2023/01/31 09:01:11 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.7.13 (default, Mar 29 2022, 02:18:16) [GCC 7.5.0] CUDA available: True numpy_random_seed: 1738647699 GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/cache/share/cuda-11.1 NVCC: Cuda compilation tools, release 11.1, V11.1.74 GCC: gcc (GCC) 5.4.0 PyTorch: 1.10.0+cu111 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX512 - CUDA Runtime 11.1 - 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_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 - CuDNN 8.0.5 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, 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-variable -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=1.10.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, TorchVision: 0.11.0+cu111 OpenCV: 4.5.5 MMEngine: 0.5.0 Runtime environment: cudnn_benchmark: False mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None diff_rank_seed: False deterministic: False Distributed launcher: pytorch Distributed training: True GPU number: 8 ------------------------------------------------------------ 2023/01/31 09:01:11 - mmengine - INFO - Config: default_scope = 'mmaction' default_hooks = dict( runtime_info=dict(type='RuntimeInfoHook'), timer=dict(type='IterTimerHook'), logger=dict(type='LoggerHook', interval=20, ignore_last=False), param_scheduler=dict(type='ParamSchedulerHook'), checkpoint=dict( type='CheckpointHook', interval=4, save_best='auto', max_keep_ckpts=3), sampler_seed=dict(type='DistSamplerSeedHook'), sync_buffers=dict(type='SyncBuffersHook')) env_cfg = dict( cudnn_benchmark=False, mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0), dist_cfg=dict(backend='nccl')) log_processor = dict(type='LogProcessor', window_size=20, by_epoch=True) vis_backends = [dict(type='LocalVisBackend')] visualizer = dict( type='ActionVisualizer', vis_backends=[dict(type='LocalVisBackend')]) log_level = 'INFO' load_from = None resume = False model = dict( type='RecognizerOmni', backbone=dict(type='OmniResNet'), cls_head=dict( type='OmniHead', image_classes=1000, video_classes=400, in_channels=2048, average_clips='prob'), data_preprocessor=dict( type='ActionDataPreprocessor', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], format_shape='MIX2d3d')) image_root = 'data/imagenet/' image_ann_train = 'meta/train.txt' video_root = 'data/kinetics400/videos_train' video_root_val = 'data/kinetics400/videos_val' video_ann_train = 'data/kinetics400/kinetics400_train_list_videos.txt' video_ann_val = 'data/kinetics400/kinetics400_val_list_videos.txt' num_images = 1281167 num_videos = 240435 batchsize_video = 16 num_gpus = 8 num_iter = 1878 batchsize_image = 85 train_pipeline = [ dict(type='DecordInit'), dict(type='SampleFrames', clip_len=8, frame_interval=8, num_clips=1), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict(type='RandomResizedCrop'), dict(type='Resize', scale=(224, 224), keep_ratio=False), dict(type='Flip', flip_ratio=0.5), dict(type='FormatShape', input_format='NCTHW'), dict(type='PackActionInputs') ] val_pipeline = [ dict(type='DecordInit'), dict( type='SampleFrames', clip_len=8, frame_interval=8, num_clips=1, test_mode=True), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict(type='CenterCrop', crop_size=224), dict(type='FormatShape', input_format='NCTHW'), dict(type='PackActionInputs') ] test_pipeline = [ dict(type='DecordInit'), dict( type='SampleFrames', clip_len=8, frame_interval=8, num_clips=10, test_mode=True), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict(type='ThreeCrop', crop_size=256), dict(type='FormatShape', input_format='NCTHW'), dict(type='PackActionInputs') ] train_dataloader = dict( batch_size=16, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='VideoDataset', ann_file='data/kinetics400/kinetics400_train_list_videos.txt', data_prefix=dict(video='data/kinetics400/videos_train'), pipeline=[ dict(type='DecordInit'), dict( type='SampleFrames', clip_len=8, frame_interval=8, num_clips=1), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict(type='RandomResizedCrop'), dict(type='Resize', scale=(224, 224), keep_ratio=False), dict(type='Flip', flip_ratio=0.5), dict(type='FormatShape', input_format='NCTHW'), dict(type='PackActionInputs') ])) val_dataloader = dict( batch_size=16, num_workers=4, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='VideoDataset', ann_file='data/kinetics400/kinetics400_val_list_videos.txt', data_prefix=dict(video='data/kinetics400/videos_val'), pipeline=[ dict(type='DecordInit'), dict( type='SampleFrames', clip_len=8, frame_interval=8, num_clips=1, test_mode=True), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict(type='CenterCrop', crop_size=224), dict(type='FormatShape', input_format='NCTHW'), dict(type='PackActionInputs') ], test_mode=True)) test_dataloader = dict( batch_size=1, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='VideoDataset', ann_file='data/kinetics400/kinetics400_val_list_videos.txt', data_prefix=dict(video='data/kinetics400/videos_val'), pipeline=[ dict(type='DecordInit'), dict( type='SampleFrames', clip_len=8, frame_interval=8, num_clips=10, test_mode=True), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict(type='ThreeCrop', crop_size=256), dict(type='FormatShape', input_format='NCTHW'), dict(type='PackActionInputs') ], test_mode=True)) imagenet_pipeline = [ dict(type='LoadRGBFromFile'), dict(type='mmcls.RandomResizedCrop', scale=224), dict(type='mmcls.RandomFlip', prob=0.5, direction='horizontal'), dict(type='mmcls.PackClsInputs') ] image_dataloader = dict( batch_size=85, num_workers=8, dataset=dict( type='mmcls.ImageNet', data_root='data/imagenet/', ann_file='meta/train.txt', data_prefix='train', pipeline=[ dict(type='LoadRGBFromFile'), dict(type='mmcls.RandomResizedCrop', scale=224), dict(type='mmcls.RandomFlip', prob=0.5, direction='horizontal'), dict(type='mmcls.PackClsInputs') ]), sampler=dict(type='DefaultSampler', shuffle=True)) val_evaluator = dict(type='AccMetric') test_evaluator = dict(type='AccMetric') train_cfg = dict( type='MultiLoaderEpochBasedTrainLoop', other_loaders=[ dict( batch_size=85, num_workers=8, dataset=dict( type='mmcls.ImageNet', data_root='data/imagenet/', ann_file='meta/train.txt', data_prefix='train', pipeline=[ dict(type='LoadRGBFromFile'), dict(type='mmcls.RandomResizedCrop', scale=224), dict( type='mmcls.RandomFlip', prob=0.5, direction='horizontal'), dict(type='mmcls.PackClsInputs') ]), sampler=dict(type='DefaultSampler', shuffle=True)) ], max_epochs=256, val_interval=4) val_cfg = dict(type='ValLoop') test_cfg = dict(type='TestLoop') param_scheduler = [ dict( type='LinearLR', start_factor=0.1, by_epoch=True, begin=0, end=34, convert_to_iter_based=True), dict( type='CosineAnnealingLR', T_max=222, eta_min=0, by_epoch=True, begin=34, end=256, convert_to_iter_based=True) ] optim_wrapper = dict( optimizer=dict(type='SGD', lr=0.1, momentum=0.9, weight_decay=0.0001), clip_grad=dict(max_norm=40, norm_type=2)) launcher = 'pytorch' work_dir = './work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb' randomness = dict(seed=None, diff_rank_seed=False, deterministic=False) 2023/01/31 09:01:11 - mmengine - WARNING - The "visualizer" registry in mmaction did not set import location. Fallback to call `mmaction.utils.register_all_modules` instead. 2023/01/31 09:01:11 - mmengine - WARNING - The "vis_backend" registry in mmaction did not set import location. Fallback to call `mmaction.utils.register_all_modules` instead. 2023/01/31 09:01:11 - mmengine - WARNING - The "model" registry in mmaction did not set import location. Fallback to call `mmaction.utils.register_all_modules` instead. 2023/01/31 09:01:11 - mmengine - WARNING - The "hook" registry in mmaction did not set import location. Fallback to call `mmaction.utils.register_all_modules` instead. 2023/01/31 09:01:11 - mmengine - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) RuntimeInfoHook (BELOW_NORMAL) LoggerHook -------------------- before_train: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (VERY_LOW ) CheckpointHook -------------------- before_train_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (NORMAL ) DistSamplerSeedHook -------------------- before_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook -------------------- after_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- after_train_epoch: (NORMAL ) IterTimerHook (NORMAL ) SyncBuffersHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_val_epoch: (NORMAL ) IterTimerHook -------------------- before_val_iter: (NORMAL ) IterTimerHook -------------------- after_val_iter: (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_val_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_test_epoch: (NORMAL ) IterTimerHook -------------------- before_test_iter: (NORMAL ) IterTimerHook -------------------- after_test_iter: (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_test_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_run: (BELOW_NORMAL) LoggerHook -------------------- 2023/01/31 09:01:12 - mmengine - WARNING - The "loop" registry in mmaction did not set import location. Fallback to call `mmaction.utils.register_all_modules` instead. 2023/01/31 09:01:12 - mmengine - WARNING - The "dataset" registry in mmaction did not set import location. Fallback to call `mmaction.utils.register_all_modules` instead. 2023/01/31 09:01:12 - mmengine - WARNING - The "transform" registry in mmaction did not set import location. Fallback to call `mmaction.utils.register_all_modules` instead. 2023/01/31 09:01:13 - mmengine - WARNING - The "data sampler" registry in mmaction did not set import location. Fallback to call `mmaction.utils.register_all_modules` instead. 2023/01/31 09:01:14 - mmengine - WARNING - The "dataset" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 2023/01/31 09:01:14 - mmengine - WARNING - The "transform" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 2023/01/31 09:01:21 - mmengine - WARNING - The "optimizer wrapper constructor" registry in mmaction did not set import location. Fallback to call `mmaction.utils.register_all_modules` instead. 2023/01/31 09:01:21 - mmengine - WARNING - The "optimizer" registry in mmaction did not set import location. Fallback to call `mmaction.utils.register_all_modules` instead. 2023/01/31 09:01:21 - mmengine - WARNING - The "optim_wrapper" registry in mmaction did not set import location. Fallback to call `mmaction.utils.register_all_modules` instead. 2023/01/31 09:01:21 - mmengine - WARNING - The "parameter scheduler" registry in mmaction did not set import location. Fallback to call `mmaction.utils.register_all_modules` instead. 2023/01/31 09:01:22 - mmengine - WARNING - The "metric" registry in mmaction did not set import location. Fallback to call `mmaction.utils.register_all_modules` instead. Name of parameter - Initialization information backbone.conv1.weight - torch.Size([64, 3, 1, 7, 7]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.bn1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.bn1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.0.conv2.weight - torch.Size([64, 64, 1, 3, 3]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.0.bn1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.0.bn1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.0.bn2.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.0.bn2.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.0.bn3.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.0.bn3.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.0.downsample.0.weight - torch.Size([256, 64, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.0.downsample.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.0.downsample.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.1.conv2.weight - torch.Size([64, 64, 1, 3, 3]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.1.bn1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.1.bn1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.1.bn2.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.1.bn2.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.1.bn3.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.1.bn3.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.2.conv2.weight - torch.Size([64, 64, 1, 3, 3]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.2.bn1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.2.bn1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.2.bn2.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.2.bn2.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.2.bn3.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer1.2.bn3.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.0.conv1.weight - torch.Size([128, 256, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.0.conv2.weight - torch.Size([128, 128, 1, 3, 3]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.0.conv3.weight - torch.Size([512, 128, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.0.bn1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.0.bn1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.0.bn2.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.0.bn2.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.0.bn3.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.0.bn3.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.0.downsample.0.weight - torch.Size([512, 256, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.0.downsample.1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.0.downsample.1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.1.conv1.weight - torch.Size([128, 512, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.1.conv2.weight - torch.Size([128, 128, 1, 3, 3]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.1.conv3.weight - torch.Size([512, 128, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.1.bn1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.1.bn1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.1.bn2.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.1.bn2.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.1.bn3.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.1.bn3.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.2.conv1.weight - torch.Size([128, 512, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.2.conv2.weight - torch.Size([128, 128, 1, 3, 3]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.2.conv3.weight - torch.Size([512, 128, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.2.bn1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.2.bn1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.2.bn2.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.2.bn2.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.2.bn3.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.2.bn3.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.3.conv1.weight - torch.Size([128, 512, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.3.conv2.weight - torch.Size([128, 128, 1, 3, 3]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.3.conv3.weight - torch.Size([512, 128, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.3.bn1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.3.bn1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.3.bn2.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.3.bn2.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.3.bn3.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer2.3.bn3.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.0.conv1.weight - torch.Size([256, 512, 3, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.0.conv2.weight - torch.Size([256, 256, 1, 3, 3]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.0.conv3.weight - torch.Size([1024, 256, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.0.bn1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.0.bn1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.0.bn2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.0.bn2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.0.bn3.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.0.bn3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.0.downsample.0.weight - torch.Size([1024, 512, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.0.downsample.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.0.downsample.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.1.conv1.weight - torch.Size([256, 1024, 3, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.1.conv2.weight - torch.Size([256, 256, 1, 3, 3]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.1.conv3.weight - torch.Size([1024, 256, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.1.bn1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.1.bn1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.1.bn2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.1.bn2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.1.bn3.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.1.bn3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.2.conv1.weight - torch.Size([256, 1024, 3, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.2.conv2.weight - torch.Size([256, 256, 1, 3, 3]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.2.conv3.weight - torch.Size([1024, 256, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.2.bn1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.2.bn1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.2.bn2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.2.bn2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.2.bn3.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.2.bn3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.3.conv1.weight - torch.Size([256, 1024, 3, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.3.conv2.weight - torch.Size([256, 256, 1, 3, 3]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.3.conv3.weight - torch.Size([1024, 256, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.3.bn1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.3.bn1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.3.bn2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.3.bn2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.3.bn3.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.3.bn3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.4.conv1.weight - torch.Size([256, 1024, 3, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.4.conv2.weight - torch.Size([256, 256, 1, 3, 3]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.4.conv3.weight - torch.Size([1024, 256, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.4.bn1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.4.bn1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.4.bn2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.4.bn2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.4.bn3.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.4.bn3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.5.conv1.weight - torch.Size([256, 1024, 3, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.5.conv2.weight - torch.Size([256, 256, 1, 3, 3]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.5.conv3.weight - torch.Size([1024, 256, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.5.bn1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.5.bn1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.5.bn2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.5.bn2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.5.bn3.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer3.5.bn3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.0.conv1.weight - torch.Size([512, 1024, 3, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.0.conv2.weight - torch.Size([512, 512, 1, 3, 3]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.0.conv3.weight - torch.Size([2048, 512, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.0.bn1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.0.bn1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.0.bn2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.0.bn2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.0.bn3.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.0.bn3.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.0.downsample.0.weight - torch.Size([2048, 1024, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.0.downsample.1.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.0.downsample.1.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.1.conv1.weight - torch.Size([512, 2048, 3, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.1.conv2.weight - torch.Size([512, 512, 1, 3, 3]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.1.conv3.weight - torch.Size([2048, 512, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.1.bn1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.1.bn1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.1.bn2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.1.bn2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.1.bn3.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.1.bn3.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.2.conv1.weight - torch.Size([512, 2048, 3, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.2.conv2.weight - torch.Size([512, 512, 1, 3, 3]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.2.conv3.weight - torch.Size([2048, 512, 1, 1, 1]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.2.bn1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.2.bn1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.2.bn2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.2.bn2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.2.bn3.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of RecognizerOmni backbone.layer4.2.bn3.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of RecognizerOmni cls_head.fc2d.2.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of RecognizerOmni cls_head.fc2d.2.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of RecognizerOmni cls_head.fc2d.4.weight - torch.Size([1000, 2048]): The value is the same before and after calling `init_weights` of RecognizerOmni cls_head.fc2d.4.bias - torch.Size([1000]): The value is the same before and after calling `init_weights` of RecognizerOmni cls_head.fc3d.2.weight - torch.Size([800, 2048]): The value is the same before and after calling `init_weights` of RecognizerOmni cls_head.fc3d.2.bias - torch.Size([800]): The value is the same before and after calling `init_weights` of RecognizerOmni cls_head.fc3d.3.weight - torch.Size([800]): The value is the same before and after calling `init_weights` of RecognizerOmni cls_head.fc3d.3.bias - torch.Size([800]): The value is the same before and after calling `init_weights` of RecognizerOmni cls_head.fc3d.6.weight - torch.Size([400, 800]): The value is the same before and after calling `init_weights` of RecognizerOmni cls_head.fc3d.6.bias - torch.Size([400]): The value is the same before and after calling `init_weights` of RecognizerOmni 2023/01/31 09:01:22 - mmengine - INFO - Checkpoints will be saved to /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb. 2023/01/31 09:01:37 - mmengine - INFO - Epoch(train) [1][ 20/1879] lr: 1.0027e-02 eta: 4 days, 5:53:15 time: 0.7626 data_time: 0.2969 memory: 18108 grad_norm: 37.5906 loss: 13.1674 top1_acc_0: 0.0000 top5_acc_0: 0.0000 loss_cls_0: 6.1140 top1_acc_1: 0.0000 top5_acc_1: 0.0000 loss_cls_1: 7.0534 2023/01/31 09:01:47 - mmengine - INFO - Epoch(train) [1][ 40/1879] lr: 1.0055e-02 eta: 3 days, 10:14:36 time: 0.4686 data_time: 0.0307 memory: 18108 grad_norm: 5.0766 loss: 12.9846 top1_acc_0: 0.0000 top5_acc_0: 0.0000 loss_cls_0: 6.0533 top1_acc_1: 0.0000 top5_acc_1: 0.0000 loss_cls_1: 6.9313 2023/01/31 09:01:56 - mmengine - INFO - Epoch(train) [1][ 60/1879] lr: 1.0083e-02 eta: 3 days, 4:54:58 time: 0.4960 data_time: 0.0378 memory: 18108 grad_norm: 4.2797 loss: 12.9065 top1_acc_0: 0.0000 top5_acc_0: 0.0000 loss_cls_0: 6.0204 top1_acc_1: 0.0118 top5_acc_1: 0.0235 loss_cls_1: 6.8861 2023/01/31 09:02:06 - mmengine - INFO - Epoch(train) [1][ 80/1879] lr: 1.0111e-02 eta: 3 days, 2:08:31 time: 0.4927 data_time: 0.0378 memory: 18108 grad_norm: 4.1629 loss: 12.8168 top1_acc_0: 0.0625 top5_acc_0: 0.1250 loss_cls_0: 6.0362 top1_acc_1: 0.0000 top5_acc_1: 0.0235 loss_cls_1: 6.7806 2023/01/31 09:02:16 - mmengine - INFO - Epoch(train) [1][ 100/1879] lr: 1.0139e-02 eta: 2 days, 23:57:07 time: 0.4731 data_time: 0.0367 memory: 18108 grad_norm: 4.1070 loss: 12.6851 top1_acc_0: 0.0000 top5_acc_0: 0.1250 loss_cls_0: 5.9110 top1_acc_1: 0.0000 top5_acc_1: 0.0118 loss_cls_1: 6.7741 2023/01/31 09:02:25 - mmengine - INFO - Epoch(train) [1][ 120/1879] lr: 1.0168e-02 eta: 2 days, 22:12:53 time: 0.4607 data_time: 0.0306 memory: 18108 grad_norm: 4.0561 loss: 12.6757 top1_acc_0: 0.0000 top5_acc_0: 0.0625 loss_cls_0: 5.9484 top1_acc_1: 0.0118 top5_acc_1: 0.0471 loss_cls_1: 6.7272 2023/01/31 09:02:35 - mmengine - INFO - Epoch(train) [1][ 140/1879] lr: 1.0196e-02 eta: 2 days, 21:52:25 time: 0.5079 data_time: 0.0426 memory: 18108 grad_norm: 4.1223 loss: 12.5333 top1_acc_0: 0.0000 top5_acc_0: 0.0625 loss_cls_0: 5.8665 top1_acc_1: 0.0118 top5_acc_1: 0.0588 loss_cls_1: 6.6667 2023/01/31 09:02:45 - mmengine - INFO - Epoch(train) [1][ 160/1879] lr: 1.0224e-02 eta: 2 days, 20:56:18 time: 0.4672 data_time: 0.0274 memory: 18108 grad_norm: 4.1798 loss: 12.5282 top1_acc_0: 0.0000 top5_acc_0: 0.0000 loss_cls_0: 5.9243 top1_acc_1: 0.0353 top5_acc_1: 0.0706 loss_cls_1: 6.6040 2023/01/31 09:02:54 - mmengine - INFO - Epoch(train) [1][ 180/1879] lr: 1.0252e-02 eta: 2 days, 20:19:24 time: 0.4749 data_time: 0.0383 memory: 18108 grad_norm: 4.1506 loss: 12.4017 top1_acc_0: 0.0000 top5_acc_0: 0.0625 loss_cls_0: 5.8171 top1_acc_1: 0.0000 top5_acc_1: 0.0353 loss_cls_1: 6.5846 2023/01/31 09:03:04 - mmengine - INFO - Epoch(train) [1][ 200/1879] lr: 1.0280e-02 eta: 2 days, 19:52:14 time: 0.4778 data_time: 0.0292 memory: 18108 grad_norm: 4.1608 loss: 12.3877 top1_acc_0: 0.0000 top5_acc_0: 0.0000 loss_cls_0: 5.8403 top1_acc_1: 0.0000 top5_acc_1: 0.0235 loss_cls_1: 6.5474 2023/01/31 09:03:14 - mmengine - INFO - Epoch(train) [1][ 220/1879] lr: 1.0309e-02 eta: 2 days, 19:46:53 time: 0.5010 data_time: 0.0354 memory: 18108 grad_norm: 4.3287 loss: 12.3900 top1_acc_0: 0.0000 top5_acc_0: 0.0000 loss_cls_0: 5.8707 top1_acc_1: 0.0353 top5_acc_1: 0.0353 loss_cls_1: 6.5193 2023/01/31 09:03:23 - mmengine - INFO - Epoch(train) [1][ 240/1879] lr: 1.0337e-02 eta: 2 days, 19:17:38 time: 0.4640 data_time: 0.0295 memory: 18108 grad_norm: 4.4313 loss: 12.2323 top1_acc_0: 0.0000 top5_acc_0: 0.0000 loss_cls_0: 5.7595 top1_acc_1: 0.0000 top5_acc_1: 0.0471 loss_cls_1: 6.4728 2023/01/31 09:03:33 - mmengine - INFO - Epoch(train) [1][ 260/1879] lr: 1.0365e-02 eta: 2 days, 19:06:17 time: 0.4857 data_time: 0.0427 memory: 18108 grad_norm: 4.3584 loss: 12.1787 top1_acc_0: 0.0000 top5_acc_0: 0.0000 loss_cls_0: 5.6906 top1_acc_1: 0.0118 top5_acc_1: 0.0353 loss_cls_1: 6.4881 2023/01/31 09:03:43 - mmengine - INFO - Epoch(train) [1][ 280/1879] lr: 1.0393e-02 eta: 2 days, 19:04:14 time: 0.4992 data_time: 0.0321 memory: 18108 grad_norm: 4.4041 loss: 12.0683 top1_acc_0: 0.0000 top5_acc_0: 0.0000 loss_cls_0: 5.6471 top1_acc_1: 0.0118 top5_acc_1: 0.0235 loss_cls_1: 6.4212 2023/01/31 09:03:52 - mmengine - INFO - Epoch(train) [1][ 300/1879] lr: 1.0421e-02 eta: 2 days, 19:00:41 time: 0.4959 data_time: 0.0363 memory: 18108 grad_norm: 4.4106 loss: 11.9707 top1_acc_0: 0.0000 top5_acc_0: 0.0000 loss_cls_0: 5.6138 top1_acc_1: 0.0235 top5_acc_1: 0.0588 loss_cls_1: 6.3569 2023/01/31 09:04:02 - mmengine - INFO - Epoch(train) [1][ 320/1879] lr: 1.0449e-02 eta: 2 days, 18:47:16 time: 0.4754 data_time: 0.0300 memory: 18108 grad_norm: 4.6071 loss: 11.9021 top1_acc_0: 0.0000 top5_acc_0: 0.0625 loss_cls_0: 5.5501 top1_acc_1: 0.0235 top5_acc_1: 0.1176 loss_cls_1: 6.3520 2023/01/31 09:04:12 - mmengine - INFO - Epoch(train) [1][ 340/1879] lr: 1.0478e-02 eta: 2 days, 18:49:31 time: 0.5053 data_time: 0.0405 memory: 18108 grad_norm: 4.6919 loss: 11.9831 top1_acc_0: 0.0625 top5_acc_0: 0.1250 loss_cls_0: 5.6605 top1_acc_1: 0.0000 top5_acc_1: 0.0471 loss_cls_1: 6.3226 2023/01/31 09:04:22 - mmengine - INFO - Epoch(train) [1][ 360/1879] lr: 1.0506e-02 eta: 2 days, 18:44:42 time: 0.4900 data_time: 0.0281 memory: 18108 grad_norm: 4.7200 loss: 11.9149 top1_acc_0: 0.0625 top5_acc_0: 0.1875 loss_cls_0: 5.7206 top1_acc_1: 0.0353 top5_acc_1: 0.0941 loss_cls_1: 6.1943 2023/01/31 09:04:32 - mmengine - INFO - Epoch(train) [1][ 380/1879] lr: 1.0534e-02 eta: 2 days, 18:40:37 time: 0.4906 data_time: 0.0365 memory: 18108 grad_norm: 4.6882 loss: 11.8687 top1_acc_0: 0.0625 top5_acc_0: 0.1250 loss_cls_0: 5.6245 top1_acc_1: 0.0118 top5_acc_1: 0.1059 loss_cls_1: 6.2442 2023/01/31 09:04:41 - mmengine - INFO - Epoch(train) [1][ 400/1879] lr: 1.0562e-02 eta: 2 days, 18:33:02 time: 0.4809 data_time: 0.0287 memory: 18108 grad_norm: 4.8743 loss: 11.7132 top1_acc_0: 0.0000 top5_acc_0: 0.1250 loss_cls_0: 5.5105 top1_acc_1: 0.0118 top5_acc_1: 0.0588 loss_cls_1: 6.2027 2023/01/31 09:04:52 - mmengine - INFO - Epoch(train) [1][ 420/1879] lr: 1.0590e-02 eta: 2 days, 18:37:59 time: 0.5119 data_time: 0.0458 memory: 18108 grad_norm: 4.8681 loss: 11.7839 top1_acc_0: 0.0000 top5_acc_0: 0.0625 loss_cls_0: 5.6278 top1_acc_1: 0.0235 top5_acc_1: 0.0588 loss_cls_1: 6.1561 2023/01/31 09:05:01 - mmengine - INFO - Epoch(train) [1][ 440/1879] lr: 1.0618e-02 eta: 2 days, 18:29:25 time: 0.4760 data_time: 0.0289 memory: 18108 grad_norm: 4.9120 loss: 11.5623 top1_acc_0: 0.0000 top5_acc_0: 0.0625 loss_cls_0: 5.4741 top1_acc_1: 0.0000 top5_acc_1: 0.0353 loss_cls_1: 6.0883 2023/01/31 09:05:11 - mmengine - INFO - Epoch(train) [1][ 460/1879] lr: 1.0647e-02 eta: 2 days, 18:27:54 time: 0.4942 data_time: 0.0371 memory: 18108 grad_norm: 4.9613 loss: 11.7462 top1_acc_0: 0.0625 top5_acc_0: 0.1875 loss_cls_0: 5.5611 top1_acc_1: 0.0353 top5_acc_1: 0.1176 loss_cls_1: 6.1851 2023/01/31 09:05:21 - mmengine - INFO - Epoch(train) [1][ 480/1879] lr: 1.0675e-02 eta: 2 days, 18:25:18 time: 0.4906 data_time: 0.0357 memory: 18108 grad_norm: 4.8462 loss: 11.4087 top1_acc_0: 0.0000 top5_acc_0: 0.1250 loss_cls_0: 5.3765 top1_acc_1: 0.0000 top5_acc_1: 0.0353 loss_cls_1: 6.0323 2023/01/31 09:05:31 - mmengine - INFO - Epoch(train) [1][ 500/1879] lr: 1.0703e-02 eta: 2 days, 18:30:30 time: 0.5143 data_time: 0.0367 memory: 18108 grad_norm: 5.0534 loss: 11.5024 top1_acc_0: 0.0000 top5_acc_0: 0.0000 loss_cls_0: 5.4981 top1_acc_1: 0.0118 top5_acc_1: 0.0824 loss_cls_1: 6.0043 2023/01/31 09:05:41 - mmengine - INFO - Epoch(train) [1][ 520/1879] lr: 1.0731e-02 eta: 2 days, 18:25:15 time: 0.4818 data_time: 0.0299 memory: 18108 grad_norm: 5.0059 loss: 11.2935 top1_acc_0: 0.0000 top5_acc_0: 0.1875 loss_cls_0: 5.3747 top1_acc_1: 0.0353 top5_acc_1: 0.0588 loss_cls_1: 5.9188 2023/01/31 09:05:51 - mmengine - INFO - Epoch(train) [1][ 540/1879] lr: 1.0759e-02 eta: 2 days, 18:26:52 time: 0.5037 data_time: 0.0433 memory: 18108 grad_norm: 5.1545 loss: 11.4189 top1_acc_0: 0.0000 top5_acc_0: 0.0000 loss_cls_0: 5.4668 top1_acc_1: 0.0588 top5_acc_1: 0.0941 loss_cls_1: 5.9522 2023/01/31 09:06:00 - mmengine - INFO - Epoch(train) [1][ 560/1879] lr: 1.0788e-02 eta: 2 days, 18:22:36 time: 0.4835 data_time: 0.0287 memory: 18108 grad_norm: 5.0577 loss: 11.4799 top1_acc_0: 0.0000 top5_acc_0: 0.0625 loss_cls_0: 5.5369 top1_acc_1: 0.0471 top5_acc_1: 0.1647 loss_cls_1: 5.9430 2023/01/31 09:06:11 - mmengine - INFO - Epoch(train) [1][ 580/1879] lr: 1.0816e-02 eta: 2 days, 18:24:07 time: 0.5034 data_time: 0.0388 memory: 18108 grad_norm: 5.2084 loss: 11.0954 top1_acc_0: 0.0000 top5_acc_0: 0.1250 loss_cls_0: 5.2630 top1_acc_1: 0.0118 top5_acc_1: 0.0941 loss_cls_1: 5.8324 2023/01/31 09:06:20 - mmengine - INFO - Epoch(train) [1][ 600/1879] lr: 1.0844e-02 eta: 2 days, 18:21:54 time: 0.4899 data_time: 0.0371 memory: 18108 grad_norm: 5.1807 loss: 11.1689 top1_acc_0: 0.0000 top5_acc_0: 0.0625 loss_cls_0: 5.3063 top1_acc_1: 0.0588 top5_acc_1: 0.1529 loss_cls_1: 5.8627 2023/01/31 09:06:30 - mmengine - INFO - Epoch(train) [1][ 620/1879] lr: 1.0872e-02 eta: 2 days, 18:23:38 time: 0.5047 data_time: 0.0345 memory: 18108 grad_norm: 5.2319 loss: 11.1539 top1_acc_0: 0.0000 top5_acc_0: 0.1875 loss_cls_0: 5.3268 top1_acc_1: 0.0235 top5_acc_1: 0.0824 loss_cls_1: 5.8270 2023/01/31 09:06:40 - mmengine - INFO - Epoch(train) [1][ 640/1879] lr: 1.0900e-02 eta: 2 days, 18:18:56 time: 0.4794 data_time: 0.0258 memory: 18108 grad_norm: 5.2349 loss: 11.0730 top1_acc_0: 0.0000 top5_acc_0: 0.0625 loss_cls_0: 5.2888 top1_acc_1: 0.0824 top5_acc_1: 0.1294 loss_cls_1: 5.7841 2023/01/31 09:06:50 - mmengine - INFO - Epoch(train) [1][ 660/1879] lr: 1.0928e-02 eta: 2 days, 18:20:00 time: 0.5020 data_time: 0.0368 memory: 18108 grad_norm: 5.1256 loss: 11.0623 top1_acc_0: 0.0000 top5_acc_0: 0.0625 loss_cls_0: 5.3135 top1_acc_1: 0.0353 top5_acc_1: 0.1294 loss_cls_1: 5.7488 2023/01/31 09:07:00 - mmengine - INFO - Epoch(train) [1][ 680/1879] lr: 1.0957e-02 eta: 2 days, 18:20:13 time: 0.4987 data_time: 0.0355 memory: 18108 grad_norm: 5.3778 loss: 11.0558 top1_acc_0: 0.0000 top5_acc_0: 0.0000 loss_cls_0: 5.3128 top1_acc_1: 0.0235 top5_acc_1: 0.0941 loss_cls_1: 5.7429 2023/01/31 09:07:10 - mmengine - INFO - Epoch(train) [1][ 700/1879] lr: 1.0985e-02 eta: 2 days, 18:23:25 time: 0.5119 data_time: 0.0309 memory: 18108 grad_norm: 5.2445 loss: 10.9837 top1_acc_0: 0.0000 top5_acc_0: 0.0000 loss_cls_0: 5.2478 top1_acc_1: 0.0353 top5_acc_1: 0.1176 loss_cls_1: 5.7359 2023/01/31 09:07:20 - mmengine - INFO - Epoch(train) [1][ 720/1879] lr: 1.1013e-02 eta: 2 days, 18:22:27 time: 0.4940 data_time: 0.0327 memory: 18108 grad_norm: 5.2033 loss: 10.9758 top1_acc_0: 0.0000 top5_acc_0: 0.1250 loss_cls_0: 5.2834 top1_acc_1: 0.0353 top5_acc_1: 0.1412 loss_cls_1: 5.6924 2023/01/31 09:07:30 - mmengine - INFO - Epoch(train) [1][ 740/1879] lr: 1.1041e-02 eta: 2 days, 18:24:42 time: 0.5087 data_time: 0.0331 memory: 18108 grad_norm: 5.3577 loss: 10.8731 top1_acc_0: 0.0000 top5_acc_0: 0.0000 loss_cls_0: 5.2171 top1_acc_1: 0.0471 top5_acc_1: 0.1412 loss_cls_1: 5.6559 2023/01/31 09:07:40 - mmengine - INFO - Epoch(train) [1][ 760/1879] lr: 1.1069e-02 eta: 2 days, 18:25:34 time: 0.5027 data_time: 0.0357 memory: 18108 grad_norm: 5.2497 loss: 10.8472 top1_acc_0: 0.0000 top5_acc_0: 0.1250 loss_cls_0: 5.1927 top1_acc_1: 0.0471 top5_acc_1: 0.1765 loss_cls_1: 5.6546 2023/01/31 09:07:50 - mmengine - INFO - Epoch(train) [1][ 780/1879] lr: 1.1097e-02 eta: 2 days, 18:25:38 time: 0.4991 data_time: 0.0318 memory: 18108 grad_norm: 5.3487 loss: 10.8361 top1_acc_0: 0.0000 top5_acc_0: 0.0000 loss_cls_0: 5.2487 top1_acc_1: 0.0353 top5_acc_1: 0.1647 loss_cls_1: 5.5873 2023/01/31 09:08:00 - mmengine - INFO - Epoch(train) [1][ 800/1879] lr: 1.1126e-02 eta: 2 days, 18:23:58 time: 0.4904 data_time: 0.0321 memory: 18108 grad_norm: 5.2960 loss: 10.8857 top1_acc_0: 0.0625 top5_acc_0: 0.1875 loss_cls_0: 5.2664 top1_acc_1: 0.0706 top5_acc_1: 0.1529 loss_cls_1: 5.6193 2023/01/31 09:08:10 - mmengine - INFO - Epoch(train) [1][ 820/1879] lr: 1.1154e-02 eta: 2 days, 18:25:08 time: 0.5046 data_time: 0.0312 memory: 18108 grad_norm: 5.2844 loss: 10.8321 top1_acc_0: 0.0000 top5_acc_0: 0.2500 loss_cls_0: 5.2046 top1_acc_1: 0.0706 top5_acc_1: 0.1529 loss_cls_1: 5.6276 2023/01/31 09:08:20 - mmengine - INFO - Epoch(train) [1][ 840/1879] lr: 1.1182e-02 eta: 2 days, 18:21:54 time: 0.4819 data_time: 0.0345 memory: 18108 grad_norm: 5.2338 loss: 10.7067 top1_acc_0: 0.1250 top5_acc_0: 0.1250 loss_cls_0: 5.2318 top1_acc_1: 0.0706 top5_acc_1: 0.1765 loss_cls_1: 5.4748 2023/01/31 09:08:30 - mmengine - INFO - Epoch(train) [1][ 860/1879] lr: 1.1210e-02 eta: 2 days, 18:23:23 time: 0.5063 data_time: 0.0400 memory: 18108 grad_norm: 5.4372 loss: 10.6969 top1_acc_0: 0.1250 top5_acc_0: 0.1875 loss_cls_0: 5.1871 top1_acc_1: 0.0353 top5_acc_1: 0.1529 loss_cls_1: 5.5098 2023/01/31 09:08:40 - mmengine - INFO - Epoch(train) [1][ 880/1879] lr: 1.1238e-02 eta: 2 days, 18:21:04 time: 0.4860 data_time: 0.0348 memory: 18108 grad_norm: 5.3985 loss: 10.7013 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 5.1469 top1_acc_1: 0.0588 top5_acc_1: 0.2118 loss_cls_1: 5.5544 2023/01/31 09:08:50 - mmengine - INFO - Epoch(train) [1][ 900/1879] lr: 1.1266e-02 eta: 2 days, 18:20:43 time: 0.4964 data_time: 0.0325 memory: 18108 grad_norm: 5.2137 loss: 10.4937 top1_acc_0: 0.0000 top5_acc_0: 0.0625 loss_cls_0: 5.0493 top1_acc_1: 0.0588 top5_acc_1: 0.2353 loss_cls_1: 5.4445 2023/01/31 09:09:00 - mmengine - INFO - Epoch(train) [1][ 920/1879] lr: 1.1295e-02 eta: 2 days, 18:19:34 time: 0.4918 data_time: 0.0349 memory: 18108 grad_norm: 5.2535 loss: 10.6725 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 5.2331 top1_acc_1: 0.0588 top5_acc_1: 0.2118 loss_cls_1: 5.4393 2023/01/31 09:09:10 - mmengine - INFO - Epoch(train) [1][ 940/1879] lr: 1.1323e-02 eta: 2 days, 18:21:21 time: 0.5087 data_time: 0.0360 memory: 18108 grad_norm: 5.3308 loss: 10.4426 top1_acc_0: 0.1250 top5_acc_0: 0.1875 loss_cls_0: 5.1118 top1_acc_1: 0.0941 top5_acc_1: 0.2471 loss_cls_1: 5.3308 2023/01/31 09:09:19 - mmengine - INFO - Epoch(train) [1][ 960/1879] lr: 1.1351e-02 eta: 2 days, 18:19:26 time: 0.4871 data_time: 0.0347 memory: 18108 grad_norm: 5.4194 loss: 10.4557 top1_acc_0: 0.0000 top5_acc_0: 0.1875 loss_cls_0: 5.1382 top1_acc_1: 0.0588 top5_acc_1: 0.1176 loss_cls_1: 5.3175 2023/01/31 09:09:29 - mmengine - INFO - Epoch(train) [1][ 980/1879] lr: 1.1379e-02 eta: 2 days, 18:17:46 time: 0.4882 data_time: 0.0325 memory: 18108 grad_norm: 5.3996 loss: 10.4547 top1_acc_0: 0.0000 top5_acc_0: 0.1875 loss_cls_0: 5.0955 top1_acc_1: 0.1176 top5_acc_1: 0.2235 loss_cls_1: 5.3592 2023/01/31 09:09:39 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 09:09:39 - mmengine - INFO - Epoch(train) [1][1000/1879] lr: 1.1407e-02 eta: 2 days, 18:18:18 time: 0.5015 data_time: 0.0343 memory: 18108 grad_norm: 5.3143 loss: 10.3174 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 4.9921 top1_acc_1: 0.0471 top5_acc_1: 0.2353 loss_cls_1: 5.3253 2023/01/31 09:09:49 - mmengine - INFO - Epoch(train) [1][1020/1879] lr: 1.1436e-02 eta: 2 days, 18:17:59 time: 0.4963 data_time: 0.0379 memory: 18108 grad_norm: 5.4626 loss: 10.4500 top1_acc_0: 0.0625 top5_acc_0: 0.1875 loss_cls_0: 5.1015 top1_acc_1: 0.0588 top5_acc_1: 0.2000 loss_cls_1: 5.3485 2023/01/31 09:09:59 - mmengine - INFO - Epoch(train) [1][1040/1879] lr: 1.1464e-02 eta: 2 days, 18:16:29 time: 0.4886 data_time: 0.0342 memory: 18108 grad_norm: 5.3616 loss: 10.4653 top1_acc_0: 0.0000 top5_acc_0: 0.0625 loss_cls_0: 5.1015 top1_acc_1: 0.0353 top5_acc_1: 0.2588 loss_cls_1: 5.3638 2023/01/31 09:10:09 - mmengine - INFO - Epoch(train) [1][1060/1879] lr: 1.1492e-02 eta: 2 days, 18:16:32 time: 0.4985 data_time: 0.0318 memory: 18108 grad_norm: 5.4616 loss: 10.3640 top1_acc_0: 0.0625 top5_acc_0: 0.1250 loss_cls_0: 5.0032 top1_acc_1: 0.0824 top5_acc_1: 0.1765 loss_cls_1: 5.3608 2023/01/31 09:10:19 - mmengine - INFO - Epoch(train) [1][1080/1879] lr: 1.1520e-02 eta: 2 days, 18:16:27 time: 0.4976 data_time: 0.0354 memory: 18108 grad_norm: 5.3569 loss: 10.3671 top1_acc_0: 0.0625 top5_acc_0: 0.1875 loss_cls_0: 5.1011 top1_acc_1: 0.0235 top5_acc_1: 0.1412 loss_cls_1: 5.2659 2023/01/31 09:10:29 - mmengine - INFO - Epoch(train) [1][1100/1879] lr: 1.1548e-02 eta: 2 days, 18:16:19 time: 0.4973 data_time: 0.0310 memory: 18108 grad_norm: 5.4304 loss: 10.3358 top1_acc_0: 0.0625 top5_acc_0: 0.1875 loss_cls_0: 5.0491 top1_acc_1: 0.0588 top5_acc_1: 0.2000 loss_cls_1: 5.2868 2023/01/31 09:10:38 - mmengine - INFO - Epoch(train) [1][1120/1879] lr: 1.1576e-02 eta: 2 days, 18:14:18 time: 0.4843 data_time: 0.0347 memory: 18108 grad_norm: 5.3188 loss: 10.1859 top1_acc_0: 0.0000 top5_acc_0: 0.1875 loss_cls_0: 4.8961 top1_acc_1: 0.0471 top5_acc_1: 0.1529 loss_cls_1: 5.2897 2023/01/31 09:10:48 - mmengine - INFO - Epoch(train) [1][1140/1879] lr: 1.1605e-02 eta: 2 days, 18:14:25 time: 0.4989 data_time: 0.0313 memory: 18108 grad_norm: 5.5853 loss: 10.2384 top1_acc_0: 0.0000 top5_acc_0: 0.1250 loss_cls_0: 4.9246 top1_acc_1: 0.0471 top5_acc_1: 0.1647 loss_cls_1: 5.3137 2023/01/31 09:10:58 - mmengine - INFO - Epoch(train) [1][1160/1879] lr: 1.1633e-02 eta: 2 days, 18:12:36 time: 0.4849 data_time: 0.0412 memory: 18108 grad_norm: 5.3878 loss: 10.1795 top1_acc_0: 0.0625 top5_acc_0: 0.1250 loss_cls_0: 4.9375 top1_acc_1: 0.1412 top5_acc_1: 0.3059 loss_cls_1: 5.2420 2023/01/31 09:11:08 - mmengine - INFO - Epoch(train) [1][1180/1879] lr: 1.1661e-02 eta: 2 days, 18:13:11 time: 0.5023 data_time: 0.0314 memory: 18108 grad_norm: 5.4690 loss: 10.1033 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 4.9169 top1_acc_1: 0.1176 top5_acc_1: 0.2471 loss_cls_1: 5.1864 2023/01/31 09:11:18 - mmengine - INFO - Epoch(train) [1][1200/1879] lr: 1.1689e-02 eta: 2 days, 18:14:15 time: 0.5061 data_time: 0.0338 memory: 18108 grad_norm: 5.4505 loss: 10.1874 top1_acc_0: 0.0000 top5_acc_0: 0.1875 loss_cls_0: 4.9899 top1_acc_1: 0.0706 top5_acc_1: 0.2000 loss_cls_1: 5.1975 2023/01/31 09:11:29 - mmengine - INFO - Epoch(train) [1][1220/1879] lr: 1.1717e-02 eta: 2 days, 18:15:44 time: 0.5095 data_time: 0.0336 memory: 18108 grad_norm: 5.4320 loss: 9.9732 top1_acc_0: 0.0625 top5_acc_0: 0.3125 loss_cls_0: 4.8911 top1_acc_1: 0.1294 top5_acc_1: 0.2471 loss_cls_1: 5.0821 2023/01/31 09:11:38 - mmengine - INFO - Epoch(train) [1][1240/1879] lr: 1.1745e-02 eta: 2 days, 18:15:36 time: 0.4974 data_time: 0.0342 memory: 18108 grad_norm: 5.4219 loss: 9.9812 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 4.8474 top1_acc_1: 0.1765 top5_acc_1: 0.2706 loss_cls_1: 5.1338 2023/01/31 09:11:49 - mmengine - INFO - Epoch(train) [1][1260/1879] lr: 1.1774e-02 eta: 2 days, 18:17:53 time: 0.5165 data_time: 0.0321 memory: 18108 grad_norm: 5.4868 loss: 10.0515 top1_acc_0: 0.0625 top5_acc_0: 0.0625 loss_cls_0: 4.9897 top1_acc_1: 0.1059 top5_acc_1: 0.2353 loss_cls_1: 5.0618 2023/01/31 09:11:59 - mmengine - INFO - Epoch(train) [1][1280/1879] lr: 1.1802e-02 eta: 2 days, 18:17:55 time: 0.4991 data_time: 0.0337 memory: 18108 grad_norm: 5.4526 loss: 10.2948 top1_acc_0: 0.0000 top5_acc_0: 0.0000 loss_cls_0: 5.1538 top1_acc_1: 0.0471 top5_acc_1: 0.2000 loss_cls_1: 5.1409 2023/01/31 09:12:09 - mmengine - INFO - Epoch(train) [1][1300/1879] lr: 1.1830e-02 eta: 2 days, 18:18:35 time: 0.5043 data_time: 0.0383 memory: 18108 grad_norm: 5.4062 loss: 9.9563 top1_acc_0: 0.0625 top5_acc_0: 0.2500 loss_cls_0: 4.7705 top1_acc_1: 0.1176 top5_acc_1: 0.2824 loss_cls_1: 5.1858 2023/01/31 09:12:19 - mmengine - INFO - Epoch(train) [1][1320/1879] lr: 1.1858e-02 eta: 2 days, 18:19:21 time: 0.5052 data_time: 0.0346 memory: 18108 grad_norm: 5.3979 loss: 9.9177 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 4.7708 top1_acc_1: 0.1059 top5_acc_1: 0.1882 loss_cls_1: 5.1469 2023/01/31 09:12:29 - mmengine - INFO - Epoch(train) [1][1340/1879] lr: 1.1886e-02 eta: 2 days, 18:19:33 time: 0.5009 data_time: 0.0321 memory: 18108 grad_norm: 5.6070 loss: 10.0295 top1_acc_0: 0.0625 top5_acc_0: 0.1875 loss_cls_0: 4.9064 top1_acc_1: 0.0706 top5_acc_1: 0.2471 loss_cls_1: 5.1231 2023/01/31 09:12:39 - mmengine - INFO - Epoch(train) [1][1360/1879] lr: 1.1915e-02 eta: 2 days, 18:20:17 time: 0.5055 data_time: 0.0430 memory: 18108 grad_norm: 5.5414 loss: 9.9000 top1_acc_0: 0.0000 top5_acc_0: 0.1875 loss_cls_0: 4.9363 top1_acc_1: 0.2000 top5_acc_1: 0.3059 loss_cls_1: 4.9637 2023/01/31 09:12:49 - mmengine - INFO - Epoch(train) [1][1380/1879] lr: 1.1943e-02 eta: 2 days, 18:21:06 time: 0.5064 data_time: 0.0323 memory: 18108 grad_norm: 5.4730 loss: 9.8743 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 4.8022 top1_acc_1: 0.1176 top5_acc_1: 0.2353 loss_cls_1: 5.0721 2023/01/31 09:13:00 - mmengine - INFO - Epoch(train) [1][1400/1879] lr: 1.1971e-02 eta: 2 days, 18:23:15 time: 0.5182 data_time: 0.0324 memory: 18108 grad_norm: 5.5537 loss: 9.8403 top1_acc_0: 0.0625 top5_acc_0: 0.4375 loss_cls_0: 4.8382 top1_acc_1: 0.0706 top5_acc_1: 0.2118 loss_cls_1: 5.0021 2023/01/31 09:13:09 - mmengine - INFO - Epoch(train) [1][1420/1879] lr: 1.1999e-02 eta: 2 days, 18:21:31 time: 0.4843 data_time: 0.0340 memory: 18108 grad_norm: 5.5863 loss: 10.0628 top1_acc_0: 0.0000 top5_acc_0: 0.1875 loss_cls_0: 4.9785 top1_acc_1: 0.1176 top5_acc_1: 0.2471 loss_cls_1: 5.0844 2023/01/31 09:13:19 - mmengine - INFO - Epoch(train) [1][1440/1879] lr: 1.2027e-02 eta: 2 days, 18:20:52 time: 0.4937 data_time: 0.0389 memory: 18108 grad_norm: 5.5386 loss: 9.9673 top1_acc_0: 0.0625 top5_acc_0: 0.0625 loss_cls_0: 4.9694 top1_acc_1: 0.1294 top5_acc_1: 0.2235 loss_cls_1: 4.9979 2023/01/31 09:13:29 - mmengine - INFO - Epoch(train) [1][1460/1879] lr: 1.2055e-02 eta: 2 days, 18:20:38 time: 0.4975 data_time: 0.0316 memory: 18108 grad_norm: 5.5418 loss: 9.7283 top1_acc_0: 0.0625 top5_acc_0: 0.1875 loss_cls_0: 4.8336 top1_acc_1: 0.0706 top5_acc_1: 0.2471 loss_cls_1: 4.8947 2023/01/31 09:13:39 - mmengine - INFO - Epoch(train) [1][1480/1879] lr: 1.2084e-02 eta: 2 days, 18:20:30 time: 0.4984 data_time: 0.0336 memory: 18108 grad_norm: 5.4409 loss: 9.5639 top1_acc_0: 0.0000 top5_acc_0: 0.2500 loss_cls_0: 4.6713 top1_acc_1: 0.0941 top5_acc_1: 0.2706 loss_cls_1: 4.8925 2023/01/31 09:13:49 - mmengine - INFO - Epoch(train) [1][1500/1879] lr: 1.2112e-02 eta: 2 days, 18:19:35 time: 0.4910 data_time: 0.0337 memory: 18108 grad_norm: 5.5346 loss: 9.7298 top1_acc_0: 0.0625 top5_acc_0: 0.1875 loss_cls_0: 4.8954 top1_acc_1: 0.0706 top5_acc_1: 0.3412 loss_cls_1: 4.8344 2023/01/31 09:13:59 - mmengine - INFO - Epoch(train) [1][1520/1879] lr: 1.2140e-02 eta: 2 days, 18:19:02 time: 0.4943 data_time: 0.0337 memory: 18108 grad_norm: 5.4445 loss: 9.6121 top1_acc_0: 0.0625 top5_acc_0: 0.1875 loss_cls_0: 4.7415 top1_acc_1: 0.0353 top5_acc_1: 0.2118 loss_cls_1: 4.8706 2023/01/31 09:14:09 - mmengine - INFO - Epoch(train) [1][1540/1879] lr: 1.2168e-02 eta: 2 days, 18:19:48 time: 0.5069 data_time: 0.0303 memory: 18108 grad_norm: 5.5127 loss: 9.6511 top1_acc_0: 0.0000 top5_acc_0: 0.0625 loss_cls_0: 4.6947 top1_acc_1: 0.0824 top5_acc_1: 0.2706 loss_cls_1: 4.9564 2023/01/31 09:14:19 - mmengine - INFO - Epoch(train) [1][1560/1879] lr: 1.2196e-02 eta: 2 days, 18:20:39 time: 0.5080 data_time: 0.0346 memory: 18108 grad_norm: 5.5469 loss: 9.6457 top1_acc_0: 0.0625 top5_acc_0: 0.1875 loss_cls_0: 4.7373 top1_acc_1: 0.0706 top5_acc_1: 0.2000 loss_cls_1: 4.9084 2023/01/31 09:14:29 - mmengine - INFO - Epoch(train) [1][1580/1879] lr: 1.2224e-02 eta: 2 days, 18:20:53 time: 0.5020 data_time: 0.0367 memory: 18108 grad_norm: 5.6074 loss: 9.7215 top1_acc_0: 0.0625 top5_acc_0: 0.3125 loss_cls_0: 4.8949 top1_acc_1: 0.1176 top5_acc_1: 0.2824 loss_cls_1: 4.8266 2023/01/31 09:14:39 - mmengine - INFO - Epoch(train) [1][1600/1879] lr: 1.2253e-02 eta: 2 days, 18:22:28 time: 0.5158 data_time: 0.0348 memory: 18108 grad_norm: 5.5693 loss: 9.7221 top1_acc_0: 0.0000 top5_acc_0: 0.3125 loss_cls_0: 4.8100 top1_acc_1: 0.0824 top5_acc_1: 0.2235 loss_cls_1: 4.9121 2023/01/31 09:14:50 - mmengine - INFO - Epoch(train) [1][1620/1879] lr: 1.2281e-02 eta: 2 days, 18:23:52 time: 0.5142 data_time: 0.0320 memory: 18108 grad_norm: 5.4647 loss: 9.5699 top1_acc_0: 0.0625 top5_acc_0: 0.0625 loss_cls_0: 4.7417 top1_acc_1: 0.1765 top5_acc_1: 0.2588 loss_cls_1: 4.8281 2023/01/31 09:15:00 - mmengine - INFO - Epoch(train) [1][1640/1879] lr: 1.2309e-02 eta: 2 days, 18:24:01 time: 0.5018 data_time: 0.0396 memory: 18108 grad_norm: 5.5696 loss: 9.4641 top1_acc_0: 0.0625 top5_acc_0: 0.1875 loss_cls_0: 4.6724 top1_acc_1: 0.1765 top5_acc_1: 0.3294 loss_cls_1: 4.7917 2023/01/31 09:15:10 - mmengine - INFO - Epoch(train) [1][1660/1879] lr: 1.2337e-02 eta: 2 days, 18:25:37 time: 0.5171 data_time: 0.0308 memory: 18108 grad_norm: 5.5492 loss: 9.5958 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 4.7316 top1_acc_1: 0.0824 top5_acc_1: 0.2235 loss_cls_1: 4.8642 2023/01/31 09:15:20 - mmengine - INFO - Epoch(train) [1][1680/1879] lr: 1.2365e-02 eta: 2 days, 18:27:21 time: 0.5189 data_time: 0.0341 memory: 18108 grad_norm: 5.6064 loss: 9.5673 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 4.8032 top1_acc_1: 0.0824 top5_acc_1: 0.2471 loss_cls_1: 4.7642 2023/01/31 09:15:31 - mmengine - INFO - Epoch(train) [1][1700/1879] lr: 1.2394e-02 eta: 2 days, 18:29:41 time: 0.5257 data_time: 0.0306 memory: 18108 grad_norm: 5.6106 loss: 9.5453 top1_acc_0: 0.0625 top5_acc_0: 0.1875 loss_cls_0: 4.6879 top1_acc_1: 0.0706 top5_acc_1: 0.2235 loss_cls_1: 4.8574 2023/01/31 09:15:41 - mmengine - INFO - Epoch(train) [1][1720/1879] lr: 1.2422e-02 eta: 2 days, 18:30:58 time: 0.5151 data_time: 0.0407 memory: 18108 grad_norm: 5.5500 loss: 9.4475 top1_acc_0: 0.0625 top5_acc_0: 0.1250 loss_cls_0: 4.6490 top1_acc_1: 0.1529 top5_acc_1: 0.3176 loss_cls_1: 4.7985 2023/01/31 09:15:52 - mmengine - INFO - Epoch(train) [1][1740/1879] lr: 1.2450e-02 eta: 2 days, 18:32:34 time: 0.5187 data_time: 0.0320 memory: 18108 grad_norm: 5.5816 loss: 9.3824 top1_acc_0: 0.0625 top5_acc_0: 0.1250 loss_cls_0: 4.6672 top1_acc_1: 0.1882 top5_acc_1: 0.3529 loss_cls_1: 4.7152 2023/01/31 09:16:02 - mmengine - INFO - Epoch(train) [1][1760/1879] lr: 1.2478e-02 eta: 2 days, 18:35:04 time: 0.5293 data_time: 0.0317 memory: 18108 grad_norm: 5.5445 loss: 9.4695 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 4.7323 top1_acc_1: 0.1294 top5_acc_1: 0.3059 loss_cls_1: 4.7371 2023/01/31 09:16:13 - mmengine - INFO - Epoch(train) [1][1780/1879] lr: 1.2506e-02 eta: 2 days, 18:36:19 time: 0.5159 data_time: 0.0371 memory: 18108 grad_norm: 5.5548 loss: 9.4117 top1_acc_0: 0.0625 top5_acc_0: 0.2500 loss_cls_0: 4.6135 top1_acc_1: 0.1176 top5_acc_1: 0.2706 loss_cls_1: 4.7981 2023/01/31 09:16:23 - mmengine - INFO - Epoch(train) [1][1800/1879] lr: 1.2534e-02 eta: 2 days, 18:38:01 time: 0.5214 data_time: 0.0340 memory: 18108 grad_norm: 5.6183 loss: 9.6625 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 4.8224 top1_acc_1: 0.1412 top5_acc_1: 0.2588 loss_cls_1: 4.8401 2023/01/31 09:16:33 - mmengine - INFO - Epoch(train) [1][1820/1879] lr: 1.2563e-02 eta: 2 days, 18:39:11 time: 0.5157 data_time: 0.0303 memory: 18108 grad_norm: 5.5594 loss: 9.3902 top1_acc_0: 0.0000 top5_acc_0: 0.0625 loss_cls_0: 4.7049 top1_acc_1: 0.1529 top5_acc_1: 0.3529 loss_cls_1: 4.6853 2023/01/31 09:16:43 - mmengine - INFO - Epoch(train) [1][1840/1879] lr: 1.2591e-02 eta: 2 days, 18:39:26 time: 0.5055 data_time: 0.0340 memory: 18108 grad_norm: 5.6240 loss: 9.4912 top1_acc_0: 0.0625 top5_acc_0: 0.1875 loss_cls_0: 4.8833 top1_acc_1: 0.2000 top5_acc_1: 0.4000 loss_cls_1: 4.6079 2023/01/31 09:16:54 - mmengine - INFO - Epoch(train) [1][1860/1879] lr: 1.2619e-02 eta: 2 days, 18:40:30 time: 0.5153 data_time: 0.0389 memory: 18108 grad_norm: 5.6050 loss: 9.2684 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 4.6137 top1_acc_1: 0.1647 top5_acc_1: 0.3176 loss_cls_1: 4.6547 2023/01/31 09:17:03 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 09:17:03 - mmengine - INFO - Epoch(train) [1][1879/1879] lr: 1.2646e-02 eta: 2 days, 18:39:04 time: 0.4885 data_time: 0.0281 memory: 18108 grad_norm: 5.7727 loss: 9.0641 top1_acc_0: 0.1429 top5_acc_0: 0.1429 loss_cls_0: 4.4525 top1_acc_1: 0.2000 top5_acc_1: 0.3882 loss_cls_1: 4.6116 2023/01/31 09:17:18 - mmengine - INFO - Epoch(train) [2][ 20/1879] lr: 1.2674e-02 eta: 2 days, 18:55:19 time: 0.6960 data_time: 0.2632 memory: 18108 grad_norm: 5.5615 loss: 9.1755 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 4.5649 top1_acc_1: 0.1529 top5_acc_1: 0.2941 loss_cls_1: 4.6106 2023/01/31 09:17:27 - mmengine - INFO - Epoch(train) [2][ 40/1879] lr: 1.2702e-02 eta: 2 days, 18:51:31 time: 0.4592 data_time: 0.0350 memory: 18108 grad_norm: 5.5277 loss: 9.2933 top1_acc_0: 0.0625 top5_acc_0: 0.3125 loss_cls_0: 4.6749 top1_acc_1: 0.1059 top5_acc_1: 0.2706 loss_cls_1: 4.6184 2023/01/31 09:17:36 - mmengine - INFO - Epoch(train) [2][ 60/1879] lr: 1.2730e-02 eta: 2 days, 18:48:16 time: 0.4650 data_time: 0.0370 memory: 18108 grad_norm: 5.6993 loss: 9.2559 top1_acc_0: 0.0000 top5_acc_0: 0.0625 loss_cls_0: 4.5981 top1_acc_1: 0.1882 top5_acc_1: 0.3529 loss_cls_1: 4.6578 2023/01/31 09:17:46 - mmengine - INFO - Epoch(train) [2][ 80/1879] lr: 1.2758e-02 eta: 2 days, 18:47:53 time: 0.4994 data_time: 0.0453 memory: 18108 grad_norm: 5.5986 loss: 9.1836 top1_acc_0: 0.1250 top5_acc_0: 0.1875 loss_cls_0: 4.5920 top1_acc_1: 0.1765 top5_acc_1: 0.3647 loss_cls_1: 4.5916 2023/01/31 09:17:55 - mmengine - INFO - Epoch(train) [2][ 100/1879] lr: 1.2787e-02 eta: 2 days, 18:44:47 time: 0.4656 data_time: 0.0382 memory: 18108 grad_norm: 5.6448 loss: 9.1772 top1_acc_0: 0.0000 top5_acc_0: 0.1250 loss_cls_0: 4.6275 top1_acc_1: 0.1529 top5_acc_1: 0.3059 loss_cls_1: 4.5497 2023/01/31 09:18:04 - mmengine - INFO - Epoch(train) [2][ 120/1879] lr: 1.2815e-02 eta: 2 days, 18:41:05 time: 0.4574 data_time: 0.0334 memory: 18108 grad_norm: 5.6522 loss: 9.3387 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 4.7055 top1_acc_1: 0.1529 top5_acc_1: 0.3059 loss_cls_1: 4.6332 2023/01/31 09:18:05 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 09:18:14 - mmengine - INFO - Epoch(train) [2][ 140/1879] lr: 1.2843e-02 eta: 2 days, 18:39:26 time: 0.4822 data_time: 0.0353 memory: 18108 grad_norm: 5.7445 loss: 9.0373 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 4.3892 top1_acc_1: 0.1412 top5_acc_1: 0.3647 loss_cls_1: 4.6482 2023/01/31 09:18:24 - mmengine - INFO - Epoch(train) [2][ 160/1879] lr: 1.2871e-02 eta: 2 days, 18:38:15 time: 0.4882 data_time: 0.0396 memory: 18108 grad_norm: 5.4954 loss: 9.1586 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 4.6267 top1_acc_1: 0.1765 top5_acc_1: 0.3647 loss_cls_1: 4.5319 2023/01/31 09:18:33 - mmengine - INFO - Epoch(train) [2][ 180/1879] lr: 1.2899e-02 eta: 2 days, 18:35:32 time: 0.4680 data_time: 0.0368 memory: 18108 grad_norm: 5.6655 loss: 9.1680 top1_acc_0: 0.0625 top5_acc_0: 0.2500 loss_cls_0: 4.6204 top1_acc_1: 0.2118 top5_acc_1: 0.3647 loss_cls_1: 4.5476 2023/01/31 09:18:42 - mmengine - INFO - Epoch(train) [2][ 200/1879] lr: 1.2927e-02 eta: 2 days, 18:32:22 time: 0.4614 data_time: 0.0340 memory: 18108 grad_norm: 5.5778 loss: 9.0440 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 4.4484 top1_acc_1: 0.1412 top5_acc_1: 0.3882 loss_cls_1: 4.5956 2023/01/31 09:18:52 - mmengine - INFO - Epoch(train) [2][ 220/1879] lr: 1.2956e-02 eta: 2 days, 18:32:03 time: 0.4982 data_time: 0.0358 memory: 18108 grad_norm: 5.6387 loss: 9.0066 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 4.5321 top1_acc_1: 0.1412 top5_acc_1: 0.3529 loss_cls_1: 4.4745 2023/01/31 09:19:02 - mmengine - INFO - Epoch(train) [2][ 240/1879] lr: 1.2984e-02 eta: 2 days, 18:30:01 time: 0.4754 data_time: 0.0331 memory: 18108 grad_norm: 5.5149 loss: 9.0817 top1_acc_0: 0.1250 top5_acc_0: 0.1875 loss_cls_0: 4.6776 top1_acc_1: 0.1294 top5_acc_1: 0.3412 loss_cls_1: 4.4041 2023/01/31 09:19:11 - mmengine - INFO - Epoch(train) [2][ 260/1879] lr: 1.3012e-02 eta: 2 days, 18:27:47 time: 0.4722 data_time: 0.0353 memory: 18108 grad_norm: 5.5048 loss: 9.0024 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 4.5287 top1_acc_1: 0.1294 top5_acc_1: 0.3294 loss_cls_1: 4.4737 2023/01/31 09:19:21 - mmengine - INFO - Epoch(train) [2][ 280/1879] lr: 1.3040e-02 eta: 2 days, 18:26:49 time: 0.4887 data_time: 0.0322 memory: 18108 grad_norm: 5.5553 loss: 8.9042 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 4.4072 top1_acc_1: 0.0588 top5_acc_1: 0.2824 loss_cls_1: 4.4971 2023/01/31 09:19:31 - mmengine - INFO - Epoch(train) [2][ 300/1879] lr: 1.3068e-02 eta: 2 days, 18:26:23 time: 0.4961 data_time: 0.0425 memory: 18108 grad_norm: 5.5870 loss: 9.0777 top1_acc_0: 0.0000 top5_acc_0: 0.1250 loss_cls_0: 4.5666 top1_acc_1: 0.1647 top5_acc_1: 0.3176 loss_cls_1: 4.5111 2023/01/31 09:19:41 - mmengine - INFO - Epoch(train) [2][ 320/1879] lr: 1.3097e-02 eta: 2 days, 18:24:42 time: 0.4784 data_time: 0.0329 memory: 18108 grad_norm: 5.5590 loss: 8.9003 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 4.4557 top1_acc_1: 0.2000 top5_acc_1: 0.4118 loss_cls_1: 4.4446 2023/01/31 09:19:50 - mmengine - INFO - Epoch(train) [2][ 340/1879] lr: 1.3125e-02 eta: 2 days, 18:23:43 time: 0.4880 data_time: 0.0342 memory: 18108 grad_norm: 5.6604 loss: 9.0149 top1_acc_0: 0.1875 top5_acc_0: 0.2500 loss_cls_0: 4.5735 top1_acc_1: 0.1647 top5_acc_1: 0.3294 loss_cls_1: 4.4414 2023/01/31 09:20:00 - mmengine - INFO - Epoch(train) [2][ 360/1879] lr: 1.3153e-02 eta: 2 days, 18:23:10 time: 0.4937 data_time: 0.0319 memory: 18108 grad_norm: 5.6124 loss: 9.0757 top1_acc_0: 0.0625 top5_acc_0: 0.4375 loss_cls_0: 4.5830 top1_acc_1: 0.1765 top5_acc_1: 0.2824 loss_cls_1: 4.4927 2023/01/31 09:20:10 - mmengine - INFO - Epoch(train) [2][ 380/1879] lr: 1.3181e-02 eta: 2 days, 18:23:26 time: 0.5055 data_time: 0.0342 memory: 18108 grad_norm: 5.6884 loss: 8.9362 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 4.5007 top1_acc_1: 0.1529 top5_acc_1: 0.3412 loss_cls_1: 4.4355 2023/01/31 09:20:20 - mmengine - INFO - Epoch(train) [2][ 400/1879] lr: 1.3209e-02 eta: 2 days, 18:22:39 time: 0.4902 data_time: 0.0303 memory: 18108 grad_norm: 5.5114 loss: 8.8003 top1_acc_0: 0.0625 top5_acc_0: 0.1875 loss_cls_0: 4.3691 top1_acc_1: 0.1529 top5_acc_1: 0.3765 loss_cls_1: 4.4312 2023/01/31 09:20:30 - mmengine - INFO - Epoch(train) [2][ 420/1879] lr: 1.3237e-02 eta: 2 days, 18:23:18 time: 0.5110 data_time: 0.0323 memory: 18108 grad_norm: 5.6676 loss: 8.9374 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 4.5253 top1_acc_1: 0.1765 top5_acc_1: 0.3176 loss_cls_1: 4.4121 2023/01/31 09:20:40 - mmengine - INFO - Epoch(train) [2][ 440/1879] lr: 1.3266e-02 eta: 2 days, 18:23:22 time: 0.5026 data_time: 0.0319 memory: 18108 grad_norm: 5.5064 loss: 8.8031 top1_acc_0: 0.0625 top5_acc_0: 0.4375 loss_cls_0: 4.4165 top1_acc_1: 0.1882 top5_acc_1: 0.4000 loss_cls_1: 4.3866 2023/01/31 09:20:50 - mmengine - INFO - Epoch(train) [2][ 460/1879] lr: 1.3294e-02 eta: 2 days, 18:22:51 time: 0.4942 data_time: 0.0328 memory: 18108 grad_norm: 5.5253 loss: 8.8814 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 4.4500 top1_acc_1: 0.1647 top5_acc_1: 0.4118 loss_cls_1: 4.4315 2023/01/31 09:21:00 - mmengine - INFO - Epoch(train) [2][ 480/1879] lr: 1.3322e-02 eta: 2 days, 18:22:47 time: 0.5006 data_time: 0.0313 memory: 18108 grad_norm: 5.5781 loss: 8.8383 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 4.4587 top1_acc_1: 0.2353 top5_acc_1: 0.4118 loss_cls_1: 4.3796 2023/01/31 09:21:11 - mmengine - INFO - Epoch(train) [2][ 500/1879] lr: 1.3350e-02 eta: 2 days, 18:23:14 time: 0.5084 data_time: 0.0337 memory: 18108 grad_norm: 5.5857 loss: 8.8472 top1_acc_0: 0.0625 top5_acc_0: 0.2500 loss_cls_0: 4.3976 top1_acc_1: 0.1412 top5_acc_1: 0.3294 loss_cls_1: 4.4497 2023/01/31 09:21:20 - mmengine - INFO - Epoch(train) [2][ 520/1879] lr: 1.3378e-02 eta: 2 days, 18:22:42 time: 0.4939 data_time: 0.0313 memory: 18108 grad_norm: 5.6174 loss: 9.1235 top1_acc_0: 0.0000 top5_acc_0: 0.4375 loss_cls_0: 4.7119 top1_acc_1: 0.1765 top5_acc_1: 0.4235 loss_cls_1: 4.4116 2023/01/31 09:21:31 - mmengine - INFO - Epoch(train) [2][ 540/1879] lr: 1.3406e-02 eta: 2 days, 18:23:07 time: 0.5080 data_time: 0.0400 memory: 18108 grad_norm: 5.6057 loss: 8.6756 top1_acc_0: 0.0000 top5_acc_0: 0.2500 loss_cls_0: 4.3548 top1_acc_1: 0.1059 top5_acc_1: 0.2824 loss_cls_1: 4.3208 2023/01/31 09:21:41 - mmengine - INFO - Epoch(train) [2][ 560/1879] lr: 1.3435e-02 eta: 2 days, 18:23:40 time: 0.5104 data_time: 0.0318 memory: 18108 grad_norm: 5.6028 loss: 8.7583 top1_acc_0: 0.0625 top5_acc_0: 0.3125 loss_cls_0: 4.4201 top1_acc_1: 0.2588 top5_acc_1: 0.4706 loss_cls_1: 4.3382 2023/01/31 09:21:51 - mmengine - INFO - Epoch(train) [2][ 580/1879] lr: 1.3463e-02 eta: 2 days, 18:22:45 time: 0.4879 data_time: 0.0337 memory: 18108 grad_norm: 5.5089 loss: 8.8057 top1_acc_0: 0.1875 top5_acc_0: 0.2500 loss_cls_0: 4.4295 top1_acc_1: 0.1529 top5_acc_1: 0.4118 loss_cls_1: 4.3762 2023/01/31 09:22:01 - mmengine - INFO - Epoch(train) [2][ 600/1879] lr: 1.3491e-02 eta: 2 days, 18:22:39 time: 0.5003 data_time: 0.0319 memory: 18108 grad_norm: 5.5670 loss: 8.7672 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 4.4888 top1_acc_1: 0.1765 top5_acc_1: 0.3412 loss_cls_1: 4.2784 2023/01/31 09:22:11 - mmengine - INFO - Epoch(train) [2][ 620/1879] lr: 1.3519e-02 eta: 2 days, 18:22:51 time: 0.5053 data_time: 0.0367 memory: 18108 grad_norm: 5.5185 loss: 8.7976 top1_acc_0: 0.0000 top5_acc_0: 0.1875 loss_cls_0: 4.3942 top1_acc_1: 0.2000 top5_acc_1: 0.3647 loss_cls_1: 4.4035 2023/01/31 09:22:21 - mmengine - INFO - Epoch(train) [2][ 640/1879] lr: 1.3547e-02 eta: 2 days, 18:23:14 time: 0.5080 data_time: 0.0330 memory: 18108 grad_norm: 5.6623 loss: 8.5611 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 4.2515 top1_acc_1: 0.1765 top5_acc_1: 0.3882 loss_cls_1: 4.3097 2023/01/31 09:22:31 - mmengine - INFO - Epoch(train) [2][ 660/1879] lr: 1.3575e-02 eta: 2 days, 18:22:24 time: 0.4887 data_time: 0.0329 memory: 18108 grad_norm: 5.6097 loss: 8.7918 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 4.5044 top1_acc_1: 0.2353 top5_acc_1: 0.3647 loss_cls_1: 4.2874 2023/01/31 09:22:41 - mmengine - INFO - Epoch(train) [2][ 680/1879] lr: 1.3604e-02 eta: 2 days, 18:22:34 time: 0.5049 data_time: 0.0395 memory: 18108 grad_norm: 5.4831 loss: 8.6096 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 4.3445 top1_acc_1: 0.1412 top5_acc_1: 0.4235 loss_cls_1: 4.2652 2023/01/31 09:22:51 - mmengine - INFO - Epoch(train) [2][ 700/1879] lr: 1.3632e-02 eta: 2 days, 18:23:14 time: 0.5128 data_time: 0.0341 memory: 18108 grad_norm: 5.5349 loss: 8.7090 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 4.4085 top1_acc_1: 0.1647 top5_acc_1: 0.3882 loss_cls_1: 4.3006 2023/01/31 09:23:01 - mmengine - INFO - Epoch(train) [2][ 720/1879] lr: 1.3660e-02 eta: 2 days, 18:22:00 time: 0.4822 data_time: 0.0320 memory: 18108 grad_norm: 5.5100 loss: 8.5784 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 4.3487 top1_acc_1: 0.1765 top5_acc_1: 0.3882 loss_cls_1: 4.2297 2023/01/31 09:23:11 - mmengine - INFO - Epoch(train) [2][ 740/1879] lr: 1.3688e-02 eta: 2 days, 18:21:46 time: 0.4982 data_time: 0.0331 memory: 18108 grad_norm: 5.5361 loss: 8.5993 top1_acc_0: 0.0000 top5_acc_0: 0.1875 loss_cls_0: 4.3707 top1_acc_1: 0.1765 top5_acc_1: 0.3882 loss_cls_1: 4.2287 2023/01/31 09:23:21 - mmengine - INFO - Epoch(train) [2][ 760/1879] lr: 1.3716e-02 eta: 2 days, 18:22:51 time: 0.5202 data_time: 0.0392 memory: 18108 grad_norm: 5.6343 loss: 8.7173 top1_acc_0: 0.1875 top5_acc_0: 0.1875 loss_cls_0: 4.5394 top1_acc_1: 0.2118 top5_acc_1: 0.4706 loss_cls_1: 4.1779 2023/01/31 09:23:31 - mmengine - INFO - Epoch(train) [2][ 780/1879] lr: 1.3745e-02 eta: 2 days, 18:22:02 time: 0.4886 data_time: 0.0327 memory: 18108 grad_norm: 5.5129 loss: 8.5937 top1_acc_0: 0.0625 top5_acc_0: 0.2500 loss_cls_0: 4.3378 top1_acc_1: 0.2000 top5_acc_1: 0.3412 loss_cls_1: 4.2558 2023/01/31 09:23:40 - mmengine - INFO - Epoch(train) [2][ 800/1879] lr: 1.3773e-02 eta: 2 days, 18:21:12 time: 0.4882 data_time: 0.0306 memory: 18108 grad_norm: 5.5988 loss: 8.4444 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 4.3190 top1_acc_1: 0.2235 top5_acc_1: 0.4941 loss_cls_1: 4.1254 2023/01/31 09:23:51 - mmengine - INFO - Epoch(train) [2][ 820/1879] lr: 1.3801e-02 eta: 2 days, 18:21:30 time: 0.5074 data_time: 0.0323 memory: 18108 grad_norm: 5.5840 loss: 8.5574 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 4.3883 top1_acc_1: 0.2471 top5_acc_1: 0.4588 loss_cls_1: 4.1691 2023/01/31 09:24:01 - mmengine - INFO - Epoch(train) [2][ 840/1879] lr: 1.3829e-02 eta: 2 days, 18:21:13 time: 0.4975 data_time: 0.0313 memory: 18108 grad_norm: 5.4911 loss: 8.5424 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 4.2937 top1_acc_1: 0.2118 top5_acc_1: 0.3529 loss_cls_1: 4.2487 2023/01/31 09:24:10 - mmengine - INFO - Epoch(train) [2][ 860/1879] lr: 1.3857e-02 eta: 2 days, 18:20:36 time: 0.4915 data_time: 0.0329 memory: 18108 grad_norm: 5.6216 loss: 8.5137 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 4.3775 top1_acc_1: 0.2235 top5_acc_1: 0.4824 loss_cls_1: 4.1362 2023/01/31 09:24:21 - mmengine - INFO - Epoch(train) [2][ 880/1879] lr: 1.3885e-02 eta: 2 days, 18:21:00 time: 0.5091 data_time: 0.0323 memory: 18108 grad_norm: 5.5473 loss: 8.4547 top1_acc_0: 0.1875 top5_acc_0: 0.2500 loss_cls_0: 4.3822 top1_acc_1: 0.2471 top5_acc_1: 0.4353 loss_cls_1: 4.0725 2023/01/31 09:24:31 - mmengine - INFO - Epoch(train) [2][ 900/1879] lr: 1.3914e-02 eta: 2 days, 18:21:08 time: 0.5047 data_time: 0.0399 memory: 18108 grad_norm: 5.5467 loss: 8.5801 top1_acc_0: 0.0000 top5_acc_0: 0.2500 loss_cls_0: 4.3059 top1_acc_1: 0.1882 top5_acc_1: 0.3765 loss_cls_1: 4.2741 2023/01/31 09:24:41 - mmengine - INFO - Epoch(train) [2][ 920/1879] lr: 1.3942e-02 eta: 2 days, 18:21:16 time: 0.5047 data_time: 0.0296 memory: 18108 grad_norm: 5.5361 loss: 8.4880 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 4.3876 top1_acc_1: 0.2000 top5_acc_1: 0.3529 loss_cls_1: 4.1004 2023/01/31 09:24:51 - mmengine - INFO - Epoch(train) [2][ 940/1879] lr: 1.3970e-02 eta: 2 days, 18:21:00 time: 0.4977 data_time: 0.0321 memory: 18108 grad_norm: 5.4549 loss: 8.5533 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 4.4013 top1_acc_1: 0.1882 top5_acc_1: 0.4235 loss_cls_1: 4.1520 2023/01/31 09:25:01 - mmengine - INFO - Epoch(train) [2][ 960/1879] lr: 1.3998e-02 eta: 2 days, 18:21:42 time: 0.5150 data_time: 0.0304 memory: 18108 grad_norm: 5.5046 loss: 8.5345 top1_acc_0: 0.1250 top5_acc_0: 0.1875 loss_cls_0: 4.3811 top1_acc_1: 0.2353 top5_acc_1: 0.4118 loss_cls_1: 4.1534 2023/01/31 09:25:11 - mmengine - INFO - Epoch(train) [2][ 980/1879] lr: 1.4026e-02 eta: 2 days, 18:21:55 time: 0.5066 data_time: 0.0398 memory: 18108 grad_norm: 5.5646 loss: 8.2303 top1_acc_0: 0.1875 top5_acc_0: 0.2500 loss_cls_0: 4.1322 top1_acc_1: 0.2471 top5_acc_1: 0.4000 loss_cls_1: 4.0981 2023/01/31 09:25:21 - mmengine - INFO - Epoch(train) [2][1000/1879] lr: 1.4054e-02 eta: 2 days, 18:21:46 time: 0.5000 data_time: 0.0319 memory: 18108 grad_norm: 5.5766 loss: 8.3929 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 4.3112 top1_acc_1: 0.2471 top5_acc_1: 0.4353 loss_cls_1: 4.0818 2023/01/31 09:25:32 - mmengine - INFO - Epoch(train) [2][1020/1879] lr: 1.4083e-02 eta: 2 days, 18:22:56 time: 0.5239 data_time: 0.0357 memory: 18108 grad_norm: 5.4967 loss: 8.5646 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 4.4262 top1_acc_1: 0.2235 top5_acc_1: 0.4353 loss_cls_1: 4.1383 2023/01/31 09:25:42 - mmengine - INFO - Epoch(train) [2][1040/1879] lr: 1.4111e-02 eta: 2 days, 18:22:27 time: 0.4941 data_time: 0.0300 memory: 18108 grad_norm: 5.5482 loss: 8.2926 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 4.1676 top1_acc_1: 0.1882 top5_acc_1: 0.4000 loss_cls_1: 4.1249 2023/01/31 09:25:52 - mmengine - INFO - Epoch(train) [2][1060/1879] lr: 1.4139e-02 eta: 2 days, 18:22:36 time: 0.5055 data_time: 0.0342 memory: 18108 grad_norm: 5.4080 loss: 8.4784 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 4.3898 top1_acc_1: 0.1529 top5_acc_1: 0.3765 loss_cls_1: 4.0886 2023/01/31 09:26:02 - mmengine - INFO - Epoch(train) [2][1080/1879] lr: 1.4167e-02 eta: 2 days, 18:22:51 time: 0.5076 data_time: 0.0311 memory: 18108 grad_norm: 5.5234 loss: 8.4608 top1_acc_0: 0.0625 top5_acc_0: 0.1250 loss_cls_0: 4.3728 top1_acc_1: 0.2000 top5_acc_1: 0.3529 loss_cls_1: 4.0880 2023/01/31 09:26:12 - mmengine - INFO - Epoch(train) [2][1100/1879] lr: 1.4195e-02 eta: 2 days, 18:22:59 time: 0.5055 data_time: 0.0330 memory: 18108 grad_norm: 5.4378 loss: 8.3065 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 4.2907 top1_acc_1: 0.2824 top5_acc_1: 0.5647 loss_cls_1: 4.0158 2023/01/31 09:26:22 - mmengine - INFO - Epoch(train) [2][1120/1879] lr: 1.4224e-02 eta: 2 days, 18:23:03 time: 0.5041 data_time: 0.0313 memory: 18108 grad_norm: 5.6174 loss: 8.2443 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 4.2388 top1_acc_1: 0.2118 top5_acc_1: 0.4471 loss_cls_1: 4.0055 2023/01/31 09:26:22 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 09:26:32 - mmengine - INFO - Epoch(train) [2][1140/1879] lr: 1.4252e-02 eta: 2 days, 18:22:56 time: 0.5011 data_time: 0.0331 memory: 18108 grad_norm: 5.5141 loss: 8.3164 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 4.2559 top1_acc_1: 0.3059 top5_acc_1: 0.4706 loss_cls_1: 4.0605 2023/01/31 09:26:42 - mmengine - INFO - Epoch(train) [2][1160/1879] lr: 1.4280e-02 eta: 2 days, 18:23:39 time: 0.5167 data_time: 0.0313 memory: 18108 grad_norm: 5.4672 loss: 8.3678 top1_acc_0: 0.0625 top5_acc_0: 0.2500 loss_cls_0: 4.2917 top1_acc_1: 0.1882 top5_acc_1: 0.4824 loss_cls_1: 4.0761 2023/01/31 09:26:52 - mmengine - INFO - Epoch(train) [2][1180/1879] lr: 1.4308e-02 eta: 2 days, 18:22:43 time: 0.4855 data_time: 0.0331 memory: 18108 grad_norm: 5.4967 loss: 8.4761 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 4.4711 top1_acc_1: 0.2824 top5_acc_1: 0.4353 loss_cls_1: 4.0049 2023/01/31 09:27:02 - mmengine - INFO - Epoch(train) [2][1200/1879] lr: 1.4336e-02 eta: 2 days, 18:22:20 time: 0.4957 data_time: 0.0309 memory: 18108 grad_norm: 5.4983 loss: 8.5352 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 4.4941 top1_acc_1: 0.2235 top5_acc_1: 0.4941 loss_cls_1: 4.0412 2023/01/31 09:27:12 - mmengine - INFO - Epoch(train) [2][1220/1879] lr: 1.4364e-02 eta: 2 days, 18:22:40 time: 0.5095 data_time: 0.0328 memory: 18108 grad_norm: 5.5085 loss: 8.3305 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 4.3370 top1_acc_1: 0.2706 top5_acc_1: 0.5059 loss_cls_1: 3.9936 2023/01/31 09:27:22 - mmengine - INFO - Epoch(train) [2][1240/1879] lr: 1.4393e-02 eta: 2 days, 18:22:01 time: 0.4905 data_time: 0.0321 memory: 18108 grad_norm: 5.5381 loss: 8.3420 top1_acc_0: 0.0000 top5_acc_0: 0.3125 loss_cls_0: 4.2646 top1_acc_1: 0.1882 top5_acc_1: 0.5176 loss_cls_1: 4.0774 2023/01/31 09:27:32 - mmengine - INFO - Epoch(train) [2][1260/1879] lr: 1.4421e-02 eta: 2 days, 18:21:20 time: 0.4899 data_time: 0.0326 memory: 18108 grad_norm: 5.4807 loss: 8.2803 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 4.3063 top1_acc_1: 0.1647 top5_acc_1: 0.3529 loss_cls_1: 3.9740 2023/01/31 09:27:42 - mmengine - INFO - Epoch(train) [2][1280/1879] lr: 1.4449e-02 eta: 2 days, 18:20:57 time: 0.4957 data_time: 0.0391 memory: 18108 grad_norm: 5.5111 loss: 8.1695 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 4.1789 top1_acc_1: 0.2706 top5_acc_1: 0.4118 loss_cls_1: 3.9906 2023/01/31 09:27:52 - mmengine - INFO - Epoch(train) [2][1300/1879] lr: 1.4477e-02 eta: 2 days, 18:20:41 time: 0.4978 data_time: 0.0316 memory: 18108 grad_norm: 5.5124 loss: 8.1538 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 4.1599 top1_acc_1: 0.2824 top5_acc_1: 0.4941 loss_cls_1: 3.9940 2023/01/31 09:28:01 - mmengine - INFO - Epoch(train) [2][1320/1879] lr: 1.4505e-02 eta: 2 days, 18:19:42 time: 0.4835 data_time: 0.0305 memory: 18108 grad_norm: 5.5079 loss: 8.2660 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 4.2808 top1_acc_1: 0.2471 top5_acc_1: 0.4706 loss_cls_1: 3.9852 2023/01/31 09:28:11 - mmengine - INFO - Epoch(train) [2][1340/1879] lr: 1.4533e-02 eta: 2 days, 18:19:06 time: 0.4910 data_time: 0.0339 memory: 18108 grad_norm: 5.4525 loss: 8.2764 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 4.2827 top1_acc_1: 0.2118 top5_acc_1: 0.3882 loss_cls_1: 3.9937 2023/01/31 09:28:21 - mmengine - INFO - Epoch(train) [2][1360/1879] lr: 1.4562e-02 eta: 2 days, 18:18:52 time: 0.4980 data_time: 0.0370 memory: 18108 grad_norm: 5.4193 loss: 8.0988 top1_acc_0: 0.0625 top5_acc_0: 0.6250 loss_cls_0: 4.1257 top1_acc_1: 0.2588 top5_acc_1: 0.4471 loss_cls_1: 3.9730 2023/01/31 09:28:31 - mmengine - INFO - Epoch(train) [2][1380/1879] lr: 1.4590e-02 eta: 2 days, 18:18:26 time: 0.4944 data_time: 0.0336 memory: 18108 grad_norm: 5.5005 loss: 8.2034 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 4.1763 top1_acc_1: 0.1765 top5_acc_1: 0.3765 loss_cls_1: 4.0271 2023/01/31 09:28:41 - mmengine - INFO - Epoch(train) [2][1400/1879] lr: 1.4618e-02 eta: 2 days, 18:17:47 time: 0.4897 data_time: 0.0306 memory: 18108 grad_norm: 5.5257 loss: 8.2314 top1_acc_0: 0.0625 top5_acc_0: 0.1250 loss_cls_0: 4.2586 top1_acc_1: 0.2706 top5_acc_1: 0.5294 loss_cls_1: 3.9729 2023/01/31 09:28:51 - mmengine - INFO - Epoch(train) [2][1420/1879] lr: 1.4646e-02 eta: 2 days, 18:17:16 time: 0.4920 data_time: 0.0404 memory: 18108 grad_norm: 5.4392 loss: 8.2588 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 4.2951 top1_acc_1: 0.2588 top5_acc_1: 0.4941 loss_cls_1: 3.9637 2023/01/31 09:29:01 - mmengine - INFO - Epoch(train) [2][1440/1879] lr: 1.4674e-02 eta: 2 days, 18:17:09 time: 0.5006 data_time: 0.0314 memory: 18108 grad_norm: 5.4291 loss: 8.2758 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 4.3483 top1_acc_1: 0.2353 top5_acc_1: 0.4824 loss_cls_1: 3.9275 2023/01/31 09:29:10 - mmengine - INFO - Epoch(train) [2][1460/1879] lr: 1.4703e-02 eta: 2 days, 18:16:12 time: 0.4832 data_time: 0.0328 memory: 18108 grad_norm: 5.4915 loss: 8.0235 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 4.1425 top1_acc_1: 0.2471 top5_acc_1: 0.4471 loss_cls_1: 3.8810 2023/01/31 09:29:20 - mmengine - INFO - Epoch(train) [2][1480/1879] lr: 1.4731e-02 eta: 2 days, 18:15:53 time: 0.4963 data_time: 0.0310 memory: 18108 grad_norm: 5.4533 loss: 8.0946 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 4.1767 top1_acc_1: 0.2353 top5_acc_1: 0.4706 loss_cls_1: 3.9179 2023/01/31 09:29:30 - mmengine - INFO - Epoch(train) [2][1500/1879] lr: 1.4759e-02 eta: 2 days, 18:15:49 time: 0.5014 data_time: 0.0378 memory: 18108 grad_norm: 5.4608 loss: 8.1659 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 4.2305 top1_acc_1: 0.1647 top5_acc_1: 0.4235 loss_cls_1: 3.9354 2023/01/31 09:29:40 - mmengine - INFO - Epoch(train) [2][1520/1879] lr: 1.4787e-02 eta: 2 days, 18:15:30 time: 0.4964 data_time: 0.0312 memory: 18108 grad_norm: 5.4287 loss: 8.2116 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 4.3216 top1_acc_1: 0.3059 top5_acc_1: 0.4706 loss_cls_1: 3.8900 2023/01/31 09:29:50 - mmengine - INFO - Epoch(train) [2][1540/1879] lr: 1.4815e-02 eta: 2 days, 18:14:49 time: 0.4882 data_time: 0.0327 memory: 18108 grad_norm: 5.4925 loss: 7.9132 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 4.0509 top1_acc_1: 0.2471 top5_acc_1: 0.4824 loss_cls_1: 3.8623 2023/01/31 09:30:00 - mmengine - INFO - Epoch(train) [2][1560/1879] lr: 1.4843e-02 eta: 2 days, 18:14:19 time: 0.4921 data_time: 0.0324 memory: 18108 grad_norm: 5.4370 loss: 8.1675 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 4.2590 top1_acc_1: 0.2353 top5_acc_1: 0.4471 loss_cls_1: 3.9085 2023/01/31 09:30:10 - mmengine - INFO - Epoch(train) [2][1580/1879] lr: 1.4872e-02 eta: 2 days, 18:14:08 time: 0.4992 data_time: 0.0434 memory: 18108 grad_norm: 5.3776 loss: 7.9376 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 4.0449 top1_acc_1: 0.3176 top5_acc_1: 0.5294 loss_cls_1: 3.8926 2023/01/31 09:30:20 - mmengine - INFO - Epoch(train) [2][1600/1879] lr: 1.4900e-02 eta: 2 days, 18:13:31 time: 0.4893 data_time: 0.0297 memory: 18108 grad_norm: 5.4454 loss: 8.1548 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 4.2962 top1_acc_1: 0.3176 top5_acc_1: 0.5647 loss_cls_1: 3.8587 2023/01/31 09:30:29 - mmengine - INFO - Epoch(train) [2][1620/1879] lr: 1.4928e-02 eta: 2 days, 18:12:55 time: 0.4897 data_time: 0.0334 memory: 18108 grad_norm: 5.4256 loss: 7.9787 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 4.0848 top1_acc_1: 0.2706 top5_acc_1: 0.4706 loss_cls_1: 3.8940 2023/01/31 09:30:39 - mmengine - INFO - Epoch(train) [2][1640/1879] lr: 1.4956e-02 eta: 2 days, 18:12:33 time: 0.4950 data_time: 0.0303 memory: 18108 grad_norm: 5.3555 loss: 8.3499 top1_acc_0: 0.0625 top5_acc_0: 0.1875 loss_cls_0: 4.4303 top1_acc_1: 0.2235 top5_acc_1: 0.4824 loss_cls_1: 3.9195 2023/01/31 09:30:49 - mmengine - INFO - Epoch(train) [2][1660/1879] lr: 1.4984e-02 eta: 2 days, 18:12:14 time: 0.4957 data_time: 0.0322 memory: 18108 grad_norm: 5.3827 loss: 8.0630 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 4.2130 top1_acc_1: 0.2824 top5_acc_1: 0.4706 loss_cls_1: 3.8499 2023/01/31 09:30:59 - mmengine - INFO - Epoch(train) [2][1680/1879] lr: 1.5012e-02 eta: 2 days, 18:12:24 time: 0.5065 data_time: 0.0319 memory: 18108 grad_norm: 5.3984 loss: 8.1173 top1_acc_0: 0.0625 top5_acc_0: 0.3125 loss_cls_0: 4.1999 top1_acc_1: 0.2118 top5_acc_1: 0.4235 loss_cls_1: 3.9173 2023/01/31 09:31:09 - mmengine - INFO - Epoch(train) [2][1700/1879] lr: 1.5041e-02 eta: 2 days, 18:12:10 time: 0.4977 data_time: 0.0345 memory: 18108 grad_norm: 5.4578 loss: 7.9939 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 4.0792 top1_acc_1: 0.1647 top5_acc_1: 0.3412 loss_cls_1: 3.9146 2023/01/31 09:31:19 - mmengine - INFO - Epoch(train) [2][1720/1879] lr: 1.5069e-02 eta: 2 days, 18:11:48 time: 0.4948 data_time: 0.0294 memory: 18108 grad_norm: 5.3807 loss: 7.9329 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 4.0447 top1_acc_1: 0.2941 top5_acc_1: 0.4000 loss_cls_1: 3.8882 2023/01/31 09:31:29 - mmengine - INFO - Epoch(train) [2][1740/1879] lr: 1.5097e-02 eta: 2 days, 18:11:36 time: 0.4984 data_time: 0.0382 memory: 18108 grad_norm: 5.4067 loss: 8.0773 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 4.2095 top1_acc_1: 0.2471 top5_acc_1: 0.4353 loss_cls_1: 3.8678 2023/01/31 09:31:39 - mmengine - INFO - Epoch(train) [2][1760/1879] lr: 1.5125e-02 eta: 2 days, 18:11:20 time: 0.4967 data_time: 0.0307 memory: 18108 grad_norm: 5.4348 loss: 8.1871 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 4.3424 top1_acc_1: 0.2471 top5_acc_1: 0.4824 loss_cls_1: 3.8447 2023/01/31 09:31:49 - mmengine - INFO - Epoch(train) [2][1780/1879] lr: 1.5153e-02 eta: 2 days, 18:11:06 time: 0.4975 data_time: 0.0348 memory: 18108 grad_norm: 5.3727 loss: 7.9741 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 4.1949 top1_acc_1: 0.2471 top5_acc_1: 0.4941 loss_cls_1: 3.7792 2023/01/31 09:31:59 - mmengine - INFO - Epoch(train) [2][1800/1879] lr: 1.5181e-02 eta: 2 days, 18:10:41 time: 0.4935 data_time: 0.0318 memory: 18108 grad_norm: 5.3906 loss: 7.9311 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 4.0753 top1_acc_1: 0.2706 top5_acc_1: 0.4706 loss_cls_1: 3.8558 2023/01/31 09:32:09 - mmengine - INFO - Epoch(train) [2][1820/1879] lr: 1.5210e-02 eta: 2 days, 18:10:33 time: 0.4998 data_time: 0.0336 memory: 18108 grad_norm: 5.3446 loss: 7.9421 top1_acc_0: 0.0000 top5_acc_0: 0.1250 loss_cls_0: 4.1473 top1_acc_1: 0.2941 top5_acc_1: 0.5294 loss_cls_1: 3.7949 2023/01/31 09:32:19 - mmengine - INFO - Epoch(train) [2][1840/1879] lr: 1.5238e-02 eta: 2 days, 18:09:51 time: 0.4869 data_time: 0.0315 memory: 18108 grad_norm: 5.3101 loss: 7.7781 top1_acc_0: 0.0625 top5_acc_0: 0.1875 loss_cls_0: 4.0174 top1_acc_1: 0.1412 top5_acc_1: 0.4471 loss_cls_1: 3.7607 2023/01/31 09:32:28 - mmengine - INFO - Epoch(train) [2][1860/1879] lr: 1.5266e-02 eta: 2 days, 18:09:08 time: 0.4861 data_time: 0.0352 memory: 18108 grad_norm: 5.3846 loss: 8.0155 top1_acc_0: 0.0000 top5_acc_0: 0.1875 loss_cls_0: 4.1487 top1_acc_1: 0.2000 top5_acc_1: 0.5176 loss_cls_1: 3.8668 2023/01/31 09:32:37 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 09:32:37 - mmengine - INFO - Epoch(train) [2][1879/1879] lr: 1.5293e-02 eta: 2 days, 18:08:20 time: 0.4819 data_time: 0.0329 memory: 18108 grad_norm: 5.4805 loss: 7.9715 top1_acc_0: 0.2857 top5_acc_0: 0.4286 loss_cls_0: 4.1242 top1_acc_1: 0.2118 top5_acc_1: 0.4706 loss_cls_1: 3.8473 2023/01/31 09:32:52 - mmengine - INFO - Epoch(train) [3][ 20/1879] lr: 1.5321e-02 eta: 2 days, 18:17:11 time: 0.7131 data_time: 0.2528 memory: 18108 grad_norm: 5.3772 loss: 7.9184 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 4.2462 top1_acc_1: 0.3882 top5_acc_1: 0.5647 loss_cls_1: 3.6722 2023/01/31 09:33:02 - mmengine - INFO - Epoch(train) [3][ 40/1879] lr: 1.5349e-02 eta: 2 days, 18:15:44 time: 0.4693 data_time: 0.0329 memory: 18108 grad_norm: 5.2888 loss: 7.7362 top1_acc_0: 0.0625 top5_acc_0: 0.3125 loss_cls_0: 4.0199 top1_acc_1: 0.2235 top5_acc_1: 0.4941 loss_cls_1: 3.7162 2023/01/31 09:33:11 - mmengine - INFO - Epoch(train) [3][ 60/1879] lr: 1.5377e-02 eta: 2 days, 18:14:38 time: 0.4778 data_time: 0.0338 memory: 18108 grad_norm: 5.3658 loss: 7.7993 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 4.0368 top1_acc_1: 0.2706 top5_acc_1: 0.4471 loss_cls_1: 3.7625 2023/01/31 09:33:22 - mmengine - INFO - Epoch(train) [3][ 80/1879] lr: 1.5405e-02 eta: 2 days, 18:14:51 time: 0.5087 data_time: 0.0402 memory: 18108 grad_norm: 5.3619 loss: 7.8812 top1_acc_0: 0.0625 top5_acc_0: 0.1875 loss_cls_0: 4.0169 top1_acc_1: 0.2353 top5_acc_1: 0.5176 loss_cls_1: 3.8643 2023/01/31 09:33:31 - mmengine - INFO - Epoch(train) [3][ 100/1879] lr: 1.5434e-02 eta: 2 days, 18:13:48 time: 0.4785 data_time: 0.0344 memory: 18108 grad_norm: 5.4576 loss: 7.9032 top1_acc_0: 0.0625 top5_acc_0: 0.5625 loss_cls_0: 4.1404 top1_acc_1: 0.2353 top5_acc_1: 0.5882 loss_cls_1: 3.7627 2023/01/31 09:33:41 - mmengine - INFO - Epoch(train) [3][ 120/1879] lr: 1.5462e-02 eta: 2 days, 18:12:26 time: 0.4704 data_time: 0.0329 memory: 18108 grad_norm: 5.2687 loss: 7.8527 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 4.0867 top1_acc_1: 0.2118 top5_acc_1: 0.4235 loss_cls_1: 3.7660 2023/01/31 09:33:50 - mmengine - INFO - Epoch(train) [3][ 140/1879] lr: 1.5490e-02 eta: 2 days, 18:12:04 time: 0.4946 data_time: 0.0337 memory: 18108 grad_norm: 5.3842 loss: 7.9551 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 4.1767 top1_acc_1: 0.2706 top5_acc_1: 0.4941 loss_cls_1: 3.7784 2023/01/31 09:34:00 - mmengine - INFO - Epoch(train) [3][ 160/1879] lr: 1.5518e-02 eta: 2 days, 18:11:38 time: 0.4929 data_time: 0.0394 memory: 18108 grad_norm: 5.2995 loss: 7.9113 top1_acc_0: 0.0625 top5_acc_0: 0.0625 loss_cls_0: 4.1215 top1_acc_1: 0.2471 top5_acc_1: 0.5412 loss_cls_1: 3.7898 2023/01/31 09:34:10 - mmengine - INFO - Epoch(train) [3][ 180/1879] lr: 1.5546e-02 eta: 2 days, 18:10:38 time: 0.4786 data_time: 0.0357 memory: 18108 grad_norm: 5.2954 loss: 7.7653 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 4.0176 top1_acc_1: 0.2706 top5_acc_1: 0.4588 loss_cls_1: 3.7477 2023/01/31 09:34:19 - mmengine - INFO - Epoch(train) [3][ 200/1879] lr: 1.5575e-02 eta: 2 days, 18:09:21 time: 0.4715 data_time: 0.0331 memory: 18108 grad_norm: 5.3484 loss: 8.0540 top1_acc_0: 0.1875 top5_acc_0: 0.2500 loss_cls_0: 4.2440 top1_acc_1: 0.2235 top5_acc_1: 0.5294 loss_cls_1: 3.8100 2023/01/31 09:34:30 - mmengine - INFO - Epoch(train) [3][ 220/1879] lr: 1.5603e-02 eta: 2 days, 18:10:01 time: 0.5204 data_time: 0.0414 memory: 18108 grad_norm: 5.3170 loss: 7.7322 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 4.0097 top1_acc_1: 0.3882 top5_acc_1: 0.5647 loss_cls_1: 3.7225 2023/01/31 09:34:39 - mmengine - INFO - Epoch(train) [3][ 240/1879] lr: 1.5631e-02 eta: 2 days, 18:09:20 time: 0.4861 data_time: 0.0357 memory: 18108 grad_norm: 5.3204 loss: 7.9832 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 4.3396 top1_acc_1: 0.2235 top5_acc_1: 0.5176 loss_cls_1: 3.6436 2023/01/31 09:34:40 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 09:34:49 - mmengine - INFO - Epoch(train) [3][ 260/1879] lr: 1.5659e-02 eta: 2 days, 18:08:31 time: 0.4828 data_time: 0.0353 memory: 18108 grad_norm: 5.3280 loss: 7.7324 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 4.1264 top1_acc_1: 0.3294 top5_acc_1: 0.4588 loss_cls_1: 3.6060 2023/01/31 09:34:59 - mmengine - INFO - Epoch(train) [3][ 280/1879] lr: 1.5687e-02 eta: 2 days, 18:07:40 time: 0.4819 data_time: 0.0370 memory: 18108 grad_norm: 5.3571 loss: 7.6510 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 4.1262 top1_acc_1: 0.1412 top5_acc_1: 0.4588 loss_cls_1: 3.5248 2023/01/31 09:35:09 - mmengine - INFO - Epoch(train) [3][ 300/1879] lr: 1.5715e-02 eta: 2 days, 18:08:11 time: 0.5165 data_time: 0.0411 memory: 18108 grad_norm: 5.3384 loss: 7.6770 top1_acc_0: 0.0625 top5_acc_0: 0.2500 loss_cls_0: 4.0583 top1_acc_1: 0.2706 top5_acc_1: 0.5294 loss_cls_1: 3.6187 2023/01/31 09:35:19 - mmengine - INFO - Epoch(train) [3][ 320/1879] lr: 1.5744e-02 eta: 2 days, 18:07:00 time: 0.4732 data_time: 0.0335 memory: 18108 grad_norm: 5.3773 loss: 7.8443 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 4.1733 top1_acc_1: 0.1765 top5_acc_1: 0.4471 loss_cls_1: 3.6710 2023/01/31 09:35:28 - mmengine - INFO - Epoch(train) [3][ 340/1879] lr: 1.5772e-02 eta: 2 days, 18:06:36 time: 0.4931 data_time: 0.0333 memory: 18108 grad_norm: 5.3546 loss: 7.8773 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 4.2015 top1_acc_1: 0.3059 top5_acc_1: 0.4824 loss_cls_1: 3.6758 2023/01/31 09:35:38 - mmengine - INFO - Epoch(train) [3][ 360/1879] lr: 1.5800e-02 eta: 2 days, 18:06:32 time: 0.5015 data_time: 0.0397 memory: 18108 grad_norm: 5.3300 loss: 7.8961 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 4.2046 top1_acc_1: 0.2353 top5_acc_1: 0.5059 loss_cls_1: 3.6915 2023/01/31 09:35:48 - mmengine - INFO - Epoch(train) [3][ 380/1879] lr: 1.5828e-02 eta: 2 days, 18:05:49 time: 0.4846 data_time: 0.0321 memory: 18108 grad_norm: 5.3317 loss: 7.7220 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 4.0925 top1_acc_1: 0.2000 top5_acc_1: 0.4824 loss_cls_1: 3.6295 2023/01/31 09:35:57 - mmengine - INFO - Epoch(train) [3][ 400/1879] lr: 1.5856e-02 eta: 2 days, 18:04:28 time: 0.4679 data_time: 0.0333 memory: 18108 grad_norm: 5.3087 loss: 7.5051 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.9486 top1_acc_1: 0.2706 top5_acc_1: 0.4824 loss_cls_1: 3.5565 2023/01/31 09:36:07 - mmengine - INFO - Epoch(train) [3][ 420/1879] lr: 1.5884e-02 eta: 2 days, 18:03:56 time: 0.4893 data_time: 0.0332 memory: 18108 grad_norm: 5.3280 loss: 7.6807 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 4.0516 top1_acc_1: 0.2941 top5_acc_1: 0.5059 loss_cls_1: 3.6291 2023/01/31 09:36:17 - mmengine - INFO - Epoch(train) [3][ 440/1879] lr: 1.5913e-02 eta: 2 days, 18:03:22 time: 0.4883 data_time: 0.0385 memory: 18108 grad_norm: 5.2714 loss: 7.8472 top1_acc_0: 0.0000 top5_acc_0: 0.1250 loss_cls_0: 4.1719 top1_acc_1: 0.2000 top5_acc_1: 0.4235 loss_cls_1: 3.6753 2023/01/31 09:36:26 - mmengine - INFO - Epoch(train) [3][ 460/1879] lr: 1.5941e-02 eta: 2 days, 18:02:09 time: 0.4710 data_time: 0.0317 memory: 18108 grad_norm: 5.2901 loss: 7.6962 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 3.9718 top1_acc_1: 0.2118 top5_acc_1: 0.4353 loss_cls_1: 3.7244 2023/01/31 09:36:36 - mmengine - INFO - Epoch(train) [3][ 480/1879] lr: 1.5969e-02 eta: 2 days, 18:00:55 time: 0.4701 data_time: 0.0362 memory: 18108 grad_norm: 5.2859 loss: 7.7228 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 4.0740 top1_acc_1: 0.3059 top5_acc_1: 0.5412 loss_cls_1: 3.6488 2023/01/31 09:36:46 - mmengine - INFO - Epoch(train) [3][ 500/1879] lr: 1.5997e-02 eta: 2 days, 18:01:00 time: 0.5049 data_time: 0.0330 memory: 18108 grad_norm: 5.4143 loss: 7.5867 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 3.9418 top1_acc_1: 0.2235 top5_acc_1: 0.4706 loss_cls_1: 3.6448 2023/01/31 09:36:55 - mmengine - INFO - Epoch(train) [3][ 520/1879] lr: 1.6025e-02 eta: 2 days, 18:00:00 time: 0.4763 data_time: 0.0331 memory: 18108 grad_norm: 5.3621 loss: 7.5721 top1_acc_0: 0.1875 top5_acc_0: 0.1875 loss_cls_0: 3.9635 top1_acc_1: 0.2353 top5_acc_1: 0.4706 loss_cls_1: 3.6087 2023/01/31 09:37:05 - mmengine - INFO - Epoch(train) [3][ 540/1879] lr: 1.6054e-02 eta: 2 days, 17:59:13 time: 0.4815 data_time: 0.0333 memory: 18108 grad_norm: 5.2707 loss: 7.8547 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 4.1680 top1_acc_1: 0.3176 top5_acc_1: 0.5412 loss_cls_1: 3.6867 2023/01/31 09:37:15 - mmengine - INFO - Epoch(train) [3][ 560/1879] lr: 1.6082e-02 eta: 2 days, 17:58:33 time: 0.4846 data_time: 0.0331 memory: 18108 grad_norm: 5.2568 loss: 7.5447 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 3.9144 top1_acc_1: 0.2235 top5_acc_1: 0.4941 loss_cls_1: 3.6303 2023/01/31 09:37:25 - mmengine - INFO - Epoch(train) [3][ 580/1879] lr: 1.6110e-02 eta: 2 days, 17:59:04 time: 0.5170 data_time: 0.0322 memory: 18108 grad_norm: 5.3300 loss: 7.4915 top1_acc_0: 0.0000 top5_acc_0: 0.2500 loss_cls_0: 3.9588 top1_acc_1: 0.3529 top5_acc_1: 0.5412 loss_cls_1: 3.5327 2023/01/31 09:37:35 - mmengine - INFO - Epoch(train) [3][ 600/1879] lr: 1.6138e-02 eta: 2 days, 17:58:34 time: 0.4890 data_time: 0.0316 memory: 18108 grad_norm: 5.2865 loss: 7.7170 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 4.0637 top1_acc_1: 0.2824 top5_acc_1: 0.4471 loss_cls_1: 3.6533 2023/01/31 09:37:45 - mmengine - INFO - Epoch(train) [3][ 620/1879] lr: 1.6166e-02 eta: 2 days, 17:58:24 time: 0.4984 data_time: 0.0307 memory: 18108 grad_norm: 5.2983 loss: 7.8905 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 4.2373 top1_acc_1: 0.2824 top5_acc_1: 0.4941 loss_cls_1: 3.6532 2023/01/31 09:37:55 - mmengine - INFO - Epoch(train) [3][ 640/1879] lr: 1.6194e-02 eta: 2 days, 17:58:47 time: 0.5133 data_time: 0.0312 memory: 18108 grad_norm: 5.3090 loss: 7.5259 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 3.9800 top1_acc_1: 0.3294 top5_acc_1: 0.4824 loss_cls_1: 3.5459 2023/01/31 09:38:05 - mmengine - INFO - Epoch(train) [3][ 660/1879] lr: 1.6223e-02 eta: 2 days, 17:59:09 time: 0.5133 data_time: 0.0380 memory: 18108 grad_norm: 5.2483 loss: 7.5716 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.9299 top1_acc_1: 0.3059 top5_acc_1: 0.5529 loss_cls_1: 3.6417 2023/01/31 09:38:15 - mmengine - INFO - Epoch(train) [3][ 680/1879] lr: 1.6251e-02 eta: 2 days, 17:58:34 time: 0.4870 data_time: 0.0322 memory: 18108 grad_norm: 5.2618 loss: 7.7618 top1_acc_0: 0.0000 top5_acc_0: 0.3125 loss_cls_0: 4.1928 top1_acc_1: 0.3294 top5_acc_1: 0.4824 loss_cls_1: 3.5690 2023/01/31 09:38:25 - mmengine - INFO - Epoch(train) [3][ 700/1879] lr: 1.6279e-02 eta: 2 days, 17:59:02 time: 0.5158 data_time: 0.0323 memory: 18108 grad_norm: 5.1882 loss: 7.5533 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.8754 top1_acc_1: 0.2353 top5_acc_1: 0.4235 loss_cls_1: 3.6779 2023/01/31 09:38:35 - mmengine - INFO - Epoch(train) [3][ 720/1879] lr: 1.6307e-02 eta: 2 days, 17:58:47 time: 0.4960 data_time: 0.0311 memory: 18108 grad_norm: 5.3060 loss: 7.6954 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 4.0841 top1_acc_1: 0.2471 top5_acc_1: 0.4353 loss_cls_1: 3.6112 2023/01/31 09:38:46 - mmengine - INFO - Epoch(train) [3][ 740/1879] lr: 1.6335e-02 eta: 2 days, 17:59:01 time: 0.5100 data_time: 0.0389 memory: 18108 grad_norm: 5.2951 loss: 7.7725 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 4.1944 top1_acc_1: 0.3176 top5_acc_1: 0.6353 loss_cls_1: 3.5781 2023/01/31 09:38:55 - mmengine - INFO - Epoch(train) [3][ 760/1879] lr: 1.6363e-02 eta: 2 days, 17:58:42 time: 0.4940 data_time: 0.0328 memory: 18108 grad_norm: 5.3073 loss: 7.5508 top1_acc_0: 0.0625 top5_acc_0: 0.3125 loss_cls_0: 3.9471 top1_acc_1: 0.2588 top5_acc_1: 0.5059 loss_cls_1: 3.6037 2023/01/31 09:39:05 - mmengine - INFO - Epoch(train) [3][ 780/1879] lr: 1.6392e-02 eta: 2 days, 17:58:34 time: 0.4994 data_time: 0.0321 memory: 18108 grad_norm: 5.3105 loss: 7.7914 top1_acc_0: 0.1875 top5_acc_0: 0.2500 loss_cls_0: 4.1751 top1_acc_1: 0.2706 top5_acc_1: 0.5176 loss_cls_1: 3.6163 2023/01/31 09:39:15 - mmengine - INFO - Epoch(train) [3][ 800/1879] lr: 1.6420e-02 eta: 2 days, 17:57:47 time: 0.4808 data_time: 0.0324 memory: 18108 grad_norm: 5.2896 loss: 7.4213 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 3.8638 top1_acc_1: 0.3294 top5_acc_1: 0.6353 loss_cls_1: 3.5576 2023/01/31 09:39:25 - mmengine - INFO - Epoch(train) [3][ 820/1879] lr: 1.6448e-02 eta: 2 days, 17:57:11 time: 0.4858 data_time: 0.0331 memory: 18108 grad_norm: 5.2041 loss: 7.7708 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 4.1820 top1_acc_1: 0.1882 top5_acc_1: 0.4471 loss_cls_1: 3.5888 2023/01/31 09:39:35 - mmengine - INFO - Epoch(train) [3][ 840/1879] lr: 1.6476e-02 eta: 2 days, 17:57:00 time: 0.4980 data_time: 0.0325 memory: 18108 grad_norm: 5.2040 loss: 7.5542 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 4.0216 top1_acc_1: 0.2471 top5_acc_1: 0.4588 loss_cls_1: 3.5326 2023/01/31 09:39:45 - mmengine - INFO - Epoch(train) [3][ 860/1879] lr: 1.6504e-02 eta: 2 days, 17:56:38 time: 0.4924 data_time: 0.0321 memory: 18108 grad_norm: 5.2781 loss: 7.6303 top1_acc_0: 0.1875 top5_acc_0: 0.2500 loss_cls_0: 4.0288 top1_acc_1: 0.2706 top5_acc_1: 0.4824 loss_cls_1: 3.6016 2023/01/31 09:39:54 - mmengine - INFO - Epoch(train) [3][ 880/1879] lr: 1.6533e-02 eta: 2 days, 17:56:02 time: 0.4856 data_time: 0.0413 memory: 18108 grad_norm: 5.1885 loss: 7.5695 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 4.0790 top1_acc_1: 0.2824 top5_acc_1: 0.5412 loss_cls_1: 3.4905 2023/01/31 09:40:04 - mmengine - INFO - Epoch(train) [3][ 900/1879] lr: 1.6561e-02 eta: 2 days, 17:55:44 time: 0.4946 data_time: 0.0347 memory: 18108 grad_norm: 5.2139 loss: 7.7269 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 4.1426 top1_acc_1: 0.2588 top5_acc_1: 0.5059 loss_cls_1: 3.5843 2023/01/31 09:40:14 - mmengine - INFO - Epoch(train) [3][ 920/1879] lr: 1.6589e-02 eta: 2 days, 17:55:24 time: 0.4932 data_time: 0.0317 memory: 18108 grad_norm: 5.2433 loss: 7.3784 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 3.9489 top1_acc_1: 0.2824 top5_acc_1: 0.5059 loss_cls_1: 3.4295 2023/01/31 09:40:24 - mmengine - INFO - Epoch(train) [3][ 940/1879] lr: 1.6617e-02 eta: 2 days, 17:54:25 time: 0.4739 data_time: 0.0344 memory: 18108 grad_norm: 5.1876 loss: 7.5860 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 4.0787 top1_acc_1: 0.3412 top5_acc_1: 0.5294 loss_cls_1: 3.5073 2023/01/31 09:40:33 - mmengine - INFO - Epoch(train) [3][ 960/1879] lr: 1.6645e-02 eta: 2 days, 17:53:51 time: 0.4865 data_time: 0.0394 memory: 18108 grad_norm: 5.2332 loss: 7.4345 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.9753 top1_acc_1: 0.2235 top5_acc_1: 0.4353 loss_cls_1: 3.4592 2023/01/31 09:40:43 - mmengine - INFO - Epoch(train) [3][ 980/1879] lr: 1.6673e-02 eta: 2 days, 17:53:30 time: 0.4925 data_time: 0.0361 memory: 18108 grad_norm: 5.2835 loss: 7.4984 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 4.0377 top1_acc_1: 0.2824 top5_acc_1: 0.5176 loss_cls_1: 3.4607 2023/01/31 09:40:53 - mmengine - INFO - Epoch(train) [3][1000/1879] lr: 1.6702e-02 eta: 2 days, 17:52:54 time: 0.4851 data_time: 0.0293 memory: 18108 grad_norm: 5.2780 loss: 7.5458 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 4.0630 top1_acc_1: 0.2824 top5_acc_1: 0.4706 loss_cls_1: 3.4827 2023/01/31 09:41:03 - mmengine - INFO - Epoch(train) [3][1020/1879] lr: 1.6730e-02 eta: 2 days, 17:52:21 time: 0.4862 data_time: 0.0455 memory: 18108 grad_norm: 5.1817 loss: 7.4243 top1_acc_0: 0.0000 top5_acc_0: 0.2500 loss_cls_0: 3.9064 top1_acc_1: 0.2471 top5_acc_1: 0.4824 loss_cls_1: 3.5179 2023/01/31 09:41:12 - mmengine - INFO - Epoch(train) [3][1040/1879] lr: 1.6758e-02 eta: 2 days, 17:51:36 time: 0.4803 data_time: 0.0302 memory: 18108 grad_norm: 5.2097 loss: 7.5793 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 4.0325 top1_acc_1: 0.3647 top5_acc_1: 0.5647 loss_cls_1: 3.5468 2023/01/31 09:41:22 - mmengine - INFO - Epoch(train) [3][1060/1879] lr: 1.6786e-02 eta: 2 days, 17:51:03 time: 0.4864 data_time: 0.0366 memory: 18108 grad_norm: 5.2125 loss: 7.5667 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 4.0787 top1_acc_1: 0.2588 top5_acc_1: 0.4824 loss_cls_1: 3.4880 2023/01/31 09:41:31 - mmengine - INFO - Epoch(train) [3][1080/1879] lr: 1.6814e-02 eta: 2 days, 17:50:13 time: 0.4772 data_time: 0.0297 memory: 18108 grad_norm: 5.2029 loss: 7.4376 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 3.8785 top1_acc_1: 0.3294 top5_acc_1: 0.5412 loss_cls_1: 3.5590 2023/01/31 09:41:41 - mmengine - INFO - Epoch(train) [3][1100/1879] lr: 1.6842e-02 eta: 2 days, 17:50:07 time: 0.5000 data_time: 0.0433 memory: 18108 grad_norm: 5.1890 loss: 7.6418 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 4.1041 top1_acc_1: 0.2471 top5_acc_1: 0.4353 loss_cls_1: 3.5377 2023/01/31 09:41:51 - mmengine - INFO - Epoch(train) [3][1120/1879] lr: 1.6871e-02 eta: 2 days, 17:49:28 time: 0.4828 data_time: 0.0309 memory: 18108 grad_norm: 5.1765 loss: 7.6846 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 4.1704 top1_acc_1: 0.2706 top5_acc_1: 0.5412 loss_cls_1: 3.5142 2023/01/31 09:42:01 - mmengine - INFO - Epoch(train) [3][1140/1879] lr: 1.6899e-02 eta: 2 days, 17:48:30 time: 0.4728 data_time: 0.0351 memory: 18108 grad_norm: 5.1935 loss: 7.4350 top1_acc_0: 0.1875 top5_acc_0: 0.2500 loss_cls_0: 4.0219 top1_acc_1: 0.2000 top5_acc_1: 0.4824 loss_cls_1: 3.4131 2023/01/31 09:42:10 - mmengine - INFO - Epoch(train) [3][1160/1879] lr: 1.6927e-02 eta: 2 days, 17:47:59 time: 0.4865 data_time: 0.0376 memory: 18108 grad_norm: 5.1783 loss: 7.5111 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 3.9957 top1_acc_1: 0.2000 top5_acc_1: 0.4353 loss_cls_1: 3.5154 2023/01/31 09:42:20 - mmengine - INFO - Epoch(train) [3][1180/1879] lr: 1.6955e-02 eta: 2 days, 17:47:40 time: 0.4933 data_time: 0.0366 memory: 18108 grad_norm: 5.2374 loss: 7.5371 top1_acc_0: 0.0000 top5_acc_0: 0.2500 loss_cls_0: 4.0790 top1_acc_1: 0.2471 top5_acc_1: 0.4824 loss_cls_1: 3.4581 2023/01/31 09:42:30 - mmengine - INFO - Epoch(train) [3][1200/1879] lr: 1.6983e-02 eta: 2 days, 17:47:03 time: 0.4834 data_time: 0.0299 memory: 18108 grad_norm: 5.1717 loss: 7.4671 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 3.9645 top1_acc_1: 0.3294 top5_acc_1: 0.5059 loss_cls_1: 3.5025 2023/01/31 09:42:39 - mmengine - INFO - Epoch(train) [3][1220/1879] lr: 1.7012e-02 eta: 2 days, 17:46:26 time: 0.4830 data_time: 0.0367 memory: 18108 grad_norm: 5.2030 loss: 7.4223 top1_acc_0: 0.0000 top5_acc_0: 0.3750 loss_cls_0: 4.0036 top1_acc_1: 0.2941 top5_acc_1: 0.5294 loss_cls_1: 3.4187 2023/01/31 09:42:49 - mmengine - INFO - Epoch(train) [3][1240/1879] lr: 1.7040e-02 eta: 2 days, 17:45:48 time: 0.4827 data_time: 0.0370 memory: 18108 grad_norm: 5.1447 loss: 7.6212 top1_acc_0: 0.1875 top5_acc_0: 0.2500 loss_cls_0: 4.0687 top1_acc_1: 0.2471 top5_acc_1: 0.4706 loss_cls_1: 3.5525 2023/01/31 09:42:50 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 09:42:59 - mmengine - INFO - Epoch(train) [3][1260/1879] lr: 1.7068e-02 eta: 2 days, 17:45:37 time: 0.4968 data_time: 0.0369 memory: 18108 grad_norm: 5.1266 loss: 7.4000 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 3.9994 top1_acc_1: 0.2824 top5_acc_1: 0.5176 loss_cls_1: 3.4005 2023/01/31 09:43:08 - mmengine - INFO - Epoch(train) [3][1280/1879] lr: 1.7096e-02 eta: 2 days, 17:44:31 time: 0.4678 data_time: 0.0290 memory: 18108 grad_norm: 5.2503 loss: 7.1862 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.7624 top1_acc_1: 0.2588 top5_acc_1: 0.4824 loss_cls_1: 3.4237 2023/01/31 09:43:18 - mmengine - INFO - Epoch(train) [3][1300/1879] lr: 1.7124e-02 eta: 2 days, 17:43:11 time: 0.4601 data_time: 0.0368 memory: 18108 grad_norm: 5.1752 loss: 7.3957 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.9764 top1_acc_1: 0.2471 top5_acc_1: 0.5412 loss_cls_1: 3.4193 2023/01/31 09:43:28 - mmengine - INFO - Epoch(train) [3][1320/1879] lr: 1.7152e-02 eta: 2 days, 17:43:08 time: 0.5007 data_time: 0.0461 memory: 18108 grad_norm: 5.2037 loss: 7.4610 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 4.0164 top1_acc_1: 0.4118 top5_acc_1: 0.6588 loss_cls_1: 3.4445 2023/01/31 09:43:37 - mmengine - INFO - Epoch(train) [3][1340/1879] lr: 1.7181e-02 eta: 2 days, 17:41:37 time: 0.4537 data_time: 0.0385 memory: 18108 grad_norm: 5.1587 loss: 7.2765 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 3.8356 top1_acc_1: 0.3529 top5_acc_1: 0.5765 loss_cls_1: 3.4409 2023/01/31 09:43:46 - mmengine - INFO - Epoch(train) [3][1360/1879] lr: 1.7209e-02 eta: 2 days, 17:40:20 time: 0.4608 data_time: 0.0356 memory: 18108 grad_norm: 5.1374 loss: 7.3506 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.8306 top1_acc_1: 0.3176 top5_acc_1: 0.5647 loss_cls_1: 3.5200 2023/01/31 09:43:55 - mmengine - INFO - Epoch(train) [3][1380/1879] lr: 1.7237e-02 eta: 2 days, 17:39:02 time: 0.4598 data_time: 0.0338 memory: 18108 grad_norm: 5.1276 loss: 7.4364 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 3.9332 top1_acc_1: 0.3176 top5_acc_1: 0.5765 loss_cls_1: 3.5032 2023/01/31 09:44:04 - mmengine - INFO - Epoch(train) [3][1400/1879] lr: 1.7265e-02 eta: 2 days, 17:37:31 time: 0.4529 data_time: 0.0434 memory: 18108 grad_norm: 5.0568 loss: 7.1876 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.7271 top1_acc_1: 0.3412 top5_acc_1: 0.5529 loss_cls_1: 3.4605 2023/01/31 09:44:13 - mmengine - INFO - Epoch(train) [3][1420/1879] lr: 1.7293e-02 eta: 2 days, 17:36:22 time: 0.4642 data_time: 0.0353 memory: 18108 grad_norm: 5.1102 loss: 7.2143 top1_acc_0: 0.0625 top5_acc_0: 0.4375 loss_cls_0: 3.8183 top1_acc_1: 0.3529 top5_acc_1: 0.6706 loss_cls_1: 3.3959 2023/01/31 09:44:22 - mmengine - INFO - Epoch(train) [3][1440/1879] lr: 1.7321e-02 eta: 2 days, 17:34:47 time: 0.4502 data_time: 0.0368 memory: 18108 grad_norm: 5.1323 loss: 7.3718 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 4.0061 top1_acc_1: 0.3176 top5_acc_1: 0.5529 loss_cls_1: 3.3657 2023/01/31 09:44:32 - mmengine - INFO - Epoch(train) [3][1460/1879] lr: 1.7350e-02 eta: 2 days, 17:33:46 time: 0.4681 data_time: 0.0345 memory: 18108 grad_norm: 5.0521 loss: 7.4423 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.8994 top1_acc_1: 0.2941 top5_acc_1: 0.4471 loss_cls_1: 3.5429 2023/01/31 09:44:41 - mmengine - INFO - Epoch(train) [3][1480/1879] lr: 1.7378e-02 eta: 2 days, 17:32:06 time: 0.4463 data_time: 0.0361 memory: 18108 grad_norm: 5.1538 loss: 7.3828 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 3.9906 top1_acc_1: 0.3412 top5_acc_1: 0.5059 loss_cls_1: 3.3922 2023/01/31 09:44:50 - mmengine - INFO - Epoch(train) [3][1500/1879] lr: 1.7406e-02 eta: 2 days, 17:31:01 time: 0.4656 data_time: 0.0413 memory: 18108 grad_norm: 5.1259 loss: 7.4747 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 4.0220 top1_acc_1: 0.3059 top5_acc_1: 0.6706 loss_cls_1: 3.4527 2023/01/31 09:44:59 - mmengine - INFO - Epoch(train) [3][1520/1879] lr: 1.7434e-02 eta: 2 days, 17:29:40 time: 0.4562 data_time: 0.0353 memory: 18108 grad_norm: 5.1074 loss: 7.3065 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.8793 top1_acc_1: 0.3059 top5_acc_1: 0.5412 loss_cls_1: 3.4272 2023/01/31 09:45:08 - mmengine - INFO - Epoch(train) [3][1540/1879] lr: 1.7462e-02 eta: 2 days, 17:28:13 time: 0.4526 data_time: 0.0376 memory: 18108 grad_norm: 5.0771 loss: 7.1471 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.7037 top1_acc_1: 0.2941 top5_acc_1: 0.6000 loss_cls_1: 3.4434 2023/01/31 09:45:17 - mmengine - INFO - Epoch(train) [3][1560/1879] lr: 1.7490e-02 eta: 2 days, 17:26:58 time: 0.4591 data_time: 0.0372 memory: 18108 grad_norm: 5.1605 loss: 7.2721 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.8499 top1_acc_1: 0.2824 top5_acc_1: 0.5294 loss_cls_1: 3.4222 2023/01/31 09:45:27 - mmengine - INFO - Epoch(train) [3][1580/1879] lr: 1.7519e-02 eta: 2 days, 17:25:49 time: 0.4619 data_time: 0.0420 memory: 18108 grad_norm: 5.1421 loss: 7.0723 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 3.6761 top1_acc_1: 0.2706 top5_acc_1: 0.5059 loss_cls_1: 3.3961 2023/01/31 09:45:36 - mmengine - INFO - Epoch(train) [3][1600/1879] lr: 1.7547e-02 eta: 2 days, 17:24:23 time: 0.4527 data_time: 0.0343 memory: 18108 grad_norm: 5.0660 loss: 7.4092 top1_acc_0: 0.1875 top5_acc_0: 0.2500 loss_cls_0: 3.9389 top1_acc_1: 0.2941 top5_acc_1: 0.5765 loss_cls_1: 3.4704 2023/01/31 09:45:45 - mmengine - INFO - Epoch(train) [3][1620/1879] lr: 1.7575e-02 eta: 2 days, 17:23:23 time: 0.4664 data_time: 0.0356 memory: 18108 grad_norm: 5.0980 loss: 7.2219 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.8357 top1_acc_1: 0.3647 top5_acc_1: 0.6118 loss_cls_1: 3.3861 2023/01/31 09:45:54 - mmengine - INFO - Epoch(train) [3][1640/1879] lr: 1.7603e-02 eta: 2 days, 17:22:02 time: 0.4547 data_time: 0.0329 memory: 18108 grad_norm: 5.0569 loss: 7.2341 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.8436 top1_acc_1: 0.3059 top5_acc_1: 0.4941 loss_cls_1: 3.3905 2023/01/31 09:46:03 - mmengine - INFO - Epoch(train) [3][1660/1879] lr: 1.7631e-02 eta: 2 days, 17:20:55 time: 0.4620 data_time: 0.0343 memory: 18108 grad_norm: 5.1013 loss: 7.3605 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 3.9541 top1_acc_1: 0.2824 top5_acc_1: 0.5765 loss_cls_1: 3.4065 2023/01/31 09:46:13 - mmengine - INFO - Epoch(train) [3][1680/1879] lr: 1.7660e-02 eta: 2 days, 17:19:41 time: 0.4581 data_time: 0.0349 memory: 18108 grad_norm: 5.0370 loss: 7.3921 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.9988 top1_acc_1: 0.3059 top5_acc_1: 0.5412 loss_cls_1: 3.3933 2023/01/31 09:46:22 - mmengine - INFO - Epoch(train) [3][1700/1879] lr: 1.7688e-02 eta: 2 days, 17:18:46 time: 0.4688 data_time: 0.0364 memory: 18108 grad_norm: 5.0405 loss: 7.1509 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.7751 top1_acc_1: 0.3647 top5_acc_1: 0.6353 loss_cls_1: 3.3758 2023/01/31 09:46:31 - mmengine - INFO - Epoch(train) [3][1720/1879] lr: 1.7716e-02 eta: 2 days, 17:17:34 time: 0.4586 data_time: 0.0361 memory: 18108 grad_norm: 5.1349 loss: 7.2980 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.9198 top1_acc_1: 0.2706 top5_acc_1: 0.4824 loss_cls_1: 3.3782 2023/01/31 09:46:40 - mmengine - INFO - Epoch(train) [3][1740/1879] lr: 1.7744e-02 eta: 2 days, 17:16:36 time: 0.4663 data_time: 0.0434 memory: 18108 grad_norm: 5.0145 loss: 7.1952 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 3.8452 top1_acc_1: 0.2824 top5_acc_1: 0.4824 loss_cls_1: 3.3500 2023/01/31 09:46:50 - mmengine - INFO - Epoch(train) [3][1760/1879] lr: 1.7772e-02 eta: 2 days, 17:15:40 time: 0.4678 data_time: 0.0341 memory: 18108 grad_norm: 5.0468 loss: 7.1251 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.8159 top1_acc_1: 0.2941 top5_acc_1: 0.5412 loss_cls_1: 3.3092 2023/01/31 09:46:59 - mmengine - INFO - Epoch(train) [3][1780/1879] lr: 1.7800e-02 eta: 2 days, 17:14:40 time: 0.4645 data_time: 0.0349 memory: 18108 grad_norm: 5.0610 loss: 7.5280 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 4.1274 top1_acc_1: 0.3647 top5_acc_1: 0.5765 loss_cls_1: 3.4005 2023/01/31 09:47:08 - mmengine - INFO - Epoch(train) [3][1800/1879] lr: 1.7829e-02 eta: 2 days, 17:13:27 time: 0.4573 data_time: 0.0345 memory: 18108 grad_norm: 5.0408 loss: 7.4737 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 4.0784 top1_acc_1: 0.3176 top5_acc_1: 0.6118 loss_cls_1: 3.3953 2023/01/31 09:47:17 - mmengine - INFO - Epoch(train) [3][1820/1879] lr: 1.7857e-02 eta: 2 days, 17:12:12 time: 0.4554 data_time: 0.0435 memory: 18108 grad_norm: 5.0981 loss: 7.2027 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 3.7817 top1_acc_1: 0.3529 top5_acc_1: 0.6118 loss_cls_1: 3.4210 2023/01/31 09:47:26 - mmengine - INFO - Epoch(train) [3][1840/1879] lr: 1.7885e-02 eta: 2 days, 17:10:55 time: 0.4546 data_time: 0.0353 memory: 18108 grad_norm: 5.0412 loss: 7.3770 top1_acc_0: 0.0625 top5_acc_0: 0.4375 loss_cls_0: 3.9443 top1_acc_1: 0.2588 top5_acc_1: 0.5294 loss_cls_1: 3.4326 2023/01/31 09:47:36 - mmengine - INFO - Epoch(train) [3][1860/1879] lr: 1.7913e-02 eta: 2 days, 17:10:15 time: 0.4757 data_time: 0.0354 memory: 18108 grad_norm: 5.0940 loss: 7.0868 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.7277 top1_acc_1: 0.3765 top5_acc_1: 0.5529 loss_cls_1: 3.3591 2023/01/31 09:47:44 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 09:47:44 - mmengine - INFO - Epoch(train) [3][1879/1879] lr: 1.7940e-02 eta: 2 days, 17:08:46 time: 0.4438 data_time: 0.0300 memory: 18108 grad_norm: 5.0895 loss: 7.0620 top1_acc_0: 0.2857 top5_acc_0: 0.2857 loss_cls_0: 3.7753 top1_acc_1: 0.2824 top5_acc_1: 0.5529 loss_cls_1: 3.2866 2023/01/31 09:47:59 - mmengine - INFO - Epoch(train) [4][ 20/1879] lr: 1.7968e-02 eta: 2 days, 17:14:16 time: 0.6955 data_time: 0.2564 memory: 18108 grad_norm: 5.0080 loss: 7.2260 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 3.9663 top1_acc_1: 0.3294 top5_acc_1: 0.5412 loss_cls_1: 3.2597 2023/01/31 09:48:08 - mmengine - INFO - Epoch(train) [4][ 40/1879] lr: 1.7996e-02 eta: 2 days, 17:13:18 time: 0.4653 data_time: 0.0346 memory: 18108 grad_norm: 4.9775 loss: 7.0291 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 3.8023 top1_acc_1: 0.2824 top5_acc_1: 0.5529 loss_cls_1: 3.2268 2023/01/31 09:48:18 - mmengine - INFO - Epoch(train) [4][ 60/1879] lr: 1.8024e-02 eta: 2 days, 17:12:26 time: 0.4687 data_time: 0.0331 memory: 18108 grad_norm: 5.0359 loss: 7.0919 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.7511 top1_acc_1: 0.2588 top5_acc_1: 0.4588 loss_cls_1: 3.3407 2023/01/31 09:48:28 - mmengine - INFO - Epoch(train) [4][ 80/1879] lr: 1.8053e-02 eta: 2 days, 17:12:15 time: 0.4931 data_time: 0.0317 memory: 18108 grad_norm: 5.0580 loss: 7.1418 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.9324 top1_acc_1: 0.3412 top5_acc_1: 0.6118 loss_cls_1: 3.2094 2023/01/31 09:48:37 - mmengine - INFO - Epoch(train) [4][ 100/1879] lr: 1.8081e-02 eta: 2 days, 17:11:30 time: 0.4729 data_time: 0.0353 memory: 18108 grad_norm: 5.0385 loss: 7.2636 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.9809 top1_acc_1: 0.3412 top5_acc_1: 0.5765 loss_cls_1: 3.2827 2023/01/31 09:48:46 - mmengine - INFO - Epoch(train) [4][ 120/1879] lr: 1.8109e-02 eta: 2 days, 17:10:33 time: 0.4651 data_time: 0.0346 memory: 18108 grad_norm: 5.0849 loss: 7.0038 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 3.9004 top1_acc_1: 0.3765 top5_acc_1: 0.5882 loss_cls_1: 3.1034 2023/01/31 09:48:56 - mmengine - INFO - Epoch(train) [4][ 140/1879] lr: 1.8137e-02 eta: 2 days, 17:09:54 time: 0.4758 data_time: 0.0330 memory: 18108 grad_norm: 5.0341 loss: 7.1228 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.7769 top1_acc_1: 0.2706 top5_acc_1: 0.4588 loss_cls_1: 3.3460 2023/01/31 09:49:06 - mmengine - INFO - Epoch(train) [4][ 160/1879] lr: 1.8165e-02 eta: 2 days, 17:10:24 time: 0.5182 data_time: 0.0422 memory: 18108 grad_norm: 5.1124 loss: 7.0766 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.8342 top1_acc_1: 0.3765 top5_acc_1: 0.6235 loss_cls_1: 3.2423 2023/01/31 09:49:16 - mmengine - INFO - Epoch(train) [4][ 180/1879] lr: 1.8193e-02 eta: 2 days, 17:09:39 time: 0.4719 data_time: 0.0353 memory: 18108 grad_norm: 5.0089 loss: 7.0405 top1_acc_0: 0.0625 top5_acc_0: 0.5625 loss_cls_0: 3.7943 top1_acc_1: 0.3412 top5_acc_1: 0.5647 loss_cls_1: 3.2462 2023/01/31 09:49:25 - mmengine - INFO - Epoch(train) [4][ 200/1879] lr: 1.8222e-02 eta: 2 days, 17:08:56 time: 0.4738 data_time: 0.0343 memory: 18108 grad_norm: 4.9468 loss: 6.9269 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.7769 top1_acc_1: 0.3176 top5_acc_1: 0.5882 loss_cls_1: 3.1500 2023/01/31 09:49:35 - mmengine - INFO - Epoch(train) [4][ 220/1879] lr: 1.8250e-02 eta: 2 days, 17:09:09 time: 0.5076 data_time: 0.0354 memory: 18108 grad_norm: 4.9588 loss: 7.2051 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.9459 top1_acc_1: 0.3529 top5_acc_1: 0.5647 loss_cls_1: 3.2592 2023/01/31 09:49:45 - mmengine - INFO - Epoch(train) [4][ 240/1879] lr: 1.8278e-02 eta: 2 days, 17:09:13 time: 0.5020 data_time: 0.0411 memory: 18108 grad_norm: 5.0544 loss: 7.1199 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.9126 top1_acc_1: 0.2824 top5_acc_1: 0.5176 loss_cls_1: 3.2073 2023/01/31 09:49:55 - mmengine - INFO - Epoch(train) [4][ 260/1879] lr: 1.8306e-02 eta: 2 days, 17:08:31 time: 0.4736 data_time: 0.0323 memory: 18108 grad_norm: 4.9570 loss: 6.9861 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.7720 top1_acc_1: 0.3412 top5_acc_1: 0.5412 loss_cls_1: 3.2141 2023/01/31 09:50:04 - mmengine - INFO - Epoch(train) [4][ 280/1879] lr: 1.8334e-02 eta: 2 days, 17:08:06 time: 0.4844 data_time: 0.0328 memory: 18108 grad_norm: 5.0149 loss: 7.0419 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.7436 top1_acc_1: 0.2471 top5_acc_1: 0.5765 loss_cls_1: 3.2983 2023/01/31 09:50:14 - mmengine - INFO - Epoch(train) [4][ 300/1879] lr: 1.8363e-02 eta: 2 days, 17:08:04 time: 0.4985 data_time: 0.0330 memory: 18108 grad_norm: 5.0358 loss: 7.0645 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.7986 top1_acc_1: 0.3059 top5_acc_1: 0.6118 loss_cls_1: 3.2659 2023/01/31 09:50:24 - mmengine - INFO - Epoch(train) [4][ 320/1879] lr: 1.8391e-02 eta: 2 days, 17:07:35 time: 0.4814 data_time: 0.0421 memory: 18108 grad_norm: 4.9624 loss: 7.0172 top1_acc_0: 0.1875 top5_acc_0: 0.2500 loss_cls_0: 3.7047 top1_acc_1: 0.3294 top5_acc_1: 0.5765 loss_cls_1: 3.3125 2023/01/31 09:50:34 - mmengine - INFO - Epoch(train) [4][ 340/1879] lr: 1.8419e-02 eta: 2 days, 17:06:58 time: 0.4765 data_time: 0.0330 memory: 18108 grad_norm: 4.9682 loss: 7.1149 top1_acc_0: 0.0625 top5_acc_0: 0.3125 loss_cls_0: 3.8758 top1_acc_1: 0.4235 top5_acc_1: 0.6824 loss_cls_1: 3.2391 2023/01/31 09:50:43 - mmengine - INFO - Epoch(train) [4][ 360/1879] lr: 1.8447e-02 eta: 2 days, 17:06:41 time: 0.4891 data_time: 0.0318 memory: 18108 grad_norm: 5.0460 loss: 7.1712 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 3.8930 top1_acc_1: 0.2353 top5_acc_1: 0.6941 loss_cls_1: 3.2782 2023/01/31 09:50:45 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 09:50:53 - mmengine - INFO - Epoch(train) [4][ 380/1879] lr: 1.8475e-02 eta: 2 days, 17:06:40 time: 0.4990 data_time: 0.0338 memory: 18108 grad_norm: 5.0478 loss: 7.1215 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 3.8233 top1_acc_1: 0.3294 top5_acc_1: 0.6471 loss_cls_1: 3.2982 2023/01/31 09:51:03 - mmengine - INFO - Epoch(train) [4][ 400/1879] lr: 1.8503e-02 eta: 2 days, 17:05:54 time: 0.4702 data_time: 0.0329 memory: 18108 grad_norm: 4.9920 loss: 7.1386 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.8147 top1_acc_1: 0.3294 top5_acc_1: 0.5176 loss_cls_1: 3.3239 2023/01/31 09:51:12 - mmengine - INFO - Epoch(train) [4][ 420/1879] lr: 1.8532e-02 eta: 2 days, 17:05:24 time: 0.4811 data_time: 0.0327 memory: 18108 grad_norm: 4.9200 loss: 6.9915 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.8254 top1_acc_1: 0.4000 top5_acc_1: 0.6706 loss_cls_1: 3.1661 2023/01/31 09:51:22 - mmengine - INFO - Epoch(train) [4][ 440/1879] lr: 1.8560e-02 eta: 2 days, 17:04:42 time: 0.4724 data_time: 0.0332 memory: 18108 grad_norm: 5.0134 loss: 7.1595 top1_acc_0: 0.0625 top5_acc_0: 0.2500 loss_cls_0: 3.8994 top1_acc_1: 0.2941 top5_acc_1: 0.5647 loss_cls_1: 3.2601 2023/01/31 09:51:32 - mmengine - INFO - Epoch(train) [4][ 460/1879] lr: 1.8588e-02 eta: 2 days, 17:04:36 time: 0.4958 data_time: 0.0395 memory: 18108 grad_norm: 4.9810 loss: 7.1679 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.8790 top1_acc_1: 0.3647 top5_acc_1: 0.6000 loss_cls_1: 3.2889 2023/01/31 09:51:41 - mmengine - INFO - Epoch(train) [4][ 480/1879] lr: 1.8616e-02 eta: 2 days, 17:03:54 time: 0.4726 data_time: 0.0315 memory: 18108 grad_norm: 4.9772 loss: 7.0670 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.9082 top1_acc_1: 0.3412 top5_acc_1: 0.5882 loss_cls_1: 3.1588 2023/01/31 09:51:51 - mmengine - INFO - Epoch(train) [4][ 500/1879] lr: 1.8644e-02 eta: 2 days, 17:03:37 time: 0.4885 data_time: 0.0313 memory: 18108 grad_norm: 4.9899 loss: 6.9860 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 3.7358 top1_acc_1: 0.3294 top5_acc_1: 0.6000 loss_cls_1: 3.2502 2023/01/31 09:52:01 - mmengine - INFO - Epoch(train) [4][ 520/1879] lr: 1.8672e-02 eta: 2 days, 17:03:08 time: 0.4810 data_time: 0.0325 memory: 18108 grad_norm: 5.0555 loss: 7.2599 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 4.0844 top1_acc_1: 0.2706 top5_acc_1: 0.5059 loss_cls_1: 3.1755 2023/01/31 09:52:10 - mmengine - INFO - Epoch(train) [4][ 540/1879] lr: 1.8701e-02 eta: 2 days, 17:03:00 time: 0.4946 data_time: 0.0393 memory: 18108 grad_norm: 4.9681 loss: 7.1153 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.7594 top1_acc_1: 0.2824 top5_acc_1: 0.4824 loss_cls_1: 3.3558 2023/01/31 09:52:20 - mmengine - INFO - Epoch(train) [4][ 560/1879] lr: 1.8729e-02 eta: 2 days, 17:02:50 time: 0.4926 data_time: 0.0336 memory: 18108 grad_norm: 4.9686 loss: 6.9994 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 3.7818 top1_acc_1: 0.3647 top5_acc_1: 0.5882 loss_cls_1: 3.2176 2023/01/31 09:52:30 - mmengine - INFO - Epoch(train) [4][ 580/1879] lr: 1.8757e-02 eta: 2 days, 17:02:28 time: 0.4854 data_time: 0.0315 memory: 18108 grad_norm: 4.9690 loss: 7.0525 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.7942 top1_acc_1: 0.3647 top5_acc_1: 0.5882 loss_cls_1: 3.2583 2023/01/31 09:52:40 - mmengine - INFO - Epoch(train) [4][ 600/1879] lr: 1.8785e-02 eta: 2 days, 17:02:31 time: 0.5017 data_time: 0.0396 memory: 18108 grad_norm: 4.9244 loss: 7.0006 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.7963 top1_acc_1: 0.3412 top5_acc_1: 0.6000 loss_cls_1: 3.2043 2023/01/31 09:52:50 - mmengine - INFO - Epoch(train) [4][ 620/1879] lr: 1.8813e-02 eta: 2 days, 17:02:18 time: 0.4910 data_time: 0.0306 memory: 18108 grad_norm: 4.9577 loss: 7.2070 top1_acc_0: 0.0625 top5_acc_0: 0.2500 loss_cls_0: 3.9191 top1_acc_1: 0.3412 top5_acc_1: 0.5882 loss_cls_1: 3.2880 2023/01/31 09:53:00 - mmengine - INFO - Epoch(train) [4][ 640/1879] lr: 1.8842e-02 eta: 2 days, 17:02:21 time: 0.5021 data_time: 0.0320 memory: 18108 grad_norm: 4.9817 loss: 6.9415 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 3.6924 top1_acc_1: 0.3176 top5_acc_1: 0.6000 loss_cls_1: 3.2491 2023/01/31 09:53:10 - mmengine - INFO - Epoch(train) [4][ 660/1879] lr: 1.8870e-02 eta: 2 days, 17:01:55 time: 0.4823 data_time: 0.0325 memory: 18108 grad_norm: 4.9314 loss: 7.1375 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 3.8958 top1_acc_1: 0.3294 top5_acc_1: 0.5294 loss_cls_1: 3.2417 2023/01/31 09:53:20 - mmengine - INFO - Epoch(train) [4][ 680/1879] lr: 1.8898e-02 eta: 2 days, 17:01:57 time: 0.5009 data_time: 0.0438 memory: 18108 grad_norm: 4.9102 loss: 7.0229 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.8666 top1_acc_1: 0.3882 top5_acc_1: 0.6706 loss_cls_1: 3.1563 2023/01/31 09:53:30 - mmengine - INFO - Epoch(train) [4][ 700/1879] lr: 1.8926e-02 eta: 2 days, 17:01:56 time: 0.4990 data_time: 0.0315 memory: 18108 grad_norm: 4.9105 loss: 7.1289 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 3.8752 top1_acc_1: 0.3647 top5_acc_1: 0.6471 loss_cls_1: 3.2537 2023/01/31 09:53:39 - mmengine - INFO - Epoch(train) [4][ 720/1879] lr: 1.8954e-02 eta: 2 days, 17:01:45 time: 0.4923 data_time: 0.0328 memory: 18108 grad_norm: 4.9384 loss: 7.0631 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.8863 top1_acc_1: 0.3294 top5_acc_1: 0.5765 loss_cls_1: 3.1768 2023/01/31 09:53:49 - mmengine - INFO - Epoch(train) [4][ 740/1879] lr: 1.8982e-02 eta: 2 days, 17:01:32 time: 0.4910 data_time: 0.0317 memory: 18108 grad_norm: 4.9642 loss: 7.0479 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.9434 top1_acc_1: 0.3765 top5_acc_1: 0.6235 loss_cls_1: 3.1045 2023/01/31 09:53:59 - mmengine - INFO - Epoch(train) [4][ 760/1879] lr: 1.9011e-02 eta: 2 days, 17:01:45 time: 0.5089 data_time: 0.0328 memory: 18108 grad_norm: 4.9202 loss: 7.0798 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 3.8578 top1_acc_1: 0.2588 top5_acc_1: 0.5647 loss_cls_1: 3.2220 2023/01/31 09:54:09 - mmengine - INFO - Epoch(train) [4][ 780/1879] lr: 1.9039e-02 eta: 2 days, 17:01:37 time: 0.4946 data_time: 0.0320 memory: 18108 grad_norm: 4.9956 loss: 7.0150 top1_acc_0: 0.3750 top5_acc_0: 0.3750 loss_cls_0: 3.8104 top1_acc_1: 0.3647 top5_acc_1: 0.5765 loss_cls_1: 3.2046 2023/01/31 09:54:19 - mmengine - INFO - Epoch(train) [4][ 800/1879] lr: 1.9067e-02 eta: 2 days, 17:01:15 time: 0.4848 data_time: 0.0322 memory: 18108 grad_norm: 4.9872 loss: 7.0979 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 4.0221 top1_acc_1: 0.3882 top5_acc_1: 0.6706 loss_cls_1: 3.0757 2023/01/31 09:54:29 - mmengine - INFO - Epoch(train) [4][ 820/1879] lr: 1.9095e-02 eta: 2 days, 17:01:19 time: 0.5029 data_time: 0.0310 memory: 18108 grad_norm: 4.9667 loss: 7.0217 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.9578 top1_acc_1: 0.4118 top5_acc_1: 0.6588 loss_cls_1: 3.0639 2023/01/31 09:54:39 - mmengine - INFO - Epoch(train) [4][ 840/1879] lr: 1.9123e-02 eta: 2 days, 17:01:40 time: 0.5141 data_time: 0.0393 memory: 18108 grad_norm: 4.9443 loss: 7.1549 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.8905 top1_acc_1: 0.2118 top5_acc_1: 0.4471 loss_cls_1: 3.2644 2023/01/31 09:54:49 - mmengine - INFO - Epoch(train) [4][ 860/1879] lr: 1.9151e-02 eta: 2 days, 17:01:47 time: 0.5048 data_time: 0.0316 memory: 18108 grad_norm: 4.9612 loss: 6.8675 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 3.6555 top1_acc_1: 0.2706 top5_acc_1: 0.4471 loss_cls_1: 3.2120 2023/01/31 09:54:59 - mmengine - INFO - Epoch(train) [4][ 880/1879] lr: 1.9180e-02 eta: 2 days, 17:01:32 time: 0.4900 data_time: 0.0314 memory: 18108 grad_norm: 4.9684 loss: 6.9089 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 3.7865 top1_acc_1: 0.4000 top5_acc_1: 0.6118 loss_cls_1: 3.1223 2023/01/31 09:55:09 - mmengine - INFO - Epoch(train) [4][ 900/1879] lr: 1.9208e-02 eta: 2 days, 17:01:38 time: 0.5045 data_time: 0.0331 memory: 18108 grad_norm: 4.9222 loss: 6.7645 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.6731 top1_acc_1: 0.3882 top5_acc_1: 0.5765 loss_cls_1: 3.0914 2023/01/31 09:55:20 - mmengine - INFO - Epoch(train) [4][ 920/1879] lr: 1.9236e-02 eta: 2 days, 17:01:53 time: 0.5106 data_time: 0.0391 memory: 18108 grad_norm: 4.8370 loss: 6.8400 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.6664 top1_acc_1: 0.3412 top5_acc_1: 0.6000 loss_cls_1: 3.1736 2023/01/31 09:55:29 - mmengine - INFO - Epoch(train) [4][ 940/1879] lr: 1.9264e-02 eta: 2 days, 17:01:43 time: 0.4930 data_time: 0.0330 memory: 18108 grad_norm: 4.8388 loss: 6.8853 top1_acc_0: 0.0000 top5_acc_0: 0.1250 loss_cls_0: 3.8508 top1_acc_1: 0.3176 top5_acc_1: 0.5647 loss_cls_1: 3.0345 2023/01/31 09:55:40 - mmengine - INFO - Epoch(train) [4][ 960/1879] lr: 1.9292e-02 eta: 2 days, 17:01:56 time: 0.5092 data_time: 0.0318 memory: 18108 grad_norm: 4.8575 loss: 6.8026 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 3.6608 top1_acc_1: 0.4000 top5_acc_1: 0.6824 loss_cls_1: 3.1418 2023/01/31 09:55:49 - mmengine - INFO - Epoch(train) [4][ 980/1879] lr: 1.9320e-02 eta: 2 days, 17:01:35 time: 0.4857 data_time: 0.0333 memory: 18108 grad_norm: 4.9681 loss: 6.9228 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 3.7357 top1_acc_1: 0.3882 top5_acc_1: 0.5647 loss_cls_1: 3.1870 2023/01/31 09:55:59 - mmengine - INFO - Epoch(train) [4][1000/1879] lr: 1.9349e-02 eta: 2 days, 17:01:34 time: 0.4997 data_time: 0.0317 memory: 18108 grad_norm: 4.8692 loss: 6.9922 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.7548 top1_acc_1: 0.3176 top5_acc_1: 0.5529 loss_cls_1: 3.2374 2023/01/31 09:56:09 - mmengine - INFO - Epoch(train) [4][1020/1879] lr: 1.9377e-02 eta: 2 days, 17:01:38 time: 0.5033 data_time: 0.0328 memory: 18108 grad_norm: 4.8407 loss: 6.8284 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.6787 top1_acc_1: 0.2471 top5_acc_1: 0.5529 loss_cls_1: 3.1497 2023/01/31 09:56:19 - mmengine - INFO - Epoch(train) [4][1040/1879] lr: 1.9405e-02 eta: 2 days, 17:01:35 time: 0.4982 data_time: 0.0318 memory: 18108 grad_norm: 4.8971 loss: 6.7562 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.5081 top1_acc_1: 0.3529 top5_acc_1: 0.5882 loss_cls_1: 3.2481 2023/01/31 09:56:30 - mmengine - INFO - Epoch(train) [4][1060/1879] lr: 1.9433e-02 eta: 2 days, 17:01:46 time: 0.5086 data_time: 0.0324 memory: 18108 grad_norm: 4.8538 loss: 6.8175 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.7196 top1_acc_1: 0.3765 top5_acc_1: 0.5765 loss_cls_1: 3.0979 2023/01/31 09:56:40 - mmengine - INFO - Epoch(train) [4][1080/1879] lr: 1.9461e-02 eta: 2 days, 17:01:47 time: 0.5014 data_time: 0.0393 memory: 18108 grad_norm: 4.9339 loss: 6.9844 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.7542 top1_acc_1: 0.3059 top5_acc_1: 0.5765 loss_cls_1: 3.2302 2023/01/31 09:56:49 - mmengine - INFO - Epoch(train) [4][1100/1879] lr: 1.9490e-02 eta: 2 days, 17:01:39 time: 0.4948 data_time: 0.0312 memory: 18108 grad_norm: 4.8608 loss: 6.8804 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.6771 top1_acc_1: 0.2235 top5_acc_1: 0.4471 loss_cls_1: 3.2033 2023/01/31 09:57:00 - mmengine - INFO - Epoch(train) [4][1120/1879] lr: 1.9518e-02 eta: 2 days, 17:01:44 time: 0.5040 data_time: 0.0388 memory: 18108 grad_norm: 4.8514 loss: 7.1205 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 3.9398 top1_acc_1: 0.3294 top5_acc_1: 0.5765 loss_cls_1: 3.1807 2023/01/31 09:57:10 - mmengine - INFO - Epoch(train) [4][1140/1879] lr: 1.9546e-02 eta: 2 days, 17:02:00 time: 0.5119 data_time: 0.0346 memory: 18108 grad_norm: 4.8608 loss: 6.7652 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 3.6271 top1_acc_1: 0.3412 top5_acc_1: 0.5529 loss_cls_1: 3.1381 2023/01/31 09:57:20 - mmengine - INFO - Epoch(train) [4][1160/1879] lr: 1.9574e-02 eta: 2 days, 17:01:59 time: 0.5005 data_time: 0.0365 memory: 18108 grad_norm: 4.8448 loss: 6.8180 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.6718 top1_acc_1: 0.3529 top5_acc_1: 0.5765 loss_cls_1: 3.1463 2023/01/31 09:57:30 - mmengine - INFO - Epoch(train) [4][1180/1879] lr: 1.9602e-02 eta: 2 days, 17:02:20 time: 0.5158 data_time: 0.0280 memory: 18108 grad_norm: 4.8704 loss: 7.0188 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.9414 top1_acc_1: 0.2588 top5_acc_1: 0.5412 loss_cls_1: 3.0774 2023/01/31 09:57:40 - mmengine - INFO - Epoch(train) [4][1200/1879] lr: 1.9630e-02 eta: 2 days, 17:02:40 time: 0.5149 data_time: 0.0430 memory: 18108 grad_norm: 4.9281 loss: 6.9215 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.7660 top1_acc_1: 0.4000 top5_acc_1: 0.5765 loss_cls_1: 3.1554 2023/01/31 09:57:50 - mmengine - INFO - Epoch(train) [4][1220/1879] lr: 1.9659e-02 eta: 2 days, 17:02:39 time: 0.5004 data_time: 0.0282 memory: 18108 grad_norm: 4.8731 loss: 7.0110 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 3.7575 top1_acc_1: 0.4471 top5_acc_1: 0.6824 loss_cls_1: 3.2535 2023/01/31 09:58:00 - mmengine - INFO - Epoch(train) [4][1240/1879] lr: 1.9687e-02 eta: 2 days, 17:02:27 time: 0.4925 data_time: 0.0375 memory: 18108 grad_norm: 4.8386 loss: 6.9429 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 3.7885 top1_acc_1: 0.3176 top5_acc_1: 0.6000 loss_cls_1: 3.1544 2023/01/31 09:58:10 - mmengine - INFO - Epoch(train) [4][1260/1879] lr: 1.9715e-02 eta: 2 days, 17:02:26 time: 0.4999 data_time: 0.0280 memory: 18108 grad_norm: 4.8743 loss: 6.7141 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.6511 top1_acc_1: 0.3882 top5_acc_1: 0.6235 loss_cls_1: 3.0630 2023/01/31 09:58:20 - mmengine - INFO - Epoch(train) [4][1280/1879] lr: 1.9743e-02 eta: 2 days, 17:02:18 time: 0.4957 data_time: 0.0364 memory: 18108 grad_norm: 4.8320 loss: 6.9962 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.8660 top1_acc_1: 0.4353 top5_acc_1: 0.6471 loss_cls_1: 3.1302 2023/01/31 09:58:30 - mmengine - INFO - Epoch(train) [4][1300/1879] lr: 1.9771e-02 eta: 2 days, 17:02:04 time: 0.4907 data_time: 0.0322 memory: 18108 grad_norm: 4.7891 loss: 6.8480 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.7548 top1_acc_1: 0.4118 top5_acc_1: 0.6235 loss_cls_1: 3.0932 2023/01/31 09:58:40 - mmengine - INFO - Epoch(train) [4][1320/1879] lr: 1.9799e-02 eta: 2 days, 17:02:19 time: 0.5121 data_time: 0.0311 memory: 18108 grad_norm: 4.8139 loss: 7.0392 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.9513 top1_acc_1: 0.4118 top5_acc_1: 0.6000 loss_cls_1: 3.0879 2023/01/31 09:58:50 - mmengine - INFO - Epoch(train) [4][1340/1879] lr: 1.9828e-02 eta: 2 days, 17:02:29 time: 0.5082 data_time: 0.0349 memory: 18108 grad_norm: 4.8324 loss: 6.7841 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.5991 top1_acc_1: 0.3647 top5_acc_1: 0.5765 loss_cls_1: 3.1850 2023/01/31 09:59:00 - mmengine - INFO - Epoch(train) [4][1360/1879] lr: 1.9856e-02 eta: 2 days, 17:02:27 time: 0.4996 data_time: 0.0320 memory: 18108 grad_norm: 4.8909 loss: 6.8887 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 3.8120 top1_acc_1: 0.3647 top5_acc_1: 0.5765 loss_cls_1: 3.0767 2023/01/31 09:59:02 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 09:59:10 - mmengine - INFO - Epoch(train) [4][1380/1879] lr: 1.9884e-02 eta: 2 days, 17:02:26 time: 0.5007 data_time: 0.0330 memory: 18108 grad_norm: 4.8398 loss: 6.9775 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.8521 top1_acc_1: 0.4000 top5_acc_1: 0.5647 loss_cls_1: 3.1253 2023/01/31 09:59:21 - mmengine - INFO - Epoch(train) [4][1400/1879] lr: 1.9912e-02 eta: 2 days, 17:03:12 time: 0.5358 data_time: 0.0389 memory: 18108 grad_norm: 4.8252 loss: 6.6501 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 3.6294 top1_acc_1: 0.3294 top5_acc_1: 0.5765 loss_cls_1: 3.0207 2023/01/31 09:59:31 - mmengine - INFO - Epoch(train) [4][1420/1879] lr: 1.9940e-02 eta: 2 days, 17:03:20 time: 0.5074 data_time: 0.0326 memory: 18108 grad_norm: 4.7550 loss: 6.6481 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 3.5945 top1_acc_1: 0.3412 top5_acc_1: 0.6000 loss_cls_1: 3.0536 2023/01/31 09:59:41 - mmengine - INFO - Epoch(train) [4][1440/1879] lr: 1.9969e-02 eta: 2 days, 17:03:11 time: 0.4944 data_time: 0.0279 memory: 18108 grad_norm: 4.8728 loss: 6.8306 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.7256 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 3.1050 2023/01/31 09:59:52 - mmengine - INFO - Epoch(train) [4][1460/1879] lr: 1.9997e-02 eta: 2 days, 17:04:04 time: 0.5410 data_time: 0.0468 memory: 18108 grad_norm: 4.8492 loss: 6.8087 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.7055 top1_acc_1: 0.2941 top5_acc_1: 0.5647 loss_cls_1: 3.1032 2023/01/31 10:00:02 - mmengine - INFO - Epoch(train) [4][1480/1879] lr: 2.0025e-02 eta: 2 days, 17:03:53 time: 0.4939 data_time: 0.0280 memory: 18108 grad_norm: 4.7799 loss: 6.6080 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 3.4990 top1_acc_1: 0.3412 top5_acc_1: 0.5882 loss_cls_1: 3.1090 2023/01/31 10:00:12 - mmengine - INFO - Epoch(train) [4][1500/1879] lr: 2.0053e-02 eta: 2 days, 17:04:04 time: 0.5097 data_time: 0.0412 memory: 18108 grad_norm: 4.8740 loss: 7.0418 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.9688 top1_acc_1: 0.3529 top5_acc_1: 0.5647 loss_cls_1: 3.0730 2023/01/31 10:00:22 - mmengine - INFO - Epoch(train) [4][1520/1879] lr: 2.0081e-02 eta: 2 days, 17:04:19 time: 0.5130 data_time: 0.0296 memory: 18108 grad_norm: 4.8314 loss: 6.6458 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.5518 top1_acc_1: 0.3765 top5_acc_1: 0.6000 loss_cls_1: 3.0939 2023/01/31 10:00:33 - mmengine - INFO - Epoch(train) [4][1540/1879] lr: 2.0109e-02 eta: 2 days, 17:04:35 time: 0.5141 data_time: 0.0381 memory: 18108 grad_norm: 4.8171 loss: 6.7696 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.6858 top1_acc_1: 0.4000 top5_acc_1: 0.6235 loss_cls_1: 3.0839 2023/01/31 10:00:43 - mmengine - INFO - Epoch(train) [4][1560/1879] lr: 2.0138e-02 eta: 2 days, 17:04:30 time: 0.4984 data_time: 0.0302 memory: 18108 grad_norm: 4.7805 loss: 6.7357 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.6391 top1_acc_1: 0.2941 top5_acc_1: 0.5765 loss_cls_1: 3.0965 2023/01/31 10:00:53 - mmengine - INFO - Epoch(train) [4][1580/1879] lr: 2.0166e-02 eta: 2 days, 17:04:30 time: 0.5021 data_time: 0.0372 memory: 18108 grad_norm: 4.8896 loss: 6.9012 top1_acc_0: 0.0000 top5_acc_0: 0.1875 loss_cls_0: 3.8667 top1_acc_1: 0.4000 top5_acc_1: 0.6588 loss_cls_1: 3.0345 2023/01/31 10:01:03 - mmengine - INFO - Epoch(train) [4][1600/1879] lr: 2.0194e-02 eta: 2 days, 17:04:44 time: 0.5123 data_time: 0.0365 memory: 18108 grad_norm: 4.7952 loss: 6.8310 top1_acc_0: 0.1875 top5_acc_0: 0.1875 loss_cls_0: 3.7887 top1_acc_1: 0.3647 top5_acc_1: 0.6118 loss_cls_1: 3.0423 2023/01/31 10:01:13 - mmengine - INFO - Epoch(train) [4][1620/1879] lr: 2.0222e-02 eta: 2 days, 17:04:39 time: 0.4983 data_time: 0.0371 memory: 18108 grad_norm: 4.7890 loss: 6.7607 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.6145 top1_acc_1: 0.4000 top5_acc_1: 0.6824 loss_cls_1: 3.1462 2023/01/31 10:01:23 - mmengine - INFO - Epoch(train) [4][1640/1879] lr: 2.0250e-02 eta: 2 days, 17:04:39 time: 0.5019 data_time: 0.0299 memory: 18108 grad_norm: 4.7592 loss: 6.7471 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 3.7568 top1_acc_1: 0.3294 top5_acc_1: 0.6353 loss_cls_1: 2.9903 2023/01/31 10:01:33 - mmengine - INFO - Epoch(train) [4][1660/1879] lr: 2.0278e-02 eta: 2 days, 17:05:03 time: 0.5207 data_time: 0.0468 memory: 18108 grad_norm: 4.7575 loss: 6.8189 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.7918 top1_acc_1: 0.3647 top5_acc_1: 0.5765 loss_cls_1: 3.0271 2023/01/31 10:01:43 - mmengine - INFO - Epoch(train) [4][1680/1879] lr: 2.0307e-02 eta: 2 days, 17:05:13 time: 0.5100 data_time: 0.0310 memory: 18108 grad_norm: 4.8066 loss: 6.4658 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 3.4283 top1_acc_1: 0.3882 top5_acc_1: 0.6000 loss_cls_1: 3.0375 2023/01/31 10:01:54 - mmengine - INFO - Epoch(train) [4][1700/1879] lr: 2.0335e-02 eta: 2 days, 17:05:39 time: 0.5225 data_time: 0.0372 memory: 18108 grad_norm: 4.7815 loss: 6.6775 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.7067 top1_acc_1: 0.3412 top5_acc_1: 0.6235 loss_cls_1: 2.9709 2023/01/31 10:02:04 - mmengine - INFO - Epoch(train) [4][1720/1879] lr: 2.0363e-02 eta: 2 days, 17:05:15 time: 0.4839 data_time: 0.0363 memory: 18108 grad_norm: 4.7272 loss: 6.4916 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.4827 top1_acc_1: 0.3647 top5_acc_1: 0.5412 loss_cls_1: 3.0088 2023/01/31 10:02:14 - mmengine - INFO - Epoch(train) [4][1740/1879] lr: 2.0391e-02 eta: 2 days, 17:05:36 time: 0.5186 data_time: 0.0365 memory: 18108 grad_norm: 4.7519 loss: 6.9549 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.8416 top1_acc_1: 0.3294 top5_acc_1: 0.5059 loss_cls_1: 3.1133 2023/01/31 10:02:24 - mmengine - INFO - Epoch(train) [4][1760/1879] lr: 2.0419e-02 eta: 2 days, 17:05:11 time: 0.4830 data_time: 0.0311 memory: 18108 grad_norm: 4.7081 loss: 6.7403 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 3.6835 top1_acc_1: 0.3765 top5_acc_1: 0.5412 loss_cls_1: 3.0568 2023/01/31 10:02:33 - mmengine - INFO - Epoch(train) [4][1780/1879] lr: 2.0448e-02 eta: 2 days, 17:04:54 time: 0.4892 data_time: 0.0371 memory: 18108 grad_norm: 4.7834 loss: 6.7695 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 3.7029 top1_acc_1: 0.3294 top5_acc_1: 0.6000 loss_cls_1: 3.0666 2023/01/31 10:02:43 - mmengine - INFO - Epoch(train) [4][1800/1879] lr: 2.0476e-02 eta: 2 days, 17:04:56 time: 0.5038 data_time: 0.0370 memory: 18108 grad_norm: 4.7577 loss: 6.7066 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 3.6328 top1_acc_1: 0.2706 top5_acc_1: 0.5059 loss_cls_1: 3.0739 2023/01/31 10:02:54 - mmengine - INFO - Epoch(train) [4][1820/1879] lr: 2.0504e-02 eta: 2 days, 17:05:04 time: 0.5090 data_time: 0.0392 memory: 18108 grad_norm: 4.7692 loss: 6.7190 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.5921 top1_acc_1: 0.3176 top5_acc_1: 0.5412 loss_cls_1: 3.1270 2023/01/31 10:03:03 - mmengine - INFO - Epoch(train) [4][1840/1879] lr: 2.0532e-02 eta: 2 days, 17:04:50 time: 0.4913 data_time: 0.0306 memory: 18108 grad_norm: 4.6855 loss: 6.7713 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.6933 top1_acc_1: 0.4353 top5_acc_1: 0.6471 loss_cls_1: 3.0780 2023/01/31 10:03:14 - mmengine - INFO - Epoch(train) [4][1860/1879] lr: 2.0560e-02 eta: 2 days, 17:04:58 time: 0.5093 data_time: 0.0437 memory: 18108 grad_norm: 4.8056 loss: 6.9302 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 3.7320 top1_acc_1: 0.3412 top5_acc_1: 0.6353 loss_cls_1: 3.1982 2023/01/31 10:03:23 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 10:03:23 - mmengine - INFO - Epoch(train) [4][1879/1879] lr: 2.0587e-02 eta: 2 days, 17:04:22 time: 0.4702 data_time: 0.0270 memory: 18108 grad_norm: 4.8693 loss: 6.6058 top1_acc_0: 0.0000 top5_acc_0: 0.4286 loss_cls_0: 3.5693 top1_acc_1: 0.4471 top5_acc_1: 0.6588 loss_cls_1: 3.0364 2023/01/31 10:03:23 - mmengine - INFO - Saving checkpoint at 4 epochs 2023/01/31 10:03:34 - mmengine - INFO - Epoch(val) [4][ 20/155] eta: 0:01:04 time: 0.4779 data_time: 0.3632 memory: 1906 2023/01/31 10:03:43 - mmengine - INFO - Epoch(val) [4][ 40/155] eta: 0:00:53 time: 0.4522 data_time: 0.3412 memory: 1906 2023/01/31 10:03:52 - mmengine - INFO - Epoch(val) [4][ 60/155] eta: 0:00:42 time: 0.4250 data_time: 0.3118 memory: 1906 2023/01/31 10:04:01 - mmengine - INFO - Epoch(val) [4][ 80/155] eta: 0:00:34 time: 0.4592 data_time: 0.3474 memory: 1906 2023/01/31 10:04:10 - mmengine - INFO - Epoch(val) [4][100/155] eta: 0:00:24 time: 0.4573 data_time: 0.3454 memory: 1906 2023/01/31 10:04:19 - mmengine - INFO - Epoch(val) [4][120/155] eta: 0:00:15 time: 0.4629 data_time: 0.3532 memory: 1906 2023/01/31 10:04:28 - mmengine - INFO - Epoch(val) [4][140/155] eta: 0:00:06 time: 0.4405 data_time: 0.3307 memory: 1906 2023/01/31 10:04:36 - mmengine - INFO - Epoch(val) [4][155/155] acc/top1: 0.1792 acc/top5: 0.3999 acc/mean1: 0.1791 2023/01/31 10:04:37 - mmengine - INFO - The best checkpoint with 0.1792 acc/top1 at 4 epoch is saved to best_acc/top1_epoch_4.pth. 2023/01/31 10:04:51 - mmengine - INFO - Epoch(train) [5][ 20/1879] lr: 2.0615e-02 eta: 2 days, 17:08:01 time: 0.6763 data_time: 0.2296 memory: 18108 grad_norm: 4.7501 loss: 6.6013 top1_acc_0: 0.0625 top5_acc_0: 0.5625 loss_cls_0: 3.6085 top1_acc_1: 0.4353 top5_acc_1: 0.6353 loss_cls_1: 2.9928 2023/01/31 10:05:00 - mmengine - INFO - Epoch(train) [5][ 40/1879] lr: 2.0643e-02 eta: 2 days, 17:07:19 time: 0.4702 data_time: 0.0302 memory: 18108 grad_norm: 4.7326 loss: 6.8662 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.7581 top1_acc_1: 0.3059 top5_acc_1: 0.5059 loss_cls_1: 3.1081 2023/01/31 10:05:10 - mmengine - INFO - Epoch(train) [5][ 60/1879] lr: 2.0672e-02 eta: 2 days, 17:07:03 time: 0.4896 data_time: 0.0359 memory: 18108 grad_norm: 4.7275 loss: 6.5226 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.5652 top1_acc_1: 0.4588 top5_acc_1: 0.6706 loss_cls_1: 2.9574 2023/01/31 10:05:20 - mmengine - INFO - Epoch(train) [5][ 80/1879] lr: 2.0700e-02 eta: 2 days, 17:07:01 time: 0.5016 data_time: 0.0292 memory: 18108 grad_norm: 4.7531 loss: 6.7536 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.6646 top1_acc_1: 0.3882 top5_acc_1: 0.6941 loss_cls_1: 3.0890 2023/01/31 10:05:30 - mmengine - INFO - Epoch(train) [5][ 100/1879] lr: 2.0728e-02 eta: 2 days, 17:06:38 time: 0.4848 data_time: 0.0378 memory: 18108 grad_norm: 4.7151 loss: 6.8101 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.8299 top1_acc_1: 0.2941 top5_acc_1: 0.4824 loss_cls_1: 2.9802 2023/01/31 10:05:39 - mmengine - INFO - Epoch(train) [5][ 120/1879] lr: 2.0756e-02 eta: 2 days, 17:06:06 time: 0.4773 data_time: 0.0318 memory: 18108 grad_norm: 4.6767 loss: 6.6120 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.6294 top1_acc_1: 0.3412 top5_acc_1: 0.6000 loss_cls_1: 2.9826 2023/01/31 10:05:50 - mmengine - INFO - Epoch(train) [5][ 140/1879] lr: 2.0784e-02 eta: 2 days, 17:06:32 time: 0.5242 data_time: 0.0452 memory: 18108 grad_norm: 4.7236 loss: 6.5898 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.5642 top1_acc_1: 0.3647 top5_acc_1: 0.6824 loss_cls_1: 3.0256 2023/01/31 10:05:59 - mmengine - INFO - Epoch(train) [5][ 160/1879] lr: 2.0812e-02 eta: 2 days, 17:06:04 time: 0.4802 data_time: 0.0299 memory: 18108 grad_norm: 4.7874 loss: 6.6562 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.6678 top1_acc_1: 0.3176 top5_acc_1: 0.5647 loss_cls_1: 2.9884 2023/01/31 10:06:09 - mmengine - INFO - Epoch(train) [5][ 180/1879] lr: 2.0841e-02 eta: 2 days, 17:05:44 time: 0.4873 data_time: 0.0363 memory: 18108 grad_norm: 4.7335 loss: 6.6526 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 3.6822 top1_acc_1: 0.3412 top5_acc_1: 0.5765 loss_cls_1: 2.9704 2023/01/31 10:06:19 - mmengine - INFO - Epoch(train) [5][ 200/1879] lr: 2.0869e-02 eta: 2 days, 17:05:49 time: 0.5071 data_time: 0.0316 memory: 18108 grad_norm: 4.6846 loss: 6.6231 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.6084 top1_acc_1: 0.3882 top5_acc_1: 0.6706 loss_cls_1: 3.0147 2023/01/31 10:06:29 - mmengine - INFO - Epoch(train) [5][ 220/1879] lr: 2.0897e-02 eta: 2 days, 17:05:56 time: 0.5091 data_time: 0.0467 memory: 18108 grad_norm: 4.7232 loss: 6.6028 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.5289 top1_acc_1: 0.3294 top5_acc_1: 0.5529 loss_cls_1: 3.0739 2023/01/31 10:06:39 - mmengine - INFO - Epoch(train) [5][ 240/1879] lr: 2.0925e-02 eta: 2 days, 17:05:20 time: 0.4735 data_time: 0.0298 memory: 18108 grad_norm: 4.7358 loss: 6.6497 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 3.7523 top1_acc_1: 0.3529 top5_acc_1: 0.5176 loss_cls_1: 2.8975 2023/01/31 10:06:49 - mmengine - INFO - Epoch(train) [5][ 260/1879] lr: 2.0953e-02 eta: 2 days, 17:05:21 time: 0.5042 data_time: 0.0359 memory: 18108 grad_norm: 4.7090 loss: 6.7649 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 3.7793 top1_acc_1: 0.3176 top5_acc_1: 0.5882 loss_cls_1: 2.9856 2023/01/31 10:06:59 - mmengine - INFO - Epoch(train) [5][ 280/1879] lr: 2.0981e-02 eta: 2 days, 17:04:55 time: 0.4820 data_time: 0.0302 memory: 18108 grad_norm: 4.7366 loss: 6.4106 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.3936 top1_acc_1: 0.4000 top5_acc_1: 0.6588 loss_cls_1: 3.0170 2023/01/31 10:07:09 - mmengine - INFO - Epoch(train) [5][ 300/1879] lr: 2.1010e-02 eta: 2 days, 17:04:49 time: 0.4981 data_time: 0.0357 memory: 18108 grad_norm: 4.8073 loss: 6.8249 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 3.8380 top1_acc_1: 0.4118 top5_acc_1: 0.5882 loss_cls_1: 2.9869 2023/01/31 10:07:18 - mmengine - INFO - Epoch(train) [5][ 320/1879] lr: 2.1038e-02 eta: 2 days, 17:04:08 time: 0.4690 data_time: 0.0324 memory: 18108 grad_norm: 4.6975 loss: 6.8248 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.8347 top1_acc_1: 0.3647 top5_acc_1: 0.6000 loss_cls_1: 2.9902 2023/01/31 10:07:28 - mmengine - INFO - Epoch(train) [5][ 340/1879] lr: 2.1066e-02 eta: 2 days, 17:04:09 time: 0.5043 data_time: 0.0344 memory: 18108 grad_norm: 4.6599 loss: 6.5489 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.5301 top1_acc_1: 0.3529 top5_acc_1: 0.5647 loss_cls_1: 3.0188 2023/01/31 10:07:38 - mmengine - INFO - Epoch(train) [5][ 360/1879] lr: 2.1094e-02 eta: 2 days, 17:03:52 time: 0.4891 data_time: 0.0439 memory: 18108 grad_norm: 4.6998 loss: 6.6042 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.5951 top1_acc_1: 0.3647 top5_acc_1: 0.6941 loss_cls_1: 3.0090 2023/01/31 10:07:48 - mmengine - INFO - Epoch(train) [5][ 380/1879] lr: 2.1122e-02 eta: 2 days, 17:03:25 time: 0.4810 data_time: 0.0348 memory: 18108 grad_norm: 4.7646 loss: 6.5297 top1_acc_0: 0.0625 top5_acc_0: 0.3125 loss_cls_0: 3.6651 top1_acc_1: 0.4000 top5_acc_1: 0.7294 loss_cls_1: 2.8646 2023/01/31 10:07:58 - mmengine - INFO - Epoch(train) [5][ 400/1879] lr: 2.1151e-02 eta: 2 days, 17:03:28 time: 0.5060 data_time: 0.0304 memory: 18108 grad_norm: 4.6808 loss: 6.6399 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 3.7646 top1_acc_1: 0.3765 top5_acc_1: 0.6824 loss_cls_1: 2.8753 2023/01/31 10:08:08 - mmengine - INFO - Epoch(train) [5][ 420/1879] lr: 2.1179e-02 eta: 2 days, 17:03:16 time: 0.4933 data_time: 0.0492 memory: 18108 grad_norm: 4.6647 loss: 6.6985 top1_acc_0: 0.0000 top5_acc_0: 0.3125 loss_cls_0: 3.6512 top1_acc_1: 0.2941 top5_acc_1: 0.5882 loss_cls_1: 3.0473 2023/01/31 10:08:17 - mmengine - INFO - Epoch(train) [5][ 440/1879] lr: 2.1207e-02 eta: 2 days, 17:02:47 time: 0.4790 data_time: 0.0308 memory: 18108 grad_norm: 4.7071 loss: 6.3712 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.4610 top1_acc_1: 0.3412 top5_acc_1: 0.6000 loss_cls_1: 2.9102 2023/01/31 10:08:27 - mmengine - INFO - Epoch(train) [5][ 460/1879] lr: 2.1235e-02 eta: 2 days, 17:02:46 time: 0.5027 data_time: 0.0361 memory: 18108 grad_norm: 4.6811 loss: 6.6462 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.6180 top1_acc_1: 0.4235 top5_acc_1: 0.5529 loss_cls_1: 3.0283 2023/01/31 10:08:37 - mmengine - INFO - Epoch(train) [5][ 480/1879] lr: 2.1263e-02 eta: 2 days, 17:02:20 time: 0.4807 data_time: 0.0304 memory: 18108 grad_norm: 4.7188 loss: 6.4666 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 3.5081 top1_acc_1: 0.3765 top5_acc_1: 0.5529 loss_cls_1: 2.9585 2023/01/31 10:08:39 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 10:08:47 - mmengine - INFO - Epoch(train) [5][ 500/1879] lr: 2.1291e-02 eta: 2 days, 17:02:05 time: 0.4913 data_time: 0.0447 memory: 18108 grad_norm: 4.7071 loss: 6.6160 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.5220 top1_acc_1: 0.2941 top5_acc_1: 0.5765 loss_cls_1: 3.0940 2023/01/31 10:08:56 - mmengine - INFO - Epoch(train) [5][ 520/1879] lr: 2.1320e-02 eta: 2 days, 17:01:50 time: 0.4903 data_time: 0.0326 memory: 18108 grad_norm: 4.7167 loss: 6.5052 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.5727 top1_acc_1: 0.3882 top5_acc_1: 0.6353 loss_cls_1: 2.9325 2023/01/31 10:09:06 - mmengine - INFO - Epoch(train) [5][ 540/1879] lr: 2.1348e-02 eta: 2 days, 17:01:46 time: 0.5000 data_time: 0.0374 memory: 18108 grad_norm: 4.7309 loss: 6.6949 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.6609 top1_acc_1: 0.2941 top5_acc_1: 0.5294 loss_cls_1: 3.0340 2023/01/31 10:09:16 - mmengine - INFO - Epoch(train) [5][ 560/1879] lr: 2.1376e-02 eta: 2 days, 17:01:26 time: 0.4864 data_time: 0.0311 memory: 18108 grad_norm: 4.6324 loss: 6.4574 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 3.4877 top1_acc_1: 0.4235 top5_acc_1: 0.6588 loss_cls_1: 2.9697 2023/01/31 10:09:26 - mmengine - INFO - Epoch(train) [5][ 580/1879] lr: 2.1404e-02 eta: 2 days, 17:01:31 time: 0.5081 data_time: 0.0435 memory: 18108 grad_norm: 4.6750 loss: 6.4352 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 3.5000 top1_acc_1: 0.3059 top5_acc_1: 0.5765 loss_cls_1: 2.9352 2023/01/31 10:09:36 - mmengine - INFO - Epoch(train) [5][ 600/1879] lr: 2.1432e-02 eta: 2 days, 17:01:30 time: 0.5021 data_time: 0.0298 memory: 18108 grad_norm: 4.6898 loss: 6.5903 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.6358 top1_acc_1: 0.4118 top5_acc_1: 0.6000 loss_cls_1: 2.9546 2023/01/31 10:09:46 - mmengine - INFO - Epoch(train) [5][ 620/1879] lr: 2.1460e-02 eta: 2 days, 17:01:29 time: 0.5031 data_time: 0.0361 memory: 18108 grad_norm: 4.6273 loss: 6.4276 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.4708 top1_acc_1: 0.3294 top5_acc_1: 0.5529 loss_cls_1: 2.9568 2023/01/31 10:09:56 - mmengine - INFO - Epoch(train) [5][ 640/1879] lr: 2.1489e-02 eta: 2 days, 17:01:28 time: 0.5025 data_time: 0.0408 memory: 18108 grad_norm: 4.6795 loss: 6.5661 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.6354 top1_acc_1: 0.3647 top5_acc_1: 0.5529 loss_cls_1: 2.9307 2023/01/31 10:10:07 - mmengine - INFO - Epoch(train) [5][ 660/1879] lr: 2.1517e-02 eta: 2 days, 17:01:44 time: 0.5168 data_time: 0.0364 memory: 18108 grad_norm: 4.6812 loss: 6.7416 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.8622 top1_acc_1: 0.3765 top5_acc_1: 0.6353 loss_cls_1: 2.8795 2023/01/31 10:10:17 - mmengine - INFO - Epoch(train) [5][ 680/1879] lr: 2.1545e-02 eta: 2 days, 17:01:38 time: 0.4986 data_time: 0.0301 memory: 18108 grad_norm: 4.6380 loss: 6.6285 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.6495 top1_acc_1: 0.4471 top5_acc_1: 0.7412 loss_cls_1: 2.9790 2023/01/31 10:10:27 - mmengine - INFO - Epoch(train) [5][ 700/1879] lr: 2.1573e-02 eta: 2 days, 17:01:33 time: 0.4994 data_time: 0.0366 memory: 18108 grad_norm: 4.7196 loss: 6.6009 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 3.5653 top1_acc_1: 0.3647 top5_acc_1: 0.5765 loss_cls_1: 3.0356 2023/01/31 10:10:37 - mmengine - INFO - Epoch(train) [5][ 720/1879] lr: 2.1601e-02 eta: 2 days, 17:01:41 time: 0.5111 data_time: 0.0313 memory: 18108 grad_norm: 4.6518 loss: 6.7709 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.7629 top1_acc_1: 0.3765 top5_acc_1: 0.5882 loss_cls_1: 3.0080 2023/01/31 10:10:47 - mmengine - INFO - Epoch(train) [5][ 740/1879] lr: 2.1629e-02 eta: 2 days, 17:01:37 time: 0.5003 data_time: 0.0366 memory: 18108 grad_norm: 4.6927 loss: 6.5727 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.6327 top1_acc_1: 0.2824 top5_acc_1: 0.5059 loss_cls_1: 2.9400 2023/01/31 10:10:57 - mmengine - INFO - Epoch(train) [5][ 760/1879] lr: 2.1658e-02 eta: 2 days, 17:01:38 time: 0.5048 data_time: 0.0296 memory: 18108 grad_norm: 4.7012 loss: 6.7291 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.6555 top1_acc_1: 0.3294 top5_acc_1: 0.5647 loss_cls_1: 3.0736 2023/01/31 10:11:07 - mmengine - INFO - Epoch(train) [5][ 780/1879] lr: 2.1686e-02 eta: 2 days, 17:01:47 time: 0.5114 data_time: 0.0460 memory: 18108 grad_norm: 4.6206 loss: 6.6128 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 3.6297 top1_acc_1: 0.3412 top5_acc_1: 0.6588 loss_cls_1: 2.9832 2023/01/31 10:11:17 - mmengine - INFO - Epoch(train) [5][ 800/1879] lr: 2.1714e-02 eta: 2 days, 17:01:49 time: 0.5061 data_time: 0.0303 memory: 18108 grad_norm: 4.6395 loss: 6.3551 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.4342 top1_acc_1: 0.3529 top5_acc_1: 0.5412 loss_cls_1: 2.9209 2023/01/31 10:11:27 - mmengine - INFO - Epoch(train) [5][ 820/1879] lr: 2.1742e-02 eta: 2 days, 17:01:45 time: 0.4998 data_time: 0.0367 memory: 18108 grad_norm: 4.6298 loss: 6.5993 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 3.6212 top1_acc_1: 0.3882 top5_acc_1: 0.6235 loss_cls_1: 2.9781 2023/01/31 10:11:38 - mmengine - INFO - Epoch(train) [5][ 840/1879] lr: 2.1770e-02 eta: 2 days, 17:02:05 time: 0.5217 data_time: 0.0484 memory: 18108 grad_norm: 4.6064 loss: 6.5006 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.5373 top1_acc_1: 0.3294 top5_acc_1: 0.6000 loss_cls_1: 2.9633 2023/01/31 10:11:48 - mmengine - INFO - Epoch(train) [5][ 860/1879] lr: 2.1799e-02 eta: 2 days, 17:02:07 time: 0.5059 data_time: 0.0383 memory: 18108 grad_norm: 4.6757 loss: 6.7573 top1_acc_0: 0.0625 top5_acc_0: 0.2500 loss_cls_0: 3.7494 top1_acc_1: 0.3882 top5_acc_1: 0.6706 loss_cls_1: 3.0079 2023/01/31 10:11:58 - mmengine - INFO - Epoch(train) [5][ 880/1879] lr: 2.1827e-02 eta: 2 days, 17:01:42 time: 0.4826 data_time: 0.0285 memory: 18108 grad_norm: 4.6051 loss: 6.5749 top1_acc_0: 0.2500 top5_acc_0: 0.2500 loss_cls_0: 3.6573 top1_acc_1: 0.3412 top5_acc_1: 0.6235 loss_cls_1: 2.9176 2023/01/31 10:12:08 - mmengine - INFO - Epoch(train) [5][ 900/1879] lr: 2.1855e-02 eta: 2 days, 17:01:38 time: 0.5001 data_time: 0.0368 memory: 18108 grad_norm: 4.6070 loss: 6.5456 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.4339 top1_acc_1: 0.3529 top5_acc_1: 0.6353 loss_cls_1: 3.1117 2023/01/31 10:12:17 - mmengine - INFO - Epoch(train) [5][ 920/1879] lr: 2.1883e-02 eta: 2 days, 17:01:12 time: 0.4809 data_time: 0.0263 memory: 18108 grad_norm: 4.6462 loss: 6.4158 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.5172 top1_acc_1: 0.4471 top5_acc_1: 0.6118 loss_cls_1: 2.8986 2023/01/31 10:12:27 - mmengine - INFO - Epoch(train) [5][ 940/1879] lr: 2.1911e-02 eta: 2 days, 17:01:02 time: 0.4954 data_time: 0.0363 memory: 18108 grad_norm: 4.6317 loss: 6.5925 top1_acc_0: 0.3750 top5_acc_0: 0.3750 loss_cls_0: 3.6107 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 2.9819 2023/01/31 10:12:37 - mmengine - INFO - Epoch(train) [5][ 960/1879] lr: 2.1939e-02 eta: 2 days, 17:00:45 time: 0.4891 data_time: 0.0309 memory: 18108 grad_norm: 4.6171 loss: 6.7168 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.7811 top1_acc_1: 0.3412 top5_acc_1: 0.6235 loss_cls_1: 2.9357 2023/01/31 10:12:47 - mmengine - INFO - Epoch(train) [5][ 980/1879] lr: 2.1968e-02 eta: 2 days, 17:00:57 time: 0.5146 data_time: 0.0388 memory: 18108 grad_norm: 4.5537 loss: 6.6706 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.6732 top1_acc_1: 0.3294 top5_acc_1: 0.5882 loss_cls_1: 2.9975 2023/01/31 10:12:57 - mmengine - INFO - Epoch(train) [5][1000/1879] lr: 2.1996e-02 eta: 2 days, 17:00:50 time: 0.4982 data_time: 0.0312 memory: 18108 grad_norm: 4.6290 loss: 6.5307 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.6603 top1_acc_1: 0.4118 top5_acc_1: 0.6235 loss_cls_1: 2.8704 2023/01/31 10:13:07 - mmengine - INFO - Epoch(train) [5][1020/1879] lr: 2.2024e-02 eta: 2 days, 17:00:44 time: 0.4984 data_time: 0.0308 memory: 18108 grad_norm: 4.6170 loss: 6.8278 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.8591 top1_acc_1: 0.2824 top5_acc_1: 0.4824 loss_cls_1: 2.9687 2023/01/31 10:13:18 - mmengine - INFO - Epoch(train) [5][1040/1879] lr: 2.2052e-02 eta: 2 days, 17:01:07 time: 0.5252 data_time: 0.0371 memory: 18108 grad_norm: 4.6130 loss: 6.5062 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.5920 top1_acc_1: 0.4588 top5_acc_1: 0.6353 loss_cls_1: 2.9143 2023/01/31 10:13:28 - mmengine - INFO - Epoch(train) [5][1060/1879] lr: 2.2080e-02 eta: 2 days, 17:01:00 time: 0.4987 data_time: 0.0323 memory: 18108 grad_norm: 4.5808 loss: 6.6235 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.6613 top1_acc_1: 0.3412 top5_acc_1: 0.5765 loss_cls_1: 2.9622 2023/01/31 10:13:38 - mmengine - INFO - Epoch(train) [5][1080/1879] lr: 2.2108e-02 eta: 2 days, 17:00:47 time: 0.4926 data_time: 0.0320 memory: 18108 grad_norm: 4.5948 loss: 6.5744 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.6334 top1_acc_1: 0.4000 top5_acc_1: 0.6471 loss_cls_1: 2.9410 2023/01/31 10:13:48 - mmengine - INFO - Epoch(train) [5][1100/1879] lr: 2.2137e-02 eta: 2 days, 17:01:00 time: 0.5156 data_time: 0.0364 memory: 18108 grad_norm: 4.6282 loss: 6.6343 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.6676 top1_acc_1: 0.3882 top5_acc_1: 0.6824 loss_cls_1: 2.9666 2023/01/31 10:13:58 - mmengine - INFO - Epoch(train) [5][1120/1879] lr: 2.2165e-02 eta: 2 days, 17:00:57 time: 0.5025 data_time: 0.0324 memory: 18108 grad_norm: 4.6273 loss: 6.8019 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.8331 top1_acc_1: 0.3647 top5_acc_1: 0.6588 loss_cls_1: 2.9688 2023/01/31 10:14:08 - mmengine - INFO - Epoch(train) [5][1140/1879] lr: 2.2193e-02 eta: 2 days, 17:00:52 time: 0.4997 data_time: 0.0287 memory: 18108 grad_norm: 4.5367 loss: 6.4697 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.5210 top1_acc_1: 0.3882 top5_acc_1: 0.6706 loss_cls_1: 2.9487 2023/01/31 10:14:18 - mmengine - INFO - Epoch(train) [5][1160/1879] lr: 2.2221e-02 eta: 2 days, 17:00:54 time: 0.5066 data_time: 0.0326 memory: 18108 grad_norm: 4.5966 loss: 6.3975 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 3.4948 top1_acc_1: 0.2471 top5_acc_1: 0.4706 loss_cls_1: 2.9027 2023/01/31 10:14:28 - mmengine - INFO - Epoch(train) [5][1180/1879] lr: 2.2249e-02 eta: 2 days, 17:00:55 time: 0.5052 data_time: 0.0355 memory: 18108 grad_norm: 4.6202 loss: 6.4150 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 3.5693 top1_acc_1: 0.3765 top5_acc_1: 0.5529 loss_cls_1: 2.8457 2023/01/31 10:14:38 - mmengine - INFO - Epoch(train) [5][1200/1879] lr: 2.2278e-02 eta: 2 days, 17:00:49 time: 0.4989 data_time: 0.0327 memory: 18108 grad_norm: 4.5555 loss: 6.3761 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 3.5529 top1_acc_1: 0.3647 top5_acc_1: 0.6353 loss_cls_1: 2.8232 2023/01/31 10:14:48 - mmengine - INFO - Epoch(train) [5][1220/1879] lr: 2.2306e-02 eta: 2 days, 17:00:44 time: 0.5000 data_time: 0.0296 memory: 18108 grad_norm: 4.5282 loss: 6.5500 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.6043 top1_acc_1: 0.3882 top5_acc_1: 0.6353 loss_cls_1: 2.9457 2023/01/31 10:14:58 - mmengine - INFO - Epoch(train) [5][1240/1879] lr: 2.2334e-02 eta: 2 days, 17:00:50 time: 0.5106 data_time: 0.0372 memory: 18108 grad_norm: 4.5788 loss: 6.5464 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.5880 top1_acc_1: 0.3647 top5_acc_1: 0.5882 loss_cls_1: 2.9584 2023/01/31 10:15:08 - mmengine - INFO - Epoch(train) [5][1260/1879] lr: 2.2362e-02 eta: 2 days, 17:00:37 time: 0.4927 data_time: 0.0291 memory: 18108 grad_norm: 4.5368 loss: 6.4636 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.4487 top1_acc_1: 0.3765 top5_acc_1: 0.6235 loss_cls_1: 3.0149 2023/01/31 10:15:18 - mmengine - INFO - Epoch(train) [5][1280/1879] lr: 2.2390e-02 eta: 2 days, 17:00:22 time: 0.4911 data_time: 0.0344 memory: 18108 grad_norm: 4.6080 loss: 6.5344 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 3.5905 top1_acc_1: 0.4118 top5_acc_1: 0.6824 loss_cls_1: 2.9439 2023/01/31 10:15:28 - mmengine - INFO - Epoch(train) [5][1300/1879] lr: 2.2418e-02 eta: 2 days, 17:00:37 time: 0.5191 data_time: 0.0293 memory: 18108 grad_norm: 4.5874 loss: 6.6021 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 3.6869 top1_acc_1: 0.3529 top5_acc_1: 0.6706 loss_cls_1: 2.9152 2023/01/31 10:15:38 - mmengine - INFO - Epoch(train) [5][1320/1879] lr: 2.2447e-02 eta: 2 days, 17:00:29 time: 0.4967 data_time: 0.0421 memory: 18108 grad_norm: 4.6174 loss: 6.4872 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.6300 top1_acc_1: 0.4118 top5_acc_1: 0.6471 loss_cls_1: 2.8571 2023/01/31 10:15:48 - mmengine - INFO - Epoch(train) [5][1340/1879] lr: 2.2475e-02 eta: 2 days, 17:00:25 time: 0.5017 data_time: 0.0285 memory: 18108 grad_norm: 4.5118 loss: 6.4041 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.5184 top1_acc_1: 0.4471 top5_acc_1: 0.6706 loss_cls_1: 2.8858 2023/01/31 10:15:59 - mmengine - INFO - Epoch(train) [5][1360/1879] lr: 2.2503e-02 eta: 2 days, 17:00:44 time: 0.5225 data_time: 0.0340 memory: 18108 grad_norm: 4.5424 loss: 6.4784 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.5339 top1_acc_1: 0.3882 top5_acc_1: 0.6588 loss_cls_1: 2.9445 2023/01/31 10:16:09 - mmengine - INFO - Epoch(train) [5][1380/1879] lr: 2.2531e-02 eta: 2 days, 17:00:26 time: 0.4879 data_time: 0.0307 memory: 18108 grad_norm: 4.5071 loss: 6.4475 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 3.5596 top1_acc_1: 0.3412 top5_acc_1: 0.6118 loss_cls_1: 2.8878 2023/01/31 10:16:18 - mmengine - INFO - Epoch(train) [5][1400/1879] lr: 2.2559e-02 eta: 2 days, 17:00:14 time: 0.4938 data_time: 0.0421 memory: 18108 grad_norm: 4.5564 loss: 6.4276 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.5469 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.8807 2023/01/31 10:16:28 - mmengine - INFO - Epoch(train) [5][1420/1879] lr: 2.2587e-02 eta: 2 days, 17:00:06 time: 0.4977 data_time: 0.0302 memory: 18108 grad_norm: 4.5880 loss: 6.5441 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.6274 top1_acc_1: 0.2941 top5_acc_1: 0.6000 loss_cls_1: 2.9167 2023/01/31 10:16:39 - mmengine - INFO - Epoch(train) [5][1440/1879] lr: 2.2616e-02 eta: 2 days, 17:00:16 time: 0.5143 data_time: 0.0347 memory: 18108 grad_norm: 4.5701 loss: 6.3641 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.5008 top1_acc_1: 0.3412 top5_acc_1: 0.6000 loss_cls_1: 2.8633 2023/01/31 10:16:49 - mmengine - INFO - Epoch(train) [5][1460/1879] lr: 2.2644e-02 eta: 2 days, 17:00:27 time: 0.5161 data_time: 0.0296 memory: 18108 grad_norm: 4.5153 loss: 6.3480 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.4599 top1_acc_1: 0.3765 top5_acc_1: 0.6588 loss_cls_1: 2.8881 2023/01/31 10:16:59 - mmengine - INFO - Epoch(train) [5][1480/1879] lr: 2.2672e-02 eta: 2 days, 17:00:27 time: 0.5045 data_time: 0.0344 memory: 18108 grad_norm: 4.5488 loss: 6.5450 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 3.7093 top1_acc_1: 0.4118 top5_acc_1: 0.6471 loss_cls_1: 2.8357 2023/01/31 10:17:01 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 10:17:10 - mmengine - INFO - Epoch(train) [5][1500/1879] lr: 2.2700e-02 eta: 2 days, 17:00:49 time: 0.5265 data_time: 0.0329 memory: 18108 grad_norm: 4.5603 loss: 6.6313 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 3.6052 top1_acc_1: 0.4353 top5_acc_1: 0.6588 loss_cls_1: 3.0261 2023/01/31 10:17:20 - mmengine - INFO - Epoch(train) [5][1520/1879] lr: 2.2728e-02 eta: 2 days, 17:00:43 time: 0.5001 data_time: 0.0339 memory: 18108 grad_norm: 4.5386 loss: 6.1508 top1_acc_0: 0.1250 top5_acc_0: 0.6875 loss_cls_0: 3.2956 top1_acc_1: 0.3765 top5_acc_1: 0.5765 loss_cls_1: 2.8553 2023/01/31 10:17:30 - mmengine - INFO - Epoch(train) [5][1540/1879] lr: 2.2757e-02 eta: 2 days, 17:00:45 time: 0.5075 data_time: 0.0288 memory: 18108 grad_norm: 4.5059 loss: 6.3709 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.4950 top1_acc_1: 0.4235 top5_acc_1: 0.6471 loss_cls_1: 2.8759 2023/01/31 10:17:40 - mmengine - INFO - Epoch(train) [5][1560/1879] lr: 2.2785e-02 eta: 2 days, 17:01:14 time: 0.5327 data_time: 0.0330 memory: 18108 grad_norm: 4.5224 loss: 6.2978 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 3.4366 top1_acc_1: 0.4706 top5_acc_1: 0.6353 loss_cls_1: 2.8612 2023/01/31 10:17:51 - mmengine - INFO - Epoch(train) [5][1580/1879] lr: 2.2813e-02 eta: 2 days, 17:01:16 time: 0.5074 data_time: 0.0297 memory: 18108 grad_norm: 4.5271 loss: 6.6053 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 3.7449 top1_acc_1: 0.4118 top5_acc_1: 0.6118 loss_cls_1: 2.8605 2023/01/31 10:18:01 - mmengine - INFO - Epoch(train) [5][1600/1879] lr: 2.2841e-02 eta: 2 days, 17:01:25 time: 0.5145 data_time: 0.0322 memory: 18108 grad_norm: 4.5354 loss: 6.2783 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 3.4444 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 2.8339 2023/01/31 10:18:11 - mmengine - INFO - Epoch(train) [5][1620/1879] lr: 2.2869e-02 eta: 2 days, 17:01:27 time: 0.5080 data_time: 0.0320 memory: 18108 grad_norm: 4.5414 loss: 6.6010 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.7092 top1_acc_1: 0.3882 top5_acc_1: 0.6118 loss_cls_1: 2.8918 2023/01/31 10:18:21 - mmengine - INFO - Epoch(train) [5][1640/1879] lr: 2.2897e-02 eta: 2 days, 17:01:41 time: 0.5190 data_time: 0.0325 memory: 18108 grad_norm: 4.4742 loss: 6.2618 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.4111 top1_acc_1: 0.4353 top5_acc_1: 0.6235 loss_cls_1: 2.8507 2023/01/31 10:18:32 - mmengine - INFO - Epoch(train) [5][1660/1879] lr: 2.2926e-02 eta: 2 days, 17:01:48 time: 0.5129 data_time: 0.0299 memory: 18108 grad_norm: 4.5614 loss: 6.5854 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 3.7106 top1_acc_1: 0.4353 top5_acc_1: 0.6471 loss_cls_1: 2.8748 2023/01/31 10:18:42 - mmengine - INFO - Epoch(train) [5][1680/1879] lr: 2.2954e-02 eta: 2 days, 17:01:57 time: 0.5139 data_time: 0.0473 memory: 18108 grad_norm: 4.5193 loss: 6.4241 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 3.5498 top1_acc_1: 0.3529 top5_acc_1: 0.5765 loss_cls_1: 2.8743 2023/01/31 10:18:52 - mmengine - INFO - Epoch(train) [5][1700/1879] lr: 2.2982e-02 eta: 2 days, 17:02:02 time: 0.5111 data_time: 0.0297 memory: 18108 grad_norm: 4.5094 loss: 6.4749 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.6451 top1_acc_1: 0.3765 top5_acc_1: 0.6706 loss_cls_1: 2.8298 2023/01/31 10:19:02 - mmengine - INFO - Epoch(train) [5][1720/1879] lr: 2.3010e-02 eta: 2 days, 17:01:58 time: 0.5015 data_time: 0.0327 memory: 18108 grad_norm: 4.5127 loss: 6.3860 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.5098 top1_acc_1: 0.3882 top5_acc_1: 0.5765 loss_cls_1: 2.8762 2023/01/31 10:19:12 - mmengine - INFO - Epoch(train) [5][1740/1879] lr: 2.3038e-02 eta: 2 days, 17:01:57 time: 0.5051 data_time: 0.0305 memory: 18108 grad_norm: 4.5158 loss: 6.4470 top1_acc_0: 0.0625 top5_acc_0: 0.2500 loss_cls_0: 3.5755 top1_acc_1: 0.4235 top5_acc_1: 0.7059 loss_cls_1: 2.8715 2023/01/31 10:19:23 - mmengine - INFO - Epoch(train) [5][1760/1879] lr: 2.3066e-02 eta: 2 days, 17:02:07 time: 0.5159 data_time: 0.0404 memory: 18108 grad_norm: 4.4678 loss: 6.5290 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.6202 top1_acc_1: 0.4588 top5_acc_1: 0.6824 loss_cls_1: 2.9088 2023/01/31 10:19:33 - mmengine - INFO - Epoch(train) [5][1780/1879] lr: 2.3095e-02 eta: 2 days, 17:02:01 time: 0.5004 data_time: 0.0331 memory: 18108 grad_norm: 4.5417 loss: 6.3909 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 3.5488 top1_acc_1: 0.4824 top5_acc_1: 0.6941 loss_cls_1: 2.8421 2023/01/31 10:19:43 - mmengine - INFO - Epoch(train) [5][1800/1879] lr: 2.3123e-02 eta: 2 days, 17:01:50 time: 0.4949 data_time: 0.0295 memory: 18108 grad_norm: 4.5499 loss: 6.6063 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.7047 top1_acc_1: 0.3412 top5_acc_1: 0.6471 loss_cls_1: 2.9016 2023/01/31 10:19:53 - mmengine - INFO - Epoch(train) [5][1820/1879] lr: 2.3151e-02 eta: 2 days, 17:01:46 time: 0.5022 data_time: 0.0307 memory: 18108 grad_norm: 4.5328 loss: 6.4229 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.4513 top1_acc_1: 0.3294 top5_acc_1: 0.5294 loss_cls_1: 2.9716 2023/01/31 10:20:03 - mmengine - INFO - Epoch(train) [5][1840/1879] lr: 2.3179e-02 eta: 2 days, 17:01:46 time: 0.5065 data_time: 0.0403 memory: 18108 grad_norm: 4.4373 loss: 6.3422 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.4823 top1_acc_1: 0.4471 top5_acc_1: 0.6471 loss_cls_1: 2.8599 2023/01/31 10:20:13 - mmengine - INFO - Epoch(train) [5][1860/1879] lr: 2.3207e-02 eta: 2 days, 17:01:32 time: 0.4929 data_time: 0.0324 memory: 18108 grad_norm: 4.4657 loss: 6.3957 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.4706 top1_acc_1: 0.4471 top5_acc_1: 0.6471 loss_cls_1: 2.9250 2023/01/31 10:20:22 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 10:20:22 - mmengine - INFO - Epoch(train) [5][1879/1879] lr: 2.3234e-02 eta: 2 days, 17:01:09 time: 0.4803 data_time: 0.0309 memory: 18108 grad_norm: 4.6243 loss: 6.3346 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 3.5042 top1_acc_1: 0.4471 top5_acc_1: 0.5882 loss_cls_1: 2.8304 2023/01/31 10:20:36 - mmengine - INFO - Epoch(train) [6][ 20/1879] lr: 2.3262e-02 eta: 2 days, 17:04:21 time: 0.6977 data_time: 0.2598 memory: 18108 grad_norm: 4.4668 loss: 6.3400 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.4015 top1_acc_1: 0.2941 top5_acc_1: 0.5294 loss_cls_1: 2.9385 2023/01/31 10:20:46 - mmengine - INFO - Epoch(train) [6][ 40/1879] lr: 2.3290e-02 eta: 2 days, 17:03:42 time: 0.4674 data_time: 0.0307 memory: 18108 grad_norm: 4.5147 loss: 6.2977 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.5202 top1_acc_1: 0.4824 top5_acc_1: 0.6824 loss_cls_1: 2.7775 2023/01/31 10:20:55 - mmengine - INFO - Epoch(train) [6][ 60/1879] lr: 2.3319e-02 eta: 2 days, 17:03:06 time: 0.4713 data_time: 0.0358 memory: 18108 grad_norm: 4.5050 loss: 6.1032 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.3171 top1_acc_1: 0.3294 top5_acc_1: 0.6941 loss_cls_1: 2.7862 2023/01/31 10:21:05 - mmengine - INFO - Epoch(train) [6][ 80/1879] lr: 2.3347e-02 eta: 2 days, 17:03:07 time: 0.5075 data_time: 0.0387 memory: 18108 grad_norm: 4.4783 loss: 6.4922 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 3.6628 top1_acc_1: 0.3529 top5_acc_1: 0.5412 loss_cls_1: 2.8294 2023/01/31 10:21:15 - mmengine - INFO - Epoch(train) [6][ 100/1879] lr: 2.3375e-02 eta: 2 days, 17:02:30 time: 0.4692 data_time: 0.0349 memory: 18108 grad_norm: 4.4576 loss: 6.6877 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.8021 top1_acc_1: 0.4118 top5_acc_1: 0.6353 loss_cls_1: 2.8857 2023/01/31 10:21:24 - mmengine - INFO - Epoch(train) [6][ 120/1879] lr: 2.3403e-02 eta: 2 days, 17:01:51 time: 0.4673 data_time: 0.0322 memory: 18108 grad_norm: 4.5064 loss: 6.3412 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.5775 top1_acc_1: 0.4000 top5_acc_1: 0.6000 loss_cls_1: 2.7637 2023/01/31 10:21:34 - mmengine - INFO - Epoch(train) [6][ 140/1879] lr: 2.3431e-02 eta: 2 days, 17:01:28 time: 0.4832 data_time: 0.0339 memory: 18108 grad_norm: 4.5023 loss: 6.1857 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.4179 top1_acc_1: 0.3176 top5_acc_1: 0.6235 loss_cls_1: 2.7678 2023/01/31 10:21:43 - mmengine - INFO - Epoch(train) [6][ 160/1879] lr: 2.3459e-02 eta: 2 days, 17:01:00 time: 0.4780 data_time: 0.0393 memory: 18108 grad_norm: 4.4915 loss: 6.2132 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.4223 top1_acc_1: 0.3647 top5_acc_1: 0.5176 loss_cls_1: 2.7909 2023/01/31 10:21:53 - mmengine - INFO - Epoch(train) [6][ 180/1879] lr: 2.3488e-02 eta: 2 days, 17:00:23 time: 0.4695 data_time: 0.0355 memory: 18108 grad_norm: 4.5037 loss: 6.3405 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.6039 top1_acc_1: 0.2824 top5_acc_1: 0.6471 loss_cls_1: 2.7366 2023/01/31 10:22:02 - mmengine - INFO - Epoch(train) [6][ 200/1879] lr: 2.3516e-02 eta: 2 days, 16:59:57 time: 0.4800 data_time: 0.0351 memory: 18108 grad_norm: 4.5282 loss: 6.3468 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.5526 top1_acc_1: 0.4235 top5_acc_1: 0.6471 loss_cls_1: 2.7943 2023/01/31 10:22:12 - mmengine - INFO - Epoch(train) [6][ 220/1879] lr: 2.3544e-02 eta: 2 days, 16:59:46 time: 0.4946 data_time: 0.0276 memory: 18108 grad_norm: 4.4663 loss: 6.1213 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.3659 top1_acc_1: 0.4000 top5_acc_1: 0.5647 loss_cls_1: 2.7554 2023/01/31 10:22:22 - mmengine - INFO - Epoch(train) [6][ 240/1879] lr: 2.3572e-02 eta: 2 days, 16:59:40 time: 0.5003 data_time: 0.0404 memory: 18108 grad_norm: 4.4705 loss: 6.4908 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 3.6918 top1_acc_1: 0.4235 top5_acc_1: 0.7059 loss_cls_1: 2.7990 2023/01/31 10:22:32 - mmengine - INFO - Epoch(train) [6][ 260/1879] lr: 2.3600e-02 eta: 2 days, 16:59:09 time: 0.4752 data_time: 0.0286 memory: 18108 grad_norm: 4.4644 loss: 6.2533 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.5094 top1_acc_1: 0.3412 top5_acc_1: 0.6941 loss_cls_1: 2.7439 2023/01/31 10:22:41 - mmengine - INFO - Epoch(train) [6][ 280/1879] lr: 2.3629e-02 eta: 2 days, 16:58:51 time: 0.4878 data_time: 0.0349 memory: 18108 grad_norm: 4.5212 loss: 6.4338 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.6457 top1_acc_1: 0.4235 top5_acc_1: 0.6706 loss_cls_1: 2.7881 2023/01/31 10:22:51 - mmengine - INFO - Epoch(train) [6][ 300/1879] lr: 2.3657e-02 eta: 2 days, 16:58:42 time: 0.4972 data_time: 0.0377 memory: 18108 grad_norm: 4.4508 loss: 6.0627 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.2573 top1_acc_1: 0.3647 top5_acc_1: 0.5647 loss_cls_1: 2.8054 2023/01/31 10:23:01 - mmengine - INFO - Epoch(train) [6][ 320/1879] lr: 2.3685e-02 eta: 2 days, 16:58:19 time: 0.4830 data_time: 0.0354 memory: 18108 grad_norm: 4.4722 loss: 6.3691 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.5009 top1_acc_1: 0.4000 top5_acc_1: 0.6118 loss_cls_1: 2.8682 2023/01/31 10:23:11 - mmengine - INFO - Epoch(train) [6][ 340/1879] lr: 2.3713e-02 eta: 2 days, 16:57:51 time: 0.4777 data_time: 0.0289 memory: 18108 grad_norm: 4.5039 loss: 6.3215 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 3.5724 top1_acc_1: 0.4941 top5_acc_1: 0.6706 loss_cls_1: 2.7492 2023/01/31 10:23:21 - mmengine - INFO - Epoch(train) [6][ 360/1879] lr: 2.3741e-02 eta: 2 days, 16:57:45 time: 0.5006 data_time: 0.0425 memory: 18108 grad_norm: 4.4361 loss: 6.2743 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.5266 top1_acc_1: 0.4471 top5_acc_1: 0.6824 loss_cls_1: 2.7476 2023/01/31 10:23:30 - mmengine - INFO - Epoch(train) [6][ 380/1879] lr: 2.3769e-02 eta: 2 days, 16:57:26 time: 0.4863 data_time: 0.0321 memory: 18108 grad_norm: 4.5043 loss: 6.1813 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.4547 top1_acc_1: 0.4588 top5_acc_1: 0.6824 loss_cls_1: 2.7267 2023/01/31 10:23:40 - mmengine - INFO - Epoch(train) [6][ 400/1879] lr: 2.3798e-02 eta: 2 days, 16:57:09 time: 0.4897 data_time: 0.0372 memory: 18108 grad_norm: 4.4884 loss: 6.3329 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.6001 top1_acc_1: 0.4000 top5_acc_1: 0.6118 loss_cls_1: 2.7328 2023/01/31 10:23:50 - mmengine - INFO - Epoch(train) [6][ 420/1879] lr: 2.3826e-02 eta: 2 days, 16:57:04 time: 0.5004 data_time: 0.0285 memory: 18108 grad_norm: 4.4965 loss: 6.2572 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.4174 top1_acc_1: 0.3412 top5_acc_1: 0.6353 loss_cls_1: 2.8398 2023/01/31 10:24:00 - mmengine - INFO - Epoch(train) [6][ 440/1879] lr: 2.3854e-02 eta: 2 days, 16:56:51 time: 0.4933 data_time: 0.0446 memory: 18108 grad_norm: 4.4397 loss: 6.3485 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 3.5584 top1_acc_1: 0.3765 top5_acc_1: 0.6588 loss_cls_1: 2.7901 2023/01/31 10:24:10 - mmengine - INFO - Epoch(train) [6][ 460/1879] lr: 2.3882e-02 eta: 2 days, 16:56:32 time: 0.4866 data_time: 0.0287 memory: 18108 grad_norm: 4.4340 loss: 6.2474 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.4684 top1_acc_1: 0.3294 top5_acc_1: 0.6235 loss_cls_1: 2.7789 2023/01/31 10:24:20 - mmengine - INFO - Epoch(train) [6][ 480/1879] lr: 2.3910e-02 eta: 2 days, 16:56:25 time: 0.4999 data_time: 0.0358 memory: 18108 grad_norm: 4.4321 loss: 6.2011 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.3881 top1_acc_1: 0.3765 top5_acc_1: 0.6353 loss_cls_1: 2.8130 2023/01/31 10:24:30 - mmengine - INFO - Epoch(train) [6][ 500/1879] lr: 2.3938e-02 eta: 2 days, 16:56:18 time: 0.4987 data_time: 0.0354 memory: 18108 grad_norm: 4.4993 loss: 6.2373 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.4240 top1_acc_1: 0.3882 top5_acc_1: 0.6588 loss_cls_1: 2.8132 2023/01/31 10:24:40 - mmengine - INFO - Epoch(train) [6][ 520/1879] lr: 2.3967e-02 eta: 2 days, 16:56:08 time: 0.4963 data_time: 0.0376 memory: 18108 grad_norm: 4.4997 loss: 6.2670 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 3.5217 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 2.7453 2023/01/31 10:24:50 - mmengine - INFO - Epoch(train) [6][ 540/1879] lr: 2.3995e-02 eta: 2 days, 16:56:01 time: 0.4992 data_time: 0.0277 memory: 18108 grad_norm: 4.4526 loss: 6.2690 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 3.4014 top1_acc_1: 0.4706 top5_acc_1: 0.6824 loss_cls_1: 2.8676 2023/01/31 10:25:00 - mmengine - INFO - Epoch(train) [6][ 560/1879] lr: 2.4023e-02 eta: 2 days, 16:56:20 time: 0.5265 data_time: 0.0359 memory: 18108 grad_norm: 4.4358 loss: 6.1574 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.4041 top1_acc_1: 0.3647 top5_acc_1: 0.6824 loss_cls_1: 2.7533 2023/01/31 10:25:10 - mmengine - INFO - Epoch(train) [6][ 580/1879] lr: 2.4051e-02 eta: 2 days, 16:56:13 time: 0.4996 data_time: 0.0309 memory: 18108 grad_norm: 4.4456 loss: 6.2913 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 3.4663 top1_acc_1: 0.4471 top5_acc_1: 0.6706 loss_cls_1: 2.8249 2023/01/31 10:25:20 - mmengine - INFO - Epoch(train) [6][ 600/1879] lr: 2.4079e-02 eta: 2 days, 16:56:03 time: 0.4963 data_time: 0.0401 memory: 18108 grad_norm: 4.4546 loss: 6.4322 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.5508 top1_acc_1: 0.3647 top5_acc_1: 0.5412 loss_cls_1: 2.8814 2023/01/31 10:25:23 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 10:25:30 - mmengine - INFO - Epoch(train) [6][ 620/1879] lr: 2.4108e-02 eta: 2 days, 16:56:11 time: 0.5151 data_time: 0.0302 memory: 18108 grad_norm: 4.4765 loss: 6.1791 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.3798 top1_acc_1: 0.3882 top5_acc_1: 0.6118 loss_cls_1: 2.7994 2023/01/31 10:25:40 - mmengine - INFO - Epoch(train) [6][ 640/1879] lr: 2.4136e-02 eta: 2 days, 16:56:06 time: 0.5022 data_time: 0.0365 memory: 18108 grad_norm: 4.3753 loss: 6.3674 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.4942 top1_acc_1: 0.4235 top5_acc_1: 0.6588 loss_cls_1: 2.8732 2023/01/31 10:25:51 - mmengine - INFO - Epoch(train) [6][ 660/1879] lr: 2.4164e-02 eta: 2 days, 16:56:09 time: 0.5094 data_time: 0.0288 memory: 18108 grad_norm: 4.3981 loss: 6.3065 top1_acc_0: 0.0625 top5_acc_0: 0.1875 loss_cls_0: 3.5068 top1_acc_1: 0.3294 top5_acc_1: 0.6235 loss_cls_1: 2.7998 2023/01/31 10:26:01 - mmengine - INFO - Epoch(train) [6][ 680/1879] lr: 2.4192e-02 eta: 2 days, 16:56:00 time: 0.4976 data_time: 0.0375 memory: 18108 grad_norm: 4.4183 loss: 6.5235 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 3.6386 top1_acc_1: 0.3294 top5_acc_1: 0.6706 loss_cls_1: 2.8849 2023/01/31 10:26:11 - mmengine - INFO - Epoch(train) [6][ 700/1879] lr: 2.4220e-02 eta: 2 days, 16:55:59 time: 0.5061 data_time: 0.0389 memory: 18108 grad_norm: 4.4435 loss: 5.9880 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.3727 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 2.6153 2023/01/31 10:26:21 - mmengine - INFO - Epoch(train) [6][ 720/1879] lr: 2.4248e-02 eta: 2 days, 16:55:45 time: 0.4922 data_time: 0.0364 memory: 18108 grad_norm: 4.4663 loss: 6.2172 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.4186 top1_acc_1: 0.3882 top5_acc_1: 0.5882 loss_cls_1: 2.7986 2023/01/31 10:26:30 - mmengine - INFO - Epoch(train) [6][ 740/1879] lr: 2.4277e-02 eta: 2 days, 16:55:32 time: 0.4933 data_time: 0.0311 memory: 18108 grad_norm: 4.4190 loss: 6.4440 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.7132 top1_acc_1: 0.3294 top5_acc_1: 0.5882 loss_cls_1: 2.7307 2023/01/31 10:26:40 - mmengine - INFO - Epoch(train) [6][ 760/1879] lr: 2.4305e-02 eta: 2 days, 16:55:22 time: 0.4954 data_time: 0.0373 memory: 18108 grad_norm: 4.4611 loss: 6.0706 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.2630 top1_acc_1: 0.4235 top5_acc_1: 0.6706 loss_cls_1: 2.8076 2023/01/31 10:26:50 - mmengine - INFO - Epoch(train) [6][ 780/1879] lr: 2.4333e-02 eta: 2 days, 16:55:08 time: 0.4927 data_time: 0.0295 memory: 18108 grad_norm: 4.4311 loss: 6.4707 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 3.5880 top1_acc_1: 0.3412 top5_acc_1: 0.6471 loss_cls_1: 2.8827 2023/01/31 10:27:00 - mmengine - INFO - Epoch(train) [6][ 800/1879] lr: 2.4361e-02 eta: 2 days, 16:54:49 time: 0.4858 data_time: 0.0365 memory: 18108 grad_norm: 4.3722 loss: 6.1856 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.3946 top1_acc_1: 0.4235 top5_acc_1: 0.6471 loss_cls_1: 2.7910 2023/01/31 10:27:10 - mmengine - INFO - Epoch(train) [6][ 820/1879] lr: 2.4389e-02 eta: 2 days, 16:54:35 time: 0.4919 data_time: 0.0288 memory: 18108 grad_norm: 4.4404 loss: 6.4473 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.6984 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 2.7489 2023/01/31 10:27:20 - mmengine - INFO - Epoch(train) [6][ 840/1879] lr: 2.4417e-02 eta: 2 days, 16:54:32 time: 0.5041 data_time: 0.0375 memory: 18108 grad_norm: 4.4003 loss: 6.1406 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 3.4337 top1_acc_1: 0.4118 top5_acc_1: 0.6941 loss_cls_1: 2.7070 2023/01/31 10:27:30 - mmengine - INFO - Epoch(train) [6][ 860/1879] lr: 2.4446e-02 eta: 2 days, 16:54:12 time: 0.4860 data_time: 0.0298 memory: 18108 grad_norm: 4.3843 loss: 6.2627 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.4410 top1_acc_1: 0.3765 top5_acc_1: 0.6118 loss_cls_1: 2.8217 2023/01/31 10:27:40 - mmengine - INFO - Epoch(train) [6][ 880/1879] lr: 2.4474e-02 eta: 2 days, 16:54:08 time: 0.5022 data_time: 0.0394 memory: 18108 grad_norm: 4.4338 loss: 6.2731 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.4892 top1_acc_1: 0.4353 top5_acc_1: 0.6353 loss_cls_1: 2.7839 2023/01/31 10:27:50 - mmengine - INFO - Epoch(train) [6][ 900/1879] lr: 2.4502e-02 eta: 2 days, 16:53:58 time: 0.4968 data_time: 0.0287 memory: 18108 grad_norm: 4.3948 loss: 6.3522 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 3.5727 top1_acc_1: 0.4235 top5_acc_1: 0.6471 loss_cls_1: 2.7794 2023/01/31 10:27:59 - mmengine - INFO - Epoch(train) [6][ 920/1879] lr: 2.4530e-02 eta: 2 days, 16:53:50 time: 0.4979 data_time: 0.0428 memory: 18108 grad_norm: 4.3873 loss: 6.1845 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.3978 top1_acc_1: 0.3529 top5_acc_1: 0.6353 loss_cls_1: 2.7866 2023/01/31 10:28:09 - mmengine - INFO - Epoch(train) [6][ 940/1879] lr: 2.4558e-02 eta: 2 days, 16:53:33 time: 0.4891 data_time: 0.0293 memory: 18108 grad_norm: 4.4146 loss: 6.3225 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.5350 top1_acc_1: 0.4000 top5_acc_1: 0.6235 loss_cls_1: 2.7875 2023/01/31 10:28:19 - mmengine - INFO - Epoch(train) [6][ 960/1879] lr: 2.4587e-02 eta: 2 days, 16:53:33 time: 0.5075 data_time: 0.0373 memory: 18108 grad_norm: 4.4062 loss: 6.2346 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 3.4787 top1_acc_1: 0.3882 top5_acc_1: 0.6118 loss_cls_1: 2.7559 2023/01/31 10:28:30 - mmengine - INFO - Epoch(train) [6][ 980/1879] lr: 2.4615e-02 eta: 2 days, 16:53:36 time: 0.5102 data_time: 0.0357 memory: 18108 grad_norm: 4.4220 loss: 6.2526 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.4486 top1_acc_1: 0.3294 top5_acc_1: 0.5882 loss_cls_1: 2.8040 2023/01/31 10:28:40 - mmengine - INFO - Epoch(train) [6][1000/1879] lr: 2.4643e-02 eta: 2 days, 16:53:26 time: 0.4967 data_time: 0.0348 memory: 18108 grad_norm: 4.3994 loss: 6.5160 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.7405 top1_acc_1: 0.3529 top5_acc_1: 0.6471 loss_cls_1: 2.7755 2023/01/31 10:28:49 - mmengine - INFO - Epoch(train) [6][1020/1879] lr: 2.4671e-02 eta: 2 days, 16:53:15 time: 0.4942 data_time: 0.0298 memory: 18108 grad_norm: 4.3816 loss: 6.1907 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.4496 top1_acc_1: 0.4000 top5_acc_1: 0.6353 loss_cls_1: 2.7410 2023/01/31 10:28:59 - mmengine - INFO - Epoch(train) [6][1040/1879] lr: 2.4699e-02 eta: 2 days, 16:53:06 time: 0.4980 data_time: 0.0350 memory: 18108 grad_norm: 4.3189 loss: 6.2656 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.5114 top1_acc_1: 0.3529 top5_acc_1: 0.6235 loss_cls_1: 2.7542 2023/01/31 10:29:10 - mmengine - INFO - Epoch(train) [6][1060/1879] lr: 2.4727e-02 eta: 2 days, 16:53:06 time: 0.5076 data_time: 0.0366 memory: 18108 grad_norm: 4.3720 loss: 6.3173 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.5000 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.8173 2023/01/31 10:29:20 - mmengine - INFO - Epoch(train) [6][1080/1879] lr: 2.4756e-02 eta: 2 days, 16:53:12 time: 0.5134 data_time: 0.0371 memory: 18108 grad_norm: 4.3703 loss: 6.4052 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 3.6766 top1_acc_1: 0.4706 top5_acc_1: 0.6588 loss_cls_1: 2.7287 2023/01/31 10:29:30 - mmengine - INFO - Epoch(train) [6][1100/1879] lr: 2.4784e-02 eta: 2 days, 16:52:54 time: 0.4883 data_time: 0.0302 memory: 18108 grad_norm: 4.3924 loss: 6.2485 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 3.5446 top1_acc_1: 0.4000 top5_acc_1: 0.6235 loss_cls_1: 2.7039 2023/01/31 10:29:40 - mmengine - INFO - Epoch(train) [6][1120/1879] lr: 2.4812e-02 eta: 2 days, 16:52:45 time: 0.4974 data_time: 0.0418 memory: 18108 grad_norm: 4.3406 loss: 6.2485 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.4427 top1_acc_1: 0.4235 top5_acc_1: 0.6118 loss_cls_1: 2.8058 2023/01/31 10:29:50 - mmengine - INFO - Epoch(train) [6][1140/1879] lr: 2.4840e-02 eta: 2 days, 16:52:43 time: 0.5047 data_time: 0.0300 memory: 18108 grad_norm: 4.3512 loss: 5.9956 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.3577 top1_acc_1: 0.4118 top5_acc_1: 0.6706 loss_cls_1: 2.6379 2023/01/31 10:30:00 - mmengine - INFO - Epoch(train) [6][1160/1879] lr: 2.4868e-02 eta: 2 days, 16:52:50 time: 0.5152 data_time: 0.0370 memory: 18108 grad_norm: 4.3913 loss: 6.3366 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 3.6128 top1_acc_1: 0.4000 top5_acc_1: 0.6706 loss_cls_1: 2.7238 2023/01/31 10:30:10 - mmengine - INFO - Epoch(train) [6][1180/1879] lr: 2.4896e-02 eta: 2 days, 16:52:32 time: 0.4877 data_time: 0.0293 memory: 18108 grad_norm: 4.3913 loss: 6.1607 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 3.4173 top1_acc_1: 0.3176 top5_acc_1: 0.6706 loss_cls_1: 2.7435 2023/01/31 10:30:20 - mmengine - INFO - Epoch(train) [6][1200/1879] lr: 2.4925e-02 eta: 2 days, 16:52:39 time: 0.5158 data_time: 0.0443 memory: 18108 grad_norm: 4.3717 loss: 6.1020 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 3.3925 top1_acc_1: 0.4471 top5_acc_1: 0.6235 loss_cls_1: 2.7095 2023/01/31 10:30:30 - mmengine - INFO - Epoch(train) [6][1220/1879] lr: 2.4953e-02 eta: 2 days, 16:52:16 time: 0.4809 data_time: 0.0288 memory: 18108 grad_norm: 4.3274 loss: 6.2876 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.4746 top1_acc_1: 0.4471 top5_acc_1: 0.6706 loss_cls_1: 2.8131 2023/01/31 10:30:40 - mmengine - INFO - Epoch(train) [6][1240/1879] lr: 2.4981e-02 eta: 2 days, 16:52:04 time: 0.4952 data_time: 0.0351 memory: 18108 grad_norm: 4.3427 loss: 6.0481 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.3068 top1_acc_1: 0.3647 top5_acc_1: 0.6706 loss_cls_1: 2.7413 2023/01/31 10:30:49 - mmengine - INFO - Epoch(train) [6][1260/1879] lr: 2.5009e-02 eta: 2 days, 16:51:46 time: 0.4863 data_time: 0.0300 memory: 18108 grad_norm: 4.3840 loss: 6.3727 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 3.4351 top1_acc_1: 0.3059 top5_acc_1: 0.5059 loss_cls_1: 2.9376 2023/01/31 10:30:59 - mmengine - INFO - Epoch(train) [6][1280/1879] lr: 2.5037e-02 eta: 2 days, 16:51:48 time: 0.5106 data_time: 0.0443 memory: 18108 grad_norm: 4.3757 loss: 6.4113 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.5703 top1_acc_1: 0.3412 top5_acc_1: 0.6824 loss_cls_1: 2.8410 2023/01/31 10:31:09 - mmengine - INFO - Epoch(train) [6][1300/1879] lr: 2.5066e-02 eta: 2 days, 16:51:31 time: 0.4884 data_time: 0.0294 memory: 18108 grad_norm: 4.2955 loss: 6.1304 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 3.4107 top1_acc_1: 0.3647 top5_acc_1: 0.6471 loss_cls_1: 2.7198 2023/01/31 10:31:19 - mmengine - INFO - Epoch(train) [6][1320/1879] lr: 2.5094e-02 eta: 2 days, 16:51:24 time: 0.5002 data_time: 0.0359 memory: 18108 grad_norm: 4.3136 loss: 6.0475 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 3.3818 top1_acc_1: 0.4824 top5_acc_1: 0.6824 loss_cls_1: 2.6656 2023/01/31 10:31:29 - mmengine - INFO - Epoch(train) [6][1340/1879] lr: 2.5122e-02 eta: 2 days, 16:51:28 time: 0.5120 data_time: 0.0368 memory: 18108 grad_norm: 4.3670 loss: 5.9761 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.2318 top1_acc_1: 0.4118 top5_acc_1: 0.6118 loss_cls_1: 2.7443 2023/01/31 10:31:39 - mmengine - INFO - Epoch(train) [6][1360/1879] lr: 2.5150e-02 eta: 2 days, 16:51:21 time: 0.4998 data_time: 0.0363 memory: 18108 grad_norm: 4.2809 loss: 6.1456 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.4792 top1_acc_1: 0.3882 top5_acc_1: 0.5647 loss_cls_1: 2.6664 2023/01/31 10:31:49 - mmengine - INFO - Epoch(train) [6][1380/1879] lr: 2.5178e-02 eta: 2 days, 16:51:12 time: 0.4970 data_time: 0.0276 memory: 18108 grad_norm: 4.3020 loss: 6.0332 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.3459 top1_acc_1: 0.2941 top5_acc_1: 0.6000 loss_cls_1: 2.6873 2023/01/31 10:32:00 - mmengine - INFO - Epoch(train) [6][1400/1879] lr: 2.5206e-02 eta: 2 days, 16:51:09 time: 0.5050 data_time: 0.0361 memory: 18108 grad_norm: 4.2951 loss: 6.0150 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.2809 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 2.7341 2023/01/31 10:32:10 - mmengine - INFO - Epoch(train) [6][1420/1879] lr: 2.5235e-02 eta: 2 days, 16:51:14 time: 0.5132 data_time: 0.0365 memory: 18108 grad_norm: 4.3193 loss: 6.1743 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.3774 top1_acc_1: 0.4471 top5_acc_1: 0.6941 loss_cls_1: 2.7969 2023/01/31 10:32:20 - mmengine - INFO - Epoch(train) [6][1440/1879] lr: 2.5263e-02 eta: 2 days, 16:51:17 time: 0.5118 data_time: 0.0356 memory: 18108 grad_norm: 4.3225 loss: 6.2313 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.4821 top1_acc_1: 0.4353 top5_acc_1: 0.6706 loss_cls_1: 2.7492 2023/01/31 10:32:30 - mmengine - INFO - Epoch(train) [6][1460/1879] lr: 2.5291e-02 eta: 2 days, 16:51:04 time: 0.4926 data_time: 0.0325 memory: 18108 grad_norm: 4.3252 loss: 6.1754 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 3.4847 top1_acc_1: 0.3882 top5_acc_1: 0.6706 loss_cls_1: 2.6907 2023/01/31 10:32:40 - mmengine - INFO - Epoch(train) [6][1480/1879] lr: 2.5319e-02 eta: 2 days, 16:51:19 time: 0.5258 data_time: 0.0438 memory: 18108 grad_norm: 4.3258 loss: 6.2034 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.4584 top1_acc_1: 0.4353 top5_acc_1: 0.6824 loss_cls_1: 2.7450 2023/01/31 10:32:51 - mmengine - INFO - Epoch(train) [6][1500/1879] lr: 2.5347e-02 eta: 2 days, 16:51:23 time: 0.5127 data_time: 0.0285 memory: 18108 grad_norm: 4.3305 loss: 6.1193 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.3462 top1_acc_1: 0.3882 top5_acc_1: 0.6588 loss_cls_1: 2.7731 2023/01/31 10:33:01 - mmengine - INFO - Epoch(train) [6][1520/1879] lr: 2.5375e-02 eta: 2 days, 16:51:15 time: 0.4984 data_time: 0.0359 memory: 18108 grad_norm: 4.3129 loss: 6.2294 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 3.4077 top1_acc_1: 0.5176 top5_acc_1: 0.6824 loss_cls_1: 2.8217 2023/01/31 10:33:11 - mmengine - INFO - Epoch(train) [6][1540/1879] lr: 2.5404e-02 eta: 2 days, 16:51:06 time: 0.4979 data_time: 0.0287 memory: 18108 grad_norm: 4.3556 loss: 6.2391 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.5329 top1_acc_1: 0.4118 top5_acc_1: 0.6235 loss_cls_1: 2.7061 2023/01/31 10:33:21 - mmengine - INFO - Epoch(train) [6][1560/1879] lr: 2.5432e-02 eta: 2 days, 16:51:06 time: 0.5090 data_time: 0.0348 memory: 18108 grad_norm: 4.3970 loss: 6.2739 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 3.5296 top1_acc_1: 0.4941 top5_acc_1: 0.6941 loss_cls_1: 2.7443 2023/01/31 10:33:31 - mmengine - INFO - Epoch(train) [6][1580/1879] lr: 2.5460e-02 eta: 2 days, 16:51:03 time: 0.5039 data_time: 0.0284 memory: 18108 grad_norm: 4.2952 loss: 6.0904 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.3759 top1_acc_1: 0.3529 top5_acc_1: 0.6235 loss_cls_1: 2.7145 2023/01/31 10:33:41 - mmengine - INFO - Epoch(train) [6][1600/1879] lr: 2.5488e-02 eta: 2 days, 16:51:02 time: 0.5074 data_time: 0.0437 memory: 18108 grad_norm: 4.3170 loss: 6.2512 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.5364 top1_acc_1: 0.4353 top5_acc_1: 0.6353 loss_cls_1: 2.7148 2023/01/31 10:33:43 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 10:33:51 - mmengine - INFO - Epoch(train) [6][1620/1879] lr: 2.5516e-02 eta: 2 days, 16:51:01 time: 0.5075 data_time: 0.0287 memory: 18108 grad_norm: 4.3347 loss: 6.0797 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.2751 top1_acc_1: 0.5059 top5_acc_1: 0.6353 loss_cls_1: 2.8046 2023/01/31 10:34:01 - mmengine - INFO - Epoch(train) [6][1640/1879] lr: 2.5544e-02 eta: 2 days, 16:51:03 time: 0.5107 data_time: 0.0377 memory: 18108 grad_norm: 4.2261 loss: 6.0115 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.3637 top1_acc_1: 0.4118 top5_acc_1: 0.6941 loss_cls_1: 2.6479 2023/01/31 10:34:11 - mmengine - INFO - Epoch(train) [6][1660/1879] lr: 2.5573e-02 eta: 2 days, 16:50:53 time: 0.4965 data_time: 0.0277 memory: 18108 grad_norm: 4.3086 loss: 6.2133 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 3.5196 top1_acc_1: 0.4941 top5_acc_1: 0.6824 loss_cls_1: 2.6937 2023/01/31 10:34:22 - mmengine - INFO - Epoch(train) [6][1680/1879] lr: 2.5601e-02 eta: 2 days, 16:51:11 time: 0.5295 data_time: 0.0366 memory: 18108 grad_norm: 4.3062 loss: 5.8967 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.1937 top1_acc_1: 0.4235 top5_acc_1: 0.6235 loss_cls_1: 2.7031 2023/01/31 10:34:32 - mmengine - INFO - Epoch(train) [6][1700/1879] lr: 2.5629e-02 eta: 2 days, 16:51:29 time: 0.5298 data_time: 0.0274 memory: 18108 grad_norm: 4.3267 loss: 6.0592 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 3.3353 top1_acc_1: 0.3882 top5_acc_1: 0.6118 loss_cls_1: 2.7240 2023/01/31 10:34:42 - mmengine - INFO - Epoch(train) [6][1720/1879] lr: 2.5657e-02 eta: 2 days, 16:51:22 time: 0.4999 data_time: 0.0353 memory: 18108 grad_norm: 4.3075 loss: 6.1168 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.4350 top1_acc_1: 0.4235 top5_acc_1: 0.6706 loss_cls_1: 2.6818 2023/01/31 10:34:53 - mmengine - INFO - Epoch(train) [6][1740/1879] lr: 2.5685e-02 eta: 2 days, 16:51:17 time: 0.5037 data_time: 0.0403 memory: 18108 grad_norm: 4.2937 loss: 6.0907 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.3495 top1_acc_1: 0.4588 top5_acc_1: 0.6118 loss_cls_1: 2.7413 2023/01/31 10:35:02 - mmengine - INFO - Epoch(train) [6][1760/1879] lr: 2.5714e-02 eta: 2 days, 16:51:06 time: 0.4951 data_time: 0.0347 memory: 18108 grad_norm: 4.2794 loss: 6.2832 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.5452 top1_acc_1: 0.4353 top5_acc_1: 0.6706 loss_cls_1: 2.7380 2023/01/31 10:35:12 - mmengine - INFO - Epoch(train) [6][1780/1879] lr: 2.5742e-02 eta: 2 days, 16:50:56 time: 0.4973 data_time: 0.0278 memory: 18108 grad_norm: 4.2959 loss: 6.0091 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.2322 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 2.7769 2023/01/31 10:35:22 - mmengine - INFO - Epoch(train) [6][1800/1879] lr: 2.5770e-02 eta: 2 days, 16:50:43 time: 0.4926 data_time: 0.0441 memory: 18108 grad_norm: 4.3057 loss: 6.0835 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.4256 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.6579 2023/01/31 10:35:32 - mmengine - INFO - Epoch(train) [6][1820/1879] lr: 2.5798e-02 eta: 2 days, 16:50:38 time: 0.5028 data_time: 0.0277 memory: 18108 grad_norm: 4.3320 loss: 6.0360 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.3218 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.7142 2023/01/31 10:35:42 - mmengine - INFO - Epoch(train) [6][1840/1879] lr: 2.5826e-02 eta: 2 days, 16:50:34 time: 0.5035 data_time: 0.0350 memory: 18108 grad_norm: 4.3024 loss: 6.2296 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.5198 top1_acc_1: 0.4471 top5_acc_1: 0.6353 loss_cls_1: 2.7098 2023/01/31 10:35:52 - mmengine - INFO - Epoch(train) [6][1860/1879] lr: 2.5854e-02 eta: 2 days, 16:50:15 time: 0.4863 data_time: 0.0294 memory: 18108 grad_norm: 4.2700 loss: 6.0821 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 3.4130 top1_acc_1: 0.3412 top5_acc_1: 0.5412 loss_cls_1: 2.6692 2023/01/31 10:36:01 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 10:36:01 - mmengine - INFO - Epoch(train) [6][1879/1879] lr: 2.5881e-02 eta: 2 days, 16:49:58 time: 0.4875 data_time: 0.0368 memory: 18108 grad_norm: 4.4140 loss: 6.2522 top1_acc_0: 0.1429 top5_acc_0: 0.5714 loss_cls_0: 3.5212 top1_acc_1: 0.3765 top5_acc_1: 0.6235 loss_cls_1: 2.7310 2023/01/31 10:36:16 - mmengine - INFO - Epoch(train) [7][ 20/1879] lr: 2.5909e-02 eta: 2 days, 16:52:37 time: 0.6992 data_time: 0.2441 memory: 18108 grad_norm: 4.2456 loss: 5.7916 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 3.2353 top1_acc_1: 0.4235 top5_acc_1: 0.6235 loss_cls_1: 2.5564 2023/01/31 10:36:25 - mmengine - INFO - Epoch(train) [7][ 40/1879] lr: 2.5938e-02 eta: 2 days, 16:51:55 time: 0.4590 data_time: 0.0312 memory: 18108 grad_norm: 4.3000 loss: 6.1233 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 3.3792 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 2.7440 2023/01/31 10:36:35 - mmengine - INFO - Epoch(train) [7][ 60/1879] lr: 2.5966e-02 eta: 2 days, 16:51:25 time: 0.4727 data_time: 0.0349 memory: 18108 grad_norm: 4.2274 loss: 6.1059 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.3911 top1_acc_1: 0.3765 top5_acc_1: 0.6824 loss_cls_1: 2.7148 2023/01/31 10:36:45 - mmengine - INFO - Epoch(train) [7][ 80/1879] lr: 2.5994e-02 eta: 2 days, 16:51:24 time: 0.5078 data_time: 0.0281 memory: 18108 grad_norm: 4.3005 loss: 6.1464 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.5592 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 2.5872 2023/01/31 10:36:54 - mmengine - INFO - Epoch(train) [7][ 100/1879] lr: 2.6022e-02 eta: 2 days, 16:50:51 time: 0.4697 data_time: 0.0345 memory: 18108 grad_norm: 4.2721 loss: 5.9299 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.3056 top1_acc_1: 0.3647 top5_acc_1: 0.6000 loss_cls_1: 2.6244 2023/01/31 10:37:03 - mmengine - INFO - Epoch(train) [7][ 120/1879] lr: 2.6050e-02 eta: 2 days, 16:50:11 time: 0.4598 data_time: 0.0300 memory: 18108 grad_norm: 4.2518 loss: 6.0262 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.4763 top1_acc_1: 0.4118 top5_acc_1: 0.7059 loss_cls_1: 2.5499 2023/01/31 10:37:13 - mmengine - INFO - Epoch(train) [7][ 140/1879] lr: 2.6078e-02 eta: 2 days, 16:49:54 time: 0.4892 data_time: 0.0366 memory: 18108 grad_norm: 4.2299 loss: 6.1618 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.4541 top1_acc_1: 0.4235 top5_acc_1: 0.6353 loss_cls_1: 2.7077 2023/01/31 10:37:23 - mmengine - INFO - Epoch(train) [7][ 160/1879] lr: 2.6107e-02 eta: 2 days, 16:49:25 time: 0.4738 data_time: 0.0298 memory: 18108 grad_norm: 4.2456 loss: 6.1367 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.4378 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.6989 2023/01/31 10:37:32 - mmengine - INFO - Epoch(train) [7][ 180/1879] lr: 2.6135e-02 eta: 2 days, 16:48:53 time: 0.4699 data_time: 0.0366 memory: 18108 grad_norm: 4.2738 loss: 6.1589 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.4846 top1_acc_1: 0.5294 top5_acc_1: 0.6941 loss_cls_1: 2.6744 2023/01/31 10:37:41 - mmengine - INFO - Epoch(train) [7][ 200/1879] lr: 2.6163e-02 eta: 2 days, 16:48:16 time: 0.4638 data_time: 0.0300 memory: 18108 grad_norm: 4.3002 loss: 5.8955 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.2960 top1_acc_1: 0.4235 top5_acc_1: 0.6824 loss_cls_1: 2.5995 2023/01/31 10:37:51 - mmengine - INFO - Epoch(train) [7][ 220/1879] lr: 2.6191e-02 eta: 2 days, 16:48:05 time: 0.4959 data_time: 0.0431 memory: 18108 grad_norm: 4.2388 loss: 5.8533 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.2394 top1_acc_1: 0.3294 top5_acc_1: 0.6824 loss_cls_1: 2.6139 2023/01/31 10:38:01 - mmengine - INFO - Epoch(train) [7][ 240/1879] lr: 2.6219e-02 eta: 2 days, 16:47:34 time: 0.4709 data_time: 0.0291 memory: 18108 grad_norm: 4.2791 loss: 5.9799 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 3.4193 top1_acc_1: 0.3647 top5_acc_1: 0.6941 loss_cls_1: 2.5606 2023/01/31 10:38:10 - mmengine - INFO - Epoch(train) [7][ 260/1879] lr: 2.6247e-02 eta: 2 days, 16:47:11 time: 0.4804 data_time: 0.0346 memory: 18108 grad_norm: 4.2687 loss: 5.7996 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.1519 top1_acc_1: 0.4118 top5_acc_1: 0.7176 loss_cls_1: 2.6477 2023/01/31 10:38:20 - mmengine - INFO - Epoch(train) [7][ 280/1879] lr: 2.6276e-02 eta: 2 days, 16:46:40 time: 0.4710 data_time: 0.0364 memory: 18108 grad_norm: 4.3070 loss: 6.1148 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.4531 top1_acc_1: 0.4353 top5_acc_1: 0.7529 loss_cls_1: 2.6617 2023/01/31 10:38:30 - mmengine - INFO - Epoch(train) [7][ 300/1879] lr: 2.6304e-02 eta: 2 days, 16:46:36 time: 0.5037 data_time: 0.0365 memory: 18108 grad_norm: 4.3134 loss: 6.3077 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.5846 top1_acc_1: 0.4353 top5_acc_1: 0.6824 loss_cls_1: 2.7231 2023/01/31 10:38:39 - mmengine - INFO - Epoch(train) [7][ 320/1879] lr: 2.6332e-02 eta: 2 days, 16:46:04 time: 0.4701 data_time: 0.0319 memory: 18108 grad_norm: 4.3207 loss: 6.1095 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 3.4913 top1_acc_1: 0.4588 top5_acc_1: 0.6000 loss_cls_1: 2.6182 2023/01/31 10:38:49 - mmengine - INFO - Epoch(train) [7][ 340/1879] lr: 2.6360e-02 eta: 2 days, 16:45:49 time: 0.4903 data_time: 0.0415 memory: 18108 grad_norm: 4.2252 loss: 5.9040 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.2875 top1_acc_1: 0.3294 top5_acc_1: 0.6235 loss_cls_1: 2.6165 2023/01/31 10:38:59 - mmengine - INFO - Epoch(train) [7][ 360/1879] lr: 2.6388e-02 eta: 2 days, 16:45:29 time: 0.4842 data_time: 0.0306 memory: 18108 grad_norm: 4.2519 loss: 6.0181 top1_acc_0: 0.0000 top5_acc_0: 0.1875 loss_cls_0: 3.2518 top1_acc_1: 0.4000 top5_acc_1: 0.6941 loss_cls_1: 2.7663 2023/01/31 10:39:09 - mmengine - INFO - Epoch(train) [7][ 380/1879] lr: 2.6417e-02 eta: 2 days, 16:45:21 time: 0.4994 data_time: 0.0377 memory: 18108 grad_norm: 4.2058 loss: 5.9323 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 3.2573 top1_acc_1: 0.3412 top5_acc_1: 0.6235 loss_cls_1: 2.6749 2023/01/31 10:39:19 - mmengine - INFO - Epoch(train) [7][ 400/1879] lr: 2.6445e-02 eta: 2 days, 16:45:20 time: 0.5073 data_time: 0.0301 memory: 18108 grad_norm: 4.2736 loss: 6.0806 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 3.2899 top1_acc_1: 0.4000 top5_acc_1: 0.6588 loss_cls_1: 2.7907 2023/01/31 10:39:29 - mmengine - INFO - Epoch(train) [7][ 420/1879] lr: 2.6473e-02 eta: 2 days, 16:45:20 time: 0.5095 data_time: 0.0420 memory: 18108 grad_norm: 4.2282 loss: 6.1302 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.3560 top1_acc_1: 0.4235 top5_acc_1: 0.6706 loss_cls_1: 2.7742 2023/01/31 10:39:39 - mmengine - INFO - Epoch(train) [7][ 440/1879] lr: 2.6501e-02 eta: 2 days, 16:45:28 time: 0.5182 data_time: 0.0280 memory: 18108 grad_norm: 4.2908 loss: 5.9994 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.2503 top1_acc_1: 0.4000 top5_acc_1: 0.6235 loss_cls_1: 2.7491 2023/01/31 10:39:50 - mmengine - INFO - Epoch(train) [7][ 460/1879] lr: 2.6529e-02 eta: 2 days, 16:45:37 time: 0.5205 data_time: 0.0362 memory: 18108 grad_norm: 4.3033 loss: 6.0406 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.4183 top1_acc_1: 0.4941 top5_acc_1: 0.6706 loss_cls_1: 2.6223 2023/01/31 10:40:00 - mmengine - INFO - Epoch(train) [7][ 480/1879] lr: 2.6557e-02 eta: 2 days, 16:45:37 time: 0.5102 data_time: 0.0340 memory: 18108 grad_norm: 4.2697 loss: 5.7894 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.1671 top1_acc_1: 0.3647 top5_acc_1: 0.5765 loss_cls_1: 2.6223 2023/01/31 10:40:10 - mmengine - INFO - Epoch(train) [7][ 500/1879] lr: 2.6586e-02 eta: 2 days, 16:45:31 time: 0.5006 data_time: 0.0313 memory: 18108 grad_norm: 4.2090 loss: 6.2526 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.4498 top1_acc_1: 0.3176 top5_acc_1: 0.6471 loss_cls_1: 2.8028 2023/01/31 10:40:20 - mmengine - INFO - Epoch(train) [7][ 520/1879] lr: 2.6614e-02 eta: 2 days, 16:45:34 time: 0.5137 data_time: 0.0322 memory: 18108 grad_norm: 4.3234 loss: 6.0298 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 3.4377 top1_acc_1: 0.3765 top5_acc_1: 0.6588 loss_cls_1: 2.5921 2023/01/31 10:40:30 - mmengine - INFO - Epoch(train) [7][ 540/1879] lr: 2.6642e-02 eta: 2 days, 16:45:30 time: 0.5047 data_time: 0.0307 memory: 18108 grad_norm: 4.2712 loss: 6.1326 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.4419 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 2.6907 2023/01/31 10:40:40 - mmengine - INFO - Epoch(train) [7][ 560/1879] lr: 2.6670e-02 eta: 2 days, 16:45:23 time: 0.5000 data_time: 0.0421 memory: 18108 grad_norm: 4.2123 loss: 5.9223 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.3664 top1_acc_1: 0.5059 top5_acc_1: 0.7059 loss_cls_1: 2.5559 2023/01/31 10:40:51 - mmengine - INFO - Epoch(train) [7][ 580/1879] lr: 2.6698e-02 eta: 2 days, 16:45:28 time: 0.5158 data_time: 0.0297 memory: 18108 grad_norm: 4.2208 loss: 5.9475 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 3.3145 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 2.6331 2023/01/31 10:41:01 - mmengine - INFO - Epoch(train) [7][ 600/1879] lr: 2.6726e-02 eta: 2 days, 16:45:22 time: 0.5025 data_time: 0.0338 memory: 18108 grad_norm: 4.2372 loss: 6.2181 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.5255 top1_acc_1: 0.4824 top5_acc_1: 0.6588 loss_cls_1: 2.6926 2023/01/31 10:41:11 - mmengine - INFO - Epoch(train) [7][ 620/1879] lr: 2.6755e-02 eta: 2 days, 16:45:25 time: 0.5135 data_time: 0.0301 memory: 18108 grad_norm: 4.2031 loss: 6.0126 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.3154 top1_acc_1: 0.4235 top5_acc_1: 0.6118 loss_cls_1: 2.6972 2023/01/31 10:41:21 - mmengine - INFO - Epoch(train) [7][ 640/1879] lr: 2.6783e-02 eta: 2 days, 16:45:22 time: 0.5050 data_time: 0.0338 memory: 18108 grad_norm: 4.2164 loss: 6.1708 top1_acc_0: 0.0625 top5_acc_0: 0.4375 loss_cls_0: 3.4782 top1_acc_1: 0.3882 top5_acc_1: 0.7412 loss_cls_1: 2.6926 2023/01/31 10:41:31 - mmengine - INFO - Epoch(train) [7][ 660/1879] lr: 2.6811e-02 eta: 2 days, 16:45:27 time: 0.5156 data_time: 0.0298 memory: 18108 grad_norm: 4.2073 loss: 5.9099 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.2914 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.6184 2023/01/31 10:41:42 - mmengine - INFO - Epoch(train) [7][ 680/1879] lr: 2.6839e-02 eta: 2 days, 16:45:27 time: 0.5104 data_time: 0.0422 memory: 18108 grad_norm: 4.2147 loss: 6.0535 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.4024 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.6510 2023/01/31 10:41:52 - mmengine - INFO - Epoch(train) [7][ 700/1879] lr: 2.6867e-02 eta: 2 days, 16:45:22 time: 0.5035 data_time: 0.0307 memory: 18108 grad_norm: 4.2392 loss: 5.7772 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 3.1089 top1_acc_1: 0.4824 top5_acc_1: 0.6588 loss_cls_1: 2.6682 2023/01/31 10:42:02 - mmengine - INFO - Epoch(train) [7][ 720/1879] lr: 2.6896e-02 eta: 2 days, 16:45:14 time: 0.4986 data_time: 0.0346 memory: 18108 grad_norm: 4.2440 loss: 6.0576 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.3296 top1_acc_1: 0.4235 top5_acc_1: 0.7294 loss_cls_1: 2.7280 2023/01/31 10:42:05 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 10:42:12 - mmengine - INFO - Epoch(train) [7][ 740/1879] lr: 2.6924e-02 eta: 2 days, 16:45:20 time: 0.5172 data_time: 0.0314 memory: 18108 grad_norm: 4.2474 loss: 5.9637 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 3.2977 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.6660 2023/01/31 10:42:22 - mmengine - INFO - Epoch(train) [7][ 760/1879] lr: 2.6952e-02 eta: 2 days, 16:45:13 time: 0.5013 data_time: 0.0398 memory: 18108 grad_norm: 4.1979 loss: 6.0110 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 3.4070 top1_acc_1: 0.4471 top5_acc_1: 0.7412 loss_cls_1: 2.6040 2023/01/31 10:42:33 - mmengine - INFO - Epoch(train) [7][ 780/1879] lr: 2.6980e-02 eta: 2 days, 16:45:23 time: 0.5234 data_time: 0.0322 memory: 18108 grad_norm: 4.2331 loss: 6.0291 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.4290 top1_acc_1: 0.4588 top5_acc_1: 0.7059 loss_cls_1: 2.6001 2023/01/31 10:42:43 - mmengine - INFO - Epoch(train) [7][ 800/1879] lr: 2.7008e-02 eta: 2 days, 16:45:20 time: 0.5051 data_time: 0.0357 memory: 18108 grad_norm: 4.2158 loss: 5.8684 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.2699 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 2.5985 2023/01/31 10:42:53 - mmengine - INFO - Epoch(train) [7][ 820/1879] lr: 2.7036e-02 eta: 2 days, 16:45:22 time: 0.5125 data_time: 0.0367 memory: 18108 grad_norm: 4.2495 loss: 5.9762 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 3.3140 top1_acc_1: 0.4118 top5_acc_1: 0.6588 loss_cls_1: 2.6622 2023/01/31 10:43:03 - mmengine - INFO - Epoch(train) [7][ 840/1879] lr: 2.7065e-02 eta: 2 days, 16:45:21 time: 0.5087 data_time: 0.0323 memory: 18108 grad_norm: 4.2356 loss: 5.7826 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.0829 top1_acc_1: 0.4353 top5_acc_1: 0.6353 loss_cls_1: 2.6997 2023/01/31 10:43:13 - mmengine - INFO - Epoch(train) [7][ 860/1879] lr: 2.7093e-02 eta: 2 days, 16:45:26 time: 0.5169 data_time: 0.0361 memory: 18108 grad_norm: 4.1338 loss: 6.3297 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 3.5387 top1_acc_1: 0.4588 top5_acc_1: 0.6000 loss_cls_1: 2.7910 2023/01/31 10:43:24 - mmengine - INFO - Epoch(train) [7][ 880/1879] lr: 2.7121e-02 eta: 2 days, 16:45:30 time: 0.5156 data_time: 0.0255 memory: 18108 grad_norm: 4.2091 loss: 6.0625 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.4314 top1_acc_1: 0.4353 top5_acc_1: 0.6353 loss_cls_1: 2.6310 2023/01/31 10:43:34 - mmengine - INFO - Epoch(train) [7][ 900/1879] lr: 2.7149e-02 eta: 2 days, 16:45:33 time: 0.5132 data_time: 0.0437 memory: 18108 grad_norm: 4.3146 loss: 6.1597 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.3949 top1_acc_1: 0.4706 top5_acc_1: 0.6588 loss_cls_1: 2.7648 2023/01/31 10:43:45 - mmengine - INFO - Epoch(train) [7][ 920/1879] lr: 2.7177e-02 eta: 2 days, 16:45:45 time: 0.5264 data_time: 0.0299 memory: 18108 grad_norm: 4.2301 loss: 5.9661 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.3557 top1_acc_1: 0.4000 top5_acc_1: 0.7176 loss_cls_1: 2.6104 2023/01/31 10:43:55 - mmengine - INFO - Epoch(train) [7][ 940/1879] lr: 2.7205e-02 eta: 2 days, 16:46:00 time: 0.5296 data_time: 0.0349 memory: 18108 grad_norm: 4.1725 loss: 6.0485 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.4483 top1_acc_1: 0.3765 top5_acc_1: 0.6824 loss_cls_1: 2.6002 2023/01/31 10:44:05 - mmengine - INFO - Epoch(train) [7][ 960/1879] lr: 2.7234e-02 eta: 2 days, 16:45:59 time: 0.5095 data_time: 0.0329 memory: 18108 grad_norm: 4.2292 loss: 6.0397 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.4326 top1_acc_1: 0.4471 top5_acc_1: 0.6824 loss_cls_1: 2.6071 2023/01/31 10:44:16 - mmengine - INFO - Epoch(train) [7][ 980/1879] lr: 2.7262e-02 eta: 2 days, 16:46:02 time: 0.5140 data_time: 0.0355 memory: 18108 grad_norm: 4.1636 loss: 5.9181 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.2746 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.6436 2023/01/31 10:44:26 - mmengine - INFO - Epoch(train) [7][1000/1879] lr: 2.7290e-02 eta: 2 days, 16:46:08 time: 0.5185 data_time: 0.0289 memory: 18108 grad_norm: 4.2213 loss: 6.2233 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.5708 top1_acc_1: 0.5765 top5_acc_1: 0.7176 loss_cls_1: 2.6525 2023/01/31 10:44:36 - mmengine - INFO - Epoch(train) [7][1020/1879] lr: 2.7318e-02 eta: 2 days, 16:46:16 time: 0.5200 data_time: 0.0430 memory: 18108 grad_norm: 4.2476 loss: 5.9048 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.2595 top1_acc_1: 0.4588 top5_acc_1: 0.6941 loss_cls_1: 2.6452 2023/01/31 10:44:47 - mmengine - INFO - Epoch(train) [7][1040/1879] lr: 2.7346e-02 eta: 2 days, 16:46:20 time: 0.5169 data_time: 0.0272 memory: 18108 grad_norm: 4.1930 loss: 5.9950 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.3839 top1_acc_1: 0.4235 top5_acc_1: 0.6353 loss_cls_1: 2.6111 2023/01/31 10:44:57 - mmengine - INFO - Epoch(train) [7][1060/1879] lr: 2.7375e-02 eta: 2 days, 16:46:35 time: 0.5295 data_time: 0.0374 memory: 18108 grad_norm: 4.1941 loss: 5.7203 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.0596 top1_acc_1: 0.4000 top5_acc_1: 0.5882 loss_cls_1: 2.6607 2023/01/31 10:45:08 - mmengine - INFO - Epoch(train) [7][1080/1879] lr: 2.7403e-02 eta: 2 days, 16:46:40 time: 0.5176 data_time: 0.0338 memory: 18108 grad_norm: 4.2360 loss: 5.8875 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.3249 top1_acc_1: 0.4588 top5_acc_1: 0.6941 loss_cls_1: 2.5626 2023/01/31 10:45:18 - mmengine - INFO - Epoch(train) [7][1100/1879] lr: 2.7431e-02 eta: 2 days, 16:46:40 time: 0.5112 data_time: 0.0368 memory: 18108 grad_norm: 4.1749 loss: 6.1271 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 3.4622 top1_acc_1: 0.3765 top5_acc_1: 0.6471 loss_cls_1: 2.6649 2023/01/31 10:45:28 - mmengine - INFO - Epoch(train) [7][1120/1879] lr: 2.7459e-02 eta: 2 days, 16:46:51 time: 0.5243 data_time: 0.0271 memory: 18108 grad_norm: 4.2130 loss: 6.2955 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.5679 top1_acc_1: 0.3765 top5_acc_1: 0.5765 loss_cls_1: 2.7276 2023/01/31 10:45:39 - mmengine - INFO - Epoch(train) [7][1140/1879] lr: 2.7487e-02 eta: 2 days, 16:46:58 time: 0.5208 data_time: 0.0377 memory: 18108 grad_norm: 4.2213 loss: 5.9701 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.3313 top1_acc_1: 0.4824 top5_acc_1: 0.6941 loss_cls_1: 2.6387 2023/01/31 10:45:49 - mmengine - INFO - Epoch(train) [7][1160/1879] lr: 2.7515e-02 eta: 2 days, 16:47:06 time: 0.5208 data_time: 0.0304 memory: 18108 grad_norm: 4.1861 loss: 6.0371 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.3725 top1_acc_1: 0.5059 top5_acc_1: 0.6824 loss_cls_1: 2.6646 2023/01/31 10:46:00 - mmengine - INFO - Epoch(train) [7][1180/1879] lr: 2.7544e-02 eta: 2 days, 16:47:12 time: 0.5188 data_time: 0.0367 memory: 18108 grad_norm: 4.1157 loss: 5.6461 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.0854 top1_acc_1: 0.4118 top5_acc_1: 0.6706 loss_cls_1: 2.5607 2023/01/31 10:46:10 - mmengine - INFO - Epoch(train) [7][1200/1879] lr: 2.7572e-02 eta: 2 days, 16:47:13 time: 0.5128 data_time: 0.0283 memory: 18108 grad_norm: 4.1613 loss: 5.8836 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.3403 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 2.5432 2023/01/31 10:46:20 - mmengine - INFO - Epoch(train) [7][1220/1879] lr: 2.7600e-02 eta: 2 days, 16:47:22 time: 0.5233 data_time: 0.0425 memory: 18108 grad_norm: 4.1759 loss: 5.9584 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.2961 top1_acc_1: 0.4118 top5_acc_1: 0.7059 loss_cls_1: 2.6623 2023/01/31 10:46:31 - mmengine - INFO - Epoch(train) [7][1240/1879] lr: 2.7628e-02 eta: 2 days, 16:47:31 time: 0.5224 data_time: 0.0291 memory: 18108 grad_norm: 4.2393 loss: 5.7591 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.2439 top1_acc_1: 0.3647 top5_acc_1: 0.6941 loss_cls_1: 2.5151 2023/01/31 10:46:41 - mmengine - INFO - Epoch(train) [7][1260/1879] lr: 2.7656e-02 eta: 2 days, 16:47:43 time: 0.5283 data_time: 0.0371 memory: 18108 grad_norm: 4.2007 loss: 6.0263 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.4649 top1_acc_1: 0.4000 top5_acc_1: 0.6118 loss_cls_1: 2.5614 2023/01/31 10:46:52 - mmengine - INFO - Epoch(train) [7][1280/1879] lr: 2.7684e-02 eta: 2 days, 16:47:58 time: 0.5315 data_time: 0.0295 memory: 18108 grad_norm: 4.2009 loss: 6.1853 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.4933 top1_acc_1: 0.4353 top5_acc_1: 0.6471 loss_cls_1: 2.6920 2023/01/31 10:47:03 - mmengine - INFO - Epoch(train) [7][1300/1879] lr: 2.7713e-02 eta: 2 days, 16:48:12 time: 0.5290 data_time: 0.0359 memory: 18108 grad_norm: 4.2231 loss: 5.9676 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.2363 top1_acc_1: 0.3765 top5_acc_1: 0.6353 loss_cls_1: 2.7312 2023/01/31 10:47:13 - mmengine - INFO - Epoch(train) [7][1320/1879] lr: 2.7741e-02 eta: 2 days, 16:48:14 time: 0.5152 data_time: 0.0295 memory: 18108 grad_norm: 4.1419 loss: 5.9590 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.3464 top1_acc_1: 0.3412 top5_acc_1: 0.6000 loss_cls_1: 2.6126 2023/01/31 10:47:24 - mmengine - INFO - Epoch(train) [7][1340/1879] lr: 2.7769e-02 eta: 2 days, 16:48:35 time: 0.5397 data_time: 0.0421 memory: 18108 grad_norm: 4.1692 loss: 5.7123 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.1183 top1_acc_1: 0.4471 top5_acc_1: 0.6588 loss_cls_1: 2.5940 2023/01/31 10:47:34 - mmengine - INFO - Epoch(train) [7][1360/1879] lr: 2.7797e-02 eta: 2 days, 16:48:54 time: 0.5360 data_time: 0.0293 memory: 18108 grad_norm: 4.1737 loss: 6.2188 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.5672 top1_acc_1: 0.4235 top5_acc_1: 0.6353 loss_cls_1: 2.6516 2023/01/31 10:47:45 - mmengine - INFO - Epoch(train) [7][1380/1879] lr: 2.7825e-02 eta: 2 days, 16:48:57 time: 0.5156 data_time: 0.0361 memory: 18108 grad_norm: 4.2185 loss: 6.0132 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.4135 top1_acc_1: 0.4000 top5_acc_1: 0.7059 loss_cls_1: 2.5997 2023/01/31 10:47:56 - mmengine - INFO - Epoch(train) [7][1400/1879] lr: 2.7853e-02 eta: 2 days, 16:49:20 time: 0.5436 data_time: 0.0347 memory: 18108 grad_norm: 4.1627 loss: 6.1496 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.4768 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.6728 2023/01/31 10:48:06 - mmengine - INFO - Epoch(train) [7][1420/1879] lr: 2.7882e-02 eta: 2 days, 16:49:42 time: 0.5409 data_time: 0.0360 memory: 18108 grad_norm: 4.1949 loss: 6.0491 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.4083 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.6408 2023/01/31 10:48:17 - mmengine - INFO - Epoch(train) [7][1440/1879] lr: 2.7910e-02 eta: 2 days, 16:49:48 time: 0.5200 data_time: 0.0259 memory: 18108 grad_norm: 4.1507 loss: 6.1501 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.5665 top1_acc_1: 0.3882 top5_acc_1: 0.6824 loss_cls_1: 2.5836 2023/01/31 10:48:27 - mmengine - INFO - Epoch(train) [7][1460/1879] lr: 2.7938e-02 eta: 2 days, 16:49:57 time: 0.5244 data_time: 0.0419 memory: 18108 grad_norm: 4.1525 loss: 5.9174 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 3.4172 top1_acc_1: 0.4235 top5_acc_1: 0.7059 loss_cls_1: 2.5003 2023/01/31 10:48:38 - mmengine - INFO - Epoch(train) [7][1480/1879] lr: 2.7966e-02 eta: 2 days, 16:50:06 time: 0.5244 data_time: 0.0289 memory: 18108 grad_norm: 4.1153 loss: 6.0148 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.3855 top1_acc_1: 0.4353 top5_acc_1: 0.6353 loss_cls_1: 2.6294 2023/01/31 10:48:48 - mmengine - INFO - Epoch(train) [7][1500/1879] lr: 2.7994e-02 eta: 2 days, 16:50:11 time: 0.5192 data_time: 0.0379 memory: 18108 grad_norm: 4.1338 loss: 6.0125 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.4876 top1_acc_1: 0.4235 top5_acc_1: 0.7412 loss_cls_1: 2.5249 2023/01/31 10:48:59 - mmengine - INFO - Epoch(train) [7][1520/1879] lr: 2.8023e-02 eta: 2 days, 16:50:22 time: 0.5271 data_time: 0.0296 memory: 18108 grad_norm: 4.1723 loss: 6.2623 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 3.5378 top1_acc_1: 0.4353 top5_acc_1: 0.6706 loss_cls_1: 2.7246 2023/01/31 10:49:09 - mmengine - INFO - Epoch(train) [7][1540/1879] lr: 2.8051e-02 eta: 2 days, 16:50:30 time: 0.5224 data_time: 0.0456 memory: 18108 grad_norm: 4.1064 loss: 5.7878 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.2274 top1_acc_1: 0.4471 top5_acc_1: 0.6706 loss_cls_1: 2.5604 2023/01/31 10:49:20 - mmengine - INFO - Epoch(train) [7][1560/1879] lr: 2.8079e-02 eta: 2 days, 16:50:38 time: 0.5235 data_time: 0.0297 memory: 18108 grad_norm: 4.2088 loss: 5.8921 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.2934 top1_acc_1: 0.4235 top5_acc_1: 0.7529 loss_cls_1: 2.5987 2023/01/31 10:49:30 - mmengine - INFO - Epoch(train) [7][1580/1879] lr: 2.8107e-02 eta: 2 days, 16:50:41 time: 0.5168 data_time: 0.0354 memory: 18108 grad_norm: 4.1410 loss: 5.6699 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.1358 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 2.5341 2023/01/31 10:49:41 - mmengine - INFO - Epoch(train) [7][1600/1879] lr: 2.8135e-02 eta: 2 days, 16:51:00 time: 0.5376 data_time: 0.0374 memory: 18108 grad_norm: 4.1651 loss: 6.1866 top1_acc_0: 0.0625 top5_acc_0: 0.2500 loss_cls_0: 3.5227 top1_acc_1: 0.3294 top5_acc_1: 0.6706 loss_cls_1: 2.6639 2023/01/31 10:49:51 - mmengine - INFO - Epoch(train) [7][1620/1879] lr: 2.8163e-02 eta: 2 days, 16:51:19 time: 0.5386 data_time: 0.0374 memory: 18108 grad_norm: 4.1352 loss: 6.0369 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.4355 top1_acc_1: 0.4824 top5_acc_1: 0.6941 loss_cls_1: 2.6014 2023/01/31 10:50:02 - mmengine - INFO - Epoch(train) [7][1640/1879] lr: 2.8192e-02 eta: 2 days, 16:51:20 time: 0.5147 data_time: 0.0280 memory: 18108 grad_norm: 4.0855 loss: 5.8939 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.2016 top1_acc_1: 0.3647 top5_acc_1: 0.5882 loss_cls_1: 2.6924 2023/01/31 10:50:12 - mmengine - INFO - Epoch(train) [7][1660/1879] lr: 2.8220e-02 eta: 2 days, 16:51:32 time: 0.5296 data_time: 0.0424 memory: 18108 grad_norm: 4.1319 loss: 6.1779 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 3.4793 top1_acc_1: 0.4353 top5_acc_1: 0.7059 loss_cls_1: 2.6986 2023/01/31 10:50:23 - mmengine - INFO - Epoch(train) [7][1680/1879] lr: 2.8248e-02 eta: 2 days, 16:51:48 time: 0.5335 data_time: 0.0295 memory: 18108 grad_norm: 4.1072 loss: 5.7723 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 3.1535 top1_acc_1: 0.4471 top5_acc_1: 0.7176 loss_cls_1: 2.6188 2023/01/31 10:50:36 - mmengine - INFO - Epoch(train) [7][1700/1879] lr: 2.8276e-02 eta: 2 days, 16:53:25 time: 0.6474 data_time: 0.1547 memory: 18108 grad_norm: 4.0917 loss: 5.6504 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.1157 top1_acc_1: 0.3294 top5_acc_1: 0.6471 loss_cls_1: 2.5346 2023/01/31 10:50:47 - mmengine - INFO - Epoch(train) [7][1720/1879] lr: 2.8304e-02 eta: 2 days, 16:53:38 time: 0.5310 data_time: 0.0412 memory: 18108 grad_norm: 4.1139 loss: 5.9034 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 3.2910 top1_acc_1: 0.4588 top5_acc_1: 0.7059 loss_cls_1: 2.6125 2023/01/31 10:50:50 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 10:50:57 - mmengine - INFO - Epoch(train) [7][1740/1879] lr: 2.8332e-02 eta: 2 days, 16:53:58 time: 0.5418 data_time: 0.0342 memory: 18108 grad_norm: 4.1258 loss: 5.7911 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.2331 top1_acc_1: 0.3882 top5_acc_1: 0.6941 loss_cls_1: 2.5580 2023/01/31 10:51:08 - mmengine - INFO - Epoch(train) [7][1760/1879] lr: 2.8361e-02 eta: 2 days, 16:54:14 time: 0.5343 data_time: 0.0269 memory: 18108 grad_norm: 4.0794 loss: 5.9995 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.3740 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 2.6255 2023/01/31 10:51:18 - mmengine - INFO - Epoch(train) [7][1780/1879] lr: 2.8389e-02 eta: 2 days, 16:54:19 time: 0.5207 data_time: 0.0424 memory: 18108 grad_norm: 4.0818 loss: 6.1201 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 3.5313 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.5889 2023/01/31 10:51:29 - mmengine - INFO - Epoch(train) [7][1800/1879] lr: 2.8417e-02 eta: 2 days, 16:54:33 time: 0.5322 data_time: 0.0274 memory: 18108 grad_norm: 4.0921 loss: 5.8500 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 3.2763 top1_acc_1: 0.4000 top5_acc_1: 0.6118 loss_cls_1: 2.5737 2023/01/31 10:51:40 - mmengine - INFO - Epoch(train) [7][1820/1879] lr: 2.8445e-02 eta: 2 days, 16:54:46 time: 0.5324 data_time: 0.0283 memory: 18108 grad_norm: 4.0726 loss: 6.0317 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.2858 top1_acc_1: 0.4118 top5_acc_1: 0.6941 loss_cls_1: 2.7459 2023/01/31 10:51:50 - mmengine - INFO - Epoch(train) [7][1840/1879] lr: 2.8473e-02 eta: 2 days, 16:54:48 time: 0.5152 data_time: 0.0340 memory: 18108 grad_norm: 4.0674 loss: 5.8223 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.2207 top1_acc_1: 0.4235 top5_acc_1: 0.6706 loss_cls_1: 2.6016 2023/01/31 10:52:01 - mmengine - INFO - Epoch(train) [7][1860/1879] lr: 2.8502e-02 eta: 2 days, 16:54:53 time: 0.5211 data_time: 0.0382 memory: 18108 grad_norm: 4.1260 loss: 5.8689 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 3.2580 top1_acc_1: 0.4235 top5_acc_1: 0.6824 loss_cls_1: 2.6109 2023/01/31 10:52:10 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 10:52:10 - mmengine - INFO - Epoch(train) [7][1879/1879] lr: 2.8528e-02 eta: 2 days, 16:54:39 time: 0.5031 data_time: 0.0341 memory: 18108 grad_norm: 4.2053 loss: 5.9348 top1_acc_0: 0.2857 top5_acc_0: 0.7143 loss_cls_0: 3.3842 top1_acc_1: 0.3882 top5_acc_1: 0.6706 loss_cls_1: 2.5506 2023/01/31 10:52:25 - mmengine - INFO - Epoch(train) [8][ 20/1879] lr: 2.8556e-02 eta: 2 days, 16:56:59 time: 0.7097 data_time: 0.2550 memory: 18108 grad_norm: 4.1161 loss: 6.0694 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.5644 top1_acc_1: 0.4353 top5_acc_1: 0.6471 loss_cls_1: 2.5050 2023/01/31 10:52:34 - mmengine - INFO - Epoch(train) [8][ 40/1879] lr: 2.8585e-02 eta: 2 days, 16:56:24 time: 0.4645 data_time: 0.0312 memory: 18108 grad_norm: 4.0661 loss: 5.9950 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.4639 top1_acc_1: 0.3294 top5_acc_1: 0.5882 loss_cls_1: 2.5311 2023/01/31 10:52:44 - mmengine - INFO - Epoch(train) [8][ 60/1879] lr: 2.8613e-02 eta: 2 days, 16:55:55 time: 0.4730 data_time: 0.0343 memory: 18108 grad_norm: 4.0666 loss: 5.7695 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 3.1885 top1_acc_1: 0.4000 top5_acc_1: 0.6824 loss_cls_1: 2.5810 2023/01/31 10:52:54 - mmengine - INFO - Epoch(train) [8][ 80/1879] lr: 2.8641e-02 eta: 2 days, 16:55:50 time: 0.5072 data_time: 0.0401 memory: 18108 grad_norm: 4.0805 loss: 5.9640 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 3.4699 top1_acc_1: 0.4588 top5_acc_1: 0.6941 loss_cls_1: 2.4941 2023/01/31 10:53:03 - mmengine - INFO - Epoch(train) [8][ 100/1879] lr: 2.8669e-02 eta: 2 days, 16:55:22 time: 0.4748 data_time: 0.0349 memory: 18108 grad_norm: 4.1027 loss: 5.7355 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.1931 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 2.5424 2023/01/31 10:53:13 - mmengine - INFO - Epoch(train) [8][ 120/1879] lr: 2.8697e-02 eta: 2 days, 16:54:50 time: 0.4674 data_time: 0.0305 memory: 18108 grad_norm: 4.0827 loss: 5.9775 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.4283 top1_acc_1: 0.4235 top5_acc_1: 0.6353 loss_cls_1: 2.5492 2023/01/31 10:53:23 - mmengine - INFO - Epoch(train) [8][ 140/1879] lr: 2.8726e-02 eta: 2 days, 16:54:40 time: 0.4999 data_time: 0.0346 memory: 18108 grad_norm: 4.0881 loss: 5.8207 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.2403 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.5804 2023/01/31 10:53:33 - mmengine - INFO - Epoch(train) [8][ 160/1879] lr: 2.8754e-02 eta: 2 days, 16:54:33 time: 0.5034 data_time: 0.0313 memory: 18108 grad_norm: 4.0743 loss: 5.7322 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.1578 top1_acc_1: 0.4118 top5_acc_1: 0.7059 loss_cls_1: 2.5743 2023/01/31 10:53:42 - mmengine - INFO - Epoch(train) [8][ 180/1879] lr: 2.8782e-02 eta: 2 days, 16:54:13 time: 0.4856 data_time: 0.0340 memory: 18108 grad_norm: 4.1189 loss: 5.5088 top1_acc_0: 0.1875 top5_acc_0: 0.2500 loss_cls_0: 3.0281 top1_acc_1: 0.4588 top5_acc_1: 0.6471 loss_cls_1: 2.4807 2023/01/31 10:53:52 - mmengine - INFO - Epoch(train) [8][ 200/1879] lr: 2.8810e-02 eta: 2 days, 16:53:53 time: 0.4855 data_time: 0.0320 memory: 18108 grad_norm: 4.1019 loss: 5.6431 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.1262 top1_acc_1: 0.4471 top5_acc_1: 0.6706 loss_cls_1: 2.5169 2023/01/31 10:54:02 - mmengine - INFO - Epoch(train) [8][ 220/1879] lr: 2.8838e-02 eta: 2 days, 16:53:51 time: 0.5117 data_time: 0.0337 memory: 18108 grad_norm: 4.1080 loss: 5.8145 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 3.2883 top1_acc_1: 0.4118 top5_acc_1: 0.7176 loss_cls_1: 2.5261 2023/01/31 10:54:12 - mmengine - INFO - Epoch(train) [8][ 240/1879] lr: 2.8866e-02 eta: 2 days, 16:53:28 time: 0.4810 data_time: 0.0308 memory: 18108 grad_norm: 4.0810 loss: 5.7126 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.1963 top1_acc_1: 0.4706 top5_acc_1: 0.6941 loss_cls_1: 2.5163 2023/01/31 10:54:22 - mmengine - INFO - Epoch(train) [8][ 260/1879] lr: 2.8895e-02 eta: 2 days, 16:53:12 time: 0.4907 data_time: 0.0345 memory: 18108 grad_norm: 4.1296 loss: 6.0120 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.3980 top1_acc_1: 0.4353 top5_acc_1: 0.7529 loss_cls_1: 2.6140 2023/01/31 10:54:31 - mmengine - INFO - Epoch(train) [8][ 280/1879] lr: 2.8923e-02 eta: 2 days, 16:52:50 time: 0.4824 data_time: 0.0301 memory: 18108 grad_norm: 4.1090 loss: 5.9679 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.3664 top1_acc_1: 0.4235 top5_acc_1: 0.7647 loss_cls_1: 2.6015 2023/01/31 10:54:42 - mmengine - INFO - Epoch(train) [8][ 300/1879] lr: 2.8951e-02 eta: 2 days, 16:52:52 time: 0.5166 data_time: 0.0408 memory: 18108 grad_norm: 4.0567 loss: 5.6569 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.2171 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.4398 2023/01/31 10:54:51 - mmengine - INFO - Epoch(train) [8][ 320/1879] lr: 2.8979e-02 eta: 2 days, 16:52:34 time: 0.4872 data_time: 0.0302 memory: 18108 grad_norm: 4.0882 loss: 5.9785 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 3.4144 top1_acc_1: 0.4000 top5_acc_1: 0.6235 loss_cls_1: 2.5641 2023/01/31 10:55:02 - mmengine - INFO - Epoch(train) [8][ 340/1879] lr: 2.9007e-02 eta: 2 days, 16:52:26 time: 0.5022 data_time: 0.0351 memory: 18108 grad_norm: 4.1052 loss: 5.8251 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.2664 top1_acc_1: 0.4588 top5_acc_1: 0.7059 loss_cls_1: 2.5586 2023/01/31 10:55:11 - mmengine - INFO - Epoch(train) [8][ 360/1879] lr: 2.9035e-02 eta: 2 days, 16:52:14 time: 0.4977 data_time: 0.0311 memory: 18108 grad_norm: 4.0728 loss: 5.7582 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.2174 top1_acc_1: 0.3529 top5_acc_1: 0.6588 loss_cls_1: 2.5408 2023/01/31 10:55:22 - mmengine - INFO - Epoch(train) [8][ 380/1879] lr: 2.9064e-02 eta: 2 days, 16:52:08 time: 0.5055 data_time: 0.0414 memory: 18108 grad_norm: 4.0926 loss: 5.6242 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 3.0881 top1_acc_1: 0.4706 top5_acc_1: 0.6941 loss_cls_1: 2.5360 2023/01/31 10:55:31 - mmengine - INFO - Epoch(train) [8][ 400/1879] lr: 2.9092e-02 eta: 2 days, 16:51:54 time: 0.4929 data_time: 0.0305 memory: 18108 grad_norm: 4.0828 loss: 5.8621 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 3.3568 top1_acc_1: 0.4000 top5_acc_1: 0.6706 loss_cls_1: 2.5052 2023/01/31 10:55:41 - mmengine - INFO - Epoch(train) [8][ 420/1879] lr: 2.9120e-02 eta: 2 days, 16:51:37 time: 0.4903 data_time: 0.0369 memory: 18108 grad_norm: 4.0609 loss: 5.8333 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 3.2618 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 2.5715 2023/01/31 10:55:51 - mmengine - INFO - Epoch(train) [8][ 440/1879] lr: 2.9148e-02 eta: 2 days, 16:51:34 time: 0.5092 data_time: 0.0392 memory: 18108 grad_norm: 4.0887 loss: 5.8069 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 3.2750 top1_acc_1: 0.4471 top5_acc_1: 0.7647 loss_cls_1: 2.5318 2023/01/31 10:56:01 - mmengine - INFO - Epoch(train) [8][ 460/1879] lr: 2.9176e-02 eta: 2 days, 16:51:26 time: 0.5028 data_time: 0.0334 memory: 18108 grad_norm: 4.1079 loss: 5.9114 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.3481 top1_acc_1: 0.4706 top5_acc_1: 0.6235 loss_cls_1: 2.5633 2023/01/31 10:56:11 - mmengine - INFO - Epoch(train) [8][ 480/1879] lr: 2.9205e-02 eta: 2 days, 16:51:09 time: 0.4894 data_time: 0.0273 memory: 18108 grad_norm: 4.1136 loss: 5.9147 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.3234 top1_acc_1: 0.3882 top5_acc_1: 0.6353 loss_cls_1: 2.5913 2023/01/31 10:56:22 - mmengine - INFO - Epoch(train) [8][ 500/1879] lr: 2.9233e-02 eta: 2 days, 16:51:15 time: 0.5216 data_time: 0.0425 memory: 18108 grad_norm: 4.1091 loss: 6.0173 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.4283 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 2.5890 2023/01/31 10:56:32 - mmengine - INFO - Epoch(train) [8][ 520/1879] lr: 2.9261e-02 eta: 2 days, 16:51:00 time: 0.4923 data_time: 0.0305 memory: 18108 grad_norm: 4.0064 loss: 5.8223 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 3.1948 top1_acc_1: 0.3647 top5_acc_1: 0.6588 loss_cls_1: 2.6274 2023/01/31 10:56:42 - mmengine - INFO - Epoch(train) [8][ 540/1879] lr: 2.9289e-02 eta: 2 days, 16:51:01 time: 0.5168 data_time: 0.0357 memory: 18108 grad_norm: 4.0763 loss: 5.9334 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.4200 top1_acc_1: 0.5294 top5_acc_1: 0.6941 loss_cls_1: 2.5134 2023/01/31 10:56:52 - mmengine - INFO - Epoch(train) [8][ 560/1879] lr: 2.9317e-02 eta: 2 days, 16:50:47 time: 0.4933 data_time: 0.0274 memory: 18108 grad_norm: 4.0805 loss: 5.8555 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.2665 top1_acc_1: 0.4235 top5_acc_1: 0.6706 loss_cls_1: 2.5890 2023/01/31 10:57:02 - mmengine - INFO - Epoch(train) [8][ 580/1879] lr: 2.9345e-02 eta: 2 days, 16:50:49 time: 0.5170 data_time: 0.0416 memory: 18108 grad_norm: 4.1004 loss: 5.9639 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.3916 top1_acc_1: 0.3176 top5_acc_1: 0.6118 loss_cls_1: 2.5723 2023/01/31 10:57:12 - mmengine - INFO - Epoch(train) [8][ 600/1879] lr: 2.9374e-02 eta: 2 days, 16:50:42 time: 0.5045 data_time: 0.0296 memory: 18108 grad_norm: 4.0941 loss: 5.9046 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 3.2917 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.6129 2023/01/31 10:57:22 - mmengine - INFO - Epoch(train) [8][ 620/1879] lr: 2.9402e-02 eta: 2 days, 16:50:41 time: 0.5125 data_time: 0.0361 memory: 18108 grad_norm: 4.0768 loss: 5.6775 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.1937 top1_acc_1: 0.4941 top5_acc_1: 0.6353 loss_cls_1: 2.4838 2023/01/31 10:57:33 - mmengine - INFO - Epoch(train) [8][ 640/1879] lr: 2.9430e-02 eta: 2 days, 16:50:40 time: 0.5132 data_time: 0.0278 memory: 18108 grad_norm: 4.0819 loss: 5.9392 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.4032 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 2.5360 2023/01/31 10:57:43 - mmengine - INFO - Epoch(train) [8][ 660/1879] lr: 2.9458e-02 eta: 2 days, 16:50:38 time: 0.5102 data_time: 0.0378 memory: 18108 grad_norm: 4.0504 loss: 5.7612 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.1892 top1_acc_1: 0.4235 top5_acc_1: 0.6471 loss_cls_1: 2.5720 2023/01/31 10:57:53 - mmengine - INFO - Epoch(train) [8][ 680/1879] lr: 2.9486e-02 eta: 2 days, 16:50:35 time: 0.5113 data_time: 0.0278 memory: 18108 grad_norm: 4.0364 loss: 5.8677 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.4251 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.4427 2023/01/31 10:58:03 - mmengine - INFO - Epoch(train) [8][ 700/1879] lr: 2.9514e-02 eta: 2 days, 16:50:35 time: 0.5132 data_time: 0.0358 memory: 18108 grad_norm: 4.0135 loss: 5.8641 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 3.2862 top1_acc_1: 0.4353 top5_acc_1: 0.7176 loss_cls_1: 2.5779 2023/01/31 10:58:14 - mmengine - INFO - Epoch(train) [8][ 720/1879] lr: 2.9543e-02 eta: 2 days, 16:50:38 time: 0.5190 data_time: 0.0291 memory: 18108 grad_norm: 4.0591 loss: 5.9421 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.4151 top1_acc_1: 0.4000 top5_acc_1: 0.6353 loss_cls_1: 2.5270 2023/01/31 10:58:24 - mmengine - INFO - Epoch(train) [8][ 740/1879] lr: 2.9571e-02 eta: 2 days, 16:50:35 time: 0.5102 data_time: 0.0372 memory: 18108 grad_norm: 4.0632 loss: 6.0740 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.4446 top1_acc_1: 0.4824 top5_acc_1: 0.6824 loss_cls_1: 2.6293 2023/01/31 10:58:34 - mmengine - INFO - Epoch(train) [8][ 760/1879] lr: 2.9599e-02 eta: 2 days, 16:50:37 time: 0.5187 data_time: 0.0299 memory: 18108 grad_norm: 4.0766 loss: 5.7941 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.2728 top1_acc_1: 0.4353 top5_acc_1: 0.6235 loss_cls_1: 2.5212 2023/01/31 10:58:45 - mmengine - INFO - Epoch(train) [8][ 780/1879] lr: 2.9627e-02 eta: 2 days, 16:50:37 time: 0.5142 data_time: 0.0362 memory: 18108 grad_norm: 4.0617 loss: 5.9116 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 3.4130 top1_acc_1: 0.4235 top5_acc_1: 0.7176 loss_cls_1: 2.4986 2023/01/31 10:58:55 - mmengine - INFO - Epoch(train) [8][ 800/1879] lr: 2.9655e-02 eta: 2 days, 16:50:26 time: 0.4973 data_time: 0.0294 memory: 18108 grad_norm: 4.0907 loss: 5.5706 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.0750 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.4956 2023/01/31 10:59:05 - mmengine - INFO - Epoch(train) [8][ 820/1879] lr: 2.9683e-02 eta: 2 days, 16:50:20 time: 0.5066 data_time: 0.0347 memory: 18108 grad_norm: 4.0801 loss: 5.7614 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.2687 top1_acc_1: 0.4000 top5_acc_1: 0.7412 loss_cls_1: 2.4927 2023/01/31 10:59:15 - mmengine - INFO - Epoch(train) [8][ 840/1879] lr: 2.9712e-02 eta: 2 days, 16:50:09 time: 0.4977 data_time: 0.0323 memory: 18108 grad_norm: 4.0009 loss: 5.8140 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 3.3072 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.5068 2023/01/31 10:59:19 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 10:59:25 - mmengine - INFO - Epoch(train) [8][ 860/1879] lr: 2.9740e-02 eta: 2 days, 16:50:10 time: 0.5168 data_time: 0.0342 memory: 18108 grad_norm: 4.0638 loss: 5.8142 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.2358 top1_acc_1: 0.4471 top5_acc_1: 0.7412 loss_cls_1: 2.5784 2023/01/31 10:59:35 - mmengine - INFO - Epoch(train) [8][ 880/1879] lr: 2.9768e-02 eta: 2 days, 16:49:59 time: 0.4984 data_time: 0.0323 memory: 18108 grad_norm: 3.9788 loss: 5.6683 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.1492 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 2.5191 2023/01/31 10:59:45 - mmengine - INFO - Epoch(train) [8][ 900/1879] lr: 2.9796e-02 eta: 2 days, 16:50:00 time: 0.5157 data_time: 0.0407 memory: 18108 grad_norm: 4.0253 loss: 5.7376 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.2120 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 2.5256 2023/01/31 10:59:56 - mmengine - INFO - Epoch(train) [8][ 920/1879] lr: 2.9824e-02 eta: 2 days, 16:49:56 time: 0.5094 data_time: 0.0309 memory: 18108 grad_norm: 4.0325 loss: 5.5310 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.0310 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 2.5000 2023/01/31 11:00:05 - mmengine - INFO - Epoch(train) [8][ 940/1879] lr: 2.9853e-02 eta: 2 days, 16:49:44 time: 0.4974 data_time: 0.0348 memory: 18108 grad_norm: 4.0771 loss: 5.9677 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 3.3247 top1_acc_1: 0.4588 top5_acc_1: 0.6824 loss_cls_1: 2.6430 2023/01/31 11:00:16 - mmengine - INFO - Epoch(train) [8][ 960/1879] lr: 2.9881e-02 eta: 2 days, 16:49:37 time: 0.5035 data_time: 0.0386 memory: 18108 grad_norm: 4.0460 loss: 5.8675 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.3414 top1_acc_1: 0.4824 top5_acc_1: 0.6824 loss_cls_1: 2.5261 2023/01/31 11:00:26 - mmengine - INFO - Epoch(train) [8][ 980/1879] lr: 2.9909e-02 eta: 2 days, 16:49:32 time: 0.5072 data_time: 0.0340 memory: 18108 grad_norm: 4.0181 loss: 5.9839 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.3988 top1_acc_1: 0.5176 top5_acc_1: 0.6824 loss_cls_1: 2.5851 2023/01/31 11:00:36 - mmengine - INFO - Epoch(train) [8][1000/1879] lr: 2.9937e-02 eta: 2 days, 16:49:16 time: 0.4919 data_time: 0.0310 memory: 18108 grad_norm: 4.0323 loss: 5.6481 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.1631 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.4850 2023/01/31 11:00:46 - mmengine - INFO - Epoch(train) [8][1020/1879] lr: 2.9965e-02 eta: 2 days, 16:49:09 time: 0.5035 data_time: 0.0328 memory: 18108 grad_norm: 4.0748 loss: 5.8983 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 3.3737 top1_acc_1: 0.4235 top5_acc_1: 0.6588 loss_cls_1: 2.5246 2023/01/31 11:00:56 - mmengine - INFO - Epoch(train) [8][1040/1879] lr: 2.9993e-02 eta: 2 days, 16:49:03 time: 0.5059 data_time: 0.0414 memory: 18108 grad_norm: 4.0057 loss: 5.7668 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.2001 top1_acc_1: 0.4353 top5_acc_1: 0.6824 loss_cls_1: 2.5667 2023/01/31 11:01:06 - mmengine - INFO - Epoch(train) [8][1060/1879] lr: 3.0022e-02 eta: 2 days, 16:48:54 time: 0.5021 data_time: 0.0350 memory: 18108 grad_norm: 4.0208 loss: 5.7695 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.3038 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 2.4657 2023/01/31 11:01:16 - mmengine - INFO - Epoch(train) [8][1080/1879] lr: 3.0050e-02 eta: 2 days, 16:48:42 time: 0.4968 data_time: 0.0330 memory: 18108 grad_norm: 4.0342 loss: 5.7946 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 3.2566 top1_acc_1: 0.4235 top5_acc_1: 0.6118 loss_cls_1: 2.5380 2023/01/31 11:01:26 - mmengine - INFO - Epoch(train) [8][1100/1879] lr: 3.0078e-02 eta: 2 days, 16:48:28 time: 0.4936 data_time: 0.0394 memory: 18108 grad_norm: 4.0490 loss: 5.9116 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.3834 top1_acc_1: 0.5176 top5_acc_1: 0.6824 loss_cls_1: 2.5283 2023/01/31 11:01:36 - mmengine - INFO - Epoch(train) [8][1120/1879] lr: 3.0106e-02 eta: 2 days, 16:48:21 time: 0.5034 data_time: 0.0348 memory: 18108 grad_norm: 4.0009 loss: 5.8747 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.3885 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.4861 2023/01/31 11:01:47 - mmengine - INFO - Epoch(train) [8][1140/1879] lr: 3.0134e-02 eta: 2 days, 16:49:00 time: 0.5755 data_time: 0.0334 memory: 18108 grad_norm: 3.9721 loss: 5.9454 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.3747 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.5707 2023/01/31 11:01:57 - mmengine - INFO - Epoch(train) [8][1160/1879] lr: 3.0162e-02 eta: 2 days, 16:48:52 time: 0.5023 data_time: 0.0336 memory: 18108 grad_norm: 4.0465 loss: 5.7486 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 3.1594 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 2.5892 2023/01/31 11:02:07 - mmengine - INFO - Epoch(train) [8][1180/1879] lr: 3.0191e-02 eta: 2 days, 16:48:48 time: 0.5103 data_time: 0.0385 memory: 18108 grad_norm: 4.0185 loss: 5.7067 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.2601 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.4466 2023/01/31 11:02:17 - mmengine - INFO - Epoch(train) [8][1200/1879] lr: 3.0219e-02 eta: 2 days, 16:48:41 time: 0.5045 data_time: 0.0321 memory: 18108 grad_norm: 4.0410 loss: 6.0106 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.4397 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.5709 2023/01/31 11:02:27 - mmengine - INFO - Epoch(train) [8][1220/1879] lr: 3.0247e-02 eta: 2 days, 16:48:31 time: 0.5003 data_time: 0.0324 memory: 18108 grad_norm: 4.0344 loss: 5.7975 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 3.2940 top1_acc_1: 0.4353 top5_acc_1: 0.6235 loss_cls_1: 2.5035 2023/01/31 11:02:37 - mmengine - INFO - Epoch(train) [8][1240/1879] lr: 3.0275e-02 eta: 2 days, 16:48:17 time: 0.4926 data_time: 0.0333 memory: 18108 grad_norm: 3.9666 loss: 5.7787 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.1551 top1_acc_1: 0.4235 top5_acc_1: 0.6824 loss_cls_1: 2.6236 2023/01/31 11:02:47 - mmengine - INFO - Epoch(train) [8][1260/1879] lr: 3.0303e-02 eta: 2 days, 16:48:07 time: 0.5010 data_time: 0.0324 memory: 18108 grad_norm: 3.9849 loss: 5.4733 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.0539 top1_acc_1: 0.4706 top5_acc_1: 0.6824 loss_cls_1: 2.4195 2023/01/31 11:02:57 - mmengine - INFO - Epoch(train) [8][1280/1879] lr: 3.0332e-02 eta: 2 days, 16:47:48 time: 0.4859 data_time: 0.0328 memory: 18108 grad_norm: 4.0026 loss: 5.7622 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.1794 top1_acc_1: 0.4353 top5_acc_1: 0.6235 loss_cls_1: 2.5828 2023/01/31 11:03:07 - mmengine - INFO - Epoch(train) [8][1300/1879] lr: 3.0360e-02 eta: 2 days, 16:47:44 time: 0.5081 data_time: 0.0403 memory: 18108 grad_norm: 4.0182 loss: 5.6501 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.1021 top1_acc_1: 0.3765 top5_acc_1: 0.6353 loss_cls_1: 2.5480 2023/01/31 11:03:17 - mmengine - INFO - Epoch(train) [8][1320/1879] lr: 3.0388e-02 eta: 2 days, 16:47:34 time: 0.4999 data_time: 0.0338 memory: 18108 grad_norm: 4.0031 loss: 5.6946 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 3.2822 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.4124 2023/01/31 11:03:27 - mmengine - INFO - Epoch(train) [8][1340/1879] lr: 3.0416e-02 eta: 2 days, 16:47:22 time: 0.4975 data_time: 0.0330 memory: 18108 grad_norm: 3.9528 loss: 5.9284 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 3.3208 top1_acc_1: 0.4000 top5_acc_1: 0.6118 loss_cls_1: 2.6075 2023/01/31 11:03:37 - mmengine - INFO - Epoch(train) [8][1360/1879] lr: 3.0444e-02 eta: 2 days, 16:47:11 time: 0.4978 data_time: 0.0324 memory: 18108 grad_norm: 3.9804 loss: 5.8209 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.2054 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 2.6155 2023/01/31 11:03:47 - mmengine - INFO - Epoch(train) [8][1380/1879] lr: 3.0472e-02 eta: 2 days, 16:47:00 time: 0.4999 data_time: 0.0404 memory: 18108 grad_norm: 4.0354 loss: 6.0491 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.5254 top1_acc_1: 0.4471 top5_acc_1: 0.6941 loss_cls_1: 2.5237 2023/01/31 11:03:57 - mmengine - INFO - Epoch(train) [8][1400/1879] lr: 3.0501e-02 eta: 2 days, 16:46:48 time: 0.4966 data_time: 0.0321 memory: 18108 grad_norm: 4.0054 loss: 5.8450 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.2279 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.6171 2023/01/31 11:04:07 - mmengine - INFO - Epoch(train) [8][1420/1879] lr: 3.0529e-02 eta: 2 days, 16:46:42 time: 0.5059 data_time: 0.0318 memory: 18108 grad_norm: 4.0128 loss: 5.7123 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.2474 top1_acc_1: 0.4588 top5_acc_1: 0.7059 loss_cls_1: 2.4649 2023/01/31 11:04:17 - mmengine - INFO - Epoch(train) [8][1440/1879] lr: 3.0557e-02 eta: 2 days, 16:46:28 time: 0.4931 data_time: 0.0324 memory: 18108 grad_norm: 4.0801 loss: 5.6373 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.1184 top1_acc_1: 0.4588 top5_acc_1: 0.7412 loss_cls_1: 2.5189 2023/01/31 11:04:27 - mmengine - INFO - Epoch(train) [8][1460/1879] lr: 3.0585e-02 eta: 2 days, 16:46:22 time: 0.5072 data_time: 0.0325 memory: 18108 grad_norm: 3.9679 loss: 5.8726 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 3.3884 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.4842 2023/01/31 11:04:37 - mmengine - INFO - Epoch(train) [8][1480/1879] lr: 3.0613e-02 eta: 2 days, 16:46:05 time: 0.4877 data_time: 0.0340 memory: 18108 grad_norm: 3.9658 loss: 5.8134 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.3357 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.4777 2023/01/31 11:04:47 - mmengine - INFO - Epoch(train) [8][1500/1879] lr: 3.0641e-02 eta: 2 days, 16:45:59 time: 0.5069 data_time: 0.0410 memory: 18108 grad_norm: 3.9944 loss: 5.7614 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 3.3043 top1_acc_1: 0.3882 top5_acc_1: 0.7294 loss_cls_1: 2.4571 2023/01/31 11:04:57 - mmengine - INFO - Epoch(train) [8][1520/1879] lr: 3.0670e-02 eta: 2 days, 16:45:55 time: 0.5087 data_time: 0.0350 memory: 18108 grad_norm: 3.9733 loss: 5.7596 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.2398 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.5198 2023/01/31 11:05:07 - mmengine - INFO - Epoch(train) [8][1540/1879] lr: 3.0698e-02 eta: 2 days, 16:45:42 time: 0.4959 data_time: 0.0335 memory: 18108 grad_norm: 3.9785 loss: 5.4047 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9547 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 2.4500 2023/01/31 11:05:17 - mmengine - INFO - Epoch(train) [8][1560/1879] lr: 3.0726e-02 eta: 2 days, 16:45:29 time: 0.4946 data_time: 0.0359 memory: 18108 grad_norm: 4.0200 loss: 5.8281 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.3020 top1_acc_1: 0.4235 top5_acc_1: 0.7059 loss_cls_1: 2.5261 2023/01/31 11:05:27 - mmengine - INFO - Epoch(train) [8][1580/1879] lr: 3.0754e-02 eta: 2 days, 16:45:18 time: 0.4993 data_time: 0.0400 memory: 18108 grad_norm: 3.9204 loss: 5.8116 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.2659 top1_acc_1: 0.3765 top5_acc_1: 0.6941 loss_cls_1: 2.5457 2023/01/31 11:05:37 - mmengine - INFO - Epoch(train) [8][1600/1879] lr: 3.0782e-02 eta: 2 days, 16:45:10 time: 0.5027 data_time: 0.0354 memory: 18108 grad_norm: 3.9638 loss: 5.6797 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.1885 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 2.4912 2023/01/31 11:05:47 - mmengine - INFO - Epoch(train) [8][1620/1879] lr: 3.0811e-02 eta: 2 days, 16:45:04 time: 0.5064 data_time: 0.0320 memory: 18108 grad_norm: 3.9685 loss: 5.9257 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.3727 top1_acc_1: 0.4588 top5_acc_1: 0.5765 loss_cls_1: 2.5530 2023/01/31 11:05:57 - mmengine - INFO - Epoch(train) [8][1640/1879] lr: 3.0839e-02 eta: 2 days, 16:44:53 time: 0.4991 data_time: 0.0379 memory: 18108 grad_norm: 3.9373 loss: 5.6846 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 3.2803 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.4043 2023/01/31 11:06:08 - mmengine - INFO - Epoch(train) [8][1660/1879] lr: 3.0867e-02 eta: 2 days, 16:44:55 time: 0.5182 data_time: 0.0320 memory: 18108 grad_norm: 3.9866 loss: 5.8928 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 3.4947 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 2.3981 2023/01/31 11:06:18 - mmengine - INFO - Epoch(train) [8][1680/1879] lr: 3.0895e-02 eta: 2 days, 16:44:44 time: 0.4990 data_time: 0.0335 memory: 18108 grad_norm: 3.9585 loss: 5.5785 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 3.1097 top1_acc_1: 0.4235 top5_acc_1: 0.6471 loss_cls_1: 2.4688 2023/01/31 11:06:28 - mmengine - INFO - Epoch(train) [8][1700/1879] lr: 3.0923e-02 eta: 2 days, 16:44:42 time: 0.5120 data_time: 0.0392 memory: 18108 grad_norm: 3.9586 loss: 5.6153 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 3.1617 top1_acc_1: 0.5176 top5_acc_1: 0.6706 loss_cls_1: 2.4535 2023/01/31 11:06:38 - mmengine - INFO - Epoch(train) [8][1720/1879] lr: 3.0951e-02 eta: 2 days, 16:44:29 time: 0.4951 data_time: 0.0348 memory: 18108 grad_norm: 4.0131 loss: 5.6147 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 3.0936 top1_acc_1: 0.4471 top5_acc_1: 0.7647 loss_cls_1: 2.5211 2023/01/31 11:06:48 - mmengine - INFO - Epoch(train) [8][1740/1879] lr: 3.0980e-02 eta: 2 days, 16:44:30 time: 0.5173 data_time: 0.0325 memory: 18108 grad_norm: 3.9301 loss: 5.8592 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.2775 top1_acc_1: 0.3765 top5_acc_1: 0.6118 loss_cls_1: 2.5816 2023/01/31 11:06:58 - mmengine - INFO - Epoch(train) [8][1760/1879] lr: 3.1008e-02 eta: 2 days, 16:44:21 time: 0.5025 data_time: 0.0329 memory: 18108 grad_norm: 4.0554 loss: 5.9258 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.3471 top1_acc_1: 0.4235 top5_acc_1: 0.6824 loss_cls_1: 2.5788 2023/01/31 11:07:09 - mmengine - INFO - Epoch(train) [8][1780/1879] lr: 3.1036e-02 eta: 2 days, 16:44:29 time: 0.5282 data_time: 0.0398 memory: 18108 grad_norm: 3.9514 loss: 5.7129 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.1839 top1_acc_1: 0.4588 top5_acc_1: 0.6588 loss_cls_1: 2.5290 2023/01/31 11:07:19 - mmengine - INFO - Epoch(train) [8][1800/1879] lr: 3.1064e-02 eta: 2 days, 16:44:15 time: 0.4945 data_time: 0.0337 memory: 18108 grad_norm: 3.9794 loss: 5.7854 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.2612 top1_acc_1: 0.4118 top5_acc_1: 0.6706 loss_cls_1: 2.5242 2023/01/31 11:07:29 - mmengine - INFO - Epoch(train) [8][1820/1879] lr: 3.1092e-02 eta: 2 days, 16:44:05 time: 0.5003 data_time: 0.0334 memory: 18108 grad_norm: 3.9556 loss: 5.7402 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.1947 top1_acc_1: 0.4471 top5_acc_1: 0.6471 loss_cls_1: 2.5455 2023/01/31 11:07:39 - mmengine - INFO - Epoch(train) [8][1840/1879] lr: 3.1120e-02 eta: 2 days, 16:43:58 time: 0.5038 data_time: 0.0405 memory: 18108 grad_norm: 3.9660 loss: 5.7297 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 3.2853 top1_acc_1: 0.3765 top5_acc_1: 0.6000 loss_cls_1: 2.4444 2023/01/31 11:07:42 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 11:07:49 - mmengine - INFO - Epoch(train) [8][1860/1879] lr: 3.1149e-02 eta: 2 days, 16:43:49 time: 0.5021 data_time: 0.0339 memory: 18108 grad_norm: 3.9708 loss: 5.8184 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.3286 top1_acc_1: 0.4235 top5_acc_1: 0.6824 loss_cls_1: 2.4898 2023/01/31 11:07:58 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 11:07:58 - mmengine - INFO - Epoch(train) [8][1879/1879] lr: 3.1175e-02 eta: 2 days, 16:43:31 time: 0.4876 data_time: 0.0291 memory: 18108 grad_norm: 4.0678 loss: 5.8738 top1_acc_0: 0.1429 top5_acc_0: 0.7143 loss_cls_0: 3.3132 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 2.5607 2023/01/31 11:07:59 - mmengine - INFO - Saving checkpoint at 8 epochs 2023/01/31 11:08:09 - mmengine - INFO - Epoch(val) [8][ 20/155] eta: 0:01:02 time: 0.4658 data_time: 0.3535 memory: 1906 2023/01/31 11:08:18 - mmengine - INFO - Epoch(val) [8][ 40/155] eta: 0:00:51 time: 0.4331 data_time: 0.3218 memory: 1906 2023/01/31 11:08:26 - mmengine - INFO - Epoch(val) [8][ 60/155] eta: 0:00:42 time: 0.4326 data_time: 0.3217 memory: 1906 2023/01/31 11:08:36 - mmengine - INFO - Epoch(val) [8][ 80/155] eta: 0:00:33 time: 0.4664 data_time: 0.3553 memory: 1906 2023/01/31 11:08:45 - mmengine - INFO - Epoch(val) [8][100/155] eta: 0:00:24 time: 0.4413 data_time: 0.3298 memory: 1906 2023/01/31 11:08:54 - mmengine - INFO - Epoch(val) [8][120/155] eta: 0:00:15 time: 0.4474 data_time: 0.3364 memory: 1906 2023/01/31 11:09:02 - mmengine - INFO - Epoch(val) [8][140/155] eta: 0:00:06 time: 0.4393 data_time: 0.3288 memory: 1906 2023/01/31 11:09:10 - mmengine - INFO - Epoch(val) [8][155/155] acc/top1: 0.3097 acc/top5: 0.5640 acc/mean1: 0.3094 2023/01/31 11:09:10 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_4.pth is removed 2023/01/31 11:09:11 - mmengine - INFO - The best checkpoint with 0.3097 acc/top1 at 8 epoch is saved to best_acc/top1_epoch_8.pth. 2023/01/31 11:09:25 - mmengine - INFO - Epoch(train) [9][ 20/1879] lr: 3.1204e-02 eta: 2 days, 16:45:07 time: 0.6700 data_time: 0.2341 memory: 18108 grad_norm: 3.9948 loss: 5.5634 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 3.0578 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 2.5056 2023/01/31 11:09:34 - mmengine - INFO - Epoch(train) [9][ 40/1879] lr: 3.1232e-02 eta: 2 days, 16:44:37 time: 0.4694 data_time: 0.0321 memory: 18108 grad_norm: 3.9852 loss: 5.7056 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.2702 top1_acc_1: 0.3882 top5_acc_1: 0.6588 loss_cls_1: 2.4355 2023/01/31 11:09:44 - mmengine - INFO - Epoch(train) [9][ 60/1879] lr: 3.1260e-02 eta: 2 days, 16:44:18 time: 0.4856 data_time: 0.0378 memory: 18108 grad_norm: 3.9190 loss: 5.5497 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 3.0835 top1_acc_1: 0.4000 top5_acc_1: 0.7059 loss_cls_1: 2.4663 2023/01/31 11:09:54 - mmengine - INFO - Epoch(train) [9][ 80/1879] lr: 3.1288e-02 eta: 2 days, 16:44:22 time: 0.5226 data_time: 0.0298 memory: 18108 grad_norm: 3.9269 loss: 5.7018 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.2149 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 2.4869 2023/01/31 11:10:04 - mmengine - INFO - Epoch(train) [9][ 100/1879] lr: 3.1316e-02 eta: 2 days, 16:43:56 time: 0.4731 data_time: 0.0388 memory: 18108 grad_norm: 3.9422 loss: 5.6856 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.2987 top1_acc_1: 0.4353 top5_acc_1: 0.6706 loss_cls_1: 2.3869 2023/01/31 11:10:13 - mmengine - INFO - Epoch(train) [9][ 120/1879] lr: 3.1344e-02 eta: 2 days, 16:43:29 time: 0.4735 data_time: 0.0315 memory: 18108 grad_norm: 3.9520 loss: 5.8014 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.3436 top1_acc_1: 0.4118 top5_acc_1: 0.6941 loss_cls_1: 2.4578 2023/01/31 11:10:26 - mmengine - INFO - Epoch(train) [9][ 140/1879] lr: 3.1373e-02 eta: 2 days, 16:44:48 time: 0.6451 data_time: 0.0458 memory: 18108 grad_norm: 3.9883 loss: 5.7155 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.4020 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.3134 2023/01/31 11:10:36 - mmengine - INFO - Epoch(train) [9][ 160/1879] lr: 3.1401e-02 eta: 2 days, 16:44:24 time: 0.4779 data_time: 0.0326 memory: 18108 grad_norm: 3.9607 loss: 5.4545 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.0811 top1_acc_1: 0.4706 top5_acc_1: 0.6588 loss_cls_1: 2.3734 2023/01/31 11:10:45 - mmengine - INFO - Epoch(train) [9][ 180/1879] lr: 3.1429e-02 eta: 2 days, 16:44:02 time: 0.4808 data_time: 0.0354 memory: 18108 grad_norm: 3.9598 loss: 5.5418 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.1119 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.4299 2023/01/31 11:10:55 - mmengine - INFO - Epoch(train) [9][ 200/1879] lr: 3.1457e-02 eta: 2 days, 16:43:45 time: 0.4877 data_time: 0.0498 memory: 18108 grad_norm: 4.0051 loss: 5.6761 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 3.1745 top1_acc_1: 0.5059 top5_acc_1: 0.7059 loss_cls_1: 2.5016 2023/01/31 11:11:05 - mmengine - INFO - Epoch(train) [9][ 220/1879] lr: 3.1485e-02 eta: 2 days, 16:43:41 time: 0.5109 data_time: 0.0338 memory: 18108 grad_norm: 3.9873 loss: 5.6121 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.2160 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 2.3961 2023/01/31 11:11:15 - mmengine - INFO - Epoch(train) [9][ 240/1879] lr: 3.1514e-02 eta: 2 days, 16:43:16 time: 0.4747 data_time: 0.0313 memory: 18108 grad_norm: 3.9638 loss: 5.7322 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 3.3887 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.3436 2023/01/31 11:11:24 - mmengine - INFO - Epoch(train) [9][ 260/1879] lr: 3.1542e-02 eta: 2 days, 16:42:52 time: 0.4781 data_time: 0.0327 memory: 18108 grad_norm: 3.9293 loss: 5.5515 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.2585 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 2.2930 2023/01/31 11:11:34 - mmengine - INFO - Epoch(train) [9][ 280/1879] lr: 3.1570e-02 eta: 2 days, 16:42:36 time: 0.4896 data_time: 0.0310 memory: 18108 grad_norm: 3.9939 loss: 5.7616 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 3.2733 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.4883 2023/01/31 11:11:44 - mmengine - INFO - Epoch(train) [9][ 300/1879] lr: 3.1598e-02 eta: 2 days, 16:42:25 time: 0.4999 data_time: 0.0335 memory: 18108 grad_norm: 3.9692 loss: 5.7759 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 3.3430 top1_acc_1: 0.4000 top5_acc_1: 0.6706 loss_cls_1: 2.4329 2023/01/31 11:11:53 - mmengine - INFO - Epoch(train) [9][ 320/1879] lr: 3.1626e-02 eta: 2 days, 16:42:00 time: 0.4747 data_time: 0.0324 memory: 18108 grad_norm: 3.9197 loss: 5.7199 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.3033 top1_acc_1: 0.4471 top5_acc_1: 0.7412 loss_cls_1: 2.4166 2023/01/31 11:12:03 - mmengine - INFO - Epoch(train) [9][ 340/1879] lr: 3.1654e-02 eta: 2 days, 16:41:48 time: 0.4962 data_time: 0.0400 memory: 18108 grad_norm: 3.8663 loss: 5.7613 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 3.3174 top1_acc_1: 0.5059 top5_acc_1: 0.6941 loss_cls_1: 2.4439 2023/01/31 11:12:13 - mmengine - INFO - Epoch(train) [9][ 360/1879] lr: 3.1683e-02 eta: 2 days, 16:41:36 time: 0.4972 data_time: 0.0313 memory: 18108 grad_norm: 3.9331 loss: 5.8488 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 3.4249 top1_acc_1: 0.4235 top5_acc_1: 0.6235 loss_cls_1: 2.4239 2023/01/31 11:12:23 - mmengine - INFO - Epoch(train) [9][ 380/1879] lr: 3.1711e-02 eta: 2 days, 16:41:22 time: 0.4934 data_time: 0.0337 memory: 18108 grad_norm: 3.9324 loss: 5.4820 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 3.0062 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.4759 2023/01/31 11:12:33 - mmengine - INFO - Epoch(train) [9][ 400/1879] lr: 3.1739e-02 eta: 2 days, 16:40:56 time: 0.4736 data_time: 0.0342 memory: 18108 grad_norm: 3.9162 loss: 5.7694 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.2960 top1_acc_1: 0.3882 top5_acc_1: 0.6824 loss_cls_1: 2.4734 2023/01/31 11:12:43 - mmengine - INFO - Epoch(train) [9][ 420/1879] lr: 3.1767e-02 eta: 2 days, 16:40:48 time: 0.5033 data_time: 0.0401 memory: 18108 grad_norm: 3.9604 loss: 5.6391 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 3.2638 top1_acc_1: 0.3882 top5_acc_1: 0.6353 loss_cls_1: 2.3753 2023/01/31 11:12:53 - mmengine - INFO - Epoch(train) [9][ 440/1879] lr: 3.1795e-02 eta: 2 days, 16:40:32 time: 0.4914 data_time: 0.0314 memory: 18108 grad_norm: 3.9029 loss: 5.5783 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 3.1314 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.4470 2023/01/31 11:13:02 - mmengine - INFO - Epoch(train) [9][ 460/1879] lr: 3.1823e-02 eta: 2 days, 16:40:18 time: 0.4927 data_time: 0.0328 memory: 18108 grad_norm: 3.9176 loss: 5.6305 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.1502 top1_acc_1: 0.4706 top5_acc_1: 0.6471 loss_cls_1: 2.4802 2023/01/31 11:13:12 - mmengine - INFO - Epoch(train) [9][ 480/1879] lr: 3.1852e-02 eta: 2 days, 16:40:02 time: 0.4907 data_time: 0.0315 memory: 18108 grad_norm: 3.8957 loss: 5.4729 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.0090 top1_acc_1: 0.4118 top5_acc_1: 0.6353 loss_cls_1: 2.4639 2023/01/31 11:13:22 - mmengine - INFO - Epoch(train) [9][ 500/1879] lr: 3.1880e-02 eta: 2 days, 16:39:46 time: 0.4902 data_time: 0.0331 memory: 18108 grad_norm: 3.9583 loss: 5.7073 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.2116 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.4957 2023/01/31 11:13:32 - mmengine - INFO - Epoch(train) [9][ 520/1879] lr: 3.1908e-02 eta: 2 days, 16:39:21 time: 0.4754 data_time: 0.0321 memory: 18108 grad_norm: 3.9834 loss: 5.8878 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 3.5022 top1_acc_1: 0.5412 top5_acc_1: 0.6588 loss_cls_1: 2.3856 2023/01/31 11:13:42 - mmengine - INFO - Epoch(train) [9][ 540/1879] lr: 3.1936e-02 eta: 2 days, 16:39:10 time: 0.4981 data_time: 0.0331 memory: 18108 grad_norm: 3.9133 loss: 5.6251 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.0665 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.5585 2023/01/31 11:13:51 - mmengine - INFO - Epoch(train) [9][ 560/1879] lr: 3.1964e-02 eta: 2 days, 16:38:55 time: 0.4917 data_time: 0.0378 memory: 18108 grad_norm: 3.8968 loss: 6.0132 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.4064 top1_acc_1: 0.4118 top5_acc_1: 0.6471 loss_cls_1: 2.6068 2023/01/31 11:14:01 - mmengine - INFO - Epoch(train) [9][ 580/1879] lr: 3.1992e-02 eta: 2 days, 16:38:41 time: 0.4936 data_time: 0.0353 memory: 18108 grad_norm: 3.8770 loss: 5.4849 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.0350 top1_acc_1: 0.4824 top5_acc_1: 0.6706 loss_cls_1: 2.4499 2023/01/31 11:14:11 - mmengine - INFO - Epoch(train) [9][ 600/1879] lr: 3.2021e-02 eta: 2 days, 16:38:21 time: 0.4826 data_time: 0.0335 memory: 18108 grad_norm: 3.9416 loss: 5.5067 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.0064 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.5003 2023/01/31 11:14:21 - mmengine - INFO - Epoch(train) [9][ 620/1879] lr: 3.2049e-02 eta: 2 days, 16:38:21 time: 0.5164 data_time: 0.0385 memory: 18108 grad_norm: 3.8805 loss: 5.7055 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.3106 top1_acc_1: 0.3765 top5_acc_1: 0.6941 loss_cls_1: 2.3949 2023/01/31 11:14:31 - mmengine - INFO - Epoch(train) [9][ 640/1879] lr: 3.2077e-02 eta: 2 days, 16:38:00 time: 0.4820 data_time: 0.0314 memory: 18108 grad_norm: 3.8633 loss: 5.5003 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.0146 top1_acc_1: 0.4000 top5_acc_1: 0.6706 loss_cls_1: 2.4857 2023/01/31 11:14:41 - mmengine - INFO - Epoch(train) [9][ 660/1879] lr: 3.2105e-02 eta: 2 days, 16:37:44 time: 0.4891 data_time: 0.0333 memory: 18108 grad_norm: 3.9859 loss: 5.4731 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.1543 top1_acc_1: 0.3882 top5_acc_1: 0.6471 loss_cls_1: 2.3188 2023/01/31 11:14:51 - mmengine - INFO - Epoch(train) [9][ 680/1879] lr: 3.2133e-02 eta: 2 days, 16:37:32 time: 0.4975 data_time: 0.0395 memory: 18108 grad_norm: 3.8983 loss: 5.4870 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 3.0543 top1_acc_1: 0.4471 top5_acc_1: 0.6706 loss_cls_1: 2.4327 2023/01/31 11:15:00 - mmengine - INFO - Epoch(train) [9][ 700/1879] lr: 3.2162e-02 eta: 2 days, 16:37:18 time: 0.4936 data_time: 0.0326 memory: 18108 grad_norm: 4.0194 loss: 5.6513 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.2341 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.4172 2023/01/31 11:15:10 - mmengine - INFO - Epoch(train) [9][ 720/1879] lr: 3.2190e-02 eta: 2 days, 16:37:04 time: 0.4925 data_time: 0.0325 memory: 18108 grad_norm: 3.9519 loss: 5.8770 top1_acc_0: 0.1875 top5_acc_0: 0.1875 loss_cls_0: 3.4588 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 2.4182 2023/01/31 11:15:20 - mmengine - INFO - Epoch(train) [9][ 740/1879] lr: 3.2218e-02 eta: 2 days, 16:36:47 time: 0.4874 data_time: 0.0367 memory: 18108 grad_norm: 3.9220 loss: 5.6804 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.1580 top1_acc_1: 0.4706 top5_acc_1: 0.6706 loss_cls_1: 2.5224 2023/01/31 11:15:30 - mmengine - INFO - Epoch(train) [9][ 760/1879] lr: 3.2246e-02 eta: 2 days, 16:36:34 time: 0.4963 data_time: 0.0388 memory: 18108 grad_norm: 3.9085 loss: 5.7204 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.2860 top1_acc_1: 0.4118 top5_acc_1: 0.6824 loss_cls_1: 2.4344 2023/01/31 11:15:40 - mmengine - INFO - Epoch(train) [9][ 780/1879] lr: 3.2274e-02 eta: 2 days, 16:36:20 time: 0.4927 data_time: 0.0332 memory: 18108 grad_norm: 3.9384 loss: 5.7619 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.3666 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 2.3953 2023/01/31 11:15:50 - mmengine - INFO - Epoch(train) [9][ 800/1879] lr: 3.2302e-02 eta: 2 days, 16:36:11 time: 0.5014 data_time: 0.0322 memory: 18108 grad_norm: 3.8707 loss: 5.5242 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.0795 top1_acc_1: 0.4471 top5_acc_1: 0.7176 loss_cls_1: 2.4447 2023/01/31 11:16:00 - mmengine - INFO - Epoch(train) [9][ 820/1879] lr: 3.2331e-02 eta: 2 days, 16:35:52 time: 0.4853 data_time: 0.0412 memory: 18108 grad_norm: 3.9406 loss: 5.7297 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.2301 top1_acc_1: 0.4118 top5_acc_1: 0.6471 loss_cls_1: 2.4996 2023/01/31 11:16:10 - mmengine - INFO - Epoch(train) [9][ 840/1879] lr: 3.2359e-02 eta: 2 days, 16:35:39 time: 0.4946 data_time: 0.0328 memory: 18108 grad_norm: 3.9117 loss: 5.6384 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.1273 top1_acc_1: 0.4824 top5_acc_1: 0.6941 loss_cls_1: 2.5111 2023/01/31 11:16:20 - mmengine - INFO - Epoch(train) [9][ 860/1879] lr: 3.2387e-02 eta: 2 days, 16:35:31 time: 0.5025 data_time: 0.0343 memory: 18108 grad_norm: 3.8924 loss: 5.4866 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.9864 top1_acc_1: 0.4000 top5_acc_1: 0.6000 loss_cls_1: 2.5002 2023/01/31 11:16:29 - mmengine - INFO - Epoch(train) [9][ 880/1879] lr: 3.2415e-02 eta: 2 days, 16:35:06 time: 0.4751 data_time: 0.0314 memory: 18108 grad_norm: 3.9518 loss: 5.5201 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.0652 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.4550 2023/01/31 11:16:39 - mmengine - INFO - Epoch(train) [9][ 900/1879] lr: 3.2443e-02 eta: 2 days, 16:34:58 time: 0.5023 data_time: 0.0396 memory: 18108 grad_norm: 3.9308 loss: 5.6913 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 3.0959 top1_acc_1: 0.4353 top5_acc_1: 0.7176 loss_cls_1: 2.5955 2023/01/31 11:16:49 - mmengine - INFO - Epoch(train) [9][ 920/1879] lr: 3.2471e-02 eta: 2 days, 16:34:55 time: 0.5120 data_time: 0.0341 memory: 18108 grad_norm: 3.8923 loss: 5.8573 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 3.2677 top1_acc_1: 0.3529 top5_acc_1: 0.6471 loss_cls_1: 2.5896 2023/01/31 11:17:00 - mmengine - INFO - Epoch(train) [9][ 940/1879] lr: 3.2500e-02 eta: 2 days, 16:34:49 time: 0.5078 data_time: 0.0353 memory: 18108 grad_norm: 3.9794 loss: 5.8337 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 3.3318 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 2.5019 2023/01/31 11:17:10 - mmengine - INFO - Epoch(train) [9][ 960/1879] lr: 3.2528e-02 eta: 2 days, 16:34:44 time: 0.5082 data_time: 0.0340 memory: 18108 grad_norm: 3.8997 loss: 5.7764 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.2962 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 2.4803 2023/01/31 11:17:14 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 11:17:20 - mmengine - INFO - Epoch(train) [9][ 980/1879] lr: 3.2556e-02 eta: 2 days, 16:34:43 time: 0.5153 data_time: 0.0376 memory: 18108 grad_norm: 3.8296 loss: 5.5794 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.1183 top1_acc_1: 0.4118 top5_acc_1: 0.7176 loss_cls_1: 2.4611 2023/01/31 11:17:30 - mmengine - INFO - Epoch(train) [9][1000/1879] lr: 3.2584e-02 eta: 2 days, 16:34:36 time: 0.5056 data_time: 0.0286 memory: 18108 grad_norm: 3.8619 loss: 5.5654 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.1800 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.3854 2023/01/31 11:17:40 - mmengine - INFO - Epoch(train) [9][1020/1879] lr: 3.2612e-02 eta: 2 days, 16:34:33 time: 0.5117 data_time: 0.0457 memory: 18108 grad_norm: 3.9586 loss: 5.5016 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 3.1382 top1_acc_1: 0.4588 top5_acc_1: 0.6941 loss_cls_1: 2.3634 2023/01/31 11:17:50 - mmengine - INFO - Epoch(train) [9][1040/1879] lr: 3.2641e-02 eta: 2 days, 16:34:22 time: 0.4986 data_time: 0.0269 memory: 18108 grad_norm: 3.8876 loss: 5.8631 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 3.2905 top1_acc_1: 0.3176 top5_acc_1: 0.6235 loss_cls_1: 2.5726 2023/01/31 11:18:00 - mmengine - INFO - Epoch(train) [9][1060/1879] lr: 3.2669e-02 eta: 2 days, 16:34:18 time: 0.5094 data_time: 0.0365 memory: 18108 grad_norm: 3.8656 loss: 5.7890 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.3734 top1_acc_1: 0.4941 top5_acc_1: 0.6941 loss_cls_1: 2.4156 2023/01/31 11:18:11 - mmengine - INFO - Epoch(train) [9][1080/1879] lr: 3.2697e-02 eta: 2 days, 16:34:10 time: 0.5035 data_time: 0.0362 memory: 18108 grad_norm: 3.9125 loss: 5.6447 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.2872 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.3575 2023/01/31 11:18:21 - mmengine - INFO - Epoch(train) [9][1100/1879] lr: 3.2725e-02 eta: 2 days, 16:34:04 time: 0.5069 data_time: 0.0334 memory: 18108 grad_norm: 3.8775 loss: 5.5950 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 3.1998 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.3953 2023/01/31 11:18:31 - mmengine - INFO - Epoch(train) [9][1120/1879] lr: 3.2753e-02 eta: 2 days, 16:33:57 time: 0.5050 data_time: 0.0334 memory: 18108 grad_norm: 3.8641 loss: 5.5804 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.0758 top1_acc_1: 0.3882 top5_acc_1: 0.6471 loss_cls_1: 2.5046 2023/01/31 11:18:41 - mmengine - INFO - Epoch(train) [9][1140/1879] lr: 3.2781e-02 eta: 2 days, 16:33:40 time: 0.4885 data_time: 0.0345 memory: 18108 grad_norm: 3.9223 loss: 5.5691 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.1392 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.4299 2023/01/31 11:18:51 - mmengine - INFO - Epoch(train) [9][1160/1879] lr: 3.2810e-02 eta: 2 days, 16:33:36 time: 0.5097 data_time: 0.0390 memory: 18108 grad_norm: 3.9161 loss: 5.5406 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.1006 top1_acc_1: 0.4471 top5_acc_1: 0.6941 loss_cls_1: 2.4400 2023/01/31 11:19:01 - mmengine - INFO - Epoch(train) [9][1180/1879] lr: 3.2838e-02 eta: 2 days, 16:33:32 time: 0.5118 data_time: 0.0384 memory: 18108 grad_norm: 3.8839 loss: 5.5011 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.1298 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.3713 2023/01/31 11:19:11 - mmengine - INFO - Epoch(train) [9][1200/1879] lr: 3.2866e-02 eta: 2 days, 16:33:24 time: 0.5034 data_time: 0.0310 memory: 18108 grad_norm: 3.8801 loss: 5.6814 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 3.2782 top1_acc_1: 0.4235 top5_acc_1: 0.7176 loss_cls_1: 2.4033 2023/01/31 11:19:21 - mmengine - INFO - Epoch(train) [9][1220/1879] lr: 3.2894e-02 eta: 2 days, 16:33:23 time: 0.5159 data_time: 0.0427 memory: 18108 grad_norm: 3.8657 loss: 5.7446 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.3254 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.4192 2023/01/31 11:19:32 - mmengine - INFO - Epoch(train) [9][1240/1879] lr: 3.2922e-02 eta: 2 days, 16:33:21 time: 0.5128 data_time: 0.0302 memory: 18108 grad_norm: 3.8839 loss: 5.5757 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.2286 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 2.3471 2023/01/31 11:19:42 - mmengine - INFO - Epoch(train) [9][1260/1879] lr: 3.2950e-02 eta: 2 days, 16:33:26 time: 0.5259 data_time: 0.0348 memory: 18108 grad_norm: 3.8267 loss: 5.6362 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.2322 top1_acc_1: 0.3882 top5_acc_1: 0.7176 loss_cls_1: 2.4040 2023/01/31 11:19:52 - mmengine - INFO - Epoch(train) [9][1280/1879] lr: 3.2979e-02 eta: 2 days, 16:33:15 time: 0.4997 data_time: 0.0300 memory: 18108 grad_norm: 3.8326 loss: 5.4101 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.0107 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.3994 2023/01/31 11:20:03 - mmengine - INFO - Epoch(train) [9][1300/1879] lr: 3.3007e-02 eta: 2 days, 16:33:17 time: 0.5207 data_time: 0.0432 memory: 18108 grad_norm: 3.9515 loss: 5.6878 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 3.3269 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 2.3609 2023/01/31 11:20:13 - mmengine - INFO - Epoch(train) [9][1320/1879] lr: 3.3035e-02 eta: 2 days, 16:33:13 time: 0.5109 data_time: 0.0308 memory: 18108 grad_norm: 3.9030 loss: 5.6666 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.2422 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 2.4244 2023/01/31 11:20:23 - mmengine - INFO - Epoch(train) [9][1340/1879] lr: 3.3063e-02 eta: 2 days, 16:33:12 time: 0.5151 data_time: 0.0358 memory: 18108 grad_norm: 3.9390 loss: 5.6204 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.1457 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.4747 2023/01/31 11:20:33 - mmengine - INFO - Epoch(train) [9][1360/1879] lr: 3.3091e-02 eta: 2 days, 16:33:03 time: 0.5027 data_time: 0.0383 memory: 18108 grad_norm: 3.9122 loss: 5.5523 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.1678 top1_acc_1: 0.4471 top5_acc_1: 0.6941 loss_cls_1: 2.3846 2023/01/31 11:20:44 - mmengine - INFO - Epoch(train) [9][1380/1879] lr: 3.3120e-02 eta: 2 days, 16:33:15 time: 0.5385 data_time: 0.0330 memory: 18108 grad_norm: 3.9290 loss: 5.4830 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.0873 top1_acc_1: 0.4235 top5_acc_1: 0.6588 loss_cls_1: 2.3958 2023/01/31 11:20:54 - mmengine - INFO - Epoch(train) [9][1400/1879] lr: 3.3148e-02 eta: 2 days, 16:33:09 time: 0.5072 data_time: 0.0302 memory: 18108 grad_norm: 3.8868 loss: 5.6468 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.2742 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.3726 2023/01/31 11:21:04 - mmengine - INFO - Epoch(train) [9][1420/1879] lr: 3.3176e-02 eta: 2 days, 16:33:08 time: 0.5171 data_time: 0.0411 memory: 18108 grad_norm: 3.8281 loss: 5.8135 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.3820 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 2.4315 2023/01/31 11:21:15 - mmengine - INFO - Epoch(train) [9][1440/1879] lr: 3.3204e-02 eta: 2 days, 16:33:15 time: 0.5291 data_time: 0.0323 memory: 18108 grad_norm: 3.9238 loss: 5.6688 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.2107 top1_acc_1: 0.4118 top5_acc_1: 0.6353 loss_cls_1: 2.4581 2023/01/31 11:21:25 - mmengine - INFO - Epoch(train) [9][1460/1879] lr: 3.3232e-02 eta: 2 days, 16:33:10 time: 0.5099 data_time: 0.0339 memory: 18108 grad_norm: 3.9146 loss: 5.5504 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 3.1001 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.4503 2023/01/31 11:21:35 - mmengine - INFO - Epoch(train) [9][1480/1879] lr: 3.3260e-02 eta: 2 days, 16:33:04 time: 0.5081 data_time: 0.0318 memory: 18108 grad_norm: 3.8912 loss: 5.5716 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.1091 top1_acc_1: 0.5059 top5_acc_1: 0.7059 loss_cls_1: 2.4624 2023/01/31 11:21:46 - mmengine - INFO - Epoch(train) [9][1500/1879] lr: 3.3289e-02 eta: 2 days, 16:33:11 time: 0.5304 data_time: 0.0358 memory: 18108 grad_norm: 3.8933 loss: 5.6040 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.1309 top1_acc_1: 0.4353 top5_acc_1: 0.6706 loss_cls_1: 2.4731 2023/01/31 11:21:56 - mmengine - INFO - Epoch(train) [9][1520/1879] lr: 3.3317e-02 eta: 2 days, 16:33:09 time: 0.5145 data_time: 0.0309 memory: 18108 grad_norm: 3.9026 loss: 5.4430 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.0898 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.3532 2023/01/31 11:22:06 - mmengine - INFO - Epoch(train) [9][1540/1879] lr: 3.3345e-02 eta: 2 days, 16:33:00 time: 0.5009 data_time: 0.0350 memory: 18108 grad_norm: 3.8505 loss: 5.9636 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 3.4528 top1_acc_1: 0.4471 top5_acc_1: 0.7294 loss_cls_1: 2.5108 2023/01/31 11:22:17 - mmengine - INFO - Epoch(train) [9][1560/1879] lr: 3.3373e-02 eta: 2 days, 16:33:03 time: 0.5237 data_time: 0.0308 memory: 18108 grad_norm: 3.8827 loss: 5.5050 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 3.1280 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.3770 2023/01/31 11:22:27 - mmengine - INFO - Epoch(train) [9][1580/1879] lr: 3.3401e-02 eta: 2 days, 16:33:04 time: 0.5214 data_time: 0.0358 memory: 18108 grad_norm: 3.9421 loss: 5.5591 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 3.1480 top1_acc_1: 0.4000 top5_acc_1: 0.6471 loss_cls_1: 2.4111 2023/01/31 11:22:37 - mmengine - INFO - Epoch(train) [9][1600/1879] lr: 3.3429e-02 eta: 2 days, 16:33:00 time: 0.5111 data_time: 0.0309 memory: 18108 grad_norm: 3.8402 loss: 5.6910 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.2508 top1_acc_1: 0.4588 top5_acc_1: 0.6706 loss_cls_1: 2.4402 2023/01/31 11:22:48 - mmengine - INFO - Epoch(train) [9][1620/1879] lr: 3.3458e-02 eta: 2 days, 16:33:09 time: 0.5342 data_time: 0.0423 memory: 18108 grad_norm: 3.8881 loss: 5.7202 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.2845 top1_acc_1: 0.4235 top5_acc_1: 0.6706 loss_cls_1: 2.4357 2023/01/31 11:22:58 - mmengine - INFO - Epoch(train) [9][1640/1879] lr: 3.3486e-02 eta: 2 days, 16:33:06 time: 0.5124 data_time: 0.0322 memory: 18108 grad_norm: 3.8172 loss: 5.4199 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.1085 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 2.3114 2023/01/31 11:23:09 - mmengine - INFO - Epoch(train) [9][1660/1879] lr: 3.3514e-02 eta: 2 days, 16:33:13 time: 0.5306 data_time: 0.0377 memory: 18108 grad_norm: 3.8696 loss: 5.4578 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.0509 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.4069 2023/01/31 11:23:19 - mmengine - INFO - Epoch(train) [9][1680/1879] lr: 3.3542e-02 eta: 2 days, 16:33:12 time: 0.5176 data_time: 0.0303 memory: 18108 grad_norm: 3.8834 loss: 5.4797 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.9937 top1_acc_1: 0.4353 top5_acc_1: 0.6824 loss_cls_1: 2.4860 2023/01/31 11:23:30 - mmengine - INFO - Epoch(train) [9][1700/1879] lr: 3.3570e-02 eta: 2 days, 16:33:30 time: 0.5503 data_time: 0.0451 memory: 18108 grad_norm: 3.8965 loss: 5.5831 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.2019 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.3813 2023/01/31 11:23:41 - mmengine - INFO - Epoch(train) [9][1720/1879] lr: 3.3598e-02 eta: 2 days, 16:33:29 time: 0.5167 data_time: 0.0331 memory: 18108 grad_norm: 3.8960 loss: 5.5279 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 3.1002 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 2.4276 2023/01/31 11:23:51 - mmengine - INFO - Epoch(train) [9][1740/1879] lr: 3.3627e-02 eta: 2 days, 16:33:28 time: 0.5174 data_time: 0.0352 memory: 18108 grad_norm: 3.8466 loss: 5.8016 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.3145 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.4871 2023/01/31 11:24:02 - mmengine - INFO - Epoch(train) [9][1760/1879] lr: 3.3655e-02 eta: 2 days, 16:33:37 time: 0.5345 data_time: 0.0343 memory: 18108 grad_norm: 3.8368 loss: 5.7031 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 3.2596 top1_acc_1: 0.3765 top5_acc_1: 0.6941 loss_cls_1: 2.4435 2023/01/31 11:24:12 - mmengine - INFO - Epoch(train) [9][1780/1879] lr: 3.3683e-02 eta: 2 days, 16:33:32 time: 0.5106 data_time: 0.0319 memory: 18108 grad_norm: 3.8511 loss: 5.6121 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.1345 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 2.4776 2023/01/31 11:24:22 - mmengine - INFO - Epoch(train) [9][1800/1879] lr: 3.3711e-02 eta: 2 days, 16:33:23 time: 0.5020 data_time: 0.0325 memory: 18108 grad_norm: 3.8649 loss: 5.5032 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.1204 top1_acc_1: 0.4000 top5_acc_1: 0.6706 loss_cls_1: 2.3828 2023/01/31 11:24:32 - mmengine - INFO - Epoch(train) [9][1820/1879] lr: 3.3739e-02 eta: 2 days, 16:33:25 time: 0.5221 data_time: 0.0313 memory: 18108 grad_norm: 3.8446 loss: 5.5623 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.1252 top1_acc_1: 0.4235 top5_acc_1: 0.6588 loss_cls_1: 2.4371 2023/01/31 11:24:43 - mmengine - INFO - Epoch(train) [9][1840/1879] lr: 3.3768e-02 eta: 2 days, 16:33:27 time: 0.5232 data_time: 0.0348 memory: 18108 grad_norm: 3.8508 loss: 5.4719 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.0572 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.4147 2023/01/31 11:24:53 - mmengine - INFO - Epoch(train) [9][1860/1879] lr: 3.3796e-02 eta: 2 days, 16:33:18 time: 0.5030 data_time: 0.0349 memory: 18108 grad_norm: 3.8384 loss: 5.4212 top1_acc_0: 0.0625 top5_acc_0: 0.2500 loss_cls_0: 3.0493 top1_acc_1: 0.5059 top5_acc_1: 0.6588 loss_cls_1: 2.3719 2023/01/31 11:25:02 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 11:25:02 - mmengine - INFO - Epoch(train) [9][1879/1879] lr: 3.3822e-02 eta: 2 days, 16:32:58 time: 0.4866 data_time: 0.0294 memory: 18108 grad_norm: 3.9121 loss: 5.7656 top1_acc_0: 0.1429 top5_acc_0: 0.7143 loss_cls_0: 3.3936 top1_acc_1: 0.4353 top5_acc_1: 0.7412 loss_cls_1: 2.3720 2023/01/31 11:25:17 - mmengine - INFO - Epoch(train) [10][ 20/1879] lr: 3.3851e-02 eta: 2 days, 16:34:42 time: 0.7097 data_time: 0.2697 memory: 18108 grad_norm: 3.8334 loss: 5.6258 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.3126 top1_acc_1: 0.4824 top5_acc_1: 0.6824 loss_cls_1: 2.3132 2023/01/31 11:25:26 - mmengine - INFO - Epoch(train) [10][ 40/1879] lr: 3.3879e-02 eta: 2 days, 16:34:13 time: 0.4664 data_time: 0.0329 memory: 18108 grad_norm: 3.7721 loss: 5.4146 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 3.0561 top1_acc_1: 0.4824 top5_acc_1: 0.6941 loss_cls_1: 2.3585 2023/01/31 11:25:36 - mmengine - INFO - Epoch(train) [10][ 60/1879] lr: 3.3907e-02 eta: 2 days, 16:33:50 time: 0.4774 data_time: 0.0351 memory: 18108 grad_norm: 3.8339 loss: 5.3764 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 3.1012 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.2753 2023/01/31 11:25:46 - mmengine - INFO - Epoch(train) [10][ 80/1879] lr: 3.3935e-02 eta: 2 days, 16:33:51 time: 0.5203 data_time: 0.0325 memory: 18108 grad_norm: 3.7614 loss: 5.5513 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 3.1797 top1_acc_1: 0.5647 top5_acc_1: 0.7059 loss_cls_1: 2.3716 2023/01/31 11:25:51 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 11:25:56 - mmengine - INFO - Epoch(train) [10][ 100/1879] lr: 3.3963e-02 eta: 2 days, 16:33:27 time: 0.4743 data_time: 0.0347 memory: 18108 grad_norm: 3.8538 loss: 5.5150 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.2092 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 2.3057 2023/01/31 11:26:05 - mmengine - INFO - Epoch(train) [10][ 120/1879] lr: 3.3992e-02 eta: 2 days, 16:33:06 time: 0.4807 data_time: 0.0336 memory: 18108 grad_norm: 3.8216 loss: 5.5904 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.2830 top1_acc_1: 0.4588 top5_acc_1: 0.7294 loss_cls_1: 2.3074 2023/01/31 11:26:16 - mmengine - INFO - Epoch(train) [10][ 140/1879] lr: 3.4020e-02 eta: 2 days, 16:32:59 time: 0.5065 data_time: 0.0342 memory: 18108 grad_norm: 3.7930 loss: 5.2710 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9309 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 2.3401 2023/01/31 11:26:25 - mmengine - INFO - Epoch(train) [10][ 160/1879] lr: 3.4048e-02 eta: 2 days, 16:32:43 time: 0.4909 data_time: 0.0320 memory: 18108 grad_norm: 3.8084 loss: 5.5293 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 3.0809 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.4484 2023/01/31 11:26:35 - mmengine - INFO - Epoch(train) [10][ 180/1879] lr: 3.4076e-02 eta: 2 days, 16:32:21 time: 0.4778 data_time: 0.0360 memory: 18108 grad_norm: 3.7628 loss: 5.3011 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9099 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.3912 2023/01/31 11:26:44 - mmengine - INFO - Epoch(train) [10][ 200/1879] lr: 3.4104e-02 eta: 2 days, 16:31:57 time: 0.4750 data_time: 0.0317 memory: 18108 grad_norm: 3.8308 loss: 5.4090 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.0375 top1_acc_1: 0.4353 top5_acc_1: 0.7176 loss_cls_1: 2.3715 2023/01/31 11:26:55 - mmengine - INFO - Epoch(train) [10][ 220/1879] lr: 3.4132e-02 eta: 2 days, 16:32:01 time: 0.5264 data_time: 0.0410 memory: 18108 grad_norm: 3.8113 loss: 5.4760 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.1353 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.3407 2023/01/31 11:27:05 - mmengine - INFO - Epoch(train) [10][ 240/1879] lr: 3.4161e-02 eta: 2 days, 16:31:39 time: 0.4795 data_time: 0.0326 memory: 18108 grad_norm: 3.8682 loss: 5.5277 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.0886 top1_acc_1: 0.4471 top5_acc_1: 0.6471 loss_cls_1: 2.4391 2023/01/31 11:27:14 - mmengine - INFO - Epoch(train) [10][ 260/1879] lr: 3.4189e-02 eta: 2 days, 16:31:25 time: 0.4938 data_time: 0.0340 memory: 18108 grad_norm: 3.8952 loss: 5.5444 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 3.0903 top1_acc_1: 0.4706 top5_acc_1: 0.6941 loss_cls_1: 2.4541 2023/01/31 11:27:25 - mmengine - INFO - Epoch(train) [10][ 280/1879] lr: 3.4217e-02 eta: 2 days, 16:31:26 time: 0.5213 data_time: 0.0383 memory: 18108 grad_norm: 3.8007 loss: 5.7417 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 3.2525 top1_acc_1: 0.4588 top5_acc_1: 0.6824 loss_cls_1: 2.4892 2023/01/31 11:27:35 - mmengine - INFO - Epoch(train) [10][ 300/1879] lr: 3.4245e-02 eta: 2 days, 16:31:21 time: 0.5099 data_time: 0.0338 memory: 18108 grad_norm: 3.8038 loss: 5.5436 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.2230 top1_acc_1: 0.4118 top5_acc_1: 0.7412 loss_cls_1: 2.3206 2023/01/31 11:27:45 - mmengine - INFO - Epoch(train) [10][ 320/1879] lr: 3.4273e-02 eta: 2 days, 16:31:11 time: 0.5010 data_time: 0.0316 memory: 18108 grad_norm: 3.8849 loss: 5.4478 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 3.1030 top1_acc_1: 0.4353 top5_acc_1: 0.6706 loss_cls_1: 2.3447 2023/01/31 11:27:55 - mmengine - INFO - Epoch(train) [10][ 340/1879] lr: 3.4301e-02 eta: 2 days, 16:31:07 time: 0.5115 data_time: 0.0334 memory: 18108 grad_norm: 3.8684 loss: 5.5636 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 3.1826 top1_acc_1: 0.4471 top5_acc_1: 0.6588 loss_cls_1: 2.3811 2023/01/31 11:28:05 - mmengine - INFO - Epoch(train) [10][ 360/1879] lr: 3.4330e-02 eta: 2 days, 16:30:58 time: 0.5036 data_time: 0.0374 memory: 18108 grad_norm: 3.8637 loss: 5.5434 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.1381 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 2.4054 2023/01/31 11:28:15 - mmengine - INFO - Epoch(train) [10][ 380/1879] lr: 3.4358e-02 eta: 2 days, 16:30:47 time: 0.4973 data_time: 0.0351 memory: 18108 grad_norm: 3.8138 loss: 5.6457 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.1862 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 2.4595 2023/01/31 11:28:26 - mmengine - INFO - Epoch(train) [10][ 400/1879] lr: 3.4386e-02 eta: 2 days, 16:30:45 time: 0.5169 data_time: 0.0320 memory: 18108 grad_norm: 3.8447 loss: 5.5801 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 3.1569 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.4232 2023/01/31 11:28:36 - mmengine - INFO - Epoch(train) [10][ 420/1879] lr: 3.4414e-02 eta: 2 days, 16:30:38 time: 0.5059 data_time: 0.0403 memory: 18108 grad_norm: 3.8730 loss: 5.4892 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.1852 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 2.3040 2023/01/31 11:28:46 - mmengine - INFO - Epoch(train) [10][ 440/1879] lr: 3.4442e-02 eta: 2 days, 16:30:32 time: 0.5080 data_time: 0.0307 memory: 18108 grad_norm: 3.8671 loss: 5.3781 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.0162 top1_acc_1: 0.4471 top5_acc_1: 0.6941 loss_cls_1: 2.3618 2023/01/31 11:28:56 - mmengine - INFO - Epoch(train) [10][ 460/1879] lr: 3.4471e-02 eta: 2 days, 16:30:21 time: 0.4996 data_time: 0.0329 memory: 18108 grad_norm: 3.8185 loss: 5.2707 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.9694 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.3013 2023/01/31 11:29:06 - mmengine - INFO - Epoch(train) [10][ 480/1879] lr: 3.4499e-02 eta: 2 days, 16:30:16 time: 0.5107 data_time: 0.0317 memory: 18108 grad_norm: 3.8447 loss: 5.3865 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9934 top1_acc_1: 0.4824 top5_acc_1: 0.6471 loss_cls_1: 2.3930 2023/01/31 11:29:16 - mmengine - INFO - Epoch(train) [10][ 500/1879] lr: 3.4527e-02 eta: 2 days, 16:30:09 time: 0.5068 data_time: 0.0404 memory: 18108 grad_norm: 3.8833 loss: 5.5336 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.0758 top1_acc_1: 0.4353 top5_acc_1: 0.7412 loss_cls_1: 2.4579 2023/01/31 11:29:26 - mmengine - INFO - Epoch(train) [10][ 520/1879] lr: 3.4555e-02 eta: 2 days, 16:30:03 time: 0.5074 data_time: 0.0319 memory: 18108 grad_norm: 3.8670 loss: 5.6219 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.2768 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.3451 2023/01/31 11:29:37 - mmengine - INFO - Epoch(train) [10][ 540/1879] lr: 3.4583e-02 eta: 2 days, 16:29:57 time: 0.5090 data_time: 0.0337 memory: 18108 grad_norm: 3.8052 loss: 5.4822 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 3.1130 top1_acc_1: 0.4588 top5_acc_1: 0.7647 loss_cls_1: 2.3692 2023/01/31 11:29:47 - mmengine - INFO - Epoch(train) [10][ 560/1879] lr: 3.4611e-02 eta: 2 days, 16:29:48 time: 0.5027 data_time: 0.0377 memory: 18108 grad_norm: 3.7923 loss: 5.4766 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.1389 top1_acc_1: 0.4000 top5_acc_1: 0.6353 loss_cls_1: 2.3377 2023/01/31 11:29:57 - mmengine - INFO - Epoch(train) [10][ 580/1879] lr: 3.4640e-02 eta: 2 days, 16:29:38 time: 0.5012 data_time: 0.0337 memory: 18108 grad_norm: 3.7979 loss: 5.6126 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 3.2801 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 2.3325 2023/01/31 11:30:07 - mmengine - INFO - Epoch(train) [10][ 600/1879] lr: 3.4668e-02 eta: 2 days, 16:29:29 time: 0.5032 data_time: 0.0318 memory: 18108 grad_norm: 3.8112 loss: 5.4940 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.1710 top1_acc_1: 0.4118 top5_acc_1: 0.6588 loss_cls_1: 2.3229 2023/01/31 11:30:17 - mmengine - INFO - Epoch(train) [10][ 620/1879] lr: 3.4696e-02 eta: 2 days, 16:29:22 time: 0.5065 data_time: 0.0341 memory: 18108 grad_norm: 3.8364 loss: 5.4534 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.1559 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.2975 2023/01/31 11:30:27 - mmengine - INFO - Epoch(train) [10][ 640/1879] lr: 3.4724e-02 eta: 2 days, 16:29:20 time: 0.5146 data_time: 0.0400 memory: 18108 grad_norm: 3.8230 loss: 5.3212 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.9599 top1_acc_1: 0.4235 top5_acc_1: 0.7765 loss_cls_1: 2.3613 2023/01/31 11:30:37 - mmengine - INFO - Epoch(train) [10][ 660/1879] lr: 3.4752e-02 eta: 2 days, 16:29:13 time: 0.5081 data_time: 0.0337 memory: 18108 grad_norm: 3.8268 loss: 5.6158 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.2781 top1_acc_1: 0.3176 top5_acc_1: 0.6353 loss_cls_1: 2.3377 2023/01/31 11:30:47 - mmengine - INFO - Epoch(train) [10][ 680/1879] lr: 3.4780e-02 eta: 2 days, 16:29:07 time: 0.5072 data_time: 0.0310 memory: 18108 grad_norm: 3.7655 loss: 5.2800 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9116 top1_acc_1: 0.4588 top5_acc_1: 0.7647 loss_cls_1: 2.3684 2023/01/31 11:30:58 - mmengine - INFO - Epoch(train) [10][ 700/1879] lr: 3.4809e-02 eta: 2 days, 16:28:56 time: 0.5005 data_time: 0.0357 memory: 18108 grad_norm: 3.7789 loss: 5.4302 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.0498 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 2.3804 2023/01/31 11:31:08 - mmengine - INFO - Epoch(train) [10][ 720/1879] lr: 3.4837e-02 eta: 2 days, 16:28:51 time: 0.5093 data_time: 0.0395 memory: 18108 grad_norm: 3.8122 loss: 5.7002 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 3.1914 top1_acc_1: 0.3882 top5_acc_1: 0.6000 loss_cls_1: 2.5088 2023/01/31 11:31:18 - mmengine - INFO - Epoch(train) [10][ 740/1879] lr: 3.4865e-02 eta: 2 days, 16:28:51 time: 0.5201 data_time: 0.0364 memory: 18108 grad_norm: 3.8908 loss: 5.6889 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 3.3301 top1_acc_1: 0.4471 top5_acc_1: 0.6353 loss_cls_1: 2.3587 2023/01/31 11:31:28 - mmengine - INFO - Epoch(train) [10][ 760/1879] lr: 3.4893e-02 eta: 2 days, 16:28:41 time: 0.5019 data_time: 0.0323 memory: 18108 grad_norm: 3.8077 loss: 5.5129 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.1418 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.3711 2023/01/31 11:31:38 - mmengine - INFO - Epoch(train) [10][ 780/1879] lr: 3.4921e-02 eta: 2 days, 16:28:32 time: 0.5025 data_time: 0.0336 memory: 18108 grad_norm: 3.7766 loss: 5.3971 top1_acc_0: 0.0625 top5_acc_0: 0.6250 loss_cls_0: 3.0171 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.3800 2023/01/31 11:31:49 - mmengine - INFO - Epoch(train) [10][ 800/1879] lr: 3.4950e-02 eta: 2 days, 16:28:38 time: 0.5321 data_time: 0.0409 memory: 18108 grad_norm: 3.7568 loss: 5.4847 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.0045 top1_acc_1: 0.4588 top5_acc_1: 0.6824 loss_cls_1: 2.4803 2023/01/31 11:31:59 - mmengine - INFO - Epoch(train) [10][ 820/1879] lr: 3.4978e-02 eta: 2 days, 16:28:34 time: 0.5112 data_time: 0.0351 memory: 18108 grad_norm: 3.8101 loss: 5.3147 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.9273 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.3874 2023/01/31 11:32:09 - mmengine - INFO - Epoch(train) [10][ 840/1879] lr: 3.5006e-02 eta: 2 days, 16:28:29 time: 0.5117 data_time: 0.0316 memory: 18108 grad_norm: 3.8499 loss: 5.5848 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.1138 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 2.4710 2023/01/31 11:32:20 - mmengine - INFO - Epoch(train) [10][ 860/1879] lr: 3.5034e-02 eta: 2 days, 16:28:28 time: 0.5185 data_time: 0.0407 memory: 18108 grad_norm: 3.8565 loss: 5.4081 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 3.0630 top1_acc_1: 0.4000 top5_acc_1: 0.7176 loss_cls_1: 2.3451 2023/01/31 11:32:30 - mmengine - INFO - Epoch(train) [10][ 880/1879] lr: 3.5062e-02 eta: 2 days, 16:28:25 time: 0.5138 data_time: 0.0310 memory: 18108 grad_norm: 3.7822 loss: 5.4812 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 3.0690 top1_acc_1: 0.4588 top5_acc_1: 0.6824 loss_cls_1: 2.4122 2023/01/31 11:32:40 - mmengine - INFO - Epoch(train) [10][ 900/1879] lr: 3.5090e-02 eta: 2 days, 16:28:20 time: 0.5116 data_time: 0.0357 memory: 18108 grad_norm: 3.8181 loss: 5.3284 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9974 top1_acc_1: 0.4118 top5_acc_1: 0.6706 loss_cls_1: 2.3310 2023/01/31 11:32:51 - mmengine - INFO - Epoch(train) [10][ 920/1879] lr: 3.5119e-02 eta: 2 days, 16:28:19 time: 0.5173 data_time: 0.0314 memory: 18108 grad_norm: 3.7893 loss: 5.5389 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.1629 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.3759 2023/01/31 11:33:01 - mmengine - INFO - Epoch(train) [10][ 940/1879] lr: 3.5147e-02 eta: 2 days, 16:28:14 time: 0.5120 data_time: 0.0334 memory: 18108 grad_norm: 3.8254 loss: 5.7765 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 3.3177 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 2.4589 2023/01/31 11:33:11 - mmengine - INFO - Epoch(train) [10][ 960/1879] lr: 3.5175e-02 eta: 2 days, 16:28:11 time: 0.5137 data_time: 0.0304 memory: 18108 grad_norm: 3.7799 loss: 5.3663 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.0311 top1_acc_1: 0.5059 top5_acc_1: 0.7059 loss_cls_1: 2.3351 2023/01/31 11:33:21 - mmengine - INFO - Epoch(train) [10][ 980/1879] lr: 3.5203e-02 eta: 2 days, 16:28:10 time: 0.5194 data_time: 0.0338 memory: 18108 grad_norm: 3.8009 loss: 5.5019 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 3.1207 top1_acc_1: 0.4706 top5_acc_1: 0.7059 loss_cls_1: 2.3812 2023/01/31 11:33:32 - mmengine - INFO - Epoch(train) [10][1000/1879] lr: 3.5231e-02 eta: 2 days, 16:28:09 time: 0.5173 data_time: 0.0390 memory: 18108 grad_norm: 3.8086 loss: 5.5080 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.1175 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.3905 2023/01/31 11:33:42 - mmengine - INFO - Epoch(train) [10][1020/1879] lr: 3.5259e-02 eta: 2 days, 16:28:10 time: 0.5225 data_time: 0.0341 memory: 18108 grad_norm: 3.7481 loss: 5.2461 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9123 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.3338 2023/01/31 11:33:53 - mmengine - INFO - Epoch(train) [10][1040/1879] lr: 3.5288e-02 eta: 2 days, 16:28:08 time: 0.5163 data_time: 0.0334 memory: 18108 grad_norm: 3.8153 loss: 5.5058 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.1121 top1_acc_1: 0.4706 top5_acc_1: 0.7059 loss_cls_1: 2.3937 2023/01/31 11:34:03 - mmengine - INFO - Epoch(train) [10][1060/1879] lr: 3.5316e-02 eta: 2 days, 16:28:00 time: 0.5060 data_time: 0.0354 memory: 18108 grad_norm: 3.7636 loss: 5.4660 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.1462 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.3198 2023/01/31 11:34:13 - mmengine - INFO - Epoch(train) [10][1080/1879] lr: 3.5344e-02 eta: 2 days, 16:28:11 time: 0.5411 data_time: 0.0384 memory: 18108 grad_norm: 3.8376 loss: 5.5703 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.2802 top1_acc_1: 0.4353 top5_acc_1: 0.7176 loss_cls_1: 2.2901 2023/01/31 11:34:18 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 11:34:24 - mmengine - INFO - Epoch(train) [10][1100/1879] lr: 3.5372e-02 eta: 2 days, 16:28:04 time: 0.5072 data_time: 0.0369 memory: 18108 grad_norm: 3.8164 loss: 5.7106 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 3.3194 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 2.3912 2023/01/31 11:34:34 - mmengine - INFO - Epoch(train) [10][1120/1879] lr: 3.5400e-02 eta: 2 days, 16:28:04 time: 0.5213 data_time: 0.0315 memory: 18108 grad_norm: 3.7739 loss: 5.4041 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9806 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.4235 2023/01/31 11:34:45 - mmengine - INFO - Epoch(train) [10][1140/1879] lr: 3.5429e-02 eta: 2 days, 16:28:12 time: 0.5363 data_time: 0.0426 memory: 18108 grad_norm: 3.7566 loss: 5.3840 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.1148 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.2691 2023/01/31 11:34:55 - mmengine - INFO - Epoch(train) [10][1160/1879] lr: 3.5457e-02 eta: 2 days, 16:28:11 time: 0.5187 data_time: 0.0300 memory: 18108 grad_norm: 3.8242 loss: 5.5333 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.2068 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.3265 2023/01/31 11:35:05 - mmengine - INFO - Epoch(train) [10][1180/1879] lr: 3.5485e-02 eta: 2 days, 16:28:06 time: 0.5109 data_time: 0.0353 memory: 18108 grad_norm: 3.8039 loss: 5.5958 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 3.1774 top1_acc_1: 0.4941 top5_acc_1: 0.6824 loss_cls_1: 2.4185 2023/01/31 11:35:16 - mmengine - INFO - Epoch(train) [10][1200/1879] lr: 3.5513e-02 eta: 2 days, 16:28:05 time: 0.5204 data_time: 0.0355 memory: 18108 grad_norm: 3.8102 loss: 5.6428 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.1551 top1_acc_1: 0.5176 top5_acc_1: 0.8353 loss_cls_1: 2.4877 2023/01/31 11:35:26 - mmengine - INFO - Epoch(train) [10][1220/1879] lr: 3.5541e-02 eta: 2 days, 16:28:08 time: 0.5258 data_time: 0.0361 memory: 18108 grad_norm: 3.7852 loss: 5.3277 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0296 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.2981 2023/01/31 11:35:37 - mmengine - INFO - Epoch(train) [10][1240/1879] lr: 3.5569e-02 eta: 2 days, 16:28:04 time: 0.5147 data_time: 0.0313 memory: 18108 grad_norm: 3.7861 loss: 5.6238 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 3.3096 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 2.3142 2023/01/31 11:35:47 - mmengine - INFO - Epoch(train) [10][1260/1879] lr: 3.5598e-02 eta: 2 days, 16:28:06 time: 0.5233 data_time: 0.0445 memory: 18108 grad_norm: 3.7743 loss: 5.5207 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 3.0918 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.4289 2023/01/31 11:35:57 - mmengine - INFO - Epoch(train) [10][1280/1879] lr: 3.5626e-02 eta: 2 days, 16:28:05 time: 0.5201 data_time: 0.0279 memory: 18108 grad_norm: 3.7493 loss: 5.4810 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.1068 top1_acc_1: 0.5294 top5_acc_1: 0.6941 loss_cls_1: 2.3742 2023/01/31 11:36:08 - mmengine - INFO - Epoch(train) [10][1300/1879] lr: 3.5654e-02 eta: 2 days, 16:28:04 time: 0.5190 data_time: 0.0358 memory: 18108 grad_norm: 3.7540 loss: 5.4196 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.1060 top1_acc_1: 0.4000 top5_acc_1: 0.7412 loss_cls_1: 2.3137 2023/01/31 11:36:18 - mmengine - INFO - Epoch(train) [10][1320/1879] lr: 3.5682e-02 eta: 2 days, 16:28:00 time: 0.5137 data_time: 0.0313 memory: 18108 grad_norm: 3.7781 loss: 5.5317 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.2142 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.3175 2023/01/31 11:36:29 - mmengine - INFO - Epoch(train) [10][1340/1879] lr: 3.5710e-02 eta: 2 days, 16:28:02 time: 0.5246 data_time: 0.0421 memory: 18108 grad_norm: 3.7590 loss: 5.4102 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0304 top1_acc_1: 0.5059 top5_acc_1: 0.7059 loss_cls_1: 2.3798 2023/01/31 11:36:39 - mmengine - INFO - Epoch(train) [10][1360/1879] lr: 3.5738e-02 eta: 2 days, 16:27:56 time: 0.5107 data_time: 0.0299 memory: 18108 grad_norm: 3.7371 loss: 5.3390 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 3.0156 top1_acc_1: 0.4000 top5_acc_1: 0.7412 loss_cls_1: 2.3234 2023/01/31 11:36:49 - mmengine - INFO - Epoch(train) [10][1380/1879] lr: 3.5767e-02 eta: 2 days, 16:27:51 time: 0.5114 data_time: 0.0367 memory: 18108 grad_norm: 3.7598 loss: 5.2759 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 2.9999 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.2759 2023/01/31 11:37:00 - mmengine - INFO - Epoch(train) [10][1400/1879] lr: 3.5795e-02 eta: 2 days, 16:27:53 time: 0.5245 data_time: 0.0308 memory: 18108 grad_norm: 3.7890 loss: 5.3635 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.1030 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 2.2605 2023/01/31 11:37:10 - mmengine - INFO - Epoch(train) [10][1420/1879] lr: 3.5823e-02 eta: 2 days, 16:27:51 time: 0.5177 data_time: 0.0368 memory: 18108 grad_norm: 3.8341 loss: 5.4705 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 3.0990 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 2.3715 2023/01/31 11:37:20 - mmengine - INFO - Epoch(train) [10][1440/1879] lr: 3.5851e-02 eta: 2 days, 16:27:54 time: 0.5263 data_time: 0.0299 memory: 18108 grad_norm: 3.7751 loss: 5.3939 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.0803 top1_acc_1: 0.4353 top5_acc_1: 0.6824 loss_cls_1: 2.3136 2023/01/31 11:37:31 - mmengine - INFO - Epoch(train) [10][1460/1879] lr: 3.5879e-02 eta: 2 days, 16:28:02 time: 0.5383 data_time: 0.0435 memory: 18108 grad_norm: 3.8144 loss: 5.2916 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.9803 top1_acc_1: 0.4588 top5_acc_1: 0.6941 loss_cls_1: 2.3113 2023/01/31 11:37:42 - mmengine - INFO - Epoch(train) [10][1480/1879] lr: 3.5907e-02 eta: 2 days, 16:28:06 time: 0.5290 data_time: 0.0289 memory: 18108 grad_norm: 3.8105 loss: 5.4891 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.1966 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.2925 2023/01/31 11:37:52 - mmengine - INFO - Epoch(train) [10][1500/1879] lr: 3.5936e-02 eta: 2 days, 16:28:03 time: 0.5163 data_time: 0.0344 memory: 18108 grad_norm: 3.7322 loss: 5.4063 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 3.0866 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.3197 2023/01/31 11:38:02 - mmengine - INFO - Epoch(train) [10][1520/1879] lr: 3.5964e-02 eta: 2 days, 16:28:00 time: 0.5149 data_time: 0.0297 memory: 18108 grad_norm: 3.7543 loss: 5.3606 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9284 top1_acc_1: 0.4471 top5_acc_1: 0.7176 loss_cls_1: 2.4322 2023/01/31 11:38:13 - mmengine - INFO - Epoch(train) [10][1540/1879] lr: 3.5992e-02 eta: 2 days, 16:27:55 time: 0.5123 data_time: 0.0438 memory: 18108 grad_norm: 3.7628 loss: 5.6373 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 3.2395 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.3978 2023/01/31 11:38:23 - mmengine - INFO - Epoch(train) [10][1560/1879] lr: 3.6020e-02 eta: 2 days, 16:27:52 time: 0.5154 data_time: 0.0312 memory: 18108 grad_norm: 3.7130 loss: 5.6958 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 3.2605 top1_acc_1: 0.4471 top5_acc_1: 0.6471 loss_cls_1: 2.4353 2023/01/31 11:38:33 - mmengine - INFO - Epoch(train) [10][1580/1879] lr: 3.6048e-02 eta: 2 days, 16:27:45 time: 0.5074 data_time: 0.0358 memory: 18108 grad_norm: 3.7451 loss: 5.3697 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 3.0753 top1_acc_1: 0.3647 top5_acc_1: 0.6706 loss_cls_1: 2.2944 2023/01/31 11:38:43 - mmengine - INFO - Epoch(train) [10][1600/1879] lr: 3.6077e-02 eta: 2 days, 16:27:38 time: 0.5087 data_time: 0.0360 memory: 18108 grad_norm: 3.7216 loss: 5.4886 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.1856 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 2.3030 2023/01/31 11:38:53 - mmengine - INFO - Epoch(train) [10][1620/1879] lr: 3.6105e-02 eta: 2 days, 16:27:30 time: 0.5049 data_time: 0.0319 memory: 18108 grad_norm: 3.7473 loss: 5.5660 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 3.1549 top1_acc_1: 0.4941 top5_acc_1: 0.6824 loss_cls_1: 2.4111 2023/01/31 11:39:04 - mmengine - INFO - Epoch(train) [10][1640/1879] lr: 3.6133e-02 eta: 2 days, 16:27:25 time: 0.5124 data_time: 0.0325 memory: 18108 grad_norm: 3.7324 loss: 5.4986 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.1529 top1_acc_1: 0.3647 top5_acc_1: 0.6824 loss_cls_1: 2.3457 2023/01/31 11:39:14 - mmengine - INFO - Epoch(train) [10][1660/1879] lr: 3.6161e-02 eta: 2 days, 16:27:14 time: 0.4999 data_time: 0.0336 memory: 18108 grad_norm: 3.7517 loss: 5.3669 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.0266 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.3403 2023/01/31 11:39:24 - mmengine - INFO - Epoch(train) [10][1680/1879] lr: 3.6189e-02 eta: 2 days, 16:27:17 time: 0.5278 data_time: 0.0428 memory: 18108 grad_norm: 3.7225 loss: 5.5496 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.2332 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 2.3164 2023/01/31 11:39:35 - mmengine - INFO - Epoch(train) [10][1700/1879] lr: 3.6217e-02 eta: 2 days, 16:27:13 time: 0.5147 data_time: 0.0334 memory: 18108 grad_norm: 3.7314 loss: 5.5063 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 3.1726 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.3337 2023/01/31 11:39:45 - mmengine - INFO - Epoch(train) [10][1720/1879] lr: 3.6246e-02 eta: 2 days, 16:27:02 time: 0.4993 data_time: 0.0310 memory: 18108 grad_norm: 3.7460 loss: 5.4991 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 3.1108 top1_acc_1: 0.3882 top5_acc_1: 0.6471 loss_cls_1: 2.3883 2023/01/31 11:39:54 - mmengine - INFO - Epoch(train) [10][1740/1879] lr: 3.6274e-02 eta: 2 days, 16:26:50 time: 0.4977 data_time: 0.0408 memory: 18108 grad_norm: 3.7397 loss: 5.5348 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.1908 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.3440 2023/01/31 11:40:05 - mmengine - INFO - Epoch(train) [10][1760/1879] lr: 3.6302e-02 eta: 2 days, 16:26:41 time: 0.5040 data_time: 0.0310 memory: 18108 grad_norm: 3.7513 loss: 5.4539 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.1186 top1_acc_1: 0.4235 top5_acc_1: 0.6706 loss_cls_1: 2.3354 2023/01/31 11:40:15 - mmengine - INFO - Epoch(train) [10][1780/1879] lr: 3.6330e-02 eta: 2 days, 16:26:33 time: 0.5068 data_time: 0.0357 memory: 18108 grad_norm: 3.8150 loss: 5.5920 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.1464 top1_acc_1: 0.4235 top5_acc_1: 0.6941 loss_cls_1: 2.4456 2023/01/31 11:40:25 - mmengine - INFO - Epoch(train) [10][1800/1879] lr: 3.6358e-02 eta: 2 days, 16:26:24 time: 0.5031 data_time: 0.0329 memory: 18108 grad_norm: 3.7474 loss: 5.6125 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.3344 top1_acc_1: 0.4824 top5_acc_1: 0.6824 loss_cls_1: 2.2781 2023/01/31 11:40:35 - mmengine - INFO - Epoch(train) [10][1820/1879] lr: 3.6386e-02 eta: 2 days, 16:26:16 time: 0.5062 data_time: 0.0416 memory: 18108 grad_norm: 3.7488 loss: 5.4348 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.1508 top1_acc_1: 0.4706 top5_acc_1: 0.7059 loss_cls_1: 2.2840 2023/01/31 11:40:45 - mmengine - INFO - Epoch(train) [10][1840/1879] lr: 3.6415e-02 eta: 2 days, 16:26:03 time: 0.4964 data_time: 0.0329 memory: 18108 grad_norm: 3.7262 loss: 5.2694 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.0151 top1_acc_1: 0.4235 top5_acc_1: 0.6235 loss_cls_1: 2.2543 2023/01/31 11:40:55 - mmengine - INFO - Epoch(train) [10][1860/1879] lr: 3.6443e-02 eta: 2 days, 16:25:52 time: 0.4982 data_time: 0.0337 memory: 18108 grad_norm: 3.6739 loss: 5.4748 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.1597 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 2.3151 2023/01/31 11:41:04 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 11:41:04 - mmengine - INFO - Epoch(train) [10][1879/1879] lr: 3.6470e-02 eta: 2 days, 16:25:28 time: 0.4753 data_time: 0.0288 memory: 18108 grad_norm: 3.8658 loss: 5.4102 top1_acc_0: 0.1429 top5_acc_0: 0.4286 loss_cls_0: 3.0845 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.3256 2023/01/31 11:41:18 - mmengine - INFO - Epoch(train) [11][ 20/1879] lr: 3.6498e-02 eta: 2 days, 16:26:59 time: 0.7073 data_time: 0.2472 memory: 18108 grad_norm: 3.7290 loss: 5.3874 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 3.0610 top1_acc_1: 0.4353 top5_acc_1: 0.6588 loss_cls_1: 2.3264 2023/01/31 11:41:28 - mmengine - INFO - Epoch(train) [11][ 40/1879] lr: 3.6526e-02 eta: 2 days, 16:26:31 time: 0.4654 data_time: 0.0333 memory: 18108 grad_norm: 3.7587 loss: 5.4935 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.1404 top1_acc_1: 0.4824 top5_acc_1: 0.6941 loss_cls_1: 2.3531 2023/01/31 11:41:37 - mmengine - INFO - Epoch(train) [11][ 60/1879] lr: 3.6554e-02 eta: 2 days, 16:26:09 time: 0.4774 data_time: 0.0359 memory: 18108 grad_norm: 3.7457 loss: 5.5022 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.1765 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 2.3257 2023/01/31 11:41:47 - mmengine - INFO - Epoch(train) [11][ 80/1879] lr: 3.6582e-02 eta: 2 days, 16:26:00 time: 0.5054 data_time: 0.0425 memory: 18108 grad_norm: 3.7195 loss: 5.3203 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 3.1474 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.1729 2023/01/31 11:41:57 - mmengine - INFO - Epoch(train) [11][ 100/1879] lr: 3.6610e-02 eta: 2 days, 16:25:37 time: 0.4747 data_time: 0.0338 memory: 18108 grad_norm: 3.7407 loss: 5.5364 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.0656 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.4708 2023/01/31 11:42:06 - mmengine - INFO - Epoch(train) [11][ 120/1879] lr: 3.6639e-02 eta: 2 days, 16:25:09 time: 0.4647 data_time: 0.0336 memory: 18108 grad_norm: 3.7321 loss: 5.4304 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 3.1357 top1_acc_1: 0.4588 top5_acc_1: 0.7059 loss_cls_1: 2.2947 2023/01/31 11:42:16 - mmengine - INFO - Epoch(train) [11][ 140/1879] lr: 3.6667e-02 eta: 2 days, 16:24:58 time: 0.5003 data_time: 0.0435 memory: 18108 grad_norm: 3.7033 loss: 5.4740 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.2221 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 2.2519 2023/01/31 11:42:26 - mmengine - INFO - Epoch(train) [11][ 160/1879] lr: 3.6695e-02 eta: 2 days, 16:24:36 time: 0.4761 data_time: 0.0322 memory: 18108 grad_norm: 3.7497 loss: 5.5042 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 3.2504 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 2.2538 2023/01/31 11:42:35 - mmengine - INFO - Epoch(train) [11][ 180/1879] lr: 3.6723e-02 eta: 2 days, 16:24:14 time: 0.4790 data_time: 0.0342 memory: 18108 grad_norm: 3.7616 loss: 5.3892 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.0909 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 2.2984 2023/01/31 11:42:45 - mmengine - INFO - Epoch(train) [11][ 200/1879] lr: 3.6751e-02 eta: 2 days, 16:23:54 time: 0.4815 data_time: 0.0318 memory: 18108 grad_norm: 3.7126 loss: 5.4711 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.1312 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 2.3399 2023/01/31 11:42:50 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 11:42:55 - mmengine - INFO - Epoch(train) [11][ 220/1879] lr: 3.6780e-02 eta: 2 days, 16:23:45 time: 0.5039 data_time: 0.0414 memory: 18108 grad_norm: 3.6902 loss: 5.1873 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9585 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.2288 2023/01/31 11:43:04 - mmengine - INFO - Epoch(train) [11][ 240/1879] lr: 3.6808e-02 eta: 2 days, 16:23:19 time: 0.4669 data_time: 0.0342 memory: 18108 grad_norm: 3.7315 loss: 5.3864 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.0781 top1_acc_1: 0.4706 top5_acc_1: 0.7882 loss_cls_1: 2.3083 2023/01/31 11:43:14 - mmengine - INFO - Epoch(train) [11][ 260/1879] lr: 3.6836e-02 eta: 2 days, 16:22:56 time: 0.4763 data_time: 0.0347 memory: 18108 grad_norm: 3.7584 loss: 5.3312 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9868 top1_acc_1: 0.4353 top5_acc_1: 0.6706 loss_cls_1: 2.3445 2023/01/31 11:43:24 - mmengine - INFO - Epoch(train) [11][ 280/1879] lr: 3.6864e-02 eta: 2 days, 16:22:39 time: 0.4876 data_time: 0.0340 memory: 18108 grad_norm: 3.7424 loss: 5.2954 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.1016 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 2.1938 2023/01/31 11:43:34 - mmengine - INFO - Epoch(train) [11][ 300/1879] lr: 3.6892e-02 eta: 2 days, 16:22:28 time: 0.4997 data_time: 0.0333 memory: 18108 grad_norm: 3.7221 loss: 5.4259 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.1257 top1_acc_1: 0.4118 top5_acc_1: 0.7176 loss_cls_1: 2.3002 2023/01/31 11:43:43 - mmengine - INFO - Epoch(train) [11][ 320/1879] lr: 3.6920e-02 eta: 2 days, 16:22:03 time: 0.4701 data_time: 0.0308 memory: 18108 grad_norm: 3.7405 loss: 5.3398 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.0648 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 2.2750 2023/01/31 11:43:53 - mmengine - INFO - Epoch(train) [11][ 340/1879] lr: 3.6949e-02 eta: 2 days, 16:21:46 time: 0.4874 data_time: 0.0345 memory: 18108 grad_norm: 3.7090 loss: 5.2457 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 2.9734 top1_acc_1: 0.4353 top5_acc_1: 0.7294 loss_cls_1: 2.2723 2023/01/31 11:44:03 - mmengine - INFO - Epoch(train) [11][ 360/1879] lr: 3.6977e-02 eta: 2 days, 16:21:34 time: 0.4972 data_time: 0.0402 memory: 18108 grad_norm: 3.6426 loss: 5.3251 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 3.0221 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 2.3030 2023/01/31 11:44:12 - mmengine - INFO - Epoch(train) [11][ 380/1879] lr: 3.7005e-02 eta: 2 days, 16:21:15 time: 0.4833 data_time: 0.0344 memory: 18108 grad_norm: 3.7490 loss: 5.3104 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.0727 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 2.2377 2023/01/31 11:44:22 - mmengine - INFO - Epoch(train) [11][ 400/1879] lr: 3.7033e-02 eta: 2 days, 16:20:51 time: 0.4718 data_time: 0.0324 memory: 18108 grad_norm: 3.7842 loss: 5.7382 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 3.2875 top1_acc_1: 0.4588 top5_acc_1: 0.8118 loss_cls_1: 2.4507 2023/01/31 11:44:32 - mmengine - INFO - Epoch(train) [11][ 420/1879] lr: 3.7061e-02 eta: 2 days, 16:20:42 time: 0.5045 data_time: 0.0341 memory: 18108 grad_norm: 3.6656 loss: 5.4877 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 3.1916 top1_acc_1: 0.4588 top5_acc_1: 0.6471 loss_cls_1: 2.2962 2023/01/31 11:44:42 - mmengine - INFO - Epoch(train) [11][ 440/1879] lr: 3.7089e-02 eta: 2 days, 16:20:24 time: 0.4846 data_time: 0.0387 memory: 18108 grad_norm: 3.7566 loss: 5.5353 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.2587 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.2766 2023/01/31 11:44:51 - mmengine - INFO - Epoch(train) [11][ 460/1879] lr: 3.7118e-02 eta: 2 days, 16:20:07 time: 0.4867 data_time: 0.0356 memory: 18108 grad_norm: 3.7146 loss: 5.5523 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.1332 top1_acc_1: 0.5176 top5_acc_1: 0.6706 loss_cls_1: 2.4191 2023/01/31 11:45:01 - mmengine - INFO - Epoch(train) [11][ 480/1879] lr: 3.7146e-02 eta: 2 days, 16:19:47 time: 0.4826 data_time: 0.0331 memory: 18108 grad_norm: 3.7373 loss: 5.3256 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.1094 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.2162 2023/01/31 11:45:11 - mmengine - INFO - Epoch(train) [11][ 500/1879] lr: 3.7174e-02 eta: 2 days, 16:19:40 time: 0.5076 data_time: 0.0332 memory: 18108 grad_norm: 3.7174 loss: 5.3773 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.0780 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.2993 2023/01/31 11:45:21 - mmengine - INFO - Epoch(train) [11][ 520/1879] lr: 3.7202e-02 eta: 2 days, 16:19:17 time: 0.4728 data_time: 0.0329 memory: 18108 grad_norm: 3.7262 loss: 5.5146 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.0826 top1_acc_1: 0.3529 top5_acc_1: 0.6588 loss_cls_1: 2.4320 2023/01/31 11:45:30 - mmengine - INFO - Epoch(train) [11][ 540/1879] lr: 3.7230e-02 eta: 2 days, 16:18:59 time: 0.4848 data_time: 0.0343 memory: 18108 grad_norm: 3.7269 loss: 5.3495 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.0501 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.2994 2023/01/31 11:45:40 - mmengine - INFO - Epoch(train) [11][ 560/1879] lr: 3.7259e-02 eta: 2 days, 16:18:36 time: 0.4758 data_time: 0.0320 memory: 18108 grad_norm: 3.6614 loss: 5.1821 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.9543 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 2.2278 2023/01/31 11:45:50 - mmengine - INFO - Epoch(train) [11][ 580/1879] lr: 3.7287e-02 eta: 2 days, 16:18:26 time: 0.5010 data_time: 0.0378 memory: 18108 grad_norm: 3.7314 loss: 5.3763 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.1308 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.2455 2023/01/31 11:45:59 - mmengine - INFO - Epoch(train) [11][ 600/1879] lr: 3.7315e-02 eta: 2 days, 16:18:03 time: 0.4748 data_time: 0.0322 memory: 18108 grad_norm: 3.6972 loss: 5.4066 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 3.0682 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 2.3384 2023/01/31 11:46:09 - mmengine - INFO - Epoch(train) [11][ 620/1879] lr: 3.7343e-02 eta: 2 days, 16:17:52 time: 0.4984 data_time: 0.0351 memory: 18108 grad_norm: 3.7488 loss: 5.3368 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.0643 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.2725 2023/01/31 11:46:19 - mmengine - INFO - Epoch(train) [11][ 640/1879] lr: 3.7371e-02 eta: 2 days, 16:17:38 time: 0.4937 data_time: 0.0330 memory: 18108 grad_norm: 3.7381 loss: 5.4147 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 3.0675 top1_acc_1: 0.4235 top5_acc_1: 0.6824 loss_cls_1: 2.3472 2023/01/31 11:46:29 - mmengine - INFO - Epoch(train) [11][ 660/1879] lr: 3.7399e-02 eta: 2 days, 16:17:22 time: 0.4894 data_time: 0.0335 memory: 18108 grad_norm: 3.6852 loss: 5.3818 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.0680 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.3139 2023/01/31 11:46:39 - mmengine - INFO - Epoch(train) [11][ 680/1879] lr: 3.7428e-02 eta: 2 days, 16:17:09 time: 0.4944 data_time: 0.0339 memory: 18108 grad_norm: 3.7462 loss: 5.3807 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 3.1081 top1_acc_1: 0.4235 top5_acc_1: 0.6706 loss_cls_1: 2.2726 2023/01/31 11:46:49 - mmengine - INFO - Epoch(train) [11][ 700/1879] lr: 3.7456e-02 eta: 2 days, 16:16:58 time: 0.4987 data_time: 0.0350 memory: 18108 grad_norm: 3.6520 loss: 5.6347 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 3.2202 top1_acc_1: 0.3882 top5_acc_1: 0.6824 loss_cls_1: 2.4146 2023/01/31 11:46:59 - mmengine - INFO - Epoch(train) [11][ 720/1879] lr: 3.7484e-02 eta: 2 days, 16:16:42 time: 0.4890 data_time: 0.0318 memory: 18108 grad_norm: 3.6462 loss: 5.6475 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.2648 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 2.3826 2023/01/31 11:47:09 - mmengine - INFO - Epoch(train) [11][ 740/1879] lr: 3.7512e-02 eta: 2 days, 16:16:29 time: 0.4961 data_time: 0.0336 memory: 18108 grad_norm: 3.7345 loss: 5.3265 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 3.0966 top1_acc_1: 0.5294 top5_acc_1: 0.8471 loss_cls_1: 2.2299 2023/01/31 11:47:18 - mmengine - INFO - Epoch(train) [11][ 760/1879] lr: 3.7540e-02 eta: 2 days, 16:16:08 time: 0.4783 data_time: 0.0327 memory: 18108 grad_norm: 3.7407 loss: 5.3013 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.9272 top1_acc_1: 0.4235 top5_acc_1: 0.6353 loss_cls_1: 2.3741 2023/01/31 11:47:28 - mmengine - INFO - Epoch(train) [11][ 780/1879] lr: 3.7568e-02 eta: 2 days, 16:15:58 time: 0.5002 data_time: 0.0347 memory: 18108 grad_norm: 3.7118 loss: 5.5334 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.2272 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.3062 2023/01/31 11:47:38 - mmengine - INFO - Epoch(train) [11][ 800/1879] lr: 3.7597e-02 eta: 2 days, 16:15:41 time: 0.4875 data_time: 0.0324 memory: 18108 grad_norm: 3.7023 loss: 5.2882 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.9615 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.3268 2023/01/31 11:47:48 - mmengine - INFO - Epoch(train) [11][ 820/1879] lr: 3.7625e-02 eta: 2 days, 16:15:27 time: 0.4927 data_time: 0.0331 memory: 18108 grad_norm: 3.7046 loss: 5.3621 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 3.0091 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.3531 2023/01/31 11:47:57 - mmengine - INFO - Epoch(train) [11][ 840/1879] lr: 3.7653e-02 eta: 2 days, 16:15:09 time: 0.4849 data_time: 0.0352 memory: 18108 grad_norm: 3.6918 loss: 5.4446 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 3.1696 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 2.2749 2023/01/31 11:48:07 - mmengine - INFO - Epoch(train) [11][ 860/1879] lr: 3.7681e-02 eta: 2 days, 16:14:56 time: 0.4941 data_time: 0.0429 memory: 18108 grad_norm: 3.7074 loss: 5.2731 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9522 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 2.3210 2023/01/31 11:48:17 - mmengine - INFO - Epoch(train) [11][ 880/1879] lr: 3.7709e-02 eta: 2 days, 16:14:36 time: 0.4801 data_time: 0.0312 memory: 18108 grad_norm: 3.7293 loss: 5.2183 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9828 top1_acc_1: 0.4471 top5_acc_1: 0.6941 loss_cls_1: 2.2355 2023/01/31 11:48:27 - mmengine - INFO - Epoch(train) [11][ 900/1879] lr: 3.7737e-02 eta: 2 days, 16:14:19 time: 0.4868 data_time: 0.0335 memory: 18108 grad_norm: 3.6916 loss: 5.2062 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8711 top1_acc_1: 0.4235 top5_acc_1: 0.6118 loss_cls_1: 2.3351 2023/01/31 11:48:36 - mmengine - INFO - Epoch(train) [11][ 920/1879] lr: 3.7766e-02 eta: 2 days, 16:13:55 time: 0.4715 data_time: 0.0329 memory: 18108 grad_norm: 3.6874 loss: 5.2511 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.9711 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 2.2801 2023/01/31 11:48:46 - mmengine - INFO - Epoch(train) [11][ 940/1879] lr: 3.7794e-02 eta: 2 days, 16:13:43 time: 0.4966 data_time: 0.0401 memory: 18108 grad_norm: 3.7005 loss: 5.2917 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.9483 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 2.3435 2023/01/31 11:48:55 - mmengine - INFO - Epoch(train) [11][ 960/1879] lr: 3.7822e-02 eta: 2 days, 16:13:18 time: 0.4695 data_time: 0.0316 memory: 18108 grad_norm: 3.7293 loss: 5.5118 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.0931 top1_acc_1: 0.4118 top5_acc_1: 0.7412 loss_cls_1: 2.4187 2023/01/31 11:49:05 - mmengine - INFO - Epoch(train) [11][ 980/1879] lr: 3.7850e-02 eta: 2 days, 16:13:07 time: 0.4977 data_time: 0.0357 memory: 18108 grad_norm: 3.7373 loss: 5.3464 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 3.0023 top1_acc_1: 0.4941 top5_acc_1: 0.6941 loss_cls_1: 2.3441 2023/01/31 11:49:15 - mmengine - INFO - Epoch(train) [11][1000/1879] lr: 3.7878e-02 eta: 2 days, 16:12:52 time: 0.4923 data_time: 0.0330 memory: 18108 grad_norm: 3.6958 loss: 5.3072 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.9269 top1_acc_1: 0.5412 top5_acc_1: 0.7059 loss_cls_1: 2.3804 2023/01/31 11:49:25 - mmengine - INFO - Epoch(train) [11][1020/1879] lr: 3.7907e-02 eta: 2 days, 16:12:45 time: 0.5061 data_time: 0.0400 memory: 18108 grad_norm: 3.7199 loss: 5.2207 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 3.0313 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 2.1894 2023/01/31 11:49:35 - mmengine - INFO - Epoch(train) [11][1040/1879] lr: 3.7935e-02 eta: 2 days, 16:12:33 time: 0.4974 data_time: 0.0332 memory: 18108 grad_norm: 3.7001 loss: 5.3872 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.0088 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 2.3784 2023/01/31 11:49:46 - mmengine - INFO - Epoch(train) [11][1060/1879] lr: 3.7963e-02 eta: 2 days, 16:12:30 time: 0.5172 data_time: 0.0356 memory: 18108 grad_norm: 3.6955 loss: 5.3460 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.0207 top1_acc_1: 0.4588 top5_acc_1: 0.7059 loss_cls_1: 2.3254 2023/01/31 11:49:56 - mmengine - INFO - Epoch(train) [11][1080/1879] lr: 3.7991e-02 eta: 2 days, 16:12:22 time: 0.5045 data_time: 0.0405 memory: 18108 grad_norm: 3.6872 loss: 5.4057 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.1449 top1_acc_1: 0.4353 top5_acc_1: 0.7647 loss_cls_1: 2.2609 2023/01/31 11:50:06 - mmengine - INFO - Epoch(train) [11][1100/1879] lr: 3.8019e-02 eta: 2 days, 16:12:16 time: 0.5104 data_time: 0.0335 memory: 18108 grad_norm: 3.7386 loss: 5.5086 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 3.2440 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.2647 2023/01/31 11:50:16 - mmengine - INFO - Epoch(train) [11][1120/1879] lr: 3.8047e-02 eta: 2 days, 16:12:05 time: 0.4991 data_time: 0.0318 memory: 18108 grad_norm: 3.7340 loss: 5.3332 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.1721 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.1611 2023/01/31 11:50:26 - mmengine - INFO - Epoch(train) [11][1140/1879] lr: 3.8076e-02 eta: 2 days, 16:12:06 time: 0.5241 data_time: 0.0336 memory: 18108 grad_norm: 3.6834 loss: 5.5088 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.1904 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.3184 2023/01/31 11:50:37 - mmengine - INFO - Epoch(train) [11][1160/1879] lr: 3.8104e-02 eta: 2 days, 16:11:56 time: 0.5023 data_time: 0.0325 memory: 18108 grad_norm: 3.7166 loss: 5.5295 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 3.1750 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 2.3545 2023/01/31 11:50:47 - mmengine - INFO - Epoch(train) [11][1180/1879] lr: 3.8132e-02 eta: 2 days, 16:11:52 time: 0.5143 data_time: 0.0353 memory: 18108 grad_norm: 3.7212 loss: 5.4479 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 3.1240 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.3240 2023/01/31 11:50:57 - mmengine - INFO - Epoch(train) [11][1200/1879] lr: 3.8160e-02 eta: 2 days, 16:11:42 time: 0.5015 data_time: 0.0311 memory: 18108 grad_norm: 3.6646 loss: 5.4059 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 3.1816 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 2.2243 2023/01/31 11:51:02 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 11:51:07 - mmengine - INFO - Epoch(train) [11][1220/1879] lr: 3.8188e-02 eta: 2 days, 16:11:43 time: 0.5258 data_time: 0.0336 memory: 18108 grad_norm: 3.7084 loss: 5.5484 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 3.1908 top1_acc_1: 0.3882 top5_acc_1: 0.6118 loss_cls_1: 2.3576 2023/01/31 11:51:17 - mmengine - INFO - Epoch(train) [11][1240/1879] lr: 3.8216e-02 eta: 2 days, 16:11:32 time: 0.4977 data_time: 0.0322 memory: 18108 grad_norm: 3.7484 loss: 5.3688 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 3.0895 top1_acc_1: 0.4118 top5_acc_1: 0.6471 loss_cls_1: 2.2793 2023/01/31 11:51:28 - mmengine - INFO - Epoch(train) [11][1260/1879] lr: 3.8245e-02 eta: 2 days, 16:11:32 time: 0.5229 data_time: 0.0351 memory: 18108 grad_norm: 3.6885 loss: 5.2743 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.9541 top1_acc_1: 0.4706 top5_acc_1: 0.6706 loss_cls_1: 2.3202 2023/01/31 11:51:38 - mmengine - INFO - Epoch(train) [11][1280/1879] lr: 3.8273e-02 eta: 2 days, 16:11:28 time: 0.5141 data_time: 0.0390 memory: 18108 grad_norm: 3.6948 loss: 5.5095 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.1303 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.3792 2023/01/31 11:51:48 - mmengine - INFO - Epoch(train) [11][1300/1879] lr: 3.8301e-02 eta: 2 days, 16:11:27 time: 0.5219 data_time: 0.0357 memory: 18108 grad_norm: 3.7155 loss: 5.4537 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.1531 top1_acc_1: 0.5294 top5_acc_1: 0.6941 loss_cls_1: 2.3006 2023/01/31 11:51:59 - mmengine - INFO - Epoch(train) [11][1320/1879] lr: 3.8329e-02 eta: 2 days, 16:11:22 time: 0.5116 data_time: 0.0322 memory: 18108 grad_norm: 3.6696 loss: 5.3900 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 3.1057 top1_acc_1: 0.4706 top5_acc_1: 0.6824 loss_cls_1: 2.2842 2023/01/31 11:52:09 - mmengine - INFO - Epoch(train) [11][1340/1879] lr: 3.8357e-02 eta: 2 days, 16:11:22 time: 0.5242 data_time: 0.0345 memory: 18108 grad_norm: 3.6966 loss: 5.1304 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.8817 top1_acc_1: 0.4353 top5_acc_1: 0.7059 loss_cls_1: 2.2487 2023/01/31 11:52:19 - mmengine - INFO - Epoch(train) [11][1360/1879] lr: 3.8386e-02 eta: 2 days, 16:11:12 time: 0.5003 data_time: 0.0391 memory: 18108 grad_norm: 3.7346 loss: 5.3229 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.0560 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.2668 2023/01/31 11:52:30 - mmengine - INFO - Epoch(train) [11][1380/1879] lr: 3.8414e-02 eta: 2 days, 16:11:16 time: 0.5334 data_time: 0.0341 memory: 18108 grad_norm: 3.7009 loss: 5.2776 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.9731 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 2.3044 2023/01/31 11:52:40 - mmengine - INFO - Epoch(train) [11][1400/1879] lr: 3.8442e-02 eta: 2 days, 16:11:11 time: 0.5112 data_time: 0.0322 memory: 18108 grad_norm: 3.6822 loss: 5.2405 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.9663 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 2.2742 2023/01/31 11:52:51 - mmengine - INFO - Epoch(train) [11][1420/1879] lr: 3.8470e-02 eta: 2 days, 16:11:09 time: 0.5209 data_time: 0.0337 memory: 18108 grad_norm: 3.6758 loss: 5.1178 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8757 top1_acc_1: 0.4471 top5_acc_1: 0.7412 loss_cls_1: 2.2420 2023/01/31 11:53:01 - mmengine - INFO - Epoch(train) [11][1440/1879] lr: 3.8498e-02 eta: 2 days, 16:11:02 time: 0.5078 data_time: 0.0318 memory: 18108 grad_norm: 3.7301 loss: 5.2942 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.9869 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.3073 2023/01/31 11:53:11 - mmengine - INFO - Epoch(train) [11][1460/1879] lr: 3.8526e-02 eta: 2 days, 16:11:01 time: 0.5214 data_time: 0.0330 memory: 18108 grad_norm: 3.7071 loss: 5.3674 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 3.0590 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.3084 2023/01/31 11:53:21 - mmengine - INFO - Epoch(train) [11][1480/1879] lr: 3.8555e-02 eta: 2 days, 16:10:53 time: 0.5047 data_time: 0.0321 memory: 18108 grad_norm: 3.7117 loss: 5.4911 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.1389 top1_acc_1: 0.4588 top5_acc_1: 0.6941 loss_cls_1: 2.3523 2023/01/31 11:53:32 - mmengine - INFO - Epoch(train) [11][1500/1879] lr: 3.8583e-02 eta: 2 days, 16:10:52 time: 0.5214 data_time: 0.0322 memory: 18108 grad_norm: 3.6842 loss: 5.4495 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.0238 top1_acc_1: 0.4588 top5_acc_1: 0.6471 loss_cls_1: 2.4257 2023/01/31 11:53:42 - mmengine - INFO - Epoch(train) [11][1520/1879] lr: 3.8611e-02 eta: 2 days, 16:10:46 time: 0.5117 data_time: 0.0311 memory: 18108 grad_norm: 3.6538 loss: 5.3398 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.1561 top1_acc_1: 0.4588 top5_acc_1: 0.8000 loss_cls_1: 2.1837 2023/01/31 11:53:53 - mmengine - INFO - Epoch(train) [11][1540/1879] lr: 3.8639e-02 eta: 2 days, 16:10:51 time: 0.5344 data_time: 0.0325 memory: 18108 grad_norm: 3.6537 loss: 5.5110 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 3.1630 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 2.3480 2023/01/31 11:54:03 - mmengine - INFO - Epoch(train) [11][1560/1879] lr: 3.8667e-02 eta: 2 days, 16:10:43 time: 0.5057 data_time: 0.0325 memory: 18108 grad_norm: 3.6564 loss: 5.2309 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9417 top1_acc_1: 0.4471 top5_acc_1: 0.6941 loss_cls_1: 2.2892 2023/01/31 11:54:13 - mmengine - INFO - Epoch(train) [11][1580/1879] lr: 3.8695e-02 eta: 2 days, 16:10:37 time: 0.5102 data_time: 0.0333 memory: 18108 grad_norm: 3.6609 loss: 5.2865 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 3.0275 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 2.2590 2023/01/31 11:54:23 - mmengine - INFO - Epoch(train) [11][1600/1879] lr: 3.8724e-02 eta: 2 days, 16:10:31 time: 0.5111 data_time: 0.0310 memory: 18108 grad_norm: 3.7037 loss: 5.3303 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.0168 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.3136 2023/01/31 11:54:33 - mmengine - INFO - Epoch(train) [11][1620/1879] lr: 3.8752e-02 eta: 2 days, 16:10:29 time: 0.5181 data_time: 0.0357 memory: 18108 grad_norm: 3.7085 loss: 5.1927 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.8817 top1_acc_1: 0.4118 top5_acc_1: 0.7765 loss_cls_1: 2.3110 2023/01/31 11:54:44 - mmengine - INFO - Epoch(train) [11][1640/1879] lr: 3.8780e-02 eta: 2 days, 16:10:22 time: 0.5087 data_time: 0.0381 memory: 18108 grad_norm: 3.6858 loss: 5.3745 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.1404 top1_acc_1: 0.4235 top5_acc_1: 0.6471 loss_cls_1: 2.2341 2023/01/31 11:54:55 - mmengine - INFO - Epoch(train) [11][1660/1879] lr: 3.8808e-02 eta: 2 days, 16:10:32 time: 0.5460 data_time: 0.0357 memory: 18108 grad_norm: 3.6091 loss: 5.3136 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 3.0697 top1_acc_1: 0.4588 top5_acc_1: 0.6941 loss_cls_1: 2.2438 2023/01/31 11:55:05 - mmengine - INFO - Epoch(train) [11][1680/1879] lr: 3.8836e-02 eta: 2 days, 16:10:28 time: 0.5156 data_time: 0.0318 memory: 18108 grad_norm: 3.6910 loss: 5.4865 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.1310 top1_acc_1: 0.4353 top5_acc_1: 0.7412 loss_cls_1: 2.3555 2023/01/31 11:55:15 - mmengine - INFO - Epoch(train) [11][1700/1879] lr: 3.8865e-02 eta: 2 days, 16:10:20 time: 0.5062 data_time: 0.0406 memory: 18108 grad_norm: 3.6821 loss: 5.5088 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 3.1758 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.3330 2023/01/31 11:55:25 - mmengine - INFO - Epoch(train) [11][1720/1879] lr: 3.8893e-02 eta: 2 days, 16:10:14 time: 0.5100 data_time: 0.0310 memory: 18108 grad_norm: 3.6114 loss: 5.1653 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.9507 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.2146 2023/01/31 11:55:36 - mmengine - INFO - Epoch(train) [11][1740/1879] lr: 3.8921e-02 eta: 2 days, 16:10:12 time: 0.5207 data_time: 0.0327 memory: 18108 grad_norm: 3.6748 loss: 5.5594 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.1803 top1_acc_1: 0.5176 top5_acc_1: 0.6824 loss_cls_1: 2.3790 2023/01/31 11:55:46 - mmengine - INFO - Epoch(train) [11][1760/1879] lr: 3.8949e-02 eta: 2 days, 16:10:07 time: 0.5112 data_time: 0.0333 memory: 18108 grad_norm: 3.6539 loss: 5.1415 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8736 top1_acc_1: 0.4941 top5_acc_1: 0.6941 loss_cls_1: 2.2679 2023/01/31 11:55:56 - mmengine - INFO - Epoch(train) [11][1780/1879] lr: 3.8977e-02 eta: 2 days, 16:10:01 time: 0.5105 data_time: 0.0420 memory: 18108 grad_norm: 3.6974 loss: 5.1995 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9198 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.2797 2023/01/31 11:56:07 - mmengine - INFO - Epoch(train) [11][1800/1879] lr: 3.9005e-02 eta: 2 days, 16:10:03 time: 0.5300 data_time: 0.0318 memory: 18108 grad_norm: 3.6776 loss: 5.2666 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8953 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 2.3714 2023/01/31 11:56:17 - mmengine - INFO - Epoch(train) [11][1820/1879] lr: 3.9034e-02 eta: 2 days, 16:09:54 time: 0.5040 data_time: 0.0334 memory: 18108 grad_norm: 3.6847 loss: 5.4901 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.2384 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 2.2518 2023/01/31 11:56:27 - mmengine - INFO - Epoch(train) [11][1840/1879] lr: 3.9062e-02 eta: 2 days, 16:09:45 time: 0.5042 data_time: 0.0393 memory: 18108 grad_norm: 3.6751 loss: 5.4828 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.1514 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.3314 2023/01/31 11:56:37 - mmengine - INFO - Epoch(train) [11][1860/1879] lr: 3.9090e-02 eta: 2 days, 16:09:43 time: 0.5197 data_time: 0.0352 memory: 18108 grad_norm: 3.6906 loss: 5.3366 top1_acc_0: 0.0625 top5_acc_0: 0.3125 loss_cls_0: 3.0221 top1_acc_1: 0.4471 top5_acc_1: 0.7059 loss_cls_1: 2.3145 2023/01/31 11:56:46 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 11:56:46 - mmengine - INFO - Epoch(train) [11][1879/1879] lr: 3.9117e-02 eta: 2 days, 16:09:24 time: 0.4792 data_time: 0.0291 memory: 18108 grad_norm: 3.7530 loss: 5.6697 top1_acc_0: 0.1429 top5_acc_0: 0.2857 loss_cls_0: 3.2723 top1_acc_1: 0.4118 top5_acc_1: 0.6824 loss_cls_1: 2.3973 2023/01/31 11:57:01 - mmengine - INFO - Epoch(train) [12][ 20/1879] lr: 3.9145e-02 eta: 2 days, 16:10:41 time: 0.6963 data_time: 0.2550 memory: 18108 grad_norm: 3.6374 loss: 5.3396 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 3.2085 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 2.1311 2023/01/31 11:57:11 - mmengine - INFO - Epoch(train) [12][ 40/1879] lr: 3.9173e-02 eta: 2 days, 16:10:19 time: 0.4751 data_time: 0.0329 memory: 18108 grad_norm: 3.6493 loss: 5.1251 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.0094 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.1158 2023/01/31 11:57:20 - mmengine - INFO - Epoch(train) [12][ 60/1879] lr: 3.9201e-02 eta: 2 days, 16:10:03 time: 0.4899 data_time: 0.0334 memory: 18108 grad_norm: 3.6636 loss: 5.1866 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.0124 top1_acc_1: 0.4471 top5_acc_1: 0.6824 loss_cls_1: 2.1742 2023/01/31 11:57:31 - mmengine - INFO - Epoch(train) [12][ 80/1879] lr: 3.9229e-02 eta: 2 days, 16:10:03 time: 0.5248 data_time: 0.0421 memory: 18108 grad_norm: 3.6343 loss: 5.4290 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.1737 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.2552 2023/01/31 11:57:41 - mmengine - INFO - Epoch(train) [12][ 100/1879] lr: 3.9258e-02 eta: 2 days, 16:09:47 time: 0.4874 data_time: 0.0347 memory: 18108 grad_norm: 3.6603 loss: 5.0777 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.8809 top1_acc_1: 0.5647 top5_acc_1: 0.7176 loss_cls_1: 2.1967 2023/01/31 11:57:50 - mmengine - INFO - Epoch(train) [12][ 120/1879] lr: 3.9286e-02 eta: 2 days, 16:09:34 time: 0.4960 data_time: 0.0311 memory: 18108 grad_norm: 3.6855 loss: 5.2463 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.0396 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.2068 2023/01/31 11:58:01 - mmengine - INFO - Epoch(train) [12][ 140/1879] lr: 3.9314e-02 eta: 2 days, 16:09:24 time: 0.5012 data_time: 0.0334 memory: 18108 grad_norm: 3.6469 loss: 5.2052 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.9531 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.2521 2023/01/31 11:58:11 - mmengine - INFO - Epoch(train) [12][ 160/1879] lr: 3.9342e-02 eta: 2 days, 16:09:17 time: 0.5095 data_time: 0.0327 memory: 18108 grad_norm: 3.6565 loss: 5.1066 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.9057 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 2.2009 2023/01/31 11:58:21 - mmengine - INFO - Epoch(train) [12][ 180/1879] lr: 3.9370e-02 eta: 2 days, 16:09:03 time: 0.4917 data_time: 0.0350 memory: 18108 grad_norm: 3.7097 loss: 5.3377 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 3.0090 top1_acc_1: 0.4353 top5_acc_1: 0.6471 loss_cls_1: 2.3286 2023/01/31 11:58:31 - mmengine - INFO - Epoch(train) [12][ 200/1879] lr: 3.9398e-02 eta: 2 days, 16:08:58 time: 0.5142 data_time: 0.0324 memory: 18108 grad_norm: 3.6193 loss: 5.4989 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 3.2474 top1_acc_1: 0.6118 top5_acc_1: 0.7412 loss_cls_1: 2.2515 2023/01/31 11:58:41 - mmengine - INFO - Epoch(train) [12][ 220/1879] lr: 3.9427e-02 eta: 2 days, 16:08:49 time: 0.5033 data_time: 0.0345 memory: 18108 grad_norm: 3.6792 loss: 5.2683 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.0795 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.1888 2023/01/31 11:58:51 - mmengine - INFO - Epoch(train) [12][ 240/1879] lr: 3.9455e-02 eta: 2 days, 16:08:40 time: 0.5056 data_time: 0.0403 memory: 18108 grad_norm: 3.6582 loss: 5.0762 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.8198 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 2.2564 2023/01/31 11:59:01 - mmengine - INFO - Epoch(train) [12][ 260/1879] lr: 3.9483e-02 eta: 2 days, 16:08:27 time: 0.4950 data_time: 0.0346 memory: 18108 grad_norm: 3.6499 loss: 5.4074 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.2355 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 2.1718 2023/01/31 11:59:11 - mmengine - INFO - Epoch(train) [12][ 280/1879] lr: 3.9511e-02 eta: 2 days, 16:08:25 time: 0.5199 data_time: 0.0313 memory: 18108 grad_norm: 3.6712 loss: 5.1770 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8832 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.2938 2023/01/31 11:59:21 - mmengine - INFO - Epoch(train) [12][ 300/1879] lr: 3.9539e-02 eta: 2 days, 16:08:14 time: 0.4994 data_time: 0.0344 memory: 18108 grad_norm: 3.6564 loss: 5.3748 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 3.0798 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.2950 2023/01/31 11:59:31 - mmengine - INFO - Epoch(train) [12][ 320/1879] lr: 3.9568e-02 eta: 2 days, 16:08:05 time: 0.5034 data_time: 0.0417 memory: 18108 grad_norm: 3.6476 loss: 5.1385 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 3.0344 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 2.1041 2023/01/31 11:59:37 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 11:59:41 - mmengine - INFO - Epoch(train) [12][ 340/1879] lr: 3.9596e-02 eta: 2 days, 16:07:52 time: 0.4955 data_time: 0.0351 memory: 18108 grad_norm: 3.6728 loss: 5.2561 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 3.0202 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.2359 2023/01/31 11:59:51 - mmengine - INFO - Epoch(train) [12][ 360/1879] lr: 3.9624e-02 eta: 2 days, 16:07:41 time: 0.4996 data_time: 0.0346 memory: 18108 grad_norm: 3.6354 loss: 5.3274 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.0656 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.2618 2023/01/31 12:00:01 - mmengine - INFO - Epoch(train) [12][ 380/1879] lr: 3.9652e-02 eta: 2 days, 16:07:28 time: 0.4945 data_time: 0.0420 memory: 18108 grad_norm: 3.6456 loss: 5.2612 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.9859 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 2.2753 2023/01/31 12:00:11 - mmengine - INFO - Epoch(train) [12][ 400/1879] lr: 3.9680e-02 eta: 2 days, 16:07:18 time: 0.5021 data_time: 0.0330 memory: 18108 grad_norm: 3.6941 loss: 5.3396 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 3.1419 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.1978 2023/01/31 12:00:21 - mmengine - INFO - Epoch(train) [12][ 420/1879] lr: 3.9708e-02 eta: 2 days, 16:07:02 time: 0.4884 data_time: 0.0351 memory: 18108 grad_norm: 3.7078 loss: 5.1616 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.0123 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.1493 2023/01/31 12:00:31 - mmengine - INFO - Epoch(train) [12][ 440/1879] lr: 3.9737e-02 eta: 2 days, 16:06:56 time: 0.5110 data_time: 0.0325 memory: 18108 grad_norm: 3.6680 loss: 5.1716 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8695 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.3021 2023/01/31 12:00:41 - mmengine - INFO - Epoch(train) [12][ 460/1879] lr: 3.9765e-02 eta: 2 days, 16:06:45 time: 0.5000 data_time: 0.0410 memory: 18108 grad_norm: 3.7087 loss: 5.1905 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9639 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 2.2266 2023/01/31 12:00:51 - mmengine - INFO - Epoch(train) [12][ 480/1879] lr: 3.9793e-02 eta: 2 days, 16:06:37 time: 0.5062 data_time: 0.0323 memory: 18108 grad_norm: 3.6430 loss: 5.2225 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9935 top1_acc_1: 0.4471 top5_acc_1: 0.6706 loss_cls_1: 2.2290 2023/01/31 12:01:01 - mmengine - INFO - Epoch(train) [12][ 500/1879] lr: 3.9821e-02 eta: 2 days, 16:06:26 time: 0.5011 data_time: 0.0354 memory: 18108 grad_norm: 3.6773 loss: 5.2493 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.9660 top1_acc_1: 0.5412 top5_acc_1: 0.6941 loss_cls_1: 2.2833 2023/01/31 12:01:11 - mmengine - INFO - Epoch(train) [12][ 520/1879] lr: 3.9849e-02 eta: 2 days, 16:06:13 time: 0.4954 data_time: 0.0337 memory: 18108 grad_norm: 3.7384 loss: 5.0846 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8323 top1_acc_1: 0.4353 top5_acc_1: 0.6706 loss_cls_1: 2.2523 2023/01/31 12:01:21 - mmengine - INFO - Epoch(train) [12][ 540/1879] lr: 3.9877e-02 eta: 2 days, 16:06:07 time: 0.5093 data_time: 0.0403 memory: 18108 grad_norm: 3.6350 loss: 5.3130 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.0066 top1_acc_1: 0.4706 top5_acc_1: 0.6824 loss_cls_1: 2.3064 2023/01/31 12:01:31 - mmengine - INFO - Epoch(train) [12][ 560/1879] lr: 3.9906e-02 eta: 2 days, 16:05:52 time: 0.4917 data_time: 0.0336 memory: 18108 grad_norm: 3.6707 loss: 5.3425 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.0054 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 2.3371 2023/01/31 12:01:41 - mmengine - INFO - Epoch(train) [12][ 580/1879] lr: 3.9934e-02 eta: 2 days, 16:05:39 time: 0.4945 data_time: 0.0350 memory: 18108 grad_norm: 3.6355 loss: 5.4222 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 3.1588 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.2634 2023/01/31 12:01:51 - mmengine - INFO - Epoch(train) [12][ 600/1879] lr: 3.9962e-02 eta: 2 days, 16:05:27 time: 0.4964 data_time: 0.0323 memory: 18108 grad_norm: 3.6172 loss: 5.1514 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.9341 top1_acc_1: 0.4588 top5_acc_1: 0.6706 loss_cls_1: 2.2173 2023/01/31 12:02:01 - mmengine - INFO - Epoch(train) [12][ 620/1879] lr: 3.9990e-02 eta: 2 days, 16:05:20 time: 0.5105 data_time: 0.0415 memory: 18108 grad_norm: 3.5950 loss: 5.2201 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8729 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.3471 2023/01/31 12:02:11 - mmengine - INFO - Epoch(train) [12][ 640/1879] lr: 4.0018e-02 eta: 2 days, 16:05:06 time: 0.4924 data_time: 0.0352 memory: 18108 grad_norm: 3.6267 loss: 5.1687 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8918 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 2.2769 2023/01/31 12:02:21 - mmengine - INFO - Epoch(train) [12][ 660/1879] lr: 4.0046e-02 eta: 2 days, 16:04:53 time: 0.4952 data_time: 0.0350 memory: 18108 grad_norm: 3.6462 loss: 5.2755 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.0131 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 2.2624 2023/01/31 12:02:31 - mmengine - INFO - Epoch(train) [12][ 680/1879] lr: 4.0075e-02 eta: 2 days, 16:04:42 time: 0.4986 data_time: 0.0332 memory: 18108 grad_norm: 3.6483 loss: 5.3570 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.0906 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.2664 2023/01/31 12:02:41 - mmengine - INFO - Epoch(train) [12][ 700/1879] lr: 4.0103e-02 eta: 2 days, 16:04:30 time: 0.4971 data_time: 0.0339 memory: 18108 grad_norm: 3.7092 loss: 5.4230 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 3.1904 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.2325 2023/01/31 12:02:51 - mmengine - INFO - Epoch(train) [12][ 720/1879] lr: 4.0131e-02 eta: 2 days, 16:04:15 time: 0.4900 data_time: 0.0337 memory: 18108 grad_norm: 3.5966 loss: 5.1675 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.9015 top1_acc_1: 0.4353 top5_acc_1: 0.7059 loss_cls_1: 2.2660 2023/01/31 12:03:01 - mmengine - INFO - Epoch(train) [12][ 740/1879] lr: 4.0159e-02 eta: 2 days, 16:04:03 time: 0.4985 data_time: 0.0324 memory: 18108 grad_norm: 3.6779 loss: 5.2655 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0267 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.2388 2023/01/31 12:03:11 - mmengine - INFO - Epoch(train) [12][ 760/1879] lr: 4.0187e-02 eta: 2 days, 16:03:52 time: 0.5001 data_time: 0.0327 memory: 18108 grad_norm: 3.6695 loss: 5.2890 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.1494 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.1396 2023/01/31 12:03:21 - mmengine - INFO - Epoch(train) [12][ 780/1879] lr: 4.0216e-02 eta: 2 days, 16:03:42 time: 0.5016 data_time: 0.0348 memory: 18108 grad_norm: 3.6414 loss: 5.4209 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.1302 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 2.2906 2023/01/31 12:03:31 - mmengine - INFO - Epoch(train) [12][ 800/1879] lr: 4.0244e-02 eta: 2 days, 16:03:30 time: 0.4972 data_time: 0.0354 memory: 18108 grad_norm: 3.6336 loss: 5.3640 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.1630 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.2009 2023/01/31 12:03:41 - mmengine - INFO - Epoch(train) [12][ 820/1879] lr: 4.0272e-02 eta: 2 days, 16:03:22 time: 0.5049 data_time: 0.0294 memory: 18108 grad_norm: 3.6525 loss: 5.2305 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.9974 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 2.2331 2023/01/31 12:03:51 - mmengine - INFO - Epoch(train) [12][ 840/1879] lr: 4.0300e-02 eta: 2 days, 16:03:19 time: 0.5191 data_time: 0.0360 memory: 18108 grad_norm: 3.6472 loss: 5.5157 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.2282 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 2.2875 2023/01/31 12:04:01 - mmengine - INFO - Epoch(train) [12][ 860/1879] lr: 4.0328e-02 eta: 2 days, 16:03:11 time: 0.5077 data_time: 0.0313 memory: 18108 grad_norm: 3.5915 loss: 5.3557 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.0582 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 2.2975 2023/01/31 12:04:12 - mmengine - INFO - Epoch(train) [12][ 880/1879] lr: 4.0356e-02 eta: 2 days, 16:03:16 time: 0.5367 data_time: 0.0448 memory: 18108 grad_norm: 3.6529 loss: 5.2651 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.0355 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 2.2297 2023/01/31 12:04:22 - mmengine - INFO - Epoch(train) [12][ 900/1879] lr: 4.0385e-02 eta: 2 days, 16:03:11 time: 0.5125 data_time: 0.0312 memory: 18108 grad_norm: 3.5985 loss: 5.1084 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9303 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.1781 2023/01/31 12:04:33 - mmengine - INFO - Epoch(train) [12][ 920/1879] lr: 4.0413e-02 eta: 2 days, 16:03:06 time: 0.5144 data_time: 0.0359 memory: 18108 grad_norm: 3.6607 loss: 5.2133 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 3.0204 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.1928 2023/01/31 12:04:43 - mmengine - INFO - Epoch(train) [12][ 940/1879] lr: 4.0441e-02 eta: 2 days, 16:03:02 time: 0.5162 data_time: 0.0316 memory: 18108 grad_norm: 3.6900 loss: 5.3692 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 3.1804 top1_acc_1: 0.4235 top5_acc_1: 0.7294 loss_cls_1: 2.1888 2023/01/31 12:04:54 - mmengine - INFO - Epoch(train) [12][ 960/1879] lr: 4.0469e-02 eta: 2 days, 16:03:13 time: 0.5507 data_time: 0.0425 memory: 18108 grad_norm: 3.6633 loss: 5.3792 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.1581 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 2.2210 2023/01/31 12:05:04 - mmengine - INFO - Epoch(train) [12][ 980/1879] lr: 4.0497e-02 eta: 2 days, 16:03:03 time: 0.5036 data_time: 0.0302 memory: 18108 grad_norm: 3.6710 loss: 5.1654 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9205 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.2449 2023/01/31 12:05:15 - mmengine - INFO - Epoch(train) [12][1000/1879] lr: 4.0525e-02 eta: 2 days, 16:03:06 time: 0.5329 data_time: 0.0360 memory: 18108 grad_norm: 3.6667 loss: 5.3380 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 3.0867 top1_acc_1: 0.5059 top5_acc_1: 0.6824 loss_cls_1: 2.2513 2023/01/31 12:05:25 - mmengine - INFO - Epoch(train) [12][1020/1879] lr: 4.0554e-02 eta: 2 days, 16:03:06 time: 0.5238 data_time: 0.0383 memory: 18108 grad_norm: 3.6215 loss: 5.3095 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.9886 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 2.3209 2023/01/31 12:05:36 - mmengine - INFO - Epoch(train) [12][1040/1879] lr: 4.0582e-02 eta: 2 days, 16:03:05 time: 0.5248 data_time: 0.0354 memory: 18108 grad_norm: 3.6665 loss: 5.2375 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.9798 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.2577 2023/01/31 12:05:46 - mmengine - INFO - Epoch(train) [12][1060/1879] lr: 4.0610e-02 eta: 2 days, 16:02:58 time: 0.5088 data_time: 0.0300 memory: 18108 grad_norm: 3.5562 loss: 5.2694 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.0206 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 2.2488 2023/01/31 12:05:57 - mmengine - INFO - Epoch(train) [12][1080/1879] lr: 4.0638e-02 eta: 2 days, 16:03:01 time: 0.5328 data_time: 0.0427 memory: 18108 grad_norm: 3.6037 loss: 5.2779 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.0843 top1_acc_1: 0.4941 top5_acc_1: 0.6471 loss_cls_1: 2.1936 2023/01/31 12:06:07 - mmengine - INFO - Epoch(train) [12][1100/1879] lr: 4.0666e-02 eta: 2 days, 16:02:55 time: 0.5115 data_time: 0.0310 memory: 18108 grad_norm: 3.6449 loss: 5.5212 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 3.3255 top1_acc_1: 0.6235 top5_acc_1: 0.7176 loss_cls_1: 2.1957 2023/01/31 12:06:17 - mmengine - INFO - Epoch(train) [12][1120/1879] lr: 4.0695e-02 eta: 2 days, 16:02:51 time: 0.5156 data_time: 0.0390 memory: 18108 grad_norm: 3.6728 loss: 5.3773 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.1634 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.2139 2023/01/31 12:06:28 - mmengine - INFO - Epoch(train) [12][1140/1879] lr: 4.0723e-02 eta: 2 days, 16:02:49 time: 0.5232 data_time: 0.0419 memory: 18108 grad_norm: 3.5918 loss: 5.1795 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8968 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 2.2827 2023/01/31 12:06:38 - mmengine - INFO - Epoch(train) [12][1160/1879] lr: 4.0751e-02 eta: 2 days, 16:02:48 time: 0.5220 data_time: 0.0371 memory: 18108 grad_norm: 3.5807 loss: 5.1407 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.8267 top1_acc_1: 0.4706 top5_acc_1: 0.6706 loss_cls_1: 2.3140 2023/01/31 12:06:48 - mmengine - INFO - Epoch(train) [12][1180/1879] lr: 4.0779e-02 eta: 2 days, 16:02:44 time: 0.5165 data_time: 0.0297 memory: 18108 grad_norm: 3.6339 loss: 5.0809 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 3.0038 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0771 2023/01/31 12:06:59 - mmengine - INFO - Epoch(train) [12][1200/1879] lr: 4.0807e-02 eta: 2 days, 16:02:48 time: 0.5368 data_time: 0.0430 memory: 18108 grad_norm: 3.6040 loss: 5.4201 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 3.1252 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 2.2949 2023/01/31 12:07:09 - mmengine - INFO - Epoch(train) [12][1220/1879] lr: 4.0835e-02 eta: 2 days, 16:02:40 time: 0.5060 data_time: 0.0317 memory: 18108 grad_norm: 3.5492 loss: 5.2059 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.9168 top1_acc_1: 0.6000 top5_acc_1: 0.7412 loss_cls_1: 2.2892 2023/01/31 12:07:20 - mmengine - INFO - Epoch(train) [12][1240/1879] lr: 4.0864e-02 eta: 2 days, 16:02:40 time: 0.5269 data_time: 0.0395 memory: 18108 grad_norm: 3.6285 loss: 5.1736 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.9251 top1_acc_1: 0.4471 top5_acc_1: 0.6941 loss_cls_1: 2.2485 2023/01/31 12:07:30 - mmengine - INFO - Epoch(train) [12][1260/1879] lr: 4.0892e-02 eta: 2 days, 16:02:37 time: 0.5191 data_time: 0.0299 memory: 18108 grad_norm: 3.5755 loss: 5.4234 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 3.1707 top1_acc_1: 0.4706 top5_acc_1: 0.8353 loss_cls_1: 2.2527 2023/01/31 12:07:41 - mmengine - INFO - Epoch(train) [12][1280/1879] lr: 4.0920e-02 eta: 2 days, 16:02:38 time: 0.5281 data_time: 0.0436 memory: 18108 grad_norm: 3.6863 loss: 5.4732 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.1900 top1_acc_1: 0.4588 top5_acc_1: 0.6824 loss_cls_1: 2.2831 2023/01/31 12:07:51 - mmengine - INFO - Epoch(train) [12][1300/1879] lr: 4.0948e-02 eta: 2 days, 16:02:34 time: 0.5155 data_time: 0.0303 memory: 18108 grad_norm: 3.6632 loss: 5.2844 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.0129 top1_acc_1: 0.4000 top5_acc_1: 0.6588 loss_cls_1: 2.2715 2023/01/31 12:08:02 - mmengine - INFO - Epoch(train) [12][1320/1879] lr: 4.0976e-02 eta: 2 days, 16:02:38 time: 0.5381 data_time: 0.0360 memory: 18108 grad_norm: 3.5955 loss: 5.0762 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9172 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 2.1589 2023/01/31 12:08:08 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 12:08:12 - mmengine - INFO - Epoch(train) [12][1340/1879] lr: 4.1004e-02 eta: 2 days, 16:02:37 time: 0.5226 data_time: 0.0313 memory: 18108 grad_norm: 3.6386 loss: 5.3408 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0107 top1_acc_1: 0.4706 top5_acc_1: 0.7059 loss_cls_1: 2.3301 2023/01/31 12:08:23 - mmengine - INFO - Epoch(train) [12][1360/1879] lr: 4.1033e-02 eta: 2 days, 16:02:37 time: 0.5259 data_time: 0.0356 memory: 18108 grad_norm: 3.6532 loss: 5.3448 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9916 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 2.3533 2023/01/31 12:08:33 - mmengine - INFO - Epoch(train) [12][1380/1879] lr: 4.1061e-02 eta: 2 days, 16:02:32 time: 0.5153 data_time: 0.0302 memory: 18108 grad_norm: 3.6499 loss: 5.1358 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8814 top1_acc_1: 0.3882 top5_acc_1: 0.6706 loss_cls_1: 2.2543 2023/01/31 12:08:44 - mmengine - INFO - Epoch(train) [12][1400/1879] lr: 4.1089e-02 eta: 2 days, 16:02:31 time: 0.5251 data_time: 0.0352 memory: 18108 grad_norm: 3.5980 loss: 5.2636 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 3.0213 top1_acc_1: 0.4235 top5_acc_1: 0.7647 loss_cls_1: 2.2422 2023/01/31 12:08:54 - mmengine - INFO - Epoch(train) [12][1420/1879] lr: 4.1117e-02 eta: 2 days, 16:02:28 time: 0.5170 data_time: 0.0318 memory: 18108 grad_norm: 3.6052 loss: 5.2111 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9742 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.2369 2023/01/31 12:09:05 - mmengine - INFO - Epoch(train) [12][1440/1879] lr: 4.1145e-02 eta: 2 days, 16:02:31 time: 0.5341 data_time: 0.0397 memory: 18108 grad_norm: 3.6420 loss: 5.4595 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.2074 top1_acc_1: 0.5412 top5_acc_1: 0.6941 loss_cls_1: 2.2522 2023/01/31 12:09:15 - mmengine - INFO - Epoch(train) [12][1460/1879] lr: 4.1174e-02 eta: 2 days, 16:02:33 time: 0.5322 data_time: 0.0317 memory: 18108 grad_norm: 3.6517 loss: 4.9893 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7834 top1_acc_1: 0.4824 top5_acc_1: 0.6941 loss_cls_1: 2.2059 2023/01/31 12:09:26 - mmengine - INFO - Epoch(train) [12][1480/1879] lr: 4.1202e-02 eta: 2 days, 16:02:35 time: 0.5312 data_time: 0.0428 memory: 18108 grad_norm: 3.6173 loss: 5.1280 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7663 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.3617 2023/01/31 12:09:36 - mmengine - INFO - Epoch(train) [12][1500/1879] lr: 4.1230e-02 eta: 2 days, 16:02:29 time: 0.5134 data_time: 0.0303 memory: 18108 grad_norm: 3.5853 loss: 5.2763 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.0319 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.2444 2023/01/31 12:09:47 - mmengine - INFO - Epoch(train) [12][1520/1879] lr: 4.1258e-02 eta: 2 days, 16:02:37 time: 0.5445 data_time: 0.0364 memory: 18108 grad_norm: 3.6101 loss: 5.2410 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.9200 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.3210 2023/01/31 12:09:58 - mmengine - INFO - Epoch(train) [12][1540/1879] lr: 4.1286e-02 eta: 2 days, 16:02:37 time: 0.5267 data_time: 0.0366 memory: 18108 grad_norm: 3.6418 loss: 5.4948 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.2141 top1_acc_1: 0.3529 top5_acc_1: 0.6471 loss_cls_1: 2.2807 2023/01/31 12:10:08 - mmengine - INFO - Epoch(train) [12][1560/1879] lr: 4.1314e-02 eta: 2 days, 16:02:36 time: 0.5263 data_time: 0.0372 memory: 18108 grad_norm: 3.5800 loss: 5.0821 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.9457 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.1364 2023/01/31 12:10:19 - mmengine - INFO - Epoch(train) [12][1580/1879] lr: 4.1343e-02 eta: 2 days, 16:02:34 time: 0.5219 data_time: 0.0297 memory: 18108 grad_norm: 3.5967 loss: 5.3038 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.0396 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 2.2641 2023/01/31 12:10:30 - mmengine - INFO - Epoch(train) [12][1600/1879] lr: 4.1371e-02 eta: 2 days, 16:02:45 time: 0.5533 data_time: 0.0447 memory: 18108 grad_norm: 3.6078 loss: 5.3380 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 3.0347 top1_acc_1: 0.5059 top5_acc_1: 0.6941 loss_cls_1: 2.3033 2023/01/31 12:10:40 - mmengine - INFO - Epoch(train) [12][1620/1879] lr: 4.1399e-02 eta: 2 days, 16:02:40 time: 0.5145 data_time: 0.0322 memory: 18108 grad_norm: 3.5582 loss: 5.0701 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.8405 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.2296 2023/01/31 12:10:50 - mmengine - INFO - Epoch(train) [12][1640/1879] lr: 4.1427e-02 eta: 2 days, 16:02:36 time: 0.5172 data_time: 0.0371 memory: 18108 grad_norm: 3.5879 loss: 5.1816 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.9510 top1_acc_1: 0.4118 top5_acc_1: 0.6588 loss_cls_1: 2.2306 2023/01/31 12:11:01 - mmengine - INFO - Epoch(train) [12][1660/1879] lr: 4.1455e-02 eta: 2 days, 16:02:36 time: 0.5282 data_time: 0.0388 memory: 18108 grad_norm: 3.5359 loss: 5.0154 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.7097 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 2.3057 2023/01/31 12:11:11 - mmengine - INFO - Epoch(train) [12][1680/1879] lr: 4.1483e-02 eta: 2 days, 16:02:32 time: 0.5171 data_time: 0.0398 memory: 18108 grad_norm: 3.6129 loss: 5.2199 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.9837 top1_acc_1: 0.4824 top5_acc_1: 0.8353 loss_cls_1: 2.2362 2023/01/31 12:11:21 - mmengine - INFO - Epoch(train) [12][1700/1879] lr: 4.1512e-02 eta: 2 days, 16:02:21 time: 0.4990 data_time: 0.0309 memory: 18108 grad_norm: 3.6340 loss: 5.4220 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.2081 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 2.2140 2023/01/31 12:11:32 - mmengine - INFO - Epoch(train) [12][1720/1879] lr: 4.1540e-02 eta: 2 days, 16:02:27 time: 0.5421 data_time: 0.0363 memory: 18108 grad_norm: 3.5887 loss: 5.4704 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.1327 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 2.3377 2023/01/31 12:11:42 - mmengine - INFO - Epoch(train) [12][1740/1879] lr: 4.1568e-02 eta: 2 days, 16:02:20 time: 0.5114 data_time: 0.0308 memory: 18108 grad_norm: 3.6173 loss: 5.3588 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 3.0979 top1_acc_1: 0.4471 top5_acc_1: 0.7059 loss_cls_1: 2.2609 2023/01/31 12:11:52 - mmengine - INFO - Epoch(train) [12][1760/1879] lr: 4.1596e-02 eta: 2 days, 16:02:13 time: 0.5090 data_time: 0.0376 memory: 18108 grad_norm: 3.5818 loss: 5.4162 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 3.1749 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 2.2413 2023/01/31 12:12:03 - mmengine - INFO - Epoch(train) [12][1780/1879] lr: 4.1624e-02 eta: 2 days, 16:02:06 time: 0.5092 data_time: 0.0314 memory: 18108 grad_norm: 3.6240 loss: 5.2565 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 3.0769 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 2.1796 2023/01/31 12:12:13 - mmengine - INFO - Epoch(train) [12][1800/1879] lr: 4.1653e-02 eta: 2 days, 16:02:06 time: 0.5285 data_time: 0.0458 memory: 18108 grad_norm: 3.6067 loss: 5.3882 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 3.1829 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 2.2053 2023/01/31 12:12:23 - mmengine - INFO - Epoch(train) [12][1820/1879] lr: 4.1681e-02 eta: 2 days, 16:02:00 time: 0.5134 data_time: 0.0298 memory: 18108 grad_norm: 3.6009 loss: 5.1668 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.9900 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.1768 2023/01/31 12:12:34 - mmengine - INFO - Epoch(train) [12][1840/1879] lr: 4.1709e-02 eta: 2 days, 16:01:59 time: 0.5241 data_time: 0.0379 memory: 18108 grad_norm: 3.5923 loss: 5.3951 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 3.1858 top1_acc_1: 0.4706 top5_acc_1: 0.6706 loss_cls_1: 2.2093 2023/01/31 12:12:44 - mmengine - INFO - Epoch(train) [12][1860/1879] lr: 4.1737e-02 eta: 2 days, 16:01:56 time: 0.5208 data_time: 0.0298 memory: 18108 grad_norm: 3.6238 loss: 5.3160 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.0505 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.2655 2023/01/31 12:12:54 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 12:12:54 - mmengine - INFO - Epoch(train) [12][1879/1879] lr: 4.1764e-02 eta: 2 days, 16:01:46 time: 0.5041 data_time: 0.0346 memory: 18108 grad_norm: 3.6182 loss: 5.2777 top1_acc_0: 0.1429 top5_acc_0: 0.4286 loss_cls_0: 2.9790 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.2986 2023/01/31 12:12:55 - mmengine - INFO - Saving checkpoint at 12 epochs 2023/01/31 12:13:05 - mmengine - INFO - Epoch(val) [12][ 20/155] eta: 0:01:01 time: 0.4574 data_time: 0.3443 memory: 1906 2023/01/31 12:13:14 - mmengine - INFO - Epoch(val) [12][ 40/155] eta: 0:00:51 time: 0.4420 data_time: 0.3304 memory: 1906 2023/01/31 12:13:22 - mmengine - INFO - Epoch(val) [12][ 60/155] eta: 0:00:41 time: 0.4226 data_time: 0.3097 memory: 1906 2023/01/31 12:13:31 - mmengine - INFO - Epoch(val) [12][ 80/155] eta: 0:00:33 time: 0.4574 data_time: 0.3459 memory: 1906 2023/01/31 12:13:40 - mmengine - INFO - Epoch(val) [12][100/155] eta: 0:00:24 time: 0.4494 data_time: 0.3379 memory: 1906 2023/01/31 12:13:49 - mmengine - INFO - Epoch(val) [12][120/155] eta: 0:00:15 time: 0.4602 data_time: 0.3494 memory: 1906 2023/01/31 12:13:58 - mmengine - INFO - Epoch(val) [12][140/155] eta: 0:00:06 time: 0.4393 data_time: 0.3289 memory: 1906 2023/01/31 12:14:06 - mmengine - INFO - Epoch(val) [12][155/155] acc/top1: 0.3766 acc/top5: 0.6409 acc/mean1: 0.3764 2023/01/31 12:14:06 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_8.pth is removed 2023/01/31 12:14:07 - mmengine - INFO - The best checkpoint with 0.3766 acc/top1 at 12 epoch is saved to best_acc/top1_epoch_12.pth. 2023/01/31 12:14:21 - mmengine - INFO - Epoch(train) [13][ 20/1879] lr: 4.1792e-02 eta: 2 days, 16:02:48 time: 0.6809 data_time: 0.2330 memory: 18108 grad_norm: 3.5764 loss: 5.1052 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.9738 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.1315 2023/01/31 12:14:30 - mmengine - INFO - Epoch(train) [13][ 40/1879] lr: 4.1820e-02 eta: 2 days, 16:02:25 time: 0.4694 data_time: 0.0335 memory: 18108 grad_norm: 3.5520 loss: 4.9742 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 2.9551 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 2.0191 2023/01/31 12:14:40 - mmengine - INFO - Epoch(train) [13][ 60/1879] lr: 4.1848e-02 eta: 2 days, 16:02:08 time: 0.4862 data_time: 0.0361 memory: 18108 grad_norm: 3.5632 loss: 5.2042 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 3.0379 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 2.1663 2023/01/31 12:14:50 - mmengine - INFO - Epoch(train) [13][ 80/1879] lr: 4.1876e-02 eta: 2 days, 16:01:59 time: 0.5058 data_time: 0.0481 memory: 18108 grad_norm: 3.5900 loss: 5.0639 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8635 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.2005 2023/01/31 12:15:00 - mmengine - INFO - Epoch(train) [13][ 100/1879] lr: 4.1905e-02 eta: 2 days, 16:01:42 time: 0.4870 data_time: 0.0358 memory: 18108 grad_norm: 3.5416 loss: 4.9938 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.8737 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.1201 2023/01/31 12:15:09 - mmengine - INFO - Epoch(train) [13][ 120/1879] lr: 4.1933e-02 eta: 2 days, 16:01:17 time: 0.4644 data_time: 0.0326 memory: 18108 grad_norm: 3.5286 loss: 5.0989 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8275 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.2714 2023/01/31 12:15:20 - mmengine - INFO - Epoch(train) [13][ 140/1879] lr: 4.1961e-02 eta: 2 days, 16:01:09 time: 0.5085 data_time: 0.0462 memory: 18108 grad_norm: 3.5969 loss: 5.1792 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9766 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 2.2025 2023/01/31 12:15:29 - mmengine - INFO - Epoch(train) [13][ 160/1879] lr: 4.1989e-02 eta: 2 days, 16:00:46 time: 0.4702 data_time: 0.0317 memory: 18108 grad_norm: 3.6696 loss: 5.0772 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8848 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 2.1924 2023/01/31 12:15:39 - mmengine - INFO - Epoch(train) [13][ 180/1879] lr: 4.2017e-02 eta: 2 days, 16:00:26 time: 0.4795 data_time: 0.0385 memory: 18108 grad_norm: 3.6244 loss: 5.1832 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.9219 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 2.2613 2023/01/31 12:15:48 - mmengine - INFO - Epoch(train) [13][ 200/1879] lr: 4.2046e-02 eta: 2 days, 16:00:04 time: 0.4735 data_time: 0.0398 memory: 18108 grad_norm: 3.6301 loss: 5.2195 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9888 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.2308 2023/01/31 12:15:58 - mmengine - INFO - Epoch(train) [13][ 220/1879] lr: 4.2074e-02 eta: 2 days, 15:59:56 time: 0.5074 data_time: 0.0367 memory: 18108 grad_norm: 3.5976 loss: 4.9932 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7642 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.2289 2023/01/31 12:16:08 - mmengine - INFO - Epoch(train) [13][ 240/1879] lr: 4.2102e-02 eta: 2 days, 15:59:38 time: 0.4818 data_time: 0.0320 memory: 18108 grad_norm: 3.6685 loss: 5.2298 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9743 top1_acc_1: 0.3765 top5_acc_1: 0.7294 loss_cls_1: 2.2555 2023/01/31 12:16:18 - mmengine - INFO - Epoch(train) [13][ 260/1879] lr: 4.2130e-02 eta: 2 days, 15:59:24 time: 0.4926 data_time: 0.0364 memory: 18108 grad_norm: 3.5979 loss: 5.0937 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9354 top1_acc_1: 0.4706 top5_acc_1: 0.7059 loss_cls_1: 2.1583 2023/01/31 12:16:28 - mmengine - INFO - Epoch(train) [13][ 280/1879] lr: 4.2158e-02 eta: 2 days, 15:59:14 time: 0.5045 data_time: 0.0387 memory: 18108 grad_norm: 3.6390 loss: 5.1415 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 3.0472 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 2.0943 2023/01/31 12:16:38 - mmengine - INFO - Epoch(train) [13][ 300/1879] lr: 4.2186e-02 eta: 2 days, 15:59:05 time: 0.5042 data_time: 0.0343 memory: 18108 grad_norm: 3.5903 loss: 5.3807 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.1227 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 2.2580 2023/01/31 12:16:47 - mmengine - INFO - Epoch(train) [13][ 320/1879] lr: 4.2215e-02 eta: 2 days, 15:58:46 time: 0.4819 data_time: 0.0356 memory: 18108 grad_norm: 3.5903 loss: 5.1795 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9417 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.2378 2023/01/31 12:16:58 - mmengine - INFO - Epoch(train) [13][ 340/1879] lr: 4.2243e-02 eta: 2 days, 15:58:37 time: 0.5038 data_time: 0.0452 memory: 18108 grad_norm: 3.6049 loss: 5.3893 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.1336 top1_acc_1: 0.4353 top5_acc_1: 0.6588 loss_cls_1: 2.2557 2023/01/31 12:17:07 - mmengine - INFO - Epoch(train) [13][ 360/1879] lr: 4.2271e-02 eta: 2 days, 15:58:23 time: 0.4945 data_time: 0.0308 memory: 18108 grad_norm: 3.6654 loss: 5.3859 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.1838 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.2021 2023/01/31 12:17:17 - mmengine - INFO - Epoch(train) [13][ 380/1879] lr: 4.2299e-02 eta: 2 days, 15:58:10 time: 0.4948 data_time: 0.0389 memory: 18108 grad_norm: 3.6252 loss: 5.4123 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.2562 top1_acc_1: 0.4353 top5_acc_1: 0.7294 loss_cls_1: 2.1561 2023/01/31 12:17:27 - mmengine - INFO - Epoch(train) [13][ 400/1879] lr: 4.2327e-02 eta: 2 days, 15:57:54 time: 0.4881 data_time: 0.0314 memory: 18108 grad_norm: 3.5577 loss: 5.2200 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.0522 top1_acc_1: 0.4471 top5_acc_1: 0.7059 loss_cls_1: 2.1677 2023/01/31 12:17:37 - mmengine - INFO - Epoch(train) [13][ 420/1879] lr: 4.2355e-02 eta: 2 days, 15:57:43 time: 0.5005 data_time: 0.0341 memory: 18108 grad_norm: 3.5929 loss: 5.0569 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.9100 top1_acc_1: 0.4706 top5_acc_1: 0.6941 loss_cls_1: 2.1469 2023/01/31 12:17:47 - mmengine - INFO - Epoch(train) [13][ 440/1879] lr: 4.2384e-02 eta: 2 days, 15:57:29 time: 0.4925 data_time: 0.0309 memory: 18108 grad_norm: 3.6226 loss: 5.1917 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.0292 top1_acc_1: 0.4353 top5_acc_1: 0.6824 loss_cls_1: 2.1626 2023/01/31 12:17:53 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 12:17:57 - mmengine - INFO - Epoch(train) [13][ 460/1879] lr: 4.2412e-02 eta: 2 days, 15:57:14 time: 0.4895 data_time: 0.0338 memory: 18108 grad_norm: 3.6090 loss: 5.1284 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9033 top1_acc_1: 0.5059 top5_acc_1: 0.6941 loss_cls_1: 2.2251 2023/01/31 12:18:07 - mmengine - INFO - Epoch(train) [13][ 480/1879] lr: 4.2440e-02 eta: 2 days, 15:57:06 time: 0.5088 data_time: 0.0410 memory: 18108 grad_norm: 3.5917 loss: 5.1445 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.0451 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.0993 2023/01/31 12:18:17 - mmengine - INFO - Epoch(train) [13][ 500/1879] lr: 4.2468e-02 eta: 2 days, 15:56:58 time: 0.5079 data_time: 0.0383 memory: 18108 grad_norm: 3.5922 loss: 5.1155 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8428 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.2727 2023/01/31 12:18:27 - mmengine - INFO - Epoch(train) [13][ 520/1879] lr: 4.2496e-02 eta: 2 days, 15:56:47 time: 0.4991 data_time: 0.0338 memory: 18108 grad_norm: 3.6074 loss: 5.1382 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9660 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 2.1722 2023/01/31 12:18:37 - mmengine - INFO - Epoch(train) [13][ 540/1879] lr: 4.2525e-02 eta: 2 days, 15:56:41 time: 0.5128 data_time: 0.0413 memory: 18108 grad_norm: 3.6099 loss: 5.1549 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9266 top1_acc_1: 0.6235 top5_acc_1: 0.7529 loss_cls_1: 2.2283 2023/01/31 12:18:47 - mmengine - INFO - Epoch(train) [13][ 560/1879] lr: 4.2553e-02 eta: 2 days, 15:56:28 time: 0.4945 data_time: 0.0328 memory: 18108 grad_norm: 3.6005 loss: 5.4552 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.2580 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 2.1971 2023/01/31 12:18:57 - mmengine - INFO - Epoch(train) [13][ 580/1879] lr: 4.2581e-02 eta: 2 days, 15:56:21 time: 0.5108 data_time: 0.0353 memory: 18108 grad_norm: 3.6179 loss: 5.0152 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.9083 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.1069 2023/01/31 12:19:07 - mmengine - INFO - Epoch(train) [13][ 600/1879] lr: 4.2609e-02 eta: 2 days, 15:56:09 time: 0.4992 data_time: 0.0321 memory: 18108 grad_norm: 3.5491 loss: 5.1449 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9009 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.2440 2023/01/31 12:19:18 - mmengine - INFO - Epoch(train) [13][ 620/1879] lr: 4.2637e-02 eta: 2 days, 15:56:02 time: 0.5097 data_time: 0.0344 memory: 18108 grad_norm: 3.5893 loss: 5.2265 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 3.0221 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.2044 2023/01/31 12:19:28 - mmengine - INFO - Epoch(train) [13][ 640/1879] lr: 4.2665e-02 eta: 2 days, 15:55:52 time: 0.5041 data_time: 0.0324 memory: 18108 grad_norm: 3.5385 loss: 5.0729 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8064 top1_acc_1: 0.4235 top5_acc_1: 0.7059 loss_cls_1: 2.2665 2023/01/31 12:19:38 - mmengine - INFO - Epoch(train) [13][ 660/1879] lr: 4.2694e-02 eta: 2 days, 15:55:42 time: 0.5021 data_time: 0.0349 memory: 18108 grad_norm: 3.5684 loss: 5.1023 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9243 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.1781 2023/01/31 12:19:48 - mmengine - INFO - Epoch(train) [13][ 680/1879] lr: 4.2722e-02 eta: 2 days, 15:55:36 time: 0.5117 data_time: 0.0384 memory: 18108 grad_norm: 3.6171 loss: 5.2932 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.1115 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.1817 2023/01/31 12:19:58 - mmengine - INFO - Epoch(train) [13][ 700/1879] lr: 4.2750e-02 eta: 2 days, 15:55:24 time: 0.4985 data_time: 0.0339 memory: 18108 grad_norm: 3.5901 loss: 5.3246 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.0890 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.2356 2023/01/31 12:20:08 - mmengine - INFO - Epoch(train) [13][ 720/1879] lr: 4.2778e-02 eta: 2 days, 15:55:15 time: 0.5065 data_time: 0.0340 memory: 18108 grad_norm: 3.5785 loss: 5.1250 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8067 top1_acc_1: 0.5529 top5_acc_1: 0.7059 loss_cls_1: 2.3183 2023/01/31 12:20:18 - mmengine - INFO - Epoch(train) [13][ 740/1879] lr: 4.2806e-02 eta: 2 days, 15:55:10 time: 0.5144 data_time: 0.0416 memory: 18108 grad_norm: 3.5724 loss: 5.1507 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9014 top1_acc_1: 0.3882 top5_acc_1: 0.6941 loss_cls_1: 2.2493 2023/01/31 12:20:28 - mmengine - INFO - Epoch(train) [13][ 760/1879] lr: 4.2834e-02 eta: 2 days, 15:54:56 time: 0.4922 data_time: 0.0332 memory: 18108 grad_norm: 3.5540 loss: 5.0619 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8118 top1_acc_1: 0.5529 top5_acc_1: 0.6941 loss_cls_1: 2.2500 2023/01/31 12:20:39 - mmengine - INFO - Epoch(train) [13][ 780/1879] lr: 4.2863e-02 eta: 2 days, 15:54:51 time: 0.5154 data_time: 0.0374 memory: 18108 grad_norm: 3.5730 loss: 5.2712 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0480 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.2232 2023/01/31 12:20:49 - mmengine - INFO - Epoch(train) [13][ 800/1879] lr: 4.2891e-02 eta: 2 days, 15:54:40 time: 0.5010 data_time: 0.0321 memory: 18108 grad_norm: 3.6483 loss: 5.1994 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9390 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.2605 2023/01/31 12:20:59 - mmengine - INFO - Epoch(train) [13][ 820/1879] lr: 4.2919e-02 eta: 2 days, 15:54:33 time: 0.5108 data_time: 0.0433 memory: 18108 grad_norm: 3.5711 loss: 5.4013 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.1267 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 2.2746 2023/01/31 12:21:09 - mmengine - INFO - Epoch(train) [13][ 840/1879] lr: 4.2947e-02 eta: 2 days, 15:54:24 time: 0.5059 data_time: 0.0327 memory: 18108 grad_norm: 3.5719 loss: 5.0823 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8966 top1_acc_1: 0.5647 top5_acc_1: 0.7176 loss_cls_1: 2.1857 2023/01/31 12:21:19 - mmengine - INFO - Epoch(train) [13][ 860/1879] lr: 4.2975e-02 eta: 2 days, 15:54:19 time: 0.5157 data_time: 0.0342 memory: 18108 grad_norm: 3.5973 loss: 5.1907 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 3.0367 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 2.1540 2023/01/31 12:21:29 - mmengine - INFO - Epoch(train) [13][ 880/1879] lr: 4.3004e-02 eta: 2 days, 15:54:08 time: 0.5002 data_time: 0.0327 memory: 18108 grad_norm: 3.6197 loss: 5.3312 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 3.0671 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 2.2641 2023/01/31 12:21:39 - mmengine - INFO - Epoch(train) [13][ 900/1879] lr: 4.3032e-02 eta: 2 days, 15:53:59 time: 0.5040 data_time: 0.0341 memory: 18108 grad_norm: 3.5960 loss: 5.2717 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.1070 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 2.1647 2023/01/31 12:21:49 - mmengine - INFO - Epoch(train) [13][ 920/1879] lr: 4.3060e-02 eta: 2 days, 15:53:51 time: 0.5081 data_time: 0.0319 memory: 18108 grad_norm: 3.6267 loss: 5.0043 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.8651 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 2.1391 2023/01/31 12:22:00 - mmengine - INFO - Epoch(train) [13][ 940/1879] lr: 4.3088e-02 eta: 2 days, 15:53:45 time: 0.5140 data_time: 0.0396 memory: 18108 grad_norm: 3.5458 loss: 4.9704 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8457 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 2.1247 2023/01/31 12:22:10 - mmengine - INFO - Epoch(train) [13][ 960/1879] lr: 4.3116e-02 eta: 2 days, 15:53:33 time: 0.4973 data_time: 0.0340 memory: 18108 grad_norm: 3.5966 loss: 5.2085 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.9752 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 2.2332 2023/01/31 12:22:20 - mmengine - INFO - Epoch(train) [13][ 980/1879] lr: 4.3144e-02 eta: 2 days, 15:53:27 time: 0.5143 data_time: 0.0338 memory: 18108 grad_norm: 3.5607 loss: 5.1737 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8955 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.2782 2023/01/31 12:22:30 - mmengine - INFO - Epoch(train) [13][1000/1879] lr: 4.3173e-02 eta: 2 days, 15:53:14 time: 0.4947 data_time: 0.0322 memory: 18108 grad_norm: 3.6114 loss: 5.3173 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 3.0930 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 2.2243 2023/01/31 12:22:40 - mmengine - INFO - Epoch(train) [13][1020/1879] lr: 4.3201e-02 eta: 2 days, 15:53:06 time: 0.5079 data_time: 0.0397 memory: 18108 grad_norm: 3.6362 loss: 5.2685 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.0177 top1_acc_1: 0.3765 top5_acc_1: 0.5882 loss_cls_1: 2.2508 2023/01/31 12:22:50 - mmengine - INFO - Epoch(train) [13][1040/1879] lr: 4.3229e-02 eta: 2 days, 15:52:54 time: 0.4978 data_time: 0.0325 memory: 18108 grad_norm: 3.5931 loss: 5.0429 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7995 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.2434 2023/01/31 12:23:00 - mmengine - INFO - Epoch(train) [13][1060/1879] lr: 4.3257e-02 eta: 2 days, 15:52:45 time: 0.5063 data_time: 0.0331 memory: 18108 grad_norm: 3.6392 loss: 5.0996 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8769 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 2.2226 2023/01/31 12:23:10 - mmengine - INFO - Epoch(train) [13][1080/1879] lr: 4.3285e-02 eta: 2 days, 15:52:31 time: 0.4920 data_time: 0.0421 memory: 18108 grad_norm: 3.5990 loss: 5.1312 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9446 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.1866 2023/01/31 12:23:20 - mmengine - INFO - Epoch(train) [13][1100/1879] lr: 4.3313e-02 eta: 2 days, 15:52:19 time: 0.4978 data_time: 0.0350 memory: 18108 grad_norm: 3.5694 loss: 5.2261 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 3.0253 top1_acc_1: 0.4353 top5_acc_1: 0.6824 loss_cls_1: 2.2008 2023/01/31 12:23:30 - mmengine - INFO - Epoch(train) [13][1120/1879] lr: 4.3342e-02 eta: 2 days, 15:52:13 time: 0.5125 data_time: 0.0310 memory: 18108 grad_norm: 3.5623 loss: 5.1106 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9518 top1_acc_1: 0.4471 top5_acc_1: 0.6706 loss_cls_1: 2.1588 2023/01/31 12:23:40 - mmengine - INFO - Epoch(train) [13][1140/1879] lr: 4.3370e-02 eta: 2 days, 15:52:04 time: 0.5062 data_time: 0.0466 memory: 18108 grad_norm: 3.5484 loss: 5.1954 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.9121 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 2.2832 2023/01/31 12:23:50 - mmengine - INFO - Epoch(train) [13][1160/1879] lr: 4.3398e-02 eta: 2 days, 15:51:52 time: 0.4970 data_time: 0.0335 memory: 18108 grad_norm: 3.5458 loss: 5.2102 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 3.0297 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.1805 2023/01/31 12:24:01 - mmengine - INFO - Epoch(train) [13][1180/1879] lr: 4.3426e-02 eta: 2 days, 15:51:49 time: 0.5223 data_time: 0.0350 memory: 18108 grad_norm: 3.5273 loss: 5.2591 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.0356 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.2236 2023/01/31 12:24:10 - mmengine - INFO - Epoch(train) [13][1200/1879] lr: 4.3454e-02 eta: 2 days, 15:51:35 time: 0.4904 data_time: 0.0320 memory: 18108 grad_norm: 3.5273 loss: 5.2132 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9474 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 2.2658 2023/01/31 12:24:20 - mmengine - INFO - Epoch(train) [13][1220/1879] lr: 4.3483e-02 eta: 2 days, 15:51:24 time: 0.5003 data_time: 0.0340 memory: 18108 grad_norm: 3.5420 loss: 5.0490 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.8164 top1_acc_1: 0.4588 top5_acc_1: 0.7412 loss_cls_1: 2.2326 2023/01/31 12:24:31 - mmengine - INFO - Epoch(train) [13][1240/1879] lr: 4.3511e-02 eta: 2 days, 15:51:14 time: 0.5038 data_time: 0.0323 memory: 18108 grad_norm: 3.5919 loss: 5.1406 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9257 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.2149 2023/01/31 12:24:41 - mmengine - INFO - Epoch(train) [13][1260/1879] lr: 4.3539e-02 eta: 2 days, 15:51:04 time: 0.5021 data_time: 0.0327 memory: 18108 grad_norm: 3.6245 loss: 5.3141 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.9822 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 2.3318 2023/01/31 12:24:50 - mmengine - INFO - Epoch(train) [13][1280/1879] lr: 4.3567e-02 eta: 2 days, 15:50:50 time: 0.4936 data_time: 0.0393 memory: 18108 grad_norm: 3.5340 loss: 4.9821 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8362 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.1459 2023/01/31 12:25:01 - mmengine - INFO - Epoch(train) [13][1300/1879] lr: 4.3595e-02 eta: 2 days, 15:50:41 time: 0.5053 data_time: 0.0331 memory: 18108 grad_norm: 3.5571 loss: 5.3300 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.1513 top1_acc_1: 0.5059 top5_acc_1: 0.6941 loss_cls_1: 2.1787 2023/01/31 12:25:10 - mmengine - INFO - Epoch(train) [13][1320/1879] lr: 4.3623e-02 eta: 2 days, 15:50:28 time: 0.4949 data_time: 0.0325 memory: 18108 grad_norm: 3.5758 loss: 5.3364 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.1144 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.2221 2023/01/31 12:25:21 - mmengine - INFO - Epoch(train) [13][1340/1879] lr: 4.3652e-02 eta: 2 days, 15:50:20 time: 0.5093 data_time: 0.0399 memory: 18108 grad_norm: 3.5739 loss: 5.3603 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 3.1286 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 2.2317 2023/01/31 12:25:31 - mmengine - INFO - Epoch(train) [13][1360/1879] lr: 4.3680e-02 eta: 2 days, 15:50:08 time: 0.4957 data_time: 0.0362 memory: 18108 grad_norm: 3.5231 loss: 5.0792 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 2.8584 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.2208 2023/01/31 12:25:41 - mmengine - INFO - Epoch(train) [13][1380/1879] lr: 4.3708e-02 eta: 2 days, 15:49:59 time: 0.5051 data_time: 0.0336 memory: 18108 grad_norm: 3.5934 loss: 5.0810 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9659 top1_acc_1: 0.4235 top5_acc_1: 0.7647 loss_cls_1: 2.1151 2023/01/31 12:25:51 - mmengine - INFO - Epoch(train) [13][1400/1879] lr: 4.3736e-02 eta: 2 days, 15:49:47 time: 0.4999 data_time: 0.0328 memory: 18108 grad_norm: 3.5505 loss: 5.0601 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.9367 top1_acc_1: 0.5294 top5_acc_1: 0.6824 loss_cls_1: 2.1234 2023/01/31 12:26:01 - mmengine - INFO - Epoch(train) [13][1420/1879] lr: 4.3764e-02 eta: 2 days, 15:49:37 time: 0.5007 data_time: 0.0418 memory: 18108 grad_norm: 3.5904 loss: 5.0551 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.9692 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 2.0858 2023/01/31 12:26:11 - mmengine - INFO - Epoch(train) [13][1440/1879] lr: 4.3792e-02 eta: 2 days, 15:49:25 time: 0.4988 data_time: 0.0329 memory: 18108 grad_norm: 3.5249 loss: 5.5361 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 3.3116 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.2245 2023/01/31 12:26:17 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 12:26:21 - mmengine - INFO - Epoch(train) [13][1460/1879] lr: 4.3821e-02 eta: 2 days, 15:49:17 time: 0.5082 data_time: 0.0343 memory: 18108 grad_norm: 3.5146 loss: 5.1927 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.0030 top1_acc_1: 0.4588 top5_acc_1: 0.7294 loss_cls_1: 2.1897 2023/01/31 12:26:31 - mmengine - INFO - Epoch(train) [13][1480/1879] lr: 4.3849e-02 eta: 2 days, 15:49:03 time: 0.4927 data_time: 0.0391 memory: 18108 grad_norm: 3.6148 loss: 5.3755 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.1782 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.1973 2023/01/31 12:26:41 - mmengine - INFO - Epoch(train) [13][1500/1879] lr: 4.3877e-02 eta: 2 days, 15:48:52 time: 0.5000 data_time: 0.0333 memory: 18108 grad_norm: 3.5838 loss: 5.1436 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.9574 top1_acc_1: 0.4118 top5_acc_1: 0.6941 loss_cls_1: 2.1862 2023/01/31 12:26:50 - mmengine - INFO - Epoch(train) [13][1520/1879] lr: 4.3905e-02 eta: 2 days, 15:48:37 time: 0.4891 data_time: 0.0341 memory: 18108 grad_norm: 3.5622 loss: 5.2497 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.1039 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 2.1458 2023/01/31 12:27:01 - mmengine - INFO - Epoch(train) [13][1540/1879] lr: 4.3933e-02 eta: 2 days, 15:48:28 time: 0.5048 data_time: 0.0332 memory: 18108 grad_norm: 3.5075 loss: 5.3048 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.1275 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.1773 2023/01/31 12:27:11 - mmengine - INFO - Epoch(train) [13][1560/1879] lr: 4.3961e-02 eta: 2 days, 15:48:18 time: 0.5029 data_time: 0.0427 memory: 18108 grad_norm: 3.5545 loss: 5.2457 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 3.0314 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.2142 2023/01/31 12:27:21 - mmengine - INFO - Epoch(train) [13][1580/1879] lr: 4.3990e-02 eta: 2 days, 15:48:10 time: 0.5092 data_time: 0.0338 memory: 18108 grad_norm: 3.5180 loss: 5.1081 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8349 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.2732 2023/01/31 12:27:31 - mmengine - INFO - Epoch(train) [13][1600/1879] lr: 4.4018e-02 eta: 2 days, 15:47:58 time: 0.4973 data_time: 0.0340 memory: 18108 grad_norm: 3.5621 loss: 5.1762 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.9983 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.1779 2023/01/31 12:27:41 - mmengine - INFO - Epoch(train) [13][1620/1879] lr: 4.4046e-02 eta: 2 days, 15:47:47 time: 0.5015 data_time: 0.0427 memory: 18108 grad_norm: 3.5555 loss: 5.5060 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 3.2088 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.2972 2023/01/31 12:27:51 - mmengine - INFO - Epoch(train) [13][1640/1879] lr: 4.4074e-02 eta: 2 days, 15:47:38 time: 0.5053 data_time: 0.0320 memory: 18108 grad_norm: 3.5803 loss: 5.1287 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8692 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.2596 2023/01/31 12:28:01 - mmengine - INFO - Epoch(train) [13][1660/1879] lr: 4.4102e-02 eta: 2 days, 15:47:29 time: 0.5049 data_time: 0.0354 memory: 18108 grad_norm: 3.5746 loss: 5.2539 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.9908 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.2631 2023/01/31 12:28:11 - mmengine - INFO - Epoch(train) [13][1680/1879] lr: 4.4131e-02 eta: 2 days, 15:47:26 time: 0.5204 data_time: 0.0340 memory: 18108 grad_norm: 3.5370 loss: 5.0692 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.8633 top1_acc_1: 0.5647 top5_acc_1: 0.6824 loss_cls_1: 2.2059 2023/01/31 12:28:21 - mmengine - INFO - Epoch(train) [13][1700/1879] lr: 4.4159e-02 eta: 2 days, 15:47:13 time: 0.4968 data_time: 0.0345 memory: 18108 grad_norm: 3.5183 loss: 5.1202 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9933 top1_acc_1: 0.4588 top5_acc_1: 0.7647 loss_cls_1: 2.1269 2023/01/31 12:28:31 - mmengine - INFO - Epoch(train) [13][1720/1879] lr: 4.4187e-02 eta: 2 days, 15:47:03 time: 0.5008 data_time: 0.0357 memory: 18108 grad_norm: 3.5155 loss: 5.3840 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 3.1339 top1_acc_1: 0.4235 top5_acc_1: 0.6588 loss_cls_1: 2.2501 2023/01/31 12:28:43 - mmengine - INFO - Epoch(train) [13][1740/1879] lr: 4.4215e-02 eta: 2 days, 15:47:22 time: 0.5798 data_time: 0.0344 memory: 18108 grad_norm: 3.5509 loss: 5.2742 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.1218 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.1524 2023/01/31 12:28:53 - mmengine - INFO - Epoch(train) [13][1760/1879] lr: 4.4243e-02 eta: 2 days, 15:47:17 time: 0.5166 data_time: 0.0336 memory: 18108 grad_norm: 3.5498 loss: 5.2164 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9683 top1_acc_1: 0.4118 top5_acc_1: 0.6353 loss_cls_1: 2.2481 2023/01/31 12:29:04 - mmengine - INFO - Epoch(train) [13][1780/1879] lr: 4.4271e-02 eta: 2 days, 15:47:09 time: 0.5093 data_time: 0.0338 memory: 18108 grad_norm: 3.5024 loss: 5.0781 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7906 top1_acc_1: 0.4353 top5_acc_1: 0.7412 loss_cls_1: 2.2875 2023/01/31 12:29:14 - mmengine - INFO - Epoch(train) [13][1800/1879] lr: 4.4300e-02 eta: 2 days, 15:46:59 time: 0.5017 data_time: 0.0349 memory: 18108 grad_norm: 3.5234 loss: 4.9739 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8301 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 2.1438 2023/01/31 12:29:24 - mmengine - INFO - Epoch(train) [13][1820/1879] lr: 4.4328e-02 eta: 2 days, 15:46:55 time: 0.5192 data_time: 0.0425 memory: 18108 grad_norm: 3.5624 loss: 5.0414 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9071 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.1344 2023/01/31 12:29:34 - mmengine - INFO - Epoch(train) [13][1840/1879] lr: 4.4356e-02 eta: 2 days, 15:46:40 time: 0.4900 data_time: 0.0345 memory: 18108 grad_norm: 3.5579 loss: 5.2522 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.1288 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.1234 2023/01/31 12:29:44 - mmengine - INFO - Epoch(train) [13][1860/1879] lr: 4.4384e-02 eta: 2 days, 15:46:27 time: 0.4949 data_time: 0.0327 memory: 18108 grad_norm: 3.5454 loss: 5.2443 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.0180 top1_acc_1: 0.4235 top5_acc_1: 0.7176 loss_cls_1: 2.2264 2023/01/31 12:29:53 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 12:29:53 - mmengine - INFO - Epoch(train) [13][1879/1879] lr: 4.4411e-02 eta: 2 days, 15:46:11 time: 0.4877 data_time: 0.0378 memory: 18108 grad_norm: 3.5570 loss: 4.9640 top1_acc_0: 0.5714 top5_acc_0: 1.0000 loss_cls_0: 2.7489 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.2151 2023/01/31 12:30:08 - mmengine - INFO - Epoch(train) [14][ 20/1879] lr: 4.4439e-02 eta: 2 days, 15:47:16 time: 0.7026 data_time: 0.2583 memory: 18108 grad_norm: 3.4914 loss: 5.0551 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.8998 top1_acc_1: 0.4353 top5_acc_1: 0.7412 loss_cls_1: 2.1553 2023/01/31 12:30:17 - mmengine - INFO - Epoch(train) [14][ 40/1879] lr: 4.4467e-02 eta: 2 days, 15:46:52 time: 0.4667 data_time: 0.0351 memory: 18108 grad_norm: 3.5489 loss: 4.9145 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.7947 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.1198 2023/01/31 12:30:26 - mmengine - INFO - Epoch(train) [14][ 60/1879] lr: 4.4495e-02 eta: 2 days, 15:46:31 time: 0.4719 data_time: 0.0371 memory: 18108 grad_norm: 3.5135 loss: 5.2037 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.0888 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.1149 2023/01/31 12:30:36 - mmengine - INFO - Epoch(train) [14][ 80/1879] lr: 4.4524e-02 eta: 2 days, 15:46:18 time: 0.4973 data_time: 0.0424 memory: 18108 grad_norm: 3.5387 loss: 5.2445 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 3.0612 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.1833 2023/01/31 12:30:46 - mmengine - INFO - Epoch(train) [14][ 100/1879] lr: 4.4552e-02 eta: 2 days, 15:45:57 time: 0.4733 data_time: 0.0370 memory: 18108 grad_norm: 3.5735 loss: 5.2598 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 3.0164 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.2434 2023/01/31 12:30:55 - mmengine - INFO - Epoch(train) [14][ 120/1879] lr: 4.4580e-02 eta: 2 days, 15:45:33 time: 0.4637 data_time: 0.0319 memory: 18108 grad_norm: 3.5697 loss: 4.9591 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8196 top1_acc_1: 0.4471 top5_acc_1: 0.7529 loss_cls_1: 2.1395 2023/01/31 12:31:05 - mmengine - INFO - Epoch(train) [14][ 140/1879] lr: 4.4608e-02 eta: 2 days, 15:45:22 time: 0.5008 data_time: 0.0352 memory: 18108 grad_norm: 3.5496 loss: 5.2133 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.9803 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.2329 2023/01/31 12:31:15 - mmengine - INFO - Epoch(train) [14][ 160/1879] lr: 4.4636e-02 eta: 2 days, 15:45:02 time: 0.4771 data_time: 0.0314 memory: 18108 grad_norm: 3.5079 loss: 5.1047 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 2.9950 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.1097 2023/01/31 12:31:24 - mmengine - INFO - Epoch(train) [14][ 180/1879] lr: 4.4664e-02 eta: 2 days, 15:44:41 time: 0.4726 data_time: 0.0353 memory: 18108 grad_norm: 3.5435 loss: 4.8965 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7775 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 2.1190 2023/01/31 12:31:34 - mmengine - INFO - Epoch(train) [14][ 200/1879] lr: 4.4693e-02 eta: 2 days, 15:44:17 time: 0.4652 data_time: 0.0315 memory: 18108 grad_norm: 3.5191 loss: 5.3380 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.1389 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.1991 2023/01/31 12:31:44 - mmengine - INFO - Epoch(train) [14][ 220/1879] lr: 4.4721e-02 eta: 2 days, 15:44:10 time: 0.5105 data_time: 0.0349 memory: 18108 grad_norm: 3.5556 loss: 5.0307 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9160 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.1147 2023/01/31 12:31:53 - mmengine - INFO - Epoch(train) [14][ 240/1879] lr: 4.4749e-02 eta: 2 days, 15:43:45 time: 0.4630 data_time: 0.0326 memory: 18108 grad_norm: 3.5565 loss: 5.0991 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.8951 top1_acc_1: 0.5176 top5_acc_1: 0.6941 loss_cls_1: 2.2040 2023/01/31 12:32:02 - mmengine - INFO - Epoch(train) [14][ 260/1879] lr: 4.4777e-02 eta: 2 days, 15:43:23 time: 0.4687 data_time: 0.0371 memory: 18108 grad_norm: 3.5800 loss: 5.1852 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9936 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 2.1916 2023/01/31 12:32:12 - mmengine - INFO - Epoch(train) [14][ 280/1879] lr: 4.4805e-02 eta: 2 days, 15:43:03 time: 0.4777 data_time: 0.0391 memory: 18108 grad_norm: 3.5157 loss: 5.0448 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9507 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 2.0940 2023/01/31 12:32:22 - mmengine - INFO - Epoch(train) [14][ 300/1879] lr: 4.4834e-02 eta: 2 days, 15:42:50 time: 0.4930 data_time: 0.0369 memory: 18108 grad_norm: 3.5733 loss: 5.1292 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9345 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 2.1948 2023/01/31 12:32:31 - mmengine - INFO - Epoch(train) [14][ 320/1879] lr: 4.4862e-02 eta: 2 days, 15:42:25 time: 0.4640 data_time: 0.0324 memory: 18108 grad_norm: 3.4884 loss: 4.9742 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8515 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 2.1227 2023/01/31 12:32:41 - mmengine - INFO - Epoch(train) [14][ 340/1879] lr: 4.4890e-02 eta: 2 days, 15:42:05 time: 0.4745 data_time: 0.0367 memory: 18108 grad_norm: 3.5429 loss: 5.0811 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9942 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 2.0869 2023/01/31 12:32:50 - mmengine - INFO - Epoch(train) [14][ 360/1879] lr: 4.4918e-02 eta: 2 days, 15:41:49 time: 0.4875 data_time: 0.0374 memory: 18108 grad_norm: 3.5501 loss: 5.1847 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8995 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.2851 2023/01/31 12:33:00 - mmengine - INFO - Epoch(train) [14][ 380/1879] lr: 4.4946e-02 eta: 2 days, 15:41:28 time: 0.4712 data_time: 0.0344 memory: 18108 grad_norm: 3.5964 loss: 5.2485 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 3.1010 top1_acc_1: 0.6235 top5_acc_1: 0.7412 loss_cls_1: 2.1475 2023/01/31 12:33:09 - mmengine - INFO - Epoch(train) [14][ 400/1879] lr: 4.4974e-02 eta: 2 days, 15:41:03 time: 0.4620 data_time: 0.0326 memory: 18108 grad_norm: 3.5956 loss: 5.0497 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9905 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.0592 2023/01/31 12:33:19 - mmengine - INFO - Epoch(train) [14][ 420/1879] lr: 4.5003e-02 eta: 2 days, 15:40:50 time: 0.4941 data_time: 0.0422 memory: 18108 grad_norm: 3.6109 loss: 4.9368 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8699 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 2.0669 2023/01/31 12:33:28 - mmengine - INFO - Epoch(train) [14][ 440/1879] lr: 4.5031e-02 eta: 2 days, 15:40:29 time: 0.4739 data_time: 0.0328 memory: 18108 grad_norm: 3.5716 loss: 4.8688 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7057 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 2.1630 2023/01/31 12:33:38 - mmengine - INFO - Epoch(train) [14][ 460/1879] lr: 4.5059e-02 eta: 2 days, 15:40:12 time: 0.4850 data_time: 0.0376 memory: 18108 grad_norm: 3.5788 loss: 5.1467 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9747 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 2.1720 2023/01/31 12:33:48 - mmengine - INFO - Epoch(train) [14][ 480/1879] lr: 4.5087e-02 eta: 2 days, 15:39:54 time: 0.4786 data_time: 0.0311 memory: 18108 grad_norm: 3.5820 loss: 5.0028 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.8447 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.1581 2023/01/31 12:33:58 - mmengine - INFO - Epoch(train) [14][ 500/1879] lr: 4.5115e-02 eta: 2 days, 15:39:42 time: 0.4983 data_time: 0.0368 memory: 18108 grad_norm: 3.5449 loss: 5.1317 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8486 top1_acc_1: 0.4118 top5_acc_1: 0.6235 loss_cls_1: 2.2831 2023/01/31 12:34:07 - mmengine - INFO - Epoch(train) [14][ 520/1879] lr: 4.5143e-02 eta: 2 days, 15:39:24 time: 0.4815 data_time: 0.0312 memory: 18108 grad_norm: 3.6172 loss: 5.1387 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8537 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.2851 2023/01/31 12:34:17 - mmengine - INFO - Epoch(train) [14][ 540/1879] lr: 4.5172e-02 eta: 2 days, 15:39:03 time: 0.4727 data_time: 0.0359 memory: 18108 grad_norm: 3.5730 loss: 5.1512 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.9713 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.1799 2023/01/31 12:34:27 - mmengine - INFO - Epoch(train) [14][ 560/1879] lr: 4.5200e-02 eta: 2 days, 15:38:50 time: 0.4924 data_time: 0.0301 memory: 18108 grad_norm: 3.5007 loss: 5.1825 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.9883 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.1942 2023/01/31 12:34:33 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 12:34:36 - mmengine - INFO - Epoch(train) [14][ 580/1879] lr: 4.5228e-02 eta: 2 days, 15:38:35 time: 0.4900 data_time: 0.0345 memory: 18108 grad_norm: 3.5835 loss: 4.9827 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7681 top1_acc_1: 0.4941 top5_acc_1: 0.6941 loss_cls_1: 2.2146 2023/01/31 12:34:46 - mmengine - INFO - Epoch(train) [14][ 600/1879] lr: 4.5256e-02 eta: 2 days, 15:38:16 time: 0.4767 data_time: 0.0313 memory: 18108 grad_norm: 3.4836 loss: 5.0316 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.8407 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.1909 2023/01/31 12:34:56 - mmengine - INFO - Epoch(train) [14][ 620/1879] lr: 4.5284e-02 eta: 2 days, 15:38:00 time: 0.4881 data_time: 0.0349 memory: 18108 grad_norm: 3.5003 loss: 5.1979 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.9401 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.2578 2023/01/31 12:35:06 - mmengine - INFO - Epoch(train) [14][ 640/1879] lr: 4.5313e-02 eta: 2 days, 15:37:49 time: 0.4990 data_time: 0.0394 memory: 18108 grad_norm: 3.5433 loss: 5.1961 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.0503 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.1459 2023/01/31 12:35:15 - mmengine - INFO - Epoch(train) [14][ 660/1879] lr: 4.5341e-02 eta: 2 days, 15:37:29 time: 0.4756 data_time: 0.0343 memory: 18108 grad_norm: 3.5713 loss: 5.1387 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.9370 top1_acc_1: 0.4235 top5_acc_1: 0.7059 loss_cls_1: 2.2018 2023/01/31 12:35:25 - mmengine - INFO - Epoch(train) [14][ 680/1879] lr: 4.5369e-02 eta: 2 days, 15:37:14 time: 0.4880 data_time: 0.0310 memory: 18108 grad_norm: 3.5578 loss: 5.0233 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9076 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 2.1156 2023/01/31 12:35:35 - mmengine - INFO - Epoch(train) [14][ 700/1879] lr: 4.5397e-02 eta: 2 days, 15:37:04 time: 0.5024 data_time: 0.0453 memory: 18108 grad_norm: 3.5329 loss: 5.2710 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 3.0887 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 2.1823 2023/01/31 12:35:45 - mmengine - INFO - Epoch(train) [14][ 720/1879] lr: 4.5425e-02 eta: 2 days, 15:36:46 time: 0.4803 data_time: 0.0326 memory: 18108 grad_norm: 3.5282 loss: 5.1447 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8444 top1_acc_1: 0.4588 top5_acc_1: 0.7294 loss_cls_1: 2.3003 2023/01/31 12:35:54 - mmengine - INFO - Epoch(train) [14][ 740/1879] lr: 4.5453e-02 eta: 2 days, 15:36:26 time: 0.4757 data_time: 0.0361 memory: 18108 grad_norm: 3.4779 loss: 4.9951 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8499 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 2.1452 2023/01/31 12:36:04 - mmengine - INFO - Epoch(train) [14][ 760/1879] lr: 4.5482e-02 eta: 2 days, 15:36:14 time: 0.4964 data_time: 0.0368 memory: 18108 grad_norm: 3.5085 loss: 5.0162 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8881 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.1281 2023/01/31 12:36:14 - mmengine - INFO - Epoch(train) [14][ 780/1879] lr: 4.5510e-02 eta: 2 days, 15:36:12 time: 0.5249 data_time: 0.0438 memory: 18108 grad_norm: 3.5315 loss: 5.0004 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9108 top1_acc_1: 0.4588 top5_acc_1: 0.7647 loss_cls_1: 2.0896 2023/01/31 12:36:24 - mmengine - INFO - Epoch(train) [14][ 800/1879] lr: 4.5538e-02 eta: 2 days, 15:36:01 time: 0.4990 data_time: 0.0345 memory: 18108 grad_norm: 3.5485 loss: 5.0750 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.0133 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 2.0617 2023/01/31 12:36:34 - mmengine - INFO - Epoch(train) [14][ 820/1879] lr: 4.5566e-02 eta: 2 days, 15:35:49 time: 0.4975 data_time: 0.0332 memory: 18108 grad_norm: 3.5659 loss: 5.1661 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9350 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.2311 2023/01/31 12:36:45 - mmengine - INFO - Epoch(train) [14][ 840/1879] lr: 4.5594e-02 eta: 2 days, 15:35:42 time: 0.5089 data_time: 0.0443 memory: 18108 grad_norm: 3.5442 loss: 4.9926 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6917 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.3008 2023/01/31 12:36:54 - mmengine - INFO - Epoch(train) [14][ 860/1879] lr: 4.5622e-02 eta: 2 days, 15:35:27 time: 0.4894 data_time: 0.0338 memory: 18108 grad_norm: 3.5514 loss: 5.3897 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 3.2145 top1_acc_1: 0.4941 top5_acc_1: 0.6706 loss_cls_1: 2.1752 2023/01/31 12:37:04 - mmengine - INFO - Epoch(train) [14][ 880/1879] lr: 4.5651e-02 eta: 2 days, 15:35:15 time: 0.4969 data_time: 0.0318 memory: 18108 grad_norm: 3.5038 loss: 5.0484 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.8907 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.1577 2023/01/31 12:37:14 - mmengine - INFO - Epoch(train) [14][ 900/1879] lr: 4.5679e-02 eta: 2 days, 15:35:06 time: 0.5060 data_time: 0.0439 memory: 18108 grad_norm: 3.4609 loss: 5.0792 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.9674 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 2.1118 2023/01/31 12:37:24 - mmengine - INFO - Epoch(train) [14][ 920/1879] lr: 4.5707e-02 eta: 2 days, 15:34:52 time: 0.4904 data_time: 0.0316 memory: 18108 grad_norm: 3.5295 loss: 5.0598 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8864 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 2.1734 2023/01/31 12:37:34 - mmengine - INFO - Epoch(train) [14][ 940/1879] lr: 4.5735e-02 eta: 2 days, 15:34:38 time: 0.4923 data_time: 0.0345 memory: 18108 grad_norm: 3.5379 loss: 5.0515 top1_acc_0: 0.1875 top5_acc_0: 0.7500 loss_cls_0: 2.8740 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 2.1775 2023/01/31 12:37:44 - mmengine - INFO - Epoch(train) [14][ 960/1879] lr: 4.5763e-02 eta: 2 days, 15:34:29 time: 0.5046 data_time: 0.0315 memory: 18108 grad_norm: 3.5021 loss: 4.9966 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8174 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 2.1792 2023/01/31 12:37:54 - mmengine - INFO - Epoch(train) [14][ 980/1879] lr: 4.5792e-02 eta: 2 days, 15:34:19 time: 0.5025 data_time: 0.0341 memory: 18108 grad_norm: 3.5736 loss: 5.1006 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.9064 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.1942 2023/01/31 12:38:04 - mmengine - INFO - Epoch(train) [14][1000/1879] lr: 4.5820e-02 eta: 2 days, 15:34:03 time: 0.4860 data_time: 0.0329 memory: 18108 grad_norm: 3.5003 loss: 5.3093 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.0968 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 2.2125 2023/01/31 12:38:14 - mmengine - INFO - Epoch(train) [14][1020/1879] lr: 4.5848e-02 eta: 2 days, 15:33:56 time: 0.5112 data_time: 0.0335 memory: 18108 grad_norm: 3.5415 loss: 5.1530 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 3.0607 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 2.0923 2023/01/31 12:38:24 - mmengine - INFO - Epoch(train) [14][1040/1879] lr: 4.5876e-02 eta: 2 days, 15:33:50 time: 0.5136 data_time: 0.0309 memory: 18108 grad_norm: 3.5015 loss: 4.9144 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.7592 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.1553 2023/01/31 12:38:34 - mmengine - INFO - Epoch(train) [14][1060/1879] lr: 4.5904e-02 eta: 2 days, 15:33:39 time: 0.4977 data_time: 0.0347 memory: 18108 grad_norm: 3.5484 loss: 5.0194 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.9603 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 2.0591 2023/01/31 12:38:45 - mmengine - INFO - Epoch(train) [14][1080/1879] lr: 4.5932e-02 eta: 2 days, 15:33:32 time: 0.5130 data_time: 0.0335 memory: 18108 grad_norm: 3.5745 loss: 5.4134 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 3.1662 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 2.2472 2023/01/31 12:38:55 - mmengine - INFO - Epoch(train) [14][1100/1879] lr: 4.5961e-02 eta: 2 days, 15:33:23 time: 0.5049 data_time: 0.0428 memory: 18108 grad_norm: 3.5802 loss: 5.0411 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7870 top1_acc_1: 0.4118 top5_acc_1: 0.7059 loss_cls_1: 2.2541 2023/01/31 12:39:05 - mmengine - INFO - Epoch(train) [14][1120/1879] lr: 4.5989e-02 eta: 2 days, 15:33:13 time: 0.5017 data_time: 0.0321 memory: 18108 grad_norm: 3.5362 loss: 5.0718 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.8686 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 2.2032 2023/01/31 12:39:15 - mmengine - INFO - Epoch(train) [14][1140/1879] lr: 4.6017e-02 eta: 2 days, 15:32:56 time: 0.4842 data_time: 0.0347 memory: 18108 grad_norm: 3.5412 loss: 5.1532 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8829 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 2.2703 2023/01/31 12:39:24 - mmengine - INFO - Epoch(train) [14][1160/1879] lr: 4.6045e-02 eta: 2 days, 15:32:44 time: 0.4959 data_time: 0.0349 memory: 18108 grad_norm: 3.4981 loss: 5.1685 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.9912 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.1772 2023/01/31 12:39:35 - mmengine - INFO - Epoch(train) [14][1180/1879] lr: 4.6073e-02 eta: 2 days, 15:32:35 time: 0.5051 data_time: 0.0455 memory: 18108 grad_norm: 3.4549 loss: 5.1279 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 3.0213 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 2.1067 2023/01/31 12:39:44 - mmengine - INFO - Epoch(train) [14][1200/1879] lr: 4.6101e-02 eta: 2 days, 15:32:22 time: 0.4942 data_time: 0.0314 memory: 18108 grad_norm: 3.5289 loss: 5.2083 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.0573 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.1510 2023/01/31 12:39:55 - mmengine - INFO - Epoch(train) [14][1220/1879] lr: 4.6130e-02 eta: 2 days, 15:32:14 time: 0.5067 data_time: 0.0339 memory: 18108 grad_norm: 3.5951 loss: 5.1391 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9154 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.2237 2023/01/31 12:40:05 - mmengine - INFO - Epoch(train) [14][1240/1879] lr: 4.6158e-02 eta: 2 days, 15:32:02 time: 0.4970 data_time: 0.0317 memory: 18108 grad_norm: 3.5379 loss: 5.0899 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8905 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 2.1993 2023/01/31 12:40:15 - mmengine - INFO - Epoch(train) [14][1260/1879] lr: 4.6186e-02 eta: 2 days, 15:31:52 time: 0.5029 data_time: 0.0338 memory: 18108 grad_norm: 3.5105 loss: 5.0923 top1_acc_0: 0.0625 top5_acc_0: 0.4375 loss_cls_0: 2.9323 top1_acc_1: 0.5294 top5_acc_1: 0.6941 loss_cls_1: 2.1600 2023/01/31 12:40:25 - mmengine - INFO - Epoch(train) [14][1280/1879] lr: 4.6214e-02 eta: 2 days, 15:31:46 time: 0.5148 data_time: 0.0336 memory: 18108 grad_norm: 3.5398 loss: 5.0302 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9682 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0620 2023/01/31 12:40:35 - mmengine - INFO - Epoch(train) [14][1300/1879] lr: 4.6242e-02 eta: 2 days, 15:31:37 time: 0.5032 data_time: 0.0439 memory: 18108 grad_norm: 3.4873 loss: 5.2500 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.0799 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.1701 2023/01/31 12:40:45 - mmengine - INFO - Epoch(train) [14][1320/1879] lr: 4.6270e-02 eta: 2 days, 15:31:25 time: 0.4969 data_time: 0.0329 memory: 18108 grad_norm: 3.5169 loss: 5.0852 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.9183 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 2.1669 2023/01/31 12:40:55 - mmengine - INFO - Epoch(train) [14][1340/1879] lr: 4.6299e-02 eta: 2 days, 15:31:14 time: 0.5019 data_time: 0.0352 memory: 18108 grad_norm: 3.5183 loss: 5.2560 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.0496 top1_acc_1: 0.4588 top5_acc_1: 0.6588 loss_cls_1: 2.2065 2023/01/31 12:41:05 - mmengine - INFO - Epoch(train) [14][1360/1879] lr: 4.6327e-02 eta: 2 days, 15:31:07 time: 0.5100 data_time: 0.0320 memory: 18108 grad_norm: 3.5060 loss: 4.9693 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.8575 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.1119 2023/01/31 12:41:15 - mmengine - INFO - Epoch(train) [14][1380/1879] lr: 4.6355e-02 eta: 2 days, 15:30:55 time: 0.4973 data_time: 0.0421 memory: 18108 grad_norm: 3.5150 loss: 5.0726 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.9258 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.1468 2023/01/31 12:41:25 - mmengine - INFO - Epoch(train) [14][1400/1879] lr: 4.6383e-02 eta: 2 days, 15:30:42 time: 0.4920 data_time: 0.0319 memory: 18108 grad_norm: 3.5291 loss: 5.0271 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.9848 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 2.0423 2023/01/31 12:41:35 - mmengine - INFO - Epoch(train) [14][1420/1879] lr: 4.6411e-02 eta: 2 days, 15:30:36 time: 0.5137 data_time: 0.0330 memory: 18108 grad_norm: 3.5575 loss: 5.3418 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.0398 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 2.3020 2023/01/31 12:41:45 - mmengine - INFO - Epoch(train) [14][1440/1879] lr: 4.6440e-02 eta: 2 days, 15:30:23 time: 0.4957 data_time: 0.0415 memory: 18108 grad_norm: 3.5115 loss: 5.1373 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.0391 top1_acc_1: 0.5765 top5_acc_1: 0.7176 loss_cls_1: 2.0981 2023/01/31 12:41:55 - mmengine - INFO - Epoch(train) [14][1460/1879] lr: 4.6468e-02 eta: 2 days, 15:30:10 time: 0.4936 data_time: 0.0342 memory: 18108 grad_norm: 3.5562 loss: 5.2319 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 3.0422 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.1897 2023/01/31 12:42:05 - mmengine - INFO - Epoch(train) [14][1480/1879] lr: 4.6496e-02 eta: 2 days, 15:30:03 time: 0.5110 data_time: 0.0309 memory: 18108 grad_norm: 3.5880 loss: 5.0807 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9745 top1_acc_1: 0.5059 top5_acc_1: 0.8353 loss_cls_1: 2.1063 2023/01/31 12:42:15 - mmengine - INFO - Epoch(train) [14][1500/1879] lr: 4.6524e-02 eta: 2 days, 15:29:51 time: 0.4950 data_time: 0.0412 memory: 18108 grad_norm: 3.5006 loss: 4.9488 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7780 top1_acc_1: 0.4588 top5_acc_1: 0.7647 loss_cls_1: 2.1708 2023/01/31 12:42:25 - mmengine - INFO - Epoch(train) [14][1520/1879] lr: 4.6552e-02 eta: 2 days, 15:29:34 time: 0.4835 data_time: 0.0326 memory: 18108 grad_norm: 3.5061 loss: 5.0898 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8784 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.2114 2023/01/31 12:42:35 - mmengine - INFO - Epoch(train) [14][1540/1879] lr: 4.6580e-02 eta: 2 days, 15:29:27 time: 0.5108 data_time: 0.0357 memory: 18108 grad_norm: 3.5359 loss: 5.1038 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9615 top1_acc_1: 0.4588 top5_acc_1: 0.6706 loss_cls_1: 2.1422 2023/01/31 12:42:45 - mmengine - INFO - Epoch(train) [14][1560/1879] lr: 4.6609e-02 eta: 2 days, 15:29:15 time: 0.4958 data_time: 0.0313 memory: 18108 grad_norm: 3.5660 loss: 5.2595 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0942 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.1654 2023/01/31 12:42:51 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 12:42:55 - mmengine - INFO - Epoch(train) [14][1580/1879] lr: 4.6637e-02 eta: 2 days, 15:29:02 time: 0.4952 data_time: 0.0445 memory: 18108 grad_norm: 3.5155 loss: 5.0329 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9086 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.1243 2023/01/31 12:43:05 - mmengine - INFO - Epoch(train) [14][1600/1879] lr: 4.6665e-02 eta: 2 days, 15:28:46 time: 0.4843 data_time: 0.0313 memory: 18108 grad_norm: 3.4658 loss: 5.1178 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.9833 top1_acc_1: 0.5294 top5_acc_1: 0.6824 loss_cls_1: 2.1345 2023/01/31 12:43:15 - mmengine - INFO - Epoch(train) [14][1620/1879] lr: 4.6693e-02 eta: 2 days, 15:28:36 time: 0.5033 data_time: 0.0330 memory: 18108 grad_norm: 3.4991 loss: 5.1254 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9552 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.1702 2023/01/31 12:43:24 - mmengine - INFO - Epoch(train) [14][1640/1879] lr: 4.6721e-02 eta: 2 days, 15:28:23 time: 0.4937 data_time: 0.0379 memory: 18108 grad_norm: 3.4956 loss: 5.2253 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.0739 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 2.1514 2023/01/31 12:43:34 - mmengine - INFO - Epoch(train) [14][1660/1879] lr: 4.6749e-02 eta: 2 days, 15:28:10 time: 0.4924 data_time: 0.0343 memory: 18108 grad_norm: 3.5099 loss: 5.3334 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.0628 top1_acc_1: 0.4824 top5_acc_1: 0.6941 loss_cls_1: 2.2706 2023/01/31 12:43:45 - mmengine - INFO - Epoch(train) [14][1680/1879] lr: 4.6778e-02 eta: 2 days, 15:28:06 time: 0.5212 data_time: 0.0327 memory: 18108 grad_norm: 3.5129 loss: 5.0360 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8674 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 2.1686 2023/01/31 12:43:55 - mmengine - INFO - Epoch(train) [14][1700/1879] lr: 4.6806e-02 eta: 2 days, 15:27:53 time: 0.4943 data_time: 0.0399 memory: 18108 grad_norm: 3.4777 loss: 4.8558 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7588 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 2.0970 2023/01/31 12:44:05 - mmengine - INFO - Epoch(train) [14][1720/1879] lr: 4.6834e-02 eta: 2 days, 15:27:44 time: 0.5040 data_time: 0.0316 memory: 18108 grad_norm: 3.4777 loss: 5.1201 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9567 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 2.1634 2023/01/31 12:44:15 - mmengine - INFO - Epoch(train) [14][1740/1879] lr: 4.6862e-02 eta: 2 days, 15:27:36 time: 0.5089 data_time: 0.0351 memory: 18108 grad_norm: 3.4577 loss: 5.2033 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 3.0519 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 2.1513 2023/01/31 12:44:25 - mmengine - INFO - Epoch(train) [14][1760/1879] lr: 4.6890e-02 eta: 2 days, 15:27:28 time: 0.5082 data_time: 0.0377 memory: 18108 grad_norm: 3.5199 loss: 5.3354 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.1094 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.2260 2023/01/31 12:44:35 - mmengine - INFO - Epoch(train) [14][1780/1879] lr: 4.6919e-02 eta: 2 days, 15:27:14 time: 0.4892 data_time: 0.0324 memory: 18108 grad_norm: 3.4880 loss: 4.9276 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8448 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 2.0828 2023/01/31 12:44:46 - mmengine - INFO - Epoch(train) [14][1800/1879] lr: 4.6947e-02 eta: 2 days, 15:27:18 time: 0.5432 data_time: 0.0307 memory: 18108 grad_norm: 3.4623 loss: 5.2161 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 3.0540 top1_acc_1: 0.3882 top5_acc_1: 0.6118 loss_cls_1: 2.1621 2023/01/31 12:44:56 - mmengine - INFO - Epoch(train) [14][1820/1879] lr: 4.6975e-02 eta: 2 days, 15:27:03 time: 0.4903 data_time: 0.0325 memory: 18108 grad_norm: 3.5010 loss: 5.0076 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8907 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 2.1169 2023/01/31 12:45:06 - mmengine - INFO - Epoch(train) [14][1840/1879] lr: 4.7003e-02 eta: 2 days, 15:26:55 time: 0.5070 data_time: 0.0325 memory: 18108 grad_norm: 3.5100 loss: 5.2787 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 3.0959 top1_acc_1: 0.4471 top5_acc_1: 0.6588 loss_cls_1: 2.1827 2023/01/31 12:45:16 - mmengine - INFO - Epoch(train) [14][1860/1879] lr: 4.7031e-02 eta: 2 days, 15:26:42 time: 0.4948 data_time: 0.0340 memory: 18108 grad_norm: 3.5258 loss: 5.1555 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.9651 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.1905 2023/01/31 12:45:25 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 12:45:25 - mmengine - INFO - Epoch(train) [14][1879/1879] lr: 4.7058e-02 eta: 2 days, 15:26:28 time: 0.4841 data_time: 0.0296 memory: 18108 grad_norm: 3.5370 loss: 5.0613 top1_acc_0: 0.2857 top5_acc_0: 0.5714 loss_cls_0: 2.8797 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 2.1817 2023/01/31 12:45:40 - mmengine - INFO - Epoch(train) [15][ 20/1879] lr: 4.7086e-02 eta: 2 days, 15:27:29 time: 0.7096 data_time: 0.2689 memory: 18108 grad_norm: 3.4830 loss: 5.0140 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.8684 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.1456 2023/01/31 12:45:49 - mmengine - INFO - Epoch(train) [15][ 40/1879] lr: 4.7114e-02 eta: 2 days, 15:27:07 time: 0.4673 data_time: 0.0301 memory: 18108 grad_norm: 3.5036 loss: 5.1210 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.0299 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.0911 2023/01/31 12:45:58 - mmengine - INFO - Epoch(train) [15][ 60/1879] lr: 4.7143e-02 eta: 2 days, 15:26:47 time: 0.4735 data_time: 0.0374 memory: 18108 grad_norm: 3.4150 loss: 5.1919 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 3.0103 top1_acc_1: 0.4118 top5_acc_1: 0.7176 loss_cls_1: 2.1816 2023/01/31 12:46:09 - mmengine - INFO - Epoch(train) [15][ 80/1879] lr: 4.7171e-02 eta: 2 days, 15:26:41 time: 0.5122 data_time: 0.0398 memory: 18108 grad_norm: 3.4815 loss: 5.0598 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.9325 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 2.1273 2023/01/31 12:46:18 - mmengine - INFO - Epoch(train) [15][ 100/1879] lr: 4.7199e-02 eta: 2 days, 15:26:20 time: 0.4707 data_time: 0.0374 memory: 18108 grad_norm: 3.5101 loss: 5.0124 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 2.9318 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 2.0806 2023/01/31 12:46:27 - mmengine - INFO - Epoch(train) [15][ 120/1879] lr: 4.7227e-02 eta: 2 days, 15:25:55 time: 0.4592 data_time: 0.0307 memory: 18108 grad_norm: 3.4991 loss: 4.8035 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7625 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.0411 2023/01/31 12:46:37 - mmengine - INFO - Epoch(train) [15][ 140/1879] lr: 4.7255e-02 eta: 2 days, 15:25:44 time: 0.4995 data_time: 0.0477 memory: 18108 grad_norm: 3.4923 loss: 4.8275 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.7044 top1_acc_1: 0.4235 top5_acc_1: 0.6706 loss_cls_1: 2.1231 2023/01/31 12:46:47 - mmengine - INFO - Epoch(train) [15][ 160/1879] lr: 4.7283e-02 eta: 2 days, 15:25:26 time: 0.4806 data_time: 0.0292 memory: 18108 grad_norm: 3.5003 loss: 5.2538 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.1054 top1_acc_1: 0.4941 top5_acc_1: 0.6941 loss_cls_1: 2.1483 2023/01/31 12:46:56 - mmengine - INFO - Epoch(train) [15][ 180/1879] lr: 4.7312e-02 eta: 2 days, 15:25:06 time: 0.4729 data_time: 0.0390 memory: 18108 grad_norm: 3.4662 loss: 4.9465 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8439 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.1026 2023/01/31 12:47:06 - mmengine - INFO - Epoch(train) [15][ 200/1879] lr: 4.7340e-02 eta: 2 days, 15:24:43 time: 0.4640 data_time: 0.0298 memory: 18108 grad_norm: 3.5118 loss: 5.1131 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9341 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 2.1790 2023/01/31 12:47:16 - mmengine - INFO - Epoch(train) [15][ 220/1879] lr: 4.7368e-02 eta: 2 days, 15:24:33 time: 0.5013 data_time: 0.0363 memory: 18108 grad_norm: 3.5027 loss: 5.0042 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8977 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.1065 2023/01/31 12:47:25 - mmengine - INFO - Epoch(train) [15][ 240/1879] lr: 4.7396e-02 eta: 2 days, 15:24:12 time: 0.4716 data_time: 0.0312 memory: 18108 grad_norm: 3.5233 loss: 5.2230 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 3.0203 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.2027 2023/01/31 12:47:35 - mmengine - INFO - Epoch(train) [15][ 260/1879] lr: 4.7424e-02 eta: 2 days, 15:23:53 time: 0.4766 data_time: 0.0380 memory: 18108 grad_norm: 3.5239 loss: 5.2655 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 3.1670 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 2.0985 2023/01/31 12:47:45 - mmengine - INFO - Epoch(train) [15][ 280/1879] lr: 4.7452e-02 eta: 2 days, 15:23:40 time: 0.4932 data_time: 0.0401 memory: 18108 grad_norm: 3.4990 loss: 5.1899 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.0367 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.1532 2023/01/31 12:47:55 - mmengine - INFO - Epoch(train) [15][ 300/1879] lr: 4.7481e-02 eta: 2 days, 15:23:30 time: 0.5022 data_time: 0.0372 memory: 18108 grad_norm: 3.4762 loss: 5.1270 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.0365 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.0905 2023/01/31 12:48:04 - mmengine - INFO - Epoch(train) [15][ 320/1879] lr: 4.7509e-02 eta: 2 days, 15:23:15 time: 0.4877 data_time: 0.0293 memory: 18108 grad_norm: 3.4454 loss: 4.7029 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6607 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0422 2023/01/31 12:48:14 - mmengine - INFO - Epoch(train) [15][ 340/1879] lr: 4.7537e-02 eta: 2 days, 15:23:02 time: 0.4929 data_time: 0.0452 memory: 18108 grad_norm: 3.4639 loss: 5.0606 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.9303 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.1303 2023/01/31 12:48:24 - mmengine - INFO - Epoch(train) [15][ 360/1879] lr: 4.7565e-02 eta: 2 days, 15:22:49 time: 0.4954 data_time: 0.0288 memory: 18108 grad_norm: 3.5243 loss: 5.2594 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.0884 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 2.1710 2023/01/31 12:48:34 - mmengine - INFO - Epoch(train) [15][ 380/1879] lr: 4.7593e-02 eta: 2 days, 15:22:37 time: 0.4944 data_time: 0.0387 memory: 18108 grad_norm: 3.5710 loss: 4.8503 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7405 top1_acc_1: 0.4471 top5_acc_1: 0.7294 loss_cls_1: 2.1098 2023/01/31 12:48:44 - mmengine - INFO - Epoch(train) [15][ 400/1879] lr: 4.7622e-02 eta: 2 days, 15:22:19 time: 0.4795 data_time: 0.0312 memory: 18108 grad_norm: 3.4554 loss: 5.1853 top1_acc_0: 0.0625 top5_acc_0: 0.3125 loss_cls_0: 3.0503 top1_acc_1: 0.5059 top5_acc_1: 0.6824 loss_cls_1: 2.1350 2023/01/31 12:48:54 - mmengine - INFO - Epoch(train) [15][ 420/1879] lr: 4.7650e-02 eta: 2 days, 15:22:12 time: 0.5120 data_time: 0.0452 memory: 18108 grad_norm: 3.4827 loss: 5.0534 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7611 top1_acc_1: 0.5059 top5_acc_1: 0.6706 loss_cls_1: 2.2923 2023/01/31 12:49:04 - mmengine - INFO - Epoch(train) [15][ 440/1879] lr: 4.7678e-02 eta: 2 days, 15:21:59 time: 0.4926 data_time: 0.0301 memory: 18108 grad_norm: 3.5046 loss: 5.1944 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 3.0585 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.1359 2023/01/31 12:49:13 - mmengine - INFO - Epoch(train) [15][ 460/1879] lr: 4.7706e-02 eta: 2 days, 15:21:42 time: 0.4831 data_time: 0.0406 memory: 18108 grad_norm: 3.5179 loss: 5.1153 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.9391 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.1761 2023/01/31 12:49:23 - mmengine - INFO - Epoch(train) [15][ 480/1879] lr: 4.7734e-02 eta: 2 days, 15:21:30 time: 0.4943 data_time: 0.0280 memory: 18108 grad_norm: 3.5434 loss: 4.9724 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8662 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 2.1062 2023/01/31 12:49:33 - mmengine - INFO - Epoch(train) [15][ 500/1879] lr: 4.7762e-02 eta: 2 days, 15:21:19 time: 0.4994 data_time: 0.0463 memory: 18108 grad_norm: 3.5082 loss: 4.9329 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8550 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 2.0779 2023/01/31 12:49:43 - mmengine - INFO - Epoch(train) [15][ 520/1879] lr: 4.7791e-02 eta: 2 days, 15:21:05 time: 0.4898 data_time: 0.0305 memory: 18108 grad_norm: 3.5486 loss: 4.8687 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6903 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 2.1784 2023/01/31 12:49:53 - mmengine - INFO - Epoch(train) [15][ 540/1879] lr: 4.7819e-02 eta: 2 days, 15:20:53 time: 0.4974 data_time: 0.0340 memory: 18108 grad_norm: 3.5695 loss: 5.2473 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.1396 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 2.1077 2023/01/31 12:50:03 - mmengine - INFO - Epoch(train) [15][ 560/1879] lr: 4.7847e-02 eta: 2 days, 15:20:41 time: 0.4975 data_time: 0.0384 memory: 18108 grad_norm: 3.5052 loss: 4.9802 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7704 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.2098 2023/01/31 12:50:13 - mmengine - INFO - Epoch(train) [15][ 580/1879] lr: 4.7875e-02 eta: 2 days, 15:20:33 time: 0.5057 data_time: 0.0368 memory: 18108 grad_norm: 3.4940 loss: 5.0571 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.9302 top1_acc_1: 0.5412 top5_acc_1: 0.6941 loss_cls_1: 2.1269 2023/01/31 12:50:23 - mmengine - INFO - Epoch(train) [15][ 600/1879] lr: 4.7903e-02 eta: 2 days, 15:20:18 time: 0.4880 data_time: 0.0296 memory: 18108 grad_norm: 3.4862 loss: 4.9551 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7512 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 2.2039 2023/01/31 12:50:36 - mmengine - INFO - Epoch(train) [15][ 620/1879] lr: 4.7931e-02 eta: 2 days, 15:20:56 time: 0.6446 data_time: 0.0467 memory: 18108 grad_norm: 3.4668 loss: 5.1827 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9539 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 2.2288 2023/01/31 12:50:46 - mmengine - INFO - Epoch(train) [15][ 640/1879] lr: 4.7960e-02 eta: 2 days, 15:20:45 time: 0.4990 data_time: 0.0295 memory: 18108 grad_norm: 3.4563 loss: 5.1419 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 3.0097 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 2.1322 2023/01/31 12:50:56 - mmengine - INFO - Epoch(train) [15][ 660/1879] lr: 4.7988e-02 eta: 2 days, 15:20:31 time: 0.4910 data_time: 0.0376 memory: 18108 grad_norm: 3.4762 loss: 5.0334 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.9613 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 2.0722 2023/01/31 12:51:05 - mmengine - INFO - Epoch(train) [15][ 680/1879] lr: 4.8016e-02 eta: 2 days, 15:20:17 time: 0.4922 data_time: 0.0298 memory: 18108 grad_norm: 3.5221 loss: 4.8024 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6937 top1_acc_1: 0.4588 top5_acc_1: 0.7647 loss_cls_1: 2.1087 2023/01/31 12:51:12 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 12:51:15 - mmengine - INFO - Epoch(train) [15][ 700/1879] lr: 4.8044e-02 eta: 2 days, 15:20:07 time: 0.5021 data_time: 0.0367 memory: 18108 grad_norm: 3.5034 loss: 5.1700 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.9741 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 2.1959 2023/01/31 12:51:25 - mmengine - INFO - Epoch(train) [15][ 720/1879] lr: 4.8072e-02 eta: 2 days, 15:19:56 time: 0.4993 data_time: 0.0283 memory: 18108 grad_norm: 3.5276 loss: 5.1499 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.9683 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.1816 2023/01/31 12:51:35 - mmengine - INFO - Epoch(train) [15][ 740/1879] lr: 4.8100e-02 eta: 2 days, 15:19:47 time: 0.5040 data_time: 0.0368 memory: 18108 grad_norm: 3.4983 loss: 4.9390 top1_acc_0: 0.0625 top5_acc_0: 0.5000 loss_cls_0: 2.8710 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0680 2023/01/31 12:51:45 - mmengine - INFO - Epoch(train) [15][ 760/1879] lr: 4.8129e-02 eta: 2 days, 15:19:34 time: 0.4930 data_time: 0.0286 memory: 18108 grad_norm: 3.5303 loss: 5.0578 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8049 top1_acc_1: 0.4235 top5_acc_1: 0.7176 loss_cls_1: 2.2529 2023/01/31 12:51:55 - mmengine - INFO - Epoch(train) [15][ 780/1879] lr: 4.8157e-02 eta: 2 days, 15:19:23 time: 0.4987 data_time: 0.0371 memory: 18108 grad_norm: 3.4914 loss: 5.0197 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8465 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 2.1731 2023/01/31 12:52:05 - mmengine - INFO - Epoch(train) [15][ 800/1879] lr: 4.8185e-02 eta: 2 days, 15:19:12 time: 0.5014 data_time: 0.0289 memory: 18108 grad_norm: 3.4945 loss: 5.2232 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 3.1236 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0997 2023/01/31 12:52:16 - mmengine - INFO - Epoch(train) [15][ 820/1879] lr: 4.8213e-02 eta: 2 days, 15:19:04 time: 0.5081 data_time: 0.0430 memory: 18108 grad_norm: 3.4982 loss: 5.1212 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 3.0118 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.1094 2023/01/31 12:52:25 - mmengine - INFO - Epoch(train) [15][ 840/1879] lr: 4.8241e-02 eta: 2 days, 15:18:52 time: 0.4969 data_time: 0.0279 memory: 18108 grad_norm: 3.4681 loss: 5.2606 top1_acc_0: 0.0625 top5_acc_0: 0.5000 loss_cls_0: 3.1204 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.1402 2023/01/31 12:52:35 - mmengine - INFO - Epoch(train) [15][ 860/1879] lr: 4.8270e-02 eta: 2 days, 15:18:42 time: 0.5014 data_time: 0.0359 memory: 18108 grad_norm: 3.4764 loss: 5.0114 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.8310 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 2.1804 2023/01/31 12:52:45 - mmengine - INFO - Epoch(train) [15][ 880/1879] lr: 4.8298e-02 eta: 2 days, 15:18:28 time: 0.4894 data_time: 0.0365 memory: 18108 grad_norm: 3.5979 loss: 5.1982 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.0471 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.1512 2023/01/31 12:52:55 - mmengine - INFO - Epoch(train) [15][ 900/1879] lr: 4.8326e-02 eta: 2 days, 15:18:20 time: 0.5103 data_time: 0.0387 memory: 18108 grad_norm: 3.5329 loss: 5.2863 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 3.0594 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 2.2269 2023/01/31 12:53:05 - mmengine - INFO - Epoch(train) [15][ 920/1879] lr: 4.8354e-02 eta: 2 days, 15:18:09 time: 0.4982 data_time: 0.0293 memory: 18108 grad_norm: 3.4759 loss: 5.0644 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8878 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 2.1766 2023/01/31 12:53:15 - mmengine - INFO - Epoch(train) [15][ 940/1879] lr: 4.8382e-02 eta: 2 days, 15:17:56 time: 0.4942 data_time: 0.0353 memory: 18108 grad_norm: 3.4343 loss: 5.0726 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 3.0184 top1_acc_1: 0.4706 top5_acc_1: 0.7059 loss_cls_1: 2.0542 2023/01/31 12:53:25 - mmengine - INFO - Epoch(train) [15][ 960/1879] lr: 4.8410e-02 eta: 2 days, 15:17:46 time: 0.5008 data_time: 0.0277 memory: 18108 grad_norm: 3.4157 loss: 5.2623 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.0170 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.2453 2023/01/31 12:53:35 - mmengine - INFO - Epoch(train) [15][ 980/1879] lr: 4.8439e-02 eta: 2 days, 15:17:31 time: 0.4887 data_time: 0.0362 memory: 18108 grad_norm: 3.4655 loss: 5.1423 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.9669 top1_acc_1: 0.4588 top5_acc_1: 0.7412 loss_cls_1: 2.1754 2023/01/31 12:53:45 - mmengine - INFO - Epoch(train) [15][1000/1879] lr: 4.8467e-02 eta: 2 days, 15:17:20 time: 0.4979 data_time: 0.0285 memory: 18108 grad_norm: 3.4956 loss: 4.9079 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.8821 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0258 2023/01/31 12:53:55 - mmengine - INFO - Epoch(train) [15][1020/1879] lr: 4.8495e-02 eta: 2 days, 15:17:10 time: 0.5030 data_time: 0.0451 memory: 18108 grad_norm: 3.4971 loss: 5.2649 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.0868 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 2.1781 2023/01/31 12:54:05 - mmengine - INFO - Epoch(train) [15][1040/1879] lr: 4.8523e-02 eta: 2 days, 15:16:59 time: 0.4995 data_time: 0.0314 memory: 18108 grad_norm: 3.5079 loss: 4.9689 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7897 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.1793 2023/01/31 12:54:15 - mmengine - INFO - Epoch(train) [15][1060/1879] lr: 4.8551e-02 eta: 2 days, 15:16:47 time: 0.4944 data_time: 0.0373 memory: 18108 grad_norm: 3.5030 loss: 5.0297 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.8735 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.1562 2023/01/31 12:54:25 - mmengine - INFO - Epoch(train) [15][1080/1879] lr: 4.8579e-02 eta: 2 days, 15:16:34 time: 0.4946 data_time: 0.0299 memory: 18108 grad_norm: 3.3951 loss: 4.9369 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7559 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.1810 2023/01/31 12:54:35 - mmengine - INFO - Epoch(train) [15][1100/1879] lr: 4.8608e-02 eta: 2 days, 15:16:25 time: 0.5044 data_time: 0.0345 memory: 18108 grad_norm: 3.4884 loss: 5.0896 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8807 top1_acc_1: 0.4824 top5_acc_1: 0.6824 loss_cls_1: 2.2089 2023/01/31 12:54:45 - mmengine - INFO - Epoch(train) [15][1120/1879] lr: 4.8636e-02 eta: 2 days, 15:16:12 time: 0.4948 data_time: 0.0291 memory: 18108 grad_norm: 3.5217 loss: 4.9533 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8674 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0859 2023/01/31 12:54:55 - mmengine - INFO - Epoch(train) [15][1140/1879] lr: 4.8664e-02 eta: 2 days, 15:16:01 time: 0.4995 data_time: 0.0380 memory: 18108 grad_norm: 3.5135 loss: 4.9393 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8200 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.1193 2023/01/31 12:55:05 - mmengine - INFO - Epoch(train) [15][1160/1879] lr: 4.8692e-02 eta: 2 days, 15:15:50 time: 0.4985 data_time: 0.0284 memory: 18108 grad_norm: 3.4944 loss: 5.0375 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9261 top1_acc_1: 0.4588 top5_acc_1: 0.6353 loss_cls_1: 2.1115 2023/01/31 12:55:15 - mmengine - INFO - Epoch(train) [15][1180/1879] lr: 4.8720e-02 eta: 2 days, 15:15:42 time: 0.5087 data_time: 0.0367 memory: 18108 grad_norm: 3.4451 loss: 5.0302 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9096 top1_acc_1: 0.4588 top5_acc_1: 0.6824 loss_cls_1: 2.1206 2023/01/31 12:55:25 - mmengine - INFO - Epoch(train) [15][1200/1879] lr: 4.8749e-02 eta: 2 days, 15:15:34 time: 0.5091 data_time: 0.0361 memory: 18108 grad_norm: 3.4397 loss: 5.1097 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.9236 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 2.1861 2023/01/31 12:55:36 - mmengine - INFO - Epoch(train) [15][1220/1879] lr: 4.8777e-02 eta: 2 days, 15:15:31 time: 0.5221 data_time: 0.0361 memory: 18108 grad_norm: 3.4882 loss: 5.0054 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.7798 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 2.2256 2023/01/31 12:55:46 - mmengine - INFO - Epoch(train) [15][1240/1879] lr: 4.8805e-02 eta: 2 days, 15:15:18 time: 0.4924 data_time: 0.0282 memory: 18108 grad_norm: 3.5029 loss: 5.0108 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.8802 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.1305 2023/01/31 12:55:56 - mmengine - INFO - Epoch(train) [15][1260/1879] lr: 4.8833e-02 eta: 2 days, 15:15:11 time: 0.5116 data_time: 0.0442 memory: 18108 grad_norm: 3.4845 loss: 5.2024 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.9743 top1_acc_1: 0.4118 top5_acc_1: 0.6471 loss_cls_1: 2.2281 2023/01/31 12:56:06 - mmengine - INFO - Epoch(train) [15][1280/1879] lr: 4.8861e-02 eta: 2 days, 15:14:59 time: 0.4978 data_time: 0.0283 memory: 18108 grad_norm: 3.4648 loss: 4.8866 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.7369 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.1496 2023/01/31 12:56:16 - mmengine - INFO - Epoch(train) [15][1300/1879] lr: 4.8889e-02 eta: 2 days, 15:14:55 time: 0.5188 data_time: 0.0363 memory: 18108 grad_norm: 3.5362 loss: 5.2272 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 3.0580 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.1693 2023/01/31 12:56:26 - mmengine - INFO - Epoch(train) [15][1320/1879] lr: 4.8918e-02 eta: 2 days, 15:14:43 time: 0.4961 data_time: 0.0274 memory: 18108 grad_norm: 3.4764 loss: 4.9202 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8186 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 2.1016 2023/01/31 12:56:36 - mmengine - INFO - Epoch(train) [15][1340/1879] lr: 4.8946e-02 eta: 2 days, 15:14:36 time: 0.5118 data_time: 0.0429 memory: 18108 grad_norm: 3.4741 loss: 5.1454 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9998 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.1457 2023/01/31 12:56:46 - mmengine - INFO - Epoch(train) [15][1360/1879] lr: 4.8974e-02 eta: 2 days, 15:14:24 time: 0.4981 data_time: 0.0280 memory: 18108 grad_norm: 3.5197 loss: 4.9735 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8674 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 2.1061 2023/01/31 12:56:56 - mmengine - INFO - Epoch(train) [15][1380/1879] lr: 4.9002e-02 eta: 2 days, 15:14:14 time: 0.5009 data_time: 0.0353 memory: 18108 grad_norm: 3.5301 loss: 5.2771 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 3.0913 top1_acc_1: 0.4118 top5_acc_1: 0.7294 loss_cls_1: 2.1858 2023/01/31 12:57:06 - mmengine - INFO - Epoch(train) [15][1400/1879] lr: 4.9030e-02 eta: 2 days, 15:14:05 time: 0.5042 data_time: 0.0303 memory: 18108 grad_norm: 3.5007 loss: 5.2123 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0825 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 2.1298 2023/01/31 12:57:17 - mmengine - INFO - Epoch(train) [15][1420/1879] lr: 4.9058e-02 eta: 2 days, 15:13:58 time: 0.5115 data_time: 0.0350 memory: 18108 grad_norm: 3.4827 loss: 4.8752 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7970 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 2.0782 2023/01/31 12:57:27 - mmengine - INFO - Epoch(train) [15][1440/1879] lr: 4.9087e-02 eta: 2 days, 15:13:46 time: 0.4972 data_time: 0.0297 memory: 18108 grad_norm: 3.4445 loss: 5.0860 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9116 top1_acc_1: 0.4000 top5_acc_1: 0.6941 loss_cls_1: 2.1743 2023/01/31 12:57:37 - mmengine - INFO - Epoch(train) [15][1460/1879] lr: 4.9115e-02 eta: 2 days, 15:13:39 time: 0.5115 data_time: 0.0434 memory: 18108 grad_norm: 3.4780 loss: 4.8920 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8576 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.0344 2023/01/31 12:57:47 - mmengine - INFO - Epoch(train) [15][1480/1879] lr: 4.9143e-02 eta: 2 days, 15:13:26 time: 0.4941 data_time: 0.0295 memory: 18108 grad_norm: 3.4309 loss: 4.7068 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7006 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.0062 2023/01/31 12:57:56 - mmengine - INFO - Epoch(train) [15][1500/1879] lr: 4.9171e-02 eta: 2 days, 15:13:11 time: 0.4861 data_time: 0.0373 memory: 18108 grad_norm: 3.4957 loss: 5.2646 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 3.0725 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.1922 2023/01/31 12:58:06 - mmengine - INFO - Epoch(train) [15][1520/1879] lr: 4.9199e-02 eta: 2 days, 15:13:00 time: 0.4980 data_time: 0.0285 memory: 18108 grad_norm: 3.5161 loss: 5.3886 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.2515 top1_acc_1: 0.4471 top5_acc_1: 0.7059 loss_cls_1: 2.1371 2023/01/31 12:58:16 - mmengine - INFO - Epoch(train) [15][1540/1879] lr: 4.9228e-02 eta: 2 days, 15:12:50 time: 0.5025 data_time: 0.0443 memory: 18108 grad_norm: 3.4668 loss: 5.0472 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9550 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 2.0922 2023/01/31 12:58:26 - mmengine - INFO - Epoch(train) [15][1560/1879] lr: 4.9256e-02 eta: 2 days, 15:12:40 time: 0.5019 data_time: 0.0290 memory: 18108 grad_norm: 3.4722 loss: 5.0893 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.9338 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 2.1555 2023/01/31 12:58:36 - mmengine - INFO - Epoch(train) [15][1580/1879] lr: 4.9284e-02 eta: 2 days, 15:12:25 time: 0.4877 data_time: 0.0436 memory: 18108 grad_norm: 3.4431 loss: 5.0205 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.9372 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 2.0833 2023/01/31 12:58:46 - mmengine - INFO - Epoch(train) [15][1600/1879] lr: 4.9312e-02 eta: 2 days, 15:12:13 time: 0.4961 data_time: 0.0279 memory: 18108 grad_norm: 3.4136 loss: 5.0703 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8449 top1_acc_1: 0.4353 top5_acc_1: 0.7176 loss_cls_1: 2.2253 2023/01/31 12:58:56 - mmengine - INFO - Epoch(train) [15][1620/1879] lr: 4.9340e-02 eta: 2 days, 15:12:02 time: 0.5010 data_time: 0.0371 memory: 18108 grad_norm: 3.4384 loss: 5.2258 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.0436 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 2.1822 2023/01/31 12:59:06 - mmengine - INFO - Epoch(train) [15][1640/1879] lr: 4.9368e-02 eta: 2 days, 15:11:48 time: 0.4879 data_time: 0.0294 memory: 18108 grad_norm: 3.5039 loss: 4.9243 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8638 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0605 2023/01/31 12:59:16 - mmengine - INFO - Epoch(train) [15][1660/1879] lr: 4.9397e-02 eta: 2 days, 15:11:34 time: 0.4912 data_time: 0.0358 memory: 18108 grad_norm: 3.4383 loss: 5.1624 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0396 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.1227 2023/01/31 12:59:26 - mmengine - INFO - Epoch(train) [15][1680/1879] lr: 4.9425e-02 eta: 2 days, 15:11:26 time: 0.5070 data_time: 0.0300 memory: 18108 grad_norm: 3.4425 loss: 5.1628 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.9264 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 2.2363 2023/01/31 12:59:33 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 12:59:36 - mmengine - INFO - Epoch(train) [15][1700/1879] lr: 4.9453e-02 eta: 2 days, 15:11:14 time: 0.4964 data_time: 0.0345 memory: 18108 grad_norm: 3.5279 loss: 5.2165 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.0972 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.1193 2023/01/31 12:59:46 - mmengine - INFO - Epoch(train) [15][1720/1879] lr: 4.9481e-02 eta: 2 days, 15:10:59 time: 0.4875 data_time: 0.0276 memory: 18108 grad_norm: 3.4729 loss: 5.1234 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.9544 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 2.1690 2023/01/31 12:59:56 - mmengine - INFO - Epoch(train) [15][1740/1879] lr: 4.9509e-02 eta: 2 days, 15:10:49 time: 0.5036 data_time: 0.0357 memory: 18108 grad_norm: 3.4673 loss: 5.0688 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.9301 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.1387 2023/01/31 13:00:05 - mmengine - INFO - Epoch(train) [15][1760/1879] lr: 4.9537e-02 eta: 2 days, 15:10:35 time: 0.4877 data_time: 0.0291 memory: 18108 grad_norm: 3.4986 loss: 5.0815 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.8771 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 2.2044 2023/01/31 13:00:16 - mmengine - INFO - Epoch(train) [15][1780/1879] lr: 4.9566e-02 eta: 2 days, 15:10:29 time: 0.5153 data_time: 0.0430 memory: 18108 grad_norm: 3.4203 loss: 5.3377 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 3.0997 top1_acc_1: 0.4471 top5_acc_1: 0.7294 loss_cls_1: 2.2379 2023/01/31 13:00:25 - mmengine - INFO - Epoch(train) [15][1800/1879] lr: 4.9594e-02 eta: 2 days, 15:10:14 time: 0.4877 data_time: 0.0301 memory: 18108 grad_norm: 3.4434 loss: 5.0072 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8669 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 2.1403 2023/01/31 13:00:35 - mmengine - INFO - Epoch(train) [15][1820/1879] lr: 4.9622e-02 eta: 2 days, 15:10:01 time: 0.4914 data_time: 0.0375 memory: 18108 grad_norm: 3.4947 loss: 5.3542 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.1028 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.2514 2023/01/31 13:00:45 - mmengine - INFO - Epoch(train) [15][1840/1879] lr: 4.9650e-02 eta: 2 days, 15:09:46 time: 0.4864 data_time: 0.0290 memory: 18108 grad_norm: 3.3963 loss: 4.7388 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7624 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9764 2023/01/31 13:00:55 - mmengine - INFO - Epoch(train) [15][1860/1879] lr: 4.9678e-02 eta: 2 days, 15:09:37 time: 0.5076 data_time: 0.0432 memory: 18108 grad_norm: 3.4404 loss: 4.9238 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7908 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.1331 2023/01/31 13:01:04 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 13:01:04 - mmengine - INFO - Epoch(train) [15][1879/1879] lr: 4.9705e-02 eta: 2 days, 15:09:15 time: 0.4617 data_time: 0.0280 memory: 18108 grad_norm: 3.4670 loss: 4.7701 top1_acc_0: 0.1429 top5_acc_0: 0.2857 loss_cls_0: 2.6537 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 2.1164 2023/01/31 13:01:19 - mmengine - INFO - Epoch(train) [16][ 20/1879] lr: 4.9733e-02 eta: 2 days, 15:10:10 time: 0.7032 data_time: 0.2607 memory: 18108 grad_norm: 3.4247 loss: 4.9601 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8346 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.1255 2023/01/31 13:01:28 - mmengine - INFO - Epoch(train) [16][ 40/1879] lr: 4.9761e-02 eta: 2 days, 15:09:49 time: 0.4698 data_time: 0.0329 memory: 18108 grad_norm: 3.4397 loss: 4.7032 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6025 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.1007 2023/01/31 13:01:38 - mmengine - INFO - Epoch(train) [16][ 60/1879] lr: 4.9790e-02 eta: 2 days, 15:09:32 time: 0.4808 data_time: 0.0372 memory: 18108 grad_norm: 3.4350 loss: 4.9737 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.9518 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 2.0220 2023/01/31 13:01:48 - mmengine - INFO - Epoch(train) [16][ 80/1879] lr: 4.9818e-02 eta: 2 days, 15:09:21 time: 0.4999 data_time: 0.0316 memory: 18108 grad_norm: 3.4360 loss: 5.0724 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.0603 top1_acc_1: 0.4706 top5_acc_1: 0.6706 loss_cls_1: 2.0121 2023/01/31 13:01:57 - mmengine - INFO - Epoch(train) [16][ 100/1879] lr: 4.9846e-02 eta: 2 days, 15:09:04 time: 0.4800 data_time: 0.0389 memory: 18108 grad_norm: 3.4699 loss: 4.8536 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7819 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.0718 2023/01/31 13:02:07 - mmengine - INFO - Epoch(train) [16][ 120/1879] lr: 4.9874e-02 eta: 2 days, 15:08:45 time: 0.4743 data_time: 0.0331 memory: 18108 grad_norm: 3.4339 loss: 4.8800 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8141 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 2.0659 2023/01/31 13:02:17 - mmengine - INFO - Epoch(train) [16][ 140/1879] lr: 4.9902e-02 eta: 2 days, 15:08:30 time: 0.4868 data_time: 0.0438 memory: 18108 grad_norm: 3.4442 loss: 4.9422 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.8304 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 2.1118 2023/01/31 13:02:26 - mmengine - INFO - Epoch(train) [16][ 160/1879] lr: 4.9931e-02 eta: 2 days, 15:08:15 time: 0.4856 data_time: 0.0314 memory: 18108 grad_norm: 3.4877 loss: 5.0250 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.9275 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.0975 2023/01/31 13:02:36 - mmengine - INFO - Epoch(train) [16][ 180/1879] lr: 4.9959e-02 eta: 2 days, 15:07:59 time: 0.4825 data_time: 0.0356 memory: 18108 grad_norm: 3.4184 loss: 5.0989 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.9112 top1_acc_1: 0.4353 top5_acc_1: 0.6824 loss_cls_1: 2.1876 2023/01/31 13:02:45 - mmengine - INFO - Epoch(train) [16][ 200/1879] lr: 4.9987e-02 eta: 2 days, 15:07:40 time: 0.4756 data_time: 0.0309 memory: 18108 grad_norm: 3.4538 loss: 5.1147 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.0219 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 2.0928 2023/01/31 13:02:55 - mmengine - INFO - Epoch(train) [16][ 220/1879] lr: 5.0015e-02 eta: 2 days, 15:07:29 time: 0.4988 data_time: 0.0439 memory: 18108 grad_norm: 3.4735 loss: 4.9481 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8143 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 2.1339 2023/01/31 13:03:05 - mmengine - INFO - Epoch(train) [16][ 240/1879] lr: 5.0043e-02 eta: 2 days, 15:07:10 time: 0.4728 data_time: 0.0309 memory: 18108 grad_norm: 3.4441 loss: 4.9970 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.9837 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 2.0133 2023/01/31 13:03:14 - mmengine - INFO - Epoch(train) [16][ 260/1879] lr: 5.0071e-02 eta: 2 days, 15:06:54 time: 0.4828 data_time: 0.0361 memory: 18108 grad_norm: 3.4344 loss: 4.7977 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6698 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.1279 2023/01/31 13:03:24 - mmengine - INFO - Epoch(train) [16][ 280/1879] lr: 5.0100e-02 eta: 2 days, 15:06:40 time: 0.4903 data_time: 0.0382 memory: 18108 grad_norm: 3.4886 loss: 4.8038 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7172 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.0866 2023/01/31 13:03:34 - mmengine - INFO - Epoch(train) [16][ 300/1879] lr: 5.0128e-02 eta: 2 days, 15:06:24 time: 0.4841 data_time: 0.0385 memory: 18108 grad_norm: 3.4979 loss: 4.9511 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.8755 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 2.0756 2023/01/31 13:03:43 - mmengine - INFO - Epoch(train) [16][ 320/1879] lr: 5.0156e-02 eta: 2 days, 15:06:04 time: 0.4706 data_time: 0.0325 memory: 18108 grad_norm: 3.4795 loss: 5.0928 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9514 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 2.1414 2023/01/31 13:03:53 - mmengine - INFO - Epoch(train) [16][ 340/1879] lr: 5.0184e-02 eta: 2 days, 15:05:49 time: 0.4844 data_time: 0.0369 memory: 18108 grad_norm: 3.4033 loss: 4.9465 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8248 top1_acc_1: 0.5647 top5_acc_1: 0.6824 loss_cls_1: 2.1217 2023/01/31 13:04:03 - mmengine - INFO - Epoch(train) [16][ 360/1879] lr: 5.0212e-02 eta: 2 days, 15:05:34 time: 0.4872 data_time: 0.0394 memory: 18108 grad_norm: 3.4789 loss: 4.8782 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8195 top1_acc_1: 0.4471 top5_acc_1: 0.7059 loss_cls_1: 2.0587 2023/01/31 13:04:12 - mmengine - INFO - Epoch(train) [16][ 380/1879] lr: 5.0240e-02 eta: 2 days, 15:05:16 time: 0.4776 data_time: 0.0369 memory: 18108 grad_norm: 3.4604 loss: 5.1412 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9894 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 2.1518 2023/01/31 13:04:22 - mmengine - INFO - Epoch(train) [16][ 400/1879] lr: 5.0269e-02 eta: 2 days, 15:05:00 time: 0.4820 data_time: 0.0319 memory: 18108 grad_norm: 3.4628 loss: 4.8117 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6895 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 2.1223 2023/01/31 13:04:32 - mmengine - INFO - Epoch(train) [16][ 420/1879] lr: 5.0297e-02 eta: 2 days, 15:04:47 time: 0.4930 data_time: 0.0445 memory: 18108 grad_norm: 3.5398 loss: 5.0117 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8595 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.1522 2023/01/31 13:04:42 - mmengine - INFO - Epoch(train) [16][ 440/1879] lr: 5.0325e-02 eta: 2 days, 15:04:30 time: 0.4812 data_time: 0.0330 memory: 18108 grad_norm: 3.4719 loss: 4.9049 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8983 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 2.0066 2023/01/31 13:04:51 - mmengine - INFO - Epoch(train) [16][ 460/1879] lr: 5.0353e-02 eta: 2 days, 15:04:15 time: 0.4845 data_time: 0.0349 memory: 18108 grad_norm: 3.3875 loss: 4.8285 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7202 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 2.1082 2023/01/31 13:05:01 - mmengine - INFO - Epoch(train) [16][ 480/1879] lr: 5.0381e-02 eta: 2 days, 15:03:56 time: 0.4731 data_time: 0.0313 memory: 18108 grad_norm: 3.4930 loss: 4.8956 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8295 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 2.0660 2023/01/31 13:05:11 - mmengine - INFO - Epoch(train) [16][ 500/1879] lr: 5.0409e-02 eta: 2 days, 15:03:47 time: 0.5072 data_time: 0.0443 memory: 18108 grad_norm: 3.4763 loss: 5.0629 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9924 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.0705 2023/01/31 13:05:21 - mmengine - INFO - Epoch(train) [16][ 520/1879] lr: 5.0438e-02 eta: 2 days, 15:03:36 time: 0.4988 data_time: 0.0387 memory: 18108 grad_norm: 3.5211 loss: 5.1326 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0220 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 2.1106 2023/01/31 13:05:31 - mmengine - INFO - Epoch(train) [16][ 540/1879] lr: 5.0466e-02 eta: 2 days, 15:03:24 time: 0.4967 data_time: 0.0332 memory: 18108 grad_norm: 3.4469 loss: 4.9388 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7821 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.1567 2023/01/31 13:05:41 - mmengine - INFO - Epoch(train) [16][ 560/1879] lr: 5.0494e-02 eta: 2 days, 15:03:14 time: 0.5020 data_time: 0.0435 memory: 18108 grad_norm: 3.4961 loss: 5.2435 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.1804 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 2.0631 2023/01/31 13:05:51 - mmengine - INFO - Epoch(train) [16][ 580/1879] lr: 5.0522e-02 eta: 2 days, 15:03:03 time: 0.4987 data_time: 0.0303 memory: 18108 grad_norm: 3.4395 loss: 4.8692 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6922 top1_acc_1: 0.4353 top5_acc_1: 0.7412 loss_cls_1: 2.1770 2023/01/31 13:06:01 - mmengine - INFO - Epoch(train) [16][ 600/1879] lr: 5.0550e-02 eta: 2 days, 15:02:52 time: 0.4962 data_time: 0.0384 memory: 18108 grad_norm: 3.4929 loss: 5.0469 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8716 top1_acc_1: 0.4235 top5_acc_1: 0.6941 loss_cls_1: 2.1753 2023/01/31 13:06:11 - mmengine - INFO - Epoch(train) [16][ 620/1879] lr: 5.0579e-02 eta: 2 days, 15:02:39 time: 0.4947 data_time: 0.0313 memory: 18108 grad_norm: 3.4489 loss: 4.8047 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.6984 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.1063 2023/01/31 13:06:21 - mmengine - INFO - Epoch(train) [16][ 640/1879] lr: 5.0607e-02 eta: 2 days, 15:02:29 time: 0.5016 data_time: 0.0376 memory: 18108 grad_norm: 3.4839 loss: 5.1410 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9786 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 2.1624 2023/01/31 13:06:31 - mmengine - INFO - Epoch(train) [16][ 660/1879] lr: 5.0635e-02 eta: 2 days, 15:02:18 time: 0.4987 data_time: 0.0296 memory: 18108 grad_norm: 3.4823 loss: 5.1930 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.0679 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.1250 2023/01/31 13:06:40 - mmengine - INFO - Epoch(train) [16][ 680/1879] lr: 5.0663e-02 eta: 2 days, 15:02:05 time: 0.4910 data_time: 0.0404 memory: 18108 grad_norm: 3.5242 loss: 5.3095 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.0933 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.2162 2023/01/31 13:06:51 - mmengine - INFO - Epoch(train) [16][ 700/1879] lr: 5.0691e-02 eta: 2 days, 15:01:58 time: 0.5127 data_time: 0.0368 memory: 18108 grad_norm: 3.4564 loss: 5.0947 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9951 top1_acc_1: 0.5176 top5_acc_1: 0.6941 loss_cls_1: 2.0996 2023/01/31 13:07:01 - mmengine - INFO - Epoch(train) [16][ 720/1879] lr: 5.0719e-02 eta: 2 days, 15:01:47 time: 0.4991 data_time: 0.0360 memory: 18108 grad_norm: 3.4959 loss: 4.8214 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6546 top1_acc_1: 0.4471 top5_acc_1: 0.7176 loss_cls_1: 2.1668 2023/01/31 13:07:11 - mmengine - INFO - Epoch(train) [16][ 740/1879] lr: 5.0748e-02 eta: 2 days, 15:01:36 time: 0.4969 data_time: 0.0285 memory: 18108 grad_norm: 3.4704 loss: 4.9176 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7385 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 2.1791 2023/01/31 13:07:21 - mmengine - INFO - Epoch(train) [16][ 760/1879] lr: 5.0776e-02 eta: 2 days, 15:01:26 time: 0.5036 data_time: 0.0471 memory: 18108 grad_norm: 3.4724 loss: 5.0247 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8522 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.1725 2023/01/31 13:07:31 - mmengine - INFO - Epoch(train) [16][ 780/1879] lr: 5.0804e-02 eta: 2 days, 15:01:21 time: 0.5178 data_time: 0.0287 memory: 18108 grad_norm: 3.4438 loss: 5.0547 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.9852 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.0696 2023/01/31 13:07:41 - mmengine - INFO - Epoch(train) [16][ 800/1879] lr: 5.0832e-02 eta: 2 days, 15:01:11 time: 0.5014 data_time: 0.0364 memory: 18108 grad_norm: 3.4344 loss: 5.0972 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.9768 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.1205 2023/01/31 13:07:48 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 13:07:51 - mmengine - INFO - Epoch(train) [16][ 820/1879] lr: 5.0860e-02 eta: 2 days, 15:01:00 time: 0.4994 data_time: 0.0354 memory: 18108 grad_norm: 3.4428 loss: 4.9561 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.9150 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 2.0410 2023/01/31 13:08:01 - mmengine - INFO - Epoch(train) [16][ 840/1879] lr: 5.0888e-02 eta: 2 days, 15:00:47 time: 0.4937 data_time: 0.0362 memory: 18108 grad_norm: 3.4313 loss: 5.0339 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8729 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 2.1610 2023/01/31 13:08:11 - mmengine - INFO - Epoch(train) [16][ 860/1879] lr: 5.0917e-02 eta: 2 days, 15:00:44 time: 0.5216 data_time: 0.0348 memory: 18108 grad_norm: 3.4055 loss: 5.1214 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.0269 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 2.0945 2023/01/31 13:08:21 - mmengine - INFO - Epoch(train) [16][ 880/1879] lr: 5.0945e-02 eta: 2 days, 15:00:33 time: 0.5016 data_time: 0.0415 memory: 18108 grad_norm: 3.3787 loss: 5.2231 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.9683 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.2548 2023/01/31 13:08:31 - mmengine - INFO - Epoch(train) [16][ 900/1879] lr: 5.0973e-02 eta: 2 days, 15:00:22 time: 0.4986 data_time: 0.0318 memory: 18108 grad_norm: 3.4378 loss: 4.9704 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9395 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 2.0310 2023/01/31 13:08:42 - mmengine - INFO - Epoch(train) [16][ 920/1879] lr: 5.1001e-02 eta: 2 days, 15:00:17 time: 0.5169 data_time: 0.0342 memory: 18108 grad_norm: 3.4450 loss: 4.9964 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9552 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.0413 2023/01/31 13:08:52 - mmengine - INFO - Epoch(train) [16][ 940/1879] lr: 5.1029e-02 eta: 2 days, 15:00:11 time: 0.5155 data_time: 0.0313 memory: 18108 grad_norm: 3.4680 loss: 5.0404 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9890 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 2.0514 2023/01/31 13:09:02 - mmengine - INFO - Epoch(train) [16][ 960/1879] lr: 5.1058e-02 eta: 2 days, 15:00:03 time: 0.5083 data_time: 0.0431 memory: 18108 grad_norm: 3.4924 loss: 5.0184 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8721 top1_acc_1: 0.4706 top5_acc_1: 0.6588 loss_cls_1: 2.1463 2023/01/31 13:09:12 - mmengine - INFO - Epoch(train) [16][ 980/1879] lr: 5.1086e-02 eta: 2 days, 14:59:54 time: 0.5063 data_time: 0.0317 memory: 18108 grad_norm: 3.5000 loss: 5.1610 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 3.0735 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 2.0874 2023/01/31 13:09:23 - mmengine - INFO - Epoch(train) [16][1000/1879] lr: 5.1114e-02 eta: 2 days, 14:59:48 time: 0.5134 data_time: 0.0362 memory: 18108 grad_norm: 3.4465 loss: 5.0828 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.9795 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.1033 2023/01/31 13:09:33 - mmengine - INFO - Epoch(train) [16][1020/1879] lr: 5.1142e-02 eta: 2 days, 14:59:43 time: 0.5191 data_time: 0.0383 memory: 18108 grad_norm: 3.4746 loss: 4.7724 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6233 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 2.1491 2023/01/31 13:09:43 - mmengine - INFO - Epoch(train) [16][1040/1879] lr: 5.1170e-02 eta: 2 days, 14:59:35 time: 0.5074 data_time: 0.0355 memory: 18108 grad_norm: 3.4468 loss: 5.1625 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 3.0479 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.1146 2023/01/31 13:09:53 - mmengine - INFO - Epoch(train) [16][1060/1879] lr: 5.1198e-02 eta: 2 days, 14:59:29 time: 0.5160 data_time: 0.0306 memory: 18108 grad_norm: 3.4823 loss: 5.0928 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8750 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.2178 2023/01/31 13:10:04 - mmengine - INFO - Epoch(train) [16][1080/1879] lr: 5.1227e-02 eta: 2 days, 14:59:24 time: 0.5181 data_time: 0.0429 memory: 18108 grad_norm: 3.4259 loss: 4.5454 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.4664 top1_acc_1: 0.4824 top5_acc_1: 0.6941 loss_cls_1: 2.0789 2023/01/31 13:10:14 - mmengine - INFO - Epoch(train) [16][1100/1879] lr: 5.1255e-02 eta: 2 days, 14:59:18 time: 0.5160 data_time: 0.0304 memory: 18108 grad_norm: 3.4920 loss: 4.9475 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7992 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.1483 2023/01/31 13:10:24 - mmengine - INFO - Epoch(train) [16][1120/1879] lr: 5.1283e-02 eta: 2 days, 14:59:07 time: 0.4984 data_time: 0.0330 memory: 18108 grad_norm: 3.4954 loss: 4.9814 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.8789 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 2.1026 2023/01/31 13:10:35 - mmengine - INFO - Epoch(train) [16][1140/1879] lr: 5.1311e-02 eta: 2 days, 14:59:05 time: 0.5272 data_time: 0.0312 memory: 18108 grad_norm: 3.4638 loss: 5.0491 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.8036 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.2455 2023/01/31 13:10:45 - mmengine - INFO - Epoch(train) [16][1160/1879] lr: 5.1339e-02 eta: 2 days, 14:58:55 time: 0.5038 data_time: 0.0447 memory: 18108 grad_norm: 3.5519 loss: 5.0692 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 3.0071 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 2.0621 2023/01/31 13:10:55 - mmengine - INFO - Epoch(train) [16][1180/1879] lr: 5.1367e-02 eta: 2 days, 14:58:51 time: 0.5191 data_time: 0.0325 memory: 18108 grad_norm: 3.4273 loss: 5.0090 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8451 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.1639 2023/01/31 13:11:05 - mmengine - INFO - Epoch(train) [16][1200/1879] lr: 5.1396e-02 eta: 2 days, 14:58:45 time: 0.5151 data_time: 0.0365 memory: 18108 grad_norm: 3.4486 loss: 4.9356 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8431 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.0925 2023/01/31 13:11:16 - mmengine - INFO - Epoch(train) [16][1220/1879] lr: 5.1424e-02 eta: 2 days, 14:58:40 time: 0.5194 data_time: 0.0315 memory: 18108 grad_norm: 3.4347 loss: 5.1145 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.9541 top1_acc_1: 0.5059 top5_acc_1: 0.6706 loss_cls_1: 2.1605 2023/01/31 13:11:26 - mmengine - INFO - Epoch(train) [16][1240/1879] lr: 5.1452e-02 eta: 2 days, 14:58:31 time: 0.5061 data_time: 0.0343 memory: 18108 grad_norm: 3.4012 loss: 4.8490 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7554 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.0936 2023/01/31 13:11:36 - mmengine - INFO - Epoch(train) [16][1260/1879] lr: 5.1480e-02 eta: 2 days, 14:58:25 time: 0.5158 data_time: 0.0302 memory: 18108 grad_norm: 3.4862 loss: 5.0226 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.9158 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 2.1068 2023/01/31 13:11:46 - mmengine - INFO - Epoch(train) [16][1280/1879] lr: 5.1508e-02 eta: 2 days, 14:58:18 time: 0.5117 data_time: 0.0436 memory: 18108 grad_norm: 3.4596 loss: 5.0935 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.9519 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 2.1416 2023/01/31 13:11:56 - mmengine - INFO - Epoch(train) [16][1300/1879] lr: 5.1537e-02 eta: 2 days, 14:58:07 time: 0.4961 data_time: 0.0301 memory: 18108 grad_norm: 3.4353 loss: 5.0932 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9960 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 2.0972 2023/01/31 13:12:06 - mmengine - INFO - Epoch(train) [16][1320/1879] lr: 5.1565e-02 eta: 2 days, 14:57:55 time: 0.4987 data_time: 0.0358 memory: 18108 grad_norm: 3.3704 loss: 4.8497 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6934 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.1563 2023/01/31 13:12:16 - mmengine - INFO - Epoch(train) [16][1340/1879] lr: 5.1593e-02 eta: 2 days, 14:57:46 time: 0.5041 data_time: 0.0308 memory: 18108 grad_norm: 3.4673 loss: 5.1578 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 3.0973 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 2.0605 2023/01/31 13:12:27 - mmengine - INFO - Epoch(train) [16][1360/1879] lr: 5.1621e-02 eta: 2 days, 14:57:37 time: 0.5045 data_time: 0.0371 memory: 18108 grad_norm: 3.4232 loss: 5.1820 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 3.0015 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.1805 2023/01/31 13:12:37 - mmengine - INFO - Epoch(train) [16][1380/1879] lr: 5.1649e-02 eta: 2 days, 14:57:27 time: 0.5040 data_time: 0.0284 memory: 18108 grad_norm: 3.4277 loss: 4.9597 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.8792 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.0805 2023/01/31 13:12:47 - mmengine - INFO - Epoch(train) [16][1400/1879] lr: 5.1677e-02 eta: 2 days, 14:57:18 time: 0.5056 data_time: 0.0372 memory: 18108 grad_norm: 3.4034 loss: 5.0546 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9359 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.1187 2023/01/31 13:12:57 - mmengine - INFO - Epoch(train) [16][1420/1879] lr: 5.1706e-02 eta: 2 days, 14:57:10 time: 0.5083 data_time: 0.0369 memory: 18108 grad_norm: 3.4323 loss: 4.9102 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7447 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.1656 2023/01/31 13:13:07 - mmengine - INFO - Epoch(train) [16][1440/1879] lr: 5.1734e-02 eta: 2 days, 14:57:00 time: 0.5005 data_time: 0.0399 memory: 18108 grad_norm: 3.4601 loss: 4.8679 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7154 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.1526 2023/01/31 13:13:18 - mmengine - INFO - Epoch(train) [16][1460/1879] lr: 5.1762e-02 eta: 2 days, 14:57:03 time: 0.5444 data_time: 0.0314 memory: 18108 grad_norm: 3.4600 loss: 5.2049 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9495 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 2.2554 2023/01/31 13:13:28 - mmengine - INFO - Epoch(train) [16][1480/1879] lr: 5.1790e-02 eta: 2 days, 14:56:55 time: 0.5095 data_time: 0.0370 memory: 18108 grad_norm: 3.3890 loss: 5.1311 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.9538 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 2.1773 2023/01/31 13:13:39 - mmengine - INFO - Epoch(train) [16][1500/1879] lr: 5.1818e-02 eta: 2 days, 14:56:52 time: 0.5257 data_time: 0.0364 memory: 18108 grad_norm: 3.4450 loss: 5.1128 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.9843 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 2.1284 2023/01/31 13:13:48 - mmengine - INFO - Epoch(train) [16][1520/1879] lr: 5.1846e-02 eta: 2 days, 14:56:40 time: 0.4973 data_time: 0.0402 memory: 18108 grad_norm: 3.3990 loss: 5.1478 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 3.0304 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 2.1174 2023/01/31 13:13:59 - mmengine - INFO - Epoch(train) [16][1540/1879] lr: 5.1875e-02 eta: 2 days, 14:56:32 time: 0.5065 data_time: 0.0297 memory: 18108 grad_norm: 3.3653 loss: 5.0819 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9182 top1_acc_1: 0.4706 top5_acc_1: 0.6824 loss_cls_1: 2.1638 2023/01/31 13:14:09 - mmengine - INFO - Epoch(train) [16][1560/1879] lr: 5.1903e-02 eta: 2 days, 14:56:29 time: 0.5265 data_time: 0.0452 memory: 18108 grad_norm: 3.3727 loss: 5.1211 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.9745 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.1466 2023/01/31 13:14:19 - mmengine - INFO - Epoch(train) [16][1580/1879] lr: 5.1931e-02 eta: 2 days, 14:56:20 time: 0.5068 data_time: 0.0288 memory: 18108 grad_norm: 3.4323 loss: 5.1389 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.9574 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 2.1815 2023/01/31 13:14:29 - mmengine - INFO - Epoch(train) [16][1600/1879] lr: 5.1959e-02 eta: 2 days, 14:56:10 time: 0.5009 data_time: 0.0362 memory: 18108 grad_norm: 3.3766 loss: 4.8966 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8306 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 2.0660 2023/01/31 13:14:40 - mmengine - INFO - Epoch(train) [16][1620/1879] lr: 5.1987e-02 eta: 2 days, 14:56:03 time: 0.5107 data_time: 0.0304 memory: 18108 grad_norm: 3.4261 loss: 5.0939 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9949 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.0991 2023/01/31 13:14:50 - mmengine - INFO - Epoch(train) [16][1640/1879] lr: 5.2015e-02 eta: 2 days, 14:55:55 time: 0.5112 data_time: 0.0438 memory: 18108 grad_norm: 3.4458 loss: 5.1983 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.9864 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.2119 2023/01/31 13:15:00 - mmengine - INFO - Epoch(train) [16][1660/1879] lr: 5.2044e-02 eta: 2 days, 14:55:46 time: 0.5058 data_time: 0.0295 memory: 18108 grad_norm: 3.4463 loss: 5.0985 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.9231 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.1754 2023/01/31 13:15:10 - mmengine - INFO - Epoch(train) [16][1680/1879] lr: 5.2072e-02 eta: 2 days, 14:55:34 time: 0.4928 data_time: 0.0373 memory: 18108 grad_norm: 3.4353 loss: 5.1246 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.9711 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 2.1535 2023/01/31 13:15:39 - mmengine - INFO - Epoch(train) [16][1700/1879] lr: 5.2100e-02 eta: 2 days, 15:00:19 time: 1.4815 data_time: 0.0359 memory: 18108 grad_norm: 3.3336 loss: 4.8980 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7674 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 2.1306 2023/01/31 13:15:49 - mmengine - INFO - Epoch(train) [16][1720/1879] lr: 5.2128e-02 eta: 2 days, 15:00:07 time: 0.4968 data_time: 0.0375 memory: 18108 grad_norm: 3.4709 loss: 5.1987 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.0439 top1_acc_1: 0.4941 top5_acc_1: 0.6471 loss_cls_1: 2.1548 2023/01/31 13:15:59 - mmengine - INFO - Epoch(train) [16][1740/1879] lr: 5.2156e-02 eta: 2 days, 14:59:57 time: 0.5011 data_time: 0.0298 memory: 18108 grad_norm: 3.3905 loss: 4.9933 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7506 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.2428 2023/01/31 13:16:10 - mmengine - INFO - Epoch(train) [16][1760/1879] lr: 5.2185e-02 eta: 2 days, 14:59:49 time: 0.5105 data_time: 0.0458 memory: 18108 grad_norm: 3.4889 loss: 4.9489 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8568 top1_acc_1: 0.4824 top5_acc_1: 0.6941 loss_cls_1: 2.0922 2023/01/31 13:16:20 - mmengine - INFO - Epoch(train) [16][1780/1879] lr: 5.2213e-02 eta: 2 days, 14:59:39 time: 0.5024 data_time: 0.0303 memory: 18108 grad_norm: 3.3959 loss: 5.0009 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.8247 top1_acc_1: 0.4706 top5_acc_1: 0.8118 loss_cls_1: 2.1762 2023/01/31 13:16:29 - mmengine - INFO - Epoch(train) [16][1800/1879] lr: 5.2241e-02 eta: 2 days, 14:59:19 time: 0.4715 data_time: 0.0342 memory: 18108 grad_norm: 3.4308 loss: 4.9949 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8405 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.1544 2023/01/31 13:16:37 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 13:16:39 - mmengine - INFO - Epoch(train) [16][1820/1879] lr: 5.2269e-02 eta: 2 days, 14:59:11 time: 0.5087 data_time: 0.0389 memory: 18108 grad_norm: 3.4742 loss: 5.0064 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.8671 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 2.1393 2023/01/31 13:16:49 - mmengine - INFO - Epoch(train) [16][1840/1879] lr: 5.2297e-02 eta: 2 days, 14:58:58 time: 0.4922 data_time: 0.0436 memory: 18108 grad_norm: 3.4525 loss: 5.0934 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.9654 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 2.1280 2023/01/31 13:16:59 - mmengine - INFO - Epoch(train) [16][1860/1879] lr: 5.2325e-02 eta: 2 days, 14:58:46 time: 0.4972 data_time: 0.0283 memory: 18108 grad_norm: 3.4448 loss: 4.9635 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.7804 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.1831 2023/01/31 13:17:08 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 13:17:08 - mmengine - INFO - Epoch(train) [16][1879/1879] lr: 5.2352e-02 eta: 2 days, 14:58:22 time: 0.4535 data_time: 0.0282 memory: 18108 grad_norm: 3.4797 loss: 5.0804 top1_acc_0: 0.1429 top5_acc_0: 0.7143 loss_cls_0: 2.8876 top1_acc_1: 0.4941 top5_acc_1: 0.6824 loss_cls_1: 2.1928 2023/01/31 13:17:08 - mmengine - INFO - Saving checkpoint at 16 epochs 2023/01/31 13:17:19 - mmengine - INFO - Epoch(val) [16][ 20/155] eta: 0:01:02 time: 0.4614 data_time: 0.3491 memory: 1906 2023/01/31 13:17:27 - mmengine - INFO - Epoch(val) [16][ 40/155] eta: 0:00:51 time: 0.4375 data_time: 0.3262 memory: 1906 2023/01/31 13:17:36 - mmengine - INFO - Epoch(val) [16][ 60/155] eta: 0:00:42 time: 0.4348 data_time: 0.3249 memory: 1906 2023/01/31 13:17:45 - mmengine - INFO - Epoch(val) [16][ 80/155] eta: 0:00:33 time: 0.4610 data_time: 0.3510 memory: 1906 2023/01/31 13:17:54 - mmengine - INFO - Epoch(val) [16][100/155] eta: 0:00:24 time: 0.4501 data_time: 0.3389 memory: 1906 2023/01/31 13:18:04 - mmengine - INFO - Epoch(val) [16][120/155] eta: 0:00:15 time: 0.4663 data_time: 0.3557 memory: 1906 2023/01/31 13:18:12 - mmengine - INFO - Epoch(val) [16][140/155] eta: 0:00:06 time: 0.4435 data_time: 0.3328 memory: 1906 2023/01/31 13:18:20 - mmengine - INFO - Epoch(val) [16][155/155] acc/top1: 0.3926 acc/top5: 0.6527 acc/mean1: 0.3924 2023/01/31 13:18:20 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_12.pth is removed 2023/01/31 13:18:21 - mmengine - INFO - The best checkpoint with 0.3926 acc/top1 at 16 epoch is saved to best_acc/top1_epoch_16.pth. 2023/01/31 13:18:35 - mmengine - INFO - Epoch(train) [17][ 20/1879] lr: 5.2380e-02 eta: 2 days, 14:59:04 time: 0.6747 data_time: 0.2298 memory: 18108 grad_norm: 3.3718 loss: 4.6696 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5613 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 2.1083 2023/01/31 13:18:44 - mmengine - INFO - Epoch(train) [17][ 40/1879] lr: 5.2409e-02 eta: 2 days, 14:58:44 time: 0.4691 data_time: 0.0372 memory: 18108 grad_norm: 3.3954 loss: 4.8658 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7831 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 2.0827 2023/01/31 13:18:54 - mmengine - INFO - Epoch(train) [17][ 60/1879] lr: 5.2437e-02 eta: 2 days, 14:58:27 time: 0.4814 data_time: 0.0307 memory: 18108 grad_norm: 3.3887 loss: 5.1203 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 3.0505 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 2.0699 2023/01/31 13:19:05 - mmengine - INFO - Epoch(train) [17][ 80/1879] lr: 5.2465e-02 eta: 2 days, 14:58:29 time: 0.5418 data_time: 0.0439 memory: 18108 grad_norm: 3.3737 loss: 5.0750 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9762 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 2.0988 2023/01/31 13:19:14 - mmengine - INFO - Epoch(train) [17][ 100/1879] lr: 5.2493e-02 eta: 2 days, 14:58:12 time: 0.4801 data_time: 0.0299 memory: 18108 grad_norm: 3.3964 loss: 4.9436 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8609 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 2.0827 2023/01/31 13:19:24 - mmengine - INFO - Epoch(train) [17][ 120/1879] lr: 5.2521e-02 eta: 2 days, 14:57:55 time: 0.4802 data_time: 0.0374 memory: 18108 grad_norm: 3.4781 loss: 5.0021 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8762 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.1259 2023/01/31 13:19:34 - mmengine - INFO - Epoch(train) [17][ 140/1879] lr: 5.2549e-02 eta: 2 days, 14:57:49 time: 0.5143 data_time: 0.0378 memory: 18108 grad_norm: 3.4187 loss: 4.9429 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8668 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.0761 2023/01/31 13:19:44 - mmengine - INFO - Epoch(train) [17][ 160/1879] lr: 5.2578e-02 eta: 2 days, 14:57:36 time: 0.4945 data_time: 0.0381 memory: 18108 grad_norm: 3.4263 loss: 4.9753 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9040 top1_acc_1: 0.3765 top5_acc_1: 0.6941 loss_cls_1: 2.0713 2023/01/31 13:19:54 - mmengine - INFO - Epoch(train) [17][ 180/1879] lr: 5.2606e-02 eta: 2 days, 14:57:21 time: 0.4851 data_time: 0.0312 memory: 18108 grad_norm: 3.4335 loss: 4.8796 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8119 top1_acc_1: 0.4588 top5_acc_1: 0.7059 loss_cls_1: 2.0677 2023/01/31 13:20:04 - mmengine - INFO - Epoch(train) [17][ 200/1879] lr: 5.2634e-02 eta: 2 days, 14:57:08 time: 0.4943 data_time: 0.0394 memory: 18108 grad_norm: 3.4927 loss: 4.9161 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.8540 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.0621 2023/01/31 13:20:14 - mmengine - INFO - Epoch(train) [17][ 220/1879] lr: 5.2662e-02 eta: 2 days, 14:57:01 time: 0.5115 data_time: 0.0369 memory: 18108 grad_norm: 3.4620 loss: 4.9267 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.8157 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.1110 2023/01/31 13:20:24 - mmengine - INFO - Epoch(train) [17][ 240/1879] lr: 5.2690e-02 eta: 2 days, 14:56:48 time: 0.4946 data_time: 0.0364 memory: 18108 grad_norm: 3.4456 loss: 4.9230 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8288 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.0942 2023/01/31 13:20:34 - mmengine - INFO - Epoch(train) [17][ 260/1879] lr: 5.2718e-02 eta: 2 days, 14:56:37 time: 0.4969 data_time: 0.0307 memory: 18108 grad_norm: 3.4230 loss: 5.0016 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8664 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.1352 2023/01/31 13:20:44 - mmengine - INFO - Epoch(train) [17][ 280/1879] lr: 5.2747e-02 eta: 2 days, 14:56:28 time: 0.5082 data_time: 0.0454 memory: 18108 grad_norm: 3.4038 loss: 4.8832 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8036 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0796 2023/01/31 13:20:54 - mmengine - INFO - Epoch(train) [17][ 300/1879] lr: 5.2775e-02 eta: 2 days, 14:56:18 time: 0.5029 data_time: 0.0296 memory: 18108 grad_norm: 3.4433 loss: 4.8054 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7646 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.0408 2023/01/31 13:21:04 - mmengine - INFO - Epoch(train) [17][ 320/1879] lr: 5.2803e-02 eta: 2 days, 14:56:06 time: 0.4965 data_time: 0.0351 memory: 18108 grad_norm: 3.4149 loss: 4.8888 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.8118 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.0770 2023/01/31 13:21:14 - mmengine - INFO - Epoch(train) [17][ 340/1879] lr: 5.2831e-02 eta: 2 days, 14:56:00 time: 0.5159 data_time: 0.0484 memory: 18108 grad_norm: 3.4006 loss: 5.0818 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.0203 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 2.0615 2023/01/31 13:21:24 - mmengine - INFO - Epoch(train) [17][ 360/1879] lr: 5.2859e-02 eta: 2 days, 14:55:53 time: 0.5119 data_time: 0.0366 memory: 18108 grad_norm: 3.4010 loss: 4.8507 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7989 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.0517 2023/01/31 13:21:34 - mmengine - INFO - Epoch(train) [17][ 380/1879] lr: 5.2888e-02 eta: 2 days, 14:55:39 time: 0.4922 data_time: 0.0297 memory: 18108 grad_norm: 3.4465 loss: 4.8869 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.7952 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.0917 2023/01/31 13:21:44 - mmengine - INFO - Epoch(train) [17][ 400/1879] lr: 5.2916e-02 eta: 2 days, 14:55:28 time: 0.4998 data_time: 0.0405 memory: 18108 grad_norm: 3.4641 loss: 4.7927 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.6765 top1_acc_1: 0.4941 top5_acc_1: 0.8118 loss_cls_1: 2.1162 2023/01/31 13:21:54 - mmengine - INFO - Epoch(train) [17][ 420/1879] lr: 5.2944e-02 eta: 2 days, 14:55:18 time: 0.5005 data_time: 0.0306 memory: 18108 grad_norm: 3.3920 loss: 5.0432 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.8127 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 2.2305 2023/01/31 13:22:04 - mmengine - INFO - Epoch(train) [17][ 440/1879] lr: 5.2972e-02 eta: 2 days, 14:55:10 time: 0.5094 data_time: 0.0347 memory: 18108 grad_norm: 3.4840 loss: 4.8680 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7817 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 2.0863 2023/01/31 13:22:15 - mmengine - INFO - Epoch(train) [17][ 460/1879] lr: 5.3000e-02 eta: 2 days, 14:55:02 time: 0.5125 data_time: 0.0300 memory: 18108 grad_norm: 3.4358 loss: 5.1393 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 3.0391 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.1002 2023/01/31 13:22:25 - mmengine - INFO - Epoch(train) [17][ 480/1879] lr: 5.3028e-02 eta: 2 days, 14:54:56 time: 0.5158 data_time: 0.0430 memory: 18108 grad_norm: 3.3961 loss: 4.8725 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8215 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 2.0510 2023/01/31 13:22:36 - mmengine - INFO - Epoch(train) [17][ 500/1879] lr: 5.3057e-02 eta: 2 days, 14:54:53 time: 0.5255 data_time: 0.0300 memory: 18108 grad_norm: 3.4651 loss: 4.6095 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.5748 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 2.0347 2023/01/31 13:22:46 - mmengine - INFO - Epoch(train) [17][ 520/1879] lr: 5.3085e-02 eta: 2 days, 14:54:44 time: 0.5056 data_time: 0.0337 memory: 18108 grad_norm: 3.3909 loss: 4.6977 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.7178 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.9799 2023/01/31 13:22:56 - mmengine - INFO - Epoch(train) [17][ 540/1879] lr: 5.3113e-02 eta: 2 days, 14:54:35 time: 0.5070 data_time: 0.0361 memory: 18108 grad_norm: 3.4012 loss: 4.8054 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7959 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 2.0095 2023/01/31 13:23:06 - mmengine - INFO - Epoch(train) [17][ 560/1879] lr: 5.3141e-02 eta: 2 days, 14:54:31 time: 0.5254 data_time: 0.0335 memory: 18108 grad_norm: 3.4106 loss: 4.9857 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8495 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.1362 2023/01/31 13:23:16 - mmengine - INFO - Epoch(train) [17][ 580/1879] lr: 5.3169e-02 eta: 2 days, 14:54:22 time: 0.5058 data_time: 0.0308 memory: 18108 grad_norm: 3.5136 loss: 5.1316 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.0393 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 2.0923 2023/01/31 13:23:27 - mmengine - INFO - Epoch(train) [17][ 600/1879] lr: 5.3197e-02 eta: 2 days, 14:54:13 time: 0.5049 data_time: 0.0338 memory: 18108 grad_norm: 3.4161 loss: 5.1004 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.0022 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.0982 2023/01/31 13:23:37 - mmengine - INFO - Epoch(train) [17][ 620/1879] lr: 5.3226e-02 eta: 2 days, 14:54:12 time: 0.5360 data_time: 0.0369 memory: 18108 grad_norm: 3.4388 loss: 5.0074 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.9125 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 2.0949 2023/01/31 13:23:47 - mmengine - INFO - Epoch(train) [17][ 640/1879] lr: 5.3254e-02 eta: 2 days, 14:54:04 time: 0.5094 data_time: 0.0370 memory: 18108 grad_norm: 3.4382 loss: 4.9599 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7522 top1_acc_1: 0.4353 top5_acc_1: 0.6000 loss_cls_1: 2.2077 2023/01/31 13:23:58 - mmengine - INFO - Epoch(train) [17][ 660/1879] lr: 5.3282e-02 eta: 2 days, 14:53:58 time: 0.5159 data_time: 0.0307 memory: 18108 grad_norm: 3.4461 loss: 4.8112 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.7365 top1_acc_1: 0.5765 top5_acc_1: 0.7294 loss_cls_1: 2.0747 2023/01/31 13:24:08 - mmengine - INFO - Epoch(train) [17][ 680/1879] lr: 5.3310e-02 eta: 2 days, 14:53:53 time: 0.5200 data_time: 0.0365 memory: 18108 grad_norm: 3.4481 loss: 4.9912 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 2.9252 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0660 2023/01/31 13:24:19 - mmengine - INFO - Epoch(train) [17][ 700/1879] lr: 5.3338e-02 eta: 2 days, 14:53:49 time: 0.5247 data_time: 0.0297 memory: 18108 grad_norm: 3.4783 loss: 5.1397 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 3.0899 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 2.0498 2023/01/31 13:24:29 - mmengine - INFO - Epoch(train) [17][ 720/1879] lr: 5.3367e-02 eta: 2 days, 14:53:40 time: 0.5034 data_time: 0.0355 memory: 18108 grad_norm: 3.4246 loss: 4.8390 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6355 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.2036 2023/01/31 13:24:39 - mmengine - INFO - Epoch(train) [17][ 740/1879] lr: 5.3395e-02 eta: 2 days, 14:53:31 time: 0.5078 data_time: 0.0310 memory: 18108 grad_norm: 3.4231 loss: 4.8952 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7607 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 2.1344 2023/01/31 13:24:49 - mmengine - INFO - Epoch(train) [17][ 760/1879] lr: 5.3423e-02 eta: 2 days, 14:53:25 time: 0.5172 data_time: 0.0437 memory: 18108 grad_norm: 3.4694 loss: 5.0426 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.9787 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 2.0639 2023/01/31 13:24:59 - mmengine - INFO - Epoch(train) [17][ 780/1879] lr: 5.3451e-02 eta: 2 days, 14:53:17 time: 0.5094 data_time: 0.0302 memory: 18108 grad_norm: 3.4055 loss: 4.8612 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7398 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 2.1214 2023/01/31 13:25:09 - mmengine - INFO - Epoch(train) [17][ 800/1879] lr: 5.3479e-02 eta: 2 days, 14:53:07 time: 0.5040 data_time: 0.0375 memory: 18108 grad_norm: 3.4091 loss: 5.1033 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.0277 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.0757 2023/01/31 13:25:20 - mmengine - INFO - Epoch(train) [17][ 820/1879] lr: 5.3507e-02 eta: 2 days, 14:53:04 time: 0.5265 data_time: 0.0383 memory: 18108 grad_norm: 3.4448 loss: 4.9229 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7731 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 2.1498 2023/01/31 13:25:30 - mmengine - INFO - Epoch(train) [17][ 840/1879] lr: 5.3536e-02 eta: 2 days, 14:52:56 time: 0.5114 data_time: 0.0344 memory: 18108 grad_norm: 3.4304 loss: 5.0973 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9464 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 2.1509 2023/01/31 13:25:41 - mmengine - INFO - Epoch(train) [17][ 860/1879] lr: 5.3564e-02 eta: 2 days, 14:52:51 time: 0.5201 data_time: 0.0319 memory: 18108 grad_norm: 3.3986 loss: 4.8998 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8205 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 2.0793 2023/01/31 13:25:51 - mmengine - INFO - Epoch(train) [17][ 880/1879] lr: 5.3592e-02 eta: 2 days, 14:52:45 time: 0.5147 data_time: 0.0358 memory: 18108 grad_norm: 3.4360 loss: 4.8681 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7325 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 2.1356 2023/01/31 13:26:01 - mmengine - INFO - Epoch(train) [17][ 900/1879] lr: 5.3620e-02 eta: 2 days, 14:52:37 time: 0.5130 data_time: 0.0305 memory: 18108 grad_norm: 3.4215 loss: 4.7871 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.8874 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.8998 2023/01/31 13:26:11 - mmengine - INFO - Epoch(train) [17][ 920/1879] lr: 5.3648e-02 eta: 2 days, 14:52:27 time: 0.5008 data_time: 0.0363 memory: 18108 grad_norm: 3.3959 loss: 5.1514 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.0075 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.1439 2023/01/31 13:26:20 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 13:26:22 - mmengine - INFO - Epoch(train) [17][ 940/1879] lr: 5.3676e-02 eta: 2 days, 14:52:20 time: 0.5153 data_time: 0.0296 memory: 18108 grad_norm: 3.3752 loss: 5.0208 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9038 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.1170 2023/01/31 13:26:32 - mmengine - INFO - Epoch(train) [17][ 960/1879] lr: 5.3705e-02 eta: 2 days, 14:52:13 time: 0.5112 data_time: 0.0472 memory: 18108 grad_norm: 3.4114 loss: 5.1913 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.1001 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 2.0912 2023/01/31 13:26:42 - mmengine - INFO - Epoch(train) [17][ 980/1879] lr: 5.3733e-02 eta: 2 days, 14:52:01 time: 0.4976 data_time: 0.0295 memory: 18108 grad_norm: 3.4252 loss: 5.1493 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.0793 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.0700 2023/01/31 13:26:52 - mmengine - INFO - Epoch(train) [17][1000/1879] lr: 5.3761e-02 eta: 2 days, 14:51:51 time: 0.5042 data_time: 0.0357 memory: 18108 grad_norm: 3.4285 loss: 5.0373 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9770 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.0603 2023/01/31 13:27:02 - mmengine - INFO - Epoch(train) [17][1020/1879] lr: 5.3789e-02 eta: 2 days, 14:51:44 time: 0.5110 data_time: 0.0387 memory: 18108 grad_norm: 3.3898 loss: 5.0882 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9269 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.1613 2023/01/31 13:27:12 - mmengine - INFO - Epoch(train) [17][1040/1879] lr: 5.3817e-02 eta: 2 days, 14:51:34 time: 0.5046 data_time: 0.0381 memory: 18108 grad_norm: 3.4576 loss: 5.1752 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9965 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.1787 2023/01/31 13:27:22 - mmengine - INFO - Epoch(train) [17][1060/1879] lr: 5.3846e-02 eta: 2 days, 14:51:26 time: 0.5098 data_time: 0.0298 memory: 18108 grad_norm: 3.4671 loss: 4.9861 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.9213 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 2.0649 2023/01/31 13:27:32 - mmengine - INFO - Epoch(train) [17][1080/1879] lr: 5.3874e-02 eta: 2 days, 14:51:17 time: 0.5064 data_time: 0.0356 memory: 18108 grad_norm: 3.3825 loss: 4.9172 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8262 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0910 2023/01/31 13:27:42 - mmengine - INFO - Epoch(train) [17][1100/1879] lr: 5.3902e-02 eta: 2 days, 14:51:03 time: 0.4910 data_time: 0.0333 memory: 18108 grad_norm: 3.4101 loss: 5.2013 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.0976 top1_acc_1: 0.5529 top5_acc_1: 0.8706 loss_cls_1: 2.1037 2023/01/31 13:27:52 - mmengine - INFO - Epoch(train) [17][1120/1879] lr: 5.3930e-02 eta: 2 days, 14:50:51 time: 0.4959 data_time: 0.0357 memory: 18108 grad_norm: 3.4185 loss: 5.0027 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9402 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 2.0625 2023/01/31 13:28:02 - mmengine - INFO - Epoch(train) [17][1140/1879] lr: 5.3958e-02 eta: 2 days, 14:50:41 time: 0.5005 data_time: 0.0308 memory: 18108 grad_norm: 3.4128 loss: 5.0392 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.9059 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 2.1333 2023/01/31 13:28:12 - mmengine - INFO - Epoch(train) [17][1160/1879] lr: 5.3986e-02 eta: 2 days, 14:50:31 time: 0.5040 data_time: 0.0455 memory: 18108 grad_norm: 3.3861 loss: 4.8939 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.8091 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.0848 2023/01/31 13:28:22 - mmengine - INFO - Epoch(train) [17][1180/1879] lr: 5.4015e-02 eta: 2 days, 14:50:18 time: 0.4929 data_time: 0.0307 memory: 18108 grad_norm: 3.4137 loss: 4.9966 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.9188 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 2.0778 2023/01/31 13:28:32 - mmengine - INFO - Epoch(train) [17][1200/1879] lr: 5.4043e-02 eta: 2 days, 14:50:07 time: 0.4992 data_time: 0.0364 memory: 18108 grad_norm: 3.3808 loss: 5.0665 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8834 top1_acc_1: 0.4588 top5_acc_1: 0.8235 loss_cls_1: 2.1830 2023/01/31 13:28:42 - mmengine - INFO - Epoch(train) [17][1220/1879] lr: 5.4071e-02 eta: 2 days, 14:49:56 time: 0.5015 data_time: 0.0309 memory: 18108 grad_norm: 3.3699 loss: 4.7551 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.5858 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 2.1694 2023/01/31 13:28:52 - mmengine - INFO - Epoch(train) [17][1240/1879] lr: 5.4099e-02 eta: 2 days, 14:49:49 time: 0.5121 data_time: 0.0464 memory: 18108 grad_norm: 3.3942 loss: 4.7386 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7157 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 2.0230 2023/01/31 13:29:02 - mmengine - INFO - Epoch(train) [17][1260/1879] lr: 5.4127e-02 eta: 2 days, 14:49:39 time: 0.5030 data_time: 0.0305 memory: 18108 grad_norm: 3.4227 loss: 4.8983 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.7204 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 2.1779 2023/01/31 13:29:13 - mmengine - INFO - Epoch(train) [17][1280/1879] lr: 5.4155e-02 eta: 2 days, 14:49:34 time: 0.5202 data_time: 0.0361 memory: 18108 grad_norm: 3.4353 loss: 5.1973 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 3.0073 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.1900 2023/01/31 13:29:23 - mmengine - INFO - Epoch(train) [17][1300/1879] lr: 5.4184e-02 eta: 2 days, 14:49:23 time: 0.5013 data_time: 0.0395 memory: 18108 grad_norm: 3.4265 loss: 4.9356 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8356 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 2.1000 2023/01/31 13:29:33 - mmengine - INFO - Epoch(train) [17][1320/1879] lr: 5.4212e-02 eta: 2 days, 14:49:14 time: 0.5054 data_time: 0.0379 memory: 18108 grad_norm: 3.4068 loss: 5.2498 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.2131 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 2.0367 2023/01/31 13:29:43 - mmengine - INFO - Epoch(train) [17][1340/1879] lr: 5.4240e-02 eta: 2 days, 14:49:04 time: 0.5037 data_time: 0.0294 memory: 18108 grad_norm: 3.4097 loss: 5.0214 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8707 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 2.1507 2023/01/31 13:29:53 - mmengine - INFO - Epoch(train) [17][1360/1879] lr: 5.4268e-02 eta: 2 days, 14:48:55 time: 0.5069 data_time: 0.0356 memory: 18108 grad_norm: 3.3831 loss: 4.8988 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.7693 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.1295 2023/01/31 13:30:03 - mmengine - INFO - Epoch(train) [17][1380/1879] lr: 5.4296e-02 eta: 2 days, 14:48:47 time: 0.5120 data_time: 0.0404 memory: 18108 grad_norm: 3.3834 loss: 4.9933 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8462 top1_acc_1: 0.4235 top5_acc_1: 0.6941 loss_cls_1: 2.1471 2023/01/31 13:30:13 - mmengine - INFO - Epoch(train) [17][1400/1879] lr: 5.4324e-02 eta: 2 days, 14:48:36 time: 0.4979 data_time: 0.0364 memory: 18108 grad_norm: 3.3618 loss: 4.8370 top1_acc_0: 0.1875 top5_acc_0: 0.7500 loss_cls_0: 2.7600 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.0770 2023/01/31 13:30:24 - mmengine - INFO - Epoch(train) [17][1420/1879] lr: 5.4353e-02 eta: 2 days, 14:48:27 time: 0.5087 data_time: 0.0296 memory: 18108 grad_norm: 3.4382 loss: 5.0004 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.8617 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 2.1387 2023/01/31 13:30:34 - mmengine - INFO - Epoch(train) [17][1440/1879] lr: 5.4381e-02 eta: 2 days, 14:48:21 time: 0.5138 data_time: 0.0461 memory: 18108 grad_norm: 3.4938 loss: 5.1116 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.9322 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.1794 2023/01/31 13:30:44 - mmengine - INFO - Epoch(train) [17][1460/1879] lr: 5.4409e-02 eta: 2 days, 14:48:09 time: 0.4980 data_time: 0.0310 memory: 18108 grad_norm: 3.3540 loss: 4.9551 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8167 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.1384 2023/01/31 13:30:54 - mmengine - INFO - Epoch(train) [17][1480/1879] lr: 5.4437e-02 eta: 2 days, 14:48:02 time: 0.5144 data_time: 0.0360 memory: 18108 grad_norm: 3.4025 loss: 4.9849 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8870 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 2.0979 2023/01/31 13:31:04 - mmengine - INFO - Epoch(train) [17][1500/1879] lr: 5.4465e-02 eta: 2 days, 14:47:53 time: 0.5047 data_time: 0.0302 memory: 18108 grad_norm: 3.4025 loss: 5.0553 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.8817 top1_acc_1: 0.5882 top5_acc_1: 0.7294 loss_cls_1: 2.1736 2023/01/31 13:31:14 - mmengine - INFO - Epoch(train) [17][1520/1879] lr: 5.4494e-02 eta: 2 days, 14:47:45 time: 0.5118 data_time: 0.0440 memory: 18108 grad_norm: 3.3971 loss: 4.8815 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.8025 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 2.0790 2023/01/31 13:31:24 - mmengine - INFO - Epoch(train) [17][1540/1879] lr: 5.4522e-02 eta: 2 days, 14:47:34 time: 0.4983 data_time: 0.0310 memory: 18108 grad_norm: 3.4005 loss: 4.8002 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8139 top1_acc_1: 0.4235 top5_acc_1: 0.7059 loss_cls_1: 1.9863 2023/01/31 13:31:35 - mmengine - INFO - Epoch(train) [17][1560/1879] lr: 5.4550e-02 eta: 2 days, 14:47:25 time: 0.5072 data_time: 0.0362 memory: 18108 grad_norm: 3.4167 loss: 4.8103 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6970 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.1133 2023/01/31 13:31:45 - mmengine - INFO - Epoch(train) [17][1580/1879] lr: 5.4578e-02 eta: 2 days, 14:47:18 time: 0.5135 data_time: 0.0317 memory: 18108 grad_norm: 3.3449 loss: 5.0480 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8823 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 2.1657 2023/01/31 13:31:55 - mmengine - INFO - Epoch(train) [17][1600/1879] lr: 5.4606e-02 eta: 2 days, 14:47:06 time: 0.4968 data_time: 0.0348 memory: 18108 grad_norm: 3.3364 loss: 4.9960 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8799 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.1162 2023/01/31 13:32:05 - mmengine - INFO - Epoch(train) [17][1620/1879] lr: 5.4634e-02 eta: 2 days, 14:47:01 time: 0.5200 data_time: 0.0320 memory: 18108 grad_norm: 3.3842 loss: 5.0179 top1_acc_0: 0.0000 top5_acc_0: 0.4375 loss_cls_0: 2.9452 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 2.0727 2023/01/31 13:32:15 - mmengine - INFO - Epoch(train) [17][1640/1879] lr: 5.4663e-02 eta: 2 days, 14:46:48 time: 0.4938 data_time: 0.0362 memory: 18108 grad_norm: 3.3914 loss: 4.8953 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.6946 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 2.2007 2023/01/31 13:32:25 - mmengine - INFO - Epoch(train) [17][1660/1879] lr: 5.4691e-02 eta: 2 days, 14:46:43 time: 0.5189 data_time: 0.0472 memory: 18108 grad_norm: 3.3980 loss: 5.1649 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 3.0443 top1_acc_1: 0.4353 top5_acc_1: 0.7294 loss_cls_1: 2.1206 2023/01/31 13:32:35 - mmengine - INFO - Epoch(train) [17][1680/1879] lr: 5.4719e-02 eta: 2 days, 14:46:29 time: 0.4911 data_time: 0.0365 memory: 18108 grad_norm: 3.3885 loss: 5.0463 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.9270 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 2.1193 2023/01/31 13:32:46 - mmengine - INFO - Epoch(train) [17][1700/1879] lr: 5.4747e-02 eta: 2 days, 14:46:22 time: 0.5124 data_time: 0.0304 memory: 18108 grad_norm: 3.3491 loss: 5.0174 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8228 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.1946 2023/01/31 13:32:55 - mmengine - INFO - Epoch(train) [17][1720/1879] lr: 5.4775e-02 eta: 2 days, 14:46:10 time: 0.4958 data_time: 0.0415 memory: 18108 grad_norm: 3.3730 loss: 4.9455 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7673 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.1782 2023/01/31 13:33:06 - mmengine - INFO - Epoch(train) [17][1740/1879] lr: 5.4803e-02 eta: 2 days, 14:46:02 time: 0.5109 data_time: 0.0304 memory: 18108 grad_norm: 3.4305 loss: 4.8435 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.7634 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 2.0800 2023/01/31 13:33:16 - mmengine - INFO - Epoch(train) [17][1760/1879] lr: 5.4832e-02 eta: 2 days, 14:45:56 time: 0.5195 data_time: 0.0331 memory: 18108 grad_norm: 3.3718 loss: 4.8079 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6848 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 2.1232 2023/01/31 13:33:26 - mmengine - INFO - Epoch(train) [17][1780/1879] lr: 5.4860e-02 eta: 2 days, 14:45:47 time: 0.5042 data_time: 0.0312 memory: 18108 grad_norm: 3.3539 loss: 5.0601 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.9310 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 2.1290 2023/01/31 13:33:36 - mmengine - INFO - Epoch(train) [17][1800/1879] lr: 5.4888e-02 eta: 2 days, 14:45:35 time: 0.4975 data_time: 0.0421 memory: 18108 grad_norm: 3.4302 loss: 4.7661 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.5699 top1_acc_1: 0.5882 top5_acc_1: 0.7176 loss_cls_1: 2.1962 2023/01/31 13:33:47 - mmengine - INFO - Epoch(train) [17][1820/1879] lr: 5.4916e-02 eta: 2 days, 14:45:32 time: 0.5284 data_time: 0.0317 memory: 18108 grad_norm: 3.3748 loss: 4.8772 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.7884 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 2.0888 2023/01/31 13:33:57 - mmengine - INFO - Epoch(train) [17][1840/1879] lr: 5.4944e-02 eta: 2 days, 14:45:20 time: 0.4951 data_time: 0.0351 memory: 18108 grad_norm: 3.3839 loss: 5.0481 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.9606 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 2.0876 2023/01/31 13:34:07 - mmengine - INFO - Epoch(train) [17][1860/1879] lr: 5.4973e-02 eta: 2 days, 14:45:12 time: 0.5099 data_time: 0.0400 memory: 18108 grad_norm: 3.4254 loss: 4.8435 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5857 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.2578 2023/01/31 13:34:16 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 13:34:16 - mmengine - INFO - Epoch(train) [17][1879/1879] lr: 5.4999e-02 eta: 2 days, 14:44:56 time: 0.4801 data_time: 0.0325 memory: 18108 grad_norm: 3.5032 loss: 5.0460 top1_acc_0: 0.4286 top5_acc_0: 0.5714 loss_cls_0: 2.8708 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 2.1752 2023/01/31 13:34:31 - mmengine - INFO - Epoch(train) [18][ 20/1879] lr: 5.5027e-02 eta: 2 days, 14:45:44 time: 0.7067 data_time: 0.2664 memory: 18108 grad_norm: 3.3716 loss: 4.7255 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6746 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.0509 2023/01/31 13:34:40 - mmengine - INFO - Epoch(train) [18][ 40/1879] lr: 5.5056e-02 eta: 2 days, 14:45:24 time: 0.4685 data_time: 0.0321 memory: 18108 grad_norm: 3.3602 loss: 4.8262 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8552 top1_acc_1: 0.5647 top5_acc_1: 0.8941 loss_cls_1: 1.9710 2023/01/31 13:34:48 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 13:34:50 - mmengine - INFO - Epoch(train) [18][ 60/1879] lr: 5.5084e-02 eta: 2 days, 14:45:11 time: 0.4931 data_time: 0.0366 memory: 18108 grad_norm: 3.4086 loss: 4.9364 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7896 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.1468 2023/01/31 13:35:00 - mmengine - INFO - Epoch(train) [18][ 80/1879] lr: 5.5112e-02 eta: 2 days, 14:44:59 time: 0.4960 data_time: 0.0303 memory: 18108 grad_norm: 3.3773 loss: 4.9044 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.9274 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9771 2023/01/31 13:35:10 - mmengine - INFO - Epoch(train) [18][ 100/1879] lr: 5.5140e-02 eta: 2 days, 14:44:41 time: 0.4752 data_time: 0.0366 memory: 18108 grad_norm: 3.4005 loss: 5.1628 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 3.0355 top1_acc_1: 0.3647 top5_acc_1: 0.6941 loss_cls_1: 2.1273 2023/01/31 13:35:19 - mmengine - INFO - Epoch(train) [18][ 120/1879] lr: 5.5168e-02 eta: 2 days, 14:44:20 time: 0.4647 data_time: 0.0321 memory: 18108 grad_norm: 3.4069 loss: 4.9163 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9131 top1_acc_1: 0.6118 top5_acc_1: 0.7529 loss_cls_1: 2.0033 2023/01/31 13:35:29 - mmengine - INFO - Epoch(train) [18][ 140/1879] lr: 5.5197e-02 eta: 2 days, 14:44:10 time: 0.5017 data_time: 0.0359 memory: 18108 grad_norm: 3.3902 loss: 5.0451 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.8917 top1_acc_1: 0.4353 top5_acc_1: 0.7176 loss_cls_1: 2.1534 2023/01/31 13:35:38 - mmengine - INFO - Epoch(train) [18][ 160/1879] lr: 5.5225e-02 eta: 2 days, 14:43:52 time: 0.4745 data_time: 0.0339 memory: 18108 grad_norm: 3.3958 loss: 5.1260 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9824 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.1435 2023/01/31 13:35:48 - mmengine - INFO - Epoch(train) [18][ 180/1879] lr: 5.5253e-02 eta: 2 days, 14:43:34 time: 0.4754 data_time: 0.0360 memory: 18108 grad_norm: 3.3838 loss: 4.8872 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7765 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.1106 2023/01/31 13:35:57 - mmengine - INFO - Epoch(train) [18][ 200/1879] lr: 5.5281e-02 eta: 2 days, 14:43:14 time: 0.4663 data_time: 0.0306 memory: 18108 grad_norm: 3.4066 loss: 4.9728 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.8959 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.0769 2023/01/31 13:36:07 - mmengine - INFO - Epoch(train) [18][ 220/1879] lr: 5.5309e-02 eta: 2 days, 14:43:03 time: 0.5000 data_time: 0.0476 memory: 18108 grad_norm: 3.3813 loss: 4.9221 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8807 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 2.0413 2023/01/31 13:36:17 - mmengine - INFO - Epoch(train) [18][ 240/1879] lr: 5.5337e-02 eta: 2 days, 14:42:44 time: 0.4739 data_time: 0.0319 memory: 18108 grad_norm: 3.3692 loss: 4.8663 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8078 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 2.0585 2023/01/31 13:36:27 - mmengine - INFO - Epoch(train) [18][ 260/1879] lr: 5.5366e-02 eta: 2 days, 14:42:31 time: 0.4923 data_time: 0.0363 memory: 18108 grad_norm: 3.3371 loss: 4.9688 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.9099 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.0589 2023/01/31 13:36:36 - mmengine - INFO - Epoch(train) [18][ 280/1879] lr: 5.5394e-02 eta: 2 days, 14:42:12 time: 0.4704 data_time: 0.0337 memory: 18108 grad_norm: 3.3624 loss: 4.8862 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.9038 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9824 2023/01/31 13:36:46 - mmengine - INFO - Epoch(train) [18][ 300/1879] lr: 5.5422e-02 eta: 2 days, 14:42:00 time: 0.4941 data_time: 0.0434 memory: 18108 grad_norm: 3.3658 loss: 4.9125 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8524 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 2.0600 2023/01/31 13:36:55 - mmengine - INFO - Epoch(train) [18][ 320/1879] lr: 5.5450e-02 eta: 2 days, 14:41:42 time: 0.4755 data_time: 0.0315 memory: 18108 grad_norm: 3.4306 loss: 4.9649 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.9712 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9937 2023/01/31 13:37:05 - mmengine - INFO - Epoch(train) [18][ 340/1879] lr: 5.5478e-02 eta: 2 days, 14:41:30 time: 0.4973 data_time: 0.0359 memory: 18108 grad_norm: 3.3939 loss: 4.8454 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7848 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.0606 2023/01/31 13:37:15 - mmengine - INFO - Epoch(train) [18][ 360/1879] lr: 5.5506e-02 eta: 2 days, 14:41:13 time: 0.4749 data_time: 0.0394 memory: 18108 grad_norm: 3.3502 loss: 4.7224 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.6431 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 2.0793 2023/01/31 13:37:25 - mmengine - INFO - Epoch(train) [18][ 380/1879] lr: 5.5535e-02 eta: 2 days, 14:41:00 time: 0.4927 data_time: 0.0357 memory: 18108 grad_norm: 3.4101 loss: 5.0295 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8858 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.1437 2023/01/31 13:37:34 - mmengine - INFO - Epoch(train) [18][ 400/1879] lr: 5.5563e-02 eta: 2 days, 14:40:43 time: 0.4776 data_time: 0.0321 memory: 18108 grad_norm: 3.3820 loss: 4.8140 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.7728 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.0413 2023/01/31 13:37:44 - mmengine - INFO - Epoch(train) [18][ 420/1879] lr: 5.5591e-02 eta: 2 days, 14:40:29 time: 0.4898 data_time: 0.0362 memory: 18108 grad_norm: 3.3553 loss: 4.8156 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8564 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 1.9592 2023/01/31 13:37:54 - mmengine - INFO - Epoch(train) [18][ 440/1879] lr: 5.5619e-02 eta: 2 days, 14:40:11 time: 0.4762 data_time: 0.0400 memory: 18108 grad_norm: 3.4720 loss: 4.9274 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8250 top1_acc_1: 0.4588 top5_acc_1: 0.6706 loss_cls_1: 2.1025 2023/01/31 13:38:03 - mmengine - INFO - Epoch(train) [18][ 460/1879] lr: 5.5647e-02 eta: 2 days, 14:40:00 time: 0.4966 data_time: 0.0354 memory: 18108 grad_norm: 3.3997 loss: 5.0483 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.0068 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.0415 2023/01/31 13:38:14 - mmengine - INFO - Epoch(train) [18][ 480/1879] lr: 5.5676e-02 eta: 2 days, 14:39:50 time: 0.5057 data_time: 0.0385 memory: 18108 grad_norm: 3.3619 loss: 4.9361 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7950 top1_acc_1: 0.4706 top5_acc_1: 0.8000 loss_cls_1: 2.1411 2023/01/31 13:39:43 - mmengine - INFO - Epoch(train) [18][ 500/1879] lr: 5.5704e-02 eta: 2 days, 14:57:56 time: 4.4655 data_time: 0.0354 memory: 18108 grad_norm: 3.3802 loss: 5.1992 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 3.0460 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 2.1533 2023/01/31 13:39:53 - mmengine - INFO - Epoch(train) [18][ 520/1879] lr: 5.5732e-02 eta: 2 days, 14:57:45 time: 0.5009 data_time: 0.0393 memory: 18108 grad_norm: 3.3832 loss: 5.1019 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.9753 top1_acc_1: 0.4941 top5_acc_1: 0.6941 loss_cls_1: 2.1266 2023/01/31 13:40:03 - mmengine - INFO - Epoch(train) [18][ 540/1879] lr: 5.5760e-02 eta: 2 days, 14:57:37 time: 0.5151 data_time: 0.0296 memory: 18108 grad_norm: 3.4075 loss: 5.0290 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9263 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 2.1026 2023/01/31 13:40:13 - mmengine - INFO - Epoch(train) [18][ 560/1879] lr: 5.5788e-02 eta: 2 days, 14:57:26 time: 0.4999 data_time: 0.0384 memory: 18108 grad_norm: 3.4172 loss: 4.7989 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.7611 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 2.0378 2023/01/31 13:40:23 - mmengine - INFO - Epoch(train) [18][ 580/1879] lr: 5.5816e-02 eta: 2 days, 14:57:14 time: 0.4995 data_time: 0.0312 memory: 18108 grad_norm: 3.3228 loss: 4.7935 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7279 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 2.0657 2023/01/31 13:40:33 - mmengine - INFO - Epoch(train) [18][ 600/1879] lr: 5.5845e-02 eta: 2 days, 14:57:03 time: 0.5032 data_time: 0.0377 memory: 18108 grad_norm: 3.3633 loss: 4.8582 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.7392 top1_acc_1: 0.4353 top5_acc_1: 0.7294 loss_cls_1: 2.1190 2023/01/31 13:41:04 - mmengine - INFO - Epoch(train) [18][ 620/1879] lr: 5.5873e-02 eta: 2 days, 15:01:42 time: 1.5544 data_time: 0.0309 memory: 18108 grad_norm: 3.4213 loss: 5.1569 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9217 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.2352 2023/01/31 13:41:14 - mmengine - INFO - Epoch(train) [18][ 640/1879] lr: 5.5901e-02 eta: 2 days, 15:01:32 time: 0.5043 data_time: 0.0460 memory: 18108 grad_norm: 3.4246 loss: 4.8807 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.7845 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 2.0963 2023/01/31 13:41:25 - mmengine - INFO - Epoch(train) [18][ 660/1879] lr: 5.5929e-02 eta: 2 days, 15:01:22 time: 0.5081 data_time: 0.0278 memory: 18108 grad_norm: 3.3837 loss: 4.9109 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8994 top1_acc_1: 0.4235 top5_acc_1: 0.7412 loss_cls_1: 2.0115 2023/01/31 13:41:35 - mmengine - INFO - Epoch(train) [18][ 680/1879] lr: 5.5957e-02 eta: 2 days, 15:01:10 time: 0.4994 data_time: 0.0363 memory: 18108 grad_norm: 3.3480 loss: 5.0838 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.8950 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 2.1888 2023/01/31 13:41:45 - mmengine - INFO - Epoch(train) [18][ 700/1879] lr: 5.5985e-02 eta: 2 days, 15:01:01 time: 0.5079 data_time: 0.0358 memory: 18108 grad_norm: 3.4189 loss: 4.7526 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7029 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0497 2023/01/31 13:41:55 - mmengine - INFO - Epoch(train) [18][ 720/1879] lr: 5.6014e-02 eta: 2 days, 15:00:50 time: 0.5028 data_time: 0.0370 memory: 18108 grad_norm: 3.3577 loss: 4.8312 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7727 top1_acc_1: 0.4118 top5_acc_1: 0.6824 loss_cls_1: 2.0585 2023/01/31 13:42:05 - mmengine - INFO - Epoch(train) [18][ 740/1879] lr: 5.6042e-02 eta: 2 days, 15:00:39 time: 0.5037 data_time: 0.0291 memory: 18108 grad_norm: 3.4739 loss: 5.0206 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.9642 top1_acc_1: 0.5765 top5_acc_1: 0.7059 loss_cls_1: 2.0563 2023/01/31 13:42:15 - mmengine - INFO - Epoch(train) [18][ 760/1879] lr: 5.6070e-02 eta: 2 days, 15:00:28 time: 0.5032 data_time: 0.0429 memory: 18108 grad_norm: 3.3808 loss: 4.8409 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.8179 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 2.0230 2023/01/31 13:42:25 - mmengine - INFO - Epoch(train) [18][ 780/1879] lr: 5.6098e-02 eta: 2 days, 15:00:17 time: 0.5025 data_time: 0.0296 memory: 18108 grad_norm: 3.3297 loss: 5.1861 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.1272 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 2.0590 2023/01/31 13:42:35 - mmengine - INFO - Epoch(train) [18][ 800/1879] lr: 5.6126e-02 eta: 2 days, 15:00:05 time: 0.5002 data_time: 0.0376 memory: 18108 grad_norm: 3.3989 loss: 5.0912 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9284 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.1627 2023/01/31 13:42:45 - mmengine - INFO - Epoch(train) [18][ 820/1879] lr: 5.6154e-02 eta: 2 days, 14:59:53 time: 0.4999 data_time: 0.0296 memory: 18108 grad_norm: 3.3836 loss: 4.8795 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8304 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0490 2023/01/31 13:42:55 - mmengine - INFO - Epoch(train) [18][ 840/1879] lr: 5.6183e-02 eta: 2 days, 14:59:43 time: 0.5045 data_time: 0.0441 memory: 18108 grad_norm: 3.4384 loss: 5.0198 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8759 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.1438 2023/01/31 13:43:05 - mmengine - INFO - Epoch(train) [18][ 860/1879] lr: 5.6211e-02 eta: 2 days, 14:59:35 time: 0.5135 data_time: 0.0294 memory: 18108 grad_norm: 3.3683 loss: 5.1441 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.9673 top1_acc_1: 0.4000 top5_acc_1: 0.6588 loss_cls_1: 2.1768 2023/01/31 13:43:16 - mmengine - INFO - Epoch(train) [18][ 880/1879] lr: 5.6239e-02 eta: 2 days, 14:59:28 time: 0.5192 data_time: 0.0378 memory: 18108 grad_norm: 3.3729 loss: 5.0995 top1_acc_0: 0.0625 top5_acc_0: 0.4375 loss_cls_0: 2.9265 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 2.1730 2023/01/31 13:43:26 - mmengine - INFO - Epoch(train) [18][ 900/1879] lr: 5.6267e-02 eta: 2 days, 14:59:19 time: 0.5088 data_time: 0.0278 memory: 18108 grad_norm: 3.3511 loss: 4.9680 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7552 top1_acc_1: 0.4235 top5_acc_1: 0.7529 loss_cls_1: 2.2128 2023/01/31 13:43:36 - mmengine - INFO - Epoch(train) [18][ 920/1879] lr: 5.6295e-02 eta: 2 days, 14:59:11 time: 0.5148 data_time: 0.0361 memory: 18108 grad_norm: 3.3743 loss: 4.8903 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 2.8576 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 2.0327 2023/01/31 13:43:46 - mmengine - INFO - Epoch(train) [18][ 940/1879] lr: 5.6324e-02 eta: 2 days, 14:59:01 time: 0.5065 data_time: 0.0285 memory: 18108 grad_norm: 3.3657 loss: 4.8237 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8425 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9811 2023/01/31 13:43:57 - mmengine - INFO - Epoch(train) [18][ 960/1879] lr: 5.6352e-02 eta: 2 days, 14:58:55 time: 0.5211 data_time: 0.0428 memory: 18108 grad_norm: 3.3618 loss: 5.1527 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.0884 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.0643 2023/01/31 13:44:07 - mmengine - INFO - Epoch(train) [18][ 980/1879] lr: 5.6380e-02 eta: 2 days, 14:58:49 time: 0.5186 data_time: 0.0280 memory: 18108 grad_norm: 3.3932 loss: 4.7798 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6999 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 2.0799 2023/01/31 13:44:17 - mmengine - INFO - Epoch(train) [18][1000/1879] lr: 5.6408e-02 eta: 2 days, 14:58:38 time: 0.5047 data_time: 0.0366 memory: 18108 grad_norm: 3.4211 loss: 4.9762 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.8639 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.1123 2023/01/31 13:44:28 - mmengine - INFO - Epoch(train) [18][1020/1879] lr: 5.6436e-02 eta: 2 days, 14:58:31 time: 0.5175 data_time: 0.0285 memory: 18108 grad_norm: 3.3770 loss: 4.9116 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8190 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 2.0925 2023/01/31 13:44:38 - mmengine - INFO - Epoch(train) [18][1040/1879] lr: 5.6464e-02 eta: 2 days, 14:58:26 time: 0.5226 data_time: 0.0354 memory: 18108 grad_norm: 3.3986 loss: 4.8415 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.8581 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.9835 2023/01/31 13:44:47 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 13:44:49 - mmengine - INFO - Epoch(train) [18][1060/1879] lr: 5.6493e-02 eta: 2 days, 14:58:19 time: 0.5203 data_time: 0.0276 memory: 18108 grad_norm: 3.4082 loss: 4.9652 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8936 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.0716 2023/01/31 13:44:59 - mmengine - INFO - Epoch(train) [18][1080/1879] lr: 5.6521e-02 eta: 2 days, 14:58:13 time: 0.5209 data_time: 0.0368 memory: 18108 grad_norm: 3.3927 loss: 5.1321 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.0681 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0639 2023/01/31 13:45:17 - mmengine - INFO - Epoch(train) [18][1100/1879] lr: 5.6549e-02 eta: 2 days, 14:59:54 time: 0.9130 data_time: 0.3137 memory: 18108 grad_norm: 3.3787 loss: 5.0843 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.0171 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.0672 2023/01/31 13:45:30 - mmengine - INFO - Epoch(train) [18][1120/1879] lr: 5.6577e-02 eta: 2 days, 15:00:21 time: 0.6459 data_time: 0.1388 memory: 18108 grad_norm: 3.3162 loss: 4.7999 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7937 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 2.0062 2023/01/31 13:45:40 - mmengine - INFO - Epoch(train) [18][1140/1879] lr: 5.6605e-02 eta: 2 days, 15:00:03 time: 0.4775 data_time: 0.0353 memory: 18108 grad_norm: 3.3127 loss: 4.8421 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7717 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 2.0704 2023/01/31 13:45:49 - mmengine - INFO - Epoch(train) [18][1160/1879] lr: 5.6633e-02 eta: 2 days, 14:59:42 time: 0.4656 data_time: 0.0357 memory: 18108 grad_norm: 3.3742 loss: 5.0115 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.0251 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9864 2023/01/31 13:45:59 - mmengine - INFO - Epoch(train) [18][1180/1879] lr: 5.6662e-02 eta: 2 days, 14:59:27 time: 0.4893 data_time: 0.0365 memory: 18108 grad_norm: 3.3291 loss: 4.9591 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8442 top1_acc_1: 0.5059 top5_acc_1: 0.6824 loss_cls_1: 2.1150 2023/01/31 13:46:08 - mmengine - INFO - Epoch(train) [18][1200/1879] lr: 5.6690e-02 eta: 2 days, 14:59:09 time: 0.4764 data_time: 0.0339 memory: 18108 grad_norm: 3.4011 loss: 5.0392 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.9833 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 2.0559 2023/01/31 13:46:18 - mmengine - INFO - Epoch(train) [18][1220/1879] lr: 5.6718e-02 eta: 2 days, 14:58:54 time: 0.4892 data_time: 0.0360 memory: 18108 grad_norm: 3.4351 loss: 4.9811 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.7570 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 2.2241 2023/01/31 13:46:28 - mmengine - INFO - Epoch(train) [18][1240/1879] lr: 5.6746e-02 eta: 2 days, 14:58:37 time: 0.4790 data_time: 0.0341 memory: 18108 grad_norm: 3.3600 loss: 4.9499 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.8009 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.1490 2023/01/31 13:46:37 - mmengine - INFO - Epoch(train) [18][1260/1879] lr: 5.6774e-02 eta: 2 days, 14:58:19 time: 0.4778 data_time: 0.0360 memory: 18108 grad_norm: 3.3638 loss: 4.9608 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8479 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.1129 2023/01/31 13:46:47 - mmengine - INFO - Epoch(train) [18][1280/1879] lr: 5.6803e-02 eta: 2 days, 14:58:03 time: 0.4851 data_time: 0.0430 memory: 18108 grad_norm: 3.3713 loss: 4.8204 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7403 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0800 2023/01/31 13:46:56 - mmengine - INFO - Epoch(train) [18][1300/1879] lr: 5.6831e-02 eta: 2 days, 14:57:44 time: 0.4736 data_time: 0.0359 memory: 18108 grad_norm: 3.3742 loss: 5.1372 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.9866 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.1506 2023/01/31 13:47:06 - mmengine - INFO - Epoch(train) [18][1320/1879] lr: 5.6859e-02 eta: 2 days, 14:57:27 time: 0.4800 data_time: 0.0364 memory: 18108 grad_norm: 3.3464 loss: 5.0180 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.9233 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.0947 2023/01/31 13:47:16 - mmengine - INFO - Epoch(train) [18][1340/1879] lr: 5.6887e-02 eta: 2 days, 14:57:12 time: 0.4857 data_time: 0.0350 memory: 18108 grad_norm: 3.3727 loss: 4.9785 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.8948 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.0837 2023/01/31 13:47:25 - mmengine - INFO - Epoch(train) [18][1360/1879] lr: 5.6915e-02 eta: 2 days, 14:56:56 time: 0.4841 data_time: 0.0403 memory: 18108 grad_norm: 3.3496 loss: 5.2806 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.1426 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 2.1380 2023/01/31 13:47:35 - mmengine - INFO - Epoch(train) [18][1380/1879] lr: 5.6943e-02 eta: 2 days, 14:56:40 time: 0.4870 data_time: 0.0363 memory: 18108 grad_norm: 3.3596 loss: 4.6999 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5156 top1_acc_1: 0.4235 top5_acc_1: 0.6471 loss_cls_1: 2.1843 2023/01/31 13:47:45 - mmengine - INFO - Epoch(train) [18][1400/1879] lr: 5.6972e-02 eta: 2 days, 14:56:23 time: 0.4789 data_time: 0.0357 memory: 18108 grad_norm: 3.3298 loss: 5.1875 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.0345 top1_acc_1: 0.4471 top5_acc_1: 0.7765 loss_cls_1: 2.1530 2023/01/31 13:47:55 - mmengine - INFO - Epoch(train) [18][1420/1879] lr: 5.7000e-02 eta: 2 days, 14:56:09 time: 0.4914 data_time: 0.0387 memory: 18108 grad_norm: 3.3382 loss: 5.0057 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.8846 top1_acc_1: 0.4824 top5_acc_1: 0.6941 loss_cls_1: 2.1211 2023/01/31 13:48:04 - mmengine - INFO - Epoch(train) [18][1440/1879] lr: 5.7028e-02 eta: 2 days, 14:55:56 time: 0.4944 data_time: 0.0369 memory: 18108 grad_norm: 3.3010 loss: 4.9117 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8050 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 2.1066 2023/01/31 13:48:14 - mmengine - INFO - Epoch(train) [18][1460/1879] lr: 5.7056e-02 eta: 2 days, 14:55:40 time: 0.4870 data_time: 0.0319 memory: 18108 grad_norm: 3.3144 loss: 5.1684 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.0006 top1_acc_1: 0.4118 top5_acc_1: 0.6706 loss_cls_1: 2.1678 2023/01/31 13:48:24 - mmengine - INFO - Epoch(train) [18][1480/1879] lr: 5.7084e-02 eta: 2 days, 14:55:26 time: 0.4918 data_time: 0.0349 memory: 18108 grad_norm: 3.3980 loss: 4.8269 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7113 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 2.1156 2023/01/31 13:48:34 - mmengine - INFO - Epoch(train) [18][1500/1879] lr: 5.7112e-02 eta: 2 days, 14:55:11 time: 0.4884 data_time: 0.0413 memory: 18108 grad_norm: 3.3488 loss: 5.0816 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8676 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 2.2140 2023/01/31 13:48:44 - mmengine - INFO - Epoch(train) [18][1520/1879] lr: 5.7141e-02 eta: 2 days, 14:54:57 time: 0.4915 data_time: 0.0334 memory: 18108 grad_norm: 3.3807 loss: 5.0508 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 3.0088 top1_acc_1: 0.4353 top5_acc_1: 0.7176 loss_cls_1: 2.0420 2023/01/31 13:48:53 - mmengine - INFO - Epoch(train) [18][1540/1879] lr: 5.7169e-02 eta: 2 days, 14:54:41 time: 0.4808 data_time: 0.0329 memory: 18108 grad_norm: 3.3601 loss: 4.9577 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7703 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 2.1874 2023/01/31 13:49:03 - mmengine - INFO - Epoch(train) [18][1560/1879] lr: 5.7197e-02 eta: 2 days, 14:54:31 time: 0.5095 data_time: 0.0439 memory: 18108 grad_norm: 3.3900 loss: 4.7965 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6252 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 2.1712 2023/01/31 13:49:13 - mmengine - INFO - Epoch(train) [18][1580/1879] lr: 5.7225e-02 eta: 2 days, 14:54:15 time: 0.4832 data_time: 0.0339 memory: 18108 grad_norm: 3.3867 loss: 5.0976 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9493 top1_acc_1: 0.4588 top5_acc_1: 0.7647 loss_cls_1: 2.1483 2023/01/31 13:49:23 - mmengine - INFO - Epoch(train) [18][1600/1879] lr: 5.7253e-02 eta: 2 days, 14:54:02 time: 0.4959 data_time: 0.0355 memory: 18108 grad_norm: 3.3581 loss: 4.9191 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9028 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 2.0164 2023/01/31 13:49:33 - mmengine - INFO - Epoch(train) [18][1620/1879] lr: 5.7282e-02 eta: 2 days, 14:53:51 time: 0.5005 data_time: 0.0359 memory: 18108 grad_norm: 3.3115 loss: 4.9457 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8201 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 2.1255 2023/01/31 13:49:55 - mmengine - INFO - Epoch(train) [18][1640/1879] lr: 5.7310e-02 eta: 2 days, 14:56:15 time: 1.0848 data_time: 0.1839 memory: 18108 grad_norm: 3.4008 loss: 4.8771 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7859 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 2.0912 2023/01/31 13:50:04 - mmengine - INFO - Epoch(train) [18][1660/1879] lr: 5.7338e-02 eta: 2 days, 14:55:53 time: 0.4631 data_time: 0.0358 memory: 18108 grad_norm: 3.3868 loss: 5.1784 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9645 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.2138 2023/01/31 13:50:13 - mmengine - INFO - Epoch(train) [18][1680/1879] lr: 5.7366e-02 eta: 2 days, 14:55:31 time: 0.4627 data_time: 0.0384 memory: 18108 grad_norm: 3.3672 loss: 4.9433 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8188 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 2.1246 2023/01/31 13:50:23 - mmengine - INFO - Epoch(train) [18][1700/1879] lr: 5.7394e-02 eta: 2 days, 14:55:17 time: 0.4906 data_time: 0.0350 memory: 18108 grad_norm: 3.3424 loss: 5.0143 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.9611 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0532 2023/01/31 13:50:33 - mmengine - INFO - Epoch(train) [18][1720/1879] lr: 5.7422e-02 eta: 2 days, 14:55:01 time: 0.4852 data_time: 0.0483 memory: 18108 grad_norm: 3.3270 loss: 4.9841 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8316 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 2.1525 2023/01/31 13:50:42 - mmengine - INFO - Epoch(train) [18][1740/1879] lr: 5.7451e-02 eta: 2 days, 14:54:39 time: 0.4603 data_time: 0.0354 memory: 18108 grad_norm: 3.4039 loss: 4.8094 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6472 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.1622 2023/01/31 13:50:51 - mmengine - INFO - Epoch(train) [18][1760/1879] lr: 5.7479e-02 eta: 2 days, 14:54:16 time: 0.4564 data_time: 0.0361 memory: 18108 grad_norm: 3.3185 loss: 5.1508 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9760 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 2.1748 2023/01/31 13:51:01 - mmengine - INFO - Epoch(train) [18][1780/1879] lr: 5.7507e-02 eta: 2 days, 14:53:57 time: 0.4723 data_time: 0.0368 memory: 18108 grad_norm: 3.3928 loss: 4.8804 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.7936 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 2.0868 2023/01/31 13:51:10 - mmengine - INFO - Epoch(train) [18][1800/1879] lr: 5.7535e-02 eta: 2 days, 14:53:41 time: 0.4856 data_time: 0.0430 memory: 18108 grad_norm: 3.3685 loss: 4.7852 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.7557 top1_acc_1: 0.6000 top5_acc_1: 0.7412 loss_cls_1: 2.0295 2023/01/31 13:51:20 - mmengine - INFO - Epoch(train) [18][1820/1879] lr: 5.7563e-02 eta: 2 days, 14:53:20 time: 0.4666 data_time: 0.0342 memory: 18108 grad_norm: 3.3837 loss: 5.1677 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 3.0334 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.1343 2023/01/31 13:51:29 - mmengine - INFO - Epoch(train) [18][1840/1879] lr: 5.7591e-02 eta: 2 days, 14:52:57 time: 0.4544 data_time: 0.0329 memory: 18108 grad_norm: 3.3769 loss: 4.9219 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8062 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.1158 2023/01/31 13:51:38 - mmengine - INFO - Epoch(train) [18][1860/1879] lr: 5.7620e-02 eta: 2 days, 14:52:38 time: 0.4736 data_time: 0.0385 memory: 18108 grad_norm: 3.3461 loss: 4.8577 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7679 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.0898 2023/01/31 13:51:47 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 13:51:47 - mmengine - INFO - Epoch(train) [18][1879/1879] lr: 5.7646e-02 eta: 2 days, 14:52:13 time: 0.4511 data_time: 0.0319 memory: 18108 grad_norm: 3.4598 loss: 5.1462 top1_acc_0: 0.2857 top5_acc_0: 0.5714 loss_cls_0: 2.8892 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 2.2570 2023/01/31 13:52:01 - mmengine - INFO - Epoch(train) [19][ 20/1879] lr: 5.7675e-02 eta: 2 days, 14:52:54 time: 0.6975 data_time: 0.2516 memory: 18108 grad_norm: 3.3438 loss: 4.9731 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8350 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.1381 2023/01/31 13:52:11 - mmengine - INFO - Epoch(train) [19][ 40/1879] lr: 5.7703e-02 eta: 2 days, 14:52:33 time: 0.4683 data_time: 0.0313 memory: 18108 grad_norm: 3.2949 loss: 4.6612 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6245 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 2.0367 2023/01/31 13:52:20 - mmengine - INFO - Epoch(train) [19][ 60/1879] lr: 5.7731e-02 eta: 2 days, 14:52:15 time: 0.4766 data_time: 0.0366 memory: 18108 grad_norm: 3.2949 loss: 4.6915 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6243 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.0672 2023/01/31 13:52:30 - mmengine - INFO - Epoch(train) [19][ 80/1879] lr: 5.7759e-02 eta: 2 days, 14:52:07 time: 0.5126 data_time: 0.0394 memory: 18108 grad_norm: 3.3746 loss: 4.6743 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6762 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.9981 2023/01/31 13:52:40 - mmengine - INFO - Epoch(train) [19][ 100/1879] lr: 5.7787e-02 eta: 2 days, 14:51:49 time: 0.4758 data_time: 0.0365 memory: 18108 grad_norm: 3.3918 loss: 4.6893 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5988 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.0905 2023/01/31 13:52:49 - mmengine - INFO - Epoch(train) [19][ 120/1879] lr: 5.7815e-02 eta: 2 days, 14:51:29 time: 0.4673 data_time: 0.0317 memory: 18108 grad_norm: 3.3091 loss: 4.7181 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6920 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.0261 2023/01/31 13:52:59 - mmengine - INFO - Epoch(train) [19][ 140/1879] lr: 5.7844e-02 eta: 2 days, 14:51:14 time: 0.4900 data_time: 0.0405 memory: 18108 grad_norm: 3.3810 loss: 5.0244 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.9723 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 2.0521 2023/01/31 13:53:09 - mmengine - INFO - Epoch(train) [19][ 160/1879] lr: 5.7872e-02 eta: 2 days, 14:50:55 time: 0.4734 data_time: 0.0333 memory: 18108 grad_norm: 3.3400 loss: 5.0302 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8734 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 2.1567 2023/01/31 13:53:17 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 13:53:18 - mmengine - INFO - Epoch(train) [19][ 180/1879] lr: 5.7900e-02 eta: 2 days, 14:50:36 time: 0.4716 data_time: 0.0357 memory: 18108 grad_norm: 3.3766 loss: 5.0391 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.9211 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.1180 2023/01/31 13:53:27 - mmengine - INFO - Epoch(train) [19][ 200/1879] lr: 5.7928e-02 eta: 2 days, 14:50:15 time: 0.4652 data_time: 0.0316 memory: 18108 grad_norm: 3.3165 loss: 4.8027 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7654 top1_acc_1: 0.6588 top5_acc_1: 0.7765 loss_cls_1: 2.0373 2023/01/31 13:53:37 - mmengine - INFO - Epoch(train) [19][ 220/1879] lr: 5.7956e-02 eta: 2 days, 14:50:04 time: 0.5023 data_time: 0.0367 memory: 18108 grad_norm: 3.3575 loss: 4.9573 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.8933 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 2.0640 2023/01/31 13:53:47 - mmengine - INFO - Epoch(train) [19][ 240/1879] lr: 5.7985e-02 eta: 2 days, 14:49:45 time: 0.4730 data_time: 0.0318 memory: 18108 grad_norm: 3.3713 loss: 4.7595 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7655 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9940 2023/01/31 13:53:56 - mmengine - INFO - Epoch(train) [19][ 260/1879] lr: 5.8013e-02 eta: 2 days, 14:49:28 time: 0.4768 data_time: 0.0359 memory: 18108 grad_norm: 3.3563 loss: 4.8838 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8563 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 2.0274 2023/01/31 13:54:06 - mmengine - INFO - Epoch(train) [19][ 280/1879] lr: 5.8041e-02 eta: 2 days, 14:49:15 time: 0.4961 data_time: 0.0320 memory: 18108 grad_norm: 3.3999 loss: 5.0044 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.8919 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 2.1125 2023/01/31 13:56:04 - mmengine - INFO - Epoch(train) [19][ 300/1879] lr: 5.8069e-02 eta: 2 days, 15:12:29 time: 5.8661 data_time: 0.5808 memory: 18108 grad_norm: 3.4115 loss: 4.8388 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7805 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 2.0583 2023/01/31 13:56:13 - mmengine - INFO - Epoch(train) [19][ 320/1879] lr: 5.8097e-02 eta: 2 days, 15:12:07 time: 0.4658 data_time: 0.0361 memory: 18108 grad_norm: 3.3704 loss: 4.8843 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.8273 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.0570 2023/01/31 13:56:26 - mmengine - INFO - Epoch(train) [19][ 340/1879] lr: 5.8125e-02 eta: 2 days, 15:12:30 time: 0.6332 data_time: 0.0351 memory: 18108 grad_norm: 3.3237 loss: 5.0093 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.9022 top1_acc_1: 0.4706 top5_acc_1: 0.7059 loss_cls_1: 2.1070 2023/01/31 13:56:35 - mmengine - INFO - Epoch(train) [19][ 360/1879] lr: 5.8154e-02 eta: 2 days, 15:12:09 time: 0.4680 data_time: 0.0369 memory: 18108 grad_norm: 3.3643 loss: 4.8918 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7948 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.0970 2023/01/31 13:56:45 - mmengine - INFO - Epoch(train) [19][ 380/1879] lr: 5.8182e-02 eta: 2 days, 15:11:50 time: 0.4772 data_time: 0.0346 memory: 18108 grad_norm: 3.3690 loss: 4.8656 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.8133 top1_acc_1: 0.5765 top5_acc_1: 0.7059 loss_cls_1: 2.0523 2023/01/31 13:56:54 - mmengine - INFO - Epoch(train) [19][ 400/1879] lr: 5.8210e-02 eta: 2 days, 15:11:26 time: 0.4549 data_time: 0.0356 memory: 18108 grad_norm: 3.3710 loss: 4.9873 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8427 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.1446 2023/01/31 13:57:03 - mmengine - INFO - Epoch(train) [19][ 420/1879] lr: 5.8238e-02 eta: 2 days, 15:11:03 time: 0.4622 data_time: 0.0361 memory: 18108 grad_norm: 3.3424 loss: 4.7698 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6642 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 2.1056 2023/01/31 13:57:12 - mmengine - INFO - Epoch(train) [19][ 440/1879] lr: 5.8266e-02 eta: 2 days, 15:10:40 time: 0.4601 data_time: 0.0367 memory: 18108 grad_norm: 3.4161 loss: 5.0435 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.9722 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 2.0712 2023/01/31 13:57:22 - mmengine - INFO - Epoch(train) [19][ 460/1879] lr: 5.8294e-02 eta: 2 days, 15:10:24 time: 0.4837 data_time: 0.0436 memory: 18108 grad_norm: 3.3427 loss: 4.9767 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9649 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 2.0118 2023/01/31 13:57:31 - mmengine - INFO - Epoch(train) [19][ 480/1879] lr: 5.8323e-02 eta: 2 days, 15:10:00 time: 0.4583 data_time: 0.0349 memory: 18108 grad_norm: 3.3719 loss: 4.9348 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8476 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.0873 2023/01/31 13:57:40 - mmengine - INFO - Epoch(train) [19][ 500/1879] lr: 5.8351e-02 eta: 2 days, 15:09:37 time: 0.4593 data_time: 0.0366 memory: 18108 grad_norm: 3.3694 loss: 5.0309 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9544 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0765 2023/01/31 13:57:49 - mmengine - INFO - Epoch(train) [19][ 520/1879] lr: 5.8379e-02 eta: 2 days, 15:09:15 time: 0.4640 data_time: 0.0363 memory: 18108 grad_norm: 3.3920 loss: 4.9002 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7835 top1_acc_1: 0.4588 top5_acc_1: 0.6588 loss_cls_1: 2.1168 2023/01/31 13:57:59 - mmengine - INFO - Epoch(train) [19][ 540/1879] lr: 5.8407e-02 eta: 2 days, 15:08:56 time: 0.4735 data_time: 0.0364 memory: 18108 grad_norm: 3.3483 loss: 4.9013 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7986 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.1027 2023/01/31 13:58:08 - mmengine - INFO - Epoch(train) [19][ 560/1879] lr: 5.8435e-02 eta: 2 days, 15:08:36 time: 0.4740 data_time: 0.0423 memory: 18108 grad_norm: 3.3956 loss: 5.0186 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9536 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0650 2023/01/31 13:58:18 - mmengine - INFO - Epoch(train) [19][ 580/1879] lr: 5.8463e-02 eta: 2 days, 15:08:17 time: 0.4716 data_time: 0.0373 memory: 18108 grad_norm: 3.3996 loss: 5.0807 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.9893 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 2.0915 2023/01/31 13:58:27 - mmengine - INFO - Epoch(train) [19][ 600/1879] lr: 5.8492e-02 eta: 2 days, 15:07:59 time: 0.4801 data_time: 0.0338 memory: 18108 grad_norm: 3.3774 loss: 5.1262 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.9713 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 2.1549 2023/01/31 13:58:42 - mmengine - INFO - Epoch(train) [19][ 620/1879] lr: 5.8520e-02 eta: 2 days, 15:08:39 time: 0.7040 data_time: 0.2692 memory: 18108 grad_norm: 3.3630 loss: 5.0391 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9117 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 2.1274 2023/01/31 13:59:10 - mmengine - INFO - Epoch(train) [19][ 640/1879] lr: 5.8548e-02 eta: 2 days, 15:12:25 time: 1.4179 data_time: 0.6553 memory: 18108 grad_norm: 3.3465 loss: 4.9192 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8220 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 2.0971 2023/01/31 13:59:21 - mmengine - INFO - Epoch(train) [19][ 660/1879] lr: 5.8576e-02 eta: 2 days, 15:12:30 time: 0.5675 data_time: 0.1161 memory: 18108 grad_norm: 3.3184 loss: 4.7275 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6924 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 2.0351 2023/01/31 13:59:48 - mmengine - INFO - Epoch(train) [19][ 680/1879] lr: 5.8604e-02 eta: 2 days, 15:15:53 time: 1.3365 data_time: 0.7010 memory: 18108 grad_norm: 3.3604 loss: 4.8921 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.9017 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9904 2023/01/31 13:59:57 - mmengine - INFO - Epoch(train) [19][ 700/1879] lr: 5.8633e-02 eta: 2 days, 15:15:33 time: 0.4716 data_time: 0.0355 memory: 18108 grad_norm: 3.2998 loss: 4.9630 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8794 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 2.0836 2023/01/31 14:00:07 - mmengine - INFO - Epoch(train) [19][ 720/1879] lr: 5.8661e-02 eta: 2 days, 15:15:16 time: 0.4809 data_time: 0.0436 memory: 18108 grad_norm: 3.3614 loss: 4.8971 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7033 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 2.1938 2023/01/31 14:00:16 - mmengine - INFO - Epoch(train) [19][ 740/1879] lr: 5.8689e-02 eta: 2 days, 15:14:55 time: 0.4699 data_time: 0.0357 memory: 18108 grad_norm: 3.3495 loss: 4.9514 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7761 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.1753 2023/01/31 14:00:26 - mmengine - INFO - Epoch(train) [19][ 760/1879] lr: 5.8717e-02 eta: 2 days, 15:14:37 time: 0.4807 data_time: 0.0331 memory: 18108 grad_norm: 3.3616 loss: 4.7619 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6506 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.1113 2023/01/31 14:00:35 - mmengine - INFO - Epoch(train) [19][ 780/1879] lr: 5.8745e-02 eta: 2 days, 15:14:15 time: 0.4621 data_time: 0.0362 memory: 18108 grad_norm: 3.3688 loss: 4.9964 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8736 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 2.1227 2023/01/31 14:00:45 - mmengine - INFO - Epoch(train) [19][ 800/1879] lr: 5.8773e-02 eta: 2 days, 15:13:55 time: 0.4728 data_time: 0.0367 memory: 18108 grad_norm: 3.3286 loss: 5.1331 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.0682 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 2.0650 2023/01/31 14:00:54 - mmengine - INFO - Epoch(train) [19][ 820/1879] lr: 5.8802e-02 eta: 2 days, 15:13:34 time: 0.4692 data_time: 0.0436 memory: 18108 grad_norm: 3.3688 loss: 4.8019 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.6536 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.1483 2023/01/31 14:01:04 - mmengine - INFO - Epoch(train) [19][ 840/1879] lr: 5.8830e-02 eta: 2 days, 15:13:16 time: 0.4788 data_time: 0.0365 memory: 18108 grad_norm: 3.3449 loss: 4.7675 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.6844 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 2.0831 2023/01/31 14:01:13 - mmengine - INFO - Epoch(train) [19][ 860/1879] lr: 5.8858e-02 eta: 2 days, 15:12:54 time: 0.4630 data_time: 0.0351 memory: 18108 grad_norm: 3.3014 loss: 4.7206 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6686 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.0520 2023/01/31 14:01:23 - mmengine - INFO - Epoch(train) [19][ 880/1879] lr: 5.8886e-02 eta: 2 days, 15:12:36 time: 0.4797 data_time: 0.0354 memory: 18108 grad_norm: 3.3559 loss: 5.0543 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9299 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 2.1243 2023/01/31 14:01:32 - mmengine - INFO - Epoch(train) [19][ 900/1879] lr: 5.8914e-02 eta: 2 days, 15:12:14 time: 0.4650 data_time: 0.0411 memory: 18108 grad_norm: 3.3124 loss: 5.0251 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9029 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 2.1222 2023/01/31 14:01:41 - mmengine - INFO - Epoch(train) [19][ 920/1879] lr: 5.8942e-02 eta: 2 days, 15:11:55 time: 0.4759 data_time: 0.0348 memory: 18108 grad_norm: 3.3687 loss: 5.0540 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9188 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.1352 2023/01/31 14:01:51 - mmengine - INFO - Epoch(train) [19][ 940/1879] lr: 5.8971e-02 eta: 2 days, 15:11:34 time: 0.4678 data_time: 0.0350 memory: 18108 grad_norm: 3.3041 loss: 4.9789 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8921 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.0868 2023/01/31 14:02:00 - mmengine - INFO - Epoch(train) [19][ 960/1879] lr: 5.8999e-02 eta: 2 days, 15:11:17 time: 0.4816 data_time: 0.0355 memory: 18108 grad_norm: 3.3454 loss: 4.8019 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.8264 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.9755 2023/01/31 14:02:10 - mmengine - INFO - Epoch(train) [19][ 980/1879] lr: 5.9027e-02 eta: 2 days, 15:10:57 time: 0.4712 data_time: 0.0430 memory: 18108 grad_norm: 3.3280 loss: 4.6907 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6426 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0481 2023/01/31 14:02:19 - mmengine - INFO - Epoch(train) [19][1000/1879] lr: 5.9055e-02 eta: 2 days, 15:10:38 time: 0.4751 data_time: 0.0377 memory: 18108 grad_norm: 3.3615 loss: 4.8722 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.7902 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.0820 2023/01/31 14:02:29 - mmengine - INFO - Epoch(train) [19][1020/1879] lr: 5.9083e-02 eta: 2 days, 15:10:16 time: 0.4635 data_time: 0.0337 memory: 18108 grad_norm: 3.3843 loss: 4.9335 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8498 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.0837 2023/01/31 14:02:38 - mmengine - INFO - Epoch(train) [19][1040/1879] lr: 5.9112e-02 eta: 2 days, 15:09:57 time: 0.4753 data_time: 0.0352 memory: 18108 grad_norm: 3.3103 loss: 5.2030 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.1001 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.1029 2023/01/31 14:02:48 - mmengine - INFO - Epoch(train) [19][1060/1879] lr: 5.9140e-02 eta: 2 days, 15:09:38 time: 0.4784 data_time: 0.0358 memory: 18108 grad_norm: 3.3803 loss: 5.0279 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9823 top1_acc_1: 0.4824 top5_acc_1: 0.8000 loss_cls_1: 2.0456 2023/01/31 14:02:57 - mmengine - INFO - Epoch(train) [19][1080/1879] lr: 5.9168e-02 eta: 2 days, 15:09:18 time: 0.4707 data_time: 0.0355 memory: 18108 grad_norm: 3.3012 loss: 4.9646 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.9987 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.9658 2023/01/31 14:03:07 - mmengine - INFO - Epoch(train) [19][1100/1879] lr: 5.9196e-02 eta: 2 days, 15:08:58 time: 0.4722 data_time: 0.0355 memory: 18108 grad_norm: 3.2840 loss: 4.8245 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7112 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 2.1132 2023/01/31 14:03:16 - mmengine - INFO - Epoch(train) [19][1120/1879] lr: 5.9224e-02 eta: 2 days, 15:08:39 time: 0.4749 data_time: 0.0350 memory: 18108 grad_norm: 3.3333 loss: 5.1544 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.9817 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 2.1727 2023/01/31 14:03:26 - mmengine - INFO - Epoch(train) [19][1140/1879] lr: 5.9252e-02 eta: 2 days, 15:08:23 time: 0.4857 data_time: 0.0335 memory: 18108 grad_norm: 3.3120 loss: 5.0897 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.8837 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 2.2061 2023/01/31 14:03:35 - mmengine - INFO - Epoch(train) [19][1160/1879] lr: 5.9281e-02 eta: 2 days, 15:08:03 time: 0.4696 data_time: 0.0375 memory: 18108 grad_norm: 3.2791 loss: 4.7510 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6416 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.1094 2023/01/31 14:03:44 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 14:03:45 - mmengine - INFO - Epoch(train) [19][1180/1879] lr: 5.9309e-02 eta: 2 days, 15:07:42 time: 0.4700 data_time: 0.0350 memory: 18108 grad_norm: 3.3040 loss: 5.1336 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9804 top1_acc_1: 0.5294 top5_acc_1: 0.6941 loss_cls_1: 2.1532 2023/01/31 14:03:54 - mmengine - INFO - Epoch(train) [19][1200/1879] lr: 5.9337e-02 eta: 2 days, 15:07:23 time: 0.4748 data_time: 0.0354 memory: 18108 grad_norm: 3.3333 loss: 4.7683 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.7018 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 2.0665 2023/01/31 14:04:04 - mmengine - INFO - Epoch(train) [19][1220/1879] lr: 5.9365e-02 eta: 2 days, 15:07:05 time: 0.4774 data_time: 0.0374 memory: 18108 grad_norm: 3.3484 loss: 4.8591 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7118 top1_acc_1: 0.4824 top5_acc_1: 0.8000 loss_cls_1: 2.1472 2023/01/31 14:04:13 - mmengine - INFO - Epoch(train) [19][1240/1879] lr: 5.9393e-02 eta: 2 days, 15:06:43 time: 0.4635 data_time: 0.0399 memory: 18108 grad_norm: 3.3263 loss: 5.0597 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8606 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 2.1991 2023/01/31 14:04:22 - mmengine - INFO - Epoch(train) [19][1260/1879] lr: 5.9421e-02 eta: 2 days, 15:06:23 time: 0.4706 data_time: 0.0364 memory: 18108 grad_norm: 3.3844 loss: 4.8542 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.6589 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.1953 2023/01/31 14:04:32 - mmengine - INFO - Epoch(train) [19][1280/1879] lr: 5.9450e-02 eta: 2 days, 15:06:08 time: 0.4913 data_time: 0.0356 memory: 18108 grad_norm: 3.3341 loss: 5.0145 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.9565 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 2.0580 2023/01/31 14:04:42 - mmengine - INFO - Epoch(train) [19][1300/1879] lr: 5.9478e-02 eta: 2 days, 15:05:51 time: 0.4799 data_time: 0.0372 memory: 18108 grad_norm: 3.3457 loss: 5.2079 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.0444 top1_acc_1: 0.4353 top5_acc_1: 0.7176 loss_cls_1: 2.1635 2023/01/31 14:04:51 - mmengine - INFO - Epoch(train) [19][1320/1879] lr: 5.9506e-02 eta: 2 days, 15:05:34 time: 0.4852 data_time: 0.0352 memory: 18108 grad_norm: 3.3564 loss: 5.1217 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9895 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.1322 2023/01/31 14:05:01 - mmengine - INFO - Epoch(train) [19][1340/1879] lr: 5.9534e-02 eta: 2 days, 15:05:15 time: 0.4739 data_time: 0.0355 memory: 18108 grad_norm: 3.3184 loss: 5.0347 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.8412 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.1935 2023/01/31 14:05:11 - mmengine - INFO - Epoch(train) [19][1360/1879] lr: 5.9562e-02 eta: 2 days, 15:05:01 time: 0.4943 data_time: 0.0337 memory: 18108 grad_norm: 3.3197 loss: 4.8269 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8549 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9719 2023/01/31 14:05:20 - mmengine - INFO - Epoch(train) [19][1380/1879] lr: 5.9591e-02 eta: 2 days, 15:04:45 time: 0.4848 data_time: 0.0359 memory: 18108 grad_norm: 3.3184 loss: 4.8020 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7490 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 2.0531 2023/01/31 14:05:30 - mmengine - INFO - Epoch(train) [19][1400/1879] lr: 5.9619e-02 eta: 2 days, 15:04:25 time: 0.4733 data_time: 0.0346 memory: 18108 grad_norm: 3.3395 loss: 5.0368 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.9158 top1_acc_1: 0.5176 top5_acc_1: 0.6824 loss_cls_1: 2.1210 2023/01/31 14:05:40 - mmengine - INFO - Epoch(train) [19][1420/1879] lr: 5.9647e-02 eta: 2 days, 15:04:09 time: 0.4853 data_time: 0.0365 memory: 18108 grad_norm: 3.3655 loss: 4.9046 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8297 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 2.0749 2023/01/31 14:05:50 - mmengine - INFO - Epoch(train) [19][1440/1879] lr: 5.9675e-02 eta: 2 days, 15:03:57 time: 0.5015 data_time: 0.0343 memory: 18108 grad_norm: 3.3294 loss: 4.8155 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7700 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 2.0455 2023/01/31 14:05:59 - mmengine - INFO - Epoch(train) [19][1460/1879] lr: 5.9703e-02 eta: 2 days, 15:03:41 time: 0.4875 data_time: 0.0341 memory: 18108 grad_norm: 3.3064 loss: 4.6900 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6895 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 2.0005 2023/01/31 14:06:10 - mmengine - INFO - Epoch(train) [19][1480/1879] lr: 5.9731e-02 eta: 2 days, 15:03:30 time: 0.5034 data_time: 0.0447 memory: 18108 grad_norm: 3.2770 loss: 4.7497 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7229 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 2.0268 2023/01/31 14:06:20 - mmengine - INFO - Epoch(train) [19][1500/1879] lr: 5.9760e-02 eta: 2 days, 15:03:18 time: 0.5046 data_time: 0.0353 memory: 18108 grad_norm: 3.3152 loss: 4.9923 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 2.8522 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 2.1401 2023/01/31 14:06:29 - mmengine - INFO - Epoch(train) [19][1520/1879] lr: 5.9788e-02 eta: 2 days, 15:03:03 time: 0.4904 data_time: 0.0336 memory: 18108 grad_norm: 3.3593 loss: 4.8227 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7235 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 2.0992 2023/01/31 14:06:39 - mmengine - INFO - Epoch(train) [19][1540/1879] lr: 5.9816e-02 eta: 2 days, 15:02:48 time: 0.4876 data_time: 0.0356 memory: 18108 grad_norm: 3.3544 loss: 5.0776 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0079 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.0697 2023/01/31 14:06:49 - mmengine - INFO - Epoch(train) [19][1560/1879] lr: 5.9844e-02 eta: 2 days, 15:02:35 time: 0.5016 data_time: 0.0425 memory: 18108 grad_norm: 3.3501 loss: 5.0256 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9715 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0541 2023/01/31 14:06:59 - mmengine - INFO - Epoch(train) [19][1580/1879] lr: 5.9872e-02 eta: 2 days, 15:02:22 time: 0.4963 data_time: 0.0330 memory: 18108 grad_norm: 3.3702 loss: 4.8953 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7821 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.1132 2023/01/31 14:07:09 - mmengine - INFO - Epoch(train) [19][1600/1879] lr: 5.9900e-02 eta: 2 days, 15:02:08 time: 0.4957 data_time: 0.0337 memory: 18108 grad_norm: 3.3141 loss: 4.9863 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.8848 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 2.1015 2023/01/31 14:07:19 - mmengine - INFO - Epoch(train) [19][1620/1879] lr: 5.9929e-02 eta: 2 days, 15:01:53 time: 0.4882 data_time: 0.0353 memory: 18108 grad_norm: 3.3538 loss: 4.8302 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6470 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.1831 2023/01/31 14:07:29 - mmengine - INFO - Epoch(train) [19][1640/1879] lr: 5.9957e-02 eta: 2 days, 15:01:40 time: 0.4977 data_time: 0.0426 memory: 18108 grad_norm: 3.3201 loss: 5.1283 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.0580 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0703 2023/01/31 14:07:38 - mmengine - INFO - Epoch(train) [19][1660/1879] lr: 5.9985e-02 eta: 2 days, 15:01:23 time: 0.4840 data_time: 0.0359 memory: 18108 grad_norm: 3.3563 loss: 5.1349 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.0734 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.0615 2023/01/31 14:07:49 - mmengine - INFO - Epoch(train) [19][1680/1879] lr: 6.0013e-02 eta: 2 days, 15:01:15 time: 0.5175 data_time: 0.0350 memory: 18108 grad_norm: 3.4212 loss: 4.7991 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7107 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 2.0884 2023/01/31 14:07:59 - mmengine - INFO - Epoch(train) [19][1700/1879] lr: 6.0041e-02 eta: 2 days, 15:01:00 time: 0.4882 data_time: 0.0336 memory: 18108 grad_norm: 3.3550 loss: 5.1769 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.1126 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 2.0642 2023/01/31 14:08:09 - mmengine - INFO - Epoch(train) [19][1720/1879] lr: 6.0069e-02 eta: 2 days, 15:00:50 time: 0.5107 data_time: 0.0337 memory: 18108 grad_norm: 3.3262 loss: 5.1011 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.9707 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.1304 2023/01/31 14:08:19 - mmengine - INFO - Epoch(train) [19][1740/1879] lr: 6.0098e-02 eta: 2 days, 15:00:35 time: 0.4901 data_time: 0.0352 memory: 18108 grad_norm: 3.2749 loss: 4.9832 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8328 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.1503 2023/01/31 14:08:29 - mmengine - INFO - Epoch(train) [19][1760/1879] lr: 6.0126e-02 eta: 2 days, 15:00:23 time: 0.5023 data_time: 0.0331 memory: 18108 grad_norm: 3.3114 loss: 5.3065 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 3.1242 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 2.1822 2023/01/31 14:08:38 - mmengine - INFO - Epoch(train) [19][1780/1879] lr: 6.0154e-02 eta: 2 days, 15:00:07 time: 0.4873 data_time: 0.0343 memory: 18108 grad_norm: 3.3940 loss: 5.2032 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 3.0819 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.1213 2023/01/31 14:08:48 - mmengine - INFO - Epoch(train) [19][1800/1879] lr: 6.0182e-02 eta: 2 days, 14:59:53 time: 0.4928 data_time: 0.0335 memory: 18108 grad_norm: 3.2690 loss: 4.7244 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6558 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0686 2023/01/31 14:08:58 - mmengine - INFO - Epoch(train) [19][1820/1879] lr: 6.0210e-02 eta: 2 days, 14:59:39 time: 0.4922 data_time: 0.0404 memory: 18108 grad_norm: 3.3316 loss: 4.9757 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.8030 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.1727 2023/01/31 14:09:08 - mmengine - INFO - Epoch(train) [19][1840/1879] lr: 6.0239e-02 eta: 2 days, 14:59:22 time: 0.4851 data_time: 0.0340 memory: 18108 grad_norm: 3.3328 loss: 5.0027 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 2.9026 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.1000 2023/01/31 14:09:17 - mmengine - INFO - Epoch(train) [19][1860/1879] lr: 6.0267e-02 eta: 2 days, 14:59:05 time: 0.4812 data_time: 0.0355 memory: 18108 grad_norm: 3.3188 loss: 4.8363 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7541 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0823 2023/01/31 14:09:26 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 14:09:26 - mmengine - INFO - Epoch(train) [19][1879/1879] lr: 6.0293e-02 eta: 2 days, 14:58:46 time: 0.4726 data_time: 0.0307 memory: 18108 grad_norm: 3.3506 loss: 4.9716 top1_acc_0: 0.1429 top5_acc_0: 0.2857 loss_cls_0: 2.7978 top1_acc_1: 0.4706 top5_acc_1: 0.6588 loss_cls_1: 2.1738 2023/01/31 14:09:42 - mmengine - INFO - Epoch(train) [20][ 20/1879] lr: 6.0322e-02 eta: 2 days, 14:59:31 time: 0.7304 data_time: 0.2604 memory: 18108 grad_norm: 3.3119 loss: 4.8256 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7601 top1_acc_1: 0.6353 top5_acc_1: 0.7529 loss_cls_1: 2.0655 2023/01/31 14:09:51 - mmengine - INFO - Epoch(train) [20][ 40/1879] lr: 6.0350e-02 eta: 2 days, 14:59:13 time: 0.4761 data_time: 0.0330 memory: 18108 grad_norm: 3.3407 loss: 4.8483 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8557 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.9927 2023/01/31 14:10:01 - mmengine - INFO - Epoch(train) [20][ 60/1879] lr: 6.0378e-02 eta: 2 days, 14:58:58 time: 0.4931 data_time: 0.0359 memory: 18108 grad_norm: 3.3242 loss: 4.7819 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.7794 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 2.0025 2023/01/31 14:10:11 - mmengine - INFO - Epoch(train) [20][ 80/1879] lr: 6.0406e-02 eta: 2 days, 14:58:46 time: 0.4995 data_time: 0.0385 memory: 18108 grad_norm: 3.3154 loss: 4.7398 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7414 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9984 2023/01/31 14:10:21 - mmengine - INFO - Epoch(train) [20][ 100/1879] lr: 6.0434e-02 eta: 2 days, 14:58:30 time: 0.4883 data_time: 0.0383 memory: 18108 grad_norm: 3.2962 loss: 4.6445 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6857 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 1.9587 2023/01/31 14:10:30 - mmengine - INFO - Epoch(train) [20][ 120/1879] lr: 6.0463e-02 eta: 2 days, 14:58:12 time: 0.4751 data_time: 0.0309 memory: 18108 grad_norm: 3.3492 loss: 4.8483 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8531 top1_acc_1: 0.5176 top5_acc_1: 0.8588 loss_cls_1: 1.9952 2023/01/31 14:10:41 - mmengine - INFO - Epoch(train) [20][ 140/1879] lr: 6.0491e-02 eta: 2 days, 14:58:06 time: 0.5260 data_time: 0.0350 memory: 18108 grad_norm: 3.3219 loss: 4.7130 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6463 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.0666 2023/01/31 14:10:51 - mmengine - INFO - Epoch(train) [20][ 160/1879] lr: 6.0519e-02 eta: 2 days, 14:57:52 time: 0.4946 data_time: 0.0303 memory: 18108 grad_norm: 3.3408 loss: 4.7171 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7459 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.9712 2023/01/31 14:11:01 - mmengine - INFO - Epoch(train) [20][ 180/1879] lr: 6.0547e-02 eta: 2 days, 14:57:39 time: 0.4972 data_time: 0.0366 memory: 18108 grad_norm: 3.3745 loss: 4.8907 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.9235 top1_acc_1: 0.4471 top5_acc_1: 0.7059 loss_cls_1: 1.9671 2023/01/31 14:11:11 - mmengine - INFO - Epoch(train) [20][ 200/1879] lr: 6.0575e-02 eta: 2 days, 14:57:27 time: 0.5017 data_time: 0.0370 memory: 18108 grad_norm: 3.3323 loss: 4.8962 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8828 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 2.0133 2023/01/31 14:11:21 - mmengine - INFO - Epoch(train) [20][ 220/1879] lr: 6.0603e-02 eta: 2 days, 14:57:16 time: 0.5077 data_time: 0.0363 memory: 18108 grad_norm: 3.3294 loss: 4.7052 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7349 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.9703 2023/01/31 14:11:31 - mmengine - INFO - Epoch(train) [20][ 240/1879] lr: 6.0632e-02 eta: 2 days, 14:57:00 time: 0.4860 data_time: 0.0298 memory: 18108 grad_norm: 3.3163 loss: 4.8662 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8269 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0393 2023/01/31 14:11:41 - mmengine - INFO - Epoch(train) [20][ 260/1879] lr: 6.0660e-02 eta: 2 days, 14:56:52 time: 0.5177 data_time: 0.0376 memory: 18108 grad_norm: 3.4011 loss: 4.9916 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8998 top1_acc_1: 0.4471 top5_acc_1: 0.6706 loss_cls_1: 2.0918 2023/01/31 14:11:51 - mmengine - INFO - Epoch(train) [20][ 280/1879] lr: 6.0688e-02 eta: 2 days, 14:56:40 time: 0.5003 data_time: 0.0292 memory: 18108 grad_norm: 3.3329 loss: 4.7903 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6946 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0957 2023/01/31 14:12:00 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 14:12:01 - mmengine - INFO - Epoch(train) [20][ 300/1879] lr: 6.0716e-02 eta: 2 days, 14:56:27 time: 0.4991 data_time: 0.0368 memory: 18108 grad_norm: 3.2884 loss: 4.8352 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.6832 top1_acc_1: 0.4588 top5_acc_1: 0.7294 loss_cls_1: 2.1520 2023/01/31 14:12:11 - mmengine - INFO - Epoch(train) [20][ 320/1879] lr: 6.0744e-02 eta: 2 days, 14:56:13 time: 0.4929 data_time: 0.0350 memory: 18108 grad_norm: 3.3975 loss: 4.9946 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.9108 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0838 2023/01/31 14:12:21 - mmengine - INFO - Epoch(train) [20][ 340/1879] lr: 6.0772e-02 eta: 2 days, 14:56:05 time: 0.5196 data_time: 0.0385 memory: 18108 grad_norm: 3.3684 loss: 4.9012 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8412 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.0600 2023/01/31 14:12:31 - mmengine - INFO - Epoch(train) [20][ 360/1879] lr: 6.0801e-02 eta: 2 days, 14:55:51 time: 0.4941 data_time: 0.0297 memory: 18108 grad_norm: 3.3076 loss: 4.9822 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.9404 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.0418 2023/01/31 14:12:42 - mmengine - INFO - Epoch(train) [20][ 380/1879] lr: 6.0829e-02 eta: 2 days, 14:55:43 time: 0.5155 data_time: 0.0457 memory: 18108 grad_norm: 3.3040 loss: 4.7459 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6942 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.0517 2023/01/31 14:12:52 - mmengine - INFO - Epoch(train) [20][ 400/1879] lr: 6.0857e-02 eta: 2 days, 14:55:33 time: 0.5088 data_time: 0.0275 memory: 18108 grad_norm: 3.2936 loss: 4.7333 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8095 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.9238 2023/01/31 14:13:02 - mmengine - INFO - Epoch(train) [20][ 420/1879] lr: 6.0885e-02 eta: 2 days, 14:55:23 time: 0.5113 data_time: 0.0389 memory: 18108 grad_norm: 3.2985 loss: 4.7244 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.7376 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.9868 2023/01/31 14:13:12 - mmengine - INFO - Epoch(train) [20][ 440/1879] lr: 6.0913e-02 eta: 2 days, 14:55:07 time: 0.4870 data_time: 0.0313 memory: 18108 grad_norm: 3.3085 loss: 4.7073 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7258 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.9816 2023/01/31 14:13:22 - mmengine - INFO - Epoch(train) [20][ 460/1879] lr: 6.0942e-02 eta: 2 days, 14:54:59 time: 0.5149 data_time: 0.0341 memory: 18108 grad_norm: 3.2798 loss: 4.8862 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8199 top1_acc_1: 0.4941 top5_acc_1: 0.6706 loss_cls_1: 2.0663 2023/01/31 14:13:32 - mmengine - INFO - Epoch(train) [20][ 480/1879] lr: 6.0970e-02 eta: 2 days, 14:54:44 time: 0.4901 data_time: 0.0350 memory: 18108 grad_norm: 3.2965 loss: 4.7311 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6516 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 2.0795 2023/01/31 14:13:42 - mmengine - INFO - Epoch(train) [20][ 500/1879] lr: 6.0998e-02 eta: 2 days, 14:54:34 time: 0.5099 data_time: 0.0329 memory: 18108 grad_norm: 3.3322 loss: 4.8111 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.7803 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 2.0308 2023/01/31 14:13:52 - mmengine - INFO - Epoch(train) [20][ 520/1879] lr: 6.1026e-02 eta: 2 days, 14:54:22 time: 0.5048 data_time: 0.0423 memory: 18108 grad_norm: 3.3250 loss: 4.7506 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6703 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.0803 2023/01/31 14:14:02 - mmengine - INFO - Epoch(train) [20][ 540/1879] lr: 6.1054e-02 eta: 2 days, 14:54:11 time: 0.5060 data_time: 0.0340 memory: 18108 grad_norm: 3.3138 loss: 4.9356 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8925 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.0431 2023/01/31 14:14:12 - mmengine - INFO - Epoch(train) [20][ 560/1879] lr: 6.1082e-02 eta: 2 days, 14:54:00 time: 0.5040 data_time: 0.0336 memory: 18108 grad_norm: 3.3250 loss: 4.9870 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.9497 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.0373 2023/01/31 14:14:22 - mmengine - INFO - Epoch(train) [20][ 580/1879] lr: 6.1111e-02 eta: 2 days, 14:53:48 time: 0.5006 data_time: 0.0335 memory: 18108 grad_norm: 3.2782 loss: 4.8432 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7850 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0582 2023/01/31 14:14:32 - mmengine - INFO - Epoch(train) [20][ 600/1879] lr: 6.1139e-02 eta: 2 days, 14:53:36 time: 0.5012 data_time: 0.0398 memory: 18108 grad_norm: 3.2872 loss: 4.8243 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 2.6874 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 2.1369 2023/01/31 14:14:42 - mmengine - INFO - Epoch(train) [20][ 620/1879] lr: 6.1167e-02 eta: 2 days, 14:53:24 time: 0.5020 data_time: 0.0377 memory: 18108 grad_norm: 3.3386 loss: 4.9305 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8071 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 2.1234 2023/01/31 14:14:52 - mmengine - INFO - Epoch(train) [20][ 640/1879] lr: 6.1195e-02 eta: 2 days, 14:53:10 time: 0.4940 data_time: 0.0309 memory: 18108 grad_norm: 3.2876 loss: 4.8705 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6702 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.2003 2023/01/31 14:15:03 - mmengine - INFO - Epoch(train) [20][ 660/1879] lr: 6.1223e-02 eta: 2 days, 14:53:02 time: 0.5175 data_time: 0.0382 memory: 18108 grad_norm: 3.3300 loss: 5.0736 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.0874 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9861 2023/01/31 14:15:12 - mmengine - INFO - Epoch(train) [20][ 680/1879] lr: 6.1251e-02 eta: 2 days, 14:52:46 time: 0.4880 data_time: 0.0313 memory: 18108 grad_norm: 3.2663 loss: 4.8566 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7648 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 2.0917 2023/01/31 14:15:22 - mmengine - INFO - Epoch(train) [20][ 700/1879] lr: 6.1280e-02 eta: 2 days, 14:52:33 time: 0.4976 data_time: 0.0347 memory: 18108 grad_norm: 3.3209 loss: 5.1692 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.0546 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.1146 2023/01/31 14:15:32 - mmengine - INFO - Epoch(train) [20][ 720/1879] lr: 6.1308e-02 eta: 2 days, 14:52:20 time: 0.4961 data_time: 0.0392 memory: 18108 grad_norm: 3.2794 loss: 5.0295 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.9486 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 2.0810 2023/01/31 14:15:43 - mmengine - INFO - Epoch(train) [20][ 740/1879] lr: 6.1336e-02 eta: 2 days, 14:52:11 time: 0.5158 data_time: 0.0362 memory: 18108 grad_norm: 3.3150 loss: 4.9856 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8326 top1_acc_1: 0.4941 top5_acc_1: 0.8118 loss_cls_1: 2.1530 2023/01/31 14:15:52 - mmengine - INFO - Epoch(train) [20][ 760/1879] lr: 6.1364e-02 eta: 2 days, 14:51:57 time: 0.4925 data_time: 0.0350 memory: 18108 grad_norm: 3.3255 loss: 4.9135 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8069 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 2.1066 2023/01/31 14:16:03 - mmengine - INFO - Epoch(train) [20][ 780/1879] lr: 6.1392e-02 eta: 2 days, 14:51:48 time: 0.5149 data_time: 0.0358 memory: 18108 grad_norm: 3.2741 loss: 4.9762 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9406 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.0357 2023/01/31 14:16:12 - mmengine - INFO - Epoch(train) [20][ 800/1879] lr: 6.1421e-02 eta: 2 days, 14:51:33 time: 0.4881 data_time: 0.0392 memory: 18108 grad_norm: 3.3295 loss: 4.8966 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8296 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.0671 2023/01/31 14:16:23 - mmengine - INFO - Epoch(train) [20][ 820/1879] lr: 6.1449e-02 eta: 2 days, 14:51:24 time: 0.5135 data_time: 0.0337 memory: 18108 grad_norm: 3.3441 loss: 4.8915 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8845 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 2.0070 2023/01/31 14:16:33 - mmengine - INFO - Epoch(train) [20][ 840/1879] lr: 6.1477e-02 eta: 2 days, 14:51:10 time: 0.4947 data_time: 0.0337 memory: 18108 grad_norm: 3.2814 loss: 5.1187 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.9450 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.1737 2023/01/31 14:16:43 - mmengine - INFO - Epoch(train) [20][ 860/1879] lr: 6.1505e-02 eta: 2 days, 14:51:00 time: 0.5086 data_time: 0.0349 memory: 18108 grad_norm: 3.3627 loss: 4.8194 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7654 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 2.0540 2023/01/31 14:16:53 - mmengine - INFO - Epoch(train) [20][ 880/1879] lr: 6.1533e-02 eta: 2 days, 14:50:46 time: 0.4945 data_time: 0.0315 memory: 18108 grad_norm: 3.3835 loss: 5.0879 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9014 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.1865 2023/01/31 14:17:03 - mmengine - INFO - Epoch(train) [20][ 900/1879] lr: 6.1561e-02 eta: 2 days, 14:50:36 time: 0.5089 data_time: 0.0345 memory: 18108 grad_norm: 3.2877 loss: 4.6334 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.6205 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 2.0130 2023/01/31 14:17:13 - mmengine - INFO - Epoch(train) [20][ 920/1879] lr: 6.1590e-02 eta: 2 days, 14:50:27 time: 0.5116 data_time: 0.0409 memory: 18108 grad_norm: 3.3584 loss: 5.0689 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9535 top1_acc_1: 0.4824 top5_acc_1: 0.6824 loss_cls_1: 2.1154 2023/01/31 14:17:23 - mmengine - INFO - Epoch(train) [20][ 940/1879] lr: 6.1618e-02 eta: 2 days, 14:50:16 time: 0.5064 data_time: 0.0350 memory: 18108 grad_norm: 3.2851 loss: 4.7746 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.7686 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 2.0060 2023/01/31 14:17:33 - mmengine - INFO - Epoch(train) [20][ 960/1879] lr: 6.1646e-02 eta: 2 days, 14:50:02 time: 0.4934 data_time: 0.0342 memory: 18108 grad_norm: 3.2940 loss: 4.8805 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8408 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.0398 2023/01/31 14:17:43 - mmengine - INFO - Epoch(train) [20][ 980/1879] lr: 6.1674e-02 eta: 2 days, 14:49:53 time: 0.5135 data_time: 0.0311 memory: 18108 grad_norm: 3.3584 loss: 5.0276 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.9142 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.1134 2023/01/31 14:17:54 - mmengine - INFO - Epoch(train) [20][1000/1879] lr: 6.1702e-02 eta: 2 days, 14:49:43 time: 0.5107 data_time: 0.0443 memory: 18108 grad_norm: 3.3178 loss: 4.6532 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.6840 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.9692 2023/01/31 14:18:04 - mmengine - INFO - Epoch(train) [20][1020/1879] lr: 6.1730e-02 eta: 2 days, 14:49:33 time: 0.5101 data_time: 0.0334 memory: 18108 grad_norm: 3.3347 loss: 4.9075 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7585 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.1490 2023/01/31 14:18:14 - mmengine - INFO - Epoch(train) [20][1040/1879] lr: 6.1759e-02 eta: 2 days, 14:49:19 time: 0.4927 data_time: 0.0367 memory: 18108 grad_norm: 3.3004 loss: 4.7885 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7007 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 2.0877 2023/01/31 14:18:24 - mmengine - INFO - Epoch(train) [20][1060/1879] lr: 6.1787e-02 eta: 2 days, 14:49:09 time: 0.5099 data_time: 0.0371 memory: 18108 grad_norm: 3.3514 loss: 5.0817 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9473 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 2.1344 2023/01/31 14:18:34 - mmengine - INFO - Epoch(train) [20][1080/1879] lr: 6.1815e-02 eta: 2 days, 14:48:55 time: 0.4921 data_time: 0.0379 memory: 18108 grad_norm: 3.2956 loss: 4.9821 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8835 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 2.0985 2023/01/31 14:18:44 - mmengine - INFO - Epoch(train) [20][1100/1879] lr: 6.1843e-02 eta: 2 days, 14:48:48 time: 0.5230 data_time: 0.0291 memory: 18108 grad_norm: 3.2674 loss: 4.9149 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8718 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 2.0430 2023/01/31 14:18:54 - mmengine - INFO - Epoch(train) [20][1120/1879] lr: 6.1871e-02 eta: 2 days, 14:48:35 time: 0.4996 data_time: 0.0429 memory: 18108 grad_norm: 3.3030 loss: 5.0274 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9640 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 2.0634 2023/01/31 14:19:04 - mmengine - INFO - Epoch(train) [20][1140/1879] lr: 6.1900e-02 eta: 2 days, 14:48:22 time: 0.4959 data_time: 0.0289 memory: 18108 grad_norm: 3.2670 loss: 4.9801 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7692 top1_acc_1: 0.4471 top5_acc_1: 0.7412 loss_cls_1: 2.2108 2023/01/31 14:19:14 - mmengine - INFO - Epoch(train) [20][1160/1879] lr: 6.1928e-02 eta: 2 days, 14:48:12 time: 0.5089 data_time: 0.0366 memory: 18108 grad_norm: 3.2934 loss: 4.8847 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8197 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.0650 2023/01/31 14:19:25 - mmengine - INFO - Epoch(train) [20][1180/1879] lr: 6.1956e-02 eta: 2 days, 14:48:03 time: 0.5158 data_time: 0.0366 memory: 18108 grad_norm: 3.2652 loss: 4.8820 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7755 top1_acc_1: 0.5412 top5_acc_1: 0.6824 loss_cls_1: 2.1065 2023/01/31 14:19:34 - mmengine - INFO - Epoch(train) [20][1200/1879] lr: 6.1984e-02 eta: 2 days, 14:47:49 time: 0.4902 data_time: 0.0357 memory: 18108 grad_norm: 3.2922 loss: 4.9077 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8548 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.0529 2023/01/31 14:19:45 - mmengine - INFO - Epoch(train) [20][1220/1879] lr: 6.2012e-02 eta: 2 days, 14:47:38 time: 0.5083 data_time: 0.0290 memory: 18108 grad_norm: 3.2911 loss: 4.8177 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.6872 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.1304 2023/01/31 14:19:55 - mmengine - INFO - Epoch(train) [20][1240/1879] lr: 6.2040e-02 eta: 2 days, 14:47:28 time: 0.5096 data_time: 0.0456 memory: 18108 grad_norm: 3.3484 loss: 4.9659 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8772 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.0887 2023/01/31 14:20:05 - mmengine - INFO - Epoch(train) [20][1260/1879] lr: 6.2069e-02 eta: 2 days, 14:47:18 time: 0.5084 data_time: 0.0281 memory: 18108 grad_norm: 3.3264 loss: 4.8990 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 2.8884 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 2.0106 2023/01/31 14:20:15 - mmengine - INFO - Epoch(train) [20][1280/1879] lr: 6.2097e-02 eta: 2 days, 14:47:03 time: 0.4890 data_time: 0.0352 memory: 18108 grad_norm: 3.3129 loss: 4.7311 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7295 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 2.0017 2023/01/31 14:20:25 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 14:20:25 - mmengine - INFO - Epoch(train) [20][1300/1879] lr: 6.2125e-02 eta: 2 days, 14:46:54 time: 0.5155 data_time: 0.0305 memory: 18108 grad_norm: 3.3250 loss: 5.0938 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.0128 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0810 2023/01/31 14:20:35 - mmengine - INFO - Epoch(train) [20][1320/1879] lr: 6.2153e-02 eta: 2 days, 14:46:47 time: 0.5198 data_time: 0.0442 memory: 18108 grad_norm: 3.2812 loss: 4.8307 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7468 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.0838 2023/01/31 14:20:45 - mmengine - INFO - Epoch(train) [20][1340/1879] lr: 6.2181e-02 eta: 2 days, 14:46:34 time: 0.4993 data_time: 0.0294 memory: 18108 grad_norm: 3.3106 loss: 4.7401 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.6196 top1_acc_1: 0.4588 top5_acc_1: 0.7059 loss_cls_1: 2.1205 2023/01/31 14:20:55 - mmengine - INFO - Epoch(train) [20][1360/1879] lr: 6.2209e-02 eta: 2 days, 14:46:22 time: 0.5013 data_time: 0.0366 memory: 18108 grad_norm: 3.3363 loss: 4.7512 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6706 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.0807 2023/01/31 14:21:06 - mmengine - INFO - Epoch(train) [20][1380/1879] lr: 6.2238e-02 eta: 2 days, 14:46:15 time: 0.5236 data_time: 0.0370 memory: 18108 grad_norm: 3.2875 loss: 4.9118 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8720 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0398 2023/01/31 14:21:16 - mmengine - INFO - Epoch(train) [20][1400/1879] lr: 6.2266e-02 eta: 2 days, 14:46:05 time: 0.5077 data_time: 0.0356 memory: 18108 grad_norm: 3.3086 loss: 5.0837 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.9852 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 2.0985 2023/01/31 14:21:26 - mmengine - INFO - Epoch(train) [20][1420/1879] lr: 6.2294e-02 eta: 2 days, 14:45:54 time: 0.5057 data_time: 0.0299 memory: 18108 grad_norm: 3.2701 loss: 4.6820 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5840 top1_acc_1: 0.6353 top5_acc_1: 0.7647 loss_cls_1: 2.0980 2023/01/31 14:21:37 - mmengine - INFO - Epoch(train) [20][1440/1879] lr: 6.2322e-02 eta: 2 days, 14:45:46 time: 0.5200 data_time: 0.0455 memory: 18108 grad_norm: 3.3477 loss: 4.9254 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8324 top1_acc_1: 0.4471 top5_acc_1: 0.7412 loss_cls_1: 2.0930 2023/01/31 14:21:47 - mmengine - INFO - Epoch(train) [20][1460/1879] lr: 6.2350e-02 eta: 2 days, 14:45:35 time: 0.5038 data_time: 0.0285 memory: 18108 grad_norm: 3.3248 loss: 5.0650 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 3.0131 top1_acc_1: 0.4353 top5_acc_1: 0.8000 loss_cls_1: 2.0519 2023/01/31 14:21:57 - mmengine - INFO - Epoch(train) [20][1480/1879] lr: 6.2378e-02 eta: 2 days, 14:45:24 time: 0.5057 data_time: 0.0373 memory: 18108 grad_norm: 3.3084 loss: 4.9209 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8864 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.0345 2023/01/31 14:22:07 - mmengine - INFO - Epoch(train) [20][1500/1879] lr: 6.2407e-02 eta: 2 days, 14:45:16 time: 0.5198 data_time: 0.0403 memory: 18108 grad_norm: 3.2975 loss: 4.8631 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7310 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 2.1321 2023/01/31 14:22:17 - mmengine - INFO - Epoch(train) [20][1520/1879] lr: 6.2435e-02 eta: 2 days, 14:45:02 time: 0.4910 data_time: 0.0342 memory: 18108 grad_norm: 3.2739 loss: 4.7796 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7235 top1_acc_1: 0.4471 top5_acc_1: 0.7294 loss_cls_1: 2.0561 2023/01/31 14:22:27 - mmengine - INFO - Epoch(train) [20][1540/1879] lr: 6.2463e-02 eta: 2 days, 14:44:51 time: 0.5082 data_time: 0.0324 memory: 18108 grad_norm: 3.3255 loss: 5.0979 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.9962 top1_acc_1: 0.5412 top5_acc_1: 0.6588 loss_cls_1: 2.1017 2023/01/31 14:22:37 - mmengine - INFO - Epoch(train) [20][1560/1879] lr: 6.2491e-02 eta: 2 days, 14:44:38 time: 0.4944 data_time: 0.0341 memory: 18108 grad_norm: 3.3469 loss: 5.1559 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.0553 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 2.1006 2023/01/31 14:22:47 - mmengine - INFO - Epoch(train) [20][1580/1879] lr: 6.2519e-02 eta: 2 days, 14:44:30 time: 0.5178 data_time: 0.0429 memory: 18108 grad_norm: 3.3476 loss: 5.0710 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8152 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.2558 2023/01/31 14:22:57 - mmengine - INFO - Epoch(train) [20][1600/1879] lr: 6.2548e-02 eta: 2 days, 14:44:15 time: 0.4890 data_time: 0.0355 memory: 18108 grad_norm: 3.3987 loss: 5.0769 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 3.0112 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 2.0657 2023/01/31 14:23:08 - mmengine - INFO - Epoch(train) [20][1620/1879] lr: 6.2576e-02 eta: 2 days, 14:44:08 time: 0.5223 data_time: 0.0321 memory: 18108 grad_norm: 3.3307 loss: 4.8976 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.8325 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 2.0651 2023/01/31 14:23:18 - mmengine - INFO - Epoch(train) [20][1640/1879] lr: 6.2604e-02 eta: 2 days, 14:43:57 time: 0.5069 data_time: 0.0328 memory: 18108 grad_norm: 3.2638 loss: 4.9616 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8041 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.1575 2023/01/31 14:23:28 - mmengine - INFO - Epoch(train) [20][1660/1879] lr: 6.2632e-02 eta: 2 days, 14:43:43 time: 0.4940 data_time: 0.0311 memory: 18108 grad_norm: 3.3199 loss: 4.9863 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.9188 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0675 2023/01/31 14:23:38 - mmengine - INFO - Epoch(train) [20][1680/1879] lr: 6.2660e-02 eta: 2 days, 14:43:34 time: 0.5110 data_time: 0.0329 memory: 18108 grad_norm: 3.2781 loss: 4.9808 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8789 top1_acc_1: 0.4235 top5_acc_1: 0.7294 loss_cls_1: 2.1019 2023/01/31 14:23:49 - mmengine - INFO - Epoch(train) [20][1700/1879] lr: 6.2688e-02 eta: 2 days, 14:43:33 time: 0.5510 data_time: 0.0328 memory: 18108 grad_norm: 3.2753 loss: 4.9859 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8793 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.1066 2023/01/31 14:23:59 - mmengine - INFO - Epoch(train) [20][1720/1879] lr: 6.2717e-02 eta: 2 days, 14:43:20 time: 0.4955 data_time: 0.0334 memory: 18108 grad_norm: 3.2870 loss: 5.0658 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8697 top1_acc_1: 0.5294 top5_acc_1: 0.6941 loss_cls_1: 2.1960 2023/01/31 14:24:09 - mmengine - INFO - Epoch(train) [20][1740/1879] lr: 6.2745e-02 eta: 2 days, 14:43:10 time: 0.5079 data_time: 0.0325 memory: 18108 grad_norm: 3.3144 loss: 5.0137 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9008 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.1129 2023/01/31 14:24:19 - mmengine - INFO - Epoch(train) [20][1760/1879] lr: 6.2773e-02 eta: 2 days, 14:43:01 time: 0.5172 data_time: 0.0362 memory: 18108 grad_norm: 3.3007 loss: 4.9642 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8524 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 2.1118 2023/01/31 14:24:30 - mmengine - INFO - Epoch(train) [20][1780/1879] lr: 6.2801e-02 eta: 2 days, 14:42:56 time: 0.5279 data_time: 0.0404 memory: 18108 grad_norm: 3.3186 loss: 5.0286 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8806 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 2.1480 2023/01/31 14:24:40 - mmengine - INFO - Epoch(train) [20][1800/1879] lr: 6.2829e-02 eta: 2 days, 14:42:46 time: 0.5095 data_time: 0.0357 memory: 18108 grad_norm: 3.2417 loss: 4.8812 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.7580 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.1232 2023/01/31 14:24:51 - mmengine - INFO - Epoch(train) [20][1820/1879] lr: 6.2857e-02 eta: 2 days, 14:42:43 time: 0.5398 data_time: 0.0318 memory: 18108 grad_norm: 3.3001 loss: 4.8539 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7538 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.1001 2023/01/31 14:25:02 - mmengine - INFO - Epoch(train) [20][1840/1879] lr: 6.2886e-02 eta: 2 days, 14:42:43 time: 0.5526 data_time: 0.0408 memory: 18108 grad_norm: 3.3264 loss: 5.2177 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 3.0372 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 2.1805 2023/01/31 14:25:12 - mmengine - INFO - Epoch(train) [20][1860/1879] lr: 6.2914e-02 eta: 2 days, 14:42:35 time: 0.5186 data_time: 0.0309 memory: 18108 grad_norm: 3.3046 loss: 4.7195 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5685 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 2.1510 2023/01/31 14:25:22 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 14:25:22 - mmengine - INFO - Epoch(train) [20][1879/1879] lr: 6.2941e-02 eta: 2 days, 14:42:27 time: 0.5211 data_time: 0.0323 memory: 18108 grad_norm: 3.2922 loss: 4.8520 top1_acc_0: 0.2857 top5_acc_0: 0.5714 loss_cls_0: 2.7699 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.0821 2023/01/31 14:25:23 - mmengine - INFO - Saving checkpoint at 20 epochs 2023/01/31 14:25:33 - mmengine - INFO - Epoch(val) [20][ 20/155] eta: 0:01:01 time: 0.4561 data_time: 0.3434 memory: 1906 2023/01/31 14:25:42 - mmengine - INFO - Epoch(val) [20][ 40/155] eta: 0:00:51 time: 0.4458 data_time: 0.3341 memory: 1906 2023/01/31 14:25:51 - mmengine - INFO - Epoch(val) [20][ 60/155] eta: 0:00:42 time: 0.4350 data_time: 0.3237 memory: 1906 2023/01/31 14:26:00 - mmengine - INFO - Epoch(val) [20][ 80/155] eta: 0:00:33 time: 0.4587 data_time: 0.3472 memory: 1906 2023/01/31 14:26:09 - mmengine - INFO - Epoch(val) [20][100/155] eta: 0:00:24 time: 0.4414 data_time: 0.3297 memory: 1906 2023/01/31 14:26:18 - mmengine - INFO - Epoch(val) [20][120/155] eta: 0:00:15 time: 0.4648 data_time: 0.3532 memory: 1906 2023/01/31 14:26:27 - mmengine - INFO - Epoch(val) [20][140/155] eta: 0:00:06 time: 0.4393 data_time: 0.3283 memory: 1906 2023/01/31 14:26:35 - mmengine - INFO - Epoch(val) [20][155/155] acc/top1: 0.4268 acc/top5: 0.6908 acc/mean1: 0.4265 2023/01/31 14:26:35 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_16.pth is removed 2023/01/31 14:26:36 - mmengine - INFO - The best checkpoint with 0.4268 acc/top1 at 20 epoch is saved to best_acc/top1_epoch_20.pth. 2023/01/31 14:26:50 - mmengine - INFO - Epoch(train) [21][ 20/1879] lr: 6.2969e-02 eta: 2 days, 14:43:00 time: 0.6888 data_time: 0.2396 memory: 18108 grad_norm: 3.2678 loss: 4.7256 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7526 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.9729 2023/01/31 14:27:00 - mmengine - INFO - Epoch(train) [21][ 40/1879] lr: 6.2997e-02 eta: 2 days, 14:42:41 time: 0.4718 data_time: 0.0303 memory: 18108 grad_norm: 3.3074 loss: 4.7935 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6693 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.1242 2023/01/31 14:27:10 - mmengine - INFO - Epoch(train) [21][ 60/1879] lr: 6.3025e-02 eta: 2 days, 14:42:26 time: 0.4927 data_time: 0.0376 memory: 18108 grad_norm: 3.2831 loss: 5.1039 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 3.0014 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 2.1025 2023/01/31 14:27:20 - mmengine - INFO - Epoch(train) [21][ 80/1879] lr: 6.3053e-02 eta: 2 days, 14:42:15 time: 0.5048 data_time: 0.0294 memory: 18108 grad_norm: 3.2043 loss: 4.8578 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8065 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 2.0512 2023/01/31 14:27:29 - mmengine - INFO - Epoch(train) [21][ 100/1879] lr: 6.3081e-02 eta: 2 days, 14:42:00 time: 0.4859 data_time: 0.0383 memory: 18108 grad_norm: 3.3013 loss: 4.5487 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.5278 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.0208 2023/01/31 14:27:39 - mmengine - INFO - Epoch(train) [21][ 120/1879] lr: 6.3110e-02 eta: 2 days, 14:41:40 time: 0.4689 data_time: 0.0288 memory: 18108 grad_norm: 3.2890 loss: 4.6897 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7486 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9411 2023/01/31 14:27:49 - mmengine - INFO - Epoch(train) [21][ 140/1879] lr: 6.3138e-02 eta: 2 days, 14:41:32 time: 0.5169 data_time: 0.0485 memory: 18108 grad_norm: 3.3142 loss: 5.0256 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9567 top1_acc_1: 0.5176 top5_acc_1: 0.6824 loss_cls_1: 2.0689 2023/01/31 14:27:59 - mmengine - INFO - Epoch(train) [21][ 160/1879] lr: 6.3166e-02 eta: 2 days, 14:41:14 time: 0.4755 data_time: 0.0312 memory: 18108 grad_norm: 3.2895 loss: 4.7207 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6410 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 2.0797 2023/01/31 14:28:08 - mmengine - INFO - Epoch(train) [21][ 180/1879] lr: 6.3194e-02 eta: 2 days, 14:40:55 time: 0.4745 data_time: 0.0397 memory: 18108 grad_norm: 3.2907 loss: 5.0330 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8953 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 2.1376 2023/01/31 14:28:18 - mmengine - INFO - Epoch(train) [21][ 200/1879] lr: 6.3222e-02 eta: 2 days, 14:40:37 time: 0.4761 data_time: 0.0411 memory: 18108 grad_norm: 3.2948 loss: 4.8161 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7888 top1_acc_1: 0.5529 top5_acc_1: 0.6941 loss_cls_1: 2.0273 2023/01/31 14:28:28 - mmengine - INFO - Epoch(train) [21][ 220/1879] lr: 6.3251e-02 eta: 2 days, 14:40:26 time: 0.5051 data_time: 0.0379 memory: 18108 grad_norm: 3.2874 loss: 4.8861 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8088 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.0773 2023/01/31 14:28:37 - mmengine - INFO - Epoch(train) [21][ 240/1879] lr: 6.3279e-02 eta: 2 days, 14:40:06 time: 0.4661 data_time: 0.0325 memory: 18108 grad_norm: 3.2926 loss: 4.5982 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5750 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 2.0232 2023/01/31 14:28:47 - mmengine - INFO - Epoch(train) [21][ 260/1879] lr: 6.3307e-02 eta: 2 days, 14:39:53 time: 0.4962 data_time: 0.0552 memory: 18108 grad_norm: 3.2658 loss: 4.5863 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5920 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.9943 2023/01/31 14:28:57 - mmengine - INFO - Epoch(train) [21][ 280/1879] lr: 6.3335e-02 eta: 2 days, 14:39:39 time: 0.4918 data_time: 0.0293 memory: 18108 grad_norm: 3.3221 loss: 4.5203 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5609 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9594 2023/01/31 14:29:07 - mmengine - INFO - Epoch(train) [21][ 300/1879] lr: 6.3363e-02 eta: 2 days, 14:39:23 time: 0.4872 data_time: 0.0344 memory: 18108 grad_norm: 3.2938 loss: 4.6524 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7097 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.9426 2023/01/31 14:29:16 - mmengine - INFO - Epoch(train) [21][ 320/1879] lr: 6.3391e-02 eta: 2 days, 14:39:07 time: 0.4841 data_time: 0.0281 memory: 18108 grad_norm: 3.2572 loss: 4.8896 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.8440 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 2.0456 2023/01/31 14:29:26 - mmengine - INFO - Epoch(train) [21][ 340/1879] lr: 6.3420e-02 eta: 2 days, 14:38:57 time: 0.5073 data_time: 0.0495 memory: 18108 grad_norm: 3.2774 loss: 4.9901 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8758 top1_acc_1: 0.4706 top5_acc_1: 0.6471 loss_cls_1: 2.1143 2023/01/31 14:29:36 - mmengine - INFO - Epoch(train) [21][ 360/1879] lr: 6.3448e-02 eta: 2 days, 14:38:45 time: 0.5041 data_time: 0.0304 memory: 18108 grad_norm: 3.2467 loss: 4.8742 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.7635 top1_acc_1: 0.4353 top5_acc_1: 0.7176 loss_cls_1: 2.1107 2023/01/31 14:29:46 - mmengine - INFO - Epoch(train) [21][ 380/1879] lr: 6.3476e-02 eta: 2 days, 14:38:32 time: 0.4944 data_time: 0.0347 memory: 18108 grad_norm: 3.3042 loss: 5.0780 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.0619 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 2.0161 2023/01/31 14:29:56 - mmengine - INFO - Epoch(train) [21][ 400/1879] lr: 6.3504e-02 eta: 2 days, 14:38:17 time: 0.4899 data_time: 0.0372 memory: 18108 grad_norm: 3.3380 loss: 4.8621 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.9166 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.9455 2023/01/31 14:30:06 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 14:30:06 - mmengine - INFO - Epoch(train) [21][ 420/1879] lr: 6.3532e-02 eta: 2 days, 14:38:06 time: 0.5039 data_time: 0.0334 memory: 18108 grad_norm: 3.2896 loss: 4.8659 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.8446 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 2.0213 2023/01/31 14:30:16 - mmengine - INFO - Epoch(train) [21][ 440/1879] lr: 6.3560e-02 eta: 2 days, 14:37:51 time: 0.4894 data_time: 0.0305 memory: 18108 grad_norm: 3.3593 loss: 4.7866 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.8110 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.9756 2023/01/31 14:30:26 - mmengine - INFO - Epoch(train) [21][ 460/1879] lr: 6.3589e-02 eta: 2 days, 14:37:36 time: 0.4863 data_time: 0.0369 memory: 18108 grad_norm: 3.2649 loss: 4.9415 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8415 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.1000 2023/01/31 14:30:36 - mmengine - INFO - Epoch(train) [21][ 480/1879] lr: 6.3617e-02 eta: 2 days, 14:37:23 time: 0.4999 data_time: 0.0376 memory: 18108 grad_norm: 3.2796 loss: 5.0756 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.9335 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 2.1422 2023/01/31 14:30:46 - mmengine - INFO - Epoch(train) [21][ 500/1879] lr: 6.3645e-02 eta: 2 days, 14:37:11 time: 0.5017 data_time: 0.0345 memory: 18108 grad_norm: 3.2834 loss: 5.0119 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.9836 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 2.0283 2023/01/31 14:30:55 - mmengine - INFO - Epoch(train) [21][ 520/1879] lr: 6.3673e-02 eta: 2 days, 14:36:55 time: 0.4822 data_time: 0.0320 memory: 18108 grad_norm: 3.2888 loss: 4.9853 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8843 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.1010 2023/01/31 14:31:06 - mmengine - INFO - Epoch(train) [21][ 540/1879] lr: 6.3701e-02 eta: 2 days, 14:36:44 time: 0.5048 data_time: 0.0422 memory: 18108 grad_norm: 3.2317 loss: 4.9804 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 2.9946 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.9859 2023/01/31 14:31:15 - mmengine - INFO - Epoch(train) [21][ 560/1879] lr: 6.3730e-02 eta: 2 days, 14:36:31 time: 0.4973 data_time: 0.0296 memory: 18108 grad_norm: 3.3013 loss: 4.7506 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5765 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.1740 2023/01/31 14:31:25 - mmengine - INFO - Epoch(train) [21][ 580/1879] lr: 6.3758e-02 eta: 2 days, 14:36:16 time: 0.4901 data_time: 0.0351 memory: 18108 grad_norm: 3.2738 loss: 4.8507 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8050 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 2.0457 2023/01/31 14:31:35 - mmengine - INFO - Epoch(train) [21][ 600/1879] lr: 6.3786e-02 eta: 2 days, 14:36:01 time: 0.4842 data_time: 0.0324 memory: 18108 grad_norm: 3.3046 loss: 4.7424 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6400 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.1024 2023/01/31 14:31:45 - mmengine - INFO - Epoch(train) [21][ 620/1879] lr: 6.3814e-02 eta: 2 days, 14:35:50 time: 0.5078 data_time: 0.0431 memory: 18108 grad_norm: 3.2902 loss: 4.8224 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8712 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9512 2023/01/31 14:31:55 - mmengine - INFO - Epoch(train) [21][ 640/1879] lr: 6.3842e-02 eta: 2 days, 14:35:37 time: 0.4976 data_time: 0.0295 memory: 18108 grad_norm: 3.2648 loss: 4.8086 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7918 top1_acc_1: 0.4118 top5_acc_1: 0.8353 loss_cls_1: 2.0168 2023/01/31 14:32:05 - mmengine - INFO - Epoch(train) [21][ 660/1879] lr: 6.3870e-02 eta: 2 days, 14:35:25 time: 0.5007 data_time: 0.0349 memory: 18108 grad_norm: 3.2842 loss: 4.8831 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.8001 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.0830 2023/01/31 14:32:15 - mmengine - INFO - Epoch(train) [21][ 680/1879] lr: 6.3899e-02 eta: 2 days, 14:35:11 time: 0.4932 data_time: 0.0315 memory: 18108 grad_norm: 3.2976 loss: 4.9165 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.9447 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.9718 2023/01/31 14:32:25 - mmengine - INFO - Epoch(train) [21][ 700/1879] lr: 6.3927e-02 eta: 2 days, 14:34:59 time: 0.5009 data_time: 0.0420 memory: 18108 grad_norm: 3.2845 loss: 4.7349 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7420 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.9929 2023/01/31 14:32:35 - mmengine - INFO - Epoch(train) [21][ 720/1879] lr: 6.3955e-02 eta: 2 days, 14:34:47 time: 0.4991 data_time: 0.0317 memory: 18108 grad_norm: 3.3165 loss: 4.9805 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8764 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 2.1041 2023/01/31 14:32:45 - mmengine - INFO - Epoch(train) [21][ 740/1879] lr: 6.3983e-02 eta: 2 days, 14:34:32 time: 0.4870 data_time: 0.0376 memory: 18108 grad_norm: 3.2416 loss: 4.6335 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6384 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9951 2023/01/31 14:32:55 - mmengine - INFO - Epoch(train) [21][ 760/1879] lr: 6.4011e-02 eta: 2 days, 14:34:21 time: 0.5053 data_time: 0.0391 memory: 18108 grad_norm: 3.3329 loss: 4.8093 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6776 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.1317 2023/01/31 14:33:05 - mmengine - INFO - Epoch(train) [21][ 780/1879] lr: 6.4039e-02 eta: 2 days, 14:34:09 time: 0.5024 data_time: 0.0337 memory: 18108 grad_norm: 3.3080 loss: 5.0431 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.9384 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 2.1047 2023/01/31 14:33:15 - mmengine - INFO - Epoch(train) [21][ 800/1879] lr: 6.4068e-02 eta: 2 days, 14:33:54 time: 0.4897 data_time: 0.0322 memory: 18108 grad_norm: 3.2711 loss: 5.1731 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0225 top1_acc_1: 0.4588 top5_acc_1: 0.6706 loss_cls_1: 2.1506 2023/01/31 14:33:25 - mmengine - INFO - Epoch(train) [21][ 820/1879] lr: 6.4096e-02 eta: 2 days, 14:33:42 time: 0.4994 data_time: 0.0358 memory: 18108 grad_norm: 3.3434 loss: 4.7746 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7500 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 2.0246 2023/01/31 14:33:35 - mmengine - INFO - Epoch(train) [21][ 840/1879] lr: 6.4124e-02 eta: 2 days, 14:33:31 time: 0.5033 data_time: 0.0308 memory: 18108 grad_norm: 3.3390 loss: 5.0596 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8951 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.1646 2023/01/31 14:33:45 - mmengine - INFO - Epoch(train) [21][ 860/1879] lr: 6.4152e-02 eta: 2 days, 14:33:21 time: 0.5096 data_time: 0.0334 memory: 18108 grad_norm: 3.2558 loss: 4.9156 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8520 top1_acc_1: 0.5059 top5_acc_1: 0.8235 loss_cls_1: 2.0635 2023/01/31 14:33:55 - mmengine - INFO - Epoch(train) [21][ 880/1879] lr: 6.4180e-02 eta: 2 days, 14:33:06 time: 0.4887 data_time: 0.0315 memory: 18108 grad_norm: 3.3317 loss: 4.8851 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8111 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 2.0740 2023/01/31 14:34:05 - mmengine - INFO - Epoch(train) [21][ 900/1879] lr: 6.4208e-02 eta: 2 days, 14:32:57 time: 0.5131 data_time: 0.0414 memory: 18108 grad_norm: 3.2745 loss: 4.8156 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.7611 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 2.0546 2023/01/31 14:34:15 - mmengine - INFO - Epoch(train) [21][ 920/1879] lr: 6.4237e-02 eta: 2 days, 14:32:44 time: 0.4968 data_time: 0.0339 memory: 18108 grad_norm: 3.2985 loss: 5.0818 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9167 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.1652 2023/01/31 14:34:25 - mmengine - INFO - Epoch(train) [21][ 940/1879] lr: 6.4265e-02 eta: 2 days, 14:32:31 time: 0.4955 data_time: 0.0348 memory: 18108 grad_norm: 3.2589 loss: 4.9441 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.9847 top1_acc_1: 0.5059 top5_acc_1: 0.8588 loss_cls_1: 1.9594 2023/01/31 14:34:35 - mmengine - INFO - Epoch(train) [21][ 960/1879] lr: 6.4293e-02 eta: 2 days, 14:32:16 time: 0.4915 data_time: 0.0308 memory: 18108 grad_norm: 3.2442 loss: 4.7828 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7709 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.0119 2023/01/31 14:34:45 - mmengine - INFO - Epoch(train) [21][ 980/1879] lr: 6.4321e-02 eta: 2 days, 14:32:06 time: 0.5061 data_time: 0.0443 memory: 18108 grad_norm: 3.2695 loss: 4.8345 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7054 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.1290 2023/01/31 14:34:55 - mmengine - INFO - Epoch(train) [21][1000/1879] lr: 6.4349e-02 eta: 2 days, 14:31:51 time: 0.4902 data_time: 0.0317 memory: 18108 grad_norm: 3.2842 loss: 4.7678 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.7118 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.0559 2023/01/31 14:35:05 - mmengine - INFO - Epoch(train) [21][1020/1879] lr: 6.4378e-02 eta: 2 days, 14:31:39 time: 0.5019 data_time: 0.0351 memory: 18108 grad_norm: 3.2497 loss: 4.9604 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8585 top1_acc_1: 0.3765 top5_acc_1: 0.7529 loss_cls_1: 2.1020 2023/01/31 14:35:14 - mmengine - INFO - Epoch(train) [21][1040/1879] lr: 6.4406e-02 eta: 2 days, 14:31:24 time: 0.4882 data_time: 0.0309 memory: 18108 grad_norm: 3.2740 loss: 4.8635 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7538 top1_acc_1: 0.5059 top5_acc_1: 0.8235 loss_cls_1: 2.1097 2023/01/31 14:35:24 - mmengine - INFO - Epoch(train) [21][1060/1879] lr: 6.4434e-02 eta: 2 days, 14:31:13 time: 0.5013 data_time: 0.0345 memory: 18108 grad_norm: 3.2912 loss: 4.8478 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7053 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 2.1425 2023/01/31 14:35:34 - mmengine - INFO - Epoch(train) [21][1080/1879] lr: 6.4462e-02 eta: 2 days, 14:31:00 time: 0.4966 data_time: 0.0321 memory: 18108 grad_norm: 3.3294 loss: 4.9170 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.8456 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 2.0714 2023/01/31 14:35:45 - mmengine - INFO - Epoch(train) [21][1100/1879] lr: 6.4490e-02 eta: 2 days, 14:30:49 time: 0.5076 data_time: 0.0345 memory: 18108 grad_norm: 3.4689 loss: 4.8929 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7505 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 2.1425 2023/01/31 14:35:54 - mmengine - INFO - Epoch(train) [21][1120/1879] lr: 6.4518e-02 eta: 2 days, 14:30:37 time: 0.4985 data_time: 0.0303 memory: 18108 grad_norm: 3.2868 loss: 4.7322 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.6020 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 2.1302 2023/01/31 14:36:04 - mmengine - INFO - Epoch(train) [21][1140/1879] lr: 6.4547e-02 eta: 2 days, 14:30:24 time: 0.4963 data_time: 0.0363 memory: 18108 grad_norm: 3.3149 loss: 5.1386 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 3.0112 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 2.1274 2023/01/31 14:36:14 - mmengine - INFO - Epoch(train) [21][1160/1879] lr: 6.4575e-02 eta: 2 days, 14:30:09 time: 0.4912 data_time: 0.0310 memory: 18108 grad_norm: 3.2764 loss: 5.0592 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9142 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 2.1451 2023/01/31 14:36:24 - mmengine - INFO - Epoch(train) [21][1180/1879] lr: 6.4603e-02 eta: 2 days, 14:29:57 time: 0.5005 data_time: 0.0435 memory: 18108 grad_norm: 3.2526 loss: 4.7310 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6582 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.0728 2023/01/31 14:36:34 - mmengine - INFO - Epoch(train) [21][1200/1879] lr: 6.4631e-02 eta: 2 days, 14:29:46 time: 0.5050 data_time: 0.0298 memory: 18108 grad_norm: 3.2959 loss: 5.0025 top1_acc_0: 0.2500 top5_acc_0: 0.2500 loss_cls_0: 2.8459 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.1566 2023/01/31 14:36:44 - mmengine - INFO - Epoch(train) [21][1220/1879] lr: 6.4659e-02 eta: 2 days, 14:29:31 time: 0.4866 data_time: 0.0353 memory: 18108 grad_norm: 3.3323 loss: 4.9370 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7934 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.1436 2023/01/31 14:36:54 - mmengine - INFO - Epoch(train) [21][1240/1879] lr: 6.4687e-02 eta: 2 days, 14:29:18 time: 0.4965 data_time: 0.0370 memory: 18108 grad_norm: 3.2476 loss: 4.7737 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6741 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 2.0996 2023/01/31 14:37:04 - mmengine - INFO - Epoch(train) [21][1260/1879] lr: 6.4716e-02 eta: 2 days, 14:29:07 time: 0.5043 data_time: 0.0366 memory: 18108 grad_norm: 3.2246 loss: 5.0832 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9947 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 2.0886 2023/01/31 14:37:14 - mmengine - INFO - Epoch(train) [21][1280/1879] lr: 6.4744e-02 eta: 2 days, 14:28:51 time: 0.4846 data_time: 0.0307 memory: 18108 grad_norm: 3.2124 loss: 4.9155 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8485 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.0670 2023/01/31 14:37:24 - mmengine - INFO - Epoch(train) [21][1300/1879] lr: 6.4772e-02 eta: 2 days, 14:28:39 time: 0.5010 data_time: 0.0371 memory: 18108 grad_norm: 3.2700 loss: 4.9371 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8406 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 2.0965 2023/01/31 14:37:34 - mmengine - INFO - Epoch(train) [21][1320/1879] lr: 6.4800e-02 eta: 2 days, 14:28:25 time: 0.4884 data_time: 0.0306 memory: 18108 grad_norm: 3.2479 loss: 5.1321 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.0176 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.1145 2023/01/31 14:37:44 - mmengine - INFO - Epoch(train) [21][1340/1879] lr: 6.4828e-02 eta: 2 days, 14:28:14 time: 0.5054 data_time: 0.0347 memory: 18108 grad_norm: 3.2422 loss: 4.9439 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8170 top1_acc_1: 0.4588 top5_acc_1: 0.7765 loss_cls_1: 2.1268 2023/01/31 14:37:54 - mmengine - INFO - Epoch(train) [21][1360/1879] lr: 6.4857e-02 eta: 2 days, 14:28:00 time: 0.4908 data_time: 0.0296 memory: 18108 grad_norm: 3.2930 loss: 4.9243 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8280 top1_acc_1: 0.4471 top5_acc_1: 0.7059 loss_cls_1: 2.0963 2023/01/31 14:38:04 - mmengine - INFO - Epoch(train) [21][1380/1879] lr: 6.4885e-02 eta: 2 days, 14:27:48 time: 0.5011 data_time: 0.0376 memory: 18108 grad_norm: 3.2148 loss: 4.8639 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.9423 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.9216 2023/01/31 14:38:14 - mmengine - INFO - Epoch(train) [21][1400/1879] lr: 6.4913e-02 eta: 2 days, 14:27:39 time: 0.5149 data_time: 0.0310 memory: 18108 grad_norm: 3.2023 loss: 5.1014 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.0564 top1_acc_1: 0.4706 top5_acc_1: 0.8000 loss_cls_1: 2.0450 2023/01/31 14:38:24 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 14:38:24 - mmengine - INFO - Epoch(train) [21][1420/1879] lr: 6.4941e-02 eta: 2 days, 14:27:28 time: 0.5070 data_time: 0.0409 memory: 18108 grad_norm: 3.2583 loss: 4.7791 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7191 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 2.0600 2023/01/31 14:38:34 - mmengine - INFO - Epoch(train) [21][1440/1879] lr: 6.4969e-02 eta: 2 days, 14:27:16 time: 0.4977 data_time: 0.0305 memory: 18108 grad_norm: 3.2762 loss: 4.8165 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7551 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 2.0614 2023/01/31 14:38:44 - mmengine - INFO - Epoch(train) [21][1460/1879] lr: 6.4997e-02 eta: 2 days, 14:27:08 time: 0.5214 data_time: 0.0361 memory: 18108 grad_norm: 3.2227 loss: 4.7430 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7151 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 2.0280 2023/01/31 14:38:54 - mmengine - INFO - Epoch(train) [21][1480/1879] lr: 6.5026e-02 eta: 2 days, 14:26:54 time: 0.4907 data_time: 0.0297 memory: 18108 grad_norm: 3.2080 loss: 4.9036 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7486 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 2.1550 2023/01/31 14:39:04 - mmengine - INFO - Epoch(train) [21][1500/1879] lr: 6.5054e-02 eta: 2 days, 14:26:44 time: 0.5078 data_time: 0.0466 memory: 18108 grad_norm: 3.3089 loss: 5.0219 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.9816 top1_acc_1: 0.5294 top5_acc_1: 0.6941 loss_cls_1: 2.0402 2023/01/31 14:39:14 - mmengine - INFO - Epoch(train) [21][1520/1879] lr: 6.5082e-02 eta: 2 days, 14:26:32 time: 0.5028 data_time: 0.0265 memory: 18108 grad_norm: 3.2628 loss: 4.7292 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6924 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 2.0368 2023/01/31 14:39:24 - mmengine - INFO - Epoch(train) [21][1540/1879] lr: 6.5110e-02 eta: 2 days, 14:26:21 time: 0.5036 data_time: 0.0359 memory: 18108 grad_norm: 3.2875 loss: 4.7454 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7084 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0370 2023/01/31 14:39:35 - mmengine - INFO - Epoch(train) [21][1560/1879] lr: 6.5138e-02 eta: 2 days, 14:26:09 time: 0.5005 data_time: 0.0352 memory: 18108 grad_norm: 3.2838 loss: 4.8218 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.8109 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 2.0109 2023/01/31 14:39:45 - mmengine - INFO - Epoch(train) [21][1580/1879] lr: 6.5166e-02 eta: 2 days, 14:25:59 time: 0.5120 data_time: 0.0369 memory: 18108 grad_norm: 3.2637 loss: 4.9345 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8304 top1_acc_1: 0.4588 top5_acc_1: 0.6706 loss_cls_1: 2.1041 2023/01/31 14:39:55 - mmengine - INFO - Epoch(train) [21][1600/1879] lr: 6.5195e-02 eta: 2 days, 14:25:51 time: 0.5160 data_time: 0.0281 memory: 18108 grad_norm: 3.2656 loss: 4.7999 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7891 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0109 2023/01/31 14:40:05 - mmengine - INFO - Epoch(train) [21][1620/1879] lr: 6.5223e-02 eta: 2 days, 14:25:42 time: 0.5135 data_time: 0.0428 memory: 18108 grad_norm: 3.3033 loss: 4.9191 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7740 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.1451 2023/01/31 14:40:15 - mmengine - INFO - Epoch(train) [21][1640/1879] lr: 6.5251e-02 eta: 2 days, 14:25:30 time: 0.5015 data_time: 0.0329 memory: 18108 grad_norm: 3.2726 loss: 5.0126 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8802 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 2.1324 2023/01/31 14:40:26 - mmengine - INFO - Epoch(train) [21][1660/1879] lr: 6.5279e-02 eta: 2 days, 14:25:27 time: 0.5379 data_time: 0.0360 memory: 18108 grad_norm: 3.2879 loss: 4.9877 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9128 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.0748 2023/01/31 14:40:37 - mmengine - INFO - Epoch(train) [21][1680/1879] lr: 6.5307e-02 eta: 2 days, 14:25:19 time: 0.5217 data_time: 0.0285 memory: 18108 grad_norm: 3.2622 loss: 4.8145 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7689 top1_acc_1: 0.4824 top5_acc_1: 0.6706 loss_cls_1: 2.0456 2023/01/31 14:40:47 - mmengine - INFO - Epoch(train) [21][1700/1879] lr: 6.5336e-02 eta: 2 days, 14:25:11 time: 0.5155 data_time: 0.0482 memory: 18108 grad_norm: 3.2916 loss: 4.8268 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8198 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.0070 2023/01/31 14:40:57 - mmengine - INFO - Epoch(train) [21][1720/1879] lr: 6.5364e-02 eta: 2 days, 14:25:05 time: 0.5284 data_time: 0.0286 memory: 18108 grad_norm: 3.1671 loss: 4.8357 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6691 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.1666 2023/01/31 14:41:08 - mmengine - INFO - Epoch(train) [21][1740/1879] lr: 6.5392e-02 eta: 2 days, 14:24:54 time: 0.5071 data_time: 0.0360 memory: 18108 grad_norm: 3.2655 loss: 5.0425 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9395 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 2.1031 2023/01/31 14:41:18 - mmengine - INFO - Epoch(train) [21][1760/1879] lr: 6.5420e-02 eta: 2 days, 14:24:44 time: 0.5077 data_time: 0.0357 memory: 18108 grad_norm: 3.2473 loss: 4.9615 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8785 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 2.0830 2023/01/31 14:41:28 - mmengine - INFO - Epoch(train) [21][1780/1879] lr: 6.5448e-02 eta: 2 days, 14:24:37 time: 0.5248 data_time: 0.0361 memory: 18108 grad_norm: 3.1924 loss: 4.7272 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6694 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 2.0577 2023/01/31 14:41:39 - mmengine - INFO - Epoch(train) [21][1800/1879] lr: 6.5476e-02 eta: 2 days, 14:24:29 time: 0.5152 data_time: 0.0291 memory: 18108 grad_norm: 3.2765 loss: 4.8336 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8582 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 1.9753 2023/01/31 14:41:49 - mmengine - INFO - Epoch(train) [21][1820/1879] lr: 6.5505e-02 eta: 2 days, 14:24:20 time: 0.5166 data_time: 0.0421 memory: 18108 grad_norm: 3.2730 loss: 4.9927 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9598 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 2.0329 2023/01/31 14:41:59 - mmengine - INFO - Epoch(train) [21][1840/1879] lr: 6.5533e-02 eta: 2 days, 14:24:10 time: 0.5069 data_time: 0.0318 memory: 18108 grad_norm: 3.2539 loss: 4.7306 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.6810 top1_acc_1: 0.4706 top5_acc_1: 0.6706 loss_cls_1: 2.0496 2023/01/31 14:42:09 - mmengine - INFO - Epoch(train) [21][1860/1879] lr: 6.5561e-02 eta: 2 days, 14:23:59 time: 0.5082 data_time: 0.0371 memory: 18108 grad_norm: 3.2641 loss: 4.9419 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8537 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 2.0882 2023/01/31 14:42:18 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 14:42:18 - mmengine - INFO - Epoch(train) [21][1879/1879] lr: 6.5588e-02 eta: 2 days, 14:23:45 time: 0.4858 data_time: 0.0322 memory: 18108 grad_norm: 3.3154 loss: 4.8162 top1_acc_0: 0.1429 top5_acc_0: 0.7143 loss_cls_0: 2.8934 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9227 2023/01/31 14:42:33 - mmengine - INFO - Epoch(train) [22][ 20/1879] lr: 6.5616e-02 eta: 2 days, 14:24:19 time: 0.7059 data_time: 0.2676 memory: 18108 grad_norm: 3.2639 loss: 4.6435 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6193 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 2.0242 2023/01/31 14:42:43 - mmengine - INFO - Epoch(train) [22][ 40/1879] lr: 6.5644e-02 eta: 2 days, 14:23:59 time: 0.4652 data_time: 0.0330 memory: 18108 grad_norm: 3.1835 loss: 4.6704 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7065 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.9639 2023/01/31 14:42:52 - mmengine - INFO - Epoch(train) [22][ 60/1879] lr: 6.5672e-02 eta: 2 days, 14:23:42 time: 0.4761 data_time: 0.0341 memory: 18108 grad_norm: 3.2277 loss: 4.7551 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7768 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.9783 2023/01/31 14:43:02 - mmengine - INFO - Epoch(train) [22][ 80/1879] lr: 6.5700e-02 eta: 2 days, 14:23:31 time: 0.5041 data_time: 0.0418 memory: 18108 grad_norm: 3.2455 loss: 4.8262 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8210 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 2.0051 2023/01/31 14:43:12 - mmengine - INFO - Epoch(train) [22][ 100/1879] lr: 6.5729e-02 eta: 2 days, 14:23:14 time: 0.4818 data_time: 0.0390 memory: 18108 grad_norm: 3.3352 loss: 4.8689 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8777 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.9912 2023/01/31 14:43:21 - mmengine - INFO - Epoch(train) [22][ 120/1879] lr: 6.5757e-02 eta: 2 days, 14:22:57 time: 0.4764 data_time: 0.0329 memory: 18108 grad_norm: 3.2362 loss: 4.7480 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.7891 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.9589 2023/01/31 14:43:32 - mmengine - INFO - Epoch(train) [22][ 140/1879] lr: 6.5785e-02 eta: 2 days, 14:22:45 time: 0.5022 data_time: 0.0372 memory: 18108 grad_norm: 3.2688 loss: 4.8256 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8945 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 1.9311 2023/01/31 14:43:41 - mmengine - INFO - Epoch(train) [22][ 160/1879] lr: 6.5813e-02 eta: 2 days, 14:22:31 time: 0.4915 data_time: 0.0387 memory: 18108 grad_norm: 3.2287 loss: 4.8553 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.8770 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9783 2023/01/31 14:43:51 - mmengine - INFO - Epoch(train) [22][ 180/1879] lr: 6.5841e-02 eta: 2 days, 14:22:16 time: 0.4853 data_time: 0.0363 memory: 18108 grad_norm: 3.2050 loss: 4.8761 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.8586 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.0175 2023/01/31 14:44:01 - mmengine - INFO - Epoch(train) [22][ 200/1879] lr: 6.5869e-02 eta: 2 days, 14:21:59 time: 0.4801 data_time: 0.0313 memory: 18108 grad_norm: 3.2726 loss: 4.5972 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5250 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 2.0721 2023/01/31 14:44:11 - mmengine - INFO - Epoch(train) [22][ 220/1879] lr: 6.5898e-02 eta: 2 days, 14:21:49 time: 0.5076 data_time: 0.0440 memory: 18108 grad_norm: 3.3087 loss: 5.1233 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 3.0946 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 2.0288 2023/01/31 14:44:20 - mmengine - INFO - Epoch(train) [22][ 240/1879] lr: 6.5926e-02 eta: 2 days, 14:21:31 time: 0.4747 data_time: 0.0345 memory: 18108 grad_norm: 3.3037 loss: 4.9582 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 3.0269 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 1.9313 2023/01/31 14:44:30 - mmengine - INFO - Epoch(train) [22][ 260/1879] lr: 6.5954e-02 eta: 2 days, 14:21:16 time: 0.4872 data_time: 0.0356 memory: 18108 grad_norm: 3.2905 loss: 4.9114 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8949 top1_acc_1: 0.4588 top5_acc_1: 0.7059 loss_cls_1: 2.0166 2023/01/31 14:44:40 - mmengine - INFO - Epoch(train) [22][ 280/1879] lr: 6.5982e-02 eta: 2 days, 14:21:01 time: 0.4843 data_time: 0.0314 memory: 18108 grad_norm: 3.2587 loss: 4.8748 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.8059 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 2.0689 2023/01/31 14:44:50 - mmengine - INFO - Epoch(train) [22][ 300/1879] lr: 6.6010e-02 eta: 2 days, 14:20:47 time: 0.4921 data_time: 0.0426 memory: 18108 grad_norm: 3.2422 loss: 4.5459 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5455 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 2.0003 2023/01/31 14:44:59 - mmengine - INFO - Epoch(train) [22][ 320/1879] lr: 6.6039e-02 eta: 2 days, 14:20:29 time: 0.4755 data_time: 0.0336 memory: 18108 grad_norm: 3.2673 loss: 4.6124 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7192 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.8932 2023/01/31 14:45:09 - mmengine - INFO - Epoch(train) [22][ 340/1879] lr: 6.6067e-02 eta: 2 days, 14:20:15 time: 0.4907 data_time: 0.0374 memory: 18108 grad_norm: 3.2701 loss: 4.9400 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9471 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9929 2023/01/31 14:45:19 - mmengine - INFO - Epoch(train) [22][ 360/1879] lr: 6.6095e-02 eta: 2 days, 14:20:02 time: 0.4964 data_time: 0.0335 memory: 18108 grad_norm: 3.2507 loss: 4.6498 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6536 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.9962 2023/01/31 14:45:29 - mmengine - INFO - Epoch(train) [22][ 380/1879] lr: 6.6123e-02 eta: 2 days, 14:19:49 time: 0.4953 data_time: 0.0351 memory: 18108 grad_norm: 3.2238 loss: 4.7340 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7690 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.9650 2023/01/31 14:45:38 - mmengine - INFO - Epoch(train) [22][ 400/1879] lr: 6.6151e-02 eta: 2 days, 14:19:31 time: 0.4723 data_time: 0.0327 memory: 18108 grad_norm: 3.2973 loss: 4.8997 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.9469 top1_acc_1: 0.4706 top5_acc_1: 0.7882 loss_cls_1: 1.9528 2023/01/31 14:45:48 - mmengine - INFO - Epoch(train) [22][ 420/1879] lr: 6.6179e-02 eta: 2 days, 14:19:18 time: 0.4978 data_time: 0.0371 memory: 18108 grad_norm: 3.2569 loss: 4.8708 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.8092 top1_acc_1: 0.4588 top5_acc_1: 0.7294 loss_cls_1: 2.0617 2023/01/31 14:45:58 - mmengine - INFO - Epoch(train) [22][ 440/1879] lr: 6.6208e-02 eta: 2 days, 14:19:04 time: 0.4880 data_time: 0.0329 memory: 18108 grad_norm: 3.2620 loss: 4.9699 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8485 top1_acc_1: 0.5059 top5_acc_1: 0.8471 loss_cls_1: 2.1214 2023/01/31 14:46:08 - mmengine - INFO - Epoch(train) [22][ 460/1879] lr: 6.6236e-02 eta: 2 days, 14:18:49 time: 0.4859 data_time: 0.0435 memory: 18108 grad_norm: 3.2754 loss: 5.0720 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.9651 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.1069 2023/01/31 14:46:17 - mmengine - INFO - Epoch(train) [22][ 480/1879] lr: 6.6264e-02 eta: 2 days, 14:18:34 time: 0.4906 data_time: 0.0320 memory: 18108 grad_norm: 3.2457 loss: 4.8143 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7890 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0253 2023/01/31 14:46:27 - mmengine - INFO - Epoch(train) [22][ 500/1879] lr: 6.6292e-02 eta: 2 days, 14:18:22 time: 0.4972 data_time: 0.0357 memory: 18108 grad_norm: 3.2582 loss: 5.1280 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9901 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.1379 2023/01/31 14:46:37 - mmengine - INFO - Epoch(train) [22][ 520/1879] lr: 6.6320e-02 eta: 2 days, 14:18:07 time: 0.4897 data_time: 0.0326 memory: 18108 grad_norm: 3.2369 loss: 4.9691 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 3.0129 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.9562 2023/01/31 14:46:47 - mmengine - INFO - Epoch(train) [22][ 540/1879] lr: 6.6348e-02 eta: 2 days, 14:17:52 time: 0.4863 data_time: 0.0355 memory: 18108 grad_norm: 3.2471 loss: 4.8469 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7417 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 2.1052 2023/01/31 14:46:47 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 14:46:57 - mmengine - INFO - Epoch(train) [22][ 560/1879] lr: 6.6377e-02 eta: 2 days, 14:17:40 time: 0.4973 data_time: 0.0324 memory: 18108 grad_norm: 3.2031 loss: 4.7980 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.8210 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9770 2023/01/31 14:47:07 - mmengine - INFO - Epoch(train) [22][ 580/1879] lr: 6.6405e-02 eta: 2 days, 14:17:27 time: 0.4950 data_time: 0.0357 memory: 18108 grad_norm: 3.2565 loss: 4.9615 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.9165 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.0450 2023/01/31 14:47:17 - mmengine - INFO - Epoch(train) [22][ 600/1879] lr: 6.6433e-02 eta: 2 days, 14:17:17 time: 0.5109 data_time: 0.0375 memory: 18108 grad_norm: 3.3276 loss: 4.7223 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6803 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 2.0420 2023/01/31 14:47:27 - mmengine - INFO - Epoch(train) [22][ 620/1879] lr: 6.6461e-02 eta: 2 days, 14:17:08 time: 0.5147 data_time: 0.0345 memory: 18108 grad_norm: 3.3166 loss: 4.9563 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.8583 top1_acc_1: 0.5765 top5_acc_1: 0.7294 loss_cls_1: 2.0981 2023/01/31 14:47:37 - mmengine - INFO - Epoch(train) [22][ 640/1879] lr: 6.6489e-02 eta: 2 days, 14:16:58 time: 0.5074 data_time: 0.0319 memory: 18108 grad_norm: 3.2868 loss: 4.8006 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6762 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 2.1244 2023/01/31 14:47:47 - mmengine - INFO - Epoch(train) [22][ 660/1879] lr: 6.6517e-02 eta: 2 days, 14:16:45 time: 0.4989 data_time: 0.0358 memory: 18108 grad_norm: 3.2972 loss: 4.9754 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.9333 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 2.0421 2023/01/31 14:47:58 - mmengine - INFO - Epoch(train) [22][ 680/1879] lr: 6.6546e-02 eta: 2 days, 14:16:38 time: 0.5217 data_time: 0.0374 memory: 18108 grad_norm: 3.3275 loss: 5.1181 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.0404 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 2.0778 2023/01/31 14:48:08 - mmengine - INFO - Epoch(train) [22][ 700/1879] lr: 6.6574e-02 eta: 2 days, 14:16:29 time: 0.5112 data_time: 0.0347 memory: 18108 grad_norm: 3.2558 loss: 4.8964 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8072 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.0892 2023/01/31 14:48:18 - mmengine - INFO - Epoch(train) [22][ 720/1879] lr: 6.6602e-02 eta: 2 days, 14:16:16 time: 0.4996 data_time: 0.0316 memory: 18108 grad_norm: 3.2398 loss: 4.8427 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.7428 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 2.0999 2023/01/31 14:48:29 - mmengine - INFO - Epoch(train) [22][ 740/1879] lr: 6.6630e-02 eta: 2 days, 14:16:10 time: 0.5265 data_time: 0.0406 memory: 18108 grad_norm: 3.2757 loss: 5.1324 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0581 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.0743 2023/01/31 14:48:39 - mmengine - INFO - Epoch(train) [22][ 760/1879] lr: 6.6658e-02 eta: 2 days, 14:15:59 time: 0.5055 data_time: 0.0302 memory: 18108 grad_norm: 3.2896 loss: 4.8163 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7370 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0792 2023/01/31 14:48:49 - mmengine - INFO - Epoch(train) [22][ 780/1879] lr: 6.6687e-02 eta: 2 days, 14:15:48 time: 0.5021 data_time: 0.0350 memory: 18108 grad_norm: 3.2555 loss: 4.9249 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8792 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0457 2023/01/31 14:48:59 - mmengine - INFO - Epoch(train) [22][ 800/1879] lr: 6.6715e-02 eta: 2 days, 14:15:37 time: 0.5072 data_time: 0.0321 memory: 18108 grad_norm: 3.2812 loss: 4.9608 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.8454 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.1155 2023/01/31 14:49:09 - mmengine - INFO - Epoch(train) [22][ 820/1879] lr: 6.6743e-02 eta: 2 days, 14:15:31 time: 0.5254 data_time: 0.0420 memory: 18108 grad_norm: 3.2695 loss: 4.6852 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6322 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0530 2023/01/31 14:49:20 - mmengine - INFO - Epoch(train) [22][ 840/1879] lr: 6.6771e-02 eta: 2 days, 14:15:22 time: 0.5146 data_time: 0.0303 memory: 18108 grad_norm: 3.2674 loss: 4.9216 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.8744 top1_acc_1: 0.5059 top5_acc_1: 0.7059 loss_cls_1: 2.0472 2023/01/31 14:49:30 - mmengine - INFO - Epoch(train) [22][ 860/1879] lr: 6.6799e-02 eta: 2 days, 14:15:10 time: 0.4995 data_time: 0.0353 memory: 18108 grad_norm: 3.2208 loss: 4.8663 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7991 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 2.0672 2023/01/31 14:49:40 - mmengine - INFO - Epoch(train) [22][ 880/1879] lr: 6.6827e-02 eta: 2 days, 14:15:02 time: 0.5183 data_time: 0.0316 memory: 18108 grad_norm: 3.2597 loss: 5.0376 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.9332 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.1044 2023/01/31 14:49:50 - mmengine - INFO - Epoch(train) [22][ 900/1879] lr: 6.6856e-02 eta: 2 days, 14:14:52 time: 0.5120 data_time: 0.0421 memory: 18108 grad_norm: 3.2491 loss: 5.1124 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.9771 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 2.1353 2023/01/31 14:50:00 - mmengine - INFO - Epoch(train) [22][ 920/1879] lr: 6.6884e-02 eta: 2 days, 14:14:41 time: 0.5030 data_time: 0.0318 memory: 18108 grad_norm: 3.1941 loss: 4.7724 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.7467 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 2.0257 2023/01/31 14:50:10 - mmengine - INFO - Epoch(train) [22][ 940/1879] lr: 6.6912e-02 eta: 2 days, 14:14:29 time: 0.5013 data_time: 0.0347 memory: 18108 grad_norm: 3.2447 loss: 4.7903 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6741 top1_acc_1: 0.4824 top5_acc_1: 0.8118 loss_cls_1: 2.1162 2023/01/31 14:50:21 - mmengine - INFO - Epoch(train) [22][ 960/1879] lr: 6.6940e-02 eta: 2 days, 14:14:24 time: 0.5303 data_time: 0.0373 memory: 18108 grad_norm: 3.2553 loss: 4.7347 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6089 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 2.1257 2023/01/31 14:50:31 - mmengine - INFO - Epoch(train) [22][ 980/1879] lr: 6.6968e-02 eta: 2 days, 14:14:10 time: 0.4935 data_time: 0.0346 memory: 18108 grad_norm: 3.2656 loss: 4.8394 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.7669 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.0726 2023/01/31 14:50:41 - mmengine - INFO - Epoch(train) [22][1000/1879] lr: 6.6996e-02 eta: 2 days, 14:14:00 time: 0.5066 data_time: 0.0309 memory: 18108 grad_norm: 3.2587 loss: 4.9022 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8503 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 2.0519 2023/01/31 14:50:51 - mmengine - INFO - Epoch(train) [22][1020/1879] lr: 6.7025e-02 eta: 2 days, 14:13:50 time: 0.5104 data_time: 0.0352 memory: 18108 grad_norm: 3.2360 loss: 4.7353 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6507 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 2.0846 2023/01/31 14:51:01 - mmengine - INFO - Epoch(train) [22][1040/1879] lr: 6.7053e-02 eta: 2 days, 14:13:40 time: 0.5091 data_time: 0.0329 memory: 18108 grad_norm: 3.2719 loss: 4.8099 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6903 top1_acc_1: 0.4471 top5_acc_1: 0.7882 loss_cls_1: 2.1195 2023/01/31 14:51:11 - mmengine - INFO - Epoch(train) [22][1060/1879] lr: 6.7081e-02 eta: 2 days, 14:13:28 time: 0.4988 data_time: 0.0363 memory: 18108 grad_norm: 3.2627 loss: 4.8729 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7853 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 2.0875 2023/01/31 14:51:22 - mmengine - INFO - Epoch(train) [22][1080/1879] lr: 6.7109e-02 eta: 2 days, 14:13:17 time: 0.5066 data_time: 0.0319 memory: 18108 grad_norm: 3.2438 loss: 5.0853 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9030 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.1823 2023/01/31 14:51:32 - mmengine - INFO - Epoch(train) [22][1100/1879] lr: 6.7137e-02 eta: 2 days, 14:13:10 time: 0.5210 data_time: 0.0350 memory: 18108 grad_norm: 3.1774 loss: 4.9675 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.9688 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 1.9987 2023/01/31 14:51:42 - mmengine - INFO - Epoch(train) [22][1120/1879] lr: 6.7166e-02 eta: 2 days, 14:12:57 time: 0.4961 data_time: 0.0301 memory: 18108 grad_norm: 3.1737 loss: 4.7469 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.7098 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.0372 2023/01/31 14:51:52 - mmengine - INFO - Epoch(train) [22][1140/1879] lr: 6.7194e-02 eta: 2 days, 14:12:45 time: 0.5026 data_time: 0.0365 memory: 18108 grad_norm: 3.2863 loss: 4.9897 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8092 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.1805 2023/01/31 14:52:02 - mmengine - INFO - Epoch(train) [22][1160/1879] lr: 6.7222e-02 eta: 2 days, 14:12:36 time: 0.5142 data_time: 0.0317 memory: 18108 grad_norm: 3.2048 loss: 4.8061 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.7751 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 2.0309 2023/01/31 14:52:12 - mmengine - INFO - Epoch(train) [22][1180/1879] lr: 6.7250e-02 eta: 2 days, 14:12:25 time: 0.5046 data_time: 0.0339 memory: 18108 grad_norm: 3.2888 loss: 4.8570 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7575 top1_acc_1: 0.5412 top5_acc_1: 0.7059 loss_cls_1: 2.0995 2023/01/31 14:52:22 - mmengine - INFO - Epoch(train) [22][1200/1879] lr: 6.7278e-02 eta: 2 days, 14:12:14 time: 0.5020 data_time: 0.0324 memory: 18108 grad_norm: 3.2474 loss: 4.8106 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7449 top1_acc_1: 0.5529 top5_acc_1: 0.7059 loss_cls_1: 2.0657 2023/01/31 14:52:33 - mmengine - INFO - Epoch(train) [22][1220/1879] lr: 6.7306e-02 eta: 2 days, 14:12:06 time: 0.5178 data_time: 0.0403 memory: 18108 grad_norm: 3.2983 loss: 4.7975 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.7485 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 2.0490 2023/01/31 14:52:43 - mmengine - INFO - Epoch(train) [22][1240/1879] lr: 6.7335e-02 eta: 2 days, 14:11:55 time: 0.5069 data_time: 0.0266 memory: 18108 grad_norm: 3.2437 loss: 4.8385 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7707 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 2.0678 2023/01/31 14:52:53 - mmengine - INFO - Epoch(train) [22][1260/1879] lr: 6.7363e-02 eta: 2 days, 14:11:48 time: 0.5236 data_time: 0.0430 memory: 18108 grad_norm: 3.2181 loss: 4.9002 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8347 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.0656 2023/01/31 14:53:04 - mmengine - INFO - Epoch(train) [22][1280/1879] lr: 6.7391e-02 eta: 2 days, 14:11:38 time: 0.5092 data_time: 0.0304 memory: 18108 grad_norm: 3.2280 loss: 4.8684 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8373 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0311 2023/01/31 14:53:14 - mmengine - INFO - Epoch(train) [22][1300/1879] lr: 6.7419e-02 eta: 2 days, 14:11:31 time: 0.5239 data_time: 0.0379 memory: 18108 grad_norm: 3.2800 loss: 4.9330 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8339 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0991 2023/01/31 14:53:24 - mmengine - INFO - Epoch(train) [22][1320/1879] lr: 6.7447e-02 eta: 2 days, 14:11:22 time: 0.5118 data_time: 0.0352 memory: 18108 grad_norm: 3.2154 loss: 4.7362 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8294 top1_acc_1: 0.4471 top5_acc_1: 0.7529 loss_cls_1: 1.9068 2023/01/31 14:53:34 - mmengine - INFO - Epoch(train) [22][1340/1879] lr: 6.7475e-02 eta: 2 days, 14:11:11 time: 0.5047 data_time: 0.0353 memory: 18108 grad_norm: 3.2052 loss: 4.9224 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7707 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.1516 2023/01/31 14:53:45 - mmengine - INFO - Epoch(train) [22][1360/1879] lr: 6.7504e-02 eta: 2 days, 14:11:02 time: 0.5145 data_time: 0.0292 memory: 18108 grad_norm: 3.2930 loss: 4.8249 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7717 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 2.0532 2023/01/31 14:53:55 - mmengine - INFO - Epoch(train) [22][1380/1879] lr: 6.7532e-02 eta: 2 days, 14:10:52 time: 0.5114 data_time: 0.0425 memory: 18108 grad_norm: 3.2195 loss: 4.8992 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.8839 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 2.0153 2023/01/31 14:54:05 - mmengine - INFO - Epoch(train) [22][1400/1879] lr: 6.7560e-02 eta: 2 days, 14:10:42 time: 0.5051 data_time: 0.0343 memory: 18108 grad_norm: 3.2138 loss: 4.9824 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9166 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.0658 2023/01/31 14:54:15 - mmengine - INFO - Epoch(train) [22][1420/1879] lr: 6.7588e-02 eta: 2 days, 14:10:29 time: 0.4982 data_time: 0.0313 memory: 18108 grad_norm: 3.2297 loss: 4.7974 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7627 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 2.0347 2023/01/31 14:54:25 - mmengine - INFO - Epoch(train) [22][1440/1879] lr: 6.7616e-02 eta: 2 days, 14:10:19 time: 0.5075 data_time: 0.0360 memory: 18108 grad_norm: 3.2824 loss: 4.9125 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7685 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 2.1440 2023/01/31 14:54:35 - mmengine - INFO - Epoch(train) [22][1460/1879] lr: 6.7645e-02 eta: 2 days, 14:10:09 time: 0.5085 data_time: 0.0393 memory: 18108 grad_norm: 3.2205 loss: 5.2681 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.1164 top1_acc_1: 0.6118 top5_acc_1: 0.7412 loss_cls_1: 2.1517 2023/01/31 14:54:45 - mmengine - INFO - Epoch(train) [22][1480/1879] lr: 6.7673e-02 eta: 2 days, 14:09:58 time: 0.5068 data_time: 0.0351 memory: 18108 grad_norm: 3.2546 loss: 5.0588 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.9977 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 2.0611 2023/01/31 14:54:56 - mmengine - INFO - Epoch(train) [22][1500/1879] lr: 6.7701e-02 eta: 2 days, 14:09:50 time: 0.5166 data_time: 0.0335 memory: 18108 grad_norm: 3.1842 loss: 4.8842 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7620 top1_acc_1: 0.5529 top5_acc_1: 0.7059 loss_cls_1: 2.1223 2023/01/31 14:55:06 - mmengine - INFO - Epoch(train) [22][1520/1879] lr: 6.7729e-02 eta: 2 days, 14:09:37 time: 0.4988 data_time: 0.0418 memory: 18108 grad_norm: 3.1834 loss: 4.7043 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7240 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.9804 2023/01/31 14:55:16 - mmengine - INFO - Epoch(train) [22][1540/1879] lr: 6.7757e-02 eta: 2 days, 14:09:30 time: 0.5207 data_time: 0.0327 memory: 18108 grad_norm: 3.2547 loss: 4.6952 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5807 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 2.1145 2023/01/31 14:55:17 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 14:55:26 - mmengine - INFO - Epoch(train) [22][1560/1879] lr: 6.7785e-02 eta: 2 days, 14:09:20 time: 0.5098 data_time: 0.0345 memory: 18108 grad_norm: 3.2492 loss: 4.7193 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.6278 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 2.0915 2023/01/31 14:55:37 - mmengine - INFO - Epoch(train) [22][1580/1879] lr: 6.7814e-02 eta: 2 days, 14:09:11 time: 0.5130 data_time: 0.0396 memory: 18108 grad_norm: 3.2073 loss: 5.0114 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9465 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 2.0649 2023/01/31 14:55:47 - mmengine - INFO - Epoch(train) [22][1600/1879] lr: 6.7842e-02 eta: 2 days, 14:09:00 time: 0.5043 data_time: 0.0333 memory: 18108 grad_norm: 3.2947 loss: 5.1783 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.0971 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.0811 2023/01/31 14:55:57 - mmengine - INFO - Epoch(train) [22][1620/1879] lr: 6.7870e-02 eta: 2 days, 14:08:49 time: 0.5059 data_time: 0.0322 memory: 18108 grad_norm: 3.1836 loss: 4.7895 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6472 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.1423 2023/01/31 14:56:07 - mmengine - INFO - Epoch(train) [22][1640/1879] lr: 6.7898e-02 eta: 2 days, 14:08:40 time: 0.5154 data_time: 0.0420 memory: 18108 grad_norm: 3.1901 loss: 4.9130 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.7626 top1_acc_1: 0.3882 top5_acc_1: 0.7059 loss_cls_1: 2.1504 2023/01/31 14:56:17 - mmengine - INFO - Epoch(train) [22][1660/1879] lr: 6.7926e-02 eta: 2 days, 14:08:29 time: 0.5030 data_time: 0.0306 memory: 18108 grad_norm: 3.2203 loss: 4.7414 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7379 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 2.0034 2023/01/31 14:56:27 - mmengine - INFO - Epoch(train) [22][1680/1879] lr: 6.7954e-02 eta: 2 days, 14:08:16 time: 0.4973 data_time: 0.0335 memory: 18108 grad_norm: 3.1991 loss: 4.6513 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6605 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9908 2023/01/31 14:56:38 - mmengine - INFO - Epoch(train) [22][1700/1879] lr: 6.7983e-02 eta: 2 days, 14:08:08 time: 0.5200 data_time: 0.0310 memory: 18108 grad_norm: 3.2204 loss: 4.8558 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8507 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 2.0051 2023/01/31 14:56:48 - mmengine - INFO - Epoch(train) [22][1720/1879] lr: 6.8011e-02 eta: 2 days, 14:08:02 time: 0.5240 data_time: 0.0352 memory: 18108 grad_norm: 3.1782 loss: 4.9374 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8572 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0802 2023/01/31 14:56:58 - mmengine - INFO - Epoch(train) [22][1740/1879] lr: 6.8039e-02 eta: 2 days, 14:07:52 time: 0.5122 data_time: 0.0317 memory: 18108 grad_norm: 3.1755 loss: 4.8099 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.6467 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.1632 2023/01/31 14:57:09 - mmengine - INFO - Epoch(train) [22][1760/1879] lr: 6.8067e-02 eta: 2 days, 14:07:46 time: 0.5256 data_time: 0.0358 memory: 18108 grad_norm: 3.2523 loss: 5.1154 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 3.1027 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 2.0127 2023/01/31 14:57:19 - mmengine - INFO - Epoch(train) [22][1780/1879] lr: 6.8095e-02 eta: 2 days, 14:07:38 time: 0.5205 data_time: 0.0414 memory: 18108 grad_norm: 3.2158 loss: 5.2362 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.0428 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.1933 2023/01/31 14:57:29 - mmengine - INFO - Epoch(train) [22][1800/1879] lr: 6.8124e-02 eta: 2 days, 14:07:27 time: 0.5036 data_time: 0.0334 memory: 18108 grad_norm: 3.2190 loss: 4.8413 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7410 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.1003 2023/01/31 14:57:40 - mmengine - INFO - Epoch(train) [22][1820/1879] lr: 6.8152e-02 eta: 2 days, 14:07:19 time: 0.5210 data_time: 0.0315 memory: 18108 grad_norm: 3.2291 loss: 5.2379 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.0501 top1_acc_1: 0.5059 top5_acc_1: 0.6471 loss_cls_1: 2.1878 2023/01/31 14:57:50 - mmengine - INFO - Epoch(train) [22][1840/1879] lr: 6.8180e-02 eta: 2 days, 14:07:11 time: 0.5186 data_time: 0.0371 memory: 18108 grad_norm: 3.2213 loss: 5.0949 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9985 top1_acc_1: 0.4706 top5_acc_1: 0.7882 loss_cls_1: 2.0964 2023/01/31 14:58:00 - mmengine - INFO - Epoch(train) [22][1860/1879] lr: 6.8208e-02 eta: 2 days, 14:07:03 time: 0.5155 data_time: 0.0388 memory: 18108 grad_norm: 3.2020 loss: 4.9159 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7226 top1_acc_1: 0.4471 top5_acc_1: 0.6706 loss_cls_1: 2.1933 2023/01/31 14:58:10 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 14:58:10 - mmengine - INFO - Epoch(train) [22][1879/1879] lr: 6.8235e-02 eta: 2 days, 14:06:47 time: 0.4819 data_time: 0.0276 memory: 18108 grad_norm: 3.2221 loss: 5.0018 top1_acc_0: 0.2857 top5_acc_0: 0.7143 loss_cls_0: 2.8853 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.1164 2023/01/31 14:59:23 - mmengine - INFO - Epoch(train) [23][ 20/1879] lr: 6.8263e-02 eta: 2 days, 14:17:41 time: 3.6313 data_time: 3.1798 memory: 18108 grad_norm: 3.2244 loss: 5.0492 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9475 top1_acc_1: 0.4706 top5_acc_1: 0.6941 loss_cls_1: 2.1018 2023/01/31 14:59:32 - mmengine - INFO - Epoch(train) [23][ 40/1879] lr: 6.8291e-02 eta: 2 days, 14:17:21 time: 0.4656 data_time: 0.0337 memory: 18108 grad_norm: 3.1532 loss: 4.8674 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8400 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0273 2023/01/31 14:59:42 - mmengine - INFO - Epoch(train) [23][ 60/1879] lr: 6.8319e-02 eta: 2 days, 14:17:02 time: 0.4706 data_time: 0.0353 memory: 18108 grad_norm: 3.2779 loss: 4.7414 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.8600 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8814 2023/01/31 14:59:52 - mmengine - INFO - Epoch(train) [23][ 80/1879] lr: 6.8347e-02 eta: 2 days, 14:16:54 time: 0.5198 data_time: 0.0426 memory: 18108 grad_norm: 3.1911 loss: 4.8627 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8975 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9652 2023/01/31 15:00:02 - mmengine - INFO - Epoch(train) [23][ 100/1879] lr: 6.8376e-02 eta: 2 days, 14:16:38 time: 0.4827 data_time: 0.0354 memory: 18108 grad_norm: 3.1810 loss: 4.7388 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.7228 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0161 2023/01/31 15:00:11 - mmengine - INFO - Epoch(train) [23][ 120/1879] lr: 6.8404e-02 eta: 2 days, 14:16:23 time: 0.4848 data_time: 0.0355 memory: 18108 grad_norm: 3.1614 loss: 4.8317 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.8158 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0159 2023/01/31 15:00:21 - mmengine - INFO - Epoch(train) [23][ 140/1879] lr: 6.8432e-02 eta: 2 days, 14:16:10 time: 0.4992 data_time: 0.0346 memory: 18108 grad_norm: 3.2153 loss: 4.6526 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6248 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.0278 2023/01/31 15:00:31 - mmengine - INFO - Epoch(train) [23][ 160/1879] lr: 6.8460e-02 eta: 2 days, 14:15:57 time: 0.4962 data_time: 0.0381 memory: 18108 grad_norm: 3.2575 loss: 5.0103 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9900 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.0204 2023/01/31 15:00:41 - mmengine - INFO - Epoch(train) [23][ 180/1879] lr: 6.8488e-02 eta: 2 days, 14:15:40 time: 0.4793 data_time: 0.0350 memory: 18108 grad_norm: 3.2938 loss: 4.7099 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.6925 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 2.0175 2023/01/31 15:00:50 - mmengine - INFO - Epoch(train) [23][ 200/1879] lr: 6.8517e-02 eta: 2 days, 14:15:24 time: 0.4831 data_time: 0.0329 memory: 18108 grad_norm: 3.2721 loss: 5.0799 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9676 top1_acc_1: 0.4941 top5_acc_1: 0.8235 loss_cls_1: 2.1122 2023/01/31 15:01:01 - mmengine - INFO - Epoch(train) [23][ 220/1879] lr: 6.8545e-02 eta: 2 days, 14:15:13 time: 0.5035 data_time: 0.0416 memory: 18108 grad_norm: 3.2248 loss: 4.7729 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.7626 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 2.0103 2023/01/31 15:01:10 - mmengine - INFO - Epoch(train) [23][ 240/1879] lr: 6.8573e-02 eta: 2 days, 14:14:56 time: 0.4797 data_time: 0.0340 memory: 18108 grad_norm: 3.1713 loss: 4.6939 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7386 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.9554 2023/01/31 15:01:20 - mmengine - INFO - Epoch(train) [23][ 260/1879] lr: 6.8601e-02 eta: 2 days, 14:14:39 time: 0.4781 data_time: 0.0358 memory: 18108 grad_norm: 3.2439 loss: 4.9197 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8933 top1_acc_1: 0.5059 top5_acc_1: 0.6824 loss_cls_1: 2.0264 2023/01/31 15:01:30 - mmengine - INFO - Epoch(train) [23][ 280/1879] lr: 6.8629e-02 eta: 2 days, 14:14:26 time: 0.4956 data_time: 0.0332 memory: 18108 grad_norm: 3.2627 loss: 5.0021 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.9839 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 2.0182 2023/01/31 15:01:39 - mmengine - INFO - Epoch(train) [23][ 300/1879] lr: 6.8657e-02 eta: 2 days, 14:14:12 time: 0.4891 data_time: 0.0356 memory: 18108 grad_norm: 3.2111 loss: 4.6611 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.5634 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 2.0977 2023/01/31 15:01:49 - mmengine - INFO - Epoch(train) [23][ 320/1879] lr: 6.8686e-02 eta: 2 days, 14:13:56 time: 0.4851 data_time: 0.0327 memory: 18108 grad_norm: 3.1895 loss: 4.8896 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8551 top1_acc_1: 0.5412 top5_acc_1: 0.6941 loss_cls_1: 2.0345 2023/01/31 15:01:59 - mmengine - INFO - Epoch(train) [23][ 340/1879] lr: 6.8714e-02 eta: 2 days, 14:13:43 time: 0.4952 data_time: 0.0339 memory: 18108 grad_norm: 3.2550 loss: 4.9011 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.8273 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.0738 2023/01/31 15:02:09 - mmengine - INFO - Epoch(train) [23][ 360/1879] lr: 6.8742e-02 eta: 2 days, 14:13:29 time: 0.4909 data_time: 0.0339 memory: 18108 grad_norm: 3.3139 loss: 4.8378 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7544 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.0834 2023/01/31 15:02:19 - mmengine - INFO - Epoch(train) [23][ 380/1879] lr: 6.8770e-02 eta: 2 days, 14:13:15 time: 0.4930 data_time: 0.0410 memory: 18108 grad_norm: 3.2606 loss: 4.9417 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8636 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 2.0781 2023/01/31 15:02:28 - mmengine - INFO - Epoch(train) [23][ 400/1879] lr: 6.8798e-02 eta: 2 days, 14:12:58 time: 0.4802 data_time: 0.0334 memory: 18108 grad_norm: 3.2883 loss: 4.8742 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8194 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.0548 2023/01/31 15:02:38 - mmengine - INFO - Epoch(train) [23][ 420/1879] lr: 6.8826e-02 eta: 2 days, 14:12:46 time: 0.4974 data_time: 0.0367 memory: 18108 grad_norm: 3.2461 loss: 5.0142 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8783 top1_acc_1: 0.5647 top5_acc_1: 0.7059 loss_cls_1: 2.1359 2023/01/31 15:02:53 - mmengine - INFO - Epoch(train) [23][ 440/1879] lr: 6.8855e-02 eta: 2 days, 14:13:19 time: 0.7178 data_time: 0.0329 memory: 18108 grad_norm: 3.2233 loss: 5.0269 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9679 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 2.0590 2023/01/31 15:03:02 - mmengine - INFO - Epoch(train) [23][ 460/1879] lr: 6.8883e-02 eta: 2 days, 14:13:04 time: 0.4877 data_time: 0.0405 memory: 18108 grad_norm: 3.2255 loss: 4.6823 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6700 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 2.0123 2023/01/31 15:03:12 - mmengine - INFO - Epoch(train) [23][ 480/1879] lr: 6.8911e-02 eta: 2 days, 14:12:53 time: 0.5030 data_time: 0.0323 memory: 18108 grad_norm: 3.2580 loss: 4.9238 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8350 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.0888 2023/01/31 15:03:22 - mmengine - INFO - Epoch(train) [23][ 500/1879] lr: 6.8939e-02 eta: 2 days, 14:12:39 time: 0.4940 data_time: 0.0336 memory: 18108 grad_norm: 3.2599 loss: 5.0160 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.9830 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.0330 2023/01/31 15:03:32 - mmengine - INFO - Epoch(train) [23][ 520/1879] lr: 6.8967e-02 eta: 2 days, 14:12:23 time: 0.4835 data_time: 0.0354 memory: 18108 grad_norm: 3.2079 loss: 4.8043 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7647 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 2.0396 2023/01/31 15:03:42 - mmengine - INFO - Epoch(train) [23][ 540/1879] lr: 6.8996e-02 eta: 2 days, 14:12:11 time: 0.4979 data_time: 0.0350 memory: 18108 grad_norm: 3.1842 loss: 4.9432 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.8730 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.0702 2023/01/31 15:03:52 - mmengine - INFO - Epoch(train) [23][ 560/1879] lr: 6.9024e-02 eta: 2 days, 14:11:55 time: 0.4865 data_time: 0.0326 memory: 18108 grad_norm: 3.2132 loss: 4.8280 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8607 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.9673 2023/01/31 15:04:02 - mmengine - INFO - Epoch(train) [23][ 580/1879] lr: 6.9052e-02 eta: 2 days, 14:11:42 time: 0.4924 data_time: 0.0338 memory: 18108 grad_norm: 3.2657 loss: 4.9315 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8402 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0913 2023/01/31 15:04:11 - mmengine - INFO - Epoch(train) [23][ 600/1879] lr: 6.9080e-02 eta: 2 days, 14:11:27 time: 0.4873 data_time: 0.0329 memory: 18108 grad_norm: 3.1564 loss: 4.8577 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7690 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0887 2023/01/31 15:04:21 - mmengine - INFO - Epoch(train) [23][ 620/1879] lr: 6.9108e-02 eta: 2 days, 14:11:14 time: 0.5005 data_time: 0.0403 memory: 18108 grad_norm: 3.2009 loss: 4.8389 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7724 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 2.0665 2023/01/31 15:04:31 - mmengine - INFO - Epoch(train) [23][ 640/1879] lr: 6.9136e-02 eta: 2 days, 14:10:59 time: 0.4842 data_time: 0.0337 memory: 18108 grad_norm: 3.2114 loss: 4.7214 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.7114 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 2.0100 2023/01/31 15:04:41 - mmengine - INFO - Epoch(train) [23][ 660/1879] lr: 6.9165e-02 eta: 2 days, 14:10:45 time: 0.4906 data_time: 0.0345 memory: 18108 grad_norm: 3.2495 loss: 4.7075 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.6666 top1_acc_1: 0.4588 top5_acc_1: 0.7882 loss_cls_1: 2.0409 2023/01/31 15:04:42 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 15:04:51 - mmengine - INFO - Epoch(train) [23][ 680/1879] lr: 6.9193e-02 eta: 2 days, 14:10:29 time: 0.4854 data_time: 0.0314 memory: 18108 grad_norm: 3.2211 loss: 5.0086 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9238 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 2.0848 2023/01/31 15:05:00 - mmengine - INFO - Epoch(train) [23][ 700/1879] lr: 6.9221e-02 eta: 2 days, 14:10:17 time: 0.4985 data_time: 0.0415 memory: 18108 grad_norm: 3.2385 loss: 4.8758 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.8417 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0341 2023/01/31 15:05:10 - mmengine - INFO - Epoch(train) [23][ 720/1879] lr: 6.9249e-02 eta: 2 days, 14:10:02 time: 0.4862 data_time: 0.0323 memory: 18108 grad_norm: 3.2346 loss: 4.5296 top1_acc_0: 0.1250 top5_acc_0: 0.6875 loss_cls_0: 2.4704 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 2.0593 2023/01/31 15:05:20 - mmengine - INFO - Epoch(train) [23][ 740/1879] lr: 6.9277e-02 eta: 2 days, 14:09:48 time: 0.4956 data_time: 0.0356 memory: 18108 grad_norm: 3.2329 loss: 4.8637 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.8078 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0559 2023/01/31 15:05:30 - mmengine - INFO - Epoch(train) [23][ 760/1879] lr: 6.9305e-02 eta: 2 days, 14:09:34 time: 0.4890 data_time: 0.0399 memory: 18108 grad_norm: 3.1802 loss: 4.8533 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.7767 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.0766 2023/01/31 15:05:40 - mmengine - INFO - Epoch(train) [23][ 780/1879] lr: 6.9334e-02 eta: 2 days, 14:09:21 time: 0.4945 data_time: 0.0346 memory: 18108 grad_norm: 3.2012 loss: 4.9544 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.8577 top1_acc_1: 0.5412 top5_acc_1: 0.7059 loss_cls_1: 2.0968 2023/01/31 15:05:50 - mmengine - INFO - Epoch(train) [23][ 800/1879] lr: 6.9362e-02 eta: 2 days, 14:09:06 time: 0.4872 data_time: 0.0344 memory: 18108 grad_norm: 3.2255 loss: 4.8042 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7875 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 2.0166 2023/01/31 15:05:59 - mmengine - INFO - Epoch(train) [23][ 820/1879] lr: 6.9390e-02 eta: 2 days, 14:08:51 time: 0.4872 data_time: 0.0360 memory: 18108 grad_norm: 3.2678 loss: 4.4419 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4379 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.0040 2023/01/31 15:06:09 - mmengine - INFO - Epoch(train) [23][ 840/1879] lr: 6.9418e-02 eta: 2 days, 14:08:36 time: 0.4896 data_time: 0.0409 memory: 18108 grad_norm: 3.2252 loss: 4.7948 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7309 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.0640 2023/01/31 15:06:19 - mmengine - INFO - Epoch(train) [23][ 860/1879] lr: 6.9446e-02 eta: 2 days, 14:08:22 time: 0.4885 data_time: 0.0327 memory: 18108 grad_norm: 3.2050 loss: 4.5758 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5221 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 2.0537 2023/01/31 15:06:29 - mmengine - INFO - Epoch(train) [23][ 880/1879] lr: 6.9475e-02 eta: 2 days, 14:08:06 time: 0.4857 data_time: 0.0310 memory: 18108 grad_norm: 3.2327 loss: 4.8735 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8564 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0172 2023/01/31 15:06:39 - mmengine - INFO - Epoch(train) [23][ 900/1879] lr: 6.9503e-02 eta: 2 days, 14:07:54 time: 0.4979 data_time: 0.0337 memory: 18108 grad_norm: 3.2404 loss: 5.0747 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.9606 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 2.1141 2023/01/31 15:06:48 - mmengine - INFO - Epoch(train) [23][ 920/1879] lr: 6.9531e-02 eta: 2 days, 14:07:40 time: 0.4930 data_time: 0.0372 memory: 18108 grad_norm: 3.2070 loss: 4.9692 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.8972 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 2.0720 2023/01/31 15:06:58 - mmengine - INFO - Epoch(train) [23][ 940/1879] lr: 6.9559e-02 eta: 2 days, 14:07:28 time: 0.5007 data_time: 0.0360 memory: 18108 grad_norm: 3.2711 loss: 5.0096 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8139 top1_acc_1: 0.4000 top5_acc_1: 0.7647 loss_cls_1: 2.1956 2023/01/31 15:07:08 - mmengine - INFO - Epoch(train) [23][ 960/1879] lr: 6.9587e-02 eta: 2 days, 14:07:14 time: 0.4887 data_time: 0.0329 memory: 18108 grad_norm: 3.2238 loss: 4.9254 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8235 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 2.1018 2023/01/31 15:07:18 - mmengine - INFO - Epoch(train) [23][ 980/1879] lr: 6.9615e-02 eta: 2 days, 14:06:59 time: 0.4900 data_time: 0.0337 memory: 18108 grad_norm: 3.2250 loss: 5.0705 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9770 top1_acc_1: 0.6353 top5_acc_1: 0.7529 loss_cls_1: 2.0935 2023/01/31 15:07:28 - mmengine - INFO - Epoch(train) [23][1000/1879] lr: 6.9644e-02 eta: 2 days, 14:06:48 time: 0.5046 data_time: 0.0419 memory: 18108 grad_norm: 3.2437 loss: 5.0796 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0129 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 2.0667 2023/01/31 15:07:38 - mmengine - INFO - Epoch(train) [23][1020/1879] lr: 6.9672e-02 eta: 2 days, 14:06:36 time: 0.4992 data_time: 0.0356 memory: 18108 grad_norm: 3.1796 loss: 4.9797 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8677 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.1120 2023/01/31 15:07:48 - mmengine - INFO - Epoch(train) [23][1040/1879] lr: 6.9700e-02 eta: 2 days, 14:06:25 time: 0.5053 data_time: 0.0335 memory: 18108 grad_norm: 3.1773 loss: 4.9333 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8119 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 2.1213 2023/01/31 15:07:58 - mmengine - INFO - Epoch(train) [23][1060/1879] lr: 6.9728e-02 eta: 2 days, 14:06:11 time: 0.4948 data_time: 0.0345 memory: 18108 grad_norm: 3.1790 loss: 4.7547 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7307 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 2.0240 2023/01/31 15:08:08 - mmengine - INFO - Epoch(train) [23][1080/1879] lr: 6.9756e-02 eta: 2 days, 14:05:58 time: 0.4958 data_time: 0.0316 memory: 18108 grad_norm: 3.1842 loss: 5.0009 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8865 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.1144 2023/01/31 15:08:18 - mmengine - INFO - Epoch(train) [23][1100/1879] lr: 6.9784e-02 eta: 2 days, 14:05:49 time: 0.5156 data_time: 0.0347 memory: 18108 grad_norm: 3.2041 loss: 4.7678 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7708 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.9970 2023/01/31 15:08:28 - mmengine - INFO - Epoch(train) [23][1120/1879] lr: 6.9813e-02 eta: 2 days, 14:05:36 time: 0.4957 data_time: 0.0336 memory: 18108 grad_norm: 3.2178 loss: 5.0200 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9727 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 2.0473 2023/01/31 15:08:38 - mmengine - INFO - Epoch(train) [23][1140/1879] lr: 6.9841e-02 eta: 2 days, 14:05:24 time: 0.5015 data_time: 0.0328 memory: 18108 grad_norm: 3.2374 loss: 4.8799 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8153 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 2.0647 2023/01/31 15:08:48 - mmengine - INFO - Epoch(train) [23][1160/1879] lr: 6.9869e-02 eta: 2 days, 14:05:12 time: 0.5001 data_time: 0.0373 memory: 18108 grad_norm: 3.1595 loss: 4.8742 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8930 top1_acc_1: 0.5765 top5_acc_1: 0.8824 loss_cls_1: 1.9812 2023/01/31 15:08:58 - mmengine - INFO - Epoch(train) [23][1180/1879] lr: 6.9897e-02 eta: 2 days, 14:05:02 time: 0.5082 data_time: 0.0366 memory: 18108 grad_norm: 3.1611 loss: 4.8964 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.8426 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.0537 2023/01/31 15:09:08 - mmengine - INFO - Epoch(train) [23][1200/1879] lr: 6.9925e-02 eta: 2 days, 14:04:49 time: 0.5005 data_time: 0.0331 memory: 18108 grad_norm: 3.1803 loss: 4.5740 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5792 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.9947 2023/01/31 15:09:19 - mmengine - INFO - Epoch(train) [23][1220/1879] lr: 6.9954e-02 eta: 2 days, 14:04:38 time: 0.5048 data_time: 0.0426 memory: 18108 grad_norm: 3.2216 loss: 4.8221 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.7607 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 2.0614 2023/01/31 15:09:29 - mmengine - INFO - Epoch(train) [23][1240/1879] lr: 6.9982e-02 eta: 2 days, 14:04:30 time: 0.5175 data_time: 0.0326 memory: 18108 grad_norm: 3.1983 loss: 5.0257 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.0253 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 2.0004 2023/01/31 15:09:39 - mmengine - INFO - Epoch(train) [23][1260/1879] lr: 7.0010e-02 eta: 2 days, 14:04:17 time: 0.4992 data_time: 0.0358 memory: 18108 grad_norm: 3.1678 loss: 4.9703 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.9359 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 2.0343 2023/01/31 15:09:49 - mmengine - INFO - Epoch(train) [23][1280/1879] lr: 7.0038e-02 eta: 2 days, 14:04:04 time: 0.4954 data_time: 0.0316 memory: 18108 grad_norm: 3.2218 loss: 5.0600 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 3.0993 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.9607 2023/01/31 15:09:59 - mmengine - INFO - Epoch(train) [23][1300/1879] lr: 7.0066e-02 eta: 2 days, 14:03:54 time: 0.5108 data_time: 0.0342 memory: 18108 grad_norm: 3.2150 loss: 4.9374 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.9203 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.0172 2023/01/31 15:10:09 - mmengine - INFO - Epoch(train) [23][1320/1879] lr: 7.0094e-02 eta: 2 days, 14:03:43 time: 0.5035 data_time: 0.0346 memory: 18108 grad_norm: 3.2311 loss: 5.0528 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.9900 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.0628 2023/01/31 15:10:19 - mmengine - INFO - Epoch(train) [23][1340/1879] lr: 7.0123e-02 eta: 2 days, 14:03:30 time: 0.4984 data_time: 0.0331 memory: 18108 grad_norm: 3.2093 loss: 4.9020 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7828 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.1193 2023/01/31 15:10:29 - mmengine - INFO - Epoch(train) [23][1360/1879] lr: 7.0151e-02 eta: 2 days, 14:03:17 time: 0.4935 data_time: 0.0325 memory: 18108 grad_norm: 3.1613 loss: 4.8342 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.8241 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 2.0100 2023/01/31 15:10:39 - mmengine - INFO - Epoch(train) [23][1380/1879] lr: 7.0179e-02 eta: 2 days, 14:03:09 time: 0.5195 data_time: 0.0427 memory: 18108 grad_norm: 3.1977 loss: 4.7093 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6455 top1_acc_1: 0.5882 top5_acc_1: 0.7294 loss_cls_1: 2.0638 2023/01/31 15:10:49 - mmengine - INFO - Epoch(train) [23][1400/1879] lr: 7.0207e-02 eta: 2 days, 14:02:54 time: 0.4888 data_time: 0.0316 memory: 18108 grad_norm: 3.1634 loss: 4.6905 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6987 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.9917 2023/01/31 15:10:59 - mmengine - INFO - Epoch(train) [23][1420/1879] lr: 7.0235e-02 eta: 2 days, 14:02:40 time: 0.4923 data_time: 0.0345 memory: 18108 grad_norm: 3.2253 loss: 4.9314 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7330 top1_acc_1: 0.5765 top5_acc_1: 0.7059 loss_cls_1: 2.1984 2023/01/31 15:11:09 - mmengine - INFO - Epoch(train) [23][1440/1879] lr: 7.0263e-02 eta: 2 days, 14:02:29 time: 0.5019 data_time: 0.0339 memory: 18108 grad_norm: 3.2158 loss: 5.0968 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9733 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.1235 2023/01/31 15:11:19 - mmengine - INFO - Epoch(train) [23][1460/1879] lr: 7.0292e-02 eta: 2 days, 14:02:17 time: 0.5018 data_time: 0.0364 memory: 18108 grad_norm: 3.1566 loss: 4.7604 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8078 top1_acc_1: 0.4941 top5_acc_1: 0.8118 loss_cls_1: 1.9526 2023/01/31 15:11:29 - mmengine - INFO - Epoch(train) [23][1480/1879] lr: 7.0320e-02 eta: 2 days, 14:02:02 time: 0.4866 data_time: 0.0326 memory: 18108 grad_norm: 3.1113 loss: 4.5700 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5517 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.0184 2023/01/31 15:11:39 - mmengine - INFO - Epoch(train) [23][1500/1879] lr: 7.0348e-02 eta: 2 days, 14:01:52 time: 0.5116 data_time: 0.0362 memory: 18108 grad_norm: 3.2218 loss: 4.7588 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.8020 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.9568 2023/01/31 15:11:49 - mmengine - INFO - Epoch(train) [23][1520/1879] lr: 7.0376e-02 eta: 2 days, 14:01:40 time: 0.4985 data_time: 0.0347 memory: 18108 grad_norm: 3.1942 loss: 4.7936 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8404 top1_acc_1: 0.4706 top5_acc_1: 0.6706 loss_cls_1: 1.9532 2023/01/31 15:11:59 - mmengine - INFO - Epoch(train) [23][1540/1879] lr: 7.0404e-02 eta: 2 days, 14:01:29 time: 0.5093 data_time: 0.0430 memory: 18108 grad_norm: 3.1660 loss: 4.9559 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8158 top1_acc_1: 0.4588 top5_acc_1: 0.6824 loss_cls_1: 2.1401 2023/01/31 15:12:09 - mmengine - INFO - Epoch(train) [23][1560/1879] lr: 7.0432e-02 eta: 2 days, 14:01:17 time: 0.4989 data_time: 0.0315 memory: 18108 grad_norm: 3.2055 loss: 4.9167 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.7732 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.1435 2023/01/31 15:12:19 - mmengine - INFO - Epoch(train) [23][1580/1879] lr: 7.0461e-02 eta: 2 days, 14:01:07 time: 0.5090 data_time: 0.0340 memory: 18108 grad_norm: 3.2114 loss: 4.7866 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.8322 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.9544 2023/01/31 15:12:30 - mmengine - INFO - Epoch(train) [23][1600/1879] lr: 7.0489e-02 eta: 2 days, 14:00:57 time: 0.5137 data_time: 0.0316 memory: 18108 grad_norm: 3.2669 loss: 4.9904 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9646 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0258 2023/01/31 15:12:39 - mmengine - INFO - Epoch(train) [23][1620/1879] lr: 7.0517e-02 eta: 2 days, 14:00:43 time: 0.4885 data_time: 0.0346 memory: 18108 grad_norm: 3.2320 loss: 5.0442 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9696 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0746 2023/01/31 15:12:50 - mmengine - INFO - Epoch(train) [23][1640/1879] lr: 7.0545e-02 eta: 2 days, 14:00:33 time: 0.5120 data_time: 0.0347 memory: 18108 grad_norm: 3.2087 loss: 4.9322 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8708 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 2.0614 2023/01/31 15:13:00 - mmengine - INFO - Epoch(train) [23][1660/1879] lr: 7.0573e-02 eta: 2 days, 14:00:23 time: 0.5090 data_time: 0.0357 memory: 18108 grad_norm: 3.2075 loss: 4.8806 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7574 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 2.1232 2023/01/31 15:13:01 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 15:13:10 - mmengine - INFO - Epoch(train) [23][1680/1879] lr: 7.0602e-02 eta: 2 days, 14:00:10 time: 0.4975 data_time: 0.0324 memory: 18108 grad_norm: 3.2503 loss: 5.0631 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.8734 top1_acc_1: 0.6000 top5_acc_1: 0.7294 loss_cls_1: 2.1897 2023/01/31 15:13:20 - mmengine - INFO - Epoch(train) [23][1700/1879] lr: 7.0630e-02 eta: 2 days, 13:59:59 time: 0.5045 data_time: 0.0364 memory: 18108 grad_norm: 3.2050 loss: 4.7373 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7351 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0022 2023/01/31 15:13:30 - mmengine - INFO - Epoch(train) [23][1720/1879] lr: 7.0658e-02 eta: 2 days, 13:59:47 time: 0.5024 data_time: 0.0330 memory: 18108 grad_norm: 3.2437 loss: 4.9400 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8417 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.0982 2023/01/31 15:13:40 - mmengine - INFO - Epoch(train) [23][1740/1879] lr: 7.0686e-02 eta: 2 days, 13:59:38 time: 0.5165 data_time: 0.0347 memory: 18108 grad_norm: 3.1998 loss: 5.0235 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0384 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 1.9851 2023/01/31 15:13:50 - mmengine - INFO - Epoch(train) [23][1760/1879] lr: 7.0714e-02 eta: 2 days, 13:59:24 time: 0.4892 data_time: 0.0320 memory: 18108 grad_norm: 3.1703 loss: 4.8876 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8052 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.0824 2023/01/31 15:14:00 - mmengine - INFO - Epoch(train) [23][1780/1879] lr: 7.0742e-02 eta: 2 days, 13:59:16 time: 0.5187 data_time: 0.0427 memory: 18108 grad_norm: 3.1811 loss: 4.8903 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7734 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.1170 2023/01/31 15:14:11 - mmengine - INFO - Epoch(train) [23][1800/1879] lr: 7.0771e-02 eta: 2 days, 13:59:04 time: 0.5042 data_time: 0.0329 memory: 18108 grad_norm: 3.2028 loss: 4.9285 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8534 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 2.0751 2023/01/31 15:14:20 - mmengine - INFO - Epoch(train) [23][1820/1879] lr: 7.0799e-02 eta: 2 days, 13:58:51 time: 0.4925 data_time: 0.0349 memory: 18108 grad_norm: 3.2307 loss: 5.1192 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.0232 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0961 2023/01/31 15:14:30 - mmengine - INFO - Epoch(train) [23][1840/1879] lr: 7.0827e-02 eta: 2 days, 13:58:39 time: 0.4998 data_time: 0.0326 memory: 18108 grad_norm: 3.1698 loss: 5.2222 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.2091 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 2.0131 2023/01/31 15:14:41 - mmengine - INFO - Epoch(train) [23][1860/1879] lr: 7.0855e-02 eta: 2 days, 13:58:31 time: 0.5216 data_time: 0.0337 memory: 18108 grad_norm: 3.1058 loss: 5.0014 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9039 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 2.0975 2023/01/31 15:14:50 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 15:14:50 - mmengine - INFO - Epoch(train) [23][1879/1879] lr: 7.0882e-02 eta: 2 days, 13:58:14 time: 0.4712 data_time: 0.0279 memory: 18108 grad_norm: 3.2483 loss: 4.8510 top1_acc_0: 0.5714 top5_acc_0: 0.8571 loss_cls_0: 2.8153 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 2.0358 2023/01/31 15:15:05 - mmengine - INFO - Epoch(train) [24][ 20/1879] lr: 7.0910e-02 eta: 2 days, 13:58:43 time: 0.7026 data_time: 0.2450 memory: 18108 grad_norm: 3.1541 loss: 4.7700 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7985 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.9716 2023/01/31 15:15:14 - mmengine - INFO - Epoch(train) [24][ 40/1879] lr: 7.0938e-02 eta: 2 days, 13:58:23 time: 0.4612 data_time: 0.0338 memory: 18108 grad_norm: 3.1873 loss: 4.6251 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6485 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.9766 2023/01/31 15:15:23 - mmengine - INFO - Epoch(train) [24][ 60/1879] lr: 7.0966e-02 eta: 2 days, 13:58:05 time: 0.4719 data_time: 0.0370 memory: 18108 grad_norm: 3.2104 loss: 4.9135 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8567 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 2.0567 2023/01/31 15:15:33 - mmengine - INFO - Epoch(train) [24][ 80/1879] lr: 7.0995e-02 eta: 2 days, 13:57:53 time: 0.4997 data_time: 0.0425 memory: 18108 grad_norm: 3.1756 loss: 4.8653 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8532 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 2.0121 2023/01/31 15:15:43 - mmengine - INFO - Epoch(train) [24][ 100/1879] lr: 7.1023e-02 eta: 2 days, 13:57:35 time: 0.4715 data_time: 0.0369 memory: 18108 grad_norm: 3.1348 loss: 4.5406 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.6295 top1_acc_1: 0.4471 top5_acc_1: 0.7529 loss_cls_1: 1.9111 2023/01/31 15:15:52 - mmengine - INFO - Epoch(train) [24][ 120/1879] lr: 7.1051e-02 eta: 2 days, 13:57:16 time: 0.4632 data_time: 0.0338 memory: 18108 grad_norm: 3.2035 loss: 4.9472 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9336 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 2.0136 2023/01/31 15:16:02 - mmengine - INFO - Epoch(train) [24][ 140/1879] lr: 7.1079e-02 eta: 2 days, 13:57:01 time: 0.4903 data_time: 0.0369 memory: 18108 grad_norm: 3.2165 loss: 4.8560 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.8512 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 2.0049 2023/01/31 15:16:11 - mmengine - INFO - Epoch(train) [24][ 160/1879] lr: 7.1107e-02 eta: 2 days, 13:56:47 time: 0.4895 data_time: 0.0399 memory: 18108 grad_norm: 3.2077 loss: 5.1667 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.1646 top1_acc_1: 0.6118 top5_acc_1: 0.7294 loss_cls_1: 2.0022 2023/01/31 15:16:21 - mmengine - INFO - Epoch(train) [24][ 180/1879] lr: 7.1135e-02 eta: 2 days, 13:56:29 time: 0.4705 data_time: 0.0367 memory: 18108 grad_norm: 3.2188 loss: 4.6773 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8197 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.8576 2023/01/31 15:16:30 - mmengine - INFO - Epoch(train) [24][ 200/1879] lr: 7.1164e-02 eta: 2 days, 13:56:09 time: 0.4606 data_time: 0.0338 memory: 18108 grad_norm: 3.2347 loss: 4.8411 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8634 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9777 2023/01/31 15:16:40 - mmengine - INFO - Epoch(train) [24][ 220/1879] lr: 7.1192e-02 eta: 2 days, 13:55:58 time: 0.5026 data_time: 0.0429 memory: 18108 grad_norm: 3.1796 loss: 4.6270 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6526 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.9744 2023/01/31 15:16:50 - mmengine - INFO - Epoch(train) [24][ 240/1879] lr: 7.1220e-02 eta: 2 days, 13:55:39 time: 0.4700 data_time: 0.0330 memory: 18108 grad_norm: 3.2602 loss: 5.0779 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8855 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 2.1924 2023/01/31 15:16:59 - mmengine - INFO - Epoch(train) [24][ 260/1879] lr: 7.1248e-02 eta: 2 days, 13:55:21 time: 0.4707 data_time: 0.0362 memory: 18108 grad_norm: 3.2117 loss: 4.8622 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8631 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.9991 2023/01/31 15:17:09 - mmengine - INFO - Epoch(train) [24][ 280/1879] lr: 7.1276e-02 eta: 2 days, 13:55:04 time: 0.4762 data_time: 0.0360 memory: 18108 grad_norm: 3.1975 loss: 4.7015 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6107 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 2.0908 2023/01/31 15:17:18 - mmengine - INFO - Epoch(train) [24][ 300/1879] lr: 7.1305e-02 eta: 2 days, 13:54:50 time: 0.4894 data_time: 0.0416 memory: 18108 grad_norm: 3.2439 loss: 4.8387 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8059 top1_acc_1: 0.5176 top5_acc_1: 0.8471 loss_cls_1: 2.0328 2023/01/31 15:17:28 - mmengine - INFO - Epoch(train) [24][ 320/1879] lr: 7.1333e-02 eta: 2 days, 13:54:32 time: 0.4705 data_time: 0.0344 memory: 18108 grad_norm: 3.2283 loss: 4.7899 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6786 top1_acc_1: 0.4824 top5_acc_1: 0.6235 loss_cls_1: 2.1113 2023/01/31 15:17:37 - mmengine - INFO - Epoch(train) [24][ 340/1879] lr: 7.1361e-02 eta: 2 days, 13:54:15 time: 0.4736 data_time: 0.0365 memory: 18108 grad_norm: 3.1934 loss: 4.7419 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7613 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9805 2023/01/31 15:17:47 - mmengine - INFO - Epoch(train) [24][ 360/1879] lr: 7.1389e-02 eta: 2 days, 13:54:00 time: 0.4857 data_time: 0.0425 memory: 18108 grad_norm: 3.1834 loss: 4.9310 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8314 top1_acc_1: 0.5882 top5_acc_1: 0.7176 loss_cls_1: 2.0995 2023/01/31 15:17:56 - mmengine - INFO - Epoch(train) [24][ 380/1879] lr: 7.1417e-02 eta: 2 days, 13:53:43 time: 0.4775 data_time: 0.0333 memory: 18108 grad_norm: 3.1472 loss: 4.7486 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7684 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.9801 2023/01/31 15:18:06 - mmengine - INFO - Epoch(train) [24][ 400/1879] lr: 7.1445e-02 eta: 2 days, 13:53:25 time: 0.4696 data_time: 0.0337 memory: 18108 grad_norm: 3.1255 loss: 4.6585 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6779 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.9806 2023/01/31 15:18:15 - mmengine - INFO - Epoch(train) [24][ 420/1879] lr: 7.1474e-02 eta: 2 days, 13:53:09 time: 0.4811 data_time: 0.0348 memory: 18108 grad_norm: 3.1969 loss: 4.7620 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6768 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 2.0852 2023/01/31 15:18:25 - mmengine - INFO - Epoch(train) [24][ 440/1879] lr: 7.1502e-02 eta: 2 days, 13:52:52 time: 0.4719 data_time: 0.0334 memory: 18108 grad_norm: 3.1706 loss: 4.7720 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8403 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.9316 2023/01/31 15:18:35 - mmengine - INFO - Epoch(train) [24][ 460/1879] lr: 7.1530e-02 eta: 2 days, 13:52:37 time: 0.4852 data_time: 0.0356 memory: 18108 grad_norm: 3.1596 loss: 4.9074 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8823 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0251 2023/01/31 15:18:44 - mmengine - INFO - Epoch(train) [24][ 480/1879] lr: 7.1558e-02 eta: 2 days, 13:52:18 time: 0.4666 data_time: 0.0341 memory: 18108 grad_norm: 3.2268 loss: 4.7727 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6630 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 2.1097 2023/01/31 15:18:54 - mmengine - INFO - Epoch(train) [24][ 500/1879] lr: 7.1586e-02 eta: 2 days, 13:52:02 time: 0.4801 data_time: 0.0375 memory: 18108 grad_norm: 3.2354 loss: 5.0078 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.9112 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.0965 2023/01/31 15:19:03 - mmengine - INFO - Epoch(train) [24][ 520/1879] lr: 7.1614e-02 eta: 2 days, 13:51:44 time: 0.4705 data_time: 0.0346 memory: 18108 grad_norm: 3.2062 loss: 4.8593 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8136 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 2.0457 2023/01/31 15:19:13 - mmengine - INFO - Epoch(train) [24][ 540/1879] lr: 7.1643e-02 eta: 2 days, 13:51:28 time: 0.4799 data_time: 0.0380 memory: 18108 grad_norm: 3.1860 loss: 4.7214 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6742 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0472 2023/01/31 15:19:22 - mmengine - INFO - Epoch(train) [24][ 560/1879] lr: 7.1671e-02 eta: 2 days, 13:51:13 time: 0.4875 data_time: 0.0324 memory: 18108 grad_norm: 3.2212 loss: 4.7625 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6918 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.0708 2023/01/31 15:19:32 - mmengine - INFO - Epoch(train) [24][ 580/1879] lr: 7.1699e-02 eta: 2 days, 13:50:57 time: 0.4797 data_time: 0.0432 memory: 18108 grad_norm: 3.2408 loss: 4.8479 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8563 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 1.9916 2023/01/31 15:19:41 - mmengine - INFO - Epoch(train) [24][ 600/1879] lr: 7.1727e-02 eta: 2 days, 13:50:39 time: 0.4716 data_time: 0.0322 memory: 18108 grad_norm: 3.2240 loss: 4.9664 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.9572 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 2.0092 2023/01/31 15:19:51 - mmengine - INFO - Epoch(train) [24][ 620/1879] lr: 7.1755e-02 eta: 2 days, 13:50:26 time: 0.4942 data_time: 0.0355 memory: 18108 grad_norm: 3.1252 loss: 4.9918 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.9813 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0105 2023/01/31 15:20:01 - mmengine - INFO - Epoch(train) [24][ 640/1879] lr: 7.1784e-02 eta: 2 days, 13:50:11 time: 0.4859 data_time: 0.0331 memory: 18108 grad_norm: 3.1212 loss: 4.6154 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6515 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9639 2023/01/31 15:20:11 - mmengine - INFO - Epoch(train) [24][ 660/1879] lr: 7.1812e-02 eta: 2 days, 13:49:56 time: 0.4844 data_time: 0.0446 memory: 18108 grad_norm: 3.1369 loss: 4.8333 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8400 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.9934 2023/01/31 15:20:20 - mmengine - INFO - Epoch(train) [24][ 680/1879] lr: 7.1840e-02 eta: 2 days, 13:49:42 time: 0.4868 data_time: 0.0333 memory: 18108 grad_norm: 3.1780 loss: 4.6925 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6253 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.0672 2023/01/31 15:20:30 - mmengine - INFO - Epoch(train) [24][ 700/1879] lr: 7.1868e-02 eta: 2 days, 13:49:27 time: 0.4869 data_time: 0.0362 memory: 18108 grad_norm: 3.1752 loss: 4.8047 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7637 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 2.0410 2023/01/31 15:20:40 - mmengine - INFO - Epoch(train) [24][ 720/1879] lr: 7.1896e-02 eta: 2 days, 13:49:11 time: 0.4811 data_time: 0.0316 memory: 18108 grad_norm: 3.2754 loss: 4.8684 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.8135 top1_acc_1: 0.4588 top5_acc_1: 0.7647 loss_cls_1: 2.0549 2023/01/31 15:20:50 - mmengine - INFO - Epoch(train) [24][ 740/1879] lr: 7.1924e-02 eta: 2 days, 13:48:57 time: 0.4888 data_time: 0.0410 memory: 18108 grad_norm: 3.3079 loss: 4.9060 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8265 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 2.0795 2023/01/31 15:20:59 - mmengine - INFO - Epoch(train) [24][ 760/1879] lr: 7.1953e-02 eta: 2 days, 13:48:40 time: 0.4758 data_time: 0.0325 memory: 18108 grad_norm: 3.2295 loss: 4.7924 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7574 top1_acc_1: 0.5059 top5_acc_1: 0.6824 loss_cls_1: 2.0350 2023/01/31 15:21:09 - mmengine - INFO - Epoch(train) [24][ 780/1879] lr: 7.1981e-02 eta: 2 days, 13:48:26 time: 0.4870 data_time: 0.0375 memory: 18108 grad_norm: 3.2123 loss: 4.9157 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7847 top1_acc_1: 0.5882 top5_acc_1: 0.7294 loss_cls_1: 2.1310 2023/01/31 15:21:10 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 15:21:19 - mmengine - INFO - Epoch(train) [24][ 800/1879] lr: 7.2009e-02 eta: 2 days, 13:48:11 time: 0.4853 data_time: 0.0336 memory: 18108 grad_norm: 3.2179 loss: 4.9931 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9270 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 2.0661 2023/01/31 15:21:28 - mmengine - INFO - Epoch(train) [24][ 820/1879] lr: 7.2037e-02 eta: 2 days, 13:47:57 time: 0.4894 data_time: 0.0356 memory: 18108 grad_norm: 3.1946 loss: 4.8996 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8127 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.0869 2023/01/31 15:21:38 - mmengine - INFO - Epoch(train) [24][ 840/1879] lr: 7.2065e-02 eta: 2 days, 13:47:40 time: 0.4792 data_time: 0.0334 memory: 18108 grad_norm: 3.1937 loss: 4.9107 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7298 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.1808 2023/01/31 15:21:48 - mmengine - INFO - Epoch(train) [24][ 860/1879] lr: 7.2093e-02 eta: 2 days, 13:47:27 time: 0.4945 data_time: 0.0352 memory: 18108 grad_norm: 3.1720 loss: 4.9618 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8277 top1_acc_1: 0.5765 top5_acc_1: 0.7294 loss_cls_1: 2.1341 2023/01/31 15:21:58 - mmengine - INFO - Epoch(train) [24][ 880/1879] lr: 7.2122e-02 eta: 2 days, 13:47:13 time: 0.4885 data_time: 0.0406 memory: 18108 grad_norm: 3.1553 loss: 4.6950 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6316 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0634 2023/01/31 15:22:08 - mmengine - INFO - Epoch(train) [24][ 900/1879] lr: 7.2150e-02 eta: 2 days, 13:47:01 time: 0.5016 data_time: 0.0341 memory: 18108 grad_norm: 3.1708 loss: 4.8748 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8507 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 2.0241 2023/01/31 15:22:17 - mmengine - INFO - Epoch(train) [24][ 920/1879] lr: 7.2178e-02 eta: 2 days, 13:46:47 time: 0.4882 data_time: 0.0329 memory: 18108 grad_norm: 3.1923 loss: 5.0173 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.9809 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 2.0364 2023/01/31 15:22:27 - mmengine - INFO - Epoch(train) [24][ 940/1879] lr: 7.2206e-02 eta: 2 days, 13:46:36 time: 0.5053 data_time: 0.0437 memory: 18108 grad_norm: 3.1608 loss: 4.6875 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5924 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.0951 2023/01/31 15:22:37 - mmengine - INFO - Epoch(train) [24][ 960/1879] lr: 7.2234e-02 eta: 2 days, 13:46:22 time: 0.4868 data_time: 0.0347 memory: 18108 grad_norm: 3.1814 loss: 4.9249 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.8508 top1_acc_1: 0.5176 top5_acc_1: 0.6824 loss_cls_1: 2.0741 2023/01/31 15:22:47 - mmengine - INFO - Epoch(train) [24][ 980/1879] lr: 7.2263e-02 eta: 2 days, 13:46:06 time: 0.4836 data_time: 0.0352 memory: 18108 grad_norm: 3.2264 loss: 4.9625 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.9128 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.0496 2023/01/31 15:22:57 - mmengine - INFO - Epoch(train) [24][1000/1879] lr: 7.2291e-02 eta: 2 days, 13:45:54 time: 0.4952 data_time: 0.0355 memory: 18108 grad_norm: 3.1950 loss: 4.9768 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.9729 top1_acc_1: 0.4471 top5_acc_1: 0.7059 loss_cls_1: 2.0039 2023/01/31 15:23:07 - mmengine - INFO - Epoch(train) [24][1020/1879] lr: 7.2319e-02 eta: 2 days, 13:45:40 time: 0.4933 data_time: 0.0351 memory: 18108 grad_norm: 3.2096 loss: 4.8324 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8189 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.0135 2023/01/31 15:23:16 - mmengine - INFO - Epoch(train) [24][1040/1879] lr: 7.2347e-02 eta: 2 days, 13:45:23 time: 0.4743 data_time: 0.0347 memory: 18108 grad_norm: 3.1851 loss: 4.6872 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.6063 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 2.0809 2023/01/31 15:23:26 - mmengine - INFO - Epoch(train) [24][1060/1879] lr: 7.2375e-02 eta: 2 days, 13:45:08 time: 0.4846 data_time: 0.0353 memory: 18108 grad_norm: 3.2028 loss: 4.8216 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8034 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.0182 2023/01/31 15:23:36 - mmengine - INFO - Epoch(train) [24][1080/1879] lr: 7.2403e-02 eta: 2 days, 13:44:54 time: 0.4863 data_time: 0.0346 memory: 18108 grad_norm: 3.1974 loss: 4.9300 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.8339 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 2.0961 2023/01/31 15:23:45 - mmengine - INFO - Epoch(train) [24][1100/1879] lr: 7.2432e-02 eta: 2 days, 13:44:40 time: 0.4935 data_time: 0.0447 memory: 18108 grad_norm: 3.1754 loss: 4.9269 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.8347 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.0921 2023/01/31 15:23:55 - mmengine - INFO - Epoch(train) [24][1120/1879] lr: 7.2460e-02 eta: 2 days, 13:44:27 time: 0.4916 data_time: 0.0342 memory: 18108 grad_norm: 3.1519 loss: 4.9616 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8676 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0940 2023/01/31 15:24:06 - mmengine - INFO - Epoch(train) [24][1140/1879] lr: 7.2488e-02 eta: 2 days, 13:44:17 time: 0.5133 data_time: 0.0352 memory: 18108 grad_norm: 3.2225 loss: 4.9119 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8373 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.0747 2023/01/31 15:24:16 - mmengine - INFO - Epoch(train) [24][1160/1879] lr: 7.2516e-02 eta: 2 days, 13:44:06 time: 0.5022 data_time: 0.0333 memory: 18108 grad_norm: 3.2134 loss: 5.0274 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.9326 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 2.0947 2023/01/31 15:24:25 - mmengine - INFO - Epoch(train) [24][1180/1879] lr: 7.2544e-02 eta: 2 days, 13:43:53 time: 0.4930 data_time: 0.0351 memory: 18108 grad_norm: 3.0782 loss: 4.6549 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6934 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.9615 2023/01/31 15:24:35 - mmengine - INFO - Epoch(train) [24][1200/1879] lr: 7.2572e-02 eta: 2 days, 13:43:40 time: 0.4982 data_time: 0.0332 memory: 18108 grad_norm: 3.1759 loss: 4.4714 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4917 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9797 2023/01/31 15:24:46 - mmengine - INFO - Epoch(train) [24][1220/1879] lr: 7.2601e-02 eta: 2 days, 13:43:32 time: 0.5168 data_time: 0.0327 memory: 18108 grad_norm: 3.1604 loss: 5.0905 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.9687 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 2.1218 2023/01/31 15:24:56 - mmengine - INFO - Epoch(train) [24][1240/1879] lr: 7.2629e-02 eta: 2 days, 13:43:19 time: 0.4964 data_time: 0.0326 memory: 18108 grad_norm: 3.1642 loss: 4.9822 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8556 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 2.1266 2023/01/31 15:25:06 - mmengine - INFO - Epoch(train) [24][1260/1879] lr: 7.2657e-02 eta: 2 days, 13:43:06 time: 0.4970 data_time: 0.0411 memory: 18108 grad_norm: 3.1495 loss: 4.9711 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.8057 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 2.1654 2023/01/31 15:25:16 - mmengine - INFO - Epoch(train) [24][1280/1879] lr: 7.2685e-02 eta: 2 days, 13:42:56 time: 0.5101 data_time: 0.0321 memory: 18108 grad_norm: 3.2532 loss: 4.8272 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7963 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.0310 2023/01/31 15:25:26 - mmengine - INFO - Epoch(train) [24][1300/1879] lr: 7.2713e-02 eta: 2 days, 13:42:48 time: 0.5155 data_time: 0.0336 memory: 18108 grad_norm: 3.1606 loss: 4.8295 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7435 top1_acc_1: 0.4235 top5_acc_1: 0.7294 loss_cls_1: 2.0860 2023/01/31 15:25:37 - mmengine - INFO - Epoch(train) [24][1320/1879] lr: 7.2741e-02 eta: 2 days, 13:42:40 time: 0.5203 data_time: 0.0420 memory: 18108 grad_norm: 3.1774 loss: 4.8937 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7790 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.1147 2023/01/31 15:25:47 - mmengine - INFO - Epoch(train) [24][1340/1879] lr: 7.2770e-02 eta: 2 days, 13:42:34 time: 0.5318 data_time: 0.0311 memory: 18108 grad_norm: 3.1068 loss: 4.7029 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6433 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.0596 2023/01/31 15:25:58 - mmengine - INFO - Epoch(train) [24][1360/1879] lr: 7.2798e-02 eta: 2 days, 13:42:26 time: 0.5196 data_time: 0.0325 memory: 18108 grad_norm: 3.1921 loss: 5.1006 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0419 top1_acc_1: 0.5647 top5_acc_1: 0.7176 loss_cls_1: 2.0587 2023/01/31 15:26:08 - mmengine - INFO - Epoch(train) [24][1380/1879] lr: 7.2826e-02 eta: 2 days, 13:42:18 time: 0.5190 data_time: 0.0318 memory: 18108 grad_norm: 3.0996 loss: 5.0901 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 3.0034 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 2.0867 2023/01/31 15:26:19 - mmengine - INFO - Epoch(train) [24][1400/1879] lr: 7.2854e-02 eta: 2 days, 13:42:13 time: 0.5390 data_time: 0.0409 memory: 18108 grad_norm: 3.1776 loss: 5.0357 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 3.0104 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 2.0253 2023/01/31 15:26:29 - mmengine - INFO - Epoch(train) [24][1420/1879] lr: 7.2882e-02 eta: 2 days, 13:42:05 time: 0.5174 data_time: 0.0317 memory: 18108 grad_norm: 3.1167 loss: 4.6136 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6779 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.9357 2023/01/31 15:26:40 - mmengine - INFO - Epoch(train) [24][1440/1879] lr: 7.2911e-02 eta: 2 days, 13:41:57 time: 0.5224 data_time: 0.0330 memory: 18108 grad_norm: 3.1972 loss: 5.0578 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8586 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 2.1992 2023/01/31 15:26:50 - mmengine - INFO - Epoch(train) [24][1460/1879] lr: 7.2939e-02 eta: 2 days, 13:41:52 time: 0.5336 data_time: 0.0391 memory: 18108 grad_norm: 3.1107 loss: 4.8218 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8391 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9827 2023/01/31 15:27:01 - mmengine - INFO - Epoch(train) [24][1480/1879] lr: 7.2967e-02 eta: 2 days, 13:41:45 time: 0.5239 data_time: 0.0345 memory: 18108 grad_norm: 3.1700 loss: 4.9601 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9323 top1_acc_1: 0.5294 top5_acc_1: 0.6824 loss_cls_1: 2.0278 2023/01/31 15:27:11 - mmengine - INFO - Epoch(train) [24][1500/1879] lr: 7.2995e-02 eta: 2 days, 13:41:37 time: 0.5236 data_time: 0.0307 memory: 18108 grad_norm: 3.1006 loss: 4.7930 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6845 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 2.1085 2023/01/31 15:27:22 - mmengine - INFO - Epoch(train) [24][1520/1879] lr: 7.3023e-02 eta: 2 days, 13:41:31 time: 0.5286 data_time: 0.0403 memory: 18108 grad_norm: 3.1747 loss: 4.9756 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8597 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.1159 2023/01/31 15:27:32 - mmengine - INFO - Epoch(train) [24][1540/1879] lr: 7.3051e-02 eta: 2 days, 13:41:25 time: 0.5323 data_time: 0.0306 memory: 18108 grad_norm: 3.1795 loss: 4.8525 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7993 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0532 2023/01/31 15:27:43 - mmengine - INFO - Epoch(train) [24][1560/1879] lr: 7.3080e-02 eta: 2 days, 13:41:15 time: 0.5070 data_time: 0.0352 memory: 18108 grad_norm: 3.1368 loss: 4.7073 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6138 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 2.0935 2023/01/31 15:27:53 - mmengine - INFO - Epoch(train) [24][1580/1879] lr: 7.3108e-02 eta: 2 days, 13:41:03 time: 0.5030 data_time: 0.0317 memory: 18108 grad_norm: 3.1742 loss: 4.9592 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9213 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.0379 2023/01/31 15:28:03 - mmengine - INFO - Epoch(train) [24][1600/1879] lr: 7.3136e-02 eta: 2 days, 13:40:59 time: 0.5407 data_time: 0.0430 memory: 18108 grad_norm: 3.2176 loss: 4.8270 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7291 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0979 2023/01/31 15:28:14 - mmengine - INFO - Epoch(train) [24][1620/1879] lr: 7.3164e-02 eta: 2 days, 13:40:51 time: 0.5173 data_time: 0.0314 memory: 18108 grad_norm: 3.1810 loss: 4.6947 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6771 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.0176 2023/01/31 15:28:24 - mmengine - INFO - Epoch(train) [24][1640/1879] lr: 7.3192e-02 eta: 2 days, 13:40:41 time: 0.5138 data_time: 0.0337 memory: 18108 grad_norm: 3.1917 loss: 4.8735 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7627 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 2.1107 2023/01/31 15:28:34 - mmengine - INFO - Epoch(train) [24][1660/1879] lr: 7.3220e-02 eta: 2 days, 13:40:33 time: 0.5186 data_time: 0.0480 memory: 18108 grad_norm: 3.1663 loss: 4.9277 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.8648 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 2.0629 2023/01/31 15:28:45 - mmengine - INFO - Epoch(train) [24][1680/1879] lr: 7.3249e-02 eta: 2 days, 13:40:26 time: 0.5243 data_time: 0.0289 memory: 18108 grad_norm: 3.1764 loss: 4.8464 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8144 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 2.0321 2023/01/31 15:28:55 - mmengine - INFO - Epoch(train) [24][1700/1879] lr: 7.3277e-02 eta: 2 days, 13:40:18 time: 0.5194 data_time: 0.0364 memory: 18108 grad_norm: 3.1499 loss: 4.8619 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.8642 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.9977 2023/01/31 15:29:05 - mmengine - INFO - Epoch(train) [24][1720/1879] lr: 7.3305e-02 eta: 2 days, 13:40:06 time: 0.5024 data_time: 0.0310 memory: 18108 grad_norm: 3.1654 loss: 5.0477 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.9202 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.1275 2023/01/31 15:29:16 - mmengine - INFO - Epoch(train) [24][1740/1879] lr: 7.3333e-02 eta: 2 days, 13:39:59 time: 0.5232 data_time: 0.0445 memory: 18108 grad_norm: 3.1582 loss: 4.8289 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7968 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 2.0321 2023/01/31 15:29:26 - mmengine - INFO - Epoch(train) [24][1760/1879] lr: 7.3361e-02 eta: 2 days, 13:39:46 time: 0.4980 data_time: 0.0287 memory: 18108 grad_norm: 3.1876 loss: 4.6634 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6453 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 2.0180 2023/01/31 15:29:36 - mmengine - INFO - Epoch(train) [24][1780/1879] lr: 7.3390e-02 eta: 2 days, 13:39:36 time: 0.5071 data_time: 0.0383 memory: 18108 grad_norm: 3.1312 loss: 5.0871 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9944 top1_acc_1: 0.6471 top5_acc_1: 0.7765 loss_cls_1: 2.0927 2023/01/31 15:29:37 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 15:29:46 - mmengine - INFO - Epoch(train) [24][1800/1879] lr: 7.3418e-02 eta: 2 days, 13:39:25 time: 0.5072 data_time: 0.0359 memory: 18108 grad_norm: 3.1149 loss: 4.9401 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.9051 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 2.0350 2023/01/31 15:29:57 - mmengine - INFO - Epoch(train) [24][1820/1879] lr: 7.3446e-02 eta: 2 days, 13:39:19 time: 0.5319 data_time: 0.0368 memory: 18108 grad_norm: 3.2329 loss: 4.8552 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6738 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 2.1814 2023/01/31 15:30:07 - mmengine - INFO - Epoch(train) [24][1840/1879] lr: 7.3474e-02 eta: 2 days, 13:39:07 time: 0.4974 data_time: 0.0300 memory: 18108 grad_norm: 3.1460 loss: 5.0148 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.9702 top1_acc_1: 0.4706 top5_acc_1: 0.7059 loss_cls_1: 2.0446 2023/01/31 15:30:17 - mmengine - INFO - Epoch(train) [24][1860/1879] lr: 7.3502e-02 eta: 2 days, 13:38:53 time: 0.4915 data_time: 0.0475 memory: 18108 grad_norm: 3.1754 loss: 4.8849 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.7729 top1_acc_1: 0.4471 top5_acc_1: 0.6706 loss_cls_1: 2.1120 2023/01/31 15:30:26 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 15:30:26 - mmengine - INFO - Epoch(train) [24][1879/1879] lr: 7.3529e-02 eta: 2 days, 13:38:39 time: 0.4834 data_time: 0.0299 memory: 18108 grad_norm: 3.2542 loss: 4.9764 top1_acc_0: 0.0000 top5_acc_0: 0.2857 loss_cls_0: 2.8790 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.0974 2023/01/31 15:30:26 - mmengine - INFO - Saving checkpoint at 24 epochs 2023/01/31 15:30:37 - mmengine - INFO - Epoch(val) [24][ 20/155] eta: 0:01:02 time: 0.4611 data_time: 0.3479 memory: 1906 2023/01/31 15:30:46 - mmengine - INFO - Epoch(val) [24][ 40/155] eta: 0:00:51 time: 0.4370 data_time: 0.3259 memory: 1906 2023/01/31 15:30:54 - mmengine - INFO - Epoch(val) [24][ 60/155] eta: 0:00:42 time: 0.4328 data_time: 0.3218 memory: 1906 2023/01/31 15:31:03 - mmengine - INFO - Epoch(val) [24][ 80/155] eta: 0:00:33 time: 0.4609 data_time: 0.3499 memory: 1906 2023/01/31 15:31:12 - mmengine - INFO - Epoch(val) [24][100/155] eta: 0:00:24 time: 0.4485 data_time: 0.3367 memory: 1906 2023/01/31 15:31:22 - mmengine - INFO - Epoch(val) [24][120/155] eta: 0:00:15 time: 0.4628 data_time: 0.3524 memory: 1906 2023/01/31 15:31:30 - mmengine - INFO - Epoch(val) [24][140/155] eta: 0:00:06 time: 0.4359 data_time: 0.3260 memory: 1906 2023/01/31 15:31:38 - mmengine - INFO - Epoch(val) [24][155/155] acc/top1: 0.3852 acc/top5: 0.6441 acc/mean1: 0.3849 2023/01/31 15:31:53 - mmengine - INFO - Epoch(train) [25][ 20/1879] lr: 7.3557e-02 eta: 2 days, 13:39:09 time: 0.7185 data_time: 0.2610 memory: 18108 grad_norm: 3.1695 loss: 5.0666 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.0351 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.0316 2023/01/31 15:32:02 - mmengine - INFO - Epoch(train) [25][ 40/1879] lr: 7.3585e-02 eta: 2 days, 13:38:51 time: 0.4696 data_time: 0.0347 memory: 18108 grad_norm: 3.1393 loss: 4.7129 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8296 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8833 2023/01/31 15:32:11 - mmengine - INFO - Epoch(train) [25][ 60/1879] lr: 7.3614e-02 eta: 2 days, 13:38:33 time: 0.4688 data_time: 0.0345 memory: 18108 grad_norm: 3.1665 loss: 4.5769 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5577 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 2.0192 2023/01/31 15:32:22 - mmengine - INFO - Epoch(train) [25][ 80/1879] lr: 7.3642e-02 eta: 2 days, 13:38:25 time: 0.5177 data_time: 0.0420 memory: 18108 grad_norm: 3.1741 loss: 4.8038 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8336 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.9702 2023/01/31 15:32:31 - mmengine - INFO - Epoch(train) [25][ 100/1879] lr: 7.3670e-02 eta: 2 days, 13:38:07 time: 0.4723 data_time: 0.0336 memory: 18108 grad_norm: 3.1825 loss: 4.8564 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.8000 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.0564 2023/01/31 15:32:40 - mmengine - INFO - Epoch(train) [25][ 120/1879] lr: 7.3698e-02 eta: 2 days, 13:37:49 time: 0.4650 data_time: 0.0335 memory: 18108 grad_norm: 3.2341 loss: 4.6252 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6462 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.9790 2023/01/31 15:32:50 - mmengine - INFO - Epoch(train) [25][ 140/1879] lr: 7.3726e-02 eta: 2 days, 13:37:32 time: 0.4781 data_time: 0.0331 memory: 18108 grad_norm: 3.1388 loss: 4.4678 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.4555 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 2.0123 2023/01/31 15:33:00 - mmengine - INFO - Epoch(train) [25][ 160/1879] lr: 7.3754e-02 eta: 2 days, 13:37:20 time: 0.4954 data_time: 0.0414 memory: 18108 grad_norm: 3.1665 loss: 4.6270 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7074 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 1.9196 2023/01/31 15:33:09 - mmengine - INFO - Epoch(train) [25][ 180/1879] lr: 7.3783e-02 eta: 2 days, 13:37:02 time: 0.4698 data_time: 0.0325 memory: 18108 grad_norm: 3.1927 loss: 4.8315 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8177 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 2.0138 2023/01/31 15:33:19 - mmengine - INFO - Epoch(train) [25][ 200/1879] lr: 7.3811e-02 eta: 2 days, 13:36:43 time: 0.4647 data_time: 0.0348 memory: 18108 grad_norm: 3.2288 loss: 4.7190 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.7381 top1_acc_1: 0.4353 top5_acc_1: 0.6706 loss_cls_1: 1.9809 2023/01/31 15:33:28 - mmengine - INFO - Epoch(train) [25][ 220/1879] lr: 7.3839e-02 eta: 2 days, 13:36:29 time: 0.4907 data_time: 0.0426 memory: 18108 grad_norm: 3.1669 loss: 4.7746 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7982 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.9765 2023/01/31 15:33:38 - mmengine - INFO - Epoch(train) [25][ 240/1879] lr: 7.3867e-02 eta: 2 days, 13:36:16 time: 0.4927 data_time: 0.0351 memory: 18108 grad_norm: 3.1766 loss: 4.7353 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7586 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9767 2023/01/31 15:33:48 - mmengine - INFO - Epoch(train) [25][ 260/1879] lr: 7.3895e-02 eta: 2 days, 13:35:59 time: 0.4720 data_time: 0.0309 memory: 18108 grad_norm: 3.1111 loss: 4.7362 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7390 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9972 2023/01/31 15:33:57 - mmengine - INFO - Epoch(train) [25][ 280/1879] lr: 7.3923e-02 eta: 2 days, 13:35:42 time: 0.4750 data_time: 0.0361 memory: 18108 grad_norm: 3.1937 loss: 4.6827 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7067 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.9761 2023/01/31 15:34:07 - mmengine - INFO - Epoch(train) [25][ 300/1879] lr: 7.3952e-02 eta: 2 days, 13:35:30 time: 0.4991 data_time: 0.0379 memory: 18108 grad_norm: 3.2310 loss: 4.7594 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7096 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 2.0498 2023/01/31 15:34:17 - mmengine - INFO - Epoch(train) [25][ 320/1879] lr: 7.3980e-02 eta: 2 days, 13:35:15 time: 0.4823 data_time: 0.0368 memory: 18108 grad_norm: 3.1492 loss: 4.6137 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5477 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.0661 2023/01/31 15:34:26 - mmengine - INFO - Epoch(train) [25][ 340/1879] lr: 7.4008e-02 eta: 2 days, 13:34:58 time: 0.4765 data_time: 0.0368 memory: 18108 grad_norm: 3.1670 loss: 4.7324 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7777 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9546 2023/01/31 15:34:36 - mmengine - INFO - Epoch(train) [25][ 360/1879] lr: 7.4036e-02 eta: 2 days, 13:34:44 time: 0.4877 data_time: 0.0407 memory: 18108 grad_norm: 3.1398 loss: 4.7994 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 2.8331 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9663 2023/01/31 15:34:46 - mmengine - INFO - Epoch(train) [25][ 380/1879] lr: 7.4064e-02 eta: 2 days, 13:34:29 time: 0.4855 data_time: 0.0294 memory: 18108 grad_norm: 3.1789 loss: 4.5911 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5984 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 1.9927 2023/01/31 15:34:56 - mmengine - INFO - Epoch(train) [25][ 400/1879] lr: 7.4093e-02 eta: 2 days, 13:34:14 time: 0.4807 data_time: 0.0337 memory: 18108 grad_norm: 3.1909 loss: 4.8448 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7149 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 2.1298 2023/01/31 15:35:05 - mmengine - INFO - Epoch(train) [25][ 420/1879] lr: 7.4121e-02 eta: 2 days, 13:33:58 time: 0.4798 data_time: 0.0347 memory: 18108 grad_norm: 3.1849 loss: 4.9681 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.9966 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 1.9716 2023/01/31 15:35:15 - mmengine - INFO - Epoch(train) [25][ 440/1879] lr: 7.4149e-02 eta: 2 days, 13:33:41 time: 0.4755 data_time: 0.0350 memory: 18108 grad_norm: 3.1952 loss: 4.6737 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6519 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.0217 2023/01/31 15:35:24 - mmengine - INFO - Epoch(train) [25][ 460/1879] lr: 7.4177e-02 eta: 2 days, 13:33:27 time: 0.4865 data_time: 0.0319 memory: 18108 grad_norm: 3.2158 loss: 5.1451 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.0760 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0690 2023/01/31 15:35:34 - mmengine - INFO - Epoch(train) [25][ 480/1879] lr: 7.4205e-02 eta: 2 days, 13:33:13 time: 0.4896 data_time: 0.0419 memory: 18108 grad_norm: 3.2060 loss: 5.0081 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9249 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 2.0832 2023/01/31 15:35:44 - mmengine - INFO - Epoch(train) [25][ 500/1879] lr: 7.4233e-02 eta: 2 days, 13:32:56 time: 0.4752 data_time: 0.0296 memory: 18108 grad_norm: 3.1850 loss: 4.8158 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6535 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.1622 2023/01/31 15:35:53 - mmengine - INFO - Epoch(train) [25][ 520/1879] lr: 7.4262e-02 eta: 2 days, 13:32:39 time: 0.4716 data_time: 0.0339 memory: 18108 grad_norm: 3.1689 loss: 4.9140 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.8347 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.0792 2023/01/31 15:36:03 - mmengine - INFO - Epoch(train) [25][ 540/1879] lr: 7.4290e-02 eta: 2 days, 13:32:24 time: 0.4852 data_time: 0.0284 memory: 18108 grad_norm: 3.1576 loss: 4.8536 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7779 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 2.0756 2023/01/31 15:36:13 - mmengine - INFO - Epoch(train) [25][ 560/1879] lr: 7.4318e-02 eta: 2 days, 13:32:11 time: 0.4907 data_time: 0.0416 memory: 18108 grad_norm: 3.1475 loss: 4.6704 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6197 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 2.0506 2023/01/31 15:36:22 - mmengine - INFO - Epoch(train) [25][ 580/1879] lr: 7.4346e-02 eta: 2 days, 13:31:54 time: 0.4714 data_time: 0.0300 memory: 18108 grad_norm: 3.1750 loss: 4.7647 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.7105 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 2.0542 2023/01/31 15:36:32 - mmengine - INFO - Epoch(train) [25][ 600/1879] lr: 7.4374e-02 eta: 2 days, 13:31:38 time: 0.4816 data_time: 0.0352 memory: 18108 grad_norm: 3.1579 loss: 4.6991 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6836 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0155 2023/01/31 15:36:42 - mmengine - INFO - Epoch(train) [25][ 620/1879] lr: 7.4402e-02 eta: 2 days, 13:31:24 time: 0.4897 data_time: 0.0299 memory: 18108 grad_norm: 3.2221 loss: 4.7736 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6896 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.0840 2023/01/31 15:36:51 - mmengine - INFO - Epoch(train) [25][ 640/1879] lr: 7.4431e-02 eta: 2 days, 13:31:10 time: 0.4844 data_time: 0.0353 memory: 18108 grad_norm: 3.1185 loss: 4.7682 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8196 top1_acc_1: 0.4706 top5_acc_1: 0.6824 loss_cls_1: 1.9485 2023/01/31 15:37:01 - mmengine - INFO - Epoch(train) [25][ 660/1879] lr: 7.4459e-02 eta: 2 days, 13:30:52 time: 0.4680 data_time: 0.0279 memory: 18108 grad_norm: 3.1331 loss: 4.9731 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8368 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.1363 2023/01/31 15:37:10 - mmengine - INFO - Epoch(train) [25][ 680/1879] lr: 7.4487e-02 eta: 2 days, 13:30:38 time: 0.4904 data_time: 0.0419 memory: 18108 grad_norm: 3.1654 loss: 4.9083 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9801 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.9282 2023/01/31 15:37:20 - mmengine - INFO - Epoch(train) [25][ 700/1879] lr: 7.4515e-02 eta: 2 days, 13:30:24 time: 0.4911 data_time: 0.0316 memory: 18108 grad_norm: 3.1521 loss: 4.6756 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7064 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9692 2023/01/31 15:37:30 - mmengine - INFO - Epoch(train) [25][ 720/1879] lr: 7.4543e-02 eta: 2 days, 13:30:08 time: 0.4749 data_time: 0.0349 memory: 18108 grad_norm: 3.1739 loss: 5.0537 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.8523 top1_acc_1: 0.4706 top5_acc_1: 0.7059 loss_cls_1: 2.2014 2023/01/31 15:37:40 - mmengine - INFO - Epoch(train) [25][ 740/1879] lr: 7.4571e-02 eta: 2 days, 13:29:54 time: 0.4916 data_time: 0.0337 memory: 18108 grad_norm: 3.1189 loss: 4.9395 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.8330 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 2.1065 2023/01/31 15:37:50 - mmengine - INFO - Epoch(train) [25][ 760/1879] lr: 7.4600e-02 eta: 2 days, 13:29:45 time: 0.5113 data_time: 0.0364 memory: 18108 grad_norm: 3.1562 loss: 5.0593 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.9739 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0854 2023/01/31 15:38:00 - mmengine - INFO - Epoch(train) [25][ 780/1879] lr: 7.4628e-02 eta: 2 days, 13:29:31 time: 0.4911 data_time: 0.0291 memory: 18108 grad_norm: 3.1584 loss: 4.8933 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7808 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 2.1124 2023/01/31 15:38:10 - mmengine - INFO - Epoch(train) [25][ 800/1879] lr: 7.4656e-02 eta: 2 days, 13:29:20 time: 0.5043 data_time: 0.0437 memory: 18108 grad_norm: 3.1119 loss: 4.7101 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.7143 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.9958 2023/01/31 15:38:20 - mmengine - INFO - Epoch(train) [25][ 820/1879] lr: 7.4684e-02 eta: 2 days, 13:29:07 time: 0.4940 data_time: 0.0297 memory: 18108 grad_norm: 3.1863 loss: 4.6703 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.6219 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0484 2023/01/31 15:38:30 - mmengine - INFO - Epoch(train) [25][ 840/1879] lr: 7.4712e-02 eta: 2 days, 13:28:57 time: 0.5083 data_time: 0.0367 memory: 18108 grad_norm: 3.1180 loss: 5.0649 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9665 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 2.0984 2023/01/31 15:38:40 - mmengine - INFO - Epoch(train) [25][ 860/1879] lr: 7.4741e-02 eta: 2 days, 13:28:44 time: 0.4935 data_time: 0.0349 memory: 18108 grad_norm: 3.1608 loss: 4.7295 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.7146 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.0149 2023/01/31 15:38:50 - mmengine - INFO - Epoch(train) [25][ 880/1879] lr: 7.4769e-02 eta: 2 days, 13:28:32 time: 0.4993 data_time: 0.0358 memory: 18108 grad_norm: 3.1669 loss: 4.7755 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7034 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.0721 2023/01/31 15:39:00 - mmengine - INFO - Epoch(train) [25][ 900/1879] lr: 7.4797e-02 eta: 2 days, 13:28:20 time: 0.4979 data_time: 0.0302 memory: 18108 grad_norm: 3.1406 loss: 4.8324 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.7423 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.0901 2023/01/31 15:39:02 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 15:39:10 - mmengine - INFO - Epoch(train) [25][ 920/1879] lr: 7.4825e-02 eta: 2 days, 13:28:09 time: 0.5071 data_time: 0.0434 memory: 18108 grad_norm: 3.0973 loss: 4.7150 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7024 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 2.0126 2023/01/31 15:39:19 - mmengine - INFO - Epoch(train) [25][ 940/1879] lr: 7.4853e-02 eta: 2 days, 13:27:54 time: 0.4828 data_time: 0.0314 memory: 18108 grad_norm: 3.1010 loss: 4.9578 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9604 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 1.9974 2023/01/31 15:39:29 - mmengine - INFO - Epoch(train) [25][ 960/1879] lr: 7.4881e-02 eta: 2 days, 13:27:41 time: 0.4939 data_time: 0.0335 memory: 18108 grad_norm: 3.1459 loss: 4.6803 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6750 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 2.0053 2023/01/31 15:39:39 - mmengine - INFO - Epoch(train) [25][ 980/1879] lr: 7.4910e-02 eta: 2 days, 13:27:28 time: 0.4940 data_time: 0.0303 memory: 18108 grad_norm: 3.1947 loss: 4.9571 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7842 top1_acc_1: 0.5176 top5_acc_1: 0.6824 loss_cls_1: 2.1729 2023/01/31 15:39:49 - mmengine - INFO - Epoch(train) [25][1000/1879] lr: 7.4938e-02 eta: 2 days, 13:27:14 time: 0.4856 data_time: 0.0412 memory: 18108 grad_norm: 3.1317 loss: 4.7998 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7261 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 2.0737 2023/01/31 15:39:58 - mmengine - INFO - Epoch(train) [25][1020/1879] lr: 7.4966e-02 eta: 2 days, 13:26:58 time: 0.4811 data_time: 0.0303 memory: 18108 grad_norm: 3.1386 loss: 4.6387 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.5952 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.0435 2023/01/31 15:40:08 - mmengine - INFO - Epoch(train) [25][1040/1879] lr: 7.4994e-02 eta: 2 days, 13:26:45 time: 0.4918 data_time: 0.0357 memory: 18108 grad_norm: 3.1596 loss: 4.9809 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 2.9673 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 2.0136 2023/01/31 15:40:18 - mmengine - INFO - Epoch(train) [25][1060/1879] lr: 7.5022e-02 eta: 2 days, 13:26:32 time: 0.4946 data_time: 0.0373 memory: 18108 grad_norm: 3.1716 loss: 4.7584 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6572 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.1012 2023/01/31 15:40:28 - mmengine - INFO - Epoch(train) [25][1080/1879] lr: 7.5050e-02 eta: 2 days, 13:26:16 time: 0.4784 data_time: 0.0360 memory: 18108 grad_norm: 3.1538 loss: 4.8425 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7565 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.0861 2023/01/31 15:40:38 - mmengine - INFO - Epoch(train) [25][1100/1879] lr: 7.5079e-02 eta: 2 days, 13:26:02 time: 0.4884 data_time: 0.0301 memory: 18108 grad_norm: 3.1131 loss: 4.8697 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.8794 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.9902 2023/01/31 15:40:48 - mmengine - INFO - Epoch(train) [25][1120/1879] lr: 7.5107e-02 eta: 2 days, 13:25:51 time: 0.5016 data_time: 0.0358 memory: 18108 grad_norm: 3.1459 loss: 4.8717 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8071 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.0646 2023/01/31 15:40:57 - mmengine - INFO - Epoch(train) [25][1140/1879] lr: 7.5135e-02 eta: 2 days, 13:25:37 time: 0.4909 data_time: 0.0280 memory: 18108 grad_norm: 3.1734 loss: 4.7084 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6930 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 2.0153 2023/01/31 15:41:07 - mmengine - INFO - Epoch(train) [25][1160/1879] lr: 7.5163e-02 eta: 2 days, 13:25:25 time: 0.4995 data_time: 0.0360 memory: 18108 grad_norm: 3.1464 loss: 4.7984 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7602 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0381 2023/01/31 15:41:17 - mmengine - INFO - Epoch(train) [25][1180/1879] lr: 7.5191e-02 eta: 2 days, 13:25:14 time: 0.5028 data_time: 0.0362 memory: 18108 grad_norm: 3.1980 loss: 4.9272 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.9146 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 2.0126 2023/01/31 15:41:27 - mmengine - INFO - Epoch(train) [25][1200/1879] lr: 7.5220e-02 eta: 2 days, 13:25:01 time: 0.4937 data_time: 0.0339 memory: 18108 grad_norm: 3.1692 loss: 4.9920 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8769 top1_acc_1: 0.4941 top5_acc_1: 0.6941 loss_cls_1: 2.1151 2023/01/31 15:41:37 - mmengine - INFO - Epoch(train) [25][1220/1879] lr: 7.5248e-02 eta: 2 days, 13:24:47 time: 0.4855 data_time: 0.0294 memory: 18108 grad_norm: 3.1614 loss: 5.0757 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.9867 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.0890 2023/01/31 15:41:47 - mmengine - INFO - Epoch(train) [25][1240/1879] lr: 7.5276e-02 eta: 2 days, 13:24:33 time: 0.4901 data_time: 0.0344 memory: 18108 grad_norm: 3.1363 loss: 4.8980 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8708 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.0272 2023/01/31 15:41:57 - mmengine - INFO - Epoch(train) [25][1260/1879] lr: 7.5304e-02 eta: 2 days, 13:24:22 time: 0.5025 data_time: 0.0280 memory: 18108 grad_norm: 3.1268 loss: 4.9527 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8837 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.0690 2023/01/31 15:42:07 - mmengine - INFO - Epoch(train) [25][1280/1879] lr: 7.5332e-02 eta: 2 days, 13:24:09 time: 0.4924 data_time: 0.0368 memory: 18108 grad_norm: 3.0707 loss: 4.8215 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7645 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.0570 2023/01/31 15:42:17 - mmengine - INFO - Epoch(train) [25][1300/1879] lr: 7.5360e-02 eta: 2 days, 13:23:57 time: 0.5013 data_time: 0.0319 memory: 18108 grad_norm: 3.1483 loss: 4.7891 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7384 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.0507 2023/01/31 15:42:27 - mmengine - INFO - Epoch(train) [25][1320/1879] lr: 7.5389e-02 eta: 2 days, 13:23:45 time: 0.4985 data_time: 0.0406 memory: 18108 grad_norm: 3.1794 loss: 4.8125 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6900 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.1225 2023/01/31 15:42:37 - mmengine - INFO - Epoch(train) [25][1340/1879] lr: 7.5417e-02 eta: 2 days, 13:23:33 time: 0.4979 data_time: 0.0304 memory: 18108 grad_norm: 3.1343 loss: 4.9561 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 2.8885 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 2.0675 2023/01/31 15:42:47 - mmengine - INFO - Epoch(train) [25][1360/1879] lr: 7.5445e-02 eta: 2 days, 13:23:20 time: 0.4961 data_time: 0.0358 memory: 18108 grad_norm: 3.1265 loss: 4.7684 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6872 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0812 2023/01/31 15:42:57 - mmengine - INFO - Epoch(train) [25][1380/1879] lr: 7.5473e-02 eta: 2 days, 13:23:08 time: 0.4986 data_time: 0.0361 memory: 18108 grad_norm: 3.1272 loss: 5.0541 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9739 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 2.0802 2023/01/31 15:43:07 - mmengine - INFO - Epoch(train) [25][1400/1879] lr: 7.5501e-02 eta: 2 days, 13:22:55 time: 0.4945 data_time: 0.0362 memory: 18108 grad_norm: 3.1336 loss: 4.8955 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7364 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.1591 2023/01/31 15:43:16 - mmengine - INFO - Epoch(train) [25][1420/1879] lr: 7.5529e-02 eta: 2 days, 13:22:43 time: 0.4973 data_time: 0.0324 memory: 18108 grad_norm: 3.0986 loss: 4.9269 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7960 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 2.1309 2023/01/31 15:43:26 - mmengine - INFO - Epoch(train) [25][1440/1879] lr: 7.5558e-02 eta: 2 days, 13:22:30 time: 0.4936 data_time: 0.0350 memory: 18108 grad_norm: 3.1129 loss: 4.6875 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6022 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0853 2023/01/31 15:43:36 - mmengine - INFO - Epoch(train) [25][1460/1879] lr: 7.5586e-02 eta: 2 days, 13:22:19 time: 0.5012 data_time: 0.0297 memory: 18108 grad_norm: 3.1012 loss: 5.0787 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9968 top1_acc_1: 0.4588 top5_acc_1: 0.6706 loss_cls_1: 2.0819 2023/01/31 15:43:46 - mmengine - INFO - Epoch(train) [25][1480/1879] lr: 7.5614e-02 eta: 2 days, 13:22:05 time: 0.4894 data_time: 0.0356 memory: 18108 grad_norm: 3.1837 loss: 4.9959 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9974 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.9984 2023/01/31 15:43:56 - mmengine - INFO - Epoch(train) [25][1500/1879] lr: 7.5642e-02 eta: 2 days, 13:21:54 time: 0.5039 data_time: 0.0368 memory: 18108 grad_norm: 3.1115 loss: 4.7874 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6987 top1_acc_1: 0.5176 top5_acc_1: 0.6471 loss_cls_1: 2.0887 2023/01/31 15:44:06 - mmengine - INFO - Epoch(train) [25][1520/1879] lr: 7.5670e-02 eta: 2 days, 13:21:44 time: 0.5082 data_time: 0.0369 memory: 18108 grad_norm: 3.1395 loss: 4.6677 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 2.6922 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.9755 2023/01/31 15:44:16 - mmengine - INFO - Epoch(train) [25][1540/1879] lr: 7.5699e-02 eta: 2 days, 13:21:32 time: 0.4997 data_time: 0.0330 memory: 18108 grad_norm: 3.1537 loss: 4.8439 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.8016 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0423 2023/01/31 15:44:26 - mmengine - INFO - Epoch(train) [25][1560/1879] lr: 7.5727e-02 eta: 2 days, 13:21:19 time: 0.4948 data_time: 0.0365 memory: 18108 grad_norm: 3.1592 loss: 4.7556 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.7168 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 2.0388 2023/01/31 15:44:36 - mmengine - INFO - Epoch(train) [25][1580/1879] lr: 7.5755e-02 eta: 2 days, 13:21:08 time: 0.5025 data_time: 0.0400 memory: 18108 grad_norm: 3.1476 loss: 4.6763 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.6067 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0696 2023/01/31 15:44:46 - mmengine - INFO - Epoch(train) [25][1600/1879] lr: 7.5783e-02 eta: 2 days, 13:20:57 time: 0.5040 data_time: 0.0323 memory: 18108 grad_norm: 3.1096 loss: 4.7137 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5126 top1_acc_1: 0.5647 top5_acc_1: 0.7059 loss_cls_1: 2.2012 2023/01/31 15:44:56 - mmengine - INFO - Epoch(train) [25][1620/1879] lr: 7.5811e-02 eta: 2 days, 13:20:44 time: 0.4959 data_time: 0.0340 memory: 18108 grad_norm: 3.1511 loss: 4.9463 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8511 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.0952 2023/01/31 15:45:06 - mmengine - INFO - Epoch(train) [25][1640/1879] lr: 7.5839e-02 eta: 2 days, 13:20:31 time: 0.4913 data_time: 0.0405 memory: 18108 grad_norm: 3.1423 loss: 4.8052 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7268 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0784 2023/01/31 15:45:16 - mmengine - INFO - Epoch(train) [25][1660/1879] lr: 7.5868e-02 eta: 2 days, 13:20:21 time: 0.5108 data_time: 0.0349 memory: 18108 grad_norm: 3.1446 loss: 5.0179 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.9002 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.1177 2023/01/31 15:45:27 - mmengine - INFO - Epoch(train) [25][1680/1879] lr: 7.5896e-02 eta: 2 days, 13:20:10 time: 0.5052 data_time: 0.0335 memory: 18108 grad_norm: 3.1462 loss: 4.7447 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6210 top1_acc_1: 0.4706 top5_acc_1: 0.7882 loss_cls_1: 2.1237 2023/01/31 15:45:36 - mmengine - INFO - Epoch(train) [25][1700/1879] lr: 7.5924e-02 eta: 2 days, 13:19:58 time: 0.4971 data_time: 0.0403 memory: 18108 grad_norm: 3.1138 loss: 4.8018 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8304 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9714 2023/01/31 15:45:47 - mmengine - INFO - Epoch(train) [25][1720/1879] lr: 7.5952e-02 eta: 2 days, 13:19:48 time: 0.5091 data_time: 0.0335 memory: 18108 grad_norm: 3.1389 loss: 4.9683 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.9564 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 2.0119 2023/01/31 15:45:57 - mmengine - INFO - Epoch(train) [25][1740/1879] lr: 7.5980e-02 eta: 2 days, 13:19:39 time: 0.5144 data_time: 0.0348 memory: 18108 grad_norm: 3.1659 loss: 5.0179 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.9238 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.0942 2023/01/31 15:46:07 - mmengine - INFO - Epoch(train) [25][1760/1879] lr: 7.6008e-02 eta: 2 days, 13:19:30 time: 0.5138 data_time: 0.0321 memory: 18108 grad_norm: 3.1444 loss: 5.0334 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9191 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 2.1144 2023/01/31 15:46:18 - mmengine - INFO - Epoch(train) [25][1780/1879] lr: 7.6037e-02 eta: 2 days, 13:19:21 time: 0.5142 data_time: 0.0484 memory: 18108 grad_norm: 3.0952 loss: 5.1427 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 3.0129 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 2.1298 2023/01/31 15:46:27 - mmengine - INFO - Epoch(train) [25][1800/1879] lr: 7.6065e-02 eta: 2 days, 13:19:08 time: 0.4965 data_time: 0.0324 memory: 18108 grad_norm: 3.0734 loss: 4.8895 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.8768 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 2.0127 2023/01/31 15:46:38 - mmengine - INFO - Epoch(train) [25][1820/1879] lr: 7.6093e-02 eta: 2 days, 13:19:00 time: 0.5177 data_time: 0.0339 memory: 18108 grad_norm: 3.1473 loss: 4.8547 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7803 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 2.0744 2023/01/31 15:46:48 - mmengine - INFO - Epoch(train) [25][1840/1879] lr: 7.6121e-02 eta: 2 days, 13:18:48 time: 0.4990 data_time: 0.0376 memory: 18108 grad_norm: 3.0932 loss: 5.0331 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9857 top1_acc_1: 0.4471 top5_acc_1: 0.6588 loss_cls_1: 2.0474 2023/01/31 15:46:58 - mmengine - INFO - Epoch(train) [25][1860/1879] lr: 7.6149e-02 eta: 2 days, 13:18:37 time: 0.5028 data_time: 0.0351 memory: 18108 grad_norm: 3.0555 loss: 5.0220 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.0238 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.9982 2023/01/31 15:47:07 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 15:47:07 - mmengine - INFO - Epoch(train) [25][1879/1879] lr: 7.6176e-02 eta: 2 days, 13:18:20 time: 0.4682 data_time: 0.0304 memory: 18108 grad_norm: 3.1714 loss: 4.5543 top1_acc_0: 0.1429 top5_acc_0: 0.5714 loss_cls_0: 2.5758 top1_acc_1: 0.4824 top5_acc_1: 0.8000 loss_cls_1: 1.9785 2023/01/31 15:47:22 - mmengine - INFO - Epoch(train) [26][ 20/1879] lr: 7.6204e-02 eta: 2 days, 13:18:46 time: 0.7037 data_time: 0.2610 memory: 18108 grad_norm: 3.1142 loss: 5.0885 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 3.0397 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 2.0488 2023/01/31 15:47:24 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 15:47:31 - mmengine - INFO - Epoch(train) [26][ 40/1879] lr: 7.6232e-02 eta: 2 days, 13:18:28 time: 0.4682 data_time: 0.0320 memory: 18108 grad_norm: 3.0947 loss: 4.6964 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6946 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 2.0018 2023/01/31 15:47:41 - mmengine - INFO - Epoch(train) [26][ 60/1879] lr: 7.6261e-02 eta: 2 days, 13:18:12 time: 0.4735 data_time: 0.0365 memory: 18108 grad_norm: 3.1410 loss: 4.7927 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7397 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 2.0530 2023/01/31 15:47:51 - mmengine - INFO - Epoch(train) [26][ 80/1879] lr: 7.6289e-02 eta: 2 days, 13:18:00 time: 0.5005 data_time: 0.0303 memory: 18108 grad_norm: 3.1327 loss: 4.8340 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7347 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.0993 2023/01/31 15:48:00 - mmengine - INFO - Epoch(train) [26][ 100/1879] lr: 7.6317e-02 eta: 2 days, 13:17:44 time: 0.4765 data_time: 0.0369 memory: 18108 grad_norm: 3.2119 loss: 4.6454 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.6482 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.9972 2023/01/31 15:48:09 - mmengine - INFO - Epoch(train) [26][ 120/1879] lr: 7.6345e-02 eta: 2 days, 13:17:26 time: 0.4669 data_time: 0.0312 memory: 18108 grad_norm: 3.1383 loss: 4.8895 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9244 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.9652 2023/01/31 15:48:19 - mmengine - INFO - Epoch(train) [26][ 140/1879] lr: 7.6373e-02 eta: 2 days, 13:17:14 time: 0.4950 data_time: 0.0376 memory: 18108 grad_norm: 3.0917 loss: 4.7910 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7269 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 2.0641 2023/01/31 15:48:29 - mmengine - INFO - Epoch(train) [26][ 160/1879] lr: 7.6402e-02 eta: 2 days, 13:16:58 time: 0.4820 data_time: 0.0308 memory: 18108 grad_norm: 3.1746 loss: 4.9174 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.9375 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.9799 2023/01/31 15:48:39 - mmengine - INFO - Epoch(train) [26][ 180/1879] lr: 7.6430e-02 eta: 2 days, 13:16:43 time: 0.4783 data_time: 0.0392 memory: 18108 grad_norm: 3.1169 loss: 4.8507 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.8211 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.0296 2023/01/31 15:48:48 - mmengine - INFO - Epoch(train) [26][ 200/1879] lr: 7.6458e-02 eta: 2 days, 13:16:25 time: 0.4692 data_time: 0.0315 memory: 18108 grad_norm: 3.1442 loss: 4.8539 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.8653 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.9886 2023/01/31 15:48:58 - mmengine - INFO - Epoch(train) [26][ 220/1879] lr: 7.6486e-02 eta: 2 days, 13:16:17 time: 0.5175 data_time: 0.0351 memory: 18108 grad_norm: 3.1330 loss: 4.8844 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8560 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 2.0283 2023/01/31 15:49:08 - mmengine - INFO - Epoch(train) [26][ 240/1879] lr: 7.6514e-02 eta: 2 days, 13:16:03 time: 0.4858 data_time: 0.0306 memory: 18108 grad_norm: 3.1922 loss: 4.9493 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9559 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.9934 2023/01/31 15:49:18 - mmengine - INFO - Epoch(train) [26][ 260/1879] lr: 7.6542e-02 eta: 2 days, 13:15:48 time: 0.4850 data_time: 0.0363 memory: 18108 grad_norm: 3.1829 loss: 4.9784 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.9549 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.0235 2023/01/31 15:49:28 - mmengine - INFO - Epoch(train) [26][ 280/1879] lr: 7.6571e-02 eta: 2 days, 13:15:36 time: 0.4978 data_time: 0.0369 memory: 18108 grad_norm: 3.1301 loss: 4.8652 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.8504 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.0147 2023/01/31 15:49:37 - mmengine - INFO - Epoch(train) [26][ 300/1879] lr: 7.6599e-02 eta: 2 days, 13:15:22 time: 0.4889 data_time: 0.0373 memory: 18108 grad_norm: 3.1330 loss: 4.7159 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7552 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.9607 2023/01/31 15:49:47 - mmengine - INFO - Epoch(train) [26][ 320/1879] lr: 7.6627e-02 eta: 2 days, 13:15:08 time: 0.4856 data_time: 0.0292 memory: 18108 grad_norm: 3.1055 loss: 4.7457 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7386 top1_acc_1: 0.3765 top5_acc_1: 0.6824 loss_cls_1: 2.0071 2023/01/31 15:49:57 - mmengine - INFO - Epoch(train) [26][ 340/1879] lr: 7.6655e-02 eta: 2 days, 13:14:55 time: 0.4944 data_time: 0.0353 memory: 18108 grad_norm: 3.2020 loss: 4.8362 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.8584 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.9778 2023/01/31 15:50:07 - mmengine - INFO - Epoch(train) [26][ 360/1879] lr: 7.6683e-02 eta: 2 days, 13:14:43 time: 0.4989 data_time: 0.0391 memory: 18108 grad_norm: 3.1810 loss: 4.8239 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7050 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.1190 2023/01/31 15:50:17 - mmengine - INFO - Epoch(train) [26][ 380/1879] lr: 7.6711e-02 eta: 2 days, 13:14:30 time: 0.4910 data_time: 0.0353 memory: 18108 grad_norm: 3.1110 loss: 5.0044 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.9374 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 2.0671 2023/01/31 15:50:27 - mmengine - INFO - Epoch(train) [26][ 400/1879] lr: 7.6740e-02 eta: 2 days, 13:14:16 time: 0.4865 data_time: 0.0301 memory: 18108 grad_norm: 3.1065 loss: 5.1207 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 3.0261 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 2.0946 2023/01/31 15:50:37 - mmengine - INFO - Epoch(train) [26][ 420/1879] lr: 7.6768e-02 eta: 2 days, 13:14:04 time: 0.4994 data_time: 0.0354 memory: 18108 grad_norm: 3.1600 loss: 4.7248 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7180 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0068 2023/01/31 15:50:46 - mmengine - INFO - Epoch(train) [26][ 440/1879] lr: 7.6796e-02 eta: 2 days, 13:13:51 time: 0.4936 data_time: 0.0372 memory: 18108 grad_norm: 3.1606 loss: 4.7592 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.6566 top1_acc_1: 0.4706 top5_acc_1: 0.6941 loss_cls_1: 2.1026 2023/01/31 15:50:56 - mmengine - INFO - Epoch(train) [26][ 460/1879] lr: 7.6824e-02 eta: 2 days, 13:13:39 time: 0.4997 data_time: 0.0368 memory: 18108 grad_norm: 3.1750 loss: 4.9020 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.9430 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.9590 2023/01/31 15:51:06 - mmengine - INFO - Epoch(train) [26][ 480/1879] lr: 7.6852e-02 eta: 2 days, 13:13:25 time: 0.4845 data_time: 0.0305 memory: 18108 grad_norm: 3.1919 loss: 4.8437 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8269 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0168 2023/01/31 15:51:16 - mmengine - INFO - Epoch(train) [26][ 500/1879] lr: 7.6880e-02 eta: 2 days, 13:13:15 time: 0.5104 data_time: 0.0436 memory: 18108 grad_norm: 3.1597 loss: 4.9850 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8071 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 2.1779 2023/01/31 15:51:26 - mmengine - INFO - Epoch(train) [26][ 520/1879] lr: 7.6909e-02 eta: 2 days, 13:13:04 time: 0.5067 data_time: 0.0311 memory: 18108 grad_norm: 3.1247 loss: 4.8001 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.7446 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.0555 2023/01/31 15:51:36 - mmengine - INFO - Epoch(train) [26][ 540/1879] lr: 7.6937e-02 eta: 2 days, 13:12:52 time: 0.4937 data_time: 0.0359 memory: 18108 grad_norm: 3.1488 loss: 4.7921 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7621 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 2.0300 2023/01/31 15:51:46 - mmengine - INFO - Epoch(train) [26][ 560/1879] lr: 7.6965e-02 eta: 2 days, 13:12:38 time: 0.4891 data_time: 0.0305 memory: 18108 grad_norm: 3.0966 loss: 4.8782 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8473 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.0308 2023/01/31 15:51:56 - mmengine - INFO - Epoch(train) [26][ 580/1879] lr: 7.6993e-02 eta: 2 days, 13:12:28 time: 0.5087 data_time: 0.0370 memory: 18108 grad_norm: 3.1197 loss: 4.7322 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6958 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 2.0364 2023/01/31 15:52:06 - mmengine - INFO - Epoch(train) [26][ 600/1879] lr: 7.7021e-02 eta: 2 days, 13:12:16 time: 0.4979 data_time: 0.0286 memory: 18108 grad_norm: 3.1481 loss: 4.8094 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7506 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 2.0589 2023/01/31 15:52:16 - mmengine - INFO - Epoch(train) [26][ 620/1879] lr: 7.7050e-02 eta: 2 days, 13:12:05 time: 0.5069 data_time: 0.0353 memory: 18108 grad_norm: 3.0990 loss: 5.1119 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.0341 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.0777 2023/01/31 15:52:26 - mmengine - INFO - Epoch(train) [26][ 640/1879] lr: 7.7078e-02 eta: 2 days, 13:11:52 time: 0.4885 data_time: 0.0289 memory: 18108 grad_norm: 3.1442 loss: 4.5350 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6073 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.9277 2023/01/31 15:52:36 - mmengine - INFO - Epoch(train) [26][ 660/1879] lr: 7.7106e-02 eta: 2 days, 13:11:41 time: 0.5080 data_time: 0.0427 memory: 18108 grad_norm: 3.3039 loss: 4.9765 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9935 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9830 2023/01/31 15:52:46 - mmengine - INFO - Epoch(train) [26][ 680/1879] lr: 7.7134e-02 eta: 2 days, 13:11:28 time: 0.4912 data_time: 0.0314 memory: 18108 grad_norm: 3.1904 loss: 4.7473 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6991 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.0482 2023/01/31 15:52:56 - mmengine - INFO - Epoch(train) [26][ 700/1879] lr: 7.7162e-02 eta: 2 days, 13:11:15 time: 0.4914 data_time: 0.0355 memory: 18108 grad_norm: 3.1286 loss: 4.7666 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.6222 top1_acc_1: 0.4706 top5_acc_1: 0.6824 loss_cls_1: 2.1445 2023/01/31 15:53:06 - mmengine - INFO - Epoch(train) [26][ 720/1879] lr: 7.7190e-02 eta: 2 days, 13:11:04 time: 0.5073 data_time: 0.0307 memory: 18108 grad_norm: 3.1440 loss: 4.8131 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.8124 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.0008 2023/01/31 15:53:16 - mmengine - INFO - Epoch(train) [26][ 740/1879] lr: 7.7219e-02 eta: 2 days, 13:10:52 time: 0.4965 data_time: 0.0442 memory: 18108 grad_norm: 3.1482 loss: 5.0448 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.9111 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.1337 2023/01/31 15:53:26 - mmengine - INFO - Epoch(train) [26][ 760/1879] lr: 7.7247e-02 eta: 2 days, 13:10:41 time: 0.5052 data_time: 0.0296 memory: 18108 grad_norm: 3.1516 loss: 4.6573 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5887 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.0685 2023/01/31 15:53:36 - mmengine - INFO - Epoch(train) [26][ 780/1879] lr: 7.7275e-02 eta: 2 days, 13:10:30 time: 0.5010 data_time: 0.0376 memory: 18108 grad_norm: 3.2127 loss: 4.8754 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7244 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.1511 2023/01/31 15:53:46 - mmengine - INFO - Epoch(train) [26][ 800/1879] lr: 7.7303e-02 eta: 2 days, 13:10:18 time: 0.4977 data_time: 0.0301 memory: 18108 grad_norm: 3.1279 loss: 4.6388 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5287 top1_acc_1: 0.4706 top5_acc_1: 0.7059 loss_cls_1: 2.1101 2023/01/31 15:53:56 - mmengine - INFO - Epoch(train) [26][ 820/1879] lr: 7.7331e-02 eta: 2 days, 13:10:06 time: 0.4985 data_time: 0.0387 memory: 18108 grad_norm: 3.0923 loss: 4.8061 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7454 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 2.0607 2023/01/31 15:54:06 - mmengine - INFO - Epoch(train) [26][ 840/1879] lr: 7.7359e-02 eta: 2 days, 13:09:54 time: 0.4963 data_time: 0.0320 memory: 18108 grad_norm: 3.2093 loss: 5.0307 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9934 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.0373 2023/01/31 15:54:16 - mmengine - INFO - Epoch(train) [26][ 860/1879] lr: 7.7388e-02 eta: 2 days, 13:09:42 time: 0.4994 data_time: 0.0364 memory: 18108 grad_norm: 3.1738 loss: 4.8560 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7850 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 2.0710 2023/01/31 15:54:26 - mmengine - INFO - Epoch(train) [26][ 880/1879] lr: 7.7416e-02 eta: 2 days, 13:09:29 time: 0.4923 data_time: 0.0300 memory: 18108 grad_norm: 3.0647 loss: 5.0891 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.0133 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 2.0757 2023/01/31 15:54:36 - mmengine - INFO - Epoch(train) [26][ 900/1879] lr: 7.7444e-02 eta: 2 days, 13:09:17 time: 0.4978 data_time: 0.0364 memory: 18108 grad_norm: 3.0731 loss: 5.0083 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.9673 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.0410 2023/01/31 15:54:46 - mmengine - INFO - Epoch(train) [26][ 920/1879] lr: 7.7472e-02 eta: 2 days, 13:09:06 time: 0.5062 data_time: 0.0307 memory: 18108 grad_norm: 3.1029 loss: 4.5577 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5816 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.9761 2023/01/31 15:54:56 - mmengine - INFO - Epoch(train) [26][ 940/1879] lr: 7.7500e-02 eta: 2 days, 13:08:54 time: 0.4983 data_time: 0.0431 memory: 18108 grad_norm: 3.1246 loss: 4.8243 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7633 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 2.0610 2023/01/31 15:55:06 - mmengine - INFO - Epoch(train) [26][ 960/1879] lr: 7.7529e-02 eta: 2 days, 13:08:42 time: 0.4980 data_time: 0.0299 memory: 18108 grad_norm: 3.1678 loss: 4.8499 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8018 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 2.0481 2023/01/31 15:55:16 - mmengine - INFO - Epoch(train) [26][ 980/1879] lr: 7.7557e-02 eta: 2 days, 13:08:28 time: 0.4890 data_time: 0.0368 memory: 18108 grad_norm: 3.1453 loss: 4.9752 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.8388 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 2.1363 2023/01/31 15:57:04 - mmengine - INFO - Epoch(train) [26][1000/1879] lr: 7.7585e-02 eta: 2 days, 13:23:01 time: 5.3988 data_time: 0.0312 memory: 18108 grad_norm: 3.1030 loss: 4.7365 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.6986 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 2.0379 2023/01/31 15:57:14 - mmengine - INFO - Epoch(train) [26][1020/1879] lr: 7.7613e-02 eta: 2 days, 13:22:50 time: 0.5037 data_time: 0.0433 memory: 18108 grad_norm: 3.0929 loss: 4.8109 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8274 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9835 2023/01/31 15:57:16 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 15:57:23 - mmengine - INFO - Epoch(train) [26][1040/1879] lr: 7.7641e-02 eta: 2 days, 13:22:35 time: 0.4838 data_time: 0.0302 memory: 18108 grad_norm: 3.1177 loss: 5.0245 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8468 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 2.1777 2023/01/31 15:57:33 - mmengine - INFO - Epoch(train) [26][1060/1879] lr: 7.7669e-02 eta: 2 days, 13:22:22 time: 0.4945 data_time: 0.0347 memory: 18108 grad_norm: 3.0869 loss: 5.1881 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.0895 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.0986 2023/01/31 15:57:43 - mmengine - INFO - Epoch(train) [26][1080/1879] lr: 7.7698e-02 eta: 2 days, 13:22:11 time: 0.5048 data_time: 0.0306 memory: 18108 grad_norm: 3.0899 loss: 4.7765 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6890 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 2.0875 2023/01/31 15:57:54 - mmengine - INFO - Epoch(train) [26][1100/1879] lr: 7.7726e-02 eta: 2 days, 13:22:01 time: 0.5129 data_time: 0.0444 memory: 18108 grad_norm: 3.1246 loss: 4.6675 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6467 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 2.0208 2023/01/31 15:58:04 - mmengine - INFO - Epoch(train) [26][1120/1879] lr: 7.7754e-02 eta: 2 days, 13:21:50 time: 0.5062 data_time: 0.0305 memory: 18108 grad_norm: 3.1594 loss: 4.9088 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8397 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 2.0691 2023/01/31 15:58:14 - mmengine - INFO - Epoch(train) [26][1140/1879] lr: 7.7782e-02 eta: 2 days, 13:21:39 time: 0.5043 data_time: 0.0347 memory: 18108 grad_norm: 3.1951 loss: 5.0327 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.9677 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.0649 2023/01/31 15:58:24 - mmengine - INFO - Epoch(train) [26][1160/1879] lr: 7.7810e-02 eta: 2 days, 13:21:26 time: 0.4982 data_time: 0.0290 memory: 18108 grad_norm: 3.0864 loss: 4.7876 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7948 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9928 2023/01/31 15:58:34 - mmengine - INFO - Epoch(train) [26][1180/1879] lr: 7.7838e-02 eta: 2 days, 13:21:14 time: 0.4962 data_time: 0.0428 memory: 18108 grad_norm: 3.0961 loss: 4.9939 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.8638 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.1301 2023/01/31 15:58:44 - mmengine - INFO - Epoch(train) [26][1200/1879] lr: 7.7867e-02 eta: 2 days, 13:21:02 time: 0.5006 data_time: 0.0291 memory: 18108 grad_norm: 3.0696 loss: 4.8713 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8914 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.9799 2023/01/31 15:58:54 - mmengine - INFO - Epoch(train) [26][1220/1879] lr: 7.7895e-02 eta: 2 days, 13:20:51 time: 0.5106 data_time: 0.0345 memory: 18108 grad_norm: 3.1231 loss: 4.8423 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7315 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 2.1109 2023/01/31 15:59:04 - mmengine - INFO - Epoch(train) [26][1240/1879] lr: 7.7923e-02 eta: 2 days, 13:20:41 time: 0.5073 data_time: 0.0364 memory: 18108 grad_norm: 3.1326 loss: 4.9290 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9202 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.0088 2023/01/31 15:59:14 - mmengine - INFO - Epoch(train) [26][1260/1879] lr: 7.7951e-02 eta: 2 days, 13:20:29 time: 0.4995 data_time: 0.0361 memory: 18108 grad_norm: 3.0814 loss: 5.0162 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.9365 top1_acc_1: 0.4588 top5_acc_1: 0.7765 loss_cls_1: 2.0797 2023/01/31 15:59:24 - mmengine - INFO - Epoch(train) [26][1280/1879] lr: 7.7979e-02 eta: 2 days, 13:20:16 time: 0.4993 data_time: 0.0310 memory: 18108 grad_norm: 3.0867 loss: 4.8417 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7919 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.0498 2023/01/31 15:59:34 - mmengine - INFO - Epoch(train) [26][1300/1879] lr: 7.8008e-02 eta: 2 days, 13:20:07 time: 0.5121 data_time: 0.0353 memory: 18108 grad_norm: 3.1238 loss: 4.8684 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.8599 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 2.0085 2023/01/31 15:59:44 - mmengine - INFO - Epoch(train) [26][1320/1879] lr: 7.8036e-02 eta: 2 days, 13:19:55 time: 0.5000 data_time: 0.0356 memory: 18108 grad_norm: 3.0977 loss: 5.1533 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.0655 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.0878 2023/01/31 15:59:55 - mmengine - INFO - Epoch(train) [26][1340/1879] lr: 7.8064e-02 eta: 2 days, 13:19:45 time: 0.5122 data_time: 0.0369 memory: 18108 grad_norm: 3.0226 loss: 4.9141 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8389 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 2.0752 2023/01/31 16:00:05 - mmengine - INFO - Epoch(train) [26][1360/1879] lr: 7.8092e-02 eta: 2 days, 13:19:34 time: 0.5053 data_time: 0.0301 memory: 18108 grad_norm: 3.0802 loss: 4.7514 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6627 top1_acc_1: 0.4235 top5_acc_1: 0.6235 loss_cls_1: 2.0887 2023/01/31 16:00:15 - mmengine - INFO - Epoch(train) [26][1380/1879] lr: 7.8120e-02 eta: 2 days, 13:19:24 time: 0.5141 data_time: 0.0430 memory: 18108 grad_norm: 3.1078 loss: 4.8213 top1_acc_0: 0.2500 top5_acc_0: 0.8750 loss_cls_0: 2.8060 top1_acc_1: 0.5647 top5_acc_1: 0.7176 loss_cls_1: 2.0153 2023/01/31 16:00:25 - mmengine - INFO - Epoch(train) [26][1400/1879] lr: 7.8148e-02 eta: 2 days, 13:19:11 time: 0.4956 data_time: 0.0303 memory: 18108 grad_norm: 3.1489 loss: 5.0384 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.9600 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0784 2023/01/31 16:00:35 - mmengine - INFO - Epoch(train) [26][1420/1879] lr: 7.8177e-02 eta: 2 days, 13:19:00 time: 0.5072 data_time: 0.0375 memory: 18108 grad_norm: 3.0242 loss: 4.7785 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6968 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0817 2023/01/31 16:00:45 - mmengine - INFO - Epoch(train) [26][1440/1879] lr: 7.8205e-02 eta: 2 days, 13:18:49 time: 0.5049 data_time: 0.0309 memory: 18108 grad_norm: 3.1037 loss: 5.0808 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9535 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 2.1273 2023/01/31 16:00:55 - mmengine - INFO - Epoch(train) [26][1460/1879] lr: 7.8233e-02 eta: 2 days, 13:18:39 time: 0.5086 data_time: 0.0446 memory: 18108 grad_norm: 3.1374 loss: 4.8930 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8476 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.0454 2023/01/31 16:01:05 - mmengine - INFO - Epoch(train) [26][1480/1879] lr: 7.8261e-02 eta: 2 days, 13:18:26 time: 0.4949 data_time: 0.0294 memory: 18108 grad_norm: 3.1333 loss: 5.0343 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9286 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.1057 2023/01/31 16:01:16 - mmengine - INFO - Epoch(train) [26][1500/1879] lr: 7.8289e-02 eta: 2 days, 13:18:15 time: 0.5089 data_time: 0.0386 memory: 18108 grad_norm: 3.1021 loss: 5.0223 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.9095 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.1128 2023/01/31 16:01:26 - mmengine - INFO - Epoch(train) [26][1520/1879] lr: 7.8317e-02 eta: 2 days, 13:18:04 time: 0.5010 data_time: 0.0354 memory: 18108 grad_norm: 3.1658 loss: 5.0267 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9383 top1_acc_1: 0.5882 top5_acc_1: 0.7176 loss_cls_1: 2.0883 2023/01/31 16:01:36 - mmengine - INFO - Epoch(train) [26][1540/1879] lr: 7.8346e-02 eta: 2 days, 13:17:52 time: 0.5038 data_time: 0.0375 memory: 18108 grad_norm: 3.0730 loss: 4.8332 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7166 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.1166 2023/01/31 16:01:46 - mmengine - INFO - Epoch(train) [26][1560/1879] lr: 7.8374e-02 eta: 2 days, 13:17:39 time: 0.4946 data_time: 0.0294 memory: 18108 grad_norm: 3.1143 loss: 4.8771 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8623 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.0147 2023/01/31 16:01:56 - mmengine - INFO - Epoch(train) [26][1580/1879] lr: 7.8402e-02 eta: 2 days, 13:17:31 time: 0.5208 data_time: 0.0356 memory: 18108 grad_norm: 3.0683 loss: 4.6600 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6071 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0529 2023/01/31 16:02:06 - mmengine - INFO - Epoch(train) [26][1600/1879] lr: 7.8430e-02 eta: 2 days, 13:17:23 time: 0.5224 data_time: 0.0351 memory: 18108 grad_norm: 3.0525 loss: 4.7686 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6683 top1_acc_1: 0.5529 top5_acc_1: 0.6941 loss_cls_1: 2.1003 2023/01/31 16:02:17 - mmengine - INFO - Epoch(train) [26][1620/1879] lr: 7.8458e-02 eta: 2 days, 13:17:14 time: 0.5166 data_time: 0.0360 memory: 18108 grad_norm: 3.1165 loss: 4.8207 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7539 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 2.0667 2023/01/31 16:02:27 - mmengine - INFO - Epoch(train) [26][1640/1879] lr: 7.8486e-02 eta: 2 days, 13:17:05 time: 0.5179 data_time: 0.0281 memory: 18108 grad_norm: 3.1179 loss: 4.8953 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8305 top1_acc_1: 0.4824 top5_acc_1: 0.8000 loss_cls_1: 2.0648 2023/01/31 16:02:37 - mmengine - INFO - Epoch(train) [26][1660/1879] lr: 7.8515e-02 eta: 2 days, 13:16:56 time: 0.5179 data_time: 0.0472 memory: 18108 grad_norm: 3.1326 loss: 5.0758 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.0254 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 2.0504 2023/01/31 16:02:48 - mmengine - INFO - Epoch(train) [26][1680/1879] lr: 7.8543e-02 eta: 2 days, 13:16:49 time: 0.5271 data_time: 0.0291 memory: 18108 grad_norm: 3.0892 loss: 4.8945 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7683 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 2.1262 2023/01/31 16:02:58 - mmengine - INFO - Epoch(train) [26][1700/1879] lr: 7.8571e-02 eta: 2 days, 13:16:39 time: 0.5097 data_time: 0.0364 memory: 18108 grad_norm: 3.1600 loss: 4.9725 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9822 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9903 2023/01/31 16:03:09 - mmengine - INFO - Epoch(train) [26][1720/1879] lr: 7.8599e-02 eta: 2 days, 13:16:30 time: 0.5164 data_time: 0.0293 memory: 18108 grad_norm: 3.1368 loss: 4.7713 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.7001 top1_acc_1: 0.4706 top5_acc_1: 0.6824 loss_cls_1: 2.0712 2023/01/31 16:03:19 - mmengine - INFO - Epoch(train) [26][1740/1879] lr: 7.8627e-02 eta: 2 days, 13:16:20 time: 0.5168 data_time: 0.0359 memory: 18108 grad_norm: 3.0484 loss: 4.9745 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.8527 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 2.1218 2023/01/31 16:03:29 - mmengine - INFO - Epoch(train) [26][1760/1879] lr: 7.8656e-02 eta: 2 days, 13:16:10 time: 0.5065 data_time: 0.0291 memory: 18108 grad_norm: 3.0791 loss: 5.0014 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9478 top1_acc_1: 0.3765 top5_acc_1: 0.6941 loss_cls_1: 2.0536 2023/01/31 16:03:39 - mmengine - INFO - Epoch(train) [26][1780/1879] lr: 7.8684e-02 eta: 2 days, 13:16:01 time: 0.5210 data_time: 0.0359 memory: 18108 grad_norm: 3.1184 loss: 5.1670 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.0372 top1_acc_1: 0.4941 top5_acc_1: 0.6118 loss_cls_1: 2.1298 2023/01/31 16:03:50 - mmengine - INFO - Epoch(train) [26][1800/1879] lr: 7.8712e-02 eta: 2 days, 13:15:51 time: 0.5077 data_time: 0.0289 memory: 18108 grad_norm: 3.0623 loss: 5.0139 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8870 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.1269 2023/01/31 16:04:00 - mmengine - INFO - Epoch(train) [26][1820/1879] lr: 7.8740e-02 eta: 2 days, 13:15:42 time: 0.5187 data_time: 0.0434 memory: 18108 grad_norm: 3.1138 loss: 5.0264 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8967 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.1297 2023/01/31 16:04:10 - mmengine - INFO - Epoch(train) [26][1840/1879] lr: 7.8768e-02 eta: 2 days, 13:15:33 time: 0.5163 data_time: 0.0305 memory: 18108 grad_norm: 3.0346 loss: 5.0397 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9429 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.0969 2023/01/31 16:04:20 - mmengine - INFO - Epoch(train) [26][1860/1879] lr: 7.8796e-02 eta: 2 days, 13:15:21 time: 0.5019 data_time: 0.0354 memory: 18108 grad_norm: 3.0317 loss: 4.8287 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7138 top1_acc_1: 0.4471 top5_acc_1: 0.7294 loss_cls_1: 2.1148 2023/01/31 16:04:30 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 16:04:30 - mmengine - INFO - Epoch(train) [26][1879/1879] lr: 7.8823e-02 eta: 2 days, 13:15:10 time: 0.5020 data_time: 0.0364 memory: 18108 grad_norm: 3.1886 loss: 4.7166 top1_acc_0: 0.4286 top5_acc_0: 0.5714 loss_cls_0: 2.7350 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.9816 2023/01/31 16:04:45 - mmengine - INFO - Epoch(train) [27][ 20/1879] lr: 7.8851e-02 eta: 2 days, 13:15:32 time: 0.6940 data_time: 0.2544 memory: 18108 grad_norm: 3.0807 loss: 4.6924 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6823 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 2.0101 2023/01/31 16:04:54 - mmengine - INFO - Epoch(train) [27][ 40/1879] lr: 7.8880e-02 eta: 2 days, 13:15:13 time: 0.4583 data_time: 0.0345 memory: 18108 grad_norm: 3.1019 loss: 4.6690 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.6689 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 2.0001 2023/01/31 16:05:03 - mmengine - INFO - Epoch(train) [27][ 60/1879] lr: 7.8908e-02 eta: 2 days, 13:14:57 time: 0.4763 data_time: 0.0363 memory: 18108 grad_norm: 3.0713 loss: 5.0185 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.0067 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 2.0117 2023/01/31 16:05:13 - mmengine - INFO - Epoch(train) [27][ 80/1879] lr: 7.8936e-02 eta: 2 days, 13:14:47 time: 0.5133 data_time: 0.0442 memory: 18108 grad_norm: 3.0505 loss: 4.7237 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7084 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 2.0152 2023/01/31 16:05:23 - mmengine - INFO - Epoch(train) [27][ 100/1879] lr: 7.8964e-02 eta: 2 days, 13:14:31 time: 0.4767 data_time: 0.0298 memory: 18108 grad_norm: 3.0461 loss: 4.4869 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5605 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.9265 2023/01/31 16:05:33 - mmengine - INFO - Epoch(train) [27][ 120/1879] lr: 7.8992e-02 eta: 2 days, 13:14:15 time: 0.4746 data_time: 0.0393 memory: 18108 grad_norm: 3.1135 loss: 4.8991 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8875 top1_acc_1: 0.4706 top5_acc_1: 0.6824 loss_cls_1: 2.0116 2023/01/31 16:05:43 - mmengine - INFO - Epoch(train) [27][ 140/1879] lr: 7.9020e-02 eta: 2 days, 13:14:03 time: 0.5015 data_time: 0.0351 memory: 18108 grad_norm: 3.1331 loss: 4.8467 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7849 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.0618 2023/01/31 16:05:45 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 16:05:52 - mmengine - INFO - Epoch(train) [27][ 160/1879] lr: 7.9049e-02 eta: 2 days, 13:13:48 time: 0.4830 data_time: 0.0384 memory: 18108 grad_norm: 3.1263 loss: 5.1800 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.1268 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0532 2023/01/31 16:06:02 - mmengine - INFO - Epoch(train) [27][ 180/1879] lr: 7.9077e-02 eta: 2 days, 13:13:32 time: 0.4776 data_time: 0.0305 memory: 18108 grad_norm: 3.1210 loss: 4.7583 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7927 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9656 2023/01/31 16:06:12 - mmengine - INFO - Epoch(train) [27][ 200/1879] lr: 7.9105e-02 eta: 2 days, 13:13:18 time: 0.4877 data_time: 0.0461 memory: 18108 grad_norm: 3.1642 loss: 5.2592 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.1496 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.1096 2023/01/31 16:06:22 - mmengine - INFO - Epoch(train) [27][ 220/1879] lr: 7.9133e-02 eta: 2 days, 13:13:09 time: 0.5172 data_time: 0.0304 memory: 18108 grad_norm: 3.1316 loss: 4.8834 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.9624 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9210 2023/01/31 16:06:32 - mmengine - INFO - Epoch(train) [27][ 240/1879] lr: 7.9161e-02 eta: 2 days, 13:12:55 time: 0.4905 data_time: 0.0357 memory: 18108 grad_norm: 3.1460 loss: 4.7640 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8096 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.9544 2023/01/31 16:06:41 - mmengine - INFO - Epoch(train) [27][ 260/1879] lr: 7.9189e-02 eta: 2 days, 13:12:40 time: 0.4849 data_time: 0.0299 memory: 18108 grad_norm: 3.0984 loss: 4.9937 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8030 top1_acc_1: 0.4000 top5_acc_1: 0.6706 loss_cls_1: 2.1907 2023/01/31 16:06:51 - mmengine - INFO - Epoch(train) [27][ 280/1879] lr: 7.9218e-02 eta: 2 days, 13:12:29 time: 0.5029 data_time: 0.0383 memory: 18108 grad_norm: 3.0663 loss: 4.9336 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8905 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 2.0431 2023/01/31 16:07:01 - mmengine - INFO - Epoch(train) [27][ 300/1879] lr: 7.9246e-02 eta: 2 days, 13:12:16 time: 0.4928 data_time: 0.0295 memory: 18108 grad_norm: 3.1204 loss: 4.8540 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7528 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.1012 2023/01/31 16:07:11 - mmengine - INFO - Epoch(train) [27][ 320/1879] lr: 7.9274e-02 eta: 2 days, 13:12:02 time: 0.4882 data_time: 0.0370 memory: 18108 grad_norm: 3.1267 loss: 4.8157 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8015 top1_acc_1: 0.4235 top5_acc_1: 0.7059 loss_cls_1: 2.0142 2023/01/31 16:07:21 - mmengine - INFO - Epoch(train) [27][ 340/1879] lr: 7.9302e-02 eta: 2 days, 13:11:50 time: 0.5029 data_time: 0.0346 memory: 18108 grad_norm: 3.0616 loss: 4.6118 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.6762 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.9356 2023/01/31 16:07:31 - mmengine - INFO - Epoch(train) [27][ 360/1879] lr: 7.9330e-02 eta: 2 days, 13:11:37 time: 0.4948 data_time: 0.0374 memory: 18108 grad_norm: 3.0955 loss: 4.6626 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.5916 top1_acc_1: 0.4941 top5_acc_1: 0.8353 loss_cls_1: 2.0710 2023/01/31 16:07:41 - mmengine - INFO - Epoch(train) [27][ 380/1879] lr: 7.9359e-02 eta: 2 days, 13:11:23 time: 0.4855 data_time: 0.0298 memory: 18108 grad_norm: 3.0854 loss: 4.7685 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7001 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 2.0684 2023/01/31 16:07:51 - mmengine - INFO - Epoch(train) [27][ 400/1879] lr: 7.9387e-02 eta: 2 days, 13:11:10 time: 0.4987 data_time: 0.0444 memory: 18108 grad_norm: 3.1219 loss: 4.8593 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8415 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.0178 2023/01/31 16:08:01 - mmengine - INFO - Epoch(train) [27][ 420/1879] lr: 7.9415e-02 eta: 2 days, 13:10:57 time: 0.4917 data_time: 0.0298 memory: 18108 grad_norm: 3.1018 loss: 4.7891 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6384 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 2.1507 2023/01/31 16:08:11 - mmengine - INFO - Epoch(train) [27][ 440/1879] lr: 7.9443e-02 eta: 2 days, 13:10:45 time: 0.5004 data_time: 0.0376 memory: 18108 grad_norm: 3.1203 loss: 4.8962 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.8135 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 2.0827 2023/01/31 16:08:20 - mmengine - INFO - Epoch(train) [27][ 460/1879] lr: 7.9471e-02 eta: 2 days, 13:10:30 time: 0.4839 data_time: 0.0304 memory: 18108 grad_norm: 3.1525 loss: 4.9285 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9696 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9589 2023/01/31 16:08:30 - mmengine - INFO - Epoch(train) [27][ 480/1879] lr: 7.9499e-02 eta: 2 days, 13:10:19 time: 0.5060 data_time: 0.0468 memory: 18108 grad_norm: 3.0677 loss: 4.8812 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8323 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 2.0489 2023/01/31 16:08:40 - mmengine - INFO - Epoch(train) [27][ 500/1879] lr: 7.9528e-02 eta: 2 days, 13:10:06 time: 0.4895 data_time: 0.0306 memory: 18108 grad_norm: 3.1120 loss: 4.8892 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.8010 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 2.0882 2023/01/31 16:08:50 - mmengine - INFO - Epoch(train) [27][ 520/1879] lr: 7.9556e-02 eta: 2 days, 13:09:53 time: 0.4958 data_time: 0.0369 memory: 18108 grad_norm: 3.1194 loss: 5.0391 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.0884 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9508 2023/01/31 16:09:06 - mmengine - INFO - Epoch(train) [27][ 540/1879] lr: 7.9584e-02 eta: 2 days, 13:10:34 time: 0.8062 data_time: 0.0360 memory: 18108 grad_norm: 3.1346 loss: 5.0089 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9845 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.0244 2023/01/31 16:09:16 - mmengine - INFO - Epoch(train) [27][ 560/1879] lr: 7.9612e-02 eta: 2 days, 13:10:20 time: 0.4886 data_time: 0.0377 memory: 18108 grad_norm: 3.0683 loss: 4.9737 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 3.0460 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.9276 2023/01/31 16:09:26 - mmengine - INFO - Epoch(train) [27][ 580/1879] lr: 7.9640e-02 eta: 2 days, 13:10:07 time: 0.4891 data_time: 0.0286 memory: 18108 grad_norm: 3.0807 loss: 4.4805 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.5046 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.9759 2023/01/31 16:09:36 - mmengine - INFO - Epoch(train) [27][ 600/1879] lr: 7.9668e-02 eta: 2 days, 13:09:54 time: 0.4972 data_time: 0.0434 memory: 18108 grad_norm: 3.0574 loss: 4.8253 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7554 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 2.0699 2023/01/31 16:09:46 - mmengine - INFO - Epoch(train) [27][ 620/1879] lr: 7.9697e-02 eta: 2 days, 13:09:42 time: 0.4978 data_time: 0.0282 memory: 18108 grad_norm: 3.0771 loss: 4.7812 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6850 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 2.0962 2023/01/31 16:09:56 - mmengine - INFO - Epoch(train) [27][ 640/1879] lr: 7.9725e-02 eta: 2 days, 13:09:29 time: 0.4982 data_time: 0.0377 memory: 18108 grad_norm: 3.0919 loss: 4.8449 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8542 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.9906 2023/01/31 16:10:06 - mmengine - INFO - Epoch(train) [27][ 660/1879] lr: 7.9753e-02 eta: 2 days, 13:09:16 time: 0.4923 data_time: 0.0300 memory: 18108 grad_norm: 3.1017 loss: 4.8192 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8195 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.9997 2023/01/31 16:10:16 - mmengine - INFO - Epoch(train) [27][ 680/1879] lr: 7.9781e-02 eta: 2 days, 13:09:08 time: 0.5225 data_time: 0.0433 memory: 18108 grad_norm: 3.0702 loss: 4.7766 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7991 top1_acc_1: 0.4706 top5_acc_1: 0.6941 loss_cls_1: 1.9775 2023/01/31 16:10:26 - mmengine - INFO - Epoch(train) [27][ 700/1879] lr: 7.9809e-02 eta: 2 days, 13:08:54 time: 0.4904 data_time: 0.0290 memory: 18108 grad_norm: 3.0945 loss: 4.8720 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 2.8388 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 2.0331 2023/01/31 16:10:36 - mmengine - INFO - Epoch(train) [27][ 720/1879] lr: 7.9838e-02 eta: 2 days, 13:08:44 time: 0.5087 data_time: 0.0347 memory: 18108 grad_norm: 3.0604 loss: 4.9201 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8448 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.0753 2023/01/31 16:10:46 - mmengine - INFO - Epoch(train) [27][ 740/1879] lr: 7.9866e-02 eta: 2 days, 13:08:32 time: 0.4993 data_time: 0.0359 memory: 18108 grad_norm: 3.1125 loss: 4.9952 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.9840 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 2.0112 2023/01/31 16:10:56 - mmengine - INFO - Epoch(train) [27][ 760/1879] lr: 7.9894e-02 eta: 2 days, 13:08:22 time: 0.5156 data_time: 0.0364 memory: 18108 grad_norm: 3.1026 loss: 4.8696 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8241 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0455 2023/01/31 16:11:06 - mmengine - INFO - Epoch(train) [27][ 780/1879] lr: 7.9922e-02 eta: 2 days, 13:08:09 time: 0.4937 data_time: 0.0290 memory: 18108 grad_norm: 3.1156 loss: 4.6190 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.6482 top1_acc_1: 0.5882 top5_acc_1: 0.7059 loss_cls_1: 1.9708 2023/01/31 16:11:16 - mmengine - INFO - Epoch(train) [27][ 800/1879] lr: 7.9950e-02 eta: 2 days, 13:07:58 time: 0.5030 data_time: 0.0440 memory: 18108 grad_norm: 3.0841 loss: 4.6737 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5871 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0866 2023/01/31 16:11:26 - mmengine - INFO - Epoch(train) [27][ 820/1879] lr: 7.9978e-02 eta: 2 days, 13:07:47 time: 0.5054 data_time: 0.0281 memory: 18108 grad_norm: 3.0705 loss: 4.9960 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 2.8769 top1_acc_1: 0.4000 top5_acc_1: 0.7765 loss_cls_1: 2.1191 2023/01/31 16:11:36 - mmengine - INFO - Epoch(train) [27][ 840/1879] lr: 8.0007e-02 eta: 2 days, 13:07:35 time: 0.5021 data_time: 0.0384 memory: 18108 grad_norm: 3.0594 loss: 4.9208 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8013 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.1195 2023/01/31 16:11:46 - mmengine - INFO - Epoch(train) [27][ 860/1879] lr: 8.0035e-02 eta: 2 days, 13:07:23 time: 0.4963 data_time: 0.0311 memory: 18108 grad_norm: 3.0463 loss: 4.7506 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7541 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9964 2023/01/31 16:11:56 - mmengine - INFO - Epoch(train) [27][ 880/1879] lr: 8.0063e-02 eta: 2 days, 13:07:08 time: 0.4836 data_time: 0.0364 memory: 18108 grad_norm: 3.1099 loss: 4.9081 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8057 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.1024 2023/01/31 16:12:06 - mmengine - INFO - Epoch(train) [27][ 900/1879] lr: 8.0091e-02 eta: 2 days, 13:06:57 time: 0.5075 data_time: 0.0286 memory: 18108 grad_norm: 3.1589 loss: 4.8079 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.8270 top1_acc_1: 0.4706 top5_acc_1: 0.6941 loss_cls_1: 1.9810 2023/01/31 16:12:16 - mmengine - INFO - Epoch(train) [27][ 920/1879] lr: 8.0119e-02 eta: 2 days, 13:06:46 time: 0.5063 data_time: 0.0386 memory: 18108 grad_norm: 3.1193 loss: 4.7833 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7004 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.0829 2023/01/31 16:12:26 - mmengine - INFO - Epoch(train) [27][ 940/1879] lr: 8.0147e-02 eta: 2 days, 13:06:35 time: 0.5042 data_time: 0.0307 memory: 18108 grad_norm: 3.1307 loss: 4.8872 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9450 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.9421 2023/01/31 16:12:37 - mmengine - INFO - Epoch(train) [27][ 960/1879] lr: 8.0176e-02 eta: 2 days, 13:06:25 time: 0.5122 data_time: 0.0383 memory: 18108 grad_norm: 3.0736 loss: 4.9245 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7990 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.1255 2023/01/31 16:12:47 - mmengine - INFO - Epoch(train) [27][ 980/1879] lr: 8.0204e-02 eta: 2 days, 13:06:16 time: 0.5170 data_time: 0.0297 memory: 18108 grad_norm: 3.0839 loss: 4.6964 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5519 top1_acc_1: 0.4353 top5_acc_1: 0.6471 loss_cls_1: 2.1445 2023/01/31 16:12:57 - mmengine - INFO - Epoch(train) [27][1000/1879] lr: 8.0232e-02 eta: 2 days, 13:06:05 time: 0.5050 data_time: 0.0438 memory: 18108 grad_norm: 3.0874 loss: 4.8107 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7831 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 2.0276 2023/01/31 16:13:07 - mmengine - INFO - Epoch(train) [27][1020/1879] lr: 8.0260e-02 eta: 2 days, 13:05:56 time: 0.5177 data_time: 0.0295 memory: 18108 grad_norm: 3.1370 loss: 4.7934 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7147 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 2.0787 2023/01/31 16:13:18 - mmengine - INFO - Epoch(train) [27][1040/1879] lr: 8.0288e-02 eta: 2 days, 13:05:46 time: 0.5092 data_time: 0.0370 memory: 18108 grad_norm: 3.1045 loss: 4.9091 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7821 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 2.1270 2023/01/31 16:13:28 - mmengine - INFO - Epoch(train) [27][1060/1879] lr: 8.0317e-02 eta: 2 days, 13:05:36 time: 0.5095 data_time: 0.0367 memory: 18108 grad_norm: 3.1525 loss: 4.9382 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8672 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 2.0710 2023/01/31 16:13:38 - mmengine - INFO - Epoch(train) [27][1080/1879] lr: 8.0345e-02 eta: 2 days, 13:05:24 time: 0.5000 data_time: 0.0398 memory: 18108 grad_norm: 3.0392 loss: 4.8404 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8402 top1_acc_1: 0.4824 top5_acc_1: 0.6824 loss_cls_1: 2.0001 2023/01/31 16:13:48 - mmengine - INFO - Epoch(train) [27][1100/1879] lr: 8.0373e-02 eta: 2 days, 13:05:13 time: 0.5092 data_time: 0.0284 memory: 18108 grad_norm: 3.1195 loss: 4.8344 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.7813 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 2.0531 2023/01/31 16:13:58 - mmengine - INFO - Epoch(train) [27][1120/1879] lr: 8.0401e-02 eta: 2 days, 13:05:03 time: 0.5075 data_time: 0.0357 memory: 18108 grad_norm: 3.0913 loss: 4.8444 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7520 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.0924 2023/01/31 16:14:08 - mmengine - INFO - Epoch(train) [27][1140/1879] lr: 8.0429e-02 eta: 2 days, 13:04:52 time: 0.5089 data_time: 0.0374 memory: 18108 grad_norm: 3.0739 loss: 4.7860 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7240 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 2.0620 2023/01/31 16:14:11 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 16:14:19 - mmengine - INFO - Epoch(train) [27][1160/1879] lr: 8.0457e-02 eta: 2 days, 13:04:43 time: 0.5138 data_time: 0.0362 memory: 18108 grad_norm: 3.0626 loss: 4.9923 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.9265 top1_acc_1: 0.5059 top5_acc_1: 0.6706 loss_cls_1: 2.0658 2023/01/31 16:14:29 - mmengine - INFO - Epoch(train) [27][1180/1879] lr: 8.0486e-02 eta: 2 days, 13:04:34 time: 0.5200 data_time: 0.0289 memory: 18108 grad_norm: 3.1384 loss: 4.8868 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8050 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0818 2023/01/31 16:14:39 - mmengine - INFO - Epoch(train) [27][1200/1879] lr: 8.0514e-02 eta: 2 days, 13:04:22 time: 0.4972 data_time: 0.0428 memory: 18108 grad_norm: 3.1183 loss: 4.6098 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5828 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 2.0270 2023/01/31 16:15:43 - mmengine - INFO - Epoch(train) [27][1220/1879] lr: 8.0542e-02 eta: 2 days, 13:11:54 time: 3.1965 data_time: 0.0284 memory: 18108 grad_norm: 3.0895 loss: 4.8169 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7288 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0881 2023/01/31 16:15:53 - mmengine - INFO - Epoch(train) [27][1240/1879] lr: 8.0570e-02 eta: 2 days, 13:11:44 time: 0.5166 data_time: 0.0363 memory: 18108 grad_norm: 3.1718 loss: 4.9558 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.9112 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 2.0447 2023/01/31 16:16:03 - mmengine - INFO - Epoch(train) [27][1260/1879] lr: 8.0598e-02 eta: 2 days, 13:11:34 time: 0.5114 data_time: 0.0349 memory: 18108 grad_norm: 3.1316 loss: 4.8505 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.6365 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 2.2141 2023/01/31 16:16:14 - mmengine - INFO - Epoch(train) [27][1280/1879] lr: 8.0626e-02 eta: 2 days, 13:11:24 time: 0.5080 data_time: 0.0350 memory: 18108 grad_norm: 3.0882 loss: 4.8973 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8191 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.0781 2023/01/31 16:16:24 - mmengine - INFO - Epoch(train) [27][1300/1879] lr: 8.0655e-02 eta: 2 days, 13:11:12 time: 0.5036 data_time: 0.0297 memory: 18108 grad_norm: 3.1219 loss: 4.9077 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8535 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 2.0542 2023/01/31 16:16:34 - mmengine - INFO - Epoch(train) [27][1320/1879] lr: 8.0683e-02 eta: 2 days, 13:11:02 time: 0.5152 data_time: 0.0424 memory: 18108 grad_norm: 3.1001 loss: 4.9421 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9034 top1_acc_1: 0.5059 top5_acc_1: 0.6941 loss_cls_1: 2.0387 2023/01/31 16:16:45 - mmengine - INFO - Epoch(train) [27][1340/1879] lr: 8.0711e-02 eta: 2 days, 13:10:55 time: 0.5257 data_time: 0.0291 memory: 18108 grad_norm: 3.0625 loss: 4.9559 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8152 top1_acc_1: 0.4588 top5_acc_1: 0.6824 loss_cls_1: 2.1407 2023/01/31 16:16:55 - mmengine - INFO - Epoch(train) [27][1360/1879] lr: 8.0739e-02 eta: 2 days, 13:10:43 time: 0.5037 data_time: 0.0374 memory: 18108 grad_norm: 3.0956 loss: 4.8728 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8163 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0565 2023/01/31 16:17:05 - mmengine - INFO - Epoch(train) [27][1380/1879] lr: 8.0767e-02 eta: 2 days, 13:10:32 time: 0.5078 data_time: 0.0284 memory: 18108 grad_norm: 3.0639 loss: 4.9374 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8808 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.0567 2023/01/31 16:17:15 - mmengine - INFO - Epoch(train) [27][1400/1879] lr: 8.0795e-02 eta: 2 days, 13:10:24 time: 0.5215 data_time: 0.0413 memory: 18108 grad_norm: 3.1581 loss: 5.1084 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9628 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.1457 2023/01/31 16:17:25 - mmengine - INFO - Epoch(train) [27][1420/1879] lr: 8.0824e-02 eta: 2 days, 13:10:12 time: 0.5020 data_time: 0.0296 memory: 18108 grad_norm: 3.0335 loss: 4.9658 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.9076 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 2.0582 2023/01/31 16:17:35 - mmengine - INFO - Epoch(train) [27][1440/1879] lr: 8.0852e-02 eta: 2 days, 13:10:00 time: 0.5014 data_time: 0.0347 memory: 18108 grad_norm: 3.0837 loss: 4.6341 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5888 top1_acc_1: 0.4471 top5_acc_1: 0.6941 loss_cls_1: 2.0453 2023/01/31 16:17:46 - mmengine - INFO - Epoch(train) [27][1460/1879] lr: 8.0880e-02 eta: 2 days, 13:09:50 time: 0.5140 data_time: 0.0327 memory: 18108 grad_norm: 3.1018 loss: 4.7874 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 2.8089 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.9785 2023/01/31 16:17:56 - mmengine - INFO - Epoch(train) [27][1480/1879] lr: 8.0908e-02 eta: 2 days, 13:09:40 time: 0.5131 data_time: 0.0363 memory: 18108 grad_norm: 3.0706 loss: 4.7954 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.7835 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 2.0119 2023/01/31 16:18:06 - mmengine - INFO - Epoch(train) [27][1500/1879] lr: 8.0936e-02 eta: 2 days, 13:09:29 time: 0.5024 data_time: 0.0294 memory: 18108 grad_norm: 3.0731 loss: 4.9836 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.9254 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 2.0582 2023/01/31 16:18:16 - mmengine - INFO - Epoch(train) [27][1520/1879] lr: 8.0965e-02 eta: 2 days, 13:09:21 time: 0.5245 data_time: 0.0437 memory: 18108 grad_norm: 3.0903 loss: 5.1701 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 3.1323 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.0378 2023/01/31 16:18:27 - mmengine - INFO - Epoch(train) [27][1540/1879] lr: 8.0993e-02 eta: 2 days, 13:09:12 time: 0.5170 data_time: 0.0290 memory: 18108 grad_norm: 3.0431 loss: 5.0399 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.0494 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9905 2023/01/31 16:18:37 - mmengine - INFO - Epoch(train) [27][1560/1879] lr: 8.1021e-02 eta: 2 days, 13:09:01 time: 0.5075 data_time: 0.0366 memory: 18108 grad_norm: 3.0749 loss: 4.8708 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8602 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0107 2023/01/31 16:18:47 - mmengine - INFO - Epoch(train) [27][1580/1879] lr: 8.1049e-02 eta: 2 days, 13:08:53 time: 0.5288 data_time: 0.0280 memory: 18108 grad_norm: 3.0699 loss: 4.8335 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8429 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 1.9906 2023/01/31 16:18:58 - mmengine - INFO - Epoch(train) [27][1600/1879] lr: 8.1077e-02 eta: 2 days, 13:08:43 time: 0.5079 data_time: 0.0372 memory: 18108 grad_norm: 3.0790 loss: 4.8400 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7719 top1_acc_1: 0.5176 top5_acc_1: 0.8706 loss_cls_1: 2.0681 2023/01/31 16:19:08 - mmengine - INFO - Epoch(train) [27][1620/1879] lr: 8.1105e-02 eta: 2 days, 13:08:34 time: 0.5203 data_time: 0.0284 memory: 18108 grad_norm: 3.1288 loss: 4.9684 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.9241 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.0442 2023/01/31 16:19:18 - mmengine - INFO - Epoch(train) [27][1640/1879] lr: 8.1134e-02 eta: 2 days, 13:08:23 time: 0.5048 data_time: 0.0380 memory: 18108 grad_norm: 3.0687 loss: 5.1265 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.9490 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 2.1775 2023/01/31 16:19:29 - mmengine - INFO - Epoch(train) [27][1660/1879] lr: 8.1162e-02 eta: 2 days, 13:08:15 time: 0.5241 data_time: 0.0280 memory: 18108 grad_norm: 3.0692 loss: 4.9485 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.8125 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 2.1360 2023/01/31 16:19:39 - mmengine - INFO - Epoch(train) [27][1680/1879] lr: 8.1190e-02 eta: 2 days, 13:08:05 time: 0.5174 data_time: 0.0382 memory: 18108 grad_norm: 3.0730 loss: 4.9245 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8144 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 2.1101 2023/01/31 16:19:49 - mmengine - INFO - Epoch(train) [27][1700/1879] lr: 8.1218e-02 eta: 2 days, 13:07:55 time: 0.5073 data_time: 0.0327 memory: 18108 grad_norm: 3.0003 loss: 4.9351 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7836 top1_acc_1: 0.4941 top5_acc_1: 0.8118 loss_cls_1: 2.1514 2023/01/31 16:20:00 - mmengine - INFO - Epoch(train) [27][1720/1879] lr: 8.1246e-02 eta: 2 days, 13:07:47 time: 0.5274 data_time: 0.0430 memory: 18108 grad_norm: 3.1142 loss: 4.9600 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8544 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 2.1056 2023/01/31 16:20:10 - mmengine - INFO - Epoch(train) [27][1740/1879] lr: 8.1274e-02 eta: 2 days, 13:07:37 time: 0.5137 data_time: 0.0302 memory: 18108 grad_norm: 3.0963 loss: 4.8320 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7637 top1_acc_1: 0.4706 top5_acc_1: 0.8118 loss_cls_1: 2.0682 2023/01/31 16:20:20 - mmengine - INFO - Epoch(train) [27][1760/1879] lr: 8.1303e-02 eta: 2 days, 13:07:29 time: 0.5246 data_time: 0.0342 memory: 18108 grad_norm: 3.0683 loss: 4.7899 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7524 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 2.0375 2023/01/31 16:20:31 - mmengine - INFO - Epoch(train) [27][1780/1879] lr: 8.1331e-02 eta: 2 days, 13:07:20 time: 0.5189 data_time: 0.0351 memory: 18108 grad_norm: 3.0903 loss: 4.7781 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6354 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.1427 2023/01/31 16:20:41 - mmengine - INFO - Epoch(train) [27][1800/1879] lr: 8.1359e-02 eta: 2 days, 13:07:11 time: 0.5155 data_time: 0.0373 memory: 18108 grad_norm: 3.0275 loss: 4.9167 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7873 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.1295 2023/01/31 16:20:51 - mmengine - INFO - Epoch(train) [27][1820/1879] lr: 8.1387e-02 eta: 2 days, 13:07:02 time: 0.5168 data_time: 0.0300 memory: 18108 grad_norm: 3.0746 loss: 4.8568 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7523 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 2.1045 2023/01/31 16:21:02 - mmengine - INFO - Epoch(train) [27][1840/1879] lr: 8.1415e-02 eta: 2 days, 13:06:51 time: 0.5100 data_time: 0.0367 memory: 18108 grad_norm: 3.0411 loss: 5.0319 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9312 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.1007 2023/01/31 16:21:12 - mmengine - INFO - Epoch(train) [27][1860/1879] lr: 8.1444e-02 eta: 2 days, 13:06:45 time: 0.5327 data_time: 0.0358 memory: 18108 grad_norm: 3.1179 loss: 5.0896 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.9328 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.1569 2023/01/31 16:21:21 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 16:21:21 - mmengine - INFO - Epoch(train) [27][1879/1879] lr: 8.1470e-02 eta: 2 days, 13:06:30 time: 0.4858 data_time: 0.0278 memory: 18108 grad_norm: 3.0928 loss: 4.8502 top1_acc_0: 0.2857 top5_acc_0: 0.4286 loss_cls_0: 2.7935 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.0567 2023/01/31 16:21:36 - mmengine - INFO - Epoch(train) [28][ 20/1879] lr: 8.1498e-02 eta: 2 days, 13:06:54 time: 0.7089 data_time: 0.2620 memory: 18108 grad_norm: 3.0305 loss: 4.7056 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.7165 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9890 2023/01/31 16:21:46 - mmengine - INFO - Epoch(train) [28][ 40/1879] lr: 8.1527e-02 eta: 2 days, 13:06:39 time: 0.4867 data_time: 0.0318 memory: 18108 grad_norm: 3.0313 loss: 4.5233 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.5763 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 1.9471 2023/01/31 16:21:56 - mmengine - INFO - Epoch(train) [28][ 60/1879] lr: 8.1555e-02 eta: 2 days, 13:06:26 time: 0.4923 data_time: 0.0346 memory: 18108 grad_norm: 2.9888 loss: 4.7825 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7333 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 2.0492 2023/01/31 16:22:07 - mmengine - INFO - Epoch(train) [28][ 80/1879] lr: 8.1583e-02 eta: 2 days, 13:06:19 time: 0.5326 data_time: 0.0403 memory: 18108 grad_norm: 3.0908 loss: 4.6707 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7266 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.9440 2023/01/31 16:22:16 - mmengine - INFO - Epoch(train) [28][ 100/1879] lr: 8.1611e-02 eta: 2 days, 13:06:04 time: 0.4843 data_time: 0.0352 memory: 18108 grad_norm: 2.9968 loss: 4.5459 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5853 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9606 2023/01/31 16:22:26 - mmengine - INFO - Epoch(train) [28][ 120/1879] lr: 8.1639e-02 eta: 2 days, 13:05:50 time: 0.4887 data_time: 0.0318 memory: 18108 grad_norm: 3.0634 loss: 4.8724 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8414 top1_acc_1: 0.4353 top5_acc_1: 0.7412 loss_cls_1: 2.0310 2023/01/31 16:22:36 - mmengine - INFO - Epoch(train) [28][ 140/1879] lr: 8.1668e-02 eta: 2 days, 13:05:41 time: 0.5164 data_time: 0.0351 memory: 18108 grad_norm: 3.1043 loss: 4.8264 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8316 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.9948 2023/01/31 16:22:47 - mmengine - INFO - Epoch(train) [28][ 160/1879] lr: 8.1696e-02 eta: 2 days, 13:05:31 time: 0.5128 data_time: 0.0328 memory: 18108 grad_norm: 3.0654 loss: 4.7061 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8139 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.8922 2023/01/31 16:22:57 - mmengine - INFO - Epoch(train) [28][ 180/1879] lr: 8.1724e-02 eta: 2 days, 13:05:18 time: 0.4965 data_time: 0.0356 memory: 18108 grad_norm: 3.1066 loss: 4.7463 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7817 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9646 2023/01/31 16:23:07 - mmengine - INFO - Epoch(train) [28][ 200/1879] lr: 8.1752e-02 eta: 2 days, 13:05:08 time: 0.5124 data_time: 0.0336 memory: 18108 grad_norm: 3.0891 loss: 5.0182 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.9917 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 2.0265 2023/01/31 16:23:17 - mmengine - INFO - Epoch(train) [28][ 220/1879] lr: 8.1780e-02 eta: 2 days, 13:04:58 time: 0.5105 data_time: 0.0434 memory: 18108 grad_norm: 3.0542 loss: 4.9639 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.9369 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 2.0270 2023/01/31 16:23:27 - mmengine - INFO - Epoch(train) [28][ 240/1879] lr: 8.1808e-02 eta: 2 days, 13:04:48 time: 0.5129 data_time: 0.0293 memory: 18108 grad_norm: 3.0650 loss: 4.7376 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.6812 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 2.0564 2023/01/31 16:23:38 - mmengine - INFO - Epoch(train) [28][ 260/1879] lr: 8.1837e-02 eta: 2 days, 13:04:39 time: 0.5174 data_time: 0.0368 memory: 18108 grad_norm: 3.0788 loss: 4.8469 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8666 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.9803 2023/01/31 16:23:42 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 16:23:48 - mmengine - INFO - Epoch(train) [28][ 280/1879] lr: 8.1865e-02 eta: 2 days, 13:04:29 time: 0.5152 data_time: 0.0302 memory: 18108 grad_norm: 3.1232 loss: 4.8187 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7688 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 2.0499 2023/01/31 16:23:58 - mmengine - INFO - Epoch(train) [28][ 300/1879] lr: 8.1893e-02 eta: 2 days, 13:04:20 time: 0.5205 data_time: 0.0425 memory: 18108 grad_norm: 3.0605 loss: 4.6500 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6531 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.9969 2023/01/31 16:24:09 - mmengine - INFO - Epoch(train) [28][ 320/1879] lr: 8.1921e-02 eta: 2 days, 13:04:10 time: 0.5101 data_time: 0.0305 memory: 18108 grad_norm: 3.1279 loss: 4.7472 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7270 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 2.0202 2023/01/31 16:24:19 - mmengine - INFO - Epoch(train) [28][ 340/1879] lr: 8.1949e-02 eta: 2 days, 13:04:02 time: 0.5220 data_time: 0.0341 memory: 18108 grad_norm: 3.0653 loss: 4.4768 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.5566 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.9202 2023/01/31 16:24:29 - mmengine - INFO - Epoch(train) [28][ 360/1879] lr: 8.1977e-02 eta: 2 days, 13:03:51 time: 0.5073 data_time: 0.0382 memory: 18108 grad_norm: 3.0863 loss: 5.0019 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 2.9367 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0652 2023/01/31 16:24:39 - mmengine - INFO - Epoch(train) [28][ 380/1879] lr: 8.2006e-02 eta: 2 days, 13:03:40 time: 0.5097 data_time: 0.0358 memory: 18108 grad_norm: 3.0485 loss: 4.9651 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.9055 top1_acc_1: 0.4706 top5_acc_1: 0.7059 loss_cls_1: 2.0596 2023/01/31 16:24:50 - mmengine - INFO - Epoch(train) [28][ 400/1879] lr: 8.2034e-02 eta: 2 days, 13:03:30 time: 0.5117 data_time: 0.0354 memory: 18108 grad_norm: 3.0938 loss: 4.8185 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7555 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 2.0630 2023/01/31 16:25:00 - mmengine - INFO - Epoch(train) [28][ 420/1879] lr: 8.2062e-02 eta: 2 days, 13:03:18 time: 0.5033 data_time: 0.0324 memory: 18108 grad_norm: 3.0391 loss: 5.0741 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.9257 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.1484 2023/01/31 16:25:10 - mmengine - INFO - Epoch(train) [28][ 440/1879] lr: 8.2090e-02 eta: 2 days, 13:03:07 time: 0.5041 data_time: 0.0409 memory: 18108 grad_norm: 3.0663 loss: 4.6236 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6783 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9453 2023/01/31 16:25:20 - mmengine - INFO - Epoch(train) [28][ 460/1879] lr: 8.2118e-02 eta: 2 days, 13:02:57 time: 0.5147 data_time: 0.0299 memory: 18108 grad_norm: 3.0537 loss: 4.7104 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6966 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.0138 2023/01/31 16:25:30 - mmengine - INFO - Epoch(train) [28][ 480/1879] lr: 8.2147e-02 eta: 2 days, 13:02:48 time: 0.5168 data_time: 0.0349 memory: 18108 grad_norm: 3.1195 loss: 4.9629 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9343 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 2.0285 2023/01/31 16:25:41 - mmengine - INFO - Epoch(train) [28][ 500/1879] lr: 8.2175e-02 eta: 2 days, 13:02:40 time: 0.5237 data_time: 0.0345 memory: 18108 grad_norm: 3.0974 loss: 4.9562 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9118 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.0444 2023/01/31 16:25:51 - mmengine - INFO - Epoch(train) [28][ 520/1879] lr: 8.2203e-02 eta: 2 days, 13:02:32 time: 0.5259 data_time: 0.0362 memory: 18108 grad_norm: 3.0580 loss: 4.9874 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9596 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 2.0278 2023/01/31 16:26:02 - mmengine - INFO - Epoch(train) [28][ 540/1879] lr: 8.2231e-02 eta: 2 days, 13:02:28 time: 0.5463 data_time: 0.0291 memory: 18108 grad_norm: 3.0806 loss: 4.6453 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6581 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9872 2023/01/31 16:26:13 - mmengine - INFO - Epoch(train) [28][ 560/1879] lr: 8.2259e-02 eta: 2 days, 13:02:19 time: 0.5198 data_time: 0.0409 memory: 18108 grad_norm: 3.1212 loss: 5.1489 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.0230 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.1259 2023/01/31 16:26:23 - mmengine - INFO - Epoch(train) [28][ 580/1879] lr: 8.2287e-02 eta: 2 days, 13:02:10 time: 0.5177 data_time: 0.0284 memory: 18108 grad_norm: 3.0558 loss: 4.8456 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8276 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 2.0180 2023/01/31 16:26:34 - mmengine - INFO - Epoch(train) [28][ 600/1879] lr: 8.2316e-02 eta: 2 days, 13:02:07 time: 0.5547 data_time: 0.0367 memory: 18108 grad_norm: 3.0443 loss: 4.8698 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8883 top1_acc_1: 0.5647 top5_acc_1: 0.6941 loss_cls_1: 1.9815 2023/01/31 16:26:44 - mmengine - INFO - Epoch(train) [28][ 620/1879] lr: 8.2344e-02 eta: 2 days, 13:01:56 time: 0.5104 data_time: 0.0303 memory: 18108 grad_norm: 3.0600 loss: 4.7654 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7232 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 2.0422 2023/01/31 16:26:55 - mmengine - INFO - Epoch(train) [28][ 640/1879] lr: 8.2372e-02 eta: 2 days, 13:01:47 time: 0.5155 data_time: 0.0412 memory: 18108 grad_norm: 3.0524 loss: 4.9870 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8675 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 2.1195 2023/01/31 16:27:05 - mmengine - INFO - Epoch(train) [28][ 660/1879] lr: 8.2400e-02 eta: 2 days, 13:01:39 time: 0.5234 data_time: 0.0286 memory: 18108 grad_norm: 3.0944 loss: 4.8494 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.7616 top1_acc_1: 0.4706 top5_acc_1: 0.7059 loss_cls_1: 2.0878 2023/01/31 16:27:16 - mmengine - INFO - Epoch(train) [28][ 680/1879] lr: 8.2428e-02 eta: 2 days, 13:01:31 time: 0.5271 data_time: 0.0365 memory: 18108 grad_norm: 3.0282 loss: 4.7017 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 2.6881 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 2.0136 2023/01/31 16:27:26 - mmengine - INFO - Epoch(train) [28][ 700/1879] lr: 8.2456e-02 eta: 2 days, 13:01:20 time: 0.5060 data_time: 0.0365 memory: 18108 grad_norm: 3.1217 loss: 4.8145 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.7715 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 2.0430 2023/01/31 16:27:36 - mmengine - INFO - Epoch(train) [28][ 720/1879] lr: 8.2485e-02 eta: 2 days, 13:01:09 time: 0.5041 data_time: 0.0365 memory: 18108 grad_norm: 3.0867 loss: 4.7515 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7396 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0119 2023/01/31 16:27:47 - mmengine - INFO - Epoch(train) [28][ 740/1879] lr: 8.2513e-02 eta: 2 days, 13:01:01 time: 0.5304 data_time: 0.0294 memory: 18108 grad_norm: 3.1016 loss: 5.0430 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 3.0039 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.0391 2023/01/31 16:27:57 - mmengine - INFO - Epoch(train) [28][ 760/1879] lr: 8.2541e-02 eta: 2 days, 13:00:52 time: 0.5154 data_time: 0.0364 memory: 18108 grad_norm: 3.0567 loss: 4.8487 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8001 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0486 2023/01/31 16:28:07 - mmengine - INFO - Epoch(train) [28][ 780/1879] lr: 8.2569e-02 eta: 2 days, 13:00:40 time: 0.4987 data_time: 0.0315 memory: 18108 grad_norm: 3.0333 loss: 4.9454 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9405 top1_acc_1: 0.6000 top5_acc_1: 0.7294 loss_cls_1: 2.0049 2023/01/31 16:28:17 - mmengine - INFO - Epoch(train) [28][ 800/1879] lr: 8.2597e-02 eta: 2 days, 13:00:31 time: 0.5206 data_time: 0.0349 memory: 18108 grad_norm: 3.1052 loss: 4.9005 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.8359 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 2.0647 2023/01/31 16:28:28 - mmengine - INFO - Epoch(train) [28][ 820/1879] lr: 8.2625e-02 eta: 2 days, 13:00:21 time: 0.5156 data_time: 0.0345 memory: 18108 grad_norm: 3.1111 loss: 4.9747 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.8933 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 2.0814 2023/01/31 16:28:38 - mmengine - INFO - Epoch(train) [28][ 840/1879] lr: 8.2654e-02 eta: 2 days, 13:00:11 time: 0.5084 data_time: 0.0367 memory: 18108 grad_norm: 3.0691 loss: 4.8457 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7956 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0500 2023/01/31 16:28:48 - mmengine - INFO - Epoch(train) [28][ 860/1879] lr: 8.2682e-02 eta: 2 days, 13:00:02 time: 0.5195 data_time: 0.0290 memory: 18108 grad_norm: 3.0501 loss: 4.8500 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8962 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9539 2023/01/31 16:28:59 - mmengine - INFO - Epoch(train) [28][ 880/1879] lr: 8.2710e-02 eta: 2 days, 12:59:54 time: 0.5264 data_time: 0.0411 memory: 18108 grad_norm: 3.0687 loss: 4.6412 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6731 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.9681 2023/01/31 16:29:09 - mmengine - INFO - Epoch(train) [28][ 900/1879] lr: 8.2738e-02 eta: 2 days, 12:59:42 time: 0.5033 data_time: 0.0306 memory: 18108 grad_norm: 3.0973 loss: 4.9223 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8670 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 2.0553 2023/01/31 16:29:19 - mmengine - INFO - Epoch(train) [28][ 920/1879] lr: 8.2766e-02 eta: 2 days, 12:59:35 time: 0.5254 data_time: 0.0363 memory: 18108 grad_norm: 3.0398 loss: 4.7348 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.7788 top1_acc_1: 0.5412 top5_acc_1: 0.8471 loss_cls_1: 1.9560 2023/01/31 16:29:30 - mmengine - INFO - Epoch(train) [28][ 940/1879] lr: 8.2795e-02 eta: 2 days, 12:59:24 time: 0.5109 data_time: 0.0286 memory: 18108 grad_norm: 3.0969 loss: 4.7717 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7876 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.9841 2023/01/31 16:29:40 - mmengine - INFO - Epoch(train) [28][ 960/1879] lr: 8.2823e-02 eta: 2 days, 12:59:14 time: 0.5126 data_time: 0.0442 memory: 18108 grad_norm: 3.1075 loss: 4.7636 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7198 top1_acc_1: 0.4824 top5_acc_1: 0.8118 loss_cls_1: 2.0438 2023/01/31 16:29:50 - mmengine - INFO - Epoch(train) [28][ 980/1879] lr: 8.2851e-02 eta: 2 days, 12:59:04 time: 0.5138 data_time: 0.0285 memory: 18108 grad_norm: 3.0385 loss: 5.0360 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.9850 top1_acc_1: 0.4000 top5_acc_1: 0.7412 loss_cls_1: 2.0510 2023/01/31 16:30:01 - mmengine - INFO - Epoch(train) [28][1000/1879] lr: 8.2879e-02 eta: 2 days, 12:58:57 time: 0.5303 data_time: 0.0366 memory: 18108 grad_norm: 3.0140 loss: 4.8097 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7304 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 2.0793 2023/01/31 16:30:11 - mmengine - INFO - Epoch(train) [28][1020/1879] lr: 8.2907e-02 eta: 2 days, 12:58:47 time: 0.5096 data_time: 0.0285 memory: 18108 grad_norm: 3.0728 loss: 4.9632 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8916 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.0715 2023/01/31 16:30:21 - mmengine - INFO - Epoch(train) [28][1040/1879] lr: 8.2935e-02 eta: 2 days, 12:58:38 time: 0.5222 data_time: 0.0365 memory: 18108 grad_norm: 3.0754 loss: 4.6978 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6443 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 2.0535 2023/01/31 16:30:32 - mmengine - INFO - Epoch(train) [28][1060/1879] lr: 8.2964e-02 eta: 2 days, 12:58:28 time: 0.5127 data_time: 0.0293 memory: 18108 grad_norm: 3.0865 loss: 5.0310 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8708 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 2.1601 2023/01/31 16:30:42 - mmengine - INFO - Epoch(train) [28][1080/1879] lr: 8.2992e-02 eta: 2 days, 12:58:18 time: 0.5104 data_time: 0.0354 memory: 18108 grad_norm: 3.0890 loss: 4.7470 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7606 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 1.9864 2023/01/31 16:30:53 - mmengine - INFO - Epoch(train) [28][1100/1879] lr: 8.3020e-02 eta: 2 days, 12:58:12 time: 0.5355 data_time: 0.0370 memory: 18108 grad_norm: 3.0342 loss: 4.7083 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6477 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0606 2023/01/31 16:31:03 - mmengine - INFO - Epoch(train) [28][1120/1879] lr: 8.3048e-02 eta: 2 days, 12:58:02 time: 0.5139 data_time: 0.0362 memory: 18108 grad_norm: 3.0626 loss: 4.9965 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.9219 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.0746 2023/01/31 16:31:13 - mmengine - INFO - Epoch(train) [28][1140/1879] lr: 8.3076e-02 eta: 2 days, 12:57:51 time: 0.5099 data_time: 0.0352 memory: 18108 grad_norm: 3.0593 loss: 4.8470 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.7913 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.0557 2023/01/31 16:31:23 - mmengine - INFO - Epoch(train) [28][1160/1879] lr: 8.3104e-02 eta: 2 days, 12:57:41 time: 0.5080 data_time: 0.0455 memory: 18108 grad_norm: 3.0988 loss: 5.0376 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.0011 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 2.0364 2023/01/31 16:31:33 - mmengine - INFO - Epoch(train) [28][1180/1879] lr: 8.3133e-02 eta: 2 days, 12:57:29 time: 0.5038 data_time: 0.0343 memory: 18108 grad_norm: 3.0931 loss: 4.7908 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.7070 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 2.0839 2023/01/31 16:31:43 - mmengine - INFO - Epoch(train) [28][1200/1879] lr: 8.3161e-02 eta: 2 days, 12:57:16 time: 0.4956 data_time: 0.0334 memory: 18108 grad_norm: 3.0932 loss: 5.0449 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9790 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.0659 2023/01/31 16:31:53 - mmengine - INFO - Epoch(train) [28][1220/1879] lr: 8.3189e-02 eta: 2 days, 12:57:07 time: 0.5145 data_time: 0.0407 memory: 18108 grad_norm: 3.0639 loss: 4.9257 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7701 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 2.1557 2023/01/31 16:32:04 - mmengine - INFO - Epoch(train) [28][1240/1879] lr: 8.3217e-02 eta: 2 days, 12:56:56 time: 0.5089 data_time: 0.0340 memory: 18108 grad_norm: 3.0725 loss: 5.0619 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9763 top1_acc_1: 0.5765 top5_acc_1: 0.7294 loss_cls_1: 2.0855 2023/01/31 16:32:13 - mmengine - INFO - Epoch(train) [28][1260/1879] lr: 8.3245e-02 eta: 2 days, 12:56:42 time: 0.4895 data_time: 0.0359 memory: 18108 grad_norm: 3.0749 loss: 4.8563 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7723 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 2.0840 2023/01/31 16:32:17 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 16:32:24 - mmengine - INFO - Epoch(train) [28][1280/1879] lr: 8.3274e-02 eta: 2 days, 12:56:34 time: 0.5228 data_time: 0.0408 memory: 18108 grad_norm: 3.0291 loss: 4.7333 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6434 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 2.0899 2023/01/31 16:32:34 - mmengine - INFO - Epoch(train) [28][1300/1879] lr: 8.3302e-02 eta: 2 days, 12:56:21 time: 0.4931 data_time: 0.0337 memory: 18108 grad_norm: 3.0906 loss: 4.9328 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8981 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0346 2023/01/31 16:32:44 - mmengine - INFO - Epoch(train) [28][1320/1879] lr: 8.3330e-02 eta: 2 days, 12:56:10 time: 0.5082 data_time: 0.0347 memory: 18108 grad_norm: 3.0826 loss: 5.1657 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.0029 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 2.1628 2023/01/31 16:32:54 - mmengine - INFO - Epoch(train) [28][1340/1879] lr: 8.3358e-02 eta: 2 days, 12:55:57 time: 0.4979 data_time: 0.0347 memory: 18108 grad_norm: 3.0697 loss: 4.8677 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7923 top1_acc_1: 0.4824 top5_acc_1: 0.7882 loss_cls_1: 2.0753 2023/01/31 16:33:04 - mmengine - INFO - Epoch(train) [28][1360/1879] lr: 8.3386e-02 eta: 2 days, 12:55:48 time: 0.5154 data_time: 0.0416 memory: 18108 grad_norm: 3.0676 loss: 4.8413 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7664 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 2.0748 2023/01/31 16:33:14 - mmengine - INFO - Epoch(train) [28][1380/1879] lr: 8.3414e-02 eta: 2 days, 12:55:36 time: 0.5047 data_time: 0.0344 memory: 18108 grad_norm: 3.1168 loss: 5.0379 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9604 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 2.0775 2023/01/31 16:33:24 - mmengine - INFO - Epoch(train) [28][1400/1879] lr: 8.3443e-02 eta: 2 days, 12:55:24 time: 0.4975 data_time: 0.0374 memory: 18108 grad_norm: 3.0315 loss: 5.0705 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8512 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.2193 2023/01/31 16:33:34 - mmengine - INFO - Epoch(train) [28][1420/1879] lr: 8.3471e-02 eta: 2 days, 12:55:13 time: 0.5094 data_time: 0.0326 memory: 18108 grad_norm: 3.0167 loss: 4.7917 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.7334 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.0582 2023/01/31 16:33:45 - mmengine - INFO - Epoch(train) [28][1440/1879] lr: 8.3499e-02 eta: 2 days, 12:55:04 time: 0.5145 data_time: 0.0345 memory: 18108 grad_norm: 3.0813 loss: 4.8026 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7637 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 2.0389 2023/01/31 16:33:55 - mmengine - INFO - Epoch(train) [28][1460/1879] lr: 8.3527e-02 eta: 2 days, 12:54:50 time: 0.4911 data_time: 0.0334 memory: 18108 grad_norm: 3.1054 loss: 4.8705 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8081 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 2.0623 2023/01/31 16:34:05 - mmengine - INFO - Epoch(train) [28][1480/1879] lr: 8.3555e-02 eta: 2 days, 12:54:40 time: 0.5132 data_time: 0.0359 memory: 18108 grad_norm: 3.0534 loss: 4.7565 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7109 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.0456 2023/01/31 16:34:15 - mmengine - INFO - Epoch(train) [28][1500/1879] lr: 8.3583e-02 eta: 2 days, 12:54:31 time: 0.5174 data_time: 0.0408 memory: 18108 grad_norm: 3.0310 loss: 5.2369 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.1540 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 2.0829 2023/01/31 16:34:25 - mmengine - INFO - Epoch(train) [28][1520/1879] lr: 8.3612e-02 eta: 2 days, 12:54:18 time: 0.4936 data_time: 0.0325 memory: 18108 grad_norm: 3.0856 loss: 4.9236 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8144 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 2.1092 2023/01/31 16:34:35 - mmengine - INFO - Epoch(train) [28][1540/1879] lr: 8.3640e-02 eta: 2 days, 12:54:05 time: 0.4935 data_time: 0.0357 memory: 18108 grad_norm: 3.0552 loss: 5.0569 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.9899 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 2.0670 2023/01/31 16:34:46 - mmengine - INFO - Epoch(train) [28][1560/1879] lr: 8.3668e-02 eta: 2 days, 12:53:57 time: 0.5271 data_time: 0.0397 memory: 18108 grad_norm: 3.0452 loss: 4.8573 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7543 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.1030 2023/01/31 16:34:55 - mmengine - INFO - Epoch(train) [28][1580/1879] lr: 8.3696e-02 eta: 2 days, 12:53:44 time: 0.4919 data_time: 0.0327 memory: 18108 grad_norm: 3.0392 loss: 5.0320 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9799 top1_acc_1: 0.4353 top5_acc_1: 0.7412 loss_cls_1: 2.0521 2023/01/31 16:35:05 - mmengine - INFO - Epoch(train) [28][1600/1879] lr: 8.3724e-02 eta: 2 days, 12:53:32 time: 0.5029 data_time: 0.0340 memory: 18108 grad_norm: 3.0800 loss: 4.8951 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.8516 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 2.0436 2023/01/31 16:35:16 - mmengine - INFO - Epoch(train) [28][1620/1879] lr: 8.3753e-02 eta: 2 days, 12:53:21 time: 0.5094 data_time: 0.0340 memory: 18108 grad_norm: 3.0629 loss: 4.7083 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7096 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.9987 2023/01/31 16:35:26 - mmengine - INFO - Epoch(train) [28][1640/1879] lr: 8.3781e-02 eta: 2 days, 12:53:12 time: 0.5139 data_time: 0.0337 memory: 18108 grad_norm: 2.9950 loss: 4.9343 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 2.9144 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0199 2023/01/31 16:35:36 - mmengine - INFO - Epoch(train) [28][1660/1879] lr: 8.3809e-02 eta: 2 days, 12:52:59 time: 0.4989 data_time: 0.0355 memory: 18108 grad_norm: 3.0372 loss: 4.8897 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.7781 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 2.1115 2023/01/31 16:35:46 - mmengine - INFO - Epoch(train) [28][1680/1879] lr: 8.3837e-02 eta: 2 days, 12:52:49 time: 0.5082 data_time: 0.0355 memory: 18108 grad_norm: 3.0007 loss: 4.7724 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8358 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.9366 2023/01/31 16:35:57 - mmengine - INFO - Epoch(train) [28][1700/1879] lr: 8.3865e-02 eta: 2 days, 12:52:41 time: 0.5298 data_time: 0.0390 memory: 18108 grad_norm: 3.0284 loss: 4.8814 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8763 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 2.0051 2023/01/31 16:36:07 - mmengine - INFO - Epoch(train) [28][1720/1879] lr: 8.3893e-02 eta: 2 days, 12:52:31 time: 0.5089 data_time: 0.0344 memory: 18108 grad_norm: 3.0184 loss: 4.7951 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7603 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 2.0348 2023/01/31 16:36:17 - mmengine - INFO - Epoch(train) [28][1740/1879] lr: 8.3922e-02 eta: 2 days, 12:52:22 time: 0.5221 data_time: 0.0351 memory: 18108 grad_norm: 3.0424 loss: 4.9719 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8184 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 2.1535 2023/01/31 16:36:28 - mmengine - INFO - Epoch(train) [28][1760/1879] lr: 8.3950e-02 eta: 2 days, 12:52:15 time: 0.5307 data_time: 0.0324 memory: 18108 grad_norm: 3.0855 loss: 4.8921 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8299 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 2.0622 2023/01/31 16:36:38 - mmengine - INFO - Epoch(train) [28][1780/1879] lr: 8.3978e-02 eta: 2 days, 12:52:06 time: 0.5149 data_time: 0.0319 memory: 18108 grad_norm: 3.1024 loss: 4.8855 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7649 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.1206 2023/01/31 16:36:48 - mmengine - INFO - Epoch(train) [28][1800/1879] lr: 8.4006e-02 eta: 2 days, 12:51:54 time: 0.5056 data_time: 0.0337 memory: 18108 grad_norm: 3.0628 loss: 5.0057 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.9578 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.0480 2023/01/31 16:36:59 - mmengine - INFO - Epoch(train) [28][1820/1879] lr: 8.4034e-02 eta: 2 days, 12:51:47 time: 0.5301 data_time: 0.0399 memory: 18108 grad_norm: 2.9819 loss: 4.8910 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8121 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 2.0789 2023/01/31 16:37:10 - mmengine - INFO - Epoch(train) [28][1840/1879] lr: 8.4062e-02 eta: 2 days, 12:51:41 time: 0.5362 data_time: 0.0354 memory: 18108 grad_norm: 3.0529 loss: 4.6086 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5590 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.0495 2023/01/31 16:37:20 - mmengine - INFO - Epoch(train) [28][1860/1879] lr: 8.4091e-02 eta: 2 days, 12:51:32 time: 0.5160 data_time: 0.0348 memory: 18108 grad_norm: 2.9923 loss: 4.7619 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6859 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.0760 2023/01/31 16:37:29 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 16:37:29 - mmengine - INFO - Epoch(train) [28][1879/1879] lr: 8.4117e-02 eta: 2 days, 12:51:20 time: 0.5014 data_time: 0.0350 memory: 18108 grad_norm: 3.1561 loss: 4.8128 top1_acc_0: 0.5714 top5_acc_0: 1.0000 loss_cls_0: 2.7133 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.0996 2023/01/31 16:37:30 - mmengine - INFO - Saving checkpoint at 28 epochs 2023/01/31 16:37:41 - mmengine - INFO - Epoch(val) [28][ 20/155] eta: 0:01:02 time: 0.4625 data_time: 0.3497 memory: 1906 2023/01/31 16:37:49 - mmengine - INFO - Epoch(val) [28][ 40/155] eta: 0:00:51 time: 0.4393 data_time: 0.3280 memory: 1906 2023/01/31 16:37:58 - mmengine - INFO - Epoch(val) [28][ 60/155] eta: 0:00:42 time: 0.4267 data_time: 0.3159 memory: 1906 2023/01/31 16:38:07 - mmengine - INFO - Epoch(val) [28][ 80/155] eta: 0:00:33 time: 0.4620 data_time: 0.3513 memory: 1906 2023/01/31 16:38:16 - mmengine - INFO - Epoch(val) [28][100/155] eta: 0:00:24 time: 0.4486 data_time: 0.3380 memory: 1906 2023/01/31 16:38:25 - mmengine - INFO - Epoch(val) [28][120/155] eta: 0:00:15 time: 0.4626 data_time: 0.3520 memory: 1906 2023/01/31 16:38:34 - mmengine - INFO - Epoch(val) [28][140/155] eta: 0:00:06 time: 0.4381 data_time: 0.3281 memory: 1906 2023/01/31 16:38:42 - mmengine - INFO - Epoch(val) [28][155/155] acc/top1: 0.4174 acc/top5: 0.6812 acc/mean1: 0.4173 2023/01/31 16:38:56 - mmengine - INFO - Epoch(train) [29][ 20/1879] lr: 8.4146e-02 eta: 2 days, 12:51:43 time: 0.7163 data_time: 0.2664 memory: 18108 grad_norm: 3.0145 loss: 4.8045 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7833 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 2.0212 2023/01/31 16:39:06 - mmengine - INFO - Epoch(train) [29][ 40/1879] lr: 8.4174e-02 eta: 2 days, 12:51:26 time: 0.4698 data_time: 0.0346 memory: 18108 grad_norm: 2.9790 loss: 4.9109 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.9385 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.9725 2023/01/31 16:39:15 - mmengine - INFO - Epoch(train) [29][ 60/1879] lr: 8.4202e-02 eta: 2 days, 12:51:11 time: 0.4819 data_time: 0.0361 memory: 18108 grad_norm: 3.0729 loss: 4.5847 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6839 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.9008 2023/01/31 16:39:26 - mmengine - INFO - Epoch(train) [29][ 80/1879] lr: 8.4230e-02 eta: 2 days, 12:51:03 time: 0.5225 data_time: 0.0415 memory: 18108 grad_norm: 3.0450 loss: 4.5709 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5948 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.9761 2023/01/31 16:39:35 - mmengine - INFO - Epoch(train) [29][ 100/1879] lr: 8.4258e-02 eta: 2 days, 12:50:46 time: 0.4703 data_time: 0.0400 memory: 18108 grad_norm: 3.0642 loss: 4.7898 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7916 top1_acc_1: 0.4824 top5_acc_1: 0.6941 loss_cls_1: 1.9981 2023/01/31 16:39:44 - mmengine - INFO - Epoch(train) [29][ 120/1879] lr: 8.4286e-02 eta: 2 days, 12:50:27 time: 0.4601 data_time: 0.0296 memory: 18108 grad_norm: 3.0512 loss: 4.4929 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.4959 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.9970 2023/01/31 16:39:54 - mmengine - INFO - Epoch(train) [29][ 140/1879] lr: 8.4315e-02 eta: 2 days, 12:50:13 time: 0.4845 data_time: 0.0464 memory: 18108 grad_norm: 3.0515 loss: 4.9174 top1_acc_0: 0.0625 top5_acc_0: 0.5000 loss_cls_0: 2.8531 top1_acc_1: 0.5647 top5_acc_1: 0.7176 loss_cls_1: 2.0643 2023/01/31 16:40:04 - mmengine - INFO - Epoch(train) [29][ 160/1879] lr: 8.4343e-02 eta: 2 days, 12:49:58 time: 0.4810 data_time: 0.0297 memory: 18108 grad_norm: 3.0566 loss: 4.8114 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.8554 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.9560 2023/01/31 16:40:13 - mmengine - INFO - Epoch(train) [29][ 180/1879] lr: 8.4371e-02 eta: 2 days, 12:49:42 time: 0.4760 data_time: 0.0370 memory: 18108 grad_norm: 2.9896 loss: 4.7922 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8105 top1_acc_1: 0.5765 top5_acc_1: 0.7294 loss_cls_1: 1.9817 2023/01/31 16:40:23 - mmengine - INFO - Epoch(train) [29][ 200/1879] lr: 8.4399e-02 eta: 2 days, 12:49:26 time: 0.4757 data_time: 0.0296 memory: 18108 grad_norm: 3.0402 loss: 4.7275 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7658 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9617 2023/01/31 16:40:33 - mmengine - INFO - Epoch(train) [29][ 220/1879] lr: 8.4427e-02 eta: 2 days, 12:49:14 time: 0.5035 data_time: 0.0381 memory: 18108 grad_norm: 3.0300 loss: 5.2142 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 3.1108 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.1034 2023/01/31 16:40:42 - mmengine - INFO - Epoch(train) [29][ 240/1879] lr: 8.4456e-02 eta: 2 days, 12:49:00 time: 0.4882 data_time: 0.0302 memory: 18108 grad_norm: 3.0569 loss: 5.0147 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.0266 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9881 2023/01/31 16:40:52 - mmengine - INFO - Epoch(train) [29][ 260/1879] lr: 8.4484e-02 eta: 2 days, 12:48:46 time: 0.4893 data_time: 0.0380 memory: 18108 grad_norm: 3.0331 loss: 5.1690 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.1081 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 2.0610 2023/01/31 16:41:02 - mmengine - INFO - Epoch(train) [29][ 280/1879] lr: 8.4512e-02 eta: 2 days, 12:48:33 time: 0.4887 data_time: 0.0286 memory: 18108 grad_norm: 3.0741 loss: 4.6972 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.7121 top1_acc_1: 0.5059 top5_acc_1: 0.6824 loss_cls_1: 1.9850 2023/01/31 16:41:12 - mmengine - INFO - Epoch(train) [29][ 300/1879] lr: 8.4540e-02 eta: 2 days, 12:48:21 time: 0.5026 data_time: 0.0438 memory: 18108 grad_norm: 3.0688 loss: 4.8987 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.9633 top1_acc_1: 0.5294 top5_acc_1: 0.6235 loss_cls_1: 1.9354 2023/01/31 16:41:22 - mmengine - INFO - Epoch(train) [29][ 320/1879] lr: 8.4568e-02 eta: 2 days, 12:48:07 time: 0.4858 data_time: 0.0284 memory: 18108 grad_norm: 3.0480 loss: 5.0173 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0212 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 1.9961 2023/01/31 16:41:32 - mmengine - INFO - Epoch(train) [29][ 340/1879] lr: 8.4596e-02 eta: 2 days, 12:47:54 time: 0.4958 data_time: 0.0373 memory: 18108 grad_norm: 3.0775 loss: 4.7626 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6705 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0921 2023/01/31 16:41:42 - mmengine - INFO - Epoch(train) [29][ 360/1879] lr: 8.4625e-02 eta: 2 days, 12:47:42 time: 0.5031 data_time: 0.0380 memory: 18108 grad_norm: 3.0452 loss: 4.8776 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7918 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.0858 2023/01/31 16:41:52 - mmengine - INFO - Epoch(train) [29][ 380/1879] lr: 8.4653e-02 eta: 2 days, 12:47:31 time: 0.5028 data_time: 0.0373 memory: 18108 grad_norm: 3.0632 loss: 4.8277 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7599 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 2.0678 2023/01/31 16:41:56 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 16:42:02 - mmengine - INFO - Epoch(train) [29][ 400/1879] lr: 8.4681e-02 eta: 2 days, 12:47:16 time: 0.4866 data_time: 0.0300 memory: 18108 grad_norm: 3.0359 loss: 5.0106 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.9388 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 2.0718 2023/01/31 16:42:12 - mmengine - INFO - Epoch(train) [29][ 420/1879] lr: 8.4709e-02 eta: 2 days, 12:47:09 time: 0.5287 data_time: 0.0374 memory: 18108 grad_norm: 3.0324 loss: 4.8917 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8016 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 2.0902 2023/01/31 16:42:22 - mmengine - INFO - Epoch(train) [29][ 440/1879] lr: 8.4737e-02 eta: 2 days, 12:46:55 time: 0.4892 data_time: 0.0380 memory: 18108 grad_norm: 3.1022 loss: 4.8173 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7480 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0693 2023/01/31 16:42:32 - mmengine - INFO - Epoch(train) [29][ 460/1879] lr: 8.4765e-02 eta: 2 days, 12:46:44 time: 0.5068 data_time: 0.0397 memory: 18108 grad_norm: 3.0368 loss: 4.7787 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7295 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.0492 2023/01/31 16:42:42 - mmengine - INFO - Epoch(train) [29][ 480/1879] lr: 8.4794e-02 eta: 2 days, 12:46:32 time: 0.4994 data_time: 0.0331 memory: 18108 grad_norm: 3.0734 loss: 4.7542 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 2.7440 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.0102 2023/01/31 16:42:52 - mmengine - INFO - Epoch(train) [29][ 500/1879] lr: 8.4822e-02 eta: 2 days, 12:46:22 time: 0.5116 data_time: 0.0466 memory: 18108 grad_norm: 3.0558 loss: 4.9126 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9692 top1_acc_1: 0.4941 top5_acc_1: 0.6706 loss_cls_1: 1.9434 2023/01/31 16:43:02 - mmengine - INFO - Epoch(train) [29][ 520/1879] lr: 8.4850e-02 eta: 2 days, 12:46:10 time: 0.4979 data_time: 0.0284 memory: 18108 grad_norm: 3.0789 loss: 4.8659 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7622 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.1037 2023/01/31 16:43:12 - mmengine - INFO - Epoch(train) [29][ 540/1879] lr: 8.4878e-02 eta: 2 days, 12:45:58 time: 0.5006 data_time: 0.0378 memory: 18108 grad_norm: 3.0932 loss: 4.8495 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8689 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.9806 2023/01/31 16:43:22 - mmengine - INFO - Epoch(train) [29][ 560/1879] lr: 8.4906e-02 eta: 2 days, 12:45:46 time: 0.5046 data_time: 0.0305 memory: 18108 grad_norm: 3.0662 loss: 4.8102 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7273 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 2.0829 2023/01/31 16:43:33 - mmengine - INFO - Epoch(train) [29][ 580/1879] lr: 8.4934e-02 eta: 2 days, 12:45:38 time: 0.5213 data_time: 0.0450 memory: 18108 grad_norm: 3.0842 loss: 4.8755 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7826 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 2.0929 2023/01/31 16:43:43 - mmengine - INFO - Epoch(train) [29][ 600/1879] lr: 8.4963e-02 eta: 2 days, 12:45:28 time: 0.5151 data_time: 0.0292 memory: 18108 grad_norm: 3.0413 loss: 5.0567 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8687 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 2.1879 2023/01/31 16:43:54 - mmengine - INFO - Epoch(train) [29][ 620/1879] lr: 8.4991e-02 eta: 2 days, 12:45:20 time: 0.5263 data_time: 0.0359 memory: 18108 grad_norm: 3.0887 loss: 4.7422 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8167 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9255 2023/01/31 16:44:04 - mmengine - INFO - Epoch(train) [29][ 640/1879] lr: 8.5019e-02 eta: 2 days, 12:45:13 time: 0.5287 data_time: 0.0378 memory: 18108 grad_norm: 3.0343 loss: 5.0477 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.0508 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9969 2023/01/31 16:44:14 - mmengine - INFO - Epoch(train) [29][ 660/1879] lr: 8.5047e-02 eta: 2 days, 12:45:02 time: 0.5092 data_time: 0.0363 memory: 18108 grad_norm: 3.0384 loss: 4.8404 top1_acc_0: 0.0625 top5_acc_0: 0.6250 loss_cls_0: 2.8825 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.9579 2023/01/31 16:44:25 - mmengine - INFO - Epoch(train) [29][ 680/1879] lr: 8.5075e-02 eta: 2 days, 12:44:53 time: 0.5170 data_time: 0.0307 memory: 18108 grad_norm: 3.0061 loss: 4.8772 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.8579 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.0193 2023/01/31 16:44:35 - mmengine - INFO - Epoch(train) [29][ 700/1879] lr: 8.5104e-02 eta: 2 days, 12:44:43 time: 0.5151 data_time: 0.0358 memory: 18108 grad_norm: 3.0607 loss: 5.2515 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 3.1759 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 2.0756 2023/01/31 16:44:46 - mmengine - INFO - Epoch(train) [29][ 720/1879] lr: 8.5132e-02 eta: 2 days, 12:44:35 time: 0.5201 data_time: 0.0372 memory: 18108 grad_norm: 3.0548 loss: 4.7016 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6639 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0377 2023/01/31 16:44:56 - mmengine - INFO - Epoch(train) [29][ 740/1879] lr: 8.5160e-02 eta: 2 days, 12:44:26 time: 0.5228 data_time: 0.0378 memory: 18108 grad_norm: 3.0795 loss: 4.8611 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.8728 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9884 2023/01/31 16:45:06 - mmengine - INFO - Epoch(train) [29][ 760/1879] lr: 8.5188e-02 eta: 2 days, 12:44:18 time: 0.5239 data_time: 0.0301 memory: 18108 grad_norm: 3.0484 loss: 4.9553 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8677 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.0876 2023/01/31 16:45:17 - mmengine - INFO - Epoch(train) [29][ 780/1879] lr: 8.5216e-02 eta: 2 days, 12:44:11 time: 0.5319 data_time: 0.0388 memory: 18108 grad_norm: 3.0724 loss: 4.7243 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7301 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.9941 2023/01/31 16:45:28 - mmengine - INFO - Epoch(train) [29][ 800/1879] lr: 8.5244e-02 eta: 2 days, 12:44:03 time: 0.5229 data_time: 0.0310 memory: 18108 grad_norm: 3.0179 loss: 4.8654 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8388 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 2.0265 2023/01/31 16:45:38 - mmengine - INFO - Epoch(train) [29][ 820/1879] lr: 8.5273e-02 eta: 2 days, 12:43:55 time: 0.5286 data_time: 0.0378 memory: 18108 grad_norm: 3.0586 loss: 5.0102 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9037 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.1066 2023/01/31 16:45:48 - mmengine - INFO - Epoch(train) [29][ 840/1879] lr: 8.5301e-02 eta: 2 days, 12:43:45 time: 0.5139 data_time: 0.0315 memory: 18108 grad_norm: 3.0844 loss: 5.1378 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9821 top1_acc_1: 0.4941 top5_acc_1: 0.8118 loss_cls_1: 2.1556 2023/01/31 16:45:59 - mmengine - INFO - Epoch(train) [29][ 860/1879] lr: 8.5329e-02 eta: 2 days, 12:43:39 time: 0.5350 data_time: 0.0365 memory: 18108 grad_norm: 3.0163 loss: 4.5773 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6205 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.9568 2023/01/31 16:46:09 - mmengine - INFO - Epoch(train) [29][ 880/1879] lr: 8.5357e-02 eta: 2 days, 12:43:27 time: 0.4985 data_time: 0.0309 memory: 18108 grad_norm: 3.0504 loss: 4.9522 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9689 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.9833 2023/01/31 16:46:20 - mmengine - INFO - Epoch(train) [29][ 900/1879] lr: 8.5385e-02 eta: 2 days, 12:43:21 time: 0.5425 data_time: 0.0458 memory: 18108 grad_norm: 3.0789 loss: 4.7434 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7526 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 1.9908 2023/01/31 16:46:30 - mmengine - INFO - Epoch(train) [29][ 920/1879] lr: 8.5413e-02 eta: 2 days, 12:43:11 time: 0.5113 data_time: 0.0285 memory: 18108 grad_norm: 3.0727 loss: 4.7560 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6488 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 2.1072 2023/01/31 16:46:41 - mmengine - INFO - Epoch(train) [29][ 940/1879] lr: 8.5442e-02 eta: 2 days, 12:43:02 time: 0.5178 data_time: 0.0369 memory: 18108 grad_norm: 3.0221 loss: 4.9523 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9701 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9823 2023/01/31 16:46:51 - mmengine - INFO - Epoch(train) [29][ 960/1879] lr: 8.5470e-02 eta: 2 days, 12:42:51 time: 0.5054 data_time: 0.0319 memory: 18108 grad_norm: 3.0371 loss: 5.0567 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.9422 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 2.1145 2023/01/31 16:47:01 - mmengine - INFO - Epoch(train) [29][ 980/1879] lr: 8.5498e-02 eta: 2 days, 12:42:41 time: 0.5128 data_time: 0.0401 memory: 18108 grad_norm: 2.9808 loss: 4.7743 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7846 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.9897 2023/01/31 16:47:11 - mmengine - INFO - Epoch(train) [29][1000/1879] lr: 8.5526e-02 eta: 2 days, 12:42:31 time: 0.5128 data_time: 0.0289 memory: 18108 grad_norm: 3.0317 loss: 4.5699 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5382 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 2.0317 2023/01/31 16:47:21 - mmengine - INFO - Epoch(train) [29][1020/1879] lr: 8.5554e-02 eta: 2 days, 12:42:21 time: 0.5138 data_time: 0.0369 memory: 18108 grad_norm: 3.0387 loss: 4.7728 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.6820 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 2.0907 2023/01/31 16:47:32 - mmengine - INFO - Epoch(train) [29][1040/1879] lr: 8.5583e-02 eta: 2 days, 12:42:12 time: 0.5158 data_time: 0.0359 memory: 18108 grad_norm: 3.1010 loss: 4.9433 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8244 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 2.1189 2023/01/31 16:47:42 - mmengine - INFO - Epoch(train) [29][1060/1879] lr: 8.5611e-02 eta: 2 days, 12:42:01 time: 0.5116 data_time: 0.0394 memory: 18108 grad_norm: 3.0433 loss: 4.7187 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 2.6272 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.0915 2023/01/31 16:47:52 - mmengine - INFO - Epoch(train) [29][1080/1879] lr: 8.5639e-02 eta: 2 days, 12:41:49 time: 0.4957 data_time: 0.0295 memory: 18108 grad_norm: 3.0810 loss: 4.8282 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.8230 top1_acc_1: 0.4588 top5_acc_1: 0.7294 loss_cls_1: 2.0052 2023/01/31 16:48:02 - mmengine - INFO - Epoch(train) [29][1100/1879] lr: 8.5667e-02 eta: 2 days, 12:41:40 time: 0.5209 data_time: 0.0381 memory: 18108 grad_norm: 3.0420 loss: 4.7875 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.7902 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.9973 2023/01/31 16:48:13 - mmengine - INFO - Epoch(train) [29][1120/1879] lr: 8.5695e-02 eta: 2 days, 12:41:32 time: 0.5260 data_time: 0.0296 memory: 18108 grad_norm: 3.0079 loss: 4.4421 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.4092 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 2.0329 2023/01/31 16:48:23 - mmengine - INFO - Epoch(train) [29][1140/1879] lr: 8.5723e-02 eta: 2 days, 12:41:21 time: 0.5092 data_time: 0.0374 memory: 18108 grad_norm: 2.9932 loss: 4.8113 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6992 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 2.1121 2023/01/31 16:48:33 - mmengine - INFO - Epoch(train) [29][1160/1879] lr: 8.5752e-02 eta: 2 days, 12:41:10 time: 0.5058 data_time: 0.0377 memory: 18108 grad_norm: 2.9871 loss: 4.9096 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8436 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0660 2023/01/31 16:48:44 - mmengine - INFO - Epoch(train) [29][1180/1879] lr: 8.5780e-02 eta: 2 days, 12:41:01 time: 0.5158 data_time: 0.0381 memory: 18108 grad_norm: 3.0449 loss: 4.9970 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8527 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.1443 2023/01/31 16:48:54 - mmengine - INFO - Epoch(train) [29][1200/1879] lr: 8.5808e-02 eta: 2 days, 12:40:51 time: 0.5130 data_time: 0.0300 memory: 18108 grad_norm: 3.0266 loss: 4.7643 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6637 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 2.1007 2023/01/31 16:49:04 - mmengine - INFO - Epoch(train) [29][1220/1879] lr: 8.5836e-02 eta: 2 days, 12:40:41 time: 0.5112 data_time: 0.0393 memory: 18108 grad_norm: 2.9845 loss: 4.8548 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7878 top1_acc_1: 0.4353 top5_acc_1: 0.7412 loss_cls_1: 2.0670 2023/01/31 16:49:14 - mmengine - INFO - Epoch(train) [29][1240/1879] lr: 8.5864e-02 eta: 2 days, 12:40:29 time: 0.5046 data_time: 0.0360 memory: 18108 grad_norm: 2.9999 loss: 4.6723 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6647 top1_acc_1: 0.4824 top5_acc_1: 0.6941 loss_cls_1: 2.0077 2023/01/31 16:49:25 - mmengine - INFO - Epoch(train) [29][1260/1879] lr: 8.5892e-02 eta: 2 days, 12:40:23 time: 0.5352 data_time: 0.0400 memory: 18108 grad_norm: 3.0047 loss: 4.8308 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7771 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0537 2023/01/31 16:49:35 - mmengine - INFO - Epoch(train) [29][1280/1879] lr: 8.5921e-02 eta: 2 days, 12:40:10 time: 0.4951 data_time: 0.0292 memory: 18108 grad_norm: 3.0668 loss: 4.7877 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7689 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0188 2023/01/31 16:49:45 - mmengine - INFO - Epoch(train) [29][1300/1879] lr: 8.5949e-02 eta: 2 days, 12:40:02 time: 0.5234 data_time: 0.0459 memory: 18108 grad_norm: 2.9886 loss: 5.0859 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 3.0116 top1_acc_1: 0.4824 top5_acc_1: 0.6941 loss_cls_1: 2.0743 2023/01/31 16:49:55 - mmengine - INFO - Epoch(train) [29][1320/1879] lr: 8.5977e-02 eta: 2 days, 12:39:51 time: 0.5075 data_time: 0.0290 memory: 18108 grad_norm: 2.9886 loss: 4.9955 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8428 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.1528 2023/01/31 16:50:06 - mmengine - INFO - Epoch(train) [29][1340/1879] lr: 8.6005e-02 eta: 2 days, 12:39:45 time: 0.5354 data_time: 0.0364 memory: 18108 grad_norm: 3.0080 loss: 4.7703 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7030 top1_acc_1: 0.4588 top5_acc_1: 0.6941 loss_cls_1: 2.0673 2023/01/31 16:50:16 - mmengine - INFO - Epoch(train) [29][1360/1879] lr: 8.6033e-02 eta: 2 days, 12:39:34 time: 0.5086 data_time: 0.0375 memory: 18108 grad_norm: 3.0323 loss: 5.0880 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.9089 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 2.1791 2023/01/31 16:50:27 - mmengine - INFO - Epoch(train) [29][1380/1879] lr: 8.6062e-02 eta: 2 days, 12:39:26 time: 0.5234 data_time: 0.0399 memory: 18108 grad_norm: 3.0320 loss: 4.7800 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6463 top1_acc_1: 0.5176 top5_acc_1: 0.6588 loss_cls_1: 2.1337 2023/01/31 16:50:31 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 16:50:37 - mmengine - INFO - Epoch(train) [29][1400/1879] lr: 8.6090e-02 eta: 2 days, 12:39:15 time: 0.5101 data_time: 0.0293 memory: 18108 grad_norm: 2.9876 loss: 4.7926 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.7741 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 2.0185 2023/01/31 16:50:47 - mmengine - INFO - Epoch(train) [29][1420/1879] lr: 8.6118e-02 eta: 2 days, 12:39:08 time: 0.5283 data_time: 0.0447 memory: 18108 grad_norm: 2.9846 loss: 5.0512 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.9895 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 2.0616 2023/01/31 16:50:58 - mmengine - INFO - Epoch(train) [29][1440/1879] lr: 8.6146e-02 eta: 2 days, 12:38:57 time: 0.5062 data_time: 0.0300 memory: 18108 grad_norm: 3.0400 loss: 4.9520 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.8542 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 2.0978 2023/01/31 16:51:08 - mmengine - INFO - Epoch(train) [29][1460/1879] lr: 8.6174e-02 eta: 2 days, 12:38:48 time: 0.5236 data_time: 0.0387 memory: 18108 grad_norm: 3.0433 loss: 4.8886 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8301 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 2.0585 2023/01/31 16:51:18 - mmengine - INFO - Epoch(train) [29][1480/1879] lr: 8.6202e-02 eta: 2 days, 12:38:37 time: 0.5073 data_time: 0.0289 memory: 18108 grad_norm: 2.9926 loss: 4.6354 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7384 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.8971 2023/01/31 16:51:29 - mmengine - INFO - Epoch(train) [29][1500/1879] lr: 8.6231e-02 eta: 2 days, 12:38:29 time: 0.5243 data_time: 0.0479 memory: 18108 grad_norm: 3.0175 loss: 4.8756 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7026 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.1730 2023/01/31 16:51:39 - mmengine - INFO - Epoch(train) [29][1520/1879] lr: 8.6259e-02 eta: 2 days, 12:38:19 time: 0.5121 data_time: 0.0297 memory: 18108 grad_norm: 3.0533 loss: 4.8262 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7586 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.0676 2023/01/31 16:51:49 - mmengine - INFO - Epoch(train) [29][1540/1879] lr: 8.6287e-02 eta: 2 days, 12:38:10 time: 0.5176 data_time: 0.0366 memory: 18108 grad_norm: 3.0586 loss: 5.0432 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.9969 top1_acc_1: 0.4471 top5_acc_1: 0.6941 loss_cls_1: 2.0463 2023/01/31 16:51:59 - mmengine - INFO - Epoch(train) [29][1560/1879] lr: 8.6315e-02 eta: 2 days, 12:37:59 time: 0.5061 data_time: 0.0317 memory: 18108 grad_norm: 3.0501 loss: 4.9484 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8206 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 2.1278 2023/01/31 16:52:10 - mmengine - INFO - Epoch(train) [29][1580/1879] lr: 8.6343e-02 eta: 2 days, 12:37:50 time: 0.5189 data_time: 0.0357 memory: 18108 grad_norm: 3.0583 loss: 4.9455 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8657 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 2.0798 2023/01/31 16:52:20 - mmengine - INFO - Epoch(train) [29][1600/1879] lr: 8.6371e-02 eta: 2 days, 12:37:39 time: 0.5063 data_time: 0.0291 memory: 18108 grad_norm: 3.0255 loss: 5.1209 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.0672 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0537 2023/01/31 16:52:30 - mmengine - INFO - Epoch(train) [29][1620/1879] lr: 8.6400e-02 eta: 2 days, 12:37:30 time: 0.5208 data_time: 0.0364 memory: 18108 grad_norm: 3.0431 loss: 4.9411 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.8986 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.0426 2023/01/31 16:52:41 - mmengine - INFO - Epoch(train) [29][1640/1879] lr: 8.6428e-02 eta: 2 days, 12:37:21 time: 0.5187 data_time: 0.0284 memory: 18108 grad_norm: 3.0339 loss: 4.8917 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8527 top1_acc_1: 0.5059 top5_acc_1: 0.7059 loss_cls_1: 2.0391 2023/01/31 16:52:51 - mmengine - INFO - Epoch(train) [29][1660/1879] lr: 8.6456e-02 eta: 2 days, 12:37:13 time: 0.5239 data_time: 0.0381 memory: 18108 grad_norm: 3.0252 loss: 4.7476 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6210 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 2.1266 2023/01/31 16:53:02 - mmengine - INFO - Epoch(train) [29][1680/1879] lr: 8.6484e-02 eta: 2 days, 12:37:04 time: 0.5239 data_time: 0.0378 memory: 18108 grad_norm: 3.0027 loss: 4.9922 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8360 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 2.1562 2023/01/31 16:53:12 - mmengine - INFO - Epoch(train) [29][1700/1879] lr: 8.6512e-02 eta: 2 days, 12:36:58 time: 0.5334 data_time: 0.0366 memory: 18108 grad_norm: 3.0945 loss: 4.9984 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.9495 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 2.0490 2023/01/31 16:53:23 - mmengine - INFO - Epoch(train) [29][1720/1879] lr: 8.6541e-02 eta: 2 days, 12:36:47 time: 0.5087 data_time: 0.0292 memory: 18108 grad_norm: 2.9846 loss: 4.9398 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8476 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.0922 2023/01/31 16:53:33 - mmengine - INFO - Epoch(train) [29][1740/1879] lr: 8.6569e-02 eta: 2 days, 12:36:40 time: 0.5329 data_time: 0.0476 memory: 18108 grad_norm: 2.9888 loss: 4.7470 top1_acc_0: 0.1875 top5_acc_0: 0.7500 loss_cls_0: 2.7039 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.0431 2023/01/31 16:53:43 - mmengine - INFO - Epoch(train) [29][1760/1879] lr: 8.6597e-02 eta: 2 days, 12:36:29 time: 0.5071 data_time: 0.0286 memory: 18108 grad_norm: 3.0047 loss: 5.2621 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 3.1499 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.1121 2023/01/31 16:53:54 - mmengine - INFO - Epoch(train) [29][1780/1879] lr: 8.6625e-02 eta: 2 days, 12:36:20 time: 0.5151 data_time: 0.0359 memory: 18108 grad_norm: 3.0190 loss: 5.2577 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.1263 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 2.1314 2023/01/31 16:54:04 - mmengine - INFO - Epoch(train) [29][1800/1879] lr: 8.6653e-02 eta: 2 days, 12:36:09 time: 0.5093 data_time: 0.0291 memory: 18108 grad_norm: 2.9903 loss: 4.8158 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 2.7606 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 2.0552 2023/01/31 16:54:14 - mmengine - INFO - Epoch(train) [29][1820/1879] lr: 8.6681e-02 eta: 2 days, 12:36:01 time: 0.5272 data_time: 0.0505 memory: 18108 grad_norm: 2.9775 loss: 4.9629 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.7736 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 2.1894 2023/01/31 16:54:24 - mmengine - INFO - Epoch(train) [29][1840/1879] lr: 8.6710e-02 eta: 2 days, 12:35:50 time: 0.5028 data_time: 0.0288 memory: 18108 grad_norm: 2.9971 loss: 5.1578 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.1694 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.9884 2023/01/31 16:54:35 - mmengine - INFO - Epoch(train) [29][1860/1879] lr: 8.6738e-02 eta: 2 days, 12:35:39 time: 0.5075 data_time: 0.0381 memory: 18108 grad_norm: 2.9567 loss: 4.5667 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5268 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 2.0399 2023/01/31 16:54:44 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 16:54:44 - mmengine - INFO - Epoch(train) [29][1879/1879] lr: 8.6764e-02 eta: 2 days, 12:35:26 time: 0.4908 data_time: 0.0375 memory: 18108 grad_norm: 3.1258 loss: 4.7151 top1_acc_0: 0.1429 top5_acc_0: 0.4286 loss_cls_0: 2.6899 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 2.0252 2023/01/31 16:54:59 - mmengine - INFO - Epoch(train) [30][ 20/1879] lr: 8.6793e-02 eta: 2 days, 12:35:45 time: 0.7011 data_time: 0.2583 memory: 18108 grad_norm: 3.0824 loss: 4.7961 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7964 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9997 2023/01/31 16:55:08 - mmengine - INFO - Epoch(train) [30][ 40/1879] lr: 8.6821e-02 eta: 2 days, 12:35:28 time: 0.4656 data_time: 0.0330 memory: 18108 grad_norm: 3.0667 loss: 4.9324 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9842 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9482 2023/01/31 16:55:18 - mmengine - INFO - Epoch(train) [30][ 60/1879] lr: 8.6849e-02 eta: 2 days, 12:35:11 time: 0.4706 data_time: 0.0356 memory: 18108 grad_norm: 2.9725 loss: 4.8289 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.8022 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 2.0267 2023/01/31 16:55:28 - mmengine - INFO - Epoch(train) [30][ 80/1879] lr: 8.6877e-02 eta: 2 days, 12:34:59 time: 0.5018 data_time: 0.0345 memory: 18108 grad_norm: 3.0913 loss: 5.0134 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9625 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.0510 2023/01/31 16:55:37 - mmengine - INFO - Epoch(train) [30][ 100/1879] lr: 8.6905e-02 eta: 2 days, 12:34:43 time: 0.4693 data_time: 0.0350 memory: 18108 grad_norm: 3.0507 loss: 4.8609 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.8702 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.9907 2023/01/31 16:55:46 - mmengine - INFO - Epoch(train) [30][ 120/1879] lr: 8.6934e-02 eta: 2 days, 12:34:25 time: 0.4665 data_time: 0.0349 memory: 18108 grad_norm: 3.0492 loss: 5.0454 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.0394 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 2.0061 2023/01/31 16:55:56 - mmengine - INFO - Epoch(train) [30][ 140/1879] lr: 8.6962e-02 eta: 2 days, 12:34:09 time: 0.4755 data_time: 0.0352 memory: 18108 grad_norm: 3.0108 loss: 4.9167 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.8049 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 2.1118 2023/01/31 16:56:05 - mmengine - INFO - Epoch(train) [30][ 160/1879] lr: 8.6990e-02 eta: 2 days, 12:33:55 time: 0.4820 data_time: 0.0417 memory: 18108 grad_norm: 3.0068 loss: 4.8714 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8625 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 2.0089 2023/01/31 16:56:15 - mmengine - INFO - Epoch(train) [30][ 180/1879] lr: 8.7018e-02 eta: 2 days, 12:33:38 time: 0.4689 data_time: 0.0347 memory: 18108 grad_norm: 3.0325 loss: 4.7786 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.7232 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.0555 2023/01/31 16:56:24 - mmengine - INFO - Epoch(train) [30][ 200/1879] lr: 8.7046e-02 eta: 2 days, 12:33:20 time: 0.4635 data_time: 0.0360 memory: 18108 grad_norm: 3.0336 loss: 4.7180 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7213 top1_acc_1: 0.4941 top5_acc_1: 0.8235 loss_cls_1: 1.9966 2023/01/31 16:56:34 - mmengine - INFO - Epoch(train) [30][ 220/1879] lr: 8.7074e-02 eta: 2 days, 12:33:09 time: 0.5036 data_time: 0.0428 memory: 18108 grad_norm: 3.0130 loss: 4.7149 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6887 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.0263 2023/01/31 16:56:44 - mmengine - INFO - Epoch(train) [30][ 240/1879] lr: 8.7103e-02 eta: 2 days, 12:32:52 time: 0.4725 data_time: 0.0342 memory: 18108 grad_norm: 3.0126 loss: 4.5084 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6209 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.8875 2023/01/31 16:56:53 - mmengine - INFO - Epoch(train) [30][ 260/1879] lr: 8.7131e-02 eta: 2 days, 12:32:35 time: 0.4660 data_time: 0.0332 memory: 18108 grad_norm: 3.0829 loss: 4.7802 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.7807 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9995 2023/01/31 16:57:03 - mmengine - INFO - Epoch(train) [30][ 280/1879] lr: 8.7159e-02 eta: 2 days, 12:32:22 time: 0.4905 data_time: 0.0345 memory: 18108 grad_norm: 3.1016 loss: 5.0364 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.9699 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 2.0665 2023/01/31 16:57:12 - mmengine - INFO - Epoch(train) [30][ 300/1879] lr: 8.7187e-02 eta: 2 days, 12:32:06 time: 0.4776 data_time: 0.0324 memory: 18108 grad_norm: 3.0247 loss: 4.6829 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6672 top1_acc_1: 0.4353 top5_acc_1: 0.6941 loss_cls_1: 2.0157 2023/01/31 16:57:22 - mmengine - INFO - Epoch(train) [30][ 320/1879] lr: 8.7215e-02 eta: 2 days, 12:31:51 time: 0.4768 data_time: 0.0344 memory: 18108 grad_norm: 3.0048 loss: 4.7696 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7642 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.0054 2023/01/31 16:57:31 - mmengine - INFO - Epoch(train) [30][ 340/1879] lr: 8.7243e-02 eta: 2 days, 12:31:34 time: 0.4727 data_time: 0.0347 memory: 18108 grad_norm: 3.0479 loss: 4.6821 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 2.8095 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8726 2023/01/31 16:57:41 - mmengine - INFO - Epoch(train) [30][ 360/1879] lr: 8.7272e-02 eta: 2 days, 12:31:20 time: 0.4835 data_time: 0.0322 memory: 18108 grad_norm: 3.0703 loss: 4.9163 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8255 top1_acc_1: 0.4941 top5_acc_1: 0.6941 loss_cls_1: 2.0908 2023/01/31 16:57:51 - mmengine - INFO - Epoch(train) [30][ 380/1879] lr: 8.7300e-02 eta: 2 days, 12:31:04 time: 0.4738 data_time: 0.0334 memory: 18108 grad_norm: 3.0811 loss: 4.8040 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7911 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.0129 2023/01/31 16:58:00 - mmengine - INFO - Epoch(train) [30][ 400/1879] lr: 8.7328e-02 eta: 2 days, 12:30:47 time: 0.4681 data_time: 0.0343 memory: 18108 grad_norm: 3.0083 loss: 4.9252 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.8847 top1_acc_1: 0.4471 top5_acc_1: 0.7412 loss_cls_1: 2.0405 2023/01/31 16:58:09 - mmengine - INFO - Epoch(train) [30][ 420/1879] lr: 8.7356e-02 eta: 2 days, 12:30:32 time: 0.4799 data_time: 0.0367 memory: 18108 grad_norm: 2.9897 loss: 4.4451 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4282 top1_acc_1: 0.5765 top5_acc_1: 0.7176 loss_cls_1: 2.0169 2023/01/31 16:58:19 - mmengine - INFO - Epoch(train) [30][ 440/1879] lr: 8.7384e-02 eta: 2 days, 12:30:17 time: 0.4848 data_time: 0.0339 memory: 18108 grad_norm: 3.0642 loss: 4.7889 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7084 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.0805 2023/01/31 16:58:29 - mmengine - INFO - Epoch(train) [30][ 460/1879] lr: 8.7413e-02 eta: 2 days, 12:30:03 time: 0.4825 data_time: 0.0425 memory: 18108 grad_norm: 3.0527 loss: 4.9505 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.7841 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.1664 2023/01/31 16:58:38 - mmengine - INFO - Epoch(train) [30][ 480/1879] lr: 8.7441e-02 eta: 2 days, 12:29:47 time: 0.4725 data_time: 0.0363 memory: 18108 grad_norm: 3.1027 loss: 4.8961 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7718 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.1243 2023/01/31 16:58:48 - mmengine - INFO - Epoch(train) [30][ 500/1879] lr: 8.7469e-02 eta: 2 days, 12:29:32 time: 0.4806 data_time: 0.0351 memory: 18108 grad_norm: 3.0414 loss: 4.9423 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7795 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 2.1628 2023/01/31 16:58:52 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 16:58:57 - mmengine - INFO - Epoch(train) [30][ 520/1879] lr: 8.7497e-02 eta: 2 days, 12:29:16 time: 0.4755 data_time: 0.0334 memory: 18108 grad_norm: 2.9861 loss: 4.8237 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8464 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 1.9772 2023/01/31 16:59:07 - mmengine - INFO - Epoch(train) [30][ 540/1879] lr: 8.7525e-02 eta: 2 days, 12:29:00 time: 0.4726 data_time: 0.0334 memory: 18108 grad_norm: 3.0717 loss: 4.7817 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8078 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.9739 2023/01/31 16:59:16 - mmengine - INFO - Epoch(train) [30][ 560/1879] lr: 8.7553e-02 eta: 2 days, 12:28:44 time: 0.4758 data_time: 0.0342 memory: 18108 grad_norm: 3.0734 loss: 4.8684 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7616 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 2.1067 2023/01/31 16:59:26 - mmengine - INFO - Epoch(train) [30][ 580/1879] lr: 8.7582e-02 eta: 2 days, 12:28:31 time: 0.4964 data_time: 0.0354 memory: 18108 grad_norm: 2.9915 loss: 4.7299 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7172 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 2.0128 2023/01/31 16:59:36 - mmengine - INFO - Epoch(train) [30][ 600/1879] lr: 8.7610e-02 eta: 2 days, 12:28:16 time: 0.4795 data_time: 0.0397 memory: 18108 grad_norm: 3.0181 loss: 4.7470 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6080 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.1390 2023/01/31 16:59:46 - mmengine - INFO - Epoch(train) [30][ 620/1879] lr: 8.7638e-02 eta: 2 days, 12:28:04 time: 0.4954 data_time: 0.0355 memory: 18108 grad_norm: 3.0540 loss: 4.7496 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7573 top1_acc_1: 0.5882 top5_acc_1: 0.6941 loss_cls_1: 1.9923 2023/01/31 16:59:56 - mmengine - INFO - Epoch(train) [30][ 640/1879] lr: 8.7666e-02 eta: 2 days, 12:27:51 time: 0.4931 data_time: 0.0344 memory: 18108 grad_norm: 3.0169 loss: 4.9762 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.7963 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 2.1799 2023/01/31 17:00:05 - mmengine - INFO - Epoch(train) [30][ 660/1879] lr: 8.7694e-02 eta: 2 days, 12:27:37 time: 0.4876 data_time: 0.0350 memory: 18108 grad_norm: 3.0528 loss: 4.9276 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8601 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 2.0675 2023/01/31 17:00:15 - mmengine - INFO - Epoch(train) [30][ 680/1879] lr: 8.7722e-02 eta: 2 days, 12:27:23 time: 0.4888 data_time: 0.0351 memory: 18108 grad_norm: 3.0414 loss: 4.7977 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7543 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 2.0433 2023/01/31 17:00:25 - mmengine - INFO - Epoch(train) [30][ 700/1879] lr: 8.7751e-02 eta: 2 days, 12:27:10 time: 0.4944 data_time: 0.0325 memory: 18108 grad_norm: 3.0245 loss: 4.7439 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7059 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.0380 2023/01/31 17:00:35 - mmengine - INFO - Epoch(train) [30][ 720/1879] lr: 8.7779e-02 eta: 2 days, 12:26:57 time: 0.4900 data_time: 0.0345 memory: 18108 grad_norm: 3.0123 loss: 4.7744 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6512 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.1232 2023/01/31 17:00:45 - mmengine - INFO - Epoch(train) [30][ 740/1879] lr: 8.7807e-02 eta: 2 days, 12:26:43 time: 0.4838 data_time: 0.0343 memory: 18108 grad_norm: 2.9951 loss: 5.0487 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.9104 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.1383 2023/01/31 17:00:55 - mmengine - INFO - Epoch(train) [30][ 760/1879] lr: 8.7835e-02 eta: 2 days, 12:26:32 time: 0.5090 data_time: 0.0412 memory: 18108 grad_norm: 3.0341 loss: 4.7603 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6453 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 2.1149 2023/01/31 17:01:05 - mmengine - INFO - Epoch(train) [30][ 780/1879] lr: 8.7863e-02 eta: 2 days, 12:26:18 time: 0.4881 data_time: 0.0325 memory: 18108 grad_norm: 3.0014 loss: 4.7418 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.7195 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 2.0224 2023/01/31 17:01:14 - mmengine - INFO - Epoch(train) [30][ 800/1879] lr: 8.7892e-02 eta: 2 days, 12:26:06 time: 0.4953 data_time: 0.0335 memory: 18108 grad_norm: 3.0050 loss: 4.6978 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6643 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 2.0335 2023/01/31 17:01:24 - mmengine - INFO - Epoch(train) [30][ 820/1879] lr: 8.7920e-02 eta: 2 days, 12:25:50 time: 0.4792 data_time: 0.0331 memory: 18108 grad_norm: 2.9925 loss: 4.7220 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7175 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 2.0045 2023/01/31 17:01:34 - mmengine - INFO - Epoch(train) [30][ 840/1879] lr: 8.7948e-02 eta: 2 days, 12:25:41 time: 0.5173 data_time: 0.0331 memory: 18108 grad_norm: 3.0033 loss: 4.8735 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8197 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.0538 2023/01/31 17:01:44 - mmengine - INFO - Epoch(train) [30][ 860/1879] lr: 8.7976e-02 eta: 2 days, 12:25:26 time: 0.4764 data_time: 0.0331 memory: 18108 grad_norm: 3.0368 loss: 4.8182 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7525 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 2.0657 2023/01/31 17:01:54 - mmengine - INFO - Epoch(train) [30][ 880/1879] lr: 8.8004e-02 eta: 2 days, 12:25:12 time: 0.4878 data_time: 0.0355 memory: 18108 grad_norm: 3.0716 loss: 5.1062 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.0050 top1_acc_1: 0.4824 top5_acc_1: 0.8000 loss_cls_1: 2.1012 2023/01/31 17:02:04 - mmengine - INFO - Epoch(train) [30][ 900/1879] lr: 8.8032e-02 eta: 2 days, 12:25:02 time: 0.5106 data_time: 0.0439 memory: 18108 grad_norm: 3.0013 loss: 4.8415 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8524 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.9890 2023/01/31 17:02:14 - mmengine - INFO - Epoch(train) [30][ 920/1879] lr: 8.8061e-02 eta: 2 days, 12:24:51 time: 0.5061 data_time: 0.0309 memory: 18108 grad_norm: 2.9667 loss: 4.8886 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7742 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.1144 2023/01/31 17:02:24 - mmengine - INFO - Epoch(train) [30][ 940/1879] lr: 8.8089e-02 eta: 2 days, 12:24:38 time: 0.4923 data_time: 0.0379 memory: 18108 grad_norm: 3.0185 loss: 4.8642 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.8207 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 2.0435 2023/01/31 17:02:34 - mmengine - INFO - Epoch(train) [30][ 960/1879] lr: 8.8117e-02 eta: 2 days, 12:24:26 time: 0.4995 data_time: 0.0302 memory: 18108 grad_norm: 3.0361 loss: 4.9893 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.9201 top1_acc_1: 0.4118 top5_acc_1: 0.7176 loss_cls_1: 2.0692 2023/01/31 17:02:44 - mmengine - INFO - Epoch(train) [30][ 980/1879] lr: 8.8145e-02 eta: 2 days, 12:24:14 time: 0.5036 data_time: 0.0414 memory: 18108 grad_norm: 2.9997 loss: 4.8643 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7038 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.1604 2023/01/31 17:02:54 - mmengine - INFO - Epoch(train) [30][1000/1879] lr: 8.8173e-02 eta: 2 days, 12:24:02 time: 0.4968 data_time: 0.0312 memory: 18108 grad_norm: 3.0762 loss: 4.7455 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7260 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 2.0195 2023/01/31 17:03:04 - mmengine - INFO - Epoch(train) [30][1020/1879] lr: 8.8201e-02 eta: 2 days, 12:23:50 time: 0.5029 data_time: 0.0352 memory: 18108 grad_norm: 3.0736 loss: 4.8630 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8367 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 2.0263 2023/01/31 17:03:14 - mmengine - INFO - Epoch(train) [30][1040/1879] lr: 8.8230e-02 eta: 2 days, 12:23:40 time: 0.5098 data_time: 0.0384 memory: 18108 grad_norm: 2.9941 loss: 4.8081 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7898 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.0183 2023/01/31 17:03:24 - mmengine - INFO - Epoch(train) [30][1060/1879] lr: 8.8258e-02 eta: 2 days, 12:23:28 time: 0.5011 data_time: 0.0361 memory: 18108 grad_norm: 3.0330 loss: 4.8708 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7765 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 2.0944 2023/01/31 17:03:34 - mmengine - INFO - Epoch(train) [30][1080/1879] lr: 8.8286e-02 eta: 2 days, 12:23:15 time: 0.4916 data_time: 0.0310 memory: 18108 grad_norm: 3.0336 loss: 4.9343 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.9547 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.9796 2023/01/31 17:03:44 - mmengine - INFO - Epoch(train) [30][1100/1879] lr: 8.8314e-02 eta: 2 days, 12:23:03 time: 0.5007 data_time: 0.0347 memory: 18108 grad_norm: 3.0099 loss: 4.9144 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.9439 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9705 2023/01/31 17:03:54 - mmengine - INFO - Epoch(train) [30][1120/1879] lr: 8.8342e-02 eta: 2 days, 12:22:51 time: 0.5003 data_time: 0.0363 memory: 18108 grad_norm: 2.9603 loss: 4.7901 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6989 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.0912 2023/01/31 17:04:04 - mmengine - INFO - Epoch(train) [30][1140/1879] lr: 8.8371e-02 eta: 2 days, 12:22:37 time: 0.4840 data_time: 0.0342 memory: 18108 grad_norm: 2.9568 loss: 4.8619 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8127 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 2.0492 2023/01/31 17:04:14 - mmengine - INFO - Epoch(train) [30][1160/1879] lr: 8.8399e-02 eta: 2 days, 12:22:26 time: 0.5028 data_time: 0.0334 memory: 18108 grad_norm: 2.9663 loss: 4.8362 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8544 top1_acc_1: 0.4235 top5_acc_1: 0.6941 loss_cls_1: 1.9818 2023/01/31 17:04:24 - mmengine - INFO - Epoch(train) [30][1180/1879] lr: 8.8427e-02 eta: 2 days, 12:22:13 time: 0.4966 data_time: 0.0436 memory: 18108 grad_norm: 3.0472 loss: 4.9764 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9094 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0670 2023/01/31 17:04:34 - mmengine - INFO - Epoch(train) [30][1200/1879] lr: 8.8455e-02 eta: 2 days, 12:22:00 time: 0.4891 data_time: 0.0332 memory: 18108 grad_norm: 2.9880 loss: 4.9120 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8230 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.0890 2023/01/31 17:04:43 - mmengine - INFO - Epoch(train) [30][1220/1879] lr: 8.8483e-02 eta: 2 days, 12:21:46 time: 0.4872 data_time: 0.0379 memory: 18108 grad_norm: 2.9429 loss: 4.9784 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 2.9482 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 2.0302 2023/01/31 17:04:53 - mmengine - INFO - Epoch(train) [30][1240/1879] lr: 8.8511e-02 eta: 2 days, 12:21:35 time: 0.5094 data_time: 0.0347 memory: 18108 grad_norm: 2.9663 loss: 4.8426 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8484 top1_acc_1: 0.4706 top5_acc_1: 0.6824 loss_cls_1: 1.9942 2023/01/31 17:05:03 - mmengine - INFO - Epoch(train) [30][1260/1879] lr: 8.8540e-02 eta: 2 days, 12:21:23 time: 0.4984 data_time: 0.0384 memory: 18108 grad_norm: 2.9619 loss: 4.9415 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8547 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.0868 2023/01/31 17:05:14 - mmengine - INFO - Epoch(train) [30][1280/1879] lr: 8.8568e-02 eta: 2 days, 12:21:13 time: 0.5086 data_time: 0.0353 memory: 18108 grad_norm: 2.9760 loss: 4.9658 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8643 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 2.1015 2023/01/31 17:05:24 - mmengine - INFO - Epoch(train) [30][1300/1879] lr: 8.8596e-02 eta: 2 days, 12:21:01 time: 0.5042 data_time: 0.0313 memory: 18108 grad_norm: 2.9972 loss: 4.5559 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5406 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0153 2023/01/31 17:05:34 - mmengine - INFO - Epoch(train) [30][1320/1879] lr: 8.8624e-02 eta: 2 days, 12:20:53 time: 0.5237 data_time: 0.0431 memory: 18108 grad_norm: 3.0358 loss: 5.0094 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8931 top1_acc_1: 0.4235 top5_acc_1: 0.7647 loss_cls_1: 2.1163 2023/01/31 17:05:44 - mmengine - INFO - Epoch(train) [30][1340/1879] lr: 8.8652e-02 eta: 2 days, 12:20:41 time: 0.4962 data_time: 0.0342 memory: 18108 grad_norm: 2.9873 loss: 4.8530 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.8143 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 2.0386 2023/01/31 17:05:55 - mmengine - INFO - Epoch(train) [30][1360/1879] lr: 8.8680e-02 eta: 2 days, 12:20:32 time: 0.5237 data_time: 0.0369 memory: 18108 grad_norm: 3.0753 loss: 5.1308 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.0449 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0860 2023/01/31 17:06:05 - mmengine - INFO - Epoch(train) [30][1380/1879] lr: 8.8709e-02 eta: 2 days, 12:20:23 time: 0.5192 data_time: 0.0299 memory: 18108 grad_norm: 2.9528 loss: 5.0369 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 3.0208 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.0161 2023/01/31 17:06:15 - mmengine - INFO - Epoch(train) [30][1400/1879] lr: 8.8737e-02 eta: 2 days, 12:20:14 time: 0.5165 data_time: 0.0355 memory: 18108 grad_norm: 3.0458 loss: 4.7867 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7846 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 2.0021 2023/01/31 17:06:26 - mmengine - INFO - Epoch(train) [30][1420/1879] lr: 8.8765e-02 eta: 2 days, 12:20:05 time: 0.5191 data_time: 0.0340 memory: 18108 grad_norm: 2.9494 loss: 4.7931 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7320 top1_acc_1: 0.5059 top5_acc_1: 0.7059 loss_cls_1: 2.0611 2023/01/31 17:06:36 - mmengine - INFO - Epoch(train) [30][1440/1879] lr: 8.8793e-02 eta: 2 days, 12:19:57 time: 0.5228 data_time: 0.0299 memory: 18108 grad_norm: 2.9540 loss: 5.0641 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.0071 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 2.0570 2023/01/31 17:06:47 - mmengine - INFO - Epoch(train) [30][1460/1879] lr: 8.8821e-02 eta: 2 days, 12:19:48 time: 0.5235 data_time: 0.0353 memory: 18108 grad_norm: 3.0040 loss: 4.8906 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8806 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0100 2023/01/31 17:06:57 - mmengine - INFO - Epoch(train) [30][1480/1879] lr: 8.8849e-02 eta: 2 days, 12:19:40 time: 0.5217 data_time: 0.0282 memory: 18108 grad_norm: 3.0294 loss: 5.0008 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.9988 top1_acc_1: 0.4941 top5_acc_1: 0.8353 loss_cls_1: 2.0020 2023/01/31 17:07:07 - mmengine - INFO - Epoch(train) [30][1500/1879] lr: 8.8878e-02 eta: 2 days, 12:19:30 time: 0.5157 data_time: 0.0362 memory: 18108 grad_norm: 3.0370 loss: 4.8054 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.7008 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 2.1046 2023/01/31 17:07:12 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 17:07:18 - mmengine - INFO - Epoch(train) [30][1520/1879] lr: 8.8906e-02 eta: 2 days, 12:19:23 time: 0.5309 data_time: 0.0300 memory: 18108 grad_norm: 3.0081 loss: 5.0898 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.0303 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 2.0594 2023/01/31 17:07:28 - mmengine - INFO - Epoch(train) [30][1540/1879] lr: 8.8934e-02 eta: 2 days, 12:19:14 time: 0.5177 data_time: 0.0360 memory: 18108 grad_norm: 2.9771 loss: 5.1728 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 3.0619 top1_acc_1: 0.4941 top5_acc_1: 0.6588 loss_cls_1: 2.1108 2023/01/31 17:07:39 - mmengine - INFO - Epoch(train) [30][1560/1879] lr: 8.8962e-02 eta: 2 days, 12:19:05 time: 0.5178 data_time: 0.0308 memory: 18108 grad_norm: 3.0019 loss: 4.9292 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9018 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 2.0274 2023/01/31 17:07:49 - mmengine - INFO - Epoch(train) [30][1580/1879] lr: 8.8990e-02 eta: 2 days, 12:18:56 time: 0.5246 data_time: 0.0455 memory: 18108 grad_norm: 2.9942 loss: 4.8574 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8055 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.0519 2023/01/31 17:08:00 - mmengine - INFO - Epoch(train) [30][1600/1879] lr: 8.9019e-02 eta: 2 days, 12:18:48 time: 0.5226 data_time: 0.0285 memory: 18108 grad_norm: 2.9995 loss: 4.8571 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.8341 top1_acc_1: 0.4588 top5_acc_1: 0.8000 loss_cls_1: 2.0230 2023/01/31 17:08:10 - mmengine - INFO - Epoch(train) [30][1620/1879] lr: 8.9047e-02 eta: 2 days, 12:18:38 time: 0.5096 data_time: 0.0374 memory: 18108 grad_norm: 3.0051 loss: 4.8339 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.8537 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9802 2023/01/31 17:08:20 - mmengine - INFO - Epoch(train) [30][1640/1879] lr: 8.9075e-02 eta: 2 days, 12:18:29 time: 0.5241 data_time: 0.0312 memory: 18108 grad_norm: 3.0047 loss: 4.9742 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8636 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.1106 2023/01/31 17:08:31 - mmengine - INFO - Epoch(train) [30][1660/1879] lr: 8.9103e-02 eta: 2 days, 12:18:21 time: 0.5203 data_time: 0.0349 memory: 18108 grad_norm: 3.0013 loss: 5.0555 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8847 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 2.1708 2023/01/31 17:08:41 - mmengine - INFO - Epoch(train) [30][1680/1879] lr: 8.9131e-02 eta: 2 days, 12:18:10 time: 0.5115 data_time: 0.0306 memory: 18108 grad_norm: 2.9772 loss: 5.0306 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8723 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 2.1583 2023/01/31 17:08:51 - mmengine - INFO - Epoch(train) [30][1700/1879] lr: 8.9159e-02 eta: 2 days, 12:17:57 time: 0.4921 data_time: 0.0354 memory: 18108 grad_norm: 3.0052 loss: 4.8977 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9034 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9942 2023/01/31 17:09:01 - mmengine - INFO - Epoch(train) [30][1720/1879] lr: 8.9188e-02 eta: 2 days, 12:17:46 time: 0.5011 data_time: 0.0367 memory: 18108 grad_norm: 3.0142 loss: 5.0619 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 3.0402 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0216 2023/01/31 17:09:11 - mmengine - INFO - Epoch(train) [30][1740/1879] lr: 8.9216e-02 eta: 2 days, 12:17:34 time: 0.5033 data_time: 0.0348 memory: 18108 grad_norm: 2.9489 loss: 4.7768 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7598 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0170 2023/01/31 17:09:21 - mmengine - INFO - Epoch(train) [30][1760/1879] lr: 8.9244e-02 eta: 2 days, 12:17:21 time: 0.4934 data_time: 0.0297 memory: 18108 grad_norm: 2.9776 loss: 4.9297 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8347 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 2.0949 2023/01/31 17:09:31 - mmengine - INFO - Epoch(train) [30][1780/1879] lr: 8.9272e-02 eta: 2 days, 12:17:11 time: 0.5097 data_time: 0.0430 memory: 18108 grad_norm: 3.0328 loss: 5.0818 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.0415 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 2.0404 2023/01/31 17:09:41 - mmengine - INFO - Epoch(train) [30][1800/1879] lr: 8.9300e-02 eta: 2 days, 12:16:59 time: 0.4997 data_time: 0.0311 memory: 18108 grad_norm: 2.9924 loss: 4.9419 top1_acc_0: 0.3125 top5_acc_0: 0.3125 loss_cls_0: 2.9311 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 2.0108 2023/01/31 17:09:51 - mmengine - INFO - Epoch(train) [30][1820/1879] lr: 8.9328e-02 eta: 2 days, 12:16:47 time: 0.4958 data_time: 0.0358 memory: 18108 grad_norm: 2.9279 loss: 4.7698 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.7830 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.9868 2023/01/31 17:10:01 - mmengine - INFO - Epoch(train) [30][1840/1879] lr: 8.9357e-02 eta: 2 days, 12:16:36 time: 0.5074 data_time: 0.0377 memory: 18108 grad_norm: 3.0325 loss: 4.7683 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7103 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 2.0580 2023/01/31 17:10:11 - mmengine - INFO - Epoch(train) [30][1860/1879] lr: 8.9385e-02 eta: 2 days, 12:16:27 time: 0.5184 data_time: 0.0361 memory: 18108 grad_norm: 3.0674 loss: 4.9829 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8273 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.1556 2023/01/31 17:10:21 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 17:10:21 - mmengine - INFO - Epoch(train) [30][1879/1879] lr: 8.9412e-02 eta: 2 days, 12:16:12 time: 0.4755 data_time: 0.0279 memory: 18108 grad_norm: 3.0598 loss: 5.1632 top1_acc_0: 0.1429 top5_acc_0: 0.5714 loss_cls_0: 3.0569 top1_acc_1: 0.5059 top5_acc_1: 0.6941 loss_cls_1: 2.1064 2023/01/31 17:10:36 - mmengine - INFO - Epoch(train) [31][ 20/1879] lr: 8.9440e-02 eta: 2 days, 12:16:33 time: 0.7169 data_time: 0.2545 memory: 18108 grad_norm: 3.0628 loss: 4.7161 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6905 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 2.0256 2023/01/31 17:10:45 - mmengine - INFO - Epoch(train) [31][ 40/1879] lr: 8.9468e-02 eta: 2 days, 12:16:17 time: 0.4702 data_time: 0.0393 memory: 18108 grad_norm: 3.0261 loss: 4.8115 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7975 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0141 2023/01/31 17:10:55 - mmengine - INFO - Epoch(train) [31][ 60/1879] lr: 8.9496e-02 eta: 2 days, 12:16:03 time: 0.4863 data_time: 0.0313 memory: 18108 grad_norm: 3.0054 loss: 4.6906 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6427 top1_acc_1: 0.4941 top5_acc_1: 0.6941 loss_cls_1: 2.0479 2023/01/31 17:11:05 - mmengine - INFO - Epoch(train) [31][ 80/1879] lr: 8.9524e-02 eta: 2 days, 12:15:54 time: 0.5223 data_time: 0.0454 memory: 18108 grad_norm: 3.0145 loss: 4.7162 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7797 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 1.9365 2023/01/31 17:11:15 - mmengine - INFO - Epoch(train) [31][ 100/1879] lr: 8.9552e-02 eta: 2 days, 12:15:41 time: 0.4882 data_time: 0.0307 memory: 18108 grad_norm: 2.9109 loss: 4.7220 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6849 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 2.0371 2023/01/31 17:11:25 - mmengine - INFO - Epoch(train) [31][ 120/1879] lr: 8.9581e-02 eta: 2 days, 12:15:27 time: 0.4879 data_time: 0.0369 memory: 18108 grad_norm: 3.0309 loss: 4.7920 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.8215 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.9705 2023/01/31 17:11:35 - mmengine - INFO - Epoch(train) [31][ 140/1879] lr: 8.9609e-02 eta: 2 days, 12:15:15 time: 0.4974 data_time: 0.0316 memory: 18108 grad_norm: 2.9924 loss: 4.8634 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8060 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0575 2023/01/31 17:11:46 - mmengine - INFO - Epoch(train) [31][ 160/1879] lr: 8.9637e-02 eta: 2 days, 12:15:16 time: 0.5865 data_time: 0.1390 memory: 18108 grad_norm: 2.9706 loss: 4.7657 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7501 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 2.0157 2023/01/31 17:11:56 - mmengine - INFO - Epoch(train) [31][ 180/1879] lr: 8.9665e-02 eta: 2 days, 12:15:02 time: 0.4859 data_time: 0.0296 memory: 18108 grad_norm: 3.0216 loss: 4.7387 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7365 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 2.0022 2023/01/31 17:12:06 - mmengine - INFO - Epoch(train) [31][ 200/1879] lr: 8.9693e-02 eta: 2 days, 12:14:49 time: 0.4901 data_time: 0.0455 memory: 18108 grad_norm: 3.0379 loss: 4.5754 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5131 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.0623 2023/01/31 17:12:16 - mmengine - INFO - Epoch(train) [31][ 220/1879] lr: 8.9722e-02 eta: 2 days, 12:14:37 time: 0.4999 data_time: 0.0305 memory: 18108 grad_norm: 2.9782 loss: 4.7179 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.7632 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.9547 2023/01/31 17:12:25 - mmengine - INFO - Epoch(train) [31][ 240/1879] lr: 8.9750e-02 eta: 2 days, 12:14:21 time: 0.4770 data_time: 0.0386 memory: 18108 grad_norm: 3.0083 loss: 4.9539 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 3.0079 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9459 2023/01/31 17:12:35 - mmengine - INFO - Epoch(train) [31][ 260/1879] lr: 8.9778e-02 eta: 2 days, 12:14:08 time: 0.4872 data_time: 0.0296 memory: 18108 grad_norm: 2.9857 loss: 4.7980 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.7307 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0673 2023/01/31 17:12:45 - mmengine - INFO - Epoch(train) [31][ 280/1879] lr: 8.9806e-02 eta: 2 days, 12:13:54 time: 0.4876 data_time: 0.0421 memory: 18108 grad_norm: 3.0113 loss: 5.0481 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.0075 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 2.0405 2023/01/31 17:12:55 - mmengine - INFO - Epoch(train) [31][ 300/1879] lr: 8.9834e-02 eta: 2 days, 12:13:40 time: 0.4882 data_time: 0.0296 memory: 18108 grad_norm: 2.9757 loss: 4.6734 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.6445 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 2.0289 2023/01/31 17:13:04 - mmengine - INFO - Epoch(train) [31][ 320/1879] lr: 8.9862e-02 eta: 2 days, 12:13:25 time: 0.4776 data_time: 0.0386 memory: 18108 grad_norm: 2.9874 loss: 4.9027 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8102 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 2.0925 2023/01/31 17:13:14 - mmengine - INFO - Epoch(train) [31][ 340/1879] lr: 8.9891e-02 eta: 2 days, 12:13:13 time: 0.4969 data_time: 0.0372 memory: 18108 grad_norm: 3.0361 loss: 4.7855 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7747 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 2.0108 2023/01/31 17:13:24 - mmengine - INFO - Epoch(train) [31][ 360/1879] lr: 8.9919e-02 eta: 2 days, 12:12:58 time: 0.4794 data_time: 0.0389 memory: 18108 grad_norm: 3.0453 loss: 5.0553 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9333 top1_acc_1: 0.4706 top5_acc_1: 0.6588 loss_cls_1: 2.1220 2023/01/31 17:13:34 - mmengine - INFO - Epoch(train) [31][ 380/1879] lr: 8.9947e-02 eta: 2 days, 12:12:45 time: 0.4935 data_time: 0.0286 memory: 18108 grad_norm: 3.0143 loss: 4.7757 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7158 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 2.0598 2023/01/31 17:13:44 - mmengine - INFO - Epoch(train) [31][ 400/1879] lr: 8.9975e-02 eta: 2 days, 12:12:31 time: 0.4893 data_time: 0.0469 memory: 18108 grad_norm: 3.0405 loss: 4.9819 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9105 top1_acc_1: 0.4471 top5_acc_1: 0.8000 loss_cls_1: 2.0715 2023/01/31 17:13:53 - mmengine - INFO - Epoch(train) [31][ 420/1879] lr: 9.0003e-02 eta: 2 days, 12:12:18 time: 0.4882 data_time: 0.0306 memory: 18108 grad_norm: 3.0064 loss: 4.8688 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.8874 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.9814 2023/01/31 17:14:08 - mmengine - INFO - Epoch(train) [31][ 440/1879] lr: 9.0031e-02 eta: 2 days, 12:12:38 time: 0.7112 data_time: 0.0388 memory: 18108 grad_norm: 3.0158 loss: 4.6791 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7571 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.9221 2023/01/31 17:14:17 - mmengine - INFO - Epoch(train) [31][ 460/1879] lr: 9.0060e-02 eta: 2 days, 12:12:25 time: 0.4932 data_time: 0.0310 memory: 18108 grad_norm: 2.9622 loss: 4.7575 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7575 top1_acc_1: 0.4588 top5_acc_1: 0.8118 loss_cls_1: 2.0000 2023/01/31 17:14:27 - mmengine - INFO - Epoch(train) [31][ 480/1879] lr: 9.0088e-02 eta: 2 days, 12:12:12 time: 0.4944 data_time: 0.0443 memory: 18108 grad_norm: 2.9964 loss: 4.5802 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.4662 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 2.1140 2023/01/31 17:14:37 - mmengine - INFO - Epoch(train) [31][ 500/1879] lr: 9.0116e-02 eta: 2 days, 12:11:58 time: 0.4826 data_time: 0.0306 memory: 18108 grad_norm: 2.9647 loss: 4.6994 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6675 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 2.0319 2023/01/31 17:14:47 - mmengine - INFO - Epoch(train) [31][ 520/1879] lr: 9.0144e-02 eta: 2 days, 12:11:45 time: 0.4946 data_time: 0.0379 memory: 18108 grad_norm: 3.0185 loss: 4.6983 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7383 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9600 2023/01/31 17:14:57 - mmengine - INFO - Epoch(train) [31][ 540/1879] lr: 9.0172e-02 eta: 2 days, 12:11:32 time: 0.4949 data_time: 0.0354 memory: 18108 grad_norm: 3.0208 loss: 4.7241 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.7184 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.0057 2023/01/31 17:15:07 - mmengine - INFO - Epoch(train) [31][ 560/1879] lr: 9.0201e-02 eta: 2 days, 12:11:19 time: 0.4893 data_time: 0.0375 memory: 18108 grad_norm: 2.9354 loss: 4.8081 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7409 top1_acc_1: 0.4235 top5_acc_1: 0.7059 loss_cls_1: 2.0672 2023/01/31 17:15:16 - mmengine - INFO - Epoch(train) [31][ 580/1879] lr: 9.0229e-02 eta: 2 days, 12:11:06 time: 0.4907 data_time: 0.0292 memory: 18108 grad_norm: 2.9316 loss: 4.8184 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7987 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.0198 2023/01/31 17:15:26 - mmengine - INFO - Epoch(train) [31][ 600/1879] lr: 9.0257e-02 eta: 2 days, 12:10:54 time: 0.5037 data_time: 0.0444 memory: 18108 grad_norm: 3.0474 loss: 5.0262 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9167 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.1096 2023/01/31 17:15:36 - mmengine - INFO - Epoch(train) [31][ 620/1879] lr: 9.0285e-02 eta: 2 days, 12:10:41 time: 0.4915 data_time: 0.0292 memory: 18108 grad_norm: 2.9263 loss: 4.7655 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7029 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 2.0626 2023/01/31 17:15:41 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 17:15:46 - mmengine - INFO - Epoch(train) [31][ 640/1879] lr: 9.0313e-02 eta: 2 days, 12:10:27 time: 0.4834 data_time: 0.0366 memory: 18108 grad_norm: 3.0257 loss: 4.5768 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6879 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.8889 2023/01/31 17:15:56 - mmengine - INFO - Epoch(train) [31][ 660/1879] lr: 9.0341e-02 eta: 2 days, 12:10:14 time: 0.4897 data_time: 0.0302 memory: 18108 grad_norm: 3.0480 loss: 4.9433 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9433 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 2.0001 2023/01/31 17:16:06 - mmengine - INFO - Epoch(train) [31][ 680/1879] lr: 9.0370e-02 eta: 2 days, 12:10:02 time: 0.4993 data_time: 0.0439 memory: 18108 grad_norm: 2.9763 loss: 4.9521 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.8592 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0929 2023/01/31 17:16:15 - mmengine - INFO - Epoch(train) [31][ 700/1879] lr: 9.0398e-02 eta: 2 days, 12:09:46 time: 0.4738 data_time: 0.0322 memory: 18108 grad_norm: 2.9636 loss: 4.9915 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.8545 top1_acc_1: 0.4588 top5_acc_1: 0.7059 loss_cls_1: 2.1369 2023/01/31 17:16:25 - mmengine - INFO - Epoch(train) [31][ 720/1879] lr: 9.0426e-02 eta: 2 days, 12:09:31 time: 0.4786 data_time: 0.0343 memory: 18108 grad_norm: 2.9407 loss: 4.7425 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6875 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 2.0549 2023/01/31 17:16:35 - mmengine - INFO - Epoch(train) [31][ 740/1879] lr: 9.0454e-02 eta: 2 days, 12:09:19 time: 0.5025 data_time: 0.0368 memory: 18108 grad_norm: 3.0234 loss: 4.8416 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7975 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 2.0441 2023/01/31 17:16:44 - mmengine - INFO - Epoch(train) [31][ 760/1879] lr: 9.0482e-02 eta: 2 days, 12:09:05 time: 0.4831 data_time: 0.0334 memory: 18108 grad_norm: 2.9771 loss: 4.8564 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8036 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.0528 2023/01/31 17:16:54 - mmengine - INFO - Epoch(train) [31][ 780/1879] lr: 9.0510e-02 eta: 2 days, 12:08:50 time: 0.4811 data_time: 0.0370 memory: 18108 grad_norm: 3.0292 loss: 4.8417 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8511 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9906 2023/01/31 17:17:04 - mmengine - INFO - Epoch(train) [31][ 800/1879] lr: 9.0539e-02 eta: 2 days, 12:08:35 time: 0.4790 data_time: 0.0333 memory: 18108 grad_norm: 2.9874 loss: 5.0094 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9562 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0532 2023/01/31 17:17:14 - mmengine - INFO - Epoch(train) [31][ 820/1879] lr: 9.0567e-02 eta: 2 days, 12:08:24 time: 0.5006 data_time: 0.0374 memory: 18108 grad_norm: 2.9400 loss: 4.7792 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7470 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.0322 2023/01/31 17:17:23 - mmengine - INFO - Epoch(train) [31][ 840/1879] lr: 9.0595e-02 eta: 2 days, 12:08:08 time: 0.4754 data_time: 0.0344 memory: 18108 grad_norm: 3.0169 loss: 4.7541 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7372 top1_acc_1: 0.4824 top5_acc_1: 0.6235 loss_cls_1: 2.0169 2023/01/31 17:17:33 - mmengine - INFO - Epoch(train) [31][ 860/1879] lr: 9.0623e-02 eta: 2 days, 12:07:54 time: 0.4857 data_time: 0.0355 memory: 18108 grad_norm: 3.0192 loss: 4.8685 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8326 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 2.0359 2023/01/31 17:17:43 - mmengine - INFO - Epoch(train) [31][ 880/1879] lr: 9.0651e-02 eta: 2 days, 12:07:41 time: 0.4915 data_time: 0.0395 memory: 18108 grad_norm: 2.9741 loss: 4.8306 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7533 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.0773 2023/01/31 17:17:52 - mmengine - INFO - Epoch(train) [31][ 900/1879] lr: 9.0680e-02 eta: 2 days, 12:07:27 time: 0.4837 data_time: 0.0332 memory: 18108 grad_norm: 2.9801 loss: 4.5057 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5332 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9724 2023/01/31 17:18:02 - mmengine - INFO - Epoch(train) [31][ 920/1879] lr: 9.0708e-02 eta: 2 days, 12:07:11 time: 0.4745 data_time: 0.0341 memory: 18108 grad_norm: 3.0377 loss: 4.8565 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.8752 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.9813 2023/01/31 17:18:12 - mmengine - INFO - Epoch(train) [31][ 940/1879] lr: 9.0736e-02 eta: 2 days, 12:06:56 time: 0.4775 data_time: 0.0353 memory: 18108 grad_norm: 3.0593 loss: 4.8871 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.8342 top1_acc_1: 0.4471 top5_acc_1: 0.6706 loss_cls_1: 2.0529 2023/01/31 17:18:21 - mmengine - INFO - Epoch(train) [31][ 960/1879] lr: 9.0764e-02 eta: 2 days, 12:06:44 time: 0.4950 data_time: 0.0409 memory: 18108 grad_norm: 2.9670 loss: 5.1394 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.0191 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.1203 2023/01/31 17:18:31 - mmengine - INFO - Epoch(train) [31][ 980/1879] lr: 9.0792e-02 eta: 2 days, 12:06:30 time: 0.4881 data_time: 0.0363 memory: 18108 grad_norm: 3.0071 loss: 4.5967 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6254 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.9713 2023/01/31 17:18:41 - mmengine - INFO - Epoch(train) [31][1000/1879] lr: 9.0820e-02 eta: 2 days, 12:06:16 time: 0.4851 data_time: 0.0333 memory: 18108 grad_norm: 3.0041 loss: 5.1732 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 3.1297 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 2.0436 2023/01/31 17:18:51 - mmengine - INFO - Epoch(train) [31][1020/1879] lr: 9.0849e-02 eta: 2 days, 12:06:04 time: 0.4973 data_time: 0.0363 memory: 18108 grad_norm: 2.9768 loss: 5.0497 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8994 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.1503 2023/01/31 17:19:00 - mmengine - INFO - Epoch(train) [31][1040/1879] lr: 9.0877e-02 eta: 2 days, 12:05:49 time: 0.4774 data_time: 0.0336 memory: 18108 grad_norm: 3.0072 loss: 5.1826 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.0509 top1_acc_1: 0.3647 top5_acc_1: 0.5529 loss_cls_1: 2.1317 2023/01/31 17:19:10 - mmengine - INFO - Epoch(train) [31][1060/1879] lr: 9.0905e-02 eta: 2 days, 12:05:36 time: 0.4916 data_time: 0.0359 memory: 18108 grad_norm: 2.9505 loss: 4.8982 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8297 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0685 2023/01/31 17:19:20 - mmengine - INFO - Epoch(train) [31][1080/1879] lr: 9.0933e-02 eta: 2 days, 12:05:24 time: 0.4966 data_time: 0.0324 memory: 18108 grad_norm: 2.9975 loss: 4.7744 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7315 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 2.0429 2023/01/31 17:19:30 - mmengine - INFO - Epoch(train) [31][1100/1879] lr: 9.0961e-02 eta: 2 days, 12:05:13 time: 0.5119 data_time: 0.0339 memory: 18108 grad_norm: 3.0532 loss: 5.1344 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.0459 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 2.0884 2023/01/31 17:19:40 - mmengine - INFO - Epoch(train) [31][1120/1879] lr: 9.0989e-02 eta: 2 days, 12:05:00 time: 0.4878 data_time: 0.0338 memory: 18108 grad_norm: 2.9647 loss: 5.1979 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.0713 top1_acc_1: 0.6471 top5_acc_1: 0.7412 loss_cls_1: 2.1266 2023/01/31 17:19:50 - mmengine - INFO - Epoch(train) [31][1140/1879] lr: 9.1018e-02 eta: 2 days, 12:04:49 time: 0.5051 data_time: 0.0370 memory: 18108 grad_norm: 3.0017 loss: 4.7463 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6098 top1_acc_1: 0.5059 top5_acc_1: 0.6941 loss_cls_1: 2.1365 2023/01/31 17:20:00 - mmengine - INFO - Epoch(train) [31][1160/1879] lr: 9.1046e-02 eta: 2 days, 12:04:36 time: 0.4957 data_time: 0.0340 memory: 18108 grad_norm: 2.9685 loss: 4.8741 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7974 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 2.0767 2023/01/31 17:20:10 - mmengine - INFO - Epoch(train) [31][1180/1879] lr: 9.1074e-02 eta: 2 days, 12:04:25 time: 0.4990 data_time: 0.0375 memory: 18108 grad_norm: 2.9946 loss: 4.7899 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8308 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9591 2023/01/31 17:20:20 - mmengine - INFO - Epoch(train) [31][1200/1879] lr: 9.1102e-02 eta: 2 days, 12:04:12 time: 0.4926 data_time: 0.0319 memory: 18108 grad_norm: 3.0470 loss: 4.9687 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8950 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.0736 2023/01/31 17:20:30 - mmengine - INFO - Epoch(train) [31][1220/1879] lr: 9.1130e-02 eta: 2 days, 12:03:59 time: 0.4928 data_time: 0.0348 memory: 18108 grad_norm: 3.0097 loss: 5.1236 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.0861 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 2.0375 2023/01/31 17:20:40 - mmengine - INFO - Epoch(train) [31][1240/1879] lr: 9.1158e-02 eta: 2 days, 12:03:47 time: 0.4966 data_time: 0.0410 memory: 18108 grad_norm: 2.9371 loss: 4.7951 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6297 top1_acc_1: 0.4824 top5_acc_1: 0.7882 loss_cls_1: 2.1654 2023/01/31 17:20:50 - mmengine - INFO - Epoch(train) [31][1260/1879] lr: 9.1187e-02 eta: 2 days, 12:03:34 time: 0.4932 data_time: 0.0367 memory: 18108 grad_norm: 3.0187 loss: 4.9055 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8526 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 2.0528 2023/01/31 17:20:59 - mmengine - INFO - Epoch(train) [31][1280/1879] lr: 9.1215e-02 eta: 2 days, 12:03:19 time: 0.4827 data_time: 0.0339 memory: 18108 grad_norm: 2.9940 loss: 5.1019 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9862 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 2.1157 2023/01/31 17:21:09 - mmengine - INFO - Epoch(train) [31][1300/1879] lr: 9.1243e-02 eta: 2 days, 12:03:06 time: 0.4890 data_time: 0.0361 memory: 18108 grad_norm: 2.9277 loss: 5.0349 top1_acc_0: 0.0625 top5_acc_0: 0.5000 loss_cls_0: 3.0232 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0117 2023/01/31 17:21:19 - mmengine - INFO - Epoch(train) [31][1320/1879] lr: 9.1271e-02 eta: 2 days, 12:02:52 time: 0.4828 data_time: 0.0417 memory: 18108 grad_norm: 2.9707 loss: 4.9868 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8623 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.1245 2023/01/31 17:21:29 - mmengine - INFO - Epoch(train) [31][1340/1879] lr: 9.1299e-02 eta: 2 days, 12:02:38 time: 0.4889 data_time: 0.0351 memory: 18108 grad_norm: 2.9169 loss: 5.0741 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0159 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.0581 2023/01/31 17:21:38 - mmengine - INFO - Epoch(train) [31][1360/1879] lr: 9.1328e-02 eta: 2 days, 12:02:24 time: 0.4806 data_time: 0.0368 memory: 18108 grad_norm: 2.9154 loss: 4.5226 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6059 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9167 2023/01/31 17:21:48 - mmengine - INFO - Epoch(train) [31][1380/1879] lr: 9.1356e-02 eta: 2 days, 12:02:10 time: 0.4881 data_time: 0.0422 memory: 18108 grad_norm: 2.9585 loss: 4.9948 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9167 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 2.0782 2023/01/31 17:21:57 - mmengine - INFO - Epoch(train) [31][1400/1879] lr: 9.1384e-02 eta: 2 days, 12:01:55 time: 0.4740 data_time: 0.0337 memory: 18108 grad_norm: 2.9929 loss: 4.8973 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9045 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.9929 2023/01/31 17:22:07 - mmengine - INFO - Epoch(train) [31][1420/1879] lr: 9.1412e-02 eta: 2 days, 12:01:43 time: 0.5019 data_time: 0.0358 memory: 18108 grad_norm: 3.0000 loss: 5.1505 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 3.0085 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.1420 2023/01/31 17:22:17 - mmengine - INFO - Epoch(train) [31][1440/1879] lr: 9.1440e-02 eta: 2 days, 12:01:28 time: 0.4780 data_time: 0.0342 memory: 18108 grad_norm: 2.9303 loss: 4.7984 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.7503 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 2.0481 2023/01/31 17:22:27 - mmengine - INFO - Epoch(train) [31][1460/1879] lr: 9.1468e-02 eta: 2 days, 12:01:15 time: 0.4901 data_time: 0.0420 memory: 18108 grad_norm: 2.8858 loss: 4.8457 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8387 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 2.0070 2023/01/31 17:22:36 - mmengine - INFO - Epoch(train) [31][1480/1879] lr: 9.1497e-02 eta: 2 days, 12:01:00 time: 0.4766 data_time: 0.0351 memory: 18108 grad_norm: 2.9593 loss: 4.6732 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6411 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.0321 2023/01/31 17:22:46 - mmengine - INFO - Epoch(train) [31][1500/1879] lr: 9.1525e-02 eta: 2 days, 12:00:48 time: 0.5008 data_time: 0.0369 memory: 18108 grad_norm: 3.0270 loss: 4.9970 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8827 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.1143 2023/01/31 17:22:56 - mmengine - INFO - Epoch(train) [31][1520/1879] lr: 9.1553e-02 eta: 2 days, 12:00:33 time: 0.4782 data_time: 0.0342 memory: 18108 grad_norm: 2.9552 loss: 4.8613 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8180 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0433 2023/01/31 17:23:06 - mmengine - INFO - Epoch(train) [31][1540/1879] lr: 9.1581e-02 eta: 2 days, 12:00:19 time: 0.4812 data_time: 0.0419 memory: 18108 grad_norm: 2.9842 loss: 4.8642 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8044 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.0598 2023/01/31 17:23:16 - mmengine - INFO - Epoch(train) [31][1560/1879] lr: 9.1609e-02 eta: 2 days, 12:00:07 time: 0.4973 data_time: 0.0338 memory: 18108 grad_norm: 2.9781 loss: 5.1614 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9754 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 2.1860 2023/01/31 17:23:25 - mmengine - INFO - Epoch(train) [31][1580/1879] lr: 9.1637e-02 eta: 2 days, 11:59:52 time: 0.4778 data_time: 0.0347 memory: 18108 grad_norm: 3.0065 loss: 4.7424 top1_acc_0: 0.0625 top5_acc_0: 0.5000 loss_cls_0: 2.6113 top1_acc_1: 0.4588 top5_acc_1: 0.6824 loss_cls_1: 2.1312 2023/01/31 17:23:35 - mmengine - INFO - Epoch(train) [31][1600/1879] lr: 9.1666e-02 eta: 2 days, 11:59:38 time: 0.4866 data_time: 0.0417 memory: 18108 grad_norm: 2.9418 loss: 5.0549 top1_acc_0: 0.0625 top5_acc_0: 0.5000 loss_cls_0: 3.0194 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0355 2023/01/31 17:23:44 - mmengine - INFO - Epoch(train) [31][1620/1879] lr: 9.1694e-02 eta: 2 days, 11:59:23 time: 0.4791 data_time: 0.0348 memory: 18108 grad_norm: 2.9922 loss: 4.9860 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.9424 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.0436 2023/01/31 17:23:50 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 17:23:54 - mmengine - INFO - Epoch(train) [31][1640/1879] lr: 9.1722e-02 eta: 2 days, 11:59:10 time: 0.4904 data_time: 0.0320 memory: 18108 grad_norm: 2.9432 loss: 4.8871 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8060 top1_acc_1: 0.4353 top5_acc_1: 0.6588 loss_cls_1: 2.0810 2023/01/31 17:24:04 - mmengine - INFO - Epoch(train) [31][1660/1879] lr: 9.1750e-02 eta: 2 days, 11:58:57 time: 0.4939 data_time: 0.0429 memory: 18108 grad_norm: 2.9222 loss: 5.0119 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9056 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.1063 2023/01/31 17:24:14 - mmengine - INFO - Epoch(train) [31][1680/1879] lr: 9.1778e-02 eta: 2 days, 11:58:42 time: 0.4773 data_time: 0.0323 memory: 18108 grad_norm: 2.9682 loss: 5.0831 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.9181 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.1649 2023/01/31 17:24:24 - mmengine - INFO - Epoch(train) [31][1700/1879] lr: 9.1807e-02 eta: 2 days, 11:58:30 time: 0.4963 data_time: 0.0354 memory: 18108 grad_norm: 2.9702 loss: 4.7912 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7216 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 2.0697 2023/01/31 17:24:33 - mmengine - INFO - Epoch(train) [31][1720/1879] lr: 9.1835e-02 eta: 2 days, 11:58:16 time: 0.4837 data_time: 0.0339 memory: 18108 grad_norm: 3.0026 loss: 5.1494 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9883 top1_acc_1: 0.4353 top5_acc_1: 0.6471 loss_cls_1: 2.1611 2023/01/31 17:24:44 - mmengine - INFO - Epoch(train) [31][1740/1879] lr: 9.1863e-02 eta: 2 days, 11:58:07 time: 0.5169 data_time: 0.0464 memory: 18108 grad_norm: 2.9617 loss: 4.8137 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7446 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 2.0690 2023/01/31 17:24:53 - mmengine - INFO - Epoch(train) [31][1760/1879] lr: 9.1891e-02 eta: 2 days, 11:57:51 time: 0.4753 data_time: 0.0339 memory: 18108 grad_norm: 2.9530 loss: 4.7859 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7642 top1_acc_1: 0.5412 top5_acc_1: 0.7059 loss_cls_1: 2.0217 2023/01/31 17:25:03 - mmengine - INFO - Epoch(train) [31][1780/1879] lr: 9.1919e-02 eta: 2 days, 11:57:38 time: 0.4934 data_time: 0.0349 memory: 18108 grad_norm: 2.9850 loss: 5.1389 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.1210 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.0178 2023/01/31 17:25:13 - mmengine - INFO - Epoch(train) [31][1800/1879] lr: 9.1947e-02 eta: 2 days, 11:57:25 time: 0.4862 data_time: 0.0340 memory: 18108 grad_norm: 2.9931 loss: 4.8742 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8363 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 2.0379 2023/01/31 17:25:23 - mmengine - INFO - Epoch(train) [31][1820/1879] lr: 9.1976e-02 eta: 2 days, 11:57:13 time: 0.4984 data_time: 0.0413 memory: 18108 grad_norm: 2.9824 loss: 4.9778 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8409 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.1369 2023/01/31 17:25:32 - mmengine - INFO - Epoch(train) [31][1840/1879] lr: 9.2004e-02 eta: 2 days, 11:56:59 time: 0.4879 data_time: 0.0318 memory: 18108 grad_norm: 2.9332 loss: 4.8650 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8231 top1_acc_1: 0.4353 top5_acc_1: 0.6706 loss_cls_1: 2.0419 2023/01/31 17:25:42 - mmengine - INFO - Epoch(train) [31][1860/1879] lr: 9.2032e-02 eta: 2 days, 11:56:46 time: 0.4920 data_time: 0.0363 memory: 18108 grad_norm: 2.9191 loss: 4.7879 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7196 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.0684 2023/01/31 17:25:52 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 17:25:52 - mmengine - INFO - Epoch(train) [31][1879/1879] lr: 9.2059e-02 eta: 2 days, 11:56:33 time: 0.4827 data_time: 0.0391 memory: 18108 grad_norm: 3.0150 loss: 4.8084 top1_acc_0: 0.2857 top5_acc_0: 0.4286 loss_cls_0: 2.7496 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.0588 2023/01/31 17:26:07 - mmengine - INFO - Epoch(train) [32][ 20/1879] lr: 9.2087e-02 eta: 2 days, 11:56:52 time: 0.7128 data_time: 0.2570 memory: 18108 grad_norm: 2.9356 loss: 4.8019 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.8685 top1_acc_1: 0.4941 top5_acc_1: 0.8235 loss_cls_1: 1.9334 2023/01/31 17:26:16 - mmengine - INFO - Epoch(train) [32][ 40/1879] lr: 9.2115e-02 eta: 2 days, 11:56:36 time: 0.4682 data_time: 0.0317 memory: 18108 grad_norm: 2.9363 loss: 4.6349 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.5540 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 2.0809 2023/01/31 17:26:26 - mmengine - INFO - Epoch(train) [32][ 60/1879] lr: 9.2143e-02 eta: 2 days, 11:56:22 time: 0.4837 data_time: 0.0385 memory: 18108 grad_norm: 2.9647 loss: 4.7353 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7238 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 2.0114 2023/01/31 17:26:36 - mmengine - INFO - Epoch(train) [32][ 80/1879] lr: 9.2171e-02 eta: 2 days, 11:56:13 time: 0.5246 data_time: 0.0420 memory: 18108 grad_norm: 2.9659 loss: 4.7429 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.7389 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.0040 2023/01/31 17:26:46 - mmengine - INFO - Epoch(train) [32][ 100/1879] lr: 9.2200e-02 eta: 2 days, 11:56:00 time: 0.4859 data_time: 0.0339 memory: 18108 grad_norm: 2.9644 loss: 4.5626 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6202 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.9424 2023/01/31 17:26:55 - mmengine - INFO - Epoch(train) [32][ 120/1879] lr: 9.2228e-02 eta: 2 days, 11:55:44 time: 0.4750 data_time: 0.0332 memory: 18108 grad_norm: 2.9840 loss: 4.7154 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7543 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.9610 2023/01/31 17:27:05 - mmengine - INFO - Epoch(train) [32][ 140/1879] lr: 9.2256e-02 eta: 2 days, 11:55:34 time: 0.5102 data_time: 0.0344 memory: 18108 grad_norm: 2.9622 loss: 4.8068 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8221 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9847 2023/01/31 17:27:15 - mmengine - INFO - Epoch(train) [32][ 160/1879] lr: 9.2284e-02 eta: 2 days, 11:55:21 time: 0.4881 data_time: 0.0321 memory: 18108 grad_norm: 2.9599 loss: 4.9088 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9040 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 2.0047 2023/01/31 17:27:25 - mmengine - INFO - Epoch(train) [32][ 180/1879] lr: 9.2312e-02 eta: 2 days, 11:55:07 time: 0.4849 data_time: 0.0374 memory: 18108 grad_norm: 2.9729 loss: 4.6000 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5862 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.0138 2023/01/31 17:27:34 - mmengine - INFO - Epoch(train) [32][ 200/1879] lr: 9.2340e-02 eta: 2 days, 11:54:51 time: 0.4723 data_time: 0.0335 memory: 18108 grad_norm: 2.9658 loss: 4.9629 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8619 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 2.1010 2023/01/31 17:27:45 - mmengine - INFO - Epoch(train) [32][ 220/1879] lr: 9.2369e-02 eta: 2 days, 11:54:42 time: 0.5162 data_time: 0.0418 memory: 18108 grad_norm: 2.9880 loss: 4.9044 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.9013 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 2.0031 2023/01/31 17:27:54 - mmengine - INFO - Epoch(train) [32][ 240/1879] lr: 9.2397e-02 eta: 2 days, 11:54:28 time: 0.4845 data_time: 0.0341 memory: 18108 grad_norm: 2.9416 loss: 5.0943 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.1053 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.9890 2023/01/31 17:28:04 - mmengine - INFO - Epoch(train) [32][ 260/1879] lr: 9.2425e-02 eta: 2 days, 11:54:14 time: 0.4845 data_time: 0.0372 memory: 18108 grad_norm: 2.9501 loss: 4.8514 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8331 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 2.0183 2023/01/31 17:28:14 - mmengine - INFO - Epoch(train) [32][ 280/1879] lr: 9.2453e-02 eta: 2 days, 11:54:01 time: 0.4935 data_time: 0.0339 memory: 18108 grad_norm: 2.9772 loss: 4.8839 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8197 top1_acc_1: 0.5647 top5_acc_1: 0.6941 loss_cls_1: 2.0642 2023/01/31 17:28:24 - mmengine - INFO - Epoch(train) [32][ 300/1879] lr: 9.2481e-02 eta: 2 days, 11:53:50 time: 0.5054 data_time: 0.0405 memory: 18108 grad_norm: 3.0144 loss: 4.6772 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6169 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 2.0603 2023/01/31 17:28:34 - mmengine - INFO - Epoch(train) [32][ 320/1879] lr: 9.2510e-02 eta: 2 days, 11:53:38 time: 0.4956 data_time: 0.0332 memory: 18108 grad_norm: 2.9813 loss: 4.7615 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7792 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9822 2023/01/31 17:28:44 - mmengine - INFO - Epoch(train) [32][ 340/1879] lr: 9.2538e-02 eta: 2 days, 11:53:26 time: 0.4970 data_time: 0.0346 memory: 18108 grad_norm: 2.9954 loss: 4.8500 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7989 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0511 2023/01/31 17:28:54 - mmengine - INFO - Epoch(train) [32][ 360/1879] lr: 9.2566e-02 eta: 2 days, 11:53:14 time: 0.5028 data_time: 0.0327 memory: 18108 grad_norm: 3.0033 loss: 5.0484 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9542 top1_acc_1: 0.4706 top5_acc_1: 0.6941 loss_cls_1: 2.0942 2023/01/31 17:29:04 - mmengine - INFO - Epoch(train) [32][ 380/1879] lr: 9.2594e-02 eta: 2 days, 11:53:05 time: 0.5178 data_time: 0.0358 memory: 18108 grad_norm: 3.0179 loss: 4.8484 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7846 top1_acc_1: 0.4471 top5_acc_1: 0.6824 loss_cls_1: 2.0638 2023/01/31 17:29:17 - mmengine - INFO - Epoch(train) [32][ 400/1879] lr: 9.2622e-02 eta: 2 days, 11:53:10 time: 0.6158 data_time: 0.0330 memory: 18108 grad_norm: 2.9794 loss: 4.8147 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6326 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 2.1821 2023/01/31 17:29:27 - mmengine - INFO - Epoch(train) [32][ 420/1879] lr: 9.2650e-02 eta: 2 days, 11:53:01 time: 0.5204 data_time: 0.0357 memory: 18108 grad_norm: 2.9650 loss: 4.6747 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7328 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.9419 2023/01/31 17:29:37 - mmengine - INFO - Epoch(train) [32][ 440/1879] lr: 9.2679e-02 eta: 2 days, 11:52:51 time: 0.5088 data_time: 0.0404 memory: 18108 grad_norm: 2.9704 loss: 4.6798 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6181 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0618 2023/01/31 17:29:48 - mmengine - INFO - Epoch(train) [32][ 460/1879] lr: 9.2707e-02 eta: 2 days, 11:52:41 time: 0.5122 data_time: 0.0347 memory: 18108 grad_norm: 2.9970 loss: 5.0753 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 3.0641 top1_acc_1: 0.5294 top5_acc_1: 0.8588 loss_cls_1: 2.0113 2023/01/31 17:29:58 - mmengine - INFO - Epoch(train) [32][ 480/1879] lr: 9.2735e-02 eta: 2 days, 11:52:31 time: 0.5118 data_time: 0.0324 memory: 18108 grad_norm: 3.0076 loss: 4.7148 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7608 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.9540 2023/01/31 17:30:08 - mmengine - INFO - Epoch(train) [32][ 500/1879] lr: 9.2763e-02 eta: 2 days, 11:52:22 time: 0.5159 data_time: 0.0335 memory: 18108 grad_norm: 2.9868 loss: 4.9206 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.8621 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 2.0585 2023/01/31 17:30:18 - mmengine - INFO - Epoch(train) [32][ 520/1879] lr: 9.2791e-02 eta: 2 days, 11:52:10 time: 0.4999 data_time: 0.0392 memory: 18108 grad_norm: 2.9880 loss: 4.8509 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7779 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.0730 2023/01/31 17:30:28 - mmengine - INFO - Epoch(train) [32][ 540/1879] lr: 9.2819e-02 eta: 2 days, 11:51:59 time: 0.5055 data_time: 0.0346 memory: 18108 grad_norm: 2.9542 loss: 4.7438 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.7695 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 1.9743 2023/01/31 17:30:39 - mmengine - INFO - Epoch(train) [32][ 560/1879] lr: 9.2848e-02 eta: 2 days, 11:51:50 time: 0.5173 data_time: 0.0327 memory: 18108 grad_norm: 2.9774 loss: 4.9320 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.9858 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.9462 2023/01/31 17:30:49 - mmengine - INFO - Epoch(train) [32][ 580/1879] lr: 9.2876e-02 eta: 2 days, 11:51:40 time: 0.5170 data_time: 0.0415 memory: 18108 grad_norm: 2.9556 loss: 4.9008 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8925 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0084 2023/01/31 17:30:59 - mmengine - INFO - Epoch(train) [32][ 600/1879] lr: 9.2904e-02 eta: 2 days, 11:51:28 time: 0.4920 data_time: 0.0314 memory: 18108 grad_norm: 2.9886 loss: 5.0102 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9268 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 2.0834 2023/01/31 17:31:09 - mmengine - INFO - Epoch(train) [32][ 620/1879] lr: 9.2932e-02 eta: 2 days, 11:51:19 time: 0.5207 data_time: 0.0342 memory: 18108 grad_norm: 2.9920 loss: 4.8876 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.8503 top1_acc_1: 0.5059 top5_acc_1: 0.6706 loss_cls_1: 2.0372 2023/01/31 17:31:19 - mmengine - INFO - Epoch(train) [32][ 640/1879] lr: 9.2960e-02 eta: 2 days, 11:51:07 time: 0.5021 data_time: 0.0331 memory: 18108 grad_norm: 2.9570 loss: 4.9638 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.9063 top1_acc_1: 0.5059 top5_acc_1: 0.8235 loss_cls_1: 2.0575 2023/01/31 17:31:29 - mmengine - INFO - Epoch(train) [32][ 660/1879] lr: 9.2988e-02 eta: 2 days, 11:50:55 time: 0.4967 data_time: 0.0339 memory: 18108 grad_norm: 2.9859 loss: 5.0772 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9070 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.1702 2023/01/31 17:31:39 - mmengine - INFO - Epoch(train) [32][ 680/1879] lr: 9.3017e-02 eta: 2 days, 11:50:44 time: 0.5033 data_time: 0.0307 memory: 18108 grad_norm: 2.9615 loss: 5.0254 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9564 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0690 2023/01/31 17:31:50 - mmengine - INFO - Epoch(train) [32][ 700/1879] lr: 9.3045e-02 eta: 2 days, 11:50:36 time: 0.5275 data_time: 0.0319 memory: 18108 grad_norm: 2.9699 loss: 4.8898 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.9799 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.9099 2023/01/31 17:32:00 - mmengine - INFO - Epoch(train) [32][ 720/1879] lr: 9.3073e-02 eta: 2 days, 11:50:26 time: 0.5120 data_time: 0.0432 memory: 18108 grad_norm: 2.9602 loss: 5.1560 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 3.0665 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 2.0895 2023/01/31 17:32:10 - mmengine - INFO - Epoch(train) [32][ 740/1879] lr: 9.3101e-02 eta: 2 days, 11:50:16 time: 0.5086 data_time: 0.0304 memory: 18108 grad_norm: 2.9652 loss: 4.6916 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6377 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 2.0539 2023/01/31 17:32:16 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 17:32:21 - mmengine - INFO - Epoch(train) [32][ 760/1879] lr: 9.3129e-02 eta: 2 days, 11:50:07 time: 0.5207 data_time: 0.0393 memory: 18108 grad_norm: 2.9591 loss: 4.8929 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.7664 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.1265 2023/01/31 17:32:31 - mmengine - INFO - Epoch(train) [32][ 780/1879] lr: 9.3158e-02 eta: 2 days, 11:49:59 time: 0.5235 data_time: 0.0292 memory: 18108 grad_norm: 3.0208 loss: 5.2289 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 3.0816 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.1473 2023/01/31 17:32:41 - mmengine - INFO - Epoch(train) [32][ 800/1879] lr: 9.3186e-02 eta: 2 days, 11:49:49 time: 0.5127 data_time: 0.0444 memory: 18108 grad_norm: 2.9814 loss: 4.7079 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6699 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 2.0381 2023/01/31 17:32:52 - mmengine - INFO - Epoch(train) [32][ 820/1879] lr: 9.3214e-02 eta: 2 days, 11:49:41 time: 0.5243 data_time: 0.0282 memory: 18108 grad_norm: 2.9870 loss: 4.9475 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8583 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.0892 2023/01/31 17:33:02 - mmengine - INFO - Epoch(train) [32][ 840/1879] lr: 9.3242e-02 eta: 2 days, 11:49:31 time: 0.5150 data_time: 0.0352 memory: 18108 grad_norm: 2.9689 loss: 4.9659 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8046 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.1613 2023/01/31 17:33:12 - mmengine - INFO - Epoch(train) [32][ 860/1879] lr: 9.3270e-02 eta: 2 days, 11:49:22 time: 0.5157 data_time: 0.0370 memory: 18108 grad_norm: 2.9375 loss: 4.8286 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7870 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 2.0416 2023/01/31 17:33:23 - mmengine - INFO - Epoch(train) [32][ 880/1879] lr: 9.3298e-02 eta: 2 days, 11:49:12 time: 0.5113 data_time: 0.0396 memory: 18108 grad_norm: 2.9642 loss: 4.7375 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7036 top1_acc_1: 0.5176 top5_acc_1: 0.6941 loss_cls_1: 2.0339 2023/01/31 17:33:33 - mmengine - INFO - Epoch(train) [32][ 900/1879] lr: 9.3327e-02 eta: 2 days, 11:49:04 time: 0.5303 data_time: 0.0297 memory: 18108 grad_norm: 2.9848 loss: 4.5397 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5662 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9736 2023/01/31 17:33:44 - mmengine - INFO - Epoch(train) [32][ 920/1879] lr: 9.3355e-02 eta: 2 days, 11:48:54 time: 0.5095 data_time: 0.0418 memory: 18108 grad_norm: 3.0353 loss: 4.9817 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8432 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 2.1385 2023/01/31 17:33:54 - mmengine - INFO - Epoch(train) [32][ 940/1879] lr: 9.3383e-02 eta: 2 days, 11:48:42 time: 0.5018 data_time: 0.0316 memory: 18108 grad_norm: 2.9512 loss: 4.8743 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.8317 top1_acc_1: 0.4824 top5_acc_1: 0.7882 loss_cls_1: 2.0427 2023/01/31 17:34:04 - mmengine - INFO - Epoch(train) [32][ 960/1879] lr: 9.3411e-02 eta: 2 days, 11:48:33 time: 0.5145 data_time: 0.0354 memory: 18108 grad_norm: 2.9255 loss: 4.8891 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.8303 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 2.0588 2023/01/31 17:34:14 - mmengine - INFO - Epoch(train) [32][ 980/1879] lr: 9.3439e-02 eta: 2 days, 11:48:24 time: 0.5190 data_time: 0.0343 memory: 18108 grad_norm: 2.9503 loss: 4.8654 top1_acc_0: 0.0625 top5_acc_0: 0.5625 loss_cls_0: 2.8618 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 2.0036 2023/01/31 17:34:24 - mmengine - INFO - Epoch(train) [32][1000/1879] lr: 9.3467e-02 eta: 2 days, 11:48:13 time: 0.5040 data_time: 0.0350 memory: 18108 grad_norm: 2.9806 loss: 4.7963 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8125 top1_acc_1: 0.5765 top5_acc_1: 0.7176 loss_cls_1: 1.9837 2023/01/31 17:34:35 - mmengine - INFO - Epoch(train) [32][1020/1879] lr: 9.3496e-02 eta: 2 days, 11:48:02 time: 0.5084 data_time: 0.0287 memory: 18108 grad_norm: 3.0004 loss: 4.8562 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.7420 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.1143 2023/01/31 17:34:45 - mmengine - INFO - Epoch(train) [32][1040/1879] lr: 9.3524e-02 eta: 2 days, 11:47:53 time: 0.5145 data_time: 0.0358 memory: 18108 grad_norm: 3.0002 loss: 4.5876 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5668 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 2.0208 2023/01/31 17:34:55 - mmengine - INFO - Epoch(train) [32][1060/1879] lr: 9.3552e-02 eta: 2 days, 11:47:41 time: 0.5006 data_time: 0.0289 memory: 18108 grad_norm: 2.9797 loss: 4.9205 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8560 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.0646 2023/01/31 17:35:05 - mmengine - INFO - Epoch(train) [32][1080/1879] lr: 9.3580e-02 eta: 2 days, 11:47:31 time: 0.5119 data_time: 0.0370 memory: 18108 grad_norm: 2.9365 loss: 4.9077 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7624 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.1453 2023/01/31 17:35:15 - mmengine - INFO - Epoch(train) [32][1100/1879] lr: 9.3608e-02 eta: 2 days, 11:47:20 time: 0.5057 data_time: 0.0277 memory: 18108 grad_norm: 2.9393 loss: 4.7403 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7869 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9533 2023/01/31 17:35:25 - mmengine - INFO - Epoch(train) [32][1120/1879] lr: 9.3637e-02 eta: 2 days, 11:47:09 time: 0.5077 data_time: 0.0378 memory: 18108 grad_norm: 3.0210 loss: 4.8948 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.8682 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.0266 2023/01/31 17:35:35 - mmengine - INFO - Epoch(train) [32][1140/1879] lr: 9.3665e-02 eta: 2 days, 11:46:59 time: 0.5055 data_time: 0.0315 memory: 18108 grad_norm: 2.9579 loss: 4.7726 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7151 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 2.0575 2023/01/31 17:35:45 - mmengine - INFO - Epoch(train) [32][1160/1879] lr: 9.3693e-02 eta: 2 days, 11:46:47 time: 0.4986 data_time: 0.0340 memory: 18108 grad_norm: 2.9460 loss: 4.8274 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7319 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 2.0955 2023/01/31 17:35:55 - mmengine - INFO - Epoch(train) [32][1180/1879] lr: 9.3721e-02 eta: 2 days, 11:46:35 time: 0.5019 data_time: 0.0418 memory: 18108 grad_norm: 2.9608 loss: 5.2731 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.1305 top1_acc_1: 0.4588 top5_acc_1: 0.6706 loss_cls_1: 2.1426 2023/01/31 17:36:05 - mmengine - INFO - Epoch(train) [32][1200/1879] lr: 9.3749e-02 eta: 2 days, 11:46:22 time: 0.4908 data_time: 0.0354 memory: 18108 grad_norm: 2.9435 loss: 4.6954 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6289 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 2.0665 2023/01/31 17:36:16 - mmengine - INFO - Epoch(train) [32][1220/1879] lr: 9.3777e-02 eta: 2 days, 11:46:12 time: 0.5117 data_time: 0.0327 memory: 18108 grad_norm: 2.9349 loss: 4.6956 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.7334 top1_acc_1: 0.4353 top5_acc_1: 0.7882 loss_cls_1: 1.9621 2023/01/31 17:36:26 - mmengine - INFO - Epoch(train) [32][1240/1879] lr: 9.3806e-02 eta: 2 days, 11:46:01 time: 0.5042 data_time: 0.0408 memory: 18108 grad_norm: 2.9712 loss: 4.8409 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7444 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.0965 2023/01/31 17:36:36 - mmengine - INFO - Epoch(train) [32][1260/1879] lr: 9.3834e-02 eta: 2 days, 11:45:50 time: 0.5040 data_time: 0.0325 memory: 18108 grad_norm: 2.9158 loss: 5.1959 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0221 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.1737 2023/01/31 17:36:46 - mmengine - INFO - Epoch(train) [32][1280/1879] lr: 9.3862e-02 eta: 2 days, 11:45:38 time: 0.4988 data_time: 0.0365 memory: 18108 grad_norm: 2.9105 loss: 4.8032 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8280 top1_acc_1: 0.5176 top5_acc_1: 0.8588 loss_cls_1: 1.9752 2023/01/31 17:36:56 - mmengine - INFO - Epoch(train) [32][1300/1879] lr: 9.3890e-02 eta: 2 days, 11:45:26 time: 0.4954 data_time: 0.0336 memory: 18108 grad_norm: 2.9687 loss: 4.8588 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.7563 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 2.1026 2023/01/31 17:37:06 - mmengine - INFO - Epoch(train) [32][1320/1879] lr: 9.3918e-02 eta: 2 days, 11:45:15 time: 0.5040 data_time: 0.0416 memory: 18108 grad_norm: 2.9721 loss: 4.7442 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7591 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.9851 2023/01/31 17:37:16 - mmengine - INFO - Epoch(train) [32][1340/1879] lr: 9.3946e-02 eta: 2 days, 11:45:04 time: 0.5072 data_time: 0.0314 memory: 18108 grad_norm: 2.9444 loss: 4.7215 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6802 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 2.0413 2023/01/31 17:37:26 - mmengine - INFO - Epoch(train) [32][1360/1879] lr: 9.3975e-02 eta: 2 days, 11:44:51 time: 0.4899 data_time: 0.0338 memory: 18108 grad_norm: 2.9263 loss: 4.8714 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7446 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 2.1268 2023/01/31 17:37:36 - mmengine - INFO - Epoch(train) [32][1380/1879] lr: 9.4003e-02 eta: 2 days, 11:44:42 time: 0.5214 data_time: 0.0343 memory: 18108 grad_norm: 2.9550 loss: 4.6913 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6735 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0178 2023/01/31 17:37:46 - mmengine - INFO - Epoch(train) [32][1400/1879] lr: 9.4031e-02 eta: 2 days, 11:44:30 time: 0.4987 data_time: 0.0329 memory: 18108 grad_norm: 2.9392 loss: 4.8133 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.7947 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.0186 2023/01/31 17:37:56 - mmengine - INFO - Epoch(train) [32][1420/1879] lr: 9.4059e-02 eta: 2 days, 11:44:21 time: 0.5182 data_time: 0.0331 memory: 18108 grad_norm: 2.9867 loss: 5.0064 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8331 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 2.1733 2023/01/31 17:38:07 - mmengine - INFO - Epoch(train) [32][1440/1879] lr: 9.4087e-02 eta: 2 days, 11:44:13 time: 0.5260 data_time: 0.0360 memory: 18108 grad_norm: 2.8700 loss: 4.7622 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7030 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.0592 2023/01/31 17:38:17 - mmengine - INFO - Epoch(train) [32][1460/1879] lr: 9.4116e-02 eta: 2 days, 11:44:05 time: 0.5222 data_time: 0.0311 memory: 18108 grad_norm: 2.8968 loss: 4.7739 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.7754 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 1.9985 2023/01/31 17:38:28 - mmengine - INFO - Epoch(train) [32][1480/1879] lr: 9.4144e-02 eta: 2 days, 11:43:57 time: 0.5271 data_time: 0.0344 memory: 18108 grad_norm: 2.9561 loss: 5.2821 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 3.2352 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.0469 2023/01/31 17:38:38 - mmengine - INFO - Epoch(train) [32][1500/1879] lr: 9.4172e-02 eta: 2 days, 11:43:49 time: 0.5232 data_time: 0.0310 memory: 18108 grad_norm: 3.0059 loss: 4.8191 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7788 top1_acc_1: 0.5412 top5_acc_1: 0.6941 loss_cls_1: 2.0404 2023/01/31 17:38:49 - mmengine - INFO - Epoch(train) [32][1520/1879] lr: 9.4200e-02 eta: 2 days, 11:43:41 time: 0.5271 data_time: 0.0353 memory: 18108 grad_norm: 2.9596 loss: 5.0512 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.9293 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.1219 2023/01/31 17:39:00 - mmengine - INFO - Epoch(train) [32][1540/1879] lr: 9.4228e-02 eta: 2 days, 11:43:34 time: 0.5343 data_time: 0.0303 memory: 18108 grad_norm: 2.9048 loss: 5.0732 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 2.9478 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.1254 2023/01/31 17:39:10 - mmengine - INFO - Epoch(train) [32][1560/1879] lr: 9.4256e-02 eta: 2 days, 11:43:28 time: 0.5402 data_time: 0.0363 memory: 18108 grad_norm: 2.9801 loss: 4.9138 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9204 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9934 2023/01/31 17:39:21 - mmengine - INFO - Epoch(train) [32][1580/1879] lr: 9.4285e-02 eta: 2 days, 11:43:23 time: 0.5508 data_time: 0.0312 memory: 18108 grad_norm: 2.9128 loss: 4.8679 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8133 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 2.0546 2023/01/31 17:39:32 - mmengine - INFO - Epoch(train) [32][1600/1879] lr: 9.4313e-02 eta: 2 days, 11:43:16 time: 0.5330 data_time: 0.0352 memory: 18108 grad_norm: 2.9825 loss: 5.0242 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.9594 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 2.0648 2023/01/31 17:39:43 - mmengine - INFO - Epoch(train) [32][1620/1879] lr: 9.4341e-02 eta: 2 days, 11:43:10 time: 0.5396 data_time: 0.0316 memory: 18108 grad_norm: 2.9955 loss: 4.9475 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.8825 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 2.0650 2023/01/31 17:39:54 - mmengine - INFO - Epoch(train) [32][1640/1879] lr: 9.4369e-02 eta: 2 days, 11:43:04 time: 0.5365 data_time: 0.0419 memory: 18108 grad_norm: 2.9330 loss: 4.8061 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7160 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.0900 2023/01/31 17:40:04 - mmengine - INFO - Epoch(train) [32][1660/1879] lr: 9.4397e-02 eta: 2 days, 11:42:55 time: 0.5228 data_time: 0.0330 memory: 18108 grad_norm: 2.9451 loss: 4.9574 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.8702 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0872 2023/01/31 17:40:15 - mmengine - INFO - Epoch(train) [32][1680/1879] lr: 9.4425e-02 eta: 2 days, 11:42:49 time: 0.5403 data_time: 0.0320 memory: 18108 grad_norm: 2.9562 loss: 5.1889 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.0802 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.1088 2023/01/31 17:40:25 - mmengine - INFO - Epoch(train) [32][1700/1879] lr: 9.4454e-02 eta: 2 days, 11:42:40 time: 0.5183 data_time: 0.0313 memory: 18108 grad_norm: 2.9183 loss: 4.8035 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7384 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 2.0651 2023/01/31 17:40:36 - mmengine - INFO - Epoch(train) [32][1720/1879] lr: 9.4482e-02 eta: 2 days, 11:42:32 time: 0.5241 data_time: 0.0338 memory: 18108 grad_norm: 2.9368 loss: 4.8910 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.8312 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.0599 2023/01/31 17:40:47 - mmengine - INFO - Epoch(train) [32][1740/1879] lr: 9.4510e-02 eta: 2 days, 11:42:26 time: 0.5401 data_time: 0.0311 memory: 18108 grad_norm: 2.9301 loss: 4.9038 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8253 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 2.0785 2023/01/31 17:40:52 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 17:40:57 - mmengine - INFO - Epoch(train) [32][1760/1879] lr: 9.4538e-02 eta: 2 days, 11:42:16 time: 0.5147 data_time: 0.0334 memory: 18108 grad_norm: 2.9358 loss: 5.0070 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.9113 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0957 2023/01/31 17:41:08 - mmengine - INFO - Epoch(train) [32][1780/1879] lr: 9.4566e-02 eta: 2 days, 11:42:08 time: 0.5298 data_time: 0.0385 memory: 18108 grad_norm: 2.8699 loss: 4.8126 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6852 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.1273 2023/01/31 17:41:18 - mmengine - INFO - Epoch(train) [32][1800/1879] lr: 9.4595e-02 eta: 2 days, 11:41:59 time: 0.5141 data_time: 0.0334 memory: 18108 grad_norm: 2.9897 loss: 5.3247 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 3.1084 top1_acc_1: 0.4588 top5_acc_1: 0.7059 loss_cls_1: 2.2163 2023/01/31 17:41:29 - mmengine - INFO - Epoch(train) [32][1820/1879] lr: 9.4623e-02 eta: 2 days, 11:41:52 time: 0.5384 data_time: 0.0303 memory: 18108 grad_norm: 2.9617 loss: 4.8077 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7146 top1_acc_1: 0.5765 top5_acc_1: 0.7176 loss_cls_1: 2.0931 2023/01/31 17:41:39 - mmengine - INFO - Epoch(train) [32][1840/1879] lr: 9.4651e-02 eta: 2 days, 11:41:43 time: 0.5130 data_time: 0.0360 memory: 18108 grad_norm: 2.9888 loss: 4.8474 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7952 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 2.0522 2023/01/31 17:41:50 - mmengine - INFO - Epoch(train) [32][1860/1879] lr: 9.4679e-02 eta: 2 days, 11:41:36 time: 0.5380 data_time: 0.0329 memory: 18108 grad_norm: 2.8975 loss: 5.0210 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8868 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 2.1342 2023/01/31 17:41:59 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 17:41:59 - mmengine - INFO - Epoch(train) [32][1879/1879] lr: 9.4706e-02 eta: 2 days, 11:41:24 time: 0.4955 data_time: 0.0309 memory: 18108 grad_norm: 2.9893 loss: 4.9274 top1_acc_0: 0.1429 top5_acc_0: 0.2857 loss_cls_0: 2.8273 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 2.1001 2023/01/31 17:42:00 - mmengine - INFO - Saving checkpoint at 32 epochs 2023/01/31 17:42:10 - mmengine - INFO - Epoch(val) [32][ 20/155] eta: 0:01:02 time: 0.4614 data_time: 0.3483 memory: 1906 2023/01/31 17:42:19 - mmengine - INFO - Epoch(val) [32][ 40/155] eta: 0:00:52 time: 0.4443 data_time: 0.3324 memory: 1906 2023/01/31 17:42:28 - mmengine - INFO - Epoch(val) [32][ 60/155] eta: 0:00:42 time: 0.4300 data_time: 0.3191 memory: 1906 2023/01/31 17:42:37 - mmengine - INFO - Epoch(val) [32][ 80/155] eta: 0:00:33 time: 0.4599 data_time: 0.3480 memory: 1906 2023/01/31 17:42:46 - mmengine - INFO - Epoch(val) [32][100/155] eta: 0:00:24 time: 0.4509 data_time: 0.3398 memory: 1906 2023/01/31 17:42:55 - mmengine - INFO - Epoch(val) [32][120/155] eta: 0:00:15 time: 0.4577 data_time: 0.3471 memory: 1906 2023/01/31 17:43:04 - mmengine - INFO - Epoch(val) [32][140/155] eta: 0:00:06 time: 0.4334 data_time: 0.3217 memory: 1906 2023/01/31 17:43:11 - mmengine - INFO - Epoch(val) [32][155/155] acc/top1: 0.4135 acc/top5: 0.6772 acc/mean1: 0.4132 2023/01/31 17:43:25 - mmengine - INFO - Epoch(train) [33][ 20/1879] lr: 9.4734e-02 eta: 2 days, 11:41:40 time: 0.6990 data_time: 0.2700 memory: 18108 grad_norm: 2.9276 loss: 4.6194 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7343 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8851 2023/01/31 17:43:35 - mmengine - INFO - Epoch(train) [33][ 40/1879] lr: 9.4762e-02 eta: 2 days, 11:41:23 time: 0.4587 data_time: 0.0346 memory: 18108 grad_norm: 2.9709 loss: 4.7999 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7969 top1_acc_1: 0.4471 top5_acc_1: 0.7176 loss_cls_1: 2.0029 2023/01/31 17:43:44 - mmengine - INFO - Epoch(train) [33][ 60/1879] lr: 9.4790e-02 eta: 2 days, 11:41:05 time: 0.4578 data_time: 0.0363 memory: 18108 grad_norm: 2.9538 loss: 5.0060 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.8994 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 2.1066 2023/01/31 17:43:54 - mmengine - INFO - Epoch(train) [33][ 80/1879] lr: 9.4819e-02 eta: 2 days, 11:40:53 time: 0.4967 data_time: 0.0446 memory: 18108 grad_norm: 2.9158 loss: 4.8702 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8633 top1_acc_1: 0.4000 top5_acc_1: 0.6471 loss_cls_1: 2.0069 2023/01/31 17:44:03 - mmengine - INFO - Epoch(train) [33][ 100/1879] lr: 9.4847e-02 eta: 2 days, 11:40:36 time: 0.4648 data_time: 0.0410 memory: 18108 grad_norm: 3.0073 loss: 4.7861 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.8185 top1_acc_1: 0.5176 top5_acc_1: 0.8353 loss_cls_1: 1.9676 2023/01/31 17:44:12 - mmengine - INFO - Epoch(train) [33][ 120/1879] lr: 9.4875e-02 eta: 2 days, 11:40:21 time: 0.4720 data_time: 0.0315 memory: 18108 grad_norm: 2.9502 loss: 4.6080 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6355 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.9725 2023/01/31 17:44:23 - mmengine - INFO - Epoch(train) [33][ 140/1879] lr: 9.4903e-02 eta: 2 days, 11:40:12 time: 0.5215 data_time: 0.0362 memory: 18108 grad_norm: 2.8988 loss: 4.9499 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8447 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.1053 2023/01/31 17:44:33 - mmengine - INFO - Epoch(train) [33][ 160/1879] lr: 9.4931e-02 eta: 2 days, 11:39:58 time: 0.4844 data_time: 0.0300 memory: 18108 grad_norm: 2.9501 loss: 4.6008 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6371 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.9637 2023/01/31 17:44:42 - mmengine - INFO - Epoch(train) [33][ 180/1879] lr: 9.4959e-02 eta: 2 days, 11:39:43 time: 0.4730 data_time: 0.0388 memory: 18108 grad_norm: 3.0193 loss: 4.6859 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6093 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 2.0766 2023/01/31 17:44:52 - mmengine - INFO - Epoch(train) [33][ 200/1879] lr: 9.4988e-02 eta: 2 days, 11:39:30 time: 0.4891 data_time: 0.0399 memory: 18108 grad_norm: 2.9401 loss: 4.8345 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.7398 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 2.0947 2023/01/31 17:45:02 - mmengine - INFO - Epoch(train) [33][ 220/1879] lr: 9.5016e-02 eta: 2 days, 11:39:18 time: 0.4966 data_time: 0.0384 memory: 18108 grad_norm: 3.0044 loss: 4.8291 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7357 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 2.0934 2023/01/31 17:45:11 - mmengine - INFO - Epoch(train) [33][ 240/1879] lr: 9.5044e-02 eta: 2 days, 11:39:03 time: 0.4818 data_time: 0.0311 memory: 18108 grad_norm: 2.9825 loss: 4.7217 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7044 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.0173 2023/01/31 17:45:21 - mmengine - INFO - Epoch(train) [33][ 260/1879] lr: 9.5072e-02 eta: 2 days, 11:38:49 time: 0.4837 data_time: 0.0486 memory: 18108 grad_norm: 2.9649 loss: 4.7906 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7657 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 2.0248 2023/01/31 17:45:31 - mmengine - INFO - Epoch(train) [33][ 280/1879] lr: 9.5100e-02 eta: 2 days, 11:38:36 time: 0.4897 data_time: 0.0293 memory: 18108 grad_norm: 2.9814 loss: 4.8962 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.9196 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.9766 2023/01/31 17:45:41 - mmengine - INFO - Epoch(train) [33][ 300/1879] lr: 9.5128e-02 eta: 2 days, 11:38:22 time: 0.4794 data_time: 0.0399 memory: 18108 grad_norm: 3.0091 loss: 4.9294 top1_acc_0: 0.3125 top5_acc_0: 0.8750 loss_cls_0: 2.8365 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.0929 2023/01/31 17:45:50 - mmengine - INFO - Epoch(train) [33][ 320/1879] lr: 9.5157e-02 eta: 2 days, 11:38:06 time: 0.4723 data_time: 0.0297 memory: 18108 grad_norm: 2.9680 loss: 4.8897 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.8588 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0309 2023/01/31 17:46:00 - mmengine - INFO - Epoch(train) [33][ 340/1879] lr: 9.5185e-02 eta: 2 days, 11:37:53 time: 0.4875 data_time: 0.0437 memory: 18108 grad_norm: 2.9231 loss: 4.9811 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9471 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 2.0340 2023/01/31 17:46:10 - mmengine - INFO - Epoch(train) [33][ 360/1879] lr: 9.5213e-02 eta: 2 days, 11:37:41 time: 0.5008 data_time: 0.0315 memory: 18108 grad_norm: 2.9487 loss: 4.6855 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.6475 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 2.0380 2023/01/31 17:46:19 - mmengine - INFO - Epoch(train) [33][ 380/1879] lr: 9.5241e-02 eta: 2 days, 11:37:28 time: 0.4876 data_time: 0.0373 memory: 18108 grad_norm: 2.9287 loss: 4.9533 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8690 top1_acc_1: 0.4588 top5_acc_1: 0.7882 loss_cls_1: 2.0843 2023/01/31 17:46:29 - mmengine - INFO - Epoch(train) [33][ 400/1879] lr: 9.5269e-02 eta: 2 days, 11:37:15 time: 0.4889 data_time: 0.0424 memory: 18108 grad_norm: 2.9270 loss: 4.7020 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7324 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9695 2023/01/31 17:46:39 - mmengine - INFO - Epoch(train) [33][ 420/1879] lr: 9.5297e-02 eta: 2 days, 11:37:01 time: 0.4878 data_time: 0.0390 memory: 18108 grad_norm: 2.9378 loss: 4.7641 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7102 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 2.0539 2023/01/31 17:46:49 - mmengine - INFO - Epoch(train) [33][ 440/1879] lr: 9.5326e-02 eta: 2 days, 11:36:48 time: 0.4869 data_time: 0.0322 memory: 18108 grad_norm: 2.9851 loss: 4.9751 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8844 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.0907 2023/01/31 17:46:59 - mmengine - INFO - Epoch(train) [33][ 460/1879] lr: 9.5354e-02 eta: 2 days, 11:36:35 time: 0.4913 data_time: 0.0469 memory: 18108 grad_norm: 2.9360 loss: 5.1099 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9607 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.1492 2023/01/31 17:47:08 - mmengine - INFO - Epoch(train) [33][ 480/1879] lr: 9.5382e-02 eta: 2 days, 11:36:22 time: 0.4921 data_time: 0.0310 memory: 18108 grad_norm: 2.9458 loss: 4.8335 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7360 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 2.0975 2023/01/31 17:47:18 - mmengine - INFO - Epoch(train) [33][ 500/1879] lr: 9.5410e-02 eta: 2 days, 11:36:08 time: 0.4845 data_time: 0.0398 memory: 18108 grad_norm: 2.9363 loss: 4.8292 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8077 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 2.0215 2023/01/31 17:47:28 - mmengine - INFO - Epoch(train) [33][ 520/1879] lr: 9.5438e-02 eta: 2 days, 11:35:56 time: 0.4978 data_time: 0.0378 memory: 18108 grad_norm: 2.9501 loss: 4.8431 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8221 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 2.0209 2023/01/31 17:47:38 - mmengine - INFO - Epoch(train) [33][ 540/1879] lr: 9.5467e-02 eta: 2 days, 11:35:44 time: 0.4938 data_time: 0.0381 memory: 18108 grad_norm: 2.9610 loss: 4.8752 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8652 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.0100 2023/01/31 17:47:48 - mmengine - INFO - Epoch(train) [33][ 560/1879] lr: 9.5495e-02 eta: 2 days, 11:35:31 time: 0.4871 data_time: 0.0298 memory: 18108 grad_norm: 2.9719 loss: 5.0822 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.9936 top1_acc_1: 0.5412 top5_acc_1: 0.8471 loss_cls_1: 2.0886 2023/01/31 17:47:58 - mmengine - INFO - Epoch(train) [33][ 580/1879] lr: 9.5523e-02 eta: 2 days, 11:35:17 time: 0.4894 data_time: 0.0451 memory: 18108 grad_norm: 2.9345 loss: 4.9942 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9511 top1_acc_1: 0.6000 top5_acc_1: 0.7412 loss_cls_1: 2.0431 2023/01/31 17:48:07 - mmengine - INFO - Epoch(train) [33][ 600/1879] lr: 9.5551e-02 eta: 2 days, 11:35:04 time: 0.4858 data_time: 0.0314 memory: 18108 grad_norm: 2.9346 loss: 4.9267 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.8548 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.0719 2023/01/31 17:48:17 - mmengine - INFO - Epoch(train) [33][ 620/1879] lr: 9.5579e-02 eta: 2 days, 11:34:50 time: 0.4875 data_time: 0.0390 memory: 18108 grad_norm: 2.9856 loss: 4.7962 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8135 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9827 2023/01/31 17:48:26 - mmengine - INFO - Epoch(train) [33][ 640/1879] lr: 9.5607e-02 eta: 2 days, 11:34:35 time: 0.4737 data_time: 0.0292 memory: 18108 grad_norm: 2.9126 loss: 4.9019 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8491 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.0528 2023/01/31 17:48:36 - mmengine - INFO - Epoch(train) [33][ 660/1879] lr: 9.5636e-02 eta: 2 days, 11:34:22 time: 0.4914 data_time: 0.0479 memory: 18108 grad_norm: 2.9898 loss: 4.8530 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7386 top1_acc_1: 0.4588 top5_acc_1: 0.6824 loss_cls_1: 2.1144 2023/01/31 17:48:46 - mmengine - INFO - Epoch(train) [33][ 680/1879] lr: 9.5664e-02 eta: 2 days, 11:34:12 time: 0.5076 data_time: 0.0290 memory: 18108 grad_norm: 2.9404 loss: 4.7128 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.7303 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.9825 2023/01/31 17:48:56 - mmengine - INFO - Epoch(train) [33][ 700/1879] lr: 9.5692e-02 eta: 2 days, 11:33:59 time: 0.4938 data_time: 0.0391 memory: 18108 grad_norm: 2.9084 loss: 4.6912 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6867 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.0045 2023/01/31 17:49:06 - mmengine - INFO - Epoch(train) [33][ 720/1879] lr: 9.5720e-02 eta: 2 days, 11:33:48 time: 0.4997 data_time: 0.0400 memory: 18108 grad_norm: 2.9894 loss: 4.8474 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8020 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 2.0454 2023/01/31 17:49:17 - mmengine - INFO - Epoch(train) [33][ 740/1879] lr: 9.5748e-02 eta: 2 days, 11:33:37 time: 0.5078 data_time: 0.0393 memory: 18108 grad_norm: 2.9953 loss: 5.1496 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.0479 top1_acc_1: 0.4353 top5_acc_1: 0.7412 loss_cls_1: 2.1018 2023/01/31 17:49:26 - mmengine - INFO - Epoch(train) [33][ 760/1879] lr: 9.5776e-02 eta: 2 days, 11:33:24 time: 0.4922 data_time: 0.0287 memory: 18108 grad_norm: 2.9631 loss: 4.8387 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7598 top1_acc_1: 0.5176 top5_acc_1: 0.8353 loss_cls_1: 2.0788 2023/01/31 17:49:36 - mmengine - INFO - Epoch(train) [33][ 780/1879] lr: 9.5805e-02 eta: 2 days, 11:33:13 time: 0.5036 data_time: 0.0470 memory: 18108 grad_norm: 3.0295 loss: 4.9958 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9184 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.0774 2023/01/31 17:49:47 - mmengine - INFO - Epoch(train) [33][ 800/1879] lr: 9.5833e-02 eta: 2 days, 11:33:02 time: 0.5041 data_time: 0.0322 memory: 18108 grad_norm: 2.9551 loss: 4.9016 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8264 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.0753 2023/01/31 17:49:57 - mmengine - INFO - Epoch(train) [33][ 820/1879] lr: 9.5861e-02 eta: 2 days, 11:32:52 time: 0.5091 data_time: 0.0405 memory: 18108 grad_norm: 2.9187 loss: 4.6620 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6849 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9771 2023/01/31 17:50:06 - mmengine - INFO - Epoch(train) [33][ 840/1879] lr: 9.5889e-02 eta: 2 days, 11:32:38 time: 0.4854 data_time: 0.0296 memory: 18108 grad_norm: 2.8554 loss: 4.7132 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6295 top1_acc_1: 0.4353 top5_acc_1: 0.7647 loss_cls_1: 2.0838 2023/01/31 17:50:17 - mmengine - INFO - Epoch(train) [33][ 860/1879] lr: 9.5917e-02 eta: 2 days, 11:32:28 time: 0.5147 data_time: 0.0465 memory: 18108 grad_norm: 2.9590 loss: 4.9169 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8338 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 2.0831 2023/01/31 17:50:23 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 17:50:27 - mmengine - INFO - Epoch(train) [33][ 880/1879] lr: 9.5946e-02 eta: 2 days, 11:32:17 time: 0.5034 data_time: 0.0339 memory: 18108 grad_norm: 3.0102 loss: 4.9658 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8052 top1_acc_1: 0.4706 top5_acc_1: 0.7059 loss_cls_1: 2.1606 2023/01/31 17:50:37 - mmengine - INFO - Epoch(train) [33][ 900/1879] lr: 9.5974e-02 eta: 2 days, 11:32:06 time: 0.5053 data_time: 0.0324 memory: 18108 grad_norm: 2.9534 loss: 4.9699 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8874 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 2.0824 2023/01/31 17:50:47 - mmengine - INFO - Epoch(train) [33][ 920/1879] lr: 9.6002e-02 eta: 2 days, 11:31:56 time: 0.5104 data_time: 0.0437 memory: 18108 grad_norm: 2.9028 loss: 4.7977 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.7509 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0468 2023/01/31 17:50:58 - mmengine - INFO - Epoch(train) [33][ 940/1879] lr: 9.6030e-02 eta: 2 days, 11:31:47 time: 0.5209 data_time: 0.0334 memory: 18108 grad_norm: 2.9142 loss: 5.0097 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.9444 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0652 2023/01/31 17:51:08 - mmengine - INFO - Epoch(train) [33][ 960/1879] lr: 9.6058e-02 eta: 2 days, 11:31:36 time: 0.4993 data_time: 0.0355 memory: 18108 grad_norm: 2.9253 loss: 4.7412 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7212 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 2.0200 2023/01/31 17:51:18 - mmengine - INFO - Epoch(train) [33][ 980/1879] lr: 9.6086e-02 eta: 2 days, 11:31:25 time: 0.5034 data_time: 0.0397 memory: 18108 grad_norm: 2.9951 loss: 5.1788 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 3.0055 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 2.1733 2023/01/31 17:51:28 - mmengine - INFO - Epoch(train) [33][1000/1879] lr: 9.6115e-02 eta: 2 days, 11:31:14 time: 0.5096 data_time: 0.0342 memory: 18108 grad_norm: 2.9792 loss: 4.7565 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7800 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 1.9765 2023/01/31 17:51:38 - mmengine - INFO - Epoch(train) [33][1020/1879] lr: 9.6143e-02 eta: 2 days, 11:31:03 time: 0.5037 data_time: 0.0319 memory: 18108 grad_norm: 2.9092 loss: 4.9548 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8529 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.1020 2023/01/31 17:51:48 - mmengine - INFO - Epoch(train) [33][1040/1879] lr: 9.6171e-02 eta: 2 days, 11:30:53 time: 0.5108 data_time: 0.0360 memory: 18108 grad_norm: 2.9092 loss: 4.7817 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6694 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.1124 2023/01/31 17:51:58 - mmengine - INFO - Epoch(train) [33][1060/1879] lr: 9.6199e-02 eta: 2 days, 11:30:42 time: 0.5005 data_time: 0.0403 memory: 18108 grad_norm: 2.9500 loss: 4.8617 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7135 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.1482 2023/01/31 17:52:08 - mmengine - INFO - Epoch(train) [33][1080/1879] lr: 9.6227e-02 eta: 2 days, 11:30:32 time: 0.5179 data_time: 0.0333 memory: 18108 grad_norm: 2.9232 loss: 4.7101 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6592 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 2.0509 2023/01/31 17:52:18 - mmengine - INFO - Epoch(train) [33][1100/1879] lr: 9.6255e-02 eta: 2 days, 11:30:20 time: 0.4936 data_time: 0.0351 memory: 18108 grad_norm: 2.9108 loss: 4.9003 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7542 top1_acc_1: 0.3765 top5_acc_1: 0.7176 loss_cls_1: 2.1461 2023/01/31 17:52:28 - mmengine - INFO - Epoch(train) [33][1120/1879] lr: 9.6284e-02 eta: 2 days, 11:30:08 time: 0.4963 data_time: 0.0335 memory: 18108 grad_norm: 2.9284 loss: 4.7492 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5571 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.1921 2023/01/31 17:52:39 - mmengine - INFO - Epoch(train) [33][1140/1879] lr: 9.6312e-02 eta: 2 days, 11:29:58 time: 0.5117 data_time: 0.0425 memory: 18108 grad_norm: 2.9333 loss: 4.7590 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.6717 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 2.0873 2023/01/31 17:52:49 - mmengine - INFO - Epoch(train) [33][1160/1879] lr: 9.6340e-02 eta: 2 days, 11:29:46 time: 0.5003 data_time: 0.0321 memory: 18108 grad_norm: 2.9274 loss: 4.5705 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6034 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.9671 2023/01/31 17:52:58 - mmengine - INFO - Epoch(train) [33][1180/1879] lr: 9.6368e-02 eta: 2 days, 11:29:32 time: 0.4844 data_time: 0.0346 memory: 18108 grad_norm: 2.9916 loss: 4.5534 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.5675 top1_acc_1: 0.4706 top5_acc_1: 0.6588 loss_cls_1: 1.9860 2023/01/31 17:53:09 - mmengine - INFO - Epoch(train) [33][1200/1879] lr: 9.6396e-02 eta: 2 days, 11:29:23 time: 0.5131 data_time: 0.0401 memory: 18108 grad_norm: 2.9110 loss: 4.8789 top1_acc_0: 0.3750 top5_acc_0: 0.3750 loss_cls_0: 2.8785 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 2.0004 2023/01/31 17:53:19 - mmengine - INFO - Epoch(train) [33][1220/1879] lr: 9.6425e-02 eta: 2 days, 11:29:13 time: 0.5123 data_time: 0.0371 memory: 18108 grad_norm: 2.9821 loss: 5.1033 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 3.0406 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 2.0627 2023/01/31 17:53:29 - mmengine - INFO - Epoch(train) [33][1240/1879] lr: 9.6453e-02 eta: 2 days, 11:29:00 time: 0.4906 data_time: 0.0318 memory: 18108 grad_norm: 2.9384 loss: 4.7909 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6527 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 2.1382 2023/01/31 17:53:38 - mmengine - INFO - Epoch(train) [33][1260/1879] lr: 9.6481e-02 eta: 2 days, 11:28:47 time: 0.4942 data_time: 0.0364 memory: 18108 grad_norm: 2.9576 loss: 5.0791 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.9583 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.1207 2023/01/31 17:53:49 - mmengine - INFO - Epoch(train) [33][1280/1879] lr: 9.6509e-02 eta: 2 days, 11:28:37 time: 0.5059 data_time: 0.0390 memory: 18108 grad_norm: 2.9080 loss: 4.7955 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7471 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.0484 2023/01/31 17:53:59 - mmengine - INFO - Epoch(train) [33][1300/1879] lr: 9.6537e-02 eta: 2 days, 11:28:26 time: 0.5111 data_time: 0.0375 memory: 18108 grad_norm: 2.9184 loss: 5.0151 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8692 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.1459 2023/01/31 17:54:09 - mmengine - INFO - Epoch(train) [33][1320/1879] lr: 9.6565e-02 eta: 2 days, 11:28:13 time: 0.4892 data_time: 0.0321 memory: 18108 grad_norm: 3.0332 loss: 4.9142 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8603 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 2.0539 2023/01/31 17:54:19 - mmengine - INFO - Epoch(train) [33][1340/1879] lr: 9.6594e-02 eta: 2 days, 11:28:01 time: 0.4972 data_time: 0.0369 memory: 18108 grad_norm: 2.9054 loss: 5.0486 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8924 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 2.1563 2023/01/31 17:54:29 - mmengine - INFO - Epoch(train) [33][1360/1879] lr: 9.6622e-02 eta: 2 days, 11:27:51 time: 0.5061 data_time: 0.0373 memory: 18108 grad_norm: 2.9319 loss: 4.7019 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6666 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 2.0353 2023/01/31 17:54:39 - mmengine - INFO - Epoch(train) [33][1380/1879] lr: 9.6650e-02 eta: 2 days, 11:27:39 time: 0.4976 data_time: 0.0364 memory: 18108 grad_norm: 2.9279 loss: 4.8164 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7623 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.0541 2023/01/31 17:54:49 - mmengine - INFO - Epoch(train) [33][1400/1879] lr: 9.6678e-02 eta: 2 days, 11:27:28 time: 0.5074 data_time: 0.0311 memory: 18108 grad_norm: 2.9360 loss: 4.7419 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6849 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.0570 2023/01/31 17:54:59 - mmengine - INFO - Epoch(train) [33][1420/1879] lr: 9.6706e-02 eta: 2 days, 11:27:17 time: 0.5059 data_time: 0.0434 memory: 18108 grad_norm: 2.9138 loss: 5.1634 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 3.0943 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0692 2023/01/31 17:55:09 - mmengine - INFO - Epoch(train) [33][1440/1879] lr: 9.6734e-02 eta: 2 days, 11:27:08 time: 0.5149 data_time: 0.0305 memory: 18108 grad_norm: 2.9769 loss: 5.0736 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9973 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 2.0763 2023/01/31 17:55:19 - mmengine - INFO - Epoch(train) [33][1460/1879] lr: 9.6763e-02 eta: 2 days, 11:26:55 time: 0.4951 data_time: 0.0351 memory: 18108 grad_norm: 2.9632 loss: 5.1446 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 3.0795 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 2.0652 2023/01/31 17:55:29 - mmengine - INFO - Epoch(train) [33][1480/1879] lr: 9.6791e-02 eta: 2 days, 11:26:43 time: 0.4972 data_time: 0.0324 memory: 18108 grad_norm: 2.8884 loss: 4.9840 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8798 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.1042 2023/01/31 17:55:39 - mmengine - INFO - Epoch(train) [33][1500/1879] lr: 9.6819e-02 eta: 2 days, 11:26:32 time: 0.4992 data_time: 0.0424 memory: 18108 grad_norm: 2.8768 loss: 4.6613 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.7019 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9594 2023/01/31 17:55:49 - mmengine - INFO - Epoch(train) [33][1520/1879] lr: 9.6847e-02 eta: 2 days, 11:26:21 time: 0.5029 data_time: 0.0314 memory: 18108 grad_norm: 2.9080 loss: 4.9579 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.9370 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0209 2023/01/31 17:55:59 - mmengine - INFO - Epoch(train) [33][1540/1879] lr: 9.6875e-02 eta: 2 days, 11:26:07 time: 0.4884 data_time: 0.0364 memory: 18108 grad_norm: 2.9011 loss: 4.8363 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8462 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9901 2023/01/31 17:56:09 - mmengine - INFO - Epoch(train) [33][1560/1879] lr: 9.6903e-02 eta: 2 days, 11:25:57 time: 0.5055 data_time: 0.0333 memory: 18108 grad_norm: 2.8757 loss: 4.8527 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8028 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.0500 2023/01/31 17:56:19 - mmengine - INFO - Epoch(train) [33][1580/1879] lr: 9.6932e-02 eta: 2 days, 11:25:45 time: 0.4993 data_time: 0.0358 memory: 18108 grad_norm: 2.9371 loss: 4.9397 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 2.8458 top1_acc_1: 0.4118 top5_acc_1: 0.7529 loss_cls_1: 2.0940 2023/01/31 17:56:29 - mmengine - INFO - Epoch(train) [33][1600/1879] lr: 9.6960e-02 eta: 2 days, 11:25:32 time: 0.4893 data_time: 0.0327 memory: 18108 grad_norm: 2.9822 loss: 4.9433 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7890 top1_acc_1: 0.4706 top5_acc_1: 0.6471 loss_cls_1: 2.1543 2023/01/31 17:56:39 - mmengine - INFO - Epoch(train) [33][1620/1879] lr: 9.6988e-02 eta: 2 days, 11:25:18 time: 0.4857 data_time: 0.0368 memory: 18108 grad_norm: 2.9352 loss: 4.8310 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7320 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0991 2023/01/31 17:56:48 - mmengine - INFO - Epoch(train) [33][1640/1879] lr: 9.7016e-02 eta: 2 days, 11:25:05 time: 0.4912 data_time: 0.0390 memory: 18108 grad_norm: 2.9272 loss: 5.0776 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.9906 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.0870 2023/01/31 17:56:58 - mmengine - INFO - Epoch(train) [33][1660/1879] lr: 9.7044e-02 eta: 2 days, 11:24:53 time: 0.4904 data_time: 0.0355 memory: 18108 grad_norm: 2.9380 loss: 5.0751 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9702 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 2.1049 2023/01/31 17:57:08 - mmengine - INFO - Epoch(train) [33][1680/1879] lr: 9.7073e-02 eta: 2 days, 11:24:41 time: 0.4998 data_time: 0.0318 memory: 18108 grad_norm: 2.9252 loss: 4.8818 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7952 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 2.0866 2023/01/31 17:57:18 - mmengine - INFO - Epoch(train) [33][1700/1879] lr: 9.7101e-02 eta: 2 days, 11:24:28 time: 0.4869 data_time: 0.0346 memory: 18108 grad_norm: 2.9290 loss: 5.1820 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.1144 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.0676 2023/01/31 17:57:28 - mmengine - INFO - Epoch(train) [33][1720/1879] lr: 9.7129e-02 eta: 2 days, 11:24:18 time: 0.5153 data_time: 0.0399 memory: 18108 grad_norm: 2.9360 loss: 4.9351 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.9212 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.0140 2023/01/31 17:57:38 - mmengine - INFO - Epoch(train) [33][1740/1879] lr: 9.7157e-02 eta: 2 days, 11:24:05 time: 0.4886 data_time: 0.0349 memory: 18108 grad_norm: 2.9436 loss: 4.9991 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9323 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.0667 2023/01/31 17:57:48 - mmengine - INFO - Epoch(train) [33][1760/1879] lr: 9.7185e-02 eta: 2 days, 11:23:54 time: 0.5026 data_time: 0.0326 memory: 18108 grad_norm: 2.8937 loss: 5.0519 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 3.0409 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 2.0110 2023/01/31 17:57:58 - mmengine - INFO - Epoch(train) [33][1780/1879] lr: 9.7213e-02 eta: 2 days, 11:23:42 time: 0.5025 data_time: 0.0441 memory: 18108 grad_norm: 2.9298 loss: 4.7766 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6711 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 2.1055 2023/01/31 17:58:08 - mmengine - INFO - Epoch(train) [33][1800/1879] lr: 9.7242e-02 eta: 2 days, 11:23:32 time: 0.5092 data_time: 0.0311 memory: 18108 grad_norm: 2.9334 loss: 5.0749 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.9376 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 2.1374 2023/01/31 17:58:18 - mmengine - INFO - Epoch(train) [33][1820/1879] lr: 9.7270e-02 eta: 2 days, 11:23:20 time: 0.4973 data_time: 0.0354 memory: 18108 grad_norm: 2.8965 loss: 4.7405 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6728 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.0677 2023/01/31 17:58:28 - mmengine - INFO - Epoch(train) [33][1840/1879] lr: 9.7298e-02 eta: 2 days, 11:23:08 time: 0.4978 data_time: 0.0320 memory: 18108 grad_norm: 2.9449 loss: 4.9811 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.9491 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0320 2023/01/31 17:58:39 - mmengine - INFO - Epoch(train) [33][1860/1879] lr: 9.7326e-02 eta: 2 days, 11:22:59 time: 0.5180 data_time: 0.0443 memory: 18108 grad_norm: 2.9576 loss: 5.0714 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9186 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.1528 2023/01/31 17:58:45 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 17:58:48 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 17:58:48 - mmengine - INFO - Epoch(train) [33][1879/1879] lr: 9.7353e-02 eta: 2 days, 11:22:47 time: 0.4861 data_time: 0.0334 memory: 18108 grad_norm: 2.9854 loss: 5.2682 top1_acc_0: 0.1429 top5_acc_0: 0.4286 loss_cls_0: 3.1244 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 2.1438 2023/01/31 17:59:03 - mmengine - INFO - Epoch(train) [34][ 20/1879] lr: 9.7381e-02 eta: 2 days, 11:23:02 time: 0.7024 data_time: 0.2564 memory: 18108 grad_norm: 2.8785 loss: 4.6610 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6154 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.0456 2023/01/31 17:59:12 - mmengine - INFO - Epoch(train) [34][ 40/1879] lr: 9.7409e-02 eta: 2 days, 11:22:47 time: 0.4684 data_time: 0.0337 memory: 18108 grad_norm: 2.9401 loss: 5.0384 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.0642 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.9742 2023/01/31 17:59:22 - mmengine - INFO - Epoch(train) [34][ 60/1879] lr: 9.7437e-02 eta: 2 days, 11:22:32 time: 0.4765 data_time: 0.0344 memory: 18108 grad_norm: 2.9158 loss: 4.7873 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7748 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.0125 2023/01/31 17:59:32 - mmengine - INFO - Epoch(train) [34][ 80/1879] lr: 9.7466e-02 eta: 2 days, 11:22:24 time: 0.5292 data_time: 0.0323 memory: 18108 grad_norm: 2.9242 loss: 4.5911 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6193 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.9718 2023/01/31 17:59:42 - mmengine - INFO - Epoch(train) [34][ 100/1879] lr: 9.7494e-02 eta: 2 days, 11:22:10 time: 0.4782 data_time: 0.0452 memory: 18108 grad_norm: 2.9586 loss: 4.8872 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.9125 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 1.9747 2023/01/31 17:59:51 - mmengine - INFO - Epoch(train) [34][ 120/1879] lr: 9.7522e-02 eta: 2 days, 11:21:54 time: 0.4719 data_time: 0.0264 memory: 18108 grad_norm: 2.9074 loss: 5.1123 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.1146 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9977 2023/01/31 18:00:01 - mmengine - INFO - Epoch(train) [34][ 140/1879] lr: 9.7550e-02 eta: 2 days, 11:21:44 time: 0.5094 data_time: 0.0454 memory: 18108 grad_norm: 2.8770 loss: 4.7667 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 2.7798 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.9869 2023/01/31 18:00:11 - mmengine - INFO - Epoch(train) [34][ 160/1879] lr: 9.7578e-02 eta: 2 days, 11:21:32 time: 0.4938 data_time: 0.0322 memory: 18108 grad_norm: 2.9351 loss: 4.6241 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6336 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.9906 2023/01/31 18:00:21 - mmengine - INFO - Epoch(train) [34][ 180/1879] lr: 9.7606e-02 eta: 2 days, 11:21:19 time: 0.4959 data_time: 0.0375 memory: 18108 grad_norm: 2.9212 loss: 4.8418 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.8578 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.9840 2023/01/31 18:00:31 - mmengine - INFO - Epoch(train) [34][ 200/1879] lr: 9.7635e-02 eta: 2 days, 11:21:06 time: 0.4850 data_time: 0.0399 memory: 18108 grad_norm: 2.9057 loss: 4.6409 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6175 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.0234 2023/01/31 18:00:41 - mmengine - INFO - Epoch(train) [34][ 220/1879] lr: 9.7663e-02 eta: 2 days, 11:20:55 time: 0.5065 data_time: 0.0375 memory: 18108 grad_norm: 2.9622 loss: 4.6305 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6255 top1_acc_1: 0.5882 top5_acc_1: 0.7176 loss_cls_1: 2.0049 2023/01/31 18:00:51 - mmengine - INFO - Epoch(train) [34][ 240/1879] lr: 9.7691e-02 eta: 2 days, 11:20:42 time: 0.4892 data_time: 0.0302 memory: 18108 grad_norm: 2.9583 loss: 4.8905 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.8016 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 2.0889 2023/01/31 18:01:01 - mmengine - INFO - Epoch(train) [34][ 260/1879] lr: 9.7719e-02 eta: 2 days, 11:20:31 time: 0.4997 data_time: 0.0447 memory: 18108 grad_norm: 2.8928 loss: 4.9150 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8428 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 2.0722 2023/01/31 18:01:11 - mmengine - INFO - Epoch(train) [34][ 280/1879] lr: 9.7747e-02 eta: 2 days, 11:20:17 time: 0.4849 data_time: 0.0289 memory: 18108 grad_norm: 2.9236 loss: 4.7837 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.7012 top1_acc_1: 0.5765 top5_acc_1: 0.7176 loss_cls_1: 2.0826 2023/01/31 18:01:21 - mmengine - INFO - Epoch(train) [34][ 300/1879] lr: 9.7776e-02 eta: 2 days, 11:20:06 time: 0.5022 data_time: 0.0364 memory: 18108 grad_norm: 2.9401 loss: 4.9451 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9553 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 1.9897 2023/01/31 18:01:30 - mmengine - INFO - Epoch(train) [34][ 320/1879] lr: 9.7804e-02 eta: 2 days, 11:19:52 time: 0.4824 data_time: 0.0292 memory: 18108 grad_norm: 2.9197 loss: 5.0344 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.9955 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 2.0389 2023/01/31 18:01:40 - mmengine - INFO - Epoch(train) [34][ 340/1879] lr: 9.7832e-02 eta: 2 days, 11:19:40 time: 0.4954 data_time: 0.0360 memory: 18108 grad_norm: 2.9204 loss: 4.8504 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7797 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.0707 2023/01/31 18:01:50 - mmengine - INFO - Epoch(train) [34][ 360/1879] lr: 9.7860e-02 eta: 2 days, 11:19:25 time: 0.4798 data_time: 0.0298 memory: 18108 grad_norm: 2.9789 loss: 4.9729 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8419 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 2.1311 2023/01/31 18:02:00 - mmengine - INFO - Epoch(train) [34][ 380/1879] lr: 9.7888e-02 eta: 2 days, 11:19:15 time: 0.5075 data_time: 0.0365 memory: 18108 grad_norm: 2.9530 loss: 4.6385 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5574 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.0811 2023/01/31 18:02:10 - mmengine - INFO - Epoch(train) [34][ 400/1879] lr: 9.7916e-02 eta: 2 days, 11:19:03 time: 0.4979 data_time: 0.0387 memory: 18108 grad_norm: 2.8898 loss: 4.9257 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7918 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.1338 2023/01/31 18:02:20 - mmengine - INFO - Epoch(train) [34][ 420/1879] lr: 9.7945e-02 eta: 2 days, 11:18:51 time: 0.4977 data_time: 0.0351 memory: 18108 grad_norm: 2.9407 loss: 4.9210 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8740 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 2.0469 2023/01/31 18:02:30 - mmengine - INFO - Epoch(train) [34][ 440/1879] lr: 9.7973e-02 eta: 2 days, 11:18:39 time: 0.4958 data_time: 0.0288 memory: 18108 grad_norm: 2.9125 loss: 4.6855 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7883 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.8973 2023/01/31 18:02:40 - mmengine - INFO - Epoch(train) [34][ 460/1879] lr: 9.8001e-02 eta: 2 days, 11:18:26 time: 0.4933 data_time: 0.0425 memory: 18108 grad_norm: 2.9360 loss: 4.9499 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8562 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.0937 2023/01/31 18:02:50 - mmengine - INFO - Epoch(train) [34][ 480/1879] lr: 9.8029e-02 eta: 2 days, 11:18:14 time: 0.4965 data_time: 0.0309 memory: 18108 grad_norm: 2.9304 loss: 4.9277 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8834 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 2.0443 2023/01/31 18:02:59 - mmengine - INFO - Epoch(train) [34][ 500/1879] lr: 9.8057e-02 eta: 2 days, 11:18:01 time: 0.4888 data_time: 0.0372 memory: 18108 grad_norm: 2.9644 loss: 4.8554 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8015 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0540 2023/01/31 18:03:09 - mmengine - INFO - Epoch(train) [34][ 520/1879] lr: 9.8085e-02 eta: 2 days, 11:17:49 time: 0.4968 data_time: 0.0288 memory: 18108 grad_norm: 3.0227 loss: 4.9217 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9122 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.0095 2023/01/31 18:03:19 - mmengine - INFO - Epoch(train) [34][ 540/1879] lr: 9.8114e-02 eta: 2 days, 11:17:39 time: 0.5058 data_time: 0.0443 memory: 18108 grad_norm: 2.9680 loss: 5.0280 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.9065 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.1215 2023/01/31 18:03:29 - mmengine - INFO - Epoch(train) [34][ 560/1879] lr: 9.8142e-02 eta: 2 days, 11:17:25 time: 0.4845 data_time: 0.0294 memory: 18108 grad_norm: 2.8988 loss: 4.9102 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7958 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.1144 2023/01/31 18:03:39 - mmengine - INFO - Epoch(train) [34][ 580/1879] lr: 9.8170e-02 eta: 2 days, 11:17:12 time: 0.4885 data_time: 0.0366 memory: 18108 grad_norm: 2.9166 loss: 5.0201 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9739 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 2.0463 2023/01/31 18:03:49 - mmengine - INFO - Epoch(train) [34][ 600/1879] lr: 9.8198e-02 eta: 2 days, 11:17:02 time: 0.5108 data_time: 0.0358 memory: 18108 grad_norm: 2.9441 loss: 4.8192 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6825 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 2.1367 2023/01/31 18:03:59 - mmengine - INFO - Epoch(train) [34][ 620/1879] lr: 9.8226e-02 eta: 2 days, 11:16:49 time: 0.4892 data_time: 0.0376 memory: 18108 grad_norm: 2.9869 loss: 4.8307 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.8186 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 2.0120 2023/01/31 18:04:09 - mmengine - INFO - Epoch(train) [34][ 640/1879] lr: 9.8255e-02 eta: 2 days, 11:16:36 time: 0.4894 data_time: 0.0296 memory: 18108 grad_norm: 2.8840 loss: 5.0120 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9980 top1_acc_1: 0.5647 top5_acc_1: 0.7176 loss_cls_1: 2.0140 2023/01/31 18:04:19 - mmengine - INFO - Epoch(train) [34][ 660/1879] lr: 9.8283e-02 eta: 2 days, 11:16:24 time: 0.4977 data_time: 0.0439 memory: 18108 grad_norm: 2.9059 loss: 4.7935 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7752 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.0183 2023/01/31 18:04:29 - mmengine - INFO - Epoch(train) [34][ 680/1879] lr: 9.8311e-02 eta: 2 days, 11:16:13 time: 0.5026 data_time: 0.0291 memory: 18108 grad_norm: 2.8758 loss: 4.9032 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8257 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 2.0775 2023/01/31 18:04:38 - mmengine - INFO - Epoch(train) [34][ 700/1879] lr: 9.8339e-02 eta: 2 days, 11:15:59 time: 0.4837 data_time: 0.0384 memory: 18108 grad_norm: 2.9114 loss: 5.2536 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.1935 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 2.0600 2023/01/31 18:04:48 - mmengine - INFO - Epoch(train) [34][ 720/1879] lr: 9.8367e-02 eta: 2 days, 11:15:46 time: 0.4856 data_time: 0.0285 memory: 18108 grad_norm: 2.8906 loss: 4.7937 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6190 top1_acc_1: 0.4588 top5_acc_1: 0.7294 loss_cls_1: 2.1747 2023/01/31 18:04:58 - mmengine - INFO - Epoch(train) [34][ 740/1879] lr: 9.8395e-02 eta: 2 days, 11:15:35 time: 0.5082 data_time: 0.0437 memory: 18108 grad_norm: 2.9185 loss: 4.5586 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5274 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.0311 2023/01/31 18:05:08 - mmengine - INFO - Epoch(train) [34][ 760/1879] lr: 9.8424e-02 eta: 2 days, 11:15:21 time: 0.4797 data_time: 0.0286 memory: 18108 grad_norm: 2.9548 loss: 5.0738 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 3.0869 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9869 2023/01/31 18:05:18 - mmengine - INFO - Epoch(train) [34][ 780/1879] lr: 9.8452e-02 eta: 2 days, 11:15:09 time: 0.4941 data_time: 0.0369 memory: 18108 grad_norm: 2.9613 loss: 4.8301 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8102 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 2.0199 2023/01/31 18:05:28 - mmengine - INFO - Epoch(train) [34][ 800/1879] lr: 9.8480e-02 eta: 2 days, 11:14:56 time: 0.4946 data_time: 0.0367 memory: 18108 grad_norm: 2.9492 loss: 4.9993 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.8974 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.1019 2023/01/31 18:05:38 - mmengine - INFO - Epoch(train) [34][ 820/1879] lr: 9.8508e-02 eta: 2 days, 11:14:47 time: 0.5148 data_time: 0.0371 memory: 18108 grad_norm: 2.9082 loss: 5.0079 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.9692 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0387 2023/01/31 18:05:48 - mmengine - INFO - Epoch(train) [34][ 840/1879] lr: 9.8536e-02 eta: 2 days, 11:14:32 time: 0.4782 data_time: 0.0335 memory: 18108 grad_norm: 2.8885 loss: 4.9267 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8027 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.1240 2023/01/31 18:05:57 - mmengine - INFO - Epoch(train) [34][ 860/1879] lr: 9.8564e-02 eta: 2 days, 11:14:21 time: 0.4981 data_time: 0.0408 memory: 18108 grad_norm: 2.8814 loss: 4.6979 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6234 top1_acc_1: 0.6706 top5_acc_1: 0.7882 loss_cls_1: 2.0745 2023/01/31 18:06:07 - mmengine - INFO - Epoch(train) [34][ 880/1879] lr: 9.8593e-02 eta: 2 days, 11:14:09 time: 0.4970 data_time: 0.0355 memory: 18108 grad_norm: 2.9280 loss: 4.8752 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7108 top1_acc_1: 0.5059 top5_acc_1: 0.6824 loss_cls_1: 2.1645 2023/01/31 18:06:17 - mmengine - INFO - Epoch(train) [34][ 900/1879] lr: 9.8621e-02 eta: 2 days, 11:13:57 time: 0.4997 data_time: 0.0345 memory: 18108 grad_norm: 2.9098 loss: 4.7577 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7532 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 2.0045 2023/01/31 18:06:27 - mmengine - INFO - Epoch(train) [34][ 920/1879] lr: 9.8649e-02 eta: 2 days, 11:13:44 time: 0.4866 data_time: 0.0348 memory: 18108 grad_norm: 2.8802 loss: 4.7446 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7267 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.0179 2023/01/31 18:06:37 - mmengine - INFO - Epoch(train) [34][ 940/1879] lr: 9.8677e-02 eta: 2 days, 11:13:33 time: 0.5040 data_time: 0.0353 memory: 18108 grad_norm: 2.9791 loss: 4.7076 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6482 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 2.0594 2023/01/31 18:06:47 - mmengine - INFO - Epoch(train) [34][ 960/1879] lr: 9.8705e-02 eta: 2 days, 11:13:21 time: 0.4975 data_time: 0.0351 memory: 18108 grad_norm: 2.9529 loss: 4.7656 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7665 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.9991 2023/01/31 18:06:57 - mmengine - INFO - Epoch(train) [34][ 980/1879] lr: 9.8734e-02 eta: 2 days, 11:13:09 time: 0.4981 data_time: 0.0314 memory: 18108 grad_norm: 2.9841 loss: 4.9988 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.9202 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.0786 2023/01/31 18:07:04 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 18:07:07 - mmengine - INFO - Epoch(train) [34][1000/1879] lr: 9.8762e-02 eta: 2 days, 11:12:56 time: 0.4900 data_time: 0.0364 memory: 18108 grad_norm: 2.9557 loss: 5.1002 top1_acc_0: 0.0625 top5_acc_0: 0.4375 loss_cls_0: 2.9902 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 2.1100 2023/01/31 18:07:17 - mmengine - INFO - Epoch(train) [34][1020/1879] lr: 9.8790e-02 eta: 2 days, 11:12:44 time: 0.4975 data_time: 0.0298 memory: 18108 grad_norm: 2.8780 loss: 4.9140 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9006 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 2.0134 2023/01/31 18:07:27 - mmengine - INFO - Epoch(train) [34][1040/1879] lr: 9.8818e-02 eta: 2 days, 11:12:33 time: 0.5002 data_time: 0.0367 memory: 18108 grad_norm: 2.8926 loss: 4.8595 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7939 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 2.0656 2023/01/31 18:07:37 - mmengine - INFO - Epoch(train) [34][1060/1879] lr: 9.8846e-02 eta: 2 days, 11:12:20 time: 0.4924 data_time: 0.0330 memory: 18108 grad_norm: 2.9132 loss: 4.9507 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9363 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 2.0143 2023/01/31 18:07:46 - mmengine - INFO - Epoch(train) [34][1080/1879] lr: 9.8874e-02 eta: 2 days, 11:12:07 time: 0.4834 data_time: 0.0360 memory: 18108 grad_norm: 2.9374 loss: 4.8261 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8091 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.0170 2023/01/31 18:07:57 - mmengine - INFO - Epoch(train) [34][1100/1879] lr: 9.8903e-02 eta: 2 days, 11:11:55 time: 0.5015 data_time: 0.0322 memory: 18108 grad_norm: 2.8908 loss: 4.8896 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7754 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.1142 2023/01/31 18:08:06 - mmengine - INFO - Epoch(train) [34][1120/1879] lr: 9.8931e-02 eta: 2 days, 11:11:43 time: 0.4973 data_time: 0.0345 memory: 18108 grad_norm: 2.9011 loss: 5.0840 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.0163 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 2.0677 2023/01/31 18:08:16 - mmengine - INFO - Epoch(train) [34][1140/1879] lr: 9.8959e-02 eta: 2 days, 11:11:32 time: 0.4973 data_time: 0.0387 memory: 18108 grad_norm: 2.8956 loss: 4.9188 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7954 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.1234 2023/01/31 18:08:26 - mmengine - INFO - Epoch(train) [34][1160/1879] lr: 9.8987e-02 eta: 2 days, 11:11:19 time: 0.4954 data_time: 0.0377 memory: 18108 grad_norm: 2.9014 loss: 4.9379 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.8006 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 2.1373 2023/01/31 18:08:36 - mmengine - INFO - Epoch(train) [34][1180/1879] lr: 9.9015e-02 eta: 2 days, 11:11:09 time: 0.5066 data_time: 0.0316 memory: 18108 grad_norm: 2.9422 loss: 5.0065 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8986 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.1079 2023/01/31 18:08:46 - mmengine - INFO - Epoch(train) [34][1200/1879] lr: 9.9043e-02 eta: 2 days, 11:10:57 time: 0.4993 data_time: 0.0437 memory: 18108 grad_norm: 2.9108 loss: 4.7187 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7458 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.9729 2023/01/31 18:08:56 - mmengine - INFO - Epoch(train) [34][1220/1879] lr: 9.9072e-02 eta: 2 days, 11:10:45 time: 0.4946 data_time: 0.0314 memory: 18108 grad_norm: 2.9267 loss: 4.8558 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 2.7141 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 2.1416 2023/01/31 18:09:06 - mmengine - INFO - Epoch(train) [34][1240/1879] lr: 9.9100e-02 eta: 2 days, 11:10:33 time: 0.4977 data_time: 0.0354 memory: 18108 grad_norm: 2.8624 loss: 4.9669 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8625 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 2.1044 2023/01/31 18:09:17 - mmengine - INFO - Epoch(train) [34][1260/1879] lr: 9.9128e-02 eta: 2 days, 11:10:23 time: 0.5108 data_time: 0.0313 memory: 18108 grad_norm: 2.9311 loss: 4.7877 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7616 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0261 2023/01/31 18:09:26 - mmengine - INFO - Epoch(train) [34][1280/1879] lr: 9.9156e-02 eta: 2 days, 11:10:11 time: 0.4978 data_time: 0.0430 memory: 18108 grad_norm: 2.8771 loss: 4.8792 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7688 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 2.1104 2023/01/31 18:09:37 - mmengine - INFO - Epoch(train) [34][1300/1879] lr: 9.9184e-02 eta: 2 days, 11:10:01 time: 0.5082 data_time: 0.0310 memory: 18108 grad_norm: 2.8911 loss: 4.6311 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6068 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 2.0242 2023/01/31 18:09:47 - mmengine - INFO - Epoch(train) [34][1320/1879] lr: 9.9212e-02 eta: 2 days, 11:09:49 time: 0.4987 data_time: 0.0366 memory: 18108 grad_norm: 2.9420 loss: 5.0660 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.9853 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.0808 2023/01/31 18:09:57 - mmengine - INFO - Epoch(train) [34][1340/1879] lr: 9.9241e-02 eta: 2 days, 11:09:38 time: 0.5042 data_time: 0.0299 memory: 18108 grad_norm: 2.9410 loss: 4.7519 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.7211 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 2.0307 2023/01/31 18:10:07 - mmengine - INFO - Epoch(train) [34][1360/1879] lr: 9.9269e-02 eta: 2 days, 11:09:27 time: 0.5008 data_time: 0.0415 memory: 18108 grad_norm: 2.8557 loss: 4.9651 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8927 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.0724 2023/01/31 18:10:17 - mmengine - INFO - Epoch(train) [34][1380/1879] lr: 9.9297e-02 eta: 2 days, 11:09:16 time: 0.5044 data_time: 0.0307 memory: 18108 grad_norm: 2.9359 loss: 4.8875 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8060 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.0815 2023/01/31 18:10:27 - mmengine - INFO - Epoch(train) [34][1400/1879] lr: 9.9325e-02 eta: 2 days, 11:09:05 time: 0.5042 data_time: 0.0366 memory: 18108 grad_norm: 2.9111 loss: 5.0272 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9765 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 2.0507 2023/01/31 18:10:37 - mmengine - INFO - Epoch(train) [34][1420/1879] lr: 9.9353e-02 eta: 2 days, 11:08:54 time: 0.5029 data_time: 0.0392 memory: 18108 grad_norm: 2.8855 loss: 4.8938 top1_acc_0: 0.2500 top5_acc_0: 0.8750 loss_cls_0: 2.7094 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 2.1844 2023/01/31 18:10:47 - mmengine - INFO - Epoch(train) [34][1440/1879] lr: 9.9382e-02 eta: 2 days, 11:08:42 time: 0.4942 data_time: 0.0340 memory: 18108 grad_norm: 2.8938 loss: 5.0206 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.9798 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.0408 2023/01/31 18:10:57 - mmengine - INFO - Epoch(train) [34][1460/1879] lr: 9.9410e-02 eta: 2 days, 11:08:31 time: 0.5070 data_time: 0.0335 memory: 18108 grad_norm: 2.8927 loss: 4.7413 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7516 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.9896 2023/01/31 18:11:07 - mmengine - INFO - Epoch(train) [34][1480/1879] lr: 9.9438e-02 eta: 2 days, 11:08:19 time: 0.4934 data_time: 0.0352 memory: 18108 grad_norm: 2.9325 loss: 5.0118 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 3.0663 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.9455 2023/01/31 18:11:17 - mmengine - INFO - Epoch(train) [34][1500/1879] lr: 9.9466e-02 eta: 2 days, 11:08:09 time: 0.5147 data_time: 0.0395 memory: 18108 grad_norm: 2.8965 loss: 4.7498 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7442 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.0056 2023/01/31 18:11:27 - mmengine - INFO - Epoch(train) [34][1520/1879] lr: 9.9494e-02 eta: 2 days, 11:07:55 time: 0.4842 data_time: 0.0349 memory: 18108 grad_norm: 2.8341 loss: 4.9407 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8612 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0796 2023/01/31 18:11:37 - mmengine - INFO - Epoch(train) [34][1540/1879] lr: 9.9522e-02 eta: 2 days, 11:07:44 time: 0.5019 data_time: 0.0307 memory: 18108 grad_norm: 2.9551 loss: 4.8482 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9301 top1_acc_1: 0.5294 top5_acc_1: 0.6941 loss_cls_1: 1.9181 2023/01/31 18:11:47 - mmengine - INFO - Epoch(train) [34][1560/1879] lr: 9.9551e-02 eta: 2 days, 11:07:32 time: 0.4923 data_time: 0.0414 memory: 18108 grad_norm: 2.8858 loss: 4.9087 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8047 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 2.1039 2023/01/31 18:11:57 - mmengine - INFO - Epoch(train) [34][1580/1879] lr: 9.9579e-02 eta: 2 days, 11:07:21 time: 0.5041 data_time: 0.0321 memory: 18108 grad_norm: 2.9187 loss: 4.9674 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9300 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 2.0374 2023/01/31 18:12:07 - mmengine - INFO - Epoch(train) [34][1600/1879] lr: 9.9607e-02 eta: 2 days, 11:07:08 time: 0.4896 data_time: 0.0366 memory: 18108 grad_norm: 2.8639 loss: 4.9846 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8223 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 2.1623 2023/01/31 18:12:17 - mmengine - INFO - Epoch(train) [34][1620/1879] lr: 9.9635e-02 eta: 2 days, 11:06:56 time: 0.4934 data_time: 0.0326 memory: 18108 grad_norm: 2.9111 loss: 4.6999 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6538 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0462 2023/01/31 18:12:27 - mmengine - INFO - Epoch(train) [34][1640/1879] lr: 9.9663e-02 eta: 2 days, 11:06:44 time: 0.4983 data_time: 0.0355 memory: 18108 grad_norm: 2.8711 loss: 4.7658 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7329 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 2.0330 2023/01/31 18:12:36 - mmengine - INFO - Epoch(train) [34][1660/1879] lr: 9.9691e-02 eta: 2 days, 11:06:32 time: 0.4985 data_time: 0.0322 memory: 18108 grad_norm: 2.8999 loss: 4.8316 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7418 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.0899 2023/01/31 18:12:46 - mmengine - INFO - Epoch(train) [34][1680/1879] lr: 9.9720e-02 eta: 2 days, 11:06:19 time: 0.4892 data_time: 0.0365 memory: 18108 grad_norm: 2.9137 loss: 4.9775 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8246 top1_acc_1: 0.4471 top5_acc_1: 0.7176 loss_cls_1: 2.1529 2023/01/31 18:12:56 - mmengine - INFO - Epoch(train) [34][1700/1879] lr: 9.9748e-02 eta: 2 days, 11:06:07 time: 0.4953 data_time: 0.0306 memory: 18108 grad_norm: 2.8692 loss: 4.7100 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6625 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 2.0475 2023/01/31 18:13:06 - mmengine - INFO - Epoch(train) [34][1720/1879] lr: 9.9776e-02 eta: 2 days, 11:05:56 time: 0.5014 data_time: 0.0488 memory: 18108 grad_norm: 2.9357 loss: 5.1149 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 3.0239 top1_acc_1: 0.4118 top5_acc_1: 0.7176 loss_cls_1: 2.0910 2023/01/31 18:13:16 - mmengine - INFO - Epoch(train) [34][1740/1879] lr: 9.9804e-02 eta: 2 days, 11:05:46 time: 0.5130 data_time: 0.0321 memory: 18108 grad_norm: 2.9101 loss: 4.7778 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.7124 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0655 2023/01/31 18:13:26 - mmengine - INFO - Epoch(train) [34][1760/1879] lr: 9.9832e-02 eta: 2 days, 11:05:33 time: 0.4878 data_time: 0.0339 memory: 18108 grad_norm: 2.8850 loss: 4.6589 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5604 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.0985 2023/01/31 18:13:36 - mmengine - INFO - Epoch(train) [34][1780/1879] lr: 9.9861e-02 eta: 2 days, 11:05:21 time: 0.4958 data_time: 0.0386 memory: 18108 grad_norm: 2.9588 loss: 4.9136 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8265 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.0871 2023/01/31 18:13:46 - mmengine - INFO - Epoch(train) [34][1800/1879] lr: 9.9889e-02 eta: 2 days, 11:05:07 time: 0.4776 data_time: 0.0376 memory: 18108 grad_norm: 2.9181 loss: 4.8958 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8653 top1_acc_1: 0.4353 top5_acc_1: 0.7882 loss_cls_1: 2.0305 2023/01/31 18:13:56 - mmengine - INFO - Epoch(train) [34][1820/1879] lr: 9.9917e-02 eta: 2 days, 11:04:57 time: 0.5134 data_time: 0.0314 memory: 18108 grad_norm: 2.8577 loss: 4.8615 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7162 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 2.1453 2023/01/31 18:14:06 - mmengine - INFO - Epoch(train) [34][1840/1879] lr: 9.9945e-02 eta: 2 days, 11:04:45 time: 0.4970 data_time: 0.0386 memory: 18108 grad_norm: 2.9275 loss: 4.7254 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.6853 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 2.0401 2023/01/31 18:14:16 - mmengine - INFO - Epoch(train) [34][1860/1879] lr: 9.9973e-02 eta: 2 days, 11:04:35 time: 0.5109 data_time: 0.0309 memory: 18108 grad_norm: 2.8729 loss: 4.9118 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7669 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 2.1448 2023/01/31 18:14:26 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 18:14:26 - mmengine - INFO - Epoch(train) [34][1879/1879] lr: 1.0000e-01 eta: 2 days, 11:04:24 time: 0.4979 data_time: 0.0327 memory: 18108 grad_norm: 2.9516 loss: 4.9783 top1_acc_0: 0.0000 top5_acc_0: 0.8571 loss_cls_0: 2.8335 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 2.1448 2023/01/31 18:14:41 - mmengine - INFO - Epoch(train) [35][ 20/1879] lr: 1.0000e-01 eta: 2 days, 11:04:39 time: 0.7091 data_time: 0.2551 memory: 18108 grad_norm: 2.9055 loss: 4.6188 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6343 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9845 2023/01/31 18:14:50 - mmengine - INFO - Epoch(train) [35][ 40/1879] lr: 1.0000e-01 eta: 2 days, 11:04:23 time: 0.4623 data_time: 0.0339 memory: 18108 grad_norm: 2.8513 loss: 4.8494 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8347 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 2.0147 2023/01/31 18:14:59 - mmengine - INFO - Epoch(train) [35][ 60/1879] lr: 1.0000e-01 eta: 2 days, 11:04:07 time: 0.4647 data_time: 0.0355 memory: 18108 grad_norm: 2.8864 loss: 4.6890 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7338 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.9552 2023/01/31 18:15:09 - mmengine - INFO - Epoch(train) [35][ 80/1879] lr: 1.0000e-01 eta: 2 days, 11:03:56 time: 0.5043 data_time: 0.0417 memory: 18108 grad_norm: 2.8547 loss: 4.7213 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6473 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.0740 2023/01/31 18:15:19 - mmengine - INFO - Epoch(train) [35][ 100/1879] lr: 1.0000e-01 eta: 2 days, 11:03:40 time: 0.4682 data_time: 0.0369 memory: 18108 grad_norm: 2.8759 loss: 4.7057 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7475 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.9582 2023/01/31 18:15:25 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 18:15:28 - mmengine - INFO - Epoch(train) [35][ 120/1879] lr: 1.0000e-01 eta: 2 days, 11:03:25 time: 0.4680 data_time: 0.0335 memory: 18108 grad_norm: 2.8737 loss: 4.9628 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9186 top1_acc_1: 0.6118 top5_acc_1: 0.7294 loss_cls_1: 2.0442 2023/01/31 18:15:38 - mmengine - INFO - Epoch(train) [35][ 140/1879] lr: 1.0000e-01 eta: 2 days, 11:03:12 time: 0.4879 data_time: 0.0427 memory: 18108 grad_norm: 2.9603 loss: 4.6142 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6389 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.9753 2023/01/31 18:15:47 - mmengine - INFO - Epoch(train) [35][ 160/1879] lr: 1.0000e-01 eta: 2 days, 11:02:58 time: 0.4835 data_time: 0.0332 memory: 18108 grad_norm: 2.8957 loss: 4.7358 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7255 top1_acc_1: 0.4706 top5_acc_1: 0.8000 loss_cls_1: 2.0103 2023/01/31 18:15:57 - mmengine - INFO - Epoch(train) [35][ 180/1879] lr: 1.0000e-01 eta: 2 days, 11:02:43 time: 0.4699 data_time: 0.0370 memory: 18108 grad_norm: 2.8757 loss: 4.8877 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8057 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.0819 2023/01/31 18:16:06 - mmengine - INFO - Epoch(train) [35][ 200/1879] lr: 1.0000e-01 eta: 2 days, 11:02:27 time: 0.4675 data_time: 0.0340 memory: 18108 grad_norm: 2.8905 loss: 4.7104 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6890 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 2.0214 2023/01/31 18:16:16 - mmengine - INFO - Epoch(train) [35][ 220/1879] lr: 1.0000e-01 eta: 2 days, 11:02:16 time: 0.5009 data_time: 0.0411 memory: 18108 grad_norm: 2.9221 loss: 4.7785 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6832 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 2.0953 2023/01/31 18:16:26 - mmengine - INFO - Epoch(train) [35][ 240/1879] lr: 1.0000e-01 eta: 2 days, 11:02:00 time: 0.4705 data_time: 0.0335 memory: 18108 grad_norm: 2.9081 loss: 4.6683 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7357 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.9326 2023/01/31 18:16:35 - mmengine - INFO - Epoch(train) [35][ 260/1879] lr: 1.0000e-01 eta: 2 days, 11:01:45 time: 0.4679 data_time: 0.0348 memory: 18108 grad_norm: 2.9203 loss: 4.8644 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8103 top1_acc_1: 0.5647 top5_acc_1: 0.8706 loss_cls_1: 2.0541 2023/01/31 18:16:44 - mmengine - INFO - Epoch(train) [35][ 280/1879] lr: 1.0000e-01 eta: 2 days, 11:01:29 time: 0.4704 data_time: 0.0329 memory: 18108 grad_norm: 2.8795 loss: 4.8712 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8869 top1_acc_1: 0.4471 top5_acc_1: 0.7529 loss_cls_1: 1.9843 2023/01/31 18:16:54 - mmengine - INFO - Epoch(train) [35][ 300/1879] lr: 1.0000e-01 eta: 2 days, 11:01:17 time: 0.4916 data_time: 0.0422 memory: 18108 grad_norm: 2.8943 loss: 4.8773 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8168 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 2.0605 2023/01/31 18:17:04 - mmengine - INFO - Epoch(train) [35][ 320/1879] lr: 1.0000e-01 eta: 2 days, 11:01:02 time: 0.4741 data_time: 0.0339 memory: 18108 grad_norm: 2.9316 loss: 5.0414 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.9905 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 2.0509 2023/01/31 18:17:13 - mmengine - INFO - Epoch(train) [35][ 340/1879] lr: 1.0000e-01 eta: 2 days, 11:00:47 time: 0.4763 data_time: 0.0338 memory: 18108 grad_norm: 2.8852 loss: 4.9029 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.8584 top1_acc_1: 0.5529 top5_acc_1: 0.6941 loss_cls_1: 2.0445 2023/01/31 18:17:23 - mmengine - INFO - Epoch(train) [35][ 360/1879] lr: 1.0000e-01 eta: 2 days, 11:00:36 time: 0.4975 data_time: 0.0388 memory: 18108 grad_norm: 2.8703 loss: 4.9387 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9405 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 1.9982 2023/01/31 18:17:33 - mmengine - INFO - Epoch(train) [35][ 380/1879] lr: 1.0000e-01 eta: 2 days, 11:00:23 time: 0.4918 data_time: 0.0354 memory: 18108 grad_norm: 2.9403 loss: 4.6960 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6871 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.0090 2023/01/31 18:17:43 - mmengine - INFO - Epoch(train) [35][ 400/1879] lr: 1.0000e-01 eta: 2 days, 11:00:09 time: 0.4757 data_time: 0.0321 memory: 18108 grad_norm: 2.9478 loss: 5.1267 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.0508 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 2.0758 2023/01/31 18:17:52 - mmengine - INFO - Epoch(train) [35][ 420/1879] lr: 1.0000e-01 eta: 2 days, 10:59:54 time: 0.4795 data_time: 0.0345 memory: 18108 grad_norm: 2.9013 loss: 4.8546 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8592 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9954 2023/01/31 18:18:02 - mmengine - INFO - Epoch(train) [35][ 440/1879] lr: 1.0000e-01 eta: 2 days, 10:59:43 time: 0.5005 data_time: 0.0388 memory: 18108 grad_norm: 2.8906 loss: 5.0743 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 3.0463 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 2.0281 2023/01/31 18:18:12 - mmengine - INFO - Epoch(train) [35][ 460/1879] lr: 1.0000e-01 eta: 2 days, 10:59:29 time: 0.4802 data_time: 0.0343 memory: 18108 grad_norm: 2.8660 loss: 4.9586 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8702 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 2.0885 2023/01/31 18:18:21 - mmengine - INFO - Epoch(train) [35][ 480/1879] lr: 1.0000e-01 eta: 2 days, 10:59:14 time: 0.4721 data_time: 0.0319 memory: 18108 grad_norm: 2.9204 loss: 4.7188 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7301 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.9888 2023/01/31 18:18:31 - mmengine - INFO - Epoch(train) [35][ 500/1879] lr: 1.0000e-01 eta: 2 days, 10:59:02 time: 0.4945 data_time: 0.0426 memory: 18108 grad_norm: 2.9231 loss: 5.0087 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.9884 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0203 2023/01/31 18:18:41 - mmengine - INFO - Epoch(train) [35][ 520/1879] lr: 1.0000e-01 eta: 2 days, 10:58:50 time: 0.4994 data_time: 0.0322 memory: 18108 grad_norm: 2.9020 loss: 4.8955 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.7767 top1_acc_1: 0.5059 top5_acc_1: 0.6824 loss_cls_1: 2.1188 2023/01/31 18:18:51 - mmengine - INFO - Epoch(train) [35][ 540/1879] lr: 1.0000e-01 eta: 2 days, 10:58:36 time: 0.4780 data_time: 0.0366 memory: 18108 grad_norm: 2.9045 loss: 4.9099 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8657 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 2.0442 2023/01/31 18:19:00 - mmengine - INFO - Epoch(train) [35][ 560/1879] lr: 1.0000e-01 eta: 2 days, 10:58:21 time: 0.4734 data_time: 0.0329 memory: 18108 grad_norm: 2.9178 loss: 5.0734 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 2.9929 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.0805 2023/01/31 18:19:10 - mmengine - INFO - Epoch(train) [35][ 580/1879] lr: 1.0000e-01 eta: 2 days, 10:58:12 time: 0.5163 data_time: 0.0351 memory: 18108 grad_norm: 2.8970 loss: 4.5803 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5650 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.0152 2023/01/31 18:19:20 - mmengine - INFO - Epoch(train) [35][ 600/1879] lr: 9.9999e-02 eta: 2 days, 10:57:57 time: 0.4769 data_time: 0.0342 memory: 18108 grad_norm: 2.9554 loss: 4.9071 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.7814 top1_acc_1: 0.5059 top5_acc_1: 0.7059 loss_cls_1: 2.1257 2023/01/31 18:19:30 - mmengine - INFO - Epoch(train) [35][ 620/1879] lr: 9.9999e-02 eta: 2 days, 10:57:43 time: 0.4776 data_time: 0.0346 memory: 18108 grad_norm: 2.9620 loss: 4.7366 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6660 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 2.0706 2023/01/31 18:19:39 - mmengine - INFO - Epoch(train) [35][ 640/1879] lr: 9.9999e-02 eta: 2 days, 10:57:31 time: 0.4937 data_time: 0.0337 memory: 18108 grad_norm: 2.9493 loss: 4.9511 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8725 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 2.0786 2023/01/31 18:19:49 - mmengine - INFO - Epoch(train) [35][ 660/1879] lr: 9.9999e-02 eta: 2 days, 10:57:20 time: 0.5027 data_time: 0.0346 memory: 18108 grad_norm: 2.9389 loss: 5.1316 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 3.0445 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.0871 2023/01/31 18:19:59 - mmengine - INFO - Epoch(train) [35][ 680/1879] lr: 9.9999e-02 eta: 2 days, 10:57:05 time: 0.4722 data_time: 0.0342 memory: 18108 grad_norm: 2.8776 loss: 4.8571 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8037 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 2.0534 2023/01/31 18:20:08 - mmengine - INFO - Epoch(train) [35][ 700/1879] lr: 9.9999e-02 eta: 2 days, 10:56:50 time: 0.4741 data_time: 0.0350 memory: 18108 grad_norm: 2.8824 loss: 5.1621 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 3.0166 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.1456 2023/01/31 18:20:18 - mmengine - INFO - Epoch(train) [35][ 720/1879] lr: 9.9999e-02 eta: 2 days, 10:56:39 time: 0.5040 data_time: 0.0399 memory: 18108 grad_norm: 2.8832 loss: 5.0431 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8734 top1_acc_1: 0.4588 top5_acc_1: 0.6471 loss_cls_1: 2.1697 2023/01/31 18:20:28 - mmengine - INFO - Epoch(train) [35][ 740/1879] lr: 9.9999e-02 eta: 2 days, 10:56:27 time: 0.4934 data_time: 0.0359 memory: 18108 grad_norm: 2.8674 loss: 4.9079 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8786 top1_acc_1: 0.4824 top5_acc_1: 0.6588 loss_cls_1: 2.0292 2023/01/31 18:20:38 - mmengine - INFO - Epoch(train) [35][ 760/1879] lr: 9.9999e-02 eta: 2 days, 10:56:11 time: 0.4684 data_time: 0.0342 memory: 18108 grad_norm: 2.9270 loss: 4.6647 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6212 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.0435 2023/01/31 18:20:48 - mmengine - INFO - Epoch(train) [35][ 780/1879] lr: 9.9999e-02 eta: 2 days, 10:55:59 time: 0.4923 data_time: 0.0362 memory: 18108 grad_norm: 2.9012 loss: 4.7593 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6461 top1_acc_1: 0.4824 top5_acc_1: 0.6824 loss_cls_1: 2.1132 2023/01/31 18:20:57 - mmengine - INFO - Epoch(train) [35][ 800/1879] lr: 9.9999e-02 eta: 2 days, 10:55:47 time: 0.4954 data_time: 0.0402 memory: 18108 grad_norm: 2.9476 loss: 4.8253 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8787 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9466 2023/01/31 18:21:07 - mmengine - INFO - Epoch(train) [35][ 820/1879] lr: 9.9999e-02 eta: 2 days, 10:55:32 time: 0.4728 data_time: 0.0345 memory: 18108 grad_norm: 2.9206 loss: 4.9661 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8795 top1_acc_1: 0.4471 top5_acc_1: 0.7412 loss_cls_1: 2.0866 2023/01/31 18:21:16 - mmengine - INFO - Epoch(train) [35][ 840/1879] lr: 9.9999e-02 eta: 2 days, 10:55:17 time: 0.4698 data_time: 0.0335 memory: 18108 grad_norm: 2.8726 loss: 4.9124 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8162 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 2.0962 2023/01/31 18:21:26 - mmengine - INFO - Epoch(train) [35][ 860/1879] lr: 9.9999e-02 eta: 2 days, 10:55:05 time: 0.4966 data_time: 0.0407 memory: 18108 grad_norm: 2.9171 loss: 4.9763 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9009 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.0754 2023/01/31 18:21:36 - mmengine - INFO - Epoch(train) [35][ 880/1879] lr: 9.9999e-02 eta: 2 days, 10:54:51 time: 0.4832 data_time: 0.0343 memory: 18108 grad_norm: 2.8957 loss: 5.0217 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.9300 top1_acc_1: 0.5059 top5_acc_1: 0.7059 loss_cls_1: 2.0917 2023/01/31 18:21:45 - mmengine - INFO - Epoch(train) [35][ 900/1879] lr: 9.9999e-02 eta: 2 days, 10:54:36 time: 0.4740 data_time: 0.0343 memory: 18108 grad_norm: 2.8469 loss: 4.8411 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7552 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 2.0859 2023/01/31 18:21:55 - mmengine - INFO - Epoch(train) [35][ 920/1879] lr: 9.9999e-02 eta: 2 days, 10:54:23 time: 0.4809 data_time: 0.0338 memory: 18108 grad_norm: 2.8773 loss: 4.9438 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9268 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 2.0170 2023/01/31 18:22:05 - mmengine - INFO - Epoch(train) [35][ 940/1879] lr: 9.9999e-02 eta: 2 days, 10:54:10 time: 0.4939 data_time: 0.0366 memory: 18108 grad_norm: 2.9631 loss: 5.0061 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9155 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.0906 2023/01/31 18:22:14 - mmengine - INFO - Epoch(train) [35][ 960/1879] lr: 9.9999e-02 eta: 2 days, 10:53:56 time: 0.4731 data_time: 0.0351 memory: 18108 grad_norm: 2.8579 loss: 5.0175 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8487 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 2.1688 2023/01/31 18:22:24 - mmengine - INFO - Epoch(train) [35][ 980/1879] lr: 9.9999e-02 eta: 2 days, 10:53:41 time: 0.4755 data_time: 0.0352 memory: 18108 grad_norm: 2.8714 loss: 4.8889 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8272 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 2.0617 2023/01/31 18:22:34 - mmengine - INFO - Epoch(train) [35][1000/1879] lr: 9.9999e-02 eta: 2 days, 10:53:28 time: 0.4883 data_time: 0.0345 memory: 18108 grad_norm: 2.9326 loss: 5.0031 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9557 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 2.0474 2023/01/31 18:22:43 - mmengine - INFO - Epoch(train) [35][1020/1879] lr: 9.9999e-02 eta: 2 days, 10:53:15 time: 0.4879 data_time: 0.0352 memory: 18108 grad_norm: 2.9149 loss: 5.2866 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.2119 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0747 2023/01/31 18:22:53 - mmengine - INFO - Epoch(train) [35][1040/1879] lr: 9.9998e-02 eta: 2 days, 10:53:00 time: 0.4726 data_time: 0.0372 memory: 18108 grad_norm: 2.9021 loss: 4.9825 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8944 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 2.0881 2023/01/31 18:23:03 - mmengine - INFO - Epoch(train) [35][1060/1879] lr: 9.9998e-02 eta: 2 days, 10:52:47 time: 0.4859 data_time: 0.0306 memory: 18108 grad_norm: 2.8507 loss: 4.7124 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6046 top1_acc_1: 0.4353 top5_acc_1: 0.6941 loss_cls_1: 2.1078 2023/01/31 18:23:12 - mmengine - INFO - Epoch(train) [35][1080/1879] lr: 9.9998e-02 eta: 2 days, 10:52:33 time: 0.4820 data_time: 0.0342 memory: 18108 grad_norm: 2.8601 loss: 4.7374 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6444 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.0930 2023/01/31 18:23:22 - mmengine - INFO - Epoch(train) [35][1100/1879] lr: 9.9998e-02 eta: 2 days, 10:52:20 time: 0.4871 data_time: 0.0302 memory: 18108 grad_norm: 2.9381 loss: 4.9507 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 2.8863 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.0644 2023/01/31 18:23:29 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 18:23:32 - mmengine - INFO - Epoch(train) [35][1120/1879] lr: 9.9998e-02 eta: 2 days, 10:52:06 time: 0.4772 data_time: 0.0363 memory: 18108 grad_norm: 2.8881 loss: 4.9628 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 2.8408 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.1220 2023/01/31 18:23:41 - mmengine - INFO - Epoch(train) [35][1140/1879] lr: 9.9998e-02 eta: 2 days, 10:51:54 time: 0.4923 data_time: 0.0364 memory: 18108 grad_norm: 2.9423 loss: 4.9739 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.9457 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.0282 2023/01/31 18:23:51 - mmengine - INFO - Epoch(train) [35][1160/1879] lr: 9.9998e-02 eta: 2 days, 10:51:40 time: 0.4810 data_time: 0.0350 memory: 18108 grad_norm: 2.9799 loss: 5.1147 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 3.0464 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 2.0683 2023/01/31 18:24:01 - mmengine - INFO - Epoch(train) [35][1180/1879] lr: 9.9998e-02 eta: 2 days, 10:51:26 time: 0.4782 data_time: 0.0302 memory: 18108 grad_norm: 2.8848 loss: 4.8318 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7705 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.0613 2023/01/31 18:24:10 - mmengine - INFO - Epoch(train) [35][1200/1879] lr: 9.9998e-02 eta: 2 days, 10:51:11 time: 0.4778 data_time: 0.0347 memory: 18108 grad_norm: 2.8804 loss: 4.9630 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8478 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.1153 2023/01/31 18:24:20 - mmengine - INFO - Epoch(train) [35][1220/1879] lr: 9.9998e-02 eta: 2 days, 10:50:57 time: 0.4805 data_time: 0.0386 memory: 18108 grad_norm: 2.8324 loss: 4.9018 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7286 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 2.1732 2023/01/31 18:24:29 - mmengine - INFO - Epoch(train) [35][1240/1879] lr: 9.9998e-02 eta: 2 days, 10:50:44 time: 0.4836 data_time: 0.0352 memory: 18108 grad_norm: 2.8624 loss: 4.8388 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.8008 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 2.0380 2023/01/31 18:24:39 - mmengine - INFO - Epoch(train) [35][1260/1879] lr: 9.9998e-02 eta: 2 days, 10:50:30 time: 0.4804 data_time: 0.0361 memory: 18108 grad_norm: 2.8328 loss: 4.8333 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7728 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 2.0605 2023/01/31 18:24:49 - mmengine - INFO - Epoch(train) [35][1280/1879] lr: 9.9998e-02 eta: 2 days, 10:50:17 time: 0.4853 data_time: 0.0291 memory: 18108 grad_norm: 2.9017 loss: 5.1393 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 3.0363 top1_acc_1: 0.5176 top5_acc_1: 0.6824 loss_cls_1: 2.1030 2023/01/31 18:24:58 - mmengine - INFO - Epoch(train) [35][1300/1879] lr: 9.9998e-02 eta: 2 days, 10:50:03 time: 0.4784 data_time: 0.0357 memory: 18108 grad_norm: 2.9470 loss: 5.0765 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9830 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0935 2023/01/31 18:25:08 - mmengine - INFO - Epoch(train) [35][1320/1879] lr: 9.9998e-02 eta: 2 days, 10:49:49 time: 0.4801 data_time: 0.0315 memory: 18108 grad_norm: 2.9390 loss: 4.7166 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6206 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0960 2023/01/31 18:25:18 - mmengine - INFO - Epoch(train) [35][1340/1879] lr: 9.9997e-02 eta: 2 days, 10:49:36 time: 0.4883 data_time: 0.0363 memory: 18108 grad_norm: 2.8454 loss: 5.0260 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.9841 top1_acc_1: 0.5294 top5_acc_1: 0.8588 loss_cls_1: 2.0418 2023/01/31 18:25:27 - mmengine - INFO - Epoch(train) [35][1360/1879] lr: 9.9997e-02 eta: 2 days, 10:49:22 time: 0.4778 data_time: 0.0392 memory: 18108 grad_norm: 2.9026 loss: 4.9287 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8256 top1_acc_1: 0.5882 top5_acc_1: 0.7294 loss_cls_1: 2.1031 2023/01/31 18:25:37 - mmengine - INFO - Epoch(train) [35][1380/1879] lr: 9.9997e-02 eta: 2 days, 10:49:09 time: 0.4908 data_time: 0.0374 memory: 18108 grad_norm: 2.9274 loss: 4.7835 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7161 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 2.0674 2023/01/31 18:25:47 - mmengine - INFO - Epoch(train) [35][1400/1879] lr: 9.9997e-02 eta: 2 days, 10:48:55 time: 0.4790 data_time: 0.0318 memory: 18108 grad_norm: 2.8841 loss: 4.8539 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7680 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.0860 2023/01/31 18:25:56 - mmengine - INFO - Epoch(train) [35][1420/1879] lr: 9.9997e-02 eta: 2 days, 10:48:42 time: 0.4836 data_time: 0.0360 memory: 18108 grad_norm: 2.8710 loss: 4.7426 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7553 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.9873 2023/01/31 18:26:06 - mmengine - INFO - Epoch(train) [35][1440/1879] lr: 9.9997e-02 eta: 2 days, 10:48:27 time: 0.4741 data_time: 0.0325 memory: 18108 grad_norm: 2.9176 loss: 4.8631 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 2.8141 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.0490 2023/01/31 18:26:16 - mmengine - INFO - Epoch(train) [35][1460/1879] lr: 9.9997e-02 eta: 2 days, 10:48:14 time: 0.4845 data_time: 0.0357 memory: 18108 grad_norm: 2.8974 loss: 4.9681 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8816 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 2.0865 2023/01/31 18:26:25 - mmengine - INFO - Epoch(train) [35][1480/1879] lr: 9.9997e-02 eta: 2 days, 10:47:59 time: 0.4716 data_time: 0.0333 memory: 18108 grad_norm: 2.8882 loss: 4.7417 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7337 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0080 2023/01/31 18:26:35 - mmengine - INFO - Epoch(train) [35][1500/1879] lr: 9.9997e-02 eta: 2 days, 10:47:46 time: 0.4915 data_time: 0.0430 memory: 18108 grad_norm: 2.9316 loss: 4.7235 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6444 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.0791 2023/01/31 18:26:44 - mmengine - INFO - Epoch(train) [35][1520/1879] lr: 9.9997e-02 eta: 2 days, 10:47:31 time: 0.4706 data_time: 0.0335 memory: 18108 grad_norm: 2.8431 loss: 4.8663 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.8376 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.0287 2023/01/31 18:26:54 - mmengine - INFO - Epoch(train) [35][1540/1879] lr: 9.9997e-02 eta: 2 days, 10:47:19 time: 0.4905 data_time: 0.0367 memory: 18108 grad_norm: 2.8334 loss: 4.8753 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8306 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 2.0447 2023/01/31 18:27:04 - mmengine - INFO - Epoch(train) [35][1560/1879] lr: 9.9997e-02 eta: 2 days, 10:47:06 time: 0.4890 data_time: 0.0395 memory: 18108 grad_norm: 2.9338 loss: 5.1267 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.0398 top1_acc_1: 0.5059 top5_acc_1: 0.8353 loss_cls_1: 2.0868 2023/01/31 18:27:14 - mmengine - INFO - Epoch(train) [35][1580/1879] lr: 9.9996e-02 eta: 2 days, 10:46:52 time: 0.4822 data_time: 0.0371 memory: 18108 grad_norm: 2.9045 loss: 4.9401 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.8208 top1_acc_1: 0.4941 top5_acc_1: 0.6941 loss_cls_1: 2.1193 2023/01/31 18:27:23 - mmengine - INFO - Epoch(train) [35][1600/1879] lr: 9.9996e-02 eta: 2 days, 10:46:38 time: 0.4774 data_time: 0.0315 memory: 18108 grad_norm: 2.8900 loss: 4.7538 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.6964 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 2.0575 2023/01/31 18:27:33 - mmengine - INFO - Epoch(train) [35][1620/1879] lr: 9.9996e-02 eta: 2 days, 10:46:28 time: 0.5084 data_time: 0.0434 memory: 18108 grad_norm: 2.8846 loss: 5.0646 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9340 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 2.1306 2023/01/31 18:27:43 - mmengine - INFO - Epoch(train) [35][1640/1879] lr: 9.9996e-02 eta: 2 days, 10:46:15 time: 0.4869 data_time: 0.0295 memory: 18108 grad_norm: 2.8954 loss: 5.1951 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.1181 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0770 2023/01/31 18:27:53 - mmengine - INFO - Epoch(train) [35][1660/1879] lr: 9.9996e-02 eta: 2 days, 10:46:02 time: 0.4908 data_time: 0.0385 memory: 18108 grad_norm: 2.8765 loss: 4.8611 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8005 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.0605 2023/01/31 18:28:03 - mmengine - INFO - Epoch(train) [35][1680/1879] lr: 9.9996e-02 eta: 2 days, 10:45:52 time: 0.5058 data_time: 0.0296 memory: 18108 grad_norm: 2.8305 loss: 4.8261 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7506 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0755 2023/01/31 18:28:13 - mmengine - INFO - Epoch(train) [35][1700/1879] lr: 9.9996e-02 eta: 2 days, 10:45:44 time: 0.5276 data_time: 0.0433 memory: 18108 grad_norm: 2.8883 loss: 4.8106 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.6954 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.1152 2023/01/31 18:28:23 - mmengine - INFO - Epoch(train) [35][1720/1879] lr: 9.9996e-02 eta: 2 days, 10:45:32 time: 0.4963 data_time: 0.0299 memory: 18108 grad_norm: 2.9051 loss: 4.7930 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7406 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.0524 2023/01/31 18:28:34 - mmengine - INFO - Epoch(train) [35][1740/1879] lr: 9.9996e-02 eta: 2 days, 10:45:24 time: 0.5252 data_time: 0.0356 memory: 18108 grad_norm: 2.8669 loss: 4.7871 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6923 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.0948 2023/01/31 18:28:44 - mmengine - INFO - Epoch(train) [35][1760/1879] lr: 9.9996e-02 eta: 2 days, 10:45:12 time: 0.4964 data_time: 0.0352 memory: 18108 grad_norm: 2.8817 loss: 4.7887 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7418 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 2.0469 2023/01/31 18:28:54 - mmengine - INFO - Epoch(train) [35][1780/1879] lr: 9.9996e-02 eta: 2 days, 10:45:03 time: 0.5187 data_time: 0.0384 memory: 18108 grad_norm: 2.8809 loss: 4.9609 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8426 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.1183 2023/01/31 18:29:04 - mmengine - INFO - Epoch(train) [35][1800/1879] lr: 9.9995e-02 eta: 2 days, 10:44:51 time: 0.4956 data_time: 0.0292 memory: 18108 grad_norm: 2.9087 loss: 4.7917 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.7435 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 2.0482 2023/01/31 18:29:14 - mmengine - INFO - Epoch(train) [35][1820/1879] lr: 9.9995e-02 eta: 2 days, 10:44:41 time: 0.5076 data_time: 0.0348 memory: 18108 grad_norm: 2.9163 loss: 4.7227 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7414 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9813 2023/01/31 18:29:24 - mmengine - INFO - Epoch(train) [35][1840/1879] lr: 9.9995e-02 eta: 2 days, 10:44:30 time: 0.5058 data_time: 0.0359 memory: 18108 grad_norm: 2.9027 loss: 5.1609 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.1345 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.0264 2023/01/31 18:29:35 - mmengine - INFO - Epoch(train) [35][1860/1879] lr: 9.9995e-02 eta: 2 days, 10:44:20 time: 0.5112 data_time: 0.0362 memory: 18108 grad_norm: 2.8677 loss: 4.6646 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.5741 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.0905 2023/01/31 18:29:44 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 18:29:44 - mmengine - INFO - Epoch(train) [35][1879/1879] lr: 9.9995e-02 eta: 2 days, 10:44:08 time: 0.4880 data_time: 0.0261 memory: 18108 grad_norm: 2.9505 loss: 4.8363 top1_acc_0: 0.4286 top5_acc_0: 0.8571 loss_cls_0: 2.7528 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.0835 2023/01/31 18:29:59 - mmengine - INFO - Epoch(train) [36][ 20/1879] lr: 9.9995e-02 eta: 2 days, 10:44:22 time: 0.7022 data_time: 0.2594 memory: 18108 grad_norm: 2.9399 loss: 4.7683 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.7451 top1_acc_1: 0.3765 top5_acc_1: 0.6824 loss_cls_1: 2.0232 2023/01/31 18:30:08 - mmengine - INFO - Epoch(train) [36][ 40/1879] lr: 9.9995e-02 eta: 2 days, 10:44:07 time: 0.4675 data_time: 0.0364 memory: 18108 grad_norm: 2.8528 loss: 4.5913 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6266 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.9648 2023/01/31 18:30:17 - mmengine - INFO - Epoch(train) [36][ 60/1879] lr: 9.9995e-02 eta: 2 days, 10:43:52 time: 0.4707 data_time: 0.0375 memory: 18108 grad_norm: 2.8760 loss: 4.8581 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.8621 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.9960 2023/01/31 18:30:28 - mmengine - INFO - Epoch(train) [36][ 80/1879] lr: 9.9995e-02 eta: 2 days, 10:43:42 time: 0.5135 data_time: 0.0326 memory: 18108 grad_norm: 2.8768 loss: 4.8279 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.8720 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.9559 2023/01/31 18:30:37 - mmengine - INFO - Epoch(train) [36][ 100/1879] lr: 9.9994e-02 eta: 2 days, 10:43:27 time: 0.4695 data_time: 0.0352 memory: 18108 grad_norm: 2.8753 loss: 4.8443 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.9476 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.8967 2023/01/31 18:30:47 - mmengine - INFO - Epoch(train) [36][ 120/1879] lr: 9.9994e-02 eta: 2 days, 10:43:11 time: 0.4691 data_time: 0.0368 memory: 18108 grad_norm: 2.8513 loss: 4.9431 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9035 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0396 2023/01/31 18:30:56 - mmengine - INFO - Epoch(train) [36][ 140/1879] lr: 9.9994e-02 eta: 2 days, 10:42:59 time: 0.4871 data_time: 0.0349 memory: 18108 grad_norm: 2.9051 loss: 4.9910 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9788 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 2.0122 2023/01/31 18:31:06 - mmengine - INFO - Epoch(train) [36][ 160/1879] lr: 9.9994e-02 eta: 2 days, 10:42:45 time: 0.4835 data_time: 0.0362 memory: 18108 grad_norm: 2.8885 loss: 4.9039 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9129 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.9910 2023/01/31 18:31:15 - mmengine - INFO - Epoch(train) [36][ 180/1879] lr: 9.9994e-02 eta: 2 days, 10:42:31 time: 0.4757 data_time: 0.0420 memory: 18108 grad_norm: 2.9160 loss: 4.7934 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8965 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.8969 2023/01/31 18:31:25 - mmengine - INFO - Epoch(train) [36][ 200/1879] lr: 9.9994e-02 eta: 2 days, 10:42:15 time: 0.4656 data_time: 0.0342 memory: 18108 grad_norm: 2.9172 loss: 4.8332 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8241 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.0091 2023/01/31 18:31:35 - mmengine - INFO - Epoch(train) [36][ 220/1879] lr: 9.9994e-02 eta: 2 days, 10:42:04 time: 0.5018 data_time: 0.0345 memory: 18108 grad_norm: 2.8797 loss: 4.8875 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7679 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 2.1196 2023/01/31 18:31:42 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 18:31:45 - mmengine - INFO - Epoch(train) [36][ 240/1879] lr: 9.9994e-02 eta: 2 days, 10:41:50 time: 0.4835 data_time: 0.0354 memory: 18108 grad_norm: 2.8924 loss: 4.7914 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7268 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 2.0646 2023/01/31 18:31:54 - mmengine - INFO - Epoch(train) [36][ 260/1879] lr: 9.9994e-02 eta: 2 days, 10:41:35 time: 0.4678 data_time: 0.0350 memory: 18108 grad_norm: 2.8745 loss: 4.7997 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8597 top1_acc_1: 0.4941 top5_acc_1: 0.8353 loss_cls_1: 1.9401 2023/01/31 18:32:04 - mmengine - INFO - Epoch(train) [36][ 280/1879] lr: 9.9993e-02 eta: 2 days, 10:41:21 time: 0.4816 data_time: 0.0317 memory: 18108 grad_norm: 2.8974 loss: 4.7247 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7886 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.9361 2023/01/31 18:32:13 - mmengine - INFO - Epoch(train) [36][ 300/1879] lr: 9.9993e-02 eta: 2 days, 10:41:07 time: 0.4782 data_time: 0.0333 memory: 18108 grad_norm: 2.8893 loss: 4.7395 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8279 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.9115 2023/01/31 18:32:23 - mmengine - INFO - Epoch(train) [36][ 320/1879] lr: 9.9993e-02 eta: 2 days, 10:40:54 time: 0.4872 data_time: 0.0369 memory: 18108 grad_norm: 2.8562 loss: 5.0234 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.9265 top1_acc_1: 0.6000 top5_acc_1: 0.9176 loss_cls_1: 2.0969 2023/01/31 18:32:33 - mmengine - INFO - Epoch(train) [36][ 340/1879] lr: 9.9993e-02 eta: 2 days, 10:40:42 time: 0.4874 data_time: 0.0340 memory: 18108 grad_norm: 2.9086 loss: 4.8244 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.8966 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.9278 2023/01/31 18:32:43 - mmengine - INFO - Epoch(train) [36][ 360/1879] lr: 9.9993e-02 eta: 2 days, 10:40:30 time: 0.4993 data_time: 0.0349 memory: 18108 grad_norm: 2.9510 loss: 4.6880 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7180 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.9700 2023/01/31 18:32:52 - mmengine - INFO - Epoch(train) [36][ 380/1879] lr: 9.9993e-02 eta: 2 days, 10:40:18 time: 0.4936 data_time: 0.0323 memory: 18108 grad_norm: 2.9101 loss: 4.6665 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6048 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 2.0617 2023/01/31 18:33:02 - mmengine - INFO - Epoch(train) [36][ 400/1879] lr: 9.9993e-02 eta: 2 days, 10:40:05 time: 0.4904 data_time: 0.0357 memory: 18108 grad_norm: 2.8933 loss: 4.9322 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9500 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.9822 2023/01/31 18:33:12 - mmengine - INFO - Epoch(train) [36][ 420/1879] lr: 9.9993e-02 eta: 2 days, 10:39:54 time: 0.4991 data_time: 0.0337 memory: 18108 grad_norm: 2.8987 loss: 4.7930 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.8190 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9740 2023/01/31 18:33:22 - mmengine - INFO - Epoch(train) [36][ 440/1879] lr: 9.9992e-02 eta: 2 days, 10:39:42 time: 0.4937 data_time: 0.0360 memory: 18108 grad_norm: 2.8999 loss: 4.7978 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7555 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 2.0423 2023/01/31 18:33:32 - mmengine - INFO - Epoch(train) [36][ 460/1879] lr: 9.9992e-02 eta: 2 days, 10:39:29 time: 0.4905 data_time: 0.0324 memory: 18108 grad_norm: 2.9875 loss: 5.1492 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.1563 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.9928 2023/01/31 18:33:42 - mmengine - INFO - Epoch(train) [36][ 480/1879] lr: 9.9992e-02 eta: 2 days, 10:39:17 time: 0.4900 data_time: 0.0355 memory: 18108 grad_norm: 2.8965 loss: 4.7361 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6826 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 2.0534 2023/01/31 18:33:52 - mmengine - INFO - Epoch(train) [36][ 500/1879] lr: 9.9992e-02 eta: 2 days, 10:39:05 time: 0.4936 data_time: 0.0350 memory: 18108 grad_norm: 2.8846 loss: 4.8511 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8143 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 2.0368 2023/01/31 18:34:01 - mmengine - INFO - Epoch(train) [36][ 520/1879] lr: 9.9992e-02 eta: 2 days, 10:38:51 time: 0.4801 data_time: 0.0347 memory: 18108 grad_norm: 2.8428 loss: 4.8525 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8847 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9678 2023/01/31 18:34:11 - mmengine - INFO - Epoch(train) [36][ 540/1879] lr: 9.9992e-02 eta: 2 days, 10:38:38 time: 0.4859 data_time: 0.0417 memory: 18108 grad_norm: 2.8756 loss: 4.6832 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7416 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 1.9416 2023/01/31 18:34:21 - mmengine - INFO - Epoch(train) [36][ 560/1879] lr: 9.9992e-02 eta: 2 days, 10:38:25 time: 0.4899 data_time: 0.0356 memory: 18108 grad_norm: 2.9121 loss: 4.6835 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7569 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.9267 2023/01/31 18:34:30 - mmengine - INFO - Epoch(train) [36][ 580/1879] lr: 9.9991e-02 eta: 2 days, 10:38:12 time: 0.4814 data_time: 0.0338 memory: 18108 grad_norm: 2.8884 loss: 5.0155 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.0146 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.0008 2023/01/31 18:34:40 - mmengine - INFO - Epoch(train) [36][ 600/1879] lr: 9.9991e-02 eta: 2 days, 10:37:58 time: 0.4809 data_time: 0.0358 memory: 18108 grad_norm: 2.8455 loss: 4.7888 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6994 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.0894 2023/01/31 18:34:50 - mmengine - INFO - Epoch(train) [36][ 620/1879] lr: 9.9991e-02 eta: 2 days, 10:37:46 time: 0.4942 data_time: 0.0324 memory: 18108 grad_norm: 2.9092 loss: 4.7768 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.7647 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.0122 2023/01/31 18:35:00 - mmengine - INFO - Epoch(train) [36][ 640/1879] lr: 9.9991e-02 eta: 2 days, 10:37:34 time: 0.4922 data_time: 0.0350 memory: 18108 grad_norm: 3.0018 loss: 4.9053 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8017 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.1037 2023/01/31 18:35:10 - mmengine - INFO - Epoch(train) [36][ 660/1879] lr: 9.9991e-02 eta: 2 days, 10:37:21 time: 0.4891 data_time: 0.0341 memory: 18108 grad_norm: 2.9428 loss: 4.9024 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 2.7995 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.1030 2023/01/31 18:35:19 - mmengine - INFO - Epoch(train) [36][ 680/1879] lr: 9.9991e-02 eta: 2 days, 10:37:08 time: 0.4859 data_time: 0.0348 memory: 18108 grad_norm: 2.9579 loss: 4.8627 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8654 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.9973 2023/01/31 18:35:30 - mmengine - INFO - Epoch(train) [36][ 700/1879] lr: 9.9991e-02 eta: 2 days, 10:37:00 time: 0.5247 data_time: 0.0406 memory: 18108 grad_norm: 2.8610 loss: 4.8662 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7515 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.1147 2023/01/31 18:35:40 - mmengine - INFO - Epoch(train) [36][ 720/1879] lr: 9.9990e-02 eta: 2 days, 10:36:49 time: 0.5021 data_time: 0.0349 memory: 18108 grad_norm: 2.8694 loss: 4.8211 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.8100 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 2.0111 2023/01/31 18:35:50 - mmengine - INFO - Epoch(train) [36][ 740/1879] lr: 9.9990e-02 eta: 2 days, 10:36:37 time: 0.4970 data_time: 0.0330 memory: 18108 grad_norm: 2.9144 loss: 4.9920 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0238 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.9682 2023/01/31 18:36:00 - mmengine - INFO - Epoch(train) [36][ 760/1879] lr: 9.9990e-02 eta: 2 days, 10:36:25 time: 0.4939 data_time: 0.0346 memory: 18108 grad_norm: 2.8854 loss: 5.0648 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9842 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0806 2023/01/31 18:36:10 - mmengine - INFO - Epoch(train) [36][ 780/1879] lr: 9.9990e-02 eta: 2 days, 10:36:15 time: 0.5117 data_time: 0.0327 memory: 18108 grad_norm: 2.9045 loss: 4.8286 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8223 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 2.0063 2023/01/31 18:36:20 - mmengine - INFO - Epoch(train) [36][ 800/1879] lr: 9.9990e-02 eta: 2 days, 10:36:03 time: 0.4947 data_time: 0.0383 memory: 18108 grad_norm: 2.8492 loss: 4.6860 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.7046 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.9813 2023/01/31 18:36:30 - mmengine - INFO - Epoch(train) [36][ 820/1879] lr: 9.9990e-02 eta: 2 days, 10:35:52 time: 0.4989 data_time: 0.0338 memory: 18108 grad_norm: 2.8865 loss: 4.7758 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.6781 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 2.0976 2023/01/31 18:36:40 - mmengine - INFO - Epoch(train) [36][ 840/1879] lr: 9.9990e-02 eta: 2 days, 10:35:41 time: 0.5028 data_time: 0.0331 memory: 18108 grad_norm: 2.9262 loss: 4.8254 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8086 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 2.0168 2023/01/31 18:36:50 - mmengine - INFO - Epoch(train) [36][ 860/1879] lr: 9.9989e-02 eta: 2 days, 10:35:31 time: 0.5147 data_time: 0.0396 memory: 18108 grad_norm: 2.8580 loss: 4.7171 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6554 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.0618 2023/01/31 18:37:00 - mmengine - INFO - Epoch(train) [36][ 880/1879] lr: 9.9989e-02 eta: 2 days, 10:35:18 time: 0.4880 data_time: 0.0390 memory: 18108 grad_norm: 2.8345 loss: 5.0123 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.9896 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 2.0227 2023/01/31 18:37:10 - mmengine - INFO - Epoch(train) [36][ 900/1879] lr: 9.9989e-02 eta: 2 days, 10:35:08 time: 0.5034 data_time: 0.0320 memory: 18108 grad_norm: 2.8678 loss: 4.8123 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7729 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.0394 2023/01/31 18:37:20 - mmengine - INFO - Epoch(train) [36][ 920/1879] lr: 9.9989e-02 eta: 2 days, 10:34:56 time: 0.4992 data_time: 0.0402 memory: 18108 grad_norm: 2.8861 loss: 4.7544 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7520 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 2.0024 2023/01/31 18:37:30 - mmengine - INFO - Epoch(train) [36][ 940/1879] lr: 9.9989e-02 eta: 2 days, 10:34:45 time: 0.4993 data_time: 0.0316 memory: 18108 grad_norm: 2.8549 loss: 4.7532 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7651 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.9881 2023/01/31 18:37:40 - mmengine - INFO - Epoch(train) [36][ 960/1879] lr: 9.9989e-02 eta: 2 days, 10:34:32 time: 0.4908 data_time: 0.0353 memory: 18108 grad_norm: 2.8921 loss: 4.9483 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8811 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 2.0672 2023/01/31 18:37:50 - mmengine - INFO - Epoch(train) [36][ 980/1879] lr: 9.9988e-02 eta: 2 days, 10:34:23 time: 0.5128 data_time: 0.0359 memory: 18108 grad_norm: 2.9108 loss: 5.0315 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9860 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.0455 2023/01/31 18:38:00 - mmengine - INFO - Epoch(train) [36][1000/1879] lr: 9.9988e-02 eta: 2 days, 10:34:10 time: 0.4935 data_time: 0.0391 memory: 18108 grad_norm: 2.8955 loss: 4.9329 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.9603 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 1.9726 2023/01/31 18:38:10 - mmengine - INFO - Epoch(train) [36][1020/1879] lr: 9.9988e-02 eta: 2 days, 10:33:58 time: 0.4935 data_time: 0.0377 memory: 18108 grad_norm: 2.9261 loss: 4.8132 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7979 top1_acc_1: 0.5059 top5_acc_1: 0.8353 loss_cls_1: 2.0153 2023/01/31 18:38:20 - mmengine - INFO - Epoch(train) [36][1040/1879] lr: 9.9988e-02 eta: 2 days, 10:33:47 time: 0.5017 data_time: 0.0332 memory: 18108 grad_norm: 2.8909 loss: 4.8247 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8044 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 2.0203 2023/01/31 18:38:30 - mmengine - INFO - Epoch(train) [36][1060/1879] lr: 9.9988e-02 eta: 2 days, 10:33:36 time: 0.5016 data_time: 0.0375 memory: 18108 grad_norm: 2.8046 loss: 4.5664 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6287 top1_acc_1: 0.4706 top5_acc_1: 0.7882 loss_cls_1: 1.9377 2023/01/31 18:38:40 - mmengine - INFO - Epoch(train) [36][1080/1879] lr: 9.9988e-02 eta: 2 days, 10:33:24 time: 0.4939 data_time: 0.0307 memory: 18108 grad_norm: 2.8961 loss: 4.7135 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7600 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.9535 2023/01/31 18:38:50 - mmengine - INFO - Epoch(train) [36][1100/1879] lr: 9.9987e-02 eta: 2 days, 10:33:14 time: 0.5095 data_time: 0.0378 memory: 18108 grad_norm: 2.8989 loss: 4.8688 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8127 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 2.0561 2023/01/31 18:39:00 - mmengine - INFO - Epoch(train) [36][1120/1879] lr: 9.9987e-02 eta: 2 days, 10:33:01 time: 0.4841 data_time: 0.0303 memory: 18108 grad_norm: 2.8894 loss: 4.8833 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8679 top1_acc_1: 0.4824 top5_acc_1: 0.8118 loss_cls_1: 2.0154 2023/01/31 18:39:09 - mmengine - INFO - Epoch(train) [36][1140/1879] lr: 9.9987e-02 eta: 2 days, 10:32:48 time: 0.4873 data_time: 0.0352 memory: 18108 grad_norm: 2.8617 loss: 4.7822 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7281 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0541 2023/01/31 18:39:19 - mmengine - INFO - Epoch(train) [36][1160/1879] lr: 9.9987e-02 eta: 2 days, 10:32:35 time: 0.4870 data_time: 0.0405 memory: 18108 grad_norm: 2.9033 loss: 4.9392 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9222 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.0170 2023/01/31 18:39:29 - mmengine - INFO - Epoch(train) [36][1180/1879] lr: 9.9987e-02 eta: 2 days, 10:32:24 time: 0.5059 data_time: 0.0374 memory: 18108 grad_norm: 2.8609 loss: 4.6397 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6699 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.9699 2023/01/31 18:39:39 - mmengine - INFO - Epoch(train) [36][1200/1879] lr: 9.9987e-02 eta: 2 days, 10:32:10 time: 0.4733 data_time: 0.0327 memory: 18108 grad_norm: 2.9313 loss: 5.0216 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.9479 top1_acc_1: 0.4353 top5_acc_1: 0.7059 loss_cls_1: 2.0737 2023/01/31 18:39:48 - mmengine - INFO - Epoch(train) [36][1220/1879] lr: 9.9986e-02 eta: 2 days, 10:31:57 time: 0.4888 data_time: 0.0368 memory: 18108 grad_norm: 2.8641 loss: 4.6448 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5809 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0638 2023/01/31 18:39:56 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 18:39:58 - mmengine - INFO - Epoch(train) [36][1240/1879] lr: 9.9986e-02 eta: 2 days, 10:31:44 time: 0.4870 data_time: 0.0335 memory: 18108 grad_norm: 2.8576 loss: 4.8993 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.8311 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 2.0682 2023/01/31 18:40:08 - mmengine - INFO - Epoch(train) [36][1260/1879] lr: 9.9986e-02 eta: 2 days, 10:31:32 time: 0.4952 data_time: 0.0368 memory: 18108 grad_norm: 2.8193 loss: 4.7600 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6735 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 2.0865 2023/01/31 18:40:18 - mmengine - INFO - Epoch(train) [36][1280/1879] lr: 9.9986e-02 eta: 2 days, 10:31:18 time: 0.4718 data_time: 0.0327 memory: 18108 grad_norm: 2.8934 loss: 5.0853 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9754 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 2.1099 2023/01/31 18:40:27 - mmengine - INFO - Epoch(train) [36][1300/1879] lr: 9.9986e-02 eta: 2 days, 10:31:06 time: 0.4934 data_time: 0.0391 memory: 18108 grad_norm: 2.8560 loss: 4.9892 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9335 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0557 2023/01/31 18:43:49 - mmengine - INFO - Epoch(train) [36][1320/1879] lr: 9.9985e-02 eta: 2 days, 10:50:39 time: 10.0963 data_time: 9.6466 memory: 18108 grad_norm: 2.8960 loss: 4.8790 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.7975 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 2.0816 2023/01/31 18:43:59 - mmengine - INFO - Epoch(train) [36][1340/1879] lr: 9.9985e-02 eta: 2 days, 10:50:23 time: 0.4703 data_time: 0.0345 memory: 18108 grad_norm: 2.8455 loss: 5.1335 top1_acc_0: 0.1250 top5_acc_0: 0.7500 loss_cls_0: 2.9855 top1_acc_1: 0.4471 top5_acc_1: 0.7294 loss_cls_1: 2.1480 2023/01/31 18:44:08 - mmengine - INFO - Epoch(train) [36][1360/1879] lr: 9.9985e-02 eta: 2 days, 10:50:05 time: 0.4504 data_time: 0.0330 memory: 18108 grad_norm: 2.8451 loss: 4.9924 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9094 top1_acc_1: 0.4706 top5_acc_1: 0.8235 loss_cls_1: 2.0830 2023/01/31 18:44:17 - mmengine - INFO - Epoch(train) [36][1380/1879] lr: 9.9985e-02 eta: 2 days, 10:49:50 time: 0.4684 data_time: 0.0357 memory: 18108 grad_norm: 2.9012 loss: 5.1012 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.1684 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.9328 2023/01/31 18:44:27 - mmengine - INFO - Epoch(train) [36][1400/1879] lr: 9.9985e-02 eta: 2 days, 10:49:36 time: 0.4795 data_time: 0.0355 memory: 18108 grad_norm: 2.9200 loss: 5.0733 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.0036 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0697 2023/01/31 18:44:36 - mmengine - INFO - Epoch(train) [36][1420/1879] lr: 9.9985e-02 eta: 2 days, 10:49:20 time: 0.4669 data_time: 0.0379 memory: 18108 grad_norm: 2.9172 loss: 4.7565 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6862 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.0703 2023/01/31 18:44:45 - mmengine - INFO - Epoch(train) [36][1440/1879] lr: 9.9984e-02 eta: 2 days, 10:49:03 time: 0.4574 data_time: 0.0368 memory: 18108 grad_norm: 2.9024 loss: 4.8376 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7846 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 2.0529 2023/01/31 18:44:55 - mmengine - INFO - Epoch(train) [36][1460/1879] lr: 9.9984e-02 eta: 2 days, 10:48:48 time: 0.4715 data_time: 0.0362 memory: 18108 grad_norm: 2.8707 loss: 4.7981 top1_acc_0: 0.0000 top5_acc_0: 0.6875 loss_cls_0: 2.7366 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.0615 2023/01/31 18:45:04 - mmengine - INFO - Epoch(train) [36][1480/1879] lr: 9.9984e-02 eta: 2 days, 10:48:33 time: 0.4745 data_time: 0.0386 memory: 18108 grad_norm: 2.9190 loss: 4.9647 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.9107 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 2.0540 2023/01/31 18:45:14 - mmengine - INFO - Epoch(train) [36][1500/1879] lr: 9.9984e-02 eta: 2 days, 10:48:18 time: 0.4736 data_time: 0.0432 memory: 18108 grad_norm: 2.9021 loss: 5.0027 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.8385 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 2.1642 2023/01/31 18:45:23 - mmengine - INFO - Epoch(train) [36][1520/1879] lr: 9.9984e-02 eta: 2 days, 10:48:02 time: 0.4600 data_time: 0.0375 memory: 18108 grad_norm: 2.8591 loss: 4.9653 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.9808 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.9845 2023/01/31 18:45:32 - mmengine - INFO - Epoch(train) [36][1540/1879] lr: 9.9983e-02 eta: 2 days, 10:47:45 time: 0.4635 data_time: 0.0366 memory: 18108 grad_norm: 2.8391 loss: 4.6682 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6636 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.0046 2023/01/31 18:45:42 - mmengine - INFO - Epoch(train) [36][1560/1879] lr: 9.9983e-02 eta: 2 days, 10:47:31 time: 0.4789 data_time: 0.0362 memory: 18108 grad_norm: 2.8157 loss: 4.7767 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7532 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 2.0235 2023/01/31 18:45:51 - mmengine - INFO - Epoch(train) [36][1580/1879] lr: 9.9983e-02 eta: 2 days, 10:47:15 time: 0.4677 data_time: 0.0425 memory: 18108 grad_norm: 2.8843 loss: 5.0012 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9900 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 2.0112 2023/01/31 18:46:00 - mmengine - INFO - Epoch(train) [36][1600/1879] lr: 9.9983e-02 eta: 2 days, 10:46:59 time: 0.4615 data_time: 0.0392 memory: 18108 grad_norm: 2.8549 loss: 4.7147 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6747 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.0400 2023/01/31 18:46:10 - mmengine - INFO - Epoch(train) [36][1620/1879] lr: 9.9983e-02 eta: 2 days, 10:46:43 time: 0.4641 data_time: 0.0358 memory: 18108 grad_norm: 2.9280 loss: 4.6835 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6057 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0778 2023/01/31 18:46:19 - mmengine - INFO - Epoch(train) [36][1640/1879] lr: 9.9982e-02 eta: 2 days, 10:46:27 time: 0.4681 data_time: 0.0373 memory: 18108 grad_norm: 2.9414 loss: 4.9858 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.9447 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 2.0411 2023/01/31 18:46:29 - mmengine - INFO - Epoch(train) [36][1660/1879] lr: 9.9982e-02 eta: 2 days, 10:46:13 time: 0.4757 data_time: 0.0369 memory: 18108 grad_norm: 2.8689 loss: 5.0648 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9831 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.0817 2023/01/31 18:46:38 - mmengine - INFO - Epoch(train) [36][1680/1879] lr: 9.9982e-02 eta: 2 days, 10:45:57 time: 0.4692 data_time: 0.0449 memory: 18108 grad_norm: 2.8910 loss: 4.8665 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.8175 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0490 2023/01/31 18:46:47 - mmengine - INFO - Epoch(train) [36][1700/1879] lr: 9.9982e-02 eta: 2 days, 10:45:42 time: 0.4663 data_time: 0.0368 memory: 18108 grad_norm: 2.8304 loss: 4.9186 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8436 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.0750 2023/01/31 18:46:57 - mmengine - INFO - Epoch(train) [36][1720/1879] lr: 9.9982e-02 eta: 2 days, 10:45:26 time: 0.4698 data_time: 0.0373 memory: 18108 grad_norm: 2.8837 loss: 4.7424 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7571 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.9853 2023/01/31 18:47:06 - mmengine - INFO - Epoch(train) [36][1740/1879] lr: 9.9981e-02 eta: 2 days, 10:45:11 time: 0.4688 data_time: 0.0348 memory: 18108 grad_norm: 2.8675 loss: 4.9409 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.8513 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 2.0896 2023/01/31 18:47:16 - mmengine - INFO - Epoch(train) [36][1760/1879] lr: 9.9981e-02 eta: 2 days, 10:44:56 time: 0.4750 data_time: 0.0513 memory: 18108 grad_norm: 2.8894 loss: 4.8860 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8776 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.0084 2023/01/31 18:47:25 - mmengine - INFO - Epoch(train) [36][1780/1879] lr: 9.9981e-02 eta: 2 days, 10:44:39 time: 0.4587 data_time: 0.0378 memory: 18108 grad_norm: 2.8492 loss: 4.8656 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8591 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 2.0065 2023/01/31 18:47:34 - mmengine - INFO - Epoch(train) [36][1800/1879] lr: 9.9981e-02 eta: 2 days, 10:44:26 time: 0.4851 data_time: 0.0369 memory: 18108 grad_norm: 2.9390 loss: 4.8721 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8529 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.0192 2023/01/31 18:47:44 - mmengine - INFO - Epoch(train) [36][1820/1879] lr: 9.9981e-02 eta: 2 days, 10:44:12 time: 0.4835 data_time: 0.0361 memory: 18108 grad_norm: 2.8475 loss: 4.6666 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6492 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0174 2023/01/31 18:47:54 - mmengine - INFO - Epoch(train) [36][1840/1879] lr: 9.9980e-02 eta: 2 days, 10:43:59 time: 0.4886 data_time: 0.0365 memory: 18108 grad_norm: 2.8755 loss: 4.6831 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6668 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.0163 2023/01/31 18:48:05 - mmengine - INFO - Epoch(train) [36][1860/1879] lr: 9.9980e-02 eta: 2 days, 10:43:52 time: 0.5332 data_time: 0.0384 memory: 18108 grad_norm: 2.8977 loss: 4.7940 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7657 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 2.0283 2023/01/31 18:48:13 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 18:48:13 - mmengine - INFO - Epoch(train) [36][1879/1879] lr: 9.9980e-02 eta: 2 days, 10:43:35 time: 0.5167 data_time: 0.0313 memory: 18108 grad_norm: 2.9428 loss: 4.6352 top1_acc_0: 0.1429 top5_acc_0: 0.5714 loss_cls_0: 2.6344 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 2.0008 2023/01/31 18:48:14 - mmengine - INFO - Saving checkpoint at 36 epochs 2023/01/31 18:48:24 - mmengine - INFO - Epoch(val) [36][ 20/155] eta: 0:01:03 time: 0.4693 data_time: 0.3564 memory: 1906 2023/01/31 18:48:37 - mmengine - INFO - Epoch(val) [36][ 40/155] eta: 0:01:03 time: 0.6336 data_time: 0.5201 memory: 1906 2023/01/31 18:48:47 - mmengine - INFO - Epoch(val) [36][ 60/155] eta: 0:00:49 time: 0.4733 data_time: 0.3610 memory: 1906 2023/01/31 18:48:56 - mmengine - INFO - Epoch(val) [36][ 80/155] eta: 0:00:38 time: 0.4574 data_time: 0.3473 memory: 1906 2023/01/31 18:49:05 - mmengine - INFO - Epoch(val) [36][100/155] eta: 0:00:27 time: 0.4493 data_time: 0.3375 memory: 1906 2023/01/31 18:49:14 - mmengine - INFO - Epoch(val) [36][120/155] eta: 0:00:17 time: 0.4649 data_time: 0.3518 memory: 1906 2023/01/31 18:49:23 - mmengine - INFO - Epoch(val) [36][140/155] eta: 0:00:07 time: 0.4365 data_time: 0.3265 memory: 1906 2023/01/31 18:49:30 - mmengine - INFO - Epoch(val) [36][155/155] acc/top1: 0.4036 acc/top5: 0.6641 acc/mean1: 0.4034 2023/01/31 18:49:45 - mmengine - INFO - Epoch(train) [37][ 20/1879] lr: 9.9980e-02 eta: 2 days, 10:43:50 time: 0.7165 data_time: 0.2535 memory: 18108 grad_norm: 2.8555 loss: 4.9774 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 3.0600 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.9174 2023/01/31 18:49:54 - mmengine - INFO - Epoch(train) [37][ 40/1879] lr: 9.9980e-02 eta: 2 days, 10:43:34 time: 0.4655 data_time: 0.0351 memory: 18108 grad_norm: 2.8671 loss: 4.7075 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6922 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 2.0153 2023/01/31 18:50:04 - mmengine - INFO - Epoch(train) [37][ 60/1879] lr: 9.9979e-02 eta: 2 days, 10:43:21 time: 0.4815 data_time: 0.0370 memory: 18108 grad_norm: 2.8556 loss: 4.8931 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8702 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 2.0230 2023/01/31 18:50:14 - mmengine - INFO - Epoch(train) [37][ 80/1879] lr: 9.9979e-02 eta: 2 days, 10:43:12 time: 0.5224 data_time: 0.0508 memory: 18108 grad_norm: 2.8648 loss: 4.9334 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9190 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0143 2023/01/31 18:50:24 - mmengine - INFO - Epoch(train) [37][ 100/1879] lr: 9.9979e-02 eta: 2 days, 10:42:57 time: 0.4758 data_time: 0.0369 memory: 18108 grad_norm: 2.8668 loss: 5.0023 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0378 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9644 2023/01/31 18:50:33 - mmengine - INFO - Epoch(train) [37][ 120/1879] lr: 9.9979e-02 eta: 2 days, 10:42:42 time: 0.4701 data_time: 0.0322 memory: 18108 grad_norm: 2.8842 loss: 4.7649 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8754 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8895 2023/01/31 18:50:43 - mmengine - INFO - Epoch(train) [37][ 140/1879] lr: 9.9978e-02 eta: 2 days, 10:42:31 time: 0.5091 data_time: 0.0476 memory: 18108 grad_norm: 2.8992 loss: 4.9068 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8913 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.0155 2023/01/31 18:50:53 - mmengine - INFO - Epoch(train) [37][ 160/1879] lr: 9.9978e-02 eta: 2 days, 10:42:16 time: 0.4724 data_time: 0.0318 memory: 18108 grad_norm: 2.8697 loss: 5.0388 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.0374 top1_acc_1: 0.4824 top5_acc_1: 0.8000 loss_cls_1: 2.0014 2023/01/31 18:51:02 - mmengine - INFO - Epoch(train) [37][ 180/1879] lr: 9.9978e-02 eta: 2 days, 10:42:02 time: 0.4809 data_time: 0.0374 memory: 18108 grad_norm: 2.8418 loss: 4.7181 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6886 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.0295 2023/01/31 18:51:12 - mmengine - INFO - Epoch(train) [37][ 200/1879] lr: 9.9978e-02 eta: 2 days, 10:41:48 time: 0.4795 data_time: 0.0336 memory: 18108 grad_norm: 2.8302 loss: 4.5497 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6071 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.9425 2023/01/31 18:51:23 - mmengine - INFO - Epoch(train) [37][ 220/1879] lr: 9.9978e-02 eta: 2 days, 10:41:40 time: 0.5246 data_time: 0.0359 memory: 18108 grad_norm: 2.8999 loss: 4.6610 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.6530 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 2.0081 2023/01/31 18:51:32 - mmengine - INFO - Epoch(train) [37][ 240/1879] lr: 9.9977e-02 eta: 2 days, 10:41:26 time: 0.4816 data_time: 0.0321 memory: 18108 grad_norm: 2.9221 loss: 4.5803 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6402 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.9400 2023/01/31 18:51:42 - mmengine - INFO - Epoch(train) [37][ 260/1879] lr: 9.9977e-02 eta: 2 days, 10:41:14 time: 0.4950 data_time: 0.0353 memory: 18108 grad_norm: 2.9171 loss: 4.8562 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.8967 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.9595 2023/01/31 18:51:52 - mmengine - INFO - Epoch(train) [37][ 280/1879] lr: 9.9977e-02 eta: 2 days, 10:41:04 time: 0.5135 data_time: 0.0320 memory: 18108 grad_norm: 2.8848 loss: 4.7561 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7867 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.9693 2023/01/31 18:52:02 - mmengine - INFO - Epoch(train) [37][ 300/1879] lr: 9.9977e-02 eta: 2 days, 10:40:52 time: 0.4991 data_time: 0.0350 memory: 18108 grad_norm: 2.9295 loss: 4.7353 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7146 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.0207 2023/01/31 18:52:12 - mmengine - INFO - Epoch(train) [37][ 320/1879] lr: 9.9976e-02 eta: 2 days, 10:40:38 time: 0.4801 data_time: 0.0308 memory: 18108 grad_norm: 2.9069 loss: 4.8432 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8488 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.9944 2023/01/31 18:52:22 - mmengine - INFO - Epoch(train) [37][ 340/1879] lr: 9.9976e-02 eta: 2 days, 10:40:27 time: 0.5044 data_time: 0.0346 memory: 18108 grad_norm: 2.9045 loss: 4.7637 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6851 top1_acc_1: 0.5882 top5_acc_1: 0.7294 loss_cls_1: 2.0786 2023/01/31 18:52:30 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 18:52:32 - mmengine - INFO - Epoch(train) [37][ 360/1879] lr: 9.9976e-02 eta: 2 days, 10:40:14 time: 0.4918 data_time: 0.0380 memory: 18108 grad_norm: 2.8936 loss: 4.6849 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6505 top1_acc_1: 0.5529 top5_acc_1: 0.6941 loss_cls_1: 2.0343 2023/01/31 18:52:42 - mmengine - INFO - Epoch(train) [37][ 380/1879] lr: 9.9976e-02 eta: 2 days, 10:40:02 time: 0.4930 data_time: 0.0368 memory: 18108 grad_norm: 2.8717 loss: 4.8882 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9050 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.9832 2023/01/31 18:52:51 - mmengine - INFO - Epoch(train) [37][ 400/1879] lr: 9.9975e-02 eta: 2 days, 10:39:49 time: 0.4887 data_time: 0.0326 memory: 18108 grad_norm: 2.9189 loss: 4.7644 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.6701 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 2.0943 2023/01/31 18:53:02 - mmengine - INFO - Epoch(train) [37][ 420/1879] lr: 9.9975e-02 eta: 2 days, 10:39:38 time: 0.5075 data_time: 0.0333 memory: 18108 grad_norm: 2.9197 loss: 4.6784 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6859 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9925 2023/01/31 18:53:11 - mmengine - INFO - Epoch(train) [37][ 440/1879] lr: 9.9975e-02 eta: 2 days, 10:39:21 time: 0.4550 data_time: 0.0335 memory: 18108 grad_norm: 2.9191 loss: 5.0338 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.9555 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.0782 2023/01/31 18:53:20 - mmengine - INFO - Epoch(train) [37][ 460/1879] lr: 9.9975e-02 eta: 2 days, 10:39:04 time: 0.4550 data_time: 0.0365 memory: 18108 grad_norm: 2.8551 loss: 4.8062 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7586 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.0476 2023/01/31 18:53:36 - mmengine - INFO - Epoch(train) [37][ 480/1879] lr: 9.9975e-02 eta: 2 days, 10:39:28 time: 0.7976 data_time: 0.0366 memory: 18108 grad_norm: 2.9285 loss: 4.6828 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.7748 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9080 2023/01/31 18:53:45 - mmengine - INFO - Epoch(train) [37][ 500/1879] lr: 9.9974e-02 eta: 2 days, 10:39:11 time: 0.4565 data_time: 0.0371 memory: 18108 grad_norm: 2.9166 loss: 4.8079 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7241 top1_acc_1: 0.4588 top5_acc_1: 0.6941 loss_cls_1: 2.0839 2023/01/31 18:53:54 - mmengine - INFO - Epoch(train) [37][ 520/1879] lr: 9.9974e-02 eta: 2 days, 10:38:56 time: 0.4680 data_time: 0.0364 memory: 18108 grad_norm: 2.8668 loss: 4.6954 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7095 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.9858 2023/01/31 18:54:04 - mmengine - INFO - Epoch(train) [37][ 540/1879] lr: 9.9974e-02 eta: 2 days, 10:38:40 time: 0.4628 data_time: 0.0449 memory: 18108 grad_norm: 2.8874 loss: 4.7137 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7077 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.0060 2023/01/31 18:54:13 - mmengine - INFO - Epoch(train) [37][ 560/1879] lr: 9.9974e-02 eta: 2 days, 10:38:23 time: 0.4589 data_time: 0.0364 memory: 18108 grad_norm: 2.9018 loss: 4.8414 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8040 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 2.0374 2023/01/31 18:54:22 - mmengine - INFO - Epoch(train) [37][ 580/1879] lr: 9.9973e-02 eta: 2 days, 10:38:06 time: 0.4517 data_time: 0.0359 memory: 18108 grad_norm: 2.9089 loss: 4.8454 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.7653 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.0801 2023/01/31 18:54:31 - mmengine - INFO - Epoch(train) [37][ 600/1879] lr: 9.9973e-02 eta: 2 days, 10:37:50 time: 0.4634 data_time: 0.0352 memory: 18108 grad_norm: 2.8431 loss: 4.9912 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 2.9408 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.0505 2023/01/31 18:54:40 - mmengine - INFO - Epoch(train) [37][ 620/1879] lr: 9.9973e-02 eta: 2 days, 10:37:33 time: 0.4608 data_time: 0.0440 memory: 18108 grad_norm: 2.8703 loss: 4.7895 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6877 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.1018 2023/01/31 18:54:49 - mmengine - INFO - Epoch(train) [37][ 640/1879] lr: 9.9973e-02 eta: 2 days, 10:37:16 time: 0.4551 data_time: 0.0377 memory: 18108 grad_norm: 2.9234 loss: 4.9148 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.9409 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.9739 2023/01/31 18:54:59 - mmengine - INFO - Epoch(train) [37][ 660/1879] lr: 9.9972e-02 eta: 2 days, 10:37:00 time: 0.4617 data_time: 0.0370 memory: 18108 grad_norm: 2.9233 loss: 4.8148 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7593 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 2.0555 2023/01/31 18:55:08 - mmengine - INFO - Epoch(train) [37][ 680/1879] lr: 9.9972e-02 eta: 2 days, 10:36:43 time: 0.4545 data_time: 0.0370 memory: 18108 grad_norm: 2.8869 loss: 5.0729 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 3.0960 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.9768 2023/01/31 18:55:28 - mmengine - INFO - Epoch(train) [37][ 700/1879] lr: 9.9972e-02 eta: 2 days, 10:37:36 time: 1.0368 data_time: 0.0352 memory: 18108 grad_norm: 2.9185 loss: 4.9165 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8098 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 2.1066 2023/01/31 18:55:38 - mmengine - INFO - Epoch(train) [37][ 720/1879] lr: 9.9972e-02 eta: 2 days, 10:37:19 time: 0.4536 data_time: 0.0370 memory: 18108 grad_norm: 2.9086 loss: 5.1171 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.0697 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 2.0473 2023/01/31 18:55:47 - mmengine - INFO - Epoch(train) [37][ 740/1879] lr: 9.9971e-02 eta: 2 days, 10:37:02 time: 0.4528 data_time: 0.0365 memory: 18108 grad_norm: 2.8987 loss: 4.7588 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7288 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 2.0300 2023/01/31 18:55:56 - mmengine - INFO - Epoch(train) [37][ 760/1879] lr: 9.9971e-02 eta: 2 days, 10:36:44 time: 0.4474 data_time: 0.0370 memory: 18108 grad_norm: 2.8505 loss: 4.9589 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8831 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 2.0758 2023/01/31 18:56:05 - mmengine - INFO - Epoch(train) [37][ 780/1879] lr: 9.9971e-02 eta: 2 days, 10:36:28 time: 0.4616 data_time: 0.0366 memory: 18108 grad_norm: 2.8651 loss: 5.0473 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9689 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 2.0784 2023/01/31 18:56:14 - mmengine - INFO - Epoch(train) [37][ 800/1879] lr: 9.9971e-02 eta: 2 days, 10:36:12 time: 0.4689 data_time: 0.0426 memory: 18108 grad_norm: 2.9420 loss: 4.7614 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7272 top1_acc_1: 0.4235 top5_acc_1: 0.6235 loss_cls_1: 2.0342 2023/01/31 18:56:23 - mmengine - INFO - Epoch(train) [37][ 820/1879] lr: 9.9970e-02 eta: 2 days, 10:35:55 time: 0.4545 data_time: 0.0382 memory: 18108 grad_norm: 2.8088 loss: 4.7770 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7251 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.0519 2023/01/31 18:56:33 - mmengine - INFO - Epoch(train) [37][ 840/1879] lr: 9.9970e-02 eta: 2 days, 10:35:39 time: 0.4605 data_time: 0.0372 memory: 18108 grad_norm: 2.9191 loss: 4.7008 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6748 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 2.0261 2023/01/31 18:56:42 - mmengine - INFO - Epoch(train) [37][ 860/1879] lr: 9.9970e-02 eta: 2 days, 10:35:22 time: 0.4560 data_time: 0.0351 memory: 18108 grad_norm: 2.9233 loss: 5.0489 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.0488 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 2.0001 2023/01/31 18:56:51 - mmengine - INFO - Epoch(train) [37][ 880/1879] lr: 9.9970e-02 eta: 2 days, 10:35:06 time: 0.4596 data_time: 0.0361 memory: 18108 grad_norm: 2.9046 loss: 4.8164 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7270 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.0894 2023/01/31 18:57:00 - mmengine - INFO - Epoch(train) [37][ 900/1879] lr: 9.9969e-02 eta: 2 days, 10:34:49 time: 0.4623 data_time: 0.0437 memory: 18108 grad_norm: 2.8774 loss: 4.8280 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6845 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 2.1435 2023/01/31 18:57:09 - mmengine - INFO - Epoch(train) [37][ 920/1879] lr: 9.9969e-02 eta: 2 days, 10:34:33 time: 0.4607 data_time: 0.0360 memory: 18108 grad_norm: 2.8733 loss: 4.7795 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.7721 top1_acc_1: 0.4353 top5_acc_1: 0.7059 loss_cls_1: 2.0074 2023/01/31 18:57:18 - mmengine - INFO - Epoch(train) [37][ 940/1879] lr: 9.9969e-02 eta: 2 days, 10:34:16 time: 0.4537 data_time: 0.0358 memory: 18108 grad_norm: 2.9084 loss: 4.6617 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7032 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9585 2023/01/31 18:57:28 - mmengine - INFO - Epoch(train) [37][ 960/1879] lr: 9.9968e-02 eta: 2 days, 10:34:00 time: 0.4665 data_time: 0.0357 memory: 18108 grad_norm: 2.9174 loss: 4.9680 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9645 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0035 2023/01/31 18:57:37 - mmengine - INFO - Epoch(train) [37][ 980/1879] lr: 9.9968e-02 eta: 2 days, 10:33:43 time: 0.4489 data_time: 0.0362 memory: 18108 grad_norm: 2.8370 loss: 4.8512 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8189 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.0322 2023/01/31 18:57:46 - mmengine - INFO - Epoch(train) [37][1000/1879] lr: 9.9968e-02 eta: 2 days, 10:33:28 time: 0.4719 data_time: 0.0425 memory: 18108 grad_norm: 2.8838 loss: 4.6956 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7063 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.9893 2023/01/31 18:57:55 - mmengine - INFO - Epoch(train) [37][1020/1879] lr: 9.9968e-02 eta: 2 days, 10:33:10 time: 0.4481 data_time: 0.0360 memory: 18108 grad_norm: 2.9291 loss: 4.9698 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8816 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 2.0883 2023/01/31 18:58:04 - mmengine - INFO - Epoch(train) [37][1040/1879] lr: 9.9967e-02 eta: 2 days, 10:32:53 time: 0.4592 data_time: 0.0370 memory: 18108 grad_norm: 2.9829 loss: 4.8772 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8703 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 2.0069 2023/01/31 18:58:13 - mmengine - INFO - Epoch(train) [37][1060/1879] lr: 9.9967e-02 eta: 2 days, 10:32:37 time: 0.4597 data_time: 0.0359 memory: 18108 grad_norm: 2.8653 loss: 4.7388 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7177 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 2.0211 2023/01/31 18:58:23 - mmengine - INFO - Epoch(train) [37][1080/1879] lr: 9.9967e-02 eta: 2 days, 10:32:20 time: 0.4548 data_time: 0.0429 memory: 18108 grad_norm: 2.8629 loss: 4.6603 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6636 top1_acc_1: 0.5529 top5_acc_1: 0.6824 loss_cls_1: 1.9967 2023/01/31 18:58:32 - mmengine - INFO - Epoch(train) [37][1100/1879] lr: 9.9967e-02 eta: 2 days, 10:32:05 time: 0.4691 data_time: 0.0368 memory: 18108 grad_norm: 2.9286 loss: 4.8868 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8281 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 2.0587 2023/01/31 18:58:41 - mmengine - INFO - Epoch(train) [37][1120/1879] lr: 9.9966e-02 eta: 2 days, 10:31:48 time: 0.4538 data_time: 0.0378 memory: 18108 grad_norm: 2.8791 loss: 5.1001 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 3.0006 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.0995 2023/01/31 18:58:50 - mmengine - INFO - Epoch(train) [37][1140/1879] lr: 9.9966e-02 eta: 2 days, 10:31:31 time: 0.4598 data_time: 0.0363 memory: 18108 grad_norm: 2.8971 loss: 4.8156 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7722 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0434 2023/01/31 18:58:59 - mmengine - INFO - Epoch(train) [37][1160/1879] lr: 9.9966e-02 eta: 2 days, 10:31:15 time: 0.4564 data_time: 0.0375 memory: 18108 grad_norm: 2.9236 loss: 4.9285 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.9448 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9837 2023/01/31 18:59:09 - mmengine - INFO - Epoch(train) [37][1180/1879] lr: 9.9965e-02 eta: 2 days, 10:30:59 time: 0.4658 data_time: 0.0351 memory: 18108 grad_norm: 2.8575 loss: 5.1116 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.0620 top1_acc_1: 0.5176 top5_acc_1: 0.6941 loss_cls_1: 2.0496 2023/01/31 18:59:18 - mmengine - INFO - Epoch(train) [37][1200/1879] lr: 9.9965e-02 eta: 2 days, 10:30:41 time: 0.4490 data_time: 0.0373 memory: 18108 grad_norm: 2.8754 loss: 5.0077 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.0036 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 2.0040 2023/01/31 18:59:27 - mmengine - INFO - Epoch(train) [37][1220/1879] lr: 9.9965e-02 eta: 2 days, 10:30:25 time: 0.4619 data_time: 0.0370 memory: 18108 grad_norm: 2.8759 loss: 4.8158 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.7706 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 2.0452 2023/01/31 18:59:36 - mmengine - INFO - Epoch(train) [37][1240/1879] lr: 9.9965e-02 eta: 2 days, 10:30:09 time: 0.4605 data_time: 0.0364 memory: 18108 grad_norm: 2.9081 loss: 4.8364 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8085 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.0279 2023/01/31 18:59:45 - mmengine - INFO - Epoch(train) [37][1260/1879] lr: 9.9964e-02 eta: 2 days, 10:29:53 time: 0.4607 data_time: 0.0374 memory: 18108 grad_norm: 2.9310 loss: 4.8904 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8060 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 2.0845 2023/01/31 18:59:55 - mmengine - INFO - Epoch(train) [37][1280/1879] lr: 9.9964e-02 eta: 2 days, 10:29:36 time: 0.4564 data_time: 0.0363 memory: 18108 grad_norm: 2.9040 loss: 4.7609 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6824 top1_acc_1: 0.4471 top5_acc_1: 0.7765 loss_cls_1: 2.0785 2023/01/31 19:00:03 - mmengine - INFO - Epoch(train) [37][1300/1879] lr: 9.9964e-02 eta: 2 days, 10:29:18 time: 0.4489 data_time: 0.0380 memory: 18108 grad_norm: 2.9060 loss: 4.8330 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7356 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.0974 2023/01/31 19:00:13 - mmengine - INFO - Epoch(train) [37][1320/1879] lr: 9.9963e-02 eta: 2 days, 10:29:03 time: 0.4686 data_time: 0.0360 memory: 18108 grad_norm: 2.8993 loss: 4.7126 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6878 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 2.0248 2023/01/31 19:00:22 - mmengine - INFO - Epoch(train) [37][1340/1879] lr: 9.9963e-02 eta: 2 days, 10:28:47 time: 0.4635 data_time: 0.0448 memory: 18108 grad_norm: 2.9139 loss: 4.7084 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7290 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.9794 2023/01/31 19:00:30 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 19:00:31 - mmengine - INFO - Epoch(train) [37][1360/1879] lr: 9.9963e-02 eta: 2 days, 10:28:31 time: 0.4605 data_time: 0.0344 memory: 18108 grad_norm: 2.9458 loss: 5.0409 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 3.0157 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 2.0253 2023/01/31 19:00:40 - mmengine - INFO - Epoch(train) [37][1380/1879] lr: 9.9963e-02 eta: 2 days, 10:28:14 time: 0.4539 data_time: 0.0365 memory: 18108 grad_norm: 2.9033 loss: 4.6603 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.7246 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9356 2023/01/31 19:00:50 - mmengine - INFO - Epoch(train) [37][1400/1879] lr: 9.9962e-02 eta: 2 days, 10:27:57 time: 0.4586 data_time: 0.0360 memory: 18108 grad_norm: 2.9010 loss: 4.9665 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.9493 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 2.0172 2023/01/31 19:00:59 - mmengine - INFO - Epoch(train) [37][1420/1879] lr: 9.9962e-02 eta: 2 days, 10:27:42 time: 0.4655 data_time: 0.0355 memory: 18108 grad_norm: 2.9178 loss: 4.6664 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6241 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 2.0423 2023/01/31 19:01:08 - mmengine - INFO - Epoch(train) [37][1440/1879] lr: 9.9962e-02 eta: 2 days, 10:27:25 time: 0.4590 data_time: 0.0351 memory: 18108 grad_norm: 2.9399 loss: 4.7229 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6944 top1_acc_1: 0.4706 top5_acc_1: 0.6941 loss_cls_1: 2.0285 2023/01/31 19:01:17 - mmengine - INFO - Epoch(train) [37][1460/1879] lr: 9.9961e-02 eta: 2 days, 10:27:08 time: 0.4540 data_time: 0.0367 memory: 18108 grad_norm: 2.8482 loss: 5.0995 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 3.0032 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 2.0963 2023/01/31 19:01:26 - mmengine - INFO - Epoch(train) [37][1480/1879] lr: 9.9961e-02 eta: 2 days, 10:26:52 time: 0.4564 data_time: 0.0365 memory: 18108 grad_norm: 2.8841 loss: 4.8790 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7447 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 2.1343 2023/01/31 19:01:36 - mmengine - INFO - Epoch(train) [37][1500/1879] lr: 9.9961e-02 eta: 2 days, 10:26:35 time: 0.4607 data_time: 0.0370 memory: 18108 grad_norm: 2.8971 loss: 5.0092 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9025 top1_acc_1: 0.4941 top5_acc_1: 0.6941 loss_cls_1: 2.1068 2023/01/31 19:01:45 - mmengine - INFO - Epoch(train) [37][1520/1879] lr: 9.9961e-02 eta: 2 days, 10:26:20 time: 0.4686 data_time: 0.0412 memory: 18108 grad_norm: 2.8781 loss: 4.8585 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7898 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.0688 2023/01/31 19:01:54 - mmengine - INFO - Epoch(train) [37][1540/1879] lr: 9.9960e-02 eta: 2 days, 10:26:03 time: 0.4557 data_time: 0.0375 memory: 18108 grad_norm: 2.8516 loss: 4.7576 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7786 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9791 2023/01/31 19:02:03 - mmengine - INFO - Epoch(train) [37][1560/1879] lr: 9.9960e-02 eta: 2 days, 10:25:47 time: 0.4562 data_time: 0.0384 memory: 18108 grad_norm: 2.8796 loss: 4.9081 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 2.8317 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 2.0764 2023/01/31 19:02:13 - mmengine - INFO - Epoch(train) [37][1580/1879] lr: 9.9960e-02 eta: 2 days, 10:25:31 time: 0.4681 data_time: 0.0373 memory: 18108 grad_norm: 2.8975 loss: 4.7314 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7297 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0017 2023/01/31 19:02:22 - mmengine - INFO - Epoch(train) [37][1600/1879] lr: 9.9959e-02 eta: 2 days, 10:25:15 time: 0.4621 data_time: 0.0455 memory: 18108 grad_norm: 2.8670 loss: 4.8232 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7166 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 2.1066 2023/01/31 19:02:31 - mmengine - INFO - Epoch(train) [37][1620/1879] lr: 9.9959e-02 eta: 2 days, 10:24:59 time: 0.4614 data_time: 0.0388 memory: 18108 grad_norm: 2.9410 loss: 4.8479 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8174 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 2.0305 2023/01/31 19:02:40 - mmengine - INFO - Epoch(train) [37][1640/1879] lr: 9.9959e-02 eta: 2 days, 10:24:43 time: 0.4563 data_time: 0.0380 memory: 18108 grad_norm: 2.9180 loss: 4.7518 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6974 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.0544 2023/01/31 19:02:49 - mmengine - INFO - Epoch(train) [37][1660/1879] lr: 9.9958e-02 eta: 2 days, 10:24:27 time: 0.4628 data_time: 0.0362 memory: 18108 grad_norm: 2.9343 loss: 5.1513 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.0343 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.1170 2023/01/31 19:02:59 - mmengine - INFO - Epoch(train) [37][1680/1879] lr: 9.9958e-02 eta: 2 days, 10:24:11 time: 0.4605 data_time: 0.0422 memory: 18108 grad_norm: 2.9017 loss: 4.7552 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7036 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.0517 2023/01/31 19:03:08 - mmengine - INFO - Epoch(train) [37][1700/1879] lr: 9.9958e-02 eta: 2 days, 10:23:56 time: 0.4722 data_time: 0.0356 memory: 18108 grad_norm: 2.8590 loss: 4.5422 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.4903 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 2.0519 2023/01/31 19:03:17 - mmengine - INFO - Epoch(train) [37][1720/1879] lr: 9.9957e-02 eta: 2 days, 10:23:40 time: 0.4613 data_time: 0.0361 memory: 18108 grad_norm: 2.8886 loss: 4.9662 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9556 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.0105 2023/01/31 19:03:26 - mmengine - INFO - Epoch(train) [37][1740/1879] lr: 9.9957e-02 eta: 2 days, 10:23:23 time: 0.4544 data_time: 0.0354 memory: 18108 grad_norm: 2.8226 loss: 4.5923 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5984 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9939 2023/01/31 19:03:36 - mmengine - INFO - Epoch(train) [37][1760/1879] lr: 9.9957e-02 eta: 2 days, 10:23:07 time: 0.4599 data_time: 0.0358 memory: 18108 grad_norm: 2.8572 loss: 4.7717 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7710 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0007 2023/01/31 19:03:45 - mmengine - INFO - Epoch(train) [37][1780/1879] lr: 9.9957e-02 eta: 2 days, 10:22:52 time: 0.4770 data_time: 0.0477 memory: 18108 grad_norm: 2.8650 loss: 4.8251 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.8109 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0142 2023/01/31 19:03:54 - mmengine - INFO - Epoch(train) [37][1800/1879] lr: 9.9956e-02 eta: 2 days, 10:22:36 time: 0.4550 data_time: 0.0355 memory: 18108 grad_norm: 2.8948 loss: 4.9480 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.8780 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0700 2023/01/31 19:04:04 - mmengine - INFO - Epoch(train) [37][1820/1879] lr: 9.9956e-02 eta: 2 days, 10:22:20 time: 0.4659 data_time: 0.0367 memory: 18108 grad_norm: 2.8657 loss: 4.7657 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6496 top1_acc_1: 0.4824 top5_acc_1: 0.6588 loss_cls_1: 2.1161 2023/01/31 19:04:13 - mmengine - INFO - Epoch(train) [37][1840/1879] lr: 9.9956e-02 eta: 2 days, 10:22:05 time: 0.4726 data_time: 0.0357 memory: 18108 grad_norm: 2.9063 loss: 4.7219 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7116 top1_acc_1: 0.4588 top5_acc_1: 0.7412 loss_cls_1: 2.0103 2023/01/31 19:04:22 - mmengine - INFO - Epoch(train) [37][1860/1879] lr: 9.9955e-02 eta: 2 days, 10:21:50 time: 0.4678 data_time: 0.0435 memory: 18108 grad_norm: 2.8686 loss: 4.7113 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6962 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0151 2023/01/31 19:04:31 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 19:04:31 - mmengine - INFO - Epoch(train) [37][1879/1879] lr: 9.9955e-02 eta: 2 days, 10:21:35 time: 0.4606 data_time: 0.0302 memory: 18108 grad_norm: 2.9029 loss: 4.8121 top1_acc_0: 0.0000 top5_acc_0: 0.1429 loss_cls_0: 2.7902 top1_acc_1: 0.4824 top5_acc_1: 0.8000 loss_cls_1: 2.0219 2023/01/31 19:04:46 - mmengine - INFO - Epoch(train) [38][ 20/1879] lr: 9.9955e-02 eta: 2 days, 10:21:48 time: 0.7111 data_time: 0.2578 memory: 18108 grad_norm: 2.8320 loss: 4.5473 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5715 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.9758 2023/01/31 19:04:56 - mmengine - INFO - Epoch(train) [38][ 40/1879] lr: 9.9954e-02 eta: 2 days, 10:21:34 time: 0.4753 data_time: 0.0303 memory: 18108 grad_norm: 2.8662 loss: 4.9209 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.9397 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.9813 2023/01/31 19:05:06 - mmengine - INFO - Epoch(train) [38][ 60/1879] lr: 9.9954e-02 eta: 2 days, 10:21:22 time: 0.4970 data_time: 0.0388 memory: 18108 grad_norm: 2.8846 loss: 4.7352 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7527 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.9824 2023/01/31 19:05:16 - mmengine - INFO - Epoch(train) [38][ 80/1879] lr: 9.9954e-02 eta: 2 days, 10:21:12 time: 0.5111 data_time: 0.0304 memory: 18108 grad_norm: 2.9008 loss: 4.6428 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6060 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 2.0368 2023/01/31 19:05:26 - mmengine - INFO - Epoch(train) [38][ 100/1879] lr: 9.9953e-02 eta: 2 days, 10:20:59 time: 0.4919 data_time: 0.0387 memory: 18108 grad_norm: 2.9178 loss: 4.6877 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7132 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 1.9745 2023/01/31 19:05:35 - mmengine - INFO - Epoch(train) [38][ 120/1879] lr: 9.9953e-02 eta: 2 days, 10:20:45 time: 0.4754 data_time: 0.0328 memory: 18108 grad_norm: 2.9041 loss: 4.4554 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5080 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9473 2023/01/31 19:05:45 - mmengine - INFO - Epoch(train) [38][ 140/1879] lr: 9.9953e-02 eta: 2 days, 10:20:35 time: 0.5079 data_time: 0.0339 memory: 18108 grad_norm: 2.8829 loss: 4.6171 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.7293 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.8878 2023/01/31 19:05:55 - mmengine - INFO - Epoch(train) [38][ 160/1879] lr: 9.9952e-02 eta: 2 days, 10:20:22 time: 0.4927 data_time: 0.0414 memory: 18108 grad_norm: 2.8596 loss: 4.7559 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8050 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.9509 2023/01/31 19:06:05 - mmengine - INFO - Epoch(train) [38][ 180/1879] lr: 9.9952e-02 eta: 2 days, 10:20:10 time: 0.4915 data_time: 0.0354 memory: 18108 grad_norm: 2.8898 loss: 4.5606 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6200 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9405 2023/01/31 19:06:15 - mmengine - INFO - Epoch(train) [38][ 200/1879] lr: 9.9952e-02 eta: 2 days, 10:19:58 time: 0.4987 data_time: 0.0320 memory: 18108 grad_norm: 2.8628 loss: 4.6984 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7127 top1_acc_1: 0.5412 top5_acc_1: 0.8471 loss_cls_1: 1.9857 2023/01/31 19:06:25 - mmengine - INFO - Epoch(train) [38][ 220/1879] lr: 9.9951e-02 eta: 2 days, 10:19:48 time: 0.5100 data_time: 0.0358 memory: 18108 grad_norm: 2.9320 loss: 4.7870 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7588 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0282 2023/01/31 19:06:35 - mmengine - INFO - Epoch(train) [38][ 240/1879] lr: 9.9951e-02 eta: 2 days, 10:19:35 time: 0.4914 data_time: 0.0316 memory: 18108 grad_norm: 2.9300 loss: 4.8444 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8937 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.9506 2023/01/31 19:06:45 - mmengine - INFO - Epoch(train) [38][ 260/1879] lr: 9.9951e-02 eta: 2 days, 10:19:23 time: 0.4951 data_time: 0.0364 memory: 18108 grad_norm: 2.9338 loss: 4.7700 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7589 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.0111 2023/01/31 19:06:55 - mmengine - INFO - Epoch(train) [38][ 280/1879] lr: 9.9950e-02 eta: 2 days, 10:19:11 time: 0.4897 data_time: 0.0313 memory: 18108 grad_norm: 2.9045 loss: 4.6726 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7785 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8942 2023/01/31 19:07:05 - mmengine - INFO - Epoch(train) [38][ 300/1879] lr: 9.9950e-02 eta: 2 days, 10:18:59 time: 0.4970 data_time: 0.0354 memory: 18108 grad_norm: 2.9091 loss: 4.7787 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.6971 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.0815 2023/01/31 19:07:15 - mmengine - INFO - Epoch(train) [38][ 320/1879] lr: 9.9950e-02 eta: 2 days, 10:18:46 time: 0.4894 data_time: 0.0325 memory: 18108 grad_norm: 2.9144 loss: 4.7743 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.7551 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 2.0191 2023/01/31 19:07:24 - mmengine - INFO - Epoch(train) [38][ 340/1879] lr: 9.9949e-02 eta: 2 days, 10:18:33 time: 0.4857 data_time: 0.0367 memory: 18108 grad_norm: 2.9182 loss: 4.7869 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8235 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.9634 2023/01/31 19:07:34 - mmengine - INFO - Epoch(train) [38][ 360/1879] lr: 9.9949e-02 eta: 2 days, 10:18:20 time: 0.4861 data_time: 0.0392 memory: 18108 grad_norm: 2.9182 loss: 4.7575 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7797 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9778 2023/01/31 19:07:44 - mmengine - INFO - Epoch(train) [38][ 380/1879] lr: 9.9949e-02 eta: 2 days, 10:18:07 time: 0.4880 data_time: 0.0373 memory: 18108 grad_norm: 2.9073 loss: 4.6715 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6568 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.0147 2023/01/31 19:07:54 - mmengine - INFO - Epoch(train) [38][ 400/1879] lr: 9.9948e-02 eta: 2 days, 10:17:55 time: 0.4918 data_time: 0.0330 memory: 18108 grad_norm: 2.9765 loss: 4.8706 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.7357 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.1349 2023/01/31 19:08:03 - mmengine - INFO - Epoch(train) [38][ 420/1879] lr: 9.9948e-02 eta: 2 days, 10:17:42 time: 0.4927 data_time: 0.0367 memory: 18108 grad_norm: 2.9068 loss: 4.8504 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8672 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.9832 2023/01/31 19:08:13 - mmengine - INFO - Epoch(train) [38][ 440/1879] lr: 9.9948e-02 eta: 2 days, 10:17:30 time: 0.4916 data_time: 0.0371 memory: 18108 grad_norm: 2.9395 loss: 4.7829 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6966 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 2.0864 2023/01/31 19:08:23 - mmengine - INFO - Epoch(train) [38][ 460/1879] lr: 9.9947e-02 eta: 2 days, 10:17:19 time: 0.5028 data_time: 0.0372 memory: 18108 grad_norm: 2.9254 loss: 4.8570 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.8425 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 2.0145 2023/01/31 19:08:32 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 19:08:33 - mmengine - INFO - Epoch(train) [38][ 480/1879] lr: 9.9947e-02 eta: 2 days, 10:17:05 time: 0.4829 data_time: 0.0329 memory: 18108 grad_norm: 2.8544 loss: 4.9556 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9036 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0519 2023/01/31 19:08:43 - mmengine - INFO - Epoch(train) [38][ 500/1879] lr: 9.9947e-02 eta: 2 days, 10:16:55 time: 0.5092 data_time: 0.0498 memory: 18108 grad_norm: 2.8651 loss: 4.8938 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7656 top1_acc_1: 0.4118 top5_acc_1: 0.6471 loss_cls_1: 2.1282 2023/01/31 19:08:53 - mmengine - INFO - Epoch(train) [38][ 520/1879] lr: 9.9946e-02 eta: 2 days, 10:16:43 time: 0.4968 data_time: 0.0256 memory: 18108 grad_norm: 2.8987 loss: 4.7512 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7285 top1_acc_1: 0.5647 top5_acc_1: 0.7176 loss_cls_1: 2.0228 2023/01/31 19:09:04 - mmengine - INFO - Epoch(train) [38][ 540/1879] lr: 9.9946e-02 eta: 2 days, 10:16:35 time: 0.5245 data_time: 0.0371 memory: 18108 grad_norm: 2.9339 loss: 4.6017 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7257 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.8760 2023/01/31 19:09:14 - mmengine - INFO - Epoch(train) [38][ 560/1879] lr: 9.9946e-02 eta: 2 days, 10:16:22 time: 0.4933 data_time: 0.0287 memory: 18108 grad_norm: 2.9033 loss: 4.6168 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6694 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 1.9474 2023/01/31 19:09:24 - mmengine - INFO - Epoch(train) [38][ 580/1879] lr: 9.9945e-02 eta: 2 days, 10:16:15 time: 0.5354 data_time: 0.0423 memory: 18108 grad_norm: 2.9316 loss: 4.8245 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7436 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 2.0809 2023/01/31 19:09:35 - mmengine - INFO - Epoch(train) [38][ 600/1879] lr: 9.9945e-02 eta: 2 days, 10:16:06 time: 0.5197 data_time: 0.0298 memory: 18108 grad_norm: 2.8603 loss: 4.8310 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.8447 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9863 2023/01/31 19:09:45 - mmengine - INFO - Epoch(train) [38][ 620/1879] lr: 9.9945e-02 eta: 2 days, 10:15:58 time: 0.5251 data_time: 0.0369 memory: 18108 grad_norm: 2.9595 loss: 4.7145 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6627 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.0518 2023/01/31 19:09:56 - mmengine - INFO - Epoch(train) [38][ 640/1879] lr: 9.9944e-02 eta: 2 days, 10:15:49 time: 0.5226 data_time: 0.0348 memory: 18108 grad_norm: 2.8996 loss: 4.8718 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8346 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0371 2023/01/31 19:10:06 - mmengine - INFO - Epoch(train) [38][ 660/1879] lr: 9.9944e-02 eta: 2 days, 10:15:40 time: 0.5259 data_time: 0.0367 memory: 18108 grad_norm: 2.8932 loss: 4.7112 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6545 top1_acc_1: 0.4235 top5_acc_1: 0.6824 loss_cls_1: 2.0567 2023/01/31 19:10:17 - mmengine - INFO - Epoch(train) [38][ 680/1879] lr: 9.9943e-02 eta: 2 days, 10:15:31 time: 0.5170 data_time: 0.0292 memory: 18108 grad_norm: 2.8930 loss: 4.8027 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.8008 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0019 2023/01/31 19:10:27 - mmengine - INFO - Epoch(train) [38][ 700/1879] lr: 9.9943e-02 eta: 2 days, 10:15:22 time: 0.5233 data_time: 0.0427 memory: 18108 grad_norm: 2.9287 loss: 4.7903 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.8640 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.9264 2023/01/31 19:10:38 - mmengine - INFO - Epoch(train) [38][ 720/1879] lr: 9.9943e-02 eta: 2 days, 10:15:15 time: 0.5357 data_time: 0.0295 memory: 18108 grad_norm: 2.8733 loss: 4.5159 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5551 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.9608 2023/01/31 19:10:48 - mmengine - INFO - Epoch(train) [38][ 740/1879] lr: 9.9942e-02 eta: 2 days, 10:15:05 time: 0.5161 data_time: 0.0363 memory: 18108 grad_norm: 2.9125 loss: 4.9542 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.8870 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.0672 2023/01/31 19:10:58 - mmengine - INFO - Epoch(train) [38][ 760/1879] lr: 9.9942e-02 eta: 2 days, 10:14:55 time: 0.5134 data_time: 0.0360 memory: 18108 grad_norm: 2.9004 loss: 4.8090 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7830 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.0260 2023/01/31 19:11:09 - mmengine - INFO - Epoch(train) [38][ 780/1879] lr: 9.9942e-02 eta: 2 days, 10:14:46 time: 0.5205 data_time: 0.0372 memory: 18108 grad_norm: 2.9130 loss: 4.8245 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.7229 top1_acc_1: 0.5059 top5_acc_1: 0.6471 loss_cls_1: 2.1015 2023/01/31 19:11:19 - mmengine - INFO - Epoch(train) [38][ 800/1879] lr: 9.9941e-02 eta: 2 days, 10:14:38 time: 0.5253 data_time: 0.0283 memory: 18108 grad_norm: 2.8926 loss: 4.8717 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.8402 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 2.0315 2023/01/31 19:11:29 - mmengine - INFO - Epoch(train) [38][ 820/1879] lr: 9.9941e-02 eta: 2 days, 10:14:27 time: 0.5083 data_time: 0.0445 memory: 18108 grad_norm: 2.8693 loss: 4.8107 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7221 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0886 2023/01/31 19:11:40 - mmengine - INFO - Epoch(train) [38][ 840/1879] lr: 9.9941e-02 eta: 2 days, 10:14:19 time: 0.5237 data_time: 0.0291 memory: 18108 grad_norm: 2.9078 loss: 5.0626 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 3.0575 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.0051 2023/01/31 19:11:50 - mmengine - INFO - Epoch(train) [38][ 860/1879] lr: 9.9940e-02 eta: 2 days, 10:14:09 time: 0.5133 data_time: 0.0367 memory: 18108 grad_norm: 2.9029 loss: 4.7574 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.6228 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 2.1346 2023/01/31 19:12:00 - mmengine - INFO - Epoch(train) [38][ 880/1879] lr: 9.9940e-02 eta: 2 days, 10:13:58 time: 0.5077 data_time: 0.0283 memory: 18108 grad_norm: 2.8927 loss: 4.9637 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8717 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0921 2023/01/31 19:12:11 - mmengine - INFO - Epoch(train) [38][ 900/1879] lr: 9.9939e-02 eta: 2 days, 10:13:48 time: 0.5098 data_time: 0.0427 memory: 18108 grad_norm: 2.8857 loss: 4.8786 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9455 top1_acc_1: 0.3647 top5_acc_1: 0.7529 loss_cls_1: 1.9331 2023/01/31 19:12:24 - mmengine - INFO - Epoch(train) [38][ 920/1879] lr: 9.9939e-02 eta: 2 days, 10:13:59 time: 0.6949 data_time: 0.0307 memory: 18108 grad_norm: 2.8814 loss: 4.7584 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7525 top1_acc_1: 0.4353 top5_acc_1: 0.7765 loss_cls_1: 2.0059 2023/01/31 19:12:35 - mmengine - INFO - Epoch(train) [38][ 940/1879] lr: 9.9939e-02 eta: 2 days, 10:13:50 time: 0.5185 data_time: 0.0376 memory: 18108 grad_norm: 2.8708 loss: 4.9652 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.9041 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 2.0610 2023/01/31 19:12:45 - mmengine - INFO - Epoch(train) [38][ 960/1879] lr: 9.9938e-02 eta: 2 days, 10:13:40 time: 0.5131 data_time: 0.0363 memory: 18108 grad_norm: 2.9128 loss: 5.2176 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 3.1328 top1_acc_1: 0.4000 top5_acc_1: 0.6824 loss_cls_1: 2.0848 2023/01/31 19:12:55 - mmengine - INFO - Epoch(train) [38][ 980/1879] lr: 9.9938e-02 eta: 2 days, 10:13:30 time: 0.5114 data_time: 0.0387 memory: 18108 grad_norm: 2.9121 loss: 5.0198 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8969 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 2.1228 2023/01/31 19:13:06 - mmengine - INFO - Epoch(train) [38][1000/1879] lr: 9.9938e-02 eta: 2 days, 10:13:21 time: 0.5211 data_time: 0.0288 memory: 18108 grad_norm: 2.9280 loss: 5.0021 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.0241 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.9781 2023/01/31 19:13:16 - mmengine - INFO - Epoch(train) [38][1020/1879] lr: 9.9937e-02 eta: 2 days, 10:13:10 time: 0.5008 data_time: 0.0451 memory: 18108 grad_norm: 2.9056 loss: 4.8773 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7815 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 2.0959 2023/01/31 19:13:26 - mmengine - INFO - Epoch(train) [38][1040/1879] lr: 9.9937e-02 eta: 2 days, 10:12:59 time: 0.5054 data_time: 0.0297 memory: 18108 grad_norm: 2.8644 loss: 4.8397 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8070 top1_acc_1: 0.6353 top5_acc_1: 0.7647 loss_cls_1: 2.0327 2023/01/31 19:13:36 - mmengine - INFO - Epoch(train) [38][1060/1879] lr: 9.9936e-02 eta: 2 days, 10:12:48 time: 0.5059 data_time: 0.0368 memory: 18108 grad_norm: 2.9217 loss: 4.6617 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6425 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 2.0191 2023/01/31 19:13:46 - mmengine - INFO - Epoch(train) [38][1080/1879] lr: 9.9936e-02 eta: 2 days, 10:12:39 time: 0.5168 data_time: 0.0302 memory: 18108 grad_norm: 2.8756 loss: 4.6272 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6681 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.9592 2023/01/31 19:13:56 - mmengine - INFO - Epoch(train) [38][1100/1879] lr: 9.9936e-02 eta: 2 days, 10:12:28 time: 0.5084 data_time: 0.0449 memory: 18108 grad_norm: 2.8695 loss: 4.7466 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7108 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.0358 2023/01/31 19:14:07 - mmengine - INFO - Epoch(train) [38][1120/1879] lr: 9.9935e-02 eta: 2 days, 10:12:17 time: 0.5030 data_time: 0.0293 memory: 18108 grad_norm: 2.8775 loss: 4.7617 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7711 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.9907 2023/01/31 19:14:17 - mmengine - INFO - Epoch(train) [38][1140/1879] lr: 9.9935e-02 eta: 2 days, 10:12:07 time: 0.5119 data_time: 0.0393 memory: 18108 grad_norm: 2.8884 loss: 4.8398 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7977 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 2.0420 2023/01/31 19:14:27 - mmengine - INFO - Epoch(train) [38][1160/1879] lr: 9.9935e-02 eta: 2 days, 10:11:57 time: 0.5121 data_time: 0.0290 memory: 18108 grad_norm: 2.8888 loss: 4.7648 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7463 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 2.0185 2023/01/31 19:14:37 - mmengine - INFO - Epoch(train) [38][1180/1879] lr: 9.9934e-02 eta: 2 days, 10:11:45 time: 0.4949 data_time: 0.0379 memory: 18108 grad_norm: 2.9135 loss: 4.6147 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6379 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9768 2023/01/31 19:14:47 - mmengine - INFO - Epoch(train) [38][1200/1879] lr: 9.9934e-02 eta: 2 days, 10:11:33 time: 0.4991 data_time: 0.0284 memory: 18108 grad_norm: 2.8939 loss: 4.8364 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9172 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9192 2023/01/31 19:14:57 - mmengine - INFO - Epoch(train) [38][1220/1879] lr: 9.9933e-02 eta: 2 days, 10:11:24 time: 0.5207 data_time: 0.0369 memory: 18108 grad_norm: 2.9572 loss: 4.9594 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9414 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 2.0180 2023/01/31 19:15:07 - mmengine - INFO - Epoch(train) [38][1240/1879] lr: 9.9933e-02 eta: 2 days, 10:11:13 time: 0.5011 data_time: 0.0297 memory: 18108 grad_norm: 2.8471 loss: 4.7758 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7608 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 2.0150 2023/01/31 19:15:17 - mmengine - INFO - Epoch(train) [38][1260/1879] lr: 9.9933e-02 eta: 2 days, 10:11:01 time: 0.4989 data_time: 0.0362 memory: 18108 grad_norm: 2.9169 loss: 4.9754 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.8880 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 2.0874 2023/01/31 19:15:28 - mmengine - INFO - Epoch(train) [38][1280/1879] lr: 9.9932e-02 eta: 2 days, 10:10:51 time: 0.5117 data_time: 0.0303 memory: 18108 grad_norm: 2.9004 loss: 4.5882 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5393 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 2.0489 2023/01/31 19:15:38 - mmengine - INFO - Epoch(train) [38][1300/1879] lr: 9.9932e-02 eta: 2 days, 10:10:42 time: 0.5156 data_time: 0.0433 memory: 18108 grad_norm: 2.9470 loss: 5.1856 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0964 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 2.0893 2023/01/31 19:15:48 - mmengine - INFO - Epoch(train) [38][1320/1879] lr: 9.9931e-02 eta: 2 days, 10:10:32 time: 0.5143 data_time: 0.0292 memory: 18108 grad_norm: 2.8338 loss: 4.7543 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7961 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9582 2023/01/31 19:15:58 - mmengine - INFO - Epoch(train) [38][1340/1879] lr: 9.9931e-02 eta: 2 days, 10:10:19 time: 0.4888 data_time: 0.0355 memory: 18108 grad_norm: 2.8923 loss: 4.7646 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7469 top1_acc_1: 0.4824 top5_acc_1: 0.7882 loss_cls_1: 2.0177 2023/01/31 19:16:08 - mmengine - INFO - Epoch(train) [38][1360/1879] lr: 9.9931e-02 eta: 2 days, 10:10:10 time: 0.5206 data_time: 0.0360 memory: 18108 grad_norm: 2.8824 loss: 4.6443 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5908 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 2.0535 2023/01/31 19:16:18 - mmengine - INFO - Epoch(train) [38][1380/1879] lr: 9.9930e-02 eta: 2 days, 10:09:59 time: 0.5022 data_time: 0.0359 memory: 18108 grad_norm: 2.9050 loss: 4.6149 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6523 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.9626 2023/01/31 19:16:29 - mmengine - INFO - Epoch(train) [38][1400/1879] lr: 9.9930e-02 eta: 2 days, 10:09:49 time: 0.5152 data_time: 0.0285 memory: 18108 grad_norm: 2.9892 loss: 5.0475 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0139 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 2.0336 2023/01/31 19:16:39 - mmengine - INFO - Epoch(train) [38][1420/1879] lr: 9.9929e-02 eta: 2 days, 10:09:40 time: 0.5188 data_time: 0.0438 memory: 18108 grad_norm: 2.8979 loss: 4.8858 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7665 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.1193 2023/01/31 19:16:49 - mmengine - INFO - Epoch(train) [38][1440/1879] lr: 9.9929e-02 eta: 2 days, 10:09:29 time: 0.5028 data_time: 0.0302 memory: 18108 grad_norm: 2.8439 loss: 4.8878 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7769 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 2.1110 2023/01/31 19:16:59 - mmengine - INFO - Epoch(train) [38][1460/1879] lr: 9.9929e-02 eta: 2 days, 10:09:18 time: 0.5012 data_time: 0.0388 memory: 18108 grad_norm: 2.8467 loss: 4.9989 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 2.9139 top1_acc_1: 0.4588 top5_acc_1: 0.7647 loss_cls_1: 2.0850 2023/01/31 19:17:08 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 19:17:09 - mmengine - INFO - Epoch(train) [38][1480/1879] lr: 9.9928e-02 eta: 2 days, 10:09:07 time: 0.5078 data_time: 0.0404 memory: 18108 grad_norm: 2.8711 loss: 4.6149 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7151 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8998 2023/01/31 19:17:19 - mmengine - INFO - Epoch(train) [38][1500/1879] lr: 9.9928e-02 eta: 2 days, 10:08:55 time: 0.4948 data_time: 0.0376 memory: 18108 grad_norm: 2.8577 loss: 5.1220 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 3.0025 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 2.1195 2023/01/31 19:17:29 - mmengine - INFO - Epoch(train) [38][1520/1879] lr: 9.9927e-02 eta: 2 days, 10:08:43 time: 0.4985 data_time: 0.0302 memory: 18108 grad_norm: 2.8600 loss: 5.1426 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.1217 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.0209 2023/01/31 19:17:39 - mmengine - INFO - Epoch(train) [38][1540/1879] lr: 9.9927e-02 eta: 2 days, 10:08:32 time: 0.5006 data_time: 0.0374 memory: 18108 grad_norm: 2.8927 loss: 4.7912 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8036 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9876 2023/01/31 19:17:50 - mmengine - INFO - Epoch(train) [38][1560/1879] lr: 9.9927e-02 eta: 2 days, 10:08:23 time: 0.5197 data_time: 0.0320 memory: 18108 grad_norm: 2.8891 loss: 4.8593 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8024 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0568 2023/01/31 19:18:00 - mmengine - INFO - Epoch(train) [38][1580/1879] lr: 9.9926e-02 eta: 2 days, 10:08:11 time: 0.4936 data_time: 0.0369 memory: 18108 grad_norm: 2.8784 loss: 4.8931 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7887 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.1044 2023/01/31 19:18:09 - mmengine - INFO - Epoch(train) [38][1600/1879] lr: 9.9926e-02 eta: 2 days, 10:07:58 time: 0.4888 data_time: 0.0290 memory: 18108 grad_norm: 2.8407 loss: 4.8155 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7839 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.0316 2023/01/31 19:18:20 - mmengine - INFO - Epoch(train) [38][1620/1879] lr: 9.9925e-02 eta: 2 days, 10:07:48 time: 0.5137 data_time: 0.0374 memory: 18108 grad_norm: 2.9032 loss: 5.0115 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8747 top1_acc_1: 0.4471 top5_acc_1: 0.7412 loss_cls_1: 2.1368 2023/01/31 19:18:30 - mmengine - INFO - Epoch(train) [38][1640/1879] lr: 9.9925e-02 eta: 2 days, 10:07:37 time: 0.5005 data_time: 0.0296 memory: 18108 grad_norm: 2.9242 loss: 4.8575 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8557 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 2.0018 2023/01/31 19:18:40 - mmengine - INFO - Epoch(train) [38][1660/1879] lr: 9.9925e-02 eta: 2 days, 10:07:26 time: 0.5070 data_time: 0.0376 memory: 18108 grad_norm: 2.9028 loss: 5.0568 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 3.0012 top1_acc_1: 0.5294 top5_acc_1: 0.6824 loss_cls_1: 2.0556 2023/01/31 19:18:50 - mmengine - INFO - Epoch(train) [38][1680/1879] lr: 9.9924e-02 eta: 2 days, 10:07:15 time: 0.5035 data_time: 0.0433 memory: 18108 grad_norm: 2.8166 loss: 5.0359 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.9871 top1_acc_1: 0.4471 top5_acc_1: 0.6824 loss_cls_1: 2.0488 2023/01/31 19:19:00 - mmengine - INFO - Epoch(train) [38][1700/1879] lr: 9.9924e-02 eta: 2 days, 10:07:06 time: 0.5211 data_time: 0.0355 memory: 18108 grad_norm: 2.8785 loss: 5.0768 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.9345 top1_acc_1: 0.5647 top5_acc_1: 0.7059 loss_cls_1: 2.1423 2023/01/31 19:19:10 - mmengine - INFO - Epoch(train) [38][1720/1879] lr: 9.9923e-02 eta: 2 days, 10:06:54 time: 0.4941 data_time: 0.0302 memory: 18108 grad_norm: 2.8799 loss: 4.8960 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.7625 top1_acc_1: 0.4353 top5_acc_1: 0.6824 loss_cls_1: 2.1336 2023/01/31 19:19:21 - mmengine - INFO - Epoch(train) [38][1740/1879] lr: 9.9923e-02 eta: 2 days, 10:06:47 time: 0.5367 data_time: 0.0440 memory: 18108 grad_norm: 2.8834 loss: 4.9623 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.8181 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 2.1442 2023/01/31 19:19:31 - mmengine - INFO - Epoch(train) [38][1760/1879] lr: 9.9922e-02 eta: 2 days, 10:06:35 time: 0.4990 data_time: 0.0280 memory: 18108 grad_norm: 2.9160 loss: 4.8861 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8027 top1_acc_1: 0.5294 top5_acc_1: 0.6824 loss_cls_1: 2.0833 2023/01/31 19:19:41 - mmengine - INFO - Epoch(train) [38][1780/1879] lr: 9.9922e-02 eta: 2 days, 10:06:25 time: 0.5062 data_time: 0.0362 memory: 18108 grad_norm: 2.9495 loss: 4.6037 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6405 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.9632 2023/01/31 19:19:51 - mmengine - INFO - Epoch(train) [38][1800/1879] lr: 9.9922e-02 eta: 2 days, 10:06:15 time: 0.5139 data_time: 0.0367 memory: 18108 grad_norm: 2.8642 loss: 4.8083 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7816 top1_acc_1: 0.4706 top5_acc_1: 0.7882 loss_cls_1: 2.0267 2023/01/31 19:20:01 - mmengine - INFO - Epoch(train) [38][1820/1879] lr: 9.9921e-02 eta: 2 days, 10:06:02 time: 0.4920 data_time: 0.0338 memory: 18108 grad_norm: 2.8947 loss: 4.8180 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8478 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9702 2023/01/31 19:20:43 - mmengine - INFO - Epoch(train) [38][1840/1879] lr: 9.9921e-02 eta: 2 days, 10:08:52 time: 2.0765 data_time: 1.5796 memory: 18108 grad_norm: 2.8435 loss: 5.1334 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 3.0842 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.0492 2023/01/31 19:20:52 - mmengine - INFO - Epoch(train) [38][1860/1879] lr: 9.9920e-02 eta: 2 days, 10:08:38 time: 0.4812 data_time: 0.0332 memory: 18108 grad_norm: 2.8770 loss: 4.9305 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8005 top1_acc_1: 0.4588 top5_acc_1: 0.7765 loss_cls_1: 2.1300 2023/01/31 19:21:01 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 19:21:01 - mmengine - INFO - Epoch(train) [38][1879/1879] lr: 9.9920e-02 eta: 2 days, 10:08:25 time: 0.4752 data_time: 0.0386 memory: 18108 grad_norm: 2.9473 loss: 4.9817 top1_acc_0: 0.1429 top5_acc_0: 0.7143 loss_cls_0: 2.9065 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 2.0753 2023/01/31 19:21:16 - mmengine - INFO - Epoch(train) [39][ 20/1879] lr: 9.9920e-02 eta: 2 days, 10:08:36 time: 0.6968 data_time: 0.2505 memory: 18108 grad_norm: 2.8503 loss: 4.6816 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 2.8202 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.8613 2023/01/31 19:21:26 - mmengine - INFO - Epoch(train) [39][ 40/1879] lr: 9.9919e-02 eta: 2 days, 10:08:21 time: 0.4741 data_time: 0.0326 memory: 18108 grad_norm: 2.8369 loss: 4.7624 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7454 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 2.0170 2023/01/31 19:21:35 - mmengine - INFO - Epoch(train) [39][ 60/1879] lr: 9.9919e-02 eta: 2 days, 10:08:09 time: 0.4926 data_time: 0.0349 memory: 18108 grad_norm: 2.8497 loss: 4.7973 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8665 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9308 2023/01/31 19:21:46 - mmengine - INFO - Epoch(train) [39][ 80/1879] lr: 9.9918e-02 eta: 2 days, 10:08:00 time: 0.5211 data_time: 0.0333 memory: 18108 grad_norm: 2.8707 loss: 4.7276 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7396 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.9881 2023/01/31 19:21:56 - mmengine - INFO - Epoch(train) [39][ 100/1879] lr: 9.9918e-02 eta: 2 days, 10:07:47 time: 0.4874 data_time: 0.0349 memory: 18108 grad_norm: 2.8230 loss: 5.0165 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9099 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.1065 2023/01/31 19:22:05 - mmengine - INFO - Epoch(train) [39][ 120/1879] lr: 9.9917e-02 eta: 2 days, 10:07:34 time: 0.4908 data_time: 0.0320 memory: 18108 grad_norm: 2.9198 loss: 4.6222 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6164 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.0057 2023/01/31 19:22:16 - mmengine - INFO - Epoch(train) [39][ 140/1879] lr: 9.9917e-02 eta: 2 days, 10:07:26 time: 0.5262 data_time: 0.0440 memory: 18108 grad_norm: 2.9186 loss: 4.9724 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9485 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 2.0239 2023/01/31 19:22:26 - mmengine - INFO - Epoch(train) [39][ 160/1879] lr: 9.9916e-02 eta: 2 days, 10:07:13 time: 0.4862 data_time: 0.0322 memory: 18108 grad_norm: 2.9074 loss: 4.7609 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7540 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 2.0069 2023/01/31 19:22:35 - mmengine - INFO - Epoch(train) [39][ 180/1879] lr: 9.9916e-02 eta: 2 days, 10:06:59 time: 0.4810 data_time: 0.0360 memory: 18108 grad_norm: 2.8656 loss: 4.7218 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6741 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.0477 2023/01/31 19:22:45 - mmengine - INFO - Epoch(train) [39][ 200/1879] lr: 9.9916e-02 eta: 2 days, 10:06:48 time: 0.5000 data_time: 0.0327 memory: 18108 grad_norm: 2.8761 loss: 4.8727 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8967 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.9760 2023/01/31 19:22:55 - mmengine - INFO - Epoch(train) [39][ 220/1879] lr: 9.9915e-02 eta: 2 days, 10:06:37 time: 0.5025 data_time: 0.0420 memory: 18108 grad_norm: 2.8597 loss: 4.5958 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6740 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9218 2023/01/31 19:23:05 - mmengine - INFO - Epoch(train) [39][ 240/1879] lr: 9.9915e-02 eta: 2 days, 10:06:23 time: 0.4809 data_time: 0.0323 memory: 18108 grad_norm: 2.9279 loss: 4.6541 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6581 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.9960 2023/01/31 19:23:15 - mmengine - INFO - Epoch(train) [39][ 260/1879] lr: 9.9914e-02 eta: 2 days, 10:06:09 time: 0.4826 data_time: 0.0355 memory: 18108 grad_norm: 2.9039 loss: 4.7873 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.7166 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0707 2023/01/31 19:23:25 - mmengine - INFO - Epoch(train) [39][ 280/1879] lr: 9.9914e-02 eta: 2 days, 10:05:58 time: 0.5036 data_time: 0.0352 memory: 18108 grad_norm: 2.8655 loss: 4.6783 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.7481 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.9302 2023/01/31 19:23:35 - mmengine - INFO - Epoch(train) [39][ 300/1879] lr: 9.9913e-02 eta: 2 days, 10:05:48 time: 0.5070 data_time: 0.0412 memory: 18108 grad_norm: 2.8787 loss: 4.7870 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8218 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9653 2023/01/31 19:23:45 - mmengine - INFO - Epoch(train) [39][ 320/1879] lr: 9.9913e-02 eta: 2 days, 10:05:35 time: 0.4851 data_time: 0.0329 memory: 18108 grad_norm: 2.9350 loss: 4.7414 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7562 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9852 2023/01/31 19:23:55 - mmengine - INFO - Epoch(train) [39][ 340/1879] lr: 9.9913e-02 eta: 2 days, 10:05:23 time: 0.4978 data_time: 0.0343 memory: 18108 grad_norm: 2.9811 loss: 4.8227 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7649 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.0578 2023/01/31 19:24:05 - mmengine - INFO - Epoch(train) [39][ 360/1879] lr: 9.9912e-02 eta: 2 days, 10:05:11 time: 0.5002 data_time: 0.0406 memory: 18108 grad_norm: 2.9528 loss: 4.6356 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6517 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9839 2023/01/31 19:24:14 - mmengine - INFO - Epoch(train) [39][ 380/1879] lr: 9.9912e-02 eta: 2 days, 10:04:59 time: 0.4931 data_time: 0.0341 memory: 18108 grad_norm: 2.8821 loss: 4.7466 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7819 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 1.9647 2023/01/31 19:24:24 - mmengine - INFO - Epoch(train) [39][ 400/1879] lr: 9.9911e-02 eta: 2 days, 10:04:46 time: 0.4869 data_time: 0.0336 memory: 18108 grad_norm: 2.8543 loss: 4.8593 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8705 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.9888 2023/01/31 19:24:34 - mmengine - INFO - Epoch(train) [39][ 420/1879] lr: 9.9911e-02 eta: 2 days, 10:04:33 time: 0.4887 data_time: 0.0335 memory: 18108 grad_norm: 2.9096 loss: 4.7246 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7104 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0143 2023/01/31 19:24:44 - mmengine - INFO - Epoch(train) [39][ 440/1879] lr: 9.9910e-02 eta: 2 days, 10:04:22 time: 0.4991 data_time: 0.0312 memory: 18108 grad_norm: 2.9052 loss: 4.9171 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7435 top1_acc_1: 0.4824 top5_acc_1: 0.6941 loss_cls_1: 2.1737 2023/01/31 19:24:54 - mmengine - INFO - Epoch(train) [39][ 460/1879] lr: 9.9910e-02 eta: 2 days, 10:04:09 time: 0.4924 data_time: 0.0341 memory: 18108 grad_norm: 2.9334 loss: 4.8949 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.8924 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0025 2023/01/31 19:25:04 - mmengine - INFO - Epoch(train) [39][ 480/1879] lr: 9.9909e-02 eta: 2 days, 10:03:57 time: 0.4906 data_time: 0.0317 memory: 18108 grad_norm: 2.8883 loss: 4.9326 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.9538 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9788 2023/01/31 19:25:14 - mmengine - INFO - Epoch(train) [39][ 500/1879] lr: 9.9909e-02 eta: 2 days, 10:03:46 time: 0.5026 data_time: 0.0368 memory: 18108 grad_norm: 2.8520 loss: 4.6471 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6248 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 2.0223 2023/01/31 19:25:24 - mmengine - INFO - Epoch(train) [39][ 520/1879] lr: 9.9908e-02 eta: 2 days, 10:03:34 time: 0.4959 data_time: 0.0370 memory: 18108 grad_norm: 2.9018 loss: 4.7695 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8104 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9591 2023/01/31 19:25:34 - mmengine - INFO - Epoch(train) [39][ 540/1879] lr: 9.9908e-02 eta: 2 days, 10:03:22 time: 0.4961 data_time: 0.0349 memory: 18108 grad_norm: 2.8967 loss: 4.6998 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6377 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 2.0621 2023/01/31 19:25:43 - mmengine - INFO - Epoch(train) [39][ 560/1879] lr: 9.9908e-02 eta: 2 days, 10:03:08 time: 0.4799 data_time: 0.0354 memory: 18108 grad_norm: 2.8644 loss: 4.8981 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8972 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 2.0010 2023/01/31 19:25:53 - mmengine - INFO - Epoch(train) [39][ 580/1879] lr: 9.9907e-02 eta: 2 days, 10:02:57 time: 0.4991 data_time: 0.0369 memory: 18108 grad_norm: 2.8555 loss: 4.7517 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.7421 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 2.0097 2023/01/31 19:26:02 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 19:26:03 - mmengine - INFO - Epoch(train) [39][ 600/1879] lr: 9.9907e-02 eta: 2 days, 10:02:45 time: 0.5002 data_time: 0.0430 memory: 18108 grad_norm: 2.8684 loss: 4.6398 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7145 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9253 2023/01/31 19:26:13 - mmengine - INFO - Epoch(train) [39][ 620/1879] lr: 9.9906e-02 eta: 2 days, 10:02:33 time: 0.4913 data_time: 0.0345 memory: 18108 grad_norm: 2.9842 loss: 4.8353 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8110 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0244 2023/01/31 19:26:23 - mmengine - INFO - Epoch(train) [39][ 640/1879] lr: 9.9906e-02 eta: 2 days, 10:02:19 time: 0.4833 data_time: 0.0341 memory: 18108 grad_norm: 2.8581 loss: 4.9373 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.9217 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 2.0156 2023/01/31 19:26:33 - mmengine - INFO - Epoch(train) [39][ 660/1879] lr: 9.9905e-02 eta: 2 days, 10:02:10 time: 0.5155 data_time: 0.0371 memory: 18108 grad_norm: 2.9722 loss: 5.0393 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.9415 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 2.0978 2023/01/31 19:26:43 - mmengine - INFO - Epoch(train) [39][ 680/1879] lr: 9.9905e-02 eta: 2 days, 10:01:58 time: 0.4995 data_time: 0.0321 memory: 18108 grad_norm: 2.8940 loss: 5.0648 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9552 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 2.1096 2023/01/31 19:26:53 - mmengine - INFO - Epoch(train) [39][ 700/1879] lr: 9.9904e-02 eta: 2 days, 10:01:46 time: 0.4943 data_time: 0.0341 memory: 18108 grad_norm: 2.8663 loss: 4.6360 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6795 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.9564 2023/01/31 19:27:03 - mmengine - INFO - Epoch(train) [39][ 720/1879] lr: 9.9904e-02 eta: 2 days, 10:01:35 time: 0.5001 data_time: 0.0326 memory: 18108 grad_norm: 2.9227 loss: 4.7643 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8067 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9576 2023/01/31 19:27:13 - mmengine - INFO - Epoch(train) [39][ 740/1879] lr: 9.9903e-02 eta: 2 days, 10:01:24 time: 0.5078 data_time: 0.0418 memory: 18108 grad_norm: 2.9048 loss: 4.6703 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6515 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.0188 2023/01/31 19:27:23 - mmengine - INFO - Epoch(train) [39][ 760/1879] lr: 9.9903e-02 eta: 2 days, 10:01:11 time: 0.4870 data_time: 0.0331 memory: 18108 grad_norm: 2.8936 loss: 4.7868 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 2.7390 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 2.0478 2023/01/31 19:27:33 - mmengine - INFO - Epoch(train) [39][ 780/1879] lr: 9.9902e-02 eta: 2 days, 10:00:59 time: 0.4938 data_time: 0.0351 memory: 18108 grad_norm: 2.8478 loss: 4.6626 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6645 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9981 2023/01/31 19:27:43 - mmengine - INFO - Epoch(train) [39][ 800/1879] lr: 9.9902e-02 eta: 2 days, 10:00:48 time: 0.4997 data_time: 0.0335 memory: 18108 grad_norm: 2.9596 loss: 4.9159 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8555 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.0603 2023/01/31 19:27:53 - mmengine - INFO - Epoch(train) [39][ 820/1879] lr: 9.9902e-02 eta: 2 days, 10:00:36 time: 0.5015 data_time: 0.0362 memory: 18108 grad_norm: 2.8885 loss: 4.6955 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.7203 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9752 2023/01/31 19:28:03 - mmengine - INFO - Epoch(train) [39][ 840/1879] lr: 9.9901e-02 eta: 2 days, 10:00:24 time: 0.4913 data_time: 0.0340 memory: 18108 grad_norm: 2.8772 loss: 4.8364 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8228 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 2.0136 2023/01/31 19:28:13 - mmengine - INFO - Epoch(train) [39][ 860/1879] lr: 9.9901e-02 eta: 2 days, 10:00:13 time: 0.5078 data_time: 0.0348 memory: 18108 grad_norm: 2.8863 loss: 4.8900 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.8169 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0731 2023/01/31 19:28:23 - mmengine - INFO - Epoch(train) [39][ 880/1879] lr: 9.9900e-02 eta: 2 days, 10:00:01 time: 0.4941 data_time: 0.0309 memory: 18108 grad_norm: 2.9076 loss: 4.9648 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 2.8729 top1_acc_1: 0.4471 top5_acc_1: 0.7647 loss_cls_1: 2.0919 2023/01/31 19:28:32 - mmengine - INFO - Epoch(train) [39][ 900/1879] lr: 9.9900e-02 eta: 2 days, 9:59:49 time: 0.4927 data_time: 0.0343 memory: 18108 grad_norm: 2.9028 loss: 4.9778 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9720 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.0058 2023/01/31 19:28:42 - mmengine - INFO - Epoch(train) [39][ 920/1879] lr: 9.9899e-02 eta: 2 days, 9:59:37 time: 0.4998 data_time: 0.0305 memory: 18108 grad_norm: 2.8281 loss: 4.8081 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7882 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 2.0200 2023/01/31 19:28:53 - mmengine - INFO - Epoch(train) [39][ 940/1879] lr: 9.9899e-02 eta: 2 days, 9:59:27 time: 0.5080 data_time: 0.0347 memory: 18108 grad_norm: 2.8451 loss: 4.7764 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6843 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 2.0922 2023/01/31 19:29:03 - mmengine - INFO - Epoch(train) [39][ 960/1879] lr: 9.9898e-02 eta: 2 days, 9:59:15 time: 0.4977 data_time: 0.0374 memory: 18108 grad_norm: 2.9399 loss: 4.8921 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8763 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.0158 2023/01/31 19:29:13 - mmengine - INFO - Epoch(train) [39][ 980/1879] lr: 9.9898e-02 eta: 2 days, 9:59:05 time: 0.5132 data_time: 0.0337 memory: 18108 grad_norm: 2.8898 loss: 4.9550 top1_acc_0: 0.0625 top5_acc_0: 0.7500 loss_cls_0: 2.9361 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.0189 2023/01/31 19:29:23 - mmengine - INFO - Epoch(train) [39][1000/1879] lr: 9.9897e-02 eta: 2 days, 9:58:53 time: 0.4966 data_time: 0.0335 memory: 18108 grad_norm: 2.9294 loss: 4.9542 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9092 top1_acc_1: 0.5529 top5_acc_1: 0.6588 loss_cls_1: 2.0450 2023/01/31 19:29:33 - mmengine - INFO - Epoch(train) [39][1020/1879] lr: 9.9897e-02 eta: 2 days, 9:58:43 time: 0.5086 data_time: 0.0343 memory: 18108 grad_norm: 2.8977 loss: 4.5454 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5603 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.9852 2023/01/31 19:29:43 - mmengine - INFO - Epoch(train) [39][1040/1879] lr: 9.9896e-02 eta: 2 days, 9:58:33 time: 0.5132 data_time: 0.0334 memory: 18108 grad_norm: 2.8645 loss: 4.8473 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7562 top1_acc_1: 0.4353 top5_acc_1: 0.7647 loss_cls_1: 2.0911 2023/01/31 19:29:54 - mmengine - INFO - Epoch(train) [39][1060/1879] lr: 9.9896e-02 eta: 2 days, 9:58:23 time: 0.5158 data_time: 0.0349 memory: 18108 grad_norm: 2.9050 loss: 4.8157 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7988 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 2.0168 2023/01/31 19:30:04 - mmengine - INFO - Epoch(train) [39][1080/1879] lr: 9.9895e-02 eta: 2 days, 9:58:13 time: 0.5081 data_time: 0.0326 memory: 18108 grad_norm: 2.8809 loss: 4.9379 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.7834 top1_acc_1: 0.4706 top5_acc_1: 0.6353 loss_cls_1: 2.1544 2023/01/31 19:30:14 - mmengine - INFO - Epoch(train) [39][1100/1879] lr: 9.9895e-02 eta: 2 days, 9:58:03 time: 0.5127 data_time: 0.0336 memory: 18108 grad_norm: 2.9049 loss: 4.7617 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 2.7570 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 2.0047 2023/01/31 19:30:24 - mmengine - INFO - Epoch(train) [39][1120/1879] lr: 9.9894e-02 eta: 2 days, 9:57:51 time: 0.4996 data_time: 0.0402 memory: 18108 grad_norm: 2.8107 loss: 4.9297 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8559 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0737 2023/01/31 19:30:34 - mmengine - INFO - Epoch(train) [39][1140/1879] lr: 9.9894e-02 eta: 2 days, 9:57:40 time: 0.4984 data_time: 0.0344 memory: 18108 grad_norm: 2.9321 loss: 4.9243 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8227 top1_acc_1: 0.5529 top5_acc_1: 0.8706 loss_cls_1: 2.1017 2023/01/31 19:30:44 - mmengine - INFO - Epoch(train) [39][1160/1879] lr: 9.9893e-02 eta: 2 days, 9:57:27 time: 0.4906 data_time: 0.0325 memory: 18108 grad_norm: 2.9050 loss: 5.0548 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 3.0976 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.9571 2023/01/31 19:30:54 - mmengine - INFO - Epoch(train) [39][1180/1879] lr: 9.9893e-02 eta: 2 days, 9:57:17 time: 0.5060 data_time: 0.0340 memory: 18108 grad_norm: 2.8645 loss: 4.8372 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 2.7288 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.1084 2023/01/31 19:31:04 - mmengine - INFO - Epoch(train) [39][1200/1879] lr: 9.9892e-02 eta: 2 days, 9:57:05 time: 0.5024 data_time: 0.0352 memory: 18108 grad_norm: 2.8583 loss: 5.0090 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8916 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.1174 2023/01/31 19:31:14 - mmengine - INFO - Epoch(train) [39][1220/1879] lr: 9.9892e-02 eta: 2 days, 9:56:54 time: 0.4973 data_time: 0.0340 memory: 18108 grad_norm: 2.9172 loss: 4.8626 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7792 top1_acc_1: 0.5059 top5_acc_1: 0.6941 loss_cls_1: 2.0834 2023/01/31 19:31:24 - mmengine - INFO - Epoch(train) [39][1240/1879] lr: 9.9891e-02 eta: 2 days, 9:56:41 time: 0.4894 data_time: 0.0334 memory: 18108 grad_norm: 2.9331 loss: 4.8233 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8105 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 2.0128 2023/01/31 19:31:34 - mmengine - INFO - Epoch(train) [39][1260/1879] lr: 9.9891e-02 eta: 2 days, 9:56:31 time: 0.5126 data_time: 0.0353 memory: 18108 grad_norm: 2.9228 loss: 4.7232 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7513 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.9719 2023/01/31 19:31:44 - mmengine - INFO - Epoch(train) [39][1280/1879] lr: 9.9890e-02 eta: 2 days, 9:56:18 time: 0.4885 data_time: 0.0311 memory: 18108 grad_norm: 2.8752 loss: 4.8134 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7715 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 2.0419 2023/01/31 19:31:54 - mmengine - INFO - Epoch(train) [39][1300/1879] lr: 9.9890e-02 eta: 2 days, 9:56:07 time: 0.4979 data_time: 0.0358 memory: 18108 grad_norm: 2.9283 loss: 4.7134 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7107 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.0027 2023/01/31 19:32:04 - mmengine - INFO - Epoch(train) [39][1320/1879] lr: 9.9889e-02 eta: 2 days, 9:55:55 time: 0.5020 data_time: 0.0352 memory: 18108 grad_norm: 2.8826 loss: 4.7181 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.6693 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0488 2023/01/31 19:32:14 - mmengine - INFO - Epoch(train) [39][1340/1879] lr: 9.9889e-02 eta: 2 days, 9:55:45 time: 0.5052 data_time: 0.0336 memory: 18108 grad_norm: 2.8876 loss: 4.9514 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8389 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.1125 2023/01/31 19:32:24 - mmengine - INFO - Epoch(train) [39][1360/1879] lr: 9.9888e-02 eta: 2 days, 9:55:33 time: 0.4969 data_time: 0.0348 memory: 18108 grad_norm: 2.9117 loss: 4.6882 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.6858 top1_acc_1: 0.5294 top5_acc_1: 0.6941 loss_cls_1: 2.0024 2023/01/31 19:32:34 - mmengine - INFO - Epoch(train) [39][1380/1879] lr: 9.9888e-02 eta: 2 days, 9:55:22 time: 0.5011 data_time: 0.0355 memory: 18108 grad_norm: 2.9805 loss: 4.7513 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.7069 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.0445 2023/01/31 19:32:44 - mmengine - INFO - Epoch(train) [39][1400/1879] lr: 9.9887e-02 eta: 2 days, 9:55:11 time: 0.5076 data_time: 0.0372 memory: 18108 grad_norm: 2.8852 loss: 4.8037 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6968 top1_acc_1: 0.4235 top5_acc_1: 0.7412 loss_cls_1: 2.1069 2023/01/31 19:32:54 - mmengine - INFO - Epoch(train) [39][1420/1879] lr: 9.9887e-02 eta: 2 days, 9:55:01 time: 0.5116 data_time: 0.0420 memory: 18108 grad_norm: 2.8606 loss: 4.9233 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8870 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.0364 2023/01/31 19:33:04 - mmengine - INFO - Epoch(train) [39][1440/1879] lr: 9.9886e-02 eta: 2 days, 9:54:49 time: 0.4967 data_time: 0.0337 memory: 18108 grad_norm: 2.8672 loss: 4.7296 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7070 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 2.0226 2023/01/31 19:33:14 - mmengine - INFO - Epoch(train) [39][1460/1879] lr: 9.9886e-02 eta: 2 days, 9:54:38 time: 0.5017 data_time: 0.0359 memory: 18108 grad_norm: 2.9142 loss: 4.9476 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.8976 top1_acc_1: 0.5176 top5_acc_1: 0.8353 loss_cls_1: 2.0500 2023/01/31 19:33:24 - mmengine - INFO - Epoch(train) [39][1480/1879] lr: 9.9885e-02 eta: 2 days, 9:54:27 time: 0.5045 data_time: 0.0322 memory: 18108 grad_norm: 2.8425 loss: 4.8381 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8163 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.0218 2023/01/31 19:33:34 - mmengine - INFO - Epoch(train) [39][1500/1879] lr: 9.9885e-02 eta: 2 days, 9:54:16 time: 0.5059 data_time: 0.0421 memory: 18108 grad_norm: 2.8731 loss: 4.8171 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7552 top1_acc_1: 0.6118 top5_acc_1: 0.7529 loss_cls_1: 2.0619 2023/01/31 19:33:44 - mmengine - INFO - Epoch(train) [39][1520/1879] lr: 9.9884e-02 eta: 2 days, 9:54:04 time: 0.4961 data_time: 0.0324 memory: 18108 grad_norm: 2.8849 loss: 4.7661 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7840 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.9821 2023/01/31 19:33:54 - mmengine - INFO - Epoch(train) [39][1540/1879] lr: 9.9884e-02 eta: 2 days, 9:53:53 time: 0.5004 data_time: 0.0336 memory: 18108 grad_norm: 2.8698 loss: 4.8338 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7610 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.0728 2023/01/31 19:34:04 - mmengine - INFO - Epoch(train) [39][1560/1879] lr: 9.9883e-02 eta: 2 days, 9:53:42 time: 0.5065 data_time: 0.0416 memory: 18108 grad_norm: 2.9037 loss: 4.7462 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7172 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 2.0290 2023/01/31 19:34:14 - mmengine - INFO - Epoch(train) [39][1580/1879] lr: 9.9883e-02 eta: 2 days, 9:53:31 time: 0.4978 data_time: 0.0337 memory: 18108 grad_norm: 2.8789 loss: 4.8741 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8026 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 2.0715 2023/01/31 19:34:23 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 19:34:24 - mmengine - INFO - Epoch(train) [39][1600/1879] lr: 9.9882e-02 eta: 2 days, 9:53:18 time: 0.4945 data_time: 0.0334 memory: 18108 grad_norm: 2.8583 loss: 4.8610 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7864 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.0746 2023/01/31 19:34:34 - mmengine - INFO - Epoch(train) [39][1620/1879] lr: 9.9882e-02 eta: 2 days, 9:53:08 time: 0.5085 data_time: 0.0338 memory: 18108 grad_norm: 2.8956 loss: 4.5602 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.6221 top1_acc_1: 0.5294 top5_acc_1: 0.8824 loss_cls_1: 1.9381 2023/01/31 19:34:44 - mmengine - INFO - Epoch(train) [39][1640/1879] lr: 9.9881e-02 eta: 2 days, 9:52:56 time: 0.4907 data_time: 0.0394 memory: 18108 grad_norm: 2.9166 loss: 4.9242 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8905 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 2.0338 2023/01/31 19:34:54 - mmengine - INFO - Epoch(train) [39][1660/1879] lr: 9.9881e-02 eta: 2 days, 9:52:45 time: 0.5033 data_time: 0.0353 memory: 18108 grad_norm: 2.8632 loss: 4.8475 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.8055 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0421 2023/01/31 19:35:04 - mmengine - INFO - Epoch(train) [39][1680/1879] lr: 9.9880e-02 eta: 2 days, 9:52:33 time: 0.5015 data_time: 0.0329 memory: 18108 grad_norm: 2.9074 loss: 4.9114 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7660 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 2.1455 2023/01/31 19:35:14 - mmengine - INFO - Epoch(train) [39][1700/1879] lr: 9.9880e-02 eta: 2 days, 9:52:22 time: 0.5010 data_time: 0.0357 memory: 18108 grad_norm: 2.8947 loss: 4.9459 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7599 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 2.1860 2023/01/31 19:35:24 - mmengine - INFO - Epoch(train) [39][1720/1879] lr: 9.9879e-02 eta: 2 days, 9:52:10 time: 0.4950 data_time: 0.0324 memory: 18108 grad_norm: 2.9279 loss: 4.9404 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8306 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.1099 2023/01/31 19:35:34 - mmengine - INFO - Epoch(train) [39][1740/1879] lr: 9.9879e-02 eta: 2 days, 9:51:58 time: 0.4902 data_time: 0.0362 memory: 18108 grad_norm: 2.8431 loss: 5.1245 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 3.0195 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 2.1049 2023/01/31 19:35:44 - mmengine - INFO - Epoch(train) [39][1760/1879] lr: 9.9878e-02 eta: 2 days, 9:51:47 time: 0.5052 data_time: 0.0318 memory: 18108 grad_norm: 2.8683 loss: 4.7354 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.7285 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 2.0069 2023/01/31 19:35:54 - mmengine - INFO - Epoch(train) [39][1780/1879] lr: 9.9878e-02 eta: 2 days, 9:51:35 time: 0.4985 data_time: 0.0347 memory: 18108 grad_norm: 2.8798 loss: 4.8601 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8969 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9632 2023/01/31 19:36:04 - mmengine - INFO - Epoch(train) [39][1800/1879] lr: 9.9877e-02 eta: 2 days, 9:51:24 time: 0.5002 data_time: 0.0386 memory: 18108 grad_norm: 2.9379 loss: 4.7087 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7595 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.9491 2023/01/31 19:36:14 - mmengine - INFO - Epoch(train) [39][1820/1879] lr: 9.9876e-02 eta: 2 days, 9:51:13 time: 0.5107 data_time: 0.0359 memory: 18108 grad_norm: 2.9446 loss: 4.8101 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.7095 top1_acc_1: 0.4353 top5_acc_1: 0.7882 loss_cls_1: 2.1006 2023/01/31 19:36:24 - mmengine - INFO - Epoch(train) [39][1840/1879] lr: 9.9876e-02 eta: 2 days, 9:51:02 time: 0.4985 data_time: 0.0354 memory: 18108 grad_norm: 2.8865 loss: 4.9056 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8593 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 2.0463 2023/01/31 19:36:35 - mmengine - INFO - Epoch(train) [39][1860/1879] lr: 9.9875e-02 eta: 2 days, 9:50:52 time: 0.5115 data_time: 0.0486 memory: 18108 grad_norm: 2.8546 loss: 4.8654 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7635 top1_acc_1: 0.5412 top5_acc_1: 0.7059 loss_cls_1: 2.1020 2023/01/31 19:36:44 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 19:36:44 - mmengine - INFO - Epoch(train) [39][1879/1879] lr: 9.9875e-02 eta: 2 days, 9:50:38 time: 0.4700 data_time: 0.0282 memory: 18108 grad_norm: 3.0269 loss: 4.9056 top1_acc_0: 0.5714 top5_acc_0: 0.7143 loss_cls_0: 2.8633 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 2.0424 2023/01/31 19:36:58 - mmengine - INFO - Epoch(train) [40][ 20/1879] lr: 9.9874e-02 eta: 2 days, 9:50:48 time: 0.6974 data_time: 0.2483 memory: 18108 grad_norm: 2.9331 loss: 4.9384 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9728 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 1.9655 2023/01/31 19:37:08 - mmengine - INFO - Epoch(train) [40][ 40/1879] lr: 9.9874e-02 eta: 2 days, 9:50:34 time: 0.4760 data_time: 0.0329 memory: 18108 grad_norm: 2.8668 loss: 4.7133 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7662 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.9470 2023/01/31 19:37:18 - mmengine - INFO - Epoch(train) [40][ 60/1879] lr: 9.9873e-02 eta: 2 days, 9:50:21 time: 0.4889 data_time: 0.0355 memory: 18108 grad_norm: 2.8786 loss: 4.6301 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6358 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9943 2023/01/31 19:37:28 - mmengine - INFO - Epoch(train) [40][ 80/1879] lr: 9.9873e-02 eta: 2 days, 9:50:11 time: 0.5124 data_time: 0.0348 memory: 18108 grad_norm: 2.9198 loss: 4.6977 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7392 top1_acc_1: 0.4588 top5_acc_1: 0.7647 loss_cls_1: 1.9586 2023/01/31 19:37:37 - mmengine - INFO - Epoch(train) [40][ 100/1879] lr: 9.9872e-02 eta: 2 days, 9:49:58 time: 0.4821 data_time: 0.0347 memory: 18108 grad_norm: 2.8848 loss: 4.6786 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7399 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.9388 2023/01/31 19:37:47 - mmengine - INFO - Epoch(train) [40][ 120/1879] lr: 9.9872e-02 eta: 2 days, 9:49:44 time: 0.4754 data_time: 0.0335 memory: 18108 grad_norm: 2.9029 loss: 4.5473 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6917 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.8556 2023/01/31 19:37:57 - mmengine - INFO - Epoch(train) [40][ 140/1879] lr: 9.9871e-02 eta: 2 days, 9:49:32 time: 0.4993 data_time: 0.0370 memory: 18108 grad_norm: 2.8747 loss: 4.4826 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.5039 top1_acc_1: 0.5647 top5_acc_1: 0.7059 loss_cls_1: 1.9787 2023/01/31 19:38:07 - mmengine - INFO - Epoch(train) [40][ 160/1879] lr: 9.9871e-02 eta: 2 days, 9:49:20 time: 0.4934 data_time: 0.0412 memory: 18108 grad_norm: 2.8841 loss: 4.6627 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7082 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9545 2023/01/31 19:38:17 - mmengine - INFO - Epoch(train) [40][ 180/1879] lr: 9.9870e-02 eta: 2 days, 9:49:07 time: 0.4843 data_time: 0.0367 memory: 18108 grad_norm: 2.8907 loss: 4.8948 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.8955 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.9993 2023/01/31 19:38:26 - mmengine - INFO - Epoch(train) [40][ 200/1879] lr: 9.9870e-02 eta: 2 days, 9:48:54 time: 0.4885 data_time: 0.0313 memory: 18108 grad_norm: 2.8988 loss: 4.9184 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9249 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9935 2023/01/31 19:38:36 - mmengine - INFO - Epoch(train) [40][ 220/1879] lr: 9.9869e-02 eta: 2 days, 9:48:43 time: 0.4987 data_time: 0.0419 memory: 18108 grad_norm: 2.9288 loss: 4.6190 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6648 top1_acc_1: 0.7294 top5_acc_1: 0.8353 loss_cls_1: 1.9542 2023/01/31 19:38:46 - mmengine - INFO - Epoch(train) [40][ 240/1879] lr: 9.9868e-02 eta: 2 days, 9:48:30 time: 0.4859 data_time: 0.0336 memory: 18108 grad_norm: 2.9217 loss: 4.8085 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.7870 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 2.0214 2023/01/31 19:38:56 - mmengine - INFO - Epoch(train) [40][ 260/1879] lr: 9.9868e-02 eta: 2 days, 9:48:19 time: 0.5028 data_time: 0.0343 memory: 18108 grad_norm: 2.9163 loss: 4.3505 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4730 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.8775 2023/01/31 19:39:06 - mmengine - INFO - Epoch(train) [40][ 280/1879] lr: 9.9867e-02 eta: 2 days, 9:48:08 time: 0.5065 data_time: 0.0314 memory: 18108 grad_norm: 2.8609 loss: 4.9325 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.9553 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.9772 2023/01/31 19:39:16 - mmengine - INFO - Epoch(train) [40][ 300/1879] lr: 9.9867e-02 eta: 2 days, 9:47:57 time: 0.5066 data_time: 0.0373 memory: 18108 grad_norm: 2.8884 loss: 4.8638 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.8022 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 2.0616 2023/01/31 19:39:26 - mmengine - INFO - Epoch(train) [40][ 320/1879] lr: 9.9866e-02 eta: 2 days, 9:47:44 time: 0.4843 data_time: 0.0321 memory: 18108 grad_norm: 2.8619 loss: 4.7001 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.6774 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 2.0226 2023/01/31 19:39:36 - mmengine - INFO - Epoch(train) [40][ 340/1879] lr: 9.9866e-02 eta: 2 days, 9:47:35 time: 0.5191 data_time: 0.0387 memory: 18108 grad_norm: 2.9043 loss: 4.7992 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7198 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.0793 2023/01/31 19:39:46 - mmengine - INFO - Epoch(train) [40][ 360/1879] lr: 9.9865e-02 eta: 2 days, 9:47:23 time: 0.4897 data_time: 0.0363 memory: 18108 grad_norm: 2.9053 loss: 4.8325 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.8856 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9469 2023/01/31 19:39:56 - mmengine - INFO - Epoch(train) [40][ 380/1879] lr: 9.9865e-02 eta: 2 days, 9:47:12 time: 0.5107 data_time: 0.0372 memory: 18108 grad_norm: 2.8752 loss: 4.6824 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7632 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.9193 2023/01/31 19:40:06 - mmengine - INFO - Epoch(train) [40][ 400/1879] lr: 9.9864e-02 eta: 2 days, 9:47:01 time: 0.4998 data_time: 0.0329 memory: 18108 grad_norm: 2.9423 loss: 4.8916 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8318 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 2.0598 2023/01/31 19:40:17 - mmengine - INFO - Epoch(train) [40][ 420/1879] lr: 9.9863e-02 eta: 2 days, 9:46:51 time: 0.5124 data_time: 0.0368 memory: 18108 grad_norm: 2.8745 loss: 4.8968 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9191 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.9777 2023/01/31 19:40:26 - mmengine - INFO - Epoch(train) [40][ 440/1879] lr: 9.9863e-02 eta: 2 days, 9:46:38 time: 0.4868 data_time: 0.0339 memory: 18108 grad_norm: 2.8657 loss: 4.7728 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7630 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.0098 2023/01/31 19:40:36 - mmengine - INFO - Epoch(train) [40][ 460/1879] lr: 9.9862e-02 eta: 2 days, 9:46:27 time: 0.5014 data_time: 0.0369 memory: 18108 grad_norm: 2.9052 loss: 4.9800 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9855 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.9945 2023/01/31 19:40:47 - mmengine - INFO - Epoch(train) [40][ 480/1879] lr: 9.9862e-02 eta: 2 days, 9:46:16 time: 0.5027 data_time: 0.0312 memory: 18108 grad_norm: 2.8699 loss: 4.7214 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7486 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.9728 2023/01/31 19:40:57 - mmengine - INFO - Epoch(train) [40][ 500/1879] lr: 9.9861e-02 eta: 2 days, 9:46:04 time: 0.5005 data_time: 0.0442 memory: 18108 grad_norm: 2.8772 loss: 4.6966 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7915 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.9050 2023/01/31 19:41:07 - mmengine - INFO - Epoch(train) [40][ 520/1879] lr: 9.9861e-02 eta: 2 days, 9:45:53 time: 0.5009 data_time: 0.0312 memory: 18108 grad_norm: 2.9170 loss: 4.7075 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6716 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 2.0358 2023/01/31 19:41:17 - mmengine - INFO - Epoch(train) [40][ 540/1879] lr: 9.9860e-02 eta: 2 days, 9:45:42 time: 0.5023 data_time: 0.0354 memory: 18108 grad_norm: 2.8573 loss: 4.8253 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8192 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 2.0061 2023/01/31 19:41:27 - mmengine - INFO - Epoch(train) [40][ 560/1879] lr: 9.9860e-02 eta: 2 days, 9:45:30 time: 0.4982 data_time: 0.0389 memory: 18108 grad_norm: 2.9384 loss: 4.7331 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6847 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0485 2023/01/31 19:41:37 - mmengine - INFO - Epoch(train) [40][ 580/1879] lr: 9.9859e-02 eta: 2 days, 9:45:19 time: 0.4991 data_time: 0.0397 memory: 18108 grad_norm: 2.8207 loss: 4.6574 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6329 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.0245 2023/01/31 19:41:46 - mmengine - INFO - Epoch(train) [40][ 600/1879] lr: 9.9858e-02 eta: 2 days, 9:45:06 time: 0.4844 data_time: 0.0308 memory: 18108 grad_norm: 2.8930 loss: 4.9039 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8350 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0689 2023/01/31 19:41:56 - mmengine - INFO - Epoch(train) [40][ 620/1879] lr: 9.9858e-02 eta: 2 days, 9:44:55 time: 0.5069 data_time: 0.0417 memory: 18108 grad_norm: 2.8770 loss: 4.4226 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.3501 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0725 2023/01/31 19:42:06 - mmengine - INFO - Epoch(train) [40][ 640/1879] lr: 9.9857e-02 eta: 2 days, 9:44:42 time: 0.4879 data_time: 0.0320 memory: 18108 grad_norm: 2.9113 loss: 5.0296 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.9379 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0917 2023/01/31 19:42:16 - mmengine - INFO - Epoch(train) [40][ 660/1879] lr: 9.9857e-02 eta: 2 days, 9:44:32 time: 0.5077 data_time: 0.0365 memory: 18108 grad_norm: 2.8942 loss: 4.7600 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.6988 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 2.0612 2023/01/31 19:42:26 - mmengine - INFO - Epoch(train) [40][ 680/1879] lr: 9.9856e-02 eta: 2 days, 9:44:19 time: 0.4888 data_time: 0.0293 memory: 18108 grad_norm: 2.9148 loss: 5.1656 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 3.1201 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.0455 2023/01/31 19:42:36 - mmengine - INFO - Epoch(train) [40][ 700/1879] lr: 9.9856e-02 eta: 2 days, 9:44:09 time: 0.5109 data_time: 0.0439 memory: 18108 grad_norm: 2.8998 loss: 4.7986 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.7715 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.0271 2023/01/31 19:42:46 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 19:42:47 - mmengine - INFO - Epoch(train) [40][ 720/1879] lr: 9.9855e-02 eta: 2 days, 9:43:59 time: 0.5124 data_time: 0.0316 memory: 18108 grad_norm: 2.8514 loss: 4.6334 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7048 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9286 2023/01/31 19:42:57 - mmengine - INFO - Epoch(train) [40][ 740/1879] lr: 9.9854e-02 eta: 2 days, 9:43:49 time: 0.5167 data_time: 0.0354 memory: 18108 grad_norm: 2.9363 loss: 4.6064 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5427 top1_acc_1: 0.5294 top5_acc_1: 0.6941 loss_cls_1: 2.0637 2023/01/31 19:43:07 - mmengine - INFO - Epoch(train) [40][ 760/1879] lr: 9.9854e-02 eta: 2 days, 9:43:40 time: 0.5195 data_time: 0.0368 memory: 18108 grad_norm: 2.9687 loss: 4.7741 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.8087 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9653 2023/01/31 19:43:18 - mmengine - INFO - Epoch(train) [40][ 780/1879] lr: 9.9853e-02 eta: 2 days, 9:43:31 time: 0.5173 data_time: 0.0349 memory: 18108 grad_norm: 2.9139 loss: 4.8845 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8001 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 2.0844 2023/01/31 19:43:28 - mmengine - INFO - Epoch(train) [40][ 800/1879] lr: 9.9853e-02 eta: 2 days, 9:43:21 time: 0.5166 data_time: 0.0284 memory: 18108 grad_norm: 2.8827 loss: 4.8146 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8190 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9956 2023/01/31 19:43:39 - mmengine - INFO - Epoch(train) [40][ 820/1879] lr: 9.9852e-02 eta: 2 days, 9:43:13 time: 0.5302 data_time: 0.0421 memory: 18108 grad_norm: 2.8469 loss: 4.8611 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7315 top1_acc_1: 0.5294 top5_acc_1: 0.6824 loss_cls_1: 2.1296 2023/01/31 19:43:49 - mmengine - INFO - Epoch(train) [40][ 840/1879] lr: 9.9852e-02 eta: 2 days, 9:43:03 time: 0.5098 data_time: 0.0290 memory: 18108 grad_norm: 2.9027 loss: 4.8762 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.7523 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.1240 2023/01/31 19:43:59 - mmengine - INFO - Epoch(train) [40][ 860/1879] lr: 9.9851e-02 eta: 2 days, 9:42:54 time: 0.5221 data_time: 0.0344 memory: 18108 grad_norm: 2.9280 loss: 4.6971 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5810 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 2.1161 2023/01/31 19:44:10 - mmengine - INFO - Epoch(train) [40][ 880/1879] lr: 9.9850e-02 eta: 2 days, 9:42:46 time: 0.5311 data_time: 0.0348 memory: 18108 grad_norm: 2.9100 loss: 4.9637 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.9206 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 2.0431 2023/01/31 19:44:20 - mmengine - INFO - Epoch(train) [40][ 900/1879] lr: 9.9850e-02 eta: 2 days, 9:42:37 time: 0.5223 data_time: 0.0418 memory: 18108 grad_norm: 2.8546 loss: 4.7185 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7279 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9906 2023/01/31 19:44:51 - mmengine - INFO - Epoch(train) [40][ 920/1879] lr: 9.9849e-02 eta: 2 days, 9:44:18 time: 1.5272 data_time: 0.0347 memory: 18108 grad_norm: 2.8837 loss: 4.6287 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7161 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.9125 2023/01/31 19:45:02 - mmengine - INFO - Epoch(train) [40][ 940/1879] lr: 9.9849e-02 eta: 2 days, 9:44:11 time: 0.5348 data_time: 0.0316 memory: 18108 grad_norm: 2.9145 loss: 4.7201 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7006 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.0195 2023/01/31 19:45:12 - mmengine - INFO - Epoch(train) [40][ 960/1879] lr: 9.9848e-02 eta: 2 days, 9:44:02 time: 0.5265 data_time: 0.0374 memory: 18108 grad_norm: 2.8795 loss: 4.8920 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.8677 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0243 2023/01/31 19:45:23 - mmengine - INFO - Epoch(train) [40][ 980/1879] lr: 9.9847e-02 eta: 2 days, 9:43:53 time: 0.5173 data_time: 0.0317 memory: 18108 grad_norm: 2.9125 loss: 4.8495 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8153 top1_acc_1: 0.4588 top5_acc_1: 0.6353 loss_cls_1: 2.0342 2023/01/31 19:45:33 - mmengine - INFO - Epoch(train) [40][1000/1879] lr: 9.9847e-02 eta: 2 days, 9:43:45 time: 0.5355 data_time: 0.0342 memory: 18108 grad_norm: 2.8996 loss: 4.7809 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7967 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.9842 2023/01/31 19:45:44 - mmengine - INFO - Epoch(train) [40][1020/1879] lr: 9.9846e-02 eta: 2 days, 9:43:38 time: 0.5358 data_time: 0.0374 memory: 18108 grad_norm: 2.9082 loss: 4.7521 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7493 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.0029 2023/01/31 19:45:54 - mmengine - INFO - Epoch(train) [40][1040/1879] lr: 9.9846e-02 eta: 2 days, 9:43:28 time: 0.5147 data_time: 0.0346 memory: 18108 grad_norm: 2.8867 loss: 4.9196 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8251 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 2.0945 2023/01/31 19:46:05 - mmengine - INFO - Epoch(train) [40][1060/1879] lr: 9.9845e-02 eta: 2 days, 9:43:19 time: 0.5218 data_time: 0.0306 memory: 18108 grad_norm: 2.8878 loss: 4.8167 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7699 top1_acc_1: 0.4471 top5_acc_1: 0.7647 loss_cls_1: 2.0468 2023/01/31 19:46:15 - mmengine - INFO - Epoch(train) [40][1080/1879] lr: 9.9845e-02 eta: 2 days, 9:43:11 time: 0.5383 data_time: 0.0350 memory: 18108 grad_norm: 2.8202 loss: 4.8917 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8917 top1_acc_1: 0.4588 top5_acc_1: 0.7059 loss_cls_1: 2.0001 2023/01/31 19:46:26 - mmengine - INFO - Epoch(train) [40][1100/1879] lr: 9.9844e-02 eta: 2 days, 9:43:03 time: 0.5257 data_time: 0.0319 memory: 18108 grad_norm: 2.8594 loss: 4.8710 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8107 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.0603 2023/01/31 19:46:36 - mmengine - INFO - Epoch(train) [40][1120/1879] lr: 9.9843e-02 eta: 2 days, 9:42:53 time: 0.5161 data_time: 0.0328 memory: 18108 grad_norm: 2.8710 loss: 4.9785 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.9608 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 2.0177 2023/01/31 19:46:47 - mmengine - INFO - Epoch(train) [40][1140/1879] lr: 9.9843e-02 eta: 2 days, 9:42:45 time: 0.5307 data_time: 0.0310 memory: 18108 grad_norm: 2.8362 loss: 4.8662 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.8412 top1_acc_1: 0.5647 top5_acc_1: 0.7176 loss_cls_1: 2.0250 2023/01/31 19:46:57 - mmengine - INFO - Epoch(train) [40][1160/1879] lr: 9.9842e-02 eta: 2 days, 9:42:36 time: 0.5207 data_time: 0.0379 memory: 18108 grad_norm: 2.8780 loss: 4.8685 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8298 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 2.0387 2023/01/31 19:47:08 - mmengine - INFO - Epoch(train) [40][1180/1879] lr: 9.9842e-02 eta: 2 days, 9:42:26 time: 0.5166 data_time: 0.0320 memory: 18108 grad_norm: 2.8522 loss: 4.7943 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8347 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.9597 2023/01/31 19:47:18 - mmengine - INFO - Epoch(train) [40][1200/1879] lr: 9.9841e-02 eta: 2 days, 9:42:17 time: 0.5182 data_time: 0.0330 memory: 18108 grad_norm: 2.9084 loss: 4.7570 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7826 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.9744 2023/01/31 19:47:29 - mmengine - INFO - Epoch(train) [40][1220/1879] lr: 9.9840e-02 eta: 2 days, 9:42:10 time: 0.5404 data_time: 0.0397 memory: 18108 grad_norm: 2.8680 loss: 4.5390 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5733 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.9657 2023/01/31 19:47:39 - mmengine - INFO - Epoch(train) [40][1240/1879] lr: 9.9840e-02 eta: 2 days, 9:42:00 time: 0.5179 data_time: 0.0344 memory: 18108 grad_norm: 2.9104 loss: 4.5781 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5687 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 2.0094 2023/01/31 19:47:50 - mmengine - INFO - Epoch(train) [40][1260/1879] lr: 9.9839e-02 eta: 2 days, 9:41:51 time: 0.5192 data_time: 0.0341 memory: 18108 grad_norm: 2.8718 loss: 4.8363 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7944 top1_acc_1: 0.4588 top5_acc_1: 0.7294 loss_cls_1: 2.0419 2023/01/31 19:48:00 - mmengine - INFO - Epoch(train) [40][1280/1879] lr: 9.9839e-02 eta: 2 days, 9:41:43 time: 0.5265 data_time: 0.0309 memory: 18108 grad_norm: 2.9167 loss: 4.8314 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6925 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.1390 2023/01/31 19:48:11 - mmengine - INFO - Epoch(train) [40][1300/1879] lr: 9.9838e-02 eta: 2 days, 9:41:34 time: 0.5281 data_time: 0.0425 memory: 18108 grad_norm: 2.8868 loss: 5.0477 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.9320 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.1158 2023/01/31 19:48:21 - mmengine - INFO - Epoch(train) [40][1320/1879] lr: 9.9837e-02 eta: 2 days, 9:41:25 time: 0.5186 data_time: 0.0309 memory: 18108 grad_norm: 2.8716 loss: 4.6761 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7043 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9718 2023/01/31 19:48:32 - mmengine - INFO - Epoch(train) [40][1340/1879] lr: 9.9837e-02 eta: 2 days, 9:41:16 time: 0.5253 data_time: 0.0333 memory: 18108 grad_norm: 2.9076 loss: 4.4911 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.5314 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.9596 2023/01/31 19:48:49 - mmengine - INFO - Epoch(train) [40][1360/1879] lr: 9.9836e-02 eta: 2 days, 9:41:46 time: 0.8800 data_time: 0.3975 memory: 18108 grad_norm: 2.8731 loss: 4.7164 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.7212 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 1.9952 2023/01/31 19:48:59 - mmengine - INFO - Epoch(train) [40][1380/1879] lr: 9.9835e-02 eta: 2 days, 9:41:36 time: 0.5105 data_time: 0.0325 memory: 18108 grad_norm: 2.8635 loss: 4.8969 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8836 top1_acc_1: 0.5412 top5_acc_1: 0.6941 loss_cls_1: 2.0133 2023/01/31 19:49:10 - mmengine - INFO - Epoch(train) [40][1400/1879] lr: 9.9835e-02 eta: 2 days, 9:41:26 time: 0.5180 data_time: 0.0334 memory: 18108 grad_norm: 2.9140 loss: 4.7696 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.8304 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.9392 2023/01/31 19:49:20 - mmengine - INFO - Epoch(train) [40][1420/1879] lr: 9.9834e-02 eta: 2 days, 9:41:18 time: 0.5306 data_time: 0.0349 memory: 18108 grad_norm: 2.8715 loss: 4.7309 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6705 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.0604 2023/01/31 19:49:31 - mmengine - INFO - Epoch(train) [40][1440/1879] lr: 9.9834e-02 eta: 2 days, 9:41:08 time: 0.5128 data_time: 0.0393 memory: 18108 grad_norm: 2.9052 loss: 4.6492 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6175 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.0317 2023/01/31 19:49:41 - mmengine - INFO - Epoch(train) [40][1460/1879] lr: 9.9833e-02 eta: 2 days, 9:40:59 time: 0.5164 data_time: 0.0349 memory: 18108 grad_norm: 2.8885 loss: 4.8965 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.8474 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.0491 2023/01/31 19:49:52 - mmengine - INFO - Epoch(train) [40][1480/1879] lr: 9.9832e-02 eta: 2 days, 9:40:50 time: 0.5247 data_time: 0.0333 memory: 18108 grad_norm: 2.8985 loss: 4.6731 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5907 top1_acc_1: 0.4824 top5_acc_1: 0.6824 loss_cls_1: 2.0825 2023/01/31 19:50:02 - mmengine - INFO - Epoch(train) [40][1500/1879] lr: 9.9832e-02 eta: 2 days, 9:40:41 time: 0.5274 data_time: 0.0390 memory: 18108 grad_norm: 2.8690 loss: 4.5904 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5824 top1_acc_1: 0.5765 top5_acc_1: 0.7176 loss_cls_1: 2.0080 2023/01/31 19:50:12 - mmengine - INFO - Epoch(train) [40][1520/1879] lr: 9.9831e-02 eta: 2 days, 9:40:32 time: 0.5150 data_time: 0.0309 memory: 18108 grad_norm: 2.8762 loss: 4.8441 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8497 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.9944 2023/01/31 19:50:23 - mmengine - INFO - Epoch(train) [40][1540/1879] lr: 9.9831e-02 eta: 2 days, 9:40:22 time: 0.5160 data_time: 0.0340 memory: 18108 grad_norm: 2.8920 loss: 4.8586 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8805 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9780 2023/01/31 19:50:33 - mmengine - INFO - Epoch(train) [40][1560/1879] lr: 9.9830e-02 eta: 2 days, 9:40:13 time: 0.5196 data_time: 0.0324 memory: 18108 grad_norm: 2.8933 loss: 4.7966 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.7417 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 2.0549 2023/01/31 19:50:43 - mmengine - INFO - Epoch(train) [40][1580/1879] lr: 9.9829e-02 eta: 2 days, 9:40:01 time: 0.5007 data_time: 0.0380 memory: 18108 grad_norm: 2.9169 loss: 4.8146 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8208 top1_acc_1: 0.5412 top5_acc_1: 0.6941 loss_cls_1: 1.9938 2023/01/31 19:50:53 - mmengine - INFO - Epoch(train) [40][1600/1879] lr: 9.9829e-02 eta: 2 days, 9:39:50 time: 0.5017 data_time: 0.0296 memory: 18108 grad_norm: 2.8640 loss: 4.7755 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7489 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 2.0266 2023/01/31 19:51:03 - mmengine - INFO - Epoch(train) [40][1620/1879] lr: 9.9828e-02 eta: 2 days, 9:39:40 time: 0.5146 data_time: 0.0357 memory: 18108 grad_norm: 2.8942 loss: 4.5668 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5523 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 2.0145 2023/01/31 19:51:14 - mmengine - INFO - Epoch(train) [40][1640/1879] lr: 9.9827e-02 eta: 2 days, 9:39:30 time: 0.5129 data_time: 0.0394 memory: 18108 grad_norm: 2.8744 loss: 4.7179 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6669 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.0510 2023/01/31 19:51:24 - mmengine - INFO - Epoch(train) [40][1660/1879] lr: 9.9827e-02 eta: 2 days, 9:39:19 time: 0.4983 data_time: 0.0362 memory: 18108 grad_norm: 2.8590 loss: 4.6846 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6747 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 2.0098 2023/01/31 19:51:34 - mmengine - INFO - Epoch(train) [40][1680/1879] lr: 9.9826e-02 eta: 2 days, 9:39:09 time: 0.5166 data_time: 0.0289 memory: 18108 grad_norm: 2.9257 loss: 4.6627 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6874 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9753 2023/01/31 19:51:45 - mmengine - INFO - Epoch(train) [40][1700/1879] lr: 9.9826e-02 eta: 2 days, 9:39:01 time: 0.5365 data_time: 0.0482 memory: 18108 grad_norm: 2.9450 loss: 4.8938 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9535 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.9403 2023/01/31 19:51:54 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 19:51:55 - mmengine - INFO - Epoch(train) [40][1720/1879] lr: 9.9825e-02 eta: 2 days, 9:38:49 time: 0.4911 data_time: 0.0294 memory: 18108 grad_norm: 2.9657 loss: 5.0786 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.9964 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.0821 2023/01/31 19:52:05 - mmengine - INFO - Epoch(train) [40][1740/1879] lr: 9.9824e-02 eta: 2 days, 9:38:39 time: 0.5159 data_time: 0.0370 memory: 18108 grad_norm: 2.9105 loss: 4.9156 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.8321 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0835 2023/01/31 19:52:16 - mmengine - INFO - Epoch(train) [40][1760/1879] lr: 9.9824e-02 eta: 2 days, 9:38:31 time: 0.5319 data_time: 0.0285 memory: 18108 grad_norm: 2.8506 loss: 4.9659 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.8838 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 2.0820 2023/01/31 19:52:26 - mmengine - INFO - Epoch(train) [40][1780/1879] lr: 9.9823e-02 eta: 2 days, 9:38:22 time: 0.5224 data_time: 0.0400 memory: 18108 grad_norm: 2.8807 loss: 4.9188 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.9994 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9194 2023/01/31 19:52:36 - mmengine - INFO - Epoch(train) [40][1800/1879] lr: 9.9822e-02 eta: 2 days, 9:38:12 time: 0.5108 data_time: 0.0317 memory: 18108 grad_norm: 2.8911 loss: 4.9078 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.8072 top1_acc_1: 0.4235 top5_acc_1: 0.6941 loss_cls_1: 2.1007 2023/01/31 19:52:47 - mmengine - INFO - Epoch(train) [40][1820/1879] lr: 9.9822e-02 eta: 2 days, 9:38:03 time: 0.5220 data_time: 0.0347 memory: 18108 grad_norm: 2.9048 loss: 4.9164 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7789 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.1375 2023/01/31 19:52:57 - mmengine - INFO - Epoch(train) [40][1840/1879] lr: 9.9821e-02 eta: 2 days, 9:37:54 time: 0.5199 data_time: 0.0288 memory: 18108 grad_norm: 2.9023 loss: 4.7178 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6706 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.0473 2023/01/31 19:53:07 - mmengine - INFO - Epoch(train) [40][1860/1879] lr: 9.9821e-02 eta: 2 days, 9:37:43 time: 0.5109 data_time: 0.0428 memory: 18108 grad_norm: 2.8564 loss: 4.8074 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8016 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 2.0058 2023/01/31 19:53:16 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 19:53:16 - mmengine - INFO - Epoch(train) [40][1879/1879] lr: 9.9820e-02 eta: 2 days, 9:37:31 time: 0.4828 data_time: 0.0286 memory: 18108 grad_norm: 2.9462 loss: 4.7769 top1_acc_0: 0.1429 top5_acc_0: 0.2857 loss_cls_0: 2.7971 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9798 2023/01/31 19:53:17 - mmengine - INFO - Saving checkpoint at 40 epochs 2023/01/31 19:53:28 - mmengine - INFO - Epoch(val) [40][ 20/155] eta: 0:01:01 time: 0.4574 data_time: 0.3442 memory: 1906 2023/01/31 19:53:37 - mmengine - INFO - Epoch(val) [40][ 40/155] eta: 0:00:52 time: 0.4518 data_time: 0.3400 memory: 1906 2023/01/31 19:53:45 - mmengine - INFO - Epoch(val) [40][ 60/155] eta: 0:00:42 time: 0.4242 data_time: 0.3126 memory: 1906 2023/01/31 19:53:54 - mmengine - INFO - Epoch(val) [40][ 80/155] eta: 0:00:33 time: 0.4608 data_time: 0.3479 memory: 1906 2023/01/31 19:54:04 - mmengine - INFO - Epoch(val) [40][100/155] eta: 0:00:24 time: 0.4564 data_time: 0.3449 memory: 1906 2023/01/31 19:54:13 - mmengine - INFO - Epoch(val) [40][120/155] eta: 0:00:15 time: 0.4624 data_time: 0.3525 memory: 1906 2023/01/31 19:54:22 - mmengine - INFO - Epoch(val) [40][140/155] eta: 0:00:06 time: 0.4401 data_time: 0.3288 memory: 1906 2023/01/31 19:54:29 - mmengine - INFO - Epoch(val) [40][155/155] acc/top1: 0.4264 acc/top5: 0.6891 acc/mean1: 0.4263 2023/01/31 19:54:44 - mmengine - INFO - Epoch(train) [41][ 20/1879] lr: 9.9819e-02 eta: 2 days, 9:37:43 time: 0.7165 data_time: 0.2592 memory: 18108 grad_norm: 2.8515 loss: 4.7320 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7826 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9493 2023/01/31 19:54:53 - mmengine - INFO - Epoch(train) [41][ 40/1879] lr: 9.9819e-02 eta: 2 days, 9:37:28 time: 0.4689 data_time: 0.0340 memory: 18108 grad_norm: 2.9455 loss: 4.6763 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7203 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.9560 2023/01/31 19:55:03 - mmengine - INFO - Epoch(train) [41][ 60/1879] lr: 9.9818e-02 eta: 2 days, 9:37:15 time: 0.4886 data_time: 0.0374 memory: 18108 grad_norm: 2.9275 loss: 4.5024 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5164 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.9861 2023/01/31 19:55:13 - mmengine - INFO - Epoch(train) [41][ 80/1879] lr: 9.9817e-02 eta: 2 days, 9:37:03 time: 0.4955 data_time: 0.0431 memory: 18108 grad_norm: 2.8283 loss: 4.5874 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6718 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9156 2023/01/31 19:55:23 - mmengine - INFO - Epoch(train) [41][ 100/1879] lr: 9.9817e-02 eta: 2 days, 9:36:50 time: 0.4824 data_time: 0.0368 memory: 18108 grad_norm: 2.8620 loss: 4.6107 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6009 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0098 2023/01/31 19:55:32 - mmengine - INFO - Epoch(train) [41][ 120/1879] lr: 9.9816e-02 eta: 2 days, 9:36:35 time: 0.4692 data_time: 0.0335 memory: 18108 grad_norm: 2.9044 loss: 4.6197 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7052 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.9145 2023/01/31 19:55:42 - mmengine - INFO - Epoch(train) [41][ 140/1879] lr: 9.9815e-02 eta: 2 days, 9:36:27 time: 0.5294 data_time: 0.0399 memory: 18108 grad_norm: 2.8608 loss: 4.7101 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8376 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 1.8725 2023/01/31 19:55:52 - mmengine - INFO - Epoch(train) [41][ 160/1879] lr: 9.9815e-02 eta: 2 days, 9:36:13 time: 0.4767 data_time: 0.0319 memory: 18108 grad_norm: 2.8922 loss: 4.4604 top1_acc_0: 0.3750 top5_acc_0: 0.3750 loss_cls_0: 2.5003 top1_acc_1: 0.6000 top5_acc_1: 0.8941 loss_cls_1: 1.9601 2023/01/31 19:56:02 - mmengine - INFO - Epoch(train) [41][ 180/1879] lr: 9.9814e-02 eta: 2 days, 9:36:00 time: 0.4822 data_time: 0.0371 memory: 18108 grad_norm: 2.8842 loss: 4.6458 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6266 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 2.0192 2023/01/31 19:56:11 - mmengine - INFO - Epoch(train) [41][ 200/1879] lr: 9.9813e-02 eta: 2 days, 9:35:46 time: 0.4836 data_time: 0.0352 memory: 18108 grad_norm: 2.9806 loss: 5.2415 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 3.2159 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0256 2023/01/31 19:56:21 - mmengine - INFO - Epoch(train) [41][ 220/1879] lr: 9.9813e-02 eta: 2 days, 9:35:34 time: 0.4954 data_time: 0.0357 memory: 18108 grad_norm: 2.9351 loss: 4.5512 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5964 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.9548 2023/01/31 19:56:31 - mmengine - INFO - Epoch(train) [41][ 240/1879] lr: 9.9812e-02 eta: 2 days, 9:35:20 time: 0.4709 data_time: 0.0339 memory: 18108 grad_norm: 2.9030 loss: 4.5900 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6179 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.9721 2023/01/31 19:56:40 - mmengine - INFO - Epoch(train) [41][ 260/1879] lr: 9.9812e-02 eta: 2 days, 9:35:06 time: 0.4754 data_time: 0.0347 memory: 18108 grad_norm: 2.8718 loss: 4.7326 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6722 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 2.0604 2023/01/31 19:56:50 - mmengine - INFO - Epoch(train) [41][ 280/1879] lr: 9.9811e-02 eta: 2 days, 9:34:53 time: 0.4869 data_time: 0.0348 memory: 18108 grad_norm: 2.9301 loss: 4.9395 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.9130 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0266 2023/01/31 19:57:00 - mmengine - INFO - Epoch(train) [41][ 300/1879] lr: 9.9810e-02 eta: 2 days, 9:34:39 time: 0.4801 data_time: 0.0346 memory: 18108 grad_norm: 2.8873 loss: 4.8650 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.9536 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.9113 2023/01/31 19:57:09 - mmengine - INFO - Epoch(train) [41][ 320/1879] lr: 9.9810e-02 eta: 2 days, 9:34:26 time: 0.4812 data_time: 0.0366 memory: 18108 grad_norm: 2.8941 loss: 4.7968 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8729 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.9239 2023/01/31 19:57:19 - mmengine - INFO - Epoch(train) [41][ 340/1879] lr: 9.9809e-02 eta: 2 days, 9:34:14 time: 0.4943 data_time: 0.0350 memory: 18108 grad_norm: 2.9468 loss: 4.8320 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7841 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 2.0479 2023/01/31 19:57:29 - mmengine - INFO - Epoch(train) [41][ 360/1879] lr: 9.9808e-02 eta: 2 days, 9:34:02 time: 0.4932 data_time: 0.0560 memory: 18108 grad_norm: 2.8866 loss: 4.5261 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6244 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.9017 2023/01/31 19:57:39 - mmengine - INFO - Epoch(train) [41][ 380/1879] lr: 9.9808e-02 eta: 2 days, 9:33:49 time: 0.4837 data_time: 0.0351 memory: 18108 grad_norm: 2.8694 loss: 4.6707 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6487 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 2.0219 2023/01/31 19:57:48 - mmengine - INFO - Epoch(train) [41][ 400/1879] lr: 9.9807e-02 eta: 2 days, 9:33:36 time: 0.4871 data_time: 0.0346 memory: 18108 grad_norm: 2.8856 loss: 5.0425 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.9634 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 2.0791 2023/01/31 19:57:58 - mmengine - INFO - Epoch(train) [41][ 420/1879] lr: 9.9806e-02 eta: 2 days, 9:33:25 time: 0.5002 data_time: 0.0336 memory: 18108 grad_norm: 2.8851 loss: 4.6972 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6829 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 2.0143 2023/01/31 19:58:08 - mmengine - INFO - Epoch(train) [41][ 440/1879] lr: 9.9806e-02 eta: 2 days, 9:33:11 time: 0.4794 data_time: 0.0401 memory: 18108 grad_norm: 2.9692 loss: 4.6735 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.7434 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.9301 2023/01/31 19:58:18 - mmengine - INFO - Epoch(train) [41][ 460/1879] lr: 9.9805e-02 eta: 2 days, 9:32:59 time: 0.4944 data_time: 0.0346 memory: 18108 grad_norm: 2.9048 loss: 4.7171 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7425 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9745 2023/01/31 19:58:27 - mmengine - INFO - Epoch(train) [41][ 480/1879] lr: 9.9804e-02 eta: 2 days, 9:32:45 time: 0.4795 data_time: 0.0348 memory: 18108 grad_norm: 2.8895 loss: 4.7845 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.8404 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.9441 2023/01/31 19:58:37 - mmengine - INFO - Epoch(train) [41][ 500/1879] lr: 9.9804e-02 eta: 2 days, 9:32:32 time: 0.4822 data_time: 0.0346 memory: 18108 grad_norm: 2.9203 loss: 4.7578 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.7614 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.9964 2023/01/31 19:58:47 - mmengine - INFO - Epoch(train) [41][ 520/1879] lr: 9.9803e-02 eta: 2 days, 9:32:19 time: 0.4813 data_time: 0.0360 memory: 18108 grad_norm: 2.9519 loss: 4.6120 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6920 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.9199 2023/01/31 19:58:57 - mmengine - INFO - Epoch(train) [41][ 540/1879] lr: 9.9802e-02 eta: 2 days, 9:32:07 time: 0.4939 data_time: 0.0349 memory: 18108 grad_norm: 2.8950 loss: 4.6723 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6606 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.0118 2023/01/31 19:59:06 - mmengine - INFO - Epoch(train) [41][ 560/1879] lr: 9.9802e-02 eta: 2 days, 9:31:54 time: 0.4919 data_time: 0.0338 memory: 18108 grad_norm: 2.8527 loss: 4.8854 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8348 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 2.0506 2023/01/31 19:59:16 - mmengine - INFO - Epoch(train) [41][ 580/1879] lr: 9.9801e-02 eta: 2 days, 9:31:41 time: 0.4806 data_time: 0.0401 memory: 18108 grad_norm: 2.8913 loss: 4.8759 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.8390 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.0369 2023/01/31 19:59:26 - mmengine - INFO - Epoch(train) [41][ 600/1879] lr: 9.9800e-02 eta: 2 days, 9:31:28 time: 0.4824 data_time: 0.0341 memory: 18108 grad_norm: 2.8923 loss: 4.8413 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8067 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.0346 2023/01/31 19:59:35 - mmengine - INFO - Epoch(train) [41][ 620/1879] lr: 9.9800e-02 eta: 2 days, 9:31:15 time: 0.4850 data_time: 0.0343 memory: 18108 grad_norm: 2.8617 loss: 4.8497 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8792 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.9704 2023/01/31 19:59:45 - mmengine - INFO - Epoch(train) [41][ 640/1879] lr: 9.9799e-02 eta: 2 days, 9:31:01 time: 0.4787 data_time: 0.0335 memory: 18108 grad_norm: 2.8834 loss: 4.7362 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6795 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 2.0566 2023/01/31 19:59:55 - mmengine - INFO - Epoch(train) [41][ 660/1879] lr: 9.9798e-02 eta: 2 days, 9:30:50 time: 0.5015 data_time: 0.0425 memory: 18108 grad_norm: 2.8891 loss: 4.8674 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.9100 top1_acc_1: 0.4353 top5_acc_1: 0.7529 loss_cls_1: 1.9573 2023/01/31 20:00:05 - mmengine - INFO - Epoch(train) [41][ 680/1879] lr: 9.9798e-02 eta: 2 days, 9:30:36 time: 0.4805 data_time: 0.0350 memory: 18108 grad_norm: 2.9150 loss: 4.7510 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.7439 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 2.0071 2023/01/31 20:00:14 - mmengine - INFO - Epoch(train) [41][ 700/1879] lr: 9.9797e-02 eta: 2 days, 9:30:23 time: 0.4872 data_time: 0.0362 memory: 18108 grad_norm: 2.8960 loss: 4.8606 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8049 top1_acc_1: 0.5059 top5_acc_1: 0.6941 loss_cls_1: 2.0557 2023/01/31 20:00:24 - mmengine - INFO - Epoch(train) [41][ 720/1879] lr: 9.9796e-02 eta: 2 days, 9:30:10 time: 0.4792 data_time: 0.0329 memory: 18108 grad_norm: 2.8799 loss: 4.8173 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.7836 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 2.0338 2023/01/31 20:00:34 - mmengine - INFO - Epoch(train) [41][ 740/1879] lr: 9.9796e-02 eta: 2 days, 9:29:58 time: 0.4941 data_time: 0.0419 memory: 18108 grad_norm: 2.8999 loss: 4.7580 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6397 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.1182 2023/01/31 20:00:44 - mmengine - INFO - Epoch(train) [41][ 760/1879] lr: 9.9795e-02 eta: 2 days, 9:29:44 time: 0.4797 data_time: 0.0338 memory: 18108 grad_norm: 2.9386 loss: 4.8763 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8973 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.9791 2023/01/31 20:00:53 - mmengine - INFO - Epoch(train) [41][ 780/1879] lr: 9.9794e-02 eta: 2 days, 9:29:32 time: 0.4925 data_time: 0.0331 memory: 18108 grad_norm: 2.8789 loss: 4.9159 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8050 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 2.1109 2023/01/31 20:01:03 - mmengine - INFO - Epoch(train) [41][ 800/1879] lr: 9.9793e-02 eta: 2 days, 9:29:19 time: 0.4810 data_time: 0.0341 memory: 18108 grad_norm: 2.8508 loss: 4.6463 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6578 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.9885 2023/01/31 20:01:13 - mmengine - INFO - Epoch(train) [41][ 820/1879] lr: 9.9793e-02 eta: 2 days, 9:29:07 time: 0.4941 data_time: 0.0336 memory: 18108 grad_norm: 2.9268 loss: 4.7308 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6776 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.0533 2023/01/31 20:01:23 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 20:01:23 - mmengine - INFO - Epoch(train) [41][ 840/1879] lr: 9.9792e-02 eta: 2 days, 9:28:54 time: 0.4883 data_time: 0.0342 memory: 18108 grad_norm: 2.8741 loss: 4.8083 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8106 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.9976 2023/01/31 20:01:33 - mmengine - INFO - Epoch(train) [41][ 860/1879] lr: 9.9791e-02 eta: 2 days, 9:28:42 time: 0.4985 data_time: 0.0345 memory: 18108 grad_norm: 2.9173 loss: 4.8592 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.8944 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.9648 2023/01/31 20:01:42 - mmengine - INFO - Epoch(train) [41][ 880/1879] lr: 9.9791e-02 eta: 2 days, 9:28:30 time: 0.4894 data_time: 0.0340 memory: 18108 grad_norm: 2.9173 loss: 4.9972 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.0203 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.9769 2023/01/31 20:01:53 - mmengine - INFO - Epoch(train) [41][ 900/1879] lr: 9.9790e-02 eta: 2 days, 9:28:19 time: 0.5073 data_time: 0.0379 memory: 18108 grad_norm: 2.9007 loss: 4.6654 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7179 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.9475 2023/01/31 20:02:02 - mmengine - INFO - Epoch(train) [41][ 920/1879] lr: 9.9789e-02 eta: 2 days, 9:28:07 time: 0.4955 data_time: 0.0359 memory: 18108 grad_norm: 2.9313 loss: 4.5682 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.5473 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 2.0210 2023/01/31 20:02:13 - mmengine - INFO - Epoch(train) [41][ 940/1879] lr: 9.9789e-02 eta: 2 days, 9:27:57 time: 0.5084 data_time: 0.0312 memory: 18108 grad_norm: 2.9073 loss: 4.8351 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8693 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.9657 2023/01/31 20:02:23 - mmengine - INFO - Epoch(train) [41][ 960/1879] lr: 9.9788e-02 eta: 2 days, 9:27:45 time: 0.4970 data_time: 0.0351 memory: 18108 grad_norm: 2.9219 loss: 4.6090 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5662 top1_acc_1: 0.5059 top5_acc_1: 0.7059 loss_cls_1: 2.0427 2023/01/31 20:02:33 - mmengine - INFO - Epoch(train) [41][ 980/1879] lr: 9.9787e-02 eta: 2 days, 9:27:35 time: 0.5087 data_time: 0.0305 memory: 18108 grad_norm: 2.9234 loss: 5.0553 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.0492 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 2.0060 2023/01/31 20:02:43 - mmengine - INFO - Epoch(train) [41][1000/1879] lr: 9.9787e-02 eta: 2 days, 9:27:24 time: 0.5049 data_time: 0.0339 memory: 18108 grad_norm: 2.9375 loss: 5.0205 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.9860 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 2.0345 2023/01/31 20:02:53 - mmengine - INFO - Epoch(train) [41][1020/1879] lr: 9.9786e-02 eta: 2 days, 9:27:12 time: 0.4905 data_time: 0.0334 memory: 18108 grad_norm: 2.8943 loss: 4.6460 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.6409 top1_acc_1: 0.4588 top5_acc_1: 0.7412 loss_cls_1: 2.0052 2023/01/31 20:03:03 - mmengine - INFO - Epoch(train) [41][1040/1879] lr: 9.9785e-02 eta: 2 days, 9:27:00 time: 0.5004 data_time: 0.0341 memory: 18108 grad_norm: 2.8894 loss: 4.5594 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5928 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 1.9666 2023/01/31 20:03:13 - mmengine - INFO - Epoch(train) [41][1060/1879] lr: 9.9784e-02 eta: 2 days, 9:26:50 time: 0.5125 data_time: 0.0327 memory: 18108 grad_norm: 2.9527 loss: 4.7727 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7609 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.0118 2023/01/31 20:03:23 - mmengine - INFO - Epoch(train) [41][1080/1879] lr: 9.9784e-02 eta: 2 days, 9:26:39 time: 0.5044 data_time: 0.0348 memory: 18108 grad_norm: 2.8668 loss: 4.5382 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.5717 top1_acc_1: 0.5294 top5_acc_1: 0.8471 loss_cls_1: 1.9664 2023/01/31 20:03:33 - mmengine - INFO - Epoch(train) [41][1100/1879] lr: 9.9783e-02 eta: 2 days, 9:26:29 time: 0.5123 data_time: 0.0365 memory: 18108 grad_norm: 2.9425 loss: 4.7148 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7319 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.9829 2023/01/31 20:03:43 - mmengine - INFO - Epoch(train) [41][1120/1879] lr: 9.9782e-02 eta: 2 days, 9:26:18 time: 0.5013 data_time: 0.0326 memory: 18108 grad_norm: 2.8924 loss: 4.8572 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.7703 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 2.0869 2023/01/31 20:03:54 - mmengine - INFO - Epoch(train) [41][1140/1879] lr: 9.9782e-02 eta: 2 days, 9:26:09 time: 0.5225 data_time: 0.0335 memory: 18108 grad_norm: 2.9565 loss: 4.5046 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4582 top1_acc_1: 0.4471 top5_acc_1: 0.7176 loss_cls_1: 2.0465 2023/01/31 20:04:04 - mmengine - INFO - Epoch(train) [41][1160/1879] lr: 9.9781e-02 eta: 2 days, 9:25:58 time: 0.5067 data_time: 0.0432 memory: 18108 grad_norm: 2.9397 loss: 4.7581 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7602 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9978 2023/01/31 20:04:14 - mmengine - INFO - Epoch(train) [41][1180/1879] lr: 9.9780e-02 eta: 2 days, 9:25:48 time: 0.5064 data_time: 0.0373 memory: 18108 grad_norm: 2.9181 loss: 4.6558 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6168 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 2.0390 2023/01/31 20:04:24 - mmengine - INFO - Epoch(train) [41][1200/1879] lr: 9.9780e-02 eta: 2 days, 9:25:38 time: 0.5176 data_time: 0.0329 memory: 18108 grad_norm: 2.9059 loss: 4.7816 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 2.6338 top1_acc_1: 0.4353 top5_acc_1: 0.6706 loss_cls_1: 2.1478 2023/01/31 20:04:35 - mmengine - INFO - Epoch(train) [41][1220/1879] lr: 9.9779e-02 eta: 2 days, 9:25:29 time: 0.5168 data_time: 0.0366 memory: 18108 grad_norm: 2.9007 loss: 4.9021 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.8969 top1_acc_1: 0.6235 top5_acc_1: 0.7529 loss_cls_1: 2.0052 2023/01/31 20:04:45 - mmengine - INFO - Epoch(train) [41][1240/1879] lr: 9.9778e-02 eta: 2 days, 9:25:17 time: 0.4968 data_time: 0.0325 memory: 18108 grad_norm: 2.8580 loss: 4.6409 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5065 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 2.1344 2023/01/31 20:04:55 - mmengine - INFO - Epoch(train) [41][1260/1879] lr: 9.9777e-02 eta: 2 days, 9:25:08 time: 0.5267 data_time: 0.0322 memory: 18108 grad_norm: 2.9223 loss: 4.7221 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6929 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 2.0293 2023/01/31 20:05:05 - mmengine - INFO - Epoch(train) [41][1280/1879] lr: 9.9777e-02 eta: 2 days, 9:24:58 time: 0.5101 data_time: 0.0369 memory: 18108 grad_norm: 2.8318 loss: 4.7628 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7624 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 2.0003 2023/01/31 20:05:16 - mmengine - INFO - Epoch(train) [41][1300/1879] lr: 9.9776e-02 eta: 2 days, 9:24:49 time: 0.5219 data_time: 0.0342 memory: 18108 grad_norm: 2.8942 loss: 4.8781 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8825 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 1.9956 2023/01/31 20:05:26 - mmengine - INFO - Epoch(train) [41][1320/1879] lr: 9.9775e-02 eta: 2 days, 9:24:38 time: 0.5054 data_time: 0.0338 memory: 18108 grad_norm: 2.8758 loss: 4.8658 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8521 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 2.0137 2023/01/31 20:05:36 - mmengine - INFO - Epoch(train) [41][1340/1879] lr: 9.9775e-02 eta: 2 days, 9:24:28 time: 0.5141 data_time: 0.0315 memory: 18108 grad_norm: 2.8829 loss: 4.4979 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5211 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9768 2023/01/31 20:05:47 - mmengine - INFO - Epoch(train) [41][1360/1879] lr: 9.9774e-02 eta: 2 days, 9:24:19 time: 0.5166 data_time: 0.0439 memory: 18108 grad_norm: 2.9100 loss: 4.8499 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.9708 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.8790 2023/01/31 20:05:57 - mmengine - INFO - Epoch(train) [41][1380/1879] lr: 9.9773e-02 eta: 2 days, 9:24:08 time: 0.5070 data_time: 0.0323 memory: 18108 grad_norm: 2.8857 loss: 4.8137 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8558 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.9578 2023/01/31 20:06:07 - mmengine - INFO - Epoch(train) [41][1400/1879] lr: 9.9772e-02 eta: 2 days, 9:23:58 time: 0.5156 data_time: 0.0330 memory: 18108 grad_norm: 2.9583 loss: 5.0204 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.9537 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.0667 2023/01/31 20:06:18 - mmengine - INFO - Epoch(train) [41][1420/1879] lr: 9.9772e-02 eta: 2 days, 9:23:49 time: 0.5194 data_time: 0.0386 memory: 18108 grad_norm: 2.9055 loss: 4.7994 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.8090 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.9904 2023/01/31 20:06:28 - mmengine - INFO - Epoch(train) [41][1440/1879] lr: 9.9771e-02 eta: 2 days, 9:23:38 time: 0.5060 data_time: 0.0372 memory: 18108 grad_norm: 2.9200 loss: 4.7743 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6790 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.0953 2023/01/31 20:06:38 - mmengine - INFO - Epoch(train) [41][1460/1879] lr: 9.9770e-02 eta: 2 days, 9:23:28 time: 0.5061 data_time: 0.0336 memory: 18108 grad_norm: 2.9088 loss: 4.8017 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7480 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 2.0537 2023/01/31 20:06:48 - mmengine - INFO - Epoch(train) [41][1480/1879] lr: 9.9770e-02 eta: 2 days, 9:23:18 time: 0.5147 data_time: 0.0356 memory: 18108 grad_norm: 2.8317 loss: 4.8015 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7916 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 2.0100 2023/01/31 20:06:58 - mmengine - INFO - Epoch(train) [41][1500/1879] lr: 9.9769e-02 eta: 2 days, 9:23:07 time: 0.5046 data_time: 0.0387 memory: 18108 grad_norm: 2.8851 loss: 4.7519 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8181 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 1.9338 2023/01/31 20:07:08 - mmengine - INFO - Epoch(train) [41][1520/1879] lr: 9.9768e-02 eta: 2 days, 9:22:56 time: 0.5042 data_time: 0.0349 memory: 18108 grad_norm: 2.8689 loss: 4.8722 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7416 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.1306 2023/01/31 20:07:19 - mmengine - INFO - Epoch(train) [41][1540/1879] lr: 9.9767e-02 eta: 2 days, 9:22:48 time: 0.5344 data_time: 0.0342 memory: 18108 grad_norm: 2.8810 loss: 4.9780 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8436 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 2.1343 2023/01/31 20:07:29 - mmengine - INFO - Epoch(train) [41][1560/1879] lr: 9.9767e-02 eta: 2 days, 9:22:37 time: 0.5026 data_time: 0.0413 memory: 18108 grad_norm: 2.8953 loss: 4.7274 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6492 top1_acc_1: 0.4235 top5_acc_1: 0.6706 loss_cls_1: 2.0782 2023/01/31 20:07:39 - mmengine - INFO - Epoch(train) [41][1580/1879] lr: 9.9766e-02 eta: 2 days, 9:22:26 time: 0.5036 data_time: 0.0342 memory: 18108 grad_norm: 2.8779 loss: 4.8124 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8904 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9220 2023/01/31 20:07:49 - mmengine - INFO - Epoch(train) [41][1600/1879] lr: 9.9765e-02 eta: 2 days, 9:22:16 time: 0.5080 data_time: 0.0354 memory: 18108 grad_norm: 2.9013 loss: 4.6417 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.5467 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 2.0951 2023/01/31 20:08:00 - mmengine - INFO - Epoch(train) [41][1620/1879] lr: 9.9764e-02 eta: 2 days, 9:22:06 time: 0.5182 data_time: 0.0311 memory: 18108 grad_norm: 2.8857 loss: 4.9163 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8670 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 2.0493 2023/01/31 20:08:10 - mmengine - INFO - Epoch(train) [41][1640/1879] lr: 9.9764e-02 eta: 2 days, 9:21:56 time: 0.5071 data_time: 0.0409 memory: 18108 grad_norm: 2.8560 loss: 4.7841 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7303 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 2.0538 2023/01/31 20:08:20 - mmengine - INFO - Epoch(train) [41][1660/1879] lr: 9.9763e-02 eta: 2 days, 9:21:44 time: 0.5024 data_time: 0.0314 memory: 18108 grad_norm: 2.8548 loss: 4.9823 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8866 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 2.0958 2023/01/31 20:08:30 - mmengine - INFO - Epoch(train) [41][1680/1879] lr: 9.9762e-02 eta: 2 days, 9:21:35 time: 0.5149 data_time: 0.0322 memory: 18108 grad_norm: 2.8724 loss: 4.9047 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.9087 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9959 2023/01/31 20:08:41 - mmengine - INFO - Epoch(train) [41][1700/1879] lr: 9.9762e-02 eta: 2 days, 9:21:26 time: 0.5297 data_time: 0.0449 memory: 18108 grad_norm: 2.8837 loss: 4.7818 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7299 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0518 2023/01/31 20:08:51 - mmengine - INFO - Epoch(train) [41][1720/1879] lr: 9.9761e-02 eta: 2 days, 9:21:15 time: 0.5006 data_time: 0.0343 memory: 18108 grad_norm: 2.9082 loss: 5.1018 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 3.0902 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 2.0115 2023/01/31 20:09:01 - mmengine - INFO - Epoch(train) [41][1740/1879] lr: 9.9760e-02 eta: 2 days, 9:21:07 time: 0.5334 data_time: 0.0330 memory: 18108 grad_norm: 2.8354 loss: 4.6797 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6613 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 2.0183 2023/01/31 20:09:12 - mmengine - INFO - Epoch(train) [41][1760/1879] lr: 9.9759e-02 eta: 2 days, 9:20:56 time: 0.5044 data_time: 0.0411 memory: 18108 grad_norm: 2.9361 loss: 4.8400 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8423 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.9976 2023/01/31 20:09:22 - mmengine - INFO - Epoch(train) [41][1780/1879] lr: 9.9759e-02 eta: 2 days, 9:20:46 time: 0.5062 data_time: 0.0325 memory: 18108 grad_norm: 2.8950 loss: 4.9874 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.9735 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.0140 2023/01/31 20:09:32 - mmengine - INFO - Epoch(train) [41][1800/1879] lr: 9.9758e-02 eta: 2 days, 9:20:34 time: 0.5017 data_time: 0.0331 memory: 18108 grad_norm: 2.9056 loss: 4.8044 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7630 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.0414 2023/01/31 20:09:42 - mmengine - INFO - Epoch(train) [41][1820/1879] lr: 9.9757e-02 eta: 2 days, 9:20:27 time: 0.5337 data_time: 0.0299 memory: 18108 grad_norm: 2.9191 loss: 4.7685 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.7653 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 2.0032 2023/01/31 20:09:53 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 20:09:53 - mmengine - INFO - Epoch(train) [41][1840/1879] lr: 9.9756e-02 eta: 2 days, 9:20:16 time: 0.5062 data_time: 0.0416 memory: 18108 grad_norm: 2.9037 loss: 4.9431 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9047 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 2.0384 2023/01/31 20:10:03 - mmengine - INFO - Epoch(train) [41][1860/1879] lr: 9.9756e-02 eta: 2 days, 9:20:06 time: 0.5126 data_time: 0.0358 memory: 18108 grad_norm: 2.9058 loss: 4.7251 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.7204 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0047 2023/01/31 20:10:12 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 20:10:12 - mmengine - INFO - Epoch(train) [41][1879/1879] lr: 9.9755e-02 eta: 2 days, 9:19:53 time: 0.4900 data_time: 0.0312 memory: 18108 grad_norm: 2.9879 loss: 4.9562 top1_acc_0: 0.2857 top5_acc_0: 0.4286 loss_cls_0: 2.8632 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.0930 2023/01/31 20:10:27 - mmengine - INFO - Epoch(train) [42][ 20/1879] lr: 9.9754e-02 eta: 2 days, 9:20:04 time: 0.7148 data_time: 0.2557 memory: 18108 grad_norm: 2.8953 loss: 4.9049 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.8793 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.0255 2023/01/31 20:10:36 - mmengine - INFO - Epoch(train) [42][ 40/1879] lr: 9.9753e-02 eta: 2 days, 9:19:49 time: 0.4674 data_time: 0.0338 memory: 18108 grad_norm: 2.8127 loss: 4.5636 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6528 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9109 2023/01/31 20:10:46 - mmengine - INFO - Epoch(train) [42][ 60/1879] lr: 9.9753e-02 eta: 2 days, 9:19:36 time: 0.4813 data_time: 0.0395 memory: 18108 grad_norm: 2.8577 loss: 4.9377 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.9370 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 2.0006 2023/01/31 20:10:56 - mmengine - INFO - Epoch(train) [42][ 80/1879] lr: 9.9752e-02 eta: 2 days, 9:19:26 time: 0.5075 data_time: 0.0414 memory: 18108 grad_norm: 2.8647 loss: 4.7426 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7526 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 1.9900 2023/01/31 20:11:06 - mmengine - INFO - Epoch(train) [42][ 100/1879] lr: 9.9751e-02 eta: 2 days, 9:19:11 time: 0.4727 data_time: 0.0369 memory: 18108 grad_norm: 2.9153 loss: 4.5867 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6244 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9623 2023/01/31 20:11:15 - mmengine - INFO - Epoch(train) [42][ 120/1879] lr: 9.9750e-02 eta: 2 days, 9:18:56 time: 0.4612 data_time: 0.0338 memory: 18108 grad_norm: 2.9302 loss: 4.4964 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5206 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9757 2023/01/31 20:11:25 - mmengine - INFO - Epoch(train) [42][ 140/1879] lr: 9.9750e-02 eta: 2 days, 9:18:45 time: 0.5009 data_time: 0.0365 memory: 18108 grad_norm: 2.9467 loss: 4.9660 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.9148 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.0512 2023/01/31 20:11:34 - mmengine - INFO - Epoch(train) [42][ 160/1879] lr: 9.9749e-02 eta: 2 days, 9:18:31 time: 0.4808 data_time: 0.0408 memory: 18108 grad_norm: 2.9234 loss: 4.8515 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7861 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 2.0654 2023/01/31 20:11:44 - mmengine - INFO - Epoch(train) [42][ 180/1879] lr: 9.9748e-02 eta: 2 days, 9:18:17 time: 0.4732 data_time: 0.0359 memory: 18108 grad_norm: 2.9346 loss: 5.0300 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9619 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.0681 2023/01/31 20:11:53 - mmengine - INFO - Epoch(train) [42][ 200/1879] lr: 9.9747e-02 eta: 2 days, 9:18:03 time: 0.4718 data_time: 0.0326 memory: 18108 grad_norm: 2.8818 loss: 4.6657 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5961 top1_acc_1: 0.4588 top5_acc_1: 0.7412 loss_cls_1: 2.0697 2023/01/31 20:12:03 - mmengine - INFO - Epoch(train) [42][ 220/1879] lr: 9.9747e-02 eta: 2 days, 9:17:51 time: 0.4968 data_time: 0.0348 memory: 18108 grad_norm: 2.8904 loss: 4.6539 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.7687 top1_acc_1: 0.5176 top5_acc_1: 0.8588 loss_cls_1: 1.8852 2023/01/31 20:12:13 - mmengine - INFO - Epoch(train) [42][ 240/1879] lr: 9.9746e-02 eta: 2 days, 9:17:36 time: 0.4662 data_time: 0.0401 memory: 18108 grad_norm: 2.8863 loss: 4.7602 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7117 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0485 2023/01/31 20:12:22 - mmengine - INFO - Epoch(train) [42][ 260/1879] lr: 9.9745e-02 eta: 2 days, 9:17:21 time: 0.4603 data_time: 0.0335 memory: 18108 grad_norm: 2.9342 loss: 4.5790 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6905 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8884 2023/01/31 20:12:31 - mmengine - INFO - Epoch(train) [42][ 280/1879] lr: 9.9744e-02 eta: 2 days, 9:17:05 time: 0.4583 data_time: 0.0341 memory: 18108 grad_norm: 2.9161 loss: 4.5863 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5539 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 2.0324 2023/01/31 20:12:40 - mmengine - INFO - Epoch(train) [42][ 300/1879] lr: 9.9744e-02 eta: 2 days, 9:16:51 time: 0.4737 data_time: 0.0356 memory: 18108 grad_norm: 2.9180 loss: 4.7732 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7844 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.9888 2023/01/31 20:12:50 - mmengine - INFO - Epoch(train) [42][ 320/1879] lr: 9.9743e-02 eta: 2 days, 9:16:38 time: 0.4838 data_time: 0.0362 memory: 18108 grad_norm: 2.9156 loss: 4.9403 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.9298 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 2.0104 2023/01/31 20:12:59 - mmengine - INFO - Epoch(train) [42][ 340/1879] lr: 9.9742e-02 eta: 2 days, 9:16:23 time: 0.4639 data_time: 0.0457 memory: 18108 grad_norm: 2.8620 loss: 5.1869 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 3.1512 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 2.0357 2023/01/31 20:13:09 - mmengine - INFO - Epoch(train) [42][ 360/1879] lr: 9.9741e-02 eta: 2 days, 9:16:08 time: 0.4670 data_time: 0.0383 memory: 18108 grad_norm: 2.8474 loss: 4.8710 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.8350 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 2.0361 2023/01/31 20:13:18 - mmengine - INFO - Epoch(train) [42][ 380/1879] lr: 9.9741e-02 eta: 2 days, 9:15:53 time: 0.4654 data_time: 0.0364 memory: 18108 grad_norm: 2.8685 loss: 4.7454 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.8383 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.9071 2023/01/31 20:13:28 - mmengine - INFO - Epoch(train) [42][ 400/1879] lr: 9.9740e-02 eta: 2 days, 9:15:39 time: 0.4745 data_time: 0.0355 memory: 18108 grad_norm: 2.8901 loss: 4.6777 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7236 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9541 2023/01/31 20:13:37 - mmengine - INFO - Epoch(train) [42][ 420/1879] lr: 9.9739e-02 eta: 2 days, 9:15:25 time: 0.4774 data_time: 0.0363 memory: 18108 grad_norm: 2.8337 loss: 4.7294 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8080 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9214 2023/01/31 20:13:46 - mmengine - INFO - Epoch(train) [42][ 440/1879] lr: 9.9738e-02 eta: 2 days, 9:15:11 time: 0.4666 data_time: 0.0369 memory: 18108 grad_norm: 2.9410 loss: 4.9068 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8922 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.0146 2023/01/31 20:13:56 - mmengine - INFO - Epoch(train) [42][ 460/1879] lr: 9.9737e-02 eta: 2 days, 9:14:55 time: 0.4636 data_time: 0.0362 memory: 18108 grad_norm: 2.8882 loss: 4.6862 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6945 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 1.9917 2023/01/31 20:14:05 - mmengine - INFO - Epoch(train) [42][ 480/1879] lr: 9.9737e-02 eta: 2 days, 9:14:42 time: 0.4771 data_time: 0.0371 memory: 18108 grad_norm: 2.9426 loss: 4.9158 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.9193 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9965 2023/01/31 20:14:15 - mmengine - INFO - Epoch(train) [42][ 500/1879] lr: 9.9736e-02 eta: 2 days, 9:14:28 time: 0.4793 data_time: 0.0362 memory: 18108 grad_norm: 2.9001 loss: 4.8197 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7279 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.0918 2023/01/31 20:14:25 - mmengine - INFO - Epoch(train) [42][ 520/1879] lr: 9.9735e-02 eta: 2 days, 9:14:15 time: 0.4825 data_time: 0.0449 memory: 18108 grad_norm: 2.8985 loss: 4.9074 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9006 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.0068 2023/01/31 20:14:34 - mmengine - INFO - Epoch(train) [42][ 540/1879] lr: 9.9734e-02 eta: 2 days, 9:14:01 time: 0.4741 data_time: 0.0359 memory: 18108 grad_norm: 2.9050 loss: 4.8075 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7743 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 2.0332 2023/01/31 20:14:44 - mmengine - INFO - Epoch(train) [42][ 560/1879] lr: 9.9734e-02 eta: 2 days, 9:13:47 time: 0.4777 data_time: 0.0364 memory: 18108 grad_norm: 2.8442 loss: 4.7042 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6528 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 2.0514 2023/01/31 20:14:53 - mmengine - INFO - Epoch(train) [42][ 580/1879] lr: 9.9733e-02 eta: 2 days, 9:13:34 time: 0.4759 data_time: 0.0356 memory: 18108 grad_norm: 2.9172 loss: 4.5113 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5620 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9493 2023/01/31 20:15:03 - mmengine - INFO - Epoch(train) [42][ 600/1879] lr: 9.9732e-02 eta: 2 days, 9:13:21 time: 0.4862 data_time: 0.0429 memory: 18108 grad_norm: 2.8394 loss: 4.9468 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.9353 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 2.0115 2023/01/31 20:15:12 - mmengine - INFO - Epoch(train) [42][ 620/1879] lr: 9.9731e-02 eta: 2 days, 9:13:06 time: 0.4692 data_time: 0.0359 memory: 18108 grad_norm: 2.9477 loss: 4.6043 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6696 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.9347 2023/01/31 20:15:22 - mmengine - INFO - Epoch(train) [42][ 640/1879] lr: 9.9731e-02 eta: 2 days, 9:12:53 time: 0.4808 data_time: 0.0357 memory: 18108 grad_norm: 2.8781 loss: 4.5268 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5031 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0237 2023/01/31 20:15:31 - mmengine - INFO - Epoch(train) [42][ 660/1879] lr: 9.9730e-02 eta: 2 days, 9:12:38 time: 0.4682 data_time: 0.0384 memory: 18108 grad_norm: 2.9314 loss: 4.6929 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.7223 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.9706 2023/01/31 20:15:41 - mmengine - INFO - Epoch(train) [42][ 680/1879] lr: 9.9729e-02 eta: 2 days, 9:12:26 time: 0.4903 data_time: 0.0355 memory: 18108 grad_norm: 2.9157 loss: 4.9752 top1_acc_0: 0.0625 top5_acc_0: 0.4375 loss_cls_0: 2.9832 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.9919 2023/01/31 20:15:51 - mmengine - INFO - Epoch(train) [42][ 700/1879] lr: 9.9728e-02 eta: 2 days, 9:12:12 time: 0.4784 data_time: 0.0366 memory: 18108 grad_norm: 2.9422 loss: 4.7316 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7028 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 2.0288 2023/01/31 20:16:00 - mmengine - INFO - Epoch(train) [42][ 720/1879] lr: 9.9727e-02 eta: 2 days, 9:11:58 time: 0.4655 data_time: 0.0366 memory: 18108 grad_norm: 2.9058 loss: 4.7335 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6700 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.0635 2023/01/31 20:16:10 - mmengine - INFO - Epoch(train) [42][ 740/1879] lr: 9.9727e-02 eta: 2 days, 9:11:44 time: 0.4820 data_time: 0.0358 memory: 18108 grad_norm: 2.9414 loss: 4.9395 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.8838 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0556 2023/01/31 20:16:19 - mmengine - INFO - Epoch(train) [42][ 760/1879] lr: 9.9726e-02 eta: 2 days, 9:11:30 time: 0.4725 data_time: 0.0371 memory: 18108 grad_norm: 2.9151 loss: 4.8991 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8872 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 2.0120 2023/01/31 20:16:29 - mmengine - INFO - Epoch(train) [42][ 780/1879] lr: 9.9725e-02 eta: 2 days, 9:11:17 time: 0.4807 data_time: 0.0357 memory: 18108 grad_norm: 2.9324 loss: 4.9675 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 3.0009 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9666 2023/01/31 20:16:39 - mmengine - INFO - Epoch(train) [42][ 800/1879] lr: 9.9724e-02 eta: 2 days, 9:11:07 time: 0.5182 data_time: 0.0690 memory: 18108 grad_norm: 2.8725 loss: 4.7605 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6981 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 2.0624 2023/01/31 20:16:50 - mmengine - INFO - Epoch(train) [42][ 820/1879] lr: 9.9723e-02 eta: 2 days, 9:10:59 time: 0.5310 data_time: 0.0991 memory: 18108 grad_norm: 2.8622 loss: 4.7499 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7715 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.9784 2023/01/31 20:17:00 - mmengine - INFO - Epoch(train) [42][ 840/1879] lr: 9.9723e-02 eta: 2 days, 9:10:51 time: 0.5237 data_time: 0.0955 memory: 18108 grad_norm: 2.8878 loss: 5.0683 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9928 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0755 2023/01/31 20:17:10 - mmengine - INFO - Epoch(train) [42][ 860/1879] lr: 9.9722e-02 eta: 2 days, 9:10:37 time: 0.4782 data_time: 0.0347 memory: 18108 grad_norm: 2.8790 loss: 4.9035 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8513 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.0522 2023/01/31 20:17:19 - mmengine - INFO - Epoch(train) [42][ 880/1879] lr: 9.9721e-02 eta: 2 days, 9:10:23 time: 0.4744 data_time: 0.0407 memory: 18108 grad_norm: 2.8929 loss: 4.8094 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.7996 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.0098 2023/01/31 20:17:29 - mmengine - INFO - Epoch(train) [42][ 900/1879] lr: 9.9720e-02 eta: 2 days, 9:10:10 time: 0.4810 data_time: 0.0368 memory: 18108 grad_norm: 2.8466 loss: 4.7391 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7460 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9931 2023/01/31 20:17:38 - mmengine - INFO - Epoch(train) [42][ 920/1879] lr: 9.9719e-02 eta: 2 days, 9:09:55 time: 0.4659 data_time: 0.0359 memory: 18108 grad_norm: 2.8553 loss: 4.9019 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.9292 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.9726 2023/01/31 20:17:48 - mmengine - INFO - Epoch(train) [42][ 940/1879] lr: 9.9719e-02 eta: 2 days, 9:09:42 time: 0.4824 data_time: 0.0350 memory: 18108 grad_norm: 2.9186 loss: 4.8531 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7683 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.0848 2023/01/31 20:17:57 - mmengine - INFO - Epoch(train) [42][ 960/1879] lr: 9.9718e-02 eta: 2 days, 9:09:28 time: 0.4748 data_time: 0.0413 memory: 18108 grad_norm: 2.9162 loss: 4.8323 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.9121 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.9202 2023/01/31 20:17:58 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 20:18:07 - mmengine - INFO - Epoch(train) [42][ 980/1879] lr: 9.9717e-02 eta: 2 days, 9:09:14 time: 0.4743 data_time: 0.0378 memory: 18108 grad_norm: 2.8805 loss: 4.7370 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 2.7804 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.9565 2023/01/31 20:18:16 - mmengine - INFO - Epoch(train) [42][1000/1879] lr: 9.9716e-02 eta: 2 days, 9:09:00 time: 0.4716 data_time: 0.0352 memory: 18108 grad_norm: 2.8557 loss: 4.9389 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.9335 top1_acc_1: 0.5176 top5_acc_1: 0.8353 loss_cls_1: 2.0054 2023/01/31 20:18:26 - mmengine - INFO - Epoch(train) [42][1020/1879] lr: 9.9715e-02 eta: 2 days, 9:08:46 time: 0.4777 data_time: 0.0356 memory: 18108 grad_norm: 2.9531 loss: 4.9220 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8272 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.0948 2023/01/31 20:18:36 - mmengine - INFO - Epoch(train) [42][1040/1879] lr: 9.9715e-02 eta: 2 days, 9:08:34 time: 0.4896 data_time: 0.0428 memory: 18108 grad_norm: 2.9477 loss: 4.8877 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8334 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 2.0543 2023/01/31 20:18:45 - mmengine - INFO - Epoch(train) [42][1060/1879] lr: 9.9714e-02 eta: 2 days, 9:08:19 time: 0.4699 data_time: 0.0347 memory: 18108 grad_norm: 2.8954 loss: 4.8335 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7085 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 2.1249 2023/01/31 20:18:54 - mmengine - INFO - Epoch(train) [42][1080/1879] lr: 9.9713e-02 eta: 2 days, 9:08:05 time: 0.4726 data_time: 0.0357 memory: 18108 grad_norm: 2.8696 loss: 4.9348 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.9340 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 2.0009 2023/01/31 20:19:04 - mmengine - INFO - Epoch(train) [42][1100/1879] lr: 9.9712e-02 eta: 2 days, 9:07:52 time: 0.4812 data_time: 0.0362 memory: 18108 grad_norm: 2.9020 loss: 4.6743 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7301 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.9443 2023/01/31 20:19:14 - mmengine - INFO - Epoch(train) [42][1120/1879] lr: 9.9711e-02 eta: 2 days, 9:07:38 time: 0.4786 data_time: 0.0366 memory: 18108 grad_norm: 2.8880 loss: 5.0451 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9745 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.0706 2023/01/31 20:19:23 - mmengine - INFO - Epoch(train) [42][1140/1879] lr: 9.9711e-02 eta: 2 days, 9:07:25 time: 0.4811 data_time: 0.0376 memory: 18108 grad_norm: 2.8573 loss: 4.6380 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7424 top1_acc_1: 0.5882 top5_acc_1: 0.6941 loss_cls_1: 1.8956 2023/01/31 20:19:33 - mmengine - INFO - Epoch(train) [42][1160/1879] lr: 9.9710e-02 eta: 2 days, 9:07:11 time: 0.4680 data_time: 0.0374 memory: 18108 grad_norm: 2.8874 loss: 4.7681 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6439 top1_acc_1: 0.6353 top5_acc_1: 0.7647 loss_cls_1: 2.1242 2023/01/31 20:19:42 - mmengine - INFO - Epoch(train) [42][1180/1879] lr: 9.9709e-02 eta: 2 days, 9:06:58 time: 0.4835 data_time: 0.0411 memory: 18108 grad_norm: 2.9049 loss: 4.7629 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6528 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.1102 2023/01/31 20:19:52 - mmengine - INFO - Epoch(train) [42][1200/1879] lr: 9.9708e-02 eta: 2 days, 9:06:45 time: 0.4831 data_time: 0.0366 memory: 18108 grad_norm: 2.9835 loss: 5.0179 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.9444 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.0734 2023/01/31 20:20:02 - mmengine - INFO - Epoch(train) [42][1220/1879] lr: 9.9707e-02 eta: 2 days, 9:06:31 time: 0.4748 data_time: 0.0362 memory: 18108 grad_norm: 2.8605 loss: 4.9133 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8935 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.0198 2023/01/31 20:20:11 - mmengine - INFO - Epoch(train) [42][1240/1879] lr: 9.9707e-02 eta: 2 days, 9:06:18 time: 0.4829 data_time: 0.0352 memory: 18108 grad_norm: 2.8632 loss: 4.8758 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8406 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0352 2023/01/31 20:20:21 - mmengine - INFO - Epoch(train) [42][1260/1879] lr: 9.9706e-02 eta: 2 days, 9:06:05 time: 0.4870 data_time: 0.0435 memory: 18108 grad_norm: 2.9079 loss: 4.7371 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6557 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 2.0814 2023/01/31 20:20:31 - mmengine - INFO - Epoch(train) [42][1280/1879] lr: 9.9705e-02 eta: 2 days, 9:05:53 time: 0.4935 data_time: 0.0346 memory: 18108 grad_norm: 2.9081 loss: 4.8042 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7981 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 2.0061 2023/01/31 20:20:40 - mmengine - INFO - Epoch(train) [42][1300/1879] lr: 9.9704e-02 eta: 2 days, 9:05:40 time: 0.4793 data_time: 0.0346 memory: 18108 grad_norm: 2.9267 loss: 4.8238 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7754 top1_acc_1: 0.4824 top5_acc_1: 0.6941 loss_cls_1: 2.0484 2023/01/31 20:20:50 - mmengine - INFO - Epoch(train) [42][1320/1879] lr: 9.9703e-02 eta: 2 days, 9:05:26 time: 0.4797 data_time: 0.0358 memory: 18108 grad_norm: 3.1140 loss: 4.5907 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 2.5985 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9921 2023/01/31 20:21:00 - mmengine - INFO - Epoch(train) [42][1340/1879] lr: 9.9702e-02 eta: 2 days, 9:05:15 time: 0.4975 data_time: 0.0427 memory: 18108 grad_norm: 2.9480 loss: 4.9105 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.8325 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.0779 2023/01/31 20:21:09 - mmengine - INFO - Epoch(train) [42][1360/1879] lr: 9.9702e-02 eta: 2 days, 9:05:01 time: 0.4764 data_time: 0.0333 memory: 18108 grad_norm: 2.8907 loss: 4.8186 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.7949 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 2.0238 2023/01/31 20:21:20 - mmengine - INFO - Epoch(train) [42][1380/1879] lr: 9.9701e-02 eta: 2 days, 9:04:52 time: 0.5195 data_time: 0.0709 memory: 18108 grad_norm: 2.8923 loss: 4.7215 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5844 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 2.1370 2023/01/31 20:21:31 - mmengine - INFO - Epoch(train) [42][1400/1879] lr: 9.9700e-02 eta: 2 days, 9:04:46 time: 0.5505 data_time: 0.1246 memory: 18108 grad_norm: 2.9214 loss: 4.8402 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7449 top1_acc_1: 0.5059 top5_acc_1: 0.7059 loss_cls_1: 2.0953 2023/01/31 20:21:40 - mmengine - INFO - Epoch(train) [42][1420/1879] lr: 9.9699e-02 eta: 2 days, 9:04:32 time: 0.4768 data_time: 0.0429 memory: 18108 grad_norm: 2.8698 loss: 4.8075 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7597 top1_acc_1: 0.4588 top5_acc_1: 0.7294 loss_cls_1: 2.0478 2023/01/31 20:21:50 - mmengine - INFO - Epoch(train) [42][1440/1879] lr: 9.9698e-02 eta: 2 days, 9:04:18 time: 0.4749 data_time: 0.0339 memory: 18108 grad_norm: 2.8965 loss: 4.8839 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8051 top1_acc_1: 0.4235 top5_acc_1: 0.7529 loss_cls_1: 2.0788 2023/01/31 20:21:59 - mmengine - INFO - Epoch(train) [42][1460/1879] lr: 9.9698e-02 eta: 2 days, 9:04:05 time: 0.4768 data_time: 0.0347 memory: 18108 grad_norm: 2.9048 loss: 4.6493 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5889 top1_acc_1: 0.5882 top5_acc_1: 0.7059 loss_cls_1: 2.0604 2023/01/31 20:22:09 - mmengine - INFO - Epoch(train) [42][1480/1879] lr: 9.9697e-02 eta: 2 days, 9:03:51 time: 0.4735 data_time: 0.0440 memory: 18108 grad_norm: 2.9288 loss: 4.7232 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7034 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 2.0198 2023/01/31 20:22:19 - mmengine - INFO - Epoch(train) [42][1500/1879] lr: 9.9696e-02 eta: 2 days, 9:03:37 time: 0.4798 data_time: 0.0347 memory: 18108 grad_norm: 2.8807 loss: 4.7564 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7608 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.9956 2023/01/31 20:22:28 - mmengine - INFO - Epoch(train) [42][1520/1879] lr: 9.9695e-02 eta: 2 days, 9:03:24 time: 0.4783 data_time: 0.0365 memory: 18108 grad_norm: 2.8727 loss: 4.4262 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5085 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.9177 2023/01/31 20:22:38 - mmengine - INFO - Epoch(train) [42][1540/1879] lr: 9.9694e-02 eta: 2 days, 9:03:11 time: 0.4811 data_time: 0.0349 memory: 18108 grad_norm: 2.8952 loss: 5.1316 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 3.0851 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 2.0465 2023/01/31 20:22:47 - mmengine - INFO - Epoch(train) [42][1560/1879] lr: 9.9693e-02 eta: 2 days, 9:02:57 time: 0.4768 data_time: 0.0357 memory: 18108 grad_norm: 2.8859 loss: 4.9746 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9103 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 2.0643 2023/01/31 20:22:57 - mmengine - INFO - Epoch(train) [42][1580/1879] lr: 9.9693e-02 eta: 2 days, 9:02:44 time: 0.4822 data_time: 0.0359 memory: 18108 grad_norm: 2.9220 loss: 4.7208 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6528 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 2.0680 2023/01/31 20:23:06 - mmengine - INFO - Epoch(train) [42][1600/1879] lr: 9.9692e-02 eta: 2 days, 9:02:30 time: 0.4769 data_time: 0.0375 memory: 18108 grad_norm: 2.9166 loss: 4.8594 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8535 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0059 2023/01/31 20:23:16 - mmengine - INFO - Epoch(train) [42][1620/1879] lr: 9.9691e-02 eta: 2 days, 9:02:17 time: 0.4848 data_time: 0.0406 memory: 18108 grad_norm: 2.8624 loss: 4.5526 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6286 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.9240 2023/01/31 20:23:26 - mmengine - INFO - Epoch(train) [42][1640/1879] lr: 9.9690e-02 eta: 2 days, 9:02:04 time: 0.4809 data_time: 0.0362 memory: 18108 grad_norm: 2.8527 loss: 4.8302 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8219 top1_acc_1: 0.4471 top5_acc_1: 0.7412 loss_cls_1: 2.0083 2023/01/31 20:23:36 - mmengine - INFO - Epoch(train) [42][1660/1879] lr: 9.9689e-02 eta: 2 days, 9:01:52 time: 0.4908 data_time: 0.0358 memory: 18108 grad_norm: 2.9100 loss: 4.6709 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7372 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9337 2023/01/31 20:23:45 - mmengine - INFO - Epoch(train) [42][1680/1879] lr: 9.9688e-02 eta: 2 days, 9:01:39 time: 0.4878 data_time: 0.0344 memory: 18108 grad_norm: 2.8459 loss: 4.8947 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.8358 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.0589 2023/01/31 20:23:55 - mmengine - INFO - Epoch(train) [42][1700/1879] lr: 9.9688e-02 eta: 2 days, 9:01:26 time: 0.4818 data_time: 0.0381 memory: 18108 grad_norm: 2.8845 loss: 4.7272 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8185 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.9087 2023/01/31 20:24:05 - mmengine - INFO - Epoch(train) [42][1720/1879] lr: 9.9687e-02 eta: 2 days, 9:01:13 time: 0.4803 data_time: 0.0325 memory: 18108 grad_norm: 2.9206 loss: 4.8413 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.8588 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 1.9824 2023/01/31 20:24:14 - mmengine - INFO - Epoch(train) [42][1740/1879] lr: 9.9686e-02 eta: 2 days, 9:01:00 time: 0.4842 data_time: 0.0353 memory: 18108 grad_norm: 2.9122 loss: 4.9414 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8242 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.1172 2023/01/31 20:24:24 - mmengine - INFO - Epoch(train) [42][1760/1879] lr: 9.9685e-02 eta: 2 days, 9:00:49 time: 0.5014 data_time: 0.0399 memory: 18108 grad_norm: 2.9093 loss: 4.7403 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6910 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.0493 2023/01/31 20:24:34 - mmengine - INFO - Epoch(train) [42][1780/1879] lr: 9.9684e-02 eta: 2 days, 9:00:36 time: 0.4817 data_time: 0.0495 memory: 18108 grad_norm: 2.9323 loss: 4.8388 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7542 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.0846 2023/01/31 20:24:44 - mmengine - INFO - Epoch(train) [42][1800/1879] lr: 9.9683e-02 eta: 2 days, 9:00:24 time: 0.4900 data_time: 0.0331 memory: 18108 grad_norm: 2.9217 loss: 4.9406 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8202 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 2.1204 2023/01/31 20:24:54 - mmengine - INFO - Epoch(train) [42][1820/1879] lr: 9.9682e-02 eta: 2 days, 9:00:11 time: 0.4872 data_time: 0.0440 memory: 18108 grad_norm: 2.8819 loss: 4.9097 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9030 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0068 2023/01/31 20:25:03 - mmengine - INFO - Epoch(train) [42][1840/1879] lr: 9.9682e-02 eta: 2 days, 8:59:59 time: 0.4935 data_time: 0.0321 memory: 18108 grad_norm: 2.8707 loss: 4.6709 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7269 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9440 2023/01/31 20:25:13 - mmengine - INFO - Epoch(train) [42][1860/1879] lr: 9.9681e-02 eta: 2 days, 8:59:45 time: 0.4733 data_time: 0.0370 memory: 18108 grad_norm: 2.8925 loss: 4.8580 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8365 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 2.0214 2023/01/31 20:25:22 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 20:25:22 - mmengine - INFO - Epoch(train) [42][1879/1879] lr: 9.9680e-02 eta: 2 days, 8:59:30 time: 0.4566 data_time: 0.0275 memory: 18108 grad_norm: 2.9403 loss: 4.7331 top1_acc_0: 0.2857 top5_acc_0: 0.7143 loss_cls_0: 2.7036 top1_acc_1: 0.5059 top5_acc_1: 0.6941 loss_cls_1: 2.0295 2023/01/31 20:25:40 - mmengine - INFO - Epoch(train) [43][ 20/1879] lr: 9.9679e-02 eta: 2 days, 8:59:56 time: 0.8638 data_time: 0.3202 memory: 18108 grad_norm: 2.8482 loss: 4.7373 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 2.7561 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.9812 2023/01/31 20:25:49 - mmengine - INFO - Epoch(train) [43][ 40/1879] lr: 9.9678e-02 eta: 2 days, 8:59:44 time: 0.4957 data_time: 0.0374 memory: 18108 grad_norm: 2.9089 loss: 4.8077 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8276 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.9801 2023/01/31 20:25:59 - mmengine - INFO - Epoch(train) [43][ 60/1879] lr: 9.9677e-02 eta: 2 days, 8:59:31 time: 0.4784 data_time: 0.0332 memory: 18108 grad_norm: 2.8608 loss: 4.6673 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.6541 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 2.0132 2023/01/31 20:26:09 - mmengine - INFO - Epoch(train) [43][ 80/1879] lr: 9.9677e-02 eta: 2 days, 8:59:19 time: 0.4957 data_time: 0.0417 memory: 18108 grad_norm: 2.8728 loss: 4.7313 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8196 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 1.9118 2023/01/31 20:26:10 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 20:26:18 - mmengine - INFO - Epoch(train) [43][ 100/1879] lr: 9.9676e-02 eta: 2 days, 8:59:05 time: 0.4688 data_time: 0.0349 memory: 18108 grad_norm: 2.8981 loss: 4.6261 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6086 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.0175 2023/01/31 20:26:28 - mmengine - INFO - Epoch(train) [43][ 120/1879] lr: 9.9675e-02 eta: 2 days, 8:58:50 time: 0.4643 data_time: 0.0359 memory: 18108 grad_norm: 2.9141 loss: 4.9860 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 3.0195 top1_acc_1: 0.4235 top5_acc_1: 0.6941 loss_cls_1: 1.9665 2023/01/31 20:26:37 - mmengine - INFO - Epoch(train) [43][ 140/1879] lr: 9.9674e-02 eta: 2 days, 8:58:37 time: 0.4784 data_time: 0.0365 memory: 18108 grad_norm: 2.9256 loss: 4.6956 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7136 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.9820 2023/01/31 20:26:47 - mmengine - INFO - Epoch(train) [43][ 160/1879] lr: 9.9673e-02 eta: 2 days, 8:58:24 time: 0.4830 data_time: 0.0413 memory: 18108 grad_norm: 2.9023 loss: 4.2742 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3100 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.9642 2023/01/31 20:26:56 - mmengine - INFO - Epoch(train) [43][ 180/1879] lr: 9.9672e-02 eta: 2 days, 8:58:09 time: 0.4678 data_time: 0.0358 memory: 18108 grad_norm: 2.9090 loss: 4.6648 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7320 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 1.9329 2023/01/31 20:27:05 - mmengine - INFO - Epoch(train) [43][ 200/1879] lr: 9.9671e-02 eta: 2 days, 8:57:54 time: 0.4600 data_time: 0.0356 memory: 18108 grad_norm: 2.9470 loss: 4.6240 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.6256 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.9984 2023/01/31 20:27:15 - mmengine - INFO - Epoch(train) [43][ 220/1879] lr: 9.9671e-02 eta: 2 days, 8:57:39 time: 0.4684 data_time: 0.0357 memory: 18108 grad_norm: 2.9246 loss: 4.6204 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6495 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9708 2023/01/31 20:27:24 - mmengine - INFO - Epoch(train) [43][ 240/1879] lr: 9.9670e-02 eta: 2 days, 8:57:25 time: 0.4737 data_time: 0.0348 memory: 18108 grad_norm: 2.9097 loss: 4.4424 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5040 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.9384 2023/01/31 20:27:34 - mmengine - INFO - Epoch(train) [43][ 260/1879] lr: 9.9669e-02 eta: 2 days, 8:57:12 time: 0.4785 data_time: 0.0360 memory: 18108 grad_norm: 2.9148 loss: 4.8013 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.9308 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8705 2023/01/31 20:27:43 - mmengine - INFO - Epoch(train) [43][ 280/1879] lr: 9.9668e-02 eta: 2 days, 8:56:57 time: 0.4671 data_time: 0.0372 memory: 18108 grad_norm: 2.8898 loss: 4.7601 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7573 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.0028 2023/01/31 20:27:53 - mmengine - INFO - Epoch(train) [43][ 300/1879] lr: 9.9667e-02 eta: 2 days, 8:56:43 time: 0.4728 data_time: 0.0342 memory: 18108 grad_norm: 2.9250 loss: 4.6804 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6252 top1_acc_1: 0.4941 top5_acc_1: 0.6941 loss_cls_1: 2.0552 2023/01/31 20:28:02 - mmengine - INFO - Epoch(train) [43][ 320/1879] lr: 9.9666e-02 eta: 2 days, 8:56:31 time: 0.4840 data_time: 0.0351 memory: 18108 grad_norm: 2.9663 loss: 4.8504 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7616 top1_acc_1: 0.5412 top5_acc_1: 0.6941 loss_cls_1: 2.0888 2023/01/31 20:28:12 - mmengine - INFO - Epoch(train) [43][ 340/1879] lr: 9.9665e-02 eta: 2 days, 8:56:17 time: 0.4735 data_time: 0.0351 memory: 18108 grad_norm: 2.9381 loss: 4.5760 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5534 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0225 2023/01/31 20:28:21 - mmengine - INFO - Epoch(train) [43][ 360/1879] lr: 9.9664e-02 eta: 2 days, 8:56:02 time: 0.4669 data_time: 0.0352 memory: 18108 grad_norm: 2.9209 loss: 4.6225 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5981 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.0244 2023/01/31 20:28:31 - mmengine - INFO - Epoch(train) [43][ 380/1879] lr: 9.9664e-02 eta: 2 days, 8:55:49 time: 0.4851 data_time: 0.0350 memory: 18108 grad_norm: 2.8929 loss: 4.7479 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7476 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0004 2023/01/31 20:28:40 - mmengine - INFO - Epoch(train) [43][ 400/1879] lr: 9.9663e-02 eta: 2 days, 8:55:36 time: 0.4792 data_time: 0.0359 memory: 18108 grad_norm: 2.8792 loss: 4.8362 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.8653 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.9709 2023/01/31 20:28:50 - mmengine - INFO - Epoch(train) [43][ 420/1879] lr: 9.9662e-02 eta: 2 days, 8:55:23 time: 0.4815 data_time: 0.0469 memory: 18108 grad_norm: 2.8982 loss: 4.9444 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8215 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 2.1229 2023/01/31 20:29:00 - mmengine - INFO - Epoch(train) [43][ 440/1879] lr: 9.9661e-02 eta: 2 days, 8:55:08 time: 0.4694 data_time: 0.0279 memory: 18108 grad_norm: 2.9203 loss: 4.7233 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6231 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 2.1002 2023/01/31 20:29:09 - mmengine - INFO - Epoch(train) [43][ 460/1879] lr: 9.9660e-02 eta: 2 days, 8:54:55 time: 0.4775 data_time: 0.0365 memory: 18108 grad_norm: 2.8910 loss: 4.9097 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8942 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.0155 2023/01/31 20:29:19 - mmengine - INFO - Epoch(train) [43][ 480/1879] lr: 9.9659e-02 eta: 2 days, 8:54:42 time: 0.4843 data_time: 0.0355 memory: 18108 grad_norm: 2.8973 loss: 4.5077 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5291 top1_acc_1: 0.4353 top5_acc_1: 0.6941 loss_cls_1: 1.9786 2023/01/31 20:29:29 - mmengine - INFO - Epoch(train) [43][ 500/1879] lr: 9.9658e-02 eta: 2 days, 8:54:30 time: 0.4929 data_time: 0.0373 memory: 18108 grad_norm: 2.8855 loss: 4.6752 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7218 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.9534 2023/01/31 20:29:38 - mmengine - INFO - Epoch(train) [43][ 520/1879] lr: 9.9657e-02 eta: 2 days, 8:54:18 time: 0.4861 data_time: 0.0320 memory: 18108 grad_norm: 2.9075 loss: 4.7342 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6330 top1_acc_1: 0.5176 top5_acc_1: 0.8353 loss_cls_1: 2.1012 2023/01/31 20:29:48 - mmengine - INFO - Epoch(train) [43][ 540/1879] lr: 9.9657e-02 eta: 2 days, 8:54:07 time: 0.5056 data_time: 0.0444 memory: 18108 grad_norm: 2.8745 loss: 4.5254 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6173 top1_acc_1: 0.6118 top5_acc_1: 0.7412 loss_cls_1: 1.9081 2023/01/31 20:29:58 - mmengine - INFO - Epoch(train) [43][ 560/1879] lr: 9.9656e-02 eta: 2 days, 8:53:54 time: 0.4809 data_time: 0.0304 memory: 18108 grad_norm: 2.8802 loss: 4.9165 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8227 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 2.0938 2023/01/31 20:30:08 - mmengine - INFO - Epoch(train) [43][ 580/1879] lr: 9.9655e-02 eta: 2 days, 8:53:42 time: 0.4949 data_time: 0.0368 memory: 18108 grad_norm: 2.8760 loss: 4.7988 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8423 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.9565 2023/01/31 20:30:18 - mmengine - INFO - Epoch(train) [43][ 600/1879] lr: 9.9654e-02 eta: 2 days, 8:53:29 time: 0.4833 data_time: 0.0296 memory: 18108 grad_norm: 2.8623 loss: 4.6345 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.7097 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.9248 2023/01/31 20:30:28 - mmengine - INFO - Epoch(train) [43][ 620/1879] lr: 9.9653e-02 eta: 2 days, 8:53:18 time: 0.4970 data_time: 0.0456 memory: 18108 grad_norm: 2.9618 loss: 4.8287 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.8283 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0003 2023/01/31 20:30:37 - mmengine - INFO - Epoch(train) [43][ 640/1879] lr: 9.9652e-02 eta: 2 days, 8:53:05 time: 0.4838 data_time: 0.0314 memory: 18108 grad_norm: 2.9162 loss: 4.4887 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5493 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.9395 2023/01/31 20:30:47 - mmengine - INFO - Epoch(train) [43][ 660/1879] lr: 9.9651e-02 eta: 2 days, 8:52:53 time: 0.4907 data_time: 0.0388 memory: 18108 grad_norm: 2.9145 loss: 4.6827 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7283 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.9544 2023/01/31 20:30:57 - mmengine - INFO - Epoch(train) [43][ 680/1879] lr: 9.9650e-02 eta: 2 days, 8:52:40 time: 0.4886 data_time: 0.0364 memory: 18108 grad_norm: 2.9183 loss: 4.7982 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8054 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.9928 2023/01/31 20:31:07 - mmengine - INFO - Epoch(train) [43][ 700/1879] lr: 9.9650e-02 eta: 2 days, 8:52:27 time: 0.4838 data_time: 0.0394 memory: 18108 grad_norm: 2.9277 loss: 5.0583 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9760 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.0823 2023/01/31 20:31:16 - mmengine - INFO - Epoch(train) [43][ 720/1879] lr: 9.9649e-02 eta: 2 days, 8:52:14 time: 0.4837 data_time: 0.0325 memory: 18108 grad_norm: 2.8661 loss: 4.7310 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6507 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 2.0803 2023/01/31 20:31:26 - mmengine - INFO - Epoch(train) [43][ 740/1879] lr: 9.9648e-02 eta: 2 days, 8:52:03 time: 0.4966 data_time: 0.0347 memory: 18108 grad_norm: 2.8863 loss: 4.8086 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8178 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9908 2023/01/31 20:31:36 - mmengine - INFO - Epoch(train) [43][ 760/1879] lr: 9.9647e-02 eta: 2 days, 8:51:50 time: 0.4858 data_time: 0.0430 memory: 18108 grad_norm: 2.8948 loss: 4.7347 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7899 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.9448 2023/01/31 20:31:46 - mmengine - INFO - Epoch(train) [43][ 780/1879] lr: 9.9646e-02 eta: 2 days, 8:51:38 time: 0.4868 data_time: 0.0327 memory: 18108 grad_norm: 2.8949 loss: 4.8751 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 2.8718 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.0033 2023/01/31 20:31:55 - mmengine - INFO - Epoch(train) [43][ 800/1879] lr: 9.9645e-02 eta: 2 days, 8:51:25 time: 0.4846 data_time: 0.0340 memory: 18108 grad_norm: 2.8632 loss: 4.8306 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7636 top1_acc_1: 0.4471 top5_acc_1: 0.7647 loss_cls_1: 2.0669 2023/01/31 20:32:05 - mmengine - INFO - Epoch(train) [43][ 820/1879] lr: 9.9644e-02 eta: 2 days, 8:51:14 time: 0.4996 data_time: 0.0391 memory: 18108 grad_norm: 2.8947 loss: 4.8747 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8565 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 2.0182 2023/01/31 20:32:15 - mmengine - INFO - Epoch(train) [43][ 840/1879] lr: 9.9643e-02 eta: 2 days, 8:51:01 time: 0.4848 data_time: 0.0343 memory: 18108 grad_norm: 2.9190 loss: 4.6383 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.6342 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.0041 2023/01/31 20:32:25 - mmengine - INFO - Epoch(train) [43][ 860/1879] lr: 9.9642e-02 eta: 2 days, 8:50:49 time: 0.4914 data_time: 0.0326 memory: 18108 grad_norm: 2.9464 loss: 4.7830 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7850 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.9980 2023/01/31 20:32:35 - mmengine - INFO - Epoch(train) [43][ 880/1879] lr: 9.9641e-02 eta: 2 days, 8:50:37 time: 0.4922 data_time: 0.0420 memory: 18108 grad_norm: 2.9285 loss: 4.8868 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8882 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9986 2023/01/31 20:32:45 - mmengine - INFO - Epoch(train) [43][ 900/1879] lr: 9.9641e-02 eta: 2 days, 8:50:25 time: 0.4935 data_time: 0.0346 memory: 18108 grad_norm: 2.9436 loss: 4.9278 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.8640 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.0638 2023/01/31 20:32:54 - mmengine - INFO - Epoch(train) [43][ 920/1879] lr: 9.9640e-02 eta: 2 days, 8:50:12 time: 0.4844 data_time: 0.0337 memory: 18108 grad_norm: 2.9164 loss: 4.4862 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4885 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.9977 2023/01/31 20:33:04 - mmengine - INFO - Epoch(train) [43][ 940/1879] lr: 9.9639e-02 eta: 2 days, 8:50:00 time: 0.4923 data_time: 0.0323 memory: 18108 grad_norm: 2.8595 loss: 4.8135 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7344 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 2.0791 2023/01/31 20:33:14 - mmengine - INFO - Epoch(train) [43][ 960/1879] lr: 9.9638e-02 eta: 2 days, 8:49:48 time: 0.4852 data_time: 0.0354 memory: 18108 grad_norm: 2.9237 loss: 4.8296 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8463 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.9833 2023/01/31 20:33:24 - mmengine - INFO - Epoch(train) [43][ 980/1879] lr: 9.9637e-02 eta: 2 days, 8:49:36 time: 0.4915 data_time: 0.0341 memory: 18108 grad_norm: 2.8754 loss: 4.9100 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8568 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.0532 2023/01/31 20:33:34 - mmengine - INFO - Epoch(train) [43][1000/1879] lr: 9.9636e-02 eta: 2 days, 8:49:24 time: 0.4922 data_time: 0.0345 memory: 18108 grad_norm: 2.9407 loss: 4.7896 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7446 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 2.0450 2023/01/31 20:33:43 - mmengine - INFO - Epoch(train) [43][1020/1879] lr: 9.9635e-02 eta: 2 days, 8:49:12 time: 0.4949 data_time: 0.0401 memory: 18108 grad_norm: 2.9619 loss: 4.8563 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8335 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 2.0228 2023/01/31 20:33:53 - mmengine - INFO - Epoch(train) [43][1040/1879] lr: 9.9634e-02 eta: 2 days, 8:49:00 time: 0.4923 data_time: 0.0351 memory: 18108 grad_norm: 2.9262 loss: 4.8622 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8462 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 2.0160 2023/01/31 20:34:03 - mmengine - INFO - Epoch(train) [43][1060/1879] lr: 9.9633e-02 eta: 2 days, 8:48:48 time: 0.4924 data_time: 0.0351 memory: 18108 grad_norm: 2.8726 loss: 4.9263 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.8803 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 2.0460 2023/01/31 20:34:13 - mmengine - INFO - Epoch(train) [43][1080/1879] lr: 9.9632e-02 eta: 2 days, 8:48:37 time: 0.4985 data_time: 0.0392 memory: 18108 grad_norm: 2.8537 loss: 4.7554 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6511 top1_acc_1: 0.4471 top5_acc_1: 0.6941 loss_cls_1: 2.1043 2023/01/31 20:34:14 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 20:34:23 - mmengine - INFO - Epoch(train) [43][1100/1879] lr: 9.9631e-02 eta: 2 days, 8:48:24 time: 0.4842 data_time: 0.0337 memory: 18108 grad_norm: 2.9088 loss: 4.5732 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5931 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9802 2023/01/31 20:34:33 - mmengine - INFO - Epoch(train) [43][1120/1879] lr: 9.9631e-02 eta: 2 days, 8:48:11 time: 0.4836 data_time: 0.0357 memory: 18108 grad_norm: 2.9140 loss: 4.9010 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.9255 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 1.9755 2023/01/31 20:34:43 - mmengine - INFO - Epoch(train) [43][1140/1879] lr: 9.9630e-02 eta: 2 days, 8:48:00 time: 0.5056 data_time: 0.0327 memory: 18108 grad_norm: 2.9136 loss: 4.5793 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5343 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 2.0450 2023/01/31 20:34:52 - mmengine - INFO - Epoch(train) [43][1160/1879] lr: 9.9629e-02 eta: 2 days, 8:47:48 time: 0.4913 data_time: 0.0416 memory: 18108 grad_norm: 2.8854 loss: 4.7333 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7182 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0151 2023/01/31 20:35:02 - mmengine - INFO - Epoch(train) [43][1180/1879] lr: 9.9628e-02 eta: 2 days, 8:47:36 time: 0.4869 data_time: 0.0350 memory: 18108 grad_norm: 2.8749 loss: 4.8414 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8223 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 2.0191 2023/01/31 20:35:12 - mmengine - INFO - Epoch(train) [43][1200/1879] lr: 9.9627e-02 eta: 2 days, 8:47:23 time: 0.4875 data_time: 0.0357 memory: 18108 grad_norm: 2.8253 loss: 4.7172 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7053 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 2.0119 2023/01/31 20:35:22 - mmengine - INFO - Epoch(train) [43][1220/1879] lr: 9.9626e-02 eta: 2 days, 8:47:13 time: 0.5051 data_time: 0.0410 memory: 18108 grad_norm: 2.9388 loss: 4.7972 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.8170 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.9802 2023/01/31 20:35:32 - mmengine - INFO - Epoch(train) [43][1240/1879] lr: 9.9625e-02 eta: 2 days, 8:46:59 time: 0.4766 data_time: 0.0345 memory: 18108 grad_norm: 2.8638 loss: 4.7831 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8341 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9490 2023/01/31 20:35:41 - mmengine - INFO - Epoch(train) [43][1260/1879] lr: 9.9624e-02 eta: 2 days, 8:46:47 time: 0.4878 data_time: 0.0318 memory: 18108 grad_norm: 2.8477 loss: 4.5560 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5591 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9968 2023/01/31 20:35:51 - mmengine - INFO - Epoch(train) [43][1280/1879] lr: 9.9623e-02 eta: 2 days, 8:46:35 time: 0.4931 data_time: 0.0410 memory: 18108 grad_norm: 2.8906 loss: 4.8504 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8879 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.9626 2023/01/31 20:36:01 - mmengine - INFO - Epoch(train) [43][1300/1879] lr: 9.9622e-02 eta: 2 days, 8:46:24 time: 0.5033 data_time: 0.0327 memory: 18108 grad_norm: 2.9055 loss: 4.6678 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7136 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.9541 2023/01/31 20:36:11 - mmengine - INFO - Epoch(train) [43][1320/1879] lr: 9.9621e-02 eta: 2 days, 8:46:11 time: 0.4856 data_time: 0.0367 memory: 18108 grad_norm: 2.8711 loss: 4.6883 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7087 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9797 2023/01/31 20:36:21 - mmengine - INFO - Epoch(train) [43][1340/1879] lr: 9.9620e-02 eta: 2 days, 8:45:58 time: 0.4813 data_time: 0.0343 memory: 18108 grad_norm: 2.9192 loss: 4.8410 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.8329 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 2.0081 2023/01/31 20:36:31 - mmengine - INFO - Epoch(train) [43][1360/1879] lr: 9.9620e-02 eta: 2 days, 8:45:47 time: 0.4998 data_time: 0.0410 memory: 18108 grad_norm: 2.9522 loss: 4.7180 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6861 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.0320 2023/01/31 20:36:41 - mmengine - INFO - Epoch(train) [43][1380/1879] lr: 9.9619e-02 eta: 2 days, 8:45:35 time: 0.4922 data_time: 0.0332 memory: 18108 grad_norm: 2.8701 loss: 4.7615 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8227 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.9388 2023/01/31 20:38:30 - mmengine - INFO - Epoch(train) [43][1400/1879] lr: 9.9618e-02 eta: 2 days, 8:53:42 time: 5.4902 data_time: 0.0354 memory: 18108 grad_norm: 2.8472 loss: 4.7180 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6964 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.0216 2023/01/31 20:38:40 - mmengine - INFO - Epoch(train) [43][1420/1879] lr: 9.9617e-02 eta: 2 days, 8:53:29 time: 0.4908 data_time: 0.0398 memory: 18108 grad_norm: 2.9162 loss: 4.9825 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9188 top1_acc_1: 0.5059 top5_acc_1: 0.6706 loss_cls_1: 2.0637 2023/01/31 20:38:50 - mmengine - INFO - Epoch(train) [43][1440/1879] lr: 9.9616e-02 eta: 2 days, 8:53:18 time: 0.4945 data_time: 0.0370 memory: 18108 grad_norm: 2.8394 loss: 4.8609 top1_acc_0: 0.3750 top5_acc_0: 0.3750 loss_cls_0: 2.7255 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.1354 2023/01/31 20:39:00 - mmengine - INFO - Epoch(train) [43][1460/1879] lr: 9.9615e-02 eta: 2 days, 8:53:06 time: 0.4955 data_time: 0.0324 memory: 18108 grad_norm: 2.9168 loss: 4.7210 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6245 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 2.0965 2023/01/31 20:39:10 - mmengine - INFO - Epoch(train) [43][1480/1879] lr: 9.9614e-02 eta: 2 days, 8:52:55 time: 0.5004 data_time: 0.0393 memory: 18108 grad_norm: 2.8642 loss: 4.9491 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9069 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.0421 2023/01/31 20:39:20 - mmengine - INFO - Epoch(train) [43][1500/1879] lr: 9.9613e-02 eta: 2 days, 8:52:42 time: 0.4909 data_time: 0.0343 memory: 18108 grad_norm: 2.8882 loss: 4.7350 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7651 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.9699 2023/01/31 20:39:29 - mmengine - INFO - Epoch(train) [43][1520/1879] lr: 9.9612e-02 eta: 2 days, 8:52:29 time: 0.4838 data_time: 0.0336 memory: 18108 grad_norm: 2.8352 loss: 4.7211 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6669 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.0542 2023/01/31 20:39:39 - mmengine - INFO - Epoch(train) [43][1540/1879] lr: 9.9611e-02 eta: 2 days, 8:52:17 time: 0.4882 data_time: 0.0312 memory: 18108 grad_norm: 2.9273 loss: 4.7949 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7027 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 2.0922 2023/01/31 20:39:49 - mmengine - INFO - Epoch(train) [43][1560/1879] lr: 9.9610e-02 eta: 2 days, 8:52:05 time: 0.4909 data_time: 0.0481 memory: 18108 grad_norm: 2.9007 loss: 4.6430 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7208 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.9222 2023/01/31 20:39:59 - mmengine - INFO - Epoch(train) [43][1580/1879] lr: 9.9609e-02 eta: 2 days, 8:51:52 time: 0.4918 data_time: 0.0307 memory: 18108 grad_norm: 2.8915 loss: 4.7795 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8768 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.9026 2023/01/31 20:40:09 - mmengine - INFO - Epoch(train) [43][1600/1879] lr: 9.9608e-02 eta: 2 days, 8:51:39 time: 0.4800 data_time: 0.0381 memory: 18108 grad_norm: 2.8689 loss: 4.6460 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.7232 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.9228 2023/01/31 20:40:19 - mmengine - INFO - Epoch(train) [43][1620/1879] lr: 9.9607e-02 eta: 2 days, 8:51:28 time: 0.4990 data_time: 0.0338 memory: 18108 grad_norm: 2.9145 loss: 4.7966 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7420 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.0546 2023/01/31 20:40:28 - mmengine - INFO - Epoch(train) [43][1640/1879] lr: 9.9606e-02 eta: 2 days, 8:51:16 time: 0.4988 data_time: 0.0351 memory: 18108 grad_norm: 2.8850 loss: 4.6103 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5824 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.0279 2023/01/31 20:40:38 - mmengine - INFO - Epoch(train) [43][1660/1879] lr: 9.9605e-02 eta: 2 days, 8:51:04 time: 0.4889 data_time: 0.0335 memory: 18108 grad_norm: 2.9257 loss: 4.7172 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6988 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 2.0184 2023/01/31 20:40:48 - mmengine - INFO - Epoch(train) [43][1680/1879] lr: 9.9605e-02 eta: 2 days, 8:50:53 time: 0.5028 data_time: 0.0404 memory: 18108 grad_norm: 2.8928 loss: 4.7689 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.7949 top1_acc_1: 0.4588 top5_acc_1: 0.7412 loss_cls_1: 1.9740 2023/01/31 20:40:59 - mmengine - INFO - Epoch(train) [43][1700/1879] lr: 9.9604e-02 eta: 2 days, 8:50:42 time: 0.5088 data_time: 0.0327 memory: 18108 grad_norm: 2.9527 loss: 4.9499 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.9113 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 2.0385 2023/01/31 20:41:09 - mmengine - INFO - Epoch(train) [43][1720/1879] lr: 9.9603e-02 eta: 2 days, 8:50:32 time: 0.5109 data_time: 0.0374 memory: 18108 grad_norm: 2.8795 loss: 4.5834 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5078 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.0756 2023/01/31 20:41:19 - mmengine - INFO - Epoch(train) [43][1740/1879] lr: 9.9602e-02 eta: 2 days, 8:50:22 time: 0.5126 data_time: 0.0302 memory: 18108 grad_norm: 2.8980 loss: 4.9036 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8952 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.0084 2023/01/31 20:41:29 - mmengine - INFO - Epoch(train) [43][1760/1879] lr: 9.9601e-02 eta: 2 days, 8:50:12 time: 0.5149 data_time: 0.0463 memory: 18108 grad_norm: 2.8819 loss: 4.8728 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.8451 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 2.0277 2023/01/31 20:41:39 - mmengine - INFO - Epoch(train) [43][1780/1879] lr: 9.9600e-02 eta: 2 days, 8:50:01 time: 0.5031 data_time: 0.0291 memory: 18108 grad_norm: 2.8945 loss: 4.7131 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6606 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.0525 2023/01/31 20:41:50 - mmengine - INFO - Epoch(train) [43][1800/1879] lr: 9.9599e-02 eta: 2 days, 8:49:51 time: 0.5085 data_time: 0.0373 memory: 18108 grad_norm: 2.9014 loss: 4.7319 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6395 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 2.0924 2023/01/31 20:42:00 - mmengine - INFO - Epoch(train) [43][1820/1879] lr: 9.9598e-02 eta: 2 days, 8:49:40 time: 0.5078 data_time: 0.0300 memory: 18108 grad_norm: 2.8570 loss: 4.6911 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6275 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 2.0636 2023/01/31 20:42:10 - mmengine - INFO - Epoch(train) [43][1840/1879] lr: 9.9597e-02 eta: 2 days, 8:49:29 time: 0.5016 data_time: 0.0418 memory: 18108 grad_norm: 2.8801 loss: 4.7811 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7763 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 2.0049 2023/01/31 20:42:20 - mmengine - INFO - Epoch(train) [43][1860/1879] lr: 9.9596e-02 eta: 2 days, 8:49:18 time: 0.5027 data_time: 0.0313 memory: 18108 grad_norm: 2.8670 loss: 4.8328 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.7301 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 2.1027 2023/01/31 20:42:29 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 20:42:29 - mmengine - INFO - Epoch(train) [43][1879/1879] lr: 9.9595e-02 eta: 2 days, 8:49:06 time: 0.4824 data_time: 0.0328 memory: 18108 grad_norm: 2.9642 loss: 4.6664 top1_acc_0: 0.7143 top5_acc_0: 0.8571 loss_cls_0: 2.6695 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.9969 2023/01/31 20:42:44 - mmengine - INFO - Epoch(train) [44][ 20/1879] lr: 9.9594e-02 eta: 2 days, 8:49:15 time: 0.7082 data_time: 0.2550 memory: 18108 grad_norm: 2.9083 loss: 4.8440 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7977 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 2.0464 2023/01/31 20:42:53 - mmengine - INFO - Epoch(train) [44][ 40/1879] lr: 9.9593e-02 eta: 2 days, 8:49:00 time: 0.4637 data_time: 0.0340 memory: 18108 grad_norm: 2.9459 loss: 4.4595 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5049 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.9546 2023/01/31 20:43:03 - mmengine - INFO - Epoch(train) [44][ 60/1879] lr: 9.9592e-02 eta: 2 days, 8:48:47 time: 0.4805 data_time: 0.0385 memory: 18108 grad_norm: 2.9099 loss: 5.0600 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.0564 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 2.0036 2023/01/31 20:43:13 - mmengine - INFO - Epoch(train) [44][ 80/1879] lr: 9.9591e-02 eta: 2 days, 8:48:36 time: 0.5069 data_time: 0.0402 memory: 18108 grad_norm: 2.8341 loss: 4.6798 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7241 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.9557 2023/01/31 20:43:22 - mmengine - INFO - Epoch(train) [44][ 100/1879] lr: 9.9590e-02 eta: 2 days, 8:48:22 time: 0.4727 data_time: 0.0375 memory: 18108 grad_norm: 2.9097 loss: 4.7203 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7534 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.9668 2023/01/31 20:43:32 - mmengine - INFO - Epoch(train) [44][ 120/1879] lr: 9.9589e-02 eta: 2 days, 8:48:08 time: 0.4746 data_time: 0.0434 memory: 18108 grad_norm: 2.8992 loss: 4.6811 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6817 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.9994 2023/01/31 20:43:42 - mmengine - INFO - Epoch(train) [44][ 140/1879] lr: 9.9588e-02 eta: 2 days, 8:47:57 time: 0.4959 data_time: 0.0374 memory: 18108 grad_norm: 2.8834 loss: 4.7229 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 2.7684 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.9545 2023/01/31 20:43:52 - mmengine - INFO - Epoch(train) [44][ 160/1879] lr: 9.9587e-02 eta: 2 days, 8:47:44 time: 0.4872 data_time: 0.0405 memory: 18108 grad_norm: 2.9069 loss: 4.8042 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9106 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.8936 2023/01/31 20:44:01 - mmengine - INFO - Epoch(train) [44][ 180/1879] lr: 9.9586e-02 eta: 2 days, 8:47:31 time: 0.4820 data_time: 0.0362 memory: 18108 grad_norm: 2.8567 loss: 4.7790 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8597 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9193 2023/01/31 20:44:11 - mmengine - INFO - Epoch(train) [44][ 200/1879] lr: 9.9585e-02 eta: 2 days, 8:47:17 time: 0.4710 data_time: 0.0329 memory: 18108 grad_norm: 2.9121 loss: 4.7403 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8023 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.9380 2023/01/31 20:44:12 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 20:44:20 - mmengine - INFO - Epoch(train) [44][ 220/1879] lr: 9.9584e-02 eta: 2 days, 8:47:04 time: 0.4889 data_time: 0.0364 memory: 18108 grad_norm: 2.9534 loss: 4.7465 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8269 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9196 2023/01/31 20:44:30 - mmengine - INFO - Epoch(train) [44][ 240/1879] lr: 9.9584e-02 eta: 2 days, 8:46:51 time: 0.4814 data_time: 0.0417 memory: 18108 grad_norm: 2.9444 loss: 4.6028 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6320 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.9709 2023/01/31 20:44:40 - mmengine - INFO - Epoch(train) [44][ 260/1879] lr: 9.9583e-02 eta: 2 days, 8:46:38 time: 0.4782 data_time: 0.0374 memory: 18108 grad_norm: 2.9693 loss: 4.7246 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7269 top1_acc_1: 0.5059 top5_acc_1: 0.8235 loss_cls_1: 1.9976 2023/01/31 20:44:49 - mmengine - INFO - Epoch(train) [44][ 280/1879] lr: 9.9582e-02 eta: 2 days, 8:46:25 time: 0.4827 data_time: 0.0323 memory: 18108 grad_norm: 2.8976 loss: 4.8590 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 2.8628 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.9962 2023/01/31 20:44:59 - mmengine - INFO - Epoch(train) [44][ 300/1879] lr: 9.9581e-02 eta: 2 days, 8:46:12 time: 0.4869 data_time: 0.0431 memory: 18108 grad_norm: 2.8512 loss: 4.8319 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8693 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9625 2023/01/31 20:45:08 - mmengine - INFO - Epoch(train) [44][ 320/1879] lr: 9.9580e-02 eta: 2 days, 8:45:58 time: 0.4726 data_time: 0.0333 memory: 18108 grad_norm: 2.8243 loss: 4.8241 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.8139 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 2.0102 2023/01/31 20:45:18 - mmengine - INFO - Epoch(train) [44][ 340/1879] lr: 9.9579e-02 eta: 2 days, 8:45:47 time: 0.4999 data_time: 0.0357 memory: 18108 grad_norm: 2.9221 loss: 4.4803 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.4659 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 2.0144 2023/01/31 20:45:28 - mmengine - INFO - Epoch(train) [44][ 360/1879] lr: 9.9578e-02 eta: 2 days, 8:45:33 time: 0.4714 data_time: 0.0340 memory: 18108 grad_norm: 3.0285 loss: 4.6395 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7411 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8984 2023/01/31 20:45:38 - mmengine - INFO - Epoch(train) [44][ 380/1879] lr: 9.9577e-02 eta: 2 days, 8:45:21 time: 0.4931 data_time: 0.0381 memory: 18108 grad_norm: 2.9495 loss: 4.7590 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.7127 top1_acc_1: 0.4118 top5_acc_1: 0.6941 loss_cls_1: 2.0463 2023/01/31 20:45:47 - mmengine - INFO - Epoch(train) [44][ 400/1879] lr: 9.9576e-02 eta: 2 days, 8:45:08 time: 0.4847 data_time: 0.0407 memory: 18108 grad_norm: 2.9118 loss: 4.5566 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5080 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0485 2023/01/31 20:45:57 - mmengine - INFO - Epoch(train) [44][ 420/1879] lr: 9.9575e-02 eta: 2 days, 8:44:57 time: 0.5002 data_time: 0.0364 memory: 18108 grad_norm: 2.9445 loss: 4.4435 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4616 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9819 2023/01/31 20:46:07 - mmengine - INFO - Epoch(train) [44][ 440/1879] lr: 9.9574e-02 eta: 2 days, 8:44:44 time: 0.4826 data_time: 0.0364 memory: 18108 grad_norm: 2.9445 loss: 4.7272 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6901 top1_acc_1: 0.4941 top5_acc_1: 0.6706 loss_cls_1: 2.0371 2023/01/31 20:46:17 - mmengine - INFO - Epoch(train) [44][ 460/1879] lr: 9.9573e-02 eta: 2 days, 8:44:33 time: 0.5039 data_time: 0.0350 memory: 18108 grad_norm: 2.9424 loss: 4.8460 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.8238 top1_acc_1: 0.4235 top5_acc_1: 0.7412 loss_cls_1: 2.0222 2023/01/31 20:46:27 - mmengine - INFO - Epoch(train) [44][ 480/1879] lr: 9.9572e-02 eta: 2 days, 8:44:20 time: 0.4853 data_time: 0.0401 memory: 18108 grad_norm: 2.9063 loss: 4.7544 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7417 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 2.0127 2023/01/31 20:46:37 - mmengine - INFO - Epoch(train) [44][ 500/1879] lr: 9.9571e-02 eta: 2 days, 8:44:08 time: 0.4887 data_time: 0.0349 memory: 18108 grad_norm: 2.9411 loss: 4.5764 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5910 top1_acc_1: 0.4824 top5_acc_1: 0.8471 loss_cls_1: 1.9854 2023/01/31 20:46:46 - mmengine - INFO - Epoch(train) [44][ 520/1879] lr: 9.9570e-02 eta: 2 days, 8:43:54 time: 0.4775 data_time: 0.0329 memory: 18108 grad_norm: 2.9556 loss: 4.7807 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8061 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.9745 2023/01/31 20:46:56 - mmengine - INFO - Epoch(train) [44][ 540/1879] lr: 9.9569e-02 eta: 2 days, 8:43:44 time: 0.5115 data_time: 0.0358 memory: 18108 grad_norm: 2.9555 loss: 4.5255 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5792 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.9463 2023/01/31 20:47:06 - mmengine - INFO - Epoch(train) [44][ 560/1879] lr: 9.9568e-02 eta: 2 days, 8:43:31 time: 0.4792 data_time: 0.0331 memory: 18108 grad_norm: 2.9622 loss: 4.8465 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7935 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 2.0530 2023/01/31 20:47:16 - mmengine - INFO - Epoch(train) [44][ 580/1879] lr: 9.9567e-02 eta: 2 days, 8:43:19 time: 0.4943 data_time: 0.0363 memory: 18108 grad_norm: 2.9081 loss: 4.8302 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8913 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9389 2023/01/31 20:47:26 - mmengine - INFO - Epoch(train) [44][ 600/1879] lr: 9.9566e-02 eta: 2 days, 8:43:05 time: 0.4772 data_time: 0.0351 memory: 18108 grad_norm: 2.9512 loss: 4.6176 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6340 top1_acc_1: 0.4471 top5_acc_1: 0.7882 loss_cls_1: 1.9836 2023/01/31 20:47:36 - mmengine - INFO - Epoch(train) [44][ 620/1879] lr: 9.9565e-02 eta: 2 days, 8:42:55 time: 0.5159 data_time: 0.0354 memory: 18108 grad_norm: 2.9159 loss: 4.7279 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7721 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.9559 2023/01/31 20:47:45 - mmengine - INFO - Epoch(train) [44][ 640/1879] lr: 9.9564e-02 eta: 2 days, 8:42:41 time: 0.4727 data_time: 0.0323 memory: 18108 grad_norm: 2.9276 loss: 4.7195 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6912 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0283 2023/01/31 20:47:55 - mmengine - INFO - Epoch(train) [44][ 660/1879] lr: 9.9563e-02 eta: 2 days, 8:42:30 time: 0.4959 data_time: 0.0382 memory: 18108 grad_norm: 2.8573 loss: 4.6962 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.7730 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.9232 2023/01/31 20:48:05 - mmengine - INFO - Epoch(train) [44][ 680/1879] lr: 9.9562e-02 eta: 2 days, 8:42:18 time: 0.4953 data_time: 0.0328 memory: 18108 grad_norm: 2.9285 loss: 4.6580 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6273 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 2.0307 2023/01/31 20:48:15 - mmengine - INFO - Epoch(train) [44][ 700/1879] lr: 9.9561e-02 eta: 2 days, 8:42:08 time: 0.5090 data_time: 0.0362 memory: 18108 grad_norm: 2.9005 loss: 4.8598 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7626 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 2.0972 2023/01/31 20:48:25 - mmengine - INFO - Epoch(train) [44][ 720/1879] lr: 9.9560e-02 eta: 2 days, 8:41:55 time: 0.4863 data_time: 0.0337 memory: 18108 grad_norm: 2.8585 loss: 4.6116 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.6224 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 1.9892 2023/01/31 20:48:35 - mmengine - INFO - Epoch(train) [44][ 740/1879] lr: 9.9559e-02 eta: 2 days, 8:41:45 time: 0.5144 data_time: 0.0351 memory: 18108 grad_norm: 2.9611 loss: 4.5877 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.6546 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9331 2023/01/31 20:48:45 - mmengine - INFO - Epoch(train) [44][ 760/1879] lr: 9.9558e-02 eta: 2 days, 8:41:33 time: 0.4906 data_time: 0.0392 memory: 18108 grad_norm: 2.9301 loss: 4.6724 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6855 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9869 2023/01/31 20:48:55 - mmengine - INFO - Epoch(train) [44][ 780/1879] lr: 9.9557e-02 eta: 2 days, 8:41:23 time: 0.5105 data_time: 0.0348 memory: 18108 grad_norm: 2.8523 loss: 4.7632 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7440 top1_acc_1: 0.5294 top5_acc_1: 0.6824 loss_cls_1: 2.0192 2023/01/31 20:49:05 - mmengine - INFO - Epoch(train) [44][ 800/1879] lr: 9.9556e-02 eta: 2 days, 8:41:12 time: 0.5023 data_time: 0.0332 memory: 18108 grad_norm: 2.9241 loss: 4.6522 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7758 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.8764 2023/01/31 20:49:16 - mmengine - INFO - Epoch(train) [44][ 820/1879] lr: 9.9555e-02 eta: 2 days, 8:41:01 time: 0.5087 data_time: 0.0357 memory: 18108 grad_norm: 2.8678 loss: 4.9173 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8933 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 2.0241 2023/01/31 20:49:26 - mmengine - INFO - Epoch(train) [44][ 840/1879] lr: 9.9554e-02 eta: 2 days, 8:40:50 time: 0.5030 data_time: 0.0422 memory: 18108 grad_norm: 2.9230 loss: 4.7535 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6925 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 2.0611 2023/01/31 20:49:36 - mmengine - INFO - Epoch(train) [44][ 860/1879] lr: 9.9553e-02 eta: 2 days, 8:40:39 time: 0.5062 data_time: 0.0362 memory: 18108 grad_norm: 2.8870 loss: 4.8736 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.9315 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 1.9421 2023/01/31 20:49:46 - mmengine - INFO - Epoch(train) [44][ 880/1879] lr: 9.9552e-02 eta: 2 days, 8:40:28 time: 0.4952 data_time: 0.0322 memory: 18108 grad_norm: 2.8750 loss: 4.5963 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.5827 top1_acc_1: 0.4588 top5_acc_1: 0.7294 loss_cls_1: 2.0135 2023/01/31 20:49:56 - mmengine - INFO - Epoch(train) [44][ 900/1879] lr: 9.9551e-02 eta: 2 days, 8:40:17 time: 0.5033 data_time: 0.0363 memory: 18108 grad_norm: 2.9515 loss: 4.6401 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7655 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.8746 2023/01/31 20:50:06 - mmengine - INFO - Epoch(train) [44][ 920/1879] lr: 9.9550e-02 eta: 2 days, 8:40:05 time: 0.4986 data_time: 0.0413 memory: 18108 grad_norm: 2.8312 loss: 4.8917 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.9214 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9703 2023/01/31 20:50:16 - mmengine - INFO - Epoch(train) [44][ 940/1879] lr: 9.9549e-02 eta: 2 days, 8:39:55 time: 0.5144 data_time: 0.0346 memory: 18108 grad_norm: 2.8798 loss: 4.7563 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 2.8021 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.9543 2023/01/31 20:50:26 - mmengine - INFO - Epoch(train) [44][ 960/1879] lr: 9.9548e-02 eta: 2 days, 8:39:43 time: 0.4854 data_time: 0.0328 memory: 18108 grad_norm: 2.9131 loss: 4.5275 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6513 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.8762 2023/01/31 20:50:36 - mmengine - INFO - Epoch(train) [44][ 980/1879] lr: 9.9547e-02 eta: 2 days, 8:39:33 time: 0.5134 data_time: 0.0346 memory: 18108 grad_norm: 2.9350 loss: 4.7215 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7113 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 2.0102 2023/01/31 20:50:46 - mmengine - INFO - Epoch(train) [44][1000/1879] lr: 9.9546e-02 eta: 2 days, 8:39:22 time: 0.5021 data_time: 0.0394 memory: 18108 grad_norm: 2.8705 loss: 4.7023 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6986 top1_acc_1: 0.4471 top5_acc_1: 0.6471 loss_cls_1: 2.0036 2023/01/31 20:50:56 - mmengine - INFO - Epoch(train) [44][1020/1879] lr: 9.9545e-02 eta: 2 days, 8:39:10 time: 0.4967 data_time: 0.0358 memory: 18108 grad_norm: 2.8873 loss: 4.4888 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4963 top1_acc_1: 0.4471 top5_acc_1: 0.7294 loss_cls_1: 1.9926 2023/01/31 20:51:06 - mmengine - INFO - Epoch(train) [44][1040/1879] lr: 9.9544e-02 eta: 2 days, 8:38:58 time: 0.4948 data_time: 0.0426 memory: 18108 grad_norm: 2.9256 loss: 4.6287 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 2.6511 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9776 2023/01/31 20:51:16 - mmengine - INFO - Epoch(train) [44][1060/1879] lr: 9.9543e-02 eta: 2 days, 8:38:50 time: 0.5258 data_time: 0.0344 memory: 18108 grad_norm: 2.8902 loss: 4.6549 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7417 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.9132 2023/01/31 20:51:26 - mmengine - INFO - Epoch(train) [44][1080/1879] lr: 9.9542e-02 eta: 2 days, 8:38:38 time: 0.4978 data_time: 0.0392 memory: 18108 grad_norm: 2.8337 loss: 4.5766 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6486 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.9280 2023/01/31 20:51:38 - mmengine - INFO - Epoch(train) [44][1100/1879] lr: 9.9541e-02 eta: 2 days, 8:38:32 time: 0.5571 data_time: 0.1008 memory: 18108 grad_norm: 2.8948 loss: 4.7329 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7668 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.9661 2023/01/31 20:51:48 - mmengine - INFO - Epoch(train) [44][1120/1879] lr: 9.9540e-02 eta: 2 days, 8:38:22 time: 0.5074 data_time: 0.0334 memory: 18108 grad_norm: 2.8991 loss: 4.5970 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5590 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 2.0380 2023/01/31 20:51:58 - mmengine - INFO - Epoch(train) [44][1140/1879] lr: 9.9539e-02 eta: 2 days, 8:38:11 time: 0.5014 data_time: 0.0348 memory: 18108 grad_norm: 2.9002 loss: 4.7243 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6958 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 2.0286 2023/01/31 20:52:08 - mmengine - INFO - Epoch(train) [44][1160/1879] lr: 9.9538e-02 eta: 2 days, 8:38:00 time: 0.5046 data_time: 0.0329 memory: 18108 grad_norm: 2.9049 loss: 4.8227 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7339 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.0888 2023/01/31 20:52:18 - mmengine - INFO - Epoch(train) [44][1180/1879] lr: 9.9537e-02 eta: 2 days, 8:37:49 time: 0.5089 data_time: 0.0353 memory: 18108 grad_norm: 2.8986 loss: 4.9848 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9486 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 2.0362 2023/01/31 20:52:28 - mmengine - INFO - Epoch(train) [44][1200/1879] lr: 9.9536e-02 eta: 2 days, 8:37:38 time: 0.5005 data_time: 0.0338 memory: 18108 grad_norm: 2.9357 loss: 4.9149 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.9664 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.9486 2023/01/31 20:52:30 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 20:52:38 - mmengine - INFO - Epoch(train) [44][1220/1879] lr: 9.9535e-02 eta: 2 days, 8:37:28 time: 0.5082 data_time: 0.0397 memory: 18108 grad_norm: 2.8678 loss: 4.9095 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.7705 top1_acc_1: 0.4000 top5_acc_1: 0.7059 loss_cls_1: 2.1390 2023/01/31 20:52:48 - mmengine - INFO - Epoch(train) [44][1240/1879] lr: 9.9534e-02 eta: 2 days, 8:37:15 time: 0.4884 data_time: 0.0329 memory: 18108 grad_norm: 2.9287 loss: 4.9999 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9480 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.0520 2023/01/31 20:52:58 - mmengine - INFO - Epoch(train) [44][1260/1879] lr: 9.9533e-02 eta: 2 days, 8:37:06 time: 0.5158 data_time: 0.0338 memory: 18108 grad_norm: 2.8973 loss: 4.6310 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6737 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9574 2023/01/31 20:53:08 - mmengine - INFO - Epoch(train) [44][1280/1879] lr: 9.9532e-02 eta: 2 days, 8:36:53 time: 0.4884 data_time: 0.0331 memory: 18108 grad_norm: 2.8678 loss: 4.4705 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5398 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.9307 2023/01/31 20:53:18 - mmengine - INFO - Epoch(train) [44][1300/1879] lr: 9.9531e-02 eta: 2 days, 8:36:43 time: 0.5101 data_time: 0.0419 memory: 18108 grad_norm: 2.9496 loss: 4.6522 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.6852 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.9670 2023/01/31 20:53:28 - mmengine - INFO - Epoch(train) [44][1320/1879] lr: 9.9529e-02 eta: 2 days, 8:36:32 time: 0.5021 data_time: 0.0336 memory: 18108 grad_norm: 2.9437 loss: 4.9282 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9362 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.9921 2023/01/31 20:53:39 - mmengine - INFO - Epoch(train) [44][1340/1879] lr: 9.9528e-02 eta: 2 days, 8:36:22 time: 0.5149 data_time: 0.0346 memory: 18108 grad_norm: 2.8920 loss: 4.9556 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.9498 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.0058 2023/01/31 20:53:49 - mmengine - INFO - Epoch(train) [44][1360/1879] lr: 9.9527e-02 eta: 2 days, 8:36:11 time: 0.5073 data_time: 0.0342 memory: 18108 grad_norm: 2.8841 loss: 4.7354 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7789 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.9565 2023/01/31 20:53:59 - mmengine - INFO - Epoch(train) [44][1380/1879] lr: 9.9526e-02 eta: 2 days, 8:36:03 time: 0.5291 data_time: 0.0407 memory: 18108 grad_norm: 2.8989 loss: 4.8944 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8929 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0015 2023/01/31 20:54:09 - mmengine - INFO - Epoch(train) [44][1400/1879] lr: 9.9525e-02 eta: 2 days, 8:35:52 time: 0.5036 data_time: 0.0332 memory: 18108 grad_norm: 2.9167 loss: 4.6282 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.5227 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.1056 2023/01/31 20:54:20 - mmengine - INFO - Epoch(train) [44][1420/1879] lr: 9.9524e-02 eta: 2 days, 8:35:42 time: 0.5145 data_time: 0.0340 memory: 18108 grad_norm: 2.9085 loss: 4.7479 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.7569 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.9911 2023/01/31 20:54:30 - mmengine - INFO - Epoch(train) [44][1440/1879] lr: 9.9523e-02 eta: 2 days, 8:35:33 time: 0.5193 data_time: 0.0336 memory: 18108 grad_norm: 2.9327 loss: 4.9029 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7574 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.1456 2023/01/31 20:54:40 - mmengine - INFO - Epoch(train) [44][1460/1879] lr: 9.9522e-02 eta: 2 days, 8:35:21 time: 0.4994 data_time: 0.0338 memory: 18108 grad_norm: 2.8658 loss: 4.5504 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.6405 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9099 2023/01/31 20:54:50 - mmengine - INFO - Epoch(train) [44][1480/1879] lr: 9.9521e-02 eta: 2 days, 8:35:11 time: 0.5085 data_time: 0.0354 memory: 18108 grad_norm: 2.9058 loss: 4.7259 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.6695 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 2.0564 2023/01/31 20:55:01 - mmengine - INFO - Epoch(train) [44][1500/1879] lr: 9.9520e-02 eta: 2 days, 8:35:02 time: 0.5219 data_time: 0.0354 memory: 18108 grad_norm: 2.9071 loss: 4.5339 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5541 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9797 2023/01/31 20:55:11 - mmengine - INFO - Epoch(train) [44][1520/1879] lr: 9.9519e-02 eta: 2 days, 8:34:50 time: 0.4956 data_time: 0.0324 memory: 18108 grad_norm: 2.9401 loss: 5.0624 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9552 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 2.1072 2023/01/31 20:55:21 - mmengine - INFO - Epoch(train) [44][1540/1879] lr: 9.9518e-02 eta: 2 days, 8:34:40 time: 0.5106 data_time: 0.0400 memory: 18108 grad_norm: 2.9047 loss: 4.6003 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.7375 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.8628 2023/01/31 20:55:31 - mmengine - INFO - Epoch(train) [44][1560/1879] lr: 9.9517e-02 eta: 2 days, 8:34:29 time: 0.5048 data_time: 0.0317 memory: 18108 grad_norm: 2.8636 loss: 4.7238 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7996 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.9242 2023/01/31 20:55:42 - mmengine - INFO - Epoch(train) [44][1580/1879] lr: 9.9516e-02 eta: 2 days, 8:34:20 time: 0.5272 data_time: 0.0333 memory: 18108 grad_norm: 2.8790 loss: 4.7628 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7525 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 2.0103 2023/01/31 20:55:52 - mmengine - INFO - Epoch(train) [44][1600/1879] lr: 9.9515e-02 eta: 2 days, 8:34:09 time: 0.4990 data_time: 0.0352 memory: 18108 grad_norm: 2.8633 loss: 4.8227 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8459 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9768 2023/01/31 20:56:02 - mmengine - INFO - Epoch(train) [44][1620/1879] lr: 9.9514e-02 eta: 2 days, 8:33:59 time: 0.5162 data_time: 0.0412 memory: 18108 grad_norm: 2.9296 loss: 4.5958 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4654 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 2.1305 2023/01/31 20:56:12 - mmengine - INFO - Epoch(train) [44][1640/1879] lr: 9.9513e-02 eta: 2 days, 8:33:49 time: 0.5105 data_time: 0.0325 memory: 18108 grad_norm: 2.9004 loss: 4.8340 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.9116 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9225 2023/01/31 20:56:22 - mmengine - INFO - Epoch(train) [44][1660/1879] lr: 9.9512e-02 eta: 2 days, 8:33:39 time: 0.5147 data_time: 0.0328 memory: 18108 grad_norm: 2.8985 loss: 4.8326 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.8423 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9903 2023/01/31 20:56:33 - mmengine - INFO - Epoch(train) [44][1680/1879] lr: 9.9511e-02 eta: 2 days, 8:33:31 time: 0.5264 data_time: 0.0385 memory: 18108 grad_norm: 2.8741 loss: 4.8639 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8303 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 2.0336 2023/01/31 20:56:43 - mmengine - INFO - Epoch(train) [44][1700/1879] lr: 9.9510e-02 eta: 2 days, 8:33:21 time: 0.5204 data_time: 0.0318 memory: 18108 grad_norm: 2.8734 loss: 4.7824 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8198 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.9626 2023/01/31 20:56:54 - mmengine - INFO - Epoch(train) [44][1720/1879] lr: 9.9509e-02 eta: 2 days, 8:33:11 time: 0.5141 data_time: 0.0330 memory: 18108 grad_norm: 2.9031 loss: 4.8617 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.7945 top1_acc_1: 0.4941 top5_acc_1: 0.6706 loss_cls_1: 2.0672 2023/01/31 20:57:04 - mmengine - INFO - Epoch(train) [44][1740/1879] lr: 9.9508e-02 eta: 2 days, 8:33:01 time: 0.5106 data_time: 0.0358 memory: 18108 grad_norm: 2.8766 loss: 4.7762 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7934 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.9828 2023/01/31 20:57:14 - mmengine - INFO - Epoch(train) [44][1760/1879] lr: 9.9507e-02 eta: 2 days, 8:32:52 time: 0.5198 data_time: 0.0329 memory: 18108 grad_norm: 2.8640 loss: 4.9540 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7759 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 2.1780 2023/01/31 20:57:25 - mmengine - INFO - Epoch(train) [44][1780/1879] lr: 9.9505e-02 eta: 2 days, 8:32:42 time: 0.5204 data_time: 0.0340 memory: 18108 grad_norm: 2.9431 loss: 4.6041 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5967 top1_acc_1: 0.4824 top5_acc_1: 0.8000 loss_cls_1: 2.0074 2023/01/31 20:57:35 - mmengine - INFO - Epoch(train) [44][1800/1879] lr: 9.9504e-02 eta: 2 days, 8:32:33 time: 0.5205 data_time: 0.0319 memory: 18108 grad_norm: 2.8981 loss: 4.7294 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8227 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.9067 2023/01/31 20:57:45 - mmengine - INFO - Epoch(train) [44][1820/1879] lr: 9.9503e-02 eta: 2 days, 8:32:23 time: 0.5121 data_time: 0.0376 memory: 18108 grad_norm: 2.9075 loss: 4.6697 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.6884 top1_acc_1: 0.4000 top5_acc_1: 0.6235 loss_cls_1: 1.9812 2023/01/31 20:57:55 - mmengine - INFO - Epoch(train) [44][1840/1879] lr: 9.9502e-02 eta: 2 days, 8:32:12 time: 0.5068 data_time: 0.0392 memory: 18108 grad_norm: 2.8893 loss: 4.6283 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6678 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.9605 2023/01/31 20:58:06 - mmengine - INFO - Epoch(train) [44][1860/1879] lr: 9.9501e-02 eta: 2 days, 8:32:03 time: 0.5179 data_time: 0.0346 memory: 18108 grad_norm: 2.9446 loss: 4.8936 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.9329 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9607 2023/01/31 20:58:15 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 20:58:15 - mmengine - INFO - Epoch(train) [44][1879/1879] lr: 9.9500e-02 eta: 2 days, 8:31:51 time: 0.4819 data_time: 0.0269 memory: 18108 grad_norm: 2.9789 loss: 4.7636 top1_acc_0: 0.2857 top5_acc_0: 0.5714 loss_cls_0: 2.7824 top1_acc_1: 0.5176 top5_acc_1: 0.8353 loss_cls_1: 1.9812 2023/01/31 20:58:16 - mmengine - INFO - Saving checkpoint at 44 epochs 2023/01/31 20:58:26 - mmengine - INFO - Epoch(val) [44][ 20/155] eta: 0:01:01 time: 0.4556 data_time: 0.3424 memory: 1906 2023/01/31 20:58:35 - mmengine - INFO - Epoch(val) [44][ 40/155] eta: 0:00:51 time: 0.4426 data_time: 0.3317 memory: 1906 2023/01/31 20:58:44 - mmengine - INFO - Epoch(val) [44][ 60/155] eta: 0:00:42 time: 0.4318 data_time: 0.3205 memory: 1906 2023/01/31 20:58:53 - mmengine - INFO - Epoch(val) [44][ 80/155] eta: 0:00:33 time: 0.4617 data_time: 0.3504 memory: 1906 2023/01/31 20:59:02 - mmengine - INFO - Epoch(val) [44][100/155] eta: 0:00:24 time: 0.4480 data_time: 0.3325 memory: 1906 2023/01/31 20:59:11 - mmengine - INFO - Epoch(val) [44][120/155] eta: 0:00:15 time: 0.4472 data_time: 0.3352 memory: 1906 2023/01/31 20:59:19 - mmengine - INFO - Epoch(val) [44][140/155] eta: 0:00:06 time: 0.4402 data_time: 0.3294 memory: 1906 2023/01/31 20:59:27 - mmengine - INFO - Epoch(val) [44][155/155] acc/top1: 0.4182 acc/top5: 0.6809 acc/mean1: 0.4182 2023/01/31 20:59:42 - mmengine - INFO - Epoch(train) [45][ 20/1879] lr: 9.9499e-02 eta: 2 days, 8:32:00 time: 0.7138 data_time: 0.2600 memory: 18108 grad_norm: 2.8540 loss: 4.7071 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7389 top1_acc_1: 0.6118 top5_acc_1: 0.7412 loss_cls_1: 1.9682 2023/01/31 20:59:51 - mmengine - INFO - Epoch(train) [45][ 40/1879] lr: 9.9498e-02 eta: 2 days, 8:31:47 time: 0.4800 data_time: 0.0348 memory: 18108 grad_norm: 2.9057 loss: 4.9100 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.9629 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9471 2023/01/31 21:00:01 - mmengine - INFO - Epoch(train) [45][ 60/1879] lr: 9.9497e-02 eta: 2 days, 8:31:34 time: 0.4863 data_time: 0.0320 memory: 18108 grad_norm: 2.9066 loss: 4.6125 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6388 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9737 2023/01/31 21:00:12 - mmengine - INFO - Epoch(train) [45][ 80/1879] lr: 9.9496e-02 eta: 2 days, 8:31:26 time: 0.5319 data_time: 0.0377 memory: 18108 grad_norm: 2.9234 loss: 4.6656 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.6746 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 1.9910 2023/01/31 21:00:21 - mmengine - INFO - Epoch(train) [45][ 100/1879] lr: 9.9495e-02 eta: 2 days, 8:31:13 time: 0.4814 data_time: 0.0300 memory: 18108 grad_norm: 2.8984 loss: 4.5845 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7291 top1_acc_1: 0.4588 top5_acc_1: 0.8471 loss_cls_1: 1.8554 2023/01/31 21:00:31 - mmengine - INFO - Epoch(train) [45][ 120/1879] lr: 9.9494e-02 eta: 2 days, 8:30:59 time: 0.4717 data_time: 0.0364 memory: 18108 grad_norm: 2.8573 loss: 4.6877 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7811 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 1.9066 2023/01/31 21:00:41 - mmengine - INFO - Epoch(train) [45][ 140/1879] lr: 9.9493e-02 eta: 2 days, 8:30:49 time: 0.5120 data_time: 0.0337 memory: 18108 grad_norm: 2.9009 loss: 4.8005 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8588 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.9417 2023/01/31 21:00:51 - mmengine - INFO - Epoch(train) [45][ 160/1879] lr: 9.9492e-02 eta: 2 days, 8:30:36 time: 0.4798 data_time: 0.0371 memory: 18108 grad_norm: 2.9044 loss: 4.5467 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6757 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.8710 2023/01/31 21:01:00 - mmengine - INFO - Epoch(train) [45][ 180/1879] lr: 9.9491e-02 eta: 2 days, 8:30:23 time: 0.4822 data_time: 0.0324 memory: 18108 grad_norm: 2.8749 loss: 4.7158 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7012 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.0146 2023/01/31 21:01:10 - mmengine - INFO - Epoch(train) [45][ 200/1879] lr: 9.9490e-02 eta: 2 days, 8:30:09 time: 0.4719 data_time: 0.0332 memory: 18108 grad_norm: 2.9042 loss: 4.7173 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7724 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 1.9449 2023/01/31 21:01:20 - mmengine - INFO - Epoch(train) [45][ 220/1879] lr: 9.9488e-02 eta: 2 days, 8:29:58 time: 0.5067 data_time: 0.0307 memory: 18108 grad_norm: 2.9405 loss: 4.7744 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7300 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 2.0444 2023/01/31 21:01:29 - mmengine - INFO - Epoch(train) [45][ 240/1879] lr: 9.9487e-02 eta: 2 days, 8:29:44 time: 0.4725 data_time: 0.0349 memory: 18108 grad_norm: 2.9380 loss: 4.7056 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7398 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.9658 2023/01/31 21:01:39 - mmengine - INFO - Epoch(train) [45][ 260/1879] lr: 9.9486e-02 eta: 2 days, 8:29:32 time: 0.4894 data_time: 0.0310 memory: 18108 grad_norm: 2.9319 loss: 4.7391 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7506 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9886 2023/01/31 21:01:49 - mmengine - INFO - Epoch(train) [45][ 280/1879] lr: 9.9485e-02 eta: 2 days, 8:29:22 time: 0.5137 data_time: 0.0413 memory: 18108 grad_norm: 2.9873 loss: 4.8221 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8490 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.9731 2023/01/31 21:01:59 - mmengine - INFO - Epoch(train) [45][ 300/1879] lr: 9.9484e-02 eta: 2 days, 8:29:11 time: 0.4980 data_time: 0.0369 memory: 18108 grad_norm: 2.8855 loss: 4.7527 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7847 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 1.9680 2023/01/31 21:02:09 - mmengine - INFO - Epoch(train) [45][ 320/1879] lr: 9.9483e-02 eta: 2 days, 8:28:58 time: 0.4853 data_time: 0.0355 memory: 18108 grad_norm: 2.9147 loss: 4.7189 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7397 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.9792 2023/01/31 21:02:11 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 21:02:19 - mmengine - INFO - Epoch(train) [45][ 340/1879] lr: 9.9482e-02 eta: 2 days, 8:28:47 time: 0.5007 data_time: 0.0328 memory: 18108 grad_norm: 2.9980 loss: 4.8780 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8985 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.9795 2023/01/31 21:02:29 - mmengine - INFO - Epoch(train) [45][ 360/1879] lr: 9.9481e-02 eta: 2 days, 8:28:36 time: 0.5039 data_time: 0.0342 memory: 18108 grad_norm: 2.9290 loss: 5.0146 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 3.0498 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.9649 2023/01/31 21:02:39 - mmengine - INFO - Epoch(train) [45][ 380/1879] lr: 9.9480e-02 eta: 2 days, 8:28:24 time: 0.4936 data_time: 0.0333 memory: 18108 grad_norm: 2.8924 loss: 4.6111 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6107 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.0004 2023/01/31 21:02:49 - mmengine - INFO - Epoch(train) [45][ 400/1879] lr: 9.9479e-02 eta: 2 days, 8:28:11 time: 0.4826 data_time: 0.0342 memory: 18108 grad_norm: 2.8903 loss: 4.6919 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6874 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0045 2023/01/31 21:02:59 - mmengine - INFO - Epoch(train) [45][ 420/1879] lr: 9.9478e-02 eta: 2 days, 8:28:01 time: 0.5122 data_time: 0.0332 memory: 18108 grad_norm: 2.8872 loss: 4.6451 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6453 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.9998 2023/01/31 21:03:09 - mmengine - INFO - Epoch(train) [45][ 440/1879] lr: 9.9477e-02 eta: 2 days, 8:27:49 time: 0.4922 data_time: 0.0427 memory: 18108 grad_norm: 2.8980 loss: 4.9221 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.9166 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 2.0055 2023/01/31 21:03:19 - mmengine - INFO - Epoch(train) [45][ 460/1879] lr: 9.9476e-02 eta: 2 days, 8:27:37 time: 0.4936 data_time: 0.0332 memory: 18108 grad_norm: 2.9166 loss: 4.6757 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7127 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.9630 2023/01/31 21:03:29 - mmengine - INFO - Epoch(train) [45][ 480/1879] lr: 9.9474e-02 eta: 2 days, 8:27:25 time: 0.4915 data_time: 0.0353 memory: 18108 grad_norm: 2.8653 loss: 4.6432 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.6362 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.0070 2023/01/31 21:03:39 - mmengine - INFO - Epoch(train) [45][ 500/1879] lr: 9.9473e-02 eta: 2 days, 8:27:14 time: 0.5004 data_time: 0.0423 memory: 18108 grad_norm: 2.9445 loss: 4.7842 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.8457 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.9385 2023/01/31 21:03:48 - mmengine - INFO - Epoch(train) [45][ 520/1879] lr: 9.9472e-02 eta: 2 days, 8:27:02 time: 0.4955 data_time: 0.0461 memory: 18108 grad_norm: 2.9274 loss: 4.7267 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7366 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9901 2023/01/31 21:03:59 - mmengine - INFO - Epoch(train) [45][ 540/1879] lr: 9.9471e-02 eta: 2 days, 8:26:51 time: 0.5044 data_time: 0.0334 memory: 18108 grad_norm: 2.8871 loss: 4.4959 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5361 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.9598 2023/01/31 21:04:08 - mmengine - INFO - Epoch(train) [45][ 560/1879] lr: 9.9470e-02 eta: 2 days, 8:26:39 time: 0.4882 data_time: 0.0351 memory: 18108 grad_norm: 2.8720 loss: 4.6801 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7765 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.9036 2023/01/31 21:04:19 - mmengine - INFO - Epoch(train) [45][ 580/1879] lr: 9.9469e-02 eta: 2 days, 8:26:29 time: 0.5140 data_time: 0.0390 memory: 18108 grad_norm: 2.8939 loss: 4.4975 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6188 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 1.8787 2023/01/31 21:04:29 - mmengine - INFO - Epoch(train) [45][ 600/1879] lr: 9.9468e-02 eta: 2 days, 8:26:18 time: 0.5008 data_time: 0.0331 memory: 18108 grad_norm: 2.9264 loss: 4.8484 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8488 top1_acc_1: 0.4941 top5_acc_1: 0.6824 loss_cls_1: 1.9996 2023/01/31 21:04:39 - mmengine - INFO - Epoch(train) [45][ 620/1879] lr: 9.9467e-02 eta: 2 days, 8:26:07 time: 0.5059 data_time: 0.0317 memory: 18108 grad_norm: 2.8774 loss: 4.6458 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6292 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0166 2023/01/31 21:04:49 - mmengine - INFO - Epoch(train) [45][ 640/1879] lr: 9.9466e-02 eta: 2 days, 8:25:57 time: 0.5068 data_time: 0.0431 memory: 18108 grad_norm: 2.9175 loss: 4.8357 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8837 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.9521 2023/01/31 21:04:59 - mmengine - INFO - Epoch(train) [45][ 660/1879] lr: 9.9465e-02 eta: 2 days, 8:25:44 time: 0.4906 data_time: 0.0313 memory: 18108 grad_norm: 2.9589 loss: 4.8376 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8215 top1_acc_1: 0.5647 top5_acc_1: 0.7176 loss_cls_1: 2.0161 2023/01/31 21:05:09 - mmengine - INFO - Epoch(train) [45][ 680/1879] lr: 9.9463e-02 eta: 2 days, 8:25:34 time: 0.5072 data_time: 0.0323 memory: 18108 grad_norm: 2.9101 loss: 4.7334 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7067 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.0267 2023/01/31 21:05:19 - mmengine - INFO - Epoch(train) [45][ 700/1879] lr: 9.9462e-02 eta: 2 days, 8:25:22 time: 0.4926 data_time: 0.0317 memory: 18108 grad_norm: 2.9077 loss: 4.9300 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8124 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 2.1176 2023/01/31 21:05:29 - mmengine - INFO - Epoch(train) [45][ 720/1879] lr: 9.9461e-02 eta: 2 days, 8:25:11 time: 0.5044 data_time: 0.0407 memory: 18108 grad_norm: 2.8557 loss: 4.6366 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6579 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.9787 2023/01/31 21:05:39 - mmengine - INFO - Epoch(train) [45][ 740/1879] lr: 9.9460e-02 eta: 2 days, 8:25:00 time: 0.5016 data_time: 0.0361 memory: 18108 grad_norm: 2.8942 loss: 4.7606 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7399 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 2.0207 2023/01/31 21:05:49 - mmengine - INFO - Epoch(train) [45][ 760/1879] lr: 9.9459e-02 eta: 2 days, 8:24:49 time: 0.5054 data_time: 0.0354 memory: 18108 grad_norm: 2.9419 loss: 4.8925 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8884 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 2.0041 2023/01/31 21:05:59 - mmengine - INFO - Epoch(train) [45][ 780/1879] lr: 9.9458e-02 eta: 2 days, 8:24:39 time: 0.5086 data_time: 0.0371 memory: 18108 grad_norm: 2.8796 loss: 5.0046 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 3.0183 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.9863 2023/01/31 21:06:09 - mmengine - INFO - Epoch(train) [45][ 800/1879] lr: 9.9457e-02 eta: 2 days, 8:24:27 time: 0.4972 data_time: 0.0324 memory: 18108 grad_norm: 2.8815 loss: 4.8446 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7751 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 2.0695 2023/01/31 21:06:19 - mmengine - INFO - Epoch(train) [45][ 820/1879] lr: 9.9456e-02 eta: 2 days, 8:24:16 time: 0.4995 data_time: 0.0326 memory: 18108 grad_norm: 2.8685 loss: 4.8543 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8866 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.9677 2023/01/31 21:06:29 - mmengine - INFO - Epoch(train) [45][ 840/1879] lr: 9.9455e-02 eta: 2 days, 8:24:04 time: 0.4931 data_time: 0.0335 memory: 18108 grad_norm: 2.9128 loss: 4.5682 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5570 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 2.0113 2023/01/31 21:06:39 - mmengine - INFO - Epoch(train) [45][ 860/1879] lr: 9.9454e-02 eta: 2 days, 8:23:54 time: 0.5087 data_time: 0.0380 memory: 18108 grad_norm: 2.9816 loss: 4.9386 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.9954 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.9432 2023/01/31 21:06:49 - mmengine - INFO - Epoch(train) [45][ 880/1879] lr: 9.9452e-02 eta: 2 days, 8:23:43 time: 0.5012 data_time: 0.0359 memory: 18108 grad_norm: 2.9238 loss: 4.7668 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7603 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 2.0065 2023/01/31 21:06:59 - mmengine - INFO - Epoch(train) [45][ 900/1879] lr: 9.9451e-02 eta: 2 days, 8:23:31 time: 0.4995 data_time: 0.0348 memory: 18108 grad_norm: 2.8592 loss: 4.6993 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6654 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.0339 2023/01/31 21:07:09 - mmengine - INFO - Epoch(train) [45][ 920/1879] lr: 9.9450e-02 eta: 2 days, 8:23:21 time: 0.5107 data_time: 0.0331 memory: 18108 grad_norm: 2.8411 loss: 4.9683 top1_acc_0: 0.0625 top5_acc_0: 0.3125 loss_cls_0: 2.9579 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.0104 2023/01/31 21:07:20 - mmengine - INFO - Epoch(train) [45][ 940/1879] lr: 9.9449e-02 eta: 2 days, 8:23:11 time: 0.5115 data_time: 0.0375 memory: 18108 grad_norm: 2.9314 loss: 4.9907 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8968 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0939 2023/01/31 21:07:30 - mmengine - INFO - Epoch(train) [45][ 960/1879] lr: 9.9448e-02 eta: 2 days, 8:23:02 time: 0.5262 data_time: 0.0300 memory: 18108 grad_norm: 2.9109 loss: 5.0086 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.0064 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 2.0023 2023/01/31 21:07:40 - mmengine - INFO - Epoch(train) [45][ 980/1879] lr: 9.9447e-02 eta: 2 days, 8:22:52 time: 0.5064 data_time: 0.0415 memory: 18108 grad_norm: 2.8973 loss: 4.9611 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.9134 top1_acc_1: 0.4588 top5_acc_1: 0.7294 loss_cls_1: 2.0477 2023/01/31 21:07:51 - mmengine - INFO - Epoch(train) [45][1000/1879] lr: 9.9446e-02 eta: 2 days, 8:22:42 time: 0.5152 data_time: 0.0295 memory: 18108 grad_norm: 2.9070 loss: 4.8248 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8086 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 2.0161 2023/01/31 21:08:01 - mmengine - INFO - Epoch(train) [45][1020/1879] lr: 9.9445e-02 eta: 2 days, 8:22:32 time: 0.5165 data_time: 0.0355 memory: 18108 grad_norm: 2.8437 loss: 4.7333 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7778 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 1.9555 2023/01/31 21:08:11 - mmengine - INFO - Epoch(train) [45][1040/1879] lr: 9.9443e-02 eta: 2 days, 8:22:22 time: 0.5076 data_time: 0.0293 memory: 18108 grad_norm: 2.8540 loss: 4.8191 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7761 top1_acc_1: 0.4824 top5_acc_1: 0.7882 loss_cls_1: 2.0430 2023/01/31 21:08:21 - mmengine - INFO - Epoch(train) [45][1060/1879] lr: 9.9442e-02 eta: 2 days, 8:22:12 time: 0.5140 data_time: 0.0404 memory: 18108 grad_norm: 2.8468 loss: 4.7058 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7514 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9544 2023/01/31 21:08:32 - mmengine - INFO - Epoch(train) [45][1080/1879] lr: 9.9441e-02 eta: 2 days, 8:22:03 time: 0.5270 data_time: 0.0313 memory: 18108 grad_norm: 2.9416 loss: 4.8408 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.8362 top1_acc_1: 0.4353 top5_acc_1: 0.7294 loss_cls_1: 2.0046 2023/01/31 21:08:42 - mmengine - INFO - Epoch(train) [45][1100/1879] lr: 9.9440e-02 eta: 2 days, 8:21:53 time: 0.5157 data_time: 0.0343 memory: 18108 grad_norm: 2.9391 loss: 4.8920 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.8938 top1_acc_1: 0.5059 top5_acc_1: 0.7059 loss_cls_1: 1.9982 2023/01/31 21:08:53 - mmengine - INFO - Epoch(train) [45][1120/1879] lr: 9.9439e-02 eta: 2 days, 8:21:43 time: 0.5145 data_time: 0.0368 memory: 18108 grad_norm: 2.9255 loss: 4.9003 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9144 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.9859 2023/01/31 21:09:03 - mmengine - INFO - Epoch(train) [45][1140/1879] lr: 9.9438e-02 eta: 2 days, 8:21:34 time: 0.5194 data_time: 0.0359 memory: 18108 grad_norm: 2.9347 loss: 4.5483 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5821 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9662 2023/01/31 21:09:13 - mmengine - INFO - Epoch(train) [45][1160/1879] lr: 9.9437e-02 eta: 2 days, 8:21:24 time: 0.5192 data_time: 0.0290 memory: 18108 grad_norm: 2.9038 loss: 4.9395 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9198 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 2.0197 2023/01/31 21:09:23 - mmengine - INFO - Epoch(train) [45][1180/1879] lr: 9.9436e-02 eta: 2 days, 8:21:14 time: 0.5052 data_time: 0.0363 memory: 18108 grad_norm: 2.8530 loss: 4.8877 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9320 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.9557 2023/01/31 21:09:34 - mmengine - INFO - Epoch(train) [45][1200/1879] lr: 9.9434e-02 eta: 2 days, 8:21:05 time: 0.5259 data_time: 0.0305 memory: 18108 grad_norm: 2.8886 loss: 4.8666 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 2.8544 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.0122 2023/01/31 21:09:44 - mmengine - INFO - Epoch(train) [45][1220/1879] lr: 9.9433e-02 eta: 2 days, 8:20:55 time: 0.5138 data_time: 0.0360 memory: 18108 grad_norm: 2.8836 loss: 4.6488 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6687 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9801 2023/01/31 21:09:57 - mmengine - INFO - Epoch(train) [45][1240/1879] lr: 9.9432e-02 eta: 2 days, 8:20:55 time: 0.6190 data_time: 0.0319 memory: 18108 grad_norm: 2.9069 loss: 4.6762 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.6912 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9851 2023/01/31 21:10:07 - mmengine - INFO - Epoch(train) [45][1260/1879] lr: 9.9431e-02 eta: 2 days, 8:20:45 time: 0.5104 data_time: 0.0417 memory: 18108 grad_norm: 2.8975 loss: 4.7055 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6809 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 2.0246 2023/01/31 21:10:17 - mmengine - INFO - Epoch(train) [45][1280/1879] lr: 9.9430e-02 eta: 2 days, 8:20:36 time: 0.5288 data_time: 0.0296 memory: 18108 grad_norm: 2.8852 loss: 4.4158 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.4765 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.9392 2023/01/31 21:10:28 - mmengine - INFO - Epoch(train) [45][1300/1879] lr: 9.9429e-02 eta: 2 days, 8:20:27 time: 0.5181 data_time: 0.0346 memory: 18108 grad_norm: 2.8919 loss: 4.8247 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.7351 top1_acc_1: 0.5176 top5_acc_1: 0.6941 loss_cls_1: 2.0895 2023/01/31 21:10:38 - mmengine - INFO - Epoch(train) [45][1320/1879] lr: 9.9428e-02 eta: 2 days, 8:20:17 time: 0.5196 data_time: 0.0315 memory: 18108 grad_norm: 2.8863 loss: 4.7780 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5923 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 2.1857 2023/01/31 21:10:40 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 21:10:49 - mmengine - INFO - Epoch(train) [45][1340/1879] lr: 9.9427e-02 eta: 2 days, 8:20:08 time: 0.5215 data_time: 0.0351 memory: 18108 grad_norm: 2.9089 loss: 4.6196 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6536 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.9660 2023/01/31 21:10:59 - mmengine - INFO - Epoch(train) [45][1360/1879] lr: 9.9425e-02 eta: 2 days, 8:19:58 time: 0.5074 data_time: 0.0289 memory: 18108 grad_norm: 2.9474 loss: 4.9438 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.9444 top1_acc_1: 0.5765 top5_acc_1: 0.6706 loss_cls_1: 1.9994 2023/01/31 21:11:09 - mmengine - INFO - Epoch(train) [45][1380/1879] lr: 9.9424e-02 eta: 2 days, 8:19:48 time: 0.5207 data_time: 0.0355 memory: 18108 grad_norm: 2.9125 loss: 4.8634 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.9140 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.9494 2023/01/31 21:11:20 - mmengine - INFO - Epoch(train) [45][1400/1879] lr: 9.9423e-02 eta: 2 days, 8:19:38 time: 0.5143 data_time: 0.0391 memory: 18108 grad_norm: 2.8388 loss: 4.8338 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.7997 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0341 2023/01/31 21:11:30 - mmengine - INFO - Epoch(train) [45][1420/1879] lr: 9.9422e-02 eta: 2 days, 8:19:29 time: 0.5220 data_time: 0.0363 memory: 18108 grad_norm: 2.8705 loss: 4.6861 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6699 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 2.0162 2023/01/31 21:11:40 - mmengine - INFO - Epoch(train) [45][1440/1879] lr: 9.9421e-02 eta: 2 days, 8:19:20 time: 0.5243 data_time: 0.0328 memory: 18108 grad_norm: 2.9242 loss: 4.7443 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.6730 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.0712 2023/01/31 21:11:51 - mmengine - INFO - Epoch(train) [45][1460/1879] lr: 9.9420e-02 eta: 2 days, 8:19:11 time: 0.5233 data_time: 0.0361 memory: 18108 grad_norm: 2.9783 loss: 4.6217 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6371 top1_acc_1: 0.4471 top5_acc_1: 0.7765 loss_cls_1: 1.9845 2023/01/31 21:12:01 - mmengine - INFO - Epoch(train) [45][1480/1879] lr: 9.9419e-02 eta: 2 days, 8:19:02 time: 0.5223 data_time: 0.0279 memory: 18108 grad_norm: 2.8728 loss: 4.6810 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6882 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.9928 2023/01/31 21:12:12 - mmengine - INFO - Epoch(train) [45][1500/1879] lr: 9.9417e-02 eta: 2 days, 8:18:52 time: 0.5140 data_time: 0.0356 memory: 18108 grad_norm: 2.8598 loss: 4.6077 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6114 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.9963 2023/01/31 21:12:22 - mmengine - INFO - Epoch(train) [45][1520/1879] lr: 9.9416e-02 eta: 2 days, 8:18:43 time: 0.5191 data_time: 0.0285 memory: 18108 grad_norm: 2.9401 loss: 4.7266 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7942 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.9324 2023/01/31 21:12:32 - mmengine - INFO - Epoch(train) [45][1540/1879] lr: 9.9415e-02 eta: 2 days, 8:18:33 time: 0.5162 data_time: 0.0380 memory: 18108 grad_norm: 2.9232 loss: 4.8926 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9295 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9630 2023/01/31 21:12:43 - mmengine - INFO - Epoch(train) [45][1560/1879] lr: 9.9414e-02 eta: 2 days, 8:18:24 time: 0.5257 data_time: 0.0302 memory: 18108 grad_norm: 2.8642 loss: 4.9729 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9477 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 2.0253 2023/01/31 21:12:53 - mmengine - INFO - Epoch(train) [45][1580/1879] lr: 9.9413e-02 eta: 2 days, 8:18:15 time: 0.5178 data_time: 0.0377 memory: 18108 grad_norm: 2.9065 loss: 4.8504 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9197 top1_acc_1: 0.4941 top5_acc_1: 0.8118 loss_cls_1: 1.9307 2023/01/31 21:13:04 - mmengine - INFO - Epoch(train) [45][1600/1879] lr: 9.9412e-02 eta: 2 days, 8:18:05 time: 0.5195 data_time: 0.0400 memory: 18108 grad_norm: 2.8690 loss: 4.6259 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6744 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.9515 2023/01/31 21:13:14 - mmengine - INFO - Epoch(train) [45][1620/1879] lr: 9.9411e-02 eta: 2 days, 8:17:56 time: 0.5195 data_time: 0.0310 memory: 18108 grad_norm: 2.8922 loss: 4.7116 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7776 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.9340 2023/01/31 21:13:24 - mmengine - INFO - Epoch(train) [45][1640/1879] lr: 9.9409e-02 eta: 2 days, 8:17:45 time: 0.5067 data_time: 0.0380 memory: 18108 grad_norm: 2.8918 loss: 4.6577 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6822 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9755 2023/01/31 21:13:35 - mmengine - INFO - Epoch(train) [45][1660/1879] lr: 9.9408e-02 eta: 2 days, 8:17:38 time: 0.5399 data_time: 0.0420 memory: 18108 grad_norm: 2.8199 loss: 4.7370 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7496 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.9874 2023/01/31 21:13:46 - mmengine - INFO - Epoch(train) [45][1680/1879] lr: 9.9407e-02 eta: 2 days, 8:17:30 time: 0.5401 data_time: 0.0333 memory: 18108 grad_norm: 2.9474 loss: 4.8946 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.8721 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 2.0225 2023/01/31 21:13:56 - mmengine - INFO - Epoch(train) [45][1700/1879] lr: 9.9406e-02 eta: 2 days, 8:17:20 time: 0.5078 data_time: 0.0333 memory: 18108 grad_norm: 2.8469 loss: 4.8665 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7613 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.1052 2023/01/31 21:14:07 - mmengine - INFO - Epoch(train) [45][1720/1879] lr: 9.9405e-02 eta: 2 days, 8:17:12 time: 0.5398 data_time: 0.0377 memory: 18108 grad_norm: 2.8906 loss: 4.6951 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6712 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.0239 2023/01/31 21:14:17 - mmengine - INFO - Epoch(train) [45][1740/1879] lr: 9.9404e-02 eta: 2 days, 8:17:02 time: 0.5067 data_time: 0.0400 memory: 18108 grad_norm: 2.9248 loss: 4.7014 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6832 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.0182 2023/01/31 21:14:27 - mmengine - INFO - Epoch(train) [45][1760/1879] lr: 9.9402e-02 eta: 2 days, 8:16:53 time: 0.5254 data_time: 0.0324 memory: 18108 grad_norm: 2.8996 loss: 4.8377 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8111 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 2.0266 2023/01/31 21:14:38 - mmengine - INFO - Epoch(train) [45][1780/1879] lr: 9.9401e-02 eta: 2 days, 8:16:43 time: 0.5137 data_time: 0.0303 memory: 18108 grad_norm: 2.8839 loss: 5.0349 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 3.0335 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0014 2023/01/31 21:14:48 - mmengine - INFO - Epoch(train) [45][1800/1879] lr: 9.9400e-02 eta: 2 days, 8:16:35 time: 0.5320 data_time: 0.0386 memory: 18108 grad_norm: 2.8882 loss: 4.5422 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6116 top1_acc_1: 0.5647 top5_acc_1: 0.6706 loss_cls_1: 1.9306 2023/01/31 21:14:59 - mmengine - INFO - Epoch(train) [45][1820/1879] lr: 9.9399e-02 eta: 2 days, 8:16:24 time: 0.5113 data_time: 0.0334 memory: 18108 grad_norm: 2.9599 loss: 4.6870 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.6848 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.0022 2023/01/31 21:15:09 - mmengine - INFO - Epoch(train) [45][1840/1879] lr: 9.9398e-02 eta: 2 days, 8:16:15 time: 0.5159 data_time: 0.0331 memory: 18108 grad_norm: 2.9223 loss: 4.7892 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.7380 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 2.0512 2023/01/31 21:15:19 - mmengine - INFO - Epoch(train) [45][1860/1879] lr: 9.9397e-02 eta: 2 days, 8:16:06 time: 0.5289 data_time: 0.0406 memory: 18108 grad_norm: 2.9190 loss: 4.6760 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6634 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 2.0126 2023/01/31 21:15:29 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 21:15:29 - mmengine - INFO - Epoch(train) [45][1879/1879] lr: 9.9395e-02 eta: 2 days, 8:15:56 time: 0.4989 data_time: 0.0263 memory: 18108 grad_norm: 2.9711 loss: 4.9050 top1_acc_0: 0.2857 top5_acc_0: 0.4286 loss_cls_0: 2.8962 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0088 2023/01/31 21:15:44 - mmengine - INFO - Epoch(train) [46][ 20/1879] lr: 9.9394e-02 eta: 2 days, 8:16:05 time: 0.7166 data_time: 0.2636 memory: 18108 grad_norm: 2.8986 loss: 4.7187 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7807 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.9380 2023/01/31 21:15:54 - mmengine - INFO - Epoch(train) [46][ 40/1879] lr: 9.9393e-02 eta: 2 days, 8:15:51 time: 0.4686 data_time: 0.0307 memory: 18108 grad_norm: 2.8763 loss: 4.5470 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6034 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.9436 2023/01/31 21:16:03 - mmengine - INFO - Epoch(train) [46][ 60/1879] lr: 9.9392e-02 eta: 2 days, 8:15:37 time: 0.4789 data_time: 0.0372 memory: 18108 grad_norm: 2.8995 loss: 4.5497 top1_acc_0: 0.1875 top5_acc_0: 0.7500 loss_cls_0: 2.6696 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.8801 2023/01/31 21:16:14 - mmengine - INFO - Epoch(train) [46][ 80/1879] lr: 9.9391e-02 eta: 2 days, 8:15:28 time: 0.5246 data_time: 0.0312 memory: 18108 grad_norm: 2.9429 loss: 4.7470 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7692 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.9778 2023/01/31 21:16:23 - mmengine - INFO - Epoch(train) [46][ 100/1879] lr: 9.9390e-02 eta: 2 days, 8:15:16 time: 0.4829 data_time: 0.0367 memory: 18108 grad_norm: 2.9082 loss: 4.5595 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6308 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.9287 2023/01/31 21:16:33 - mmengine - INFO - Epoch(train) [46][ 120/1879] lr: 9.9388e-02 eta: 2 days, 8:15:01 time: 0.4663 data_time: 0.0315 memory: 18108 grad_norm: 2.8828 loss: 4.5755 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.6259 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.9496 2023/01/31 21:16:42 - mmengine - INFO - Epoch(train) [46][ 140/1879] lr: 9.9387e-02 eta: 2 days, 8:14:49 time: 0.4886 data_time: 0.0448 memory: 18108 grad_norm: 2.9070 loss: 4.7957 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8121 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.9835 2023/01/31 21:16:52 - mmengine - INFO - Epoch(train) [46][ 160/1879] lr: 9.9386e-02 eta: 2 days, 8:14:37 time: 0.4959 data_time: 0.0287 memory: 18108 grad_norm: 2.8594 loss: 4.5308 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7481 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7827 2023/01/31 21:17:02 - mmengine - INFO - Epoch(train) [46][ 180/1879] lr: 9.9385e-02 eta: 2 days, 8:14:24 time: 0.4802 data_time: 0.0390 memory: 18108 grad_norm: 2.9016 loss: 4.7284 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8041 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9243 2023/01/31 21:17:11 - mmengine - INFO - Epoch(train) [46][ 200/1879] lr: 9.9384e-02 eta: 2 days, 8:14:10 time: 0.4733 data_time: 0.0301 memory: 18108 grad_norm: 2.9782 loss: 4.6065 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.7513 top1_acc_1: 0.5647 top5_acc_1: 0.8706 loss_cls_1: 1.8552 2023/01/31 21:17:22 - mmengine - INFO - Epoch(train) [46][ 220/1879] lr: 9.9383e-02 eta: 2 days, 8:14:00 time: 0.5054 data_time: 0.0381 memory: 18108 grad_norm: 2.8902 loss: 4.5720 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6124 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 1.9595 2023/01/31 21:17:31 - mmengine - INFO - Epoch(train) [46][ 240/1879] lr: 9.9381e-02 eta: 2 days, 8:13:47 time: 0.4787 data_time: 0.0303 memory: 18108 grad_norm: 2.8974 loss: 4.5141 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6070 top1_acc_1: 0.5294 top5_acc_1: 0.8706 loss_cls_1: 1.9071 2023/01/31 21:17:41 - mmengine - INFO - Epoch(train) [46][ 260/1879] lr: 9.9380e-02 eta: 2 days, 8:13:34 time: 0.4837 data_time: 0.0455 memory: 18108 grad_norm: 2.9143 loss: 4.7630 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8038 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.9591 2023/01/31 21:17:50 - mmengine - INFO - Epoch(train) [46][ 280/1879] lr: 9.9379e-02 eta: 2 days, 8:13:20 time: 0.4757 data_time: 0.0311 memory: 18108 grad_norm: 2.8748 loss: 4.7253 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8476 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.8777 2023/01/31 21:18:00 - mmengine - INFO - Epoch(train) [46][ 300/1879] lr: 9.9378e-02 eta: 2 days, 8:13:09 time: 0.4983 data_time: 0.0384 memory: 18108 grad_norm: 2.9070 loss: 4.4259 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5552 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8708 2023/01/31 21:18:10 - mmengine - INFO - Epoch(train) [46][ 320/1879] lr: 9.9377e-02 eta: 2 days, 8:12:56 time: 0.4777 data_time: 0.0292 memory: 18108 grad_norm: 2.9411 loss: 4.5575 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6503 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.9073 2023/01/31 21:18:20 - mmengine - INFO - Epoch(train) [46][ 340/1879] lr: 9.9375e-02 eta: 2 days, 8:12:43 time: 0.4906 data_time: 0.0444 memory: 18108 grad_norm: 2.9044 loss: 4.6206 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.6574 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 1.9632 2023/01/31 21:18:29 - mmengine - INFO - Epoch(train) [46][ 360/1879] lr: 9.9374e-02 eta: 2 days, 8:12:31 time: 0.4882 data_time: 0.0297 memory: 18108 grad_norm: 2.9010 loss: 4.5699 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6761 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.8938 2023/01/31 21:18:40 - mmengine - INFO - Epoch(train) [46][ 380/1879] lr: 9.9373e-02 eta: 2 days, 8:12:20 time: 0.5050 data_time: 0.0382 memory: 18108 grad_norm: 2.9095 loss: 4.5705 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 2.5671 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 2.0034 2023/01/31 21:18:49 - mmengine - INFO - Epoch(train) [46][ 400/1879] lr: 9.9372e-02 eta: 2 days, 8:12:07 time: 0.4740 data_time: 0.0376 memory: 18108 grad_norm: 2.9465 loss: 4.7187 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6627 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 2.0560 2023/01/31 21:18:59 - mmengine - INFO - Epoch(train) [46][ 420/1879] lr: 9.9371e-02 eta: 2 days, 8:11:55 time: 0.4981 data_time: 0.0397 memory: 18108 grad_norm: 2.9472 loss: 4.6400 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6963 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.9438 2023/01/31 21:19:09 - mmengine - INFO - Epoch(train) [46][ 440/1879] lr: 9.9370e-02 eta: 2 days, 8:11:42 time: 0.4818 data_time: 0.0306 memory: 18108 grad_norm: 2.8490 loss: 4.4629 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.4275 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0355 2023/01/31 21:19:11 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 21:19:19 - mmengine - INFO - Epoch(train) [46][ 460/1879] lr: 9.9368e-02 eta: 2 days, 8:11:31 time: 0.5011 data_time: 0.0374 memory: 18108 grad_norm: 2.9256 loss: 4.6409 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6753 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.9656 2023/01/31 21:19:28 - mmengine - INFO - Epoch(train) [46][ 480/1879] lr: 9.9367e-02 eta: 2 days, 8:11:19 time: 0.4849 data_time: 0.0372 memory: 18108 grad_norm: 2.9268 loss: 4.5890 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6653 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9237 2023/01/31 21:19:38 - mmengine - INFO - Epoch(train) [46][ 500/1879] lr: 9.9366e-02 eta: 2 days, 8:11:07 time: 0.5006 data_time: 0.0376 memory: 18108 grad_norm: 2.9198 loss: 4.7900 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.7069 top1_acc_1: 0.5176 top5_acc_1: 0.6941 loss_cls_1: 2.0831 2023/01/31 21:19:48 - mmengine - INFO - Epoch(train) [46][ 520/1879] lr: 9.9365e-02 eta: 2 days, 8:10:54 time: 0.4794 data_time: 0.0302 memory: 18108 grad_norm: 2.9775 loss: 4.8353 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7841 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 2.0511 2023/01/31 21:19:58 - mmengine - INFO - Epoch(train) [46][ 540/1879] lr: 9.9364e-02 eta: 2 days, 8:10:44 time: 0.5102 data_time: 0.0408 memory: 18108 grad_norm: 2.9365 loss: 5.0577 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 2.9823 top1_acc_1: 0.5176 top5_acc_1: 0.6824 loss_cls_1: 2.0754 2023/01/31 21:20:08 - mmengine - INFO - Epoch(train) [46][ 560/1879] lr: 9.9362e-02 eta: 2 days, 8:10:31 time: 0.4784 data_time: 0.0314 memory: 18108 grad_norm: 2.9011 loss: 4.7370 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7366 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 2.0004 2023/01/31 21:20:18 - mmengine - INFO - Epoch(train) [46][ 580/1879] lr: 9.9361e-02 eta: 2 days, 8:10:19 time: 0.4963 data_time: 0.0372 memory: 18108 grad_norm: 2.9373 loss: 4.6349 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6737 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.9612 2023/01/31 21:20:28 - mmengine - INFO - Epoch(train) [46][ 600/1879] lr: 9.9360e-02 eta: 2 days, 8:10:07 time: 0.4941 data_time: 0.0307 memory: 18108 grad_norm: 2.9395 loss: 4.7038 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7623 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.9415 2023/01/31 21:20:38 - mmengine - INFO - Epoch(train) [46][ 620/1879] lr: 9.9359e-02 eta: 2 days, 8:09:56 time: 0.4997 data_time: 0.0475 memory: 18108 grad_norm: 2.8648 loss: 4.7200 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.7144 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0057 2023/01/31 21:20:47 - mmengine - INFO - Epoch(train) [46][ 640/1879] lr: 9.9358e-02 eta: 2 days, 8:09:44 time: 0.4861 data_time: 0.0317 memory: 18108 grad_norm: 2.8801 loss: 4.7397 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7847 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.9551 2023/01/31 21:20:57 - mmengine - INFO - Epoch(train) [46][ 660/1879] lr: 9.9356e-02 eta: 2 days, 8:09:33 time: 0.5070 data_time: 0.0397 memory: 18108 grad_norm: 2.8958 loss: 4.8645 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7192 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.1453 2023/01/31 21:21:07 - mmengine - INFO - Epoch(train) [46][ 680/1879] lr: 9.9355e-02 eta: 2 days, 8:09:20 time: 0.4786 data_time: 0.0359 memory: 18108 grad_norm: 2.9693 loss: 5.0789 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 3.0173 top1_acc_1: 0.5176 top5_acc_1: 0.6941 loss_cls_1: 2.0616 2023/01/31 21:21:17 - mmengine - INFO - Epoch(train) [46][ 700/1879] lr: 9.9354e-02 eta: 2 days, 8:09:08 time: 0.4964 data_time: 0.0397 memory: 18108 grad_norm: 2.8993 loss: 4.8524 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8921 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.9603 2023/01/31 21:21:27 - mmengine - INFO - Epoch(train) [46][ 720/1879] lr: 9.9353e-02 eta: 2 days, 8:08:56 time: 0.4907 data_time: 0.0300 memory: 18108 grad_norm: 2.9041 loss: 4.8255 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8594 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.9662 2023/01/31 21:21:37 - mmengine - INFO - Epoch(train) [46][ 740/1879] lr: 9.9352e-02 eta: 2 days, 8:08:46 time: 0.5109 data_time: 0.0438 memory: 18108 grad_norm: 2.8535 loss: 4.7747 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7338 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 2.0410 2023/01/31 21:21:47 - mmengine - INFO - Epoch(train) [46][ 760/1879] lr: 9.9350e-02 eta: 2 days, 8:08:33 time: 0.4746 data_time: 0.0310 memory: 18108 grad_norm: 2.9299 loss: 4.6227 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7169 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9058 2023/01/31 21:21:57 - mmengine - INFO - Epoch(train) [46][ 780/1879] lr: 9.9349e-02 eta: 2 days, 8:08:22 time: 0.5059 data_time: 0.0382 memory: 18108 grad_norm: 2.9975 loss: 4.6763 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7231 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9532 2023/01/31 21:22:07 - mmengine - INFO - Epoch(train) [46][ 800/1879] lr: 9.9348e-02 eta: 2 days, 8:08:10 time: 0.4931 data_time: 0.0311 memory: 18108 grad_norm: 2.8862 loss: 4.7467 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6547 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.0919 2023/01/31 21:22:17 - mmengine - INFO - Epoch(train) [46][ 820/1879] lr: 9.9347e-02 eta: 2 days, 8:07:59 time: 0.4991 data_time: 0.0472 memory: 18108 grad_norm: 2.8949 loss: 4.7406 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7398 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 2.0008 2023/01/31 21:22:26 - mmengine - INFO - Epoch(train) [46][ 840/1879] lr: 9.9345e-02 eta: 2 days, 8:07:46 time: 0.4870 data_time: 0.0308 memory: 18108 grad_norm: 2.9762 loss: 4.9544 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9027 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0517 2023/01/31 21:22:36 - mmengine - INFO - Epoch(train) [46][ 860/1879] lr: 9.9344e-02 eta: 2 days, 8:07:36 time: 0.5091 data_time: 0.0366 memory: 18108 grad_norm: 2.8752 loss: 4.8656 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.8577 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0079 2023/01/31 21:22:46 - mmengine - INFO - Epoch(train) [46][ 880/1879] lr: 9.9343e-02 eta: 2 days, 8:07:23 time: 0.4839 data_time: 0.0316 memory: 18108 grad_norm: 2.8642 loss: 5.0167 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9802 top1_acc_1: 0.4588 top5_acc_1: 0.7294 loss_cls_1: 2.0365 2023/01/31 21:22:56 - mmengine - INFO - Epoch(train) [46][ 900/1879] lr: 9.9342e-02 eta: 2 days, 8:07:11 time: 0.4893 data_time: 0.0375 memory: 18108 grad_norm: 2.9165 loss: 4.7524 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6904 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 2.0620 2023/01/31 21:23:06 - mmengine - INFO - Epoch(train) [46][ 920/1879] lr: 9.9341e-02 eta: 2 days, 8:07:00 time: 0.4981 data_time: 0.0310 memory: 18108 grad_norm: 2.8959 loss: 4.7557 top1_acc_0: 0.0625 top5_acc_0: 0.4375 loss_cls_0: 2.8376 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9181 2023/01/31 21:23:16 - mmengine - INFO - Epoch(train) [46][ 940/1879] lr: 9.9339e-02 eta: 2 days, 8:06:49 time: 0.5101 data_time: 0.0460 memory: 18108 grad_norm: 2.8836 loss: 4.6681 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6594 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 2.0087 2023/01/31 21:23:26 - mmengine - INFO - Epoch(train) [46][ 960/1879] lr: 9.9338e-02 eta: 2 days, 8:06:36 time: 0.4767 data_time: 0.0304 memory: 18108 grad_norm: 2.9087 loss: 4.9590 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 3.0005 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9584 2023/01/31 21:23:36 - mmengine - INFO - Epoch(train) [46][ 980/1879] lr: 9.9337e-02 eta: 2 days, 8:06:25 time: 0.4979 data_time: 0.0364 memory: 18108 grad_norm: 2.8756 loss: 4.7998 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7326 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 2.0671 2023/01/31 21:23:45 - mmengine - INFO - Epoch(train) [46][1000/1879] lr: 9.9336e-02 eta: 2 days, 8:06:12 time: 0.4888 data_time: 0.0307 memory: 18108 grad_norm: 2.8778 loss: 4.8424 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8451 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 1.9973 2023/01/31 21:23:56 - mmengine - INFO - Epoch(train) [46][1020/1879] lr: 9.9334e-02 eta: 2 days, 8:06:02 time: 0.5082 data_time: 0.0465 memory: 18108 grad_norm: 2.8685 loss: 4.5941 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6172 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9769 2023/01/31 21:24:05 - mmengine - INFO - Epoch(train) [46][1040/1879] lr: 9.9333e-02 eta: 2 days, 8:05:49 time: 0.4793 data_time: 0.0307 memory: 18108 grad_norm: 2.9648 loss: 4.7935 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8515 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9421 2023/01/31 21:24:15 - mmengine - INFO - Epoch(train) [46][1060/1879] lr: 9.9332e-02 eta: 2 days, 8:05:38 time: 0.5034 data_time: 0.0398 memory: 18108 grad_norm: 2.8924 loss: 4.4661 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5051 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9611 2023/01/31 21:24:25 - mmengine - INFO - Epoch(train) [46][1080/1879] lr: 9.9331e-02 eta: 2 days, 8:05:26 time: 0.4923 data_time: 0.0294 memory: 18108 grad_norm: 2.8970 loss: 5.0429 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.0841 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 1.9589 2023/01/31 21:24:35 - mmengine - INFO - Epoch(train) [46][1100/1879] lr: 9.9330e-02 eta: 2 days, 8:05:15 time: 0.4991 data_time: 0.0369 memory: 18108 grad_norm: 2.9060 loss: 4.8148 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7802 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 2.0346 2023/01/31 21:24:45 - mmengine - INFO - Epoch(train) [46][1120/1879] lr: 9.9328e-02 eta: 2 days, 8:05:02 time: 0.4826 data_time: 0.0316 memory: 18108 grad_norm: 2.9013 loss: 4.8851 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.9022 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9829 2023/01/31 21:24:55 - mmengine - INFO - Epoch(train) [46][1140/1879] lr: 9.9327e-02 eta: 2 days, 8:04:50 time: 0.4916 data_time: 0.0389 memory: 18108 grad_norm: 2.9023 loss: 4.9638 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8611 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.1027 2023/01/31 21:25:04 - mmengine - INFO - Epoch(train) [46][1160/1879] lr: 9.9326e-02 eta: 2 days, 8:04:38 time: 0.4893 data_time: 0.0377 memory: 18108 grad_norm: 2.9024 loss: 4.9553 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8546 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 2.1007 2023/01/31 21:25:15 - mmengine - INFO - Epoch(train) [46][1180/1879] lr: 9.9325e-02 eta: 2 days, 8:04:27 time: 0.5087 data_time: 0.0379 memory: 18108 grad_norm: 2.9596 loss: 4.6596 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6217 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 2.0379 2023/01/31 21:25:24 - mmengine - INFO - Epoch(train) [46][1200/1879] lr: 9.9323e-02 eta: 2 days, 8:04:14 time: 0.4758 data_time: 0.0300 memory: 18108 grad_norm: 2.8946 loss: 4.8430 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8080 top1_acc_1: 0.4706 top5_acc_1: 0.8118 loss_cls_1: 2.0349 2023/01/31 21:25:34 - mmengine - INFO - Epoch(train) [46][1220/1879] lr: 9.9322e-02 eta: 2 days, 8:04:03 time: 0.4979 data_time: 0.0392 memory: 18108 grad_norm: 2.9176 loss: 4.9675 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9302 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 2.0373 2023/01/31 21:25:44 - mmengine - INFO - Epoch(train) [46][1240/1879] lr: 9.9321e-02 eta: 2 days, 8:03:50 time: 0.4866 data_time: 0.0312 memory: 18108 grad_norm: 2.9016 loss: 4.6168 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6548 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9619 2023/01/31 21:25:54 - mmengine - INFO - Epoch(train) [46][1260/1879] lr: 9.9320e-02 eta: 2 days, 8:03:39 time: 0.5028 data_time: 0.0377 memory: 18108 grad_norm: 2.8757 loss: 4.7108 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7027 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.0080 2023/01/31 21:26:03 - mmengine - INFO - Epoch(train) [46][1280/1879] lr: 9.9318e-02 eta: 2 days, 8:03:26 time: 0.4779 data_time: 0.0305 memory: 18108 grad_norm: 2.9138 loss: 4.8890 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8993 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9897 2023/01/31 21:26:14 - mmengine - INFO - Epoch(train) [46][1300/1879] lr: 9.9317e-02 eta: 2 days, 8:03:15 time: 0.5079 data_time: 0.0449 memory: 18108 grad_norm: 2.8513 loss: 4.8160 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7788 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 2.0372 2023/01/31 21:26:24 - mmengine - INFO - Epoch(train) [46][1320/1879] lr: 9.9316e-02 eta: 2 days, 8:03:04 time: 0.4996 data_time: 0.0318 memory: 18108 grad_norm: 2.8866 loss: 4.8915 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7707 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.1209 2023/01/31 21:26:33 - mmengine - INFO - Epoch(train) [46][1340/1879] lr: 9.9315e-02 eta: 2 days, 8:02:52 time: 0.4882 data_time: 0.0395 memory: 18108 grad_norm: 2.9140 loss: 4.8397 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8241 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 2.0155 2023/01/31 21:26:43 - mmengine - INFO - Epoch(train) [46][1360/1879] lr: 9.9314e-02 eta: 2 days, 8:02:40 time: 0.4917 data_time: 0.0351 memory: 18108 grad_norm: 2.8876 loss: 5.0328 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9417 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.0911 2023/01/31 21:26:53 - mmengine - INFO - Epoch(train) [46][1380/1879] lr: 9.9312e-02 eta: 2 days, 8:02:28 time: 0.4945 data_time: 0.0370 memory: 18108 grad_norm: 2.9601 loss: 4.5728 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5440 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.0288 2023/01/31 21:27:03 - mmengine - INFO - Epoch(train) [46][1400/1879] lr: 9.9311e-02 eta: 2 days, 8:02:17 time: 0.4940 data_time: 0.0300 memory: 18108 grad_norm: 2.9091 loss: 4.8641 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.7987 top1_acc_1: 0.5765 top5_acc_1: 0.7294 loss_cls_1: 2.0654 2023/01/31 21:27:13 - mmengine - INFO - Epoch(train) [46][1420/1879] lr: 9.9310e-02 eta: 2 days, 8:02:06 time: 0.5033 data_time: 0.0367 memory: 18108 grad_norm: 2.8467 loss: 4.6605 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7125 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.9481 2023/01/31 21:27:23 - mmengine - INFO - Epoch(train) [46][1440/1879] lr: 9.9309e-02 eta: 2 days, 8:01:53 time: 0.4844 data_time: 0.0298 memory: 18108 grad_norm: 2.9044 loss: 4.5966 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6603 top1_acc_1: 0.5176 top5_acc_1: 0.6706 loss_cls_1: 1.9363 2023/01/31 21:27:25 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 21:27:33 - mmengine - INFO - Epoch(train) [46][1460/1879] lr: 9.9307e-02 eta: 2 days, 8:01:42 time: 0.5036 data_time: 0.0393 memory: 18108 grad_norm: 2.9076 loss: 4.7740 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8549 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 1.9191 2023/01/31 21:27:43 - mmengine - INFO - Epoch(train) [46][1480/1879] lr: 9.9306e-02 eta: 2 days, 8:01:31 time: 0.4990 data_time: 0.0298 memory: 18108 grad_norm: 2.9410 loss: 4.8757 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.9346 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 1.9412 2023/01/31 21:27:53 - mmengine - INFO - Epoch(train) [46][1500/1879] lr: 9.9305e-02 eta: 2 days, 8:01:19 time: 0.4966 data_time: 0.0413 memory: 18108 grad_norm: 2.8937 loss: 4.8415 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8230 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 2.0186 2023/01/31 21:28:02 - mmengine - INFO - Epoch(train) [46][1520/1879] lr: 9.9304e-02 eta: 2 days, 8:01:07 time: 0.4881 data_time: 0.0323 memory: 18108 grad_norm: 2.8983 loss: 4.8271 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.8166 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 2.0105 2023/01/31 21:28:13 - mmengine - INFO - Epoch(train) [46][1540/1879] lr: 9.9302e-02 eta: 2 days, 8:00:56 time: 0.5058 data_time: 0.0376 memory: 18108 grad_norm: 2.9081 loss: 4.6279 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.6488 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.9791 2023/01/31 21:28:23 - mmengine - INFO - Epoch(train) [46][1560/1879] lr: 9.9301e-02 eta: 2 days, 8:00:45 time: 0.4982 data_time: 0.0403 memory: 18108 grad_norm: 2.9052 loss: 4.7662 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7564 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.0098 2023/01/31 21:28:33 - mmengine - INFO - Epoch(train) [46][1580/1879] lr: 9.9300e-02 eta: 2 days, 8:00:34 time: 0.4996 data_time: 0.0381 memory: 18108 grad_norm: 2.8615 loss: 4.6336 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6896 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9440 2023/01/31 21:28:42 - mmengine - INFO - Epoch(train) [46][1600/1879] lr: 9.9299e-02 eta: 2 days, 8:00:21 time: 0.4833 data_time: 0.0318 memory: 18108 grad_norm: 2.8736 loss: 4.7914 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.8606 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9308 2023/01/31 21:28:52 - mmengine - INFO - Epoch(train) [46][1620/1879] lr: 9.9297e-02 eta: 2 days, 8:00:11 time: 0.5097 data_time: 0.0423 memory: 18108 grad_norm: 2.9024 loss: 5.1607 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.0314 top1_acc_1: 0.5647 top5_acc_1: 0.7059 loss_cls_1: 2.1293 2023/01/31 21:29:02 - mmengine - INFO - Epoch(train) [46][1640/1879] lr: 9.9296e-02 eta: 2 days, 7:59:59 time: 0.4886 data_time: 0.0328 memory: 18108 grad_norm: 2.9347 loss: 4.6650 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.7134 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.9516 2023/01/31 21:29:12 - mmengine - INFO - Epoch(train) [46][1660/1879] lr: 9.9295e-02 eta: 2 days, 7:59:48 time: 0.5033 data_time: 0.0374 memory: 18108 grad_norm: 2.9113 loss: 4.8337 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8748 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9589 2023/01/31 21:29:22 - mmengine - INFO - Epoch(train) [46][1680/1879] lr: 9.9293e-02 eta: 2 days, 7:59:36 time: 0.4952 data_time: 0.0310 memory: 18108 grad_norm: 2.9187 loss: 4.6713 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7129 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.9584 2023/01/31 21:29:33 - mmengine - INFO - Epoch(train) [46][1700/1879] lr: 9.9292e-02 eta: 2 days, 7:59:27 time: 0.5179 data_time: 0.0363 memory: 18108 grad_norm: 2.8994 loss: 4.7865 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8082 top1_acc_1: 0.4706 top5_acc_1: 0.7882 loss_cls_1: 1.9782 2023/01/31 21:29:42 - mmengine - INFO - Epoch(train) [46][1720/1879] lr: 9.9291e-02 eta: 2 days, 7:59:14 time: 0.4844 data_time: 0.0301 memory: 18108 grad_norm: 2.9208 loss: 4.8127 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7451 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.0676 2023/01/31 21:29:53 - mmengine - INFO - Epoch(train) [46][1740/1879] lr: 9.9290e-02 eta: 2 days, 7:59:04 time: 0.5163 data_time: 0.0366 memory: 18108 grad_norm: 2.8980 loss: 4.6145 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6655 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.9490 2023/01/31 21:30:03 - mmengine - INFO - Epoch(train) [46][1760/1879] lr: 9.9288e-02 eta: 2 days, 7:58:54 time: 0.5081 data_time: 0.0306 memory: 18108 grad_norm: 2.8917 loss: 4.9351 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8625 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0726 2023/01/31 21:30:13 - mmengine - INFO - Epoch(train) [46][1780/1879] lr: 9.9287e-02 eta: 2 days, 7:58:44 time: 0.5141 data_time: 0.0419 memory: 18108 grad_norm: 2.9129 loss: 4.6276 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7081 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.9194 2023/01/31 21:30:23 - mmengine - INFO - Epoch(train) [46][1800/1879] lr: 9.9286e-02 eta: 2 days, 7:58:34 time: 0.5079 data_time: 0.0310 memory: 18108 grad_norm: 2.9048 loss: 4.5760 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5040 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 2.0720 2023/01/31 21:30:34 - mmengine - INFO - Epoch(train) [46][1820/1879] lr: 9.9285e-02 eta: 2 days, 7:58:24 time: 0.5192 data_time: 0.0354 memory: 18108 grad_norm: 2.8951 loss: 4.6459 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6334 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 2.0125 2023/01/31 21:30:43 - mmengine - INFO - Epoch(train) [46][1840/1879] lr: 9.9283e-02 eta: 2 days, 7:58:12 time: 0.4925 data_time: 0.0301 memory: 18108 grad_norm: 2.8832 loss: 4.8997 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7849 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 2.1148 2023/01/31 21:30:54 - mmengine - INFO - Epoch(train) [46][1860/1879] lr: 9.9282e-02 eta: 2 days, 7:58:03 time: 0.5190 data_time: 0.0354 memory: 18108 grad_norm: 2.9301 loss: 4.6426 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5864 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.0562 2023/01/31 21:31:03 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 21:31:03 - mmengine - INFO - Epoch(train) [46][1879/1879] lr: 9.9281e-02 eta: 2 days, 7:57:51 time: 0.4857 data_time: 0.0291 memory: 18108 grad_norm: 2.9682 loss: 4.8372 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 2.7399 top1_acc_1: 0.4706 top5_acc_1: 0.6941 loss_cls_1: 2.0973 2023/01/31 21:31:18 - mmengine - INFO - Epoch(train) [47][ 20/1879] lr: 9.9280e-02 eta: 2 days, 7:57:58 time: 0.7068 data_time: 0.2477 memory: 18108 grad_norm: 2.9082 loss: 4.7517 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8007 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.9510 2023/01/31 21:31:27 - mmengine - INFO - Epoch(train) [47][ 40/1879] lr: 9.9278e-02 eta: 2 days, 7:57:45 time: 0.4758 data_time: 0.0304 memory: 18108 grad_norm: 2.9083 loss: 4.5279 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6526 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8753 2023/01/31 21:31:37 - mmengine - INFO - Epoch(train) [47][ 60/1879] lr: 9.9277e-02 eta: 2 days, 7:57:33 time: 0.4904 data_time: 0.0393 memory: 18108 grad_norm: 2.8475 loss: 4.2550 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3697 top1_acc_1: 0.4471 top5_acc_1: 0.6941 loss_cls_1: 1.8854 2023/01/31 21:31:48 - mmengine - INFO - Epoch(train) [47][ 80/1879] lr: 9.9276e-02 eta: 2 days, 7:57:24 time: 0.5214 data_time: 0.0424 memory: 18108 grad_norm: 2.9163 loss: 4.6009 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7265 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8744 2023/01/31 21:31:57 - mmengine - INFO - Epoch(train) [47][ 100/1879] lr: 9.9274e-02 eta: 2 days, 7:57:11 time: 0.4881 data_time: 0.0394 memory: 18108 grad_norm: 2.9078 loss: 4.9643 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.9949 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 1.9694 2023/01/31 21:32:07 - mmengine - INFO - Epoch(train) [47][ 120/1879] lr: 9.9273e-02 eta: 2 days, 7:56:59 time: 0.4866 data_time: 0.0418 memory: 18108 grad_norm: 2.8900 loss: 4.6436 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7144 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9291 2023/01/31 21:32:17 - mmengine - INFO - Epoch(train) [47][ 140/1879] lr: 9.9272e-02 eta: 2 days, 7:56:50 time: 0.5187 data_time: 0.0362 memory: 18108 grad_norm: 2.9735 loss: 4.7313 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7932 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9381 2023/01/31 21:32:27 - mmengine - INFO - Epoch(train) [47][ 160/1879] lr: 9.9271e-02 eta: 2 days, 7:56:37 time: 0.4878 data_time: 0.0339 memory: 18108 grad_norm: 2.8975 loss: 4.7608 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8369 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.9239 2023/01/31 21:32:37 - mmengine - INFO - Epoch(train) [47][ 180/1879] lr: 9.9269e-02 eta: 2 days, 7:56:25 time: 0.4832 data_time: 0.0374 memory: 18108 grad_norm: 2.9020 loss: 4.9130 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 3.0414 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.8716 2023/01/31 21:32:47 - mmengine - INFO - Epoch(train) [47][ 200/1879] lr: 9.9268e-02 eta: 2 days, 7:56:12 time: 0.4826 data_time: 0.0320 memory: 18108 grad_norm: 2.8735 loss: 4.7272 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8141 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.9131 2023/01/31 21:32:57 - mmengine - INFO - Epoch(train) [47][ 220/1879] lr: 9.9267e-02 eta: 2 days, 7:56:02 time: 0.5153 data_time: 0.0438 memory: 18108 grad_norm: 2.9024 loss: 4.6498 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7270 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.9227 2023/01/31 21:33:07 - mmengine - INFO - Epoch(train) [47][ 240/1879] lr: 9.9266e-02 eta: 2 days, 7:55:50 time: 0.4947 data_time: 0.0302 memory: 18108 grad_norm: 2.9852 loss: 4.8077 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8303 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.9774 2023/01/31 21:33:17 - mmengine - INFO - Epoch(train) [47][ 260/1879] lr: 9.9264e-02 eta: 2 days, 7:55:38 time: 0.4911 data_time: 0.0360 memory: 18108 grad_norm: 2.8669 loss: 4.8388 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.7557 top1_acc_1: 0.5059 top5_acc_1: 0.7059 loss_cls_1: 2.0831 2023/01/31 21:33:27 - mmengine - INFO - Epoch(train) [47][ 280/1879] lr: 9.9263e-02 eta: 2 days, 7:55:27 time: 0.5004 data_time: 0.0322 memory: 18108 grad_norm: 2.9352 loss: 4.6812 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7570 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.9242 2023/01/31 21:33:37 - mmengine - INFO - Epoch(train) [47][ 300/1879] lr: 9.9262e-02 eta: 2 days, 7:55:17 time: 0.5134 data_time: 0.0536 memory: 18108 grad_norm: 2.9658 loss: 4.3549 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5041 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8508 2023/01/31 21:33:47 - mmengine - INFO - Epoch(train) [47][ 320/1879] lr: 9.9260e-02 eta: 2 days, 7:55:05 time: 0.4917 data_time: 0.0353 memory: 18108 grad_norm: 2.9390 loss: 4.8334 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9302 top1_acc_1: 0.4588 top5_acc_1: 0.7294 loss_cls_1: 1.9032 2023/01/31 21:33:57 - mmengine - INFO - Epoch(train) [47][ 340/1879] lr: 9.9259e-02 eta: 2 days, 7:54:54 time: 0.4955 data_time: 0.0350 memory: 18108 grad_norm: 2.9742 loss: 4.7636 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.7804 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9832 2023/01/31 21:34:07 - mmengine - INFO - Epoch(train) [47][ 360/1879] lr: 9.9258e-02 eta: 2 days, 7:54:43 time: 0.5055 data_time: 0.0359 memory: 18108 grad_norm: 2.9282 loss: 4.6872 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7448 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.9424 2023/01/31 21:34:17 - mmengine - INFO - Epoch(train) [47][ 380/1879] lr: 9.9256e-02 eta: 2 days, 7:54:32 time: 0.5027 data_time: 0.0381 memory: 18108 grad_norm: 2.8598 loss: 4.5301 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5286 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0015 2023/01/31 21:34:27 - mmengine - INFO - Epoch(train) [47][ 400/1879] lr: 9.9255e-02 eta: 2 days, 7:54:20 time: 0.4943 data_time: 0.0304 memory: 18108 grad_norm: 2.9634 loss: 4.7323 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7820 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.9503 2023/01/31 21:34:37 - mmengine - INFO - Epoch(train) [47][ 420/1879] lr: 9.9254e-02 eta: 2 days, 7:54:11 time: 0.5195 data_time: 0.0431 memory: 18108 grad_norm: 2.9228 loss: 4.5829 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5469 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 2.0360 2023/01/31 21:34:47 - mmengine - INFO - Epoch(train) [47][ 440/1879] lr: 9.9253e-02 eta: 2 days, 7:53:59 time: 0.4954 data_time: 0.0307 memory: 18108 grad_norm: 2.9568 loss: 4.6851 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6620 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 2.0231 2023/01/31 21:34:57 - mmengine - INFO - Epoch(train) [47][ 460/1879] lr: 9.9251e-02 eta: 2 days, 7:53:49 time: 0.5109 data_time: 0.0376 memory: 18108 grad_norm: 2.9120 loss: 4.6511 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6832 top1_acc_1: 0.4824 top5_acc_1: 0.6588 loss_cls_1: 1.9679 2023/01/31 21:35:08 - mmengine - INFO - Epoch(train) [47][ 480/1879] lr: 9.9250e-02 eta: 2 days, 7:53:39 time: 0.5144 data_time: 0.0314 memory: 18108 grad_norm: 2.8968 loss: 4.4923 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5311 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.9612 2023/01/31 21:35:18 - mmengine - INFO - Epoch(train) [47][ 500/1879] lr: 9.9249e-02 eta: 2 days, 7:53:29 time: 0.5055 data_time: 0.0340 memory: 18108 grad_norm: 2.9233 loss: 4.5633 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.6418 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.9215 2023/01/31 21:35:28 - mmengine - INFO - Epoch(train) [47][ 520/1879] lr: 9.9247e-02 eta: 2 days, 7:53:18 time: 0.5069 data_time: 0.0296 memory: 18108 grad_norm: 2.9336 loss: 4.7954 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8161 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9794 2023/01/31 21:35:38 - mmengine - INFO - Epoch(train) [47][ 540/1879] lr: 9.9246e-02 eta: 2 days, 7:53:10 time: 0.5338 data_time: 0.0344 memory: 18108 grad_norm: 2.8646 loss: 4.6509 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6778 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.9731 2023/01/31 21:35:49 - mmengine - INFO - Epoch(train) [47][ 560/1879] lr: 9.9245e-02 eta: 2 days, 7:52:59 time: 0.5036 data_time: 0.0380 memory: 18108 grad_norm: 2.9216 loss: 4.6582 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7661 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.8921 2023/01/31 21:35:52 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 21:35:59 - mmengine - INFO - Epoch(train) [47][ 580/1879] lr: 9.9243e-02 eta: 2 days, 7:52:48 time: 0.5022 data_time: 0.0337 memory: 18108 grad_norm: 2.9492 loss: 4.8088 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.8461 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.9627 2023/01/31 21:36:09 - mmengine - INFO - Epoch(train) [47][ 600/1879] lr: 9.9242e-02 eta: 2 days, 7:52:40 time: 0.5317 data_time: 0.0282 memory: 18108 grad_norm: 2.8915 loss: 4.7048 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6386 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 2.0662 2023/01/31 21:36:20 - mmengine - INFO - Epoch(train) [47][ 620/1879] lr: 9.9241e-02 eta: 2 days, 7:52:30 time: 0.5171 data_time: 0.0355 memory: 18108 grad_norm: 2.9414 loss: 4.8352 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.7958 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0394 2023/01/31 21:36:30 - mmengine - INFO - Epoch(train) [47][ 640/1879] lr: 9.9240e-02 eta: 2 days, 7:52:21 time: 0.5205 data_time: 0.0360 memory: 18108 grad_norm: 2.8887 loss: 4.7152 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8501 top1_acc_1: 0.4588 top5_acc_1: 0.6706 loss_cls_1: 1.8651 2023/01/31 21:36:40 - mmengine - INFO - Epoch(train) [47][ 660/1879] lr: 9.9238e-02 eta: 2 days, 7:52:11 time: 0.5085 data_time: 0.0374 memory: 18108 grad_norm: 2.8942 loss: 4.7834 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7420 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 2.0414 2023/01/31 21:36:51 - mmengine - INFO - Epoch(train) [47][ 680/1879] lr: 9.9237e-02 eta: 2 days, 7:52:02 time: 0.5300 data_time: 0.0292 memory: 18108 grad_norm: 2.8350 loss: 4.7405 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7243 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 2.0162 2023/01/31 21:37:01 - mmengine - INFO - Epoch(train) [47][ 700/1879] lr: 9.9236e-02 eta: 2 days, 7:51:53 time: 0.5192 data_time: 0.0461 memory: 18108 grad_norm: 2.9404 loss: 4.6803 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6384 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.0420 2023/01/31 21:37:11 - mmengine - INFO - Epoch(train) [47][ 720/1879] lr: 9.9234e-02 eta: 2 days, 7:51:43 time: 0.5151 data_time: 0.0327 memory: 18108 grad_norm: 2.9400 loss: 4.4090 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5369 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.8721 2023/01/31 21:37:22 - mmengine - INFO - Epoch(train) [47][ 740/1879] lr: 9.9233e-02 eta: 2 days, 7:51:34 time: 0.5197 data_time: 0.0385 memory: 18108 grad_norm: 2.9653 loss: 4.8947 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8967 top1_acc_1: 0.4235 top5_acc_1: 0.7765 loss_cls_1: 1.9979 2023/01/31 21:37:32 - mmengine - INFO - Epoch(train) [47][ 760/1879] lr: 9.9232e-02 eta: 2 days, 7:51:24 time: 0.5131 data_time: 0.0319 memory: 18108 grad_norm: 2.9119 loss: 4.6230 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6769 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9461 2023/01/31 21:37:43 - mmengine - INFO - Epoch(train) [47][ 780/1879] lr: 9.9230e-02 eta: 2 days, 7:51:15 time: 0.5237 data_time: 0.0435 memory: 18108 grad_norm: 2.9295 loss: 4.8602 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.9419 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.9183 2023/01/31 21:37:53 - mmengine - INFO - Epoch(train) [47][ 800/1879] lr: 9.9229e-02 eta: 2 days, 7:51:06 time: 0.5321 data_time: 0.0322 memory: 18108 grad_norm: 2.9434 loss: 4.8976 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9098 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9877 2023/01/31 21:38:03 - mmengine - INFO - Epoch(train) [47][ 820/1879] lr: 9.9228e-02 eta: 2 days, 7:50:56 time: 0.5100 data_time: 0.0348 memory: 18108 grad_norm: 2.9660 loss: 4.7962 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8667 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9294 2023/01/31 21:38:14 - mmengine - INFO - Epoch(train) [47][ 840/1879] lr: 9.9226e-02 eta: 2 days, 7:50:47 time: 0.5201 data_time: 0.0395 memory: 18108 grad_norm: 3.0121 loss: 4.7704 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7695 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 2.0010 2023/01/31 21:38:24 - mmengine - INFO - Epoch(train) [47][ 860/1879] lr: 9.9225e-02 eta: 2 days, 7:50:37 time: 0.5173 data_time: 0.0381 memory: 18108 grad_norm: 2.8887 loss: 4.9011 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 2.9715 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9296 2023/01/31 21:38:35 - mmengine - INFO - Epoch(train) [47][ 880/1879] lr: 9.9224e-02 eta: 2 days, 7:50:29 time: 0.5292 data_time: 0.0280 memory: 18108 grad_norm: 2.8419 loss: 4.8711 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8533 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 2.0178 2023/01/31 21:38:45 - mmengine - INFO - Epoch(train) [47][ 900/1879] lr: 9.9222e-02 eta: 2 days, 7:50:19 time: 0.5204 data_time: 0.0452 memory: 18108 grad_norm: 2.8547 loss: 4.5574 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5913 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.9660 2023/01/31 21:38:56 - mmengine - INFO - Epoch(train) [47][ 920/1879] lr: 9.9221e-02 eta: 2 days, 7:50:10 time: 0.5194 data_time: 0.0298 memory: 18108 grad_norm: 2.9042 loss: 4.7080 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7180 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.9900 2023/01/31 21:39:06 - mmengine - INFO - Epoch(train) [47][ 940/1879] lr: 9.9220e-02 eta: 2 days, 7:50:01 time: 0.5218 data_time: 0.0366 memory: 18108 grad_norm: 2.8302 loss: 4.8447 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8167 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.0280 2023/01/31 21:39:16 - mmengine - INFO - Epoch(train) [47][ 960/1879] lr: 9.9218e-02 eta: 2 days, 7:49:51 time: 0.5135 data_time: 0.0284 memory: 18108 grad_norm: 2.9051 loss: 4.8808 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 2.9847 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8962 2023/01/31 21:39:27 - mmengine - INFO - Epoch(train) [47][ 980/1879] lr: 9.9217e-02 eta: 2 days, 7:49:42 time: 0.5303 data_time: 0.0431 memory: 18108 grad_norm: 2.9163 loss: 4.6070 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6758 top1_acc_1: 0.4353 top5_acc_1: 0.7412 loss_cls_1: 1.9312 2023/01/31 21:39:37 - mmengine - INFO - Epoch(train) [47][1000/1879] lr: 9.9216e-02 eta: 2 days, 7:49:33 time: 0.5212 data_time: 0.0292 memory: 18108 grad_norm: 2.9504 loss: 4.5720 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.5765 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.9955 2023/01/31 21:39:48 - mmengine - INFO - Epoch(train) [47][1020/1879] lr: 9.9214e-02 eta: 2 days, 7:49:23 time: 0.5128 data_time: 0.0359 memory: 18108 grad_norm: 2.8982 loss: 4.9215 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8675 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 2.0540 2023/01/31 21:39:58 - mmengine - INFO - Epoch(train) [47][1040/1879] lr: 9.9213e-02 eta: 2 days, 7:49:14 time: 0.5221 data_time: 0.0364 memory: 18108 grad_norm: 2.9457 loss: 4.9426 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9369 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.0057 2023/01/31 21:40:09 - mmengine - INFO - Epoch(train) [47][1060/1879] lr: 9.9212e-02 eta: 2 days, 7:49:05 time: 0.5227 data_time: 0.0378 memory: 18108 grad_norm: 2.9483 loss: 4.8582 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.8671 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.9911 2023/01/31 21:40:19 - mmengine - INFO - Epoch(train) [47][1080/1879] lr: 9.9211e-02 eta: 2 days, 7:48:56 time: 0.5263 data_time: 0.0293 memory: 18108 grad_norm: 2.9301 loss: 4.8897 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8432 top1_acc_1: 0.4588 top5_acc_1: 0.7059 loss_cls_1: 2.0465 2023/01/31 21:40:30 - mmengine - INFO - Epoch(train) [47][1100/1879] lr: 9.9209e-02 eta: 2 days, 7:48:47 time: 0.5225 data_time: 0.0448 memory: 18108 grad_norm: 2.9161 loss: 4.6584 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6847 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.9737 2023/01/31 21:40:40 - mmengine - INFO - Epoch(train) [47][1120/1879] lr: 9.9208e-02 eta: 2 days, 7:48:38 time: 0.5261 data_time: 0.0293 memory: 18108 grad_norm: 2.9147 loss: 4.6968 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6773 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 2.0196 2023/01/31 21:40:50 - mmengine - INFO - Epoch(train) [47][1140/1879] lr: 9.9206e-02 eta: 2 days, 7:48:28 time: 0.5101 data_time: 0.0363 memory: 18108 grad_norm: 2.8929 loss: 4.6889 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6846 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.0043 2023/01/31 21:41:01 - mmengine - INFO - Epoch(train) [47][1160/1879] lr: 9.9205e-02 eta: 2 days, 7:48:18 time: 0.5146 data_time: 0.0361 memory: 18108 grad_norm: 2.9409 loss: 4.9029 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8735 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 2.0294 2023/01/31 21:41:11 - mmengine - INFO - Epoch(train) [47][1180/1879] lr: 9.9204e-02 eta: 2 days, 7:48:08 time: 0.5126 data_time: 0.0366 memory: 18108 grad_norm: 2.9577 loss: 4.7815 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8544 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.9271 2023/01/31 21:41:21 - mmengine - INFO - Epoch(train) [47][1200/1879] lr: 9.9202e-02 eta: 2 days, 7:47:58 time: 0.5190 data_time: 0.0303 memory: 18108 grad_norm: 2.8745 loss: 5.0838 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.0087 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.0752 2023/01/31 21:41:32 - mmengine - INFO - Epoch(train) [47][1220/1879] lr: 9.9201e-02 eta: 2 days, 7:47:48 time: 0.5137 data_time: 0.0383 memory: 18108 grad_norm: 2.8940 loss: 4.7172 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.7151 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 2.0021 2023/01/31 21:41:42 - mmengine - INFO - Epoch(train) [47][1240/1879] lr: 9.9200e-02 eta: 2 days, 7:47:39 time: 0.5243 data_time: 0.0363 memory: 18108 grad_norm: 2.9498 loss: 4.9114 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8093 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 2.1021 2023/01/31 21:41:52 - mmengine - INFO - Epoch(train) [47][1260/1879] lr: 9.9198e-02 eta: 2 days, 7:47:29 time: 0.5075 data_time: 0.0386 memory: 18108 grad_norm: 2.8926 loss: 4.8052 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.8306 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.9745 2023/01/31 21:42:03 - mmengine - INFO - Epoch(train) [47][1280/1879] lr: 9.9197e-02 eta: 2 days, 7:47:20 time: 0.5209 data_time: 0.0299 memory: 18108 grad_norm: 2.8682 loss: 4.6771 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7082 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.9689 2023/01/31 21:42:13 - mmengine - INFO - Epoch(train) [47][1300/1879] lr: 9.9196e-02 eta: 2 days, 7:47:10 time: 0.5169 data_time: 0.0430 memory: 18108 grad_norm: 2.9475 loss: 4.8489 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7889 top1_acc_1: 0.4471 top5_acc_1: 0.7412 loss_cls_1: 2.0600 2023/01/31 21:42:23 - mmengine - INFO - Epoch(train) [47][1320/1879] lr: 9.9194e-02 eta: 2 days, 7:47:01 time: 0.5259 data_time: 0.0299 memory: 18108 grad_norm: 2.9150 loss: 4.8349 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8555 top1_acc_1: 0.4353 top5_acc_1: 0.7176 loss_cls_1: 1.9794 2023/01/31 21:42:34 - mmengine - INFO - Epoch(train) [47][1340/1879] lr: 9.9193e-02 eta: 2 days, 7:46:51 time: 0.5141 data_time: 0.0382 memory: 18108 grad_norm: 2.8835 loss: 4.7501 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8540 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.8961 2023/01/31 21:42:44 - mmengine - INFO - Epoch(train) [47][1360/1879] lr: 9.9192e-02 eta: 2 days, 7:46:42 time: 0.5283 data_time: 0.0314 memory: 18108 grad_norm: 2.9342 loss: 4.4605 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4885 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.9720 2023/01/31 21:42:55 - mmengine - INFO - Epoch(train) [47][1380/1879] lr: 9.9190e-02 eta: 2 days, 7:46:33 time: 0.5208 data_time: 0.0368 memory: 18108 grad_norm: 2.9501 loss: 4.8524 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.9040 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.9483 2023/01/31 21:43:05 - mmengine - INFO - Epoch(train) [47][1400/1879] lr: 9.9189e-02 eta: 2 days, 7:46:24 time: 0.5177 data_time: 0.0286 memory: 18108 grad_norm: 2.9164 loss: 4.8603 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7947 top1_acc_1: 0.4471 top5_acc_1: 0.7882 loss_cls_1: 2.0656 2023/01/31 21:43:15 - mmengine - INFO - Epoch(train) [47][1420/1879] lr: 9.9188e-02 eta: 2 days, 7:46:14 time: 0.5188 data_time: 0.0389 memory: 18108 grad_norm: 2.9640 loss: 4.6694 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7510 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.9185 2023/01/31 21:43:26 - mmengine - INFO - Epoch(train) [47][1440/1879] lr: 9.9186e-02 eta: 2 days, 7:46:06 time: 0.5380 data_time: 0.0370 memory: 18108 grad_norm: 2.9273 loss: 4.8791 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8449 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 2.0342 2023/01/31 21:43:37 - mmengine - INFO - Epoch(train) [47][1460/1879] lr: 9.9185e-02 eta: 2 days, 7:45:57 time: 0.5169 data_time: 0.0369 memory: 18108 grad_norm: 2.8679 loss: 4.4977 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5154 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.9823 2023/01/31 21:43:47 - mmengine - INFO - Epoch(train) [47][1480/1879] lr: 9.9184e-02 eta: 2 days, 7:45:47 time: 0.5177 data_time: 0.0313 memory: 18108 grad_norm: 2.9151 loss: 4.6865 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7364 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.9502 2023/01/31 21:43:57 - mmengine - INFO - Epoch(train) [47][1500/1879] lr: 9.9182e-02 eta: 2 days, 7:45:38 time: 0.5188 data_time: 0.0445 memory: 18108 grad_norm: 2.9113 loss: 4.8115 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8092 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 2.0023 2023/01/31 21:44:08 - mmengine - INFO - Epoch(train) [47][1520/1879] lr: 9.9181e-02 eta: 2 days, 7:45:29 time: 0.5248 data_time: 0.0300 memory: 18108 grad_norm: 2.9137 loss: 4.6833 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6356 top1_acc_1: 0.4235 top5_acc_1: 0.7412 loss_cls_1: 2.0477 2023/01/31 21:44:18 - mmengine - INFO - Epoch(train) [47][1540/1879] lr: 9.9180e-02 eta: 2 days, 7:45:18 time: 0.5098 data_time: 0.0384 memory: 18108 grad_norm: 2.9759 loss: 4.9084 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8652 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 2.0433 2023/01/31 21:44:28 - mmengine - INFO - Epoch(train) [47][1560/1879] lr: 9.9178e-02 eta: 2 days, 7:45:08 time: 0.5046 data_time: 0.0300 memory: 18108 grad_norm: 2.9308 loss: 4.9681 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9193 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0487 2023/01/31 21:44:31 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 21:44:39 - mmengine - INFO - Epoch(train) [47][1580/1879] lr: 9.9177e-02 eta: 2 days, 7:44:58 time: 0.5191 data_time: 0.0461 memory: 18108 grad_norm: 2.8667 loss: 4.5093 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5069 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0023 2023/01/31 21:44:49 - mmengine - INFO - Epoch(train) [47][1600/1879] lr: 9.9175e-02 eta: 2 days, 7:44:47 time: 0.5037 data_time: 0.0303 memory: 18108 grad_norm: 2.8575 loss: 4.6941 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.6424 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.0517 2023/01/31 21:44:59 - mmengine - INFO - Epoch(train) [47][1620/1879] lr: 9.9174e-02 eta: 2 days, 7:44:37 time: 0.5076 data_time: 0.0373 memory: 18108 grad_norm: 2.9101 loss: 4.9129 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.8607 top1_acc_1: 0.4588 top5_acc_1: 0.7647 loss_cls_1: 2.0522 2023/01/31 21:45:09 - mmengine - INFO - Epoch(train) [47][1640/1879] lr: 9.9173e-02 eta: 2 days, 7:44:27 time: 0.5113 data_time: 0.0301 memory: 18108 grad_norm: 2.8461 loss: 4.5091 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5823 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9269 2023/01/31 21:45:19 - mmengine - INFO - Epoch(train) [47][1660/1879] lr: 9.9171e-02 eta: 2 days, 7:44:17 time: 0.5121 data_time: 0.0385 memory: 18108 grad_norm: 2.9424 loss: 4.9212 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8350 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 2.0862 2023/01/31 21:45:29 - mmengine - INFO - Epoch(train) [47][1680/1879] lr: 9.9170e-02 eta: 2 days, 7:44:05 time: 0.4984 data_time: 0.0299 memory: 18108 grad_norm: 3.0179 loss: 5.0047 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9895 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 2.0153 2023/01/31 21:45:39 - mmengine - INFO - Epoch(train) [47][1700/1879] lr: 9.9169e-02 eta: 2 days, 7:43:55 time: 0.5136 data_time: 0.0366 memory: 18108 grad_norm: 2.9024 loss: 4.6441 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.7129 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.9312 2023/01/31 21:45:50 - mmengine - INFO - Epoch(train) [47][1720/1879] lr: 9.9167e-02 eta: 2 days, 7:43:46 time: 0.5257 data_time: 0.0399 memory: 18108 grad_norm: 2.8350 loss: 4.7133 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7009 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 2.0124 2023/01/31 21:46:00 - mmengine - INFO - Epoch(train) [47][1740/1879] lr: 9.9166e-02 eta: 2 days, 7:43:36 time: 0.5105 data_time: 0.0373 memory: 18108 grad_norm: 2.9349 loss: 5.1215 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.1047 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.0168 2023/01/31 21:46:10 - mmengine - INFO - Epoch(train) [47][1760/1879] lr: 9.9165e-02 eta: 2 days, 7:43:25 time: 0.4997 data_time: 0.0304 memory: 18108 grad_norm: 2.8321 loss: 4.5898 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.6236 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9662 2023/01/31 21:46:21 - mmengine - INFO - Epoch(train) [47][1780/1879] lr: 9.9163e-02 eta: 2 days, 7:43:16 time: 0.5192 data_time: 0.0440 memory: 18108 grad_norm: 2.8903 loss: 4.7746 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7539 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0207 2023/01/31 21:46:31 - mmengine - INFO - Epoch(train) [47][1800/1879] lr: 9.9162e-02 eta: 2 days, 7:43:05 time: 0.5105 data_time: 0.0298 memory: 18108 grad_norm: 2.8360 loss: 4.6761 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6615 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.0146 2023/01/31 21:46:41 - mmengine - INFO - Epoch(train) [47][1820/1879] lr: 9.9160e-02 eta: 2 days, 7:42:55 time: 0.5041 data_time: 0.0397 memory: 18108 grad_norm: 2.9150 loss: 4.5865 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5719 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 2.0146 2023/01/31 21:46:51 - mmengine - INFO - Epoch(train) [47][1840/1879] lr: 9.9159e-02 eta: 2 days, 7:42:44 time: 0.5051 data_time: 0.0306 memory: 18108 grad_norm: 2.8954 loss: 5.0714 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.0934 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.9779 2023/01/31 21:47:01 - mmengine - INFO - Epoch(train) [47][1860/1879] lr: 9.9158e-02 eta: 2 days, 7:42:34 time: 0.5145 data_time: 0.0390 memory: 18108 grad_norm: 2.8874 loss: 4.5827 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6231 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.9597 2023/01/31 21:47:10 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 21:47:10 - mmengine - INFO - Epoch(train) [47][1879/1879] lr: 9.9156e-02 eta: 2 days, 7:42:22 time: 0.4801 data_time: 0.0261 memory: 18108 grad_norm: 2.9671 loss: 4.7717 top1_acc_0: 0.1429 top5_acc_0: 0.5714 loss_cls_0: 2.8313 top1_acc_1: 0.4824 top5_acc_1: 0.8118 loss_cls_1: 1.9404 2023/01/31 21:47:25 - mmengine - INFO - Epoch(train) [48][ 20/1879] lr: 9.9155e-02 eta: 2 days, 7:42:28 time: 0.7005 data_time: 0.2613 memory: 18108 grad_norm: 2.8956 loss: 4.8465 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9134 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.9331 2023/01/31 21:47:35 - mmengine - INFO - Epoch(train) [48][ 40/1879] lr: 9.9154e-02 eta: 2 days, 7:42:15 time: 0.4700 data_time: 0.0330 memory: 18108 grad_norm: 2.8680 loss: 4.7535 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.7689 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.9847 2023/01/31 21:47:44 - mmengine - INFO - Epoch(train) [48][ 60/1879] lr: 9.9152e-02 eta: 2 days, 7:42:01 time: 0.4764 data_time: 0.0383 memory: 18108 grad_norm: 2.9148 loss: 4.7634 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.8355 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.9280 2023/01/31 21:47:54 - mmengine - INFO - Epoch(train) [48][ 80/1879] lr: 9.9151e-02 eta: 2 days, 7:41:51 time: 0.5050 data_time: 0.0413 memory: 18108 grad_norm: 2.8805 loss: 4.8050 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8470 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.9580 2023/01/31 21:48:04 - mmengine - INFO - Epoch(train) [48][ 100/1879] lr: 9.9149e-02 eta: 2 days, 7:41:38 time: 0.4862 data_time: 0.0375 memory: 18108 grad_norm: 2.9390 loss: 4.5871 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6643 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.9228 2023/01/31 21:48:13 - mmengine - INFO - Epoch(train) [48][ 120/1879] lr: 9.9148e-02 eta: 2 days, 7:41:25 time: 0.4718 data_time: 0.0362 memory: 18108 grad_norm: 2.9033 loss: 4.5427 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6774 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.8653 2023/01/31 21:48:23 - mmengine - INFO - Epoch(train) [48][ 140/1879] lr: 9.9147e-02 eta: 2 days, 7:41:13 time: 0.4937 data_time: 0.0363 memory: 18108 grad_norm: 2.9289 loss: 4.5957 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7077 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8880 2023/01/31 21:48:33 - mmengine - INFO - Epoch(train) [48][ 160/1879] lr: 9.9145e-02 eta: 2 days, 7:41:01 time: 0.4888 data_time: 0.0373 memory: 18108 grad_norm: 2.9871 loss: 4.8298 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8151 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0147 2023/01/31 21:48:43 - mmengine - INFO - Epoch(train) [48][ 180/1879] lr: 9.9144e-02 eta: 2 days, 7:40:49 time: 0.4881 data_time: 0.0366 memory: 18108 grad_norm: 2.9738 loss: 4.7104 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6534 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 2.0571 2023/01/31 21:48:52 - mmengine - INFO - Epoch(train) [48][ 200/1879] lr: 9.9143e-02 eta: 2 days, 7:40:35 time: 0.4737 data_time: 0.0330 memory: 18108 grad_norm: 2.9517 loss: 4.7274 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7231 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 2.0043 2023/01/31 21:49:02 - mmengine - INFO - Epoch(train) [48][ 220/1879] lr: 9.9141e-02 eta: 2 days, 7:40:23 time: 0.4942 data_time: 0.0389 memory: 18108 grad_norm: 2.8742 loss: 4.7773 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8682 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.9091 2023/01/31 21:49:12 - mmengine - INFO - Epoch(train) [48][ 240/1879] lr: 9.9140e-02 eta: 2 days, 7:40:11 time: 0.4847 data_time: 0.0334 memory: 18108 grad_norm: 2.9116 loss: 4.3361 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3754 top1_acc_1: 0.4706 top5_acc_1: 0.8000 loss_cls_1: 1.9607 2023/01/31 21:49:22 - mmengine - INFO - Epoch(train) [48][ 260/1879] lr: 9.9138e-02 eta: 2 days, 7:39:59 time: 0.4945 data_time: 0.0357 memory: 18108 grad_norm: 2.8981 loss: 4.5497 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6205 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 1.9292 2023/01/31 21:49:32 - mmengine - INFO - Epoch(train) [48][ 280/1879] lr: 9.9137e-02 eta: 2 days, 7:39:48 time: 0.5009 data_time: 0.0318 memory: 18108 grad_norm: 2.9210 loss: 4.9183 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9599 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.9584 2023/01/31 21:49:42 - mmengine - INFO - Epoch(train) [48][ 300/1879] lr: 9.9136e-02 eta: 2 days, 7:39:37 time: 0.5040 data_time: 0.0404 memory: 18108 grad_norm: 2.9216 loss: 4.8094 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 2.9563 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8532 2023/01/31 21:49:52 - mmengine - INFO - Epoch(train) [48][ 320/1879] lr: 9.9134e-02 eta: 2 days, 7:39:27 time: 0.5050 data_time: 0.0329 memory: 18108 grad_norm: 2.9505 loss: 4.6763 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6835 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.9928 2023/01/31 21:50:02 - mmengine - INFO - Epoch(train) [48][ 340/1879] lr: 9.9133e-02 eta: 2 days, 7:39:16 time: 0.5035 data_time: 0.0332 memory: 18108 grad_norm: 2.9110 loss: 4.6828 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7068 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.9760 2023/01/31 21:50:12 - mmengine - INFO - Epoch(train) [48][ 360/1879] lr: 9.9131e-02 eta: 2 days, 7:39:04 time: 0.4951 data_time: 0.0314 memory: 18108 grad_norm: 2.9038 loss: 4.6758 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7329 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.9429 2023/01/31 21:50:22 - mmengine - INFO - Epoch(train) [48][ 380/1879] lr: 9.9130e-02 eta: 2 days, 7:38:54 time: 0.5067 data_time: 0.0458 memory: 18108 grad_norm: 2.9064 loss: 4.8851 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9647 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.9204 2023/01/31 21:50:32 - mmengine - INFO - Epoch(train) [48][ 400/1879] lr: 9.9129e-02 eta: 2 days, 7:38:43 time: 0.5110 data_time: 0.0323 memory: 18108 grad_norm: 2.9510 loss: 4.5774 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.5761 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0013 2023/01/31 21:50:43 - mmengine - INFO - Epoch(train) [48][ 420/1879] lr: 9.9127e-02 eta: 2 days, 7:38:33 time: 0.5060 data_time: 0.0355 memory: 18108 grad_norm: 2.9770 loss: 4.7430 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6825 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 2.0604 2023/01/31 21:50:53 - mmengine - INFO - Epoch(train) [48][ 440/1879] lr: 9.9126e-02 eta: 2 days, 7:38:23 time: 0.5122 data_time: 0.0387 memory: 18108 grad_norm: 2.8955 loss: 4.7796 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7040 top1_acc_1: 0.4118 top5_acc_1: 0.7059 loss_cls_1: 2.0757 2023/01/31 21:51:03 - mmengine - INFO - Epoch(train) [48][ 460/1879] lr: 9.9124e-02 eta: 2 days, 7:38:12 time: 0.5026 data_time: 0.0337 memory: 18108 grad_norm: 2.8461 loss: 4.7245 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7287 top1_acc_1: 0.6588 top5_acc_1: 0.7529 loss_cls_1: 1.9958 2023/01/31 21:51:13 - mmengine - INFO - Epoch(train) [48][ 480/1879] lr: 9.9123e-02 eta: 2 days, 7:38:01 time: 0.5029 data_time: 0.0290 memory: 18108 grad_norm: 2.9920 loss: 4.4798 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.5366 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9433 2023/01/31 21:51:23 - mmengine - INFO - Epoch(train) [48][ 500/1879] lr: 9.9122e-02 eta: 2 days, 7:37:50 time: 0.5022 data_time: 0.0344 memory: 18108 grad_norm: 2.9357 loss: 4.5290 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5678 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.9612 2023/01/31 21:51:33 - mmengine - INFO - Epoch(train) [48][ 520/1879] lr: 9.9120e-02 eta: 2 days, 7:37:39 time: 0.4980 data_time: 0.0292 memory: 18108 grad_norm: 2.9169 loss: 4.5575 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6443 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.9132 2023/01/31 21:51:43 - mmengine - INFO - Epoch(train) [48][ 540/1879] lr: 9.9119e-02 eta: 2 days, 7:37:28 time: 0.5070 data_time: 0.0377 memory: 18108 grad_norm: 2.9180 loss: 4.9542 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9774 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.9768 2023/01/31 21:51:53 - mmengine - INFO - Epoch(train) [48][ 560/1879] lr: 9.9117e-02 eta: 2 days, 7:37:16 time: 0.4947 data_time: 0.0327 memory: 18108 grad_norm: 2.8443 loss: 4.6465 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6935 top1_acc_1: 0.4588 top5_acc_1: 0.7647 loss_cls_1: 1.9530 2023/01/31 21:52:03 - mmengine - INFO - Epoch(train) [48][ 580/1879] lr: 9.9116e-02 eta: 2 days, 7:37:06 time: 0.5124 data_time: 0.0453 memory: 18108 grad_norm: 2.9503 loss: 4.7226 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8005 top1_acc_1: 0.4588 top5_acc_1: 0.7765 loss_cls_1: 1.9221 2023/01/31 21:52:13 - mmengine - INFO - Epoch(train) [48][ 600/1879] lr: 9.9115e-02 eta: 2 days, 7:36:55 time: 0.4977 data_time: 0.0304 memory: 18108 grad_norm: 2.8955 loss: 4.6706 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7387 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.9319 2023/01/31 21:52:23 - mmengine - INFO - Epoch(train) [48][ 620/1879] lr: 9.9113e-02 eta: 2 days, 7:36:44 time: 0.5006 data_time: 0.0385 memory: 18108 grad_norm: 2.9433 loss: 4.6652 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7300 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.9351 2023/01/31 21:52:33 - mmengine - INFO - Epoch(train) [48][ 640/1879] lr: 9.9112e-02 eta: 2 days, 7:36:33 time: 0.4998 data_time: 0.0363 memory: 18108 grad_norm: 2.9441 loss: 4.7554 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.7794 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.9760 2023/01/31 21:52:43 - mmengine - INFO - Epoch(train) [48][ 660/1879] lr: 9.9110e-02 eta: 2 days, 7:36:22 time: 0.5022 data_time: 0.0381 memory: 18108 grad_norm: 2.9359 loss: 4.5308 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6990 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.8318 2023/01/31 21:52:53 - mmengine - INFO - Epoch(train) [48][ 680/1879] lr: 9.9109e-02 eta: 2 days, 7:36:11 time: 0.5039 data_time: 0.0302 memory: 18108 grad_norm: 2.8946 loss: 4.6609 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.7227 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.9382 2023/01/31 21:52:57 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 21:53:03 - mmengine - INFO - Epoch(train) [48][ 700/1879] lr: 9.9107e-02 eta: 2 days, 7:36:00 time: 0.5043 data_time: 0.0389 memory: 18108 grad_norm: 2.9291 loss: 4.9183 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9181 top1_acc_1: 0.4941 top5_acc_1: 0.6706 loss_cls_1: 2.0002 2023/01/31 21:53:14 - mmengine - INFO - Epoch(train) [48][ 720/1879] lr: 9.9106e-02 eta: 2 days, 7:35:50 time: 0.5134 data_time: 0.0314 memory: 18108 grad_norm: 2.9393 loss: 4.7641 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7422 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.0219 2023/01/31 21:53:24 - mmengine - INFO - Epoch(train) [48][ 740/1879] lr: 9.9105e-02 eta: 2 days, 7:35:40 time: 0.5124 data_time: 0.0385 memory: 18108 grad_norm: 2.9028 loss: 4.8291 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7231 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.1060 2023/01/31 21:53:34 - mmengine - INFO - Epoch(train) [48][ 760/1879] lr: 9.9103e-02 eta: 2 days, 7:35:30 time: 0.5058 data_time: 0.0299 memory: 18108 grad_norm: 2.9129 loss: 4.7481 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7002 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 2.0479 2023/01/31 21:53:44 - mmengine - INFO - Epoch(train) [48][ 780/1879] lr: 9.9102e-02 eta: 2 days, 7:35:19 time: 0.5104 data_time: 0.0456 memory: 18108 grad_norm: 2.9240 loss: 4.6480 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6671 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9809 2023/01/31 21:53:55 - mmengine - INFO - Epoch(train) [48][ 800/1879] lr: 9.9100e-02 eta: 2 days, 7:35:09 time: 0.5100 data_time: 0.0283 memory: 18108 grad_norm: 2.9642 loss: 4.5311 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6401 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 1.8911 2023/01/31 21:54:05 - mmengine - INFO - Epoch(train) [48][ 820/1879] lr: 9.9099e-02 eta: 2 days, 7:34:59 time: 0.5059 data_time: 0.0359 memory: 18108 grad_norm: 2.9454 loss: 4.6748 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7232 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.9516 2023/01/31 21:54:15 - mmengine - INFO - Epoch(train) [48][ 840/1879] lr: 9.9098e-02 eta: 2 days, 7:34:48 time: 0.5056 data_time: 0.0313 memory: 18108 grad_norm: 2.9165 loss: 4.6963 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.7667 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9296 2023/01/31 21:54:25 - mmengine - INFO - Epoch(train) [48][ 860/1879] lr: 9.9096e-02 eta: 2 days, 7:34:36 time: 0.4966 data_time: 0.0382 memory: 18108 grad_norm: 2.9596 loss: 5.0470 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9674 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 2.0795 2023/01/31 21:54:35 - mmengine - INFO - Epoch(train) [48][ 880/1879] lr: 9.9095e-02 eta: 2 days, 7:34:27 time: 0.5227 data_time: 0.0301 memory: 18108 grad_norm: 2.8637 loss: 4.5569 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5839 top1_acc_1: 0.4000 top5_acc_1: 0.7647 loss_cls_1: 1.9731 2023/01/31 21:54:45 - mmengine - INFO - Epoch(train) [48][ 900/1879] lr: 9.9093e-02 eta: 2 days, 7:34:17 time: 0.5148 data_time: 0.0363 memory: 18108 grad_norm: 2.8913 loss: 4.7040 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6360 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 2.0681 2023/01/31 21:54:56 - mmengine - INFO - Epoch(train) [48][ 920/1879] lr: 9.9092e-02 eta: 2 days, 7:34:07 time: 0.5110 data_time: 0.0403 memory: 18108 grad_norm: 2.9419 loss: 4.7679 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7996 top1_acc_1: 0.4824 top5_acc_1: 0.7882 loss_cls_1: 1.9683 2023/01/31 21:55:06 - mmengine - INFO - Epoch(train) [48][ 940/1879] lr: 9.9090e-02 eta: 2 days, 7:33:57 time: 0.5136 data_time: 0.0347 memory: 18108 grad_norm: 2.8989 loss: 4.6753 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.6993 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9760 2023/01/31 21:55:16 - mmengine - INFO - Epoch(train) [48][ 960/1879] lr: 9.9089e-02 eta: 2 days, 7:33:46 time: 0.5031 data_time: 0.0336 memory: 18108 grad_norm: 2.9299 loss: 4.7926 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8213 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.9713 2023/01/31 21:55:26 - mmengine - INFO - Epoch(train) [48][ 980/1879] lr: 9.9088e-02 eta: 2 days, 7:33:36 time: 0.5047 data_time: 0.0354 memory: 18108 grad_norm: 2.8991 loss: 4.5292 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.5232 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.0061 2023/01/31 21:55:37 - mmengine - INFO - Epoch(train) [48][1000/1879] lr: 9.9086e-02 eta: 2 days, 7:33:26 time: 0.5181 data_time: 0.0359 memory: 18108 grad_norm: 2.8301 loss: 4.5661 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.5745 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9916 2023/01/31 21:55:47 - mmengine - INFO - Epoch(train) [48][1020/1879] lr: 9.9085e-02 eta: 2 days, 7:33:16 time: 0.5085 data_time: 0.0348 memory: 18108 grad_norm: 2.9423 loss: 4.7037 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7009 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 2.0028 2023/01/31 21:55:57 - mmengine - INFO - Epoch(train) [48][1040/1879] lr: 9.9083e-02 eta: 2 days, 7:33:05 time: 0.5001 data_time: 0.0340 memory: 18108 grad_norm: 2.9052 loss: 4.7730 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7112 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0617 2023/01/31 21:56:07 - mmengine - INFO - Epoch(train) [48][1060/1879] lr: 9.9082e-02 eta: 2 days, 7:32:53 time: 0.4989 data_time: 0.0396 memory: 18108 grad_norm: 2.9153 loss: 4.6630 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6106 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 2.0524 2023/01/31 21:56:17 - mmengine - INFO - Epoch(train) [48][1080/1879] lr: 9.9080e-02 eta: 2 days, 7:32:43 time: 0.5065 data_time: 0.0347 memory: 18108 grad_norm: 2.9724 loss: 4.8239 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7714 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 2.0525 2023/01/31 21:56:27 - mmengine - INFO - Epoch(train) [48][1100/1879] lr: 9.9079e-02 eta: 2 days, 7:32:32 time: 0.5042 data_time: 0.0360 memory: 18108 grad_norm: 2.9088 loss: 4.7298 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8081 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.9216 2023/01/31 21:56:37 - mmengine - INFO - Epoch(train) [48][1120/1879] lr: 9.9077e-02 eta: 2 days, 7:32:21 time: 0.5057 data_time: 0.0405 memory: 18108 grad_norm: 2.9615 loss: 4.9642 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8875 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 2.0768 2023/01/31 21:56:47 - mmengine - INFO - Epoch(train) [48][1140/1879] lr: 9.9076e-02 eta: 2 days, 7:32:12 time: 0.5226 data_time: 0.0335 memory: 18108 grad_norm: 2.9478 loss: 4.7724 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7636 top1_acc_1: 0.5412 top5_acc_1: 0.7059 loss_cls_1: 2.0088 2023/01/31 21:56:58 - mmengine - INFO - Epoch(train) [48][1160/1879] lr: 9.9075e-02 eta: 2 days, 7:32:03 time: 0.5164 data_time: 0.0327 memory: 18108 grad_norm: 2.9487 loss: 4.9198 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9560 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 1.9638 2023/01/31 21:57:08 - mmengine - INFO - Epoch(train) [48][1180/1879] lr: 9.9073e-02 eta: 2 days, 7:31:53 time: 0.5197 data_time: 0.0367 memory: 18108 grad_norm: 2.9111 loss: 4.8091 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8006 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.0085 2023/01/31 21:57:19 - mmengine - INFO - Epoch(train) [48][1200/1879] lr: 9.9072e-02 eta: 2 days, 7:31:44 time: 0.5222 data_time: 0.0332 memory: 18108 grad_norm: 2.8767 loss: 4.6967 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6852 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 2.0115 2023/01/31 21:57:29 - mmengine - INFO - Epoch(train) [48][1220/1879] lr: 9.9070e-02 eta: 2 days, 7:31:35 time: 0.5234 data_time: 0.0335 memory: 18108 grad_norm: 2.8991 loss: 4.7071 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7608 top1_acc_1: 0.4118 top5_acc_1: 0.6353 loss_cls_1: 1.9463 2023/01/31 21:57:39 - mmengine - INFO - Epoch(train) [48][1240/1879] lr: 9.9069e-02 eta: 2 days, 7:31:25 time: 0.5152 data_time: 0.0334 memory: 18108 grad_norm: 2.9481 loss: 4.7262 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7483 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 1.9779 2023/01/31 21:57:50 - mmengine - INFO - Epoch(train) [48][1260/1879] lr: 9.9067e-02 eta: 2 days, 7:31:16 time: 0.5233 data_time: 0.0399 memory: 18108 grad_norm: 2.9179 loss: 4.6289 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6433 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.9856 2023/01/31 21:58:00 - mmengine - INFO - Epoch(train) [48][1280/1879] lr: 9.9066e-02 eta: 2 days, 7:31:07 time: 0.5252 data_time: 0.0332 memory: 18108 grad_norm: 2.8581 loss: 4.6068 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6693 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9376 2023/01/31 21:58:11 - mmengine - INFO - Epoch(train) [48][1300/1879] lr: 9.9064e-02 eta: 2 days, 7:30:57 time: 0.5094 data_time: 0.0334 memory: 18108 grad_norm: 2.8783 loss: 4.8809 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8456 top1_acc_1: 0.4588 top5_acc_1: 0.7294 loss_cls_1: 2.0353 2023/01/31 21:58:21 - mmengine - INFO - Epoch(train) [48][1320/1879] lr: 9.9063e-02 eta: 2 days, 7:30:47 time: 0.5220 data_time: 0.0406 memory: 18108 grad_norm: 2.9028 loss: 4.9637 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8505 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.1133 2023/01/31 21:58:31 - mmengine - INFO - Epoch(train) [48][1340/1879] lr: 9.9062e-02 eta: 2 days, 7:30:38 time: 0.5173 data_time: 0.0352 memory: 18108 grad_norm: 2.9481 loss: 4.6265 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5968 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 2.0297 2023/01/31 21:58:42 - mmengine - INFO - Epoch(train) [48][1360/1879] lr: 9.9060e-02 eta: 2 days, 7:30:28 time: 0.5156 data_time: 0.0348 memory: 18108 grad_norm: 2.9690 loss: 4.7211 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7670 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9541 2023/01/31 21:58:52 - mmengine - INFO - Epoch(train) [48][1380/1879] lr: 9.9059e-02 eta: 2 days, 7:30:18 time: 0.5105 data_time: 0.0338 memory: 18108 grad_norm: 2.9536 loss: 4.8667 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8982 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.9685 2023/01/31 21:59:03 - mmengine - INFO - Epoch(train) [48][1400/1879] lr: 9.9057e-02 eta: 2 days, 7:30:11 time: 0.5474 data_time: 0.0369 memory: 18108 grad_norm: 2.8754 loss: 4.7855 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 2.7815 top1_acc_1: 0.5412 top5_acc_1: 0.7059 loss_cls_1: 2.0040 2023/01/31 21:59:13 - mmengine - INFO - Epoch(train) [48][1420/1879] lr: 9.9056e-02 eta: 2 days, 7:30:01 time: 0.5156 data_time: 0.0341 memory: 18108 grad_norm: 2.9117 loss: 4.7406 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7351 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 2.0055 2023/01/31 21:59:24 - mmengine - INFO - Epoch(train) [48][1440/1879] lr: 9.9054e-02 eta: 2 days, 7:29:51 time: 0.5139 data_time: 0.0330 memory: 18108 grad_norm: 2.9135 loss: 5.0342 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 3.0189 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 2.0152 2023/01/31 21:59:34 - mmengine - INFO - Epoch(train) [48][1460/1879] lr: 9.9053e-02 eta: 2 days, 7:29:43 time: 0.5292 data_time: 0.0422 memory: 18108 grad_norm: 2.9019 loss: 4.7768 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7656 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 2.0112 2023/01/31 21:59:44 - mmengine - INFO - Epoch(train) [48][1480/1879] lr: 9.9051e-02 eta: 2 days, 7:29:33 time: 0.5172 data_time: 0.0321 memory: 18108 grad_norm: 2.8594 loss: 4.5749 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6147 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.9602 2023/01/31 21:59:55 - mmengine - INFO - Epoch(train) [48][1500/1879] lr: 9.9050e-02 eta: 2 days, 7:29:22 time: 0.5074 data_time: 0.0339 memory: 18108 grad_norm: 2.9718 loss: 4.7614 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.7302 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0312 2023/01/31 22:00:05 - mmengine - INFO - Epoch(train) [48][1520/1879] lr: 9.9048e-02 eta: 2 days, 7:29:13 time: 0.5236 data_time: 0.0400 memory: 18108 grad_norm: 2.9474 loss: 4.7282 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6859 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 2.0423 2023/01/31 22:00:16 - mmengine - INFO - Epoch(train) [48][1540/1879] lr: 9.9047e-02 eta: 2 days, 7:29:04 time: 0.5206 data_time: 0.0357 memory: 18108 grad_norm: 2.9022 loss: 4.7315 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7246 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.0069 2023/01/31 22:00:26 - mmengine - INFO - Epoch(train) [48][1560/1879] lr: 9.9046e-02 eta: 2 days, 7:28:55 time: 0.5220 data_time: 0.0323 memory: 18108 grad_norm: 2.9012 loss: 4.7438 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8028 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.9409 2023/01/31 22:00:36 - mmengine - INFO - Epoch(train) [48][1580/1879] lr: 9.9044e-02 eta: 2 days, 7:28:44 time: 0.5053 data_time: 0.0315 memory: 18108 grad_norm: 2.9051 loss: 4.7769 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7543 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.0226 2023/01/31 22:00:47 - mmengine - INFO - Epoch(train) [48][1600/1879] lr: 9.9043e-02 eta: 2 days, 7:28:35 time: 0.5223 data_time: 0.0375 memory: 18108 grad_norm: 2.9228 loss: 4.9524 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.8109 top1_acc_1: 0.5176 top5_acc_1: 0.8353 loss_cls_1: 2.1415 2023/01/31 22:00:57 - mmengine - INFO - Epoch(train) [48][1620/1879] lr: 9.9041e-02 eta: 2 days, 7:28:25 time: 0.5183 data_time: 0.0341 memory: 18108 grad_norm: 2.8868 loss: 4.9033 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9400 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.9633 2023/01/31 22:01:07 - mmengine - INFO - Epoch(train) [48][1640/1879] lr: 9.9040e-02 eta: 2 days, 7:28:16 time: 0.5174 data_time: 0.0317 memory: 18108 grad_norm: 2.8852 loss: 4.7182 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7425 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.9757 2023/01/31 22:01:18 - mmengine - INFO - Epoch(train) [48][1660/1879] lr: 9.9038e-02 eta: 2 days, 7:28:07 time: 0.5241 data_time: 0.0336 memory: 18108 grad_norm: 2.8510 loss: 4.4467 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5349 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9117 2023/01/31 22:01:28 - mmengine - INFO - Epoch(train) [48][1680/1879] lr: 9.9037e-02 eta: 2 days, 7:27:57 time: 0.5161 data_time: 0.0330 memory: 18108 grad_norm: 2.9167 loss: 4.6035 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6337 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.9697 2023/01/31 22:01:32 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 22:01:38 - mmengine - INFO - Epoch(train) [48][1700/1879] lr: 9.9035e-02 eta: 2 days, 7:27:47 time: 0.5144 data_time: 0.0346 memory: 18108 grad_norm: 2.9086 loss: 4.8168 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.7898 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.0269 2023/01/31 22:01:49 - mmengine - INFO - Epoch(train) [48][1720/1879] lr: 9.9034e-02 eta: 2 days, 7:27:38 time: 0.5217 data_time: 0.0339 memory: 18108 grad_norm: 2.9056 loss: 4.6424 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7743 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8681 2023/01/31 22:01:59 - mmengine - INFO - Epoch(train) [48][1740/1879] lr: 9.9032e-02 eta: 2 days, 7:27:27 time: 0.5074 data_time: 0.0489 memory: 18108 grad_norm: 2.8712 loss: 4.6523 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6032 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0490 2023/01/31 22:02:09 - mmengine - INFO - Epoch(train) [48][1760/1879] lr: 9.9031e-02 eta: 2 days, 7:27:18 time: 0.5259 data_time: 0.0316 memory: 18108 grad_norm: 2.8966 loss: 4.8313 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8345 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9967 2023/01/31 22:02:20 - mmengine - INFO - Epoch(train) [48][1780/1879] lr: 9.9029e-02 eta: 2 days, 7:27:08 time: 0.5068 data_time: 0.0378 memory: 18108 grad_norm: 2.9118 loss: 4.8580 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8215 top1_acc_1: 0.4588 top5_acc_1: 0.7059 loss_cls_1: 2.0365 2023/01/31 22:02:30 - mmengine - INFO - Epoch(train) [48][1800/1879] lr: 9.9028e-02 eta: 2 days, 7:27:00 time: 0.5378 data_time: 0.0304 memory: 18108 grad_norm: 2.9001 loss: 4.4732 top1_acc_0: 0.3750 top5_acc_0: 0.9375 loss_cls_0: 2.4989 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.9743 2023/01/31 22:02:41 - mmengine - INFO - Epoch(train) [48][1820/1879] lr: 9.9026e-02 eta: 2 days, 7:26:51 time: 0.5304 data_time: 0.0414 memory: 18108 grad_norm: 2.9265 loss: 4.7608 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7731 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.9877 2023/01/31 22:02:52 - mmengine - INFO - Epoch(train) [48][1840/1879] lr: 9.9025e-02 eta: 2 days, 7:26:43 time: 0.5289 data_time: 0.0334 memory: 18108 grad_norm: 2.8936 loss: 4.5340 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5598 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.9741 2023/01/31 22:03:02 - mmengine - INFO - Epoch(train) [48][1860/1879] lr: 9.9023e-02 eta: 2 days, 7:26:34 time: 0.5274 data_time: 0.0277 memory: 18108 grad_norm: 2.8741 loss: 4.7516 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.8246 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.9269 2023/01/31 22:03:12 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 22:03:12 - mmengine - INFO - Epoch(train) [48][1879/1879] lr: 9.9022e-02 eta: 2 days, 7:26:24 time: 0.5125 data_time: 0.0314 memory: 18108 grad_norm: 3.0057 loss: 4.7609 top1_acc_0: 0.4286 top5_acc_0: 0.5714 loss_cls_0: 2.6568 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.1040 2023/01/31 22:03:13 - mmengine - INFO - Saving checkpoint at 48 epochs 2023/01/31 22:03:23 - mmengine - INFO - Epoch(val) [48][ 20/155] eta: 0:01:01 time: 0.4566 data_time: 0.3436 memory: 1906 2023/01/31 22:03:32 - mmengine - INFO - Epoch(val) [48][ 40/155] eta: 0:00:52 time: 0.4495 data_time: 0.3387 memory: 1906 2023/01/31 22:03:40 - mmengine - INFO - Epoch(val) [48][ 60/155] eta: 0:00:41 time: 0.4196 data_time: 0.2947 memory: 1906 2023/01/31 22:03:50 - mmengine - INFO - Epoch(val) [48][ 80/155] eta: 0:00:33 time: 0.4625 data_time: 0.3513 memory: 1906 2023/01/31 22:03:59 - mmengine - INFO - Epoch(val) [48][100/155] eta: 0:00:24 time: 0.4513 data_time: 0.3407 memory: 1906 2023/01/31 22:04:08 - mmengine - INFO - Epoch(val) [48][120/155] eta: 0:00:15 time: 0.4625 data_time: 0.3498 memory: 1906 2023/01/31 22:04:17 - mmengine - INFO - Epoch(val) [48][140/155] eta: 0:00:06 time: 0.4396 data_time: 0.3284 memory: 1906 2023/01/31 22:04:24 - mmengine - INFO - Epoch(val) [48][155/155] acc/top1: 0.4318 acc/top5: 0.6972 acc/mean1: 0.4316 2023/01/31 22:04:24 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_20.pth is removed 2023/01/31 22:04:26 - mmengine - INFO - The best checkpoint with 0.4318 acc/top1 at 48 epoch is saved to best_acc/top1_epoch_48.pth. 2023/01/31 22:04:39 - mmengine - INFO - Epoch(train) [49][ 20/1879] lr: 9.9021e-02 eta: 2 days, 7:26:29 time: 0.6842 data_time: 0.2398 memory: 18108 grad_norm: 2.9013 loss: 4.5736 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5809 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9928 2023/01/31 22:04:49 - mmengine - INFO - Epoch(train) [49][ 40/1879] lr: 9.9019e-02 eta: 2 days, 7:26:15 time: 0.4688 data_time: 0.0305 memory: 18108 grad_norm: 2.9283 loss: 4.7650 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8360 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.9290 2023/01/31 22:04:59 - mmengine - INFO - Epoch(train) [49][ 60/1879] lr: 9.9018e-02 eta: 2 days, 7:26:05 time: 0.5107 data_time: 0.0361 memory: 18108 grad_norm: 2.9020 loss: 4.5941 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6438 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 1.9502 2023/01/31 22:05:09 - mmengine - INFO - Epoch(train) [49][ 80/1879] lr: 9.9016e-02 eta: 2 days, 7:25:54 time: 0.5000 data_time: 0.0441 memory: 18108 grad_norm: 2.9317 loss: 4.5933 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.7063 top1_acc_1: 0.4706 top5_acc_1: 0.7059 loss_cls_1: 1.8870 2023/01/31 22:05:19 - mmengine - INFO - Epoch(train) [49][ 100/1879] lr: 9.9015e-02 eta: 2 days, 7:25:43 time: 0.4997 data_time: 0.0391 memory: 18108 grad_norm: 2.9311 loss: 4.6746 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7466 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.9281 2023/01/31 22:05:29 - mmengine - INFO - Epoch(train) [49][ 120/1879] lr: 9.9013e-02 eta: 2 days, 7:25:31 time: 0.4899 data_time: 0.0292 memory: 18108 grad_norm: 2.8273 loss: 4.2947 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4329 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 1.8618 2023/01/31 22:05:40 - mmengine - INFO - Epoch(train) [49][ 140/1879] lr: 9.9012e-02 eta: 2 days, 7:25:25 time: 0.5576 data_time: 0.0469 memory: 18108 grad_norm: 2.8928 loss: 4.5814 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6747 top1_acc_1: 0.4353 top5_acc_1: 0.6824 loss_cls_1: 1.9068 2023/01/31 22:05:50 - mmengine - INFO - Epoch(train) [49][ 160/1879] lr: 9.9010e-02 eta: 2 days, 7:25:12 time: 0.4884 data_time: 0.0294 memory: 18108 grad_norm: 2.9189 loss: 4.5289 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6770 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8519 2023/01/31 22:06:00 - mmengine - INFO - Epoch(train) [49][ 180/1879] lr: 9.9009e-02 eta: 2 days, 7:25:02 time: 0.5046 data_time: 0.0374 memory: 18108 grad_norm: 2.9472 loss: 4.4802 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.6209 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.8594 2023/01/31 22:06:10 - mmengine - INFO - Epoch(train) [49][ 200/1879] lr: 9.9007e-02 eta: 2 days, 7:24:53 time: 0.5241 data_time: 0.0308 memory: 18108 grad_norm: 2.8768 loss: 4.3605 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5757 top1_acc_1: 0.6235 top5_acc_1: 0.9176 loss_cls_1: 1.7849 2023/01/31 22:06:21 - mmengine - INFO - Epoch(train) [49][ 220/1879] lr: 9.9006e-02 eta: 2 days, 7:24:44 time: 0.5263 data_time: 0.0504 memory: 18108 grad_norm: 2.9447 loss: 4.7245 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7692 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.9552 2023/01/31 22:06:31 - mmengine - INFO - Epoch(train) [49][ 240/1879] lr: 9.9004e-02 eta: 2 days, 7:24:31 time: 0.4862 data_time: 0.0299 memory: 18108 grad_norm: 2.8975 loss: 4.5653 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6024 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 1.9629 2023/01/31 22:06:41 - mmengine - INFO - Epoch(train) [49][ 260/1879] lr: 9.9003e-02 eta: 2 days, 7:24:22 time: 0.5254 data_time: 0.0362 memory: 18108 grad_norm: 2.8811 loss: 4.8145 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8438 top1_acc_1: 0.4588 top5_acc_1: 0.8235 loss_cls_1: 1.9707 2023/01/31 22:06:52 - mmengine - INFO - Epoch(train) [49][ 280/1879] lr: 9.9001e-02 eta: 2 days, 7:24:13 time: 0.5226 data_time: 0.0390 memory: 18108 grad_norm: 2.9144 loss: 4.5121 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.5929 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9193 2023/01/31 22:07:02 - mmengine - INFO - Epoch(train) [49][ 300/1879] lr: 9.9000e-02 eta: 2 days, 7:24:03 time: 0.5099 data_time: 0.0347 memory: 18108 grad_norm: 2.9288 loss: 4.6818 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6674 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.0143 2023/01/31 22:07:12 - mmengine - INFO - Epoch(train) [49][ 320/1879] lr: 9.8998e-02 eta: 2 days, 7:23:52 time: 0.5009 data_time: 0.0274 memory: 18108 grad_norm: 2.9355 loss: 4.6623 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7117 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.9506 2023/01/31 22:07:23 - mmengine - INFO - Epoch(train) [49][ 340/1879] lr: 9.8997e-02 eta: 2 days, 7:23:44 time: 0.5391 data_time: 0.0424 memory: 18108 grad_norm: 2.9056 loss: 4.6228 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7408 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.8820 2023/01/31 22:07:33 - mmengine - INFO - Epoch(train) [49][ 360/1879] lr: 9.8995e-02 eta: 2 days, 7:23:33 time: 0.5038 data_time: 0.0294 memory: 18108 grad_norm: 2.9479 loss: 4.7035 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7707 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9328 2023/01/31 22:07:43 - mmengine - INFO - Epoch(train) [49][ 380/1879] lr: 9.8994e-02 eta: 2 days, 7:23:24 time: 0.5200 data_time: 0.0387 memory: 18108 grad_norm: 3.0113 loss: 4.7214 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8116 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.9098 2023/01/31 22:07:53 - mmengine - INFO - Epoch(train) [49][ 400/1879] lr: 9.8992e-02 eta: 2 days, 7:23:13 time: 0.5012 data_time: 0.0284 memory: 18108 grad_norm: 2.9286 loss: 4.5078 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5204 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.9874 2023/01/31 22:08:04 - mmengine - INFO - Epoch(train) [49][ 420/1879] lr: 9.8991e-02 eta: 2 days, 7:23:04 time: 0.5208 data_time: 0.0350 memory: 18108 grad_norm: 2.9712 loss: 4.7404 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8035 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.9369 2023/01/31 22:08:13 - mmengine - INFO - Epoch(train) [49][ 440/1879] lr: 9.8989e-02 eta: 2 days, 7:22:52 time: 0.4978 data_time: 0.0297 memory: 18108 grad_norm: 2.9592 loss: 4.6091 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7439 top1_acc_1: 0.4353 top5_acc_1: 0.8118 loss_cls_1: 1.8652 2023/01/31 22:08:24 - mmengine - INFO - Epoch(train) [49][ 460/1879] lr: 9.8988e-02 eta: 2 days, 7:22:44 time: 0.5283 data_time: 0.0446 memory: 18108 grad_norm: 2.9293 loss: 4.6299 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5985 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0314 2023/01/31 22:08:34 - mmengine - INFO - Epoch(train) [49][ 480/1879] lr: 9.8986e-02 eta: 2 days, 7:22:33 time: 0.5086 data_time: 0.0276 memory: 18108 grad_norm: 2.9369 loss: 4.6489 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6549 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.9939 2023/01/31 22:08:45 - mmengine - INFO - Epoch(train) [49][ 500/1879] lr: 9.8985e-02 eta: 2 days, 7:22:23 time: 0.5159 data_time: 0.0386 memory: 18108 grad_norm: 2.9693 loss: 4.6197 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6840 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.9358 2023/01/31 22:08:55 - mmengine - INFO - Epoch(train) [49][ 520/1879] lr: 9.8983e-02 eta: 2 days, 7:22:14 time: 0.5184 data_time: 0.0285 memory: 18108 grad_norm: 2.9402 loss: 4.7573 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7916 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9658 2023/01/31 22:09:05 - mmengine - INFO - Epoch(train) [49][ 540/1879] lr: 9.8982e-02 eta: 2 days, 7:22:05 time: 0.5253 data_time: 0.0448 memory: 18108 grad_norm: 2.9170 loss: 4.7524 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6651 top1_acc_1: 0.4588 top5_acc_1: 0.6824 loss_cls_1: 2.0872 2023/01/31 22:09:16 - mmengine - INFO - Epoch(train) [49][ 560/1879] lr: 9.8980e-02 eta: 2 days, 7:21:54 time: 0.5025 data_time: 0.0279 memory: 18108 grad_norm: 2.8783 loss: 4.7343 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7228 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 2.0115 2023/01/31 22:09:26 - mmengine - INFO - Epoch(train) [49][ 580/1879] lr: 9.8979e-02 eta: 2 days, 7:21:45 time: 0.5309 data_time: 0.0376 memory: 18108 grad_norm: 2.9419 loss: 4.6719 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7979 top1_acc_1: 0.4706 top5_acc_1: 0.8000 loss_cls_1: 1.8740 2023/01/31 22:09:36 - mmengine - INFO - Epoch(train) [49][ 600/1879] lr: 9.8977e-02 eta: 2 days, 7:21:34 time: 0.4993 data_time: 0.0294 memory: 18108 grad_norm: 2.9422 loss: 4.6793 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6843 top1_acc_1: 0.4941 top5_acc_1: 0.6588 loss_cls_1: 1.9950 2023/01/31 22:09:47 - mmengine - INFO - Epoch(train) [49][ 620/1879] lr: 9.8976e-02 eta: 2 days, 7:21:25 time: 0.5198 data_time: 0.0351 memory: 18108 grad_norm: 2.8829 loss: 4.7113 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.6781 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0332 2023/01/31 22:09:57 - mmengine - INFO - Epoch(train) [49][ 640/1879] lr: 9.8974e-02 eta: 2 days, 7:21:16 time: 0.5218 data_time: 0.0285 memory: 18108 grad_norm: 2.9204 loss: 4.9782 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 2.9944 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.9838 2023/01/31 22:10:07 - mmengine - INFO - Epoch(train) [49][ 660/1879] lr: 9.8972e-02 eta: 2 days, 7:21:05 time: 0.5107 data_time: 0.0350 memory: 18108 grad_norm: 2.8966 loss: 4.8611 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8470 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.0140 2023/01/31 22:10:18 - mmengine - INFO - Epoch(train) [49][ 680/1879] lr: 9.8971e-02 eta: 2 days, 7:20:56 time: 0.5194 data_time: 0.0371 memory: 18108 grad_norm: 2.9357 loss: 4.5132 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5777 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.9355 2023/01/31 22:10:28 - mmengine - INFO - Epoch(train) [49][ 700/1879] lr: 9.8969e-02 eta: 2 days, 7:20:47 time: 0.5276 data_time: 0.0354 memory: 18108 grad_norm: 3.0204 loss: 4.4900 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5924 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.8976 2023/01/31 22:10:38 - mmengine - INFO - Epoch(train) [49][ 720/1879] lr: 9.8968e-02 eta: 2 days, 7:20:36 time: 0.5058 data_time: 0.0297 memory: 18108 grad_norm: 2.9618 loss: 4.5280 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5015 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 2.0265 2023/01/31 22:10:49 - mmengine - INFO - Epoch(train) [49][ 740/1879] lr: 9.8966e-02 eta: 2 days, 7:20:27 time: 0.5212 data_time: 0.0374 memory: 18108 grad_norm: 2.9580 loss: 4.9359 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8968 top1_acc_1: 0.5529 top5_acc_1: 0.7059 loss_cls_1: 2.0391 2023/01/31 22:10:59 - mmengine - INFO - Epoch(train) [49][ 760/1879] lr: 9.8965e-02 eta: 2 days, 7:20:17 time: 0.5094 data_time: 0.0275 memory: 18108 grad_norm: 2.8789 loss: 4.5743 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.5890 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.9854 2023/01/31 22:11:09 - mmengine - INFO - Epoch(train) [49][ 780/1879] lr: 9.8963e-02 eta: 2 days, 7:20:08 time: 0.5253 data_time: 0.0355 memory: 18108 grad_norm: 2.8715 loss: 4.7666 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.8314 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 1.9351 2023/01/31 22:11:19 - mmengine - INFO - Epoch(train) [49][ 800/1879] lr: 9.8962e-02 eta: 2 days, 7:19:57 time: 0.5029 data_time: 0.0289 memory: 18108 grad_norm: 2.9807 loss: 5.0727 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 3.0520 top1_acc_1: 0.4824 top5_acc_1: 0.6941 loss_cls_1: 2.0207 2023/01/31 22:11:24 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 22:11:30 - mmengine - INFO - Epoch(train) [49][ 820/1879] lr: 9.8960e-02 eta: 2 days, 7:19:48 time: 0.5289 data_time: 0.0421 memory: 18108 grad_norm: 2.9216 loss: 4.8718 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.8871 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9847 2023/01/31 22:11:40 - mmengine - INFO - Epoch(train) [49][ 840/1879] lr: 9.8959e-02 eta: 2 days, 7:19:38 time: 0.5146 data_time: 0.0270 memory: 18108 grad_norm: 2.9122 loss: 4.7425 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7765 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.9660 2023/01/31 22:11:51 - mmengine - INFO - Epoch(train) [49][ 860/1879] lr: 9.8957e-02 eta: 2 days, 7:19:28 time: 0.5116 data_time: 0.0365 memory: 18108 grad_norm: 2.9417 loss: 4.7034 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7502 top1_acc_1: 0.4588 top5_acc_1: 0.7882 loss_cls_1: 1.9532 2023/01/31 22:12:01 - mmengine - INFO - Epoch(train) [49][ 880/1879] lr: 9.8956e-02 eta: 2 days, 7:19:18 time: 0.5092 data_time: 0.0365 memory: 18108 grad_norm: 2.9081 loss: 4.7316 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7500 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 1.9815 2023/01/31 22:12:11 - mmengine - INFO - Epoch(train) [49][ 900/1879] lr: 9.8954e-02 eta: 2 days, 7:19:09 time: 0.5234 data_time: 0.0355 memory: 18108 grad_norm: 2.8657 loss: 4.4533 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.5455 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9078 2023/01/31 22:12:22 - mmengine - INFO - Epoch(train) [49][ 920/1879] lr: 9.8953e-02 eta: 2 days, 7:18:59 time: 0.5186 data_time: 0.0299 memory: 18108 grad_norm: 2.9039 loss: 4.8728 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.8793 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9935 2023/01/31 22:12:32 - mmengine - INFO - Epoch(train) [49][ 940/1879] lr: 9.8951e-02 eta: 2 days, 7:18:50 time: 0.5165 data_time: 0.0328 memory: 18108 grad_norm: 3.0011 loss: 4.8587 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8218 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0370 2023/01/31 22:12:42 - mmengine - INFO - Epoch(train) [49][ 960/1879] lr: 9.8950e-02 eta: 2 days, 7:18:39 time: 0.5031 data_time: 0.0383 memory: 18108 grad_norm: 2.8754 loss: 4.7083 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7516 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9567 2023/01/31 22:12:52 - mmengine - INFO - Epoch(train) [49][ 980/1879] lr: 9.8948e-02 eta: 2 days, 7:18:29 time: 0.5200 data_time: 0.0348 memory: 18108 grad_norm: 2.9067 loss: 4.8092 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.8083 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.0009 2023/01/31 22:13:02 - mmengine - INFO - Epoch(train) [49][1000/1879] lr: 9.8947e-02 eta: 2 days, 7:18:18 time: 0.4997 data_time: 0.0303 memory: 18108 grad_norm: 2.8965 loss: 4.5887 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5788 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.0098 2023/01/31 22:13:13 - mmengine - INFO - Epoch(train) [49][1020/1879] lr: 9.8945e-02 eta: 2 days, 7:18:08 time: 0.5139 data_time: 0.0395 memory: 18108 grad_norm: 2.9171 loss: 4.8718 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8872 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9846 2023/01/31 22:13:23 - mmengine - INFO - Epoch(train) [49][1040/1879] lr: 9.8943e-02 eta: 2 days, 7:17:58 time: 0.5061 data_time: 0.0300 memory: 18108 grad_norm: 2.8961 loss: 4.9275 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.8825 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0451 2023/01/31 22:13:33 - mmengine - INFO - Epoch(train) [49][1060/1879] lr: 9.8942e-02 eta: 2 days, 7:17:48 time: 0.5167 data_time: 0.0337 memory: 18108 grad_norm: 2.9410 loss: 4.6968 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7600 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.9368 2023/01/31 22:13:43 - mmengine - INFO - Epoch(train) [49][1080/1879] lr: 9.8940e-02 eta: 2 days, 7:17:37 time: 0.5038 data_time: 0.0303 memory: 18108 grad_norm: 2.9314 loss: 4.8798 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9167 top1_acc_1: 0.4706 top5_acc_1: 0.6588 loss_cls_1: 1.9631 2023/01/31 22:13:54 - mmengine - INFO - Epoch(train) [49][1100/1879] lr: 9.8939e-02 eta: 2 days, 7:17:28 time: 0.5217 data_time: 0.0419 memory: 18108 grad_norm: 2.8658 loss: 5.0148 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.0360 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.9788 2023/01/31 22:14:04 - mmengine - INFO - Epoch(train) [49][1120/1879] lr: 9.8937e-02 eta: 2 days, 7:17:17 time: 0.5045 data_time: 0.0303 memory: 18108 grad_norm: 2.9211 loss: 4.4439 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.3873 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.0566 2023/01/31 22:14:14 - mmengine - INFO - Epoch(train) [49][1140/1879] lr: 9.8936e-02 eta: 2 days, 7:17:08 time: 0.5213 data_time: 0.0329 memory: 18108 grad_norm: 2.9324 loss: 4.6632 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.6887 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.9745 2023/01/31 22:14:24 - mmengine - INFO - Epoch(train) [49][1160/1879] lr: 9.8934e-02 eta: 2 days, 7:16:57 time: 0.5048 data_time: 0.0305 memory: 18108 grad_norm: 2.9486 loss: 4.8129 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7371 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 2.0758 2023/01/31 22:14:35 - mmengine - INFO - Epoch(train) [49][1180/1879] lr: 9.8933e-02 eta: 2 days, 7:16:47 time: 0.5140 data_time: 0.0338 memory: 18108 grad_norm: 2.8754 loss: 4.9561 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8440 top1_acc_1: 0.4235 top5_acc_1: 0.7647 loss_cls_1: 2.1121 2023/01/31 22:14:45 - mmengine - INFO - Epoch(train) [49][1200/1879] lr: 9.8931e-02 eta: 2 days, 7:16:36 time: 0.5020 data_time: 0.0312 memory: 18108 grad_norm: 2.8506 loss: 4.6805 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7169 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.9636 2023/01/31 22:14:55 - mmengine - INFO - Epoch(train) [49][1220/1879] lr: 9.8930e-02 eta: 2 days, 7:16:26 time: 0.5136 data_time: 0.0370 memory: 18108 grad_norm: 2.9380 loss: 4.8650 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8888 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.9762 2023/01/31 22:15:05 - mmengine - INFO - Epoch(train) [49][1240/1879] lr: 9.8928e-02 eta: 2 days, 7:16:16 time: 0.5062 data_time: 0.0364 memory: 18108 grad_norm: 2.9078 loss: 4.9763 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.9611 top1_acc_1: 0.5059 top5_acc_1: 0.7059 loss_cls_1: 2.0151 2023/01/31 22:15:15 - mmengine - INFO - Epoch(train) [49][1260/1879] lr: 9.8926e-02 eta: 2 days, 7:16:05 time: 0.5117 data_time: 0.0332 memory: 18108 grad_norm: 2.9562 loss: 4.4410 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5043 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.9367 2023/01/31 22:15:25 - mmengine - INFO - Epoch(train) [49][1280/1879] lr: 9.8925e-02 eta: 2 days, 7:15:55 time: 0.5049 data_time: 0.0305 memory: 18108 grad_norm: 2.8888 loss: 4.5338 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6013 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.9325 2023/01/31 22:15:36 - mmengine - INFO - Epoch(train) [49][1300/1879] lr: 9.8923e-02 eta: 2 days, 7:15:46 time: 0.5271 data_time: 0.0394 memory: 18108 grad_norm: 2.9296 loss: 4.6609 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6451 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 2.0158 2023/01/31 22:15:46 - mmengine - INFO - Epoch(train) [49][1320/1879] lr: 9.8922e-02 eta: 2 days, 7:15:35 time: 0.4988 data_time: 0.0316 memory: 18108 grad_norm: 2.9377 loss: 4.6716 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6621 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0096 2023/01/31 22:15:56 - mmengine - INFO - Epoch(train) [49][1340/1879] lr: 9.8920e-02 eta: 2 days, 7:15:24 time: 0.5060 data_time: 0.0346 memory: 18108 grad_norm: 2.9310 loss: 4.5590 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.5561 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 2.0029 2023/01/31 22:16:06 - mmengine - INFO - Epoch(train) [49][1360/1879] lr: 9.8919e-02 eta: 2 days, 7:15:12 time: 0.4919 data_time: 0.0307 memory: 18108 grad_norm: 2.8993 loss: 4.6647 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6609 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 2.0038 2023/01/31 22:16:16 - mmengine - INFO - Epoch(train) [49][1380/1879] lr: 9.8917e-02 eta: 2 days, 7:15:02 time: 0.5161 data_time: 0.0422 memory: 18108 grad_norm: 2.8725 loss: 4.7279 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7453 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.9826 2023/01/31 22:16:26 - mmengine - INFO - Epoch(train) [49][1400/1879] lr: 9.8916e-02 eta: 2 days, 7:14:51 time: 0.4940 data_time: 0.0319 memory: 18108 grad_norm: 2.8924 loss: 4.7252 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6606 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.0646 2023/01/31 22:16:36 - mmengine - INFO - Epoch(train) [49][1420/1879] lr: 9.8914e-02 eta: 2 days, 7:14:40 time: 0.4983 data_time: 0.0350 memory: 18108 grad_norm: 2.9445 loss: 4.8897 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8722 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0175 2023/01/31 22:16:46 - mmengine - INFO - Epoch(train) [49][1440/1879] lr: 9.8912e-02 eta: 2 days, 7:14:29 time: 0.5034 data_time: 0.0312 memory: 18108 grad_norm: 2.9135 loss: 4.9881 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 3.0051 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9830 2023/01/31 22:16:56 - mmengine - INFO - Epoch(train) [49][1460/1879] lr: 9.8911e-02 eta: 2 days, 7:14:18 time: 0.5054 data_time: 0.0419 memory: 18108 grad_norm: 2.9172 loss: 4.9287 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.8732 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 2.0555 2023/01/31 22:17:06 - mmengine - INFO - Epoch(train) [49][1480/1879] lr: 9.8909e-02 eta: 2 days, 7:14:06 time: 0.4931 data_time: 0.0316 memory: 18108 grad_norm: 2.9623 loss: 4.8565 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.8908 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9657 2023/01/31 22:17:16 - mmengine - INFO - Epoch(train) [49][1500/1879] lr: 9.8908e-02 eta: 2 days, 7:13:56 time: 0.5105 data_time: 0.0346 memory: 18108 grad_norm: 2.9307 loss: 4.6793 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6486 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.0307 2023/01/31 22:17:27 - mmengine - INFO - Epoch(train) [49][1520/1879] lr: 9.8906e-02 eta: 2 days, 7:13:46 time: 0.5116 data_time: 0.0372 memory: 18108 grad_norm: 2.9152 loss: 4.8125 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8634 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9491 2023/01/31 22:17:37 - mmengine - INFO - Epoch(train) [49][1540/1879] lr: 9.8905e-02 eta: 2 days, 7:13:35 time: 0.5028 data_time: 0.0349 memory: 18108 grad_norm: 2.9064 loss: 4.7750 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8350 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.9400 2023/01/31 22:17:47 - mmengine - INFO - Epoch(train) [49][1560/1879] lr: 9.8903e-02 eta: 2 days, 7:13:23 time: 0.4909 data_time: 0.0317 memory: 18108 grad_norm: 2.9626 loss: 4.8345 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9017 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9327 2023/01/31 22:17:57 - mmengine - INFO - Epoch(train) [49][1580/1879] lr: 9.8901e-02 eta: 2 days, 7:13:14 time: 0.5173 data_time: 0.0346 memory: 18108 grad_norm: 2.9427 loss: 4.9530 top1_acc_0: 0.3750 top5_acc_0: 0.3750 loss_cls_0: 2.9278 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0253 2023/01/31 22:18:07 - mmengine - INFO - Epoch(train) [49][1600/1879] lr: 9.8900e-02 eta: 2 days, 7:13:02 time: 0.4923 data_time: 0.0378 memory: 18108 grad_norm: 2.8647 loss: 4.5765 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6300 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.9465 2023/01/31 22:18:17 - mmengine - INFO - Epoch(train) [49][1620/1879] lr: 9.8898e-02 eta: 2 days, 7:12:51 time: 0.4986 data_time: 0.0353 memory: 18108 grad_norm: 2.8936 loss: 4.6367 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6976 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 1.9391 2023/01/31 22:18:27 - mmengine - INFO - Epoch(train) [49][1640/1879] lr: 9.8897e-02 eta: 2 days, 7:12:40 time: 0.5032 data_time: 0.0310 memory: 18108 grad_norm: 2.9568 loss: 4.8428 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8764 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 1.9665 2023/01/31 22:18:37 - mmengine - INFO - Epoch(train) [49][1660/1879] lr: 9.8895e-02 eta: 2 days, 7:12:29 time: 0.5015 data_time: 0.0355 memory: 18108 grad_norm: 2.9020 loss: 4.9188 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8686 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 2.0502 2023/01/31 22:18:47 - mmengine - INFO - Epoch(train) [49][1680/1879] lr: 9.8894e-02 eta: 2 days, 7:12:17 time: 0.4953 data_time: 0.0391 memory: 18108 grad_norm: 2.8765 loss: 4.6561 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7717 top1_acc_1: 0.4471 top5_acc_1: 0.7176 loss_cls_1: 1.8844 2023/01/31 22:18:57 - mmengine - INFO - Epoch(train) [49][1700/1879] lr: 9.8892e-02 eta: 2 days, 7:12:08 time: 0.5217 data_time: 0.0347 memory: 18108 grad_norm: 2.9320 loss: 4.6216 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.7028 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.9188 2023/01/31 22:19:07 - mmengine - INFO - Epoch(train) [49][1720/1879] lr: 9.8890e-02 eta: 2 days, 7:11:58 time: 0.5089 data_time: 0.0331 memory: 18108 grad_norm: 2.9171 loss: 4.8160 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8109 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.0051 2023/01/31 22:19:18 - mmengine - INFO - Epoch(train) [49][1740/1879] lr: 9.8889e-02 eta: 2 days, 7:11:47 time: 0.5110 data_time: 0.0463 memory: 18108 grad_norm: 2.8828 loss: 4.8262 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.7726 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 2.0537 2023/01/31 22:19:28 - mmengine - INFO - Epoch(train) [49][1760/1879] lr: 9.8887e-02 eta: 2 days, 7:11:36 time: 0.4957 data_time: 0.0321 memory: 18108 grad_norm: 2.8963 loss: 4.7887 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8068 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.9819 2023/01/31 22:19:38 - mmengine - INFO - Epoch(train) [49][1780/1879] lr: 9.8886e-02 eta: 2 days, 7:11:27 time: 0.5310 data_time: 0.0320 memory: 18108 grad_norm: 2.8574 loss: 4.5909 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6080 top1_acc_1: 0.4941 top5_acc_1: 0.8235 loss_cls_1: 1.9829 2023/01/31 22:19:48 - mmengine - INFO - Epoch(train) [49][1800/1879] lr: 9.8884e-02 eta: 2 days, 7:11:16 time: 0.4997 data_time: 0.0315 memory: 18108 grad_norm: 2.8498 loss: 4.5146 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5850 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9297 2023/01/31 22:19:52 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 22:19:58 - mmengine - INFO - Epoch(train) [49][1820/1879] lr: 9.8883e-02 eta: 2 days, 7:11:06 time: 0.5098 data_time: 0.0348 memory: 18108 grad_norm: 2.8945 loss: 4.6856 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6081 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 2.0775 2023/01/31 22:20:09 - mmengine - INFO - Epoch(train) [49][1840/1879] lr: 9.8881e-02 eta: 2 days, 7:10:56 time: 0.5134 data_time: 0.0330 memory: 18108 grad_norm: 2.9100 loss: 4.6697 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.7342 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9355 2023/01/31 22:20:19 - mmengine - INFO - Epoch(train) [49][1860/1879] lr: 9.8879e-02 eta: 2 days, 7:10:46 time: 0.5138 data_time: 0.0339 memory: 18108 grad_norm: 2.8796 loss: 4.7502 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7244 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0258 2023/01/31 22:20:28 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 22:20:28 - mmengine - INFO - Epoch(train) [49][1879/1879] lr: 9.8878e-02 eta: 2 days, 7:10:33 time: 0.4784 data_time: 0.0340 memory: 18108 grad_norm: 2.9874 loss: 4.8210 top1_acc_0: 0.1429 top5_acc_0: 0.5714 loss_cls_0: 2.8790 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.9420 2023/01/31 22:20:43 - mmengine - INFO - Epoch(train) [50][ 20/1879] lr: 9.8876e-02 eta: 2 days, 7:10:41 time: 0.7155 data_time: 0.2594 memory: 18108 grad_norm: 2.8766 loss: 4.7174 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.7613 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 1.9561 2023/01/31 22:20:52 - mmengine - INFO - Epoch(train) [50][ 40/1879] lr: 9.8875e-02 eta: 2 days, 7:10:27 time: 0.4670 data_time: 0.0321 memory: 18108 grad_norm: 2.8674 loss: 4.5101 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.5280 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 1.9821 2023/01/31 22:21:02 - mmengine - INFO - Epoch(train) [50][ 60/1879] lr: 9.8873e-02 eta: 2 days, 7:10:16 time: 0.4997 data_time: 0.0375 memory: 18108 grad_norm: 2.8764 loss: 4.4644 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.5671 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.8974 2023/01/31 22:21:13 - mmengine - INFO - Epoch(train) [50][ 80/1879] lr: 9.8871e-02 eta: 2 days, 7:10:06 time: 0.5235 data_time: 0.0409 memory: 18108 grad_norm: 2.9104 loss: 4.8727 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8925 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9802 2023/01/31 22:21:23 - mmengine - INFO - Epoch(train) [50][ 100/1879] lr: 9.8870e-02 eta: 2 days, 7:09:55 time: 0.4954 data_time: 0.0375 memory: 18108 grad_norm: 2.8944 loss: 4.4609 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5599 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.9011 2023/01/31 22:21:33 - mmengine - INFO - Epoch(train) [50][ 120/1879] lr: 9.8868e-02 eta: 2 days, 7:09:43 time: 0.4877 data_time: 0.0312 memory: 18108 grad_norm: 2.9228 loss: 4.4371 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6003 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.8368 2023/01/31 22:21:43 - mmengine - INFO - Epoch(train) [50][ 140/1879] lr: 9.8867e-02 eta: 2 days, 7:09:32 time: 0.5071 data_time: 0.0370 memory: 18108 grad_norm: 2.9627 loss: 4.5922 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6633 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.9288 2023/01/31 22:21:53 - mmengine - INFO - Epoch(train) [50][ 160/1879] lr: 9.8865e-02 eta: 2 days, 7:09:21 time: 0.4986 data_time: 0.0385 memory: 18108 grad_norm: 2.9803 loss: 4.7727 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8500 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 1.9227 2023/01/31 22:22:03 - mmengine - INFO - Epoch(train) [50][ 180/1879] lr: 9.8864e-02 eta: 2 days, 7:09:09 time: 0.4939 data_time: 0.0356 memory: 18108 grad_norm: 2.9383 loss: 4.5431 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6301 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.9130 2023/01/31 22:22:13 - mmengine - INFO - Epoch(train) [50][ 200/1879] lr: 9.8862e-02 eta: 2 days, 7:08:59 time: 0.5045 data_time: 0.0315 memory: 18108 grad_norm: 2.8867 loss: 4.8627 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.9443 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9184 2023/01/31 22:22:23 - mmengine - INFO - Epoch(train) [50][ 220/1879] lr: 9.8860e-02 eta: 2 days, 7:08:48 time: 0.5040 data_time: 0.0359 memory: 18108 grad_norm: 2.9316 loss: 4.5806 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6464 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.9342 2023/01/31 22:22:33 - mmengine - INFO - Epoch(train) [50][ 240/1879] lr: 9.8859e-02 eta: 2 days, 7:08:36 time: 0.4929 data_time: 0.0380 memory: 18108 grad_norm: 2.9324 loss: 4.6614 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.7266 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9348 2023/01/31 22:22:43 - mmengine - INFO - Epoch(train) [50][ 260/1879] lr: 9.8857e-02 eta: 2 days, 7:08:25 time: 0.4979 data_time: 0.0364 memory: 18108 grad_norm: 2.9580 loss: 4.6610 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.7309 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9301 2023/01/31 22:22:52 - mmengine - INFO - Epoch(train) [50][ 280/1879] lr: 9.8856e-02 eta: 2 days, 7:08:13 time: 0.4896 data_time: 0.0321 memory: 18108 grad_norm: 2.9356 loss: 4.7988 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.8186 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9802 2023/01/31 22:23:02 - mmengine - INFO - Epoch(train) [50][ 300/1879] lr: 9.8854e-02 eta: 2 days, 7:08:02 time: 0.5009 data_time: 0.0454 memory: 18108 grad_norm: 2.9372 loss: 4.6973 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7544 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9428 2023/01/31 22:23:13 - mmengine - INFO - Epoch(train) [50][ 320/1879] lr: 9.8852e-02 eta: 2 days, 7:07:51 time: 0.5054 data_time: 0.0316 memory: 18108 grad_norm: 2.9004 loss: 4.5148 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5272 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 1.9875 2023/01/31 22:23:23 - mmengine - INFO - Epoch(train) [50][ 340/1879] lr: 9.8851e-02 eta: 2 days, 7:07:41 time: 0.5086 data_time: 0.0367 memory: 18108 grad_norm: 2.9565 loss: 4.3322 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3849 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9472 2023/01/31 22:23:32 - mmengine - INFO - Epoch(train) [50][ 360/1879] lr: 9.8849e-02 eta: 2 days, 7:07:29 time: 0.4870 data_time: 0.0333 memory: 18108 grad_norm: 2.9589 loss: 4.7550 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9081 top1_acc_1: 0.5294 top5_acc_1: 0.8471 loss_cls_1: 1.8468 2023/01/31 22:23:42 - mmengine - INFO - Epoch(train) [50][ 380/1879] lr: 9.8847e-02 eta: 2 days, 7:07:17 time: 0.4992 data_time: 0.0384 memory: 18108 grad_norm: 2.9178 loss: 4.7902 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.7725 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 2.0177 2023/01/31 22:23:53 - mmengine - INFO - Epoch(train) [50][ 400/1879] lr: 9.8846e-02 eta: 2 days, 7:07:08 time: 0.5152 data_time: 0.0310 memory: 18108 grad_norm: 2.9312 loss: 4.6994 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5971 top1_acc_1: 0.4353 top5_acc_1: 0.7412 loss_cls_1: 2.1023 2023/01/31 22:24:03 - mmengine - INFO - Epoch(train) [50][ 420/1879] lr: 9.8844e-02 eta: 2 days, 7:06:56 time: 0.4921 data_time: 0.0348 memory: 18108 grad_norm: 2.9502 loss: 4.6392 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6033 top1_acc_1: 0.5176 top5_acc_1: 0.6824 loss_cls_1: 2.0359 2023/01/31 22:24:12 - mmengine - INFO - Epoch(train) [50][ 440/1879] lr: 9.8843e-02 eta: 2 days, 7:06:44 time: 0.4867 data_time: 0.0323 memory: 18108 grad_norm: 2.9171 loss: 4.6338 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6821 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.9517 2023/01/31 22:24:23 - mmengine - INFO - Epoch(train) [50][ 460/1879] lr: 9.8841e-02 eta: 2 days, 7:06:34 time: 0.5183 data_time: 0.0362 memory: 18108 grad_norm: 2.9473 loss: 4.8442 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9309 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9133 2023/01/31 22:24:33 - mmengine - INFO - Epoch(train) [50][ 480/1879] lr: 9.8839e-02 eta: 2 days, 7:06:22 time: 0.4915 data_time: 0.0322 memory: 18108 grad_norm: 2.9494 loss: 4.7960 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.7916 top1_acc_1: 0.4471 top5_acc_1: 0.7529 loss_cls_1: 2.0044 2023/01/31 22:24:42 - mmengine - INFO - Epoch(train) [50][ 500/1879] lr: 9.8838e-02 eta: 2 days, 7:06:10 time: 0.4914 data_time: 0.0363 memory: 18108 grad_norm: 2.9077 loss: 4.6538 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7026 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.9513 2023/01/31 22:24:52 - mmengine - INFO - Epoch(train) [50][ 520/1879] lr: 9.8836e-02 eta: 2 days, 7:05:59 time: 0.4934 data_time: 0.0312 memory: 18108 grad_norm: 2.9386 loss: 4.6407 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6877 top1_acc_1: 0.5412 top5_acc_1: 0.8471 loss_cls_1: 1.9530 2023/01/31 22:25:03 - mmengine - INFO - Epoch(train) [50][ 540/1879] lr: 9.8835e-02 eta: 2 days, 7:05:49 time: 0.5124 data_time: 0.0373 memory: 18108 grad_norm: 2.9208 loss: 4.5713 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.6733 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8980 2023/01/31 22:25:12 - mmengine - INFO - Epoch(train) [50][ 560/1879] lr: 9.8833e-02 eta: 2 days, 7:05:36 time: 0.4865 data_time: 0.0331 memory: 18108 grad_norm: 2.9475 loss: 4.8163 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.8476 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.9686 2023/01/31 22:25:22 - mmengine - INFO - Epoch(train) [50][ 580/1879] lr: 9.8831e-02 eta: 2 days, 7:05:25 time: 0.4985 data_time: 0.0361 memory: 18108 grad_norm: 2.9750 loss: 4.6851 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6993 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.9858 2023/01/31 22:25:32 - mmengine - INFO - Epoch(train) [50][ 600/1879] lr: 9.8830e-02 eta: 2 days, 7:05:14 time: 0.5050 data_time: 0.0329 memory: 18108 grad_norm: 2.9825 loss: 4.7230 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7095 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 2.0135 2023/01/31 22:25:43 - mmengine - INFO - Epoch(train) [50][ 620/1879] lr: 9.8828e-02 eta: 2 days, 7:05:05 time: 0.5169 data_time: 0.0416 memory: 18108 grad_norm: 2.9156 loss: 4.5278 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6192 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9086 2023/01/31 22:25:53 - mmengine - INFO - Epoch(train) [50][ 640/1879] lr: 9.8827e-02 eta: 2 days, 7:04:55 time: 0.5126 data_time: 0.0320 memory: 18108 grad_norm: 2.9123 loss: 4.6155 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6285 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9870 2023/01/31 22:26:03 - mmengine - INFO - Epoch(train) [50][ 660/1879] lr: 9.8825e-02 eta: 2 days, 7:04:45 time: 0.5151 data_time: 0.0369 memory: 18108 grad_norm: 2.9241 loss: 4.6213 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6417 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9796 2023/01/31 22:26:14 - mmengine - INFO - Epoch(train) [50][ 680/1879] lr: 9.8823e-02 eta: 2 days, 7:04:35 time: 0.5179 data_time: 0.0386 memory: 18108 grad_norm: 3.0150 loss: 4.6923 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6669 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 2.0254 2023/01/31 22:26:24 - mmengine - INFO - Epoch(train) [50][ 700/1879] lr: 9.8822e-02 eta: 2 days, 7:04:26 time: 0.5177 data_time: 0.0348 memory: 18108 grad_norm: 2.9573 loss: 4.7486 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7549 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9937 2023/01/31 22:26:34 - mmengine - INFO - Epoch(train) [50][ 720/1879] lr: 9.8820e-02 eta: 2 days, 7:04:15 time: 0.5111 data_time: 0.0311 memory: 18108 grad_norm: 2.9208 loss: 4.8365 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8035 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 2.0330 2023/01/31 22:26:45 - mmengine - INFO - Epoch(train) [50][ 740/1879] lr: 9.8818e-02 eta: 2 days, 7:04:06 time: 0.5256 data_time: 0.0369 memory: 18108 grad_norm: 2.9505 loss: 4.7726 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.7060 top1_acc_1: 0.6353 top5_acc_1: 0.7412 loss_cls_1: 2.0666 2023/01/31 22:26:55 - mmengine - INFO - Epoch(train) [50][ 760/1879] lr: 9.8817e-02 eta: 2 days, 7:03:57 time: 0.5137 data_time: 0.0381 memory: 18108 grad_norm: 2.9499 loss: 4.9460 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8461 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 2.0999 2023/01/31 22:27:05 - mmengine - INFO - Epoch(train) [50][ 780/1879] lr: 9.8815e-02 eta: 2 days, 7:03:47 time: 0.5158 data_time: 0.0345 memory: 18108 grad_norm: 2.9054 loss: 4.8000 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.8157 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.9843 2023/01/31 22:27:16 - mmengine - INFO - Epoch(train) [50][ 800/1879] lr: 9.8813e-02 eta: 2 days, 7:03:37 time: 0.5205 data_time: 0.0306 memory: 18108 grad_norm: 2.8863 loss: 4.7181 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8058 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.9123 2023/01/31 22:27:26 - mmengine - INFO - Epoch(train) [50][ 820/1879] lr: 9.8812e-02 eta: 2 days, 7:03:29 time: 0.5333 data_time: 0.0356 memory: 18108 grad_norm: 2.9452 loss: 4.7521 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7966 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.9555 2023/01/31 22:27:37 - mmengine - INFO - Epoch(train) [50][ 840/1879] lr: 9.8810e-02 eta: 2 days, 7:03:21 time: 0.5331 data_time: 0.0355 memory: 18108 grad_norm: 2.9791 loss: 4.8332 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7907 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 2.0426 2023/01/31 22:27:48 - mmengine - INFO - Epoch(train) [50][ 860/1879] lr: 9.8809e-02 eta: 2 days, 7:03:12 time: 0.5339 data_time: 0.0347 memory: 18108 grad_norm: 2.9306 loss: 4.6423 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.7098 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9325 2023/01/31 22:27:58 - mmengine - INFO - Epoch(train) [50][ 880/1879] lr: 9.8807e-02 eta: 2 days, 7:03:03 time: 0.5254 data_time: 0.0329 memory: 18108 grad_norm: 2.9786 loss: 4.5994 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5599 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 2.0396 2023/01/31 22:28:09 - mmengine - INFO - Epoch(train) [50][ 900/1879] lr: 9.8805e-02 eta: 2 days, 7:02:54 time: 0.5241 data_time: 0.0340 memory: 18108 grad_norm: 2.9694 loss: 4.8016 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7487 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 2.0529 2023/01/31 22:28:19 - mmengine - INFO - Epoch(train) [50][ 920/1879] lr: 9.8804e-02 eta: 2 days, 7:02:45 time: 0.5238 data_time: 0.0324 memory: 18108 grad_norm: 2.9202 loss: 4.9486 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8505 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 2.0981 2023/01/31 22:28:24 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 22:28:30 - mmengine - INFO - Epoch(train) [50][ 940/1879] lr: 9.8802e-02 eta: 2 days, 7:02:35 time: 0.5131 data_time: 0.0340 memory: 18108 grad_norm: 2.8710 loss: 4.6205 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6414 top1_acc_1: 0.4706 top5_acc_1: 0.7882 loss_cls_1: 1.9792 2023/01/31 22:28:40 - mmengine - INFO - Epoch(train) [50][ 960/1879] lr: 9.8800e-02 eta: 2 days, 7:02:26 time: 0.5170 data_time: 0.0331 memory: 18108 grad_norm: 2.8915 loss: 4.6414 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6033 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.0381 2023/01/31 22:28:50 - mmengine - INFO - Epoch(train) [50][ 980/1879] lr: 9.8799e-02 eta: 2 days, 7:02:15 time: 0.5076 data_time: 0.0361 memory: 18108 grad_norm: 2.9194 loss: 4.7102 top1_acc_0: 0.1875 top5_acc_0: 0.2500 loss_cls_0: 2.7561 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.9541 2023/01/31 22:29:00 - mmengine - INFO - Epoch(train) [50][1000/1879] lr: 9.8797e-02 eta: 2 days, 7:02:05 time: 0.5153 data_time: 0.0328 memory: 18108 grad_norm: 2.8847 loss: 4.4770 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6108 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.8663 2023/01/31 22:29:11 - mmengine - INFO - Epoch(train) [50][1020/1879] lr: 9.8795e-02 eta: 2 days, 7:01:55 time: 0.5148 data_time: 0.0348 memory: 18108 grad_norm: 2.8427 loss: 4.7110 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.7285 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.9825 2023/01/31 22:29:21 - mmengine - INFO - Epoch(train) [50][1040/1879] lr: 9.8794e-02 eta: 2 days, 7:01:45 time: 0.5102 data_time: 0.0319 memory: 18108 grad_norm: 2.9760 loss: 4.7392 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 2.6634 top1_acc_1: 0.4353 top5_acc_1: 0.7294 loss_cls_1: 2.0758 2023/01/31 22:29:31 - mmengine - INFO - Epoch(train) [50][1060/1879] lr: 9.8792e-02 eta: 2 days, 7:01:35 time: 0.5146 data_time: 0.0357 memory: 18108 grad_norm: 2.9858 loss: 4.5221 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5731 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.9490 2023/01/31 22:29:41 - mmengine - INFO - Epoch(train) [50][1080/1879] lr: 9.8791e-02 eta: 2 days, 7:01:25 time: 0.5076 data_time: 0.0323 memory: 18108 grad_norm: 2.8663 loss: 4.7324 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.7756 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9569 2023/01/31 22:29:52 - mmengine - INFO - Epoch(train) [50][1100/1879] lr: 9.8789e-02 eta: 2 days, 7:01:15 time: 0.5196 data_time: 0.0361 memory: 18108 grad_norm: 2.9171 loss: 4.6966 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.7298 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.9668 2023/01/31 22:30:02 - mmengine - INFO - Epoch(train) [50][1120/1879] lr: 9.8787e-02 eta: 2 days, 7:01:04 time: 0.5039 data_time: 0.0315 memory: 18108 grad_norm: 2.9545 loss: 4.7357 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.7274 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 2.0083 2023/01/31 22:30:12 - mmengine - INFO - Epoch(train) [50][1140/1879] lr: 9.8786e-02 eta: 2 days, 7:00:55 time: 0.5217 data_time: 0.0354 memory: 18108 grad_norm: 2.9642 loss: 4.8094 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8858 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.9235 2023/01/31 22:30:23 - mmengine - INFO - Epoch(train) [50][1160/1879] lr: 9.8784e-02 eta: 2 days, 7:00:45 time: 0.5170 data_time: 0.0297 memory: 18108 grad_norm: 2.8708 loss: 4.7461 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7311 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 2.0150 2023/01/31 22:30:33 - mmengine - INFO - Epoch(train) [50][1180/1879] lr: 9.8782e-02 eta: 2 days, 7:00:35 time: 0.5135 data_time: 0.0367 memory: 18108 grad_norm: 2.9623 loss: 4.5959 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7039 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.8921 2023/01/31 22:30:43 - mmengine - INFO - Epoch(train) [50][1200/1879] lr: 9.8781e-02 eta: 2 days, 7:00:25 time: 0.5126 data_time: 0.0342 memory: 18108 grad_norm: 2.8718 loss: 4.6817 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6563 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 2.0254 2023/01/31 22:30:53 - mmengine - INFO - Epoch(train) [50][1220/1879] lr: 9.8779e-02 eta: 2 days, 7:00:16 time: 0.5169 data_time: 0.0430 memory: 18108 grad_norm: 2.8737 loss: 4.4613 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5330 top1_acc_1: 0.5412 top5_acc_1: 0.8824 loss_cls_1: 1.9283 2023/01/31 22:31:04 - mmengine - INFO - Epoch(train) [50][1240/1879] lr: 9.8777e-02 eta: 2 days, 7:00:06 time: 0.5134 data_time: 0.0302 memory: 18108 grad_norm: 2.8938 loss: 4.8357 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8371 top1_acc_1: 0.5176 top5_acc_1: 0.6824 loss_cls_1: 1.9985 2023/01/31 22:31:14 - mmengine - INFO - Epoch(train) [50][1260/1879] lr: 9.8776e-02 eta: 2 days, 6:59:55 time: 0.5087 data_time: 0.0381 memory: 18108 grad_norm: 2.9134 loss: 4.6185 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6282 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 1.9903 2023/01/31 22:31:24 - mmengine - INFO - Epoch(train) [50][1280/1879] lr: 9.8774e-02 eta: 2 days, 6:59:46 time: 0.5190 data_time: 0.0317 memory: 18108 grad_norm: 2.9531 loss: 4.7044 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6635 top1_acc_1: 0.3647 top5_acc_1: 0.6824 loss_cls_1: 2.0408 2023/01/31 22:31:35 - mmengine - INFO - Epoch(train) [50][1300/1879] lr: 9.8772e-02 eta: 2 days, 6:59:37 time: 0.5229 data_time: 0.0358 memory: 18108 grad_norm: 2.9272 loss: 4.7834 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8732 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 1.9103 2023/01/31 22:31:45 - mmengine - INFO - Epoch(train) [50][1320/1879] lr: 9.8771e-02 eta: 2 days, 6:59:26 time: 0.5035 data_time: 0.0330 memory: 18108 grad_norm: 2.9045 loss: 4.8978 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8779 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.0199 2023/01/31 22:31:55 - mmengine - INFO - Epoch(train) [50][1340/1879] lr: 9.8769e-02 eta: 2 days, 6:59:17 time: 0.5261 data_time: 0.0361 memory: 18108 grad_norm: 2.9720 loss: 4.8474 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7175 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 2.1298 2023/01/31 22:32:06 - mmengine - INFO - Epoch(train) [50][1360/1879] lr: 9.8767e-02 eta: 2 days, 6:59:07 time: 0.5129 data_time: 0.0328 memory: 18108 grad_norm: 2.9075 loss: 4.4783 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5606 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.9177 2023/01/31 22:32:16 - mmengine - INFO - Epoch(train) [50][1380/1879] lr: 9.8766e-02 eta: 2 days, 6:58:58 time: 0.5263 data_time: 0.0421 memory: 18108 grad_norm: 2.9201 loss: 4.8132 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8523 top1_acc_1: 0.4353 top5_acc_1: 0.7529 loss_cls_1: 1.9609 2023/01/31 22:32:26 - mmengine - INFO - Epoch(train) [50][1400/1879] lr: 9.8764e-02 eta: 2 days, 6:58:48 time: 0.5139 data_time: 0.0318 memory: 18108 grad_norm: 2.9825 loss: 4.8406 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8522 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.9885 2023/01/31 22:32:37 - mmengine - INFO - Epoch(train) [50][1420/1879] lr: 9.8762e-02 eta: 2 days, 6:58:38 time: 0.5081 data_time: 0.0379 memory: 18108 grad_norm: 2.9597 loss: 4.6193 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6700 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.9493 2023/01/31 22:32:47 - mmengine - INFO - Epoch(train) [50][1440/1879] lr: 9.8761e-02 eta: 2 days, 6:58:28 time: 0.5178 data_time: 0.0315 memory: 18108 grad_norm: 2.9513 loss: 4.6629 top1_acc_0: 0.3750 top5_acc_0: 0.3750 loss_cls_0: 2.6778 top1_acc_1: 0.4706 top5_acc_1: 0.8000 loss_cls_1: 1.9851 2023/01/31 22:32:57 - mmengine - INFO - Epoch(train) [50][1460/1879] lr: 9.8759e-02 eta: 2 days, 6:58:18 time: 0.5084 data_time: 0.0358 memory: 18108 grad_norm: 2.9292 loss: 4.6889 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6708 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 2.0180 2023/01/31 22:33:07 - mmengine - INFO - Epoch(train) [50][1480/1879] lr: 9.8757e-02 eta: 2 days, 6:58:07 time: 0.5100 data_time: 0.0314 memory: 18108 grad_norm: 2.9393 loss: 4.7432 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7098 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.0333 2023/01/31 22:33:18 - mmengine - INFO - Epoch(train) [50][1500/1879] lr: 9.8756e-02 eta: 2 days, 6:57:57 time: 0.5160 data_time: 0.0343 memory: 18108 grad_norm: 2.9028 loss: 4.9006 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.9166 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.9840 2023/01/31 22:33:28 - mmengine - INFO - Epoch(train) [50][1520/1879] lr: 9.8754e-02 eta: 2 days, 6:57:48 time: 0.5228 data_time: 0.0325 memory: 18108 grad_norm: 2.8422 loss: 4.5969 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6883 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.9086 2023/01/31 22:33:39 - mmengine - INFO - Epoch(train) [50][1540/1879] lr: 9.8752e-02 eta: 2 days, 6:57:39 time: 0.5214 data_time: 0.0355 memory: 18108 grad_norm: 2.8915 loss: 4.9551 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8566 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.0986 2023/01/31 22:33:49 - mmengine - INFO - Epoch(train) [50][1560/1879] lr: 9.8751e-02 eta: 2 days, 6:57:28 time: 0.5079 data_time: 0.0323 memory: 18108 grad_norm: 2.9241 loss: 4.8899 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8791 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 2.0108 2023/01/31 22:33:59 - mmengine - INFO - Epoch(train) [50][1580/1879] lr: 9.8749e-02 eta: 2 days, 6:57:20 time: 0.5330 data_time: 0.0334 memory: 18108 grad_norm: 2.8950 loss: 4.8152 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8061 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 2.0091 2023/01/31 22:34:10 - mmengine - INFO - Epoch(train) [50][1600/1879] lr: 9.8747e-02 eta: 2 days, 6:57:10 time: 0.5114 data_time: 0.0302 memory: 18108 grad_norm: 2.8774 loss: 4.7637 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7798 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.9839 2023/01/31 22:34:20 - mmengine - INFO - Epoch(train) [50][1620/1879] lr: 9.8746e-02 eta: 2 days, 6:57:00 time: 0.5123 data_time: 0.0355 memory: 18108 grad_norm: 2.9004 loss: 4.8466 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7823 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 2.0643 2023/01/31 22:34:30 - mmengine - INFO - Epoch(train) [50][1640/1879] lr: 9.8744e-02 eta: 2 days, 6:56:50 time: 0.5184 data_time: 0.0320 memory: 18108 grad_norm: 2.8844 loss: 4.4807 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.4641 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.0166 2023/01/31 22:34:41 - mmengine - INFO - Epoch(train) [50][1660/1879] lr: 9.8742e-02 eta: 2 days, 6:56:40 time: 0.5114 data_time: 0.0426 memory: 18108 grad_norm: 2.9251 loss: 4.8276 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8539 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9737 2023/01/31 22:34:51 - mmengine - INFO - Epoch(train) [50][1680/1879] lr: 9.8741e-02 eta: 2 days, 6:56:31 time: 0.5202 data_time: 0.0309 memory: 18108 grad_norm: 2.9403 loss: 4.8436 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.8071 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.0365 2023/01/31 22:35:01 - mmengine - INFO - Epoch(train) [50][1700/1879] lr: 9.8739e-02 eta: 2 days, 6:56:21 time: 0.5118 data_time: 0.0367 memory: 18108 grad_norm: 2.8961 loss: 4.7185 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7025 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.0160 2023/01/31 22:35:12 - mmengine - INFO - Epoch(train) [50][1720/1879] lr: 9.8737e-02 eta: 2 days, 6:56:12 time: 0.5261 data_time: 0.0300 memory: 18108 grad_norm: 2.9500 loss: 4.6402 top1_acc_0: 0.2500 top5_acc_0: 0.8750 loss_cls_0: 2.7081 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.9321 2023/01/31 22:35:22 - mmengine - INFO - Epoch(train) [50][1740/1879] lr: 9.8736e-02 eta: 2 days, 6:56:02 time: 0.5136 data_time: 0.0417 memory: 18108 grad_norm: 2.9584 loss: 4.6072 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6036 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.0035 2023/01/31 22:35:32 - mmengine - INFO - Epoch(train) [50][1760/1879] lr: 9.8734e-02 eta: 2 days, 6:55:51 time: 0.5035 data_time: 0.0335 memory: 18108 grad_norm: 2.9561 loss: 4.6720 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6597 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0123 2023/01/31 22:35:42 - mmengine - INFO - Epoch(train) [50][1780/1879] lr: 9.8732e-02 eta: 2 days, 6:55:41 time: 0.5114 data_time: 0.0364 memory: 18108 grad_norm: 2.8787 loss: 5.0550 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 3.0071 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0479 2023/01/31 22:35:52 - mmengine - INFO - Epoch(train) [50][1800/1879] lr: 9.8731e-02 eta: 2 days, 6:55:30 time: 0.5009 data_time: 0.0326 memory: 18108 grad_norm: 2.8796 loss: 4.7391 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7284 top1_acc_1: 0.4941 top5_acc_1: 0.6588 loss_cls_1: 2.0108 2023/01/31 22:36:02 - mmengine - INFO - Epoch(train) [50][1820/1879] lr: 9.8729e-02 eta: 2 days, 6:55:19 time: 0.5074 data_time: 0.0433 memory: 18108 grad_norm: 2.8926 loss: 4.6080 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6302 top1_acc_1: 0.4941 top5_acc_1: 0.8118 loss_cls_1: 1.9777 2023/01/31 22:36:13 - mmengine - INFO - Epoch(train) [50][1840/1879] lr: 9.8727e-02 eta: 2 days, 6:55:09 time: 0.5167 data_time: 0.0301 memory: 18108 grad_norm: 2.8976 loss: 4.7415 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7946 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.9469 2023/01/31 22:36:23 - mmengine - INFO - Epoch(train) [50][1860/1879] lr: 9.8725e-02 eta: 2 days, 6:54:59 time: 0.5117 data_time: 0.0368 memory: 18108 grad_norm: 2.9200 loss: 4.8760 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.9599 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.9160 2023/01/31 22:36:32 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 22:36:32 - mmengine - INFO - Epoch(train) [50][1879/1879] lr: 9.8724e-02 eta: 2 days, 6:54:47 time: 0.4853 data_time: 0.0286 memory: 18108 grad_norm: 2.9177 loss: 4.7813 top1_acc_0: 0.2857 top5_acc_0: 0.7143 loss_cls_0: 2.8602 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9211 2023/01/31 22:36:47 - mmengine - INFO - Epoch(train) [51][ 20/1879] lr: 9.8722e-02 eta: 2 days, 6:54:53 time: 0.7083 data_time: 0.2317 memory: 18108 grad_norm: 2.9002 loss: 4.6325 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7110 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 1.9215 2023/01/31 22:36:57 - mmengine - INFO - Epoch(train) [51][ 40/1879] lr: 9.8721e-02 eta: 2 days, 6:54:41 time: 0.4843 data_time: 0.0297 memory: 18108 grad_norm: 2.8988 loss: 4.7452 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7840 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.9612 2023/01/31 22:37:02 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 22:37:07 - mmengine - INFO - Epoch(train) [51][ 60/1879] lr: 9.8719e-02 eta: 2 days, 6:54:30 time: 0.5004 data_time: 0.0361 memory: 18108 grad_norm: 2.8774 loss: 4.4625 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5515 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.9110 2023/01/31 22:37:17 - mmengine - INFO - Epoch(train) [51][ 80/1879] lr: 9.8717e-02 eta: 2 days, 6:54:22 time: 0.5327 data_time: 0.0277 memory: 18108 grad_norm: 2.9279 loss: 4.4810 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.5542 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9268 2023/01/31 22:37:27 - mmengine - INFO - Epoch(train) [51][ 100/1879] lr: 9.8715e-02 eta: 2 days, 6:54:10 time: 0.4936 data_time: 0.0358 memory: 18108 grad_norm: 3.0041 loss: 4.4454 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5999 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8454 2023/01/31 22:37:37 - mmengine - INFO - Epoch(train) [51][ 120/1879] lr: 9.8714e-02 eta: 2 days, 6:53:58 time: 0.4913 data_time: 0.0283 memory: 18108 grad_norm: 2.9714 loss: 4.5846 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.6721 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.9125 2023/01/31 22:37:47 - mmengine - INFO - Epoch(train) [51][ 140/1879] lr: 9.8712e-02 eta: 2 days, 6:53:48 time: 0.5135 data_time: 0.0382 memory: 18108 grad_norm: 2.9133 loss: 4.7420 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 2.7463 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9957 2023/01/31 22:37:57 - mmengine - INFO - Epoch(train) [51][ 160/1879] lr: 9.8710e-02 eta: 2 days, 6:53:37 time: 0.4986 data_time: 0.0287 memory: 18108 grad_norm: 2.9360 loss: 4.5786 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6109 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9677 2023/01/31 22:38:07 - mmengine - INFO - Epoch(train) [51][ 180/1879] lr: 9.8709e-02 eta: 2 days, 6:53:25 time: 0.4889 data_time: 0.0383 memory: 18108 grad_norm: 2.9151 loss: 4.8341 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8498 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.9843 2023/01/31 22:38:17 - mmengine - INFO - Epoch(train) [51][ 200/1879] lr: 9.8707e-02 eta: 2 days, 6:53:14 time: 0.5070 data_time: 0.0300 memory: 18108 grad_norm: 2.9742 loss: 4.6511 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.7876 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.8635 2023/01/31 22:38:28 - mmengine - INFO - Epoch(train) [51][ 220/1879] lr: 9.8705e-02 eta: 2 days, 6:53:04 time: 0.5141 data_time: 0.0441 memory: 18108 grad_norm: 2.9256 loss: 4.4055 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4835 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.9220 2023/01/31 22:38:37 - mmengine - INFO - Epoch(train) [51][ 240/1879] lr: 9.8704e-02 eta: 2 days, 6:52:53 time: 0.4900 data_time: 0.0297 memory: 18108 grad_norm: 2.9577 loss: 4.6598 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7591 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9006 2023/01/31 22:38:49 - mmengine - INFO - Epoch(train) [51][ 260/1879] lr: 9.8702e-02 eta: 2 days, 6:52:47 time: 0.5692 data_time: 0.1016 memory: 18108 grad_norm: 2.9085 loss: 4.6424 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6678 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.9746 2023/01/31 22:38:59 - mmengine - INFO - Epoch(train) [51][ 280/1879] lr: 9.8700e-02 eta: 2 days, 6:52:36 time: 0.5018 data_time: 0.0288 memory: 18108 grad_norm: 2.9247 loss: 4.5387 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.6998 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.8388 2023/01/31 22:39:09 - mmengine - INFO - Epoch(train) [51][ 300/1879] lr: 9.8698e-02 eta: 2 days, 6:52:25 time: 0.4993 data_time: 0.0372 memory: 18108 grad_norm: 2.8864 loss: 4.3759 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5057 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8703 2023/01/31 22:39:19 - mmengine - INFO - Epoch(train) [51][ 320/1879] lr: 9.8697e-02 eta: 2 days, 6:52:14 time: 0.4995 data_time: 0.0307 memory: 18108 grad_norm: 2.9397 loss: 4.9357 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.9097 top1_acc_1: 0.5059 top5_acc_1: 0.8353 loss_cls_1: 2.0260 2023/01/31 22:39:29 - mmengine - INFO - Epoch(train) [51][ 340/1879] lr: 9.8695e-02 eta: 2 days, 6:52:04 time: 0.5096 data_time: 0.0365 memory: 18108 grad_norm: 2.8934 loss: 4.5978 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7133 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8845 2023/01/31 22:39:39 - mmengine - INFO - Epoch(train) [51][ 360/1879] lr: 9.8693e-02 eta: 2 days, 6:51:52 time: 0.4949 data_time: 0.0308 memory: 18108 grad_norm: 2.9395 loss: 4.7895 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8864 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9030 2023/01/31 22:39:49 - mmengine - INFO - Epoch(train) [51][ 380/1879] lr: 9.8692e-02 eta: 2 days, 6:51:41 time: 0.4976 data_time: 0.0387 memory: 18108 grad_norm: 2.9109 loss: 4.6185 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6553 top1_acc_1: 0.5882 top5_acc_1: 0.7294 loss_cls_1: 1.9632 2023/01/31 22:39:59 - mmengine - INFO - Epoch(train) [51][ 400/1879] lr: 9.8690e-02 eta: 2 days, 6:51:29 time: 0.4956 data_time: 0.0291 memory: 18108 grad_norm: 2.9965 loss: 4.6461 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7196 top1_acc_1: 0.6471 top5_acc_1: 0.7765 loss_cls_1: 1.9265 2023/01/31 22:40:09 - mmengine - INFO - Epoch(train) [51][ 420/1879] lr: 9.8688e-02 eta: 2 days, 6:51:19 time: 0.5148 data_time: 0.0430 memory: 18108 grad_norm: 2.9031 loss: 4.8410 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8663 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.9747 2023/01/31 22:40:19 - mmengine - INFO - Epoch(train) [51][ 440/1879] lr: 9.8686e-02 eta: 2 days, 6:51:08 time: 0.5011 data_time: 0.0298 memory: 18108 grad_norm: 2.9098 loss: 4.8130 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8356 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.9773 2023/01/31 22:40:30 - mmengine - INFO - Epoch(train) [51][ 460/1879] lr: 9.8685e-02 eta: 2 days, 6:50:59 time: 0.5198 data_time: 0.0381 memory: 18108 grad_norm: 2.9562 loss: 4.8434 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.9787 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.8647 2023/01/31 22:40:40 - mmengine - INFO - Epoch(train) [51][ 480/1879] lr: 9.8683e-02 eta: 2 days, 6:50:48 time: 0.5038 data_time: 0.0281 memory: 18108 grad_norm: 2.9571 loss: 4.7488 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7707 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 1.9781 2023/01/31 22:40:50 - mmengine - INFO - Epoch(train) [51][ 500/1879] lr: 9.8681e-02 eta: 2 days, 6:50:38 time: 0.5098 data_time: 0.0390 memory: 18108 grad_norm: 2.8801 loss: 4.6272 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6417 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9855 2023/01/31 22:41:00 - mmengine - INFO - Epoch(train) [51][ 520/1879] lr: 9.8680e-02 eta: 2 days, 6:50:28 time: 0.5130 data_time: 0.0295 memory: 18108 grad_norm: 2.8872 loss: 4.7873 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.8437 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 1.9437 2023/01/31 22:41:10 - mmengine - INFO - Epoch(train) [51][ 540/1879] lr: 9.8678e-02 eta: 2 days, 6:50:17 time: 0.5074 data_time: 0.0365 memory: 18108 grad_norm: 2.9612 loss: 4.7915 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7828 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 2.0087 2023/01/31 22:41:20 - mmengine - INFO - Epoch(train) [51][ 560/1879] lr: 9.8676e-02 eta: 2 days, 6:50:07 time: 0.5048 data_time: 0.0306 memory: 18108 grad_norm: 2.8860 loss: 4.4888 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.5219 top1_acc_1: 0.4588 top5_acc_1: 0.7294 loss_cls_1: 1.9669 2023/01/31 22:41:30 - mmengine - INFO - Epoch(train) [51][ 580/1879] lr: 9.8674e-02 eta: 2 days, 6:49:56 time: 0.5024 data_time: 0.0346 memory: 18108 grad_norm: 2.9488 loss: 4.6331 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6814 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9517 2023/01/31 22:41:41 - mmengine - INFO - Epoch(train) [51][ 600/1879] lr: 9.8673e-02 eta: 2 days, 6:49:46 time: 0.5205 data_time: 0.0286 memory: 18108 grad_norm: 2.9399 loss: 4.7593 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.8025 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.9569 2023/01/31 22:41:51 - mmengine - INFO - Epoch(train) [51][ 620/1879] lr: 9.8671e-02 eta: 2 days, 6:49:36 time: 0.5044 data_time: 0.0371 memory: 18108 grad_norm: 2.9455 loss: 4.3740 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4253 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 1.9487 2023/01/31 22:42:01 - mmengine - INFO - Epoch(train) [51][ 640/1879] lr: 9.8669e-02 eta: 2 days, 6:49:24 time: 0.4966 data_time: 0.0287 memory: 18108 grad_norm: 2.9681 loss: 4.6655 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7139 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.9516 2023/01/31 22:42:11 - mmengine - INFO - Epoch(train) [51][ 660/1879] lr: 9.8667e-02 eta: 2 days, 6:49:15 time: 0.5176 data_time: 0.0377 memory: 18108 grad_norm: 2.9436 loss: 4.7572 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7702 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.9870 2023/01/31 22:42:21 - mmengine - INFO - Epoch(train) [51][ 680/1879] lr: 9.8666e-02 eta: 2 days, 6:49:04 time: 0.5072 data_time: 0.0310 memory: 18108 grad_norm: 2.9006 loss: 4.4824 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4840 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.9984 2023/01/31 22:42:32 - mmengine - INFO - Epoch(train) [51][ 700/1879] lr: 9.8664e-02 eta: 2 days, 6:48:54 time: 0.5100 data_time: 0.0416 memory: 18108 grad_norm: 2.9034 loss: 4.6015 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7838 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.8177 2023/01/31 22:42:42 - mmengine - INFO - Epoch(train) [51][ 720/1879] lr: 9.8662e-02 eta: 2 days, 6:48:44 time: 0.5166 data_time: 0.0283 memory: 18108 grad_norm: 2.9423 loss: 4.6736 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6736 top1_acc_1: 0.4706 top5_acc_1: 0.6588 loss_cls_1: 1.9999 2023/01/31 22:42:52 - mmengine - INFO - Epoch(train) [51][ 740/1879] lr: 9.8661e-02 eta: 2 days, 6:48:35 time: 0.5209 data_time: 0.0422 memory: 18108 grad_norm: 2.9429 loss: 4.7013 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6792 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.0221 2023/01/31 22:43:02 - mmengine - INFO - Epoch(train) [51][ 760/1879] lr: 9.8659e-02 eta: 2 days, 6:48:24 time: 0.5043 data_time: 0.0271 memory: 18108 grad_norm: 2.8762 loss: 4.9316 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8837 top1_acc_1: 0.4706 top5_acc_1: 0.6824 loss_cls_1: 2.0479 2023/01/31 22:43:13 - mmengine - INFO - Epoch(train) [51][ 780/1879] lr: 9.8657e-02 eta: 2 days, 6:48:15 time: 0.5202 data_time: 0.0362 memory: 18108 grad_norm: 2.9016 loss: 4.8727 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8888 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9838 2023/01/31 22:43:23 - mmengine - INFO - Epoch(train) [51][ 800/1879] lr: 9.8655e-02 eta: 2 days, 6:48:05 time: 0.5230 data_time: 0.0315 memory: 18108 grad_norm: 2.8975 loss: 4.5623 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5913 top1_acc_1: 0.4471 top5_acc_1: 0.7529 loss_cls_1: 1.9710 2023/01/31 22:43:34 - mmengine - INFO - Epoch(train) [51][ 820/1879] lr: 9.8654e-02 eta: 2 days, 6:47:55 time: 0.5132 data_time: 0.0435 memory: 18108 grad_norm: 2.9352 loss: 4.3847 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.4660 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.9187 2023/01/31 22:43:44 - mmengine - INFO - Epoch(train) [51][ 840/1879] lr: 9.8652e-02 eta: 2 days, 6:47:45 time: 0.5090 data_time: 0.0288 memory: 18108 grad_norm: 2.9065 loss: 4.7705 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7021 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.0684 2023/01/31 22:43:54 - mmengine - INFO - Epoch(train) [51][ 860/1879] lr: 9.8650e-02 eta: 2 days, 6:47:36 time: 0.5220 data_time: 0.0365 memory: 18108 grad_norm: 2.8932 loss: 4.4658 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4917 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9740 2023/01/31 22:44:05 - mmengine - INFO - Epoch(train) [51][ 880/1879] lr: 9.8648e-02 eta: 2 days, 6:47:26 time: 0.5184 data_time: 0.0386 memory: 18108 grad_norm: 2.9484 loss: 4.7323 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8610 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.8714 2023/01/31 22:44:15 - mmengine - INFO - Epoch(train) [51][ 900/1879] lr: 9.8647e-02 eta: 2 days, 6:47:15 time: 0.5066 data_time: 0.0339 memory: 18108 grad_norm: 2.9155 loss: 4.8115 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7695 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 2.0420 2023/01/31 22:44:25 - mmengine - INFO - Epoch(train) [51][ 920/1879] lr: 9.8645e-02 eta: 2 days, 6:47:06 time: 0.5229 data_time: 0.0291 memory: 18108 grad_norm: 2.8861 loss: 4.5694 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5927 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.9767 2023/01/31 22:44:36 - mmengine - INFO - Epoch(train) [51][ 940/1879] lr: 9.8643e-02 eta: 2 days, 6:46:58 time: 0.5360 data_time: 0.0428 memory: 18108 grad_norm: 2.9581 loss: 4.6907 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7380 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.9527 2023/01/31 22:44:46 - mmengine - INFO - Epoch(train) [51][ 960/1879] lr: 9.8641e-02 eta: 2 days, 6:46:48 time: 0.5105 data_time: 0.0286 memory: 18108 grad_norm: 2.9591 loss: 4.8999 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.8835 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0163 2023/01/31 22:44:57 - mmengine - INFO - Epoch(train) [51][ 980/1879] lr: 9.8640e-02 eta: 2 days, 6:46:39 time: 0.5222 data_time: 0.0349 memory: 18108 grad_norm: 2.9043 loss: 4.5825 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6561 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9264 2023/01/31 22:45:07 - mmengine - INFO - Epoch(train) [51][1000/1879] lr: 9.8638e-02 eta: 2 days, 6:46:30 time: 0.5351 data_time: 0.0361 memory: 18108 grad_norm: 2.8642 loss: 4.5039 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5771 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9268 2023/01/31 22:45:18 - mmengine - INFO - Epoch(train) [51][1020/1879] lr: 9.8636e-02 eta: 2 days, 6:46:21 time: 0.5191 data_time: 0.0370 memory: 18108 grad_norm: 2.9297 loss: 4.7221 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 2.7235 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.9987 2023/01/31 22:45:28 - mmengine - INFO - Epoch(train) [51][1040/1879] lr: 9.8634e-02 eta: 2 days, 6:46:12 time: 0.5240 data_time: 0.0326 memory: 18108 grad_norm: 3.0060 loss: 4.7161 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7309 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9852 2023/01/31 22:45:34 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 22:45:39 - mmengine - INFO - Epoch(train) [51][1060/1879] lr: 9.8633e-02 eta: 2 days, 6:46:04 time: 0.5395 data_time: 0.0409 memory: 18108 grad_norm: 2.9286 loss: 4.5907 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5446 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 2.0462 2023/01/31 22:45:50 - mmengine - INFO - Epoch(train) [51][1080/1879] lr: 9.8631e-02 eta: 2 days, 6:45:55 time: 0.5297 data_time: 0.0297 memory: 18108 grad_norm: 2.8988 loss: 4.6893 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.7596 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.9297 2023/01/31 22:46:00 - mmengine - INFO - Epoch(train) [51][1100/1879] lr: 9.8629e-02 eta: 2 days, 6:45:46 time: 0.5271 data_time: 0.0355 memory: 18108 grad_norm: 2.9596 loss: 4.9095 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.9273 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9822 2023/01/31 22:46:11 - mmengine - INFO - Epoch(train) [51][1120/1879] lr: 9.8627e-02 eta: 2 days, 6:45:37 time: 0.5214 data_time: 0.0288 memory: 18108 grad_norm: 2.9230 loss: 4.8786 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8912 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.9874 2023/01/31 22:46:21 - mmengine - INFO - Epoch(train) [51][1140/1879] lr: 9.8626e-02 eta: 2 days, 6:45:29 time: 0.5351 data_time: 0.0423 memory: 18108 grad_norm: 2.9163 loss: 4.6289 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6342 top1_acc_1: 0.4118 top5_acc_1: 0.6353 loss_cls_1: 1.9947 2023/01/31 22:46:32 - mmengine - INFO - Epoch(train) [51][1160/1879] lr: 9.8624e-02 eta: 2 days, 6:45:19 time: 0.5163 data_time: 0.0274 memory: 18108 grad_norm: 2.9211 loss: 4.7239 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.7119 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 2.0120 2023/01/31 22:46:43 - mmengine - INFO - Epoch(train) [51][1180/1879] lr: 9.8622e-02 eta: 2 days, 6:45:15 time: 0.5852 data_time: 0.1052 memory: 18108 grad_norm: 2.9109 loss: 4.6311 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6040 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.0271 2023/01/31 22:46:54 - mmengine - INFO - Epoch(train) [51][1200/1879] lr: 9.8620e-02 eta: 2 days, 6:45:07 time: 0.5364 data_time: 0.0342 memory: 18108 grad_norm: 2.9170 loss: 4.6378 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6353 top1_acc_1: 0.4471 top5_acc_1: 0.6941 loss_cls_1: 2.0025 2023/01/31 22:47:05 - mmengine - INFO - Epoch(train) [51][1220/1879] lr: 9.8619e-02 eta: 2 days, 6:44:58 time: 0.5302 data_time: 0.0365 memory: 18108 grad_norm: 2.9248 loss: 4.8406 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7854 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 2.0552 2023/01/31 22:47:15 - mmengine - INFO - Epoch(train) [51][1240/1879] lr: 9.8617e-02 eta: 2 days, 6:44:48 time: 0.5173 data_time: 0.0285 memory: 18108 grad_norm: 2.9375 loss: 4.7213 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 2.7280 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.9933 2023/01/31 22:47:26 - mmengine - INFO - Epoch(train) [51][1260/1879] lr: 9.8615e-02 eta: 2 days, 6:44:40 time: 0.5321 data_time: 0.0439 memory: 18108 grad_norm: 2.9745 loss: 4.9873 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.0003 top1_acc_1: 0.5059 top5_acc_1: 0.6706 loss_cls_1: 1.9870 2023/01/31 22:47:36 - mmengine - INFO - Epoch(train) [51][1280/1879] lr: 9.8613e-02 eta: 2 days, 6:44:30 time: 0.5156 data_time: 0.0289 memory: 18108 grad_norm: 2.9655 loss: 4.7982 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8426 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.9556 2023/01/31 22:47:46 - mmengine - INFO - Epoch(train) [51][1300/1879] lr: 9.8612e-02 eta: 2 days, 6:44:21 time: 0.5224 data_time: 0.0363 memory: 18108 grad_norm: 2.9365 loss: 4.8510 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7548 top1_acc_1: 0.4471 top5_acc_1: 0.6941 loss_cls_1: 2.0962 2023/01/31 22:47:57 - mmengine - INFO - Epoch(train) [51][1320/1879] lr: 9.8610e-02 eta: 2 days, 6:44:11 time: 0.5205 data_time: 0.0375 memory: 18108 grad_norm: 2.8614 loss: 4.6204 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.6295 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.9910 2023/01/31 22:48:07 - mmengine - INFO - Epoch(train) [51][1340/1879] lr: 9.8608e-02 eta: 2 days, 6:44:02 time: 0.5295 data_time: 0.0353 memory: 18108 grad_norm: 2.8749 loss: 4.6474 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6652 top1_acc_1: 0.5294 top5_acc_1: 0.6824 loss_cls_1: 1.9822 2023/01/31 22:48:18 - mmengine - INFO - Epoch(train) [51][1360/1879] lr: 9.8606e-02 eta: 2 days, 6:43:53 time: 0.5187 data_time: 0.0294 memory: 18108 grad_norm: 2.9807 loss: 4.5456 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6822 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.8634 2023/01/31 22:48:28 - mmengine - INFO - Epoch(train) [51][1380/1879] lr: 9.8605e-02 eta: 2 days, 6:43:44 time: 0.5217 data_time: 0.0407 memory: 18108 grad_norm: 2.8699 loss: 4.8345 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8412 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.9933 2023/01/31 22:48:39 - mmengine - INFO - Epoch(train) [51][1400/1879] lr: 9.8603e-02 eta: 2 days, 6:43:35 time: 0.5286 data_time: 0.0287 memory: 18108 grad_norm: 2.9160 loss: 5.0067 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 3.0270 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 1.9798 2023/01/31 22:48:49 - mmengine - INFO - Epoch(train) [51][1420/1879] lr: 9.8601e-02 eta: 2 days, 6:43:25 time: 0.5141 data_time: 0.0359 memory: 18108 grad_norm: 2.8981 loss: 4.6560 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7448 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.9112 2023/01/31 22:48:59 - mmengine - INFO - Epoch(train) [51][1440/1879] lr: 9.8599e-02 eta: 2 days, 6:43:15 time: 0.5147 data_time: 0.0295 memory: 18108 grad_norm: 2.8586 loss: 4.7487 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7749 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.9738 2023/01/31 22:49:10 - mmengine - INFO - Epoch(train) [51][1460/1879] lr: 9.8598e-02 eta: 2 days, 6:43:06 time: 0.5301 data_time: 0.0429 memory: 18108 grad_norm: 2.8912 loss: 4.7361 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7461 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.9900 2023/01/31 22:49:20 - mmengine - INFO - Epoch(train) [51][1480/1879] lr: 9.8596e-02 eta: 2 days, 6:42:56 time: 0.5128 data_time: 0.0292 memory: 18108 grad_norm: 2.8919 loss: 4.6730 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6535 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 2.0195 2023/01/31 22:49:30 - mmengine - INFO - Epoch(train) [51][1500/1879] lr: 9.8594e-02 eta: 2 days, 6:42:45 time: 0.4988 data_time: 0.0345 memory: 18108 grad_norm: 2.9980 loss: 4.9782 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8877 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 2.0905 2023/01/31 22:49:41 - mmengine - INFO - Epoch(train) [51][1520/1879] lr: 9.8592e-02 eta: 2 days, 6:42:35 time: 0.5144 data_time: 0.0365 memory: 18108 grad_norm: 2.8673 loss: 4.7430 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.8071 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.9359 2023/01/31 22:49:51 - mmengine - INFO - Epoch(train) [51][1540/1879] lr: 9.8590e-02 eta: 2 days, 6:42:26 time: 0.5190 data_time: 0.0370 memory: 18108 grad_norm: 2.8779 loss: 4.8125 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8023 top1_acc_1: 0.4235 top5_acc_1: 0.7294 loss_cls_1: 2.0102 2023/01/31 22:50:01 - mmengine - INFO - Epoch(train) [51][1560/1879] lr: 9.8589e-02 eta: 2 days, 6:42:16 time: 0.5177 data_time: 0.0333 memory: 18108 grad_norm: 2.8737 loss: 4.6230 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6519 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.9711 2023/01/31 22:50:12 - mmengine - INFO - Epoch(train) [51][1580/1879] lr: 9.8587e-02 eta: 2 days, 6:42:06 time: 0.5169 data_time: 0.0371 memory: 18108 grad_norm: 2.9243 loss: 4.9718 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8872 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.0845 2023/01/31 22:50:22 - mmengine - INFO - Epoch(train) [51][1600/1879] lr: 9.8585e-02 eta: 2 days, 6:41:57 time: 0.5237 data_time: 0.0373 memory: 18108 grad_norm: 2.9136 loss: 4.6545 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6820 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.9725 2023/01/31 22:50:32 - mmengine - INFO - Epoch(train) [51][1620/1879] lr: 9.8583e-02 eta: 2 days, 6:41:47 time: 0.5120 data_time: 0.0296 memory: 18108 grad_norm: 2.8908 loss: 4.7406 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.7202 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 2.0205 2023/01/31 22:50:43 - mmengine - INFO - Epoch(train) [51][1640/1879] lr: 9.8582e-02 eta: 2 days, 6:41:36 time: 0.5087 data_time: 0.0438 memory: 18108 grad_norm: 2.9213 loss: 4.5000 top1_acc_0: 0.2500 top5_acc_0: 0.8750 loss_cls_0: 2.6329 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8671 2023/01/31 22:50:53 - mmengine - INFO - Epoch(train) [51][1660/1879] lr: 9.8580e-02 eta: 2 days, 6:41:27 time: 0.5143 data_time: 0.0296 memory: 18108 grad_norm: 2.8556 loss: 4.8966 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8529 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 2.0437 2023/01/31 22:51:03 - mmengine - INFO - Epoch(train) [51][1680/1879] lr: 9.8578e-02 eta: 2 days, 6:41:16 time: 0.5122 data_time: 0.0353 memory: 18108 grad_norm: 2.8686 loss: 4.3682 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5101 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8581 2023/01/31 22:51:13 - mmengine - INFO - Epoch(train) [51][1700/1879] lr: 9.8576e-02 eta: 2 days, 6:41:06 time: 0.5048 data_time: 0.0353 memory: 18108 grad_norm: 2.9037 loss: 4.5876 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6461 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.9415 2023/01/31 22:51:24 - mmengine - INFO - Epoch(train) [51][1720/1879] lr: 9.8574e-02 eta: 2 days, 6:40:57 time: 0.5248 data_time: 0.0358 memory: 18108 grad_norm: 2.9362 loss: 4.6155 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6314 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.9841 2023/01/31 22:51:34 - mmengine - INFO - Epoch(train) [51][1740/1879] lr: 9.8573e-02 eta: 2 days, 6:40:48 time: 0.5304 data_time: 0.0316 memory: 18108 grad_norm: 2.8871 loss: 4.9176 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8459 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 2.0716 2023/01/31 22:51:45 - mmengine - INFO - Epoch(train) [51][1760/1879] lr: 9.8571e-02 eta: 2 days, 6:40:38 time: 0.5144 data_time: 0.0354 memory: 18108 grad_norm: 2.9076 loss: 4.8568 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.8638 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.9929 2023/01/31 22:51:55 - mmengine - INFO - Epoch(train) [51][1780/1879] lr: 9.8569e-02 eta: 2 days, 6:40:28 time: 0.5077 data_time: 0.0366 memory: 18108 grad_norm: 2.9301 loss: 4.7140 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7605 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.9536 2023/01/31 22:52:05 - mmengine - INFO - Epoch(train) [51][1800/1879] lr: 9.8567e-02 eta: 2 days, 6:40:18 time: 0.5205 data_time: 0.0373 memory: 18108 grad_norm: 2.9433 loss: 4.7560 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6795 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.0765 2023/01/31 22:52:15 - mmengine - INFO - Epoch(train) [51][1820/1879] lr: 9.8565e-02 eta: 2 days, 6:40:07 time: 0.5043 data_time: 0.0298 memory: 18108 grad_norm: 2.8707 loss: 4.8443 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7975 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.0468 2023/01/31 22:52:26 - mmengine - INFO - Epoch(train) [51][1840/1879] lr: 9.8564e-02 eta: 2 days, 6:39:58 time: 0.5216 data_time: 0.0428 memory: 18108 grad_norm: 2.9131 loss: 4.9376 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8943 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 2.0433 2023/01/31 22:52:36 - mmengine - INFO - Epoch(train) [51][1860/1879] lr: 9.8562e-02 eta: 2 days, 6:39:49 time: 0.5226 data_time: 0.0311 memory: 18108 grad_norm: 2.9004 loss: 4.8010 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8283 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9727 2023/01/31 22:52:45 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 22:52:45 - mmengine - INFO - Epoch(train) [51][1879/1879] lr: 9.8560e-02 eta: 2 days, 6:39:37 time: 0.4907 data_time: 0.0304 memory: 18108 grad_norm: 2.9260 loss: 4.7224 top1_acc_0: 0.4286 top5_acc_0: 0.5714 loss_cls_0: 2.7601 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.9623 2023/01/31 22:53:00 - mmengine - INFO - Epoch(train) [52][ 20/1879] lr: 9.8558e-02 eta: 2 days, 6:39:42 time: 0.7070 data_time: 0.2574 memory: 18108 grad_norm: 2.9468 loss: 4.3707 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4542 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9165 2023/01/31 22:53:10 - mmengine - INFO - Epoch(train) [52][ 40/1879] lr: 9.8557e-02 eta: 2 days, 6:39:29 time: 0.4688 data_time: 0.0342 memory: 18108 grad_norm: 2.9296 loss: 4.3373 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3872 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.9501 2023/01/31 22:53:19 - mmengine - INFO - Epoch(train) [52][ 60/1879] lr: 9.8555e-02 eta: 2 days, 6:39:16 time: 0.4750 data_time: 0.0400 memory: 18108 grad_norm: 2.9452 loss: 4.6491 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6496 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9995 2023/01/31 22:53:29 - mmengine - INFO - Epoch(train) [52][ 80/1879] lr: 9.8553e-02 eta: 2 days, 6:39:06 time: 0.5119 data_time: 0.0379 memory: 18108 grad_norm: 2.9621 loss: 4.6293 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6950 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.9343 2023/01/31 22:53:39 - mmengine - INFO - Epoch(train) [52][ 100/1879] lr: 9.8551e-02 eta: 2 days, 6:38:52 time: 0.4747 data_time: 0.0395 memory: 18108 grad_norm: 2.8930 loss: 4.5661 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5272 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 2.0389 2023/01/31 22:53:48 - mmengine - INFO - Epoch(train) [52][ 120/1879] lr: 9.8549e-02 eta: 2 days, 6:38:39 time: 0.4667 data_time: 0.0319 memory: 18108 grad_norm: 2.9375 loss: 4.4667 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5801 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.8866 2023/01/31 22:53:58 - mmengine - INFO - Epoch(train) [52][ 140/1879] lr: 9.8548e-02 eta: 2 days, 6:38:26 time: 0.4857 data_time: 0.0425 memory: 18108 grad_norm: 2.9325 loss: 4.6105 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6756 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.9349 2023/01/31 22:54:08 - mmengine - INFO - Epoch(train) [52][ 160/1879] lr: 9.8546e-02 eta: 2 days, 6:38:14 time: 0.4848 data_time: 0.0314 memory: 18108 grad_norm: 2.9278 loss: 4.7720 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8776 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.8945 2023/01/31 22:54:13 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 22:54:17 - mmengine - INFO - Epoch(train) [52][ 180/1879] lr: 9.8544e-02 eta: 2 days, 6:38:01 time: 0.4798 data_time: 0.0355 memory: 18108 grad_norm: 2.8813 loss: 4.7314 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7497 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9817 2023/01/31 22:54:27 - mmengine - INFO - Epoch(train) [52][ 200/1879] lr: 9.8542e-02 eta: 2 days, 6:37:49 time: 0.4778 data_time: 0.0324 memory: 18108 grad_norm: 2.8811 loss: 4.9410 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.9911 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9499 2023/01/31 22:54:37 - mmengine - INFO - Epoch(train) [52][ 220/1879] lr: 9.8540e-02 eta: 2 days, 6:37:38 time: 0.5047 data_time: 0.0364 memory: 18108 grad_norm: 2.9377 loss: 4.6090 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7364 top1_acc_1: 0.4941 top5_acc_1: 0.6824 loss_cls_1: 1.8726 2023/01/31 22:54:47 - mmengine - INFO - Epoch(train) [52][ 240/1879] lr: 9.8539e-02 eta: 2 days, 6:37:25 time: 0.4844 data_time: 0.0306 memory: 18108 grad_norm: 2.9630 loss: 4.6501 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6999 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.9502 2023/01/31 22:54:56 - mmengine - INFO - Epoch(train) [52][ 260/1879] lr: 9.8537e-02 eta: 2 days, 6:37:14 time: 0.4891 data_time: 0.0357 memory: 18108 grad_norm: 2.9345 loss: 4.7887 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8355 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.9532 2023/01/31 22:55:06 - mmengine - INFO - Epoch(train) [52][ 280/1879] lr: 9.8535e-02 eta: 2 days, 6:37:01 time: 0.4841 data_time: 0.0317 memory: 18108 grad_norm: 2.9050 loss: 4.6348 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7676 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8672 2023/01/31 22:55:16 - mmengine - INFO - Epoch(train) [52][ 300/1879] lr: 9.8533e-02 eta: 2 days, 6:36:51 time: 0.5061 data_time: 0.0366 memory: 18108 grad_norm: 2.8981 loss: 4.4841 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6374 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8467 2023/01/31 22:55:26 - mmengine - INFO - Epoch(train) [52][ 320/1879] lr: 9.8531e-02 eta: 2 days, 6:36:38 time: 0.4803 data_time: 0.0311 memory: 18108 grad_norm: 2.9148 loss: 4.7290 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7692 top1_acc_1: 0.5412 top5_acc_1: 0.6824 loss_cls_1: 1.9598 2023/01/31 22:55:36 - mmengine - INFO - Epoch(train) [52][ 340/1879] lr: 9.8530e-02 eta: 2 days, 6:36:26 time: 0.4943 data_time: 0.0419 memory: 18108 grad_norm: 2.8861 loss: 4.8239 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8606 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.9634 2023/01/31 22:55:45 - mmengine - INFO - Epoch(train) [52][ 360/1879] lr: 9.8528e-02 eta: 2 days, 6:36:14 time: 0.4872 data_time: 0.0287 memory: 18108 grad_norm: 2.9450 loss: 4.4763 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5720 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9043 2023/01/31 22:55:56 - mmengine - INFO - Epoch(train) [52][ 380/1879] lr: 9.8526e-02 eta: 2 days, 6:36:04 time: 0.5056 data_time: 0.0373 memory: 18108 grad_norm: 2.9327 loss: 4.7251 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7983 top1_acc_1: 0.6588 top5_acc_1: 0.7765 loss_cls_1: 1.9268 2023/01/31 22:56:05 - mmengine - INFO - Epoch(train) [52][ 400/1879] lr: 9.8524e-02 eta: 2 days, 6:35:52 time: 0.4939 data_time: 0.0360 memory: 18108 grad_norm: 2.8797 loss: 4.4016 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.5371 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.8645 2023/01/31 22:56:15 - mmengine - INFO - Epoch(train) [52][ 420/1879] lr: 9.8522e-02 eta: 2 days, 6:35:40 time: 0.4931 data_time: 0.0368 memory: 18108 grad_norm: 2.8899 loss: 4.6260 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6521 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 1.9739 2023/01/31 22:56:25 - mmengine - INFO - Epoch(train) [52][ 440/1879] lr: 9.8520e-02 eta: 2 days, 6:35:28 time: 0.4876 data_time: 0.0298 memory: 18108 grad_norm: 2.9258 loss: 4.5909 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6380 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9529 2023/01/31 22:56:35 - mmengine - INFO - Epoch(train) [52][ 460/1879] lr: 9.8519e-02 eta: 2 days, 6:35:18 time: 0.5069 data_time: 0.0423 memory: 18108 grad_norm: 2.9227 loss: 4.6285 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7960 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.8325 2023/01/31 22:56:45 - mmengine - INFO - Epoch(train) [52][ 480/1879] lr: 9.8517e-02 eta: 2 days, 6:35:06 time: 0.4901 data_time: 0.0297 memory: 18108 grad_norm: 2.9472 loss: 4.7970 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.8221 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.9749 2023/01/31 22:56:55 - mmengine - INFO - Epoch(train) [52][ 500/1879] lr: 9.8515e-02 eta: 2 days, 6:34:54 time: 0.4829 data_time: 0.0371 memory: 18108 grad_norm: 2.9401 loss: 4.7395 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7345 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 2.0050 2023/01/31 22:57:05 - mmengine - INFO - Epoch(train) [52][ 520/1879] lr: 9.8513e-02 eta: 2 days, 6:34:42 time: 0.4948 data_time: 0.0316 memory: 18108 grad_norm: 2.9093 loss: 4.6854 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7339 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.9514 2023/01/31 22:57:15 - mmengine - INFO - Epoch(train) [52][ 540/1879] lr: 9.8511e-02 eta: 2 days, 6:34:32 time: 0.5098 data_time: 0.0359 memory: 18108 grad_norm: 2.9228 loss: 4.5668 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.5682 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.9986 2023/01/31 22:57:25 - mmengine - INFO - Epoch(train) [52][ 560/1879] lr: 9.8510e-02 eta: 2 days, 6:34:20 time: 0.4887 data_time: 0.0337 memory: 18108 grad_norm: 2.9485 loss: 4.6323 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7140 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9183 2023/01/31 22:57:35 - mmengine - INFO - Epoch(train) [52][ 580/1879] lr: 9.8508e-02 eta: 2 days, 6:34:08 time: 0.4975 data_time: 0.0480 memory: 18108 grad_norm: 2.9236 loss: 4.9703 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9104 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 2.0599 2023/01/31 22:57:44 - mmengine - INFO - Epoch(train) [52][ 600/1879] lr: 9.8506e-02 eta: 2 days, 6:33:57 time: 0.4887 data_time: 0.0248 memory: 18108 grad_norm: 2.9174 loss: 4.6789 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7310 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9479 2023/01/31 22:57:54 - mmengine - INFO - Epoch(train) [52][ 620/1879] lr: 9.8504e-02 eta: 2 days, 6:33:45 time: 0.4990 data_time: 0.0366 memory: 18108 grad_norm: 2.9418 loss: 4.6296 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6340 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 1.9955 2023/01/31 22:58:04 - mmengine - INFO - Epoch(train) [52][ 640/1879] lr: 9.8502e-02 eta: 2 days, 6:33:33 time: 0.4885 data_time: 0.0286 memory: 18108 grad_norm: 2.9107 loss: 4.5385 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6838 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.8548 2023/01/31 22:58:14 - mmengine - INFO - Epoch(train) [52][ 660/1879] lr: 9.8500e-02 eta: 2 days, 6:33:23 time: 0.5039 data_time: 0.0447 memory: 18108 grad_norm: 2.9437 loss: 4.8124 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.8021 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0103 2023/01/31 22:58:24 - mmengine - INFO - Epoch(train) [52][ 680/1879] lr: 9.8499e-02 eta: 2 days, 6:33:12 time: 0.5079 data_time: 0.0296 memory: 18108 grad_norm: 2.9226 loss: 4.6433 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6854 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.9579 2023/01/31 22:58:34 - mmengine - INFO - Epoch(train) [52][ 700/1879] lr: 9.8497e-02 eta: 2 days, 6:33:00 time: 0.4913 data_time: 0.0365 memory: 18108 grad_norm: 2.9495 loss: 4.8075 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8503 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.9573 2023/01/31 22:58:44 - mmengine - INFO - Epoch(train) [52][ 720/1879] lr: 9.8495e-02 eta: 2 days, 6:32:49 time: 0.4921 data_time: 0.0364 memory: 18108 grad_norm: 2.9376 loss: 4.8949 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8583 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 2.0367 2023/01/31 22:58:54 - mmengine - INFO - Epoch(train) [52][ 740/1879] lr: 9.8493e-02 eta: 2 days, 6:32:38 time: 0.5098 data_time: 0.0367 memory: 18108 grad_norm: 2.9284 loss: 4.8482 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8504 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.9978 2023/01/31 22:59:04 - mmengine - INFO - Epoch(train) [52][ 760/1879] lr: 9.8491e-02 eta: 2 days, 6:32:26 time: 0.4888 data_time: 0.0314 memory: 18108 grad_norm: 2.9195 loss: 4.8155 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8344 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.9810 2023/01/31 22:59:14 - mmengine - INFO - Epoch(train) [52][ 780/1879] lr: 9.8489e-02 eta: 2 days, 6:32:15 time: 0.4908 data_time: 0.0385 memory: 18108 grad_norm: 2.9495 loss: 4.6901 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7513 top1_acc_1: 0.4706 top5_acc_1: 0.8000 loss_cls_1: 1.9388 2023/01/31 22:59:24 - mmengine - INFO - Epoch(train) [52][ 800/1879] lr: 9.8488e-02 eta: 2 days, 6:32:03 time: 0.4930 data_time: 0.0281 memory: 18108 grad_norm: 2.8929 loss: 4.6330 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.6984 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.9345 2023/01/31 22:59:34 - mmengine - INFO - Epoch(train) [52][ 820/1879] lr: 9.8486e-02 eta: 2 days, 6:31:53 time: 0.5086 data_time: 0.0349 memory: 18108 grad_norm: 2.8898 loss: 4.4773 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4945 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.9827 2023/01/31 22:59:44 - mmengine - INFO - Epoch(train) [52][ 840/1879] lr: 9.8484e-02 eta: 2 days, 6:31:42 time: 0.5054 data_time: 0.0385 memory: 18108 grad_norm: 2.8954 loss: 4.8800 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8803 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.9997 2023/01/31 22:59:54 - mmengine - INFO - Epoch(train) [52][ 860/1879] lr: 9.8482e-02 eta: 2 days, 6:31:32 time: 0.5084 data_time: 0.0394 memory: 18108 grad_norm: 2.8752 loss: 4.6709 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6440 top1_acc_1: 0.4471 top5_acc_1: 0.7529 loss_cls_1: 2.0269 2023/01/31 23:00:04 - mmengine - INFO - Epoch(train) [52][ 880/1879] lr: 9.8480e-02 eta: 2 days, 6:31:20 time: 0.4983 data_time: 0.0294 memory: 18108 grad_norm: 2.9078 loss: 4.5487 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.6353 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.9134 2023/01/31 23:00:14 - mmengine - INFO - Epoch(train) [52][ 900/1879] lr: 9.8478e-02 eta: 2 days, 6:31:10 time: 0.5132 data_time: 0.0433 memory: 18108 grad_norm: 2.8943 loss: 4.7639 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8054 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9584 2023/01/31 23:00:25 - mmengine - INFO - Epoch(train) [52][ 920/1879] lr: 9.8476e-02 eta: 2 days, 6:31:00 time: 0.5122 data_time: 0.0291 memory: 18108 grad_norm: 2.9392 loss: 4.9517 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9256 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 2.0261 2023/01/31 23:00:35 - mmengine - INFO - Epoch(train) [52][ 940/1879] lr: 9.8475e-02 eta: 2 days, 6:30:52 time: 0.5296 data_time: 0.0420 memory: 18108 grad_norm: 2.8805 loss: 4.5766 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.6320 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9446 2023/01/31 23:00:45 - mmengine - INFO - Epoch(train) [52][ 960/1879] lr: 9.8473e-02 eta: 2 days, 6:30:41 time: 0.5067 data_time: 0.0293 memory: 18108 grad_norm: 2.9217 loss: 4.7892 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7604 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 2.0288 2023/01/31 23:00:56 - mmengine - INFO - Epoch(train) [52][ 980/1879] lr: 9.8471e-02 eta: 2 days, 6:30:33 time: 0.5330 data_time: 0.0375 memory: 18108 grad_norm: 2.9648 loss: 4.8730 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7756 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 2.0974 2023/01/31 23:01:06 - mmengine - INFO - Epoch(train) [52][1000/1879] lr: 9.8469e-02 eta: 2 days, 6:30:22 time: 0.5086 data_time: 0.0283 memory: 18108 grad_norm: 2.9977 loss: 4.8597 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8649 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.9948 2023/01/31 23:01:17 - mmengine - INFO - Epoch(train) [52][1020/1879] lr: 9.8467e-02 eta: 2 days, 6:30:13 time: 0.5199 data_time: 0.0370 memory: 18108 grad_norm: 2.9654 loss: 4.6466 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6802 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.9665 2023/01/31 23:01:27 - mmengine - INFO - Epoch(train) [52][1040/1879] lr: 9.8465e-02 eta: 2 days, 6:30:02 time: 0.5075 data_time: 0.0283 memory: 18108 grad_norm: 2.9061 loss: 4.7567 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7240 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.0327 2023/01/31 23:01:37 - mmengine - INFO - Epoch(train) [52][1060/1879] lr: 9.8464e-02 eta: 2 days, 6:29:53 time: 0.5263 data_time: 0.0367 memory: 18108 grad_norm: 2.8542 loss: 4.6792 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.6138 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 2.0654 2023/01/31 23:01:48 - mmengine - INFO - Epoch(train) [52][1080/1879] lr: 9.8462e-02 eta: 2 days, 6:29:43 time: 0.5157 data_time: 0.0316 memory: 18108 grad_norm: 2.9201 loss: 4.5893 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.6825 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.9068 2023/01/31 23:01:58 - mmengine - INFO - Epoch(train) [52][1100/1879] lr: 9.8460e-02 eta: 2 days, 6:29:33 time: 0.5080 data_time: 0.0381 memory: 18108 grad_norm: 2.8919 loss: 4.7815 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8386 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9429 2023/01/31 23:02:09 - mmengine - INFO - Epoch(train) [52][1120/1879] lr: 9.8458e-02 eta: 2 days, 6:29:25 time: 0.5415 data_time: 0.0563 memory: 18108 grad_norm: 2.9448 loss: 4.7873 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.8969 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8904 2023/01/31 23:02:19 - mmengine - INFO - Epoch(train) [52][1140/1879] lr: 9.8456e-02 eta: 2 days, 6:29:15 time: 0.5152 data_time: 0.0323 memory: 18108 grad_norm: 2.8915 loss: 4.8088 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8105 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9983 2023/01/31 23:02:29 - mmengine - INFO - Epoch(train) [52][1160/1879] lr: 9.8454e-02 eta: 2 days, 6:29:05 time: 0.5092 data_time: 0.0335 memory: 18108 grad_norm: 2.8978 loss: 4.9002 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.7734 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.1269 2023/01/31 23:02:35 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 23:02:40 - mmengine - INFO - Epoch(train) [52][1180/1879] lr: 9.8452e-02 eta: 2 days, 6:28:55 time: 0.5176 data_time: 0.0405 memory: 18108 grad_norm: 2.9266 loss: 4.9099 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.9145 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9954 2023/01/31 23:02:50 - mmengine - INFO - Epoch(train) [52][1200/1879] lr: 9.8451e-02 eta: 2 days, 6:28:46 time: 0.5209 data_time: 0.0319 memory: 18108 grad_norm: 2.9214 loss: 4.7123 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7449 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9674 2023/01/31 23:03:00 - mmengine - INFO - Epoch(train) [52][1220/1879] lr: 9.8449e-02 eta: 2 days, 6:28:36 time: 0.5115 data_time: 0.0336 memory: 18108 grad_norm: 2.9182 loss: 4.6562 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6350 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 2.0212 2023/01/31 23:03:10 - mmengine - INFO - Epoch(train) [52][1240/1879] lr: 9.8447e-02 eta: 2 days, 6:28:25 time: 0.5072 data_time: 0.0348 memory: 18108 grad_norm: 2.9186 loss: 4.8299 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8896 top1_acc_1: 0.4824 top5_acc_1: 0.6824 loss_cls_1: 1.9403 2023/01/31 23:03:21 - mmengine - INFO - Epoch(train) [52][1260/1879] lr: 9.8445e-02 eta: 2 days, 6:28:16 time: 0.5201 data_time: 0.0348 memory: 18108 grad_norm: 2.8979 loss: 4.7367 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7965 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9402 2023/01/31 23:03:31 - mmengine - INFO - Epoch(train) [52][1280/1879] lr: 9.8443e-02 eta: 2 days, 6:28:06 time: 0.5111 data_time: 0.0315 memory: 18108 grad_norm: 2.8808 loss: 4.6485 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.6505 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.9979 2023/01/31 23:03:41 - mmengine - INFO - Epoch(train) [52][1300/1879] lr: 9.8441e-02 eta: 2 days, 6:27:55 time: 0.5084 data_time: 0.0344 memory: 18108 grad_norm: 2.8938 loss: 4.6553 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6006 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 2.0547 2023/01/31 23:03:51 - mmengine - INFO - Epoch(train) [52][1320/1879] lr: 9.8439e-02 eta: 2 days, 6:27:45 time: 0.5149 data_time: 0.0399 memory: 18108 grad_norm: 2.9001 loss: 4.5603 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6377 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.9226 2023/01/31 23:04:02 - mmengine - INFO - Epoch(train) [52][1340/1879] lr: 9.8437e-02 eta: 2 days, 6:27:35 time: 0.5149 data_time: 0.0320 memory: 18108 grad_norm: 2.9088 loss: 4.7812 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8175 top1_acc_1: 0.5176 top5_acc_1: 0.6941 loss_cls_1: 1.9637 2023/01/31 23:04:12 - mmengine - INFO - Epoch(train) [52][1360/1879] lr: 9.8436e-02 eta: 2 days, 6:27:25 time: 0.5067 data_time: 0.0317 memory: 18108 grad_norm: 2.9119 loss: 4.8242 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8086 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 2.0155 2023/01/31 23:04:22 - mmengine - INFO - Epoch(train) [52][1380/1879] lr: 9.8434e-02 eta: 2 days, 6:27:14 time: 0.5076 data_time: 0.0340 memory: 18108 grad_norm: 2.9306 loss: 4.7397 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8271 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.9126 2023/01/31 23:04:32 - mmengine - INFO - Epoch(train) [52][1400/1879] lr: 9.8432e-02 eta: 2 days, 6:27:05 time: 0.5205 data_time: 0.0333 memory: 18108 grad_norm: 2.9848 loss: 4.7942 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8713 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.9229 2023/01/31 23:04:43 - mmengine - INFO - Epoch(train) [52][1420/1879] lr: 9.8430e-02 eta: 2 days, 6:26:54 time: 0.5017 data_time: 0.0333 memory: 18108 grad_norm: 2.9853 loss: 4.5137 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6160 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.8977 2023/01/31 23:04:53 - mmengine - INFO - Epoch(train) [52][1440/1879] lr: 9.8428e-02 eta: 2 days, 6:26:43 time: 0.4995 data_time: 0.0332 memory: 18108 grad_norm: 2.8946 loss: 4.5684 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.6379 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.9305 2023/01/31 23:05:03 - mmengine - INFO - Epoch(train) [52][1460/1879] lr: 9.8426e-02 eta: 2 days, 6:26:33 time: 0.5157 data_time: 0.0412 memory: 18108 grad_norm: 2.8943 loss: 4.5749 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5876 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9873 2023/01/31 23:05:13 - mmengine - INFO - Epoch(train) [52][1480/1879] lr: 9.8424e-02 eta: 2 days, 6:26:22 time: 0.5018 data_time: 0.0318 memory: 18108 grad_norm: 2.9080 loss: 4.4424 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.4449 top1_acc_1: 0.4824 top5_acc_1: 0.7882 loss_cls_1: 1.9975 2023/01/31 23:05:23 - mmengine - INFO - Epoch(train) [52][1500/1879] lr: 9.8423e-02 eta: 2 days, 6:26:11 time: 0.5041 data_time: 0.0349 memory: 18108 grad_norm: 2.9706 loss: 4.8058 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7858 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 2.0201 2023/01/31 23:05:33 - mmengine - INFO - Epoch(train) [52][1520/1879] lr: 9.8421e-02 eta: 2 days, 6:26:01 time: 0.5083 data_time: 0.0398 memory: 18108 grad_norm: 2.9301 loss: 4.6755 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8133 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.8622 2023/01/31 23:05:43 - mmengine - INFO - Epoch(train) [52][1540/1879] lr: 9.8419e-02 eta: 2 days, 6:25:51 time: 0.5155 data_time: 0.0341 memory: 18108 grad_norm: 2.9071 loss: 4.7805 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7448 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 2.0357 2023/01/31 23:05:53 - mmengine - INFO - Epoch(train) [52][1560/1879] lr: 9.8417e-02 eta: 2 days, 6:25:40 time: 0.4957 data_time: 0.0340 memory: 18108 grad_norm: 2.9377 loss: 4.7840 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8892 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8948 2023/01/31 23:06:03 - mmengine - INFO - Epoch(train) [52][1580/1879] lr: 9.8415e-02 eta: 2 days, 6:25:29 time: 0.5018 data_time: 0.0344 memory: 18108 grad_norm: 3.0214 loss: 4.8538 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7506 top1_acc_1: 0.4471 top5_acc_1: 0.7765 loss_cls_1: 2.1033 2023/01/31 23:06:14 - mmengine - INFO - Epoch(train) [52][1600/1879] lr: 9.8413e-02 eta: 2 days, 6:25:20 time: 0.5263 data_time: 0.0379 memory: 18108 grad_norm: 2.9647 loss: 4.6452 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6489 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.9963 2023/01/31 23:06:24 - mmengine - INFO - Epoch(train) [52][1620/1879] lr: 9.8411e-02 eta: 2 days, 6:25:08 time: 0.4934 data_time: 0.0334 memory: 18108 grad_norm: 2.9790 loss: 4.7710 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7303 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 2.0407 2023/01/31 23:06:34 - mmengine - INFO - Epoch(train) [52][1640/1879] lr: 9.8409e-02 eta: 2 days, 6:24:57 time: 0.4938 data_time: 0.0322 memory: 18108 grad_norm: 2.8855 loss: 4.9312 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8638 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 2.0674 2023/01/31 23:06:44 - mmengine - INFO - Epoch(train) [52][1660/1879] lr: 9.8407e-02 eta: 2 days, 6:24:47 time: 0.5115 data_time: 0.0396 memory: 18108 grad_norm: 2.9424 loss: 4.9758 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.9273 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 2.0485 2023/01/31 23:06:54 - mmengine - INFO - Epoch(train) [52][1680/1879] lr: 9.8406e-02 eta: 2 days, 6:24:35 time: 0.4982 data_time: 0.0338 memory: 18108 grad_norm: 2.9235 loss: 5.0862 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 3.0136 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.0726 2023/01/31 23:07:04 - mmengine - INFO - Epoch(train) [52][1700/1879] lr: 9.8404e-02 eta: 2 days, 6:24:24 time: 0.5001 data_time: 0.0339 memory: 18108 grad_norm: 2.8874 loss: 4.3958 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4416 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.9542 2023/01/31 23:07:14 - mmengine - INFO - Epoch(train) [52][1720/1879] lr: 9.8402e-02 eta: 2 days, 6:24:14 time: 0.5051 data_time: 0.0344 memory: 18108 grad_norm: 2.9485 loss: 4.7644 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7653 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.9991 2023/01/31 23:07:24 - mmengine - INFO - Epoch(train) [52][1740/1879] lr: 9.8400e-02 eta: 2 days, 6:24:03 time: 0.5035 data_time: 0.0417 memory: 18108 grad_norm: 2.9468 loss: 4.7927 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6995 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.0932 2023/01/31 23:07:34 - mmengine - INFO - Epoch(train) [52][1760/1879] lr: 9.8398e-02 eta: 2 days, 6:23:51 time: 0.4945 data_time: 0.0360 memory: 18108 grad_norm: 2.9396 loss: 4.6033 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6460 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.9572 2023/01/31 23:07:44 - mmengine - INFO - Epoch(train) [52][1780/1879] lr: 9.8396e-02 eta: 2 days, 6:23:40 time: 0.4987 data_time: 0.0335 memory: 18108 grad_norm: 3.0243 loss: 4.7654 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7828 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.9826 2023/01/31 23:07:54 - mmengine - INFO - Epoch(train) [52][1800/1879] lr: 9.8394e-02 eta: 2 days, 6:23:31 time: 0.5191 data_time: 0.0346 memory: 18108 grad_norm: 2.9224 loss: 4.7390 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7553 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.9837 2023/01/31 23:08:04 - mmengine - INFO - Epoch(train) [52][1820/1879] lr: 9.8392e-02 eta: 2 days, 6:23:20 time: 0.4989 data_time: 0.0411 memory: 18108 grad_norm: 2.9277 loss: 4.8909 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7817 top1_acc_1: 0.4941 top5_acc_1: 0.6588 loss_cls_1: 2.1092 2023/01/31 23:08:15 - mmengine - INFO - Epoch(train) [52][1840/1879] lr: 9.8390e-02 eta: 2 days, 6:23:09 time: 0.5097 data_time: 0.0332 memory: 18108 grad_norm: 2.9133 loss: 4.6324 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6513 top1_acc_1: 0.6118 top5_acc_1: 0.7176 loss_cls_1: 1.9811 2023/01/31 23:08:25 - mmengine - INFO - Epoch(train) [52][1860/1879] lr: 9.8389e-02 eta: 2 days, 6:22:59 time: 0.5126 data_time: 0.0338 memory: 18108 grad_norm: 2.8981 loss: 4.6458 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7067 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.9390 2023/01/31 23:08:34 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 23:08:34 - mmengine - INFO - Epoch(train) [52][1879/1879] lr: 9.8387e-02 eta: 2 days, 6:22:46 time: 0.4711 data_time: 0.0309 memory: 18108 grad_norm: 3.0448 loss: 4.6297 top1_acc_0: 0.4286 top5_acc_0: 0.4286 loss_cls_0: 2.6077 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0220 2023/01/31 23:08:34 - mmengine - INFO - Saving checkpoint at 52 epochs 2023/01/31 23:08:45 - mmengine - INFO - Epoch(val) [52][ 20/155] eta: 0:01:01 time: 0.4581 data_time: 0.3465 memory: 1906 2023/01/31 23:08:54 - mmengine - INFO - Epoch(val) [52][ 40/155] eta: 0:00:51 time: 0.4422 data_time: 0.3308 memory: 1906 2023/01/31 23:09:02 - mmengine - INFO - Epoch(val) [52][ 60/155] eta: 0:00:42 time: 0.4275 data_time: 0.3164 memory: 1906 2023/01/31 23:09:11 - mmengine - INFO - Epoch(val) [52][ 80/155] eta: 0:00:33 time: 0.4577 data_time: 0.3471 memory: 1906 2023/01/31 23:09:20 - mmengine - INFO - Epoch(val) [52][100/155] eta: 0:00:24 time: 0.4454 data_time: 0.3348 memory: 1906 2023/01/31 23:09:30 - mmengine - INFO - Epoch(val) [52][120/155] eta: 0:00:15 time: 0.4654 data_time: 0.3549 memory: 1906 2023/01/31 23:09:38 - mmengine - INFO - Epoch(val) [52][140/155] eta: 0:00:06 time: 0.4396 data_time: 0.3293 memory: 1906 2023/01/31 23:09:46 - mmengine - INFO - Epoch(val) [52][155/155] acc/top1: 0.4307 acc/top5: 0.6901 acc/mean1: 0.4306 2023/01/31 23:10:01 - mmengine - INFO - Epoch(train) [53][ 20/1879] lr: 9.8385e-02 eta: 2 days, 6:22:53 time: 0.7271 data_time: 0.2698 memory: 18108 grad_norm: 2.9168 loss: 4.6560 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7357 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 1.9204 2023/01/31 23:10:10 - mmengine - INFO - Epoch(train) [53][ 40/1879] lr: 9.8383e-02 eta: 2 days, 6:22:40 time: 0.4724 data_time: 0.0312 memory: 18108 grad_norm: 2.8266 loss: 4.6813 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7047 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.9766 2023/01/31 23:10:20 - mmengine - INFO - Epoch(train) [53][ 60/1879] lr: 9.8381e-02 eta: 2 days, 6:22:28 time: 0.4905 data_time: 0.0409 memory: 18108 grad_norm: 2.8377 loss: 4.7702 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8035 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.9668 2023/01/31 23:10:31 - mmengine - INFO - Epoch(train) [53][ 80/1879] lr: 9.8379e-02 eta: 2 days, 6:22:20 time: 0.5410 data_time: 0.0533 memory: 18108 grad_norm: 2.9217 loss: 4.5150 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6307 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.8843 2023/01/31 23:10:41 - mmengine - INFO - Epoch(train) [53][ 100/1879] lr: 9.8377e-02 eta: 2 days, 6:22:09 time: 0.4939 data_time: 0.0402 memory: 18108 grad_norm: 2.9252 loss: 4.4271 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 2.4745 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.9526 2023/01/31 23:10:50 - mmengine - INFO - Epoch(train) [53][ 120/1879] lr: 9.8375e-02 eta: 2 days, 6:21:57 time: 0.4895 data_time: 0.0312 memory: 18108 grad_norm: 2.8700 loss: 4.4934 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6288 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.8646 2023/01/31 23:11:01 - mmengine - INFO - Epoch(train) [53][ 140/1879] lr: 9.8373e-02 eta: 2 days, 6:21:48 time: 0.5272 data_time: 0.0503 memory: 18108 grad_norm: 2.8900 loss: 4.3420 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4717 top1_acc_1: 0.4706 top5_acc_1: 0.8588 loss_cls_1: 1.8703 2023/01/31 23:11:11 - mmengine - INFO - Epoch(train) [53][ 160/1879] lr: 9.8372e-02 eta: 2 days, 6:21:36 time: 0.4908 data_time: 0.0310 memory: 18108 grad_norm: 2.9261 loss: 4.2915 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 2.4759 top1_acc_1: 0.6353 top5_acc_1: 0.7294 loss_cls_1: 1.8156 2023/01/31 23:11:21 - mmengine - INFO - Epoch(train) [53][ 180/1879] lr: 9.8370e-02 eta: 2 days, 6:21:24 time: 0.4910 data_time: 0.0396 memory: 18108 grad_norm: 2.8654 loss: 4.5066 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6077 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8988 2023/01/31 23:11:31 - mmengine - INFO - Epoch(train) [53][ 200/1879] lr: 9.8368e-02 eta: 2 days, 6:21:13 time: 0.5009 data_time: 0.0329 memory: 18108 grad_norm: 2.9361 loss: 4.6145 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6367 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9778 2023/01/31 23:11:41 - mmengine - INFO - Epoch(train) [53][ 220/1879] lr: 9.8366e-02 eta: 2 days, 6:21:04 time: 0.5218 data_time: 0.0491 memory: 18108 grad_norm: 2.9419 loss: 4.4492 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.5409 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 1.9082 2023/01/31 23:11:51 - mmengine - INFO - Epoch(train) [53][ 240/1879] lr: 9.8364e-02 eta: 2 days, 6:20:53 time: 0.4996 data_time: 0.0311 memory: 18108 grad_norm: 2.9473 loss: 4.5576 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6386 top1_acc_1: 0.4824 top5_acc_1: 0.8235 loss_cls_1: 1.9189 2023/01/31 23:12:01 - mmengine - INFO - Epoch(train) [53][ 260/1879] lr: 9.8362e-02 eta: 2 days, 6:20:42 time: 0.4996 data_time: 0.0382 memory: 18108 grad_norm: 2.9037 loss: 4.7256 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.8167 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9089 2023/01/31 23:12:11 - mmengine - INFO - Epoch(train) [53][ 280/1879] lr: 9.8360e-02 eta: 2 days, 6:20:32 time: 0.5160 data_time: 0.0420 memory: 18108 grad_norm: 2.9439 loss: 4.4944 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5969 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8975 2023/01/31 23:12:18 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 23:12:21 - mmengine - INFO - Epoch(train) [53][ 300/1879] lr: 9.8358e-02 eta: 2 days, 6:20:21 time: 0.5035 data_time: 0.0401 memory: 18108 grad_norm: 2.9513 loss: 4.7085 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6474 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0611 2023/01/31 23:12:31 - mmengine - INFO - Epoch(train) [53][ 320/1879] lr: 9.8356e-02 eta: 2 days, 6:20:10 time: 0.4939 data_time: 0.0311 memory: 18108 grad_norm: 3.0050 loss: 4.5855 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.6616 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9240 2023/01/31 23:12:42 - mmengine - INFO - Epoch(train) [53][ 340/1879] lr: 9.8354e-02 eta: 2 days, 6:20:01 time: 0.5303 data_time: 0.0382 memory: 18108 grad_norm: 2.9380 loss: 4.4868 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.5835 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9033 2023/01/31 23:12:52 - mmengine - INFO - Epoch(train) [53][ 360/1879] lr: 9.8352e-02 eta: 2 days, 6:19:50 time: 0.5038 data_time: 0.0295 memory: 18108 grad_norm: 3.0090 loss: 4.7565 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7732 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.9833 2023/01/31 23:13:02 - mmengine - INFO - Epoch(train) [53][ 380/1879] lr: 9.8350e-02 eta: 2 days, 6:19:40 time: 0.5050 data_time: 0.0384 memory: 18108 grad_norm: 2.8536 loss: 4.8571 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.8237 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 2.0334 2023/01/31 23:13:12 - mmengine - INFO - Epoch(train) [53][ 400/1879] lr: 9.8349e-02 eta: 2 days, 6:19:29 time: 0.5031 data_time: 0.0300 memory: 18108 grad_norm: 2.9116 loss: 4.6133 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6425 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9708 2023/01/31 23:13:23 - mmengine - INFO - Epoch(train) [53][ 420/1879] lr: 9.8347e-02 eta: 2 days, 6:19:19 time: 0.5184 data_time: 0.0396 memory: 18108 grad_norm: 2.9343 loss: 4.6811 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7284 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9526 2023/01/31 23:13:33 - mmengine - INFO - Epoch(train) [53][ 440/1879] lr: 9.8345e-02 eta: 2 days, 6:19:09 time: 0.5103 data_time: 0.0304 memory: 18108 grad_norm: 2.9956 loss: 4.7570 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8695 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.8874 2023/01/31 23:13:43 - mmengine - INFO - Epoch(train) [53][ 460/1879] lr: 9.8343e-02 eta: 2 days, 6:18:58 time: 0.5067 data_time: 0.0392 memory: 18108 grad_norm: 2.9668 loss: 4.5598 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5729 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.9869 2023/01/31 23:13:53 - mmengine - INFO - Epoch(train) [53][ 480/1879] lr: 9.8341e-02 eta: 2 days, 6:18:49 time: 0.5195 data_time: 0.0378 memory: 18108 grad_norm: 2.9915 loss: 4.8386 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 2.8987 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.9399 2023/01/31 23:14:04 - mmengine - INFO - Epoch(train) [53][ 500/1879] lr: 9.8339e-02 eta: 2 days, 6:18:39 time: 0.5116 data_time: 0.0399 memory: 18108 grad_norm: 2.9457 loss: 4.7488 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7337 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.0151 2023/01/31 23:14:14 - mmengine - INFO - Epoch(train) [53][ 520/1879] lr: 9.8337e-02 eta: 2 days, 6:18:28 time: 0.5030 data_time: 0.0303 memory: 18108 grad_norm: 2.9581 loss: 4.5619 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6125 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9494 2023/01/31 23:14:24 - mmengine - INFO - Epoch(train) [53][ 540/1879] lr: 9.8335e-02 eta: 2 days, 6:18:18 time: 0.5191 data_time: 0.0461 memory: 18108 grad_norm: 2.9869 loss: 4.7323 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7329 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.9995 2023/01/31 23:14:34 - mmengine - INFO - Epoch(train) [53][ 560/1879] lr: 9.8333e-02 eta: 2 days, 6:18:08 time: 0.5031 data_time: 0.0305 memory: 18108 grad_norm: 2.9542 loss: 4.5593 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5842 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.9751 2023/01/31 23:14:44 - mmengine - INFO - Epoch(train) [53][ 580/1879] lr: 9.8331e-02 eta: 2 days, 6:17:57 time: 0.5008 data_time: 0.0381 memory: 18108 grad_norm: 3.0331 loss: 4.7511 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.8330 top1_acc_1: 0.4471 top5_acc_1: 0.6353 loss_cls_1: 1.9182 2023/01/31 23:14:54 - mmengine - INFO - Epoch(train) [53][ 600/1879] lr: 9.8329e-02 eta: 2 days, 6:17:46 time: 0.5024 data_time: 0.0305 memory: 18108 grad_norm: 3.0161 loss: 4.9688 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.9298 top1_acc_1: 0.4824 top5_acc_1: 0.6941 loss_cls_1: 2.0390 2023/01/31 23:15:05 - mmengine - INFO - Epoch(train) [53][ 620/1879] lr: 9.8327e-02 eta: 2 days, 6:17:37 time: 0.5248 data_time: 0.0382 memory: 18108 grad_norm: 2.9716 loss: 4.5073 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5641 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.9432 2023/01/31 23:15:15 - mmengine - INFO - Epoch(train) [53][ 640/1879] lr: 9.8325e-02 eta: 2 days, 6:17:26 time: 0.5030 data_time: 0.0301 memory: 18108 grad_norm: 2.9669 loss: 4.9209 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.9846 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9363 2023/01/31 23:15:25 - mmengine - INFO - Epoch(train) [53][ 660/1879] lr: 9.8324e-02 eta: 2 days, 6:17:15 time: 0.5025 data_time: 0.0375 memory: 18108 grad_norm: 2.9351 loss: 4.7365 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7316 top1_acc_1: 0.5176 top5_acc_1: 0.8471 loss_cls_1: 2.0049 2023/01/31 23:15:35 - mmengine - INFO - Epoch(train) [53][ 680/1879] lr: 9.8322e-02 eta: 2 days, 6:17:06 time: 0.5261 data_time: 0.0362 memory: 18108 grad_norm: 2.9504 loss: 4.7143 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6886 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.0257 2023/01/31 23:15:45 - mmengine - INFO - Epoch(train) [53][ 700/1879] lr: 9.8320e-02 eta: 2 days, 6:16:55 time: 0.5040 data_time: 0.0380 memory: 18108 grad_norm: 2.8952 loss: 4.4703 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4440 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 2.0263 2023/01/31 23:15:55 - mmengine - INFO - Epoch(train) [53][ 720/1879] lr: 9.8318e-02 eta: 2 days, 6:16:44 time: 0.4941 data_time: 0.0298 memory: 18108 grad_norm: 2.9267 loss: 4.6664 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6707 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.9958 2023/01/31 23:16:06 - mmengine - INFO - Epoch(train) [53][ 740/1879] lr: 9.8316e-02 eta: 2 days, 6:16:34 time: 0.5186 data_time: 0.0387 memory: 18108 grad_norm: 2.9780 loss: 4.8024 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7783 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 2.0241 2023/01/31 23:16:16 - mmengine - INFO - Epoch(train) [53][ 760/1879] lr: 9.8314e-02 eta: 2 days, 6:16:23 time: 0.4981 data_time: 0.0298 memory: 18108 grad_norm: 2.8888 loss: 4.4792 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5575 top1_acc_1: 0.4471 top5_acc_1: 0.7059 loss_cls_1: 1.9218 2023/01/31 23:16:26 - mmengine - INFO - Epoch(train) [53][ 780/1879] lr: 9.8312e-02 eta: 2 days, 6:16:12 time: 0.4970 data_time: 0.0437 memory: 18108 grad_norm: 2.9110 loss: 4.6880 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6742 top1_acc_1: 0.5647 top5_acc_1: 0.7176 loss_cls_1: 2.0139 2023/01/31 23:16:36 - mmengine - INFO - Epoch(train) [53][ 800/1879] lr: 9.8310e-02 eta: 2 days, 6:16:00 time: 0.4924 data_time: 0.0286 memory: 18108 grad_norm: 2.9578 loss: 4.8131 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9049 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.9082 2023/01/31 23:16:46 - mmengine - INFO - Epoch(train) [53][ 820/1879] lr: 9.8308e-02 eta: 2 days, 6:15:52 time: 0.5416 data_time: 0.0562 memory: 18108 grad_norm: 2.9507 loss: 4.7062 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8216 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.8846 2023/01/31 23:16:56 - mmengine - INFO - Epoch(train) [53][ 840/1879] lr: 9.8306e-02 eta: 2 days, 6:15:41 time: 0.4959 data_time: 0.0295 memory: 18108 grad_norm: 2.9046 loss: 4.9385 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.8386 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 2.0999 2023/01/31 23:17:06 - mmengine - INFO - Epoch(train) [53][ 860/1879] lr: 9.8304e-02 eta: 2 days, 6:15:29 time: 0.4952 data_time: 0.0382 memory: 18108 grad_norm: 2.9232 loss: 4.6606 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6348 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.0258 2023/01/31 23:17:17 - mmengine - INFO - Epoch(train) [53][ 880/1879] lr: 9.8302e-02 eta: 2 days, 6:15:20 time: 0.5174 data_time: 0.0377 memory: 18108 grad_norm: 2.9108 loss: 4.6143 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5142 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 2.1002 2023/01/31 23:17:27 - mmengine - INFO - Epoch(train) [53][ 900/1879] lr: 9.8300e-02 eta: 2 days, 6:15:10 time: 0.5208 data_time: 0.0379 memory: 18108 grad_norm: 2.9624 loss: 4.7605 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7597 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 2.0008 2023/01/31 23:17:37 - mmengine - INFO - Epoch(train) [53][ 920/1879] lr: 9.8298e-02 eta: 2 days, 6:14:59 time: 0.4961 data_time: 0.0298 memory: 18108 grad_norm: 2.9352 loss: 4.5991 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6293 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.9698 2023/01/31 23:17:47 - mmengine - INFO - Epoch(train) [53][ 940/1879] lr: 9.8296e-02 eta: 2 days, 6:14:49 time: 0.5184 data_time: 0.0485 memory: 18108 grad_norm: 2.9103 loss: 4.7446 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8754 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.8692 2023/01/31 23:17:57 - mmengine - INFO - Epoch(train) [53][ 960/1879] lr: 9.8294e-02 eta: 2 days, 6:14:39 time: 0.5073 data_time: 0.0290 memory: 18108 grad_norm: 2.9441 loss: 4.6046 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.7299 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.8747 2023/01/31 23:18:08 - mmengine - INFO - Epoch(train) [53][ 980/1879] lr: 9.8292e-02 eta: 2 days, 6:14:28 time: 0.5039 data_time: 0.0386 memory: 18108 grad_norm: 2.9228 loss: 4.8433 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 2.8445 top1_acc_1: 0.5412 top5_acc_1: 0.6941 loss_cls_1: 1.9988 2023/01/31 23:18:17 - mmengine - INFO - Epoch(train) [53][1000/1879] lr: 9.8290e-02 eta: 2 days, 6:14:16 time: 0.4945 data_time: 0.0300 memory: 18108 grad_norm: 2.9212 loss: 4.7314 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8154 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.9160 2023/01/31 23:18:28 - mmengine - INFO - Epoch(train) [53][1020/1879] lr: 9.8289e-02 eta: 2 days, 6:14:07 time: 0.5249 data_time: 0.0458 memory: 18108 grad_norm: 2.8677 loss: 4.4578 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5425 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9154 2023/01/31 23:18:38 - mmengine - INFO - Epoch(train) [53][1040/1879] lr: 9.8287e-02 eta: 2 days, 6:13:57 time: 0.5034 data_time: 0.0311 memory: 18108 grad_norm: 2.8936 loss: 4.7077 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7483 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.9594 2023/01/31 23:18:48 - mmengine - INFO - Epoch(train) [53][1060/1879] lr: 9.8285e-02 eta: 2 days, 6:13:46 time: 0.5043 data_time: 0.0377 memory: 18108 grad_norm: 2.9864 loss: 4.4745 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5585 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.9160 2023/01/31 23:18:58 - mmengine - INFO - Epoch(train) [53][1080/1879] lr: 9.8283e-02 eta: 2 days, 6:13:36 time: 0.5113 data_time: 0.0360 memory: 18108 grad_norm: 2.9022 loss: 4.6127 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.7199 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8928 2023/01/31 23:19:09 - mmengine - INFO - Epoch(train) [53][1100/1879] lr: 9.8281e-02 eta: 2 days, 6:13:26 time: 0.5172 data_time: 0.0376 memory: 18108 grad_norm: 2.8732 loss: 4.5091 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7490 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7601 2023/01/31 23:19:19 - mmengine - INFO - Epoch(train) [53][1120/1879] lr: 9.8279e-02 eta: 2 days, 6:13:14 time: 0.4923 data_time: 0.0293 memory: 18108 grad_norm: 2.9641 loss: 4.8074 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8842 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9232 2023/01/31 23:19:29 - mmengine - INFO - Epoch(train) [53][1140/1879] lr: 9.8277e-02 eta: 2 days, 6:13:05 time: 0.5192 data_time: 0.0366 memory: 18108 grad_norm: 2.8943 loss: 4.6778 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7101 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 1.9677 2023/01/31 23:19:39 - mmengine - INFO - Epoch(train) [53][1160/1879] lr: 9.8275e-02 eta: 2 days, 6:12:54 time: 0.5079 data_time: 0.0284 memory: 18108 grad_norm: 2.8986 loss: 4.6564 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6964 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9600 2023/01/31 23:19:49 - mmengine - INFO - Epoch(train) [53][1180/1879] lr: 9.8273e-02 eta: 2 days, 6:12:44 time: 0.5031 data_time: 0.0372 memory: 18108 grad_norm: 2.9606 loss: 4.5036 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6402 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.8634 2023/01/31 23:19:59 - mmengine - INFO - Epoch(train) [53][1200/1879] lr: 9.8271e-02 eta: 2 days, 6:12:32 time: 0.4888 data_time: 0.0291 memory: 18108 grad_norm: 2.9393 loss: 4.6687 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7058 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9629 2023/01/31 23:20:09 - mmengine - INFO - Epoch(train) [53][1220/1879] lr: 9.8269e-02 eta: 2 days, 6:12:22 time: 0.5213 data_time: 0.0468 memory: 18108 grad_norm: 2.9632 loss: 4.8610 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7142 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.1468 2023/01/31 23:20:20 - mmengine - INFO - Epoch(train) [53][1240/1879] lr: 9.8267e-02 eta: 2 days, 6:12:12 time: 0.5087 data_time: 0.0310 memory: 18108 grad_norm: 2.9232 loss: 4.7737 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8064 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.9673 2023/01/31 23:20:30 - mmengine - INFO - Epoch(train) [53][1260/1879] lr: 9.8265e-02 eta: 2 days, 6:12:01 time: 0.5046 data_time: 0.0370 memory: 18108 grad_norm: 2.9189 loss: 4.6069 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6461 top1_acc_1: 0.6588 top5_acc_1: 0.7647 loss_cls_1: 1.9609 2023/01/31 23:20:40 - mmengine - INFO - Epoch(train) [53][1280/1879] lr: 9.8263e-02 eta: 2 days, 6:11:50 time: 0.5026 data_time: 0.0368 memory: 18108 grad_norm: 2.8982 loss: 4.5488 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6343 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9145 2023/01/31 23:20:46 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 23:20:50 - mmengine - INFO - Epoch(train) [53][1300/1879] lr: 9.8261e-02 eta: 2 days, 6:11:40 time: 0.5140 data_time: 0.0380 memory: 18108 grad_norm: 2.9317 loss: 4.7259 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.7580 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9679 2023/01/31 23:21:00 - mmengine - INFO - Epoch(train) [53][1320/1879] lr: 9.8259e-02 eta: 2 days, 6:11:30 time: 0.5064 data_time: 0.0300 memory: 18108 grad_norm: 2.9462 loss: 4.7824 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.8521 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.9303 2023/01/31 23:21:10 - mmengine - INFO - Epoch(train) [53][1340/1879] lr: 9.8257e-02 eta: 2 days, 6:11:20 time: 0.5107 data_time: 0.0439 memory: 18108 grad_norm: 2.8984 loss: 4.6396 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6709 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.9687 2023/01/31 23:21:21 - mmengine - INFO - Epoch(train) [53][1360/1879] lr: 9.8255e-02 eta: 2 days, 6:11:09 time: 0.5078 data_time: 0.0295 memory: 18108 grad_norm: 2.9443 loss: 4.8150 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.8046 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 2.0104 2023/01/31 23:21:31 - mmengine - INFO - Epoch(train) [53][1380/1879] lr: 9.8253e-02 eta: 2 days, 6:10:58 time: 0.5021 data_time: 0.0367 memory: 18108 grad_norm: 2.9373 loss: 4.6592 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7682 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.8910 2023/01/31 23:21:41 - mmengine - INFO - Epoch(train) [53][1400/1879] lr: 9.8251e-02 eta: 2 days, 6:10:48 time: 0.5087 data_time: 0.0358 memory: 18108 grad_norm: 2.9048 loss: 4.4740 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.5239 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.9501 2023/01/31 23:21:51 - mmengine - INFO - Epoch(train) [53][1420/1879] lr: 9.8249e-02 eta: 2 days, 6:10:37 time: 0.5004 data_time: 0.0366 memory: 18108 grad_norm: 2.9682 loss: 4.6747 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7151 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 1.9596 2023/01/31 23:22:01 - mmengine - INFO - Epoch(train) [53][1440/1879] lr: 9.8247e-02 eta: 2 days, 6:10:26 time: 0.5070 data_time: 0.0307 memory: 18108 grad_norm: 2.9559 loss: 4.6902 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7106 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9796 2023/01/31 23:22:11 - mmengine - INFO - Epoch(train) [53][1460/1879] lr: 9.8245e-02 eta: 2 days, 6:10:16 time: 0.5064 data_time: 0.0454 memory: 18108 grad_norm: 2.9039 loss: 4.9488 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 2.9643 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9845 2023/01/31 23:22:21 - mmengine - INFO - Epoch(train) [53][1480/1879] lr: 9.8243e-02 eta: 2 days, 6:10:05 time: 0.4988 data_time: 0.0302 memory: 18108 grad_norm: 2.8934 loss: 4.7787 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8798 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 1.8990 2023/01/31 23:22:31 - mmengine - INFO - Epoch(train) [53][1500/1879] lr: 9.8241e-02 eta: 2 days, 6:09:55 time: 0.5119 data_time: 0.0388 memory: 18108 grad_norm: 2.9317 loss: 5.0987 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 3.0703 top1_acc_1: 0.4353 top5_acc_1: 0.7059 loss_cls_1: 2.0284 2023/01/31 23:22:41 - mmengine - INFO - Epoch(train) [53][1520/1879] lr: 9.8239e-02 eta: 2 days, 6:09:44 time: 0.5101 data_time: 0.0297 memory: 18108 grad_norm: 2.8817 loss: 4.6413 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.6677 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.9735 2023/01/31 23:22:52 - mmengine - INFO - Epoch(train) [53][1540/1879] lr: 9.8237e-02 eta: 2 days, 6:09:34 time: 0.5024 data_time: 0.0441 memory: 18108 grad_norm: 2.9634 loss: 4.7250 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7525 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9725 2023/01/31 23:23:02 - mmengine - INFO - Epoch(train) [53][1560/1879] lr: 9.8235e-02 eta: 2 days, 6:09:22 time: 0.4995 data_time: 0.0302 memory: 18108 grad_norm: 2.9280 loss: 4.8137 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8218 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9919 2023/01/31 23:23:12 - mmengine - INFO - Epoch(train) [53][1580/1879] lr: 9.8233e-02 eta: 2 days, 6:09:13 time: 0.5163 data_time: 0.0375 memory: 18108 grad_norm: 2.9348 loss: 4.9019 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9029 top1_acc_1: 0.5176 top5_acc_1: 0.6824 loss_cls_1: 1.9990 2023/01/31 23:23:22 - mmengine - INFO - Epoch(train) [53][1600/1879] lr: 9.8231e-02 eta: 2 days, 6:09:02 time: 0.5106 data_time: 0.0355 memory: 18108 grad_norm: 2.9191 loss: 4.6047 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5108 top1_acc_1: 0.5529 top5_acc_1: 0.6941 loss_cls_1: 2.0939 2023/01/31 23:23:32 - mmengine - INFO - Epoch(train) [53][1620/1879] lr: 9.8229e-02 eta: 2 days, 6:08:52 time: 0.5061 data_time: 0.0359 memory: 18108 grad_norm: 2.8545 loss: 4.6262 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6237 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 2.0025 2023/01/31 23:23:43 - mmengine - INFO - Epoch(train) [53][1640/1879] lr: 9.8227e-02 eta: 2 days, 6:08:42 time: 0.5142 data_time: 0.0294 memory: 18108 grad_norm: 2.8862 loss: 4.5964 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6393 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.9571 2023/01/31 23:23:53 - mmengine - INFO - Epoch(train) [53][1660/1879] lr: 9.8225e-02 eta: 2 days, 6:08:33 time: 0.5329 data_time: 0.0521 memory: 18108 grad_norm: 2.8864 loss: 4.6638 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6287 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 2.0350 2023/01/31 23:24:04 - mmengine - INFO - Epoch(train) [53][1680/1879] lr: 9.8223e-02 eta: 2 days, 6:08:24 time: 0.5207 data_time: 0.0296 memory: 18108 grad_norm: 2.9501 loss: 4.7679 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7240 top1_acc_1: 0.4588 top5_acc_1: 0.6471 loss_cls_1: 2.0439 2023/01/31 23:24:14 - mmengine - INFO - Epoch(train) [53][1700/1879] lr: 9.8221e-02 eta: 2 days, 6:08:14 time: 0.5099 data_time: 0.0377 memory: 18108 grad_norm: 2.9483 loss: 4.8506 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.9056 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.9449 2023/01/31 23:24:24 - mmengine - INFO - Epoch(train) [53][1720/1879] lr: 9.8219e-02 eta: 2 days, 6:08:04 time: 0.5185 data_time: 0.0291 memory: 18108 grad_norm: 2.9050 loss: 4.7467 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.7397 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 2.0070 2023/01/31 23:24:34 - mmengine - INFO - Epoch(train) [53][1740/1879] lr: 9.8217e-02 eta: 2 days, 6:07:53 time: 0.5043 data_time: 0.0373 memory: 18108 grad_norm: 2.9429 loss: 4.7691 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7125 top1_acc_1: 0.4353 top5_acc_1: 0.6824 loss_cls_1: 2.0567 2023/01/31 23:24:44 - mmengine - INFO - Epoch(train) [53][1760/1879] lr: 9.8216e-02 eta: 2 days, 6:07:43 time: 0.5048 data_time: 0.0287 memory: 18108 grad_norm: 2.8836 loss: 4.8104 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7464 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.0639 2023/01/31 23:24:55 - mmengine - INFO - Epoch(train) [53][1780/1879] lr: 9.8214e-02 eta: 2 days, 6:07:33 time: 0.5148 data_time: 0.0361 memory: 18108 grad_norm: 2.9327 loss: 4.6042 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5276 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 2.0766 2023/01/31 23:25:05 - mmengine - INFO - Epoch(train) [53][1800/1879] lr: 9.8212e-02 eta: 2 days, 6:07:23 time: 0.5117 data_time: 0.0297 memory: 18108 grad_norm: 2.9379 loss: 4.2451 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4088 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.8363 2023/01/31 23:25:15 - mmengine - INFO - Epoch(train) [53][1820/1879] lr: 9.8210e-02 eta: 2 days, 6:07:13 time: 0.5221 data_time: 0.0381 memory: 18108 grad_norm: 2.9354 loss: 4.8949 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.8425 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 2.0524 2023/01/31 23:25:26 - mmengine - INFO - Epoch(train) [53][1840/1879] lr: 9.8208e-02 eta: 2 days, 6:07:03 time: 0.5129 data_time: 0.0301 memory: 18108 grad_norm: 2.9904 loss: 4.6746 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7388 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.9358 2023/01/31 23:25:36 - mmengine - INFO - Epoch(train) [53][1860/1879] lr: 9.8206e-02 eta: 2 days, 6:06:54 time: 0.5177 data_time: 0.0426 memory: 18108 grad_norm: 2.9409 loss: 4.5896 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.5584 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 2.0312 2023/01/31 23:25:45 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 23:25:45 - mmengine - INFO - Epoch(train) [53][1879/1879] lr: 9.8204e-02 eta: 2 days, 6:06:42 time: 0.4844 data_time: 0.0311 memory: 18108 grad_norm: 2.9634 loss: 4.6010 top1_acc_0: 0.2857 top5_acc_0: 0.8571 loss_cls_0: 2.5807 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0203 2023/01/31 23:26:00 - mmengine - INFO - Epoch(train) [54][ 20/1879] lr: 9.8202e-02 eta: 2 days, 6:06:47 time: 0.7074 data_time: 0.2629 memory: 18108 grad_norm: 2.8933 loss: 4.6919 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.8044 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.8874 2023/01/31 23:26:09 - mmengine - INFO - Epoch(train) [54][ 40/1879] lr: 9.8200e-02 eta: 2 days, 6:06:33 time: 0.4638 data_time: 0.0341 memory: 18108 grad_norm: 2.8762 loss: 4.6570 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7507 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.9063 2023/01/31 23:26:19 - mmengine - INFO - Epoch(train) [54][ 60/1879] lr: 9.8198e-02 eta: 2 days, 6:06:20 time: 0.4748 data_time: 0.0359 memory: 18108 grad_norm: 2.8880 loss: 4.8148 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7845 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 2.0303 2023/01/31 23:26:29 - mmengine - INFO - Epoch(train) [54][ 80/1879] lr: 9.8196e-02 eta: 2 days, 6:06:10 time: 0.5087 data_time: 0.0427 memory: 18108 grad_norm: 2.9211 loss: 4.6295 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.6727 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9568 2023/01/31 23:26:39 - mmengine - INFO - Epoch(train) [54][ 100/1879] lr: 9.8194e-02 eta: 2 days, 6:05:57 time: 0.4771 data_time: 0.0364 memory: 18108 grad_norm: 2.8766 loss: 4.4834 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6330 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 1.8504 2023/01/31 23:26:48 - mmengine - INFO - Epoch(train) [54][ 120/1879] lr: 9.8192e-02 eta: 2 days, 6:05:43 time: 0.4668 data_time: 0.0345 memory: 18108 grad_norm: 2.8995 loss: 4.5429 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6177 top1_acc_1: 0.5882 top5_acc_1: 0.7294 loss_cls_1: 1.9252 2023/01/31 23:26:58 - mmengine - INFO - Epoch(train) [54][ 140/1879] lr: 9.8190e-02 eta: 2 days, 6:05:32 time: 0.4907 data_time: 0.0422 memory: 18108 grad_norm: 2.9230 loss: 4.5403 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6723 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8680 2023/01/31 23:27:07 - mmengine - INFO - Epoch(train) [54][ 160/1879] lr: 9.8188e-02 eta: 2 days, 6:05:19 time: 0.4751 data_time: 0.0327 memory: 18108 grad_norm: 2.9233 loss: 4.9953 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 2.9703 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 2.0250 2023/01/31 23:27:17 - mmengine - INFO - Epoch(train) [54][ 180/1879] lr: 9.8186e-02 eta: 2 days, 6:05:06 time: 0.4776 data_time: 0.0371 memory: 18108 grad_norm: 2.9340 loss: 4.5670 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.5720 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9950 2023/01/31 23:27:26 - mmengine - INFO - Epoch(train) [54][ 200/1879] lr: 9.8184e-02 eta: 2 days, 6:04:53 time: 0.4744 data_time: 0.0347 memory: 18108 grad_norm: 2.9434 loss: 4.4919 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5247 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 1.9672 2023/01/31 23:27:36 - mmengine - INFO - Epoch(train) [54][ 220/1879] lr: 9.8182e-02 eta: 2 days, 6:04:42 time: 0.5024 data_time: 0.0418 memory: 18108 grad_norm: 2.9986 loss: 4.5035 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.5966 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.9069 2023/01/31 23:27:46 - mmengine - INFO - Epoch(train) [54][ 240/1879] lr: 9.8180e-02 eta: 2 days, 6:04:30 time: 0.4844 data_time: 0.0325 memory: 18108 grad_norm: 2.8897 loss: 4.3715 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5186 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.8529 2023/01/31 23:27:56 - mmengine - INFO - Epoch(train) [54][ 260/1879] lr: 9.8178e-02 eta: 2 days, 6:04:18 time: 0.4863 data_time: 0.0336 memory: 18108 grad_norm: 2.9245 loss: 4.7524 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8197 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.9328 2023/01/31 23:28:06 - mmengine - INFO - Epoch(train) [54][ 280/1879] lr: 9.8176e-02 eta: 2 days, 6:04:06 time: 0.4906 data_time: 0.0323 memory: 18108 grad_norm: 2.9349 loss: 4.6112 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.6552 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9561 2023/01/31 23:28:16 - mmengine - INFO - Epoch(train) [54][ 300/1879] lr: 9.8173e-02 eta: 2 days, 6:03:57 time: 0.5224 data_time: 0.0344 memory: 18108 grad_norm: 2.9765 loss: 4.6843 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7905 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8938 2023/01/31 23:28:26 - mmengine - INFO - Epoch(train) [54][ 320/1879] lr: 9.8171e-02 eta: 2 days, 6:03:45 time: 0.4898 data_time: 0.0323 memory: 18108 grad_norm: 2.9823 loss: 4.6972 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7485 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.9487 2023/01/31 23:28:36 - mmengine - INFO - Epoch(train) [54][ 340/1879] lr: 9.8169e-02 eta: 2 days, 6:03:34 time: 0.5063 data_time: 0.0422 memory: 18108 grad_norm: 2.9475 loss: 4.9058 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8770 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 2.0288 2023/01/31 23:28:46 - mmengine - INFO - Epoch(train) [54][ 360/1879] lr: 9.8167e-02 eta: 2 days, 6:03:24 time: 0.5121 data_time: 0.0338 memory: 18108 grad_norm: 2.9575 loss: 4.7589 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8046 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.9543 2023/01/31 23:28:57 - mmengine - INFO - Epoch(train) [54][ 380/1879] lr: 9.8165e-02 eta: 2 days, 6:03:14 time: 0.5065 data_time: 0.0344 memory: 18108 grad_norm: 2.9421 loss: 4.7362 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8029 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.9333 2023/01/31 23:29:06 - mmengine - INFO - Epoch(train) [54][ 400/1879] lr: 9.8163e-02 eta: 2 days, 6:03:03 time: 0.4979 data_time: 0.0313 memory: 18108 grad_norm: 2.9148 loss: 4.5220 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6000 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9220 2023/01/31 23:29:13 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 23:29:17 - mmengine - INFO - Epoch(train) [54][ 420/1879] lr: 9.8161e-02 eta: 2 days, 6:02:53 time: 0.5180 data_time: 0.0410 memory: 18108 grad_norm: 2.9622 loss: 4.7537 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8379 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9158 2023/01/31 23:29:27 - mmengine - INFO - Epoch(train) [54][ 440/1879] lr: 9.8159e-02 eta: 2 days, 6:02:41 time: 0.4880 data_time: 0.0315 memory: 18108 grad_norm: 2.9674 loss: 4.5344 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6049 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 1.9295 2023/01/31 23:29:37 - mmengine - INFO - Epoch(train) [54][ 460/1879] lr: 9.8157e-02 eta: 2 days, 6:02:31 time: 0.5101 data_time: 0.0357 memory: 18108 grad_norm: 2.9436 loss: 4.6713 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.7224 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.9489 2023/01/31 23:29:47 - mmengine - INFO - Epoch(train) [54][ 480/1879] lr: 9.8155e-02 eta: 2 days, 6:02:20 time: 0.5038 data_time: 0.0312 memory: 18108 grad_norm: 2.9569 loss: 4.5238 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4731 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.0506 2023/01/31 23:29:58 - mmengine - INFO - Epoch(train) [54][ 500/1879] lr: 9.8153e-02 eta: 2 days, 6:02:11 time: 0.5324 data_time: 0.0404 memory: 18108 grad_norm: 2.8878 loss: 4.8099 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8145 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.9954 2023/01/31 23:30:07 - mmengine - INFO - Epoch(train) [54][ 520/1879] lr: 9.8151e-02 eta: 2 days, 6:02:00 time: 0.4953 data_time: 0.0329 memory: 18108 grad_norm: 2.9148 loss: 4.6581 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6805 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.9776 2023/01/31 23:30:18 - mmengine - INFO - Epoch(train) [54][ 540/1879] lr: 9.8149e-02 eta: 2 days, 6:01:50 time: 0.5136 data_time: 0.0334 memory: 18108 grad_norm: 2.8796 loss: 4.4194 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.5102 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.9093 2023/01/31 23:30:28 - mmengine - INFO - Epoch(train) [54][ 560/1879] lr: 9.8147e-02 eta: 2 days, 6:01:39 time: 0.5033 data_time: 0.0318 memory: 18108 grad_norm: 2.9537 loss: 4.5469 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5707 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.9762 2023/01/31 23:30:38 - mmengine - INFO - Epoch(train) [54][ 580/1879] lr: 9.8145e-02 eta: 2 days, 6:01:28 time: 0.4973 data_time: 0.0350 memory: 18108 grad_norm: 2.9668 loss: 4.5127 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6050 top1_acc_1: 0.6235 top5_acc_1: 0.7529 loss_cls_1: 1.9076 2023/01/31 23:30:47 - mmengine - INFO - Epoch(train) [54][ 600/1879] lr: 9.8143e-02 eta: 2 days, 6:01:15 time: 0.4802 data_time: 0.0341 memory: 18108 grad_norm: 2.9768 loss: 4.6217 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6488 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.9729 2023/01/31 23:30:58 - mmengine - INFO - Epoch(train) [54][ 620/1879] lr: 9.8141e-02 eta: 2 days, 6:01:05 time: 0.5131 data_time: 0.0348 memory: 18108 grad_norm: 2.9216 loss: 4.7425 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6639 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 2.0786 2023/01/31 23:31:08 - mmengine - INFO - Epoch(train) [54][ 640/1879] lr: 9.8139e-02 eta: 2 days, 6:00:54 time: 0.4948 data_time: 0.0405 memory: 18108 grad_norm: 2.8844 loss: 4.9153 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.9148 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0005 2023/01/31 23:31:18 - mmengine - INFO - Epoch(train) [54][ 660/1879] lr: 9.8137e-02 eta: 2 days, 6:00:43 time: 0.5028 data_time: 0.0364 memory: 18108 grad_norm: 2.9072 loss: 4.4876 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5878 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 1.8998 2023/01/31 23:31:27 - mmengine - INFO - Epoch(train) [54][ 680/1879] lr: 9.8135e-02 eta: 2 days, 6:00:32 time: 0.4915 data_time: 0.0324 memory: 18108 grad_norm: 2.9501 loss: 4.7089 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7712 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.9377 2023/01/31 23:31:38 - mmengine - INFO - Epoch(train) [54][ 700/1879] lr: 9.8133e-02 eta: 2 days, 6:00:21 time: 0.5065 data_time: 0.0439 memory: 18108 grad_norm: 2.9253 loss: 4.8921 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.9671 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.9250 2023/01/31 23:31:47 - mmengine - INFO - Epoch(train) [54][ 720/1879] lr: 9.8131e-02 eta: 2 days, 6:00:08 time: 0.4700 data_time: 0.0329 memory: 18108 grad_norm: 2.9346 loss: 4.8465 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8945 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9520 2023/01/31 23:31:57 - mmengine - INFO - Epoch(train) [54][ 740/1879] lr: 9.8129e-02 eta: 2 days, 5:59:56 time: 0.4896 data_time: 0.0345 memory: 18108 grad_norm: 2.9363 loss: 4.6825 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.8122 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8703 2023/01/31 23:32:07 - mmengine - INFO - Epoch(train) [54][ 760/1879] lr: 9.8127e-02 eta: 2 days, 5:59:44 time: 0.4904 data_time: 0.0342 memory: 18108 grad_norm: 2.9166 loss: 4.7077 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.7124 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.9953 2023/01/31 23:32:17 - mmengine - INFO - Epoch(train) [54][ 780/1879] lr: 9.8125e-02 eta: 2 days, 5:59:33 time: 0.4969 data_time: 0.0418 memory: 18108 grad_norm: 2.9401 loss: 4.6408 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5939 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0469 2023/01/31 23:32:26 - mmengine - INFO - Epoch(train) [54][ 800/1879] lr: 9.8123e-02 eta: 2 days, 5:59:19 time: 0.4682 data_time: 0.0346 memory: 18108 grad_norm: 2.9602 loss: 4.8000 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7621 top1_acc_1: 0.4824 top5_acc_1: 0.6824 loss_cls_1: 2.0379 2023/01/31 23:32:36 - mmengine - INFO - Epoch(train) [54][ 820/1879] lr: 9.8121e-02 eta: 2 days, 5:59:09 time: 0.5021 data_time: 0.0352 memory: 18108 grad_norm: 2.9693 loss: 4.8155 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7616 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 2.0539 2023/01/31 23:32:46 - mmengine - INFO - Epoch(train) [54][ 840/1879] lr: 9.8119e-02 eta: 2 days, 5:58:57 time: 0.4862 data_time: 0.0405 memory: 18108 grad_norm: 2.8794 loss: 4.6729 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.6487 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.0242 2023/01/31 23:32:55 - mmengine - INFO - Epoch(train) [54][ 860/1879] lr: 9.8117e-02 eta: 2 days, 5:58:44 time: 0.4800 data_time: 0.0331 memory: 18108 grad_norm: 2.9469 loss: 4.7478 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.7696 top1_acc_1: 0.4353 top5_acc_1: 0.6588 loss_cls_1: 1.9783 2023/01/31 23:33:05 - mmengine - INFO - Epoch(train) [54][ 880/1879] lr: 9.8115e-02 eta: 2 days, 5:58:31 time: 0.4748 data_time: 0.0349 memory: 18108 grad_norm: 2.9348 loss: 4.6629 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.6796 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9832 2023/01/31 23:33:15 - mmengine - INFO - Epoch(train) [54][ 900/1879] lr: 9.8112e-02 eta: 2 days, 5:58:20 time: 0.5008 data_time: 0.0347 memory: 18108 grad_norm: 2.8658 loss: 4.6665 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 2.6814 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.9852 2023/01/31 23:33:25 - mmengine - INFO - Epoch(train) [54][ 920/1879] lr: 9.8110e-02 eta: 2 days, 5:58:09 time: 0.4937 data_time: 0.0340 memory: 18108 grad_norm: 2.9373 loss: 4.4832 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5845 top1_acc_1: 0.4706 top5_acc_1: 0.8000 loss_cls_1: 1.8987 2023/01/31 23:33:34 - mmengine - INFO - Epoch(train) [54][ 940/1879] lr: 9.8108e-02 eta: 2 days, 5:57:57 time: 0.4855 data_time: 0.0351 memory: 18108 grad_norm: 2.9063 loss: 4.5573 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6304 top1_acc_1: 0.4706 top5_acc_1: 0.6941 loss_cls_1: 1.9269 2023/01/31 23:33:44 - mmengine - INFO - Epoch(train) [54][ 960/1879] lr: 9.8106e-02 eta: 2 days, 5:57:44 time: 0.4810 data_time: 0.0350 memory: 18108 grad_norm: 2.9808 loss: 4.6474 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.7346 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.9128 2023/01/31 23:33:54 - mmengine - INFO - Epoch(train) [54][ 980/1879] lr: 9.8104e-02 eta: 2 days, 5:57:34 time: 0.5140 data_time: 0.0403 memory: 18108 grad_norm: 2.8968 loss: 4.5302 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6002 top1_acc_1: 0.6000 top5_acc_1: 0.7412 loss_cls_1: 1.9300 2023/01/31 23:34:04 - mmengine - INFO - Epoch(train) [54][1000/1879] lr: 9.8102e-02 eta: 2 days, 5:57:21 time: 0.4753 data_time: 0.0342 memory: 18108 grad_norm: 2.9296 loss: 4.8887 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.9075 top1_acc_1: 0.6353 top5_acc_1: 0.7647 loss_cls_1: 1.9811 2023/01/31 23:34:14 - mmengine - INFO - Epoch(train) [54][1020/1879] lr: 9.8100e-02 eta: 2 days, 5:57:11 time: 0.5050 data_time: 0.0324 memory: 18108 grad_norm: 2.9382 loss: 4.7580 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.7443 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.0137 2023/01/31 23:34:24 - mmengine - INFO - Epoch(train) [54][1040/1879] lr: 9.8098e-02 eta: 2 days, 5:56:58 time: 0.4821 data_time: 0.0317 memory: 18108 grad_norm: 2.9103 loss: 4.9569 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.9936 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 1.9633 2023/01/31 23:34:34 - mmengine - INFO - Epoch(train) [54][1060/1879] lr: 9.8096e-02 eta: 2 days, 5:56:48 time: 0.5059 data_time: 0.0407 memory: 18108 grad_norm: 2.9170 loss: 4.7016 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8087 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.8929 2023/01/31 23:34:43 - mmengine - INFO - Epoch(train) [54][1080/1879] lr: 9.8094e-02 eta: 2 days, 5:56:35 time: 0.4796 data_time: 0.0334 memory: 18108 grad_norm: 2.9219 loss: 4.7323 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7402 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9921 2023/01/31 23:34:53 - mmengine - INFO - Epoch(train) [54][1100/1879] lr: 9.8092e-02 eta: 2 days, 5:56:24 time: 0.4967 data_time: 0.0341 memory: 18108 grad_norm: 2.9876 loss: 5.0237 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 3.0867 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.9370 2023/01/31 23:35:03 - mmengine - INFO - Epoch(train) [54][1120/1879] lr: 9.8090e-02 eta: 2 days, 5:56:12 time: 0.4877 data_time: 0.0322 memory: 18108 grad_norm: 2.9250 loss: 4.5879 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.6419 top1_acc_1: 0.5294 top5_acc_1: 0.8471 loss_cls_1: 1.9460 2023/01/31 23:35:13 - mmengine - INFO - Epoch(train) [54][1140/1879] lr: 9.8088e-02 eta: 2 days, 5:56:02 time: 0.5093 data_time: 0.0448 memory: 18108 grad_norm: 2.9125 loss: 4.5946 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7538 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.8408 2023/01/31 23:35:23 - mmengine - INFO - Epoch(train) [54][1160/1879] lr: 9.8086e-02 eta: 2 days, 5:55:49 time: 0.4801 data_time: 0.0343 memory: 18108 grad_norm: 2.9128 loss: 4.6388 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 2.6482 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9906 2023/01/31 23:35:33 - mmengine - INFO - Epoch(train) [54][1180/1879] lr: 9.8084e-02 eta: 2 days, 5:55:38 time: 0.4925 data_time: 0.0340 memory: 18108 grad_norm: 2.9148 loss: 4.7343 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7866 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.9477 2023/01/31 23:35:42 - mmengine - INFO - Epoch(train) [54][1200/1879] lr: 9.8082e-02 eta: 2 days, 5:55:25 time: 0.4817 data_time: 0.0347 memory: 18108 grad_norm: 2.9045 loss: 4.5644 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5722 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9922 2023/01/31 23:35:53 - mmengine - INFO - Epoch(train) [54][1220/1879] lr: 9.8080e-02 eta: 2 days, 5:55:15 time: 0.5094 data_time: 0.0336 memory: 18108 grad_norm: 2.9425 loss: 4.9024 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 2.8553 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 2.0471 2023/01/31 23:36:02 - mmengine - INFO - Epoch(train) [54][1240/1879] lr: 9.8077e-02 eta: 2 days, 5:55:02 time: 0.4696 data_time: 0.0331 memory: 18108 grad_norm: 2.9621 loss: 4.5016 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5238 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.9778 2023/01/31 23:36:12 - mmengine - INFO - Epoch(train) [54][1260/1879] lr: 9.8075e-02 eta: 2 days, 5:54:50 time: 0.4922 data_time: 0.0353 memory: 18108 grad_norm: 2.9509 loss: 4.4053 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4308 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 1.9746 2023/01/31 23:36:21 - mmengine - INFO - Epoch(train) [54][1280/1879] lr: 9.8073e-02 eta: 2 days, 5:54:37 time: 0.4790 data_time: 0.0344 memory: 18108 grad_norm: 2.9662 loss: 4.7641 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7236 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 2.0405 2023/01/31 23:36:32 - mmengine - INFO - Epoch(train) [54][1300/1879] lr: 9.8071e-02 eta: 2 days, 5:54:27 time: 0.5083 data_time: 0.0328 memory: 18108 grad_norm: 2.9484 loss: 4.8484 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8931 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9553 2023/01/31 23:36:41 - mmengine - INFO - Epoch(train) [54][1320/1879] lr: 9.8069e-02 eta: 2 days, 5:54:15 time: 0.4837 data_time: 0.0357 memory: 18108 grad_norm: 3.0543 loss: 4.5764 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5848 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.9916 2023/01/31 23:36:51 - mmengine - INFO - Epoch(train) [54][1340/1879] lr: 9.8067e-02 eta: 2 days, 5:54:03 time: 0.4912 data_time: 0.0349 memory: 18108 grad_norm: 2.9699 loss: 4.7656 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7390 top1_acc_1: 0.4588 top5_acc_1: 0.7412 loss_cls_1: 2.0266 2023/01/31 23:37:01 - mmengine - INFO - Epoch(train) [54][1360/1879] lr: 9.8065e-02 eta: 2 days, 5:53:51 time: 0.4871 data_time: 0.0408 memory: 18108 grad_norm: 2.9358 loss: 4.6815 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6484 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.0331 2023/01/31 23:37:11 - mmengine - INFO - Epoch(train) [54][1380/1879] lr: 9.8063e-02 eta: 2 days, 5:53:40 time: 0.4983 data_time: 0.0348 memory: 18108 grad_norm: 2.8923 loss: 4.8185 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.9628 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.8557 2023/01/31 23:37:20 - mmengine - INFO - Epoch(train) [54][1400/1879] lr: 9.8061e-02 eta: 2 days, 5:53:28 time: 0.4812 data_time: 0.0342 memory: 18108 grad_norm: 2.9589 loss: 4.4779 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5934 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8846 2023/01/31 23:37:27 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 23:37:30 - mmengine - INFO - Epoch(train) [54][1420/1879] lr: 9.8059e-02 eta: 2 days, 5:53:17 time: 0.5014 data_time: 0.0363 memory: 18108 grad_norm: 2.9947 loss: 4.9560 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.9533 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0027 2023/01/31 23:37:40 - mmengine - INFO - Epoch(train) [54][1440/1879] lr: 9.8057e-02 eta: 2 days, 5:53:04 time: 0.4775 data_time: 0.0424 memory: 18108 grad_norm: 2.8971 loss: 4.6249 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6341 top1_acc_1: 0.5294 top5_acc_1: 0.8471 loss_cls_1: 1.9908 2023/01/31 23:37:50 - mmengine - INFO - Epoch(train) [54][1460/1879] lr: 9.8055e-02 eta: 2 days, 5:52:54 time: 0.5101 data_time: 0.0342 memory: 18108 grad_norm: 2.9290 loss: 4.9590 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.8859 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 2.0731 2023/01/31 23:38:00 - mmengine - INFO - Epoch(train) [54][1480/1879] lr: 9.8053e-02 eta: 2 days, 5:52:41 time: 0.4743 data_time: 0.0346 memory: 18108 grad_norm: 2.9377 loss: 4.7154 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6953 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 2.0200 2023/01/31 23:38:10 - mmengine - INFO - Epoch(train) [54][1500/1879] lr: 9.8050e-02 eta: 2 days, 5:52:30 time: 0.5060 data_time: 0.0343 memory: 18108 grad_norm: 2.9372 loss: 4.9677 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9566 top1_acc_1: 0.4941 top5_acc_1: 0.6588 loss_cls_1: 2.0112 2023/01/31 23:38:20 - mmengine - INFO - Epoch(train) [54][1520/1879] lr: 9.8048e-02 eta: 2 days, 5:52:19 time: 0.4957 data_time: 0.0431 memory: 18108 grad_norm: 2.8969 loss: 4.8743 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.9056 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 1.9687 2023/01/31 23:38:30 - mmengine - INFO - Epoch(train) [54][1540/1879] lr: 9.8046e-02 eta: 2 days, 5:52:08 time: 0.5010 data_time: 0.0318 memory: 18108 grad_norm: 2.9098 loss: 4.6032 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.6828 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.9204 2023/01/31 23:38:40 - mmengine - INFO - Epoch(train) [54][1560/1879] lr: 9.8044e-02 eta: 2 days, 5:51:57 time: 0.4982 data_time: 0.0338 memory: 18108 grad_norm: 2.8772 loss: 4.7042 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 2.7443 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 1.9599 2023/01/31 23:38:50 - mmengine - INFO - Epoch(train) [54][1580/1879] lr: 9.8042e-02 eta: 2 days, 5:51:46 time: 0.4954 data_time: 0.0347 memory: 18108 grad_norm: 2.9188 loss: 4.8591 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8345 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0246 2023/01/31 23:39:00 - mmengine - INFO - Epoch(train) [54][1600/1879] lr: 9.8040e-02 eta: 2 days, 5:51:35 time: 0.5034 data_time: 0.0373 memory: 18108 grad_norm: 2.9505 loss: 4.6085 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7068 top1_acc_1: 0.4588 top5_acc_1: 0.7647 loss_cls_1: 1.9016 2023/01/31 23:39:10 - mmengine - INFO - Epoch(train) [54][1620/1879] lr: 9.8038e-02 eta: 2 days, 5:51:24 time: 0.5050 data_time: 0.0325 memory: 18108 grad_norm: 2.9734 loss: 4.7510 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7040 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.0470 2023/01/31 23:39:20 - mmengine - INFO - Epoch(train) [54][1640/1879] lr: 9.8036e-02 eta: 2 days, 5:51:14 time: 0.5056 data_time: 0.0332 memory: 18108 grad_norm: 2.9776 loss: 4.7526 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7515 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.0011 2023/01/31 23:39:30 - mmengine - INFO - Epoch(train) [54][1660/1879] lr: 9.8034e-02 eta: 2 days, 5:51:03 time: 0.5054 data_time: 0.0333 memory: 18108 grad_norm: 2.8817 loss: 4.8421 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8548 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9873 2023/01/31 23:39:40 - mmengine - INFO - Epoch(train) [54][1680/1879] lr: 9.8032e-02 eta: 2 days, 5:50:52 time: 0.5003 data_time: 0.0397 memory: 18108 grad_norm: 2.8786 loss: 4.6676 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7009 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.9667 2023/01/31 23:39:50 - mmengine - INFO - Epoch(train) [54][1700/1879] lr: 9.8030e-02 eta: 2 days, 5:50:42 time: 0.5122 data_time: 0.0340 memory: 18108 grad_norm: 2.9170 loss: 4.8080 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8480 top1_acc_1: 0.4353 top5_acc_1: 0.7059 loss_cls_1: 1.9600 2023/01/31 23:40:00 - mmengine - INFO - Epoch(train) [54][1720/1879] lr: 9.8028e-02 eta: 2 days, 5:50:30 time: 0.4893 data_time: 0.0337 memory: 18108 grad_norm: 2.9243 loss: 4.7529 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.8506 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9023 2023/01/31 23:40:11 - mmengine - INFO - Epoch(train) [54][1740/1879] lr: 9.8025e-02 eta: 2 days, 5:50:21 time: 0.5207 data_time: 0.0329 memory: 18108 grad_norm: 2.9560 loss: 4.6884 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8003 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8881 2023/01/31 23:40:21 - mmengine - INFO - Epoch(train) [54][1760/1879] lr: 9.8023e-02 eta: 2 days, 5:50:10 time: 0.5092 data_time: 0.0391 memory: 18108 grad_norm: 2.9495 loss: 4.9773 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.9468 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.0305 2023/01/31 23:40:31 - mmengine - INFO - Epoch(train) [54][1780/1879] lr: 9.8021e-02 eta: 2 days, 5:49:59 time: 0.4954 data_time: 0.0327 memory: 18108 grad_norm: 2.9755 loss: 4.6573 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6484 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 2.0089 2023/01/31 23:40:41 - mmengine - INFO - Epoch(train) [54][1800/1879] lr: 9.8019e-02 eta: 2 days, 5:49:49 time: 0.5082 data_time: 0.0319 memory: 18108 grad_norm: 2.9112 loss: 4.7297 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7481 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.9816 2023/01/31 23:40:51 - mmengine - INFO - Epoch(train) [54][1820/1879] lr: 9.8017e-02 eta: 2 days, 5:49:39 time: 0.5153 data_time: 0.0346 memory: 18108 grad_norm: 3.0081 loss: 4.8338 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7951 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.0387 2023/01/31 23:41:01 - mmengine - INFO - Epoch(train) [54][1840/1879] lr: 9.8015e-02 eta: 2 days, 5:49:27 time: 0.4882 data_time: 0.0345 memory: 18108 grad_norm: 2.9469 loss: 5.0327 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9453 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0874 2023/01/31 23:41:11 - mmengine - INFO - Epoch(train) [54][1860/1879] lr: 9.8013e-02 eta: 2 days, 5:49:17 time: 0.5176 data_time: 0.0331 memory: 18108 grad_norm: 2.8927 loss: 4.7320 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6911 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 2.0408 2023/01/31 23:41:20 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 23:41:20 - mmengine - INFO - Epoch(train) [54][1879/1879] lr: 9.8011e-02 eta: 2 days, 5:49:05 time: 0.4825 data_time: 0.0299 memory: 18108 grad_norm: 2.9191 loss: 4.5866 top1_acc_0: 0.4286 top5_acc_0: 0.5714 loss_cls_0: 2.5800 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 2.0066 2023/01/31 23:41:35 - mmengine - INFO - Epoch(train) [55][ 20/1879] lr: 9.8009e-02 eta: 2 days, 5:49:11 time: 0.7199 data_time: 0.2334 memory: 18108 grad_norm: 2.9277 loss: 4.6789 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7846 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.8943 2023/01/31 23:41:45 - mmengine - INFO - Epoch(train) [55][ 40/1879] lr: 9.8007e-02 eta: 2 days, 5:48:57 time: 0.4721 data_time: 0.0339 memory: 18108 grad_norm: 2.9439 loss: 4.4320 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6240 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8080 2023/01/31 23:41:54 - mmengine - INFO - Epoch(train) [55][ 60/1879] lr: 9.8005e-02 eta: 2 days, 5:48:45 time: 0.4838 data_time: 0.0347 memory: 18108 grad_norm: 2.9017 loss: 4.7897 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8286 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.9611 2023/01/31 23:42:05 - mmengine - INFO - Epoch(train) [55][ 80/1879] lr: 9.8002e-02 eta: 2 days, 5:48:35 time: 0.5139 data_time: 0.0410 memory: 18108 grad_norm: 2.9118 loss: 4.2547 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.4026 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.8521 2023/01/31 23:42:14 - mmengine - INFO - Epoch(train) [55][ 100/1879] lr: 9.8000e-02 eta: 2 days, 5:48:23 time: 0.4831 data_time: 0.0339 memory: 18108 grad_norm: 2.9883 loss: 4.8228 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.8557 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.9671 2023/01/31 23:42:24 - mmengine - INFO - Epoch(train) [55][ 120/1879] lr: 9.7998e-02 eta: 2 days, 5:48:10 time: 0.4770 data_time: 0.0347 memory: 18108 grad_norm: 2.9281 loss: 4.5151 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6543 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.8608 2023/01/31 23:42:34 - mmengine - INFO - Epoch(train) [55][ 140/1879] lr: 9.7996e-02 eta: 2 days, 5:48:00 time: 0.5110 data_time: 0.0334 memory: 18108 grad_norm: 2.9029 loss: 4.4785 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.5462 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.9323 2023/01/31 23:42:44 - mmengine - INFO - Epoch(train) [55][ 160/1879] lr: 9.7994e-02 eta: 2 days, 5:47:50 time: 0.5087 data_time: 0.0392 memory: 18108 grad_norm: 2.9111 loss: 4.4397 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4527 top1_acc_1: 0.4824 top5_acc_1: 0.6706 loss_cls_1: 1.9870 2023/01/31 23:42:54 - mmengine - INFO - Epoch(train) [55][ 180/1879] lr: 9.7992e-02 eta: 2 days, 5:47:38 time: 0.4929 data_time: 0.0327 memory: 18108 grad_norm: 2.9373 loss: 4.6282 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7142 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.9140 2023/01/31 23:43:04 - mmengine - INFO - Epoch(train) [55][ 200/1879] lr: 9.7990e-02 eta: 2 days, 5:47:27 time: 0.4904 data_time: 0.0330 memory: 18108 grad_norm: 2.9904 loss: 4.8093 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8867 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.9226 2023/01/31 23:43:14 - mmengine - INFO - Epoch(train) [55][ 220/1879] lr: 9.7988e-02 eta: 2 days, 5:47:16 time: 0.5041 data_time: 0.0334 memory: 18108 grad_norm: 2.9072 loss: 4.7653 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.8638 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9016 2023/01/31 23:43:24 - mmengine - INFO - Epoch(train) [55][ 240/1879] lr: 9.7986e-02 eta: 2 days, 5:47:05 time: 0.5008 data_time: 0.0412 memory: 18108 grad_norm: 2.9969 loss: 4.7333 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8338 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.8995 2023/01/31 23:43:34 - mmengine - INFO - Epoch(train) [55][ 260/1879] lr: 9.7983e-02 eta: 2 days, 5:46:54 time: 0.4994 data_time: 0.0354 memory: 18108 grad_norm: 2.9050 loss: 4.7116 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8462 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.8654 2023/01/31 23:43:44 - mmengine - INFO - Epoch(train) [55][ 280/1879] lr: 9.7981e-02 eta: 2 days, 5:46:44 time: 0.5126 data_time: 0.0323 memory: 18108 grad_norm: 2.9063 loss: 4.7617 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8381 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.9236 2023/01/31 23:43:55 - mmengine - INFO - Epoch(train) [55][ 300/1879] lr: 9.7979e-02 eta: 2 days, 5:46:33 time: 0.5072 data_time: 0.0339 memory: 18108 grad_norm: 2.9285 loss: 4.4443 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5759 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.8685 2023/01/31 23:44:05 - mmengine - INFO - Epoch(train) [55][ 320/1879] lr: 9.7977e-02 eta: 2 days, 5:46:22 time: 0.4954 data_time: 0.0408 memory: 18108 grad_norm: 2.9134 loss: 4.5230 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.5884 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.9345 2023/01/31 23:44:15 - mmengine - INFO - Epoch(train) [55][ 340/1879] lr: 9.7975e-02 eta: 2 days, 5:46:12 time: 0.5116 data_time: 0.0338 memory: 18108 grad_norm: 2.9758 loss: 4.6023 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7684 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8338 2023/01/31 23:44:25 - mmengine - INFO - Epoch(train) [55][ 360/1879] lr: 9.7973e-02 eta: 2 days, 5:46:01 time: 0.5052 data_time: 0.0345 memory: 18108 grad_norm: 2.9641 loss: 4.6085 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.6062 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.0023 2023/01/31 23:44:35 - mmengine - INFO - Epoch(train) [55][ 380/1879] lr: 9.7971e-02 eta: 2 days, 5:45:50 time: 0.4920 data_time: 0.0359 memory: 18108 grad_norm: 2.8918 loss: 4.6578 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7454 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.9123 2023/01/31 23:44:45 - mmengine - INFO - Epoch(train) [55][ 400/1879] lr: 9.7969e-02 eta: 2 days, 5:45:38 time: 0.4921 data_time: 0.0344 memory: 18108 grad_norm: 2.9084 loss: 4.7129 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8077 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.9052 2023/01/31 23:44:55 - mmengine - INFO - Epoch(train) [55][ 420/1879] lr: 9.7966e-02 eta: 2 days, 5:45:28 time: 0.5102 data_time: 0.0345 memory: 18108 grad_norm: 2.9301 loss: 4.6301 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.6550 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 1.9751 2023/01/31 23:45:05 - mmengine - INFO - Epoch(train) [55][ 440/1879] lr: 9.7964e-02 eta: 2 days, 5:45:16 time: 0.4876 data_time: 0.0352 memory: 18108 grad_norm: 2.9731 loss: 4.5432 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7127 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 1.8306 2023/01/31 23:45:14 - mmengine - INFO - Epoch(train) [55][ 460/1879] lr: 9.7962e-02 eta: 2 days, 5:45:04 time: 0.4901 data_time: 0.0344 memory: 18108 grad_norm: 2.9206 loss: 4.3700 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4275 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.9425 2023/01/31 23:45:24 - mmengine - INFO - Epoch(train) [55][ 480/1879] lr: 9.7960e-02 eta: 2 days, 5:44:53 time: 0.4899 data_time: 0.0399 memory: 18108 grad_norm: 2.9054 loss: 4.8760 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.8791 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9968 2023/01/31 23:45:34 - mmengine - INFO - Epoch(train) [55][ 500/1879] lr: 9.7958e-02 eta: 2 days, 5:44:43 time: 0.5154 data_time: 0.0336 memory: 18108 grad_norm: 2.9299 loss: 4.7111 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7329 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.9782 2023/01/31 23:45:44 - mmengine - INFO - Epoch(train) [55][ 520/1879] lr: 9.7956e-02 eta: 2 days, 5:44:31 time: 0.4842 data_time: 0.0345 memory: 18108 grad_norm: 2.9057 loss: 4.7365 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6567 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 2.0798 2023/01/31 23:45:51 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 23:45:54 - mmengine - INFO - Epoch(train) [55][ 540/1879] lr: 9.7954e-02 eta: 2 days, 5:44:20 time: 0.5025 data_time: 0.0338 memory: 18108 grad_norm: 2.9440 loss: 4.4255 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4577 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.9678 2023/01/31 23:46:04 - mmengine - INFO - Epoch(train) [55][ 560/1879] lr: 9.7952e-02 eta: 2 days, 5:44:08 time: 0.4942 data_time: 0.0412 memory: 18108 grad_norm: 2.9724 loss: 4.8812 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9070 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9742 2023/01/31 23:46:14 - mmengine - INFO - Epoch(train) [55][ 580/1879] lr: 9.7949e-02 eta: 2 days, 5:43:58 time: 0.5028 data_time: 0.0347 memory: 18108 grad_norm: 2.8815 loss: 4.6959 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7451 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.9507 2023/01/31 23:46:24 - mmengine - INFO - Epoch(train) [55][ 600/1879] lr: 9.7947e-02 eta: 2 days, 5:43:46 time: 0.4847 data_time: 0.0358 memory: 18108 grad_norm: 2.9225 loss: 4.6909 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6939 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9970 2023/01/31 23:46:34 - mmengine - INFO - Epoch(train) [55][ 620/1879] lr: 9.7945e-02 eta: 2 days, 5:43:35 time: 0.5087 data_time: 0.0345 memory: 18108 grad_norm: 2.9094 loss: 4.7515 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7662 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9853 2023/01/31 23:46:44 - mmengine - INFO - Epoch(train) [55][ 640/1879] lr: 9.7943e-02 eta: 2 days, 5:43:25 time: 0.5038 data_time: 0.0407 memory: 18108 grad_norm: 3.0177 loss: 4.9708 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 3.0224 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 1.9484 2023/01/31 23:46:54 - mmengine - INFO - Epoch(train) [55][ 660/1879] lr: 9.7941e-02 eta: 2 days, 5:43:13 time: 0.4965 data_time: 0.0348 memory: 18108 grad_norm: 2.9154 loss: 4.4871 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4941 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9930 2023/01/31 23:47:04 - mmengine - INFO - Epoch(train) [55][ 680/1879] lr: 9.7939e-02 eta: 2 days, 5:43:02 time: 0.5020 data_time: 0.0346 memory: 18108 grad_norm: 2.9414 loss: 4.6977 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7355 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9622 2023/01/31 23:47:15 - mmengine - INFO - Epoch(train) [55][ 700/1879] lr: 9.7937e-02 eta: 2 days, 5:42:53 time: 0.5226 data_time: 0.0417 memory: 18108 grad_norm: 2.9411 loss: 4.7454 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.8069 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.9385 2023/01/31 23:47:25 - mmengine - INFO - Epoch(train) [55][ 720/1879] lr: 9.7934e-02 eta: 2 days, 5:42:42 time: 0.5021 data_time: 0.0355 memory: 18108 grad_norm: 2.9282 loss: 4.6938 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7118 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.9820 2023/01/31 23:47:35 - mmengine - INFO - Epoch(train) [55][ 740/1879] lr: 9.7932e-02 eta: 2 days, 5:42:32 time: 0.5076 data_time: 0.0339 memory: 18108 grad_norm: 2.9218 loss: 4.4899 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5504 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.9395 2023/01/31 23:47:45 - mmengine - INFO - Epoch(train) [55][ 760/1879] lr: 9.7930e-02 eta: 2 days, 5:42:20 time: 0.4941 data_time: 0.0333 memory: 18108 grad_norm: 2.9575 loss: 4.6442 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7512 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8930 2023/01/31 23:47:55 - mmengine - INFO - Epoch(train) [55][ 780/1879] lr: 9.7928e-02 eta: 2 days, 5:42:11 time: 0.5179 data_time: 0.0418 memory: 18108 grad_norm: 2.9589 loss: 4.7273 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7989 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.9284 2023/01/31 23:48:05 - mmengine - INFO - Epoch(train) [55][ 800/1879] lr: 9.7926e-02 eta: 2 days, 5:42:00 time: 0.4992 data_time: 0.0347 memory: 18108 grad_norm: 2.9412 loss: 4.3683 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.4891 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.8792 2023/01/31 23:48:15 - mmengine - INFO - Epoch(train) [55][ 820/1879] lr: 9.7924e-02 eta: 2 days, 5:41:49 time: 0.5036 data_time: 0.0333 memory: 18108 grad_norm: 2.9186 loss: 4.3926 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4764 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.9161 2023/01/31 23:48:25 - mmengine - INFO - Epoch(train) [55][ 840/1879] lr: 9.7922e-02 eta: 2 days, 5:41:39 time: 0.5106 data_time: 0.0330 memory: 18108 grad_norm: 2.9936 loss: 4.7336 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6620 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0716 2023/01/31 23:48:35 - mmengine - INFO - Epoch(train) [55][ 860/1879] lr: 9.7919e-02 eta: 2 days, 5:41:28 time: 0.5034 data_time: 0.0399 memory: 18108 grad_norm: 2.9391 loss: 4.6711 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.6908 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9802 2023/01/31 23:48:46 - mmengine - INFO - Epoch(train) [55][ 880/1879] lr: 9.7917e-02 eta: 2 days, 5:41:18 time: 0.5054 data_time: 0.0330 memory: 18108 grad_norm: 2.9929 loss: 4.4880 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5584 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9296 2023/01/31 23:48:56 - mmengine - INFO - Epoch(train) [55][ 900/1879] lr: 9.7915e-02 eta: 2 days, 5:41:07 time: 0.5041 data_time: 0.0346 memory: 18108 grad_norm: 2.9136 loss: 4.4834 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5156 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.9679 2023/01/31 23:49:06 - mmengine - INFO - Epoch(train) [55][ 920/1879] lr: 9.7913e-02 eta: 2 days, 5:40:57 time: 0.5123 data_time: 0.0324 memory: 18108 grad_norm: 2.9891 loss: 4.4724 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5605 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9119 2023/01/31 23:49:16 - mmengine - INFO - Epoch(train) [55][ 940/1879] lr: 9.7911e-02 eta: 2 days, 5:40:47 time: 0.5106 data_time: 0.0335 memory: 18108 grad_norm: 2.9172 loss: 4.7055 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6967 top1_acc_1: 0.6118 top5_acc_1: 0.7529 loss_cls_1: 2.0088 2023/01/31 23:49:26 - mmengine - INFO - Epoch(train) [55][ 960/1879] lr: 9.7909e-02 eta: 2 days, 5:40:36 time: 0.4997 data_time: 0.0355 memory: 18108 grad_norm: 2.9756 loss: 4.6902 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.7233 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9669 2023/01/31 23:49:36 - mmengine - INFO - Epoch(train) [55][ 980/1879] lr: 9.7906e-02 eta: 2 days, 5:40:25 time: 0.5036 data_time: 0.0338 memory: 18108 grad_norm: 2.9127 loss: 4.7367 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6475 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 2.0892 2023/01/31 23:49:46 - mmengine - INFO - Epoch(train) [55][1000/1879] lr: 9.7904e-02 eta: 2 days, 5:40:15 time: 0.5148 data_time: 0.0405 memory: 18108 grad_norm: 3.0251 loss: 4.8486 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8819 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.9667 2023/01/31 23:49:56 - mmengine - INFO - Epoch(train) [55][1020/1879] lr: 9.7902e-02 eta: 2 days, 5:40:04 time: 0.5002 data_time: 0.0337 memory: 18108 grad_norm: 2.9706 loss: 4.7119 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6696 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 2.0423 2023/01/31 23:50:07 - mmengine - INFO - Epoch(train) [55][1040/1879] lr: 9.7900e-02 eta: 2 days, 5:39:54 time: 0.5078 data_time: 0.0323 memory: 18108 grad_norm: 2.9005 loss: 4.5788 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5896 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.9892 2023/01/31 23:50:17 - mmengine - INFO - Epoch(train) [55][1060/1879] lr: 9.7898e-02 eta: 2 days, 5:39:43 time: 0.5082 data_time: 0.0386 memory: 18108 grad_norm: 2.9207 loss: 4.7705 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7632 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 2.0072 2023/01/31 23:50:27 - mmengine - INFO - Epoch(train) [55][1080/1879] lr: 9.7896e-02 eta: 2 days, 5:39:33 time: 0.5129 data_time: 0.0321 memory: 18108 grad_norm: 2.9656 loss: 4.7052 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8079 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.8973 2023/01/31 23:50:37 - mmengine - INFO - Epoch(train) [55][1100/1879] lr: 9.7894e-02 eta: 2 days, 5:39:22 time: 0.5016 data_time: 0.0344 memory: 18108 grad_norm: 2.9286 loss: 4.8355 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.8438 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.9917 2023/01/31 23:50:47 - mmengine - INFO - Epoch(train) [55][1120/1879] lr: 9.7891e-02 eta: 2 days, 5:39:11 time: 0.4957 data_time: 0.0355 memory: 18108 grad_norm: 2.9255 loss: 4.4015 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.5938 top1_acc_1: 0.6941 top5_acc_1: 0.8118 loss_cls_1: 1.8077 2023/01/31 23:50:57 - mmengine - INFO - Epoch(train) [55][1140/1879] lr: 9.7889e-02 eta: 2 days, 5:39:02 time: 0.5217 data_time: 0.0392 memory: 18108 grad_norm: 2.9285 loss: 4.6273 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6459 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 1.9814 2023/01/31 23:51:08 - mmengine - INFO - Epoch(train) [55][1160/1879] lr: 9.7887e-02 eta: 2 days, 5:38:51 time: 0.5083 data_time: 0.0372 memory: 18108 grad_norm: 2.9085 loss: 5.0566 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.9319 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 2.1247 2023/01/31 23:51:18 - mmengine - INFO - Epoch(train) [55][1180/1879] lr: 9.7885e-02 eta: 2 days, 5:38:40 time: 0.4979 data_time: 0.0289 memory: 18108 grad_norm: 2.9465 loss: 4.5279 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6284 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.8996 2023/01/31 23:51:28 - mmengine - INFO - Epoch(train) [55][1200/1879] lr: 9.7883e-02 eta: 2 days, 5:38:30 time: 0.5149 data_time: 0.0419 memory: 18108 grad_norm: 2.8734 loss: 4.6699 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6181 top1_acc_1: 0.4588 top5_acc_1: 0.6706 loss_cls_1: 2.0518 2023/01/31 23:51:38 - mmengine - INFO - Epoch(train) [55][1220/1879] lr: 9.7881e-02 eta: 2 days, 5:38:20 time: 0.5050 data_time: 0.0303 memory: 18108 grad_norm: 2.9410 loss: 4.4970 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6187 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.8783 2023/01/31 23:51:48 - mmengine - INFO - Epoch(train) [55][1240/1879] lr: 9.7878e-02 eta: 2 days, 5:38:09 time: 0.5066 data_time: 0.0364 memory: 18108 grad_norm: 2.9060 loss: 4.8332 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8590 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9741 2023/01/31 23:51:58 - mmengine - INFO - Epoch(train) [55][1260/1879] lr: 9.7876e-02 eta: 2 days, 5:37:59 time: 0.5073 data_time: 0.0361 memory: 18108 grad_norm: 2.9504 loss: 4.7623 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7697 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9926 2023/01/31 23:52:08 - mmengine - INFO - Epoch(train) [55][1280/1879] lr: 9.7874e-02 eta: 2 days, 5:37:48 time: 0.5063 data_time: 0.0369 memory: 18108 grad_norm: 2.9157 loss: 4.6707 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6871 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.9836 2023/01/31 23:52:19 - mmengine - INFO - Epoch(train) [55][1300/1879] lr: 9.7872e-02 eta: 2 days, 5:37:38 time: 0.5072 data_time: 0.0294 memory: 18108 grad_norm: 2.9715 loss: 4.6849 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.6629 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0220 2023/01/31 23:52:29 - mmengine - INFO - Epoch(train) [55][1320/1879] lr: 9.7870e-02 eta: 2 days, 5:37:28 time: 0.5075 data_time: 0.0430 memory: 18108 grad_norm: 2.9253 loss: 4.8066 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8180 top1_acc_1: 0.5647 top5_acc_1: 0.7176 loss_cls_1: 1.9886 2023/01/31 23:52:39 - mmengine - INFO - Epoch(train) [55][1340/1879] lr: 9.7867e-02 eta: 2 days, 5:37:17 time: 0.5039 data_time: 0.0315 memory: 18108 grad_norm: 2.9210 loss: 4.5846 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6044 top1_acc_1: 0.4471 top5_acc_1: 0.7412 loss_cls_1: 1.9803 2023/01/31 23:52:49 - mmengine - INFO - Epoch(train) [55][1360/1879] lr: 9.7865e-02 eta: 2 days, 5:37:06 time: 0.5035 data_time: 0.0364 memory: 18108 grad_norm: 2.9237 loss: 4.6334 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.7712 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8622 2023/01/31 23:52:59 - mmengine - INFO - Epoch(train) [55][1380/1879] lr: 9.7863e-02 eta: 2 days, 5:36:55 time: 0.5023 data_time: 0.0311 memory: 18108 grad_norm: 2.9069 loss: 4.8022 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8638 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.9384 2023/01/31 23:53:09 - mmengine - INFO - Epoch(train) [55][1400/1879] lr: 9.7861e-02 eta: 2 days, 5:36:45 time: 0.5135 data_time: 0.0431 memory: 18108 grad_norm: 2.8770 loss: 4.6334 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5923 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 2.0411 2023/01/31 23:53:19 - mmengine - INFO - Epoch(train) [55][1420/1879] lr: 9.7859e-02 eta: 2 days, 5:36:35 time: 0.5048 data_time: 0.0296 memory: 18108 grad_norm: 2.9092 loss: 4.4294 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4678 top1_acc_1: 0.4471 top5_acc_1: 0.7059 loss_cls_1: 1.9616 2023/01/31 23:53:29 - mmengine - INFO - Epoch(train) [55][1440/1879] lr: 9.7857e-02 eta: 2 days, 5:36:24 time: 0.4983 data_time: 0.0360 memory: 18108 grad_norm: 2.9385 loss: 4.7109 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.6617 top1_acc_1: 0.5882 top5_acc_1: 0.7294 loss_cls_1: 2.0492 2023/01/31 23:53:39 - mmengine - INFO - Epoch(train) [55][1460/1879] lr: 9.7854e-02 eta: 2 days, 5:36:13 time: 0.5025 data_time: 0.0396 memory: 18108 grad_norm: 2.8731 loss: 4.7407 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8153 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.9254 2023/01/31 23:53:50 - mmengine - INFO - Epoch(train) [55][1480/1879] lr: 9.7852e-02 eta: 2 days, 5:36:03 time: 0.5140 data_time: 0.0361 memory: 18108 grad_norm: 2.8906 loss: 4.7539 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7509 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 2.0030 2023/01/31 23:54:00 - mmengine - INFO - Epoch(train) [55][1500/1879] lr: 9.7850e-02 eta: 2 days, 5:35:52 time: 0.5018 data_time: 0.0322 memory: 18108 grad_norm: 2.9915 loss: 4.6150 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6818 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9332 2023/01/31 23:54:10 - mmengine - INFO - Epoch(train) [55][1520/1879] lr: 9.7848e-02 eta: 2 days, 5:35:41 time: 0.5019 data_time: 0.0372 memory: 18108 grad_norm: 2.9455 loss: 4.4890 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5601 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9289 2023/01/31 23:54:17 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 23:54:20 - mmengine - INFO - Epoch(train) [55][1540/1879] lr: 9.7846e-02 eta: 2 days, 5:35:31 time: 0.5144 data_time: 0.0321 memory: 18108 grad_norm: 2.9179 loss: 4.5471 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6007 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.9463 2023/01/31 23:54:31 - mmengine - INFO - Epoch(train) [55][1560/1879] lr: 9.7843e-02 eta: 2 days, 5:35:23 time: 0.5339 data_time: 0.0350 memory: 18108 grad_norm: 3.0002 loss: 4.9709 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9696 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.0013 2023/01/31 23:54:41 - mmengine - INFO - Epoch(train) [55][1580/1879] lr: 9.7841e-02 eta: 2 days, 5:35:12 time: 0.5078 data_time: 0.0299 memory: 18108 grad_norm: 2.9583 loss: 4.7199 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.6645 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 2.0553 2023/01/31 23:54:51 - mmengine - INFO - Epoch(train) [55][1600/1879] lr: 9.7839e-02 eta: 2 days, 5:35:02 time: 0.5019 data_time: 0.0345 memory: 18108 grad_norm: 2.8813 loss: 4.7849 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8868 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8981 2023/01/31 23:55:01 - mmengine - INFO - Epoch(train) [55][1620/1879] lr: 9.7837e-02 eta: 2 days, 5:34:52 time: 0.5238 data_time: 0.0296 memory: 18108 grad_norm: 2.9048 loss: 4.6531 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7026 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.9504 2023/01/31 23:55:12 - mmengine - INFO - Epoch(train) [55][1640/1879] lr: 9.7835e-02 eta: 2 days, 5:34:43 time: 0.5266 data_time: 0.0355 memory: 18108 grad_norm: 2.8604 loss: 4.5424 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6334 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9089 2023/01/31 23:55:22 - mmengine - INFO - Epoch(train) [55][1660/1879] lr: 9.7833e-02 eta: 2 days, 5:34:34 time: 0.5232 data_time: 0.0291 memory: 18108 grad_norm: 2.9534 loss: 4.8047 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7447 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 2.0600 2023/01/31 23:55:33 - mmengine - INFO - Epoch(train) [55][1680/1879] lr: 9.7830e-02 eta: 2 days, 5:34:26 time: 0.5352 data_time: 0.0351 memory: 18108 grad_norm: 2.9105 loss: 4.3405 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.4932 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8472 2023/01/31 23:55:43 - mmengine - INFO - Epoch(train) [55][1700/1879] lr: 9.7828e-02 eta: 2 days, 5:34:16 time: 0.5149 data_time: 0.0287 memory: 18108 grad_norm: 2.8772 loss: 4.8255 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8605 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.9650 2023/01/31 23:55:54 - mmengine - INFO - Epoch(train) [55][1720/1879] lr: 9.7826e-02 eta: 2 days, 5:34:07 time: 0.5304 data_time: 0.0382 memory: 18108 grad_norm: 2.9122 loss: 4.5455 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5485 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 1.9970 2023/01/31 23:56:05 - mmengine - INFO - Epoch(train) [55][1740/1879] lr: 9.7824e-02 eta: 2 days, 5:33:58 time: 0.5241 data_time: 0.0308 memory: 18108 grad_norm: 2.8969 loss: 4.5563 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5098 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0464 2023/01/31 23:56:15 - mmengine - INFO - Epoch(train) [55][1760/1879] lr: 9.7822e-02 eta: 2 days, 5:33:48 time: 0.5177 data_time: 0.0365 memory: 18108 grad_norm: 2.9836 loss: 4.8403 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8414 top1_acc_1: 0.5059 top5_acc_1: 0.7059 loss_cls_1: 1.9989 2023/01/31 23:56:26 - mmengine - INFO - Epoch(train) [55][1780/1879] lr: 9.7819e-02 eta: 2 days, 5:33:39 time: 0.5286 data_time: 0.0377 memory: 18108 grad_norm: 2.9448 loss: 4.8546 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8569 top1_acc_1: 0.4706 top5_acc_1: 0.7059 loss_cls_1: 1.9978 2023/01/31 23:56:36 - mmengine - INFO - Epoch(train) [55][1800/1879] lr: 9.7817e-02 eta: 2 days, 5:33:29 time: 0.5127 data_time: 0.0368 memory: 18108 grad_norm: 2.9390 loss: 4.8889 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.8689 top1_acc_1: 0.5765 top5_acc_1: 0.7294 loss_cls_1: 2.0200 2023/01/31 23:56:46 - mmengine - INFO - Epoch(train) [55][1820/1879] lr: 9.7815e-02 eta: 2 days, 5:33:20 time: 0.5184 data_time: 0.0298 memory: 18108 grad_norm: 2.9276 loss: 4.7240 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7275 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 1.9965 2023/01/31 23:56:57 - mmengine - INFO - Epoch(train) [55][1840/1879] lr: 9.7813e-02 eta: 2 days, 5:33:10 time: 0.5186 data_time: 0.0353 memory: 18108 grad_norm: 2.9604 loss: 4.7801 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.7252 top1_acc_1: 0.5059 top5_acc_1: 0.6824 loss_cls_1: 2.0549 2023/01/31 23:57:07 - mmengine - INFO - Epoch(train) [55][1860/1879] lr: 9.7811e-02 eta: 2 days, 5:33:01 time: 0.5217 data_time: 0.0315 memory: 18108 grad_norm: 2.9124 loss: 4.8136 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8180 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9957 2023/01/31 23:57:17 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/01/31 23:57:17 - mmengine - INFO - Epoch(train) [55][1879/1879] lr: 9.7808e-02 eta: 2 days, 5:32:50 time: 0.5014 data_time: 0.0338 memory: 18108 grad_norm: 2.9568 loss: 4.7520 top1_acc_0: 0.2857 top5_acc_0: 0.4286 loss_cls_0: 2.7379 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0141 2023/01/31 23:57:31 - mmengine - INFO - Epoch(train) [56][ 20/1879] lr: 9.7806e-02 eta: 2 days, 5:32:54 time: 0.7033 data_time: 0.2590 memory: 18108 grad_norm: 2.9002 loss: 4.7081 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7358 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 1.9723 2023/01/31 23:57:41 - mmengine - INFO - Epoch(train) [56][ 40/1879] lr: 9.7804e-02 eta: 2 days, 5:32:41 time: 0.4701 data_time: 0.0309 memory: 18108 grad_norm: 2.9027 loss: 4.4417 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5792 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8625 2023/01/31 23:57:50 - mmengine - INFO - Epoch(train) [56][ 60/1879] lr: 9.7802e-02 eta: 2 days, 5:32:29 time: 0.4824 data_time: 0.0380 memory: 18108 grad_norm: 2.9074 loss: 4.5987 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6393 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.9594 2023/01/31 23:58:01 - mmengine - INFO - Epoch(train) [56][ 80/1879] lr: 9.7800e-02 eta: 2 days, 5:32:19 time: 0.5152 data_time: 0.0407 memory: 18108 grad_norm: 2.9596 loss: 4.6040 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7283 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8757 2023/01/31 23:58:10 - mmengine - INFO - Epoch(train) [56][ 100/1879] lr: 9.7797e-02 eta: 2 days, 5:32:07 time: 0.4823 data_time: 0.0395 memory: 18108 grad_norm: 2.9073 loss: 4.2614 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4845 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.7769 2023/01/31 23:58:20 - mmengine - INFO - Epoch(train) [56][ 120/1879] lr: 9.7795e-02 eta: 2 days, 5:31:53 time: 0.4688 data_time: 0.0295 memory: 18108 grad_norm: 2.8744 loss: 4.7441 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7972 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9469 2023/01/31 23:58:30 - mmengine - INFO - Epoch(train) [56][ 140/1879] lr: 9.7793e-02 eta: 2 days, 5:31:43 time: 0.5095 data_time: 0.0380 memory: 18108 grad_norm: 2.9367 loss: 4.7229 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8428 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8801 2023/01/31 23:58:39 - mmengine - INFO - Epoch(train) [56][ 160/1879] lr: 9.7791e-02 eta: 2 days, 5:31:30 time: 0.4771 data_time: 0.0293 memory: 18108 grad_norm: 2.9711 loss: 4.7595 top1_acc_0: 0.3125 top5_acc_0: 0.3125 loss_cls_0: 2.8680 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.8916 2023/01/31 23:58:49 - mmengine - INFO - Epoch(train) [56][ 180/1879] lr: 9.7789e-02 eta: 2 days, 5:31:18 time: 0.4793 data_time: 0.0393 memory: 18108 grad_norm: 2.8810 loss: 4.7578 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.8306 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.9272 2023/01/31 23:58:59 - mmengine - INFO - Epoch(train) [56][ 200/1879] lr: 9.7786e-02 eta: 2 days, 5:31:05 time: 0.4766 data_time: 0.0369 memory: 18108 grad_norm: 2.9495 loss: 4.6839 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7060 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 1.9779 2023/01/31 23:59:08 - mmengine - INFO - Epoch(train) [56][ 220/1879] lr: 9.7784e-02 eta: 2 days, 5:30:54 time: 0.4933 data_time: 0.0395 memory: 18108 grad_norm: 2.9333 loss: 4.5844 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6328 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9516 2023/01/31 23:59:18 - mmengine - INFO - Epoch(train) [56][ 240/1879] lr: 9.7782e-02 eta: 2 days, 5:30:42 time: 0.4810 data_time: 0.0300 memory: 18108 grad_norm: 2.9127 loss: 4.8562 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 3.0139 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.8424 2023/01/31 23:59:28 - mmengine - INFO - Epoch(train) [56][ 260/1879] lr: 9.7780e-02 eta: 2 days, 5:30:30 time: 0.4894 data_time: 0.0444 memory: 18108 grad_norm: 2.9447 loss: 4.7030 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7093 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.9936 2023/01/31 23:59:37 - mmengine - INFO - Epoch(train) [56][ 280/1879] lr: 9.7777e-02 eta: 2 days, 5:30:17 time: 0.4760 data_time: 0.0313 memory: 18108 grad_norm: 2.9318 loss: 4.5896 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5805 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 2.0091 2023/01/31 23:59:47 - mmengine - INFO - Epoch(train) [56][ 300/1879] lr: 9.7775e-02 eta: 2 days, 5:30:06 time: 0.5001 data_time: 0.0376 memory: 18108 grad_norm: 2.9495 loss: 4.5886 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6846 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.9039 2023/01/31 23:59:57 - mmengine - INFO - Epoch(train) [56][ 320/1879] lr: 9.7773e-02 eta: 2 days, 5:29:54 time: 0.4817 data_time: 0.0321 memory: 18108 grad_norm: 2.8891 loss: 4.5573 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6647 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 1.8926 2023/02/01 00:00:07 - mmengine - INFO - Epoch(train) [56][ 340/1879] lr: 9.7771e-02 eta: 2 days, 5:29:43 time: 0.5018 data_time: 0.0429 memory: 18108 grad_norm: 2.9587 loss: 4.6410 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.6580 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.9829 2023/02/01 00:00:17 - mmengine - INFO - Epoch(train) [56][ 360/1879] lr: 9.7769e-02 eta: 2 days, 5:29:32 time: 0.4970 data_time: 0.0291 memory: 18108 grad_norm: 2.9672 loss: 4.5633 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7047 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.8586 2023/02/01 00:00:27 - mmengine - INFO - Epoch(train) [56][ 380/1879] lr: 9.7766e-02 eta: 2 days, 5:29:20 time: 0.4895 data_time: 0.0360 memory: 18108 grad_norm: 2.9480 loss: 4.6227 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6708 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.9519 2023/02/01 00:00:37 - mmengine - INFO - Epoch(train) [56][ 400/1879] lr: 9.7764e-02 eta: 2 days, 5:29:09 time: 0.4950 data_time: 0.0358 memory: 18108 grad_norm: 2.9126 loss: 4.4128 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.4930 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.9198 2023/02/01 00:00:47 - mmengine - INFO - Epoch(train) [56][ 420/1879] lr: 9.7762e-02 eta: 2 days, 5:28:58 time: 0.4970 data_time: 0.0394 memory: 18108 grad_norm: 2.9233 loss: 4.7818 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6791 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 2.1027 2023/02/01 00:00:57 - mmengine - INFO - Epoch(train) [56][ 440/1879] lr: 9.7760e-02 eta: 2 days, 5:28:46 time: 0.4942 data_time: 0.0283 memory: 18108 grad_norm: 2.9172 loss: 4.5813 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6127 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.9686 2023/02/01 00:01:07 - mmengine - INFO - Epoch(train) [56][ 460/1879] lr: 9.7757e-02 eta: 2 days, 5:28:35 time: 0.4975 data_time: 0.0449 memory: 18108 grad_norm: 2.9845 loss: 4.7768 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8781 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.8987 2023/02/01 00:01:16 - mmengine - INFO - Epoch(train) [56][ 480/1879] lr: 9.7755e-02 eta: 2 days, 5:28:23 time: 0.4917 data_time: 0.0288 memory: 18108 grad_norm: 2.9630 loss: 4.6798 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 2.6725 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 2.0073 2023/02/01 00:01:26 - mmengine - INFO - Epoch(train) [56][ 500/1879] lr: 9.7753e-02 eta: 2 days, 5:28:13 time: 0.5001 data_time: 0.0372 memory: 18108 grad_norm: 3.0132 loss: 4.7435 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8180 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.9255 2023/02/01 00:01:36 - mmengine - INFO - Epoch(train) [56][ 520/1879] lr: 9.7751e-02 eta: 2 days, 5:28:01 time: 0.4914 data_time: 0.0292 memory: 18108 grad_norm: 2.8650 loss: 4.6038 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.6382 top1_acc_1: 0.4588 top5_acc_1: 0.7412 loss_cls_1: 1.9656 2023/02/01 00:01:46 - mmengine - INFO - Epoch(train) [56][ 540/1879] lr: 9.7749e-02 eta: 2 days, 5:27:49 time: 0.4925 data_time: 0.0445 memory: 18108 grad_norm: 2.9365 loss: 4.8178 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8808 top1_acc_1: 0.6706 top5_acc_1: 0.8000 loss_cls_1: 1.9370 2023/02/01 00:01:56 - mmengine - INFO - Epoch(train) [56][ 560/1879] lr: 9.7746e-02 eta: 2 days, 5:27:39 time: 0.5077 data_time: 0.0302 memory: 18108 grad_norm: 2.9024 loss: 4.6187 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6970 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9217 2023/02/01 00:02:06 - mmengine - INFO - Epoch(train) [56][ 580/1879] lr: 9.7744e-02 eta: 2 days, 5:27:28 time: 0.4938 data_time: 0.0363 memory: 18108 grad_norm: 2.9766 loss: 4.7737 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8557 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.9180 2023/02/01 00:02:16 - mmengine - INFO - Epoch(train) [56][ 600/1879] lr: 9.7742e-02 eta: 2 days, 5:27:17 time: 0.4978 data_time: 0.0372 memory: 18108 grad_norm: 2.9964 loss: 4.8458 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8836 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.9621 2023/02/01 00:02:26 - mmengine - INFO - Epoch(train) [56][ 620/1879] lr: 9.7740e-02 eta: 2 days, 5:27:06 time: 0.4997 data_time: 0.0378 memory: 18108 grad_norm: 2.8793 loss: 4.3061 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4537 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.8524 2023/02/01 00:02:36 - mmengine - INFO - Epoch(train) [56][ 640/1879] lr: 9.7737e-02 eta: 2 days, 5:26:55 time: 0.5022 data_time: 0.0306 memory: 18108 grad_norm: 2.9570 loss: 4.7081 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.7755 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.9326 2023/02/01 00:02:43 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 00:02:46 - mmengine - INFO - Epoch(train) [56][ 660/1879] lr: 9.7735e-02 eta: 2 days, 5:26:43 time: 0.4892 data_time: 0.0369 memory: 18108 grad_norm: 2.9963 loss: 4.6202 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6796 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9405 2023/02/01 00:02:56 - mmengine - INFO - Epoch(train) [56][ 680/1879] lr: 9.7733e-02 eta: 2 days, 5:26:32 time: 0.4925 data_time: 0.0275 memory: 18108 grad_norm: 2.9295 loss: 4.4609 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5674 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.8936 2023/02/01 00:03:06 - mmengine - INFO - Epoch(train) [56][ 700/1879] lr: 9.7731e-02 eta: 2 days, 5:26:20 time: 0.4922 data_time: 0.0365 memory: 18108 grad_norm: 2.9755 loss: 4.6456 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.7208 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.9248 2023/02/01 00:03:16 - mmengine - INFO - Epoch(train) [56][ 720/1879] lr: 9.7728e-02 eta: 2 days, 5:26:09 time: 0.5030 data_time: 0.0295 memory: 18108 grad_norm: 2.9448 loss: 4.7686 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7425 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 2.0261 2023/02/01 00:03:26 - mmengine - INFO - Epoch(train) [56][ 740/1879] lr: 9.7726e-02 eta: 2 days, 5:25:58 time: 0.4970 data_time: 0.0420 memory: 18108 grad_norm: 2.9366 loss: 4.7385 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.7526 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.9859 2023/02/01 00:03:36 - mmengine - INFO - Epoch(train) [56][ 760/1879] lr: 9.7724e-02 eta: 2 days, 5:25:47 time: 0.4960 data_time: 0.0293 memory: 18108 grad_norm: 2.9409 loss: 4.6021 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6904 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.9116 2023/02/01 00:03:45 - mmengine - INFO - Epoch(train) [56][ 780/1879] lr: 9.7722e-02 eta: 2 days, 5:25:35 time: 0.4892 data_time: 0.0378 memory: 18108 grad_norm: 2.9394 loss: 4.7038 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7021 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 2.0017 2023/02/01 00:03:55 - mmengine - INFO - Epoch(train) [56][ 800/1879] lr: 9.7719e-02 eta: 2 days, 5:25:24 time: 0.4964 data_time: 0.0355 memory: 18108 grad_norm: 2.9467 loss: 4.4677 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5100 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.9577 2023/02/01 00:04:05 - mmengine - INFO - Epoch(train) [56][ 820/1879] lr: 9.7717e-02 eta: 2 days, 5:25:13 time: 0.5017 data_time: 0.0375 memory: 18108 grad_norm: 2.9082 loss: 4.4973 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5913 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.9060 2023/02/01 00:04:15 - mmengine - INFO - Epoch(train) [56][ 840/1879] lr: 9.7715e-02 eta: 2 days, 5:25:02 time: 0.5052 data_time: 0.0300 memory: 18108 grad_norm: 2.9379 loss: 4.2151 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.2681 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.9470 2023/02/01 00:04:26 - mmengine - INFO - Epoch(train) [56][ 860/1879] lr: 9.7713e-02 eta: 2 days, 5:24:52 time: 0.5036 data_time: 0.0437 memory: 18108 grad_norm: 2.9949 loss: 4.7629 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.8441 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 1.9188 2023/02/01 00:04:36 - mmengine - INFO - Epoch(train) [56][ 880/1879] lr: 9.7710e-02 eta: 2 days, 5:24:42 time: 0.5159 data_time: 0.0300 memory: 18108 grad_norm: 2.9971 loss: 4.7125 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6788 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0338 2023/02/01 00:04:46 - mmengine - INFO - Epoch(train) [56][ 900/1879] lr: 9.7708e-02 eta: 2 days, 5:24:32 time: 0.5093 data_time: 0.0354 memory: 18108 grad_norm: 2.8850 loss: 4.7823 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8219 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9604 2023/02/01 00:04:56 - mmengine - INFO - Epoch(train) [56][ 920/1879] lr: 9.7706e-02 eta: 2 days, 5:24:22 time: 0.5130 data_time: 0.0285 memory: 18108 grad_norm: 2.9359 loss: 4.5952 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.7145 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8807 2023/02/01 00:05:07 - mmengine - INFO - Epoch(train) [56][ 940/1879] lr: 9.7704e-02 eta: 2 days, 5:24:11 time: 0.5094 data_time: 0.0424 memory: 18108 grad_norm: 2.8982 loss: 4.8273 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8457 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.9816 2023/02/01 00:05:17 - mmengine - INFO - Epoch(train) [56][ 960/1879] lr: 9.7701e-02 eta: 2 days, 5:24:02 time: 0.5216 data_time: 0.0289 memory: 18108 grad_norm: 2.9416 loss: 4.3931 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.4419 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.9512 2023/02/01 00:05:27 - mmengine - INFO - Epoch(train) [56][ 980/1879] lr: 9.7699e-02 eta: 2 days, 5:23:52 time: 0.5062 data_time: 0.0367 memory: 18108 grad_norm: 2.9438 loss: 4.6635 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6314 top1_acc_1: 0.4824 top5_acc_1: 0.6706 loss_cls_1: 2.0321 2023/02/01 00:05:37 - mmengine - INFO - Epoch(train) [56][1000/1879] lr: 9.7697e-02 eta: 2 days, 5:23:42 time: 0.5173 data_time: 0.0368 memory: 18108 grad_norm: 2.8836 loss: 4.4133 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4735 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9398 2023/02/01 00:05:48 - mmengine - INFO - Epoch(train) [56][1020/1879] lr: 9.7695e-02 eta: 2 days, 5:23:32 time: 0.5223 data_time: 0.0367 memory: 18108 grad_norm: 2.9351 loss: 4.7602 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.8167 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9436 2023/02/01 00:05:58 - mmengine - INFO - Epoch(train) [56][1040/1879] lr: 9.7692e-02 eta: 2 days, 5:23:22 time: 0.5083 data_time: 0.0279 memory: 18108 grad_norm: 2.9290 loss: 4.7184 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6849 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 2.0334 2023/02/01 00:06:08 - mmengine - INFO - Epoch(train) [56][1060/1879] lr: 9.7690e-02 eta: 2 days, 5:23:12 time: 0.5149 data_time: 0.0436 memory: 18108 grad_norm: 2.9257 loss: 4.8638 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.9242 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 1.9396 2023/02/01 00:06:19 - mmengine - INFO - Epoch(train) [56][1080/1879] lr: 9.7688e-02 eta: 2 days, 5:23:03 time: 0.5170 data_time: 0.0289 memory: 18108 grad_norm: 2.9107 loss: 4.9564 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.9344 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 2.0220 2023/02/01 00:06:29 - mmengine - INFO - Epoch(train) [56][1100/1879] lr: 9.7686e-02 eta: 2 days, 5:22:53 time: 0.5180 data_time: 0.0354 memory: 18108 grad_norm: 2.8998 loss: 4.6378 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6037 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0340 2023/02/01 00:06:39 - mmengine - INFO - Epoch(train) [56][1120/1879] lr: 9.7683e-02 eta: 2 days, 5:22:43 time: 0.5124 data_time: 0.0357 memory: 18108 grad_norm: 2.9475 loss: 4.4289 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5529 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.8760 2023/02/01 00:06:50 - mmengine - INFO - Epoch(train) [56][1140/1879] lr: 9.7681e-02 eta: 2 days, 5:22:33 time: 0.5156 data_time: 0.0356 memory: 18108 grad_norm: 2.9114 loss: 4.7022 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7553 top1_acc_1: 0.6588 top5_acc_1: 0.9294 loss_cls_1: 1.9469 2023/02/01 00:07:00 - mmengine - INFO - Epoch(train) [56][1160/1879] lr: 9.7679e-02 eta: 2 days, 5:22:24 time: 0.5279 data_time: 0.0271 memory: 18108 grad_norm: 3.0035 loss: 4.6641 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6461 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 2.0181 2023/02/01 00:07:10 - mmengine - INFO - Epoch(train) [56][1180/1879] lr: 9.7676e-02 eta: 2 days, 5:22:14 time: 0.5115 data_time: 0.0422 memory: 18108 grad_norm: 2.9164 loss: 4.6662 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7299 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9363 2023/02/01 00:07:21 - mmengine - INFO - Epoch(train) [56][1200/1879] lr: 9.7674e-02 eta: 2 days, 5:22:04 time: 0.5090 data_time: 0.0281 memory: 18108 grad_norm: 2.9450 loss: 4.7558 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7589 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9968 2023/02/01 00:07:31 - mmengine - INFO - Epoch(train) [56][1220/1879] lr: 9.7672e-02 eta: 2 days, 5:21:55 time: 0.5356 data_time: 0.0362 memory: 18108 grad_norm: 2.9097 loss: 4.4854 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5161 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.9694 2023/02/01 00:07:42 - mmengine - INFO - Epoch(train) [56][1240/1879] lr: 9.7670e-02 eta: 2 days, 5:21:45 time: 0.5064 data_time: 0.0293 memory: 18108 grad_norm: 2.9095 loss: 4.4324 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5237 top1_acc_1: 0.4588 top5_acc_1: 0.6824 loss_cls_1: 1.9087 2023/02/01 00:07:52 - mmengine - INFO - Epoch(train) [56][1260/1879] lr: 9.7667e-02 eta: 2 days, 5:21:35 time: 0.5115 data_time: 0.0435 memory: 18108 grad_norm: 2.9402 loss: 4.8276 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8152 top1_acc_1: 0.4471 top5_acc_1: 0.7294 loss_cls_1: 2.0124 2023/02/01 00:08:02 - mmengine - INFO - Epoch(train) [56][1280/1879] lr: 9.7665e-02 eta: 2 days, 5:21:24 time: 0.5099 data_time: 0.0281 memory: 18108 grad_norm: 2.9729 loss: 4.6709 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6965 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.9744 2023/02/01 00:08:12 - mmengine - INFO - Epoch(train) [56][1300/1879] lr: 9.7663e-02 eta: 2 days, 5:21:15 time: 0.5225 data_time: 0.0381 memory: 18108 grad_norm: 2.9350 loss: 4.8532 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8727 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.9805 2023/02/01 00:08:23 - mmengine - INFO - Epoch(train) [56][1320/1879] lr: 9.7661e-02 eta: 2 days, 5:21:05 time: 0.5101 data_time: 0.0361 memory: 18108 grad_norm: 2.9342 loss: 4.8111 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7351 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 2.0760 2023/02/01 00:08:33 - mmengine - INFO - Epoch(train) [56][1340/1879] lr: 9.7658e-02 eta: 2 days, 5:20:54 time: 0.5074 data_time: 0.0374 memory: 18108 grad_norm: 2.9532 loss: 4.7436 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6466 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0971 2023/02/01 00:08:43 - mmengine - INFO - Epoch(train) [56][1360/1879] lr: 9.7656e-02 eta: 2 days, 5:20:45 time: 0.5166 data_time: 0.0298 memory: 18108 grad_norm: 2.9255 loss: 4.7174 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7084 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 2.0090 2023/02/01 00:08:53 - mmengine - INFO - Epoch(train) [56][1380/1879] lr: 9.7654e-02 eta: 2 days, 5:20:35 time: 0.5150 data_time: 0.0368 memory: 18108 grad_norm: 2.9493 loss: 4.7270 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7766 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.9504 2023/02/01 00:09:04 - mmengine - INFO - Epoch(train) [56][1400/1879] lr: 9.7651e-02 eta: 2 days, 5:20:24 time: 0.5030 data_time: 0.0308 memory: 18108 grad_norm: 2.9195 loss: 4.7470 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.8237 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.9233 2023/02/01 00:09:14 - mmengine - INFO - Epoch(train) [56][1420/1879] lr: 9.7649e-02 eta: 2 days, 5:20:14 time: 0.5178 data_time: 0.0421 memory: 18108 grad_norm: 2.9035 loss: 4.7522 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8579 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.8943 2023/02/01 00:09:24 - mmengine - INFO - Epoch(train) [56][1440/1879] lr: 9.7647e-02 eta: 2 days, 5:20:04 time: 0.5082 data_time: 0.0268 memory: 18108 grad_norm: 2.9152 loss: 4.5838 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6059 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.9779 2023/02/01 00:09:34 - mmengine - INFO - Epoch(train) [56][1460/1879] lr: 9.7645e-02 eta: 2 days, 5:19:54 time: 0.5070 data_time: 0.0449 memory: 18108 grad_norm: 2.9189 loss: 4.7005 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6870 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 2.0135 2023/02/01 00:09:44 - mmengine - INFO - Epoch(train) [56][1480/1879] lr: 9.7642e-02 eta: 2 days, 5:19:43 time: 0.4988 data_time: 0.0291 memory: 18108 grad_norm: 3.0018 loss: 4.7881 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8278 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.9604 2023/02/01 00:09:54 - mmengine - INFO - Epoch(train) [56][1500/1879] lr: 9.7640e-02 eta: 2 days, 5:19:32 time: 0.5054 data_time: 0.0369 memory: 18108 grad_norm: 2.9412 loss: 4.9124 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8925 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.0199 2023/02/01 00:10:04 - mmengine - INFO - Epoch(train) [56][1520/1879] lr: 9.7638e-02 eta: 2 days, 5:19:21 time: 0.4955 data_time: 0.0359 memory: 18108 grad_norm: 2.9630 loss: 4.8617 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.8927 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 1.9690 2023/02/01 00:10:14 - mmengine - INFO - Epoch(train) [56][1540/1879] lr: 9.7635e-02 eta: 2 days, 5:19:10 time: 0.4997 data_time: 0.0375 memory: 18108 grad_norm: 2.8950 loss: 4.5493 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5747 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9746 2023/02/01 00:10:25 - mmengine - INFO - Epoch(train) [56][1560/1879] lr: 9.7633e-02 eta: 2 days, 5:19:00 time: 0.5221 data_time: 0.0293 memory: 18108 grad_norm: 2.9396 loss: 4.9346 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9955 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 1.9391 2023/02/01 00:10:35 - mmengine - INFO - Epoch(train) [56][1580/1879] lr: 9.7631e-02 eta: 2 days, 5:18:50 time: 0.5005 data_time: 0.0378 memory: 18108 grad_norm: 2.8885 loss: 4.7768 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7432 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.0336 2023/02/01 00:10:45 - mmengine - INFO - Epoch(train) [56][1600/1879] lr: 9.7629e-02 eta: 2 days, 5:18:39 time: 0.5036 data_time: 0.0295 memory: 18108 grad_norm: 2.9814 loss: 4.7822 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7493 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 2.0329 2023/02/01 00:10:55 - mmengine - INFO - Epoch(train) [56][1620/1879] lr: 9.7626e-02 eta: 2 days, 5:18:29 time: 0.5220 data_time: 0.0357 memory: 18108 grad_norm: 2.9033 loss: 4.6184 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6449 top1_acc_1: 0.6000 top5_acc_1: 0.7294 loss_cls_1: 1.9735 2023/02/01 00:11:06 - mmengine - INFO - Epoch(train) [56][1640/1879] lr: 9.7624e-02 eta: 2 days, 5:18:20 time: 0.5195 data_time: 0.0279 memory: 18108 grad_norm: 2.8817 loss: 4.5945 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6628 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.9317 2023/02/01 00:11:13 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 00:11:16 - mmengine - INFO - Epoch(train) [56][1660/1879] lr: 9.7622e-02 eta: 2 days, 5:18:09 time: 0.5060 data_time: 0.0357 memory: 18108 grad_norm: 2.9085 loss: 4.7056 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7080 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.9976 2023/02/01 00:11:26 - mmengine - INFO - Epoch(train) [56][1680/1879] lr: 9.7619e-02 eta: 2 days, 5:18:01 time: 0.5290 data_time: 0.0280 memory: 18108 grad_norm: 2.9249 loss: 4.8503 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8048 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0455 2023/02/01 00:11:37 - mmengine - INFO - Epoch(train) [56][1700/1879] lr: 9.7617e-02 eta: 2 days, 5:17:51 time: 0.5203 data_time: 0.0369 memory: 18108 grad_norm: 2.8833 loss: 4.4301 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4692 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9609 2023/02/01 00:11:47 - mmengine - INFO - Epoch(train) [56][1720/1879] lr: 9.7615e-02 eta: 2 days, 5:17:41 time: 0.5083 data_time: 0.0278 memory: 18108 grad_norm: 2.9070 loss: 4.8625 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8333 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 2.0292 2023/02/01 00:11:57 - mmengine - INFO - Epoch(train) [56][1740/1879] lr: 9.7612e-02 eta: 2 days, 5:17:30 time: 0.5106 data_time: 0.0418 memory: 18108 grad_norm: 2.9091 loss: 4.7468 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6484 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.0984 2023/02/01 00:12:08 - mmengine - INFO - Epoch(train) [56][1760/1879] lr: 9.7610e-02 eta: 2 days, 5:17:21 time: 0.5270 data_time: 0.0284 memory: 18108 grad_norm: 2.9176 loss: 4.6742 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.6412 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0330 2023/02/01 00:12:18 - mmengine - INFO - Epoch(train) [56][1780/1879] lr: 9.7608e-02 eta: 2 days, 5:17:12 time: 0.5220 data_time: 0.0378 memory: 18108 grad_norm: 2.9192 loss: 4.9292 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.8816 top1_acc_1: 0.4706 top5_acc_1: 0.7059 loss_cls_1: 2.0476 2023/02/01 00:12:28 - mmengine - INFO - Epoch(train) [56][1800/1879] lr: 9.7606e-02 eta: 2 days, 5:17:02 time: 0.5141 data_time: 0.0294 memory: 18108 grad_norm: 2.9752 loss: 4.5609 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.5998 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.9611 2023/02/01 00:12:39 - mmengine - INFO - Epoch(train) [56][1820/1879] lr: 9.7603e-02 eta: 2 days, 5:16:53 time: 0.5185 data_time: 0.0348 memory: 18108 grad_norm: 2.8714 loss: 4.5958 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5847 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 2.0110 2023/02/01 00:12:49 - mmengine - INFO - Epoch(train) [56][1840/1879] lr: 9.7601e-02 eta: 2 days, 5:16:43 time: 0.5187 data_time: 0.0271 memory: 18108 grad_norm: 2.9713 loss: 4.6768 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6461 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.0307 2023/02/01 00:13:00 - mmengine - INFO - Epoch(train) [56][1860/1879] lr: 9.7599e-02 eta: 2 days, 5:16:34 time: 0.5227 data_time: 0.0366 memory: 18108 grad_norm: 2.9135 loss: 4.6492 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 2.6627 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.9865 2023/02/01 00:13:09 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 00:13:09 - mmengine - INFO - Epoch(train) [56][1879/1879] lr: 9.7596e-02 eta: 2 days, 5:16:23 time: 0.4943 data_time: 0.0260 memory: 18108 grad_norm: 2.9663 loss: 4.7313 top1_acc_0: 0.2857 top5_acc_0: 0.5714 loss_cls_0: 2.7455 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.9858 2023/02/01 00:13:10 - mmengine - INFO - Saving checkpoint at 56 epochs 2023/02/01 00:13:20 - mmengine - INFO - Epoch(val) [56][ 20/155] eta: 0:01:02 time: 0.4617 data_time: 0.3482 memory: 1906 2023/02/01 00:13:29 - mmengine - INFO - Epoch(val) [56][ 40/155] eta: 0:00:51 time: 0.4358 data_time: 0.3244 memory: 1906 2023/02/01 00:13:37 - mmengine - INFO - Epoch(val) [56][ 60/155] eta: 0:00:41 time: 0.4223 data_time: 0.3111 memory: 1906 2023/02/01 00:13:47 - mmengine - INFO - Epoch(val) [56][ 80/155] eta: 0:00:33 time: 0.4599 data_time: 0.3480 memory: 1906 2023/02/01 00:13:56 - mmengine - INFO - Epoch(val) [56][100/155] eta: 0:00:24 time: 0.4453 data_time: 0.3345 memory: 1906 2023/02/01 00:14:05 - mmengine - INFO - Epoch(val) [56][120/155] eta: 0:00:15 time: 0.4543 data_time: 0.3443 memory: 1906 2023/02/01 00:14:13 - mmengine - INFO - Epoch(val) [56][140/155] eta: 0:00:06 time: 0.4334 data_time: 0.3236 memory: 1906 2023/02/01 00:14:21 - mmengine - INFO - Epoch(val) [56][155/155] acc/top1: 0.4128 acc/top5: 0.6787 acc/mean1: 0.4127 2023/02/01 00:14:36 - mmengine - INFO - Epoch(train) [57][ 20/1879] lr: 9.7594e-02 eta: 2 days, 5:16:28 time: 0.7243 data_time: 0.2582 memory: 18108 grad_norm: 2.8757 loss: 4.5823 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6341 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9483 2023/02/01 00:14:45 - mmengine - INFO - Epoch(train) [57][ 40/1879] lr: 9.7592e-02 eta: 2 days, 5:16:15 time: 0.4708 data_time: 0.0344 memory: 18108 grad_norm: 2.9123 loss: 4.5411 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5777 top1_acc_1: 0.4941 top5_acc_1: 0.6941 loss_cls_1: 1.9635 2023/02/01 00:14:55 - mmengine - INFO - Epoch(train) [57][ 60/1879] lr: 9.7590e-02 eta: 2 days, 5:16:03 time: 0.4901 data_time: 0.0352 memory: 18108 grad_norm: 2.9005 loss: 4.6037 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6780 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.9257 2023/02/01 00:15:05 - mmengine - INFO - Epoch(train) [57][ 80/1879] lr: 9.7587e-02 eta: 2 days, 5:15:53 time: 0.5124 data_time: 0.0510 memory: 18108 grad_norm: 2.9419 loss: 4.5311 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6857 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.8453 2023/02/01 00:15:15 - mmengine - INFO - Epoch(train) [57][ 100/1879] lr: 9.7585e-02 eta: 2 days, 5:15:41 time: 0.4861 data_time: 0.0361 memory: 18108 grad_norm: 2.9425 loss: 4.6518 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7158 top1_acc_1: 0.6118 top5_acc_1: 0.7294 loss_cls_1: 1.9360 2023/02/01 00:15:24 - mmengine - INFO - Epoch(train) [57][ 120/1879] lr: 9.7583e-02 eta: 2 days, 5:15:28 time: 0.4728 data_time: 0.0333 memory: 18108 grad_norm: 2.9406 loss: 4.5815 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6852 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.8963 2023/02/01 00:15:34 - mmengine - INFO - Epoch(train) [57][ 140/1879] lr: 9.7580e-02 eta: 2 days, 5:15:18 time: 0.5084 data_time: 0.0367 memory: 18108 grad_norm: 2.9327 loss: 4.7752 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8739 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9013 2023/02/01 00:15:44 - mmengine - INFO - Epoch(train) [57][ 160/1879] lr: 9.7578e-02 eta: 2 days, 5:15:07 time: 0.4933 data_time: 0.0445 memory: 18108 grad_norm: 2.9465 loss: 4.7053 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.7597 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.9456 2023/02/01 00:15:54 - mmengine - INFO - Epoch(train) [57][ 180/1879] lr: 9.7576e-02 eta: 2 days, 5:14:55 time: 0.4866 data_time: 0.0352 memory: 18108 grad_norm: 2.8786 loss: 4.7612 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8384 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.9228 2023/02/01 00:16:04 - mmengine - INFO - Epoch(train) [57][ 200/1879] lr: 9.7573e-02 eta: 2 days, 5:14:42 time: 0.4809 data_time: 0.0332 memory: 18108 grad_norm: 2.9275 loss: 4.5777 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6368 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.9409 2023/02/01 00:16:14 - mmengine - INFO - Epoch(train) [57][ 220/1879] lr: 9.7571e-02 eta: 2 days, 5:14:33 time: 0.5207 data_time: 0.0326 memory: 18108 grad_norm: 2.9980 loss: 4.6990 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7964 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.9026 2023/02/01 00:16:24 - mmengine - INFO - Epoch(train) [57][ 240/1879] lr: 9.7569e-02 eta: 2 days, 5:14:21 time: 0.4882 data_time: 0.0328 memory: 18108 grad_norm: 2.9474 loss: 4.7691 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8120 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9571 2023/02/01 00:16:34 - mmengine - INFO - Epoch(train) [57][ 260/1879] lr: 9.7566e-02 eta: 2 days, 5:14:10 time: 0.4897 data_time: 0.0334 memory: 18108 grad_norm: 2.9695 loss: 4.7389 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8030 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9359 2023/02/01 00:16:43 - mmengine - INFO - Epoch(train) [57][ 280/1879] lr: 9.7564e-02 eta: 2 days, 5:13:57 time: 0.4816 data_time: 0.0319 memory: 18108 grad_norm: 2.9282 loss: 4.5746 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.6320 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9426 2023/02/01 00:16:53 - mmengine - INFO - Epoch(train) [57][ 300/1879] lr: 9.7562e-02 eta: 2 days, 5:13:47 time: 0.5094 data_time: 0.0335 memory: 18108 grad_norm: 2.9587 loss: 4.6937 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7701 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.9236 2023/02/01 00:17:03 - mmengine - INFO - Epoch(train) [57][ 320/1879] lr: 9.7559e-02 eta: 2 days, 5:13:35 time: 0.4802 data_time: 0.0419 memory: 18108 grad_norm: 2.9472 loss: 4.6237 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6950 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9287 2023/02/01 00:17:13 - mmengine - INFO - Epoch(train) [57][ 340/1879] lr: 9.7557e-02 eta: 2 days, 5:13:24 time: 0.5020 data_time: 0.0361 memory: 18108 grad_norm: 2.8998 loss: 4.5049 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.5784 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9265 2023/02/01 00:17:23 - mmengine - INFO - Epoch(train) [57][ 360/1879] lr: 9.7555e-02 eta: 2 days, 5:13:12 time: 0.4871 data_time: 0.0329 memory: 18108 grad_norm: 3.0078 loss: 4.3232 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.4161 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.9071 2023/02/01 00:17:33 - mmengine - INFO - Epoch(train) [57][ 380/1879] lr: 9.7552e-02 eta: 2 days, 5:13:01 time: 0.5017 data_time: 0.0358 memory: 18108 grad_norm: 3.0345 loss: 4.3498 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4876 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.8623 2023/02/01 00:17:43 - mmengine - INFO - Epoch(train) [57][ 400/1879] lr: 9.7550e-02 eta: 2 days, 5:12:49 time: 0.4890 data_time: 0.0332 memory: 18108 grad_norm: 3.0221 loss: 4.5403 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6895 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.8508 2023/02/01 00:17:53 - mmengine - INFO - Epoch(train) [57][ 420/1879] lr: 9.7548e-02 eta: 2 days, 5:12:39 time: 0.5022 data_time: 0.0355 memory: 18108 grad_norm: 2.9524 loss: 4.7389 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8038 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.9351 2023/02/01 00:18:03 - mmengine - INFO - Epoch(train) [57][ 440/1879] lr: 9.7545e-02 eta: 2 days, 5:12:27 time: 0.4904 data_time: 0.0327 memory: 18108 grad_norm: 2.9272 loss: 4.7539 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8286 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.9253 2023/02/01 00:18:12 - mmengine - INFO - Epoch(train) [57][ 460/1879] lr: 9.7543e-02 eta: 2 days, 5:12:15 time: 0.4889 data_time: 0.0353 memory: 18108 grad_norm: 2.9636 loss: 4.4850 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5482 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.9368 2023/02/01 00:18:22 - mmengine - INFO - Epoch(train) [57][ 480/1879] lr: 9.7541e-02 eta: 2 days, 5:12:04 time: 0.4892 data_time: 0.0388 memory: 18108 grad_norm: 2.9547 loss: 4.4038 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5423 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.8615 2023/02/01 00:18:32 - mmengine - INFO - Epoch(train) [57][ 500/1879] lr: 9.7538e-02 eta: 2 days, 5:11:52 time: 0.4945 data_time: 0.0351 memory: 18108 grad_norm: 2.9458 loss: 4.6233 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.6386 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9847 2023/02/01 00:18:42 - mmengine - INFO - Epoch(train) [57][ 520/1879] lr: 9.7536e-02 eta: 2 days, 5:11:41 time: 0.4941 data_time: 0.0315 memory: 18108 grad_norm: 2.8843 loss: 4.4008 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4815 top1_acc_1: 0.4353 top5_acc_1: 0.6941 loss_cls_1: 1.9192 2023/02/01 00:18:52 - mmengine - INFO - Epoch(train) [57][ 540/1879] lr: 9.7534e-02 eta: 2 days, 5:11:30 time: 0.4970 data_time: 0.0346 memory: 18108 grad_norm: 2.9442 loss: 4.6706 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.6790 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 1.9916 2023/02/01 00:19:02 - mmengine - INFO - Epoch(train) [57][ 560/1879] lr: 9.7531e-02 eta: 2 days, 5:11:18 time: 0.4853 data_time: 0.0399 memory: 18108 grad_norm: 2.9240 loss: 4.5263 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5553 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.9710 2023/02/01 00:19:12 - mmengine - INFO - Epoch(train) [57][ 580/1879] lr: 9.7529e-02 eta: 2 days, 5:11:07 time: 0.4974 data_time: 0.0346 memory: 18108 grad_norm: 2.9671 loss: 4.6279 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7139 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.9140 2023/02/01 00:19:21 - mmengine - INFO - Epoch(train) [57][ 600/1879] lr: 9.7527e-02 eta: 2 days, 5:10:55 time: 0.4924 data_time: 0.0328 memory: 18108 grad_norm: 2.9414 loss: 4.7206 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6913 top1_acc_1: 0.4706 top5_acc_1: 0.6824 loss_cls_1: 2.0293 2023/02/01 00:19:31 - mmengine - INFO - Epoch(train) [57][ 620/1879] lr: 9.7524e-02 eta: 2 days, 5:10:44 time: 0.4925 data_time: 0.0350 memory: 18108 grad_norm: 2.9458 loss: 4.6954 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7615 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.9339 2023/02/01 00:19:41 - mmengine - INFO - Epoch(train) [57][ 640/1879] lr: 9.7522e-02 eta: 2 days, 5:10:32 time: 0.4911 data_time: 0.0393 memory: 18108 grad_norm: 2.9663 loss: 4.7605 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7597 top1_acc_1: 0.4118 top5_acc_1: 0.6824 loss_cls_1: 2.0008 2023/02/01 00:19:51 - mmengine - INFO - Epoch(train) [57][ 660/1879] lr: 9.7520e-02 eta: 2 days, 5:10:21 time: 0.5026 data_time: 0.0343 memory: 18108 grad_norm: 2.8990 loss: 4.7797 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.8152 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9645 2023/02/01 00:20:01 - mmengine - INFO - Epoch(train) [57][ 680/1879] lr: 9.7517e-02 eta: 2 days, 5:10:10 time: 0.4920 data_time: 0.0341 memory: 18108 grad_norm: 2.9425 loss: 4.5689 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6232 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.9457 2023/02/01 00:20:11 - mmengine - INFO - Epoch(train) [57][ 700/1879] lr: 9.7515e-02 eta: 2 days, 5:09:59 time: 0.5066 data_time: 0.0339 memory: 18108 grad_norm: 2.9629 loss: 4.6221 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6610 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.9611 2023/02/01 00:20:21 - mmengine - INFO - Epoch(train) [57][ 720/1879] lr: 9.7513e-02 eta: 2 days, 5:09:49 time: 0.5027 data_time: 0.0429 memory: 18108 grad_norm: 2.9507 loss: 4.8658 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8748 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9911 2023/02/01 00:20:32 - mmengine - INFO - Epoch(train) [57][ 740/1879] lr: 9.7510e-02 eta: 2 days, 5:09:40 time: 0.5316 data_time: 0.0323 memory: 18108 grad_norm: 2.9350 loss: 4.5520 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5989 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.9531 2023/02/01 00:20:42 - mmengine - INFO - Epoch(train) [57][ 760/1879] lr: 9.7508e-02 eta: 2 days, 5:09:30 time: 0.5086 data_time: 0.0331 memory: 18108 grad_norm: 2.9828 loss: 4.7269 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7846 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.9423 2023/02/01 00:20:50 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 00:20:52 - mmengine - INFO - Epoch(train) [57][ 780/1879] lr: 9.7506e-02 eta: 2 days, 5:09:20 time: 0.5169 data_time: 0.0342 memory: 18108 grad_norm: 2.9117 loss: 4.5249 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6144 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.9104 2023/02/01 00:21:03 - mmengine - INFO - Epoch(train) [57][ 800/1879] lr: 9.7503e-02 eta: 2 days, 5:09:10 time: 0.5178 data_time: 0.0376 memory: 18108 grad_norm: 2.9490 loss: 4.6157 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7306 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.8851 2023/02/01 00:21:13 - mmengine - INFO - Epoch(train) [57][ 820/1879] lr: 9.7501e-02 eta: 2 days, 5:09:01 time: 0.5187 data_time: 0.0333 memory: 18108 grad_norm: 2.9310 loss: 4.6122 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6630 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.9492 2023/02/01 00:21:23 - mmengine - INFO - Epoch(train) [57][ 840/1879] lr: 9.7499e-02 eta: 2 days, 5:08:51 time: 0.5112 data_time: 0.0319 memory: 18108 grad_norm: 2.9518 loss: 4.9408 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9338 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 2.0070 2023/02/01 00:21:34 - mmengine - INFO - Epoch(train) [57][ 860/1879] lr: 9.7496e-02 eta: 2 days, 5:08:41 time: 0.5160 data_time: 0.0347 memory: 18108 grad_norm: 2.9518 loss: 4.5306 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6062 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9244 2023/02/01 00:21:44 - mmengine - INFO - Epoch(train) [57][ 880/1879] lr: 9.7494e-02 eta: 2 days, 5:08:31 time: 0.5146 data_time: 0.0302 memory: 18108 grad_norm: 2.9019 loss: 4.5318 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5859 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 1.9460 2023/02/01 00:21:54 - mmengine - INFO - Epoch(train) [57][ 900/1879] lr: 9.7492e-02 eta: 2 days, 5:08:21 time: 0.5109 data_time: 0.0341 memory: 18108 grad_norm: 2.9236 loss: 4.6993 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8275 top1_acc_1: 0.6118 top5_acc_1: 0.7294 loss_cls_1: 1.8718 2023/02/01 00:22:04 - mmengine - INFO - Epoch(train) [57][ 920/1879] lr: 9.7489e-02 eta: 2 days, 5:08:10 time: 0.4979 data_time: 0.0335 memory: 18108 grad_norm: 2.9217 loss: 4.6898 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7869 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.9029 2023/02/01 00:22:15 - mmengine - INFO - Epoch(train) [57][ 940/1879] lr: 9.7487e-02 eta: 2 days, 5:08:00 time: 0.5222 data_time: 0.0409 memory: 18108 grad_norm: 3.1110 loss: 4.6579 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6525 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0054 2023/02/01 00:22:25 - mmengine - INFO - Epoch(train) [57][ 960/1879] lr: 9.7485e-02 eta: 2 days, 5:07:51 time: 0.5199 data_time: 0.0320 memory: 18108 grad_norm: 3.0381 loss: 4.8540 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8367 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 2.0173 2023/02/01 00:22:35 - mmengine - INFO - Epoch(train) [57][ 980/1879] lr: 9.7482e-02 eta: 2 days, 5:07:40 time: 0.4965 data_time: 0.0342 memory: 18108 grad_norm: 2.9761 loss: 4.9896 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9486 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 2.0409 2023/02/01 00:22:45 - mmengine - INFO - Epoch(train) [57][1000/1879] lr: 9.7480e-02 eta: 2 days, 5:07:29 time: 0.5079 data_time: 0.0319 memory: 18108 grad_norm: 2.9431 loss: 4.6567 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7183 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.9384 2023/02/01 00:22:55 - mmengine - INFO - Epoch(train) [57][1020/1879] lr: 9.7477e-02 eta: 2 days, 5:07:19 time: 0.5139 data_time: 0.0398 memory: 18108 grad_norm: 2.9601 loss: 4.5086 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6013 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 1.9074 2023/02/01 00:23:06 - mmengine - INFO - Epoch(train) [57][1040/1879] lr: 9.7475e-02 eta: 2 days, 5:07:10 time: 0.5169 data_time: 0.0311 memory: 18108 grad_norm: 2.9651 loss: 4.5298 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6602 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8696 2023/02/01 00:23:16 - mmengine - INFO - Epoch(train) [57][1060/1879] lr: 9.7473e-02 eta: 2 days, 5:06:59 time: 0.5095 data_time: 0.0333 memory: 18108 grad_norm: 2.9703 loss: 4.6979 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7700 top1_acc_1: 0.5176 top5_acc_1: 0.8471 loss_cls_1: 1.9279 2023/02/01 00:23:26 - mmengine - INFO - Epoch(train) [57][1080/1879] lr: 9.7470e-02 eta: 2 days, 5:06:49 time: 0.5074 data_time: 0.0327 memory: 18108 grad_norm: 2.9208 loss: 4.6290 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.7130 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.9160 2023/02/01 00:23:37 - mmengine - INFO - Epoch(train) [57][1100/1879] lr: 9.7468e-02 eta: 2 days, 5:06:39 time: 0.5201 data_time: 0.0388 memory: 18108 grad_norm: 2.9587 loss: 4.6130 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.5960 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 2.0170 2023/02/01 00:23:47 - mmengine - INFO - Epoch(train) [57][1120/1879] lr: 9.7466e-02 eta: 2 days, 5:06:30 time: 0.5277 data_time: 0.0308 memory: 18108 grad_norm: 2.9439 loss: 4.7527 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7607 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.9920 2023/02/01 00:23:57 - mmengine - INFO - Epoch(train) [57][1140/1879] lr: 9.7463e-02 eta: 2 days, 5:06:20 time: 0.5138 data_time: 0.0349 memory: 18108 grad_norm: 2.8663 loss: 4.6496 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7237 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9259 2023/02/01 00:24:08 - mmengine - INFO - Epoch(train) [57][1160/1879] lr: 9.7461e-02 eta: 2 days, 5:06:12 time: 0.5303 data_time: 0.0313 memory: 18108 grad_norm: 3.0007 loss: 4.4614 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5926 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.8688 2023/02/01 00:24:19 - mmengine - INFO - Epoch(train) [57][1180/1879] lr: 9.7458e-02 eta: 2 days, 5:06:02 time: 0.5255 data_time: 0.0429 memory: 18108 grad_norm: 2.9509 loss: 4.6294 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6324 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.9970 2023/02/01 00:24:29 - mmengine - INFO - Epoch(train) [57][1200/1879] lr: 9.7456e-02 eta: 2 days, 5:05:54 time: 0.5316 data_time: 0.0325 memory: 18108 grad_norm: 2.8891 loss: 4.5379 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.5639 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9739 2023/02/01 00:24:40 - mmengine - INFO - Epoch(train) [57][1220/1879] lr: 9.7454e-02 eta: 2 days, 5:05:44 time: 0.5209 data_time: 0.0347 memory: 18108 grad_norm: 2.9365 loss: 4.6658 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6330 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 2.0327 2023/02/01 00:24:50 - mmengine - INFO - Epoch(train) [57][1240/1879] lr: 9.7451e-02 eta: 2 days, 5:05:35 time: 0.5260 data_time: 0.0307 memory: 18108 grad_norm: 2.9213 loss: 4.5347 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6739 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.8608 2023/02/01 00:25:01 - mmengine - INFO - Epoch(train) [57][1260/1879] lr: 9.7449e-02 eta: 2 days, 5:05:26 time: 0.5300 data_time: 0.0320 memory: 18108 grad_norm: 2.9591 loss: 4.9508 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8623 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 2.0885 2023/02/01 00:25:12 - mmengine - INFO - Epoch(train) [57][1280/1879] lr: 9.7447e-02 eta: 2 days, 5:05:18 time: 0.5406 data_time: 0.0309 memory: 18108 grad_norm: 2.9444 loss: 4.7064 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7235 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9829 2023/02/01 00:25:22 - mmengine - INFO - Epoch(train) [57][1300/1879] lr: 9.7444e-02 eta: 2 days, 5:05:09 time: 0.5210 data_time: 0.0326 memory: 18108 grad_norm: 2.9453 loss: 4.5913 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6472 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9441 2023/02/01 00:25:33 - mmengine - INFO - Epoch(train) [57][1320/1879] lr: 9.7442e-02 eta: 2 days, 5:05:00 time: 0.5348 data_time: 0.0385 memory: 18108 grad_norm: 2.9685 loss: 4.4928 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6051 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 1.8877 2023/02/01 00:25:43 - mmengine - INFO - Epoch(train) [57][1340/1879] lr: 9.7439e-02 eta: 2 days, 5:04:51 time: 0.5203 data_time: 0.0333 memory: 18108 grad_norm: 2.9110 loss: 4.5042 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.5605 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.9437 2023/02/01 00:25:54 - mmengine - INFO - Epoch(train) [57][1360/1879] lr: 9.7437e-02 eta: 2 days, 5:04:43 time: 0.5426 data_time: 0.0309 memory: 18108 grad_norm: 3.0090 loss: 4.6264 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6882 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.9382 2023/02/01 00:26:04 - mmengine - INFO - Epoch(train) [57][1380/1879] lr: 9.7435e-02 eta: 2 days, 5:04:34 time: 0.5225 data_time: 0.0347 memory: 18108 grad_norm: 2.9278 loss: 4.5390 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6630 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8760 2023/02/01 00:26:15 - mmengine - INFO - Epoch(train) [57][1400/1879] lr: 9.7432e-02 eta: 2 days, 5:04:25 time: 0.5400 data_time: 0.0323 memory: 18108 grad_norm: 2.9367 loss: 4.8322 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7194 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 2.1128 2023/02/01 00:26:26 - mmengine - INFO - Epoch(train) [57][1420/1879] lr: 9.7430e-02 eta: 2 days, 5:04:18 time: 0.5490 data_time: 0.0323 memory: 18108 grad_norm: 2.9296 loss: 4.6657 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.7664 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.8993 2023/02/01 00:26:37 - mmengine - INFO - Epoch(train) [57][1440/1879] lr: 9.7428e-02 eta: 2 days, 5:04:10 time: 0.5383 data_time: 0.0320 memory: 18108 grad_norm: 2.8659 loss: 4.5407 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6238 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.9168 2023/02/01 00:26:47 - mmengine - INFO - Epoch(train) [57][1460/1879] lr: 9.7425e-02 eta: 2 days, 5:04:01 time: 0.5259 data_time: 0.0329 memory: 18108 grad_norm: 2.9439 loss: 4.5275 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6707 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.8568 2023/02/01 00:26:58 - mmengine - INFO - Epoch(train) [57][1480/1879] lr: 9.7423e-02 eta: 2 days, 5:03:53 time: 0.5467 data_time: 0.0303 memory: 18108 grad_norm: 2.9527 loss: 4.8117 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.8905 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.9213 2023/02/01 00:27:09 - mmengine - INFO - Epoch(train) [57][1500/1879] lr: 9.7420e-02 eta: 2 days, 5:03:44 time: 0.5213 data_time: 0.0340 memory: 18108 grad_norm: 2.9585 loss: 4.4993 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4623 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 2.0370 2023/02/01 00:27:20 - mmengine - INFO - Epoch(train) [57][1520/1879] lr: 9.7418e-02 eta: 2 days, 5:03:35 time: 0.5378 data_time: 0.0317 memory: 18108 grad_norm: 2.9337 loss: 4.7279 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.7626 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.9652 2023/02/01 00:27:30 - mmengine - INFO - Epoch(train) [57][1540/1879] lr: 9.7416e-02 eta: 2 days, 5:03:27 time: 0.5357 data_time: 0.0390 memory: 18108 grad_norm: 2.9208 loss: 4.6358 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.7349 top1_acc_1: 0.4471 top5_acc_1: 0.7176 loss_cls_1: 1.9009 2023/02/01 00:27:41 - mmengine - INFO - Epoch(train) [57][1560/1879] lr: 9.7413e-02 eta: 2 days, 5:03:19 time: 0.5401 data_time: 0.0327 memory: 18108 grad_norm: 2.9132 loss: 4.7001 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8045 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.8956 2023/02/01 00:27:52 - mmengine - INFO - Epoch(train) [57][1580/1879] lr: 9.7411e-02 eta: 2 days, 5:03:09 time: 0.5175 data_time: 0.0319 memory: 18108 grad_norm: 2.8726 loss: 4.7613 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7919 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.9694 2023/02/01 00:28:02 - mmengine - INFO - Epoch(train) [57][1600/1879] lr: 9.7408e-02 eta: 2 days, 5:03:01 time: 0.5382 data_time: 0.0316 memory: 18108 grad_norm: 2.9620 loss: 4.7520 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8590 top1_acc_1: 0.5647 top5_acc_1: 0.7176 loss_cls_1: 1.8930 2023/02/01 00:28:13 - mmengine - INFO - Epoch(train) [57][1620/1879] lr: 9.7406e-02 eta: 2 days, 5:02:51 time: 0.5169 data_time: 0.0414 memory: 18108 grad_norm: 2.9275 loss: 4.6744 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6492 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 2.0252 2023/02/01 00:28:23 - mmengine - INFO - Epoch(train) [57][1640/1879] lr: 9.7404e-02 eta: 2 days, 5:02:41 time: 0.5198 data_time: 0.0310 memory: 18108 grad_norm: 2.9116 loss: 4.5887 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6326 top1_acc_1: 0.5059 top5_acc_1: 0.8588 loss_cls_1: 1.9561 2023/02/01 00:28:34 - mmengine - INFO - Epoch(train) [57][1660/1879] lr: 9.7401e-02 eta: 2 days, 5:02:33 time: 0.5303 data_time: 0.0322 memory: 18108 grad_norm: 2.8968 loss: 4.8795 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8209 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.0586 2023/02/01 00:28:44 - mmengine - INFO - Epoch(train) [57][1680/1879] lr: 9.7399e-02 eta: 2 days, 5:02:24 time: 0.5310 data_time: 0.0460 memory: 18108 grad_norm: 2.8962 loss: 4.5468 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7588 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7880 2023/02/01 00:28:55 - mmengine - INFO - Epoch(train) [57][1700/1879] lr: 9.7396e-02 eta: 2 days, 5:02:14 time: 0.5201 data_time: 0.0340 memory: 18108 grad_norm: 2.9162 loss: 4.7601 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8165 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.9436 2023/02/01 00:29:05 - mmengine - INFO - Epoch(train) [57][1720/1879] lr: 9.7394e-02 eta: 2 days, 5:02:05 time: 0.5247 data_time: 0.0309 memory: 18108 grad_norm: 2.9209 loss: 4.9483 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9978 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.9505 2023/02/01 00:29:15 - mmengine - INFO - Epoch(train) [57][1740/1879] lr: 9.7392e-02 eta: 2 days, 5:01:55 time: 0.5138 data_time: 0.0334 memory: 18108 grad_norm: 2.9688 loss: 4.6534 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7021 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.9513 2023/02/01 00:29:26 - mmengine - INFO - Epoch(train) [57][1760/1879] lr: 9.7389e-02 eta: 2 days, 5:01:46 time: 0.5268 data_time: 0.0385 memory: 18108 grad_norm: 2.9348 loss: 4.8538 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.8368 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 2.0169 2023/02/01 00:29:34 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 00:29:36 - mmengine - INFO - Epoch(train) [57][1780/1879] lr: 9.7387e-02 eta: 2 days, 5:01:35 time: 0.4947 data_time: 0.0343 memory: 18108 grad_norm: 2.8996 loss: 4.6126 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6875 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.9251 2023/02/01 00:29:47 - mmengine - INFO - Epoch(train) [57][1800/1879] lr: 9.7384e-02 eta: 2 days, 5:01:26 time: 0.5306 data_time: 0.0308 memory: 18108 grad_norm: 2.9067 loss: 4.7781 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8082 top1_acc_1: 0.4588 top5_acc_1: 0.6941 loss_cls_1: 1.9700 2023/02/01 00:29:57 - mmengine - INFO - Epoch(train) [57][1820/1879] lr: 9.7382e-02 eta: 2 days, 5:01:15 time: 0.5057 data_time: 0.0360 memory: 18108 grad_norm: 2.9473 loss: 4.6095 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5832 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 2.0263 2023/02/01 00:30:07 - mmengine - INFO - Epoch(train) [57][1840/1879] lr: 9.7380e-02 eta: 2 days, 5:01:06 time: 0.5257 data_time: 0.0376 memory: 18108 grad_norm: 2.8996 loss: 4.6547 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6392 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0155 2023/02/01 00:30:18 - mmengine - INFO - Epoch(train) [57][1860/1879] lr: 9.7377e-02 eta: 2 days, 5:00:57 time: 0.5170 data_time: 0.0348 memory: 18108 grad_norm: 2.9215 loss: 4.8948 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.8875 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.0073 2023/02/01 00:30:27 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 00:30:27 - mmengine - INFO - Epoch(train) [57][1879/1879] lr: 9.7375e-02 eta: 2 days, 5:00:46 time: 0.5028 data_time: 0.0269 memory: 18108 grad_norm: 2.9881 loss: 4.6934 top1_acc_0: 0.1429 top5_acc_0: 0.5714 loss_cls_0: 2.7303 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9631 2023/02/01 00:30:42 - mmengine - INFO - Epoch(train) [58][ 20/1879] lr: 9.7373e-02 eta: 2 days, 5:00:50 time: 0.7133 data_time: 0.2549 memory: 18108 grad_norm: 2.9285 loss: 4.5589 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6390 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 1.9199 2023/02/01 00:30:52 - mmengine - INFO - Epoch(train) [58][ 40/1879] lr: 9.7370e-02 eta: 2 days, 5:00:37 time: 0.4780 data_time: 0.0326 memory: 18108 grad_norm: 2.8627 loss: 4.6384 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6763 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.9621 2023/02/01 00:31:01 - mmengine - INFO - Epoch(train) [58][ 60/1879] lr: 9.7368e-02 eta: 2 days, 5:00:25 time: 0.4839 data_time: 0.0359 memory: 18108 grad_norm: 2.9590 loss: 4.4614 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.5349 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9265 2023/02/01 00:31:12 - mmengine - INFO - Epoch(train) [58][ 80/1879] lr: 9.7365e-02 eta: 2 days, 5:00:17 time: 0.5352 data_time: 0.0393 memory: 18108 grad_norm: 2.9440 loss: 4.6342 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8090 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8252 2023/02/01 00:31:22 - mmengine - INFO - Epoch(train) [58][ 100/1879] lr: 9.7363e-02 eta: 2 days, 5:00:05 time: 0.4874 data_time: 0.0363 memory: 18108 grad_norm: 2.9230 loss: 4.4011 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.5423 top1_acc_1: 0.5529 top5_acc_1: 0.8824 loss_cls_1: 1.8588 2023/02/01 00:31:31 - mmengine - INFO - Epoch(train) [58][ 120/1879] lr: 9.7361e-02 eta: 2 days, 4:59:53 time: 0.4869 data_time: 0.0346 memory: 18108 grad_norm: 2.8819 loss: 4.7083 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7995 top1_acc_1: 0.5059 top5_acc_1: 0.8235 loss_cls_1: 1.9088 2023/02/01 00:31:42 - mmengine - INFO - Epoch(train) [58][ 140/1879] lr: 9.7358e-02 eta: 2 days, 4:59:43 time: 0.5087 data_time: 0.0424 memory: 18108 grad_norm: 2.9794 loss: 4.5743 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6807 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.8937 2023/02/01 00:31:52 - mmengine - INFO - Epoch(train) [58][ 160/1879] lr: 9.7356e-02 eta: 2 days, 4:59:33 time: 0.5148 data_time: 0.0314 memory: 18108 grad_norm: 2.9720 loss: 4.6453 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6993 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.9460 2023/02/01 00:32:02 - mmengine - INFO - Epoch(train) [58][ 180/1879] lr: 9.7353e-02 eta: 2 days, 4:59:22 time: 0.4947 data_time: 0.0331 memory: 18108 grad_norm: 2.9681 loss: 4.6432 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 2.7096 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.9336 2023/02/01 00:32:12 - mmengine - INFO - Epoch(train) [58][ 200/1879] lr: 9.7351e-02 eta: 2 days, 4:59:12 time: 0.5147 data_time: 0.0334 memory: 18108 grad_norm: 2.9226 loss: 4.8601 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.8667 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9934 2023/02/01 00:32:22 - mmengine - INFO - Epoch(train) [58][ 220/1879] lr: 9.7348e-02 eta: 2 days, 4:59:02 time: 0.5152 data_time: 0.0416 memory: 18108 grad_norm: 2.9882 loss: 4.4960 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5761 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.9199 2023/02/01 00:32:32 - mmengine - INFO - Epoch(train) [58][ 240/1879] lr: 9.7346e-02 eta: 2 days, 4:58:51 time: 0.4964 data_time: 0.0335 memory: 18108 grad_norm: 2.9861 loss: 4.5963 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.7157 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8807 2023/02/01 00:32:42 - mmengine - INFO - Epoch(train) [58][ 260/1879] lr: 9.7344e-02 eta: 2 days, 4:58:40 time: 0.4950 data_time: 0.0372 memory: 18108 grad_norm: 2.9541 loss: 4.6657 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6763 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.9894 2023/02/01 00:32:53 - mmengine - INFO - Epoch(train) [58][ 280/1879] lr: 9.7341e-02 eta: 2 days, 4:58:30 time: 0.5141 data_time: 0.0342 memory: 18108 grad_norm: 2.8933 loss: 4.7112 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.7462 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.9650 2023/02/01 00:33:03 - mmengine - INFO - Epoch(train) [58][ 300/1879] lr: 9.7339e-02 eta: 2 days, 4:58:20 time: 0.5210 data_time: 0.0408 memory: 18108 grad_norm: 2.9131 loss: 4.5474 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 2.5354 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 2.0120 2023/02/01 00:33:13 - mmengine - INFO - Epoch(train) [58][ 320/1879] lr: 9.7336e-02 eta: 2 days, 4:58:10 time: 0.5075 data_time: 0.0325 memory: 18108 grad_norm: 2.9176 loss: 4.6356 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5984 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 2.0372 2023/02/01 00:33:23 - mmengine - INFO - Epoch(train) [58][ 340/1879] lr: 9.7334e-02 eta: 2 days, 4:58:00 time: 0.5112 data_time: 0.0324 memory: 18108 grad_norm: 2.9653 loss: 4.7291 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.8432 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8860 2023/02/01 00:33:34 - mmengine - INFO - Epoch(train) [58][ 360/1879] lr: 9.7331e-02 eta: 2 days, 4:57:50 time: 0.5266 data_time: 0.0318 memory: 18108 grad_norm: 3.0189 loss: 4.6717 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7175 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9541 2023/02/01 00:33:44 - mmengine - INFO - Epoch(train) [58][ 380/1879] lr: 9.7329e-02 eta: 2 days, 4:57:40 time: 0.5057 data_time: 0.0405 memory: 18108 grad_norm: 2.9441 loss: 4.4817 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6164 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8653 2023/02/01 00:33:54 - mmengine - INFO - Epoch(train) [58][ 400/1879] lr: 9.7327e-02 eta: 2 days, 4:57:30 time: 0.5084 data_time: 0.0322 memory: 18108 grad_norm: 2.9611 loss: 4.6967 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7636 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.9332 2023/02/01 00:34:05 - mmengine - INFO - Epoch(train) [58][ 420/1879] lr: 9.7324e-02 eta: 2 days, 4:57:20 time: 0.5127 data_time: 0.0334 memory: 18108 grad_norm: 2.9413 loss: 4.6030 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6060 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.9970 2023/02/01 00:34:15 - mmengine - INFO - Epoch(train) [58][ 440/1879] lr: 9.7322e-02 eta: 2 days, 4:57:09 time: 0.5114 data_time: 0.0327 memory: 18108 grad_norm: 2.9507 loss: 4.6610 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7320 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.9290 2023/02/01 00:34:25 - mmengine - INFO - Epoch(train) [58][ 460/1879] lr: 9.7319e-02 eta: 2 days, 4:56:59 time: 0.5121 data_time: 0.0361 memory: 18108 grad_norm: 2.9807 loss: 4.5090 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5945 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9145 2023/02/01 00:34:36 - mmengine - INFO - Epoch(train) [58][ 480/1879] lr: 9.7317e-02 eta: 2 days, 4:56:50 time: 0.5292 data_time: 0.0338 memory: 18108 grad_norm: 2.9411 loss: 4.6946 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6984 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.9962 2023/02/01 00:34:46 - mmengine - INFO - Epoch(train) [58][ 500/1879] lr: 9.7314e-02 eta: 2 days, 4:56:40 time: 0.5027 data_time: 0.0346 memory: 18108 grad_norm: 2.9397 loss: 4.7957 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8154 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.9804 2023/02/01 00:34:56 - mmengine - INFO - Epoch(train) [58][ 520/1879] lr: 9.7312e-02 eta: 2 days, 4:56:29 time: 0.5033 data_time: 0.0345 memory: 18108 grad_norm: 2.9256 loss: 4.4974 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6009 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.8965 2023/02/01 00:35:06 - mmengine - INFO - Epoch(train) [58][ 540/1879] lr: 9.7310e-02 eta: 2 days, 4:56:18 time: 0.4973 data_time: 0.0423 memory: 18108 grad_norm: 2.9507 loss: 4.3501 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3442 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.0059 2023/02/01 00:35:16 - mmengine - INFO - Epoch(train) [58][ 560/1879] lr: 9.7307e-02 eta: 2 days, 4:56:08 time: 0.5172 data_time: 0.0331 memory: 18108 grad_norm: 2.8921 loss: 4.7839 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.8024 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9815 2023/02/01 00:35:26 - mmengine - INFO - Epoch(train) [58][ 580/1879] lr: 9.7305e-02 eta: 2 days, 4:55:57 time: 0.5038 data_time: 0.0337 memory: 18108 grad_norm: 2.8822 loss: 4.5546 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.5422 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 2.0124 2023/02/01 00:35:36 - mmengine - INFO - Epoch(train) [58][ 600/1879] lr: 9.7302e-02 eta: 2 days, 4:55:46 time: 0.4912 data_time: 0.0335 memory: 18108 grad_norm: 2.9253 loss: 4.6902 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6808 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0094 2023/02/01 00:35:46 - mmengine - INFO - Epoch(train) [58][ 620/1879] lr: 9.7300e-02 eta: 2 days, 4:55:36 time: 0.5138 data_time: 0.0433 memory: 18108 grad_norm: 3.0230 loss: 4.6862 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.7705 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 1.9157 2023/02/01 00:35:56 - mmengine - INFO - Epoch(train) [58][ 640/1879] lr: 9.7297e-02 eta: 2 days, 4:55:25 time: 0.4942 data_time: 0.0314 memory: 18108 grad_norm: 2.9507 loss: 4.7431 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7177 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 2.0254 2023/02/01 00:36:06 - mmengine - INFO - Epoch(train) [58][ 660/1879] lr: 9.7295e-02 eta: 2 days, 4:55:13 time: 0.4974 data_time: 0.0362 memory: 18108 grad_norm: 2.9210 loss: 4.7103 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7157 top1_acc_1: 0.4588 top5_acc_1: 0.6941 loss_cls_1: 1.9947 2023/02/01 00:36:16 - mmengine - INFO - Epoch(train) [58][ 680/1879] lr: 9.7292e-02 eta: 2 days, 4:55:02 time: 0.4995 data_time: 0.0321 memory: 18108 grad_norm: 2.9677 loss: 4.5367 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6131 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.9236 2023/02/01 00:36:26 - mmengine - INFO - Epoch(train) [58][ 700/1879] lr: 9.7290e-02 eta: 2 days, 4:54:52 time: 0.5045 data_time: 0.0364 memory: 18108 grad_norm: 2.9674 loss: 4.7368 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7186 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 2.0182 2023/02/01 00:36:36 - mmengine - INFO - Epoch(train) [58][ 720/1879] lr: 9.7288e-02 eta: 2 days, 4:54:41 time: 0.4985 data_time: 0.0318 memory: 18108 grad_norm: 2.9640 loss: 4.5947 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6505 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.9441 2023/02/01 00:36:46 - mmengine - INFO - Epoch(train) [58][ 740/1879] lr: 9.7285e-02 eta: 2 days, 4:54:30 time: 0.5009 data_time: 0.0368 memory: 18108 grad_norm: 2.9548 loss: 4.6300 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.7001 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9299 2023/02/01 00:36:56 - mmengine - INFO - Epoch(train) [58][ 760/1879] lr: 9.7283e-02 eta: 2 days, 4:54:20 time: 0.5147 data_time: 0.0384 memory: 18108 grad_norm: 2.9542 loss: 4.7676 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6982 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 2.0694 2023/02/01 00:37:07 - mmengine - INFO - Epoch(train) [58][ 780/1879] lr: 9.7280e-02 eta: 2 days, 4:54:09 time: 0.5005 data_time: 0.0367 memory: 18108 grad_norm: 2.9555 loss: 4.7608 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7652 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9956 2023/02/01 00:37:17 - mmengine - INFO - Epoch(train) [58][ 800/1879] lr: 9.7278e-02 eta: 2 days, 4:53:59 time: 0.5046 data_time: 0.0303 memory: 18108 grad_norm: 2.9773 loss: 4.5725 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6042 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.9683 2023/02/01 00:37:27 - mmengine - INFO - Epoch(train) [58][ 820/1879] lr: 9.7275e-02 eta: 2 days, 4:53:48 time: 0.5066 data_time: 0.0343 memory: 18108 grad_norm: 2.9778 loss: 4.7909 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8334 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.9575 2023/02/01 00:37:37 - mmengine - INFO - Epoch(train) [58][ 840/1879] lr: 9.7273e-02 eta: 2 days, 4:53:37 time: 0.4995 data_time: 0.0403 memory: 18108 grad_norm: 2.9324 loss: 4.6247 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6231 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0016 2023/02/01 00:37:47 - mmengine - INFO - Epoch(train) [58][ 860/1879] lr: 9.7270e-02 eta: 2 days, 4:53:27 time: 0.5144 data_time: 0.0356 memory: 18108 grad_norm: 2.8849 loss: 4.7108 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7909 top1_acc_1: 0.4824 top5_acc_1: 0.6941 loss_cls_1: 1.9198 2023/02/01 00:37:57 - mmengine - INFO - Epoch(train) [58][ 880/1879] lr: 9.7268e-02 eta: 2 days, 4:53:16 time: 0.4928 data_time: 0.0331 memory: 18108 grad_norm: 2.8919 loss: 4.4768 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.5217 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9552 2023/02/01 00:38:06 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 00:38:07 - mmengine - INFO - Epoch(train) [58][ 900/1879] lr: 9.7266e-02 eta: 2 days, 4:53:06 time: 0.5144 data_time: 0.0425 memory: 18108 grad_norm: 2.9237 loss: 4.6597 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6313 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.0284 2023/02/01 00:38:17 - mmengine - INFO - Epoch(train) [58][ 920/1879] lr: 9.7263e-02 eta: 2 days, 4:52:55 time: 0.5056 data_time: 0.0338 memory: 18108 grad_norm: 2.9977 loss: 4.6832 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7237 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 1.9595 2023/02/01 00:38:28 - mmengine - INFO - Epoch(train) [58][ 940/1879] lr: 9.7261e-02 eta: 2 days, 4:52:45 time: 0.5124 data_time: 0.0345 memory: 18108 grad_norm: 2.9510 loss: 4.7274 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7668 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.9607 2023/02/01 00:38:38 - mmengine - INFO - Epoch(train) [58][ 960/1879] lr: 9.7258e-02 eta: 2 days, 4:52:34 time: 0.4973 data_time: 0.0333 memory: 18108 grad_norm: 2.9844 loss: 4.6741 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7023 top1_acc_1: 0.5529 top5_acc_1: 0.8706 loss_cls_1: 1.9719 2023/02/01 00:38:48 - mmengine - INFO - Epoch(train) [58][ 980/1879] lr: 9.7256e-02 eta: 2 days, 4:52:25 time: 0.5266 data_time: 0.0424 memory: 18108 grad_norm: 2.9547 loss: 4.6322 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6198 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 2.0124 2023/02/01 00:38:58 - mmengine - INFO - Epoch(train) [58][1000/1879] lr: 9.7253e-02 eta: 2 days, 4:52:14 time: 0.5005 data_time: 0.0318 memory: 18108 grad_norm: 2.9471 loss: 4.6033 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7244 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 1.8789 2023/02/01 00:39:08 - mmengine - INFO - Epoch(train) [58][1020/1879] lr: 9.7251e-02 eta: 2 days, 4:52:04 time: 0.5166 data_time: 0.0337 memory: 18108 grad_norm: 3.0266 loss: 4.6810 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7940 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.8870 2023/02/01 00:39:18 - mmengine - INFO - Epoch(train) [58][1040/1879] lr: 9.7248e-02 eta: 2 days, 4:51:54 time: 0.5023 data_time: 0.0326 memory: 18108 grad_norm: 2.9445 loss: 4.6848 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.7497 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.9352 2023/02/01 00:39:29 - mmengine - INFO - Epoch(train) [58][1060/1879] lr: 9.7246e-02 eta: 2 days, 4:51:45 time: 0.5279 data_time: 0.0391 memory: 18108 grad_norm: 2.9082 loss: 4.6722 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6469 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0254 2023/02/01 00:39:39 - mmengine - INFO - Epoch(train) [58][1080/1879] lr: 9.7243e-02 eta: 2 days, 4:51:34 time: 0.5031 data_time: 0.0314 memory: 18108 grad_norm: 2.9122 loss: 4.3484 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4165 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9320 2023/02/01 00:39:50 - mmengine - INFO - Epoch(train) [58][1100/1879] lr: 9.7241e-02 eta: 2 days, 4:51:25 time: 0.5323 data_time: 0.0341 memory: 18108 grad_norm: 2.8906 loss: 4.5368 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.5814 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 1.9554 2023/02/01 00:40:00 - mmengine - INFO - Epoch(train) [58][1120/1879] lr: 9.7238e-02 eta: 2 days, 4:51:15 time: 0.5078 data_time: 0.0318 memory: 18108 grad_norm: 2.9474 loss: 4.6198 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6338 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.9861 2023/02/01 00:40:10 - mmengine - INFO - Epoch(train) [58][1140/1879] lr: 9.7236e-02 eta: 2 days, 4:51:05 time: 0.5200 data_time: 0.0406 memory: 18108 grad_norm: 2.9180 loss: 4.7294 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8259 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9035 2023/02/01 00:40:21 - mmengine - INFO - Epoch(train) [58][1160/1879] lr: 9.7234e-02 eta: 2 days, 4:50:56 time: 0.5217 data_time: 0.0319 memory: 18108 grad_norm: 2.8596 loss: 4.4178 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5488 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.8690 2023/02/01 00:40:31 - mmengine - INFO - Epoch(train) [58][1180/1879] lr: 9.7231e-02 eta: 2 days, 4:50:46 time: 0.5175 data_time: 0.0353 memory: 18108 grad_norm: 2.9282 loss: 4.6070 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6750 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.9320 2023/02/01 00:40:41 - mmengine - INFO - Epoch(train) [58][1200/1879] lr: 9.7229e-02 eta: 2 days, 4:50:35 time: 0.4993 data_time: 0.0321 memory: 18108 grad_norm: 2.9557 loss: 4.6969 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7777 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9192 2023/02/01 00:40:52 - mmengine - INFO - Epoch(train) [58][1220/1879] lr: 9.7226e-02 eta: 2 days, 4:50:26 time: 0.5291 data_time: 0.0410 memory: 18108 grad_norm: 2.9777 loss: 4.5931 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7010 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.8922 2023/02/01 00:41:02 - mmengine - INFO - Epoch(train) [58][1240/1879] lr: 9.7224e-02 eta: 2 days, 4:50:16 time: 0.5090 data_time: 0.0318 memory: 18108 grad_norm: 2.9826 loss: 4.9271 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.8537 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.0734 2023/02/01 00:41:12 - mmengine - INFO - Epoch(train) [58][1260/1879] lr: 9.7221e-02 eta: 2 days, 4:50:06 time: 0.5219 data_time: 0.0398 memory: 18108 grad_norm: 2.9323 loss: 4.6320 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7540 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.8780 2023/02/01 00:41:23 - mmengine - INFO - Epoch(train) [58][1280/1879] lr: 9.7219e-02 eta: 2 days, 4:49:57 time: 0.5167 data_time: 0.0350 memory: 18108 grad_norm: 2.9261 loss: 4.6481 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7599 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8882 2023/02/01 00:41:34 - mmengine - INFO - Epoch(train) [58][1300/1879] lr: 9.7216e-02 eta: 2 days, 4:49:49 time: 0.5489 data_time: 0.0353 memory: 18108 grad_norm: 2.9071 loss: 4.7447 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8511 top1_acc_1: 0.4706 top5_acc_1: 0.8000 loss_cls_1: 1.8936 2023/02/01 00:41:44 - mmengine - INFO - Epoch(train) [58][1320/1879] lr: 9.7214e-02 eta: 2 days, 4:49:38 time: 0.4977 data_time: 0.0268 memory: 18108 grad_norm: 2.9353 loss: 4.6686 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7287 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.9399 2023/02/01 00:41:54 - mmengine - INFO - Epoch(train) [58][1340/1879] lr: 9.7211e-02 eta: 2 days, 4:49:29 time: 0.5245 data_time: 0.0441 memory: 18108 grad_norm: 2.8842 loss: 4.7537 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8138 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.9399 2023/02/01 00:42:05 - mmengine - INFO - Epoch(train) [58][1360/1879] lr: 9.7209e-02 eta: 2 days, 4:49:20 time: 0.5303 data_time: 0.0274 memory: 18108 grad_norm: 2.9767 loss: 4.6620 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7308 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9312 2023/02/01 00:42:15 - mmengine - INFO - Epoch(train) [58][1380/1879] lr: 9.7206e-02 eta: 2 days, 4:49:11 time: 0.5301 data_time: 0.0361 memory: 18108 grad_norm: 2.9983 loss: 4.7906 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8702 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.9204 2023/02/01 00:42:26 - mmengine - INFO - Epoch(train) [58][1400/1879] lr: 9.7204e-02 eta: 2 days, 4:49:01 time: 0.5094 data_time: 0.0282 memory: 18108 grad_norm: 2.9464 loss: 4.7775 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8414 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9360 2023/02/01 00:42:36 - mmengine - INFO - Epoch(train) [58][1420/1879] lr: 9.7201e-02 eta: 2 days, 4:48:53 time: 0.5406 data_time: 0.0430 memory: 18108 grad_norm: 2.9088 loss: 4.6191 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6558 top1_acc_1: 0.4941 top5_acc_1: 0.6941 loss_cls_1: 1.9633 2023/02/01 00:42:47 - mmengine - INFO - Epoch(train) [58][1440/1879] lr: 9.7199e-02 eta: 2 days, 4:48:44 time: 0.5335 data_time: 0.0287 memory: 18108 grad_norm: 2.9613 loss: 4.5358 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5654 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9705 2023/02/01 00:42:58 - mmengine - INFO - Epoch(train) [58][1460/1879] lr: 9.7196e-02 eta: 2 days, 4:48:35 time: 0.5287 data_time: 0.0341 memory: 18108 grad_norm: 2.9205 loss: 4.4867 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5809 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.9058 2023/02/01 00:43:08 - mmengine - INFO - Epoch(train) [58][1480/1879] lr: 9.7194e-02 eta: 2 days, 4:48:27 time: 0.5349 data_time: 0.0355 memory: 18108 grad_norm: 2.9075 loss: 4.4967 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.5157 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.9810 2023/02/01 00:43:20 - mmengine - INFO - Epoch(train) [58][1500/1879] lr: 9.7191e-02 eta: 2 days, 4:48:20 time: 0.5584 data_time: 0.0358 memory: 18108 grad_norm: 2.9853 loss: 4.6240 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6927 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.9313 2023/02/01 00:43:30 - mmengine - INFO - Epoch(train) [58][1520/1879] lr: 9.7189e-02 eta: 2 days, 4:48:09 time: 0.5090 data_time: 0.0299 memory: 18108 grad_norm: 2.9613 loss: 4.5113 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6414 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.8699 2023/02/01 00:43:41 - mmengine - INFO - Epoch(train) [58][1540/1879] lr: 9.7186e-02 eta: 2 days, 4:48:01 time: 0.5435 data_time: 0.0421 memory: 18108 grad_norm: 2.9070 loss: 4.6649 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6957 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.9693 2023/02/01 00:43:51 - mmengine - INFO - Epoch(train) [58][1560/1879] lr: 9.7184e-02 eta: 2 days, 4:47:53 time: 0.5414 data_time: 0.0328 memory: 18108 grad_norm: 2.9745 loss: 4.5137 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6369 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8768 2023/02/01 00:44:02 - mmengine - INFO - Epoch(train) [58][1580/1879] lr: 9.7181e-02 eta: 2 days, 4:47:45 time: 0.5410 data_time: 0.0330 memory: 18108 grad_norm: 2.9389 loss: 4.7641 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7853 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.9788 2023/02/01 00:44:13 - mmengine - INFO - Epoch(train) [58][1600/1879] lr: 9.7179e-02 eta: 2 days, 4:47:35 time: 0.5122 data_time: 0.0313 memory: 18108 grad_norm: 2.9365 loss: 4.6092 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6863 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9229 2023/02/01 00:44:23 - mmengine - INFO - Epoch(train) [58][1620/1879] lr: 9.7176e-02 eta: 2 days, 4:47:27 time: 0.5387 data_time: 0.0405 memory: 18108 grad_norm: 2.9309 loss: 4.8804 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.9179 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.9626 2023/02/01 00:44:34 - mmengine - INFO - Epoch(train) [58][1640/1879] lr: 9.7174e-02 eta: 2 days, 4:47:18 time: 0.5310 data_time: 0.0324 memory: 18108 grad_norm: 2.9098 loss: 4.7495 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7717 top1_acc_1: 0.4588 top5_acc_1: 0.7059 loss_cls_1: 1.9779 2023/02/01 00:44:44 - mmengine - INFO - Epoch(train) [58][1660/1879] lr: 9.7171e-02 eta: 2 days, 4:47:09 time: 0.5242 data_time: 0.0348 memory: 18108 grad_norm: 2.8713 loss: 4.8232 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8137 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0096 2023/02/01 00:44:55 - mmengine - INFO - Epoch(train) [58][1680/1879] lr: 9.7169e-02 eta: 2 days, 4:47:01 time: 0.5414 data_time: 0.0327 memory: 18108 grad_norm: 2.8751 loss: 4.6116 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.7202 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8914 2023/02/01 00:45:06 - mmengine - INFO - Epoch(train) [58][1700/1879] lr: 9.7166e-02 eta: 2 days, 4:46:53 time: 0.5456 data_time: 0.0334 memory: 18108 grad_norm: 2.9222 loss: 4.9648 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8869 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 2.0779 2023/02/01 00:45:17 - mmengine - INFO - Epoch(train) [58][1720/1879] lr: 9.7164e-02 eta: 2 days, 4:46:43 time: 0.5208 data_time: 0.0326 memory: 18108 grad_norm: 2.9871 loss: 4.8520 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8688 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.9832 2023/02/01 00:45:27 - mmengine - INFO - Epoch(train) [58][1740/1879] lr: 9.7161e-02 eta: 2 days, 4:46:35 time: 0.5387 data_time: 0.0390 memory: 18108 grad_norm: 2.8785 loss: 4.5366 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.5789 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.9577 2023/02/01 00:45:38 - mmengine - INFO - Epoch(train) [58][1760/1879] lr: 9.7159e-02 eta: 2 days, 4:46:26 time: 0.5318 data_time: 0.0329 memory: 18108 grad_norm: 2.8553 loss: 4.5400 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5541 top1_acc_1: 0.5176 top5_acc_1: 0.6824 loss_cls_1: 1.9859 2023/02/01 00:45:49 - mmengine - INFO - Epoch(train) [58][1780/1879] lr: 9.7156e-02 eta: 2 days, 4:46:17 time: 0.5285 data_time: 0.0327 memory: 18108 grad_norm: 2.9193 loss: 4.8717 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8769 top1_acc_1: 0.5529 top5_acc_1: 0.7059 loss_cls_1: 1.9947 2023/02/01 00:45:59 - mmengine - INFO - Epoch(train) [58][1800/1879] lr: 9.7154e-02 eta: 2 days, 4:46:07 time: 0.5150 data_time: 0.0324 memory: 18108 grad_norm: 2.9460 loss: 4.7445 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8895 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.8550 2023/02/01 00:46:10 - mmengine - INFO - Epoch(train) [58][1820/1879] lr: 9.7151e-02 eta: 2 days, 4:45:59 time: 0.5372 data_time: 0.0382 memory: 18108 grad_norm: 2.9145 loss: 4.6229 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6439 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.9790 2023/02/01 00:46:20 - mmengine - INFO - Epoch(train) [58][1840/1879] lr: 9.7149e-02 eta: 2 days, 4:45:50 time: 0.5209 data_time: 0.0352 memory: 18108 grad_norm: 2.9232 loss: 4.7063 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.7509 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.9554 2023/02/01 00:46:30 - mmengine - INFO - Epoch(train) [58][1860/1879] lr: 9.7146e-02 eta: 2 days, 4:45:40 time: 0.5192 data_time: 0.0336 memory: 18108 grad_norm: 2.9418 loss: 4.6010 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6722 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.9287 2023/02/01 00:46:40 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 00:46:40 - mmengine - INFO - Epoch(train) [58][1879/1879] lr: 9.7144e-02 eta: 2 days, 4:45:30 time: 0.5105 data_time: 0.0370 memory: 18108 grad_norm: 2.9529 loss: 4.6440 top1_acc_0: 0.2857 top5_acc_0: 0.4286 loss_cls_0: 2.6970 top1_acc_1: 0.4588 top5_acc_1: 0.6824 loss_cls_1: 1.9470 2023/02/01 00:46:54 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 00:46:55 - mmengine - INFO - Epoch(train) [59][ 20/1879] lr: 9.7141e-02 eta: 2 days, 4:45:33 time: 0.7091 data_time: 0.2360 memory: 18108 grad_norm: 2.8817 loss: 4.5917 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7437 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.8480 2023/02/01 00:47:04 - mmengine - INFO - Epoch(train) [59][ 40/1879] lr: 9.7139e-02 eta: 2 days, 4:45:21 time: 0.4712 data_time: 0.0319 memory: 18108 grad_norm: 2.9079 loss: 4.5491 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7114 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8376 2023/02/01 00:47:14 - mmengine - INFO - Epoch(train) [59][ 60/1879] lr: 9.7136e-02 eta: 2 days, 4:45:08 time: 0.4791 data_time: 0.0402 memory: 18108 grad_norm: 2.8904 loss: 4.7350 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8447 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.8903 2023/02/01 00:47:24 - mmengine - INFO - Epoch(train) [59][ 80/1879] lr: 9.7134e-02 eta: 2 days, 4:44:58 time: 0.5060 data_time: 0.0308 memory: 18108 grad_norm: 2.9843 loss: 4.3881 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4865 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9015 2023/02/01 00:47:34 - mmengine - INFO - Epoch(train) [59][ 100/1879] lr: 9.7131e-02 eta: 2 days, 4:44:46 time: 0.4875 data_time: 0.0374 memory: 18108 grad_norm: 2.9869 loss: 4.6174 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.7140 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.9034 2023/02/01 00:47:43 - mmengine - INFO - Epoch(train) [59][ 120/1879] lr: 9.7129e-02 eta: 2 days, 4:44:33 time: 0.4735 data_time: 0.0316 memory: 18108 grad_norm: 2.9656 loss: 4.4636 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5823 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8813 2023/02/01 00:47:53 - mmengine - INFO - Epoch(train) [59][ 140/1879] lr: 9.7126e-02 eta: 2 days, 4:44:22 time: 0.4936 data_time: 0.0370 memory: 18108 grad_norm: 2.9859 loss: 4.5667 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7212 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.8455 2023/02/01 00:48:03 - mmengine - INFO - Epoch(train) [59][ 160/1879] lr: 9.7124e-02 eta: 2 days, 4:44:10 time: 0.4870 data_time: 0.0317 memory: 18108 grad_norm: 2.8971 loss: 4.8484 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8868 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9616 2023/02/01 00:48:13 - mmengine - INFO - Epoch(train) [59][ 180/1879] lr: 9.7121e-02 eta: 2 days, 4:43:58 time: 0.4852 data_time: 0.0363 memory: 18108 grad_norm: 2.9684 loss: 4.6992 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6631 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.0361 2023/02/01 00:48:22 - mmengine - INFO - Epoch(train) [59][ 200/1879] lr: 9.7119e-02 eta: 2 days, 4:43:46 time: 0.4884 data_time: 0.0325 memory: 18108 grad_norm: 2.9306 loss: 4.5503 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6488 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.9015 2023/02/01 00:48:33 - mmengine - INFO - Epoch(train) [59][ 220/1879] lr: 9.7116e-02 eta: 2 days, 4:43:37 time: 0.5226 data_time: 0.0426 memory: 18108 grad_norm: 2.9575 loss: 4.6257 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6779 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9477 2023/02/01 00:48:43 - mmengine - INFO - Epoch(train) [59][ 240/1879] lr: 9.7114e-02 eta: 2 days, 4:43:25 time: 0.4806 data_time: 0.0314 memory: 18108 grad_norm: 2.9459 loss: 4.5944 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.6749 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.9195 2023/02/01 00:48:52 - mmengine - INFO - Epoch(train) [59][ 260/1879] lr: 9.7111e-02 eta: 2 days, 4:43:13 time: 0.4860 data_time: 0.0383 memory: 18108 grad_norm: 3.0262 loss: 4.5817 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6536 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.9281 2023/02/01 00:49:03 - mmengine - INFO - Epoch(train) [59][ 280/1879] lr: 9.7109e-02 eta: 2 days, 4:43:03 time: 0.5123 data_time: 0.0312 memory: 18108 grad_norm: 2.9583 loss: 4.5900 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7734 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 1.8167 2023/02/01 00:49:13 - mmengine - INFO - Epoch(train) [59][ 300/1879] lr: 9.7106e-02 eta: 2 days, 4:42:52 time: 0.5063 data_time: 0.0427 memory: 18108 grad_norm: 2.9420 loss: 4.3478 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4798 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.8680 2023/02/01 00:49:22 - mmengine - INFO - Epoch(train) [59][ 320/1879] lr: 9.7104e-02 eta: 2 days, 4:42:40 time: 0.4872 data_time: 0.0307 memory: 18108 grad_norm: 2.9718 loss: 4.7961 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7814 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.0147 2023/02/01 00:49:32 - mmengine - INFO - Epoch(train) [59][ 340/1879] lr: 9.7101e-02 eta: 2 days, 4:42:30 time: 0.5036 data_time: 0.0377 memory: 18108 grad_norm: 2.9759 loss: 4.6151 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7530 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.8620 2023/02/01 00:49:43 - mmengine - INFO - Epoch(train) [59][ 360/1879] lr: 9.7099e-02 eta: 2 days, 4:42:20 time: 0.5182 data_time: 0.0300 memory: 18108 grad_norm: 2.9574 loss: 4.6785 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7302 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.9483 2023/02/01 00:49:53 - mmengine - INFO - Epoch(train) [59][ 380/1879] lr: 9.7096e-02 eta: 2 days, 4:42:09 time: 0.4999 data_time: 0.0434 memory: 18108 grad_norm: 3.0216 loss: 4.4985 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6314 top1_acc_1: 0.6588 top5_acc_1: 0.7529 loss_cls_1: 1.8671 2023/02/01 00:50:03 - mmengine - INFO - Epoch(train) [59][ 400/1879] lr: 9.7094e-02 eta: 2 days, 4:41:57 time: 0.4863 data_time: 0.0298 memory: 18108 grad_norm: 3.0260 loss: 4.7087 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7709 top1_acc_1: 0.4706 top5_acc_1: 0.7882 loss_cls_1: 1.9377 2023/02/01 00:50:13 - mmengine - INFO - Epoch(train) [59][ 420/1879] lr: 9.7091e-02 eta: 2 days, 4:41:47 time: 0.5104 data_time: 0.0376 memory: 18108 grad_norm: 2.9503 loss: 4.6209 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6842 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.9366 2023/02/01 00:50:23 - mmengine - INFO - Epoch(train) [59][ 440/1879] lr: 9.7089e-02 eta: 2 days, 4:41:37 time: 0.5100 data_time: 0.0381 memory: 18108 grad_norm: 2.9486 loss: 4.7355 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7278 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 2.0078 2023/02/01 00:50:33 - mmengine - INFO - Epoch(train) [59][ 460/1879] lr: 9.7086e-02 eta: 2 days, 4:41:25 time: 0.4916 data_time: 0.0372 memory: 18108 grad_norm: 2.9358 loss: 4.4415 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5840 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8575 2023/02/01 00:50:43 - mmengine - INFO - Epoch(train) [59][ 480/1879] lr: 9.7083e-02 eta: 2 days, 4:41:14 time: 0.4984 data_time: 0.0301 memory: 18108 grad_norm: 2.9916 loss: 4.6719 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7469 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.9249 2023/02/01 00:50:53 - mmengine - INFO - Epoch(train) [59][ 500/1879] lr: 9.7081e-02 eta: 2 days, 4:41:04 time: 0.5140 data_time: 0.0360 memory: 18108 grad_norm: 2.9782 loss: 4.7030 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7059 top1_acc_1: 0.5647 top5_acc_1: 0.8706 loss_cls_1: 1.9971 2023/02/01 00:51:03 - mmengine - INFO - Epoch(train) [59][ 520/1879] lr: 9.7078e-02 eta: 2 days, 4:40:53 time: 0.4959 data_time: 0.0329 memory: 18108 grad_norm: 2.9169 loss: 4.6232 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7475 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.8757 2023/02/01 00:51:13 - mmengine - INFO - Epoch(train) [59][ 540/1879] lr: 9.7076e-02 eta: 2 days, 4:40:43 time: 0.5040 data_time: 0.0370 memory: 18108 grad_norm: 2.9288 loss: 4.6308 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6547 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.9761 2023/02/01 00:51:23 - mmengine - INFO - Epoch(train) [59][ 560/1879] lr: 9.7073e-02 eta: 2 days, 4:40:31 time: 0.4963 data_time: 0.0324 memory: 18108 grad_norm: 3.0121 loss: 4.7550 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8003 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.9547 2023/02/01 00:51:33 - mmengine - INFO - Epoch(train) [59][ 580/1879] lr: 9.7071e-02 eta: 2 days, 4:40:20 time: 0.4960 data_time: 0.0451 memory: 18108 grad_norm: 2.9564 loss: 4.7208 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7268 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.9941 2023/02/01 00:51:43 - mmengine - INFO - Epoch(train) [59][ 600/1879] lr: 9.7068e-02 eta: 2 days, 4:40:08 time: 0.4839 data_time: 0.0322 memory: 18108 grad_norm: 3.0497 loss: 4.4852 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5992 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.8860 2023/02/01 00:51:53 - mmengine - INFO - Epoch(train) [59][ 620/1879] lr: 9.7066e-02 eta: 2 days, 4:39:58 time: 0.5107 data_time: 0.0363 memory: 18108 grad_norm: 2.9716 loss: 4.7578 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7750 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9828 2023/02/01 00:52:03 - mmengine - INFO - Epoch(train) [59][ 640/1879] lr: 9.7063e-02 eta: 2 days, 4:39:47 time: 0.5052 data_time: 0.0396 memory: 18108 grad_norm: 2.9629 loss: 4.8062 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.8144 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.9918 2023/02/01 00:52:13 - mmengine - INFO - Epoch(train) [59][ 660/1879] lr: 9.7061e-02 eta: 2 days, 4:39:36 time: 0.4859 data_time: 0.0384 memory: 18108 grad_norm: 2.9239 loss: 4.4790 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5722 top1_acc_1: 0.5059 top5_acc_1: 0.6824 loss_cls_1: 1.9068 2023/02/01 00:52:23 - mmengine - INFO - Epoch(train) [59][ 680/1879] lr: 9.7058e-02 eta: 2 days, 4:39:24 time: 0.4970 data_time: 0.0327 memory: 18108 grad_norm: 2.9438 loss: 4.5112 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6379 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.8733 2023/02/01 00:52:33 - mmengine - INFO - Epoch(train) [59][ 700/1879] lr: 9.7056e-02 eta: 2 days, 4:39:13 time: 0.4952 data_time: 0.0355 memory: 18108 grad_norm: 2.9910 loss: 4.6858 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7564 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 1.9294 2023/02/01 00:52:42 - mmengine - INFO - Epoch(train) [59][ 720/1879] lr: 9.7053e-02 eta: 2 days, 4:39:02 time: 0.4934 data_time: 0.0358 memory: 18108 grad_norm: 2.9362 loss: 4.5350 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6588 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8761 2023/02/01 00:52:52 - mmengine - INFO - Epoch(train) [59][ 740/1879] lr: 9.7050e-02 eta: 2 days, 4:38:50 time: 0.4915 data_time: 0.0374 memory: 18108 grad_norm: 2.9338 loss: 4.7190 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7009 top1_acc_1: 0.6824 top5_acc_1: 0.8000 loss_cls_1: 2.0181 2023/02/01 00:53:02 - mmengine - INFO - Epoch(train) [59][ 760/1879] lr: 9.7048e-02 eta: 2 days, 4:38:39 time: 0.4947 data_time: 0.0316 memory: 18108 grad_norm: 2.9075 loss: 4.5668 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6134 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.9534 2023/02/01 00:53:12 - mmengine - INFO - Epoch(train) [59][ 780/1879] lr: 9.7045e-02 eta: 2 days, 4:38:28 time: 0.5018 data_time: 0.0420 memory: 18108 grad_norm: 2.9789 loss: 4.6400 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.6488 top1_acc_1: 0.4471 top5_acc_1: 0.7176 loss_cls_1: 1.9913 2023/02/01 00:53:22 - mmengine - INFO - Epoch(train) [59][ 800/1879] lr: 9.7043e-02 eta: 2 days, 4:38:17 time: 0.4898 data_time: 0.0329 memory: 18108 grad_norm: 2.9712 loss: 4.7491 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7105 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 2.0385 2023/02/01 00:53:32 - mmengine - INFO - Epoch(train) [59][ 820/1879] lr: 9.7040e-02 eta: 2 days, 4:38:06 time: 0.4970 data_time: 0.0342 memory: 18108 grad_norm: 2.9023 loss: 4.5599 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5873 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 1.9726 2023/02/01 00:53:42 - mmengine - INFO - Epoch(train) [59][ 840/1879] lr: 9.7038e-02 eta: 2 days, 4:37:54 time: 0.4860 data_time: 0.0340 memory: 18108 grad_norm: 2.9508 loss: 4.8228 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7861 top1_acc_1: 0.4118 top5_acc_1: 0.7412 loss_cls_1: 2.0367 2023/02/01 00:53:52 - mmengine - INFO - Epoch(train) [59][ 860/1879] lr: 9.7035e-02 eta: 2 days, 4:37:43 time: 0.5041 data_time: 0.0406 memory: 18108 grad_norm: 2.9474 loss: 4.7014 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7488 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.9526 2023/02/01 00:54:02 - mmengine - INFO - Epoch(train) [59][ 880/1879] lr: 9.7033e-02 eta: 2 days, 4:37:31 time: 0.4826 data_time: 0.0314 memory: 18108 grad_norm: 2.8984 loss: 4.4270 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4921 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.9349 2023/02/01 00:54:12 - mmengine - INFO - Epoch(train) [59][ 900/1879] lr: 9.7030e-02 eta: 2 days, 4:37:20 time: 0.5006 data_time: 0.0363 memory: 18108 grad_norm: 2.9877 loss: 4.8666 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8521 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 2.0144 2023/02/01 00:54:21 - mmengine - INFO - Epoch(train) [59][ 920/1879] lr: 9.7027e-02 eta: 2 days, 4:37:09 time: 0.4972 data_time: 0.0397 memory: 18108 grad_norm: 2.9854 loss: 4.5615 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6604 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 1.9011 2023/02/01 00:54:32 - mmengine - INFO - Epoch(train) [59][ 940/1879] lr: 9.7025e-02 eta: 2 days, 4:36:59 time: 0.5083 data_time: 0.0348 memory: 18108 grad_norm: 3.0075 loss: 4.5929 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.6089 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9840 2023/02/01 00:54:42 - mmengine - INFO - Epoch(train) [59][ 960/1879] lr: 9.7022e-02 eta: 2 days, 4:36:48 time: 0.4998 data_time: 0.0327 memory: 18108 grad_norm: 2.9038 loss: 4.4857 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5531 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9326 2023/02/01 00:54:52 - mmengine - INFO - Epoch(train) [59][ 980/1879] lr: 9.7020e-02 eta: 2 days, 4:36:37 time: 0.4982 data_time: 0.0350 memory: 18108 grad_norm: 2.8947 loss: 4.8838 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9288 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.9550 2023/02/01 00:55:02 - mmengine - INFO - Epoch(train) [59][1000/1879] lr: 9.7017e-02 eta: 2 days, 4:36:26 time: 0.5010 data_time: 0.0400 memory: 18108 grad_norm: 2.9699 loss: 4.4129 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5277 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.8852 2023/02/01 00:55:11 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 00:55:12 - mmengine - INFO - Epoch(train) [59][1020/1879] lr: 9.7015e-02 eta: 2 days, 4:36:15 time: 0.5059 data_time: 0.0347 memory: 18108 grad_norm: 2.9251 loss: 4.4833 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.4353 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 2.0481 2023/02/01 00:55:22 - mmengine - INFO - Epoch(train) [59][1040/1879] lr: 9.7012e-02 eta: 2 days, 4:36:05 time: 0.5052 data_time: 0.0317 memory: 18108 grad_norm: 2.9581 loss: 4.9155 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9266 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 1.9888 2023/02/01 00:55:32 - mmengine - INFO - Epoch(train) [59][1060/1879] lr: 9.7010e-02 eta: 2 days, 4:35:54 time: 0.5009 data_time: 0.0407 memory: 18108 grad_norm: 2.9766 loss: 4.6992 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8053 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.8939 2023/02/01 00:55:42 - mmengine - INFO - Epoch(train) [59][1080/1879] lr: 9.7007e-02 eta: 2 days, 4:35:42 time: 0.4882 data_time: 0.0328 memory: 18108 grad_norm: 2.9343 loss: 4.5889 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5609 top1_acc_1: 0.4471 top5_acc_1: 0.6824 loss_cls_1: 2.0280 2023/02/01 00:55:52 - mmengine - INFO - Epoch(train) [59][1100/1879] lr: 9.7004e-02 eta: 2 days, 4:35:31 time: 0.5012 data_time: 0.0342 memory: 18108 grad_norm: 2.9102 loss: 4.7547 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7848 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9699 2023/02/01 00:56:02 - mmengine - INFO - Epoch(train) [59][1120/1879] lr: 9.7002e-02 eta: 2 days, 4:35:21 time: 0.5030 data_time: 0.0389 memory: 18108 grad_norm: 2.9591 loss: 4.6330 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6981 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.9349 2023/02/01 00:56:12 - mmengine - INFO - Epoch(train) [59][1140/1879] lr: 9.6999e-02 eta: 2 days, 4:35:10 time: 0.5032 data_time: 0.0383 memory: 18108 grad_norm: 2.9478 loss: 4.5678 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5717 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.9961 2023/02/01 00:56:22 - mmengine - INFO - Epoch(train) [59][1160/1879] lr: 9.6997e-02 eta: 2 days, 4:34:59 time: 0.4926 data_time: 0.0373 memory: 18108 grad_norm: 2.9190 loss: 4.7935 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8453 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.9483 2023/02/01 00:56:32 - mmengine - INFO - Epoch(train) [59][1180/1879] lr: 9.6994e-02 eta: 2 days, 4:34:48 time: 0.5080 data_time: 0.0289 memory: 18108 grad_norm: 2.9271 loss: 4.6055 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6392 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9663 2023/02/01 00:56:42 - mmengine - INFO - Epoch(train) [59][1200/1879] lr: 9.6992e-02 eta: 2 days, 4:34:38 time: 0.5069 data_time: 0.0452 memory: 18108 grad_norm: 3.0118 loss: 4.5357 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.6859 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.8498 2023/02/01 00:56:52 - mmengine - INFO - Epoch(train) [59][1220/1879] lr: 9.6989e-02 eta: 2 days, 4:34:27 time: 0.5025 data_time: 0.0312 memory: 18108 grad_norm: 2.9445 loss: 4.4558 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5470 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.9088 2023/02/01 00:57:02 - mmengine - INFO - Epoch(train) [59][1240/1879] lr: 9.6986e-02 eta: 2 days, 4:34:17 time: 0.5082 data_time: 0.0382 memory: 18108 grad_norm: 2.9114 loss: 4.4110 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4883 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.9226 2023/02/01 00:57:12 - mmengine - INFO - Epoch(train) [59][1260/1879] lr: 9.6984e-02 eta: 2 days, 4:34:06 time: 0.4986 data_time: 0.0291 memory: 18108 grad_norm: 2.8834 loss: 4.6906 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7799 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9106 2023/02/01 00:57:22 - mmengine - INFO - Epoch(train) [59][1280/1879] lr: 9.6981e-02 eta: 2 days, 4:33:55 time: 0.5012 data_time: 0.0469 memory: 18108 grad_norm: 2.8751 loss: 4.4493 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5530 top1_acc_1: 0.4471 top5_acc_1: 0.6588 loss_cls_1: 1.8964 2023/02/01 00:57:32 - mmengine - INFO - Epoch(train) [59][1300/1879] lr: 9.6979e-02 eta: 2 days, 4:33:44 time: 0.4970 data_time: 0.0299 memory: 18108 grad_norm: 2.9552 loss: 4.4016 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5320 top1_acc_1: 0.4941 top5_acc_1: 0.6706 loss_cls_1: 1.8695 2023/02/01 00:57:42 - mmengine - INFO - Epoch(train) [59][1320/1879] lr: 9.6976e-02 eta: 2 days, 4:33:33 time: 0.4964 data_time: 0.0382 memory: 18108 grad_norm: 2.9721 loss: 4.6957 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.6315 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 2.0643 2023/02/01 00:57:52 - mmengine - INFO - Epoch(train) [59][1340/1879] lr: 9.6974e-02 eta: 2 days, 4:33:21 time: 0.4935 data_time: 0.0384 memory: 18108 grad_norm: 2.9478 loss: 4.7729 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8065 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9664 2023/02/01 00:58:02 - mmengine - INFO - Epoch(train) [59][1360/1879] lr: 9.6971e-02 eta: 2 days, 4:33:10 time: 0.4943 data_time: 0.0388 memory: 18108 grad_norm: 2.9562 loss: 4.3729 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4544 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.9184 2023/02/01 00:58:12 - mmengine - INFO - Epoch(train) [59][1380/1879] lr: 9.6968e-02 eta: 2 days, 4:32:59 time: 0.4948 data_time: 0.0302 memory: 18108 grad_norm: 2.9816 loss: 4.5443 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6058 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.9385 2023/02/01 00:58:22 - mmengine - INFO - Epoch(train) [59][1400/1879] lr: 9.6966e-02 eta: 2 days, 4:32:47 time: 0.4921 data_time: 0.0363 memory: 18108 grad_norm: 2.9055 loss: 4.7669 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7642 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.0027 2023/02/01 00:58:32 - mmengine - INFO - Epoch(train) [59][1420/1879] lr: 9.6963e-02 eta: 2 days, 4:32:36 time: 0.4995 data_time: 0.0385 memory: 18108 grad_norm: 2.9241 loss: 4.7514 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7613 top1_acc_1: 0.4353 top5_acc_1: 0.7412 loss_cls_1: 1.9901 2023/02/01 00:58:42 - mmengine - INFO - Epoch(train) [59][1440/1879] lr: 9.6961e-02 eta: 2 days, 4:32:25 time: 0.5009 data_time: 0.0355 memory: 18108 grad_norm: 2.9088 loss: 4.4013 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.4701 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9312 2023/02/01 00:58:52 - mmengine - INFO - Epoch(train) [59][1460/1879] lr: 9.6958e-02 eta: 2 days, 4:32:15 time: 0.5001 data_time: 0.0334 memory: 18108 grad_norm: 2.9191 loss: 4.5124 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6834 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8290 2023/02/01 00:59:02 - mmengine - INFO - Epoch(train) [59][1480/1879] lr: 9.6955e-02 eta: 2 days, 4:32:03 time: 0.4936 data_time: 0.0374 memory: 18108 grad_norm: 2.9325 loss: 4.5135 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5900 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.9236 2023/02/01 00:59:11 - mmengine - INFO - Epoch(train) [59][1500/1879] lr: 9.6953e-02 eta: 2 days, 4:31:52 time: 0.4928 data_time: 0.0313 memory: 18108 grad_norm: 2.9763 loss: 4.9389 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9817 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.9571 2023/02/01 00:59:21 - mmengine - INFO - Epoch(train) [59][1520/1879] lr: 9.6950e-02 eta: 2 days, 4:31:40 time: 0.4923 data_time: 0.0357 memory: 18108 grad_norm: 2.9250 loss: 4.7758 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8029 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 1.9729 2023/02/01 00:59:31 - mmengine - INFO - Epoch(train) [59][1540/1879] lr: 9.6948e-02 eta: 2 days, 4:31:29 time: 0.4932 data_time: 0.0313 memory: 18108 grad_norm: 2.9008 loss: 4.7390 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.6321 top1_acc_1: 0.5176 top5_acc_1: 0.6824 loss_cls_1: 2.1069 2023/02/01 00:59:41 - mmengine - INFO - Epoch(train) [59][1560/1879] lr: 9.6945e-02 eta: 2 days, 4:31:18 time: 0.4970 data_time: 0.0459 memory: 18108 grad_norm: 2.9276 loss: 4.7901 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7946 top1_acc_1: 0.4588 top5_acc_1: 0.6824 loss_cls_1: 1.9955 2023/02/01 00:59:51 - mmengine - INFO - Epoch(train) [59][1580/1879] lr: 9.6942e-02 eta: 2 days, 4:31:06 time: 0.4867 data_time: 0.0294 memory: 18108 grad_norm: 3.0352 loss: 4.5053 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5756 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9297 2023/02/01 01:00:01 - mmengine - INFO - Epoch(train) [59][1600/1879] lr: 9.6940e-02 eta: 2 days, 4:30:55 time: 0.4970 data_time: 0.0391 memory: 18108 grad_norm: 2.9433 loss: 4.5361 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6692 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8669 2023/02/01 01:00:11 - mmengine - INFO - Epoch(train) [59][1620/1879] lr: 9.6937e-02 eta: 2 days, 4:30:43 time: 0.4871 data_time: 0.0316 memory: 18108 grad_norm: 3.0045 loss: 4.6158 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.6213 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 1.9945 2023/02/01 01:00:21 - mmengine - INFO - Epoch(train) [59][1640/1879] lr: 9.6935e-02 eta: 2 days, 4:30:32 time: 0.4956 data_time: 0.0459 memory: 18108 grad_norm: 2.8805 loss: 4.8468 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 2.8164 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 2.0304 2023/02/01 01:00:30 - mmengine - INFO - Epoch(train) [59][1660/1879] lr: 9.6932e-02 eta: 2 days, 4:30:21 time: 0.4914 data_time: 0.0320 memory: 18108 grad_norm: 3.0140 loss: 4.5964 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6745 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.9219 2023/02/01 01:00:40 - mmengine - INFO - Epoch(train) [59][1680/1879] lr: 9.6929e-02 eta: 2 days, 4:30:09 time: 0.4856 data_time: 0.0366 memory: 18108 grad_norm: 2.9395 loss: 4.7602 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7562 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.0040 2023/02/01 01:00:50 - mmengine - INFO - Epoch(train) [59][1700/1879] lr: 9.6927e-02 eta: 2 days, 4:29:58 time: 0.5007 data_time: 0.0308 memory: 18108 grad_norm: 2.8630 loss: 4.8457 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8124 top1_acc_1: 0.4706 top5_acc_1: 0.6941 loss_cls_1: 2.0333 2023/02/01 01:01:00 - mmengine - INFO - Epoch(train) [59][1720/1879] lr: 9.6924e-02 eta: 2 days, 4:29:47 time: 0.4974 data_time: 0.0503 memory: 18108 grad_norm: 2.8756 loss: 4.5151 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5841 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9310 2023/02/01 01:01:10 - mmengine - INFO - Epoch(train) [59][1740/1879] lr: 9.6922e-02 eta: 2 days, 4:29:36 time: 0.5078 data_time: 0.0306 memory: 18108 grad_norm: 2.8782 loss: 4.5106 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5077 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0030 2023/02/01 01:01:20 - mmengine - INFO - Epoch(train) [59][1760/1879] lr: 9.6919e-02 eta: 2 days, 4:29:26 time: 0.5012 data_time: 0.0363 memory: 18108 grad_norm: 2.9049 loss: 4.6077 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7310 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.8767 2023/02/01 01:01:31 - mmengine - INFO - Epoch(train) [59][1780/1879] lr: 9.6916e-02 eta: 2 days, 4:29:16 time: 0.5146 data_time: 0.0384 memory: 18108 grad_norm: 2.9397 loss: 4.6545 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7910 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.8635 2023/02/01 01:01:41 - mmengine - INFO - Epoch(train) [59][1800/1879] lr: 9.6914e-02 eta: 2 days, 4:29:05 time: 0.5030 data_time: 0.0372 memory: 18108 grad_norm: 2.9375 loss: 4.6478 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5814 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 2.0664 2023/02/01 01:01:50 - mmengine - INFO - Epoch(train) [59][1820/1879] lr: 9.6911e-02 eta: 2 days, 4:28:54 time: 0.4929 data_time: 0.0322 memory: 18108 grad_norm: 3.0273 loss: 4.9144 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8391 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.0753 2023/02/01 01:02:01 - mmengine - INFO - Epoch(train) [59][1840/1879] lr: 9.6909e-02 eta: 2 days, 4:28:43 time: 0.5078 data_time: 0.0398 memory: 18108 grad_norm: 2.9610 loss: 4.8281 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8817 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9464 2023/02/01 01:02:11 - mmengine - INFO - Epoch(train) [59][1860/1879] lr: 9.6906e-02 eta: 2 days, 4:28:33 time: 0.5152 data_time: 0.0367 memory: 18108 grad_norm: 2.9294 loss: 4.4572 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5602 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.8970 2023/02/01 01:02:20 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 01:02:20 - mmengine - INFO - Epoch(train) [59][1879/1879] lr: 9.6904e-02 eta: 2 days, 4:28:22 time: 0.4853 data_time: 0.0343 memory: 18108 grad_norm: 3.0607 loss: 4.3791 top1_acc_0: 0.0000 top5_acc_0: 0.8571 loss_cls_0: 2.4533 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.9257 2023/02/01 01:02:35 - mmengine - INFO - Epoch(train) [60][ 20/1879] lr: 9.6901e-02 eta: 2 days, 4:28:25 time: 0.7041 data_time: 0.2583 memory: 18108 grad_norm: 2.8908 loss: 4.7764 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7720 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 2.0044 2023/02/01 01:02:44 - mmengine - INFO - Epoch(train) [60][ 40/1879] lr: 9.6898e-02 eta: 2 days, 4:28:11 time: 0.4679 data_time: 0.0332 memory: 18108 grad_norm: 2.9529 loss: 4.3199 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5021 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.8178 2023/02/01 01:02:54 - mmengine - INFO - Epoch(train) [60][ 60/1879] lr: 9.6896e-02 eta: 2 days, 4:27:59 time: 0.4778 data_time: 0.0352 memory: 18108 grad_norm: 2.9855 loss: 4.8030 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8348 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9682 2023/02/01 01:03:04 - mmengine - INFO - Epoch(train) [60][ 80/1879] lr: 9.6893e-02 eta: 2 days, 4:27:48 time: 0.4977 data_time: 0.0313 memory: 18108 grad_norm: 2.8975 loss: 4.5065 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5698 top1_acc_1: 0.5059 top5_acc_1: 0.8353 loss_cls_1: 1.9367 2023/02/01 01:03:13 - mmengine - INFO - Epoch(train) [60][ 100/1879] lr: 9.6891e-02 eta: 2 days, 4:27:35 time: 0.4745 data_time: 0.0386 memory: 18108 grad_norm: 2.9416 loss: 4.4212 top1_acc_0: 0.1875 top5_acc_0: 0.7500 loss_cls_0: 2.5503 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8709 2023/02/01 01:03:23 - mmengine - INFO - Epoch(train) [60][ 120/1879] lr: 9.6888e-02 eta: 2 days, 4:27:23 time: 0.4815 data_time: 0.0305 memory: 18108 grad_norm: 2.9124 loss: 4.5928 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7444 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.8484 2023/02/01 01:03:32 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 01:03:33 - mmengine - INFO - Epoch(train) [60][ 140/1879] lr: 9.6885e-02 eta: 2 days, 4:27:12 time: 0.5005 data_time: 0.0361 memory: 18108 grad_norm: 2.9656 loss: 4.6002 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6537 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9465 2023/02/01 01:03:43 - mmengine - INFO - Epoch(train) [60][ 160/1879] lr: 9.6883e-02 eta: 2 days, 4:27:01 time: 0.4887 data_time: 0.0301 memory: 18108 grad_norm: 3.0095 loss: 4.5276 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.6584 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8692 2023/02/01 01:03:52 - mmengine - INFO - Epoch(train) [60][ 180/1879] lr: 9.6880e-02 eta: 2 days, 4:26:49 time: 0.4813 data_time: 0.0387 memory: 18108 grad_norm: 2.9724 loss: 4.6200 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7038 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9161 2023/02/01 01:04:02 - mmengine - INFO - Epoch(train) [60][ 200/1879] lr: 9.6877e-02 eta: 2 days, 4:26:37 time: 0.4904 data_time: 0.0358 memory: 18108 grad_norm: 2.9897 loss: 4.5365 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6690 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.8675 2023/02/01 01:04:12 - mmengine - INFO - Epoch(train) [60][ 220/1879] lr: 9.6875e-02 eta: 2 days, 4:26:26 time: 0.4933 data_time: 0.0386 memory: 18108 grad_norm: 2.9450 loss: 4.5797 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7191 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8605 2023/02/01 01:04:22 - mmengine - INFO - Epoch(train) [60][ 240/1879] lr: 9.6872e-02 eta: 2 days, 4:26:14 time: 0.4866 data_time: 0.0301 memory: 18108 grad_norm: 2.9222 loss: 4.8860 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9465 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9395 2023/02/01 01:04:32 - mmengine - INFO - Epoch(train) [60][ 260/1879] lr: 9.6870e-02 eta: 2 days, 4:26:02 time: 0.4898 data_time: 0.0372 memory: 18108 grad_norm: 2.9715 loss: 4.4668 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5514 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.9154 2023/02/01 01:04:41 - mmengine - INFO - Epoch(train) [60][ 280/1879] lr: 9.6867e-02 eta: 2 days, 4:25:50 time: 0.4810 data_time: 0.0292 memory: 18108 grad_norm: 2.9836 loss: 4.5799 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6610 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.9190 2023/02/01 01:04:51 - mmengine - INFO - Epoch(train) [60][ 300/1879] lr: 9.6864e-02 eta: 2 days, 4:25:39 time: 0.4906 data_time: 0.0396 memory: 18108 grad_norm: 2.9644 loss: 4.8064 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.8291 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9773 2023/02/01 01:05:01 - mmengine - INFO - Epoch(train) [60][ 320/1879] lr: 9.6862e-02 eta: 2 days, 4:25:28 time: 0.5032 data_time: 0.0358 memory: 18108 grad_norm: 2.9494 loss: 4.6232 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6753 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.9479 2023/02/01 01:05:11 - mmengine - INFO - Epoch(train) [60][ 340/1879] lr: 9.6859e-02 eta: 2 days, 4:25:16 time: 0.4834 data_time: 0.0387 memory: 18108 grad_norm: 2.9536 loss: 4.7033 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8027 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.9006 2023/02/01 01:05:21 - mmengine - INFO - Epoch(train) [60][ 360/1879] lr: 9.6856e-02 eta: 2 days, 4:25:05 time: 0.4939 data_time: 0.0298 memory: 18108 grad_norm: 2.9264 loss: 4.7392 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7938 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9453 2023/02/01 01:05:30 - mmengine - INFO - Epoch(train) [60][ 380/1879] lr: 9.6854e-02 eta: 2 days, 4:24:53 time: 0.4907 data_time: 0.0375 memory: 18108 grad_norm: 2.9748 loss: 4.7779 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8626 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.9153 2023/02/01 01:05:40 - mmengine - INFO - Epoch(train) [60][ 400/1879] lr: 9.6851e-02 eta: 2 days, 4:24:42 time: 0.4906 data_time: 0.0303 memory: 18108 grad_norm: 2.9280 loss: 4.4339 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6021 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.8318 2023/02/01 01:05:50 - mmengine - INFO - Epoch(train) [60][ 420/1879] lr: 9.6849e-02 eta: 2 days, 4:24:30 time: 0.4908 data_time: 0.0384 memory: 18108 grad_norm: 2.9649 loss: 4.7816 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8099 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9717 2023/02/01 01:06:00 - mmengine - INFO - Epoch(train) [60][ 440/1879] lr: 9.6846e-02 eta: 2 days, 4:24:18 time: 0.4868 data_time: 0.0308 memory: 18108 grad_norm: 2.9509 loss: 4.7387 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7508 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9879 2023/02/01 01:06:10 - mmengine - INFO - Epoch(train) [60][ 460/1879] lr: 9.6843e-02 eta: 2 days, 4:24:07 time: 0.4941 data_time: 0.0469 memory: 18108 grad_norm: 2.9892 loss: 4.7167 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7628 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9540 2023/02/01 01:06:19 - mmengine - INFO - Epoch(train) [60][ 480/1879] lr: 9.6841e-02 eta: 2 days, 4:23:55 time: 0.4824 data_time: 0.0314 memory: 18108 grad_norm: 2.9593 loss: 4.5388 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5944 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9444 2023/02/01 01:06:29 - mmengine - INFO - Epoch(train) [60][ 500/1879] lr: 9.6838e-02 eta: 2 days, 4:23:44 time: 0.4948 data_time: 0.0392 memory: 18108 grad_norm: 3.0166 loss: 4.8273 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8792 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9481 2023/02/01 01:06:39 - mmengine - INFO - Epoch(train) [60][ 520/1879] lr: 9.6835e-02 eta: 2 days, 4:23:33 time: 0.4925 data_time: 0.0399 memory: 18108 grad_norm: 2.9286 loss: 4.5453 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6250 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.9203 2023/02/01 01:06:49 - mmengine - INFO - Epoch(train) [60][ 540/1879] lr: 9.6833e-02 eta: 2 days, 4:23:21 time: 0.4923 data_time: 0.0393 memory: 18108 grad_norm: 3.0041 loss: 4.5361 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5635 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.9726 2023/02/01 01:06:59 - mmengine - INFO - Epoch(train) [60][ 560/1879] lr: 9.6830e-02 eta: 2 days, 4:23:09 time: 0.4826 data_time: 0.0290 memory: 18108 grad_norm: 2.9712 loss: 4.5533 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7035 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8498 2023/02/01 01:07:09 - mmengine - INFO - Epoch(train) [60][ 580/1879] lr: 9.6827e-02 eta: 2 days, 4:22:58 time: 0.4992 data_time: 0.0471 memory: 18108 grad_norm: 2.9694 loss: 4.6750 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.8085 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.8664 2023/02/01 01:07:18 - mmengine - INFO - Epoch(train) [60][ 600/1879] lr: 9.6825e-02 eta: 2 days, 4:22:46 time: 0.4831 data_time: 0.0304 memory: 18108 grad_norm: 2.9870 loss: 4.5735 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.7337 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.8398 2023/02/01 01:07:28 - mmengine - INFO - Epoch(train) [60][ 620/1879] lr: 9.6822e-02 eta: 2 days, 4:22:35 time: 0.4910 data_time: 0.0392 memory: 18108 grad_norm: 2.9451 loss: 4.4618 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5405 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9213 2023/02/01 01:07:38 - mmengine - INFO - Epoch(train) [60][ 640/1879] lr: 9.6820e-02 eta: 2 days, 4:22:24 time: 0.5042 data_time: 0.0300 memory: 18108 grad_norm: 2.9729 loss: 4.5605 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6513 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9092 2023/02/01 01:07:48 - mmengine - INFO - Epoch(train) [60][ 660/1879] lr: 9.6817e-02 eta: 2 days, 4:22:12 time: 0.4848 data_time: 0.0432 memory: 18108 grad_norm: 2.9028 loss: 4.5069 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5724 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9345 2023/02/01 01:07:58 - mmengine - INFO - Epoch(train) [60][ 680/1879] lr: 9.6814e-02 eta: 2 days, 4:22:00 time: 0.4814 data_time: 0.0312 memory: 18108 grad_norm: 2.9334 loss: 4.6102 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7217 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 1.8884 2023/02/01 01:08:07 - mmengine - INFO - Epoch(train) [60][ 700/1879] lr: 9.6812e-02 eta: 2 days, 4:21:48 time: 0.4886 data_time: 0.0362 memory: 18108 grad_norm: 2.9652 loss: 4.7456 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.7165 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 2.0292 2023/02/01 01:08:17 - mmengine - INFO - Epoch(train) [60][ 720/1879] lr: 9.6809e-02 eta: 2 days, 4:21:38 time: 0.5039 data_time: 0.0362 memory: 18108 grad_norm: 3.0162 loss: 4.6934 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6943 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9990 2023/02/01 01:08:27 - mmengine - INFO - Epoch(train) [60][ 740/1879] lr: 9.6806e-02 eta: 2 days, 4:21:26 time: 0.4875 data_time: 0.0363 memory: 18108 grad_norm: 2.9701 loss: 4.6576 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7009 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.9567 2023/02/01 01:08:37 - mmengine - INFO - Epoch(train) [60][ 760/1879] lr: 9.6804e-02 eta: 2 days, 4:21:15 time: 0.5039 data_time: 0.0359 memory: 18108 grad_norm: 2.9720 loss: 4.5840 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5586 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 2.0254 2023/02/01 01:08:48 - mmengine - INFO - Epoch(train) [60][ 780/1879] lr: 9.6801e-02 eta: 2 days, 4:21:06 time: 0.5208 data_time: 0.0394 memory: 18108 grad_norm: 2.9612 loss: 4.6787 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7646 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.9141 2023/02/01 01:08:58 - mmengine - INFO - Epoch(train) [60][ 800/1879] lr: 9.6798e-02 eta: 2 days, 4:20:55 time: 0.5033 data_time: 0.0359 memory: 18108 grad_norm: 3.0187 loss: 4.3830 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5418 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8412 2023/02/01 01:09:08 - mmengine - INFO - Epoch(train) [60][ 820/1879] lr: 9.6796e-02 eta: 2 days, 4:20:44 time: 0.4932 data_time: 0.0324 memory: 18108 grad_norm: 3.0170 loss: 4.7145 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7911 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9235 2023/02/01 01:09:18 - mmengine - INFO - Epoch(train) [60][ 840/1879] lr: 9.6793e-02 eta: 2 days, 4:20:34 time: 0.5111 data_time: 0.0348 memory: 18108 grad_norm: 2.9328 loss: 4.7744 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7937 top1_acc_1: 0.5176 top5_acc_1: 0.8588 loss_cls_1: 1.9807 2023/02/01 01:09:28 - mmengine - INFO - Epoch(train) [60][ 860/1879] lr: 9.6790e-02 eta: 2 days, 4:20:24 time: 0.5089 data_time: 0.0412 memory: 18108 grad_norm: 2.8861 loss: 4.7756 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8401 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9355 2023/02/01 01:09:38 - mmengine - INFO - Epoch(train) [60][ 880/1879] lr: 9.6788e-02 eta: 2 days, 4:20:12 time: 0.4970 data_time: 0.0358 memory: 18108 grad_norm: 2.9752 loss: 4.6180 top1_acc_0: 0.1250 top5_acc_0: 0.2500 loss_cls_0: 2.6869 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.9312 2023/02/01 01:09:48 - mmengine - INFO - Epoch(train) [60][ 900/1879] lr: 9.6785e-02 eta: 2 days, 4:20:02 time: 0.5027 data_time: 0.0323 memory: 18108 grad_norm: 2.9321 loss: 4.4734 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5816 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.8919 2023/02/01 01:09:58 - mmengine - INFO - Epoch(train) [60][ 920/1879] lr: 9.6782e-02 eta: 2 days, 4:19:51 time: 0.5000 data_time: 0.0402 memory: 18108 grad_norm: 2.9964 loss: 4.5965 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6705 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.9260 2023/02/01 01:10:08 - mmengine - INFO - Epoch(train) [60][ 940/1879] lr: 9.6780e-02 eta: 2 days, 4:19:40 time: 0.4993 data_time: 0.0335 memory: 18108 grad_norm: 2.9227 loss: 4.3356 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4480 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.8876 2023/02/01 01:10:18 - mmengine - INFO - Epoch(train) [60][ 960/1879] lr: 9.6777e-02 eta: 2 days, 4:19:30 time: 0.5124 data_time: 0.0349 memory: 18108 grad_norm: 2.9578 loss: 4.5098 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.5884 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9214 2023/02/01 01:10:28 - mmengine - INFO - Epoch(train) [60][ 980/1879] lr: 9.6774e-02 eta: 2 days, 4:19:19 time: 0.5030 data_time: 0.0393 memory: 18108 grad_norm: 2.9585 loss: 4.7773 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.8589 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.9184 2023/02/01 01:10:38 - mmengine - INFO - Epoch(train) [60][1000/1879] lr: 9.6772e-02 eta: 2 days, 4:19:09 time: 0.5025 data_time: 0.0341 memory: 18108 grad_norm: 2.9818 loss: 4.6050 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6484 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.9566 2023/02/01 01:10:48 - mmengine - INFO - Epoch(train) [60][1020/1879] lr: 9.6769e-02 eta: 2 days, 4:18:58 time: 0.4982 data_time: 0.0344 memory: 18108 grad_norm: 2.9641 loss: 4.8364 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7891 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 2.0473 2023/02/01 01:10:59 - mmengine - INFO - Epoch(train) [60][1040/1879] lr: 9.6766e-02 eta: 2 days, 4:18:48 time: 0.5139 data_time: 0.0355 memory: 18108 grad_norm: 2.9689 loss: 4.8671 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8998 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.9673 2023/02/01 01:11:09 - mmengine - INFO - Epoch(train) [60][1060/1879] lr: 9.6764e-02 eta: 2 days, 4:18:36 time: 0.4943 data_time: 0.0398 memory: 18108 grad_norm: 2.9920 loss: 4.8631 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.9952 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8678 2023/02/01 01:11:19 - mmengine - INFO - Epoch(train) [60][1080/1879] lr: 9.6761e-02 eta: 2 days, 4:18:26 time: 0.5129 data_time: 0.0328 memory: 18108 grad_norm: 2.9097 loss: 4.6498 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6736 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9762 2023/02/01 01:11:29 - mmengine - INFO - Epoch(train) [60][1100/1879] lr: 9.6758e-02 eta: 2 days, 4:18:16 time: 0.5112 data_time: 0.0343 memory: 18108 grad_norm: 2.9476 loss: 4.7688 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7922 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.9766 2023/02/01 01:11:39 - mmengine - INFO - Epoch(train) [60][1120/1879] lr: 9.6756e-02 eta: 2 days, 4:18:06 time: 0.5161 data_time: 0.0337 memory: 18108 grad_norm: 2.9842 loss: 4.6686 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7195 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9491 2023/02/01 01:11:49 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 01:11:50 - mmengine - INFO - Epoch(train) [60][1140/1879] lr: 9.6753e-02 eta: 2 days, 4:17:56 time: 0.5079 data_time: 0.0337 memory: 18108 grad_norm: 2.9538 loss: 4.6364 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7035 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9329 2023/02/01 01:12:00 - mmengine - INFO - Epoch(train) [60][1160/1879] lr: 9.6750e-02 eta: 2 days, 4:17:46 time: 0.5187 data_time: 0.0346 memory: 18108 grad_norm: 2.9581 loss: 4.6017 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6808 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.9209 2023/02/01 01:12:10 - mmengine - INFO - Epoch(train) [60][1180/1879] lr: 9.6748e-02 eta: 2 days, 4:17:36 time: 0.5124 data_time: 0.0339 memory: 18108 grad_norm: 2.9858 loss: 4.3815 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5297 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8518 2023/02/01 01:12:21 - mmengine - INFO - Epoch(train) [60][1200/1879] lr: 9.6745e-02 eta: 2 days, 4:17:26 time: 0.5157 data_time: 0.0337 memory: 18108 grad_norm: 2.9649 loss: 4.4122 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5168 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 1.8955 2023/02/01 01:12:31 - mmengine - INFO - Epoch(train) [60][1220/1879] lr: 9.6742e-02 eta: 2 days, 4:17:16 time: 0.5043 data_time: 0.0321 memory: 18108 grad_norm: 2.9721 loss: 4.8640 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8884 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.9755 2023/02/01 01:12:41 - mmengine - INFO - Epoch(train) [60][1240/1879] lr: 9.6740e-02 eta: 2 days, 4:17:07 time: 0.5256 data_time: 0.0350 memory: 18108 grad_norm: 3.0032 loss: 4.6849 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.7070 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 1.9778 2023/02/01 01:12:51 - mmengine - INFO - Epoch(train) [60][1260/1879] lr: 9.6737e-02 eta: 2 days, 4:16:57 time: 0.5117 data_time: 0.0383 memory: 18108 grad_norm: 2.9554 loss: 4.6337 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6779 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 1.9559 2023/02/01 01:13:02 - mmengine - INFO - Epoch(train) [60][1280/1879] lr: 9.6734e-02 eta: 2 days, 4:16:46 time: 0.5122 data_time: 0.0355 memory: 18108 grad_norm: 2.9695 loss: 4.4728 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5863 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.8865 2023/02/01 01:13:12 - mmengine - INFO - Epoch(train) [60][1300/1879] lr: 9.6732e-02 eta: 2 days, 4:16:35 time: 0.4978 data_time: 0.0310 memory: 18108 grad_norm: 2.8925 loss: 4.5396 top1_acc_0: 0.1250 top5_acc_0: 0.6875 loss_cls_0: 2.5947 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.9449 2023/02/01 01:13:22 - mmengine - INFO - Epoch(train) [60][1320/1879] lr: 9.6729e-02 eta: 2 days, 4:16:26 time: 0.5162 data_time: 0.0428 memory: 18108 grad_norm: 2.9921 loss: 4.5964 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6713 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.9251 2023/02/01 01:13:32 - mmengine - INFO - Epoch(train) [60][1340/1879] lr: 9.6726e-02 eta: 2 days, 4:16:14 time: 0.4912 data_time: 0.0312 memory: 18108 grad_norm: 2.8945 loss: 4.5416 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6071 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.9345 2023/02/01 01:13:42 - mmengine - INFO - Epoch(train) [60][1360/1879] lr: 9.6724e-02 eta: 2 days, 4:16:04 time: 0.5126 data_time: 0.0367 memory: 18108 grad_norm: 2.9953 loss: 4.9679 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8856 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 2.0823 2023/02/01 01:13:52 - mmengine - INFO - Epoch(train) [60][1380/1879] lr: 9.6721e-02 eta: 2 days, 4:15:53 time: 0.5027 data_time: 0.0310 memory: 18108 grad_norm: 2.9280 loss: 4.9626 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 3.0154 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9471 2023/02/01 01:14:02 - mmengine - INFO - Epoch(train) [60][1400/1879] lr: 9.6718e-02 eta: 2 days, 4:15:43 time: 0.5040 data_time: 0.0415 memory: 18108 grad_norm: 2.9342 loss: 4.6910 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.5915 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 2.0995 2023/02/01 01:14:12 - mmengine - INFO - Epoch(train) [60][1420/1879] lr: 9.6716e-02 eta: 2 days, 4:15:31 time: 0.4919 data_time: 0.0342 memory: 18108 grad_norm: 2.9479 loss: 4.6905 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.7566 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.9339 2023/02/01 01:14:22 - mmengine - INFO - Epoch(train) [60][1440/1879] lr: 9.6713e-02 eta: 2 days, 4:15:21 time: 0.5014 data_time: 0.0359 memory: 18108 grad_norm: 2.9214 loss: 4.4678 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4710 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9968 2023/02/01 01:14:32 - mmengine - INFO - Epoch(train) [60][1460/1879] lr: 9.6710e-02 eta: 2 days, 4:15:10 time: 0.5105 data_time: 0.0412 memory: 18108 grad_norm: 2.9199 loss: 4.4431 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5777 top1_acc_1: 0.4471 top5_acc_1: 0.7647 loss_cls_1: 1.8653 2023/02/01 01:14:42 - mmengine - INFO - Epoch(train) [60][1480/1879] lr: 9.6708e-02 eta: 2 days, 4:14:59 time: 0.4906 data_time: 0.0366 memory: 18108 grad_norm: 2.9948 loss: 4.5862 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6184 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9679 2023/02/01 01:14:52 - mmengine - INFO - Epoch(train) [60][1500/1879] lr: 9.6705e-02 eta: 2 days, 4:14:48 time: 0.5010 data_time: 0.0331 memory: 18108 grad_norm: 2.9633 loss: 4.7238 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7732 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.9507 2023/02/01 01:15:02 - mmengine - INFO - Epoch(train) [60][1520/1879] lr: 9.6702e-02 eta: 2 days, 4:14:37 time: 0.5030 data_time: 0.0342 memory: 18108 grad_norm: 2.9407 loss: 4.5495 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6724 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8770 2023/02/01 01:15:12 - mmengine - INFO - Epoch(train) [60][1540/1879] lr: 9.6700e-02 eta: 2 days, 4:14:26 time: 0.4982 data_time: 0.0323 memory: 18108 grad_norm: 2.9453 loss: 4.6269 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7128 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.9141 2023/02/01 01:15:22 - mmengine - INFO - Epoch(train) [60][1560/1879] lr: 9.6697e-02 eta: 2 days, 4:14:16 time: 0.5007 data_time: 0.0370 memory: 18108 grad_norm: 2.9713 loss: 4.7427 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7495 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.9932 2023/02/01 01:15:32 - mmengine - INFO - Epoch(train) [60][1580/1879] lr: 9.6694e-02 eta: 2 days, 4:14:05 time: 0.5006 data_time: 0.0325 memory: 18108 grad_norm: 2.9358 loss: 4.7343 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8005 top1_acc_1: 0.4471 top5_acc_1: 0.7294 loss_cls_1: 1.9338 2023/02/01 01:15:43 - mmengine - INFO - Epoch(train) [60][1600/1879] lr: 9.6691e-02 eta: 2 days, 4:13:55 time: 0.5125 data_time: 0.0433 memory: 18108 grad_norm: 2.9417 loss: 4.6762 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6983 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9779 2023/02/01 01:15:53 - mmengine - INFO - Epoch(train) [60][1620/1879] lr: 9.6689e-02 eta: 2 days, 4:13:44 time: 0.5081 data_time: 0.0337 memory: 18108 grad_norm: 2.9647 loss: 4.6680 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6941 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.9739 2023/02/01 01:16:02 - mmengine - INFO - Epoch(train) [60][1640/1879] lr: 9.6686e-02 eta: 2 days, 4:13:32 time: 0.4836 data_time: 0.0335 memory: 18108 grad_norm: 2.9282 loss: 4.5918 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6951 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.8968 2023/02/01 01:16:13 - mmengine - INFO - Epoch(train) [60][1660/1879] lr: 9.6683e-02 eta: 2 days, 4:13:23 time: 0.5144 data_time: 0.0397 memory: 18108 grad_norm: 2.9372 loss: 4.6764 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7974 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 1.8790 2023/02/01 01:16:23 - mmengine - INFO - Epoch(train) [60][1680/1879] lr: 9.6681e-02 eta: 2 days, 4:13:12 time: 0.5081 data_time: 0.0290 memory: 18108 grad_norm: 2.9262 loss: 4.4573 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4512 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 2.0061 2023/02/01 01:16:33 - mmengine - INFO - Epoch(train) [60][1700/1879] lr: 9.6678e-02 eta: 2 days, 4:13:02 time: 0.5096 data_time: 0.0376 memory: 18108 grad_norm: 2.9396 loss: 4.8911 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8261 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 2.0650 2023/02/01 01:16:43 - mmengine - INFO - Epoch(train) [60][1720/1879] lr: 9.6675e-02 eta: 2 days, 4:12:51 time: 0.5030 data_time: 0.0318 memory: 18108 grad_norm: 2.8919 loss: 4.4930 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5851 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.9079 2023/02/01 01:16:53 - mmengine - INFO - Epoch(train) [60][1740/1879] lr: 9.6673e-02 eta: 2 days, 4:12:41 time: 0.5054 data_time: 0.0440 memory: 18108 grad_norm: 2.9636 loss: 4.7323 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7318 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 2.0004 2023/02/01 01:17:04 - mmengine - INFO - Epoch(train) [60][1760/1879] lr: 9.6670e-02 eta: 2 days, 4:12:31 time: 0.5195 data_time: 0.0291 memory: 18108 grad_norm: 2.9468 loss: 4.7489 top1_acc_0: 0.0000 top5_acc_0: 0.4375 loss_cls_0: 2.8469 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 1.9020 2023/02/01 01:17:14 - mmengine - INFO - Epoch(train) [60][1780/1879] lr: 9.6667e-02 eta: 2 days, 4:12:22 time: 0.5212 data_time: 0.0338 memory: 18108 grad_norm: 2.9530 loss: 4.6634 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5368 top1_acc_1: 0.4706 top5_acc_1: 0.6588 loss_cls_1: 2.1266 2023/02/01 01:17:24 - mmengine - INFO - Epoch(train) [60][1800/1879] lr: 9.6664e-02 eta: 2 days, 4:12:12 time: 0.5207 data_time: 0.0357 memory: 18108 grad_norm: 2.8663 loss: 4.5675 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5427 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 2.0248 2023/02/01 01:17:35 - mmengine - INFO - Epoch(train) [60][1820/1879] lr: 9.6662e-02 eta: 2 days, 4:12:02 time: 0.5130 data_time: 0.0359 memory: 18108 grad_norm: 2.9120 loss: 4.5426 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5687 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.9738 2023/02/01 01:17:45 - mmengine - INFO - Epoch(train) [60][1840/1879] lr: 9.6659e-02 eta: 2 days, 4:11:53 time: 0.5238 data_time: 0.0315 memory: 18108 grad_norm: 2.9557 loss: 4.6689 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7223 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9466 2023/02/01 01:17:56 - mmengine - INFO - Epoch(train) [60][1860/1879] lr: 9.6656e-02 eta: 2 days, 4:11:44 time: 0.5233 data_time: 0.0438 memory: 18108 grad_norm: 2.9286 loss: 4.5761 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6914 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.8846 2023/02/01 01:18:05 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 01:18:05 - mmengine - INFO - Epoch(train) [60][1879/1879] lr: 9.6654e-02 eta: 2 days, 4:11:33 time: 0.4928 data_time: 0.0266 memory: 18108 grad_norm: 3.0193 loss: 4.7859 top1_acc_0: 0.2857 top5_acc_0: 0.4286 loss_cls_0: 2.8906 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.8953 2023/02/01 01:18:06 - mmengine - INFO - Saving checkpoint at 60 epochs 2023/02/01 01:18:16 - mmengine - INFO - Epoch(val) [60][ 20/155] eta: 0:01:01 time: 0.4585 data_time: 0.3465 memory: 1906 2023/02/01 01:18:25 - mmengine - INFO - Epoch(val) [60][ 40/155] eta: 0:00:51 time: 0.4440 data_time: 0.3328 memory: 1906 2023/02/01 01:18:33 - mmengine - INFO - Epoch(val) [60][ 60/155] eta: 0:00:42 time: 0.4266 data_time: 0.3108 memory: 1906 2023/02/01 01:18:43 - mmengine - INFO - Epoch(val) [60][ 80/155] eta: 0:00:33 time: 0.4565 data_time: 0.3459 memory: 1906 2023/02/01 01:18:52 - mmengine - INFO - Epoch(val) [60][100/155] eta: 0:00:24 time: 0.4474 data_time: 0.3369 memory: 1906 2023/02/01 01:19:01 - mmengine - INFO - Epoch(val) [60][120/155] eta: 0:00:15 time: 0.4600 data_time: 0.3497 memory: 1906 2023/02/01 01:19:09 - mmengine - INFO - Epoch(val) [60][140/155] eta: 0:00:06 time: 0.4344 data_time: 0.3234 memory: 1906 2023/02/01 01:19:17 - mmengine - INFO - Epoch(val) [60][155/155] acc/top1: 0.4134 acc/top5: 0.6760 acc/mean1: 0.4132 2023/02/01 01:19:31 - mmengine - INFO - Epoch(train) [61][ 20/1879] lr: 9.6651e-02 eta: 2 days, 4:11:36 time: 0.7149 data_time: 0.2605 memory: 18108 grad_norm: 2.9940 loss: 4.6586 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8069 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.8517 2023/02/01 01:19:41 - mmengine - INFO - Epoch(train) [61][ 40/1879] lr: 9.6648e-02 eta: 2 days, 4:11:23 time: 0.4717 data_time: 0.0328 memory: 18108 grad_norm: 2.9237 loss: 4.4234 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.5264 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8970 2023/02/01 01:19:50 - mmengine - INFO - Epoch(train) [61][ 60/1879] lr: 9.6646e-02 eta: 2 days, 4:11:11 time: 0.4763 data_time: 0.0366 memory: 18108 grad_norm: 2.9440 loss: 4.6374 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6712 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9661 2023/02/01 01:20:01 - mmengine - INFO - Epoch(train) [61][ 80/1879] lr: 9.6643e-02 eta: 2 days, 4:11:01 time: 0.5123 data_time: 0.0425 memory: 18108 grad_norm: 2.9928 loss: 4.5315 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6021 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.9294 2023/02/01 01:20:10 - mmengine - INFO - Epoch(train) [61][ 100/1879] lr: 9.6640e-02 eta: 2 days, 4:10:49 time: 0.4846 data_time: 0.0363 memory: 18108 grad_norm: 2.9986 loss: 4.3627 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4928 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.8699 2023/02/01 01:20:20 - mmengine - INFO - Epoch(train) [61][ 120/1879] lr: 9.6637e-02 eta: 2 days, 4:10:36 time: 0.4775 data_time: 0.0337 memory: 18108 grad_norm: 2.9421 loss: 4.5934 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.6527 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.9407 2023/02/01 01:20:30 - mmengine - INFO - Epoch(train) [61][ 140/1879] lr: 9.6635e-02 eta: 2 days, 4:10:25 time: 0.4927 data_time: 0.0351 memory: 18108 grad_norm: 2.9715 loss: 4.4180 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4689 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.9492 2023/02/01 01:20:40 - mmengine - INFO - Epoch(train) [61][ 160/1879] lr: 9.6632e-02 eta: 2 days, 4:10:15 time: 0.5082 data_time: 0.0377 memory: 18108 grad_norm: 2.9576 loss: 4.5343 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6968 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.8375 2023/02/01 01:20:50 - mmengine - INFO - Epoch(train) [61][ 180/1879] lr: 9.6629e-02 eta: 2 days, 4:10:03 time: 0.4797 data_time: 0.0333 memory: 18108 grad_norm: 2.9315 loss: 4.4027 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5680 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.8347 2023/02/01 01:20:59 - mmengine - INFO - Epoch(train) [61][ 200/1879] lr: 9.6627e-02 eta: 2 days, 4:09:50 time: 0.4749 data_time: 0.0314 memory: 18108 grad_norm: 2.8821 loss: 4.6480 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6099 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.0381 2023/02/01 01:21:09 - mmengine - INFO - Epoch(train) [61][ 220/1879] lr: 9.6624e-02 eta: 2 days, 4:09:40 time: 0.5167 data_time: 0.0352 memory: 18108 grad_norm: 2.9242 loss: 4.6831 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.7566 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.9265 2023/02/01 01:21:19 - mmengine - INFO - Epoch(train) [61][ 240/1879] lr: 9.6621e-02 eta: 2 days, 4:09:29 time: 0.4965 data_time: 0.0386 memory: 18108 grad_norm: 2.9513 loss: 4.5916 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6977 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.8939 2023/02/01 01:21:29 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 01:21:29 - mmengine - INFO - Epoch(train) [61][ 260/1879] lr: 9.6618e-02 eta: 2 days, 4:09:17 time: 0.4800 data_time: 0.0339 memory: 18108 grad_norm: 2.9225 loss: 4.7037 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7799 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9238 2023/02/01 01:21:39 - mmengine - INFO - Epoch(train) [61][ 280/1879] lr: 9.6616e-02 eta: 2 days, 4:09:05 time: 0.4840 data_time: 0.0310 memory: 18108 grad_norm: 2.9175 loss: 4.6987 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7183 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.9805 2023/02/01 01:21:49 - mmengine - INFO - Epoch(train) [61][ 300/1879] lr: 9.6613e-02 eta: 2 days, 4:08:54 time: 0.4984 data_time: 0.0345 memory: 18108 grad_norm: 2.9718 loss: 4.6672 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.7191 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.9481 2023/02/01 01:21:58 - mmengine - INFO - Epoch(train) [61][ 320/1879] lr: 9.6610e-02 eta: 2 days, 4:08:43 time: 0.4899 data_time: 0.0328 memory: 18108 grad_norm: 2.9842 loss: 4.5414 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 2.6712 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.8702 2023/02/01 01:22:08 - mmengine - INFO - Epoch(train) [61][ 340/1879] lr: 9.6608e-02 eta: 2 days, 4:08:31 time: 0.4940 data_time: 0.0425 memory: 18108 grad_norm: 3.0215 loss: 4.7477 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8310 top1_acc_1: 0.6235 top5_acc_1: 0.7412 loss_cls_1: 1.9167 2023/02/01 01:22:18 - mmengine - INFO - Epoch(train) [61][ 360/1879] lr: 9.6605e-02 eta: 2 days, 4:08:20 time: 0.4965 data_time: 0.0326 memory: 18108 grad_norm: 2.9841 loss: 4.5342 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6165 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.9177 2023/02/01 01:22:28 - mmengine - INFO - Epoch(train) [61][ 380/1879] lr: 9.6602e-02 eta: 2 days, 4:08:09 time: 0.4944 data_time: 0.0316 memory: 18108 grad_norm: 2.9230 loss: 4.6963 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7816 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.9146 2023/02/01 01:22:38 - mmengine - INFO - Epoch(train) [61][ 400/1879] lr: 9.6599e-02 eta: 2 days, 4:07:58 time: 0.5019 data_time: 0.0318 memory: 18108 grad_norm: 2.9692 loss: 4.5767 top1_acc_0: 0.3125 top5_acc_0: 0.8750 loss_cls_0: 2.6633 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.9134 2023/02/01 01:22:48 - mmengine - INFO - Epoch(train) [61][ 420/1879] lr: 9.6597e-02 eta: 2 days, 4:07:48 time: 0.5071 data_time: 0.0345 memory: 18108 grad_norm: 2.9874 loss: 4.6485 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6568 top1_acc_1: 0.4706 top5_acc_1: 0.7882 loss_cls_1: 1.9916 2023/02/01 01:22:58 - mmengine - INFO - Epoch(train) [61][ 440/1879] lr: 9.6594e-02 eta: 2 days, 4:07:38 time: 0.5074 data_time: 0.0318 memory: 18108 grad_norm: 2.9943 loss: 4.5559 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6153 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.9406 2023/02/01 01:23:08 - mmengine - INFO - Epoch(train) [61][ 460/1879] lr: 9.6591e-02 eta: 2 days, 4:07:26 time: 0.4852 data_time: 0.0360 memory: 18108 grad_norm: 2.9418 loss: 4.5880 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6515 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.9365 2023/02/01 01:23:18 - mmengine - INFO - Epoch(train) [61][ 480/1879] lr: 9.6588e-02 eta: 2 days, 4:07:14 time: 0.4872 data_time: 0.0320 memory: 18108 grad_norm: 2.9510 loss: 4.6692 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6811 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9882 2023/02/01 01:23:28 - mmengine - INFO - Epoch(train) [61][ 500/1879] lr: 9.6586e-02 eta: 2 days, 4:07:03 time: 0.5037 data_time: 0.0398 memory: 18108 grad_norm: 2.9488 loss: 4.5234 top1_acc_0: 0.1875 top5_acc_0: 0.7500 loss_cls_0: 2.7033 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.8201 2023/02/01 01:23:38 - mmengine - INFO - Epoch(train) [61][ 520/1879] lr: 9.6583e-02 eta: 2 days, 4:06:53 time: 0.5089 data_time: 0.0294 memory: 18108 grad_norm: 2.9515 loss: 4.6785 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8034 top1_acc_1: 0.5647 top5_acc_1: 0.7176 loss_cls_1: 1.8751 2023/02/01 01:23:48 - mmengine - INFO - Epoch(train) [61][ 540/1879] lr: 9.6580e-02 eta: 2 days, 4:06:42 time: 0.5033 data_time: 0.0361 memory: 18108 grad_norm: 2.9786 loss: 4.6348 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6269 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 2.0079 2023/02/01 01:23:59 - mmengine - INFO - Epoch(train) [61][ 560/1879] lr: 9.6577e-02 eta: 2 days, 4:06:34 time: 0.5379 data_time: 0.0336 memory: 18108 grad_norm: 3.0113 loss: 4.5327 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6204 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.9122 2023/02/01 01:24:10 - mmengine - INFO - Epoch(train) [61][ 580/1879] lr: 9.6575e-02 eta: 2 days, 4:06:25 time: 0.5275 data_time: 0.0365 memory: 18108 grad_norm: 2.9480 loss: 4.7210 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8314 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.8896 2023/02/01 01:24:20 - mmengine - INFO - Epoch(train) [61][ 600/1879] lr: 9.6572e-02 eta: 2 days, 4:06:15 time: 0.5115 data_time: 0.0295 memory: 18108 grad_norm: 2.9626 loss: 4.6580 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7430 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9149 2023/02/01 01:24:30 - mmengine - INFO - Epoch(train) [61][ 620/1879] lr: 9.6569e-02 eta: 2 days, 4:06:05 time: 0.5147 data_time: 0.0409 memory: 18108 grad_norm: 2.9459 loss: 4.3633 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5213 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.8420 2023/02/01 01:24:41 - mmengine - INFO - Epoch(train) [61][ 640/1879] lr: 9.6567e-02 eta: 2 days, 4:05:56 time: 0.5302 data_time: 0.0304 memory: 18108 grad_norm: 2.9445 loss: 4.5955 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.7053 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8902 2023/02/01 01:24:51 - mmengine - INFO - Epoch(train) [61][ 660/1879] lr: 9.6564e-02 eta: 2 days, 4:05:46 time: 0.5118 data_time: 0.0383 memory: 18108 grad_norm: 2.9885 loss: 4.7230 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7770 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.9460 2023/02/01 01:25:01 - mmengine - INFO - Epoch(train) [61][ 680/1879] lr: 9.6561e-02 eta: 2 days, 4:05:36 time: 0.5082 data_time: 0.0298 memory: 18108 grad_norm: 2.9872 loss: 4.5951 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6490 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.9461 2023/02/01 01:25:12 - mmengine - INFO - Epoch(train) [61][ 700/1879] lr: 9.6558e-02 eta: 2 days, 4:05:26 time: 0.5191 data_time: 0.0448 memory: 18108 grad_norm: 2.9312 loss: 4.6883 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7511 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.9372 2023/02/01 01:25:22 - mmengine - INFO - Epoch(train) [61][ 720/1879] lr: 9.6556e-02 eta: 2 days, 4:05:16 time: 0.5144 data_time: 0.0284 memory: 18108 grad_norm: 3.0147 loss: 4.5948 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6022 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 1.9926 2023/02/01 01:25:32 - mmengine - INFO - Epoch(train) [61][ 740/1879] lr: 9.6553e-02 eta: 2 days, 4:05:05 time: 0.5020 data_time: 0.0351 memory: 18108 grad_norm: 2.9236 loss: 4.5249 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5749 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.9500 2023/02/01 01:25:42 - mmengine - INFO - Epoch(train) [61][ 760/1879] lr: 9.6550e-02 eta: 2 days, 4:04:55 time: 0.5078 data_time: 0.0341 memory: 18108 grad_norm: 2.9768 loss: 4.4580 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6495 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 1.8085 2023/02/01 01:25:52 - mmengine - INFO - Epoch(train) [61][ 780/1879] lr: 9.6547e-02 eta: 2 days, 4:04:45 time: 0.5146 data_time: 0.0354 memory: 18108 grad_norm: 2.9554 loss: 4.5024 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5629 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9395 2023/02/01 01:26:03 - mmengine - INFO - Epoch(train) [61][ 800/1879] lr: 9.6545e-02 eta: 2 days, 4:04:35 time: 0.5120 data_time: 0.0300 memory: 18108 grad_norm: 2.9846 loss: 4.7864 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 2.8920 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8944 2023/02/01 01:26:13 - mmengine - INFO - Epoch(train) [61][ 820/1879] lr: 9.6542e-02 eta: 2 days, 4:04:24 time: 0.5054 data_time: 0.0419 memory: 18108 grad_norm: 2.8714 loss: 4.4852 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5769 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9083 2023/02/01 01:26:23 - mmengine - INFO - Epoch(train) [61][ 840/1879] lr: 9.6539e-02 eta: 2 days, 4:04:14 time: 0.5070 data_time: 0.0295 memory: 18108 grad_norm: 2.9403 loss: 4.7720 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8462 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.9258 2023/02/01 01:26:33 - mmengine - INFO - Epoch(train) [61][ 860/1879] lr: 9.6536e-02 eta: 2 days, 4:04:04 time: 0.5196 data_time: 0.0338 memory: 18108 grad_norm: 2.9997 loss: 4.4416 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5393 top1_acc_1: 0.5294 top5_acc_1: 0.8471 loss_cls_1: 1.9023 2023/02/01 01:26:43 - mmengine - INFO - Epoch(train) [61][ 880/1879] lr: 9.6534e-02 eta: 2 days, 4:03:54 time: 0.5066 data_time: 0.0339 memory: 18108 grad_norm: 2.9874 loss: 4.6354 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7305 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.9049 2023/02/01 01:26:53 - mmengine - INFO - Epoch(train) [61][ 900/1879] lr: 9.6531e-02 eta: 2 days, 4:03:43 time: 0.5031 data_time: 0.0342 memory: 18108 grad_norm: 2.9694 loss: 4.6472 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6367 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0105 2023/02/01 01:27:04 - mmengine - INFO - Epoch(train) [61][ 920/1879] lr: 9.6528e-02 eta: 2 days, 4:03:33 time: 0.5068 data_time: 0.0286 memory: 18108 grad_norm: 2.9304 loss: 4.5063 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6594 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8469 2023/02/01 01:27:14 - mmengine - INFO - Epoch(train) [61][ 940/1879] lr: 9.6525e-02 eta: 2 days, 4:03:23 time: 0.5088 data_time: 0.0432 memory: 18108 grad_norm: 2.9547 loss: 4.6975 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7061 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.9913 2023/02/01 01:27:24 - mmengine - INFO - Epoch(train) [61][ 960/1879] lr: 9.6523e-02 eta: 2 days, 4:03:12 time: 0.5052 data_time: 0.0296 memory: 18108 grad_norm: 2.9266 loss: 4.5007 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.5609 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.9398 2023/02/01 01:27:34 - mmengine - INFO - Epoch(train) [61][ 980/1879] lr: 9.6520e-02 eta: 2 days, 4:03:02 time: 0.5087 data_time: 0.0380 memory: 18108 grad_norm: 2.9262 loss: 4.7150 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.7720 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.9430 2023/02/01 01:27:44 - mmengine - INFO - Epoch(train) [61][1000/1879] lr: 9.6517e-02 eta: 2 days, 4:02:52 time: 0.5170 data_time: 0.0299 memory: 18108 grad_norm: 2.9772 loss: 4.5209 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6181 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.9028 2023/02/01 01:27:54 - mmengine - INFO - Epoch(train) [61][1020/1879] lr: 9.6514e-02 eta: 2 days, 4:02:41 time: 0.5002 data_time: 0.0416 memory: 18108 grad_norm: 2.9406 loss: 4.7115 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6727 top1_acc_1: 0.4941 top5_acc_1: 0.6824 loss_cls_1: 2.0389 2023/02/01 01:28:05 - mmengine - INFO - Epoch(train) [61][1040/1879] lr: 9.6511e-02 eta: 2 days, 4:02:30 time: 0.5017 data_time: 0.0289 memory: 18108 grad_norm: 2.9284 loss: 4.2600 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3586 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.9014 2023/02/01 01:28:15 - mmengine - INFO - Epoch(train) [61][1060/1879] lr: 9.6509e-02 eta: 2 days, 4:02:20 time: 0.5124 data_time: 0.0358 memory: 18108 grad_norm: 2.9609 loss: 4.6902 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8092 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.8810 2023/02/01 01:28:25 - mmengine - INFO - Epoch(train) [61][1080/1879] lr: 9.6506e-02 eta: 2 days, 4:02:10 time: 0.5068 data_time: 0.0391 memory: 18108 grad_norm: 3.0168 loss: 4.7228 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7702 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.9527 2023/02/01 01:28:35 - mmengine - INFO - Epoch(train) [61][1100/1879] lr: 9.6503e-02 eta: 2 days, 4:01:58 time: 0.4861 data_time: 0.0351 memory: 18108 grad_norm: 2.9511 loss: 4.4444 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5026 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 1.9418 2023/02/01 01:28:45 - mmengine - INFO - Epoch(train) [61][1120/1879] lr: 9.6500e-02 eta: 2 days, 4:01:49 time: 0.5214 data_time: 0.0308 memory: 18108 grad_norm: 2.9422 loss: 4.5266 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5322 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.9944 2023/02/01 01:28:55 - mmengine - INFO - Epoch(train) [61][1140/1879] lr: 9.6498e-02 eta: 2 days, 4:01:38 time: 0.5052 data_time: 0.0418 memory: 18108 grad_norm: 2.9528 loss: 4.7520 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.8684 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8836 2023/02/01 01:29:05 - mmengine - INFO - Epoch(train) [61][1160/1879] lr: 9.6495e-02 eta: 2 days, 4:01:27 time: 0.4985 data_time: 0.0322 memory: 18108 grad_norm: 2.8985 loss: 4.5889 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5947 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.9942 2023/02/01 01:29:15 - mmengine - INFO - Epoch(train) [61][1180/1879] lr: 9.6492e-02 eta: 2 days, 4:01:17 time: 0.5028 data_time: 0.0336 memory: 18108 grad_norm: 2.9634 loss: 4.6671 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8002 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8668 2023/02/01 01:29:26 - mmengine - INFO - Epoch(train) [61][1200/1879] lr: 9.6489e-02 eta: 2 days, 4:01:07 time: 0.5211 data_time: 0.0317 memory: 18108 grad_norm: 2.9494 loss: 4.4831 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5633 top1_acc_1: 0.5647 top5_acc_1: 0.7176 loss_cls_1: 1.9198 2023/02/01 01:29:36 - mmengine - INFO - Epoch(train) [61][1220/1879] lr: 9.6487e-02 eta: 2 days, 4:00:56 time: 0.4983 data_time: 0.0429 memory: 18108 grad_norm: 2.9901 loss: 4.7142 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.7550 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 1.9591 2023/02/01 01:29:46 - mmengine - INFO - Epoch(train) [61][1240/1879] lr: 9.6484e-02 eta: 2 days, 4:00:46 time: 0.5043 data_time: 0.0308 memory: 18108 grad_norm: 2.9587 loss: 4.7621 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8317 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9304 2023/02/01 01:29:56 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 01:29:56 - mmengine - INFO - Epoch(train) [61][1260/1879] lr: 9.6481e-02 eta: 2 days, 4:00:37 time: 0.5288 data_time: 0.0314 memory: 18108 grad_norm: 2.9566 loss: 4.6333 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 2.6678 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.9655 2023/02/01 01:30:07 - mmengine - INFO - Epoch(train) [61][1280/1879] lr: 9.6478e-02 eta: 2 days, 4:00:27 time: 0.5139 data_time: 0.0395 memory: 18108 grad_norm: 2.9081 loss: 4.4829 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.5089 top1_acc_1: 0.4941 top5_acc_1: 0.6824 loss_cls_1: 1.9740 2023/02/01 01:30:17 - mmengine - INFO - Epoch(train) [61][1300/1879] lr: 9.6475e-02 eta: 2 days, 4:00:16 time: 0.5062 data_time: 0.0332 memory: 18108 grad_norm: 2.9525 loss: 4.5182 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6283 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8899 2023/02/01 01:30:27 - mmengine - INFO - Epoch(train) [61][1320/1879] lr: 9.6473e-02 eta: 2 days, 4:00:06 time: 0.5143 data_time: 0.0320 memory: 18108 grad_norm: 3.0016 loss: 4.8415 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8380 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.0035 2023/02/01 01:30:38 - mmengine - INFO - Epoch(train) [61][1340/1879] lr: 9.6470e-02 eta: 2 days, 3:59:57 time: 0.5247 data_time: 0.0420 memory: 18108 grad_norm: 2.9475 loss: 4.6661 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6567 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 2.0094 2023/02/01 01:30:48 - mmengine - INFO - Epoch(train) [61][1360/1879] lr: 9.6467e-02 eta: 2 days, 3:59:47 time: 0.5074 data_time: 0.0323 memory: 18108 grad_norm: 2.9143 loss: 4.5372 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6361 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9011 2023/02/01 01:30:58 - mmengine - INFO - Epoch(train) [61][1380/1879] lr: 9.6464e-02 eta: 2 days, 3:59:36 time: 0.5023 data_time: 0.0328 memory: 18108 grad_norm: 2.9049 loss: 4.6923 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7939 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.8984 2023/02/01 01:31:08 - mmengine - INFO - Epoch(train) [61][1400/1879] lr: 9.6462e-02 eta: 2 days, 3:59:26 time: 0.5191 data_time: 0.0313 memory: 18108 grad_norm: 2.9420 loss: 4.6927 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7299 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.9628 2023/02/01 01:31:19 - mmengine - INFO - Epoch(train) [61][1420/1879] lr: 9.6459e-02 eta: 2 days, 3:59:18 time: 0.5367 data_time: 0.0404 memory: 18108 grad_norm: 2.9713 loss: 4.6047 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5463 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0584 2023/02/01 01:31:29 - mmengine - INFO - Epoch(train) [61][1440/1879] lr: 9.6456e-02 eta: 2 days, 3:59:08 time: 0.5148 data_time: 0.0309 memory: 18108 grad_norm: 2.9271 loss: 4.8289 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.9723 top1_acc_1: 0.6471 top5_acc_1: 0.7529 loss_cls_1: 1.8566 2023/02/01 01:31:40 - mmengine - INFO - Epoch(train) [61][1460/1879] lr: 9.6453e-02 eta: 2 days, 3:58:58 time: 0.5206 data_time: 0.0342 memory: 18108 grad_norm: 2.9230 loss: 4.5731 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7120 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.8611 2023/02/01 01:31:50 - mmengine - INFO - Epoch(train) [61][1480/1879] lr: 9.6450e-02 eta: 2 days, 3:58:50 time: 0.5355 data_time: 0.0327 memory: 18108 grad_norm: 2.9223 loss: 4.5509 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6395 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 1.9113 2023/02/01 01:32:00 - mmengine - INFO - Epoch(train) [61][1500/1879] lr: 9.6448e-02 eta: 2 days, 3:58:39 time: 0.5080 data_time: 0.0350 memory: 18108 grad_norm: 2.9769 loss: 4.7230 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7808 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.9422 2023/02/01 01:32:11 - mmengine - INFO - Epoch(train) [61][1520/1879] lr: 9.6445e-02 eta: 2 days, 3:58:30 time: 0.5230 data_time: 0.0293 memory: 18108 grad_norm: 2.9277 loss: 4.6182 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7296 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8887 2023/02/01 01:32:22 - mmengine - INFO - Epoch(train) [61][1540/1879] lr: 9.6442e-02 eta: 2 days, 3:58:21 time: 0.5284 data_time: 0.0413 memory: 18108 grad_norm: 2.9656 loss: 4.8881 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.9489 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.9392 2023/02/01 01:32:32 - mmengine - INFO - Epoch(train) [61][1560/1879] lr: 9.6439e-02 eta: 2 days, 3:58:11 time: 0.5192 data_time: 0.0299 memory: 18108 grad_norm: 2.8892 loss: 4.5340 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6329 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9012 2023/02/01 01:32:42 - mmengine - INFO - Epoch(train) [61][1580/1879] lr: 9.6436e-02 eta: 2 days, 3:58:01 time: 0.5136 data_time: 0.0370 memory: 18108 grad_norm: 2.9150 loss: 4.5912 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6184 top1_acc_1: 0.6235 top5_acc_1: 0.7529 loss_cls_1: 1.9729 2023/02/01 01:32:53 - mmengine - INFO - Epoch(train) [61][1600/1879] lr: 9.6434e-02 eta: 2 days, 3:57:52 time: 0.5283 data_time: 0.0285 memory: 18108 grad_norm: 2.9496 loss: 4.4954 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5674 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9280 2023/02/01 01:33:03 - mmengine - INFO - Epoch(train) [61][1620/1879] lr: 9.6431e-02 eta: 2 days, 3:57:43 time: 0.5251 data_time: 0.0441 memory: 18108 grad_norm: 3.0238 loss: 4.5969 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6619 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9349 2023/02/01 01:33:14 - mmengine - INFO - Epoch(train) [61][1640/1879] lr: 9.6428e-02 eta: 2 days, 3:57:33 time: 0.5123 data_time: 0.0314 memory: 18108 grad_norm: 2.9193 loss: 4.8049 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.7640 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 2.0409 2023/02/01 01:33:24 - mmengine - INFO - Epoch(train) [61][1660/1879] lr: 9.6425e-02 eta: 2 days, 3:57:22 time: 0.5026 data_time: 0.0344 memory: 18108 grad_norm: 2.9466 loss: 4.4662 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5797 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.8865 2023/02/01 01:33:34 - mmengine - INFO - Epoch(train) [61][1680/1879] lr: 9.6422e-02 eta: 2 days, 3:57:13 time: 0.5295 data_time: 0.0421 memory: 18108 grad_norm: 2.9918 loss: 4.6750 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6479 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 2.0271 2023/02/01 01:33:44 - mmengine - INFO - Epoch(train) [61][1700/1879] lr: 9.6420e-02 eta: 2 days, 3:57:02 time: 0.4889 data_time: 0.0358 memory: 18108 grad_norm: 2.9370 loss: 4.6503 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7154 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9350 2023/02/01 01:33:54 - mmengine - INFO - Epoch(train) [61][1720/1879] lr: 9.6417e-02 eta: 2 days, 3:56:51 time: 0.5041 data_time: 0.0286 memory: 18108 grad_norm: 2.9644 loss: 4.5407 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6159 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.9249 2023/02/01 01:34:04 - mmengine - INFO - Epoch(train) [61][1740/1879] lr: 9.6414e-02 eta: 2 days, 3:56:42 time: 0.5184 data_time: 0.0374 memory: 18108 grad_norm: 2.9896 loss: 4.5275 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5046 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.0229 2023/02/01 01:34:15 - mmengine - INFO - Epoch(train) [61][1760/1879] lr: 9.6411e-02 eta: 2 days, 3:56:31 time: 0.5058 data_time: 0.0271 memory: 18108 grad_norm: 2.8456 loss: 4.8439 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8955 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.9484 2023/02/01 01:34:25 - mmengine - INFO - Epoch(train) [61][1780/1879] lr: 9.6408e-02 eta: 2 days, 3:56:20 time: 0.4994 data_time: 0.0355 memory: 18108 grad_norm: 2.9121 loss: 4.5893 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.7483 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8410 2023/02/01 01:34:35 - mmengine - INFO - Epoch(train) [61][1800/1879] lr: 9.6406e-02 eta: 2 days, 3:56:09 time: 0.4989 data_time: 0.0290 memory: 18108 grad_norm: 2.9201 loss: 4.6256 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.7264 top1_acc_1: 0.4471 top5_acc_1: 0.6706 loss_cls_1: 1.8992 2023/02/01 01:34:45 - mmengine - INFO - Epoch(train) [61][1820/1879] lr: 9.6403e-02 eta: 2 days, 3:55:59 time: 0.5098 data_time: 0.0421 memory: 18108 grad_norm: 2.8870 loss: 4.6908 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7773 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.9135 2023/02/01 01:34:55 - mmengine - INFO - Epoch(train) [61][1840/1879] lr: 9.6400e-02 eta: 2 days, 3:55:48 time: 0.5006 data_time: 0.0278 memory: 18108 grad_norm: 2.8881 loss: 4.7110 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7971 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9138 2023/02/01 01:35:05 - mmengine - INFO - Epoch(train) [61][1860/1879] lr: 9.6397e-02 eta: 2 days, 3:55:37 time: 0.4919 data_time: 0.0346 memory: 18108 grad_norm: 2.9318 loss: 4.5968 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6776 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.9193 2023/02/01 01:35:14 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 01:35:14 - mmengine - INFO - Epoch(train) [61][1879/1879] lr: 9.6395e-02 eta: 2 days, 3:55:26 time: 0.4951 data_time: 0.0335 memory: 18108 grad_norm: 3.0080 loss: 4.5610 top1_acc_0: 0.2857 top5_acc_0: 0.5714 loss_cls_0: 2.6271 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9339 2023/02/01 01:35:29 - mmengine - INFO - Epoch(train) [62][ 20/1879] lr: 9.6392e-02 eta: 2 days, 3:55:29 time: 0.7146 data_time: 0.2419 memory: 18108 grad_norm: 2.8980 loss: 4.5122 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5177 top1_acc_1: 0.5176 top5_acc_1: 0.8588 loss_cls_1: 1.9945 2023/02/01 01:35:39 - mmengine - INFO - Epoch(train) [62][ 40/1879] lr: 9.6389e-02 eta: 2 days, 3:55:16 time: 0.4697 data_time: 0.0298 memory: 18108 grad_norm: 2.9753 loss: 4.6913 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8342 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.8571 2023/02/01 01:35:48 - mmengine - INFO - Epoch(train) [62][ 60/1879] lr: 9.6386e-02 eta: 2 days, 3:55:05 time: 0.4880 data_time: 0.0358 memory: 18108 grad_norm: 2.9179 loss: 4.4284 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5777 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.8507 2023/02/01 01:35:58 - mmengine - INFO - Epoch(train) [62][ 80/1879] lr: 9.6383e-02 eta: 2 days, 3:54:54 time: 0.5019 data_time: 0.0302 memory: 18108 grad_norm: 2.9705 loss: 4.7566 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8313 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9253 2023/02/01 01:36:08 - mmengine - INFO - Epoch(train) [62][ 100/1879] lr: 9.6381e-02 eta: 2 days, 3:54:42 time: 0.4825 data_time: 0.0400 memory: 18108 grad_norm: 3.0023 loss: 4.7586 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8537 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 1.9048 2023/02/01 01:36:17 - mmengine - INFO - Epoch(train) [62][ 120/1879] lr: 9.6378e-02 eta: 2 days, 3:54:29 time: 0.4693 data_time: 0.0296 memory: 18108 grad_norm: 2.9600 loss: 4.7124 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7330 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9794 2023/02/01 01:36:27 - mmengine - INFO - Epoch(train) [62][ 140/1879] lr: 9.6375e-02 eta: 2 days, 3:54:19 time: 0.5024 data_time: 0.0441 memory: 18108 grad_norm: 2.9435 loss: 4.5425 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 2.6100 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.9325 2023/02/01 01:36:37 - mmengine - INFO - Epoch(train) [62][ 160/1879] lr: 9.6372e-02 eta: 2 days, 3:54:08 time: 0.4965 data_time: 0.0270 memory: 18108 grad_norm: 3.0407 loss: 4.2722 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3641 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9081 2023/02/01 01:36:47 - mmengine - INFO - Epoch(train) [62][ 180/1879] lr: 9.6369e-02 eta: 2 days, 3:53:55 time: 0.4813 data_time: 0.0383 memory: 18108 grad_norm: 2.9879 loss: 4.4511 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4701 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 1.9810 2023/02/01 01:36:57 - mmengine - INFO - Epoch(train) [62][ 200/1879] lr: 9.6366e-02 eta: 2 days, 3:53:43 time: 0.4765 data_time: 0.0311 memory: 18108 grad_norm: 2.9820 loss: 4.6086 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6164 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9922 2023/02/01 01:37:06 - mmengine - INFO - Epoch(train) [62][ 220/1879] lr: 9.6364e-02 eta: 2 days, 3:53:32 time: 0.4914 data_time: 0.0366 memory: 18108 grad_norm: 3.0120 loss: 4.4967 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5652 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.9316 2023/02/01 01:37:16 - mmengine - INFO - Epoch(train) [62][ 240/1879] lr: 9.6361e-02 eta: 2 days, 3:53:20 time: 0.4789 data_time: 0.0292 memory: 18108 grad_norm: 2.9459 loss: 4.7369 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7989 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.9380 2023/02/01 01:37:26 - mmengine - INFO - Epoch(train) [62][ 260/1879] lr: 9.6358e-02 eta: 2 days, 3:53:08 time: 0.4864 data_time: 0.0380 memory: 18108 grad_norm: 2.9757 loss: 4.6537 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6944 top1_acc_1: 0.4941 top5_acc_1: 0.6824 loss_cls_1: 1.9593 2023/02/01 01:37:35 - mmengine - INFO - Epoch(train) [62][ 280/1879] lr: 9.6355e-02 eta: 2 days, 3:52:56 time: 0.4805 data_time: 0.0362 memory: 18108 grad_norm: 2.9301 loss: 4.4117 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.5109 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.9008 2023/02/01 01:37:45 - mmengine - INFO - Epoch(train) [62][ 300/1879] lr: 9.6352e-02 eta: 2 days, 3:52:44 time: 0.4939 data_time: 0.0376 memory: 18108 grad_norm: 2.9714 loss: 4.4979 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5690 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 1.9289 2023/02/01 01:37:55 - mmengine - INFO - Epoch(train) [62][ 320/1879] lr: 9.6350e-02 eta: 2 days, 3:52:32 time: 0.4785 data_time: 0.0300 memory: 18108 grad_norm: 2.9568 loss: 4.6287 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6383 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 1.9904 2023/02/01 01:38:05 - mmengine - INFO - Epoch(train) [62][ 340/1879] lr: 9.6347e-02 eta: 2 days, 3:52:21 time: 0.4914 data_time: 0.0472 memory: 18108 grad_norm: 2.9848 loss: 4.5257 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5818 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.9439 2023/02/01 01:38:14 - mmengine - INFO - Epoch(train) [62][ 360/1879] lr: 9.6344e-02 eta: 2 days, 3:52:08 time: 0.4727 data_time: 0.0303 memory: 18108 grad_norm: 3.0199 loss: 4.4263 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5218 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.9045 2023/02/01 01:38:24 - mmengine - INFO - Epoch(train) [62][ 380/1879] lr: 9.6341e-02 eta: 2 days, 3:51:57 time: 0.4981 data_time: 0.0367 memory: 18108 grad_norm: 2.9707 loss: 4.5395 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7132 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8263 2023/02/01 01:38:25 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 01:38:34 - mmengine - INFO - Epoch(train) [62][ 400/1879] lr: 9.6338e-02 eta: 2 days, 3:51:45 time: 0.4761 data_time: 0.0288 memory: 18108 grad_norm: 2.9497 loss: 4.6716 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6839 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9876 2023/02/01 01:38:44 - mmengine - INFO - Epoch(train) [62][ 420/1879] lr: 9.6335e-02 eta: 2 days, 3:51:34 time: 0.4922 data_time: 0.0436 memory: 18108 grad_norm: 2.9670 loss: 4.4865 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6145 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8720 2023/02/01 01:38:53 - mmengine - INFO - Epoch(train) [62][ 440/1879] lr: 9.6333e-02 eta: 2 days, 3:51:21 time: 0.4727 data_time: 0.0304 memory: 18108 grad_norm: 2.9813 loss: 4.7349 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8790 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.8559 2023/02/01 01:39:03 - mmengine - INFO - Epoch(train) [62][ 460/1879] lr: 9.6330e-02 eta: 2 days, 3:51:10 time: 0.5012 data_time: 0.0380 memory: 18108 grad_norm: 2.9606 loss: 4.9191 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.9009 top1_acc_1: 0.6118 top5_acc_1: 0.7412 loss_cls_1: 2.0182 2023/02/01 01:39:13 - mmengine - INFO - Epoch(train) [62][ 480/1879] lr: 9.6327e-02 eta: 2 days, 3:50:58 time: 0.4752 data_time: 0.0291 memory: 18108 grad_norm: 2.9872 loss: 4.7106 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7668 top1_acc_1: 0.4353 top5_acc_1: 0.7059 loss_cls_1: 1.9438 2023/02/01 01:39:22 - mmengine - INFO - Epoch(train) [62][ 500/1879] lr: 9.6324e-02 eta: 2 days, 3:50:47 time: 0.4939 data_time: 0.0457 memory: 18108 grad_norm: 2.9237 loss: 4.7386 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8167 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9219 2023/02/01 01:39:33 - mmengine - INFO - Epoch(train) [62][ 520/1879] lr: 9.6321e-02 eta: 2 days, 3:50:36 time: 0.5091 data_time: 0.0308 memory: 18108 grad_norm: 2.9572 loss: 4.4420 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5597 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.8823 2023/02/01 01:39:43 - mmengine - INFO - Epoch(train) [62][ 540/1879] lr: 9.6318e-02 eta: 2 days, 3:50:26 time: 0.5050 data_time: 0.0360 memory: 18108 grad_norm: 2.9917 loss: 4.6023 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6365 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9658 2023/02/01 01:39:53 - mmengine - INFO - Epoch(train) [62][ 560/1879] lr: 9.6316e-02 eta: 2 days, 3:50:16 time: 0.5098 data_time: 0.0293 memory: 18108 grad_norm: 2.9914 loss: 4.6058 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6470 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.9588 2023/02/01 01:40:03 - mmengine - INFO - Epoch(train) [62][ 580/1879] lr: 9.6313e-02 eta: 2 days, 3:50:06 time: 0.5125 data_time: 0.0378 memory: 18108 grad_norm: 3.0097 loss: 4.5403 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6561 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.8842 2023/02/01 01:40:13 - mmengine - INFO - Epoch(train) [62][ 600/1879] lr: 9.6310e-02 eta: 2 days, 3:49:55 time: 0.5073 data_time: 0.0293 memory: 18108 grad_norm: 2.9296 loss: 4.6927 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6303 top1_acc_1: 0.5647 top5_acc_1: 0.7176 loss_cls_1: 2.0624 2023/02/01 01:40:24 - mmengine - INFO - Epoch(train) [62][ 620/1879] lr: 9.6307e-02 eta: 2 days, 3:49:45 time: 0.5142 data_time: 0.0371 memory: 18108 grad_norm: 2.9553 loss: 4.5702 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6486 top1_acc_1: 0.5294 top5_acc_1: 0.6824 loss_cls_1: 1.9217 2023/02/01 01:40:34 - mmengine - INFO - Epoch(train) [62][ 640/1879] lr: 9.6304e-02 eta: 2 days, 3:49:35 time: 0.5114 data_time: 0.0290 memory: 18108 grad_norm: 3.0021 loss: 4.6238 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7501 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8737 2023/02/01 01:40:44 - mmengine - INFO - Epoch(train) [62][ 660/1879] lr: 9.6301e-02 eta: 2 days, 3:49:25 time: 0.5171 data_time: 0.0361 memory: 18108 grad_norm: 2.9956 loss: 4.7303 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7493 top1_acc_1: 0.5059 top5_acc_1: 0.6588 loss_cls_1: 1.9810 2023/02/01 01:40:54 - mmengine - INFO - Epoch(train) [62][ 680/1879] lr: 9.6299e-02 eta: 2 days, 3:49:14 time: 0.4999 data_time: 0.0290 memory: 18108 grad_norm: 2.9734 loss: 4.5044 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6497 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.8546 2023/02/01 01:41:04 - mmengine - INFO - Epoch(train) [62][ 700/1879] lr: 9.6296e-02 eta: 2 days, 3:49:04 time: 0.5097 data_time: 0.0449 memory: 18108 grad_norm: 2.9431 loss: 4.4745 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6570 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.8175 2023/02/01 01:41:15 - mmengine - INFO - Epoch(train) [62][ 720/1879] lr: 9.6293e-02 eta: 2 days, 3:48:54 time: 0.5127 data_time: 0.0304 memory: 18108 grad_norm: 3.0170 loss: 4.6599 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6509 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 2.0090 2023/02/01 01:41:25 - mmengine - INFO - Epoch(train) [62][ 740/1879] lr: 9.6290e-02 eta: 2 days, 3:48:45 time: 0.5185 data_time: 0.0367 memory: 18108 grad_norm: 2.9175 loss: 4.7437 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8348 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9089 2023/02/01 01:41:35 - mmengine - INFO - Epoch(train) [62][ 760/1879] lr: 9.6287e-02 eta: 2 days, 3:48:33 time: 0.4959 data_time: 0.0301 memory: 18108 grad_norm: 2.9259 loss: 4.5071 top1_acc_0: 0.3125 top5_acc_0: 0.8750 loss_cls_0: 2.5891 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9181 2023/02/01 01:41:45 - mmengine - INFO - Epoch(train) [62][ 780/1879] lr: 9.6284e-02 eta: 2 days, 3:48:24 time: 0.5179 data_time: 0.0424 memory: 18108 grad_norm: 2.9832 loss: 4.7020 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 2.7201 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.9819 2023/02/01 01:41:56 - mmengine - INFO - Epoch(train) [62][ 800/1879] lr: 9.6281e-02 eta: 2 days, 3:48:14 time: 0.5161 data_time: 0.0297 memory: 18108 grad_norm: 3.0219 loss: 4.7374 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8365 top1_acc_1: 0.5059 top5_acc_1: 0.8235 loss_cls_1: 1.9009 2023/02/01 01:42:06 - mmengine - INFO - Epoch(train) [62][ 820/1879] lr: 9.6279e-02 eta: 2 days, 3:48:04 time: 0.5109 data_time: 0.0392 memory: 18108 grad_norm: 2.9187 loss: 4.6166 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6736 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9430 2023/02/01 01:42:16 - mmengine - INFO - Epoch(train) [62][ 840/1879] lr: 9.6276e-02 eta: 2 days, 3:47:54 time: 0.5208 data_time: 0.0360 memory: 18108 grad_norm: 2.9858 loss: 4.6642 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.7600 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9042 2023/02/01 01:42:27 - mmengine - INFO - Epoch(train) [62][ 860/1879] lr: 9.6273e-02 eta: 2 days, 3:47:45 time: 0.5216 data_time: 0.0351 memory: 18108 grad_norm: 2.9575 loss: 4.7764 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7270 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.0494 2023/02/01 01:42:37 - mmengine - INFO - Epoch(train) [62][ 880/1879] lr: 9.6270e-02 eta: 2 days, 3:47:35 time: 0.5097 data_time: 0.0284 memory: 18108 grad_norm: 2.9424 loss: 4.6982 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8277 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8705 2023/02/01 01:42:47 - mmengine - INFO - Epoch(train) [62][ 900/1879] lr: 9.6267e-02 eta: 2 days, 3:47:25 time: 0.5229 data_time: 0.0429 memory: 18108 grad_norm: 2.9463 loss: 4.4594 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5047 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.9547 2023/02/01 01:42:57 - mmengine - INFO - Epoch(train) [62][ 920/1879] lr: 9.6264e-02 eta: 2 days, 3:47:14 time: 0.4999 data_time: 0.0291 memory: 18108 grad_norm: 3.0137 loss: 4.7222 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8218 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 1.9004 2023/02/01 01:43:08 - mmengine - INFO - Epoch(train) [62][ 940/1879] lr: 9.6261e-02 eta: 2 days, 3:47:05 time: 0.5288 data_time: 0.0372 memory: 18108 grad_norm: 2.9951 loss: 4.8003 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9006 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8998 2023/02/01 01:43:18 - mmengine - INFO - Epoch(train) [62][ 960/1879] lr: 9.6259e-02 eta: 2 days, 3:46:54 time: 0.4926 data_time: 0.0275 memory: 18108 grad_norm: 3.0126 loss: 4.8171 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8066 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 2.0106 2023/02/01 01:43:28 - mmengine - INFO - Epoch(train) [62][ 980/1879] lr: 9.6256e-02 eta: 2 days, 3:46:45 time: 0.5251 data_time: 0.0428 memory: 18108 grad_norm: 2.9699 loss: 4.7895 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6819 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 2.1077 2023/02/01 01:43:39 - mmengine - INFO - Epoch(train) [62][1000/1879] lr: 9.6253e-02 eta: 2 days, 3:46:34 time: 0.5069 data_time: 0.0274 memory: 18108 grad_norm: 2.9829 loss: 4.7040 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8201 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.8838 2023/02/01 01:43:49 - mmengine - INFO - Epoch(train) [62][1020/1879] lr: 9.6250e-02 eta: 2 days, 3:46:25 time: 0.5212 data_time: 0.0378 memory: 18108 grad_norm: 3.0054 loss: 4.5545 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5731 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9814 2023/02/01 01:43:59 - mmengine - INFO - Epoch(train) [62][1040/1879] lr: 9.6247e-02 eta: 2 days, 3:46:15 time: 0.5170 data_time: 0.0342 memory: 18108 grad_norm: 3.0068 loss: 4.8001 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.8073 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.9928 2023/02/01 01:44:10 - mmengine - INFO - Epoch(train) [62][1060/1879] lr: 9.6244e-02 eta: 2 days, 3:46:06 time: 0.5306 data_time: 0.0364 memory: 18108 grad_norm: 2.9840 loss: 4.6971 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7840 top1_acc_1: 0.6000 top5_acc_1: 0.7412 loss_cls_1: 1.9131 2023/02/01 01:44:20 - mmengine - INFO - Epoch(train) [62][1080/1879] lr: 9.6241e-02 eta: 2 days, 3:45:56 time: 0.5077 data_time: 0.0287 memory: 18108 grad_norm: 2.8890 loss: 4.4848 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6171 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.8676 2023/02/01 01:44:31 - mmengine - INFO - Epoch(train) [62][1100/1879] lr: 9.6239e-02 eta: 2 days, 3:45:47 time: 0.5256 data_time: 0.0379 memory: 18108 grad_norm: 2.9200 loss: 4.6527 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6456 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 2.0071 2023/02/01 01:44:41 - mmengine - INFO - Epoch(train) [62][1120/1879] lr: 9.6236e-02 eta: 2 days, 3:45:37 time: 0.5191 data_time: 0.0294 memory: 18108 grad_norm: 2.9189 loss: 4.4633 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5997 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.8636 2023/02/01 01:44:51 - mmengine - INFO - Epoch(train) [62][1140/1879] lr: 9.6233e-02 eta: 2 days, 3:45:27 time: 0.5168 data_time: 0.0356 memory: 18108 grad_norm: 2.9911 loss: 4.5904 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.6627 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9277 2023/02/01 01:45:02 - mmengine - INFO - Epoch(train) [62][1160/1879] lr: 9.6230e-02 eta: 2 days, 3:45:18 time: 0.5215 data_time: 0.0312 memory: 18108 grad_norm: 2.9137 loss: 4.6623 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7278 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.9345 2023/02/01 01:45:12 - mmengine - INFO - Epoch(train) [62][1180/1879] lr: 9.6227e-02 eta: 2 days, 3:45:09 time: 0.5320 data_time: 0.0423 memory: 18108 grad_norm: 2.9096 loss: 4.6625 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7476 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.9149 2023/02/01 01:45:23 - mmengine - INFO - Epoch(train) [62][1200/1879] lr: 9.6224e-02 eta: 2 days, 3:44:58 time: 0.5062 data_time: 0.0291 memory: 18108 grad_norm: 3.0248 loss: 4.6983 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7315 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.9668 2023/02/01 01:45:33 - mmengine - INFO - Epoch(train) [62][1220/1879] lr: 9.6221e-02 eta: 2 days, 3:44:50 time: 0.5413 data_time: 0.0364 memory: 18108 grad_norm: 2.9868 loss: 4.7476 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7066 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 2.0410 2023/02/01 01:45:44 - mmengine - INFO - Epoch(train) [62][1240/1879] lr: 9.6218e-02 eta: 2 days, 3:44:40 time: 0.5062 data_time: 0.0289 memory: 18108 grad_norm: 2.9306 loss: 4.5255 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5875 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.9380 2023/02/01 01:45:54 - mmengine - INFO - Epoch(train) [62][1260/1879] lr: 9.6216e-02 eta: 2 days, 3:44:31 time: 0.5335 data_time: 0.0361 memory: 18108 grad_norm: 2.9440 loss: 4.7729 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.8963 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 1.8766 2023/02/01 01:46:05 - mmengine - INFO - Epoch(train) [62][1280/1879] lr: 9.6213e-02 eta: 2 days, 3:44:22 time: 0.5263 data_time: 0.0276 memory: 18108 grad_norm: 2.9755 loss: 4.4234 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4482 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9751 2023/02/01 01:46:15 - mmengine - INFO - Epoch(train) [62][1300/1879] lr: 9.6210e-02 eta: 2 days, 3:44:13 time: 0.5274 data_time: 0.0378 memory: 18108 grad_norm: 3.0452 loss: 4.4186 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5606 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 1.8580 2023/02/01 01:46:26 - mmengine - INFO - Epoch(train) [62][1320/1879] lr: 9.6207e-02 eta: 2 days, 3:44:03 time: 0.5174 data_time: 0.0278 memory: 18108 grad_norm: 3.0061 loss: 4.5324 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6445 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8879 2023/02/01 01:46:36 - mmengine - INFO - Epoch(train) [62][1340/1879] lr: 9.6204e-02 eta: 2 days, 3:43:53 time: 0.5208 data_time: 0.0373 memory: 18108 grad_norm: 3.0062 loss: 4.6611 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6583 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.0028 2023/02/01 01:46:46 - mmengine - INFO - Epoch(train) [62][1360/1879] lr: 9.6201e-02 eta: 2 days, 3:43:44 time: 0.5190 data_time: 0.0283 memory: 18108 grad_norm: 2.9233 loss: 4.7993 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.8801 top1_acc_1: 0.5647 top5_acc_1: 0.8941 loss_cls_1: 1.9192 2023/02/01 01:46:57 - mmengine - INFO - Epoch(train) [62][1380/1879] lr: 9.6198e-02 eta: 2 days, 3:43:35 time: 0.5297 data_time: 0.0366 memory: 18108 grad_norm: 2.9612 loss: 4.5887 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.5744 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0143 2023/02/01 01:46:58 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 01:47:07 - mmengine - INFO - Epoch(train) [62][1400/1879] lr: 9.6195e-02 eta: 2 days, 3:43:25 time: 0.5094 data_time: 0.0395 memory: 18108 grad_norm: 2.9673 loss: 4.7358 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.8639 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.8719 2023/02/01 01:47:18 - mmengine - INFO - Epoch(train) [62][1420/1879] lr: 9.6193e-02 eta: 2 days, 3:43:16 time: 0.5291 data_time: 0.0343 memory: 18108 grad_norm: 2.8828 loss: 4.7999 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.8359 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.9641 2023/02/01 01:47:28 - mmengine - INFO - Epoch(train) [62][1440/1879] lr: 9.6190e-02 eta: 2 days, 3:43:05 time: 0.5079 data_time: 0.0294 memory: 18108 grad_norm: 2.9240 loss: 4.4553 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.4616 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9937 2023/02/01 01:47:38 - mmengine - INFO - Epoch(train) [62][1460/1879] lr: 9.6187e-02 eta: 2 days, 3:42:56 time: 0.5185 data_time: 0.0373 memory: 18108 grad_norm: 2.9802 loss: 4.7824 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8069 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.9755 2023/02/01 01:47:49 - mmengine - INFO - Epoch(train) [62][1480/1879] lr: 9.6184e-02 eta: 2 days, 3:42:46 time: 0.5168 data_time: 0.0415 memory: 18108 grad_norm: 2.9893 loss: 4.5141 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5895 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9246 2023/02/01 01:47:59 - mmengine - INFO - Epoch(train) [62][1500/1879] lr: 9.6181e-02 eta: 2 days, 3:42:36 time: 0.5246 data_time: 0.0342 memory: 18108 grad_norm: 3.0007 loss: 4.7246 top1_acc_0: 0.3750 top5_acc_0: 0.3750 loss_cls_0: 2.7691 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9555 2023/02/01 01:48:10 - mmengine - INFO - Epoch(train) [62][1520/1879] lr: 9.6178e-02 eta: 2 days, 3:42:27 time: 0.5171 data_time: 0.0292 memory: 18108 grad_norm: 2.9322 loss: 4.6734 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7533 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.9201 2023/02/01 01:48:20 - mmengine - INFO - Epoch(train) [62][1540/1879] lr: 9.6175e-02 eta: 2 days, 3:42:18 time: 0.5348 data_time: 0.0358 memory: 18108 grad_norm: 2.9473 loss: 4.7324 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7831 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9493 2023/02/01 01:48:31 - mmengine - INFO - Epoch(train) [62][1560/1879] lr: 9.6172e-02 eta: 2 days, 3:42:08 time: 0.5195 data_time: 0.0294 memory: 18108 grad_norm: 2.9244 loss: 4.6848 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.6536 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.0312 2023/02/01 01:48:42 - mmengine - INFO - Epoch(train) [62][1580/1879] lr: 9.6169e-02 eta: 2 days, 3:42:00 time: 0.5446 data_time: 0.0368 memory: 18108 grad_norm: 2.9039 loss: 4.6672 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7802 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8870 2023/02/01 01:48:52 - mmengine - INFO - Epoch(train) [62][1600/1879] lr: 9.6167e-02 eta: 2 days, 3:41:51 time: 0.5166 data_time: 0.0320 memory: 18108 grad_norm: 2.9534 loss: 4.7200 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8015 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.9185 2023/02/01 01:49:02 - mmengine - INFO - Epoch(train) [62][1620/1879] lr: 9.6164e-02 eta: 2 days, 3:41:41 time: 0.5270 data_time: 0.0352 memory: 18108 grad_norm: 2.9551 loss: 4.7168 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7678 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9490 2023/02/01 01:49:13 - mmengine - INFO - Epoch(train) [62][1640/1879] lr: 9.6161e-02 eta: 2 days, 3:41:31 time: 0.5137 data_time: 0.0294 memory: 18108 grad_norm: 2.8917 loss: 4.7307 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.6776 top1_acc_1: 0.6353 top5_acc_1: 0.6941 loss_cls_1: 2.0531 2023/02/01 01:49:23 - mmengine - INFO - Epoch(train) [62][1660/1879] lr: 9.6158e-02 eta: 2 days, 3:41:22 time: 0.5184 data_time: 0.0356 memory: 18108 grad_norm: 2.9636 loss: 4.6968 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6850 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 2.0119 2023/02/01 01:49:33 - mmengine - INFO - Epoch(train) [62][1680/1879] lr: 9.6155e-02 eta: 2 days, 3:41:12 time: 0.5125 data_time: 0.0302 memory: 18108 grad_norm: 2.9713 loss: 4.7609 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8058 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9550 2023/02/01 01:49:44 - mmengine - INFO - Epoch(train) [62][1700/1879] lr: 9.6152e-02 eta: 2 days, 3:41:03 time: 0.5282 data_time: 0.0467 memory: 18108 grad_norm: 2.9499 loss: 4.6020 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5926 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.0094 2023/02/01 01:49:54 - mmengine - INFO - Epoch(train) [62][1720/1879] lr: 9.6149e-02 eta: 2 days, 3:40:53 time: 0.5197 data_time: 0.0290 memory: 18108 grad_norm: 2.9663 loss: 4.7317 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7218 top1_acc_1: 0.4588 top5_acc_1: 0.6824 loss_cls_1: 2.0099 2023/02/01 01:50:05 - mmengine - INFO - Epoch(train) [62][1740/1879] lr: 9.6146e-02 eta: 2 days, 3:40:43 time: 0.5148 data_time: 0.0360 memory: 18108 grad_norm: 2.8876 loss: 4.5208 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5367 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9840 2023/02/01 01:50:15 - mmengine - INFO - Epoch(train) [62][1760/1879] lr: 9.6143e-02 eta: 2 days, 3:40:34 time: 0.5355 data_time: 0.0309 memory: 18108 grad_norm: 3.0205 loss: 4.5552 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6788 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.8764 2023/02/01 01:50:26 - mmengine - INFO - Epoch(train) [62][1780/1879] lr: 9.6141e-02 eta: 2 days, 3:40:25 time: 0.5183 data_time: 0.0434 memory: 18108 grad_norm: 2.9581 loss: 4.7029 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7582 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.9447 2023/02/01 01:50:36 - mmengine - INFO - Epoch(train) [62][1800/1879] lr: 9.6138e-02 eta: 2 days, 3:40:16 time: 0.5267 data_time: 0.0302 memory: 18108 grad_norm: 2.9625 loss: 4.7117 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8412 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8705 2023/02/01 01:50:47 - mmengine - INFO - Epoch(train) [62][1820/1879] lr: 9.6135e-02 eta: 2 days, 3:40:06 time: 0.5207 data_time: 0.0359 memory: 18108 grad_norm: 2.9487 loss: 4.4237 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.4590 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.9646 2023/02/01 01:50:57 - mmengine - INFO - Epoch(train) [62][1840/1879] lr: 9.6132e-02 eta: 2 days, 3:39:57 time: 0.5213 data_time: 0.0290 memory: 18108 grad_norm: 2.9022 loss: 4.8154 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8276 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9877 2023/02/01 01:51:08 - mmengine - INFO - Epoch(train) [62][1860/1879] lr: 9.6129e-02 eta: 2 days, 3:39:48 time: 0.5327 data_time: 0.0458 memory: 18108 grad_norm: 3.0017 loss: 4.6967 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.7458 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.9509 2023/02/01 01:51:17 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 01:51:17 - mmengine - INFO - Epoch(train) [62][1879/1879] lr: 9.6126e-02 eta: 2 days, 3:39:36 time: 0.4841 data_time: 0.0338 memory: 18108 grad_norm: 3.0102 loss: 4.4505 top1_acc_0: 0.2857 top5_acc_0: 0.7143 loss_cls_0: 2.4882 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.9624 2023/02/01 01:51:32 - mmengine - INFO - Epoch(train) [63][ 20/1879] lr: 9.6123e-02 eta: 2 days, 3:39:39 time: 0.7099 data_time: 0.2536 memory: 18108 grad_norm: 2.9219 loss: 4.5350 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6186 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9164 2023/02/01 01:51:41 - mmengine - INFO - Epoch(train) [63][ 40/1879] lr: 9.6120e-02 eta: 2 days, 3:39:26 time: 0.4693 data_time: 0.0358 memory: 18108 grad_norm: 2.9119 loss: 4.6478 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8000 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8477 2023/02/01 01:51:51 - mmengine - INFO - Epoch(train) [63][ 60/1879] lr: 9.6117e-02 eta: 2 days, 3:39:14 time: 0.4876 data_time: 0.0366 memory: 18108 grad_norm: 2.9026 loss: 4.3960 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4936 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.9024 2023/02/01 01:52:01 - mmengine - INFO - Epoch(train) [63][ 80/1879] lr: 9.6115e-02 eta: 2 days, 3:39:03 time: 0.4955 data_time: 0.0424 memory: 18108 grad_norm: 2.8814 loss: 4.4798 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6845 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.7954 2023/02/01 01:52:11 - mmengine - INFO - Epoch(train) [63][ 100/1879] lr: 9.6112e-02 eta: 2 days, 3:38:51 time: 0.4805 data_time: 0.0363 memory: 18108 grad_norm: 2.9012 loss: 4.6502 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.7810 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8691 2023/02/01 01:52:20 - mmengine - INFO - Epoch(train) [63][ 120/1879] lr: 9.6109e-02 eta: 2 days, 3:38:38 time: 0.4656 data_time: 0.0342 memory: 18108 grad_norm: 2.9753 loss: 4.4678 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7239 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7440 2023/02/01 01:52:30 - mmengine - INFO - Epoch(train) [63][ 140/1879] lr: 9.6106e-02 eta: 2 days, 3:38:28 time: 0.5083 data_time: 0.0424 memory: 18108 grad_norm: 2.9639 loss: 4.4796 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6365 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.8431 2023/02/01 01:52:40 - mmengine - INFO - Epoch(train) [63][ 160/1879] lr: 9.6103e-02 eta: 2 days, 3:38:15 time: 0.4761 data_time: 0.0339 memory: 18108 grad_norm: 2.9927 loss: 4.3151 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4794 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.8357 2023/02/01 01:52:49 - mmengine - INFO - Epoch(train) [63][ 180/1879] lr: 9.6100e-02 eta: 2 days, 3:38:04 time: 0.4820 data_time: 0.0366 memory: 18108 grad_norm: 3.0044 loss: 4.4530 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5907 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8622 2023/02/01 01:52:59 - mmengine - INFO - Epoch(train) [63][ 200/1879] lr: 9.6097e-02 eta: 2 days, 3:37:51 time: 0.4778 data_time: 0.0342 memory: 18108 grad_norm: 2.9788 loss: 4.6441 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7539 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.8902 2023/02/01 01:53:09 - mmengine - INFO - Epoch(train) [63][ 220/1879] lr: 9.6094e-02 eta: 2 days, 3:37:40 time: 0.4898 data_time: 0.0362 memory: 18108 grad_norm: 2.9355 loss: 4.5554 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6166 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.9388 2023/02/01 01:53:18 - mmengine - INFO - Epoch(train) [63][ 240/1879] lr: 9.6091e-02 eta: 2 days, 3:37:28 time: 0.4771 data_time: 0.0357 memory: 18108 grad_norm: 2.9704 loss: 4.7971 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.9115 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.8857 2023/02/01 01:53:28 - mmengine - INFO - Epoch(train) [63][ 260/1879] lr: 9.6088e-02 eta: 2 days, 3:37:17 time: 0.4978 data_time: 0.0362 memory: 18108 grad_norm: 2.9137 loss: 4.4314 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5016 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.9299 2023/02/01 01:53:38 - mmengine - INFO - Epoch(train) [63][ 280/1879] lr: 9.6085e-02 eta: 2 days, 3:37:06 time: 0.5007 data_time: 0.0347 memory: 18108 grad_norm: 2.9445 loss: 4.6914 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8171 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.8743 2023/02/01 01:53:48 - mmengine - INFO - Epoch(train) [63][ 300/1879] lr: 9.6082e-02 eta: 2 days, 3:36:54 time: 0.4909 data_time: 0.0428 memory: 18108 grad_norm: 2.9587 loss: 4.6279 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.6888 top1_acc_1: 0.4353 top5_acc_1: 0.7882 loss_cls_1: 1.9391 2023/02/01 01:53:58 - mmengine - INFO - Epoch(train) [63][ 320/1879] lr: 9.6079e-02 eta: 2 days, 3:36:42 time: 0.4781 data_time: 0.0356 memory: 18108 grad_norm: 2.9462 loss: 4.5460 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6523 top1_acc_1: 0.4471 top5_acc_1: 0.8471 loss_cls_1: 1.8937 2023/02/01 01:54:08 - mmengine - INFO - Epoch(train) [63][ 340/1879] lr: 9.6077e-02 eta: 2 days, 3:36:31 time: 0.4961 data_time: 0.0365 memory: 18108 grad_norm: 3.0041 loss: 4.7190 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7197 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.9993 2023/02/01 01:54:17 - mmengine - INFO - Epoch(train) [63][ 360/1879] lr: 9.6074e-02 eta: 2 days, 3:36:20 time: 0.4908 data_time: 0.0330 memory: 18108 grad_norm: 2.9657 loss: 4.6702 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6964 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.9738 2023/02/01 01:54:27 - mmengine - INFO - Epoch(train) [63][ 380/1879] lr: 9.6071e-02 eta: 2 days, 3:36:08 time: 0.4863 data_time: 0.0342 memory: 18108 grad_norm: 2.9904 loss: 4.5076 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.5948 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.9128 2023/02/01 01:54:37 - mmengine - INFO - Epoch(train) [63][ 400/1879] lr: 9.6068e-02 eta: 2 days, 3:35:56 time: 0.4827 data_time: 0.0337 memory: 18108 grad_norm: 2.9627 loss: 4.5211 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5693 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.9518 2023/02/01 01:54:47 - mmengine - INFO - Epoch(train) [63][ 420/1879] lr: 9.6065e-02 eta: 2 days, 3:35:45 time: 0.5008 data_time: 0.0362 memory: 18108 grad_norm: 2.9800 loss: 4.6983 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7309 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.9673 2023/02/01 01:54:57 - mmengine - INFO - Epoch(train) [63][ 440/1879] lr: 9.6062e-02 eta: 2 days, 3:35:34 time: 0.4871 data_time: 0.0316 memory: 18108 grad_norm: 3.0039 loss: 4.3942 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5476 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8467 2023/02/01 01:55:06 - mmengine - INFO - Epoch(train) [63][ 460/1879] lr: 9.6059e-02 eta: 2 days, 3:35:22 time: 0.4863 data_time: 0.0352 memory: 18108 grad_norm: 3.0126 loss: 4.6740 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7556 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.9184 2023/02/01 01:55:16 - mmengine - INFO - Epoch(train) [63][ 480/1879] lr: 9.6056e-02 eta: 2 days, 3:35:11 time: 0.4904 data_time: 0.0348 memory: 18108 grad_norm: 2.9483 loss: 4.5028 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 2.5471 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9557 2023/02/01 01:55:26 - mmengine - INFO - Epoch(train) [63][ 500/1879] lr: 9.6053e-02 eta: 2 days, 3:35:00 time: 0.5042 data_time: 0.0428 memory: 18108 grad_norm: 2.9593 loss: 4.8384 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9033 top1_acc_1: 0.4000 top5_acc_1: 0.7176 loss_cls_1: 1.9350 2023/02/01 01:55:27 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 01:55:36 - mmengine - INFO - Epoch(train) [63][ 520/1879] lr: 9.6050e-02 eta: 2 days, 3:34:48 time: 0.4876 data_time: 0.0345 memory: 18108 grad_norm: 3.0418 loss: 4.6171 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.7493 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8678 2023/02/01 01:55:46 - mmengine - INFO - Epoch(train) [63][ 540/1879] lr: 9.6047e-02 eta: 2 days, 3:34:37 time: 0.4911 data_time: 0.0351 memory: 18108 grad_norm: 3.0018 loss: 4.3867 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4971 top1_acc_1: 0.4941 top5_acc_1: 0.8118 loss_cls_1: 1.8896 2023/02/01 01:55:56 - mmengine - INFO - Epoch(train) [63][ 560/1879] lr: 9.6044e-02 eta: 2 days, 3:34:26 time: 0.4941 data_time: 0.0341 memory: 18108 grad_norm: 2.9592 loss: 4.4446 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4292 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 2.0155 2023/02/01 01:56:06 - mmengine - INFO - Epoch(train) [63][ 580/1879] lr: 9.6041e-02 eta: 2 days, 3:34:15 time: 0.4977 data_time: 0.0450 memory: 18108 grad_norm: 2.9875 loss: 4.6433 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.7469 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8964 2023/02/01 01:56:15 - mmengine - INFO - Epoch(train) [63][ 600/1879] lr: 9.6038e-02 eta: 2 days, 3:34:03 time: 0.4908 data_time: 0.0334 memory: 18108 grad_norm: 2.9884 loss: 4.6705 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6980 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9725 2023/02/01 01:56:26 - mmengine - INFO - Epoch(train) [63][ 620/1879] lr: 9.6036e-02 eta: 2 days, 3:33:53 time: 0.5031 data_time: 0.0367 memory: 18108 grad_norm: 3.0017 loss: 4.5526 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6274 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.9252 2023/02/01 01:56:36 - mmengine - INFO - Epoch(train) [63][ 640/1879] lr: 9.6033e-02 eta: 2 days, 3:33:43 time: 0.5200 data_time: 0.0430 memory: 18108 grad_norm: 2.9668 loss: 4.6032 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6476 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.9556 2023/02/01 01:56:46 - mmengine - INFO - Epoch(train) [63][ 660/1879] lr: 9.6030e-02 eta: 2 days, 3:33:33 time: 0.5038 data_time: 0.0307 memory: 18108 grad_norm: 3.0046 loss: 4.5737 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6800 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8937 2023/02/01 01:56:56 - mmengine - INFO - Epoch(train) [63][ 680/1879] lr: 9.6027e-02 eta: 2 days, 3:33:22 time: 0.5033 data_time: 0.0369 memory: 18108 grad_norm: 2.9880 loss: 4.6077 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6470 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9607 2023/02/01 01:57:06 - mmengine - INFO - Epoch(train) [63][ 700/1879] lr: 9.6024e-02 eta: 2 days, 3:33:12 time: 0.5179 data_time: 0.0308 memory: 18108 grad_norm: 3.0048 loss: 4.8183 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.8182 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0002 2023/02/01 01:57:17 - mmengine - INFO - Epoch(train) [63][ 720/1879] lr: 9.6021e-02 eta: 2 days, 3:33:02 time: 0.5122 data_time: 0.0440 memory: 18108 grad_norm: 2.9852 loss: 4.6260 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6525 top1_acc_1: 0.4588 top5_acc_1: 0.7765 loss_cls_1: 1.9735 2023/02/01 01:57:27 - mmengine - INFO - Epoch(train) [63][ 740/1879] lr: 9.6018e-02 eta: 2 days, 3:32:52 time: 0.5157 data_time: 0.0297 memory: 18108 grad_norm: 2.9248 loss: 4.6920 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8430 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8490 2023/02/01 01:57:37 - mmengine - INFO - Epoch(train) [63][ 760/1879] lr: 9.6015e-02 eta: 2 days, 3:32:42 time: 0.5038 data_time: 0.0364 memory: 18108 grad_norm: 2.9238 loss: 4.3955 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3638 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 2.0317 2023/02/01 01:57:48 - mmengine - INFO - Epoch(train) [63][ 780/1879] lr: 9.6012e-02 eta: 2 days, 3:32:32 time: 0.5221 data_time: 0.0382 memory: 18108 grad_norm: 2.9732 loss: 4.7163 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.6566 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.0597 2023/02/01 01:57:58 - mmengine - INFO - Epoch(train) [63][ 800/1879] lr: 9.6009e-02 eta: 2 days, 3:32:22 time: 0.5066 data_time: 0.0359 memory: 18108 grad_norm: 2.9575 loss: 4.5108 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5622 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 1.9486 2023/02/01 01:58:08 - mmengine - INFO - Epoch(train) [63][ 820/1879] lr: 9.6006e-02 eta: 2 days, 3:32:11 time: 0.5053 data_time: 0.0306 memory: 18108 grad_norm: 2.9209 loss: 4.5223 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6509 top1_acc_1: 0.6706 top5_acc_1: 0.8000 loss_cls_1: 1.8714 2023/02/01 01:58:18 - mmengine - INFO - Epoch(train) [63][ 840/1879] lr: 9.6003e-02 eta: 2 days, 3:32:01 time: 0.5063 data_time: 0.0381 memory: 18108 grad_norm: 3.0348 loss: 4.5015 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5626 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 1.9389 2023/02/01 01:58:29 - mmengine - INFO - Epoch(train) [63][ 860/1879] lr: 9.6000e-02 eta: 2 days, 3:31:52 time: 0.5290 data_time: 0.0371 memory: 18108 grad_norm: 2.9873 loss: 4.5168 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6132 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 1.9036 2023/02/01 01:58:39 - mmengine - INFO - Epoch(train) [63][ 880/1879] lr: 9.5997e-02 eta: 2 days, 3:31:42 time: 0.5082 data_time: 0.0364 memory: 18108 grad_norm: 3.0153 loss: 4.3374 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3368 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 2.0006 2023/02/01 01:58:49 - mmengine - INFO - Epoch(train) [63][ 900/1879] lr: 9.5994e-02 eta: 2 days, 3:31:31 time: 0.5092 data_time: 0.0362 memory: 18108 grad_norm: 2.8891 loss: 4.6068 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.5997 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.0071 2023/02/01 01:58:59 - mmengine - INFO - Epoch(train) [63][ 920/1879] lr: 9.5991e-02 eta: 2 days, 3:31:21 time: 0.5148 data_time: 0.0370 memory: 18108 grad_norm: 2.9443 loss: 4.4757 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6510 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.8247 2023/02/01 01:59:09 - mmengine - INFO - Epoch(train) [63][ 940/1879] lr: 9.5988e-02 eta: 2 days, 3:31:11 time: 0.5102 data_time: 0.0299 memory: 18108 grad_norm: 2.9082 loss: 4.7369 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7783 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.9587 2023/02/01 01:59:19 - mmengine - INFO - Epoch(train) [63][ 960/1879] lr: 9.5985e-02 eta: 2 days, 3:31:00 time: 0.4982 data_time: 0.0364 memory: 18108 grad_norm: 3.0085 loss: 4.4500 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5602 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.8898 2023/02/01 01:59:30 - mmengine - INFO - Epoch(train) [63][ 980/1879] lr: 9.5982e-02 eta: 2 days, 3:30:50 time: 0.5110 data_time: 0.0355 memory: 18108 grad_norm: 3.0163 loss: 4.8673 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7976 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 2.0698 2023/02/01 01:59:40 - mmengine - INFO - Epoch(train) [63][1000/1879] lr: 9.5980e-02 eta: 2 days, 3:30:40 time: 0.5086 data_time: 0.0380 memory: 18108 grad_norm: 2.9428 loss: 4.6185 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6918 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9268 2023/02/01 01:59:50 - mmengine - INFO - Epoch(train) [63][1020/1879] lr: 9.5977e-02 eta: 2 days, 3:30:29 time: 0.5017 data_time: 0.0294 memory: 18108 grad_norm: 2.9795 loss: 4.6177 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6751 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9426 2023/02/01 02:00:00 - mmengine - INFO - Epoch(train) [63][1040/1879] lr: 9.5974e-02 eta: 2 days, 3:30:19 time: 0.5074 data_time: 0.0443 memory: 18108 grad_norm: 2.9665 loss: 4.6878 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7539 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.9339 2023/02/01 02:00:10 - mmengine - INFO - Epoch(train) [63][1060/1879] lr: 9.5971e-02 eta: 2 days, 3:30:08 time: 0.5053 data_time: 0.0309 memory: 18108 grad_norm: 2.9743 loss: 4.5882 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7336 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.8546 2023/02/01 02:00:20 - mmengine - INFO - Epoch(train) [63][1080/1879] lr: 9.5968e-02 eta: 2 days, 3:29:58 time: 0.5024 data_time: 0.0400 memory: 18108 grad_norm: 2.9986 loss: 4.7902 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7858 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 2.0044 2023/02/01 02:00:30 - mmengine - INFO - Epoch(train) [63][1100/1879] lr: 9.5965e-02 eta: 2 days, 3:29:46 time: 0.4961 data_time: 0.0299 memory: 18108 grad_norm: 2.9773 loss: 4.5335 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.5829 top1_acc_1: 0.4941 top5_acc_1: 0.8118 loss_cls_1: 1.9506 2023/02/01 02:00:40 - mmengine - INFO - Epoch(train) [63][1120/1879] lr: 9.5962e-02 eta: 2 days, 3:29:36 time: 0.5106 data_time: 0.0430 memory: 18108 grad_norm: 2.9334 loss: 4.7395 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7541 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9855 2023/02/01 02:00:50 - mmengine - INFO - Epoch(train) [63][1140/1879] lr: 9.5959e-02 eta: 2 days, 3:29:26 time: 0.5015 data_time: 0.0285 memory: 18108 grad_norm: 2.9514 loss: 4.8375 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8951 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.9425 2023/02/01 02:01:00 - mmengine - INFO - Epoch(train) [63][1160/1879] lr: 9.5956e-02 eta: 2 days, 3:29:14 time: 0.4863 data_time: 0.0389 memory: 18108 grad_norm: 2.9490 loss: 4.7547 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8536 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.9011 2023/02/01 02:01:10 - mmengine - INFO - Epoch(train) [63][1180/1879] lr: 9.5953e-02 eta: 2 days, 3:29:03 time: 0.5023 data_time: 0.0340 memory: 18108 grad_norm: 2.9095 loss: 4.7083 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.8076 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.9008 2023/02/01 02:01:20 - mmengine - INFO - Epoch(train) [63][1200/1879] lr: 9.5950e-02 eta: 2 days, 3:28:52 time: 0.4914 data_time: 0.0366 memory: 18108 grad_norm: 2.9453 loss: 4.7893 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8668 top1_acc_1: 0.5882 top5_acc_1: 0.7176 loss_cls_1: 1.9225 2023/02/01 02:01:30 - mmengine - INFO - Epoch(train) [63][1220/1879] lr: 9.5947e-02 eta: 2 days, 3:28:41 time: 0.4990 data_time: 0.0299 memory: 18108 grad_norm: 2.9200 loss: 4.6541 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7366 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9175 2023/02/01 02:01:40 - mmengine - INFO - Epoch(train) [63][1240/1879] lr: 9.5944e-02 eta: 2 days, 3:28:30 time: 0.4954 data_time: 0.0450 memory: 18108 grad_norm: 2.8894 loss: 4.7309 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8147 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.9162 2023/02/01 02:01:50 - mmengine - INFO - Epoch(train) [63][1260/1879] lr: 9.5941e-02 eta: 2 days, 3:28:20 time: 0.5104 data_time: 0.0302 memory: 18108 grad_norm: 2.9855 loss: 4.6164 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6597 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 1.9567 2023/02/01 02:02:00 - mmengine - INFO - Epoch(train) [63][1280/1879] lr: 9.5938e-02 eta: 2 days, 3:28:08 time: 0.4926 data_time: 0.0382 memory: 18108 grad_norm: 2.9421 loss: 4.6915 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7011 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.9905 2023/02/01 02:02:10 - mmengine - INFO - Epoch(train) [63][1300/1879] lr: 9.5935e-02 eta: 2 days, 3:27:57 time: 0.4963 data_time: 0.0310 memory: 18108 grad_norm: 2.9502 loss: 4.8921 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 3.0332 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.8589 2023/02/01 02:02:20 - mmengine - INFO - Epoch(train) [63][1320/1879] lr: 9.5932e-02 eta: 2 days, 3:27:46 time: 0.4916 data_time: 0.0433 memory: 18108 grad_norm: 2.8929 loss: 4.4693 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5517 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 1.9177 2023/02/01 02:02:30 - mmengine - INFO - Epoch(train) [63][1340/1879] lr: 9.5929e-02 eta: 2 days, 3:27:36 time: 0.5100 data_time: 0.0308 memory: 18108 grad_norm: 3.0111 loss: 4.8448 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.7874 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0573 2023/02/01 02:02:40 - mmengine - INFO - Epoch(train) [63][1360/1879] lr: 9.5926e-02 eta: 2 days, 3:27:26 time: 0.5102 data_time: 0.0365 memory: 18108 grad_norm: 2.9571 loss: 4.7410 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8476 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8934 2023/02/01 02:02:50 - mmengine - INFO - Epoch(train) [63][1380/1879] lr: 9.5923e-02 eta: 2 days, 3:27:15 time: 0.5067 data_time: 0.0374 memory: 18108 grad_norm: 2.9330 loss: 4.7780 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7539 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.0241 2023/02/01 02:03:00 - mmengine - INFO - Epoch(train) [63][1400/1879] lr: 9.5920e-02 eta: 2 days, 3:27:05 time: 0.5069 data_time: 0.0392 memory: 18108 grad_norm: 2.9315 loss: 4.7159 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8001 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9157 2023/02/01 02:03:11 - mmengine - INFO - Epoch(train) [63][1420/1879] lr: 9.5917e-02 eta: 2 days, 3:26:55 time: 0.5094 data_time: 0.0304 memory: 18108 grad_norm: 2.9926 loss: 4.6138 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 2.7033 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.9104 2023/02/01 02:03:21 - mmengine - INFO - Epoch(train) [63][1440/1879] lr: 9.5914e-02 eta: 2 days, 3:26:44 time: 0.5003 data_time: 0.0406 memory: 18108 grad_norm: 2.9190 loss: 4.6732 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6768 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.9963 2023/02/01 02:03:31 - mmengine - INFO - Epoch(train) [63][1460/1879] lr: 9.5911e-02 eta: 2 days, 3:26:33 time: 0.5011 data_time: 0.0389 memory: 18108 grad_norm: 2.9582 loss: 4.4420 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5306 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9114 2023/02/01 02:03:41 - mmengine - INFO - Epoch(train) [63][1480/1879] lr: 9.5908e-02 eta: 2 days, 3:26:22 time: 0.5031 data_time: 0.0380 memory: 18108 grad_norm: 3.0231 loss: 4.6638 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7003 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 1.9635 2023/02/01 02:03:51 - mmengine - INFO - Epoch(train) [63][1500/1879] lr: 9.5905e-02 eta: 2 days, 3:26:12 time: 0.5071 data_time: 0.0299 memory: 18108 grad_norm: 2.9696 loss: 4.7563 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.8023 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9540 2023/02/01 02:03:52 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 02:04:01 - mmengine - INFO - Epoch(train) [63][1520/1879] lr: 9.5902e-02 eta: 2 days, 3:26:01 time: 0.4964 data_time: 0.0380 memory: 18108 grad_norm: 2.9810 loss: 4.4591 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5473 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.9118 2023/02/01 02:04:11 - mmengine - INFO - Epoch(train) [63][1540/1879] lr: 9.5899e-02 eta: 2 days, 3:25:50 time: 0.5065 data_time: 0.0322 memory: 18108 grad_norm: 2.9419 loss: 4.8601 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.9186 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 1.9415 2023/02/01 02:04:21 - mmengine - INFO - Epoch(train) [63][1560/1879] lr: 9.5896e-02 eta: 2 days, 3:25:41 time: 0.5194 data_time: 0.0386 memory: 18108 grad_norm: 2.9905 loss: 4.5763 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5596 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.0167 2023/02/01 02:04:31 - mmengine - INFO - Epoch(train) [63][1580/1879] lr: 9.5893e-02 eta: 2 days, 3:25:30 time: 0.5004 data_time: 0.0302 memory: 18108 grad_norm: 2.9575 loss: 4.7683 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7912 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.9771 2023/02/01 02:04:42 - mmengine - INFO - Epoch(train) [63][1600/1879] lr: 9.5890e-02 eta: 2 days, 3:25:21 time: 0.5226 data_time: 0.0435 memory: 18108 grad_norm: 2.9195 loss: 4.3184 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.4094 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.9090 2023/02/01 02:04:52 - mmengine - INFO - Epoch(train) [63][1620/1879] lr: 9.5887e-02 eta: 2 days, 3:25:10 time: 0.5084 data_time: 0.0313 memory: 18108 grad_norm: 2.9803 loss: 4.7280 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.8731 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.8550 2023/02/01 02:05:02 - mmengine - INFO - Epoch(train) [63][1640/1879] lr: 9.5884e-02 eta: 2 days, 3:25:00 time: 0.5143 data_time: 0.0354 memory: 18108 grad_norm: 2.9682 loss: 4.4210 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4445 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.9766 2023/02/01 02:05:12 - mmengine - INFO - Epoch(train) [63][1660/1879] lr: 9.5881e-02 eta: 2 days, 3:24:50 time: 0.5032 data_time: 0.0410 memory: 18108 grad_norm: 2.9912 loss: 4.6332 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6432 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 1.9900 2023/02/01 02:05:23 - mmengine - INFO - Epoch(train) [63][1680/1879] lr: 9.5878e-02 eta: 2 days, 3:24:40 time: 0.5171 data_time: 0.0377 memory: 18108 grad_norm: 2.9889 loss: 4.7886 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8292 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.9595 2023/02/01 02:05:33 - mmengine - INFO - Epoch(train) [63][1700/1879] lr: 9.5875e-02 eta: 2 days, 3:24:30 time: 0.5092 data_time: 0.0314 memory: 18108 grad_norm: 2.9327 loss: 4.5983 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6749 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.9234 2023/02/01 02:05:43 - mmengine - INFO - Epoch(train) [63][1720/1879] lr: 9.5872e-02 eta: 2 days, 3:24:19 time: 0.5031 data_time: 0.0359 memory: 18108 grad_norm: 2.9233 loss: 4.5774 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6595 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.9178 2023/02/01 02:05:53 - mmengine - INFO - Epoch(train) [63][1740/1879] lr: 9.5869e-02 eta: 2 days, 3:24:10 time: 0.5208 data_time: 0.0395 memory: 18108 grad_norm: 2.9769 loss: 4.6629 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6851 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.9778 2023/02/01 02:06:04 - mmengine - INFO - Epoch(train) [63][1760/1879] lr: 9.5866e-02 eta: 2 days, 3:24:00 time: 0.5122 data_time: 0.0363 memory: 18108 grad_norm: 2.9321 loss: 4.4223 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5519 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.8704 2023/02/01 02:06:14 - mmengine - INFO - Epoch(train) [63][1780/1879] lr: 9.5863e-02 eta: 2 days, 3:23:49 time: 0.5020 data_time: 0.0307 memory: 18108 grad_norm: 3.0236 loss: 4.6970 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.7757 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9213 2023/02/01 02:06:24 - mmengine - INFO - Epoch(train) [63][1800/1879] lr: 9.5860e-02 eta: 2 days, 3:23:39 time: 0.5094 data_time: 0.0435 memory: 18108 grad_norm: 2.8755 loss: 4.5191 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5826 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.9365 2023/02/01 02:06:34 - mmengine - INFO - Epoch(train) [63][1820/1879] lr: 9.5857e-02 eta: 2 days, 3:23:28 time: 0.5107 data_time: 0.0305 memory: 18108 grad_norm: 2.9779 loss: 4.7043 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6794 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 2.0249 2023/02/01 02:06:44 - mmengine - INFO - Epoch(train) [63][1840/1879] lr: 9.5854e-02 eta: 2 days, 3:23:18 time: 0.5061 data_time: 0.0365 memory: 18108 grad_norm: 3.0146 loss: 4.6167 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.7083 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.9083 2023/02/01 02:06:54 - mmengine - INFO - Epoch(train) [63][1860/1879] lr: 9.5851e-02 eta: 2 days, 3:23:07 time: 0.4942 data_time: 0.0320 memory: 18108 grad_norm: 2.9868 loss: 4.7781 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7789 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.9992 2023/02/01 02:07:04 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 02:07:04 - mmengine - INFO - Epoch(train) [63][1879/1879] lr: 9.5848e-02 eta: 2 days, 3:22:56 time: 0.4964 data_time: 0.0390 memory: 18108 grad_norm: 2.9949 loss: 4.7406 top1_acc_0: 0.7143 top5_acc_0: 0.8571 loss_cls_0: 2.7540 top1_acc_1: 0.4706 top5_acc_1: 0.7882 loss_cls_1: 1.9866 2023/02/01 02:07:19 - mmengine - INFO - Epoch(train) [64][ 20/1879] lr: 9.5845e-02 eta: 2 days, 3:22:58 time: 0.7045 data_time: 0.2499 memory: 18108 grad_norm: 2.9626 loss: 4.7627 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.8313 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.9315 2023/02/01 02:07:28 - mmengine - INFO - Epoch(train) [64][ 40/1879] lr: 9.5842e-02 eta: 2 days, 3:22:45 time: 0.4636 data_time: 0.0352 memory: 18108 grad_norm: 2.9697 loss: 4.8913 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9567 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.9346 2023/02/01 02:07:37 - mmengine - INFO - Epoch(train) [64][ 60/1879] lr: 9.5839e-02 eta: 2 days, 3:22:32 time: 0.4721 data_time: 0.0375 memory: 18108 grad_norm: 2.9062 loss: 4.4730 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5259 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.9471 2023/02/01 02:07:47 - mmengine - INFO - Epoch(train) [64][ 80/1879] lr: 9.5836e-02 eta: 2 days, 3:22:22 time: 0.5047 data_time: 0.0437 memory: 18108 grad_norm: 2.9981 loss: 4.7507 top1_acc_0: 0.1250 top5_acc_0: 0.6875 loss_cls_0: 2.8045 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9462 2023/02/01 02:07:57 - mmengine - INFO - Epoch(train) [64][ 100/1879] lr: 9.5833e-02 eta: 2 days, 3:22:09 time: 0.4713 data_time: 0.0374 memory: 18108 grad_norm: 2.9578 loss: 4.5706 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7158 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.8549 2023/02/01 02:08:06 - mmengine - INFO - Epoch(train) [64][ 120/1879] lr: 9.5830e-02 eta: 2 days, 3:21:57 time: 0.4711 data_time: 0.0356 memory: 18108 grad_norm: 2.9103 loss: 4.4439 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5116 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.9324 2023/02/01 02:08:16 - mmengine - INFO - Epoch(train) [64][ 140/1879] lr: 9.5827e-02 eta: 2 days, 3:21:44 time: 0.4757 data_time: 0.0367 memory: 18108 grad_norm: 2.9810 loss: 4.7646 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8678 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.8968 2023/02/01 02:08:26 - mmengine - INFO - Epoch(train) [64][ 160/1879] lr: 9.5824e-02 eta: 2 days, 3:21:34 time: 0.5028 data_time: 0.0406 memory: 18108 grad_norm: 2.9883 loss: 4.4100 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4972 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.9128 2023/02/01 02:08:35 - mmengine - INFO - Epoch(train) [64][ 180/1879] lr: 9.5821e-02 eta: 2 days, 3:21:21 time: 0.4697 data_time: 0.0375 memory: 18108 grad_norm: 2.9709 loss: 4.4573 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6269 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.8304 2023/02/01 02:08:45 - mmengine - INFO - Epoch(train) [64][ 200/1879] lr: 9.5818e-02 eta: 2 days, 3:21:08 time: 0.4655 data_time: 0.0332 memory: 18108 grad_norm: 2.9834 loss: 4.2681 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.2916 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.9765 2023/02/01 02:08:54 - mmengine - INFO - Epoch(train) [64][ 220/1879] lr: 9.5815e-02 eta: 2 days, 3:20:57 time: 0.4969 data_time: 0.0353 memory: 18108 grad_norm: 3.0183 loss: 4.7757 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8396 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.9361 2023/02/01 02:09:04 - mmengine - INFO - Epoch(train) [64][ 240/1879] lr: 9.5812e-02 eta: 2 days, 3:20:46 time: 0.4881 data_time: 0.0395 memory: 18108 grad_norm: 3.0410 loss: 4.7249 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8734 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.8515 2023/02/01 02:09:14 - mmengine - INFO - Epoch(train) [64][ 260/1879] lr: 9.5809e-02 eta: 2 days, 3:20:33 time: 0.4705 data_time: 0.0362 memory: 18108 grad_norm: 2.9620 loss: 4.5215 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5279 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.9935 2023/02/01 02:09:23 - mmengine - INFO - Epoch(train) [64][ 280/1879] lr: 9.5806e-02 eta: 2 days, 3:20:21 time: 0.4760 data_time: 0.0343 memory: 18108 grad_norm: 2.9734 loss: 4.3967 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5069 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.8899 2023/02/01 02:09:33 - mmengine - INFO - Epoch(train) [64][ 300/1879] lr: 9.5803e-02 eta: 2 days, 3:20:09 time: 0.4839 data_time: 0.0346 memory: 18108 grad_norm: 2.9621 loss: 4.4350 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5893 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.8458 2023/02/01 02:09:43 - mmengine - INFO - Epoch(train) [64][ 320/1879] lr: 9.5800e-02 eta: 2 days, 3:19:57 time: 0.4906 data_time: 0.0410 memory: 18108 grad_norm: 2.9985 loss: 4.2441 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4629 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7812 2023/02/01 02:09:52 - mmengine - INFO - Epoch(train) [64][ 340/1879] lr: 9.5797e-02 eta: 2 days, 3:19:45 time: 0.4725 data_time: 0.0354 memory: 18108 grad_norm: 2.9486 loss: 4.5215 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6260 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8955 2023/02/01 02:10:02 - mmengine - INFO - Epoch(train) [64][ 360/1879] lr: 9.5794e-02 eta: 2 days, 3:19:33 time: 0.4782 data_time: 0.0366 memory: 18108 grad_norm: 2.9654 loss: 4.7169 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7510 top1_acc_1: 0.4941 top5_acc_1: 0.6824 loss_cls_1: 1.9659 2023/02/01 02:10:11 - mmengine - INFO - Epoch(train) [64][ 380/1879] lr: 9.5791e-02 eta: 2 days, 3:19:21 time: 0.4757 data_time: 0.0366 memory: 18108 grad_norm: 2.9178 loss: 4.5023 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5414 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.9609 2023/02/01 02:10:21 - mmengine - INFO - Epoch(train) [64][ 400/1879] lr: 9.5788e-02 eta: 2 days, 3:19:09 time: 0.4809 data_time: 0.0364 memory: 18108 grad_norm: 2.9696 loss: 4.6946 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7443 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 1.9503 2023/02/01 02:10:30 - mmengine - INFO - Epoch(train) [64][ 420/1879] lr: 9.5785e-02 eta: 2 days, 3:18:56 time: 0.4703 data_time: 0.0356 memory: 18108 grad_norm: 2.9846 loss: 4.6808 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7880 top1_acc_1: 0.4471 top5_acc_1: 0.7059 loss_cls_1: 1.8929 2023/02/01 02:10:40 - mmengine - INFO - Epoch(train) [64][ 440/1879] lr: 9.5782e-02 eta: 2 days, 3:18:44 time: 0.4786 data_time: 0.0356 memory: 18108 grad_norm: 3.0422 loss: 4.4281 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5257 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9024 2023/02/01 02:10:49 - mmengine - INFO - Epoch(train) [64][ 460/1879] lr: 9.5779e-02 eta: 2 days, 3:18:32 time: 0.4772 data_time: 0.0364 memory: 18108 grad_norm: 2.9567 loss: 4.5901 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7096 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8804 2023/02/01 02:10:59 - mmengine - INFO - Epoch(train) [64][ 480/1879] lr: 9.5776e-02 eta: 2 days, 3:18:20 time: 0.4866 data_time: 0.0409 memory: 18108 grad_norm: 2.8665 loss: 4.4145 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5390 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.8755 2023/02/01 02:11:09 - mmengine - INFO - Epoch(train) [64][ 500/1879] lr: 9.5773e-02 eta: 2 days, 3:18:08 time: 0.4786 data_time: 0.0383 memory: 18108 grad_norm: 2.9895 loss: 4.7036 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7279 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9757 2023/02/01 02:11:18 - mmengine - INFO - Epoch(train) [64][ 520/1879] lr: 9.5770e-02 eta: 2 days, 3:17:56 time: 0.4761 data_time: 0.0346 memory: 18108 grad_norm: 2.9610 loss: 4.4971 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5687 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9284 2023/02/01 02:11:28 - mmengine - INFO - Epoch(train) [64][ 540/1879] lr: 9.5767e-02 eta: 2 days, 3:17:43 time: 0.4700 data_time: 0.0372 memory: 18108 grad_norm: 2.9680 loss: 4.6831 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.7529 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.9302 2023/02/01 02:11:37 - mmengine - INFO - Epoch(train) [64][ 560/1879] lr: 9.5764e-02 eta: 2 days, 3:17:31 time: 0.4862 data_time: 0.0435 memory: 18108 grad_norm: 2.9587 loss: 4.7423 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7640 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9783 2023/02/01 02:11:47 - mmengine - INFO - Epoch(train) [64][ 580/1879] lr: 9.5761e-02 eta: 2 days, 3:17:20 time: 0.4919 data_time: 0.0373 memory: 18108 grad_norm: 2.9641 loss: 4.4323 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4692 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9630 2023/02/01 02:11:57 - mmengine - INFO - Epoch(train) [64][ 600/1879] lr: 9.5758e-02 eta: 2 days, 3:17:08 time: 0.4734 data_time: 0.0360 memory: 18108 grad_norm: 2.9432 loss: 4.5321 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5531 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9791 2023/02/01 02:12:06 - mmengine - INFO - Epoch(train) [64][ 620/1879] lr: 9.5755e-02 eta: 2 days, 3:16:55 time: 0.4731 data_time: 0.0375 memory: 18108 grad_norm: 2.9384 loss: 4.5796 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.6572 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9223 2023/02/01 02:12:08 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 02:12:16 - mmengine - INFO - Epoch(train) [64][ 640/1879] lr: 9.5752e-02 eta: 2 days, 3:16:44 time: 0.4868 data_time: 0.0335 memory: 18108 grad_norm: 2.9738 loss: 4.4648 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5617 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.9031 2023/02/01 02:12:26 - mmengine - INFO - Epoch(train) [64][ 660/1879] lr: 9.5749e-02 eta: 2 days, 3:16:32 time: 0.4935 data_time: 0.0368 memory: 18108 grad_norm: 3.0154 loss: 4.5234 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5527 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.9706 2023/02/01 02:12:35 - mmengine - INFO - Epoch(train) [64][ 680/1879] lr: 9.5746e-02 eta: 2 days, 3:16:20 time: 0.4715 data_time: 0.0300 memory: 18108 grad_norm: 3.0079 loss: 4.7022 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7780 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.9241 2023/02/01 02:12:45 - mmengine - INFO - Epoch(train) [64][ 700/1879] lr: 9.5743e-02 eta: 2 days, 3:16:08 time: 0.4770 data_time: 0.0375 memory: 18108 grad_norm: 3.0171 loss: 4.8410 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.8382 top1_acc_1: 0.5412 top5_acc_1: 0.7059 loss_cls_1: 2.0027 2023/02/01 02:12:55 - mmengine - INFO - Epoch(train) [64][ 720/1879] lr: 9.5740e-02 eta: 2 days, 3:15:57 time: 0.4993 data_time: 0.0296 memory: 18108 grad_norm: 3.0007 loss: 4.5428 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6845 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.8583 2023/02/01 02:13:05 - mmengine - INFO - Epoch(train) [64][ 740/1879] lr: 9.5737e-02 eta: 2 days, 3:15:46 time: 0.4968 data_time: 0.0423 memory: 18108 grad_norm: 2.9122 loss: 4.4847 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6375 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.8472 2023/02/01 02:13:14 - mmengine - INFO - Epoch(train) [64][ 760/1879] lr: 9.5734e-02 eta: 2 days, 3:15:34 time: 0.4756 data_time: 0.0310 memory: 18108 grad_norm: 2.9317 loss: 4.8296 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.8285 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 2.0011 2023/02/01 02:13:24 - mmengine - INFO - Epoch(train) [64][ 780/1879] lr: 9.5730e-02 eta: 2 days, 3:15:22 time: 0.4859 data_time: 0.0389 memory: 18108 grad_norm: 2.9591 loss: 4.8189 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8965 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.9224 2023/02/01 02:13:34 - mmengine - INFO - Epoch(train) [64][ 800/1879] lr: 9.5727e-02 eta: 2 days, 3:15:11 time: 0.4942 data_time: 0.0302 memory: 18108 grad_norm: 3.0007 loss: 4.4976 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5460 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.9516 2023/02/01 02:13:44 - mmengine - INFO - Epoch(train) [64][ 820/1879] lr: 9.5724e-02 eta: 2 days, 3:15:00 time: 0.4974 data_time: 0.0379 memory: 18108 grad_norm: 2.9703 loss: 4.5625 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7121 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8504 2023/02/01 02:13:53 - mmengine - INFO - Epoch(train) [64][ 840/1879] lr: 9.5721e-02 eta: 2 days, 3:14:47 time: 0.4755 data_time: 0.0316 memory: 18108 grad_norm: 2.9692 loss: 4.7541 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.8155 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.9386 2023/02/01 02:14:03 - mmengine - INFO - Epoch(train) [64][ 860/1879] lr: 9.5718e-02 eta: 2 days, 3:14:36 time: 0.4876 data_time: 0.0446 memory: 18108 grad_norm: 2.9113 loss: 4.8727 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8148 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 2.0579 2023/02/01 02:14:13 - mmengine - INFO - Epoch(train) [64][ 880/1879] lr: 9.5715e-02 eta: 2 days, 3:14:25 time: 0.5021 data_time: 0.0298 memory: 18108 grad_norm: 2.9791 loss: 4.4454 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.4552 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9902 2023/02/01 02:14:23 - mmengine - INFO - Epoch(train) [64][ 900/1879] lr: 9.5712e-02 eta: 2 days, 3:14:13 time: 0.4813 data_time: 0.0361 memory: 18108 grad_norm: 2.9471 loss: 4.3921 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5582 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8338 2023/02/01 02:14:32 - mmengine - INFO - Epoch(train) [64][ 920/1879] lr: 9.5709e-02 eta: 2 days, 3:14:01 time: 0.4804 data_time: 0.0294 memory: 18108 grad_norm: 2.9470 loss: 4.5652 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6019 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9632 2023/02/01 02:14:42 - mmengine - INFO - Epoch(train) [64][ 940/1879] lr: 9.5706e-02 eta: 2 days, 3:13:50 time: 0.4947 data_time: 0.0378 memory: 18108 grad_norm: 3.0278 loss: 4.4773 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5706 top1_acc_1: 0.6353 top5_acc_1: 0.7647 loss_cls_1: 1.9067 2023/02/01 02:14:52 - mmengine - INFO - Epoch(train) [64][ 960/1879] lr: 9.5703e-02 eta: 2 days, 3:13:39 time: 0.4948 data_time: 0.0303 memory: 18108 grad_norm: 2.9847 loss: 4.6471 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7054 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.9417 2023/02/01 02:15:02 - mmengine - INFO - Epoch(train) [64][ 980/1879] lr: 9.5700e-02 eta: 2 days, 3:13:28 time: 0.4904 data_time: 0.0453 memory: 18108 grad_norm: 2.9241 loss: 4.6500 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7595 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 1.8906 2023/02/01 02:15:11 - mmengine - INFO - Epoch(train) [64][1000/1879] lr: 9.5697e-02 eta: 2 days, 3:13:15 time: 0.4699 data_time: 0.0281 memory: 18108 grad_norm: 2.9752 loss: 4.6012 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5581 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 2.0431 2023/02/01 02:15:22 - mmengine - INFO - Epoch(train) [64][1020/1879] lr: 9.5694e-02 eta: 2 days, 3:13:04 time: 0.5030 data_time: 0.0396 memory: 18108 grad_norm: 2.9878 loss: 4.8407 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8713 top1_acc_1: 0.5059 top5_acc_1: 0.8235 loss_cls_1: 1.9694 2023/02/01 02:15:32 - mmengine - INFO - Epoch(train) [64][1040/1879] lr: 9.5691e-02 eta: 2 days, 3:12:54 time: 0.5060 data_time: 0.0358 memory: 18108 grad_norm: 2.9419 loss: 4.8960 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9947 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9014 2023/02/01 02:15:42 - mmengine - INFO - Epoch(train) [64][1060/1879] lr: 9.5688e-02 eta: 2 days, 3:12:43 time: 0.4923 data_time: 0.0381 memory: 18108 grad_norm: 3.0162 loss: 4.7437 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7985 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.9452 2023/02/01 02:15:51 - mmengine - INFO - Epoch(train) [64][1080/1879] lr: 9.5685e-02 eta: 2 days, 3:12:31 time: 0.4847 data_time: 0.0299 memory: 18108 grad_norm: 2.9737 loss: 4.4947 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5772 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.9176 2023/02/01 02:16:01 - mmengine - INFO - Epoch(train) [64][1100/1879] lr: 9.5682e-02 eta: 2 days, 3:12:21 time: 0.5041 data_time: 0.0371 memory: 18108 grad_norm: 2.9862 loss: 4.6168 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.7016 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.9152 2023/02/01 02:16:11 - mmengine - INFO - Epoch(train) [64][1120/1879] lr: 9.5679e-02 eta: 2 days, 3:12:09 time: 0.4935 data_time: 0.0306 memory: 18108 grad_norm: 2.9318 loss: 4.8465 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7268 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 2.1197 2023/02/01 02:16:21 - mmengine - INFO - Epoch(train) [64][1140/1879] lr: 9.5675e-02 eta: 2 days, 3:11:58 time: 0.4893 data_time: 0.0399 memory: 18108 grad_norm: 2.9371 loss: 4.6716 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7143 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.9574 2023/02/01 02:16:31 - mmengine - INFO - Epoch(train) [64][1160/1879] lr: 9.5672e-02 eta: 2 days, 3:11:46 time: 0.4862 data_time: 0.0289 memory: 18108 grad_norm: 2.9887 loss: 4.5230 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5709 top1_acc_1: 0.5882 top5_acc_1: 0.7176 loss_cls_1: 1.9521 2023/02/01 02:16:41 - mmengine - INFO - Epoch(train) [64][1180/1879] lr: 9.5669e-02 eta: 2 days, 3:11:36 time: 0.5023 data_time: 0.0442 memory: 18108 grad_norm: 3.0126 loss: 4.6572 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7746 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.8826 2023/02/01 02:16:50 - mmengine - INFO - Epoch(train) [64][1200/1879] lr: 9.5666e-02 eta: 2 days, 3:11:24 time: 0.4798 data_time: 0.0297 memory: 18108 grad_norm: 2.9482 loss: 4.7400 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.8168 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.9232 2023/02/01 02:17:00 - mmengine - INFO - Epoch(train) [64][1220/1879] lr: 9.5663e-02 eta: 2 days, 3:11:12 time: 0.4923 data_time: 0.0380 memory: 18108 grad_norm: 2.9242 loss: 4.7416 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7695 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 1.9720 2023/02/01 02:17:10 - mmengine - INFO - Epoch(train) [64][1240/1879] lr: 9.5660e-02 eta: 2 days, 3:11:01 time: 0.4940 data_time: 0.0352 memory: 18108 grad_norm: 2.9490 loss: 4.3020 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.4305 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8716 2023/02/01 02:17:20 - mmengine - INFO - Epoch(train) [64][1260/1879] lr: 9.5657e-02 eta: 2 days, 3:10:51 time: 0.5030 data_time: 0.0388 memory: 18108 grad_norm: 2.9551 loss: 4.4806 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.6433 top1_acc_1: 0.5412 top5_acc_1: 0.8471 loss_cls_1: 1.8373 2023/02/01 02:17:30 - mmengine - INFO - Epoch(train) [64][1280/1879] lr: 9.5654e-02 eta: 2 days, 3:10:38 time: 0.4762 data_time: 0.0296 memory: 18108 grad_norm: 2.9449 loss: 4.4823 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6549 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.8274 2023/02/01 02:17:40 - mmengine - INFO - Epoch(train) [64][1300/1879] lr: 9.5651e-02 eta: 2 days, 3:10:28 time: 0.5035 data_time: 0.0434 memory: 18108 grad_norm: 2.9813 loss: 4.6529 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.6830 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9700 2023/02/01 02:17:50 - mmengine - INFO - Epoch(train) [64][1320/1879] lr: 9.5648e-02 eta: 2 days, 3:10:16 time: 0.4895 data_time: 0.0300 memory: 18108 grad_norm: 2.9469 loss: 4.5090 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6485 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.8605 2023/02/01 02:18:00 - mmengine - INFO - Epoch(train) [64][1340/1879] lr: 9.5645e-02 eta: 2 days, 3:10:06 time: 0.5030 data_time: 0.0376 memory: 18108 grad_norm: 2.9087 loss: 4.6500 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7133 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9367 2023/02/01 02:18:09 - mmengine - INFO - Epoch(train) [64][1360/1879] lr: 9.5642e-02 eta: 2 days, 3:09:54 time: 0.4779 data_time: 0.0298 memory: 18108 grad_norm: 3.0186 loss: 4.8107 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8865 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 1.9242 2023/02/01 02:18:20 - mmengine - INFO - Epoch(train) [64][1380/1879] lr: 9.5639e-02 eta: 2 days, 3:09:44 time: 0.5160 data_time: 0.0373 memory: 18108 grad_norm: 2.9785 loss: 4.5695 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6343 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9352 2023/02/01 02:18:29 - mmengine - INFO - Epoch(train) [64][1400/1879] lr: 9.5636e-02 eta: 2 days, 3:09:32 time: 0.4757 data_time: 0.0282 memory: 18108 grad_norm: 2.9315 loss: 4.4025 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.4682 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9344 2023/02/01 02:18:39 - mmengine - INFO - Epoch(train) [64][1420/1879] lr: 9.5633e-02 eta: 2 days, 3:09:21 time: 0.4973 data_time: 0.0395 memory: 18108 grad_norm: 2.9315 loss: 4.5347 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.4901 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 2.0446 2023/02/01 02:18:49 - mmengine - INFO - Epoch(train) [64][1440/1879] lr: 9.5629e-02 eta: 2 days, 3:09:09 time: 0.4805 data_time: 0.0308 memory: 18108 grad_norm: 3.0168 loss: 4.7321 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8090 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.9231 2023/02/01 02:18:59 - mmengine - INFO - Epoch(train) [64][1460/1879] lr: 9.5626e-02 eta: 2 days, 3:08:59 time: 0.5170 data_time: 0.0475 memory: 18108 grad_norm: 3.0166 loss: 4.7501 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.8166 top1_acc_1: 0.5647 top5_acc_1: 0.6824 loss_cls_1: 1.9335 2023/02/01 02:19:09 - mmengine - INFO - Epoch(train) [64][1480/1879] lr: 9.5623e-02 eta: 2 days, 3:08:47 time: 0.4857 data_time: 0.0293 memory: 18108 grad_norm: 2.9582 loss: 4.7927 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8002 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.9926 2023/02/01 02:19:19 - mmengine - INFO - Epoch(train) [64][1500/1879] lr: 9.5620e-02 eta: 2 days, 3:08:36 time: 0.4995 data_time: 0.0363 memory: 18108 grad_norm: 2.9222 loss: 4.7110 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7196 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.9914 2023/02/01 02:19:29 - mmengine - INFO - Epoch(train) [64][1520/1879] lr: 9.5617e-02 eta: 2 days, 3:08:25 time: 0.4890 data_time: 0.0288 memory: 18108 grad_norm: 2.9742 loss: 4.6301 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7584 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8717 2023/02/01 02:19:39 - mmengine - INFO - Epoch(train) [64][1540/1879] lr: 9.5614e-02 eta: 2 days, 3:08:15 time: 0.5067 data_time: 0.0398 memory: 18108 grad_norm: 2.9124 loss: 4.7335 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7069 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 2.0266 2023/02/01 02:19:48 - mmengine - INFO - Epoch(train) [64][1560/1879] lr: 9.5611e-02 eta: 2 days, 3:08:03 time: 0.4805 data_time: 0.0319 memory: 18108 grad_norm: 2.9546 loss: 4.3177 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.4873 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 1.8303 2023/02/01 02:19:58 - mmengine - INFO - Epoch(train) [64][1580/1879] lr: 9.5608e-02 eta: 2 days, 3:07:52 time: 0.5027 data_time: 0.0401 memory: 18108 grad_norm: 2.9893 loss: 4.6570 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6824 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9745 2023/02/01 02:20:08 - mmengine - INFO - Epoch(train) [64][1600/1879] lr: 9.5605e-02 eta: 2 days, 3:07:40 time: 0.4889 data_time: 0.0291 memory: 18108 grad_norm: 2.9947 loss: 4.6377 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.7296 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.9081 2023/02/01 02:20:18 - mmengine - INFO - Epoch(train) [64][1620/1879] lr: 9.5602e-02 eta: 2 days, 3:07:30 time: 0.5025 data_time: 0.0357 memory: 18108 grad_norm: 3.0002 loss: 4.5702 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6632 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.9069 2023/02/01 02:20:20 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 02:20:28 - mmengine - INFO - Epoch(train) [64][1640/1879] lr: 9.5599e-02 eta: 2 days, 3:07:18 time: 0.4842 data_time: 0.0286 memory: 18108 grad_norm: 2.9903 loss: 4.6381 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6478 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 1.9902 2023/02/01 02:20:38 - mmengine - INFO - Epoch(train) [64][1660/1879] lr: 9.5595e-02 eta: 2 days, 3:07:09 time: 0.5244 data_time: 0.0437 memory: 18108 grad_norm: 3.0436 loss: 4.6677 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6696 top1_acc_1: 0.4235 top5_acc_1: 0.7882 loss_cls_1: 1.9981 2023/02/01 02:20:48 - mmengine - INFO - Epoch(train) [64][1680/1879] lr: 9.5592e-02 eta: 2 days, 3:06:58 time: 0.5026 data_time: 0.0300 memory: 18108 grad_norm: 2.9539 loss: 4.6237 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6260 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.9977 2023/02/01 02:20:58 - mmengine - INFO - Epoch(train) [64][1700/1879] lr: 9.5589e-02 eta: 2 days, 3:06:47 time: 0.4951 data_time: 0.0356 memory: 18108 grad_norm: 2.9239 loss: 4.6650 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7407 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.9243 2023/02/01 02:21:08 - mmengine - INFO - Epoch(train) [64][1720/1879] lr: 9.5586e-02 eta: 2 days, 3:06:36 time: 0.4943 data_time: 0.0342 memory: 18108 grad_norm: 2.9526 loss: 4.7417 top1_acc_0: 0.3125 top5_acc_0: 0.8750 loss_cls_0: 2.7006 top1_acc_1: 0.4353 top5_acc_1: 0.7059 loss_cls_1: 2.0411 2023/02/01 02:21:19 - mmengine - INFO - Epoch(train) [64][1740/1879] lr: 9.5583e-02 eta: 2 days, 3:06:26 time: 0.5185 data_time: 0.0361 memory: 18108 grad_norm: 2.9857 loss: 4.7236 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7727 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9509 2023/02/01 02:21:29 - mmengine - INFO - Epoch(train) [64][1760/1879] lr: 9.5580e-02 eta: 2 days, 3:06:16 time: 0.5038 data_time: 0.0303 memory: 18108 grad_norm: 2.9384 loss: 4.8331 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.8664 top1_acc_1: 0.4706 top5_acc_1: 0.8118 loss_cls_1: 1.9667 2023/02/01 02:21:39 - mmengine - INFO - Epoch(train) [64][1780/1879] lr: 9.5577e-02 eta: 2 days, 3:06:05 time: 0.5023 data_time: 0.0377 memory: 18108 grad_norm: 2.9717 loss: 4.6098 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6844 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9254 2023/02/01 02:21:49 - mmengine - INFO - Epoch(train) [64][1800/1879] lr: 9.5574e-02 eta: 2 days, 3:05:55 time: 0.5074 data_time: 0.0407 memory: 18108 grad_norm: 2.9313 loss: 4.7857 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7450 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 2.0407 2023/02/01 02:21:59 - mmengine - INFO - Epoch(train) [64][1820/1879] lr: 9.5571e-02 eta: 2 days, 3:05:45 time: 0.5212 data_time: 0.0366 memory: 18108 grad_norm: 2.9660 loss: 4.5343 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6757 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8585 2023/02/01 02:22:09 - mmengine - INFO - Epoch(train) [64][1840/1879] lr: 9.5568e-02 eta: 2 days, 3:05:34 time: 0.4920 data_time: 0.0298 memory: 18108 grad_norm: 2.9353 loss: 4.5493 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6415 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9077 2023/02/01 02:22:19 - mmengine - INFO - Epoch(train) [64][1860/1879] lr: 9.5565e-02 eta: 2 days, 3:05:24 time: 0.5127 data_time: 0.0439 memory: 18108 grad_norm: 2.9375 loss: 4.6753 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.7012 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 1.9741 2023/02/01 02:22:29 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 02:22:29 - mmengine - INFO - Epoch(train) [64][1879/1879] lr: 9.5562e-02 eta: 2 days, 3:05:12 time: 0.4809 data_time: 0.0265 memory: 18108 grad_norm: 2.9063 loss: 4.5208 top1_acc_0: 0.4286 top5_acc_0: 0.5714 loss_cls_0: 2.5147 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 2.0061 2023/02/01 02:22:29 - mmengine - INFO - Saving checkpoint at 64 epochs 2023/02/01 02:22:40 - mmengine - INFO - Epoch(val) [64][ 20/155] eta: 0:01:01 time: 0.4590 data_time: 0.3459 memory: 1906 2023/02/01 02:22:49 - mmengine - INFO - Epoch(val) [64][ 40/155] eta: 0:00:51 time: 0.4404 data_time: 0.3286 memory: 1906 2023/02/01 02:22:57 - mmengine - INFO - Epoch(val) [64][ 60/155] eta: 0:00:41 time: 0.4249 data_time: 0.3136 memory: 1906 2023/02/01 02:23:06 - mmengine - INFO - Epoch(val) [64][ 80/155] eta: 0:00:33 time: 0.4620 data_time: 0.3508 memory: 1906 2023/02/01 02:23:15 - mmengine - INFO - Epoch(val) [64][100/155] eta: 0:00:24 time: 0.4478 data_time: 0.3370 memory: 1906 2023/02/01 02:23:24 - mmengine - INFO - Epoch(val) [64][120/155] eta: 0:00:15 time: 0.4464 data_time: 0.3357 memory: 1906 2023/02/01 02:23:33 - mmengine - INFO - Epoch(val) [64][140/155] eta: 0:00:06 time: 0.4361 data_time: 0.3262 memory: 1906 2023/02/01 02:23:41 - mmengine - INFO - Epoch(val) [64][155/155] acc/top1: 0.4509 acc/top5: 0.7071 acc/mean1: 0.4508 2023/02/01 02:23:41 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_48.pth is removed 2023/02/01 02:23:42 - mmengine - INFO - The best checkpoint with 0.4509 acc/top1 at 64 epoch is saved to best_acc/top1_epoch_64.pth. 2023/02/01 02:23:56 - mmengine - INFO - Epoch(train) [65][ 20/1879] lr: 9.5558e-02 eta: 2 days, 3:05:13 time: 0.6811 data_time: 0.2407 memory: 18108 grad_norm: 2.8748 loss: 4.5991 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6225 top1_acc_1: 0.4706 top5_acc_1: 0.6824 loss_cls_1: 1.9766 2023/02/01 02:24:05 - mmengine - INFO - Epoch(train) [65][ 40/1879] lr: 9.5555e-02 eta: 2 days, 3:05:00 time: 0.4728 data_time: 0.0315 memory: 18108 grad_norm: 2.9533 loss: 4.5147 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5728 top1_acc_1: 0.4824 top5_acc_1: 0.8000 loss_cls_1: 1.9419 2023/02/01 02:24:15 - mmengine - INFO - Epoch(train) [65][ 60/1879] lr: 9.5552e-02 eta: 2 days, 3:04:49 time: 0.4929 data_time: 0.0389 memory: 18108 grad_norm: 2.9777 loss: 4.6219 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.7270 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8948 2023/02/01 02:24:25 - mmengine - INFO - Epoch(train) [65][ 80/1879] lr: 9.5549e-02 eta: 2 days, 3:04:38 time: 0.5047 data_time: 0.0416 memory: 18108 grad_norm: 2.9567 loss: 4.9234 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9962 top1_acc_1: 0.5647 top5_acc_1: 0.7059 loss_cls_1: 1.9272 2023/02/01 02:24:35 - mmengine - INFO - Epoch(train) [65][ 100/1879] lr: 9.5546e-02 eta: 2 days, 3:04:27 time: 0.4814 data_time: 0.0372 memory: 18108 grad_norm: 2.9180 loss: 4.5678 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6698 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.8980 2023/02/01 02:24:44 - mmengine - INFO - Epoch(train) [65][ 120/1879] lr: 9.5543e-02 eta: 2 days, 3:04:14 time: 0.4701 data_time: 0.0298 memory: 18108 grad_norm: 2.9584 loss: 4.6558 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7477 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9081 2023/02/01 02:24:55 - mmengine - INFO - Epoch(train) [65][ 140/1879] lr: 9.5540e-02 eta: 2 days, 3:04:04 time: 0.5085 data_time: 0.0436 memory: 18108 grad_norm: 2.9535 loss: 4.5362 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5904 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9458 2023/02/01 02:25:04 - mmengine - INFO - Epoch(train) [65][ 160/1879] lr: 9.5537e-02 eta: 2 days, 3:03:52 time: 0.4838 data_time: 0.0290 memory: 18108 grad_norm: 2.9596 loss: 4.6405 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7434 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.8971 2023/02/01 02:25:14 - mmengine - INFO - Epoch(train) [65][ 180/1879] lr: 9.5534e-02 eta: 2 days, 3:03:40 time: 0.4804 data_time: 0.0363 memory: 18108 grad_norm: 2.9727 loss: 4.4085 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5495 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8590 2023/02/01 02:25:23 - mmengine - INFO - Epoch(train) [65][ 200/1879] lr: 9.5531e-02 eta: 2 days, 3:03:28 time: 0.4797 data_time: 0.0359 memory: 18108 grad_norm: 2.9798 loss: 4.5398 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5330 top1_acc_1: 0.5059 top5_acc_1: 0.8235 loss_cls_1: 2.0068 2023/02/01 02:25:33 - mmengine - INFO - Epoch(train) [65][ 220/1879] lr: 9.5527e-02 eta: 2 days, 3:03:17 time: 0.4979 data_time: 0.0367 memory: 18108 grad_norm: 2.9653 loss: 4.4995 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6377 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8617 2023/02/01 02:25:43 - mmengine - INFO - Epoch(train) [65][ 240/1879] lr: 9.5524e-02 eta: 2 days, 3:03:05 time: 0.4725 data_time: 0.0292 memory: 18108 grad_norm: 2.9146 loss: 4.2672 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3945 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.8727 2023/02/01 02:25:53 - mmengine - INFO - Epoch(train) [65][ 260/1879] lr: 9.5521e-02 eta: 2 days, 3:02:53 time: 0.4927 data_time: 0.0357 memory: 18108 grad_norm: 2.9815 loss: 4.4436 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5652 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8784 2023/02/01 02:26:03 - mmengine - INFO - Epoch(train) [65][ 280/1879] lr: 9.5518e-02 eta: 2 days, 3:02:43 time: 0.4994 data_time: 0.0366 memory: 18108 grad_norm: 2.9506 loss: 4.5618 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6203 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9415 2023/02/01 02:26:12 - mmengine - INFO - Epoch(train) [65][ 300/1879] lr: 9.5515e-02 eta: 2 days, 3:02:31 time: 0.4803 data_time: 0.0374 memory: 18108 grad_norm: 2.9834 loss: 4.3835 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.4756 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9079 2023/02/01 02:26:22 - mmengine - INFO - Epoch(train) [65][ 320/1879] lr: 9.5512e-02 eta: 2 days, 3:02:18 time: 0.4747 data_time: 0.0291 memory: 18108 grad_norm: 2.9948 loss: 4.6843 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7956 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.8887 2023/02/01 02:26:32 - mmengine - INFO - Epoch(train) [65][ 340/1879] lr: 9.5509e-02 eta: 2 days, 3:02:08 time: 0.5036 data_time: 0.0379 memory: 18108 grad_norm: 2.9702 loss: 4.5202 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6580 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8622 2023/02/01 02:26:42 - mmengine - INFO - Epoch(train) [65][ 360/1879] lr: 9.5506e-02 eta: 2 days, 3:01:56 time: 0.4833 data_time: 0.0278 memory: 18108 grad_norm: 3.0320 loss: 4.6362 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6979 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.9383 2023/02/01 02:26:51 - mmengine - INFO - Epoch(train) [65][ 380/1879] lr: 9.5502e-02 eta: 2 days, 3:01:44 time: 0.4854 data_time: 0.0382 memory: 18108 grad_norm: 3.0347 loss: 4.6292 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6971 top1_acc_1: 0.4353 top5_acc_1: 0.7176 loss_cls_1: 1.9321 2023/02/01 02:27:01 - mmengine - INFO - Epoch(train) [65][ 400/1879] lr: 9.5499e-02 eta: 2 days, 3:01:33 time: 0.4893 data_time: 0.0353 memory: 18108 grad_norm: 3.0230 loss: 4.7119 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7817 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.9302 2023/02/01 02:27:11 - mmengine - INFO - Epoch(train) [65][ 420/1879] lr: 9.5496e-02 eta: 2 days, 3:01:22 time: 0.5044 data_time: 0.0377 memory: 18108 grad_norm: 2.9700 loss: 4.5338 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.6105 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 1.9234 2023/02/01 02:27:21 - mmengine - INFO - Epoch(train) [65][ 440/1879] lr: 9.5493e-02 eta: 2 days, 3:01:10 time: 0.4700 data_time: 0.0297 memory: 18108 grad_norm: 3.0272 loss: 4.5878 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6962 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8915 2023/02/01 02:27:31 - mmengine - INFO - Epoch(train) [65][ 460/1879] lr: 9.5490e-02 eta: 2 days, 3:00:59 time: 0.4966 data_time: 0.0390 memory: 18108 grad_norm: 2.9996 loss: 4.4409 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.4901 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 1.9509 2023/02/01 02:27:40 - mmengine - INFO - Epoch(train) [65][ 480/1879] lr: 9.5487e-02 eta: 2 days, 3:00:47 time: 0.4729 data_time: 0.0287 memory: 18108 grad_norm: 2.9897 loss: 4.6411 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7900 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8511 2023/02/01 02:27:50 - mmengine - INFO - Epoch(train) [65][ 500/1879] lr: 9.5484e-02 eta: 2 days, 3:00:36 time: 0.5003 data_time: 0.0365 memory: 18108 grad_norm: 2.9965 loss: 4.7461 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.8333 top1_acc_1: 0.5765 top5_acc_1: 0.7294 loss_cls_1: 1.9128 2023/02/01 02:27:59 - mmengine - INFO - Epoch(train) [65][ 520/1879] lr: 9.5481e-02 eta: 2 days, 3:00:23 time: 0.4704 data_time: 0.0297 memory: 18108 grad_norm: 2.9392 loss: 4.4787 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5106 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9681 2023/02/01 02:28:10 - mmengine - INFO - Epoch(train) [65][ 540/1879] lr: 9.5477e-02 eta: 2 days, 3:00:13 time: 0.5021 data_time: 0.0422 memory: 18108 grad_norm: 3.0044 loss: 4.5828 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6041 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.9787 2023/02/01 02:28:19 - mmengine - INFO - Epoch(train) [65][ 560/1879] lr: 9.5474e-02 eta: 2 days, 3:00:00 time: 0.4750 data_time: 0.0299 memory: 18108 grad_norm: 2.9867 loss: 4.6245 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7523 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8722 2023/02/01 02:28:29 - mmengine - INFO - Epoch(train) [65][ 580/1879] lr: 9.5471e-02 eta: 2 days, 2:59:49 time: 0.4893 data_time: 0.0372 memory: 18108 grad_norm: 2.9669 loss: 4.6244 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 2.7202 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.9042 2023/02/01 02:28:39 - mmengine - INFO - Epoch(train) [65][ 600/1879] lr: 9.5468e-02 eta: 2 days, 2:59:38 time: 0.4938 data_time: 0.0379 memory: 18108 grad_norm: 2.9998 loss: 4.6249 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.7313 top1_acc_1: 0.5059 top5_acc_1: 0.8471 loss_cls_1: 1.8936 2023/02/01 02:28:49 - mmengine - INFO - Epoch(train) [65][ 620/1879] lr: 9.5465e-02 eta: 2 days, 2:59:26 time: 0.4890 data_time: 0.0390 memory: 18108 grad_norm: 2.9778 loss: 4.4125 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5174 top1_acc_1: 0.6471 top5_acc_1: 0.7529 loss_cls_1: 1.8951 2023/02/01 02:28:58 - mmengine - INFO - Epoch(train) [65][ 640/1879] lr: 9.5462e-02 eta: 2 days, 2:59:14 time: 0.4765 data_time: 0.0292 memory: 18108 grad_norm: 2.9476 loss: 4.4685 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5558 top1_acc_1: 0.4824 top5_acc_1: 0.8000 loss_cls_1: 1.9127 2023/02/01 02:29:08 - mmengine - INFO - Epoch(train) [65][ 660/1879] lr: 9.5459e-02 eta: 2 days, 2:59:04 time: 0.5019 data_time: 0.0431 memory: 18108 grad_norm: 2.9501 loss: 4.6324 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6850 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9474 2023/02/01 02:29:18 - mmengine - INFO - Epoch(train) [65][ 680/1879] lr: 9.5456e-02 eta: 2 days, 2:58:52 time: 0.4863 data_time: 0.0317 memory: 18108 grad_norm: 2.9479 loss: 4.3906 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4645 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.9261 2023/02/01 02:29:28 - mmengine - INFO - Epoch(train) [65][ 700/1879] lr: 9.5452e-02 eta: 2 days, 2:58:41 time: 0.4893 data_time: 0.0375 memory: 18108 grad_norm: 3.0480 loss: 4.5046 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5734 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.9312 2023/02/01 02:29:37 - mmengine - INFO - Epoch(train) [65][ 720/1879] lr: 9.5449e-02 eta: 2 days, 2:58:28 time: 0.4736 data_time: 0.0285 memory: 18108 grad_norm: 2.9825 loss: 4.7995 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7394 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 2.0601 2023/02/01 02:29:47 - mmengine - INFO - Epoch(train) [65][ 740/1879] lr: 9.5446e-02 eta: 2 days, 2:58:17 time: 0.4969 data_time: 0.0452 memory: 18108 grad_norm: 3.0255 loss: 4.3082 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4670 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8412 2023/02/01 02:29:49 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 02:29:57 - mmengine - INFO - Epoch(train) [65][ 760/1879] lr: 9.5443e-02 eta: 2 days, 2:58:05 time: 0.4820 data_time: 0.0298 memory: 18108 grad_norm: 2.9677 loss: 4.7969 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.8524 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.9445 2023/02/01 02:30:06 - mmengine - INFO - Epoch(train) [65][ 780/1879] lr: 9.5440e-02 eta: 2 days, 2:57:54 time: 0.4822 data_time: 0.0386 memory: 18108 grad_norm: 2.9661 loss: 4.5176 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5252 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.9924 2023/02/01 02:30:16 - mmengine - INFO - Epoch(train) [65][ 800/1879] lr: 9.5437e-02 eta: 2 days, 2:57:42 time: 0.4829 data_time: 0.0286 memory: 18108 grad_norm: 2.9321 loss: 4.4557 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5176 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.9381 2023/02/01 02:30:26 - mmengine - INFO - Epoch(train) [65][ 820/1879] lr: 9.5434e-02 eta: 2 days, 2:57:30 time: 0.4909 data_time: 0.0385 memory: 18108 grad_norm: 2.9598 loss: 4.6543 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5995 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 2.0548 2023/02/01 02:30:35 - mmengine - INFO - Epoch(train) [65][ 840/1879] lr: 9.5430e-02 eta: 2 days, 2:57:19 time: 0.4824 data_time: 0.0349 memory: 18108 grad_norm: 2.9157 loss: 4.5027 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5595 top1_acc_1: 0.4941 top5_acc_1: 0.6941 loss_cls_1: 1.9432 2023/02/01 02:30:45 - mmengine - INFO - Epoch(train) [65][ 860/1879] lr: 9.5427e-02 eta: 2 days, 2:57:07 time: 0.4922 data_time: 0.0337 memory: 18108 grad_norm: 2.9879 loss: 4.5150 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5786 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.9364 2023/02/01 02:30:55 - mmengine - INFO - Epoch(train) [65][ 880/1879] lr: 9.5424e-02 eta: 2 days, 2:56:56 time: 0.4832 data_time: 0.0343 memory: 18108 grad_norm: 2.9675 loss: 4.8702 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.9680 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9022 2023/02/01 02:31:05 - mmengine - INFO - Epoch(train) [65][ 900/1879] lr: 9.5421e-02 eta: 2 days, 2:56:44 time: 0.4931 data_time: 0.0354 memory: 18108 grad_norm: 2.9681 loss: 4.7513 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7398 top1_acc_1: 0.4353 top5_acc_1: 0.7294 loss_cls_1: 2.0115 2023/02/01 02:31:15 - mmengine - INFO - Epoch(train) [65][ 920/1879] lr: 9.5418e-02 eta: 2 days, 2:56:33 time: 0.4840 data_time: 0.0331 memory: 18108 grad_norm: 2.9524 loss: 4.7034 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7285 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.9749 2023/02/01 02:31:24 - mmengine - INFO - Epoch(train) [65][ 940/1879] lr: 9.5415e-02 eta: 2 days, 2:56:21 time: 0.4882 data_time: 0.0333 memory: 18108 grad_norm: 2.9692 loss: 4.5021 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.5572 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.9449 2023/02/01 02:31:34 - mmengine - INFO - Epoch(train) [65][ 960/1879] lr: 9.5411e-02 eta: 2 days, 2:56:10 time: 0.4875 data_time: 0.0349 memory: 18108 grad_norm: 2.8983 loss: 4.7265 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7414 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.9852 2023/02/01 02:31:44 - mmengine - INFO - Epoch(train) [65][ 980/1879] lr: 9.5408e-02 eta: 2 days, 2:55:59 time: 0.4969 data_time: 0.0325 memory: 18108 grad_norm: 2.8913 loss: 4.6298 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6810 top1_acc_1: 0.4588 top5_acc_1: 0.7765 loss_cls_1: 1.9488 2023/02/01 02:31:54 - mmengine - INFO - Epoch(train) [65][1000/1879] lr: 9.5405e-02 eta: 2 days, 2:55:48 time: 0.4914 data_time: 0.0433 memory: 18108 grad_norm: 2.9809 loss: 4.6292 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7955 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.8337 2023/02/01 02:32:04 - mmengine - INFO - Epoch(train) [65][1020/1879] lr: 9.5402e-02 eta: 2 days, 2:55:36 time: 0.4908 data_time: 0.0331 memory: 18108 grad_norm: 2.9936 loss: 4.6912 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8001 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.8911 2023/02/01 02:32:13 - mmengine - INFO - Epoch(train) [65][1040/1879] lr: 9.5399e-02 eta: 2 days, 2:55:24 time: 0.4783 data_time: 0.0349 memory: 18108 grad_norm: 2.9606 loss: 4.5158 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6682 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.8476 2023/02/01 02:32:23 - mmengine - INFO - Epoch(train) [65][1060/1879] lr: 9.5396e-02 eta: 2 days, 2:55:13 time: 0.4897 data_time: 0.0362 memory: 18108 grad_norm: 2.9472 loss: 4.6270 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6110 top1_acc_1: 0.4588 top5_acc_1: 0.7059 loss_cls_1: 2.0160 2023/02/01 02:32:33 - mmengine - INFO - Epoch(train) [65][1080/1879] lr: 9.5393e-02 eta: 2 days, 2:55:01 time: 0.4890 data_time: 0.0403 memory: 18108 grad_norm: 3.0191 loss: 4.6279 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6550 top1_acc_1: 0.5176 top5_acc_1: 0.6941 loss_cls_1: 1.9730 2023/02/01 02:32:43 - mmengine - INFO - Epoch(train) [65][1100/1879] lr: 9.5389e-02 eta: 2 days, 2:54:51 time: 0.5010 data_time: 0.0336 memory: 18108 grad_norm: 2.9861 loss: 4.7335 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7602 top1_acc_1: 0.5412 top5_acc_1: 0.8471 loss_cls_1: 1.9733 2023/02/01 02:32:53 - mmengine - INFO - Epoch(train) [65][1120/1879] lr: 9.5386e-02 eta: 2 days, 2:54:40 time: 0.4937 data_time: 0.0330 memory: 18108 grad_norm: 2.9096 loss: 4.6344 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7653 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8691 2023/02/01 02:33:03 - mmengine - INFO - Epoch(train) [65][1140/1879] lr: 9.5383e-02 eta: 2 days, 2:54:29 time: 0.5014 data_time: 0.0400 memory: 18108 grad_norm: 2.9528 loss: 4.4434 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5422 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.9012 2023/02/01 02:33:13 - mmengine - INFO - Epoch(train) [65][1160/1879] lr: 9.5380e-02 eta: 2 days, 2:54:18 time: 0.4998 data_time: 0.0330 memory: 18108 grad_norm: 2.9546 loss: 4.5677 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6998 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8679 2023/02/01 02:33:23 - mmengine - INFO - Epoch(train) [65][1180/1879] lr: 9.5377e-02 eta: 2 days, 2:54:07 time: 0.5010 data_time: 0.0317 memory: 18108 grad_norm: 3.0020 loss: 4.5080 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6303 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.8778 2023/02/01 02:33:33 - mmengine - INFO - Epoch(train) [65][1200/1879] lr: 9.5374e-02 eta: 2 days, 2:53:58 time: 0.5160 data_time: 0.0412 memory: 18108 grad_norm: 3.0310 loss: 4.6813 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7271 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 1.9542 2023/02/01 02:33:43 - mmengine - INFO - Epoch(train) [65][1220/1879] lr: 9.5370e-02 eta: 2 days, 2:53:47 time: 0.5060 data_time: 0.0321 memory: 18108 grad_norm: 2.9806 loss: 4.5208 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6287 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.8921 2023/02/01 02:33:54 - mmengine - INFO - Epoch(train) [65][1240/1879] lr: 9.5367e-02 eta: 2 days, 2:53:37 time: 0.5093 data_time: 0.0373 memory: 18108 grad_norm: 2.9957 loss: 4.5777 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5727 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 2.0049 2023/02/01 02:34:04 - mmengine - INFO - Epoch(train) [65][1260/1879] lr: 9.5364e-02 eta: 2 days, 2:53:27 time: 0.5112 data_time: 0.0381 memory: 18108 grad_norm: 2.9907 loss: 4.6899 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6903 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9996 2023/02/01 02:34:14 - mmengine - INFO - Epoch(train) [65][1280/1879] lr: 9.5361e-02 eta: 2 days, 2:53:16 time: 0.4988 data_time: 0.0349 memory: 18108 grad_norm: 2.9974 loss: 4.5928 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 2.6893 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 1.9035 2023/02/01 02:34:24 - mmengine - INFO - Epoch(train) [65][1300/1879] lr: 9.5358e-02 eta: 2 days, 2:53:05 time: 0.5009 data_time: 0.0317 memory: 18108 grad_norm: 3.0004 loss: 4.5974 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7069 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.8904 2023/02/01 02:34:34 - mmengine - INFO - Epoch(train) [65][1320/1879] lr: 9.5355e-02 eta: 2 days, 2:52:56 time: 0.5197 data_time: 0.0400 memory: 18108 grad_norm: 2.9465 loss: 4.5860 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6456 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.9405 2023/02/01 02:34:44 - mmengine - INFO - Epoch(train) [65][1340/1879] lr: 9.5351e-02 eta: 2 days, 2:52:45 time: 0.4928 data_time: 0.0322 memory: 18108 grad_norm: 2.8886 loss: 4.6749 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8220 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.8529 2023/02/01 02:34:54 - mmengine - INFO - Epoch(train) [65][1360/1879] lr: 9.5348e-02 eta: 2 days, 2:52:34 time: 0.5086 data_time: 0.0345 memory: 18108 grad_norm: 2.9758 loss: 4.6760 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.7018 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.9742 2023/02/01 02:35:05 - mmengine - INFO - Epoch(train) [65][1380/1879] lr: 9.5345e-02 eta: 2 days, 2:52:25 time: 0.5199 data_time: 0.0324 memory: 18108 grad_norm: 2.9415 loss: 4.6942 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8039 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.8903 2023/02/01 02:35:15 - mmengine - INFO - Epoch(train) [65][1400/1879] lr: 9.5342e-02 eta: 2 days, 2:52:15 time: 0.5200 data_time: 0.0362 memory: 18108 grad_norm: 2.9946 loss: 4.6824 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6885 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9939 2023/02/01 02:35:25 - mmengine - INFO - Epoch(train) [65][1420/1879] lr: 9.5339e-02 eta: 2 days, 2:52:05 time: 0.5113 data_time: 0.0323 memory: 18108 grad_norm: 2.9232 loss: 4.3968 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4416 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.9551 2023/02/01 02:35:36 - mmengine - INFO - Epoch(train) [65][1440/1879] lr: 9.5336e-02 eta: 2 days, 2:51:56 time: 0.5235 data_time: 0.0326 memory: 18108 grad_norm: 2.9201 loss: 4.6711 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7365 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 1.9346 2023/02/01 02:35:46 - mmengine - INFO - Epoch(train) [65][1460/1879] lr: 9.5332e-02 eta: 2 days, 2:51:46 time: 0.5160 data_time: 0.0397 memory: 18108 grad_norm: 2.9546 loss: 4.6240 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6800 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.9440 2023/02/01 02:35:56 - mmengine - INFO - Epoch(train) [65][1480/1879] lr: 9.5329e-02 eta: 2 days, 2:51:36 time: 0.5089 data_time: 0.0328 memory: 18108 grad_norm: 2.9499 loss: 4.5004 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.5612 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.9392 2023/02/01 02:36:07 - mmengine - INFO - Epoch(train) [65][1500/1879] lr: 9.5326e-02 eta: 2 days, 2:51:26 time: 0.5130 data_time: 0.0341 memory: 18108 grad_norm: 3.0323 loss: 4.6381 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7016 top1_acc_1: 0.4471 top5_acc_1: 0.7294 loss_cls_1: 1.9365 2023/02/01 02:36:17 - mmengine - INFO - Epoch(train) [65][1520/1879] lr: 9.5323e-02 eta: 2 days, 2:51:17 time: 0.5415 data_time: 0.0430 memory: 18108 grad_norm: 2.9608 loss: 4.7342 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7614 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.9727 2023/02/01 02:36:28 - mmengine - INFO - Epoch(train) [65][1540/1879] lr: 9.5320e-02 eta: 2 days, 2:51:08 time: 0.5211 data_time: 0.0327 memory: 18108 grad_norm: 2.9355 loss: 4.6777 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7474 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.9302 2023/02/01 02:36:38 - mmengine - INFO - Epoch(train) [65][1560/1879] lr: 9.5316e-02 eta: 2 days, 2:50:59 time: 0.5339 data_time: 0.0333 memory: 18108 grad_norm: 2.9890 loss: 4.4491 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5695 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8796 2023/02/01 02:36:49 - mmengine - INFO - Epoch(train) [65][1580/1879] lr: 9.5313e-02 eta: 2 days, 2:50:50 time: 0.5223 data_time: 0.0322 memory: 18108 grad_norm: 2.9470 loss: 4.5670 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 2.6418 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.9252 2023/02/01 02:36:59 - mmengine - INFO - Epoch(train) [65][1600/1879] lr: 9.5310e-02 eta: 2 days, 2:50:40 time: 0.5271 data_time: 0.0381 memory: 18108 grad_norm: 2.9754 loss: 4.8488 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8531 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.9958 2023/02/01 02:37:10 - mmengine - INFO - Epoch(train) [65][1620/1879] lr: 9.5307e-02 eta: 2 days, 2:50:31 time: 0.5265 data_time: 0.0344 memory: 18108 grad_norm: 2.9715 loss: 4.3648 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5968 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.7680 2023/02/01 02:37:20 - mmengine - INFO - Epoch(train) [65][1640/1879] lr: 9.5304e-02 eta: 2 days, 2:50:22 time: 0.5229 data_time: 0.0315 memory: 18108 grad_norm: 2.9088 loss: 4.4158 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5228 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.8930 2023/02/01 02:37:31 - mmengine - INFO - Epoch(train) [65][1660/1879] lr: 9.5301e-02 eta: 2 days, 2:50:14 time: 0.5428 data_time: 0.0336 memory: 18108 grad_norm: 2.9609 loss: 4.8213 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8947 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.9265 2023/02/01 02:37:42 - mmengine - INFO - Epoch(train) [65][1680/1879] lr: 9.5297e-02 eta: 2 days, 2:50:05 time: 0.5370 data_time: 0.0318 memory: 18108 grad_norm: 2.9742 loss: 4.7053 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7510 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.9543 2023/02/01 02:37:52 - mmengine - INFO - Epoch(train) [65][1700/1879] lr: 9.5294e-02 eta: 2 days, 2:49:55 time: 0.5120 data_time: 0.0335 memory: 18108 grad_norm: 2.9705 loss: 4.5012 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.6587 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8424 2023/02/01 02:38:03 - mmengine - INFO - Epoch(train) [65][1720/1879] lr: 9.5291e-02 eta: 2 days, 2:49:47 time: 0.5439 data_time: 0.0343 memory: 18108 grad_norm: 2.9263 loss: 4.7032 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7188 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.9844 2023/02/01 02:38:14 - mmengine - INFO - Epoch(train) [65][1740/1879] lr: 9.5288e-02 eta: 2 days, 2:49:38 time: 0.5411 data_time: 0.0351 memory: 18108 grad_norm: 2.9518 loss: 4.4549 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5248 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9301 2023/02/01 02:38:16 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 02:38:25 - mmengine - INFO - Epoch(train) [65][1760/1879] lr: 9.5285e-02 eta: 2 days, 2:49:29 time: 0.5210 data_time: 0.0317 memory: 18108 grad_norm: 3.0004 loss: 4.6141 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7095 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.9046 2023/02/01 02:38:35 - mmengine - INFO - Epoch(train) [65][1780/1879] lr: 9.5281e-02 eta: 2 days, 2:49:20 time: 0.5300 data_time: 0.0328 memory: 18108 grad_norm: 2.9519 loss: 4.7030 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6979 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 2.0052 2023/02/01 02:38:46 - mmengine - INFO - Epoch(train) [65][1800/1879] lr: 9.5278e-02 eta: 2 days, 2:49:13 time: 0.5584 data_time: 0.0454 memory: 18108 grad_norm: 2.9390 loss: 4.3638 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.4400 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9238 2023/02/01 02:38:57 - mmengine - INFO - Epoch(train) [65][1820/1879] lr: 9.5275e-02 eta: 2 days, 2:49:04 time: 0.5314 data_time: 0.0324 memory: 18108 grad_norm: 3.0218 loss: 4.6537 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6641 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.9896 2023/02/01 02:39:07 - mmengine - INFO - Epoch(train) [65][1840/1879] lr: 9.5272e-02 eta: 2 days, 2:48:55 time: 0.5274 data_time: 0.0317 memory: 18108 grad_norm: 2.9115 loss: 4.4951 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5980 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8971 2023/02/01 02:39:18 - mmengine - INFO - Epoch(train) [65][1860/1879] lr: 9.5269e-02 eta: 2 days, 2:48:46 time: 0.5391 data_time: 0.0422 memory: 18108 grad_norm: 2.9096 loss: 4.6015 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.6132 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.9883 2023/02/01 02:39:28 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 02:39:28 - mmengine - INFO - Epoch(train) [65][1879/1879] lr: 9.5266e-02 eta: 2 days, 2:48:37 time: 0.5149 data_time: 0.0280 memory: 18108 grad_norm: 3.0138 loss: 4.3725 top1_acc_0: 0.5714 top5_acc_0: 1.0000 loss_cls_0: 2.5119 top1_acc_1: 0.4824 top5_acc_1: 0.8118 loss_cls_1: 1.8606 2023/02/01 02:39:43 - mmengine - INFO - Epoch(train) [66][ 20/1879] lr: 9.5262e-02 eta: 2 days, 2:48:38 time: 0.7056 data_time: 0.2623 memory: 18108 grad_norm: 2.9678 loss: 4.7787 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.8119 top1_acc_1: 0.5765 top5_acc_1: 0.7294 loss_cls_1: 1.9668 2023/02/01 02:39:53 - mmengine - INFO - Epoch(train) [66][ 40/1879] lr: 9.5259e-02 eta: 2 days, 2:48:26 time: 0.4800 data_time: 0.0332 memory: 18108 grad_norm: 3.4027 loss: 4.8551 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8684 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.9866 2023/02/01 02:40:02 - mmengine - INFO - Epoch(train) [66][ 60/1879] lr: 9.5256e-02 eta: 2 days, 2:48:15 time: 0.4848 data_time: 0.0374 memory: 18108 grad_norm: 3.0862 loss: 4.9607 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8873 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.0734 2023/02/01 02:40:13 - mmengine - INFO - Epoch(train) [66][ 80/1879] lr: 9.5253e-02 eta: 2 days, 2:48:06 time: 0.5323 data_time: 0.0317 memory: 18108 grad_norm: 2.9788 loss: 4.6545 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6604 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.9941 2023/02/01 02:40:23 - mmengine - INFO - Epoch(train) [66][ 100/1879] lr: 9.5250e-02 eta: 2 days, 2:47:54 time: 0.4874 data_time: 0.0379 memory: 18108 grad_norm: 2.9242 loss: 4.4071 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5070 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9001 2023/02/01 02:40:32 - mmengine - INFO - Epoch(train) [66][ 120/1879] lr: 9.5246e-02 eta: 2 days, 2:47:43 time: 0.4850 data_time: 0.0314 memory: 18108 grad_norm: 2.9790 loss: 4.4797 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6011 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.8786 2023/02/01 02:40:43 - mmengine - INFO - Epoch(train) [66][ 140/1879] lr: 9.5243e-02 eta: 2 days, 2:47:33 time: 0.5162 data_time: 0.0434 memory: 18108 grad_norm: 2.9299 loss: 4.5823 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6457 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.9366 2023/02/01 02:40:53 - mmengine - INFO - Epoch(train) [66][ 160/1879] lr: 9.5240e-02 eta: 2 days, 2:47:21 time: 0.4861 data_time: 0.0325 memory: 18108 grad_norm: 2.9600 loss: 4.6739 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7970 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8769 2023/02/01 02:41:02 - mmengine - INFO - Epoch(train) [66][ 180/1879] lr: 9.5237e-02 eta: 2 days, 2:47:10 time: 0.4856 data_time: 0.0352 memory: 18108 grad_norm: 2.9390 loss: 4.2971 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5470 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.7501 2023/02/01 02:41:12 - mmengine - INFO - Epoch(train) [66][ 200/1879] lr: 9.5234e-02 eta: 2 days, 2:46:59 time: 0.5048 data_time: 0.0448 memory: 18108 grad_norm: 2.9789 loss: 4.5751 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6840 top1_acc_1: 0.5294 top5_acc_1: 0.8471 loss_cls_1: 1.8911 2023/02/01 02:41:22 - mmengine - INFO - Epoch(train) [66][ 220/1879] lr: 9.5230e-02 eta: 2 days, 2:46:48 time: 0.4990 data_time: 0.0311 memory: 18108 grad_norm: 3.0424 loss: 4.5634 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7778 top1_acc_1: 0.4824 top5_acc_1: 0.7882 loss_cls_1: 1.7856 2023/02/01 02:41:32 - mmengine - INFO - Epoch(train) [66][ 240/1879] lr: 9.5227e-02 eta: 2 days, 2:46:36 time: 0.4826 data_time: 0.0354 memory: 18108 grad_norm: 3.0749 loss: 4.6564 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7112 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.9452 2023/02/01 02:41:42 - mmengine - INFO - Epoch(train) [66][ 260/1879] lr: 9.5224e-02 eta: 2 days, 2:46:26 time: 0.5006 data_time: 0.0313 memory: 18108 grad_norm: 2.8869 loss: 4.3375 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4823 top1_acc_1: 0.4235 top5_acc_1: 0.7059 loss_cls_1: 1.8552 2023/02/01 02:41:52 - mmengine - INFO - Epoch(train) [66][ 280/1879] lr: 9.5221e-02 eta: 2 days, 2:46:15 time: 0.5064 data_time: 0.0420 memory: 18108 grad_norm: 3.0272 loss: 4.4373 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5082 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.9291 2023/02/01 02:42:02 - mmengine - INFO - Epoch(train) [66][ 300/1879] lr: 9.5217e-02 eta: 2 days, 2:46:04 time: 0.4975 data_time: 0.0305 memory: 18108 grad_norm: 2.9731 loss: 4.3111 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.4562 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8549 2023/02/01 02:42:12 - mmengine - INFO - Epoch(train) [66][ 320/1879] lr: 9.5214e-02 eta: 2 days, 2:45:53 time: 0.4876 data_time: 0.0388 memory: 18108 grad_norm: 3.0150 loss: 4.4305 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5430 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.8875 2023/02/01 02:42:22 - mmengine - INFO - Epoch(train) [66][ 340/1879] lr: 9.5211e-02 eta: 2 days, 2:45:42 time: 0.4911 data_time: 0.0299 memory: 18108 grad_norm: 3.0486 loss: 4.4215 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5289 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.8926 2023/02/01 02:42:31 - mmengine - INFO - Epoch(train) [66][ 360/1879] lr: 9.5208e-02 eta: 2 days, 2:45:30 time: 0.4875 data_time: 0.0349 memory: 18108 grad_norm: 2.9229 loss: 4.4853 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.6428 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.8426 2023/02/01 02:42:42 - mmengine - INFO - Epoch(train) [66][ 380/1879] lr: 9.5205e-02 eta: 2 days, 2:45:20 time: 0.5031 data_time: 0.0303 memory: 18108 grad_norm: 2.9605 loss: 4.7205 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.7629 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 1.9575 2023/02/01 02:42:52 - mmengine - INFO - Epoch(train) [66][ 400/1879] lr: 9.5201e-02 eta: 2 days, 2:45:09 time: 0.5011 data_time: 0.0421 memory: 18108 grad_norm: 2.9696 loss: 4.5626 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6580 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9046 2023/02/01 02:43:02 - mmengine - INFO - Epoch(train) [66][ 420/1879] lr: 9.5198e-02 eta: 2 days, 2:44:58 time: 0.5020 data_time: 0.0306 memory: 18108 grad_norm: 2.9463 loss: 4.6433 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.7164 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.9269 2023/02/01 02:43:12 - mmengine - INFO - Epoch(train) [66][ 440/1879] lr: 9.5195e-02 eta: 2 days, 2:44:48 time: 0.5015 data_time: 0.0385 memory: 18108 grad_norm: 3.0112 loss: 4.5924 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6166 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9758 2023/02/01 02:43:22 - mmengine - INFO - Epoch(train) [66][ 460/1879] lr: 9.5192e-02 eta: 2 days, 2:44:37 time: 0.5029 data_time: 0.0364 memory: 18108 grad_norm: 3.0523 loss: 4.6493 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6335 top1_acc_1: 0.4941 top5_acc_1: 0.6824 loss_cls_1: 2.0158 2023/02/01 02:43:32 - mmengine - INFO - Epoch(train) [66][ 480/1879] lr: 9.5189e-02 eta: 2 days, 2:44:26 time: 0.5013 data_time: 0.0327 memory: 18108 grad_norm: 3.0030 loss: 4.5692 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6196 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9495 2023/02/01 02:43:42 - mmengine - INFO - Epoch(train) [66][ 500/1879] lr: 9.5185e-02 eta: 2 days, 2:44:16 time: 0.5041 data_time: 0.0351 memory: 18108 grad_norm: 2.9693 loss: 4.4813 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5827 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.8985 2023/02/01 02:43:52 - mmengine - INFO - Epoch(train) [66][ 520/1879] lr: 9.5182e-02 eta: 2 days, 2:44:06 time: 0.5093 data_time: 0.0277 memory: 18108 grad_norm: 2.9768 loss: 4.4443 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5516 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.8927 2023/02/01 02:44:02 - mmengine - INFO - Epoch(train) [66][ 540/1879] lr: 9.5179e-02 eta: 2 days, 2:43:56 time: 0.5195 data_time: 0.0466 memory: 18108 grad_norm: 3.0595 loss: 4.4981 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5742 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.9239 2023/02/01 02:44:12 - mmengine - INFO - Epoch(train) [66][ 560/1879] lr: 9.5176e-02 eta: 2 days, 2:43:45 time: 0.4946 data_time: 0.0295 memory: 18108 grad_norm: 2.9686 loss: 4.4980 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5682 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.9298 2023/02/01 02:44:23 - mmengine - INFO - Epoch(train) [66][ 580/1879] lr: 9.5172e-02 eta: 2 days, 2:43:35 time: 0.5130 data_time: 0.0369 memory: 18108 grad_norm: 3.0072 loss: 4.5386 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.6015 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.9371 2023/02/01 02:44:33 - mmengine - INFO - Epoch(train) [66][ 600/1879] lr: 9.5169e-02 eta: 2 days, 2:43:25 time: 0.5219 data_time: 0.0415 memory: 18108 grad_norm: 2.9756 loss: 4.7198 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8428 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8771 2023/02/01 02:44:43 - mmengine - INFO - Epoch(train) [66][ 620/1879] lr: 9.5166e-02 eta: 2 days, 2:43:14 time: 0.4959 data_time: 0.0352 memory: 18108 grad_norm: 2.9932 loss: 4.4568 top1_acc_0: 0.1250 top5_acc_0: 0.7500 loss_cls_0: 2.5887 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8681 2023/02/01 02:44:53 - mmengine - INFO - Epoch(train) [66][ 640/1879] lr: 9.5163e-02 eta: 2 days, 2:43:04 time: 0.5093 data_time: 0.0341 memory: 18108 grad_norm: 2.9537 loss: 4.9300 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9501 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.9799 2023/02/01 02:45:03 - mmengine - INFO - Epoch(train) [66][ 660/1879] lr: 9.5159e-02 eta: 2 days, 2:42:53 time: 0.4979 data_time: 0.0318 memory: 18108 grad_norm: 2.9577 loss: 4.7168 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7266 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.9903 2023/02/01 02:45:13 - mmengine - INFO - Epoch(train) [66][ 680/1879] lr: 9.5156e-02 eta: 2 days, 2:42:43 time: 0.5083 data_time: 0.0444 memory: 18108 grad_norm: 2.9420 loss: 4.6428 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7439 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8989 2023/02/01 02:45:23 - mmengine - INFO - Epoch(train) [66][ 700/1879] lr: 9.5153e-02 eta: 2 days, 2:42:32 time: 0.4964 data_time: 0.0324 memory: 18108 grad_norm: 2.9581 loss: 4.6276 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6983 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.9293 2023/02/01 02:45:33 - mmengine - INFO - Epoch(train) [66][ 720/1879] lr: 9.5150e-02 eta: 2 days, 2:42:22 time: 0.5089 data_time: 0.0341 memory: 18108 grad_norm: 2.9737 loss: 4.6867 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6922 top1_acc_1: 0.4471 top5_acc_1: 0.6941 loss_cls_1: 1.9944 2023/02/01 02:45:44 - mmengine - INFO - Epoch(train) [66][ 740/1879] lr: 9.5147e-02 eta: 2 days, 2:42:12 time: 0.5179 data_time: 0.0380 memory: 18108 grad_norm: 2.9364 loss: 4.4488 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5361 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.9126 2023/02/01 02:45:54 - mmengine - INFO - Epoch(train) [66][ 760/1879] lr: 9.5143e-02 eta: 2 days, 2:42:02 time: 0.5106 data_time: 0.0359 memory: 18108 grad_norm: 3.0041 loss: 4.5740 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6135 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.9605 2023/02/01 02:46:04 - mmengine - INFO - Epoch(train) [66][ 780/1879] lr: 9.5140e-02 eta: 2 days, 2:41:52 time: 0.5098 data_time: 0.0317 memory: 18108 grad_norm: 2.9919 loss: 4.6323 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7381 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.8943 2023/02/01 02:46:15 - mmengine - INFO - Epoch(train) [66][ 800/1879] lr: 9.5137e-02 eta: 2 days, 2:41:42 time: 0.5141 data_time: 0.0360 memory: 18108 grad_norm: 2.9558 loss: 4.5814 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.6622 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.9191 2023/02/01 02:46:25 - mmengine - INFO - Epoch(train) [66][ 820/1879] lr: 9.5134e-02 eta: 2 days, 2:41:32 time: 0.5223 data_time: 0.0359 memory: 18108 grad_norm: 2.9986 loss: 4.3891 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4825 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.9066 2023/02/01 02:46:35 - mmengine - INFO - Epoch(train) [66][ 840/1879] lr: 9.5130e-02 eta: 2 days, 2:41:22 time: 0.5107 data_time: 0.0248 memory: 18108 grad_norm: 2.9925 loss: 4.6173 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6480 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9693 2023/02/01 02:46:46 - mmengine - INFO - Epoch(train) [66][ 860/1879] lr: 9.5127e-02 eta: 2 days, 2:41:14 time: 0.5427 data_time: 0.0457 memory: 18108 grad_norm: 2.9894 loss: 4.8771 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.9294 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.9477 2023/02/01 02:46:49 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 02:46:56 - mmengine - INFO - Epoch(train) [66][ 880/1879] lr: 9.5124e-02 eta: 2 days, 2:41:04 time: 0.5167 data_time: 0.0287 memory: 18108 grad_norm: 2.9928 loss: 4.6919 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.7107 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.9812 2023/02/01 02:47:07 - mmengine - INFO - Epoch(train) [66][ 900/1879] lr: 9.5121e-02 eta: 2 days, 2:40:54 time: 0.5106 data_time: 0.0354 memory: 18108 grad_norm: 2.9936 loss: 4.8393 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.8793 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.9600 2023/02/01 02:47:17 - mmengine - INFO - Epoch(train) [66][ 920/1879] lr: 9.5117e-02 eta: 2 days, 2:40:44 time: 0.5127 data_time: 0.0295 memory: 18108 grad_norm: 2.9385 loss: 4.5348 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6212 top1_acc_1: 0.6118 top5_acc_1: 0.7412 loss_cls_1: 1.9136 2023/02/01 02:47:27 - mmengine - INFO - Epoch(train) [66][ 940/1879] lr: 9.5114e-02 eta: 2 days, 2:40:34 time: 0.5150 data_time: 0.0355 memory: 18108 grad_norm: 2.9722 loss: 4.6301 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6153 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 2.0148 2023/02/01 02:47:38 - mmengine - INFO - Epoch(train) [66][ 960/1879] lr: 9.5111e-02 eta: 2 days, 2:40:24 time: 0.5154 data_time: 0.0298 memory: 18108 grad_norm: 2.9286 loss: 4.5613 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4960 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 2.0653 2023/02/01 02:47:48 - mmengine - INFO - Epoch(train) [66][ 980/1879] lr: 9.5108e-02 eta: 2 days, 2:40:15 time: 0.5192 data_time: 0.0386 memory: 18108 grad_norm: 2.9352 loss: 4.7060 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8032 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.9028 2023/02/01 02:47:58 - mmengine - INFO - Epoch(train) [66][1000/1879] lr: 9.5104e-02 eta: 2 days, 2:40:05 time: 0.5160 data_time: 0.0376 memory: 18108 grad_norm: 3.0129 loss: 4.3361 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4648 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8714 2023/02/01 02:48:09 - mmengine - INFO - Epoch(train) [66][1020/1879] lr: 9.5101e-02 eta: 2 days, 2:39:56 time: 0.5271 data_time: 0.0352 memory: 18108 grad_norm: 2.9463 loss: 4.8769 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8872 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.9896 2023/02/01 02:48:19 - mmengine - INFO - Epoch(train) [66][1040/1879] lr: 9.5098e-02 eta: 2 days, 2:39:45 time: 0.5081 data_time: 0.0312 memory: 18108 grad_norm: 2.9369 loss: 4.5769 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6770 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8999 2023/02/01 02:48:29 - mmengine - INFO - Epoch(train) [66][1060/1879] lr: 9.5095e-02 eta: 2 days, 2:39:35 time: 0.5097 data_time: 0.0444 memory: 18108 grad_norm: 2.9899 loss: 4.8286 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.8540 top1_acc_1: 0.4941 top5_acc_1: 0.8353 loss_cls_1: 1.9746 2023/02/01 02:48:40 - mmengine - INFO - Epoch(train) [66][1080/1879] lr: 9.5091e-02 eta: 2 days, 2:39:26 time: 0.5270 data_time: 0.0314 memory: 18108 grad_norm: 2.9879 loss: 4.6188 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6717 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.9471 2023/02/01 02:48:50 - mmengine - INFO - Epoch(train) [66][1100/1879] lr: 9.5088e-02 eta: 2 days, 2:39:16 time: 0.5109 data_time: 0.0354 memory: 18108 grad_norm: 3.0338 loss: 4.5990 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6417 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.9572 2023/02/01 02:49:00 - mmengine - INFO - Epoch(train) [66][1120/1879] lr: 9.5085e-02 eta: 2 days, 2:39:06 time: 0.5064 data_time: 0.0307 memory: 18108 grad_norm: 2.9748 loss: 4.7592 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.8928 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.8664 2023/02/01 02:49:10 - mmengine - INFO - Epoch(train) [66][1140/1879] lr: 9.5082e-02 eta: 2 days, 2:38:56 time: 0.5181 data_time: 0.0367 memory: 18108 grad_norm: 2.9186 loss: 4.6047 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.5537 top1_acc_1: 0.5294 top5_acc_1: 0.8588 loss_cls_1: 2.0510 2023/02/01 02:49:21 - mmengine - INFO - Epoch(train) [66][1160/1879] lr: 9.5078e-02 eta: 2 days, 2:38:45 time: 0.5049 data_time: 0.0291 memory: 18108 grad_norm: 2.9758 loss: 4.5911 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5941 top1_acc_1: 0.5294 top5_acc_1: 0.8588 loss_cls_1: 1.9970 2023/02/01 02:49:31 - mmengine - INFO - Epoch(train) [66][1180/1879] lr: 9.5075e-02 eta: 2 days, 2:38:35 time: 0.5125 data_time: 0.0368 memory: 18108 grad_norm: 2.9533 loss: 4.4649 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5294 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.9355 2023/02/01 02:49:41 - mmengine - INFO - Epoch(train) [66][1200/1879] lr: 9.5072e-02 eta: 2 days, 2:38:26 time: 0.5275 data_time: 0.0390 memory: 18108 grad_norm: 2.9349 loss: 4.7384 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8206 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.9178 2023/02/01 02:49:52 - mmengine - INFO - Epoch(train) [66][1220/1879] lr: 9.5069e-02 eta: 2 days, 2:38:16 time: 0.5135 data_time: 0.0376 memory: 18108 grad_norm: 2.8595 loss: 4.3977 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5099 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8878 2023/02/01 02:50:02 - mmengine - INFO - Epoch(train) [66][1240/1879] lr: 9.5065e-02 eta: 2 days, 2:38:07 time: 0.5178 data_time: 0.0293 memory: 18108 grad_norm: 2.9890 loss: 4.6246 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6571 top1_acc_1: 0.4353 top5_acc_1: 0.6941 loss_cls_1: 1.9675 2023/02/01 02:50:12 - mmengine - INFO - Epoch(train) [66][1260/1879] lr: 9.5062e-02 eta: 2 days, 2:37:57 time: 0.5190 data_time: 0.0433 memory: 18108 grad_norm: 2.9252 loss: 4.5747 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6443 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.9304 2023/02/01 02:50:23 - mmengine - INFO - Epoch(train) [66][1280/1879] lr: 9.5059e-02 eta: 2 days, 2:37:48 time: 0.5277 data_time: 0.0292 memory: 18108 grad_norm: 2.9748 loss: 4.7290 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7900 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9390 2023/02/01 02:50:33 - mmengine - INFO - Epoch(train) [66][1300/1879] lr: 9.5055e-02 eta: 2 days, 2:37:38 time: 0.5114 data_time: 0.0339 memory: 18108 grad_norm: 2.9665 loss: 4.7032 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7954 top1_acc_1: 0.4118 top5_acc_1: 0.6941 loss_cls_1: 1.9078 2023/02/01 02:50:44 - mmengine - INFO - Epoch(train) [66][1320/1879] lr: 9.5052e-02 eta: 2 days, 2:37:28 time: 0.5189 data_time: 0.0305 memory: 18108 grad_norm: 2.9075 loss: 4.2548 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.3992 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 1.8557 2023/02/01 02:50:54 - mmengine - INFO - Epoch(train) [66][1340/1879] lr: 9.5049e-02 eta: 2 days, 2:37:18 time: 0.5095 data_time: 0.0417 memory: 18108 grad_norm: 3.0119 loss: 4.4313 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5621 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.8692 2023/02/01 02:51:04 - mmengine - INFO - Epoch(train) [66][1360/1879] lr: 9.5046e-02 eta: 2 days, 2:37:07 time: 0.5072 data_time: 0.0377 memory: 18108 grad_norm: 2.9962 loss: 4.3999 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.4964 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.9035 2023/02/01 02:51:14 - mmengine - INFO - Epoch(train) [66][1380/1879] lr: 9.5042e-02 eta: 2 days, 2:36:56 time: 0.4904 data_time: 0.0323 memory: 18108 grad_norm: 2.9737 loss: 4.8687 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8895 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.9792 2023/02/01 02:51:24 - mmengine - INFO - Epoch(train) [66][1400/1879] lr: 9.5039e-02 eta: 2 days, 2:36:45 time: 0.5006 data_time: 0.0374 memory: 18108 grad_norm: 2.9551 loss: 4.4585 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6221 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 1.8364 2023/02/01 02:51:34 - mmengine - INFO - Epoch(train) [66][1420/1879] lr: 9.5036e-02 eta: 2 days, 2:36:34 time: 0.4938 data_time: 0.0339 memory: 18108 grad_norm: 3.0323 loss: 4.6421 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6883 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 1.9538 2023/02/01 02:51:44 - mmengine - INFO - Epoch(train) [66][1440/1879] lr: 9.5033e-02 eta: 2 days, 2:36:24 time: 0.5012 data_time: 0.0354 memory: 18108 grad_norm: 2.9915 loss: 4.7566 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.7307 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.0260 2023/02/01 02:51:54 - mmengine - INFO - Epoch(train) [66][1460/1879] lr: 9.5029e-02 eta: 2 days, 2:36:13 time: 0.4965 data_time: 0.0343 memory: 18108 grad_norm: 2.9832 loss: 4.6743 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7724 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 1.9019 2023/02/01 02:52:04 - mmengine - INFO - Epoch(train) [66][1480/1879] lr: 9.5026e-02 eta: 2 days, 2:36:02 time: 0.4953 data_time: 0.0329 memory: 18108 grad_norm: 2.9849 loss: 4.7453 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8142 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.9311 2023/02/01 02:52:14 - mmengine - INFO - Epoch(train) [66][1500/1879] lr: 9.5023e-02 eta: 2 days, 2:35:51 time: 0.4978 data_time: 0.0327 memory: 18108 grad_norm: 2.9940 loss: 4.5040 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6133 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8907 2023/02/01 02:52:24 - mmengine - INFO - Epoch(train) [66][1520/1879] lr: 9.5020e-02 eta: 2 days, 2:35:41 time: 0.5166 data_time: 0.0342 memory: 18108 grad_norm: 2.9472 loss: 4.5280 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5853 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9427 2023/02/01 02:52:34 - mmengine - INFO - Epoch(train) [66][1540/1879] lr: 9.5016e-02 eta: 2 days, 2:35:30 time: 0.4900 data_time: 0.0317 memory: 18108 grad_norm: 3.0019 loss: 4.6376 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6822 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9554 2023/02/01 02:52:44 - mmengine - INFO - Epoch(train) [66][1560/1879] lr: 9.5013e-02 eta: 2 days, 2:35:19 time: 0.5065 data_time: 0.0355 memory: 18108 grad_norm: 2.9638 loss: 4.6014 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5878 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 2.0136 2023/02/01 02:52:54 - mmengine - INFO - Epoch(train) [66][1580/1879] lr: 9.5010e-02 eta: 2 days, 2:35:08 time: 0.4857 data_time: 0.0326 memory: 18108 grad_norm: 3.0111 loss: 4.7523 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8602 top1_acc_1: 0.4706 top5_acc_1: 0.7059 loss_cls_1: 1.8921 2023/02/01 02:53:04 - mmengine - INFO - Epoch(train) [66][1600/1879] lr: 9.5006e-02 eta: 2 days, 2:34:58 time: 0.5146 data_time: 0.0407 memory: 18108 grad_norm: 2.9770 loss: 4.6502 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7223 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.9278 2023/02/01 02:53:14 - mmengine - INFO - Epoch(train) [66][1620/1879] lr: 9.5003e-02 eta: 2 days, 2:34:46 time: 0.4851 data_time: 0.0315 memory: 18108 grad_norm: 2.9240 loss: 4.5878 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6511 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.9367 2023/02/01 02:53:24 - mmengine - INFO - Epoch(train) [66][1640/1879] lr: 9.5000e-02 eta: 2 days, 2:34:37 time: 0.5220 data_time: 0.0345 memory: 18108 grad_norm: 3.0192 loss: 4.7399 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7780 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.9619 2023/02/01 02:53:34 - mmengine - INFO - Epoch(train) [66][1660/1879] lr: 9.4997e-02 eta: 2 days, 2:34:26 time: 0.5044 data_time: 0.0388 memory: 18108 grad_norm: 2.9563 loss: 4.5780 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5852 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9928 2023/02/01 02:53:44 - mmengine - INFO - Epoch(train) [66][1680/1879] lr: 9.4993e-02 eta: 2 days, 2:34:16 time: 0.5064 data_time: 0.0330 memory: 18108 grad_norm: 2.9828 loss: 4.4763 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.5895 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8869 2023/02/01 02:53:54 - mmengine - INFO - Epoch(train) [66][1700/1879] lr: 9.4990e-02 eta: 2 days, 2:34:05 time: 0.4939 data_time: 0.0324 memory: 18108 grad_norm: 2.9453 loss: 4.6978 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7080 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.9898 2023/02/01 02:54:05 - mmengine - INFO - Epoch(train) [66][1720/1879] lr: 9.4987e-02 eta: 2 days, 2:33:56 time: 0.5411 data_time: 0.0345 memory: 18108 grad_norm: 2.9548 loss: 4.7071 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6641 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 2.0430 2023/02/01 02:54:15 - mmengine - INFO - Epoch(train) [66][1740/1879] lr: 9.4983e-02 eta: 2 days, 2:33:45 time: 0.4948 data_time: 0.0392 memory: 18108 grad_norm: 2.9611 loss: 4.8045 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8699 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.9346 2023/02/01 02:54:25 - mmengine - INFO - Epoch(train) [66][1760/1879] lr: 9.4980e-02 eta: 2 days, 2:33:35 time: 0.5066 data_time: 0.0355 memory: 18108 grad_norm: 2.9505 loss: 4.7543 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7949 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9593 2023/02/01 02:54:35 - mmengine - INFO - Epoch(train) [66][1780/1879] lr: 9.4977e-02 eta: 2 days, 2:33:24 time: 0.5056 data_time: 0.0329 memory: 18108 grad_norm: 3.0133 loss: 4.5659 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.5690 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.9969 2023/02/01 02:54:46 - mmengine - INFO - Epoch(train) [66][1800/1879] lr: 9.4974e-02 eta: 2 days, 2:33:16 time: 0.5332 data_time: 0.0489 memory: 18108 grad_norm: 2.9928 loss: 4.7528 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6959 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 2.0569 2023/02/01 02:54:55 - mmengine - INFO - Epoch(train) [66][1820/1879] lr: 9.4970e-02 eta: 2 days, 2:33:04 time: 0.4772 data_time: 0.0304 memory: 18108 grad_norm: 2.9249 loss: 4.8124 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.9316 top1_acc_1: 0.5529 top5_acc_1: 0.8941 loss_cls_1: 1.8808 2023/02/01 02:55:06 - mmengine - INFO - Epoch(train) [66][1840/1879] lr: 9.4967e-02 eta: 2 days, 2:32:54 time: 0.5176 data_time: 0.0367 memory: 18108 grad_norm: 2.8758 loss: 4.6679 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7607 top1_acc_1: 0.4706 top5_acc_1: 0.6588 loss_cls_1: 1.9072 2023/02/01 02:55:16 - mmengine - INFO - Epoch(train) [66][1860/1879] lr: 9.4964e-02 eta: 2 days, 2:32:43 time: 0.5074 data_time: 0.0406 memory: 18108 grad_norm: 2.9396 loss: 4.5070 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6098 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8972 2023/02/01 02:55:18 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 02:55:25 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 02:55:25 - mmengine - INFO - Epoch(train) [66][1879/1879] lr: 9.4961e-02 eta: 2 days, 2:32:31 time: 0.4661 data_time: 0.0307 memory: 18108 grad_norm: 3.0082 loss: 4.5028 top1_acc_0: 0.4286 top5_acc_0: 0.8571 loss_cls_0: 2.5213 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.9815 2023/02/01 02:55:40 - mmengine - INFO - Epoch(train) [67][ 20/1879] lr: 9.4957e-02 eta: 2 days, 2:32:33 time: 0.7094 data_time: 0.2467 memory: 18108 grad_norm: 2.9250 loss: 4.9259 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9691 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9568 2023/02/01 02:55:49 - mmengine - INFO - Epoch(train) [67][ 40/1879] lr: 9.4954e-02 eta: 2 days, 2:32:20 time: 0.4697 data_time: 0.0377 memory: 18108 grad_norm: 2.9553 loss: 4.4486 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.6455 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.8031 2023/02/01 02:55:59 - mmengine - INFO - Epoch(train) [67][ 60/1879] lr: 9.4951e-02 eta: 2 days, 2:32:08 time: 0.4738 data_time: 0.0347 memory: 18108 grad_norm: 2.9218 loss: 4.6559 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7781 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.8777 2023/02/01 02:56:09 - mmengine - INFO - Epoch(train) [67][ 80/1879] lr: 9.4947e-02 eta: 2 days, 2:31:58 time: 0.5207 data_time: 0.0433 memory: 18108 grad_norm: 2.9377 loss: 4.5864 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6769 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.9095 2023/02/01 02:56:19 - mmengine - INFO - Epoch(train) [67][ 100/1879] lr: 9.4944e-02 eta: 2 days, 2:31:46 time: 0.4765 data_time: 0.0350 memory: 18108 grad_norm: 2.9699 loss: 4.4948 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7315 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.7633 2023/02/01 02:56:28 - mmengine - INFO - Epoch(train) [67][ 120/1879] lr: 9.4941e-02 eta: 2 days, 2:31:34 time: 0.4668 data_time: 0.0338 memory: 18108 grad_norm: 2.9409 loss: 4.6834 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8238 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.8596 2023/02/01 02:56:37 - mmengine - INFO - Epoch(train) [67][ 140/1879] lr: 9.4937e-02 eta: 2 days, 2:31:21 time: 0.4720 data_time: 0.0333 memory: 18108 grad_norm: 2.9504 loss: 4.5018 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6655 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8363 2023/02/01 02:56:48 - mmengine - INFO - Epoch(train) [67][ 160/1879] lr: 9.4934e-02 eta: 2 days, 2:31:11 time: 0.5055 data_time: 0.0392 memory: 18108 grad_norm: 2.9739 loss: 4.4263 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5872 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.8391 2023/02/01 02:56:57 - mmengine - INFO - Epoch(train) [67][ 180/1879] lr: 9.4931e-02 eta: 2 days, 2:30:59 time: 0.4757 data_time: 0.0343 memory: 18108 grad_norm: 2.9613 loss: 4.6445 top1_acc_0: 0.3750 top5_acc_0: 0.9375 loss_cls_0: 2.7526 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.8918 2023/02/01 02:57:07 - mmengine - INFO - Epoch(train) [67][ 200/1879] lr: 9.4928e-02 eta: 2 days, 2:30:47 time: 0.4769 data_time: 0.0347 memory: 18108 grad_norm: 3.0856 loss: 4.7429 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.8205 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.9225 2023/02/01 02:57:17 - mmengine - INFO - Epoch(train) [67][ 220/1879] lr: 9.4924e-02 eta: 2 days, 2:30:37 time: 0.5105 data_time: 0.0313 memory: 18108 grad_norm: 2.9545 loss: 4.5336 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5903 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.9433 2023/02/01 02:57:27 - mmengine - INFO - Epoch(train) [67][ 240/1879] lr: 9.4921e-02 eta: 2 days, 2:30:25 time: 0.4931 data_time: 0.0423 memory: 18108 grad_norm: 2.9742 loss: 4.5365 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.6588 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8778 2023/02/01 02:57:36 - mmengine - INFO - Epoch(train) [67][ 260/1879] lr: 9.4918e-02 eta: 2 days, 2:30:14 time: 0.4826 data_time: 0.0315 memory: 18108 grad_norm: 3.0265 loss: 4.6033 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7193 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 1.8840 2023/02/01 02:57:46 - mmengine - INFO - Epoch(train) [67][ 280/1879] lr: 9.4914e-02 eta: 2 days, 2:30:02 time: 0.4828 data_time: 0.0345 memory: 18108 grad_norm: 2.9917 loss: 4.5374 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6963 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.8411 2023/02/01 02:57:56 - mmengine - INFO - Epoch(train) [67][ 300/1879] lr: 9.4911e-02 eta: 2 days, 2:29:52 time: 0.5074 data_time: 0.0383 memory: 18108 grad_norm: 2.9567 loss: 4.5735 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6807 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8927 2023/02/01 02:58:06 - mmengine - INFO - Epoch(train) [67][ 320/1879] lr: 9.4908e-02 eta: 2 days, 2:29:41 time: 0.4967 data_time: 0.0379 memory: 18108 grad_norm: 2.9750 loss: 4.4830 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6582 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8248 2023/02/01 02:58:16 - mmengine - INFO - Epoch(train) [67][ 340/1879] lr: 9.4904e-02 eta: 2 days, 2:29:29 time: 0.4819 data_time: 0.0319 memory: 18108 grad_norm: 2.9436 loss: 4.3135 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4957 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.8178 2023/02/01 02:58:25 - mmengine - INFO - Epoch(train) [67][ 360/1879] lr: 9.4901e-02 eta: 2 days, 2:29:17 time: 0.4811 data_time: 0.0345 memory: 18108 grad_norm: 2.9463 loss: 4.5417 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6644 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.8773 2023/02/01 02:58:36 - mmengine - INFO - Epoch(train) [67][ 380/1879] lr: 9.4898e-02 eta: 2 days, 2:29:07 time: 0.5068 data_time: 0.0380 memory: 18108 grad_norm: 2.9523 loss: 4.4475 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5545 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.8930 2023/02/01 02:58:45 - mmengine - INFO - Epoch(train) [67][ 400/1879] lr: 9.4894e-02 eta: 2 days, 2:28:55 time: 0.4904 data_time: 0.0353 memory: 18108 grad_norm: 2.9531 loss: 4.8574 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.8584 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.9990 2023/02/01 02:58:55 - mmengine - INFO - Epoch(train) [67][ 420/1879] lr: 9.4891e-02 eta: 2 days, 2:28:44 time: 0.4821 data_time: 0.0331 memory: 18108 grad_norm: 3.0185 loss: 4.5746 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6460 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 1.9286 2023/02/01 02:59:05 - mmengine - INFO - Epoch(train) [67][ 440/1879] lr: 9.4888e-02 eta: 2 days, 2:28:32 time: 0.4882 data_time: 0.0441 memory: 18108 grad_norm: 2.9424 loss: 4.7212 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8228 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.8984 2023/02/01 02:59:15 - mmengine - INFO - Epoch(train) [67][ 460/1879] lr: 9.4884e-02 eta: 2 days, 2:28:21 time: 0.4997 data_time: 0.0311 memory: 18108 grad_norm: 2.9728 loss: 4.5360 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.6045 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.9315 2023/02/01 02:59:25 - mmengine - INFO - Epoch(train) [67][ 480/1879] lr: 9.4881e-02 eta: 2 days, 2:28:10 time: 0.4898 data_time: 0.0358 memory: 18108 grad_norm: 3.0249 loss: 4.6250 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6976 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.9274 2023/02/01 02:59:34 - mmengine - INFO - Epoch(train) [67][ 500/1879] lr: 9.4878e-02 eta: 2 days, 2:27:59 time: 0.4889 data_time: 0.0395 memory: 18108 grad_norm: 2.9784 loss: 4.7241 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.8173 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.9068 2023/02/01 02:59:44 - mmengine - INFO - Epoch(train) [67][ 520/1879] lr: 9.4875e-02 eta: 2 days, 2:27:48 time: 0.4908 data_time: 0.0356 memory: 18108 grad_norm: 2.9192 loss: 4.4897 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6065 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8832 2023/02/01 02:59:54 - mmengine - INFO - Epoch(train) [67][ 540/1879] lr: 9.4871e-02 eta: 2 days, 2:27:37 time: 0.4957 data_time: 0.0315 memory: 18108 grad_norm: 2.9077 loss: 4.6269 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7368 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.8900 2023/02/01 03:00:04 - mmengine - INFO - Epoch(train) [67][ 560/1879] lr: 9.4868e-02 eta: 2 days, 2:27:25 time: 0.4946 data_time: 0.0359 memory: 18108 grad_norm: 2.9796 loss: 4.3999 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5924 top1_acc_1: 0.4471 top5_acc_1: 0.7176 loss_cls_1: 1.8075 2023/02/01 03:00:14 - mmengine - INFO - Epoch(train) [67][ 580/1879] lr: 9.4865e-02 eta: 2 days, 2:27:14 time: 0.4938 data_time: 0.0324 memory: 18108 grad_norm: 3.0042 loss: 4.2764 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4146 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8618 2023/02/01 03:00:24 - mmengine - INFO - Epoch(train) [67][ 600/1879] lr: 9.4861e-02 eta: 2 days, 2:27:04 time: 0.5041 data_time: 0.0343 memory: 18108 grad_norm: 2.9707 loss: 4.5766 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6361 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.9405 2023/02/01 03:00:34 - mmengine - INFO - Epoch(train) [67][ 620/1879] lr: 9.4858e-02 eta: 2 days, 2:26:53 time: 0.4997 data_time: 0.0350 memory: 18108 grad_norm: 2.9983 loss: 4.5705 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7144 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8561 2023/02/01 03:00:44 - mmengine - INFO - Epoch(train) [67][ 640/1879] lr: 9.4855e-02 eta: 2 days, 2:26:42 time: 0.4969 data_time: 0.0427 memory: 18108 grad_norm: 3.0395 loss: 4.6191 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6302 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 1.9890 2023/02/01 03:00:54 - mmengine - INFO - Epoch(train) [67][ 660/1879] lr: 9.4851e-02 eta: 2 days, 2:26:31 time: 0.4971 data_time: 0.0327 memory: 18108 grad_norm: 2.9980 loss: 4.6093 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6863 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.9230 2023/02/01 03:01:04 - mmengine - INFO - Epoch(train) [67][ 680/1879] lr: 9.4848e-02 eta: 2 days, 2:26:20 time: 0.4972 data_time: 0.0342 memory: 18108 grad_norm: 2.9341 loss: 4.5387 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6962 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.8425 2023/02/01 03:01:14 - mmengine - INFO - Epoch(train) [67][ 700/1879] lr: 9.4845e-02 eta: 2 days, 2:26:09 time: 0.4959 data_time: 0.0387 memory: 18108 grad_norm: 2.9382 loss: 4.9074 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9450 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.9625 2023/02/01 03:01:24 - mmengine - INFO - Epoch(train) [67][ 720/1879] lr: 9.4841e-02 eta: 2 days, 2:25:58 time: 0.4859 data_time: 0.0348 memory: 18108 grad_norm: 2.9396 loss: 4.2965 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3830 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9135 2023/02/01 03:01:34 - mmengine - INFO - Epoch(train) [67][ 740/1879] lr: 9.4838e-02 eta: 2 days, 2:25:47 time: 0.5044 data_time: 0.0320 memory: 18108 grad_norm: 3.0782 loss: 4.6701 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7875 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.8826 2023/02/01 03:01:44 - mmengine - INFO - Epoch(train) [67][ 760/1879] lr: 9.4835e-02 eta: 2 days, 2:25:37 time: 0.5026 data_time: 0.0365 memory: 18108 grad_norm: 2.9735 loss: 4.5670 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6095 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.9575 2023/02/01 03:01:54 - mmengine - INFO - Epoch(train) [67][ 780/1879] lr: 9.4831e-02 eta: 2 days, 2:25:26 time: 0.4907 data_time: 0.0321 memory: 18108 grad_norm: 2.9302 loss: 4.5437 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6399 top1_acc_1: 0.5882 top5_acc_1: 0.7294 loss_cls_1: 1.9038 2023/02/01 03:02:03 - mmengine - INFO - Epoch(train) [67][ 800/1879] lr: 9.4828e-02 eta: 2 days, 2:25:14 time: 0.4855 data_time: 0.0352 memory: 18108 grad_norm: 2.9870 loss: 4.6031 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6796 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.9235 2023/02/01 03:02:13 - mmengine - INFO - Epoch(train) [67][ 820/1879] lr: 9.4825e-02 eta: 2 days, 2:25:04 time: 0.5085 data_time: 0.0312 memory: 18108 grad_norm: 2.9984 loss: 4.5958 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6545 top1_acc_1: 0.4588 top5_acc_1: 0.7412 loss_cls_1: 1.9413 2023/02/01 03:02:24 - mmengine - INFO - Epoch(train) [67][ 840/1879] lr: 9.4821e-02 eta: 2 days, 2:24:54 time: 0.5175 data_time: 0.0431 memory: 18108 grad_norm: 2.9815 loss: 4.4676 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.5850 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8826 2023/02/01 03:02:34 - mmengine - INFO - Epoch(train) [67][ 860/1879] lr: 9.4818e-02 eta: 2 days, 2:24:43 time: 0.4951 data_time: 0.0324 memory: 18108 grad_norm: 2.9609 loss: 4.5502 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6676 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.8826 2023/02/01 03:02:44 - mmengine - INFO - Epoch(train) [67][ 880/1879] lr: 9.4815e-02 eta: 2 days, 2:24:33 time: 0.5053 data_time: 0.0379 memory: 18108 grad_norm: 2.9926 loss: 4.3619 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5020 top1_acc_1: 0.4706 top5_acc_1: 0.8353 loss_cls_1: 1.8599 2023/02/01 03:02:54 - mmengine - INFO - Epoch(train) [67][ 900/1879] lr: 9.4811e-02 eta: 2 days, 2:24:23 time: 0.5272 data_time: 0.0393 memory: 18108 grad_norm: 2.9852 loss: 4.5650 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5820 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9831 2023/02/01 03:03:04 - mmengine - INFO - Epoch(train) [67][ 920/1879] lr: 9.4808e-02 eta: 2 days, 2:24:13 time: 0.4985 data_time: 0.0352 memory: 18108 grad_norm: 2.9941 loss: 4.4139 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.4884 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.9254 2023/02/01 03:03:14 - mmengine - INFO - Epoch(train) [67][ 940/1879] lr: 9.4805e-02 eta: 2 days, 2:24:01 time: 0.4930 data_time: 0.0313 memory: 18108 grad_norm: 2.9739 loss: 4.7089 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7602 top1_acc_1: 0.5176 top5_acc_1: 0.9176 loss_cls_1: 1.9487 2023/02/01 03:03:25 - mmengine - INFO - Epoch(train) [67][ 960/1879] lr: 9.4801e-02 eta: 2 days, 2:23:52 time: 0.5153 data_time: 0.0363 memory: 18108 grad_norm: 2.9914 loss: 4.4990 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6956 top1_acc_1: 0.4941 top5_acc_1: 0.8235 loss_cls_1: 1.8034 2023/02/01 03:03:35 - mmengine - INFO - Epoch(train) [67][ 980/1879] lr: 9.4798e-02 eta: 2 days, 2:23:42 time: 0.5151 data_time: 0.0387 memory: 18108 grad_norm: 3.0403 loss: 4.6242 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6967 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 1.9274 2023/02/01 03:03:38 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 03:03:45 - mmengine - INFO - Epoch(train) [67][1000/1879] lr: 9.4794e-02 eta: 2 days, 2:23:31 time: 0.5015 data_time: 0.0348 memory: 18108 grad_norm: 2.9216 loss: 4.4641 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.5329 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.9312 2023/02/01 03:03:55 - mmengine - INFO - Epoch(train) [67][1020/1879] lr: 9.4791e-02 eta: 2 days, 2:23:21 time: 0.5091 data_time: 0.0316 memory: 18108 grad_norm: 2.9334 loss: 4.8202 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8602 top1_acc_1: 0.6706 top5_acc_1: 0.8000 loss_cls_1: 1.9600 2023/02/01 03:04:06 - mmengine - INFO - Epoch(train) [67][1040/1879] lr: 9.4788e-02 eta: 2 days, 2:23:12 time: 0.5331 data_time: 0.0413 memory: 18108 grad_norm: 2.9645 loss: 4.5917 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6789 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9129 2023/02/01 03:04:16 - mmengine - INFO - Epoch(train) [67][1060/1879] lr: 9.4784e-02 eta: 2 days, 2:23:03 time: 0.5244 data_time: 0.0302 memory: 18108 grad_norm: 3.0073 loss: 4.5223 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5229 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.9994 2023/02/01 03:04:26 - mmengine - INFO - Epoch(train) [67][1080/1879] lr: 9.4781e-02 eta: 2 days, 2:22:52 time: 0.5066 data_time: 0.0355 memory: 18108 grad_norm: 3.0672 loss: 4.6120 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.7078 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9041 2023/02/01 03:04:37 - mmengine - INFO - Epoch(train) [67][1100/1879] lr: 9.4778e-02 eta: 2 days, 2:22:43 time: 0.5265 data_time: 0.0322 memory: 18108 grad_norm: 2.9924 loss: 4.4187 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5438 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8749 2023/02/01 03:04:47 - mmengine - INFO - Epoch(train) [67][1120/1879] lr: 9.4774e-02 eta: 2 days, 2:22:34 time: 0.5235 data_time: 0.0436 memory: 18108 grad_norm: 2.9779 loss: 4.5380 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7082 top1_acc_1: 0.6118 top5_acc_1: 0.7294 loss_cls_1: 1.8298 2023/02/01 03:04:58 - mmengine - INFO - Epoch(train) [67][1140/1879] lr: 9.4771e-02 eta: 2 days, 2:22:23 time: 0.5111 data_time: 0.0309 memory: 18108 grad_norm: 3.0057 loss: 4.6837 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.7579 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9258 2023/02/01 03:05:08 - mmengine - INFO - Epoch(train) [67][1160/1879] lr: 9.4768e-02 eta: 2 days, 2:22:14 time: 0.5201 data_time: 0.0352 memory: 18108 grad_norm: 3.0510 loss: 4.6719 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7652 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9067 2023/02/01 03:05:18 - mmengine - INFO - Epoch(train) [67][1180/1879] lr: 9.4764e-02 eta: 2 days, 2:22:04 time: 0.5224 data_time: 0.0316 memory: 18108 grad_norm: 2.9628 loss: 4.5505 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5371 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 2.0134 2023/02/01 03:05:29 - mmengine - INFO - Epoch(train) [67][1200/1879] lr: 9.4761e-02 eta: 2 days, 2:21:55 time: 0.5160 data_time: 0.0415 memory: 18108 grad_norm: 2.9512 loss: 4.5312 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6200 top1_acc_1: 0.4588 top5_acc_1: 0.7059 loss_cls_1: 1.9112 2023/02/01 03:05:39 - mmengine - INFO - Epoch(train) [67][1220/1879] lr: 9.4758e-02 eta: 2 days, 2:21:44 time: 0.5094 data_time: 0.0305 memory: 18108 grad_norm: 2.9424 loss: 4.8775 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.9458 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 1.9318 2023/02/01 03:05:49 - mmengine - INFO - Epoch(train) [67][1240/1879] lr: 9.4754e-02 eta: 2 days, 2:21:35 time: 0.5229 data_time: 0.0340 memory: 18108 grad_norm: 2.9529 loss: 4.3838 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5268 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8570 2023/02/01 03:06:00 - mmengine - INFO - Epoch(train) [67][1260/1879] lr: 9.4751e-02 eta: 2 days, 2:21:26 time: 0.5243 data_time: 0.0311 memory: 18108 grad_norm: 2.9650 loss: 4.6874 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.7851 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.9023 2023/02/01 03:06:10 - mmengine - INFO - Epoch(train) [67][1280/1879] lr: 9.4748e-02 eta: 2 days, 2:21:16 time: 0.5179 data_time: 0.0352 memory: 18108 grad_norm: 2.9428 loss: 4.5957 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7622 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8334 2023/02/01 03:06:21 - mmengine - INFO - Epoch(train) [67][1300/1879] lr: 9.4744e-02 eta: 2 days, 2:21:06 time: 0.5144 data_time: 0.0305 memory: 18108 grad_norm: 2.9298 loss: 4.6257 top1_acc_0: 0.3125 top5_acc_0: 0.3125 loss_cls_0: 2.6879 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9378 2023/02/01 03:06:31 - mmengine - INFO - Epoch(train) [67][1320/1879] lr: 9.4741e-02 eta: 2 days, 2:20:57 time: 0.5327 data_time: 0.0412 memory: 18108 grad_norm: 2.8956 loss: 4.6511 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6730 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9782 2023/02/01 03:06:41 - mmengine - INFO - Epoch(train) [67][1340/1879] lr: 9.4737e-02 eta: 2 days, 2:20:47 time: 0.5089 data_time: 0.0306 memory: 18108 grad_norm: 2.9036 loss: 4.6560 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6782 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9778 2023/02/01 03:06:52 - mmengine - INFO - Epoch(train) [67][1360/1879] lr: 9.4734e-02 eta: 2 days, 2:20:37 time: 0.5184 data_time: 0.0339 memory: 18108 grad_norm: 2.9719 loss: 4.3950 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4883 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.9067 2023/02/01 03:07:02 - mmengine - INFO - Epoch(train) [67][1380/1879] lr: 9.4731e-02 eta: 2 days, 2:20:28 time: 0.5299 data_time: 0.0314 memory: 18108 grad_norm: 2.9521 loss: 4.4171 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5990 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.8181 2023/02/01 03:07:13 - mmengine - INFO - Epoch(train) [67][1400/1879] lr: 9.4727e-02 eta: 2 days, 2:20:18 time: 0.5132 data_time: 0.0355 memory: 18108 grad_norm: 2.9899 loss: 4.5828 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5635 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 2.0193 2023/02/01 03:07:23 - mmengine - INFO - Epoch(train) [67][1420/1879] lr: 9.4724e-02 eta: 2 days, 2:20:09 time: 0.5261 data_time: 0.0316 memory: 18108 grad_norm: 2.9392 loss: 4.4079 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5194 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8885 2023/02/01 03:07:34 - mmengine - INFO - Epoch(train) [67][1440/1879] lr: 9.4721e-02 eta: 2 days, 2:20:00 time: 0.5284 data_time: 0.0362 memory: 18108 grad_norm: 2.9483 loss: 4.5979 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7185 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8794 2023/02/01 03:07:44 - mmengine - INFO - Epoch(train) [67][1460/1879] lr: 9.4717e-02 eta: 2 days, 2:19:50 time: 0.5219 data_time: 0.0367 memory: 18108 grad_norm: 2.9806 loss: 4.6411 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.6576 top1_acc_1: 0.4235 top5_acc_1: 0.6941 loss_cls_1: 1.9834 2023/02/01 03:07:55 - mmengine - INFO - Epoch(train) [67][1480/1879] lr: 9.4714e-02 eta: 2 days, 2:19:41 time: 0.5305 data_time: 0.0348 memory: 18108 grad_norm: 2.9849 loss: 4.6793 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7395 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.9398 2023/02/01 03:08:06 - mmengine - INFO - Epoch(train) [67][1500/1879] lr: 9.4711e-02 eta: 2 days, 2:19:32 time: 0.5294 data_time: 0.0382 memory: 18108 grad_norm: 2.9904 loss: 4.5689 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7013 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.8675 2023/02/01 03:08:16 - mmengine - INFO - Epoch(train) [67][1520/1879] lr: 9.4707e-02 eta: 2 days, 2:19:24 time: 0.5472 data_time: 0.0353 memory: 18108 grad_norm: 2.9745 loss: 4.4345 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5942 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.8403 2023/02/01 03:08:27 - mmengine - INFO - Epoch(train) [67][1540/1879] lr: 9.4704e-02 eta: 2 days, 2:19:15 time: 0.5222 data_time: 0.0395 memory: 18108 grad_norm: 3.0259 loss: 4.6379 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6887 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 1.9492 2023/02/01 03:08:38 - mmengine - INFO - Epoch(train) [67][1560/1879] lr: 9.4700e-02 eta: 2 days, 2:19:06 time: 0.5361 data_time: 0.0299 memory: 18108 grad_norm: 3.0293 loss: 4.3966 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5160 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.8807 2023/02/01 03:08:48 - mmengine - INFO - Epoch(train) [67][1580/1879] lr: 9.4697e-02 eta: 2 days, 2:18:57 time: 0.5284 data_time: 0.0356 memory: 18108 grad_norm: 2.9329 loss: 4.4742 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5086 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.9656 2023/02/01 03:08:58 - mmengine - INFO - Epoch(train) [67][1600/1879] lr: 9.4694e-02 eta: 2 days, 2:18:46 time: 0.5066 data_time: 0.0370 memory: 18108 grad_norm: 2.9816 loss: 4.5690 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6382 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.9308 2023/02/01 03:09:09 - mmengine - INFO - Epoch(train) [67][1620/1879] lr: 9.4690e-02 eta: 2 days, 2:18:37 time: 0.5144 data_time: 0.0370 memory: 18108 grad_norm: 2.9704 loss: 4.6296 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6596 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9700 2023/02/01 03:09:19 - mmengine - INFO - Epoch(train) [67][1640/1879] lr: 9.4687e-02 eta: 2 days, 2:18:27 time: 0.5163 data_time: 0.0299 memory: 18108 grad_norm: 2.9661 loss: 4.8790 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8466 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 2.0324 2023/02/01 03:09:30 - mmengine - INFO - Epoch(train) [67][1660/1879] lr: 9.4684e-02 eta: 2 days, 2:18:18 time: 0.5361 data_time: 0.0495 memory: 18108 grad_norm: 2.9631 loss: 4.7385 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7833 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.9552 2023/02/01 03:09:40 - mmengine - INFO - Epoch(train) [67][1680/1879] lr: 9.4680e-02 eta: 2 days, 2:18:08 time: 0.5091 data_time: 0.0283 memory: 18108 grad_norm: 2.9524 loss: 4.5190 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6484 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8706 2023/02/01 03:09:50 - mmengine - INFO - Epoch(train) [67][1700/1879] lr: 9.4677e-02 eta: 2 days, 2:17:58 time: 0.5250 data_time: 0.0373 memory: 18108 grad_norm: 2.9683 loss: 4.5528 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6684 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.8843 2023/02/01 03:10:01 - mmengine - INFO - Epoch(train) [67][1720/1879] lr: 9.4673e-02 eta: 2 days, 2:17:50 time: 0.5489 data_time: 0.0361 memory: 18108 grad_norm: 2.9764 loss: 4.4555 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5491 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9064 2023/02/01 03:10:11 - mmengine - INFO - Epoch(train) [67][1740/1879] lr: 9.4670e-02 eta: 2 days, 2:17:40 time: 0.4984 data_time: 0.0407 memory: 18108 grad_norm: 3.0344 loss: 4.8054 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8173 top1_acc_1: 0.4588 top5_acc_1: 0.6941 loss_cls_1: 1.9881 2023/02/01 03:10:21 - mmengine - INFO - Epoch(train) [67][1760/1879] lr: 9.4667e-02 eta: 2 days, 2:17:29 time: 0.5020 data_time: 0.0308 memory: 18108 grad_norm: 2.9469 loss: 4.7740 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.8125 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.9615 2023/02/01 03:10:32 - mmengine - INFO - Epoch(train) [67][1780/1879] lr: 9.4663e-02 eta: 2 days, 2:17:19 time: 0.5182 data_time: 0.0377 memory: 18108 grad_norm: 2.9131 loss: 4.5419 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6512 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8907 2023/02/01 03:10:42 - mmengine - INFO - Epoch(train) [67][1800/1879] lr: 9.4660e-02 eta: 2 days, 2:17:10 time: 0.5172 data_time: 0.0361 memory: 18108 grad_norm: 2.9721 loss: 4.6734 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.7651 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.9083 2023/02/01 03:10:52 - mmengine - INFO - Epoch(train) [67][1820/1879] lr: 9.4656e-02 eta: 2 days, 2:16:59 time: 0.5056 data_time: 0.0377 memory: 18108 grad_norm: 2.9815 loss: 4.5089 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6225 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8864 2023/02/01 03:11:02 - mmengine - INFO - Epoch(train) [67][1840/1879] lr: 9.4653e-02 eta: 2 days, 2:16:48 time: 0.5009 data_time: 0.0302 memory: 18108 grad_norm: 2.9059 loss: 4.6541 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7049 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.9492 2023/02/01 03:11:13 - mmengine - INFO - Epoch(train) [67][1860/1879] lr: 9.4650e-02 eta: 2 days, 2:16:39 time: 0.5211 data_time: 0.0372 memory: 18108 grad_norm: 2.9835 loss: 4.7717 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7455 top1_acc_1: 0.4353 top5_acc_1: 0.7176 loss_cls_1: 2.0262 2023/02/01 03:11:22 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 03:11:22 - mmengine - INFO - Epoch(train) [67][1879/1879] lr: 9.4646e-02 eta: 2 days, 2:16:28 time: 0.4904 data_time: 0.0285 memory: 18108 grad_norm: 3.0878 loss: 4.8567 top1_acc_0: 0.5714 top5_acc_0: 0.8571 loss_cls_0: 2.9167 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.9400 2023/02/01 03:11:37 - mmengine - INFO - Epoch(train) [68][ 20/1879] lr: 9.4643e-02 eta: 2 days, 2:16:29 time: 0.7064 data_time: 0.2562 memory: 18108 grad_norm: 2.9610 loss: 4.6927 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8154 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.8773 2023/02/01 03:11:46 - mmengine - INFO - Epoch(train) [68][ 40/1879] lr: 9.4640e-02 eta: 2 days, 2:16:17 time: 0.4681 data_time: 0.0324 memory: 18108 grad_norm: 2.9245 loss: 4.4995 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6792 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.8203 2023/02/01 03:11:56 - mmengine - INFO - Epoch(train) [68][ 60/1879] lr: 9.4636e-02 eta: 2 days, 2:16:05 time: 0.4757 data_time: 0.0392 memory: 18108 grad_norm: 2.9486 loss: 4.5239 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6051 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.9188 2023/02/01 03:12:06 - mmengine - INFO - Epoch(train) [68][ 80/1879] lr: 9.4633e-02 eta: 2 days, 2:15:54 time: 0.5109 data_time: 0.0319 memory: 18108 grad_norm: 3.0244 loss: 4.4728 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6362 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.8366 2023/02/01 03:12:16 - mmengine - INFO - Epoch(train) [68][ 100/1879] lr: 9.4629e-02 eta: 2 days, 2:15:42 time: 0.4782 data_time: 0.0397 memory: 18108 grad_norm: 2.9118 loss: 4.4166 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5156 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.9010 2023/02/01 03:12:19 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 03:12:25 - mmengine - INFO - Epoch(train) [68][ 120/1879] lr: 9.4626e-02 eta: 2 days, 2:15:30 time: 0.4626 data_time: 0.0319 memory: 18108 grad_norm: 2.9610 loss: 4.5772 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7042 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.8730 2023/02/01 03:12:35 - mmengine - INFO - Epoch(train) [68][ 140/1879] lr: 9.4623e-02 eta: 2 days, 2:15:19 time: 0.5076 data_time: 0.0375 memory: 18108 grad_norm: 2.9792 loss: 4.6828 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7639 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.9190 2023/02/01 03:12:45 - mmengine - INFO - Epoch(train) [68][ 160/1879] lr: 9.4619e-02 eta: 2 days, 2:15:08 time: 0.4808 data_time: 0.0307 memory: 18108 grad_norm: 2.9509 loss: 4.3780 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5550 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8230 2023/02/01 03:12:54 - mmengine - INFO - Epoch(train) [68][ 180/1879] lr: 9.4616e-02 eta: 2 days, 2:14:56 time: 0.4779 data_time: 0.0365 memory: 18108 grad_norm: 2.9915 loss: 4.5150 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.6723 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8426 2023/02/01 03:13:04 - mmengine - INFO - Epoch(train) [68][ 200/1879] lr: 9.4613e-02 eta: 2 days, 2:14:43 time: 0.4631 data_time: 0.0310 memory: 18108 grad_norm: 2.9981 loss: 4.4654 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5621 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.9033 2023/02/01 03:13:14 - mmengine - INFO - Epoch(train) [68][ 220/1879] lr: 9.4609e-02 eta: 2 days, 2:14:33 time: 0.5138 data_time: 0.0375 memory: 18108 grad_norm: 3.0190 loss: 4.3824 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5440 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.8384 2023/02/01 03:13:24 - mmengine - INFO - Epoch(train) [68][ 240/1879] lr: 9.4606e-02 eta: 2 days, 2:14:21 time: 0.4868 data_time: 0.0313 memory: 18108 grad_norm: 2.9820 loss: 4.3738 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4787 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.8950 2023/02/01 03:13:33 - mmengine - INFO - Epoch(train) [68][ 260/1879] lr: 9.4602e-02 eta: 2 days, 2:14:10 time: 0.4917 data_time: 0.0363 memory: 18108 grad_norm: 2.9752 loss: 4.6930 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.8065 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8865 2023/02/01 03:13:43 - mmengine - INFO - Epoch(train) [68][ 280/1879] lr: 9.4599e-02 eta: 2 days, 2:13:59 time: 0.4958 data_time: 0.0307 memory: 18108 grad_norm: 2.9328 loss: 4.2808 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4193 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8615 2023/02/01 03:13:54 - mmengine - INFO - Epoch(train) [68][ 300/1879] lr: 9.4595e-02 eta: 2 days, 2:13:49 time: 0.5054 data_time: 0.0434 memory: 18108 grad_norm: 3.0384 loss: 4.5713 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7477 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.8235 2023/02/01 03:14:03 - mmengine - INFO - Epoch(train) [68][ 320/1879] lr: 9.4592e-02 eta: 2 days, 2:13:37 time: 0.4759 data_time: 0.0323 memory: 18108 grad_norm: 2.9788 loss: 4.3378 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5114 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.8263 2023/02/01 03:14:13 - mmengine - INFO - Epoch(train) [68][ 340/1879] lr: 9.4589e-02 eta: 2 days, 2:13:26 time: 0.5064 data_time: 0.0376 memory: 18108 grad_norm: 2.9919 loss: 4.6411 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7866 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8545 2023/02/01 03:14:23 - mmengine - INFO - Epoch(train) [68][ 360/1879] lr: 9.4585e-02 eta: 2 days, 2:13:14 time: 0.4753 data_time: 0.0325 memory: 18108 grad_norm: 2.9357 loss: 4.5407 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.6621 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8785 2023/02/01 03:14:33 - mmengine - INFO - Epoch(train) [68][ 380/1879] lr: 9.4582e-02 eta: 2 days, 2:13:04 time: 0.5167 data_time: 0.0371 memory: 18108 grad_norm: 2.9507 loss: 4.5988 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7031 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8957 2023/02/01 03:14:43 - mmengine - INFO - Epoch(train) [68][ 400/1879] lr: 9.4578e-02 eta: 2 days, 2:12:53 time: 0.4854 data_time: 0.0327 memory: 18108 grad_norm: 2.9818 loss: 4.4583 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6117 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.8465 2023/02/01 03:14:53 - mmengine - INFO - Epoch(train) [68][ 420/1879] lr: 9.4575e-02 eta: 2 days, 2:12:42 time: 0.4981 data_time: 0.0363 memory: 18108 grad_norm: 3.0174 loss: 4.5520 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6745 top1_acc_1: 0.5647 top5_acc_1: 0.8706 loss_cls_1: 1.8775 2023/02/01 03:15:03 - mmengine - INFO - Epoch(train) [68][ 440/1879] lr: 9.4572e-02 eta: 2 days, 2:12:31 time: 0.4967 data_time: 0.0363 memory: 18108 grad_norm: 2.9644 loss: 4.5905 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6579 top1_acc_1: 0.6471 top5_acc_1: 0.7765 loss_cls_1: 1.9325 2023/02/01 03:15:13 - mmengine - INFO - Epoch(train) [68][ 460/1879] lr: 9.4568e-02 eta: 2 days, 2:12:21 time: 0.5166 data_time: 0.0359 memory: 18108 grad_norm: 2.9158 loss: 4.4400 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5512 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8888 2023/02/01 03:15:23 - mmengine - INFO - Epoch(train) [68][ 480/1879] lr: 9.4565e-02 eta: 2 days, 2:12:10 time: 0.4946 data_time: 0.0317 memory: 18108 grad_norm: 2.9580 loss: 4.5316 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6350 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8965 2023/02/01 03:15:33 - mmengine - INFO - Epoch(train) [68][ 500/1879] lr: 9.4561e-02 eta: 2 days, 2:11:59 time: 0.4947 data_time: 0.0435 memory: 18108 grad_norm: 3.0162 loss: 4.7528 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7721 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.9807 2023/02/01 03:15:43 - mmengine - INFO - Epoch(train) [68][ 520/1879] lr: 9.4558e-02 eta: 2 days, 2:11:48 time: 0.4938 data_time: 0.0309 memory: 18108 grad_norm: 3.0825 loss: 4.5254 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5861 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 1.9393 2023/02/01 03:15:53 - mmengine - INFO - Epoch(train) [68][ 540/1879] lr: 9.4555e-02 eta: 2 days, 2:11:38 time: 0.5147 data_time: 0.0362 memory: 18108 grad_norm: 2.9603 loss: 4.6129 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5874 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 2.0254 2023/02/01 03:16:03 - mmengine - INFO - Epoch(train) [68][ 560/1879] lr: 9.4551e-02 eta: 2 days, 2:11:27 time: 0.4888 data_time: 0.0305 memory: 18108 grad_norm: 3.0125 loss: 4.6073 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6983 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9090 2023/02/01 03:16:13 - mmengine - INFO - Epoch(train) [68][ 580/1879] lr: 9.4548e-02 eta: 2 days, 2:11:16 time: 0.5002 data_time: 0.0427 memory: 18108 grad_norm: 2.9844 loss: 4.5290 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6022 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.9268 2023/02/01 03:16:23 - mmengine - INFO - Epoch(train) [68][ 600/1879] lr: 9.4544e-02 eta: 2 days, 2:11:05 time: 0.5019 data_time: 0.0310 memory: 18108 grad_norm: 2.9926 loss: 4.6785 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.7744 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9041 2023/02/01 03:16:33 - mmengine - INFO - Epoch(train) [68][ 620/1879] lr: 9.4541e-02 eta: 2 days, 2:10:56 time: 0.5173 data_time: 0.0386 memory: 18108 grad_norm: 2.9698 loss: 4.5354 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.5243 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 2.0111 2023/02/01 03:16:43 - mmengine - INFO - Epoch(train) [68][ 640/1879] lr: 9.4537e-02 eta: 2 days, 2:10:44 time: 0.4890 data_time: 0.0401 memory: 18108 grad_norm: 2.9557 loss: 4.6498 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6721 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.9777 2023/02/01 03:16:53 - mmengine - INFO - Epoch(train) [68][ 660/1879] lr: 9.4534e-02 eta: 2 days, 2:10:35 time: 0.5175 data_time: 0.0355 memory: 18108 grad_norm: 2.9935 loss: 4.7322 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 2.8295 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9027 2023/02/01 03:17:03 - mmengine - INFO - Epoch(train) [68][ 680/1879] lr: 9.4531e-02 eta: 2 days, 2:10:24 time: 0.4999 data_time: 0.0318 memory: 18108 grad_norm: 2.9832 loss: 4.8296 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8507 top1_acc_1: 0.4824 top5_acc_1: 0.7882 loss_cls_1: 1.9789 2023/02/01 03:17:14 - mmengine - INFO - Epoch(train) [68][ 700/1879] lr: 9.4527e-02 eta: 2 days, 2:10:14 time: 0.5214 data_time: 0.0425 memory: 18108 grad_norm: 2.9670 loss: 4.4200 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5678 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.8522 2023/02/01 03:17:24 - mmengine - INFO - Epoch(train) [68][ 720/1879] lr: 9.4524e-02 eta: 2 days, 2:10:04 time: 0.4999 data_time: 0.0303 memory: 18108 grad_norm: 2.9832 loss: 4.5594 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6236 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.9358 2023/02/01 03:17:34 - mmengine - INFO - Epoch(train) [68][ 740/1879] lr: 9.4520e-02 eta: 2 days, 2:09:55 time: 0.5328 data_time: 0.0369 memory: 18108 grad_norm: 3.0293 loss: 4.6526 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.6742 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.9784 2023/02/01 03:17:45 - mmengine - INFO - Epoch(train) [68][ 760/1879] lr: 9.4517e-02 eta: 2 days, 2:09:45 time: 0.5096 data_time: 0.0295 memory: 18108 grad_norm: 3.0027 loss: 4.4261 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6357 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7904 2023/02/01 03:17:55 - mmengine - INFO - Epoch(train) [68][ 780/1879] lr: 9.4513e-02 eta: 2 days, 2:09:35 time: 0.5225 data_time: 0.0416 memory: 18108 grad_norm: 2.9840 loss: 4.5583 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7513 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.8070 2023/02/01 03:18:06 - mmengine - INFO - Epoch(train) [68][ 800/1879] lr: 9.4510e-02 eta: 2 days, 2:09:26 time: 0.5247 data_time: 0.0308 memory: 18108 grad_norm: 2.9662 loss: 4.5045 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.5564 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.9480 2023/02/01 03:18:16 - mmengine - INFO - Epoch(train) [68][ 820/1879] lr: 9.4507e-02 eta: 2 days, 2:09:16 time: 0.5129 data_time: 0.0382 memory: 18108 grad_norm: 2.9220 loss: 4.4191 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5926 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.8265 2023/02/01 03:18:26 - mmengine - INFO - Epoch(train) [68][ 840/1879] lr: 9.4503e-02 eta: 2 days, 2:09:05 time: 0.5044 data_time: 0.0297 memory: 18108 grad_norm: 3.0002 loss: 4.6597 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.7823 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8773 2023/02/01 03:18:36 - mmengine - INFO - Epoch(train) [68][ 860/1879] lr: 9.4500e-02 eta: 2 days, 2:08:56 time: 0.5186 data_time: 0.0410 memory: 18108 grad_norm: 2.9801 loss: 4.5740 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7341 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.8398 2023/02/01 03:18:47 - mmengine - INFO - Epoch(train) [68][ 880/1879] lr: 9.4496e-02 eta: 2 days, 2:08:46 time: 0.5169 data_time: 0.0301 memory: 18108 grad_norm: 2.9938 loss: 4.7813 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.8194 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.9619 2023/02/01 03:18:57 - mmengine - INFO - Epoch(train) [68][ 900/1879] lr: 9.4493e-02 eta: 2 days, 2:08:36 time: 0.5202 data_time: 0.0365 memory: 18108 grad_norm: 2.9847 loss: 4.3734 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5180 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8554 2023/02/01 03:19:07 - mmengine - INFO - Epoch(train) [68][ 920/1879] lr: 9.4489e-02 eta: 2 days, 2:08:26 time: 0.5108 data_time: 0.0307 memory: 18108 grad_norm: 2.9821 loss: 4.5084 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6377 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.8708 2023/02/01 03:19:18 - mmengine - INFO - Epoch(train) [68][ 940/1879] lr: 9.4486e-02 eta: 2 days, 2:08:16 time: 0.5195 data_time: 0.0422 memory: 18108 grad_norm: 2.9897 loss: 4.2902 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3973 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8929 2023/02/01 03:19:28 - mmengine - INFO - Epoch(train) [68][ 960/1879] lr: 9.4483e-02 eta: 2 days, 2:08:06 time: 0.5130 data_time: 0.0298 memory: 18108 grad_norm: 3.0448 loss: 4.5900 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6476 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9423 2023/02/01 03:19:38 - mmengine - INFO - Epoch(train) [68][ 980/1879] lr: 9.4479e-02 eta: 2 days, 2:07:57 time: 0.5198 data_time: 0.0365 memory: 18108 grad_norm: 2.9379 loss: 4.3167 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.4557 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8611 2023/02/01 03:19:49 - mmengine - INFO - Epoch(train) [68][1000/1879] lr: 9.4476e-02 eta: 2 days, 2:07:47 time: 0.5119 data_time: 0.0370 memory: 18108 grad_norm: 2.9557 loss: 4.5229 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6125 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9104 2023/02/01 03:19:59 - mmengine - INFO - Epoch(train) [68][1020/1879] lr: 9.4472e-02 eta: 2 days, 2:07:38 time: 0.5345 data_time: 0.0370 memory: 18108 grad_norm: 2.9778 loss: 4.7284 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7229 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 2.0055 2023/02/01 03:20:09 - mmengine - INFO - Epoch(train) [68][1040/1879] lr: 9.4469e-02 eta: 2 days, 2:07:27 time: 0.4891 data_time: 0.0315 memory: 18108 grad_norm: 2.9830 loss: 4.4552 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.5098 top1_acc_1: 0.4824 top5_acc_1: 0.7882 loss_cls_1: 1.9455 2023/02/01 03:20:19 - mmengine - INFO - Epoch(train) [68][1060/1879] lr: 9.4465e-02 eta: 2 days, 2:07:16 time: 0.5073 data_time: 0.0363 memory: 18108 grad_norm: 3.0142 loss: 4.6637 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 2.7031 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.9607 2023/02/01 03:20:30 - mmengine - INFO - Epoch(train) [68][1080/1879] lr: 9.4462e-02 eta: 2 days, 2:07:06 time: 0.5176 data_time: 0.0360 memory: 18108 grad_norm: 3.0274 loss: 4.3873 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5142 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8731 2023/02/01 03:20:40 - mmengine - INFO - Epoch(train) [68][1100/1879] lr: 9.4458e-02 eta: 2 days, 2:06:56 time: 0.5068 data_time: 0.0361 memory: 18108 grad_norm: 2.9405 loss: 4.5245 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6248 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8997 2023/02/01 03:20:43 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 03:20:50 - mmengine - INFO - Epoch(train) [68][1120/1879] lr: 9.4455e-02 eta: 2 days, 2:06:45 time: 0.4900 data_time: 0.0330 memory: 18108 grad_norm: 3.0143 loss: 4.5468 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.7157 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.8311 2023/02/01 03:21:00 - mmengine - INFO - Epoch(train) [68][1140/1879] lr: 9.4452e-02 eta: 2 days, 2:06:36 time: 0.5299 data_time: 0.0429 memory: 18108 grad_norm: 2.9786 loss: 4.4969 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5493 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.9476 2023/02/01 03:21:10 - mmengine - INFO - Epoch(train) [68][1160/1879] lr: 9.4448e-02 eta: 2 days, 2:06:25 time: 0.5079 data_time: 0.0312 memory: 18108 grad_norm: 2.9533 loss: 4.6654 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7675 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.8979 2023/02/01 03:21:21 - mmengine - INFO - Epoch(train) [68][1180/1879] lr: 9.4445e-02 eta: 2 days, 2:06:15 time: 0.5105 data_time: 0.0364 memory: 18108 grad_norm: 2.9221 loss: 4.3618 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.5603 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.8015 2023/02/01 03:21:31 - mmengine - INFO - Epoch(train) [68][1200/1879] lr: 9.4441e-02 eta: 2 days, 2:06:04 time: 0.4958 data_time: 0.0306 memory: 18108 grad_norm: 2.9870 loss: 4.7993 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7695 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 2.0298 2023/02/01 03:21:41 - mmengine - INFO - Epoch(train) [68][1220/1879] lr: 9.4438e-02 eta: 2 days, 2:05:55 time: 0.5188 data_time: 0.0413 memory: 18108 grad_norm: 2.9613 loss: 4.6680 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6442 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 2.0238 2023/02/01 03:21:51 - mmengine - INFO - Epoch(train) [68][1240/1879] lr: 9.4434e-02 eta: 2 days, 2:05:44 time: 0.5028 data_time: 0.0301 memory: 18108 grad_norm: 2.9359 loss: 4.6882 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7331 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 1.9551 2023/02/01 03:22:01 - mmengine - INFO - Epoch(train) [68][1260/1879] lr: 9.4431e-02 eta: 2 days, 2:05:33 time: 0.5003 data_time: 0.0358 memory: 18108 grad_norm: 2.9593 loss: 4.7709 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8648 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.9061 2023/02/01 03:22:11 - mmengine - INFO - Epoch(train) [68][1280/1879] lr: 9.4427e-02 eta: 2 days, 2:05:23 time: 0.5083 data_time: 0.0301 memory: 18108 grad_norm: 2.9048 loss: 4.4508 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.5519 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8990 2023/02/01 03:22:22 - mmengine - INFO - Epoch(train) [68][1300/1879] lr: 9.4424e-02 eta: 2 days, 2:05:13 time: 0.5172 data_time: 0.0424 memory: 18108 grad_norm: 2.9721 loss: 4.4057 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4667 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.9390 2023/02/01 03:22:31 - mmengine - INFO - Epoch(train) [68][1320/1879] lr: 9.4420e-02 eta: 2 days, 2:05:02 time: 0.4940 data_time: 0.0312 memory: 18108 grad_norm: 3.0016 loss: 4.5728 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6877 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 1.8851 2023/02/01 03:22:42 - mmengine - INFO - Epoch(train) [68][1340/1879] lr: 9.4417e-02 eta: 2 days, 2:04:52 time: 0.5111 data_time: 0.0361 memory: 18108 grad_norm: 2.9624 loss: 4.4168 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4737 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9431 2023/02/01 03:22:52 - mmengine - INFO - Epoch(train) [68][1360/1879] lr: 9.4414e-02 eta: 2 days, 2:04:43 time: 0.5187 data_time: 0.0307 memory: 18108 grad_norm: 3.0291 loss: 4.5508 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5878 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.9630 2023/02/01 03:23:02 - mmengine - INFO - Epoch(train) [68][1380/1879] lr: 9.4410e-02 eta: 2 days, 2:04:33 time: 0.5197 data_time: 0.0424 memory: 18108 grad_norm: 3.0335 loss: 4.6823 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6965 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.9858 2023/02/01 03:23:13 - mmengine - INFO - Epoch(train) [68][1400/1879] lr: 9.4407e-02 eta: 2 days, 2:04:22 time: 0.5037 data_time: 0.0318 memory: 18108 grad_norm: 2.9986 loss: 4.4869 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6863 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.8005 2023/02/01 03:23:23 - mmengine - INFO - Epoch(train) [68][1420/1879] lr: 9.4403e-02 eta: 2 days, 2:04:13 time: 0.5290 data_time: 0.0348 memory: 18108 grad_norm: 3.0277 loss: 4.7230 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7518 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.9712 2023/02/01 03:23:33 - mmengine - INFO - Epoch(train) [68][1440/1879] lr: 9.4400e-02 eta: 2 days, 2:04:03 time: 0.5159 data_time: 0.0299 memory: 18108 grad_norm: 3.0087 loss: 4.4544 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6433 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.8112 2023/02/01 03:23:44 - mmengine - INFO - Epoch(train) [68][1460/1879] lr: 9.4396e-02 eta: 2 days, 2:03:54 time: 0.5211 data_time: 0.0346 memory: 18108 grad_norm: 2.9480 loss: 4.3956 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.5413 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8543 2023/02/01 03:23:54 - mmengine - INFO - Epoch(train) [68][1480/1879] lr: 9.4393e-02 eta: 2 days, 2:03:45 time: 0.5284 data_time: 0.0301 memory: 18108 grad_norm: 2.9886 loss: 4.5547 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6726 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8821 2023/02/01 03:24:05 - mmengine - INFO - Epoch(train) [68][1500/1879] lr: 9.4389e-02 eta: 2 days, 2:03:35 time: 0.5219 data_time: 0.0361 memory: 18108 grad_norm: 2.9984 loss: 4.3657 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.3801 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9855 2023/02/01 03:24:15 - mmengine - INFO - Epoch(train) [68][1520/1879] lr: 9.4386e-02 eta: 2 days, 2:03:25 time: 0.5153 data_time: 0.0374 memory: 18108 grad_norm: 2.9484 loss: 4.6387 top1_acc_0: 0.0000 top5_acc_0: 0.6250 loss_cls_0: 2.7170 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9218 2023/02/01 03:24:26 - mmengine - INFO - Epoch(train) [68][1540/1879] lr: 9.4382e-02 eta: 2 days, 2:03:16 time: 0.5261 data_time: 0.0355 memory: 18108 grad_norm: 2.9986 loss: 4.4273 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5458 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.8815 2023/02/01 03:24:36 - mmengine - INFO - Epoch(train) [68][1560/1879] lr: 9.4379e-02 eta: 2 days, 2:03:07 time: 0.5221 data_time: 0.0305 memory: 18108 grad_norm: 3.0176 loss: 4.4246 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5044 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.9202 2023/02/01 03:24:47 - mmengine - INFO - Epoch(train) [68][1580/1879] lr: 9.4375e-02 eta: 2 days, 2:02:57 time: 0.5164 data_time: 0.0351 memory: 18108 grad_norm: 2.9802 loss: 4.6545 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7374 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.9172 2023/02/01 03:24:57 - mmengine - INFO - Epoch(train) [68][1600/1879] lr: 9.4372e-02 eta: 2 days, 2:02:47 time: 0.5158 data_time: 0.0368 memory: 18108 grad_norm: 2.9122 loss: 4.3188 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.4887 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.8300 2023/02/01 03:25:07 - mmengine - INFO - Epoch(train) [68][1620/1879] lr: 9.4369e-02 eta: 2 days, 2:02:38 time: 0.5254 data_time: 0.0356 memory: 18108 grad_norm: 2.9056 loss: 4.5757 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6726 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 1.9031 2023/02/01 03:25:17 - mmengine - INFO - Epoch(train) [68][1640/1879] lr: 9.4365e-02 eta: 2 days, 2:02:27 time: 0.5027 data_time: 0.0309 memory: 18108 grad_norm: 2.9032 loss: 4.5015 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.6022 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.8994 2023/02/01 03:25:28 - mmengine - INFO - Epoch(train) [68][1660/1879] lr: 9.4362e-02 eta: 2 days, 2:02:17 time: 0.5169 data_time: 0.0456 memory: 18108 grad_norm: 2.9839 loss: 4.6933 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8306 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8627 2023/02/01 03:25:38 - mmengine - INFO - Epoch(train) [68][1680/1879] lr: 9.4358e-02 eta: 2 days, 2:02:06 time: 0.4975 data_time: 0.0327 memory: 18108 grad_norm: 3.0199 loss: 4.6322 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.8074 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.8247 2023/02/01 03:25:48 - mmengine - INFO - Epoch(train) [68][1700/1879] lr: 9.4355e-02 eta: 2 days, 2:01:57 time: 0.5273 data_time: 0.0365 memory: 18108 grad_norm: 2.9527 loss: 4.5568 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6084 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.9483 2023/02/01 03:25:58 - mmengine - INFO - Epoch(train) [68][1720/1879] lr: 9.4351e-02 eta: 2 days, 2:01:46 time: 0.4919 data_time: 0.0319 memory: 18108 grad_norm: 2.8977 loss: 4.5070 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 2.6598 top1_acc_1: 0.4471 top5_acc_1: 0.7412 loss_cls_1: 1.8472 2023/02/01 03:26:09 - mmengine - INFO - Epoch(train) [68][1740/1879] lr: 9.4348e-02 eta: 2 days, 2:01:37 time: 0.5230 data_time: 0.0371 memory: 18108 grad_norm: 2.9898 loss: 4.7676 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7952 top1_acc_1: 0.4824 top5_acc_1: 0.8235 loss_cls_1: 1.9725 2023/02/01 03:26:19 - mmengine - INFO - Epoch(train) [68][1760/1879] lr: 9.4344e-02 eta: 2 days, 2:01:27 time: 0.5138 data_time: 0.0294 memory: 18108 grad_norm: 2.9860 loss: 4.6585 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7498 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.9086 2023/02/01 03:26:29 - mmengine - INFO - Epoch(train) [68][1780/1879] lr: 9.4341e-02 eta: 2 days, 2:01:16 time: 0.4985 data_time: 0.0377 memory: 18108 grad_norm: 2.9135 loss: 4.6911 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7515 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9395 2023/02/01 03:26:39 - mmengine - INFO - Epoch(train) [68][1800/1879] lr: 9.4337e-02 eta: 2 days, 2:01:05 time: 0.5073 data_time: 0.0304 memory: 18108 grad_norm: 2.9724 loss: 4.5251 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5866 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.9385 2023/02/01 03:26:49 - mmengine - INFO - Epoch(train) [68][1820/1879] lr: 9.4334e-02 eta: 2 days, 2:00:56 time: 0.5202 data_time: 0.0360 memory: 18108 grad_norm: 2.9638 loss: 4.5274 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6076 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.9198 2023/02/01 03:27:00 - mmengine - INFO - Epoch(train) [68][1840/1879] lr: 9.4330e-02 eta: 2 days, 2:00:45 time: 0.5007 data_time: 0.0307 memory: 18108 grad_norm: 2.9470 loss: 4.4205 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5082 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9123 2023/02/01 03:27:10 - mmengine - INFO - Epoch(train) [68][1860/1879] lr: 9.4327e-02 eta: 2 days, 2:00:35 time: 0.5030 data_time: 0.0361 memory: 18108 grad_norm: 2.9299 loss: 4.3811 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5268 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.8544 2023/02/01 03:27:19 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 03:27:19 - mmengine - INFO - Epoch(train) [68][1879/1879] lr: 9.4323e-02 eta: 2 days, 2:00:23 time: 0.4807 data_time: 0.0283 memory: 18108 grad_norm: 3.0573 loss: 4.6142 top1_acc_0: 0.5714 top5_acc_0: 0.5714 loss_cls_0: 2.7324 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.8818 2023/02/01 03:27:20 - mmengine - INFO - Saving checkpoint at 68 epochs 2023/02/01 03:27:30 - mmengine - INFO - Epoch(val) [68][ 20/155] eta: 0:01:01 time: 0.4568 data_time: 0.3443 memory: 1906 2023/02/01 03:27:39 - mmengine - INFO - Epoch(val) [68][ 40/155] eta: 0:00:51 time: 0.4438 data_time: 0.3321 memory: 1906 2023/02/01 03:27:47 - mmengine - INFO - Epoch(val) [68][ 60/155] eta: 0:00:42 time: 0.4277 data_time: 0.3156 memory: 1906 2023/02/01 03:27:57 - mmengine - INFO - Epoch(val) [68][ 80/155] eta: 0:00:33 time: 0.4589 data_time: 0.3475 memory: 1906 2023/02/01 03:28:05 - mmengine - INFO - Epoch(val) [68][100/155] eta: 0:00:24 time: 0.4469 data_time: 0.3359 memory: 1906 2023/02/01 03:28:15 - mmengine - INFO - Epoch(val) [68][120/155] eta: 0:00:15 time: 0.4525 data_time: 0.3406 memory: 1906 2023/02/01 03:28:23 - mmengine - INFO - Epoch(val) [68][140/155] eta: 0:00:06 time: 0.4321 data_time: 0.3213 memory: 1906 2023/02/01 03:28:31 - mmengine - INFO - Epoch(val) [68][155/155] acc/top1: 0.4219 acc/top5: 0.6846 acc/mean1: 0.4220 2023/02/01 03:28:45 - mmengine - INFO - Epoch(train) [69][ 20/1879] lr: 9.4320e-02 eta: 2 days, 2:00:25 time: 0.7180 data_time: 0.2471 memory: 18108 grad_norm: 2.9600 loss: 4.6392 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7628 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.8765 2023/02/01 03:28:55 - mmengine - INFO - Epoch(train) [69][ 40/1879] lr: 9.4316e-02 eta: 2 days, 2:00:12 time: 0.4706 data_time: 0.0335 memory: 18108 grad_norm: 2.9444 loss: 4.5290 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6555 top1_acc_1: 0.4471 top5_acc_1: 0.7765 loss_cls_1: 1.8735 2023/02/01 03:29:04 - mmengine - INFO - Epoch(train) [69][ 60/1879] lr: 9.4313e-02 eta: 2 days, 2:00:01 time: 0.4806 data_time: 0.0338 memory: 18108 grad_norm: 3.0273 loss: 4.6737 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.7767 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8970 2023/02/01 03:29:15 - mmengine - INFO - Epoch(train) [69][ 80/1879] lr: 9.4310e-02 eta: 2 days, 1:59:51 time: 0.5242 data_time: 0.0328 memory: 18108 grad_norm: 2.9781 loss: 4.7973 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.9102 top1_acc_1: 0.4706 top5_acc_1: 0.6941 loss_cls_1: 1.8871 2023/02/01 03:29:24 - mmengine - INFO - Epoch(train) [69][ 100/1879] lr: 9.4306e-02 eta: 2 days, 1:59:39 time: 0.4802 data_time: 0.0362 memory: 18108 grad_norm: 2.9568 loss: 4.6474 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.7980 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 1.8494 2023/02/01 03:29:34 - mmengine - INFO - Epoch(train) [69][ 120/1879] lr: 9.4303e-02 eta: 2 days, 1:59:27 time: 0.4772 data_time: 0.0324 memory: 18108 grad_norm: 3.0134 loss: 4.5738 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6477 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.9260 2023/02/01 03:29:44 - mmengine - INFO - Epoch(train) [69][ 140/1879] lr: 9.4299e-02 eta: 2 days, 1:59:16 time: 0.4865 data_time: 0.0342 memory: 18108 grad_norm: 3.0313 loss: 4.5086 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6318 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8768 2023/02/01 03:29:54 - mmengine - INFO - Epoch(train) [69][ 160/1879] lr: 9.4296e-02 eta: 2 days, 1:59:06 time: 0.5209 data_time: 0.0411 memory: 18108 grad_norm: 2.9603 loss: 4.4265 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5110 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.9155 2023/02/01 03:30:04 - mmengine - INFO - Epoch(train) [69][ 180/1879] lr: 9.4292e-02 eta: 2 days, 1:58:55 time: 0.4871 data_time: 0.0342 memory: 18108 grad_norm: 2.9937 loss: 4.6118 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7191 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.8927 2023/02/01 03:30:13 - mmengine - INFO - Epoch(train) [69][ 200/1879] lr: 9.4289e-02 eta: 2 days, 1:58:43 time: 0.4812 data_time: 0.0352 memory: 18108 grad_norm: 2.9746 loss: 4.6396 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7156 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9239 2023/02/01 03:30:24 - mmengine - INFO - Epoch(train) [69][ 220/1879] lr: 9.4285e-02 eta: 2 days, 1:58:33 time: 0.5082 data_time: 0.0410 memory: 18108 grad_norm: 2.9418 loss: 4.6359 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6731 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.9628 2023/02/01 03:30:28 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 03:30:34 - mmengine - INFO - Epoch(train) [69][ 240/1879] lr: 9.4282e-02 eta: 2 days, 1:58:22 time: 0.4958 data_time: 0.0344 memory: 18108 grad_norm: 2.9848 loss: 4.5393 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7191 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8201 2023/02/01 03:30:44 - mmengine - INFO - Epoch(train) [69][ 260/1879] lr: 9.4278e-02 eta: 2 days, 1:58:11 time: 0.4969 data_time: 0.0321 memory: 18108 grad_norm: 2.9594 loss: 4.1785 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3682 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.8103 2023/02/01 03:30:53 - mmengine - INFO - Epoch(train) [69][ 280/1879] lr: 9.4275e-02 eta: 2 days, 1:58:00 time: 0.4984 data_time: 0.0361 memory: 18108 grad_norm: 2.9599 loss: 4.6191 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6811 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.9380 2023/02/01 03:31:04 - mmengine - INFO - Epoch(train) [69][ 300/1879] lr: 9.4271e-02 eta: 2 days, 1:57:51 time: 0.5227 data_time: 0.0404 memory: 18108 grad_norm: 2.9944 loss: 4.6242 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7205 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 1.9036 2023/02/01 03:31:14 - mmengine - INFO - Epoch(train) [69][ 320/1879] lr: 9.4268e-02 eta: 2 days, 1:57:40 time: 0.4955 data_time: 0.0350 memory: 18108 grad_norm: 2.9994 loss: 4.3821 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5038 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.8782 2023/02/01 03:31:24 - mmengine - INFO - Epoch(train) [69][ 340/1879] lr: 9.4264e-02 eta: 2 days, 1:57:29 time: 0.4974 data_time: 0.0325 memory: 18108 grad_norm: 3.0281 loss: 4.7001 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.8182 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8820 2023/02/01 03:31:34 - mmengine - INFO - Epoch(train) [69][ 360/1879] lr: 9.4261e-02 eta: 2 days, 1:57:19 time: 0.5141 data_time: 0.0398 memory: 18108 grad_norm: 3.0021 loss: 4.6954 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.8279 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 1.8675 2023/02/01 03:31:44 - mmengine - INFO - Epoch(train) [69][ 380/1879] lr: 9.4257e-02 eta: 2 days, 1:57:08 time: 0.4993 data_time: 0.0313 memory: 18108 grad_norm: 2.9993 loss: 4.4334 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.5860 top1_acc_1: 0.5059 top5_acc_1: 0.8353 loss_cls_1: 1.8475 2023/02/01 03:31:54 - mmengine - INFO - Epoch(train) [69][ 400/1879] lr: 9.4254e-02 eta: 2 days, 1:56:57 time: 0.4990 data_time: 0.0331 memory: 18108 grad_norm: 2.9568 loss: 4.3718 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5301 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8417 2023/02/01 03:32:04 - mmengine - INFO - Epoch(train) [69][ 420/1879] lr: 9.4250e-02 eta: 2 days, 1:56:48 time: 0.5139 data_time: 0.0307 memory: 18108 grad_norm: 3.0640 loss: 4.3116 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.4087 top1_acc_1: 0.4235 top5_acc_1: 0.6824 loss_cls_1: 1.9030 2023/02/01 03:32:14 - mmengine - INFO - Epoch(train) [69][ 440/1879] lr: 9.4247e-02 eta: 2 days, 1:56:37 time: 0.4971 data_time: 0.0415 memory: 18108 grad_norm: 2.9617 loss: 4.7984 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7911 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 2.0074 2023/02/01 03:32:24 - mmengine - INFO - Epoch(train) [69][ 460/1879] lr: 9.4243e-02 eta: 2 days, 1:56:26 time: 0.4991 data_time: 0.0332 memory: 18108 grad_norm: 2.9854 loss: 4.5592 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 2.7114 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.8478 2023/02/01 03:32:34 - mmengine - INFO - Epoch(train) [69][ 480/1879] lr: 9.4240e-02 eta: 2 days, 1:56:15 time: 0.5011 data_time: 0.0361 memory: 18108 grad_norm: 3.0385 loss: 4.8561 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9516 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.9046 2023/02/01 03:32:45 - mmengine - INFO - Epoch(train) [69][ 500/1879] lr: 9.4236e-02 eta: 2 days, 1:56:05 time: 0.5080 data_time: 0.0401 memory: 18108 grad_norm: 3.0527 loss: 4.4787 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.4996 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 1.9792 2023/02/01 03:32:54 - mmengine - INFO - Epoch(train) [69][ 520/1879] lr: 9.4232e-02 eta: 2 days, 1:55:54 time: 0.4926 data_time: 0.0341 memory: 18108 grad_norm: 2.9745 loss: 4.8641 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8442 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 2.0199 2023/02/01 03:33:05 - mmengine - INFO - Epoch(train) [69][ 540/1879] lr: 9.4229e-02 eta: 2 days, 1:55:43 time: 0.5051 data_time: 0.0323 memory: 18108 grad_norm: 2.9905 loss: 4.5031 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6218 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.8812 2023/02/01 03:33:14 - mmengine - INFO - Epoch(train) [69][ 560/1879] lr: 9.4225e-02 eta: 2 days, 1:55:33 time: 0.4981 data_time: 0.0349 memory: 18108 grad_norm: 2.9815 loss: 4.3884 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.4208 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.9675 2023/02/01 03:33:25 - mmengine - INFO - Epoch(train) [69][ 580/1879] lr: 9.4222e-02 eta: 2 days, 1:55:23 time: 0.5133 data_time: 0.0373 memory: 18108 grad_norm: 2.9508 loss: 4.5495 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.5836 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9659 2023/02/01 03:33:35 - mmengine - INFO - Epoch(train) [69][ 600/1879] lr: 9.4218e-02 eta: 2 days, 1:55:11 time: 0.4900 data_time: 0.0346 memory: 18108 grad_norm: 2.9044 loss: 4.6710 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7334 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9376 2023/02/01 03:33:44 - mmengine - INFO - Epoch(train) [69][ 620/1879] lr: 9.4215e-02 eta: 2 days, 1:55:00 time: 0.4942 data_time: 0.0321 memory: 18108 grad_norm: 2.9702 loss: 4.6753 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.7540 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.9212 2023/02/01 03:33:55 - mmengine - INFO - Epoch(train) [69][ 640/1879] lr: 9.4211e-02 eta: 2 days, 1:54:50 time: 0.5020 data_time: 0.0418 memory: 18108 grad_norm: 2.9419 loss: 4.6722 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7405 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9316 2023/02/01 03:34:04 - mmengine - INFO - Epoch(train) [69][ 660/1879] lr: 9.4208e-02 eta: 2 days, 1:54:39 time: 0.4942 data_time: 0.0337 memory: 18108 grad_norm: 3.0106 loss: 4.4584 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5066 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.9517 2023/02/01 03:34:14 - mmengine - INFO - Epoch(train) [69][ 680/1879] lr: 9.4204e-02 eta: 2 days, 1:54:27 time: 0.4891 data_time: 0.0341 memory: 18108 grad_norm: 2.9907 loss: 4.7262 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8525 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.8736 2023/02/01 03:34:24 - mmengine - INFO - Epoch(train) [69][ 700/1879] lr: 9.4201e-02 eta: 2 days, 1:54:16 time: 0.4908 data_time: 0.0328 memory: 18108 grad_norm: 2.9861 loss: 4.6013 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6564 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.9449 2023/02/01 03:34:34 - mmengine - INFO - Epoch(train) [69][ 720/1879] lr: 9.4197e-02 eta: 2 days, 1:54:05 time: 0.4905 data_time: 0.0409 memory: 18108 grad_norm: 2.9889 loss: 4.3943 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4039 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9904 2023/02/01 03:34:44 - mmengine - INFO - Epoch(train) [69][ 740/1879] lr: 9.4194e-02 eta: 2 days, 1:53:54 time: 0.5058 data_time: 0.0338 memory: 18108 grad_norm: 3.0147 loss: 4.4960 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6312 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.8648 2023/02/01 03:34:54 - mmengine - INFO - Epoch(train) [69][ 760/1879] lr: 9.4190e-02 eta: 2 days, 1:53:43 time: 0.4837 data_time: 0.0358 memory: 18108 grad_norm: 2.9876 loss: 4.7370 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.8581 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.8789 2023/02/01 03:35:04 - mmengine - INFO - Epoch(train) [69][ 780/1879] lr: 9.4187e-02 eta: 2 days, 1:53:32 time: 0.4986 data_time: 0.0356 memory: 18108 grad_norm: 2.9541 loss: 4.4526 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5683 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.8843 2023/02/01 03:35:13 - mmengine - INFO - Epoch(train) [69][ 800/1879] lr: 9.4183e-02 eta: 2 days, 1:53:21 time: 0.4874 data_time: 0.0364 memory: 18108 grad_norm: 3.0006 loss: 4.6057 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6588 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9469 2023/02/01 03:35:23 - mmengine - INFO - Epoch(train) [69][ 820/1879] lr: 9.4180e-02 eta: 2 days, 1:53:10 time: 0.5020 data_time: 0.0353 memory: 18108 grad_norm: 2.9647 loss: 4.5916 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.6961 top1_acc_1: 0.4706 top5_acc_1: 0.8471 loss_cls_1: 1.8955 2023/02/01 03:35:33 - mmengine - INFO - Epoch(train) [69][ 840/1879] lr: 9.4176e-02 eta: 2 days, 1:52:58 time: 0.4832 data_time: 0.0325 memory: 18108 grad_norm: 3.0120 loss: 4.6436 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7044 top1_acc_1: 0.6235 top5_acc_1: 0.7529 loss_cls_1: 1.9392 2023/02/01 03:35:43 - mmengine - INFO - Epoch(train) [69][ 860/1879] lr: 9.4173e-02 eta: 2 days, 1:52:47 time: 0.4898 data_time: 0.0338 memory: 18108 grad_norm: 3.0401 loss: 4.6883 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7007 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.9877 2023/02/01 03:35:53 - mmengine - INFO - Epoch(train) [69][ 880/1879] lr: 9.4169e-02 eta: 2 days, 1:52:36 time: 0.4944 data_time: 0.0342 memory: 18108 grad_norm: 3.0456 loss: 4.4758 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5380 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9378 2023/02/01 03:36:03 - mmengine - INFO - Epoch(train) [69][ 900/1879] lr: 9.4166e-02 eta: 2 days, 1:52:25 time: 0.4855 data_time: 0.0336 memory: 18108 grad_norm: 3.0154 loss: 4.6086 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6197 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.9889 2023/02/01 03:36:12 - mmengine - INFO - Epoch(train) [69][ 920/1879] lr: 9.4162e-02 eta: 2 days, 1:52:13 time: 0.4895 data_time: 0.0403 memory: 18108 grad_norm: 3.0289 loss: 4.5574 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5429 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 2.0145 2023/02/01 03:36:23 - mmengine - INFO - Epoch(train) [69][ 940/1879] lr: 9.4159e-02 eta: 2 days, 1:52:03 time: 0.5168 data_time: 0.0338 memory: 18108 grad_norm: 3.0295 loss: 4.6255 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6943 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.9312 2023/02/01 03:36:32 - mmengine - INFO - Epoch(train) [69][ 960/1879] lr: 9.4155e-02 eta: 2 days, 1:51:52 time: 0.4885 data_time: 0.0335 memory: 18108 grad_norm: 2.9845 loss: 4.4523 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5369 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.9154 2023/02/01 03:36:42 - mmengine - INFO - Epoch(train) [69][ 980/1879] lr: 9.4151e-02 eta: 2 days, 1:51:41 time: 0.4950 data_time: 0.0395 memory: 18108 grad_norm: 3.0024 loss: 4.7831 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8296 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.9535 2023/02/01 03:36:52 - mmengine - INFO - Epoch(train) [69][1000/1879] lr: 9.4148e-02 eta: 2 days, 1:51:30 time: 0.5015 data_time: 0.0368 memory: 18108 grad_norm: 3.0273 loss: 4.8532 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.9358 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.9174 2023/02/01 03:37:03 - mmengine - INFO - Epoch(train) [69][1020/1879] lr: 9.4144e-02 eta: 2 days, 1:51:21 time: 0.5146 data_time: 0.0324 memory: 18108 grad_norm: 2.9728 loss: 4.3812 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4823 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8989 2023/02/01 03:37:12 - mmengine - INFO - Epoch(train) [69][1040/1879] lr: 9.4141e-02 eta: 2 days, 1:51:09 time: 0.4865 data_time: 0.0357 memory: 18108 grad_norm: 3.0342 loss: 4.3749 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.4513 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.9236 2023/02/01 03:37:22 - mmengine - INFO - Epoch(train) [69][1060/1879] lr: 9.4137e-02 eta: 2 days, 1:50:58 time: 0.4941 data_time: 0.0317 memory: 18108 grad_norm: 3.0010 loss: 4.5948 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7017 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8931 2023/02/01 03:37:32 - mmengine - INFO - Epoch(train) [69][1080/1879] lr: 9.4134e-02 eta: 2 days, 1:50:47 time: 0.5018 data_time: 0.0350 memory: 18108 grad_norm: 2.9918 loss: 4.8185 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.9375 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8810 2023/02/01 03:37:42 - mmengine - INFO - Epoch(train) [69][1100/1879] lr: 9.4130e-02 eta: 2 days, 1:50:36 time: 0.4825 data_time: 0.0311 memory: 18108 grad_norm: 3.0381 loss: 4.5297 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5387 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.9911 2023/02/01 03:37:52 - mmengine - INFO - Epoch(train) [69][1120/1879] lr: 9.4127e-02 eta: 2 days, 1:50:25 time: 0.4997 data_time: 0.0411 memory: 18108 grad_norm: 3.0145 loss: 4.7589 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7830 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 1.9760 2023/02/01 03:38:02 - mmengine - INFO - Epoch(train) [69][1140/1879] lr: 9.4123e-02 eta: 2 days, 1:50:15 time: 0.5054 data_time: 0.0347 memory: 18108 grad_norm: 3.0222 loss: 4.5619 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6140 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9479 2023/02/01 03:38:12 - mmengine - INFO - Epoch(train) [69][1160/1879] lr: 9.4120e-02 eta: 2 days, 1:50:04 time: 0.5054 data_time: 0.0344 memory: 18108 grad_norm: 3.0009 loss: 4.5850 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6816 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.9034 2023/02/01 03:38:22 - mmengine - INFO - Epoch(train) [69][1180/1879] lr: 9.4116e-02 eta: 2 days, 1:49:53 time: 0.4922 data_time: 0.0316 memory: 18108 grad_norm: 2.9740 loss: 4.7330 top1_acc_0: 0.1875 top5_acc_0: 0.7500 loss_cls_0: 2.7013 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 2.0317 2023/02/01 03:38:32 - mmengine - INFO - Epoch(train) [69][1200/1879] lr: 9.4113e-02 eta: 2 days, 1:49:42 time: 0.4993 data_time: 0.0340 memory: 18108 grad_norm: 2.9794 loss: 4.3865 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5254 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8611 2023/02/01 03:38:42 - mmengine - INFO - Epoch(train) [69][1220/1879] lr: 9.4109e-02 eta: 2 days, 1:49:32 time: 0.5060 data_time: 0.0310 memory: 18108 grad_norm: 2.9649 loss: 4.6428 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6355 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 2.0073 2023/02/01 03:38:46 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 03:38:52 - mmengine - INFO - Epoch(train) [69][1240/1879] lr: 9.4105e-02 eta: 2 days, 1:49:21 time: 0.4947 data_time: 0.0380 memory: 18108 grad_norm: 2.9763 loss: 4.7370 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7544 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9826 2023/02/01 03:39:02 - mmengine - INFO - Epoch(train) [69][1260/1879] lr: 9.4102e-02 eta: 2 days, 1:49:11 time: 0.5049 data_time: 0.0325 memory: 18108 grad_norm: 2.9975 loss: 4.5674 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.7063 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.8611 2023/02/01 03:39:12 - mmengine - INFO - Epoch(train) [69][1280/1879] lr: 9.4098e-02 eta: 2 days, 1:49:00 time: 0.4971 data_time: 0.0342 memory: 18108 grad_norm: 2.9978 loss: 4.5182 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6170 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 1.9012 2023/02/01 03:39:22 - mmengine - INFO - Epoch(train) [69][1300/1879] lr: 9.4095e-02 eta: 2 days, 1:48:49 time: 0.5063 data_time: 0.0321 memory: 18108 grad_norm: 3.0412 loss: 4.5747 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6520 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.9228 2023/02/01 03:39:32 - mmengine - INFO - Epoch(train) [69][1320/1879] lr: 9.4091e-02 eta: 2 days, 1:48:39 time: 0.5038 data_time: 0.0411 memory: 18108 grad_norm: 2.9861 loss: 4.5119 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6087 top1_acc_1: 0.4706 top5_acc_1: 0.7882 loss_cls_1: 1.9031 2023/02/01 03:39:43 - mmengine - INFO - Epoch(train) [69][1340/1879] lr: 9.4088e-02 eta: 2 days, 1:48:28 time: 0.5056 data_time: 0.0320 memory: 18108 grad_norm: 2.9837 loss: 4.6541 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6226 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 2.0315 2023/02/01 03:39:52 - mmengine - INFO - Epoch(train) [69][1360/1879] lr: 9.4084e-02 eta: 2 days, 1:48:17 time: 0.4963 data_time: 0.0356 memory: 18108 grad_norm: 3.0151 loss: 4.5250 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5828 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9421 2023/02/01 03:40:03 - mmengine - INFO - Epoch(train) [69][1380/1879] lr: 9.4081e-02 eta: 2 days, 1:48:07 time: 0.5051 data_time: 0.0377 memory: 18108 grad_norm: 2.9459 loss: 4.5485 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6301 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9185 2023/02/01 03:40:13 - mmengine - INFO - Epoch(train) [69][1400/1879] lr: 9.4077e-02 eta: 2 days, 1:47:56 time: 0.5019 data_time: 0.0350 memory: 18108 grad_norm: 2.9545 loss: 4.6778 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6425 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 2.0353 2023/02/01 03:40:23 - mmengine - INFO - Epoch(train) [69][1420/1879] lr: 9.4073e-02 eta: 2 days, 1:47:46 time: 0.5033 data_time: 0.0321 memory: 18108 grad_norm: 2.9756 loss: 4.6362 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6599 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.9763 2023/02/01 03:40:33 - mmengine - INFO - Epoch(train) [69][1440/1879] lr: 9.4070e-02 eta: 2 days, 1:47:35 time: 0.4933 data_time: 0.0339 memory: 18108 grad_norm: 2.9674 loss: 4.8093 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8778 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.9315 2023/02/01 03:40:43 - mmengine - INFO - Epoch(train) [69][1460/1879] lr: 9.4066e-02 eta: 2 days, 1:47:24 time: 0.5038 data_time: 0.0388 memory: 18108 grad_norm: 2.9668 loss: 4.5120 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6199 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.8921 2023/02/01 03:40:53 - mmengine - INFO - Epoch(train) [69][1480/1879] lr: 9.4063e-02 eta: 2 days, 1:47:14 time: 0.5045 data_time: 0.0366 memory: 18108 grad_norm: 2.9927 loss: 4.6953 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7408 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.9545 2023/02/01 03:41:03 - mmengine - INFO - Epoch(train) [69][1500/1879] lr: 9.4059e-02 eta: 2 days, 1:47:03 time: 0.5044 data_time: 0.0326 memory: 18108 grad_norm: 2.9755 loss: 4.6385 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7339 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.9046 2023/02/01 03:41:13 - mmengine - INFO - Epoch(train) [69][1520/1879] lr: 9.4056e-02 eta: 2 days, 1:46:53 time: 0.5039 data_time: 0.0417 memory: 18108 grad_norm: 2.9558 loss: 4.5593 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6320 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.9273 2023/02/01 03:41:23 - mmengine - INFO - Epoch(train) [69][1540/1879] lr: 9.4052e-02 eta: 2 days, 1:46:43 time: 0.5061 data_time: 0.0330 memory: 18108 grad_norm: 2.9253 loss: 4.7359 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.8033 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.9326 2023/02/01 03:41:33 - mmengine - INFO - Epoch(train) [69][1560/1879] lr: 9.4049e-02 eta: 2 days, 1:46:32 time: 0.5015 data_time: 0.0352 memory: 18108 grad_norm: 2.9917 loss: 4.7051 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.7331 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.9720 2023/02/01 03:41:43 - mmengine - INFO - Epoch(train) [69][1580/1879] lr: 9.4045e-02 eta: 2 days, 1:46:21 time: 0.5016 data_time: 0.0389 memory: 18108 grad_norm: 3.0123 loss: 4.6556 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7607 top1_acc_1: 0.4588 top5_acc_1: 0.8471 loss_cls_1: 1.8949 2023/02/01 03:41:53 - mmengine - INFO - Epoch(train) [69][1600/1879] lr: 9.4041e-02 eta: 2 days, 1:46:11 time: 0.5127 data_time: 0.0341 memory: 18108 grad_norm: 2.9927 loss: 4.5666 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6292 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.9375 2023/02/01 03:42:03 - mmengine - INFO - Epoch(train) [69][1620/1879] lr: 9.4038e-02 eta: 2 days, 1:46:00 time: 0.4988 data_time: 0.0310 memory: 18108 grad_norm: 2.9020 loss: 4.6282 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5882 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 2.0400 2023/02/01 03:42:13 - mmengine - INFO - Epoch(train) [69][1640/1879] lr: 9.4034e-02 eta: 2 days, 1:45:49 time: 0.4915 data_time: 0.0335 memory: 18108 grad_norm: 3.0095 loss: 4.5090 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5667 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9423 2023/02/01 03:42:24 - mmengine - INFO - Epoch(train) [69][1660/1879] lr: 9.4031e-02 eta: 2 days, 1:45:40 time: 0.5332 data_time: 0.0385 memory: 18108 grad_norm: 3.0204 loss: 4.7548 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7487 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 2.0061 2023/02/01 03:42:34 - mmengine - INFO - Epoch(train) [69][1680/1879] lr: 9.4027e-02 eta: 2 days, 1:45:30 time: 0.5138 data_time: 0.0324 memory: 18108 grad_norm: 3.0110 loss: 4.5960 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6255 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9705 2023/02/01 03:42:44 - mmengine - INFO - Epoch(train) [69][1700/1879] lr: 9.4024e-02 eta: 2 days, 1:45:20 time: 0.5020 data_time: 0.0317 memory: 18108 grad_norm: 2.9135 loss: 4.5131 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7227 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7905 2023/02/01 03:42:55 - mmengine - INFO - Epoch(train) [69][1720/1879] lr: 9.4020e-02 eta: 2 days, 1:45:10 time: 0.5197 data_time: 0.0444 memory: 18108 grad_norm: 2.9388 loss: 4.6461 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6874 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.9587 2023/02/01 03:43:05 - mmengine - INFO - Epoch(train) [69][1740/1879] lr: 9.4016e-02 eta: 2 days, 1:45:01 time: 0.5319 data_time: 0.0321 memory: 18108 grad_norm: 3.0052 loss: 4.6715 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6107 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 2.0607 2023/02/01 03:43:15 - mmengine - INFO - Epoch(train) [69][1760/1879] lr: 9.4013e-02 eta: 2 days, 1:44:51 time: 0.5052 data_time: 0.0335 memory: 18108 grad_norm: 2.9479 loss: 4.5795 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.6873 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.8921 2023/02/01 03:43:26 - mmengine - INFO - Epoch(train) [69][1780/1879] lr: 9.4009e-02 eta: 2 days, 1:44:40 time: 0.5059 data_time: 0.0398 memory: 18108 grad_norm: 2.9850 loss: 4.3631 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.4884 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.8747 2023/02/01 03:43:36 - mmengine - INFO - Epoch(train) [69][1800/1879] lr: 9.4006e-02 eta: 2 days, 1:44:30 time: 0.5027 data_time: 0.0348 memory: 18108 grad_norm: 3.0454 loss: 4.5935 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7070 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.8865 2023/02/01 03:43:46 - mmengine - INFO - Epoch(train) [69][1820/1879] lr: 9.4002e-02 eta: 2 days, 1:44:20 time: 0.5069 data_time: 0.0328 memory: 18108 grad_norm: 3.0196 loss: 4.6007 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6377 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.9629 2023/02/01 03:43:56 - mmengine - INFO - Epoch(train) [69][1840/1879] lr: 9.3999e-02 eta: 2 days, 1:44:09 time: 0.4954 data_time: 0.0347 memory: 18108 grad_norm: 2.9649 loss: 4.6879 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8432 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8447 2023/02/01 03:44:06 - mmengine - INFO - Epoch(train) [69][1860/1879] lr: 9.3995e-02 eta: 2 days, 1:43:59 time: 0.5150 data_time: 0.0389 memory: 18108 grad_norm: 2.9611 loss: 4.6847 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7757 top1_acc_1: 0.6588 top5_acc_1: 0.7765 loss_cls_1: 1.9089 2023/02/01 03:44:15 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 03:44:15 - mmengine - INFO - Epoch(train) [69][1879/1879] lr: 9.3992e-02 eta: 2 days, 1:43:48 time: 0.4806 data_time: 0.0317 memory: 18108 grad_norm: 3.0701 loss: 4.5875 top1_acc_0: 0.1429 top5_acc_0: 0.4286 loss_cls_0: 2.6622 top1_acc_1: 0.4824 top5_acc_1: 0.8000 loss_cls_1: 1.9253 2023/02/01 03:44:30 - mmengine - INFO - Epoch(train) [70][ 20/1879] lr: 9.3988e-02 eta: 2 days, 1:43:48 time: 0.7017 data_time: 0.2500 memory: 18108 grad_norm: 2.9338 loss: 4.5376 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5472 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.9905 2023/02/01 03:44:40 - mmengine - INFO - Epoch(train) [70][ 40/1879] lr: 9.3984e-02 eta: 2 days, 1:43:36 time: 0.4751 data_time: 0.0314 memory: 18108 grad_norm: 2.9484 loss: 4.5840 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7122 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8718 2023/02/01 03:44:49 - mmengine - INFO - Epoch(train) [70][ 60/1879] lr: 9.3981e-02 eta: 2 days, 1:43:24 time: 0.4837 data_time: 0.0345 memory: 18108 grad_norm: 2.9762 loss: 4.5676 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7485 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8191 2023/02/01 03:45:00 - mmengine - INFO - Epoch(train) [70][ 80/1879] lr: 9.3977e-02 eta: 2 days, 1:43:15 time: 0.5250 data_time: 0.0414 memory: 18108 grad_norm: 2.9644 loss: 4.5033 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7627 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.7406 2023/02/01 03:45:09 - mmengine - INFO - Epoch(train) [70][ 100/1879] lr: 9.3974e-02 eta: 2 days, 1:43:03 time: 0.4826 data_time: 0.0342 memory: 18108 grad_norm: 3.0338 loss: 4.6790 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7897 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.8893 2023/02/01 03:45:19 - mmengine - INFO - Epoch(train) [70][ 120/1879] lr: 9.3970e-02 eta: 2 days, 1:42:51 time: 0.4751 data_time: 0.0325 memory: 18108 grad_norm: 2.9795 loss: 4.5547 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6116 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.9431 2023/02/01 03:45:29 - mmengine - INFO - Epoch(train) [70][ 140/1879] lr: 9.3966e-02 eta: 2 days, 1:42:40 time: 0.4932 data_time: 0.0408 memory: 18108 grad_norm: 2.9681 loss: 4.5714 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6720 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.8995 2023/02/01 03:45:39 - mmengine - INFO - Epoch(train) [70][ 160/1879] lr: 9.3963e-02 eta: 2 days, 1:42:29 time: 0.4951 data_time: 0.0329 memory: 18108 grad_norm: 2.9530 loss: 4.4957 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6834 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 1.8124 2023/02/01 03:45:48 - mmengine - INFO - Epoch(train) [70][ 180/1879] lr: 9.3959e-02 eta: 2 days, 1:42:18 time: 0.4875 data_time: 0.0354 memory: 18108 grad_norm: 3.0138 loss: 4.4492 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5824 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.8668 2023/02/01 03:45:58 - mmengine - INFO - Epoch(train) [70][ 200/1879] lr: 9.3956e-02 eta: 2 days, 1:42:06 time: 0.4762 data_time: 0.0340 memory: 18108 grad_norm: 2.9616 loss: 4.5178 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.6723 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8454 2023/02/01 03:46:08 - mmengine - INFO - Epoch(train) [70][ 220/1879] lr: 9.3952e-02 eta: 2 days, 1:41:55 time: 0.5032 data_time: 0.0425 memory: 18108 grad_norm: 2.9707 loss: 4.5108 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6886 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.8222 2023/02/01 03:46:18 - mmengine - INFO - Epoch(train) [70][ 240/1879] lr: 9.3949e-02 eta: 2 days, 1:41:44 time: 0.4854 data_time: 0.0318 memory: 18108 grad_norm: 2.9622 loss: 4.6172 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8179 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7993 2023/02/01 03:46:27 - mmengine - INFO - Epoch(train) [70][ 260/1879] lr: 9.3945e-02 eta: 2 days, 1:41:32 time: 0.4808 data_time: 0.0355 memory: 18108 grad_norm: 3.0413 loss: 4.4509 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5685 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8824 2023/02/01 03:46:37 - mmengine - INFO - Epoch(train) [70][ 280/1879] lr: 9.3941e-02 eta: 2 days, 1:41:21 time: 0.4879 data_time: 0.0391 memory: 18108 grad_norm: 3.0131 loss: 4.4802 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6082 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.8721 2023/02/01 03:46:47 - mmengine - INFO - Epoch(train) [70][ 300/1879] lr: 9.3938e-02 eta: 2 days, 1:41:10 time: 0.5050 data_time: 0.0341 memory: 18108 grad_norm: 3.0071 loss: 4.4773 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5697 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 1.9077 2023/02/01 03:46:57 - mmengine - INFO - Epoch(train) [70][ 320/1879] lr: 9.3934e-02 eta: 2 days, 1:40:58 time: 0.4787 data_time: 0.0322 memory: 18108 grad_norm: 3.1462 loss: 4.4852 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.5788 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.9064 2023/02/01 03:47:07 - mmengine - INFO - Epoch(train) [70][ 340/1879] lr: 9.3931e-02 eta: 2 days, 1:40:47 time: 0.4829 data_time: 0.0379 memory: 18108 grad_norm: 3.0917 loss: 4.8339 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8785 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.9554 2023/02/01 03:47:11 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 03:47:16 - mmengine - INFO - Epoch(train) [70][ 360/1879] lr: 9.3927e-02 eta: 2 days, 1:40:36 time: 0.4909 data_time: 0.0371 memory: 18108 grad_norm: 2.9968 loss: 4.5742 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5315 top1_acc_1: 0.5059 top5_acc_1: 0.6588 loss_cls_1: 2.0426 2023/02/01 03:47:26 - mmengine - INFO - Epoch(train) [70][ 380/1879] lr: 9.3923e-02 eta: 2 days, 1:40:24 time: 0.4914 data_time: 0.0368 memory: 18108 grad_norm: 2.9810 loss: 4.3377 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3988 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9390 2023/02/01 03:47:36 - mmengine - INFO - Epoch(train) [70][ 400/1879] lr: 9.3920e-02 eta: 2 days, 1:40:12 time: 0.4718 data_time: 0.0322 memory: 18108 grad_norm: 3.0358 loss: 4.5556 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6323 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.9233 2023/02/01 03:47:46 - mmengine - INFO - Epoch(train) [70][ 420/1879] lr: 9.3916e-02 eta: 2 days, 1:40:01 time: 0.4964 data_time: 0.0446 memory: 18108 grad_norm: 2.9505 loss: 4.6815 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7069 top1_acc_1: 0.5059 top5_acc_1: 0.7059 loss_cls_1: 1.9746 2023/02/01 03:47:55 - mmengine - INFO - Epoch(train) [70][ 440/1879] lr: 9.3913e-02 eta: 2 days, 1:39:49 time: 0.4795 data_time: 0.0316 memory: 18108 grad_norm: 2.9985 loss: 4.4921 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5660 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9260 2023/02/01 03:48:05 - mmengine - INFO - Epoch(train) [70][ 460/1879] lr: 9.3909e-02 eta: 2 days, 1:39:38 time: 0.4909 data_time: 0.0365 memory: 18108 grad_norm: 2.9466 loss: 4.3847 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5436 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.8411 2023/02/01 03:48:14 - mmengine - INFO - Epoch(train) [70][ 480/1879] lr: 9.3905e-02 eta: 2 days, 1:39:26 time: 0.4688 data_time: 0.0312 memory: 18108 grad_norm: 2.9653 loss: 4.5391 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7151 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.8240 2023/02/01 03:48:24 - mmengine - INFO - Epoch(train) [70][ 500/1879] lr: 9.3902e-02 eta: 2 days, 1:39:15 time: 0.5009 data_time: 0.0412 memory: 18108 grad_norm: 3.0324 loss: 4.8156 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7781 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 2.0375 2023/02/01 03:48:34 - mmengine - INFO - Epoch(train) [70][ 520/1879] lr: 9.3898e-02 eta: 2 days, 1:39:04 time: 0.4827 data_time: 0.0305 memory: 18108 grad_norm: 2.9969 loss: 4.5199 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5695 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.9503 2023/02/01 03:48:44 - mmengine - INFO - Epoch(train) [70][ 540/1879] lr: 9.3895e-02 eta: 2 days, 1:38:52 time: 0.4869 data_time: 0.0379 memory: 18108 grad_norm: 2.9393 loss: 4.4019 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4082 top1_acc_1: 0.4588 top5_acc_1: 0.7294 loss_cls_1: 1.9937 2023/02/01 03:48:54 - mmengine - INFO - Epoch(train) [70][ 560/1879] lr: 9.3891e-02 eta: 2 days, 1:38:41 time: 0.4819 data_time: 0.0307 memory: 18108 grad_norm: 2.9354 loss: 4.4749 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.5737 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.9012 2023/02/01 03:49:03 - mmengine - INFO - Epoch(train) [70][ 580/1879] lr: 9.3887e-02 eta: 2 days, 1:38:29 time: 0.4937 data_time: 0.0440 memory: 18108 grad_norm: 2.9422 loss: 4.6369 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7672 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.8697 2023/02/01 03:49:13 - mmengine - INFO - Epoch(train) [70][ 600/1879] lr: 9.3884e-02 eta: 2 days, 1:38:18 time: 0.4823 data_time: 0.0314 memory: 18108 grad_norm: 2.9943 loss: 4.5842 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6932 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8910 2023/02/01 03:49:23 - mmengine - INFO - Epoch(train) [70][ 620/1879] lr: 9.3880e-02 eta: 2 days, 1:38:07 time: 0.4908 data_time: 0.0377 memory: 18108 grad_norm: 3.1068 loss: 4.5594 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6508 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9087 2023/02/01 03:49:32 - mmengine - INFO - Epoch(train) [70][ 640/1879] lr: 9.3877e-02 eta: 2 days, 1:37:55 time: 0.4782 data_time: 0.0382 memory: 18108 grad_norm: 2.9413 loss: 4.5727 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6595 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.9133 2023/02/01 03:49:42 - mmengine - INFO - Epoch(train) [70][ 660/1879] lr: 9.3873e-02 eta: 2 days, 1:37:43 time: 0.4821 data_time: 0.0361 memory: 18108 grad_norm: 2.9969 loss: 4.1851 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2911 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.8940 2023/02/01 03:49:52 - mmengine - INFO - Epoch(train) [70][ 680/1879] lr: 9.3869e-02 eta: 2 days, 1:37:31 time: 0.4817 data_time: 0.0315 memory: 18108 grad_norm: 2.9934 loss: 4.6086 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6909 top1_acc_1: 0.4706 top5_acc_1: 0.8000 loss_cls_1: 1.9178 2023/02/01 03:50:02 - mmengine - INFO - Epoch(train) [70][ 700/1879] lr: 9.3866e-02 eta: 2 days, 1:37:20 time: 0.4891 data_time: 0.0442 memory: 18108 grad_norm: 3.0060 loss: 4.6028 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5455 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 2.0573 2023/02/01 03:50:11 - mmengine - INFO - Epoch(train) [70][ 720/1879] lr: 9.3862e-02 eta: 2 days, 1:37:09 time: 0.4844 data_time: 0.0307 memory: 18108 grad_norm: 2.9878 loss: 4.4853 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5705 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9148 2023/02/01 03:50:21 - mmengine - INFO - Epoch(train) [70][ 740/1879] lr: 9.3858e-02 eta: 2 days, 1:36:57 time: 0.4909 data_time: 0.0374 memory: 18108 grad_norm: 3.0273 loss: 4.4433 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5365 top1_acc_1: 0.4588 top5_acc_1: 0.7294 loss_cls_1: 1.9068 2023/02/01 03:50:31 - mmengine - INFO - Epoch(train) [70][ 760/1879] lr: 9.3855e-02 eta: 2 days, 1:36:46 time: 0.4794 data_time: 0.0298 memory: 18108 grad_norm: 2.9916 loss: 4.4897 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5311 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9586 2023/02/01 03:50:40 - mmengine - INFO - Epoch(train) [70][ 780/1879] lr: 9.3851e-02 eta: 2 days, 1:36:34 time: 0.4907 data_time: 0.0437 memory: 18108 grad_norm: 2.9922 loss: 4.7453 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.8385 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.9067 2023/02/01 03:50:50 - mmengine - INFO - Epoch(train) [70][ 800/1879] lr: 9.3848e-02 eta: 2 days, 1:36:23 time: 0.4792 data_time: 0.0318 memory: 18108 grad_norm: 3.0050 loss: 4.4484 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6064 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8420 2023/02/01 03:51:00 - mmengine - INFO - Epoch(train) [70][ 820/1879] lr: 9.3844e-02 eta: 2 days, 1:36:11 time: 0.4914 data_time: 0.0363 memory: 18108 grad_norm: 3.0635 loss: 4.5985 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6816 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.9169 2023/02/01 03:51:10 - mmengine - INFO - Epoch(train) [70][ 840/1879] lr: 9.3840e-02 eta: 2 days, 1:36:01 time: 0.4964 data_time: 0.0312 memory: 18108 grad_norm: 2.9602 loss: 4.5295 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5391 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 1.9904 2023/02/01 03:51:20 - mmengine - INFO - Epoch(train) [70][ 860/1879] lr: 9.3837e-02 eta: 2 days, 1:35:51 time: 0.5152 data_time: 0.0431 memory: 18108 grad_norm: 2.9953 loss: 4.8270 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8572 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.9698 2023/02/01 03:51:30 - mmengine - INFO - Epoch(train) [70][ 880/1879] lr: 9.3833e-02 eta: 2 days, 1:35:40 time: 0.5008 data_time: 0.0319 memory: 18108 grad_norm: 3.0291 loss: 4.7459 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7291 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 2.0167 2023/02/01 03:51:40 - mmengine - INFO - Epoch(train) [70][ 900/1879] lr: 9.3829e-02 eta: 2 days, 1:35:30 time: 0.5052 data_time: 0.0380 memory: 18108 grad_norm: 2.9596 loss: 4.5886 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6330 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9556 2023/02/01 03:51:50 - mmengine - INFO - Epoch(train) [70][ 920/1879] lr: 9.3826e-02 eta: 2 days, 1:35:19 time: 0.5017 data_time: 0.0297 memory: 18108 grad_norm: 3.0221 loss: 4.4151 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6072 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.8079 2023/02/01 03:52:01 - mmengine - INFO - Epoch(train) [70][ 940/1879] lr: 9.3822e-02 eta: 2 days, 1:35:09 time: 0.5119 data_time: 0.0388 memory: 18108 grad_norm: 2.9965 loss: 4.5736 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7119 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8617 2023/02/01 03:52:11 - mmengine - INFO - Epoch(train) [70][ 960/1879] lr: 9.3819e-02 eta: 2 days, 1:34:58 time: 0.4978 data_time: 0.0316 memory: 18108 grad_norm: 2.9753 loss: 4.6390 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7295 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.9095 2023/02/01 03:52:21 - mmengine - INFO - Epoch(train) [70][ 980/1879] lr: 9.3815e-02 eta: 2 days, 1:34:48 time: 0.5039 data_time: 0.0367 memory: 18108 grad_norm: 3.0064 loss: 4.4634 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6069 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.8566 2023/02/01 03:52:31 - mmengine - INFO - Epoch(train) [70][1000/1879] lr: 9.3811e-02 eta: 2 days, 1:34:37 time: 0.4998 data_time: 0.0321 memory: 18108 grad_norm: 2.9394 loss: 4.4940 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6928 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.8011 2023/02/01 03:52:41 - mmengine - INFO - Epoch(train) [70][1020/1879] lr: 9.3808e-02 eta: 2 days, 1:34:27 time: 0.5137 data_time: 0.0371 memory: 18108 grad_norm: 2.9313 loss: 4.5119 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5525 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9595 2023/02/01 03:52:51 - mmengine - INFO - Epoch(train) [70][1040/1879] lr: 9.3804e-02 eta: 2 days, 1:34:16 time: 0.4927 data_time: 0.0313 memory: 18108 grad_norm: 3.0425 loss: 4.6212 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.7003 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9209 2023/02/01 03:53:01 - mmengine - INFO - Epoch(train) [70][1060/1879] lr: 9.3800e-02 eta: 2 days, 1:34:06 time: 0.5127 data_time: 0.0452 memory: 18108 grad_norm: 2.9759 loss: 4.4808 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5431 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.9377 2023/02/01 03:53:11 - mmengine - INFO - Epoch(train) [70][1080/1879] lr: 9.3797e-02 eta: 2 days, 1:33:56 time: 0.5155 data_time: 0.0295 memory: 18108 grad_norm: 3.0544 loss: 4.6772 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.7109 top1_acc_1: 0.4706 top5_acc_1: 0.7059 loss_cls_1: 1.9663 2023/02/01 03:53:22 - mmengine - INFO - Epoch(train) [70][1100/1879] lr: 9.3793e-02 eta: 2 days, 1:33:46 time: 0.5067 data_time: 0.0389 memory: 18108 grad_norm: 2.9380 loss: 4.4620 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6148 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.8472 2023/02/01 03:53:32 - mmengine - INFO - Epoch(train) [70][1120/1879] lr: 9.3790e-02 eta: 2 days, 1:33:35 time: 0.5047 data_time: 0.0291 memory: 18108 grad_norm: 3.0313 loss: 4.5522 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6408 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.9113 2023/02/01 03:53:42 - mmengine - INFO - Epoch(train) [70][1140/1879] lr: 9.3786e-02 eta: 2 days, 1:33:24 time: 0.4976 data_time: 0.0429 memory: 18108 grad_norm: 3.0186 loss: 4.9239 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.9546 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.9693 2023/02/01 03:53:52 - mmengine - INFO - Epoch(train) [70][1160/1879] lr: 9.3782e-02 eta: 2 days, 1:33:14 time: 0.5109 data_time: 0.0287 memory: 18108 grad_norm: 2.9599 loss: 4.5194 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.5526 top1_acc_1: 0.5529 top5_acc_1: 0.8706 loss_cls_1: 1.9668 2023/02/01 03:54:02 - mmengine - INFO - Epoch(train) [70][1180/1879] lr: 9.3779e-02 eta: 2 days, 1:33:04 time: 0.5002 data_time: 0.0374 memory: 18108 grad_norm: 3.0537 loss: 4.7087 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7680 top1_acc_1: 0.5765 top5_acc_1: 0.7294 loss_cls_1: 1.9407 2023/02/01 03:54:12 - mmengine - INFO - Epoch(train) [70][1200/1879] lr: 9.3775e-02 eta: 2 days, 1:32:53 time: 0.4980 data_time: 0.0291 memory: 18108 grad_norm: 2.9853 loss: 4.5327 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.6256 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9071 2023/02/01 03:54:22 - mmengine - INFO - Epoch(train) [70][1220/1879] lr: 9.3771e-02 eta: 2 days, 1:32:43 time: 0.5176 data_time: 0.0409 memory: 18108 grad_norm: 2.9960 loss: 4.5411 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5890 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.9521 2023/02/01 03:54:32 - mmengine - INFO - Epoch(train) [70][1240/1879] lr: 9.3768e-02 eta: 2 days, 1:32:32 time: 0.4926 data_time: 0.0299 memory: 18108 grad_norm: 2.9131 loss: 4.7083 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7564 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.9518 2023/02/01 03:54:42 - mmengine - INFO - Epoch(train) [70][1260/1879] lr: 9.3764e-02 eta: 2 days, 1:32:22 time: 0.5097 data_time: 0.0442 memory: 18108 grad_norm: 3.0218 loss: 4.7702 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.8269 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.9433 2023/02/01 03:54:52 - mmengine - INFO - Epoch(train) [70][1280/1879] lr: 9.3760e-02 eta: 2 days, 1:32:11 time: 0.5049 data_time: 0.0298 memory: 18108 grad_norm: 2.9518 loss: 4.6982 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.7698 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.9284 2023/02/01 03:55:03 - mmengine - INFO - Epoch(train) [70][1300/1879] lr: 9.3757e-02 eta: 2 days, 1:32:01 time: 0.5117 data_time: 0.0375 memory: 18108 grad_norm: 2.9884 loss: 4.4776 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.5734 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.9042 2023/02/01 03:55:13 - mmengine - INFO - Epoch(train) [70][1320/1879] lr: 9.3753e-02 eta: 2 days, 1:31:51 time: 0.5001 data_time: 0.0284 memory: 18108 grad_norm: 2.9634 loss: 4.8058 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7017 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.1041 2023/02/01 03:55:23 - mmengine - INFO - Epoch(train) [70][1340/1879] lr: 9.3750e-02 eta: 2 days, 1:31:40 time: 0.5047 data_time: 0.0380 memory: 18108 grad_norm: 2.9983 loss: 4.6302 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.7005 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 1.9297 2023/02/01 03:55:27 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 03:55:33 - mmengine - INFO - Epoch(train) [70][1360/1879] lr: 9.3746e-02 eta: 2 days, 1:31:30 time: 0.5102 data_time: 0.0287 memory: 18108 grad_norm: 2.9561 loss: 4.6947 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.7670 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 1.9277 2023/02/01 03:55:43 - mmengine - INFO - Epoch(train) [70][1380/1879] lr: 9.3742e-02 eta: 2 days, 1:31:19 time: 0.5001 data_time: 0.0376 memory: 18108 grad_norm: 2.9755 loss: 4.3312 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4534 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 1.8778 2023/02/01 03:55:53 - mmengine - INFO - Epoch(train) [70][1400/1879] lr: 9.3739e-02 eta: 2 days, 1:31:09 time: 0.5063 data_time: 0.0390 memory: 18108 grad_norm: 3.0050 loss: 4.6059 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6962 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.9097 2023/02/01 03:56:03 - mmengine - INFO - Epoch(train) [70][1420/1879] lr: 9.3735e-02 eta: 2 days, 1:30:59 time: 0.5135 data_time: 0.0363 memory: 18108 grad_norm: 2.9801 loss: 4.6127 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.7581 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.8545 2023/02/01 03:56:13 - mmengine - INFO - Epoch(train) [70][1440/1879] lr: 9.3731e-02 eta: 2 days, 1:30:49 time: 0.5014 data_time: 0.0304 memory: 18108 grad_norm: 2.9148 loss: 4.3233 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.4103 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 1.9130 2023/02/01 03:56:24 - mmengine - INFO - Epoch(train) [70][1460/1879] lr: 9.3728e-02 eta: 2 days, 1:30:38 time: 0.5076 data_time: 0.0443 memory: 18108 grad_norm: 2.9482 loss: 4.8366 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.9119 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9247 2023/02/01 03:56:34 - mmengine - INFO - Epoch(train) [70][1480/1879] lr: 9.3724e-02 eta: 2 days, 1:30:28 time: 0.5032 data_time: 0.0291 memory: 18108 grad_norm: 3.0200 loss: 4.6288 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6466 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.9822 2023/02/01 03:56:44 - mmengine - INFO - Epoch(train) [70][1500/1879] lr: 9.3720e-02 eta: 2 days, 1:30:17 time: 0.5048 data_time: 0.0390 memory: 18108 grad_norm: 2.9952 loss: 4.6959 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8276 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8683 2023/02/01 03:56:54 - mmengine - INFO - Epoch(train) [70][1520/1879] lr: 9.3717e-02 eta: 2 days, 1:30:06 time: 0.4945 data_time: 0.0283 memory: 18108 grad_norm: 2.9618 loss: 4.6220 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7437 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.8783 2023/02/01 03:57:04 - mmengine - INFO - Epoch(train) [70][1540/1879] lr: 9.3713e-02 eta: 2 days, 1:29:56 time: 0.5145 data_time: 0.0445 memory: 18108 grad_norm: 3.0024 loss: 4.4615 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6153 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8462 2023/02/01 03:57:14 - mmengine - INFO - Epoch(train) [70][1560/1879] lr: 9.3709e-02 eta: 2 days, 1:29:47 time: 0.5267 data_time: 0.0284 memory: 18108 grad_norm: 2.9531 loss: 4.5179 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5481 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.9698 2023/02/01 03:57:24 - mmengine - INFO - Epoch(train) [70][1580/1879] lr: 9.3706e-02 eta: 2 days, 1:29:36 time: 0.4979 data_time: 0.0372 memory: 18108 grad_norm: 2.9896 loss: 4.2172 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.3241 top1_acc_1: 0.4588 top5_acc_1: 0.7412 loss_cls_1: 1.8931 2023/02/01 03:57:34 - mmengine - INFO - Epoch(train) [70][1600/1879] lr: 9.3702e-02 eta: 2 days, 1:29:26 time: 0.5004 data_time: 0.0290 memory: 18108 grad_norm: 2.9547 loss: 4.4541 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.4969 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.9572 2023/02/01 03:57:45 - mmengine - INFO - Epoch(train) [70][1620/1879] lr: 9.3698e-02 eta: 2 days, 1:29:16 time: 0.5162 data_time: 0.0360 memory: 18108 grad_norm: 3.0307 loss: 4.3358 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4049 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 1.9309 2023/02/01 03:57:55 - mmengine - INFO - Epoch(train) [70][1640/1879] lr: 9.3695e-02 eta: 2 days, 1:29:06 time: 0.5104 data_time: 0.0296 memory: 18108 grad_norm: 3.0669 loss: 4.5193 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.5894 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9299 2023/02/01 03:58:05 - mmengine - INFO - Epoch(train) [70][1660/1879] lr: 9.3691e-02 eta: 2 days, 1:28:56 time: 0.5186 data_time: 0.0444 memory: 18108 grad_norm: 3.0305 loss: 4.6220 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.7264 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8956 2023/02/01 03:58:16 - mmengine - INFO - Epoch(train) [70][1680/1879] lr: 9.3687e-02 eta: 2 days, 1:28:48 time: 0.5510 data_time: 0.0295 memory: 18108 grad_norm: 3.0147 loss: 4.4805 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5345 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.9459 2023/02/01 03:58:27 - mmengine - INFO - Epoch(train) [70][1700/1879] lr: 9.3684e-02 eta: 2 days, 1:28:38 time: 0.5197 data_time: 0.0360 memory: 18108 grad_norm: 2.9589 loss: 4.5881 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6161 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.9720 2023/02/01 03:58:37 - mmengine - INFO - Epoch(train) [70][1720/1879] lr: 9.3680e-02 eta: 2 days, 1:28:28 time: 0.5051 data_time: 0.0362 memory: 18108 grad_norm: 3.0213 loss: 4.7315 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7830 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9485 2023/02/01 03:58:47 - mmengine - INFO - Epoch(train) [70][1740/1879] lr: 9.3676e-02 eta: 2 days, 1:28:18 time: 0.5207 data_time: 0.0445 memory: 18108 grad_norm: 2.9655 loss: 4.8087 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.7682 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.0405 2023/02/01 03:58:58 - mmengine - INFO - Epoch(train) [70][1760/1879] lr: 9.3673e-02 eta: 2 days, 1:28:08 time: 0.5092 data_time: 0.0333 memory: 18108 grad_norm: 3.0077 loss: 4.5995 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.6066 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.9929 2023/02/01 03:59:07 - mmengine - INFO - Epoch(train) [70][1780/1879] lr: 9.3669e-02 eta: 2 days, 1:27:57 time: 0.4946 data_time: 0.0350 memory: 18108 grad_norm: 2.9619 loss: 4.6047 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.7002 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.9045 2023/02/01 03:59:18 - mmengine - INFO - Epoch(train) [70][1800/1879] lr: 9.3665e-02 eta: 2 days, 1:27:47 time: 0.5157 data_time: 0.0390 memory: 18108 grad_norm: 2.9554 loss: 4.7869 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7775 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 2.0094 2023/02/01 03:59:28 - mmengine - INFO - Epoch(train) [70][1820/1879] lr: 9.3662e-02 eta: 2 days, 1:27:38 time: 0.5174 data_time: 0.0342 memory: 18108 grad_norm: 2.9921 loss: 4.5602 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6448 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.9154 2023/02/01 03:59:39 - mmengine - INFO - Epoch(train) [70][1840/1879] lr: 9.3658e-02 eta: 2 days, 1:27:28 time: 0.5253 data_time: 0.0332 memory: 18108 grad_norm: 3.0040 loss: 4.6996 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.8019 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8977 2023/02/01 03:59:49 - mmengine - INFO - Epoch(train) [70][1860/1879] lr: 9.3654e-02 eta: 2 days, 1:27:18 time: 0.5035 data_time: 0.0335 memory: 18108 grad_norm: 2.9614 loss: 4.5161 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.6876 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8285 2023/02/01 03:59:58 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 03:59:58 - mmengine - INFO - Epoch(train) [70][1879/1879] lr: 9.3651e-02 eta: 2 days, 1:27:07 time: 0.4917 data_time: 0.0356 memory: 18108 grad_norm: 3.0501 loss: 4.6119 top1_acc_0: 0.1429 top5_acc_0: 0.4286 loss_cls_0: 2.6604 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.9515 2023/02/01 04:00:13 - mmengine - INFO - Epoch(train) [71][ 20/1879] lr: 9.3647e-02 eta: 2 days, 1:27:08 time: 0.7216 data_time: 0.2636 memory: 18108 grad_norm: 2.9440 loss: 4.6980 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 2.8145 top1_acc_1: 0.4353 top5_acc_1: 0.7059 loss_cls_1: 1.8835 2023/02/01 04:00:23 - mmengine - INFO - Epoch(train) [71][ 40/1879] lr: 9.3644e-02 eta: 2 days, 1:26:56 time: 0.4657 data_time: 0.0345 memory: 18108 grad_norm: 2.9446 loss: 4.3695 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6157 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.7538 2023/02/01 04:00:32 - mmengine - INFO - Epoch(train) [71][ 60/1879] lr: 9.3640e-02 eta: 2 days, 1:26:44 time: 0.4720 data_time: 0.0353 memory: 18108 grad_norm: 2.9608 loss: 4.6082 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.6963 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.9118 2023/02/01 04:00:42 - mmengine - INFO - Epoch(train) [71][ 80/1879] lr: 9.3636e-02 eta: 2 days, 1:26:33 time: 0.4958 data_time: 0.0414 memory: 18108 grad_norm: 2.9986 loss: 4.7655 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8874 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8781 2023/02/01 04:00:52 - mmengine - INFO - Epoch(train) [71][ 100/1879] lr: 9.3633e-02 eta: 2 days, 1:26:21 time: 0.4866 data_time: 0.0359 memory: 18108 grad_norm: 2.9585 loss: 4.3849 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6202 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.7647 2023/02/01 04:01:01 - mmengine - INFO - Epoch(train) [71][ 120/1879] lr: 9.3629e-02 eta: 2 days, 1:26:10 time: 0.4780 data_time: 0.0351 memory: 18108 grad_norm: 2.9531 loss: 4.1928 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3990 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.7938 2023/02/01 04:01:11 - mmengine - INFO - Epoch(train) [71][ 140/1879] lr: 9.3625e-02 eta: 2 days, 1:25:59 time: 0.5028 data_time: 0.0331 memory: 18108 grad_norm: 3.0120 loss: 4.4705 top1_acc_0: 0.0000 top5_acc_0: 0.4375 loss_cls_0: 2.6620 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8085 2023/02/01 04:01:21 - mmengine - INFO - Epoch(train) [71][ 160/1879] lr: 9.3621e-02 eta: 2 days, 1:25:48 time: 0.4893 data_time: 0.0421 memory: 18108 grad_norm: 2.9902 loss: 4.2966 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5271 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.7696 2023/02/01 04:01:31 - mmengine - INFO - Epoch(train) [71][ 180/1879] lr: 9.3618e-02 eta: 2 days, 1:25:37 time: 0.4882 data_time: 0.0335 memory: 18108 grad_norm: 2.9537 loss: 4.2596 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4434 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8162 2023/02/01 04:01:41 - mmengine - INFO - Epoch(train) [71][ 200/1879] lr: 9.3614e-02 eta: 2 days, 1:25:26 time: 0.5024 data_time: 0.0343 memory: 18108 grad_norm: 3.0083 loss: 4.3650 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4556 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.9093 2023/02/01 04:01:51 - mmengine - INFO - Epoch(train) [71][ 220/1879] lr: 9.3610e-02 eta: 2 days, 1:25:15 time: 0.5018 data_time: 0.0334 memory: 18108 grad_norm: 2.9967 loss: 4.3677 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5351 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.8326 2023/02/01 04:02:01 - mmengine - INFO - Epoch(train) [71][ 240/1879] lr: 9.3607e-02 eta: 2 days, 1:25:05 time: 0.5069 data_time: 0.0400 memory: 18108 grad_norm: 3.0547 loss: 4.3641 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4853 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8788 2023/02/01 04:02:11 - mmengine - INFO - Epoch(train) [71][ 260/1879] lr: 9.3603e-02 eta: 2 days, 1:24:54 time: 0.4985 data_time: 0.0333 memory: 18108 grad_norm: 2.9888 loss: 4.6252 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7388 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8864 2023/02/01 04:02:21 - mmengine - INFO - Epoch(train) [71][ 280/1879] lr: 9.3599e-02 eta: 2 days, 1:24:44 time: 0.5042 data_time: 0.0347 memory: 18108 grad_norm: 3.0062 loss: 4.6224 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7757 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.8468 2023/02/01 04:02:31 - mmengine - INFO - Epoch(train) [71][ 300/1879] lr: 9.3596e-02 eta: 2 days, 1:24:33 time: 0.5008 data_time: 0.0348 memory: 18108 grad_norm: 2.9915 loss: 4.3873 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5301 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8572 2023/02/01 04:02:41 - mmengine - INFO - Epoch(train) [71][ 320/1879] lr: 9.3592e-02 eta: 2 days, 1:24:23 time: 0.5021 data_time: 0.0408 memory: 18108 grad_norm: 3.0007 loss: 4.6536 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6531 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 2.0005 2023/02/01 04:02:51 - mmengine - INFO - Epoch(train) [71][ 340/1879] lr: 9.3588e-02 eta: 2 days, 1:24:12 time: 0.4979 data_time: 0.0337 memory: 18108 grad_norm: 2.9843 loss: 4.4634 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.6441 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8193 2023/02/01 04:03:01 - mmengine - INFO - Epoch(train) [71][ 360/1879] lr: 9.3585e-02 eta: 2 days, 1:24:01 time: 0.4955 data_time: 0.0346 memory: 18108 grad_norm: 2.9730 loss: 4.6396 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7574 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8822 2023/02/01 04:03:11 - mmengine - INFO - Epoch(train) [71][ 380/1879] lr: 9.3581e-02 eta: 2 days, 1:23:50 time: 0.5004 data_time: 0.0349 memory: 18108 grad_norm: 2.9701 loss: 4.5188 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6438 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.8750 2023/02/01 04:03:21 - mmengine - INFO - Epoch(train) [71][ 400/1879] lr: 9.3577e-02 eta: 2 days, 1:23:40 time: 0.5067 data_time: 0.0402 memory: 18108 grad_norm: 2.9602 loss: 4.4415 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5375 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.9040 2023/02/01 04:03:32 - mmengine - INFO - Epoch(train) [71][ 420/1879] lr: 9.3574e-02 eta: 2 days, 1:23:30 time: 0.5123 data_time: 0.0315 memory: 18108 grad_norm: 2.9548 loss: 4.4558 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.4964 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.9593 2023/02/01 04:03:42 - mmengine - INFO - Epoch(train) [71][ 440/1879] lr: 9.3570e-02 eta: 2 days, 1:23:20 time: 0.5110 data_time: 0.0364 memory: 18108 grad_norm: 2.9745 loss: 4.5324 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7341 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7983 2023/02/01 04:03:52 - mmengine - INFO - Epoch(train) [71][ 460/1879] lr: 9.3566e-02 eta: 2 days, 1:23:09 time: 0.4956 data_time: 0.0298 memory: 18108 grad_norm: 2.9626 loss: 4.4962 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5760 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.9202 2023/02/01 04:03:57 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 04:04:02 - mmengine - INFO - Epoch(train) [71][ 480/1879] lr: 9.3562e-02 eta: 2 days, 1:22:59 time: 0.5144 data_time: 0.0449 memory: 18108 grad_norm: 3.0426 loss: 4.4649 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5718 top1_acc_1: 0.4471 top5_acc_1: 0.7412 loss_cls_1: 1.8932 2023/02/01 04:04:12 - mmengine - INFO - Epoch(train) [71][ 500/1879] lr: 9.3559e-02 eta: 2 days, 1:22:48 time: 0.4986 data_time: 0.0299 memory: 18108 grad_norm: 3.0291 loss: 4.8336 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8318 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 2.0018 2023/02/01 04:04:22 - mmengine - INFO - Epoch(train) [71][ 520/1879] lr: 9.3555e-02 eta: 2 days, 1:22:38 time: 0.5103 data_time: 0.0390 memory: 18108 grad_norm: 2.9966 loss: 4.5490 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6423 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.9067 2023/02/01 04:04:32 - mmengine - INFO - Epoch(train) [71][ 540/1879] lr: 9.3551e-02 eta: 2 days, 1:22:27 time: 0.4956 data_time: 0.0347 memory: 18108 grad_norm: 2.9661 loss: 4.4544 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5907 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8636 2023/02/01 04:04:42 - mmengine - INFO - Epoch(train) [71][ 560/1879] lr: 9.3548e-02 eta: 2 days, 1:22:16 time: 0.4989 data_time: 0.0390 memory: 18108 grad_norm: 2.9053 loss: 4.3615 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5264 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 1.8351 2023/02/01 04:04:52 - mmengine - INFO - Epoch(train) [71][ 580/1879] lr: 9.3544e-02 eta: 2 days, 1:22:06 time: 0.5079 data_time: 0.0296 memory: 18108 grad_norm: 3.0481 loss: 4.6306 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7683 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.8623 2023/02/01 04:05:03 - mmengine - INFO - Epoch(train) [71][ 600/1879] lr: 9.3540e-02 eta: 2 days, 1:21:56 time: 0.5138 data_time: 0.0453 memory: 18108 grad_norm: 3.0149 loss: 4.4431 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5878 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8553 2023/02/01 04:05:12 - mmengine - INFO - Epoch(train) [71][ 620/1879] lr: 9.3537e-02 eta: 2 days, 1:21:45 time: 0.4849 data_time: 0.0292 memory: 18108 grad_norm: 2.9843 loss: 4.4662 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6108 top1_acc_1: 0.5765 top5_acc_1: 0.7176 loss_cls_1: 1.8554 2023/02/01 04:05:22 - mmengine - INFO - Epoch(train) [71][ 640/1879] lr: 9.3533e-02 eta: 2 days, 1:21:34 time: 0.4936 data_time: 0.0386 memory: 18108 grad_norm: 3.0179 loss: 4.3397 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4640 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 1.8758 2023/02/01 04:05:32 - mmengine - INFO - Epoch(train) [71][ 660/1879] lr: 9.3529e-02 eta: 2 days, 1:21:24 time: 0.5130 data_time: 0.0351 memory: 18108 grad_norm: 2.9862 loss: 4.6099 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7668 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.8431 2023/02/01 04:05:42 - mmengine - INFO - Epoch(train) [71][ 680/1879] lr: 9.3525e-02 eta: 2 days, 1:21:13 time: 0.4958 data_time: 0.0379 memory: 18108 grad_norm: 2.9631 loss: 4.7625 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7692 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.9933 2023/02/01 04:05:52 - mmengine - INFO - Epoch(train) [71][ 700/1879] lr: 9.3522e-02 eta: 2 days, 1:21:02 time: 0.4958 data_time: 0.0314 memory: 18108 grad_norm: 3.0349 loss: 4.5094 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6332 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8762 2023/02/01 04:06:03 - mmengine - INFO - Epoch(train) [71][ 720/1879] lr: 9.3518e-02 eta: 2 days, 1:20:52 time: 0.5142 data_time: 0.0450 memory: 18108 grad_norm: 2.9770 loss: 4.6572 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7947 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.8625 2023/02/01 04:06:13 - mmengine - INFO - Epoch(train) [71][ 740/1879] lr: 9.3514e-02 eta: 2 days, 1:20:42 time: 0.5110 data_time: 0.0294 memory: 18108 grad_norm: 3.0360 loss: 4.6279 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7205 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9075 2023/02/01 04:06:23 - mmengine - INFO - Epoch(train) [71][ 760/1879] lr: 9.3511e-02 eta: 2 days, 1:20:31 time: 0.4955 data_time: 0.0383 memory: 18108 grad_norm: 3.0021 loss: 4.5201 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6258 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8942 2023/02/01 04:06:33 - mmengine - INFO - Epoch(train) [71][ 780/1879] lr: 9.3507e-02 eta: 2 days, 1:20:20 time: 0.4916 data_time: 0.0301 memory: 18108 grad_norm: 2.9710 loss: 4.5360 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.6839 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.8521 2023/02/01 04:06:43 - mmengine - INFO - Epoch(train) [71][ 800/1879] lr: 9.3503e-02 eta: 2 days, 1:20:09 time: 0.5021 data_time: 0.0439 memory: 18108 grad_norm: 2.9945 loss: 4.6139 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 2.6731 top1_acc_1: 0.5882 top5_acc_1: 0.7294 loss_cls_1: 1.9408 2023/02/01 04:06:53 - mmengine - INFO - Epoch(train) [71][ 820/1879] lr: 9.3499e-02 eta: 2 days, 1:19:58 time: 0.4975 data_time: 0.0304 memory: 18108 grad_norm: 3.0706 loss: 4.5395 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5791 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.9604 2023/02/01 04:07:03 - mmengine - INFO - Epoch(train) [71][ 840/1879] lr: 9.3496e-02 eta: 2 days, 1:19:48 time: 0.4974 data_time: 0.0369 memory: 18108 grad_norm: 3.0032 loss: 4.5790 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6166 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 1.9624 2023/02/01 04:07:13 - mmengine - INFO - Epoch(train) [71][ 860/1879] lr: 9.3492e-02 eta: 2 days, 1:19:37 time: 0.5049 data_time: 0.0338 memory: 18108 grad_norm: 3.0132 loss: 4.4696 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6105 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.8590 2023/02/01 04:07:23 - mmengine - INFO - Epoch(train) [71][ 880/1879] lr: 9.3488e-02 eta: 2 days, 1:19:27 time: 0.5009 data_time: 0.0334 memory: 18108 grad_norm: 2.9788 loss: 4.6800 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7258 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.9542 2023/02/01 04:07:33 - mmengine - INFO - Epoch(train) [71][ 900/1879] lr: 9.3485e-02 eta: 2 days, 1:19:16 time: 0.5069 data_time: 0.0335 memory: 18108 grad_norm: 2.9744 loss: 4.5939 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6700 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.9239 2023/02/01 04:07:43 - mmengine - INFO - Epoch(train) [71][ 920/1879] lr: 9.3481e-02 eta: 2 days, 1:19:05 time: 0.4996 data_time: 0.0376 memory: 18108 grad_norm: 3.0309 loss: 4.5748 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.6389 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.9358 2023/02/01 04:07:53 - mmengine - INFO - Epoch(train) [71][ 940/1879] lr: 9.3477e-02 eta: 2 days, 1:18:56 time: 0.5230 data_time: 0.0349 memory: 18108 grad_norm: 3.0018 loss: 4.4767 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5245 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.9522 2023/02/01 04:08:03 - mmengine - INFO - Epoch(train) [71][ 960/1879] lr: 9.3473e-02 eta: 2 days, 1:18:45 time: 0.4963 data_time: 0.0323 memory: 18108 grad_norm: 2.9683 loss: 4.5207 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6381 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.8827 2023/02/01 04:08:13 - mmengine - INFO - Epoch(train) [71][ 980/1879] lr: 9.3470e-02 eta: 2 days, 1:18:35 time: 0.5099 data_time: 0.0430 memory: 18108 grad_norm: 2.9993 loss: 4.7121 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.7332 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.9789 2023/02/01 04:08:24 - mmengine - INFO - Epoch(train) [71][1000/1879] lr: 9.3466e-02 eta: 2 days, 1:18:24 time: 0.5005 data_time: 0.0312 memory: 18108 grad_norm: 3.0071 loss: 4.8043 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8796 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.9247 2023/02/01 04:08:34 - mmengine - INFO - Epoch(train) [71][1020/1879] lr: 9.3462e-02 eta: 2 days, 1:18:14 time: 0.5101 data_time: 0.0356 memory: 18108 grad_norm: 3.0126 loss: 4.5021 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5316 top1_acc_1: 0.4588 top5_acc_1: 0.7294 loss_cls_1: 1.9706 2023/02/01 04:08:44 - mmengine - INFO - Epoch(train) [71][1040/1879] lr: 9.3459e-02 eta: 2 days, 1:18:03 time: 0.4953 data_time: 0.0302 memory: 18108 grad_norm: 2.9807 loss: 4.5844 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6013 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.9831 2023/02/01 04:08:54 - mmengine - INFO - Epoch(train) [71][1060/1879] lr: 9.3455e-02 eta: 2 days, 1:17:53 time: 0.5121 data_time: 0.0424 memory: 18108 grad_norm: 2.9094 loss: 4.5333 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5372 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.9961 2023/02/01 04:09:04 - mmengine - INFO - Epoch(train) [71][1080/1879] lr: 9.3451e-02 eta: 2 days, 1:17:43 time: 0.5073 data_time: 0.0303 memory: 18108 grad_norm: 3.0546 loss: 4.6174 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.7594 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8579 2023/02/01 04:09:14 - mmengine - INFO - Epoch(train) [71][1100/1879] lr: 9.3447e-02 eta: 2 days, 1:17:33 time: 0.5148 data_time: 0.0357 memory: 18108 grad_norm: 2.9945 loss: 4.5793 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.6618 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.9176 2023/02/01 04:09:24 - mmengine - INFO - Epoch(train) [71][1120/1879] lr: 9.3444e-02 eta: 2 days, 1:17:22 time: 0.5020 data_time: 0.0402 memory: 18108 grad_norm: 2.9966 loss: 4.5386 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6030 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9357 2023/02/01 04:09:35 - mmengine - INFO - Epoch(train) [71][1140/1879] lr: 9.3440e-02 eta: 2 days, 1:17:13 time: 0.5198 data_time: 0.0402 memory: 18108 grad_norm: 3.0218 loss: 4.5901 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6605 top1_acc_1: 0.4588 top5_acc_1: 0.7647 loss_cls_1: 1.9296 2023/02/01 04:09:45 - mmengine - INFO - Epoch(train) [71][1160/1879] lr: 9.3436e-02 eta: 2 days, 1:17:03 time: 0.5074 data_time: 0.0269 memory: 18108 grad_norm: 2.9402 loss: 4.5435 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6419 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9016 2023/02/01 04:09:55 - mmengine - INFO - Epoch(train) [71][1180/1879] lr: 9.3432e-02 eta: 2 days, 1:16:53 time: 0.5227 data_time: 0.0426 memory: 18108 grad_norm: 3.0632 loss: 4.5665 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6699 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8966 2023/02/01 04:10:05 - mmengine - INFO - Epoch(train) [71][1200/1879] lr: 9.3429e-02 eta: 2 days, 1:16:42 time: 0.5015 data_time: 0.0286 memory: 18108 grad_norm: 3.0058 loss: 4.5899 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7136 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.8763 2023/02/01 04:10:16 - mmengine - INFO - Epoch(train) [71][1220/1879] lr: 9.3425e-02 eta: 2 days, 1:16:33 time: 0.5144 data_time: 0.0351 memory: 18108 grad_norm: 3.0687 loss: 4.6604 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.7588 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.9017 2023/02/01 04:10:26 - mmengine - INFO - Epoch(train) [71][1240/1879] lr: 9.3421e-02 eta: 2 days, 1:16:22 time: 0.5016 data_time: 0.0291 memory: 18108 grad_norm: 3.0014 loss: 4.5244 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6713 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8531 2023/02/01 04:10:36 - mmengine - INFO - Epoch(train) [71][1260/1879] lr: 9.3418e-02 eta: 2 days, 1:16:12 time: 0.5156 data_time: 0.0375 memory: 18108 grad_norm: 2.9854 loss: 4.6238 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7581 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.8658 2023/02/01 04:10:46 - mmengine - INFO - Epoch(train) [71][1280/1879] lr: 9.3414e-02 eta: 2 days, 1:16:01 time: 0.4985 data_time: 0.0287 memory: 18108 grad_norm: 3.0173 loss: 4.5181 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6030 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 1.9150 2023/02/01 04:10:56 - mmengine - INFO - Epoch(train) [71][1300/1879] lr: 9.3410e-02 eta: 2 days, 1:15:52 time: 0.5178 data_time: 0.0357 memory: 18108 grad_norm: 2.9645 loss: 4.5469 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5686 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.9783 2023/02/01 04:11:07 - mmengine - INFO - Epoch(train) [71][1320/1879] lr: 9.3406e-02 eta: 2 days, 1:15:41 time: 0.5036 data_time: 0.0345 memory: 18108 grad_norm: 3.0057 loss: 4.4478 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5509 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.8969 2023/02/01 04:11:17 - mmengine - INFO - Epoch(train) [71][1340/1879] lr: 9.3403e-02 eta: 2 days, 1:15:31 time: 0.5151 data_time: 0.0368 memory: 18108 grad_norm: 3.0362 loss: 4.4066 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.4082 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9984 2023/02/01 04:11:27 - mmengine - INFO - Epoch(train) [71][1360/1879] lr: 9.3399e-02 eta: 2 days, 1:15:21 time: 0.5026 data_time: 0.0279 memory: 18108 grad_norm: 2.9782 loss: 4.2782 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3857 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.8925 2023/02/01 04:11:37 - mmengine - INFO - Epoch(train) [71][1380/1879] lr: 9.3395e-02 eta: 2 days, 1:15:11 time: 0.5175 data_time: 0.0354 memory: 18108 grad_norm: 2.9587 loss: 4.4271 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5771 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 1.8501 2023/02/01 04:11:47 - mmengine - INFO - Epoch(train) [71][1400/1879] lr: 9.3391e-02 eta: 2 days, 1:15:00 time: 0.4931 data_time: 0.0301 memory: 18108 grad_norm: 3.0011 loss: 4.6868 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7848 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9020 2023/02/01 04:11:58 - mmengine - INFO - Epoch(train) [71][1420/1879] lr: 9.3388e-02 eta: 2 days, 1:14:50 time: 0.5220 data_time: 0.0382 memory: 18108 grad_norm: 2.9633 loss: 4.7090 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7286 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9804 2023/02/01 04:12:08 - mmengine - INFO - Epoch(train) [71][1440/1879] lr: 9.3384e-02 eta: 2 days, 1:14:40 time: 0.5050 data_time: 0.0274 memory: 18108 grad_norm: 2.9793 loss: 4.5661 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6587 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.9074 2023/02/01 04:12:18 - mmengine - INFO - Epoch(train) [71][1460/1879] lr: 9.3380e-02 eta: 2 days, 1:14:30 time: 0.5127 data_time: 0.0429 memory: 18108 grad_norm: 2.9698 loss: 4.3089 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4587 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.8502 2023/02/01 04:12:23 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 04:12:28 - mmengine - INFO - Epoch(train) [71][1480/1879] lr: 9.3376e-02 eta: 2 days, 1:14:19 time: 0.5009 data_time: 0.0305 memory: 18108 grad_norm: 3.0470 loss: 4.4266 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.5909 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.8357 2023/02/01 04:12:38 - mmengine - INFO - Epoch(train) [71][1500/1879] lr: 9.3373e-02 eta: 2 days, 1:14:10 time: 0.5213 data_time: 0.0376 memory: 18108 grad_norm: 3.0261 loss: 4.8582 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.9679 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.8902 2023/02/01 04:12:48 - mmengine - INFO - Epoch(train) [71][1520/1879] lr: 9.3369e-02 eta: 2 days, 1:13:59 time: 0.4942 data_time: 0.0371 memory: 18108 grad_norm: 2.9499 loss: 4.5340 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6767 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.8573 2023/02/01 04:12:59 - mmengine - INFO - Epoch(train) [71][1540/1879] lr: 9.3365e-02 eta: 2 days, 1:13:49 time: 0.5156 data_time: 0.0362 memory: 18108 grad_norm: 2.9885 loss: 4.6998 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7652 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 1.9345 2023/02/01 04:13:09 - mmengine - INFO - Epoch(train) [71][1560/1879] lr: 9.3361e-02 eta: 2 days, 1:13:39 time: 0.5089 data_time: 0.0291 memory: 18108 grad_norm: 3.0056 loss: 4.7029 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7737 top1_acc_1: 0.4471 top5_acc_1: 0.7529 loss_cls_1: 1.9292 2023/02/01 04:13:19 - mmengine - INFO - Epoch(train) [71][1580/1879] lr: 9.3358e-02 eta: 2 days, 1:13:29 time: 0.5278 data_time: 0.0441 memory: 18108 grad_norm: 2.9627 loss: 4.7408 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8193 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.9215 2023/02/01 04:13:29 - mmengine - INFO - Epoch(train) [71][1600/1879] lr: 9.3354e-02 eta: 2 days, 1:13:19 time: 0.4978 data_time: 0.0299 memory: 18108 grad_norm: 3.0501 loss: 4.5711 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6104 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9607 2023/02/01 04:13:40 - mmengine - INFO - Epoch(train) [71][1620/1879] lr: 9.3350e-02 eta: 2 days, 1:13:08 time: 0.5085 data_time: 0.0359 memory: 18108 grad_norm: 3.0248 loss: 4.5754 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6731 top1_acc_1: 0.4235 top5_acc_1: 0.7529 loss_cls_1: 1.9023 2023/02/01 04:13:50 - mmengine - INFO - Epoch(train) [71][1640/1879] lr: 9.3346e-02 eta: 2 days, 1:12:59 time: 0.5180 data_time: 0.0356 memory: 18108 grad_norm: 2.9512 loss: 4.7552 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8093 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.9459 2023/02/01 04:14:00 - mmengine - INFO - Epoch(train) [71][1660/1879] lr: 9.3343e-02 eta: 2 days, 1:12:49 time: 0.5105 data_time: 0.0373 memory: 18108 grad_norm: 2.9871 loss: 4.9747 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.8703 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 2.1044 2023/02/01 04:14:10 - mmengine - INFO - Epoch(train) [71][1680/1879] lr: 9.3339e-02 eta: 2 days, 1:12:38 time: 0.4992 data_time: 0.0290 memory: 18108 grad_norm: 3.0271 loss: 4.5932 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.7137 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8795 2023/02/01 04:14:21 - mmengine - INFO - Epoch(train) [71][1700/1879] lr: 9.3335e-02 eta: 2 days, 1:12:29 time: 0.5320 data_time: 0.0525 memory: 18108 grad_norm: 3.0013 loss: 4.6603 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.7405 top1_acc_1: 0.3882 top5_acc_1: 0.6588 loss_cls_1: 1.9198 2023/02/01 04:14:31 - mmengine - INFO - Epoch(train) [71][1720/1879] lr: 9.3331e-02 eta: 2 days, 1:12:18 time: 0.4994 data_time: 0.0292 memory: 18108 grad_norm: 2.9910 loss: 4.4664 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5815 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8849 2023/02/01 04:14:41 - mmengine - INFO - Epoch(train) [71][1740/1879] lr: 9.3328e-02 eta: 2 days, 1:12:08 time: 0.5160 data_time: 0.0382 memory: 18108 grad_norm: 2.9779 loss: 4.6358 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7206 top1_acc_1: 0.6706 top5_acc_1: 0.7882 loss_cls_1: 1.9153 2023/02/01 04:14:51 - mmengine - INFO - Epoch(train) [71][1760/1879] lr: 9.3324e-02 eta: 2 days, 1:11:58 time: 0.5063 data_time: 0.0288 memory: 18108 grad_norm: 2.9865 loss: 4.5988 top1_acc_0: 0.3125 top5_acc_0: 0.3125 loss_cls_0: 2.7405 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 1.8582 2023/02/01 04:15:01 - mmengine - INFO - Epoch(train) [71][1780/1879] lr: 9.3320e-02 eta: 2 days, 1:11:48 time: 0.5098 data_time: 0.0425 memory: 18108 grad_norm: 2.9854 loss: 4.5050 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5544 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.9506 2023/02/01 04:15:11 - mmengine - INFO - Epoch(train) [71][1800/1879] lr: 9.3316e-02 eta: 2 days, 1:11:37 time: 0.5003 data_time: 0.0308 memory: 18108 grad_norm: 2.9744 loss: 4.6476 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7057 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 1.9419 2023/02/01 04:15:22 - mmengine - INFO - Epoch(train) [71][1820/1879] lr: 9.3313e-02 eta: 2 days, 1:11:27 time: 0.5174 data_time: 0.0347 memory: 18108 grad_norm: 3.0291 loss: 4.8044 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8134 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9910 2023/02/01 04:15:32 - mmengine - INFO - Epoch(train) [71][1840/1879] lr: 9.3309e-02 eta: 2 days, 1:11:18 time: 0.5225 data_time: 0.0356 memory: 18108 grad_norm: 2.9996 loss: 4.5572 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6720 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.8852 2023/02/01 04:15:43 - mmengine - INFO - Epoch(train) [71][1860/1879] lr: 9.3305e-02 eta: 2 days, 1:11:08 time: 0.5129 data_time: 0.0353 memory: 18108 grad_norm: 2.9709 loss: 4.7241 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7906 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.9335 2023/02/01 04:15:52 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 04:15:52 - mmengine - INFO - Epoch(train) [71][1879/1879] lr: 9.3301e-02 eta: 2 days, 1:10:57 time: 0.4828 data_time: 0.0327 memory: 18108 grad_norm: 3.0620 loss: 4.4684 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 2.5185 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9498 2023/02/01 04:16:07 - mmengine - INFO - Epoch(train) [72][ 20/1879] lr: 9.3298e-02 eta: 2 days, 1:10:57 time: 0.7083 data_time: 0.2596 memory: 18108 grad_norm: 2.9705 loss: 4.3766 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5298 top1_acc_1: 0.6353 top5_acc_1: 0.7647 loss_cls_1: 1.8468 2023/02/01 04:16:16 - mmengine - INFO - Epoch(train) [72][ 40/1879] lr: 9.3294e-02 eta: 2 days, 1:10:45 time: 0.4734 data_time: 0.0344 memory: 18108 grad_norm: 3.0338 loss: 4.6968 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8170 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8797 2023/02/01 04:16:26 - mmengine - INFO - Epoch(train) [72][ 60/1879] lr: 9.3290e-02 eta: 2 days, 1:10:33 time: 0.4775 data_time: 0.0349 memory: 18108 grad_norm: 3.0074 loss: 4.3403 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4300 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.9103 2023/02/01 04:16:36 - mmengine - INFO - Epoch(train) [72][ 80/1879] lr: 9.3286e-02 eta: 2 days, 1:10:23 time: 0.5204 data_time: 0.0423 memory: 18108 grad_norm: 3.0627 loss: 4.8777 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.8922 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9854 2023/02/01 04:16:46 - mmengine - INFO - Epoch(train) [72][ 100/1879] lr: 9.3283e-02 eta: 2 days, 1:10:12 time: 0.4847 data_time: 0.0363 memory: 18108 grad_norm: 2.9651 loss: 4.3970 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5690 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 1.8280 2023/02/01 04:16:55 - mmengine - INFO - Epoch(train) [72][ 120/1879] lr: 9.3279e-02 eta: 2 days, 1:10:00 time: 0.4778 data_time: 0.0331 memory: 18108 grad_norm: 3.0184 loss: 4.5354 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6608 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.8747 2023/02/01 04:17:06 - mmengine - INFO - Epoch(train) [72][ 140/1879] lr: 9.3275e-02 eta: 2 days, 1:09:50 time: 0.5141 data_time: 0.0341 memory: 18108 grad_norm: 3.0276 loss: 4.6641 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.6652 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.9990 2023/02/01 04:17:15 - mmengine - INFO - Epoch(train) [72][ 160/1879] lr: 9.3271e-02 eta: 2 days, 1:09:39 time: 0.4946 data_time: 0.0402 memory: 18108 grad_norm: 3.0018 loss: 4.4729 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6750 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7979 2023/02/01 04:17:25 - mmengine - INFO - Epoch(train) [72][ 180/1879] lr: 9.3268e-02 eta: 2 days, 1:09:28 time: 0.4919 data_time: 0.0364 memory: 18108 grad_norm: 3.0783 loss: 4.4744 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6676 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.8069 2023/02/01 04:17:35 - mmengine - INFO - Epoch(train) [72][ 200/1879] lr: 9.3264e-02 eta: 2 days, 1:09:17 time: 0.4872 data_time: 0.0339 memory: 18108 grad_norm: 2.9866 loss: 4.4980 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6433 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8547 2023/02/01 04:17:45 - mmengine - INFO - Epoch(train) [72][ 220/1879] lr: 9.3260e-02 eta: 2 days, 1:09:07 time: 0.5163 data_time: 0.0406 memory: 18108 grad_norm: 2.9742 loss: 4.4480 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5973 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.8507 2023/02/01 04:17:55 - mmengine - INFO - Epoch(train) [72][ 240/1879] lr: 9.3256e-02 eta: 2 days, 1:08:55 time: 0.4840 data_time: 0.0359 memory: 18108 grad_norm: 3.0164 loss: 4.6732 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8000 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8732 2023/02/01 04:18:05 - mmengine - INFO - Epoch(train) [72][ 260/1879] lr: 9.3252e-02 eta: 2 days, 1:08:44 time: 0.4955 data_time: 0.0339 memory: 18108 grad_norm: 2.9986 loss: 4.5420 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6101 top1_acc_1: 0.4471 top5_acc_1: 0.6941 loss_cls_1: 1.9319 2023/02/01 04:18:15 - mmengine - INFO - Epoch(train) [72][ 280/1879] lr: 9.3249e-02 eta: 2 days, 1:08:33 time: 0.4889 data_time: 0.0324 memory: 18108 grad_norm: 2.9918 loss: 4.4452 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5827 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.8624 2023/02/01 04:18:25 - mmengine - INFO - Epoch(train) [72][ 300/1879] lr: 9.3245e-02 eta: 2 days, 1:08:23 time: 0.5004 data_time: 0.0406 memory: 18108 grad_norm: 2.9123 loss: 4.5498 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6443 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.9054 2023/02/01 04:18:34 - mmengine - INFO - Epoch(train) [72][ 320/1879] lr: 9.3241e-02 eta: 2 days, 1:08:11 time: 0.4742 data_time: 0.0328 memory: 18108 grad_norm: 3.0228 loss: 4.7320 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7597 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9724 2023/02/01 04:18:44 - mmengine - INFO - Epoch(train) [72][ 340/1879] lr: 9.3237e-02 eta: 2 days, 1:08:00 time: 0.4934 data_time: 0.0368 memory: 18108 grad_norm: 3.0587 loss: 4.6038 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7290 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.8748 2023/02/01 04:18:54 - mmengine - INFO - Epoch(train) [72][ 360/1879] lr: 9.3234e-02 eta: 2 days, 1:07:48 time: 0.4893 data_time: 0.0336 memory: 18108 grad_norm: 3.0166 loss: 4.5971 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7218 top1_acc_1: 0.4824 top5_acc_1: 0.7882 loss_cls_1: 1.8753 2023/02/01 04:19:04 - mmengine - INFO - Epoch(train) [72][ 380/1879] lr: 9.3230e-02 eta: 2 days, 1:07:38 time: 0.5075 data_time: 0.0427 memory: 18108 grad_norm: 3.0179 loss: 4.5866 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6697 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.9169 2023/02/01 04:19:14 - mmengine - INFO - Epoch(train) [72][ 400/1879] lr: 9.3226e-02 eta: 2 days, 1:07:27 time: 0.4905 data_time: 0.0338 memory: 18108 grad_norm: 2.9746 loss: 4.6119 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7440 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.8678 2023/02/01 04:19:24 - mmengine - INFO - Epoch(train) [72][ 420/1879] lr: 9.3222e-02 eta: 2 days, 1:07:16 time: 0.5008 data_time: 0.0355 memory: 18108 grad_norm: 2.9889 loss: 4.6092 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6055 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 2.0037 2023/02/01 04:19:34 - mmengine - INFO - Epoch(train) [72][ 440/1879] lr: 9.3218e-02 eta: 2 days, 1:07:05 time: 0.4895 data_time: 0.0402 memory: 18108 grad_norm: 2.9918 loss: 4.6788 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7748 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.9040 2023/02/01 04:19:44 - mmengine - INFO - Epoch(train) [72][ 460/1879] lr: 9.3215e-02 eta: 2 days, 1:06:55 time: 0.5080 data_time: 0.0347 memory: 18108 grad_norm: 3.0065 loss: 4.7617 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7863 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.9754 2023/02/01 04:19:54 - mmengine - INFO - Epoch(train) [72][ 480/1879] lr: 9.3211e-02 eta: 2 days, 1:06:43 time: 0.4817 data_time: 0.0325 memory: 18108 grad_norm: 2.9975 loss: 4.5568 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.6434 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.9133 2023/02/01 04:20:04 - mmengine - INFO - Epoch(train) [72][ 500/1879] lr: 9.3207e-02 eta: 2 days, 1:06:32 time: 0.4999 data_time: 0.0357 memory: 18108 grad_norm: 2.9658 loss: 4.5521 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6064 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.9457 2023/02/01 04:20:14 - mmengine - INFO - Epoch(train) [72][ 520/1879] lr: 9.3203e-02 eta: 2 days, 1:06:22 time: 0.4995 data_time: 0.0422 memory: 18108 grad_norm: 3.0577 loss: 4.4498 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 2.5487 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9011 2023/02/01 04:20:24 - mmengine - INFO - Epoch(train) [72][ 540/1879] lr: 9.3199e-02 eta: 2 days, 1:06:11 time: 0.5002 data_time: 0.0351 memory: 18108 grad_norm: 3.0194 loss: 4.5609 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6411 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.9198 2023/02/01 04:20:33 - mmengine - INFO - Epoch(train) [72][ 560/1879] lr: 9.3196e-02 eta: 2 days, 1:06:00 time: 0.4844 data_time: 0.0343 memory: 18108 grad_norm: 2.9678 loss: 4.6818 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7858 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8959 2023/02/01 04:20:43 - mmengine - INFO - Epoch(train) [72][ 580/1879] lr: 9.3192e-02 eta: 2 days, 1:05:49 time: 0.4967 data_time: 0.0356 memory: 18108 grad_norm: 2.9606 loss: 4.5036 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6294 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8742 2023/02/01 04:20:49 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 04:20:53 - mmengine - INFO - Epoch(train) [72][ 600/1879] lr: 9.3188e-02 eta: 2 days, 1:05:38 time: 0.5011 data_time: 0.0402 memory: 18108 grad_norm: 2.9905 loss: 4.5467 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5963 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.9504 2023/02/01 04:21:03 - mmengine - INFO - Epoch(train) [72][ 620/1879] lr: 9.3184e-02 eta: 2 days, 1:05:27 time: 0.4957 data_time: 0.0346 memory: 18108 grad_norm: 2.9557 loss: 4.3575 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.4668 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.8907 2023/02/01 04:21:13 - mmengine - INFO - Epoch(train) [72][ 640/1879] lr: 9.3180e-02 eta: 2 days, 1:05:16 time: 0.4934 data_time: 0.0341 memory: 18108 grad_norm: 3.0249 loss: 4.4198 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4859 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 1.9339 2023/02/01 04:21:23 - mmengine - INFO - Epoch(train) [72][ 660/1879] lr: 9.3177e-02 eta: 2 days, 1:05:06 time: 0.5095 data_time: 0.0417 memory: 18108 grad_norm: 3.0227 loss: 4.4662 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6367 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8295 2023/02/01 04:21:33 - mmengine - INFO - Epoch(train) [72][ 680/1879] lr: 9.3173e-02 eta: 2 days, 1:04:55 time: 0.4974 data_time: 0.0331 memory: 18108 grad_norm: 3.0429 loss: 4.5339 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6563 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8776 2023/02/01 04:21:43 - mmengine - INFO - Epoch(train) [72][ 700/1879] lr: 9.3169e-02 eta: 2 days, 1:04:45 time: 0.5001 data_time: 0.0361 memory: 18108 grad_norm: 2.9717 loss: 4.5693 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6395 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9297 2023/02/01 04:21:53 - mmengine - INFO - Epoch(train) [72][ 720/1879] lr: 9.3165e-02 eta: 2 days, 1:04:33 time: 0.4895 data_time: 0.0326 memory: 18108 grad_norm: 2.9579 loss: 4.5909 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5982 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9927 2023/02/01 04:22:03 - mmengine - INFO - Epoch(train) [72][ 740/1879] lr: 9.3161e-02 eta: 2 days, 1:04:23 time: 0.5049 data_time: 0.0420 memory: 18108 grad_norm: 3.0643 loss: 4.4992 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.5007 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.9985 2023/02/01 04:22:13 - mmengine - INFO - Epoch(train) [72][ 760/1879] lr: 9.3158e-02 eta: 2 days, 1:04:12 time: 0.4874 data_time: 0.0337 memory: 18108 grad_norm: 3.0139 loss: 4.5527 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6171 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.9356 2023/02/01 04:22:23 - mmengine - INFO - Epoch(train) [72][ 780/1879] lr: 9.3154e-02 eta: 2 days, 1:04:02 time: 0.5165 data_time: 0.0375 memory: 18108 grad_norm: 3.0428 loss: 4.6028 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8406 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7622 2023/02/01 04:22:33 - mmengine - INFO - Epoch(train) [72][ 800/1879] lr: 9.3150e-02 eta: 2 days, 1:03:51 time: 0.4872 data_time: 0.0351 memory: 18108 grad_norm: 2.9544 loss: 4.4642 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5735 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8907 2023/02/01 04:22:43 - mmengine - INFO - Epoch(train) [72][ 820/1879] lr: 9.3146e-02 eta: 2 days, 1:03:40 time: 0.5079 data_time: 0.0384 memory: 18108 grad_norm: 2.9974 loss: 4.5546 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.7160 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.8386 2023/02/01 04:22:53 - mmengine - INFO - Epoch(train) [72][ 840/1879] lr: 9.3142e-02 eta: 2 days, 1:03:30 time: 0.4991 data_time: 0.0330 memory: 18108 grad_norm: 2.9518 loss: 4.5493 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6510 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8982 2023/02/01 04:23:03 - mmengine - INFO - Epoch(train) [72][ 860/1879] lr: 9.3139e-02 eta: 2 days, 1:03:18 time: 0.4918 data_time: 0.0358 memory: 18108 grad_norm: 2.9209 loss: 4.7303 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.8400 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.8903 2023/02/01 04:23:13 - mmengine - INFO - Epoch(train) [72][ 880/1879] lr: 9.3135e-02 eta: 2 days, 1:03:07 time: 0.4931 data_time: 0.0441 memory: 18108 grad_norm: 2.9914 loss: 4.7024 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.8438 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8586 2023/02/01 04:23:23 - mmengine - INFO - Epoch(train) [72][ 900/1879] lr: 9.3131e-02 eta: 2 days, 1:02:57 time: 0.4969 data_time: 0.0360 memory: 18108 grad_norm: 2.9878 loss: 4.3914 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4610 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9303 2023/02/01 04:23:33 - mmengine - INFO - Epoch(train) [72][ 920/1879] lr: 9.3127e-02 eta: 2 days, 1:02:46 time: 0.5014 data_time: 0.0335 memory: 18108 grad_norm: 2.9451 loss: 4.5780 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6364 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.9416 2023/02/01 04:23:43 - mmengine - INFO - Epoch(train) [72][ 940/1879] lr: 9.3123e-02 eta: 2 days, 1:02:35 time: 0.4916 data_time: 0.0357 memory: 18108 grad_norm: 2.9687 loss: 4.3148 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4539 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 1.8609 2023/02/01 04:23:53 - mmengine - INFO - Epoch(train) [72][ 960/1879] lr: 9.3120e-02 eta: 2 days, 1:02:24 time: 0.5038 data_time: 0.0420 memory: 18108 grad_norm: 3.0002 loss: 4.5599 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6478 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.9121 2023/02/01 04:24:03 - mmengine - INFO - Epoch(train) [72][ 980/1879] lr: 9.3116e-02 eta: 2 days, 1:02:14 time: 0.5082 data_time: 0.0351 memory: 18108 grad_norm: 2.9905 loss: 4.7035 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7621 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9415 2023/02/01 04:24:13 - mmengine - INFO - Epoch(train) [72][1000/1879] lr: 9.3112e-02 eta: 2 days, 1:02:03 time: 0.4966 data_time: 0.0343 memory: 18108 grad_norm: 3.0139 loss: 4.7018 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7903 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9115 2023/02/01 04:24:23 - mmengine - INFO - Epoch(train) [72][1020/1879] lr: 9.3108e-02 eta: 2 days, 1:01:53 time: 0.5065 data_time: 0.0364 memory: 18108 grad_norm: 3.0131 loss: 4.3717 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4591 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9127 2023/02/01 04:24:33 - mmengine - INFO - Epoch(train) [72][1040/1879] lr: 9.3104e-02 eta: 2 days, 1:01:43 time: 0.5102 data_time: 0.0402 memory: 18108 grad_norm: 2.9895 loss: 4.3692 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4874 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8818 2023/02/01 04:24:43 - mmengine - INFO - Epoch(train) [72][1060/1879] lr: 9.3101e-02 eta: 2 days, 1:01:32 time: 0.4987 data_time: 0.0358 memory: 18108 grad_norm: 2.9404 loss: 4.5339 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6661 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.8679 2023/02/01 04:24:53 - mmengine - INFO - Epoch(train) [72][1080/1879] lr: 9.3097e-02 eta: 2 days, 1:01:21 time: 0.4979 data_time: 0.0342 memory: 18108 grad_norm: 2.9816 loss: 4.5024 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5992 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 1.9032 2023/02/01 04:25:04 - mmengine - INFO - Epoch(train) [72][1100/1879] lr: 9.3093e-02 eta: 2 days, 1:01:12 time: 0.5206 data_time: 0.0411 memory: 18108 grad_norm: 3.0306 loss: 4.7652 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7394 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 2.0258 2023/02/01 04:25:14 - mmengine - INFO - Epoch(train) [72][1120/1879] lr: 9.3089e-02 eta: 2 days, 1:01:01 time: 0.5047 data_time: 0.0357 memory: 18108 grad_norm: 2.9851 loss: 4.4204 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5191 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.9012 2023/02/01 04:25:24 - mmengine - INFO - Epoch(train) [72][1140/1879] lr: 9.3085e-02 eta: 2 days, 1:00:50 time: 0.4930 data_time: 0.0337 memory: 18108 grad_norm: 3.0185 loss: 4.6302 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7926 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 1.8375 2023/02/01 04:25:34 - mmengine - INFO - Epoch(train) [72][1160/1879] lr: 9.3081e-02 eta: 2 days, 1:00:40 time: 0.5053 data_time: 0.0334 memory: 18108 grad_norm: 3.0519 loss: 4.5352 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6268 top1_acc_1: 0.4824 top5_acc_1: 0.6706 loss_cls_1: 1.9085 2023/02/01 04:25:44 - mmengine - INFO - Epoch(train) [72][1180/1879] lr: 9.3078e-02 eta: 2 days, 1:00:29 time: 0.5029 data_time: 0.0326 memory: 18108 grad_norm: 2.9523 loss: 4.7588 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8087 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.9501 2023/02/01 04:25:54 - mmengine - INFO - Epoch(train) [72][1200/1879] lr: 9.3074e-02 eta: 2 days, 1:00:19 time: 0.4948 data_time: 0.0316 memory: 18108 grad_norm: 2.9670 loss: 4.4312 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5670 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.8642 2023/02/01 04:26:04 - mmengine - INFO - Epoch(train) [72][1220/1879] lr: 9.3070e-02 eta: 2 days, 1:00:08 time: 0.5018 data_time: 0.0362 memory: 18108 grad_norm: 3.0405 loss: 4.6576 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7154 top1_acc_1: 0.5412 top5_acc_1: 0.8706 loss_cls_1: 1.9422 2023/02/01 04:26:14 - mmengine - INFO - Epoch(train) [72][1240/1879] lr: 9.3066e-02 eta: 2 days, 0:59:57 time: 0.4991 data_time: 0.0342 memory: 18108 grad_norm: 2.9807 loss: 4.7485 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8095 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.9390 2023/02/01 04:26:24 - mmengine - INFO - Epoch(train) [72][1260/1879] lr: 9.3062e-02 eta: 2 days, 0:59:47 time: 0.4988 data_time: 0.0399 memory: 18108 grad_norm: 2.9984 loss: 4.5489 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6001 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9488 2023/02/01 04:26:34 - mmengine - INFO - Epoch(train) [72][1280/1879] lr: 9.3058e-02 eta: 2 days, 0:59:35 time: 0.4921 data_time: 0.0345 memory: 18108 grad_norm: 2.9671 loss: 4.8018 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8772 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.9246 2023/02/01 04:26:44 - mmengine - INFO - Epoch(train) [72][1300/1879] lr: 9.3055e-02 eta: 2 days, 0:59:26 time: 0.5188 data_time: 0.0338 memory: 18108 grad_norm: 3.0503 loss: 4.8359 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8240 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 2.0119 2023/02/01 04:26:54 - mmengine - INFO - Epoch(train) [72][1320/1879] lr: 9.3051e-02 eta: 2 days, 0:59:15 time: 0.5069 data_time: 0.0418 memory: 18108 grad_norm: 2.9660 loss: 4.5206 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6297 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8909 2023/02/01 04:27:04 - mmengine - INFO - Epoch(train) [72][1340/1879] lr: 9.3047e-02 eta: 2 days, 0:59:05 time: 0.5038 data_time: 0.0357 memory: 18108 grad_norm: 2.9706 loss: 4.6385 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.8095 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.8290 2023/02/01 04:27:14 - mmengine - INFO - Epoch(train) [72][1360/1879] lr: 9.3043e-02 eta: 2 days, 0:58:54 time: 0.5011 data_time: 0.0344 memory: 18108 grad_norm: 2.9762 loss: 4.4508 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5374 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.9133 2023/02/01 04:27:24 - mmengine - INFO - Epoch(train) [72][1380/1879] lr: 9.3039e-02 eta: 2 days, 0:58:44 time: 0.5020 data_time: 0.0350 memory: 18108 grad_norm: 3.0275 loss: 4.4687 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6468 top1_acc_1: 0.5294 top5_acc_1: 0.6824 loss_cls_1: 1.8219 2023/02/01 04:27:34 - mmengine - INFO - Epoch(train) [72][1400/1879] lr: 9.3035e-02 eta: 2 days, 0:58:34 time: 0.5083 data_time: 0.0411 memory: 18108 grad_norm: 3.0058 loss: 4.6319 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.7138 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.9181 2023/02/01 04:27:45 - mmengine - INFO - Epoch(train) [72][1420/1879] lr: 9.3032e-02 eta: 2 days, 0:58:24 time: 0.5139 data_time: 0.0339 memory: 18108 grad_norm: 2.9729 loss: 4.4770 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.5778 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8992 2023/02/01 04:27:55 - mmengine - INFO - Epoch(train) [72][1440/1879] lr: 9.3028e-02 eta: 2 days, 0:58:13 time: 0.5027 data_time: 0.0330 memory: 18108 grad_norm: 2.9776 loss: 4.5096 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5933 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.9163 2023/02/01 04:28:05 - mmengine - INFO - Epoch(train) [72][1460/1879] lr: 9.3024e-02 eta: 2 days, 0:58:03 time: 0.5156 data_time: 0.0358 memory: 18108 grad_norm: 2.9795 loss: 4.4327 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4427 top1_acc_1: 0.6588 top5_acc_1: 0.7412 loss_cls_1: 1.9900 2023/02/01 04:28:15 - mmengine - INFO - Epoch(train) [72][1480/1879] lr: 9.3020e-02 eta: 2 days, 0:57:53 time: 0.5002 data_time: 0.0314 memory: 18108 grad_norm: 2.9828 loss: 4.3528 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4556 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8972 2023/02/01 04:28:25 - mmengine - INFO - Epoch(train) [72][1500/1879] lr: 9.3016e-02 eta: 2 days, 0:57:43 time: 0.5141 data_time: 0.0334 memory: 18108 grad_norm: 3.0453 loss: 4.5971 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6351 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9621 2023/02/01 04:28:35 - mmengine - INFO - Epoch(train) [72][1520/1879] lr: 9.3012e-02 eta: 2 days, 0:57:32 time: 0.4932 data_time: 0.0322 memory: 18108 grad_norm: 2.9775 loss: 4.6305 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6189 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 2.0116 2023/02/01 04:28:45 - mmengine - INFO - Epoch(train) [72][1540/1879] lr: 9.3009e-02 eta: 2 days, 0:57:21 time: 0.5007 data_time: 0.0348 memory: 18108 grad_norm: 2.9803 loss: 4.3599 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4782 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8817 2023/02/01 04:28:56 - mmengine - INFO - Epoch(train) [72][1560/1879] lr: 9.3005e-02 eta: 2 days, 0:57:11 time: 0.5163 data_time: 0.0321 memory: 18108 grad_norm: 3.0126 loss: 4.4944 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5537 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.9407 2023/02/01 04:29:06 - mmengine - INFO - Epoch(train) [72][1580/1879] lr: 9.3001e-02 eta: 2 days, 0:57:00 time: 0.4985 data_time: 0.0361 memory: 18108 grad_norm: 3.0378 loss: 4.5984 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6206 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.9778 2023/02/01 04:29:11 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 04:29:16 - mmengine - INFO - Epoch(train) [72][1600/1879] lr: 9.2997e-02 eta: 2 days, 0:56:50 time: 0.5116 data_time: 0.0323 memory: 18108 grad_norm: 2.9642 loss: 4.4497 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4993 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.9503 2023/02/01 04:29:26 - mmengine - INFO - Epoch(train) [72][1620/1879] lr: 9.2993e-02 eta: 2 days, 0:56:41 time: 0.5205 data_time: 0.0328 memory: 18108 grad_norm: 2.9073 loss: 4.6245 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6541 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9704 2023/02/01 04:29:36 - mmengine - INFO - Epoch(train) [72][1640/1879] lr: 9.2989e-02 eta: 2 days, 0:56:31 time: 0.5067 data_time: 0.0330 memory: 18108 grad_norm: 2.9811 loss: 4.2735 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3736 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.8999 2023/02/01 04:29:47 - mmengine - INFO - Epoch(train) [72][1660/1879] lr: 9.2986e-02 eta: 2 days, 0:56:21 time: 0.5178 data_time: 0.0328 memory: 18108 grad_norm: 3.0206 loss: 4.7476 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8641 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8834 2023/02/01 04:29:58 - mmengine - INFO - Epoch(train) [72][1680/1879] lr: 9.2982e-02 eta: 2 days, 0:56:12 time: 0.5447 data_time: 0.0326 memory: 18108 grad_norm: 2.9897 loss: 4.6918 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7207 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.9712 2023/02/01 04:30:08 - mmengine - INFO - Epoch(train) [72][1700/1879] lr: 9.2978e-02 eta: 2 days, 0:56:02 time: 0.5136 data_time: 0.0401 memory: 18108 grad_norm: 3.0259 loss: 4.7142 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.7248 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.9894 2023/02/01 04:30:19 - mmengine - INFO - Epoch(train) [72][1720/1879] lr: 9.2974e-02 eta: 2 days, 0:55:53 time: 0.5322 data_time: 0.0344 memory: 18108 grad_norm: 2.9273 loss: 4.4618 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.4836 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.9782 2023/02/01 04:30:29 - mmengine - INFO - Epoch(train) [72][1740/1879] lr: 9.2970e-02 eta: 2 days, 0:55:44 time: 0.5236 data_time: 0.0336 memory: 18108 grad_norm: 2.9069 loss: 4.3116 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4430 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.8686 2023/02/01 04:30:40 - mmengine - INFO - Epoch(train) [72][1760/1879] lr: 9.2966e-02 eta: 2 days, 0:55:35 time: 0.5242 data_time: 0.0321 memory: 18108 grad_norm: 2.9446 loss: 4.5797 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6759 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.9037 2023/02/01 04:30:50 - mmengine - INFO - Epoch(train) [72][1780/1879] lr: 9.2962e-02 eta: 2 days, 0:55:25 time: 0.5275 data_time: 0.0364 memory: 18108 grad_norm: 2.9405 loss: 4.3353 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4775 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.8578 2023/02/01 04:31:01 - mmengine - INFO - Epoch(train) [72][1800/1879] lr: 9.2959e-02 eta: 2 days, 0:55:16 time: 0.5209 data_time: 0.0311 memory: 18108 grad_norm: 2.9924 loss: 4.5456 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7009 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8447 2023/02/01 04:31:11 - mmengine - INFO - Epoch(train) [72][1820/1879] lr: 9.2955e-02 eta: 2 days, 0:55:07 time: 0.5294 data_time: 0.0341 memory: 18108 grad_norm: 3.0228 loss: 4.3222 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4216 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9006 2023/02/01 04:31:22 - mmengine - INFO - Epoch(train) [72][1840/1879] lr: 9.2951e-02 eta: 2 days, 0:54:57 time: 0.5158 data_time: 0.0327 memory: 18108 grad_norm: 2.9752 loss: 4.6422 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7149 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 1.9273 2023/02/01 04:31:32 - mmengine - INFO - Epoch(train) [72][1860/1879] lr: 9.2947e-02 eta: 2 days, 0:54:48 time: 0.5327 data_time: 0.0328 memory: 18108 grad_norm: 2.9434 loss: 4.5454 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6325 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.9129 2023/02/01 04:31:42 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 04:31:42 - mmengine - INFO - Epoch(train) [72][1879/1879] lr: 9.2943e-02 eta: 2 days, 0:54:38 time: 0.4987 data_time: 0.0276 memory: 18108 grad_norm: 3.0706 loss: 4.4433 top1_acc_0: 0.2857 top5_acc_0: 0.7143 loss_cls_0: 2.5431 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9002 2023/02/01 04:31:42 - mmengine - INFO - Saving checkpoint at 72 epochs 2023/02/01 04:31:53 - mmengine - INFO - Epoch(val) [72][ 20/155] eta: 0:01:01 time: 0.4562 data_time: 0.3384 memory: 1906 2023/02/01 04:32:02 - mmengine - INFO - Epoch(val) [72][ 40/155] eta: 0:00:51 time: 0.4403 data_time: 0.3281 memory: 1906 2023/02/01 04:32:10 - mmengine - INFO - Epoch(val) [72][ 60/155] eta: 0:00:41 time: 0.4186 data_time: 0.3069 memory: 1906 2023/02/01 04:32:19 - mmengine - INFO - Epoch(val) [72][ 80/155] eta: 0:00:33 time: 0.4653 data_time: 0.3539 memory: 1906 2023/02/01 04:32:28 - mmengine - INFO - Epoch(val) [72][100/155] eta: 0:00:24 time: 0.4484 data_time: 0.3370 memory: 1906 2023/02/01 04:32:38 - mmengine - INFO - Epoch(val) [72][120/155] eta: 0:00:15 time: 0.4637 data_time: 0.3530 memory: 1906 2023/02/01 04:32:46 - mmengine - INFO - Epoch(val) [72][140/155] eta: 0:00:06 time: 0.4343 data_time: 0.3242 memory: 1906 2023/02/01 04:32:54 - mmengine - INFO - Epoch(val) [72][155/155] acc/top1: 0.4454 acc/top5: 0.7047 acc/mean1: 0.4453 2023/02/01 04:33:08 - mmengine - INFO - Epoch(train) [73][ 20/1879] lr: 9.2939e-02 eta: 2 days, 0:54:38 time: 0.7155 data_time: 0.2612 memory: 18108 grad_norm: 3.0190 loss: 4.6233 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7900 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8333 2023/02/01 04:33:18 - mmengine - INFO - Epoch(train) [73][ 40/1879] lr: 9.2936e-02 eta: 2 days, 0:54:26 time: 0.4672 data_time: 0.0330 memory: 18108 grad_norm: 3.0242 loss: 4.4099 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5487 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8612 2023/02/01 04:33:27 - mmengine - INFO - Epoch(train) [73][ 60/1879] lr: 9.2932e-02 eta: 2 days, 0:54:14 time: 0.4747 data_time: 0.0384 memory: 18108 grad_norm: 2.9438 loss: 4.4800 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5872 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8929 2023/02/01 04:33:37 - mmengine - INFO - Epoch(train) [73][ 80/1879] lr: 9.2928e-02 eta: 2 days, 0:54:04 time: 0.5163 data_time: 0.0429 memory: 18108 grad_norm: 2.9780 loss: 4.4673 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7223 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7449 2023/02/01 04:33:47 - mmengine - INFO - Epoch(train) [73][ 100/1879] lr: 9.2924e-02 eta: 2 days, 0:53:52 time: 0.4735 data_time: 0.0383 memory: 18108 grad_norm: 2.9731 loss: 4.3238 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4973 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.8265 2023/02/01 04:33:56 - mmengine - INFO - Epoch(train) [73][ 120/1879] lr: 9.2920e-02 eta: 2 days, 0:53:39 time: 0.4637 data_time: 0.0320 memory: 18108 grad_norm: 3.0285 loss: 4.4359 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6115 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8244 2023/02/01 04:34:06 - mmengine - INFO - Epoch(train) [73][ 140/1879] lr: 9.2916e-02 eta: 2 days, 0:53:28 time: 0.4851 data_time: 0.0384 memory: 18108 grad_norm: 3.0060 loss: 4.5049 top1_acc_0: 0.1875 top5_acc_0: 0.7500 loss_cls_0: 2.6342 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8707 2023/02/01 04:34:15 - mmengine - INFO - Epoch(train) [73][ 160/1879] lr: 9.2912e-02 eta: 2 days, 0:53:16 time: 0.4821 data_time: 0.0322 memory: 18108 grad_norm: 2.9701 loss: 4.3084 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4791 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.8293 2023/02/01 04:34:25 - mmengine - INFO - Epoch(train) [73][ 180/1879] lr: 9.2909e-02 eta: 2 days, 0:53:05 time: 0.4798 data_time: 0.0382 memory: 18108 grad_norm: 3.0437 loss: 4.4470 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5554 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8916 2023/02/01 04:34:35 - mmengine - INFO - Epoch(train) [73][ 200/1879] lr: 9.2905e-02 eta: 2 days, 0:52:53 time: 0.4711 data_time: 0.0338 memory: 18108 grad_norm: 2.9776 loss: 4.6784 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7674 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 1.9111 2023/02/01 04:34:45 - mmengine - INFO - Epoch(train) [73][ 220/1879] lr: 9.2901e-02 eta: 2 days, 0:52:42 time: 0.5038 data_time: 0.0412 memory: 18108 grad_norm: 3.0127 loss: 4.6239 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6600 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9639 2023/02/01 04:34:54 - mmengine - INFO - Epoch(train) [73][ 240/1879] lr: 9.2897e-02 eta: 2 days, 0:52:30 time: 0.4796 data_time: 0.0349 memory: 18108 grad_norm: 2.9806 loss: 4.4575 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6243 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.8332 2023/02/01 04:35:04 - mmengine - INFO - Epoch(train) [73][ 260/1879] lr: 9.2893e-02 eta: 2 days, 0:52:19 time: 0.4804 data_time: 0.0332 memory: 18108 grad_norm: 3.0256 loss: 4.5003 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.6063 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.8939 2023/02/01 04:35:13 - mmengine - INFO - Epoch(train) [73][ 280/1879] lr: 9.2889e-02 eta: 2 days, 0:52:07 time: 0.4735 data_time: 0.0418 memory: 18108 grad_norm: 3.1115 loss: 4.7512 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7610 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.9902 2023/02/01 04:35:23 - mmengine - INFO - Epoch(train) [73][ 300/1879] lr: 9.2885e-02 eta: 2 days, 0:51:56 time: 0.4958 data_time: 0.0346 memory: 18108 grad_norm: 3.0423 loss: 4.4405 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.6705 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7701 2023/02/01 04:35:33 - mmengine - INFO - Epoch(train) [73][ 320/1879] lr: 9.2882e-02 eta: 2 days, 0:51:44 time: 0.4769 data_time: 0.0317 memory: 18108 grad_norm: 3.0260 loss: 4.5410 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6432 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.8978 2023/02/01 04:35:43 - mmengine - INFO - Epoch(train) [73][ 340/1879] lr: 9.2878e-02 eta: 2 days, 0:51:33 time: 0.4959 data_time: 0.0422 memory: 18108 grad_norm: 2.9691 loss: 4.4377 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5259 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 1.9118 2023/02/01 04:35:53 - mmengine - INFO - Epoch(train) [73][ 360/1879] lr: 9.2874e-02 eta: 2 days, 0:51:22 time: 0.4922 data_time: 0.0382 memory: 18108 grad_norm: 2.9942 loss: 4.4957 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6613 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.8344 2023/02/01 04:36:02 - mmengine - INFO - Epoch(train) [73][ 380/1879] lr: 9.2870e-02 eta: 2 days, 0:51:11 time: 0.4940 data_time: 0.0287 memory: 18108 grad_norm: 2.9701 loss: 4.3139 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.4862 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.8277 2023/02/01 04:36:12 - mmengine - INFO - Epoch(train) [73][ 400/1879] lr: 9.2866e-02 eta: 2 days, 0:51:00 time: 0.4816 data_time: 0.0384 memory: 18108 grad_norm: 3.0461 loss: 4.5304 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6596 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.8707 2023/02/01 04:36:22 - mmengine - INFO - Epoch(train) [73][ 420/1879] lr: 9.2862e-02 eta: 2 days, 0:50:49 time: 0.4959 data_time: 0.0371 memory: 18108 grad_norm: 2.9895 loss: 4.5417 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6179 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 1.9238 2023/02/01 04:36:32 - mmengine - INFO - Epoch(train) [73][ 440/1879] lr: 9.2858e-02 eta: 2 days, 0:50:38 time: 0.5049 data_time: 0.0385 memory: 18108 grad_norm: 2.9762 loss: 4.3429 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4736 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.8693 2023/02/01 04:36:42 - mmengine - INFO - Epoch(train) [73][ 460/1879] lr: 9.2854e-02 eta: 2 days, 0:50:28 time: 0.5027 data_time: 0.0313 memory: 18108 grad_norm: 3.0246 loss: 4.3924 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5546 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.8378 2023/02/01 04:36:52 - mmengine - INFO - Epoch(train) [73][ 480/1879] lr: 9.2850e-02 eta: 2 days, 0:50:18 time: 0.5089 data_time: 0.0439 memory: 18108 grad_norm: 2.9485 loss: 4.3714 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5241 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.8472 2023/02/01 04:37:03 - mmengine - INFO - Epoch(train) [73][ 500/1879] lr: 9.2847e-02 eta: 2 days, 0:50:07 time: 0.5076 data_time: 0.0290 memory: 18108 grad_norm: 2.9794 loss: 4.6735 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.7506 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.9229 2023/02/01 04:37:13 - mmengine - INFO - Epoch(train) [73][ 520/1879] lr: 9.2843e-02 eta: 2 days, 0:49:57 time: 0.5063 data_time: 0.0354 memory: 18108 grad_norm: 2.9897 loss: 4.5959 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6690 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 1.9268 2023/02/01 04:37:23 - mmengine - INFO - Epoch(train) [73][ 540/1879] lr: 9.2839e-02 eta: 2 days, 0:49:47 time: 0.5060 data_time: 0.0369 memory: 18108 grad_norm: 2.9758 loss: 4.3462 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.4106 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.9355 2023/02/01 04:37:33 - mmengine - INFO - Epoch(train) [73][ 560/1879] lr: 9.2835e-02 eta: 2 days, 0:49:36 time: 0.5078 data_time: 0.0367 memory: 18108 grad_norm: 2.9981 loss: 4.4045 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.5697 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8348 2023/02/01 04:37:43 - mmengine - INFO - Epoch(train) [73][ 580/1879] lr: 9.2831e-02 eta: 2 days, 0:49:26 time: 0.5064 data_time: 0.0288 memory: 18108 grad_norm: 2.9837 loss: 4.4348 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5614 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8733 2023/02/01 04:37:53 - mmengine - INFO - Epoch(train) [73][ 600/1879] lr: 9.2827e-02 eta: 2 days, 0:49:15 time: 0.5000 data_time: 0.0358 memory: 18108 grad_norm: 2.9883 loss: 4.6344 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7532 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.8811 2023/02/01 04:38:03 - mmengine - INFO - Epoch(train) [73][ 620/1879] lr: 9.2823e-02 eta: 2 days, 0:49:05 time: 0.5105 data_time: 0.0301 memory: 18108 grad_norm: 3.0026 loss: 4.6263 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6836 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.9427 2023/02/01 04:38:13 - mmengine - INFO - Epoch(train) [73][ 640/1879] lr: 9.2819e-02 eta: 2 days, 0:48:55 time: 0.5062 data_time: 0.0353 memory: 18108 grad_norm: 3.0172 loss: 4.6699 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7695 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.9003 2023/02/01 04:38:24 - mmengine - INFO - Epoch(train) [73][ 660/1879] lr: 9.2816e-02 eta: 2 days, 0:48:45 time: 0.5123 data_time: 0.0294 memory: 18108 grad_norm: 3.0079 loss: 4.5065 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6805 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.8260 2023/02/01 04:38:34 - mmengine - INFO - Epoch(train) [73][ 680/1879] lr: 9.2812e-02 eta: 2 days, 0:48:35 time: 0.5120 data_time: 0.0432 memory: 18108 grad_norm: 2.9903 loss: 4.2622 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4564 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8058 2023/02/01 04:38:44 - mmengine - INFO - Epoch(train) [73][ 700/1879] lr: 9.2808e-02 eta: 2 days, 0:48:25 time: 0.5170 data_time: 0.0273 memory: 18108 grad_norm: 3.0174 loss: 4.5932 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6883 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.9049 2023/02/01 04:38:50 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 04:38:54 - mmengine - INFO - Epoch(train) [73][ 720/1879] lr: 9.2804e-02 eta: 2 days, 0:48:15 time: 0.5050 data_time: 0.0360 memory: 18108 grad_norm: 2.9552 loss: 4.6602 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.6889 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 1.9713 2023/02/01 04:39:05 - mmengine - INFO - Epoch(train) [73][ 740/1879] lr: 9.2800e-02 eta: 2 days, 0:48:04 time: 0.5090 data_time: 0.0289 memory: 18108 grad_norm: 3.0574 loss: 4.5429 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6149 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9280 2023/02/01 04:39:15 - mmengine - INFO - Epoch(train) [73][ 760/1879] lr: 9.2796e-02 eta: 2 days, 0:47:54 time: 0.5129 data_time: 0.0424 memory: 18108 grad_norm: 3.0085 loss: 4.4708 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5667 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 1.9040 2023/02/01 04:39:25 - mmengine - INFO - Epoch(train) [73][ 780/1879] lr: 9.2792e-02 eta: 2 days, 0:47:44 time: 0.5098 data_time: 0.0291 memory: 18108 grad_norm: 3.0200 loss: 4.6844 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7582 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.9261 2023/02/01 04:39:35 - mmengine - INFO - Epoch(train) [73][ 800/1879] lr: 9.2788e-02 eta: 2 days, 0:47:34 time: 0.5145 data_time: 0.0362 memory: 18108 grad_norm: 3.0306 loss: 4.6569 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8251 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8318 2023/02/01 04:39:46 - mmengine - INFO - Epoch(train) [73][ 820/1879] lr: 9.2784e-02 eta: 2 days, 0:47:25 time: 0.5233 data_time: 0.0368 memory: 18108 grad_norm: 2.9711 loss: 4.6908 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7860 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.9048 2023/02/01 04:39:56 - mmengine - INFO - Epoch(train) [73][ 840/1879] lr: 9.2780e-02 eta: 2 days, 0:47:15 time: 0.5209 data_time: 0.0348 memory: 18108 grad_norm: 3.0139 loss: 4.7277 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7139 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.0138 2023/02/01 04:40:07 - mmengine - INFO - Epoch(train) [73][ 860/1879] lr: 9.2777e-02 eta: 2 days, 0:47:05 time: 0.5149 data_time: 0.0288 memory: 18108 grad_norm: 2.9840 loss: 4.6056 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6235 top1_acc_1: 0.5882 top5_acc_1: 0.8941 loss_cls_1: 1.9821 2023/02/01 04:40:17 - mmengine - INFO - Epoch(train) [73][ 880/1879] lr: 9.2773e-02 eta: 2 days, 0:46:55 time: 0.5104 data_time: 0.0415 memory: 18108 grad_norm: 3.0901 loss: 4.4503 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5705 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8799 2023/02/01 04:40:27 - mmengine - INFO - Epoch(train) [73][ 900/1879] lr: 9.2769e-02 eta: 2 days, 0:46:45 time: 0.5123 data_time: 0.0309 memory: 18108 grad_norm: 3.0128 loss: 4.5271 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.6506 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8765 2023/02/01 04:40:37 - mmengine - INFO - Epoch(train) [73][ 920/1879] lr: 9.2765e-02 eta: 2 days, 0:46:35 time: 0.5175 data_time: 0.0361 memory: 18108 grad_norm: 3.0141 loss: 4.7121 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8732 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.8389 2023/02/01 04:40:48 - mmengine - INFO - Epoch(train) [73][ 940/1879] lr: 9.2761e-02 eta: 2 days, 0:46:25 time: 0.5106 data_time: 0.0380 memory: 18108 grad_norm: 2.9532 loss: 4.5640 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6585 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.9056 2023/02/01 04:40:58 - mmengine - INFO - Epoch(train) [73][ 960/1879] lr: 9.2757e-02 eta: 2 days, 0:46:15 time: 0.5091 data_time: 0.0329 memory: 18108 grad_norm: 3.0002 loss: 4.3695 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5112 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.8583 2023/02/01 04:41:08 - mmengine - INFO - Epoch(train) [73][ 980/1879] lr: 9.2753e-02 eta: 2 days, 0:46:05 time: 0.5080 data_time: 0.0333 memory: 18108 grad_norm: 2.9400 loss: 4.5907 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6105 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.9802 2023/02/01 04:41:18 - mmengine - INFO - Epoch(train) [73][1000/1879] lr: 9.2749e-02 eta: 2 days, 0:45:54 time: 0.4928 data_time: 0.0335 memory: 18108 grad_norm: 3.0104 loss: 4.5655 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6678 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.8977 2023/02/01 04:41:28 - mmengine - INFO - Epoch(train) [73][1020/1879] lr: 9.2745e-02 eta: 2 days, 0:45:44 time: 0.5148 data_time: 0.0401 memory: 18108 grad_norm: 3.0433 loss: 4.4517 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5269 top1_acc_1: 0.4471 top5_acc_1: 0.7176 loss_cls_1: 1.9248 2023/02/01 04:41:38 - mmengine - INFO - Epoch(train) [73][1040/1879] lr: 9.2741e-02 eta: 2 days, 0:45:34 time: 0.5086 data_time: 0.0308 memory: 18108 grad_norm: 3.0564 loss: 4.5809 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6157 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9653 2023/02/01 04:41:49 - mmengine - INFO - Epoch(train) [73][1060/1879] lr: 9.2738e-02 eta: 2 days, 0:45:23 time: 0.5053 data_time: 0.0330 memory: 18108 grad_norm: 3.0049 loss: 4.4332 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5967 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8365 2023/02/01 04:41:59 - mmengine - INFO - Epoch(train) [73][1080/1879] lr: 9.2734e-02 eta: 2 days, 0:45:13 time: 0.5023 data_time: 0.0343 memory: 18108 grad_norm: 2.9961 loss: 4.6078 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7232 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.8846 2023/02/01 04:42:09 - mmengine - INFO - Epoch(train) [73][1100/1879] lr: 9.2730e-02 eta: 2 days, 0:45:02 time: 0.5027 data_time: 0.0339 memory: 18108 grad_norm: 2.9969 loss: 4.2929 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3814 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 1.9115 2023/02/01 04:42:19 - mmengine - INFO - Epoch(train) [73][1120/1879] lr: 9.2726e-02 eta: 2 days, 0:44:52 time: 0.5071 data_time: 0.0322 memory: 18108 grad_norm: 2.9743 loss: 4.5891 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6779 top1_acc_1: 0.4941 top5_acc_1: 0.6941 loss_cls_1: 1.9112 2023/02/01 04:42:29 - mmengine - INFO - Epoch(train) [73][1140/1879] lr: 9.2722e-02 eta: 2 days, 0:44:42 time: 0.5062 data_time: 0.0326 memory: 18108 grad_norm: 2.9794 loss: 4.5671 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 2.6142 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.9528 2023/02/01 04:42:39 - mmengine - INFO - Epoch(train) [73][1160/1879] lr: 9.2718e-02 eta: 2 days, 0:44:31 time: 0.5066 data_time: 0.0411 memory: 18108 grad_norm: 3.0148 loss: 4.6149 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7291 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8858 2023/02/01 04:42:49 - mmengine - INFO - Epoch(train) [73][1180/1879] lr: 9.2714e-02 eta: 2 days, 0:44:21 time: 0.5132 data_time: 0.0318 memory: 18108 grad_norm: 2.9226 loss: 4.6016 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7679 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8337 2023/02/01 04:42:59 - mmengine - INFO - Epoch(train) [73][1200/1879] lr: 9.2710e-02 eta: 2 days, 0:44:10 time: 0.4895 data_time: 0.0320 memory: 18108 grad_norm: 3.0490 loss: 4.5955 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7265 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.8690 2023/02/01 04:43:09 - mmengine - INFO - Epoch(train) [73][1220/1879] lr: 9.2706e-02 eta: 2 days, 0:44:00 time: 0.5144 data_time: 0.0424 memory: 18108 grad_norm: 2.9990 loss: 4.3880 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.5203 top1_acc_1: 0.4706 top5_acc_1: 0.7882 loss_cls_1: 1.8678 2023/02/01 04:43:19 - mmengine - INFO - Epoch(train) [73][1240/1879] lr: 9.2702e-02 eta: 2 days, 0:43:50 time: 0.4989 data_time: 0.0326 memory: 18108 grad_norm: 2.9544 loss: 4.3505 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4728 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8777 2023/02/01 04:43:30 - mmengine - INFO - Epoch(train) [73][1260/1879] lr: 9.2698e-02 eta: 2 days, 0:43:39 time: 0.5095 data_time: 0.0340 memory: 18108 grad_norm: 2.9239 loss: 4.6449 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6201 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 2.0249 2023/02/01 04:43:39 - mmengine - INFO - Epoch(train) [73][1280/1879] lr: 9.2694e-02 eta: 2 days, 0:43:28 time: 0.4916 data_time: 0.0346 memory: 18108 grad_norm: 2.9779 loss: 4.5654 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5430 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 2.0224 2023/02/01 04:43:50 - mmengine - INFO - Epoch(train) [73][1300/1879] lr: 9.2691e-02 eta: 2 days, 0:43:18 time: 0.5145 data_time: 0.0313 memory: 18108 grad_norm: 3.0068 loss: 4.5704 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7118 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.8587 2023/02/01 04:44:00 - mmengine - INFO - Epoch(train) [73][1320/1879] lr: 9.2687e-02 eta: 2 days, 0:43:08 time: 0.5065 data_time: 0.0331 memory: 18108 grad_norm: 3.0289 loss: 4.5631 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6988 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8643 2023/02/01 04:44:10 - mmengine - INFO - Epoch(train) [73][1340/1879] lr: 9.2683e-02 eta: 2 days, 0:42:57 time: 0.5006 data_time: 0.0341 memory: 18108 grad_norm: 3.0636 loss: 4.8162 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9100 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.9062 2023/02/01 04:44:20 - mmengine - INFO - Epoch(train) [73][1360/1879] lr: 9.2679e-02 eta: 2 days, 0:42:47 time: 0.4990 data_time: 0.0392 memory: 18108 grad_norm: 2.9888 loss: 4.4370 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5369 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.9001 2023/02/01 04:44:30 - mmengine - INFO - Epoch(train) [73][1380/1879] lr: 9.2675e-02 eta: 2 days, 0:42:37 time: 0.5087 data_time: 0.0311 memory: 18108 grad_norm: 3.0035 loss: 4.6089 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6925 top1_acc_1: 0.4471 top5_acc_1: 0.7412 loss_cls_1: 1.9163 2023/02/01 04:44:40 - mmengine - INFO - Epoch(train) [73][1400/1879] lr: 9.2671e-02 eta: 2 days, 0:42:26 time: 0.4967 data_time: 0.0324 memory: 18108 grad_norm: 2.9431 loss: 4.6278 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.7591 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.8687 2023/02/01 04:44:50 - mmengine - INFO - Epoch(train) [73][1420/1879] lr: 9.2667e-02 eta: 2 days, 0:42:15 time: 0.5028 data_time: 0.0385 memory: 18108 grad_norm: 3.0137 loss: 4.3806 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5074 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8732 2023/02/01 04:45:00 - mmengine - INFO - Epoch(train) [73][1440/1879] lr: 9.2663e-02 eta: 2 days, 0:42:05 time: 0.5052 data_time: 0.0336 memory: 18108 grad_norm: 3.0571 loss: 4.8736 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.9619 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9117 2023/02/01 04:45:10 - mmengine - INFO - Epoch(train) [73][1460/1879] lr: 9.2659e-02 eta: 2 days, 0:41:54 time: 0.5034 data_time: 0.0328 memory: 18108 grad_norm: 3.0791 loss: 4.4603 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.5699 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.8904 2023/02/01 04:45:20 - mmengine - INFO - Epoch(train) [73][1480/1879] lr: 9.2655e-02 eta: 2 days, 0:41:44 time: 0.5008 data_time: 0.0396 memory: 18108 grad_norm: 2.9813 loss: 4.5946 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5879 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 2.0067 2023/02/01 04:45:30 - mmengine - INFO - Epoch(train) [73][1500/1879] lr: 9.2651e-02 eta: 2 days, 0:41:33 time: 0.5016 data_time: 0.0329 memory: 18108 grad_norm: 2.9734 loss: 4.3252 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3845 top1_acc_1: 0.5294 top5_acc_1: 0.8471 loss_cls_1: 1.9407 2023/02/01 04:45:41 - mmengine - INFO - Epoch(train) [73][1520/1879] lr: 9.2647e-02 eta: 2 days, 0:41:23 time: 0.5070 data_time: 0.0316 memory: 18108 grad_norm: 2.9844 loss: 4.5660 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.5655 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 2.0006 2023/02/01 04:45:50 - mmengine - INFO - Epoch(train) [73][1540/1879] lr: 9.2643e-02 eta: 2 days, 0:41:12 time: 0.4983 data_time: 0.0342 memory: 18108 grad_norm: 3.0507 loss: 4.7871 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8783 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.9088 2023/02/01 04:46:01 - mmengine - INFO - Epoch(train) [73][1560/1879] lr: 9.2640e-02 eta: 2 days, 0:41:02 time: 0.5142 data_time: 0.0467 memory: 18108 grad_norm: 2.9671 loss: 4.6819 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7857 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8962 2023/02/01 04:46:11 - mmengine - INFO - Epoch(train) [73][1580/1879] lr: 9.2636e-02 eta: 2 days, 0:40:52 time: 0.5006 data_time: 0.0334 memory: 18108 grad_norm: 2.9926 loss: 4.3959 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4253 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.9706 2023/02/01 04:46:21 - mmengine - INFO - Epoch(train) [73][1600/1879] lr: 9.2632e-02 eta: 2 days, 0:40:41 time: 0.5066 data_time: 0.0322 memory: 18108 grad_norm: 3.0112 loss: 4.5864 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6503 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.9361 2023/02/01 04:46:31 - mmengine - INFO - Epoch(train) [73][1620/1879] lr: 9.2628e-02 eta: 2 days, 0:40:31 time: 0.5133 data_time: 0.0443 memory: 18108 grad_norm: 2.9856 loss: 4.4697 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6135 top1_acc_1: 0.5059 top5_acc_1: 0.7059 loss_cls_1: 1.8562 2023/02/01 04:46:41 - mmengine - INFO - Epoch(train) [73][1640/1879] lr: 9.2624e-02 eta: 2 days, 0:40:21 time: 0.5008 data_time: 0.0323 memory: 18108 grad_norm: 2.9998 loss: 4.2265 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4322 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7943 2023/02/01 04:46:51 - mmengine - INFO - Epoch(train) [73][1660/1879] lr: 9.2620e-02 eta: 2 days, 0:40:10 time: 0.5039 data_time: 0.0350 memory: 18108 grad_norm: 3.0186 loss: 4.3357 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4391 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.8966 2023/02/01 04:47:01 - mmengine - INFO - Epoch(train) [73][1680/1879] lr: 9.2616e-02 eta: 2 days, 0:40:00 time: 0.4988 data_time: 0.0315 memory: 18108 grad_norm: 2.9638 loss: 4.8234 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7745 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.0489 2023/02/01 04:47:12 - mmengine - INFO - Epoch(train) [73][1700/1879] lr: 9.2612e-02 eta: 2 days, 0:39:50 time: 0.5178 data_time: 0.0336 memory: 18108 grad_norm: 2.9285 loss: 4.5733 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6801 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.8933 2023/02/01 04:47:18 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 04:47:22 - mmengine - INFO - Epoch(train) [73][1720/1879] lr: 9.2608e-02 eta: 2 days, 0:39:39 time: 0.4954 data_time: 0.0325 memory: 18108 grad_norm: 3.0637 loss: 4.6027 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7502 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.8525 2023/02/01 04:47:32 - mmengine - INFO - Epoch(train) [73][1740/1879] lr: 9.2604e-02 eta: 2 days, 0:39:28 time: 0.4999 data_time: 0.0341 memory: 18108 grad_norm: 2.9814 loss: 4.3882 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5213 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.8669 2023/02/01 04:47:42 - mmengine - INFO - Epoch(train) [73][1760/1879] lr: 9.2600e-02 eta: 2 days, 0:39:17 time: 0.4962 data_time: 0.0322 memory: 18108 grad_norm: 3.0632 loss: 4.6013 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6757 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.9257 2023/02/01 04:47:52 - mmengine - INFO - Epoch(train) [73][1780/1879] lr: 9.2596e-02 eta: 2 days, 0:39:07 time: 0.5047 data_time: 0.0341 memory: 18108 grad_norm: 2.9780 loss: 4.8338 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9377 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.8961 2023/02/01 04:48:02 - mmengine - INFO - Epoch(train) [73][1800/1879] lr: 9.2592e-02 eta: 2 days, 0:38:57 time: 0.5041 data_time: 0.0334 memory: 18108 grad_norm: 2.9665 loss: 4.3995 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5299 top1_acc_1: 0.4941 top5_acc_1: 0.8118 loss_cls_1: 1.8696 2023/02/01 04:48:12 - mmengine - INFO - Epoch(train) [73][1820/1879] lr: 9.2588e-02 eta: 2 days, 0:38:46 time: 0.5042 data_time: 0.0325 memory: 18108 grad_norm: 2.9102 loss: 4.6912 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7293 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9619 2023/02/01 04:48:22 - mmengine - INFO - Epoch(train) [73][1840/1879] lr: 9.2584e-02 eta: 2 days, 0:38:36 time: 0.5086 data_time: 0.0395 memory: 18108 grad_norm: 3.0081 loss: 4.4285 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6220 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.8066 2023/02/01 04:48:32 - mmengine - INFO - Epoch(train) [73][1860/1879] lr: 9.2580e-02 eta: 2 days, 0:38:25 time: 0.5012 data_time: 0.0333 memory: 18108 grad_norm: 3.0835 loss: 4.5688 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5434 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 2.0254 2023/02/01 04:48:41 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 04:48:41 - mmengine - INFO - Epoch(train) [73][1879/1879] lr: 9.2577e-02 eta: 2 days, 0:38:14 time: 0.4865 data_time: 0.0295 memory: 18108 grad_norm: 3.0153 loss: 4.8874 top1_acc_0: 0.5714 top5_acc_0: 0.7143 loss_cls_0: 2.9706 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.9167 2023/02/01 04:48:56 - mmengine - INFO - Epoch(train) [74][ 20/1879] lr: 9.2573e-02 eta: 2 days, 0:38:14 time: 0.7071 data_time: 0.2673 memory: 18108 grad_norm: 2.9550 loss: 4.4907 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5833 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.9074 2023/02/01 04:49:06 - mmengine - INFO - Epoch(train) [74][ 40/1879] lr: 9.2569e-02 eta: 2 days, 0:38:02 time: 0.4745 data_time: 0.0313 memory: 18108 grad_norm: 3.0039 loss: 4.4211 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6128 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.8082 2023/02/01 04:49:15 - mmengine - INFO - Epoch(train) [74][ 60/1879] lr: 9.2565e-02 eta: 2 days, 0:37:51 time: 0.4807 data_time: 0.0370 memory: 18108 grad_norm: 2.9836 loss: 4.5468 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6460 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.9008 2023/02/01 04:49:26 - mmengine - INFO - Epoch(train) [74][ 80/1879] lr: 9.2561e-02 eta: 2 days, 0:37:41 time: 0.5225 data_time: 0.0387 memory: 18108 grad_norm: 2.9930 loss: 4.3938 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4860 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.9078 2023/02/01 04:49:36 - mmengine - INFO - Epoch(train) [74][ 100/1879] lr: 9.2557e-02 eta: 2 days, 0:37:30 time: 0.4905 data_time: 0.0368 memory: 18108 grad_norm: 3.0707 loss: 4.5417 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6124 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9293 2023/02/01 04:49:45 - mmengine - INFO - Epoch(train) [74][ 120/1879] lr: 9.2553e-02 eta: 2 days, 0:37:18 time: 0.4799 data_time: 0.0335 memory: 18108 grad_norm: 3.0371 loss: 4.5978 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6950 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.9027 2023/02/01 04:49:55 - mmengine - INFO - Epoch(train) [74][ 140/1879] lr: 9.2549e-02 eta: 2 days, 0:37:07 time: 0.4955 data_time: 0.0375 memory: 18108 grad_norm: 3.0078 loss: 4.5536 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.7231 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.8305 2023/02/01 04:50:05 - mmengine - INFO - Epoch(train) [74][ 160/1879] lr: 9.2545e-02 eta: 2 days, 0:36:57 time: 0.4964 data_time: 0.0324 memory: 18108 grad_norm: 2.9721 loss: 4.5187 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6467 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.8720 2023/02/01 04:50:15 - mmengine - INFO - Epoch(train) [74][ 180/1879] lr: 9.2541e-02 eta: 2 days, 0:36:46 time: 0.4948 data_time: 0.0371 memory: 18108 grad_norm: 3.0325 loss: 4.5152 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6383 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.8769 2023/02/01 04:50:25 - mmengine - INFO - Epoch(train) [74][ 200/1879] lr: 9.2537e-02 eta: 2 days, 0:36:34 time: 0.4862 data_time: 0.0325 memory: 18108 grad_norm: 3.0626 loss: 4.4968 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6289 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.8679 2023/02/01 04:50:35 - mmengine - INFO - Epoch(train) [74][ 220/1879] lr: 9.2533e-02 eta: 2 days, 0:36:24 time: 0.4971 data_time: 0.0412 memory: 18108 grad_norm: 3.0140 loss: 4.5555 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6709 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.8847 2023/02/01 04:50:44 - mmengine - INFO - Epoch(train) [74][ 240/1879] lr: 9.2529e-02 eta: 2 days, 0:36:12 time: 0.4868 data_time: 0.0306 memory: 18108 grad_norm: 2.9668 loss: 4.5683 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6916 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.8766 2023/02/01 04:50:54 - mmengine - INFO - Epoch(train) [74][ 260/1879] lr: 9.2525e-02 eta: 2 days, 0:36:01 time: 0.4945 data_time: 0.0370 memory: 18108 grad_norm: 3.0007 loss: 4.4297 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5365 top1_acc_1: 0.6706 top5_acc_1: 0.8000 loss_cls_1: 1.8933 2023/02/01 04:51:04 - mmengine - INFO - Epoch(train) [74][ 280/1879] lr: 9.2521e-02 eta: 2 days, 0:35:50 time: 0.4793 data_time: 0.0323 memory: 18108 grad_norm: 3.0226 loss: 4.3251 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.5066 top1_acc_1: 0.5882 top5_acc_1: 0.7059 loss_cls_1: 1.8185 2023/02/01 04:51:14 - mmengine - INFO - Epoch(train) [74][ 300/1879] lr: 9.2517e-02 eta: 2 days, 0:35:40 time: 0.5096 data_time: 0.0348 memory: 18108 grad_norm: 2.9838 loss: 4.4112 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5857 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8255 2023/02/01 04:51:24 - mmengine - INFO - Epoch(train) [74][ 320/1879] lr: 9.2513e-02 eta: 2 days, 0:35:29 time: 0.4979 data_time: 0.0323 memory: 18108 grad_norm: 3.0227 loss: 4.4936 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6906 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.8030 2023/02/01 04:51:34 - mmengine - INFO - Epoch(train) [74][ 340/1879] lr: 9.2509e-02 eta: 2 days, 0:35:18 time: 0.4983 data_time: 0.0373 memory: 18108 grad_norm: 3.0403 loss: 4.4439 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5700 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.8739 2023/02/01 04:51:44 - mmengine - INFO - Epoch(train) [74][ 360/1879] lr: 9.2505e-02 eta: 2 days, 0:35:07 time: 0.4845 data_time: 0.0329 memory: 18108 grad_norm: 3.0204 loss: 4.3398 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4307 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.9091 2023/02/01 04:51:54 - mmengine - INFO - Epoch(train) [74][ 380/1879] lr: 9.2501e-02 eta: 2 days, 0:34:57 time: 0.5199 data_time: 0.0433 memory: 18108 grad_norm: 3.0074 loss: 4.3280 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4753 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.8527 2023/02/01 04:52:04 - mmengine - INFO - Epoch(train) [74][ 400/1879] lr: 9.2497e-02 eta: 2 days, 0:34:46 time: 0.4986 data_time: 0.0318 memory: 18108 grad_norm: 3.0489 loss: 4.8138 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.9299 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.8839 2023/02/01 04:52:14 - mmengine - INFO - Epoch(train) [74][ 420/1879] lr: 9.2494e-02 eta: 2 days, 0:34:35 time: 0.4939 data_time: 0.0362 memory: 18108 grad_norm: 3.0081 loss: 4.4568 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5934 top1_acc_1: 0.4824 top5_acc_1: 0.7882 loss_cls_1: 1.8634 2023/02/01 04:52:24 - mmengine - INFO - Epoch(train) [74][ 440/1879] lr: 9.2490e-02 eta: 2 days, 0:34:25 time: 0.5078 data_time: 0.0317 memory: 18108 grad_norm: 3.0326 loss: 4.4517 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4855 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9662 2023/02/01 04:52:34 - mmengine - INFO - Epoch(train) [74][ 460/1879] lr: 9.2486e-02 eta: 2 days, 0:34:15 time: 0.5095 data_time: 0.0427 memory: 18108 grad_norm: 3.0459 loss: 4.7600 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.8670 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 1.8930 2023/02/01 04:52:44 - mmengine - INFO - Epoch(train) [74][ 480/1879] lr: 9.2482e-02 eta: 2 days, 0:34:04 time: 0.4986 data_time: 0.0315 memory: 18108 grad_norm: 3.0357 loss: 4.5159 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5755 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 1.9404 2023/02/01 04:52:55 - mmengine - INFO - Epoch(train) [74][ 500/1879] lr: 9.2478e-02 eta: 2 days, 0:33:54 time: 0.5067 data_time: 0.0346 memory: 18108 grad_norm: 3.0181 loss: 4.5228 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6190 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.9038 2023/02/01 04:53:05 - mmengine - INFO - Epoch(train) [74][ 520/1879] lr: 9.2474e-02 eta: 2 days, 0:33:44 time: 0.5121 data_time: 0.0303 memory: 18108 grad_norm: 3.0529 loss: 4.5019 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6205 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8814 2023/02/01 04:53:15 - mmengine - INFO - Epoch(train) [74][ 540/1879] lr: 9.2470e-02 eta: 2 days, 0:33:34 time: 0.5100 data_time: 0.0367 memory: 18108 grad_norm: 3.0255 loss: 4.6173 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6901 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.9272 2023/02/01 04:53:25 - mmengine - INFO - Epoch(train) [74][ 560/1879] lr: 9.2466e-02 eta: 2 days, 0:33:23 time: 0.4968 data_time: 0.0316 memory: 18108 grad_norm: 2.9737 loss: 4.5433 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6139 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9295 2023/02/01 04:53:35 - mmengine - INFO - Epoch(train) [74][ 580/1879] lr: 9.2462e-02 eta: 2 days, 0:33:13 time: 0.5055 data_time: 0.0360 memory: 18108 grad_norm: 3.0107 loss: 4.3254 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.5101 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.8153 2023/02/01 04:53:45 - mmengine - INFO - Epoch(train) [74][ 600/1879] lr: 9.2458e-02 eta: 2 days, 0:33:03 time: 0.5164 data_time: 0.0399 memory: 18108 grad_norm: 2.9946 loss: 4.1837 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3970 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7866 2023/02/01 04:53:55 - mmengine - INFO - Epoch(train) [74][ 620/1879] lr: 9.2454e-02 eta: 2 days, 0:32:52 time: 0.5049 data_time: 0.0359 memory: 18108 grad_norm: 3.0224 loss: 4.5581 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6079 top1_acc_1: 0.4588 top5_acc_1: 0.6941 loss_cls_1: 1.9501 2023/02/01 04:54:06 - mmengine - INFO - Epoch(train) [74][ 640/1879] lr: 9.2450e-02 eta: 2 days, 0:32:42 time: 0.5055 data_time: 0.0329 memory: 18108 grad_norm: 2.9646 loss: 4.5348 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6401 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 1.8947 2023/02/01 04:54:16 - mmengine - INFO - Epoch(train) [74][ 660/1879] lr: 9.2446e-02 eta: 2 days, 0:32:32 time: 0.5076 data_time: 0.0365 memory: 18108 grad_norm: 3.0043 loss: 4.5144 top1_acc_0: 0.1875 top5_acc_0: 0.8125 loss_cls_0: 2.6293 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.8852 2023/02/01 04:54:26 - mmengine - INFO - Epoch(train) [74][ 680/1879] lr: 9.2442e-02 eta: 2 days, 0:32:22 time: 0.5134 data_time: 0.0380 memory: 18108 grad_norm: 3.0563 loss: 4.6961 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8147 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8814 2023/02/01 04:54:36 - mmengine - INFO - Epoch(train) [74][ 700/1879] lr: 9.2438e-02 eta: 2 days, 0:32:11 time: 0.5018 data_time: 0.0354 memory: 18108 grad_norm: 2.9706 loss: 4.6356 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.6540 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9816 2023/02/01 04:54:46 - mmengine - INFO - Epoch(train) [74][ 720/1879] lr: 9.2434e-02 eta: 2 days, 0:32:01 time: 0.5014 data_time: 0.0328 memory: 18108 grad_norm: 3.0353 loss: 4.4769 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6162 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8607 2023/02/01 04:54:56 - mmengine - INFO - Epoch(train) [74][ 740/1879] lr: 9.2430e-02 eta: 2 days, 0:31:50 time: 0.5090 data_time: 0.0356 memory: 18108 grad_norm: 3.0363 loss: 4.7379 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7724 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.9654 2023/02/01 04:55:07 - mmengine - INFO - Epoch(train) [74][ 760/1879] lr: 9.2426e-02 eta: 2 days, 0:31:40 time: 0.5137 data_time: 0.0389 memory: 18108 grad_norm: 3.0178 loss: 4.4723 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6176 top1_acc_1: 0.5765 top5_acc_1: 0.7059 loss_cls_1: 1.8546 2023/02/01 04:55:17 - mmengine - INFO - Epoch(train) [74][ 780/1879] lr: 9.2422e-02 eta: 2 days, 0:31:30 time: 0.5096 data_time: 0.0366 memory: 18108 grad_norm: 2.9989 loss: 4.6302 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6739 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.9563 2023/02/01 04:55:27 - mmengine - INFO - Epoch(train) [74][ 800/1879] lr: 9.2418e-02 eta: 2 days, 0:31:19 time: 0.4967 data_time: 0.0311 memory: 18108 grad_norm: 2.9347 loss: 4.6113 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.6461 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.9651 2023/02/01 04:55:37 - mmengine - INFO - Epoch(train) [74][ 820/1879] lr: 9.2414e-02 eta: 2 days, 0:31:10 time: 0.5193 data_time: 0.0367 memory: 18108 grad_norm: 3.0044 loss: 4.4390 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4108 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 2.0283 2023/02/01 04:55:44 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 04:55:47 - mmengine - INFO - Epoch(train) [74][ 840/1879] lr: 9.2410e-02 eta: 2 days, 0:30:59 time: 0.5019 data_time: 0.0381 memory: 18108 grad_norm: 3.0625 loss: 4.5910 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6710 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9200 2023/02/01 04:55:58 - mmengine - INFO - Epoch(train) [74][ 860/1879] lr: 9.2406e-02 eta: 2 days, 0:30:49 time: 0.5178 data_time: 0.0365 memory: 18108 grad_norm: 3.0000 loss: 4.4552 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5364 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 1.9188 2023/02/01 04:56:08 - mmengine - INFO - Epoch(train) [74][ 880/1879] lr: 9.2402e-02 eta: 2 days, 0:30:39 time: 0.4986 data_time: 0.0313 memory: 18108 grad_norm: 3.0303 loss: 4.4528 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5352 top1_acc_1: 0.4353 top5_acc_1: 0.7647 loss_cls_1: 1.9176 2023/02/01 04:56:18 - mmengine - INFO - Epoch(train) [74][ 900/1879] lr: 9.2398e-02 eta: 2 days, 0:30:29 time: 0.5086 data_time: 0.0366 memory: 18108 grad_norm: 2.9697 loss: 4.4040 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5911 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8130 2023/02/01 04:56:28 - mmengine - INFO - Epoch(train) [74][ 920/1879] lr: 9.2394e-02 eta: 2 days, 0:30:18 time: 0.5042 data_time: 0.0355 memory: 18108 grad_norm: 2.9941 loss: 4.6026 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6902 top1_acc_1: 0.3882 top5_acc_1: 0.6588 loss_cls_1: 1.9125 2023/02/01 04:56:38 - mmengine - INFO - Epoch(train) [74][ 940/1879] lr: 9.2390e-02 eta: 2 days, 0:30:08 time: 0.5118 data_time: 0.0337 memory: 18108 grad_norm: 2.9935 loss: 4.4067 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5629 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.8437 2023/02/01 04:56:48 - mmengine - INFO - Epoch(train) [74][ 960/1879] lr: 9.2386e-02 eta: 2 days, 0:29:58 time: 0.5037 data_time: 0.0315 memory: 18108 grad_norm: 3.0080 loss: 4.9252 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8988 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 2.0264 2023/02/01 04:56:58 - mmengine - INFO - Epoch(train) [74][ 980/1879] lr: 9.2382e-02 eta: 2 days, 0:29:47 time: 0.5079 data_time: 0.0352 memory: 18108 grad_norm: 3.0045 loss: 4.5343 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6204 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.9139 2023/02/01 04:57:08 - mmengine - INFO - Epoch(train) [74][1000/1879] lr: 9.2378e-02 eta: 2 days, 0:29:37 time: 0.5062 data_time: 0.0401 memory: 18108 grad_norm: 3.0455 loss: 4.6179 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6995 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.9185 2023/02/01 04:57:19 - mmengine - INFO - Epoch(train) [74][1020/1879] lr: 9.2374e-02 eta: 2 days, 0:29:27 time: 0.5064 data_time: 0.0359 memory: 18108 grad_norm: 3.0730 loss: 4.2771 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3091 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.9680 2023/02/01 04:57:29 - mmengine - INFO - Epoch(train) [74][1040/1879] lr: 9.2370e-02 eta: 2 days, 0:29:16 time: 0.5014 data_time: 0.0325 memory: 18108 grad_norm: 3.0698 loss: 4.7651 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8431 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.9220 2023/02/01 04:57:39 - mmengine - INFO - Epoch(train) [74][1060/1879] lr: 9.2366e-02 eta: 2 days, 0:29:06 time: 0.5071 data_time: 0.0413 memory: 18108 grad_norm: 2.9795 loss: 4.6275 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8044 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.8231 2023/02/01 04:57:49 - mmengine - INFO - Epoch(train) [74][1080/1879] lr: 9.2362e-02 eta: 2 days, 0:28:56 time: 0.5077 data_time: 0.0329 memory: 18108 grad_norm: 3.0155 loss: 4.5732 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5958 top1_acc_1: 0.4118 top5_acc_1: 0.6471 loss_cls_1: 1.9774 2023/02/01 04:57:59 - mmengine - INFO - Epoch(train) [74][1100/1879] lr: 9.2358e-02 eta: 2 days, 0:28:45 time: 0.4979 data_time: 0.0348 memory: 18108 grad_norm: 2.9945 loss: 4.8300 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8687 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.9613 2023/02/01 04:58:09 - mmengine - INFO - Epoch(train) [74][1120/1879] lr: 9.2354e-02 eta: 2 days, 0:28:35 time: 0.5086 data_time: 0.0331 memory: 18108 grad_norm: 2.9566 loss: 4.5129 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6012 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.9117 2023/02/01 04:58:19 - mmengine - INFO - Epoch(train) [74][1140/1879] lr: 9.2350e-02 eta: 2 days, 0:28:24 time: 0.5070 data_time: 0.0405 memory: 18108 grad_norm: 3.0032 loss: 4.8356 top1_acc_0: 0.1875 top5_acc_0: 0.8125 loss_cls_0: 2.9046 top1_acc_1: 0.4235 top5_acc_1: 0.7059 loss_cls_1: 1.9310 2023/02/01 04:58:29 - mmengine - INFO - Epoch(train) [74][1160/1879] lr: 9.2346e-02 eta: 2 days, 0:28:14 time: 0.5051 data_time: 0.0324 memory: 18108 grad_norm: 3.0335 loss: 4.5306 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6937 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.8369 2023/02/01 04:58:40 - mmengine - INFO - Epoch(train) [74][1180/1879] lr: 9.2342e-02 eta: 2 days, 0:28:04 time: 0.5233 data_time: 0.0362 memory: 18108 grad_norm: 3.0329 loss: 4.4567 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5744 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.8823 2023/02/01 04:58:50 - mmengine - INFO - Epoch(train) [74][1200/1879] lr: 9.2338e-02 eta: 2 days, 0:27:54 time: 0.4949 data_time: 0.0329 memory: 18108 grad_norm: 3.0197 loss: 4.7667 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.8162 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9505 2023/02/01 04:59:00 - mmengine - INFO - Epoch(train) [74][1220/1879] lr: 9.2334e-02 eta: 2 days, 0:27:44 time: 0.5139 data_time: 0.0341 memory: 18108 grad_norm: 2.9822 loss: 4.6341 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7094 top1_acc_1: 0.4588 top5_acc_1: 0.7412 loss_cls_1: 1.9247 2023/02/01 04:59:10 - mmengine - INFO - Epoch(train) [74][1240/1879] lr: 9.2330e-02 eta: 2 days, 0:27:33 time: 0.5009 data_time: 0.0308 memory: 18108 grad_norm: 3.0242 loss: 4.8011 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8389 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.9622 2023/02/01 04:59:20 - mmengine - INFO - Epoch(train) [74][1260/1879] lr: 9.2326e-02 eta: 2 days, 0:27:23 time: 0.5135 data_time: 0.0336 memory: 18108 grad_norm: 3.0451 loss: 4.8688 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.8661 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 2.0027 2023/02/01 04:59:30 - mmengine - INFO - Epoch(train) [74][1280/1879] lr: 9.2322e-02 eta: 2 days, 0:27:13 time: 0.5036 data_time: 0.0320 memory: 18108 grad_norm: 3.0170 loss: 4.9245 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9398 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.9847 2023/02/01 04:59:41 - mmengine - INFO - Epoch(train) [74][1300/1879] lr: 9.2318e-02 eta: 2 days, 0:27:02 time: 0.5085 data_time: 0.0351 memory: 18108 grad_norm: 3.0087 loss: 4.4954 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5554 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.9400 2023/02/01 04:59:51 - mmengine - INFO - Epoch(train) [74][1320/1879] lr: 9.2314e-02 eta: 2 days, 0:26:52 time: 0.5095 data_time: 0.0314 memory: 18108 grad_norm: 3.0131 loss: 4.6548 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6747 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 1.9800 2023/02/01 05:00:01 - mmengine - INFO - Epoch(train) [74][1340/1879] lr: 9.2310e-02 eta: 2 days, 0:26:42 time: 0.5102 data_time: 0.0375 memory: 18108 grad_norm: 2.9585 loss: 4.7348 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8105 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.9243 2023/02/01 05:00:11 - mmengine - INFO - Epoch(train) [74][1360/1879] lr: 9.2306e-02 eta: 2 days, 0:26:32 time: 0.5113 data_time: 0.0325 memory: 18108 grad_norm: 3.0210 loss: 4.6582 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7585 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8997 2023/02/01 05:00:22 - mmengine - INFO - Epoch(train) [74][1380/1879] lr: 9.2302e-02 eta: 2 days, 0:26:22 time: 0.5208 data_time: 0.0379 memory: 18108 grad_norm: 3.0365 loss: 4.5997 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.7482 top1_acc_1: 0.5176 top5_acc_1: 0.8706 loss_cls_1: 1.8514 2023/02/01 05:00:32 - mmengine - INFO - Epoch(train) [74][1400/1879] lr: 9.2298e-02 eta: 2 days, 0:26:11 time: 0.4944 data_time: 0.0313 memory: 18108 grad_norm: 2.9945 loss: 4.6326 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.7793 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8534 2023/02/01 05:00:42 - mmengine - INFO - Epoch(train) [74][1420/1879] lr: 9.2294e-02 eta: 2 days, 0:26:01 time: 0.5036 data_time: 0.0361 memory: 18108 grad_norm: 3.0120 loss: 4.3115 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4942 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.8172 2023/02/01 05:00:52 - mmengine - INFO - Epoch(train) [74][1440/1879] lr: 9.2290e-02 eta: 2 days, 0:25:51 time: 0.5045 data_time: 0.0328 memory: 18108 grad_norm: 3.0322 loss: 4.6641 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.7914 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.8727 2023/02/01 05:01:02 - mmengine - INFO - Epoch(train) [74][1460/1879] lr: 9.2286e-02 eta: 2 days, 0:25:40 time: 0.5093 data_time: 0.0413 memory: 18108 grad_norm: 3.0466 loss: 4.3716 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4295 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.9421 2023/02/01 05:01:12 - mmengine - INFO - Epoch(train) [74][1480/1879] lr: 9.2282e-02 eta: 2 days, 0:25:30 time: 0.5031 data_time: 0.0314 memory: 18108 grad_norm: 2.9785 loss: 4.6429 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.7291 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 1.9138 2023/02/01 05:01:23 - mmengine - INFO - Epoch(train) [74][1500/1879] lr: 9.2278e-02 eta: 2 days, 0:25:21 time: 0.5337 data_time: 0.0353 memory: 18108 grad_norm: 2.9892 loss: 4.6768 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8271 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8497 2023/02/01 05:01:33 - mmengine - INFO - Epoch(train) [74][1520/1879] lr: 9.2274e-02 eta: 2 days, 0:25:11 time: 0.5060 data_time: 0.0310 memory: 18108 grad_norm: 3.0039 loss: 4.6211 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.7337 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8874 2023/02/01 05:01:43 - mmengine - INFO - Epoch(train) [74][1540/1879] lr: 9.2270e-02 eta: 2 days, 0:25:01 time: 0.5125 data_time: 0.0349 memory: 18108 grad_norm: 2.9979 loss: 4.5826 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6705 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9121 2023/02/01 05:01:54 - mmengine - INFO - Epoch(train) [74][1560/1879] lr: 9.2266e-02 eta: 2 days, 0:24:51 time: 0.5224 data_time: 0.0303 memory: 18108 grad_norm: 3.0165 loss: 4.8483 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9093 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.9389 2023/02/01 05:02:04 - mmengine - INFO - Epoch(train) [74][1580/1879] lr: 9.2262e-02 eta: 2 days, 0:24:41 time: 0.5201 data_time: 0.0354 memory: 18108 grad_norm: 2.9378 loss: 4.3373 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.4500 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.8873 2023/02/01 05:02:14 - mmengine - INFO - Epoch(train) [74][1600/1879] lr: 9.2258e-02 eta: 2 days, 0:24:31 time: 0.5119 data_time: 0.0375 memory: 18108 grad_norm: 3.0418 loss: 4.5995 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6735 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9260 2023/02/01 05:02:24 - mmengine - INFO - Epoch(train) [74][1620/1879] lr: 9.2254e-02 eta: 2 days, 0:24:21 time: 0.5038 data_time: 0.0371 memory: 18108 grad_norm: 3.0295 loss: 4.5587 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6298 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.9289 2023/02/01 05:02:35 - mmengine - INFO - Epoch(train) [74][1640/1879] lr: 9.2250e-02 eta: 2 days, 0:24:11 time: 0.5199 data_time: 0.0301 memory: 18108 grad_norm: 3.0202 loss: 4.6331 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7000 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.9331 2023/02/01 05:02:45 - mmengine - INFO - Epoch(train) [74][1660/1879] lr: 9.2246e-02 eta: 2 days, 0:24:01 time: 0.5081 data_time: 0.0360 memory: 18108 grad_norm: 2.9753 loss: 4.4385 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 2.5467 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8918 2023/02/01 05:02:55 - mmengine - INFO - Epoch(train) [74][1680/1879] lr: 9.2242e-02 eta: 2 days, 0:23:51 time: 0.5024 data_time: 0.0387 memory: 18108 grad_norm: 2.9567 loss: 4.6455 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6910 top1_acc_1: 0.4824 top5_acc_1: 0.7882 loss_cls_1: 1.9545 2023/02/01 05:03:06 - mmengine - INFO - Epoch(train) [74][1700/1879] lr: 9.2238e-02 eta: 2 days, 0:23:42 time: 0.5380 data_time: 0.0362 memory: 18108 grad_norm: 2.9785 loss: 4.5215 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.5995 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.9220 2023/02/01 05:03:16 - mmengine - INFO - Epoch(train) [74][1720/1879] lr: 9.2234e-02 eta: 2 days, 0:23:33 time: 0.5321 data_time: 0.0298 memory: 18108 grad_norm: 2.9700 loss: 4.3703 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.4186 top1_acc_1: 0.6118 top5_acc_1: 0.7529 loss_cls_1: 1.9516 2023/02/01 05:03:27 - mmengine - INFO - Epoch(train) [74][1740/1879] lr: 9.2229e-02 eta: 2 days, 0:23:23 time: 0.5114 data_time: 0.0501 memory: 18108 grad_norm: 2.9578 loss: 4.6641 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7368 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.9273 2023/02/01 05:03:37 - mmengine - INFO - Epoch(train) [74][1760/1879] lr: 9.2225e-02 eta: 2 days, 0:23:13 time: 0.5186 data_time: 0.0326 memory: 18108 grad_norm: 3.0126 loss: 4.3133 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 2.3607 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 1.9526 2023/02/01 05:03:48 - mmengine - INFO - Epoch(train) [74][1780/1879] lr: 9.2221e-02 eta: 2 days, 0:23:04 time: 0.5385 data_time: 0.0350 memory: 18108 grad_norm: 2.9881 loss: 4.4321 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5038 top1_acc_1: 0.4118 top5_acc_1: 0.7529 loss_cls_1: 1.9283 2023/02/01 05:03:58 - mmengine - INFO - Epoch(train) [74][1800/1879] lr: 9.2217e-02 eta: 2 days, 0:22:54 time: 0.5117 data_time: 0.0311 memory: 18108 grad_norm: 3.0231 loss: 4.7464 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8495 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 1.8969 2023/02/01 05:04:08 - mmengine - INFO - Epoch(train) [74][1820/1879] lr: 9.2213e-02 eta: 2 days, 0:22:44 time: 0.5102 data_time: 0.0430 memory: 18108 grad_norm: 3.0441 loss: 4.4161 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5359 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.8802 2023/02/01 05:04:15 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 05:04:18 - mmengine - INFO - Epoch(train) [74][1840/1879] lr: 9.2209e-02 eta: 2 days, 0:22:34 time: 0.5124 data_time: 0.0316 memory: 18108 grad_norm: 3.0274 loss: 4.3145 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.4313 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.8833 2023/02/01 05:04:29 - mmengine - INFO - Epoch(train) [74][1860/1879] lr: 9.2205e-02 eta: 2 days, 0:22:24 time: 0.5075 data_time: 0.0383 memory: 18108 grad_norm: 2.9876 loss: 4.6614 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7652 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.8962 2023/02/01 05:04:38 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 05:04:38 - mmengine - INFO - Epoch(train) [74][1879/1879] lr: 9.2201e-02 eta: 2 days, 0:22:12 time: 0.4780 data_time: 0.0289 memory: 18108 grad_norm: 3.0949 loss: 4.6344 top1_acc_0: 0.1429 top5_acc_0: 0.5714 loss_cls_0: 2.6701 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 1.9643 2023/02/01 05:04:53 - mmengine - INFO - Epoch(train) [75][ 20/1879] lr: 9.2197e-02 eta: 2 days, 0:22:12 time: 0.7085 data_time: 0.2408 memory: 18108 grad_norm: 2.9665 loss: 4.3535 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.5314 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8221 2023/02/01 05:05:02 - mmengine - INFO - Epoch(train) [75][ 40/1879] lr: 9.2193e-02 eta: 2 days, 0:21:59 time: 0.4591 data_time: 0.0330 memory: 18108 grad_norm: 2.9912 loss: 4.5020 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.5925 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.9094 2023/02/01 05:05:11 - mmengine - INFO - Epoch(train) [75][ 60/1879] lr: 9.2189e-02 eta: 2 days, 0:21:47 time: 0.4667 data_time: 0.0360 memory: 18108 grad_norm: 3.0041 loss: 4.5575 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6271 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.9304 2023/02/01 05:05:22 - mmengine - INFO - Epoch(train) [75][ 80/1879] lr: 9.2185e-02 eta: 2 days, 0:21:37 time: 0.5197 data_time: 0.0331 memory: 18108 grad_norm: 3.0218 loss: 4.2705 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4387 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.8318 2023/02/01 05:05:31 - mmengine - INFO - Epoch(train) [75][ 100/1879] lr: 9.2181e-02 eta: 2 days, 0:21:26 time: 0.4820 data_time: 0.0432 memory: 18108 grad_norm: 3.0215 loss: 4.2682 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.4448 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8234 2023/02/01 05:05:41 - mmengine - INFO - Epoch(train) [75][ 120/1879] lr: 9.2177e-02 eta: 2 days, 0:21:14 time: 0.4737 data_time: 0.0343 memory: 18108 grad_norm: 3.0184 loss: 4.4840 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6443 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.8397 2023/02/01 05:05:51 - mmengine - INFO - Epoch(train) [75][ 140/1879] lr: 9.2173e-02 eta: 2 days, 0:21:03 time: 0.4988 data_time: 0.0365 memory: 18108 grad_norm: 3.0302 loss: 4.6809 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.8011 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8799 2023/02/01 05:06:00 - mmengine - INFO - Epoch(train) [75][ 160/1879] lr: 9.2169e-02 eta: 2 days, 0:20:52 time: 0.4870 data_time: 0.0365 memory: 18108 grad_norm: 3.0274 loss: 4.4527 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.5883 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.8644 2023/02/01 05:06:10 - mmengine - INFO - Epoch(train) [75][ 180/1879] lr: 9.2165e-02 eta: 2 days, 0:20:41 time: 0.4829 data_time: 0.0424 memory: 18108 grad_norm: 3.0073 loss: 4.1856 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.4463 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.7393 2023/02/01 05:06:20 - mmengine - INFO - Epoch(train) [75][ 200/1879] lr: 9.2161e-02 eta: 2 days, 0:20:29 time: 0.4822 data_time: 0.0334 memory: 18108 grad_norm: 2.9953 loss: 4.5920 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.7015 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8905 2023/02/01 05:06:29 - mmengine - INFO - Epoch(train) [75][ 220/1879] lr: 9.2157e-02 eta: 2 days, 0:20:18 time: 0.4864 data_time: 0.0369 memory: 18108 grad_norm: 3.0048 loss: 4.5441 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6481 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.8960 2023/02/01 05:06:39 - mmengine - INFO - Epoch(train) [75][ 240/1879] lr: 9.2153e-02 eta: 2 days, 0:20:06 time: 0.4785 data_time: 0.0345 memory: 18108 grad_norm: 3.0003 loss: 4.2956 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4402 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8554 2023/02/01 05:06:49 - mmengine - INFO - Epoch(train) [75][ 260/1879] lr: 9.2149e-02 eta: 2 days, 0:19:55 time: 0.4947 data_time: 0.0355 memory: 18108 grad_norm: 3.0723 loss: 4.5141 top1_acc_0: 0.3750 top5_acc_0: 0.3750 loss_cls_0: 2.6696 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.8444 2023/02/01 05:06:58 - mmengine - INFO - Epoch(train) [75][ 280/1879] lr: 9.2145e-02 eta: 2 days, 0:19:43 time: 0.4742 data_time: 0.0331 memory: 18108 grad_norm: 3.0064 loss: 4.6145 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6429 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.9716 2023/02/01 05:07:08 - mmengine - INFO - Epoch(train) [75][ 300/1879] lr: 9.2141e-02 eta: 2 days, 0:19:32 time: 0.4944 data_time: 0.0370 memory: 18108 grad_norm: 3.0434 loss: 4.5569 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6426 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9143 2023/02/01 05:07:18 - mmengine - INFO - Epoch(train) [75][ 320/1879] lr: 9.2137e-02 eta: 2 days, 0:19:21 time: 0.4904 data_time: 0.0342 memory: 18108 grad_norm: 3.0288 loss: 4.3826 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.4620 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 1.9206 2023/02/01 05:07:28 - mmengine - INFO - Epoch(train) [75][ 340/1879] lr: 9.2133e-02 eta: 2 days, 0:19:10 time: 0.4840 data_time: 0.0350 memory: 18108 grad_norm: 3.0038 loss: 4.2171 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3946 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8226 2023/02/01 05:07:38 - mmengine - INFO - Epoch(train) [75][ 360/1879] lr: 9.2129e-02 eta: 2 days, 0:18:59 time: 0.4888 data_time: 0.0345 memory: 18108 grad_norm: 3.1144 loss: 4.7983 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.9918 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8065 2023/02/01 05:07:47 - mmengine - INFO - Epoch(train) [75][ 380/1879] lr: 9.2125e-02 eta: 2 days, 0:18:47 time: 0.4878 data_time: 0.0365 memory: 18108 grad_norm: 2.9744 loss: 4.5141 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6309 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8833 2023/02/01 05:07:57 - mmengine - INFO - Epoch(train) [75][ 400/1879] lr: 9.2120e-02 eta: 2 days, 0:18:36 time: 0.4901 data_time: 0.0382 memory: 18108 grad_norm: 2.9971 loss: 4.5794 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6662 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.9132 2023/02/01 05:08:07 - mmengine - INFO - Epoch(train) [75][ 420/1879] lr: 9.2116e-02 eta: 2 days, 0:18:25 time: 0.4806 data_time: 0.0353 memory: 18108 grad_norm: 3.0088 loss: 4.5685 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6668 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.9017 2023/02/01 05:08:17 - mmengine - INFO - Epoch(train) [75][ 440/1879] lr: 9.2112e-02 eta: 2 days, 0:18:14 time: 0.4944 data_time: 0.0323 memory: 18108 grad_norm: 2.9861 loss: 4.5085 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6446 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.8638 2023/02/01 05:08:26 - mmengine - INFO - Epoch(train) [75][ 460/1879] lr: 9.2108e-02 eta: 2 days, 0:18:02 time: 0.4837 data_time: 0.0386 memory: 18108 grad_norm: 2.9824 loss: 4.3428 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4952 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.8475 2023/02/01 05:08:36 - mmengine - INFO - Epoch(train) [75][ 480/1879] lr: 9.2104e-02 eta: 2 days, 0:17:51 time: 0.4828 data_time: 0.0409 memory: 18108 grad_norm: 3.0196 loss: 4.2346 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.4478 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.7868 2023/02/01 05:08:46 - mmengine - INFO - Epoch(train) [75][ 500/1879] lr: 9.2100e-02 eta: 2 days, 0:17:40 time: 0.4853 data_time: 0.0348 memory: 18108 grad_norm: 3.0308 loss: 4.3646 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5054 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8591 2023/02/01 05:08:56 - mmengine - INFO - Epoch(train) [75][ 520/1879] lr: 9.2096e-02 eta: 2 days, 0:17:28 time: 0.4875 data_time: 0.0377 memory: 18108 grad_norm: 3.0492 loss: 4.3795 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5215 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.8580 2023/02/01 05:09:05 - mmengine - INFO - Epoch(train) [75][ 540/1879] lr: 9.2092e-02 eta: 2 days, 0:17:17 time: 0.4850 data_time: 0.0418 memory: 18108 grad_norm: 3.0424 loss: 4.6275 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.7721 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8554 2023/02/01 05:09:15 - mmengine - INFO - Epoch(train) [75][ 560/1879] lr: 9.2088e-02 eta: 2 days, 0:17:05 time: 0.4807 data_time: 0.0303 memory: 18108 grad_norm: 3.0059 loss: 4.4143 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5306 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8837 2023/02/01 05:09:25 - mmengine - INFO - Epoch(train) [75][ 580/1879] lr: 9.2084e-02 eta: 2 days, 0:16:54 time: 0.4925 data_time: 0.0383 memory: 18108 grad_norm: 3.0936 loss: 4.6263 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7150 top1_acc_1: 0.5176 top5_acc_1: 0.8353 loss_cls_1: 1.9113 2023/02/01 05:09:34 - mmengine - INFO - Epoch(train) [75][ 600/1879] lr: 9.2080e-02 eta: 2 days, 0:16:43 time: 0.4843 data_time: 0.0303 memory: 18108 grad_norm: 3.0168 loss: 4.5428 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5812 top1_acc_1: 0.4235 top5_acc_1: 0.7294 loss_cls_1: 1.9616 2023/02/01 05:09:44 - mmengine - INFO - Epoch(train) [75][ 620/1879] lr: 9.2076e-02 eta: 2 days, 0:16:32 time: 0.4850 data_time: 0.0436 memory: 18108 grad_norm: 3.0098 loss: 4.7205 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7727 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.9478 2023/02/01 05:09:54 - mmengine - INFO - Epoch(train) [75][ 640/1879] lr: 9.2072e-02 eta: 2 days, 0:16:20 time: 0.4754 data_time: 0.0297 memory: 18108 grad_norm: 3.0016 loss: 4.3817 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5479 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8338 2023/02/01 05:10:04 - mmengine - INFO - Epoch(train) [75][ 660/1879] lr: 9.2068e-02 eta: 2 days, 0:16:09 time: 0.4921 data_time: 0.0377 memory: 18108 grad_norm: 3.0545 loss: 4.3611 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5059 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.8551 2023/02/01 05:10:13 - mmengine - INFO - Epoch(train) [75][ 680/1879] lr: 9.2064e-02 eta: 2 days, 0:15:57 time: 0.4678 data_time: 0.0350 memory: 18108 grad_norm: 3.0188 loss: 4.5155 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6835 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.8320 2023/02/01 05:10:22 - mmengine - INFO - Epoch(train) [75][ 700/1879] lr: 9.2059e-02 eta: 2 days, 0:15:45 time: 0.4775 data_time: 0.0400 memory: 18108 grad_norm: 3.0203 loss: 4.5203 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6725 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.8478 2023/02/01 05:10:32 - mmengine - INFO - Epoch(train) [75][ 720/1879] lr: 9.2055e-02 eta: 2 days, 0:15:33 time: 0.4807 data_time: 0.0298 memory: 18108 grad_norm: 3.0076 loss: 4.5721 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.7199 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.8522 2023/02/01 05:10:42 - mmengine - INFO - Epoch(train) [75][ 740/1879] lr: 9.2051e-02 eta: 2 days, 0:15:22 time: 0.4854 data_time: 0.0456 memory: 18108 grad_norm: 3.0402 loss: 4.6364 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.6549 top1_acc_1: 0.5765 top5_acc_1: 0.7294 loss_cls_1: 1.9815 2023/02/01 05:10:51 - mmengine - INFO - Epoch(train) [75][ 760/1879] lr: 9.2047e-02 eta: 2 days, 0:15:10 time: 0.4644 data_time: 0.0288 memory: 18108 grad_norm: 2.9697 loss: 4.7105 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8218 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.8887 2023/02/01 05:11:01 - mmengine - INFO - Epoch(train) [75][ 780/1879] lr: 9.2043e-02 eta: 2 days, 0:14:58 time: 0.4875 data_time: 0.0398 memory: 18108 grad_norm: 3.0095 loss: 4.7011 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.7839 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9173 2023/02/01 05:11:11 - mmengine - INFO - Epoch(train) [75][ 800/1879] lr: 9.2039e-02 eta: 2 days, 0:14:48 time: 0.4996 data_time: 0.0284 memory: 18108 grad_norm: 2.9914 loss: 4.5422 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6444 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.8978 2023/02/01 05:11:20 - mmengine - INFO - Epoch(train) [75][ 820/1879] lr: 9.2035e-02 eta: 2 days, 0:14:36 time: 0.4757 data_time: 0.0385 memory: 18108 grad_norm: 3.0238 loss: 4.5315 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6370 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 1.8946 2023/02/01 05:11:30 - mmengine - INFO - Epoch(train) [75][ 840/1879] lr: 9.2031e-02 eta: 2 days, 0:14:24 time: 0.4675 data_time: 0.0310 memory: 18108 grad_norm: 3.0503 loss: 4.5530 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5200 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 2.0331 2023/02/01 05:11:40 - mmengine - INFO - Epoch(train) [75][ 860/1879] lr: 9.2027e-02 eta: 2 days, 0:14:13 time: 0.4979 data_time: 0.0379 memory: 18108 grad_norm: 2.9977 loss: 4.5376 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6962 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.8414 2023/02/01 05:11:49 - mmengine - INFO - Epoch(train) [75][ 880/1879] lr: 9.2023e-02 eta: 2 days, 0:14:01 time: 0.4710 data_time: 0.0304 memory: 18108 grad_norm: 2.9927 loss: 4.6141 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6316 top1_acc_1: 0.4000 top5_acc_1: 0.7765 loss_cls_1: 1.9825 2023/02/01 05:11:59 - mmengine - INFO - Epoch(train) [75][ 900/1879] lr: 9.2019e-02 eta: 2 days, 0:13:49 time: 0.4728 data_time: 0.0389 memory: 18108 grad_norm: 3.0621 loss: 4.6108 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7481 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.8628 2023/02/01 05:12:08 - mmengine - INFO - Epoch(train) [75][ 920/1879] lr: 9.2015e-02 eta: 2 days, 0:13:38 time: 0.4854 data_time: 0.0333 memory: 18108 grad_norm: 3.0756 loss: 4.6497 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7335 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.9163 2023/02/01 05:12:19 - mmengine - INFO - Epoch(train) [75][ 940/1879] lr: 9.2011e-02 eta: 2 days, 0:13:28 time: 0.5111 data_time: 0.0391 memory: 18108 grad_norm: 2.9919 loss: 4.6476 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.7899 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.8577 2023/02/01 05:12:25 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 05:12:28 - mmengine - INFO - Epoch(train) [75][ 960/1879] lr: 9.2006e-02 eta: 2 days, 0:13:15 time: 0.4670 data_time: 0.0298 memory: 18108 grad_norm: 3.0151 loss: 4.7026 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7262 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.9764 2023/02/01 05:12:37 - mmengine - INFO - Epoch(train) [75][ 980/1879] lr: 9.2002e-02 eta: 2 days, 0:13:04 time: 0.4773 data_time: 0.0371 memory: 18108 grad_norm: 3.0633 loss: 4.6436 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8250 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8187 2023/02/01 05:12:47 - mmengine - INFO - Epoch(train) [75][1000/1879] lr: 9.1998e-02 eta: 2 days, 0:12:52 time: 0.4878 data_time: 0.0356 memory: 18108 grad_norm: 2.9784 loss: 4.8107 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.8483 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.9625 2023/02/01 05:12:57 - mmengine - INFO - Epoch(train) [75][1020/1879] lr: 9.1994e-02 eta: 2 days, 0:12:41 time: 0.4860 data_time: 0.0377 memory: 18108 grad_norm: 2.9600 loss: 4.5502 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6308 top1_acc_1: 0.4353 top5_acc_1: 0.7176 loss_cls_1: 1.9194 2023/02/01 05:13:06 - mmengine - INFO - Epoch(train) [75][1040/1879] lr: 9.1990e-02 eta: 2 days, 0:12:29 time: 0.4722 data_time: 0.0325 memory: 18108 grad_norm: 3.0368 loss: 4.6288 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6709 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9579 2023/02/01 05:13:17 - mmengine - INFO - Epoch(train) [75][1060/1879] lr: 9.1986e-02 eta: 2 days, 0:12:19 time: 0.5061 data_time: 0.0393 memory: 18108 grad_norm: 3.0326 loss: 4.6552 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.7626 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 1.8926 2023/02/01 05:13:26 - mmengine - INFO - Epoch(train) [75][1080/1879] lr: 9.1982e-02 eta: 2 days, 0:12:07 time: 0.4673 data_time: 0.0303 memory: 18108 grad_norm: 3.0610 loss: 4.5377 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6179 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9198 2023/02/01 05:13:36 - mmengine - INFO - Epoch(train) [75][1100/1879] lr: 9.1978e-02 eta: 2 days, 0:11:55 time: 0.4831 data_time: 0.0392 memory: 18108 grad_norm: 3.0148 loss: 4.4226 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5879 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.8346 2023/02/01 05:13:45 - mmengine - INFO - Epoch(train) [75][1120/1879] lr: 9.1974e-02 eta: 2 days, 0:11:43 time: 0.4767 data_time: 0.0302 memory: 18108 grad_norm: 2.9826 loss: 4.4187 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.5785 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.8401 2023/02/01 05:13:55 - mmengine - INFO - Epoch(train) [75][1140/1879] lr: 9.1970e-02 eta: 2 days, 0:11:33 time: 0.4979 data_time: 0.0451 memory: 18108 grad_norm: 2.9495 loss: 4.5167 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.6537 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.8630 2023/02/01 05:14:05 - mmengine - INFO - Epoch(train) [75][1160/1879] lr: 9.1966e-02 eta: 2 days, 0:11:21 time: 0.4765 data_time: 0.0311 memory: 18108 grad_norm: 2.9502 loss: 4.5825 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.7058 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.8767 2023/02/01 05:14:14 - mmengine - INFO - Epoch(train) [75][1180/1879] lr: 9.1961e-02 eta: 2 days, 0:11:10 time: 0.4912 data_time: 0.0399 memory: 18108 grad_norm: 3.0594 loss: 4.4683 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5933 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8750 2023/02/01 05:14:24 - mmengine - INFO - Epoch(train) [75][1200/1879] lr: 9.1957e-02 eta: 2 days, 0:10:59 time: 0.4874 data_time: 0.0305 memory: 18108 grad_norm: 2.9819 loss: 4.4117 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4670 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9447 2023/02/01 05:14:34 - mmengine - INFO - Epoch(train) [75][1220/1879] lr: 9.1953e-02 eta: 2 days, 0:10:47 time: 0.4781 data_time: 0.0403 memory: 18108 grad_norm: 3.0289 loss: 4.5978 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7166 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.8811 2023/02/01 05:14:43 - mmengine - INFO - Epoch(train) [75][1240/1879] lr: 9.1949e-02 eta: 2 days, 0:10:35 time: 0.4710 data_time: 0.0297 memory: 18108 grad_norm: 2.9847 loss: 4.3049 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4355 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.8694 2023/02/01 05:14:53 - mmengine - INFO - Epoch(train) [75][1260/1879] lr: 9.1945e-02 eta: 2 days, 0:10:24 time: 0.4936 data_time: 0.0459 memory: 18108 grad_norm: 2.9785 loss: 4.3562 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4524 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9038 2023/02/01 05:15:03 - mmengine - INFO - Epoch(train) [75][1280/1879] lr: 9.1941e-02 eta: 2 days, 0:10:13 time: 0.4877 data_time: 0.0303 memory: 18108 grad_norm: 2.9832 loss: 4.5768 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7004 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.8764 2023/02/01 05:15:13 - mmengine - INFO - Epoch(train) [75][1300/1879] lr: 9.1937e-02 eta: 2 days, 0:10:02 time: 0.4953 data_time: 0.0388 memory: 18108 grad_norm: 3.0019 loss: 4.5468 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6116 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.9353 2023/02/01 05:15:23 - mmengine - INFO - Epoch(train) [75][1320/1879] lr: 9.1933e-02 eta: 2 days, 0:09:51 time: 0.5012 data_time: 0.0309 memory: 18108 grad_norm: 2.9950 loss: 4.4228 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5958 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.8269 2023/02/01 05:15:33 - mmengine - INFO - Epoch(train) [75][1340/1879] lr: 9.1929e-02 eta: 2 days, 0:09:41 time: 0.4955 data_time: 0.0369 memory: 18108 grad_norm: 2.9771 loss: 4.8018 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.8608 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.9410 2023/02/01 05:15:43 - mmengine - INFO - Epoch(train) [75][1360/1879] lr: 9.1925e-02 eta: 2 days, 0:09:30 time: 0.4911 data_time: 0.0334 memory: 18108 grad_norm: 2.9779 loss: 4.7206 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8626 top1_acc_1: 0.5412 top5_acc_1: 0.7059 loss_cls_1: 1.8580 2023/02/01 05:15:53 - mmengine - INFO - Epoch(train) [75][1380/1879] lr: 9.1920e-02 eta: 2 days, 0:09:20 time: 0.5200 data_time: 0.0412 memory: 18108 grad_norm: 2.9453 loss: 4.6686 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7439 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9247 2023/02/01 05:16:03 - mmengine - INFO - Epoch(train) [75][1400/1879] lr: 9.1916e-02 eta: 2 days, 0:09:09 time: 0.4967 data_time: 0.0289 memory: 18108 grad_norm: 3.0459 loss: 4.4869 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6294 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8575 2023/02/01 05:16:13 - mmengine - INFO - Epoch(train) [75][1420/1879] lr: 9.1912e-02 eta: 2 days, 0:08:58 time: 0.4967 data_time: 0.0367 memory: 18108 grad_norm: 3.0465 loss: 4.4174 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.5551 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8623 2023/02/01 05:16:23 - mmengine - INFO - Epoch(train) [75][1440/1879] lr: 9.1908e-02 eta: 2 days, 0:08:48 time: 0.5020 data_time: 0.0353 memory: 18108 grad_norm: 2.9921 loss: 4.5933 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6862 top1_acc_1: 0.5412 top5_acc_1: 0.6941 loss_cls_1: 1.9072 2023/02/01 05:16:33 - mmengine - INFO - Epoch(train) [75][1460/1879] lr: 9.1904e-02 eta: 2 days, 0:08:38 time: 0.5255 data_time: 0.0383 memory: 18108 grad_norm: 3.0111 loss: 4.5072 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5645 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.9427 2023/02/01 05:16:43 - mmengine - INFO - Epoch(train) [75][1480/1879] lr: 9.1900e-02 eta: 2 days, 0:08:27 time: 0.4882 data_time: 0.0304 memory: 18108 grad_norm: 3.0145 loss: 4.6025 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.7324 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 1.8701 2023/02/01 05:16:53 - mmengine - INFO - Epoch(train) [75][1500/1879] lr: 9.1896e-02 eta: 2 days, 0:08:17 time: 0.5029 data_time: 0.0368 memory: 18108 grad_norm: 3.0205 loss: 4.6974 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7145 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.9829 2023/02/01 05:17:04 - mmengine - INFO - Epoch(train) [75][1520/1879] lr: 9.1892e-02 eta: 2 days, 0:08:07 time: 0.5218 data_time: 0.0366 memory: 18108 grad_norm: 3.0212 loss: 4.3298 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5207 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.8092 2023/02/01 05:17:14 - mmengine - INFO - Epoch(train) [75][1540/1879] lr: 9.1888e-02 eta: 2 days, 0:07:57 time: 0.5090 data_time: 0.0370 memory: 18108 grad_norm: 3.0513 loss: 4.7691 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8897 top1_acc_1: 0.6353 top5_acc_1: 0.9294 loss_cls_1: 1.8793 2023/02/01 05:17:24 - mmengine - INFO - Epoch(train) [75][1560/1879] lr: 9.1883e-02 eta: 2 days, 0:07:46 time: 0.4926 data_time: 0.0295 memory: 18108 grad_norm: 2.9828 loss: 4.5404 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5773 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.9631 2023/02/01 05:17:34 - mmengine - INFO - Epoch(train) [75][1580/1879] lr: 9.1879e-02 eta: 2 days, 0:07:37 time: 0.5261 data_time: 0.0364 memory: 18108 grad_norm: 3.0102 loss: 4.4751 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5808 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.8943 2023/02/01 05:17:45 - mmengine - INFO - Epoch(train) [75][1600/1879] lr: 9.1875e-02 eta: 2 days, 0:07:27 time: 0.5247 data_time: 0.0298 memory: 18108 grad_norm: 3.0418 loss: 4.7598 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8996 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.8602 2023/02/01 05:17:55 - mmengine - INFO - Epoch(train) [75][1620/1879] lr: 9.1871e-02 eta: 2 days, 0:07:17 time: 0.5108 data_time: 0.0372 memory: 18108 grad_norm: 2.9862 loss: 4.7821 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8377 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9444 2023/02/01 05:18:05 - mmengine - INFO - Epoch(train) [75][1640/1879] lr: 9.1867e-02 eta: 2 days, 0:07:08 time: 0.5196 data_time: 0.0294 memory: 18108 grad_norm: 3.0180 loss: 4.6693 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8054 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.8639 2023/02/01 05:18:16 - mmengine - INFO - Epoch(train) [75][1660/1879] lr: 9.1863e-02 eta: 2 days, 0:06:58 time: 0.5218 data_time: 0.0387 memory: 18108 grad_norm: 2.9391 loss: 4.5337 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.6472 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.8866 2023/02/01 05:18:26 - mmengine - INFO - Epoch(train) [75][1680/1879] lr: 9.1859e-02 eta: 2 days, 0:06:48 time: 0.5146 data_time: 0.0287 memory: 18108 grad_norm: 3.0215 loss: 4.4740 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6056 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.8684 2023/02/01 05:18:37 - mmengine - INFO - Epoch(train) [75][1700/1879] lr: 9.1855e-02 eta: 2 days, 0:06:38 time: 0.5192 data_time: 0.0365 memory: 18108 grad_norm: 3.0272 loss: 4.5410 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.6977 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.8432 2023/02/01 05:18:47 - mmengine - INFO - Epoch(train) [75][1720/1879] lr: 9.1851e-02 eta: 2 days, 0:06:29 time: 0.5284 data_time: 0.0393 memory: 18108 grad_norm: 2.9985 loss: 4.6737 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7327 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 1.9410 2023/02/01 05:18:58 - mmengine - INFO - Epoch(train) [75][1740/1879] lr: 9.1846e-02 eta: 2 days, 0:06:20 time: 0.5258 data_time: 0.0376 memory: 18108 grad_norm: 2.9631 loss: 4.2338 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3808 top1_acc_1: 0.6353 top5_acc_1: 0.7647 loss_cls_1: 1.8530 2023/02/01 05:19:08 - mmengine - INFO - Epoch(train) [75][1760/1879] lr: 9.1842e-02 eta: 2 days, 0:06:09 time: 0.5064 data_time: 0.0285 memory: 18108 grad_norm: 2.9863 loss: 4.4082 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5344 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 1.8738 2023/02/01 05:19:19 - mmengine - INFO - Epoch(train) [75][1780/1879] lr: 9.1838e-02 eta: 2 days, 0:06:01 time: 0.5361 data_time: 0.0486 memory: 18108 grad_norm: 2.9806 loss: 4.6418 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.7535 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8883 2023/02/01 05:19:29 - mmengine - INFO - Epoch(train) [75][1800/1879] lr: 9.1834e-02 eta: 2 days, 0:05:50 time: 0.5102 data_time: 0.0292 memory: 18108 grad_norm: 3.0116 loss: 4.5338 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6893 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8445 2023/02/01 05:19:39 - mmengine - INFO - Epoch(train) [75][1820/1879] lr: 9.1830e-02 eta: 2 days, 0:05:41 time: 0.5178 data_time: 0.0373 memory: 18108 grad_norm: 2.9456 loss: 4.6671 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 2.6917 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.9754 2023/02/01 05:19:50 - mmengine - INFO - Epoch(train) [75][1840/1879] lr: 9.1826e-02 eta: 2 days, 0:05:31 time: 0.5220 data_time: 0.0357 memory: 18108 grad_norm: 2.9466 loss: 4.4412 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5136 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.9276 2023/02/01 05:20:00 - mmengine - INFO - Epoch(train) [75][1860/1879] lr: 9.1822e-02 eta: 2 days, 0:05:21 time: 0.5039 data_time: 0.0353 memory: 18108 grad_norm: 2.9874 loss: 4.5996 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6549 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9446 2023/02/01 05:20:09 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 05:20:09 - mmengine - INFO - Epoch(train) [75][1879/1879] lr: 9.1818e-02 eta: 2 days, 0:05:10 time: 0.4792 data_time: 0.0267 memory: 18108 grad_norm: 3.1541 loss: 4.3723 top1_acc_0: 0.5714 top5_acc_0: 0.5714 loss_cls_0: 2.4546 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.9178 2023/02/01 05:20:24 - mmengine - INFO - Epoch(train) [76][ 20/1879] lr: 9.1814e-02 eta: 2 days, 0:05:09 time: 0.7003 data_time: 0.2468 memory: 18108 grad_norm: 2.9991 loss: 4.2984 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.5574 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.7410 2023/02/01 05:20:33 - mmengine - INFO - Epoch(train) [76][ 40/1879] lr: 9.1809e-02 eta: 2 days, 0:04:57 time: 0.4707 data_time: 0.0341 memory: 18108 grad_norm: 2.9242 loss: 4.1369 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3759 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.7609 2023/02/01 05:20:43 - mmengine - INFO - Epoch(train) [76][ 60/1879] lr: 9.1805e-02 eta: 2 days, 0:04:45 time: 0.4800 data_time: 0.0368 memory: 18108 grad_norm: 3.0271 loss: 4.5259 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6282 top1_acc_1: 0.4235 top5_acc_1: 0.7294 loss_cls_1: 1.8977 2023/02/01 05:20:51 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 05:20:53 - mmengine - INFO - Epoch(train) [76][ 80/1879] lr: 9.1801e-02 eta: 2 days, 0:04:35 time: 0.5171 data_time: 0.0419 memory: 18108 grad_norm: 2.9454 loss: 4.3581 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5384 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.8197 2023/02/01 05:21:03 - mmengine - INFO - Epoch(train) [76][ 100/1879] lr: 9.1797e-02 eta: 2 days, 0:04:24 time: 0.4796 data_time: 0.0363 memory: 18108 grad_norm: 2.9995 loss: 4.2804 top1_acc_0: 0.0625 top5_acc_0: 0.6250 loss_cls_0: 2.4532 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8272 2023/02/01 05:21:12 - mmengine - INFO - Epoch(train) [76][ 120/1879] lr: 9.1793e-02 eta: 2 days, 0:04:12 time: 0.4712 data_time: 0.0333 memory: 18108 grad_norm: 2.9973 loss: 4.3085 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4906 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.8179 2023/02/01 05:21:22 - mmengine - INFO - Epoch(train) [76][ 140/1879] lr: 9.1789e-02 eta: 2 days, 0:04:01 time: 0.4981 data_time: 0.0363 memory: 18108 grad_norm: 3.0299 loss: 4.5338 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6825 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8512 2023/02/01 05:21:32 - mmengine - INFO - Epoch(train) [76][ 160/1879] lr: 9.1785e-02 eta: 2 days, 0:03:50 time: 0.4846 data_time: 0.0348 memory: 18108 grad_norm: 3.0929 loss: 4.6002 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8306 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 1.7695 2023/02/01 05:21:41 - mmengine - INFO - Epoch(train) [76][ 180/1879] lr: 9.1781e-02 eta: 2 days, 0:03:38 time: 0.4803 data_time: 0.0375 memory: 18108 grad_norm: 2.9307 loss: 4.4047 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5284 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.8763 2023/02/01 05:21:51 - mmengine - INFO - Epoch(train) [76][ 200/1879] lr: 9.1776e-02 eta: 2 days, 0:03:27 time: 0.4824 data_time: 0.0322 memory: 18108 grad_norm: 2.9670 loss: 4.4901 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5794 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.9107 2023/02/01 05:22:01 - mmengine - INFO - Epoch(train) [76][ 220/1879] lr: 9.1772e-02 eta: 2 days, 0:03:17 time: 0.5074 data_time: 0.0335 memory: 18108 grad_norm: 3.0460 loss: 4.2921 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4294 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8627 2023/02/01 05:22:11 - mmengine - INFO - Epoch(train) [76][ 240/1879] lr: 9.1768e-02 eta: 2 days, 0:03:05 time: 0.4913 data_time: 0.0317 memory: 18108 grad_norm: 3.0154 loss: 4.4429 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5746 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 1.8682 2023/02/01 05:22:21 - mmengine - INFO - Epoch(train) [76][ 260/1879] lr: 9.1764e-02 eta: 2 days, 0:02:54 time: 0.4866 data_time: 0.0359 memory: 18108 grad_norm: 3.1104 loss: 4.7046 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8164 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.8882 2023/02/01 05:22:31 - mmengine - INFO - Epoch(train) [76][ 280/1879] lr: 9.1760e-02 eta: 2 days, 0:02:43 time: 0.4971 data_time: 0.0317 memory: 18108 grad_norm: 3.0188 loss: 4.2480 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4249 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.8231 2023/02/01 05:22:41 - mmengine - INFO - Epoch(train) [76][ 300/1879] lr: 9.1756e-02 eta: 2 days, 0:02:33 time: 0.4974 data_time: 0.0349 memory: 18108 grad_norm: 2.9570 loss: 4.6769 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 2.7136 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9632 2023/02/01 05:22:51 - mmengine - INFO - Epoch(train) [76][ 320/1879] lr: 9.1752e-02 eta: 2 days, 0:02:22 time: 0.4948 data_time: 0.0324 memory: 18108 grad_norm: 3.0710 loss: 4.2172 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4185 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.7987 2023/02/01 05:23:00 - mmengine - INFO - Epoch(train) [76][ 340/1879] lr: 9.1747e-02 eta: 2 days, 0:02:11 time: 0.4919 data_time: 0.0372 memory: 18108 grad_norm: 2.9694 loss: 4.3953 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5030 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.8922 2023/02/01 05:23:11 - mmengine - INFO - Epoch(train) [76][ 360/1879] lr: 9.1743e-02 eta: 2 days, 0:02:01 time: 0.5087 data_time: 0.0344 memory: 18108 grad_norm: 2.9970 loss: 4.3620 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5547 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8073 2023/02/01 05:23:21 - mmengine - INFO - Epoch(train) [76][ 380/1879] lr: 9.1739e-02 eta: 2 days, 0:01:50 time: 0.5025 data_time: 0.0423 memory: 18108 grad_norm: 3.0601 loss: 4.6183 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.7384 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8799 2023/02/01 05:23:31 - mmengine - INFO - Epoch(train) [76][ 400/1879] lr: 9.1735e-02 eta: 2 days, 0:01:40 time: 0.5057 data_time: 0.0331 memory: 18108 grad_norm: 3.0638 loss: 4.5368 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.6551 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8817 2023/02/01 05:23:41 - mmengine - INFO - Epoch(train) [76][ 420/1879] lr: 9.1731e-02 eta: 2 days, 0:01:30 time: 0.5190 data_time: 0.0357 memory: 18108 grad_norm: 3.0813 loss: 4.6657 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7937 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8720 2023/02/01 05:23:51 - mmengine - INFO - Epoch(train) [76][ 440/1879] lr: 9.1727e-02 eta: 2 days, 0:01:20 time: 0.5083 data_time: 0.0342 memory: 18108 grad_norm: 2.9581 loss: 4.5116 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6224 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.8892 2023/02/01 05:24:02 - mmengine - INFO - Epoch(train) [76][ 460/1879] lr: 9.1723e-02 eta: 2 days, 0:01:10 time: 0.5135 data_time: 0.0357 memory: 18108 grad_norm: 2.9570 loss: 4.4622 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6263 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.8359 2023/02/01 05:24:12 - mmengine - INFO - Epoch(train) [76][ 480/1879] lr: 9.1718e-02 eta: 2 days, 0:00:59 time: 0.5016 data_time: 0.0338 memory: 18108 grad_norm: 3.0612 loss: 4.2036 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3902 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.8134 2023/02/01 05:24:22 - mmengine - INFO - Epoch(train) [76][ 500/1879] lr: 9.1714e-02 eta: 2 days, 0:00:50 time: 0.5148 data_time: 0.0351 memory: 18108 grad_norm: 3.0497 loss: 4.4670 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6707 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.7963 2023/02/01 05:24:32 - mmengine - INFO - Epoch(train) [76][ 520/1879] lr: 9.1710e-02 eta: 2 days, 0:00:39 time: 0.5082 data_time: 0.0314 memory: 18108 grad_norm: 3.0310 loss: 4.7562 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7748 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.9814 2023/02/01 05:24:42 - mmengine - INFO - Epoch(train) [76][ 540/1879] lr: 9.1706e-02 eta: 2 days, 0:00:29 time: 0.5147 data_time: 0.0350 memory: 18108 grad_norm: 3.0292 loss: 4.4581 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5978 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 1.8603 2023/02/01 05:24:52 - mmengine - INFO - Epoch(train) [76][ 560/1879] lr: 9.1702e-02 eta: 2 days, 0:00:19 time: 0.5029 data_time: 0.0329 memory: 18108 grad_norm: 2.9918 loss: 4.6294 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.6949 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.9345 2023/02/01 05:25:03 - mmengine - INFO - Epoch(train) [76][ 580/1879] lr: 9.1698e-02 eta: 2 days, 0:00:09 time: 0.5159 data_time: 0.0356 memory: 18108 grad_norm: 2.9698 loss: 4.6594 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8550 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.8044 2023/02/01 05:25:13 - mmengine - INFO - Epoch(train) [76][ 600/1879] lr: 9.1693e-02 eta: 1 day, 23:59:59 time: 0.5138 data_time: 0.0378 memory: 18108 grad_norm: 3.0272 loss: 4.6215 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7452 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.8763 2023/02/01 05:25:23 - mmengine - INFO - Epoch(train) [76][ 620/1879] lr: 9.1689e-02 eta: 1 day, 23:59:49 time: 0.5040 data_time: 0.0366 memory: 18108 grad_norm: 2.9963 loss: 4.4305 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5367 top1_acc_1: 0.5647 top5_acc_1: 0.8706 loss_cls_1: 1.8938 2023/02/01 05:25:33 - mmengine - INFO - Epoch(train) [76][ 640/1879] lr: 9.1685e-02 eta: 1 day, 23:59:39 time: 0.5104 data_time: 0.0329 memory: 18108 grad_norm: 2.9923 loss: 4.3792 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5853 top1_acc_1: 0.5176 top5_acc_1: 0.8353 loss_cls_1: 1.7939 2023/02/01 05:25:44 - mmengine - INFO - Epoch(train) [76][ 660/1879] lr: 9.1681e-02 eta: 1 day, 23:59:28 time: 0.5080 data_time: 0.0342 memory: 18108 grad_norm: 3.0493 loss: 4.2213 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3821 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 1.8393 2023/02/01 05:25:54 - mmengine - INFO - Epoch(train) [76][ 680/1879] lr: 9.1677e-02 eta: 1 day, 23:59:18 time: 0.5022 data_time: 0.0343 memory: 18108 grad_norm: 3.0464 loss: 4.4678 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.5555 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.9123 2023/02/01 05:26:04 - mmengine - INFO - Epoch(train) [76][ 700/1879] lr: 9.1673e-02 eta: 1 day, 23:59:08 time: 0.5107 data_time: 0.0360 memory: 18108 grad_norm: 3.0869 loss: 4.8456 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9133 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.9323 2023/02/01 05:26:14 - mmengine - INFO - Epoch(train) [76][ 720/1879] lr: 9.1669e-02 eta: 1 day, 23:58:58 time: 0.5088 data_time: 0.0328 memory: 18108 grad_norm: 3.0501 loss: 4.5468 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6277 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.9191 2023/02/01 05:26:25 - mmengine - INFO - Epoch(train) [76][ 740/1879] lr: 9.1664e-02 eta: 1 day, 23:58:48 time: 0.5247 data_time: 0.0346 memory: 18108 grad_norm: 3.0270 loss: 4.5329 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6170 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.9159 2023/02/01 05:26:35 - mmengine - INFO - Epoch(train) [76][ 760/1879] lr: 9.1660e-02 eta: 1 day, 23:58:39 time: 0.5245 data_time: 0.0367 memory: 18108 grad_norm: 3.3666 loss: 4.6429 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6501 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9928 2023/02/01 05:26:45 - mmengine - INFO - Epoch(train) [76][ 780/1879] lr: 9.1656e-02 eta: 1 day, 23:58:29 time: 0.5108 data_time: 0.0361 memory: 18108 grad_norm: 3.0731 loss: 4.4076 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4582 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9494 2023/02/01 05:26:56 - mmengine - INFO - Epoch(train) [76][ 800/1879] lr: 9.1652e-02 eta: 1 day, 23:58:19 time: 0.5210 data_time: 0.0317 memory: 18108 grad_norm: 3.1326 loss: 4.6660 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6752 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 1.9908 2023/02/01 05:27:06 - mmengine - INFO - Epoch(train) [76][ 820/1879] lr: 9.1648e-02 eta: 1 day, 23:58:09 time: 0.5131 data_time: 0.0352 memory: 18108 grad_norm: 3.0454 loss: 4.6292 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6357 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9935 2023/02/01 05:27:16 - mmengine - INFO - Epoch(train) [76][ 840/1879] lr: 9.1644e-02 eta: 1 day, 23:57:59 time: 0.5176 data_time: 0.0395 memory: 18108 grad_norm: 3.0067 loss: 4.4716 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5490 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 1.9226 2023/02/01 05:27:27 - mmengine - INFO - Epoch(train) [76][ 860/1879] lr: 9.1639e-02 eta: 1 day, 23:57:50 time: 0.5271 data_time: 0.0343 memory: 18108 grad_norm: 3.0637 loss: 4.6297 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6920 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.9378 2023/02/01 05:27:37 - mmengine - INFO - Epoch(train) [76][ 880/1879] lr: 9.1635e-02 eta: 1 day, 23:57:39 time: 0.4891 data_time: 0.0340 memory: 18108 grad_norm: 2.9958 loss: 4.4081 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.4847 top1_acc_1: 0.5882 top5_acc_1: 0.7294 loss_cls_1: 1.9234 2023/02/01 05:27:47 - mmengine - INFO - Epoch(train) [76][ 900/1879] lr: 9.1631e-02 eta: 1 day, 23:57:29 time: 0.5070 data_time: 0.0356 memory: 18108 grad_norm: 2.9669 loss: 4.5407 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.6510 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.8896 2023/02/01 05:27:57 - mmengine - INFO - Epoch(train) [76][ 920/1879] lr: 9.1627e-02 eta: 1 day, 23:57:18 time: 0.5046 data_time: 0.0384 memory: 18108 grad_norm: 3.1018 loss: 4.4814 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.5569 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 1.9245 2023/02/01 05:28:07 - mmengine - INFO - Epoch(train) [76][ 940/1879] lr: 9.1623e-02 eta: 1 day, 23:57:07 time: 0.4939 data_time: 0.0349 memory: 18108 grad_norm: 2.9705 loss: 4.4286 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.5362 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.8925 2023/02/01 05:28:17 - mmengine - INFO - Epoch(train) [76][ 960/1879] lr: 9.1618e-02 eta: 1 day, 23:56:56 time: 0.4857 data_time: 0.0333 memory: 18108 grad_norm: 3.0011 loss: 4.4820 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6102 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.8718 2023/02/01 05:28:27 - mmengine - INFO - Epoch(train) [76][ 980/1879] lr: 9.1614e-02 eta: 1 day, 23:56:46 time: 0.5035 data_time: 0.0371 memory: 18108 grad_norm: 2.9694 loss: 4.7562 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7938 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.9624 2023/02/01 05:28:37 - mmengine - INFO - Epoch(train) [76][1000/1879] lr: 9.1610e-02 eta: 1 day, 23:56:35 time: 0.4966 data_time: 0.0403 memory: 18108 grad_norm: 3.0071 loss: 4.6020 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7671 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8350 2023/02/01 05:28:46 - mmengine - INFO - Epoch(train) [76][1020/1879] lr: 9.1606e-02 eta: 1 day, 23:56:24 time: 0.4959 data_time: 0.0350 memory: 18108 grad_norm: 2.9954 loss: 4.6087 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.7049 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9038 2023/02/01 05:28:56 - mmengine - INFO - Epoch(train) [76][1040/1879] lr: 9.1602e-02 eta: 1 day, 23:56:13 time: 0.4915 data_time: 0.0358 memory: 18108 grad_norm: 3.0728 loss: 4.5277 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5922 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9356 2023/02/01 05:29:06 - mmengine - INFO - Epoch(train) [76][1060/1879] lr: 9.1598e-02 eta: 1 day, 23:56:02 time: 0.5031 data_time: 0.0355 memory: 18108 grad_norm: 2.9830 loss: 4.4070 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5866 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.8204 2023/02/01 05:29:14 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 05:29:16 - mmengine - INFO - Epoch(train) [76][1080/1879] lr: 9.1593e-02 eta: 1 day, 23:55:51 time: 0.4832 data_time: 0.0402 memory: 18108 grad_norm: 3.0180 loss: 4.3841 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4805 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.9035 2023/02/01 05:29:26 - mmengine - INFO - Epoch(train) [76][1100/1879] lr: 9.1589e-02 eta: 1 day, 23:55:41 time: 0.5055 data_time: 0.0365 memory: 18108 grad_norm: 2.9893 loss: 4.3822 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3667 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.0155 2023/02/01 05:29:36 - mmengine - INFO - Epoch(train) [76][1120/1879] lr: 9.1585e-02 eta: 1 day, 23:55:29 time: 0.4807 data_time: 0.0308 memory: 18108 grad_norm: 3.0318 loss: 4.4443 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.5561 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.8882 2023/02/01 05:29:46 - mmengine - INFO - Epoch(train) [76][1140/1879] lr: 9.1581e-02 eta: 1 day, 23:55:19 time: 0.5101 data_time: 0.0372 memory: 18108 grad_norm: 3.1146 loss: 4.5644 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5347 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 2.0297 2023/02/01 05:29:56 - mmengine - INFO - Epoch(train) [76][1160/1879] lr: 9.1577e-02 eta: 1 day, 23:55:08 time: 0.4894 data_time: 0.0411 memory: 18108 grad_norm: 3.0343 loss: 4.6208 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6986 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.9222 2023/02/01 05:30:06 - mmengine - INFO - Epoch(train) [76][1180/1879] lr: 9.1573e-02 eta: 1 day, 23:54:57 time: 0.4965 data_time: 0.0359 memory: 18108 grad_norm: 3.0478 loss: 4.6034 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6725 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9310 2023/02/01 05:30:15 - mmengine - INFO - Epoch(train) [76][1200/1879] lr: 9.1568e-02 eta: 1 day, 23:54:46 time: 0.4856 data_time: 0.0320 memory: 18108 grad_norm: 3.0029 loss: 4.3342 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4248 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9094 2023/02/01 05:30:26 - mmengine - INFO - Epoch(train) [76][1220/1879] lr: 9.1564e-02 eta: 1 day, 23:54:35 time: 0.5014 data_time: 0.0375 memory: 18108 grad_norm: 3.0598 loss: 4.4752 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5652 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9100 2023/02/01 05:30:36 - mmengine - INFO - Epoch(train) [76][1240/1879] lr: 9.1560e-02 eta: 1 day, 23:54:25 time: 0.5018 data_time: 0.0357 memory: 18108 grad_norm: 3.0486 loss: 4.5778 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.7349 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.8429 2023/02/01 05:30:45 - mmengine - INFO - Epoch(train) [76][1260/1879] lr: 9.1556e-02 eta: 1 day, 23:54:14 time: 0.4942 data_time: 0.0364 memory: 18108 grad_norm: 2.9945 loss: 4.4954 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.5644 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9311 2023/02/01 05:30:55 - mmengine - INFO - Epoch(train) [76][1280/1879] lr: 9.1552e-02 eta: 1 day, 23:54:03 time: 0.4837 data_time: 0.0294 memory: 18108 grad_norm: 3.0041 loss: 4.5478 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6133 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9345 2023/02/01 05:31:05 - mmengine - INFO - Epoch(train) [76][1300/1879] lr: 9.1547e-02 eta: 1 day, 23:53:53 time: 0.5167 data_time: 0.0468 memory: 18108 grad_norm: 2.9952 loss: 4.5460 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6209 top1_acc_1: 0.6353 top5_acc_1: 0.7529 loss_cls_1: 1.9250 2023/02/01 05:31:15 - mmengine - INFO - Epoch(train) [76][1320/1879] lr: 9.1543e-02 eta: 1 day, 23:53:41 time: 0.4844 data_time: 0.0284 memory: 18108 grad_norm: 3.0790 loss: 4.5806 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.6042 top1_acc_1: 0.4824 top5_acc_1: 0.6941 loss_cls_1: 1.9764 2023/02/01 05:31:25 - mmengine - INFO - Epoch(train) [76][1340/1879] lr: 9.1539e-02 eta: 1 day, 23:53:31 time: 0.4971 data_time: 0.0379 memory: 18108 grad_norm: 2.9734 loss: 4.5880 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7170 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8710 2023/02/01 05:31:35 - mmengine - INFO - Epoch(train) [76][1360/1879] lr: 9.1535e-02 eta: 1 day, 23:53:20 time: 0.5037 data_time: 0.0308 memory: 18108 grad_norm: 3.0735 loss: 4.5711 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.6348 top1_acc_1: 0.6941 top5_acc_1: 0.7882 loss_cls_1: 1.9363 2023/02/01 05:31:45 - mmengine - INFO - Epoch(train) [76][1380/1879] lr: 9.1531e-02 eta: 1 day, 23:53:10 time: 0.5060 data_time: 0.0374 memory: 18108 grad_norm: 3.0183 loss: 4.7328 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7869 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 1.9459 2023/02/01 05:31:55 - mmengine - INFO - Epoch(train) [76][1400/1879] lr: 9.1526e-02 eta: 1 day, 23:52:58 time: 0.4794 data_time: 0.0293 memory: 18108 grad_norm: 2.9653 loss: 4.5115 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5812 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9303 2023/02/01 05:32:05 - mmengine - INFO - Epoch(train) [76][1420/1879] lr: 9.1522e-02 eta: 1 day, 23:52:48 time: 0.4953 data_time: 0.0374 memory: 18108 grad_norm: 3.0040 loss: 4.7143 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7417 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.9726 2023/02/01 05:32:15 - mmengine - INFO - Epoch(train) [76][1440/1879] lr: 9.1518e-02 eta: 1 day, 23:52:38 time: 0.5224 data_time: 0.0285 memory: 18108 grad_norm: 2.9413 loss: 4.5996 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6396 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.9600 2023/02/01 05:32:25 - mmengine - INFO - Epoch(train) [76][1460/1879] lr: 9.1514e-02 eta: 1 day, 23:52:28 time: 0.5035 data_time: 0.0357 memory: 18108 grad_norm: 3.0301 loss: 4.4654 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.5501 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.9153 2023/02/01 05:32:35 - mmengine - INFO - Epoch(train) [76][1480/1879] lr: 9.1510e-02 eta: 1 day, 23:52:17 time: 0.4912 data_time: 0.0286 memory: 18108 grad_norm: 3.0076 loss: 4.4531 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.5770 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8761 2023/02/01 05:32:46 - mmengine - INFO - Epoch(train) [76][1500/1879] lr: 9.1505e-02 eta: 1 day, 23:52:07 time: 0.5181 data_time: 0.0408 memory: 18108 grad_norm: 3.0201 loss: 4.6057 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7597 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8460 2023/02/01 05:32:56 - mmengine - INFO - Epoch(train) [76][1520/1879] lr: 9.1501e-02 eta: 1 day, 23:51:56 time: 0.4990 data_time: 0.0296 memory: 18108 grad_norm: 3.0173 loss: 4.6782 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.7895 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8887 2023/02/01 05:33:06 - mmengine - INFO - Epoch(train) [76][1540/1879] lr: 9.1497e-02 eta: 1 day, 23:51:46 time: 0.5054 data_time: 0.0394 memory: 18108 grad_norm: 3.0150 loss: 4.5507 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7297 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.8210 2023/02/01 05:33:16 - mmengine - INFO - Epoch(train) [76][1560/1879] lr: 9.1493e-02 eta: 1 day, 23:51:36 time: 0.5106 data_time: 0.0360 memory: 18108 grad_norm: 2.9968 loss: 4.6235 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7916 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.8318 2023/02/01 05:33:26 - mmengine - INFO - Epoch(train) [76][1580/1879] lr: 9.1489e-02 eta: 1 day, 23:51:26 time: 0.5118 data_time: 0.0363 memory: 18108 grad_norm: 3.0186 loss: 4.5891 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6521 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.9370 2023/02/01 05:33:36 - mmengine - INFO - Epoch(train) [76][1600/1879] lr: 9.1484e-02 eta: 1 day, 23:51:14 time: 0.4882 data_time: 0.0283 memory: 18108 grad_norm: 2.9734 loss: 4.4602 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6378 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.8224 2023/02/01 05:33:46 - mmengine - INFO - Epoch(train) [76][1620/1879] lr: 9.1480e-02 eta: 1 day, 23:51:04 time: 0.5052 data_time: 0.0373 memory: 18108 grad_norm: 2.9756 loss: 4.4940 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.5979 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.8961 2023/02/01 05:33:56 - mmengine - INFO - Epoch(train) [76][1640/1879] lr: 9.1476e-02 eta: 1 day, 23:50:54 time: 0.5063 data_time: 0.0272 memory: 18108 grad_norm: 3.0383 loss: 4.6333 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6793 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9540 2023/02/01 05:34:06 - mmengine - INFO - Epoch(train) [76][1660/1879] lr: 9.1472e-02 eta: 1 day, 23:50:43 time: 0.5018 data_time: 0.0370 memory: 18108 grad_norm: 3.0521 loss: 4.6261 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6355 top1_acc_1: 0.4471 top5_acc_1: 0.7647 loss_cls_1: 1.9906 2023/02/01 05:34:16 - mmengine - INFO - Epoch(train) [76][1680/1879] lr: 9.1468e-02 eta: 1 day, 23:50:33 time: 0.5048 data_time: 0.0306 memory: 18108 grad_norm: 3.0560 loss: 4.6073 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6392 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9681 2023/02/01 05:34:26 - mmengine - INFO - Epoch(train) [76][1700/1879] lr: 9.1463e-02 eta: 1 day, 23:50:22 time: 0.4962 data_time: 0.0376 memory: 18108 grad_norm: 3.0357 loss: 4.4424 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6672 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.7753 2023/02/01 05:34:37 - mmengine - INFO - Epoch(train) [76][1720/1879] lr: 9.1459e-02 eta: 1 day, 23:50:12 time: 0.5127 data_time: 0.0286 memory: 18108 grad_norm: 3.0020 loss: 4.6102 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6361 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.9740 2023/02/01 05:34:47 - mmengine - INFO - Epoch(train) [76][1740/1879] lr: 9.1455e-02 eta: 1 day, 23:50:02 time: 0.5041 data_time: 0.0366 memory: 18108 grad_norm: 3.0180 loss: 4.7470 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8100 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.9371 2023/02/01 05:34:57 - mmengine - INFO - Epoch(train) [76][1760/1879] lr: 9.1451e-02 eta: 1 day, 23:49:51 time: 0.4963 data_time: 0.0292 memory: 18108 grad_norm: 3.0158 loss: 4.4646 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6748 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7898 2023/02/01 05:35:07 - mmengine - INFO - Epoch(train) [76][1780/1879] lr: 9.1447e-02 eta: 1 day, 23:49:41 time: 0.5226 data_time: 0.0379 memory: 18108 grad_norm: 3.1256 loss: 4.4758 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.5807 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.8951 2023/02/01 05:35:17 - mmengine - INFO - Epoch(train) [76][1800/1879] lr: 9.1442e-02 eta: 1 day, 23:49:30 time: 0.4875 data_time: 0.0279 memory: 18108 grad_norm: 3.0659 loss: 4.3760 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5444 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.8316 2023/02/01 05:35:27 - mmengine - INFO - Epoch(train) [76][1820/1879] lr: 9.1438e-02 eta: 1 day, 23:49:20 time: 0.5050 data_time: 0.0359 memory: 18108 grad_norm: 3.0251 loss: 4.5411 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.6568 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8843 2023/02/01 05:35:37 - mmengine - INFO - Epoch(train) [76][1840/1879] lr: 9.1434e-02 eta: 1 day, 23:49:09 time: 0.5002 data_time: 0.0277 memory: 18108 grad_norm: 3.0258 loss: 4.5197 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5899 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 1.9298 2023/02/01 05:35:47 - mmengine - INFO - Epoch(train) [76][1860/1879] lr: 9.1430e-02 eta: 1 day, 23:48:59 time: 0.5059 data_time: 0.0365 memory: 18108 grad_norm: 3.0350 loss: 4.8034 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7575 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 2.0459 2023/02/01 05:35:56 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 05:35:56 - mmengine - INFO - Epoch(train) [76][1879/1879] lr: 9.1426e-02 eta: 1 day, 23:48:48 time: 0.4743 data_time: 0.0272 memory: 18108 grad_norm: 3.0406 loss: 4.5989 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 2.6612 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.9377 2023/02/01 05:35:57 - mmengine - INFO - Saving checkpoint at 76 epochs 2023/02/01 05:36:07 - mmengine - INFO - Epoch(val) [76][ 20/155] eta: 0:01:01 time: 0.4570 data_time: 0.3445 memory: 1906 2023/02/01 05:36:16 - mmengine - INFO - Epoch(val) [76][ 40/155] eta: 0:00:51 time: 0.4408 data_time: 0.3294 memory: 1906 2023/02/01 05:36:25 - mmengine - INFO - Epoch(val) [76][ 60/155] eta: 0:00:42 time: 0.4288 data_time: 0.3157 memory: 1906 2023/02/01 05:36:34 - mmengine - INFO - Epoch(val) [76][ 80/155] eta: 0:00:33 time: 0.4572 data_time: 0.3464 memory: 1906 2023/02/01 05:36:43 - mmengine - INFO - Epoch(val) [76][100/155] eta: 0:00:24 time: 0.4453 data_time: 0.3327 memory: 1906 2023/02/01 05:36:52 - mmengine - INFO - Epoch(val) [76][120/155] eta: 0:00:15 time: 0.4645 data_time: 0.3540 memory: 1906 2023/02/01 05:37:01 - mmengine - INFO - Epoch(val) [76][140/155] eta: 0:00:06 time: 0.4364 data_time: 0.3263 memory: 1906 2023/02/01 05:37:08 - mmengine - INFO - Epoch(val) [76][155/155] acc/top1: 0.4510 acc/top5: 0.7235 acc/mean1: 0.4508 2023/02/01 05:37:08 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_64.pth is removed 2023/02/01 05:37:10 - mmengine - INFO - The best checkpoint with 0.4510 acc/top1 at 76 epoch is saved to best_acc/top1_epoch_76.pth. 2023/02/01 05:37:23 - mmengine - INFO - Epoch(train) [77][ 20/1879] lr: 9.1421e-02 eta: 1 day, 23:48:46 time: 0.6859 data_time: 0.2305 memory: 18108 grad_norm: 2.9329 loss: 4.1783 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4527 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.7256 2023/02/01 05:37:33 - mmengine - INFO - Epoch(train) [77][ 40/1879] lr: 9.1417e-02 eta: 1 day, 23:48:34 time: 0.4735 data_time: 0.0336 memory: 18108 grad_norm: 3.0122 loss: 4.2032 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4600 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7432 2023/02/01 05:37:43 - mmengine - INFO - Epoch(train) [77][ 60/1879] lr: 9.1413e-02 eta: 1 day, 23:48:24 time: 0.5151 data_time: 0.0545 memory: 18108 grad_norm: 3.0325 loss: 4.8389 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 3.0091 top1_acc_1: 0.6235 top5_acc_1: 0.7529 loss_cls_1: 1.8298 2023/02/01 05:37:53 - mmengine - INFO - Epoch(train) [77][ 80/1879] lr: 9.1409e-02 eta: 1 day, 23:48:13 time: 0.4851 data_time: 0.0314 memory: 18108 grad_norm: 3.0084 loss: 4.6468 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7817 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8650 2023/02/01 05:38:03 - mmengine - INFO - Epoch(train) [77][ 100/1879] lr: 9.1405e-02 eta: 1 day, 23:48:02 time: 0.4893 data_time: 0.0396 memory: 18108 grad_norm: 2.9771 loss: 4.3916 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5143 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.8773 2023/02/01 05:38:12 - mmengine - INFO - Epoch(train) [77][ 120/1879] lr: 9.1400e-02 eta: 1 day, 23:47:50 time: 0.4849 data_time: 0.0322 memory: 18108 grad_norm: 3.0514 loss: 4.2362 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3709 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.8653 2023/02/01 05:38:23 - mmengine - INFO - Epoch(train) [77][ 140/1879] lr: 9.1396e-02 eta: 1 day, 23:47:41 time: 0.5274 data_time: 0.0363 memory: 18108 grad_norm: 3.0506 loss: 4.4998 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.6410 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.8588 2023/02/01 05:38:33 - mmengine - INFO - Epoch(train) [77][ 160/1879] lr: 9.1392e-02 eta: 1 day, 23:47:30 time: 0.4970 data_time: 0.0314 memory: 18108 grad_norm: 3.0089 loss: 4.5077 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6890 top1_acc_1: 0.4588 top5_acc_1: 0.7412 loss_cls_1: 1.8187 2023/02/01 05:38:43 - mmengine - INFO - Epoch(train) [77][ 180/1879] lr: 9.1388e-02 eta: 1 day, 23:47:19 time: 0.4932 data_time: 0.0369 memory: 18108 grad_norm: 3.0077 loss: 4.5424 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7104 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.8320 2023/02/01 05:38:51 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 05:38:53 - mmengine - INFO - Epoch(train) [77][ 200/1879] lr: 9.1383e-02 eta: 1 day, 23:47:10 time: 0.5192 data_time: 0.0381 memory: 18108 grad_norm: 3.0811 loss: 4.5748 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.7702 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.8046 2023/02/01 05:39:03 - mmengine - INFO - Epoch(train) [77][ 220/1879] lr: 9.1379e-02 eta: 1 day, 23:46:59 time: 0.5024 data_time: 0.0375 memory: 18108 grad_norm: 3.0699 loss: 4.7203 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8561 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8642 2023/02/01 05:39:13 - mmengine - INFO - Epoch(train) [77][ 240/1879] lr: 9.1375e-02 eta: 1 day, 23:46:49 time: 0.5020 data_time: 0.0317 memory: 18108 grad_norm: 3.0265 loss: 4.4592 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6080 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.8511 2023/02/01 05:39:24 - mmengine - INFO - Epoch(train) [77][ 260/1879] lr: 9.1371e-02 eta: 1 day, 23:46:39 time: 0.5247 data_time: 0.0370 memory: 18108 grad_norm: 3.0361 loss: 4.4121 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5926 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.8195 2023/02/01 05:39:34 - mmengine - INFO - Epoch(train) [77][ 280/1879] lr: 9.1367e-02 eta: 1 day, 23:46:29 time: 0.5123 data_time: 0.0335 memory: 18108 grad_norm: 2.9888 loss: 4.6642 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.8373 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.8269 2023/02/01 05:39:44 - mmengine - INFO - Epoch(train) [77][ 300/1879] lr: 9.1362e-02 eta: 1 day, 23:46:19 time: 0.5084 data_time: 0.0370 memory: 18108 grad_norm: 3.0456 loss: 4.7584 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.8460 top1_acc_1: 0.5176 top5_acc_1: 0.6706 loss_cls_1: 1.9124 2023/02/01 05:39:55 - mmengine - INFO - Epoch(train) [77][ 320/1879] lr: 9.1358e-02 eta: 1 day, 23:46:09 time: 0.5160 data_time: 0.0304 memory: 18108 grad_norm: 2.9546 loss: 4.7109 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8269 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.8840 2023/02/01 05:40:05 - mmengine - INFO - Epoch(train) [77][ 340/1879] lr: 9.1354e-02 eta: 1 day, 23:45:59 time: 0.5202 data_time: 0.0453 memory: 18108 grad_norm: 3.0316 loss: 4.6363 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.7660 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.8704 2023/02/01 05:40:15 - mmengine - INFO - Epoch(train) [77][ 360/1879] lr: 9.1350e-02 eta: 1 day, 23:45:49 time: 0.5046 data_time: 0.0312 memory: 18108 grad_norm: 2.9921 loss: 4.3474 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4692 top1_acc_1: 0.5529 top5_acc_1: 0.7059 loss_cls_1: 1.8782 2023/02/01 05:40:25 - mmengine - INFO - Epoch(train) [77][ 380/1879] lr: 9.1345e-02 eta: 1 day, 23:45:39 time: 0.5101 data_time: 0.0358 memory: 18108 grad_norm: 3.0309 loss: 4.4997 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6196 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.8801 2023/02/01 05:40:36 - mmengine - INFO - Epoch(train) [77][ 400/1879] lr: 9.1341e-02 eta: 1 day, 23:45:29 time: 0.5098 data_time: 0.0300 memory: 18108 grad_norm: 2.9473 loss: 4.3557 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5804 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.7754 2023/02/01 05:40:46 - mmengine - INFO - Epoch(train) [77][ 420/1879] lr: 9.1337e-02 eta: 1 day, 23:45:19 time: 0.5071 data_time: 0.0458 memory: 18108 grad_norm: 3.0256 loss: 4.5849 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7599 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8250 2023/02/01 05:40:56 - mmengine - INFO - Epoch(train) [77][ 440/1879] lr: 9.1333e-02 eta: 1 day, 23:45:08 time: 0.4948 data_time: 0.0319 memory: 18108 grad_norm: 3.0072 loss: 4.7384 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7304 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.0080 2023/02/01 05:41:06 - mmengine - INFO - Epoch(train) [77][ 460/1879] lr: 9.1328e-02 eta: 1 day, 23:44:58 time: 0.5255 data_time: 0.0393 memory: 18108 grad_norm: 3.0794 loss: 4.4258 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5597 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.8660 2023/02/01 05:41:16 - mmengine - INFO - Epoch(train) [77][ 480/1879] lr: 9.1324e-02 eta: 1 day, 23:44:48 time: 0.5044 data_time: 0.0410 memory: 18108 grad_norm: 2.9893 loss: 4.5319 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.6353 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8966 2023/02/01 05:41:26 - mmengine - INFO - Epoch(train) [77][ 500/1879] lr: 9.1320e-02 eta: 1 day, 23:44:37 time: 0.5031 data_time: 0.0369 memory: 18108 grad_norm: 3.0096 loss: 4.4465 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6425 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.8040 2023/02/01 05:41:37 - mmengine - INFO - Epoch(train) [77][ 520/1879] lr: 9.1316e-02 eta: 1 day, 23:44:28 time: 0.5168 data_time: 0.0301 memory: 18108 grad_norm: 3.0516 loss: 4.3948 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5441 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8507 2023/02/01 05:41:47 - mmengine - INFO - Epoch(train) [77][ 540/1879] lr: 9.1311e-02 eta: 1 day, 23:44:18 time: 0.5177 data_time: 0.0448 memory: 18108 grad_norm: 2.9947 loss: 4.5617 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7452 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.8165 2023/02/01 05:41:57 - mmengine - INFO - Epoch(train) [77][ 560/1879] lr: 9.1307e-02 eta: 1 day, 23:44:07 time: 0.4994 data_time: 0.0301 memory: 18108 grad_norm: 2.9709 loss: 4.7188 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7950 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9238 2023/02/01 05:42:07 - mmengine - INFO - Epoch(train) [77][ 580/1879] lr: 9.1303e-02 eta: 1 day, 23:43:57 time: 0.5154 data_time: 0.0370 memory: 18108 grad_norm: 2.9963 loss: 4.5762 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7895 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7867 2023/02/01 05:42:17 - mmengine - INFO - Epoch(train) [77][ 600/1879] lr: 9.1299e-02 eta: 1 day, 23:43:47 time: 0.5007 data_time: 0.0313 memory: 18108 grad_norm: 3.0290 loss: 4.6629 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7730 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.8899 2023/02/01 05:42:28 - mmengine - INFO - Epoch(train) [77][ 620/1879] lr: 9.1295e-02 eta: 1 day, 23:43:37 time: 0.5119 data_time: 0.0452 memory: 18108 grad_norm: 3.0039 loss: 4.5712 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6437 top1_acc_1: 0.4941 top5_acc_1: 0.6941 loss_cls_1: 1.9276 2023/02/01 05:42:38 - mmengine - INFO - Epoch(train) [77][ 640/1879] lr: 9.1290e-02 eta: 1 day, 23:43:26 time: 0.5042 data_time: 0.0325 memory: 18108 grad_norm: 2.9615 loss: 4.6320 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7151 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.9169 2023/02/01 05:42:48 - mmengine - INFO - Epoch(train) [77][ 660/1879] lr: 9.1286e-02 eta: 1 day, 23:43:17 time: 0.5336 data_time: 0.0369 memory: 18108 grad_norm: 3.0386 loss: 4.5327 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6671 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8656 2023/02/01 05:42:59 - mmengine - INFO - Epoch(train) [77][ 680/1879] lr: 9.1282e-02 eta: 1 day, 23:43:07 time: 0.5066 data_time: 0.0323 memory: 18108 grad_norm: 3.0522 loss: 4.3407 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5260 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.8147 2023/02/01 05:43:09 - mmengine - INFO - Epoch(train) [77][ 700/1879] lr: 9.1278e-02 eta: 1 day, 23:42:57 time: 0.5177 data_time: 0.0384 memory: 18108 grad_norm: 3.0363 loss: 4.5033 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6481 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.8552 2023/02/01 05:43:19 - mmengine - INFO - Epoch(train) [77][ 720/1879] lr: 9.1273e-02 eta: 1 day, 23:42:48 time: 0.5265 data_time: 0.0325 memory: 18108 grad_norm: 2.9949 loss: 4.5704 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6654 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.9050 2023/02/01 05:43:30 - mmengine - INFO - Epoch(train) [77][ 740/1879] lr: 9.1269e-02 eta: 1 day, 23:42:38 time: 0.5101 data_time: 0.0361 memory: 18108 grad_norm: 2.9834 loss: 4.3316 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4325 top1_acc_1: 0.4235 top5_acc_1: 0.7294 loss_cls_1: 1.8991 2023/02/01 05:43:40 - mmengine - INFO - Epoch(train) [77][ 760/1879] lr: 9.1265e-02 eta: 1 day, 23:42:28 time: 0.5121 data_time: 0.0402 memory: 18108 grad_norm: 3.0480 loss: 4.5468 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.7066 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8402 2023/02/01 05:43:50 - mmengine - INFO - Epoch(train) [77][ 780/1879] lr: 9.1261e-02 eta: 1 day, 23:42:18 time: 0.5209 data_time: 0.0377 memory: 18108 grad_norm: 3.0229 loss: 4.6145 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.7819 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8326 2023/02/01 05:44:01 - mmengine - INFO - Epoch(train) [77][ 800/1879] lr: 9.1256e-02 eta: 1 day, 23:42:09 time: 0.5229 data_time: 0.0310 memory: 18108 grad_norm: 3.0152 loss: 4.4456 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5138 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.9318 2023/02/01 05:44:11 - mmengine - INFO - Epoch(train) [77][ 820/1879] lr: 9.1252e-02 eta: 1 day, 23:41:59 time: 0.5240 data_time: 0.0457 memory: 18108 grad_norm: 2.9885 loss: 4.7590 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.8651 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.8939 2023/02/01 05:44:21 - mmengine - INFO - Epoch(train) [77][ 840/1879] lr: 9.1248e-02 eta: 1 day, 23:41:49 time: 0.4992 data_time: 0.0318 memory: 18108 grad_norm: 3.0426 loss: 4.4654 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5193 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.9461 2023/02/01 05:44:32 - mmengine - INFO - Epoch(train) [77][ 860/1879] lr: 9.1243e-02 eta: 1 day, 23:41:39 time: 0.5276 data_time: 0.0378 memory: 18108 grad_norm: 3.0505 loss: 4.5842 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6667 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 1.9175 2023/02/01 05:44:42 - mmengine - INFO - Epoch(train) [77][ 880/1879] lr: 9.1239e-02 eta: 1 day, 23:41:29 time: 0.5176 data_time: 0.0418 memory: 18108 grad_norm: 2.9654 loss: 4.2341 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.3097 top1_acc_1: 0.4824 top5_acc_1: 0.6706 loss_cls_1: 1.9244 2023/02/01 05:44:53 - mmengine - INFO - Epoch(train) [77][ 900/1879] lr: 9.1235e-02 eta: 1 day, 23:41:20 time: 0.5155 data_time: 0.0362 memory: 18108 grad_norm: 2.9985 loss: 4.5038 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6613 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.8425 2023/02/01 05:45:03 - mmengine - INFO - Epoch(train) [77][ 920/1879] lr: 9.1231e-02 eta: 1 day, 23:41:09 time: 0.5051 data_time: 0.0314 memory: 18108 grad_norm: 2.9755 loss: 4.4551 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5824 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.8727 2023/02/01 05:45:13 - mmengine - INFO - Epoch(train) [77][ 940/1879] lr: 9.1226e-02 eta: 1 day, 23:41:00 time: 0.5237 data_time: 0.0362 memory: 18108 grad_norm: 3.0051 loss: 4.2198 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3116 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9082 2023/02/01 05:45:24 - mmengine - INFO - Epoch(train) [77][ 960/1879] lr: 9.1222e-02 eta: 1 day, 23:40:51 time: 0.5311 data_time: 0.0413 memory: 18108 grad_norm: 2.9969 loss: 4.3943 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5114 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 1.8829 2023/02/01 05:45:34 - mmengine - INFO - Epoch(train) [77][ 980/1879] lr: 9.1218e-02 eta: 1 day, 23:40:41 time: 0.5125 data_time: 0.0376 memory: 18108 grad_norm: 2.9882 loss: 4.5701 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5767 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.9935 2023/02/01 05:45:45 - mmengine - INFO - Epoch(train) [77][1000/1879] lr: 9.1214e-02 eta: 1 day, 23:40:32 time: 0.5414 data_time: 0.0307 memory: 18108 grad_norm: 2.9990 loss: 4.6621 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.7396 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.9225 2023/02/01 05:45:56 - mmengine - INFO - Epoch(train) [77][1020/1879] lr: 9.1209e-02 eta: 1 day, 23:40:23 time: 0.5320 data_time: 0.0452 memory: 18108 grad_norm: 3.0475 loss: 4.5042 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5846 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.9196 2023/02/01 05:46:06 - mmengine - INFO - Epoch(train) [77][1040/1879] lr: 9.1205e-02 eta: 1 day, 23:40:13 time: 0.5187 data_time: 0.0331 memory: 18108 grad_norm: 2.9850 loss: 4.6506 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6959 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9547 2023/02/01 05:46:16 - mmengine - INFO - Epoch(train) [77][1060/1879] lr: 9.1201e-02 eta: 1 day, 23:40:04 time: 0.5209 data_time: 0.0357 memory: 18108 grad_norm: 3.0213 loss: 4.5183 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6118 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.9065 2023/02/01 05:46:27 - mmengine - INFO - Epoch(train) [77][1080/1879] lr: 9.1197e-02 eta: 1 day, 23:39:54 time: 0.5338 data_time: 0.0310 memory: 18108 grad_norm: 3.0853 loss: 4.6294 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7248 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9046 2023/02/01 05:46:38 - mmengine - INFO - Epoch(train) [77][1100/1879] lr: 9.1192e-02 eta: 1 day, 23:39:45 time: 0.5279 data_time: 0.0386 memory: 18108 grad_norm: 3.0466 loss: 4.6927 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8735 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8193 2023/02/01 05:46:48 - mmengine - INFO - Epoch(train) [77][1120/1879] lr: 9.1188e-02 eta: 1 day, 23:39:36 time: 0.5290 data_time: 0.0304 memory: 18108 grad_norm: 2.9795 loss: 4.3866 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5654 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8212 2023/02/01 05:46:59 - mmengine - INFO - Epoch(train) [77][1140/1879] lr: 9.1184e-02 eta: 1 day, 23:39:27 time: 0.5283 data_time: 0.0356 memory: 18108 grad_norm: 3.0090 loss: 4.5955 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.5669 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 2.0287 2023/02/01 05:47:09 - mmengine - INFO - Epoch(train) [77][1160/1879] lr: 9.1180e-02 eta: 1 day, 23:39:18 time: 0.5340 data_time: 0.0404 memory: 18108 grad_norm: 3.0788 loss: 4.5403 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.6014 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.9388 2023/02/01 05:47:20 - mmengine - INFO - Epoch(train) [77][1180/1879] lr: 9.1175e-02 eta: 1 day, 23:39:08 time: 0.5158 data_time: 0.0355 memory: 18108 grad_norm: 3.0162 loss: 4.4389 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5250 top1_acc_1: 0.6353 top5_acc_1: 0.7647 loss_cls_1: 1.9139 2023/02/01 05:47:28 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 05:47:30 - mmengine - INFO - Epoch(train) [77][1200/1879] lr: 9.1171e-02 eta: 1 day, 23:38:59 time: 0.5284 data_time: 0.0321 memory: 18108 grad_norm: 3.0157 loss: 4.3222 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5420 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7802 2023/02/01 05:47:41 - mmengine - INFO - Epoch(train) [77][1220/1879] lr: 9.1167e-02 eta: 1 day, 23:38:49 time: 0.5206 data_time: 0.0355 memory: 18108 grad_norm: 3.0794 loss: 4.6134 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.7268 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.8866 2023/02/01 05:47:51 - mmengine - INFO - Epoch(train) [77][1240/1879] lr: 9.1162e-02 eta: 1 day, 23:38:39 time: 0.5201 data_time: 0.0304 memory: 18108 grad_norm: 3.0352 loss: 4.6416 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7336 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9080 2023/02/01 05:48:02 - mmengine - INFO - Epoch(train) [77][1260/1879] lr: 9.1158e-02 eta: 1 day, 23:38:30 time: 0.5276 data_time: 0.0372 memory: 18108 grad_norm: 3.0758 loss: 4.4061 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4487 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9574 2023/02/01 05:48:12 - mmengine - INFO - Epoch(train) [77][1280/1879] lr: 9.1154e-02 eta: 1 day, 23:38:20 time: 0.5202 data_time: 0.0303 memory: 18108 grad_norm: 3.0237 loss: 4.6998 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7449 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9549 2023/02/01 05:48:23 - mmengine - INFO - Epoch(train) [77][1300/1879] lr: 9.1150e-02 eta: 1 day, 23:38:11 time: 0.5335 data_time: 0.0474 memory: 18108 grad_norm: 3.0435 loss: 4.8475 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.9858 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8617 2023/02/01 05:48:33 - mmengine - INFO - Epoch(train) [77][1320/1879] lr: 9.1145e-02 eta: 1 day, 23:38:01 time: 0.5176 data_time: 0.0322 memory: 18108 grad_norm: 3.0096 loss: 4.9565 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.9899 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9666 2023/02/01 05:48:44 - mmengine - INFO - Epoch(train) [77][1340/1879] lr: 9.1141e-02 eta: 1 day, 23:37:53 time: 0.5492 data_time: 0.0360 memory: 18108 grad_norm: 3.0185 loss: 4.6201 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.7008 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9193 2023/02/01 05:48:55 - mmengine - INFO - Epoch(train) [77][1360/1879] lr: 9.1137e-02 eta: 1 day, 23:37:43 time: 0.5127 data_time: 0.0323 memory: 18108 grad_norm: 3.0298 loss: 4.6726 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7352 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9373 2023/02/01 05:49:05 - mmengine - INFO - Epoch(train) [77][1380/1879] lr: 9.1132e-02 eta: 1 day, 23:37:33 time: 0.5125 data_time: 0.0472 memory: 18108 grad_norm: 3.0174 loss: 4.5188 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.6833 top1_acc_1: 0.6471 top5_acc_1: 0.7529 loss_cls_1: 1.8356 2023/02/01 05:49:15 - mmengine - INFO - Epoch(train) [77][1400/1879] lr: 9.1128e-02 eta: 1 day, 23:37:24 time: 0.5286 data_time: 0.0314 memory: 18108 grad_norm: 2.9923 loss: 4.5502 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6267 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9235 2023/02/01 05:49:26 - mmengine - INFO - Epoch(train) [77][1420/1879] lr: 9.1124e-02 eta: 1 day, 23:37:14 time: 0.5088 data_time: 0.0366 memory: 18108 grad_norm: 2.9737 loss: 4.6553 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6575 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.9978 2023/02/01 05:49:36 - mmengine - INFO - Epoch(train) [77][1440/1879] lr: 9.1120e-02 eta: 1 day, 23:37:04 time: 0.5158 data_time: 0.0297 memory: 18108 grad_norm: 3.0185 loss: 4.4873 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5724 top1_acc_1: 0.6353 top5_acc_1: 0.7647 loss_cls_1: 1.9149 2023/02/01 05:49:47 - mmengine - INFO - Epoch(train) [77][1460/1879] lr: 9.1115e-02 eta: 1 day, 23:36:55 time: 0.5432 data_time: 0.0336 memory: 18108 grad_norm: 3.0919 loss: 4.6330 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.7129 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.9201 2023/02/01 05:49:57 - mmengine - INFO - Epoch(train) [77][1480/1879] lr: 9.1111e-02 eta: 1 day, 23:36:45 time: 0.5093 data_time: 0.0297 memory: 18108 grad_norm: 3.0682 loss: 4.7151 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.8200 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.8951 2023/02/01 05:50:07 - mmengine - INFO - Epoch(train) [77][1500/1879] lr: 9.1107e-02 eta: 1 day, 23:36:35 time: 0.5064 data_time: 0.0377 memory: 18108 grad_norm: 3.0135 loss: 4.5135 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5226 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9909 2023/02/01 05:50:17 - mmengine - INFO - Epoch(train) [77][1520/1879] lr: 9.1102e-02 eta: 1 day, 23:36:24 time: 0.5049 data_time: 0.0301 memory: 18108 grad_norm: 3.0525 loss: 4.6233 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7375 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.8859 2023/02/01 05:50:28 - mmengine - INFO - Epoch(train) [77][1540/1879] lr: 9.1098e-02 eta: 1 day, 23:36:15 time: 0.5254 data_time: 0.0435 memory: 18108 grad_norm: 2.9940 loss: 4.6042 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7428 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.8614 2023/02/01 05:50:38 - mmengine - INFO - Epoch(train) [77][1560/1879] lr: 9.1094e-02 eta: 1 day, 23:36:05 time: 0.5168 data_time: 0.0314 memory: 18108 grad_norm: 2.9761 loss: 4.7814 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8697 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.9117 2023/02/01 05:50:48 - mmengine - INFO - Epoch(train) [77][1580/1879] lr: 9.1090e-02 eta: 1 day, 23:35:55 time: 0.5023 data_time: 0.0377 memory: 18108 grad_norm: 3.0072 loss: 4.5418 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5935 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9483 2023/02/01 05:50:58 - mmengine - INFO - Epoch(train) [77][1600/1879] lr: 9.1085e-02 eta: 1 day, 23:35:45 time: 0.5108 data_time: 0.0303 memory: 18108 grad_norm: 3.0203 loss: 4.4667 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6299 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8368 2023/02/01 05:51:09 - mmengine - INFO - Epoch(train) [77][1620/1879] lr: 9.1081e-02 eta: 1 day, 23:35:34 time: 0.5098 data_time: 0.0468 memory: 18108 grad_norm: 3.1136 loss: 4.5618 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6164 top1_acc_1: 0.6706 top5_acc_1: 0.8000 loss_cls_1: 1.9454 2023/02/01 05:51:19 - mmengine - INFO - Epoch(train) [77][1640/1879] lr: 9.1077e-02 eta: 1 day, 23:35:24 time: 0.5035 data_time: 0.0314 memory: 18108 grad_norm: 2.9805 loss: 4.5611 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5645 top1_acc_1: 0.4706 top5_acc_1: 0.6588 loss_cls_1: 1.9965 2023/02/01 05:51:29 - mmengine - INFO - Epoch(train) [77][1660/1879] lr: 9.1072e-02 eta: 1 day, 23:35:15 time: 0.5261 data_time: 0.0363 memory: 18108 grad_norm: 3.0197 loss: 4.5051 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5067 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 1.9983 2023/02/01 05:51:39 - mmengine - INFO - Epoch(train) [77][1680/1879] lr: 9.1068e-02 eta: 1 day, 23:35:05 time: 0.5118 data_time: 0.0437 memory: 18108 grad_norm: 3.0241 loss: 4.6280 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.7591 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8689 2023/02/01 05:51:50 - mmengine - INFO - Epoch(train) [77][1700/1879] lr: 9.1064e-02 eta: 1 day, 23:34:54 time: 0.5067 data_time: 0.0372 memory: 18108 grad_norm: 3.0297 loss: 4.6742 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 2.7127 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9614 2023/02/01 05:51:59 - mmengine - INFO - Epoch(train) [77][1720/1879] lr: 9.1060e-02 eta: 1 day, 23:34:43 time: 0.4959 data_time: 0.0304 memory: 18108 grad_norm: 2.9961 loss: 4.8094 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8139 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.9955 2023/02/01 05:52:10 - mmengine - INFO - Epoch(train) [77][1740/1879] lr: 9.1055e-02 eta: 1 day, 23:34:33 time: 0.5073 data_time: 0.0379 memory: 18108 grad_norm: 2.9539 loss: 4.7953 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.8380 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.9572 2023/02/01 05:52:20 - mmengine - INFO - Epoch(train) [77][1760/1879] lr: 9.1051e-02 eta: 1 day, 23:34:23 time: 0.4990 data_time: 0.0404 memory: 18108 grad_norm: 3.0083 loss: 4.3679 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4458 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.9222 2023/02/01 05:52:30 - mmengine - INFO - Epoch(train) [77][1780/1879] lr: 9.1047e-02 eta: 1 day, 23:34:12 time: 0.5061 data_time: 0.0372 memory: 18108 grad_norm: 3.0287 loss: 4.7509 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7878 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.9631 2023/02/01 05:52:40 - mmengine - INFO - Epoch(train) [77][1800/1879] lr: 9.1042e-02 eta: 1 day, 23:34:02 time: 0.4973 data_time: 0.0325 memory: 18108 grad_norm: 3.0397 loss: 4.6272 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.6352 top1_acc_1: 0.4941 top5_acc_1: 0.8118 loss_cls_1: 1.9920 2023/02/01 05:52:50 - mmengine - INFO - Epoch(train) [77][1820/1879] lr: 9.1038e-02 eta: 1 day, 23:33:51 time: 0.5056 data_time: 0.0431 memory: 18108 grad_norm: 2.9764 loss: 4.3369 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.5084 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.8285 2023/02/01 05:53:00 - mmengine - INFO - Epoch(train) [77][1840/1879] lr: 9.1034e-02 eta: 1 day, 23:33:40 time: 0.4951 data_time: 0.0346 memory: 18108 grad_norm: 3.0086 loss: 4.3225 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4418 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.8807 2023/02/01 05:53:10 - mmengine - INFO - Epoch(train) [77][1860/1879] lr: 9.1029e-02 eta: 1 day, 23:33:30 time: 0.5060 data_time: 0.0349 memory: 18108 grad_norm: 3.0031 loss: 4.3416 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4445 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.8971 2023/02/01 05:53:19 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 05:53:19 - mmengine - INFO - Epoch(train) [77][1879/1879] lr: 9.1025e-02 eta: 1 day, 23:33:19 time: 0.4799 data_time: 0.0307 memory: 18108 grad_norm: 3.0625 loss: 4.5660 top1_acc_0: 0.5714 top5_acc_0: 1.0000 loss_cls_0: 2.6721 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.8940 2023/02/01 05:53:34 - mmengine - INFO - Epoch(train) [78][ 20/1879] lr: 9.1021e-02 eta: 1 day, 23:33:18 time: 0.7098 data_time: 0.2539 memory: 18108 grad_norm: 2.9657 loss: 4.3815 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4641 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9174 2023/02/01 05:53:43 - mmengine - INFO - Epoch(train) [78][ 40/1879] lr: 9.1017e-02 eta: 1 day, 23:33:06 time: 0.4721 data_time: 0.0324 memory: 18108 grad_norm: 2.9906 loss: 4.4801 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.6505 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8297 2023/02/01 05:53:53 - mmengine - INFO - Epoch(train) [78][ 60/1879] lr: 9.1012e-02 eta: 1 day, 23:32:55 time: 0.4813 data_time: 0.0371 memory: 18108 grad_norm: 2.9471 loss: 4.3392 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4646 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 1.8746 2023/02/01 05:54:03 - mmengine - INFO - Epoch(train) [78][ 80/1879] lr: 9.1008e-02 eta: 1 day, 23:32:45 time: 0.5055 data_time: 0.0328 memory: 18108 grad_norm: 3.0603 loss: 4.5573 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6256 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.9318 2023/02/01 05:54:13 - mmengine - INFO - Epoch(train) [78][ 100/1879] lr: 9.1004e-02 eta: 1 day, 23:32:33 time: 0.4811 data_time: 0.0371 memory: 18108 grad_norm: 3.0343 loss: 4.4884 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6490 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.8394 2023/02/01 05:54:22 - mmengine - INFO - Epoch(train) [78][ 120/1879] lr: 9.0999e-02 eta: 1 day, 23:32:21 time: 0.4694 data_time: 0.0337 memory: 18108 grad_norm: 3.0642 loss: 4.5197 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6076 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 1.9121 2023/02/01 05:54:32 - mmengine - INFO - Epoch(train) [78][ 140/1879] lr: 9.0995e-02 eta: 1 day, 23:32:10 time: 0.4942 data_time: 0.0361 memory: 18108 grad_norm: 3.0146 loss: 4.3836 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4954 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8882 2023/02/01 05:54:42 - mmengine - INFO - Epoch(train) [78][ 160/1879] lr: 9.0991e-02 eta: 1 day, 23:31:58 time: 0.4742 data_time: 0.0324 memory: 18108 grad_norm: 2.9530 loss: 4.4896 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6285 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 1.8611 2023/02/01 05:54:51 - mmengine - INFO - Epoch(train) [78][ 180/1879] lr: 9.0987e-02 eta: 1 day, 23:31:47 time: 0.4807 data_time: 0.0359 memory: 18108 grad_norm: 3.0282 loss: 4.5081 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.6697 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.8384 2023/02/01 05:55:01 - mmengine - INFO - Epoch(train) [78][ 200/1879] lr: 9.0982e-02 eta: 1 day, 23:31:35 time: 0.4672 data_time: 0.0319 memory: 18108 grad_norm: 3.0248 loss: 4.6631 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7761 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8870 2023/02/01 05:55:11 - mmengine - INFO - Epoch(train) [78][ 220/1879] lr: 9.0978e-02 eta: 1 day, 23:31:25 time: 0.5254 data_time: 0.0428 memory: 18108 grad_norm: 3.0293 loss: 4.4534 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6389 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.8145 2023/02/01 05:55:21 - mmengine - INFO - Epoch(train) [78][ 240/1879] lr: 9.0974e-02 eta: 1 day, 23:31:13 time: 0.4716 data_time: 0.0334 memory: 18108 grad_norm: 2.9971 loss: 4.2232 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4415 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7818 2023/02/01 05:55:30 - mmengine - INFO - Epoch(train) [78][ 260/1879] lr: 9.0969e-02 eta: 1 day, 23:31:02 time: 0.4843 data_time: 0.0345 memory: 18108 grad_norm: 3.0355 loss: 4.5196 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6708 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.8488 2023/02/01 05:55:40 - mmengine - INFO - Epoch(train) [78][ 280/1879] lr: 9.0965e-02 eta: 1 day, 23:30:51 time: 0.4815 data_time: 0.0324 memory: 18108 grad_norm: 2.9919 loss: 4.4479 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6860 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.7619 2023/02/01 05:55:50 - mmengine - INFO - Epoch(train) [78][ 300/1879] lr: 9.0961e-02 eta: 1 day, 23:30:40 time: 0.5082 data_time: 0.0440 memory: 18108 grad_norm: 3.0817 loss: 4.4796 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5694 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.9102 2023/02/01 05:55:58 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 05:55:59 - mmengine - INFO - Epoch(train) [78][ 320/1879] lr: 9.0956e-02 eta: 1 day, 23:30:28 time: 0.4696 data_time: 0.0340 memory: 18108 grad_norm: 3.0230 loss: 4.5827 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6661 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 1.9165 2023/02/01 05:56:09 - mmengine - INFO - Epoch(train) [78][ 340/1879] lr: 9.0952e-02 eta: 1 day, 23:30:18 time: 0.4951 data_time: 0.0371 memory: 18108 grad_norm: 3.0743 loss: 4.4305 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5847 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8457 2023/02/01 05:56:19 - mmengine - INFO - Epoch(train) [78][ 360/1879] lr: 9.0948e-02 eta: 1 day, 23:30:06 time: 0.4808 data_time: 0.0339 memory: 18108 grad_norm: 3.0349 loss: 4.3118 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5424 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.7694 2023/02/01 05:56:29 - mmengine - INFO - Epoch(train) [78][ 380/1879] lr: 9.0943e-02 eta: 1 day, 23:29:55 time: 0.4913 data_time: 0.0426 memory: 18108 grad_norm: 3.0099 loss: 4.5434 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6166 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9269 2023/02/01 05:56:38 - mmengine - INFO - Epoch(train) [78][ 400/1879] lr: 9.0939e-02 eta: 1 day, 23:29:43 time: 0.4783 data_time: 0.0347 memory: 18108 grad_norm: 2.9732 loss: 4.7017 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7106 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.9911 2023/02/01 05:56:48 - mmengine - INFO - Epoch(train) [78][ 420/1879] lr: 9.0935e-02 eta: 1 day, 23:29:32 time: 0.4894 data_time: 0.0360 memory: 18108 grad_norm: 3.0293 loss: 4.4724 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6125 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8599 2023/02/01 05:56:58 - mmengine - INFO - Epoch(train) [78][ 440/1879] lr: 9.0930e-02 eta: 1 day, 23:29:21 time: 0.4880 data_time: 0.0368 memory: 18108 grad_norm: 3.0258 loss: 4.5176 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6150 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.9026 2023/02/01 05:57:08 - mmengine - INFO - Epoch(train) [78][ 460/1879] lr: 9.0926e-02 eta: 1 day, 23:29:10 time: 0.4939 data_time: 0.0364 memory: 18108 grad_norm: 3.0344 loss: 4.6688 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7809 top1_acc_1: 0.6471 top5_acc_1: 0.7647 loss_cls_1: 1.8879 2023/02/01 05:57:18 - mmengine - INFO - Epoch(train) [78][ 480/1879] lr: 9.0922e-02 eta: 1 day, 23:28:59 time: 0.4832 data_time: 0.0332 memory: 18108 grad_norm: 3.0308 loss: 4.5353 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6547 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 1.8806 2023/02/01 05:57:27 - mmengine - INFO - Epoch(train) [78][ 500/1879] lr: 9.0917e-02 eta: 1 day, 23:28:48 time: 0.4930 data_time: 0.0338 memory: 18108 grad_norm: 3.0079 loss: 4.5071 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5864 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9207 2023/02/01 05:57:37 - mmengine - INFO - Epoch(train) [78][ 520/1879] lr: 9.0913e-02 eta: 1 day, 23:28:37 time: 0.4879 data_time: 0.0399 memory: 18108 grad_norm: 3.0194 loss: 4.4080 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5637 top1_acc_1: 0.6824 top5_acc_1: 0.8118 loss_cls_1: 1.8443 2023/02/01 05:57:47 - mmengine - INFO - Epoch(train) [78][ 540/1879] lr: 9.0909e-02 eta: 1 day, 23:28:26 time: 0.5012 data_time: 0.0389 memory: 18108 grad_norm: 3.0725 loss: 4.5256 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7101 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.8155 2023/02/01 05:57:57 - mmengine - INFO - Epoch(train) [78][ 560/1879] lr: 9.0904e-02 eta: 1 day, 23:28:14 time: 0.4713 data_time: 0.0341 memory: 18108 grad_norm: 3.0389 loss: 4.6044 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 2.7240 top1_acc_1: 0.5647 top5_acc_1: 0.8941 loss_cls_1: 1.8804 2023/02/01 05:58:07 - mmengine - INFO - Epoch(train) [78][ 580/1879] lr: 9.0900e-02 eta: 1 day, 23:28:04 time: 0.4967 data_time: 0.0410 memory: 18108 grad_norm: 2.9663 loss: 4.2915 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4248 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.8668 2023/02/01 05:58:16 - mmengine - INFO - Epoch(train) [78][ 600/1879] lr: 9.0896e-02 eta: 1 day, 23:27:53 time: 0.4920 data_time: 0.0327 memory: 18108 grad_norm: 3.0162 loss: 4.4526 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5288 top1_acc_1: 0.5412 top5_acc_1: 0.8471 loss_cls_1: 1.9238 2023/02/01 05:58:26 - mmengine - INFO - Epoch(train) [78][ 620/1879] lr: 9.0891e-02 eta: 1 day, 23:27:42 time: 0.4880 data_time: 0.0351 memory: 18108 grad_norm: 3.0316 loss: 4.5856 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.7993 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.7864 2023/02/01 05:58:36 - mmengine - INFO - Epoch(train) [78][ 640/1879] lr: 9.0887e-02 eta: 1 day, 23:27:30 time: 0.4853 data_time: 0.0329 memory: 18108 grad_norm: 3.0104 loss: 4.5276 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6472 top1_acc_1: 0.4824 top5_acc_1: 0.8000 loss_cls_1: 1.8804 2023/02/01 05:58:46 - mmengine - INFO - Epoch(train) [78][ 660/1879] lr: 9.0883e-02 eta: 1 day, 23:27:20 time: 0.4969 data_time: 0.0415 memory: 18108 grad_norm: 3.0526 loss: 4.2788 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.5189 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.7599 2023/02/01 05:58:56 - mmengine - INFO - Epoch(train) [78][ 680/1879] lr: 9.0878e-02 eta: 1 day, 23:27:09 time: 0.4935 data_time: 0.0336 memory: 18108 grad_norm: 3.0525 loss: 4.3648 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5952 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.7696 2023/02/01 05:59:06 - mmengine - INFO - Epoch(train) [78][ 700/1879] lr: 9.0874e-02 eta: 1 day, 23:26:58 time: 0.4995 data_time: 0.0354 memory: 18108 grad_norm: 2.9951 loss: 4.5791 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7147 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 1.8645 2023/02/01 05:59:16 - mmengine - INFO - Epoch(train) [78][ 720/1879] lr: 9.0870e-02 eta: 1 day, 23:26:47 time: 0.4905 data_time: 0.0329 memory: 18108 grad_norm: 2.9559 loss: 4.3232 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4822 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.8409 2023/02/01 05:59:26 - mmengine - INFO - Epoch(train) [78][ 740/1879] lr: 9.0865e-02 eta: 1 day, 23:26:38 time: 0.5270 data_time: 0.0417 memory: 18108 grad_norm: 2.9844 loss: 4.3956 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5246 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.8710 2023/02/01 05:59:36 - mmengine - INFO - Epoch(train) [78][ 760/1879] lr: 9.0861e-02 eta: 1 day, 23:26:26 time: 0.4842 data_time: 0.0338 memory: 18108 grad_norm: 3.0276 loss: 4.6708 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7657 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.9051 2023/02/01 05:59:46 - mmengine - INFO - Epoch(train) [78][ 780/1879] lr: 9.0857e-02 eta: 1 day, 23:26:16 time: 0.5002 data_time: 0.0342 memory: 18108 grad_norm: 2.9827 loss: 4.1924 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2864 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9061 2023/02/01 05:59:56 - mmengine - INFO - Epoch(train) [78][ 800/1879] lr: 9.0852e-02 eta: 1 day, 23:26:05 time: 0.5008 data_time: 0.0404 memory: 18108 grad_norm: 3.0039 loss: 4.7562 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8365 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.9197 2023/02/01 06:00:06 - mmengine - INFO - Epoch(train) [78][ 820/1879] lr: 9.0848e-02 eta: 1 day, 23:25:55 time: 0.5135 data_time: 0.0369 memory: 18108 grad_norm: 3.0417 loss: 4.5304 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6870 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 1.8434 2023/02/01 06:00:16 - mmengine - INFO - Epoch(train) [78][ 840/1879] lr: 9.0844e-02 eta: 1 day, 23:25:44 time: 0.4799 data_time: 0.0327 memory: 18108 grad_norm: 3.0324 loss: 4.4337 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4875 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 1.9462 2023/02/01 06:00:26 - mmengine - INFO - Epoch(train) [78][ 860/1879] lr: 9.0839e-02 eta: 1 day, 23:25:34 time: 0.5147 data_time: 0.0366 memory: 18108 grad_norm: 3.0082 loss: 4.5360 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.5734 top1_acc_1: 0.4235 top5_acc_1: 0.7529 loss_cls_1: 1.9626 2023/02/01 06:00:36 - mmengine - INFO - Epoch(train) [78][ 880/1879] lr: 9.0835e-02 eta: 1 day, 23:25:23 time: 0.4946 data_time: 0.0410 memory: 18108 grad_norm: 3.0483 loss: 4.3986 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4979 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.9007 2023/02/01 06:00:46 - mmengine - INFO - Epoch(train) [78][ 900/1879] lr: 9.0831e-02 eta: 1 day, 23:25:13 time: 0.5020 data_time: 0.0340 memory: 18108 grad_norm: 3.0913 loss: 4.6414 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7056 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.9358 2023/02/01 06:00:56 - mmengine - INFO - Epoch(train) [78][ 920/1879] lr: 9.0826e-02 eta: 1 day, 23:25:02 time: 0.4912 data_time: 0.0349 memory: 18108 grad_norm: 3.0302 loss: 4.5949 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6427 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.9522 2023/02/01 06:01:06 - mmengine - INFO - Epoch(train) [78][ 940/1879] lr: 9.0822e-02 eta: 1 day, 23:24:52 time: 0.5185 data_time: 0.0358 memory: 18108 grad_norm: 3.0049 loss: 4.5403 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6252 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.9150 2023/02/01 06:01:16 - mmengine - INFO - Epoch(train) [78][ 960/1879] lr: 9.0818e-02 eta: 1 day, 23:24:41 time: 0.4999 data_time: 0.0333 memory: 18108 grad_norm: 2.9903 loss: 4.9116 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.9171 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 1.9946 2023/02/01 06:01:26 - mmengine - INFO - Epoch(train) [78][ 980/1879] lr: 9.0813e-02 eta: 1 day, 23:24:31 time: 0.4995 data_time: 0.0365 memory: 18108 grad_norm: 3.0713 loss: 4.4950 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.5206 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9744 2023/02/01 06:01:36 - mmengine - INFO - Epoch(train) [78][1000/1879] lr: 9.0809e-02 eta: 1 day, 23:24:20 time: 0.4924 data_time: 0.0336 memory: 18108 grad_norm: 2.9680 loss: 4.4606 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6302 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8304 2023/02/01 06:01:46 - mmengine - INFO - Epoch(train) [78][1020/1879] lr: 9.0805e-02 eta: 1 day, 23:24:09 time: 0.5091 data_time: 0.0334 memory: 18108 grad_norm: 3.0368 loss: 4.5977 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7333 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 1.8645 2023/02/01 06:01:56 - mmengine - INFO - Epoch(train) [78][1040/1879] lr: 9.0800e-02 eta: 1 day, 23:23:58 time: 0.4806 data_time: 0.0335 memory: 18108 grad_norm: 3.0567 loss: 4.4839 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4741 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 2.0099 2023/02/01 06:02:06 - mmengine - INFO - Epoch(train) [78][1060/1879] lr: 9.0796e-02 eta: 1 day, 23:23:48 time: 0.5160 data_time: 0.0348 memory: 18108 grad_norm: 3.0718 loss: 4.8035 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8545 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.9490 2023/02/01 06:02:16 - mmengine - INFO - Epoch(train) [78][1080/1879] lr: 9.0792e-02 eta: 1 day, 23:23:37 time: 0.4843 data_time: 0.0404 memory: 18108 grad_norm: 3.0417 loss: 4.4082 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6068 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.8015 2023/02/01 06:02:26 - mmengine - INFO - Epoch(train) [78][1100/1879] lr: 9.0787e-02 eta: 1 day, 23:23:27 time: 0.5094 data_time: 0.0350 memory: 18108 grad_norm: 3.1055 loss: 4.5754 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7070 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8684 2023/02/01 06:02:36 - mmengine - INFO - Epoch(train) [78][1120/1879] lr: 9.0783e-02 eta: 1 day, 23:23:15 time: 0.4822 data_time: 0.0362 memory: 18108 grad_norm: 3.0889 loss: 4.6847 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6417 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 2.0431 2023/02/01 06:02:46 - mmengine - INFO - Epoch(train) [78][1140/1879] lr: 9.0778e-02 eta: 1 day, 23:23:05 time: 0.5113 data_time: 0.0357 memory: 18108 grad_norm: 3.0263 loss: 4.4484 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5828 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8656 2023/02/01 06:02:56 - mmengine - INFO - Epoch(train) [78][1160/1879] lr: 9.0774e-02 eta: 1 day, 23:22:54 time: 0.4912 data_time: 0.0416 memory: 18108 grad_norm: 3.0490 loss: 4.5864 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6343 top1_acc_1: 0.5059 top5_acc_1: 0.6941 loss_cls_1: 1.9521 2023/02/01 06:03:06 - mmengine - INFO - Epoch(train) [78][1180/1879] lr: 9.0770e-02 eta: 1 day, 23:22:44 time: 0.5116 data_time: 0.0359 memory: 18108 grad_norm: 3.0499 loss: 4.3270 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4475 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8794 2023/02/01 06:03:16 - mmengine - INFO - Epoch(train) [78][1200/1879] lr: 9.0765e-02 eta: 1 day, 23:22:33 time: 0.4944 data_time: 0.0391 memory: 18108 grad_norm: 3.0599 loss: 4.5095 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6331 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.8764 2023/02/01 06:03:26 - mmengine - INFO - Epoch(train) [78][1220/1879] lr: 9.0761e-02 eta: 1 day, 23:22:24 time: 0.5170 data_time: 0.0317 memory: 18108 grad_norm: 3.0016 loss: 4.7925 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8617 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.9308 2023/02/01 06:03:36 - mmengine - INFO - Epoch(train) [78][1240/1879] lr: 9.0757e-02 eta: 1 day, 23:22:13 time: 0.5040 data_time: 0.0435 memory: 18108 grad_norm: 3.0175 loss: 4.5412 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6692 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.8720 2023/02/01 06:03:47 - mmengine - INFO - Epoch(train) [78][1260/1879] lr: 9.0752e-02 eta: 1 day, 23:22:04 time: 0.5225 data_time: 0.0299 memory: 18108 grad_norm: 3.0459 loss: 4.7100 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7436 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.9664 2023/02/01 06:03:57 - mmengine - INFO - Epoch(train) [78][1280/1879] lr: 9.0748e-02 eta: 1 day, 23:21:53 time: 0.5027 data_time: 0.0360 memory: 18108 grad_norm: 3.0287 loss: 4.4510 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5462 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.9048 2023/02/01 06:04:07 - mmengine - INFO - Epoch(train) [78][1300/1879] lr: 9.0744e-02 eta: 1 day, 23:21:44 time: 0.5216 data_time: 0.0371 memory: 18108 grad_norm: 3.0910 loss: 4.3987 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5198 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.8789 2023/02/01 06:04:16 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 06:04:18 - mmengine - INFO - Epoch(train) [78][1320/1879] lr: 9.0739e-02 eta: 1 day, 23:21:33 time: 0.5089 data_time: 0.0346 memory: 18108 grad_norm: 3.0896 loss: 4.5837 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6477 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.9359 2023/02/01 06:04:28 - mmengine - INFO - Epoch(train) [78][1340/1879] lr: 9.0735e-02 eta: 1 day, 23:21:24 time: 0.5241 data_time: 0.0305 memory: 18108 grad_norm: 3.0330 loss: 4.6217 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6185 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 2.0033 2023/02/01 06:04:38 - mmengine - INFO - Epoch(train) [78][1360/1879] lr: 9.0730e-02 eta: 1 day, 23:21:13 time: 0.5053 data_time: 0.0404 memory: 18108 grad_norm: 2.9951 loss: 4.7969 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.8855 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.9115 2023/02/01 06:04:49 - mmengine - INFO - Epoch(train) [78][1380/1879] lr: 9.0726e-02 eta: 1 day, 23:21:04 time: 0.5326 data_time: 0.0308 memory: 18108 grad_norm: 3.0821 loss: 4.8066 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.8387 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9679 2023/02/01 06:04:59 - mmengine - INFO - Epoch(train) [78][1400/1879] lr: 9.0722e-02 eta: 1 day, 23:20:54 time: 0.4994 data_time: 0.0362 memory: 18108 grad_norm: 3.0331 loss: 4.5767 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6711 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.9056 2023/02/01 06:05:09 - mmengine - INFO - Epoch(train) [78][1420/1879] lr: 9.0717e-02 eta: 1 day, 23:20:44 time: 0.5221 data_time: 0.0306 memory: 18108 grad_norm: 3.0290 loss: 4.7775 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7866 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.9909 2023/02/01 06:05:19 - mmengine - INFO - Epoch(train) [78][1440/1879] lr: 9.0713e-02 eta: 1 day, 23:20:33 time: 0.4942 data_time: 0.0336 memory: 18108 grad_norm: 3.0259 loss: 4.6084 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.6666 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.9418 2023/02/01 06:05:30 - mmengine - INFO - Epoch(train) [78][1460/1879] lr: 9.0709e-02 eta: 1 day, 23:20:24 time: 0.5283 data_time: 0.0300 memory: 18108 grad_norm: 3.1073 loss: 4.5629 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7259 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.8370 2023/02/01 06:05:40 - mmengine - INFO - Epoch(train) [78][1480/1879] lr: 9.0704e-02 eta: 1 day, 23:20:14 time: 0.5004 data_time: 0.0351 memory: 18108 grad_norm: 3.0379 loss: 4.6704 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7652 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.9052 2023/02/01 06:05:50 - mmengine - INFO - Epoch(train) [78][1500/1879] lr: 9.0700e-02 eta: 1 day, 23:20:04 time: 0.5145 data_time: 0.0352 memory: 18108 grad_norm: 3.0538 loss: 4.5789 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6095 top1_acc_1: 0.4353 top5_acc_1: 0.7647 loss_cls_1: 1.9693 2023/02/01 06:06:00 - mmengine - INFO - Epoch(train) [78][1520/1879] lr: 9.0695e-02 eta: 1 day, 23:19:53 time: 0.5105 data_time: 0.0347 memory: 18108 grad_norm: 2.9747 loss: 4.4213 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 2.5081 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.9132 2023/02/01 06:06:11 - mmengine - INFO - Epoch(train) [78][1540/1879] lr: 9.0691e-02 eta: 1 day, 23:19:44 time: 0.5139 data_time: 0.0305 memory: 18108 grad_norm: 3.0476 loss: 4.5170 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6097 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.9073 2023/02/01 06:06:21 - mmengine - INFO - Epoch(train) [78][1560/1879] lr: 9.0687e-02 eta: 1 day, 23:19:34 time: 0.5153 data_time: 0.0370 memory: 18108 grad_norm: 3.0184 loss: 4.7979 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8811 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9168 2023/02/01 06:06:31 - mmengine - INFO - Epoch(train) [78][1580/1879] lr: 9.0682e-02 eta: 1 day, 23:19:24 time: 0.5215 data_time: 0.0301 memory: 18108 grad_norm: 2.9738 loss: 4.7048 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.9102 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7946 2023/02/01 06:06:41 - mmengine - INFO - Epoch(train) [78][1600/1879] lr: 9.0678e-02 eta: 1 day, 23:19:13 time: 0.4948 data_time: 0.0366 memory: 18108 grad_norm: 2.9887 loss: 4.4444 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5705 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.8739 2023/02/01 06:06:52 - mmengine - INFO - Epoch(train) [78][1620/1879] lr: 9.0674e-02 eta: 1 day, 23:19:04 time: 0.5367 data_time: 0.0357 memory: 18108 grad_norm: 3.0420 loss: 4.5521 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7513 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.8008 2023/02/01 06:07:02 - mmengine - INFO - Epoch(train) [78][1640/1879] lr: 9.0669e-02 eta: 1 day, 23:18:54 time: 0.5007 data_time: 0.0360 memory: 18108 grad_norm: 2.9884 loss: 4.6082 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7248 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8834 2023/02/01 06:07:13 - mmengine - INFO - Epoch(train) [78][1660/1879] lr: 9.0665e-02 eta: 1 day, 23:18:44 time: 0.5249 data_time: 0.0291 memory: 18108 grad_norm: 3.0402 loss: 4.5471 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6348 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 1.9123 2023/02/01 06:07:23 - mmengine - INFO - Epoch(train) [78][1680/1879] lr: 9.0660e-02 eta: 1 day, 23:18:35 time: 0.5208 data_time: 0.0338 memory: 18108 grad_norm: 3.0308 loss: 4.6377 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6532 top1_acc_1: 0.4706 top5_acc_1: 0.6941 loss_cls_1: 1.9845 2023/02/01 06:07:34 - mmengine - INFO - Epoch(train) [78][1700/1879] lr: 9.0656e-02 eta: 1 day, 23:18:26 time: 0.5410 data_time: 0.0388 memory: 18108 grad_norm: 3.0756 loss: 4.4083 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5640 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8443 2023/02/01 06:07:44 - mmengine - INFO - Epoch(train) [78][1720/1879] lr: 9.0652e-02 eta: 1 day, 23:18:16 time: 0.5086 data_time: 0.0364 memory: 18108 grad_norm: 2.9889 loss: 4.4904 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5800 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.9104 2023/02/01 06:07:54 - mmengine - INFO - Epoch(train) [78][1740/1879] lr: 9.0647e-02 eta: 1 day, 23:18:06 time: 0.5139 data_time: 0.0310 memory: 18108 grad_norm: 3.0199 loss: 4.6490 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7275 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.9215 2023/02/01 06:08:05 - mmengine - INFO - Epoch(train) [78][1760/1879] lr: 9.0643e-02 eta: 1 day, 23:17:56 time: 0.5260 data_time: 0.0432 memory: 18108 grad_norm: 3.0198 loss: 4.5056 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5773 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.9284 2023/02/01 06:08:15 - mmengine - INFO - Epoch(train) [78][1780/1879] lr: 9.0639e-02 eta: 1 day, 23:17:47 time: 0.5296 data_time: 0.0316 memory: 18108 grad_norm: 3.0060 loss: 4.6969 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7644 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.9325 2023/02/01 06:08:26 - mmengine - INFO - Epoch(train) [78][1800/1879] lr: 9.0634e-02 eta: 1 day, 23:17:37 time: 0.5072 data_time: 0.0356 memory: 18108 grad_norm: 3.0498 loss: 4.5871 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6187 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.9684 2023/02/01 06:08:36 - mmengine - INFO - Epoch(train) [78][1820/1879] lr: 9.0630e-02 eta: 1 day, 23:17:27 time: 0.5218 data_time: 0.0301 memory: 18108 grad_norm: 3.0868 loss: 4.4915 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5059 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.9855 2023/02/01 06:08:47 - mmengine - INFO - Epoch(train) [78][1840/1879] lr: 9.0625e-02 eta: 1 day, 23:17:19 time: 0.5504 data_time: 0.0430 memory: 18108 grad_norm: 2.9821 loss: 4.6156 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6334 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 1.9822 2023/02/01 06:08:57 - mmengine - INFO - Epoch(train) [78][1860/1879] lr: 9.0621e-02 eta: 1 day, 23:17:09 time: 0.5219 data_time: 0.0315 memory: 18108 grad_norm: 2.9952 loss: 4.5345 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.6510 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8835 2023/02/01 06:09:07 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 06:09:07 - mmengine - INFO - Epoch(train) [78][1879/1879] lr: 9.0617e-02 eta: 1 day, 23:16:59 time: 0.4982 data_time: 0.0334 memory: 18108 grad_norm: 3.0884 loss: 4.4171 top1_acc_0: 0.5714 top5_acc_0: 0.7143 loss_cls_0: 2.5148 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 1.9023 2023/02/01 06:09:22 - mmengine - INFO - Epoch(train) [79][ 20/1879] lr: 9.0612e-02 eta: 1 day, 23:16:58 time: 0.7047 data_time: 0.2452 memory: 18108 grad_norm: 3.0152 loss: 4.6858 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7502 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.9356 2023/02/01 06:09:31 - mmengine - INFO - Epoch(train) [79][ 40/1879] lr: 9.0608e-02 eta: 1 day, 23:16:46 time: 0.4665 data_time: 0.0308 memory: 18108 grad_norm: 2.9847 loss: 4.2395 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3667 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.8729 2023/02/01 06:09:41 - mmengine - INFO - Epoch(train) [79][ 60/1879] lr: 9.0604e-02 eta: 1 day, 23:16:34 time: 0.4797 data_time: 0.0385 memory: 18108 grad_norm: 3.0602 loss: 4.6175 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7768 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.8407 2023/02/01 06:09:51 - mmengine - INFO - Epoch(train) [79][ 80/1879] lr: 9.0599e-02 eta: 1 day, 23:16:24 time: 0.5162 data_time: 0.0389 memory: 18108 grad_norm: 2.9525 loss: 4.4338 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6092 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.8246 2023/02/01 06:10:00 - mmengine - INFO - Epoch(train) [79][ 100/1879] lr: 9.0595e-02 eta: 1 day, 23:16:13 time: 0.4780 data_time: 0.0390 memory: 18108 grad_norm: 3.0108 loss: 4.3788 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5711 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.8077 2023/02/01 06:10:10 - mmengine - INFO - Epoch(train) [79][ 120/1879] lr: 9.0590e-02 eta: 1 day, 23:16:00 time: 0.4668 data_time: 0.0302 memory: 18108 grad_norm: 3.0462 loss: 4.6011 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6813 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.9198 2023/02/01 06:10:20 - mmengine - INFO - Epoch(train) [79][ 140/1879] lr: 9.0586e-02 eta: 1 day, 23:15:50 time: 0.4987 data_time: 0.0453 memory: 18108 grad_norm: 3.0357 loss: 4.7335 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7205 top1_acc_1: 0.5765 top5_acc_1: 0.7294 loss_cls_1: 2.0130 2023/02/01 06:10:30 - mmengine - INFO - Epoch(train) [79][ 160/1879] lr: 9.0582e-02 eta: 1 day, 23:15:39 time: 0.4876 data_time: 0.0297 memory: 18108 grad_norm: 2.9924 loss: 4.4872 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7297 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.7575 2023/02/01 06:10:39 - mmengine - INFO - Epoch(train) [79][ 180/1879] lr: 9.0577e-02 eta: 1 day, 23:15:27 time: 0.4770 data_time: 0.0391 memory: 18108 grad_norm: 3.0204 loss: 4.1871 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.3543 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8328 2023/02/01 06:10:48 - mmengine - INFO - Epoch(train) [79][ 200/1879] lr: 9.0573e-02 eta: 1 day, 23:15:15 time: 0.4707 data_time: 0.0323 memory: 18108 grad_norm: 2.9882 loss: 4.5804 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6501 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9303 2023/02/01 06:10:59 - mmengine - INFO - Epoch(train) [79][ 220/1879] lr: 9.0568e-02 eta: 1 day, 23:15:05 time: 0.5065 data_time: 0.0373 memory: 18108 grad_norm: 3.0365 loss: 4.5066 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5900 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9167 2023/02/01 06:11:08 - mmengine - INFO - Epoch(train) [79][ 240/1879] lr: 9.0564e-02 eta: 1 day, 23:14:53 time: 0.4700 data_time: 0.0378 memory: 18108 grad_norm: 3.0068 loss: 4.4086 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5704 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.8382 2023/02/01 06:11:17 - mmengine - INFO - Epoch(train) [79][ 260/1879] lr: 9.0560e-02 eta: 1 day, 23:14:40 time: 0.4534 data_time: 0.0349 memory: 18108 grad_norm: 3.0708 loss: 4.4485 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6400 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.8085 2023/02/01 06:11:26 - mmengine - INFO - Epoch(train) [79][ 280/1879] lr: 9.0555e-02 eta: 1 day, 23:14:27 time: 0.4521 data_time: 0.0370 memory: 18108 grad_norm: 3.1052 loss: 4.8675 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.9856 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.8819 2023/02/01 06:11:36 - mmengine - INFO - Epoch(train) [79][ 300/1879] lr: 9.0551e-02 eta: 1 day, 23:14:16 time: 0.4793 data_time: 0.0373 memory: 18108 grad_norm: 3.0303 loss: 4.2794 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4293 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.8501 2023/02/01 06:11:45 - mmengine - INFO - Epoch(train) [79][ 320/1879] lr: 9.0546e-02 eta: 1 day, 23:14:04 time: 0.4724 data_time: 0.0413 memory: 18108 grad_norm: 2.9839 loss: 4.4425 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.5872 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8553 2023/02/01 06:11:54 - mmengine - INFO - Epoch(train) [79][ 340/1879] lr: 9.0542e-02 eta: 1 day, 23:13:52 time: 0.4600 data_time: 0.0359 memory: 18108 grad_norm: 2.9902 loss: 4.5259 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6462 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.8798 2023/02/01 06:12:04 - mmengine - INFO - Epoch(train) [79][ 360/1879] lr: 9.0538e-02 eta: 1 day, 23:13:39 time: 0.4554 data_time: 0.0365 memory: 18108 grad_norm: 3.0602 loss: 4.6003 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7657 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.8346 2023/02/01 06:12:13 - mmengine - INFO - Epoch(train) [79][ 380/1879] lr: 9.0533e-02 eta: 1 day, 23:13:27 time: 0.4713 data_time: 0.0375 memory: 18108 grad_norm: 3.0838 loss: 4.5935 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6379 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 1.9556 2023/02/01 06:12:23 - mmengine - INFO - Epoch(train) [79][ 400/1879] lr: 9.0529e-02 eta: 1 day, 23:13:15 time: 0.4752 data_time: 0.0424 memory: 18108 grad_norm: 3.0307 loss: 4.7184 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7536 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 1.9648 2023/02/01 06:12:32 - mmengine - INFO - Epoch(train) [79][ 420/1879] lr: 9.0524e-02 eta: 1 day, 23:13:03 time: 0.4595 data_time: 0.0354 memory: 18108 grad_norm: 3.0348 loss: 4.6762 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7301 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9460 2023/02/01 06:12:40 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 06:12:41 - mmengine - INFO - Epoch(train) [79][ 440/1879] lr: 9.0520e-02 eta: 1 day, 23:12:50 time: 0.4557 data_time: 0.0373 memory: 18108 grad_norm: 3.0671 loss: 4.5002 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6694 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.8309 2023/02/01 06:12:50 - mmengine - INFO - Epoch(train) [79][ 460/1879] lr: 9.0516e-02 eta: 1 day, 23:12:38 time: 0.4660 data_time: 0.0372 memory: 18108 grad_norm: 3.0085 loss: 4.2298 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3954 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8344 2023/02/01 06:13:00 - mmengine - INFO - Epoch(train) [79][ 480/1879] lr: 9.0511e-02 eta: 1 day, 23:12:27 time: 0.4729 data_time: 0.0367 memory: 18108 grad_norm: 2.9915 loss: 4.3950 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5561 top1_acc_1: 0.6235 top5_acc_1: 0.7529 loss_cls_1: 1.8389 2023/02/01 06:13:09 - mmengine - INFO - Epoch(train) [79][ 500/1879] lr: 9.0507e-02 eta: 1 day, 23:12:15 time: 0.4693 data_time: 0.0356 memory: 18108 grad_norm: 3.0726 loss: 4.3479 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4448 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.9031 2023/02/01 06:13:18 - mmengine - INFO - Epoch(train) [79][ 520/1879] lr: 9.0502e-02 eta: 1 day, 23:12:02 time: 0.4618 data_time: 0.0375 memory: 18108 grad_norm: 3.1202 loss: 4.4120 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4674 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9446 2023/02/01 06:13:27 - mmengine - INFO - Epoch(train) [79][ 540/1879] lr: 9.0498e-02 eta: 1 day, 23:11:50 time: 0.4606 data_time: 0.0364 memory: 18108 grad_norm: 3.1201 loss: 4.4098 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5548 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.8550 2023/02/01 06:13:37 - mmengine - INFO - Epoch(train) [79][ 560/1879] lr: 9.0493e-02 eta: 1 day, 23:11:38 time: 0.4752 data_time: 0.0371 memory: 18108 grad_norm: 2.9923 loss: 4.4356 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4284 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 2.0072 2023/02/01 06:13:46 - mmengine - INFO - Epoch(train) [79][ 580/1879] lr: 9.0489e-02 eta: 1 day, 23:11:26 time: 0.4687 data_time: 0.0354 memory: 18108 grad_norm: 3.0128 loss: 4.3622 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4958 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8664 2023/02/01 06:13:55 - mmengine - INFO - Epoch(train) [79][ 600/1879] lr: 9.0485e-02 eta: 1 day, 23:11:13 time: 0.4529 data_time: 0.0365 memory: 18108 grad_norm: 3.0159 loss: 4.5535 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6992 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.8543 2023/02/01 06:14:05 - mmengine - INFO - Epoch(train) [79][ 620/1879] lr: 9.0480e-02 eta: 1 day, 23:11:01 time: 0.4621 data_time: 0.0360 memory: 18108 grad_norm: 3.0384 loss: 4.5663 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7023 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.8639 2023/02/01 06:14:14 - mmengine - INFO - Epoch(train) [79][ 640/1879] lr: 9.0476e-02 eta: 1 day, 23:10:49 time: 0.4665 data_time: 0.0363 memory: 18108 grad_norm: 3.0330 loss: 4.2261 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4475 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.7786 2023/02/01 06:14:23 - mmengine - INFO - Epoch(train) [79][ 660/1879] lr: 9.0471e-02 eta: 1 day, 23:10:37 time: 0.4716 data_time: 0.0422 memory: 18108 grad_norm: 3.0546 loss: 4.4177 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5522 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.8655 2023/02/01 06:14:33 - mmengine - INFO - Epoch(train) [79][ 680/1879] lr: 9.0467e-02 eta: 1 day, 23:10:25 time: 0.4666 data_time: 0.0369 memory: 18108 grad_norm: 3.0472 loss: 4.4751 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6074 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.8678 2023/02/01 06:14:42 - mmengine - INFO - Epoch(train) [79][ 700/1879] lr: 9.0462e-02 eta: 1 day, 23:10:13 time: 0.4628 data_time: 0.0370 memory: 18108 grad_norm: 3.0413 loss: 4.4356 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5388 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8968 2023/02/01 06:14:51 - mmengine - INFO - Epoch(train) [79][ 720/1879] lr: 9.0458e-02 eta: 1 day, 23:10:01 time: 0.4687 data_time: 0.0360 memory: 18108 grad_norm: 3.0589 loss: 4.5984 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6765 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9219 2023/02/01 06:15:01 - mmengine - INFO - Epoch(train) [79][ 740/1879] lr: 9.0454e-02 eta: 1 day, 23:09:49 time: 0.4649 data_time: 0.0375 memory: 18108 grad_norm: 3.0583 loss: 4.4722 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6365 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 1.8356 2023/02/01 06:15:10 - mmengine - INFO - Epoch(train) [79][ 760/1879] lr: 9.0449e-02 eta: 1 day, 23:09:37 time: 0.4732 data_time: 0.0351 memory: 18108 grad_norm: 2.9852 loss: 4.4762 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6140 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.8622 2023/02/01 06:15:19 - mmengine - INFO - Epoch(train) [79][ 780/1879] lr: 9.0445e-02 eta: 1 day, 23:09:24 time: 0.4579 data_time: 0.0364 memory: 18108 grad_norm: 3.0421 loss: 4.7255 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.8947 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.8308 2023/02/01 06:15:29 - mmengine - INFO - Epoch(train) [79][ 800/1879] lr: 9.0440e-02 eta: 1 day, 23:09:13 time: 0.4707 data_time: 0.0355 memory: 18108 grad_norm: 3.0513 loss: 4.7436 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.8496 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.8940 2023/02/01 06:15:38 - mmengine - INFO - Epoch(train) [79][ 820/1879] lr: 9.0436e-02 eta: 1 day, 23:09:00 time: 0.4666 data_time: 0.0348 memory: 18108 grad_norm: 3.0459 loss: 4.7063 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7810 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.9254 2023/02/01 06:15:47 - mmengine - INFO - Epoch(train) [79][ 840/1879] lr: 9.0431e-02 eta: 1 day, 23:08:48 time: 0.4625 data_time: 0.0432 memory: 18108 grad_norm: 3.0284 loss: 4.5632 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.6102 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9530 2023/02/01 06:15:57 - mmengine - INFO - Epoch(train) [79][ 860/1879] lr: 9.0427e-02 eta: 1 day, 23:08:36 time: 0.4705 data_time: 0.0362 memory: 18108 grad_norm: 3.0186 loss: 4.5395 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6410 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8985 2023/02/01 06:16:06 - mmengine - INFO - Epoch(train) [79][ 880/1879] lr: 9.0423e-02 eta: 1 day, 23:08:24 time: 0.4595 data_time: 0.0355 memory: 18108 grad_norm: 2.9239 loss: 4.1655 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3523 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8132 2023/02/01 06:16:15 - mmengine - INFO - Epoch(train) [79][ 900/1879] lr: 9.0418e-02 eta: 1 day, 23:08:12 time: 0.4672 data_time: 0.0363 memory: 18108 grad_norm: 3.0275 loss: 4.5785 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6550 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9235 2023/02/01 06:16:25 - mmengine - INFO - Epoch(train) [79][ 920/1879] lr: 9.0414e-02 eta: 1 day, 23:08:00 time: 0.4789 data_time: 0.0361 memory: 18108 grad_norm: 2.9951 loss: 4.3550 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4534 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.9015 2023/02/01 06:16:34 - mmengine - INFO - Epoch(train) [79][ 940/1879] lr: 9.0409e-02 eta: 1 day, 23:07:48 time: 0.4608 data_time: 0.0372 memory: 18108 grad_norm: 3.0102 loss: 4.3741 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5285 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.8455 2023/02/01 06:16:44 - mmengine - INFO - Epoch(train) [79][ 960/1879] lr: 9.0405e-02 eta: 1 day, 23:07:36 time: 0.4649 data_time: 0.0359 memory: 18108 grad_norm: 3.1317 loss: 4.6668 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8271 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.8397 2023/02/01 06:16:53 - mmengine - INFO - Epoch(train) [79][ 980/1879] lr: 9.0400e-02 eta: 1 day, 23:07:23 time: 0.4595 data_time: 0.0353 memory: 18108 grad_norm: 3.0475 loss: 4.4347 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5853 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.8494 2023/02/01 06:17:02 - mmengine - INFO - Epoch(train) [79][1000/1879] lr: 9.0396e-02 eta: 1 day, 23:07:11 time: 0.4660 data_time: 0.0359 memory: 18108 grad_norm: 2.9981 loss: 4.5415 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6939 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.8476 2023/02/01 06:17:12 - mmengine - INFO - Epoch(train) [79][1020/1879] lr: 9.0392e-02 eta: 1 day, 23:07:00 time: 0.4772 data_time: 0.0375 memory: 18108 grad_norm: 3.0171 loss: 4.2986 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4809 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.8177 2023/02/01 06:17:21 - mmengine - INFO - Epoch(train) [79][1040/1879] lr: 9.0387e-02 eta: 1 day, 23:06:47 time: 0.4549 data_time: 0.0370 memory: 18108 grad_norm: 2.9797 loss: 4.4358 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5662 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8695 2023/02/01 06:17:30 - mmengine - INFO - Epoch(train) [79][1060/1879] lr: 9.0383e-02 eta: 1 day, 23:06:35 time: 0.4666 data_time: 0.0358 memory: 18108 grad_norm: 2.9463 loss: 4.3294 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.4492 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.8802 2023/02/01 06:17:40 - mmengine - INFO - Epoch(train) [79][1080/1879] lr: 9.0378e-02 eta: 1 day, 23:06:23 time: 0.4736 data_time: 0.0360 memory: 18108 grad_norm: 3.0658 loss: 4.6585 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6881 top1_acc_1: 0.4588 top5_acc_1: 0.7059 loss_cls_1: 1.9704 2023/02/01 06:17:49 - mmengine - INFO - Epoch(train) [79][1100/1879] lr: 9.0374e-02 eta: 1 day, 23:06:11 time: 0.4591 data_time: 0.0424 memory: 18108 grad_norm: 2.9756 loss: 4.3719 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5984 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.7736 2023/02/01 06:17:58 - mmengine - INFO - Epoch(train) [79][1120/1879] lr: 9.0369e-02 eta: 1 day, 23:05:58 time: 0.4603 data_time: 0.0364 memory: 18108 grad_norm: 3.0563 loss: 4.6046 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7710 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.8335 2023/02/01 06:18:07 - mmengine - INFO - Epoch(train) [79][1140/1879] lr: 9.0365e-02 eta: 1 day, 23:05:46 time: 0.4664 data_time: 0.0367 memory: 18108 grad_norm: 3.0565 loss: 4.6718 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7325 top1_acc_1: 0.4588 top5_acc_1: 0.8235 loss_cls_1: 1.9393 2023/02/01 06:18:17 - mmengine - INFO - Epoch(train) [79][1160/1879] lr: 9.0360e-02 eta: 1 day, 23:05:34 time: 0.4599 data_time: 0.0359 memory: 18108 grad_norm: 3.0174 loss: 4.4215 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5853 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8361 2023/02/01 06:18:26 - mmengine - INFO - Epoch(train) [79][1180/1879] lr: 9.0356e-02 eta: 1 day, 23:05:22 time: 0.4717 data_time: 0.0385 memory: 18108 grad_norm: 3.1212 loss: 4.5575 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6688 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.8887 2023/02/01 06:18:35 - mmengine - INFO - Epoch(train) [79][1200/1879] lr: 9.0352e-02 eta: 1 day, 23:05:10 time: 0.4698 data_time: 0.0365 memory: 18108 grad_norm: 3.0289 loss: 4.7405 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.8195 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9210 2023/02/01 06:18:45 - mmengine - INFO - Epoch(train) [79][1220/1879] lr: 9.0347e-02 eta: 1 day, 23:04:58 time: 0.4606 data_time: 0.0372 memory: 18108 grad_norm: 2.9828 loss: 4.4281 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5536 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.8745 2023/02/01 06:18:54 - mmengine - INFO - Epoch(train) [79][1240/1879] lr: 9.0343e-02 eta: 1 day, 23:04:46 time: 0.4605 data_time: 0.0363 memory: 18108 grad_norm: 3.0248 loss: 4.6743 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6923 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.9820 2023/02/01 06:19:03 - mmengine - INFO - Epoch(train) [79][1260/1879] lr: 9.0338e-02 eta: 1 day, 23:04:34 time: 0.4728 data_time: 0.0360 memory: 18108 grad_norm: 3.0386 loss: 4.3389 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4758 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.8631 2023/02/01 06:19:13 - mmengine - INFO - Epoch(train) [79][1280/1879] lr: 9.0334e-02 eta: 1 day, 23:04:21 time: 0.4599 data_time: 0.0358 memory: 18108 grad_norm: 3.0191 loss: 4.5404 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6536 top1_acc_1: 0.6235 top5_acc_1: 0.7529 loss_cls_1: 1.8868 2023/02/01 06:19:22 - mmengine - INFO - Epoch(train) [79][1300/1879] lr: 9.0329e-02 eta: 1 day, 23:04:10 time: 0.4750 data_time: 0.0436 memory: 18108 grad_norm: 3.0392 loss: 4.6098 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7834 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.8264 2023/02/01 06:19:31 - mmengine - INFO - Epoch(train) [79][1320/1879] lr: 9.0325e-02 eta: 1 day, 23:03:58 time: 0.4679 data_time: 0.0364 memory: 18108 grad_norm: 2.9148 loss: 4.4402 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6279 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8123 2023/02/01 06:19:41 - mmengine - INFO - Epoch(train) [79][1340/1879] lr: 9.0320e-02 eta: 1 day, 23:03:46 time: 0.4799 data_time: 0.0375 memory: 18108 grad_norm: 3.0433 loss: 4.5972 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.6636 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9336 2023/02/01 06:19:51 - mmengine - INFO - Epoch(train) [79][1360/1879] lr: 9.0316e-02 eta: 1 day, 23:03:35 time: 0.4753 data_time: 0.0367 memory: 18108 grad_norm: 3.0936 loss: 4.4136 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.5243 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.8893 2023/02/01 06:20:00 - mmengine - INFO - Epoch(train) [79][1380/1879] lr: 9.0312e-02 eta: 1 day, 23:03:23 time: 0.4730 data_time: 0.0349 memory: 18108 grad_norm: 3.0260 loss: 4.5320 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 2.6482 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8838 2023/02/01 06:20:10 - mmengine - INFO - Epoch(train) [79][1400/1879] lr: 9.0307e-02 eta: 1 day, 23:03:11 time: 0.4812 data_time: 0.0416 memory: 18108 grad_norm: 3.0194 loss: 4.6484 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7608 top1_acc_1: 0.4118 top5_acc_1: 0.6588 loss_cls_1: 1.8876 2023/02/01 06:20:19 - mmengine - INFO - Epoch(train) [79][1420/1879] lr: 9.0303e-02 eta: 1 day, 23:02:59 time: 0.4612 data_time: 0.0353 memory: 18108 grad_norm: 2.9977 loss: 4.4227 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.5214 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9014 2023/02/01 06:20:27 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 06:20:28 - mmengine - INFO - Epoch(train) [79][1440/1879] lr: 9.0298e-02 eta: 1 day, 23:02:47 time: 0.4756 data_time: 0.0388 memory: 18108 grad_norm: 3.0510 loss: 4.5228 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.7175 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.8052 2023/02/01 06:20:38 - mmengine - INFO - Epoch(train) [79][1460/1879] lr: 9.0294e-02 eta: 1 day, 23:02:35 time: 0.4665 data_time: 0.0355 memory: 18108 grad_norm: 2.9689 loss: 4.5566 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7333 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8233 2023/02/01 06:20:47 - mmengine - INFO - Epoch(train) [79][1480/1879] lr: 9.0289e-02 eta: 1 day, 23:02:23 time: 0.4708 data_time: 0.0375 memory: 18108 grad_norm: 3.0476 loss: 4.5918 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.6106 top1_acc_1: 0.5647 top5_acc_1: 0.6706 loss_cls_1: 1.9813 2023/02/01 06:20:57 - mmengine - INFO - Epoch(train) [79][1500/1879] lr: 9.0285e-02 eta: 1 day, 23:02:12 time: 0.4757 data_time: 0.0350 memory: 18108 grad_norm: 3.0364 loss: 4.5271 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.5771 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.9499 2023/02/01 06:21:06 - mmengine - INFO - Epoch(train) [79][1520/1879] lr: 9.0280e-02 eta: 1 day, 23:02:00 time: 0.4705 data_time: 0.0383 memory: 18108 grad_norm: 3.0908 loss: 4.4598 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5694 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.8904 2023/02/01 06:21:15 - mmengine - INFO - Epoch(train) [79][1540/1879] lr: 9.0276e-02 eta: 1 day, 23:01:48 time: 0.4617 data_time: 0.0359 memory: 18108 grad_norm: 3.0478 loss: 4.4447 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4909 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9538 2023/02/01 06:21:25 - mmengine - INFO - Epoch(train) [79][1560/1879] lr: 9.0271e-02 eta: 1 day, 23:01:36 time: 0.4729 data_time: 0.0354 memory: 18108 grad_norm: 3.0484 loss: 4.5481 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6612 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.8869 2023/02/01 06:21:34 - mmengine - INFO - Epoch(train) [79][1580/1879] lr: 9.0267e-02 eta: 1 day, 23:01:24 time: 0.4654 data_time: 0.0352 memory: 18108 grad_norm: 2.9965 loss: 4.5723 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6774 top1_acc_1: 0.6824 top5_acc_1: 0.8000 loss_cls_1: 1.8950 2023/02/01 06:21:44 - mmengine - INFO - Epoch(train) [79][1600/1879] lr: 9.0262e-02 eta: 1 day, 23:01:12 time: 0.4736 data_time: 0.0372 memory: 18108 grad_norm: 3.0059 loss: 4.5851 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7004 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 1.8847 2023/02/01 06:21:53 - mmengine - INFO - Epoch(train) [79][1620/1879] lr: 9.0258e-02 eta: 1 day, 23:01:00 time: 0.4634 data_time: 0.0333 memory: 18108 grad_norm: 3.0144 loss: 4.6219 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.7808 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.8412 2023/02/01 06:22:02 - mmengine - INFO - Epoch(train) [79][1640/1879] lr: 9.0254e-02 eta: 1 day, 23:00:48 time: 0.4610 data_time: 0.0369 memory: 18108 grad_norm: 3.0569 loss: 4.6160 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6575 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.9585 2023/02/01 06:22:12 - mmengine - INFO - Epoch(train) [79][1660/1879] lr: 9.0249e-02 eta: 1 day, 23:00:36 time: 0.4769 data_time: 0.0366 memory: 18108 grad_norm: 3.0755 loss: 4.6385 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7442 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.8942 2023/02/01 06:22:21 - mmengine - INFO - Epoch(train) [79][1680/1879] lr: 9.0245e-02 eta: 1 day, 23:00:24 time: 0.4738 data_time: 0.0369 memory: 18108 grad_norm: 3.0572 loss: 4.6089 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7037 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.9052 2023/02/01 06:22:31 - mmengine - INFO - Epoch(train) [79][1700/1879] lr: 9.0240e-02 eta: 1 day, 23:00:12 time: 0.4698 data_time: 0.0356 memory: 18108 grad_norm: 3.0603 loss: 4.4883 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6358 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8525 2023/02/01 06:22:40 - mmengine - INFO - Epoch(train) [79][1720/1879] lr: 9.0236e-02 eta: 1 day, 23:00:00 time: 0.4689 data_time: 0.0366 memory: 18108 grad_norm: 3.0633 loss: 4.7326 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.7557 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.9769 2023/02/01 06:22:49 - mmengine - INFO - Epoch(train) [79][1740/1879] lr: 9.0231e-02 eta: 1 day, 22:59:49 time: 0.4753 data_time: 0.0412 memory: 18108 grad_norm: 2.9756 loss: 4.3456 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5297 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.8159 2023/02/01 06:22:59 - mmengine - INFO - Epoch(train) [79][1760/1879] lr: 9.0227e-02 eta: 1 day, 22:59:37 time: 0.4717 data_time: 0.0373 memory: 18108 grad_norm: 3.0768 loss: 4.4013 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4804 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9209 2023/02/01 06:23:09 - mmengine - INFO - Epoch(train) [79][1780/1879] lr: 9.0222e-02 eta: 1 day, 22:59:26 time: 0.5000 data_time: 0.0370 memory: 18108 grad_norm: 3.0600 loss: 4.5512 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6013 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.9499 2023/02/01 06:23:19 - mmengine - INFO - Epoch(train) [79][1800/1879] lr: 9.0218e-02 eta: 1 day, 22:59:15 time: 0.4848 data_time: 0.0323 memory: 18108 grad_norm: 3.0181 loss: 4.7487 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8492 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8994 2023/02/01 06:23:28 - mmengine - INFO - Epoch(train) [79][1820/1879] lr: 9.0213e-02 eta: 1 day, 22:59:04 time: 0.4873 data_time: 0.0460 memory: 18108 grad_norm: 2.9780 loss: 4.4150 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5355 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8795 2023/02/01 06:23:38 - mmengine - INFO - Epoch(train) [79][1840/1879] lr: 9.0209e-02 eta: 1 day, 22:58:53 time: 0.4824 data_time: 0.0299 memory: 18108 grad_norm: 2.9857 loss: 4.3655 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6167 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 1.7488 2023/02/01 06:23:48 - mmengine - INFO - Epoch(train) [79][1860/1879] lr: 9.0204e-02 eta: 1 day, 22:58:42 time: 0.4978 data_time: 0.0357 memory: 18108 grad_norm: 3.0406 loss: 4.5841 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6482 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 1.9360 2023/02/01 06:23:57 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 06:23:57 - mmengine - INFO - Epoch(train) [79][1879/1879] lr: 9.0200e-02 eta: 1 day, 22:58:31 time: 0.4736 data_time: 0.0323 memory: 18108 grad_norm: 3.1342 loss: 4.5073 top1_acc_0: 0.4286 top5_acc_0: 0.4286 loss_cls_0: 2.5498 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.9575 2023/02/01 06:24:12 - mmengine - INFO - Epoch(train) [80][ 20/1879] lr: 9.0196e-02 eta: 1 day, 22:58:30 time: 0.7194 data_time: 0.2638 memory: 18108 grad_norm: 3.0009 loss: 4.6271 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.8167 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.8103 2023/02/01 06:24:21 - mmengine - INFO - Epoch(train) [80][ 40/1879] lr: 9.0191e-02 eta: 1 day, 22:58:18 time: 0.4723 data_time: 0.0338 memory: 18108 grad_norm: 2.9987 loss: 4.3829 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5156 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8674 2023/02/01 06:24:31 - mmengine - INFO - Epoch(train) [80][ 60/1879] lr: 9.0187e-02 eta: 1 day, 22:58:07 time: 0.4804 data_time: 0.0401 memory: 18108 grad_norm: 3.0097 loss: 4.6072 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6586 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.9486 2023/02/01 06:24:42 - mmengine - INFO - Epoch(train) [80][ 80/1879] lr: 9.0182e-02 eta: 1 day, 22:57:57 time: 0.5261 data_time: 0.0434 memory: 18108 grad_norm: 3.0360 loss: 4.3480 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4650 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8829 2023/02/01 06:24:51 - mmengine - INFO - Epoch(train) [80][ 100/1879] lr: 9.0178e-02 eta: 1 day, 22:57:45 time: 0.4580 data_time: 0.0370 memory: 18108 grad_norm: 3.0116 loss: 4.2929 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.4630 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8299 2023/02/01 06:25:00 - mmengine - INFO - Epoch(train) [80][ 120/1879] lr: 9.0173e-02 eta: 1 day, 22:57:32 time: 0.4516 data_time: 0.0348 memory: 18108 grad_norm: 3.0085 loss: 4.5438 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6958 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8480 2023/02/01 06:25:09 - mmengine - INFO - Epoch(train) [80][ 140/1879] lr: 9.0169e-02 eta: 1 day, 22:57:20 time: 0.4531 data_time: 0.0369 memory: 18108 grad_norm: 3.0364 loss: 4.4408 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5773 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.8635 2023/02/01 06:25:18 - mmengine - INFO - Epoch(train) [80][ 160/1879] lr: 9.0164e-02 eta: 1 day, 22:57:08 time: 0.4805 data_time: 0.0347 memory: 18108 grad_norm: 3.0553 loss: 4.3697 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.4407 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.9290 2023/02/01 06:25:28 - mmengine - INFO - Epoch(train) [80][ 180/1879] lr: 9.0160e-02 eta: 1 day, 22:56:56 time: 0.4665 data_time: 0.0433 memory: 18108 grad_norm: 2.9959 loss: 4.6185 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6482 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.9703 2023/02/01 06:25:37 - mmengine - INFO - Epoch(train) [80][ 200/1879] lr: 9.0155e-02 eta: 1 day, 22:56:44 time: 0.4557 data_time: 0.0365 memory: 18108 grad_norm: 3.0747 loss: 4.4419 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5393 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.9026 2023/02/01 06:25:46 - mmengine - INFO - Epoch(train) [80][ 220/1879] lr: 9.0151e-02 eta: 1 day, 22:56:31 time: 0.4500 data_time: 0.0372 memory: 18108 grad_norm: 3.0498 loss: 4.6940 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6963 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9977 2023/02/01 06:25:55 - mmengine - INFO - Epoch(train) [80][ 240/1879] lr: 9.0146e-02 eta: 1 day, 22:56:18 time: 0.4610 data_time: 0.0369 memory: 18108 grad_norm: 3.0515 loss: 4.3812 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.5335 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8476 2023/02/01 06:26:05 - mmengine - INFO - Epoch(train) [80][ 260/1879] lr: 9.0142e-02 eta: 1 day, 22:56:07 time: 0.4787 data_time: 0.0428 memory: 18108 grad_norm: 3.0626 loss: 4.3128 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5128 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.7999 2023/02/01 06:26:14 - mmengine - INFO - Epoch(train) [80][ 280/1879] lr: 9.0137e-02 eta: 1 day, 22:55:54 time: 0.4552 data_time: 0.0362 memory: 18108 grad_norm: 3.0760 loss: 4.5267 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7118 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.8149 2023/02/01 06:26:23 - mmengine - INFO - Epoch(train) [80][ 300/1879] lr: 9.0133e-02 eta: 1 day, 22:55:42 time: 0.4542 data_time: 0.0365 memory: 18108 grad_norm: 3.0611 loss: 4.3124 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.4920 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8205 2023/02/01 06:26:32 - mmengine - INFO - Epoch(train) [80][ 320/1879] lr: 9.0128e-02 eta: 1 day, 22:55:29 time: 0.4568 data_time: 0.0368 memory: 18108 grad_norm: 3.0279 loss: 4.6597 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7037 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 1.9560 2023/02/01 06:26:42 - mmengine - INFO - Epoch(train) [80][ 340/1879] lr: 9.0124e-02 eta: 1 day, 22:55:18 time: 0.4785 data_time: 0.0352 memory: 18108 grad_norm: 3.0081 loss: 4.6786 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7508 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 1.9279 2023/02/01 06:26:51 - mmengine - INFO - Epoch(train) [80][ 360/1879] lr: 9.0119e-02 eta: 1 day, 22:55:06 time: 0.4734 data_time: 0.0437 memory: 18108 grad_norm: 3.0090 loss: 4.2361 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4424 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.7937 2023/02/01 06:27:00 - mmengine - INFO - Epoch(train) [80][ 380/1879] lr: 9.0115e-02 eta: 1 day, 22:54:54 time: 0.4563 data_time: 0.0373 memory: 18108 grad_norm: 3.0510 loss: 4.4651 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.5889 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8762 2023/02/01 06:27:09 - mmengine - INFO - Epoch(train) [80][ 400/1879] lr: 9.0110e-02 eta: 1 day, 22:54:41 time: 0.4539 data_time: 0.0352 memory: 18108 grad_norm: 2.9994 loss: 4.3559 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5419 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.8140 2023/02/01 06:27:19 - mmengine - INFO - Epoch(train) [80][ 420/1879] lr: 9.0106e-02 eta: 1 day, 22:54:29 time: 0.4669 data_time: 0.0363 memory: 18108 grad_norm: 3.0088 loss: 4.3216 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4534 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.8681 2023/02/01 06:27:28 - mmengine - INFO - Epoch(train) [80][ 440/1879] lr: 9.0101e-02 eta: 1 day, 22:54:18 time: 0.4855 data_time: 0.0367 memory: 18108 grad_norm: 3.0654 loss: 4.4719 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5842 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.8877 2023/02/01 06:27:38 - mmengine - INFO - Epoch(train) [80][ 460/1879] lr: 9.0097e-02 eta: 1 day, 22:54:05 time: 0.4586 data_time: 0.0423 memory: 18108 grad_norm: 3.0727 loss: 4.5849 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.6461 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.9388 2023/02/01 06:27:47 - mmengine - INFO - Epoch(train) [80][ 480/1879] lr: 9.0092e-02 eta: 1 day, 22:53:53 time: 0.4553 data_time: 0.0374 memory: 18108 grad_norm: 3.0224 loss: 4.4811 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6712 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.8099 2023/02/01 06:27:56 - mmengine - INFO - Epoch(train) [80][ 500/1879] lr: 9.0088e-02 eta: 1 day, 22:53:40 time: 0.4566 data_time: 0.0370 memory: 18108 grad_norm: 3.0739 loss: 4.6007 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7005 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9002 2023/02/01 06:28:05 - mmengine - INFO - Epoch(train) [80][ 520/1879] lr: 9.0083e-02 eta: 1 day, 22:53:29 time: 0.4704 data_time: 0.0367 memory: 18108 grad_norm: 3.1227 loss: 4.2398 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.3531 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8867 2023/02/01 06:28:15 - mmengine - INFO - Epoch(train) [80][ 540/1879] lr: 9.0079e-02 eta: 1 day, 22:53:17 time: 0.4727 data_time: 0.0444 memory: 18108 grad_norm: 3.0340 loss: 4.5990 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7132 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8858 2023/02/01 06:28:23 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 06:28:24 - mmengine - INFO - Epoch(train) [80][ 560/1879] lr: 9.0074e-02 eta: 1 day, 22:53:04 time: 0.4544 data_time: 0.0348 memory: 18108 grad_norm: 3.0585 loss: 4.3971 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4919 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 1.9051 2023/02/01 06:28:33 - mmengine - INFO - Epoch(train) [80][ 580/1879] lr: 9.0070e-02 eta: 1 day, 22:52:52 time: 0.4542 data_time: 0.0358 memory: 18108 grad_norm: 3.0337 loss: 4.6927 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.7391 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.9535 2023/02/01 06:28:42 - mmengine - INFO - Epoch(train) [80][ 600/1879] lr: 9.0065e-02 eta: 1 day, 22:52:40 time: 0.4646 data_time: 0.0369 memory: 18108 grad_norm: 3.0455 loss: 4.4065 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5345 top1_acc_1: 0.4471 top5_acc_1: 0.7294 loss_cls_1: 1.8720 2023/02/01 06:28:52 - mmengine - INFO - Epoch(train) [80][ 620/1879] lr: 9.0061e-02 eta: 1 day, 22:52:28 time: 0.4725 data_time: 0.0363 memory: 18108 grad_norm: 2.9971 loss: 4.1868 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3273 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.8595 2023/02/01 06:29:01 - mmengine - INFO - Epoch(train) [80][ 640/1879] lr: 9.0056e-02 eta: 1 day, 22:52:16 time: 0.4641 data_time: 0.0355 memory: 18108 grad_norm: 3.0590 loss: 4.6793 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.8457 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8336 2023/02/01 06:29:10 - mmengine - INFO - Epoch(train) [80][ 660/1879] lr: 9.0052e-02 eta: 1 day, 22:52:03 time: 0.4522 data_time: 0.0340 memory: 18108 grad_norm: 3.0078 loss: 4.5501 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.7817 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7685 2023/02/01 06:29:19 - mmengine - INFO - Epoch(train) [80][ 680/1879] lr: 9.0047e-02 eta: 1 day, 22:51:51 time: 0.4680 data_time: 0.0356 memory: 18108 grad_norm: 3.0397 loss: 4.5404 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6655 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.8749 2023/02/01 06:29:29 - mmengine - INFO - Epoch(train) [80][ 700/1879] lr: 9.0043e-02 eta: 1 day, 22:51:39 time: 0.4699 data_time: 0.0341 memory: 18108 grad_norm: 2.9882 loss: 4.5194 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6077 top1_acc_1: 0.3882 top5_acc_1: 0.6706 loss_cls_1: 1.9117 2023/02/01 06:29:38 - mmengine - INFO - Epoch(train) [80][ 720/1879] lr: 9.0038e-02 eta: 1 day, 22:51:28 time: 0.4757 data_time: 0.0424 memory: 18108 grad_norm: 2.9905 loss: 4.4209 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5766 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.8443 2023/02/01 06:29:48 - mmengine - INFO - Epoch(train) [80][ 740/1879] lr: 9.0034e-02 eta: 1 day, 22:51:15 time: 0.4579 data_time: 0.0351 memory: 18108 grad_norm: 3.0156 loss: 4.5710 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7192 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.8518 2023/02/01 06:29:57 - mmengine - INFO - Epoch(train) [80][ 760/1879] lr: 9.0029e-02 eta: 1 day, 22:51:03 time: 0.4653 data_time: 0.0340 memory: 18108 grad_norm: 2.9974 loss: 4.4221 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6014 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.8207 2023/02/01 06:30:07 - mmengine - INFO - Epoch(train) [80][ 780/1879] lr: 9.0025e-02 eta: 1 day, 22:50:52 time: 0.4899 data_time: 0.0375 memory: 18108 grad_norm: 3.0503 loss: 4.4312 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5138 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9174 2023/02/01 06:30:16 - mmengine - INFO - Epoch(train) [80][ 800/1879] lr: 9.0020e-02 eta: 1 day, 22:50:40 time: 0.4697 data_time: 0.0423 memory: 18108 grad_norm: 3.0557 loss: 4.5242 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6385 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8858 2023/02/01 06:30:25 - mmengine - INFO - Epoch(train) [80][ 820/1879] lr: 9.0016e-02 eta: 1 day, 22:50:28 time: 0.4648 data_time: 0.0352 memory: 18108 grad_norm: 3.0708 loss: 4.6404 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.8216 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8189 2023/02/01 06:30:35 - mmengine - INFO - Epoch(train) [80][ 840/1879] lr: 9.0011e-02 eta: 1 day, 22:50:16 time: 0.4679 data_time: 0.0350 memory: 18108 grad_norm: 2.9984 loss: 4.2251 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3842 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.8409 2023/02/01 06:30:44 - mmengine - INFO - Epoch(train) [80][ 860/1879] lr: 9.0007e-02 eta: 1 day, 22:50:05 time: 0.4805 data_time: 0.0338 memory: 18108 grad_norm: 2.9539 loss: 4.5748 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7340 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.8408 2023/02/01 06:30:54 - mmengine - INFO - Epoch(train) [80][ 880/1879] lr: 9.0002e-02 eta: 1 day, 22:49:53 time: 0.4769 data_time: 0.0437 memory: 18108 grad_norm: 3.0666 loss: 4.5471 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7344 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.8128 2023/02/01 06:31:03 - mmengine - INFO - Epoch(train) [80][ 900/1879] lr: 8.9998e-02 eta: 1 day, 22:49:41 time: 0.4622 data_time: 0.0372 memory: 18108 grad_norm: 2.9964 loss: 4.4647 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6342 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.8305 2023/02/01 06:31:13 - mmengine - INFO - Epoch(train) [80][ 920/1879] lr: 8.9993e-02 eta: 1 day, 22:49:29 time: 0.4783 data_time: 0.0347 memory: 18108 grad_norm: 2.9896 loss: 4.4076 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5662 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8415 2023/02/01 06:31:23 - mmengine - INFO - Epoch(train) [80][ 940/1879] lr: 8.9989e-02 eta: 1 day, 22:49:19 time: 0.4958 data_time: 0.0351 memory: 18108 grad_norm: 3.0174 loss: 4.4974 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.6151 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.8822 2023/02/01 06:31:32 - mmengine - INFO - Epoch(train) [80][ 960/1879] lr: 8.9984e-02 eta: 1 day, 22:49:07 time: 0.4739 data_time: 0.0399 memory: 18108 grad_norm: 3.0794 loss: 4.3310 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4608 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8702 2023/02/01 06:31:42 - mmengine - INFO - Epoch(train) [80][ 980/1879] lr: 8.9980e-02 eta: 1 day, 22:48:55 time: 0.4708 data_time: 0.0353 memory: 18108 grad_norm: 3.0520 loss: 4.6223 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.8019 top1_acc_1: 0.6588 top5_acc_1: 0.7882 loss_cls_1: 1.8204 2023/02/01 06:31:59 - mmengine - INFO - Epoch(train) [80][1000/1879] lr: 8.9975e-02 eta: 1 day, 22:49:01 time: 0.8781 data_time: 0.3248 memory: 18108 grad_norm: 3.0243 loss: 4.4578 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4832 top1_acc_1: 0.4588 top5_acc_1: 0.8000 loss_cls_1: 1.9746 2023/02/01 06:32:08 - mmengine - INFO - Epoch(train) [80][1020/1879] lr: 8.9971e-02 eta: 1 day, 22:48:49 time: 0.4604 data_time: 0.0332 memory: 18108 grad_norm: 3.0702 loss: 4.4096 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.5311 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.8785 2023/02/01 06:32:18 - mmengine - INFO - Epoch(train) [80][1040/1879] lr: 8.9966e-02 eta: 1 day, 22:48:38 time: 0.4799 data_time: 0.0365 memory: 18108 grad_norm: 3.1124 loss: 4.7070 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7781 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.9288 2023/02/01 06:32:27 - mmengine - INFO - Epoch(train) [80][1060/1879] lr: 8.9961e-02 eta: 1 day, 22:48:25 time: 0.4612 data_time: 0.0435 memory: 18108 grad_norm: 3.0049 loss: 4.1113 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3545 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.7568 2023/02/01 06:32:37 - mmengine - INFO - Epoch(train) [80][1080/1879] lr: 8.9957e-02 eta: 1 day, 22:48:13 time: 0.4647 data_time: 0.0363 memory: 18108 grad_norm: 3.1203 loss: 4.4383 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6041 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8342 2023/02/01 06:32:46 - mmengine - INFO - Epoch(train) [80][1100/1879] lr: 8.9952e-02 eta: 1 day, 22:48:01 time: 0.4674 data_time: 0.0353 memory: 18108 grad_norm: 3.0499 loss: 4.4709 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5267 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9442 2023/02/01 06:32:55 - mmengine - INFO - Epoch(train) [80][1120/1879] lr: 8.9948e-02 eta: 1 day, 22:47:50 time: 0.4792 data_time: 0.0365 memory: 18108 grad_norm: 3.0045 loss: 4.5809 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7626 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.8184 2023/02/01 06:33:05 - mmengine - INFO - Epoch(train) [80][1140/1879] lr: 8.9943e-02 eta: 1 day, 22:47:38 time: 0.4643 data_time: 0.0371 memory: 18108 grad_norm: 3.0561 loss: 4.6562 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8807 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.7754 2023/02/01 06:33:14 - mmengine - INFO - Epoch(train) [80][1160/1879] lr: 8.9939e-02 eta: 1 day, 22:47:26 time: 0.4626 data_time: 0.0364 memory: 18108 grad_norm: 3.0707 loss: 4.8217 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.9077 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 1.9140 2023/02/01 06:33:23 - mmengine - INFO - Epoch(train) [80][1180/1879] lr: 8.9934e-02 eta: 1 day, 22:47:14 time: 0.4701 data_time: 0.0372 memory: 18108 grad_norm: 3.0130 loss: 4.7953 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8169 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9784 2023/02/01 06:33:33 - mmengine - INFO - Epoch(train) [80][1200/1879] lr: 8.9930e-02 eta: 1 day, 22:47:02 time: 0.4735 data_time: 0.0357 memory: 18108 grad_norm: 3.0455 loss: 4.6290 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6852 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 1.9438 2023/02/01 06:33:42 - mmengine - INFO - Epoch(train) [80][1220/1879] lr: 8.9925e-02 eta: 1 day, 22:46:50 time: 0.4619 data_time: 0.0416 memory: 18108 grad_norm: 3.0178 loss: 4.4557 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6605 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.7952 2023/02/01 06:33:51 - mmengine - INFO - Epoch(train) [80][1240/1879] lr: 8.9921e-02 eta: 1 day, 22:46:38 time: 0.4632 data_time: 0.0377 memory: 18108 grad_norm: 3.0721 loss: 4.6722 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6990 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9732 2023/02/01 06:34:01 - mmengine - INFO - Epoch(train) [80][1260/1879] lr: 8.9916e-02 eta: 1 day, 22:46:25 time: 0.4615 data_time: 0.0373 memory: 18108 grad_norm: 2.9790 loss: 4.4429 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5739 top1_acc_1: 0.5412 top5_acc_1: 0.8471 loss_cls_1: 1.8690 2023/02/01 06:34:10 - mmengine - INFO - Epoch(train) [80][1280/1879] lr: 8.9912e-02 eta: 1 day, 22:46:14 time: 0.4686 data_time: 0.0344 memory: 18108 grad_norm: 3.0325 loss: 4.7457 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7971 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9486 2023/02/01 06:34:20 - mmengine - INFO - Epoch(train) [80][1300/1879] lr: 8.9907e-02 eta: 1 day, 22:46:02 time: 0.4821 data_time: 0.0385 memory: 18108 grad_norm: 3.0352 loss: 4.4008 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5865 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.8144 2023/02/01 06:34:29 - mmengine - INFO - Epoch(train) [80][1320/1879] lr: 8.9903e-02 eta: 1 day, 22:45:50 time: 0.4556 data_time: 0.0350 memory: 18108 grad_norm: 3.0335 loss: 4.4336 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4367 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 1.9969 2023/02/01 06:34:38 - mmengine - INFO - Epoch(train) [80][1340/1879] lr: 8.9898e-02 eta: 1 day, 22:45:38 time: 0.4655 data_time: 0.0372 memory: 18108 grad_norm: 3.0414 loss: 4.4628 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.5459 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.9169 2023/02/01 06:34:48 - mmengine - INFO - Epoch(train) [80][1360/1879] lr: 8.9893e-02 eta: 1 day, 22:45:26 time: 0.4678 data_time: 0.0353 memory: 18108 grad_norm: 3.0987 loss: 4.7049 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6776 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 2.0273 2023/02/01 06:34:57 - mmengine - INFO - Epoch(train) [80][1380/1879] lr: 8.9889e-02 eta: 1 day, 22:45:14 time: 0.4740 data_time: 0.0424 memory: 18108 grad_norm: 3.0595 loss: 4.4061 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.5924 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.8137 2023/02/01 06:35:06 - mmengine - INFO - Epoch(train) [80][1400/1879] lr: 8.9884e-02 eta: 1 day, 22:45:02 time: 0.4631 data_time: 0.0356 memory: 18108 grad_norm: 3.0475 loss: 4.5954 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.7068 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.8887 2023/02/01 06:35:16 - mmengine - INFO - Epoch(train) [80][1420/1879] lr: 8.9880e-02 eta: 1 day, 22:44:50 time: 0.4645 data_time: 0.0375 memory: 18108 grad_norm: 2.9972 loss: 4.5252 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.5549 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.9703 2023/02/01 06:35:25 - mmengine - INFO - Epoch(train) [80][1440/1879] lr: 8.9875e-02 eta: 1 day, 22:44:38 time: 0.4629 data_time: 0.0355 memory: 18108 grad_norm: 3.0437 loss: 4.5517 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6392 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.9125 2023/02/01 06:35:34 - mmengine - INFO - Epoch(train) [80][1460/1879] lr: 8.9871e-02 eta: 1 day, 22:44:26 time: 0.4696 data_time: 0.0366 memory: 18108 grad_norm: 3.0310 loss: 4.4746 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6338 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8408 2023/02/01 06:35:44 - mmengine - INFO - Epoch(train) [80][1480/1879] lr: 8.9866e-02 eta: 1 day, 22:44:14 time: 0.4818 data_time: 0.0433 memory: 18108 grad_norm: 3.0341 loss: 4.3251 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4091 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9160 2023/02/01 06:35:53 - mmengine - INFO - Epoch(train) [80][1500/1879] lr: 8.9862e-02 eta: 1 day, 22:44:02 time: 0.4663 data_time: 0.0361 memory: 18108 grad_norm: 3.0308 loss: 4.3671 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5384 top1_acc_1: 0.6235 top5_acc_1: 0.7529 loss_cls_1: 1.8286 2023/02/01 06:36:03 - mmengine - INFO - Epoch(train) [80][1520/1879] lr: 8.9857e-02 eta: 1 day, 22:43:50 time: 0.4623 data_time: 0.0350 memory: 18108 grad_norm: 3.0154 loss: 4.4369 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 2.5849 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.8519 2023/02/01 06:36:12 - mmengine - INFO - Epoch(train) [80][1540/1879] lr: 8.9853e-02 eta: 1 day, 22:43:38 time: 0.4614 data_time: 0.0366 memory: 18108 grad_norm: 3.0302 loss: 4.4863 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5970 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8893 2023/02/01 06:36:21 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 06:36:21 - mmengine - INFO - Epoch(train) [80][1560/1879] lr: 8.9848e-02 eta: 1 day, 22:43:27 time: 0.4776 data_time: 0.0370 memory: 18108 grad_norm: 3.1046 loss: 4.7210 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7625 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.9584 2023/02/01 06:36:31 - mmengine - INFO - Epoch(train) [80][1580/1879] lr: 8.9843e-02 eta: 1 day, 22:43:15 time: 0.4782 data_time: 0.0365 memory: 18108 grad_norm: 2.9916 loss: 4.4630 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6110 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.8520 2023/02/01 06:36:40 - mmengine - INFO - Epoch(train) [80][1600/1879] lr: 8.9839e-02 eta: 1 day, 22:43:03 time: 0.4566 data_time: 0.0347 memory: 18108 grad_norm: 2.9734 loss: 4.7448 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7470 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9979 2023/02/01 06:36:49 - mmengine - INFO - Epoch(train) [80][1620/1879] lr: 8.9834e-02 eta: 1 day, 22:42:51 time: 0.4708 data_time: 0.0377 memory: 18108 grad_norm: 2.9910 loss: 4.5874 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6853 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.9021 2023/02/01 06:36:59 - mmengine - INFO - Epoch(train) [80][1640/1879] lr: 8.9830e-02 eta: 1 day, 22:42:39 time: 0.4676 data_time: 0.0340 memory: 18108 grad_norm: 3.0571 loss: 4.7090 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.9034 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8056 2023/02/01 06:37:08 - mmengine - INFO - Epoch(train) [80][1660/1879] lr: 8.9825e-02 eta: 1 day, 22:42:27 time: 0.4700 data_time: 0.0373 memory: 18108 grad_norm: 3.0307 loss: 4.4622 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6106 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8516 2023/02/01 06:37:18 - mmengine - INFO - Epoch(train) [80][1680/1879] lr: 8.9821e-02 eta: 1 day, 22:42:15 time: 0.4645 data_time: 0.0346 memory: 18108 grad_norm: 3.0143 loss: 4.6313 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.7688 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8625 2023/02/01 06:37:27 - mmengine - INFO - Epoch(train) [80][1700/1879] lr: 8.9816e-02 eta: 1 day, 22:42:02 time: 0.4565 data_time: 0.0369 memory: 18108 grad_norm: 2.9905 loss: 4.6507 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7271 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.9236 2023/02/01 06:37:36 - mmengine - INFO - Epoch(train) [80][1720/1879] lr: 8.9812e-02 eta: 1 day, 22:41:51 time: 0.4869 data_time: 0.0346 memory: 18108 grad_norm: 3.0640 loss: 4.6811 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.8713 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8098 2023/02/01 06:37:46 - mmengine - INFO - Epoch(train) [80][1740/1879] lr: 8.9807e-02 eta: 1 day, 22:41:40 time: 0.4872 data_time: 0.0378 memory: 18108 grad_norm: 3.0280 loss: 4.5009 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5401 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.9608 2023/02/01 06:37:55 - mmengine - INFO - Epoch(train) [80][1760/1879] lr: 8.9802e-02 eta: 1 day, 22:41:28 time: 0.4633 data_time: 0.0345 memory: 18108 grad_norm: 2.9871 loss: 4.4505 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5535 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.8970 2023/02/01 06:38:05 - mmengine - INFO - Epoch(train) [80][1780/1879] lr: 8.9798e-02 eta: 1 day, 22:41:16 time: 0.4605 data_time: 0.0363 memory: 18108 grad_norm: 3.0535 loss: 4.5671 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6471 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 1.9200 2023/02/01 06:38:15 - mmengine - INFO - Epoch(train) [80][1800/1879] lr: 8.9793e-02 eta: 1 day, 22:41:05 time: 0.4905 data_time: 0.0333 memory: 18108 grad_norm: 3.0003 loss: 4.1924 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3247 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8677 2023/02/01 06:38:24 - mmengine - INFO - Epoch(train) [80][1820/1879] lr: 8.9789e-02 eta: 1 day, 22:40:53 time: 0.4713 data_time: 0.0367 memory: 18108 grad_norm: 2.9738 loss: 4.4592 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5820 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 1.8771 2023/02/01 06:38:33 - mmengine - INFO - Epoch(train) [80][1840/1879] lr: 8.9784e-02 eta: 1 day, 22:40:41 time: 0.4725 data_time: 0.0356 memory: 18108 grad_norm: 3.0061 loss: 4.5691 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6860 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8831 2023/02/01 06:38:43 - mmengine - INFO - Epoch(train) [80][1860/1879] lr: 8.9780e-02 eta: 1 day, 22:40:30 time: 0.4680 data_time: 0.0362 memory: 18108 grad_norm: 2.9864 loss: 4.4608 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5603 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.9005 2023/02/01 06:38:51 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 06:38:51 - mmengine - INFO - Epoch(train) [80][1879/1879] lr: 8.9775e-02 eta: 1 day, 22:40:17 time: 0.4487 data_time: 0.0312 memory: 18108 grad_norm: 3.0572 loss: 4.5974 top1_acc_0: 0.2857 top5_acc_0: 0.5714 loss_cls_0: 2.6860 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.9115 2023/02/01 06:38:52 - mmengine - INFO - Saving checkpoint at 80 epochs 2023/02/01 06:39:03 - mmengine - INFO - Epoch(val) [80][ 20/155] eta: 0:01:01 time: 0.4569 data_time: 0.3443 memory: 1906 2023/02/01 06:39:11 - mmengine - INFO - Epoch(val) [80][ 40/155] eta: 0:00:51 time: 0.4374 data_time: 0.3265 memory: 1906 2023/02/01 06:39:20 - mmengine - INFO - Epoch(val) [80][ 60/155] eta: 0:00:41 time: 0.4305 data_time: 0.3192 memory: 1906 2023/02/01 06:39:29 - mmengine - INFO - Epoch(val) [80][ 80/155] eta: 0:00:33 time: 0.4589 data_time: 0.3483 memory: 1906 2023/02/01 06:39:38 - mmengine - INFO - Epoch(val) [80][100/155] eta: 0:00:24 time: 0.4491 data_time: 0.3375 memory: 1906 2023/02/01 06:39:47 - mmengine - INFO - Epoch(val) [80][120/155] eta: 0:00:15 time: 0.4503 data_time: 0.3397 memory: 1906 2023/02/01 06:39:56 - mmengine - INFO - Epoch(val) [80][140/155] eta: 0:00:06 time: 0.4382 data_time: 0.3273 memory: 1906 2023/02/01 06:40:04 - mmengine - INFO - Epoch(val) [80][155/155] acc/top1: 0.4440 acc/top5: 0.7052 acc/mean1: 0.4440 2023/02/01 06:40:18 - mmengine - INFO - Epoch(train) [81][ 20/1879] lr: 8.9771e-02 eta: 1 day, 22:40:17 time: 0.7287 data_time: 0.2629 memory: 18108 grad_norm: 2.9790 loss: 4.2674 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4376 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.8299 2023/02/01 06:40:28 - mmengine - INFO - Epoch(train) [81][ 40/1879] lr: 8.9766e-02 eta: 1 day, 22:40:05 time: 0.4711 data_time: 0.0355 memory: 18108 grad_norm: 2.9649 loss: 4.2283 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3968 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8314 2023/02/01 06:40:37 - mmengine - INFO - Epoch(train) [81][ 60/1879] lr: 8.9762e-02 eta: 1 day, 22:39:54 time: 0.4892 data_time: 0.0373 memory: 18108 grad_norm: 3.0243 loss: 4.4849 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6134 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.8716 2023/02/01 06:40:48 - mmengine - INFO - Epoch(train) [81][ 80/1879] lr: 8.9757e-02 eta: 1 day, 22:39:44 time: 0.5126 data_time: 0.0445 memory: 18108 grad_norm: 3.0550 loss: 4.5300 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6023 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.9277 2023/02/01 06:40:57 - mmengine - INFO - Epoch(train) [81][ 100/1879] lr: 8.9753e-02 eta: 1 day, 22:39:33 time: 0.4796 data_time: 0.0356 memory: 18108 grad_norm: 3.0311 loss: 4.1173 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3439 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7734 2023/02/01 06:41:07 - mmengine - INFO - Epoch(train) [81][ 120/1879] lr: 8.9748e-02 eta: 1 day, 22:39:21 time: 0.4683 data_time: 0.0354 memory: 18108 grad_norm: 3.0676 loss: 4.4210 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6025 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8185 2023/02/01 06:41:17 - mmengine - INFO - Epoch(train) [81][ 140/1879] lr: 8.9743e-02 eta: 1 day, 22:39:10 time: 0.5045 data_time: 0.0446 memory: 18108 grad_norm: 3.0541 loss: 4.2536 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4942 top1_acc_1: 0.5059 top5_acc_1: 0.8235 loss_cls_1: 1.7593 2023/02/01 06:41:26 - mmengine - INFO - Epoch(train) [81][ 160/1879] lr: 8.9739e-02 eta: 1 day, 22:38:59 time: 0.4852 data_time: 0.0351 memory: 18108 grad_norm: 3.0633 loss: 4.5476 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.7185 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.8291 2023/02/01 06:41:36 - mmengine - INFO - Epoch(train) [81][ 180/1879] lr: 8.9734e-02 eta: 1 day, 22:38:48 time: 0.4734 data_time: 0.0362 memory: 18108 grad_norm: 2.9971 loss: 4.5059 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.6677 top1_acc_1: 0.4588 top5_acc_1: 0.8118 loss_cls_1: 1.8382 2023/02/01 06:41:46 - mmengine - INFO - Epoch(train) [81][ 200/1879] lr: 8.9730e-02 eta: 1 day, 22:38:37 time: 0.4979 data_time: 0.0340 memory: 18108 grad_norm: 3.0133 loss: 4.5187 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6571 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8616 2023/02/01 06:41:56 - mmengine - INFO - Epoch(train) [81][ 220/1879] lr: 8.9725e-02 eta: 1 day, 22:38:27 time: 0.5012 data_time: 0.0415 memory: 18108 grad_norm: 3.0270 loss: 4.2379 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4838 top1_acc_1: 0.7176 top5_acc_1: 0.8235 loss_cls_1: 1.7540 2023/02/01 06:42:06 - mmengine - INFO - Epoch(train) [81][ 240/1879] lr: 8.9721e-02 eta: 1 day, 22:38:15 time: 0.4847 data_time: 0.0339 memory: 18108 grad_norm: 3.0831 loss: 4.5089 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6750 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.8339 2023/02/01 06:42:16 - mmengine - INFO - Epoch(train) [81][ 260/1879] lr: 8.9716e-02 eta: 1 day, 22:38:05 time: 0.4929 data_time: 0.0377 memory: 18108 grad_norm: 3.0260 loss: 4.4558 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5206 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.9352 2023/02/01 06:42:26 - mmengine - INFO - Epoch(train) [81][ 280/1879] lr: 8.9711e-02 eta: 1 day, 22:37:55 time: 0.5143 data_time: 0.0326 memory: 18108 grad_norm: 3.0890 loss: 4.3162 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5247 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.7915 2023/02/01 06:42:36 - mmengine - INFO - Epoch(train) [81][ 300/1879] lr: 8.9707e-02 eta: 1 day, 22:37:44 time: 0.5049 data_time: 0.0349 memory: 18108 grad_norm: 3.0554 loss: 4.5355 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7395 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7960 2023/02/01 06:42:46 - mmengine - INFO - Epoch(train) [81][ 320/1879] lr: 8.9702e-02 eta: 1 day, 22:37:34 time: 0.4978 data_time: 0.0334 memory: 18108 grad_norm: 3.0417 loss: 4.3293 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4663 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.8630 2023/02/01 06:42:56 - mmengine - INFO - Epoch(train) [81][ 340/1879] lr: 8.9698e-02 eta: 1 day, 22:37:23 time: 0.5026 data_time: 0.0330 memory: 18108 grad_norm: 3.0107 loss: 4.5644 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6778 top1_acc_1: 0.5059 top5_acc_1: 0.8235 loss_cls_1: 1.8867 2023/02/01 06:43:06 - mmengine - INFO - Epoch(train) [81][ 360/1879] lr: 8.9693e-02 eta: 1 day, 22:37:13 time: 0.4999 data_time: 0.0414 memory: 18108 grad_norm: 3.0279 loss: 4.3956 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5571 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.8385 2023/02/01 06:43:16 - mmengine - INFO - Epoch(train) [81][ 380/1879] lr: 8.9688e-02 eta: 1 day, 22:37:02 time: 0.4960 data_time: 0.0348 memory: 18108 grad_norm: 3.0646 loss: 4.4193 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5861 top1_acc_1: 0.6471 top5_acc_1: 0.7529 loss_cls_1: 1.8332 2023/02/01 06:43:26 - mmengine - INFO - Epoch(train) [81][ 400/1879] lr: 8.9684e-02 eta: 1 day, 22:36:52 time: 0.5016 data_time: 0.0323 memory: 18108 grad_norm: 3.0382 loss: 4.3652 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5495 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8157 2023/02/01 06:43:36 - mmengine - INFO - Epoch(train) [81][ 420/1879] lr: 8.9679e-02 eta: 1 day, 22:36:42 time: 0.5134 data_time: 0.0358 memory: 18108 grad_norm: 3.0338 loss: 4.4472 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6453 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.8018 2023/02/01 06:43:46 - mmengine - INFO - Epoch(train) [81][ 440/1879] lr: 8.9675e-02 eta: 1 day, 22:36:31 time: 0.4939 data_time: 0.0411 memory: 18108 grad_norm: 3.0592 loss: 4.5109 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6438 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.8672 2023/02/01 06:43:56 - mmengine - INFO - Epoch(train) [81][ 460/1879] lr: 8.9670e-02 eta: 1 day, 22:36:20 time: 0.4976 data_time: 0.0350 memory: 18108 grad_norm: 3.0522 loss: 4.4280 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.5318 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.8962 2023/02/01 06:44:06 - mmengine - INFO - Epoch(train) [81][ 480/1879] lr: 8.9666e-02 eta: 1 day, 22:36:10 time: 0.5075 data_time: 0.0332 memory: 18108 grad_norm: 3.0129 loss: 4.4021 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5938 top1_acc_1: 0.5294 top5_acc_1: 0.8471 loss_cls_1: 1.8083 2023/02/01 06:44:16 - mmengine - INFO - Epoch(train) [81][ 500/1879] lr: 8.9661e-02 eta: 1 day, 22:36:00 time: 0.5010 data_time: 0.0331 memory: 18108 grad_norm: 3.0434 loss: 4.5337 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.5338 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.9999 2023/02/01 06:44:26 - mmengine - INFO - Epoch(train) [81][ 520/1879] lr: 8.9656e-02 eta: 1 day, 22:35:49 time: 0.4952 data_time: 0.0409 memory: 18108 grad_norm: 3.0213 loss: 4.1639 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.2932 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.8707 2023/02/01 06:44:36 - mmengine - INFO - Epoch(train) [81][ 540/1879] lr: 8.9652e-02 eta: 1 day, 22:35:39 time: 0.5104 data_time: 0.0353 memory: 18108 grad_norm: 3.0170 loss: 4.5356 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6252 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9104 2023/02/01 06:44:46 - mmengine - INFO - Epoch(train) [81][ 560/1879] lr: 8.9647e-02 eta: 1 day, 22:35:28 time: 0.4962 data_time: 0.0315 memory: 18108 grad_norm: 3.0949 loss: 4.7350 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.9082 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.8268 2023/02/01 06:44:56 - mmengine - INFO - Epoch(train) [81][ 580/1879] lr: 8.9643e-02 eta: 1 day, 22:35:17 time: 0.4946 data_time: 0.0417 memory: 18108 grad_norm: 3.0283 loss: 4.4490 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6052 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.8438 2023/02/01 06:45:06 - mmengine - INFO - Epoch(train) [81][ 600/1879] lr: 8.9638e-02 eta: 1 day, 22:35:07 time: 0.5045 data_time: 0.0344 memory: 18108 grad_norm: 3.0671 loss: 4.4875 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5676 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.9199 2023/02/01 06:45:16 - mmengine - INFO - Epoch(train) [81][ 620/1879] lr: 8.9633e-02 eta: 1 day, 22:34:57 time: 0.5039 data_time: 0.0330 memory: 18108 grad_norm: 3.0886 loss: 4.4845 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6410 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 1.8435 2023/02/01 06:45:26 - mmengine - INFO - Epoch(train) [81][ 640/1879] lr: 8.9629e-02 eta: 1 day, 22:34:46 time: 0.4975 data_time: 0.0319 memory: 18108 grad_norm: 3.1040 loss: 4.3166 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5583 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7583 2023/02/01 06:45:36 - mmengine - INFO - Epoch(train) [81][ 660/1879] lr: 8.9624e-02 eta: 1 day, 22:34:36 time: 0.5045 data_time: 0.0431 memory: 18108 grad_norm: 3.0626 loss: 4.3207 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5444 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.7763 2023/02/01 06:45:47 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 06:45:47 - mmengine - INFO - Epoch(train) [81][ 680/1879] lr: 8.9620e-02 eta: 1 day, 22:34:26 time: 0.5156 data_time: 0.0332 memory: 18108 grad_norm: 3.0577 loss: 4.4408 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6477 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7931 2023/02/01 06:45:57 - mmengine - INFO - Epoch(train) [81][ 700/1879] lr: 8.9615e-02 eta: 1 day, 22:34:15 time: 0.4988 data_time: 0.0345 memory: 18108 grad_norm: 3.0476 loss: 4.3578 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4785 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.8792 2023/02/01 06:46:07 - mmengine - INFO - Epoch(train) [81][ 720/1879] lr: 8.9610e-02 eta: 1 day, 22:34:05 time: 0.5051 data_time: 0.0354 memory: 18108 grad_norm: 3.0087 loss: 4.5423 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7263 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 1.8160 2023/02/01 06:46:17 - mmengine - INFO - Epoch(train) [81][ 740/1879] lr: 8.9606e-02 eta: 1 day, 22:33:55 time: 0.4970 data_time: 0.0373 memory: 18108 grad_norm: 2.9711 loss: 4.5057 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6119 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.8938 2023/02/01 06:46:27 - mmengine - INFO - Epoch(train) [81][ 760/1879] lr: 8.9601e-02 eta: 1 day, 22:33:44 time: 0.5028 data_time: 0.0311 memory: 18108 grad_norm: 2.9924 loss: 4.5008 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5873 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9135 2023/02/01 06:46:37 - mmengine - INFO - Epoch(train) [81][ 780/1879] lr: 8.9597e-02 eta: 1 day, 22:33:34 time: 0.5028 data_time: 0.0369 memory: 18108 grad_norm: 3.0168 loss: 4.4005 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5623 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.8382 2023/02/01 06:46:47 - mmengine - INFO - Epoch(train) [81][ 800/1879] lr: 8.9592e-02 eta: 1 day, 22:33:23 time: 0.4947 data_time: 0.0383 memory: 18108 grad_norm: 3.0822 loss: 4.4918 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5495 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.9423 2023/02/01 06:46:57 - mmengine - INFO - Epoch(train) [81][ 820/1879] lr: 8.9587e-02 eta: 1 day, 22:33:13 time: 0.5127 data_time: 0.0344 memory: 18108 grad_norm: 3.0683 loss: 4.3778 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5390 top1_acc_1: 0.4588 top5_acc_1: 0.7294 loss_cls_1: 1.8388 2023/02/01 06:47:07 - mmengine - INFO - Epoch(train) [81][ 840/1879] lr: 8.9583e-02 eta: 1 day, 22:33:02 time: 0.4977 data_time: 0.0376 memory: 18108 grad_norm: 3.0133 loss: 4.5553 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6601 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8952 2023/02/01 06:47:17 - mmengine - INFO - Epoch(train) [81][ 860/1879] lr: 8.9578e-02 eta: 1 day, 22:32:53 time: 0.5177 data_time: 0.0344 memory: 18108 grad_norm: 3.0349 loss: 4.6650 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7214 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.9436 2023/02/01 06:47:27 - mmengine - INFO - Epoch(train) [81][ 880/1879] lr: 8.9574e-02 eta: 1 day, 22:32:42 time: 0.4992 data_time: 0.0357 memory: 18108 grad_norm: 3.0340 loss: 4.4960 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5924 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.9036 2023/02/01 06:47:37 - mmengine - INFO - Epoch(train) [81][ 900/1879] lr: 8.9569e-02 eta: 1 day, 22:32:32 time: 0.4972 data_time: 0.0278 memory: 18108 grad_norm: 3.0157 loss: 4.6047 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6807 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 1.9240 2023/02/01 06:47:48 - mmengine - INFO - Epoch(train) [81][ 920/1879] lr: 8.9564e-02 eta: 1 day, 22:32:21 time: 0.5083 data_time: 0.0466 memory: 18108 grad_norm: 3.0422 loss: 4.2873 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4555 top1_acc_1: 0.4353 top5_acc_1: 0.7765 loss_cls_1: 1.8317 2023/02/01 06:47:57 - mmengine - INFO - Epoch(train) [81][ 940/1879] lr: 8.9560e-02 eta: 1 day, 22:32:10 time: 0.4893 data_time: 0.0303 memory: 18108 grad_norm: 2.9550 loss: 4.3685 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4361 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9324 2023/02/01 06:48:07 - mmengine - INFO - Epoch(train) [81][ 960/1879] lr: 8.9555e-02 eta: 1 day, 22:32:00 time: 0.4976 data_time: 0.0373 memory: 18108 grad_norm: 2.9599 loss: 4.4798 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6219 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.8578 2023/02/01 06:48:17 - mmengine - INFO - Epoch(train) [81][ 980/1879] lr: 8.9551e-02 eta: 1 day, 22:31:50 time: 0.5058 data_time: 0.0380 memory: 18108 grad_norm: 3.0831 loss: 4.4104 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.5939 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8165 2023/02/01 06:48:28 - mmengine - INFO - Epoch(train) [81][1000/1879] lr: 8.9546e-02 eta: 1 day, 22:31:40 time: 0.5112 data_time: 0.0315 memory: 18108 grad_norm: 3.0288 loss: 4.6057 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7407 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8649 2023/02/01 06:48:38 - mmengine - INFO - Epoch(train) [81][1020/1879] lr: 8.9541e-02 eta: 1 day, 22:31:29 time: 0.5000 data_time: 0.0340 memory: 18108 grad_norm: 3.0467 loss: 4.5657 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7229 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.8428 2023/02/01 06:48:48 - mmengine - INFO - Epoch(train) [81][1040/1879] lr: 8.9537e-02 eta: 1 day, 22:31:19 time: 0.5089 data_time: 0.0342 memory: 18108 grad_norm: 3.0145 loss: 4.5250 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6199 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9051 2023/02/01 06:48:58 - mmengine - INFO - Epoch(train) [81][1060/1879] lr: 8.9532e-02 eta: 1 day, 22:31:09 time: 0.5183 data_time: 0.0367 memory: 18108 grad_norm: 3.0430 loss: 4.5537 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.6292 top1_acc_1: 0.5765 top5_acc_1: 0.7176 loss_cls_1: 1.9245 2023/02/01 06:49:08 - mmengine - INFO - Epoch(train) [81][1080/1879] lr: 8.9528e-02 eta: 1 day, 22:30:59 time: 0.4997 data_time: 0.0358 memory: 18108 grad_norm: 3.0651 loss: 4.5355 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6387 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.8968 2023/02/01 06:49:19 - mmengine - INFO - Epoch(train) [81][1100/1879] lr: 8.9523e-02 eta: 1 day, 22:30:49 time: 0.5166 data_time: 0.0325 memory: 18108 grad_norm: 3.0825 loss: 4.4732 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.6188 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8544 2023/02/01 06:49:29 - mmengine - INFO - Epoch(train) [81][1120/1879] lr: 8.9518e-02 eta: 1 day, 22:30:39 time: 0.5164 data_time: 0.0392 memory: 18108 grad_norm: 2.9818 loss: 4.3368 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4393 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.8975 2023/02/01 06:49:39 - mmengine - INFO - Epoch(train) [81][1140/1879] lr: 8.9514e-02 eta: 1 day, 22:30:29 time: 0.5082 data_time: 0.0344 memory: 18108 grad_norm: 3.0362 loss: 4.5293 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5681 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 1.9611 2023/02/01 06:49:49 - mmengine - INFO - Epoch(train) [81][1160/1879] lr: 8.9509e-02 eta: 1 day, 22:30:18 time: 0.4954 data_time: 0.0334 memory: 18108 grad_norm: 3.0426 loss: 4.5714 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5638 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 2.0076 2023/02/01 06:49:59 - mmengine - INFO - Epoch(train) [81][1180/1879] lr: 8.9505e-02 eta: 1 day, 22:30:08 time: 0.5138 data_time: 0.0324 memory: 18108 grad_norm: 3.0388 loss: 4.6374 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7221 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9153 2023/02/01 06:50:10 - mmengine - INFO - Epoch(train) [81][1200/1879] lr: 8.9500e-02 eta: 1 day, 22:29:58 time: 0.5064 data_time: 0.0325 memory: 18108 grad_norm: 3.0772 loss: 4.6175 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7013 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.9161 2023/02/01 06:50:20 - mmengine - INFO - Epoch(train) [81][1220/1879] lr: 8.9495e-02 eta: 1 day, 22:29:48 time: 0.5059 data_time: 0.0332 memory: 18108 grad_norm: 3.0065 loss: 4.6453 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7592 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.8861 2023/02/01 06:50:30 - mmengine - INFO - Epoch(train) [81][1240/1879] lr: 8.9491e-02 eta: 1 day, 22:29:38 time: 0.5087 data_time: 0.0328 memory: 18108 grad_norm: 3.0315 loss: 4.4122 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.5817 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8305 2023/02/01 06:50:40 - mmengine - INFO - Epoch(train) [81][1260/1879] lr: 8.9486e-02 eta: 1 day, 22:29:28 time: 0.5188 data_time: 0.0388 memory: 18108 grad_norm: 2.9997 loss: 4.7524 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8456 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.9069 2023/02/01 06:50:50 - mmengine - INFO - Epoch(train) [81][1280/1879] lr: 8.9481e-02 eta: 1 day, 22:29:17 time: 0.4973 data_time: 0.0336 memory: 18108 grad_norm: 3.0335 loss: 4.4139 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5438 top1_acc_1: 0.4941 top5_acc_1: 0.8118 loss_cls_1: 1.8700 2023/02/01 06:51:00 - mmengine - INFO - Epoch(train) [81][1300/1879] lr: 8.9477e-02 eta: 1 day, 22:29:07 time: 0.4998 data_time: 0.0313 memory: 18108 grad_norm: 3.0304 loss: 4.4067 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5086 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.8981 2023/02/01 06:51:10 - mmengine - INFO - Epoch(train) [81][1320/1879] lr: 8.9472e-02 eta: 1 day, 22:28:57 time: 0.5095 data_time: 0.0388 memory: 18108 grad_norm: 2.9972 loss: 4.5551 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7122 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.8429 2023/02/01 06:51:21 - mmengine - INFO - Epoch(train) [81][1340/1879] lr: 8.9468e-02 eta: 1 day, 22:28:47 time: 0.5063 data_time: 0.0312 memory: 18108 grad_norm: 3.0391 loss: 4.7337 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8835 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8502 2023/02/01 06:51:30 - mmengine - INFO - Epoch(train) [81][1360/1879] lr: 8.9463e-02 eta: 1 day, 22:28:36 time: 0.4979 data_time: 0.0339 memory: 18108 grad_norm: 3.0278 loss: 4.4684 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.5583 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.9102 2023/02/01 06:51:41 - mmengine - INFO - Epoch(train) [81][1380/1879] lr: 8.9458e-02 eta: 1 day, 22:28:26 time: 0.5173 data_time: 0.0388 memory: 18108 grad_norm: 3.0253 loss: 4.4201 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6118 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.8083 2023/02/01 06:51:51 - mmengine - INFO - Epoch(train) [81][1400/1879] lr: 8.9454e-02 eta: 1 day, 22:28:15 time: 0.4921 data_time: 0.0343 memory: 18108 grad_norm: 3.0567 loss: 4.4328 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5068 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9260 2023/02/01 06:52:01 - mmengine - INFO - Epoch(train) [81][1420/1879] lr: 8.9449e-02 eta: 1 day, 22:28:05 time: 0.5034 data_time: 0.0328 memory: 18108 grad_norm: 3.0311 loss: 4.5547 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6231 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 1.9316 2023/02/01 06:52:11 - mmengine - INFO - Epoch(train) [81][1440/1879] lr: 8.9444e-02 eta: 1 day, 22:27:54 time: 0.5000 data_time: 0.0392 memory: 18108 grad_norm: 2.9862 loss: 4.5447 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5283 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 2.0164 2023/02/01 06:52:21 - mmengine - INFO - Epoch(train) [81][1460/1879] lr: 8.9440e-02 eta: 1 day, 22:27:44 time: 0.5110 data_time: 0.0336 memory: 18108 grad_norm: 2.9922 loss: 4.6309 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7100 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9209 2023/02/01 06:52:31 - mmengine - INFO - Epoch(train) [81][1480/1879] lr: 8.9435e-02 eta: 1 day, 22:27:34 time: 0.4986 data_time: 0.0341 memory: 18108 grad_norm: 3.0508 loss: 4.6204 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7012 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9192 2023/02/01 06:52:41 - mmengine - INFO - Epoch(train) [81][1500/1879] lr: 8.9431e-02 eta: 1 day, 22:27:24 time: 0.5069 data_time: 0.0321 memory: 18108 grad_norm: 3.0830 loss: 4.4927 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5546 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.9381 2023/02/01 06:52:52 - mmengine - INFO - Epoch(train) [81][1520/1879] lr: 8.9426e-02 eta: 1 day, 22:27:14 time: 0.5250 data_time: 0.0422 memory: 18108 grad_norm: 3.1096 loss: 4.4877 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6408 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.8469 2023/02/01 06:53:02 - mmengine - INFO - Epoch(train) [81][1540/1879] lr: 8.9421e-02 eta: 1 day, 22:27:04 time: 0.4968 data_time: 0.0319 memory: 18108 grad_norm: 3.1181 loss: 4.5204 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.7084 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.8120 2023/02/01 06:53:12 - mmengine - INFO - Epoch(train) [81][1560/1879] lr: 8.9417e-02 eta: 1 day, 22:26:53 time: 0.5055 data_time: 0.0362 memory: 18108 grad_norm: 3.0594 loss: 4.4410 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6539 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.7871 2023/02/01 06:53:22 - mmengine - INFO - Epoch(train) [81][1580/1879] lr: 8.9412e-02 eta: 1 day, 22:26:44 time: 0.5240 data_time: 0.0385 memory: 18108 grad_norm: 3.0198 loss: 4.5070 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5546 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.9524 2023/02/01 06:53:32 - mmengine - INFO - Epoch(train) [81][1600/1879] lr: 8.9407e-02 eta: 1 day, 22:26:33 time: 0.4934 data_time: 0.0280 memory: 18108 grad_norm: 3.1191 loss: 4.7493 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.8023 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9470 2023/02/01 06:53:42 - mmengine - INFO - Epoch(train) [81][1620/1879] lr: 8.9403e-02 eta: 1 day, 22:26:22 time: 0.4940 data_time: 0.0378 memory: 18108 grad_norm: 3.0270 loss: 4.5570 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.7088 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.8483 2023/02/01 06:53:52 - mmengine - INFO - Epoch(train) [81][1640/1879] lr: 8.9398e-02 eta: 1 day, 22:26:12 time: 0.5073 data_time: 0.0295 memory: 18108 grad_norm: 3.0494 loss: 4.1514 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.4487 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 1.7028 2023/02/01 06:54:03 - mmengine - INFO - Epoch(train) [81][1660/1879] lr: 8.9393e-02 eta: 1 day, 22:26:03 time: 0.5245 data_time: 0.0454 memory: 18108 grad_norm: 3.0309 loss: 4.8471 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.8679 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.9793 2023/02/01 06:54:13 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 06:54:13 - mmengine - INFO - Epoch(train) [81][1680/1879] lr: 8.9389e-02 eta: 1 day, 22:25:52 time: 0.4953 data_time: 0.0333 memory: 18108 grad_norm: 3.0773 loss: 4.5664 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6543 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.9121 2023/02/01 06:54:23 - mmengine - INFO - Epoch(train) [81][1700/1879] lr: 8.9384e-02 eta: 1 day, 22:25:41 time: 0.4972 data_time: 0.0333 memory: 18108 grad_norm: 2.9942 loss: 4.3811 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.5783 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8028 2023/02/01 06:54:33 - mmengine - INFO - Epoch(train) [81][1720/1879] lr: 8.9380e-02 eta: 1 day, 22:25:32 time: 0.5311 data_time: 0.0337 memory: 18108 grad_norm: 3.0153 loss: 4.5399 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.6049 top1_acc_1: 0.4588 top5_acc_1: 0.7412 loss_cls_1: 1.9350 2023/02/01 06:54:43 - mmengine - INFO - Epoch(train) [81][1740/1879] lr: 8.9375e-02 eta: 1 day, 22:25:22 time: 0.5154 data_time: 0.0313 memory: 18108 grad_norm: 3.0503 loss: 4.4064 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5699 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.8364 2023/02/01 06:54:53 - mmengine - INFO - Epoch(train) [81][1760/1879] lr: 8.9370e-02 eta: 1 day, 22:25:12 time: 0.4959 data_time: 0.0356 memory: 18108 grad_norm: 2.9698 loss: 4.6615 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.7078 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.9538 2023/02/01 06:55:04 - mmengine - INFO - Epoch(train) [81][1780/1879] lr: 8.9366e-02 eta: 1 day, 22:25:01 time: 0.5089 data_time: 0.0322 memory: 18108 grad_norm: 2.9734 loss: 4.5845 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6333 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.9512 2023/02/01 06:55:14 - mmengine - INFO - Epoch(train) [81][1800/1879] lr: 8.9361e-02 eta: 1 day, 22:24:52 time: 0.5306 data_time: 0.0377 memory: 18108 grad_norm: 3.0661 loss: 4.2748 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4538 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8210 2023/02/01 06:55:24 - mmengine - INFO - Epoch(train) [81][1820/1879] lr: 8.9356e-02 eta: 1 day, 22:24:42 time: 0.4965 data_time: 0.0340 memory: 18108 grad_norm: 3.0746 loss: 4.6862 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.7967 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.8895 2023/02/01 06:55:34 - mmengine - INFO - Epoch(train) [81][1840/1879] lr: 8.9352e-02 eta: 1 day, 22:24:32 time: 0.5164 data_time: 0.0354 memory: 18108 grad_norm: 3.0170 loss: 4.6944 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.6535 top1_acc_1: 0.4588 top5_acc_1: 0.7412 loss_cls_1: 2.0408 2023/02/01 06:55:45 - mmengine - INFO - Epoch(train) [81][1860/1879] lr: 8.9347e-02 eta: 1 day, 22:24:21 time: 0.5023 data_time: 0.0326 memory: 18108 grad_norm: 3.0208 loss: 4.5113 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.7111 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.8002 2023/02/01 06:55:54 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 06:55:54 - mmengine - INFO - Epoch(train) [81][1879/1879] lr: 8.9343e-02 eta: 1 day, 22:24:11 time: 0.4843 data_time: 0.0289 memory: 18108 grad_norm: 3.0798 loss: 4.3187 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 2.4878 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.8308 2023/02/01 06:56:09 - mmengine - INFO - Epoch(train) [82][ 20/1879] lr: 8.9338e-02 eta: 1 day, 22:24:09 time: 0.7047 data_time: 0.2565 memory: 18108 grad_norm: 2.9942 loss: 4.3833 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5337 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8496 2023/02/01 06:56:18 - mmengine - INFO - Epoch(train) [82][ 40/1879] lr: 8.9333e-02 eta: 1 day, 22:23:57 time: 0.4683 data_time: 0.0353 memory: 18108 grad_norm: 3.0656 loss: 4.4489 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.6712 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.7777 2023/02/01 06:56:27 - mmengine - INFO - Epoch(train) [82][ 60/1879] lr: 8.9329e-02 eta: 1 day, 22:23:45 time: 0.4698 data_time: 0.0381 memory: 18108 grad_norm: 3.0490 loss: 4.6319 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7334 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 1.8985 2023/02/01 06:56:38 - mmengine - INFO - Epoch(train) [82][ 80/1879] lr: 8.9324e-02 eta: 1 day, 22:23:36 time: 0.5188 data_time: 0.0338 memory: 18108 grad_norm: 3.1133 loss: 4.4679 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6612 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8067 2023/02/01 06:56:47 - mmengine - INFO - Epoch(train) [82][ 100/1879] lr: 8.9319e-02 eta: 1 day, 22:23:24 time: 0.4771 data_time: 0.0363 memory: 18108 grad_norm: 2.9680 loss: 4.3511 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5402 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8109 2023/02/01 06:56:57 - mmengine - INFO - Epoch(train) [82][ 120/1879] lr: 8.9315e-02 eta: 1 day, 22:23:12 time: 0.4646 data_time: 0.0344 memory: 18108 grad_norm: 3.0545 loss: 4.3432 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5815 top1_acc_1: 0.6353 top5_acc_1: 0.9176 loss_cls_1: 1.7617 2023/02/01 06:57:07 - mmengine - INFO - Epoch(train) [82][ 140/1879] lr: 8.9310e-02 eta: 1 day, 22:23:01 time: 0.4933 data_time: 0.0437 memory: 18108 grad_norm: 3.0189 loss: 4.3504 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.5403 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.8101 2023/02/01 06:57:16 - mmengine - INFO - Epoch(train) [82][ 160/1879] lr: 8.9305e-02 eta: 1 day, 22:22:50 time: 0.4822 data_time: 0.0329 memory: 18108 grad_norm: 3.1038 loss: 4.5388 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6624 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.8764 2023/02/01 06:57:26 - mmengine - INFO - Epoch(train) [82][ 180/1879] lr: 8.9301e-02 eta: 1 day, 22:22:39 time: 0.4845 data_time: 0.0379 memory: 18108 grad_norm: 3.0541 loss: 4.4259 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6076 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8182 2023/02/01 06:57:35 - mmengine - INFO - Epoch(train) [82][ 200/1879] lr: 8.9296e-02 eta: 1 day, 22:22:27 time: 0.4747 data_time: 0.0324 memory: 18108 grad_norm: 3.0261 loss: 4.2268 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3610 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.8658 2023/02/01 06:57:45 - mmengine - INFO - Epoch(train) [82][ 220/1879] lr: 8.9291e-02 eta: 1 day, 22:22:17 time: 0.4992 data_time: 0.0427 memory: 18108 grad_norm: 3.0504 loss: 4.4430 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.5352 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.9078 2023/02/01 06:57:55 - mmengine - INFO - Epoch(train) [82][ 240/1879] lr: 8.9287e-02 eta: 1 day, 22:22:05 time: 0.4788 data_time: 0.0338 memory: 18108 grad_norm: 3.0353 loss: 4.4387 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.6673 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.7715 2023/02/01 06:58:05 - mmengine - INFO - Epoch(train) [82][ 260/1879] lr: 8.9282e-02 eta: 1 day, 22:21:55 time: 0.4910 data_time: 0.0380 memory: 18108 grad_norm: 3.0682 loss: 4.3333 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4689 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.8645 2023/02/01 06:58:14 - mmengine - INFO - Epoch(train) [82][ 280/1879] lr: 8.9277e-02 eta: 1 day, 22:21:43 time: 0.4776 data_time: 0.0331 memory: 18108 grad_norm: 3.0737 loss: 4.4220 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5390 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8831 2023/02/01 06:58:24 - mmengine - INFO - Epoch(train) [82][ 300/1879] lr: 8.9273e-02 eta: 1 day, 22:21:32 time: 0.4967 data_time: 0.0413 memory: 18108 grad_norm: 3.0540 loss: 4.4203 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6073 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.8131 2023/02/01 06:58:34 - mmengine - INFO - Epoch(train) [82][ 320/1879] lr: 8.9268e-02 eta: 1 day, 22:21:21 time: 0.4720 data_time: 0.0329 memory: 18108 grad_norm: 3.0267 loss: 4.4637 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6368 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8269 2023/02/01 06:58:44 - mmengine - INFO - Epoch(train) [82][ 340/1879] lr: 8.9263e-02 eta: 1 day, 22:21:10 time: 0.4914 data_time: 0.0373 memory: 18108 grad_norm: 2.9977 loss: 4.2770 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4800 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.7971 2023/02/01 06:58:53 - mmengine - INFO - Epoch(train) [82][ 360/1879] lr: 8.9259e-02 eta: 1 day, 22:20:59 time: 0.4860 data_time: 0.0398 memory: 18108 grad_norm: 3.0393 loss: 4.3235 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4342 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.8893 2023/02/01 06:59:03 - mmengine - INFO - Epoch(train) [82][ 380/1879] lr: 8.9254e-02 eta: 1 day, 22:20:48 time: 0.4911 data_time: 0.0355 memory: 18108 grad_norm: 3.1109 loss: 4.3783 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5442 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8341 2023/02/01 06:59:13 - mmengine - INFO - Epoch(train) [82][ 400/1879] lr: 8.9249e-02 eta: 1 day, 22:20:37 time: 0.4929 data_time: 0.0393 memory: 18108 grad_norm: 3.0539 loss: 4.6677 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7913 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8764 2023/02/01 06:59:23 - mmengine - INFO - Epoch(train) [82][ 420/1879] lr: 8.9245e-02 eta: 1 day, 22:20:26 time: 0.4972 data_time: 0.0311 memory: 18108 grad_norm: 3.0430 loss: 4.4644 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6393 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.8251 2023/02/01 06:59:33 - mmengine - INFO - Epoch(train) [82][ 440/1879] lr: 8.9240e-02 eta: 1 day, 22:20:15 time: 0.4873 data_time: 0.0421 memory: 18108 grad_norm: 3.0340 loss: 4.6150 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7240 top1_acc_1: 0.4941 top5_acc_1: 0.6941 loss_cls_1: 1.8911 2023/02/01 06:59:43 - mmengine - INFO - Epoch(train) [82][ 460/1879] lr: 8.9235e-02 eta: 1 day, 22:20:05 time: 0.4979 data_time: 0.0294 memory: 18108 grad_norm: 3.0197 loss: 4.3740 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5278 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8463 2023/02/01 06:59:53 - mmengine - INFO - Epoch(train) [82][ 480/1879] lr: 8.9231e-02 eta: 1 day, 22:19:54 time: 0.4996 data_time: 0.0381 memory: 18108 grad_norm: 2.9353 loss: 4.3860 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5175 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.8685 2023/02/01 07:00:03 - mmengine - INFO - Epoch(train) [82][ 500/1879] lr: 8.9226e-02 eta: 1 day, 22:19:44 time: 0.4997 data_time: 0.0370 memory: 18108 grad_norm: 3.0411 loss: 4.3938 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5133 top1_acc_1: 0.4588 top5_acc_1: 0.7765 loss_cls_1: 1.8805 2023/02/01 07:00:13 - mmengine - INFO - Epoch(train) [82][ 520/1879] lr: 8.9221e-02 eta: 1 day, 22:19:33 time: 0.4884 data_time: 0.0376 memory: 18108 grad_norm: 3.0741 loss: 4.7883 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.8876 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.9007 2023/02/01 07:00:22 - mmengine - INFO - Epoch(train) [82][ 540/1879] lr: 8.9217e-02 eta: 1 day, 22:19:22 time: 0.4840 data_time: 0.0291 memory: 18108 grad_norm: 3.0699 loss: 4.3762 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5526 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 1.8236 2023/02/01 07:00:32 - mmengine - INFO - Epoch(train) [82][ 560/1879] lr: 8.9212e-02 eta: 1 day, 22:19:11 time: 0.4974 data_time: 0.0448 memory: 18108 grad_norm: 3.0596 loss: 4.4850 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6767 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.8083 2023/02/01 07:00:42 - mmengine - INFO - Epoch(train) [82][ 580/1879] lr: 8.9207e-02 eta: 1 day, 22:19:00 time: 0.4937 data_time: 0.0315 memory: 18108 grad_norm: 3.0828 loss: 4.5027 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6189 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8838 2023/02/01 07:00:52 - mmengine - INFO - Epoch(train) [82][ 600/1879] lr: 8.9203e-02 eta: 1 day, 22:18:50 time: 0.4978 data_time: 0.0375 memory: 18108 grad_norm: 3.0459 loss: 4.4267 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5657 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8610 2023/02/01 07:01:02 - mmengine - INFO - Epoch(train) [82][ 620/1879] lr: 8.9198e-02 eta: 1 day, 22:18:39 time: 0.5065 data_time: 0.0374 memory: 18108 grad_norm: 3.0915 loss: 4.6775 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.7310 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9466 2023/02/01 07:01:12 - mmengine - INFO - Epoch(train) [82][ 640/1879] lr: 8.9193e-02 eta: 1 day, 22:18:29 time: 0.4954 data_time: 0.0385 memory: 18108 grad_norm: 3.0905 loss: 4.8526 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9117 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.9409 2023/02/01 07:01:22 - mmengine - INFO - Epoch(train) [82][ 660/1879] lr: 8.9189e-02 eta: 1 day, 22:18:18 time: 0.5084 data_time: 0.0291 memory: 18108 grad_norm: 3.0158 loss: 4.2721 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4692 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.8029 2023/02/01 07:01:32 - mmengine - INFO - Epoch(train) [82][ 680/1879] lr: 8.9184e-02 eta: 1 day, 22:18:08 time: 0.5086 data_time: 0.0418 memory: 18108 grad_norm: 3.0683 loss: 4.6429 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8105 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8324 2023/02/01 07:01:42 - mmengine - INFO - Epoch(train) [82][ 700/1879] lr: 8.9179e-02 eta: 1 day, 22:17:58 time: 0.4978 data_time: 0.0305 memory: 18108 grad_norm: 3.0197 loss: 4.4365 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6095 top1_acc_1: 0.5882 top5_acc_1: 0.7294 loss_cls_1: 1.8270 2023/02/01 07:01:53 - mmengine - INFO - Epoch(train) [82][ 720/1879] lr: 8.9175e-02 eta: 1 day, 22:17:48 time: 0.5079 data_time: 0.0384 memory: 18108 grad_norm: 3.0505 loss: 4.4345 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5798 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.8547 2023/02/01 07:02:03 - mmengine - INFO - Epoch(train) [82][ 740/1879] lr: 8.9170e-02 eta: 1 day, 22:17:38 time: 0.5148 data_time: 0.0319 memory: 18108 grad_norm: 3.0286 loss: 4.2972 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.5624 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.7348 2023/02/01 07:02:13 - mmengine - INFO - Epoch(train) [82][ 760/1879] lr: 8.9165e-02 eta: 1 day, 22:17:28 time: 0.5129 data_time: 0.0460 memory: 18108 grad_norm: 3.0090 loss: 4.3320 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4836 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 1.8484 2023/02/01 07:02:23 - mmengine - INFO - Epoch(train) [82][ 780/1879] lr: 8.9161e-02 eta: 1 day, 22:17:17 time: 0.4978 data_time: 0.0304 memory: 18108 grad_norm: 3.0746 loss: 4.5729 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 2.5940 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.9790 2023/02/01 07:02:34 - mmengine - INFO - Epoch(train) [82][ 800/1879] lr: 8.9156e-02 eta: 1 day, 22:17:07 time: 0.5189 data_time: 0.0397 memory: 18108 grad_norm: 3.0771 loss: 4.2647 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.3583 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.9064 2023/02/01 07:02:34 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 07:02:44 - mmengine - INFO - Epoch(train) [82][ 820/1879] lr: 8.9151e-02 eta: 1 day, 22:16:57 time: 0.5066 data_time: 0.0372 memory: 18108 grad_norm: 3.0457 loss: 4.4590 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6618 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7972 2023/02/01 07:02:54 - mmengine - INFO - Epoch(train) [82][ 840/1879] lr: 8.9147e-02 eta: 1 day, 22:16:46 time: 0.4930 data_time: 0.0367 memory: 18108 grad_norm: 2.9932 loss: 4.3261 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3970 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.9292 2023/02/01 07:03:04 - mmengine - INFO - Epoch(train) [82][ 860/1879] lr: 8.9142e-02 eta: 1 day, 22:16:36 time: 0.5018 data_time: 0.0304 memory: 18108 grad_norm: 3.1049 loss: 4.6820 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7534 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.9286 2023/02/01 07:03:14 - mmengine - INFO - Epoch(train) [82][ 880/1879] lr: 8.9137e-02 eta: 1 day, 22:16:26 time: 0.5097 data_time: 0.0398 memory: 18108 grad_norm: 3.0534 loss: 4.5568 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7164 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.8403 2023/02/01 07:03:24 - mmengine - INFO - Epoch(train) [82][ 900/1879] lr: 8.9133e-02 eta: 1 day, 22:16:16 time: 0.5024 data_time: 0.0323 memory: 18108 grad_norm: 3.0625 loss: 4.5836 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7034 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.8802 2023/02/01 07:03:34 - mmengine - INFO - Epoch(train) [82][ 920/1879] lr: 8.9128e-02 eta: 1 day, 22:16:05 time: 0.5024 data_time: 0.0357 memory: 18108 grad_norm: 3.0208 loss: 4.5315 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.6552 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.8763 2023/02/01 07:03:44 - mmengine - INFO - Epoch(train) [82][ 940/1879] lr: 8.9123e-02 eta: 1 day, 22:15:55 time: 0.5132 data_time: 0.0387 memory: 18108 grad_norm: 3.0149 loss: 4.5443 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6803 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 1.8640 2023/02/01 07:03:54 - mmengine - INFO - Epoch(train) [82][ 960/1879] lr: 8.9118e-02 eta: 1 day, 22:15:44 time: 0.4883 data_time: 0.0362 memory: 18108 grad_norm: 3.0444 loss: 4.7908 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8944 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.8964 2023/02/01 07:04:04 - mmengine - INFO - Epoch(train) [82][ 980/1879] lr: 8.9114e-02 eta: 1 day, 22:15:34 time: 0.5071 data_time: 0.0312 memory: 18108 grad_norm: 3.0772 loss: 4.5129 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6511 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8618 2023/02/01 07:04:14 - mmengine - INFO - Epoch(train) [82][1000/1879] lr: 8.9109e-02 eta: 1 day, 22:15:24 time: 0.5128 data_time: 0.0366 memory: 18108 grad_norm: 3.0097 loss: 4.3532 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4289 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.9243 2023/02/01 07:04:24 - mmengine - INFO - Epoch(train) [82][1020/1879] lr: 8.9104e-02 eta: 1 day, 22:15:13 time: 0.4952 data_time: 0.0367 memory: 18108 grad_norm: 2.9678 loss: 4.4583 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.6239 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8343 2023/02/01 07:04:34 - mmengine - INFO - Epoch(train) [82][1040/1879] lr: 8.9100e-02 eta: 1 day, 22:15:03 time: 0.4963 data_time: 0.0371 memory: 18108 grad_norm: 3.0538 loss: 4.6781 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6920 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.9861 2023/02/01 07:04:44 - mmengine - INFO - Epoch(train) [82][1060/1879] lr: 8.9095e-02 eta: 1 day, 22:14:53 time: 0.5085 data_time: 0.0323 memory: 18108 grad_norm: 3.0667 loss: 4.5050 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6636 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.8414 2023/02/01 07:04:54 - mmengine - INFO - Epoch(train) [82][1080/1879] lr: 8.9090e-02 eta: 1 day, 22:14:42 time: 0.4923 data_time: 0.0433 memory: 18108 grad_norm: 3.0229 loss: 4.4644 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6161 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8483 2023/02/01 07:05:04 - mmengine - INFO - Epoch(train) [82][1100/1879] lr: 8.9086e-02 eta: 1 day, 22:14:31 time: 0.4932 data_time: 0.0346 memory: 18108 grad_norm: 3.0540 loss: 4.4056 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5738 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.8317 2023/02/01 07:05:14 - mmengine - INFO - Epoch(train) [82][1120/1879] lr: 8.9081e-02 eta: 1 day, 22:14:20 time: 0.4958 data_time: 0.0384 memory: 18108 grad_norm: 2.9788 loss: 4.3949 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4267 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.9682 2023/02/01 07:05:24 - mmengine - INFO - Epoch(train) [82][1140/1879] lr: 8.9076e-02 eta: 1 day, 22:14:10 time: 0.5170 data_time: 0.0376 memory: 18108 grad_norm: 3.0020 loss: 4.2491 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3661 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.8831 2023/02/01 07:05:34 - mmengine - INFO - Epoch(train) [82][1160/1879] lr: 8.9072e-02 eta: 1 day, 22:14:00 time: 0.4909 data_time: 0.0381 memory: 18108 grad_norm: 3.0030 loss: 4.5773 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7466 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.8307 2023/02/01 07:05:44 - mmengine - INFO - Epoch(train) [82][1180/1879] lr: 8.9067e-02 eta: 1 day, 22:13:49 time: 0.4947 data_time: 0.0327 memory: 18108 grad_norm: 3.0496 loss: 4.5591 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6326 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.9265 2023/02/01 07:05:54 - mmengine - INFO - Epoch(train) [82][1200/1879] lr: 8.9062e-02 eta: 1 day, 22:13:39 time: 0.5114 data_time: 0.0412 memory: 18108 grad_norm: 3.0290 loss: 4.5415 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6957 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.8457 2023/02/01 07:06:04 - mmengine - INFO - Epoch(train) [82][1220/1879] lr: 8.9057e-02 eta: 1 day, 22:13:28 time: 0.4956 data_time: 0.0333 memory: 18108 grad_norm: 3.1088 loss: 4.2848 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.4375 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.8474 2023/02/01 07:06:14 - mmengine - INFO - Epoch(train) [82][1240/1879] lr: 8.9053e-02 eta: 1 day, 22:13:17 time: 0.4891 data_time: 0.0348 memory: 18108 grad_norm: 3.0210 loss: 4.7969 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7676 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 2.0293 2023/02/01 07:06:24 - mmengine - INFO - Epoch(train) [82][1260/1879] lr: 8.9048e-02 eta: 1 day, 22:13:07 time: 0.5030 data_time: 0.0312 memory: 18108 grad_norm: 3.0785 loss: 4.6467 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7382 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.9085 2023/02/01 07:06:34 - mmengine - INFO - Epoch(train) [82][1280/1879] lr: 8.9043e-02 eta: 1 day, 22:12:56 time: 0.5030 data_time: 0.0376 memory: 18108 grad_norm: 3.0242 loss: 4.4413 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5381 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9032 2023/02/01 07:06:44 - mmengine - INFO - Epoch(train) [82][1300/1879] lr: 8.9039e-02 eta: 1 day, 22:12:46 time: 0.4954 data_time: 0.0336 memory: 18108 grad_norm: 3.0023 loss: 4.8389 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.9532 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8857 2023/02/01 07:06:54 - mmengine - INFO - Epoch(train) [82][1320/1879] lr: 8.9034e-02 eta: 1 day, 22:12:35 time: 0.4948 data_time: 0.0372 memory: 18108 grad_norm: 3.0116 loss: 4.5852 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6703 top1_acc_1: 0.6000 top5_acc_1: 0.7412 loss_cls_1: 1.9149 2023/02/01 07:07:04 - mmengine - INFO - Epoch(train) [82][1340/1879] lr: 8.9029e-02 eta: 1 day, 22:12:25 time: 0.5029 data_time: 0.0409 memory: 18108 grad_norm: 2.9954 loss: 4.1955 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3130 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.8826 2023/02/01 07:07:14 - mmengine - INFO - Epoch(train) [82][1360/1879] lr: 8.9025e-02 eta: 1 day, 22:12:14 time: 0.5064 data_time: 0.0360 memory: 18108 grad_norm: 3.0336 loss: 4.5238 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6952 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8286 2023/02/01 07:07:24 - mmengine - INFO - Epoch(train) [82][1380/1879] lr: 8.9020e-02 eta: 1 day, 22:12:04 time: 0.5022 data_time: 0.0313 memory: 18108 grad_norm: 3.0235 loss: 4.4729 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6239 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.8489 2023/02/01 07:07:34 - mmengine - INFO - Epoch(train) [82][1400/1879] lr: 8.9015e-02 eta: 1 day, 22:11:53 time: 0.4911 data_time: 0.0406 memory: 18108 grad_norm: 3.0153 loss: 4.5343 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6155 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9188 2023/02/01 07:07:44 - mmengine - INFO - Epoch(train) [82][1420/1879] lr: 8.9010e-02 eta: 1 day, 22:11:43 time: 0.5076 data_time: 0.0323 memory: 18108 grad_norm: 3.0335 loss: 4.3974 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.5490 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 1.8484 2023/02/01 07:07:54 - mmengine - INFO - Epoch(train) [82][1440/1879] lr: 8.9006e-02 eta: 1 day, 22:11:33 time: 0.5003 data_time: 0.0368 memory: 18108 grad_norm: 3.0326 loss: 4.4386 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6059 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.8326 2023/02/01 07:08:04 - mmengine - INFO - Epoch(train) [82][1460/1879] lr: 8.9001e-02 eta: 1 day, 22:11:22 time: 0.5044 data_time: 0.0319 memory: 18108 grad_norm: 3.0033 loss: 4.4832 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6652 top1_acc_1: 0.6353 top5_acc_1: 0.7529 loss_cls_1: 1.8179 2023/02/01 07:08:14 - mmengine - INFO - Epoch(train) [82][1480/1879] lr: 8.8996e-02 eta: 1 day, 22:11:11 time: 0.4928 data_time: 0.0356 memory: 18108 grad_norm: 3.0778 loss: 4.4994 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5660 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.9334 2023/02/01 07:08:24 - mmengine - INFO - Epoch(train) [82][1500/1879] lr: 8.8992e-02 eta: 1 day, 22:11:01 time: 0.5064 data_time: 0.0325 memory: 18108 grad_norm: 3.0319 loss: 4.6385 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7736 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.8649 2023/02/01 07:08:35 - mmengine - INFO - Epoch(train) [82][1520/1879] lr: 8.8987e-02 eta: 1 day, 22:10:52 time: 0.5241 data_time: 0.0426 memory: 18108 grad_norm: 2.9665 loss: 4.4044 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.4851 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.9194 2023/02/01 07:08:45 - mmengine - INFO - Epoch(train) [82][1540/1879] lr: 8.8982e-02 eta: 1 day, 22:10:41 time: 0.4986 data_time: 0.0317 memory: 18108 grad_norm: 3.0241 loss: 4.4491 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6390 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8101 2023/02/01 07:08:55 - mmengine - INFO - Epoch(train) [82][1560/1879] lr: 8.8977e-02 eta: 1 day, 22:10:31 time: 0.5023 data_time: 0.0361 memory: 18108 grad_norm: 2.9873 loss: 4.4798 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5692 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.9106 2023/02/01 07:09:05 - mmengine - INFO - Epoch(train) [82][1580/1879] lr: 8.8973e-02 eta: 1 day, 22:10:20 time: 0.4988 data_time: 0.0346 memory: 18108 grad_norm: 3.0431 loss: 4.2613 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4548 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.8065 2023/02/01 07:09:15 - mmengine - INFO - Epoch(train) [82][1600/1879] lr: 8.8968e-02 eta: 1 day, 22:10:10 time: 0.5050 data_time: 0.0425 memory: 18108 grad_norm: 3.0265 loss: 4.5777 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.7301 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.8476 2023/02/01 07:09:25 - mmengine - INFO - Epoch(train) [82][1620/1879] lr: 8.8963e-02 eta: 1 day, 22:10:00 time: 0.5079 data_time: 0.0311 memory: 18108 grad_norm: 3.0714 loss: 4.7144 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7294 top1_acc_1: 0.4353 top5_acc_1: 0.6941 loss_cls_1: 1.9850 2023/02/01 07:09:35 - mmengine - INFO - Epoch(train) [82][1640/1879] lr: 8.8958e-02 eta: 1 day, 22:09:49 time: 0.4962 data_time: 0.0365 memory: 18108 grad_norm: 3.0532 loss: 4.5805 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7673 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.8131 2023/02/01 07:09:45 - mmengine - INFO - Epoch(train) [82][1660/1879] lr: 8.8954e-02 eta: 1 day, 22:09:39 time: 0.5149 data_time: 0.0440 memory: 18108 grad_norm: 3.0475 loss: 4.3875 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5474 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.8401 2023/02/01 07:09:55 - mmengine - INFO - Epoch(train) [82][1680/1879] lr: 8.8949e-02 eta: 1 day, 22:09:29 time: 0.4965 data_time: 0.0330 memory: 18108 grad_norm: 3.0140 loss: 4.5794 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6924 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8871 2023/02/01 07:10:06 - mmengine - INFO - Epoch(train) [82][1700/1879] lr: 8.8944e-02 eta: 1 day, 22:09:18 time: 0.5054 data_time: 0.0334 memory: 18108 grad_norm: 2.9515 loss: 4.3354 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6054 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7301 2023/02/01 07:10:16 - mmengine - INFO - Epoch(train) [82][1720/1879] lr: 8.8940e-02 eta: 1 day, 22:09:08 time: 0.4991 data_time: 0.0420 memory: 18108 grad_norm: 3.0693 loss: 4.4054 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5844 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.8210 2023/02/01 07:10:26 - mmengine - INFO - Epoch(train) [82][1740/1879] lr: 8.8935e-02 eta: 1 day, 22:08:58 time: 0.5148 data_time: 0.0314 memory: 18108 grad_norm: 3.0057 loss: 4.5825 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.7171 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.8653 2023/02/01 07:10:36 - mmengine - INFO - Epoch(train) [82][1760/1879] lr: 8.8930e-02 eta: 1 day, 22:08:48 time: 0.5131 data_time: 0.0357 memory: 18108 grad_norm: 3.0226 loss: 4.4906 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5865 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.9041 2023/02/01 07:10:46 - mmengine - INFO - Epoch(train) [82][1780/1879] lr: 8.8925e-02 eta: 1 day, 22:08:38 time: 0.5158 data_time: 0.0317 memory: 18108 grad_norm: 3.0189 loss: 4.4199 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.5258 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.8940 2023/02/01 07:10:56 - mmengine - INFO - Epoch(train) [82][1800/1879] lr: 8.8921e-02 eta: 1 day, 22:08:27 time: 0.4914 data_time: 0.0353 memory: 18108 grad_norm: 3.0596 loss: 4.7028 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7528 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.9500 2023/02/01 07:10:57 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 07:11:07 - mmengine - INFO - Epoch(train) [82][1820/1879] lr: 8.8916e-02 eta: 1 day, 22:08:17 time: 0.5148 data_time: 0.0326 memory: 18108 grad_norm: 3.0324 loss: 4.7018 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.8921 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.8097 2023/02/01 07:11:17 - mmengine - INFO - Epoch(train) [82][1840/1879] lr: 8.8911e-02 eta: 1 day, 22:08:07 time: 0.4991 data_time: 0.0366 memory: 18108 grad_norm: 3.0135 loss: 4.5302 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6994 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8308 2023/02/01 07:11:27 - mmengine - INFO - Epoch(train) [82][1860/1879] lr: 8.8907e-02 eta: 1 day, 22:07:57 time: 0.5115 data_time: 0.0313 memory: 18108 grad_norm: 3.0133 loss: 4.7565 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.9060 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8505 2023/02/01 07:11:36 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 07:11:36 - mmengine - INFO - Epoch(train) [82][1879/1879] lr: 8.8902e-02 eta: 1 day, 22:07:46 time: 0.4802 data_time: 0.0264 memory: 18108 grad_norm: 3.0581 loss: 4.3752 top1_acc_0: 0.4286 top5_acc_0: 0.4286 loss_cls_0: 2.4950 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8802 2023/02/01 07:11:51 - mmengine - INFO - Epoch(train) [83][ 20/1879] lr: 8.8897e-02 eta: 1 day, 22:07:44 time: 0.7119 data_time: 0.2350 memory: 18108 grad_norm: 2.9688 loss: 4.6362 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7731 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.8632 2023/02/01 07:12:00 - mmengine - INFO - Epoch(train) [83][ 40/1879] lr: 8.8893e-02 eta: 1 day, 22:07:32 time: 0.4656 data_time: 0.0316 memory: 18108 grad_norm: 3.0306 loss: 4.2065 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5138 top1_acc_1: 0.5765 top5_acc_1: 0.6941 loss_cls_1: 1.6927 2023/02/01 07:12:10 - mmengine - INFO - Epoch(train) [83][ 60/1879] lr: 8.8888e-02 eta: 1 day, 22:07:21 time: 0.4719 data_time: 0.0370 memory: 18108 grad_norm: 3.0925 loss: 4.3648 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5015 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 1.8633 2023/02/01 07:12:19 - mmengine - INFO - Epoch(train) [83][ 80/1879] lr: 8.8883e-02 eta: 1 day, 22:07:10 time: 0.4965 data_time: 0.0423 memory: 18108 grad_norm: 3.0073 loss: 4.4479 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6409 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8069 2023/02/01 07:12:29 - mmengine - INFO - Epoch(train) [83][ 100/1879] lr: 8.8878e-02 eta: 1 day, 22:06:58 time: 0.4730 data_time: 0.0369 memory: 18108 grad_norm: 3.0359 loss: 4.4640 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.7199 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7442 2023/02/01 07:12:38 - mmengine - INFO - Epoch(train) [83][ 120/1879] lr: 8.8874e-02 eta: 1 day, 22:06:46 time: 0.4634 data_time: 0.0339 memory: 18108 grad_norm: 3.0741 loss: 4.4388 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 2.5815 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.8574 2023/02/01 07:12:48 - mmengine - INFO - Epoch(train) [83][ 140/1879] lr: 8.8869e-02 eta: 1 day, 22:06:35 time: 0.4879 data_time: 0.0441 memory: 18108 grad_norm: 2.9897 loss: 4.3927 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5060 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8867 2023/02/01 07:12:58 - mmengine - INFO - Epoch(train) [83][ 160/1879] lr: 8.8864e-02 eta: 1 day, 22:06:24 time: 0.4851 data_time: 0.0328 memory: 18108 grad_norm: 3.0572 loss: 4.3664 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 2.5271 top1_acc_1: 0.7059 top5_acc_1: 0.7882 loss_cls_1: 1.8393 2023/02/01 07:13:07 - mmengine - INFO - Epoch(train) [83][ 180/1879] lr: 8.8859e-02 eta: 1 day, 22:06:12 time: 0.4690 data_time: 0.0354 memory: 18108 grad_norm: 3.0948 loss: 4.3007 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4977 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8030 2023/02/01 07:13:16 - mmengine - INFO - Epoch(train) [83][ 200/1879] lr: 8.8855e-02 eta: 1 day, 22:06:01 time: 0.4693 data_time: 0.0341 memory: 18108 grad_norm: 2.9717 loss: 4.4006 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5274 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8732 2023/02/01 07:13:27 - mmengine - INFO - Epoch(train) [83][ 220/1879] lr: 8.8850e-02 eta: 1 day, 22:05:50 time: 0.5010 data_time: 0.0421 memory: 18108 grad_norm: 3.0536 loss: 4.3520 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5872 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.7648 2023/02/01 07:13:37 - mmengine - INFO - Epoch(train) [83][ 240/1879] lr: 8.8845e-02 eta: 1 day, 22:05:40 time: 0.5013 data_time: 0.0318 memory: 18108 grad_norm: 3.0595 loss: 4.2278 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4876 top1_acc_1: 0.5765 top5_acc_1: 0.8941 loss_cls_1: 1.7402 2023/02/01 07:13:46 - mmengine - INFO - Epoch(train) [83][ 260/1879] lr: 8.8840e-02 eta: 1 day, 22:05:28 time: 0.4824 data_time: 0.0351 memory: 18108 grad_norm: 3.0711 loss: 4.4761 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6635 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8126 2023/02/01 07:13:56 - mmengine - INFO - Epoch(train) [83][ 280/1879] lr: 8.8836e-02 eta: 1 day, 22:05:17 time: 0.4878 data_time: 0.0333 memory: 18108 grad_norm: 3.0052 loss: 4.3350 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.5563 top1_acc_1: 0.5529 top5_acc_1: 0.7059 loss_cls_1: 1.7787 2023/02/01 07:14:06 - mmengine - INFO - Epoch(train) [83][ 300/1879] lr: 8.8831e-02 eta: 1 day, 22:05:07 time: 0.5035 data_time: 0.0420 memory: 18108 grad_norm: 3.0594 loss: 4.4758 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6599 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.8159 2023/02/01 07:14:16 - mmengine - INFO - Epoch(train) [83][ 320/1879] lr: 8.8826e-02 eta: 1 day, 22:04:56 time: 0.4890 data_time: 0.0341 memory: 18108 grad_norm: 3.0665 loss: 4.4265 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5168 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.9098 2023/02/01 07:14:26 - mmengine - INFO - Epoch(train) [83][ 340/1879] lr: 8.8821e-02 eta: 1 day, 22:04:45 time: 0.4929 data_time: 0.0353 memory: 18108 grad_norm: 3.0046 loss: 4.3620 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5483 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.8137 2023/02/01 07:14:35 - mmengine - INFO - Epoch(train) [83][ 360/1879] lr: 8.8817e-02 eta: 1 day, 22:04:34 time: 0.4877 data_time: 0.0363 memory: 18108 grad_norm: 3.0069 loss: 4.6384 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6513 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.9871 2023/02/01 07:14:45 - mmengine - INFO - Epoch(train) [83][ 380/1879] lr: 8.8812e-02 eta: 1 day, 22:04:23 time: 0.4921 data_time: 0.0420 memory: 18108 grad_norm: 3.0078 loss: 4.5395 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.6521 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8874 2023/02/01 07:14:55 - mmengine - INFO - Epoch(train) [83][ 400/1879] lr: 8.8807e-02 eta: 1 day, 22:04:13 time: 0.4893 data_time: 0.0363 memory: 18108 grad_norm: 3.0856 loss: 4.0815 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2834 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7982 2023/02/01 07:15:05 - mmengine - INFO - Epoch(train) [83][ 420/1879] lr: 8.8802e-02 eta: 1 day, 22:04:01 time: 0.4794 data_time: 0.0357 memory: 18108 grad_norm: 3.0774 loss: 4.4149 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5460 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.8689 2023/02/01 07:15:14 - mmengine - INFO - Epoch(train) [83][ 440/1879] lr: 8.8798e-02 eta: 1 day, 22:03:50 time: 0.4860 data_time: 0.0323 memory: 18108 grad_norm: 3.0366 loss: 4.3601 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4119 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.9482 2023/02/01 07:15:25 - mmengine - INFO - Epoch(train) [83][ 460/1879] lr: 8.8793e-02 eta: 1 day, 22:03:40 time: 0.5153 data_time: 0.0420 memory: 18108 grad_norm: 3.0758 loss: 4.5828 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6899 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8929 2023/02/01 07:15:35 - mmengine - INFO - Epoch(train) [83][ 480/1879] lr: 8.8788e-02 eta: 1 day, 22:03:30 time: 0.5009 data_time: 0.0322 memory: 18108 grad_norm: 3.0375 loss: 4.3486 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5302 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8184 2023/02/01 07:15:45 - mmengine - INFO - Epoch(train) [83][ 500/1879] lr: 8.8783e-02 eta: 1 day, 22:03:19 time: 0.4974 data_time: 0.0360 memory: 18108 grad_norm: 3.0213 loss: 4.5906 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.6316 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.9591 2023/02/01 07:15:55 - mmengine - INFO - Epoch(train) [83][ 520/1879] lr: 8.8779e-02 eta: 1 day, 22:03:09 time: 0.5111 data_time: 0.0319 memory: 18108 grad_norm: 3.0670 loss: 4.3283 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4834 top1_acc_1: 0.4706 top5_acc_1: 0.7059 loss_cls_1: 1.8449 2023/02/01 07:16:05 - mmengine - INFO - Epoch(train) [83][ 540/1879] lr: 8.8774e-02 eta: 1 day, 22:03:00 time: 0.5194 data_time: 0.0355 memory: 18108 grad_norm: 3.0760 loss: 4.5235 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6388 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8847 2023/02/01 07:16:16 - mmengine - INFO - Epoch(train) [83][ 560/1879] lr: 8.8769e-02 eta: 1 day, 22:02:49 time: 0.5056 data_time: 0.0320 memory: 18108 grad_norm: 3.1056 loss: 4.6962 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7971 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.8990 2023/02/01 07:16:26 - mmengine - INFO - Epoch(train) [83][ 580/1879] lr: 8.8764e-02 eta: 1 day, 22:02:39 time: 0.5036 data_time: 0.0335 memory: 18108 grad_norm: 3.0527 loss: 4.7364 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.8298 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9066 2023/02/01 07:16:36 - mmengine - INFO - Epoch(train) [83][ 600/1879] lr: 8.8760e-02 eta: 1 day, 22:02:30 time: 0.5424 data_time: 0.0433 memory: 18108 grad_norm: 3.1448 loss: 4.6158 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7559 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.8599 2023/02/01 07:16:47 - mmengine - INFO - Epoch(train) [83][ 620/1879] lr: 8.8755e-02 eta: 1 day, 22:02:20 time: 0.5151 data_time: 0.0281 memory: 18108 grad_norm: 3.0287 loss: 4.4431 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5388 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.9043 2023/02/01 07:16:57 - mmengine - INFO - Epoch(train) [83][ 640/1879] lr: 8.8750e-02 eta: 1 day, 22:02:11 time: 0.5248 data_time: 0.0361 memory: 18108 grad_norm: 3.0050 loss: 4.6644 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7558 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9086 2023/02/01 07:17:08 - mmengine - INFO - Epoch(train) [83][ 660/1879] lr: 8.8745e-02 eta: 1 day, 22:02:01 time: 0.5116 data_time: 0.0294 memory: 18108 grad_norm: 3.0218 loss: 4.5577 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6842 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8735 2023/02/01 07:17:18 - mmengine - INFO - Epoch(train) [83][ 680/1879] lr: 8.8741e-02 eta: 1 day, 22:01:52 time: 0.5361 data_time: 0.0373 memory: 18108 grad_norm: 3.0174 loss: 4.2694 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.3636 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9058 2023/02/01 07:17:29 - mmengine - INFO - Epoch(train) [83][ 700/1879] lr: 8.8736e-02 eta: 1 day, 22:01:42 time: 0.5167 data_time: 0.0303 memory: 18108 grad_norm: 3.0919 loss: 4.6508 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7315 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 1.9193 2023/02/01 07:17:39 - mmengine - INFO - Epoch(train) [83][ 720/1879] lr: 8.8731e-02 eta: 1 day, 22:01:33 time: 0.5267 data_time: 0.0420 memory: 18108 grad_norm: 3.0455 loss: 4.3801 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6576 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7225 2023/02/01 07:17:49 - mmengine - INFO - Epoch(train) [83][ 740/1879] lr: 8.8726e-02 eta: 1 day, 22:01:23 time: 0.5099 data_time: 0.0298 memory: 18108 grad_norm: 3.0130 loss: 4.6356 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7369 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.8987 2023/02/01 07:18:00 - mmengine - INFO - Epoch(train) [83][ 760/1879] lr: 8.8722e-02 eta: 1 day, 22:01:13 time: 0.5111 data_time: 0.0363 memory: 18108 grad_norm: 3.0527 loss: 4.5954 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.7035 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.8920 2023/02/01 07:18:10 - mmengine - INFO - Epoch(train) [83][ 780/1879] lr: 8.8717e-02 eta: 1 day, 22:01:03 time: 0.5111 data_time: 0.0301 memory: 18108 grad_norm: 3.0373 loss: 4.4549 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5860 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8689 2023/02/01 07:18:20 - mmengine - INFO - Epoch(train) [83][ 800/1879] lr: 8.8712e-02 eta: 1 day, 22:00:53 time: 0.5239 data_time: 0.0364 memory: 18108 grad_norm: 3.0771 loss: 4.5611 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6602 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.9010 2023/02/01 07:18:30 - mmengine - INFO - Epoch(train) [83][ 820/1879] lr: 8.8707e-02 eta: 1 day, 22:00:43 time: 0.5047 data_time: 0.0283 memory: 18108 grad_norm: 2.9949 loss: 4.2889 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4915 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.7974 2023/02/01 07:18:41 - mmengine - INFO - Epoch(train) [83][ 840/1879] lr: 8.8703e-02 eta: 1 day, 22:00:33 time: 0.5158 data_time: 0.0376 memory: 18108 grad_norm: 3.0171 loss: 4.2409 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3922 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8487 2023/02/01 07:18:51 - mmengine - INFO - Epoch(train) [83][ 860/1879] lr: 8.8698e-02 eta: 1 day, 22:00:24 time: 0.5245 data_time: 0.0298 memory: 18108 grad_norm: 3.0831 loss: 4.3591 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5410 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.8181 2023/02/01 07:19:02 - mmengine - INFO - Epoch(train) [83][ 880/1879] lr: 8.8693e-02 eta: 1 day, 22:00:15 time: 0.5424 data_time: 0.0383 memory: 18108 grad_norm: 3.0455 loss: 4.3290 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4944 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.8346 2023/02/01 07:19:12 - mmengine - INFO - Epoch(train) [83][ 900/1879] lr: 8.8688e-02 eta: 1 day, 22:00:04 time: 0.5003 data_time: 0.0296 memory: 18108 grad_norm: 3.0353 loss: 4.1304 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2799 top1_acc_1: 0.5647 top5_acc_1: 0.8706 loss_cls_1: 1.8505 2023/02/01 07:19:23 - mmengine - INFO - Epoch(train) [83][ 920/1879] lr: 8.8683e-02 eta: 1 day, 21:59:56 time: 0.5439 data_time: 0.0376 memory: 18108 grad_norm: 3.0517 loss: 4.4380 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4619 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.9761 2023/02/01 07:19:24 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 07:19:34 - mmengine - INFO - Epoch(train) [83][ 940/1879] lr: 8.8679e-02 eta: 1 day, 21:59:46 time: 0.5257 data_time: 0.0288 memory: 18108 grad_norm: 3.0526 loss: 4.5656 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5558 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 2.0098 2023/02/01 07:19:44 - mmengine - INFO - Epoch(train) [83][ 960/1879] lr: 8.8674e-02 eta: 1 day, 21:59:37 time: 0.5150 data_time: 0.0369 memory: 18108 grad_norm: 3.1954 loss: 4.7289 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.8927 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.8362 2023/02/01 07:19:54 - mmengine - INFO - Epoch(train) [83][ 980/1879] lr: 8.8669e-02 eta: 1 day, 21:59:27 time: 0.5134 data_time: 0.0332 memory: 18108 grad_norm: 3.0847 loss: 4.4602 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.5219 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.9384 2023/02/01 07:20:05 - mmengine - INFO - Epoch(train) [83][1000/1879] lr: 8.8664e-02 eta: 1 day, 21:59:18 time: 0.5355 data_time: 0.0336 memory: 18108 grad_norm: 3.1261 loss: 4.3341 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5610 top1_acc_1: 0.6118 top5_acc_1: 0.8941 loss_cls_1: 1.7730 2023/02/01 07:20:15 - mmengine - INFO - Epoch(train) [83][1020/1879] lr: 8.8660e-02 eta: 1 day, 21:59:08 time: 0.5146 data_time: 0.0302 memory: 18108 grad_norm: 3.0535 loss: 4.4365 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5030 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.9335 2023/02/01 07:20:26 - mmengine - INFO - Epoch(train) [83][1040/1879] lr: 8.8655e-02 eta: 1 day, 21:58:58 time: 0.5239 data_time: 0.0414 memory: 18108 grad_norm: 3.0510 loss: 4.4240 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5469 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8770 2023/02/01 07:20:36 - mmengine - INFO - Epoch(train) [83][1060/1879] lr: 8.8650e-02 eta: 1 day, 21:58:48 time: 0.5134 data_time: 0.0322 memory: 18108 grad_norm: 3.0471 loss: 4.6858 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7927 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.8931 2023/02/01 07:20:47 - mmengine - INFO - Epoch(train) [83][1080/1879] lr: 8.8645e-02 eta: 1 day, 21:58:39 time: 0.5302 data_time: 0.0386 memory: 18108 grad_norm: 3.0456 loss: 4.4439 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6516 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.7923 2023/02/01 07:20:57 - mmengine - INFO - Epoch(train) [83][1100/1879] lr: 8.8640e-02 eta: 1 day, 21:58:29 time: 0.5049 data_time: 0.0318 memory: 18108 grad_norm: 3.0869 loss: 4.3830 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5915 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7914 2023/02/01 07:21:07 - mmengine - INFO - Epoch(train) [83][1120/1879] lr: 8.8636e-02 eta: 1 day, 21:58:20 time: 0.5394 data_time: 0.0423 memory: 18108 grad_norm: 3.0321 loss: 4.5392 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7073 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.8319 2023/02/01 07:21:18 - mmengine - INFO - Epoch(train) [83][1140/1879] lr: 8.8631e-02 eta: 1 day, 21:58:10 time: 0.5151 data_time: 0.0305 memory: 18108 grad_norm: 3.0235 loss: 4.2404 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3734 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.8669 2023/02/01 07:21:28 - mmengine - INFO - Epoch(train) [83][1160/1879] lr: 8.8626e-02 eta: 1 day, 21:58:00 time: 0.5115 data_time: 0.0336 memory: 18108 grad_norm: 3.0778 loss: 4.3097 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.4362 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.8735 2023/02/01 07:21:38 - mmengine - INFO - Epoch(train) [83][1180/1879] lr: 8.8621e-02 eta: 1 day, 21:57:50 time: 0.5091 data_time: 0.0355 memory: 18108 grad_norm: 3.0852 loss: 4.4197 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5867 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.8330 2023/02/01 07:21:49 - mmengine - INFO - Epoch(train) [83][1200/1879] lr: 8.8617e-02 eta: 1 day, 21:57:40 time: 0.5244 data_time: 0.0385 memory: 18108 grad_norm: 3.0895 loss: 4.4953 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6120 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.8833 2023/02/01 07:21:59 - mmengine - INFO - Epoch(train) [83][1220/1879] lr: 8.8612e-02 eta: 1 day, 21:57:30 time: 0.5047 data_time: 0.0304 memory: 18108 grad_norm: 2.9976 loss: 4.5542 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5811 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.9731 2023/02/01 07:22:09 - mmengine - INFO - Epoch(train) [83][1240/1879] lr: 8.8607e-02 eta: 1 day, 21:57:20 time: 0.5153 data_time: 0.0367 memory: 18108 grad_norm: 3.0800 loss: 4.4877 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5744 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9133 2023/02/01 07:22:20 - mmengine - INFO - Epoch(train) [83][1260/1879] lr: 8.8602e-02 eta: 1 day, 21:57:11 time: 0.5289 data_time: 0.0334 memory: 18108 grad_norm: 3.0151 loss: 4.5059 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5831 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.9228 2023/02/01 07:22:30 - mmengine - INFO - Epoch(train) [83][1280/1879] lr: 8.8597e-02 eta: 1 day, 21:57:01 time: 0.5193 data_time: 0.0347 memory: 18108 grad_norm: 3.0401 loss: 4.5534 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6846 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8688 2023/02/01 07:22:41 - mmengine - INFO - Epoch(train) [83][1300/1879] lr: 8.8593e-02 eta: 1 day, 21:56:52 time: 0.5200 data_time: 0.0312 memory: 18108 grad_norm: 3.0412 loss: 4.4095 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4813 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9282 2023/02/01 07:22:51 - mmengine - INFO - Epoch(train) [83][1320/1879] lr: 8.8588e-02 eta: 1 day, 21:56:43 time: 0.5359 data_time: 0.0423 memory: 18108 grad_norm: 3.0540 loss: 4.6279 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7080 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.9200 2023/02/01 07:23:02 - mmengine - INFO - Epoch(train) [83][1340/1879] lr: 8.8583e-02 eta: 1 day, 21:56:33 time: 0.5237 data_time: 0.0302 memory: 18108 grad_norm: 3.0717 loss: 4.4249 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5493 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8756 2023/02/01 07:23:12 - mmengine - INFO - Epoch(train) [83][1360/1879] lr: 8.8578e-02 eta: 1 day, 21:56:24 time: 0.5222 data_time: 0.0349 memory: 18108 grad_norm: 3.0520 loss: 4.5430 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.5844 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.9586 2023/02/01 07:23:23 - mmengine - INFO - Epoch(train) [83][1380/1879] lr: 8.8573e-02 eta: 1 day, 21:56:14 time: 0.5237 data_time: 0.0382 memory: 18108 grad_norm: 3.0123 loss: 4.4844 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6875 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.7968 2023/02/01 07:23:33 - mmengine - INFO - Epoch(train) [83][1400/1879] lr: 8.8569e-02 eta: 1 day, 21:56:05 time: 0.5216 data_time: 0.0349 memory: 18108 grad_norm: 2.9790 loss: 4.2760 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.4612 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8148 2023/02/01 07:23:44 - mmengine - INFO - Epoch(train) [83][1420/1879] lr: 8.8564e-02 eta: 1 day, 21:55:55 time: 0.5220 data_time: 0.0313 memory: 18108 grad_norm: 3.0478 loss: 4.4458 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7055 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7402 2023/02/01 07:23:54 - mmengine - INFO - Epoch(train) [83][1440/1879] lr: 8.8559e-02 eta: 1 day, 21:55:45 time: 0.5166 data_time: 0.0341 memory: 18108 grad_norm: 3.0261 loss: 4.4791 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5687 top1_acc_1: 0.5647 top5_acc_1: 0.7176 loss_cls_1: 1.9103 2023/02/01 07:24:04 - mmengine - INFO - Epoch(train) [83][1460/1879] lr: 8.8554e-02 eta: 1 day, 21:55:36 time: 0.5245 data_time: 0.0370 memory: 18108 grad_norm: 2.9879 loss: 4.6114 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6810 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.9304 2023/02/01 07:24:15 - mmengine - INFO - Epoch(train) [83][1480/1879] lr: 8.8550e-02 eta: 1 day, 21:55:26 time: 0.5285 data_time: 0.0298 memory: 18108 grad_norm: 3.0484 loss: 4.3174 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.4039 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 1.9135 2023/02/01 07:24:25 - mmengine - INFO - Epoch(train) [83][1500/1879] lr: 8.8545e-02 eta: 1 day, 21:55:17 time: 0.5147 data_time: 0.0367 memory: 18108 grad_norm: 3.0791 loss: 4.6112 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7292 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.8820 2023/02/01 07:24:36 - mmengine - INFO - Epoch(train) [83][1520/1879] lr: 8.8540e-02 eta: 1 day, 21:55:07 time: 0.5275 data_time: 0.0340 memory: 18108 grad_norm: 3.0291 loss: 4.2087 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3331 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.8756 2023/02/01 07:24:46 - mmengine - INFO - Epoch(train) [83][1540/1879] lr: 8.8535e-02 eta: 1 day, 21:54:58 time: 0.5229 data_time: 0.0361 memory: 18108 grad_norm: 3.0656 loss: 4.3918 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5883 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8034 2023/02/01 07:24:57 - mmengine - INFO - Epoch(train) [83][1560/1879] lr: 8.8530e-02 eta: 1 day, 21:54:48 time: 0.5252 data_time: 0.0374 memory: 18108 grad_norm: 3.0313 loss: 4.5354 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.6227 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9127 2023/02/01 07:25:07 - mmengine - INFO - Epoch(train) [83][1580/1879] lr: 8.8526e-02 eta: 1 day, 21:54:39 time: 0.5208 data_time: 0.0364 memory: 18108 grad_norm: 3.0705 loss: 4.3712 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4940 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8772 2023/02/01 07:25:18 - mmengine - INFO - Epoch(train) [83][1600/1879] lr: 8.8521e-02 eta: 1 day, 21:54:29 time: 0.5167 data_time: 0.0300 memory: 18108 grad_norm: 3.0531 loss: 4.4759 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.5896 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8863 2023/02/01 07:25:28 - mmengine - INFO - Epoch(train) [83][1620/1879] lr: 8.8516e-02 eta: 1 day, 21:54:19 time: 0.5142 data_time: 0.0358 memory: 18108 grad_norm: 3.0063 loss: 4.6417 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7671 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.8746 2023/02/01 07:25:38 - mmengine - INFO - Epoch(train) [83][1640/1879] lr: 8.8511e-02 eta: 1 day, 21:54:09 time: 0.5153 data_time: 0.0310 memory: 18108 grad_norm: 3.0147 loss: 4.3914 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4606 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9308 2023/02/01 07:25:49 - mmengine - INFO - Epoch(train) [83][1660/1879] lr: 8.8506e-02 eta: 1 day, 21:54:00 time: 0.5380 data_time: 0.0419 memory: 18108 grad_norm: 3.0540 loss: 4.4217 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5288 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.8929 2023/02/01 07:26:00 - mmengine - INFO - Epoch(train) [83][1680/1879] lr: 8.8501e-02 eta: 1 day, 21:53:51 time: 0.5338 data_time: 0.0276 memory: 18108 grad_norm: 3.0919 loss: 4.5689 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5858 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.9832 2023/02/01 07:26:10 - mmengine - INFO - Epoch(train) [83][1700/1879] lr: 8.8497e-02 eta: 1 day, 21:53:42 time: 0.5309 data_time: 0.0386 memory: 18108 grad_norm: 3.0237 loss: 4.6160 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7567 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.8593 2023/02/01 07:26:21 - mmengine - INFO - Epoch(train) [83][1720/1879] lr: 8.8492e-02 eta: 1 day, 21:53:33 time: 0.5299 data_time: 0.0287 memory: 18108 grad_norm: 2.9904 loss: 4.5256 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5660 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.9596 2023/02/01 07:26:32 - mmengine - INFO - Epoch(train) [83][1740/1879] lr: 8.8487e-02 eta: 1 day, 21:53:24 time: 0.5497 data_time: 0.0373 memory: 18108 grad_norm: 2.9492 loss: 4.4770 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5968 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8801 2023/02/01 07:26:42 - mmengine - INFO - Epoch(train) [83][1760/1879] lr: 8.8482e-02 eta: 1 day, 21:53:14 time: 0.5174 data_time: 0.0317 memory: 18108 grad_norm: 3.0222 loss: 4.4860 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.6784 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.8076 2023/02/01 07:26:53 - mmengine - INFO - Epoch(train) [83][1780/1879] lr: 8.8477e-02 eta: 1 day, 21:53:05 time: 0.5296 data_time: 0.0496 memory: 18108 grad_norm: 3.0023 loss: 4.5858 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6559 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 1.9299 2023/02/01 07:27:04 - mmengine - INFO - Epoch(train) [83][1800/1879] lr: 8.8473e-02 eta: 1 day, 21:52:56 time: 0.5372 data_time: 0.0276 memory: 18108 grad_norm: 3.0512 loss: 4.4788 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5945 top1_acc_1: 0.5882 top5_acc_1: 0.7294 loss_cls_1: 1.8843 2023/02/01 07:27:14 - mmengine - INFO - Epoch(train) [83][1820/1879] lr: 8.8468e-02 eta: 1 day, 21:52:46 time: 0.5133 data_time: 0.0372 memory: 18108 grad_norm: 3.0516 loss: 4.6715 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7347 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 1.9368 2023/02/01 07:27:24 - mmengine - INFO - Epoch(train) [83][1840/1879] lr: 8.8463e-02 eta: 1 day, 21:52:37 time: 0.5215 data_time: 0.0283 memory: 18108 grad_norm: 3.0191 loss: 4.4102 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4485 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.9617 2023/02/01 07:27:35 - mmengine - INFO - Epoch(train) [83][1860/1879] lr: 8.8458e-02 eta: 1 day, 21:52:27 time: 0.5220 data_time: 0.0380 memory: 18108 grad_norm: 3.0866 loss: 4.5300 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5875 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9425 2023/02/01 07:27:44 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 07:27:44 - mmengine - INFO - Epoch(train) [83][1879/1879] lr: 8.8454e-02 eta: 1 day, 21:52:17 time: 0.5013 data_time: 0.0322 memory: 18108 grad_norm: 3.1487 loss: 4.3787 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 2.4896 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8891 2023/02/01 07:27:59 - mmengine - INFO - Epoch(train) [84][ 20/1879] lr: 8.8449e-02 eta: 1 day, 21:52:15 time: 0.7052 data_time: 0.2465 memory: 18108 grad_norm: 2.9968 loss: 4.4806 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6537 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 1.8270 2023/02/01 07:28:08 - mmengine - INFO - Epoch(train) [84][ 40/1879] lr: 8.8444e-02 eta: 1 day, 21:52:03 time: 0.4686 data_time: 0.0346 memory: 18108 grad_norm: 3.0450 loss: 4.6340 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7187 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9153 2023/02/01 07:28:10 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 07:28:18 - mmengine - INFO - Epoch(train) [84][ 60/1879] lr: 8.8439e-02 eta: 1 day, 21:51:52 time: 0.4766 data_time: 0.0363 memory: 18108 grad_norm: 3.0296 loss: 4.4312 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5898 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.8414 2023/02/01 07:28:28 - mmengine - INFO - Epoch(train) [84][ 80/1879] lr: 8.8434e-02 eta: 1 day, 21:51:42 time: 0.5064 data_time: 0.0438 memory: 18108 grad_norm: 3.0459 loss: 4.2610 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.4043 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.8567 2023/02/01 07:28:38 - mmengine - INFO - Epoch(train) [84][ 100/1879] lr: 8.8430e-02 eta: 1 day, 21:51:30 time: 0.4722 data_time: 0.0354 memory: 18108 grad_norm: 3.0448 loss: 4.3937 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 2.5764 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.8172 2023/02/01 07:28:47 - mmengine - INFO - Epoch(train) [84][ 120/1879] lr: 8.8425e-02 eta: 1 day, 21:51:18 time: 0.4620 data_time: 0.0341 memory: 18108 grad_norm: 3.0509 loss: 4.5815 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7265 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.8550 2023/02/01 07:28:56 - mmengine - INFO - Epoch(train) [84][ 140/1879] lr: 8.8420e-02 eta: 1 day, 21:51:07 time: 0.4778 data_time: 0.0355 memory: 18108 grad_norm: 3.0156 loss: 4.3978 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5940 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8038 2023/02/01 07:29:06 - mmengine - INFO - Epoch(train) [84][ 160/1879] lr: 8.8415e-02 eta: 1 day, 21:50:56 time: 0.4930 data_time: 0.0421 memory: 18108 grad_norm: 3.0732 loss: 4.2762 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4111 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 1.8652 2023/02/01 07:29:16 - mmengine - INFO - Epoch(train) [84][ 180/1879] lr: 8.8410e-02 eta: 1 day, 21:50:44 time: 0.4733 data_time: 0.0354 memory: 18108 grad_norm: 3.0533 loss: 4.1979 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.3771 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.8208 2023/02/01 07:29:25 - mmengine - INFO - Epoch(train) [84][ 200/1879] lr: 8.8405e-02 eta: 1 day, 21:50:32 time: 0.4669 data_time: 0.0341 memory: 18108 grad_norm: 3.0717 loss: 4.4487 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5413 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.9074 2023/02/01 07:29:35 - mmengine - INFO - Epoch(train) [84][ 220/1879] lr: 8.8401e-02 eta: 1 day, 21:50:22 time: 0.4975 data_time: 0.0359 memory: 18108 grad_norm: 3.0513 loss: 4.7023 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7983 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9040 2023/02/01 07:29:45 - mmengine - INFO - Epoch(train) [84][ 240/1879] lr: 8.8396e-02 eta: 1 day, 21:50:11 time: 0.4913 data_time: 0.0419 memory: 18108 grad_norm: 3.0029 loss: 4.6016 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6804 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9212 2023/02/01 07:29:55 - mmengine - INFO - Epoch(train) [84][ 260/1879] lr: 8.8391e-02 eta: 1 day, 21:50:00 time: 0.4832 data_time: 0.0350 memory: 18108 grad_norm: 3.1219 loss: 4.2958 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.4154 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.8804 2023/02/01 07:30:05 - mmengine - INFO - Epoch(train) [84][ 280/1879] lr: 8.8386e-02 eta: 1 day, 21:49:49 time: 0.4953 data_time: 0.0356 memory: 18108 grad_norm: 3.0252 loss: 4.8285 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 3.0204 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8081 2023/02/01 07:30:15 - mmengine - INFO - Epoch(train) [84][ 300/1879] lr: 8.8381e-02 eta: 1 day, 21:49:39 time: 0.5085 data_time: 0.0348 memory: 18108 grad_norm: 3.0690 loss: 4.4579 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6821 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.7758 2023/02/01 07:30:25 - mmengine - INFO - Epoch(train) [84][ 320/1879] lr: 8.8377e-02 eta: 1 day, 21:49:28 time: 0.4993 data_time: 0.0409 memory: 18108 grad_norm: 3.0609 loss: 4.4727 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.6273 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.8454 2023/02/01 07:30:35 - mmengine - INFO - Epoch(train) [84][ 340/1879] lr: 8.8372e-02 eta: 1 day, 21:49:18 time: 0.4992 data_time: 0.0359 memory: 18108 grad_norm: 3.0496 loss: 4.3615 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4816 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8800 2023/02/01 07:30:45 - mmengine - INFO - Epoch(train) [84][ 360/1879] lr: 8.8367e-02 eta: 1 day, 21:49:07 time: 0.5046 data_time: 0.0342 memory: 18108 grad_norm: 3.0296 loss: 4.4764 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5668 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9096 2023/02/01 07:30:55 - mmengine - INFO - Epoch(train) [84][ 380/1879] lr: 8.8362e-02 eta: 1 day, 21:48:58 time: 0.5182 data_time: 0.0359 memory: 18108 grad_norm: 3.0802 loss: 4.4999 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7371 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.7628 2023/02/01 07:31:05 - mmengine - INFO - Epoch(train) [84][ 400/1879] lr: 8.8357e-02 eta: 1 day, 21:48:47 time: 0.4960 data_time: 0.0341 memory: 18108 grad_norm: 3.0669 loss: 4.3790 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5531 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.8260 2023/02/01 07:31:15 - mmengine - INFO - Epoch(train) [84][ 420/1879] lr: 8.8352e-02 eta: 1 day, 21:48:37 time: 0.5052 data_time: 0.0349 memory: 18108 grad_norm: 3.0375 loss: 4.4934 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.6451 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8483 2023/02/01 07:31:25 - mmengine - INFO - Epoch(train) [84][ 440/1879] lr: 8.8348e-02 eta: 1 day, 21:48:26 time: 0.4943 data_time: 0.0319 memory: 18108 grad_norm: 3.0833 loss: 4.3884 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.5366 top1_acc_1: 0.4588 top5_acc_1: 0.7882 loss_cls_1: 1.8518 2023/02/01 07:31:36 - mmengine - INFO - Epoch(train) [84][ 460/1879] lr: 8.8343e-02 eta: 1 day, 21:48:16 time: 0.5188 data_time: 0.0411 memory: 18108 grad_norm: 3.0699 loss: 4.7037 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8247 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8790 2023/02/01 07:31:46 - mmengine - INFO - Epoch(train) [84][ 480/1879] lr: 8.8338e-02 eta: 1 day, 21:48:06 time: 0.5048 data_time: 0.0329 memory: 18108 grad_norm: 3.0422 loss: 4.5291 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7386 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7905 2023/02/01 07:31:56 - mmengine - INFO - Epoch(train) [84][ 500/1879] lr: 8.8333e-02 eta: 1 day, 21:47:56 time: 0.5049 data_time: 0.0350 memory: 18108 grad_norm: 3.0666 loss: 4.3614 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6134 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.7479 2023/02/01 07:32:06 - mmengine - INFO - Epoch(train) [84][ 520/1879] lr: 8.8328e-02 eta: 1 day, 21:47:45 time: 0.5019 data_time: 0.0352 memory: 18108 grad_norm: 3.0400 loss: 4.3937 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5674 top1_acc_1: 0.5647 top5_acc_1: 0.8941 loss_cls_1: 1.8263 2023/02/01 07:32:16 - mmengine - INFO - Epoch(train) [84][ 540/1879] lr: 8.8323e-02 eta: 1 day, 21:47:35 time: 0.5102 data_time: 0.0438 memory: 18108 grad_norm: 3.0587 loss: 4.6020 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6733 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9287 2023/02/01 07:32:26 - mmengine - INFO - Epoch(train) [84][ 560/1879] lr: 8.8319e-02 eta: 1 day, 21:47:25 time: 0.5065 data_time: 0.0335 memory: 18108 grad_norm: 3.0677 loss: 4.4697 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6276 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.8421 2023/02/01 07:32:36 - mmengine - INFO - Epoch(train) [84][ 580/1879] lr: 8.8314e-02 eta: 1 day, 21:47:14 time: 0.4968 data_time: 0.0355 memory: 18108 grad_norm: 3.0906 loss: 4.6667 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8300 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.8367 2023/02/01 07:32:46 - mmengine - INFO - Epoch(train) [84][ 600/1879] lr: 8.8309e-02 eta: 1 day, 21:47:04 time: 0.4983 data_time: 0.0331 memory: 18108 grad_norm: 3.0976 loss: 4.3681 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4622 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.9059 2023/02/01 07:32:56 - mmengine - INFO - Epoch(train) [84][ 620/1879] lr: 8.8304e-02 eta: 1 day, 21:46:54 time: 0.5202 data_time: 0.0365 memory: 18108 grad_norm: 3.0181 loss: 4.2988 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3137 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.9851 2023/02/01 07:33:06 - mmengine - INFO - Epoch(train) [84][ 640/1879] lr: 8.8299e-02 eta: 1 day, 21:46:44 time: 0.4975 data_time: 0.0354 memory: 18108 grad_norm: 3.0832 loss: 4.2796 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5547 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.7249 2023/02/01 07:33:17 - mmengine - INFO - Epoch(train) [84][ 660/1879] lr: 8.8294e-02 eta: 1 day, 21:46:34 time: 0.5178 data_time: 0.0349 memory: 18108 grad_norm: 3.0513 loss: 4.5055 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6001 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9053 2023/02/01 07:33:27 - mmengine - INFO - Epoch(train) [84][ 680/1879] lr: 8.8289e-02 eta: 1 day, 21:46:24 time: 0.5057 data_time: 0.0342 memory: 18108 grad_norm: 3.0694 loss: 4.3963 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5152 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 1.8811 2023/02/01 07:33:37 - mmengine - INFO - Epoch(train) [84][ 700/1879] lr: 8.8285e-02 eta: 1 day, 21:46:14 time: 0.5095 data_time: 0.0408 memory: 18108 grad_norm: 3.0153 loss: 4.3739 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4303 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.9437 2023/02/01 07:33:47 - mmengine - INFO - Epoch(train) [84][ 720/1879] lr: 8.8280e-02 eta: 1 day, 21:46:03 time: 0.4980 data_time: 0.0335 memory: 18108 grad_norm: 3.0679 loss: 4.3838 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4837 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.9001 2023/02/01 07:33:57 - mmengine - INFO - Epoch(train) [84][ 740/1879] lr: 8.8275e-02 eta: 1 day, 21:45:53 time: 0.5027 data_time: 0.0366 memory: 18108 grad_norm: 3.1433 loss: 4.5996 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7368 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8628 2023/02/01 07:34:07 - mmengine - INFO - Epoch(train) [84][ 760/1879] lr: 8.8270e-02 eta: 1 day, 21:45:42 time: 0.5066 data_time: 0.0342 memory: 18108 grad_norm: 3.0309 loss: 4.5657 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6719 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8939 2023/02/01 07:34:17 - mmengine - INFO - Epoch(train) [84][ 780/1879] lr: 8.8265e-02 eta: 1 day, 21:45:32 time: 0.5085 data_time: 0.0339 memory: 18108 grad_norm: 3.0871 loss: 4.6367 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6531 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.9837 2023/02/01 07:34:28 - mmengine - INFO - Epoch(train) [84][ 800/1879] lr: 8.8260e-02 eta: 1 day, 21:45:22 time: 0.5023 data_time: 0.0314 memory: 18108 grad_norm: 3.0201 loss: 4.4765 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6214 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.8552 2023/02/01 07:34:38 - mmengine - INFO - Epoch(train) [84][ 820/1879] lr: 8.8256e-02 eta: 1 day, 21:45:12 time: 0.5074 data_time: 0.0348 memory: 18108 grad_norm: 2.9999 loss: 4.6553 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6323 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 2.0230 2023/02/01 07:34:48 - mmengine - INFO - Epoch(train) [84][ 840/1879] lr: 8.8251e-02 eta: 1 day, 21:45:01 time: 0.4961 data_time: 0.0415 memory: 18108 grad_norm: 3.1208 loss: 4.4619 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5599 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9020 2023/02/01 07:34:58 - mmengine - INFO - Epoch(train) [84][ 860/1879] lr: 8.8246e-02 eta: 1 day, 21:44:51 time: 0.5223 data_time: 0.0353 memory: 18108 grad_norm: 3.0830 loss: 4.3590 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.4307 top1_acc_1: 0.4824 top5_acc_1: 0.7882 loss_cls_1: 1.9283 2023/02/01 07:35:08 - mmengine - INFO - Epoch(train) [84][ 880/1879] lr: 8.8241e-02 eta: 1 day, 21:44:41 time: 0.5008 data_time: 0.0360 memory: 18108 grad_norm: 3.1227 loss: 4.5500 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6362 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 1.9138 2023/02/01 07:35:18 - mmengine - INFO - Epoch(train) [84][ 900/1879] lr: 8.8236e-02 eta: 1 day, 21:44:31 time: 0.5036 data_time: 0.0352 memory: 18108 grad_norm: 3.1428 loss: 4.7015 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.6730 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 2.0285 2023/02/01 07:35:28 - mmengine - INFO - Epoch(train) [84][ 920/1879] lr: 8.8231e-02 eta: 1 day, 21:44:21 time: 0.5113 data_time: 0.0392 memory: 18108 grad_norm: 3.0514 loss: 4.4906 top1_acc_0: 0.2500 top5_acc_0: 0.2500 loss_cls_0: 2.6891 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.8015 2023/02/01 07:35:38 - mmengine - INFO - Epoch(train) [84][ 940/1879] lr: 8.8226e-02 eta: 1 day, 21:44:10 time: 0.4990 data_time: 0.0364 memory: 18108 grad_norm: 3.0358 loss: 4.4265 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.4834 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.9431 2023/02/01 07:35:49 - mmengine - INFO - Epoch(train) [84][ 960/1879] lr: 8.8222e-02 eta: 1 day, 21:44:00 time: 0.5057 data_time: 0.0347 memory: 18108 grad_norm: 3.0595 loss: 4.3320 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.5194 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8126 2023/02/01 07:35:59 - mmengine - INFO - Epoch(train) [84][ 980/1879] lr: 8.8217e-02 eta: 1 day, 21:43:50 time: 0.5101 data_time: 0.0441 memory: 18108 grad_norm: 3.0547 loss: 4.6665 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7411 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.9255 2023/02/01 07:36:09 - mmengine - INFO - Epoch(train) [84][1000/1879] lr: 8.8212e-02 eta: 1 day, 21:43:40 time: 0.5154 data_time: 0.0345 memory: 18108 grad_norm: 3.0261 loss: 4.4313 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5213 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.9100 2023/02/01 07:36:19 - mmengine - INFO - Epoch(train) [84][1020/1879] lr: 8.8207e-02 eta: 1 day, 21:43:29 time: 0.4964 data_time: 0.0353 memory: 18108 grad_norm: 3.0468 loss: 4.3829 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5477 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.8352 2023/02/01 07:36:29 - mmengine - INFO - Epoch(train) [84][1040/1879] lr: 8.8202e-02 eta: 1 day, 21:43:19 time: 0.4984 data_time: 0.0343 memory: 18108 grad_norm: 3.0023 loss: 4.5567 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6753 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8814 2023/02/01 07:36:31 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 07:36:39 - mmengine - INFO - Epoch(train) [84][1060/1879] lr: 8.8197e-02 eta: 1 day, 21:43:09 time: 0.5160 data_time: 0.0426 memory: 18108 grad_norm: 3.0441 loss: 4.3094 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4561 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.8533 2023/02/01 07:36:49 - mmengine - INFO - Epoch(train) [84][1080/1879] lr: 8.8192e-02 eta: 1 day, 21:42:59 time: 0.5027 data_time: 0.0336 memory: 18108 grad_norm: 3.0702 loss: 4.6382 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 2.7308 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 1.9074 2023/02/01 07:36:59 - mmengine - INFO - Epoch(train) [84][1100/1879] lr: 8.8188e-02 eta: 1 day, 21:42:48 time: 0.4955 data_time: 0.0365 memory: 18108 grad_norm: 3.0733 loss: 4.5521 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6772 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.8749 2023/02/01 07:37:09 - mmengine - INFO - Epoch(train) [84][1120/1879] lr: 8.8183e-02 eta: 1 day, 21:42:37 time: 0.5027 data_time: 0.0333 memory: 18108 grad_norm: 3.0226 loss: 4.3058 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3776 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9282 2023/02/01 07:37:20 - mmengine - INFO - Epoch(train) [84][1140/1879] lr: 8.8178e-02 eta: 1 day, 21:42:27 time: 0.5103 data_time: 0.0409 memory: 18108 grad_norm: 3.0452 loss: 4.6267 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7341 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.8926 2023/02/01 07:37:30 - mmengine - INFO - Epoch(train) [84][1160/1879] lr: 8.8173e-02 eta: 1 day, 21:42:17 time: 0.4953 data_time: 0.0357 memory: 18108 grad_norm: 3.0451 loss: 4.2413 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3624 top1_acc_1: 0.4588 top5_acc_1: 0.7176 loss_cls_1: 1.8789 2023/02/01 07:37:40 - mmengine - INFO - Epoch(train) [84][1180/1879] lr: 8.8168e-02 eta: 1 day, 21:42:06 time: 0.5031 data_time: 0.0336 memory: 18108 grad_norm: 3.0695 loss: 4.4873 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6525 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.8348 2023/02/01 07:37:50 - mmengine - INFO - Epoch(train) [84][1200/1879] lr: 8.8163e-02 eta: 1 day, 21:41:56 time: 0.4962 data_time: 0.0329 memory: 18108 grad_norm: 3.0040 loss: 4.4539 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5517 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.9023 2023/02/01 07:38:00 - mmengine - INFO - Epoch(train) [84][1220/1879] lr: 8.8158e-02 eta: 1 day, 21:41:46 time: 0.5087 data_time: 0.0400 memory: 18108 grad_norm: 3.0348 loss: 4.5652 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6413 top1_acc_1: 0.4471 top5_acc_1: 0.7176 loss_cls_1: 1.9238 2023/02/01 07:38:10 - mmengine - INFO - Epoch(train) [84][1240/1879] lr: 8.8154e-02 eta: 1 day, 21:41:35 time: 0.4922 data_time: 0.0333 memory: 18108 grad_norm: 3.0517 loss: 4.2840 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.5000 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.7840 2023/02/01 07:38:20 - mmengine - INFO - Epoch(train) [84][1260/1879] lr: 8.8149e-02 eta: 1 day, 21:41:24 time: 0.5017 data_time: 0.0343 memory: 18108 grad_norm: 3.0258 loss: 4.3025 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4210 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8815 2023/02/01 07:38:30 - mmengine - INFO - Epoch(train) [84][1280/1879] lr: 8.8144e-02 eta: 1 day, 21:41:14 time: 0.5006 data_time: 0.0347 memory: 18108 grad_norm: 3.0215 loss: 4.4580 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5342 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.9239 2023/02/01 07:38:40 - mmengine - INFO - Epoch(train) [84][1300/1879] lr: 8.8139e-02 eta: 1 day, 21:41:03 time: 0.5013 data_time: 0.0423 memory: 18108 grad_norm: 3.0336 loss: 4.5738 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6711 top1_acc_1: 0.5059 top5_acc_1: 0.6941 loss_cls_1: 1.9027 2023/02/01 07:38:50 - mmengine - INFO - Epoch(train) [84][1320/1879] lr: 8.8134e-02 eta: 1 day, 21:40:53 time: 0.5013 data_time: 0.0336 memory: 18108 grad_norm: 3.0646 loss: 4.5574 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.4903 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 2.0671 2023/02/01 07:39:00 - mmengine - INFO - Epoch(train) [84][1340/1879] lr: 8.8129e-02 eta: 1 day, 21:40:42 time: 0.4933 data_time: 0.0337 memory: 18108 grad_norm: 3.0622 loss: 4.4854 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.5675 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9179 2023/02/01 07:39:10 - mmengine - INFO - Epoch(train) [84][1360/1879] lr: 8.8124e-02 eta: 1 day, 21:40:32 time: 0.4949 data_time: 0.0331 memory: 18108 grad_norm: 3.0283 loss: 4.4080 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5421 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 1.8658 2023/02/01 07:39:20 - mmengine - INFO - Epoch(train) [84][1380/1879] lr: 8.8119e-02 eta: 1 day, 21:40:21 time: 0.5026 data_time: 0.0413 memory: 18108 grad_norm: 3.0082 loss: 4.4700 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6464 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.8235 2023/02/01 07:39:29 - mmengine - INFO - Epoch(train) [84][1400/1879] lr: 8.8115e-02 eta: 1 day, 21:40:10 time: 0.4903 data_time: 0.0331 memory: 18108 grad_norm: 3.0641 loss: 4.4208 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5066 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9142 2023/02/01 07:39:39 - mmengine - INFO - Epoch(train) [84][1420/1879] lr: 8.8110e-02 eta: 1 day, 21:40:00 time: 0.5022 data_time: 0.0382 memory: 18108 grad_norm: 3.0507 loss: 4.4910 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 2.6677 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8232 2023/02/01 07:39:49 - mmengine - INFO - Epoch(train) [84][1440/1879] lr: 8.8105e-02 eta: 1 day, 21:39:49 time: 0.4994 data_time: 0.0371 memory: 18108 grad_norm: 3.0852 loss: 4.6150 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6978 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.9172 2023/02/01 07:40:00 - mmengine - INFO - Epoch(train) [84][1460/1879] lr: 8.8100e-02 eta: 1 day, 21:39:40 time: 0.5217 data_time: 0.0370 memory: 18108 grad_norm: 3.0332 loss: 4.3488 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5046 top1_acc_1: 0.5176 top5_acc_1: 0.8353 loss_cls_1: 1.8442 2023/02/01 07:40:10 - mmengine - INFO - Epoch(train) [84][1480/1879] lr: 8.8095e-02 eta: 1 day, 21:39:29 time: 0.4932 data_time: 0.0327 memory: 18108 grad_norm: 3.0050 loss: 4.7371 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.8355 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.9016 2023/02/01 07:40:20 - mmengine - INFO - Epoch(train) [84][1500/1879] lr: 8.8090e-02 eta: 1 day, 21:39:19 time: 0.5065 data_time: 0.0364 memory: 18108 grad_norm: 3.0184 loss: 4.3438 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4661 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.8777 2023/02/01 07:40:30 - mmengine - INFO - Epoch(train) [84][1520/1879] lr: 8.8085e-02 eta: 1 day, 21:39:08 time: 0.5014 data_time: 0.0305 memory: 18108 grad_norm: 3.0255 loss: 4.5456 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7720 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7736 2023/02/01 07:40:40 - mmengine - INFO - Epoch(train) [84][1540/1879] lr: 8.8080e-02 eta: 1 day, 21:38:58 time: 0.5096 data_time: 0.0361 memory: 18108 grad_norm: 3.1063 loss: 4.5064 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5446 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.9617 2023/02/01 07:40:50 - mmengine - INFO - Epoch(train) [84][1560/1879] lr: 8.8076e-02 eta: 1 day, 21:38:48 time: 0.5088 data_time: 0.0314 memory: 18108 grad_norm: 3.0573 loss: 4.5074 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6574 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.8500 2023/02/01 07:41:00 - mmengine - INFO - Epoch(train) [84][1580/1879] lr: 8.8071e-02 eta: 1 day, 21:38:38 time: 0.5051 data_time: 0.0363 memory: 18108 grad_norm: 3.0777 loss: 4.5763 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5763 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 2.0001 2023/02/01 07:41:11 - mmengine - INFO - Epoch(train) [84][1600/1879] lr: 8.8066e-02 eta: 1 day, 21:38:28 time: 0.5108 data_time: 0.0306 memory: 18108 grad_norm: 3.0053 loss: 4.5137 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6244 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.8893 2023/02/01 07:41:21 - mmengine - INFO - Epoch(train) [84][1620/1879] lr: 8.8061e-02 eta: 1 day, 21:38:18 time: 0.5047 data_time: 0.0378 memory: 18108 grad_norm: 3.0313 loss: 4.3126 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.3863 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.9263 2023/02/01 07:41:31 - mmengine - INFO - Epoch(train) [84][1640/1879] lr: 8.8056e-02 eta: 1 day, 21:38:07 time: 0.4950 data_time: 0.0388 memory: 18108 grad_norm: 2.9881 loss: 4.5088 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5908 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9180 2023/02/01 07:41:41 - mmengine - INFO - Epoch(train) [84][1660/1879] lr: 8.8051e-02 eta: 1 day, 21:37:56 time: 0.4961 data_time: 0.0373 memory: 18108 grad_norm: 3.0332 loss: 4.5394 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6467 top1_acc_1: 0.4941 top5_acc_1: 0.8235 loss_cls_1: 1.8927 2023/02/01 07:41:51 - mmengine - INFO - Epoch(train) [84][1680/1879] lr: 8.8046e-02 eta: 1 day, 21:37:46 time: 0.5008 data_time: 0.0307 memory: 18108 grad_norm: 3.0619 loss: 4.4671 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5273 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.9397 2023/02/01 07:42:01 - mmengine - INFO - Epoch(train) [84][1700/1879] lr: 8.8041e-02 eta: 1 day, 21:37:36 time: 0.5060 data_time: 0.0343 memory: 18108 grad_norm: 3.0742 loss: 4.3826 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5621 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.8205 2023/02/01 07:42:11 - mmengine - INFO - Epoch(train) [84][1720/1879] lr: 8.8036e-02 eta: 1 day, 21:37:25 time: 0.4989 data_time: 0.0340 memory: 18108 grad_norm: 3.0660 loss: 4.4210 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5245 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.8964 2023/02/01 07:42:21 - mmengine - INFO - Epoch(train) [84][1740/1879] lr: 8.8032e-02 eta: 1 day, 21:37:16 time: 0.5245 data_time: 0.0365 memory: 18108 grad_norm: 3.0326 loss: 4.5733 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.6836 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8897 2023/02/01 07:42:31 - mmengine - INFO - Epoch(train) [84][1760/1879] lr: 8.8027e-02 eta: 1 day, 21:37:05 time: 0.4996 data_time: 0.0315 memory: 18108 grad_norm: 3.0589 loss: 4.4383 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5373 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.9010 2023/02/01 07:42:42 - mmengine - INFO - Epoch(train) [84][1780/1879] lr: 8.8022e-02 eta: 1 day, 21:36:55 time: 0.5139 data_time: 0.0429 memory: 18108 grad_norm: 3.0637 loss: 4.7332 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.8381 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8951 2023/02/01 07:42:52 - mmengine - INFO - Epoch(train) [84][1800/1879] lr: 8.8017e-02 eta: 1 day, 21:36:45 time: 0.4997 data_time: 0.0323 memory: 18108 grad_norm: 3.0703 loss: 4.3192 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4229 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8963 2023/02/01 07:43:02 - mmengine - INFO - Epoch(train) [84][1820/1879] lr: 8.8012e-02 eta: 1 day, 21:36:35 time: 0.5138 data_time: 0.0358 memory: 18108 grad_norm: 3.0647 loss: 4.2926 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3531 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.9395 2023/02/01 07:43:12 - mmengine - INFO - Epoch(train) [84][1840/1879] lr: 8.8007e-02 eta: 1 day, 21:36:25 time: 0.5143 data_time: 0.0392 memory: 18108 grad_norm: 3.0914 loss: 4.4835 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.5748 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9087 2023/02/01 07:43:22 - mmengine - INFO - Epoch(train) [84][1860/1879] lr: 8.8002e-02 eta: 1 day, 21:36:14 time: 0.4971 data_time: 0.0354 memory: 18108 grad_norm: 3.0606 loss: 4.7432 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.8393 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9039 2023/02/01 07:43:31 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 07:43:31 - mmengine - INFO - Epoch(train) [84][1879/1879] lr: 8.7998e-02 eta: 1 day, 21:36:04 time: 0.4874 data_time: 0.0304 memory: 18108 grad_norm: 3.0957 loss: 4.3043 top1_acc_0: 0.4286 top5_acc_0: 0.5714 loss_cls_0: 2.3682 top1_acc_1: 0.5176 top5_acc_1: 0.6824 loss_cls_1: 1.9360 2023/02/01 07:43:32 - mmengine - INFO - Saving checkpoint at 84 epochs 2023/02/01 07:43:43 - mmengine - INFO - Epoch(val) [84][ 20/155] eta: 0:01:01 time: 0.4589 data_time: 0.3462 memory: 1906 2023/02/01 07:43:51 - mmengine - INFO - Epoch(val) [84][ 40/155] eta: 0:00:51 time: 0.4440 data_time: 0.3326 memory: 1906 2023/02/01 07:44:00 - mmengine - INFO - Epoch(val) [84][ 60/155] eta: 0:00:41 time: 0.4234 data_time: 0.3122 memory: 1906 2023/02/01 07:44:09 - mmengine - INFO - Epoch(val) [84][ 80/155] eta: 0:00:33 time: 0.4587 data_time: 0.3483 memory: 1906 2023/02/01 07:44:18 - mmengine - INFO - Epoch(val) [84][100/155] eta: 0:00:24 time: 0.4481 data_time: 0.3371 memory: 1906 2023/02/01 07:44:27 - mmengine - INFO - Epoch(val) [84][120/155] eta: 0:00:15 time: 0.4599 data_time: 0.3495 memory: 1906 2023/02/01 07:44:36 - mmengine - INFO - Epoch(val) [84][140/155] eta: 0:00:06 time: 0.4362 data_time: 0.3255 memory: 1906 2023/02/01 07:44:44 - mmengine - INFO - Epoch(val) [84][155/155] acc/top1: 0.4515 acc/top5: 0.7102 acc/mean1: 0.4513 2023/02/01 07:44:44 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_76.pth is removed 2023/02/01 07:44:46 - mmengine - INFO - The best checkpoint with 0.4515 acc/top1 at 84 epoch is saved to best_acc/top1_epoch_84.pth. 2023/02/01 07:44:59 - mmengine - INFO - Epoch(train) [85][ 20/1879] lr: 8.7993e-02 eta: 1 day, 21:36:00 time: 0.6705 data_time: 0.2296 memory: 18108 grad_norm: 3.1148 loss: 4.3959 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5222 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8737 2023/02/01 07:45:08 - mmengine - INFO - Epoch(train) [85][ 40/1879] lr: 8.7988e-02 eta: 1 day, 21:35:48 time: 0.4644 data_time: 0.0307 memory: 18108 grad_norm: 3.0262 loss: 4.0530 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2380 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.8150 2023/02/01 07:45:18 - mmengine - INFO - Epoch(train) [85][ 60/1879] lr: 8.7983e-02 eta: 1 day, 21:35:37 time: 0.4888 data_time: 0.0496 memory: 18108 grad_norm: 3.0585 loss: 4.4822 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7342 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7480 2023/02/01 07:45:28 - mmengine - INFO - Epoch(train) [85][ 80/1879] lr: 8.7978e-02 eta: 1 day, 21:35:27 time: 0.5122 data_time: 0.0311 memory: 18108 grad_norm: 3.0440 loss: 4.3918 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5272 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.8645 2023/02/01 07:45:38 - mmengine - INFO - Epoch(train) [85][ 100/1879] lr: 8.7973e-02 eta: 1 day, 21:35:16 time: 0.4818 data_time: 0.0385 memory: 18108 grad_norm: 3.0748 loss: 4.4507 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.6019 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8489 2023/02/01 07:45:47 - mmengine - INFO - Epoch(train) [85][ 120/1879] lr: 8.7968e-02 eta: 1 day, 21:35:05 time: 0.4742 data_time: 0.0289 memory: 18108 grad_norm: 3.1148 loss: 4.2825 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4035 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.8789 2023/02/01 07:45:58 - mmengine - INFO - Epoch(train) [85][ 140/1879] lr: 8.7963e-02 eta: 1 day, 21:34:55 time: 0.5201 data_time: 0.0431 memory: 18108 grad_norm: 3.1043 loss: 4.4281 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6347 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.7933 2023/02/01 07:46:08 - mmengine - INFO - Epoch(train) [85][ 160/1879] lr: 8.7958e-02 eta: 1 day, 21:34:44 time: 0.4848 data_time: 0.0306 memory: 18108 grad_norm: 3.0734 loss: 4.4944 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.5929 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.9015 2023/02/01 07:46:09 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 07:46:17 - mmengine - INFO - Epoch(train) [85][ 180/1879] lr: 8.7953e-02 eta: 1 day, 21:34:33 time: 0.4835 data_time: 0.0376 memory: 18108 grad_norm: 3.0081 loss: 4.4678 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5956 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8722 2023/02/01 07:46:27 - mmengine - INFO - Epoch(train) [85][ 200/1879] lr: 8.7949e-02 eta: 1 day, 21:34:22 time: 0.4922 data_time: 0.0387 memory: 18108 grad_norm: 3.1133 loss: 4.5390 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5454 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.9936 2023/02/01 07:46:37 - mmengine - INFO - Epoch(train) [85][ 220/1879] lr: 8.7944e-02 eta: 1 day, 21:34:11 time: 0.4994 data_time: 0.0353 memory: 18108 grad_norm: 3.1208 loss: 4.4508 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.5698 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8809 2023/02/01 07:46:47 - mmengine - INFO - Epoch(train) [85][ 240/1879] lr: 8.7939e-02 eta: 1 day, 21:34:00 time: 0.4796 data_time: 0.0301 memory: 18108 grad_norm: 3.0623 loss: 4.6481 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.7139 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.9343 2023/02/01 07:46:57 - mmengine - INFO - Epoch(train) [85][ 260/1879] lr: 8.7934e-02 eta: 1 day, 21:33:49 time: 0.4947 data_time: 0.0446 memory: 18108 grad_norm: 3.0078 loss: 4.4772 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6180 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.8593 2023/02/01 07:47:06 - mmengine - INFO - Epoch(train) [85][ 280/1879] lr: 8.7929e-02 eta: 1 day, 21:33:39 time: 0.4933 data_time: 0.0308 memory: 18108 grad_norm: 3.0889 loss: 4.5301 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6564 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.8737 2023/02/01 07:47:16 - mmengine - INFO - Epoch(train) [85][ 300/1879] lr: 8.7924e-02 eta: 1 day, 21:33:28 time: 0.4911 data_time: 0.0380 memory: 18108 grad_norm: 3.0544 loss: 4.6073 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7671 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8402 2023/02/01 07:47:26 - mmengine - INFO - Epoch(train) [85][ 320/1879] lr: 8.7919e-02 eta: 1 day, 21:33:17 time: 0.4846 data_time: 0.0408 memory: 18108 grad_norm: 3.0516 loss: 4.4827 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7603 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7225 2023/02/01 07:47:36 - mmengine - INFO - Epoch(train) [85][ 340/1879] lr: 8.7914e-02 eta: 1 day, 21:33:06 time: 0.4902 data_time: 0.0361 memory: 18108 grad_norm: 3.0956 loss: 4.2286 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.3875 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.8411 2023/02/01 07:47:46 - mmengine - INFO - Epoch(train) [85][ 360/1879] lr: 8.7909e-02 eta: 1 day, 21:32:55 time: 0.4849 data_time: 0.0322 memory: 18108 grad_norm: 3.0756 loss: 4.4505 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5615 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.8890 2023/02/01 07:47:56 - mmengine - INFO - Epoch(train) [85][ 380/1879] lr: 8.7904e-02 eta: 1 day, 21:32:44 time: 0.4972 data_time: 0.0377 memory: 18108 grad_norm: 3.1083 loss: 4.5917 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7556 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.8361 2023/02/01 07:48:05 - mmengine - INFO - Epoch(train) [85][ 400/1879] lr: 8.7899e-02 eta: 1 day, 21:32:33 time: 0.4941 data_time: 0.0306 memory: 18108 grad_norm: 3.1159 loss: 4.5961 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6914 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 1.9047 2023/02/01 07:48:15 - mmengine - INFO - Epoch(train) [85][ 420/1879] lr: 8.7895e-02 eta: 1 day, 21:32:22 time: 0.4879 data_time: 0.0372 memory: 18108 grad_norm: 3.0638 loss: 4.7770 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.8458 top1_acc_1: 0.5529 top5_acc_1: 0.6941 loss_cls_1: 1.9312 2023/02/01 07:48:25 - mmengine - INFO - Epoch(train) [85][ 440/1879] lr: 8.7890e-02 eta: 1 day, 21:32:12 time: 0.4891 data_time: 0.0309 memory: 18108 grad_norm: 3.0778 loss: 4.3644 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5068 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.8576 2023/02/01 07:48:35 - mmengine - INFO - Epoch(train) [85][ 460/1879] lr: 8.7885e-02 eta: 1 day, 21:32:01 time: 0.4918 data_time: 0.0455 memory: 18108 grad_norm: 3.0573 loss: 4.3812 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.5978 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.7833 2023/02/01 07:48:45 - mmengine - INFO - Epoch(train) [85][ 480/1879] lr: 8.7880e-02 eta: 1 day, 21:31:50 time: 0.4843 data_time: 0.0302 memory: 18108 grad_norm: 3.0136 loss: 4.4710 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6553 top1_acc_1: 0.6824 top5_acc_1: 0.8118 loss_cls_1: 1.8157 2023/02/01 07:48:54 - mmengine - INFO - Epoch(train) [85][ 500/1879] lr: 8.7875e-02 eta: 1 day, 21:31:39 time: 0.4876 data_time: 0.0379 memory: 18108 grad_norm: 3.0493 loss: 4.3523 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4449 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.9074 2023/02/01 07:49:04 - mmengine - INFO - Epoch(train) [85][ 520/1879] lr: 8.7870e-02 eta: 1 day, 21:31:28 time: 0.4986 data_time: 0.0382 memory: 18108 grad_norm: 3.0374 loss: 4.2662 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4513 top1_acc_1: 0.6000 top5_acc_1: 0.7412 loss_cls_1: 1.8149 2023/02/01 07:49:14 - mmengine - INFO - Epoch(train) [85][ 540/1879] lr: 8.7865e-02 eta: 1 day, 21:31:17 time: 0.4963 data_time: 0.0373 memory: 18108 grad_norm: 3.1615 loss: 4.6007 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.7287 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.8720 2023/02/01 07:49:24 - mmengine - INFO - Epoch(train) [85][ 560/1879] lr: 8.7860e-02 eta: 1 day, 21:31:06 time: 0.4886 data_time: 0.0301 memory: 18108 grad_norm: 3.0708 loss: 4.3980 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5383 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.8597 2023/02/01 07:49:34 - mmengine - INFO - Epoch(train) [85][ 580/1879] lr: 8.7855e-02 eta: 1 day, 21:30:56 time: 0.4937 data_time: 0.0444 memory: 18108 grad_norm: 3.0428 loss: 4.3586 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5654 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7932 2023/02/01 07:49:44 - mmengine - INFO - Epoch(train) [85][ 600/1879] lr: 8.7850e-02 eta: 1 day, 21:30:45 time: 0.4985 data_time: 0.0311 memory: 18108 grad_norm: 3.0975 loss: 4.3740 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4861 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8879 2023/02/01 07:49:54 - mmengine - INFO - Epoch(train) [85][ 620/1879] lr: 8.7845e-02 eta: 1 day, 21:30:34 time: 0.4900 data_time: 0.0354 memory: 18108 grad_norm: 3.1147 loss: 4.6473 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 2.7505 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8968 2023/02/01 07:50:03 - mmengine - INFO - Epoch(train) [85][ 640/1879] lr: 8.7840e-02 eta: 1 day, 21:30:23 time: 0.4883 data_time: 0.0383 memory: 18108 grad_norm: 3.0829 loss: 4.4487 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.6447 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.8040 2023/02/01 07:50:13 - mmengine - INFO - Epoch(train) [85][ 660/1879] lr: 8.7836e-02 eta: 1 day, 21:30:13 time: 0.4951 data_time: 0.0369 memory: 18108 grad_norm: 3.0412 loss: 4.4262 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.5546 top1_acc_1: 0.4471 top5_acc_1: 0.6941 loss_cls_1: 1.8715 2023/02/01 07:50:23 - mmengine - INFO - Epoch(train) [85][ 680/1879] lr: 8.7831e-02 eta: 1 day, 21:30:02 time: 0.4933 data_time: 0.0336 memory: 18108 grad_norm: 3.0555 loss: 4.4991 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.6578 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8412 2023/02/01 07:50:33 - mmengine - INFO - Epoch(train) [85][ 700/1879] lr: 8.7826e-02 eta: 1 day, 21:29:52 time: 0.5041 data_time: 0.0460 memory: 18108 grad_norm: 2.9729 loss: 4.4394 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5266 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9129 2023/02/01 07:50:43 - mmengine - INFO - Epoch(train) [85][ 720/1879] lr: 8.7821e-02 eta: 1 day, 21:29:40 time: 0.4766 data_time: 0.0321 memory: 18108 grad_norm: 3.1274 loss: 4.4575 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5833 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8742 2023/02/01 07:50:53 - mmengine - INFO - Epoch(train) [85][ 740/1879] lr: 8.7816e-02 eta: 1 day, 21:29:30 time: 0.5091 data_time: 0.0384 memory: 18108 grad_norm: 3.0577 loss: 4.5975 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6729 top1_acc_1: 0.5647 top5_acc_1: 0.8706 loss_cls_1: 1.9246 2023/02/01 07:51:03 - mmengine - INFO - Epoch(train) [85][ 760/1879] lr: 8.7811e-02 eta: 1 day, 21:29:19 time: 0.4812 data_time: 0.0304 memory: 18108 grad_norm: 3.1510 loss: 4.5688 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 2.7041 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.8647 2023/02/01 07:51:12 - mmengine - INFO - Epoch(train) [85][ 780/1879] lr: 8.7806e-02 eta: 1 day, 21:29:08 time: 0.4870 data_time: 0.0393 memory: 18108 grad_norm: 3.0866 loss: 4.4346 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5334 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.9013 2023/02/01 07:51:22 - mmengine - INFO - Epoch(train) [85][ 800/1879] lr: 8.7801e-02 eta: 1 day, 21:28:57 time: 0.4895 data_time: 0.0318 memory: 18108 grad_norm: 3.1164 loss: 4.7039 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.8056 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.8983 2023/02/01 07:51:32 - mmengine - INFO - Epoch(train) [85][ 820/1879] lr: 8.7796e-02 eta: 1 day, 21:28:46 time: 0.4965 data_time: 0.0379 memory: 18108 grad_norm: 3.0376 loss: 4.4574 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6467 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8108 2023/02/01 07:51:42 - mmengine - INFO - Epoch(train) [85][ 840/1879] lr: 8.7791e-02 eta: 1 day, 21:28:35 time: 0.4880 data_time: 0.0372 memory: 18108 grad_norm: 3.0872 loss: 4.6043 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7118 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8926 2023/02/01 07:51:52 - mmengine - INFO - Epoch(train) [85][ 860/1879] lr: 8.7786e-02 eta: 1 day, 21:28:25 time: 0.4937 data_time: 0.0375 memory: 18108 grad_norm: 3.0238 loss: 4.5703 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5971 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.9732 2023/02/01 07:52:02 - mmengine - INFO - Epoch(train) [85][ 880/1879] lr: 8.7781e-02 eta: 1 day, 21:28:14 time: 0.5082 data_time: 0.0308 memory: 18108 grad_norm: 3.0317 loss: 4.4475 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5615 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.8860 2023/02/01 07:52:12 - mmengine - INFO - Epoch(train) [85][ 900/1879] lr: 8.7776e-02 eta: 1 day, 21:28:04 time: 0.5076 data_time: 0.0436 memory: 18108 grad_norm: 3.0701 loss: 4.4110 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.4795 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.9315 2023/02/01 07:52:22 - mmengine - INFO - Epoch(train) [85][ 920/1879] lr: 8.7771e-02 eta: 1 day, 21:27:54 time: 0.4954 data_time: 0.0309 memory: 18108 grad_norm: 2.9986 loss: 4.3267 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4731 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.8535 2023/02/01 07:52:32 - mmengine - INFO - Epoch(train) [85][ 940/1879] lr: 8.7767e-02 eta: 1 day, 21:27:43 time: 0.5033 data_time: 0.0358 memory: 18108 grad_norm: 3.0845 loss: 4.4250 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4413 top1_acc_1: 0.5765 top5_acc_1: 0.7294 loss_cls_1: 1.9836 2023/02/01 07:52:42 - mmengine - INFO - Epoch(train) [85][ 960/1879] lr: 8.7762e-02 eta: 1 day, 21:27:33 time: 0.5012 data_time: 0.0379 memory: 18108 grad_norm: 3.0749 loss: 4.6523 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7524 top1_acc_1: 0.4941 top5_acc_1: 0.8235 loss_cls_1: 1.8999 2023/02/01 07:52:52 - mmengine - INFO - Epoch(train) [85][ 980/1879] lr: 8.7757e-02 eta: 1 day, 21:27:22 time: 0.4979 data_time: 0.0371 memory: 18108 grad_norm: 3.1131 loss: 4.3722 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5197 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 1.8525 2023/02/01 07:53:02 - mmengine - INFO - Epoch(train) [85][1000/1879] lr: 8.7752e-02 eta: 1 day, 21:27:12 time: 0.5021 data_time: 0.0314 memory: 18108 grad_norm: 3.0135 loss: 4.2624 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4607 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8018 2023/02/01 07:53:12 - mmengine - INFO - Epoch(train) [85][1020/1879] lr: 8.7747e-02 eta: 1 day, 21:27:01 time: 0.5012 data_time: 0.0442 memory: 18108 grad_norm: 3.0250 loss: 4.4839 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6623 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.8216 2023/02/01 07:53:22 - mmengine - INFO - Epoch(train) [85][1040/1879] lr: 8.7742e-02 eta: 1 day, 21:26:51 time: 0.4976 data_time: 0.0325 memory: 18108 grad_norm: 3.1257 loss: 4.5769 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6602 top1_acc_1: 0.4706 top5_acc_1: 0.7882 loss_cls_1: 1.9167 2023/02/01 07:53:32 - mmengine - INFO - Epoch(train) [85][1060/1879] lr: 8.7737e-02 eta: 1 day, 21:26:40 time: 0.4997 data_time: 0.0375 memory: 18108 grad_norm: 3.0212 loss: 4.2733 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3675 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9058 2023/02/01 07:53:42 - mmengine - INFO - Epoch(train) [85][1080/1879] lr: 8.7732e-02 eta: 1 day, 21:26:30 time: 0.5110 data_time: 0.0411 memory: 18108 grad_norm: 3.0331 loss: 4.2681 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.4434 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8247 2023/02/01 07:53:52 - mmengine - INFO - Epoch(train) [85][1100/1879] lr: 8.7727e-02 eta: 1 day, 21:26:20 time: 0.4939 data_time: 0.0376 memory: 18108 grad_norm: 3.0699 loss: 4.5731 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7335 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.8397 2023/02/01 07:54:02 - mmengine - INFO - Epoch(train) [85][1120/1879] lr: 8.7722e-02 eta: 1 day, 21:26:09 time: 0.5020 data_time: 0.0320 memory: 18108 grad_norm: 3.0702 loss: 4.5986 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.7451 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.8535 2023/02/01 07:54:12 - mmengine - INFO - Epoch(train) [85][1140/1879] lr: 8.7717e-02 eta: 1 day, 21:25:59 time: 0.5046 data_time: 0.0440 memory: 18108 grad_norm: 3.0621 loss: 4.4530 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6028 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.8501 2023/02/01 07:54:22 - mmengine - INFO - Epoch(train) [85][1160/1879] lr: 8.7712e-02 eta: 1 day, 21:25:48 time: 0.4957 data_time: 0.0312 memory: 18108 grad_norm: 3.1065 loss: 4.4579 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5379 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.9199 2023/02/01 07:54:24 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 07:54:32 - mmengine - INFO - Epoch(train) [85][1180/1879] lr: 8.7707e-02 eta: 1 day, 21:25:38 time: 0.4922 data_time: 0.0373 memory: 18108 grad_norm: 3.0437 loss: 4.4118 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.4763 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 1.9354 2023/02/01 07:54:43 - mmengine - INFO - Epoch(train) [85][1200/1879] lr: 8.7702e-02 eta: 1 day, 21:25:28 time: 0.5147 data_time: 0.0314 memory: 18108 grad_norm: 3.0435 loss: 4.5889 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6799 top1_acc_1: 0.4235 top5_acc_1: 0.7647 loss_cls_1: 1.9091 2023/02/01 07:54:53 - mmengine - INFO - Epoch(train) [85][1220/1879] lr: 8.7697e-02 eta: 1 day, 21:25:17 time: 0.5048 data_time: 0.0459 memory: 18108 grad_norm: 3.0581 loss: 4.3032 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4102 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.8930 2023/02/01 07:55:03 - mmengine - INFO - Epoch(train) [85][1240/1879] lr: 8.7692e-02 eta: 1 day, 21:25:07 time: 0.4927 data_time: 0.0312 memory: 18108 grad_norm: 3.0337 loss: 4.3651 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.4518 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9133 2023/02/01 07:55:13 - mmengine - INFO - Epoch(train) [85][1260/1879] lr: 8.7687e-02 eta: 1 day, 21:24:56 time: 0.5029 data_time: 0.0374 memory: 18108 grad_norm: 3.0726 loss: 4.3749 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.4483 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.9266 2023/02/01 07:55:23 - mmengine - INFO - Epoch(train) [85][1280/1879] lr: 8.7683e-02 eta: 1 day, 21:24:47 time: 0.5211 data_time: 0.0412 memory: 18108 grad_norm: 3.1400 loss: 4.3903 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5196 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8706 2023/02/01 07:55:33 - mmengine - INFO - Epoch(train) [85][1300/1879] lr: 8.7678e-02 eta: 1 day, 21:24:36 time: 0.4926 data_time: 0.0388 memory: 18108 grad_norm: 3.1007 loss: 4.2982 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.3705 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.9277 2023/02/01 07:55:43 - mmengine - INFO - Epoch(train) [85][1320/1879] lr: 8.7673e-02 eta: 1 day, 21:24:25 time: 0.4964 data_time: 0.0330 memory: 18108 grad_norm: 3.0502 loss: 4.4732 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6418 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8314 2023/02/01 07:55:53 - mmengine - INFO - Epoch(train) [85][1340/1879] lr: 8.7668e-02 eta: 1 day, 21:24:15 time: 0.5178 data_time: 0.0437 memory: 18108 grad_norm: 3.0789 loss: 4.4741 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5778 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.8962 2023/02/01 07:56:03 - mmengine - INFO - Epoch(train) [85][1360/1879] lr: 8.7663e-02 eta: 1 day, 21:24:05 time: 0.5052 data_time: 0.0396 memory: 18108 grad_norm: 3.0403 loss: 4.5098 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.5759 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.9338 2023/02/01 07:56:13 - mmengine - INFO - Epoch(train) [85][1380/1879] lr: 8.7658e-02 eta: 1 day, 21:23:55 time: 0.5032 data_time: 0.0322 memory: 18108 grad_norm: 3.0875 loss: 4.6223 top1_acc_0: 0.1250 top5_acc_0: 0.6875 loss_cls_0: 2.7114 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 1.9109 2023/02/01 07:56:24 - mmengine - INFO - Epoch(train) [85][1400/1879] lr: 8.7653e-02 eta: 1 day, 21:23:46 time: 0.5286 data_time: 0.0440 memory: 18108 grad_norm: 3.0927 loss: 4.2057 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3532 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.8525 2023/02/01 07:56:34 - mmengine - INFO - Epoch(train) [85][1420/1879] lr: 8.7648e-02 eta: 1 day, 21:23:35 time: 0.5086 data_time: 0.0310 memory: 18108 grad_norm: 3.0820 loss: 4.5978 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6831 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.9147 2023/02/01 07:56:44 - mmengine - INFO - Epoch(train) [85][1440/1879] lr: 8.7643e-02 eta: 1 day, 21:23:25 time: 0.4952 data_time: 0.0357 memory: 18108 grad_norm: 3.1252 loss: 4.6749 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.7067 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9682 2023/02/01 07:56:54 - mmengine - INFO - Epoch(train) [85][1460/1879] lr: 8.7638e-02 eta: 1 day, 21:23:15 time: 0.5084 data_time: 0.0311 memory: 18108 grad_norm: 3.0284 loss: 4.2987 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.4439 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.8548 2023/02/01 07:57:05 - mmengine - INFO - Epoch(train) [85][1480/1879] lr: 8.7633e-02 eta: 1 day, 21:23:05 time: 0.5123 data_time: 0.0368 memory: 18108 grad_norm: 3.0225 loss: 4.2956 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5139 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.7817 2023/02/01 07:57:15 - mmengine - INFO - Epoch(train) [85][1500/1879] lr: 8.7628e-02 eta: 1 day, 21:22:54 time: 0.5091 data_time: 0.0300 memory: 18108 grad_norm: 3.0591 loss: 4.3674 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4929 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8745 2023/02/01 07:57:25 - mmengine - INFO - Epoch(train) [85][1520/1879] lr: 8.7623e-02 eta: 1 day, 21:22:45 time: 0.5259 data_time: 0.0363 memory: 18108 grad_norm: 3.0601 loss: 4.3360 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.4542 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8818 2023/02/01 07:57:36 - mmengine - INFO - Epoch(train) [85][1540/1879] lr: 8.7618e-02 eta: 1 day, 21:22:36 time: 0.5391 data_time: 0.0341 memory: 18108 grad_norm: 3.0761 loss: 4.4226 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4232 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.9994 2023/02/01 07:57:46 - mmengine - INFO - Epoch(train) [85][1560/1879] lr: 8.7613e-02 eta: 1 day, 21:22:26 time: 0.5162 data_time: 0.0353 memory: 18108 grad_norm: 3.0621 loss: 4.5123 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5426 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.9697 2023/02/01 07:57:57 - mmengine - INFO - Epoch(train) [85][1580/1879] lr: 8.7608e-02 eta: 1 day, 21:22:16 time: 0.5071 data_time: 0.0309 memory: 18108 grad_norm: 3.0153 loss: 4.4957 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.6054 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8903 2023/02/01 07:58:07 - mmengine - INFO - Epoch(train) [85][1600/1879] lr: 8.7603e-02 eta: 1 day, 21:22:07 time: 0.5276 data_time: 0.0354 memory: 18108 grad_norm: 2.9908 loss: 4.6090 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7432 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8658 2023/02/01 07:58:18 - mmengine - INFO - Epoch(train) [85][1620/1879] lr: 8.7598e-02 eta: 1 day, 21:21:57 time: 0.5218 data_time: 0.0299 memory: 18108 grad_norm: 3.0627 loss: 4.5228 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.6808 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8419 2023/02/01 07:58:28 - mmengine - INFO - Epoch(train) [85][1640/1879] lr: 8.7593e-02 eta: 1 day, 21:21:48 time: 0.5249 data_time: 0.0344 memory: 18108 grad_norm: 3.0861 loss: 4.5670 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7204 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.8467 2023/02/01 07:58:38 - mmengine - INFO - Epoch(train) [85][1660/1879] lr: 8.7588e-02 eta: 1 day, 21:21:38 time: 0.5139 data_time: 0.0293 memory: 18108 grad_norm: 3.0343 loss: 4.5648 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.6145 top1_acc_1: 0.4471 top5_acc_1: 0.8118 loss_cls_1: 1.9503 2023/02/01 07:58:49 - mmengine - INFO - Epoch(train) [85][1680/1879] lr: 8.7583e-02 eta: 1 day, 21:21:28 time: 0.5266 data_time: 0.0410 memory: 18108 grad_norm: 3.0470 loss: 4.5035 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.5845 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 1.9190 2023/02/01 07:59:00 - mmengine - INFO - Epoch(train) [85][1700/1879] lr: 8.7578e-02 eta: 1 day, 21:21:19 time: 0.5360 data_time: 0.0300 memory: 18108 grad_norm: 3.0804 loss: 4.5637 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6489 top1_acc_1: 0.6118 top5_acc_1: 0.8941 loss_cls_1: 1.9148 2023/02/01 07:59:10 - mmengine - INFO - Epoch(train) [85][1720/1879] lr: 8.7573e-02 eta: 1 day, 21:21:10 time: 0.5291 data_time: 0.0360 memory: 18108 grad_norm: 3.0483 loss: 4.3920 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5063 top1_acc_1: 0.4824 top5_acc_1: 0.6941 loss_cls_1: 1.8857 2023/02/01 07:59:20 - mmengine - INFO - Epoch(train) [85][1740/1879] lr: 8.7568e-02 eta: 1 day, 21:21:00 time: 0.5095 data_time: 0.0420 memory: 18108 grad_norm: 3.1003 loss: 4.4959 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5896 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.9063 2023/02/01 07:59:31 - mmengine - INFO - Epoch(train) [85][1760/1879] lr: 8.7563e-02 eta: 1 day, 21:20:51 time: 0.5289 data_time: 0.0341 memory: 18108 grad_norm: 3.0600 loss: 4.5096 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6501 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.8594 2023/02/01 07:59:41 - mmengine - INFO - Epoch(train) [85][1780/1879] lr: 8.7558e-02 eta: 1 day, 21:20:41 time: 0.5128 data_time: 0.0308 memory: 18108 grad_norm: 3.0693 loss: 4.4742 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.5697 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.9045 2023/02/01 07:59:52 - mmengine - INFO - Epoch(train) [85][1800/1879] lr: 8.7554e-02 eta: 1 day, 21:20:32 time: 0.5394 data_time: 0.0350 memory: 18108 grad_norm: 3.1076 loss: 4.5067 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6634 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.8433 2023/02/01 08:00:02 - mmengine - INFO - Epoch(train) [85][1820/1879] lr: 8.7549e-02 eta: 1 day, 21:20:22 time: 0.5204 data_time: 0.0292 memory: 18108 grad_norm: 3.0148 loss: 4.4863 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6113 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.8750 2023/02/01 08:00:13 - mmengine - INFO - Epoch(train) [85][1840/1879] lr: 8.7544e-02 eta: 1 day, 21:20:14 time: 0.5475 data_time: 0.0357 memory: 18108 grad_norm: 3.0544 loss: 4.5545 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6086 top1_acc_1: 0.5882 top5_acc_1: 0.7059 loss_cls_1: 1.9458 2023/02/01 08:00:24 - mmengine - INFO - Epoch(train) [85][1860/1879] lr: 8.7539e-02 eta: 1 day, 21:20:04 time: 0.5313 data_time: 0.0297 memory: 18108 grad_norm: 3.0752 loss: 4.4363 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5164 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.9199 2023/02/01 08:00:34 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 08:00:34 - mmengine - INFO - Epoch(train) [85][1879/1879] lr: 8.7534e-02 eta: 1 day, 21:19:55 time: 0.5056 data_time: 0.0353 memory: 18108 grad_norm: 3.1297 loss: 4.5718 top1_acc_0: 0.2857 top5_acc_0: 0.8571 loss_cls_0: 2.5895 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.9822 2023/02/01 08:00:49 - mmengine - INFO - Epoch(train) [86][ 20/1879] lr: 8.7529e-02 eta: 1 day, 21:19:53 time: 0.7103 data_time: 0.2631 memory: 18108 grad_norm: 2.9868 loss: 4.2372 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4459 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.7913 2023/02/01 08:00:58 - mmengine - INFO - Epoch(train) [86][ 40/1879] lr: 8.7524e-02 eta: 1 day, 21:19:41 time: 0.4737 data_time: 0.0303 memory: 18108 grad_norm: 3.0294 loss: 4.3989 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5243 top1_acc_1: 0.6118 top5_acc_1: 0.7412 loss_cls_1: 1.8746 2023/02/01 08:01:08 - mmengine - INFO - Epoch(train) [86][ 60/1879] lr: 8.7519e-02 eta: 1 day, 21:19:31 time: 0.5042 data_time: 0.0460 memory: 18108 grad_norm: 3.1395 loss: 4.5287 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.6961 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8326 2023/02/01 08:01:18 - mmengine - INFO - Epoch(train) [86][ 80/1879] lr: 8.7514e-02 eta: 1 day, 21:19:20 time: 0.5019 data_time: 0.0319 memory: 18108 grad_norm: 3.0809 loss: 4.2541 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4481 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.8059 2023/02/01 08:01:28 - mmengine - INFO - Epoch(train) [86][ 100/1879] lr: 8.7509e-02 eta: 1 day, 21:19:09 time: 0.4805 data_time: 0.0370 memory: 18108 grad_norm: 3.0448 loss: 4.5383 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6519 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8865 2023/02/01 08:01:37 - mmengine - INFO - Epoch(train) [86][ 120/1879] lr: 8.7504e-02 eta: 1 day, 21:18:57 time: 0.4680 data_time: 0.0296 memory: 18108 grad_norm: 3.1113 loss: 4.4184 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4873 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.9310 2023/02/01 08:01:47 - mmengine - INFO - Epoch(train) [86][ 140/1879] lr: 8.7499e-02 eta: 1 day, 21:18:47 time: 0.4991 data_time: 0.0431 memory: 18108 grad_norm: 3.0701 loss: 4.6302 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7539 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.8762 2023/02/01 08:01:57 - mmengine - INFO - Epoch(train) [86][ 160/1879] lr: 8.7494e-02 eta: 1 day, 21:18:36 time: 0.4799 data_time: 0.0284 memory: 18108 grad_norm: 3.0348 loss: 4.1581 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3517 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8065 2023/02/01 08:02:07 - mmengine - INFO - Epoch(train) [86][ 180/1879] lr: 8.7489e-02 eta: 1 day, 21:18:24 time: 0.4772 data_time: 0.0358 memory: 18108 grad_norm: 3.0433 loss: 4.3616 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 2.6019 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.7597 2023/02/01 08:02:16 - mmengine - INFO - Epoch(train) [86][ 200/1879] lr: 8.7484e-02 eta: 1 day, 21:18:13 time: 0.4717 data_time: 0.0371 memory: 18108 grad_norm: 3.0501 loss: 4.3243 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4521 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8723 2023/02/01 08:02:26 - mmengine - INFO - Epoch(train) [86][ 220/1879] lr: 8.7479e-02 eta: 1 day, 21:18:03 time: 0.5091 data_time: 0.0369 memory: 18108 grad_norm: 3.0782 loss: 4.4745 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.5948 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.8797 2023/02/01 08:02:35 - mmengine - INFO - Epoch(train) [86][ 240/1879] lr: 8.7474e-02 eta: 1 day, 21:17:51 time: 0.4647 data_time: 0.0286 memory: 18108 grad_norm: 3.0700 loss: 4.3098 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.5451 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.7647 2023/02/01 08:02:45 - mmengine - INFO - Epoch(train) [86][ 260/1879] lr: 8.7469e-02 eta: 1 day, 21:17:40 time: 0.4898 data_time: 0.0446 memory: 18108 grad_norm: 3.0440 loss: 4.4761 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6499 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.8262 2023/02/01 08:02:55 - mmengine - INFO - Epoch(train) [86][ 280/1879] lr: 8.7464e-02 eta: 1 day, 21:17:29 time: 0.5052 data_time: 0.0298 memory: 18108 grad_norm: 3.0719 loss: 4.2661 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4052 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.8609 2023/02/01 08:02:58 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 08:03:06 - mmengine - INFO - Epoch(train) [86][ 300/1879] lr: 8.7459e-02 eta: 1 day, 21:17:19 time: 0.5095 data_time: 0.0370 memory: 18108 grad_norm: 3.0791 loss: 4.4422 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6637 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7785 2023/02/01 08:03:16 - mmengine - INFO - Epoch(train) [86][ 320/1879] lr: 8.7454e-02 eta: 1 day, 21:17:09 time: 0.5061 data_time: 0.0357 memory: 18108 grad_norm: 3.0404 loss: 4.4249 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5570 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.8679 2023/02/01 08:03:26 - mmengine - INFO - Epoch(train) [86][ 340/1879] lr: 8.7449e-02 eta: 1 day, 21:16:59 time: 0.5032 data_time: 0.0364 memory: 18108 grad_norm: 3.1102 loss: 4.2494 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4995 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.7499 2023/02/01 08:03:36 - mmengine - INFO - Epoch(train) [86][ 360/1879] lr: 8.7444e-02 eta: 1 day, 21:16:49 time: 0.5135 data_time: 0.0293 memory: 18108 grad_norm: 3.1090 loss: 4.5759 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7607 top1_acc_1: 0.4471 top5_acc_1: 0.7765 loss_cls_1: 1.8151 2023/02/01 08:03:46 - mmengine - INFO - Epoch(train) [86][ 380/1879] lr: 8.7439e-02 eta: 1 day, 21:16:39 time: 0.5051 data_time: 0.0389 memory: 18108 grad_norm: 3.0426 loss: 4.3067 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5094 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7973 2023/02/01 08:03:56 - mmengine - INFO - Epoch(train) [86][ 400/1879] lr: 8.7434e-02 eta: 1 day, 21:16:28 time: 0.5018 data_time: 0.0371 memory: 18108 grad_norm: 3.1421 loss: 4.4379 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6655 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7724 2023/02/01 08:04:07 - mmengine - INFO - Epoch(train) [86][ 420/1879] lr: 8.7429e-02 eta: 1 day, 21:16:18 time: 0.5131 data_time: 0.0381 memory: 18108 grad_norm: 3.0575 loss: 4.4113 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6234 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7879 2023/02/01 08:04:17 - mmengine - INFO - Epoch(train) [86][ 440/1879] lr: 8.7424e-02 eta: 1 day, 21:16:08 time: 0.5078 data_time: 0.0314 memory: 18108 grad_norm: 3.0110 loss: 4.2651 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4573 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8079 2023/02/01 08:04:27 - mmengine - INFO - Epoch(train) [86][ 460/1879] lr: 8.7419e-02 eta: 1 day, 21:15:58 time: 0.5046 data_time: 0.0459 memory: 18108 grad_norm: 3.0482 loss: 4.4341 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5783 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.8559 2023/02/01 08:04:37 - mmengine - INFO - Epoch(train) [86][ 480/1879] lr: 8.7414e-02 eta: 1 day, 21:15:47 time: 0.5007 data_time: 0.0294 memory: 18108 grad_norm: 3.0732 loss: 4.3934 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5241 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.8693 2023/02/01 08:04:47 - mmengine - INFO - Epoch(train) [86][ 500/1879] lr: 8.7409e-02 eta: 1 day, 21:15:37 time: 0.5092 data_time: 0.0392 memory: 18108 grad_norm: 3.0001 loss: 4.5361 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.5896 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.9465 2023/02/01 08:04:57 - mmengine - INFO - Epoch(train) [86][ 520/1879] lr: 8.7404e-02 eta: 1 day, 21:15:27 time: 0.5028 data_time: 0.0303 memory: 18108 grad_norm: 3.0508 loss: 4.3559 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5315 top1_acc_1: 0.6824 top5_acc_1: 0.7529 loss_cls_1: 1.8244 2023/02/01 08:05:07 - mmengine - INFO - Epoch(train) [86][ 540/1879] lr: 8.7399e-02 eta: 1 day, 21:15:17 time: 0.5141 data_time: 0.0442 memory: 18108 grad_norm: 3.0455 loss: 4.5330 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5938 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.9392 2023/02/01 08:05:18 - mmengine - INFO - Epoch(train) [86][ 560/1879] lr: 8.7394e-02 eta: 1 day, 21:15:07 time: 0.5095 data_time: 0.0318 memory: 18108 grad_norm: 3.1017 loss: 4.5334 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5813 top1_acc_1: 0.4471 top5_acc_1: 0.7059 loss_cls_1: 1.9521 2023/02/01 08:05:28 - mmengine - INFO - Epoch(train) [86][ 580/1879] lr: 8.7389e-02 eta: 1 day, 21:14:56 time: 0.4991 data_time: 0.0381 memory: 18108 grad_norm: 3.0516 loss: 4.4917 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.6081 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.8836 2023/02/01 08:05:38 - mmengine - INFO - Epoch(train) [86][ 600/1879] lr: 8.7384e-02 eta: 1 day, 21:14:46 time: 0.5010 data_time: 0.0357 memory: 18108 grad_norm: 3.1156 loss: 4.4310 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6495 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7815 2023/02/01 08:05:48 - mmengine - INFO - Epoch(train) [86][ 620/1879] lr: 8.7379e-02 eta: 1 day, 21:14:36 time: 0.5116 data_time: 0.0387 memory: 18108 grad_norm: 3.0649 loss: 4.4176 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6238 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7938 2023/02/01 08:05:58 - mmengine - INFO - Epoch(train) [86][ 640/1879] lr: 8.7374e-02 eta: 1 day, 21:14:26 time: 0.5117 data_time: 0.0284 memory: 18108 grad_norm: 3.1488 loss: 4.4774 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6920 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7854 2023/02/01 08:06:08 - mmengine - INFO - Epoch(train) [86][ 660/1879] lr: 8.7369e-02 eta: 1 day, 21:14:16 time: 0.5154 data_time: 0.0438 memory: 18108 grad_norm: 3.0572 loss: 4.2074 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3276 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8797 2023/02/01 08:06:18 - mmengine - INFO - Epoch(train) [86][ 680/1879] lr: 8.7364e-02 eta: 1 day, 21:14:06 time: 0.5012 data_time: 0.0288 memory: 18108 grad_norm: 3.0706 loss: 4.5336 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6650 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.8686 2023/02/01 08:06:28 - mmengine - INFO - Epoch(train) [86][ 700/1879] lr: 8.7359e-02 eta: 1 day, 21:13:55 time: 0.5022 data_time: 0.0350 memory: 18108 grad_norm: 3.0685 loss: 4.4117 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4957 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 1.9160 2023/02/01 08:06:39 - mmengine - INFO - Epoch(train) [86][ 720/1879] lr: 8.7354e-02 eta: 1 day, 21:13:45 time: 0.5041 data_time: 0.0289 memory: 18108 grad_norm: 3.0382 loss: 4.4301 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5881 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8420 2023/02/01 08:06:49 - mmengine - INFO - Epoch(train) [86][ 740/1879] lr: 8.7349e-02 eta: 1 day, 21:13:35 time: 0.5228 data_time: 0.0414 memory: 18108 grad_norm: 3.0884 loss: 4.3804 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5504 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.8301 2023/02/01 08:06:59 - mmengine - INFO - Epoch(train) [86][ 760/1879] lr: 8.7344e-02 eta: 1 day, 21:13:25 time: 0.4967 data_time: 0.0301 memory: 18108 grad_norm: 3.0728 loss: 4.5775 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6954 top1_acc_1: 0.6471 top5_acc_1: 0.7412 loss_cls_1: 1.8821 2023/02/01 08:07:09 - mmengine - INFO - Epoch(train) [86][ 780/1879] lr: 8.7339e-02 eta: 1 day, 21:13:15 time: 0.5163 data_time: 0.0378 memory: 18108 grad_norm: 3.0305 loss: 4.3751 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4983 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8768 2023/02/01 08:07:20 - mmengine - INFO - Epoch(train) [86][ 800/1879] lr: 8.7334e-02 eta: 1 day, 21:13:05 time: 0.5129 data_time: 0.0387 memory: 18108 grad_norm: 3.0974 loss: 4.1886 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3721 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8165 2023/02/01 08:07:30 - mmengine - INFO - Epoch(train) [86][ 820/1879] lr: 8.7329e-02 eta: 1 day, 21:12:54 time: 0.4993 data_time: 0.0381 memory: 18108 grad_norm: 3.0993 loss: 4.4739 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6069 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.8670 2023/02/01 08:07:40 - mmengine - INFO - Epoch(train) [86][ 840/1879] lr: 8.7324e-02 eta: 1 day, 21:12:44 time: 0.5113 data_time: 0.0287 memory: 18108 grad_norm: 3.0912 loss: 4.6967 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 2.6833 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 2.0135 2023/02/01 08:07:50 - mmengine - INFO - Epoch(train) [86][ 860/1879] lr: 8.7319e-02 eta: 1 day, 21:12:34 time: 0.5026 data_time: 0.0358 memory: 18108 grad_norm: 3.0955 loss: 4.4724 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5771 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.8953 2023/02/01 08:08:00 - mmengine - INFO - Epoch(train) [86][ 880/1879] lr: 8.7314e-02 eta: 1 day, 21:12:24 time: 0.5148 data_time: 0.0333 memory: 18108 grad_norm: 3.0633 loss: 4.3890 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5791 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.8099 2023/02/01 08:08:10 - mmengine - INFO - Epoch(train) [86][ 900/1879] lr: 8.7309e-02 eta: 1 day, 21:12:14 time: 0.5043 data_time: 0.0381 memory: 18108 grad_norm: 3.0468 loss: 4.2955 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.5146 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.7808 2023/02/01 08:08:20 - mmengine - INFO - Epoch(train) [86][ 920/1879] lr: 8.7304e-02 eta: 1 day, 21:12:04 time: 0.5024 data_time: 0.0302 memory: 18108 grad_norm: 3.0164 loss: 4.3707 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4090 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.9617 2023/02/01 08:08:31 - mmengine - INFO - Epoch(train) [86][ 940/1879] lr: 8.7299e-02 eta: 1 day, 21:11:53 time: 0.5074 data_time: 0.0453 memory: 18108 grad_norm: 3.1417 loss: 4.4030 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5452 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.8578 2023/02/01 08:08:41 - mmengine - INFO - Epoch(train) [86][ 960/1879] lr: 8.7294e-02 eta: 1 day, 21:11:43 time: 0.4995 data_time: 0.0286 memory: 18108 grad_norm: 3.1293 loss: 4.4038 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5375 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.8663 2023/02/01 08:08:51 - mmengine - INFO - Epoch(train) [86][ 980/1879] lr: 8.7289e-02 eta: 1 day, 21:11:33 time: 0.5064 data_time: 0.0349 memory: 18108 grad_norm: 3.0787 loss: 4.4558 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5152 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.9406 2023/02/01 08:09:01 - mmengine - INFO - Epoch(train) [86][1000/1879] lr: 8.7284e-02 eta: 1 day, 21:11:22 time: 0.5026 data_time: 0.0304 memory: 18108 grad_norm: 3.0587 loss: 4.6181 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7920 top1_acc_1: 0.5765 top5_acc_1: 0.7294 loss_cls_1: 1.8262 2023/02/01 08:09:11 - mmengine - INFO - Epoch(train) [86][1020/1879] lr: 8.7279e-02 eta: 1 day, 21:11:13 time: 0.5224 data_time: 0.0476 memory: 18108 grad_norm: 3.1617 loss: 4.4502 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4872 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.9631 2023/02/01 08:09:21 - mmengine - INFO - Epoch(train) [86][1040/1879] lr: 8.7274e-02 eta: 1 day, 21:11:02 time: 0.4982 data_time: 0.0286 memory: 18108 grad_norm: 3.0875 loss: 4.1637 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.3796 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7841 2023/02/01 08:09:31 - mmengine - INFO - Epoch(train) [86][1060/1879] lr: 8.7269e-02 eta: 1 day, 21:10:52 time: 0.5112 data_time: 0.0390 memory: 18108 grad_norm: 3.0469 loss: 4.3419 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5141 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 1.8277 2023/02/01 08:09:41 - mmengine - INFO - Epoch(train) [86][1080/1879] lr: 8.7264e-02 eta: 1 day, 21:10:41 time: 0.4941 data_time: 0.0338 memory: 18108 grad_norm: 3.0911 loss: 4.7710 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.8112 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9598 2023/02/01 08:09:51 - mmengine - INFO - Epoch(train) [86][1100/1879] lr: 8.7259e-02 eta: 1 day, 21:10:31 time: 0.5080 data_time: 0.0357 memory: 18108 grad_norm: 3.0810 loss: 4.5135 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6086 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9049 2023/02/01 08:10:01 - mmengine - INFO - Epoch(train) [86][1120/1879] lr: 8.7254e-02 eta: 1 day, 21:10:21 time: 0.4966 data_time: 0.0293 memory: 18108 grad_norm: 3.0826 loss: 4.4065 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5853 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 1.8212 2023/02/01 08:10:11 - mmengine - INFO - Epoch(train) [86][1140/1879] lr: 8.7249e-02 eta: 1 day, 21:10:10 time: 0.5037 data_time: 0.0438 memory: 18108 grad_norm: 3.1041 loss: 4.4751 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6662 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.8089 2023/02/01 08:10:22 - mmengine - INFO - Epoch(train) [86][1160/1879] lr: 8.7244e-02 eta: 1 day, 21:10:00 time: 0.5001 data_time: 0.0291 memory: 18108 grad_norm: 3.0754 loss: 4.3808 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5266 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8542 2023/02/01 08:10:32 - mmengine - INFO - Epoch(train) [86][1180/1879] lr: 8.7239e-02 eta: 1 day, 21:09:49 time: 0.4998 data_time: 0.0401 memory: 18108 grad_norm: 3.0900 loss: 4.4648 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5643 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.9004 2023/02/01 08:10:42 - mmengine - INFO - Epoch(train) [86][1200/1879] lr: 8.7234e-02 eta: 1 day, 21:09:39 time: 0.5071 data_time: 0.0300 memory: 18108 grad_norm: 3.0629 loss: 4.3225 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.4142 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9083 2023/02/01 08:10:52 - mmengine - INFO - Epoch(train) [86][1220/1879] lr: 8.7229e-02 eta: 1 day, 21:09:29 time: 0.5063 data_time: 0.0426 memory: 18108 grad_norm: 3.0734 loss: 4.3998 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5363 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.8635 2023/02/01 08:11:02 - mmengine - INFO - Epoch(train) [86][1240/1879] lr: 8.7224e-02 eta: 1 day, 21:09:19 time: 0.5102 data_time: 0.0296 memory: 18108 grad_norm: 2.9808 loss: 4.4741 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.6129 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.8612 2023/02/01 08:11:12 - mmengine - INFO - Epoch(train) [86][1260/1879] lr: 8.7219e-02 eta: 1 day, 21:09:08 time: 0.4981 data_time: 0.0362 memory: 18108 grad_norm: 3.0408 loss: 4.6042 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7642 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.8400 2023/02/01 08:11:22 - mmengine - INFO - Epoch(train) [86][1280/1879] lr: 8.7214e-02 eta: 1 day, 21:08:58 time: 0.5128 data_time: 0.0366 memory: 18108 grad_norm: 3.0531 loss: 4.3417 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4932 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8485 2023/02/01 08:11:25 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 08:11:32 - mmengine - INFO - Epoch(train) [86][1300/1879] lr: 8.7209e-02 eta: 1 day, 21:08:48 time: 0.5104 data_time: 0.0372 memory: 18108 grad_norm: 3.0714 loss: 4.7120 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8214 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.8907 2023/02/01 08:11:42 - mmengine - INFO - Epoch(train) [86][1320/1879] lr: 8.7204e-02 eta: 1 day, 21:08:38 time: 0.4923 data_time: 0.0300 memory: 18108 grad_norm: 3.0670 loss: 4.4624 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5724 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.8900 2023/02/01 08:11:53 - mmengine - INFO - Epoch(train) [86][1340/1879] lr: 8.7199e-02 eta: 1 day, 21:08:28 time: 0.5127 data_time: 0.0369 memory: 18108 grad_norm: 3.0409 loss: 4.5409 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.6752 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.8657 2023/02/01 08:12:03 - mmengine - INFO - Epoch(train) [86][1360/1879] lr: 8.7194e-02 eta: 1 day, 21:08:17 time: 0.5085 data_time: 0.0288 memory: 18108 grad_norm: 3.0529 loss: 4.6617 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7783 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8833 2023/02/01 08:12:13 - mmengine - INFO - Epoch(train) [86][1380/1879] lr: 8.7189e-02 eta: 1 day, 21:08:07 time: 0.5069 data_time: 0.0373 memory: 18108 grad_norm: 2.9615 loss: 4.5179 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.6932 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.8247 2023/02/01 08:12:23 - mmengine - INFO - Epoch(train) [86][1400/1879] lr: 8.7183e-02 eta: 1 day, 21:07:57 time: 0.5030 data_time: 0.0286 memory: 18108 grad_norm: 3.0471 loss: 4.2307 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.4093 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.8214 2023/02/01 08:12:34 - mmengine - INFO - Epoch(train) [86][1420/1879] lr: 8.7178e-02 eta: 1 day, 21:07:48 time: 0.5291 data_time: 0.0433 memory: 18108 grad_norm: 3.0941 loss: 4.4410 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6220 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.8190 2023/02/01 08:12:44 - mmengine - INFO - Epoch(train) [86][1440/1879] lr: 8.7173e-02 eta: 1 day, 21:07:37 time: 0.5004 data_time: 0.0286 memory: 18108 grad_norm: 3.0130 loss: 4.6454 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7648 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.8807 2023/02/01 08:12:54 - mmengine - INFO - Epoch(train) [86][1460/1879] lr: 8.7168e-02 eta: 1 day, 21:07:27 time: 0.4959 data_time: 0.0388 memory: 18108 grad_norm: 3.1229 loss: 4.2641 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.4751 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.7890 2023/02/01 08:13:04 - mmengine - INFO - Epoch(train) [86][1480/1879] lr: 8.7163e-02 eta: 1 day, 21:07:17 time: 0.5205 data_time: 0.0362 memory: 18108 grad_norm: 3.0560 loss: 4.5205 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6320 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.8885 2023/02/01 08:13:15 - mmengine - INFO - Epoch(train) [86][1500/1879] lr: 8.7158e-02 eta: 1 day, 21:07:07 time: 0.5281 data_time: 0.0362 memory: 18108 grad_norm: 3.0889 loss: 4.6347 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6899 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.9448 2023/02/01 08:13:25 - mmengine - INFO - Epoch(train) [86][1520/1879] lr: 8.7153e-02 eta: 1 day, 21:06:57 time: 0.5077 data_time: 0.0301 memory: 18108 grad_norm: 3.0566 loss: 4.2737 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.4376 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.8361 2023/02/01 08:13:35 - mmengine - INFO - Epoch(train) [86][1540/1879] lr: 8.7148e-02 eta: 1 day, 21:06:48 time: 0.5230 data_time: 0.0385 memory: 18108 grad_norm: 3.1464 loss: 4.5479 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6698 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8780 2023/02/01 08:13:46 - mmengine - INFO - Epoch(train) [86][1560/1879] lr: 8.7143e-02 eta: 1 day, 21:06:39 time: 0.5405 data_time: 0.0283 memory: 18108 grad_norm: 3.0710 loss: 4.6216 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7712 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.8504 2023/02/01 08:13:56 - mmengine - INFO - Epoch(train) [86][1580/1879] lr: 8.7138e-02 eta: 1 day, 21:06:29 time: 0.5130 data_time: 0.0355 memory: 18108 grad_norm: 2.9968 loss: 4.4730 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6091 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.8639 2023/02/01 08:14:06 - mmengine - INFO - Epoch(train) [86][1600/1879] lr: 8.7133e-02 eta: 1 day, 21:06:19 time: 0.5071 data_time: 0.0312 memory: 18108 grad_norm: 3.0796 loss: 4.4652 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 2.5827 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.8825 2023/02/01 08:14:17 - mmengine - INFO - Epoch(train) [86][1620/1879] lr: 8.7128e-02 eta: 1 day, 21:06:10 time: 0.5343 data_time: 0.0472 memory: 18108 grad_norm: 3.0533 loss: 4.4776 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5902 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.8874 2023/02/01 08:14:27 - mmengine - INFO - Epoch(train) [86][1640/1879] lr: 8.7123e-02 eta: 1 day, 21:06:00 time: 0.5086 data_time: 0.0302 memory: 18108 grad_norm: 3.0640 loss: 4.6236 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.7892 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8344 2023/02/01 08:14:37 - mmengine - INFO - Epoch(train) [86][1660/1879] lr: 8.7118e-02 eta: 1 day, 21:05:49 time: 0.5063 data_time: 0.0379 memory: 18108 grad_norm: 3.0469 loss: 4.4140 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5143 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.8997 2023/02/01 08:14:48 - mmengine - INFO - Epoch(train) [86][1680/1879] lr: 8.7113e-02 eta: 1 day, 21:05:39 time: 0.5150 data_time: 0.0411 memory: 18108 grad_norm: 3.0301 loss: 4.4068 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5297 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8771 2023/02/01 08:14:59 - mmengine - INFO - Epoch(train) [86][1700/1879] lr: 8.7108e-02 eta: 1 day, 21:05:31 time: 0.5636 data_time: 0.0375 memory: 18108 grad_norm: 3.0922 loss: 4.4959 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5754 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9205 2023/02/01 08:15:09 - mmengine - INFO - Epoch(train) [86][1720/1879] lr: 8.7103e-02 eta: 1 day, 21:05:21 time: 0.5113 data_time: 0.0303 memory: 18108 grad_norm: 3.0802 loss: 4.5093 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5785 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.9309 2023/02/01 08:15:19 - mmengine - INFO - Epoch(train) [86][1740/1879] lr: 8.7098e-02 eta: 1 day, 21:05:11 time: 0.5098 data_time: 0.0367 memory: 18108 grad_norm: 3.0339 loss: 4.6650 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7524 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.9126 2023/02/01 08:15:30 - mmengine - INFO - Epoch(train) [86][1760/1879] lr: 8.7093e-02 eta: 1 day, 21:05:02 time: 0.5389 data_time: 0.0357 memory: 18108 grad_norm: 3.0690 loss: 4.6346 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.8130 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8216 2023/02/01 08:15:41 - mmengine - INFO - Epoch(train) [86][1780/1879] lr: 8.7088e-02 eta: 1 day, 21:04:53 time: 0.5180 data_time: 0.0378 memory: 18108 grad_norm: 3.1481 loss: 4.3473 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4013 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.9460 2023/02/01 08:15:51 - mmengine - INFO - Epoch(train) [86][1800/1879] lr: 8.7083e-02 eta: 1 day, 21:04:42 time: 0.5063 data_time: 0.0308 memory: 18108 grad_norm: 3.1188 loss: 4.3057 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5015 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.8042 2023/02/01 08:16:01 - mmengine - INFO - Epoch(train) [86][1820/1879] lr: 8.7078e-02 eta: 1 day, 21:04:33 time: 0.5332 data_time: 0.0407 memory: 18108 grad_norm: 3.0739 loss: 4.4210 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4486 top1_acc_1: 0.4588 top5_acc_1: 0.6941 loss_cls_1: 1.9723 2023/02/01 08:16:12 - mmengine - INFO - Epoch(train) [86][1840/1879] lr: 8.7073e-02 eta: 1 day, 21:04:23 time: 0.5158 data_time: 0.0336 memory: 18108 grad_norm: 3.0864 loss: 4.4918 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6206 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.8712 2023/02/01 08:16:22 - mmengine - INFO - Epoch(train) [86][1860/1879] lr: 8.7067e-02 eta: 1 day, 21:04:13 time: 0.5104 data_time: 0.0347 memory: 18108 grad_norm: 3.0568 loss: 4.3246 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4491 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8755 2023/02/01 08:16:31 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 08:16:31 - mmengine - INFO - Epoch(train) [86][1879/1879] lr: 8.7063e-02 eta: 1 day, 21:04:03 time: 0.4968 data_time: 0.0296 memory: 18108 grad_norm: 3.1755 loss: 4.6203 top1_acc_0: 0.5714 top5_acc_0: 0.7143 loss_cls_0: 2.7079 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 1.9124 2023/02/01 08:16:46 - mmengine - INFO - Epoch(train) [87][ 20/1879] lr: 8.7058e-02 eta: 1 day, 21:04:01 time: 0.7142 data_time: 0.2436 memory: 18108 grad_norm: 3.0055 loss: 4.1501 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4268 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.7233 2023/02/01 08:16:56 - mmengine - INFO - Epoch(train) [87][ 40/1879] lr: 8.7053e-02 eta: 1 day, 21:03:50 time: 0.4729 data_time: 0.0348 memory: 18108 grad_norm: 3.0428 loss: 4.5438 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7933 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.7504 2023/02/01 08:17:05 - mmengine - INFO - Epoch(train) [87][ 60/1879] lr: 8.7047e-02 eta: 1 day, 21:03:38 time: 0.4781 data_time: 0.0368 memory: 18108 grad_norm: 3.0509 loss: 4.2159 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4145 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.8013 2023/02/01 08:17:16 - mmengine - INFO - Epoch(train) [87][ 80/1879] lr: 8.7042e-02 eta: 1 day, 21:03:29 time: 0.5252 data_time: 0.0325 memory: 18108 grad_norm: 3.0847 loss: 4.6616 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7083 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.9533 2023/02/01 08:17:26 - mmengine - INFO - Epoch(train) [87][ 100/1879] lr: 8.7037e-02 eta: 1 day, 21:03:18 time: 0.4806 data_time: 0.0372 memory: 18108 grad_norm: 3.1462 loss: 4.4500 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.6785 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7714 2023/02/01 08:17:35 - mmengine - INFO - Epoch(train) [87][ 120/1879] lr: 8.7032e-02 eta: 1 day, 21:03:06 time: 0.4752 data_time: 0.0355 memory: 18108 grad_norm: 3.0144 loss: 4.3647 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.4975 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.8672 2023/02/01 08:17:45 - mmengine - INFO - Epoch(train) [87][ 140/1879] lr: 8.7027e-02 eta: 1 day, 21:02:56 time: 0.4998 data_time: 0.0356 memory: 18108 grad_norm: 3.0552 loss: 4.2698 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.4616 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.8082 2023/02/01 08:17:55 - mmengine - INFO - Epoch(train) [87][ 160/1879] lr: 8.7022e-02 eta: 1 day, 21:02:45 time: 0.5042 data_time: 0.0394 memory: 18108 grad_norm: 2.9783 loss: 4.2876 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.4713 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.8163 2023/02/01 08:18:05 - mmengine - INFO - Epoch(train) [87][ 180/1879] lr: 8.7017e-02 eta: 1 day, 21:02:34 time: 0.4816 data_time: 0.0360 memory: 18108 grad_norm: 3.0697 loss: 4.6533 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7815 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.8718 2023/02/01 08:18:14 - mmengine - INFO - Epoch(train) [87][ 200/1879] lr: 8.7012e-02 eta: 1 day, 21:02:23 time: 0.4748 data_time: 0.0316 memory: 18108 grad_norm: 3.0669 loss: 4.3693 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5701 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7991 2023/02/01 08:18:24 - mmengine - INFO - Epoch(train) [87][ 220/1879] lr: 8.7007e-02 eta: 1 day, 21:02:12 time: 0.5024 data_time: 0.0350 memory: 18108 grad_norm: 3.0531 loss: 4.5520 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6387 top1_acc_1: 0.6118 top5_acc_1: 0.7412 loss_cls_1: 1.9133 2023/02/01 08:18:34 - mmengine - INFO - Epoch(train) [87][ 240/1879] lr: 8.7002e-02 eta: 1 day, 21:02:02 time: 0.4926 data_time: 0.0340 memory: 18108 grad_norm: 3.0438 loss: 4.4756 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5988 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.8768 2023/02/01 08:18:44 - mmengine - INFO - Epoch(train) [87][ 260/1879] lr: 8.6997e-02 eta: 1 day, 21:01:51 time: 0.4888 data_time: 0.0365 memory: 18108 grad_norm: 3.0776 loss: 4.7043 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7852 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.9191 2023/02/01 08:18:54 - mmengine - INFO - Epoch(train) [87][ 280/1879] lr: 8.6992e-02 eta: 1 day, 21:01:40 time: 0.4836 data_time: 0.0335 memory: 18108 grad_norm: 3.0804 loss: 4.4312 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6293 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.8020 2023/02/01 08:19:04 - mmengine - INFO - Epoch(train) [87][ 300/1879] lr: 8.6987e-02 eta: 1 day, 21:01:29 time: 0.4926 data_time: 0.0418 memory: 18108 grad_norm: 3.0740 loss: 4.4167 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.7157 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.7010 2023/02/01 08:19:13 - mmengine - INFO - Epoch(train) [87][ 320/1879] lr: 8.6982e-02 eta: 1 day, 21:01:17 time: 0.4788 data_time: 0.0332 memory: 18108 grad_norm: 3.0258 loss: 4.2030 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3929 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.8101 2023/02/01 08:19:23 - mmengine - INFO - Epoch(train) [87][ 340/1879] lr: 8.6977e-02 eta: 1 day, 21:01:07 time: 0.4906 data_time: 0.0340 memory: 18108 grad_norm: 2.9855 loss: 4.2062 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3932 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.8129 2023/02/01 08:19:33 - mmengine - INFO - Epoch(train) [87][ 360/1879] lr: 8.6972e-02 eta: 1 day, 21:00:56 time: 0.4884 data_time: 0.0323 memory: 18108 grad_norm: 3.1248 loss: 4.1776 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3252 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8523 2023/02/01 08:19:43 - mmengine - INFO - Epoch(train) [87][ 380/1879] lr: 8.6966e-02 eta: 1 day, 21:00:45 time: 0.4914 data_time: 0.0369 memory: 18108 grad_norm: 3.1298 loss: 4.2749 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.4665 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8084 2023/02/01 08:19:52 - mmengine - INFO - Epoch(train) [87][ 400/1879] lr: 8.6961e-02 eta: 1 day, 21:00:34 time: 0.4929 data_time: 0.0318 memory: 18108 grad_norm: 3.1287 loss: 4.5554 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 2.6903 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8650 2023/02/01 08:19:55 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 08:20:02 - mmengine - INFO - Epoch(train) [87][ 420/1879] lr: 8.6956e-02 eta: 1 day, 21:00:23 time: 0.4951 data_time: 0.0347 memory: 18108 grad_norm: 3.0640 loss: 4.4894 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6742 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.8152 2023/02/01 08:20:12 - mmengine - INFO - Epoch(train) [87][ 440/1879] lr: 8.6951e-02 eta: 1 day, 21:00:13 time: 0.4888 data_time: 0.0325 memory: 18108 grad_norm: 3.0682 loss: 4.3878 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5984 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.7894 2023/02/01 08:20:22 - mmengine - INFO - Epoch(train) [87][ 460/1879] lr: 8.6946e-02 eta: 1 day, 21:00:02 time: 0.4973 data_time: 0.0353 memory: 18108 grad_norm: 3.0333 loss: 4.3942 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5925 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.8017 2023/02/01 08:20:32 - mmengine - INFO - Epoch(train) [87][ 480/1879] lr: 8.6941e-02 eta: 1 day, 20:59:52 time: 0.5057 data_time: 0.0321 memory: 18108 grad_norm: 3.0468 loss: 4.3668 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5282 top1_acc_1: 0.4706 top5_acc_1: 0.7882 loss_cls_1: 1.8386 2023/02/01 08:20:42 - mmengine - INFO - Epoch(train) [87][ 500/1879] lr: 8.6936e-02 eta: 1 day, 20:59:41 time: 0.4969 data_time: 0.0351 memory: 18108 grad_norm: 3.1311 loss: 4.4456 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6730 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.7726 2023/02/01 08:20:52 - mmengine - INFO - Epoch(train) [87][ 520/1879] lr: 8.6931e-02 eta: 1 day, 20:59:30 time: 0.4883 data_time: 0.0363 memory: 18108 grad_norm: 3.0578 loss: 4.5680 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7666 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.8014 2023/02/01 08:21:02 - mmengine - INFO - Epoch(train) [87][ 540/1879] lr: 8.6926e-02 eta: 1 day, 20:59:20 time: 0.5086 data_time: 0.0373 memory: 18108 grad_norm: 3.0548 loss: 4.4836 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.5190 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 1.9646 2023/02/01 08:21:12 - mmengine - INFO - Epoch(train) [87][ 560/1879] lr: 8.6921e-02 eta: 1 day, 20:59:09 time: 0.4964 data_time: 0.0337 memory: 18108 grad_norm: 3.0790 loss: 4.6262 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6803 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.9459 2023/02/01 08:21:22 - mmengine - INFO - Epoch(train) [87][ 580/1879] lr: 8.6916e-02 eta: 1 day, 20:58:59 time: 0.5002 data_time: 0.0357 memory: 18108 grad_norm: 3.0612 loss: 4.5182 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5851 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.9331 2023/02/01 08:21:32 - mmengine - INFO - Epoch(train) [87][ 600/1879] lr: 8.6911e-02 eta: 1 day, 20:58:48 time: 0.4900 data_time: 0.0398 memory: 18108 grad_norm: 3.0411 loss: 4.6224 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6578 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.9645 2023/02/01 08:21:42 - mmengine - INFO - Epoch(train) [87][ 620/1879] lr: 8.6906e-02 eta: 1 day, 20:58:38 time: 0.5079 data_time: 0.0350 memory: 18108 grad_norm: 3.1056 loss: 4.1635 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4213 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7423 2023/02/01 08:21:52 - mmengine - INFO - Epoch(train) [87][ 640/1879] lr: 8.6900e-02 eta: 1 day, 20:58:27 time: 0.4885 data_time: 0.0336 memory: 18108 grad_norm: 3.1491 loss: 4.5060 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6044 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.9016 2023/02/01 08:22:02 - mmengine - INFO - Epoch(train) [87][ 660/1879] lr: 8.6895e-02 eta: 1 day, 20:58:17 time: 0.4980 data_time: 0.0363 memory: 18108 grad_norm: 3.0627 loss: 4.5144 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7005 top1_acc_1: 0.6118 top5_acc_1: 0.7412 loss_cls_1: 1.8139 2023/02/01 08:22:12 - mmengine - INFO - Epoch(train) [87][ 680/1879] lr: 8.6890e-02 eta: 1 day, 20:58:06 time: 0.5040 data_time: 0.0414 memory: 18108 grad_norm: 3.1348 loss: 4.2086 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4196 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7889 2023/02/01 08:22:22 - mmengine - INFO - Epoch(train) [87][ 700/1879] lr: 8.6885e-02 eta: 1 day, 20:57:56 time: 0.4934 data_time: 0.0357 memory: 18108 grad_norm: 3.1183 loss: 4.4525 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6730 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.7796 2023/02/01 08:22:32 - mmengine - INFO - Epoch(train) [87][ 720/1879] lr: 8.6880e-02 eta: 1 day, 20:57:45 time: 0.4902 data_time: 0.0341 memory: 18108 grad_norm: 3.0761 loss: 4.7417 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7299 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 2.0117 2023/02/01 08:22:42 - mmengine - INFO - Epoch(train) [87][ 740/1879] lr: 8.6875e-02 eta: 1 day, 20:57:34 time: 0.5070 data_time: 0.0356 memory: 18108 grad_norm: 3.0569 loss: 4.3350 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4651 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8699 2023/02/01 08:22:52 - mmengine - INFO - Epoch(train) [87][ 760/1879] lr: 8.6870e-02 eta: 1 day, 20:57:24 time: 0.4892 data_time: 0.0338 memory: 18108 grad_norm: 3.1104 loss: 4.4443 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6485 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.7958 2023/02/01 08:23:01 - mmengine - INFO - Epoch(train) [87][ 780/1879] lr: 8.6865e-02 eta: 1 day, 20:57:13 time: 0.4938 data_time: 0.0362 memory: 18108 grad_norm: 3.1147 loss: 4.3213 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4772 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8441 2023/02/01 08:23:11 - mmengine - INFO - Epoch(train) [87][ 800/1879] lr: 8.6860e-02 eta: 1 day, 20:57:02 time: 0.4989 data_time: 0.0341 memory: 18108 grad_norm: 3.1139 loss: 4.7988 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8455 top1_acc_1: 0.5529 top5_acc_1: 0.7059 loss_cls_1: 1.9533 2023/02/01 08:23:22 - mmengine - INFO - Epoch(train) [87][ 820/1879] lr: 8.6855e-02 eta: 1 day, 20:56:52 time: 0.5058 data_time: 0.0372 memory: 18108 grad_norm: 3.0704 loss: 4.2688 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.3215 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.9473 2023/02/01 08:23:31 - mmengine - INFO - Epoch(train) [87][ 840/1879] lr: 8.6850e-02 eta: 1 day, 20:56:41 time: 0.4889 data_time: 0.0326 memory: 18108 grad_norm: 3.0773 loss: 4.4721 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5802 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.8919 2023/02/01 08:23:41 - mmengine - INFO - Epoch(train) [87][ 860/1879] lr: 8.6845e-02 eta: 1 day, 20:56:31 time: 0.5012 data_time: 0.0347 memory: 18108 grad_norm: 3.1119 loss: 4.4420 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5934 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8486 2023/02/01 08:23:51 - mmengine - INFO - Epoch(train) [87][ 880/1879] lr: 8.6839e-02 eta: 1 day, 20:56:20 time: 0.5003 data_time: 0.0334 memory: 18108 grad_norm: 3.0881 loss: 4.1471 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3759 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.7712 2023/02/01 08:24:02 - mmengine - INFO - Epoch(train) [87][ 900/1879] lr: 8.6834e-02 eta: 1 day, 20:56:10 time: 0.5098 data_time: 0.0373 memory: 18108 grad_norm: 3.0977 loss: 4.4874 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6569 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8305 2023/02/01 08:24:11 - mmengine - INFO - Epoch(train) [87][ 920/1879] lr: 8.6829e-02 eta: 1 day, 20:55:59 time: 0.4830 data_time: 0.0318 memory: 18108 grad_norm: 3.0877 loss: 4.2940 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.5247 top1_acc_1: 0.6118 top5_acc_1: 0.7529 loss_cls_1: 1.7692 2023/02/01 08:24:22 - mmengine - INFO - Epoch(train) [87][ 940/1879] lr: 8.6824e-02 eta: 1 day, 20:55:50 time: 0.5239 data_time: 0.0357 memory: 18108 grad_norm: 3.0791 loss: 4.4357 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5537 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8820 2023/02/01 08:24:32 - mmengine - INFO - Epoch(train) [87][ 960/1879] lr: 8.6819e-02 eta: 1 day, 20:55:39 time: 0.4878 data_time: 0.0330 memory: 18108 grad_norm: 3.0921 loss: 4.5670 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7778 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.7892 2023/02/01 08:24:42 - mmengine - INFO - Epoch(train) [87][ 980/1879] lr: 8.6814e-02 eta: 1 day, 20:55:28 time: 0.5013 data_time: 0.0362 memory: 18108 grad_norm: 3.0205 loss: 4.4710 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5810 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8900 2023/02/01 08:24:51 - mmengine - INFO - Epoch(train) [87][1000/1879] lr: 8.6809e-02 eta: 1 day, 20:55:17 time: 0.4841 data_time: 0.0338 memory: 18108 grad_norm: 3.0744 loss: 4.3917 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5491 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.8426 2023/02/01 08:25:02 - mmengine - INFO - Epoch(train) [87][1020/1879] lr: 8.6804e-02 eta: 1 day, 20:55:08 time: 0.5224 data_time: 0.0353 memory: 18108 grad_norm: 3.1078 loss: 4.5879 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6276 top1_acc_1: 0.4353 top5_acc_1: 0.7647 loss_cls_1: 1.9602 2023/02/01 08:25:12 - mmengine - INFO - Epoch(train) [87][1040/1879] lr: 8.6799e-02 eta: 1 day, 20:54:57 time: 0.4887 data_time: 0.0343 memory: 18108 grad_norm: 3.0715 loss: 4.1986 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4086 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7900 2023/02/01 08:25:22 - mmengine - INFO - Epoch(train) [87][1060/1879] lr: 8.6794e-02 eta: 1 day, 20:54:46 time: 0.5005 data_time: 0.0351 memory: 18108 grad_norm: 3.0730 loss: 4.4682 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5860 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.8822 2023/02/01 08:25:32 - mmengine - INFO - Epoch(train) [87][1080/1879] lr: 8.6788e-02 eta: 1 day, 20:54:36 time: 0.5086 data_time: 0.0328 memory: 18108 grad_norm: 3.0926 loss: 4.4439 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5298 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.9140 2023/02/01 08:25:42 - mmengine - INFO - Epoch(train) [87][1100/1879] lr: 8.6783e-02 eta: 1 day, 20:54:26 time: 0.5098 data_time: 0.0371 memory: 18108 grad_norm: 3.0754 loss: 4.5492 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6606 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8886 2023/02/01 08:25:52 - mmengine - INFO - Epoch(train) [87][1120/1879] lr: 8.6778e-02 eta: 1 day, 20:54:15 time: 0.4833 data_time: 0.0331 memory: 18108 grad_norm: 3.0990 loss: 4.4497 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5965 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.8533 2023/02/01 08:26:02 - mmengine - INFO - Epoch(train) [87][1140/1879] lr: 8.6773e-02 eta: 1 day, 20:54:04 time: 0.4998 data_time: 0.0429 memory: 18108 grad_norm: 3.0323 loss: 4.2313 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3990 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8324 2023/02/01 08:26:12 - mmengine - INFO - Epoch(train) [87][1160/1879] lr: 8.6768e-02 eta: 1 day, 20:53:54 time: 0.5044 data_time: 0.0336 memory: 18108 grad_norm: 3.1041 loss: 4.3139 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5399 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.7741 2023/02/01 08:26:22 - mmengine - INFO - Epoch(train) [87][1180/1879] lr: 8.6763e-02 eta: 1 day, 20:53:44 time: 0.5093 data_time: 0.0368 memory: 18108 grad_norm: 2.9718 loss: 4.3606 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5239 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.8368 2023/02/01 08:26:32 - mmengine - INFO - Epoch(train) [87][1200/1879] lr: 8.6758e-02 eta: 1 day, 20:53:33 time: 0.4929 data_time: 0.0364 memory: 18108 grad_norm: 3.0012 loss: 4.5277 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6279 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8998 2023/02/01 08:26:42 - mmengine - INFO - Epoch(train) [87][1220/1879] lr: 8.6753e-02 eta: 1 day, 20:53:23 time: 0.5123 data_time: 0.0359 memory: 18108 grad_norm: 3.0854 loss: 4.6679 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8040 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8639 2023/02/01 08:26:52 - mmengine - INFO - Epoch(train) [87][1240/1879] lr: 8.6748e-02 eta: 1 day, 20:53:13 time: 0.4989 data_time: 0.0327 memory: 18108 grad_norm: 3.0638 loss: 4.4430 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.6069 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.8361 2023/02/01 08:27:02 - mmengine - INFO - Epoch(train) [87][1260/1879] lr: 8.6743e-02 eta: 1 day, 20:53:03 time: 0.5083 data_time: 0.0341 memory: 18108 grad_norm: 3.0624 loss: 4.6714 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7744 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.8970 2023/02/01 08:27:13 - mmengine - INFO - Epoch(train) [87][1280/1879] lr: 8.6737e-02 eta: 1 day, 20:52:53 time: 0.5160 data_time: 0.0335 memory: 18108 grad_norm: 3.0369 loss: 4.3518 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4339 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9179 2023/02/01 08:27:23 - mmengine - INFO - Epoch(train) [87][1300/1879] lr: 8.6732e-02 eta: 1 day, 20:52:44 time: 0.5332 data_time: 0.0409 memory: 18108 grad_norm: 3.0596 loss: 4.3177 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4769 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.8408 2023/02/01 08:27:34 - mmengine - INFO - Epoch(train) [87][1320/1879] lr: 8.6727e-02 eta: 1 day, 20:52:34 time: 0.5220 data_time: 0.0333 memory: 18108 grad_norm: 3.1042 loss: 4.1580 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3285 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.8295 2023/02/01 08:27:44 - mmengine - INFO - Epoch(train) [87][1340/1879] lr: 8.6722e-02 eta: 1 day, 20:52:24 time: 0.5233 data_time: 0.0335 memory: 18108 grad_norm: 3.1148 loss: 4.3523 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5191 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8332 2023/02/01 08:27:55 - mmengine - INFO - Epoch(train) [87][1360/1879] lr: 8.6717e-02 eta: 1 day, 20:52:15 time: 0.5212 data_time: 0.0311 memory: 18108 grad_norm: 3.1408 loss: 4.3215 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4762 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8453 2023/02/01 08:28:05 - mmengine - INFO - Epoch(train) [87][1380/1879] lr: 8.6712e-02 eta: 1 day, 20:52:05 time: 0.5235 data_time: 0.0414 memory: 18108 grad_norm: 3.0588 loss: 4.4243 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6111 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 1.8132 2023/02/01 08:28:15 - mmengine - INFO - Epoch(train) [87][1400/1879] lr: 8.6707e-02 eta: 1 day, 20:51:56 time: 0.5185 data_time: 0.0309 memory: 18108 grad_norm: 3.0998 loss: 4.3692 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.4992 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.8699 2023/02/01 08:28:19 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 08:28:26 - mmengine - INFO - Epoch(train) [87][1420/1879] lr: 8.6702e-02 eta: 1 day, 20:51:46 time: 0.5156 data_time: 0.0351 memory: 18108 grad_norm: 3.1268 loss: 4.5505 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5514 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 1.9991 2023/02/01 08:28:36 - mmengine - INFO - Epoch(train) [87][1440/1879] lr: 8.6697e-02 eta: 1 day, 20:51:36 time: 0.5285 data_time: 0.0399 memory: 18108 grad_norm: 3.0870 loss: 4.2869 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3418 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 1.9451 2023/02/01 08:28:47 - mmengine - INFO - Epoch(train) [87][1460/1879] lr: 8.6691e-02 eta: 1 day, 20:51:27 time: 0.5233 data_time: 0.0338 memory: 18108 grad_norm: 3.0512 loss: 4.4165 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6020 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.8144 2023/02/01 08:28:57 - mmengine - INFO - Epoch(train) [87][1480/1879] lr: 8.6686e-02 eta: 1 day, 20:51:17 time: 0.5188 data_time: 0.0317 memory: 18108 grad_norm: 3.1201 loss: 4.5762 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6767 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.8995 2023/02/01 08:29:08 - mmengine - INFO - Epoch(train) [87][1500/1879] lr: 8.6681e-02 eta: 1 day, 20:51:07 time: 0.5197 data_time: 0.0338 memory: 18108 grad_norm: 3.0564 loss: 4.4633 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.6446 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.8187 2023/02/01 08:29:18 - mmengine - INFO - Epoch(train) [87][1520/1879] lr: 8.6676e-02 eta: 1 day, 20:50:57 time: 0.5123 data_time: 0.0326 memory: 18108 grad_norm: 3.1190 loss: 4.4503 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5514 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.8989 2023/02/01 08:29:28 - mmengine - INFO - Epoch(train) [87][1540/1879] lr: 8.6671e-02 eta: 1 day, 20:50:48 time: 0.5218 data_time: 0.0349 memory: 18108 grad_norm: 3.0462 loss: 4.5647 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6826 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.8821 2023/02/01 08:29:39 - mmengine - INFO - Epoch(train) [87][1560/1879] lr: 8.6666e-02 eta: 1 day, 20:50:38 time: 0.5186 data_time: 0.0361 memory: 18108 grad_norm: 3.0365 loss: 4.3547 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5099 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8447 2023/02/01 08:29:49 - mmengine - INFO - Epoch(train) [87][1580/1879] lr: 8.6661e-02 eta: 1 day, 20:50:28 time: 0.5185 data_time: 0.0290 memory: 18108 grad_norm: 3.0571 loss: 4.5117 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5829 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9288 2023/02/01 08:29:59 - mmengine - INFO - Epoch(train) [87][1600/1879] lr: 8.6656e-02 eta: 1 day, 20:50:18 time: 0.5148 data_time: 0.0446 memory: 18108 grad_norm: 3.0387 loss: 4.1896 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4317 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7580 2023/02/01 08:30:10 - mmengine - INFO - Epoch(train) [87][1620/1879] lr: 8.6650e-02 eta: 1 day, 20:50:09 time: 0.5154 data_time: 0.0292 memory: 18108 grad_norm: 3.1054 loss: 4.6127 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7051 top1_acc_1: 0.4353 top5_acc_1: 0.7059 loss_cls_1: 1.9076 2023/02/01 08:30:20 - mmengine - INFO - Epoch(train) [87][1640/1879] lr: 8.6645e-02 eta: 1 day, 20:49:59 time: 0.5154 data_time: 0.0404 memory: 18108 grad_norm: 3.1020 loss: 4.3343 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5183 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8160 2023/02/01 08:30:31 - mmengine - INFO - Epoch(train) [87][1660/1879] lr: 8.6640e-02 eta: 1 day, 20:49:49 time: 0.5222 data_time: 0.0359 memory: 18108 grad_norm: 3.0609 loss: 4.5755 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6447 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.9307 2023/02/01 08:30:41 - mmengine - INFO - Epoch(train) [87][1680/1879] lr: 8.6635e-02 eta: 1 day, 20:49:39 time: 0.5206 data_time: 0.0377 memory: 18108 grad_norm: 3.0681 loss: 4.4694 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6283 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.8411 2023/02/01 08:30:51 - mmengine - INFO - Epoch(train) [87][1700/1879] lr: 8.6630e-02 eta: 1 day, 20:49:30 time: 0.5265 data_time: 0.0307 memory: 18108 grad_norm: 3.0455 loss: 4.4454 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5411 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.9043 2023/02/01 08:31:02 - mmengine - INFO - Epoch(train) [87][1720/1879] lr: 8.6625e-02 eta: 1 day, 20:49:20 time: 0.5065 data_time: 0.0442 memory: 18108 grad_norm: 3.0964 loss: 4.5161 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5961 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.9200 2023/02/01 08:31:12 - mmengine - INFO - Epoch(train) [87][1740/1879] lr: 8.6620e-02 eta: 1 day, 20:49:10 time: 0.5197 data_time: 0.0299 memory: 18108 grad_norm: 3.0163 loss: 4.5436 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7207 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8229 2023/02/01 08:31:23 - mmengine - INFO - Epoch(train) [87][1760/1879] lr: 8.6615e-02 eta: 1 day, 20:49:01 time: 0.5308 data_time: 0.0356 memory: 18108 grad_norm: 3.0557 loss: 4.6150 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7408 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8742 2023/02/01 08:31:33 - mmengine - INFO - Epoch(train) [87][1780/1879] lr: 8.6609e-02 eta: 1 day, 20:48:51 time: 0.5097 data_time: 0.0305 memory: 18108 grad_norm: 3.0230 loss: 4.4704 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6457 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8247 2023/02/01 08:31:43 - mmengine - INFO - Epoch(train) [87][1800/1879] lr: 8.6604e-02 eta: 1 day, 20:48:41 time: 0.5231 data_time: 0.0454 memory: 18108 grad_norm: 2.9940 loss: 4.4266 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5775 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.8491 2023/02/01 08:31:54 - mmengine - INFO - Epoch(train) [87][1820/1879] lr: 8.6599e-02 eta: 1 day, 20:48:32 time: 0.5215 data_time: 0.0293 memory: 18108 grad_norm: 3.1034 loss: 4.4016 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4884 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9132 2023/02/01 08:32:04 - mmengine - INFO - Epoch(train) [87][1840/1879] lr: 8.6594e-02 eta: 1 day, 20:48:22 time: 0.5115 data_time: 0.0364 memory: 18108 grad_norm: 3.0728 loss: 4.4649 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5611 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9037 2023/02/01 08:32:14 - mmengine - INFO - Epoch(train) [87][1860/1879] lr: 8.6589e-02 eta: 1 day, 20:48:12 time: 0.5178 data_time: 0.0304 memory: 18108 grad_norm: 3.0800 loss: 4.4217 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4699 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.9517 2023/02/01 08:32:24 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 08:32:24 - mmengine - INFO - Epoch(train) [87][1879/1879] lr: 8.6584e-02 eta: 1 day, 20:48:01 time: 0.4922 data_time: 0.0312 memory: 18108 grad_norm: 3.0854 loss: 4.6588 top1_acc_0: 0.1429 top5_acc_0: 0.1429 loss_cls_0: 2.6875 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.9713 2023/02/01 08:32:39 - mmengine - INFO - Epoch(train) [88][ 20/1879] lr: 8.6579e-02 eta: 1 day, 20:47:59 time: 0.7151 data_time: 0.2567 memory: 18108 grad_norm: 3.1003 loss: 4.5915 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7593 top1_acc_1: 0.5647 top5_acc_1: 0.7176 loss_cls_1: 1.8322 2023/02/01 08:32:48 - mmengine - INFO - Epoch(train) [88][ 40/1879] lr: 8.6574e-02 eta: 1 day, 20:47:48 time: 0.4723 data_time: 0.0336 memory: 18108 grad_norm: 3.0497 loss: 4.1864 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3891 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7973 2023/02/01 08:32:58 - mmengine - INFO - Epoch(train) [88][ 60/1879] lr: 8.6569e-02 eta: 1 day, 20:47:37 time: 0.4867 data_time: 0.0341 memory: 18108 grad_norm: 3.0565 loss: 4.2959 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5148 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7811 2023/02/01 08:33:08 - mmengine - INFO - Epoch(train) [88][ 80/1879] lr: 8.6563e-02 eta: 1 day, 20:47:27 time: 0.5240 data_time: 0.0405 memory: 18108 grad_norm: 3.0807 loss: 4.2594 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.4142 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.8452 2023/02/01 08:33:18 - mmengine - INFO - Epoch(train) [88][ 100/1879] lr: 8.6558e-02 eta: 1 day, 20:47:16 time: 0.4914 data_time: 0.0357 memory: 18108 grad_norm: 3.0557 loss: 4.2695 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5551 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7143 2023/02/01 08:33:28 - mmengine - INFO - Epoch(train) [88][ 120/1879] lr: 8.6553e-02 eta: 1 day, 20:47:05 time: 0.4734 data_time: 0.0327 memory: 18108 grad_norm: 3.0513 loss: 4.3170 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.5305 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.7865 2023/02/01 08:33:38 - mmengine - INFO - Epoch(train) [88][ 140/1879] lr: 8.6548e-02 eta: 1 day, 20:46:55 time: 0.5046 data_time: 0.0354 memory: 18108 grad_norm: 3.0478 loss: 4.3321 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5023 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8298 2023/02/01 08:33:48 - mmengine - INFO - Epoch(train) [88][ 160/1879] lr: 8.6543e-02 eta: 1 day, 20:46:44 time: 0.5037 data_time: 0.0412 memory: 18108 grad_norm: 3.0974 loss: 4.2038 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.3636 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.8402 2023/02/01 08:33:58 - mmengine - INFO - Epoch(train) [88][ 180/1879] lr: 8.6538e-02 eta: 1 day, 20:46:34 time: 0.4915 data_time: 0.0356 memory: 18108 grad_norm: 3.0486 loss: 4.5979 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7549 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8431 2023/02/01 08:34:07 - mmengine - INFO - Epoch(train) [88][ 200/1879] lr: 8.6533e-02 eta: 1 day, 20:46:22 time: 0.4765 data_time: 0.0333 memory: 18108 grad_norm: 3.0215 loss: 4.2577 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3615 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8963 2023/02/01 08:34:18 - mmengine - INFO - Epoch(train) [88][ 220/1879] lr: 8.6528e-02 eta: 1 day, 20:46:12 time: 0.5125 data_time: 0.0355 memory: 18108 grad_norm: 3.0842 loss: 4.5547 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6788 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.8760 2023/02/01 08:34:27 - mmengine - INFO - Epoch(train) [88][ 240/1879] lr: 8.6522e-02 eta: 1 day, 20:46:01 time: 0.4789 data_time: 0.0342 memory: 18108 grad_norm: 3.0595 loss: 4.2112 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.3903 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.8210 2023/02/01 08:34:37 - mmengine - INFO - Epoch(train) [88][ 260/1879] lr: 8.6517e-02 eta: 1 day, 20:45:50 time: 0.4926 data_time: 0.0371 memory: 18108 grad_norm: 3.0944 loss: 4.4895 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7030 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.7865 2023/02/01 08:34:47 - mmengine - INFO - Epoch(train) [88][ 280/1879] lr: 8.6512e-02 eta: 1 day, 20:45:39 time: 0.4807 data_time: 0.0335 memory: 18108 grad_norm: 3.0441 loss: 4.2678 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4119 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.8559 2023/02/01 08:34:57 - mmengine - INFO - Epoch(train) [88][ 300/1879] lr: 8.6507e-02 eta: 1 day, 20:45:29 time: 0.5106 data_time: 0.0349 memory: 18108 grad_norm: 3.0663 loss: 4.4331 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5318 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.9014 2023/02/01 08:35:06 - mmengine - INFO - Epoch(train) [88][ 320/1879] lr: 8.6502e-02 eta: 1 day, 20:45:18 time: 0.4841 data_time: 0.0382 memory: 18108 grad_norm: 3.1275 loss: 4.2459 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5189 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7270 2023/02/01 08:35:16 - mmengine - INFO - Epoch(train) [88][ 340/1879] lr: 8.6497e-02 eta: 1 day, 20:45:07 time: 0.4948 data_time: 0.0360 memory: 18108 grad_norm: 3.0384 loss: 4.3897 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.6298 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.7599 2023/02/01 08:35:27 - mmengine - INFO - Epoch(train) [88][ 360/1879] lr: 8.6491e-02 eta: 1 day, 20:44:57 time: 0.5042 data_time: 0.0317 memory: 18108 grad_norm: 3.0544 loss: 4.4382 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5403 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8979 2023/02/01 08:35:36 - mmengine - INFO - Epoch(train) [88][ 380/1879] lr: 8.6486e-02 eta: 1 day, 20:44:46 time: 0.4917 data_time: 0.0351 memory: 18108 grad_norm: 3.0500 loss: 4.3201 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4020 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9181 2023/02/01 08:35:46 - mmengine - INFO - Epoch(train) [88][ 400/1879] lr: 8.6481e-02 eta: 1 day, 20:44:35 time: 0.4834 data_time: 0.0351 memory: 18108 grad_norm: 3.1086 loss: 4.3764 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5658 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8106 2023/02/01 08:35:56 - mmengine - INFO - Epoch(train) [88][ 420/1879] lr: 8.6476e-02 eta: 1 day, 20:44:24 time: 0.4851 data_time: 0.0371 memory: 18108 grad_norm: 3.0720 loss: 4.4280 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5689 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.8591 2023/02/01 08:36:06 - mmengine - INFO - Epoch(train) [88][ 440/1879] lr: 8.6471e-02 eta: 1 day, 20:44:14 time: 0.5092 data_time: 0.0335 memory: 18108 grad_norm: 3.0688 loss: 4.4235 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5557 top1_acc_1: 0.4706 top5_acc_1: 0.8000 loss_cls_1: 1.8678 2023/02/01 08:36:16 - mmengine - INFO - Epoch(train) [88][ 460/1879] lr: 8.6466e-02 eta: 1 day, 20:44:03 time: 0.4866 data_time: 0.0364 memory: 18108 grad_norm: 3.0871 loss: 4.4067 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 2.5091 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.8976 2023/02/01 08:36:25 - mmengine - INFO - Epoch(train) [88][ 480/1879] lr: 8.6461e-02 eta: 1 day, 20:43:52 time: 0.4844 data_time: 0.0416 memory: 18108 grad_norm: 3.0477 loss: 4.4356 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5680 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.8675 2023/02/01 08:36:36 - mmengine - INFO - Epoch(train) [88][ 500/1879] lr: 8.6455e-02 eta: 1 day, 20:43:42 time: 0.5141 data_time: 0.0364 memory: 18108 grad_norm: 3.1207 loss: 4.4161 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5411 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.8751 2023/02/01 08:36:45 - mmengine - INFO - Epoch(train) [88][ 520/1879] lr: 8.6450e-02 eta: 1 day, 20:43:31 time: 0.4798 data_time: 0.0320 memory: 18108 grad_norm: 3.1289 loss: 4.5052 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6692 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.8360 2023/02/01 08:36:49 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 08:36:55 - mmengine - INFO - Epoch(train) [88][ 540/1879] lr: 8.6445e-02 eta: 1 day, 20:43:19 time: 0.4823 data_time: 0.0340 memory: 18108 grad_norm: 3.1078 loss: 4.5506 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7022 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.8484 2023/02/01 08:37:04 - mmengine - INFO - Epoch(train) [88][ 560/1879] lr: 8.6440e-02 eta: 1 day, 20:43:08 time: 0.4766 data_time: 0.0363 memory: 18108 grad_norm: 3.1056 loss: 4.4526 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5352 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9174 2023/02/01 08:37:14 - mmengine - INFO - Epoch(train) [88][ 580/1879] lr: 8.6435e-02 eta: 1 day, 20:42:57 time: 0.4895 data_time: 0.0340 memory: 18108 grad_norm: 3.0995 loss: 4.3394 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4133 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.9261 2023/02/01 08:37:24 - mmengine - INFO - Epoch(train) [88][ 600/1879] lr: 8.6430e-02 eta: 1 day, 20:42:46 time: 0.4782 data_time: 0.0332 memory: 18108 grad_norm: 3.1983 loss: 4.6673 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7808 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8866 2023/02/01 08:37:33 - mmengine - INFO - Epoch(train) [88][ 620/1879] lr: 8.6424e-02 eta: 1 day, 20:42:35 time: 0.4794 data_time: 0.0356 memory: 18108 grad_norm: 3.0754 loss: 4.5101 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 2.6455 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 1.8647 2023/02/01 08:37:43 - mmengine - INFO - Epoch(train) [88][ 640/1879] lr: 8.6419e-02 eta: 1 day, 20:42:23 time: 0.4815 data_time: 0.0326 memory: 18108 grad_norm: 3.1460 loss: 4.3281 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.4187 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.9094 2023/02/01 08:37:53 - mmengine - INFO - Epoch(train) [88][ 660/1879] lr: 8.6414e-02 eta: 1 day, 20:42:13 time: 0.4980 data_time: 0.0356 memory: 18108 grad_norm: 3.1137 loss: 4.4518 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6653 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.7864 2023/02/01 08:38:03 - mmengine - INFO - Epoch(train) [88][ 680/1879] lr: 8.6409e-02 eta: 1 day, 20:42:02 time: 0.4772 data_time: 0.0331 memory: 18108 grad_norm: 3.0328 loss: 4.3739 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5454 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 1.8284 2023/02/01 08:38:13 - mmengine - INFO - Epoch(train) [88][ 700/1879] lr: 8.6404e-02 eta: 1 day, 20:41:51 time: 0.4941 data_time: 0.0406 memory: 18108 grad_norm: 3.0841 loss: 4.2289 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.4260 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8029 2023/02/01 08:38:22 - mmengine - INFO - Epoch(train) [88][ 720/1879] lr: 8.6399e-02 eta: 1 day, 20:41:40 time: 0.4951 data_time: 0.0387 memory: 18108 grad_norm: 3.0448 loss: 4.2418 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4434 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7984 2023/02/01 08:38:32 - mmengine - INFO - Epoch(train) [88][ 740/1879] lr: 8.6394e-02 eta: 1 day, 20:41:29 time: 0.4860 data_time: 0.0317 memory: 18108 grad_norm: 3.0545 loss: 4.4146 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5253 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8893 2023/02/01 08:38:42 - mmengine - INFO - Epoch(train) [88][ 760/1879] lr: 8.6388e-02 eta: 1 day, 20:41:19 time: 0.4942 data_time: 0.0394 memory: 18108 grad_norm: 3.0904 loss: 4.4250 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6288 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.7962 2023/02/01 08:38:52 - mmengine - INFO - Epoch(train) [88][ 780/1879] lr: 8.6383e-02 eta: 1 day, 20:41:08 time: 0.4997 data_time: 0.0399 memory: 18108 grad_norm: 3.1016 loss: 4.4184 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6034 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.8150 2023/02/01 08:39:02 - mmengine - INFO - Epoch(train) [88][ 800/1879] lr: 8.6378e-02 eta: 1 day, 20:40:58 time: 0.5008 data_time: 0.0396 memory: 18108 grad_norm: 3.1155 loss: 4.3317 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4700 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8616 2023/02/01 08:39:12 - mmengine - INFO - Epoch(train) [88][ 820/1879] lr: 8.6373e-02 eta: 1 day, 20:40:47 time: 0.4872 data_time: 0.0312 memory: 18108 grad_norm: 3.0802 loss: 4.4653 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6706 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7946 2023/02/01 08:39:22 - mmengine - INFO - Epoch(train) [88][ 840/1879] lr: 8.6368e-02 eta: 1 day, 20:40:36 time: 0.4974 data_time: 0.0454 memory: 18108 grad_norm: 3.0908 loss: 4.2688 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4289 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8399 2023/02/01 08:39:32 - mmengine - INFO - Epoch(train) [88][ 860/1879] lr: 8.6363e-02 eta: 1 day, 20:40:26 time: 0.4996 data_time: 0.0352 memory: 18108 grad_norm: 3.0646 loss: 4.4298 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5080 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.9217 2023/02/01 08:39:42 - mmengine - INFO - Epoch(train) [88][ 880/1879] lr: 8.6357e-02 eta: 1 day, 20:40:15 time: 0.4898 data_time: 0.0343 memory: 18108 grad_norm: 3.0096 loss: 4.5023 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5500 top1_acc_1: 0.4588 top5_acc_1: 0.7765 loss_cls_1: 1.9523 2023/02/01 08:39:52 - mmengine - INFO - Epoch(train) [88][ 900/1879] lr: 8.6352e-02 eta: 1 day, 20:40:04 time: 0.4979 data_time: 0.0361 memory: 18108 grad_norm: 3.0476 loss: 4.7468 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8130 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.9338 2023/02/01 08:40:01 - mmengine - INFO - Epoch(train) [88][ 920/1879] lr: 8.6347e-02 eta: 1 day, 20:39:54 time: 0.4935 data_time: 0.0360 memory: 18108 grad_norm: 3.0684 loss: 4.3281 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3780 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.9501 2023/02/01 08:40:12 - mmengine - INFO - Epoch(train) [88][ 940/1879] lr: 8.6342e-02 eta: 1 day, 20:39:43 time: 0.5086 data_time: 0.0354 memory: 18108 grad_norm: 3.0487 loss: 4.7031 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7065 top1_acc_1: 0.4588 top5_acc_1: 0.7765 loss_cls_1: 1.9966 2023/02/01 08:40:22 - mmengine - INFO - Epoch(train) [88][ 960/1879] lr: 8.6337e-02 eta: 1 day, 20:39:33 time: 0.4975 data_time: 0.0354 memory: 18108 grad_norm: 3.0319 loss: 4.4467 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5999 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.8468 2023/02/01 08:40:31 - mmengine - INFO - Epoch(train) [88][ 980/1879] lr: 8.6331e-02 eta: 1 day, 20:39:22 time: 0.4918 data_time: 0.0311 memory: 18108 grad_norm: 3.1141 loss: 4.3806 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4901 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.8905 2023/02/01 08:40:41 - mmengine - INFO - Epoch(train) [88][1000/1879] lr: 8.6326e-02 eta: 1 day, 20:39:12 time: 0.4998 data_time: 0.0345 memory: 18108 grad_norm: 3.0770 loss: 4.4086 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5710 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.8377 2023/02/01 08:40:52 - mmengine - INFO - Epoch(train) [88][1020/1879] lr: 8.6321e-02 eta: 1 day, 20:39:01 time: 0.5032 data_time: 0.0335 memory: 18108 grad_norm: 3.0976 loss: 4.4168 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5656 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.8512 2023/02/01 08:41:01 - mmengine - INFO - Epoch(train) [88][1040/1879] lr: 8.6316e-02 eta: 1 day, 20:38:50 time: 0.4838 data_time: 0.0359 memory: 18108 grad_norm: 3.0819 loss: 4.6464 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8487 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.7977 2023/02/01 08:41:11 - mmengine - INFO - Epoch(train) [88][1060/1879] lr: 8.6311e-02 eta: 1 day, 20:38:40 time: 0.4994 data_time: 0.0427 memory: 18108 grad_norm: 3.0843 loss: 4.4307 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5407 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.8900 2023/02/01 08:41:21 - mmengine - INFO - Epoch(train) [88][1080/1879] lr: 8.6306e-02 eta: 1 day, 20:38:29 time: 0.4846 data_time: 0.0346 memory: 18108 grad_norm: 3.1211 loss: 4.3871 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5249 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8622 2023/02/01 08:41:31 - mmengine - INFO - Epoch(train) [88][1100/1879] lr: 8.6300e-02 eta: 1 day, 20:38:18 time: 0.5007 data_time: 0.0321 memory: 18108 grad_norm: 3.0427 loss: 4.3839 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4868 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8971 2023/02/01 08:41:41 - mmengine - INFO - Epoch(train) [88][1120/1879] lr: 8.6295e-02 eta: 1 day, 20:38:08 time: 0.4934 data_time: 0.0371 memory: 18108 grad_norm: 3.0670 loss: 4.3406 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4431 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.8975 2023/02/01 08:41:51 - mmengine - INFO - Epoch(train) [88][1140/1879] lr: 8.6290e-02 eta: 1 day, 20:37:57 time: 0.4984 data_time: 0.0355 memory: 18108 grad_norm: 3.4450 loss: 4.5525 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.5976 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.9549 2023/02/01 08:42:01 - mmengine - INFO - Epoch(train) [88][1160/1879] lr: 8.6285e-02 eta: 1 day, 20:37:46 time: 0.4917 data_time: 0.0354 memory: 18108 grad_norm: 3.1458 loss: 4.6850 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.8145 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8704 2023/02/01 08:42:10 - mmengine - INFO - Epoch(train) [88][1180/1879] lr: 8.6280e-02 eta: 1 day, 20:37:35 time: 0.4888 data_time: 0.0336 memory: 18108 grad_norm: 3.0982 loss: 4.4316 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5044 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 1.9272 2023/02/01 08:42:20 - mmengine - INFO - Epoch(train) [88][1200/1879] lr: 8.6275e-02 eta: 1 day, 20:37:25 time: 0.4979 data_time: 0.0439 memory: 18108 grad_norm: 3.1379 loss: 4.5907 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7339 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8568 2023/02/01 08:42:31 - mmengine - INFO - Epoch(train) [88][1220/1879] lr: 8.6269e-02 eta: 1 day, 20:37:15 time: 0.5066 data_time: 0.0345 memory: 18108 grad_norm: 3.1035 loss: 4.5131 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6360 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8771 2023/02/01 08:42:40 - mmengine - INFO - Epoch(train) [88][1240/1879] lr: 8.6264e-02 eta: 1 day, 20:37:04 time: 0.4953 data_time: 0.0360 memory: 18108 grad_norm: 3.0362 loss: 4.3581 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4377 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.9204 2023/02/01 08:42:51 - mmengine - INFO - Epoch(train) [88][1260/1879] lr: 8.6259e-02 eta: 1 day, 20:36:54 time: 0.5115 data_time: 0.0384 memory: 18108 grad_norm: 3.1075 loss: 4.2451 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3636 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.8815 2023/02/01 08:43:01 - mmengine - INFO - Epoch(train) [88][1280/1879] lr: 8.6254e-02 eta: 1 day, 20:36:43 time: 0.4965 data_time: 0.0343 memory: 18108 grad_norm: 3.1079 loss: 4.5283 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7229 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8054 2023/02/01 08:43:11 - mmengine - INFO - Epoch(train) [88][1300/1879] lr: 8.6249e-02 eta: 1 day, 20:36:33 time: 0.5065 data_time: 0.0326 memory: 18108 grad_norm: 3.1316 loss: 4.3809 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.4565 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9244 2023/02/01 08:43:20 - mmengine - INFO - Epoch(train) [88][1320/1879] lr: 8.6243e-02 eta: 1 day, 20:36:22 time: 0.4841 data_time: 0.0361 memory: 18108 grad_norm: 3.1449 loss: 4.2451 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.3917 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8534 2023/02/01 08:43:31 - mmengine - INFO - Epoch(train) [88][1340/1879] lr: 8.6238e-02 eta: 1 day, 20:36:13 time: 0.5265 data_time: 0.0413 memory: 18108 grad_norm: 3.0387 loss: 4.6944 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7915 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9029 2023/02/01 08:43:42 - mmengine - INFO - Epoch(train) [88][1360/1879] lr: 8.6233e-02 eta: 1 day, 20:36:03 time: 0.5247 data_time: 0.0340 memory: 18108 grad_norm: 3.0757 loss: 4.3578 top1_acc_0: 0.3125 top5_acc_0: 0.8750 loss_cls_0: 2.5439 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8139 2023/02/01 08:43:52 - mmengine - INFO - Epoch(train) [88][1380/1879] lr: 8.6228e-02 eta: 1 day, 20:35:53 time: 0.5120 data_time: 0.0294 memory: 18108 grad_norm: 3.0295 loss: 4.4152 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5459 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8693 2023/02/01 08:44:02 - mmengine - INFO - Epoch(train) [88][1400/1879] lr: 8.6223e-02 eta: 1 day, 20:35:43 time: 0.5199 data_time: 0.0420 memory: 18108 grad_norm: 3.1035 loss: 4.3869 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4969 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.8900 2023/02/01 08:44:13 - mmengine - INFO - Epoch(train) [88][1420/1879] lr: 8.6217e-02 eta: 1 day, 20:35:34 time: 0.5294 data_time: 0.0307 memory: 18108 grad_norm: 3.0453 loss: 4.3159 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4701 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.8459 2023/02/01 08:44:23 - mmengine - INFO - Epoch(train) [88][1440/1879] lr: 8.6212e-02 eta: 1 day, 20:35:24 time: 0.5147 data_time: 0.0387 memory: 18108 grad_norm: 3.0367 loss: 4.5218 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5619 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.9598 2023/02/01 08:44:34 - mmengine - INFO - Epoch(train) [88][1460/1879] lr: 8.6207e-02 eta: 1 day, 20:35:15 time: 0.5217 data_time: 0.0284 memory: 18108 grad_norm: 3.0502 loss: 4.3965 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5048 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 1.8917 2023/02/01 08:44:44 - mmengine - INFO - Epoch(train) [88][1480/1879] lr: 8.6202e-02 eta: 1 day, 20:35:05 time: 0.5131 data_time: 0.0426 memory: 18108 grad_norm: 3.0483 loss: 4.5751 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.7383 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.8368 2023/02/01 08:44:54 - mmengine - INFO - Epoch(train) [88][1500/1879] lr: 8.6197e-02 eta: 1 day, 20:34:55 time: 0.5200 data_time: 0.0299 memory: 18108 grad_norm: 3.0301 loss: 4.3746 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4375 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9371 2023/02/01 08:45:05 - mmengine - INFO - Epoch(train) [88][1520/1879] lr: 8.6191e-02 eta: 1 day, 20:34:45 time: 0.5129 data_time: 0.0434 memory: 18108 grad_norm: 3.0817 loss: 4.3047 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4844 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.8204 2023/02/01 08:45:08 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 08:45:15 - mmengine - INFO - Epoch(train) [88][1540/1879] lr: 8.6186e-02 eta: 1 day, 20:34:36 time: 0.5304 data_time: 0.0284 memory: 18108 grad_norm: 3.0571 loss: 4.3990 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.5345 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.8645 2023/02/01 08:45:25 - mmengine - INFO - Epoch(train) [88][1560/1879] lr: 8.6181e-02 eta: 1 day, 20:34:26 time: 0.5055 data_time: 0.0401 memory: 18108 grad_norm: 3.0457 loss: 4.4739 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5486 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9253 2023/02/01 08:45:36 - mmengine - INFO - Epoch(train) [88][1580/1879] lr: 8.6176e-02 eta: 1 day, 20:34:16 time: 0.5144 data_time: 0.0284 memory: 18108 grad_norm: 3.0961 loss: 4.4015 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5076 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8939 2023/02/01 08:45:46 - mmengine - INFO - Epoch(train) [88][1600/1879] lr: 8.6171e-02 eta: 1 day, 20:34:05 time: 0.5065 data_time: 0.0308 memory: 18108 grad_norm: 3.0663 loss: 4.4784 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6534 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8250 2023/02/01 08:45:56 - mmengine - INFO - Epoch(train) [88][1620/1879] lr: 8.6165e-02 eta: 1 day, 20:33:55 time: 0.5039 data_time: 0.0369 memory: 18108 grad_norm: 3.1049 loss: 4.5948 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6416 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9532 2023/02/01 08:46:06 - mmengine - INFO - Epoch(train) [88][1640/1879] lr: 8.6160e-02 eta: 1 day, 20:33:44 time: 0.4940 data_time: 0.0320 memory: 18108 grad_norm: 3.1001 loss: 4.6100 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7070 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.9029 2023/02/01 08:46:16 - mmengine - INFO - Epoch(train) [88][1660/1879] lr: 8.6155e-02 eta: 1 day, 20:33:35 time: 0.5148 data_time: 0.0349 memory: 18108 grad_norm: 3.0869 loss: 4.6569 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.7061 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.9508 2023/02/01 08:46:26 - mmengine - INFO - Epoch(train) [88][1680/1879] lr: 8.6150e-02 eta: 1 day, 20:33:24 time: 0.4861 data_time: 0.0307 memory: 18108 grad_norm: 3.0712 loss: 4.3574 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4897 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8677 2023/02/01 08:46:36 - mmengine - INFO - Epoch(train) [88][1700/1879] lr: 8.6145e-02 eta: 1 day, 20:33:13 time: 0.4974 data_time: 0.0344 memory: 18108 grad_norm: 3.0602 loss: 4.5059 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6401 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.8658 2023/02/01 08:46:45 - mmengine - INFO - Epoch(train) [88][1720/1879] lr: 8.6139e-02 eta: 1 day, 20:33:02 time: 0.4831 data_time: 0.0331 memory: 18108 grad_norm: 3.0847 loss: 4.2922 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4674 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.8248 2023/02/01 08:46:55 - mmengine - INFO - Epoch(train) [88][1740/1879] lr: 8.6134e-02 eta: 1 day, 20:32:52 time: 0.5020 data_time: 0.0411 memory: 18108 grad_norm: 3.1546 loss: 4.2860 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4532 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.8328 2023/02/01 08:47:05 - mmengine - INFO - Epoch(train) [88][1760/1879] lr: 8.6129e-02 eta: 1 day, 20:32:41 time: 0.4968 data_time: 0.0322 memory: 18108 grad_norm: 3.1115 loss: 4.4620 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5744 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8876 2023/02/01 08:47:15 - mmengine - INFO - Epoch(train) [88][1780/1879] lr: 8.6124e-02 eta: 1 day, 20:32:31 time: 0.5075 data_time: 0.0352 memory: 18108 grad_norm: 2.9978 loss: 4.4164 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5634 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8530 2023/02/01 08:47:26 - mmengine - INFO - Epoch(train) [88][1800/1879] lr: 8.6119e-02 eta: 1 day, 20:32:20 time: 0.5007 data_time: 0.0315 memory: 18108 grad_norm: 3.1050 loss: 4.5822 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7289 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.8533 2023/02/01 08:47:36 - mmengine - INFO - Epoch(train) [88][1820/1879] lr: 8.6113e-02 eta: 1 day, 20:32:10 time: 0.5072 data_time: 0.0481 memory: 18108 grad_norm: 3.0836 loss: 4.6987 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7746 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9242 2023/02/01 08:47:46 - mmengine - INFO - Epoch(train) [88][1840/1879] lr: 8.6108e-02 eta: 1 day, 20:32:01 time: 0.5232 data_time: 0.0305 memory: 18108 grad_norm: 3.0197 loss: 4.5799 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7143 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.8656 2023/02/01 08:47:56 - mmengine - INFO - Epoch(train) [88][1860/1879] lr: 8.6103e-02 eta: 1 day, 20:31:51 time: 0.5143 data_time: 0.0351 memory: 18108 grad_norm: 3.0947 loss: 4.5507 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6523 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 1.8984 2023/02/01 08:48:06 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 08:48:06 - mmengine - INFO - Epoch(train) [88][1879/1879] lr: 8.6098e-02 eta: 1 day, 20:31:40 time: 0.4963 data_time: 0.0285 memory: 18108 grad_norm: 3.0910 loss: 4.3804 top1_acc_0: 0.2857 top5_acc_0: 0.4286 loss_cls_0: 2.5170 top1_acc_1: 0.5294 top5_acc_1: 0.6824 loss_cls_1: 1.8634 2023/02/01 08:48:06 - mmengine - INFO - Saving checkpoint at 88 epochs 2023/02/01 08:48:17 - mmengine - INFO - Epoch(val) [88][ 20/155] eta: 0:01:01 time: 0.4587 data_time: 0.3440 memory: 1906 2023/02/01 08:48:26 - mmengine - INFO - Epoch(val) [88][ 40/155] eta: 0:00:51 time: 0.4434 data_time: 0.3321 memory: 1906 2023/02/01 08:48:34 - mmengine - INFO - Epoch(val) [88][ 60/155] eta: 0:00:42 time: 0.4271 data_time: 0.3165 memory: 1906 2023/02/01 08:48:44 - mmengine - INFO - Epoch(val) [88][ 80/155] eta: 0:00:33 time: 0.4615 data_time: 0.3502 memory: 1906 2023/02/01 08:48:53 - mmengine - INFO - Epoch(val) [88][100/155] eta: 0:00:24 time: 0.4426 data_time: 0.3310 memory: 1906 2023/02/01 08:49:02 - mmengine - INFO - Epoch(val) [88][120/155] eta: 0:00:15 time: 0.4585 data_time: 0.3479 memory: 1906 2023/02/01 08:49:10 - mmengine - INFO - Epoch(val) [88][140/155] eta: 0:00:06 time: 0.4394 data_time: 0.3291 memory: 1906 2023/02/01 08:49:18 - mmengine - INFO - Epoch(val) [88][155/155] acc/top1: 0.4663 acc/top5: 0.7266 acc/mean1: 0.4661 2023/02/01 08:49:18 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_84.pth is removed 2023/02/01 08:49:20 - mmengine - INFO - The best checkpoint with 0.4663 acc/top1 at 88 epoch is saved to best_acc/top1_epoch_88.pth. 2023/02/01 08:49:34 - mmengine - INFO - Epoch(train) [89][ 20/1879] lr: 8.6093e-02 eta: 1 day, 20:31:37 time: 0.6887 data_time: 0.2378 memory: 18108 grad_norm: 3.0328 loss: 4.2803 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4490 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.8313 2023/02/01 08:49:43 - mmengine - INFO - Epoch(train) [89][ 40/1879] lr: 8.6088e-02 eta: 1 day, 20:31:26 time: 0.4707 data_time: 0.0348 memory: 18108 grad_norm: 3.1140 loss: 4.1006 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4456 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.6550 2023/02/01 08:49:53 - mmengine - INFO - Epoch(train) [89][ 60/1879] lr: 8.6082e-02 eta: 1 day, 20:31:15 time: 0.4996 data_time: 0.0546 memory: 18108 grad_norm: 3.0658 loss: 4.3078 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5192 top1_acc_1: 0.6235 top5_acc_1: 0.9059 loss_cls_1: 1.7885 2023/02/01 08:50:03 - mmengine - INFO - Epoch(train) [89][ 80/1879] lr: 8.6077e-02 eta: 1 day, 20:31:05 time: 0.5018 data_time: 0.0317 memory: 18108 grad_norm: 3.0272 loss: 4.2806 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.4828 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7978 2023/02/01 08:50:13 - mmengine - INFO - Epoch(train) [89][ 100/1879] lr: 8.6072e-02 eta: 1 day, 20:30:54 time: 0.4818 data_time: 0.0395 memory: 18108 grad_norm: 3.1053 loss: 4.3669 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.5004 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 1.8665 2023/02/01 08:50:22 - mmengine - INFO - Epoch(train) [89][ 120/1879] lr: 8.6067e-02 eta: 1 day, 20:30:42 time: 0.4704 data_time: 0.0318 memory: 18108 grad_norm: 3.1338 loss: 4.3906 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4991 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8915 2023/02/01 08:50:33 - mmengine - INFO - Epoch(train) [89][ 140/1879] lr: 8.6062e-02 eta: 1 day, 20:30:33 time: 0.5412 data_time: 0.0552 memory: 18108 grad_norm: 3.1234 loss: 4.2550 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.3785 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8765 2023/02/01 08:50:42 - mmengine - INFO - Epoch(train) [89][ 160/1879] lr: 8.6056e-02 eta: 1 day, 20:30:22 time: 0.4776 data_time: 0.0317 memory: 18108 grad_norm: 3.0714 loss: 4.5306 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7538 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.7768 2023/02/01 08:50:52 - mmengine - INFO - Epoch(train) [89][ 180/1879] lr: 8.6051e-02 eta: 1 day, 20:30:11 time: 0.4884 data_time: 0.0387 memory: 18108 grad_norm: 3.1111 loss: 4.5831 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.8645 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7187 2023/02/01 08:51:02 - mmengine - INFO - Epoch(train) [89][ 200/1879] lr: 8.6046e-02 eta: 1 day, 20:30:00 time: 0.4913 data_time: 0.0471 memory: 18108 grad_norm: 3.0301 loss: 4.4293 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5884 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 1.8410 2023/02/01 08:51:12 - mmengine - INFO - Epoch(train) [89][ 220/1879] lr: 8.6041e-02 eta: 1 day, 20:29:50 time: 0.5182 data_time: 0.0394 memory: 18108 grad_norm: 3.0682 loss: 4.4690 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5975 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.8714 2023/02/01 08:51:22 - mmengine - INFO - Epoch(train) [89][ 240/1879] lr: 8.6035e-02 eta: 1 day, 20:29:40 time: 0.4889 data_time: 0.0308 memory: 18108 grad_norm: 3.0553 loss: 4.6058 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.8109 top1_acc_1: 0.6471 top5_acc_1: 0.7765 loss_cls_1: 1.7949 2023/02/01 08:51:32 - mmengine - INFO - Epoch(train) [89][ 260/1879] lr: 8.6030e-02 eta: 1 day, 20:29:29 time: 0.4949 data_time: 0.0433 memory: 18108 grad_norm: 3.0490 loss: 4.2592 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.4228 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 1.8364 2023/02/01 08:51:42 - mmengine - INFO - Epoch(train) [89][ 280/1879] lr: 8.6025e-02 eta: 1 day, 20:29:19 time: 0.5100 data_time: 0.0295 memory: 18108 grad_norm: 3.0609 loss: 4.5358 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6380 top1_acc_1: 0.4824 top5_acc_1: 0.7882 loss_cls_1: 1.8978 2023/02/01 08:51:52 - mmengine - INFO - Epoch(train) [89][ 300/1879] lr: 8.6020e-02 eta: 1 day, 20:29:08 time: 0.5003 data_time: 0.0384 memory: 18108 grad_norm: 3.0323 loss: 4.3800 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.5884 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7915 2023/02/01 08:52:02 - mmengine - INFO - Epoch(train) [89][ 320/1879] lr: 8.6015e-02 eta: 1 day, 20:28:58 time: 0.5024 data_time: 0.0365 memory: 18108 grad_norm: 3.0762 loss: 4.4491 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5968 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.8523 2023/02/01 08:52:13 - mmengine - INFO - Epoch(train) [89][ 340/1879] lr: 8.6009e-02 eta: 1 day, 20:28:48 time: 0.5108 data_time: 0.0379 memory: 18108 grad_norm: 3.1355 loss: 4.3088 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5236 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7852 2023/02/01 08:52:23 - mmengine - INFO - Epoch(train) [89][ 360/1879] lr: 8.6004e-02 eta: 1 day, 20:28:38 time: 0.5204 data_time: 0.0310 memory: 18108 grad_norm: 3.0971 loss: 4.2546 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3983 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8562 2023/02/01 08:52:33 - mmengine - INFO - Epoch(train) [89][ 380/1879] lr: 8.5999e-02 eta: 1 day, 20:28:28 time: 0.5129 data_time: 0.0440 memory: 18108 grad_norm: 3.0466 loss: 4.3559 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4606 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.8954 2023/02/01 08:52:43 - mmengine - INFO - Epoch(train) [89][ 400/1879] lr: 8.5994e-02 eta: 1 day, 20:28:18 time: 0.5016 data_time: 0.0313 memory: 18108 grad_norm: 3.0838 loss: 4.5093 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6108 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8985 2023/02/01 08:52:54 - mmengine - INFO - Epoch(train) [89][ 420/1879] lr: 8.5988e-02 eta: 1 day, 20:28:09 time: 0.5292 data_time: 0.0355 memory: 18108 grad_norm: 3.0931 loss: 4.5067 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6167 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.8901 2023/02/01 08:53:04 - mmengine - INFO - Epoch(train) [89][ 440/1879] lr: 8.5983e-02 eta: 1 day, 20:27:59 time: 0.5151 data_time: 0.0297 memory: 18108 grad_norm: 3.0687 loss: 4.2991 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4721 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8270 2023/02/01 08:53:15 - mmengine - INFO - Epoch(train) [89][ 460/1879] lr: 8.5978e-02 eta: 1 day, 20:27:49 time: 0.5127 data_time: 0.0437 memory: 18108 grad_norm: 3.1299 loss: 4.5029 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6201 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.8828 2023/02/01 08:53:25 - mmengine - INFO - Epoch(train) [89][ 480/1879] lr: 8.5973e-02 eta: 1 day, 20:27:39 time: 0.5238 data_time: 0.0292 memory: 18108 grad_norm: 3.1038 loss: 4.2293 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3657 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8636 2023/02/01 08:53:36 - mmengine - INFO - Epoch(train) [89][ 500/1879] lr: 8.5968e-02 eta: 1 day, 20:27:30 time: 0.5231 data_time: 0.0371 memory: 18108 grad_norm: 3.0524 loss: 4.4972 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.6766 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8206 2023/02/01 08:53:46 - mmengine - INFO - Epoch(train) [89][ 520/1879] lr: 8.5962e-02 eta: 1 day, 20:27:20 time: 0.5168 data_time: 0.0388 memory: 18108 grad_norm: 3.0660 loss: 4.3005 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4468 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.8538 2023/02/01 08:53:56 - mmengine - INFO - Epoch(train) [89][ 540/1879] lr: 8.5957e-02 eta: 1 day, 20:27:10 time: 0.5183 data_time: 0.0357 memory: 18108 grad_norm: 3.0849 loss: 4.5885 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7288 top1_acc_1: 0.6706 top5_acc_1: 0.8000 loss_cls_1: 1.8596 2023/02/01 08:54:07 - mmengine - INFO - Epoch(train) [89][ 560/1879] lr: 8.5952e-02 eta: 1 day, 20:27:00 time: 0.5230 data_time: 0.0310 memory: 18108 grad_norm: 3.0718 loss: 4.4134 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 2.5517 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8617 2023/02/01 08:54:17 - mmengine - INFO - Epoch(train) [89][ 580/1879] lr: 8.5947e-02 eta: 1 day, 20:26:51 time: 0.5157 data_time: 0.0452 memory: 18108 grad_norm: 3.1188 loss: 4.3331 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5067 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.8263 2023/02/01 08:54:27 - mmengine - INFO - Epoch(train) [89][ 600/1879] lr: 8.5941e-02 eta: 1 day, 20:26:40 time: 0.5009 data_time: 0.0297 memory: 18108 grad_norm: 3.0656 loss: 4.4556 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6045 top1_acc_1: 0.4588 top5_acc_1: 0.8000 loss_cls_1: 1.8511 2023/02/01 08:54:37 - mmengine - INFO - Epoch(train) [89][ 620/1879] lr: 8.5936e-02 eta: 1 day, 20:26:30 time: 0.5188 data_time: 0.0352 memory: 18108 grad_norm: 3.0629 loss: 4.4593 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5836 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.8757 2023/02/01 08:54:48 - mmengine - INFO - Epoch(train) [89][ 640/1879] lr: 8.5931e-02 eta: 1 day, 20:26:21 time: 0.5272 data_time: 0.0318 memory: 18108 grad_norm: 3.1535 loss: 4.5982 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7057 top1_acc_1: 0.5176 top5_acc_1: 0.8471 loss_cls_1: 1.8925 2023/02/01 08:54:52 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 08:54:58 - mmengine - INFO - Epoch(train) [89][ 660/1879] lr: 8.5926e-02 eta: 1 day, 20:26:11 time: 0.5148 data_time: 0.0435 memory: 18108 grad_norm: 3.1144 loss: 4.4631 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6437 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.8194 2023/02/01 08:55:09 - mmengine - INFO - Epoch(train) [89][ 680/1879] lr: 8.5920e-02 eta: 1 day, 20:26:02 time: 0.5247 data_time: 0.0302 memory: 18108 grad_norm: 3.1207 loss: 4.5266 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7233 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.8033 2023/02/01 08:55:20 - mmengine - INFO - Epoch(train) [89][ 700/1879] lr: 8.5915e-02 eta: 1 day, 20:25:52 time: 0.5325 data_time: 0.0413 memory: 18108 grad_norm: 3.0643 loss: 4.4153 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5369 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.8784 2023/02/01 08:55:30 - mmengine - INFO - Epoch(train) [89][ 720/1879] lr: 8.5910e-02 eta: 1 day, 20:25:42 time: 0.5136 data_time: 0.0257 memory: 18108 grad_norm: 3.0332 loss: 4.4082 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5551 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.8531 2023/02/01 08:55:40 - mmengine - INFO - Epoch(train) [89][ 740/1879] lr: 8.5905e-02 eta: 1 day, 20:25:33 time: 0.5193 data_time: 0.0363 memory: 18108 grad_norm: 3.1632 loss: 4.4422 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5733 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.8689 2023/02/01 08:55:50 - mmengine - INFO - Epoch(train) [89][ 760/1879] lr: 8.5899e-02 eta: 1 day, 20:25:23 time: 0.5060 data_time: 0.0294 memory: 18108 grad_norm: 3.0452 loss: 4.4222 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6010 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8212 2023/02/01 08:56:01 - mmengine - INFO - Epoch(train) [89][ 780/1879] lr: 8.5894e-02 eta: 1 day, 20:25:13 time: 0.5187 data_time: 0.0450 memory: 18108 grad_norm: 3.0709 loss: 4.4145 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5342 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.8803 2023/02/01 08:56:11 - mmengine - INFO - Epoch(train) [89][ 800/1879] lr: 8.5889e-02 eta: 1 day, 20:25:03 time: 0.5101 data_time: 0.0298 memory: 18108 grad_norm: 3.1336 loss: 4.3463 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4799 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8664 2023/02/01 08:56:21 - mmengine - INFO - Epoch(train) [89][ 820/1879] lr: 8.5884e-02 eta: 1 day, 20:24:53 time: 0.5153 data_time: 0.0383 memory: 18108 grad_norm: 3.0243 loss: 4.3872 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5615 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.8258 2023/02/01 08:56:32 - mmengine - INFO - Epoch(train) [89][ 840/1879] lr: 8.5878e-02 eta: 1 day, 20:24:44 time: 0.5417 data_time: 0.0380 memory: 18108 grad_norm: 3.0840 loss: 4.4236 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5172 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9064 2023/02/01 08:56:42 - mmengine - INFO - Epoch(train) [89][ 860/1879] lr: 8.5873e-02 eta: 1 day, 20:24:34 time: 0.5133 data_time: 0.0341 memory: 18108 grad_norm: 3.0907 loss: 4.3680 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5162 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.8518 2023/02/01 08:56:53 - mmengine - INFO - Epoch(train) [89][ 880/1879] lr: 8.5868e-02 eta: 1 day, 20:24:24 time: 0.5136 data_time: 0.0306 memory: 18108 grad_norm: 3.1624 loss: 4.5094 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6588 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.8505 2023/02/01 08:57:03 - mmengine - INFO - Epoch(train) [89][ 900/1879] lr: 8.5863e-02 eta: 1 day, 20:24:14 time: 0.5169 data_time: 0.0446 memory: 18108 grad_norm: 3.1062 loss: 4.3986 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.6387 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.7599 2023/02/01 08:57:13 - mmengine - INFO - Epoch(train) [89][ 920/1879] lr: 8.5857e-02 eta: 1 day, 20:24:05 time: 0.5211 data_time: 0.0302 memory: 18108 grad_norm: 3.0197 loss: 4.3295 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4898 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.8397 2023/02/01 08:57:24 - mmengine - INFO - Epoch(train) [89][ 940/1879] lr: 8.5852e-02 eta: 1 day, 20:23:55 time: 0.5152 data_time: 0.0361 memory: 18108 grad_norm: 3.0421 loss: 4.3138 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4498 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.8640 2023/02/01 08:57:34 - mmengine - INFO - Epoch(train) [89][ 960/1879] lr: 8.5847e-02 eta: 1 day, 20:23:45 time: 0.5181 data_time: 0.0369 memory: 18108 grad_norm: 3.1247 loss: 4.3995 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5733 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8262 2023/02/01 08:57:45 - mmengine - INFO - Epoch(train) [89][ 980/1879] lr: 8.5842e-02 eta: 1 day, 20:23:36 time: 0.5300 data_time: 0.0363 memory: 18108 grad_norm: 3.1203 loss: 4.6368 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7449 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8919 2023/02/01 08:57:55 - mmengine - INFO - Epoch(train) [89][1000/1879] lr: 8.5836e-02 eta: 1 day, 20:23:26 time: 0.5158 data_time: 0.0310 memory: 18108 grad_norm: 3.0884 loss: 4.4859 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6582 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.8277 2023/02/01 08:58:05 - mmengine - INFO - Epoch(train) [89][1020/1879] lr: 8.5831e-02 eta: 1 day, 20:23:16 time: 0.5204 data_time: 0.0426 memory: 18108 grad_norm: 3.1261 loss: 4.5620 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.7569 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.8050 2023/02/01 08:58:16 - mmengine - INFO - Epoch(train) [89][1040/1879] lr: 8.5826e-02 eta: 1 day, 20:23:07 time: 0.5241 data_time: 0.0298 memory: 18108 grad_norm: 3.0211 loss: 4.3526 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5149 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.8377 2023/02/01 08:58:26 - mmengine - INFO - Epoch(train) [89][1060/1879] lr: 8.5821e-02 eta: 1 day, 20:22:57 time: 0.5158 data_time: 0.0365 memory: 18108 grad_norm: 3.1080 loss: 4.4167 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4934 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.9233 2023/02/01 08:58:36 - mmengine - INFO - Epoch(train) [89][1080/1879] lr: 8.5815e-02 eta: 1 day, 20:22:47 time: 0.5090 data_time: 0.0295 memory: 18108 grad_norm: 3.1534 loss: 4.2853 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3905 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8948 2023/02/01 08:58:47 - mmengine - INFO - Epoch(train) [89][1100/1879] lr: 8.5810e-02 eta: 1 day, 20:22:37 time: 0.5321 data_time: 0.0419 memory: 18108 grad_norm: 3.1315 loss: 4.5176 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6288 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8888 2023/02/01 08:58:57 - mmengine - INFO - Epoch(train) [89][1120/1879] lr: 8.5805e-02 eta: 1 day, 20:22:27 time: 0.5092 data_time: 0.0301 memory: 18108 grad_norm: 3.0836 loss: 4.2888 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.4724 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.8165 2023/02/01 08:59:07 - mmengine - INFO - Epoch(train) [89][1140/1879] lr: 8.5800e-02 eta: 1 day, 20:22:17 time: 0.5067 data_time: 0.0368 memory: 18108 grad_norm: 3.0833 loss: 4.6441 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.8261 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.8180 2023/02/01 08:59:18 - mmengine - INFO - Epoch(train) [89][1160/1879] lr: 8.5794e-02 eta: 1 day, 20:22:07 time: 0.5079 data_time: 0.0410 memory: 18108 grad_norm: 3.0695 loss: 4.2874 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3734 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.9141 2023/02/01 08:59:28 - mmengine - INFO - Epoch(train) [89][1180/1879] lr: 8.5789e-02 eta: 1 day, 20:21:57 time: 0.5101 data_time: 0.0330 memory: 18108 grad_norm: 3.1137 loss: 4.3596 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5163 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.8433 2023/02/01 08:59:38 - mmengine - INFO - Epoch(train) [89][1200/1879] lr: 8.5784e-02 eta: 1 day, 20:21:47 time: 0.5093 data_time: 0.0361 memory: 18108 grad_norm: 3.0832 loss: 4.6361 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7652 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.8708 2023/02/01 08:59:48 - mmengine - INFO - Epoch(train) [89][1220/1879] lr: 8.5779e-02 eta: 1 day, 20:21:36 time: 0.5041 data_time: 0.0382 memory: 18108 grad_norm: 3.1512 loss: 4.1873 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3429 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8445 2023/02/01 08:59:58 - mmengine - INFO - Epoch(train) [89][1240/1879] lr: 8.5773e-02 eta: 1 day, 20:21:26 time: 0.5137 data_time: 0.0400 memory: 18108 grad_norm: 3.1099 loss: 4.5034 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6139 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.8895 2023/02/01 09:00:09 - mmengine - INFO - Epoch(train) [89][1260/1879] lr: 8.5768e-02 eta: 1 day, 20:21:17 time: 0.5206 data_time: 0.0257 memory: 18108 grad_norm: 3.1064 loss: 4.5513 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6321 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.9193 2023/02/01 09:00:19 - mmengine - INFO - Epoch(train) [89][1280/1879] lr: 8.5763e-02 eta: 1 day, 20:21:06 time: 0.4987 data_time: 0.0358 memory: 18108 grad_norm: 3.0520 loss: 4.5742 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7358 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8384 2023/02/01 09:00:29 - mmengine - INFO - Epoch(train) [89][1300/1879] lr: 8.5758e-02 eta: 1 day, 20:20:57 time: 0.5222 data_time: 0.0357 memory: 18108 grad_norm: 3.0592 loss: 4.6820 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.8295 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.8525 2023/02/01 09:00:39 - mmengine - INFO - Epoch(train) [89][1320/1879] lr: 8.5752e-02 eta: 1 day, 20:20:46 time: 0.5054 data_time: 0.0386 memory: 18108 grad_norm: 3.0528 loss: 4.3279 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4931 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.8348 2023/02/01 09:00:50 - mmengine - INFO - Epoch(train) [89][1340/1879] lr: 8.5747e-02 eta: 1 day, 20:20:36 time: 0.5040 data_time: 0.0315 memory: 18108 grad_norm: 3.0332 loss: 4.3171 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4554 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.8617 2023/02/01 09:01:00 - mmengine - INFO - Epoch(train) [89][1360/1879] lr: 8.5742e-02 eta: 1 day, 20:20:26 time: 0.5057 data_time: 0.0464 memory: 18108 grad_norm: 3.0736 loss: 4.5320 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.7092 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.8229 2023/02/01 09:01:10 - mmengine - INFO - Epoch(train) [89][1380/1879] lr: 8.5737e-02 eta: 1 day, 20:20:16 time: 0.5275 data_time: 0.0302 memory: 18108 grad_norm: 3.1154 loss: 4.6021 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.7759 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.8262 2023/02/01 09:01:20 - mmengine - INFO - Epoch(train) [89][1400/1879] lr: 8.5731e-02 eta: 1 day, 20:20:06 time: 0.4999 data_time: 0.0378 memory: 18108 grad_norm: 3.1047 loss: 4.3922 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4801 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.9121 2023/02/01 09:01:30 - mmengine - INFO - Epoch(train) [89][1420/1879] lr: 8.5726e-02 eta: 1 day, 20:19:56 time: 0.5036 data_time: 0.0293 memory: 18108 grad_norm: 3.0694 loss: 4.4429 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5706 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.8723 2023/02/01 09:01:41 - mmengine - INFO - Epoch(train) [89][1440/1879] lr: 8.5721e-02 eta: 1 day, 20:19:46 time: 0.5236 data_time: 0.0450 memory: 18108 grad_norm: 3.1057 loss: 4.2057 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3503 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8554 2023/02/01 09:01:51 - mmengine - INFO - Epoch(train) [89][1460/1879] lr: 8.5715e-02 eta: 1 day, 20:19:36 time: 0.5130 data_time: 0.0297 memory: 18108 grad_norm: 3.0419 loss: 4.4065 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5386 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.8679 2023/02/01 09:02:01 - mmengine - INFO - Epoch(train) [89][1480/1879] lr: 8.5710e-02 eta: 1 day, 20:19:25 time: 0.4924 data_time: 0.0381 memory: 18108 grad_norm: 3.0946 loss: 4.3068 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5618 top1_acc_1: 0.4588 top5_acc_1: 0.8000 loss_cls_1: 1.7451 2023/02/01 09:02:11 - mmengine - INFO - Epoch(train) [89][1500/1879] lr: 8.5705e-02 eta: 1 day, 20:19:16 time: 0.5185 data_time: 0.0292 memory: 18108 grad_norm: 3.1685 loss: 4.2985 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4436 top1_acc_1: 0.6235 top5_acc_1: 0.8941 loss_cls_1: 1.8548 2023/02/01 09:02:22 - mmengine - INFO - Epoch(train) [89][1520/1879] lr: 8.5700e-02 eta: 1 day, 20:19:06 time: 0.5098 data_time: 0.0436 memory: 18108 grad_norm: 3.0472 loss: 4.2839 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5050 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.7789 2023/02/01 09:02:32 - mmengine - INFO - Epoch(train) [89][1540/1879] lr: 8.5694e-02 eta: 1 day, 20:18:56 time: 0.5138 data_time: 0.0283 memory: 18108 grad_norm: 3.0708 loss: 4.4808 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6423 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.8385 2023/02/01 09:02:42 - mmengine - INFO - Epoch(train) [89][1560/1879] lr: 8.5689e-02 eta: 1 day, 20:18:45 time: 0.5081 data_time: 0.0378 memory: 18108 grad_norm: 3.1127 loss: 4.3086 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.5346 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7739 2023/02/01 09:02:52 - mmengine - INFO - Epoch(train) [89][1580/1879] lr: 8.5684e-02 eta: 1 day, 20:18:36 time: 0.5158 data_time: 0.0355 memory: 18108 grad_norm: 3.0806 loss: 4.6182 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7733 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.8449 2023/02/01 09:03:02 - mmengine - INFO - Epoch(train) [89][1600/1879] lr: 8.5679e-02 eta: 1 day, 20:18:25 time: 0.5007 data_time: 0.0350 memory: 18108 grad_norm: 3.0403 loss: 4.9043 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.9521 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9522 2023/02/01 09:03:12 - mmengine - INFO - Epoch(train) [89][1620/1879] lr: 8.5673e-02 eta: 1 day, 20:18:15 time: 0.4942 data_time: 0.0299 memory: 18108 grad_norm: 3.0501 loss: 4.4595 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6592 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.8002 2023/02/01 09:03:22 - mmengine - INFO - Epoch(train) [89][1640/1879] lr: 8.5668e-02 eta: 1 day, 20:18:04 time: 0.5105 data_time: 0.0379 memory: 18108 grad_norm: 3.0395 loss: 4.6016 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7068 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8948 2023/02/01 09:03:26 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 09:03:33 - mmengine - INFO - Epoch(train) [89][1660/1879] lr: 8.5663e-02 eta: 1 day, 20:17:55 time: 0.5209 data_time: 0.0290 memory: 18108 grad_norm: 3.1012 loss: 4.4575 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5847 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.8729 2023/02/01 09:03:43 - mmengine - INFO - Epoch(train) [89][1680/1879] lr: 8.5657e-02 eta: 1 day, 20:17:44 time: 0.4931 data_time: 0.0364 memory: 18108 grad_norm: 3.1617 loss: 4.5022 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5440 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9582 2023/02/01 09:03:53 - mmengine - INFO - Epoch(train) [89][1700/1879] lr: 8.5652e-02 eta: 1 day, 20:17:34 time: 0.5043 data_time: 0.0304 memory: 18108 grad_norm: 3.0595 loss: 4.7104 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7852 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9251 2023/02/01 09:04:03 - mmengine - INFO - Epoch(train) [89][1720/1879] lr: 8.5647e-02 eta: 1 day, 20:17:24 time: 0.5175 data_time: 0.0440 memory: 18108 grad_norm: 3.0397 loss: 4.4314 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6199 top1_acc_1: 0.4824 top5_acc_1: 0.8000 loss_cls_1: 1.8115 2023/02/01 09:04:13 - mmengine - INFO - Epoch(train) [89][1740/1879] lr: 8.5642e-02 eta: 1 day, 20:17:13 time: 0.4951 data_time: 0.0297 memory: 18108 grad_norm: 3.0295 loss: 4.4163 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5739 top1_acc_1: 0.5882 top5_acc_1: 0.7176 loss_cls_1: 1.8424 2023/02/01 09:04:23 - mmengine - INFO - Epoch(train) [89][1760/1879] lr: 8.5636e-02 eta: 1 day, 20:17:03 time: 0.5110 data_time: 0.0372 memory: 18108 grad_norm: 3.0368 loss: 4.5138 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5805 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.9332 2023/02/01 09:04:34 - mmengine - INFO - Epoch(train) [89][1780/1879] lr: 8.5631e-02 eta: 1 day, 20:16:53 time: 0.5133 data_time: 0.0424 memory: 18108 grad_norm: 3.0580 loss: 4.2327 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3914 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8413 2023/02/01 09:04:44 - mmengine - INFO - Epoch(train) [89][1800/1879] lr: 8.5626e-02 eta: 1 day, 20:16:43 time: 0.5020 data_time: 0.0374 memory: 18108 grad_norm: 3.1032 loss: 4.5988 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.6810 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.9178 2023/02/01 09:04:54 - mmengine - INFO - Epoch(train) [89][1820/1879] lr: 8.5620e-02 eta: 1 day, 20:16:33 time: 0.4994 data_time: 0.0294 memory: 18108 grad_norm: 3.0239 loss: 4.3913 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4955 top1_acc_1: 0.4824 top5_acc_1: 0.8000 loss_cls_1: 1.8959 2023/02/01 09:05:04 - mmengine - INFO - Epoch(train) [89][1840/1879] lr: 8.5615e-02 eta: 1 day, 20:16:22 time: 0.5074 data_time: 0.0453 memory: 18108 grad_norm: 3.0971 loss: 4.2129 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4266 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.7863 2023/02/01 09:05:14 - mmengine - INFO - Epoch(train) [89][1860/1879] lr: 8.5610e-02 eta: 1 day, 20:16:12 time: 0.5111 data_time: 0.0294 memory: 18108 grad_norm: 3.0198 loss: 4.5624 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6906 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.8718 2023/02/01 09:05:23 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 09:05:23 - mmengine - INFO - Epoch(train) [89][1879/1879] lr: 8.5605e-02 eta: 1 day, 20:16:01 time: 0.4727 data_time: 0.0278 memory: 18108 grad_norm: 3.0976 loss: 4.1640 top1_acc_0: 0.4286 top5_acc_0: 0.8571 loss_cls_0: 2.3200 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.8440 2023/02/01 09:05:38 - mmengine - INFO - Epoch(train) [90][ 20/1879] lr: 8.5600e-02 eta: 1 day, 20:15:59 time: 0.7150 data_time: 0.2687 memory: 18108 grad_norm: 3.0319 loss: 4.5754 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7142 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.8612 2023/02/01 09:05:47 - mmengine - INFO - Epoch(train) [90][ 40/1879] lr: 8.5594e-02 eta: 1 day, 20:15:47 time: 0.4688 data_time: 0.0343 memory: 18108 grad_norm: 3.0628 loss: 4.6316 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.7766 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.8550 2023/02/01 09:05:57 - mmengine - INFO - Epoch(train) [90][ 60/1879] lr: 8.5589e-02 eta: 1 day, 20:15:36 time: 0.4723 data_time: 0.0351 memory: 18108 grad_norm: 3.1236 loss: 4.3576 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.5772 top1_acc_1: 0.4941 top5_acc_1: 0.8353 loss_cls_1: 1.7805 2023/02/01 09:06:07 - mmengine - INFO - Epoch(train) [90][ 80/1879] lr: 8.5584e-02 eta: 1 day, 20:15:26 time: 0.5067 data_time: 0.0423 memory: 18108 grad_norm: 3.0824 loss: 4.2602 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5147 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.7456 2023/02/01 09:06:17 - mmengine - INFO - Epoch(train) [90][ 100/1879] lr: 8.5578e-02 eta: 1 day, 20:15:14 time: 0.4737 data_time: 0.0376 memory: 18108 grad_norm: 3.1023 loss: 4.3230 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.5367 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.7863 2023/02/01 09:06:26 - mmengine - INFO - Epoch(train) [90][ 120/1879] lr: 8.5573e-02 eta: 1 day, 20:15:02 time: 0.4664 data_time: 0.0344 memory: 18108 grad_norm: 3.0495 loss: 4.0436 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2732 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.7705 2023/02/01 09:06:36 - mmengine - INFO - Epoch(train) [90][ 140/1879] lr: 8.5568e-02 eta: 1 day, 20:14:52 time: 0.4959 data_time: 0.0377 memory: 18108 grad_norm: 3.0548 loss: 4.2924 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4626 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.8298 2023/02/01 09:06:46 - mmengine - INFO - Epoch(train) [90][ 160/1879] lr: 8.5563e-02 eta: 1 day, 20:14:41 time: 0.4946 data_time: 0.0389 memory: 18108 grad_norm: 3.0599 loss: 4.4285 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6412 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.7872 2023/02/01 09:06:56 - mmengine - INFO - Epoch(train) [90][ 180/1879] lr: 8.5557e-02 eta: 1 day, 20:14:30 time: 0.4881 data_time: 0.0348 memory: 18108 grad_norm: 3.1130 loss: 4.2027 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3928 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8099 2023/02/01 09:07:05 - mmengine - INFO - Epoch(train) [90][ 200/1879] lr: 8.5552e-02 eta: 1 day, 20:14:19 time: 0.4812 data_time: 0.0321 memory: 18108 grad_norm: 3.1024 loss: 4.3645 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4651 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8993 2023/02/01 09:07:15 - mmengine - INFO - Epoch(train) [90][ 220/1879] lr: 8.5547e-02 eta: 1 day, 20:14:09 time: 0.5123 data_time: 0.0419 memory: 18108 grad_norm: 3.0940 loss: 4.2386 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4894 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.7492 2023/02/01 09:07:25 - mmengine - INFO - Epoch(train) [90][ 240/1879] lr: 8.5541e-02 eta: 1 day, 20:13:58 time: 0.4855 data_time: 0.0336 memory: 18108 grad_norm: 3.0824 loss: 4.4514 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5824 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8690 2023/02/01 09:07:35 - mmengine - INFO - Epoch(train) [90][ 260/1879] lr: 8.5536e-02 eta: 1 day, 20:13:48 time: 0.4966 data_time: 0.0374 memory: 18108 grad_norm: 3.0956 loss: 4.5895 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7051 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8844 2023/02/01 09:07:45 - mmengine - INFO - Epoch(train) [90][ 280/1879] lr: 8.5531e-02 eta: 1 day, 20:13:37 time: 0.4882 data_time: 0.0350 memory: 18108 grad_norm: 3.0973 loss: 4.3042 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3564 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.9478 2023/02/01 09:07:55 - mmengine - INFO - Epoch(train) [90][ 300/1879] lr: 8.5525e-02 eta: 1 day, 20:13:27 time: 0.5205 data_time: 0.0431 memory: 18108 grad_norm: 3.1985 loss: 4.3671 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5614 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.8058 2023/02/01 09:08:05 - mmengine - INFO - Epoch(train) [90][ 320/1879] lr: 8.5520e-02 eta: 1 day, 20:13:16 time: 0.4777 data_time: 0.0337 memory: 18108 grad_norm: 3.0783 loss: 4.5212 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6781 top1_acc_1: 0.5765 top5_acc_1: 0.8941 loss_cls_1: 1.8431 2023/02/01 09:08:15 - mmengine - INFO - Epoch(train) [90][ 340/1879] lr: 8.5515e-02 eta: 1 day, 20:13:05 time: 0.5018 data_time: 0.0353 memory: 18108 grad_norm: 3.0897 loss: 4.3658 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5020 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.8637 2023/02/01 09:08:25 - mmengine - INFO - Epoch(train) [90][ 360/1879] lr: 8.5510e-02 eta: 1 day, 20:12:54 time: 0.4815 data_time: 0.0354 memory: 18108 grad_norm: 3.0590 loss: 4.2632 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4690 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.7941 2023/02/01 09:08:35 - mmengine - INFO - Epoch(train) [90][ 380/1879] lr: 8.5504e-02 eta: 1 day, 20:12:44 time: 0.5134 data_time: 0.0429 memory: 18108 grad_norm: 3.1264 loss: 4.5677 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.7002 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 1.8675 2023/02/01 09:08:45 - mmengine - INFO - Epoch(train) [90][ 400/1879] lr: 8.5499e-02 eta: 1 day, 20:12:34 time: 0.5016 data_time: 0.0343 memory: 18108 grad_norm: 3.1263 loss: 4.4102 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.5333 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8769 2023/02/01 09:08:55 - mmengine - INFO - Epoch(train) [90][ 420/1879] lr: 8.5494e-02 eta: 1 day, 20:12:23 time: 0.4885 data_time: 0.0364 memory: 18108 grad_norm: 3.1011 loss: 4.3660 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5475 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8185 2023/02/01 09:09:05 - mmengine - INFO - Epoch(train) [90][ 440/1879] lr: 8.5488e-02 eta: 1 day, 20:12:12 time: 0.4981 data_time: 0.0342 memory: 18108 grad_norm: 3.0866 loss: 4.3698 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5675 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.8024 2023/02/01 09:09:15 - mmengine - INFO - Epoch(train) [90][ 460/1879] lr: 8.5483e-02 eta: 1 day, 20:12:03 time: 0.5166 data_time: 0.0340 memory: 18108 grad_norm: 3.1227 loss: 4.5774 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6366 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.9407 2023/02/01 09:09:25 - mmengine - INFO - Epoch(train) [90][ 480/1879] lr: 8.5478e-02 eta: 1 day, 20:11:52 time: 0.4925 data_time: 0.0318 memory: 18108 grad_norm: 3.0838 loss: 4.3262 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4327 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.8935 2023/02/01 09:09:35 - mmengine - INFO - Epoch(train) [90][ 500/1879] lr: 8.5472e-02 eta: 1 day, 20:11:42 time: 0.5037 data_time: 0.0334 memory: 18108 grad_norm: 3.0673 loss: 4.5660 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.6624 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.9036 2023/02/01 09:09:45 - mmengine - INFO - Epoch(train) [90][ 520/1879] lr: 8.5467e-02 eta: 1 day, 20:11:31 time: 0.5018 data_time: 0.0336 memory: 18108 grad_norm: 3.0506 loss: 4.4252 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.4979 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.9273 2023/02/01 09:09:55 - mmengine - INFO - Epoch(train) [90][ 540/1879] lr: 8.5462e-02 eta: 1 day, 20:11:21 time: 0.5105 data_time: 0.0345 memory: 18108 grad_norm: 3.0904 loss: 4.5620 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7812 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.7808 2023/02/01 09:10:05 - mmengine - INFO - Epoch(train) [90][ 560/1879] lr: 8.5457e-02 eta: 1 day, 20:11:10 time: 0.4940 data_time: 0.0350 memory: 18108 grad_norm: 3.0708 loss: 4.2621 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.4837 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.7784 2023/02/01 09:10:15 - mmengine - INFO - Epoch(train) [90][ 580/1879] lr: 8.5451e-02 eta: 1 day, 20:11:00 time: 0.4979 data_time: 0.0358 memory: 18108 grad_norm: 3.0772 loss: 4.4948 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6744 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8204 2023/02/01 09:10:25 - mmengine - INFO - Epoch(train) [90][ 600/1879] lr: 8.5446e-02 eta: 1 day, 20:10:50 time: 0.5168 data_time: 0.0405 memory: 18108 grad_norm: 3.0767 loss: 4.4025 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5324 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8701 2023/02/01 09:10:35 - mmengine - INFO - Epoch(train) [90][ 620/1879] lr: 8.5441e-02 eta: 1 day, 20:10:39 time: 0.4943 data_time: 0.0378 memory: 18108 grad_norm: 3.1862 loss: 4.5161 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.6793 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8368 2023/02/01 09:10:45 - mmengine - INFO - Epoch(train) [90][ 640/1879] lr: 8.5435e-02 eta: 1 day, 20:10:29 time: 0.4960 data_time: 0.0301 memory: 18108 grad_norm: 3.1817 loss: 4.5222 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6919 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8303 2023/02/01 09:10:55 - mmengine - INFO - Epoch(train) [90][ 660/1879] lr: 8.5430e-02 eta: 1 day, 20:10:18 time: 0.4987 data_time: 0.0352 memory: 18108 grad_norm: 3.0923 loss: 4.3998 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4675 top1_acc_1: 0.5176 top5_acc_1: 0.8471 loss_cls_1: 1.9323 2023/02/01 09:11:05 - mmengine - INFO - Epoch(train) [90][ 680/1879] lr: 8.5425e-02 eta: 1 day, 20:10:08 time: 0.5035 data_time: 0.0355 memory: 18108 grad_norm: 3.1022 loss: 4.4434 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5885 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8548 2023/02/01 09:11:15 - mmengine - INFO - Epoch(train) [90][ 700/1879] lr: 8.5419e-02 eta: 1 day, 20:09:58 time: 0.5036 data_time: 0.0379 memory: 18108 grad_norm: 3.1442 loss: 4.5616 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.6382 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.9234 2023/02/01 09:11:26 - mmengine - INFO - Epoch(train) [90][ 720/1879] lr: 8.5414e-02 eta: 1 day, 20:09:48 time: 0.5092 data_time: 0.0300 memory: 18108 grad_norm: 3.1023 loss: 4.4313 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7098 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.7215 2023/02/01 09:11:36 - mmengine - INFO - Epoch(train) [90][ 740/1879] lr: 8.5409e-02 eta: 1 day, 20:09:38 time: 0.5195 data_time: 0.0424 memory: 18108 grad_norm: 3.1253 loss: 4.2248 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3728 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.8520 2023/02/01 09:11:46 - mmengine - INFO - Epoch(train) [90][ 760/1879] lr: 8.5403e-02 eta: 1 day, 20:09:28 time: 0.5064 data_time: 0.0312 memory: 18108 grad_norm: 3.1184 loss: 4.4422 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6682 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.7739 2023/02/01 09:11:51 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 09:11:57 - mmengine - INFO - Epoch(train) [90][ 780/1879] lr: 8.5398e-02 eta: 1 day, 20:09:18 time: 0.5267 data_time: 0.0355 memory: 18108 grad_norm: 3.0898 loss: 4.7671 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7731 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.9940 2023/02/01 09:12:07 - mmengine - INFO - Epoch(train) [90][ 800/1879] lr: 8.5393e-02 eta: 1 day, 20:09:08 time: 0.4942 data_time: 0.0307 memory: 18108 grad_norm: 3.0696 loss: 4.2866 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.4250 top1_acc_1: 0.4235 top5_acc_1: 0.8118 loss_cls_1: 1.8616 2023/02/01 09:12:17 - mmengine - INFO - Epoch(train) [90][ 820/1879] lr: 8.5387e-02 eta: 1 day, 20:08:58 time: 0.5292 data_time: 0.0457 memory: 18108 grad_norm: 3.0713 loss: 4.1319 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4014 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7305 2023/02/01 09:12:27 - mmengine - INFO - Epoch(train) [90][ 840/1879] lr: 8.5382e-02 eta: 1 day, 20:08:48 time: 0.5009 data_time: 0.0302 memory: 18108 grad_norm: 3.1320 loss: 4.6883 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7791 top1_acc_1: 0.5529 top5_acc_1: 0.7059 loss_cls_1: 1.9092 2023/02/01 09:12:37 - mmengine - INFO - Epoch(train) [90][ 860/1879] lr: 8.5377e-02 eta: 1 day, 20:08:37 time: 0.5033 data_time: 0.0371 memory: 18108 grad_norm: 3.1231 loss: 4.5719 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.7083 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.8637 2023/02/01 09:12:47 - mmengine - INFO - Epoch(train) [90][ 880/1879] lr: 8.5371e-02 eta: 1 day, 20:08:27 time: 0.5105 data_time: 0.0308 memory: 18108 grad_norm: 3.0652 loss: 4.3941 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4559 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.9382 2023/02/01 09:12:57 - mmengine - INFO - Epoch(train) [90][ 900/1879] lr: 8.5366e-02 eta: 1 day, 20:08:17 time: 0.4978 data_time: 0.0437 memory: 18108 grad_norm: 3.0877 loss: 4.3436 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4540 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.8896 2023/02/01 09:13:07 - mmengine - INFO - Epoch(train) [90][ 920/1879] lr: 8.5361e-02 eta: 1 day, 20:08:06 time: 0.4951 data_time: 0.0283 memory: 18108 grad_norm: 3.1186 loss: 4.6517 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.8261 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.8257 2023/02/01 09:13:17 - mmengine - INFO - Epoch(train) [90][ 940/1879] lr: 8.5355e-02 eta: 1 day, 20:07:56 time: 0.5001 data_time: 0.0381 memory: 18108 grad_norm: 3.0508 loss: 4.3476 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5198 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.8278 2023/02/01 09:13:27 - mmengine - INFO - Epoch(train) [90][ 960/1879] lr: 8.5350e-02 eta: 1 day, 20:07:45 time: 0.4925 data_time: 0.0384 memory: 18108 grad_norm: 3.1204 loss: 4.6155 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.7637 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.8517 2023/02/01 09:13:37 - mmengine - INFO - Epoch(train) [90][ 980/1879] lr: 8.5345e-02 eta: 1 day, 20:07:34 time: 0.4933 data_time: 0.0377 memory: 18108 grad_norm: 3.0501 loss: 4.2754 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4986 top1_acc_1: 0.6118 top5_acc_1: 0.7412 loss_cls_1: 1.7768 2023/02/01 09:13:47 - mmengine - INFO - Epoch(train) [90][1000/1879] lr: 8.5339e-02 eta: 1 day, 20:07:23 time: 0.4858 data_time: 0.0301 memory: 18108 grad_norm: 3.1098 loss: 4.2870 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4282 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8588 2023/02/01 09:13:57 - mmengine - INFO - Epoch(train) [90][1020/1879] lr: 8.5334e-02 eta: 1 day, 20:07:13 time: 0.4928 data_time: 0.0377 memory: 18108 grad_norm: 3.0484 loss: 4.6697 top1_acc_0: 0.0625 top5_acc_0: 0.3750 loss_cls_0: 2.7721 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8976 2023/02/01 09:14:07 - mmengine - INFO - Epoch(train) [90][1040/1879] lr: 8.5329e-02 eta: 1 day, 20:07:02 time: 0.4920 data_time: 0.0322 memory: 18108 grad_norm: 3.1224 loss: 4.5443 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.6815 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.8628 2023/02/01 09:14:16 - mmengine - INFO - Epoch(train) [90][1060/1879] lr: 8.5324e-02 eta: 1 day, 20:06:51 time: 0.4958 data_time: 0.0384 memory: 18108 grad_norm: 3.1220 loss: 4.4404 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4720 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.9685 2023/02/01 09:14:26 - mmengine - INFO - Epoch(train) [90][1080/1879] lr: 8.5318e-02 eta: 1 day, 20:06:40 time: 0.4828 data_time: 0.0304 memory: 18108 grad_norm: 3.0818 loss: 4.5706 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.6396 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.9310 2023/02/01 09:14:36 - mmengine - INFO - Epoch(train) [90][1100/1879] lr: 8.5313e-02 eta: 1 day, 20:06:30 time: 0.5053 data_time: 0.0444 memory: 18108 grad_norm: 3.0899 loss: 4.5049 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7178 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.7870 2023/02/01 09:14:46 - mmengine - INFO - Epoch(train) [90][1120/1879] lr: 8.5308e-02 eta: 1 day, 20:06:19 time: 0.4940 data_time: 0.0298 memory: 18108 grad_norm: 3.0786 loss: 4.5776 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7154 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8622 2023/02/01 09:14:56 - mmengine - INFO - Epoch(train) [90][1140/1879] lr: 8.5302e-02 eta: 1 day, 20:06:08 time: 0.4902 data_time: 0.0383 memory: 18108 grad_norm: 3.0744 loss: 4.4940 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5515 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.9426 2023/02/01 09:15:06 - mmengine - INFO - Epoch(train) [90][1160/1879] lr: 8.5297e-02 eta: 1 day, 20:05:58 time: 0.4953 data_time: 0.0294 memory: 18108 grad_norm: 3.0778 loss: 4.6525 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7337 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9188 2023/02/01 09:15:16 - mmengine - INFO - Epoch(train) [90][1180/1879] lr: 8.5292e-02 eta: 1 day, 20:05:48 time: 0.5028 data_time: 0.0398 memory: 18108 grad_norm: 3.0315 loss: 4.5372 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7325 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8047 2023/02/01 09:15:26 - mmengine - INFO - Epoch(train) [90][1200/1879] lr: 8.5286e-02 eta: 1 day, 20:05:37 time: 0.4854 data_time: 0.0285 memory: 18108 grad_norm: 3.0550 loss: 4.6852 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.9043 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.7809 2023/02/01 09:15:36 - mmengine - INFO - Epoch(train) [90][1220/1879] lr: 8.5281e-02 eta: 1 day, 20:05:26 time: 0.5031 data_time: 0.0408 memory: 18108 grad_norm: 3.0383 loss: 4.4816 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7153 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.7663 2023/02/01 09:15:46 - mmengine - INFO - Epoch(train) [90][1240/1879] lr: 8.5276e-02 eta: 1 day, 20:05:16 time: 0.4953 data_time: 0.0354 memory: 18108 grad_norm: 3.1442 loss: 4.5991 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6981 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 1.9010 2023/02/01 09:15:56 - mmengine - INFO - Epoch(train) [90][1260/1879] lr: 8.5270e-02 eta: 1 day, 20:05:05 time: 0.5001 data_time: 0.0357 memory: 18108 grad_norm: 3.1174 loss: 4.3558 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5602 top1_acc_1: 0.5765 top5_acc_1: 0.7294 loss_cls_1: 1.7956 2023/02/01 09:16:06 - mmengine - INFO - Epoch(train) [90][1280/1879] lr: 8.5265e-02 eta: 1 day, 20:04:55 time: 0.4999 data_time: 0.0302 memory: 18108 grad_norm: 3.0611 loss: 4.4661 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5513 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 1.9148 2023/02/01 09:16:16 - mmengine - INFO - Epoch(train) [90][1300/1879] lr: 8.5259e-02 eta: 1 day, 20:04:45 time: 0.5097 data_time: 0.0370 memory: 18108 grad_norm: 3.1341 loss: 4.6483 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6948 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.9535 2023/02/01 09:16:26 - mmengine - INFO - Epoch(train) [90][1320/1879] lr: 8.5254e-02 eta: 1 day, 20:04:34 time: 0.5016 data_time: 0.0297 memory: 18108 grad_norm: 3.1070 loss: 4.3133 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4116 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.9017 2023/02/01 09:16:36 - mmengine - INFO - Epoch(train) [90][1340/1879] lr: 8.5249e-02 eta: 1 day, 20:04:24 time: 0.5112 data_time: 0.0379 memory: 18108 grad_norm: 3.1017 loss: 4.6287 top1_acc_0: 0.3125 top5_acc_0: 0.3125 loss_cls_0: 2.6802 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.9485 2023/02/01 09:16:46 - mmengine - INFO - Epoch(train) [90][1360/1879] lr: 8.5243e-02 eta: 1 day, 20:04:14 time: 0.5038 data_time: 0.0298 memory: 18108 grad_norm: 3.1177 loss: 4.4023 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.5133 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.8890 2023/02/01 09:16:56 - mmengine - INFO - Epoch(train) [90][1380/1879] lr: 8.5238e-02 eta: 1 day, 20:04:04 time: 0.5016 data_time: 0.0419 memory: 18108 grad_norm: 3.0880 loss: 4.2820 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4476 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.8344 2023/02/01 09:17:07 - mmengine - INFO - Epoch(train) [90][1400/1879] lr: 8.5233e-02 eta: 1 day, 20:03:53 time: 0.5113 data_time: 0.0309 memory: 18108 grad_norm: 3.0751 loss: 4.5234 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7036 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.8198 2023/02/01 09:17:16 - mmengine - INFO - Epoch(train) [90][1420/1879] lr: 8.5227e-02 eta: 1 day, 20:03:43 time: 0.4974 data_time: 0.0365 memory: 18108 grad_norm: 3.0258 loss: 4.5755 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7158 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8597 2023/02/01 09:17:27 - mmengine - INFO - Epoch(train) [90][1440/1879] lr: 8.5222e-02 eta: 1 day, 20:03:33 time: 0.5017 data_time: 0.0345 memory: 18108 grad_norm: 3.0562 loss: 4.4266 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.5952 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.8313 2023/02/01 09:17:36 - mmengine - INFO - Epoch(train) [90][1460/1879] lr: 8.5217e-02 eta: 1 day, 20:03:22 time: 0.4956 data_time: 0.0368 memory: 18108 grad_norm: 3.0874 loss: 4.2414 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3637 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8777 2023/02/01 09:17:46 - mmengine - INFO - Epoch(train) [90][1480/1879] lr: 8.5211e-02 eta: 1 day, 20:03:11 time: 0.4919 data_time: 0.0295 memory: 18108 grad_norm: 3.1599 loss: 4.5448 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6303 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.9145 2023/02/01 09:17:56 - mmengine - INFO - Epoch(train) [90][1500/1879] lr: 8.5206e-02 eta: 1 day, 20:03:01 time: 0.5007 data_time: 0.0387 memory: 18108 grad_norm: 3.1053 loss: 4.5185 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5826 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.9359 2023/02/01 09:18:06 - mmengine - INFO - Epoch(train) [90][1520/1879] lr: 8.5201e-02 eta: 1 day, 20:02:50 time: 0.5015 data_time: 0.0366 memory: 18108 grad_norm: 3.0737 loss: 4.4246 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6438 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 1.7808 2023/02/01 09:18:17 - mmengine - INFO - Epoch(train) [90][1540/1879] lr: 8.5195e-02 eta: 1 day, 20:02:40 time: 0.5083 data_time: 0.0391 memory: 18108 grad_norm: 3.0758 loss: 4.4417 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6164 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.8253 2023/02/01 09:18:26 - mmengine - INFO - Epoch(train) [90][1560/1879] lr: 8.5190e-02 eta: 1 day, 20:02:30 time: 0.4958 data_time: 0.0303 memory: 18108 grad_norm: 3.0591 loss: 4.2548 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4269 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.8278 2023/02/01 09:18:37 - mmengine - INFO - Epoch(train) [90][1580/1879] lr: 8.5185e-02 eta: 1 day, 20:02:20 time: 0.5183 data_time: 0.0447 memory: 18108 grad_norm: 3.0750 loss: 4.2103 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.3804 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8299 2023/02/01 09:18:47 - mmengine - INFO - Epoch(train) [90][1600/1879] lr: 8.5179e-02 eta: 1 day, 20:02:10 time: 0.5075 data_time: 0.0294 memory: 18108 grad_norm: 3.1058 loss: 4.5193 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7380 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7814 2023/02/01 09:18:57 - mmengine - INFO - Epoch(train) [90][1620/1879] lr: 8.5174e-02 eta: 1 day, 20:02:00 time: 0.5147 data_time: 0.0359 memory: 18108 grad_norm: 3.0679 loss: 4.4635 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5260 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.9374 2023/02/01 09:19:07 - mmengine - INFO - Epoch(train) [90][1640/1879] lr: 8.5169e-02 eta: 1 day, 20:01:49 time: 0.5005 data_time: 0.0296 memory: 18108 grad_norm: 3.0870 loss: 4.5494 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6722 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.8771 2023/02/01 09:19:18 - mmengine - INFO - Epoch(train) [90][1660/1879] lr: 8.5163e-02 eta: 1 day, 20:01:39 time: 0.5117 data_time: 0.0431 memory: 18108 grad_norm: 3.0686 loss: 4.6135 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.6443 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.9691 2023/02/01 09:19:28 - mmengine - INFO - Epoch(train) [90][1680/1879] lr: 8.5158e-02 eta: 1 day, 20:01:29 time: 0.5043 data_time: 0.0286 memory: 18108 grad_norm: 3.0801 loss: 4.4354 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5481 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.8873 2023/02/01 09:19:38 - mmengine - INFO - Epoch(train) [90][1700/1879] lr: 8.5153e-02 eta: 1 day, 20:01:20 time: 0.5351 data_time: 0.0349 memory: 18108 grad_norm: 3.1216 loss: 4.2990 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.4066 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8923 2023/02/01 09:19:48 - mmengine - INFO - Epoch(train) [90][1720/1879] lr: 8.5147e-02 eta: 1 day, 20:01:10 time: 0.5031 data_time: 0.0344 memory: 18108 grad_norm: 3.0924 loss: 4.3857 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4855 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.9002 2023/02/01 09:19:59 - mmengine - INFO - Epoch(train) [90][1740/1879] lr: 8.5142e-02 eta: 1 day, 20:01:00 time: 0.5145 data_time: 0.0356 memory: 18108 grad_norm: 3.0195 loss: 4.3752 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5419 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8334 2023/02/01 09:20:09 - mmengine - INFO - Epoch(train) [90][1760/1879] lr: 8.5136e-02 eta: 1 day, 20:00:50 time: 0.5233 data_time: 0.0293 memory: 18108 grad_norm: 3.1097 loss: 4.5430 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6224 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.9206 2023/02/01 09:20:14 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 09:20:20 - mmengine - INFO - Epoch(train) [90][1780/1879] lr: 8.5131e-02 eta: 1 day, 20:00:41 time: 0.5289 data_time: 0.0511 memory: 18108 grad_norm: 3.0447 loss: 4.4423 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5417 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.9006 2023/02/01 09:20:30 - mmengine - INFO - Epoch(train) [90][1800/1879] lr: 8.5126e-02 eta: 1 day, 20:00:30 time: 0.4981 data_time: 0.0351 memory: 18108 grad_norm: 3.0550 loss: 4.6045 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7626 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.8419 2023/02/01 09:20:40 - mmengine - INFO - Epoch(train) [90][1820/1879] lr: 8.5120e-02 eta: 1 day, 20:00:20 time: 0.5133 data_time: 0.0333 memory: 18108 grad_norm: 3.0777 loss: 4.3834 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4943 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.8891 2023/02/01 09:20:50 - mmengine - INFO - Epoch(train) [90][1840/1879] lr: 8.5115e-02 eta: 1 day, 20:00:10 time: 0.5080 data_time: 0.0354 memory: 18108 grad_norm: 3.0818 loss: 4.4890 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.6454 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.8436 2023/02/01 09:21:00 - mmengine - INFO - Epoch(train) [90][1860/1879] lr: 8.5110e-02 eta: 1 day, 20:00:00 time: 0.5095 data_time: 0.0428 memory: 18108 grad_norm: 3.1281 loss: 4.4165 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5660 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.8505 2023/02/01 09:21:10 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 09:21:10 - mmengine - INFO - Epoch(train) [90][1879/1879] lr: 8.5105e-02 eta: 1 day, 19:59:50 time: 0.4838 data_time: 0.0311 memory: 18108 grad_norm: 3.1786 loss: 4.6136 top1_acc_0: 0.5714 top5_acc_0: 0.7143 loss_cls_0: 2.7998 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.8139 2023/02/01 09:21:25 - mmengine - INFO - Epoch(train) [91][ 20/1879] lr: 8.5099e-02 eta: 1 day, 19:59:47 time: 0.7175 data_time: 0.2463 memory: 18108 grad_norm: 3.0747 loss: 4.5560 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7106 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8453 2023/02/01 09:21:34 - mmengine - INFO - Epoch(train) [91][ 40/1879] lr: 8.5094e-02 eta: 1 day, 19:59:36 time: 0.4714 data_time: 0.0330 memory: 18108 grad_norm: 3.0394 loss: 4.2999 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4781 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 1.8217 2023/02/01 09:21:44 - mmengine - INFO - Epoch(train) [91][ 60/1879] lr: 8.5088e-02 eta: 1 day, 19:59:25 time: 0.5022 data_time: 0.0391 memory: 18108 grad_norm: 3.0216 loss: 4.6355 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.8177 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.8178 2023/02/01 09:21:55 - mmengine - INFO - Epoch(train) [91][ 80/1879] lr: 8.5083e-02 eta: 1 day, 19:59:16 time: 0.5270 data_time: 0.0295 memory: 18108 grad_norm: 3.0679 loss: 4.2999 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5462 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.7538 2023/02/01 09:22:05 - mmengine - INFO - Epoch(train) [91][ 100/1879] lr: 8.5078e-02 eta: 1 day, 19:59:05 time: 0.5001 data_time: 0.0388 memory: 18108 grad_norm: 3.0945 loss: 4.3405 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5378 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8027 2023/02/01 09:22:15 - mmengine - INFO - Epoch(train) [91][ 120/1879] lr: 8.5072e-02 eta: 1 day, 19:58:55 time: 0.5020 data_time: 0.0297 memory: 18108 grad_norm: 3.0780 loss: 4.3212 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5030 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.8181 2023/02/01 09:22:26 - mmengine - INFO - Epoch(train) [91][ 140/1879] lr: 8.5067e-02 eta: 1 day, 19:58:46 time: 0.5371 data_time: 0.0422 memory: 18108 grad_norm: 3.1278 loss: 4.4318 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6393 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.7926 2023/02/01 09:22:36 - mmengine - INFO - Epoch(train) [91][ 160/1879] lr: 8.5062e-02 eta: 1 day, 19:58:36 time: 0.5079 data_time: 0.0287 memory: 18108 grad_norm: 3.1092 loss: 4.7387 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 2.9564 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.7823 2023/02/01 09:22:46 - mmengine - INFO - Epoch(train) [91][ 180/1879] lr: 8.5056e-02 eta: 1 day, 19:58:25 time: 0.4973 data_time: 0.0359 memory: 18108 grad_norm: 3.0505 loss: 4.5137 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.6863 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8275 2023/02/01 09:22:56 - mmengine - INFO - Epoch(train) [91][ 200/1879] lr: 8.5051e-02 eta: 1 day, 19:58:15 time: 0.5118 data_time: 0.0355 memory: 18108 grad_norm: 3.1152 loss: 4.2804 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4955 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7849 2023/02/01 09:23:06 - mmengine - INFO - Epoch(train) [91][ 220/1879] lr: 8.5046e-02 eta: 1 day, 19:58:06 time: 0.5236 data_time: 0.0353 memory: 18108 grad_norm: 3.1031 loss: 4.4578 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5865 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8712 2023/02/01 09:23:16 - mmengine - INFO - Epoch(train) [91][ 240/1879] lr: 8.5040e-02 eta: 1 day, 19:57:55 time: 0.4960 data_time: 0.0315 memory: 18108 grad_norm: 3.1137 loss: 4.5477 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7376 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8100 2023/02/01 09:23:27 - mmengine - INFO - Epoch(train) [91][ 260/1879] lr: 8.5035e-02 eta: 1 day, 19:57:46 time: 0.5264 data_time: 0.0448 memory: 18108 grad_norm: 3.1130 loss: 4.5758 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6457 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.9301 2023/02/01 09:23:37 - mmengine - INFO - Epoch(train) [91][ 280/1879] lr: 8.5029e-02 eta: 1 day, 19:57:36 time: 0.5243 data_time: 0.0305 memory: 18108 grad_norm: 3.0742 loss: 4.2755 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.4289 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8466 2023/02/01 09:23:48 - mmengine - INFO - Epoch(train) [91][ 300/1879] lr: 8.5024e-02 eta: 1 day, 19:57:26 time: 0.5202 data_time: 0.0364 memory: 18108 grad_norm: 3.1813 loss: 4.2552 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4853 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.7699 2023/02/01 09:23:58 - mmengine - INFO - Epoch(train) [91][ 320/1879] lr: 8.5019e-02 eta: 1 day, 19:57:16 time: 0.5154 data_time: 0.0356 memory: 18108 grad_norm: 3.0860 loss: 4.2744 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3892 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.8852 2023/02/01 09:24:09 - mmengine - INFO - Epoch(train) [91][ 340/1879] lr: 8.5013e-02 eta: 1 day, 19:57:07 time: 0.5240 data_time: 0.0372 memory: 18108 grad_norm: 3.0873 loss: 4.4420 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5287 top1_acc_1: 0.4706 top5_acc_1: 0.7059 loss_cls_1: 1.9133 2023/02/01 09:24:19 - mmengine - INFO - Epoch(train) [91][ 360/1879] lr: 8.5008e-02 eta: 1 day, 19:56:57 time: 0.5236 data_time: 0.0284 memory: 18108 grad_norm: 3.0599 loss: 4.3120 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5382 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.7738 2023/02/01 09:24:30 - mmengine - INFO - Epoch(train) [91][ 380/1879] lr: 8.5003e-02 eta: 1 day, 19:56:48 time: 0.5210 data_time: 0.0473 memory: 18108 grad_norm: 3.0643 loss: 4.3804 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4761 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9043 2023/02/01 09:24:40 - mmengine - INFO - Epoch(train) [91][ 400/1879] lr: 8.4997e-02 eta: 1 day, 19:56:38 time: 0.5162 data_time: 0.0287 memory: 18108 grad_norm: 3.0901 loss: 4.1489 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3301 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.8188 2023/02/01 09:24:50 - mmengine - INFO - Epoch(train) [91][ 420/1879] lr: 8.4992e-02 eta: 1 day, 19:56:28 time: 0.5144 data_time: 0.0361 memory: 18108 grad_norm: 3.1139 loss: 4.5027 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.6006 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 1.9022 2023/02/01 09:25:01 - mmengine - INFO - Epoch(train) [91][ 440/1879] lr: 8.4986e-02 eta: 1 day, 19:56:18 time: 0.5231 data_time: 0.0292 memory: 18108 grad_norm: 3.0782 loss: 4.3406 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4709 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.8697 2023/02/01 09:25:11 - mmengine - INFO - Epoch(train) [91][ 460/1879] lr: 8.4981e-02 eta: 1 day, 19:56:08 time: 0.5070 data_time: 0.0443 memory: 18108 grad_norm: 3.0673 loss: 4.3460 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5981 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7479 2023/02/01 09:25:21 - mmengine - INFO - Epoch(train) [91][ 480/1879] lr: 8.4976e-02 eta: 1 day, 19:55:59 time: 0.5290 data_time: 0.0295 memory: 18108 grad_norm: 3.1077 loss: 4.3645 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.4847 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.8798 2023/02/01 09:25:32 - mmengine - INFO - Epoch(train) [91][ 500/1879] lr: 8.4970e-02 eta: 1 day, 19:55:49 time: 0.5104 data_time: 0.0376 memory: 18108 grad_norm: 3.0814 loss: 4.4261 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5559 top1_acc_1: 0.5412 top5_acc_1: 0.8588 loss_cls_1: 1.8702 2023/02/01 09:25:42 - mmengine - INFO - Epoch(train) [91][ 520/1879] lr: 8.4965e-02 eta: 1 day, 19:55:39 time: 0.5190 data_time: 0.0370 memory: 18108 grad_norm: 3.0750 loss: 4.5975 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6861 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.9114 2023/02/01 09:25:52 - mmengine - INFO - Epoch(train) [91][ 540/1879] lr: 8.4959e-02 eta: 1 day, 19:55:29 time: 0.5104 data_time: 0.0388 memory: 18108 grad_norm: 3.0737 loss: 4.3036 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4931 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.8105 2023/02/01 09:26:02 - mmengine - INFO - Epoch(train) [91][ 560/1879] lr: 8.4954e-02 eta: 1 day, 19:55:19 time: 0.5081 data_time: 0.0283 memory: 18108 grad_norm: 3.0961 loss: 4.2453 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3708 top1_acc_1: 0.5294 top5_acc_1: 0.8588 loss_cls_1: 1.8745 2023/02/01 09:26:13 - mmengine - INFO - Epoch(train) [91][ 580/1879] lr: 8.4949e-02 eta: 1 day, 19:55:09 time: 0.5135 data_time: 0.0414 memory: 18108 grad_norm: 3.0954 loss: 4.4427 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.5858 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.8569 2023/02/01 09:26:23 - mmengine - INFO - Epoch(train) [91][ 600/1879] lr: 8.4943e-02 eta: 1 day, 19:54:59 time: 0.5126 data_time: 0.0295 memory: 18108 grad_norm: 3.0904 loss: 4.3986 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5451 top1_acc_1: 0.4588 top5_acc_1: 0.7882 loss_cls_1: 1.8535 2023/02/01 09:26:33 - mmengine - INFO - Epoch(train) [91][ 620/1879] lr: 8.4938e-02 eta: 1 day, 19:54:48 time: 0.5041 data_time: 0.0379 memory: 18108 grad_norm: 3.1802 loss: 4.4428 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5287 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.9141 2023/02/01 09:26:43 - mmengine - INFO - Epoch(train) [91][ 640/1879] lr: 8.4933e-02 eta: 1 day, 19:54:38 time: 0.4956 data_time: 0.0350 memory: 18108 grad_norm: 3.1710 loss: 4.3543 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5254 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.8290 2023/02/01 09:26:53 - mmengine - INFO - Epoch(train) [91][ 660/1879] lr: 8.4927e-02 eta: 1 day, 19:54:27 time: 0.4985 data_time: 0.0381 memory: 18108 grad_norm: 3.1603 loss: 4.4476 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6404 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8072 2023/02/01 09:27:03 - mmengine - INFO - Epoch(train) [91][ 680/1879] lr: 8.4922e-02 eta: 1 day, 19:54:17 time: 0.5018 data_time: 0.0292 memory: 18108 grad_norm: 3.1270 loss: 4.5088 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6659 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 1.8429 2023/02/01 09:27:13 - mmengine - INFO - Epoch(train) [91][ 700/1879] lr: 8.4916e-02 eta: 1 day, 19:54:07 time: 0.5119 data_time: 0.0453 memory: 18108 grad_norm: 3.1628 loss: 4.4095 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.4806 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.9288 2023/02/01 09:27:23 - mmengine - INFO - Epoch(train) [91][ 720/1879] lr: 8.4911e-02 eta: 1 day, 19:53:57 time: 0.5025 data_time: 0.0318 memory: 18108 grad_norm: 3.1108 loss: 4.2045 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4307 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.7737 2023/02/01 09:27:34 - mmengine - INFO - Epoch(train) [91][ 740/1879] lr: 8.4906e-02 eta: 1 day, 19:53:47 time: 0.5155 data_time: 0.0386 memory: 18108 grad_norm: 3.0559 loss: 4.3416 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5854 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.7562 2023/02/01 09:27:44 - mmengine - INFO - Epoch(train) [91][ 760/1879] lr: 8.4900e-02 eta: 1 day, 19:53:36 time: 0.5000 data_time: 0.0292 memory: 18108 grad_norm: 3.1004 loss: 4.4619 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5748 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8871 2023/02/01 09:27:54 - mmengine - INFO - Epoch(train) [91][ 780/1879] lr: 8.4895e-02 eta: 1 day, 19:53:26 time: 0.5069 data_time: 0.0445 memory: 18108 grad_norm: 3.1052 loss: 4.4500 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.5305 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.9195 2023/02/01 09:28:04 - mmengine - INFO - Epoch(train) [91][ 800/1879] lr: 8.4889e-02 eta: 1 day, 19:53:16 time: 0.5000 data_time: 0.0315 memory: 18108 grad_norm: 3.0418 loss: 4.5090 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.5354 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.9736 2023/02/01 09:28:14 - mmengine - INFO - Epoch(train) [91][ 820/1879] lr: 8.4884e-02 eta: 1 day, 19:53:06 time: 0.5082 data_time: 0.0375 memory: 18108 grad_norm: 3.0870 loss: 4.3678 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5157 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8521 2023/02/01 09:28:24 - mmengine - INFO - Epoch(train) [91][ 840/1879] lr: 8.4879e-02 eta: 1 day, 19:52:55 time: 0.4924 data_time: 0.0384 memory: 18108 grad_norm: 3.1088 loss: 4.5553 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7310 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.8244 2023/02/01 09:28:34 - mmengine - INFO - Epoch(train) [91][ 860/1879] lr: 8.4873e-02 eta: 1 day, 19:52:44 time: 0.4961 data_time: 0.0371 memory: 18108 grad_norm: 3.0343 loss: 4.3947 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5184 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8762 2023/02/01 09:28:44 - mmengine - INFO - Epoch(train) [91][ 880/1879] lr: 8.4868e-02 eta: 1 day, 19:52:34 time: 0.5074 data_time: 0.0307 memory: 18108 grad_norm: 3.1166 loss: 4.3796 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5428 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.8368 2023/02/01 09:28:49 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 09:28:54 - mmengine - INFO - Epoch(train) [91][ 900/1879] lr: 8.4862e-02 eta: 1 day, 19:52:24 time: 0.5092 data_time: 0.0436 memory: 18108 grad_norm: 3.1555 loss: 4.4462 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6840 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.7622 2023/02/01 09:29:04 - mmengine - INFO - Epoch(train) [91][ 920/1879] lr: 8.4857e-02 eta: 1 day, 19:52:13 time: 0.4945 data_time: 0.0313 memory: 18108 grad_norm: 3.0840 loss: 4.5974 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6609 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9365 2023/02/01 09:29:14 - mmengine - INFO - Epoch(train) [91][ 940/1879] lr: 8.4852e-02 eta: 1 day, 19:52:03 time: 0.4938 data_time: 0.0383 memory: 18108 grad_norm: 3.0815 loss: 4.4603 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5626 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.8977 2023/02/01 09:29:24 - mmengine - INFO - Epoch(train) [91][ 960/1879] lr: 8.4846e-02 eta: 1 day, 19:51:53 time: 0.5184 data_time: 0.0316 memory: 18108 grad_norm: 3.0693 loss: 4.3441 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3931 top1_acc_1: 0.4471 top5_acc_1: 0.6941 loss_cls_1: 1.9510 2023/02/01 09:29:34 - mmengine - INFO - Epoch(train) [91][ 980/1879] lr: 8.4841e-02 eta: 1 day, 19:51:42 time: 0.5006 data_time: 0.0420 memory: 18108 grad_norm: 3.0942 loss: 4.5238 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6335 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.8904 2023/02/01 09:29:44 - mmengine - INFO - Epoch(train) [91][1000/1879] lr: 8.4835e-02 eta: 1 day, 19:51:32 time: 0.5009 data_time: 0.0297 memory: 18108 grad_norm: 3.1222 loss: 4.2945 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.4441 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.8504 2023/02/01 09:29:55 - mmengine - INFO - Epoch(train) [91][1020/1879] lr: 8.4830e-02 eta: 1 day, 19:51:22 time: 0.5155 data_time: 0.0365 memory: 18108 grad_norm: 3.0938 loss: 4.4958 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6556 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.8402 2023/02/01 09:30:05 - mmengine - INFO - Epoch(train) [91][1040/1879] lr: 8.4825e-02 eta: 1 day, 19:51:12 time: 0.5006 data_time: 0.0374 memory: 18108 grad_norm: 3.0991 loss: 4.5048 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7245 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.7802 2023/02/01 09:30:15 - mmengine - INFO - Epoch(train) [91][1060/1879] lr: 8.4819e-02 eta: 1 day, 19:51:01 time: 0.5019 data_time: 0.0368 memory: 18108 grad_norm: 3.0636 loss: 4.3490 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.3663 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9826 2023/02/01 09:30:25 - mmengine - INFO - Epoch(train) [91][1080/1879] lr: 8.4814e-02 eta: 1 day, 19:50:51 time: 0.4977 data_time: 0.0307 memory: 18108 grad_norm: 3.1117 loss: 4.5815 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.6414 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.9401 2023/02/01 09:30:35 - mmengine - INFO - Epoch(train) [91][1100/1879] lr: 8.4808e-02 eta: 1 day, 19:50:41 time: 0.5237 data_time: 0.0416 memory: 18108 grad_norm: 3.1567 loss: 4.5028 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.5678 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 1.9350 2023/02/01 09:30:45 - mmengine - INFO - Epoch(train) [91][1120/1879] lr: 8.4803e-02 eta: 1 day, 19:50:30 time: 0.4911 data_time: 0.0369 memory: 18108 grad_norm: 3.1165 loss: 4.3682 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5696 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.7986 2023/02/01 09:30:55 - mmengine - INFO - Epoch(train) [91][1140/1879] lr: 8.4798e-02 eta: 1 day, 19:50:20 time: 0.5022 data_time: 0.0317 memory: 18108 grad_norm: 3.0613 loss: 4.3371 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4115 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.9256 2023/02/01 09:31:05 - mmengine - INFO - Epoch(train) [91][1160/1879] lr: 8.4792e-02 eta: 1 day, 19:50:10 time: 0.5167 data_time: 0.0418 memory: 18108 grad_norm: 3.1097 loss: 4.7052 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.7601 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.9451 2023/02/01 09:31:15 - mmengine - INFO - Epoch(train) [91][1180/1879] lr: 8.4787e-02 eta: 1 day, 19:49:59 time: 0.4894 data_time: 0.0317 memory: 18108 grad_norm: 3.0623 loss: 4.4405 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6164 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8240 2023/02/01 09:31:25 - mmengine - INFO - Epoch(train) [91][1200/1879] lr: 8.4781e-02 eta: 1 day, 19:49:49 time: 0.4953 data_time: 0.0348 memory: 18108 grad_norm: 3.1075 loss: 4.3038 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4999 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.8039 2023/02/01 09:31:35 - mmengine - INFO - Epoch(train) [91][1220/1879] lr: 8.4776e-02 eta: 1 day, 19:49:39 time: 0.5087 data_time: 0.0322 memory: 18108 grad_norm: 3.0743 loss: 4.2342 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4723 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.7619 2023/02/01 09:31:46 - mmengine - INFO - Epoch(train) [91][1240/1879] lr: 8.4771e-02 eta: 1 day, 19:49:29 time: 0.5201 data_time: 0.0407 memory: 18108 grad_norm: 3.1610 loss: 4.4087 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5245 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.8842 2023/02/01 09:31:56 - mmengine - INFO - Epoch(train) [91][1260/1879] lr: 8.4765e-02 eta: 1 day, 19:49:18 time: 0.4924 data_time: 0.0309 memory: 18108 grad_norm: 3.0816 loss: 4.5933 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7107 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8826 2023/02/01 09:32:06 - mmengine - INFO - Epoch(train) [91][1280/1879] lr: 8.4760e-02 eta: 1 day, 19:49:08 time: 0.5156 data_time: 0.0359 memory: 18108 grad_norm: 3.0881 loss: 4.5816 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7662 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.8154 2023/02/01 09:32:16 - mmengine - INFO - Epoch(train) [91][1300/1879] lr: 8.4754e-02 eta: 1 day, 19:48:58 time: 0.5007 data_time: 0.0366 memory: 18108 grad_norm: 3.1126 loss: 4.4709 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5801 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8907 2023/02/01 09:32:26 - mmengine - INFO - Epoch(train) [91][1320/1879] lr: 8.4749e-02 eta: 1 day, 19:48:48 time: 0.4997 data_time: 0.0352 memory: 18108 grad_norm: 3.0980 loss: 4.5174 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6385 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.8790 2023/02/01 09:32:36 - mmengine - INFO - Epoch(train) [91][1340/1879] lr: 8.4743e-02 eta: 1 day, 19:48:37 time: 0.4980 data_time: 0.0304 memory: 18108 grad_norm: 3.0772 loss: 4.4331 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5803 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.8528 2023/02/01 09:32:46 - mmengine - INFO - Epoch(train) [91][1360/1879] lr: 8.4738e-02 eta: 1 day, 19:48:27 time: 0.5222 data_time: 0.0350 memory: 18108 grad_norm: 3.0739 loss: 4.5942 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.7090 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.8851 2023/02/01 09:32:57 - mmengine - INFO - Epoch(train) [91][1380/1879] lr: 8.4733e-02 eta: 1 day, 19:48:17 time: 0.5051 data_time: 0.0392 memory: 18108 grad_norm: 3.0338 loss: 4.5546 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7050 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.8496 2023/02/01 09:33:06 - mmengine - INFO - Epoch(train) [91][1400/1879] lr: 8.4727e-02 eta: 1 day, 19:48:06 time: 0.4915 data_time: 0.0360 memory: 18108 grad_norm: 3.0991 loss: 4.4769 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6394 top1_acc_1: 0.5059 top5_acc_1: 0.7059 loss_cls_1: 1.8376 2023/02/01 09:33:17 - mmengine - INFO - Epoch(train) [91][1420/1879] lr: 8.4722e-02 eta: 1 day, 19:47:56 time: 0.5120 data_time: 0.0310 memory: 18108 grad_norm: 3.0637 loss: 4.4790 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6309 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8480 2023/02/01 09:33:27 - mmengine - INFO - Epoch(train) [91][1440/1879] lr: 8.4716e-02 eta: 1 day, 19:47:46 time: 0.4987 data_time: 0.0429 memory: 18108 grad_norm: 3.0677 loss: 4.4335 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5174 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.9161 2023/02/01 09:33:37 - mmengine - INFO - Epoch(train) [91][1460/1879] lr: 8.4711e-02 eta: 1 day, 19:47:35 time: 0.4999 data_time: 0.0327 memory: 18108 grad_norm: 3.0989 loss: 4.3280 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5508 top1_acc_1: 0.5059 top5_acc_1: 0.8235 loss_cls_1: 1.7772 2023/02/01 09:33:46 - mmengine - INFO - Epoch(train) [91][1480/1879] lr: 8.4706e-02 eta: 1 day, 19:47:25 time: 0.4931 data_time: 0.0366 memory: 18108 grad_norm: 3.0900 loss: 4.6945 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7992 top1_acc_1: 0.5765 top5_acc_1: 0.8824 loss_cls_1: 1.8953 2023/02/01 09:33:57 - mmengine - INFO - Epoch(train) [91][1500/1879] lr: 8.4700e-02 eta: 1 day, 19:47:15 time: 0.5161 data_time: 0.0317 memory: 18108 grad_norm: 3.1118 loss: 4.5220 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7114 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8106 2023/02/01 09:34:07 - mmengine - INFO - Epoch(train) [91][1520/1879] lr: 8.4695e-02 eta: 1 day, 19:47:04 time: 0.5007 data_time: 0.0444 memory: 18108 grad_norm: 3.0720 loss: 4.5009 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6973 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.8035 2023/02/01 09:34:17 - mmengine - INFO - Epoch(train) [91][1540/1879] lr: 8.4689e-02 eta: 1 day, 19:46:54 time: 0.4936 data_time: 0.0341 memory: 18108 grad_norm: 3.0576 loss: 4.3434 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4968 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8466 2023/02/01 09:34:27 - mmengine - INFO - Epoch(train) [91][1560/1879] lr: 8.4684e-02 eta: 1 day, 19:46:44 time: 0.5142 data_time: 0.0352 memory: 18108 grad_norm: 3.1144 loss: 4.3559 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.4773 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.8786 2023/02/01 09:34:37 - mmengine - INFO - Epoch(train) [91][1580/1879] lr: 8.4678e-02 eta: 1 day, 19:46:34 time: 0.5151 data_time: 0.0425 memory: 18108 grad_norm: 3.0607 loss: 4.3761 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5431 top1_acc_1: 0.5412 top5_acc_1: 0.8588 loss_cls_1: 1.8330 2023/02/01 09:34:47 - mmengine - INFO - Epoch(train) [91][1600/1879] lr: 8.4673e-02 eta: 1 day, 19:46:24 time: 0.5048 data_time: 0.0302 memory: 18108 grad_norm: 3.1630 loss: 4.5106 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6009 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.9096 2023/02/01 09:34:58 - mmengine - INFO - Epoch(train) [91][1620/1879] lr: 8.4668e-02 eta: 1 day, 19:46:14 time: 0.5226 data_time: 0.0372 memory: 18108 grad_norm: 3.1124 loss: 4.4813 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6248 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.8565 2023/02/01 09:35:09 - mmengine - INFO - Epoch(train) [91][1640/1879] lr: 8.4662e-02 eta: 1 day, 19:46:05 time: 0.5320 data_time: 0.0448 memory: 18108 grad_norm: 3.0599 loss: 4.3368 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5138 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.8230 2023/02/01 09:35:19 - mmengine - INFO - Epoch(train) [91][1660/1879] lr: 8.4657e-02 eta: 1 day, 19:45:55 time: 0.5125 data_time: 0.0371 memory: 18108 grad_norm: 3.0614 loss: 4.4708 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6007 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 1.8701 2023/02/01 09:35:29 - mmengine - INFO - Epoch(train) [91][1680/1879] lr: 8.4651e-02 eta: 1 day, 19:45:45 time: 0.5211 data_time: 0.0284 memory: 18108 grad_norm: 3.0938 loss: 4.5056 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 2.5899 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.9157 2023/02/01 09:35:40 - mmengine - INFO - Epoch(train) [91][1700/1879] lr: 8.4646e-02 eta: 1 day, 19:45:37 time: 0.5496 data_time: 0.0442 memory: 18108 grad_norm: 3.0940 loss: 4.5890 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7207 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.8683 2023/02/01 09:35:51 - mmengine - INFO - Epoch(train) [91][1720/1879] lr: 8.4640e-02 eta: 1 day, 19:45:27 time: 0.5158 data_time: 0.0301 memory: 18108 grad_norm: 3.1168 loss: 4.3470 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5645 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.7825 2023/02/01 09:36:01 - mmengine - INFO - Epoch(train) [91][1740/1879] lr: 8.4635e-02 eta: 1 day, 19:45:17 time: 0.5226 data_time: 0.0364 memory: 18108 grad_norm: 3.0732 loss: 4.2736 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.4092 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.8644 2023/02/01 09:36:12 - mmengine - INFO - Epoch(train) [91][1760/1879] lr: 8.4630e-02 eta: 1 day, 19:45:08 time: 0.5490 data_time: 0.0288 memory: 18108 grad_norm: 3.0565 loss: 4.4343 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6541 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.7802 2023/02/01 09:36:23 - mmengine - INFO - Epoch(train) [91][1780/1879] lr: 8.4624e-02 eta: 1 day, 19:44:59 time: 0.5385 data_time: 0.0440 memory: 18108 grad_norm: 3.0555 loss: 4.5689 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6952 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8737 2023/02/01 09:36:33 - mmengine - INFO - Epoch(train) [91][1800/1879] lr: 8.4619e-02 eta: 1 day, 19:44:50 time: 0.5253 data_time: 0.0319 memory: 18108 grad_norm: 3.0723 loss: 4.3942 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6229 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7713 2023/02/01 09:36:44 - mmengine - INFO - Epoch(train) [91][1820/1879] lr: 8.4613e-02 eta: 1 day, 19:44:40 time: 0.5118 data_time: 0.0346 memory: 18108 grad_norm: 3.1226 loss: 4.4728 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6237 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8491 2023/02/01 09:36:54 - mmengine - INFO - Epoch(train) [91][1840/1879] lr: 8.4608e-02 eta: 1 day, 19:44:30 time: 0.5194 data_time: 0.0303 memory: 18108 grad_norm: 3.1140 loss: 4.3278 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5547 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.7731 2023/02/01 09:37:04 - mmengine - INFO - Epoch(train) [91][1860/1879] lr: 8.4602e-02 eta: 1 day, 19:44:20 time: 0.5215 data_time: 0.0367 memory: 18108 grad_norm: 3.0733 loss: 4.4963 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6326 top1_acc_1: 0.6235 top5_acc_1: 0.7294 loss_cls_1: 1.8637 2023/02/01 09:37:14 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 09:37:14 - mmengine - INFO - Epoch(train) [91][1879/1879] lr: 8.4597e-02 eta: 1 day, 19:44:11 time: 0.5019 data_time: 0.0267 memory: 18108 grad_norm: 3.1927 loss: 4.4717 top1_acc_0: 0.4286 top5_acc_0: 0.5714 loss_cls_0: 2.6780 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.7937 2023/02/01 09:37:25 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 09:37:29 - mmengine - INFO - Epoch(train) [92][ 20/1879] lr: 8.4592e-02 eta: 1 day, 19:44:07 time: 0.7021 data_time: 0.2577 memory: 18108 grad_norm: 3.0321 loss: 4.3575 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4887 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.8688 2023/02/01 09:37:38 - mmengine - INFO - Epoch(train) [92][ 40/1879] lr: 8.4586e-02 eta: 1 day, 19:43:56 time: 0.4710 data_time: 0.0335 memory: 18108 grad_norm: 2.9984 loss: 4.3098 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.5198 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7900 2023/02/01 09:37:48 - mmengine - INFO - Epoch(train) [92][ 60/1879] lr: 8.4581e-02 eta: 1 day, 19:43:45 time: 0.4927 data_time: 0.0370 memory: 18108 grad_norm: 3.0741 loss: 4.1576 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3363 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8214 2023/02/01 09:37:59 - mmengine - INFO - Epoch(train) [92][ 80/1879] lr: 8.4575e-02 eta: 1 day, 19:43:36 time: 0.5252 data_time: 0.0402 memory: 18108 grad_norm: 3.0731 loss: 4.2564 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.4157 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.8406 2023/02/01 09:38:09 - mmengine - INFO - Epoch(train) [92][ 100/1879] lr: 8.4570e-02 eta: 1 day, 19:43:25 time: 0.5030 data_time: 0.0399 memory: 18108 grad_norm: 3.1263 loss: 4.0569 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3601 top1_acc_1: 0.5647 top5_acc_1: 0.8706 loss_cls_1: 1.6968 2023/02/01 09:38:18 - mmengine - INFO - Epoch(train) [92][ 120/1879] lr: 8.4565e-02 eta: 1 day, 19:43:15 time: 0.4884 data_time: 0.0315 memory: 18108 grad_norm: 3.1374 loss: 4.5243 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.6925 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8319 2023/02/01 09:38:29 - mmengine - INFO - Epoch(train) [92][ 140/1879] lr: 8.4559e-02 eta: 1 day, 19:43:05 time: 0.5206 data_time: 0.0356 memory: 18108 grad_norm: 3.0953 loss: 4.1828 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4178 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.7650 2023/02/01 09:38:39 - mmengine - INFO - Epoch(train) [92][ 160/1879] lr: 8.4554e-02 eta: 1 day, 19:42:54 time: 0.5012 data_time: 0.0391 memory: 18108 grad_norm: 3.0922 loss: 4.1785 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3875 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.7910 2023/02/01 09:38:49 - mmengine - INFO - Epoch(train) [92][ 180/1879] lr: 8.4548e-02 eta: 1 day, 19:42:44 time: 0.4941 data_time: 0.0362 memory: 18108 grad_norm: 3.1074 loss: 4.0439 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.2222 top1_acc_1: 0.4941 top5_acc_1: 0.8118 loss_cls_1: 1.8217 2023/02/01 09:38:59 - mmengine - INFO - Epoch(train) [92][ 200/1879] lr: 8.4543e-02 eta: 1 day, 19:42:33 time: 0.4953 data_time: 0.0317 memory: 18108 grad_norm: 3.2385 loss: 4.3502 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5027 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.8474 2023/02/01 09:39:09 - mmengine - INFO - Epoch(train) [92][ 220/1879] lr: 8.4537e-02 eta: 1 day, 19:42:23 time: 0.4992 data_time: 0.0446 memory: 18108 grad_norm: 3.1142 loss: 4.3552 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5442 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8110 2023/02/01 09:39:18 - mmengine - INFO - Epoch(train) [92][ 240/1879] lr: 8.4532e-02 eta: 1 day, 19:42:11 time: 0.4718 data_time: 0.0328 memory: 18108 grad_norm: 3.1297 loss: 4.5378 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.7719 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7659 2023/02/01 09:39:28 - mmengine - INFO - Epoch(train) [92][ 260/1879] lr: 8.4526e-02 eta: 1 day, 19:42:00 time: 0.4695 data_time: 0.0383 memory: 18108 grad_norm: 3.0805 loss: 4.5743 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7070 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8673 2023/02/01 09:39:37 - mmengine - INFO - Epoch(train) [92][ 280/1879] lr: 8.4521e-02 eta: 1 day, 19:41:48 time: 0.4695 data_time: 0.0337 memory: 18108 grad_norm: 3.1088 loss: 4.4204 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6379 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.7825 2023/02/01 09:39:47 - mmengine - INFO - Epoch(train) [92][ 300/1879] lr: 8.4516e-02 eta: 1 day, 19:41:37 time: 0.4807 data_time: 0.0433 memory: 18108 grad_norm: 3.1083 loss: 4.3301 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4807 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.8494 2023/02/01 09:39:56 - mmengine - INFO - Epoch(train) [92][ 320/1879] lr: 8.4510e-02 eta: 1 day, 19:41:25 time: 0.4630 data_time: 0.0339 memory: 18108 grad_norm: 3.1122 loss: 4.5665 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7482 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.8183 2023/02/01 09:40:05 - mmengine - INFO - Epoch(train) [92][ 340/1879] lr: 8.4505e-02 eta: 1 day, 19:41:14 time: 0.4767 data_time: 0.0382 memory: 18108 grad_norm: 3.1861 loss: 4.6351 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7363 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.8987 2023/02/01 09:40:15 - mmengine - INFO - Epoch(train) [92][ 360/1879] lr: 8.4499e-02 eta: 1 day, 19:41:02 time: 0.4674 data_time: 0.0332 memory: 18108 grad_norm: 3.1023 loss: 4.5002 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6500 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8503 2023/02/01 09:40:24 - mmengine - INFO - Epoch(train) [92][ 380/1879] lr: 8.4494e-02 eta: 1 day, 19:40:51 time: 0.4828 data_time: 0.0448 memory: 18108 grad_norm: 3.0984 loss: 4.5550 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7383 top1_acc_1: 0.6000 top5_acc_1: 0.7294 loss_cls_1: 1.8167 2023/02/01 09:40:34 - mmengine - INFO - Epoch(train) [92][ 400/1879] lr: 8.4488e-02 eta: 1 day, 19:40:40 time: 0.4714 data_time: 0.0334 memory: 18108 grad_norm: 3.1198 loss: 4.3892 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5808 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8084 2023/02/01 09:40:43 - mmengine - INFO - Epoch(train) [92][ 420/1879] lr: 8.4483e-02 eta: 1 day, 19:40:28 time: 0.4738 data_time: 0.0387 memory: 18108 grad_norm: 3.1380 loss: 4.4660 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.5711 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8949 2023/02/01 09:40:53 - mmengine - INFO - Epoch(train) [92][ 440/1879] lr: 8.4477e-02 eta: 1 day, 19:40:17 time: 0.4686 data_time: 0.0331 memory: 18108 grad_norm: 3.1166 loss: 4.4784 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5916 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.8868 2023/02/01 09:41:02 - mmengine - INFO - Epoch(train) [92][ 460/1879] lr: 8.4472e-02 eta: 1 day, 19:40:06 time: 0.4754 data_time: 0.0434 memory: 18108 grad_norm: 3.1170 loss: 4.4260 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5771 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.8490 2023/02/01 09:41:12 - mmengine - INFO - Epoch(train) [92][ 480/1879] lr: 8.4466e-02 eta: 1 day, 19:39:54 time: 0.4636 data_time: 0.0336 memory: 18108 grad_norm: 3.0867 loss: 4.5193 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6088 top1_acc_1: 0.6118 top5_acc_1: 0.7529 loss_cls_1: 1.9105 2023/02/01 09:41:21 - mmengine - INFO - Epoch(train) [92][ 500/1879] lr: 8.4461e-02 eta: 1 day, 19:39:43 time: 0.4778 data_time: 0.0358 memory: 18108 grad_norm: 3.0553 loss: 4.3752 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4622 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.9130 2023/02/01 09:41:31 - mmengine - INFO - Epoch(train) [92][ 520/1879] lr: 8.4456e-02 eta: 1 day, 19:39:31 time: 0.4802 data_time: 0.0352 memory: 18108 grad_norm: 3.1353 loss: 4.2268 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4199 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.8069 2023/02/01 09:41:40 - mmengine - INFO - Epoch(train) [92][ 540/1879] lr: 8.4450e-02 eta: 1 day, 19:39:20 time: 0.4704 data_time: 0.0370 memory: 18108 grad_norm: 3.0570 loss: 4.4091 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5672 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.8419 2023/02/01 09:41:49 - mmengine - INFO - Epoch(train) [92][ 560/1879] lr: 8.4445e-02 eta: 1 day, 19:39:08 time: 0.4650 data_time: 0.0334 memory: 18108 grad_norm: 3.1488 loss: 4.3358 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4258 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.9100 2023/02/01 09:41:59 - mmengine - INFO - Epoch(train) [92][ 580/1879] lr: 8.4439e-02 eta: 1 day, 19:38:57 time: 0.4776 data_time: 0.0373 memory: 18108 grad_norm: 3.0699 loss: 4.5961 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7322 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.8639 2023/02/01 09:42:09 - mmengine - INFO - Epoch(train) [92][ 600/1879] lr: 8.4434e-02 eta: 1 day, 19:38:46 time: 0.4843 data_time: 0.0401 memory: 18108 grad_norm: 3.0827 loss: 4.2541 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.3697 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8844 2023/02/01 09:42:18 - mmengine - INFO - Epoch(train) [92][ 620/1879] lr: 8.4428e-02 eta: 1 day, 19:38:35 time: 0.4795 data_time: 0.0388 memory: 18108 grad_norm: 3.1798 loss: 4.4379 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.5367 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.9012 2023/02/01 09:42:28 - mmengine - INFO - Epoch(train) [92][ 640/1879] lr: 8.4423e-02 eta: 1 day, 19:38:23 time: 0.4778 data_time: 0.0338 memory: 18108 grad_norm: 3.1274 loss: 4.4726 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6153 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.8572 2023/02/01 09:42:37 - mmengine - INFO - Epoch(train) [92][ 660/1879] lr: 8.4417e-02 eta: 1 day, 19:38:12 time: 0.4730 data_time: 0.0380 memory: 18108 grad_norm: 3.1169 loss: 4.4999 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6079 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.8920 2023/02/01 09:42:47 - mmengine - INFO - Epoch(train) [92][ 680/1879] lr: 8.4412e-02 eta: 1 day, 19:38:01 time: 0.4950 data_time: 0.0404 memory: 18108 grad_norm: 3.1570 loss: 4.4424 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6516 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7908 2023/02/01 09:42:57 - mmengine - INFO - Epoch(train) [92][ 700/1879] lr: 8.4406e-02 eta: 1 day, 19:37:51 time: 0.4886 data_time: 0.0378 memory: 18108 grad_norm: 3.0979 loss: 4.6230 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.8549 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7681 2023/02/01 09:43:07 - mmengine - INFO - Epoch(train) [92][ 720/1879] lr: 8.4401e-02 eta: 1 day, 19:37:39 time: 0.4740 data_time: 0.0331 memory: 18108 grad_norm: 3.0830 loss: 4.5377 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6105 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.9273 2023/02/01 09:43:17 - mmengine - INFO - Epoch(train) [92][ 740/1879] lr: 8.4396e-02 eta: 1 day, 19:37:29 time: 0.5035 data_time: 0.0377 memory: 18108 grad_norm: 3.1230 loss: 4.2522 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4306 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.8216 2023/02/01 09:43:26 - mmengine - INFO - Epoch(train) [92][ 760/1879] lr: 8.4390e-02 eta: 1 day, 19:37:18 time: 0.4874 data_time: 0.0316 memory: 18108 grad_norm: 3.1620 loss: 4.3824 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.4408 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.9416 2023/02/01 09:43:36 - mmengine - INFO - Epoch(train) [92][ 780/1879] lr: 8.4385e-02 eta: 1 day, 19:37:07 time: 0.4908 data_time: 0.0373 memory: 18108 grad_norm: 3.0894 loss: 4.3603 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5515 top1_acc_1: 0.5529 top5_acc_1: 0.8706 loss_cls_1: 1.8088 2023/02/01 09:43:46 - mmengine - INFO - Epoch(train) [92][ 800/1879] lr: 8.4379e-02 eta: 1 day, 19:36:56 time: 0.4785 data_time: 0.0325 memory: 18108 grad_norm: 3.1940 loss: 4.4256 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6465 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.7791 2023/02/01 09:43:56 - mmengine - INFO - Epoch(train) [92][ 820/1879] lr: 8.4374e-02 eta: 1 day, 19:36:46 time: 0.5057 data_time: 0.0376 memory: 18108 grad_norm: 3.1255 loss: 4.6274 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.8424 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.7850 2023/02/01 09:44:06 - mmengine - INFO - Epoch(train) [92][ 840/1879] lr: 8.4368e-02 eta: 1 day, 19:36:35 time: 0.4820 data_time: 0.0340 memory: 18108 grad_norm: 3.0837 loss: 4.3959 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5335 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.8624 2023/02/01 09:44:15 - mmengine - INFO - Epoch(train) [92][ 860/1879] lr: 8.4363e-02 eta: 1 day, 19:36:24 time: 0.4908 data_time: 0.0373 memory: 18108 grad_norm: 3.1938 loss: 4.5134 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.5642 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.9492 2023/02/01 09:44:25 - mmengine - INFO - Epoch(train) [92][ 880/1879] lr: 8.4357e-02 eta: 1 day, 19:36:13 time: 0.4915 data_time: 0.0336 memory: 18108 grad_norm: 3.1672 loss: 4.4648 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5449 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.9200 2023/02/01 09:44:35 - mmengine - INFO - Epoch(train) [92][ 900/1879] lr: 8.4352e-02 eta: 1 day, 19:36:03 time: 0.4938 data_time: 0.0377 memory: 18108 grad_norm: 3.0849 loss: 4.4963 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6656 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.8307 2023/02/01 09:44:45 - mmengine - INFO - Epoch(train) [92][ 920/1879] lr: 8.4346e-02 eta: 1 day, 19:35:51 time: 0.4777 data_time: 0.0323 memory: 18108 grad_norm: 3.1317 loss: 4.1232 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3120 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 1.8111 2023/02/01 09:44:55 - mmengine - INFO - Epoch(train) [92][ 940/1879] lr: 8.4341e-02 eta: 1 day, 19:35:41 time: 0.5065 data_time: 0.0354 memory: 18108 grad_norm: 3.0784 loss: 4.4430 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5667 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.8763 2023/02/01 09:45:04 - mmengine - INFO - Epoch(train) [92][ 960/1879] lr: 8.4335e-02 eta: 1 day, 19:35:30 time: 0.4713 data_time: 0.0320 memory: 18108 grad_norm: 3.1262 loss: 4.3012 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.4806 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8206 2023/02/01 09:45:14 - mmengine - INFO - Epoch(train) [92][ 980/1879] lr: 8.4330e-02 eta: 1 day, 19:35:19 time: 0.4934 data_time: 0.0425 memory: 18108 grad_norm: 3.1246 loss: 4.5909 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6195 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.9714 2023/02/01 09:45:24 - mmengine - INFO - Epoch(train) [92][1000/1879] lr: 8.4324e-02 eta: 1 day, 19:35:08 time: 0.4890 data_time: 0.0346 memory: 18108 grad_norm: 3.0950 loss: 4.6656 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8155 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.8501 2023/02/01 09:45:30 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 09:45:34 - mmengine - INFO - Epoch(train) [92][1020/1879] lr: 8.4319e-02 eta: 1 day, 19:34:58 time: 0.4986 data_time: 0.0373 memory: 18108 grad_norm: 3.0648 loss: 4.4385 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.7035 top1_acc_1: 0.5765 top5_acc_1: 0.8941 loss_cls_1: 1.7350 2023/02/01 09:45:43 - mmengine - INFO - Epoch(train) [92][1040/1879] lr: 8.4313e-02 eta: 1 day, 19:34:46 time: 0.4738 data_time: 0.0408 memory: 18108 grad_norm: 3.2154 loss: 4.2512 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4119 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8394 2023/02/01 09:45:53 - mmengine - INFO - Epoch(train) [92][1060/1879] lr: 8.4308e-02 eta: 1 day, 19:34:36 time: 0.4998 data_time: 0.0392 memory: 18108 grad_norm: 3.0569 loss: 4.2702 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.4582 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.8121 2023/02/01 09:46:03 - mmengine - INFO - Epoch(train) [92][1080/1879] lr: 8.4302e-02 eta: 1 day, 19:34:25 time: 0.4824 data_time: 0.0340 memory: 18108 grad_norm: 3.1725 loss: 4.6405 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.8212 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.8193 2023/02/01 09:46:13 - mmengine - INFO - Epoch(train) [92][1100/1879] lr: 8.4297e-02 eta: 1 day, 19:34:14 time: 0.4887 data_time: 0.0382 memory: 18108 grad_norm: 3.1088 loss: 4.5747 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7516 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.8231 2023/02/01 09:46:23 - mmengine - INFO - Epoch(train) [92][1120/1879] lr: 8.4292e-02 eta: 1 day, 19:34:03 time: 0.4855 data_time: 0.0327 memory: 18108 grad_norm: 3.0712 loss: 4.7899 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.8949 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.8951 2023/02/01 09:46:33 - mmengine - INFO - Epoch(train) [92][1140/1879] lr: 8.4286e-02 eta: 1 day, 19:33:52 time: 0.4961 data_time: 0.0396 memory: 18108 grad_norm: 3.1469 loss: 4.3290 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.4856 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8434 2023/02/01 09:46:42 - mmengine - INFO - Epoch(train) [92][1160/1879] lr: 8.4281e-02 eta: 1 day, 19:33:41 time: 0.4720 data_time: 0.0342 memory: 18108 grad_norm: 3.0525 loss: 4.4561 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.5801 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.8760 2023/02/01 09:46:52 - mmengine - INFO - Epoch(train) [92][1180/1879] lr: 8.4275e-02 eta: 1 day, 19:33:30 time: 0.4858 data_time: 0.0357 memory: 18108 grad_norm: 3.1666 loss: 4.4542 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5944 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.8598 2023/02/01 09:47:02 - mmengine - INFO - Epoch(train) [92][1200/1879] lr: 8.4270e-02 eta: 1 day, 19:33:20 time: 0.5020 data_time: 0.0333 memory: 18108 grad_norm: 3.1396 loss: 4.4924 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6310 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.8614 2023/02/01 09:47:11 - mmengine - INFO - Epoch(train) [92][1220/1879] lr: 8.4264e-02 eta: 1 day, 19:33:09 time: 0.4848 data_time: 0.0385 memory: 18108 grad_norm: 3.0778 loss: 4.3744 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.5735 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.8009 2023/02/01 09:47:21 - mmengine - INFO - Epoch(train) [92][1240/1879] lr: 8.4259e-02 eta: 1 day, 19:32:57 time: 0.4744 data_time: 0.0354 memory: 18108 grad_norm: 3.0487 loss: 4.5612 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7358 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8255 2023/02/01 09:47:31 - mmengine - INFO - Epoch(train) [92][1260/1879] lr: 8.4253e-02 eta: 1 day, 19:32:47 time: 0.5073 data_time: 0.0452 memory: 18108 grad_norm: 3.1529 loss: 4.6395 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7504 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8892 2023/02/01 09:47:41 - mmengine - INFO - Epoch(train) [92][1280/1879] lr: 8.4248e-02 eta: 1 day, 19:32:37 time: 0.4973 data_time: 0.0319 memory: 18108 grad_norm: 3.1038 loss: 4.4275 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6118 top1_acc_1: 0.6000 top5_acc_1: 0.9059 loss_cls_1: 1.8157 2023/02/01 09:47:51 - mmengine - INFO - Epoch(train) [92][1300/1879] lr: 8.4242e-02 eta: 1 day, 19:32:26 time: 0.4853 data_time: 0.0358 memory: 18108 grad_norm: 3.1572 loss: 4.2065 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.3747 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8318 2023/02/01 09:48:00 - mmengine - INFO - Epoch(train) [92][1320/1879] lr: 8.4237e-02 eta: 1 day, 19:32:15 time: 0.4798 data_time: 0.0337 memory: 18108 grad_norm: 3.0810 loss: 4.3042 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4377 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.8665 2023/02/01 09:48:11 - mmengine - INFO - Epoch(train) [92][1340/1879] lr: 8.4231e-02 eta: 1 day, 19:32:05 time: 0.5146 data_time: 0.0452 memory: 18108 grad_norm: 3.1307 loss: 4.3037 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4759 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8278 2023/02/01 09:48:20 - mmengine - INFO - Epoch(train) [92][1360/1879] lr: 8.4226e-02 eta: 1 day, 19:31:54 time: 0.4855 data_time: 0.0334 memory: 18108 grad_norm: 3.1364 loss: 4.4550 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.6053 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8497 2023/02/01 09:48:30 - mmengine - INFO - Epoch(train) [92][1380/1879] lr: 8.4220e-02 eta: 1 day, 19:31:43 time: 0.4920 data_time: 0.0364 memory: 18108 grad_norm: 3.0667 loss: 4.2238 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4890 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.7348 2023/02/01 09:48:40 - mmengine - INFO - Epoch(train) [92][1400/1879] lr: 8.4215e-02 eta: 1 day, 19:31:32 time: 0.4837 data_time: 0.0332 memory: 18108 grad_norm: 3.1779 loss: 4.4442 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5126 top1_acc_1: 0.5765 top5_acc_1: 0.8824 loss_cls_1: 1.9316 2023/02/01 09:48:50 - mmengine - INFO - Epoch(train) [92][1420/1879] lr: 8.4209e-02 eta: 1 day, 19:31:22 time: 0.5065 data_time: 0.0432 memory: 18108 grad_norm: 3.1080 loss: 4.4260 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5175 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.9085 2023/02/01 09:49:00 - mmengine - INFO - Epoch(train) [92][1440/1879] lr: 8.4204e-02 eta: 1 day, 19:31:11 time: 0.4961 data_time: 0.0336 memory: 18108 grad_norm: 3.0507 loss: 4.3724 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.4478 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.9246 2023/02/01 09:49:10 - mmengine - INFO - Epoch(train) [92][1460/1879] lr: 8.4198e-02 eta: 1 day, 19:31:01 time: 0.5073 data_time: 0.0361 memory: 18108 grad_norm: 3.0645 loss: 4.1846 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3112 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8734 2023/02/01 09:49:20 - mmengine - INFO - Epoch(train) [92][1480/1879] lr: 8.4193e-02 eta: 1 day, 19:30:50 time: 0.4857 data_time: 0.0343 memory: 18108 grad_norm: 3.0693 loss: 4.3601 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6084 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.7517 2023/02/01 09:49:30 - mmengine - INFO - Epoch(train) [92][1500/1879] lr: 8.4187e-02 eta: 1 day, 19:30:40 time: 0.4991 data_time: 0.0457 memory: 18108 grad_norm: 3.0979 loss: 4.3414 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5688 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.7726 2023/02/01 09:49:40 - mmengine - INFO - Epoch(train) [92][1520/1879] lr: 8.4182e-02 eta: 1 day, 19:30:29 time: 0.4936 data_time: 0.0336 memory: 18108 grad_norm: 3.1076 loss: 4.2675 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.4643 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.8032 2023/02/01 09:49:50 - mmengine - INFO - Epoch(train) [92][1540/1879] lr: 8.4176e-02 eta: 1 day, 19:30:18 time: 0.4883 data_time: 0.0392 memory: 18108 grad_norm: 3.0817 loss: 4.4022 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.6319 top1_acc_1: 0.5176 top5_acc_1: 0.8588 loss_cls_1: 1.7703 2023/02/01 09:49:59 - mmengine - INFO - Epoch(train) [92][1560/1879] lr: 8.4171e-02 eta: 1 day, 19:30:07 time: 0.4782 data_time: 0.0333 memory: 18108 grad_norm: 3.1180 loss: 4.5748 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7095 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8654 2023/02/01 09:50:09 - mmengine - INFO - Epoch(train) [92][1580/1879] lr: 8.4165e-02 eta: 1 day, 19:29:56 time: 0.4954 data_time: 0.0440 memory: 18108 grad_norm: 3.1044 loss: 4.3712 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5008 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.8704 2023/02/01 09:50:19 - mmengine - INFO - Epoch(train) [92][1600/1879] lr: 8.4160e-02 eta: 1 day, 19:29:46 time: 0.4976 data_time: 0.0353 memory: 18108 grad_norm: 3.1458 loss: 4.4408 top1_acc_0: 0.1875 top5_acc_0: 0.8125 loss_cls_0: 2.6002 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8407 2023/02/01 09:50:29 - mmengine - INFO - Epoch(train) [92][1620/1879] lr: 8.4154e-02 eta: 1 day, 19:29:35 time: 0.4851 data_time: 0.0361 memory: 18108 grad_norm: 3.1291 loss: 4.5201 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.6497 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.8704 2023/02/01 09:50:39 - mmengine - INFO - Epoch(train) [92][1640/1879] lr: 8.4149e-02 eta: 1 day, 19:29:24 time: 0.4891 data_time: 0.0411 memory: 18108 grad_norm: 3.0462 loss: 4.5395 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6414 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.8981 2023/02/01 09:50:48 - mmengine - INFO - Epoch(train) [92][1660/1879] lr: 8.4143e-02 eta: 1 day, 19:29:13 time: 0.4901 data_time: 0.0367 memory: 18108 grad_norm: 3.0922 loss: 4.2259 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3466 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.8793 2023/02/01 09:50:58 - mmengine - INFO - Epoch(train) [92][1680/1879] lr: 8.4138e-02 eta: 1 day, 19:29:03 time: 0.4919 data_time: 0.0347 memory: 18108 grad_norm: 3.0724 loss: 4.4820 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6632 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8188 2023/02/01 09:51:08 - mmengine - INFO - Epoch(train) [92][1700/1879] lr: 8.4132e-02 eta: 1 day, 19:28:52 time: 0.4827 data_time: 0.0369 memory: 18108 grad_norm: 3.0997 loss: 4.4245 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5626 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.8619 2023/02/01 09:51:18 - mmengine - INFO - Epoch(train) [92][1720/1879] lr: 8.4127e-02 eta: 1 day, 19:28:40 time: 0.4821 data_time: 0.0341 memory: 18108 grad_norm: 3.1249 loss: 4.4001 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5026 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8975 2023/02/01 09:51:28 - mmengine - INFO - Epoch(train) [92][1740/1879] lr: 8.4121e-02 eta: 1 day, 19:28:30 time: 0.5087 data_time: 0.0361 memory: 18108 grad_norm: 3.1258 loss: 4.2689 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.3712 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.8977 2023/02/01 09:51:37 - mmengine - INFO - Epoch(train) [92][1760/1879] lr: 8.4116e-02 eta: 1 day, 19:28:19 time: 0.4858 data_time: 0.0321 memory: 18108 grad_norm: 3.1172 loss: 4.3846 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5435 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8410 2023/02/01 09:51:47 - mmengine - INFO - Epoch(train) [92][1780/1879] lr: 8.4110e-02 eta: 1 day, 19:28:09 time: 0.4866 data_time: 0.0440 memory: 18108 grad_norm: 3.1146 loss: 4.3321 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.4237 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.9084 2023/02/01 09:51:57 - mmengine - INFO - Epoch(train) [92][1800/1879] lr: 8.4105e-02 eta: 1 day, 19:27:58 time: 0.5037 data_time: 0.0319 memory: 18108 grad_norm: 3.1286 loss: 4.3771 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5891 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7880 2023/02/01 09:52:08 - mmengine - INFO - Epoch(train) [92][1820/1879] lr: 8.4099e-02 eta: 1 day, 19:27:48 time: 0.5135 data_time: 0.0353 memory: 18108 grad_norm: 3.0849 loss: 4.4391 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5063 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.9327 2023/02/01 09:52:17 - mmengine - INFO - Epoch(train) [92][1840/1879] lr: 8.4094e-02 eta: 1 day, 19:27:38 time: 0.4928 data_time: 0.0299 memory: 18108 grad_norm: 3.0673 loss: 4.4548 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5514 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.9034 2023/02/01 09:52:28 - mmengine - INFO - Epoch(train) [92][1860/1879] lr: 8.4088e-02 eta: 1 day, 19:27:27 time: 0.5089 data_time: 0.0443 memory: 18108 grad_norm: 3.1193 loss: 4.4977 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5723 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.9254 2023/02/01 09:52:37 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 09:52:37 - mmengine - INFO - Epoch(train) [92][1879/1879] lr: 8.4083e-02 eta: 1 day, 19:27:17 time: 0.4736 data_time: 0.0267 memory: 18108 grad_norm: 3.1574 loss: 4.2874 top1_acc_0: 0.7143 top5_acc_0: 0.7143 loss_cls_0: 2.4030 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.8844 2023/02/01 09:52:37 - mmengine - INFO - Saving checkpoint at 92 epochs 2023/02/01 09:52:48 - mmengine - INFO - Epoch(val) [92][ 20/155] eta: 0:01:01 time: 0.4557 data_time: 0.3420 memory: 1906 2023/02/01 09:52:57 - mmengine - INFO - Epoch(val) [92][ 40/155] eta: 0:00:51 time: 0.4447 data_time: 0.3334 memory: 1906 2023/02/01 09:53:05 - mmengine - INFO - Epoch(val) [92][ 60/155] eta: 0:00:41 time: 0.4218 data_time: 0.3106 memory: 1906 2023/02/01 09:53:14 - mmengine - INFO - Epoch(val) [92][ 80/155] eta: 0:00:33 time: 0.4620 data_time: 0.3515 memory: 1906 2023/02/01 09:53:23 - mmengine - INFO - Epoch(val) [92][100/155] eta: 0:00:24 time: 0.4462 data_time: 0.3357 memory: 1906 2023/02/01 09:53:32 - mmengine - INFO - Epoch(val) [92][120/155] eta: 0:00:15 time: 0.4561 data_time: 0.3459 memory: 1906 2023/02/01 09:53:41 - mmengine - INFO - Epoch(val) [92][140/155] eta: 0:00:06 time: 0.4347 data_time: 0.3234 memory: 1906 2023/02/01 09:53:49 - mmengine - INFO - Epoch(val) [92][155/155] acc/top1: 0.4356 acc/top5: 0.6916 acc/mean1: 0.4354 2023/02/01 09:54:05 - mmengine - INFO - Epoch(train) [93][ 20/1879] lr: 8.4077e-02 eta: 1 day, 19:27:18 time: 0.8269 data_time: 0.3635 memory: 18108 grad_norm: 3.1577 loss: 4.3975 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5850 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8124 2023/02/01 09:54:15 - mmengine - INFO - Epoch(train) [93][ 40/1879] lr: 8.4072e-02 eta: 1 day, 19:27:07 time: 0.4803 data_time: 0.0327 memory: 18108 grad_norm: 3.0542 loss: 4.1431 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.3484 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.7947 2023/02/01 09:54:25 - mmengine - INFO - Epoch(train) [93][ 60/1879] lr: 8.4066e-02 eta: 1 day, 19:26:56 time: 0.4817 data_time: 0.0376 memory: 18108 grad_norm: 3.0815 loss: 4.2756 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.4657 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8100 2023/02/01 09:54:35 - mmengine - INFO - Epoch(train) [93][ 80/1879] lr: 8.4061e-02 eta: 1 day, 19:26:46 time: 0.5276 data_time: 0.0316 memory: 18108 grad_norm: 3.0810 loss: 4.2389 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3698 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8691 2023/02/01 09:54:45 - mmengine - INFO - Epoch(train) [93][ 100/1879] lr: 8.4055e-02 eta: 1 day, 19:26:35 time: 0.4807 data_time: 0.0374 memory: 18108 grad_norm: 3.0532 loss: 4.1995 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4089 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.7905 2023/02/01 09:54:54 - mmengine - INFO - Epoch(train) [93][ 120/1879] lr: 8.4050e-02 eta: 1 day, 19:26:24 time: 0.4745 data_time: 0.0324 memory: 18108 grad_norm: 3.1001 loss: 4.3852 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6404 top1_acc_1: 0.6118 top5_acc_1: 0.8941 loss_cls_1: 1.7449 2023/02/01 09:55:00 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 09:55:05 - mmengine - INFO - Epoch(train) [93][ 140/1879] lr: 8.4044e-02 eta: 1 day, 19:26:14 time: 0.5138 data_time: 0.0477 memory: 18108 grad_norm: 3.1025 loss: 4.3125 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5570 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.7555 2023/02/01 09:55:14 - mmengine - INFO - Epoch(train) [93][ 160/1879] lr: 8.4039e-02 eta: 1 day, 19:26:03 time: 0.4864 data_time: 0.0335 memory: 18108 grad_norm: 3.1306 loss: 4.3327 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.5557 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.7770 2023/02/01 09:55:24 - mmengine - INFO - Epoch(train) [93][ 180/1879] lr: 8.4033e-02 eta: 1 day, 19:25:52 time: 0.4810 data_time: 0.0362 memory: 18108 grad_norm: 3.1272 loss: 4.4778 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5887 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.8891 2023/02/01 09:55:33 - mmengine - INFO - Epoch(train) [93][ 200/1879] lr: 8.4028e-02 eta: 1 day, 19:25:40 time: 0.4729 data_time: 0.0329 memory: 18108 grad_norm: 3.1022 loss: 4.1692 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.3545 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.8147 2023/02/01 09:55:44 - mmengine - INFO - Epoch(train) [93][ 220/1879] lr: 8.4022e-02 eta: 1 day, 19:25:31 time: 0.5131 data_time: 0.0352 memory: 18108 grad_norm: 3.0302 loss: 4.1658 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4465 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.7193 2023/02/01 09:55:53 - mmengine - INFO - Epoch(train) [93][ 240/1879] lr: 8.4017e-02 eta: 1 day, 19:25:19 time: 0.4830 data_time: 0.0344 memory: 18108 grad_norm: 3.1652 loss: 4.5658 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 2.7711 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.7947 2023/02/01 09:56:03 - mmengine - INFO - Epoch(train) [93][ 260/1879] lr: 8.4011e-02 eta: 1 day, 19:25:08 time: 0.4781 data_time: 0.0357 memory: 18108 grad_norm: 3.1615 loss: 4.1639 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.4173 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.7466 2023/02/01 09:56:13 - mmengine - INFO - Epoch(train) [93][ 280/1879] lr: 8.4006e-02 eta: 1 day, 19:24:57 time: 0.4772 data_time: 0.0331 memory: 18108 grad_norm: 3.0995 loss: 4.1769 top1_acc_0: 0.2500 top5_acc_0: 0.9375 loss_cls_0: 2.2538 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.9232 2023/02/01 09:56:23 - mmengine - INFO - Epoch(train) [93][ 300/1879] lr: 8.4000e-02 eta: 1 day, 19:24:47 time: 0.5132 data_time: 0.0411 memory: 18108 grad_norm: 3.0203 loss: 4.5408 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7136 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.8271 2023/02/01 09:56:32 - mmengine - INFO - Epoch(train) [93][ 320/1879] lr: 8.3995e-02 eta: 1 day, 19:24:36 time: 0.4829 data_time: 0.0320 memory: 18108 grad_norm: 3.1531 loss: 4.5837 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7422 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.8415 2023/02/01 09:56:43 - mmengine - INFO - Epoch(train) [93][ 340/1879] lr: 8.3989e-02 eta: 1 day, 19:24:26 time: 0.5043 data_time: 0.0363 memory: 18108 grad_norm: 3.1271 loss: 4.2549 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4348 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.8201 2023/02/01 09:56:53 - mmengine - INFO - Epoch(train) [93][ 360/1879] lr: 8.3984e-02 eta: 1 day, 19:24:16 time: 0.5081 data_time: 0.0367 memory: 18108 grad_norm: 3.0311 loss: 4.5350 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7265 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.8085 2023/02/01 09:57:03 - mmengine - INFO - Epoch(train) [93][ 380/1879] lr: 8.3978e-02 eta: 1 day, 19:24:06 time: 0.5115 data_time: 0.0365 memory: 18108 grad_norm: 3.0288 loss: 4.4003 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6412 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.7591 2023/02/01 09:57:13 - mmengine - INFO - Epoch(train) [93][ 400/1879] lr: 8.3973e-02 eta: 1 day, 19:23:55 time: 0.4823 data_time: 0.0303 memory: 18108 grad_norm: 3.0797 loss: 4.1543 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3721 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.7822 2023/02/01 09:57:23 - mmengine - INFO - Epoch(train) [93][ 420/1879] lr: 8.3967e-02 eta: 1 day, 19:23:45 time: 0.5300 data_time: 0.0444 memory: 18108 grad_norm: 3.1885 loss: 4.2075 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.2903 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.9171 2023/02/01 09:57:33 - mmengine - INFO - Epoch(train) [93][ 440/1879] lr: 8.3962e-02 eta: 1 day, 19:23:35 time: 0.5061 data_time: 0.0287 memory: 18108 grad_norm: 3.1574 loss: 4.3720 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5827 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.7893 2023/02/01 09:57:44 - mmengine - INFO - Epoch(train) [93][ 460/1879] lr: 8.3956e-02 eta: 1 day, 19:23:25 time: 0.5175 data_time: 0.0360 memory: 18108 grad_norm: 3.0701 loss: 4.4364 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5602 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.8763 2023/02/01 09:57:54 - mmengine - INFO - Epoch(train) [93][ 480/1879] lr: 8.3950e-02 eta: 1 day, 19:23:15 time: 0.4959 data_time: 0.0279 memory: 18108 grad_norm: 3.1233 loss: 4.2549 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3849 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.8700 2023/02/01 09:58:04 - mmengine - INFO - Epoch(train) [93][ 500/1879] lr: 8.3945e-02 eta: 1 day, 19:23:05 time: 0.5334 data_time: 0.0379 memory: 18108 grad_norm: 3.1516 loss: 4.4095 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5849 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.8246 2023/02/01 09:58:14 - mmengine - INFO - Epoch(train) [93][ 520/1879] lr: 8.3939e-02 eta: 1 day, 19:22:55 time: 0.4970 data_time: 0.0294 memory: 18108 grad_norm: 3.0905 loss: 4.4833 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.5932 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 1.8901 2023/02/01 09:58:25 - mmengine - INFO - Epoch(train) [93][ 540/1879] lr: 8.3934e-02 eta: 1 day, 19:22:45 time: 0.5162 data_time: 0.0445 memory: 18108 grad_norm: 3.1645 loss: 4.2741 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.4581 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.8160 2023/02/01 09:58:35 - mmengine - INFO - Epoch(train) [93][ 560/1879] lr: 8.3928e-02 eta: 1 day, 19:22:35 time: 0.5174 data_time: 0.0313 memory: 18108 grad_norm: 3.1247 loss: 4.4691 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6665 top1_acc_1: 0.5765 top5_acc_1: 0.8824 loss_cls_1: 1.8027 2023/02/01 09:58:45 - mmengine - INFO - Epoch(train) [93][ 580/1879] lr: 8.3923e-02 eta: 1 day, 19:22:25 time: 0.5164 data_time: 0.0371 memory: 18108 grad_norm: 3.1301 loss: 4.5769 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6722 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9047 2023/02/01 09:58:55 - mmengine - INFO - Epoch(train) [93][ 600/1879] lr: 8.3917e-02 eta: 1 day, 19:22:15 time: 0.5055 data_time: 0.0279 memory: 18108 grad_norm: 3.1279 loss: 4.5178 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.7120 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 1.8058 2023/02/01 09:59:06 - mmengine - INFO - Epoch(train) [93][ 620/1879] lr: 8.3912e-02 eta: 1 day, 19:22:06 time: 0.5334 data_time: 0.0454 memory: 18108 grad_norm: 3.0645 loss: 4.3749 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6066 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.7683 2023/02/01 09:59:16 - mmengine - INFO - Epoch(train) [93][ 640/1879] lr: 8.3906e-02 eta: 1 day, 19:21:56 time: 0.5007 data_time: 0.0294 memory: 18108 grad_norm: 3.1026 loss: 4.4046 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5128 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 1.8918 2023/02/01 09:59:26 - mmengine - INFO - Epoch(train) [93][ 660/1879] lr: 8.3901e-02 eta: 1 day, 19:21:45 time: 0.5096 data_time: 0.0388 memory: 18108 grad_norm: 3.1381 loss: 4.2505 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5428 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.7076 2023/02/01 09:59:37 - mmengine - INFO - Epoch(train) [93][ 680/1879] lr: 8.3895e-02 eta: 1 day, 19:21:35 time: 0.5092 data_time: 0.0396 memory: 18108 grad_norm: 3.1076 loss: 4.4753 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6104 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 1.8648 2023/02/01 09:59:47 - mmengine - INFO - Epoch(train) [93][ 700/1879] lr: 8.3890e-02 eta: 1 day, 19:21:25 time: 0.5107 data_time: 0.0378 memory: 18108 grad_norm: 3.0706 loss: 4.3978 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6139 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.7839 2023/02/01 09:59:57 - mmengine - INFO - Epoch(train) [93][ 720/1879] lr: 8.3884e-02 eta: 1 day, 19:21:14 time: 0.4884 data_time: 0.0294 memory: 18108 grad_norm: 3.1498 loss: 4.3575 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.5575 top1_acc_1: 0.4941 top5_acc_1: 0.6941 loss_cls_1: 1.8000 2023/02/01 10:00:07 - mmengine - INFO - Epoch(train) [93][ 740/1879] lr: 8.3879e-02 eta: 1 day, 19:21:05 time: 0.5231 data_time: 0.0394 memory: 18108 grad_norm: 3.1055 loss: 4.2318 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.4419 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.7899 2023/02/01 10:00:17 - mmengine - INFO - Epoch(train) [93][ 760/1879] lr: 8.3873e-02 eta: 1 day, 19:20:55 time: 0.5077 data_time: 0.0286 memory: 18108 grad_norm: 3.0917 loss: 4.6616 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.8461 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8155 2023/02/01 10:00:27 - mmengine - INFO - Epoch(train) [93][ 780/1879] lr: 8.3867e-02 eta: 1 day, 19:20:45 time: 0.5087 data_time: 0.0376 memory: 18108 grad_norm: 3.0844 loss: 4.4775 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6904 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7871 2023/02/01 10:00:38 - mmengine - INFO - Epoch(train) [93][ 800/1879] lr: 8.3862e-02 eta: 1 day, 19:20:34 time: 0.5064 data_time: 0.0378 memory: 18108 grad_norm: 3.1458 loss: 4.6099 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7036 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.9063 2023/02/01 10:00:48 - mmengine - INFO - Epoch(train) [93][ 820/1879] lr: 8.3856e-02 eta: 1 day, 19:20:25 time: 0.5257 data_time: 0.0381 memory: 18108 grad_norm: 3.0807 loss: 4.4167 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5350 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8817 2023/02/01 10:00:58 - mmengine - INFO - Epoch(train) [93][ 840/1879] lr: 8.3851e-02 eta: 1 day, 19:20:14 time: 0.4924 data_time: 0.0308 memory: 18108 grad_norm: 3.0909 loss: 4.4130 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.5592 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.8538 2023/02/01 10:01:08 - mmengine - INFO - Epoch(train) [93][ 860/1879] lr: 8.3845e-02 eta: 1 day, 19:20:04 time: 0.5188 data_time: 0.0439 memory: 18108 grad_norm: 3.1000 loss: 4.2866 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4297 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.8569 2023/02/01 10:01:19 - mmengine - INFO - Epoch(train) [93][ 880/1879] lr: 8.3840e-02 eta: 1 day, 19:19:55 time: 0.5155 data_time: 0.0280 memory: 18108 grad_norm: 3.1281 loss: 4.4160 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.5906 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8254 2023/02/01 10:01:29 - mmengine - INFO - Epoch(train) [93][ 900/1879] lr: 8.3834e-02 eta: 1 day, 19:19:44 time: 0.5098 data_time: 0.0372 memory: 18108 grad_norm: 3.1307 loss: 4.3777 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.4774 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.9002 2023/02/01 10:01:39 - mmengine - INFO - Epoch(train) [93][ 920/1879] lr: 8.3829e-02 eta: 1 day, 19:19:34 time: 0.5104 data_time: 0.0304 memory: 18108 grad_norm: 3.0788 loss: 4.4741 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.5927 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.8814 2023/02/01 10:01:50 - mmengine - INFO - Epoch(train) [93][ 940/1879] lr: 8.3823e-02 eta: 1 day, 19:19:25 time: 0.5346 data_time: 0.0379 memory: 18108 grad_norm: 3.1013 loss: 4.3669 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5354 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8315 2023/02/01 10:02:00 - mmengine - INFO - Epoch(train) [93][ 960/1879] lr: 8.3818e-02 eta: 1 day, 19:19:15 time: 0.5026 data_time: 0.0293 memory: 18108 grad_norm: 3.1231 loss: 4.3957 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.5644 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.8313 2023/02/01 10:02:10 - mmengine - INFO - Epoch(train) [93][ 980/1879] lr: 8.3812e-02 eta: 1 day, 19:19:05 time: 0.5161 data_time: 0.0377 memory: 18108 grad_norm: 3.0863 loss: 4.6850 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.7723 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.9127 2023/02/01 10:02:21 - mmengine - INFO - Epoch(train) [93][1000/1879] lr: 8.3806e-02 eta: 1 day, 19:18:55 time: 0.5220 data_time: 0.0467 memory: 18108 grad_norm: 3.1130 loss: 4.8384 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 2.9791 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.8594 2023/02/01 10:02:31 - mmengine - INFO - Epoch(train) [93][1020/1879] lr: 8.3801e-02 eta: 1 day, 19:18:45 time: 0.5145 data_time: 0.0367 memory: 18108 grad_norm: 3.0840 loss: 4.6376 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7842 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 1.8533 2023/02/01 10:02:41 - mmengine - INFO - Epoch(train) [93][1040/1879] lr: 8.3795e-02 eta: 1 day, 19:18:35 time: 0.4976 data_time: 0.0303 memory: 18108 grad_norm: 3.0742 loss: 4.5024 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6716 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8307 2023/02/01 10:02:52 - mmengine - INFO - Epoch(train) [93][1060/1879] lr: 8.3790e-02 eta: 1 day, 19:18:26 time: 0.5313 data_time: 0.0474 memory: 18108 grad_norm: 3.1126 loss: 4.1911 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3822 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.8089 2023/02/01 10:03:02 - mmengine - INFO - Epoch(train) [93][1080/1879] lr: 8.3784e-02 eta: 1 day, 19:18:16 time: 0.5202 data_time: 0.0299 memory: 18108 grad_norm: 3.1281 loss: 4.4331 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6531 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 1.7800 2023/02/01 10:03:12 - mmengine - INFO - Epoch(train) [93][1100/1879] lr: 8.3779e-02 eta: 1 day, 19:18:06 time: 0.5161 data_time: 0.0369 memory: 18108 grad_norm: 3.0931 loss: 4.4628 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6252 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8375 2023/02/01 10:03:23 - mmengine - INFO - Epoch(train) [93][1120/1879] lr: 8.3773e-02 eta: 1 day, 19:17:56 time: 0.5159 data_time: 0.0309 memory: 18108 grad_norm: 3.1048 loss: 4.4467 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5859 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8609 2023/02/01 10:03:29 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 10:03:34 - mmengine - INFO - Epoch(train) [93][1140/1879] lr: 8.3768e-02 eta: 1 day, 19:17:47 time: 0.5439 data_time: 0.0468 memory: 18108 grad_norm: 3.1248 loss: 4.4897 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5537 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 1.9360 2023/02/01 10:03:44 - mmengine - INFO - Epoch(train) [93][1160/1879] lr: 8.3762e-02 eta: 1 day, 19:17:37 time: 0.5167 data_time: 0.0298 memory: 18108 grad_norm: 3.0773 loss: 4.4312 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5470 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8841 2023/02/01 10:03:54 - mmengine - INFO - Epoch(train) [93][1180/1879] lr: 8.3756e-02 eta: 1 day, 19:17:28 time: 0.5239 data_time: 0.0365 memory: 18108 grad_norm: 3.1034 loss: 4.3354 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4173 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.9180 2023/02/01 10:04:05 - mmengine - INFO - Epoch(train) [93][1200/1879] lr: 8.3751e-02 eta: 1 day, 19:17:19 time: 0.5506 data_time: 0.0393 memory: 18108 grad_norm: 3.1247 loss: 4.5400 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6355 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.9045 2023/02/01 10:04:16 - mmengine - INFO - Epoch(train) [93][1220/1879] lr: 8.3745e-02 eta: 1 day, 19:17:10 time: 0.5301 data_time: 0.0360 memory: 18108 grad_norm: 3.1155 loss: 4.7895 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 2.8824 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9071 2023/02/01 10:04:26 - mmengine - INFO - Epoch(train) [93][1240/1879] lr: 8.3740e-02 eta: 1 day, 19:17:00 time: 0.5134 data_time: 0.0318 memory: 18108 grad_norm: 3.1113 loss: 4.2683 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.3880 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.8803 2023/02/01 10:04:37 - mmengine - INFO - Epoch(train) [93][1260/1879] lr: 8.3734e-02 eta: 1 day, 19:16:50 time: 0.5225 data_time: 0.0432 memory: 18108 grad_norm: 3.0843 loss: 4.4227 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5360 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8868 2023/02/01 10:04:47 - mmengine - INFO - Epoch(train) [93][1280/1879] lr: 8.3729e-02 eta: 1 day, 19:16:41 time: 0.5248 data_time: 0.0283 memory: 18108 grad_norm: 3.0987 loss: 4.4084 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6459 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7625 2023/02/01 10:04:58 - mmengine - INFO - Epoch(train) [93][1300/1879] lr: 8.3723e-02 eta: 1 day, 19:16:31 time: 0.5155 data_time: 0.0378 memory: 18108 grad_norm: 3.0711 loss: 4.2715 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3776 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.8940 2023/02/01 10:05:08 - mmengine - INFO - Epoch(train) [93][1320/1879] lr: 8.3718e-02 eta: 1 day, 19:16:21 time: 0.5059 data_time: 0.0303 memory: 18108 grad_norm: 3.0502 loss: 4.5149 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.6564 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.8586 2023/02/01 10:05:18 - mmengine - INFO - Epoch(train) [93][1340/1879] lr: 8.3712e-02 eta: 1 day, 19:16:12 time: 0.5379 data_time: 0.0448 memory: 18108 grad_norm: 3.1453 loss: 4.6518 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6897 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9621 2023/02/01 10:05:29 - mmengine - INFO - Epoch(train) [93][1360/1879] lr: 8.3706e-02 eta: 1 day, 19:16:02 time: 0.5208 data_time: 0.0312 memory: 18108 grad_norm: 3.0610 loss: 4.5784 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7630 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8154 2023/02/01 10:05:39 - mmengine - INFO - Epoch(train) [93][1380/1879] lr: 8.3701e-02 eta: 1 day, 19:15:52 time: 0.5165 data_time: 0.0373 memory: 18108 grad_norm: 3.1125 loss: 4.4601 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6095 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8506 2023/02/01 10:05:50 - mmengine - INFO - Epoch(train) [93][1400/1879] lr: 8.3695e-02 eta: 1 day, 19:15:42 time: 0.5233 data_time: 0.0363 memory: 18108 grad_norm: 3.0801 loss: 4.3667 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5420 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.8247 2023/02/01 10:06:00 - mmengine - INFO - Epoch(train) [93][1420/1879] lr: 8.3690e-02 eta: 1 day, 19:15:33 time: 0.5200 data_time: 0.0354 memory: 18108 grad_norm: 3.1060 loss: 4.3704 top1_acc_0: 0.1875 top5_acc_0: 0.7500 loss_cls_0: 2.4655 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9048 2023/02/01 10:06:10 - mmengine - INFO - Epoch(train) [93][1440/1879] lr: 8.3684e-02 eta: 1 day, 19:15:23 time: 0.5153 data_time: 0.0304 memory: 18108 grad_norm: 3.1513 loss: 4.6071 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.7149 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.8923 2023/02/01 10:06:21 - mmengine - INFO - Epoch(train) [93][1460/1879] lr: 8.3679e-02 eta: 1 day, 19:15:13 time: 0.5185 data_time: 0.0381 memory: 18108 grad_norm: 3.1876 loss: 4.4677 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6181 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8496 2023/02/01 10:06:32 - mmengine - INFO - Epoch(train) [93][1480/1879] lr: 8.3673e-02 eta: 1 day, 19:15:04 time: 0.5398 data_time: 0.0391 memory: 18108 grad_norm: 3.0637 loss: 4.5895 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6072 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.9823 2023/02/01 10:06:42 - mmengine - INFO - Epoch(train) [93][1500/1879] lr: 8.3667e-02 eta: 1 day, 19:14:54 time: 0.5246 data_time: 0.0376 memory: 18108 grad_norm: 3.0830 loss: 4.4499 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5048 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9451 2023/02/01 10:06:53 - mmengine - INFO - Epoch(train) [93][1520/1879] lr: 8.3662e-02 eta: 1 day, 19:14:45 time: 0.5188 data_time: 0.0304 memory: 18108 grad_norm: 3.0638 loss: 4.3474 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5052 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.8422 2023/02/01 10:07:03 - mmengine - INFO - Epoch(train) [93][1540/1879] lr: 8.3656e-02 eta: 1 day, 19:14:35 time: 0.5265 data_time: 0.0437 memory: 18108 grad_norm: 3.0607 loss: 4.4870 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6406 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8464 2023/02/01 10:07:14 - mmengine - INFO - Epoch(train) [93][1560/1879] lr: 8.3651e-02 eta: 1 day, 19:14:26 time: 0.5293 data_time: 0.0297 memory: 18108 grad_norm: 3.1192 loss: 4.6599 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7945 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.8654 2023/02/01 10:07:24 - mmengine - INFO - Epoch(train) [93][1580/1879] lr: 8.3645e-02 eta: 1 day, 19:14:16 time: 0.5236 data_time: 0.0380 memory: 18108 grad_norm: 3.0991 loss: 4.4191 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5603 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.8588 2023/02/01 10:07:35 - mmengine - INFO - Epoch(train) [93][1600/1879] lr: 8.3640e-02 eta: 1 day, 19:14:06 time: 0.5176 data_time: 0.0287 memory: 18108 grad_norm: 3.0337 loss: 4.6146 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.6454 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.9691 2023/02/01 10:07:45 - mmengine - INFO - Epoch(train) [93][1620/1879] lr: 8.3634e-02 eta: 1 day, 19:13:57 time: 0.5432 data_time: 0.0455 memory: 18108 grad_norm: 3.0712 loss: 4.4678 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6587 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8091 2023/02/01 10:07:56 - mmengine - INFO - Epoch(train) [93][1640/1879] lr: 8.3628e-02 eta: 1 day, 19:13:48 time: 0.5361 data_time: 0.0282 memory: 18108 grad_norm: 3.1720 loss: 4.4380 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6475 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.7905 2023/02/01 10:08:07 - mmengine - INFO - Epoch(train) [93][1660/1879] lr: 8.3623e-02 eta: 1 day, 19:13:39 time: 0.5354 data_time: 0.0365 memory: 18108 grad_norm: 3.0720 loss: 4.4270 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.3983 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 2.0287 2023/02/01 10:08:17 - mmengine - INFO - Epoch(train) [93][1680/1879] lr: 8.3617e-02 eta: 1 day, 19:13:30 time: 0.5241 data_time: 0.0435 memory: 18108 grad_norm: 3.0968 loss: 4.5442 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6361 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.9081 2023/02/01 10:08:28 - mmengine - INFO - Epoch(train) [93][1700/1879] lr: 8.3612e-02 eta: 1 day, 19:13:21 time: 0.5471 data_time: 0.0351 memory: 18108 grad_norm: 3.0524 loss: 4.3099 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.4873 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.8226 2023/02/01 10:08:39 - mmengine - INFO - Epoch(train) [93][1720/1879] lr: 8.3606e-02 eta: 1 day, 19:13:12 time: 0.5359 data_time: 0.0284 memory: 18108 grad_norm: 3.1193 loss: 4.2145 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.4374 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.7771 2023/02/01 10:08:50 - mmengine - INFO - Epoch(train) [93][1740/1879] lr: 8.3601e-02 eta: 1 day, 19:13:02 time: 0.5265 data_time: 0.0442 memory: 18108 grad_norm: 3.1442 loss: 4.5257 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6734 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.8522 2023/02/01 10:09:00 - mmengine - INFO - Epoch(train) [93][1760/1879] lr: 8.3595e-02 eta: 1 day, 19:12:52 time: 0.5123 data_time: 0.0287 memory: 18108 grad_norm: 3.0728 loss: 4.2744 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4668 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 1.8077 2023/02/01 10:09:11 - mmengine - INFO - Epoch(train) [93][1780/1879] lr: 8.3589e-02 eta: 1 day, 19:12:43 time: 0.5449 data_time: 0.0372 memory: 18108 grad_norm: 3.1017 loss: 4.3254 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4609 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.8645 2023/02/01 10:09:21 - mmengine - INFO - Epoch(train) [93][1800/1879] lr: 8.3584e-02 eta: 1 day, 19:12:33 time: 0.5169 data_time: 0.0309 memory: 18108 grad_norm: 3.1716 loss: 4.4111 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5684 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8427 2023/02/01 10:09:32 - mmengine - INFO - Epoch(train) [93][1820/1879] lr: 8.3578e-02 eta: 1 day, 19:12:24 time: 0.5302 data_time: 0.0443 memory: 18108 grad_norm: 3.1444 loss: 4.3212 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5347 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.7865 2023/02/01 10:09:42 - mmengine - INFO - Epoch(train) [93][1840/1879] lr: 8.3573e-02 eta: 1 day, 19:12:15 time: 0.5331 data_time: 0.0299 memory: 18108 grad_norm: 3.1429 loss: 4.4532 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6780 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7752 2023/02/01 10:09:53 - mmengine - INFO - Epoch(train) [93][1860/1879] lr: 8.3567e-02 eta: 1 day, 19:12:06 time: 0.5351 data_time: 0.0376 memory: 18108 grad_norm: 3.1315 loss: 4.5319 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.6556 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.8762 2023/02/01 10:10:02 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 10:10:02 - mmengine - INFO - Epoch(train) [93][1879/1879] lr: 8.3562e-02 eta: 1 day, 19:11:55 time: 0.4915 data_time: 0.0287 memory: 18108 grad_norm: 3.2291 loss: 4.4261 top1_acc_0: 0.0000 top5_acc_0: 0.2857 loss_cls_0: 2.5856 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 1.8405 2023/02/01 10:10:17 - mmengine - INFO - Epoch(train) [94][ 20/1879] lr: 8.3556e-02 eta: 1 day, 19:11:52 time: 0.7092 data_time: 0.2720 memory: 18108 grad_norm: 3.0439 loss: 4.2933 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5237 top1_acc_1: 0.5059 top5_acc_1: 0.8235 loss_cls_1: 1.7696 2023/02/01 10:10:27 - mmengine - INFO - Epoch(train) [94][ 40/1879] lr: 8.3551e-02 eta: 1 day, 19:11:40 time: 0.4612 data_time: 0.0314 memory: 18108 grad_norm: 3.1031 loss: 4.0687 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3098 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.7589 2023/02/01 10:10:36 - mmengine - INFO - Epoch(train) [94][ 60/1879] lr: 8.3545e-02 eta: 1 day, 19:11:29 time: 0.4679 data_time: 0.0403 memory: 18108 grad_norm: 3.0771 loss: 3.9487 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1834 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.7654 2023/02/01 10:10:46 - mmengine - INFO - Epoch(train) [94][ 80/1879] lr: 8.3540e-02 eta: 1 day, 19:11:19 time: 0.5081 data_time: 0.0394 memory: 18108 grad_norm: 3.1106 loss: 4.3101 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 2.5083 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 1.8017 2023/02/01 10:10:56 - mmengine - INFO - Epoch(train) [94][ 100/1879] lr: 8.3534e-02 eta: 1 day, 19:11:07 time: 0.4699 data_time: 0.0407 memory: 18108 grad_norm: 3.0602 loss: 4.2822 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.5618 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7204 2023/02/01 10:11:05 - mmengine - INFO - Epoch(train) [94][ 120/1879] lr: 8.3528e-02 eta: 1 day, 19:10:55 time: 0.4639 data_time: 0.0302 memory: 18108 grad_norm: 3.1079 loss: 4.4035 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5880 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8155 2023/02/01 10:11:14 - mmengine - INFO - Epoch(train) [94][ 140/1879] lr: 8.3523e-02 eta: 1 day, 19:10:44 time: 0.4795 data_time: 0.0389 memory: 18108 grad_norm: 3.0940 loss: 4.3296 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4739 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8557 2023/02/01 10:11:24 - mmengine - INFO - Epoch(train) [94][ 160/1879] lr: 8.3517e-02 eta: 1 day, 19:10:34 time: 0.4974 data_time: 0.0357 memory: 18108 grad_norm: 3.1015 loss: 4.3760 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4723 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.9037 2023/02/01 10:11:34 - mmengine - INFO - Epoch(train) [94][ 180/1879] lr: 8.3512e-02 eta: 1 day, 19:10:23 time: 0.4809 data_time: 0.0399 memory: 18108 grad_norm: 3.1697 loss: 4.2789 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4969 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7819 2023/02/01 10:11:43 - mmengine - INFO - Epoch(train) [94][ 200/1879] lr: 8.3506e-02 eta: 1 day, 19:10:11 time: 0.4693 data_time: 0.0307 memory: 18108 grad_norm: 3.1382 loss: 4.1508 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3910 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.7598 2023/02/01 10:11:53 - mmengine - INFO - Epoch(train) [94][ 220/1879] lr: 8.3500e-02 eta: 1 day, 19:10:00 time: 0.4837 data_time: 0.0456 memory: 18108 grad_norm: 3.1488 loss: 4.4381 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5788 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.8592 2023/02/01 10:12:03 - mmengine - INFO - Epoch(train) [94][ 240/1879] lr: 8.3495e-02 eta: 1 day, 19:09:49 time: 0.4904 data_time: 0.0317 memory: 18108 grad_norm: 3.0657 loss: 4.2198 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4824 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.7374 2023/02/01 10:12:09 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 10:12:13 - mmengine - INFO - Epoch(train) [94][ 260/1879] lr: 8.3489e-02 eta: 1 day, 19:09:38 time: 0.4786 data_time: 0.0418 memory: 18108 grad_norm: 3.0443 loss: 4.3824 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.5592 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.8232 2023/02/01 10:12:22 - mmengine - INFO - Epoch(train) [94][ 280/1879] lr: 8.3484e-02 eta: 1 day, 19:09:27 time: 0.4743 data_time: 0.0312 memory: 18108 grad_norm: 3.0974 loss: 4.4732 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6645 top1_acc_1: 0.6353 top5_acc_1: 0.7647 loss_cls_1: 1.8087 2023/02/01 10:12:32 - mmengine - INFO - Epoch(train) [94][ 300/1879] lr: 8.3478e-02 eta: 1 day, 19:09:16 time: 0.4966 data_time: 0.0382 memory: 18108 grad_norm: 3.1410 loss: 4.3080 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5032 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.8048 2023/02/01 10:12:42 - mmengine - INFO - Epoch(train) [94][ 320/1879] lr: 8.3472e-02 eta: 1 day, 19:09:06 time: 0.4977 data_time: 0.0327 memory: 18108 grad_norm: 3.1634 loss: 4.5007 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7392 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7615 2023/02/01 10:12:52 - mmengine - INFO - Epoch(train) [94][ 340/1879] lr: 8.3467e-02 eta: 1 day, 19:08:55 time: 0.4842 data_time: 0.0370 memory: 18108 grad_norm: 3.1056 loss: 4.3248 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5560 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7688 2023/02/01 10:13:01 - mmengine - INFO - Epoch(train) [94][ 360/1879] lr: 8.3461e-02 eta: 1 day, 19:08:44 time: 0.4860 data_time: 0.0303 memory: 18108 grad_norm: 3.0673 loss: 4.0946 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3718 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7228 2023/02/01 10:13:11 - mmengine - INFO - Epoch(train) [94][ 380/1879] lr: 8.3456e-02 eta: 1 day, 19:08:33 time: 0.4941 data_time: 0.0394 memory: 18108 grad_norm: 3.1444 loss: 4.0614 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.3983 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.6631 2023/02/01 10:13:22 - mmengine - INFO - Epoch(train) [94][ 400/1879] lr: 8.3450e-02 eta: 1 day, 19:08:23 time: 0.5134 data_time: 0.0297 memory: 18108 grad_norm: 3.1267 loss: 4.3442 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.6052 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7390 2023/02/01 10:13:32 - mmengine - INFO - Epoch(train) [94][ 420/1879] lr: 8.3444e-02 eta: 1 day, 19:08:13 time: 0.5012 data_time: 0.0388 memory: 18108 grad_norm: 3.1082 loss: 4.2913 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.4606 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.8308 2023/02/01 10:13:42 - mmengine - INFO - Epoch(train) [94][ 440/1879] lr: 8.3439e-02 eta: 1 day, 19:08:03 time: 0.4999 data_time: 0.0371 memory: 18108 grad_norm: 3.1499 loss: 4.2495 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4855 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.7640 2023/02/01 10:13:52 - mmengine - INFO - Epoch(train) [94][ 460/1879] lr: 8.3433e-02 eta: 1 day, 19:07:52 time: 0.5046 data_time: 0.0404 memory: 18108 grad_norm: 3.0897 loss: 4.3304 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5128 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.8176 2023/02/01 10:14:02 - mmengine - INFO - Epoch(train) [94][ 480/1879] lr: 8.3428e-02 eta: 1 day, 19:07:43 time: 0.5179 data_time: 0.0300 memory: 18108 grad_norm: 3.0782 loss: 4.2945 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5154 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.7790 2023/02/01 10:14:12 - mmengine - INFO - Epoch(train) [94][ 500/1879] lr: 8.3422e-02 eta: 1 day, 19:07:32 time: 0.5083 data_time: 0.0457 memory: 18108 grad_norm: 3.1011 loss: 4.2448 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.4651 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.7797 2023/02/01 10:14:23 - mmengine - INFO - Epoch(train) [94][ 520/1879] lr: 8.3416e-02 eta: 1 day, 19:07:23 time: 0.5229 data_time: 0.0301 memory: 18108 grad_norm: 3.1038 loss: 4.1911 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3905 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.8007 2023/02/01 10:14:33 - mmengine - INFO - Epoch(train) [94][ 540/1879] lr: 8.3411e-02 eta: 1 day, 19:07:12 time: 0.4999 data_time: 0.0376 memory: 18108 grad_norm: 3.2115 loss: 4.3374 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5810 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7564 2023/02/01 10:14:43 - mmengine - INFO - Epoch(train) [94][ 560/1879] lr: 8.3405e-02 eta: 1 day, 19:07:02 time: 0.5153 data_time: 0.0288 memory: 18108 grad_norm: 3.1127 loss: 4.3276 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4432 top1_acc_1: 0.6235 top5_acc_1: 0.7412 loss_cls_1: 1.8844 2023/02/01 10:14:53 - mmengine - INFO - Epoch(train) [94][ 580/1879] lr: 8.3400e-02 eta: 1 day, 19:06:53 time: 0.5177 data_time: 0.0456 memory: 18108 grad_norm: 3.1109 loss: 4.3702 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.5364 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8338 2023/02/01 10:15:04 - mmengine - INFO - Epoch(train) [94][ 600/1879] lr: 8.3394e-02 eta: 1 day, 19:06:42 time: 0.5070 data_time: 0.0307 memory: 18108 grad_norm: 3.1197 loss: 4.1522 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3023 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8498 2023/02/01 10:15:14 - mmengine - INFO - Epoch(train) [94][ 620/1879] lr: 8.3388e-02 eta: 1 day, 19:06:33 time: 0.5170 data_time: 0.0351 memory: 18108 grad_norm: 3.1903 loss: 4.3874 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.6708 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7165 2023/02/01 10:15:24 - mmengine - INFO - Epoch(train) [94][ 640/1879] lr: 8.3383e-02 eta: 1 day, 19:06:22 time: 0.5026 data_time: 0.0361 memory: 18108 grad_norm: 3.1471 loss: 4.4745 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6615 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8130 2023/02/01 10:15:34 - mmengine - INFO - Epoch(train) [94][ 660/1879] lr: 8.3377e-02 eta: 1 day, 19:06:12 time: 0.5118 data_time: 0.0403 memory: 18108 grad_norm: 3.1272 loss: 4.6662 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8324 top1_acc_1: 0.4588 top5_acc_1: 0.7765 loss_cls_1: 1.8338 2023/02/01 10:15:44 - mmengine - INFO - Epoch(train) [94][ 680/1879] lr: 8.3372e-02 eta: 1 day, 19:06:02 time: 0.5076 data_time: 0.0327 memory: 18108 grad_norm: 3.1317 loss: 4.3078 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4708 top1_acc_1: 0.5059 top5_acc_1: 0.8471 loss_cls_1: 1.8370 2023/02/01 10:15:54 - mmengine - INFO - Epoch(train) [94][ 700/1879] lr: 8.3366e-02 eta: 1 day, 19:05:51 time: 0.4900 data_time: 0.0339 memory: 18108 grad_norm: 3.1770 loss: 4.4938 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6386 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.8552 2023/02/01 10:16:04 - mmengine - INFO - Epoch(train) [94][ 720/1879] lr: 8.3360e-02 eta: 1 day, 19:05:41 time: 0.5097 data_time: 0.0345 memory: 18108 grad_norm: 3.1742 loss: 4.4441 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5735 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.8705 2023/02/01 10:16:14 - mmengine - INFO - Epoch(train) [94][ 740/1879] lr: 8.3355e-02 eta: 1 day, 19:05:30 time: 0.4873 data_time: 0.0340 memory: 18108 grad_norm: 3.1109 loss: 4.4326 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5683 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.8643 2023/02/01 10:16:24 - mmengine - INFO - Epoch(train) [94][ 760/1879] lr: 8.3349e-02 eta: 1 day, 19:05:21 time: 0.5162 data_time: 0.0352 memory: 18108 grad_norm: 3.1533 loss: 4.3584 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6471 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7113 2023/02/01 10:16:34 - mmengine - INFO - Epoch(train) [94][ 780/1879] lr: 8.3344e-02 eta: 1 day, 19:05:10 time: 0.4843 data_time: 0.0350 memory: 18108 grad_norm: 3.0793 loss: 4.3454 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4105 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.9349 2023/02/01 10:16:44 - mmengine - INFO - Epoch(train) [94][ 800/1879] lr: 8.3338e-02 eta: 1 day, 19:04:59 time: 0.5092 data_time: 0.0422 memory: 18108 grad_norm: 3.1453 loss: 4.4888 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5941 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.8946 2023/02/01 10:16:55 - mmengine - INFO - Epoch(train) [94][ 820/1879] lr: 8.3332e-02 eta: 1 day, 19:04:49 time: 0.5064 data_time: 0.0350 memory: 18108 grad_norm: 3.1735 loss: 4.3163 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4803 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8360 2023/02/01 10:17:05 - mmengine - INFO - Epoch(train) [94][ 840/1879] lr: 8.3327e-02 eta: 1 day, 19:04:39 time: 0.5026 data_time: 0.0357 memory: 18108 grad_norm: 3.1377 loss: 4.5652 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6685 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.8967 2023/02/01 10:17:14 - mmengine - INFO - Epoch(train) [94][ 860/1879] lr: 8.3321e-02 eta: 1 day, 19:04:28 time: 0.4946 data_time: 0.0350 memory: 18108 grad_norm: 3.1489 loss: 4.0429 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3234 top1_acc_1: 0.4353 top5_acc_1: 0.7529 loss_cls_1: 1.7195 2023/02/01 10:17:25 - mmengine - INFO - Epoch(train) [94][ 880/1879] lr: 8.3315e-02 eta: 1 day, 19:04:18 time: 0.5152 data_time: 0.0378 memory: 18108 grad_norm: 3.1544 loss: 4.4280 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.6559 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.7721 2023/02/01 10:17:35 - mmengine - INFO - Epoch(train) [94][ 900/1879] lr: 8.3310e-02 eta: 1 day, 19:04:08 time: 0.4898 data_time: 0.0362 memory: 18108 grad_norm: 3.1293 loss: 4.3843 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4826 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.9017 2023/02/01 10:17:45 - mmengine - INFO - Epoch(train) [94][ 920/1879] lr: 8.3304e-02 eta: 1 day, 19:03:57 time: 0.5012 data_time: 0.0359 memory: 18108 grad_norm: 3.1229 loss: 4.4142 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6519 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.7624 2023/02/01 10:17:55 - mmengine - INFO - Epoch(train) [94][ 940/1879] lr: 8.3299e-02 eta: 1 day, 19:03:47 time: 0.4960 data_time: 0.0444 memory: 18108 grad_norm: 3.1045 loss: 4.5749 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7316 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8433 2023/02/01 10:18:05 - mmengine - INFO - Epoch(train) [94][ 960/1879] lr: 8.3293e-02 eta: 1 day, 19:03:37 time: 0.5083 data_time: 0.0348 memory: 18108 grad_norm: 3.0718 loss: 4.4373 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5274 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 1.9098 2023/02/01 10:18:15 - mmengine - INFO - Epoch(train) [94][ 980/1879] lr: 8.3287e-02 eta: 1 day, 19:03:26 time: 0.4911 data_time: 0.0352 memory: 18108 grad_norm: 3.1139 loss: 4.3020 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5117 top1_acc_1: 0.6235 top5_acc_1: 0.7294 loss_cls_1: 1.7903 2023/02/01 10:18:25 - mmengine - INFO - Epoch(train) [94][1000/1879] lr: 8.3282e-02 eta: 1 day, 19:03:16 time: 0.5112 data_time: 0.0351 memory: 18108 grad_norm: 3.1802 loss: 4.3779 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5784 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7995 2023/02/01 10:18:35 - mmengine - INFO - Epoch(train) [94][1020/1879] lr: 8.3276e-02 eta: 1 day, 19:03:06 time: 0.5049 data_time: 0.0419 memory: 18108 grad_norm: 3.0932 loss: 4.2363 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.4466 top1_acc_1: 0.5059 top5_acc_1: 0.6941 loss_cls_1: 1.7897 2023/02/01 10:18:45 - mmengine - INFO - Epoch(train) [94][1040/1879] lr: 8.3271e-02 eta: 1 day, 19:02:55 time: 0.5071 data_time: 0.0340 memory: 18108 grad_norm: 3.1304 loss: 4.5776 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6182 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.9594 2023/02/01 10:18:55 - mmengine - INFO - Epoch(train) [94][1060/1879] lr: 8.3265e-02 eta: 1 day, 19:02:44 time: 0.4834 data_time: 0.0347 memory: 18108 grad_norm: 3.1281 loss: 4.5044 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6382 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.8661 2023/02/01 10:19:05 - mmengine - INFO - Epoch(train) [94][1080/1879] lr: 8.3259e-02 eta: 1 day, 19:02:34 time: 0.5133 data_time: 0.0342 memory: 18108 grad_norm: 3.0823 loss: 4.6048 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7214 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.8833 2023/02/01 10:19:15 - mmengine - INFO - Epoch(train) [94][1100/1879] lr: 8.3254e-02 eta: 1 day, 19:02:24 time: 0.4969 data_time: 0.0349 memory: 18108 grad_norm: 3.1194 loss: 4.4215 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6026 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.8188 2023/02/01 10:19:25 - mmengine - INFO - Epoch(train) [94][1120/1879] lr: 8.3248e-02 eta: 1 day, 19:02:13 time: 0.5003 data_time: 0.0343 memory: 18108 grad_norm: 3.0720 loss: 4.3752 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5558 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8194 2023/02/01 10:19:35 - mmengine - INFO - Epoch(train) [94][1140/1879] lr: 8.3242e-02 eta: 1 day, 19:02:03 time: 0.4939 data_time: 0.0351 memory: 18108 grad_norm: 3.1315 loss: 4.4459 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5184 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.9274 2023/02/01 10:19:45 - mmengine - INFO - Epoch(train) [94][1160/1879] lr: 8.3237e-02 eta: 1 day, 19:01:53 time: 0.5283 data_time: 0.0431 memory: 18108 grad_norm: 3.1424 loss: 4.1926 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4331 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7595 2023/02/01 10:19:55 - mmengine - INFO - Epoch(train) [94][1180/1879] lr: 8.3231e-02 eta: 1 day, 19:01:43 time: 0.4896 data_time: 0.0337 memory: 18108 grad_norm: 3.1111 loss: 4.4967 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6869 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8097 2023/02/01 10:20:05 - mmengine - INFO - Epoch(train) [94][1200/1879] lr: 8.3226e-02 eta: 1 day, 19:01:32 time: 0.5073 data_time: 0.0328 memory: 18108 grad_norm: 3.1451 loss: 4.4181 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5877 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8304 2023/02/01 10:20:16 - mmengine - INFO - Epoch(train) [94][1220/1879] lr: 8.3220e-02 eta: 1 day, 19:01:22 time: 0.5043 data_time: 0.0355 memory: 18108 grad_norm: 3.1765 loss: 4.3534 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.4143 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 1.9391 2023/02/01 10:20:26 - mmengine - INFO - Epoch(train) [94][1240/1879] lr: 8.3214e-02 eta: 1 day, 19:01:12 time: 0.5044 data_time: 0.0401 memory: 18108 grad_norm: 3.1124 loss: 4.2761 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3268 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9494 2023/02/01 10:20:32 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 10:20:36 - mmengine - INFO - Epoch(train) [94][1260/1879] lr: 8.3209e-02 eta: 1 day, 19:01:01 time: 0.4969 data_time: 0.0339 memory: 18108 grad_norm: 3.1125 loss: 4.2175 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3843 top1_acc_1: 0.5412 top5_acc_1: 0.8471 loss_cls_1: 1.8332 2023/02/01 10:20:46 - mmengine - INFO - Epoch(train) [94][1280/1879] lr: 8.3203e-02 eta: 1 day, 19:00:52 time: 0.5208 data_time: 0.0338 memory: 18108 grad_norm: 3.1127 loss: 4.5801 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6725 top1_acc_1: 0.5647 top5_acc_1: 0.8706 loss_cls_1: 1.9076 2023/02/01 10:20:56 - mmengine - INFO - Epoch(train) [94][1300/1879] lr: 8.3197e-02 eta: 1 day, 19:00:41 time: 0.4952 data_time: 0.0353 memory: 18108 grad_norm: 3.1261 loss: 4.4039 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6207 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.7832 2023/02/01 10:21:06 - mmengine - INFO - Epoch(train) [94][1320/1879] lr: 8.3192e-02 eta: 1 day, 19:00:31 time: 0.5131 data_time: 0.0361 memory: 18108 grad_norm: 3.0869 loss: 4.2302 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2866 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 1.9437 2023/02/01 10:21:16 - mmengine - INFO - Epoch(train) [94][1340/1879] lr: 8.3186e-02 eta: 1 day, 19:00:20 time: 0.4910 data_time: 0.0338 memory: 18108 grad_norm: 3.1064 loss: 4.3670 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5246 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.8424 2023/02/01 10:21:26 - mmengine - INFO - Epoch(train) [94][1360/1879] lr: 8.3180e-02 eta: 1 day, 19:00:11 time: 0.5157 data_time: 0.0333 memory: 18108 grad_norm: 3.0891 loss: 4.2609 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4125 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.8484 2023/02/01 10:21:36 - mmengine - INFO - Epoch(train) [94][1380/1879] lr: 8.3175e-02 eta: 1 day, 19:00:00 time: 0.4942 data_time: 0.0413 memory: 18108 grad_norm: 3.0642 loss: 4.3627 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5126 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.8501 2023/02/01 10:21:46 - mmengine - INFO - Epoch(train) [94][1400/1879] lr: 8.3169e-02 eta: 1 day, 18:59:50 time: 0.5095 data_time: 0.0339 memory: 18108 grad_norm: 3.0386 loss: 4.1466 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4263 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.7202 2023/02/01 10:21:56 - mmengine - INFO - Epoch(train) [94][1420/1879] lr: 8.3164e-02 eta: 1 day, 18:59:39 time: 0.4976 data_time: 0.0336 memory: 18108 grad_norm: 3.1161 loss: 4.4311 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6629 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.7682 2023/02/01 10:22:07 - mmengine - INFO - Epoch(train) [94][1440/1879] lr: 8.3158e-02 eta: 1 day, 18:59:29 time: 0.5067 data_time: 0.0342 memory: 18108 grad_norm: 3.1489 loss: 4.5143 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7698 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.7445 2023/02/01 10:22:16 - mmengine - INFO - Epoch(train) [94][1460/1879] lr: 8.3152e-02 eta: 1 day, 18:59:18 time: 0.4910 data_time: 0.0335 memory: 18108 grad_norm: 3.1176 loss: 4.4684 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6138 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8546 2023/02/01 10:22:27 - mmengine - INFO - Epoch(train) [94][1480/1879] lr: 8.3147e-02 eta: 1 day, 18:59:09 time: 0.5258 data_time: 0.0327 memory: 18108 grad_norm: 3.1119 loss: 4.4820 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6618 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8202 2023/02/01 10:22:37 - mmengine - INFO - Epoch(train) [94][1500/1879] lr: 8.3141e-02 eta: 1 day, 18:58:59 time: 0.5024 data_time: 0.0334 memory: 18108 grad_norm: 3.1702 loss: 4.3576 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5058 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.8518 2023/02/01 10:22:47 - mmengine - INFO - Epoch(train) [94][1520/1879] lr: 8.3135e-02 eta: 1 day, 18:58:48 time: 0.5036 data_time: 0.0354 memory: 18108 grad_norm: 3.2198 loss: 4.4057 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5886 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8171 2023/02/01 10:22:57 - mmengine - INFO - Epoch(train) [94][1540/1879] lr: 8.3130e-02 eta: 1 day, 18:58:38 time: 0.5001 data_time: 0.0407 memory: 18108 grad_norm: 3.1466 loss: 4.6076 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 2.7308 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.8768 2023/02/01 10:23:08 - mmengine - INFO - Epoch(train) [94][1560/1879] lr: 8.3124e-02 eta: 1 day, 18:58:28 time: 0.5321 data_time: 0.0346 memory: 18108 grad_norm: 3.0716 loss: 4.3870 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4693 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.9177 2023/02/01 10:23:18 - mmengine - INFO - Epoch(train) [94][1580/1879] lr: 8.3118e-02 eta: 1 day, 18:58:18 time: 0.4927 data_time: 0.0340 memory: 18108 grad_norm: 3.1053 loss: 4.3005 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4303 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.8702 2023/02/01 10:23:28 - mmengine - INFO - Epoch(train) [94][1600/1879] lr: 8.3113e-02 eta: 1 day, 18:58:08 time: 0.5058 data_time: 0.0436 memory: 18108 grad_norm: 3.1038 loss: 4.2805 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4592 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8212 2023/02/01 10:23:38 - mmengine - INFO - Epoch(train) [94][1620/1879] lr: 8.3107e-02 eta: 1 day, 18:57:57 time: 0.4936 data_time: 0.0307 memory: 18108 grad_norm: 3.1318 loss: 4.5194 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6322 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8873 2023/02/01 10:23:48 - mmengine - INFO - Epoch(train) [94][1640/1879] lr: 8.3102e-02 eta: 1 day, 18:57:47 time: 0.5055 data_time: 0.0375 memory: 18108 grad_norm: 3.0735 loss: 4.4828 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6036 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.8792 2023/02/01 10:23:58 - mmengine - INFO - Epoch(train) [94][1660/1879] lr: 8.3096e-02 eta: 1 day, 18:57:36 time: 0.5029 data_time: 0.0309 memory: 18108 grad_norm: 3.0869 loss: 4.3866 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5505 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.8361 2023/02/01 10:24:08 - mmengine - INFO - Epoch(train) [94][1680/1879] lr: 8.3090e-02 eta: 1 day, 18:57:26 time: 0.5130 data_time: 0.0351 memory: 18108 grad_norm: 3.0578 loss: 4.3877 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5442 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.8435 2023/02/01 10:24:18 - mmengine - INFO - Epoch(train) [94][1700/1879] lr: 8.3085e-02 eta: 1 day, 18:57:16 time: 0.4879 data_time: 0.0327 memory: 18108 grad_norm: 3.1404 loss: 4.4175 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4923 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.9252 2023/02/01 10:24:28 - mmengine - INFO - Epoch(train) [94][1720/1879] lr: 8.3079e-02 eta: 1 day, 18:57:06 time: 0.5308 data_time: 0.0380 memory: 18108 grad_norm: 3.0532 loss: 4.5594 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6913 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.8681 2023/02/01 10:24:38 - mmengine - INFO - Epoch(train) [94][1740/1879] lr: 8.3073e-02 eta: 1 day, 18:56:56 time: 0.4913 data_time: 0.0386 memory: 18108 grad_norm: 3.0856 loss: 4.4038 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4960 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.9078 2023/02/01 10:24:48 - mmengine - INFO - Epoch(train) [94][1760/1879] lr: 8.3068e-02 eta: 1 day, 18:56:45 time: 0.4965 data_time: 0.0358 memory: 18108 grad_norm: 3.0525 loss: 4.3486 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5948 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.7538 2023/02/01 10:24:58 - mmengine - INFO - Epoch(train) [94][1780/1879] lr: 8.3062e-02 eta: 1 day, 18:56:34 time: 0.4981 data_time: 0.0316 memory: 18108 grad_norm: 3.0889 loss: 4.3768 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5922 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.7846 2023/02/01 10:25:08 - mmengine - INFO - Epoch(train) [94][1800/1879] lr: 8.3056e-02 eta: 1 day, 18:56:24 time: 0.5051 data_time: 0.0376 memory: 18108 grad_norm: 3.0187 loss: 4.5457 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6759 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.8698 2023/02/01 10:25:19 - mmengine - INFO - Epoch(train) [94][1820/1879] lr: 8.3051e-02 eta: 1 day, 18:56:14 time: 0.5099 data_time: 0.0414 memory: 18108 grad_norm: 3.0686 loss: 4.4447 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.6141 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8305 2023/02/01 10:25:29 - mmengine - INFO - Epoch(train) [94][1840/1879] lr: 8.3045e-02 eta: 1 day, 18:56:04 time: 0.5026 data_time: 0.0325 memory: 18108 grad_norm: 3.0756 loss: 4.3839 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4926 top1_acc_1: 0.4588 top5_acc_1: 0.7059 loss_cls_1: 1.8913 2023/02/01 10:25:39 - mmengine - INFO - Epoch(train) [94][1860/1879] lr: 8.3039e-02 eta: 1 day, 18:55:54 time: 0.5034 data_time: 0.0362 memory: 18108 grad_norm: 3.0944 loss: 4.2953 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 2.4652 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.8302 2023/02/01 10:25:48 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 10:25:48 - mmengine - INFO - Epoch(train) [94][1879/1879] lr: 8.3034e-02 eta: 1 day, 18:55:43 time: 0.4827 data_time: 0.0359 memory: 18108 grad_norm: 3.1713 loss: 4.4280 top1_acc_0: 0.1429 top5_acc_0: 0.5714 loss_cls_0: 2.6117 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.8163 2023/02/01 10:26:03 - mmengine - INFO - Epoch(train) [95][ 20/1879] lr: 8.3028e-02 eta: 1 day, 18:55:40 time: 0.7224 data_time: 0.2668 memory: 18108 grad_norm: 3.0914 loss: 4.3944 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6547 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7397 2023/02/01 10:26:13 - mmengine - INFO - Epoch(train) [95][ 40/1879] lr: 8.3023e-02 eta: 1 day, 18:55:29 time: 0.4708 data_time: 0.0342 memory: 18108 grad_norm: 3.0682 loss: 4.1213 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3672 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.7540 2023/02/01 10:26:22 - mmengine - INFO - Epoch(train) [95][ 60/1879] lr: 8.3017e-02 eta: 1 day, 18:55:18 time: 0.4756 data_time: 0.0348 memory: 18108 grad_norm: 3.0535 loss: 4.3515 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5198 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.8317 2023/02/01 10:26:32 - mmengine - INFO - Epoch(train) [95][ 80/1879] lr: 8.3011e-02 eta: 1 day, 18:55:08 time: 0.5209 data_time: 0.0421 memory: 18108 grad_norm: 3.1053 loss: 4.2874 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5110 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7764 2023/02/01 10:26:42 - mmengine - INFO - Epoch(train) [95][ 100/1879] lr: 8.3006e-02 eta: 1 day, 18:54:57 time: 0.4813 data_time: 0.0360 memory: 18108 grad_norm: 3.1253 loss: 4.4547 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7008 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.7539 2023/02/01 10:26:52 - mmengine - INFO - Epoch(train) [95][ 120/1879] lr: 8.3000e-02 eta: 1 day, 18:54:46 time: 0.4776 data_time: 0.0336 memory: 18108 grad_norm: 3.1027 loss: 4.2787 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5135 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.7652 2023/02/01 10:27:02 - mmengine - INFO - Epoch(train) [95][ 140/1879] lr: 8.2994e-02 eta: 1 day, 18:54:35 time: 0.5039 data_time: 0.0359 memory: 18108 grad_norm: 3.1603 loss: 4.5316 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6200 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 1.9116 2023/02/01 10:27:12 - mmengine - INFO - Epoch(train) [95][ 160/1879] lr: 8.2989e-02 eta: 1 day, 18:54:25 time: 0.4939 data_time: 0.0390 memory: 18108 grad_norm: 3.1447 loss: 4.3881 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4986 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.8895 2023/02/01 10:27:21 - mmengine - INFO - Epoch(train) [95][ 180/1879] lr: 8.2983e-02 eta: 1 day, 18:54:14 time: 0.4783 data_time: 0.0347 memory: 18108 grad_norm: 3.1063 loss: 4.0274 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 2.2731 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7543 2023/02/01 10:27:31 - mmengine - INFO - Epoch(train) [95][ 200/1879] lr: 8.2977e-02 eta: 1 day, 18:54:03 time: 0.4800 data_time: 0.0342 memory: 18108 grad_norm: 3.1307 loss: 4.6620 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7671 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8948 2023/02/01 10:27:41 - mmengine - INFO - Epoch(train) [95][ 220/1879] lr: 8.2972e-02 eta: 1 day, 18:53:53 time: 0.5111 data_time: 0.0354 memory: 18108 grad_norm: 3.1520 loss: 4.4714 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.7177 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.7537 2023/02/01 10:27:51 - mmengine - INFO - Epoch(train) [95][ 240/1879] lr: 8.2966e-02 eta: 1 day, 18:53:41 time: 0.4818 data_time: 0.0339 memory: 18108 grad_norm: 3.1922 loss: 4.3728 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5524 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8205 2023/02/01 10:28:00 - mmengine - INFO - Epoch(train) [95][ 260/1879] lr: 8.2960e-02 eta: 1 day, 18:53:31 time: 0.4842 data_time: 0.0343 memory: 18108 grad_norm: 3.1397 loss: 4.4359 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6654 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.7705 2023/02/01 10:28:10 - mmengine - INFO - Epoch(train) [95][ 280/1879] lr: 8.2955e-02 eta: 1 day, 18:53:20 time: 0.5001 data_time: 0.0331 memory: 18108 grad_norm: 3.1032 loss: 4.3833 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4976 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.8857 2023/02/01 10:28:20 - mmengine - INFO - Epoch(train) [95][ 300/1879] lr: 8.2949e-02 eta: 1 day, 18:53:09 time: 0.4942 data_time: 0.0352 memory: 18108 grad_norm: 3.0991 loss: 4.2340 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4394 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.7946 2023/02/01 10:28:30 - mmengine - INFO - Epoch(train) [95][ 320/1879] lr: 8.2943e-02 eta: 1 day, 18:52:58 time: 0.4835 data_time: 0.0345 memory: 18108 grad_norm: 3.1375 loss: 4.3661 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5494 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.8167 2023/02/01 10:28:40 - mmengine - INFO - Epoch(train) [95][ 340/1879] lr: 8.2938e-02 eta: 1 day, 18:52:48 time: 0.4946 data_time: 0.0359 memory: 18108 grad_norm: 3.1057 loss: 4.2401 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4581 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.7820 2023/02/01 10:28:50 - mmengine - INFO - Epoch(train) [95][ 360/1879] lr: 8.2932e-02 eta: 1 day, 18:52:37 time: 0.4951 data_time: 0.0342 memory: 18108 grad_norm: 3.1120 loss: 4.3539 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.4361 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9178 2023/02/01 10:28:57 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 10:29:00 - mmengine - INFO - Epoch(train) [95][ 380/1879] lr: 8.2926e-02 eta: 1 day, 18:52:27 time: 0.4913 data_time: 0.0355 memory: 18108 grad_norm: 3.1471 loss: 4.2601 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4782 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.7820 2023/02/01 10:29:09 - mmengine - INFO - Epoch(train) [95][ 400/1879] lr: 8.2921e-02 eta: 1 day, 18:52:15 time: 0.4805 data_time: 0.0331 memory: 18108 grad_norm: 3.1578 loss: 4.3013 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.4920 top1_acc_1: 0.4471 top5_acc_1: 0.8000 loss_cls_1: 1.8093 2023/02/01 10:29:19 - mmengine - INFO - Epoch(train) [95][ 420/1879] lr: 8.2915e-02 eta: 1 day, 18:52:05 time: 0.4997 data_time: 0.0406 memory: 18108 grad_norm: 3.1870 loss: 4.4859 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6764 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.8095 2023/02/01 10:29:29 - mmengine - INFO - Epoch(train) [95][ 440/1879] lr: 8.2909e-02 eta: 1 day, 18:51:54 time: 0.4938 data_time: 0.0342 memory: 18108 grad_norm: 3.1131 loss: 4.1846 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4800 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.7046 2023/02/01 10:29:39 - mmengine - INFO - Epoch(train) [95][ 460/1879] lr: 8.2904e-02 eta: 1 day, 18:51:44 time: 0.4907 data_time: 0.0363 memory: 18108 grad_norm: 3.0921 loss: 4.2198 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3350 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.8848 2023/02/01 10:29:49 - mmengine - INFO - Epoch(train) [95][ 480/1879] lr: 8.2898e-02 eta: 1 day, 18:51:33 time: 0.4953 data_time: 0.0335 memory: 18108 grad_norm: 3.1419 loss: 4.3385 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 2.5402 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.7983 2023/02/01 10:29:59 - mmengine - INFO - Epoch(train) [95][ 500/1879] lr: 8.2892e-02 eta: 1 day, 18:51:23 time: 0.5059 data_time: 0.0347 memory: 18108 grad_norm: 3.1431 loss: 4.4359 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6245 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.8114 2023/02/01 10:30:09 - mmengine - INFO - Epoch(train) [95][ 520/1879] lr: 8.2887e-02 eta: 1 day, 18:51:12 time: 0.4896 data_time: 0.0332 memory: 18108 grad_norm: 3.1572 loss: 4.4230 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4814 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.9416 2023/02/01 10:30:19 - mmengine - INFO - Epoch(train) [95][ 540/1879] lr: 8.2881e-02 eta: 1 day, 18:51:01 time: 0.4935 data_time: 0.0352 memory: 18108 grad_norm: 3.1367 loss: 4.5311 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6487 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8824 2023/02/01 10:30:29 - mmengine - INFO - Epoch(train) [95][ 560/1879] lr: 8.2875e-02 eta: 1 day, 18:50:51 time: 0.4939 data_time: 0.0336 memory: 18108 grad_norm: 3.1029 loss: 4.4135 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4962 top1_acc_1: 0.4941 top5_acc_1: 0.8118 loss_cls_1: 1.9173 2023/02/01 10:30:39 - mmengine - INFO - Epoch(train) [95][ 580/1879] lr: 8.2870e-02 eta: 1 day, 18:50:41 time: 0.5030 data_time: 0.0346 memory: 18108 grad_norm: 3.0886 loss: 4.1398 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.2960 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 1.8438 2023/02/01 10:30:49 - mmengine - INFO - Epoch(train) [95][ 600/1879] lr: 8.2864e-02 eta: 1 day, 18:50:30 time: 0.4943 data_time: 0.0328 memory: 18108 grad_norm: 3.1224 loss: 4.3423 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4818 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8605 2023/02/01 10:30:59 - mmengine - INFO - Epoch(train) [95][ 620/1879] lr: 8.2858e-02 eta: 1 day, 18:50:20 time: 0.5062 data_time: 0.0352 memory: 18108 grad_norm: 3.1817 loss: 4.6056 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6763 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.9293 2023/02/01 10:31:09 - mmengine - INFO - Epoch(train) [95][ 640/1879] lr: 8.2853e-02 eta: 1 day, 18:50:10 time: 0.5104 data_time: 0.0326 memory: 18108 grad_norm: 3.1278 loss: 4.3227 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5430 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7796 2023/02/01 10:31:19 - mmengine - INFO - Epoch(train) [95][ 660/1879] lr: 8.2847e-02 eta: 1 day, 18:49:59 time: 0.4955 data_time: 0.0369 memory: 18108 grad_norm: 3.1308 loss: 4.4242 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5485 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8757 2023/02/01 10:31:29 - mmengine - INFO - Epoch(train) [95][ 680/1879] lr: 8.2841e-02 eta: 1 day, 18:49:49 time: 0.4968 data_time: 0.0306 memory: 18108 grad_norm: 3.1280 loss: 4.3827 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4902 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8925 2023/02/01 10:31:39 - mmengine - INFO - Epoch(train) [95][ 700/1879] lr: 8.2836e-02 eta: 1 day, 18:49:39 time: 0.5224 data_time: 0.0411 memory: 18108 grad_norm: 3.1216 loss: 4.3894 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5831 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8063 2023/02/01 10:31:49 - mmengine - INFO - Epoch(train) [95][ 720/1879] lr: 8.2830e-02 eta: 1 day, 18:49:29 time: 0.5003 data_time: 0.0308 memory: 18108 grad_norm: 3.1437 loss: 4.5904 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6742 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.9162 2023/02/01 10:31:59 - mmengine - INFO - Epoch(train) [95][ 740/1879] lr: 8.2824e-02 eta: 1 day, 18:49:18 time: 0.5078 data_time: 0.0333 memory: 18108 grad_norm: 3.0950 loss: 4.3515 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5572 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7943 2023/02/01 10:32:10 - mmengine - INFO - Epoch(train) [95][ 760/1879] lr: 8.2819e-02 eta: 1 day, 18:49:08 time: 0.5097 data_time: 0.0332 memory: 18108 grad_norm: 3.1787 loss: 4.2879 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5632 top1_acc_1: 0.4588 top5_acc_1: 0.8235 loss_cls_1: 1.7247 2023/02/01 10:32:20 - mmengine - INFO - Epoch(train) [95][ 780/1879] lr: 8.2813e-02 eta: 1 day, 18:48:59 time: 0.5211 data_time: 0.0394 memory: 18108 grad_norm: 3.1650 loss: 4.2874 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.4245 top1_acc_1: 0.4824 top5_acc_1: 0.8000 loss_cls_1: 1.8628 2023/02/01 10:32:30 - mmengine - INFO - Epoch(train) [95][ 800/1879] lr: 8.2807e-02 eta: 1 day, 18:48:48 time: 0.5057 data_time: 0.0309 memory: 18108 grad_norm: 3.1781 loss: 4.4884 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6610 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8274 2023/02/01 10:32:41 - mmengine - INFO - Epoch(train) [95][ 820/1879] lr: 8.2802e-02 eta: 1 day, 18:48:39 time: 0.5192 data_time: 0.0353 memory: 18108 grad_norm: 3.1747 loss: 4.3642 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.4211 top1_acc_1: 0.4824 top5_acc_1: 0.7882 loss_cls_1: 1.9431 2023/02/01 10:32:51 - mmengine - INFO - Epoch(train) [95][ 840/1879] lr: 8.2796e-02 eta: 1 day, 18:48:29 time: 0.5152 data_time: 0.0336 memory: 18108 grad_norm: 3.1007 loss: 4.5330 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.6049 top1_acc_1: 0.4588 top5_acc_1: 0.6941 loss_cls_1: 1.9281 2023/02/01 10:33:02 - mmengine - INFO - Epoch(train) [95][ 860/1879] lr: 8.2790e-02 eta: 1 day, 18:48:19 time: 0.5332 data_time: 0.0332 memory: 18108 grad_norm: 3.1586 loss: 4.4042 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.6000 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8042 2023/02/01 10:33:12 - mmengine - INFO - Epoch(train) [95][ 880/1879] lr: 8.2785e-02 eta: 1 day, 18:48:10 time: 0.5194 data_time: 0.0394 memory: 18108 grad_norm: 3.2130 loss: 4.4229 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5951 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.8278 2023/02/01 10:33:23 - mmengine - INFO - Epoch(train) [95][ 900/1879] lr: 8.2779e-02 eta: 1 day, 18:48:00 time: 0.5311 data_time: 0.0300 memory: 18108 grad_norm: 3.1367 loss: 4.3012 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4781 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.8230 2023/02/01 10:33:33 - mmengine - INFO - Epoch(train) [95][ 920/1879] lr: 8.2773e-02 eta: 1 day, 18:47:51 time: 0.5176 data_time: 0.0441 memory: 18108 grad_norm: 3.1703 loss: 4.4719 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6434 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.8285 2023/02/01 10:33:44 - mmengine - INFO - Epoch(train) [95][ 940/1879] lr: 8.2767e-02 eta: 1 day, 18:47:41 time: 0.5258 data_time: 0.0291 memory: 18108 grad_norm: 3.0937 loss: 4.4988 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6075 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.8913 2023/02/01 10:33:54 - mmengine - INFO - Epoch(train) [95][ 960/1879] lr: 8.2762e-02 eta: 1 day, 18:47:32 time: 0.5276 data_time: 0.0374 memory: 18108 grad_norm: 3.0745 loss: 4.1931 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3843 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8087 2023/02/01 10:34:05 - mmengine - INFO - Epoch(train) [95][ 980/1879] lr: 8.2756e-02 eta: 1 day, 18:47:22 time: 0.5352 data_time: 0.0347 memory: 18108 grad_norm: 3.1678 loss: 4.5927 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.6349 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.9578 2023/02/01 10:34:16 - mmengine - INFO - Epoch(train) [95][1000/1879] lr: 8.2750e-02 eta: 1 day, 18:47:13 time: 0.5334 data_time: 0.0379 memory: 18108 grad_norm: 3.0786 loss: 4.4851 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7690 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.7161 2023/02/01 10:34:26 - mmengine - INFO - Epoch(train) [95][1020/1879] lr: 8.2745e-02 eta: 1 day, 18:47:03 time: 0.5227 data_time: 0.0289 memory: 18108 grad_norm: 3.0129 loss: 4.3611 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5845 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.7766 2023/02/01 10:34:37 - mmengine - INFO - Epoch(train) [95][1040/1879] lr: 8.2739e-02 eta: 1 day, 18:46:54 time: 0.5403 data_time: 0.0457 memory: 18108 grad_norm: 3.0995 loss: 4.3414 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5395 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.8018 2023/02/01 10:34:47 - mmengine - INFO - Epoch(train) [95][1060/1879] lr: 8.2733e-02 eta: 1 day, 18:46:45 time: 0.5302 data_time: 0.0295 memory: 18108 grad_norm: 3.0524 loss: 4.4419 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6040 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8380 2023/02/01 10:34:58 - mmengine - INFO - Epoch(train) [95][1080/1879] lr: 8.2728e-02 eta: 1 day, 18:46:35 time: 0.5263 data_time: 0.0359 memory: 18108 grad_norm: 3.0656 loss: 4.5252 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6603 top1_acc_1: 0.6588 top5_acc_1: 0.7647 loss_cls_1: 1.8649 2023/02/01 10:35:09 - mmengine - INFO - Epoch(train) [95][1100/1879] lr: 8.2722e-02 eta: 1 day, 18:46:26 time: 0.5372 data_time: 0.0288 memory: 18108 grad_norm: 3.0324 loss: 4.3720 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5425 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.8295 2023/02/01 10:35:19 - mmengine - INFO - Epoch(train) [95][1120/1879] lr: 8.2716e-02 eta: 1 day, 18:46:17 time: 0.5311 data_time: 0.0452 memory: 18108 grad_norm: 3.0571 loss: 4.5894 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6648 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.9246 2023/02/01 10:35:30 - mmengine - INFO - Epoch(train) [95][1140/1879] lr: 8.2711e-02 eta: 1 day, 18:46:08 time: 0.5286 data_time: 0.0295 memory: 18108 grad_norm: 3.1912 loss: 4.3163 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5508 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.7655 2023/02/01 10:35:40 - mmengine - INFO - Epoch(train) [95][1160/1879] lr: 8.2705e-02 eta: 1 day, 18:45:58 time: 0.5202 data_time: 0.0379 memory: 18108 grad_norm: 3.1363 loss: 4.5118 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6970 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8148 2023/02/01 10:35:51 - mmengine - INFO - Epoch(train) [95][1180/1879] lr: 8.2699e-02 eta: 1 day, 18:45:48 time: 0.5201 data_time: 0.0365 memory: 18108 grad_norm: 3.1557 loss: 4.6272 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8136 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.8135 2023/02/01 10:36:01 - mmengine - INFO - Epoch(train) [95][1200/1879] lr: 8.2693e-02 eta: 1 day, 18:45:39 time: 0.5318 data_time: 0.0377 memory: 18108 grad_norm: 3.1757 loss: 4.6428 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7716 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.8712 2023/02/01 10:36:12 - mmengine - INFO - Epoch(train) [95][1220/1879] lr: 8.2688e-02 eta: 1 day, 18:45:29 time: 0.5175 data_time: 0.0281 memory: 18108 grad_norm: 3.1043 loss: 4.2296 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3781 top1_acc_1: 0.4471 top5_acc_1: 0.7765 loss_cls_1: 1.8515 2023/02/01 10:36:22 - mmengine - INFO - Epoch(train) [95][1240/1879] lr: 8.2682e-02 eta: 1 day, 18:45:20 time: 0.5335 data_time: 0.0379 memory: 18108 grad_norm: 3.0688 loss: 4.5314 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6174 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9140 2023/02/01 10:36:33 - mmengine - INFO - Epoch(train) [95][1260/1879] lr: 8.2676e-02 eta: 1 day, 18:45:10 time: 0.5276 data_time: 0.0286 memory: 18108 grad_norm: 3.1724 loss: 4.5204 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5797 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.9407 2023/02/01 10:36:44 - mmengine - INFO - Epoch(train) [95][1280/1879] lr: 8.2671e-02 eta: 1 day, 18:45:01 time: 0.5282 data_time: 0.0369 memory: 18108 grad_norm: 3.1523 loss: 4.4579 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6424 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.8155 2023/02/01 10:36:54 - mmengine - INFO - Epoch(train) [95][1300/1879] lr: 8.2665e-02 eta: 1 day, 18:44:51 time: 0.5327 data_time: 0.0296 memory: 18108 grad_norm: 3.2065 loss: 4.4186 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5573 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.8613 2023/02/01 10:37:05 - mmengine - INFO - Epoch(train) [95][1320/1879] lr: 8.2659e-02 eta: 1 day, 18:44:42 time: 0.5203 data_time: 0.0380 memory: 18108 grad_norm: 3.0915 loss: 4.3957 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5140 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.8816 2023/02/01 10:37:15 - mmengine - INFO - Epoch(train) [95][1340/1879] lr: 8.2654e-02 eta: 1 day, 18:44:32 time: 0.5266 data_time: 0.0297 memory: 18108 grad_norm: 3.1599 loss: 4.6228 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.6565 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.9663 2023/02/01 10:37:26 - mmengine - INFO - Epoch(train) [95][1360/1879] lr: 8.2648e-02 eta: 1 day, 18:44:22 time: 0.5221 data_time: 0.0419 memory: 18108 grad_norm: 3.1507 loss: 4.3144 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4593 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.8551 2023/02/01 10:37:33 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 10:37:36 - mmengine - INFO - Epoch(train) [95][1380/1879] lr: 8.2642e-02 eta: 1 day, 18:44:12 time: 0.5066 data_time: 0.0309 memory: 18108 grad_norm: 3.1619 loss: 4.3925 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5589 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8336 2023/02/01 10:37:46 - mmengine - INFO - Epoch(train) [95][1400/1879] lr: 8.2636e-02 eta: 1 day, 18:44:03 time: 0.5277 data_time: 0.0391 memory: 18108 grad_norm: 3.1078 loss: 4.2786 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.4503 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.8283 2023/02/01 10:37:57 - mmengine - INFO - Epoch(train) [95][1420/1879] lr: 8.2631e-02 eta: 1 day, 18:43:53 time: 0.5088 data_time: 0.0305 memory: 18108 grad_norm: 3.0872 loss: 4.5944 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6735 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.9209 2023/02/01 10:38:07 - mmengine - INFO - Epoch(train) [95][1440/1879] lr: 8.2625e-02 eta: 1 day, 18:43:43 time: 0.5287 data_time: 0.0450 memory: 18108 grad_norm: 3.0890 loss: 4.2913 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.4358 top1_acc_1: 0.4706 top5_acc_1: 0.7294 loss_cls_1: 1.8555 2023/02/01 10:38:18 - mmengine - INFO - Epoch(train) [95][1460/1879] lr: 8.2619e-02 eta: 1 day, 18:43:33 time: 0.5192 data_time: 0.0302 memory: 18108 grad_norm: 3.1692 loss: 4.7225 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.8749 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8476 2023/02/01 10:38:28 - mmengine - INFO - Epoch(train) [95][1480/1879] lr: 8.2614e-02 eta: 1 day, 18:43:24 time: 0.5283 data_time: 0.0370 memory: 18108 grad_norm: 3.1293 loss: 4.3954 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5406 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.8548 2023/02/01 10:38:39 - mmengine - INFO - Epoch(train) [95][1500/1879] lr: 8.2608e-02 eta: 1 day, 18:43:15 time: 0.5272 data_time: 0.0395 memory: 18108 grad_norm: 3.0826 loss: 4.6781 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.8448 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.8334 2023/02/01 10:38:49 - mmengine - INFO - Epoch(train) [95][1520/1879] lr: 8.2602e-02 eta: 1 day, 18:43:05 time: 0.5242 data_time: 0.0345 memory: 18108 grad_norm: 3.1077 loss: 4.4156 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6396 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.7761 2023/02/01 10:39:00 - mmengine - INFO - Epoch(train) [95][1540/1879] lr: 8.2596e-02 eta: 1 day, 18:42:55 time: 0.5201 data_time: 0.0309 memory: 18108 grad_norm: 3.1559 loss: 4.3001 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3908 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.9093 2023/02/01 10:39:10 - mmengine - INFO - Epoch(train) [95][1560/1879] lr: 8.2591e-02 eta: 1 day, 18:42:46 time: 0.5427 data_time: 0.0454 memory: 18108 grad_norm: 3.0988 loss: 4.3649 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4505 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9145 2023/02/01 10:39:21 - mmengine - INFO - Epoch(train) [95][1580/1879] lr: 8.2585e-02 eta: 1 day, 18:42:36 time: 0.5157 data_time: 0.0296 memory: 18108 grad_norm: 3.1486 loss: 4.4476 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.6063 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8413 2023/02/01 10:39:32 - mmengine - INFO - Epoch(train) [95][1600/1879] lr: 8.2579e-02 eta: 1 day, 18:42:27 time: 0.5375 data_time: 0.0390 memory: 18108 grad_norm: 3.0884 loss: 4.5330 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6434 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8896 2023/02/01 10:39:42 - mmengine - INFO - Epoch(train) [95][1620/1879] lr: 8.2574e-02 eta: 1 day, 18:42:17 time: 0.5149 data_time: 0.0352 memory: 18108 grad_norm: 3.0894 loss: 4.3953 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5586 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8367 2023/02/01 10:39:52 - mmengine - INFO - Epoch(train) [95][1640/1879] lr: 8.2568e-02 eta: 1 day, 18:42:08 time: 0.5202 data_time: 0.0357 memory: 18108 grad_norm: 3.0985 loss: 4.5919 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6795 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9124 2023/02/01 10:40:03 - mmengine - INFO - Epoch(train) [95][1660/1879] lr: 8.2562e-02 eta: 1 day, 18:41:58 time: 0.5138 data_time: 0.0290 memory: 18108 grad_norm: 3.0918 loss: 4.4593 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5586 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 1.9007 2023/02/01 10:40:13 - mmengine - INFO - Epoch(train) [95][1680/1879] lr: 8.2556e-02 eta: 1 day, 18:41:48 time: 0.5302 data_time: 0.0426 memory: 18108 grad_norm: 3.1222 loss: 4.3299 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.4898 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.8402 2023/02/01 10:40:23 - mmengine - INFO - Epoch(train) [95][1700/1879] lr: 8.2551e-02 eta: 1 day, 18:41:38 time: 0.5032 data_time: 0.0296 memory: 18108 grad_norm: 3.1070 loss: 4.6028 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7316 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8712 2023/02/01 10:40:34 - mmengine - INFO - Epoch(train) [95][1720/1879] lr: 8.2545e-02 eta: 1 day, 18:41:28 time: 0.5229 data_time: 0.0373 memory: 18108 grad_norm: 3.1044 loss: 4.3326 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4710 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8617 2023/02/01 10:40:45 - mmengine - INFO - Epoch(train) [95][1740/1879] lr: 8.2539e-02 eta: 1 day, 18:41:20 time: 0.5548 data_time: 0.0323 memory: 18108 grad_norm: 3.1612 loss: 4.4921 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.5953 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.8968 2023/02/01 10:40:55 - mmengine - INFO - Epoch(train) [95][1760/1879] lr: 8.2534e-02 eta: 1 day, 18:41:10 time: 0.5180 data_time: 0.0379 memory: 18108 grad_norm: 3.1614 loss: 4.1915 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4056 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.7859 2023/02/01 10:41:06 - mmengine - INFO - Epoch(train) [95][1780/1879] lr: 8.2528e-02 eta: 1 day, 18:41:00 time: 0.5151 data_time: 0.0316 memory: 18108 grad_norm: 3.0612 loss: 4.3631 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4440 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9191 2023/02/01 10:41:16 - mmengine - INFO - Epoch(train) [95][1800/1879] lr: 8.2522e-02 eta: 1 day, 18:40:51 time: 0.5380 data_time: 0.0380 memory: 18108 grad_norm: 3.1267 loss: 4.4375 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6897 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.7478 2023/02/01 10:41:27 - mmengine - INFO - Epoch(train) [95][1820/1879] lr: 8.2516e-02 eta: 1 day, 18:40:41 time: 0.5125 data_time: 0.0373 memory: 18108 grad_norm: 3.1553 loss: 4.3520 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5579 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.7942 2023/02/01 10:41:37 - mmengine - INFO - Epoch(train) [95][1840/1879] lr: 8.2511e-02 eta: 1 day, 18:40:31 time: 0.5119 data_time: 0.0415 memory: 18108 grad_norm: 3.1793 loss: 4.4398 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7133 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7265 2023/02/01 10:41:47 - mmengine - INFO - Epoch(train) [95][1860/1879] lr: 8.2505e-02 eta: 1 day, 18:40:21 time: 0.5154 data_time: 0.0281 memory: 18108 grad_norm: 3.1539 loss: 4.5536 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5945 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9591 2023/02/01 10:41:57 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 10:41:57 - mmengine - INFO - Epoch(train) [95][1879/1879] lr: 8.2500e-02 eta: 1 day, 18:40:11 time: 0.4992 data_time: 0.0335 memory: 18108 grad_norm: 3.1187 loss: 4.2581 top1_acc_0: 0.4286 top5_acc_0: 0.5714 loss_cls_0: 2.4569 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8012 2023/02/01 10:42:12 - mmengine - INFO - Epoch(train) [96][ 20/1879] lr: 8.2494e-02 eta: 1 day, 18:40:08 time: 0.7217 data_time: 0.2514 memory: 18108 grad_norm: 3.0516 loss: 4.0518 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.2533 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.7984 2023/02/01 10:42:21 - mmengine - INFO - Epoch(train) [96][ 40/1879] lr: 8.2488e-02 eta: 1 day, 18:39:57 time: 0.4841 data_time: 0.0391 memory: 18108 grad_norm: 3.1045 loss: 4.3871 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.5142 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8729 2023/02/01 10:42:31 - mmengine - INFO - Epoch(train) [96][ 60/1879] lr: 8.2482e-02 eta: 1 day, 18:39:46 time: 0.4805 data_time: 0.0318 memory: 18108 grad_norm: 3.0796 loss: 4.3541 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.5705 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7836 2023/02/01 10:42:41 - mmengine - INFO - Epoch(train) [96][ 80/1879] lr: 8.2477e-02 eta: 1 day, 18:39:36 time: 0.5145 data_time: 0.0452 memory: 18108 grad_norm: 3.0876 loss: 4.2084 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4526 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.7558 2023/02/01 10:42:51 - mmengine - INFO - Epoch(train) [96][ 100/1879] lr: 8.2471e-02 eta: 1 day, 18:39:25 time: 0.4896 data_time: 0.0304 memory: 18108 grad_norm: 3.0915 loss: 4.2562 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4810 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.7752 2023/02/01 10:43:01 - mmengine - INFO - Epoch(train) [96][ 120/1879] lr: 8.2465e-02 eta: 1 day, 18:39:15 time: 0.4918 data_time: 0.0377 memory: 18108 grad_norm: 3.1181 loss: 3.9846 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1741 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.8105 2023/02/01 10:43:11 - mmengine - INFO - Epoch(train) [96][ 140/1879] lr: 8.2460e-02 eta: 1 day, 18:39:05 time: 0.5195 data_time: 0.0365 memory: 18108 grad_norm: 3.1156 loss: 4.2442 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4726 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.7716 2023/02/01 10:43:21 - mmengine - INFO - Epoch(train) [96][ 160/1879] lr: 8.2454e-02 eta: 1 day, 18:38:55 time: 0.5030 data_time: 0.0344 memory: 18108 grad_norm: 3.0931 loss: 4.2729 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 2.4802 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7928 2023/02/01 10:43:31 - mmengine - INFO - Epoch(train) [96][ 180/1879] lr: 8.2448e-02 eta: 1 day, 18:38:44 time: 0.4835 data_time: 0.0307 memory: 18108 grad_norm: 3.1161 loss: 4.0221 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2809 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.7412 2023/02/01 10:43:41 - mmengine - INFO - Epoch(train) [96][ 200/1879] lr: 8.2442e-02 eta: 1 day, 18:38:34 time: 0.5064 data_time: 0.0423 memory: 18108 grad_norm: 3.0747 loss: 4.2400 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 2.3728 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8672 2023/02/01 10:43:51 - mmengine - INFO - Epoch(train) [96][ 220/1879] lr: 8.2437e-02 eta: 1 day, 18:38:23 time: 0.4951 data_time: 0.0280 memory: 18108 grad_norm: 3.1989 loss: 4.2229 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3877 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8353 2023/02/01 10:44:01 - mmengine - INFO - Epoch(train) [96][ 240/1879] lr: 8.2431e-02 eta: 1 day, 18:38:12 time: 0.4901 data_time: 0.0372 memory: 18108 grad_norm: 3.1591 loss: 4.1848 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4120 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.7729 2023/02/01 10:44:11 - mmengine - INFO - Epoch(train) [96][ 260/1879] lr: 8.2425e-02 eta: 1 day, 18:38:01 time: 0.4885 data_time: 0.0303 memory: 18108 grad_norm: 3.1351 loss: 4.7104 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.8760 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.8344 2023/02/01 10:44:21 - mmengine - INFO - Epoch(train) [96][ 280/1879] lr: 8.2419e-02 eta: 1 day, 18:37:51 time: 0.5001 data_time: 0.0371 memory: 18108 grad_norm: 3.1150 loss: 4.2234 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4169 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8064 2023/02/01 10:44:31 - mmengine - INFO - Epoch(train) [96][ 300/1879] lr: 8.2414e-02 eta: 1 day, 18:37:41 time: 0.5061 data_time: 0.0295 memory: 18108 grad_norm: 3.1122 loss: 4.3534 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5268 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.8266 2023/02/01 10:44:41 - mmengine - INFO - Epoch(train) [96][ 320/1879] lr: 8.2408e-02 eta: 1 day, 18:37:30 time: 0.4993 data_time: 0.0376 memory: 18108 grad_norm: 3.1554 loss: 4.1747 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3111 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 1.8636 2023/02/01 10:44:51 - mmengine - INFO - Epoch(train) [96][ 340/1879] lr: 8.2402e-02 eta: 1 day, 18:37:20 time: 0.5094 data_time: 0.0357 memory: 18108 grad_norm: 3.1065 loss: 4.6064 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.8561 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.7503 2023/02/01 10:45:01 - mmengine - INFO - Epoch(train) [96][ 360/1879] lr: 8.2396e-02 eta: 1 day, 18:37:10 time: 0.5072 data_time: 0.0351 memory: 18108 grad_norm: 3.1121 loss: 4.1323 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3909 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7414 2023/02/01 10:45:11 - mmengine - INFO - Epoch(train) [96][ 380/1879] lr: 8.2391e-02 eta: 1 day, 18:37:00 time: 0.5049 data_time: 0.0310 memory: 18108 grad_norm: 3.1599 loss: 4.3825 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5921 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7904 2023/02/01 10:45:22 - mmengine - INFO - Epoch(train) [96][ 400/1879] lr: 8.2385e-02 eta: 1 day, 18:36:50 time: 0.5062 data_time: 0.0411 memory: 18108 grad_norm: 3.1181 loss: 4.3425 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.4884 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8540 2023/02/01 10:45:31 - mmengine - INFO - Epoch(train) [96][ 420/1879] lr: 8.2379e-02 eta: 1 day, 18:36:39 time: 0.4903 data_time: 0.0286 memory: 18108 grad_norm: 3.1577 loss: 4.2301 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4202 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8099 2023/02/01 10:45:41 - mmengine - INFO - Epoch(train) [96][ 440/1879] lr: 8.2373e-02 eta: 1 day, 18:36:28 time: 0.4993 data_time: 0.0376 memory: 18108 grad_norm: 3.1927 loss: 4.2658 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4091 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.8566 2023/02/01 10:45:52 - mmengine - INFO - Epoch(train) [96][ 460/1879] lr: 8.2368e-02 eta: 1 day, 18:36:18 time: 0.5161 data_time: 0.0291 memory: 18108 grad_norm: 3.0736 loss: 4.2512 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4196 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.8316 2023/02/01 10:46:02 - mmengine - INFO - Epoch(train) [96][ 480/1879] lr: 8.2362e-02 eta: 1 day, 18:36:08 time: 0.5013 data_time: 0.0374 memory: 18108 grad_norm: 3.1710 loss: 4.5399 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6771 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8628 2023/02/01 10:46:09 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 10:46:12 - mmengine - INFO - Epoch(train) [96][ 500/1879] lr: 8.2356e-02 eta: 1 day, 18:35:58 time: 0.5036 data_time: 0.0301 memory: 18108 grad_norm: 3.2672 loss: 4.7053 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.8211 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.8842 2023/02/01 10:46:22 - mmengine - INFO - Epoch(train) [96][ 520/1879] lr: 8.2351e-02 eta: 1 day, 18:35:48 time: 0.5130 data_time: 0.0387 memory: 18108 grad_norm: 3.1017 loss: 4.5960 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.7405 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8555 2023/02/01 10:46:32 - mmengine - INFO - Epoch(train) [96][ 540/1879] lr: 8.2345e-02 eta: 1 day, 18:35:38 time: 0.5126 data_time: 0.0308 memory: 18108 grad_norm: 3.0952 loss: 4.1472 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.4576 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.6896 2023/02/01 10:46:43 - mmengine - INFO - Epoch(train) [96][ 560/1879] lr: 8.2339e-02 eta: 1 day, 18:35:28 time: 0.5117 data_time: 0.0363 memory: 18108 grad_norm: 3.1182 loss: 4.2444 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3812 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.8632 2023/02/01 10:46:53 - mmengine - INFO - Epoch(train) [96][ 580/1879] lr: 8.2333e-02 eta: 1 day, 18:35:18 time: 0.5203 data_time: 0.0366 memory: 18108 grad_norm: 3.1212 loss: 4.6053 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7390 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.8664 2023/02/01 10:47:03 - mmengine - INFO - Epoch(train) [96][ 600/1879] lr: 8.2328e-02 eta: 1 day, 18:35:08 time: 0.5092 data_time: 0.0378 memory: 18108 grad_norm: 3.1542 loss: 4.2588 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.4916 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7672 2023/02/01 10:47:13 - mmengine - INFO - Epoch(train) [96][ 620/1879] lr: 8.2322e-02 eta: 1 day, 18:34:58 time: 0.5055 data_time: 0.0296 memory: 18108 grad_norm: 3.0587 loss: 4.3672 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.4899 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.8773 2023/02/01 10:47:23 - mmengine - INFO - Epoch(train) [96][ 640/1879] lr: 8.2316e-02 eta: 1 day, 18:34:47 time: 0.4997 data_time: 0.0376 memory: 18108 grad_norm: 3.1735 loss: 4.2698 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4458 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8241 2023/02/01 10:47:34 - mmengine - INFO - Epoch(train) [96][ 660/1879] lr: 8.2310e-02 eta: 1 day, 18:34:38 time: 0.5325 data_time: 0.0361 memory: 18108 grad_norm: 3.1639 loss: 4.2891 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5087 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.7804 2023/02/01 10:47:44 - mmengine - INFO - Epoch(train) [96][ 680/1879] lr: 8.2305e-02 eta: 1 day, 18:34:28 time: 0.4988 data_time: 0.0385 memory: 18108 grad_norm: 3.1830 loss: 4.1798 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3387 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.8410 2023/02/01 10:47:54 - mmengine - INFO - Epoch(train) [96][ 700/1879] lr: 8.2299e-02 eta: 1 day, 18:34:17 time: 0.5072 data_time: 0.0307 memory: 18108 grad_norm: 3.1487 loss: 4.4890 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5858 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9032 2023/02/01 10:48:04 - mmengine - INFO - Epoch(train) [96][ 720/1879] lr: 8.2293e-02 eta: 1 day, 18:34:07 time: 0.5142 data_time: 0.0429 memory: 18108 grad_norm: 3.1528 loss: 4.4328 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.6335 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.7994 2023/02/01 10:48:15 - mmengine - INFO - Epoch(train) [96][ 740/1879] lr: 8.2287e-02 eta: 1 day, 18:33:58 time: 0.5200 data_time: 0.0281 memory: 18108 grad_norm: 3.1248 loss: 4.4429 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6131 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8298 2023/02/01 10:48:25 - mmengine - INFO - Epoch(train) [96][ 760/1879] lr: 8.2282e-02 eta: 1 day, 18:33:47 time: 0.5052 data_time: 0.0362 memory: 18108 grad_norm: 3.1645 loss: 4.3923 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5684 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.8239 2023/02/01 10:48:35 - mmengine - INFO - Epoch(train) [96][ 780/1879] lr: 8.2276e-02 eta: 1 day, 18:33:38 time: 0.5153 data_time: 0.0293 memory: 18108 grad_norm: 3.1383 loss: 4.4402 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5434 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.8968 2023/02/01 10:48:46 - mmengine - INFO - Epoch(train) [96][ 800/1879] lr: 8.2270e-02 eta: 1 day, 18:33:28 time: 0.5319 data_time: 0.0348 memory: 18108 grad_norm: 3.1576 loss: 4.1061 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3280 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7782 2023/02/01 10:48:56 - mmengine - INFO - Epoch(train) [96][ 820/1879] lr: 8.2264e-02 eta: 1 day, 18:33:18 time: 0.5045 data_time: 0.0299 memory: 18108 grad_norm: 3.1826 loss: 4.4933 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.6168 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 1.8765 2023/02/01 10:49:06 - mmengine - INFO - Epoch(train) [96][ 840/1879] lr: 8.2259e-02 eta: 1 day, 18:33:08 time: 0.5145 data_time: 0.0457 memory: 18108 grad_norm: 3.1304 loss: 4.3730 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5852 top1_acc_1: 0.5882 top5_acc_1: 0.7294 loss_cls_1: 1.7878 2023/02/01 10:49:17 - mmengine - INFO - Epoch(train) [96][ 860/1879] lr: 8.2253e-02 eta: 1 day, 18:32:59 time: 0.5298 data_time: 0.0281 memory: 18108 grad_norm: 3.1352 loss: 4.4276 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5206 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.9070 2023/02/01 10:49:27 - mmengine - INFO - Epoch(train) [96][ 880/1879] lr: 8.2247e-02 eta: 1 day, 18:32:49 time: 0.5142 data_time: 0.0364 memory: 18108 grad_norm: 3.1171 loss: 4.5163 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6462 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.8701 2023/02/01 10:49:37 - mmengine - INFO - Epoch(train) [96][ 900/1879] lr: 8.2241e-02 eta: 1 day, 18:32:38 time: 0.4993 data_time: 0.0292 memory: 18108 grad_norm: 3.1973 loss: 4.5050 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6242 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8808 2023/02/01 10:49:48 - mmengine - INFO - Epoch(train) [96][ 920/1879] lr: 8.2236e-02 eta: 1 day, 18:32:29 time: 0.5223 data_time: 0.0419 memory: 18108 grad_norm: 3.1062 loss: 4.4866 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5867 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8999 2023/02/01 10:49:58 - mmengine - INFO - Epoch(train) [96][ 940/1879] lr: 8.2230e-02 eta: 1 day, 18:32:19 time: 0.5125 data_time: 0.0284 memory: 18108 grad_norm: 3.1467 loss: 4.5689 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7616 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.8073 2023/02/01 10:50:08 - mmengine - INFO - Epoch(train) [96][ 960/1879] lr: 8.2224e-02 eta: 1 day, 18:32:08 time: 0.5030 data_time: 0.0367 memory: 18108 grad_norm: 3.1523 loss: 4.4632 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5875 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.8758 2023/02/01 10:50:18 - mmengine - INFO - Epoch(train) [96][ 980/1879] lr: 8.2218e-02 eta: 1 day, 18:31:58 time: 0.5082 data_time: 0.0370 memory: 18108 grad_norm: 3.1092 loss: 4.2392 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4390 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.8002 2023/02/01 10:50:28 - mmengine - INFO - Epoch(train) [96][1000/1879] lr: 8.2212e-02 eta: 1 day, 18:31:48 time: 0.5116 data_time: 0.0366 memory: 18108 grad_norm: 3.1615 loss: 4.3647 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.5070 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.8577 2023/02/01 10:50:38 - mmengine - INFO - Epoch(train) [96][1020/1879] lr: 8.2207e-02 eta: 1 day, 18:31:37 time: 0.4961 data_time: 0.0283 memory: 18108 grad_norm: 3.1080 loss: 4.3831 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5592 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.8239 2023/02/01 10:50:49 - mmengine - INFO - Epoch(train) [96][1040/1879] lr: 8.2201e-02 eta: 1 day, 18:31:27 time: 0.5091 data_time: 0.0426 memory: 18108 grad_norm: 3.1228 loss: 4.4509 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6650 top1_acc_1: 0.5059 top5_acc_1: 0.8235 loss_cls_1: 1.7859 2023/02/01 10:50:59 - mmengine - INFO - Epoch(train) [96][1060/1879] lr: 8.2195e-02 eta: 1 day, 18:31:17 time: 0.4986 data_time: 0.0296 memory: 18108 grad_norm: 3.1140 loss: 4.2495 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4844 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.7651 2023/02/01 10:51:09 - mmengine - INFO - Epoch(train) [96][1080/1879] lr: 8.2189e-02 eta: 1 day, 18:31:07 time: 0.5098 data_time: 0.0366 memory: 18108 grad_norm: 3.1387 loss: 4.3526 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4561 top1_acc_1: 0.5059 top5_acc_1: 0.8235 loss_cls_1: 1.8965 2023/02/01 10:51:19 - mmengine - INFO - Epoch(train) [96][1100/1879] lr: 8.2184e-02 eta: 1 day, 18:30:57 time: 0.5167 data_time: 0.0344 memory: 18108 grad_norm: 3.1299 loss: 4.2003 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4594 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.7409 2023/02/01 10:51:29 - mmengine - INFO - Epoch(train) [96][1120/1879] lr: 8.2178e-02 eta: 1 day, 18:30:47 time: 0.4995 data_time: 0.0371 memory: 18108 grad_norm: 3.1275 loss: 4.6578 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7757 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.8821 2023/02/01 10:51:39 - mmengine - INFO - Epoch(train) [96][1140/1879] lr: 8.2172e-02 eta: 1 day, 18:30:36 time: 0.5099 data_time: 0.0289 memory: 18108 grad_norm: 3.1477 loss: 4.3863 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6280 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.7583 2023/02/01 10:51:50 - mmengine - INFO - Epoch(train) [96][1160/1879] lr: 8.2166e-02 eta: 1 day, 18:30:26 time: 0.5124 data_time: 0.0455 memory: 18108 grad_norm: 3.0933 loss: 4.2355 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5440 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.6915 2023/02/01 10:52:00 - mmengine - INFO - Epoch(train) [96][1180/1879] lr: 8.2161e-02 eta: 1 day, 18:30:16 time: 0.5080 data_time: 0.0283 memory: 18108 grad_norm: 3.1831 loss: 4.3883 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6069 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.7814 2023/02/01 10:52:10 - mmengine - INFO - Epoch(train) [96][1200/1879] lr: 8.2155e-02 eta: 1 day, 18:30:06 time: 0.5027 data_time: 0.0390 memory: 18108 grad_norm: 3.0342 loss: 4.1625 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2429 top1_acc_1: 0.4941 top5_acc_1: 0.8118 loss_cls_1: 1.9196 2023/02/01 10:52:20 - mmengine - INFO - Epoch(train) [96][1220/1879] lr: 8.2149e-02 eta: 1 day, 18:29:56 time: 0.5156 data_time: 0.0297 memory: 18108 grad_norm: 3.2363 loss: 4.5752 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6278 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.9474 2023/02/01 10:52:31 - mmengine - INFO - Epoch(train) [96][1240/1879] lr: 8.2143e-02 eta: 1 day, 18:29:46 time: 0.5167 data_time: 0.0407 memory: 18108 grad_norm: 3.1409 loss: 4.6053 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6934 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.9120 2023/02/01 10:52:40 - mmengine - INFO - Epoch(train) [96][1260/1879] lr: 8.2138e-02 eta: 1 day, 18:29:36 time: 0.4955 data_time: 0.0284 memory: 18108 grad_norm: 3.1077 loss: 4.2173 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4529 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 1.7644 2023/02/01 10:52:51 - mmengine - INFO - Epoch(train) [96][1280/1879] lr: 8.2132e-02 eta: 1 day, 18:29:26 time: 0.5124 data_time: 0.0365 memory: 18108 grad_norm: 3.1529 loss: 4.4711 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6041 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.8671 2023/02/01 10:53:01 - mmengine - INFO - Epoch(train) [96][1300/1879] lr: 8.2126e-02 eta: 1 day, 18:29:16 time: 0.5222 data_time: 0.0359 memory: 18108 grad_norm: 3.1612 loss: 4.3155 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4674 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.8481 2023/02/01 10:53:11 - mmengine - INFO - Epoch(train) [96][1320/1879] lr: 8.2120e-02 eta: 1 day, 18:29:06 time: 0.5074 data_time: 0.0361 memory: 18108 grad_norm: 3.2056 loss: 4.6945 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.7231 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.9713 2023/02/01 10:53:22 - mmengine - INFO - Epoch(train) [96][1340/1879] lr: 8.2114e-02 eta: 1 day, 18:28:56 time: 0.5162 data_time: 0.0307 memory: 18108 grad_norm: 3.1963 loss: 4.5938 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6775 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.9163 2023/02/01 10:53:32 - mmengine - INFO - Epoch(train) [96][1360/1879] lr: 8.2109e-02 eta: 1 day, 18:28:46 time: 0.5205 data_time: 0.0435 memory: 18108 grad_norm: 3.0758 loss: 4.3982 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6160 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.7822 2023/02/01 10:53:42 - mmengine - INFO - Epoch(train) [96][1380/1879] lr: 8.2103e-02 eta: 1 day, 18:28:36 time: 0.5159 data_time: 0.0289 memory: 18108 grad_norm: 3.1196 loss: 4.3391 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5305 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.8086 2023/02/01 10:53:53 - mmengine - INFO - Epoch(train) [96][1400/1879] lr: 8.2097e-02 eta: 1 day, 18:28:26 time: 0.5094 data_time: 0.0368 memory: 18108 grad_norm: 3.1183 loss: 4.4607 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5914 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.8693 2023/02/01 10:54:03 - mmengine - INFO - Epoch(train) [96][1420/1879] lr: 8.2091e-02 eta: 1 day, 18:28:17 time: 0.5224 data_time: 0.0353 memory: 18108 grad_norm: 3.1241 loss: 4.4086 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6068 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.8018 2023/02/01 10:54:14 - mmengine - INFO - Epoch(train) [96][1440/1879] lr: 8.2086e-02 eta: 1 day, 18:28:07 time: 0.5292 data_time: 0.0348 memory: 18108 grad_norm: 3.2043 loss: 4.3994 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5932 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.8062 2023/02/01 10:54:24 - mmengine - INFO - Epoch(train) [96][1460/1879] lr: 8.2080e-02 eta: 1 day, 18:27:57 time: 0.5192 data_time: 0.0302 memory: 18108 grad_norm: 3.0969 loss: 4.3415 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4649 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8766 2023/02/01 10:54:35 - mmengine - INFO - Epoch(train) [96][1480/1879] lr: 8.2074e-02 eta: 1 day, 18:27:48 time: 0.5258 data_time: 0.0439 memory: 18108 grad_norm: 3.1383 loss: 4.4808 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6727 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8082 2023/02/01 10:54:42 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 10:54:45 - mmengine - INFO - Epoch(train) [96][1500/1879] lr: 8.2068e-02 eta: 1 day, 18:27:38 time: 0.5135 data_time: 0.0299 memory: 18108 grad_norm: 3.1945 loss: 4.7503 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.8530 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8973 2023/02/01 10:54:55 - mmengine - INFO - Epoch(train) [96][1520/1879] lr: 8.2062e-02 eta: 1 day, 18:27:28 time: 0.5238 data_time: 0.0379 memory: 18108 grad_norm: 3.0565 loss: 4.2871 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4396 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.8475 2023/02/01 10:55:06 - mmengine - INFO - Epoch(train) [96][1540/1879] lr: 8.2057e-02 eta: 1 day, 18:27:18 time: 0.5086 data_time: 0.0323 memory: 18108 grad_norm: 3.1301 loss: 4.4790 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6088 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8702 2023/02/01 10:55:16 - mmengine - INFO - Epoch(train) [96][1560/1879] lr: 8.2051e-02 eta: 1 day, 18:27:08 time: 0.5142 data_time: 0.0388 memory: 18108 grad_norm: 3.0823 loss: 4.5067 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6524 top1_acc_1: 0.4824 top5_acc_1: 0.6588 loss_cls_1: 1.8542 2023/02/01 10:55:26 - mmengine - INFO - Epoch(train) [96][1580/1879] lr: 8.2045e-02 eta: 1 day, 18:26:58 time: 0.5085 data_time: 0.0339 memory: 18108 grad_norm: 3.1046 loss: 4.4774 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6758 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8016 2023/02/01 10:55:36 - mmengine - INFO - Epoch(train) [96][1600/1879] lr: 8.2039e-02 eta: 1 day, 18:26:48 time: 0.5143 data_time: 0.0303 memory: 18108 grad_norm: 3.1193 loss: 4.3759 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5009 top1_acc_1: 0.4471 top5_acc_1: 0.7647 loss_cls_1: 1.8750 2023/02/01 10:55:46 - mmengine - INFO - Epoch(train) [96][1620/1879] lr: 8.2034e-02 eta: 1 day, 18:26:38 time: 0.5068 data_time: 0.0355 memory: 18108 grad_norm: 3.0884 loss: 4.2149 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.3932 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8217 2023/02/01 10:55:57 - mmengine - INFO - Epoch(train) [96][1640/1879] lr: 8.2028e-02 eta: 1 day, 18:26:28 time: 0.5123 data_time: 0.0333 memory: 18108 grad_norm: 3.1244 loss: 4.1919 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4469 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.7450 2023/02/01 10:56:07 - mmengine - INFO - Epoch(train) [96][1660/1879] lr: 8.2022e-02 eta: 1 day, 18:26:18 time: 0.5129 data_time: 0.0372 memory: 18108 grad_norm: 3.1474 loss: 4.4572 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6836 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.7736 2023/02/01 10:56:17 - mmengine - INFO - Epoch(train) [96][1680/1879] lr: 8.2016e-02 eta: 1 day, 18:26:08 time: 0.5177 data_time: 0.0303 memory: 18108 grad_norm: 3.1248 loss: 4.5376 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7359 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8017 2023/02/01 10:56:28 - mmengine - INFO - Epoch(train) [96][1700/1879] lr: 8.2010e-02 eta: 1 day, 18:25:58 time: 0.5197 data_time: 0.0429 memory: 18108 grad_norm: 3.1392 loss: 4.4158 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.5889 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8269 2023/02/01 10:56:38 - mmengine - INFO - Epoch(train) [96][1720/1879] lr: 8.2005e-02 eta: 1 day, 18:25:48 time: 0.5099 data_time: 0.0327 memory: 18108 grad_norm: 3.1908 loss: 4.5485 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6062 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.9423 2023/02/01 10:56:48 - mmengine - INFO - Epoch(train) [96][1740/1879] lr: 8.1999e-02 eta: 1 day, 18:25:38 time: 0.5148 data_time: 0.0356 memory: 18108 grad_norm: 3.0893 loss: 4.6621 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7584 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.9038 2023/02/01 10:56:59 - mmengine - INFO - Epoch(train) [96][1760/1879] lr: 8.1993e-02 eta: 1 day, 18:25:29 time: 0.5239 data_time: 0.0456 memory: 18108 grad_norm: 3.0616 loss: 4.4523 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6090 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.8434 2023/02/01 10:57:09 - mmengine - INFO - Epoch(train) [96][1780/1879] lr: 8.1987e-02 eta: 1 day, 18:25:19 time: 0.5119 data_time: 0.0366 memory: 18108 grad_norm: 3.1080 loss: 4.3723 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5041 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.8682 2023/02/01 10:57:19 - mmengine - INFO - Epoch(train) [96][1800/1879] lr: 8.1982e-02 eta: 1 day, 18:25:09 time: 0.5130 data_time: 0.0312 memory: 18108 grad_norm: 3.1211 loss: 4.5918 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7384 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.8534 2023/02/01 10:57:30 - mmengine - INFO - Epoch(train) [96][1820/1879] lr: 8.1976e-02 eta: 1 day, 18:24:59 time: 0.5183 data_time: 0.0354 memory: 18108 grad_norm: 3.1785 loss: 4.4084 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5448 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.8636 2023/02/01 10:57:40 - mmengine - INFO - Epoch(train) [96][1840/1879] lr: 8.1970e-02 eta: 1 day, 18:24:49 time: 0.5163 data_time: 0.0308 memory: 18108 grad_norm: 3.1922 loss: 4.3298 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5220 top1_acc_1: 0.4588 top5_acc_1: 0.8588 loss_cls_1: 1.8078 2023/02/01 10:57:50 - mmengine - INFO - Epoch(train) [96][1860/1879] lr: 8.1964e-02 eta: 1 day, 18:24:39 time: 0.5152 data_time: 0.0363 memory: 18108 grad_norm: 3.0833 loss: 4.3340 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4247 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.9093 2023/02/01 10:57:59 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 10:57:59 - mmengine - INFO - Epoch(train) [96][1879/1879] lr: 8.1959e-02 eta: 1 day, 18:24:28 time: 0.4755 data_time: 0.0309 memory: 18108 grad_norm: 3.2762 loss: 4.4144 top1_acc_0: 0.1429 top5_acc_0: 0.5714 loss_cls_0: 2.5480 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.8664 2023/02/01 10:58:00 - mmengine - INFO - Saving checkpoint at 96 epochs 2023/02/01 10:58:10 - mmengine - INFO - Epoch(val) [96][ 20/155] eta: 0:01:01 time: 0.4549 data_time: 0.3423 memory: 1906 2023/02/01 10:58:19 - mmengine - INFO - Epoch(val) [96][ 40/155] eta: 0:00:51 time: 0.4457 data_time: 0.3346 memory: 1906 2023/02/01 10:58:28 - mmengine - INFO - Epoch(val) [96][ 60/155] eta: 0:00:41 time: 0.4244 data_time: 0.3132 memory: 1906 2023/02/01 10:58:37 - mmengine - INFO - Epoch(val) [96][ 80/155] eta: 0:00:33 time: 0.4619 data_time: 0.3514 memory: 1906 2023/02/01 10:58:46 - mmengine - INFO - Epoch(val) [96][100/155] eta: 0:00:24 time: 0.4471 data_time: 0.3364 memory: 1906 2023/02/01 10:58:55 - mmengine - INFO - Epoch(val) [96][120/155] eta: 0:00:15 time: 0.4464 data_time: 0.3363 memory: 1906 2023/02/01 10:59:04 - mmengine - INFO - Epoch(val) [96][140/155] eta: 0:00:06 time: 0.4400 data_time: 0.3296 memory: 1906 2023/02/01 10:59:12 - mmengine - INFO - Epoch(val) [96][155/155] acc/top1: 0.4377 acc/top5: 0.6954 acc/mean1: 0.4377 2023/02/01 10:59:26 - mmengine - INFO - Epoch(train) [97][ 20/1879] lr: 8.1953e-02 eta: 1 day, 18:24:25 time: 0.7146 data_time: 0.2634 memory: 18108 grad_norm: 3.0499 loss: 4.3155 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5034 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.8121 2023/02/01 10:59:35 - mmengine - INFO - Epoch(train) [97][ 40/1879] lr: 8.1947e-02 eta: 1 day, 18:24:14 time: 0.4724 data_time: 0.0354 memory: 18108 grad_norm: 3.0977 loss: 4.1358 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.3876 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.7483 2023/02/01 10:59:45 - mmengine - INFO - Epoch(train) [97][ 60/1879] lr: 8.1941e-02 eta: 1 day, 18:24:03 time: 0.4766 data_time: 0.0363 memory: 18108 grad_norm: 3.1214 loss: 4.3522 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5887 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.7636 2023/02/01 10:59:55 - mmengine - INFO - Epoch(train) [97][ 80/1879] lr: 8.1935e-02 eta: 1 day, 18:23:53 time: 0.5209 data_time: 0.0409 memory: 18108 grad_norm: 3.1021 loss: 4.3074 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 2.4636 top1_acc_1: 0.4471 top5_acc_1: 0.7059 loss_cls_1: 1.8438 2023/02/01 11:00:05 - mmengine - INFO - Epoch(train) [97][ 100/1879] lr: 8.1930e-02 eta: 1 day, 18:23:42 time: 0.4967 data_time: 0.0380 memory: 18108 grad_norm: 3.1713 loss: 4.2498 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5732 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.6767 2023/02/01 11:00:15 - mmengine - INFO - Epoch(train) [97][ 120/1879] lr: 8.1924e-02 eta: 1 day, 18:23:31 time: 0.4854 data_time: 0.0334 memory: 18108 grad_norm: 3.1555 loss: 4.1432 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4289 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.7143 2023/02/01 11:00:25 - mmengine - INFO - Epoch(train) [97][ 140/1879] lr: 8.1918e-02 eta: 1 day, 18:23:21 time: 0.4960 data_time: 0.0355 memory: 18108 grad_norm: 3.1544 loss: 4.1713 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4925 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.6788 2023/02/01 11:00:35 - mmengine - INFO - Epoch(train) [97][ 160/1879] lr: 8.1912e-02 eta: 1 day, 18:23:11 time: 0.5128 data_time: 0.0397 memory: 18108 grad_norm: 3.0671 loss: 4.3965 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6627 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.7338 2023/02/01 11:00:45 - mmengine - INFO - Epoch(train) [97][ 180/1879] lr: 8.1906e-02 eta: 1 day, 18:23:00 time: 0.4965 data_time: 0.0372 memory: 18108 grad_norm: 3.1907 loss: 4.1147 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.3541 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.7606 2023/02/01 11:00:55 - mmengine - INFO - Epoch(train) [97][ 200/1879] lr: 8.1901e-02 eta: 1 day, 18:22:50 time: 0.4990 data_time: 0.0319 memory: 18108 grad_norm: 3.0702 loss: 4.4121 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6494 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7627 2023/02/01 11:01:05 - mmengine - INFO - Epoch(train) [97][ 220/1879] lr: 8.1895e-02 eta: 1 day, 18:22:40 time: 0.5108 data_time: 0.0364 memory: 18108 grad_norm: 3.1175 loss: 4.1383 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4524 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.6860 2023/02/01 11:01:15 - mmengine - INFO - Epoch(train) [97][ 240/1879] lr: 8.1889e-02 eta: 1 day, 18:22:30 time: 0.5029 data_time: 0.0332 memory: 18108 grad_norm: 3.1410 loss: 4.3381 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5559 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7822 2023/02/01 11:01:26 - mmengine - INFO - Epoch(train) [97][ 260/1879] lr: 8.1883e-02 eta: 1 day, 18:22:20 time: 0.5123 data_time: 0.0356 memory: 18108 grad_norm: 3.1632 loss: 4.3610 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5341 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.8269 2023/02/01 11:01:36 - mmengine - INFO - Epoch(train) [97][ 280/1879] lr: 8.1877e-02 eta: 1 day, 18:22:09 time: 0.4973 data_time: 0.0334 memory: 18108 grad_norm: 3.1291 loss: 4.2034 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.4664 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.7370 2023/02/01 11:01:46 - mmengine - INFO - Epoch(train) [97][ 300/1879] lr: 8.1872e-02 eta: 1 day, 18:21:59 time: 0.5128 data_time: 0.0447 memory: 18108 grad_norm: 3.1178 loss: 4.2076 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4361 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7715 2023/02/01 11:01:56 - mmengine - INFO - Epoch(train) [97][ 320/1879] lr: 8.1866e-02 eta: 1 day, 18:21:49 time: 0.4982 data_time: 0.0321 memory: 18108 grad_norm: 3.1064 loss: 4.3426 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5353 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.8074 2023/02/01 11:02:06 - mmengine - INFO - Epoch(train) [97][ 340/1879] lr: 8.1860e-02 eta: 1 day, 18:21:38 time: 0.5003 data_time: 0.0359 memory: 18108 grad_norm: 3.1343 loss: 4.3266 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6446 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6821 2023/02/01 11:02:16 - mmengine - INFO - Epoch(train) [97][ 360/1879] lr: 8.1854e-02 eta: 1 day, 18:21:28 time: 0.5066 data_time: 0.0395 memory: 18108 grad_norm: 3.1132 loss: 4.5456 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6573 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.8884 2023/02/01 11:02:26 - mmengine - INFO - Epoch(train) [97][ 380/1879] lr: 8.1848e-02 eta: 1 day, 18:21:18 time: 0.5124 data_time: 0.0380 memory: 18108 grad_norm: 3.1948 loss: 4.2016 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3919 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.8098 2023/02/01 11:02:36 - mmengine - INFO - Epoch(train) [97][ 400/1879] lr: 8.1843e-02 eta: 1 day, 18:21:08 time: 0.5104 data_time: 0.0365 memory: 18108 grad_norm: 3.1610 loss: 4.2337 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.3764 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.8574 2023/02/01 11:02:47 - mmengine - INFO - Epoch(train) [97][ 420/1879] lr: 8.1837e-02 eta: 1 day, 18:20:58 time: 0.5056 data_time: 0.0327 memory: 18108 grad_norm: 3.1858 loss: 4.3874 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4781 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.9093 2023/02/01 11:02:57 - mmengine - INFO - Epoch(train) [97][ 440/1879] lr: 8.1831e-02 eta: 1 day, 18:20:48 time: 0.5102 data_time: 0.0467 memory: 18108 grad_norm: 3.1971 loss: 4.4537 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6396 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.8141 2023/02/01 11:03:07 - mmengine - INFO - Epoch(train) [97][ 460/1879] lr: 8.1825e-02 eta: 1 day, 18:20:38 time: 0.5126 data_time: 0.0290 memory: 18108 grad_norm: 3.0966 loss: 4.3184 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.4499 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.8685 2023/02/01 11:03:17 - mmengine - INFO - Epoch(train) [97][ 480/1879] lr: 8.1819e-02 eta: 1 day, 18:20:27 time: 0.4978 data_time: 0.0340 memory: 18108 grad_norm: 3.1151 loss: 4.3866 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6241 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7625 2023/02/01 11:03:27 - mmengine - INFO - Epoch(train) [97][ 500/1879] lr: 8.1814e-02 eta: 1 day, 18:20:17 time: 0.4994 data_time: 0.0361 memory: 18108 grad_norm: 3.2031 loss: 4.3936 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5600 top1_acc_1: 0.6824 top5_acc_1: 0.8118 loss_cls_1: 1.8335 2023/02/01 11:03:37 - mmengine - INFO - Epoch(train) [97][ 520/1879] lr: 8.1808e-02 eta: 1 day, 18:20:06 time: 0.4941 data_time: 0.0419 memory: 18108 grad_norm: 3.1099 loss: 4.0923 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3266 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.7657 2023/02/01 11:03:47 - mmengine - INFO - Epoch(train) [97][ 540/1879] lr: 8.1802e-02 eta: 1 day, 18:19:56 time: 0.5052 data_time: 0.0360 memory: 18108 grad_norm: 3.1849 loss: 4.3186 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5234 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.7952 2023/02/01 11:03:57 - mmengine - INFO - Epoch(train) [97][ 560/1879] lr: 8.1796e-02 eta: 1 day, 18:19:45 time: 0.4914 data_time: 0.0345 memory: 18108 grad_norm: 3.1584 loss: 4.2972 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.5036 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.7936 2023/02/01 11:04:07 - mmengine - INFO - Epoch(train) [97][ 580/1879] lr: 8.1790e-02 eta: 1 day, 18:19:35 time: 0.5043 data_time: 0.0368 memory: 18108 grad_norm: 3.1441 loss: 4.3592 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.5098 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.8494 2023/02/01 11:04:17 - mmengine - INFO - Epoch(train) [97][ 600/1879] lr: 8.1785e-02 eta: 1 day, 18:19:24 time: 0.5007 data_time: 0.0428 memory: 18108 grad_norm: 3.0772 loss: 4.2792 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4562 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8230 2023/02/01 11:04:25 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 11:04:27 - mmengine - INFO - Epoch(train) [97][ 620/1879] lr: 8.1779e-02 eta: 1 day, 18:19:14 time: 0.5041 data_time: 0.0343 memory: 18108 grad_norm: 3.1354 loss: 4.3083 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.5288 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.7795 2023/02/01 11:04:37 - mmengine - INFO - Epoch(train) [97][ 640/1879] lr: 8.1773e-02 eta: 1 day, 18:19:04 time: 0.4965 data_time: 0.0325 memory: 18108 grad_norm: 3.1269 loss: 4.1640 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3321 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8319 2023/02/01 11:04:47 - mmengine - INFO - Epoch(train) [97][ 660/1879] lr: 8.1767e-02 eta: 1 day, 18:18:54 time: 0.5108 data_time: 0.0340 memory: 18108 grad_norm: 3.2165 loss: 4.2511 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4969 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7542 2023/02/01 11:04:57 - mmengine - INFO - Epoch(train) [97][ 680/1879] lr: 8.1761e-02 eta: 1 day, 18:18:43 time: 0.4991 data_time: 0.0310 memory: 18108 grad_norm: 3.1502 loss: 4.2926 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.4990 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7936 2023/02/01 11:05:07 - mmengine - INFO - Epoch(train) [97][ 700/1879] lr: 8.1755e-02 eta: 1 day, 18:18:33 time: 0.4992 data_time: 0.0361 memory: 18108 grad_norm: 3.1218 loss: 4.8635 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 3.0450 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8185 2023/02/01 11:05:17 - mmengine - INFO - Epoch(train) [97][ 720/1879] lr: 8.1750e-02 eta: 1 day, 18:18:22 time: 0.5034 data_time: 0.0325 memory: 18108 grad_norm: 3.1417 loss: 4.4972 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6187 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8786 2023/02/01 11:05:28 - mmengine - INFO - Epoch(train) [97][ 740/1879] lr: 8.1744e-02 eta: 1 day, 18:18:12 time: 0.5111 data_time: 0.0341 memory: 18108 grad_norm: 3.2077 loss: 4.1822 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3535 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.8287 2023/02/01 11:05:38 - mmengine - INFO - Epoch(train) [97][ 760/1879] lr: 8.1738e-02 eta: 1 day, 18:18:02 time: 0.4990 data_time: 0.0384 memory: 18108 grad_norm: 3.0394 loss: 4.3816 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.5791 top1_acc_1: 0.7059 top5_acc_1: 0.8235 loss_cls_1: 1.8025 2023/02/01 11:05:48 - mmengine - INFO - Epoch(train) [97][ 780/1879] lr: 8.1732e-02 eta: 1 day, 18:17:52 time: 0.5109 data_time: 0.0339 memory: 18108 grad_norm: 3.0879 loss: 4.3244 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4982 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8262 2023/02/01 11:05:58 - mmengine - INFO - Epoch(train) [97][ 800/1879] lr: 8.1726e-02 eta: 1 day, 18:17:42 time: 0.5083 data_time: 0.0323 memory: 18108 grad_norm: 3.1626 loss: 4.3915 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5851 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.8065 2023/02/01 11:06:08 - mmengine - INFO - Epoch(train) [97][ 820/1879] lr: 8.1721e-02 eta: 1 day, 18:17:32 time: 0.5168 data_time: 0.0337 memory: 18108 grad_norm: 3.1032 loss: 4.4272 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6080 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8193 2023/02/01 11:06:19 - mmengine - INFO - Epoch(train) [97][ 840/1879] lr: 8.1715e-02 eta: 1 day, 18:17:22 time: 0.5124 data_time: 0.0320 memory: 18108 grad_norm: 3.1313 loss: 4.3613 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5209 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8404 2023/02/01 11:06:29 - mmengine - INFO - Epoch(train) [97][ 860/1879] lr: 8.1709e-02 eta: 1 day, 18:17:12 time: 0.5266 data_time: 0.0333 memory: 18108 grad_norm: 3.1570 loss: 4.6232 top1_acc_0: 0.1875 top5_acc_0: 0.2500 loss_cls_0: 2.7545 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8687 2023/02/01 11:06:40 - mmengine - INFO - Epoch(train) [97][ 880/1879] lr: 8.1703e-02 eta: 1 day, 18:17:02 time: 0.5170 data_time: 0.0316 memory: 18108 grad_norm: 3.1154 loss: 4.3729 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5475 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8255 2023/02/01 11:06:50 - mmengine - INFO - Epoch(train) [97][ 900/1879] lr: 8.1697e-02 eta: 1 day, 18:16:52 time: 0.5029 data_time: 0.0349 memory: 18108 grad_norm: 3.0966 loss: 4.4512 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6894 top1_acc_1: 0.6471 top5_acc_1: 0.7765 loss_cls_1: 1.7617 2023/02/01 11:07:00 - mmengine - INFO - Epoch(train) [97][ 920/1879] lr: 8.1691e-02 eta: 1 day, 18:16:43 time: 0.5269 data_time: 0.0380 memory: 18108 grad_norm: 3.1660 loss: 4.4051 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5302 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8749 2023/02/01 11:07:10 - mmengine - INFO - Epoch(train) [97][ 940/1879] lr: 8.1686e-02 eta: 1 day, 18:16:32 time: 0.5059 data_time: 0.0346 memory: 18108 grad_norm: 3.2185 loss: 4.4527 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5912 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8615 2023/02/01 11:07:20 - mmengine - INFO - Epoch(train) [97][ 960/1879] lr: 8.1680e-02 eta: 1 day, 18:16:22 time: 0.5104 data_time: 0.0343 memory: 18108 grad_norm: 3.0779 loss: 4.4481 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6097 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8384 2023/02/01 11:07:31 - mmengine - INFO - Epoch(train) [97][ 980/1879] lr: 8.1674e-02 eta: 1 day, 18:16:12 time: 0.5123 data_time: 0.0351 memory: 18108 grad_norm: 3.1874 loss: 4.5549 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6649 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.8900 2023/02/01 11:07:41 - mmengine - INFO - Epoch(train) [97][1000/1879] lr: 8.1668e-02 eta: 1 day, 18:16:03 time: 0.5278 data_time: 0.0316 memory: 18108 grad_norm: 3.0844 loss: 4.4255 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5309 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.8945 2023/02/01 11:07:51 - mmengine - INFO - Epoch(train) [97][1020/1879] lr: 8.1662e-02 eta: 1 day, 18:15:53 time: 0.5053 data_time: 0.0347 memory: 18108 grad_norm: 3.1514 loss: 4.2834 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4641 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.8193 2023/02/01 11:08:02 - mmengine - INFO - Epoch(train) [97][1040/1879] lr: 8.1656e-02 eta: 1 day, 18:15:43 time: 0.5186 data_time: 0.0316 memory: 18108 grad_norm: 3.1249 loss: 4.6997 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.9002 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.7995 2023/02/01 11:08:12 - mmengine - INFO - Epoch(train) [97][1060/1879] lr: 8.1651e-02 eta: 1 day, 18:15:33 time: 0.5141 data_time: 0.0344 memory: 18108 grad_norm: 3.1451 loss: 4.4363 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5611 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.8753 2023/02/01 11:08:23 - mmengine - INFO - Epoch(train) [97][1080/1879] lr: 8.1645e-02 eta: 1 day, 18:15:24 time: 0.5378 data_time: 0.0382 memory: 18108 grad_norm: 3.1360 loss: 4.2303 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4177 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.8126 2023/02/01 11:08:33 - mmengine - INFO - Epoch(train) [97][1100/1879] lr: 8.1639e-02 eta: 1 day, 18:15:14 time: 0.5221 data_time: 0.0342 memory: 18108 grad_norm: 3.0833 loss: 4.4109 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5466 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.8643 2023/02/01 11:08:44 - mmengine - INFO - Epoch(train) [97][1120/1879] lr: 8.1633e-02 eta: 1 day, 18:15:04 time: 0.5172 data_time: 0.0320 memory: 18108 grad_norm: 3.1249 loss: 4.3326 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4741 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8585 2023/02/01 11:08:54 - mmengine - INFO - Epoch(train) [97][1140/1879] lr: 8.1627e-02 eta: 1 day, 18:14:55 time: 0.5297 data_time: 0.0359 memory: 18108 grad_norm: 3.1544 loss: 4.5659 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6815 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.8844 2023/02/01 11:09:05 - mmengine - INFO - Epoch(train) [97][1160/1879] lr: 8.1621e-02 eta: 1 day, 18:14:45 time: 0.5122 data_time: 0.0416 memory: 18108 grad_norm: 3.1639 loss: 4.4929 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6549 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.8381 2023/02/01 11:09:15 - mmengine - INFO - Epoch(train) [97][1180/1879] lr: 8.1616e-02 eta: 1 day, 18:14:35 time: 0.5136 data_time: 0.0344 memory: 18108 grad_norm: 3.1375 loss: 4.3602 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.5610 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7992 2023/02/01 11:09:25 - mmengine - INFO - Epoch(train) [97][1200/1879] lr: 8.1610e-02 eta: 1 day, 18:14:25 time: 0.5210 data_time: 0.0324 memory: 18108 grad_norm: 3.1617 loss: 4.3309 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5088 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8221 2023/02/01 11:09:36 - mmengine - INFO - Epoch(train) [97][1220/1879] lr: 8.1604e-02 eta: 1 day, 18:14:15 time: 0.5149 data_time: 0.0343 memory: 18108 grad_norm: 3.1136 loss: 4.2874 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4483 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.8391 2023/02/01 11:09:46 - mmengine - INFO - Epoch(train) [97][1240/1879] lr: 8.1598e-02 eta: 1 day, 18:14:05 time: 0.5131 data_time: 0.0410 memory: 18108 grad_norm: 3.0850 loss: 4.5176 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5994 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.9182 2023/02/01 11:09:56 - mmengine - INFO - Epoch(train) [97][1260/1879] lr: 8.1592e-02 eta: 1 day, 18:13:55 time: 0.5177 data_time: 0.0345 memory: 18108 grad_norm: 3.1784 loss: 4.2327 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4615 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.7712 2023/02/01 11:10:07 - mmengine - INFO - Epoch(train) [97][1280/1879] lr: 8.1586e-02 eta: 1 day, 18:13:46 time: 0.5350 data_time: 0.0307 memory: 18108 grad_norm: 3.1516 loss: 4.4246 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5762 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8483 2023/02/01 11:10:17 - mmengine - INFO - Epoch(train) [97][1300/1879] lr: 8.1581e-02 eta: 1 day, 18:13:36 time: 0.5067 data_time: 0.0356 memory: 18108 grad_norm: 3.1568 loss: 4.4020 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6155 top1_acc_1: 0.5529 top5_acc_1: 0.8824 loss_cls_1: 1.7865 2023/02/01 11:10:28 - mmengine - INFO - Epoch(train) [97][1320/1879] lr: 8.1575e-02 eta: 1 day, 18:13:26 time: 0.5206 data_time: 0.0407 memory: 18108 grad_norm: 3.1234 loss: 4.6120 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7450 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8669 2023/02/01 11:10:38 - mmengine - INFO - Epoch(train) [97][1340/1879] lr: 8.1569e-02 eta: 1 day, 18:13:16 time: 0.5265 data_time: 0.0334 memory: 18108 grad_norm: 3.1084 loss: 4.2639 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4984 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.7654 2023/02/01 11:10:48 - mmengine - INFO - Epoch(train) [97][1360/1879] lr: 8.1563e-02 eta: 1 day, 18:13:07 time: 0.5154 data_time: 0.0329 memory: 18108 grad_norm: 3.0875 loss: 4.2531 top1_acc_0: 0.3750 top5_acc_0: 0.9375 loss_cls_0: 2.4835 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.7697 2023/02/01 11:10:59 - mmengine - INFO - Epoch(train) [97][1380/1879] lr: 8.1557e-02 eta: 1 day, 18:12:57 time: 0.5222 data_time: 0.0336 memory: 18108 grad_norm: 3.0970 loss: 4.2113 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3758 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.8355 2023/02/01 11:11:10 - mmengine - INFO - Epoch(train) [97][1400/1879] lr: 8.1551e-02 eta: 1 day, 18:12:48 time: 0.5332 data_time: 0.0398 memory: 18108 grad_norm: 3.2115 loss: 4.4011 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6188 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.7823 2023/02/01 11:11:20 - mmengine - INFO - Epoch(train) [97][1420/1879] lr: 8.1546e-02 eta: 1 day, 18:12:38 time: 0.5249 data_time: 0.0337 memory: 18108 grad_norm: 3.1180 loss: 4.6184 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6985 top1_acc_1: 0.6706 top5_acc_1: 0.8000 loss_cls_1: 1.9198 2023/02/01 11:11:30 - mmengine - INFO - Epoch(train) [97][1440/1879] lr: 8.1540e-02 eta: 1 day, 18:12:28 time: 0.5005 data_time: 0.0328 memory: 18108 grad_norm: 3.1054 loss: 4.2609 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4660 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 1.7949 2023/02/01 11:11:40 - mmengine - INFO - Epoch(train) [97][1460/1879] lr: 8.1534e-02 eta: 1 day, 18:12:18 time: 0.5135 data_time: 0.0345 memory: 18108 grad_norm: 3.0914 loss: 4.1683 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3771 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.7911 2023/02/01 11:11:51 - mmengine - INFO - Epoch(train) [97][1480/1879] lr: 8.1528e-02 eta: 1 day, 18:12:08 time: 0.5171 data_time: 0.0402 memory: 18108 grad_norm: 3.1856 loss: 4.3337 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5121 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8216 2023/02/01 11:12:01 - mmengine - INFO - Epoch(train) [97][1500/1879] lr: 8.1522e-02 eta: 1 day, 18:11:57 time: 0.5029 data_time: 0.0336 memory: 18108 grad_norm: 3.1421 loss: 4.3021 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4009 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.9011 2023/02/01 11:12:11 - mmengine - INFO - Epoch(train) [97][1520/1879] lr: 8.1516e-02 eta: 1 day, 18:11:47 time: 0.5107 data_time: 0.0335 memory: 18108 grad_norm: 3.1073 loss: 4.5228 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6238 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8990 2023/02/01 11:12:22 - mmengine - INFO - Epoch(train) [97][1540/1879] lr: 8.1511e-02 eta: 1 day, 18:11:38 time: 0.5288 data_time: 0.0349 memory: 18108 grad_norm: 3.0991 loss: 4.4162 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.5393 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8769 2023/02/01 11:12:33 - mmengine - INFO - Epoch(train) [97][1560/1879] lr: 8.1505e-02 eta: 1 day, 18:11:29 time: 0.5468 data_time: 0.0402 memory: 18108 grad_norm: 3.1333 loss: 4.3096 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.4826 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.8270 2023/02/01 11:12:43 - mmengine - INFO - Epoch(train) [97][1580/1879] lr: 8.1499e-02 eta: 1 day, 18:11:19 time: 0.5045 data_time: 0.0349 memory: 18108 grad_norm: 3.1108 loss: 4.4728 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6080 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8648 2023/02/01 11:12:53 - mmengine - INFO - Epoch(train) [97][1600/1879] lr: 8.1493e-02 eta: 1 day, 18:11:09 time: 0.5310 data_time: 0.0317 memory: 18108 grad_norm: 3.1960 loss: 4.4206 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6080 top1_acc_1: 0.4941 top5_acc_1: 0.8118 loss_cls_1: 1.8126 2023/02/01 11:13:01 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 11:13:03 - mmengine - INFO - Epoch(train) [97][1620/1879] lr: 8.1487e-02 eta: 1 day, 18:10:59 time: 0.5078 data_time: 0.0344 memory: 18108 grad_norm: 3.0876 loss: 4.3150 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4999 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.8151 2023/02/01 11:13:14 - mmengine - INFO - Epoch(train) [97][1640/1879] lr: 8.1481e-02 eta: 1 day, 18:10:49 time: 0.5087 data_time: 0.0412 memory: 18108 grad_norm: 3.1194 loss: 4.3523 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.4738 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8785 2023/02/01 11:13:24 - mmengine - INFO - Epoch(train) [97][1660/1879] lr: 8.1475e-02 eta: 1 day, 18:10:39 time: 0.5016 data_time: 0.0362 memory: 18108 grad_norm: 3.1389 loss: 4.3343 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5488 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.7855 2023/02/01 11:13:35 - mmengine - INFO - Epoch(train) [97][1680/1879] lr: 8.1470e-02 eta: 1 day, 18:10:30 time: 0.5428 data_time: 0.0329 memory: 18108 grad_norm: 3.1849 loss: 4.2645 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4449 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.8196 2023/02/01 11:13:45 - mmengine - INFO - Epoch(train) [97][1700/1879] lr: 8.1464e-02 eta: 1 day, 18:10:20 time: 0.5115 data_time: 0.0345 memory: 18108 grad_norm: 3.1196 loss: 4.4047 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6222 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7825 2023/02/01 11:13:55 - mmengine - INFO - Epoch(train) [97][1720/1879] lr: 8.1458e-02 eta: 1 day, 18:10:10 time: 0.5243 data_time: 0.0436 memory: 18108 grad_norm: 3.1933 loss: 4.4150 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5865 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8286 2023/02/01 11:14:05 - mmengine - INFO - Epoch(train) [97][1740/1879] lr: 8.1452e-02 eta: 1 day, 18:10:00 time: 0.5110 data_time: 0.0357 memory: 18108 grad_norm: 3.1480 loss: 4.3748 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5162 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.8586 2023/02/01 11:14:16 - mmengine - INFO - Epoch(train) [97][1760/1879] lr: 8.1446e-02 eta: 1 day, 18:09:51 time: 0.5301 data_time: 0.0335 memory: 18108 grad_norm: 3.1795 loss: 4.3964 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6319 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.7645 2023/02/01 11:14:26 - mmengine - INFO - Epoch(train) [97][1780/1879] lr: 8.1440e-02 eta: 1 day, 18:09:41 time: 0.5127 data_time: 0.0345 memory: 18108 grad_norm: 3.0979 loss: 4.4329 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6184 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.8145 2023/02/01 11:14:36 - mmengine - INFO - Epoch(train) [97][1800/1879] lr: 8.1434e-02 eta: 1 day, 18:09:30 time: 0.5059 data_time: 0.0313 memory: 18108 grad_norm: 3.1060 loss: 4.4378 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.6003 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.8375 2023/02/01 11:14:47 - mmengine - INFO - Epoch(train) [97][1820/1879] lr: 8.1429e-02 eta: 1 day, 18:09:20 time: 0.5012 data_time: 0.0347 memory: 18108 grad_norm: 3.1390 loss: 4.4530 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6327 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8204 2023/02/01 11:14:57 - mmengine - INFO - Epoch(train) [97][1840/1879] lr: 8.1423e-02 eta: 1 day, 18:09:10 time: 0.5253 data_time: 0.0344 memory: 18108 grad_norm: 3.1064 loss: 4.3973 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5208 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8765 2023/02/01 11:15:06 - mmengine - INFO - Epoch(train) [97][1860/1879] lr: 8.1417e-02 eta: 1 day, 18:08:59 time: 0.4717 data_time: 0.0369 memory: 18108 grad_norm: 3.1104 loss: 4.3838 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.4923 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8915 2023/02/01 11:15:15 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 11:15:15 - mmengine - INFO - Epoch(train) [97][1879/1879] lr: 8.1411e-02 eta: 1 day, 18:08:48 time: 0.4606 data_time: 0.0349 memory: 18108 grad_norm: 3.2318 loss: 4.3995 top1_acc_0: 0.5714 top5_acc_0: 1.0000 loss_cls_0: 2.5086 top1_acc_1: 0.5294 top5_acc_1: 0.6941 loss_cls_1: 1.8909 2023/02/01 11:15:30 - mmengine - INFO - Epoch(train) [98][ 20/1879] lr: 8.1405e-02 eta: 1 day, 18:08:44 time: 0.7046 data_time: 0.2573 memory: 18108 grad_norm: 3.0383 loss: 4.3084 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5060 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.8023 2023/02/01 11:15:40 - mmengine - INFO - Epoch(train) [98][ 40/1879] lr: 8.1400e-02 eta: 1 day, 18:08:33 time: 0.4698 data_time: 0.0322 memory: 18108 grad_norm: 3.1591 loss: 4.1717 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3668 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8050 2023/02/01 11:15:49 - mmengine - INFO - Epoch(train) [98][ 60/1879] lr: 8.1394e-02 eta: 1 day, 18:08:22 time: 0.4801 data_time: 0.0393 memory: 18108 grad_norm: 3.0813 loss: 4.1807 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3760 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.8046 2023/02/01 11:15:59 - mmengine - INFO - Epoch(train) [98][ 80/1879] lr: 8.1388e-02 eta: 1 day, 18:08:12 time: 0.5103 data_time: 0.0398 memory: 18108 grad_norm: 3.1015 loss: 4.2713 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4123 top1_acc_1: 0.4588 top5_acc_1: 0.6941 loss_cls_1: 1.8590 2023/02/01 11:16:09 - mmengine - INFO - Epoch(train) [98][ 100/1879] lr: 8.1382e-02 eta: 1 day, 18:08:01 time: 0.4800 data_time: 0.0392 memory: 18108 grad_norm: 3.1423 loss: 4.0365 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2797 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.7568 2023/02/01 11:16:19 - mmengine - INFO - Epoch(train) [98][ 120/1879] lr: 8.1376e-02 eta: 1 day, 18:07:49 time: 0.4741 data_time: 0.0317 memory: 18108 grad_norm: 3.1603 loss: 4.1154 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3574 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7580 2023/02/01 11:16:29 - mmengine - INFO - Epoch(train) [98][ 140/1879] lr: 8.1370e-02 eta: 1 day, 18:07:39 time: 0.5166 data_time: 0.0364 memory: 18108 grad_norm: 3.1924 loss: 4.2303 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5121 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.7182 2023/02/01 11:16:39 - mmengine - INFO - Epoch(train) [98][ 160/1879] lr: 8.1364e-02 eta: 1 day, 18:07:29 time: 0.5005 data_time: 0.0320 memory: 18108 grad_norm: 3.1438 loss: 4.3484 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6194 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7290 2023/02/01 11:16:49 - mmengine - INFO - Epoch(train) [98][ 180/1879] lr: 8.1359e-02 eta: 1 day, 18:07:18 time: 0.4908 data_time: 0.0360 memory: 18108 grad_norm: 3.1687 loss: 4.3454 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5122 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.8333 2023/02/01 11:16:59 - mmengine - INFO - Epoch(train) [98][ 200/1879] lr: 8.1353e-02 eta: 1 day, 18:07:08 time: 0.4969 data_time: 0.0312 memory: 18108 grad_norm: 3.1081 loss: 4.2479 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5133 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 1.7346 2023/02/01 11:17:09 - mmengine - INFO - Epoch(train) [98][ 220/1879] lr: 8.1347e-02 eta: 1 day, 18:06:58 time: 0.5224 data_time: 0.0387 memory: 18108 grad_norm: 3.1747 loss: 4.2896 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4913 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.7983 2023/02/01 11:17:19 - mmengine - INFO - Epoch(train) [98][ 240/1879] lr: 8.1341e-02 eta: 1 day, 18:06:47 time: 0.4925 data_time: 0.0309 memory: 18108 grad_norm: 3.1421 loss: 4.3340 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5559 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7781 2023/02/01 11:17:29 - mmengine - INFO - Epoch(train) [98][ 260/1879] lr: 8.1335e-02 eta: 1 day, 18:06:37 time: 0.5017 data_time: 0.0363 memory: 18108 grad_norm: 3.1530 loss: 4.2509 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4803 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.7706 2023/02/01 11:17:39 - mmengine - INFO - Epoch(train) [98][ 280/1879] lr: 8.1329e-02 eta: 1 day, 18:06:27 time: 0.5212 data_time: 0.0312 memory: 18108 grad_norm: 3.1825 loss: 4.4408 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6342 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.8066 2023/02/01 11:17:50 - mmengine - INFO - Epoch(train) [98][ 300/1879] lr: 8.1323e-02 eta: 1 day, 18:06:17 time: 0.5148 data_time: 0.0354 memory: 18108 grad_norm: 3.1129 loss: 4.1735 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3954 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7782 2023/02/01 11:18:00 - mmengine - INFO - Epoch(train) [98][ 320/1879] lr: 8.1317e-02 eta: 1 day, 18:06:07 time: 0.5019 data_time: 0.0314 memory: 18108 grad_norm: 3.1105 loss: 4.4930 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5480 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.9450 2023/02/01 11:18:10 - mmengine - INFO - Epoch(train) [98][ 340/1879] lr: 8.1312e-02 eta: 1 day, 18:05:58 time: 0.5246 data_time: 0.0350 memory: 18108 grad_norm: 3.1215 loss: 4.5658 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6766 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.8892 2023/02/01 11:18:21 - mmengine - INFO - Epoch(train) [98][ 360/1879] lr: 8.1306e-02 eta: 1 day, 18:05:48 time: 0.5224 data_time: 0.0376 memory: 18108 grad_norm: 3.1278 loss: 4.2784 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.4981 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7803 2023/02/01 11:18:31 - mmengine - INFO - Epoch(train) [98][ 380/1879] lr: 8.1300e-02 eta: 1 day, 18:05:38 time: 0.5188 data_time: 0.0386 memory: 18108 grad_norm: 3.2151 loss: 4.3316 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.4628 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.8688 2023/02/01 11:18:42 - mmengine - INFO - Epoch(train) [98][ 400/1879] lr: 8.1294e-02 eta: 1 day, 18:05:28 time: 0.5187 data_time: 0.0285 memory: 18108 grad_norm: 3.1095 loss: 4.3469 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.5061 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.8409 2023/02/01 11:18:52 - mmengine - INFO - Epoch(train) [98][ 420/1879] lr: 8.1288e-02 eta: 1 day, 18:05:19 time: 0.5329 data_time: 0.0443 memory: 18108 grad_norm: 3.1594 loss: 4.1840 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4171 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.7668 2023/02/01 11:19:02 - mmengine - INFO - Epoch(train) [98][ 440/1879] lr: 8.1282e-02 eta: 1 day, 18:05:09 time: 0.5065 data_time: 0.0288 memory: 18108 grad_norm: 3.2385 loss: 4.5680 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.7786 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.7895 2023/02/01 11:19:12 - mmengine - INFO - Epoch(train) [98][ 460/1879] lr: 8.1276e-02 eta: 1 day, 18:04:58 time: 0.5050 data_time: 0.0359 memory: 18108 grad_norm: 3.1237 loss: 4.2237 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3603 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.8633 2023/02/01 11:19:23 - mmengine - INFO - Epoch(train) [98][ 480/1879] lr: 8.1270e-02 eta: 1 day, 18:04:49 time: 0.5350 data_time: 0.0280 memory: 18108 grad_norm: 3.0715 loss: 4.2006 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4163 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.7843 2023/02/01 11:19:34 - mmengine - INFO - Epoch(train) [98][ 500/1879] lr: 8.1265e-02 eta: 1 day, 18:04:39 time: 0.5213 data_time: 0.0376 memory: 18108 grad_norm: 3.1285 loss: 4.2540 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4258 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.8282 2023/02/01 11:19:44 - mmengine - INFO - Epoch(train) [98][ 520/1879] lr: 8.1259e-02 eta: 1 day, 18:04:29 time: 0.5087 data_time: 0.0295 memory: 18108 grad_norm: 3.1884 loss: 4.4876 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6346 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8529 2023/02/01 11:19:54 - mmengine - INFO - Epoch(train) [98][ 540/1879] lr: 8.1253e-02 eta: 1 day, 18:04:20 time: 0.5284 data_time: 0.0374 memory: 18108 grad_norm: 3.1102 loss: 4.2601 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4595 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8007 2023/02/01 11:20:05 - mmengine - INFO - Epoch(train) [98][ 560/1879] lr: 8.1247e-02 eta: 1 day, 18:04:10 time: 0.5210 data_time: 0.0281 memory: 18108 grad_norm: 3.1194 loss: 4.4275 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6273 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.8002 2023/02/01 11:20:15 - mmengine - INFO - Epoch(train) [98][ 580/1879] lr: 8.1241e-02 eta: 1 day, 18:04:00 time: 0.5132 data_time: 0.0390 memory: 18108 grad_norm: 3.1695 loss: 4.3093 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5515 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.7579 2023/02/01 11:20:25 - mmengine - INFO - Epoch(train) [98][ 600/1879] lr: 8.1235e-02 eta: 1 day, 18:03:50 time: 0.5162 data_time: 0.0310 memory: 18108 grad_norm: 3.1406 loss: 4.3675 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5644 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8031 2023/02/01 11:20:36 - mmengine - INFO - Epoch(train) [98][ 620/1879] lr: 8.1229e-02 eta: 1 day, 18:03:41 time: 0.5239 data_time: 0.0430 memory: 18108 grad_norm: 3.1765 loss: 4.1013 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3354 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.7659 2023/02/01 11:20:46 - mmengine - INFO - Epoch(train) [98][ 640/1879] lr: 8.1223e-02 eta: 1 day, 18:03:30 time: 0.5001 data_time: 0.0307 memory: 18108 grad_norm: 3.2500 loss: 4.2898 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.5491 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7407 2023/02/01 11:20:56 - mmengine - INFO - Epoch(train) [98][ 660/1879] lr: 8.1218e-02 eta: 1 day, 18:03:20 time: 0.5062 data_time: 0.0384 memory: 18108 grad_norm: 3.1485 loss: 4.2645 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5103 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.7542 2023/02/01 11:21:07 - mmengine - INFO - Epoch(train) [98][ 680/1879] lr: 8.1212e-02 eta: 1 day, 18:03:10 time: 0.5199 data_time: 0.0361 memory: 18108 grad_norm: 3.1620 loss: 4.4100 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5558 top1_acc_1: 0.6235 top5_acc_1: 0.7412 loss_cls_1: 1.8543 2023/02/01 11:21:17 - mmengine - INFO - Epoch(train) [98][ 700/1879] lr: 8.1206e-02 eta: 1 day, 18:03:00 time: 0.5023 data_time: 0.0402 memory: 18108 grad_norm: 3.1276 loss: 4.0329 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3076 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.7252 2023/02/01 11:21:26 - mmengine - INFO - Epoch(train) [98][ 720/1879] lr: 8.1200e-02 eta: 1 day, 18:02:49 time: 0.4935 data_time: 0.0287 memory: 18108 grad_norm: 3.1888 loss: 4.5385 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7157 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8227 2023/02/01 11:21:35 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 11:21:37 - mmengine - INFO - Epoch(train) [98][ 740/1879] lr: 8.1194e-02 eta: 1 day, 18:02:40 time: 0.5254 data_time: 0.0420 memory: 18108 grad_norm: 3.1063 loss: 4.3643 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.4839 top1_acc_1: 0.6588 top5_acc_1: 0.7882 loss_cls_1: 1.8804 2023/02/01 11:21:47 - mmengine - INFO - Epoch(train) [98][ 760/1879] lr: 8.1188e-02 eta: 1 day, 18:02:29 time: 0.5040 data_time: 0.0301 memory: 18108 grad_norm: 3.1418 loss: 4.3590 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4777 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.8812 2023/02/01 11:21:57 - mmengine - INFO - Epoch(train) [98][ 780/1879] lr: 8.1182e-02 eta: 1 day, 18:02:19 time: 0.4993 data_time: 0.0355 memory: 18108 grad_norm: 3.2016 loss: 4.6067 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7301 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8766 2023/02/01 11:22:07 - mmengine - INFO - Epoch(train) [98][ 800/1879] lr: 8.1176e-02 eta: 1 day, 18:02:09 time: 0.5213 data_time: 0.0384 memory: 18108 grad_norm: 3.1252 loss: 4.4151 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6045 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 1.8105 2023/02/01 11:22:18 - mmengine - INFO - Epoch(train) [98][ 820/1879] lr: 8.1170e-02 eta: 1 day, 18:01:59 time: 0.5063 data_time: 0.0365 memory: 18108 grad_norm: 3.2089 loss: 4.6758 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.8685 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.8073 2023/02/01 11:22:28 - mmengine - INFO - Epoch(train) [98][ 840/1879] lr: 8.1165e-02 eta: 1 day, 18:01:49 time: 0.5012 data_time: 0.0305 memory: 18108 grad_norm: 3.1855 loss: 4.5012 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6977 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.8034 2023/02/01 11:22:38 - mmengine - INFO - Epoch(train) [98][ 860/1879] lr: 8.1159e-02 eta: 1 day, 18:01:39 time: 0.5106 data_time: 0.0366 memory: 18108 grad_norm: 3.1331 loss: 4.3403 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.4700 top1_acc_1: 0.5059 top5_acc_1: 0.8235 loss_cls_1: 1.8703 2023/02/01 11:22:48 - mmengine - INFO - Epoch(train) [98][ 880/1879] lr: 8.1153e-02 eta: 1 day, 18:01:29 time: 0.5125 data_time: 0.0297 memory: 18108 grad_norm: 3.1391 loss: 4.3860 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5847 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.8013 2023/02/01 11:22:58 - mmengine - INFO - Epoch(train) [98][ 900/1879] lr: 8.1147e-02 eta: 1 day, 18:01:18 time: 0.5029 data_time: 0.0366 memory: 18108 grad_norm: 3.1562 loss: 4.3872 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5781 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8090 2023/02/01 11:23:08 - mmengine - INFO - Epoch(train) [98][ 920/1879] lr: 8.1141e-02 eta: 1 day, 18:01:08 time: 0.5040 data_time: 0.0303 memory: 18108 grad_norm: 3.1478 loss: 4.5216 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5208 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 2.0008 2023/02/01 11:23:18 - mmengine - INFO - Epoch(train) [98][ 940/1879] lr: 8.1135e-02 eta: 1 day, 18:00:58 time: 0.5066 data_time: 0.0449 memory: 18108 grad_norm: 3.1817 loss: 4.3916 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.6097 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.7819 2023/02/01 11:23:29 - mmengine - INFO - Epoch(train) [98][ 960/1879] lr: 8.1129e-02 eta: 1 day, 18:00:48 time: 0.5100 data_time: 0.0288 memory: 18108 grad_norm: 3.1501 loss: 4.5453 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7312 top1_acc_1: 0.6706 top5_acc_1: 0.8000 loss_cls_1: 1.8141 2023/02/01 11:23:39 - mmengine - INFO - Epoch(train) [98][ 980/1879] lr: 8.1123e-02 eta: 1 day, 18:00:37 time: 0.5000 data_time: 0.0376 memory: 18108 grad_norm: 3.1807 loss: 4.4315 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5487 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.8828 2023/02/01 11:23:49 - mmengine - INFO - Epoch(train) [98][1000/1879] lr: 8.1117e-02 eta: 1 day, 18:00:27 time: 0.5023 data_time: 0.0361 memory: 18108 grad_norm: 3.1955 loss: 4.2642 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4083 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.8559 2023/02/01 11:23:59 - mmengine - INFO - Epoch(train) [98][1020/1879] lr: 8.1112e-02 eta: 1 day, 18:00:17 time: 0.5145 data_time: 0.0372 memory: 18108 grad_norm: 3.1943 loss: 4.6444 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.7636 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8808 2023/02/01 11:24:09 - mmengine - INFO - Epoch(train) [98][1040/1879] lr: 8.1106e-02 eta: 1 day, 18:00:06 time: 0.4946 data_time: 0.0285 memory: 18108 grad_norm: 3.1337 loss: 4.2889 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5288 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.7600 2023/02/01 11:24:19 - mmengine - INFO - Epoch(train) [98][1060/1879] lr: 8.1100e-02 eta: 1 day, 17:59:56 time: 0.5065 data_time: 0.0363 memory: 18108 grad_norm: 3.0832 loss: 4.2564 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4115 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.8449 2023/02/01 11:24:29 - mmengine - INFO - Epoch(train) [98][1080/1879] lr: 8.1094e-02 eta: 1 day, 17:59:46 time: 0.5020 data_time: 0.0303 memory: 18108 grad_norm: 3.1373 loss: 4.2354 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4094 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.8260 2023/02/01 11:24:39 - mmengine - INFO - Epoch(train) [98][1100/1879] lr: 8.1088e-02 eta: 1 day, 17:59:36 time: 0.5112 data_time: 0.0364 memory: 18108 grad_norm: 3.1484 loss: 4.4417 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.5492 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8925 2023/02/01 11:24:49 - mmengine - INFO - Epoch(train) [98][1120/1879] lr: 8.1082e-02 eta: 1 day, 17:59:26 time: 0.5045 data_time: 0.0312 memory: 18108 grad_norm: 3.2306 loss: 4.4243 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6830 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.7413 2023/02/01 11:25:00 - mmengine - INFO - Epoch(train) [98][1140/1879] lr: 8.1076e-02 eta: 1 day, 17:59:15 time: 0.5058 data_time: 0.0432 memory: 18108 grad_norm: 3.1950 loss: 4.2466 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.4355 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 1.8110 2023/02/01 11:25:10 - mmengine - INFO - Epoch(train) [98][1160/1879] lr: 8.1070e-02 eta: 1 day, 17:59:05 time: 0.5066 data_time: 0.0296 memory: 18108 grad_norm: 3.1919 loss: 4.2228 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.4576 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.7652 2023/02/01 11:25:20 - mmengine - INFO - Epoch(train) [98][1180/1879] lr: 8.1064e-02 eta: 1 day, 17:58:55 time: 0.5004 data_time: 0.0376 memory: 18108 grad_norm: 3.1059 loss: 4.4628 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5628 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.9000 2023/02/01 11:25:30 - mmengine - INFO - Epoch(train) [98][1200/1879] lr: 8.1058e-02 eta: 1 day, 17:58:44 time: 0.5036 data_time: 0.0350 memory: 18108 grad_norm: 3.0919 loss: 4.5226 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7216 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.8010 2023/02/01 11:25:40 - mmengine - INFO - Epoch(train) [98][1220/1879] lr: 8.1053e-02 eta: 1 day, 17:58:34 time: 0.5026 data_time: 0.0375 memory: 18108 grad_norm: 3.1509 loss: 4.2699 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5629 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.7071 2023/02/01 11:25:50 - mmengine - INFO - Epoch(train) [98][1240/1879] lr: 8.1047e-02 eta: 1 day, 17:58:24 time: 0.5049 data_time: 0.0287 memory: 18108 grad_norm: 3.1311 loss: 4.4151 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.5804 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.8346 2023/02/01 11:26:00 - mmengine - INFO - Epoch(train) [98][1260/1879] lr: 8.1041e-02 eta: 1 day, 17:58:13 time: 0.4867 data_time: 0.0363 memory: 18108 grad_norm: 3.1707 loss: 4.3291 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6426 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.6865 2023/02/01 11:26:10 - mmengine - INFO - Epoch(train) [98][1280/1879] lr: 8.1035e-02 eta: 1 day, 17:58:03 time: 0.5067 data_time: 0.0374 memory: 18108 grad_norm: 3.1779 loss: 4.5743 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7204 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.8539 2023/02/01 11:26:20 - mmengine - INFO - Epoch(train) [98][1300/1879] lr: 8.1029e-02 eta: 1 day, 17:57:52 time: 0.5003 data_time: 0.0395 memory: 18108 grad_norm: 3.1679 loss: 4.3502 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5350 top1_acc_1: 0.7294 top5_acc_1: 0.8353 loss_cls_1: 1.8152 2023/02/01 11:26:30 - mmengine - INFO - Epoch(train) [98][1320/1879] lr: 8.1023e-02 eta: 1 day, 17:57:42 time: 0.4960 data_time: 0.0287 memory: 18108 grad_norm: 3.0984 loss: 4.4414 top1_acc_0: 0.1250 top5_acc_0: 0.7500 loss_cls_0: 2.6332 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.8082 2023/02/01 11:26:40 - mmengine - INFO - Epoch(train) [98][1340/1879] lr: 8.1017e-02 eta: 1 day, 17:57:31 time: 0.5015 data_time: 0.0369 memory: 18108 grad_norm: 3.1187 loss: 4.3752 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5908 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.7844 2023/02/01 11:26:50 - mmengine - INFO - Epoch(train) [98][1360/1879] lr: 8.1011e-02 eta: 1 day, 17:57:21 time: 0.4943 data_time: 0.0329 memory: 18108 grad_norm: 3.0842 loss: 4.4505 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.5534 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.8970 2023/02/01 11:27:00 - mmengine - INFO - Epoch(train) [98][1380/1879] lr: 8.1005e-02 eta: 1 day, 17:57:11 time: 0.5090 data_time: 0.0398 memory: 18108 grad_norm: 3.1134 loss: 4.5204 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.6824 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8380 2023/02/01 11:27:10 - mmengine - INFO - Epoch(train) [98][1400/1879] lr: 8.0999e-02 eta: 1 day, 17:57:00 time: 0.4888 data_time: 0.0301 memory: 18108 grad_norm: 3.1226 loss: 4.3040 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4658 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.8382 2023/02/01 11:27:20 - mmengine - INFO - Epoch(train) [98][1420/1879] lr: 8.0993e-02 eta: 1 day, 17:56:50 time: 0.5144 data_time: 0.0467 memory: 18108 grad_norm: 3.0751 loss: 4.3335 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.4740 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.8595 2023/02/01 11:27:30 - mmengine - INFO - Epoch(train) [98][1440/1879] lr: 8.0988e-02 eta: 1 day, 17:56:39 time: 0.4858 data_time: 0.0312 memory: 18108 grad_norm: 3.1200 loss: 4.2624 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4009 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.8615 2023/02/01 11:27:40 - mmengine - INFO - Epoch(train) [98][1460/1879] lr: 8.0982e-02 eta: 1 day, 17:56:29 time: 0.5044 data_time: 0.0388 memory: 18108 grad_norm: 3.1310 loss: 4.4622 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6057 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8566 2023/02/01 11:27:50 - mmengine - INFO - Epoch(train) [98][1480/1879] lr: 8.0976e-02 eta: 1 day, 17:56:19 time: 0.5081 data_time: 0.0365 memory: 18108 grad_norm: 3.1021 loss: 4.3947 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6216 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.7731 2023/02/01 11:28:00 - mmengine - INFO - Epoch(train) [98][1500/1879] lr: 8.0970e-02 eta: 1 day, 17:56:08 time: 0.4912 data_time: 0.0382 memory: 18108 grad_norm: 3.0875 loss: 4.2836 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4023 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.8813 2023/02/01 11:28:10 - mmengine - INFO - Epoch(train) [98][1520/1879] lr: 8.0964e-02 eta: 1 day, 17:55:58 time: 0.5034 data_time: 0.0300 memory: 18108 grad_norm: 3.1717 loss: 4.4005 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6171 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.7834 2023/02/01 11:28:20 - mmengine - INFO - Epoch(train) [98][1540/1879] lr: 8.0958e-02 eta: 1 day, 17:55:48 time: 0.5084 data_time: 0.0431 memory: 18108 grad_norm: 3.0621 loss: 4.4314 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5150 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.9164 2023/02/01 11:28:30 - mmengine - INFO - Epoch(train) [98][1560/1879] lr: 8.0952e-02 eta: 1 day, 17:55:37 time: 0.5003 data_time: 0.0310 memory: 18108 grad_norm: 3.1090 loss: 4.4785 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6345 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.8439 2023/02/01 11:28:40 - mmengine - INFO - Epoch(train) [98][1580/1879] lr: 8.0946e-02 eta: 1 day, 17:55:27 time: 0.5000 data_time: 0.0377 memory: 18108 grad_norm: 3.1660 loss: 4.1006 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.2662 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8343 2023/02/01 11:28:51 - mmengine - INFO - Epoch(train) [98][1600/1879] lr: 8.0940e-02 eta: 1 day, 17:55:17 time: 0.5253 data_time: 0.0357 memory: 18108 grad_norm: 3.1610 loss: 4.6171 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7682 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 1.8489 2023/02/01 11:29:01 - mmengine - INFO - Epoch(train) [98][1620/1879] lr: 8.0934e-02 eta: 1 day, 17:55:07 time: 0.5029 data_time: 0.0395 memory: 18108 grad_norm: 3.1364 loss: 4.2393 top1_acc_0: 0.1875 top5_acc_0: 0.7500 loss_cls_0: 2.4288 top1_acc_1: 0.4588 top5_acc_1: 0.7765 loss_cls_1: 1.8105 2023/02/01 11:29:11 - mmengine - INFO - Epoch(train) [98][1640/1879] lr: 8.0928e-02 eta: 1 day, 17:54:57 time: 0.5023 data_time: 0.0307 memory: 18108 grad_norm: 3.1644 loss: 4.3324 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5076 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8248 2023/02/01 11:29:22 - mmengine - INFO - Epoch(train) [98][1660/1879] lr: 8.0923e-02 eta: 1 day, 17:54:47 time: 0.5333 data_time: 0.0378 memory: 18108 grad_norm: 3.1578 loss: 4.5270 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6685 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8585 2023/02/01 11:29:32 - mmengine - INFO - Epoch(train) [98][1680/1879] lr: 8.0917e-02 eta: 1 day, 17:54:37 time: 0.5089 data_time: 0.0359 memory: 18108 grad_norm: 3.1457 loss: 4.4032 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5775 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8257 2023/02/01 11:29:42 - mmengine - INFO - Epoch(train) [98][1700/1879] lr: 8.0911e-02 eta: 1 day, 17:54:27 time: 0.5173 data_time: 0.0350 memory: 18108 grad_norm: 3.1618 loss: 4.2682 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.4141 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.8541 2023/02/01 11:29:52 - mmengine - INFO - Epoch(train) [98][1720/1879] lr: 8.0905e-02 eta: 1 day, 17:54:17 time: 0.5104 data_time: 0.0276 memory: 18108 grad_norm: 3.1442 loss: 4.2982 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4731 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 1.8251 2023/02/01 11:30:01 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 11:30:03 - mmengine - INFO - Epoch(train) [98][1740/1879] lr: 8.0899e-02 eta: 1 day, 17:54:08 time: 0.5263 data_time: 0.0373 memory: 18108 grad_norm: 3.1324 loss: 4.2574 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.5159 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.7415 2023/02/01 11:30:13 - mmengine - INFO - Epoch(train) [98][1760/1879] lr: 8.0893e-02 eta: 1 day, 17:53:57 time: 0.5052 data_time: 0.0291 memory: 18108 grad_norm: 3.1278 loss: 4.0820 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3145 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.7675 2023/02/01 11:30:23 - mmengine - INFO - Epoch(train) [98][1780/1879] lr: 8.0887e-02 eta: 1 day, 17:53:47 time: 0.5065 data_time: 0.0389 memory: 18108 grad_norm: 3.1545 loss: 4.4612 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.5925 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.8687 2023/02/01 11:30:33 - mmengine - INFO - Epoch(train) [98][1800/1879] lr: 8.0881e-02 eta: 1 day, 17:53:37 time: 0.5168 data_time: 0.0287 memory: 18108 grad_norm: 3.1624 loss: 4.4269 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5085 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.9184 2023/02/01 11:30:44 - mmengine - INFO - Epoch(train) [98][1820/1879] lr: 8.0875e-02 eta: 1 day, 17:53:28 time: 0.5220 data_time: 0.0504 memory: 18108 grad_norm: 3.1761 loss: 4.6898 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7876 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.9022 2023/02/01 11:30:54 - mmengine - INFO - Epoch(train) [98][1840/1879] lr: 8.0869e-02 eta: 1 day, 17:53:17 time: 0.5099 data_time: 0.0286 memory: 18108 grad_norm: 3.1047 loss: 4.0815 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.2584 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8230 2023/02/01 11:31:04 - mmengine - INFO - Epoch(train) [98][1860/1879] lr: 8.0863e-02 eta: 1 day, 17:53:07 time: 0.5113 data_time: 0.0360 memory: 18108 grad_norm: 3.1402 loss: 4.2254 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.4314 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.7940 2023/02/01 11:31:14 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 11:31:14 - mmengine - INFO - Epoch(train) [98][1879/1879] lr: 8.0858e-02 eta: 1 day, 17:52:57 time: 0.4813 data_time: 0.0342 memory: 18108 grad_norm: 3.2539 loss: 4.4027 top1_acc_0: 0.2857 top5_acc_0: 0.4286 loss_cls_0: 2.5242 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.8785 2023/02/01 11:31:28 - mmengine - INFO - Epoch(train) [99][ 20/1879] lr: 8.0852e-02 eta: 1 day, 17:52:53 time: 0.7089 data_time: 0.2520 memory: 18108 grad_norm: 3.1145 loss: 4.2060 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 2.4044 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.8016 2023/02/01 11:31:38 - mmengine - INFO - Epoch(train) [99][ 40/1879] lr: 8.0846e-02 eta: 1 day, 17:52:42 time: 0.4687 data_time: 0.0328 memory: 18108 grad_norm: 3.1643 loss: 4.1758 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3353 top1_acc_1: 0.5529 top5_acc_1: 0.8706 loss_cls_1: 1.8405 2023/02/01 11:31:47 - mmengine - INFO - Epoch(train) [99][ 60/1879] lr: 8.0840e-02 eta: 1 day, 17:52:31 time: 0.4766 data_time: 0.0356 memory: 18108 grad_norm: 3.1600 loss: 4.0203 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3003 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.7200 2023/02/01 11:31:58 - mmengine - INFO - Epoch(train) [99][ 80/1879] lr: 8.0834e-02 eta: 1 day, 17:52:21 time: 0.5079 data_time: 0.0437 memory: 18108 grad_norm: 3.1453 loss: 4.4196 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5016 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.9179 2023/02/01 11:32:07 - mmengine - INFO - Epoch(train) [99][ 100/1879] lr: 8.0828e-02 eta: 1 day, 17:52:09 time: 0.4773 data_time: 0.0350 memory: 18108 grad_norm: 3.1738 loss: 4.3400 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5777 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.7623 2023/02/01 11:32:17 - mmengine - INFO - Epoch(train) [99][ 120/1879] lr: 8.0822e-02 eta: 1 day, 17:51:58 time: 0.4678 data_time: 0.0369 memory: 18108 grad_norm: 3.1662 loss: 4.1891 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.4608 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7283 2023/02/01 11:32:26 - mmengine - INFO - Epoch(train) [99][ 140/1879] lr: 8.0816e-02 eta: 1 day, 17:51:48 time: 0.4977 data_time: 0.0365 memory: 18108 grad_norm: 3.1342 loss: 4.4106 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6860 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.7246 2023/02/01 11:32:36 - mmengine - INFO - Epoch(train) [99][ 160/1879] lr: 8.0810e-02 eta: 1 day, 17:51:36 time: 0.4780 data_time: 0.0434 memory: 18108 grad_norm: 3.0690 loss: 4.2387 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4176 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.8212 2023/02/01 11:32:46 - mmengine - INFO - Epoch(train) [99][ 180/1879] lr: 8.0804e-02 eta: 1 day, 17:51:25 time: 0.4758 data_time: 0.0369 memory: 18108 grad_norm: 3.1880 loss: 4.4942 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6803 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8139 2023/02/01 11:32:55 - mmengine - INFO - Epoch(train) [99][ 200/1879] lr: 8.0798e-02 eta: 1 day, 17:51:14 time: 0.4712 data_time: 0.0366 memory: 18108 grad_norm: 3.2409 loss: 4.2567 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4371 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.8195 2023/02/01 11:33:05 - mmengine - INFO - Epoch(train) [99][ 220/1879] lr: 8.0792e-02 eta: 1 day, 17:51:03 time: 0.4977 data_time: 0.0427 memory: 18108 grad_norm: 3.1410 loss: 4.4353 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6244 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.8108 2023/02/01 11:33:14 - mmengine - INFO - Epoch(train) [99][ 240/1879] lr: 8.0786e-02 eta: 1 day, 17:50:52 time: 0.4754 data_time: 0.0353 memory: 18108 grad_norm: 3.0520 loss: 4.2673 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.4092 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.8581 2023/02/01 11:33:24 - mmengine - INFO - Epoch(train) [99][ 260/1879] lr: 8.0781e-02 eta: 1 day, 17:50:41 time: 0.4735 data_time: 0.0361 memory: 18108 grad_norm: 3.1994 loss: 4.2087 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5155 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.6932 2023/02/01 11:33:34 - mmengine - INFO - Epoch(train) [99][ 280/1879] lr: 8.0775e-02 eta: 1 day, 17:50:30 time: 0.4786 data_time: 0.0357 memory: 18108 grad_norm: 3.1525 loss: 4.1509 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4350 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.7159 2023/02/01 11:33:43 - mmengine - INFO - Epoch(train) [99][ 300/1879] lr: 8.0769e-02 eta: 1 day, 17:50:19 time: 0.4920 data_time: 0.0411 memory: 18108 grad_norm: 3.1915 loss: 4.3524 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.4944 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.8580 2023/02/01 11:33:53 - mmengine - INFO - Epoch(train) [99][ 320/1879] lr: 8.0763e-02 eta: 1 day, 17:50:08 time: 0.4750 data_time: 0.0329 memory: 18108 grad_norm: 3.1753 loss: 4.3087 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5151 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.7935 2023/02/01 11:34:03 - mmengine - INFO - Epoch(train) [99][ 340/1879] lr: 8.0757e-02 eta: 1 day, 17:49:57 time: 0.4914 data_time: 0.0360 memory: 18108 grad_norm: 3.1618 loss: 4.4226 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6077 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8149 2023/02/01 11:34:12 - mmengine - INFO - Epoch(train) [99][ 360/1879] lr: 8.0751e-02 eta: 1 day, 17:49:46 time: 0.4785 data_time: 0.0342 memory: 18108 grad_norm: 3.1010 loss: 4.2990 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5294 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7696 2023/02/01 11:34:22 - mmengine - INFO - Epoch(train) [99][ 380/1879] lr: 8.0745e-02 eta: 1 day, 17:49:36 time: 0.4949 data_time: 0.0448 memory: 18108 grad_norm: 3.0919 loss: 4.1603 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4258 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.7345 2023/02/01 11:34:32 - mmengine - INFO - Epoch(train) [99][ 400/1879] lr: 8.0739e-02 eta: 1 day, 17:49:25 time: 0.4817 data_time: 0.0340 memory: 18108 grad_norm: 3.2248 loss: 4.2026 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4797 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 1.7229 2023/02/01 11:34:42 - mmengine - INFO - Epoch(train) [99][ 420/1879] lr: 8.0733e-02 eta: 1 day, 17:49:14 time: 0.5027 data_time: 0.0343 memory: 18108 grad_norm: 3.2008 loss: 4.2258 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.3405 top1_acc_1: 0.4941 top5_acc_1: 0.8118 loss_cls_1: 1.8853 2023/02/01 11:34:52 - mmengine - INFO - Epoch(train) [99][ 440/1879] lr: 8.0727e-02 eta: 1 day, 17:49:04 time: 0.4961 data_time: 0.0403 memory: 18108 grad_norm: 3.1693 loss: 4.2033 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4174 top1_acc_1: 0.4941 top5_acc_1: 0.8235 loss_cls_1: 1.7859 2023/02/01 11:35:02 - mmengine - INFO - Epoch(train) [99][ 460/1879] lr: 8.0721e-02 eta: 1 day, 17:48:53 time: 0.4902 data_time: 0.0383 memory: 18108 grad_norm: 3.0473 loss: 4.4395 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6324 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 1.8071 2023/02/01 11:35:12 - mmengine - INFO - Epoch(train) [99][ 480/1879] lr: 8.0715e-02 eta: 1 day, 17:48:42 time: 0.4887 data_time: 0.0342 memory: 18108 grad_norm: 3.1420 loss: 4.5060 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6466 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8594 2023/02/01 11:35:21 - mmengine - INFO - Epoch(train) [99][ 500/1879] lr: 8.0709e-02 eta: 1 day, 17:48:32 time: 0.4974 data_time: 0.0376 memory: 18108 grad_norm: 3.1538 loss: 4.3497 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4579 top1_acc_1: 0.6588 top5_acc_1: 0.7294 loss_cls_1: 1.8919 2023/02/01 11:35:31 - mmengine - INFO - Epoch(train) [99][ 520/1879] lr: 8.0703e-02 eta: 1 day, 17:48:21 time: 0.4898 data_time: 0.0397 memory: 18108 grad_norm: 3.1346 loss: 4.3810 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5491 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 1.8319 2023/02/01 11:35:41 - mmengine - INFO - Epoch(train) [99][ 540/1879] lr: 8.0697e-02 eta: 1 day, 17:48:11 time: 0.4995 data_time: 0.0350 memory: 18108 grad_norm: 3.1825 loss: 4.3195 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.4445 top1_acc_1: 0.4824 top5_acc_1: 0.8000 loss_cls_1: 1.8750 2023/02/01 11:35:51 - mmengine - INFO - Epoch(train) [99][ 560/1879] lr: 8.0691e-02 eta: 1 day, 17:48:00 time: 0.4906 data_time: 0.0349 memory: 18108 grad_norm: 3.1172 loss: 4.3505 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5791 top1_acc_1: 0.6118 top5_acc_1: 0.9059 loss_cls_1: 1.7714 2023/02/01 11:36:01 - mmengine - INFO - Epoch(train) [99][ 580/1879] lr: 8.0686e-02 eta: 1 day, 17:47:50 time: 0.5027 data_time: 0.0366 memory: 18108 grad_norm: 3.1230 loss: 4.2129 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3919 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8210 2023/02/01 11:36:11 - mmengine - INFO - Epoch(train) [99][ 600/1879] lr: 8.0680e-02 eta: 1 day, 17:47:38 time: 0.4759 data_time: 0.0340 memory: 18108 grad_norm: 3.1766 loss: 4.6408 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7832 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.8575 2023/02/01 11:36:21 - mmengine - INFO - Epoch(train) [99][ 620/1879] lr: 8.0674e-02 eta: 1 day, 17:47:28 time: 0.5024 data_time: 0.0356 memory: 18108 grad_norm: 3.2091 loss: 4.3589 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.5211 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.8378 2023/02/01 11:36:31 - mmengine - INFO - Epoch(train) [99][ 640/1879] lr: 8.0668e-02 eta: 1 day, 17:47:18 time: 0.4981 data_time: 0.0330 memory: 18108 grad_norm: 3.1731 loss: 4.4607 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5922 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8685 2023/02/01 11:36:41 - mmengine - INFO - Epoch(train) [99][ 660/1879] lr: 8.0662e-02 eta: 1 day, 17:47:07 time: 0.4910 data_time: 0.0332 memory: 18108 grad_norm: 3.0724 loss: 4.4409 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.6035 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8374 2023/02/01 11:36:50 - mmengine - INFO - Epoch(train) [99][ 680/1879] lr: 8.0656e-02 eta: 1 day, 17:46:56 time: 0.4862 data_time: 0.0360 memory: 18108 grad_norm: 3.2180 loss: 4.5123 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6500 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8623 2023/02/01 11:37:00 - mmengine - INFO - Epoch(train) [99][ 700/1879] lr: 8.0650e-02 eta: 1 day, 17:46:46 time: 0.5040 data_time: 0.0365 memory: 18108 grad_norm: 3.1283 loss: 4.2993 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4937 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8056 2023/02/01 11:37:10 - mmengine - INFO - Epoch(train) [99][ 720/1879] lr: 8.0644e-02 eta: 1 day, 17:46:35 time: 0.4904 data_time: 0.0400 memory: 18108 grad_norm: 3.1579 loss: 4.4974 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6554 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8419 2023/02/01 11:37:20 - mmengine - INFO - Epoch(train) [99][ 740/1879] lr: 8.0638e-02 eta: 1 day, 17:46:24 time: 0.4924 data_time: 0.0351 memory: 18108 grad_norm: 3.2059 loss: 4.3226 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4372 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8854 2023/02/01 11:37:30 - mmengine - INFO - Epoch(train) [99][ 760/1879] lr: 8.0632e-02 eta: 1 day, 17:46:14 time: 0.5052 data_time: 0.0334 memory: 18108 grad_norm: 3.1437 loss: 4.6555 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.7828 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8726 2023/02/01 11:37:40 - mmengine - INFO - Epoch(train) [99][ 780/1879] lr: 8.0626e-02 eta: 1 day, 17:46:04 time: 0.5110 data_time: 0.0359 memory: 18108 grad_norm: 3.1299 loss: 4.2186 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4442 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.7745 2023/02/01 11:37:50 - mmengine - INFO - Epoch(train) [99][ 800/1879] lr: 8.0620e-02 eta: 1 day, 17:45:54 time: 0.5013 data_time: 0.0408 memory: 18108 grad_norm: 3.1831 loss: 4.3031 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4305 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8726 2023/02/01 11:38:01 - mmengine - INFO - Epoch(train) [99][ 820/1879] lr: 8.0614e-02 eta: 1 day, 17:45:44 time: 0.5098 data_time: 0.0355 memory: 18108 grad_norm: 3.1925 loss: 4.4602 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6616 top1_acc_1: 0.5882 top5_acc_1: 0.7294 loss_cls_1: 1.7986 2023/02/01 11:38:11 - mmengine - INFO - Epoch(train) [99][ 840/1879] lr: 8.0608e-02 eta: 1 day, 17:45:33 time: 0.5044 data_time: 0.0326 memory: 18108 grad_norm: 3.1348 loss: 4.3842 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5407 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.8434 2023/02/01 11:38:20 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 11:38:21 - mmengine - INFO - Epoch(train) [99][ 860/1879] lr: 8.0602e-02 eta: 1 day, 17:45:23 time: 0.5011 data_time: 0.0428 memory: 18108 grad_norm: 3.1342 loss: 4.4909 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6533 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8377 2023/02/01 11:38:31 - mmengine - INFO - Epoch(train) [99][ 880/1879] lr: 8.0596e-02 eta: 1 day, 17:45:12 time: 0.4885 data_time: 0.0385 memory: 18108 grad_norm: 3.1512 loss: 4.4474 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.5808 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.8666 2023/02/01 11:38:41 - mmengine - INFO - Epoch(train) [99][ 900/1879] lr: 8.0590e-02 eta: 1 day, 17:45:02 time: 0.5121 data_time: 0.0327 memory: 18108 grad_norm: 3.1672 loss: 4.0204 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2345 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.7859 2023/02/01 11:38:51 - mmengine - INFO - Epoch(train) [99][ 920/1879] lr: 8.0584e-02 eta: 1 day, 17:44:51 time: 0.4887 data_time: 0.0322 memory: 18108 grad_norm: 3.1582 loss: 4.2954 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4744 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8210 2023/02/01 11:39:00 - mmengine - INFO - Epoch(train) [99][ 940/1879] lr: 8.0578e-02 eta: 1 day, 17:44:41 time: 0.4921 data_time: 0.0353 memory: 18108 grad_norm: 3.1150 loss: 4.6264 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7574 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.8689 2023/02/01 11:39:10 - mmengine - INFO - Epoch(train) [99][ 960/1879] lr: 8.0572e-02 eta: 1 day, 17:44:30 time: 0.4984 data_time: 0.0341 memory: 18108 grad_norm: 3.1231 loss: 4.2647 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4267 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.8380 2023/02/01 11:39:20 - mmengine - INFO - Epoch(train) [99][ 980/1879] lr: 8.0566e-02 eta: 1 day, 17:44:20 time: 0.4946 data_time: 0.0359 memory: 18108 grad_norm: 3.1599 loss: 4.3381 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4796 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.8585 2023/02/01 11:39:30 - mmengine - INFO - Epoch(train) [99][1000/1879] lr: 8.0560e-02 eta: 1 day, 17:44:09 time: 0.4870 data_time: 0.0375 memory: 18108 grad_norm: 3.1914 loss: 4.2994 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.5387 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.7606 2023/02/01 11:39:40 - mmengine - INFO - Epoch(train) [99][1020/1879] lr: 8.0555e-02 eta: 1 day, 17:43:59 time: 0.5003 data_time: 0.0376 memory: 18108 grad_norm: 3.1881 loss: 4.4564 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6320 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.8244 2023/02/01 11:39:50 - mmengine - INFO - Epoch(train) [99][1040/1879] lr: 8.0549e-02 eta: 1 day, 17:43:48 time: 0.5013 data_time: 0.0306 memory: 18108 grad_norm: 3.1255 loss: 4.1030 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3001 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8029 2023/02/01 11:40:00 - mmengine - INFO - Epoch(train) [99][1060/1879] lr: 8.0543e-02 eta: 1 day, 17:43:38 time: 0.4986 data_time: 0.0431 memory: 18108 grad_norm: 3.0812 loss: 4.1907 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.3461 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.8447 2023/02/01 11:40:10 - mmengine - INFO - Epoch(train) [99][1080/1879] lr: 8.0537e-02 eta: 1 day, 17:43:27 time: 0.4885 data_time: 0.0292 memory: 18108 grad_norm: 3.1835 loss: 4.4785 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.5992 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8793 2023/02/01 11:40:20 - mmengine - INFO - Epoch(train) [99][1100/1879] lr: 8.0531e-02 eta: 1 day, 17:43:17 time: 0.5054 data_time: 0.0352 memory: 18108 grad_norm: 3.1354 loss: 4.2830 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.4775 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.8055 2023/02/01 11:40:30 - mmengine - INFO - Epoch(train) [99][1120/1879] lr: 8.0525e-02 eta: 1 day, 17:43:06 time: 0.4872 data_time: 0.0321 memory: 18108 grad_norm: 3.1396 loss: 4.1702 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4126 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7576 2023/02/01 11:40:40 - mmengine - INFO - Epoch(train) [99][1140/1879] lr: 8.0519e-02 eta: 1 day, 17:42:56 time: 0.5127 data_time: 0.0467 memory: 18108 grad_norm: 3.1849 loss: 4.2745 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5151 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7595 2023/02/01 11:40:50 - mmengine - INFO - Epoch(train) [99][1160/1879] lr: 8.0513e-02 eta: 1 day, 17:42:45 time: 0.4814 data_time: 0.0318 memory: 18108 grad_norm: 3.1042 loss: 4.3089 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4630 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.8459 2023/02/01 11:41:00 - mmengine - INFO - Epoch(train) [99][1180/1879] lr: 8.0507e-02 eta: 1 day, 17:42:35 time: 0.5097 data_time: 0.0334 memory: 18108 grad_norm: 3.2166 loss: 4.5755 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.8047 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.7708 2023/02/01 11:41:10 - mmengine - INFO - Epoch(train) [99][1200/1879] lr: 8.0501e-02 eta: 1 day, 17:42:24 time: 0.4918 data_time: 0.0350 memory: 18108 grad_norm: 3.1767 loss: 4.1570 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.3459 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.8112 2023/02/01 11:41:20 - mmengine - INFO - Epoch(train) [99][1220/1879] lr: 8.0495e-02 eta: 1 day, 17:42:14 time: 0.4954 data_time: 0.0355 memory: 18108 grad_norm: 3.1544 loss: 4.2917 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4524 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8393 2023/02/01 11:41:30 - mmengine - INFO - Epoch(train) [99][1240/1879] lr: 8.0489e-02 eta: 1 day, 17:42:03 time: 0.4999 data_time: 0.0347 memory: 18108 grad_norm: 3.2103 loss: 4.1757 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3073 top1_acc_1: 0.5412 top5_acc_1: 0.6941 loss_cls_1: 1.8685 2023/02/01 11:41:40 - mmengine - INFO - Epoch(train) [99][1260/1879] lr: 8.0483e-02 eta: 1 day, 17:41:53 time: 0.4936 data_time: 0.0409 memory: 18108 grad_norm: 3.1936 loss: 4.4904 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5874 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.9030 2023/02/01 11:41:49 - mmengine - INFO - Epoch(train) [99][1280/1879] lr: 8.0477e-02 eta: 1 day, 17:41:42 time: 0.4929 data_time: 0.0366 memory: 18108 grad_norm: 3.1406 loss: 4.3633 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.4759 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8875 2023/02/01 11:41:59 - mmengine - INFO - Epoch(train) [99][1300/1879] lr: 8.0471e-02 eta: 1 day, 17:41:32 time: 0.4988 data_time: 0.0334 memory: 18108 grad_norm: 3.1234 loss: 4.1375 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2883 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.8492 2023/02/01 11:42:10 - mmengine - INFO - Epoch(train) [99][1320/1879] lr: 8.0465e-02 eta: 1 day, 17:41:22 time: 0.5124 data_time: 0.0371 memory: 18108 grad_norm: 3.1886 loss: 4.5635 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7240 top1_acc_1: 0.5176 top5_acc_1: 0.8353 loss_cls_1: 1.8395 2023/02/01 11:42:20 - mmengine - INFO - Epoch(train) [99][1340/1879] lr: 8.0459e-02 eta: 1 day, 17:41:11 time: 0.5107 data_time: 0.0404 memory: 18108 grad_norm: 3.1066 loss: 4.0868 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3021 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.7847 2023/02/01 11:42:30 - mmengine - INFO - Epoch(train) [99][1360/1879] lr: 8.0453e-02 eta: 1 day, 17:41:01 time: 0.5132 data_time: 0.0360 memory: 18108 grad_norm: 3.1834 loss: 4.4838 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6249 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.8589 2023/02/01 11:42:40 - mmengine - INFO - Epoch(train) [99][1380/1879] lr: 8.0447e-02 eta: 1 day, 17:40:51 time: 0.5107 data_time: 0.0331 memory: 18108 grad_norm: 3.0479 loss: 4.3897 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.5623 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 1.8274 2023/02/01 11:42:51 - mmengine - INFO - Epoch(train) [99][1400/1879] lr: 8.0441e-02 eta: 1 day, 17:40:42 time: 0.5201 data_time: 0.0422 memory: 18108 grad_norm: 3.1126 loss: 4.2164 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4479 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.7685 2023/02/01 11:43:01 - mmengine - INFO - Epoch(train) [99][1420/1879] lr: 8.0435e-02 eta: 1 day, 17:40:31 time: 0.5049 data_time: 0.0334 memory: 18108 grad_norm: 3.1592 loss: 4.5094 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6120 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.8973 2023/02/01 11:43:11 - mmengine - INFO - Epoch(train) [99][1440/1879] lr: 8.0429e-02 eta: 1 day, 17:40:22 time: 0.5228 data_time: 0.0349 memory: 18108 grad_norm: 3.1912 loss: 4.1408 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2590 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8818 2023/02/01 11:43:21 - mmengine - INFO - Epoch(train) [99][1460/1879] lr: 8.0423e-02 eta: 1 day, 17:40:11 time: 0.4998 data_time: 0.0356 memory: 18108 grad_norm: 3.0930 loss: 4.5358 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6473 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.8885 2023/02/01 11:43:32 - mmengine - INFO - Epoch(train) [99][1480/1879] lr: 8.0417e-02 eta: 1 day, 17:40:02 time: 0.5225 data_time: 0.0408 memory: 18108 grad_norm: 3.0832 loss: 4.3711 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5325 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.8386 2023/02/01 11:43:42 - mmengine - INFO - Epoch(train) [99][1500/1879] lr: 8.0411e-02 eta: 1 day, 17:39:52 time: 0.5166 data_time: 0.0332 memory: 18108 grad_norm: 3.1995 loss: 4.3804 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5432 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.8372 2023/02/01 11:43:53 - mmengine - INFO - Epoch(train) [99][1520/1879] lr: 8.0405e-02 eta: 1 day, 17:39:42 time: 0.5132 data_time: 0.0363 memory: 18108 grad_norm: 3.1533 loss: 4.3046 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5300 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.7746 2023/02/01 11:44:03 - mmengine - INFO - Epoch(train) [99][1540/1879] lr: 8.0399e-02 eta: 1 day, 17:39:32 time: 0.5120 data_time: 0.0382 memory: 18108 grad_norm: 3.2009 loss: 4.5002 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5877 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.9125 2023/02/01 11:44:13 - mmengine - INFO - Epoch(train) [99][1560/1879] lr: 8.0393e-02 eta: 1 day, 17:39:22 time: 0.5129 data_time: 0.0334 memory: 18108 grad_norm: 3.1621 loss: 4.2353 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.4841 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.7512 2023/02/01 11:44:23 - mmengine - INFO - Epoch(train) [99][1580/1879] lr: 8.0387e-02 eta: 1 day, 17:39:12 time: 0.5169 data_time: 0.0333 memory: 18108 grad_norm: 3.1616 loss: 4.4800 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6384 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.8416 2023/02/01 11:44:34 - mmengine - INFO - Epoch(train) [99][1600/1879] lr: 8.0381e-02 eta: 1 day, 17:39:02 time: 0.5080 data_time: 0.0351 memory: 18108 grad_norm: 3.1457 loss: 4.4159 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5260 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8899 2023/02/01 11:44:44 - mmengine - INFO - Epoch(train) [99][1620/1879] lr: 8.0375e-02 eta: 1 day, 17:38:52 time: 0.5073 data_time: 0.0351 memory: 18108 grad_norm: 3.1435 loss: 4.4258 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.5334 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 1.8924 2023/02/01 11:44:54 - mmengine - INFO - Epoch(train) [99][1640/1879] lr: 8.0369e-02 eta: 1 day, 17:38:42 time: 0.5295 data_time: 0.0342 memory: 18108 grad_norm: 3.1539 loss: 4.2936 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5464 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.7471 2023/02/01 11:45:04 - mmengine - INFO - Epoch(train) [99][1660/1879] lr: 8.0363e-02 eta: 1 day, 17:38:32 time: 0.5052 data_time: 0.0326 memory: 18108 grad_norm: 3.2274 loss: 4.5156 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6923 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.8233 2023/02/01 11:45:15 - mmengine - INFO - Epoch(train) [99][1680/1879] lr: 8.0357e-02 eta: 1 day, 17:38:22 time: 0.5185 data_time: 0.0430 memory: 18108 grad_norm: 3.1442 loss: 4.3728 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5307 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8421 2023/02/01 11:45:25 - mmengine - INFO - Epoch(train) [99][1700/1879] lr: 8.0351e-02 eta: 1 day, 17:38:12 time: 0.5152 data_time: 0.0294 memory: 18108 grad_norm: 3.1235 loss: 4.1614 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4038 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.7576 2023/02/01 11:45:36 - mmengine - INFO - Epoch(train) [99][1720/1879] lr: 8.0345e-02 eta: 1 day, 17:38:02 time: 0.5214 data_time: 0.0393 memory: 18108 grad_norm: 3.1771 loss: 4.2515 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3550 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8965 2023/02/01 11:45:46 - mmengine - INFO - Epoch(train) [99][1740/1879] lr: 8.0339e-02 eta: 1 day, 17:37:52 time: 0.5026 data_time: 0.0412 memory: 18108 grad_norm: 3.1070 loss: 4.0344 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.2156 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8188 2023/02/01 11:45:56 - mmengine - INFO - Epoch(train) [99][1760/1879] lr: 8.0333e-02 eta: 1 day, 17:37:42 time: 0.5151 data_time: 0.0360 memory: 18108 grad_norm: 3.1328 loss: 4.3624 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.5471 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.8153 2023/02/01 11:46:06 - mmengine - INFO - Epoch(train) [99][1780/1879] lr: 8.0327e-02 eta: 1 day, 17:37:32 time: 0.5031 data_time: 0.0318 memory: 18108 grad_norm: 3.1841 loss: 4.3830 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6224 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.7606 2023/02/01 11:46:17 - mmengine - INFO - Epoch(train) [99][1800/1879] lr: 8.0322e-02 eta: 1 day, 17:37:22 time: 0.5265 data_time: 0.0462 memory: 18108 grad_norm: 3.1484 loss: 4.3763 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4964 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.8798 2023/02/01 11:46:27 - mmengine - INFO - Epoch(train) [99][1820/1879] lr: 8.0316e-02 eta: 1 day, 17:37:12 time: 0.5058 data_time: 0.0303 memory: 18108 grad_norm: 3.1744 loss: 4.3062 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5264 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.7797 2023/02/01 11:46:37 - mmengine - INFO - Epoch(train) [99][1840/1879] lr: 8.0310e-02 eta: 1 day, 17:37:02 time: 0.5216 data_time: 0.0369 memory: 18108 grad_norm: 3.1519 loss: 4.5220 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6884 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8335 2023/02/01 11:46:46 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 11:46:47 - mmengine - INFO - Epoch(train) [99][1860/1879] lr: 8.0304e-02 eta: 1 day, 17:36:52 time: 0.5065 data_time: 0.0360 memory: 18108 grad_norm: 3.1335 loss: 4.4215 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.5744 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.8472 2023/02/01 11:46:56 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 11:46:56 - mmengine - INFO - Epoch(train) [99][1879/1879] lr: 8.0298e-02 eta: 1 day, 17:36:42 time: 0.4808 data_time: 0.0319 memory: 18108 grad_norm: 3.2089 loss: 4.5459 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 2.7145 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8315 2023/02/01 11:47:11 - mmengine - INFO - Epoch(train) [100][ 20/1879] lr: 8.0292e-02 eta: 1 day, 17:36:38 time: 0.7073 data_time: 0.2596 memory: 18108 grad_norm: 3.1032 loss: 4.1560 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3615 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.7945 2023/02/01 11:47:21 - mmengine - INFO - Epoch(train) [100][ 40/1879] lr: 8.0286e-02 eta: 1 day, 17:36:27 time: 0.4718 data_time: 0.0358 memory: 18108 grad_norm: 3.0999 loss: 4.2478 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.4767 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7711 2023/02/01 11:47:30 - mmengine - INFO - Epoch(train) [100][ 60/1879] lr: 8.0280e-02 eta: 1 day, 17:36:16 time: 0.4794 data_time: 0.0327 memory: 18108 grad_norm: 3.1814 loss: 4.4675 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7125 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.7551 2023/02/01 11:47:41 - mmengine - INFO - Epoch(train) [100][ 80/1879] lr: 8.0274e-02 eta: 1 day, 17:36:05 time: 0.5069 data_time: 0.0431 memory: 18108 grad_norm: 3.0974 loss: 4.3533 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6279 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.7254 2023/02/01 11:47:50 - mmengine - INFO - Epoch(train) [100][ 100/1879] lr: 8.0268e-02 eta: 1 day, 17:35:54 time: 0.4749 data_time: 0.0375 memory: 18108 grad_norm: 3.1740 loss: 4.4932 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6399 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.8532 2023/02/01 11:47:59 - mmengine - INFO - Epoch(train) [100][ 120/1879] lr: 8.0262e-02 eta: 1 day, 17:35:43 time: 0.4677 data_time: 0.0350 memory: 18108 grad_norm: 3.1205 loss: 4.0280 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2437 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7843 2023/02/01 11:48:09 - mmengine - INFO - Epoch(train) [100][ 140/1879] lr: 8.0256e-02 eta: 1 day, 17:35:32 time: 0.4865 data_time: 0.0451 memory: 18108 grad_norm: 3.1467 loss: 4.1288 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2955 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8332 2023/02/01 11:48:19 - mmengine - INFO - Epoch(train) [100][ 160/1879] lr: 8.0250e-02 eta: 1 day, 17:35:21 time: 0.4980 data_time: 0.0342 memory: 18108 grad_norm: 3.1461 loss: 4.1275 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.3812 top1_acc_1: 0.5529 top5_acc_1: 0.6824 loss_cls_1: 1.7463 2023/02/01 11:48:29 - mmengine - INFO - Epoch(train) [100][ 180/1879] lr: 8.0244e-02 eta: 1 day, 17:35:10 time: 0.4796 data_time: 0.0350 memory: 18108 grad_norm: 3.1567 loss: 4.2956 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5033 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.7923 2023/02/01 11:48:38 - mmengine - INFO - Epoch(train) [100][ 200/1879] lr: 8.0238e-02 eta: 1 day, 17:34:59 time: 0.4817 data_time: 0.0334 memory: 18108 grad_norm: 3.1629 loss: 4.3799 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.5656 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8143 2023/02/01 11:48:49 - mmengine - INFO - Epoch(train) [100][ 220/1879] lr: 8.0232e-02 eta: 1 day, 17:34:49 time: 0.5126 data_time: 0.0388 memory: 18108 grad_norm: 3.1601 loss: 4.0099 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2010 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8090 2023/02/01 11:48:58 - mmengine - INFO - Epoch(train) [100][ 240/1879] lr: 8.0226e-02 eta: 1 day, 17:34:39 time: 0.4907 data_time: 0.0316 memory: 18108 grad_norm: 3.1090 loss: 4.2512 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4192 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.8319 2023/02/01 11:49:08 - mmengine - INFO - Epoch(train) [100][ 260/1879] lr: 8.0220e-02 eta: 1 day, 17:34:28 time: 0.4815 data_time: 0.0380 memory: 18108 grad_norm: 3.1681 loss: 4.2294 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.4484 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7811 2023/02/01 11:49:18 - mmengine - INFO - Epoch(train) [100][ 280/1879] lr: 8.0214e-02 eta: 1 day, 17:34:17 time: 0.4897 data_time: 0.0321 memory: 18108 grad_norm: 3.1361 loss: 4.3118 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.5493 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.7625 2023/02/01 11:49:28 - mmengine - INFO - Epoch(train) [100][ 300/1879] lr: 8.0208e-02 eta: 1 day, 17:34:07 time: 0.5109 data_time: 0.0438 memory: 18108 grad_norm: 3.0680 loss: 4.2689 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.4422 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8267 2023/02/01 11:49:38 - mmengine - INFO - Epoch(train) [100][ 320/1879] lr: 8.0202e-02 eta: 1 day, 17:33:56 time: 0.4964 data_time: 0.0327 memory: 18108 grad_norm: 3.1410 loss: 4.3032 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4534 top1_acc_1: 0.4471 top5_acc_1: 0.7882 loss_cls_1: 1.8498 2023/02/01 11:49:48 - mmengine - INFO - Epoch(train) [100][ 340/1879] lr: 8.0196e-02 eta: 1 day, 17:33:46 time: 0.4938 data_time: 0.0379 memory: 18108 grad_norm: 3.1583 loss: 4.2717 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4737 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7980 2023/02/01 11:49:58 - mmengine - INFO - Epoch(train) [100][ 360/1879] lr: 8.0190e-02 eta: 1 day, 17:33:35 time: 0.5032 data_time: 0.0356 memory: 18108 grad_norm: 3.2138 loss: 4.1721 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3360 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8362 2023/02/01 11:50:08 - mmengine - INFO - Epoch(train) [100][ 380/1879] lr: 8.0184e-02 eta: 1 day, 17:33:25 time: 0.4909 data_time: 0.0335 memory: 18108 grad_norm: 3.1657 loss: 4.3113 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5595 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 1.7518 2023/02/01 11:50:18 - mmengine - INFO - Epoch(train) [100][ 400/1879] lr: 8.0178e-02 eta: 1 day, 17:33:14 time: 0.4971 data_time: 0.0334 memory: 18108 grad_norm: 3.1691 loss: 4.2219 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4112 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.8107 2023/02/01 11:50:28 - mmengine - INFO - Epoch(train) [100][ 420/1879] lr: 8.0172e-02 eta: 1 day, 17:33:04 time: 0.4883 data_time: 0.0341 memory: 18108 grad_norm: 3.1501 loss: 4.0770 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2512 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8258 2023/02/01 11:50:38 - mmengine - INFO - Epoch(train) [100][ 440/1879] lr: 8.0166e-02 eta: 1 day, 17:32:53 time: 0.5080 data_time: 0.0411 memory: 18108 grad_norm: 3.2329 loss: 4.4496 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.5107 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.9388 2023/02/01 11:50:48 - mmengine - INFO - Epoch(train) [100][ 460/1879] lr: 8.0160e-02 eta: 1 day, 17:32:43 time: 0.4945 data_time: 0.0365 memory: 18108 grad_norm: 3.1203 loss: 4.1952 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3507 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.8445 2023/02/01 11:50:58 - mmengine - INFO - Epoch(train) [100][ 480/1879] lr: 8.0154e-02 eta: 1 day, 17:32:32 time: 0.4944 data_time: 0.0323 memory: 18108 grad_norm: 3.1825 loss: 4.3357 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5175 top1_acc_1: 0.6824 top5_acc_1: 0.8000 loss_cls_1: 1.8182 2023/02/01 11:51:08 - mmengine - INFO - Epoch(train) [100][ 500/1879] lr: 8.0148e-02 eta: 1 day, 17:32:22 time: 0.5043 data_time: 0.0418 memory: 18108 grad_norm: 3.2157 loss: 4.3264 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.4554 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.8711 2023/02/01 11:51:18 - mmengine - INFO - Epoch(train) [100][ 520/1879] lr: 8.0142e-02 eta: 1 day, 17:32:12 time: 0.5012 data_time: 0.0330 memory: 18108 grad_norm: 3.1835 loss: 4.2958 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.4181 top1_acc_1: 0.5412 top5_acc_1: 0.8706 loss_cls_1: 1.8778 2023/02/01 11:51:27 - mmengine - INFO - Epoch(train) [100][ 540/1879] lr: 8.0136e-02 eta: 1 day, 17:32:01 time: 0.4888 data_time: 0.0336 memory: 18108 grad_norm: 3.1836 loss: 4.3314 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5395 top1_acc_1: 0.6118 top5_acc_1: 0.7412 loss_cls_1: 1.7918 2023/02/01 11:51:38 - mmengine - INFO - Epoch(train) [100][ 560/1879] lr: 8.0130e-02 eta: 1 day, 17:31:51 time: 0.5087 data_time: 0.0384 memory: 18108 grad_norm: 3.1423 loss: 4.3005 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5171 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.7833 2023/02/01 11:51:48 - mmengine - INFO - Epoch(train) [100][ 580/1879] lr: 8.0124e-02 eta: 1 day, 17:31:40 time: 0.4956 data_time: 0.0345 memory: 18108 grad_norm: 3.1499 loss: 4.1038 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3210 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7828 2023/02/01 11:51:57 - mmengine - INFO - Epoch(train) [100][ 600/1879] lr: 8.0118e-02 eta: 1 day, 17:31:30 time: 0.4928 data_time: 0.0310 memory: 18108 grad_norm: 3.1540 loss: 4.1934 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4155 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.7779 2023/02/01 11:52:07 - mmengine - INFO - Epoch(train) [100][ 620/1879] lr: 8.0112e-02 eta: 1 day, 17:31:19 time: 0.4897 data_time: 0.0338 memory: 18108 grad_norm: 3.2103 loss: 4.5460 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7322 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8138 2023/02/01 11:52:17 - mmengine - INFO - Epoch(train) [100][ 640/1879] lr: 8.0106e-02 eta: 1 day, 17:31:08 time: 0.5005 data_time: 0.0382 memory: 18108 grad_norm: 3.1279 loss: 4.0630 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3328 top1_acc_1: 0.5765 top5_acc_1: 0.8824 loss_cls_1: 1.7302 2023/02/01 11:52:27 - mmengine - INFO - Epoch(train) [100][ 660/1879] lr: 8.0100e-02 eta: 1 day, 17:30:58 time: 0.4917 data_time: 0.0346 memory: 18108 grad_norm: 3.1643 loss: 4.2512 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 2.5062 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.7450 2023/02/01 11:52:37 - mmengine - INFO - Epoch(train) [100][ 680/1879] lr: 8.0094e-02 eta: 1 day, 17:30:47 time: 0.4921 data_time: 0.0349 memory: 18108 grad_norm: 3.1838 loss: 4.3757 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.6553 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.7204 2023/02/01 11:52:47 - mmengine - INFO - Epoch(train) [100][ 700/1879] lr: 8.0088e-02 eta: 1 day, 17:30:37 time: 0.5114 data_time: 0.0455 memory: 18108 grad_norm: 3.1475 loss: 4.0933 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3749 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7184 2023/02/01 11:52:57 - mmengine - INFO - Epoch(train) [100][ 720/1879] lr: 8.0082e-02 eta: 1 day, 17:30:27 time: 0.4990 data_time: 0.0329 memory: 18108 grad_norm: 3.2040 loss: 4.2277 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4708 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.7570 2023/02/01 11:53:07 - mmengine - INFO - Epoch(train) [100][ 740/1879] lr: 8.0076e-02 eta: 1 day, 17:30:16 time: 0.4960 data_time: 0.0367 memory: 18108 grad_norm: 3.1500 loss: 4.4380 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5394 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.8986 2023/02/01 11:53:17 - mmengine - INFO - Epoch(train) [100][ 760/1879] lr: 8.0070e-02 eta: 1 day, 17:30:06 time: 0.4957 data_time: 0.0330 memory: 18108 grad_norm: 3.1614 loss: 4.3123 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4562 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8561 2023/02/01 11:53:28 - mmengine - INFO - Epoch(train) [100][ 780/1879] lr: 8.0064e-02 eta: 1 day, 17:29:56 time: 0.5210 data_time: 0.0426 memory: 18108 grad_norm: 3.1588 loss: 4.4589 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6193 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.8396 2023/02/01 11:53:37 - mmengine - INFO - Epoch(train) [100][ 800/1879] lr: 8.0058e-02 eta: 1 day, 17:29:45 time: 0.4945 data_time: 0.0339 memory: 18108 grad_norm: 3.2259 loss: 4.3297 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5628 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.7669 2023/02/01 11:53:47 - mmengine - INFO - Epoch(train) [100][ 820/1879] lr: 8.0052e-02 eta: 1 day, 17:29:35 time: 0.4970 data_time: 0.0339 memory: 18108 grad_norm: 3.2115 loss: 4.5499 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.5632 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.9866 2023/02/01 11:53:58 - mmengine - INFO - Epoch(train) [100][ 840/1879] lr: 8.0046e-02 eta: 1 day, 17:29:25 time: 0.5324 data_time: 0.0390 memory: 18108 grad_norm: 3.2557 loss: 4.2280 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3653 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.8627 2023/02/01 11:54:08 - mmengine - INFO - Epoch(train) [100][ 860/1879] lr: 8.0040e-02 eta: 1 day, 17:29:15 time: 0.4961 data_time: 0.0351 memory: 18108 grad_norm: 3.2174 loss: 4.3481 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4830 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.8651 2023/02/01 11:54:18 - mmengine - INFO - Epoch(train) [100][ 880/1879] lr: 8.0034e-02 eta: 1 day, 17:29:04 time: 0.4994 data_time: 0.0327 memory: 18108 grad_norm: 3.1338 loss: 4.3318 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5127 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8191 2023/02/01 11:54:28 - mmengine - INFO - Epoch(train) [100][ 900/1879] lr: 8.0028e-02 eta: 1 day, 17:28:55 time: 0.5184 data_time: 0.0339 memory: 18108 grad_norm: 3.1724 loss: 4.4407 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5261 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.9146 2023/02/01 11:54:39 - mmengine - INFO - Epoch(train) [100][ 920/1879] lr: 8.0022e-02 eta: 1 day, 17:28:45 time: 0.5104 data_time: 0.0381 memory: 18108 grad_norm: 3.1461 loss: 4.3081 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4833 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8248 2023/02/01 11:54:49 - mmengine - INFO - Epoch(train) [100][ 940/1879] lr: 8.0016e-02 eta: 1 day, 17:28:35 time: 0.5219 data_time: 0.0346 memory: 18108 grad_norm: 3.1758 loss: 4.4929 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7084 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.7845 2023/02/01 11:55:00 - mmengine - INFO - Epoch(train) [100][ 960/1879] lr: 8.0009e-02 eta: 1 day, 17:28:25 time: 0.5295 data_time: 0.0328 memory: 18108 grad_norm: 3.1996 loss: 4.4101 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5922 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.8178 2023/02/01 11:55:09 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 11:55:10 - mmengine - INFO - Epoch(train) [100][ 980/1879] lr: 8.0003e-02 eta: 1 day, 17:28:15 time: 0.5156 data_time: 0.0343 memory: 18108 grad_norm: 3.1215 loss: 4.2874 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4234 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.8641 2023/02/01 11:55:20 - mmengine - INFO - Epoch(train) [100][1000/1879] lr: 7.9997e-02 eta: 1 day, 17:28:06 time: 0.5226 data_time: 0.0378 memory: 18108 grad_norm: 3.2041 loss: 4.4323 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5726 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.8597 2023/02/01 11:55:30 - mmengine - INFO - Epoch(train) [100][1020/1879] lr: 7.9991e-02 eta: 1 day, 17:27:55 time: 0.5030 data_time: 0.0329 memory: 18108 grad_norm: 3.1381 loss: 4.4519 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6467 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 1.8052 2023/02/01 11:55:41 - mmengine - INFO - Epoch(train) [100][1040/1879] lr: 7.9985e-02 eta: 1 day, 17:27:46 time: 0.5307 data_time: 0.0322 memory: 18108 grad_norm: 3.1476 loss: 4.3245 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5015 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8230 2023/02/01 11:55:51 - mmengine - INFO - Epoch(train) [100][1060/1879] lr: 7.9979e-02 eta: 1 day, 17:27:36 time: 0.5053 data_time: 0.0412 memory: 18108 grad_norm: 3.1547 loss: 4.0653 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2247 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.8405 2023/02/01 11:56:02 - mmengine - INFO - Epoch(train) [100][1080/1879] lr: 7.9973e-02 eta: 1 day, 17:27:26 time: 0.5246 data_time: 0.0313 memory: 18108 grad_norm: 3.1354 loss: 4.2837 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5016 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.7821 2023/02/01 11:56:12 - mmengine - INFO - Epoch(train) [100][1100/1879] lr: 7.9967e-02 eta: 1 day, 17:27:16 time: 0.5148 data_time: 0.0346 memory: 18108 grad_norm: 3.1322 loss: 4.5292 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7651 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.7641 2023/02/01 11:56:22 - mmengine - INFO - Epoch(train) [100][1120/1879] lr: 7.9961e-02 eta: 1 day, 17:27:07 time: 0.5210 data_time: 0.0336 memory: 18108 grad_norm: 3.1378 loss: 4.3998 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6254 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7744 2023/02/01 11:56:33 - mmengine - INFO - Epoch(train) [100][1140/1879] lr: 7.9955e-02 eta: 1 day, 17:26:56 time: 0.5109 data_time: 0.0354 memory: 18108 grad_norm: 3.1776 loss: 4.2036 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3797 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8239 2023/02/01 11:56:43 - mmengine - INFO - Epoch(train) [100][1160/1879] lr: 7.9949e-02 eta: 1 day, 17:26:47 time: 0.5274 data_time: 0.0318 memory: 18108 grad_norm: 3.1760 loss: 4.3828 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5086 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.8742 2023/02/01 11:56:53 - mmengine - INFO - Epoch(train) [100][1180/1879] lr: 7.9943e-02 eta: 1 day, 17:26:37 time: 0.5049 data_time: 0.0345 memory: 18108 grad_norm: 3.1938 loss: 4.1875 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5280 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.6594 2023/02/01 11:57:04 - mmengine - INFO - Epoch(train) [100][1200/1879] lr: 7.9937e-02 eta: 1 day, 17:26:27 time: 0.5206 data_time: 0.0344 memory: 18108 grad_norm: 3.1668 loss: 4.2260 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.5002 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.7258 2023/02/01 11:57:14 - mmengine - INFO - Epoch(train) [100][1220/1879] lr: 7.9931e-02 eta: 1 day, 17:26:17 time: 0.5099 data_time: 0.0422 memory: 18108 grad_norm: 3.1633 loss: 4.4267 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5659 top1_acc_1: 0.4941 top5_acc_1: 0.8235 loss_cls_1: 1.8609 2023/02/01 11:57:25 - mmengine - INFO - Epoch(train) [100][1240/1879] lr: 7.9925e-02 eta: 1 day, 17:26:07 time: 0.5323 data_time: 0.0293 memory: 18108 grad_norm: 3.1976 loss: 4.5096 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6596 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8500 2023/02/01 11:57:35 - mmengine - INFO - Epoch(train) [100][1260/1879] lr: 7.9919e-02 eta: 1 day, 17:25:57 time: 0.5027 data_time: 0.0368 memory: 18108 grad_norm: 3.1201 loss: 4.3046 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5983 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.7063 2023/02/01 11:57:45 - mmengine - INFO - Epoch(train) [100][1280/1879] lr: 7.9913e-02 eta: 1 day, 17:25:47 time: 0.5208 data_time: 0.0299 memory: 18108 grad_norm: 3.2134 loss: 4.3117 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4810 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.8307 2023/02/01 11:57:56 - mmengine - INFO - Epoch(train) [100][1300/1879] lr: 7.9907e-02 eta: 1 day, 17:25:38 time: 0.5245 data_time: 0.0435 memory: 18108 grad_norm: 3.1535 loss: 4.4981 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6354 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.8628 2023/02/01 11:58:06 - mmengine - INFO - Epoch(train) [100][1320/1879] lr: 7.9901e-02 eta: 1 day, 17:25:28 time: 0.5086 data_time: 0.0315 memory: 18108 grad_norm: 3.1442 loss: 4.3291 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4327 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 1.8964 2023/02/01 11:58:16 - mmengine - INFO - Epoch(train) [100][1340/1879] lr: 7.9895e-02 eta: 1 day, 17:25:18 time: 0.5255 data_time: 0.0381 memory: 18108 grad_norm: 3.2345 loss: 4.4875 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5488 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.9386 2023/02/01 11:58:27 - mmengine - INFO - Epoch(train) [100][1360/1879] lr: 7.9889e-02 eta: 1 day, 17:25:08 time: 0.5272 data_time: 0.0315 memory: 18108 grad_norm: 3.0503 loss: 4.4720 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5909 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.8812 2023/02/01 11:58:37 - mmengine - INFO - Epoch(train) [100][1380/1879] lr: 7.9883e-02 eta: 1 day, 17:24:59 time: 0.5192 data_time: 0.0370 memory: 18108 grad_norm: 3.1551 loss: 4.2197 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4497 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.7700 2023/02/01 11:58:48 - mmengine - INFO - Epoch(train) [100][1400/1879] lr: 7.9877e-02 eta: 1 day, 17:24:49 time: 0.5332 data_time: 0.0294 memory: 18108 grad_norm: 3.1118 loss: 4.2077 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3943 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 1.8133 2023/02/01 11:58:59 - mmengine - INFO - Epoch(train) [100][1420/1879] lr: 7.9871e-02 eta: 1 day, 17:24:40 time: 0.5249 data_time: 0.0351 memory: 18108 grad_norm: 3.1268 loss: 4.2971 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4990 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.7981 2023/02/01 11:59:09 - mmengine - INFO - Epoch(train) [100][1440/1879] lr: 7.9865e-02 eta: 1 day, 17:24:30 time: 0.5293 data_time: 0.0294 memory: 18108 grad_norm: 3.1217 loss: 4.2676 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4275 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8401 2023/02/01 11:59:19 - mmengine - INFO - Epoch(train) [100][1460/1879] lr: 7.9859e-02 eta: 1 day, 17:24:20 time: 0.5098 data_time: 0.0356 memory: 18108 grad_norm: 3.1886 loss: 4.5254 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6987 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.8267 2023/02/01 11:59:30 - mmengine - INFO - Epoch(train) [100][1480/1879] lr: 7.9853e-02 eta: 1 day, 17:24:11 time: 0.5350 data_time: 0.0314 memory: 18108 grad_norm: 3.1283 loss: 4.5162 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7547 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.7615 2023/02/01 11:59:41 - mmengine - INFO - Epoch(train) [100][1500/1879] lr: 7.9847e-02 eta: 1 day, 17:24:01 time: 0.5291 data_time: 0.0444 memory: 18108 grad_norm: 3.1596 loss: 4.3888 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5721 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8167 2023/02/01 11:59:51 - mmengine - INFO - Epoch(train) [100][1520/1879] lr: 7.9841e-02 eta: 1 day, 17:23:51 time: 0.5169 data_time: 0.0300 memory: 18108 grad_norm: 3.1529 loss: 4.0855 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3309 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7546 2023/02/01 12:00:02 - mmengine - INFO - Epoch(train) [100][1540/1879] lr: 7.9834e-02 eta: 1 day, 17:23:42 time: 0.5301 data_time: 0.0347 memory: 18108 grad_norm: 3.1819 loss: 4.5012 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.6693 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.8319 2023/02/01 12:00:12 - mmengine - INFO - Epoch(train) [100][1560/1879] lr: 7.9828e-02 eta: 1 day, 17:23:32 time: 0.5169 data_time: 0.0305 memory: 18108 grad_norm: 3.1639 loss: 4.4298 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5023 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.9274 2023/02/01 12:00:22 - mmengine - INFO - Epoch(train) [100][1580/1879] lr: 7.9822e-02 eta: 1 day, 17:23:22 time: 0.5100 data_time: 0.0426 memory: 18108 grad_norm: 3.1612 loss: 4.6151 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7739 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8412 2023/02/01 12:00:33 - mmengine - INFO - Epoch(train) [100][1600/1879] lr: 7.9816e-02 eta: 1 day, 17:23:12 time: 0.5205 data_time: 0.0309 memory: 18108 grad_norm: 3.1517 loss: 4.4172 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4759 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.9414 2023/02/01 12:00:43 - mmengine - INFO - Epoch(train) [100][1620/1879] lr: 7.9810e-02 eta: 1 day, 17:23:02 time: 0.5155 data_time: 0.0347 memory: 18108 grad_norm: 3.1419 loss: 4.4602 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6456 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.8147 2023/02/01 12:00:53 - mmengine - INFO - Epoch(train) [100][1640/1879] lr: 7.9804e-02 eta: 1 day, 17:22:53 time: 0.5247 data_time: 0.0360 memory: 18108 grad_norm: 3.1384 loss: 4.2340 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4053 top1_acc_1: 0.4235 top5_acc_1: 0.6706 loss_cls_1: 1.8287 2023/02/01 12:01:03 - mmengine - INFO - Epoch(train) [100][1660/1879] lr: 7.9798e-02 eta: 1 day, 17:22:42 time: 0.5004 data_time: 0.0382 memory: 18108 grad_norm: 3.1501 loss: 4.3977 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6854 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7123 2023/02/01 12:01:14 - mmengine - INFO - Epoch(train) [100][1680/1879] lr: 7.9792e-02 eta: 1 day, 17:22:33 time: 0.5418 data_time: 0.0305 memory: 18108 grad_norm: 3.1462 loss: 4.2014 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 2.4155 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.7859 2023/02/01 12:01:25 - mmengine - INFO - Epoch(train) [100][1700/1879] lr: 7.9786e-02 eta: 1 day, 17:22:23 time: 0.5096 data_time: 0.0361 memory: 18108 grad_norm: 3.1668 loss: 4.2167 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4728 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.7439 2023/02/01 12:01:35 - mmengine - INFO - Epoch(train) [100][1720/1879] lr: 7.9780e-02 eta: 1 day, 17:22:13 time: 0.5197 data_time: 0.0343 memory: 18108 grad_norm: 3.1205 loss: 4.3155 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4874 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.8281 2023/02/01 12:01:45 - mmengine - INFO - Epoch(train) [100][1740/1879] lr: 7.9774e-02 eta: 1 day, 17:22:04 time: 0.5210 data_time: 0.0349 memory: 18108 grad_norm: 3.1509 loss: 4.1904 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.4311 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.7593 2023/02/01 12:01:56 - mmengine - INFO - Epoch(train) [100][1760/1879] lr: 7.9768e-02 eta: 1 day, 17:21:54 time: 0.5349 data_time: 0.0299 memory: 18108 grad_norm: 3.1533 loss: 4.4038 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5623 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8414 2023/02/01 12:02:06 - mmengine - INFO - Epoch(train) [100][1780/1879] lr: 7.9762e-02 eta: 1 day, 17:21:44 time: 0.5166 data_time: 0.0428 memory: 18108 grad_norm: 3.1581 loss: 4.3890 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5697 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.8193 2023/02/01 12:02:17 - mmengine - INFO - Epoch(train) [100][1800/1879] lr: 7.9756e-02 eta: 1 day, 17:21:35 time: 0.5274 data_time: 0.0298 memory: 18108 grad_norm: 3.1909 loss: 4.4526 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5601 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.8926 2023/02/01 12:02:28 - mmengine - INFO - Epoch(train) [100][1820/1879] lr: 7.9750e-02 eta: 1 day, 17:21:26 time: 0.5428 data_time: 0.0352 memory: 18108 grad_norm: 3.1488 loss: 4.3792 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6085 top1_acc_1: 0.6471 top5_acc_1: 0.7647 loss_cls_1: 1.7707 2023/02/01 12:02:38 - mmengine - INFO - Epoch(train) [100][1840/1879] lr: 7.9744e-02 eta: 1 day, 17:21:16 time: 0.5153 data_time: 0.0307 memory: 18108 grad_norm: 3.2513 loss: 4.5635 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.7354 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8281 2023/02/01 12:02:51 - mmengine - INFO - Epoch(train) [100][1860/1879] lr: 7.9738e-02 eta: 1 day, 17:21:10 time: 0.6538 data_time: 0.0447 memory: 18108 grad_norm: 3.1383 loss: 4.1328 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3799 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.7529 2023/02/01 12:03:01 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 12:03:01 - mmengine - INFO - Epoch(train) [100][1879/1879] lr: 7.9732e-02 eta: 1 day, 17:21:01 time: 0.5234 data_time: 0.0278 memory: 18108 grad_norm: 3.1672 loss: 4.2842 top1_acc_0: 0.2857 top5_acc_0: 0.4286 loss_cls_0: 2.4486 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.8356 2023/02/01 12:03:02 - mmengine - INFO - Saving checkpoint at 100 epochs 2023/02/01 12:03:12 - mmengine - INFO - Epoch(val) [100][ 20/155] eta: 0:01:01 time: 0.4564 data_time: 0.3440 memory: 1906 2023/02/01 12:03:21 - mmengine - INFO - Epoch(val) [100][ 40/155] eta: 0:00:52 time: 0.4514 data_time: 0.3389 memory: 1906 2023/02/01 12:03:30 - mmengine - INFO - Epoch(val) [100][ 60/155] eta: 0:00:42 time: 0.4215 data_time: 0.3104 memory: 1906 2023/02/01 12:03:39 - mmengine - INFO - Epoch(val) [100][ 80/155] eta: 0:00:33 time: 0.4562 data_time: 0.3451 memory: 1906 2023/02/01 12:03:48 - mmengine - INFO - Epoch(val) [100][100/155] eta: 0:00:24 time: 0.4437 data_time: 0.3321 memory: 1906 2023/02/01 12:03:57 - mmengine - INFO - Epoch(val) [100][120/155] eta: 0:00:15 time: 0.4617 data_time: 0.3509 memory: 1906 2023/02/01 12:04:06 - mmengine - INFO - Epoch(val) [100][140/155] eta: 0:00:06 time: 0.4374 data_time: 0.3271 memory: 1906 2023/02/01 12:04:13 - mmengine - INFO - Epoch(val) [100][155/155] acc/top1: 0.4514 acc/top5: 0.7178 acc/mean1: 0.4513 2023/02/01 12:04:28 - mmengine - INFO - Epoch(train) [101][ 20/1879] lr: 7.9726e-02 eta: 1 day, 17:20:58 time: 0.7236 data_time: 0.2740 memory: 18108 grad_norm: 3.1373 loss: 4.4124 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6437 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.7686 2023/02/01 12:04:37 - mmengine - INFO - Epoch(train) [101][ 40/1879] lr: 7.9720e-02 eta: 1 day, 17:20:46 time: 0.4721 data_time: 0.0355 memory: 18108 grad_norm: 3.1265 loss: 4.2096 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4079 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.8016 2023/02/01 12:04:47 - mmengine - INFO - Epoch(train) [101][ 60/1879] lr: 7.9714e-02 eta: 1 day, 17:20:35 time: 0.4751 data_time: 0.0339 memory: 18108 grad_norm: 3.1310 loss: 4.0518 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2912 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.7606 2023/02/01 12:04:58 - mmengine - INFO - Epoch(train) [101][ 80/1879] lr: 7.9708e-02 eta: 1 day, 17:20:26 time: 0.5342 data_time: 0.0504 memory: 18108 grad_norm: 3.1738 loss: 4.0428 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.2934 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7494 2023/02/01 12:05:07 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 12:05:07 - mmengine - INFO - Epoch(train) [101][ 100/1879] lr: 7.9702e-02 eta: 1 day, 17:20:15 time: 0.4760 data_time: 0.0351 memory: 18108 grad_norm: 3.2912 loss: 4.3468 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.5580 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.7888 2023/02/01 12:05:17 - mmengine - INFO - Epoch(train) [101][ 120/1879] lr: 7.9696e-02 eta: 1 day, 17:20:04 time: 0.4738 data_time: 0.0324 memory: 18108 grad_norm: 3.1444 loss: 4.1636 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3964 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.7672 2023/02/01 12:05:26 - mmengine - INFO - Epoch(train) [101][ 140/1879] lr: 7.9690e-02 eta: 1 day, 17:19:53 time: 0.4915 data_time: 0.0334 memory: 18108 grad_norm: 3.1671 loss: 4.3743 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5014 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.8729 2023/02/01 12:05:36 - mmengine - INFO - Epoch(train) [101][ 160/1879] lr: 7.9683e-02 eta: 1 day, 17:19:42 time: 0.4981 data_time: 0.0461 memory: 18108 grad_norm: 3.2203 loss: 4.3715 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5501 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.8214 2023/02/01 12:05:46 - mmengine - INFO - Epoch(train) [101][ 180/1879] lr: 7.9677e-02 eta: 1 day, 17:19:31 time: 0.4745 data_time: 0.0326 memory: 18108 grad_norm: 3.1447 loss: 4.4121 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6264 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7857 2023/02/01 12:05:55 - mmengine - INFO - Epoch(train) [101][ 200/1879] lr: 7.9671e-02 eta: 1 day, 17:19:20 time: 0.4709 data_time: 0.0345 memory: 18108 grad_norm: 3.1843 loss: 4.1599 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.3131 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.8467 2023/02/01 12:06:05 - mmengine - INFO - Epoch(train) [101][ 220/1879] lr: 7.9665e-02 eta: 1 day, 17:19:09 time: 0.4881 data_time: 0.0345 memory: 18108 grad_norm: 3.1532 loss: 4.0290 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3190 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.7100 2023/02/01 12:06:15 - mmengine - INFO - Epoch(train) [101][ 240/1879] lr: 7.9659e-02 eta: 1 day, 17:18:58 time: 0.4925 data_time: 0.0359 memory: 18108 grad_norm: 3.1661 loss: 4.1993 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3970 top1_acc_1: 0.5765 top5_acc_1: 0.8941 loss_cls_1: 1.8023 2023/02/01 12:06:24 - mmengine - INFO - Epoch(train) [101][ 260/1879] lr: 7.9653e-02 eta: 1 day, 17:18:47 time: 0.4685 data_time: 0.0349 memory: 18108 grad_norm: 3.1479 loss: 3.9927 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2460 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7467 2023/02/01 12:06:34 - mmengine - INFO - Epoch(train) [101][ 280/1879] lr: 7.9647e-02 eta: 1 day, 17:18:36 time: 0.4791 data_time: 0.0356 memory: 18108 grad_norm: 3.1643 loss: 4.4798 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7331 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7467 2023/02/01 12:06:44 - mmengine - INFO - Epoch(train) [101][ 300/1879] lr: 7.9641e-02 eta: 1 day, 17:18:25 time: 0.4801 data_time: 0.0425 memory: 18108 grad_norm: 3.1591 loss: 4.1472 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3189 top1_acc_1: 0.5059 top5_acc_1: 0.6588 loss_cls_1: 1.8283 2023/02/01 12:06:53 - mmengine - INFO - Epoch(train) [101][ 320/1879] lr: 7.9635e-02 eta: 1 day, 17:18:14 time: 0.4791 data_time: 0.0348 memory: 18108 grad_norm: 3.1929 loss: 4.2637 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.4431 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.8206 2023/02/01 12:07:03 - mmengine - INFO - Epoch(train) [101][ 340/1879] lr: 7.9629e-02 eta: 1 day, 17:18:03 time: 0.4805 data_time: 0.0360 memory: 18108 grad_norm: 3.0826 loss: 4.2515 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5304 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.7210 2023/02/01 12:07:12 - mmengine - INFO - Epoch(train) [101][ 360/1879] lr: 7.9623e-02 eta: 1 day, 17:17:52 time: 0.4675 data_time: 0.0348 memory: 18108 grad_norm: 3.1525 loss: 4.3449 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.4737 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.8711 2023/02/01 12:07:22 - mmengine - INFO - Epoch(train) [101][ 380/1879] lr: 7.9617e-02 eta: 1 day, 17:17:41 time: 0.4816 data_time: 0.0332 memory: 18108 grad_norm: 3.1778 loss: 4.3005 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5231 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.7774 2023/02/01 12:07:31 - mmengine - INFO - Epoch(train) [101][ 400/1879] lr: 7.9611e-02 eta: 1 day, 17:17:29 time: 0.4752 data_time: 0.0332 memory: 18108 grad_norm: 3.1513 loss: 4.4077 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6080 top1_acc_1: 0.5882 top5_acc_1: 0.9059 loss_cls_1: 1.7997 2023/02/01 12:07:41 - mmengine - INFO - Epoch(train) [101][ 420/1879] lr: 7.9605e-02 eta: 1 day, 17:17:19 time: 0.4847 data_time: 0.0354 memory: 18108 grad_norm: 3.1124 loss: 4.3125 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.4844 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8281 2023/02/01 12:07:50 - mmengine - INFO - Epoch(train) [101][ 440/1879] lr: 7.9599e-02 eta: 1 day, 17:17:07 time: 0.4637 data_time: 0.0353 memory: 18108 grad_norm: 3.2711 loss: 4.3266 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5115 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 1.8150 2023/02/01 12:08:00 - mmengine - INFO - Epoch(train) [101][ 460/1879] lr: 7.9593e-02 eta: 1 day, 17:16:56 time: 0.4756 data_time: 0.0388 memory: 18108 grad_norm: 3.2196 loss: 4.2580 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4305 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8276 2023/02/01 12:08:09 - mmengine - INFO - Epoch(train) [101][ 480/1879] lr: 7.9586e-02 eta: 1 day, 17:16:45 time: 0.4715 data_time: 0.0348 memory: 18108 grad_norm: 3.2089 loss: 4.3261 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5327 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.7933 2023/02/01 12:08:19 - mmengine - INFO - Epoch(train) [101][ 500/1879] lr: 7.9580e-02 eta: 1 day, 17:16:34 time: 0.4794 data_time: 0.0334 memory: 18108 grad_norm: 3.2039 loss: 4.3051 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.5110 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7941 2023/02/01 12:08:28 - mmengine - INFO - Epoch(train) [101][ 520/1879] lr: 7.9574e-02 eta: 1 day, 17:16:22 time: 0.4723 data_time: 0.0344 memory: 18108 grad_norm: 3.1817 loss: 4.0697 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3611 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.7085 2023/02/01 12:08:38 - mmengine - INFO - Epoch(train) [101][ 540/1879] lr: 7.9568e-02 eta: 1 day, 17:16:11 time: 0.4760 data_time: 0.0350 memory: 18108 grad_norm: 3.1710 loss: 4.1419 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4181 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.7238 2023/02/01 12:08:47 - mmengine - INFO - Epoch(train) [101][ 560/1879] lr: 7.9562e-02 eta: 1 day, 17:16:00 time: 0.4802 data_time: 0.0356 memory: 18108 grad_norm: 3.1531 loss: 4.3320 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.4473 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8847 2023/02/01 12:08:57 - mmengine - INFO - Epoch(train) [101][ 580/1879] lr: 7.9556e-02 eta: 1 day, 17:15:49 time: 0.4808 data_time: 0.0342 memory: 18108 grad_norm: 3.1757 loss: 4.2667 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.4685 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.7982 2023/02/01 12:09:06 - mmengine - INFO - Epoch(train) [101][ 600/1879] lr: 7.9550e-02 eta: 1 day, 17:15:38 time: 0.4703 data_time: 0.0330 memory: 18108 grad_norm: 3.2386 loss: 4.2630 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4508 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.8122 2023/02/01 12:09:16 - mmengine - INFO - Epoch(train) [101][ 620/1879] lr: 7.9544e-02 eta: 1 day, 17:15:27 time: 0.4848 data_time: 0.0396 memory: 18108 grad_norm: 3.1424 loss: 4.3551 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5588 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7963 2023/02/01 12:09:26 - mmengine - INFO - Epoch(train) [101][ 640/1879] lr: 7.9538e-02 eta: 1 day, 17:15:16 time: 0.4859 data_time: 0.0329 memory: 18108 grad_norm: 3.1846 loss: 4.1066 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3872 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7194 2023/02/01 12:09:36 - mmengine - INFO - Epoch(train) [101][ 660/1879] lr: 7.9532e-02 eta: 1 day, 17:15:05 time: 0.4855 data_time: 0.0352 memory: 18108 grad_norm: 3.1603 loss: 4.6179 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8456 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7724 2023/02/01 12:09:45 - mmengine - INFO - Epoch(train) [101][ 680/1879] lr: 7.9526e-02 eta: 1 day, 17:14:54 time: 0.4708 data_time: 0.0354 memory: 18108 grad_norm: 3.1552 loss: 4.5081 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6287 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.8794 2023/02/01 12:09:55 - mmengine - INFO - Epoch(train) [101][ 700/1879] lr: 7.9520e-02 eta: 1 day, 17:14:43 time: 0.4787 data_time: 0.0346 memory: 18108 grad_norm: 3.0925 loss: 4.2635 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4368 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8267 2023/02/01 12:10:04 - mmengine - INFO - Epoch(train) [101][ 720/1879] lr: 7.9514e-02 eta: 1 day, 17:14:32 time: 0.4896 data_time: 0.0346 memory: 18108 grad_norm: 3.1331 loss: 4.3542 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5691 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.7851 2023/02/01 12:10:14 - mmengine - INFO - Epoch(train) [101][ 740/1879] lr: 7.9507e-02 eta: 1 day, 17:14:21 time: 0.4814 data_time: 0.0344 memory: 18108 grad_norm: 3.1361 loss: 4.5685 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6086 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.9599 2023/02/01 12:10:24 - mmengine - INFO - Epoch(train) [101][ 760/1879] lr: 7.9501e-02 eta: 1 day, 17:14:10 time: 0.4721 data_time: 0.0377 memory: 18108 grad_norm: 3.1988 loss: 4.3476 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.5569 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.7906 2023/02/01 12:10:33 - mmengine - INFO - Epoch(train) [101][ 780/1879] lr: 7.9495e-02 eta: 1 day, 17:13:59 time: 0.4852 data_time: 0.0333 memory: 18108 grad_norm: 3.1849 loss: 4.3657 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.5580 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.8076 2023/02/01 12:10:43 - mmengine - INFO - Epoch(train) [101][ 800/1879] lr: 7.9489e-02 eta: 1 day, 17:13:48 time: 0.4718 data_time: 0.0333 memory: 18108 grad_norm: 3.1727 loss: 4.2786 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5184 top1_acc_1: 0.4471 top5_acc_1: 0.7765 loss_cls_1: 1.7602 2023/02/01 12:10:52 - mmengine - INFO - Epoch(train) [101][ 820/1879] lr: 7.9483e-02 eta: 1 day, 17:13:37 time: 0.4824 data_time: 0.0350 memory: 18108 grad_norm: 3.1385 loss: 4.4371 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.5784 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8587 2023/02/01 12:11:02 - mmengine - INFO - Epoch(train) [101][ 840/1879] lr: 7.9477e-02 eta: 1 day, 17:13:26 time: 0.4897 data_time: 0.0420 memory: 18108 grad_norm: 3.1055 loss: 4.3490 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5312 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8178 2023/02/01 12:11:12 - mmengine - INFO - Epoch(train) [101][ 860/1879] lr: 7.9471e-02 eta: 1 day, 17:13:15 time: 0.4868 data_time: 0.0342 memory: 18108 grad_norm: 3.2010 loss: 4.3250 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4606 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.8644 2023/02/01 12:11:22 - mmengine - INFO - Epoch(train) [101][ 880/1879] lr: 7.9465e-02 eta: 1 day, 17:13:05 time: 0.4925 data_time: 0.0351 memory: 18108 grad_norm: 3.1382 loss: 4.3846 top1_acc_0: 0.1250 top5_acc_0: 0.7500 loss_cls_0: 2.6027 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.7820 2023/02/01 12:11:31 - mmengine - INFO - Epoch(train) [101][ 900/1879] lr: 7.9459e-02 eta: 1 day, 17:12:54 time: 0.4830 data_time: 0.0421 memory: 18108 grad_norm: 3.1603 loss: 4.4081 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5767 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.8314 2023/02/01 12:11:41 - mmengine - INFO - Epoch(train) [101][ 920/1879] lr: 7.9453e-02 eta: 1 day, 17:12:43 time: 0.4756 data_time: 0.0325 memory: 18108 grad_norm: 3.1510 loss: 4.3130 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.4969 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8161 2023/02/01 12:11:51 - mmengine - INFO - Epoch(train) [101][ 940/1879] lr: 7.9447e-02 eta: 1 day, 17:12:32 time: 0.4798 data_time: 0.0339 memory: 18108 grad_norm: 3.1785 loss: 4.2628 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.4459 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.8168 2023/02/01 12:12:00 - mmengine - INFO - Epoch(train) [101][ 960/1879] lr: 7.9441e-02 eta: 1 day, 17:12:21 time: 0.4805 data_time: 0.0331 memory: 18108 grad_norm: 3.1771 loss: 4.4781 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6338 top1_acc_1: 0.7059 top5_acc_1: 0.7882 loss_cls_1: 1.8443 2023/02/01 12:12:10 - mmengine - INFO - Epoch(train) [101][ 980/1879] lr: 7.9434e-02 eta: 1 day, 17:12:10 time: 0.4975 data_time: 0.0340 memory: 18108 grad_norm: 3.1459 loss: 4.6465 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 2.8169 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8296 2023/02/01 12:12:20 - mmengine - INFO - Epoch(train) [101][1000/1879] lr: 7.9428e-02 eta: 1 day, 17:11:59 time: 0.4728 data_time: 0.0330 memory: 18108 grad_norm: 3.2489 loss: 4.4081 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6354 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.7727 2023/02/01 12:12:29 - mmengine - INFO - Epoch(train) [101][1020/1879] lr: 7.9422e-02 eta: 1 day, 17:11:48 time: 0.4884 data_time: 0.0350 memory: 18108 grad_norm: 3.1825 loss: 4.4006 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6168 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.7838 2023/02/01 12:12:39 - mmengine - INFO - Epoch(train) [101][1040/1879] lr: 7.9416e-02 eta: 1 day, 17:11:37 time: 0.4887 data_time: 0.0333 memory: 18108 grad_norm: 3.0991 loss: 4.3695 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5881 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.7814 2023/02/01 12:12:49 - mmengine - INFO - Epoch(train) [101][1060/1879] lr: 7.9410e-02 eta: 1 day, 17:11:27 time: 0.4840 data_time: 0.0413 memory: 18108 grad_norm: 3.2818 loss: 4.6836 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.8932 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 1.7904 2023/02/01 12:12:58 - mmengine - INFO - Epoch(train) [101][1080/1879] lr: 7.9404e-02 eta: 1 day, 17:11:15 time: 0.4655 data_time: 0.0334 memory: 18108 grad_norm: 3.2131 loss: 4.5501 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6964 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.8538 2023/02/01 12:13:08 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 12:13:08 - mmengine - INFO - Epoch(train) [101][1100/1879] lr: 7.9398e-02 eta: 1 day, 17:11:05 time: 0.5060 data_time: 0.0343 memory: 18108 grad_norm: 3.1478 loss: 4.5518 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7755 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.7763 2023/02/01 12:13:18 - mmengine - INFO - Epoch(train) [101][1120/1879] lr: 7.9392e-02 eta: 1 day, 17:10:54 time: 0.4887 data_time: 0.0337 memory: 18108 grad_norm: 3.0916 loss: 4.2286 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.4316 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.7969 2023/02/01 12:13:28 - mmengine - INFO - Epoch(train) [101][1140/1879] lr: 7.9386e-02 eta: 1 day, 17:10:44 time: 0.5041 data_time: 0.0401 memory: 18108 grad_norm: 3.1350 loss: 4.3718 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5056 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.8663 2023/02/01 12:13:38 - mmengine - INFO - Epoch(train) [101][1160/1879] lr: 7.9380e-02 eta: 1 day, 17:10:33 time: 0.4900 data_time: 0.0347 memory: 18108 grad_norm: 3.1685 loss: 4.3956 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5095 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8860 2023/02/01 12:13:48 - mmengine - INFO - Epoch(train) [101][1180/1879] lr: 7.9374e-02 eta: 1 day, 17:10:23 time: 0.5128 data_time: 0.0319 memory: 18108 grad_norm: 3.1553 loss: 4.6004 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7149 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.8854 2023/02/01 12:13:59 - mmengine - INFO - Epoch(train) [101][1200/1879] lr: 7.9367e-02 eta: 1 day, 17:10:13 time: 0.5191 data_time: 0.0314 memory: 18108 grad_norm: 3.0894 loss: 4.5242 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6358 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.8884 2023/02/01 12:14:08 - mmengine - INFO - Epoch(train) [101][1220/1879] lr: 7.9361e-02 eta: 1 day, 17:10:03 time: 0.4848 data_time: 0.0331 memory: 18108 grad_norm: 3.1284 loss: 4.5177 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6404 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 1.8773 2023/02/01 12:14:19 - mmengine - INFO - Epoch(train) [101][1240/1879] lr: 7.9355e-02 eta: 1 day, 17:09:52 time: 0.5030 data_time: 0.0337 memory: 18108 grad_norm: 3.1831 loss: 4.3688 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5482 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.8207 2023/02/01 12:14:28 - mmengine - INFO - Epoch(train) [101][1260/1879] lr: 7.9349e-02 eta: 1 day, 17:09:42 time: 0.4958 data_time: 0.0330 memory: 18108 grad_norm: 3.1584 loss: 4.4456 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6447 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.8009 2023/02/01 12:14:38 - mmengine - INFO - Epoch(train) [101][1280/1879] lr: 7.9343e-02 eta: 1 day, 17:09:31 time: 0.4996 data_time: 0.0400 memory: 18108 grad_norm: 3.2234 loss: 4.3290 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.4514 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8776 2023/02/01 12:14:48 - mmengine - INFO - Epoch(train) [101][1300/1879] lr: 7.9337e-02 eta: 1 day, 17:09:21 time: 0.4952 data_time: 0.0343 memory: 18108 grad_norm: 3.1563 loss: 4.5600 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.7061 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.8539 2023/02/01 12:14:59 - mmengine - INFO - Epoch(train) [101][1320/1879] lr: 7.9331e-02 eta: 1 day, 17:09:11 time: 0.5196 data_time: 0.0329 memory: 18108 grad_norm: 3.1602 loss: 4.3437 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4578 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8859 2023/02/01 12:15:09 - mmengine - INFO - Epoch(train) [101][1340/1879] lr: 7.9325e-02 eta: 1 day, 17:09:01 time: 0.5046 data_time: 0.0321 memory: 18108 grad_norm: 3.1142 loss: 4.1450 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3476 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.7975 2023/02/01 12:15:19 - mmengine - INFO - Epoch(train) [101][1360/1879] lr: 7.9319e-02 eta: 1 day, 17:08:51 time: 0.5141 data_time: 0.0398 memory: 18108 grad_norm: 3.1180 loss: 4.2593 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4229 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8363 2023/02/01 12:15:29 - mmengine - INFO - Epoch(train) [101][1380/1879] lr: 7.9313e-02 eta: 1 day, 17:08:41 time: 0.5144 data_time: 0.0327 memory: 18108 grad_norm: 3.2057 loss: 4.1702 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.4080 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7622 2023/02/01 12:15:40 - mmengine - INFO - Epoch(train) [101][1400/1879] lr: 7.9306e-02 eta: 1 day, 17:08:31 time: 0.5097 data_time: 0.0334 memory: 18108 grad_norm: 3.2554 loss: 4.5249 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.7144 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.8104 2023/02/01 12:15:50 - mmengine - INFO - Epoch(train) [101][1420/1879] lr: 7.9300e-02 eta: 1 day, 17:08:20 time: 0.4995 data_time: 0.0320 memory: 18108 grad_norm: 3.2335 loss: 4.2917 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4178 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.8739 2023/02/01 12:16:02 - mmengine - INFO - Epoch(train) [101][1440/1879] lr: 7.9294e-02 eta: 1 day, 17:08:13 time: 0.5926 data_time: 0.0387 memory: 18108 grad_norm: 3.1635 loss: 4.4118 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5090 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.9028 2023/02/01 12:16:12 - mmengine - INFO - Epoch(train) [101][1460/1879] lr: 7.9288e-02 eta: 1 day, 17:08:03 time: 0.5152 data_time: 0.0317 memory: 18108 grad_norm: 3.1816 loss: 4.3181 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6141 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.7040 2023/02/01 12:16:22 - mmengine - INFO - Epoch(train) [101][1480/1879] lr: 7.9282e-02 eta: 1 day, 17:07:53 time: 0.5130 data_time: 0.0310 memory: 18108 grad_norm: 3.1075 loss: 4.2052 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3907 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.8145 2023/02/01 12:16:32 - mmengine - INFO - Epoch(train) [101][1500/1879] lr: 7.9276e-02 eta: 1 day, 17:07:42 time: 0.5007 data_time: 0.0388 memory: 18108 grad_norm: 3.1467 loss: 4.0912 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3057 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.7855 2023/02/01 12:16:42 - mmengine - INFO - Epoch(train) [101][1520/1879] lr: 7.9270e-02 eta: 1 day, 17:07:32 time: 0.5104 data_time: 0.0342 memory: 18108 grad_norm: 3.1659 loss: 4.5442 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6958 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.8484 2023/02/01 12:16:52 - mmengine - INFO - Epoch(train) [101][1540/1879] lr: 7.9264e-02 eta: 1 day, 17:07:22 time: 0.4985 data_time: 0.0326 memory: 18108 grad_norm: 3.0868 loss: 4.3659 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5673 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.7986 2023/02/01 12:17:02 - mmengine - INFO - Epoch(train) [101][1560/1879] lr: 7.9258e-02 eta: 1 day, 17:07:12 time: 0.5066 data_time: 0.0323 memory: 18108 grad_norm: 3.1514 loss: 4.3079 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5135 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.7945 2023/02/01 12:17:12 - mmengine - INFO - Epoch(train) [101][1580/1879] lr: 7.9252e-02 eta: 1 day, 17:07:01 time: 0.4976 data_time: 0.0397 memory: 18108 grad_norm: 3.1371 loss: 4.3125 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5737 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7389 2023/02/01 12:17:23 - mmengine - INFO - Epoch(train) [101][1600/1879] lr: 7.9245e-02 eta: 1 day, 17:06:52 time: 0.5195 data_time: 0.0323 memory: 18108 grad_norm: 3.1432 loss: 4.1433 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3197 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.8236 2023/02/01 12:17:33 - mmengine - INFO - Epoch(train) [101][1620/1879] lr: 7.9239e-02 eta: 1 day, 17:06:41 time: 0.4913 data_time: 0.0321 memory: 18108 grad_norm: 3.2171 loss: 4.0953 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.2636 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.8316 2023/02/01 12:17:43 - mmengine - INFO - Epoch(train) [101][1640/1879] lr: 7.9233e-02 eta: 1 day, 17:06:30 time: 0.4978 data_time: 0.0322 memory: 18108 grad_norm: 3.1800 loss: 4.2858 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3436 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9422 2023/02/01 12:17:53 - mmengine - INFO - Epoch(train) [101][1660/1879] lr: 7.9227e-02 eta: 1 day, 17:06:21 time: 0.5190 data_time: 0.0388 memory: 18108 grad_norm: 3.1872 loss: 4.4077 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6165 top1_acc_1: 0.6706 top5_acc_1: 0.7882 loss_cls_1: 1.7912 2023/02/01 12:18:03 - mmengine - INFO - Epoch(train) [101][1680/1879] lr: 7.9221e-02 eta: 1 day, 17:06:10 time: 0.5042 data_time: 0.0331 memory: 18108 grad_norm: 3.2053 loss: 4.4367 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6345 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.8021 2023/02/01 12:18:13 - mmengine - INFO - Epoch(train) [101][1700/1879] lr: 7.9215e-02 eta: 1 day, 17:06:00 time: 0.5000 data_time: 0.0315 memory: 18108 grad_norm: 3.2001 loss: 4.4539 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6650 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.7889 2023/02/01 12:18:23 - mmengine - INFO - Epoch(train) [101][1720/1879] lr: 7.9209e-02 eta: 1 day, 17:05:50 time: 0.5133 data_time: 0.0320 memory: 18108 grad_norm: 3.1253 loss: 4.3182 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4796 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.8386 2023/02/01 12:18:34 - mmengine - INFO - Epoch(train) [101][1740/1879] lr: 7.9203e-02 eta: 1 day, 17:05:40 time: 0.5119 data_time: 0.0431 memory: 18108 grad_norm: 3.1833 loss: 4.3697 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5054 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8643 2023/02/01 12:18:44 - mmengine - INFO - Epoch(train) [101][1760/1879] lr: 7.9197e-02 eta: 1 day, 17:05:30 time: 0.5125 data_time: 0.0361 memory: 18108 grad_norm: 3.1664 loss: 4.3221 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4880 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.8341 2023/02/01 12:18:54 - mmengine - INFO - Epoch(train) [101][1780/1879] lr: 7.9190e-02 eta: 1 day, 17:05:20 time: 0.5007 data_time: 0.0315 memory: 18108 grad_norm: 3.2251 loss: 4.2403 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4698 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.7705 2023/02/01 12:19:05 - mmengine - INFO - Epoch(train) [101][1800/1879] lr: 7.9184e-02 eta: 1 day, 17:05:11 time: 0.5539 data_time: 0.0460 memory: 18108 grad_norm: 3.1348 loss: 4.3216 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5434 top1_acc_1: 0.6235 top5_acc_1: 0.8941 loss_cls_1: 1.7782 2023/02/01 12:19:16 - mmengine - INFO - Epoch(train) [101][1820/1879] lr: 7.9178e-02 eta: 1 day, 17:05:01 time: 0.5207 data_time: 0.0285 memory: 18108 grad_norm: 3.1811 loss: 4.0684 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2980 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7704 2023/02/01 12:19:26 - mmengine - INFO - Epoch(train) [101][1840/1879] lr: 7.9172e-02 eta: 1 day, 17:04:51 time: 0.5228 data_time: 0.0365 memory: 18108 grad_norm: 3.1208 loss: 4.5693 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7031 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.8662 2023/02/01 12:19:36 - mmengine - INFO - Epoch(train) [101][1860/1879] lr: 7.9166e-02 eta: 1 day, 17:04:42 time: 0.5193 data_time: 0.0353 memory: 18108 grad_norm: 3.1424 loss: 4.4230 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4688 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.9541 2023/02/01 12:19:46 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 12:19:46 - mmengine - INFO - Epoch(train) [101][1879/1879] lr: 7.9160e-02 eta: 1 day, 17:04:32 time: 0.4990 data_time: 0.0319 memory: 18108 grad_norm: 3.2927 loss: 4.4349 top1_acc_0: 0.4286 top5_acc_0: 0.4286 loss_cls_0: 2.6647 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.7702 2023/02/01 12:20:01 - mmengine - INFO - Epoch(train) [102][ 20/1879] lr: 7.9154e-02 eta: 1 day, 17:04:28 time: 0.7184 data_time: 0.2657 memory: 18108 grad_norm: 3.1608 loss: 4.0458 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.3923 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6536 2023/02/01 12:20:11 - mmengine - INFO - Epoch(train) [102][ 40/1879] lr: 7.9148e-02 eta: 1 day, 17:04:17 time: 0.4756 data_time: 0.0324 memory: 18108 grad_norm: 3.1308 loss: 4.2692 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4869 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.7823 2023/02/01 12:20:20 - mmengine - INFO - Epoch(train) [102][ 60/1879] lr: 7.9142e-02 eta: 1 day, 17:04:06 time: 0.4811 data_time: 0.0379 memory: 18108 grad_norm: 3.1274 loss: 4.1387 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3957 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.7429 2023/02/01 12:20:31 - mmengine - INFO - Epoch(train) [102][ 80/1879] lr: 7.9136e-02 eta: 1 day, 17:03:56 time: 0.5220 data_time: 0.0404 memory: 18108 grad_norm: 3.0927 loss: 4.3608 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5581 top1_acc_1: 0.5882 top5_acc_1: 0.8941 loss_cls_1: 1.8027 2023/02/01 12:20:40 - mmengine - INFO - Epoch(train) [102][ 100/1879] lr: 7.9130e-02 eta: 1 day, 17:03:45 time: 0.4803 data_time: 0.0362 memory: 18108 grad_norm: 3.1408 loss: 4.3042 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 2.5181 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.7861 2023/02/01 12:20:50 - mmengine - INFO - Epoch(train) [102][ 120/1879] lr: 7.9123e-02 eta: 1 day, 17:03:34 time: 0.4767 data_time: 0.0297 memory: 18108 grad_norm: 3.1506 loss: 3.7983 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0932 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.7051 2023/02/01 12:21:00 - mmengine - INFO - Epoch(train) [102][ 140/1879] lr: 7.9117e-02 eta: 1 day, 17:03:24 time: 0.5010 data_time: 0.0430 memory: 18108 grad_norm: 3.1519 loss: 3.9993 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1920 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8073 2023/02/01 12:21:10 - mmengine - INFO - Epoch(train) [102][ 160/1879] lr: 7.9111e-02 eta: 1 day, 17:03:13 time: 0.4913 data_time: 0.0293 memory: 18108 grad_norm: 3.2097 loss: 4.1594 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4351 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.7244 2023/02/01 12:21:19 - mmengine - INFO - Epoch(train) [102][ 180/1879] lr: 7.9105e-02 eta: 1 day, 17:03:02 time: 0.4827 data_time: 0.0367 memory: 18108 grad_norm: 3.2128 loss: 4.3895 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7043 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.6852 2023/02/01 12:21:29 - mmengine - INFO - Epoch(train) [102][ 200/1879] lr: 7.9099e-02 eta: 1 day, 17:02:51 time: 0.4736 data_time: 0.0320 memory: 18108 grad_norm: 3.1632 loss: 4.0076 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2220 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7857 2023/02/01 12:21:39 - mmengine - INFO - Epoch(train) [102][ 220/1879] lr: 7.9093e-02 eta: 1 day, 17:02:41 time: 0.4960 data_time: 0.0366 memory: 18108 grad_norm: 3.2623 loss: 4.4178 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5288 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.8890 2023/02/01 12:21:39 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 12:21:49 - mmengine - INFO - Epoch(train) [102][ 240/1879] lr: 7.9087e-02 eta: 1 day, 17:02:30 time: 0.5022 data_time: 0.0291 memory: 18108 grad_norm: 3.1876 loss: 4.2771 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5086 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7685 2023/02/01 12:21:58 - mmengine - INFO - Epoch(train) [102][ 260/1879] lr: 7.9081e-02 eta: 1 day, 17:02:19 time: 0.4785 data_time: 0.0357 memory: 18108 grad_norm: 3.2202 loss: 4.5171 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6109 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.9062 2023/02/01 12:22:08 - mmengine - INFO - Epoch(train) [102][ 280/1879] lr: 7.9074e-02 eta: 1 day, 17:02:08 time: 0.4852 data_time: 0.0311 memory: 18108 grad_norm: 3.1838 loss: 4.4977 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6808 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.8170 2023/02/01 12:22:18 - mmengine - INFO - Epoch(train) [102][ 300/1879] lr: 7.9068e-02 eta: 1 day, 17:01:58 time: 0.5019 data_time: 0.0466 memory: 18108 grad_norm: 3.1580 loss: 4.4773 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7193 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7580 2023/02/01 12:22:28 - mmengine - INFO - Epoch(train) [102][ 320/1879] lr: 7.9062e-02 eta: 1 day, 17:01:47 time: 0.4765 data_time: 0.0313 memory: 18108 grad_norm: 3.1677 loss: 3.8622 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.0857 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.7765 2023/02/01 12:22:38 - mmengine - INFO - Epoch(train) [102][ 340/1879] lr: 7.9056e-02 eta: 1 day, 17:01:36 time: 0.4886 data_time: 0.0370 memory: 18108 grad_norm: 3.1447 loss: 4.0737 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2786 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.7951 2023/02/01 12:22:47 - mmengine - INFO - Epoch(train) [102][ 360/1879] lr: 7.9050e-02 eta: 1 day, 17:01:25 time: 0.4823 data_time: 0.0296 memory: 18108 grad_norm: 3.1872 loss: 4.1722 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3360 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8362 2023/02/01 12:22:57 - mmengine - INFO - Epoch(train) [102][ 380/1879] lr: 7.9044e-02 eta: 1 day, 17:01:15 time: 0.4992 data_time: 0.0372 memory: 18108 grad_norm: 3.2640 loss: 4.5728 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7321 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.8407 2023/02/01 12:23:07 - mmengine - INFO - Epoch(train) [102][ 400/1879] lr: 7.9038e-02 eta: 1 day, 17:01:04 time: 0.4795 data_time: 0.0313 memory: 18108 grad_norm: 3.1733 loss: 4.4418 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6012 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.8405 2023/02/01 12:23:17 - mmengine - INFO - Epoch(train) [102][ 420/1879] lr: 7.9032e-02 eta: 1 day, 17:00:53 time: 0.4940 data_time: 0.0381 memory: 18108 grad_norm: 3.2019 loss: 4.3743 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6591 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.7152 2023/02/01 12:23:26 - mmengine - INFO - Epoch(train) [102][ 440/1879] lr: 7.9025e-02 eta: 1 day, 17:00:42 time: 0.4786 data_time: 0.0302 memory: 18108 grad_norm: 3.1988 loss: 4.4440 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6380 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.8060 2023/02/01 12:23:36 - mmengine - INFO - Epoch(train) [102][ 460/1879] lr: 7.9019e-02 eta: 1 day, 17:00:32 time: 0.5112 data_time: 0.0354 memory: 18108 grad_norm: 3.1024 loss: 4.1928 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3752 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.8176 2023/02/01 12:23:46 - mmengine - INFO - Epoch(train) [102][ 480/1879] lr: 7.9013e-02 eta: 1 day, 17:00:21 time: 0.4796 data_time: 0.0306 memory: 18108 grad_norm: 3.1834 loss: 4.3942 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6455 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.7487 2023/02/01 12:23:56 - mmengine - INFO - Epoch(train) [102][ 500/1879] lr: 7.9007e-02 eta: 1 day, 17:00:10 time: 0.4903 data_time: 0.0358 memory: 18108 grad_norm: 3.1872 loss: 4.1852 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3854 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7998 2023/02/01 12:24:06 - mmengine - INFO - Epoch(train) [102][ 520/1879] lr: 7.9001e-02 eta: 1 day, 16:59:59 time: 0.4812 data_time: 0.0305 memory: 18108 grad_norm: 3.2194 loss: 4.2546 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4377 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8169 2023/02/01 12:24:16 - mmengine - INFO - Epoch(train) [102][ 540/1879] lr: 7.8995e-02 eta: 1 day, 16:59:49 time: 0.5047 data_time: 0.0426 memory: 18108 grad_norm: 3.2291 loss: 4.5355 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6869 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.8486 2023/02/01 12:24:25 - mmengine - INFO - Epoch(train) [102][ 560/1879] lr: 7.8989e-02 eta: 1 day, 16:59:38 time: 0.4771 data_time: 0.0310 memory: 18108 grad_norm: 3.1024 loss: 4.3997 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5418 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.8579 2023/02/01 12:24:35 - mmengine - INFO - Epoch(train) [102][ 580/1879] lr: 7.8982e-02 eta: 1 day, 16:59:28 time: 0.4947 data_time: 0.0361 memory: 18108 grad_norm: 3.0997 loss: 4.4737 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6417 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8320 2023/02/01 12:24:45 - mmengine - INFO - Epoch(train) [102][ 600/1879] lr: 7.8976e-02 eta: 1 day, 16:59:17 time: 0.4869 data_time: 0.0311 memory: 18108 grad_norm: 3.1544 loss: 4.2518 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3817 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.8701 2023/02/01 12:24:55 - mmengine - INFO - Epoch(train) [102][ 620/1879] lr: 7.8970e-02 eta: 1 day, 16:59:06 time: 0.4943 data_time: 0.0353 memory: 18108 grad_norm: 3.1546 loss: 4.4288 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5508 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8780 2023/02/01 12:25:05 - mmengine - INFO - Epoch(train) [102][ 640/1879] lr: 7.8964e-02 eta: 1 day, 16:58:55 time: 0.4868 data_time: 0.0289 memory: 18108 grad_norm: 3.1566 loss: 4.4263 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.6003 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.8260 2023/02/01 12:25:14 - mmengine - INFO - Epoch(train) [102][ 660/1879] lr: 7.8958e-02 eta: 1 day, 16:58:44 time: 0.4780 data_time: 0.0346 memory: 18108 grad_norm: 3.2199 loss: 4.2861 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4883 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.7978 2023/02/01 12:25:24 - mmengine - INFO - Epoch(train) [102][ 680/1879] lr: 7.8952e-02 eta: 1 day, 16:58:34 time: 0.4959 data_time: 0.0315 memory: 18108 grad_norm: 3.1766 loss: 4.4591 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5880 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.8711 2023/02/01 12:25:34 - mmengine - INFO - Epoch(train) [102][ 700/1879] lr: 7.8946e-02 eta: 1 day, 16:58:23 time: 0.4894 data_time: 0.0450 memory: 18108 grad_norm: 3.1642 loss: 4.2105 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.4659 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.7446 2023/02/01 12:25:43 - mmengine - INFO - Epoch(train) [102][ 720/1879] lr: 7.8939e-02 eta: 1 day, 16:58:12 time: 0.4817 data_time: 0.0323 memory: 18108 grad_norm: 3.1614 loss: 4.1988 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3870 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.8118 2023/02/01 12:25:53 - mmengine - INFO - Epoch(train) [102][ 740/1879] lr: 7.8933e-02 eta: 1 day, 16:58:01 time: 0.4854 data_time: 0.0366 memory: 18108 grad_norm: 3.1911 loss: 4.2647 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4613 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.8035 2023/02/01 12:26:03 - mmengine - INFO - Epoch(train) [102][ 760/1879] lr: 7.8927e-02 eta: 1 day, 16:57:51 time: 0.4906 data_time: 0.0300 memory: 18108 grad_norm: 3.1934 loss: 4.3008 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5148 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.7860 2023/02/01 12:26:13 - mmengine - INFO - Epoch(train) [102][ 780/1879] lr: 7.8921e-02 eta: 1 day, 16:57:40 time: 0.4991 data_time: 0.0415 memory: 18108 grad_norm: 3.1555 loss: 4.1542 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.4127 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7415 2023/02/01 12:26:23 - mmengine - INFO - Epoch(train) [102][ 800/1879] lr: 7.8915e-02 eta: 1 day, 16:57:29 time: 0.4818 data_time: 0.0307 memory: 18108 grad_norm: 3.1118 loss: 4.2956 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4654 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 1.8302 2023/02/01 12:26:33 - mmengine - INFO - Epoch(train) [102][ 820/1879] lr: 7.8909e-02 eta: 1 day, 16:57:19 time: 0.4958 data_time: 0.0368 memory: 18108 grad_norm: 3.1471 loss: 4.2864 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5295 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7569 2023/02/01 12:26:43 - mmengine - INFO - Epoch(train) [102][ 840/1879] lr: 7.8903e-02 eta: 1 day, 16:57:08 time: 0.4961 data_time: 0.0310 memory: 18108 grad_norm: 3.2577 loss: 4.3188 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5820 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7368 2023/02/01 12:26:52 - mmengine - INFO - Epoch(train) [102][ 860/1879] lr: 7.8896e-02 eta: 1 day, 16:56:58 time: 0.4971 data_time: 0.0446 memory: 18108 grad_norm: 3.1952 loss: 4.4808 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6094 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.8714 2023/02/01 12:27:02 - mmengine - INFO - Epoch(train) [102][ 880/1879] lr: 7.8890e-02 eta: 1 day, 16:56:47 time: 0.4821 data_time: 0.0310 memory: 18108 grad_norm: 3.0802 loss: 4.1837 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4339 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7498 2023/02/01 12:27:12 - mmengine - INFO - Epoch(train) [102][ 900/1879] lr: 7.8884e-02 eta: 1 day, 16:56:36 time: 0.4966 data_time: 0.0368 memory: 18108 grad_norm: 3.2233 loss: 4.2003 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4387 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.7615 2023/02/01 12:27:22 - mmengine - INFO - Epoch(train) [102][ 920/1879] lr: 7.8878e-02 eta: 1 day, 16:56:26 time: 0.4910 data_time: 0.0304 memory: 18108 grad_norm: 3.1194 loss: 4.0501 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.2625 top1_acc_1: 0.4235 top5_acc_1: 0.6824 loss_cls_1: 1.7875 2023/02/01 12:27:32 - mmengine - INFO - Epoch(train) [102][ 940/1879] lr: 7.8872e-02 eta: 1 day, 16:56:15 time: 0.4985 data_time: 0.0353 memory: 18108 grad_norm: 3.2199 loss: 4.3748 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6480 top1_acc_1: 0.5765 top5_acc_1: 0.6941 loss_cls_1: 1.7268 2023/02/01 12:27:42 - mmengine - INFO - Epoch(train) [102][ 960/1879] lr: 7.8866e-02 eta: 1 day, 16:56:05 time: 0.4991 data_time: 0.0328 memory: 18108 grad_norm: 3.1639 loss: 4.5164 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.7369 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.7795 2023/02/01 12:27:52 - mmengine - INFO - Epoch(train) [102][ 980/1879] lr: 7.8860e-02 eta: 1 day, 16:55:55 time: 0.5247 data_time: 0.0299 memory: 18108 grad_norm: 3.1970 loss: 4.4142 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6450 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.7693 2023/02/01 12:28:03 - mmengine - INFO - Epoch(train) [102][1000/1879] lr: 7.8853e-02 eta: 1 day, 16:55:46 time: 0.5247 data_time: 0.0400 memory: 18108 grad_norm: 3.2191 loss: 4.1622 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3877 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7744 2023/02/01 12:28:13 - mmengine - INFO - Epoch(train) [102][1020/1879] lr: 7.8847e-02 eta: 1 day, 16:55:36 time: 0.5189 data_time: 0.0328 memory: 18108 grad_norm: 3.2186 loss: 4.3758 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5491 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 1.8267 2023/02/01 12:28:24 - mmengine - INFO - Epoch(train) [102][1040/1879] lr: 7.8841e-02 eta: 1 day, 16:55:26 time: 0.5311 data_time: 0.0372 memory: 18108 grad_norm: 3.2188 loss: 4.5425 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.7299 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.8126 2023/02/01 12:28:35 - mmengine - INFO - Epoch(train) [102][1060/1879] lr: 7.8835e-02 eta: 1 day, 16:55:17 time: 0.5340 data_time: 0.0346 memory: 18108 grad_norm: 3.1633 loss: 4.1463 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4408 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.7056 2023/02/01 12:28:45 - mmengine - INFO - Epoch(train) [102][1080/1879] lr: 7.8829e-02 eta: 1 day, 16:55:07 time: 0.5161 data_time: 0.0330 memory: 18108 grad_norm: 3.1362 loss: 4.3096 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5026 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8070 2023/02/01 12:28:55 - mmengine - INFO - Epoch(train) [102][1100/1879] lr: 7.8823e-02 eta: 1 day, 16:54:57 time: 0.5226 data_time: 0.0322 memory: 18108 grad_norm: 3.1597 loss: 4.3062 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4407 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 1.8655 2023/02/01 12:29:06 - mmengine - INFO - Epoch(train) [102][1120/1879] lr: 7.8816e-02 eta: 1 day, 16:54:47 time: 0.5081 data_time: 0.0326 memory: 18108 grad_norm: 3.1982 loss: 4.1902 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3117 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.8785 2023/02/01 12:29:16 - mmengine - INFO - Epoch(train) [102][1140/1879] lr: 7.8810e-02 eta: 1 day, 16:54:37 time: 0.5206 data_time: 0.0418 memory: 18108 grad_norm: 3.1168 loss: 4.3075 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4380 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.8696 2023/02/01 12:29:26 - mmengine - INFO - Epoch(train) [102][1160/1879] lr: 7.8804e-02 eta: 1 day, 16:54:28 time: 0.5194 data_time: 0.0331 memory: 18108 grad_norm: 3.1915 loss: 4.3777 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6151 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.7626 2023/02/01 12:29:37 - mmengine - INFO - Epoch(train) [102][1180/1879] lr: 7.8798e-02 eta: 1 day, 16:54:17 time: 0.5047 data_time: 0.0337 memory: 18108 grad_norm: 3.2010 loss: 4.3816 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5114 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8702 2023/02/01 12:29:47 - mmengine - INFO - Epoch(train) [102][1200/1879] lr: 7.8792e-02 eta: 1 day, 16:54:07 time: 0.5094 data_time: 0.0413 memory: 18108 grad_norm: 3.1912 loss: 4.4308 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5690 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 1.8618 2023/02/01 12:29:57 - mmengine - INFO - Epoch(train) [102][1220/1879] lr: 7.8786e-02 eta: 1 day, 16:53:58 time: 0.5182 data_time: 0.0337 memory: 18108 grad_norm: 3.1287 loss: 4.3087 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5244 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.7843 2023/02/01 12:29:58 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 12:30:07 - mmengine - INFO - Epoch(train) [102][1240/1879] lr: 7.8780e-02 eta: 1 day, 16:53:48 time: 0.5164 data_time: 0.0352 memory: 18108 grad_norm: 3.2718 loss: 4.1904 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3388 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.8516 2023/02/01 12:30:18 - mmengine - INFO - Epoch(train) [102][1260/1879] lr: 7.8773e-02 eta: 1 day, 16:53:37 time: 0.5044 data_time: 0.0387 memory: 18108 grad_norm: 3.2184 loss: 4.5009 top1_acc_0: 0.1875 top5_acc_0: 0.2500 loss_cls_0: 2.6468 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.8541 2023/02/01 12:30:28 - mmengine - INFO - Epoch(train) [102][1280/1879] lr: 7.8767e-02 eta: 1 day, 16:53:28 time: 0.5174 data_time: 0.0348 memory: 18108 grad_norm: 3.2252 loss: 4.6470 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.9340 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.7131 2023/02/01 12:30:38 - mmengine - INFO - Epoch(train) [102][1300/1879] lr: 7.8761e-02 eta: 1 day, 16:53:18 time: 0.5232 data_time: 0.0321 memory: 18108 grad_norm: 3.1116 loss: 4.2532 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4244 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.8288 2023/02/01 12:30:49 - mmengine - INFO - Epoch(train) [102][1320/1879] lr: 7.8755e-02 eta: 1 day, 16:53:08 time: 0.5067 data_time: 0.0328 memory: 18108 grad_norm: 3.1249 loss: 4.3517 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5634 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.7883 2023/02/01 12:30:58 - mmengine - INFO - Epoch(train) [102][1340/1879] lr: 7.8749e-02 eta: 1 day, 16:52:57 time: 0.4973 data_time: 0.0378 memory: 18108 grad_norm: 3.0829 loss: 4.3997 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.5500 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.8497 2023/02/01 12:31:09 - mmengine - INFO - Epoch(train) [102][1360/1879] lr: 7.8743e-02 eta: 1 day, 16:52:47 time: 0.5125 data_time: 0.0334 memory: 18108 grad_norm: 3.1492 loss: 4.2450 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4181 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8270 2023/02/01 12:31:19 - mmengine - INFO - Epoch(train) [102][1380/1879] lr: 7.8736e-02 eta: 1 day, 16:52:37 time: 0.4961 data_time: 0.0299 memory: 18108 grad_norm: 3.1728 loss: 4.3069 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5000 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.8069 2023/02/01 12:31:29 - mmengine - INFO - Epoch(train) [102][1400/1879] lr: 7.8730e-02 eta: 1 day, 16:52:26 time: 0.4962 data_time: 0.0394 memory: 18108 grad_norm: 3.2158 loss: 4.5851 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7811 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8040 2023/02/01 12:31:39 - mmengine - INFO - Epoch(train) [102][1420/1879] lr: 7.8724e-02 eta: 1 day, 16:52:16 time: 0.5013 data_time: 0.0345 memory: 18108 grad_norm: 3.2636 loss: 4.3598 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.5808 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7790 2023/02/01 12:31:49 - mmengine - INFO - Epoch(train) [102][1440/1879] lr: 7.8718e-02 eta: 1 day, 16:52:06 time: 0.5032 data_time: 0.0327 memory: 18108 grad_norm: 3.2580 loss: 4.2067 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4004 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.8063 2023/02/01 12:31:59 - mmengine - INFO - Epoch(train) [102][1460/1879] lr: 7.8712e-02 eta: 1 day, 16:51:55 time: 0.4944 data_time: 0.0349 memory: 18108 grad_norm: 3.1891 loss: 4.4976 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6738 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.8238 2023/02/01 12:32:09 - mmengine - INFO - Epoch(train) [102][1480/1879] lr: 7.8706e-02 eta: 1 day, 16:51:45 time: 0.5005 data_time: 0.0383 memory: 18108 grad_norm: 3.1963 loss: 4.1879 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.4475 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.7405 2023/02/01 12:32:19 - mmengine - INFO - Epoch(train) [102][1500/1879] lr: 7.8699e-02 eta: 1 day, 16:51:34 time: 0.5080 data_time: 0.0349 memory: 18108 grad_norm: 3.1432 loss: 4.3721 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5598 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.8123 2023/02/01 12:32:29 - mmengine - INFO - Epoch(train) [102][1520/1879] lr: 7.8693e-02 eta: 1 day, 16:51:24 time: 0.4983 data_time: 0.0309 memory: 18108 grad_norm: 3.1573 loss: 4.2520 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4424 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.8097 2023/02/01 12:32:39 - mmengine - INFO - Epoch(train) [102][1540/1879] lr: 7.8687e-02 eta: 1 day, 16:51:14 time: 0.4976 data_time: 0.0343 memory: 18108 grad_norm: 3.2186 loss: 4.3894 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5744 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.8150 2023/02/01 12:32:49 - mmengine - INFO - Epoch(train) [102][1560/1879] lr: 7.8681e-02 eta: 1 day, 16:51:03 time: 0.5067 data_time: 0.0397 memory: 18108 grad_norm: 3.1759 loss: 4.4096 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5812 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 1.8284 2023/02/01 12:32:59 - mmengine - INFO - Epoch(train) [102][1580/1879] lr: 7.8675e-02 eta: 1 day, 16:50:53 time: 0.5052 data_time: 0.0343 memory: 18108 grad_norm: 3.1273 loss: 4.1258 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.3467 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7790 2023/02/01 12:33:09 - mmengine - INFO - Epoch(train) [102][1600/1879] lr: 7.8669e-02 eta: 1 day, 16:50:43 time: 0.4930 data_time: 0.0322 memory: 18108 grad_norm: 3.1101 loss: 4.2767 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5206 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.7561 2023/02/01 12:33:19 - mmengine - INFO - Epoch(train) [102][1620/1879] lr: 7.8662e-02 eta: 1 day, 16:50:32 time: 0.4948 data_time: 0.0333 memory: 18108 grad_norm: 3.1031 loss: 4.3593 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4581 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.9013 2023/02/01 12:33:29 - mmengine - INFO - Epoch(train) [102][1640/1879] lr: 7.8656e-02 eta: 1 day, 16:50:22 time: 0.4973 data_time: 0.0315 memory: 18108 grad_norm: 3.1662 loss: 4.4913 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5706 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.9207 2023/02/01 12:33:39 - mmengine - INFO - Epoch(train) [102][1660/1879] lr: 7.8650e-02 eta: 1 day, 16:50:12 time: 0.5319 data_time: 0.0307 memory: 18108 grad_norm: 3.1507 loss: 4.4118 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5990 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.8128 2023/02/01 12:33:50 - mmengine - INFO - Epoch(train) [102][1680/1879] lr: 7.8644e-02 eta: 1 day, 16:50:02 time: 0.5180 data_time: 0.0299 memory: 18108 grad_norm: 3.1252 loss: 4.3061 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5771 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.7290 2023/02/01 12:34:00 - mmengine - INFO - Epoch(train) [102][1700/1879] lr: 7.8638e-02 eta: 1 day, 16:49:52 time: 0.5076 data_time: 0.0319 memory: 18108 grad_norm: 3.1128 loss: 4.3842 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6750 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.7092 2023/02/01 12:34:10 - mmengine - INFO - Epoch(train) [102][1720/1879] lr: 7.8632e-02 eta: 1 day, 16:49:42 time: 0.5148 data_time: 0.0333 memory: 18108 grad_norm: 3.1591 loss: 4.3870 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5529 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 1.8341 2023/02/01 12:34:21 - mmengine - INFO - Epoch(train) [102][1740/1879] lr: 7.8625e-02 eta: 1 day, 16:49:32 time: 0.5157 data_time: 0.0339 memory: 18108 grad_norm: 3.2016 loss: 4.3059 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4996 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.8064 2023/02/01 12:34:31 - mmengine - INFO - Epoch(train) [102][1760/1879] lr: 7.8619e-02 eta: 1 day, 16:49:22 time: 0.4958 data_time: 0.0323 memory: 18108 grad_norm: 3.1565 loss: 4.2321 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3340 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.8980 2023/02/01 12:34:41 - mmengine - INFO - Epoch(train) [102][1780/1879] lr: 7.8613e-02 eta: 1 day, 16:49:12 time: 0.5223 data_time: 0.0331 memory: 18108 grad_norm: 3.1775 loss: 4.3366 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4413 top1_acc_1: 0.5765 top5_acc_1: 0.8941 loss_cls_1: 1.8952 2023/02/01 12:34:51 - mmengine - INFO - Epoch(train) [102][1800/1879] lr: 7.8607e-02 eta: 1 day, 16:49:02 time: 0.5030 data_time: 0.0326 memory: 18108 grad_norm: 3.1990 loss: 4.2931 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5064 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.7867 2023/02/01 12:35:01 - mmengine - INFO - Epoch(train) [102][1820/1879] lr: 7.8601e-02 eta: 1 day, 16:48:52 time: 0.5096 data_time: 0.0333 memory: 18108 grad_norm: 3.1994 loss: 4.3808 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5636 top1_acc_1: 0.6471 top5_acc_1: 0.7529 loss_cls_1: 1.8171 2023/02/01 12:35:11 - mmengine - INFO - Epoch(train) [102][1840/1879] lr: 7.8594e-02 eta: 1 day, 16:48:41 time: 0.4977 data_time: 0.0341 memory: 18108 grad_norm: 3.2354 loss: 4.3215 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5105 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.8110 2023/02/01 12:35:22 - mmengine - INFO - Epoch(train) [102][1860/1879] lr: 7.8588e-02 eta: 1 day, 16:48:32 time: 0.5321 data_time: 0.0310 memory: 18108 grad_norm: 3.1677 loss: 4.4152 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6240 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.7912 2023/02/01 12:35:31 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 12:35:31 - mmengine - INFO - Epoch(train) [102][1879/1879] lr: 7.8582e-02 eta: 1 day, 16:48:22 time: 0.4974 data_time: 0.0302 memory: 18108 grad_norm: 3.2743 loss: 4.3864 top1_acc_0: 0.2857 top5_acc_0: 0.7143 loss_cls_0: 2.5710 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.8154 2023/02/01 12:35:46 - mmengine - INFO - Epoch(train) [103][ 20/1879] lr: 7.8576e-02 eta: 1 day, 16:48:18 time: 0.7194 data_time: 0.2511 memory: 18108 grad_norm: 3.1356 loss: 4.3330 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5215 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.8116 2023/02/01 12:35:56 - mmengine - INFO - Epoch(train) [103][ 40/1879] lr: 7.8570e-02 eta: 1 day, 16:48:07 time: 0.4738 data_time: 0.0296 memory: 18108 grad_norm: 3.1360 loss: 4.2527 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4487 top1_acc_1: 0.4941 top5_acc_1: 0.8118 loss_cls_1: 1.8040 2023/02/01 12:36:06 - mmengine - INFO - Epoch(train) [103][ 60/1879] lr: 7.8564e-02 eta: 1 day, 16:47:56 time: 0.4839 data_time: 0.0362 memory: 18108 grad_norm: 3.1422 loss: 4.4720 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5856 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.8865 2023/02/01 12:36:16 - mmengine - INFO - Epoch(train) [103][ 80/1879] lr: 7.8558e-02 eta: 1 day, 16:47:46 time: 0.5150 data_time: 0.0322 memory: 18108 grad_norm: 3.1566 loss: 4.1206 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3097 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8109 2023/02/01 12:36:26 - mmengine - INFO - Epoch(train) [103][ 100/1879] lr: 7.8552e-02 eta: 1 day, 16:47:35 time: 0.4843 data_time: 0.0375 memory: 18108 grad_norm: 3.2947 loss: 4.2830 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5208 top1_acc_1: 0.5765 top5_acc_1: 0.8824 loss_cls_1: 1.7622 2023/02/01 12:36:35 - mmengine - INFO - Epoch(train) [103][ 120/1879] lr: 7.8545e-02 eta: 1 day, 16:47:24 time: 0.4720 data_time: 0.0318 memory: 18108 grad_norm: 3.1471 loss: 4.2730 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.4866 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7864 2023/02/01 12:36:45 - mmengine - INFO - Epoch(train) [103][ 140/1879] lr: 7.8539e-02 eta: 1 day, 16:47:14 time: 0.5167 data_time: 0.0371 memory: 18108 grad_norm: 3.1551 loss: 4.0177 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2535 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.7641 2023/02/01 12:36:55 - mmengine - INFO - Epoch(train) [103][ 160/1879] lr: 7.8533e-02 eta: 1 day, 16:47:04 time: 0.4980 data_time: 0.0373 memory: 18108 grad_norm: 3.2081 loss: 4.2824 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5707 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7117 2023/02/01 12:37:06 - mmengine - INFO - Epoch(train) [103][ 180/1879] lr: 7.8527e-02 eta: 1 day, 16:46:54 time: 0.5052 data_time: 0.0377 memory: 18108 grad_norm: 3.1736 loss: 4.3778 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5358 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8420 2023/02/01 12:37:16 - mmengine - INFO - Epoch(train) [103][ 200/1879] lr: 7.8521e-02 eta: 1 day, 16:46:43 time: 0.5085 data_time: 0.0314 memory: 18108 grad_norm: 3.1793 loss: 4.1861 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3740 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.8122 2023/02/01 12:37:26 - mmengine - INFO - Epoch(train) [103][ 220/1879] lr: 7.8514e-02 eta: 1 day, 16:46:34 time: 0.5205 data_time: 0.0344 memory: 18108 grad_norm: 3.1723 loss: 4.1240 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3939 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.7301 2023/02/01 12:37:36 - mmengine - INFO - Epoch(train) [103][ 240/1879] lr: 7.8508e-02 eta: 1 day, 16:46:23 time: 0.5074 data_time: 0.0300 memory: 18108 grad_norm: 3.1829 loss: 4.4082 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6158 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7925 2023/02/01 12:37:46 - mmengine - INFO - Epoch(train) [103][ 260/1879] lr: 7.8502e-02 eta: 1 day, 16:46:13 time: 0.5057 data_time: 0.0327 memory: 18108 grad_norm: 3.2033 loss: 4.1395 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.3599 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.7796 2023/02/01 12:37:56 - mmengine - INFO - Epoch(train) [103][ 280/1879] lr: 7.8496e-02 eta: 1 day, 16:46:03 time: 0.4996 data_time: 0.0309 memory: 18108 grad_norm: 3.1633 loss: 4.1154 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3271 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.7883 2023/02/01 12:38:07 - mmengine - INFO - Epoch(train) [103][ 300/1879] lr: 7.8490e-02 eta: 1 day, 16:45:53 time: 0.5234 data_time: 0.0429 memory: 18108 grad_norm: 3.1432 loss: 4.0745 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.3367 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.7377 2023/02/01 12:38:17 - mmengine - INFO - Epoch(train) [103][ 320/1879] lr: 7.8483e-02 eta: 1 day, 16:45:43 time: 0.4988 data_time: 0.0315 memory: 18108 grad_norm: 3.1361 loss: 4.2538 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.4519 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8018 2023/02/01 12:38:27 - mmengine - INFO - Epoch(train) [103][ 340/1879] lr: 7.8477e-02 eta: 1 day, 16:45:33 time: 0.5139 data_time: 0.0338 memory: 18108 grad_norm: 3.1661 loss: 4.1184 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3188 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.7996 2023/02/01 12:38:28 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 12:38:37 - mmengine - INFO - Epoch(train) [103][ 360/1879] lr: 7.8471e-02 eta: 1 day, 16:45:22 time: 0.5014 data_time: 0.0329 memory: 18108 grad_norm: 3.1938 loss: 4.4046 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5862 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.8184 2023/02/01 12:38:47 - mmengine - INFO - Epoch(train) [103][ 380/1879] lr: 7.8465e-02 eta: 1 day, 16:45:12 time: 0.5088 data_time: 0.0353 memory: 18108 grad_norm: 3.2445 loss: 4.3856 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6273 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.7583 2023/02/01 12:38:58 - mmengine - INFO - Epoch(train) [103][ 400/1879] lr: 7.8459e-02 eta: 1 day, 16:45:02 time: 0.5075 data_time: 0.0309 memory: 18108 grad_norm: 3.1814 loss: 4.2465 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 2.4968 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7496 2023/02/01 12:39:08 - mmengine - INFO - Epoch(train) [103][ 420/1879] lr: 7.8453e-02 eta: 1 day, 16:44:52 time: 0.5040 data_time: 0.0344 memory: 18108 grad_norm: 3.1472 loss: 4.1679 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3463 top1_acc_1: 0.4588 top5_acc_1: 0.7412 loss_cls_1: 1.8216 2023/02/01 12:39:18 - mmengine - INFO - Epoch(train) [103][ 440/1879] lr: 7.8446e-02 eta: 1 day, 16:44:42 time: 0.5039 data_time: 0.0303 memory: 18108 grad_norm: 3.2502 loss: 4.2535 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4660 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.7875 2023/02/01 12:39:28 - mmengine - INFO - Epoch(train) [103][ 460/1879] lr: 7.8440e-02 eta: 1 day, 16:44:32 time: 0.5336 data_time: 0.0452 memory: 18108 grad_norm: 3.1348 loss: 4.2199 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4191 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.8008 2023/02/01 12:39:39 - mmengine - INFO - Epoch(train) [103][ 480/1879] lr: 7.8434e-02 eta: 1 day, 16:44:22 time: 0.4998 data_time: 0.0291 memory: 18108 grad_norm: 3.1716 loss: 4.2837 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5236 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.7601 2023/02/01 12:39:49 - mmengine - INFO - Epoch(train) [103][ 500/1879] lr: 7.8428e-02 eta: 1 day, 16:44:12 time: 0.5283 data_time: 0.0356 memory: 18108 grad_norm: 3.1146 loss: 4.2494 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4637 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.7857 2023/02/01 12:39:59 - mmengine - INFO - Epoch(train) [103][ 520/1879] lr: 7.8422e-02 eta: 1 day, 16:44:02 time: 0.5065 data_time: 0.0362 memory: 18108 grad_norm: 3.0712 loss: 4.2164 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4519 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7645 2023/02/01 12:40:10 - mmengine - INFO - Epoch(train) [103][ 540/1879] lr: 7.8415e-02 eta: 1 day, 16:43:52 time: 0.5166 data_time: 0.0387 memory: 18108 grad_norm: 3.2038 loss: 4.2758 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4113 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.8645 2023/02/01 12:40:20 - mmengine - INFO - Epoch(train) [103][ 560/1879] lr: 7.8409e-02 eta: 1 day, 16:43:42 time: 0.4996 data_time: 0.0304 memory: 18108 grad_norm: 3.1991 loss: 4.3523 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5820 top1_acc_1: 0.5059 top5_acc_1: 0.8588 loss_cls_1: 1.7703 2023/02/01 12:40:31 - mmengine - INFO - Epoch(train) [103][ 580/1879] lr: 7.8403e-02 eta: 1 day, 16:43:33 time: 0.5537 data_time: 0.0363 memory: 18108 grad_norm: 3.2146 loss: 4.2990 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5149 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7841 2023/02/01 12:40:41 - mmengine - INFO - Epoch(train) [103][ 600/1879] lr: 7.8397e-02 eta: 1 day, 16:43:23 time: 0.5071 data_time: 0.0284 memory: 18108 grad_norm: 3.0807 loss: 4.1310 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3466 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.7844 2023/02/01 12:40:51 - mmengine - INFO - Epoch(train) [103][ 620/1879] lr: 7.8391e-02 eta: 1 day, 16:43:13 time: 0.5182 data_time: 0.0353 memory: 18108 grad_norm: 3.1198 loss: 4.4148 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6428 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7720 2023/02/01 12:41:02 - mmengine - INFO - Epoch(train) [103][ 640/1879] lr: 7.8384e-02 eta: 1 day, 16:43:04 time: 0.5320 data_time: 0.0363 memory: 18108 grad_norm: 3.1520 loss: 4.2697 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 2.4231 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.8466 2023/02/01 12:41:12 - mmengine - INFO - Epoch(train) [103][ 660/1879] lr: 7.8378e-02 eta: 1 day, 16:42:53 time: 0.5068 data_time: 0.0357 memory: 18108 grad_norm: 3.1629 loss: 4.4106 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5266 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8840 2023/02/01 12:41:22 - mmengine - INFO - Epoch(train) [103][ 680/1879] lr: 7.8372e-02 eta: 1 day, 16:42:43 time: 0.5065 data_time: 0.0311 memory: 18108 grad_norm: 3.2364 loss: 4.2480 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4380 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.8100 2023/02/01 12:41:33 - mmengine - INFO - Epoch(train) [103][ 700/1879] lr: 7.8366e-02 eta: 1 day, 16:42:34 time: 0.5274 data_time: 0.0454 memory: 18108 grad_norm: 3.1775 loss: 4.2661 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.5314 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.7347 2023/02/01 12:41:43 - mmengine - INFO - Epoch(train) [103][ 720/1879] lr: 7.8360e-02 eta: 1 day, 16:42:24 time: 0.5268 data_time: 0.0287 memory: 18108 grad_norm: 3.1387 loss: 4.1804 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.2749 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.9056 2023/02/01 12:41:53 - mmengine - INFO - Epoch(train) [103][ 740/1879] lr: 7.8353e-02 eta: 1 day, 16:42:14 time: 0.5065 data_time: 0.0375 memory: 18108 grad_norm: 3.1525 loss: 4.3388 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5252 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8136 2023/02/01 12:42:04 - mmengine - INFO - Epoch(train) [103][ 760/1879] lr: 7.8347e-02 eta: 1 day, 16:42:04 time: 0.5077 data_time: 0.0296 memory: 18108 grad_norm: 3.2506 loss: 4.2983 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5242 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.7742 2023/02/01 12:42:14 - mmengine - INFO - Epoch(train) [103][ 780/1879] lr: 7.8341e-02 eta: 1 day, 16:41:55 time: 0.5384 data_time: 0.0366 memory: 18108 grad_norm: 3.1932 loss: 4.1175 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2702 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8473 2023/02/01 12:42:24 - mmengine - INFO - Epoch(train) [103][ 800/1879] lr: 7.8335e-02 eta: 1 day, 16:41:44 time: 0.5060 data_time: 0.0286 memory: 18108 grad_norm: 3.1433 loss: 4.2755 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4686 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.8069 2023/02/01 12:42:35 - mmengine - INFO - Epoch(train) [103][ 820/1879] lr: 7.8329e-02 eta: 1 day, 16:41:34 time: 0.5123 data_time: 0.0380 memory: 18108 grad_norm: 3.1547 loss: 4.3684 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7003 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.6681 2023/02/01 12:42:46 - mmengine - INFO - Epoch(train) [103][ 840/1879] lr: 7.8322e-02 eta: 1 day, 16:41:25 time: 0.5408 data_time: 0.0352 memory: 18108 grad_norm: 3.2149 loss: 4.3038 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5041 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.7997 2023/02/01 12:42:56 - mmengine - INFO - Epoch(train) [103][ 860/1879] lr: 7.8316e-02 eta: 1 day, 16:41:15 time: 0.5204 data_time: 0.0353 memory: 18108 grad_norm: 3.1239 loss: 4.2615 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.4576 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.8040 2023/02/01 12:43:07 - mmengine - INFO - Epoch(train) [103][ 880/1879] lr: 7.8310e-02 eta: 1 day, 16:41:06 time: 0.5272 data_time: 0.0300 memory: 18108 grad_norm: 3.1579 loss: 4.2632 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.4853 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7779 2023/02/01 12:43:17 - mmengine - INFO - Epoch(train) [103][ 900/1879] lr: 7.8304e-02 eta: 1 day, 16:40:57 time: 0.5389 data_time: 0.0460 memory: 18108 grad_norm: 3.1980 loss: 4.2764 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.4894 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.7870 2023/02/01 12:43:28 - mmengine - INFO - Epoch(train) [103][ 920/1879] lr: 7.8298e-02 eta: 1 day, 16:40:47 time: 0.5378 data_time: 0.0283 memory: 18108 grad_norm: 3.1983 loss: 4.3460 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5488 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.7972 2023/02/01 12:43:38 - mmengine - INFO - Epoch(train) [103][ 940/1879] lr: 7.8291e-02 eta: 1 day, 16:40:38 time: 0.5179 data_time: 0.0359 memory: 18108 grad_norm: 3.1964 loss: 4.3742 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.6509 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.7233 2023/02/01 12:43:49 - mmengine - INFO - Epoch(train) [103][ 960/1879] lr: 7.8285e-02 eta: 1 day, 16:40:28 time: 0.5252 data_time: 0.0374 memory: 18108 grad_norm: 3.1797 loss: 4.1793 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3511 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8283 2023/02/01 12:44:00 - mmengine - INFO - Epoch(train) [103][ 980/1879] lr: 7.8279e-02 eta: 1 day, 16:40:18 time: 0.5274 data_time: 0.0330 memory: 18108 grad_norm: 3.2201 loss: 4.4091 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5549 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.8542 2023/02/01 12:44:10 - mmengine - INFO - Epoch(train) [103][1000/1879] lr: 7.8273e-02 eta: 1 day, 16:40:09 time: 0.5230 data_time: 0.0321 memory: 18108 grad_norm: 3.2185 loss: 4.5065 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.6685 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.8381 2023/02/01 12:44:20 - mmengine - INFO - Epoch(train) [103][1020/1879] lr: 7.8266e-02 eta: 1 day, 16:39:58 time: 0.5073 data_time: 0.0325 memory: 18108 grad_norm: 3.1730 loss: 4.4430 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5063 top1_acc_1: 0.4824 top5_acc_1: 0.8000 loss_cls_1: 1.9367 2023/02/01 12:44:31 - mmengine - INFO - Epoch(train) [103][1040/1879] lr: 7.8260e-02 eta: 1 day, 16:39:50 time: 0.5538 data_time: 0.0310 memory: 18108 grad_norm: 3.1970 loss: 4.1716 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3380 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.8336 2023/02/01 12:44:42 - mmengine - INFO - Epoch(train) [103][1060/1879] lr: 7.8254e-02 eta: 1 day, 16:39:40 time: 0.5257 data_time: 0.0335 memory: 18108 grad_norm: 3.1755 loss: 4.4182 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6261 top1_acc_1: 0.7059 top5_acc_1: 0.8235 loss_cls_1: 1.7921 2023/02/01 12:44:52 - mmengine - INFO - Epoch(train) [103][1080/1879] lr: 7.8248e-02 eta: 1 day, 16:39:30 time: 0.5190 data_time: 0.0322 memory: 18108 grad_norm: 3.1499 loss: 4.1409 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3085 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.8324 2023/02/01 12:45:03 - mmengine - INFO - Epoch(train) [103][1100/1879] lr: 7.8242e-02 eta: 1 day, 16:39:21 time: 0.5313 data_time: 0.0388 memory: 18108 grad_norm: 3.1692 loss: 4.1098 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3393 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7705 2023/02/01 12:45:13 - mmengine - INFO - Epoch(train) [103][1120/1879] lr: 7.8235e-02 eta: 1 day, 16:39:11 time: 0.5312 data_time: 0.0327 memory: 18108 grad_norm: 3.2055 loss: 4.3179 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5295 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7884 2023/02/01 12:45:24 - mmengine - INFO - Epoch(train) [103][1140/1879] lr: 7.8229e-02 eta: 1 day, 16:39:02 time: 0.5201 data_time: 0.0343 memory: 18108 grad_norm: 3.2504 loss: 4.4225 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5958 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.8267 2023/02/01 12:45:34 - mmengine - INFO - Epoch(train) [103][1160/1879] lr: 7.8223e-02 eta: 1 day, 16:38:52 time: 0.5291 data_time: 0.0406 memory: 18108 grad_norm: 3.1241 loss: 4.3209 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4930 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.8280 2023/02/01 12:45:45 - mmengine - INFO - Epoch(train) [103][1180/1879] lr: 7.8217e-02 eta: 1 day, 16:38:43 time: 0.5350 data_time: 0.0329 memory: 18108 grad_norm: 3.2202 loss: 4.6023 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7766 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.8258 2023/02/01 12:45:56 - mmengine - INFO - Epoch(train) [103][1200/1879] lr: 7.8211e-02 eta: 1 day, 16:38:33 time: 0.5261 data_time: 0.0319 memory: 18108 grad_norm: 3.1820 loss: 4.2333 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4607 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.7725 2023/02/01 12:46:06 - mmengine - INFO - Epoch(train) [103][1220/1879] lr: 7.8204e-02 eta: 1 day, 16:38:23 time: 0.5188 data_time: 0.0328 memory: 18108 grad_norm: 3.2357 loss: 4.3272 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6102 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.7170 2023/02/01 12:46:17 - mmengine - INFO - Epoch(train) [103][1240/1879] lr: 7.8198e-02 eta: 1 day, 16:38:14 time: 0.5354 data_time: 0.0422 memory: 18108 grad_norm: 3.1758 loss: 4.3615 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5156 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.8459 2023/02/01 12:46:27 - mmengine - INFO - Epoch(train) [103][1260/1879] lr: 7.8192e-02 eta: 1 day, 16:38:04 time: 0.5148 data_time: 0.0322 memory: 18108 grad_norm: 3.2248 loss: 4.5171 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.6899 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8271 2023/02/01 12:46:37 - mmengine - INFO - Epoch(train) [103][1280/1879] lr: 7.8186e-02 eta: 1 day, 16:37:54 time: 0.5161 data_time: 0.0344 memory: 18108 grad_norm: 3.2168 loss: 4.3893 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4780 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9113 2023/02/01 12:46:48 - mmengine - INFO - Epoch(train) [103][1300/1879] lr: 7.8179e-02 eta: 1 day, 16:37:44 time: 0.5242 data_time: 0.0316 memory: 18108 grad_norm: 3.1744 loss: 4.3741 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6096 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.7645 2023/02/01 12:46:59 - mmengine - INFO - Epoch(train) [103][1320/1879] lr: 7.8173e-02 eta: 1 day, 16:37:35 time: 0.5348 data_time: 0.0373 memory: 18108 grad_norm: 3.1766 loss: 4.3190 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5057 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.8134 2023/02/01 12:47:09 - mmengine - INFO - Epoch(train) [103][1340/1879] lr: 7.8167e-02 eta: 1 day, 16:37:25 time: 0.5193 data_time: 0.0325 memory: 18108 grad_norm: 3.1898 loss: 4.2087 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3779 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.8308 2023/02/01 12:47:10 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 12:47:19 - mmengine - INFO - Epoch(train) [103][1360/1879] lr: 7.8161e-02 eta: 1 day, 16:37:15 time: 0.5127 data_time: 0.0320 memory: 18108 grad_norm: 3.2328 loss: 4.2059 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4035 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.8025 2023/02/01 12:47:30 - mmengine - INFO - Epoch(train) [103][1380/1879] lr: 7.8155e-02 eta: 1 day, 16:37:06 time: 0.5342 data_time: 0.0385 memory: 18108 grad_norm: 3.2701 loss: 4.4737 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.7079 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7658 2023/02/01 12:47:40 - mmengine - INFO - Epoch(train) [103][1400/1879] lr: 7.8148e-02 eta: 1 day, 16:36:55 time: 0.4961 data_time: 0.0312 memory: 18108 grad_norm: 3.1712 loss: 4.3962 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6205 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.7757 2023/02/01 12:47:50 - mmengine - INFO - Epoch(train) [103][1420/1879] lr: 7.8142e-02 eta: 1 day, 16:36:45 time: 0.5102 data_time: 0.0330 memory: 18108 grad_norm: 3.2203 loss: 4.4776 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6064 top1_acc_1: 0.4588 top5_acc_1: 0.7765 loss_cls_1: 1.8713 2023/02/01 12:48:00 - mmengine - INFO - Epoch(train) [103][1440/1879] lr: 7.8136e-02 eta: 1 day, 16:36:35 time: 0.5089 data_time: 0.0321 memory: 18108 grad_norm: 3.1409 loss: 4.2825 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4026 top1_acc_1: 0.4706 top5_acc_1: 0.8000 loss_cls_1: 1.8799 2023/02/01 12:48:11 - mmengine - INFO - Epoch(train) [103][1460/1879] lr: 7.8130e-02 eta: 1 day, 16:36:26 time: 0.5381 data_time: 0.0402 memory: 18108 grad_norm: 3.1984 loss: 4.3896 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5850 top1_acc_1: 0.5294 top5_acc_1: 0.8471 loss_cls_1: 1.8046 2023/02/01 12:48:21 - mmengine - INFO - Epoch(train) [103][1480/1879] lr: 7.8123e-02 eta: 1 day, 16:36:16 time: 0.5137 data_time: 0.0322 memory: 18108 grad_norm: 3.2070 loss: 4.3845 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4922 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8923 2023/02/01 12:48:32 - mmengine - INFO - Epoch(train) [103][1500/1879] lr: 7.8117e-02 eta: 1 day, 16:36:06 time: 0.5176 data_time: 0.0325 memory: 18108 grad_norm: 3.2072 loss: 4.0976 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3224 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.7752 2023/02/01 12:48:42 - mmengine - INFO - Epoch(train) [103][1520/1879] lr: 7.8111e-02 eta: 1 day, 16:35:56 time: 0.5190 data_time: 0.0312 memory: 18108 grad_norm: 3.2307 loss: 4.5395 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.7143 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.8252 2023/02/01 12:48:52 - mmengine - INFO - Epoch(train) [103][1540/1879] lr: 7.8105e-02 eta: 1 day, 16:35:46 time: 0.5043 data_time: 0.0347 memory: 18108 grad_norm: 3.2029 loss: 4.4332 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5041 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.9291 2023/02/01 12:49:02 - mmengine - INFO - Epoch(train) [103][1560/1879] lr: 7.8098e-02 eta: 1 day, 16:35:36 time: 0.5054 data_time: 0.0325 memory: 18108 grad_norm: 3.1335 loss: 4.3685 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5506 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.8179 2023/02/01 12:49:17 - mmengine - INFO - Epoch(train) [103][1580/1879] lr: 7.8092e-02 eta: 1 day, 16:35:32 time: 0.7165 data_time: 0.0327 memory: 18108 grad_norm: 3.1680 loss: 4.4475 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.6518 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7957 2023/02/01 12:49:27 - mmengine - INFO - Epoch(train) [103][1600/1879] lr: 7.8086e-02 eta: 1 day, 16:35:22 time: 0.5246 data_time: 0.0400 memory: 18108 grad_norm: 3.1613 loss: 4.3155 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5396 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7759 2023/02/01 12:49:38 - mmengine - INFO - Epoch(train) [103][1620/1879] lr: 7.8080e-02 eta: 1 day, 16:35:12 time: 0.5192 data_time: 0.0357 memory: 18108 grad_norm: 3.1816 loss: 4.3828 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.5218 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.8610 2023/02/01 12:49:48 - mmengine - INFO - Epoch(train) [103][1640/1879] lr: 7.8074e-02 eta: 1 day, 16:35:02 time: 0.5052 data_time: 0.0317 memory: 18108 grad_norm: 3.1553 loss: 4.2990 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 2.4540 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.8450 2023/02/01 12:49:58 - mmengine - INFO - Epoch(train) [103][1660/1879] lr: 7.8067e-02 eta: 1 day, 16:34:52 time: 0.5137 data_time: 0.0329 memory: 18108 grad_norm: 3.1967 loss: 4.4683 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5924 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.8759 2023/02/01 12:50:09 - mmengine - INFO - Epoch(train) [103][1680/1879] lr: 7.8061e-02 eta: 1 day, 16:34:42 time: 0.5236 data_time: 0.0313 memory: 18108 grad_norm: 3.2223 loss: 4.4575 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6937 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.7638 2023/02/01 12:50:19 - mmengine - INFO - Epoch(train) [103][1700/1879] lr: 7.8055e-02 eta: 1 day, 16:34:32 time: 0.5102 data_time: 0.0346 memory: 18108 grad_norm: 3.1307 loss: 4.2221 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4212 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.8009 2023/02/01 12:50:29 - mmengine - INFO - Epoch(train) [103][1720/1879] lr: 7.8049e-02 eta: 1 day, 16:34:22 time: 0.5130 data_time: 0.0293 memory: 18108 grad_norm: 3.2018 loss: 4.6462 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7780 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8682 2023/02/01 12:50:40 - mmengine - INFO - Epoch(train) [103][1740/1879] lr: 7.8042e-02 eta: 1 day, 16:34:14 time: 0.5554 data_time: 0.0496 memory: 18108 grad_norm: 3.1248 loss: 4.4105 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.5394 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.8711 2023/02/01 12:50:50 - mmengine - INFO - Epoch(train) [103][1760/1879] lr: 7.8036e-02 eta: 1 day, 16:34:03 time: 0.5067 data_time: 0.0280 memory: 18108 grad_norm: 3.2062 loss: 4.3267 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4747 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8520 2023/02/01 12:51:01 - mmengine - INFO - Epoch(train) [103][1780/1879] lr: 7.8030e-02 eta: 1 day, 16:33:53 time: 0.5104 data_time: 0.0359 memory: 18108 grad_norm: 3.1582 loss: 4.2616 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4998 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7618 2023/02/01 12:51:11 - mmengine - INFO - Epoch(train) [103][1800/1879] lr: 7.8024e-02 eta: 1 day, 16:33:43 time: 0.5107 data_time: 0.0360 memory: 18108 grad_norm: 3.1799 loss: 4.3026 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6162 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.6864 2023/02/01 12:51:22 - mmengine - INFO - Epoch(train) [103][1820/1879] lr: 7.8017e-02 eta: 1 day, 16:33:34 time: 0.5380 data_time: 0.0388 memory: 18108 grad_norm: 3.2218 loss: 4.4835 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6348 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8487 2023/02/01 12:51:32 - mmengine - INFO - Epoch(train) [103][1840/1879] lr: 7.8011e-02 eta: 1 day, 16:33:24 time: 0.5080 data_time: 0.0293 memory: 18108 grad_norm: 3.1591 loss: 4.4496 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6529 top1_acc_1: 0.5176 top5_acc_1: 0.8353 loss_cls_1: 1.7966 2023/02/01 12:51:42 - mmengine - INFO - Epoch(train) [103][1860/1879] lr: 7.8005e-02 eta: 1 day, 16:33:14 time: 0.5228 data_time: 0.0431 memory: 18108 grad_norm: 3.0732 loss: 4.6684 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.7097 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.9588 2023/02/01 12:51:51 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 12:51:51 - mmengine - INFO - Epoch(train) [103][1879/1879] lr: 7.7999e-02 eta: 1 day, 16:33:04 time: 0.4898 data_time: 0.0260 memory: 18108 grad_norm: 3.1501 loss: 4.1573 top1_acc_0: 0.2857 top5_acc_0: 0.2857 loss_cls_0: 2.3147 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 1.8427 2023/02/01 12:52:07 - mmengine - INFO - Epoch(train) [104][ 20/1879] lr: 7.7993e-02 eta: 1 day, 16:33:00 time: 0.7176 data_time: 0.2400 memory: 18108 grad_norm: 3.1381 loss: 4.1963 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.4712 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7251 2023/02/01 12:52:16 - mmengine - INFO - Epoch(train) [104][ 40/1879] lr: 7.7987e-02 eta: 1 day, 16:32:49 time: 0.4716 data_time: 0.0320 memory: 18108 grad_norm: 3.1214 loss: 4.1406 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3136 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8270 2023/02/01 12:52:26 - mmengine - INFO - Epoch(train) [104][ 60/1879] lr: 7.7980e-02 eta: 1 day, 16:32:38 time: 0.4792 data_time: 0.0360 memory: 18108 grad_norm: 3.1485 loss: 4.1852 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4274 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.7578 2023/02/01 12:52:36 - mmengine - INFO - Epoch(train) [104][ 80/1879] lr: 7.7974e-02 eta: 1 day, 16:32:28 time: 0.5224 data_time: 0.0417 memory: 18108 grad_norm: 3.2448 loss: 4.1366 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3394 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.7972 2023/02/01 12:52:46 - mmengine - INFO - Epoch(train) [104][ 100/1879] lr: 7.7968e-02 eta: 1 day, 16:32:17 time: 0.4788 data_time: 0.0351 memory: 18108 grad_norm: 3.2224 loss: 4.2531 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.5535 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.6996 2023/02/01 12:52:55 - mmengine - INFO - Epoch(train) [104][ 120/1879] lr: 7.7962e-02 eta: 1 day, 16:32:06 time: 0.4733 data_time: 0.0336 memory: 18108 grad_norm: 3.2039 loss: 4.0723 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2921 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.7802 2023/02/01 12:53:05 - mmengine - INFO - Epoch(train) [104][ 140/1879] lr: 7.7955e-02 eta: 1 day, 16:31:56 time: 0.5057 data_time: 0.0369 memory: 18108 grad_norm: 3.1711 loss: 3.9168 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1108 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.8060 2023/02/01 12:53:15 - mmengine - INFO - Epoch(train) [104][ 160/1879] lr: 7.7949e-02 eta: 1 day, 16:31:45 time: 0.4826 data_time: 0.0328 memory: 18108 grad_norm: 3.1314 loss: 4.1113 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3346 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.7767 2023/02/01 12:53:24 - mmengine - INFO - Epoch(train) [104][ 180/1879] lr: 7.7943e-02 eta: 1 day, 16:31:34 time: 0.4781 data_time: 0.0362 memory: 18108 grad_norm: 3.2749 loss: 4.2924 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.5101 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.7823 2023/02/01 12:53:34 - mmengine - INFO - Epoch(train) [104][ 200/1879] lr: 7.7937e-02 eta: 1 day, 16:31:23 time: 0.4809 data_time: 0.0327 memory: 18108 grad_norm: 3.1266 loss: 4.0123 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2892 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.7231 2023/02/01 12:53:44 - mmengine - INFO - Epoch(train) [104][ 220/1879] lr: 7.7930e-02 eta: 1 day, 16:31:13 time: 0.5082 data_time: 0.0414 memory: 18108 grad_norm: 3.1944 loss: 4.0771 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3688 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7082 2023/02/01 12:53:54 - mmengine - INFO - Epoch(train) [104][ 240/1879] lr: 7.7924e-02 eta: 1 day, 16:31:02 time: 0.4730 data_time: 0.0345 memory: 18108 grad_norm: 3.2449 loss: 4.3761 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5749 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 1.8012 2023/02/01 12:54:03 - mmengine - INFO - Epoch(train) [104][ 260/1879] lr: 7.7918e-02 eta: 1 day, 16:30:51 time: 0.4871 data_time: 0.0340 memory: 18108 grad_norm: 3.1818 loss: 4.3429 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5612 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7817 2023/02/01 12:54:14 - mmengine - INFO - Epoch(train) [104][ 280/1879] lr: 7.7912e-02 eta: 1 day, 16:30:41 time: 0.5059 data_time: 0.0318 memory: 18108 grad_norm: 3.1577 loss: 4.2705 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4932 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7772 2023/02/01 12:54:24 - mmengine - INFO - Epoch(train) [104][ 300/1879] lr: 7.7905e-02 eta: 1 day, 16:30:31 time: 0.5186 data_time: 0.0423 memory: 18108 grad_norm: 3.1933 loss: 4.1529 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3477 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8052 2023/02/01 12:54:34 - mmengine - INFO - Epoch(train) [104][ 320/1879] lr: 7.7899e-02 eta: 1 day, 16:30:20 time: 0.4951 data_time: 0.0323 memory: 18108 grad_norm: 3.2817 loss: 4.3265 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5773 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.7493 2023/02/01 12:54:44 - mmengine - INFO - Epoch(train) [104][ 340/1879] lr: 7.7893e-02 eta: 1 day, 16:30:10 time: 0.5062 data_time: 0.0337 memory: 18108 grad_norm: 3.1736 loss: 4.3572 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5782 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7790 2023/02/01 12:54:54 - mmengine - INFO - Epoch(train) [104][ 360/1879] lr: 7.7887e-02 eta: 1 day, 16:30:00 time: 0.5140 data_time: 0.0324 memory: 18108 grad_norm: 3.1894 loss: 4.3278 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4428 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.8850 2023/02/01 12:55:04 - mmengine - INFO - Epoch(train) [104][ 380/1879] lr: 7.7880e-02 eta: 1 day, 16:29:50 time: 0.5043 data_time: 0.0369 memory: 18108 grad_norm: 3.1190 loss: 4.2165 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3752 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.8413 2023/02/01 12:55:14 - mmengine - INFO - Epoch(train) [104][ 400/1879] lr: 7.7874e-02 eta: 1 day, 16:29:39 time: 0.4904 data_time: 0.0320 memory: 18108 grad_norm: 3.1636 loss: 4.0930 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3490 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.7439 2023/02/01 12:55:24 - mmengine - INFO - Epoch(train) [104][ 420/1879] lr: 7.7868e-02 eta: 1 day, 16:29:29 time: 0.4951 data_time: 0.0337 memory: 18108 grad_norm: 3.2139 loss: 4.4031 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5739 top1_acc_1: 0.4824 top5_acc_1: 0.6941 loss_cls_1: 1.8292 2023/02/01 12:55:35 - mmengine - INFO - Epoch(train) [104][ 440/1879] lr: 7.7862e-02 eta: 1 day, 16:29:19 time: 0.5249 data_time: 0.0409 memory: 18108 grad_norm: 3.2474 loss: 4.3126 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4815 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.8311 2023/02/01 12:55:45 - mmengine - INFO - Epoch(train) [104][ 460/1879] lr: 7.7855e-02 eta: 1 day, 16:29:08 time: 0.4944 data_time: 0.0351 memory: 18108 grad_norm: 3.2011 loss: 4.1854 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.4228 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 1.7627 2023/02/01 12:55:46 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 12:55:55 - mmengine - INFO - Epoch(train) [104][ 480/1879] lr: 7.7849e-02 eta: 1 day, 16:28:58 time: 0.5018 data_time: 0.0365 memory: 18108 grad_norm: 3.1416 loss: 4.2257 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4467 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7789 2023/02/01 12:56:05 - mmengine - INFO - Epoch(train) [104][ 500/1879] lr: 7.7843e-02 eta: 1 day, 16:28:48 time: 0.5032 data_time: 0.0366 memory: 18108 grad_norm: 3.2127 loss: 4.1279 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2869 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8410 2023/02/01 12:56:15 - mmengine - INFO - Epoch(train) [104][ 520/1879] lr: 7.7837e-02 eta: 1 day, 16:28:37 time: 0.4945 data_time: 0.0383 memory: 18108 grad_norm: 3.2490 loss: 4.4894 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.5952 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8942 2023/02/01 12:56:25 - mmengine - INFO - Epoch(train) [104][ 540/1879] lr: 7.7830e-02 eta: 1 day, 16:28:27 time: 0.5039 data_time: 0.0284 memory: 18108 grad_norm: 3.1537 loss: 4.1618 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3865 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 1.7753 2023/02/01 12:56:35 - mmengine - INFO - Epoch(train) [104][ 560/1879] lr: 7.7824e-02 eta: 1 day, 16:28:17 time: 0.5007 data_time: 0.0364 memory: 18108 grad_norm: 3.1993 loss: 4.3919 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.5730 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.8189 2023/02/01 12:56:45 - mmengine - INFO - Epoch(train) [104][ 580/1879] lr: 7.7818e-02 eta: 1 day, 16:28:07 time: 0.5219 data_time: 0.0396 memory: 18108 grad_norm: 3.1750 loss: 4.1794 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5161 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6633 2023/02/01 12:56:55 - mmengine - INFO - Epoch(train) [104][ 600/1879] lr: 7.7812e-02 eta: 1 day, 16:27:56 time: 0.4987 data_time: 0.0370 memory: 18108 grad_norm: 3.2441 loss: 4.3523 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5063 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8460 2023/02/01 12:57:06 - mmengine - INFO - Epoch(train) [104][ 620/1879] lr: 7.7805e-02 eta: 1 day, 16:27:46 time: 0.5151 data_time: 0.0306 memory: 18108 grad_norm: 3.2234 loss: 4.2457 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4152 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.8305 2023/02/01 12:57:16 - mmengine - INFO - Epoch(train) [104][ 640/1879] lr: 7.7799e-02 eta: 1 day, 16:27:36 time: 0.5038 data_time: 0.0435 memory: 18108 grad_norm: 3.2139 loss: 4.3990 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5071 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8919 2023/02/01 12:57:26 - mmengine - INFO - Epoch(train) [104][ 660/1879] lr: 7.7793e-02 eta: 1 day, 16:27:26 time: 0.5153 data_time: 0.0285 memory: 18108 grad_norm: 3.2767 loss: 4.4007 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6198 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.7809 2023/02/01 12:57:36 - mmengine - INFO - Epoch(train) [104][ 680/1879] lr: 7.7787e-02 eta: 1 day, 16:27:16 time: 0.5163 data_time: 0.0362 memory: 18108 grad_norm: 3.1785 loss: 3.9546 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2474 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.7072 2023/02/01 12:57:47 - mmengine - INFO - Epoch(train) [104][ 700/1879] lr: 7.7780e-02 eta: 1 day, 16:27:06 time: 0.5142 data_time: 0.0307 memory: 18108 grad_norm: 3.2639 loss: 4.2424 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4056 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.8368 2023/02/01 12:57:57 - mmengine - INFO - Epoch(train) [104][ 720/1879] lr: 7.7774e-02 eta: 1 day, 16:26:57 time: 0.5206 data_time: 0.0377 memory: 18108 grad_norm: 3.2493 loss: 4.5171 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.7210 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7960 2023/02/01 12:58:07 - mmengine - INFO - Epoch(train) [104][ 740/1879] lr: 7.7768e-02 eta: 1 day, 16:26:47 time: 0.5103 data_time: 0.0301 memory: 18108 grad_norm: 3.2231 loss: 4.2733 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4862 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.7870 2023/02/01 12:58:18 - mmengine - INFO - Epoch(train) [104][ 760/1879] lr: 7.7761e-02 eta: 1 day, 16:26:37 time: 0.5182 data_time: 0.0382 memory: 18108 grad_norm: 3.2090 loss: 4.2983 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.4559 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.8424 2023/02/01 12:58:28 - mmengine - INFO - Epoch(train) [104][ 780/1879] lr: 7.7755e-02 eta: 1 day, 16:26:27 time: 0.5180 data_time: 0.0375 memory: 18108 grad_norm: 3.2022 loss: 4.3462 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5434 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.8028 2023/02/01 12:58:38 - mmengine - INFO - Epoch(train) [104][ 800/1879] lr: 7.7749e-02 eta: 1 day, 16:26:17 time: 0.5112 data_time: 0.0379 memory: 18108 grad_norm: 3.1945 loss: 4.1792 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3733 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.8059 2023/02/01 12:58:49 - mmengine - INFO - Epoch(train) [104][ 820/1879] lr: 7.7743e-02 eta: 1 day, 16:26:07 time: 0.5169 data_time: 0.0300 memory: 18108 grad_norm: 3.1988 loss: 4.4010 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6161 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7849 2023/02/01 12:58:59 - mmengine - INFO - Epoch(train) [104][ 840/1879] lr: 7.7736e-02 eta: 1 day, 16:25:57 time: 0.5224 data_time: 0.0438 memory: 18108 grad_norm: 3.1958 loss: 4.1287 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2687 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8600 2023/02/01 12:59:09 - mmengine - INFO - Epoch(train) [104][ 860/1879] lr: 7.7730e-02 eta: 1 day, 16:25:47 time: 0.5243 data_time: 0.0303 memory: 18108 grad_norm: 3.1722 loss: 4.3881 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6225 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.7656 2023/02/01 12:59:20 - mmengine - INFO - Epoch(train) [104][ 880/1879] lr: 7.7724e-02 eta: 1 day, 16:25:37 time: 0.5068 data_time: 0.0384 memory: 18108 grad_norm: 3.1101 loss: 4.4198 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6259 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.7940 2023/02/01 12:59:30 - mmengine - INFO - Epoch(train) [104][ 900/1879] lr: 7.7718e-02 eta: 1 day, 16:25:28 time: 0.5285 data_time: 0.0297 memory: 18108 grad_norm: 3.1798 loss: 4.3969 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6428 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.7542 2023/02/01 12:59:41 - mmengine - INFO - Epoch(train) [104][ 920/1879] lr: 7.7711e-02 eta: 1 day, 16:25:18 time: 0.5182 data_time: 0.0429 memory: 18108 grad_norm: 3.1703 loss: 4.2351 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.4148 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8203 2023/02/01 12:59:51 - mmengine - INFO - Epoch(train) [104][ 940/1879] lr: 7.7705e-02 eta: 1 day, 16:25:08 time: 0.5292 data_time: 0.0294 memory: 18108 grad_norm: 3.1147 loss: 4.3277 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5203 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.8073 2023/02/01 13:00:02 - mmengine - INFO - Epoch(train) [104][ 960/1879] lr: 7.7699e-02 eta: 1 day, 16:24:59 time: 0.5181 data_time: 0.0372 memory: 18108 grad_norm: 3.1459 loss: 4.2699 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5382 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.7317 2023/02/01 13:00:12 - mmengine - INFO - Epoch(train) [104][ 980/1879] lr: 7.7693e-02 eta: 1 day, 16:24:49 time: 0.5307 data_time: 0.0366 memory: 18108 grad_norm: 3.2490 loss: 4.6932 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.8804 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.8128 2023/02/01 13:00:22 - mmengine - INFO - Epoch(train) [104][1000/1879] lr: 7.7686e-02 eta: 1 day, 16:24:39 time: 0.5080 data_time: 0.0377 memory: 18108 grad_norm: 3.1653 loss: 4.4389 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6545 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.7844 2023/02/01 13:00:33 - mmengine - INFO - Epoch(train) [104][1020/1879] lr: 7.7680e-02 eta: 1 day, 16:24:29 time: 0.5250 data_time: 0.0316 memory: 18108 grad_norm: 3.1347 loss: 4.4632 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6482 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8150 2023/02/01 13:00:43 - mmengine - INFO - Epoch(train) [104][1040/1879] lr: 7.7674e-02 eta: 1 day, 16:24:20 time: 0.5254 data_time: 0.0364 memory: 18108 grad_norm: 3.2003 loss: 4.2656 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4477 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8179 2023/02/01 13:00:54 - mmengine - INFO - Epoch(train) [104][1060/1879] lr: 7.7667e-02 eta: 1 day, 16:24:10 time: 0.5159 data_time: 0.0301 memory: 18108 grad_norm: 3.2590 loss: 4.3578 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5767 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7811 2023/02/01 13:01:04 - mmengine - INFO - Epoch(train) [104][1080/1879] lr: 7.7661e-02 eta: 1 day, 16:24:00 time: 0.5276 data_time: 0.0385 memory: 18108 grad_norm: 3.2302 loss: 4.1557 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3544 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8012 2023/02/01 13:01:15 - mmengine - INFO - Epoch(train) [104][1100/1879] lr: 7.7655e-02 eta: 1 day, 16:23:50 time: 0.5187 data_time: 0.0303 memory: 18108 grad_norm: 3.1924 loss: 4.4684 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6853 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7831 2023/02/01 13:01:25 - mmengine - INFO - Epoch(train) [104][1120/1879] lr: 7.7649e-02 eta: 1 day, 16:23:41 time: 0.5240 data_time: 0.0432 memory: 18108 grad_norm: 3.1536 loss: 4.2117 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4044 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.8073 2023/02/01 13:01:35 - mmengine - INFO - Epoch(train) [104][1140/1879] lr: 7.7642e-02 eta: 1 day, 16:23:31 time: 0.5115 data_time: 0.0302 memory: 18108 grad_norm: 3.1274 loss: 4.2072 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3886 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8186 2023/02/01 13:01:46 - mmengine - INFO - Epoch(train) [104][1160/1879] lr: 7.7636e-02 eta: 1 day, 16:23:21 time: 0.5149 data_time: 0.0373 memory: 18108 grad_norm: 3.1751 loss: 4.2125 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3938 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.8188 2023/02/01 13:01:56 - mmengine - INFO - Epoch(train) [104][1180/1879] lr: 7.7630e-02 eta: 1 day, 16:23:11 time: 0.5337 data_time: 0.0367 memory: 18108 grad_norm: 3.1723 loss: 4.5071 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6656 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 1.8414 2023/02/01 13:02:07 - mmengine - INFO - Epoch(train) [104][1200/1879] lr: 7.7624e-02 eta: 1 day, 16:23:01 time: 0.5167 data_time: 0.0363 memory: 18108 grad_norm: 3.1859 loss: 4.0980 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4091 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.6889 2023/02/01 13:02:17 - mmengine - INFO - Epoch(train) [104][1220/1879] lr: 7.7617e-02 eta: 1 day, 16:22:51 time: 0.5166 data_time: 0.0307 memory: 18108 grad_norm: 3.2074 loss: 4.4342 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5729 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8613 2023/02/01 13:02:28 - mmengine - INFO - Epoch(train) [104][1240/1879] lr: 7.7611e-02 eta: 1 day, 16:22:42 time: 0.5292 data_time: 0.0457 memory: 18108 grad_norm: 3.1833 loss: 4.1555 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3383 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.8172 2023/02/01 13:02:38 - mmengine - INFO - Epoch(train) [104][1260/1879] lr: 7.7605e-02 eta: 1 day, 16:22:32 time: 0.5140 data_time: 0.0308 memory: 18108 grad_norm: 3.1628 loss: 4.4175 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6696 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7478 2023/02/01 13:02:48 - mmengine - INFO - Epoch(train) [104][1280/1879] lr: 7.7598e-02 eta: 1 day, 16:22:22 time: 0.5192 data_time: 0.0355 memory: 18108 grad_norm: 3.1826 loss: 4.0203 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2732 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.7471 2023/02/01 13:02:59 - mmengine - INFO - Epoch(train) [104][1300/1879] lr: 7.7592e-02 eta: 1 day, 16:22:12 time: 0.5119 data_time: 0.0302 memory: 18108 grad_norm: 3.2485 loss: 4.6362 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7726 top1_acc_1: 0.6118 top5_acc_1: 0.8941 loss_cls_1: 1.8636 2023/02/01 13:03:09 - mmengine - INFO - Epoch(train) [104][1320/1879] lr: 7.7586e-02 eta: 1 day, 16:22:02 time: 0.5224 data_time: 0.0436 memory: 18108 grad_norm: 3.1703 loss: 4.4167 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6310 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.7856 2023/02/01 13:03:20 - mmengine - INFO - Epoch(train) [104][1340/1879] lr: 7.7580e-02 eta: 1 day, 16:21:53 time: 0.5247 data_time: 0.0330 memory: 18108 grad_norm: 3.2108 loss: 4.3466 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5371 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.8095 2023/02/01 13:03:30 - mmengine - INFO - Epoch(train) [104][1360/1879] lr: 7.7573e-02 eta: 1 day, 16:21:43 time: 0.5172 data_time: 0.0339 memory: 18108 grad_norm: 3.2180 loss: 4.4995 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5942 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.9053 2023/02/01 13:03:41 - mmengine - INFO - Epoch(train) [104][1380/1879] lr: 7.7567e-02 eta: 1 day, 16:21:34 time: 0.5404 data_time: 0.0403 memory: 18108 grad_norm: 3.1556 loss: 4.2119 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.5110 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.7009 2023/02/01 13:03:51 - mmengine - INFO - Epoch(train) [104][1400/1879] lr: 7.7561e-02 eta: 1 day, 16:21:23 time: 0.5093 data_time: 0.0355 memory: 18108 grad_norm: 3.2206 loss: 4.3968 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6079 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7889 2023/02/01 13:04:01 - mmengine - INFO - Epoch(train) [104][1420/1879] lr: 7.7554e-02 eta: 1 day, 16:21:14 time: 0.5196 data_time: 0.0333 memory: 18108 grad_norm: 3.1532 loss: 4.4030 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6440 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.7590 2023/02/01 13:04:12 - mmengine - INFO - Epoch(train) [104][1440/1879] lr: 7.7548e-02 eta: 1 day, 16:21:04 time: 0.5299 data_time: 0.0418 memory: 18108 grad_norm: 3.1704 loss: 4.3001 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4327 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8674 2023/02/01 13:04:22 - mmengine - INFO - Epoch(train) [104][1460/1879] lr: 7.7542e-02 eta: 1 day, 16:20:54 time: 0.5210 data_time: 0.0330 memory: 18108 grad_norm: 3.1568 loss: 4.2568 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4631 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7937 2023/02/01 13:04:24 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 13:04:33 - mmengine - INFO - Epoch(train) [104][1480/1879] lr: 7.7536e-02 eta: 1 day, 16:20:44 time: 0.5149 data_time: 0.0377 memory: 18108 grad_norm: 3.2683 loss: 4.3558 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5109 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.8449 2023/02/01 13:04:43 - mmengine - INFO - Epoch(train) [104][1500/1879] lr: 7.7529e-02 eta: 1 day, 16:20:35 time: 0.5164 data_time: 0.0329 memory: 18108 grad_norm: 3.2063 loss: 4.2424 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.4572 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7851 2023/02/01 13:04:53 - mmengine - INFO - Epoch(train) [104][1520/1879] lr: 7.7523e-02 eta: 1 day, 16:20:25 time: 0.5186 data_time: 0.0433 memory: 18108 grad_norm: 3.2302 loss: 4.3255 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.5912 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7343 2023/02/01 13:05:05 - mmengine - INFO - Epoch(train) [104][1540/1879] lr: 7.7517e-02 eta: 1 day, 16:20:16 time: 0.5514 data_time: 0.0326 memory: 18108 grad_norm: 3.1919 loss: 4.2478 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4051 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.8427 2023/02/01 13:05:15 - mmengine - INFO - Epoch(train) [104][1560/1879] lr: 7.7510e-02 eta: 1 day, 16:20:06 time: 0.5070 data_time: 0.0353 memory: 18108 grad_norm: 3.1994 loss: 4.4827 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.7492 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.7335 2023/02/01 13:05:25 - mmengine - INFO - Epoch(train) [104][1580/1879] lr: 7.7504e-02 eta: 1 day, 16:19:56 time: 0.5144 data_time: 0.0347 memory: 18108 grad_norm: 3.1505 loss: 4.4316 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.5618 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.8698 2023/02/01 13:05:35 - mmengine - INFO - Epoch(train) [104][1600/1879] lr: 7.7498e-02 eta: 1 day, 16:19:46 time: 0.5147 data_time: 0.0343 memory: 18108 grad_norm: 3.1857 loss: 4.5989 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.8060 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7929 2023/02/01 13:05:45 - mmengine - INFO - Epoch(train) [104][1620/1879] lr: 7.7492e-02 eta: 1 day, 16:19:36 time: 0.5085 data_time: 0.0334 memory: 18108 grad_norm: 3.1571 loss: 4.4806 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6158 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.8648 2023/02/01 13:05:56 - mmengine - INFO - Epoch(train) [104][1640/1879] lr: 7.7485e-02 eta: 1 day, 16:19:26 time: 0.5247 data_time: 0.0434 memory: 18108 grad_norm: 3.2253 loss: 4.5694 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.6287 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.9407 2023/02/01 13:06:06 - mmengine - INFO - Epoch(train) [104][1660/1879] lr: 7.7479e-02 eta: 1 day, 16:19:16 time: 0.5248 data_time: 0.0325 memory: 18108 grad_norm: 3.1003 loss: 4.3666 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5956 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.7709 2023/02/01 13:06:17 - mmengine - INFO - Epoch(train) [104][1680/1879] lr: 7.7473e-02 eta: 1 day, 16:19:06 time: 0.5113 data_time: 0.0357 memory: 18108 grad_norm: 3.2285 loss: 4.4527 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7149 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.7378 2023/02/01 13:06:27 - mmengine - INFO - Epoch(train) [104][1700/1879] lr: 7.7466e-02 eta: 1 day, 16:18:56 time: 0.5053 data_time: 0.0326 memory: 18108 grad_norm: 3.2293 loss: 4.6126 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7459 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 1.8668 2023/02/01 13:06:38 - mmengine - INFO - Epoch(train) [104][1720/1879] lr: 7.7460e-02 eta: 1 day, 16:18:47 time: 0.5439 data_time: 0.0333 memory: 18108 grad_norm: 3.1412 loss: 4.5543 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6627 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.8917 2023/02/01 13:06:48 - mmengine - INFO - Epoch(train) [104][1740/1879] lr: 7.7454e-02 eta: 1 day, 16:18:37 time: 0.5151 data_time: 0.0321 memory: 18108 grad_norm: 3.1825 loss: 4.3158 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.4957 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8201 2023/02/01 13:06:58 - mmengine - INFO - Epoch(train) [104][1760/1879] lr: 7.7448e-02 eta: 1 day, 16:18:27 time: 0.5047 data_time: 0.0342 memory: 18108 grad_norm: 3.1511 loss: 4.3125 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5116 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8009 2023/02/01 13:07:09 - mmengine - INFO - Epoch(train) [104][1780/1879] lr: 7.7441e-02 eta: 1 day, 16:18:17 time: 0.5199 data_time: 0.0406 memory: 18108 grad_norm: 3.2227 loss: 4.2539 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3753 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.8785 2023/02/01 13:07:19 - mmengine - INFO - Epoch(train) [104][1800/1879] lr: 7.7435e-02 eta: 1 day, 16:18:07 time: 0.5217 data_time: 0.0347 memory: 18108 grad_norm: 3.2565 loss: 4.4651 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6032 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.8619 2023/02/01 13:07:29 - mmengine - INFO - Epoch(train) [104][1820/1879] lr: 7.7429e-02 eta: 1 day, 16:17:57 time: 0.5152 data_time: 0.0318 memory: 18108 grad_norm: 3.1484 loss: 4.3101 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5276 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.7825 2023/02/01 13:07:40 - mmengine - INFO - Epoch(train) [104][1840/1879] lr: 7.7422e-02 eta: 1 day, 16:17:47 time: 0.5114 data_time: 0.0345 memory: 18108 grad_norm: 3.2143 loss: 4.3140 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.5205 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.7935 2023/02/01 13:07:50 - mmengine - INFO - Epoch(train) [104][1860/1879] lr: 7.7416e-02 eta: 1 day, 16:17:38 time: 0.5290 data_time: 0.0330 memory: 18108 grad_norm: 3.1593 loss: 4.6560 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7450 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.9110 2023/02/01 13:07:59 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 13:07:59 - mmengine - INFO - Epoch(train) [104][1879/1879] lr: 7.7410e-02 eta: 1 day, 16:17:27 time: 0.4800 data_time: 0.0302 memory: 18108 grad_norm: 3.1768 loss: 4.3111 top1_acc_0: 0.2857 top5_acc_0: 0.4286 loss_cls_0: 2.4723 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8388 2023/02/01 13:08:00 - mmengine - INFO - Saving checkpoint at 104 epochs 2023/02/01 13:08:10 - mmengine - INFO - Epoch(val) [104][ 20/155] eta: 0:01:01 time: 0.4543 data_time: 0.3411 memory: 1906 2023/02/01 13:08:19 - mmengine - INFO - Epoch(val) [104][ 40/155] eta: 0:00:51 time: 0.4494 data_time: 0.3380 memory: 1906 2023/02/01 13:08:28 - mmengine - INFO - Epoch(val) [104][ 60/155] eta: 0:00:41 time: 0.4217 data_time: 0.3100 memory: 1906 2023/02/01 13:08:37 - mmengine - INFO - Epoch(val) [104][ 80/155] eta: 0:00:33 time: 0.4670 data_time: 0.3558 memory: 1906 2023/02/01 13:08:46 - mmengine - INFO - Epoch(val) [104][100/155] eta: 0:00:24 time: 0.4457 data_time: 0.3347 memory: 1906 2023/02/01 13:08:55 - mmengine - INFO - Epoch(val) [104][120/155] eta: 0:00:15 time: 0.4513 data_time: 0.3400 memory: 1906 2023/02/01 13:09:04 - mmengine - INFO - Epoch(val) [104][140/155] eta: 0:00:06 time: 0.4364 data_time: 0.3244 memory: 1906 2023/02/01 13:09:11 - mmengine - INFO - Epoch(val) [104][155/155] acc/top1: 0.4888 acc/top5: 0.7401 acc/mean1: 0.4884 2023/02/01 13:09:11 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_88.pth is removed 2023/02/01 13:09:13 - mmengine - INFO - The best checkpoint with 0.4888 acc/top1 at 104 epoch is saved to best_acc/top1_epoch_104.pth. 2023/02/01 13:09:27 - mmengine - INFO - Epoch(train) [105][ 20/1879] lr: 7.7404e-02 eta: 1 day, 16:17:22 time: 0.6849 data_time: 0.2331 memory: 18108 grad_norm: 3.1712 loss: 4.1015 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3464 top1_acc_1: 0.5176 top5_acc_1: 0.8353 loss_cls_1: 1.7551 2023/02/01 13:09:37 - mmengine - INFO - Epoch(train) [105][ 40/1879] lr: 7.7397e-02 eta: 1 day, 16:17:11 time: 0.4818 data_time: 0.0335 memory: 18108 grad_norm: 3.1149 loss: 4.2441 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5240 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.7201 2023/02/01 13:09:47 - mmengine - INFO - Epoch(train) [105][ 60/1879] lr: 7.7391e-02 eta: 1 day, 16:17:01 time: 0.5011 data_time: 0.0366 memory: 18108 grad_norm: 3.2284 loss: 4.3713 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6504 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.7209 2023/02/01 13:09:57 - mmengine - INFO - Epoch(train) [105][ 80/1879] lr: 7.7385e-02 eta: 1 day, 16:16:51 time: 0.5170 data_time: 0.0322 memory: 18108 grad_norm: 3.2009 loss: 4.1163 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.3474 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.7689 2023/02/01 13:10:07 - mmengine - INFO - Epoch(train) [105][ 100/1879] lr: 7.7379e-02 eta: 1 day, 16:16:40 time: 0.4970 data_time: 0.0378 memory: 18108 grad_norm: 3.1490 loss: 3.9666 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1696 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.7970 2023/02/01 13:10:17 - mmengine - INFO - Epoch(train) [105][ 120/1879] lr: 7.7372e-02 eta: 1 day, 16:16:30 time: 0.4915 data_time: 0.0308 memory: 18108 grad_norm: 3.2576 loss: 4.1518 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4198 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.7321 2023/02/01 13:10:28 - mmengine - INFO - Epoch(train) [105][ 140/1879] lr: 7.7366e-02 eta: 1 day, 16:16:21 time: 0.5452 data_time: 0.0341 memory: 18108 grad_norm: 3.1982 loss: 4.4747 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.7097 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.7650 2023/02/01 13:10:38 - mmengine - INFO - Epoch(train) [105][ 160/1879] lr: 7.7360e-02 eta: 1 day, 16:16:11 time: 0.5183 data_time: 0.0325 memory: 18108 grad_norm: 3.2078 loss: 4.2438 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4798 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7640 2023/02/01 13:10:48 - mmengine - INFO - Epoch(train) [105][ 180/1879] lr: 7.7353e-02 eta: 1 day, 16:16:01 time: 0.5063 data_time: 0.0343 memory: 18108 grad_norm: 3.2538 loss: 4.3615 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.5819 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 1.7796 2023/02/01 13:10:58 - mmengine - INFO - Epoch(train) [105][ 200/1879] lr: 7.7347e-02 eta: 1 day, 16:15:51 time: 0.5106 data_time: 0.0376 memory: 18108 grad_norm: 3.2021 loss: 4.4078 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5996 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.8082 2023/02/01 13:11:09 - mmengine - INFO - Epoch(train) [105][ 220/1879] lr: 7.7341e-02 eta: 1 day, 16:15:41 time: 0.5327 data_time: 0.0296 memory: 18108 grad_norm: 3.1487 loss: 4.3636 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.5991 top1_acc_1: 0.6706 top5_acc_1: 0.7882 loss_cls_1: 1.7645 2023/02/01 13:11:19 - mmengine - INFO - Epoch(train) [105][ 240/1879] lr: 7.7334e-02 eta: 1 day, 16:15:31 time: 0.5132 data_time: 0.0453 memory: 18108 grad_norm: 3.1686 loss: 4.1931 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.4352 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.7580 2023/02/01 13:11:30 - mmengine - INFO - Epoch(train) [105][ 260/1879] lr: 7.7328e-02 eta: 1 day, 16:15:21 time: 0.5238 data_time: 0.0295 memory: 18108 grad_norm: 3.2156 loss: 4.2792 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5569 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.7223 2023/02/01 13:11:41 - mmengine - INFO - Epoch(train) [105][ 280/1879] lr: 7.7322e-02 eta: 1 day, 16:15:12 time: 0.5338 data_time: 0.0380 memory: 18108 grad_norm: 3.2257 loss: 4.1227 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3842 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.7385 2023/02/01 13:11:51 - mmengine - INFO - Epoch(train) [105][ 300/1879] lr: 7.7315e-02 eta: 1 day, 16:15:03 time: 0.5325 data_time: 0.0366 memory: 18108 grad_norm: 3.1605 loss: 4.1385 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3331 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8055 2023/02/01 13:12:02 - mmengine - INFO - Epoch(train) [105][ 320/1879] lr: 7.7309e-02 eta: 1 day, 16:14:53 time: 0.5252 data_time: 0.0370 memory: 18108 grad_norm: 3.1932 loss: 3.9956 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2034 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.7923 2023/02/01 13:12:12 - mmengine - INFO - Epoch(train) [105][ 340/1879] lr: 7.7303e-02 eta: 1 day, 16:14:44 time: 0.5346 data_time: 0.0297 memory: 18108 grad_norm: 3.2190 loss: 4.2298 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4337 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7961 2023/02/01 13:12:23 - mmengine - INFO - Epoch(train) [105][ 360/1879] lr: 7.7297e-02 eta: 1 day, 16:14:34 time: 0.5405 data_time: 0.0380 memory: 18108 grad_norm: 3.1673 loss: 4.2103 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5179 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.6924 2023/02/01 13:12:34 - mmengine - INFO - Epoch(train) [105][ 380/1879] lr: 7.7290e-02 eta: 1 day, 16:14:25 time: 0.5408 data_time: 0.0375 memory: 18108 grad_norm: 3.1710 loss: 4.1753 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3984 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7769 2023/02/01 13:12:45 - mmengine - INFO - Epoch(train) [105][ 400/1879] lr: 7.7284e-02 eta: 1 day, 16:14:15 time: 0.5230 data_time: 0.0370 memory: 18108 grad_norm: 3.1818 loss: 4.2440 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4645 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7796 2023/02/01 13:12:55 - mmengine - INFO - Epoch(train) [105][ 420/1879] lr: 7.7278e-02 eta: 1 day, 16:14:06 time: 0.5379 data_time: 0.0295 memory: 18108 grad_norm: 3.2612 loss: 4.2792 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4935 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7857 2023/02/01 13:13:06 - mmengine - INFO - Epoch(train) [105][ 440/1879] lr: 7.7271e-02 eta: 1 day, 16:13:57 time: 0.5336 data_time: 0.0457 memory: 18108 grad_norm: 3.1478 loss: 4.3503 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5668 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.7834 2023/02/01 13:13:16 - mmengine - INFO - Epoch(train) [105][ 460/1879] lr: 7.7265e-02 eta: 1 day, 16:13:47 time: 0.5234 data_time: 0.0293 memory: 18108 grad_norm: 3.2033 loss: 4.1342 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3800 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7542 2023/02/01 13:13:27 - mmengine - INFO - Epoch(train) [105][ 480/1879] lr: 7.7259e-02 eta: 1 day, 16:13:38 time: 0.5455 data_time: 0.0367 memory: 18108 grad_norm: 3.2408 loss: 4.0562 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.3180 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.7382 2023/02/01 13:13:38 - mmengine - INFO - Epoch(train) [105][ 500/1879] lr: 7.7252e-02 eta: 1 day, 16:13:29 time: 0.5317 data_time: 0.0292 memory: 18108 grad_norm: 3.2410 loss: 4.4194 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6174 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.8020 2023/02/01 13:13:49 - mmengine - INFO - Epoch(train) [105][ 520/1879] lr: 7.7246e-02 eta: 1 day, 16:13:19 time: 0.5430 data_time: 0.0505 memory: 18108 grad_norm: 3.2166 loss: 4.4595 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6074 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8521 2023/02/01 13:14:00 - mmengine - INFO - Epoch(train) [105][ 540/1879] lr: 7.7240e-02 eta: 1 day, 16:13:10 time: 0.5300 data_time: 0.0309 memory: 18108 grad_norm: 3.2477 loss: 4.2798 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6164 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.6634 2023/02/01 13:14:10 - mmengine - INFO - Epoch(train) [105][ 560/1879] lr: 7.7233e-02 eta: 1 day, 16:13:00 time: 0.5331 data_time: 0.0369 memory: 18108 grad_norm: 3.3105 loss: 4.4259 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.6285 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.7975 2023/02/01 13:14:21 - mmengine - INFO - Epoch(train) [105][ 580/1879] lr: 7.7227e-02 eta: 1 day, 16:12:51 time: 0.5373 data_time: 0.0306 memory: 18108 grad_norm: 3.1186 loss: 4.2554 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.4868 top1_acc_1: 0.5294 top5_acc_1: 0.8471 loss_cls_1: 1.7686 2023/02/01 13:14:23 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 13:14:32 - mmengine - INFO - Epoch(train) [105][ 600/1879] lr: 7.7221e-02 eta: 1 day, 16:12:42 time: 0.5320 data_time: 0.0458 memory: 18108 grad_norm: 3.1701 loss: 4.4121 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5855 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.8266 2023/02/01 13:14:42 - mmengine - INFO - Epoch(train) [105][ 620/1879] lr: 7.7214e-02 eta: 1 day, 16:12:32 time: 0.5215 data_time: 0.0303 memory: 18108 grad_norm: 3.2011 loss: 4.1781 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3417 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.8364 2023/02/01 13:14:56 - mmengine - INFO - Epoch(train) [105][ 640/1879] lr: 7.7208e-02 eta: 1 day, 16:12:27 time: 0.6933 data_time: 0.0367 memory: 18108 grad_norm: 3.2682 loss: 4.1673 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4042 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.7631 2023/02/01 13:15:06 - mmengine - INFO - Epoch(train) [105][ 660/1879] lr: 7.7202e-02 eta: 1 day, 16:12:17 time: 0.5243 data_time: 0.0390 memory: 18108 grad_norm: 3.2172 loss: 4.1510 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.3869 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.7641 2023/02/01 13:15:17 - mmengine - INFO - Epoch(train) [105][ 680/1879] lr: 7.7196e-02 eta: 1 day, 16:12:08 time: 0.5399 data_time: 0.0366 memory: 18108 grad_norm: 3.1485 loss: 3.9926 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2452 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7473 2023/02/01 13:15:28 - mmengine - INFO - Epoch(train) [105][ 700/1879] lr: 7.7189e-02 eta: 1 day, 16:11:58 time: 0.5182 data_time: 0.0326 memory: 18108 grad_norm: 3.2404 loss: 4.2160 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4363 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.7796 2023/02/01 13:15:38 - mmengine - INFO - Epoch(train) [105][ 720/1879] lr: 7.7183e-02 eta: 1 day, 16:11:49 time: 0.5280 data_time: 0.0470 memory: 18108 grad_norm: 3.2356 loss: 4.6445 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.8035 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8410 2023/02/01 13:15:49 - mmengine - INFO - Epoch(train) [105][ 740/1879] lr: 7.7177e-02 eta: 1 day, 16:11:39 time: 0.5314 data_time: 0.0286 memory: 18108 grad_norm: 3.2166 loss: 4.5978 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.8114 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.7865 2023/02/01 13:15:59 - mmengine - INFO - Epoch(train) [105][ 760/1879] lr: 7.7170e-02 eta: 1 day, 16:11:29 time: 0.5039 data_time: 0.0323 memory: 18108 grad_norm: 3.2995 loss: 4.5319 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7822 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.7497 2023/02/01 13:16:10 - mmengine - INFO - Epoch(train) [105][ 780/1879] lr: 7.7164e-02 eta: 1 day, 16:11:19 time: 0.5270 data_time: 0.0544 memory: 18108 grad_norm: 3.2236 loss: 4.3218 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4450 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8768 2023/02/01 13:16:20 - mmengine - INFO - Epoch(train) [105][ 800/1879] lr: 7.7158e-02 eta: 1 day, 16:11:10 time: 0.5225 data_time: 0.0323 memory: 18108 grad_norm: 3.1456 loss: 4.1776 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3736 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.8040 2023/02/01 13:16:30 - mmengine - INFO - Epoch(train) [105][ 820/1879] lr: 7.7151e-02 eta: 1 day, 16:10:59 time: 0.5041 data_time: 0.0352 memory: 18108 grad_norm: 3.1482 loss: 4.4234 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6515 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.7719 2023/02/01 13:16:40 - mmengine - INFO - Epoch(train) [105][ 840/1879] lr: 7.7145e-02 eta: 1 day, 16:10:49 time: 0.5126 data_time: 0.0332 memory: 18108 grad_norm: 3.1810 loss: 4.3125 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4719 top1_acc_1: 0.4706 top5_acc_1: 0.7059 loss_cls_1: 1.8405 2023/02/01 13:16:51 - mmengine - INFO - Epoch(train) [105][ 860/1879] lr: 7.7139e-02 eta: 1 day, 16:10:40 time: 0.5369 data_time: 0.0458 memory: 18108 grad_norm: 3.1235 loss: 4.3083 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.4544 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.8539 2023/02/01 13:17:01 - mmengine - INFO - Epoch(train) [105][ 880/1879] lr: 7.7132e-02 eta: 1 day, 16:10:30 time: 0.5151 data_time: 0.0329 memory: 18108 grad_norm: 3.2189 loss: 4.3864 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4960 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.8904 2023/02/01 13:17:12 - mmengine - INFO - Epoch(train) [105][ 900/1879] lr: 7.7126e-02 eta: 1 day, 16:10:20 time: 0.5148 data_time: 0.0353 memory: 18108 grad_norm: 3.1863 loss: 4.1968 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.3558 top1_acc_1: 0.5647 top5_acc_1: 0.8706 loss_cls_1: 1.8410 2023/02/01 13:17:22 - mmengine - INFO - Epoch(train) [105][ 920/1879] lr: 7.7120e-02 eta: 1 day, 16:10:10 time: 0.5214 data_time: 0.0313 memory: 18108 grad_norm: 3.2439 loss: 4.3058 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5672 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.7387 2023/02/01 13:17:33 - mmengine - INFO - Epoch(train) [105][ 940/1879] lr: 7.7113e-02 eta: 1 day, 16:10:01 time: 0.5209 data_time: 0.0353 memory: 18108 grad_norm: 3.2473 loss: 4.4003 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6584 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.7419 2023/02/01 13:17:43 - mmengine - INFO - Epoch(train) [105][ 960/1879] lr: 7.7107e-02 eta: 1 day, 16:09:50 time: 0.5076 data_time: 0.0315 memory: 18108 grad_norm: 3.2377 loss: 4.3244 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.4730 top1_acc_1: 0.4353 top5_acc_1: 0.7765 loss_cls_1: 1.8514 2023/02/01 13:17:53 - mmengine - INFO - Epoch(train) [105][ 980/1879] lr: 7.7101e-02 eta: 1 day, 16:09:40 time: 0.5026 data_time: 0.0330 memory: 18108 grad_norm: 3.2757 loss: 4.1199 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.4014 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.7185 2023/02/01 13:18:03 - mmengine - INFO - Epoch(train) [105][1000/1879] lr: 7.7094e-02 eta: 1 day, 16:09:31 time: 0.5274 data_time: 0.0398 memory: 18108 grad_norm: 3.2427 loss: 4.2276 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4109 top1_acc_1: 0.5412 top5_acc_1: 0.8588 loss_cls_1: 1.8166 2023/02/01 13:18:14 - mmengine - INFO - Epoch(train) [105][1020/1879] lr: 7.7088e-02 eta: 1 day, 16:09:20 time: 0.5113 data_time: 0.0354 memory: 18108 grad_norm: 3.2678 loss: 4.3286 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5085 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8200 2023/02/01 13:18:24 - mmengine - INFO - Epoch(train) [105][1040/1879] lr: 7.7082e-02 eta: 1 day, 16:09:10 time: 0.5058 data_time: 0.0306 memory: 18108 grad_norm: 3.2387 loss: 4.4159 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5803 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.8357 2023/02/01 13:18:34 - mmengine - INFO - Epoch(train) [105][1060/1879] lr: 7.7075e-02 eta: 1 day, 16:09:01 time: 0.5337 data_time: 0.0340 memory: 18108 grad_norm: 3.1897 loss: 4.3447 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6212 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7234 2023/02/01 13:18:45 - mmengine - INFO - Epoch(train) [105][1080/1879] lr: 7.7069e-02 eta: 1 day, 16:08:51 time: 0.5286 data_time: 0.0311 memory: 18108 grad_norm: 3.1919 loss: 4.2241 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4666 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.7575 2023/02/01 13:18:55 - mmengine - INFO - Epoch(train) [105][1100/1879] lr: 7.7063e-02 eta: 1 day, 16:08:41 time: 0.5064 data_time: 0.0337 memory: 18108 grad_norm: 3.2084 loss: 4.2176 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5343 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.6833 2023/02/01 13:19:06 - mmengine - INFO - Epoch(train) [105][1120/1879] lr: 7.7056e-02 eta: 1 day, 16:08:32 time: 0.5294 data_time: 0.0362 memory: 18108 grad_norm: 3.2089 loss: 4.1905 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3968 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7936 2023/02/01 13:19:16 - mmengine - INFO - Epoch(train) [105][1140/1879] lr: 7.7050e-02 eta: 1 day, 16:08:22 time: 0.5226 data_time: 0.0358 memory: 18108 grad_norm: 3.1655 loss: 4.0460 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2409 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8051 2023/02/01 13:19:27 - mmengine - INFO - Epoch(train) [105][1160/1879] lr: 7.7044e-02 eta: 1 day, 16:08:12 time: 0.5179 data_time: 0.0312 memory: 18108 grad_norm: 3.2331 loss: 4.3277 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5765 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7511 2023/02/01 13:20:02 - mmengine - INFO - Epoch(train) [105][1180/1879] lr: 7.7037e-02 eta: 1 day, 16:08:39 time: 1.7867 data_time: 0.0351 memory: 18108 grad_norm: 3.2038 loss: 4.4426 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6393 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8033 2023/02/01 13:20:13 - mmengine - INFO - Epoch(train) [105][1200/1879] lr: 7.7031e-02 eta: 1 day, 16:08:29 time: 0.5331 data_time: 0.0396 memory: 18108 grad_norm: 3.1895 loss: 4.1631 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4225 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7405 2023/02/01 13:20:24 - mmengine - INFO - Epoch(train) [105][1220/1879] lr: 7.7025e-02 eta: 1 day, 16:08:20 time: 0.5271 data_time: 0.0341 memory: 18108 grad_norm: 3.1556 loss: 4.3015 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.4863 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8152 2023/02/01 13:20:34 - mmengine - INFO - Epoch(train) [105][1240/1879] lr: 7.7018e-02 eta: 1 day, 16:08:10 time: 0.5227 data_time: 0.0322 memory: 18108 grad_norm: 3.1737 loss: 4.3494 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5170 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.8324 2023/02/01 13:20:45 - mmengine - INFO - Epoch(train) [105][1260/1879] lr: 7.7012e-02 eta: 1 day, 16:08:00 time: 0.5228 data_time: 0.0402 memory: 18108 grad_norm: 3.2481 loss: 4.1371 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3596 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7775 2023/02/01 13:20:55 - mmengine - INFO - Epoch(train) [105][1280/1879] lr: 7.7006e-02 eta: 1 day, 16:07:51 time: 0.5268 data_time: 0.0338 memory: 18108 grad_norm: 3.2397 loss: 4.2913 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4893 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.8020 2023/02/01 13:21:05 - mmengine - INFO - Epoch(train) [105][1300/1879] lr: 7.6999e-02 eta: 1 day, 16:07:41 time: 0.5164 data_time: 0.0319 memory: 18108 grad_norm: 3.1985 loss: 4.0805 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2626 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.8179 2023/02/01 13:21:16 - mmengine - INFO - Epoch(train) [105][1320/1879] lr: 7.6993e-02 eta: 1 day, 16:07:31 time: 0.5339 data_time: 0.0317 memory: 18108 grad_norm: 3.1979 loss: 4.4090 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5461 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.8630 2023/02/01 13:21:27 - mmengine - INFO - Epoch(train) [105][1340/1879] lr: 7.6987e-02 eta: 1 day, 16:07:22 time: 0.5278 data_time: 0.0387 memory: 18108 grad_norm: 3.1886 loss: 4.5316 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 2.6396 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.8920 2023/02/01 13:21:38 - mmengine - INFO - Epoch(train) [105][1360/1879] lr: 7.6980e-02 eta: 1 day, 16:07:12 time: 0.5419 data_time: 0.0316 memory: 18108 grad_norm: 3.1177 loss: 4.1476 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3646 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.7830 2023/02/01 13:21:48 - mmengine - INFO - Epoch(train) [105][1380/1879] lr: 7.6974e-02 eta: 1 day, 16:07:03 time: 0.5256 data_time: 0.0334 memory: 18108 grad_norm: 3.1886 loss: 4.1568 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4212 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7356 2023/02/01 13:21:59 - mmengine - INFO - Epoch(train) [105][1400/1879] lr: 7.6968e-02 eta: 1 day, 16:06:53 time: 0.5281 data_time: 0.0330 memory: 18108 grad_norm: 3.2312 loss: 4.3881 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5499 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8382 2023/02/01 13:22:09 - mmengine - INFO - Epoch(train) [105][1420/1879] lr: 7.6961e-02 eta: 1 day, 16:06:44 time: 0.5287 data_time: 0.0338 memory: 18108 grad_norm: 3.1780 loss: 4.1234 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3686 top1_acc_1: 0.5765 top5_acc_1: 0.7294 loss_cls_1: 1.7549 2023/02/01 13:22:20 - mmengine - INFO - Epoch(train) [105][1440/1879] lr: 7.6955e-02 eta: 1 day, 16:06:34 time: 0.5347 data_time: 0.0333 memory: 18108 grad_norm: 3.1572 loss: 4.4781 top1_acc_0: 0.1875 top5_acc_0: 0.7500 loss_cls_0: 2.6626 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.8155 2023/02/01 13:22:30 - mmengine - INFO - Epoch(train) [105][1460/1879] lr: 7.6949e-02 eta: 1 day, 16:06:25 time: 0.5274 data_time: 0.0430 memory: 18108 grad_norm: 3.1198 loss: 4.4154 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5931 top1_acc_1: 0.5765 top5_acc_1: 0.7294 loss_cls_1: 1.8222 2023/02/01 13:22:41 - mmengine - INFO - Epoch(train) [105][1480/1879] lr: 7.6942e-02 eta: 1 day, 16:06:15 time: 0.5397 data_time: 0.0325 memory: 18108 grad_norm: 3.1408 loss: 4.3326 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5595 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7731 2023/02/01 13:22:52 - mmengine - INFO - Epoch(train) [105][1500/1879] lr: 7.6936e-02 eta: 1 day, 16:06:06 time: 0.5351 data_time: 0.0326 memory: 18108 grad_norm: 3.2406 loss: 4.2155 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3927 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8229 2023/02/01 13:23:03 - mmengine - INFO - Epoch(train) [105][1520/1879] lr: 7.6930e-02 eta: 1 day, 16:05:56 time: 0.5271 data_time: 0.0324 memory: 18108 grad_norm: 3.1935 loss: 4.3711 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 2.6286 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7425 2023/02/01 13:23:13 - mmengine - INFO - Epoch(train) [105][1540/1879] lr: 7.6923e-02 eta: 1 day, 16:05:47 time: 0.5247 data_time: 0.0334 memory: 18108 grad_norm: 3.1635 loss: 4.3335 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5162 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.8173 2023/02/01 13:23:24 - mmengine - INFO - Epoch(train) [105][1560/1879] lr: 7.6917e-02 eta: 1 day, 16:05:37 time: 0.5292 data_time: 0.0327 memory: 18108 grad_norm: 3.1906 loss: 4.6136 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6553 top1_acc_1: 0.4235 top5_acc_1: 0.7529 loss_cls_1: 1.9583 2023/02/01 13:23:34 - mmengine - INFO - Epoch(train) [105][1580/1879] lr: 7.6911e-02 eta: 1 day, 16:05:28 time: 0.5252 data_time: 0.0345 memory: 18108 grad_norm: 3.1694 loss: 4.1607 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.4168 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.7439 2023/02/01 13:23:36 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 13:23:45 - mmengine - INFO - Epoch(train) [105][1600/1879] lr: 7.6904e-02 eta: 1 day, 16:05:18 time: 0.5335 data_time: 0.0388 memory: 18108 grad_norm: 3.2001 loss: 4.4328 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6195 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.8132 2023/02/01 13:23:55 - mmengine - INFO - Epoch(train) [105][1620/1879] lr: 7.6898e-02 eta: 1 day, 16:05:08 time: 0.5155 data_time: 0.0339 memory: 18108 grad_norm: 3.1846 loss: 4.4794 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6158 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.8635 2023/02/01 13:24:06 - mmengine - INFO - Epoch(train) [105][1640/1879] lr: 7.6891e-02 eta: 1 day, 16:04:59 time: 0.5317 data_time: 0.0322 memory: 18108 grad_norm: 3.1684 loss: 4.3239 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5000 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.8238 2023/02/01 13:24:16 - mmengine - INFO - Epoch(train) [105][1660/1879] lr: 7.6885e-02 eta: 1 day, 16:04:49 time: 0.5139 data_time: 0.0335 memory: 18108 grad_norm: 3.1493 loss: 4.1283 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3240 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8043 2023/02/01 13:24:27 - mmengine - INFO - Epoch(train) [105][1680/1879] lr: 7.6879e-02 eta: 1 day, 16:04:39 time: 0.5289 data_time: 0.0412 memory: 18108 grad_norm: 3.2098 loss: 4.2732 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.4761 top1_acc_1: 0.6471 top5_acc_1: 0.7412 loss_cls_1: 1.7971 2023/02/01 13:24:38 - mmengine - INFO - Epoch(train) [105][1700/1879] lr: 7.6872e-02 eta: 1 day, 16:04:30 time: 0.5451 data_time: 0.0337 memory: 18108 grad_norm: 3.1874 loss: 4.1407 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3830 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7577 2023/02/01 13:24:48 - mmengine - INFO - Epoch(train) [105][1720/1879] lr: 7.6866e-02 eta: 1 day, 16:04:20 time: 0.5154 data_time: 0.0332 memory: 18108 grad_norm: 3.2460 loss: 4.5269 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6519 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8749 2023/02/01 13:24:59 - mmengine - INFO - Epoch(train) [105][1740/1879] lr: 7.6860e-02 eta: 1 day, 16:04:11 time: 0.5334 data_time: 0.0342 memory: 18108 grad_norm: 3.0913 loss: 4.1519 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3181 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8338 2023/02/01 13:25:09 - mmengine - INFO - Epoch(train) [105][1760/1879] lr: 7.6853e-02 eta: 1 day, 16:04:01 time: 0.5253 data_time: 0.0336 memory: 18108 grad_norm: 3.2555 loss: 4.3435 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5917 top1_acc_1: 0.4235 top5_acc_1: 0.7765 loss_cls_1: 1.7518 2023/02/01 13:25:20 - mmengine - INFO - Epoch(train) [105][1780/1879] lr: 7.6847e-02 eta: 1 day, 16:03:51 time: 0.5209 data_time: 0.0347 memory: 18108 grad_norm: 3.1484 loss: 4.1003 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3187 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.7816 2023/02/01 13:25:30 - mmengine - INFO - Epoch(train) [105][1800/1879] lr: 7.6841e-02 eta: 1 day, 16:03:42 time: 0.5394 data_time: 0.0309 memory: 18108 grad_norm: 3.2028 loss: 4.4917 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.6651 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8266 2023/02/01 13:25:41 - mmengine - INFO - Epoch(train) [105][1820/1879] lr: 7.6834e-02 eta: 1 day, 16:03:32 time: 0.5189 data_time: 0.0412 memory: 18108 grad_norm: 3.1995 loss: 4.5872 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.8119 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.7753 2023/02/01 13:25:51 - mmengine - INFO - Epoch(train) [105][1840/1879] lr: 7.6828e-02 eta: 1 day, 16:03:22 time: 0.5295 data_time: 0.0319 memory: 18108 grad_norm: 3.1925 loss: 4.4240 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6548 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7692 2023/02/01 13:26:01 - mmengine - INFO - Epoch(train) [105][1860/1879] lr: 7.6822e-02 eta: 1 day, 16:03:12 time: 0.4985 data_time: 0.0343 memory: 18108 grad_norm: 3.1793 loss: 4.3464 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5587 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.7877 2023/02/01 13:26:11 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 13:26:11 - mmengine - INFO - Epoch(train) [105][1879/1879] lr: 7.6816e-02 eta: 1 day, 16:03:02 time: 0.5104 data_time: 0.0355 memory: 18108 grad_norm: 3.2574 loss: 4.3207 top1_acc_0: 0.2857 top5_acc_0: 0.5714 loss_cls_0: 2.4593 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.8614 2023/02/01 13:26:26 - mmengine - INFO - Epoch(train) [106][ 20/1879] lr: 7.6809e-02 eta: 1 day, 16:02:58 time: 0.7158 data_time: 0.2481 memory: 18108 grad_norm: 3.2252 loss: 4.1582 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4691 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.6891 2023/02/01 13:26:35 - mmengine - INFO - Epoch(train) [106][ 40/1879] lr: 7.6803e-02 eta: 1 day, 16:02:47 time: 0.4622 data_time: 0.0337 memory: 18108 grad_norm: 3.1838 loss: 4.2550 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4947 top1_acc_1: 0.5647 top5_acc_1: 0.7176 loss_cls_1: 1.7603 2023/02/01 13:26:45 - mmengine - INFO - Epoch(train) [106][ 60/1879] lr: 7.6796e-02 eta: 1 day, 16:02:36 time: 0.4712 data_time: 0.0365 memory: 18108 grad_norm: 3.1919 loss: 4.0077 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.2103 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.7973 2023/02/01 13:26:55 - mmengine - INFO - Epoch(train) [106][ 80/1879] lr: 7.6790e-02 eta: 1 day, 16:02:25 time: 0.5064 data_time: 0.0336 memory: 18108 grad_norm: 3.1821 loss: 4.1457 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3738 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7719 2023/02/01 13:27:04 - mmengine - INFO - Epoch(train) [106][ 100/1879] lr: 7.6784e-02 eta: 1 day, 16:02:14 time: 0.4666 data_time: 0.0367 memory: 18108 grad_norm: 3.2392 loss: 4.2247 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.4843 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 1.7403 2023/02/01 13:27:14 - mmengine - INFO - Epoch(train) [106][ 120/1879] lr: 7.6777e-02 eta: 1 day, 16:02:02 time: 0.4605 data_time: 0.0361 memory: 18108 grad_norm: 3.2656 loss: 4.3649 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5537 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.8112 2023/02/01 13:27:23 - mmengine - INFO - Epoch(train) [106][ 140/1879] lr: 7.6771e-02 eta: 1 day, 16:01:52 time: 0.4818 data_time: 0.0354 memory: 18108 grad_norm: 3.1482 loss: 4.3107 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5528 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.7578 2023/02/01 13:27:33 - mmengine - INFO - Epoch(train) [106][ 160/1879] lr: 7.6765e-02 eta: 1 day, 16:01:41 time: 0.4897 data_time: 0.0349 memory: 18108 grad_norm: 3.2476 loss: 4.4712 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.7018 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7694 2023/02/01 13:27:42 - mmengine - INFO - Epoch(train) [106][ 180/1879] lr: 7.6758e-02 eta: 1 day, 16:01:30 time: 0.4721 data_time: 0.0363 memory: 18108 grad_norm: 3.2115 loss: 4.3446 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.6762 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6684 2023/02/01 13:27:52 - mmengine - INFO - Epoch(train) [106][ 200/1879] lr: 7.6752e-02 eta: 1 day, 16:01:18 time: 0.4735 data_time: 0.0341 memory: 18108 grad_norm: 3.2112 loss: 4.3972 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6043 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7929 2023/02/01 13:28:02 - mmengine - INFO - Epoch(train) [106][ 220/1879] lr: 7.6746e-02 eta: 1 day, 16:01:08 time: 0.5043 data_time: 0.0350 memory: 18108 grad_norm: 3.2030 loss: 4.5244 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.7170 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.8074 2023/02/01 13:28:12 - mmengine - INFO - Epoch(train) [106][ 240/1879] lr: 7.6739e-02 eta: 1 day, 16:00:57 time: 0.4790 data_time: 0.0345 memory: 18108 grad_norm: 3.1876 loss: 4.2009 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4389 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.7620 2023/02/01 13:28:21 - mmengine - INFO - Epoch(train) [106][ 260/1879] lr: 7.6733e-02 eta: 1 day, 16:00:46 time: 0.4882 data_time: 0.0462 memory: 18108 grad_norm: 3.1431 loss: 4.2401 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4700 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.7701 2023/02/01 13:28:31 - mmengine - INFO - Epoch(train) [106][ 280/1879] lr: 7.6726e-02 eta: 1 day, 16:00:35 time: 0.4760 data_time: 0.0333 memory: 18108 grad_norm: 3.2285 loss: 4.1008 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.4209 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.6799 2023/02/01 13:28:41 - mmengine - INFO - Epoch(train) [106][ 300/1879] lr: 7.6720e-02 eta: 1 day, 16:00:25 time: 0.4966 data_time: 0.0350 memory: 18108 grad_norm: 3.2432 loss: 4.5144 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7675 top1_acc_1: 0.5529 top5_acc_1: 0.8706 loss_cls_1: 1.7469 2023/02/01 13:28:50 - mmengine - INFO - Epoch(train) [106][ 320/1879] lr: 7.6714e-02 eta: 1 day, 16:00:14 time: 0.4761 data_time: 0.0332 memory: 18108 grad_norm: 3.1836 loss: 4.3013 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4635 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.8377 2023/02/01 13:29:00 - mmengine - INFO - Epoch(train) [106][ 340/1879] lr: 7.6707e-02 eta: 1 day, 16:00:03 time: 0.4838 data_time: 0.0430 memory: 18108 grad_norm: 3.2067 loss: 4.1299 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2840 top1_acc_1: 0.5294 top5_acc_1: 0.8588 loss_cls_1: 1.8459 2023/02/01 13:29:10 - mmengine - INFO - Epoch(train) [106][ 360/1879] lr: 7.6701e-02 eta: 1 day, 15:59:52 time: 0.4861 data_time: 0.0332 memory: 18108 grad_norm: 3.2559 loss: 4.1002 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3846 top1_acc_1: 0.4706 top5_acc_1: 0.7529 loss_cls_1: 1.7156 2023/02/01 13:29:20 - mmengine - INFO - Epoch(train) [106][ 380/1879] lr: 7.6695e-02 eta: 1 day, 15:59:41 time: 0.4900 data_time: 0.0375 memory: 18108 grad_norm: 3.2038 loss: 4.4163 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6738 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.7424 2023/02/01 13:29:29 - mmengine - INFO - Epoch(train) [106][ 400/1879] lr: 7.6688e-02 eta: 1 day, 15:59:30 time: 0.4750 data_time: 0.0403 memory: 18108 grad_norm: 3.1210 loss: 4.4947 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6685 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8262 2023/02/01 13:29:39 - mmengine - INFO - Epoch(train) [106][ 420/1879] lr: 7.6682e-02 eta: 1 day, 15:59:20 time: 0.4864 data_time: 0.0361 memory: 18108 grad_norm: 3.1858 loss: 4.2937 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5041 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.7897 2023/02/01 13:29:49 - mmengine - INFO - Epoch(train) [106][ 440/1879] lr: 7.6676e-02 eta: 1 day, 15:59:09 time: 0.4802 data_time: 0.0349 memory: 18108 grad_norm: 3.2057 loss: 4.3908 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.5900 top1_acc_1: 0.6824 top5_acc_1: 0.7882 loss_cls_1: 1.8008 2023/02/01 13:29:58 - mmengine - INFO - Epoch(train) [106][ 460/1879] lr: 7.6669e-02 eta: 1 day, 15:58:58 time: 0.4858 data_time: 0.0376 memory: 18108 grad_norm: 3.1652 loss: 4.3918 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5970 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.7948 2023/02/01 13:30:08 - mmengine - INFO - Epoch(train) [106][ 480/1879] lr: 7.6663e-02 eta: 1 day, 15:58:47 time: 0.4870 data_time: 0.0416 memory: 18108 grad_norm: 3.1558 loss: 4.0650 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3514 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.7136 2023/02/01 13:30:18 - mmengine - INFO - Epoch(train) [106][ 500/1879] lr: 7.6656e-02 eta: 1 day, 15:58:37 time: 0.4980 data_time: 0.0364 memory: 18108 grad_norm: 3.3019 loss: 4.2213 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5211 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7002 2023/02/01 13:30:28 - mmengine - INFO - Epoch(train) [106][ 520/1879] lr: 7.6650e-02 eta: 1 day, 15:58:25 time: 0.4750 data_time: 0.0357 memory: 18108 grad_norm: 3.2267 loss: 4.5326 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.7218 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.8107 2023/02/01 13:30:37 - mmengine - INFO - Epoch(train) [106][ 540/1879] lr: 7.6644e-02 eta: 1 day, 15:58:15 time: 0.4915 data_time: 0.0351 memory: 18108 grad_norm: 3.2290 loss: 4.2166 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4561 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.7606 2023/02/01 13:30:47 - mmengine - INFO - Epoch(train) [106][ 560/1879] lr: 7.6637e-02 eta: 1 day, 15:58:04 time: 0.4919 data_time: 0.0413 memory: 18108 grad_norm: 3.2605 loss: 4.3060 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.6386 top1_acc_1: 0.6353 top5_acc_1: 0.7647 loss_cls_1: 1.6674 2023/02/01 13:30:57 - mmengine - INFO - Epoch(train) [106][ 580/1879] lr: 7.6631e-02 eta: 1 day, 15:57:54 time: 0.4911 data_time: 0.0376 memory: 18108 grad_norm: 3.2167 loss: 4.2795 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5081 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7714 2023/02/01 13:31:07 - mmengine - INFO - Epoch(train) [106][ 600/1879] lr: 7.6625e-02 eta: 1 day, 15:57:42 time: 0.4770 data_time: 0.0356 memory: 18108 grad_norm: 3.2255 loss: 4.4551 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.6572 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.7979 2023/02/01 13:31:17 - mmengine - INFO - Epoch(train) [106][ 620/1879] lr: 7.6618e-02 eta: 1 day, 15:57:32 time: 0.4956 data_time: 0.0379 memory: 18108 grad_norm: 3.1911 loss: 4.0175 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3777 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.6398 2023/02/01 13:31:26 - mmengine - INFO - Epoch(train) [106][ 640/1879] lr: 7.6612e-02 eta: 1 day, 15:57:21 time: 0.4890 data_time: 0.0345 memory: 18108 grad_norm: 3.1910 loss: 4.4574 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7196 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7378 2023/02/01 13:31:36 - mmengine - INFO - Epoch(train) [106][ 660/1879] lr: 7.6605e-02 eta: 1 day, 15:57:10 time: 0.4843 data_time: 0.0354 memory: 18108 grad_norm: 3.2566 loss: 4.1249 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4191 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.7058 2023/02/01 13:31:46 - mmengine - INFO - Epoch(train) [106][ 680/1879] lr: 7.6599e-02 eta: 1 day, 15:56:59 time: 0.4817 data_time: 0.0339 memory: 18108 grad_norm: 3.3116 loss: 4.3710 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6218 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.7492 2023/02/01 13:31:56 - mmengine - INFO - Epoch(train) [106][ 700/1879] lr: 7.6593e-02 eta: 1 day, 15:56:49 time: 0.4984 data_time: 0.0334 memory: 18108 grad_norm: 3.2529 loss: 4.4030 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5549 top1_acc_1: 0.6235 top5_acc_1: 0.9059 loss_cls_1: 1.8481 2023/02/01 13:31:58 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 13:32:05 - mmengine - INFO - Epoch(train) [106][ 720/1879] lr: 7.6586e-02 eta: 1 day, 15:56:38 time: 0.4867 data_time: 0.0348 memory: 18108 grad_norm: 3.2737 loss: 4.3356 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.5011 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.8346 2023/02/01 13:32:15 - mmengine - INFO - Epoch(train) [106][ 740/1879] lr: 7.6580e-02 eta: 1 day, 15:56:28 time: 0.4976 data_time: 0.0434 memory: 18108 grad_norm: 3.1731 loss: 3.9100 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1913 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.7187 2023/02/01 13:32:25 - mmengine - INFO - Epoch(train) [106][ 760/1879] lr: 7.6574e-02 eta: 1 day, 15:56:17 time: 0.4985 data_time: 0.0347 memory: 18108 grad_norm: 3.2008 loss: 4.3922 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5285 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.8637 2023/02/01 13:32:35 - mmengine - INFO - Epoch(train) [106][ 780/1879] lr: 7.6567e-02 eta: 1 day, 15:56:07 time: 0.4838 data_time: 0.0350 memory: 18108 grad_norm: 3.1907 loss: 4.3549 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.6475 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.7074 2023/02/01 13:32:45 - mmengine - INFO - Epoch(train) [106][ 800/1879] lr: 7.6561e-02 eta: 1 day, 15:55:56 time: 0.4926 data_time: 0.0330 memory: 18108 grad_norm: 3.1970 loss: 4.3433 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.5604 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 1.7828 2023/02/01 13:32:55 - mmengine - INFO - Epoch(train) [106][ 820/1879] lr: 7.6554e-02 eta: 1 day, 15:55:46 time: 0.5030 data_time: 0.0415 memory: 18108 grad_norm: 3.2003 loss: 4.4519 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.5960 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8559 2023/02/01 13:33:05 - mmengine - INFO - Epoch(train) [106][ 840/1879] lr: 7.6548e-02 eta: 1 day, 15:55:35 time: 0.4835 data_time: 0.0339 memory: 18108 grad_norm: 3.2154 loss: 4.3157 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4406 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8751 2023/02/01 13:33:14 - mmengine - INFO - Epoch(train) [106][ 860/1879] lr: 7.6542e-02 eta: 1 day, 15:55:24 time: 0.4894 data_time: 0.0345 memory: 18108 grad_norm: 3.2306 loss: 4.2785 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.5297 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.7489 2023/02/01 13:33:24 - mmengine - INFO - Epoch(train) [106][ 880/1879] lr: 7.6535e-02 eta: 1 day, 15:55:14 time: 0.4957 data_time: 0.0332 memory: 18108 grad_norm: 3.1694 loss: 3.9873 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2493 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.7379 2023/02/01 13:33:34 - mmengine - INFO - Epoch(train) [106][ 900/1879] lr: 7.6529e-02 eta: 1 day, 15:55:03 time: 0.4972 data_time: 0.0410 memory: 18108 grad_norm: 3.1418 loss: 4.5142 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7438 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.7704 2023/02/01 13:33:44 - mmengine - INFO - Epoch(train) [106][ 920/1879] lr: 7.6523e-02 eta: 1 day, 15:54:52 time: 0.4845 data_time: 0.0335 memory: 18108 grad_norm: 3.2400 loss: 4.0758 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2809 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.7949 2023/02/01 13:33:54 - mmengine - INFO - Epoch(train) [106][ 940/1879] lr: 7.6516e-02 eta: 1 day, 15:54:42 time: 0.5010 data_time: 0.0351 memory: 18108 grad_norm: 3.2329 loss: 4.1642 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.4571 top1_acc_1: 0.6471 top5_acc_1: 0.7765 loss_cls_1: 1.7071 2023/02/01 13:34:04 - mmengine - INFO - Epoch(train) [106][ 960/1879] lr: 7.6510e-02 eta: 1 day, 15:54:31 time: 0.4943 data_time: 0.0325 memory: 18108 grad_norm: 3.2001 loss: 4.4261 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6041 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8220 2023/02/01 13:34:14 - mmengine - INFO - Epoch(train) [106][ 980/1879] lr: 7.6503e-02 eta: 1 day, 15:54:21 time: 0.4867 data_time: 0.0409 memory: 18108 grad_norm: 3.2225 loss: 4.2918 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 2.5216 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7702 2023/02/01 13:34:23 - mmengine - INFO - Epoch(train) [106][1000/1879] lr: 7.6497e-02 eta: 1 day, 15:54:10 time: 0.4843 data_time: 0.0358 memory: 18108 grad_norm: 3.2027 loss: 4.1460 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3628 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.7833 2023/02/01 13:34:33 - mmengine - INFO - Epoch(train) [106][1020/1879] lr: 7.6491e-02 eta: 1 day, 15:53:59 time: 0.4995 data_time: 0.0352 memory: 18108 grad_norm: 3.1960 loss: 4.4003 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5175 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.8828 2023/02/01 13:34:43 - mmengine - INFO - Epoch(train) [106][1040/1879] lr: 7.6484e-02 eta: 1 day, 15:53:49 time: 0.4892 data_time: 0.0328 memory: 18108 grad_norm: 3.1870 loss: 4.2483 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4612 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.7871 2023/02/01 13:34:53 - mmengine - INFO - Epoch(train) [106][1060/1879] lr: 7.6478e-02 eta: 1 day, 15:53:38 time: 0.4914 data_time: 0.0434 memory: 18108 grad_norm: 3.1676 loss: 4.4497 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6004 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.8493 2023/02/01 13:35:03 - mmengine - INFO - Epoch(train) [106][1080/1879] lr: 7.6471e-02 eta: 1 day, 15:53:28 time: 0.5022 data_time: 0.0320 memory: 18108 grad_norm: 3.1641 loss: 4.1673 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2972 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8701 2023/02/01 13:35:13 - mmengine - INFO - Epoch(train) [106][1100/1879] lr: 7.6465e-02 eta: 1 day, 15:53:17 time: 0.4966 data_time: 0.0375 memory: 18108 grad_norm: 3.1938 loss: 4.3460 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4909 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.8551 2023/02/01 13:35:23 - mmengine - INFO - Epoch(train) [106][1120/1879] lr: 7.6459e-02 eta: 1 day, 15:53:06 time: 0.4787 data_time: 0.0338 memory: 18108 grad_norm: 3.2091 loss: 4.0994 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.3132 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.7862 2023/02/01 13:35:33 - mmengine - INFO - Epoch(train) [106][1140/1879] lr: 7.6452e-02 eta: 1 day, 15:52:56 time: 0.4996 data_time: 0.0442 memory: 18108 grad_norm: 3.2346 loss: 4.2324 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4396 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7928 2023/02/01 13:35:43 - mmengine - INFO - Epoch(train) [106][1160/1879] lr: 7.6446e-02 eta: 1 day, 15:52:45 time: 0.4994 data_time: 0.0326 memory: 18108 grad_norm: 3.2176 loss: 4.1640 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3646 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.7995 2023/02/01 13:35:52 - mmengine - INFO - Epoch(train) [106][1180/1879] lr: 7.6439e-02 eta: 1 day, 15:52:35 time: 0.4897 data_time: 0.0368 memory: 18108 grad_norm: 3.2130 loss: 4.0895 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3541 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.7354 2023/02/01 13:36:02 - mmengine - INFO - Epoch(train) [106][1200/1879] lr: 7.6433e-02 eta: 1 day, 15:52:24 time: 0.4828 data_time: 0.0341 memory: 18108 grad_norm: 3.1548 loss: 4.3515 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5082 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.8433 2023/02/01 13:36:12 - mmengine - INFO - Epoch(train) [106][1220/1879] lr: 7.6427e-02 eta: 1 day, 15:52:13 time: 0.4999 data_time: 0.0358 memory: 18108 grad_norm: 3.2249 loss: 4.2802 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4592 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8210 2023/02/01 13:36:22 - mmengine - INFO - Epoch(train) [106][1240/1879] lr: 7.6420e-02 eta: 1 day, 15:52:03 time: 0.4868 data_time: 0.0338 memory: 18108 grad_norm: 3.1842 loss: 4.2214 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3817 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8397 2023/02/01 13:36:32 - mmengine - INFO - Epoch(train) [106][1260/1879] lr: 7.6414e-02 eta: 1 day, 15:51:52 time: 0.4842 data_time: 0.0362 memory: 18108 grad_norm: 3.1716 loss: 4.3704 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5912 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7792 2023/02/01 13:36:41 - mmengine - INFO - Epoch(train) [106][1280/1879] lr: 7.6407e-02 eta: 1 day, 15:51:41 time: 0.4878 data_time: 0.0329 memory: 18108 grad_norm: 3.1677 loss: 4.3049 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5392 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.7658 2023/02/01 13:36:52 - mmengine - INFO - Epoch(train) [106][1300/1879] lr: 7.6401e-02 eta: 1 day, 15:51:31 time: 0.5072 data_time: 0.0352 memory: 18108 grad_norm: 3.1696 loss: 4.1634 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4308 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7326 2023/02/01 13:37:01 - mmengine - INFO - Epoch(train) [106][1320/1879] lr: 7.6395e-02 eta: 1 day, 15:51:20 time: 0.4815 data_time: 0.0321 memory: 18108 grad_norm: 3.2200 loss: 4.1209 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3569 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.7640 2023/02/01 13:37:11 - mmengine - INFO - Epoch(train) [106][1340/1879] lr: 7.6388e-02 eta: 1 day, 15:51:09 time: 0.4818 data_time: 0.0358 memory: 18108 grad_norm: 3.2493 loss: 4.2594 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4359 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8235 2023/02/01 13:37:21 - mmengine - INFO - Epoch(train) [106][1360/1879] lr: 7.6382e-02 eta: 1 day, 15:50:59 time: 0.4992 data_time: 0.0329 memory: 18108 grad_norm: 3.1689 loss: 4.3830 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5233 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.8597 2023/02/01 13:37:31 - mmengine - INFO - Epoch(train) [106][1380/1879] lr: 7.6376e-02 eta: 1 day, 15:50:48 time: 0.5046 data_time: 0.0349 memory: 18108 grad_norm: 3.1784 loss: 4.1235 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3479 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.7756 2023/02/01 13:37:41 - mmengine - INFO - Epoch(train) [106][1400/1879] lr: 7.6369e-02 eta: 1 day, 15:50:37 time: 0.4798 data_time: 0.0345 memory: 18108 grad_norm: 3.2768 loss: 4.2456 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.5512 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.6944 2023/02/01 13:37:50 - mmengine - INFO - Epoch(train) [106][1420/1879] lr: 7.6363e-02 eta: 1 day, 15:50:27 time: 0.4975 data_time: 0.0355 memory: 18108 grad_norm: 3.2378 loss: 4.4005 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5106 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.8899 2023/02/01 13:38:00 - mmengine - INFO - Epoch(train) [106][1440/1879] lr: 7.6356e-02 eta: 1 day, 15:50:16 time: 0.4950 data_time: 0.0338 memory: 18108 grad_norm: 3.2680 loss: 4.3830 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6042 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7788 2023/02/01 13:38:10 - mmengine - INFO - Epoch(train) [106][1460/1879] lr: 7.6350e-02 eta: 1 day, 15:50:06 time: 0.5037 data_time: 0.0418 memory: 18108 grad_norm: 3.2167 loss: 4.2940 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5139 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7801 2023/02/01 13:38:20 - mmengine - INFO - Epoch(train) [106][1480/1879] lr: 7.6344e-02 eta: 1 day, 15:49:55 time: 0.4909 data_time: 0.0329 memory: 18108 grad_norm: 3.1462 loss: 4.3175 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4708 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.8466 2023/02/01 13:38:30 - mmengine - INFO - Epoch(train) [106][1500/1879] lr: 7.6337e-02 eta: 1 day, 15:49:45 time: 0.5025 data_time: 0.0359 memory: 18108 grad_norm: 3.1830 loss: 4.4852 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7011 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.7842 2023/02/01 13:38:40 - mmengine - INFO - Epoch(train) [106][1520/1879] lr: 7.6331e-02 eta: 1 day, 15:49:35 time: 0.5010 data_time: 0.0331 memory: 18108 grad_norm: 3.1851 loss: 4.2646 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4979 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.7667 2023/02/01 13:38:50 - mmengine - INFO - Epoch(train) [106][1540/1879] lr: 7.6324e-02 eta: 1 day, 15:49:24 time: 0.4949 data_time: 0.0351 memory: 18108 grad_norm: 3.2134 loss: 4.4849 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5530 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.9319 2023/02/01 13:39:00 - mmengine - INFO - Epoch(train) [106][1560/1879] lr: 7.6318e-02 eta: 1 day, 15:49:14 time: 0.5010 data_time: 0.0324 memory: 18108 grad_norm: 3.2179 loss: 4.4525 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5914 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8610 2023/02/01 13:39:10 - mmengine - INFO - Epoch(train) [106][1580/1879] lr: 7.6311e-02 eta: 1 day, 15:49:04 time: 0.5026 data_time: 0.0341 memory: 18108 grad_norm: 3.1973 loss: 4.4065 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6022 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8043 2023/02/01 13:39:20 - mmengine - INFO - Epoch(train) [106][1600/1879] lr: 7.6305e-02 eta: 1 day, 15:48:53 time: 0.4876 data_time: 0.0344 memory: 18108 grad_norm: 3.1902 loss: 4.4460 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6096 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8364 2023/02/01 13:39:30 - mmengine - INFO - Epoch(train) [106][1620/1879] lr: 7.6299e-02 eta: 1 day, 15:48:42 time: 0.4889 data_time: 0.0348 memory: 18108 grad_norm: 3.2121 loss: 4.3777 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5468 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.8309 2023/02/01 13:39:40 - mmengine - INFO - Epoch(train) [106][1640/1879] lr: 7.6292e-02 eta: 1 day, 15:48:32 time: 0.5108 data_time: 0.0335 memory: 18108 grad_norm: 3.2064 loss: 4.5165 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6696 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8468 2023/02/01 13:39:50 - mmengine - INFO - Epoch(train) [106][1660/1879] lr: 7.6286e-02 eta: 1 day, 15:48:22 time: 0.5006 data_time: 0.0356 memory: 18108 grad_norm: 3.2703 loss: 4.5278 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5923 top1_acc_1: 0.6118 top5_acc_1: 0.9176 loss_cls_1: 1.9355 2023/02/01 13:40:00 - mmengine - INFO - Epoch(train) [106][1680/1879] lr: 7.6279e-02 eta: 1 day, 15:48:11 time: 0.4909 data_time: 0.0345 memory: 18108 grad_norm: 3.2323 loss: 4.3539 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5412 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.8126 2023/02/01 13:40:10 - mmengine - INFO - Epoch(train) [106][1700/1879] lr: 7.6273e-02 eta: 1 day, 15:48:01 time: 0.5140 data_time: 0.0438 memory: 18108 grad_norm: 3.1582 loss: 4.2665 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5133 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.7531 2023/02/01 13:40:13 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 13:40:20 - mmengine - INFO - Epoch(train) [106][1720/1879] lr: 7.6267e-02 eta: 1 day, 15:47:50 time: 0.4955 data_time: 0.0347 memory: 18108 grad_norm: 3.2387 loss: 4.3138 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.4868 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 1.8270 2023/02/01 13:40:30 - mmengine - INFO - Epoch(train) [106][1740/1879] lr: 7.6260e-02 eta: 1 day, 15:47:40 time: 0.4952 data_time: 0.0363 memory: 18108 grad_norm: 3.1805 loss: 4.1892 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4315 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.7577 2023/02/01 13:40:40 - mmengine - INFO - Epoch(train) [106][1760/1879] lr: 7.6254e-02 eta: 1 day, 15:47:30 time: 0.5044 data_time: 0.0331 memory: 18108 grad_norm: 3.2239 loss: 4.2047 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4130 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.7918 2023/02/01 13:40:50 - mmengine - INFO - Epoch(train) [106][1780/1879] lr: 7.6247e-02 eta: 1 day, 15:47:19 time: 0.5035 data_time: 0.0347 memory: 18108 grad_norm: 3.2733 loss: 4.3196 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5585 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.7611 2023/02/01 13:41:00 - mmengine - INFO - Epoch(train) [106][1800/1879] lr: 7.6241e-02 eta: 1 day, 15:47:09 time: 0.4937 data_time: 0.0327 memory: 18108 grad_norm: 3.1891 loss: 4.2382 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4562 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.7820 2023/02/01 13:41:10 - mmengine - INFO - Epoch(train) [106][1820/1879] lr: 7.6235e-02 eta: 1 day, 15:46:59 time: 0.5029 data_time: 0.0397 memory: 18108 grad_norm: 3.2185 loss: 4.5056 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7141 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.7915 2023/02/01 13:41:21 - mmengine - INFO - Epoch(train) [106][1840/1879] lr: 7.6228e-02 eta: 1 day, 15:46:49 time: 0.5358 data_time: 0.0298 memory: 18108 grad_norm: 3.1995 loss: 4.3030 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5804 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.7226 2023/02/01 13:41:31 - mmengine - INFO - Epoch(train) [106][1860/1879] lr: 7.6222e-02 eta: 1 day, 15:46:39 time: 0.5115 data_time: 0.0385 memory: 18108 grad_norm: 3.1515 loss: 4.2521 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.4180 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8341 2023/02/01 13:41:40 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 13:41:40 - mmengine - INFO - Epoch(train) [106][1879/1879] lr: 7.6216e-02 eta: 1 day, 15:46:29 time: 0.4787 data_time: 0.0255 memory: 18108 grad_norm: 3.2193 loss: 4.1386 top1_acc_0: 0.8571 top5_acc_0: 0.8571 loss_cls_0: 2.3832 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7554 2023/02/01 13:41:55 - mmengine - INFO - Epoch(train) [107][ 20/1879] lr: 7.6209e-02 eta: 1 day, 15:46:24 time: 0.7015 data_time: 0.2557 memory: 18108 grad_norm: 3.2753 loss: 4.0549 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3420 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.7129 2023/02/01 13:42:04 - mmengine - INFO - Epoch(train) [107][ 40/1879] lr: 7.6203e-02 eta: 1 day, 15:46:13 time: 0.4686 data_time: 0.0335 memory: 18108 grad_norm: 3.2379 loss: 3.9673 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2543 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7130 2023/02/01 13:42:14 - mmengine - INFO - Epoch(train) [107][ 60/1879] lr: 7.6196e-02 eta: 1 day, 15:46:02 time: 0.4758 data_time: 0.0392 memory: 18108 grad_norm: 3.2620 loss: 4.2438 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4479 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.7959 2023/02/01 13:42:24 - mmengine - INFO - Epoch(train) [107][ 80/1879] lr: 7.6190e-02 eta: 1 day, 15:45:52 time: 0.5171 data_time: 0.0407 memory: 18108 grad_norm: 3.2560 loss: 4.2861 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5710 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7152 2023/02/01 13:42:34 - mmengine - INFO - Epoch(train) [107][ 100/1879] lr: 7.6184e-02 eta: 1 day, 15:45:41 time: 0.4793 data_time: 0.0359 memory: 18108 grad_norm: 3.2606 loss: 4.3065 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5796 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.7269 2023/02/01 13:42:43 - mmengine - INFO - Epoch(train) [107][ 120/1879] lr: 7.6177e-02 eta: 1 day, 15:45:29 time: 0.4674 data_time: 0.0327 memory: 18108 grad_norm: 3.1870 loss: 4.3756 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5430 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.8327 2023/02/01 13:42:53 - mmengine - INFO - Epoch(train) [107][ 140/1879] lr: 7.6171e-02 eta: 1 day, 15:45:19 time: 0.4943 data_time: 0.0418 memory: 18108 grad_norm: 3.1761 loss: 4.2019 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4523 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.7496 2023/02/01 13:43:03 - mmengine - INFO - Epoch(train) [107][ 160/1879] lr: 7.6164e-02 eta: 1 day, 15:45:09 time: 0.4981 data_time: 0.0339 memory: 18108 grad_norm: 3.2912 loss: 4.1949 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.4492 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7457 2023/02/01 13:43:13 - mmengine - INFO - Epoch(train) [107][ 180/1879] lr: 7.6158e-02 eta: 1 day, 15:44:57 time: 0.4770 data_time: 0.0355 memory: 18108 grad_norm: 3.2309 loss: 4.1729 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4638 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7091 2023/02/01 13:43:22 - mmengine - INFO - Epoch(train) [107][ 200/1879] lr: 7.6152e-02 eta: 1 day, 15:44:47 time: 0.4803 data_time: 0.0320 memory: 18108 grad_norm: 3.3031 loss: 4.3026 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4947 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.8080 2023/02/01 13:43:32 - mmengine - INFO - Epoch(train) [107][ 220/1879] lr: 7.6145e-02 eta: 1 day, 15:44:36 time: 0.5013 data_time: 0.0394 memory: 18108 grad_norm: 3.2068 loss: 4.2256 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4820 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.7436 2023/02/01 13:43:42 - mmengine - INFO - Epoch(train) [107][ 240/1879] lr: 7.6139e-02 eta: 1 day, 15:44:25 time: 0.4791 data_time: 0.0345 memory: 18108 grad_norm: 3.2078 loss: 4.3338 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5324 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.8014 2023/02/01 13:43:52 - mmengine - INFO - Epoch(train) [107][ 260/1879] lr: 7.6132e-02 eta: 1 day, 15:44:14 time: 0.4829 data_time: 0.0352 memory: 18108 grad_norm: 3.1645 loss: 4.3370 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5433 top1_acc_1: 0.4353 top5_acc_1: 0.7176 loss_cls_1: 1.7937 2023/02/01 13:44:01 - mmengine - INFO - Epoch(train) [107][ 280/1879] lr: 7.6126e-02 eta: 1 day, 15:44:04 time: 0.4845 data_time: 0.0337 memory: 18108 grad_norm: 3.1931 loss: 4.2076 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 2.4223 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.7852 2023/02/01 13:44:11 - mmengine - INFO - Epoch(train) [107][ 300/1879] lr: 7.6119e-02 eta: 1 day, 15:43:53 time: 0.5001 data_time: 0.0422 memory: 18108 grad_norm: 3.1541 loss: 4.3013 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5469 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.7544 2023/02/01 13:44:21 - mmengine - INFO - Epoch(train) [107][ 320/1879] lr: 7.6113e-02 eta: 1 day, 15:43:42 time: 0.4768 data_time: 0.0349 memory: 18108 grad_norm: 3.2097 loss: 4.5230 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.6909 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.8321 2023/02/01 13:44:31 - mmengine - INFO - Epoch(train) [107][ 340/1879] lr: 7.6107e-02 eta: 1 day, 15:43:31 time: 0.4865 data_time: 0.0342 memory: 18108 grad_norm: 3.2018 loss: 4.2294 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.4348 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.7946 2023/02/01 13:44:41 - mmengine - INFO - Epoch(train) [107][ 360/1879] lr: 7.6100e-02 eta: 1 day, 15:43:21 time: 0.4915 data_time: 0.0329 memory: 18108 grad_norm: 3.1617 loss: 4.3027 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.4508 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.8519 2023/02/01 13:44:50 - mmengine - INFO - Epoch(train) [107][ 380/1879] lr: 7.6094e-02 eta: 1 day, 15:43:10 time: 0.4951 data_time: 0.0343 memory: 18108 grad_norm: 3.2136 loss: 4.2700 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5255 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.7446 2023/02/01 13:45:00 - mmengine - INFO - Epoch(train) [107][ 400/1879] lr: 7.6087e-02 eta: 1 day, 15:43:00 time: 0.4908 data_time: 0.0332 memory: 18108 grad_norm: 3.2246 loss: 4.2387 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.4362 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 1.8025 2023/02/01 13:45:10 - mmengine - INFO - Epoch(train) [107][ 420/1879] lr: 7.6081e-02 eta: 1 day, 15:42:49 time: 0.4943 data_time: 0.0352 memory: 18108 grad_norm: 3.2505 loss: 4.2447 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4547 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.7900 2023/02/01 13:45:20 - mmengine - INFO - Epoch(train) [107][ 440/1879] lr: 7.6074e-02 eta: 1 day, 15:42:38 time: 0.4963 data_time: 0.0379 memory: 18108 grad_norm: 3.2329 loss: 4.1590 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3821 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.7769 2023/02/01 13:45:30 - mmengine - INFO - Epoch(train) [107][ 460/1879] lr: 7.6068e-02 eta: 1 day, 15:42:28 time: 0.4933 data_time: 0.0339 memory: 18108 grad_norm: 3.1570 loss: 4.0520 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.2143 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8377 2023/02/01 13:45:40 - mmengine - INFO - Epoch(train) [107][ 480/1879] lr: 7.6062e-02 eta: 1 day, 15:42:17 time: 0.4961 data_time: 0.0369 memory: 18108 grad_norm: 3.1962 loss: 4.0027 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2886 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.7141 2023/02/01 13:45:50 - mmengine - INFO - Epoch(train) [107][ 500/1879] lr: 7.6055e-02 eta: 1 day, 15:42:07 time: 0.4894 data_time: 0.0329 memory: 18108 grad_norm: 3.2298 loss: 4.1354 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.3706 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7648 2023/02/01 13:46:00 - mmengine - INFO - Epoch(train) [107][ 520/1879] lr: 7.6049e-02 eta: 1 day, 15:41:57 time: 0.5131 data_time: 0.0327 memory: 18108 grad_norm: 3.2419 loss: 4.1470 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4155 top1_acc_1: 0.5294 top5_acc_1: 0.8588 loss_cls_1: 1.7315 2023/02/01 13:46:10 - mmengine - INFO - Epoch(train) [107][ 540/1879] lr: 7.6042e-02 eta: 1 day, 15:41:46 time: 0.4851 data_time: 0.0362 memory: 18108 grad_norm: 3.2363 loss: 4.4541 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5474 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.9068 2023/02/01 13:46:20 - mmengine - INFO - Epoch(train) [107][ 560/1879] lr: 7.6036e-02 eta: 1 day, 15:41:35 time: 0.4943 data_time: 0.0295 memory: 18108 grad_norm: 3.2148 loss: 4.3469 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.5330 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.8139 2023/02/01 13:46:30 - mmengine - INFO - Epoch(train) [107][ 580/1879] lr: 7.6029e-02 eta: 1 day, 15:41:25 time: 0.4996 data_time: 0.0362 memory: 18108 grad_norm: 3.2568 loss: 4.3454 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5160 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.8295 2023/02/01 13:46:40 - mmengine - INFO - Epoch(train) [107][ 600/1879] lr: 7.6023e-02 eta: 1 day, 15:41:15 time: 0.5016 data_time: 0.0366 memory: 18108 grad_norm: 3.1866 loss: 4.3399 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6010 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7388 2023/02/01 13:46:50 - mmengine - INFO - Epoch(train) [107][ 620/1879] lr: 7.6017e-02 eta: 1 day, 15:41:04 time: 0.4984 data_time: 0.0323 memory: 18108 grad_norm: 3.2222 loss: 4.3771 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5385 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.8386 2023/02/01 13:47:00 - mmengine - INFO - Epoch(train) [107][ 640/1879] lr: 7.6010e-02 eta: 1 day, 15:40:54 time: 0.5007 data_time: 0.0441 memory: 18108 grad_norm: 3.1616 loss: 4.3352 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5810 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7542 2023/02/01 13:47:10 - mmengine - INFO - Epoch(train) [107][ 660/1879] lr: 7.6004e-02 eta: 1 day, 15:40:44 time: 0.5048 data_time: 0.0307 memory: 18108 grad_norm: 3.1704 loss: 4.2093 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.4654 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.7439 2023/02/01 13:47:20 - mmengine - INFO - Epoch(train) [107][ 680/1879] lr: 7.5997e-02 eta: 1 day, 15:40:33 time: 0.5058 data_time: 0.0371 memory: 18108 grad_norm: 3.2016 loss: 4.4186 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5704 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8482 2023/02/01 13:47:30 - mmengine - INFO - Epoch(train) [107][ 700/1879] lr: 7.5991e-02 eta: 1 day, 15:40:23 time: 0.4916 data_time: 0.0331 memory: 18108 grad_norm: 3.1837 loss: 4.2656 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.5303 top1_acc_1: 0.6471 top5_acc_1: 0.7765 loss_cls_1: 1.7353 2023/02/01 13:47:40 - mmengine - INFO - Epoch(train) [107][ 720/1879] lr: 7.5984e-02 eta: 1 day, 15:40:12 time: 0.4963 data_time: 0.0413 memory: 18108 grad_norm: 3.2307 loss: 4.3104 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.5104 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.8001 2023/02/01 13:47:50 - mmengine - INFO - Epoch(train) [107][ 740/1879] lr: 7.5978e-02 eta: 1 day, 15:40:02 time: 0.5057 data_time: 0.0334 memory: 18108 grad_norm: 3.1831 loss: 4.1499 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2985 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8515 2023/02/01 13:48:00 - mmengine - INFO - Epoch(train) [107][ 760/1879] lr: 7.5972e-02 eta: 1 day, 15:39:51 time: 0.4920 data_time: 0.0356 memory: 18108 grad_norm: 3.2313 loss: 4.3141 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4779 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.8363 2023/02/01 13:48:10 - mmengine - INFO - Epoch(train) [107][ 780/1879] lr: 7.5965e-02 eta: 1 day, 15:39:41 time: 0.4965 data_time: 0.0403 memory: 18108 grad_norm: 3.2261 loss: 4.3273 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5354 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7919 2023/02/01 13:48:20 - mmengine - INFO - Epoch(train) [107][ 800/1879] lr: 7.5959e-02 eta: 1 day, 15:39:30 time: 0.4980 data_time: 0.0360 memory: 18108 grad_norm: 3.2450 loss: 4.3742 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5865 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.7877 2023/02/01 13:48:29 - mmengine - INFO - Epoch(train) [107][ 820/1879] lr: 7.5952e-02 eta: 1 day, 15:39:20 time: 0.4925 data_time: 0.0326 memory: 18108 grad_norm: 3.2207 loss: 4.5012 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7000 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.8012 2023/02/01 13:48:32 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 13:48:39 - mmengine - INFO - Epoch(train) [107][ 840/1879] lr: 7.5946e-02 eta: 1 day, 15:39:09 time: 0.4978 data_time: 0.0467 memory: 18108 grad_norm: 3.2571 loss: 4.3057 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.5569 top1_acc_1: 0.6235 top5_acc_1: 0.9176 loss_cls_1: 1.7489 2023/02/01 13:48:49 - mmengine - INFO - Epoch(train) [107][ 860/1879] lr: 7.5939e-02 eta: 1 day, 15:38:59 time: 0.4902 data_time: 0.0331 memory: 18108 grad_norm: 3.1690 loss: 4.2880 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5861 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.7019 2023/02/01 13:49:00 - mmengine - INFO - Epoch(train) [107][ 880/1879] lr: 7.5933e-02 eta: 1 day, 15:38:49 time: 0.5135 data_time: 0.0333 memory: 18108 grad_norm: 3.1800 loss: 4.4020 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6147 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.7873 2023/02/01 13:49:10 - mmengine - INFO - Epoch(train) [107][ 900/1879] lr: 7.5926e-02 eta: 1 day, 15:38:39 time: 0.5081 data_time: 0.0322 memory: 18108 grad_norm: 3.2169 loss: 4.5859 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7097 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8763 2023/02/01 13:49:20 - mmengine - INFO - Epoch(train) [107][ 920/1879] lr: 7.5920e-02 eta: 1 day, 15:38:28 time: 0.5026 data_time: 0.0433 memory: 18108 grad_norm: 3.2267 loss: 4.0542 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.2136 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.8406 2023/02/01 13:49:30 - mmengine - INFO - Epoch(train) [107][ 940/1879] lr: 7.5914e-02 eta: 1 day, 15:38:18 time: 0.5097 data_time: 0.0333 memory: 18108 grad_norm: 3.1914 loss: 4.2461 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4546 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.7915 2023/02/01 13:49:40 - mmengine - INFO - Epoch(train) [107][ 960/1879] lr: 7.5907e-02 eta: 1 day, 15:38:08 time: 0.5111 data_time: 0.0339 memory: 18108 grad_norm: 3.2896 loss: 4.3025 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.6428 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.6597 2023/02/01 13:49:50 - mmengine - INFO - Epoch(train) [107][ 980/1879] lr: 7.5901e-02 eta: 1 day, 15:37:58 time: 0.5012 data_time: 0.0324 memory: 18108 grad_norm: 3.2562 loss: 4.0820 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3182 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.7638 2023/02/01 13:50:00 - mmengine - INFO - Epoch(train) [107][1000/1879] lr: 7.5894e-02 eta: 1 day, 15:37:48 time: 0.5072 data_time: 0.0436 memory: 18108 grad_norm: 3.2090 loss: 4.4613 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6761 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.7852 2023/02/01 13:50:11 - mmengine - INFO - Epoch(train) [107][1020/1879] lr: 7.5888e-02 eta: 1 day, 15:37:38 time: 0.5133 data_time: 0.0337 memory: 18108 grad_norm: 3.2445 loss: 4.0814 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3351 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.7462 2023/02/01 13:50:21 - mmengine - INFO - Epoch(train) [107][1040/1879] lr: 7.5881e-02 eta: 1 day, 15:37:28 time: 0.5112 data_time: 0.0379 memory: 18108 grad_norm: 3.2816 loss: 4.2520 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5285 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.7235 2023/02/01 13:50:31 - mmengine - INFO - Epoch(train) [107][1060/1879] lr: 7.5875e-02 eta: 1 day, 15:37:17 time: 0.5124 data_time: 0.0395 memory: 18108 grad_norm: 3.2416 loss: 4.1932 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4339 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.7594 2023/02/01 13:50:41 - mmengine - INFO - Epoch(train) [107][1080/1879] lr: 7.5869e-02 eta: 1 day, 15:37:07 time: 0.5113 data_time: 0.0376 memory: 18108 grad_norm: 3.2527 loss: 4.2115 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.3855 top1_acc_1: 0.5529 top5_acc_1: 0.7059 loss_cls_1: 1.8260 2023/02/01 13:50:51 - mmengine - INFO - Epoch(train) [107][1100/1879] lr: 7.5862e-02 eta: 1 day, 15:36:57 time: 0.5003 data_time: 0.0311 memory: 18108 grad_norm: 3.2435 loss: 4.1943 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.4168 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.7775 2023/02/01 13:51:02 - mmengine - INFO - Epoch(train) [107][1120/1879] lr: 7.5856e-02 eta: 1 day, 15:36:47 time: 0.5040 data_time: 0.0438 memory: 18108 grad_norm: 3.2048 loss: 4.2474 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4022 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.8453 2023/02/01 13:51:12 - mmengine - INFO - Epoch(train) [107][1140/1879] lr: 7.5849e-02 eta: 1 day, 15:36:37 time: 0.5054 data_time: 0.0314 memory: 18108 grad_norm: 3.1550 loss: 4.1531 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3243 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8288 2023/02/01 13:51:22 - mmengine - INFO - Epoch(train) [107][1160/1879] lr: 7.5843e-02 eta: 1 day, 15:36:26 time: 0.4984 data_time: 0.0390 memory: 18108 grad_norm: 3.2465 loss: 4.4406 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5664 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 1.8742 2023/02/01 13:51:32 - mmengine - INFO - Epoch(train) [107][1180/1879] lr: 7.5836e-02 eta: 1 day, 15:36:16 time: 0.5101 data_time: 0.0325 memory: 18108 grad_norm: 3.1738 loss: 4.6251 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.7531 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.8720 2023/02/01 13:51:42 - mmengine - INFO - Epoch(train) [107][1200/1879] lr: 7.5830e-02 eta: 1 day, 15:36:06 time: 0.5252 data_time: 0.0438 memory: 18108 grad_norm: 3.1968 loss: 4.3421 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.5401 top1_acc_1: 0.4824 top5_acc_1: 0.7882 loss_cls_1: 1.8020 2023/02/01 13:51:53 - mmengine - INFO - Epoch(train) [107][1220/1879] lr: 7.5823e-02 eta: 1 day, 15:35:56 time: 0.5112 data_time: 0.0296 memory: 18108 grad_norm: 3.2022 loss: 4.2485 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.5113 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7373 2023/02/01 13:52:03 - mmengine - INFO - Epoch(train) [107][1240/1879] lr: 7.5817e-02 eta: 1 day, 15:35:47 time: 0.5314 data_time: 0.0376 memory: 18108 grad_norm: 3.1646 loss: 4.3524 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5371 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 1.8153 2023/02/01 13:52:14 - mmengine - INFO - Epoch(train) [107][1260/1879] lr: 7.5810e-02 eta: 1 day, 15:35:37 time: 0.5214 data_time: 0.0409 memory: 18108 grad_norm: 3.1474 loss: 4.4240 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6093 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.8146 2023/02/01 13:52:24 - mmengine - INFO - Epoch(train) [107][1280/1879] lr: 7.5804e-02 eta: 1 day, 15:35:27 time: 0.5233 data_time: 0.0376 memory: 18108 grad_norm: 3.1959 loss: 4.2154 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4915 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 1.7239 2023/02/01 13:52:35 - mmengine - INFO - Epoch(train) [107][1300/1879] lr: 7.5798e-02 eta: 1 day, 15:35:18 time: 0.5260 data_time: 0.0320 memory: 18108 grad_norm: 3.2394 loss: 4.1533 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4755 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.6777 2023/02/01 13:52:45 - mmengine - INFO - Epoch(train) [107][1320/1879] lr: 7.5791e-02 eta: 1 day, 15:35:08 time: 0.5189 data_time: 0.0447 memory: 18108 grad_norm: 3.2504 loss: 4.2116 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4217 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7899 2023/02/01 13:52:55 - mmengine - INFO - Epoch(train) [107][1340/1879] lr: 7.5785e-02 eta: 1 day, 15:34:58 time: 0.5083 data_time: 0.0307 memory: 18108 grad_norm: 3.2788 loss: 4.4080 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.6446 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.7634 2023/02/01 13:53:06 - mmengine - INFO - Epoch(train) [107][1360/1879] lr: 7.5778e-02 eta: 1 day, 15:34:48 time: 0.5128 data_time: 0.0376 memory: 18108 grad_norm: 3.2179 loss: 4.4875 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6802 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.8074 2023/02/01 13:53:16 - mmengine - INFO - Epoch(train) [107][1380/1879] lr: 7.5772e-02 eta: 1 day, 15:34:38 time: 0.5168 data_time: 0.0313 memory: 18108 grad_norm: 3.2238 loss: 4.0865 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2673 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.8192 2023/02/01 13:53:27 - mmengine - INFO - Epoch(train) [107][1400/1879] lr: 7.5765e-02 eta: 1 day, 15:34:28 time: 0.5297 data_time: 0.0445 memory: 18108 grad_norm: 3.1941 loss: 4.1510 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3924 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.7586 2023/02/01 13:53:37 - mmengine - INFO - Epoch(train) [107][1420/1879] lr: 7.5759e-02 eta: 1 day, 15:34:18 time: 0.5113 data_time: 0.0325 memory: 18108 grad_norm: 3.2020 loss: 4.3599 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5750 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.7849 2023/02/01 13:53:47 - mmengine - INFO - Epoch(train) [107][1440/1879] lr: 7.5752e-02 eta: 1 day, 15:34:08 time: 0.5296 data_time: 0.0370 memory: 18108 grad_norm: 3.1336 loss: 4.2099 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.4820 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7279 2023/02/01 13:53:58 - mmengine - INFO - Epoch(train) [107][1460/1879] lr: 7.5746e-02 eta: 1 day, 15:33:59 time: 0.5189 data_time: 0.0304 memory: 18108 grad_norm: 3.2706 loss: 4.2595 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5072 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.7523 2023/02/01 13:54:08 - mmengine - INFO - Epoch(train) [107][1480/1879] lr: 7.5739e-02 eta: 1 day, 15:33:49 time: 0.5203 data_time: 0.0362 memory: 18108 grad_norm: 3.2089 loss: 4.2383 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3736 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.8647 2023/02/01 13:54:18 - mmengine - INFO - Epoch(train) [107][1500/1879] lr: 7.5733e-02 eta: 1 day, 15:33:39 time: 0.5135 data_time: 0.0319 memory: 18108 grad_norm: 3.1598 loss: 4.2098 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4286 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7811 2023/02/01 13:54:29 - mmengine - INFO - Epoch(train) [107][1520/1879] lr: 7.5727e-02 eta: 1 day, 15:33:29 time: 0.5283 data_time: 0.0447 memory: 18108 grad_norm: 3.2154 loss: 4.3282 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5136 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.8145 2023/02/01 13:54:39 - mmengine - INFO - Epoch(train) [107][1540/1879] lr: 7.5720e-02 eta: 1 day, 15:33:19 time: 0.5090 data_time: 0.0304 memory: 18108 grad_norm: 3.2563 loss: 4.1542 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3787 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7754 2023/02/01 13:54:49 - mmengine - INFO - Epoch(train) [107][1560/1879] lr: 7.5714e-02 eta: 1 day, 15:33:09 time: 0.5070 data_time: 0.0393 memory: 18108 grad_norm: 3.2401 loss: 4.1822 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3681 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8141 2023/02/01 13:55:00 - mmengine - INFO - Epoch(train) [107][1580/1879] lr: 7.5707e-02 eta: 1 day, 15:32:59 time: 0.5249 data_time: 0.0305 memory: 18108 grad_norm: 3.2409 loss: 4.2688 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5047 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.7640 2023/02/01 13:55:10 - mmengine - INFO - Epoch(train) [107][1600/1879] lr: 7.5701e-02 eta: 1 day, 15:32:49 time: 0.5167 data_time: 0.0423 memory: 18108 grad_norm: 3.1764 loss: 4.2956 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5084 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.7871 2023/02/01 13:55:20 - mmengine - INFO - Epoch(train) [107][1620/1879] lr: 7.5694e-02 eta: 1 day, 15:32:39 time: 0.5107 data_time: 0.0303 memory: 18108 grad_norm: 3.1629 loss: 4.3982 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5522 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.8460 2023/02/01 13:55:31 - mmengine - INFO - Epoch(train) [107][1640/1879] lr: 7.5688e-02 eta: 1 day, 15:32:29 time: 0.5177 data_time: 0.0374 memory: 18108 grad_norm: 3.0939 loss: 4.5834 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.7965 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.7869 2023/02/01 13:55:41 - mmengine - INFO - Epoch(train) [107][1660/1879] lr: 7.5681e-02 eta: 1 day, 15:32:19 time: 0.5053 data_time: 0.0357 memory: 18108 grad_norm: 3.1805 loss: 4.2913 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5377 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.7537 2023/02/01 13:55:51 - mmengine - INFO - Epoch(train) [107][1680/1879] lr: 7.5675e-02 eta: 1 day, 15:32:09 time: 0.5201 data_time: 0.0375 memory: 18108 grad_norm: 3.2205 loss: 4.2884 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.3878 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.9006 2023/02/01 13:56:02 - mmengine - INFO - Epoch(train) [107][1700/1879] lr: 7.5668e-02 eta: 1 day, 15:31:59 time: 0.5130 data_time: 0.0304 memory: 18108 grad_norm: 3.2134 loss: 4.2343 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.4680 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.7663 2023/02/01 13:56:12 - mmengine - INFO - Epoch(train) [107][1720/1879] lr: 7.5662e-02 eta: 1 day, 15:31:50 time: 0.5323 data_time: 0.0363 memory: 18108 grad_norm: 3.2369 loss: 4.3863 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5636 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8227 2023/02/01 13:56:23 - mmengine - INFO - Epoch(train) [107][1740/1879] lr: 7.5656e-02 eta: 1 day, 15:31:40 time: 0.5154 data_time: 0.0296 memory: 18108 grad_norm: 3.2207 loss: 4.5372 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7856 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.7516 2023/02/01 13:56:33 - mmengine - INFO - Epoch(train) [107][1760/1879] lr: 7.5649e-02 eta: 1 day, 15:31:30 time: 0.5078 data_time: 0.0363 memory: 18108 grad_norm: 3.2120 loss: 4.4035 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5795 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8240 2023/02/01 13:56:43 - mmengine - INFO - Epoch(train) [107][1780/1879] lr: 7.5643e-02 eta: 1 day, 15:31:20 time: 0.5142 data_time: 0.0291 memory: 18108 grad_norm: 3.1702 loss: 4.3495 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.5092 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.8403 2023/02/01 13:56:53 - mmengine - INFO - Epoch(train) [107][1800/1879] lr: 7.5636e-02 eta: 1 day, 15:31:10 time: 0.5150 data_time: 0.0411 memory: 18108 grad_norm: 3.1904 loss: 4.0706 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2695 top1_acc_1: 0.6706 top5_acc_1: 0.7882 loss_cls_1: 1.8011 2023/02/01 13:57:04 - mmengine - INFO - Epoch(train) [107][1820/1879] lr: 7.5630e-02 eta: 1 day, 15:31:00 time: 0.5289 data_time: 0.0369 memory: 18108 grad_norm: 3.1770 loss: 4.3603 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5470 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.8133 2023/02/01 13:57:07 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 13:57:14 - mmengine - INFO - Epoch(train) [107][1840/1879] lr: 7.5623e-02 eta: 1 day, 15:30:50 time: 0.5118 data_time: 0.0337 memory: 18108 grad_norm: 3.2433 loss: 4.3245 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 2.4712 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.8533 2023/02/01 13:57:25 - mmengine - INFO - Epoch(train) [107][1860/1879] lr: 7.5617e-02 eta: 1 day, 15:30:40 time: 0.5149 data_time: 0.0409 memory: 18108 grad_norm: 3.1661 loss: 4.2620 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5111 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.7508 2023/02/01 13:57:34 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 13:57:34 - mmengine - INFO - Epoch(train) [107][1879/1879] lr: 7.5611e-02 eta: 1 day, 15:30:30 time: 0.4885 data_time: 0.0319 memory: 18108 grad_norm: 3.3292 loss: 4.3665 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 2.4828 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.8837 2023/02/01 13:57:49 - mmengine - INFO - Epoch(train) [108][ 20/1879] lr: 7.5604e-02 eta: 1 day, 15:30:26 time: 0.7284 data_time: 0.2606 memory: 18108 grad_norm: 3.1623 loss: 4.3488 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6351 top1_acc_1: 0.5059 top5_acc_1: 0.8353 loss_cls_1: 1.7137 2023/02/01 13:57:59 - mmengine - INFO - Epoch(train) [108][ 40/1879] lr: 7.5598e-02 eta: 1 day, 15:30:15 time: 0.4738 data_time: 0.0349 memory: 18108 grad_norm: 3.1944 loss: 4.1917 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4635 top1_acc_1: 0.5412 top5_acc_1: 0.8471 loss_cls_1: 1.7282 2023/02/01 13:58:08 - mmengine - INFO - Epoch(train) [108][ 60/1879] lr: 7.5591e-02 eta: 1 day, 15:30:04 time: 0.4791 data_time: 0.0356 memory: 18108 grad_norm: 3.2011 loss: 4.1889 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4137 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.7752 2023/02/01 13:58:18 - mmengine - INFO - Epoch(train) [108][ 80/1879] lr: 7.5585e-02 eta: 1 day, 15:29:53 time: 0.4966 data_time: 0.0334 memory: 18108 grad_norm: 3.3560 loss: 4.0444 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3451 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.6993 2023/02/01 13:58:28 - mmengine - INFO - Epoch(train) [108][ 100/1879] lr: 7.5578e-02 eta: 1 day, 15:29:43 time: 0.4831 data_time: 0.0356 memory: 18108 grad_norm: 3.2005 loss: 4.3966 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6051 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7915 2023/02/01 13:58:37 - mmengine - INFO - Epoch(train) [108][ 120/1879] lr: 7.5572e-02 eta: 1 day, 15:29:31 time: 0.4743 data_time: 0.0368 memory: 18108 grad_norm: 3.2998 loss: 4.1415 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.3902 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.7513 2023/02/01 13:58:48 - mmengine - INFO - Epoch(train) [108][ 140/1879] lr: 7.5565e-02 eta: 1 day, 15:29:22 time: 0.5184 data_time: 0.0356 memory: 18108 grad_norm: 3.1972 loss: 4.4142 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6807 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7335 2023/02/01 13:58:57 - mmengine - INFO - Epoch(train) [108][ 160/1879] lr: 7.5559e-02 eta: 1 day, 15:29:11 time: 0.4861 data_time: 0.0339 memory: 18108 grad_norm: 3.1407 loss: 4.1262 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2492 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.8770 2023/02/01 13:59:07 - mmengine - INFO - Epoch(train) [108][ 180/1879] lr: 7.5552e-02 eta: 1 day, 15:29:00 time: 0.4925 data_time: 0.0342 memory: 18108 grad_norm: 3.1854 loss: 4.3781 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4924 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.8857 2023/02/01 13:59:17 - mmengine - INFO - Epoch(train) [108][ 200/1879] lr: 7.5546e-02 eta: 1 day, 15:28:50 time: 0.4913 data_time: 0.0351 memory: 18108 grad_norm: 3.2380 loss: 4.3431 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6181 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.7249 2023/02/01 13:59:28 - mmengine - INFO - Epoch(train) [108][ 220/1879] lr: 7.5539e-02 eta: 1 day, 15:28:40 time: 0.5250 data_time: 0.0420 memory: 18108 grad_norm: 3.2226 loss: 4.0091 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2172 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.7920 2023/02/01 13:59:37 - mmengine - INFO - Epoch(train) [108][ 240/1879] lr: 7.5533e-02 eta: 1 day, 15:28:29 time: 0.4834 data_time: 0.0355 memory: 18108 grad_norm: 3.2236 loss: 4.3251 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.5418 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.7833 2023/02/01 13:59:48 - mmengine - INFO - Epoch(train) [108][ 260/1879] lr: 7.5526e-02 eta: 1 day, 15:28:19 time: 0.5111 data_time: 0.0349 memory: 18108 grad_norm: 3.2639 loss: 4.2961 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5214 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.7746 2023/02/01 13:59:57 - mmengine - INFO - Epoch(train) [108][ 280/1879] lr: 7.5520e-02 eta: 1 day, 15:28:08 time: 0.4913 data_time: 0.0341 memory: 18108 grad_norm: 3.1901 loss: 4.2918 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6275 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6643 2023/02/01 14:00:08 - mmengine - INFO - Epoch(train) [108][ 300/1879] lr: 7.5513e-02 eta: 1 day, 15:27:58 time: 0.5077 data_time: 0.0361 memory: 18108 grad_norm: 3.2077 loss: 4.2071 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3844 top1_acc_1: 0.6118 top5_acc_1: 0.7529 loss_cls_1: 1.8226 2023/02/01 14:00:17 - mmengine - INFO - Epoch(train) [108][ 320/1879] lr: 7.5507e-02 eta: 1 day, 15:27:47 time: 0.4811 data_time: 0.0345 memory: 18108 grad_norm: 3.1989 loss: 4.2537 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5228 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7309 2023/02/01 14:00:27 - mmengine - INFO - Epoch(train) [108][ 340/1879] lr: 7.5501e-02 eta: 1 day, 15:27:37 time: 0.5053 data_time: 0.0341 memory: 18108 grad_norm: 3.1712 loss: 4.1278 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4130 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.7149 2023/02/01 14:00:37 - mmengine - INFO - Epoch(train) [108][ 360/1879] lr: 7.5494e-02 eta: 1 day, 15:27:27 time: 0.4957 data_time: 0.0342 memory: 18108 grad_norm: 3.2425 loss: 4.2047 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4317 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.7730 2023/02/01 14:00:47 - mmengine - INFO - Epoch(train) [108][ 380/1879] lr: 7.5488e-02 eta: 1 day, 15:27:16 time: 0.4984 data_time: 0.0434 memory: 18108 grad_norm: 3.1845 loss: 4.1689 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4060 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.7629 2023/02/01 14:00:57 - mmengine - INFO - Epoch(train) [108][ 400/1879] lr: 7.5481e-02 eta: 1 day, 15:27:05 time: 0.4892 data_time: 0.0350 memory: 18108 grad_norm: 3.1899 loss: 4.1672 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4917 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.6755 2023/02/01 14:01:07 - mmengine - INFO - Epoch(train) [108][ 420/1879] lr: 7.5475e-02 eta: 1 day, 15:26:55 time: 0.5091 data_time: 0.0331 memory: 18108 grad_norm: 3.2981 loss: 4.2742 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5287 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.7455 2023/02/01 14:01:17 - mmengine - INFO - Epoch(train) [108][ 440/1879] lr: 7.5468e-02 eta: 1 day, 15:26:45 time: 0.4887 data_time: 0.0398 memory: 18108 grad_norm: 3.2103 loss: 4.4684 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6892 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.7792 2023/02/01 14:01:27 - mmengine - INFO - Epoch(train) [108][ 460/1879] lr: 7.5462e-02 eta: 1 day, 15:26:34 time: 0.4966 data_time: 0.0358 memory: 18108 grad_norm: 3.2145 loss: 4.1502 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4126 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7375 2023/02/01 14:01:37 - mmengine - INFO - Epoch(train) [108][ 480/1879] lr: 7.5455e-02 eta: 1 day, 15:26:23 time: 0.4911 data_time: 0.0365 memory: 18108 grad_norm: 3.2218 loss: 4.4693 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6579 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.8114 2023/02/01 14:01:47 - mmengine - INFO - Epoch(train) [108][ 500/1879] lr: 7.5449e-02 eta: 1 day, 15:26:13 time: 0.5081 data_time: 0.0316 memory: 18108 grad_norm: 3.2724 loss: 4.1345 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.3371 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.7974 2023/02/01 14:01:57 - mmengine - INFO - Epoch(train) [108][ 520/1879] lr: 7.5442e-02 eta: 1 day, 15:26:03 time: 0.4959 data_time: 0.0354 memory: 18108 grad_norm: 3.2885 loss: 4.3057 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5887 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.7170 2023/02/01 14:02:07 - mmengine - INFO - Epoch(train) [108][ 540/1879] lr: 7.5436e-02 eta: 1 day, 15:25:53 time: 0.5048 data_time: 0.0309 memory: 18108 grad_norm: 3.1959 loss: 4.5466 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7203 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.8263 2023/02/01 14:02:17 - mmengine - INFO - Epoch(train) [108][ 560/1879] lr: 7.5429e-02 eta: 1 day, 15:25:42 time: 0.4903 data_time: 0.0378 memory: 18108 grad_norm: 3.2222 loss: 4.1850 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3992 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7857 2023/02/01 14:02:27 - mmengine - INFO - Epoch(train) [108][ 580/1879] lr: 7.5423e-02 eta: 1 day, 15:25:32 time: 0.5088 data_time: 0.0395 memory: 18108 grad_norm: 3.2192 loss: 4.0333 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2551 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.7782 2023/02/01 14:02:37 - mmengine - INFO - Epoch(train) [108][ 600/1879] lr: 7.5416e-02 eta: 1 day, 15:25:22 time: 0.5099 data_time: 0.0355 memory: 18108 grad_norm: 3.2434 loss: 3.9624 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1607 top1_acc_1: 0.6118 top5_acc_1: 0.8941 loss_cls_1: 1.8017 2023/02/01 14:02:47 - mmengine - INFO - Epoch(train) [108][ 620/1879] lr: 7.5410e-02 eta: 1 day, 15:25:11 time: 0.5037 data_time: 0.0307 memory: 18108 grad_norm: 3.1840 loss: 4.1630 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3748 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7882 2023/02/01 14:02:57 - mmengine - INFO - Epoch(train) [108][ 640/1879] lr: 7.5403e-02 eta: 1 day, 15:25:01 time: 0.4971 data_time: 0.0361 memory: 18108 grad_norm: 3.1875 loss: 4.0650 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3614 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.7036 2023/02/01 14:03:08 - mmengine - INFO - Epoch(train) [108][ 660/1879] lr: 7.5397e-02 eta: 1 day, 15:24:51 time: 0.5253 data_time: 0.0304 memory: 18108 grad_norm: 3.2110 loss: 4.1817 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.4479 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.7338 2023/02/01 14:03:18 - mmengine - INFO - Epoch(train) [108][ 680/1879] lr: 7.5390e-02 eta: 1 day, 15:24:41 time: 0.4944 data_time: 0.0367 memory: 18108 grad_norm: 3.1942 loss: 4.4202 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6008 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8193 2023/02/01 14:03:28 - mmengine - INFO - Epoch(train) [108][ 700/1879] lr: 7.5384e-02 eta: 1 day, 15:24:31 time: 0.5080 data_time: 0.0285 memory: 18108 grad_norm: 3.2396 loss: 4.2567 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.4819 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.7748 2023/02/01 14:03:38 - mmengine - INFO - Epoch(train) [108][ 720/1879] lr: 7.5377e-02 eta: 1 day, 15:24:20 time: 0.5036 data_time: 0.0367 memory: 18108 grad_norm: 3.2446 loss: 4.2335 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.3425 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.8909 2023/02/01 14:03:48 - mmengine - INFO - Epoch(train) [108][ 740/1879] lr: 7.5371e-02 eta: 1 day, 15:24:10 time: 0.5087 data_time: 0.0309 memory: 18108 grad_norm: 3.2639 loss: 4.4960 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6629 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8331 2023/02/01 14:03:58 - mmengine - INFO - Epoch(train) [108][ 760/1879] lr: 7.5364e-02 eta: 1 day, 15:24:00 time: 0.5052 data_time: 0.0376 memory: 18108 grad_norm: 3.2083 loss: 4.5284 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6440 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8844 2023/02/01 14:04:09 - mmengine - INFO - Epoch(train) [108][ 780/1879] lr: 7.5358e-02 eta: 1 day, 15:23:50 time: 0.5108 data_time: 0.0308 memory: 18108 grad_norm: 3.2528 loss: 4.3898 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4985 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.8913 2023/02/01 14:04:19 - mmengine - INFO - Epoch(train) [108][ 800/1879] lr: 7.5351e-02 eta: 1 day, 15:23:40 time: 0.5064 data_time: 0.0380 memory: 18108 grad_norm: 3.2698 loss: 4.0120 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1825 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8295 2023/02/01 14:04:29 - mmengine - INFO - Epoch(train) [108][ 820/1879] lr: 7.5345e-02 eta: 1 day, 15:23:29 time: 0.5046 data_time: 0.0316 memory: 18108 grad_norm: 3.2092 loss: 4.0938 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2917 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.8021 2023/02/01 14:04:39 - mmengine - INFO - Epoch(train) [108][ 840/1879] lr: 7.5338e-02 eta: 1 day, 15:23:19 time: 0.5102 data_time: 0.0424 memory: 18108 grad_norm: 3.2732 loss: 4.3561 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5139 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.8423 2023/02/01 14:04:49 - mmengine - INFO - Epoch(train) [108][ 860/1879] lr: 7.5332e-02 eta: 1 day, 15:23:09 time: 0.5202 data_time: 0.0298 memory: 18108 grad_norm: 3.2871 loss: 4.2545 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.4079 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.8466 2023/02/01 14:04:59 - mmengine - INFO - Epoch(train) [108][ 880/1879] lr: 7.5325e-02 eta: 1 day, 15:22:59 time: 0.4989 data_time: 0.0365 memory: 18108 grad_norm: 3.2940 loss: 4.0706 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.2341 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.8366 2023/02/01 14:05:10 - mmengine - INFO - Epoch(train) [108][ 900/1879] lr: 7.5319e-02 eta: 1 day, 15:22:49 time: 0.5080 data_time: 0.0314 memory: 18108 grad_norm: 3.2515 loss: 4.5246 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7270 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.7976 2023/02/01 14:05:20 - mmengine - INFO - Epoch(train) [108][ 920/1879] lr: 7.5312e-02 eta: 1 day, 15:22:39 time: 0.5221 data_time: 0.0432 memory: 18108 grad_norm: 3.1530 loss: 4.1315 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3284 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.8031 2023/02/01 14:05:30 - mmengine - INFO - Epoch(train) [108][ 940/1879] lr: 7.5306e-02 eta: 1 day, 15:22:29 time: 0.5195 data_time: 0.0310 memory: 18108 grad_norm: 3.2013 loss: 4.3740 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6886 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.6854 2023/02/01 14:05:34 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 14:05:41 - mmengine - INFO - Epoch(train) [108][ 960/1879] lr: 7.5299e-02 eta: 1 day, 15:22:19 time: 0.5052 data_time: 0.0369 memory: 18108 grad_norm: 3.2558 loss: 4.1760 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4853 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.6907 2023/02/01 14:05:51 - mmengine - INFO - Epoch(train) [108][ 980/1879] lr: 7.5293e-02 eta: 1 day, 15:22:09 time: 0.5243 data_time: 0.0366 memory: 18108 grad_norm: 3.1863 loss: 4.3165 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5074 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.8091 2023/02/01 14:06:01 - mmengine - INFO - Epoch(train) [108][1000/1879] lr: 7.5286e-02 eta: 1 day, 15:21:59 time: 0.5071 data_time: 0.0332 memory: 18108 grad_norm: 3.2034 loss: 4.4188 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5697 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.8491 2023/02/01 14:06:12 - mmengine - INFO - Epoch(train) [108][1020/1879] lr: 7.5280e-02 eta: 1 day, 15:21:49 time: 0.5193 data_time: 0.0297 memory: 18108 grad_norm: 3.2763 loss: 4.4406 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6220 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.8187 2023/02/01 14:06:22 - mmengine - INFO - Epoch(train) [108][1040/1879] lr: 7.5273e-02 eta: 1 day, 15:21:39 time: 0.5065 data_time: 0.0348 memory: 18108 grad_norm: 3.1979 loss: 4.1675 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3699 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7976 2023/02/01 14:06:32 - mmengine - INFO - Epoch(train) [108][1060/1879] lr: 7.5267e-02 eta: 1 day, 15:21:29 time: 0.5160 data_time: 0.0307 memory: 18108 grad_norm: 3.2054 loss: 4.3153 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.6005 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7148 2023/02/01 14:06:42 - mmengine - INFO - Epoch(train) [108][1080/1879] lr: 7.5260e-02 eta: 1 day, 15:21:19 time: 0.4955 data_time: 0.0330 memory: 18108 grad_norm: 3.1921 loss: 4.1531 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3522 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.8009 2023/02/01 14:06:52 - mmengine - INFO - Epoch(train) [108][1100/1879] lr: 7.5254e-02 eta: 1 day, 15:21:08 time: 0.5048 data_time: 0.0315 memory: 18108 grad_norm: 3.2015 loss: 4.2915 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5464 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.7451 2023/02/01 14:07:02 - mmengine - INFO - Epoch(train) [108][1120/1879] lr: 7.5247e-02 eta: 1 day, 15:20:58 time: 0.4985 data_time: 0.0443 memory: 18108 grad_norm: 3.2038 loss: 4.3421 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4932 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.8489 2023/02/01 14:07:12 - mmengine - INFO - Epoch(train) [108][1140/1879] lr: 7.5241e-02 eta: 1 day, 15:20:47 time: 0.4963 data_time: 0.0305 memory: 18108 grad_norm: 3.1866 loss: 4.4432 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5379 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.9053 2023/02/01 14:07:22 - mmengine - INFO - Epoch(train) [108][1160/1879] lr: 7.5234e-02 eta: 1 day, 15:20:37 time: 0.4974 data_time: 0.0360 memory: 18108 grad_norm: 3.2791 loss: 4.2649 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4592 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.8056 2023/02/01 14:07:32 - mmengine - INFO - Epoch(train) [108][1180/1879] lr: 7.5228e-02 eta: 1 day, 15:20:27 time: 0.5064 data_time: 0.0364 memory: 18108 grad_norm: 3.2068 loss: 4.0625 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3335 top1_acc_1: 0.6353 top5_acc_1: 0.9176 loss_cls_1: 1.7290 2023/02/01 14:07:42 - mmengine - INFO - Epoch(train) [108][1200/1879] lr: 7.5221e-02 eta: 1 day, 15:20:16 time: 0.4930 data_time: 0.0375 memory: 18108 grad_norm: 3.3018 loss: 4.4855 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7174 top1_acc_1: 0.6941 top5_acc_1: 0.7882 loss_cls_1: 1.7681 2023/02/01 14:07:52 - mmengine - INFO - Epoch(train) [108][1220/1879] lr: 7.5215e-02 eta: 1 day, 15:20:06 time: 0.4998 data_time: 0.0304 memory: 18108 grad_norm: 3.1371 loss: 4.1776 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.4145 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.7630 2023/02/01 14:08:02 - mmengine - INFO - Epoch(train) [108][1240/1879] lr: 7.5208e-02 eta: 1 day, 15:19:56 time: 0.5083 data_time: 0.0459 memory: 18108 grad_norm: 3.2022 loss: 4.2457 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3968 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8489 2023/02/01 14:08:12 - mmengine - INFO - Epoch(train) [108][1260/1879] lr: 7.5202e-02 eta: 1 day, 15:19:45 time: 0.5003 data_time: 0.0307 memory: 18108 grad_norm: 3.2808 loss: 4.1515 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4300 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.7215 2023/02/01 14:08:22 - mmengine - INFO - Epoch(train) [108][1280/1879] lr: 7.5195e-02 eta: 1 day, 15:19:35 time: 0.5013 data_time: 0.0401 memory: 18108 grad_norm: 3.2951 loss: 4.5401 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7584 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.7817 2023/02/01 14:08:32 - mmengine - INFO - Epoch(train) [108][1300/1879] lr: 7.5189e-02 eta: 1 day, 15:19:25 time: 0.5041 data_time: 0.0304 memory: 18108 grad_norm: 3.2369 loss: 4.2009 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4145 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.7864 2023/02/01 14:08:42 - mmengine - INFO - Epoch(train) [108][1320/1879] lr: 7.5182e-02 eta: 1 day, 15:19:14 time: 0.4939 data_time: 0.0434 memory: 18108 grad_norm: 3.1782 loss: 4.1175 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3710 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.7465 2023/02/01 14:08:52 - mmengine - INFO - Epoch(train) [108][1340/1879] lr: 7.5176e-02 eta: 1 day, 15:19:04 time: 0.5063 data_time: 0.0305 memory: 18108 grad_norm: 3.2268 loss: 4.4572 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6279 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.8293 2023/02/01 14:09:02 - mmengine - INFO - Epoch(train) [108][1360/1879] lr: 7.5169e-02 eta: 1 day, 15:18:53 time: 0.4938 data_time: 0.0371 memory: 18108 grad_norm: 3.2179 loss: 4.5016 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5784 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.9232 2023/02/01 14:09:13 - mmengine - INFO - Epoch(train) [108][1380/1879] lr: 7.5163e-02 eta: 1 day, 15:18:43 time: 0.5143 data_time: 0.0386 memory: 18108 grad_norm: 3.2127 loss: 4.3608 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5968 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 1.7640 2023/02/01 14:09:23 - mmengine - INFO - Epoch(train) [108][1400/1879] lr: 7.5156e-02 eta: 1 day, 15:18:33 time: 0.5043 data_time: 0.0404 memory: 18108 grad_norm: 3.3185 loss: 4.2112 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.4677 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.7435 2023/02/01 14:09:33 - mmengine - INFO - Epoch(train) [108][1420/1879] lr: 7.5150e-02 eta: 1 day, 15:18:23 time: 0.5147 data_time: 0.0325 memory: 18108 grad_norm: 3.2159 loss: 4.2212 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5413 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.6799 2023/02/01 14:09:43 - mmengine - INFO - Epoch(train) [108][1440/1879] lr: 7.5143e-02 eta: 1 day, 15:18:13 time: 0.4950 data_time: 0.0380 memory: 18108 grad_norm: 3.2176 loss: 4.3211 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5522 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.7689 2023/02/01 14:09:53 - mmengine - INFO - Epoch(train) [108][1460/1879] lr: 7.5137e-02 eta: 1 day, 15:18:02 time: 0.5037 data_time: 0.0310 memory: 18108 grad_norm: 3.2500 loss: 4.4891 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.7050 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.7842 2023/02/01 14:10:03 - mmengine - INFO - Epoch(train) [108][1480/1879] lr: 7.5130e-02 eta: 1 day, 15:17:52 time: 0.5017 data_time: 0.0381 memory: 18108 grad_norm: 3.2516 loss: 4.3867 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5532 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.8334 2023/02/01 14:10:13 - mmengine - INFO - Epoch(train) [108][1500/1879] lr: 7.5124e-02 eta: 1 day, 15:17:42 time: 0.5185 data_time: 0.0306 memory: 18108 grad_norm: 3.2037 loss: 4.4384 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6217 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.8167 2023/02/01 14:10:24 - mmengine - INFO - Epoch(train) [108][1520/1879] lr: 7.5117e-02 eta: 1 day, 15:17:32 time: 0.5101 data_time: 0.0453 memory: 18108 grad_norm: 3.1964 loss: 4.1458 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3508 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.7950 2023/02/01 14:10:34 - mmengine - INFO - Epoch(train) [108][1540/1879] lr: 7.5111e-02 eta: 1 day, 15:17:22 time: 0.5143 data_time: 0.0300 memory: 18108 grad_norm: 3.1729 loss: 3.9407 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2313 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.7094 2023/02/01 14:10:44 - mmengine - INFO - Epoch(train) [108][1560/1879] lr: 7.5104e-02 eta: 1 day, 15:17:12 time: 0.5236 data_time: 0.0426 memory: 18108 grad_norm: 3.2213 loss: 4.0611 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2441 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.8171 2023/02/01 14:10:55 - mmengine - INFO - Epoch(train) [108][1580/1879] lr: 7.5098e-02 eta: 1 day, 15:17:02 time: 0.5119 data_time: 0.0359 memory: 18108 grad_norm: 3.2499 loss: 4.4852 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5638 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.9214 2023/02/01 14:11:05 - mmengine - INFO - Epoch(train) [108][1600/1879] lr: 7.5091e-02 eta: 1 day, 15:16:53 time: 0.5310 data_time: 0.0375 memory: 18108 grad_norm: 3.2561 loss: 4.1808 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3800 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.8008 2023/02/01 14:11:16 - mmengine - INFO - Epoch(train) [108][1620/1879] lr: 7.5085e-02 eta: 1 day, 15:16:43 time: 0.5226 data_time: 0.0289 memory: 18108 grad_norm: 3.2652 loss: 4.3180 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5517 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.7663 2023/02/01 14:11:26 - mmengine - INFO - Epoch(train) [108][1640/1879] lr: 7.5078e-02 eta: 1 day, 15:16:33 time: 0.5175 data_time: 0.0450 memory: 18108 grad_norm: 3.2229 loss: 4.4226 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6287 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7939 2023/02/01 14:11:36 - mmengine - INFO - Epoch(train) [108][1660/1879] lr: 7.5072e-02 eta: 1 day, 15:16:23 time: 0.5065 data_time: 0.0290 memory: 18108 grad_norm: 3.2117 loss: 4.0618 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3535 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7083 2023/02/01 14:11:47 - mmengine - INFO - Epoch(train) [108][1680/1879] lr: 7.5065e-02 eta: 1 day, 15:16:13 time: 0.5109 data_time: 0.0382 memory: 18108 grad_norm: 3.2211 loss: 4.2621 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4142 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.8479 2023/02/01 14:11:57 - mmengine - INFO - Epoch(train) [108][1700/1879] lr: 7.5059e-02 eta: 1 day, 15:16:03 time: 0.5313 data_time: 0.0304 memory: 18108 grad_norm: 3.2154 loss: 4.3400 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5681 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7719 2023/02/01 14:12:08 - mmengine - INFO - Epoch(train) [108][1720/1879] lr: 7.5052e-02 eta: 1 day, 15:15:54 time: 0.5231 data_time: 0.0398 memory: 18108 grad_norm: 3.1816 loss: 4.4125 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.5784 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8341 2023/02/01 14:12:18 - mmengine - INFO - Epoch(train) [108][1740/1879] lr: 7.5046e-02 eta: 1 day, 15:15:43 time: 0.5010 data_time: 0.0320 memory: 18108 grad_norm: 3.2211 loss: 4.1263 top1_acc_0: 0.3125 top5_acc_0: 0.8750 loss_cls_0: 2.3752 top1_acc_1: 0.4471 top5_acc_1: 0.7294 loss_cls_1: 1.7511 2023/02/01 14:12:28 - mmengine - INFO - Epoch(train) [108][1760/1879] lr: 7.5039e-02 eta: 1 day, 15:15:33 time: 0.5241 data_time: 0.0382 memory: 18108 grad_norm: 3.2192 loss: 4.5184 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.6964 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 1.8220 2023/02/01 14:12:38 - mmengine - INFO - Epoch(train) [108][1780/1879] lr: 7.5033e-02 eta: 1 day, 15:15:23 time: 0.5106 data_time: 0.0370 memory: 18108 grad_norm: 3.2190 loss: 4.4248 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5212 top1_acc_1: 0.4118 top5_acc_1: 0.7176 loss_cls_1: 1.9035 2023/02/01 14:12:48 - mmengine - INFO - Epoch(train) [108][1800/1879] lr: 7.5026e-02 eta: 1 day, 15:15:13 time: 0.4933 data_time: 0.0393 memory: 18108 grad_norm: 3.2006 loss: 4.5186 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7280 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.7906 2023/02/01 14:12:59 - mmengine - INFO - Epoch(train) [108][1820/1879] lr: 7.5020e-02 eta: 1 day, 15:15:03 time: 0.5142 data_time: 0.0312 memory: 18108 grad_norm: 3.2334 loss: 4.1774 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4752 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7022 2023/02/01 14:13:09 - mmengine - INFO - Epoch(train) [108][1840/1879] lr: 7.5013e-02 eta: 1 day, 15:14:53 time: 0.5083 data_time: 0.0452 memory: 18108 grad_norm: 3.1943 loss: 4.4725 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6968 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.7757 2023/02/01 14:13:19 - mmengine - INFO - Epoch(train) [108][1860/1879] lr: 7.5007e-02 eta: 1 day, 15:14:42 time: 0.4991 data_time: 0.0303 memory: 18108 grad_norm: 3.1531 loss: 4.3248 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5435 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.7813 2023/02/01 14:13:28 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 14:13:28 - mmengine - INFO - Epoch(train) [108][1879/1879] lr: 7.5000e-02 eta: 1 day, 15:14:32 time: 0.4796 data_time: 0.0337 memory: 18108 grad_norm: 3.2641 loss: 4.4032 top1_acc_0: 0.2857 top5_acc_0: 0.2857 loss_cls_0: 2.6248 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.7784 2023/02/01 14:13:29 - mmengine - INFO - Saving checkpoint at 108 epochs 2023/02/01 14:13:39 - mmengine - INFO - Epoch(val) [108][ 20/155] eta: 0:01:02 time: 0.4604 data_time: 0.3472 memory: 1906 2023/02/01 14:13:48 - mmengine - INFO - Epoch(val) [108][ 40/155] eta: 0:00:51 time: 0.4403 data_time: 0.3277 memory: 1906 2023/02/01 14:13:56 - mmengine - INFO - Epoch(val) [108][ 60/155] eta: 0:00:41 time: 0.4206 data_time: 0.3095 memory: 1906 2023/02/01 14:14:06 - mmengine - INFO - Epoch(val) [108][ 80/155] eta: 0:00:33 time: 0.4608 data_time: 0.3483 memory: 1906 2023/02/01 14:14:15 - mmengine - INFO - Epoch(val) [108][100/155] eta: 0:00:24 time: 0.4498 data_time: 0.3380 memory: 1906 2023/02/01 14:14:24 - mmengine - INFO - Epoch(val) [108][120/155] eta: 0:00:15 time: 0.4614 data_time: 0.3499 memory: 1906 2023/02/01 14:14:33 - mmengine - INFO - Epoch(val) [108][140/155] eta: 0:00:06 time: 0.4394 data_time: 0.3293 memory: 1906 2023/02/01 14:14:40 - mmengine - INFO - Epoch(val) [108][155/155] acc/top1: 0.4595 acc/top5: 0.7184 acc/mean1: 0.4594 2023/02/01 14:14:55 - mmengine - INFO - Epoch(train) [109][ 20/1879] lr: 7.4994e-02 eta: 1 day, 15:14:28 time: 0.7267 data_time: 0.2685 memory: 18108 grad_norm: 3.1194 loss: 4.3042 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5124 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.7918 2023/02/01 14:15:04 - mmengine - INFO - Epoch(train) [109][ 40/1879] lr: 7.4987e-02 eta: 1 day, 15:14:17 time: 0.4717 data_time: 0.0352 memory: 18108 grad_norm: 3.1844 loss: 3.9079 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2001 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.7078 2023/02/01 14:15:14 - mmengine - INFO - Epoch(train) [109][ 60/1879] lr: 7.4981e-02 eta: 1 day, 15:14:06 time: 0.4768 data_time: 0.0338 memory: 18108 grad_norm: 3.2213 loss: 3.9767 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2600 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.7167 2023/02/01 14:15:19 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 14:15:25 - mmengine - INFO - Epoch(train) [109][ 80/1879] lr: 7.4974e-02 eta: 1 day, 15:13:57 time: 0.5562 data_time: 0.0540 memory: 18108 grad_norm: 3.2528 loss: 4.1345 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3121 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.8224 2023/02/01 14:15:35 - mmengine - INFO - Epoch(train) [109][ 100/1879] lr: 7.4968e-02 eta: 1 day, 15:13:46 time: 0.4774 data_time: 0.0357 memory: 18108 grad_norm: 3.2490 loss: 4.2720 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4484 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.8236 2023/02/01 14:15:44 - mmengine - INFO - Epoch(train) [109][ 120/1879] lr: 7.4961e-02 eta: 1 day, 15:13:35 time: 0.4686 data_time: 0.0331 memory: 18108 grad_norm: 3.2485 loss: 4.0220 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3077 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.7143 2023/02/01 14:15:54 - mmengine - INFO - Epoch(train) [109][ 140/1879] lr: 7.4955e-02 eta: 1 day, 15:13:24 time: 0.4996 data_time: 0.0347 memory: 18108 grad_norm: 3.2440 loss: 4.3389 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6251 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.7138 2023/02/01 14:16:04 - mmengine - INFO - Epoch(train) [109][ 160/1879] lr: 7.4948e-02 eta: 1 day, 15:13:13 time: 0.4857 data_time: 0.0360 memory: 18108 grad_norm: 3.2551 loss: 4.1429 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4725 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.6704 2023/02/01 14:16:13 - mmengine - INFO - Epoch(train) [109][ 180/1879] lr: 7.4942e-02 eta: 1 day, 15:13:02 time: 0.4758 data_time: 0.0346 memory: 18108 grad_norm: 3.2655 loss: 4.2619 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.5294 top1_acc_1: 0.6118 top5_acc_1: 0.9059 loss_cls_1: 1.7326 2023/02/01 14:16:23 - mmengine - INFO - Epoch(train) [109][ 200/1879] lr: 7.4935e-02 eta: 1 day, 15:12:51 time: 0.4745 data_time: 0.0340 memory: 18108 grad_norm: 3.2121 loss: 4.1055 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4685 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.6370 2023/02/01 14:16:33 - mmengine - INFO - Epoch(train) [109][ 220/1879] lr: 7.4929e-02 eta: 1 day, 15:12:41 time: 0.5141 data_time: 0.0338 memory: 18108 grad_norm: 3.2067 loss: 4.5481 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7595 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.7887 2023/02/01 14:16:43 - mmengine - INFO - Epoch(train) [109][ 240/1879] lr: 7.4922e-02 eta: 1 day, 15:12:30 time: 0.4798 data_time: 0.0414 memory: 18108 grad_norm: 3.2561 loss: 4.0599 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.3117 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.7482 2023/02/01 14:16:52 - mmengine - INFO - Epoch(train) [109][ 260/1879] lr: 7.4915e-02 eta: 1 day, 15:12:19 time: 0.4758 data_time: 0.0345 memory: 18108 grad_norm: 3.3155 loss: 4.3452 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5781 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.7671 2023/02/01 14:17:02 - mmengine - INFO - Epoch(train) [109][ 280/1879] lr: 7.4909e-02 eta: 1 day, 15:12:09 time: 0.4896 data_time: 0.0337 memory: 18108 grad_norm: 3.2493 loss: 4.4065 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6693 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.7372 2023/02/01 14:17:12 - mmengine - INFO - Epoch(train) [109][ 300/1879] lr: 7.4902e-02 eta: 1 day, 15:11:58 time: 0.4950 data_time: 0.0336 memory: 18108 grad_norm: 3.1809 loss: 4.1943 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4616 top1_acc_1: 0.6588 top5_acc_1: 0.7647 loss_cls_1: 1.7327 2023/02/01 14:17:22 - mmengine - INFO - Epoch(train) [109][ 320/1879] lr: 7.4896e-02 eta: 1 day, 15:11:47 time: 0.4760 data_time: 0.0413 memory: 18108 grad_norm: 3.2612 loss: 4.3463 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.5530 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7933 2023/02/01 14:17:31 - mmengine - INFO - Epoch(train) [109][ 340/1879] lr: 7.4889e-02 eta: 1 day, 15:11:36 time: 0.4851 data_time: 0.0365 memory: 18108 grad_norm: 3.1903 loss: 4.1847 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.4579 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.7268 2023/02/01 14:17:41 - mmengine - INFO - Epoch(train) [109][ 360/1879] lr: 7.4883e-02 eta: 1 day, 15:11:26 time: 0.4944 data_time: 0.0343 memory: 18108 grad_norm: 3.2123 loss: 4.2186 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4396 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7790 2023/02/01 14:17:51 - mmengine - INFO - Epoch(train) [109][ 380/1879] lr: 7.4876e-02 eta: 1 day, 15:11:15 time: 0.4853 data_time: 0.0356 memory: 18108 grad_norm: 3.2772 loss: 4.3330 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5295 top1_acc_1: 0.5529 top5_acc_1: 0.7059 loss_cls_1: 1.8035 2023/02/01 14:18:01 - mmengine - INFO - Epoch(train) [109][ 400/1879] lr: 7.4870e-02 eta: 1 day, 15:11:04 time: 0.4946 data_time: 0.0472 memory: 18108 grad_norm: 3.2340 loss: 4.0951 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3298 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.7653 2023/02/01 14:18:11 - mmengine - INFO - Epoch(train) [109][ 420/1879] lr: 7.4863e-02 eta: 1 day, 15:10:54 time: 0.5039 data_time: 0.0294 memory: 18108 grad_norm: 3.2618 loss: 4.2933 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5152 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.7781 2023/02/01 14:18:21 - mmengine - INFO - Epoch(train) [109][ 440/1879] lr: 7.4857e-02 eta: 1 day, 15:10:44 time: 0.5053 data_time: 0.0381 memory: 18108 grad_norm: 3.2008 loss: 4.1269 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.4208 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.7060 2023/02/01 14:18:31 - mmengine - INFO - Epoch(train) [109][ 460/1879] lr: 7.4850e-02 eta: 1 day, 15:10:33 time: 0.4916 data_time: 0.0378 memory: 18108 grad_norm: 3.2146 loss: 4.2359 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4761 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.7597 2023/02/01 14:18:41 - mmengine - INFO - Epoch(train) [109][ 480/1879] lr: 7.4844e-02 eta: 1 day, 15:10:23 time: 0.4964 data_time: 0.0369 memory: 18108 grad_norm: 3.1858 loss: 4.3550 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5904 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.7646 2023/02/01 14:18:51 - mmengine - INFO - Epoch(train) [109][ 500/1879] lr: 7.4837e-02 eta: 1 day, 15:10:13 time: 0.5189 data_time: 0.0317 memory: 18108 grad_norm: 3.1719 loss: 4.2994 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5299 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.7695 2023/02/01 14:19:01 - mmengine - INFO - Epoch(train) [109][ 520/1879] lr: 7.4831e-02 eta: 1 day, 15:10:03 time: 0.5081 data_time: 0.0458 memory: 18108 grad_norm: 3.1866 loss: 4.1095 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3898 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.7197 2023/02/01 14:19:11 - mmengine - INFO - Epoch(train) [109][ 540/1879] lr: 7.4824e-02 eta: 1 day, 15:09:52 time: 0.4940 data_time: 0.0319 memory: 18108 grad_norm: 3.1828 loss: 3.9619 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2860 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.6759 2023/02/01 14:19:22 - mmengine - INFO - Epoch(train) [109][ 560/1879] lr: 7.4817e-02 eta: 1 day, 15:09:43 time: 0.5228 data_time: 0.0356 memory: 18108 grad_norm: 3.1992 loss: 4.1312 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3837 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.7475 2023/02/01 14:19:32 - mmengine - INFO - Epoch(train) [109][ 580/1879] lr: 7.4811e-02 eta: 1 day, 15:09:32 time: 0.4968 data_time: 0.0314 memory: 18108 grad_norm: 3.2888 loss: 4.3237 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5882 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.7355 2023/02/01 14:19:42 - mmengine - INFO - Epoch(train) [109][ 600/1879] lr: 7.4804e-02 eta: 1 day, 15:09:22 time: 0.5014 data_time: 0.0427 memory: 18108 grad_norm: 3.1649 loss: 4.3664 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5939 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7725 2023/02/01 14:19:52 - mmengine - INFO - Epoch(train) [109][ 620/1879] lr: 7.4798e-02 eta: 1 day, 15:09:12 time: 0.5144 data_time: 0.0313 memory: 18108 grad_norm: 3.2807 loss: 4.3279 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5411 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7868 2023/02/01 14:20:02 - mmengine - INFO - Epoch(train) [109][ 640/1879] lr: 7.4791e-02 eta: 1 day, 15:09:02 time: 0.5088 data_time: 0.0355 memory: 18108 grad_norm: 3.3121 loss: 4.4883 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6388 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8494 2023/02/01 14:20:12 - mmengine - INFO - Epoch(train) [109][ 660/1879] lr: 7.4785e-02 eta: 1 day, 15:08:51 time: 0.5079 data_time: 0.0361 memory: 18108 grad_norm: 3.1818 loss: 4.1622 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.3369 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.8253 2023/02/01 14:20:22 - mmengine - INFO - Epoch(train) [109][ 680/1879] lr: 7.4778e-02 eta: 1 day, 15:08:41 time: 0.4969 data_time: 0.0336 memory: 18108 grad_norm: 3.2589 loss: 4.2237 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4822 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7415 2023/02/01 14:20:32 - mmengine - INFO - Epoch(train) [109][ 700/1879] lr: 7.4772e-02 eta: 1 day, 15:08:31 time: 0.5088 data_time: 0.0362 memory: 18108 grad_norm: 3.2441 loss: 4.4238 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.6467 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.7771 2023/02/01 14:20:42 - mmengine - INFO - Epoch(train) [109][ 720/1879] lr: 7.4765e-02 eta: 1 day, 15:08:20 time: 0.4942 data_time: 0.0324 memory: 18108 grad_norm: 3.1977 loss: 4.4219 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6090 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 1.8129 2023/02/01 14:20:52 - mmengine - INFO - Epoch(train) [109][ 740/1879] lr: 7.4759e-02 eta: 1 day, 15:08:10 time: 0.4971 data_time: 0.0363 memory: 18108 grad_norm: 3.3079 loss: 4.2219 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4467 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7753 2023/02/01 14:21:02 - mmengine - INFO - Epoch(train) [109][ 760/1879] lr: 7.4752e-02 eta: 1 day, 15:08:00 time: 0.5067 data_time: 0.0319 memory: 18108 grad_norm: 3.1614 loss: 4.4273 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6612 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.7661 2023/02/01 14:21:13 - mmengine - INFO - Epoch(train) [109][ 780/1879] lr: 7.4746e-02 eta: 1 day, 15:07:49 time: 0.5068 data_time: 0.0425 memory: 18108 grad_norm: 3.1882 loss: 4.2234 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4577 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.7657 2023/02/01 14:21:23 - mmengine - INFO - Epoch(train) [109][ 800/1879] lr: 7.4739e-02 eta: 1 day, 15:07:39 time: 0.4973 data_time: 0.0351 memory: 18108 grad_norm: 3.2643 loss: 4.1158 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3950 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7208 2023/02/01 14:21:33 - mmengine - INFO - Epoch(train) [109][ 820/1879] lr: 7.4732e-02 eta: 1 day, 15:07:29 time: 0.5140 data_time: 0.0375 memory: 18108 grad_norm: 3.1944 loss: 4.2652 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4769 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.7883 2023/02/01 14:21:43 - mmengine - INFO - Epoch(train) [109][ 840/1879] lr: 7.4726e-02 eta: 1 day, 15:07:19 time: 0.4987 data_time: 0.0326 memory: 18108 grad_norm: 3.2725 loss: 4.2781 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.4754 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.8027 2023/02/01 14:21:53 - mmengine - INFO - Epoch(train) [109][ 860/1879] lr: 7.4719e-02 eta: 1 day, 15:07:08 time: 0.5051 data_time: 0.0465 memory: 18108 grad_norm: 3.2429 loss: 4.2326 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4178 top1_acc_1: 0.4353 top5_acc_1: 0.7176 loss_cls_1: 1.8148 2023/02/01 14:22:03 - mmengine - INFO - Epoch(train) [109][ 880/1879] lr: 7.4713e-02 eta: 1 day, 15:06:58 time: 0.5019 data_time: 0.0335 memory: 18108 grad_norm: 3.2322 loss: 4.3309 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5960 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7350 2023/02/01 14:22:13 - mmengine - INFO - Epoch(train) [109][ 900/1879] lr: 7.4706e-02 eta: 1 day, 15:06:48 time: 0.5195 data_time: 0.0346 memory: 18108 grad_norm: 3.1730 loss: 4.1232 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3511 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7722 2023/02/01 14:22:24 - mmengine - INFO - Epoch(train) [109][ 920/1879] lr: 7.4700e-02 eta: 1 day, 15:06:38 time: 0.5178 data_time: 0.0337 memory: 18108 grad_norm: 3.2127 loss: 4.3331 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6528 top1_acc_1: 0.5412 top5_acc_1: 0.8471 loss_cls_1: 1.6803 2023/02/01 14:22:34 - mmengine - INFO - Epoch(train) [109][ 940/1879] lr: 7.4693e-02 eta: 1 day, 15:06:28 time: 0.5173 data_time: 0.0340 memory: 18108 grad_norm: 3.2475 loss: 4.0538 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3662 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.6876 2023/02/01 14:22:45 - mmengine - INFO - Epoch(train) [109][ 960/1879] lr: 7.4687e-02 eta: 1 day, 15:06:19 time: 0.5292 data_time: 0.0355 memory: 18108 grad_norm: 3.2395 loss: 4.1273 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3388 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.7885 2023/02/01 14:22:55 - mmengine - INFO - Epoch(train) [109][ 980/1879] lr: 7.4680e-02 eta: 1 day, 15:06:09 time: 0.5212 data_time: 0.0393 memory: 18108 grad_norm: 3.2625 loss: 4.2556 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5548 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7007 2023/02/01 14:23:05 - mmengine - INFO - Epoch(train) [109][1000/1879] lr: 7.4674e-02 eta: 1 day, 15:05:59 time: 0.5049 data_time: 0.0328 memory: 18108 grad_norm: 3.2227 loss: 4.2888 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5131 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7758 2023/02/01 14:23:16 - mmengine - INFO - Epoch(train) [109][1020/1879] lr: 7.4667e-02 eta: 1 day, 15:05:49 time: 0.5296 data_time: 0.0380 memory: 18108 grad_norm: 3.2459 loss: 4.2200 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3897 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8303 2023/02/01 14:23:26 - mmengine - INFO - Epoch(train) [109][1040/1879] lr: 7.4660e-02 eta: 1 day, 15:05:39 time: 0.5103 data_time: 0.0261 memory: 18108 grad_norm: 3.2884 loss: 4.3078 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.4909 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.8169 2023/02/01 14:23:36 - mmengine - INFO - Epoch(train) [109][1060/1879] lr: 7.4654e-02 eta: 1 day, 15:05:29 time: 0.5075 data_time: 0.0430 memory: 18108 grad_norm: 3.2420 loss: 4.0739 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3554 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.7185 2023/02/01 14:23:40 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 14:23:46 - mmengine - INFO - Epoch(train) [109][1080/1879] lr: 7.4647e-02 eta: 1 day, 15:05:19 time: 0.4973 data_time: 0.0368 memory: 18108 grad_norm: 3.2345 loss: 4.2790 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.5444 top1_acc_1: 0.4941 top5_acc_1: 0.8118 loss_cls_1: 1.7346 2023/02/01 14:23:57 - mmengine - INFO - Epoch(train) [109][1100/1879] lr: 7.4641e-02 eta: 1 day, 15:05:09 time: 0.5160 data_time: 0.0347 memory: 18108 grad_norm: 3.1905 loss: 4.4565 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6998 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.7567 2023/02/01 14:24:07 - mmengine - INFO - Epoch(train) [109][1120/1879] lr: 7.4634e-02 eta: 1 day, 15:04:58 time: 0.5095 data_time: 0.0440 memory: 18108 grad_norm: 3.2369 loss: 4.4465 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.5590 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.8876 2023/02/01 14:24:17 - mmengine - INFO - Epoch(train) [109][1140/1879] lr: 7.4628e-02 eta: 1 day, 15:04:48 time: 0.5006 data_time: 0.0335 memory: 18108 grad_norm: 3.2244 loss: 4.1912 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3397 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8515 2023/02/01 14:24:27 - mmengine - INFO - Epoch(train) [109][1160/1879] lr: 7.4621e-02 eta: 1 day, 15:04:38 time: 0.5208 data_time: 0.0355 memory: 18108 grad_norm: 3.1144 loss: 4.0832 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.3381 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.7452 2023/02/01 14:24:37 - mmengine - INFO - Epoch(train) [109][1180/1879] lr: 7.4615e-02 eta: 1 day, 15:04:28 time: 0.5008 data_time: 0.0345 memory: 18108 grad_norm: 3.2143 loss: 4.2625 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.4887 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.7738 2023/02/01 14:24:48 - mmengine - INFO - Epoch(train) [109][1200/1879] lr: 7.4608e-02 eta: 1 day, 15:04:18 time: 0.5146 data_time: 0.0337 memory: 18108 grad_norm: 3.2727 loss: 4.2793 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4689 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.8104 2023/02/01 14:24:58 - mmengine - INFO - Epoch(train) [109][1220/1879] lr: 7.4601e-02 eta: 1 day, 15:04:08 time: 0.5016 data_time: 0.0353 memory: 18108 grad_norm: 3.2602 loss: 4.2422 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5171 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7251 2023/02/01 14:25:08 - mmengine - INFO - Epoch(train) [109][1240/1879] lr: 7.4595e-02 eta: 1 day, 15:03:58 time: 0.5357 data_time: 0.0342 memory: 18108 grad_norm: 3.2081 loss: 4.0968 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2935 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8032 2023/02/01 14:25:19 - mmengine - INFO - Epoch(train) [109][1260/1879] lr: 7.4588e-02 eta: 1 day, 15:03:48 time: 0.5091 data_time: 0.0427 memory: 18108 grad_norm: 3.2669 loss: 4.1143 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3832 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.7311 2023/02/01 14:25:29 - mmengine - INFO - Epoch(train) [109][1280/1879] lr: 7.4582e-02 eta: 1 day, 15:03:38 time: 0.5189 data_time: 0.0345 memory: 18108 grad_norm: 3.2806 loss: 4.1381 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3961 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.7420 2023/02/01 14:25:39 - mmengine - INFO - Epoch(train) [109][1300/1879] lr: 7.4575e-02 eta: 1 day, 15:03:29 time: 0.5252 data_time: 0.0330 memory: 18108 grad_norm: 3.2585 loss: 4.3121 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5400 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7721 2023/02/01 14:25:50 - mmengine - INFO - Epoch(train) [109][1320/1879] lr: 7.4569e-02 eta: 1 day, 15:03:18 time: 0.5131 data_time: 0.0368 memory: 18108 grad_norm: 3.2482 loss: 4.2347 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.4315 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8032 2023/02/01 14:26:00 - mmengine - INFO - Epoch(train) [109][1340/1879] lr: 7.4562e-02 eta: 1 day, 15:03:08 time: 0.5077 data_time: 0.0340 memory: 18108 grad_norm: 3.1955 loss: 4.4939 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6248 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.8691 2023/02/01 14:26:11 - mmengine - INFO - Epoch(train) [109][1360/1879] lr: 7.4556e-02 eta: 1 day, 15:02:59 time: 0.5386 data_time: 0.0361 memory: 18108 grad_norm: 3.1648 loss: 4.2944 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5777 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7167 2023/02/01 14:26:21 - mmengine - INFO - Epoch(train) [109][1380/1879] lr: 7.4549e-02 eta: 1 day, 15:02:49 time: 0.5172 data_time: 0.0344 memory: 18108 grad_norm: 3.2867 loss: 4.2686 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4543 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8142 2023/02/01 14:26:31 - mmengine - INFO - Epoch(train) [109][1400/1879] lr: 7.4542e-02 eta: 1 day, 15:02:39 time: 0.5090 data_time: 0.0443 memory: 18108 grad_norm: 3.2054 loss: 4.3441 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5338 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8103 2023/02/01 14:26:42 - mmengine - INFO - Epoch(train) [109][1420/1879] lr: 7.4536e-02 eta: 1 day, 15:02:29 time: 0.5170 data_time: 0.0326 memory: 18108 grad_norm: 3.2092 loss: 4.1938 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4198 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.7740 2023/02/01 14:26:52 - mmengine - INFO - Epoch(train) [109][1440/1879] lr: 7.4529e-02 eta: 1 day, 15:02:20 time: 0.5363 data_time: 0.0342 memory: 18108 grad_norm: 3.2253 loss: 4.1797 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4219 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.7577 2023/02/01 14:27:03 - mmengine - INFO - Epoch(train) [109][1460/1879] lr: 7.4523e-02 eta: 1 day, 15:02:10 time: 0.5120 data_time: 0.0326 memory: 18108 grad_norm: 3.1993 loss: 3.9991 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2764 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.7228 2023/02/01 14:27:13 - mmengine - INFO - Epoch(train) [109][1480/1879] lr: 7.4516e-02 eta: 1 day, 15:02:00 time: 0.5110 data_time: 0.0365 memory: 18108 grad_norm: 3.2583 loss: 4.4489 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6026 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8462 2023/02/01 14:27:24 - mmengine - INFO - Epoch(train) [109][1500/1879] lr: 7.4510e-02 eta: 1 day, 15:01:50 time: 0.5488 data_time: 0.0325 memory: 18108 grad_norm: 3.1744 loss: 4.1707 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4498 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7209 2023/02/01 14:27:34 - mmengine - INFO - Epoch(train) [109][1520/1879] lr: 7.4503e-02 eta: 1 day, 15:01:41 time: 0.5220 data_time: 0.0353 memory: 18108 grad_norm: 3.1795 loss: 4.4527 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6446 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8081 2023/02/01 14:27:45 - mmengine - INFO - Epoch(train) [109][1540/1879] lr: 7.4496e-02 eta: 1 day, 15:01:31 time: 0.5153 data_time: 0.0425 memory: 18108 grad_norm: 3.2272 loss: 4.0992 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3062 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.7930 2023/02/01 14:27:56 - mmengine - INFO - Epoch(train) [109][1560/1879] lr: 7.4490e-02 eta: 1 day, 15:01:22 time: 0.5451 data_time: 0.0344 memory: 18108 grad_norm: 3.2835 loss: 4.2160 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4465 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.7695 2023/02/01 14:28:06 - mmengine - INFO - Epoch(train) [109][1580/1879] lr: 7.4483e-02 eta: 1 day, 15:01:12 time: 0.5277 data_time: 0.0325 memory: 18108 grad_norm: 3.1824 loss: 4.2619 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4908 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7712 2023/02/01 14:28:16 - mmengine - INFO - Epoch(train) [109][1600/1879] lr: 7.4477e-02 eta: 1 day, 15:01:02 time: 0.5166 data_time: 0.0420 memory: 18108 grad_norm: 3.2846 loss: 4.3343 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5623 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.7720 2023/02/01 14:28:27 - mmengine - INFO - Epoch(train) [109][1620/1879] lr: 7.4470e-02 eta: 1 day, 15:00:52 time: 0.5111 data_time: 0.0323 memory: 18108 grad_norm: 3.3032 loss: 4.1978 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4066 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.7911 2023/02/01 14:28:38 - mmengine - INFO - Epoch(train) [109][1640/1879] lr: 7.4464e-02 eta: 1 day, 15:00:43 time: 0.5424 data_time: 0.0331 memory: 18108 grad_norm: 3.1706 loss: 4.1810 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.3594 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8216 2023/02/01 14:28:48 - mmengine - INFO - Epoch(train) [109][1660/1879] lr: 7.4457e-02 eta: 1 day, 15:00:32 time: 0.5030 data_time: 0.0332 memory: 18108 grad_norm: 3.2885 loss: 4.3663 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5656 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.8007 2023/02/01 14:28:58 - mmengine - INFO - Epoch(train) [109][1680/1879] lr: 7.4450e-02 eta: 1 day, 15:00:22 time: 0.5139 data_time: 0.0435 memory: 18108 grad_norm: 3.2153 loss: 4.3569 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5106 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8463 2023/02/01 14:29:09 - mmengine - INFO - Epoch(train) [109][1700/1879] lr: 7.4444e-02 eta: 1 day, 15:00:13 time: 0.5438 data_time: 0.0320 memory: 18108 grad_norm: 3.1804 loss: 4.3849 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5513 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8335 2023/02/01 14:29:19 - mmengine - INFO - Epoch(train) [109][1720/1879] lr: 7.4437e-02 eta: 1 day, 15:00:03 time: 0.5203 data_time: 0.0362 memory: 18108 grad_norm: 3.2655 loss: 4.1947 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3334 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8612 2023/02/01 14:29:30 - mmengine - INFO - Epoch(train) [109][1740/1879] lr: 7.4431e-02 eta: 1 day, 14:59:54 time: 0.5193 data_time: 0.0406 memory: 18108 grad_norm: 3.3024 loss: 4.4140 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5944 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8196 2023/02/01 14:29:40 - mmengine - INFO - Epoch(train) [109][1760/1879] lr: 7.4424e-02 eta: 1 day, 14:59:44 time: 0.5424 data_time: 0.0360 memory: 18108 grad_norm: 3.1861 loss: 4.3065 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4696 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.8369 2023/02/01 14:29:51 - mmengine - INFO - Epoch(train) [109][1780/1879] lr: 7.4418e-02 eta: 1 day, 14:59:34 time: 0.5134 data_time: 0.0343 memory: 18108 grad_norm: 3.2276 loss: 4.4642 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6615 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8026 2023/02/01 14:30:01 - mmengine - INFO - Epoch(train) [109][1800/1879] lr: 7.4411e-02 eta: 1 day, 14:59:24 time: 0.5175 data_time: 0.0343 memory: 18108 grad_norm: 3.2482 loss: 4.2238 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.4256 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.7982 2023/02/01 14:30:12 - mmengine - INFO - Epoch(train) [109][1820/1879] lr: 7.4404e-02 eta: 1 day, 14:59:15 time: 0.5210 data_time: 0.0399 memory: 18108 grad_norm: 3.1423 loss: 4.3935 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5690 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8244 2023/02/01 14:30:22 - mmengine - INFO - Epoch(train) [109][1840/1879] lr: 7.4398e-02 eta: 1 day, 14:59:05 time: 0.5424 data_time: 0.0345 memory: 18108 grad_norm: 3.1770 loss: 4.0617 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3271 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.7346 2023/02/01 14:30:33 - mmengine - INFO - Epoch(train) [109][1860/1879] lr: 7.4391e-02 eta: 1 day, 14:58:55 time: 0.5145 data_time: 0.0322 memory: 18108 grad_norm: 3.2157 loss: 4.1207 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2676 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8531 2023/02/01 14:30:42 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 14:30:42 - mmengine - INFO - Epoch(train) [109][1879/1879] lr: 7.4385e-02 eta: 1 day, 14:58:45 time: 0.4962 data_time: 0.0342 memory: 18108 grad_norm: 3.2134 loss: 4.1314 top1_acc_0: 0.4286 top5_acc_0: 1.0000 loss_cls_0: 2.2622 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.8692 2023/02/01 14:30:57 - mmengine - INFO - Epoch(train) [110][ 20/1879] lr: 7.4379e-02 eta: 1 day, 14:58:41 time: 0.7134 data_time: 0.2535 memory: 18108 grad_norm: 3.2444 loss: 4.0986 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3782 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7204 2023/02/01 14:31:07 - mmengine - INFO - Epoch(train) [110][ 40/1879] lr: 7.4372e-02 eta: 1 day, 14:58:30 time: 0.4772 data_time: 0.0365 memory: 18108 grad_norm: 3.2215 loss: 4.1052 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4293 top1_acc_1: 0.5059 top5_acc_1: 0.8235 loss_cls_1: 1.6759 2023/02/01 14:31:17 - mmengine - INFO - Epoch(train) [110][ 60/1879] lr: 7.4365e-02 eta: 1 day, 14:58:19 time: 0.4922 data_time: 0.0353 memory: 18108 grad_norm: 3.1894 loss: 4.0262 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.3634 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.6628 2023/02/01 14:31:27 - mmengine - INFO - Epoch(train) [110][ 80/1879] lr: 7.4359e-02 eta: 1 day, 14:58:09 time: 0.5158 data_time: 0.0465 memory: 18108 grad_norm: 3.2815 loss: 4.5106 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.7614 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.7492 2023/02/01 14:31:37 - mmengine - INFO - Epoch(train) [110][ 100/1879] lr: 7.4352e-02 eta: 1 day, 14:57:58 time: 0.4851 data_time: 0.0365 memory: 18108 grad_norm: 3.3093 loss: 4.2283 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5894 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 1.6390 2023/02/01 14:31:46 - mmengine - INFO - Epoch(train) [110][ 120/1879] lr: 7.4346e-02 eta: 1 day, 14:57:47 time: 0.4791 data_time: 0.0347 memory: 18108 grad_norm: 3.2202 loss: 3.9449 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.2539 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.6910 2023/02/01 14:31:56 - mmengine - INFO - Epoch(train) [110][ 140/1879] lr: 7.4339e-02 eta: 1 day, 14:57:37 time: 0.5068 data_time: 0.0358 memory: 18108 grad_norm: 3.1989 loss: 4.0706 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3305 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7401 2023/02/01 14:32:06 - mmengine - INFO - Epoch(train) [110][ 160/1879] lr: 7.4332e-02 eta: 1 day, 14:57:27 time: 0.4990 data_time: 0.0337 memory: 18108 grad_norm: 3.1863 loss: 4.3084 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5654 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7430 2023/02/01 14:32:16 - mmengine - INFO - Epoch(train) [110][ 180/1879] lr: 7.4326e-02 eta: 1 day, 14:57:16 time: 0.4811 data_time: 0.0381 memory: 18108 grad_norm: 3.2229 loss: 4.2141 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4636 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.7506 2023/02/01 14:32:20 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 14:32:26 - mmengine - INFO - Epoch(train) [110][ 200/1879] lr: 7.4319e-02 eta: 1 day, 14:57:05 time: 0.4797 data_time: 0.0351 memory: 18108 grad_norm: 3.2111 loss: 4.1437 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3858 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7579 2023/02/01 14:32:36 - mmengine - INFO - Epoch(train) [110][ 220/1879] lr: 7.4313e-02 eta: 1 day, 14:56:55 time: 0.5010 data_time: 0.0450 memory: 18108 grad_norm: 3.2772 loss: 4.4642 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6231 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.8411 2023/02/01 14:32:45 - mmengine - INFO - Epoch(train) [110][ 240/1879] lr: 7.4306e-02 eta: 1 day, 14:56:44 time: 0.4892 data_time: 0.0341 memory: 18108 grad_norm: 3.2920 loss: 4.3431 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.6596 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6835 2023/02/01 14:32:55 - mmengine - INFO - Epoch(train) [110][ 260/1879] lr: 7.4300e-02 eta: 1 day, 14:56:33 time: 0.4912 data_time: 0.0362 memory: 18108 grad_norm: 3.2386 loss: 4.2876 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5237 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.7639 2023/02/01 14:33:05 - mmengine - INFO - Epoch(train) [110][ 280/1879] lr: 7.4293e-02 eta: 1 day, 14:56:23 time: 0.4836 data_time: 0.0324 memory: 18108 grad_norm: 3.1962 loss: 3.9501 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2285 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.7216 2023/02/01 14:33:15 - mmengine - INFO - Epoch(train) [110][ 300/1879] lr: 7.4286e-02 eta: 1 day, 14:56:12 time: 0.5054 data_time: 0.0353 memory: 18108 grad_norm: 3.2874 loss: 4.2131 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4042 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 1.8089 2023/02/01 14:33:25 - mmengine - INFO - Epoch(train) [110][ 320/1879] lr: 7.4280e-02 eta: 1 day, 14:56:01 time: 0.4807 data_time: 0.0327 memory: 18108 grad_norm: 3.2618 loss: 3.9405 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.2426 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6980 2023/02/01 14:33:34 - mmengine - INFO - Epoch(train) [110][ 340/1879] lr: 7.4273e-02 eta: 1 day, 14:55:51 time: 0.4864 data_time: 0.0362 memory: 18108 grad_norm: 3.3427 loss: 4.3487 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6594 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.6892 2023/02/01 14:33:45 - mmengine - INFO - Epoch(train) [110][ 360/1879] lr: 7.4267e-02 eta: 1 day, 14:55:41 time: 0.5059 data_time: 0.0440 memory: 18108 grad_norm: 3.2623 loss: 4.1843 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5232 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.6611 2023/02/01 14:33:54 - mmengine - INFO - Epoch(train) [110][ 380/1879] lr: 7.4260e-02 eta: 1 day, 14:55:30 time: 0.4918 data_time: 0.0356 memory: 18108 grad_norm: 3.2769 loss: 4.4090 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6663 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.7427 2023/02/01 14:34:04 - mmengine - INFO - Epoch(train) [110][ 400/1879] lr: 7.4253e-02 eta: 1 day, 14:55:19 time: 0.4750 data_time: 0.0331 memory: 18108 grad_norm: 3.2496 loss: 4.2250 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4477 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.7773 2023/02/01 14:34:14 - mmengine - INFO - Epoch(train) [110][ 420/1879] lr: 7.4247e-02 eta: 1 day, 14:55:09 time: 0.5069 data_time: 0.0377 memory: 18108 grad_norm: 3.2441 loss: 4.1981 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.4448 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.7533 2023/02/01 14:34:24 - mmengine - INFO - Epoch(train) [110][ 440/1879] lr: 7.4240e-02 eta: 1 day, 14:54:58 time: 0.4938 data_time: 0.0410 memory: 18108 grad_norm: 3.3072 loss: 4.2498 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4900 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7598 2023/02/01 14:34:34 - mmengine - INFO - Epoch(train) [110][ 460/1879] lr: 7.4234e-02 eta: 1 day, 14:54:48 time: 0.4943 data_time: 0.0368 memory: 18108 grad_norm: 3.2982 loss: 4.2743 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5092 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7652 2023/02/01 14:34:44 - mmengine - INFO - Epoch(train) [110][ 480/1879] lr: 7.4227e-02 eta: 1 day, 14:54:37 time: 0.4857 data_time: 0.0340 memory: 18108 grad_norm: 3.2490 loss: 4.2697 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4119 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.8578 2023/02/01 14:34:54 - mmengine - INFO - Epoch(train) [110][ 500/1879] lr: 7.4221e-02 eta: 1 day, 14:54:27 time: 0.5133 data_time: 0.0539 memory: 18108 grad_norm: 3.2063 loss: 4.1752 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.3902 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7850 2023/02/01 14:35:04 - mmengine - INFO - Epoch(train) [110][ 520/1879] lr: 7.4214e-02 eta: 1 day, 14:54:16 time: 0.4961 data_time: 0.0341 memory: 18108 grad_norm: 3.2621 loss: 4.3856 top1_acc_0: 0.1875 top5_acc_0: 0.7500 loss_cls_0: 2.4928 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.8928 2023/02/01 14:35:14 - mmengine - INFO - Epoch(train) [110][ 540/1879] lr: 7.4207e-02 eta: 1 day, 14:54:06 time: 0.5005 data_time: 0.0337 memory: 18108 grad_norm: 3.2281 loss: 4.3610 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5151 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8459 2023/02/01 14:35:24 - mmengine - INFO - Epoch(train) [110][ 560/1879] lr: 7.4201e-02 eta: 1 day, 14:53:56 time: 0.5065 data_time: 0.0337 memory: 18108 grad_norm: 3.2445 loss: 4.1305 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2969 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8336 2023/02/01 14:35:34 - mmengine - INFO - Epoch(train) [110][ 580/1879] lr: 7.4194e-02 eta: 1 day, 14:53:46 time: 0.5102 data_time: 0.0417 memory: 18108 grad_norm: 3.2022 loss: 4.3525 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5672 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.7854 2023/02/01 14:35:44 - mmengine - INFO - Epoch(train) [110][ 600/1879] lr: 7.4188e-02 eta: 1 day, 14:53:35 time: 0.4966 data_time: 0.0336 memory: 18108 grad_norm: 3.2526 loss: 4.2653 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.4442 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.8211 2023/02/01 14:35:54 - mmengine - INFO - Epoch(train) [110][ 620/1879] lr: 7.4181e-02 eta: 1 day, 14:53:25 time: 0.5034 data_time: 0.0357 memory: 18108 grad_norm: 3.2266 loss: 4.3661 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5787 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.7875 2023/02/01 14:36:05 - mmengine - INFO - Epoch(train) [110][ 640/1879] lr: 7.4174e-02 eta: 1 day, 14:53:15 time: 0.5168 data_time: 0.0336 memory: 18108 grad_norm: 3.2063 loss: 4.1430 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4614 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.6816 2023/02/01 14:36:15 - mmengine - INFO - Epoch(train) [110][ 660/1879] lr: 7.4168e-02 eta: 1 day, 14:53:05 time: 0.5103 data_time: 0.0350 memory: 18108 grad_norm: 3.2479 loss: 4.3593 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6108 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.7486 2023/02/01 14:36:25 - mmengine - INFO - Epoch(train) [110][ 680/1879] lr: 7.4161e-02 eta: 1 day, 14:52:55 time: 0.5022 data_time: 0.0315 memory: 18108 grad_norm: 3.2127 loss: 4.0649 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3166 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.7483 2023/02/01 14:36:35 - mmengine - INFO - Epoch(train) [110][ 700/1879] lr: 7.4155e-02 eta: 1 day, 14:52:45 time: 0.5197 data_time: 0.0349 memory: 18108 grad_norm: 3.2324 loss: 4.5045 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6486 top1_acc_1: 0.6118 top5_acc_1: 0.7529 loss_cls_1: 1.8560 2023/02/01 14:36:46 - mmengine - INFO - Epoch(train) [110][ 720/1879] lr: 7.4148e-02 eta: 1 day, 14:52:35 time: 0.5102 data_time: 0.0393 memory: 18108 grad_norm: 3.2209 loss: 4.1880 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4266 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.7615 2023/02/01 14:36:56 - mmengine - INFO - Epoch(train) [110][ 740/1879] lr: 7.4141e-02 eta: 1 day, 14:52:25 time: 0.5125 data_time: 0.0348 memory: 18108 grad_norm: 3.2276 loss: 4.0998 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3076 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7922 2023/02/01 14:37:06 - mmengine - INFO - Epoch(train) [110][ 760/1879] lr: 7.4135e-02 eta: 1 day, 14:52:15 time: 0.5103 data_time: 0.0322 memory: 18108 grad_norm: 3.3388 loss: 4.0501 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2890 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7611 2023/02/01 14:37:16 - mmengine - INFO - Epoch(train) [110][ 780/1879] lr: 7.4128e-02 eta: 1 day, 14:52:04 time: 0.5046 data_time: 0.0339 memory: 18108 grad_norm: 3.2751 loss: 4.2619 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5626 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.6992 2023/02/01 14:37:26 - mmengine - INFO - Epoch(train) [110][ 800/1879] lr: 7.4122e-02 eta: 1 day, 14:51:54 time: 0.5024 data_time: 0.0331 memory: 18108 grad_norm: 3.2073 loss: 4.1429 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3375 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.8055 2023/02/01 14:37:36 - mmengine - INFO - Epoch(train) [110][ 820/1879] lr: 7.4115e-02 eta: 1 day, 14:51:44 time: 0.5062 data_time: 0.0354 memory: 18108 grad_norm: 3.1993 loss: 4.2968 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5315 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7652 2023/02/01 14:37:47 - mmengine - INFO - Epoch(train) [110][ 840/1879] lr: 7.4108e-02 eta: 1 day, 14:51:34 time: 0.5134 data_time: 0.0317 memory: 18108 grad_norm: 3.2282 loss: 4.3376 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6271 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.7105 2023/02/01 14:37:57 - mmengine - INFO - Epoch(train) [110][ 860/1879] lr: 7.4102e-02 eta: 1 day, 14:51:24 time: 0.5117 data_time: 0.0463 memory: 18108 grad_norm: 3.2264 loss: 4.1446 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.4921 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.6525 2023/02/01 14:38:07 - mmengine - INFO - Epoch(train) [110][ 880/1879] lr: 7.4095e-02 eta: 1 day, 14:51:14 time: 0.5175 data_time: 0.0324 memory: 18108 grad_norm: 3.3056 loss: 4.2137 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4835 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.7303 2023/02/01 14:38:18 - mmengine - INFO - Epoch(train) [110][ 900/1879] lr: 7.4089e-02 eta: 1 day, 14:51:04 time: 0.5197 data_time: 0.0352 memory: 18108 grad_norm: 3.2675 loss: 4.0605 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3720 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.6885 2023/02/01 14:38:28 - mmengine - INFO - Epoch(train) [110][ 920/1879] lr: 7.4082e-02 eta: 1 day, 14:50:54 time: 0.5210 data_time: 0.0448 memory: 18108 grad_norm: 3.2551 loss: 4.2884 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.4995 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.7889 2023/02/01 14:38:38 - mmengine - INFO - Epoch(train) [110][ 940/1879] lr: 7.4075e-02 eta: 1 day, 14:50:44 time: 0.5101 data_time: 0.0284 memory: 18108 grad_norm: 3.2410 loss: 4.3096 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5239 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.7858 2023/02/01 14:38:49 - mmengine - INFO - Epoch(train) [110][ 960/1879] lr: 7.4069e-02 eta: 1 day, 14:50:35 time: 0.5400 data_time: 0.0349 memory: 18108 grad_norm: 3.3041 loss: 4.0912 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.3113 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.7800 2023/02/01 14:38:59 - mmengine - INFO - Epoch(train) [110][ 980/1879] lr: 7.4062e-02 eta: 1 day, 14:50:24 time: 0.5054 data_time: 0.0293 memory: 18108 grad_norm: 3.1964 loss: 4.3578 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5177 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.8400 2023/02/01 14:39:10 - mmengine - INFO - Epoch(train) [110][1000/1879] lr: 7.4056e-02 eta: 1 day, 14:50:15 time: 0.5280 data_time: 0.0428 memory: 18108 grad_norm: 3.2017 loss: 4.2413 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4419 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.7994 2023/02/01 14:39:20 - mmengine - INFO - Epoch(train) [110][1020/1879] lr: 7.4049e-02 eta: 1 day, 14:50:05 time: 0.5203 data_time: 0.0295 memory: 18108 grad_norm: 3.1559 loss: 4.0713 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.2855 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7859 2023/02/01 14:39:31 - mmengine - INFO - Epoch(train) [110][1040/1879] lr: 7.4042e-02 eta: 1 day, 14:49:55 time: 0.5280 data_time: 0.0364 memory: 18108 grad_norm: 3.2292 loss: 4.4395 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6495 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.7900 2023/02/01 14:39:41 - mmengine - INFO - Epoch(train) [110][1060/1879] lr: 7.4036e-02 eta: 1 day, 14:49:45 time: 0.5174 data_time: 0.0279 memory: 18108 grad_norm: 3.2504 loss: 4.3003 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5470 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.7533 2023/02/01 14:39:51 - mmengine - INFO - Epoch(train) [110][1080/1879] lr: 7.4029e-02 eta: 1 day, 14:49:35 time: 0.5154 data_time: 0.0386 memory: 18108 grad_norm: 3.1958 loss: 3.8817 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2390 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.6427 2023/02/01 14:40:02 - mmengine - INFO - Epoch(train) [110][1100/1879] lr: 7.4023e-02 eta: 1 day, 14:49:26 time: 0.5349 data_time: 0.0295 memory: 18108 grad_norm: 3.2242 loss: 4.3444 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5227 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8217 2023/02/01 14:40:13 - mmengine - INFO - Epoch(train) [110][1120/1879] lr: 7.4016e-02 eta: 1 day, 14:49:16 time: 0.5192 data_time: 0.0451 memory: 18108 grad_norm: 3.2509 loss: 4.1020 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.4164 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6857 2023/02/01 14:40:23 - mmengine - INFO - Epoch(train) [110][1140/1879] lr: 7.4009e-02 eta: 1 day, 14:49:06 time: 0.5121 data_time: 0.0292 memory: 18108 grad_norm: 3.2968 loss: 4.4194 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6219 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.7975 2023/02/01 14:40:33 - mmengine - INFO - Epoch(train) [110][1160/1879] lr: 7.4003e-02 eta: 1 day, 14:48:56 time: 0.5210 data_time: 0.0372 memory: 18108 grad_norm: 3.1632 loss: 4.5248 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.7206 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.8042 2023/02/01 14:40:43 - mmengine - INFO - Epoch(train) [110][1180/1879] lr: 7.3996e-02 eta: 1 day, 14:48:46 time: 0.5121 data_time: 0.0299 memory: 18108 grad_norm: 3.2423 loss: 4.1387 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4142 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7244 2023/02/01 14:40:48 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 14:40:54 - mmengine - INFO - Epoch(train) [110][1200/1879] lr: 7.3990e-02 eta: 1 day, 14:48:37 time: 0.5318 data_time: 0.0424 memory: 18108 grad_norm: 3.1983 loss: 4.1151 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3653 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7497 2023/02/01 14:41:04 - mmengine - INFO - Epoch(train) [110][1220/1879] lr: 7.3983e-02 eta: 1 day, 14:48:26 time: 0.5045 data_time: 0.0298 memory: 18108 grad_norm: 3.1884 loss: 4.1420 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3364 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.8056 2023/02/01 14:41:15 - mmengine - INFO - Epoch(train) [110][1240/1879] lr: 7.3976e-02 eta: 1 day, 14:48:17 time: 0.5228 data_time: 0.0358 memory: 18108 grad_norm: 3.2158 loss: 4.3373 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5439 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7934 2023/02/01 14:41:25 - mmengine - INFO - Epoch(train) [110][1260/1879] lr: 7.3970e-02 eta: 1 day, 14:48:07 time: 0.5092 data_time: 0.0359 memory: 18108 grad_norm: 3.2446 loss: 4.1524 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3226 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8298 2023/02/01 14:41:35 - mmengine - INFO - Epoch(train) [110][1280/1879] lr: 7.3963e-02 eta: 1 day, 14:47:56 time: 0.5098 data_time: 0.0371 memory: 18108 grad_norm: 3.3295 loss: 4.3346 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5057 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.8288 2023/02/01 14:41:46 - mmengine - INFO - Epoch(train) [110][1300/1879] lr: 7.3957e-02 eta: 1 day, 14:47:47 time: 0.5212 data_time: 0.0274 memory: 18108 grad_norm: 3.2890 loss: 4.5262 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7327 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7935 2023/02/01 14:41:56 - mmengine - INFO - Epoch(train) [110][1320/1879] lr: 7.3950e-02 eta: 1 day, 14:47:37 time: 0.5228 data_time: 0.0376 memory: 18108 grad_norm: 3.2477 loss: 4.4598 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5660 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 1.8938 2023/02/01 14:42:06 - mmengine - INFO - Epoch(train) [110][1340/1879] lr: 7.3943e-02 eta: 1 day, 14:47:27 time: 0.5169 data_time: 0.0306 memory: 18108 grad_norm: 3.2041 loss: 4.0545 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2278 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8267 2023/02/01 14:42:17 - mmengine - INFO - Epoch(train) [110][1360/1879] lr: 7.3937e-02 eta: 1 day, 14:47:17 time: 0.5179 data_time: 0.0369 memory: 18108 grad_norm: 3.3235 loss: 4.1801 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4451 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7350 2023/02/01 14:42:27 - mmengine - INFO - Epoch(train) [110][1380/1879] lr: 7.3930e-02 eta: 1 day, 14:47:07 time: 0.5093 data_time: 0.0292 memory: 18108 grad_norm: 3.2808 loss: 4.1535 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4314 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.7220 2023/02/01 14:42:37 - mmengine - INFO - Epoch(train) [110][1400/1879] lr: 7.3923e-02 eta: 1 day, 14:46:57 time: 0.5237 data_time: 0.0459 memory: 18108 grad_norm: 3.2500 loss: 4.4786 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6318 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.8469 2023/02/01 14:42:47 - mmengine - INFO - Epoch(train) [110][1420/1879] lr: 7.3917e-02 eta: 1 day, 14:46:47 time: 0.4982 data_time: 0.0305 memory: 18108 grad_norm: 3.2149 loss: 4.3965 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5979 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.7985 2023/02/01 14:42:58 - mmengine - INFO - Epoch(train) [110][1440/1879] lr: 7.3910e-02 eta: 1 day, 14:46:37 time: 0.5325 data_time: 0.0397 memory: 18108 grad_norm: 3.2269 loss: 4.2311 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4260 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.8051 2023/02/01 14:43:08 - mmengine - INFO - Epoch(train) [110][1460/1879] lr: 7.3904e-02 eta: 1 day, 14:46:27 time: 0.5108 data_time: 0.0295 memory: 18108 grad_norm: 3.2267 loss: 4.4810 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6800 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8010 2023/02/01 14:43:19 - mmengine - INFO - Epoch(train) [110][1480/1879] lr: 7.3897e-02 eta: 1 day, 14:46:17 time: 0.5119 data_time: 0.0437 memory: 18108 grad_norm: 3.2067 loss: 4.2350 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4341 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.8009 2023/02/01 14:43:29 - mmengine - INFO - Epoch(train) [110][1500/1879] lr: 7.3890e-02 eta: 1 day, 14:46:07 time: 0.5178 data_time: 0.0286 memory: 18108 grad_norm: 3.2187 loss: 4.2771 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4826 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.7945 2023/02/01 14:43:39 - mmengine - INFO - Epoch(train) [110][1520/1879] lr: 7.3884e-02 eta: 1 day, 14:45:57 time: 0.5152 data_time: 0.0445 memory: 18108 grad_norm: 3.2699 loss: 4.2172 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3961 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.8211 2023/02/01 14:43:49 - mmengine - INFO - Epoch(train) [110][1540/1879] lr: 7.3877e-02 eta: 1 day, 14:45:47 time: 0.5086 data_time: 0.0284 memory: 18108 grad_norm: 3.2234 loss: 4.3595 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5151 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.8444 2023/02/01 14:44:00 - mmengine - INFO - Epoch(train) [110][1560/1879] lr: 7.3871e-02 eta: 1 day, 14:45:37 time: 0.5176 data_time: 0.0368 memory: 18108 grad_norm: 3.2756 loss: 4.4042 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4784 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.9258 2023/02/01 14:44:10 - mmengine - INFO - Epoch(train) [110][1580/1879] lr: 7.3864e-02 eta: 1 day, 14:45:27 time: 0.5142 data_time: 0.0289 memory: 18108 grad_norm: 3.3078 loss: 4.3782 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.5898 top1_acc_1: 0.5882 top5_acc_1: 0.7176 loss_cls_1: 1.7884 2023/02/01 14:44:21 - mmengine - INFO - Epoch(train) [110][1600/1879] lr: 7.3857e-02 eta: 1 day, 14:45:18 time: 0.5319 data_time: 0.0372 memory: 18108 grad_norm: 3.2363 loss: 4.3850 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5189 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.8661 2023/02/01 14:44:31 - mmengine - INFO - Epoch(train) [110][1620/1879] lr: 7.3851e-02 eta: 1 day, 14:45:08 time: 0.5114 data_time: 0.0287 memory: 18108 grad_norm: 3.2367 loss: 4.3058 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4470 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.8588 2023/02/01 14:44:42 - mmengine - INFO - Epoch(train) [110][1640/1879] lr: 7.3844e-02 eta: 1 day, 14:44:59 time: 0.5542 data_time: 0.0358 memory: 18108 grad_norm: 3.2272 loss: 4.2661 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5024 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.7636 2023/02/01 14:44:52 - mmengine - INFO - Epoch(train) [110][1660/1879] lr: 7.3837e-02 eta: 1 day, 14:44:49 time: 0.5187 data_time: 0.0295 memory: 18108 grad_norm: 3.1920 loss: 4.4310 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6269 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.8041 2023/02/01 14:45:03 - mmengine - INFO - Epoch(train) [110][1680/1879] lr: 7.3831e-02 eta: 1 day, 14:44:39 time: 0.5159 data_time: 0.0370 memory: 18108 grad_norm: 3.2165 loss: 4.3103 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4258 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.8845 2023/02/01 14:45:14 - mmengine - INFO - Epoch(train) [110][1700/1879] lr: 7.3824e-02 eta: 1 day, 14:44:29 time: 0.5365 data_time: 0.0296 memory: 18108 grad_norm: 3.2838 loss: 4.3065 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5682 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.7383 2023/02/01 14:45:24 - mmengine - INFO - Epoch(train) [110][1720/1879] lr: 7.3818e-02 eta: 1 day, 14:44:20 time: 0.5242 data_time: 0.0383 memory: 18108 grad_norm: 3.2499 loss: 4.2981 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.4935 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.8046 2023/02/01 14:45:35 - mmengine - INFO - Epoch(train) [110][1740/1879] lr: 7.3811e-02 eta: 1 day, 14:44:10 time: 0.5311 data_time: 0.0314 memory: 18108 grad_norm: 3.2487 loss: 4.4000 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6280 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.7719 2023/02/01 14:45:46 - mmengine - INFO - Epoch(train) [110][1760/1879] lr: 7.3804e-02 eta: 1 day, 14:44:01 time: 0.5462 data_time: 0.0389 memory: 18108 grad_norm: 3.2612 loss: 4.2347 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.4118 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.8229 2023/02/01 14:45:56 - mmengine - INFO - Epoch(train) [110][1780/1879] lr: 7.3798e-02 eta: 1 day, 14:43:51 time: 0.5156 data_time: 0.0297 memory: 18108 grad_norm: 3.3037 loss: 4.3277 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5265 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8012 2023/02/01 14:46:07 - mmengine - INFO - Epoch(train) [110][1800/1879] lr: 7.3791e-02 eta: 1 day, 14:43:41 time: 0.5311 data_time: 0.0417 memory: 18108 grad_norm: 3.2721 loss: 4.2042 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4941 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.7101 2023/02/01 14:46:17 - mmengine - INFO - Epoch(train) [110][1820/1879] lr: 7.3784e-02 eta: 1 day, 14:43:32 time: 0.5206 data_time: 0.0301 memory: 18108 grad_norm: 3.2682 loss: 4.4219 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5685 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.8534 2023/02/01 14:46:28 - mmengine - INFO - Epoch(train) [110][1840/1879] lr: 7.3778e-02 eta: 1 day, 14:43:22 time: 0.5300 data_time: 0.0360 memory: 18108 grad_norm: 3.1802 loss: 4.1932 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4119 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7814 2023/02/01 14:46:38 - mmengine - INFO - Epoch(train) [110][1860/1879] lr: 7.3771e-02 eta: 1 day, 14:43:12 time: 0.5245 data_time: 0.0372 memory: 18108 grad_norm: 3.1746 loss: 4.0626 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3494 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7133 2023/02/01 14:46:48 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 14:46:48 - mmengine - INFO - Epoch(train) [110][1879/1879] lr: 7.3765e-02 eta: 1 day, 14:43:02 time: 0.4977 data_time: 0.0325 memory: 18108 grad_norm: 3.2523 loss: 4.4045 top1_acc_0: 0.7143 top5_acc_0: 0.8571 loss_cls_0: 2.5766 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8279 2023/02/01 14:47:02 - mmengine - INFO - Epoch(train) [111][ 20/1879] lr: 7.3758e-02 eta: 1 day, 14:42:58 time: 0.7121 data_time: 0.2519 memory: 18108 grad_norm: 3.1506 loss: 3.8797 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.2599 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.6198 2023/02/01 14:47:12 - mmengine - INFO - Epoch(train) [111][ 40/1879] lr: 7.3752e-02 eta: 1 day, 14:42:47 time: 0.4773 data_time: 0.0347 memory: 18108 grad_norm: 3.2502 loss: 4.1198 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.3730 top1_acc_1: 0.5647 top5_acc_1: 0.7059 loss_cls_1: 1.7468 2023/02/01 14:47:22 - mmengine - INFO - Epoch(train) [111][ 60/1879] lr: 7.3745e-02 eta: 1 day, 14:42:36 time: 0.4888 data_time: 0.0356 memory: 18108 grad_norm: 3.2819 loss: 4.0976 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3561 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7415 2023/02/01 14:47:32 - mmengine - INFO - Epoch(train) [111][ 80/1879] lr: 7.3738e-02 eta: 1 day, 14:42:26 time: 0.5182 data_time: 0.0335 memory: 18108 grad_norm: 3.2332 loss: 4.3220 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 2.6055 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.7165 2023/02/01 14:47:42 - mmengine - INFO - Epoch(train) [111][ 100/1879] lr: 7.3732e-02 eta: 1 day, 14:42:15 time: 0.4895 data_time: 0.0365 memory: 18108 grad_norm: 3.2631 loss: 4.1696 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4005 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7691 2023/02/01 14:47:52 - mmengine - INFO - Epoch(train) [111][ 120/1879] lr: 7.3725e-02 eta: 1 day, 14:42:05 time: 0.4837 data_time: 0.0341 memory: 18108 grad_norm: 3.3150 loss: 4.2751 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.4968 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.7783 2023/02/01 14:48:02 - mmengine - INFO - Epoch(train) [111][ 140/1879] lr: 7.3719e-02 eta: 1 day, 14:41:55 time: 0.5233 data_time: 0.0336 memory: 18108 grad_norm: 3.2437 loss: 3.9720 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2664 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7055 2023/02/01 14:48:12 - mmengine - INFO - Epoch(train) [111][ 160/1879] lr: 7.3712e-02 eta: 1 day, 14:41:44 time: 0.4987 data_time: 0.0414 memory: 18108 grad_norm: 3.2758 loss: 4.2023 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.5268 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.6755 2023/02/01 14:48:22 - mmengine - INFO - Epoch(train) [111][ 180/1879] lr: 7.3705e-02 eta: 1 day, 14:41:34 time: 0.4898 data_time: 0.0356 memory: 18108 grad_norm: 3.2294 loss: 4.4046 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6351 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.7695 2023/02/01 14:48:32 - mmengine - INFO - Epoch(train) [111][ 200/1879] lr: 7.3699e-02 eta: 1 day, 14:41:23 time: 0.4979 data_time: 0.0328 memory: 18108 grad_norm: 3.2590 loss: 4.2922 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5876 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.7046 2023/02/01 14:48:42 - mmengine - INFO - Epoch(train) [111][ 220/1879] lr: 7.3692e-02 eta: 1 day, 14:41:13 time: 0.4990 data_time: 0.0355 memory: 18108 grad_norm: 3.1758 loss: 3.8424 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0817 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.7607 2023/02/01 14:48:52 - mmengine - INFO - Epoch(train) [111][ 240/1879] lr: 7.3685e-02 eta: 1 day, 14:41:02 time: 0.4962 data_time: 0.0422 memory: 18108 grad_norm: 3.1834 loss: 4.3054 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5499 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.7555 2023/02/01 14:49:02 - mmengine - INFO - Epoch(train) [111][ 260/1879] lr: 7.3679e-02 eta: 1 day, 14:40:52 time: 0.4884 data_time: 0.0357 memory: 18108 grad_norm: 3.3202 loss: 4.1370 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4169 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7201 2023/02/01 14:49:12 - mmengine - INFO - Epoch(train) [111][ 280/1879] lr: 7.3672e-02 eta: 1 day, 14:40:41 time: 0.4913 data_time: 0.0323 memory: 18108 grad_norm: 3.2583 loss: 4.1877 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4316 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.7562 2023/02/01 14:49:22 - mmengine - INFO - Epoch(train) [111][ 300/1879] lr: 7.3665e-02 eta: 1 day, 14:40:31 time: 0.5042 data_time: 0.0362 memory: 18108 grad_norm: 3.2309 loss: 4.0789 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3565 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.7225 2023/02/01 14:49:27 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 14:49:32 - mmengine - INFO - Epoch(train) [111][ 320/1879] lr: 7.3659e-02 eta: 1 day, 14:40:20 time: 0.4961 data_time: 0.0407 memory: 18108 grad_norm: 3.2918 loss: 4.4861 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.6458 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.8403 2023/02/01 14:49:42 - mmengine - INFO - Epoch(train) [111][ 340/1879] lr: 7.3652e-02 eta: 1 day, 14:40:10 time: 0.5085 data_time: 0.0378 memory: 18108 grad_norm: 3.2466 loss: 4.3511 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5917 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.7594 2023/02/01 14:49:52 - mmengine - INFO - Epoch(train) [111][ 360/1879] lr: 7.3646e-02 eta: 1 day, 14:40:00 time: 0.4931 data_time: 0.0355 memory: 18108 grad_norm: 3.2852 loss: 4.3071 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.4954 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.8116 2023/02/01 14:50:02 - mmengine - INFO - Epoch(train) [111][ 380/1879] lr: 7.3639e-02 eta: 1 day, 14:39:49 time: 0.5039 data_time: 0.0432 memory: 18108 grad_norm: 3.2544 loss: 4.2422 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4392 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8030 2023/02/01 14:50:12 - mmengine - INFO - Epoch(train) [111][ 400/1879] lr: 7.3632e-02 eta: 1 day, 14:39:39 time: 0.4916 data_time: 0.0341 memory: 18108 grad_norm: 3.2113 loss: 4.1323 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4067 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.7256 2023/02/01 14:50:21 - mmengine - INFO - Epoch(train) [111][ 420/1879] lr: 7.3626e-02 eta: 1 day, 14:39:28 time: 0.4910 data_time: 0.0363 memory: 18108 grad_norm: 3.2289 loss: 4.2479 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4547 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.7932 2023/02/01 14:50:31 - mmengine - INFO - Epoch(train) [111][ 440/1879] lr: 7.3619e-02 eta: 1 day, 14:39:18 time: 0.4939 data_time: 0.0330 memory: 18108 grad_norm: 3.2965 loss: 4.2966 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4868 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.8098 2023/02/01 14:50:41 - mmengine - INFO - Epoch(train) [111][ 460/1879] lr: 7.3612e-02 eta: 1 day, 14:39:07 time: 0.4970 data_time: 0.0360 memory: 18108 grad_norm: 3.2279 loss: 4.0767 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4059 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.6707 2023/02/01 14:50:51 - mmengine - INFO - Epoch(train) [111][ 480/1879] lr: 7.3606e-02 eta: 1 day, 14:38:57 time: 0.4943 data_time: 0.0419 memory: 18108 grad_norm: 3.2120 loss: 4.3076 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5409 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7666 2023/02/01 14:51:01 - mmengine - INFO - Epoch(train) [111][ 500/1879] lr: 7.3599e-02 eta: 1 day, 14:38:46 time: 0.4987 data_time: 0.0384 memory: 18108 grad_norm: 3.2679 loss: 4.2475 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5232 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7243 2023/02/01 14:51:11 - mmengine - INFO - Epoch(train) [111][ 520/1879] lr: 7.3592e-02 eta: 1 day, 14:38:36 time: 0.4965 data_time: 0.0346 memory: 18108 grad_norm: 3.2603 loss: 4.1124 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3708 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.7416 2023/02/01 14:51:21 - mmengine - INFO - Epoch(train) [111][ 540/1879] lr: 7.3586e-02 eta: 1 day, 14:38:25 time: 0.4992 data_time: 0.0423 memory: 18108 grad_norm: 3.2923 loss: 4.3978 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5971 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8007 2023/02/01 14:51:31 - mmengine - INFO - Epoch(train) [111][ 560/1879] lr: 7.3579e-02 eta: 1 day, 14:38:15 time: 0.5039 data_time: 0.0318 memory: 18108 grad_norm: 3.2451 loss: 4.2393 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4775 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7617 2023/02/01 14:51:41 - mmengine - INFO - Epoch(train) [111][ 580/1879] lr: 7.3573e-02 eta: 1 day, 14:38:05 time: 0.5122 data_time: 0.0348 memory: 18108 grad_norm: 3.2944 loss: 4.4985 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.6897 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.8088 2023/02/01 14:51:52 - mmengine - INFO - Epoch(train) [111][ 600/1879] lr: 7.3566e-02 eta: 1 day, 14:37:55 time: 0.5140 data_time: 0.0317 memory: 18108 grad_norm: 3.3154 loss: 4.1495 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4127 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.7367 2023/02/01 14:52:02 - mmengine - INFO - Epoch(train) [111][ 620/1879] lr: 7.3559e-02 eta: 1 day, 14:37:45 time: 0.5144 data_time: 0.0434 memory: 18108 grad_norm: 3.2673 loss: 4.2569 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5022 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.7546 2023/02/01 14:52:12 - mmengine - INFO - Epoch(train) [111][ 640/1879] lr: 7.3553e-02 eta: 1 day, 14:37:35 time: 0.5071 data_time: 0.0336 memory: 18108 grad_norm: 3.2616 loss: 4.0366 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3129 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.7238 2023/02/01 14:52:23 - mmengine - INFO - Epoch(train) [111][ 660/1879] lr: 7.3546e-02 eta: 1 day, 14:37:25 time: 0.5232 data_time: 0.0348 memory: 18108 grad_norm: 3.2641 loss: 4.1405 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4114 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7291 2023/02/01 14:52:32 - mmengine - INFO - Epoch(train) [111][ 680/1879] lr: 7.3539e-02 eta: 1 day, 14:37:15 time: 0.4920 data_time: 0.0324 memory: 18108 grad_norm: 3.2363 loss: 4.3181 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4662 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.8519 2023/02/01 14:52:43 - mmengine - INFO - Epoch(train) [111][ 700/1879] lr: 7.3533e-02 eta: 1 day, 14:37:05 time: 0.5238 data_time: 0.0416 memory: 18108 grad_norm: 3.2901 loss: 4.3346 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6758 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.6588 2023/02/01 14:52:53 - mmengine - INFO - Epoch(train) [111][ 720/1879] lr: 7.3526e-02 eta: 1 day, 14:36:55 time: 0.5023 data_time: 0.0322 memory: 18108 grad_norm: 3.3110 loss: 4.3447 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5899 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.7548 2023/02/01 14:53:03 - mmengine - INFO - Epoch(train) [111][ 740/1879] lr: 7.3519e-02 eta: 1 day, 14:36:44 time: 0.5074 data_time: 0.0356 memory: 18108 grad_norm: 3.2165 loss: 4.1685 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4594 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.7091 2023/02/01 14:53:13 - mmengine - INFO - Epoch(train) [111][ 760/1879] lr: 7.3513e-02 eta: 1 day, 14:36:34 time: 0.5034 data_time: 0.0325 memory: 18108 grad_norm: 3.2447 loss: 4.1894 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4462 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7431 2023/02/01 14:53:24 - mmengine - INFO - Epoch(train) [111][ 780/1879] lr: 7.3506e-02 eta: 1 day, 14:36:24 time: 0.5151 data_time: 0.0421 memory: 18108 grad_norm: 3.3016 loss: 4.2755 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.5083 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7673 2023/02/01 14:53:34 - mmengine - INFO - Epoch(train) [111][ 800/1879] lr: 7.3499e-02 eta: 1 day, 14:36:14 time: 0.4948 data_time: 0.0334 memory: 18108 grad_norm: 3.2436 loss: 4.1680 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4560 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.7120 2023/02/01 14:53:44 - mmengine - INFO - Epoch(train) [111][ 820/1879] lr: 7.3493e-02 eta: 1 day, 14:36:03 time: 0.4998 data_time: 0.0364 memory: 18108 grad_norm: 3.2489 loss: 4.2844 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5847 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.6997 2023/02/01 14:53:54 - mmengine - INFO - Epoch(train) [111][ 840/1879] lr: 7.3486e-02 eta: 1 day, 14:35:53 time: 0.5073 data_time: 0.0336 memory: 18108 grad_norm: 3.2179 loss: 4.2498 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4409 top1_acc_1: 0.6824 top5_acc_1: 0.9412 loss_cls_1: 1.8089 2023/02/01 14:54:04 - mmengine - INFO - Epoch(train) [111][ 860/1879] lr: 7.3480e-02 eta: 1 day, 14:35:43 time: 0.5090 data_time: 0.0349 memory: 18108 grad_norm: 3.2738 loss: 4.2205 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3700 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.8505 2023/02/01 14:54:14 - mmengine - INFO - Epoch(train) [111][ 880/1879] lr: 7.3473e-02 eta: 1 day, 14:35:33 time: 0.5021 data_time: 0.0336 memory: 18108 grad_norm: 3.2380 loss: 3.9844 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2421 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.7423 2023/02/01 14:54:24 - mmengine - INFO - Epoch(train) [111][ 900/1879] lr: 7.3466e-02 eta: 1 day, 14:35:22 time: 0.5084 data_time: 0.0337 memory: 18108 grad_norm: 3.2911 loss: 4.2036 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4624 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7412 2023/02/01 14:54:34 - mmengine - INFO - Epoch(train) [111][ 920/1879] lr: 7.3460e-02 eta: 1 day, 14:35:13 time: 0.5181 data_time: 0.0403 memory: 18108 grad_norm: 3.2294 loss: 3.9399 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2324 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.7074 2023/02/01 14:54:45 - mmengine - INFO - Epoch(train) [111][ 940/1879] lr: 7.3453e-02 eta: 1 day, 14:35:02 time: 0.5111 data_time: 0.0343 memory: 18108 grad_norm: 3.3174 loss: 4.2170 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4847 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.7323 2023/02/01 14:54:55 - mmengine - INFO - Epoch(train) [111][ 960/1879] lr: 7.3446e-02 eta: 1 day, 14:34:52 time: 0.4988 data_time: 0.0340 memory: 18108 grad_norm: 3.2928 loss: 4.6112 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8448 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.7664 2023/02/01 14:55:05 - mmengine - INFO - Epoch(train) [111][ 980/1879] lr: 7.3440e-02 eta: 1 day, 14:34:42 time: 0.5132 data_time: 0.0350 memory: 18108 grad_norm: 3.2932 loss: 4.2102 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5124 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.6978 2023/02/01 14:55:15 - mmengine - INFO - Epoch(train) [111][1000/1879] lr: 7.3433e-02 eta: 1 day, 14:34:32 time: 0.5035 data_time: 0.0338 memory: 18108 grad_norm: 3.2652 loss: 4.5897 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.8178 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7719 2023/02/01 14:55:25 - mmengine - INFO - Epoch(train) [111][1020/1879] lr: 7.3426e-02 eta: 1 day, 14:34:22 time: 0.5140 data_time: 0.0339 memory: 18108 grad_norm: 3.2328 loss: 4.4058 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.5320 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8739 2023/02/01 14:55:36 - mmengine - INFO - Epoch(train) [111][1040/1879] lr: 7.3420e-02 eta: 1 day, 14:34:12 time: 0.5110 data_time: 0.0318 memory: 18108 grad_norm: 3.2452 loss: 4.3065 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.4762 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8303 2023/02/01 14:55:46 - mmengine - INFO - Epoch(train) [111][1060/1879] lr: 7.3413e-02 eta: 1 day, 14:34:02 time: 0.5139 data_time: 0.0442 memory: 18108 grad_norm: 3.2456 loss: 4.3388 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5775 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7613 2023/02/01 14:55:56 - mmengine - INFO - Epoch(train) [111][1080/1879] lr: 7.3406e-02 eta: 1 day, 14:33:51 time: 0.4960 data_time: 0.0325 memory: 18108 grad_norm: 3.1944 loss: 4.2415 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.4160 top1_acc_1: 0.4941 top5_acc_1: 0.6824 loss_cls_1: 1.8255 2023/02/01 14:56:06 - mmengine - INFO - Epoch(train) [111][1100/1879] lr: 7.3400e-02 eta: 1 day, 14:33:41 time: 0.5232 data_time: 0.0361 memory: 18108 grad_norm: 3.2272 loss: 4.2993 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5076 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.7916 2023/02/01 14:56:16 - mmengine - INFO - Epoch(train) [111][1120/1879] lr: 7.3393e-02 eta: 1 day, 14:33:31 time: 0.5010 data_time: 0.0340 memory: 18108 grad_norm: 3.2557 loss: 4.4270 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6225 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8046 2023/02/01 14:56:27 - mmengine - INFO - Epoch(train) [111][1140/1879] lr: 7.3386e-02 eta: 1 day, 14:33:21 time: 0.5124 data_time: 0.0422 memory: 18108 grad_norm: 3.2289 loss: 4.1977 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.3799 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.8178 2023/02/01 14:56:37 - mmengine - INFO - Epoch(train) [111][1160/1879] lr: 7.3380e-02 eta: 1 day, 14:33:11 time: 0.5081 data_time: 0.0322 memory: 18108 grad_norm: 3.1895 loss: 4.2041 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4506 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.7535 2023/02/01 14:56:47 - mmengine - INFO - Epoch(train) [111][1180/1879] lr: 7.3373e-02 eta: 1 day, 14:33:01 time: 0.5092 data_time: 0.0350 memory: 18108 grad_norm: 3.2313 loss: 4.1117 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3257 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.7860 2023/02/01 14:56:57 - mmengine - INFO - Epoch(train) [111][1200/1879] lr: 7.3366e-02 eta: 1 day, 14:32:50 time: 0.4914 data_time: 0.0321 memory: 18108 grad_norm: 3.1839 loss: 4.3241 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6375 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.6866 2023/02/01 14:57:07 - mmengine - INFO - Epoch(train) [111][1220/1879] lr: 7.3360e-02 eta: 1 day, 14:32:40 time: 0.5252 data_time: 0.0382 memory: 18108 grad_norm: 3.3052 loss: 4.4643 top1_acc_0: 0.3125 top5_acc_0: 0.8750 loss_cls_0: 2.6869 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7774 2023/02/01 14:57:18 - mmengine - INFO - Epoch(train) [111][1240/1879] lr: 7.3353e-02 eta: 1 day, 14:32:31 time: 0.5199 data_time: 0.0313 memory: 18108 grad_norm: 3.1737 loss: 4.3836 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6057 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7779 2023/02/01 14:57:28 - mmengine - INFO - Epoch(train) [111][1260/1879] lr: 7.3346e-02 eta: 1 day, 14:32:20 time: 0.5059 data_time: 0.0358 memory: 18108 grad_norm: 3.3183 loss: 4.2675 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.4676 top1_acc_1: 0.6118 top5_acc_1: 0.8941 loss_cls_1: 1.7998 2023/02/01 14:57:38 - mmengine - INFO - Epoch(train) [111][1280/1879] lr: 7.3340e-02 eta: 1 day, 14:32:10 time: 0.5049 data_time: 0.0403 memory: 18108 grad_norm: 3.2646 loss: 4.1914 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3724 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8190 2023/02/01 14:57:48 - mmengine - INFO - Epoch(train) [111][1300/1879] lr: 7.3333e-02 eta: 1 day, 14:32:00 time: 0.5169 data_time: 0.0356 memory: 18108 grad_norm: 3.2715 loss: 4.4763 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6499 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.8264 2023/02/01 14:57:53 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 14:57:58 - mmengine - INFO - Epoch(train) [111][1320/1879] lr: 7.3326e-02 eta: 1 day, 14:31:50 time: 0.5024 data_time: 0.0308 memory: 18108 grad_norm: 3.3179 loss: 4.2006 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.4568 top1_acc_1: 0.4471 top5_acc_1: 0.8235 loss_cls_1: 1.7438 2023/02/01 14:58:09 - mmengine - INFO - Epoch(train) [111][1340/1879] lr: 7.3320e-02 eta: 1 day, 14:31:40 time: 0.5199 data_time: 0.0431 memory: 18108 grad_norm: 3.2238 loss: 4.4240 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5968 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8272 2023/02/01 14:58:19 - mmengine - INFO - Epoch(train) [111][1360/1879] lr: 7.3313e-02 eta: 1 day, 14:31:30 time: 0.5057 data_time: 0.0322 memory: 18108 grad_norm: 3.2011 loss: 4.5301 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7657 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.7644 2023/02/01 14:58:29 - mmengine - INFO - Epoch(train) [111][1380/1879] lr: 7.3306e-02 eta: 1 day, 14:31:20 time: 0.5110 data_time: 0.0350 memory: 18108 grad_norm: 3.1983 loss: 4.3564 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5692 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.7872 2023/02/01 14:58:39 - mmengine - INFO - Epoch(train) [111][1400/1879] lr: 7.3300e-02 eta: 1 day, 14:31:09 time: 0.4954 data_time: 0.0412 memory: 18108 grad_norm: 3.2827 loss: 4.2188 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4299 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.7889 2023/02/01 14:58:49 - mmengine - INFO - Epoch(train) [111][1420/1879] lr: 7.3293e-02 eta: 1 day, 14:30:59 time: 0.5174 data_time: 0.0350 memory: 18108 grad_norm: 3.3093 loss: 4.2776 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4893 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.7882 2023/02/01 14:59:00 - mmengine - INFO - Epoch(train) [111][1440/1879] lr: 7.3286e-02 eta: 1 day, 14:30:49 time: 0.5128 data_time: 0.0316 memory: 18108 grad_norm: 3.3182 loss: 4.2780 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.4944 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7836 2023/02/01 14:59:10 - mmengine - INFO - Epoch(train) [111][1460/1879] lr: 7.3280e-02 eta: 1 day, 14:30:39 time: 0.5034 data_time: 0.0347 memory: 18108 grad_norm: 3.2270 loss: 4.4426 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6637 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7789 2023/02/01 14:59:20 - mmengine - INFO - Epoch(train) [111][1480/1879] lr: 7.3273e-02 eta: 1 day, 14:30:29 time: 0.5016 data_time: 0.0395 memory: 18108 grad_norm: 3.1701 loss: 4.1541 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4290 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.7251 2023/02/01 14:59:30 - mmengine - INFO - Epoch(train) [111][1500/1879] lr: 7.3266e-02 eta: 1 day, 14:30:19 time: 0.5136 data_time: 0.0355 memory: 18108 grad_norm: 3.1918 loss: 4.3027 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5156 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.7871 2023/02/01 14:59:40 - mmengine - INFO - Epoch(train) [111][1520/1879] lr: 7.3260e-02 eta: 1 day, 14:30:08 time: 0.4976 data_time: 0.0323 memory: 18108 grad_norm: 3.2175 loss: 4.3053 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5522 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 1.7531 2023/02/01 14:59:50 - mmengine - INFO - Epoch(train) [111][1540/1879] lr: 7.3253e-02 eta: 1 day, 14:29:58 time: 0.5106 data_time: 0.0361 memory: 18108 grad_norm: 3.1598 loss: 4.1910 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3567 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8343 2023/02/01 15:00:01 - mmengine - INFO - Epoch(train) [111][1560/1879] lr: 7.3246e-02 eta: 1 day, 14:29:48 time: 0.5148 data_time: 0.0367 memory: 18108 grad_norm: 3.2220 loss: 4.2535 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4066 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8468 2023/02/01 15:00:11 - mmengine - INFO - Epoch(train) [111][1580/1879] lr: 7.3240e-02 eta: 1 day, 14:29:38 time: 0.5237 data_time: 0.0381 memory: 18108 grad_norm: 3.2139 loss: 4.1004 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3471 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.7533 2023/02/01 15:00:21 - mmengine - INFO - Epoch(train) [111][1600/1879] lr: 7.3233e-02 eta: 1 day, 14:29:28 time: 0.5081 data_time: 0.0319 memory: 18108 grad_norm: 3.2787 loss: 4.1646 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.3818 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.7828 2023/02/01 15:00:32 - mmengine - INFO - Epoch(train) [111][1620/1879] lr: 7.3226e-02 eta: 1 day, 14:29:18 time: 0.5220 data_time: 0.0427 memory: 18108 grad_norm: 3.2290 loss: 4.1631 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.4327 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7304 2023/02/01 15:00:42 - mmengine - INFO - Epoch(train) [111][1640/1879] lr: 7.3220e-02 eta: 1 day, 14:29:08 time: 0.5178 data_time: 0.0304 memory: 18108 grad_norm: 3.2967 loss: 4.3886 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6163 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7723 2023/02/01 15:00:52 - mmengine - INFO - Epoch(train) [111][1660/1879] lr: 7.3213e-02 eta: 1 day, 14:28:58 time: 0.5073 data_time: 0.0374 memory: 18108 grad_norm: 3.2439 loss: 4.2029 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3372 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.8657 2023/02/01 15:01:03 - mmengine - INFO - Epoch(train) [111][1680/1879] lr: 7.3206e-02 eta: 1 day, 14:28:49 time: 0.5415 data_time: 0.0337 memory: 18108 grad_norm: 3.2912 loss: 4.3520 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6208 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7312 2023/02/01 15:01:14 - mmengine - INFO - Epoch(train) [111][1700/1879] lr: 7.3200e-02 eta: 1 day, 14:28:39 time: 0.5189 data_time: 0.0493 memory: 18108 grad_norm: 3.2569 loss: 4.2802 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4651 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8151 2023/02/01 15:01:24 - mmengine - INFO - Epoch(train) [111][1720/1879] lr: 7.3193e-02 eta: 1 day, 14:28:29 time: 0.5129 data_time: 0.0322 memory: 18108 grad_norm: 3.2282 loss: 4.4157 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5827 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.8330 2023/02/01 15:01:34 - mmengine - INFO - Epoch(train) [111][1740/1879] lr: 7.3186e-02 eta: 1 day, 14:28:19 time: 0.5224 data_time: 0.0358 memory: 18108 grad_norm: 3.2509 loss: 4.1614 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.4118 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.7496 2023/02/01 15:01:45 - mmengine - INFO - Epoch(train) [111][1760/1879] lr: 7.3180e-02 eta: 1 day, 14:28:09 time: 0.5135 data_time: 0.0319 memory: 18108 grad_norm: 3.2332 loss: 4.1031 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.2940 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.8091 2023/02/01 15:01:55 - mmengine - INFO - Epoch(train) [111][1780/1879] lr: 7.3173e-02 eta: 1 day, 14:28:00 time: 0.5349 data_time: 0.0430 memory: 18108 grad_norm: 3.2278 loss: 4.2594 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4099 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.8495 2023/02/01 15:02:05 - mmengine - INFO - Epoch(train) [111][1800/1879] lr: 7.3166e-02 eta: 1 day, 14:27:50 time: 0.5049 data_time: 0.0314 memory: 18108 grad_norm: 3.1570 loss: 4.1141 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3859 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.7282 2023/02/01 15:02:16 - mmengine - INFO - Epoch(train) [111][1820/1879] lr: 7.3160e-02 eta: 1 day, 14:27:40 time: 0.5161 data_time: 0.0362 memory: 18108 grad_norm: 3.2986 loss: 4.1909 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.3734 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.8176 2023/02/01 15:02:26 - mmengine - INFO - Epoch(train) [111][1840/1879] lr: 7.3153e-02 eta: 1 day, 14:27:30 time: 0.5260 data_time: 0.0308 memory: 18108 grad_norm: 3.2617 loss: 4.1318 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.4011 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.7307 2023/02/01 15:02:36 - mmengine - INFO - Epoch(train) [111][1860/1879] lr: 7.3146e-02 eta: 1 day, 14:27:20 time: 0.5103 data_time: 0.0351 memory: 18108 grad_norm: 3.2512 loss: 4.6486 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.8156 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.8330 2023/02/01 15:02:46 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 15:02:46 - mmengine - INFO - Epoch(train) [111][1879/1879] lr: 7.3140e-02 eta: 1 day, 14:27:10 time: 0.4928 data_time: 0.0280 memory: 18108 grad_norm: 3.2357 loss: 4.1759 top1_acc_0: 0.2857 top5_acc_0: 0.5714 loss_cls_0: 2.4176 top1_acc_1: 0.5412 top5_acc_1: 0.6941 loss_cls_1: 1.7583 2023/02/01 15:03:01 - mmengine - INFO - Epoch(train) [112][ 20/1879] lr: 7.3133e-02 eta: 1 day, 14:27:05 time: 0.7085 data_time: 0.2554 memory: 18108 grad_norm: 3.2453 loss: 4.1969 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4230 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7738 2023/02/01 15:03:10 - mmengine - INFO - Epoch(train) [112][ 40/1879] lr: 7.3127e-02 eta: 1 day, 14:26:54 time: 0.4814 data_time: 0.0334 memory: 18108 grad_norm: 3.2911 loss: 4.4631 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.6575 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8056 2023/02/01 15:03:20 - mmengine - INFO - Epoch(train) [112][ 60/1879] lr: 7.3120e-02 eta: 1 day, 14:26:43 time: 0.4917 data_time: 0.0355 memory: 18108 grad_norm: 3.2723 loss: 4.2400 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.4151 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8250 2023/02/01 15:03:31 - mmengine - INFO - Epoch(train) [112][ 80/1879] lr: 7.3113e-02 eta: 1 day, 14:26:34 time: 0.5255 data_time: 0.0389 memory: 18108 grad_norm: 3.2595 loss: 4.2572 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4577 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7995 2023/02/01 15:03:40 - mmengine - INFO - Epoch(train) [112][ 100/1879] lr: 7.3107e-02 eta: 1 day, 14:26:23 time: 0.4843 data_time: 0.0381 memory: 18108 grad_norm: 3.2256 loss: 4.1534 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.4838 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6695 2023/02/01 15:03:50 - mmengine - INFO - Epoch(train) [112][ 120/1879] lr: 7.3100e-02 eta: 1 day, 14:26:12 time: 0.4847 data_time: 0.0314 memory: 18108 grad_norm: 3.2385 loss: 4.0958 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3738 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7220 2023/02/01 15:04:00 - mmengine - INFO - Epoch(train) [112][ 140/1879] lr: 7.3093e-02 eta: 1 day, 14:26:02 time: 0.5098 data_time: 0.0363 memory: 18108 grad_norm: 3.2201 loss: 4.1715 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4160 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.7555 2023/02/01 15:04:10 - mmengine - INFO - Epoch(train) [112][ 160/1879] lr: 7.3087e-02 eta: 1 day, 14:25:52 time: 0.5056 data_time: 0.0388 memory: 18108 grad_norm: 3.2574 loss: 4.2184 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4562 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7622 2023/02/01 15:04:20 - mmengine - INFO - Epoch(train) [112][ 180/1879] lr: 7.3080e-02 eta: 1 day, 14:25:41 time: 0.4853 data_time: 0.0357 memory: 18108 grad_norm: 3.2472 loss: 4.1636 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4726 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.6909 2023/02/01 15:04:30 - mmengine - INFO - Epoch(train) [112][ 200/1879] lr: 7.3073e-02 eta: 1 day, 14:25:31 time: 0.4931 data_time: 0.0319 memory: 18108 grad_norm: 3.2594 loss: 4.1266 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4145 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.7121 2023/02/01 15:04:40 - mmengine - INFO - Epoch(train) [112][ 220/1879] lr: 7.3067e-02 eta: 1 day, 14:25:20 time: 0.5130 data_time: 0.0408 memory: 18108 grad_norm: 3.2786 loss: 4.1396 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4021 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.7375 2023/02/01 15:04:50 - mmengine - INFO - Epoch(train) [112][ 240/1879] lr: 7.3060e-02 eta: 1 day, 14:25:10 time: 0.4872 data_time: 0.0329 memory: 18108 grad_norm: 3.3175 loss: 4.2741 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5816 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.6925 2023/02/01 15:05:00 - mmengine - INFO - Epoch(train) [112][ 260/1879] lr: 7.3053e-02 eta: 1 day, 14:24:59 time: 0.4893 data_time: 0.0353 memory: 18108 grad_norm: 3.2002 loss: 4.2848 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5481 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.7367 2023/02/01 15:05:10 - mmengine - INFO - Epoch(train) [112][ 280/1879] lr: 7.3047e-02 eta: 1 day, 14:24:49 time: 0.5055 data_time: 0.0312 memory: 18108 grad_norm: 3.2674 loss: 4.2122 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4854 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.7268 2023/02/01 15:05:20 - mmengine - INFO - Epoch(train) [112][ 300/1879] lr: 7.3040e-02 eta: 1 day, 14:24:39 time: 0.5101 data_time: 0.0421 memory: 18108 grad_norm: 3.2839 loss: 4.4188 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 2.6717 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.7471 2023/02/01 15:05:30 - mmengine - INFO - Epoch(train) [112][ 320/1879] lr: 7.3033e-02 eta: 1 day, 14:24:28 time: 0.4863 data_time: 0.0331 memory: 18108 grad_norm: 3.2402 loss: 4.1812 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3759 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8054 2023/02/01 15:05:40 - mmengine - INFO - Epoch(train) [112][ 340/1879] lr: 7.3026e-02 eta: 1 day, 14:24:18 time: 0.4942 data_time: 0.0378 memory: 18108 grad_norm: 3.3073 loss: 4.1086 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3541 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.7546 2023/02/01 15:05:50 - mmengine - INFO - Epoch(train) [112][ 360/1879] lr: 7.3020e-02 eta: 1 day, 14:24:07 time: 0.4989 data_time: 0.0315 memory: 18108 grad_norm: 3.2847 loss: 4.2615 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4695 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.7920 2023/02/01 15:06:00 - mmengine - INFO - Epoch(train) [112][ 380/1879] lr: 7.3013e-02 eta: 1 day, 14:23:57 time: 0.5003 data_time: 0.0433 memory: 18108 grad_norm: 3.2089 loss: 4.0235 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3514 top1_acc_1: 0.6824 top5_acc_1: 0.8118 loss_cls_1: 1.6722 2023/02/01 15:06:10 - mmengine - INFO - Epoch(train) [112][ 400/1879] lr: 7.3006e-02 eta: 1 day, 14:23:46 time: 0.4835 data_time: 0.0331 memory: 18108 grad_norm: 3.2784 loss: 4.4862 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6105 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8757 2023/02/01 15:06:20 - mmengine - INFO - Epoch(train) [112][ 420/1879] lr: 7.3000e-02 eta: 1 day, 14:23:36 time: 0.5095 data_time: 0.0361 memory: 18108 grad_norm: 3.1931 loss: 4.2170 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4176 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.7994 2023/02/01 15:06:25 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 15:06:30 - mmengine - INFO - Epoch(train) [112][ 440/1879] lr: 7.2993e-02 eta: 1 day, 14:23:26 time: 0.5021 data_time: 0.0401 memory: 18108 grad_norm: 3.2597 loss: 4.1518 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4492 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.7026 2023/02/01 15:06:40 - mmengine - INFO - Epoch(train) [112][ 460/1879] lr: 7.2986e-02 eta: 1 day, 14:23:15 time: 0.4944 data_time: 0.0358 memory: 18108 grad_norm: 3.2281 loss: 4.1456 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3701 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7755 2023/02/01 15:06:50 - mmengine - INFO - Epoch(train) [112][ 480/1879] lr: 7.2980e-02 eta: 1 day, 14:23:05 time: 0.5160 data_time: 0.0304 memory: 18108 grad_norm: 3.2691 loss: 4.1770 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3600 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.8170 2023/02/01 15:07:00 - mmengine - INFO - Epoch(train) [112][ 500/1879] lr: 7.2973e-02 eta: 1 day, 14:22:55 time: 0.5004 data_time: 0.0364 memory: 18108 grad_norm: 3.2731 loss: 4.2140 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4527 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.7613 2023/02/01 15:07:10 - mmengine - INFO - Epoch(train) [112][ 520/1879] lr: 7.2966e-02 eta: 1 day, 14:22:45 time: 0.5153 data_time: 0.0403 memory: 18108 grad_norm: 3.2598 loss: 4.2783 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5262 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.7521 2023/02/01 15:07:21 - mmengine - INFO - Epoch(train) [112][ 540/1879] lr: 7.2960e-02 eta: 1 day, 14:22:34 time: 0.5046 data_time: 0.0345 memory: 18108 grad_norm: 3.2284 loss: 4.1741 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.4563 top1_acc_1: 0.5176 top5_acc_1: 0.8353 loss_cls_1: 1.7178 2023/02/01 15:07:31 - mmengine - INFO - Epoch(train) [112][ 560/1879] lr: 7.2953e-02 eta: 1 day, 14:22:24 time: 0.5158 data_time: 0.0316 memory: 18108 grad_norm: 3.2654 loss: 4.0406 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3879 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.6528 2023/02/01 15:07:41 - mmengine - INFO - Epoch(train) [112][ 580/1879] lr: 7.2946e-02 eta: 1 day, 14:22:14 time: 0.5011 data_time: 0.0360 memory: 18108 grad_norm: 3.3146 loss: 4.1340 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.3387 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.7953 2023/02/01 15:07:52 - mmengine - INFO - Epoch(train) [112][ 600/1879] lr: 7.2940e-02 eta: 1 day, 14:22:05 time: 0.5393 data_time: 0.0390 memory: 18108 grad_norm: 3.2760 loss: 4.1356 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3655 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.7701 2023/02/01 15:08:02 - mmengine - INFO - Epoch(train) [112][ 620/1879] lr: 7.2933e-02 eta: 1 day, 14:21:55 time: 0.5247 data_time: 0.0333 memory: 18108 grad_norm: 3.2579 loss: 4.3806 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.5522 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.8284 2023/02/01 15:08:12 - mmengine - INFO - Epoch(train) [112][ 640/1879] lr: 7.2926e-02 eta: 1 day, 14:21:45 time: 0.5085 data_time: 0.0332 memory: 18108 grad_norm: 3.3477 loss: 4.3468 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5442 top1_acc_1: 0.6824 top5_acc_1: 0.9412 loss_cls_1: 1.8026 2023/02/01 15:08:23 - mmengine - INFO - Epoch(train) [112][ 660/1879] lr: 7.2919e-02 eta: 1 day, 14:21:35 time: 0.5083 data_time: 0.0421 memory: 18108 grad_norm: 3.4267 loss: 4.2313 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.4883 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.7430 2023/02/01 15:08:33 - mmengine - INFO - Epoch(train) [112][ 680/1879] lr: 7.2913e-02 eta: 1 day, 14:21:25 time: 0.5240 data_time: 0.0317 memory: 18108 grad_norm: 3.2554 loss: 4.1983 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4291 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 1.7692 2023/02/01 15:08:43 - mmengine - INFO - Epoch(train) [112][ 700/1879] lr: 7.2906e-02 eta: 1 day, 14:21:15 time: 0.5077 data_time: 0.0353 memory: 18108 grad_norm: 3.2587 loss: 4.4287 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6969 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7319 2023/02/01 15:08:53 - mmengine - INFO - Epoch(train) [112][ 720/1879] lr: 7.2899e-02 eta: 1 day, 14:21:05 time: 0.5045 data_time: 0.0321 memory: 18108 grad_norm: 3.2904 loss: 4.3647 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5348 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8298 2023/02/01 15:09:04 - mmengine - INFO - Epoch(train) [112][ 740/1879] lr: 7.2893e-02 eta: 1 day, 14:20:55 time: 0.5177 data_time: 0.0374 memory: 18108 grad_norm: 3.3095 loss: 4.5106 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.5950 top1_acc_1: 0.5529 top5_acc_1: 0.6941 loss_cls_1: 1.9156 2023/02/01 15:09:14 - mmengine - INFO - Epoch(train) [112][ 760/1879] lr: 7.2886e-02 eta: 1 day, 14:20:45 time: 0.5228 data_time: 0.0318 memory: 18108 grad_norm: 3.3093 loss: 4.1746 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3642 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.8104 2023/02/01 15:09:25 - mmengine - INFO - Epoch(train) [112][ 780/1879] lr: 7.2879e-02 eta: 1 day, 14:20:35 time: 0.5179 data_time: 0.0327 memory: 18108 grad_norm: 3.2351 loss: 4.3271 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5527 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.7743 2023/02/01 15:09:35 - mmengine - INFO - Epoch(train) [112][ 800/1879] lr: 7.2873e-02 eta: 1 day, 14:20:25 time: 0.5063 data_time: 0.0344 memory: 18108 grad_norm: 3.2431 loss: 4.4369 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6411 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.7959 2023/02/01 15:09:45 - mmengine - INFO - Epoch(train) [112][ 820/1879] lr: 7.2866e-02 eta: 1 day, 14:20:15 time: 0.5270 data_time: 0.0313 memory: 18108 grad_norm: 3.2027 loss: 4.1758 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4912 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.6846 2023/02/01 15:09:55 - mmengine - INFO - Epoch(train) [112][ 840/1879] lr: 7.2859e-02 eta: 1 day, 14:20:05 time: 0.5083 data_time: 0.0328 memory: 18108 grad_norm: 3.3057 loss: 4.3604 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.5804 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7800 2023/02/01 15:10:06 - mmengine - INFO - Epoch(train) [112][ 860/1879] lr: 7.2852e-02 eta: 1 day, 14:19:55 time: 0.5279 data_time: 0.0332 memory: 18108 grad_norm: 3.2726 loss: 3.9751 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2173 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.7577 2023/02/01 15:10:16 - mmengine - INFO - Epoch(train) [112][ 880/1879] lr: 7.2846e-02 eta: 1 day, 14:19:45 time: 0.5162 data_time: 0.0356 memory: 18108 grad_norm: 3.2825 loss: 4.3127 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.5774 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7353 2023/02/01 15:10:27 - mmengine - INFO - Epoch(train) [112][ 900/1879] lr: 7.2839e-02 eta: 1 day, 14:19:36 time: 0.5349 data_time: 0.0309 memory: 18108 grad_norm: 3.2401 loss: 4.5551 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7048 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8503 2023/02/01 15:10:37 - mmengine - INFO - Epoch(train) [112][ 920/1879] lr: 7.2832e-02 eta: 1 day, 14:19:26 time: 0.5184 data_time: 0.0350 memory: 18108 grad_norm: 3.2836 loss: 4.3104 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4974 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.8130 2023/02/01 15:10:48 - mmengine - INFO - Epoch(train) [112][ 940/1879] lr: 7.2826e-02 eta: 1 day, 14:19:16 time: 0.5250 data_time: 0.0311 memory: 18108 grad_norm: 3.2756 loss: 4.1672 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3299 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8374 2023/02/01 15:10:58 - mmengine - INFO - Epoch(train) [112][ 960/1879] lr: 7.2819e-02 eta: 1 day, 14:19:06 time: 0.5184 data_time: 0.0332 memory: 18108 grad_norm: 3.2406 loss: 4.2978 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5209 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.7769 2023/02/01 15:11:09 - mmengine - INFO - Epoch(train) [112][ 980/1879] lr: 7.2812e-02 eta: 1 day, 14:18:57 time: 0.5253 data_time: 0.0339 memory: 18108 grad_norm: 3.2743 loss: 3.9742 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2357 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.7386 2023/02/01 15:11:19 - mmengine - INFO - Epoch(train) [112][1000/1879] lr: 7.2806e-02 eta: 1 day, 14:18:47 time: 0.5146 data_time: 0.0361 memory: 18108 grad_norm: 3.3583 loss: 4.2994 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.5506 top1_acc_1: 0.4353 top5_acc_1: 0.7412 loss_cls_1: 1.7489 2023/02/01 15:11:30 - mmengine - INFO - Epoch(train) [112][1020/1879] lr: 7.2799e-02 eta: 1 day, 14:18:37 time: 0.5178 data_time: 0.0325 memory: 18108 grad_norm: 3.2790 loss: 4.4003 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5926 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.8077 2023/02/01 15:11:40 - mmengine - INFO - Epoch(train) [112][1040/1879] lr: 7.2792e-02 eta: 1 day, 14:18:27 time: 0.5220 data_time: 0.0404 memory: 18108 grad_norm: 3.2517 loss: 4.3341 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5513 top1_acc_1: 0.6000 top5_acc_1: 0.7294 loss_cls_1: 1.7829 2023/02/01 15:11:50 - mmengine - INFO - Epoch(train) [112][1060/1879] lr: 7.2785e-02 eta: 1 day, 14:18:17 time: 0.5139 data_time: 0.0333 memory: 18108 grad_norm: 3.2423 loss: 4.3512 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5556 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.7955 2023/02/01 15:12:00 - mmengine - INFO - Epoch(train) [112][1080/1879] lr: 7.2779e-02 eta: 1 day, 14:18:07 time: 0.5099 data_time: 0.0338 memory: 18108 grad_norm: 3.2734 loss: 4.1434 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3196 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.8238 2023/02/01 15:12:11 - mmengine - INFO - Epoch(train) [112][1100/1879] lr: 7.2772e-02 eta: 1 day, 14:17:57 time: 0.5318 data_time: 0.0424 memory: 18108 grad_norm: 3.2069 loss: 4.2284 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4123 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8161 2023/02/01 15:12:21 - mmengine - INFO - Epoch(train) [112][1120/1879] lr: 7.2765e-02 eta: 1 day, 14:17:47 time: 0.5110 data_time: 0.0333 memory: 18108 grad_norm: 3.1926 loss: 4.3965 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6041 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7924 2023/02/01 15:12:32 - mmengine - INFO - Epoch(train) [112][1140/1879] lr: 7.2759e-02 eta: 1 day, 14:17:37 time: 0.5189 data_time: 0.0336 memory: 18108 grad_norm: 3.2155 loss: 4.0379 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.3171 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.7209 2023/02/01 15:12:42 - mmengine - INFO - Epoch(train) [112][1160/1879] lr: 7.2752e-02 eta: 1 day, 14:17:27 time: 0.5080 data_time: 0.0333 memory: 18108 grad_norm: 3.3025 loss: 4.2004 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3820 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.8185 2023/02/01 15:12:52 - mmengine - INFO - Epoch(train) [112][1180/1879] lr: 7.2745e-02 eta: 1 day, 14:17:17 time: 0.5273 data_time: 0.0416 memory: 18108 grad_norm: 3.2587 loss: 4.3690 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.6632 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.7058 2023/02/01 15:13:03 - mmengine - INFO - Epoch(train) [112][1200/1879] lr: 7.2739e-02 eta: 1 day, 14:17:07 time: 0.5060 data_time: 0.0336 memory: 18108 grad_norm: 3.2576 loss: 4.2760 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.4405 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.8356 2023/02/01 15:13:13 - mmengine - INFO - Epoch(train) [112][1220/1879] lr: 7.2732e-02 eta: 1 day, 14:16:57 time: 0.5206 data_time: 0.0349 memory: 18108 grad_norm: 3.2330 loss: 4.1727 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4157 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.7570 2023/02/01 15:13:24 - mmengine - INFO - Epoch(train) [112][1240/1879] lr: 7.2725e-02 eta: 1 day, 14:16:48 time: 0.5286 data_time: 0.0438 memory: 18108 grad_norm: 3.2894 loss: 4.4156 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6538 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7618 2023/02/01 15:13:34 - mmengine - INFO - Epoch(train) [112][1260/1879] lr: 7.2718e-02 eta: 1 day, 14:16:38 time: 0.5082 data_time: 0.0341 memory: 18108 grad_norm: 3.2144 loss: 4.0435 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2765 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7669 2023/02/01 15:13:44 - mmengine - INFO - Epoch(train) [112][1280/1879] lr: 7.2712e-02 eta: 1 day, 14:16:27 time: 0.5037 data_time: 0.0333 memory: 18108 grad_norm: 3.2622 loss: 4.4969 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6447 top1_acc_1: 0.4706 top5_acc_1: 0.7647 loss_cls_1: 1.8522 2023/02/01 15:13:54 - mmengine - INFO - Epoch(train) [112][1300/1879] lr: 7.2705e-02 eta: 1 day, 14:16:17 time: 0.5081 data_time: 0.0349 memory: 18108 grad_norm: 3.2765 loss: 4.3148 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4762 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8386 2023/02/01 15:14:05 - mmengine - INFO - Epoch(train) [112][1320/1879] lr: 7.2698e-02 eta: 1 day, 14:16:07 time: 0.5236 data_time: 0.0405 memory: 18108 grad_norm: 3.2627 loss: 4.4659 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6336 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.8323 2023/02/01 15:14:15 - mmengine - INFO - Epoch(train) [112][1340/1879] lr: 7.2692e-02 eta: 1 day, 14:15:58 time: 0.5240 data_time: 0.0330 memory: 18108 grad_norm: 3.3524 loss: 4.3165 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4682 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.8483 2023/02/01 15:14:25 - mmengine - INFO - Epoch(train) [112][1360/1879] lr: 7.2685e-02 eta: 1 day, 14:15:47 time: 0.4996 data_time: 0.0350 memory: 18108 grad_norm: 3.2047 loss: 4.3190 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4864 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 1.8326 2023/02/01 15:14:36 - mmengine - INFO - Epoch(train) [112][1380/1879] lr: 7.2678e-02 eta: 1 day, 14:15:38 time: 0.5341 data_time: 0.0395 memory: 18108 grad_norm: 3.3178 loss: 4.3751 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6464 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.7288 2023/02/01 15:14:46 - mmengine - INFO - Epoch(train) [112][1400/1879] lr: 7.2671e-02 eta: 1 day, 14:15:28 time: 0.5214 data_time: 0.0326 memory: 18108 grad_norm: 3.3287 loss: 4.5752 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7596 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8156 2023/02/01 15:14:56 - mmengine - INFO - Epoch(train) [112][1420/1879] lr: 7.2665e-02 eta: 1 day, 14:15:18 time: 0.5075 data_time: 0.0325 memory: 18108 grad_norm: 3.2817 loss: 4.2665 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4251 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8414 2023/02/01 15:15:02 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 15:15:07 - mmengine - INFO - Epoch(train) [112][1440/1879] lr: 7.2658e-02 eta: 1 day, 14:15:08 time: 0.5103 data_time: 0.0412 memory: 18108 grad_norm: 3.2574 loss: 4.3367 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4921 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.8446 2023/02/01 15:15:17 - mmengine - INFO - Epoch(train) [112][1460/1879] lr: 7.2651e-02 eta: 1 day, 14:14:58 time: 0.5325 data_time: 0.0322 memory: 18108 grad_norm: 3.1717 loss: 4.1584 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4461 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.7123 2023/02/01 15:15:27 - mmengine - INFO - Epoch(train) [112][1480/1879] lr: 7.2645e-02 eta: 1 day, 14:14:48 time: 0.5014 data_time: 0.0340 memory: 18108 grad_norm: 3.3052 loss: 4.2372 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4847 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.7526 2023/02/01 15:15:37 - mmengine - INFO - Epoch(train) [112][1500/1879] lr: 7.2638e-02 eta: 1 day, 14:14:38 time: 0.5097 data_time: 0.0355 memory: 18108 grad_norm: 3.2711 loss: 4.2679 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4617 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.8062 2023/02/01 15:15:48 - mmengine - INFO - Epoch(train) [112][1520/1879] lr: 7.2631e-02 eta: 1 day, 14:14:28 time: 0.5155 data_time: 0.0390 memory: 18108 grad_norm: 3.2823 loss: 4.1705 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.4223 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.7482 2023/02/01 15:15:58 - mmengine - INFO - Epoch(train) [112][1540/1879] lr: 7.2624e-02 eta: 1 day, 14:14:18 time: 0.5247 data_time: 0.0330 memory: 18108 grad_norm: 3.3043 loss: 4.4352 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.6468 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7884 2023/02/01 15:16:08 - mmengine - INFO - Epoch(train) [112][1560/1879] lr: 7.2618e-02 eta: 1 day, 14:14:08 time: 0.4997 data_time: 0.0333 memory: 18108 grad_norm: 3.2508 loss: 4.0352 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2792 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.7560 2023/02/01 15:16:19 - mmengine - INFO - Epoch(train) [112][1580/1879] lr: 7.2611e-02 eta: 1 day, 14:13:58 time: 0.5215 data_time: 0.0395 memory: 18108 grad_norm: 3.3825 loss: 4.2819 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4517 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8303 2023/02/01 15:16:29 - mmengine - INFO - Epoch(train) [112][1600/1879] lr: 7.2604e-02 eta: 1 day, 14:13:48 time: 0.5319 data_time: 0.0324 memory: 18108 grad_norm: 3.2842 loss: 4.2350 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4837 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.7514 2023/02/01 15:16:40 - mmengine - INFO - Epoch(train) [112][1620/1879] lr: 7.2598e-02 eta: 1 day, 14:13:39 time: 0.5251 data_time: 0.0340 memory: 18108 grad_norm: 3.2348 loss: 4.3156 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3972 top1_acc_1: 0.6235 top5_acc_1: 0.8941 loss_cls_1: 1.9184 2023/02/01 15:16:50 - mmengine - INFO - Epoch(train) [112][1640/1879] lr: 7.2591e-02 eta: 1 day, 14:13:29 time: 0.5173 data_time: 0.0411 memory: 18108 grad_norm: 3.2786 loss: 4.3548 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5714 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.7834 2023/02/01 15:17:01 - mmengine - INFO - Epoch(train) [112][1660/1879] lr: 7.2584e-02 eta: 1 day, 14:13:19 time: 0.5370 data_time: 0.0335 memory: 18108 grad_norm: 3.2884 loss: 4.2353 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.4543 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.7810 2023/02/01 15:17:12 - mmengine - INFO - Epoch(train) [112][1680/1879] lr: 7.2577e-02 eta: 1 day, 14:13:10 time: 0.5286 data_time: 0.0328 memory: 18108 grad_norm: 3.2831 loss: 4.3793 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5320 top1_acc_1: 0.4588 top5_acc_1: 0.7647 loss_cls_1: 1.8473 2023/02/01 15:17:22 - mmengine - INFO - Epoch(train) [112][1700/1879] lr: 7.2571e-02 eta: 1 day, 14:12:59 time: 0.5111 data_time: 0.0326 memory: 18108 grad_norm: 3.3197 loss: 4.0974 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2898 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8075 2023/02/01 15:17:33 - mmengine - INFO - Epoch(train) [112][1720/1879] lr: 7.2564e-02 eta: 1 day, 14:12:50 time: 0.5354 data_time: 0.0406 memory: 18108 grad_norm: 3.3085 loss: 4.1399 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3216 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8183 2023/02/01 15:17:43 - mmengine - INFO - Epoch(train) [112][1740/1879] lr: 7.2557e-02 eta: 1 day, 14:12:40 time: 0.5239 data_time: 0.0347 memory: 18108 grad_norm: 3.3148 loss: 4.5243 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6861 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.8382 2023/02/01 15:17:53 - mmengine - INFO - Epoch(train) [112][1760/1879] lr: 7.2551e-02 eta: 1 day, 14:12:30 time: 0.5117 data_time: 0.0337 memory: 18108 grad_norm: 3.2972 loss: 4.1977 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3514 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.8463 2023/02/01 15:18:04 - mmengine - INFO - Epoch(train) [112][1780/1879] lr: 7.2544e-02 eta: 1 day, 14:12:21 time: 0.5286 data_time: 0.0418 memory: 18108 grad_norm: 3.1977 loss: 4.5376 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.7260 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8116 2023/02/01 15:18:14 - mmengine - INFO - Epoch(train) [112][1800/1879] lr: 7.2537e-02 eta: 1 day, 14:12:11 time: 0.5256 data_time: 0.0329 memory: 18108 grad_norm: 3.2367 loss: 4.1868 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4767 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.7101 2023/02/01 15:18:25 - mmengine - INFO - Epoch(train) [112][1820/1879] lr: 7.2530e-02 eta: 1 day, 14:12:01 time: 0.5245 data_time: 0.0335 memory: 18108 grad_norm: 3.1556 loss: 4.4334 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.5616 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8718 2023/02/01 15:18:35 - mmengine - INFO - Epoch(train) [112][1840/1879] lr: 7.2524e-02 eta: 1 day, 14:11:51 time: 0.5113 data_time: 0.0396 memory: 18108 grad_norm: 3.2013 loss: 4.2364 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.3888 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.8476 2023/02/01 15:18:46 - mmengine - INFO - Epoch(train) [112][1860/1879] lr: 7.2517e-02 eta: 1 day, 14:11:42 time: 0.5344 data_time: 0.0324 memory: 18108 grad_norm: 3.3117 loss: 4.4430 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 2.6455 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7976 2023/02/01 15:18:55 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 15:18:55 - mmengine - INFO - Epoch(train) [112][1879/1879] lr: 7.2511e-02 eta: 1 day, 14:11:31 time: 0.4839 data_time: 0.0337 memory: 18108 grad_norm: 3.3100 loss: 4.4525 top1_acc_0: 0.4286 top5_acc_0: 0.5714 loss_cls_0: 2.5689 top1_acc_1: 0.4824 top5_acc_1: 0.7176 loss_cls_1: 1.8836 2023/02/01 15:18:56 - mmengine - INFO - Saving checkpoint at 112 epochs 2023/02/01 15:19:06 - mmengine - INFO - Epoch(val) [112][ 20/155] eta: 0:01:01 time: 0.4586 data_time: 0.3436 memory: 1906 2023/02/01 15:19:15 - mmengine - INFO - Epoch(val) [112][ 40/155] eta: 0:00:51 time: 0.4381 data_time: 0.3272 memory: 1906 2023/02/01 15:19:24 - mmengine - INFO - Epoch(val) [112][ 60/155] eta: 0:00:42 time: 0.4329 data_time: 0.3217 memory: 1906 2023/02/01 15:19:33 - mmengine - INFO - Epoch(val) [112][ 80/155] eta: 0:00:33 time: 0.4592 data_time: 0.3479 memory: 1906 2023/02/01 15:19:42 - mmengine - INFO - Epoch(val) [112][100/155] eta: 0:00:24 time: 0.4464 data_time: 0.3352 memory: 1906 2023/02/01 15:19:51 - mmengine - INFO - Epoch(val) [112][120/155] eta: 0:00:15 time: 0.4468 data_time: 0.3365 memory: 1906 2023/02/01 15:19:59 - mmengine - INFO - Epoch(val) [112][140/155] eta: 0:00:06 time: 0.4354 data_time: 0.3230 memory: 1906 2023/02/01 15:20:07 - mmengine - INFO - Epoch(val) [112][155/155] acc/top1: 0.4773 acc/top5: 0.7312 acc/mean1: 0.4771 2023/02/01 15:20:21 - mmengine - INFO - Epoch(train) [113][ 20/1879] lr: 7.2504e-02 eta: 1 day, 14:11:27 time: 0.7190 data_time: 0.2657 memory: 18108 grad_norm: 3.2706 loss: 4.2647 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5647 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.7000 2023/02/01 15:20:31 - mmengine - INFO - Epoch(train) [113][ 40/1879] lr: 7.2497e-02 eta: 1 day, 14:11:15 time: 0.4730 data_time: 0.0336 memory: 18108 grad_norm: 3.2084 loss: 4.1853 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4331 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7522 2023/02/01 15:20:40 - mmengine - INFO - Epoch(train) [113][ 60/1879] lr: 7.2490e-02 eta: 1 day, 14:11:04 time: 0.4728 data_time: 0.0344 memory: 18108 grad_norm: 3.2709 loss: 4.0446 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3024 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.7423 2023/02/01 15:20:51 - mmengine - INFO - Epoch(train) [113][ 80/1879] lr: 7.2484e-02 eta: 1 day, 14:10:55 time: 0.5440 data_time: 0.0416 memory: 18108 grad_norm: 3.3005 loss: 4.3645 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5775 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7870 2023/02/01 15:21:01 - mmengine - INFO - Epoch(train) [113][ 100/1879] lr: 7.2477e-02 eta: 1 day, 14:10:44 time: 0.4783 data_time: 0.0344 memory: 18108 grad_norm: 3.2731 loss: 4.2389 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5025 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.7364 2023/02/01 15:21:10 - mmengine - INFO - Epoch(train) [113][ 120/1879] lr: 7.2470e-02 eta: 1 day, 14:10:33 time: 0.4724 data_time: 0.0330 memory: 18108 grad_norm: 3.3502 loss: 4.1080 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.4401 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.6679 2023/02/01 15:21:20 - mmengine - INFO - Epoch(train) [113][ 140/1879] lr: 7.2463e-02 eta: 1 day, 14:10:23 time: 0.5030 data_time: 0.0400 memory: 18108 grad_norm: 3.3114 loss: 4.0335 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.3404 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.6932 2023/02/01 15:21:30 - mmengine - INFO - Epoch(train) [113][ 160/1879] lr: 7.2457e-02 eta: 1 day, 14:10:12 time: 0.5008 data_time: 0.0311 memory: 18108 grad_norm: 3.2367 loss: 4.1415 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4237 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.7179 2023/02/01 15:21:40 - mmengine - INFO - Epoch(train) [113][ 180/1879] lr: 7.2450e-02 eta: 1 day, 14:10:02 time: 0.4825 data_time: 0.0364 memory: 18108 grad_norm: 3.3019 loss: 4.1925 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4292 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.7632 2023/02/01 15:21:50 - mmengine - INFO - Epoch(train) [113][ 200/1879] lr: 7.2443e-02 eta: 1 day, 14:09:51 time: 0.4802 data_time: 0.0314 memory: 18108 grad_norm: 3.2061 loss: 4.2941 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4906 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.8035 2023/02/01 15:22:00 - mmengine - INFO - Epoch(train) [113][ 220/1879] lr: 7.2437e-02 eta: 1 day, 14:09:41 time: 0.5164 data_time: 0.0394 memory: 18108 grad_norm: 3.2262 loss: 4.2653 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5706 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.6947 2023/02/01 15:22:10 - mmengine - INFO - Epoch(train) [113][ 240/1879] lr: 7.2430e-02 eta: 1 day, 14:09:30 time: 0.4786 data_time: 0.0327 memory: 18108 grad_norm: 3.2479 loss: 4.1587 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.3881 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.7707 2023/02/01 15:22:19 - mmengine - INFO - Epoch(train) [113][ 260/1879] lr: 7.2423e-02 eta: 1 day, 14:09:19 time: 0.4805 data_time: 0.0329 memory: 18108 grad_norm: 3.2942 loss: 4.1282 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3853 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.7429 2023/02/01 15:22:29 - mmengine - INFO - Epoch(train) [113][ 280/1879] lr: 7.2416e-02 eta: 1 day, 14:09:08 time: 0.4720 data_time: 0.0303 memory: 18108 grad_norm: 3.2362 loss: 4.3495 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5033 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.8462 2023/02/01 15:22:39 - mmengine - INFO - Epoch(train) [113][ 300/1879] lr: 7.2410e-02 eta: 1 day, 14:08:58 time: 0.5007 data_time: 0.0397 memory: 18108 grad_norm: 3.2381 loss: 4.0479 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.3118 top1_acc_1: 0.5176 top5_acc_1: 0.8471 loss_cls_1: 1.7361 2023/02/01 15:22:49 - mmengine - INFO - Epoch(train) [113][ 320/1879] lr: 7.2403e-02 eta: 1 day, 14:08:47 time: 0.4944 data_time: 0.0327 memory: 18108 grad_norm: 3.2708 loss: 4.3253 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5892 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.7361 2023/02/01 15:22:58 - mmengine - INFO - Epoch(train) [113][ 340/1879] lr: 7.2396e-02 eta: 1 day, 14:08:36 time: 0.4777 data_time: 0.0358 memory: 18108 grad_norm: 3.2848 loss: 4.2594 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5733 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.6861 2023/02/01 15:23:08 - mmengine - INFO - Epoch(train) [113][ 360/1879] lr: 7.2389e-02 eta: 1 day, 14:08:25 time: 0.4871 data_time: 0.0313 memory: 18108 grad_norm: 3.3054 loss: 4.1000 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3387 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7612 2023/02/01 15:23:18 - mmengine - INFO - Epoch(train) [113][ 380/1879] lr: 7.2383e-02 eta: 1 day, 14:08:15 time: 0.5079 data_time: 0.0332 memory: 18108 grad_norm: 3.2873 loss: 4.2339 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5674 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.6666 2023/02/01 15:23:28 - mmengine - INFO - Epoch(train) [113][ 400/1879] lr: 7.2376e-02 eta: 1 day, 14:08:04 time: 0.4706 data_time: 0.0324 memory: 18108 grad_norm: 3.2205 loss: 4.2051 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.4406 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7645 2023/02/01 15:23:37 - mmengine - INFO - Epoch(train) [113][ 420/1879] lr: 7.2369e-02 eta: 1 day, 14:07:53 time: 0.4824 data_time: 0.0350 memory: 18108 grad_norm: 3.2107 loss: 4.1616 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4913 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.6703 2023/02/01 15:23:47 - mmengine - INFO - Epoch(train) [113][ 440/1879] lr: 7.2362e-02 eta: 1 day, 14:07:43 time: 0.5017 data_time: 0.0362 memory: 18108 grad_norm: 3.2419 loss: 3.8418 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1518 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.6900 2023/02/01 15:23:57 - mmengine - INFO - Epoch(train) [113][ 460/1879] lr: 7.2356e-02 eta: 1 day, 14:07:32 time: 0.4916 data_time: 0.0357 memory: 18108 grad_norm: 3.2473 loss: 4.3692 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6219 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.7473 2023/02/01 15:24:07 - mmengine - INFO - Epoch(train) [113][ 480/1879] lr: 7.2349e-02 eta: 1 day, 14:07:22 time: 0.4873 data_time: 0.0336 memory: 18108 grad_norm: 3.2638 loss: 4.4403 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.7154 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.7249 2023/02/01 15:24:17 - mmengine - INFO - Epoch(train) [113][ 500/1879] lr: 7.2342e-02 eta: 1 day, 14:07:11 time: 0.4985 data_time: 0.0406 memory: 18108 grad_norm: 3.2654 loss: 4.2935 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.5628 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7307 2023/02/01 15:24:27 - mmengine - INFO - Epoch(train) [113][ 520/1879] lr: 7.2336e-02 eta: 1 day, 14:07:01 time: 0.5009 data_time: 0.0308 memory: 18108 grad_norm: 3.2743 loss: 4.2545 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.5707 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 1.6838 2023/02/01 15:24:37 - mmengine - INFO - Epoch(train) [113][ 540/1879] lr: 7.2329e-02 eta: 1 day, 14:06:50 time: 0.4857 data_time: 0.0324 memory: 18108 grad_norm: 3.2554 loss: 4.2357 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.4759 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.7598 2023/02/01 15:24:42 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 15:24:46 - mmengine - INFO - Epoch(train) [113][ 560/1879] lr: 7.2322e-02 eta: 1 day, 14:06:39 time: 0.4871 data_time: 0.0317 memory: 18108 grad_norm: 3.3080 loss: 4.3042 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.4729 top1_acc_1: 0.6000 top5_acc_1: 0.9059 loss_cls_1: 1.8314 2023/02/01 15:24:56 - mmengine - INFO - Epoch(train) [113][ 580/1879] lr: 7.2315e-02 eta: 1 day, 14:06:29 time: 0.5013 data_time: 0.0343 memory: 18108 grad_norm: 3.2332 loss: 4.1940 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4029 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7910 2023/02/01 15:25:07 - mmengine - INFO - Epoch(train) [113][ 600/1879] lr: 7.2309e-02 eta: 1 day, 14:06:19 time: 0.5088 data_time: 0.0304 memory: 18108 grad_norm: 3.3041 loss: 4.3784 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.6728 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7057 2023/02/01 15:25:17 - mmengine - INFO - Epoch(train) [113][ 620/1879] lr: 7.2302e-02 eta: 1 day, 14:06:09 time: 0.4963 data_time: 0.0328 memory: 18108 grad_norm: 3.3078 loss: 4.2898 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 2.5192 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.7706 2023/02/01 15:25:27 - mmengine - INFO - Epoch(train) [113][ 640/1879] lr: 7.2295e-02 eta: 1 day, 14:05:58 time: 0.5004 data_time: 0.0320 memory: 18108 grad_norm: 3.2454 loss: 4.1069 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3344 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.7725 2023/02/01 15:25:37 - mmengine - INFO - Epoch(train) [113][ 660/1879] lr: 7.2288e-02 eta: 1 day, 14:05:48 time: 0.5220 data_time: 0.0346 memory: 18108 grad_norm: 3.2603 loss: 4.1429 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4033 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7396 2023/02/01 15:25:47 - mmengine - INFO - Epoch(train) [113][ 680/1879] lr: 7.2282e-02 eta: 1 day, 14:05:38 time: 0.5089 data_time: 0.0317 memory: 18108 grad_norm: 3.2968 loss: 4.0930 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3474 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.7456 2023/02/01 15:25:57 - mmengine - INFO - Epoch(train) [113][ 700/1879] lr: 7.2275e-02 eta: 1 day, 14:05:28 time: 0.4989 data_time: 0.0342 memory: 18108 grad_norm: 3.2890 loss: 4.1700 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4083 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7616 2023/02/01 15:26:07 - mmengine - INFO - Epoch(train) [113][ 720/1879] lr: 7.2268e-02 eta: 1 day, 14:05:18 time: 0.5104 data_time: 0.0399 memory: 18108 grad_norm: 3.3205 loss: 4.1624 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.3935 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.7689 2023/02/01 15:26:17 - mmengine - INFO - Epoch(train) [113][ 740/1879] lr: 7.2261e-02 eta: 1 day, 14:05:07 time: 0.4998 data_time: 0.0329 memory: 18108 grad_norm: 3.2480 loss: 4.2430 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5447 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.6983 2023/02/01 15:26:27 - mmengine - INFO - Epoch(train) [113][ 760/1879] lr: 7.2255e-02 eta: 1 day, 14:04:57 time: 0.4994 data_time: 0.0314 memory: 18108 grad_norm: 3.2327 loss: 4.1217 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3410 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.7807 2023/02/01 15:26:38 - mmengine - INFO - Epoch(train) [113][ 780/1879] lr: 7.2248e-02 eta: 1 day, 14:04:47 time: 0.5067 data_time: 0.0332 memory: 18108 grad_norm: 3.3035 loss: 4.4678 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.7499 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.7179 2023/02/01 15:26:48 - mmengine - INFO - Epoch(train) [113][ 800/1879] lr: 7.2241e-02 eta: 1 day, 14:04:37 time: 0.5136 data_time: 0.0321 memory: 18108 grad_norm: 3.2621 loss: 4.1147 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3602 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.7545 2023/02/01 15:26:58 - mmengine - INFO - Epoch(train) [113][ 820/1879] lr: 7.2234e-02 eta: 1 day, 14:04:26 time: 0.4883 data_time: 0.0331 memory: 18108 grad_norm: 3.2706 loss: 4.1869 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4103 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7766 2023/02/01 15:27:08 - mmengine - INFO - Epoch(train) [113][ 840/1879] lr: 7.2228e-02 eta: 1 day, 14:04:15 time: 0.4911 data_time: 0.0313 memory: 18108 grad_norm: 3.2352 loss: 3.9428 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3198 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.6230 2023/02/01 15:27:18 - mmengine - INFO - Epoch(train) [113][ 860/1879] lr: 7.2221e-02 eta: 1 day, 14:04:06 time: 0.5171 data_time: 0.0408 memory: 18108 grad_norm: 3.3115 loss: 4.2393 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5831 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.6562 2023/02/01 15:27:28 - mmengine - INFO - Epoch(train) [113][ 880/1879] lr: 7.2214e-02 eta: 1 day, 14:03:55 time: 0.4988 data_time: 0.0314 memory: 18108 grad_norm: 3.3199 loss: 4.2637 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4825 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7812 2023/02/01 15:27:38 - mmengine - INFO - Epoch(train) [113][ 900/1879] lr: 7.2207e-02 eta: 1 day, 14:03:45 time: 0.5068 data_time: 0.0338 memory: 18108 grad_norm: 3.2621 loss: 4.2057 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4804 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.7253 2023/02/01 15:27:48 - mmengine - INFO - Epoch(train) [113][ 920/1879] lr: 7.2201e-02 eta: 1 day, 14:03:35 time: 0.5099 data_time: 0.0321 memory: 18108 grad_norm: 3.2467 loss: 4.4620 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6090 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.8530 2023/02/01 15:29:29 - mmengine - INFO - Epoch(train) [113][ 940/1879] lr: 7.2194e-02 eta: 1 day, 14:05:21 time: 5.0615 data_time: 0.0438 memory: 18108 grad_norm: 3.2563 loss: 4.1462 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4201 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7261 2023/02/01 15:29:39 - mmengine - INFO - Epoch(train) [113][ 960/1879] lr: 7.2187e-02 eta: 1 day, 14:05:10 time: 0.5007 data_time: 0.0279 memory: 18108 grad_norm: 3.3443 loss: 4.3878 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.6436 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7442 2023/02/01 15:29:49 - mmengine - INFO - Epoch(train) [113][ 980/1879] lr: 7.2180e-02 eta: 1 day, 14:05:00 time: 0.4951 data_time: 0.0371 memory: 18108 grad_norm: 3.3149 loss: 4.4605 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5181 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 1.9424 2023/02/01 15:30:00 - mmengine - INFO - Epoch(train) [113][1000/1879] lr: 7.2174e-02 eta: 1 day, 14:04:50 time: 0.5104 data_time: 0.0325 memory: 18108 grad_norm: 3.2648 loss: 4.1788 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3707 top1_acc_1: 0.4588 top5_acc_1: 0.7294 loss_cls_1: 1.8081 2023/02/01 15:30:10 - mmengine - INFO - Epoch(train) [113][1020/1879] lr: 7.2167e-02 eta: 1 day, 14:04:39 time: 0.5005 data_time: 0.0340 memory: 18108 grad_norm: 3.1952 loss: 4.0384 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3192 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7192 2023/02/01 15:30:20 - mmengine - INFO - Epoch(train) [113][1040/1879] lr: 7.2160e-02 eta: 1 day, 14:04:29 time: 0.5028 data_time: 0.0303 memory: 18108 grad_norm: 3.2763 loss: 4.0700 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.3462 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.7238 2023/02/01 15:30:30 - mmengine - INFO - Epoch(train) [113][1060/1879] lr: 7.2153e-02 eta: 1 day, 14:04:19 time: 0.5063 data_time: 0.0433 memory: 18108 grad_norm: 3.2480 loss: 4.4430 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6720 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.7711 2023/02/01 15:30:40 - mmengine - INFO - Epoch(train) [113][1080/1879] lr: 7.2147e-02 eta: 1 day, 14:04:09 time: 0.5123 data_time: 0.0282 memory: 18108 grad_norm: 3.2834 loss: 4.2043 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.3915 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 1.8129 2023/02/01 15:30:50 - mmengine - INFO - Epoch(train) [113][1100/1879] lr: 7.2140e-02 eta: 1 day, 14:03:58 time: 0.4955 data_time: 0.0373 memory: 18108 grad_norm: 3.2713 loss: 4.2781 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.6282 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.6499 2023/02/01 15:31:00 - mmengine - INFO - Epoch(train) [113][1120/1879] lr: 7.2133e-02 eta: 1 day, 14:03:48 time: 0.5025 data_time: 0.0286 memory: 18108 grad_norm: 3.2756 loss: 4.4007 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5844 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8162 2023/02/01 15:31:10 - mmengine - INFO - Epoch(train) [113][1140/1879] lr: 7.2126e-02 eta: 1 day, 14:03:38 time: 0.5140 data_time: 0.0412 memory: 18108 grad_norm: 3.2548 loss: 4.3118 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5049 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.8068 2023/02/01 15:31:21 - mmengine - INFO - Epoch(train) [113][1160/1879] lr: 7.2120e-02 eta: 1 day, 14:03:28 time: 0.5198 data_time: 0.0283 memory: 18108 grad_norm: 3.2623 loss: 4.0522 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2644 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7878 2023/02/01 15:31:31 - mmengine - INFO - Epoch(train) [113][1180/1879] lr: 7.2113e-02 eta: 1 day, 14:03:18 time: 0.5265 data_time: 0.0362 memory: 18108 grad_norm: 3.2740 loss: 4.4266 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7247 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.7019 2023/02/01 15:31:42 - mmengine - INFO - Epoch(train) [113][1200/1879] lr: 7.2106e-02 eta: 1 day, 14:03:09 time: 0.5348 data_time: 0.0289 memory: 18108 grad_norm: 3.2098 loss: 4.1174 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4174 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.6999 2023/02/01 15:31:53 - mmengine - INFO - Epoch(train) [113][1220/1879] lr: 7.2099e-02 eta: 1 day, 14:02:59 time: 0.5263 data_time: 0.0368 memory: 18108 grad_norm: 3.3039 loss: 4.2274 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4887 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.7387 2023/02/01 15:32:03 - mmengine - INFO - Epoch(train) [113][1240/1879] lr: 7.2093e-02 eta: 1 day, 14:02:49 time: 0.5257 data_time: 0.0323 memory: 18108 grad_norm: 3.3230 loss: 4.1164 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2982 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8182 2023/02/01 15:32:14 - mmengine - INFO - Epoch(train) [113][1260/1879] lr: 7.2086e-02 eta: 1 day, 14:02:40 time: 0.5457 data_time: 0.0382 memory: 18108 grad_norm: 3.2862 loss: 4.1785 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.4929 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.6856 2023/02/01 15:32:25 - mmengine - INFO - Epoch(train) [113][1280/1879] lr: 7.2079e-02 eta: 1 day, 14:02:31 time: 0.5319 data_time: 0.0286 memory: 18108 grad_norm: 3.2870 loss: 4.1782 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.3165 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8617 2023/02/01 15:32:35 - mmengine - INFO - Epoch(train) [113][1300/1879] lr: 7.2072e-02 eta: 1 day, 14:02:21 time: 0.5219 data_time: 0.0365 memory: 18108 grad_norm: 3.2307 loss: 4.0711 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2696 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.8014 2023/02/01 15:32:46 - mmengine - INFO - Epoch(train) [113][1320/1879] lr: 7.2066e-02 eta: 1 day, 14:02:11 time: 0.5420 data_time: 0.0353 memory: 18108 grad_norm: 3.2264 loss: 4.1317 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3988 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.7329 2023/02/01 15:32:57 - mmengine - INFO - Epoch(train) [113][1340/1879] lr: 7.2059e-02 eta: 1 day, 14:02:02 time: 0.5396 data_time: 0.0359 memory: 18108 grad_norm: 3.2029 loss: 4.3875 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5861 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.8015 2023/02/01 15:33:08 - mmengine - INFO - Epoch(train) [113][1360/1879] lr: 7.2052e-02 eta: 1 day, 14:01:53 time: 0.5346 data_time: 0.0293 memory: 18108 grad_norm: 3.3068 loss: 4.2257 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3938 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.8319 2023/02/01 15:33:18 - mmengine - INFO - Epoch(train) [113][1380/1879] lr: 7.2045e-02 eta: 1 day, 14:01:43 time: 0.5363 data_time: 0.0378 memory: 18108 grad_norm: 3.2940 loss: 4.4472 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5985 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.8487 2023/02/01 15:33:29 - mmengine - INFO - Epoch(train) [113][1400/1879] lr: 7.2039e-02 eta: 1 day, 14:01:34 time: 0.5350 data_time: 0.0287 memory: 18108 grad_norm: 3.2139 loss: 4.1139 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4075 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.7064 2023/02/01 15:33:39 - mmengine - INFO - Epoch(train) [113][1420/1879] lr: 7.2032e-02 eta: 1 day, 14:01:24 time: 0.5249 data_time: 0.0358 memory: 18108 grad_norm: 3.2857 loss: 4.1333 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3104 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8229 2023/02/01 15:33:50 - mmengine - INFO - Epoch(train) [113][1440/1879] lr: 7.2025e-02 eta: 1 day, 14:01:14 time: 0.5205 data_time: 0.0300 memory: 18108 grad_norm: 3.2867 loss: 4.3867 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5857 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.8010 2023/02/01 15:34:01 - mmengine - INFO - Epoch(train) [113][1460/1879] lr: 7.2018e-02 eta: 1 day, 14:01:05 time: 0.5505 data_time: 0.0442 memory: 18108 grad_norm: 3.3199 loss: 4.3598 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6677 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.6920 2023/02/01 15:34:11 - mmengine - INFO - Epoch(train) [113][1480/1879] lr: 7.2011e-02 eta: 1 day, 14:00:55 time: 0.5134 data_time: 0.0289 memory: 18108 grad_norm: 3.3165 loss: 4.5074 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.6651 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.8424 2023/02/01 15:34:21 - mmengine - INFO - Epoch(train) [113][1500/1879] lr: 7.2005e-02 eta: 1 day, 14:00:45 time: 0.5121 data_time: 0.0378 memory: 18108 grad_norm: 3.2654 loss: 4.4609 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6667 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7942 2023/02/01 15:34:32 - mmengine - INFO - Epoch(train) [113][1520/1879] lr: 7.1998e-02 eta: 1 day, 14:00:35 time: 0.5400 data_time: 0.0373 memory: 18108 grad_norm: 3.2618 loss: 4.3138 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.5943 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.7195 2023/02/01 15:34:42 - mmengine - INFO - Epoch(train) [113][1540/1879] lr: 7.1991e-02 eta: 1 day, 14:00:25 time: 0.5085 data_time: 0.0316 memory: 18108 grad_norm: 3.2448 loss: 4.3916 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.6444 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.7472 2023/02/01 15:34:49 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 15:34:53 - mmengine - INFO - Epoch(train) [113][1560/1879] lr: 7.1984e-02 eta: 1 day, 14:00:15 time: 0.5215 data_time: 0.0319 memory: 18108 grad_norm: 3.2169 loss: 4.2517 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4298 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.8219 2023/02/01 15:35:03 - mmengine - INFO - Epoch(train) [113][1580/1879] lr: 7.1978e-02 eta: 1 day, 14:00:05 time: 0.5107 data_time: 0.0409 memory: 18108 grad_norm: 3.2525 loss: 4.1639 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4158 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.7481 2023/02/01 15:35:14 - mmengine - INFO - Epoch(train) [113][1600/1879] lr: 7.1971e-02 eta: 1 day, 13:59:56 time: 0.5288 data_time: 0.0311 memory: 18108 grad_norm: 3.2182 loss: 4.2351 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5311 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7040 2023/02/01 15:35:24 - mmengine - INFO - Epoch(train) [113][1620/1879] lr: 7.1964e-02 eta: 1 day, 13:59:45 time: 0.5020 data_time: 0.0318 memory: 18108 grad_norm: 3.1877 loss: 3.9609 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2737 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.6872 2023/02/01 15:35:34 - mmengine - INFO - Epoch(train) [113][1640/1879] lr: 7.1957e-02 eta: 1 day, 13:59:35 time: 0.5201 data_time: 0.0411 memory: 18108 grad_norm: 3.2428 loss: 4.4204 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5178 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.9026 2023/02/01 15:35:45 - mmengine - INFO - Epoch(train) [113][1660/1879] lr: 7.1951e-02 eta: 1 day, 13:59:26 time: 0.5344 data_time: 0.0322 memory: 18108 grad_norm: 3.2242 loss: 4.2559 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4226 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.8333 2023/02/01 15:35:55 - mmengine - INFO - Epoch(train) [113][1680/1879] lr: 7.1944e-02 eta: 1 day, 13:59:16 time: 0.5264 data_time: 0.0349 memory: 18108 grad_norm: 3.2264 loss: 4.4408 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6397 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.8011 2023/02/01 15:36:06 - mmengine - INFO - Epoch(train) [113][1700/1879] lr: 7.1937e-02 eta: 1 day, 13:59:06 time: 0.5081 data_time: 0.0318 memory: 18108 grad_norm: 3.3209 loss: 4.5218 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6458 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.8760 2023/02/01 15:36:17 - mmengine - INFO - Epoch(train) [113][1720/1879] lr: 7.1930e-02 eta: 1 day, 13:58:57 time: 0.5436 data_time: 0.0481 memory: 18108 grad_norm: 3.1958 loss: 4.2530 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4387 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.8142 2023/02/01 15:36:27 - mmengine - INFO - Epoch(train) [113][1740/1879] lr: 7.1924e-02 eta: 1 day, 13:58:46 time: 0.5046 data_time: 0.0337 memory: 18108 grad_norm: 3.2674 loss: 4.2875 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.4888 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 1.7987 2023/02/01 15:36:37 - mmengine - INFO - Epoch(train) [113][1760/1879] lr: 7.1917e-02 eta: 1 day, 13:58:37 time: 0.5268 data_time: 0.0328 memory: 18108 grad_norm: 3.2665 loss: 4.3753 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5595 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.8158 2023/02/01 15:36:48 - mmengine - INFO - Epoch(train) [113][1780/1879] lr: 7.1910e-02 eta: 1 day, 13:58:27 time: 0.5190 data_time: 0.0381 memory: 18108 grad_norm: 3.2397 loss: 4.1297 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4213 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.7085 2023/02/01 15:36:58 - mmengine - INFO - Epoch(train) [113][1800/1879] lr: 7.1903e-02 eta: 1 day, 13:58:17 time: 0.5101 data_time: 0.0315 memory: 18108 grad_norm: 3.2703 loss: 4.1313 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4405 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6908 2023/02/01 15:37:08 - mmengine - INFO - Epoch(train) [113][1820/1879] lr: 7.1896e-02 eta: 1 day, 13:58:07 time: 0.5099 data_time: 0.0328 memory: 18108 grad_norm: 3.2439 loss: 4.3365 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4847 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8517 2023/02/01 15:37:18 - mmengine - INFO - Epoch(train) [113][1840/1879] lr: 7.1890e-02 eta: 1 day, 13:57:57 time: 0.5176 data_time: 0.0322 memory: 18108 grad_norm: 3.2274 loss: 4.1659 top1_acc_0: 0.3125 top5_acc_0: 0.8750 loss_cls_0: 2.4771 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6888 2023/02/01 15:37:29 - mmengine - INFO - Epoch(train) [113][1860/1879] lr: 7.1883e-02 eta: 1 day, 13:57:47 time: 0.5174 data_time: 0.0409 memory: 18108 grad_norm: 3.2524 loss: 4.2074 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4549 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.7525 2023/02/01 15:37:38 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 15:37:38 - mmengine - INFO - Epoch(train) [113][1879/1879] lr: 7.1876e-02 eta: 1 day, 13:57:37 time: 0.4881 data_time: 0.0294 memory: 18108 grad_norm: 3.3520 loss: 4.2304 top1_acc_0: 0.5714 top5_acc_0: 0.5714 loss_cls_0: 2.3657 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.8647 2023/02/01 15:37:53 - mmengine - INFO - Epoch(train) [114][ 20/1879] lr: 7.1870e-02 eta: 1 day, 13:57:31 time: 0.7038 data_time: 0.2423 memory: 18108 grad_norm: 3.2451 loss: 4.0921 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3417 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.7505 2023/02/01 15:38:02 - mmengine - INFO - Epoch(train) [114][ 40/1879] lr: 7.1863e-02 eta: 1 day, 13:57:20 time: 0.4745 data_time: 0.0342 memory: 18108 grad_norm: 3.2304 loss: 4.2810 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5637 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7174 2023/02/01 15:38:12 - mmengine - INFO - Epoch(train) [114][ 60/1879] lr: 7.1856e-02 eta: 1 day, 13:57:10 time: 0.4890 data_time: 0.0343 memory: 18108 grad_norm: 3.2531 loss: 4.1209 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3749 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.7459 2023/02/01 15:38:23 - mmengine - INFO - Epoch(train) [114][ 80/1879] lr: 7.1849e-02 eta: 1 day, 13:57:00 time: 0.5201 data_time: 0.0321 memory: 18108 grad_norm: 3.1954 loss: 3.9979 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3150 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.6829 2023/02/01 15:38:32 - mmengine - INFO - Epoch(train) [114][ 100/1879] lr: 7.1843e-02 eta: 1 day, 13:56:49 time: 0.4883 data_time: 0.0371 memory: 18108 grad_norm: 3.2688 loss: 4.2579 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.4803 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.7776 2023/02/01 15:38:42 - mmengine - INFO - Epoch(train) [114][ 120/1879] lr: 7.1836e-02 eta: 1 day, 13:56:38 time: 0.4832 data_time: 0.0349 memory: 18108 grad_norm: 3.3183 loss: 4.5091 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.7628 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.7463 2023/02/01 15:38:52 - mmengine - INFO - Epoch(train) [114][ 140/1879] lr: 7.1829e-02 eta: 1 day, 13:56:28 time: 0.5113 data_time: 0.0424 memory: 18108 grad_norm: 3.2988 loss: 4.1892 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4234 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7658 2023/02/01 15:39:02 - mmengine - INFO - Epoch(train) [114][ 160/1879] lr: 7.1822e-02 eta: 1 day, 13:56:18 time: 0.5027 data_time: 0.0334 memory: 18108 grad_norm: 3.2973 loss: 4.1922 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4402 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.7520 2023/02/01 15:39:12 - mmengine - INFO - Epoch(train) [114][ 180/1879] lr: 7.1816e-02 eta: 1 day, 13:56:07 time: 0.4862 data_time: 0.0349 memory: 18108 grad_norm: 3.2501 loss: 4.2803 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4097 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.8706 2023/02/01 15:39:22 - mmengine - INFO - Epoch(train) [114][ 200/1879] lr: 7.1809e-02 eta: 1 day, 13:55:57 time: 0.5095 data_time: 0.0333 memory: 18108 grad_norm: 3.2146 loss: 4.2443 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4697 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7746 2023/02/01 15:39:32 - mmengine - INFO - Epoch(train) [114][ 220/1879] lr: 7.1802e-02 eta: 1 day, 13:55:47 time: 0.5081 data_time: 0.0338 memory: 18108 grad_norm: 3.2326 loss: 4.0851 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3286 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.7565 2023/02/01 15:39:42 - mmengine - INFO - Epoch(train) [114][ 240/1879] lr: 7.1795e-02 eta: 1 day, 13:55:36 time: 0.4959 data_time: 0.0329 memory: 18108 grad_norm: 3.3007 loss: 4.2157 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5202 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.6955 2023/02/01 15:39:52 - mmengine - INFO - Epoch(train) [114][ 260/1879] lr: 7.1788e-02 eta: 1 day, 13:55:26 time: 0.4962 data_time: 0.0328 memory: 18108 grad_norm: 3.2699 loss: 4.0283 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1824 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.8459 2023/02/01 15:40:03 - mmengine - INFO - Epoch(train) [114][ 280/1879] lr: 7.1782e-02 eta: 1 day, 13:55:15 time: 0.5059 data_time: 0.0396 memory: 18108 grad_norm: 3.2793 loss: 3.9922 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3220 top1_acc_1: 0.4824 top5_acc_1: 0.8000 loss_cls_1: 1.6702 2023/02/01 15:40:13 - mmengine - INFO - Epoch(train) [114][ 300/1879] lr: 7.1775e-02 eta: 1 day, 13:55:05 time: 0.4994 data_time: 0.0331 memory: 18108 grad_norm: 3.2726 loss: 4.4132 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.5935 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.8197 2023/02/01 15:40:23 - mmengine - INFO - Epoch(train) [114][ 320/1879] lr: 7.1768e-02 eta: 1 day, 13:54:55 time: 0.5003 data_time: 0.0339 memory: 18108 grad_norm: 3.2473 loss: 4.1172 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3496 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 1.7676 2023/02/01 15:40:33 - mmengine - INFO - Epoch(train) [114][ 340/1879] lr: 7.1761e-02 eta: 1 day, 13:54:44 time: 0.5066 data_time: 0.0332 memory: 18108 grad_norm: 3.2971 loss: 4.1937 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.4463 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.7475 2023/02/01 15:40:43 - mmengine - INFO - Epoch(train) [114][ 360/1879] lr: 7.1755e-02 eta: 1 day, 13:54:34 time: 0.4949 data_time: 0.0416 memory: 18108 grad_norm: 3.2499 loss: 4.5042 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6741 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 1.8301 2023/02/01 15:40:53 - mmengine - INFO - Epoch(train) [114][ 380/1879] lr: 7.1748e-02 eta: 1 day, 13:54:24 time: 0.5060 data_time: 0.0337 memory: 18108 grad_norm: 3.2552 loss: 4.1949 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 2.4068 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.7881 2023/02/01 15:41:03 - mmengine - INFO - Epoch(train) [114][ 400/1879] lr: 7.1741e-02 eta: 1 day, 13:54:13 time: 0.4952 data_time: 0.0349 memory: 18108 grad_norm: 3.3410 loss: 4.2930 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5526 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.7404 2023/02/01 15:41:13 - mmengine - INFO - Epoch(train) [114][ 420/1879] lr: 7.1734e-02 eta: 1 day, 13:54:03 time: 0.5022 data_time: 0.0403 memory: 18108 grad_norm: 3.1867 loss: 4.4733 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 2.7728 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7005 2023/02/01 15:41:23 - mmengine - INFO - Epoch(train) [114][ 440/1879] lr: 7.1727e-02 eta: 1 day, 13:53:53 time: 0.5068 data_time: 0.0342 memory: 18108 grad_norm: 3.2384 loss: 4.1241 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.3693 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.7549 2023/02/01 15:41:33 - mmengine - INFO - Epoch(train) [114][ 460/1879] lr: 7.1721e-02 eta: 1 day, 13:53:42 time: 0.5001 data_time: 0.0338 memory: 18108 grad_norm: 3.2520 loss: 4.0050 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2986 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.7064 2023/02/01 15:41:43 - mmengine - INFO - Epoch(train) [114][ 480/1879] lr: 7.1714e-02 eta: 1 day, 13:53:32 time: 0.4914 data_time: 0.0325 memory: 18108 grad_norm: 3.2479 loss: 4.0450 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3336 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.7114 2023/02/01 15:41:53 - mmengine - INFO - Epoch(train) [114][ 500/1879] lr: 7.1707e-02 eta: 1 day, 13:53:21 time: 0.4911 data_time: 0.0437 memory: 18108 grad_norm: 3.3775 loss: 4.2610 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4720 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.7891 2023/02/01 15:42:03 - mmengine - INFO - Epoch(train) [114][ 520/1879] lr: 7.1700e-02 eta: 1 day, 13:53:11 time: 0.5164 data_time: 0.0340 memory: 18108 grad_norm: 3.3151 loss: 4.2106 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4240 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.7866 2023/02/01 15:42:13 - mmengine - INFO - Epoch(train) [114][ 540/1879] lr: 7.1693e-02 eta: 1 day, 13:53:01 time: 0.4994 data_time: 0.0351 memory: 18108 grad_norm: 3.3086 loss: 4.2494 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.4223 top1_acc_1: 0.4588 top5_acc_1: 0.7529 loss_cls_1: 1.8271 2023/02/01 15:42:23 - mmengine - INFO - Epoch(train) [114][ 560/1879] lr: 7.1687e-02 eta: 1 day, 13:52:50 time: 0.4914 data_time: 0.0436 memory: 18108 grad_norm: 3.2524 loss: 3.9472 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1369 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.8103 2023/02/01 15:42:33 - mmengine - INFO - Epoch(train) [114][ 580/1879] lr: 7.1680e-02 eta: 1 day, 13:52:40 time: 0.5111 data_time: 0.0366 memory: 18108 grad_norm: 3.3312 loss: 4.2470 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5477 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 1.6993 2023/02/01 15:42:43 - mmengine - INFO - Epoch(train) [114][ 600/1879] lr: 7.1673e-02 eta: 1 day, 13:52:30 time: 0.5128 data_time: 0.0329 memory: 18108 grad_norm: 3.3309 loss: 4.1937 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4015 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7921 2023/02/01 15:42:53 - mmengine - INFO - Epoch(train) [114][ 620/1879] lr: 7.1666e-02 eta: 1 day, 13:52:20 time: 0.5086 data_time: 0.0340 memory: 18108 grad_norm: 3.2711 loss: 4.3433 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5919 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 1.7514 2023/02/01 15:43:04 - mmengine - INFO - Epoch(train) [114][ 640/1879] lr: 7.1660e-02 eta: 1 day, 13:52:09 time: 0.5057 data_time: 0.0426 memory: 18108 grad_norm: 3.2378 loss: 4.3095 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6114 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.6981 2023/02/01 15:43:14 - mmengine - INFO - Epoch(train) [114][ 660/1879] lr: 7.1653e-02 eta: 1 day, 13:52:00 time: 0.5182 data_time: 0.0330 memory: 18108 grad_norm: 3.3105 loss: 3.8702 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.1379 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.7323 2023/02/01 15:43:21 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 15:43:24 - mmengine - INFO - Epoch(train) [114][ 680/1879] lr: 7.1646e-02 eta: 1 day, 13:51:49 time: 0.5079 data_time: 0.0335 memory: 18108 grad_norm: 3.3206 loss: 4.1646 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.4633 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.7013 2023/02/01 15:43:34 - mmengine - INFO - Epoch(train) [114][ 700/1879] lr: 7.1639e-02 eta: 1 day, 13:51:39 time: 0.5168 data_time: 0.0344 memory: 18108 grad_norm: 3.2769 loss: 4.1619 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4100 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.7519 2023/02/01 15:43:45 - mmengine - INFO - Epoch(train) [114][ 720/1879] lr: 7.1632e-02 eta: 1 day, 13:51:30 time: 0.5262 data_time: 0.0342 memory: 18108 grad_norm: 3.2890 loss: 4.3352 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.5272 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.8080 2023/02/01 15:43:55 - mmengine - INFO - Epoch(train) [114][ 740/1879] lr: 7.1626e-02 eta: 1 day, 13:51:20 time: 0.5143 data_time: 0.0340 memory: 18108 grad_norm: 3.2629 loss: 4.3462 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6235 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.7227 2023/02/01 15:44:06 - mmengine - INFO - Epoch(train) [114][ 760/1879] lr: 7.1619e-02 eta: 1 day, 13:51:10 time: 0.5210 data_time: 0.0322 memory: 18108 grad_norm: 3.2996 loss: 4.2812 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4975 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.7837 2023/02/01 15:44:16 - mmengine - INFO - Epoch(train) [114][ 780/1879] lr: 7.1612e-02 eta: 1 day, 13:51:00 time: 0.5285 data_time: 0.0420 memory: 18108 grad_norm: 3.3093 loss: 4.4285 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6741 top1_acc_1: 0.5059 top5_acc_1: 0.6941 loss_cls_1: 1.7543 2023/02/01 15:44:27 - mmengine - INFO - Epoch(train) [114][ 800/1879] lr: 7.1605e-02 eta: 1 day, 13:50:50 time: 0.5174 data_time: 0.0330 memory: 18108 grad_norm: 3.2110 loss: 4.2361 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5099 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.7261 2023/02/01 15:44:37 - mmengine - INFO - Epoch(train) [114][ 820/1879] lr: 7.1598e-02 eta: 1 day, 13:50:40 time: 0.5207 data_time: 0.0338 memory: 18108 grad_norm: 3.2751 loss: 4.3633 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.6140 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7493 2023/02/01 15:44:47 - mmengine - INFO - Epoch(train) [114][ 840/1879] lr: 7.1592e-02 eta: 1 day, 13:50:30 time: 0.5154 data_time: 0.0340 memory: 18108 grad_norm: 3.2971 loss: 4.2620 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.4986 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7634 2023/02/01 15:44:58 - mmengine - INFO - Epoch(train) [114][ 860/1879] lr: 7.1585e-02 eta: 1 day, 13:50:21 time: 0.5241 data_time: 0.0345 memory: 18108 grad_norm: 3.2945 loss: 4.0755 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3773 top1_acc_1: 0.6824 top5_acc_1: 0.7882 loss_cls_1: 1.6982 2023/02/01 15:45:08 - mmengine - INFO - Epoch(train) [114][ 880/1879] lr: 7.1578e-02 eta: 1 day, 13:50:10 time: 0.5053 data_time: 0.0351 memory: 18108 grad_norm: 3.2946 loss: 4.3043 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.5109 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.7934 2023/02/01 15:45:18 - mmengine - INFO - Epoch(train) [114][ 900/1879] lr: 7.1571e-02 eta: 1 day, 13:50:00 time: 0.5200 data_time: 0.0325 memory: 18108 grad_norm: 3.2912 loss: 4.2623 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5166 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.7456 2023/02/01 15:45:29 - mmengine - INFO - Epoch(train) [114][ 920/1879] lr: 7.1564e-02 eta: 1 day, 13:49:51 time: 0.5359 data_time: 0.0330 memory: 18108 grad_norm: 3.2639 loss: 4.0657 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3488 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.7170 2023/02/01 15:45:39 - mmengine - INFO - Epoch(train) [114][ 940/1879] lr: 7.1558e-02 eta: 1 day, 13:49:41 time: 0.5068 data_time: 0.0379 memory: 18108 grad_norm: 3.3521 loss: 4.2617 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.5197 top1_acc_1: 0.4353 top5_acc_1: 0.7529 loss_cls_1: 1.7420 2023/02/01 15:45:50 - mmengine - INFO - Epoch(train) [114][ 960/1879] lr: 7.1551e-02 eta: 1 day, 13:49:31 time: 0.5269 data_time: 0.0320 memory: 18108 grad_norm: 3.2356 loss: 4.1150 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3457 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7692 2023/02/01 15:46:00 - mmengine - INFO - Epoch(train) [114][ 980/1879] lr: 7.1544e-02 eta: 1 day, 13:49:21 time: 0.5295 data_time: 0.0331 memory: 18108 grad_norm: 3.2626 loss: 4.0214 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3254 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.6960 2023/02/01 15:46:11 - mmengine - INFO - Epoch(train) [114][1000/1879] lr: 7.1537e-02 eta: 1 day, 13:49:11 time: 0.5232 data_time: 0.0333 memory: 18108 grad_norm: 3.2155 loss: 4.3478 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6042 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.7436 2023/02/01 15:46:21 - mmengine - INFO - Epoch(train) [114][1020/1879] lr: 7.1530e-02 eta: 1 day, 13:49:02 time: 0.5250 data_time: 0.0345 memory: 18108 grad_norm: 3.2960 loss: 4.2414 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4653 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.7761 2023/02/01 15:46:32 - mmengine - INFO - Epoch(train) [114][1040/1879] lr: 7.1524e-02 eta: 1 day, 13:48:52 time: 0.5222 data_time: 0.0335 memory: 18108 grad_norm: 3.2696 loss: 4.4663 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6893 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.7771 2023/02/01 15:46:42 - mmengine - INFO - Epoch(train) [114][1060/1879] lr: 7.1517e-02 eta: 1 day, 13:48:42 time: 0.5189 data_time: 0.0336 memory: 18108 grad_norm: 3.3069 loss: 4.3571 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6372 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.7199 2023/02/01 15:46:52 - mmengine - INFO - Epoch(train) [114][1080/1879] lr: 7.1510e-02 eta: 1 day, 13:48:32 time: 0.5033 data_time: 0.0345 memory: 18108 grad_norm: 3.2890 loss: 4.1428 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.4376 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.7052 2023/02/01 15:47:03 - mmengine - INFO - Epoch(train) [114][1100/1879] lr: 7.1503e-02 eta: 1 day, 13:48:22 time: 0.5363 data_time: 0.0396 memory: 18108 grad_norm: 3.2733 loss: 4.1626 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.4608 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7018 2023/02/01 15:47:13 - mmengine - INFO - Epoch(train) [114][1120/1879] lr: 7.1496e-02 eta: 1 day, 13:48:12 time: 0.5057 data_time: 0.0334 memory: 18108 grad_norm: 3.3126 loss: 4.3150 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5967 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7184 2023/02/01 15:47:23 - mmengine - INFO - Epoch(train) [114][1140/1879] lr: 7.1490e-02 eta: 1 day, 13:48:02 time: 0.5085 data_time: 0.0340 memory: 18108 grad_norm: 3.2488 loss: 4.4272 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6040 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.8233 2023/02/01 15:47:34 - mmengine - INFO - Epoch(train) [114][1160/1879] lr: 7.1483e-02 eta: 1 day, 13:47:52 time: 0.5207 data_time: 0.0399 memory: 18108 grad_norm: 3.2566 loss: 4.4860 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6689 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.8171 2023/02/01 15:47:44 - mmengine - INFO - Epoch(train) [114][1180/1879] lr: 7.1476e-02 eta: 1 day, 13:47:42 time: 0.5127 data_time: 0.0346 memory: 18108 grad_norm: 3.2400 loss: 4.1688 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4155 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7533 2023/02/01 15:47:54 - mmengine - INFO - Epoch(train) [114][1200/1879] lr: 7.1469e-02 eta: 1 day, 13:47:32 time: 0.5060 data_time: 0.0326 memory: 18108 grad_norm: 3.2765 loss: 4.3068 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5286 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.7782 2023/02/01 15:48:05 - mmengine - INFO - Epoch(train) [114][1220/1879] lr: 7.1462e-02 eta: 1 day, 13:47:22 time: 0.5128 data_time: 0.0333 memory: 18108 grad_norm: 3.3895 loss: 4.3766 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5385 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.8381 2023/02/01 15:48:15 - mmengine - INFO - Epoch(train) [114][1240/1879] lr: 7.1456e-02 eta: 1 day, 13:47:12 time: 0.5200 data_time: 0.0405 memory: 18108 grad_norm: 3.3105 loss: 4.0974 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.2977 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7997 2023/02/01 15:48:25 - mmengine - INFO - Epoch(train) [114][1260/1879] lr: 7.1449e-02 eta: 1 day, 13:47:01 time: 0.4961 data_time: 0.0344 memory: 18108 grad_norm: 3.2902 loss: 4.1568 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.3466 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8102 2023/02/01 15:48:35 - mmengine - INFO - Epoch(train) [114][1280/1879] lr: 7.1442e-02 eta: 1 day, 13:46:51 time: 0.4939 data_time: 0.0338 memory: 18108 grad_norm: 3.2723 loss: 4.2329 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4637 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.7692 2023/02/01 15:48:45 - mmengine - INFO - Epoch(train) [114][1300/1879] lr: 7.1435e-02 eta: 1 day, 13:46:41 time: 0.5275 data_time: 0.0328 memory: 18108 grad_norm: 3.3238 loss: 4.3037 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5209 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.7828 2023/02/01 15:48:56 - mmengine - INFO - Epoch(train) [114][1320/1879] lr: 7.1428e-02 eta: 1 day, 13:46:31 time: 0.5067 data_time: 0.0410 memory: 18108 grad_norm: 3.2752 loss: 4.2496 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4094 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.8402 2023/02/01 15:49:06 - mmengine - INFO - Epoch(train) [114][1340/1879] lr: 7.1422e-02 eta: 1 day, 13:46:20 time: 0.5072 data_time: 0.0330 memory: 18108 grad_norm: 3.2582 loss: 4.1832 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3463 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8369 2023/02/01 15:49:16 - mmengine - INFO - Epoch(train) [114][1360/1879] lr: 7.1415e-02 eta: 1 day, 13:46:10 time: 0.5079 data_time: 0.0325 memory: 18108 grad_norm: 3.2556 loss: 4.2443 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.4236 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.8206 2023/02/01 15:49:26 - mmengine - INFO - Epoch(train) [114][1380/1879] lr: 7.1408e-02 eta: 1 day, 13:46:00 time: 0.5102 data_time: 0.0334 memory: 18108 grad_norm: 3.2681 loss: 4.2311 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4433 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.7879 2023/02/01 15:49:36 - mmengine - INFO - Epoch(train) [114][1400/1879] lr: 7.1401e-02 eta: 1 day, 13:45:50 time: 0.5002 data_time: 0.0395 memory: 18108 grad_norm: 3.3473 loss: 4.1241 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2873 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8369 2023/02/01 15:49:46 - mmengine - INFO - Epoch(train) [114][1420/1879] lr: 7.1394e-02 eta: 1 day, 13:45:40 time: 0.5043 data_time: 0.0326 memory: 18108 grad_norm: 3.2680 loss: 4.3093 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5374 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.7719 2023/02/01 15:49:56 - mmengine - INFO - Epoch(train) [114][1440/1879] lr: 7.1388e-02 eta: 1 day, 13:45:29 time: 0.5131 data_time: 0.0336 memory: 18108 grad_norm: 3.2788 loss: 4.4459 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.6158 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8300 2023/02/01 15:50:06 - mmengine - INFO - Epoch(train) [114][1460/1879] lr: 7.1381e-02 eta: 1 day, 13:45:19 time: 0.4997 data_time: 0.0327 memory: 18108 grad_norm: 3.2098 loss: 4.2816 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5138 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7678 2023/02/01 15:50:17 - mmengine - INFO - Epoch(train) [114][1480/1879] lr: 7.1374e-02 eta: 1 day, 13:45:09 time: 0.5052 data_time: 0.0351 memory: 18108 grad_norm: 3.3233 loss: 4.2851 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.4935 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 1.7916 2023/02/01 15:50:27 - mmengine - INFO - Epoch(train) [114][1500/1879] lr: 7.1367e-02 eta: 1 day, 13:44:59 time: 0.5149 data_time: 0.0337 memory: 18108 grad_norm: 3.2838 loss: 4.2297 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4279 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.8018 2023/02/01 15:50:37 - mmengine - INFO - Epoch(train) [114][1520/1879] lr: 7.1360e-02 eta: 1 day, 13:44:48 time: 0.4997 data_time: 0.0340 memory: 18108 grad_norm: 3.2873 loss: 4.2196 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4950 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.7246 2023/02/01 15:50:47 - mmengine - INFO - Epoch(train) [114][1540/1879] lr: 7.1354e-02 eta: 1 day, 13:44:38 time: 0.5058 data_time: 0.0414 memory: 18108 grad_norm: 3.2513 loss: 4.2880 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5121 top1_acc_1: 0.4706 top5_acc_1: 0.7059 loss_cls_1: 1.7759 2023/02/01 15:50:58 - mmengine - INFO - Epoch(train) [114][1560/1879] lr: 7.1347e-02 eta: 1 day, 13:44:28 time: 0.5281 data_time: 0.0347 memory: 18108 grad_norm: 3.3094 loss: 4.1906 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.4435 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.7471 2023/02/01 15:51:08 - mmengine - INFO - Epoch(train) [114][1580/1879] lr: 7.1340e-02 eta: 1 day, 13:44:18 time: 0.5048 data_time: 0.0349 memory: 18108 grad_norm: 3.2780 loss: 4.3598 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5243 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.8354 2023/02/01 15:51:18 - mmengine - INFO - Epoch(train) [114][1600/1879] lr: 7.1333e-02 eta: 1 day, 13:44:08 time: 0.4978 data_time: 0.0327 memory: 18108 grad_norm: 3.2192 loss: 4.3241 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 2.4966 top1_acc_1: 0.4588 top5_acc_1: 0.7765 loss_cls_1: 1.8275 2023/02/01 15:51:28 - mmengine - INFO - Epoch(train) [114][1620/1879] lr: 7.1326e-02 eta: 1 day, 13:43:58 time: 0.5164 data_time: 0.0409 memory: 18108 grad_norm: 3.3146 loss: 4.2941 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6307 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.6634 2023/02/01 15:51:38 - mmengine - INFO - Epoch(train) [114][1640/1879] lr: 7.1320e-02 eta: 1 day, 13:43:48 time: 0.5113 data_time: 0.0331 memory: 18108 grad_norm: 3.3105 loss: 4.1825 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3683 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.8142 2023/02/01 15:51:48 - mmengine - INFO - Epoch(train) [114][1660/1879] lr: 7.1313e-02 eta: 1 day, 13:43:37 time: 0.4961 data_time: 0.0331 memory: 18108 grad_norm: 3.2778 loss: 4.0813 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.4128 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.6685 2023/02/01 15:51:55 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 15:51:58 - mmengine - INFO - Epoch(train) [114][1680/1879] lr: 7.1306e-02 eta: 1 day, 13:43:27 time: 0.5038 data_time: 0.0417 memory: 18108 grad_norm: 3.2595 loss: 4.2869 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3852 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.9017 2023/02/01 15:52:09 - mmengine - INFO - Epoch(train) [114][1700/1879] lr: 7.1299e-02 eta: 1 day, 13:43:17 time: 0.5284 data_time: 0.0341 memory: 18108 grad_norm: 3.2333 loss: 4.1481 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3397 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.8084 2023/02/01 15:52:19 - mmengine - INFO - Epoch(train) [114][1720/1879] lr: 7.1292e-02 eta: 1 day, 13:43:07 time: 0.5031 data_time: 0.0347 memory: 18108 grad_norm: 3.2595 loss: 4.2832 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5225 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7607 2023/02/01 15:52:29 - mmengine - INFO - Epoch(train) [114][1740/1879] lr: 7.1285e-02 eta: 1 day, 13:42:57 time: 0.5150 data_time: 0.0323 memory: 18108 grad_norm: 3.2688 loss: 4.2832 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.3846 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.8985 2023/02/01 15:52:39 - mmengine - INFO - Epoch(train) [114][1760/1879] lr: 7.1279e-02 eta: 1 day, 13:42:47 time: 0.5041 data_time: 0.0408 memory: 18108 grad_norm: 3.2291 loss: 4.3200 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5462 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7737 2023/02/01 15:52:50 - mmengine - INFO - Epoch(train) [114][1780/1879] lr: 7.1272e-02 eta: 1 day, 13:42:37 time: 0.5116 data_time: 0.0321 memory: 18108 grad_norm: 3.2585 loss: 4.2382 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.4689 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 1.7693 2023/02/01 15:52:59 - mmengine - INFO - Epoch(train) [114][1800/1879] lr: 7.1265e-02 eta: 1 day, 13:42:26 time: 0.4870 data_time: 0.0332 memory: 18108 grad_norm: 3.2331 loss: 4.1544 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3956 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7588 2023/02/01 15:53:10 - mmengine - INFO - Epoch(train) [114][1820/1879] lr: 7.1258e-02 eta: 1 day, 13:42:16 time: 0.5240 data_time: 0.0388 memory: 18108 grad_norm: 3.2734 loss: 4.1774 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3714 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8060 2023/02/01 15:53:20 - mmengine - INFO - Epoch(train) [114][1840/1879] lr: 7.1251e-02 eta: 1 day, 13:42:06 time: 0.5139 data_time: 0.0423 memory: 18108 grad_norm: 3.2281 loss: 4.0126 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2354 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 1.7772 2023/02/01 15:53:30 - mmengine - INFO - Epoch(train) [114][1860/1879] lr: 7.1245e-02 eta: 1 day, 13:41:56 time: 0.4973 data_time: 0.0316 memory: 18108 grad_norm: 3.2401 loss: 4.3710 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4899 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.8812 2023/02/01 15:53:40 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 15:53:40 - mmengine - INFO - Epoch(train) [114][1879/1879] lr: 7.1238e-02 eta: 1 day, 13:41:46 time: 0.4959 data_time: 0.0316 memory: 18108 grad_norm: 3.4041 loss: 4.3922 top1_acc_0: 0.2857 top5_acc_0: 0.4286 loss_cls_0: 2.5994 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.7929 2023/02/01 15:53:54 - mmengine - INFO - Epoch(train) [115][ 20/1879] lr: 7.1231e-02 eta: 1 day, 13:41:40 time: 0.7082 data_time: 0.2580 memory: 18108 grad_norm: 3.2026 loss: 4.2393 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5289 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.7105 2023/02/01 15:54:04 - mmengine - INFO - Epoch(train) [115][ 40/1879] lr: 7.1224e-02 eta: 1 day, 13:41:30 time: 0.4819 data_time: 0.0332 memory: 18108 grad_norm: 3.2093 loss: 4.4280 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6232 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8048 2023/02/01 15:54:14 - mmengine - INFO - Epoch(train) [115][ 60/1879] lr: 7.1218e-02 eta: 1 day, 13:41:19 time: 0.4829 data_time: 0.0369 memory: 18108 grad_norm: 3.2270 loss: 4.0403 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3088 top1_acc_1: 0.6235 top5_acc_1: 0.9059 loss_cls_1: 1.7315 2023/02/01 15:54:24 - mmengine - INFO - Epoch(train) [115][ 80/1879] lr: 7.1211e-02 eta: 1 day, 13:41:09 time: 0.5203 data_time: 0.0274 memory: 18108 grad_norm: 3.2919 loss: 4.1587 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.4386 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.7201 2023/02/01 15:54:34 - mmengine - INFO - Epoch(train) [115][ 100/1879] lr: 7.1204e-02 eta: 1 day, 13:40:58 time: 0.4810 data_time: 0.0384 memory: 18108 grad_norm: 3.2686 loss: 4.1004 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4464 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.6540 2023/02/01 15:54:43 - mmengine - INFO - Epoch(train) [115][ 120/1879] lr: 7.1197e-02 eta: 1 day, 13:40:47 time: 0.4775 data_time: 0.0286 memory: 18108 grad_norm: 3.2602 loss: 4.2466 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4784 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.7682 2023/02/01 15:54:53 - mmengine - INFO - Epoch(train) [115][ 140/1879] lr: 7.1190e-02 eta: 1 day, 13:40:37 time: 0.5067 data_time: 0.0453 memory: 18108 grad_norm: 3.2259 loss: 4.1132 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4395 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.6736 2023/02/01 15:55:03 - mmengine - INFO - Epoch(train) [115][ 160/1879] lr: 7.1184e-02 eta: 1 day, 13:40:26 time: 0.4895 data_time: 0.0322 memory: 18108 grad_norm: 3.2191 loss: 3.9733 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2761 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.6973 2023/02/01 15:55:13 - mmengine - INFO - Epoch(train) [115][ 180/1879] lr: 7.1177e-02 eta: 1 day, 13:40:15 time: 0.4842 data_time: 0.0334 memory: 18108 grad_norm: 3.3689 loss: 4.1246 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3640 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7606 2023/02/01 15:55:22 - mmengine - INFO - Epoch(train) [115][ 200/1879] lr: 7.1170e-02 eta: 1 day, 13:40:04 time: 0.4755 data_time: 0.0326 memory: 18108 grad_norm: 3.3364 loss: 4.2346 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.4196 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.8150 2023/02/01 15:55:33 - mmengine - INFO - Epoch(train) [115][ 220/1879] lr: 7.1163e-02 eta: 1 day, 13:39:54 time: 0.5162 data_time: 0.0344 memory: 18108 grad_norm: 3.2269 loss: 4.2279 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4826 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.7453 2023/02/01 15:55:43 - mmengine - INFO - Epoch(train) [115][ 240/1879] lr: 7.1156e-02 eta: 1 day, 13:39:44 time: 0.4989 data_time: 0.0321 memory: 18108 grad_norm: 3.3169 loss: 4.0128 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3209 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.6919 2023/02/01 15:55:53 - mmengine - INFO - Epoch(train) [115][ 260/1879] lr: 7.1149e-02 eta: 1 day, 13:39:33 time: 0.4894 data_time: 0.0354 memory: 18108 grad_norm: 3.2620 loss: 4.2491 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4652 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.7839 2023/02/01 15:56:03 - mmengine - INFO - Epoch(train) [115][ 280/1879] lr: 7.1143e-02 eta: 1 day, 13:39:23 time: 0.5082 data_time: 0.0391 memory: 18108 grad_norm: 3.2185 loss: 4.3071 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5134 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.7937 2023/02/01 15:56:13 - mmengine - INFO - Epoch(train) [115][ 300/1879] lr: 7.1136e-02 eta: 1 day, 13:39:12 time: 0.4884 data_time: 0.0336 memory: 18108 grad_norm: 3.2952 loss: 4.1473 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.4022 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.7451 2023/02/01 15:56:22 - mmengine - INFO - Epoch(train) [115][ 320/1879] lr: 7.1129e-02 eta: 1 day, 13:39:02 time: 0.4959 data_time: 0.0319 memory: 18108 grad_norm: 3.2515 loss: 4.2861 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.4547 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.8314 2023/02/01 15:56:32 - mmengine - INFO - Epoch(train) [115][ 340/1879] lr: 7.1122e-02 eta: 1 day, 13:38:51 time: 0.4920 data_time: 0.0337 memory: 18108 grad_norm: 3.2800 loss: 4.5167 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.7607 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.7561 2023/02/01 15:56:43 - mmengine - INFO - Epoch(train) [115][ 360/1879] lr: 7.1115e-02 eta: 1 day, 13:38:41 time: 0.5116 data_time: 0.0324 memory: 18108 grad_norm: 3.3112 loss: 4.0778 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3487 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7291 2023/02/01 15:56:52 - mmengine - INFO - Epoch(train) [115][ 380/1879] lr: 7.1108e-02 eta: 1 day, 13:38:31 time: 0.4955 data_time: 0.0358 memory: 18108 grad_norm: 3.3161 loss: 4.2914 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.5880 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.7034 2023/02/01 15:57:02 - mmengine - INFO - Epoch(train) [115][ 400/1879] lr: 7.1102e-02 eta: 1 day, 13:38:20 time: 0.4927 data_time: 0.0333 memory: 18108 grad_norm: 3.2609 loss: 4.0626 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3494 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.7132 2023/02/01 15:57:12 - mmengine - INFO - Epoch(train) [115][ 420/1879] lr: 7.1095e-02 eta: 1 day, 13:38:10 time: 0.5035 data_time: 0.0327 memory: 18108 grad_norm: 3.2509 loss: 4.0832 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3762 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7070 2023/02/01 15:57:22 - mmengine - INFO - Epoch(train) [115][ 440/1879] lr: 7.1088e-02 eta: 1 day, 13:37:59 time: 0.4975 data_time: 0.0379 memory: 18108 grad_norm: 3.2211 loss: 4.3728 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5836 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7892 2023/02/01 15:57:32 - mmengine - INFO - Epoch(train) [115][ 460/1879] lr: 7.1081e-02 eta: 1 day, 13:37:49 time: 0.4987 data_time: 0.0339 memory: 18108 grad_norm: 3.2850 loss: 3.9369 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2259 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7111 2023/02/01 15:57:42 - mmengine - INFO - Epoch(train) [115][ 480/1879] lr: 7.1074e-02 eta: 1 day, 13:37:38 time: 0.4853 data_time: 0.0297 memory: 18108 grad_norm: 3.3198 loss: 4.2049 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 2.4518 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.7531 2023/02/01 15:57:52 - mmengine - INFO - Epoch(train) [115][ 500/1879] lr: 7.1067e-02 eta: 1 day, 13:37:28 time: 0.5147 data_time: 0.0438 memory: 18108 grad_norm: 3.3086 loss: 4.0276 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2266 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.8011 2023/02/01 15:58:02 - mmengine - INFO - Epoch(train) [115][ 520/1879] lr: 7.1061e-02 eta: 1 day, 13:37:17 time: 0.4796 data_time: 0.0294 memory: 18108 grad_norm: 3.2501 loss: 4.1808 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.4435 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7373 2023/02/01 15:58:12 - mmengine - INFO - Epoch(train) [115][ 540/1879] lr: 7.1054e-02 eta: 1 day, 13:37:07 time: 0.4914 data_time: 0.0395 memory: 18108 grad_norm: 3.2103 loss: 4.1378 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.4129 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7248 2023/02/01 15:58:22 - mmengine - INFO - Epoch(train) [115][ 560/1879] lr: 7.1047e-02 eta: 1 day, 13:36:56 time: 0.4948 data_time: 0.0298 memory: 18108 grad_norm: 3.3523 loss: 4.6259 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.8080 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.8179 2023/02/01 15:58:32 - mmengine - INFO - Epoch(train) [115][ 580/1879] lr: 7.1040e-02 eta: 1 day, 13:36:46 time: 0.5006 data_time: 0.0427 memory: 18108 grad_norm: 3.2727 loss: 4.2062 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4579 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7483 2023/02/01 15:58:41 - mmengine - INFO - Epoch(train) [115][ 600/1879] lr: 7.1033e-02 eta: 1 day, 13:36:35 time: 0.4812 data_time: 0.0311 memory: 18108 grad_norm: 3.2513 loss: 3.9947 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3101 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6845 2023/02/01 15:58:52 - mmengine - INFO - Epoch(train) [115][ 620/1879] lr: 7.1026e-02 eta: 1 day, 13:36:25 time: 0.5058 data_time: 0.0384 memory: 18108 grad_norm: 3.2915 loss: 4.3912 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5256 top1_acc_1: 0.5882 top5_acc_1: 0.7176 loss_cls_1: 1.8656 2023/02/01 15:59:02 - mmengine - INFO - Epoch(train) [115][ 640/1879] lr: 7.1020e-02 eta: 1 day, 13:36:15 time: 0.5114 data_time: 0.0302 memory: 18108 grad_norm: 3.2706 loss: 4.2974 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5622 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.7352 2023/02/01 15:59:12 - mmengine - INFO - Epoch(train) [115][ 660/1879] lr: 7.1013e-02 eta: 1 day, 13:36:04 time: 0.4982 data_time: 0.0435 memory: 18108 grad_norm: 3.2510 loss: 4.4425 top1_acc_0: 0.1875 top5_acc_0: 0.7500 loss_cls_0: 2.7541 top1_acc_1: 0.4824 top5_acc_1: 0.7882 loss_cls_1: 1.6884 2023/02/01 15:59:21 - mmengine - INFO - Epoch(train) [115][ 680/1879] lr: 7.1006e-02 eta: 1 day, 13:35:54 time: 0.4839 data_time: 0.0317 memory: 18108 grad_norm: 3.2372 loss: 4.1201 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.4106 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.7095 2023/02/01 15:59:32 - mmengine - INFO - Epoch(train) [115][ 700/1879] lr: 7.0999e-02 eta: 1 day, 13:35:43 time: 0.5053 data_time: 0.0381 memory: 18108 grad_norm: 3.2802 loss: 4.1299 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3473 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.7826 2023/02/01 15:59:42 - mmengine - INFO - Epoch(train) [115][ 720/1879] lr: 7.0992e-02 eta: 1 day, 13:35:33 time: 0.5021 data_time: 0.0311 memory: 18108 grad_norm: 3.3190 loss: 4.3317 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.5904 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.7413 2023/02/01 15:59:52 - mmengine - INFO - Epoch(train) [115][ 740/1879] lr: 7.0985e-02 eta: 1 day, 13:35:22 time: 0.4943 data_time: 0.0452 memory: 18108 grad_norm: 3.2729 loss: 4.1652 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3704 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7948 2023/02/01 16:00:02 - mmengine - INFO - Epoch(train) [115][ 760/1879] lr: 7.0979e-02 eta: 1 day, 13:35:12 time: 0.5005 data_time: 0.0296 memory: 18108 grad_norm: 3.2773 loss: 4.2480 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4712 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.7768 2023/02/01 16:00:12 - mmengine - INFO - Epoch(train) [115][ 780/1879] lr: 7.0972e-02 eta: 1 day, 13:35:02 time: 0.5049 data_time: 0.0356 memory: 18108 grad_norm: 3.2541 loss: 4.3424 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6694 top1_acc_1: 0.5647 top5_acc_1: 0.8941 loss_cls_1: 1.6730 2023/02/01 16:00:19 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 16:00:22 - mmengine - INFO - Epoch(train) [115][ 800/1879] lr: 7.0965e-02 eta: 1 day, 13:34:51 time: 0.4953 data_time: 0.0384 memory: 18108 grad_norm: 3.2977 loss: 4.0644 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3901 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.6743 2023/02/01 16:00:31 - mmengine - INFO - Epoch(train) [115][ 820/1879] lr: 7.0958e-02 eta: 1 day, 13:34:40 time: 0.4834 data_time: 0.0358 memory: 18108 grad_norm: 3.3092 loss: 4.1703 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.4310 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7392 2023/02/01 16:00:41 - mmengine - INFO - Epoch(train) [115][ 840/1879] lr: 7.0951e-02 eta: 1 day, 13:34:30 time: 0.5024 data_time: 0.0319 memory: 18108 grad_norm: 3.2888 loss: 4.1005 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.4105 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.6900 2023/02/01 16:00:52 - mmengine - INFO - Epoch(train) [115][ 860/1879] lr: 7.0944e-02 eta: 1 day, 13:34:20 time: 0.5168 data_time: 0.0420 memory: 18108 grad_norm: 3.2845 loss: 4.1890 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4300 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.7590 2023/02/01 16:01:01 - mmengine - INFO - Epoch(train) [115][ 880/1879] lr: 7.0938e-02 eta: 1 day, 13:34:09 time: 0.4847 data_time: 0.0322 memory: 18108 grad_norm: 3.3353 loss: 4.2447 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.5132 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7315 2023/02/01 16:01:11 - mmengine - INFO - Epoch(train) [115][ 900/1879] lr: 7.0931e-02 eta: 1 day, 13:33:59 time: 0.4903 data_time: 0.0360 memory: 18108 grad_norm: 3.2884 loss: 4.5026 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.7054 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.7972 2023/02/01 16:01:21 - mmengine - INFO - Epoch(train) [115][ 920/1879] lr: 7.0924e-02 eta: 1 day, 13:33:49 time: 0.5058 data_time: 0.0308 memory: 18108 grad_norm: 3.2617 loss: 4.2777 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5048 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7729 2023/02/01 16:01:32 - mmengine - INFO - Epoch(train) [115][ 940/1879] lr: 7.0917e-02 eta: 1 day, 13:33:38 time: 0.5093 data_time: 0.0451 memory: 18108 grad_norm: 3.2612 loss: 4.2446 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5296 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.7149 2023/02/01 16:01:41 - mmengine - INFO - Epoch(train) [115][ 960/1879] lr: 7.0910e-02 eta: 1 day, 13:33:28 time: 0.4865 data_time: 0.0315 memory: 18108 grad_norm: 3.2764 loss: 4.1973 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4750 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.7223 2023/02/01 16:01:51 - mmengine - INFO - Epoch(train) [115][ 980/1879] lr: 7.0903e-02 eta: 1 day, 13:33:17 time: 0.4949 data_time: 0.0347 memory: 18108 grad_norm: 3.2820 loss: 4.0424 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2454 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.7970 2023/02/01 16:02:01 - mmengine - INFO - Epoch(train) [115][1000/1879] lr: 7.0897e-02 eta: 1 day, 13:33:07 time: 0.5089 data_time: 0.0310 memory: 18108 grad_norm: 3.3803 loss: 4.3736 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6209 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.7527 2023/02/01 16:02:12 - mmengine - INFO - Epoch(train) [115][1020/1879] lr: 7.0890e-02 eta: 1 day, 13:32:57 time: 0.5060 data_time: 0.0439 memory: 18108 grad_norm: 3.2510 loss: 4.0695 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2483 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8212 2023/02/01 16:02:21 - mmengine - INFO - Epoch(train) [115][1040/1879] lr: 7.0883e-02 eta: 1 day, 13:32:46 time: 0.4904 data_time: 0.0321 memory: 18108 grad_norm: 3.2099 loss: 4.1828 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.4657 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7171 2023/02/01 16:02:32 - mmengine - INFO - Epoch(train) [115][1060/1879] lr: 7.0876e-02 eta: 1 day, 13:32:36 time: 0.5077 data_time: 0.0350 memory: 18108 grad_norm: 3.3102 loss: 4.2258 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4639 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.7620 2023/02/01 16:02:41 - mmengine - INFO - Epoch(train) [115][1080/1879] lr: 7.0869e-02 eta: 1 day, 13:32:25 time: 0.4917 data_time: 0.0301 memory: 18108 grad_norm: 3.3098 loss: 4.1812 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4546 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.7266 2023/02/01 16:02:51 - mmengine - INFO - Epoch(train) [115][1100/1879] lr: 7.0862e-02 eta: 1 day, 13:32:15 time: 0.5063 data_time: 0.0412 memory: 18108 grad_norm: 3.3431 loss: 4.3842 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6582 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.7260 2023/02/01 16:03:01 - mmengine - INFO - Epoch(train) [115][1120/1879] lr: 7.0856e-02 eta: 1 day, 13:32:05 time: 0.4899 data_time: 0.0331 memory: 18108 grad_norm: 3.2273 loss: 4.0507 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.3547 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6959 2023/02/01 16:03:11 - mmengine - INFO - Epoch(train) [115][1140/1879] lr: 7.0849e-02 eta: 1 day, 13:31:54 time: 0.5069 data_time: 0.0339 memory: 18108 grad_norm: 3.2699 loss: 4.2428 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5015 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.7413 2023/02/01 16:03:21 - mmengine - INFO - Epoch(train) [115][1160/1879] lr: 7.0842e-02 eta: 1 day, 13:31:44 time: 0.4916 data_time: 0.0327 memory: 18108 grad_norm: 3.2375 loss: 4.2605 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.4684 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7920 2023/02/01 16:03:31 - mmengine - INFO - Epoch(train) [115][1180/1879] lr: 7.0835e-02 eta: 1 day, 13:31:33 time: 0.4999 data_time: 0.0353 memory: 18108 grad_norm: 3.2675 loss: 4.3504 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5360 top1_acc_1: 0.4471 top5_acc_1: 0.7176 loss_cls_1: 1.8144 2023/02/01 16:03:42 - mmengine - INFO - Epoch(train) [115][1200/1879] lr: 7.0828e-02 eta: 1 day, 13:31:23 time: 0.5101 data_time: 0.0349 memory: 18108 grad_norm: 3.3300 loss: 4.2400 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4363 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.8037 2023/02/01 16:03:51 - mmengine - INFO - Epoch(train) [115][1220/1879] lr: 7.0821e-02 eta: 1 day, 13:31:13 time: 0.4967 data_time: 0.0317 memory: 18108 grad_norm: 3.2281 loss: 4.3285 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5477 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.7809 2023/02/01 16:04:02 - mmengine - INFO - Epoch(train) [115][1240/1879] lr: 7.0814e-02 eta: 1 day, 13:31:02 time: 0.5035 data_time: 0.0433 memory: 18108 grad_norm: 3.2626 loss: 4.2927 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.4646 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 1.8280 2023/02/01 16:04:11 - mmengine - INFO - Epoch(train) [115][1260/1879] lr: 7.0808e-02 eta: 1 day, 13:30:52 time: 0.4914 data_time: 0.0298 memory: 18108 grad_norm: 3.3070 loss: 4.3750 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4966 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8784 2023/02/01 16:04:21 - mmengine - INFO - Epoch(train) [115][1280/1879] lr: 7.0801e-02 eta: 1 day, 13:30:41 time: 0.5009 data_time: 0.0367 memory: 18108 grad_norm: 3.2263 loss: 4.2004 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4474 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7530 2023/02/01 16:04:31 - mmengine - INFO - Epoch(train) [115][1300/1879] lr: 7.0794e-02 eta: 1 day, 13:30:31 time: 0.4923 data_time: 0.0371 memory: 18108 grad_norm: 3.2476 loss: 4.1871 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4305 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7566 2023/02/01 16:04:41 - mmengine - INFO - Epoch(train) [115][1320/1879] lr: 7.0787e-02 eta: 1 day, 13:30:20 time: 0.4902 data_time: 0.0356 memory: 18108 grad_norm: 3.1986 loss: 4.2379 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4704 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.7676 2023/02/01 16:04:51 - mmengine - INFO - Epoch(train) [115][1340/1879] lr: 7.0780e-02 eta: 1 day, 13:30:10 time: 0.4965 data_time: 0.0300 memory: 18108 grad_norm: 3.2652 loss: 4.1688 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4088 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7600 2023/02/01 16:05:01 - mmengine - INFO - Epoch(train) [115][1360/1879] lr: 7.0773e-02 eta: 1 day, 13:30:00 time: 0.5104 data_time: 0.0443 memory: 18108 grad_norm: 3.2517 loss: 4.0502 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.2674 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.7828 2023/02/01 16:05:11 - mmengine - INFO - Epoch(train) [115][1380/1879] lr: 7.0766e-02 eta: 1 day, 13:29:49 time: 0.4962 data_time: 0.0295 memory: 18108 grad_norm: 3.3183 loss: 4.0232 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2750 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.7482 2023/02/01 16:05:21 - mmengine - INFO - Epoch(train) [115][1400/1879] lr: 7.0760e-02 eta: 1 day, 13:29:39 time: 0.4907 data_time: 0.0385 memory: 18108 grad_norm: 3.2826 loss: 4.2316 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5330 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6985 2023/02/01 16:05:31 - mmengine - INFO - Epoch(train) [115][1420/1879] lr: 7.0753e-02 eta: 1 day, 13:29:28 time: 0.4920 data_time: 0.0323 memory: 18108 grad_norm: 3.2123 loss: 4.1290 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.3213 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.8077 2023/02/01 16:05:41 - mmengine - INFO - Epoch(train) [115][1440/1879] lr: 7.0746e-02 eta: 1 day, 13:29:18 time: 0.4976 data_time: 0.0439 memory: 18108 grad_norm: 3.2602 loss: 4.2296 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4456 top1_acc_1: 0.5882 top5_acc_1: 0.9059 loss_cls_1: 1.7840 2023/02/01 16:05:51 - mmengine - INFO - Epoch(train) [115][1460/1879] lr: 7.0739e-02 eta: 1 day, 13:29:07 time: 0.4980 data_time: 0.0311 memory: 18108 grad_norm: 3.2924 loss: 4.2081 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.4948 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.7133 2023/02/01 16:06:01 - mmengine - INFO - Epoch(train) [115][1480/1879] lr: 7.0732e-02 eta: 1 day, 13:28:57 time: 0.4929 data_time: 0.0362 memory: 18108 grad_norm: 3.2826 loss: 4.4271 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5944 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8327 2023/02/01 16:06:11 - mmengine - INFO - Epoch(train) [115][1500/1879] lr: 7.0725e-02 eta: 1 day, 13:28:46 time: 0.4968 data_time: 0.0381 memory: 18108 grad_norm: 3.2327 loss: 4.1911 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3046 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8865 2023/02/01 16:06:21 - mmengine - INFO - Epoch(train) [115][1520/1879] lr: 7.0719e-02 eta: 1 day, 13:28:36 time: 0.4974 data_time: 0.0386 memory: 18108 grad_norm: 3.3464 loss: 4.3153 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4658 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.8495 2023/02/01 16:06:31 - mmengine - INFO - Epoch(train) [115][1540/1879] lr: 7.0712e-02 eta: 1 day, 13:28:25 time: 0.4950 data_time: 0.0322 memory: 18108 grad_norm: 3.2107 loss: 3.9392 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.2433 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.6959 2023/02/01 16:06:41 - mmengine - INFO - Epoch(train) [115][1560/1879] lr: 7.0705e-02 eta: 1 day, 13:28:15 time: 0.4970 data_time: 0.0437 memory: 18108 grad_norm: 3.2582 loss: 4.3369 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5437 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.7932 2023/02/01 16:06:50 - mmengine - INFO - Epoch(train) [115][1580/1879] lr: 7.0698e-02 eta: 1 day, 13:28:04 time: 0.4974 data_time: 0.0309 memory: 18108 grad_norm: 3.3131 loss: 4.2353 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4253 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.8100 2023/02/01 16:07:01 - mmengine - INFO - Epoch(train) [115][1600/1879] lr: 7.0691e-02 eta: 1 day, 13:27:54 time: 0.5046 data_time: 0.0369 memory: 18108 grad_norm: 3.3037 loss: 4.4802 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6931 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.7871 2023/02/01 16:07:10 - mmengine - INFO - Epoch(train) [115][1620/1879] lr: 7.0684e-02 eta: 1 day, 13:27:43 time: 0.4897 data_time: 0.0297 memory: 18108 grad_norm: 3.3118 loss: 4.1598 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4645 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.6952 2023/02/01 16:07:20 - mmengine - INFO - Epoch(train) [115][1640/1879] lr: 7.0677e-02 eta: 1 day, 13:27:33 time: 0.5037 data_time: 0.0442 memory: 18108 grad_norm: 3.2726 loss: 4.2204 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3949 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8255 2023/02/01 16:07:30 - mmengine - INFO - Epoch(train) [115][1660/1879] lr: 7.0671e-02 eta: 1 day, 13:27:23 time: 0.5005 data_time: 0.0328 memory: 18108 grad_norm: 3.2679 loss: 4.1903 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3768 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.8135 2023/02/01 16:07:40 - mmengine - INFO - Epoch(train) [115][1680/1879] lr: 7.0664e-02 eta: 1 day, 13:27:12 time: 0.4957 data_time: 0.0373 memory: 18108 grad_norm: 3.2699 loss: 4.0706 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3064 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7642 2023/02/01 16:07:50 - mmengine - INFO - Epoch(train) [115][1700/1879] lr: 7.0657e-02 eta: 1 day, 13:27:02 time: 0.4942 data_time: 0.0436 memory: 18108 grad_norm: 3.2872 loss: 4.4032 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7104 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.6928 2023/02/01 16:08:00 - mmengine - INFO - Epoch(train) [115][1720/1879] lr: 7.0650e-02 eta: 1 day, 13:26:52 time: 0.5076 data_time: 0.0360 memory: 18108 grad_norm: 3.3079 loss: 4.0211 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.2132 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.8080 2023/02/01 16:08:11 - mmengine - INFO - Epoch(train) [115][1740/1879] lr: 7.0643e-02 eta: 1 day, 13:26:41 time: 0.5109 data_time: 0.0297 memory: 18108 grad_norm: 3.2998 loss: 4.2868 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5361 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.7507 2023/02/01 16:08:21 - mmengine - INFO - Epoch(train) [115][1760/1879] lr: 7.0636e-02 eta: 1 day, 13:26:31 time: 0.4990 data_time: 0.0431 memory: 18108 grad_norm: 3.2889 loss: 4.0102 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2637 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.7465 2023/02/01 16:08:31 - mmengine - INFO - Epoch(train) [115][1780/1879] lr: 7.0629e-02 eta: 1 day, 13:26:21 time: 0.5005 data_time: 0.0299 memory: 18108 grad_norm: 3.3188 loss: 4.2046 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.4585 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.7460 2023/02/01 16:08:38 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 16:08:41 - mmengine - INFO - Epoch(train) [115][1800/1879] lr: 7.0623e-02 eta: 1 day, 13:26:11 time: 0.5123 data_time: 0.0362 memory: 18108 grad_norm: 3.2977 loss: 4.0485 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2936 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 1.7548 2023/02/01 16:08:51 - mmengine - INFO - Epoch(train) [115][1820/1879] lr: 7.0616e-02 eta: 1 day, 13:26:00 time: 0.4893 data_time: 0.0291 memory: 18108 grad_norm: 3.2830 loss: 4.3534 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5295 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.8239 2023/02/01 16:09:01 - mmengine - INFO - Epoch(train) [115][1840/1879] lr: 7.0609e-02 eta: 1 day, 13:25:49 time: 0.4952 data_time: 0.0444 memory: 18108 grad_norm: 3.2652 loss: 4.4332 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5465 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8867 2023/02/01 16:09:11 - mmengine - INFO - Epoch(train) [115][1860/1879] lr: 7.0602e-02 eta: 1 day, 13:25:39 time: 0.5039 data_time: 0.0310 memory: 18108 grad_norm: 3.2580 loss: 4.1710 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3508 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8202 2023/02/01 16:09:20 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 16:09:20 - mmengine - INFO - Epoch(train) [115][1879/1879] lr: 7.0595e-02 eta: 1 day, 13:25:29 time: 0.4857 data_time: 0.0369 memory: 18108 grad_norm: 3.3962 loss: 4.5304 top1_acc_0: 0.5714 top5_acc_0: 0.7143 loss_cls_0: 2.7175 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.8129 2023/02/01 16:09:35 - mmengine - INFO - Epoch(train) [116][ 20/1879] lr: 7.0589e-02 eta: 1 day, 13:25:24 time: 0.7001 data_time: 0.2528 memory: 18108 grad_norm: 3.2672 loss: 4.4464 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.7179 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.7285 2023/02/01 16:09:44 - mmengine - INFO - Epoch(train) [116][ 40/1879] lr: 7.0582e-02 eta: 1 day, 13:25:12 time: 0.4722 data_time: 0.0346 memory: 18108 grad_norm: 3.2341 loss: 4.3998 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.6743 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.7255 2023/02/01 16:09:54 - mmengine - INFO - Epoch(train) [116][ 60/1879] lr: 7.0575e-02 eta: 1 day, 13:25:02 time: 0.4829 data_time: 0.0354 memory: 18108 grad_norm: 3.2233 loss: 3.9521 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2522 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6999 2023/02/01 16:10:05 - mmengine - INFO - Epoch(train) [116][ 80/1879] lr: 7.0568e-02 eta: 1 day, 13:24:52 time: 0.5360 data_time: 0.0419 memory: 18108 grad_norm: 3.2989 loss: 3.9909 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.2580 top1_acc_1: 0.4706 top5_acc_1: 0.7882 loss_cls_1: 1.7329 2023/02/01 16:10:14 - mmengine - INFO - Epoch(train) [116][ 100/1879] lr: 7.0561e-02 eta: 1 day, 13:24:41 time: 0.4848 data_time: 0.0356 memory: 18108 grad_norm: 3.3229 loss: 4.0757 top1_acc_0: 0.0625 top5_acc_0: 0.4375 loss_cls_0: 2.2656 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.8101 2023/02/01 16:10:24 - mmengine - INFO - Epoch(train) [116][ 120/1879] lr: 7.0554e-02 eta: 1 day, 13:24:31 time: 0.4829 data_time: 0.0328 memory: 18108 grad_norm: 3.2446 loss: 4.0743 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4006 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.6737 2023/02/01 16:10:34 - mmengine - INFO - Epoch(train) [116][ 140/1879] lr: 7.0547e-02 eta: 1 day, 13:24:20 time: 0.5009 data_time: 0.0346 memory: 18108 grad_norm: 3.3292 loss: 4.3513 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.5817 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.7696 2023/02/01 16:10:44 - mmengine - INFO - Epoch(train) [116][ 160/1879] lr: 7.0540e-02 eta: 1 day, 13:24:10 time: 0.5073 data_time: 0.0409 memory: 18108 grad_norm: 3.2628 loss: 4.2477 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5221 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.7256 2023/02/01 16:10:54 - mmengine - INFO - Epoch(train) [116][ 180/1879] lr: 7.0534e-02 eta: 1 day, 13:23:59 time: 0.4876 data_time: 0.0373 memory: 18108 grad_norm: 3.2220 loss: 4.3129 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5448 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.7681 2023/02/01 16:11:04 - mmengine - INFO - Epoch(train) [116][ 200/1879] lr: 7.0527e-02 eta: 1 day, 13:23:49 time: 0.4890 data_time: 0.0332 memory: 18108 grad_norm: 3.3119 loss: 4.3642 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5794 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.7848 2023/02/01 16:11:14 - mmengine - INFO - Epoch(train) [116][ 220/1879] lr: 7.0520e-02 eta: 1 day, 13:23:38 time: 0.4980 data_time: 0.0353 memory: 18108 grad_norm: 3.2607 loss: 4.0425 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3680 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6745 2023/02/01 16:11:24 - mmengine - INFO - Epoch(train) [116][ 240/1879] lr: 7.0513e-02 eta: 1 day, 13:23:28 time: 0.5063 data_time: 0.0331 memory: 18108 grad_norm: 3.2672 loss: 3.9653 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2554 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.7099 2023/02/01 16:11:34 - mmengine - INFO - Epoch(train) [116][ 260/1879] lr: 7.0506e-02 eta: 1 day, 13:23:17 time: 0.4897 data_time: 0.0364 memory: 18108 grad_norm: 3.3557 loss: 4.1158 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4308 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.6850 2023/02/01 16:11:44 - mmengine - INFO - Epoch(train) [116][ 280/1879] lr: 7.0499e-02 eta: 1 day, 13:23:07 time: 0.4911 data_time: 0.0361 memory: 18108 grad_norm: 3.2611 loss: 3.9884 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2553 top1_acc_1: 0.5176 top5_acc_1: 0.8353 loss_cls_1: 1.7331 2023/02/01 16:11:54 - mmengine - INFO - Epoch(train) [116][ 300/1879] lr: 7.0492e-02 eta: 1 day, 13:22:56 time: 0.4998 data_time: 0.0351 memory: 18108 grad_norm: 3.2974 loss: 3.7377 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9541 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.7836 2023/02/01 16:12:04 - mmengine - INFO - Epoch(train) [116][ 320/1879] lr: 7.0486e-02 eta: 1 day, 13:22:47 time: 0.5203 data_time: 0.0467 memory: 18108 grad_norm: 3.3063 loss: 4.2753 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4590 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.8163 2023/02/01 16:12:14 - mmengine - INFO - Epoch(train) [116][ 340/1879] lr: 7.0479e-02 eta: 1 day, 13:22:36 time: 0.4990 data_time: 0.0336 memory: 18108 grad_norm: 3.3048 loss: 4.1884 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.4168 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.7716 2023/02/01 16:12:24 - mmengine - INFO - Epoch(train) [116][ 360/1879] lr: 7.0472e-02 eta: 1 day, 13:22:26 time: 0.5067 data_time: 0.0357 memory: 18108 grad_norm: 3.2521 loss: 4.0458 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2831 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7627 2023/02/01 16:12:34 - mmengine - INFO - Epoch(train) [116][ 380/1879] lr: 7.0465e-02 eta: 1 day, 13:22:16 time: 0.5073 data_time: 0.0320 memory: 18108 grad_norm: 3.3560 loss: 4.1234 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4537 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.6697 2023/02/01 16:12:45 - mmengine - INFO - Epoch(train) [116][ 400/1879] lr: 7.0458e-02 eta: 1 day, 13:22:06 time: 0.5126 data_time: 0.0364 memory: 18108 grad_norm: 3.3803 loss: 4.3122 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5396 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7726 2023/02/01 16:12:55 - mmengine - INFO - Epoch(train) [116][ 420/1879] lr: 7.0451e-02 eta: 1 day, 13:21:56 time: 0.5114 data_time: 0.0310 memory: 18108 grad_norm: 3.2462 loss: 4.1874 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4065 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7808 2023/02/01 16:13:05 - mmengine - INFO - Epoch(train) [116][ 440/1879] lr: 7.0444e-02 eta: 1 day, 13:21:45 time: 0.5066 data_time: 0.0461 memory: 18108 grad_norm: 3.2457 loss: 4.1085 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4496 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.6590 2023/02/01 16:13:15 - mmengine - INFO - Epoch(train) [116][ 460/1879] lr: 7.0437e-02 eta: 1 day, 13:21:35 time: 0.5048 data_time: 0.0287 memory: 18108 grad_norm: 3.2836 loss: 4.2568 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3947 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.8621 2023/02/01 16:13:25 - mmengine - INFO - Epoch(train) [116][ 480/1879] lr: 7.0431e-02 eta: 1 day, 13:21:25 time: 0.5106 data_time: 0.0386 memory: 18108 grad_norm: 3.3089 loss: 4.3565 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6188 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.7377 2023/02/01 16:13:35 - mmengine - INFO - Epoch(train) [116][ 500/1879] lr: 7.0424e-02 eta: 1 day, 13:21:15 time: 0.5021 data_time: 0.0319 memory: 18108 grad_norm: 3.2805 loss: 4.1324 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3912 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7412 2023/02/01 16:13:45 - mmengine - INFO - Epoch(train) [116][ 520/1879] lr: 7.0417e-02 eta: 1 day, 13:21:04 time: 0.4989 data_time: 0.0448 memory: 18108 grad_norm: 3.2892 loss: 4.1423 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3672 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.7751 2023/02/01 16:13:56 - mmengine - INFO - Epoch(train) [116][ 540/1879] lr: 7.0410e-02 eta: 1 day, 13:20:54 time: 0.5050 data_time: 0.0304 memory: 18108 grad_norm: 3.3816 loss: 4.4889 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5982 top1_acc_1: 0.4941 top5_acc_1: 0.7176 loss_cls_1: 1.8908 2023/02/01 16:14:06 - mmengine - INFO - Epoch(train) [116][ 560/1879] lr: 7.0403e-02 eta: 1 day, 13:20:44 time: 0.5061 data_time: 0.0377 memory: 18108 grad_norm: 3.3557 loss: 4.3125 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4840 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.8286 2023/02/01 16:14:16 - mmengine - INFO - Epoch(train) [116][ 580/1879] lr: 7.0396e-02 eta: 1 day, 13:20:34 time: 0.5055 data_time: 0.0375 memory: 18108 grad_norm: 3.2128 loss: 4.3182 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4870 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8312 2023/02/01 16:14:26 - mmengine - INFO - Epoch(train) [116][ 600/1879] lr: 7.0389e-02 eta: 1 day, 13:20:23 time: 0.5050 data_time: 0.0342 memory: 18108 grad_norm: 3.2400 loss: 4.1101 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3727 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.7374 2023/02/01 16:14:36 - mmengine - INFO - Epoch(train) [116][ 620/1879] lr: 7.0382e-02 eta: 1 day, 13:20:13 time: 0.5100 data_time: 0.0318 memory: 18108 grad_norm: 3.2689 loss: 4.1648 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3937 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.7711 2023/02/01 16:14:46 - mmengine - INFO - Epoch(train) [116][ 640/1879] lr: 7.0376e-02 eta: 1 day, 13:20:03 time: 0.5147 data_time: 0.0343 memory: 18108 grad_norm: 3.2470 loss: 4.3403 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5937 top1_acc_1: 0.6118 top5_acc_1: 0.8941 loss_cls_1: 1.7466 2023/02/01 16:14:56 - mmengine - INFO - Epoch(train) [116][ 660/1879] lr: 7.0369e-02 eta: 1 day, 13:19:53 time: 0.4939 data_time: 0.0327 memory: 18108 grad_norm: 3.2731 loss: 4.0604 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3409 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7196 2023/02/01 16:15:07 - mmengine - INFO - Epoch(train) [116][ 680/1879] lr: 7.0362e-02 eta: 1 day, 13:19:42 time: 0.5105 data_time: 0.0347 memory: 18108 grad_norm: 3.2644 loss: 3.9609 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2457 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7152 2023/02/01 16:15:17 - mmengine - INFO - Epoch(train) [116][ 700/1879] lr: 7.0355e-02 eta: 1 day, 13:19:32 time: 0.5136 data_time: 0.0330 memory: 18108 grad_norm: 3.3332 loss: 4.2789 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.4757 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.8032 2023/02/01 16:15:27 - mmengine - INFO - Epoch(train) [116][ 720/1879] lr: 7.0348e-02 eta: 1 day, 13:19:22 time: 0.5102 data_time: 0.0353 memory: 18108 grad_norm: 3.3394 loss: 4.3020 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.6292 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.6728 2023/02/01 16:15:37 - mmengine - INFO - Epoch(train) [116][ 740/1879] lr: 7.0341e-02 eta: 1 day, 13:19:12 time: 0.5122 data_time: 0.0319 memory: 18108 grad_norm: 3.2903 loss: 3.9955 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2746 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.7209 2023/02/01 16:15:48 - mmengine - INFO - Epoch(train) [116][ 760/1879] lr: 7.0334e-02 eta: 1 day, 13:19:02 time: 0.5189 data_time: 0.0362 memory: 18108 grad_norm: 3.3118 loss: 4.2224 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4413 top1_acc_1: 0.4824 top5_acc_1: 0.8000 loss_cls_1: 1.7811 2023/02/01 16:15:58 - mmengine - INFO - Epoch(train) [116][ 780/1879] lr: 7.0327e-02 eta: 1 day, 13:18:52 time: 0.5161 data_time: 0.0394 memory: 18108 grad_norm: 3.3237 loss: 4.2539 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4976 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.7563 2023/02/01 16:16:08 - mmengine - INFO - Epoch(train) [116][ 800/1879] lr: 7.0321e-02 eta: 1 day, 13:18:42 time: 0.5185 data_time: 0.0356 memory: 18108 grad_norm: 3.1974 loss: 4.3552 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6896 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6656 2023/02/01 16:16:19 - mmengine - INFO - Epoch(train) [116][ 820/1879] lr: 7.0314e-02 eta: 1 day, 13:18:32 time: 0.5163 data_time: 0.0320 memory: 18108 grad_norm: 3.3294 loss: 4.3352 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5862 top1_acc_1: 0.6706 top5_acc_1: 0.9294 loss_cls_1: 1.7490 2023/02/01 16:16:29 - mmengine - INFO - Epoch(train) [116][ 840/1879] lr: 7.0307e-02 eta: 1 day, 13:18:23 time: 0.5231 data_time: 0.0419 memory: 18108 grad_norm: 3.3232 loss: 4.3301 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5937 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.7364 2023/02/01 16:16:39 - mmengine - INFO - Epoch(train) [116][ 860/1879] lr: 7.0300e-02 eta: 1 day, 13:18:12 time: 0.5028 data_time: 0.0314 memory: 18108 grad_norm: 3.3079 loss: 4.2471 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4718 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.7753 2023/02/01 16:16:50 - mmengine - INFO - Epoch(train) [116][ 880/1879] lr: 7.0293e-02 eta: 1 day, 13:18:02 time: 0.5203 data_time: 0.0349 memory: 18108 grad_norm: 3.2429 loss: 4.0994 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3906 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.7089 2023/02/01 16:17:00 - mmengine - INFO - Epoch(train) [116][ 900/1879] lr: 7.0286e-02 eta: 1 day, 13:17:52 time: 0.5076 data_time: 0.0312 memory: 18108 grad_norm: 3.3218 loss: 4.1579 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4319 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7259 2023/02/01 16:17:08 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 16:17:10 - mmengine - INFO - Epoch(train) [116][ 920/1879] lr: 7.0279e-02 eta: 1 day, 13:17:42 time: 0.5169 data_time: 0.0407 memory: 18108 grad_norm: 3.2979 loss: 4.1104 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.3751 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.7353 2023/02/01 16:17:20 - mmengine - INFO - Epoch(train) [116][ 940/1879] lr: 7.0272e-02 eta: 1 day, 13:17:32 time: 0.5122 data_time: 0.0320 memory: 18108 grad_norm: 3.3170 loss: 4.2679 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5153 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7526 2023/02/01 16:17:31 - mmengine - INFO - Epoch(train) [116][ 960/1879] lr: 7.0265e-02 eta: 1 day, 13:17:22 time: 0.5183 data_time: 0.0355 memory: 18108 grad_norm: 3.3154 loss: 4.3483 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5826 top1_acc_1: 0.4588 top5_acc_1: 0.7412 loss_cls_1: 1.7657 2023/02/01 16:17:41 - mmengine - INFO - Epoch(train) [116][ 980/1879] lr: 7.0259e-02 eta: 1 day, 13:17:12 time: 0.5240 data_time: 0.0370 memory: 18108 grad_norm: 3.2493 loss: 4.1909 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4070 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7839 2023/02/01 16:17:52 - mmengine - INFO - Epoch(train) [116][1000/1879] lr: 7.0252e-02 eta: 1 day, 13:17:03 time: 0.5256 data_time: 0.0366 memory: 18108 grad_norm: 3.2931 loss: 4.4008 top1_acc_0: 0.1875 top5_acc_0: 0.3125 loss_cls_0: 2.6851 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.7157 2023/02/01 16:18:02 - mmengine - INFO - Epoch(train) [116][1020/1879] lr: 7.0245e-02 eta: 1 day, 13:16:53 time: 0.5134 data_time: 0.0317 memory: 18108 grad_norm: 3.2835 loss: 4.3323 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5361 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.7962 2023/02/01 16:18:13 - mmengine - INFO - Epoch(train) [116][1040/1879] lr: 7.0238e-02 eta: 1 day, 13:16:43 time: 0.5245 data_time: 0.0330 memory: 18108 grad_norm: 3.2793 loss: 4.2422 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4550 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7872 2023/02/01 16:18:23 - mmengine - INFO - Epoch(train) [116][1060/1879] lr: 7.0231e-02 eta: 1 day, 13:16:33 time: 0.5218 data_time: 0.0394 memory: 18108 grad_norm: 3.3296 loss: 4.1436 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3792 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.7644 2023/02/01 16:18:34 - mmengine - INFO - Epoch(train) [116][1080/1879] lr: 7.0224e-02 eta: 1 day, 13:16:23 time: 0.5251 data_time: 0.0346 memory: 18108 grad_norm: 3.2790 loss: 4.0934 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3386 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.7548 2023/02/01 16:18:44 - mmengine - INFO - Epoch(train) [116][1100/1879] lr: 7.0217e-02 eta: 1 day, 13:16:13 time: 0.5184 data_time: 0.0322 memory: 18108 grad_norm: 3.3501 loss: 4.0428 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2819 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.7609 2023/02/01 16:18:55 - mmengine - INFO - Epoch(train) [116][1120/1879] lr: 7.0210e-02 eta: 1 day, 13:16:04 time: 0.5303 data_time: 0.0416 memory: 18108 grad_norm: 3.3569 loss: 4.2313 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5158 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.7156 2023/02/01 16:19:05 - mmengine - INFO - Epoch(train) [116][1140/1879] lr: 7.0203e-02 eta: 1 day, 13:15:54 time: 0.5321 data_time: 0.0302 memory: 18108 grad_norm: 3.2449 loss: 4.4358 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5882 top1_acc_1: 0.5412 top5_acc_1: 0.8588 loss_cls_1: 1.8477 2023/02/01 16:19:16 - mmengine - INFO - Epoch(train) [116][1160/1879] lr: 7.0197e-02 eta: 1 day, 13:15:44 time: 0.5218 data_time: 0.0338 memory: 18108 grad_norm: 3.3269 loss: 4.0652 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3370 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7282 2023/02/01 16:19:26 - mmengine - INFO - Epoch(train) [116][1180/1879] lr: 7.0190e-02 eta: 1 day, 13:15:34 time: 0.5261 data_time: 0.0374 memory: 18108 grad_norm: 3.2673 loss: 4.2956 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4918 top1_acc_1: 0.4824 top5_acc_1: 0.8353 loss_cls_1: 1.8038 2023/02/01 16:19:37 - mmengine - INFO - Epoch(train) [116][1200/1879] lr: 7.0183e-02 eta: 1 day, 13:15:25 time: 0.5227 data_time: 0.0355 memory: 18108 grad_norm: 3.3616 loss: 4.0329 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3453 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.6876 2023/02/01 16:19:47 - mmengine - INFO - Epoch(train) [116][1220/1879] lr: 7.0176e-02 eta: 1 day, 13:15:15 time: 0.5204 data_time: 0.0341 memory: 18108 grad_norm: 3.2024 loss: 3.8818 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0944 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.7874 2023/02/01 16:19:57 - mmengine - INFO - Epoch(train) [116][1240/1879] lr: 7.0169e-02 eta: 1 day, 13:15:05 time: 0.5133 data_time: 0.0335 memory: 18108 grad_norm: 3.2939 loss: 4.0629 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3888 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.6741 2023/02/01 16:20:08 - mmengine - INFO - Epoch(train) [116][1260/1879] lr: 7.0162e-02 eta: 1 day, 13:14:55 time: 0.5193 data_time: 0.0308 memory: 18108 grad_norm: 3.3449 loss: 4.0706 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3204 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.7502 2023/02/01 16:20:18 - mmengine - INFO - Epoch(train) [116][1280/1879] lr: 7.0155e-02 eta: 1 day, 13:14:45 time: 0.5178 data_time: 0.0332 memory: 18108 grad_norm: 3.3439 loss: 4.3826 top1_acc_0: 0.1250 top5_acc_0: 0.6875 loss_cls_0: 2.5735 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8092 2023/02/01 16:20:29 - mmengine - INFO - Epoch(train) [116][1300/1879] lr: 7.0148e-02 eta: 1 day, 13:14:35 time: 0.5270 data_time: 0.0319 memory: 18108 grad_norm: 3.2495 loss: 4.2962 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5214 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 1.7748 2023/02/01 16:20:39 - mmengine - INFO - Epoch(train) [116][1320/1879] lr: 7.0141e-02 eta: 1 day, 13:14:25 time: 0.5284 data_time: 0.0416 memory: 18108 grad_norm: 3.3037 loss: 4.2976 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 2.5010 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.7966 2023/02/01 16:20:50 - mmengine - INFO - Epoch(train) [116][1340/1879] lr: 7.0135e-02 eta: 1 day, 13:14:16 time: 0.5319 data_time: 0.0305 memory: 18108 grad_norm: 3.3616 loss: 4.3318 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5103 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8214 2023/02/01 16:21:01 - mmengine - INFO - Epoch(train) [116][1360/1879] lr: 7.0128e-02 eta: 1 day, 13:14:06 time: 0.5243 data_time: 0.0366 memory: 18108 grad_norm: 3.3172 loss: 4.3119 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5334 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7785 2023/02/01 16:21:11 - mmengine - INFO - Epoch(train) [116][1380/1879] lr: 7.0121e-02 eta: 1 day, 13:13:56 time: 0.5169 data_time: 0.0352 memory: 18108 grad_norm: 3.2814 loss: 4.0705 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3725 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.6980 2023/02/01 16:21:22 - mmengine - INFO - Epoch(train) [116][1400/1879] lr: 7.0114e-02 eta: 1 day, 13:13:46 time: 0.5328 data_time: 0.0354 memory: 18108 grad_norm: 3.3187 loss: 4.2535 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4417 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.8118 2023/02/01 16:21:32 - mmengine - INFO - Epoch(train) [116][1420/1879] lr: 7.0107e-02 eta: 1 day, 13:13:37 time: 0.5202 data_time: 0.0318 memory: 18108 grad_norm: 3.2422 loss: 4.0710 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2070 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.8639 2023/02/01 16:21:42 - mmengine - INFO - Epoch(train) [116][1440/1879] lr: 7.0100e-02 eta: 1 day, 13:13:27 time: 0.5234 data_time: 0.0350 memory: 18108 grad_norm: 3.2303 loss: 4.1720 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3583 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8137 2023/02/01 16:21:53 - mmengine - INFO - Epoch(train) [116][1460/1879] lr: 7.0093e-02 eta: 1 day, 13:13:17 time: 0.5235 data_time: 0.0326 memory: 18108 grad_norm: 3.2205 loss: 3.9438 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2548 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6890 2023/02/01 16:22:03 - mmengine - INFO - Epoch(train) [116][1480/1879] lr: 7.0086e-02 eta: 1 day, 13:13:07 time: 0.5266 data_time: 0.0356 memory: 18108 grad_norm: 3.3400 loss: 4.1308 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5452 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5856 2023/02/01 16:22:14 - mmengine - INFO - Epoch(train) [116][1500/1879] lr: 7.0079e-02 eta: 1 day, 13:12:57 time: 0.5236 data_time: 0.0333 memory: 18108 grad_norm: 3.3369 loss: 4.1283 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3781 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.7502 2023/02/01 16:22:24 - mmengine - INFO - Epoch(train) [116][1520/1879] lr: 7.0073e-02 eta: 1 day, 13:12:48 time: 0.5218 data_time: 0.0396 memory: 18108 grad_norm: 3.3059 loss: 4.3199 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5788 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7410 2023/02/01 16:22:35 - mmengine - INFO - Epoch(train) [116][1540/1879] lr: 7.0066e-02 eta: 1 day, 13:12:38 time: 0.5191 data_time: 0.0313 memory: 18108 grad_norm: 3.3495 loss: 4.1965 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4047 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.7918 2023/02/01 16:22:45 - mmengine - INFO - Epoch(train) [116][1560/1879] lr: 7.0059e-02 eta: 1 day, 13:12:27 time: 0.5072 data_time: 0.0343 memory: 18108 grad_norm: 3.2960 loss: 4.2245 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5111 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.7134 2023/02/01 16:22:55 - mmengine - INFO - Epoch(train) [116][1580/1879] lr: 7.0052e-02 eta: 1 day, 13:12:18 time: 0.5246 data_time: 0.0385 memory: 18108 grad_norm: 3.2709 loss: 4.2815 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5531 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.7285 2023/02/01 16:23:06 - mmengine - INFO - Epoch(train) [116][1600/1879] lr: 7.0045e-02 eta: 1 day, 13:12:08 time: 0.5231 data_time: 0.0328 memory: 18108 grad_norm: 3.2767 loss: 4.3337 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 2.5934 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.7403 2023/02/01 16:23:16 - mmengine - INFO - Epoch(train) [116][1620/1879] lr: 7.0038e-02 eta: 1 day, 13:11:58 time: 0.5202 data_time: 0.0312 memory: 18108 grad_norm: 3.3532 loss: 4.2850 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5231 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.7620 2023/02/01 16:23:27 - mmengine - INFO - Epoch(train) [116][1640/1879] lr: 7.0031e-02 eta: 1 day, 13:11:48 time: 0.5269 data_time: 0.0344 memory: 18108 grad_norm: 3.3376 loss: 4.2524 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4711 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.7813 2023/02/01 16:23:38 - mmengine - INFO - Epoch(train) [116][1660/1879] lr: 7.0024e-02 eta: 1 day, 13:11:39 time: 0.5421 data_time: 0.0318 memory: 18108 grad_norm: 3.3124 loss: 4.4516 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.6579 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.7937 2023/02/01 16:23:48 - mmengine - INFO - Epoch(train) [116][1680/1879] lr: 7.0017e-02 eta: 1 day, 13:11:29 time: 0.5262 data_time: 0.0330 memory: 18108 grad_norm: 3.3049 loss: 4.2517 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4665 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7852 2023/02/01 16:23:59 - mmengine - INFO - Epoch(train) [116][1700/1879] lr: 7.0010e-02 eta: 1 day, 13:11:19 time: 0.5271 data_time: 0.0328 memory: 18108 grad_norm: 3.2578 loss: 4.2790 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4251 top1_acc_1: 0.6353 top5_acc_1: 0.7529 loss_cls_1: 1.8539 2023/02/01 16:24:10 - mmengine - INFO - Epoch(train) [116][1720/1879] lr: 7.0004e-02 eta: 1 day, 13:11:10 time: 0.5358 data_time: 0.0407 memory: 18108 grad_norm: 3.2492 loss: 3.9001 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.0854 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.8147 2023/02/01 16:24:20 - mmengine - INFO - Epoch(train) [116][1740/1879] lr: 6.9997e-02 eta: 1 day, 13:11:00 time: 0.5236 data_time: 0.0304 memory: 18108 grad_norm: 3.2853 loss: 4.1177 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.3835 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7342 2023/02/01 16:24:31 - mmengine - INFO - Epoch(train) [116][1760/1879] lr: 6.9990e-02 eta: 1 day, 13:10:50 time: 0.5319 data_time: 0.0374 memory: 18108 grad_norm: 3.3067 loss: 4.1627 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3481 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8146 2023/02/01 16:24:41 - mmengine - INFO - Epoch(train) [116][1780/1879] lr: 6.9983e-02 eta: 1 day, 13:10:41 time: 0.5328 data_time: 0.0378 memory: 18108 grad_norm: 3.3309 loss: 4.1989 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.4051 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.7939 2023/02/01 16:24:52 - mmengine - INFO - Epoch(train) [116][1800/1879] lr: 6.9976e-02 eta: 1 day, 13:10:31 time: 0.5267 data_time: 0.0345 memory: 18108 grad_norm: 3.3357 loss: 4.1418 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4090 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7328 2023/02/01 16:25:02 - mmengine - INFO - Epoch(train) [116][1820/1879] lr: 6.9969e-02 eta: 1 day, 13:10:21 time: 0.5210 data_time: 0.0299 memory: 18108 grad_norm: 3.2541 loss: 4.3139 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5862 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7277 2023/02/01 16:25:13 - mmengine - INFO - Epoch(train) [116][1840/1879] lr: 6.9962e-02 eta: 1 day, 13:10:11 time: 0.5271 data_time: 0.0407 memory: 18108 grad_norm: 3.2339 loss: 4.3679 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6034 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7645 2023/02/01 16:25:24 - mmengine - INFO - Epoch(train) [116][1860/1879] lr: 6.9955e-02 eta: 1 day, 13:10:02 time: 0.5367 data_time: 0.0283 memory: 18108 grad_norm: 3.3422 loss: 4.4915 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6916 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7999 2023/02/01 16:25:33 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 16:25:33 - mmengine - INFO - Epoch(train) [116][1879/1879] lr: 6.9949e-02 eta: 1 day, 13:09:52 time: 0.5109 data_time: 0.0299 memory: 18108 grad_norm: 3.3820 loss: 4.4091 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 2.5464 top1_acc_1: 0.5059 top5_acc_1: 0.6941 loss_cls_1: 1.8626 2023/02/01 16:25:34 - mmengine - INFO - Saving checkpoint at 116 epochs 2023/02/01 16:25:45 - mmengine - INFO - Epoch(val) [116][ 20/155] eta: 0:01:01 time: 0.4583 data_time: 0.3444 memory: 1906 2023/02/01 16:25:53 - mmengine - INFO - Epoch(val) [116][ 40/155] eta: 0:00:51 time: 0.4409 data_time: 0.3290 memory: 1906 2023/02/01 16:26:02 - mmengine - INFO - Epoch(val) [116][ 60/155] eta: 0:00:41 time: 0.4259 data_time: 0.3141 memory: 1906 2023/02/01 16:26:11 - mmengine - INFO - Epoch(val) [116][ 80/155] eta: 0:00:33 time: 0.4534 data_time: 0.3419 memory: 1906 2023/02/01 16:26:20 - mmengine - INFO - Epoch(val) [116][100/155] eta: 0:00:24 time: 0.4466 data_time: 0.3350 memory: 1906 2023/02/01 16:26:29 - mmengine - INFO - Epoch(val) [116][120/155] eta: 0:00:15 time: 0.4593 data_time: 0.3489 memory: 1906 2023/02/01 16:26:38 - mmengine - INFO - Epoch(val) [116][140/155] eta: 0:00:06 time: 0.4326 data_time: 0.3220 memory: 1906 2023/02/01 16:26:46 - mmengine - INFO - Epoch(val) [116][155/155] acc/top1: 0.4744 acc/top5: 0.7257 acc/mean1: 0.4741 2023/02/01 16:27:00 - mmengine - INFO - Epoch(train) [117][ 20/1879] lr: 6.9942e-02 eta: 1 day, 13:09:47 time: 0.7248 data_time: 0.2633 memory: 18108 grad_norm: 3.2676 loss: 4.0855 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4577 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.6278 2023/02/01 16:27:08 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 16:27:10 - mmengine - INFO - Epoch(train) [117][ 40/1879] lr: 6.9935e-02 eta: 1 day, 13:09:37 time: 0.5008 data_time: 0.0328 memory: 18108 grad_norm: 3.2437 loss: 4.0772 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3374 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.7398 2023/02/01 16:27:20 - mmengine - INFO - Epoch(train) [117][ 60/1879] lr: 6.9928e-02 eta: 1 day, 13:09:26 time: 0.4913 data_time: 0.0363 memory: 18108 grad_norm: 3.3043 loss: 4.1661 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.3939 top1_acc_1: 0.7412 top5_acc_1: 0.8235 loss_cls_1: 1.7723 2023/02/01 16:27:31 - mmengine - INFO - Epoch(train) [117][ 80/1879] lr: 6.9921e-02 eta: 1 day, 13:09:17 time: 0.5342 data_time: 0.0420 memory: 18108 grad_norm: 3.3655 loss: 4.1197 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4439 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.6759 2023/02/01 16:27:40 - mmengine - INFO - Epoch(train) [117][ 100/1879] lr: 6.9914e-02 eta: 1 day, 13:09:06 time: 0.4935 data_time: 0.0363 memory: 18108 grad_norm: 3.2821 loss: 3.9053 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.2502 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.6551 2023/02/01 16:27:50 - mmengine - INFO - Epoch(train) [117][ 120/1879] lr: 6.9907e-02 eta: 1 day, 13:08:56 time: 0.4934 data_time: 0.0326 memory: 18108 grad_norm: 3.3592 loss: 4.3112 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6186 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.6926 2023/02/01 16:28:01 - mmengine - INFO - Epoch(train) [117][ 140/1879] lr: 6.9900e-02 eta: 1 day, 13:08:46 time: 0.5384 data_time: 0.0369 memory: 18108 grad_norm: 3.3672 loss: 4.3189 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4854 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8335 2023/02/01 16:28:11 - mmengine - INFO - Epoch(train) [117][ 160/1879] lr: 6.9893e-02 eta: 1 day, 13:08:36 time: 0.4983 data_time: 0.0311 memory: 18108 grad_norm: 3.3177 loss: 4.1788 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4601 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.7187 2023/02/01 16:28:21 - mmengine - INFO - Epoch(train) [117][ 180/1879] lr: 6.9886e-02 eta: 1 day, 13:08:26 time: 0.4973 data_time: 0.0362 memory: 18108 grad_norm: 3.3525 loss: 4.4109 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6203 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.7905 2023/02/01 16:28:31 - mmengine - INFO - Epoch(train) [117][ 200/1879] lr: 6.9880e-02 eta: 1 day, 13:08:15 time: 0.5065 data_time: 0.0308 memory: 18108 grad_norm: 3.3075 loss: 4.2434 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5737 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.6697 2023/02/01 16:28:42 - mmengine - INFO - Epoch(train) [117][ 220/1879] lr: 6.9873e-02 eta: 1 day, 13:08:06 time: 0.5295 data_time: 0.0355 memory: 18108 grad_norm: 3.3150 loss: 4.1638 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4595 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.7043 2023/02/01 16:28:52 - mmengine - INFO - Epoch(train) [117][ 240/1879] lr: 6.9866e-02 eta: 1 day, 13:07:55 time: 0.4925 data_time: 0.0322 memory: 18108 grad_norm: 3.3085 loss: 4.0998 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3259 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.7739 2023/02/01 16:29:02 - mmengine - INFO - Epoch(train) [117][ 260/1879] lr: 6.9859e-02 eta: 1 day, 13:07:45 time: 0.4983 data_time: 0.0367 memory: 18108 grad_norm: 3.2995 loss: 4.1683 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.4289 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7395 2023/02/01 16:29:12 - mmengine - INFO - Epoch(train) [117][ 280/1879] lr: 6.9852e-02 eta: 1 day, 13:07:35 time: 0.5195 data_time: 0.0385 memory: 18108 grad_norm: 3.3716 loss: 4.1594 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.4486 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.7108 2023/02/01 16:29:22 - mmengine - INFO - Epoch(train) [117][ 300/1879] lr: 6.9845e-02 eta: 1 day, 13:07:25 time: 0.5125 data_time: 0.0371 memory: 18108 grad_norm: 3.3136 loss: 4.1225 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4266 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.6959 2023/02/01 16:29:32 - mmengine - INFO - Epoch(train) [117][ 320/1879] lr: 6.9838e-02 eta: 1 day, 13:07:14 time: 0.4958 data_time: 0.0322 memory: 18108 grad_norm: 3.3173 loss: 4.0935 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4470 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.6465 2023/02/01 16:29:43 - mmengine - INFO - Epoch(train) [117][ 340/1879] lr: 6.9831e-02 eta: 1 day, 13:07:04 time: 0.5193 data_time: 0.0365 memory: 18108 grad_norm: 3.3419 loss: 3.9770 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3029 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.6741 2023/02/01 16:29:53 - mmengine - INFO - Epoch(train) [117][ 360/1879] lr: 6.9824e-02 eta: 1 day, 13:06:54 time: 0.5089 data_time: 0.0416 memory: 18108 grad_norm: 3.3365 loss: 4.1777 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4350 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.7427 2023/02/01 16:30:03 - mmengine - INFO - Epoch(train) [117][ 380/1879] lr: 6.9817e-02 eta: 1 day, 13:06:44 time: 0.5053 data_time: 0.0363 memory: 18108 grad_norm: 3.2344 loss: 4.2644 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5262 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.7382 2023/02/01 16:30:13 - mmengine - INFO - Epoch(train) [117][ 400/1879] lr: 6.9810e-02 eta: 1 day, 13:06:33 time: 0.4968 data_time: 0.0320 memory: 18108 grad_norm: 3.3007 loss: 4.1648 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4328 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.7321 2023/02/01 16:30:23 - mmengine - INFO - Epoch(train) [117][ 420/1879] lr: 6.9803e-02 eta: 1 day, 13:06:23 time: 0.5188 data_time: 0.0433 memory: 18108 grad_norm: 3.2904 loss: 4.3434 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6298 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7136 2023/02/01 16:30:33 - mmengine - INFO - Epoch(train) [117][ 440/1879] lr: 6.9797e-02 eta: 1 day, 13:06:13 time: 0.4914 data_time: 0.0314 memory: 18108 grad_norm: 3.2185 loss: 4.0291 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3493 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.6798 2023/02/01 16:30:43 - mmengine - INFO - Epoch(train) [117][ 460/1879] lr: 6.9790e-02 eta: 1 day, 13:06:02 time: 0.4996 data_time: 0.0365 memory: 18108 grad_norm: 3.3406 loss: 4.0887 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4033 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.6854 2023/02/01 16:30:54 - mmengine - INFO - Epoch(train) [117][ 480/1879] lr: 6.9783e-02 eta: 1 day, 13:05:52 time: 0.5171 data_time: 0.0325 memory: 18108 grad_norm: 3.3382 loss: 4.2307 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3660 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.8647 2023/02/01 16:31:04 - mmengine - INFO - Epoch(train) [117][ 500/1879] lr: 6.9776e-02 eta: 1 day, 13:05:42 time: 0.4992 data_time: 0.0364 memory: 18108 grad_norm: 3.3556 loss: 4.1420 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3284 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.8135 2023/02/01 16:31:13 - mmengine - INFO - Epoch(train) [117][ 520/1879] lr: 6.9769e-02 eta: 1 day, 13:05:32 time: 0.4958 data_time: 0.0319 memory: 18108 grad_norm: 3.2451 loss: 3.9831 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2259 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7571 2023/02/01 16:31:23 - mmengine - INFO - Epoch(train) [117][ 540/1879] lr: 6.9762e-02 eta: 1 day, 13:05:21 time: 0.4992 data_time: 0.0371 memory: 18108 grad_norm: 3.3407 loss: 4.1771 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3674 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8097 2023/02/01 16:31:34 - mmengine - INFO - Epoch(train) [117][ 560/1879] lr: 6.9755e-02 eta: 1 day, 13:05:11 time: 0.5126 data_time: 0.0393 memory: 18108 grad_norm: 3.3383 loss: 4.2417 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4733 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.7684 2023/02/01 16:31:44 - mmengine - INFO - Epoch(train) [117][ 580/1879] lr: 6.9748e-02 eta: 1 day, 13:05:01 time: 0.5044 data_time: 0.0363 memory: 18108 grad_norm: 3.3141 loss: 4.2461 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5254 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.7207 2023/02/01 16:31:54 - mmengine - INFO - Epoch(train) [117][ 600/1879] lr: 6.9741e-02 eta: 1 day, 13:04:51 time: 0.5059 data_time: 0.0330 memory: 18108 grad_norm: 3.2275 loss: 4.0958 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4995 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 1.5963 2023/02/01 16:32:05 - mmengine - INFO - Epoch(train) [117][ 620/1879] lr: 6.9734e-02 eta: 1 day, 13:04:41 time: 0.5260 data_time: 0.0459 memory: 18108 grad_norm: 3.3015 loss: 4.2612 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5495 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.7117 2023/02/01 16:32:15 - mmengine - INFO - Epoch(train) [117][ 640/1879] lr: 6.9727e-02 eta: 1 day, 13:04:31 time: 0.5158 data_time: 0.0327 memory: 18108 grad_norm: 3.3255 loss: 4.2117 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4418 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.7699 2023/02/01 16:32:25 - mmengine - INFO - Epoch(train) [117][ 660/1879] lr: 6.9720e-02 eta: 1 day, 13:04:21 time: 0.5175 data_time: 0.0357 memory: 18108 grad_norm: 3.2017 loss: 4.1798 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4519 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.7279 2023/02/01 16:32:35 - mmengine - INFO - Epoch(train) [117][ 680/1879] lr: 6.9714e-02 eta: 1 day, 13:04:11 time: 0.5120 data_time: 0.0321 memory: 18108 grad_norm: 3.3108 loss: 4.1557 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4551 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7006 2023/02/01 16:32:46 - mmengine - INFO - Epoch(train) [117][ 700/1879] lr: 6.9707e-02 eta: 1 day, 13:04:01 time: 0.5184 data_time: 0.0435 memory: 18108 grad_norm: 3.2877 loss: 4.2482 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4581 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.7901 2023/02/01 16:32:56 - mmengine - INFO - Epoch(train) [117][ 720/1879] lr: 6.9700e-02 eta: 1 day, 13:03:51 time: 0.5076 data_time: 0.0319 memory: 18108 grad_norm: 3.3191 loss: 4.1505 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.4057 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.7448 2023/02/01 16:33:06 - mmengine - INFO - Epoch(train) [117][ 740/1879] lr: 6.9693e-02 eta: 1 day, 13:03:41 time: 0.5218 data_time: 0.0391 memory: 18108 grad_norm: 3.2799 loss: 3.8797 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.1832 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.6965 2023/02/01 16:33:17 - mmengine - INFO - Epoch(train) [117][ 760/1879] lr: 6.9686e-02 eta: 1 day, 13:03:31 time: 0.5062 data_time: 0.0311 memory: 18108 grad_norm: 3.2812 loss: 4.1640 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4845 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.6794 2023/02/01 16:33:27 - mmengine - INFO - Epoch(train) [117][ 780/1879] lr: 6.9679e-02 eta: 1 day, 13:03:21 time: 0.5206 data_time: 0.0453 memory: 18108 grad_norm: 3.3607 loss: 4.4672 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.6489 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.8183 2023/02/01 16:33:37 - mmengine - INFO - Epoch(train) [117][ 800/1879] lr: 6.9672e-02 eta: 1 day, 13:03:10 time: 0.5049 data_time: 0.0314 memory: 18108 grad_norm: 3.3341 loss: 4.3662 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6840 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6822 2023/02/01 16:33:47 - mmengine - INFO - Epoch(train) [117][ 820/1879] lr: 6.9665e-02 eta: 1 day, 13:03:00 time: 0.5126 data_time: 0.0360 memory: 18108 grad_norm: 3.3446 loss: 4.0368 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3165 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.7203 2023/02/01 16:33:58 - mmengine - INFO - Epoch(train) [117][ 840/1879] lr: 6.9658e-02 eta: 1 day, 13:02:50 time: 0.5120 data_time: 0.0404 memory: 18108 grad_norm: 3.3307 loss: 4.3620 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 2.5533 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.8087 2023/02/01 16:34:08 - mmengine - INFO - Epoch(train) [117][ 860/1879] lr: 6.9651e-02 eta: 1 day, 13:02:40 time: 0.5167 data_time: 0.0377 memory: 18108 grad_norm: 3.3539 loss: 4.1886 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4507 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7379 2023/02/01 16:34:18 - mmengine - INFO - Epoch(train) [117][ 880/1879] lr: 6.9644e-02 eta: 1 day, 13:02:30 time: 0.5040 data_time: 0.0321 memory: 18108 grad_norm: 3.3039 loss: 4.1199 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2812 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.8388 2023/02/01 16:34:28 - mmengine - INFO - Epoch(train) [117][ 900/1879] lr: 6.9637e-02 eta: 1 day, 13:02:20 time: 0.5104 data_time: 0.0447 memory: 18108 grad_norm: 3.2596 loss: 3.9837 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.2403 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.7435 2023/02/01 16:34:38 - mmengine - INFO - Epoch(train) [117][ 920/1879] lr: 6.9630e-02 eta: 1 day, 13:02:10 time: 0.5072 data_time: 0.0321 memory: 18108 grad_norm: 3.3111 loss: 4.2943 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.5531 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.7412 2023/02/01 16:34:49 - mmengine - INFO - Epoch(train) [117][ 940/1879] lr: 6.9624e-02 eta: 1 day, 13:01:59 time: 0.5017 data_time: 0.0375 memory: 18108 grad_norm: 3.3673 loss: 4.3611 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.5830 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7781 2023/02/01 16:34:59 - mmengine - INFO - Epoch(train) [117][ 960/1879] lr: 6.9617e-02 eta: 1 day, 13:01:49 time: 0.5045 data_time: 0.0387 memory: 18108 grad_norm: 3.2863 loss: 4.1771 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4130 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.7642 2023/02/01 16:35:09 - mmengine - INFO - Epoch(train) [117][ 980/1879] lr: 6.9610e-02 eta: 1 day, 13:01:39 time: 0.5128 data_time: 0.0359 memory: 18108 grad_norm: 3.3207 loss: 4.3046 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5812 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7234 2023/02/01 16:35:19 - mmengine - INFO - Epoch(train) [117][1000/1879] lr: 6.9603e-02 eta: 1 day, 13:01:29 time: 0.5048 data_time: 0.0312 memory: 18108 grad_norm: 3.3140 loss: 4.0889 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3384 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.7505 2023/02/01 16:35:29 - mmengine - INFO - Epoch(train) [117][1020/1879] lr: 6.9596e-02 eta: 1 day, 13:01:18 time: 0.5048 data_time: 0.0434 memory: 18108 grad_norm: 3.3176 loss: 4.2847 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5366 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.7481 2023/02/01 16:35:37 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 16:35:39 - mmengine - INFO - Epoch(train) [117][1040/1879] lr: 6.9589e-02 eta: 1 day, 13:01:08 time: 0.5047 data_time: 0.0331 memory: 18108 grad_norm: 3.3996 loss: 4.1900 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3624 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.8276 2023/02/01 16:35:49 - mmengine - INFO - Epoch(train) [117][1060/1879] lr: 6.9582e-02 eta: 1 day, 13:00:58 time: 0.5091 data_time: 0.0384 memory: 18108 grad_norm: 3.2602 loss: 4.2218 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4546 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.7672 2023/02/01 16:36:00 - mmengine - INFO - Epoch(train) [117][1080/1879] lr: 6.9575e-02 eta: 1 day, 13:00:48 time: 0.5051 data_time: 0.0321 memory: 18108 grad_norm: 3.3310 loss: 4.1134 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4134 top1_acc_1: 0.6235 top5_acc_1: 0.7412 loss_cls_1: 1.7000 2023/02/01 16:36:10 - mmengine - INFO - Epoch(train) [117][1100/1879] lr: 6.9568e-02 eta: 1 day, 13:00:38 time: 0.5075 data_time: 0.0432 memory: 18108 grad_norm: 3.2593 loss: 3.9633 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2337 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7296 2023/02/01 16:36:20 - mmengine - INFO - Epoch(train) [117][1120/1879] lr: 6.9561e-02 eta: 1 day, 13:00:27 time: 0.4998 data_time: 0.0312 memory: 18108 grad_norm: 3.3068 loss: 4.2715 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6261 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.6454 2023/02/01 16:36:30 - mmengine - INFO - Epoch(train) [117][1140/1879] lr: 6.9554e-02 eta: 1 day, 13:00:17 time: 0.5074 data_time: 0.0372 memory: 18108 grad_norm: 3.3360 loss: 4.1005 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3776 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.7229 2023/02/01 16:36:40 - mmengine - INFO - Epoch(train) [117][1160/1879] lr: 6.9547e-02 eta: 1 day, 13:00:07 time: 0.5026 data_time: 0.0393 memory: 18108 grad_norm: 3.3746 loss: 4.3349 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5552 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.7796 2023/02/01 16:36:50 - mmengine - INFO - Epoch(train) [117][1180/1879] lr: 6.9540e-02 eta: 1 day, 12:59:57 time: 0.5082 data_time: 0.0360 memory: 18108 grad_norm: 3.2818 loss: 4.0690 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.2376 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.8313 2023/02/01 16:37:00 - mmengine - INFO - Epoch(train) [117][1200/1879] lr: 6.9533e-02 eta: 1 day, 12:59:46 time: 0.4975 data_time: 0.0314 memory: 18108 grad_norm: 3.3092 loss: 4.3004 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5489 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7515 2023/02/01 16:37:10 - mmengine - INFO - Epoch(train) [117][1220/1879] lr: 6.9527e-02 eta: 1 day, 12:59:36 time: 0.5097 data_time: 0.0485 memory: 18108 grad_norm: 3.2807 loss: 4.0392 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.3255 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.7137 2023/02/01 16:37:20 - mmengine - INFO - Epoch(train) [117][1240/1879] lr: 6.9520e-02 eta: 1 day, 12:59:25 time: 0.4969 data_time: 0.0315 memory: 18108 grad_norm: 3.3413 loss: 4.2992 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.5116 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.7876 2023/02/01 16:37:30 - mmengine - INFO - Epoch(train) [117][1260/1879] lr: 6.9513e-02 eta: 1 day, 12:59:15 time: 0.5001 data_time: 0.0381 memory: 18108 grad_norm: 3.3178 loss: 4.1743 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4825 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.6918 2023/02/01 16:37:40 - mmengine - INFO - Epoch(train) [117][1280/1879] lr: 6.9506e-02 eta: 1 day, 12:59:05 time: 0.4951 data_time: 0.0316 memory: 18108 grad_norm: 3.3188 loss: 4.5660 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6804 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.8856 2023/02/01 16:37:50 - mmengine - INFO - Epoch(train) [117][1300/1879] lr: 6.9499e-02 eta: 1 day, 12:58:55 time: 0.5128 data_time: 0.0463 memory: 18108 grad_norm: 3.3593 loss: 4.1544 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3752 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.7792 2023/02/01 16:38:00 - mmengine - INFO - Epoch(train) [117][1320/1879] lr: 6.9492e-02 eta: 1 day, 12:58:44 time: 0.4878 data_time: 0.0309 memory: 18108 grad_norm: 3.2913 loss: 4.1033 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4176 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.6857 2023/02/01 16:38:10 - mmengine - INFO - Epoch(train) [117][1340/1879] lr: 6.9485e-02 eta: 1 day, 12:58:34 time: 0.5067 data_time: 0.0382 memory: 18108 grad_norm: 3.2734 loss: 4.2440 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4241 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8199 2023/02/01 16:38:20 - mmengine - INFO - Epoch(train) [117][1360/1879] lr: 6.9478e-02 eta: 1 day, 12:58:23 time: 0.4990 data_time: 0.0397 memory: 18108 grad_norm: 3.2933 loss: 4.1910 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.4752 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.7157 2023/02/01 16:38:30 - mmengine - INFO - Epoch(train) [117][1380/1879] lr: 6.9471e-02 eta: 1 day, 12:58:13 time: 0.5019 data_time: 0.0386 memory: 18108 grad_norm: 3.3216 loss: 4.3152 top1_acc_0: 0.1250 top5_acc_0: 0.4375 loss_cls_0: 2.5845 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.7307 2023/02/01 16:38:40 - mmengine - INFO - Epoch(train) [117][1400/1879] lr: 6.9464e-02 eta: 1 day, 12:58:02 time: 0.4952 data_time: 0.0316 memory: 18108 grad_norm: 3.2894 loss: 4.3800 top1_acc_0: 0.0625 top5_acc_0: 0.5000 loss_cls_0: 2.5984 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.7816 2023/02/01 16:38:51 - mmengine - INFO - Epoch(train) [117][1420/1879] lr: 6.9457e-02 eta: 1 day, 12:57:52 time: 0.5100 data_time: 0.0388 memory: 18108 grad_norm: 3.3569 loss: 4.3313 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5267 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.8046 2023/02/01 16:39:00 - mmengine - INFO - Epoch(train) [117][1440/1879] lr: 6.9450e-02 eta: 1 day, 12:57:42 time: 0.4932 data_time: 0.0314 memory: 18108 grad_norm: 3.3181 loss: 4.0447 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.3691 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.6756 2023/02/01 16:39:10 - mmengine - INFO - Epoch(train) [117][1460/1879] lr: 6.9443e-02 eta: 1 day, 12:57:31 time: 0.4940 data_time: 0.0353 memory: 18108 grad_norm: 3.2963 loss: 4.0885 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.3353 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.7532 2023/02/01 16:39:21 - mmengine - INFO - Epoch(train) [117][1480/1879] lr: 6.9436e-02 eta: 1 day, 12:57:21 time: 0.5133 data_time: 0.0374 memory: 18108 grad_norm: 3.3794 loss: 4.0378 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2627 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.7751 2023/02/01 16:39:31 - mmengine - INFO - Epoch(train) [117][1500/1879] lr: 6.9429e-02 eta: 1 day, 12:57:12 time: 0.5362 data_time: 0.0487 memory: 18108 grad_norm: 3.3707 loss: 4.2334 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4553 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7781 2023/02/01 16:39:42 - mmengine - INFO - Epoch(train) [117][1520/1879] lr: 6.9422e-02 eta: 1 day, 12:57:01 time: 0.5073 data_time: 0.0369 memory: 18108 grad_norm: 3.3667 loss: 4.1255 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3667 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.7588 2023/02/01 16:39:52 - mmengine - INFO - Epoch(train) [117][1540/1879] lr: 6.9416e-02 eta: 1 day, 12:56:51 time: 0.5178 data_time: 0.0306 memory: 18108 grad_norm: 3.3216 loss: 4.0492 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3437 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.7054 2023/02/01 16:40:03 - mmengine - INFO - Epoch(train) [117][1560/1879] lr: 6.9409e-02 eta: 1 day, 12:56:42 time: 0.5332 data_time: 0.0496 memory: 18108 grad_norm: 3.3188 loss: 4.2285 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4584 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.7701 2023/02/01 16:40:13 - mmengine - INFO - Epoch(train) [117][1580/1879] lr: 6.9402e-02 eta: 1 day, 12:56:32 time: 0.5109 data_time: 0.0325 memory: 18108 grad_norm: 3.2929 loss: 4.4211 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6148 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.8062 2023/02/01 16:40:23 - mmengine - INFO - Epoch(train) [117][1600/1879] lr: 6.9395e-02 eta: 1 day, 12:56:22 time: 0.5117 data_time: 0.0354 memory: 18108 grad_norm: 3.3219 loss: 4.0786 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3276 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 1.7510 2023/02/01 16:40:33 - mmengine - INFO - Epoch(train) [117][1620/1879] lr: 6.9388e-02 eta: 1 day, 12:56:12 time: 0.5150 data_time: 0.0308 memory: 18108 grad_norm: 3.3104 loss: 4.5043 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6724 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.8320 2023/02/01 16:40:44 - mmengine - INFO - Epoch(train) [117][1640/1879] lr: 6.9381e-02 eta: 1 day, 12:56:01 time: 0.5064 data_time: 0.0370 memory: 18108 grad_norm: 3.3556 loss: 4.1628 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4431 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.7197 2023/02/01 16:40:54 - mmengine - INFO - Epoch(train) [117][1660/1879] lr: 6.9374e-02 eta: 1 day, 12:55:51 time: 0.5030 data_time: 0.0328 memory: 18108 grad_norm: 3.2954 loss: 4.1220 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4034 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.7186 2023/02/01 16:41:03 - mmengine - INFO - Epoch(train) [117][1680/1879] lr: 6.9367e-02 eta: 1 day, 12:55:41 time: 0.4922 data_time: 0.0307 memory: 18108 grad_norm: 3.2691 loss: 4.0231 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2676 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7555 2023/02/01 16:41:14 - mmengine - INFO - Epoch(train) [117][1700/1879] lr: 6.9360e-02 eta: 1 day, 12:55:31 time: 0.5353 data_time: 0.0378 memory: 18108 grad_norm: 3.2950 loss: 4.1042 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3392 top1_acc_1: 0.6588 top5_acc_1: 0.7647 loss_cls_1: 1.7650 2023/02/01 16:41:24 - mmengine - INFO - Epoch(train) [117][1720/1879] lr: 6.9353e-02 eta: 1 day, 12:55:20 time: 0.4909 data_time: 0.0316 memory: 18108 grad_norm: 3.2501 loss: 4.1972 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3913 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.8059 2023/02/01 16:41:34 - mmengine - INFO - Epoch(train) [117][1740/1879] lr: 6.9346e-02 eta: 1 day, 12:55:10 time: 0.5104 data_time: 0.0361 memory: 18108 grad_norm: 3.2988 loss: 4.2922 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5116 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7806 2023/02/01 16:41:44 - mmengine - INFO - Epoch(train) [117][1760/1879] lr: 6.9339e-02 eta: 1 day, 12:55:00 time: 0.5081 data_time: 0.0421 memory: 18108 grad_norm: 3.3122 loss: 4.0986 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3134 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.7851 2023/02/01 16:41:55 - mmengine - INFO - Epoch(train) [117][1780/1879] lr: 6.9332e-02 eta: 1 day, 12:54:50 time: 0.5152 data_time: 0.0392 memory: 18108 grad_norm: 3.2767 loss: 4.2447 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4702 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7745 2023/02/01 16:42:05 - mmengine - INFO - Epoch(train) [117][1800/1879] lr: 6.9325e-02 eta: 1 day, 12:54:40 time: 0.5079 data_time: 0.0323 memory: 18108 grad_norm: 3.3193 loss: 4.2692 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4829 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.7863 2023/02/01 16:42:16 - mmengine - INFO - Epoch(train) [117][1820/1879] lr: 6.9318e-02 eta: 1 day, 12:54:30 time: 0.5347 data_time: 0.0352 memory: 18108 grad_norm: 3.3065 loss: 4.1855 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3913 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7943 2023/02/01 16:42:26 - mmengine - INFO - Epoch(train) [117][1840/1879] lr: 6.9311e-02 eta: 1 day, 12:54:20 time: 0.5149 data_time: 0.0391 memory: 18108 grad_norm: 3.2811 loss: 4.4317 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6121 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.8195 2023/02/01 16:42:36 - mmengine - INFO - Epoch(train) [117][1860/1879] lr: 6.9304e-02 eta: 1 day, 12:54:11 time: 0.5256 data_time: 0.0384 memory: 18108 grad_norm: 3.3676 loss: 4.3560 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5438 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.8122 2023/02/01 16:42:46 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 16:42:46 - mmengine - INFO - Epoch(train) [117][1879/1879] lr: 6.9298e-02 eta: 1 day, 12:54:00 time: 0.4883 data_time: 0.0272 memory: 18108 grad_norm: 3.3779 loss: 4.2130 top1_acc_0: 0.5714 top5_acc_0: 0.7143 loss_cls_0: 2.5200 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.6930 2023/02/01 16:43:01 - mmengine - INFO - Epoch(train) [118][ 20/1879] lr: 6.9291e-02 eta: 1 day, 12:53:55 time: 0.7087 data_time: 0.2575 memory: 18108 grad_norm: 3.2680 loss: 4.2108 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4457 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.7651 2023/02/01 16:43:10 - mmengine - INFO - Epoch(train) [118][ 40/1879] lr: 6.9284e-02 eta: 1 day, 12:53:44 time: 0.4654 data_time: 0.0361 memory: 18108 grad_norm: 3.2731 loss: 4.1570 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4056 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.7514 2023/02/01 16:43:20 - mmengine - INFO - Epoch(train) [118][ 60/1879] lr: 6.9277e-02 eta: 1 day, 12:53:33 time: 0.4775 data_time: 0.0347 memory: 18108 grad_norm: 3.2280 loss: 4.1158 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.4584 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.6574 2023/02/01 16:43:29 - mmengine - INFO - Epoch(train) [118][ 80/1879] lr: 6.9270e-02 eta: 1 day, 12:53:22 time: 0.4837 data_time: 0.0448 memory: 18108 grad_norm: 3.3190 loss: 4.2051 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.4999 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7052 2023/02/01 16:43:39 - mmengine - INFO - Epoch(train) [118][ 100/1879] lr: 6.9263e-02 eta: 1 day, 12:53:11 time: 0.4841 data_time: 0.0357 memory: 18108 grad_norm: 3.3320 loss: 4.0354 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.4038 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6316 2023/02/01 16:43:48 - mmengine - INFO - Epoch(train) [118][ 120/1879] lr: 6.9256e-02 eta: 1 day, 12:53:00 time: 0.4648 data_time: 0.0344 memory: 18108 grad_norm: 3.3490 loss: 3.8347 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1118 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.7229 2023/02/01 16:43:58 - mmengine - INFO - Epoch(train) [118][ 140/1879] lr: 6.9249e-02 eta: 1 day, 12:52:49 time: 0.4872 data_time: 0.0337 memory: 18108 grad_norm: 3.2606 loss: 4.0790 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3064 top1_acc_1: 0.4588 top5_acc_1: 0.7882 loss_cls_1: 1.7726 2023/02/01 16:44:06 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 16:44:08 - mmengine - INFO - Epoch(train) [118][ 160/1879] lr: 6.9242e-02 eta: 1 day, 12:52:39 time: 0.4805 data_time: 0.0346 memory: 18108 grad_norm: 3.2958 loss: 4.0501 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4109 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.6392 2023/02/01 16:44:17 - mmengine - INFO - Epoch(train) [118][ 180/1879] lr: 6.9235e-02 eta: 1 day, 12:52:28 time: 0.4829 data_time: 0.0364 memory: 18108 grad_norm: 3.2783 loss: 3.9769 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2595 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.7174 2023/02/01 16:44:27 - mmengine - INFO - Epoch(train) [118][ 200/1879] lr: 6.9228e-02 eta: 1 day, 12:52:17 time: 0.4766 data_time: 0.0342 memory: 18108 grad_norm: 3.2989 loss: 4.2029 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4566 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.7463 2023/02/01 16:44:37 - mmengine - INFO - Epoch(train) [118][ 220/1879] lr: 6.9221e-02 eta: 1 day, 12:52:06 time: 0.4859 data_time: 0.0424 memory: 18108 grad_norm: 3.3359 loss: 4.1555 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.4159 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.7396 2023/02/01 16:44:46 - mmengine - INFO - Epoch(train) [118][ 240/1879] lr: 6.9214e-02 eta: 1 day, 12:51:55 time: 0.4830 data_time: 0.0313 memory: 18108 grad_norm: 3.2874 loss: 4.2777 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5250 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.7527 2023/02/01 16:44:56 - mmengine - INFO - Epoch(train) [118][ 260/1879] lr: 6.9207e-02 eta: 1 day, 12:51:45 time: 0.4856 data_time: 0.0340 memory: 18108 grad_norm: 3.3168 loss: 4.0289 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4310 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.5979 2023/02/01 16:45:05 - mmengine - INFO - Epoch(train) [118][ 280/1879] lr: 6.9201e-02 eta: 1 day, 12:51:34 time: 0.4704 data_time: 0.0330 memory: 18108 grad_norm: 3.4127 loss: 4.2904 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5255 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7649 2023/02/01 16:45:15 - mmengine - INFO - Epoch(train) [118][ 300/1879] lr: 6.9194e-02 eta: 1 day, 12:51:23 time: 0.4904 data_time: 0.0367 memory: 18108 grad_norm: 3.3661 loss: 4.2362 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5753 top1_acc_1: 0.6235 top5_acc_1: 0.8941 loss_cls_1: 1.6609 2023/02/01 16:45:25 - mmengine - INFO - Epoch(train) [118][ 320/1879] lr: 6.9187e-02 eta: 1 day, 12:51:12 time: 0.4762 data_time: 0.0346 memory: 18108 grad_norm: 3.2951 loss: 4.1142 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4385 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6757 2023/02/01 16:45:35 - mmengine - INFO - Epoch(train) [118][ 340/1879] lr: 6.9180e-02 eta: 1 day, 12:51:01 time: 0.4896 data_time: 0.0352 memory: 18108 grad_norm: 3.3410 loss: 4.2358 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5780 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.6578 2023/02/01 16:45:44 - mmengine - INFO - Epoch(train) [118][ 360/1879] lr: 6.9173e-02 eta: 1 day, 12:50:50 time: 0.4712 data_time: 0.0422 memory: 18108 grad_norm: 3.3347 loss: 4.3078 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5788 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7289 2023/02/01 16:45:54 - mmengine - INFO - Epoch(train) [118][ 380/1879] lr: 6.9166e-02 eta: 1 day, 12:50:40 time: 0.4824 data_time: 0.0343 memory: 18108 grad_norm: 3.3012 loss: 4.0012 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.2197 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7815 2023/02/01 16:46:04 - mmengine - INFO - Epoch(train) [118][ 400/1879] lr: 6.9159e-02 eta: 1 day, 12:50:29 time: 0.4940 data_time: 0.0328 memory: 18108 grad_norm: 3.2910 loss: 4.3369 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6200 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.7169 2023/02/01 16:46:13 - mmengine - INFO - Epoch(train) [118][ 420/1879] lr: 6.9152e-02 eta: 1 day, 12:50:18 time: 0.4784 data_time: 0.0356 memory: 18108 grad_norm: 3.3582 loss: 4.4215 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6288 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7927 2023/02/01 16:46:23 - mmengine - INFO - Epoch(train) [118][ 440/1879] lr: 6.9145e-02 eta: 1 day, 12:50:07 time: 0.4814 data_time: 0.0424 memory: 18108 grad_norm: 3.2848 loss: 4.1856 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4064 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7792 2023/02/01 16:46:32 - mmengine - INFO - Epoch(train) [118][ 460/1879] lr: 6.9138e-02 eta: 1 day, 12:49:56 time: 0.4766 data_time: 0.0364 memory: 18108 grad_norm: 3.3141 loss: 4.2232 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5235 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.6997 2023/02/01 16:46:42 - mmengine - INFO - Epoch(train) [118][ 480/1879] lr: 6.9131e-02 eta: 1 day, 12:49:45 time: 0.4748 data_time: 0.0342 memory: 18108 grad_norm: 3.2912 loss: 4.1707 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4567 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7140 2023/02/01 16:46:52 - mmengine - INFO - Epoch(train) [118][ 500/1879] lr: 6.9124e-02 eta: 1 day, 12:49:35 time: 0.4833 data_time: 0.0347 memory: 18108 grad_norm: 3.2470 loss: 3.9314 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1623 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.7691 2023/02/01 16:47:01 - mmengine - INFO - Epoch(train) [118][ 520/1879] lr: 6.9117e-02 eta: 1 day, 12:49:24 time: 0.4753 data_time: 0.0404 memory: 18108 grad_norm: 3.2956 loss: 4.2480 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5738 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.6742 2023/02/01 16:47:11 - mmengine - INFO - Epoch(train) [118][ 540/1879] lr: 6.9110e-02 eta: 1 day, 12:49:13 time: 0.4929 data_time: 0.0364 memory: 18108 grad_norm: 3.3504 loss: 4.1646 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4073 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.7573 2023/02/01 16:47:20 - mmengine - INFO - Epoch(train) [118][ 560/1879] lr: 6.9103e-02 eta: 1 day, 12:49:02 time: 0.4776 data_time: 0.0334 memory: 18108 grad_norm: 3.3178 loss: 4.2266 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4966 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.7300 2023/02/01 16:47:30 - mmengine - INFO - Epoch(train) [118][ 580/1879] lr: 6.9096e-02 eta: 1 day, 12:48:52 time: 0.4831 data_time: 0.0355 memory: 18108 grad_norm: 3.3172 loss: 4.2715 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4525 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.8190 2023/02/01 16:47:40 - mmengine - INFO - Epoch(train) [118][ 600/1879] lr: 6.9089e-02 eta: 1 day, 12:48:41 time: 0.4817 data_time: 0.0423 memory: 18108 grad_norm: 3.4163 loss: 4.2279 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4293 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.7986 2023/02/01 16:47:49 - mmengine - INFO - Epoch(train) [118][ 620/1879] lr: 6.9082e-02 eta: 1 day, 12:48:30 time: 0.4836 data_time: 0.0347 memory: 18108 grad_norm: 3.3086 loss: 4.1576 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3746 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7830 2023/02/01 16:47:59 - mmengine - INFO - Epoch(train) [118][ 640/1879] lr: 6.9075e-02 eta: 1 day, 12:48:19 time: 0.4748 data_time: 0.0331 memory: 18108 grad_norm: 3.3258 loss: 4.3327 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5911 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7416 2023/02/01 16:48:09 - mmengine - INFO - Epoch(train) [118][ 660/1879] lr: 6.9068e-02 eta: 1 day, 12:48:08 time: 0.4951 data_time: 0.0450 memory: 18108 grad_norm: 3.3523 loss: 4.1125 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3707 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7419 2023/02/01 16:48:19 - mmengine - INFO - Epoch(train) [118][ 680/1879] lr: 6.9061e-02 eta: 1 day, 12:47:58 time: 0.4856 data_time: 0.0331 memory: 18108 grad_norm: 3.3736 loss: 4.2409 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5760 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.6649 2023/02/01 16:48:28 - mmengine - INFO - Epoch(train) [118][ 700/1879] lr: 6.9054e-02 eta: 1 day, 12:47:47 time: 0.4831 data_time: 0.0352 memory: 18108 grad_norm: 3.2875 loss: 4.4865 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.7269 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7596 2023/02/01 16:48:38 - mmengine - INFO - Epoch(train) [118][ 720/1879] lr: 6.9047e-02 eta: 1 day, 12:47:36 time: 0.4778 data_time: 0.0353 memory: 18108 grad_norm: 3.3294 loss: 4.2390 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4942 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.7448 2023/02/01 16:48:48 - mmengine - INFO - Epoch(train) [118][ 740/1879] lr: 6.9040e-02 eta: 1 day, 12:47:26 time: 0.5086 data_time: 0.0428 memory: 18108 grad_norm: 3.2929 loss: 4.2413 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4907 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.7507 2023/02/01 16:48:58 - mmengine - INFO - Epoch(train) [118][ 760/1879] lr: 6.9033e-02 eta: 1 day, 12:47:15 time: 0.4732 data_time: 0.0340 memory: 18108 grad_norm: 3.2662 loss: 4.0703 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2457 top1_acc_1: 0.5529 top5_acc_1: 0.7059 loss_cls_1: 1.8246 2023/02/01 16:49:07 - mmengine - INFO - Epoch(train) [118][ 780/1879] lr: 6.9027e-02 eta: 1 day, 12:47:04 time: 0.4878 data_time: 0.0360 memory: 18108 grad_norm: 3.3282 loss: 4.2652 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5209 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.7444 2023/02/01 16:49:17 - mmengine - INFO - Epoch(train) [118][ 800/1879] lr: 6.9020e-02 eta: 1 day, 12:46:54 time: 0.4897 data_time: 0.0330 memory: 18108 grad_norm: 3.2700 loss: 4.3779 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6339 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 1.7440 2023/02/01 16:49:27 - mmengine - INFO - Epoch(train) [118][ 820/1879] lr: 6.9013e-02 eta: 1 day, 12:46:43 time: 0.4993 data_time: 0.0343 memory: 18108 grad_norm: 3.2909 loss: 4.1921 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5141 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.6780 2023/02/01 16:49:37 - mmengine - INFO - Epoch(train) [118][ 840/1879] lr: 6.9006e-02 eta: 1 day, 12:46:32 time: 0.4751 data_time: 0.0343 memory: 18108 grad_norm: 3.3004 loss: 4.0316 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2910 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.7406 2023/02/01 16:49:46 - mmengine - INFO - Epoch(train) [118][ 860/1879] lr: 6.8999e-02 eta: 1 day, 12:46:22 time: 0.4919 data_time: 0.0344 memory: 18108 grad_norm: 3.2270 loss: 4.2803 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5101 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7702 2023/02/01 16:49:56 - mmengine - INFO - Epoch(train) [118][ 880/1879] lr: 6.8992e-02 eta: 1 day, 12:46:11 time: 0.4914 data_time: 0.0322 memory: 18108 grad_norm: 3.3396 loss: 4.0983 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3617 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7366 2023/02/01 16:50:06 - mmengine - INFO - Epoch(train) [118][ 900/1879] lr: 6.8985e-02 eta: 1 day, 12:46:01 time: 0.5018 data_time: 0.0422 memory: 18108 grad_norm: 3.3417 loss: 4.0398 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3698 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.6700 2023/02/01 16:50:16 - mmengine - INFO - Epoch(train) [118][ 920/1879] lr: 6.8978e-02 eta: 1 day, 12:45:50 time: 0.4946 data_time: 0.0328 memory: 18108 grad_norm: 3.3899 loss: 4.3152 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6196 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.6956 2023/02/01 16:50:26 - mmengine - INFO - Epoch(train) [118][ 940/1879] lr: 6.8971e-02 eta: 1 day, 12:45:40 time: 0.5005 data_time: 0.0359 memory: 18108 grad_norm: 3.3845 loss: 4.2906 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5058 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.7847 2023/02/01 16:50:37 - mmengine - INFO - Epoch(train) [118][ 960/1879] lr: 6.8964e-02 eta: 1 day, 12:45:30 time: 0.5100 data_time: 0.0406 memory: 18108 grad_norm: 3.2988 loss: 4.1620 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4437 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7183 2023/02/01 16:50:46 - mmengine - INFO - Epoch(train) [118][ 980/1879] lr: 6.8957e-02 eta: 1 day, 12:45:19 time: 0.4941 data_time: 0.0346 memory: 18108 grad_norm: 3.3898 loss: 4.3421 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.5138 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.8283 2023/02/01 16:50:56 - mmengine - INFO - Epoch(train) [118][1000/1879] lr: 6.8950e-02 eta: 1 day, 12:45:09 time: 0.4856 data_time: 0.0334 memory: 18108 grad_norm: 3.4167 loss: 4.1308 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3184 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8124 2023/02/01 16:51:06 - mmengine - INFO - Epoch(train) [118][1020/1879] lr: 6.8943e-02 eta: 1 day, 12:44:58 time: 0.5055 data_time: 0.0348 memory: 18108 grad_norm: 3.3808 loss: 4.4118 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6326 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.7792 2023/02/01 16:51:16 - mmengine - INFO - Epoch(train) [118][1040/1879] lr: 6.8936e-02 eta: 1 day, 12:44:48 time: 0.4971 data_time: 0.0409 memory: 18108 grad_norm: 3.3625 loss: 4.4240 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.5936 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.8304 2023/02/01 16:51:26 - mmengine - INFO - Epoch(train) [118][1060/1879] lr: 6.8929e-02 eta: 1 day, 12:44:37 time: 0.4939 data_time: 0.0365 memory: 18108 grad_norm: 3.2857 loss: 4.2670 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5737 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.6933 2023/02/01 16:51:36 - mmengine - INFO - Epoch(train) [118][1080/1879] lr: 6.8922e-02 eta: 1 day, 12:44:27 time: 0.4836 data_time: 0.0325 memory: 18108 grad_norm: 3.2977 loss: 4.1807 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3619 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.8188 2023/02/01 16:51:46 - mmengine - INFO - Epoch(train) [118][1100/1879] lr: 6.8915e-02 eta: 1 day, 12:44:17 time: 0.5123 data_time: 0.0421 memory: 18108 grad_norm: 3.3324 loss: 4.2151 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3907 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.8244 2023/02/01 16:51:56 - mmengine - INFO - Epoch(train) [118][1120/1879] lr: 6.8908e-02 eta: 1 day, 12:44:06 time: 0.4823 data_time: 0.0329 memory: 18108 grad_norm: 3.2544 loss: 4.2296 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4323 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.7973 2023/02/01 16:52:06 - mmengine - INFO - Epoch(train) [118][1140/1879] lr: 6.8901e-02 eta: 1 day, 12:43:55 time: 0.4950 data_time: 0.0368 memory: 18108 grad_norm: 3.3393 loss: 4.1388 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3998 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7390 2023/02/01 16:52:14 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 16:52:16 - mmengine - INFO - Epoch(train) [118][1160/1879] lr: 6.8894e-02 eta: 1 day, 12:43:45 time: 0.5027 data_time: 0.0372 memory: 18108 grad_norm: 3.3321 loss: 4.1529 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4747 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.6782 2023/02/01 16:52:26 - mmengine - INFO - Epoch(train) [118][1180/1879] lr: 6.8887e-02 eta: 1 day, 12:43:35 time: 0.5150 data_time: 0.0410 memory: 18108 grad_norm: 3.3127 loss: 4.0480 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2422 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.8058 2023/02/01 16:52:36 - mmengine - INFO - Epoch(train) [118][1200/1879] lr: 6.8880e-02 eta: 1 day, 12:43:24 time: 0.4948 data_time: 0.0323 memory: 18108 grad_norm: 3.3549 loss: 4.0320 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2771 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 1.7548 2023/02/01 16:52:46 - mmengine - INFO - Epoch(train) [118][1220/1879] lr: 6.8873e-02 eta: 1 day, 12:43:14 time: 0.4995 data_time: 0.0363 memory: 18108 grad_norm: 3.3457 loss: 4.1319 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.3890 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7428 2023/02/01 16:52:56 - mmengine - INFO - Epoch(train) [118][1240/1879] lr: 6.8866e-02 eta: 1 day, 12:43:04 time: 0.5203 data_time: 0.0402 memory: 18108 grad_norm: 3.3040 loss: 4.1581 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3753 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7828 2023/02/01 16:53:06 - mmengine - INFO - Epoch(train) [118][1260/1879] lr: 6.8859e-02 eta: 1 day, 12:42:54 time: 0.5062 data_time: 0.0364 memory: 18108 grad_norm: 3.3007 loss: 4.0698 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.2974 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.7724 2023/02/01 16:53:17 - mmengine - INFO - Epoch(train) [118][1280/1879] lr: 6.8852e-02 eta: 1 day, 12:42:44 time: 0.5058 data_time: 0.0333 memory: 18108 grad_norm: 3.4027 loss: 4.2815 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5119 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7696 2023/02/01 16:53:27 - mmengine - INFO - Epoch(train) [118][1300/1879] lr: 6.8845e-02 eta: 1 day, 12:42:34 time: 0.5162 data_time: 0.0357 memory: 18108 grad_norm: 3.4305 loss: 4.3549 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4835 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.8714 2023/02/01 16:53:37 - mmengine - INFO - Epoch(train) [118][1320/1879] lr: 6.8838e-02 eta: 1 day, 12:42:24 time: 0.5174 data_time: 0.0423 memory: 18108 grad_norm: 3.3134 loss: 4.1146 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3670 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7477 2023/02/01 16:53:48 - mmengine - INFO - Epoch(train) [118][1340/1879] lr: 6.8831e-02 eta: 1 day, 12:42:14 time: 0.5113 data_time: 0.0345 memory: 18108 grad_norm: 3.3398 loss: 4.1064 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3421 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.7643 2023/02/01 16:53:58 - mmengine - INFO - Epoch(train) [118][1360/1879] lr: 6.8824e-02 eta: 1 day, 12:42:03 time: 0.5048 data_time: 0.0339 memory: 18108 grad_norm: 3.3464 loss: 4.0413 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3482 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.6931 2023/02/01 16:54:08 - mmengine - INFO - Epoch(train) [118][1380/1879] lr: 6.8817e-02 eta: 1 day, 12:41:53 time: 0.5113 data_time: 0.0405 memory: 18108 grad_norm: 3.3353 loss: 4.3149 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5023 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.8126 2023/02/01 16:54:18 - mmengine - INFO - Epoch(train) [118][1400/1879] lr: 6.8810e-02 eta: 1 day, 12:41:43 time: 0.5010 data_time: 0.0324 memory: 18108 grad_norm: 3.3114 loss: 4.2191 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4624 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.7568 2023/02/01 16:54:28 - mmengine - INFO - Epoch(train) [118][1420/1879] lr: 6.8803e-02 eta: 1 day, 12:41:33 time: 0.5024 data_time: 0.0283 memory: 18108 grad_norm: 3.2756 loss: 4.2075 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4323 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.7752 2023/02/01 16:54:38 - mmengine - INFO - Epoch(train) [118][1440/1879] lr: 6.8796e-02 eta: 1 day, 12:41:23 time: 0.5124 data_time: 0.0398 memory: 18108 grad_norm: 3.4153 loss: 4.5394 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7752 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.7642 2023/02/01 16:54:49 - mmengine - INFO - Epoch(train) [118][1460/1879] lr: 6.8789e-02 eta: 1 day, 12:41:13 time: 0.5144 data_time: 0.0372 memory: 18108 grad_norm: 3.3056 loss: 4.3462 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5847 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7615 2023/02/01 16:54:59 - mmengine - INFO - Epoch(train) [118][1480/1879] lr: 6.8783e-02 eta: 1 day, 12:41:03 time: 0.5147 data_time: 0.0376 memory: 18108 grad_norm: 3.2879 loss: 4.5112 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6321 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8791 2023/02/01 16:55:09 - mmengine - INFO - Epoch(train) [118][1500/1879] lr: 6.8776e-02 eta: 1 day, 12:40:53 time: 0.5208 data_time: 0.0294 memory: 18108 grad_norm: 3.2906 loss: 3.9250 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2020 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.7230 2023/02/01 16:55:20 - mmengine - INFO - Epoch(train) [118][1520/1879] lr: 6.8769e-02 eta: 1 day, 12:40:43 time: 0.5184 data_time: 0.0430 memory: 18108 grad_norm: 3.3154 loss: 4.3195 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5788 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.7407 2023/02/01 16:55:30 - mmengine - INFO - Epoch(train) [118][1540/1879] lr: 6.8762e-02 eta: 1 day, 12:40:33 time: 0.5085 data_time: 0.0304 memory: 18108 grad_norm: 3.3041 loss: 4.2992 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5652 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.7340 2023/02/01 16:55:40 - mmengine - INFO - Epoch(train) [118][1560/1879] lr: 6.8755e-02 eta: 1 day, 12:40:23 time: 0.5217 data_time: 0.0395 memory: 18108 grad_norm: 3.4237 loss: 4.1910 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4728 top1_acc_1: 0.6471 top5_acc_1: 0.7647 loss_cls_1: 1.7183 2023/02/01 16:55:50 - mmengine - INFO - Epoch(train) [118][1580/1879] lr: 6.8748e-02 eta: 1 day, 12:40:12 time: 0.5035 data_time: 0.0295 memory: 18108 grad_norm: 3.3071 loss: 4.2009 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4903 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.7106 2023/02/01 16:56:01 - mmengine - INFO - Epoch(train) [118][1600/1879] lr: 6.8741e-02 eta: 1 day, 12:40:03 time: 0.5241 data_time: 0.0491 memory: 18108 grad_norm: 3.2319 loss: 4.4031 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6114 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.7917 2023/02/01 16:56:11 - mmengine - INFO - Epoch(train) [118][1620/1879] lr: 6.8734e-02 eta: 1 day, 12:39:52 time: 0.5112 data_time: 0.0290 memory: 18108 grad_norm: 3.3176 loss: 4.2853 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.4612 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.8240 2023/02/01 16:56:21 - mmengine - INFO - Epoch(train) [118][1640/1879] lr: 6.8727e-02 eta: 1 day, 12:39:42 time: 0.5072 data_time: 0.0372 memory: 18108 grad_norm: 3.2564 loss: 4.2794 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5744 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.7051 2023/02/01 16:56:32 - mmengine - INFO - Epoch(train) [118][1660/1879] lr: 6.8720e-02 eta: 1 day, 12:39:32 time: 0.5167 data_time: 0.0298 memory: 18108 grad_norm: 3.3095 loss: 4.2698 top1_acc_0: 0.3125 top5_acc_0: 0.8750 loss_cls_0: 2.4582 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.8115 2023/02/01 16:56:42 - mmengine - INFO - Epoch(train) [118][1680/1879] lr: 6.8713e-02 eta: 1 day, 12:39:22 time: 0.5071 data_time: 0.0354 memory: 18108 grad_norm: 3.2382 loss: 4.0173 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.1920 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8253 2023/02/01 16:56:52 - mmengine - INFO - Epoch(train) [118][1700/1879] lr: 6.8706e-02 eta: 1 day, 12:39:12 time: 0.5132 data_time: 0.0295 memory: 18108 grad_norm: 3.2639 loss: 4.4132 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6441 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.7691 2023/02/01 16:57:02 - mmengine - INFO - Epoch(train) [118][1720/1879] lr: 6.8699e-02 eta: 1 day, 12:39:02 time: 0.5182 data_time: 0.0440 memory: 18108 grad_norm: 3.2773 loss: 4.1386 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3809 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7576 2023/02/01 16:57:13 - mmengine - INFO - Epoch(train) [118][1740/1879] lr: 6.8692e-02 eta: 1 day, 12:38:52 time: 0.5093 data_time: 0.0290 memory: 18108 grad_norm: 3.3624 loss: 4.2565 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 2.5535 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.7029 2023/02/01 16:57:23 - mmengine - INFO - Epoch(train) [118][1760/1879] lr: 6.8685e-02 eta: 1 day, 12:38:42 time: 0.5116 data_time: 0.0369 memory: 18108 grad_norm: 3.3867 loss: 4.3556 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5130 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.8426 2023/02/01 16:57:33 - mmengine - INFO - Epoch(train) [118][1780/1879] lr: 6.8678e-02 eta: 1 day, 12:38:32 time: 0.5075 data_time: 0.0313 memory: 18108 grad_norm: 3.3011 loss: 4.1405 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3940 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7466 2023/02/01 16:57:43 - mmengine - INFO - Epoch(train) [118][1800/1879] lr: 6.8671e-02 eta: 1 day, 12:38:22 time: 0.5133 data_time: 0.0499 memory: 18108 grad_norm: 3.3281 loss: 4.3148 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5386 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.7763 2023/02/01 16:57:54 - mmengine - INFO - Epoch(train) [118][1820/1879] lr: 6.8664e-02 eta: 1 day, 12:38:12 time: 0.5192 data_time: 0.0293 memory: 18108 grad_norm: 3.3041 loss: 4.5644 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6592 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.9052 2023/02/01 16:58:04 - mmengine - INFO - Epoch(train) [118][1840/1879] lr: 6.8657e-02 eta: 1 day, 12:38:02 time: 0.5187 data_time: 0.0378 memory: 18108 grad_norm: 3.3368 loss: 4.4027 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6364 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.7663 2023/02/01 16:58:15 - mmengine - INFO - Epoch(train) [118][1860/1879] lr: 6.8650e-02 eta: 1 day, 12:37:52 time: 0.5175 data_time: 0.0463 memory: 18108 grad_norm: 3.3151 loss: 4.2960 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5952 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7008 2023/02/01 16:58:24 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 16:58:24 - mmengine - INFO - Epoch(train) [118][1879/1879] lr: 6.8643e-02 eta: 1 day, 12:37:42 time: 0.4955 data_time: 0.0362 memory: 18108 grad_norm: 3.3511 loss: 4.2189 top1_acc_0: 0.2857 top5_acc_0: 0.8571 loss_cls_0: 2.4932 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7257 2023/02/01 16:58:39 - mmengine - INFO - Epoch(train) [119][ 20/1879] lr: 6.8636e-02 eta: 1 day, 12:37:36 time: 0.7085 data_time: 0.2625 memory: 18108 grad_norm: 3.2877 loss: 4.1231 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4266 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6966 2023/02/01 16:58:48 - mmengine - INFO - Epoch(train) [119][ 40/1879] lr: 6.8629e-02 eta: 1 day, 12:37:25 time: 0.4767 data_time: 0.0310 memory: 18108 grad_norm: 3.2762 loss: 4.2263 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5391 top1_acc_1: 0.6000 top5_acc_1: 0.7412 loss_cls_1: 1.6872 2023/02/01 16:58:58 - mmengine - INFO - Epoch(train) [119][ 60/1879] lr: 6.8622e-02 eta: 1 day, 12:37:15 time: 0.4849 data_time: 0.0412 memory: 18108 grad_norm: 3.2981 loss: 4.0665 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2766 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.7899 2023/02/01 16:59:08 - mmengine - INFO - Epoch(train) [119][ 80/1879] lr: 6.8615e-02 eta: 1 day, 12:37:05 time: 0.5173 data_time: 0.0312 memory: 18108 grad_norm: 3.7024 loss: 4.1610 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4545 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7066 2023/02/01 16:59:18 - mmengine - INFO - Epoch(train) [119][ 100/1879] lr: 6.8608e-02 eta: 1 day, 12:36:54 time: 0.4824 data_time: 0.0386 memory: 18108 grad_norm: 3.4819 loss: 4.3723 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5986 top1_acc_1: 0.5882 top5_acc_1: 0.9176 loss_cls_1: 1.7737 2023/02/01 16:59:28 - mmengine - INFO - Epoch(train) [119][ 120/1879] lr: 6.8601e-02 eta: 1 day, 12:36:43 time: 0.4762 data_time: 0.0301 memory: 18108 grad_norm: 3.3503 loss: 4.3814 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6144 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.7670 2023/02/01 16:59:38 - mmengine - INFO - Epoch(train) [119][ 140/1879] lr: 6.8594e-02 eta: 1 day, 12:36:33 time: 0.5123 data_time: 0.0485 memory: 18108 grad_norm: 3.3024 loss: 4.0348 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3756 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.6591 2023/02/01 16:59:48 - mmengine - INFO - Epoch(train) [119][ 160/1879] lr: 6.8587e-02 eta: 1 day, 12:36:22 time: 0.4924 data_time: 0.0285 memory: 18108 grad_norm: 3.3231 loss: 4.1811 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4051 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7760 2023/02/01 16:59:58 - mmengine - INFO - Epoch(train) [119][ 180/1879] lr: 6.8580e-02 eta: 1 day, 12:36:12 time: 0.4874 data_time: 0.0405 memory: 18108 grad_norm: 3.3450 loss: 4.0043 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3530 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.6514 2023/02/01 17:00:07 - mmengine - INFO - Epoch(train) [119][ 200/1879] lr: 6.8573e-02 eta: 1 day, 12:36:01 time: 0.4821 data_time: 0.0299 memory: 18108 grad_norm: 3.3135 loss: 4.3994 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.6036 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.7958 2023/02/01 17:00:17 - mmengine - INFO - Epoch(train) [119][ 220/1879] lr: 6.8566e-02 eta: 1 day, 12:35:51 time: 0.5142 data_time: 0.0462 memory: 18108 grad_norm: 3.3093 loss: 4.1619 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3910 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.7709 2023/02/01 17:00:27 - mmengine - INFO - Epoch(train) [119][ 240/1879] lr: 6.8559e-02 eta: 1 day, 12:35:40 time: 0.4741 data_time: 0.0307 memory: 18108 grad_norm: 3.2743 loss: 4.1101 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4215 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.6886 2023/02/01 17:00:37 - mmengine - INFO - Epoch(train) [119][ 260/1879] lr: 6.8552e-02 eta: 1 day, 12:35:29 time: 0.4861 data_time: 0.0374 memory: 18108 grad_norm: 3.2057 loss: 4.1823 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.4454 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.7369 2023/02/01 17:00:46 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 17:00:47 - mmengine - INFO - Epoch(train) [119][ 280/1879] lr: 6.8545e-02 eta: 1 day, 12:35:19 time: 0.5024 data_time: 0.0395 memory: 18108 grad_norm: 3.3129 loss: 4.0303 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2512 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.7791 2023/02/01 17:00:57 - mmengine - INFO - Epoch(train) [119][ 300/1879] lr: 6.8538e-02 eta: 1 day, 12:35:09 time: 0.5042 data_time: 0.0381 memory: 18108 grad_norm: 3.3313 loss: 4.1458 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3949 top1_acc_1: 0.5647 top5_acc_1: 0.7176 loss_cls_1: 1.7509 2023/02/01 17:01:06 - mmengine - INFO - Epoch(train) [119][ 320/1879] lr: 6.8531e-02 eta: 1 day, 12:34:58 time: 0.4749 data_time: 0.0303 memory: 18108 grad_norm: 3.3388 loss: 4.2136 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5513 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6623 2023/02/01 17:01:17 - mmengine - INFO - Epoch(train) [119][ 340/1879] lr: 6.8524e-02 eta: 1 day, 12:34:47 time: 0.5080 data_time: 0.0468 memory: 18108 grad_norm: 3.3349 loss: 4.3101 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6237 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.6863 2023/02/01 17:01:27 - mmengine - INFO - Epoch(train) [119][ 360/1879] lr: 6.8517e-02 eta: 1 day, 12:34:37 time: 0.4976 data_time: 0.0296 memory: 18108 grad_norm: 3.3241 loss: 4.0834 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.2984 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.7850 2023/02/01 17:01:36 - mmengine - INFO - Epoch(train) [119][ 380/1879] lr: 6.8510e-02 eta: 1 day, 12:34:26 time: 0.4913 data_time: 0.0365 memory: 18108 grad_norm: 3.3970 loss: 4.1642 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5055 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.6587 2023/02/01 17:01:46 - mmengine - INFO - Epoch(train) [119][ 400/1879] lr: 6.8503e-02 eta: 1 day, 12:34:16 time: 0.4763 data_time: 0.0298 memory: 18108 grad_norm: 3.3135 loss: 3.8501 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.1567 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6934 2023/02/01 17:01:56 - mmengine - INFO - Epoch(train) [119][ 420/1879] lr: 6.8496e-02 eta: 1 day, 12:34:05 time: 0.5061 data_time: 0.0435 memory: 18108 grad_norm: 3.2782 loss: 4.3080 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5750 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.7330 2023/02/01 17:02:06 - mmengine - INFO - Epoch(train) [119][ 440/1879] lr: 6.8489e-02 eta: 1 day, 12:33:55 time: 0.4926 data_time: 0.0293 memory: 18108 grad_norm: 3.3209 loss: 4.1463 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4000 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.7464 2023/02/01 17:02:16 - mmengine - INFO - Epoch(train) [119][ 460/1879] lr: 6.8482e-02 eta: 1 day, 12:33:44 time: 0.4980 data_time: 0.0380 memory: 18108 grad_norm: 3.4203 loss: 4.0973 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2942 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.8031 2023/02/01 17:02:26 - mmengine - INFO - Epoch(train) [119][ 480/1879] lr: 6.8475e-02 eta: 1 day, 12:33:34 time: 0.4841 data_time: 0.0298 memory: 18108 grad_norm: 3.3429 loss: 4.0017 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3163 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6854 2023/02/01 17:02:36 - mmengine - INFO - Epoch(train) [119][ 500/1879] lr: 6.8468e-02 eta: 1 day, 12:33:23 time: 0.5082 data_time: 0.0448 memory: 18108 grad_norm: 3.3114 loss: 4.1825 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.5150 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.6675 2023/02/01 17:02:46 - mmengine - INFO - Epoch(train) [119][ 520/1879] lr: 6.8461e-02 eta: 1 day, 12:33:13 time: 0.4896 data_time: 0.0294 memory: 18108 grad_norm: 3.3913 loss: 3.9394 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3227 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.6168 2023/02/01 17:02:55 - mmengine - INFO - Epoch(train) [119][ 540/1879] lr: 6.8454e-02 eta: 1 day, 12:33:02 time: 0.4921 data_time: 0.0371 memory: 18108 grad_norm: 3.2764 loss: 4.1026 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3838 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.7187 2023/02/01 17:03:06 - mmengine - INFO - Epoch(train) [119][ 560/1879] lr: 6.8447e-02 eta: 1 day, 12:32:52 time: 0.5068 data_time: 0.0378 memory: 18108 grad_norm: 3.3279 loss: 4.3264 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6026 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.7239 2023/02/01 17:03:16 - mmengine - INFO - Epoch(train) [119][ 580/1879] lr: 6.8440e-02 eta: 1 day, 12:32:42 time: 0.4980 data_time: 0.0388 memory: 18108 grad_norm: 3.3012 loss: 4.2090 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4488 top1_acc_1: 0.4824 top5_acc_1: 0.6706 loss_cls_1: 1.7602 2023/02/01 17:03:26 - mmengine - INFO - Epoch(train) [119][ 600/1879] lr: 6.8433e-02 eta: 1 day, 12:32:31 time: 0.4982 data_time: 0.0316 memory: 18108 grad_norm: 3.2447 loss: 4.4477 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6206 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.8271 2023/02/01 17:03:36 - mmengine - INFO - Epoch(train) [119][ 620/1879] lr: 6.8426e-02 eta: 1 day, 12:32:21 time: 0.5031 data_time: 0.0442 memory: 18108 grad_norm: 3.3129 loss: 4.1460 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3663 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.7798 2023/02/01 17:03:46 - mmengine - INFO - Epoch(train) [119][ 640/1879] lr: 6.8419e-02 eta: 1 day, 12:32:10 time: 0.4953 data_time: 0.0287 memory: 18108 grad_norm: 3.3390 loss: 4.0267 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4367 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.5901 2023/02/01 17:03:56 - mmengine - INFO - Epoch(train) [119][ 660/1879] lr: 6.8412e-02 eta: 1 day, 12:32:00 time: 0.5014 data_time: 0.0373 memory: 18108 grad_norm: 3.3226 loss: 3.9017 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2229 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.6788 2023/02/01 17:04:06 - mmengine - INFO - Epoch(train) [119][ 680/1879] lr: 6.8405e-02 eta: 1 day, 12:31:50 time: 0.5018 data_time: 0.0293 memory: 18108 grad_norm: 3.3461 loss: 4.0204 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3376 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6828 2023/02/01 17:04:16 - mmengine - INFO - Epoch(train) [119][ 700/1879] lr: 6.8398e-02 eta: 1 day, 12:31:40 time: 0.5079 data_time: 0.0462 memory: 18108 grad_norm: 3.3491 loss: 4.3044 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.6020 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.7024 2023/02/01 17:04:25 - mmengine - INFO - Epoch(train) [119][ 720/1879] lr: 6.8391e-02 eta: 1 day, 12:31:29 time: 0.4819 data_time: 0.0298 memory: 18108 grad_norm: 3.3354 loss: 4.2672 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4399 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8274 2023/02/01 17:04:35 - mmengine - INFO - Epoch(train) [119][ 740/1879] lr: 6.8384e-02 eta: 1 day, 12:31:18 time: 0.5004 data_time: 0.0383 memory: 18108 grad_norm: 3.3482 loss: 4.3760 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.5712 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8047 2023/02/01 17:04:45 - mmengine - INFO - Epoch(train) [119][ 760/1879] lr: 6.8377e-02 eta: 1 day, 12:31:08 time: 0.5014 data_time: 0.0384 memory: 18108 grad_norm: 3.3043 loss: 4.3935 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6423 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.7512 2023/02/01 17:04:55 - mmengine - INFO - Epoch(train) [119][ 780/1879] lr: 6.8370e-02 eta: 1 day, 12:30:58 time: 0.4972 data_time: 0.0393 memory: 18108 grad_norm: 3.2815 loss: 4.0491 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.3947 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.6544 2023/02/01 17:05:05 - mmengine - INFO - Epoch(train) [119][ 800/1879] lr: 6.8363e-02 eta: 1 day, 12:30:47 time: 0.4834 data_time: 0.0305 memory: 18108 grad_norm: 3.3787 loss: 4.2386 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4708 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7678 2023/02/01 17:05:15 - mmengine - INFO - Epoch(train) [119][ 820/1879] lr: 6.8356e-02 eta: 1 day, 12:30:37 time: 0.5076 data_time: 0.0458 memory: 18108 grad_norm: 3.3773 loss: 3.9681 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2779 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.6902 2023/02/01 17:05:25 - mmengine - INFO - Epoch(train) [119][ 840/1879] lr: 6.8349e-02 eta: 1 day, 12:30:26 time: 0.4935 data_time: 0.0310 memory: 18108 grad_norm: 3.2523 loss: 4.1954 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3815 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.8139 2023/02/01 17:05:35 - mmengine - INFO - Epoch(train) [119][ 860/1879] lr: 6.8342e-02 eta: 1 day, 12:30:16 time: 0.4957 data_time: 0.0376 memory: 18108 grad_norm: 3.3085 loss: 4.1174 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3041 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8133 2023/02/01 17:05:45 - mmengine - INFO - Epoch(train) [119][ 880/1879] lr: 6.8335e-02 eta: 1 day, 12:30:05 time: 0.4960 data_time: 0.0311 memory: 18108 grad_norm: 3.3644 loss: 4.1956 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.3991 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.7965 2023/02/01 17:05:55 - mmengine - INFO - Epoch(train) [119][ 900/1879] lr: 6.8328e-02 eta: 1 day, 12:29:55 time: 0.5069 data_time: 0.0470 memory: 18108 grad_norm: 3.3093 loss: 4.2321 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4889 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.7431 2023/02/01 17:06:05 - mmengine - INFO - Epoch(train) [119][ 920/1879] lr: 6.8321e-02 eta: 1 day, 12:29:45 time: 0.4982 data_time: 0.0306 memory: 18108 grad_norm: 3.2980 loss: 4.2525 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5260 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.7265 2023/02/01 17:06:15 - mmengine - INFO - Epoch(train) [119][ 940/1879] lr: 6.8314e-02 eta: 1 day, 12:29:35 time: 0.5134 data_time: 0.0392 memory: 18108 grad_norm: 3.3548 loss: 4.1761 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4351 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.7410 2023/02/01 17:06:25 - mmengine - INFO - Epoch(train) [119][ 960/1879] lr: 6.8307e-02 eta: 1 day, 12:29:24 time: 0.5010 data_time: 0.0367 memory: 18108 grad_norm: 3.3565 loss: 4.2258 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5705 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.6553 2023/02/01 17:06:36 - mmengine - INFO - Epoch(train) [119][ 980/1879] lr: 6.8300e-02 eta: 1 day, 12:29:14 time: 0.5151 data_time: 0.0385 memory: 18108 grad_norm: 3.3094 loss: 4.2389 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4726 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7663 2023/02/01 17:06:46 - mmengine - INFO - Epoch(train) [119][1000/1879] lr: 6.8293e-02 eta: 1 day, 12:29:04 time: 0.5120 data_time: 0.0300 memory: 18108 grad_norm: 3.3332 loss: 4.0550 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3684 top1_acc_1: 0.6824 top5_acc_1: 0.8118 loss_cls_1: 1.6866 2023/02/01 17:06:56 - mmengine - INFO - Epoch(train) [119][1020/1879] lr: 6.8286e-02 eta: 1 day, 12:28:54 time: 0.5095 data_time: 0.0464 memory: 18108 grad_norm: 3.2668 loss: 4.1438 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.3648 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.7790 2023/02/01 17:08:51 - mmengine - INFO - Epoch(train) [119][1040/1879] lr: 6.8279e-02 eta: 1 day, 12:30:45 time: 5.7233 data_time: 0.0305 memory: 18108 grad_norm: 3.3508 loss: 4.3200 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5231 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7969 2023/02/01 17:09:01 - mmengine - INFO - Epoch(train) [119][1060/1879] lr: 6.8272e-02 eta: 1 day, 12:30:35 time: 0.5144 data_time: 0.0393 memory: 18108 grad_norm: 3.3329 loss: 4.3339 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4965 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8374 2023/02/01 17:09:11 - mmengine - INFO - Epoch(train) [119][1080/1879] lr: 6.8265e-02 eta: 1 day, 12:30:24 time: 0.4994 data_time: 0.0305 memory: 18108 grad_norm: 3.2797 loss: 4.2244 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5528 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.6716 2023/02/01 17:09:21 - mmengine - INFO - Epoch(train) [119][1100/1879] lr: 6.8258e-02 eta: 1 day, 12:30:14 time: 0.5168 data_time: 0.0453 memory: 18108 grad_norm: 3.3256 loss: 3.9471 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1974 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.7497 2023/02/01 17:09:32 - mmengine - INFO - Epoch(train) [119][1120/1879] lr: 6.8251e-02 eta: 1 day, 12:30:04 time: 0.5113 data_time: 0.0306 memory: 18108 grad_norm: 3.3210 loss: 4.0270 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1888 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.8383 2023/02/01 17:09:42 - mmengine - INFO - Epoch(train) [119][1140/1879] lr: 6.8244e-02 eta: 1 day, 12:29:54 time: 0.5068 data_time: 0.0386 memory: 18108 grad_norm: 3.3365 loss: 4.0885 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3274 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.7611 2023/02/01 17:09:52 - mmengine - INFO - Epoch(train) [119][1160/1879] lr: 6.8237e-02 eta: 1 day, 12:29:43 time: 0.4935 data_time: 0.0370 memory: 18108 grad_norm: 3.2812 loss: 4.1508 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.2639 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.8870 2023/02/01 17:10:02 - mmengine - INFO - Epoch(train) [119][1180/1879] lr: 6.8230e-02 eta: 1 day, 12:29:34 time: 0.5188 data_time: 0.0402 memory: 18108 grad_norm: 3.3385 loss: 4.2090 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4459 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.7631 2023/02/01 17:10:12 - mmengine - INFO - Epoch(train) [119][1200/1879] lr: 6.8223e-02 eta: 1 day, 12:29:23 time: 0.5038 data_time: 0.0313 memory: 18108 grad_norm: 3.3129 loss: 4.1408 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3952 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.7456 2023/02/01 17:10:22 - mmengine - INFO - Epoch(train) [119][1220/1879] lr: 6.8216e-02 eta: 1 day, 12:29:13 time: 0.5003 data_time: 0.0385 memory: 18108 grad_norm: 3.3383 loss: 4.0910 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.2898 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.8011 2023/02/01 17:10:32 - mmengine - INFO - Epoch(train) [119][1240/1879] lr: 6.8209e-02 eta: 1 day, 12:29:02 time: 0.4993 data_time: 0.0370 memory: 18108 grad_norm: 3.3391 loss: 4.0968 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3810 top1_acc_1: 0.5294 top5_acc_1: 0.8588 loss_cls_1: 1.7158 2023/02/01 17:10:42 - mmengine - INFO - Epoch(train) [119][1260/1879] lr: 6.8202e-02 eta: 1 day, 12:28:52 time: 0.5136 data_time: 0.0372 memory: 18108 grad_norm: 3.3227 loss: 4.5283 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6841 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.8442 2023/02/01 17:10:51 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 17:10:52 - mmengine - INFO - Epoch(train) [119][1280/1879] lr: 6.8195e-02 eta: 1 day, 12:28:42 time: 0.4915 data_time: 0.0324 memory: 18108 grad_norm: 3.3301 loss: 4.2576 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5008 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.7568 2023/02/01 17:11:02 - mmengine - INFO - Epoch(train) [119][1300/1879] lr: 6.8188e-02 eta: 1 day, 12:28:32 time: 0.5048 data_time: 0.0455 memory: 18108 grad_norm: 3.3170 loss: 4.1694 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3862 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.7832 2023/02/01 17:11:13 - mmengine - INFO - Epoch(train) [119][1320/1879] lr: 6.8181e-02 eta: 1 day, 12:28:21 time: 0.5113 data_time: 0.0325 memory: 18108 grad_norm: 3.4024 loss: 4.1591 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3880 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7710 2023/02/01 17:11:23 - mmengine - INFO - Epoch(train) [119][1340/1879] lr: 6.8174e-02 eta: 1 day, 12:28:11 time: 0.5082 data_time: 0.0417 memory: 18108 grad_norm: 3.3866 loss: 3.9715 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.1909 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.7807 2023/02/01 17:11:33 - mmengine - INFO - Epoch(train) [119][1360/1879] lr: 6.8167e-02 eta: 1 day, 12:28:01 time: 0.5036 data_time: 0.0372 memory: 18108 grad_norm: 3.3605 loss: 4.2266 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4292 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.7974 2023/02/01 17:11:44 - mmengine - INFO - Epoch(train) [119][1380/1879] lr: 6.8160e-02 eta: 1 day, 12:27:51 time: 0.5285 data_time: 0.0370 memory: 18108 grad_norm: 3.3651 loss: 4.0264 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3862 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.6402 2023/02/01 17:11:54 - mmengine - INFO - Epoch(train) [119][1400/1879] lr: 6.8153e-02 eta: 1 day, 12:27:41 time: 0.5003 data_time: 0.0307 memory: 18108 grad_norm: 3.4489 loss: 4.2577 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5117 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.7460 2023/02/01 17:12:04 - mmengine - INFO - Epoch(train) [119][1420/1879] lr: 6.8146e-02 eta: 1 day, 12:27:30 time: 0.5045 data_time: 0.0373 memory: 18108 grad_norm: 3.3267 loss: 4.1945 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.3948 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.7997 2023/02/01 17:12:14 - mmengine - INFO - Epoch(train) [119][1440/1879] lr: 6.8139e-02 eta: 1 day, 12:27:20 time: 0.5103 data_time: 0.0387 memory: 18108 grad_norm: 3.3416 loss: 4.3222 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4894 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.8327 2023/02/01 17:12:24 - mmengine - INFO - Epoch(train) [119][1460/1879] lr: 6.8132e-02 eta: 1 day, 12:27:11 time: 0.5233 data_time: 0.0368 memory: 18108 grad_norm: 3.3417 loss: 4.2157 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4341 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.7816 2023/02/01 17:12:34 - mmengine - INFO - Epoch(train) [119][1480/1879] lr: 6.8125e-02 eta: 1 day, 12:27:00 time: 0.4956 data_time: 0.0295 memory: 18108 grad_norm: 3.3966 loss: 4.5163 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6573 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.8590 2023/02/01 17:12:45 - mmengine - INFO - Epoch(train) [119][1500/1879] lr: 6.8118e-02 eta: 1 day, 12:26:50 time: 0.5157 data_time: 0.0447 memory: 18108 grad_norm: 3.3301 loss: 4.3907 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6664 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.7243 2023/02/01 17:12:55 - mmengine - INFO - Epoch(train) [119][1520/1879] lr: 6.8111e-02 eta: 1 day, 12:26:40 time: 0.5221 data_time: 0.0305 memory: 18108 grad_norm: 3.3194 loss: 4.0935 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2976 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7959 2023/02/01 17:13:06 - mmengine - INFO - Epoch(train) [119][1540/1879] lr: 6.8104e-02 eta: 1 day, 12:26:30 time: 0.5218 data_time: 0.0385 memory: 18108 grad_norm: 3.3661 loss: 4.5756 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.7533 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.8224 2023/02/01 17:13:16 - mmengine - INFO - Epoch(train) [119][1560/1879] lr: 6.8097e-02 eta: 1 day, 12:26:20 time: 0.5025 data_time: 0.0311 memory: 18108 grad_norm: 3.3094 loss: 4.0490 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3282 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7208 2023/02/01 17:13:26 - mmengine - INFO - Epoch(train) [119][1580/1879] lr: 6.8090e-02 eta: 1 day, 12:26:10 time: 0.5329 data_time: 0.0436 memory: 18108 grad_norm: 3.3070 loss: 3.9466 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1513 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7953 2023/02/01 17:13:36 - mmengine - INFO - Epoch(train) [119][1600/1879] lr: 6.8083e-02 eta: 1 day, 12:26:00 time: 0.4977 data_time: 0.0311 memory: 18108 grad_norm: 3.3180 loss: 4.4329 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6792 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.7536 2023/02/01 17:13:47 - mmengine - INFO - Epoch(train) [119][1620/1879] lr: 6.8076e-02 eta: 1 day, 12:25:50 time: 0.5214 data_time: 0.0381 memory: 18108 grad_norm: 3.3573 loss: 3.9961 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1696 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.8265 2023/02/01 17:13:57 - mmengine - INFO - Epoch(train) [119][1640/1879] lr: 6.8069e-02 eta: 1 day, 12:25:40 time: 0.5229 data_time: 0.0365 memory: 18108 grad_norm: 3.3601 loss: 4.2209 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4758 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.7451 2023/02/01 17:14:08 - mmengine - INFO - Epoch(train) [119][1660/1879] lr: 6.8062e-02 eta: 1 day, 12:25:30 time: 0.5265 data_time: 0.0365 memory: 18108 grad_norm: 3.2630 loss: 4.2051 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4181 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 1.7870 2023/02/01 17:14:18 - mmengine - INFO - Epoch(train) [119][1680/1879] lr: 6.8055e-02 eta: 1 day, 12:25:20 time: 0.5153 data_time: 0.0310 memory: 18108 grad_norm: 3.2733 loss: 4.1669 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4007 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.7662 2023/02/01 17:14:29 - mmengine - INFO - Epoch(train) [119][1700/1879] lr: 6.8048e-02 eta: 1 day, 12:25:11 time: 0.5384 data_time: 0.0446 memory: 18108 grad_norm: 3.3165 loss: 4.4003 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5965 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 1.8038 2023/02/01 17:14:39 - mmengine - INFO - Epoch(train) [119][1720/1879] lr: 6.8041e-02 eta: 1 day, 12:25:01 time: 0.5140 data_time: 0.0289 memory: 18108 grad_norm: 3.2977 loss: 4.0741 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.3145 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.7596 2023/02/01 17:14:49 - mmengine - INFO - Epoch(train) [119][1740/1879] lr: 6.8034e-02 eta: 1 day, 12:24:51 time: 0.5146 data_time: 0.0370 memory: 18108 grad_norm: 3.3432 loss: 4.2941 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5247 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.7693 2023/02/01 17:15:00 - mmengine - INFO - Epoch(train) [119][1760/1879] lr: 6.8027e-02 eta: 1 day, 12:24:41 time: 0.5130 data_time: 0.0296 memory: 18108 grad_norm: 3.3153 loss: 4.2567 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.5007 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.7559 2023/02/01 17:15:10 - mmengine - INFO - Epoch(train) [119][1780/1879] lr: 6.8020e-02 eta: 1 day, 12:24:31 time: 0.5282 data_time: 0.0373 memory: 18108 grad_norm: 3.2750 loss: 4.2336 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5753 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.6583 2023/02/01 17:15:20 - mmengine - INFO - Epoch(train) [119][1800/1879] lr: 6.8013e-02 eta: 1 day, 12:24:20 time: 0.4936 data_time: 0.0300 memory: 18108 grad_norm: 3.3560 loss: 4.3676 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6795 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.6881 2023/02/01 17:15:31 - mmengine - INFO - Epoch(train) [119][1820/1879] lr: 6.8006e-02 eta: 1 day, 12:24:10 time: 0.5231 data_time: 0.0373 memory: 18108 grad_norm: 3.3120 loss: 3.9807 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1831 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.7975 2023/02/01 17:15:41 - mmengine - INFO - Epoch(train) [119][1840/1879] lr: 6.7998e-02 eta: 1 day, 12:24:00 time: 0.5184 data_time: 0.0385 memory: 18108 grad_norm: 3.3414 loss: 4.2777 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4886 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.7892 2023/02/01 17:15:51 - mmengine - INFO - Epoch(train) [119][1860/1879] lr: 6.7991e-02 eta: 1 day, 12:23:50 time: 0.5145 data_time: 0.0371 memory: 18108 grad_norm: 3.3107 loss: 4.3217 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4573 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8643 2023/02/01 17:16:00 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 17:16:00 - mmengine - INFO - Epoch(train) [119][1879/1879] lr: 6.7985e-02 eta: 1 day, 12:23:40 time: 0.4790 data_time: 0.0333 memory: 18108 grad_norm: 3.3593 loss: 4.0777 top1_acc_0: 0.4286 top5_acc_0: 0.5714 loss_cls_0: 2.3158 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7619 2023/02/01 17:16:15 - mmengine - INFO - Epoch(train) [120][ 20/1879] lr: 6.7978e-02 eta: 1 day, 12:23:35 time: 0.7117 data_time: 0.2467 memory: 18108 grad_norm: 3.2561 loss: 3.9342 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2665 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.6678 2023/02/01 17:16:25 - mmengine - INFO - Epoch(train) [120][ 40/1879] lr: 6.7971e-02 eta: 1 day, 12:23:24 time: 0.4756 data_time: 0.0304 memory: 18108 grad_norm: 3.2993 loss: 3.8681 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2293 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.6388 2023/02/01 17:16:35 - mmengine - INFO - Epoch(train) [120][ 60/1879] lr: 6.7964e-02 eta: 1 day, 12:23:13 time: 0.4867 data_time: 0.0373 memory: 18108 grad_norm: 3.2565 loss: 3.7376 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0559 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6817 2023/02/01 17:16:45 - mmengine - INFO - Epoch(train) [120][ 80/1879] lr: 6.7957e-02 eta: 1 day, 12:23:03 time: 0.5199 data_time: 0.0391 memory: 18108 grad_norm: 3.3211 loss: 4.0716 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3447 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7269 2023/02/01 17:16:55 - mmengine - INFO - Epoch(train) [120][ 100/1879] lr: 6.7950e-02 eta: 1 day, 12:22:52 time: 0.4868 data_time: 0.0368 memory: 18108 grad_norm: 3.3169 loss: 3.9513 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3025 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.6487 2023/02/01 17:17:04 - mmengine - INFO - Epoch(train) [120][ 120/1879] lr: 6.7943e-02 eta: 1 day, 12:22:41 time: 0.4778 data_time: 0.0311 memory: 18108 grad_norm: 3.4284 loss: 4.2714 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6092 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.6621 2023/02/01 17:17:14 - mmengine - INFO - Epoch(train) [120][ 140/1879] lr: 6.7936e-02 eta: 1 day, 12:22:31 time: 0.5088 data_time: 0.0371 memory: 18108 grad_norm: 3.3552 loss: 4.1428 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.4247 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7182 2023/02/01 17:17:24 - mmengine - INFO - Epoch(train) [120][ 160/1879] lr: 6.7929e-02 eta: 1 day, 12:22:21 time: 0.4938 data_time: 0.0389 memory: 18108 grad_norm: 3.3535 loss: 4.0176 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3460 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.6716 2023/02/01 17:17:34 - mmengine - INFO - Epoch(train) [120][ 180/1879] lr: 6.7922e-02 eta: 1 day, 12:22:10 time: 0.4876 data_time: 0.0383 memory: 18108 grad_norm: 3.2182 loss: 3.9391 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3327 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.6064 2023/02/01 17:17:44 - mmengine - INFO - Epoch(train) [120][ 200/1879] lr: 6.7914e-02 eta: 1 day, 12:21:59 time: 0.4902 data_time: 0.0304 memory: 18108 grad_norm: 3.3564 loss: 4.3764 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6598 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7166 2023/02/01 17:17:54 - mmengine - INFO - Epoch(train) [120][ 220/1879] lr: 6.7907e-02 eta: 1 day, 12:21:50 time: 0.5247 data_time: 0.0376 memory: 18108 grad_norm: 3.4456 loss: 4.0832 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.3444 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.7387 2023/02/01 17:18:04 - mmengine - INFO - Epoch(train) [120][ 240/1879] lr: 6.7900e-02 eta: 1 day, 12:21:39 time: 0.4782 data_time: 0.0323 memory: 18108 grad_norm: 3.3533 loss: 3.9519 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.3215 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.6304 2023/02/01 17:18:14 - mmengine - INFO - Epoch(train) [120][ 260/1879] lr: 6.7893e-02 eta: 1 day, 12:21:28 time: 0.4897 data_time: 0.0363 memory: 18108 grad_norm: 3.3227 loss: 3.9650 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2450 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.7200 2023/02/01 17:18:24 - mmengine - INFO - Epoch(train) [120][ 280/1879] lr: 6.7886e-02 eta: 1 day, 12:21:18 time: 0.5009 data_time: 0.0324 memory: 18108 grad_norm: 3.3768 loss: 4.0863 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.3466 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.7397 2023/02/01 17:18:34 - mmengine - INFO - Epoch(train) [120][ 300/1879] lr: 6.7879e-02 eta: 1 day, 12:21:08 time: 0.5233 data_time: 0.0400 memory: 18108 grad_norm: 3.3519 loss: 4.1050 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4319 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.6731 2023/02/01 17:18:44 - mmengine - INFO - Epoch(train) [120][ 320/1879] lr: 6.7872e-02 eta: 1 day, 12:20:57 time: 0.4840 data_time: 0.0313 memory: 18108 grad_norm: 3.3196 loss: 4.0813 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3876 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 1.6938 2023/02/01 17:18:54 - mmengine - INFO - Epoch(train) [120][ 340/1879] lr: 6.7865e-02 eta: 1 day, 12:20:47 time: 0.5121 data_time: 0.0365 memory: 18108 grad_norm: 3.3085 loss: 3.9854 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2447 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.7406 2023/02/01 17:19:04 - mmengine - INFO - Epoch(train) [120][ 360/1879] lr: 6.7858e-02 eta: 1 day, 12:20:37 time: 0.5054 data_time: 0.0307 memory: 18108 grad_norm: 3.2723 loss: 4.2634 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.4346 top1_acc_1: 0.4471 top5_acc_1: 0.7529 loss_cls_1: 1.8289 2023/02/01 17:19:15 - mmengine - INFO - Epoch(train) [120][ 380/1879] lr: 6.7851e-02 eta: 1 day, 12:20:27 time: 0.5203 data_time: 0.0437 memory: 18108 grad_norm: 3.4107 loss: 3.9564 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.3456 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.6107 2023/02/01 17:19:24 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 17:19:25 - mmengine - INFO - Epoch(train) [120][ 400/1879] lr: 6.7844e-02 eta: 1 day, 12:20:16 time: 0.5013 data_time: 0.0321 memory: 18108 grad_norm: 3.3957 loss: 4.2280 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5966 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6314 2023/02/01 17:19:35 - mmengine - INFO - Epoch(train) [120][ 420/1879] lr: 6.7837e-02 eta: 1 day, 12:20:06 time: 0.5135 data_time: 0.0382 memory: 18108 grad_norm: 3.3558 loss: 4.0074 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.3145 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.6929 2023/02/01 17:19:45 - mmengine - INFO - Epoch(train) [120][ 440/1879] lr: 6.7830e-02 eta: 1 day, 12:19:56 time: 0.4983 data_time: 0.0304 memory: 18108 grad_norm: 3.3462 loss: 3.9954 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2750 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.7204 2023/02/01 17:19:55 - mmengine - INFO - Epoch(train) [120][ 460/1879] lr: 6.7823e-02 eta: 1 day, 12:19:46 time: 0.5149 data_time: 0.0446 memory: 18108 grad_norm: 3.3451 loss: 4.1000 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2647 top1_acc_1: 0.4824 top5_acc_1: 0.7647 loss_cls_1: 1.8353 2023/02/01 17:20:05 - mmengine - INFO - Epoch(train) [120][ 480/1879] lr: 6.7816e-02 eta: 1 day, 12:19:35 time: 0.4995 data_time: 0.0330 memory: 18108 grad_norm: 3.3028 loss: 4.1362 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.5016 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.6347 2023/02/01 17:20:16 - mmengine - INFO - Epoch(train) [120][ 500/1879] lr: 6.7809e-02 eta: 1 day, 12:19:26 time: 0.5222 data_time: 0.0396 memory: 18108 grad_norm: 3.3550 loss: 4.2462 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5717 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.6745 2023/02/01 17:20:26 - mmengine - INFO - Epoch(train) [120][ 520/1879] lr: 6.7802e-02 eta: 1 day, 12:19:15 time: 0.4923 data_time: 0.0293 memory: 18108 grad_norm: 3.3256 loss: 4.1681 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3810 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.7871 2023/02/01 17:20:36 - mmengine - INFO - Epoch(train) [120][ 540/1879] lr: 6.7795e-02 eta: 1 day, 12:19:05 time: 0.5155 data_time: 0.0465 memory: 18108 grad_norm: 3.3306 loss: 4.2099 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4979 top1_acc_1: 0.6706 top5_acc_1: 0.9294 loss_cls_1: 1.7120 2023/02/01 17:20:46 - mmengine - INFO - Epoch(train) [120][ 560/1879] lr: 6.7788e-02 eta: 1 day, 12:18:55 time: 0.5063 data_time: 0.0304 memory: 18108 grad_norm: 3.2888 loss: 4.2400 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5057 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.7343 2023/02/01 17:20:56 - mmengine - INFO - Epoch(train) [120][ 580/1879] lr: 6.7781e-02 eta: 1 day, 12:18:45 time: 0.5107 data_time: 0.0377 memory: 18108 grad_norm: 3.3441 loss: 4.1769 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4862 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.6906 2023/02/01 17:21:06 - mmengine - INFO - Epoch(train) [120][ 600/1879] lr: 6.7774e-02 eta: 1 day, 12:18:34 time: 0.4963 data_time: 0.0391 memory: 18108 grad_norm: 3.3655 loss: 4.3714 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.5573 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.8141 2023/02/01 17:21:17 - mmengine - INFO - Epoch(train) [120][ 620/1879] lr: 6.7767e-02 eta: 1 day, 12:18:24 time: 0.5171 data_time: 0.0372 memory: 18108 grad_norm: 3.3724 loss: 4.0894 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3233 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.7661 2023/02/01 17:21:27 - mmengine - INFO - Epoch(train) [120][ 640/1879] lr: 6.7760e-02 eta: 1 day, 12:18:14 time: 0.4977 data_time: 0.0306 memory: 18108 grad_norm: 3.3001 loss: 4.2678 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.5578 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.7100 2023/02/01 17:21:37 - mmengine - INFO - Epoch(train) [120][ 660/1879] lr: 6.7753e-02 eta: 1 day, 12:18:04 time: 0.5102 data_time: 0.0396 memory: 18108 grad_norm: 3.3059 loss: 4.0117 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.3381 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.6736 2023/02/01 17:21:47 - mmengine - INFO - Epoch(train) [120][ 680/1879] lr: 6.7746e-02 eta: 1 day, 12:17:53 time: 0.5007 data_time: 0.0321 memory: 18108 grad_norm: 3.3055 loss: 4.1746 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4370 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.7377 2023/02/01 17:21:57 - mmengine - INFO - Epoch(train) [120][ 700/1879] lr: 6.7739e-02 eta: 1 day, 12:17:43 time: 0.5203 data_time: 0.0366 memory: 18108 grad_norm: 3.3118 loss: 4.1005 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3783 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.7223 2023/02/01 17:22:07 - mmengine - INFO - Epoch(train) [120][ 720/1879] lr: 6.7732e-02 eta: 1 day, 12:17:33 time: 0.4916 data_time: 0.0331 memory: 18108 grad_norm: 3.4076 loss: 4.2951 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5873 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7078 2023/02/01 17:22:17 - mmengine - INFO - Epoch(train) [120][ 740/1879] lr: 6.7725e-02 eta: 1 day, 12:17:23 time: 0.5102 data_time: 0.0381 memory: 18108 grad_norm: 3.3450 loss: 4.2515 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.5288 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.7227 2023/02/01 17:22:28 - mmengine - INFO - Epoch(train) [120][ 760/1879] lr: 6.7717e-02 eta: 1 day, 12:17:12 time: 0.5108 data_time: 0.0363 memory: 18108 grad_norm: 3.3240 loss: 3.9949 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2503 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7446 2023/02/01 17:22:38 - mmengine - INFO - Epoch(train) [120][ 780/1879] lr: 6.7710e-02 eta: 1 day, 12:17:03 time: 0.5231 data_time: 0.0355 memory: 18108 grad_norm: 3.3531 loss: 4.2633 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.5126 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.7507 2023/02/01 17:22:48 - mmengine - INFO - Epoch(train) [120][ 800/1879] lr: 6.7703e-02 eta: 1 day, 12:16:52 time: 0.4886 data_time: 0.0301 memory: 18108 grad_norm: 3.3491 loss: 4.3982 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6213 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.7769 2023/02/01 17:22:58 - mmengine - INFO - Epoch(train) [120][ 820/1879] lr: 6.7696e-02 eta: 1 day, 12:16:42 time: 0.5187 data_time: 0.0371 memory: 18108 grad_norm: 3.4578 loss: 4.4680 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7224 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7455 2023/02/01 17:23:08 - mmengine - INFO - Epoch(train) [120][ 840/1879] lr: 6.7689e-02 eta: 1 day, 12:16:32 time: 0.4979 data_time: 0.0365 memory: 18108 grad_norm: 3.3488 loss: 4.1113 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4095 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.7017 2023/02/01 17:23:19 - mmengine - INFO - Epoch(train) [120][ 860/1879] lr: 6.7682e-02 eta: 1 day, 12:16:22 time: 0.5156 data_time: 0.0375 memory: 18108 grad_norm: 3.3461 loss: 4.2359 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5128 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.7231 2023/02/01 17:23:29 - mmengine - INFO - Epoch(train) [120][ 880/1879] lr: 6.7675e-02 eta: 1 day, 12:16:11 time: 0.4921 data_time: 0.0313 memory: 18108 grad_norm: 3.2651 loss: 4.2701 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.4556 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8145 2023/02/01 17:23:39 - mmengine - INFO - Epoch(train) [120][ 900/1879] lr: 6.7668e-02 eta: 1 day, 12:16:01 time: 0.5204 data_time: 0.0464 memory: 18108 grad_norm: 3.4012 loss: 4.1254 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3282 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.7972 2023/02/01 17:23:49 - mmengine - INFO - Epoch(train) [120][ 920/1879] lr: 6.7661e-02 eta: 1 day, 12:15:51 time: 0.5068 data_time: 0.0327 memory: 18108 grad_norm: 3.3991 loss: 4.2136 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.4329 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7806 2023/02/01 17:23:59 - mmengine - INFO - Epoch(train) [120][ 940/1879] lr: 6.7654e-02 eta: 1 day, 12:15:40 time: 0.5008 data_time: 0.0370 memory: 18108 grad_norm: 3.3488 loss: 4.1775 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4842 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.6933 2023/02/01 17:24:09 - mmengine - INFO - Epoch(train) [120][ 960/1879] lr: 6.7647e-02 eta: 1 day, 12:15:30 time: 0.5056 data_time: 0.0323 memory: 18108 grad_norm: 3.3422 loss: 4.6007 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7871 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 1.8136 2023/02/01 17:24:20 - mmengine - INFO - Epoch(train) [120][ 980/1879] lr: 6.7640e-02 eta: 1 day, 12:15:20 time: 0.5182 data_time: 0.0430 memory: 18108 grad_norm: 3.3456 loss: 4.4018 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5918 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8101 2023/02/01 17:24:30 - mmengine - INFO - Epoch(train) [120][1000/1879] lr: 6.7633e-02 eta: 1 day, 12:15:10 time: 0.5030 data_time: 0.0307 memory: 18108 grad_norm: 3.3235 loss: 4.1930 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5311 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.6620 2023/02/01 17:24:40 - mmengine - INFO - Epoch(train) [120][1020/1879] lr: 6.7626e-02 eta: 1 day, 12:15:00 time: 0.5239 data_time: 0.0385 memory: 18108 grad_norm: 3.3753 loss: 4.1337 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.3745 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.7592 2023/02/01 17:24:50 - mmengine - INFO - Epoch(train) [120][1040/1879] lr: 6.7619e-02 eta: 1 day, 12:14:50 time: 0.5062 data_time: 0.0389 memory: 18108 grad_norm: 3.3050 loss: 4.1687 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3955 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.7732 2023/02/01 17:25:01 - mmengine - INFO - Epoch(train) [120][1060/1879] lr: 6.7612e-02 eta: 1 day, 12:14:40 time: 0.5165 data_time: 0.0382 memory: 18108 grad_norm: 3.3516 loss: 4.1151 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3486 top1_acc_1: 0.6235 top5_acc_1: 0.8941 loss_cls_1: 1.7665 2023/02/01 17:25:11 - mmengine - INFO - Epoch(train) [120][1080/1879] lr: 6.7605e-02 eta: 1 day, 12:14:29 time: 0.4977 data_time: 0.0357 memory: 18108 grad_norm: 3.2962 loss: 3.9460 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2611 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.6849 2023/02/01 17:25:21 - mmengine - INFO - Epoch(train) [120][1100/1879] lr: 6.7598e-02 eta: 1 day, 12:14:20 time: 0.5347 data_time: 0.0386 memory: 18108 grad_norm: 3.3055 loss: 4.1634 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3875 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.7759 2023/02/01 17:25:32 - mmengine - INFO - Epoch(train) [120][1120/1879] lr: 6.7591e-02 eta: 1 day, 12:14:10 time: 0.5093 data_time: 0.0339 memory: 18108 grad_norm: 3.3401 loss: 4.1240 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4060 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.7180 2023/02/01 17:25:42 - mmengine - INFO - Epoch(train) [120][1140/1879] lr: 6.7584e-02 eta: 1 day, 12:14:00 time: 0.5175 data_time: 0.0340 memory: 18108 grad_norm: 3.3868 loss: 4.3411 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5421 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.7991 2023/02/01 17:25:52 - mmengine - INFO - Epoch(train) [120][1160/1879] lr: 6.7577e-02 eta: 1 day, 12:13:50 time: 0.5122 data_time: 0.0356 memory: 18108 grad_norm: 3.3701 loss: 4.2781 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4637 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.8144 2023/02/01 17:26:03 - mmengine - INFO - Epoch(train) [120][1180/1879] lr: 6.7569e-02 eta: 1 day, 12:13:40 time: 0.5233 data_time: 0.0380 memory: 18108 grad_norm: 3.3175 loss: 4.0905 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4260 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.6645 2023/02/01 17:26:13 - mmengine - INFO - Epoch(train) [120][1200/1879] lr: 6.7562e-02 eta: 1 day, 12:13:30 time: 0.5159 data_time: 0.0359 memory: 18108 grad_norm: 3.2523 loss: 4.0498 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.3636 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.6862 2023/02/01 17:26:24 - mmengine - INFO - Epoch(train) [120][1220/1879] lr: 6.7555e-02 eta: 1 day, 12:13:20 time: 0.5364 data_time: 0.0315 memory: 18108 grad_norm: 3.3291 loss: 4.4669 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6187 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.8483 2023/02/01 17:26:34 - mmengine - INFO - Epoch(train) [120][1240/1879] lr: 6.7548e-02 eta: 1 day, 12:13:10 time: 0.5260 data_time: 0.0352 memory: 18108 grad_norm: 3.3032 loss: 4.1197 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3658 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7539 2023/02/01 17:26:45 - mmengine - INFO - Epoch(train) [120][1260/1879] lr: 6.7541e-02 eta: 1 day, 12:13:00 time: 0.5128 data_time: 0.0312 memory: 18108 grad_norm: 3.2545 loss: 4.1834 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.3293 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8542 2023/02/01 17:26:55 - mmengine - INFO - Epoch(train) [120][1280/1879] lr: 6.7534e-02 eta: 1 day, 12:12:51 time: 0.5307 data_time: 0.0353 memory: 18108 grad_norm: 3.2906 loss: 4.2586 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5176 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.7409 2023/02/01 17:27:06 - mmengine - INFO - Epoch(train) [120][1300/1879] lr: 6.7527e-02 eta: 1 day, 12:12:41 time: 0.5249 data_time: 0.0317 memory: 18108 grad_norm: 3.3147 loss: 4.0923 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4065 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.6858 2023/02/01 17:27:16 - mmengine - INFO - Epoch(train) [120][1320/1879] lr: 6.7520e-02 eta: 1 day, 12:12:31 time: 0.5319 data_time: 0.0431 memory: 18108 grad_norm: 3.3604 loss: 4.2190 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5314 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.6876 2023/02/01 17:27:27 - mmengine - INFO - Epoch(train) [120][1340/1879] lr: 6.7513e-02 eta: 1 day, 12:12:21 time: 0.5325 data_time: 0.0329 memory: 18108 grad_norm: 3.2726 loss: 4.0817 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2985 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.7832 2023/02/01 17:27:37 - mmengine - INFO - Epoch(train) [120][1360/1879] lr: 6.7506e-02 eta: 1 day, 12:12:11 time: 0.5189 data_time: 0.0338 memory: 18108 grad_norm: 3.3737 loss: 4.0790 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3253 top1_acc_1: 0.6235 top5_acc_1: 0.7529 loss_cls_1: 1.7537 2023/02/01 17:27:48 - mmengine - INFO - Epoch(train) [120][1380/1879] lr: 6.7499e-02 eta: 1 day, 12:12:02 time: 0.5446 data_time: 0.0389 memory: 18108 grad_norm: 3.3269 loss: 4.3371 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5076 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.8295 2023/02/01 17:27:58 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 17:27:59 - mmengine - INFO - Epoch(train) [120][1400/1879] lr: 6.7492e-02 eta: 1 day, 12:11:52 time: 0.5153 data_time: 0.0365 memory: 18108 grad_norm: 3.3576 loss: 4.1911 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.4398 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.7514 2023/02/01 17:28:10 - mmengine - INFO - Epoch(train) [120][1420/1879] lr: 6.7485e-02 eta: 1 day, 12:11:43 time: 0.5465 data_time: 0.0336 memory: 18108 grad_norm: 3.3718 loss: 4.0644 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2998 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.7646 2023/02/01 17:28:20 - mmengine - INFO - Epoch(train) [120][1440/1879] lr: 6.7478e-02 eta: 1 day, 12:11:33 time: 0.5276 data_time: 0.0368 memory: 18108 grad_norm: 3.3057 loss: 4.1027 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3801 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.7226 2023/02/01 17:28:31 - mmengine - INFO - Epoch(train) [120][1460/1879] lr: 6.7471e-02 eta: 1 day, 12:11:24 time: 0.5417 data_time: 0.0353 memory: 18108 grad_norm: 3.3360 loss: 4.0574 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3504 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7070 2023/02/01 17:28:42 - mmengine - INFO - Epoch(train) [120][1480/1879] lr: 6.7464e-02 eta: 1 day, 12:11:14 time: 0.5349 data_time: 0.0373 memory: 18108 grad_norm: 3.3377 loss: 3.9933 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.3506 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.6427 2023/02/01 17:28:52 - mmengine - INFO - Epoch(train) [120][1500/1879] lr: 6.7457e-02 eta: 1 day, 12:11:04 time: 0.5255 data_time: 0.0299 memory: 18108 grad_norm: 3.2968 loss: 4.3528 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.4333 top1_acc_1: 0.6118 top5_acc_1: 0.7294 loss_cls_1: 1.9195 2023/02/01 17:29:03 - mmengine - INFO - Epoch(train) [120][1520/1879] lr: 6.7450e-02 eta: 1 day, 12:10:55 time: 0.5345 data_time: 0.0395 memory: 18108 grad_norm: 3.2610 loss: 4.0598 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.3222 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.7376 2023/02/01 17:29:14 - mmengine - INFO - Epoch(train) [120][1540/1879] lr: 6.7442e-02 eta: 1 day, 12:10:45 time: 0.5378 data_time: 0.0288 memory: 18108 grad_norm: 3.2651 loss: 4.3158 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4755 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.8403 2023/02/01 17:29:24 - mmengine - INFO - Epoch(train) [120][1560/1879] lr: 6.7435e-02 eta: 1 day, 12:10:35 time: 0.5305 data_time: 0.0456 memory: 18108 grad_norm: 3.2766 loss: 3.9884 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2689 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7194 2023/02/01 17:29:35 - mmengine - INFO - Epoch(train) [120][1580/1879] lr: 6.7428e-02 eta: 1 day, 12:10:26 time: 0.5457 data_time: 0.0377 memory: 18108 grad_norm: 3.3154 loss: 4.2305 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4753 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7552 2023/02/01 17:29:46 - mmengine - INFO - Epoch(train) [120][1600/1879] lr: 6.7421e-02 eta: 1 day, 12:10:16 time: 0.5247 data_time: 0.0380 memory: 18108 grad_norm: 3.3822 loss: 4.0767 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3384 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.7383 2023/02/01 17:29:56 - mmengine - INFO - Epoch(train) [120][1620/1879] lr: 6.7414e-02 eta: 1 day, 12:10:07 time: 0.5343 data_time: 0.0299 memory: 18108 grad_norm: 3.3892 loss: 4.0108 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2919 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.7189 2023/02/01 17:30:06 - mmengine - INFO - Epoch(train) [120][1640/1879] lr: 6.7407e-02 eta: 1 day, 12:09:56 time: 0.5015 data_time: 0.0367 memory: 18108 grad_norm: 3.3571 loss: 4.2175 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4868 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.7307 2023/02/01 17:30:17 - mmengine - INFO - Epoch(train) [120][1660/1879] lr: 6.7400e-02 eta: 1 day, 12:09:47 time: 0.5359 data_time: 0.0289 memory: 18108 grad_norm: 3.4178 loss: 4.3962 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5912 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8051 2023/02/01 17:30:27 - mmengine - INFO - Epoch(train) [120][1680/1879] lr: 6.7393e-02 eta: 1 day, 12:09:36 time: 0.5079 data_time: 0.0370 memory: 18108 grad_norm: 3.3252 loss: 4.2265 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.4651 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.7613 2023/02/01 17:30:38 - mmengine - INFO - Epoch(train) [120][1700/1879] lr: 6.7386e-02 eta: 1 day, 12:09:26 time: 0.5177 data_time: 0.0285 memory: 18108 grad_norm: 3.3164 loss: 4.3536 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6274 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.7262 2023/02/01 17:30:48 - mmengine - INFO - Epoch(train) [120][1720/1879] lr: 6.7379e-02 eta: 1 day, 12:09:17 time: 0.5294 data_time: 0.0371 memory: 18108 grad_norm: 3.3076 loss: 4.1826 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3958 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.7868 2023/02/01 17:30:59 - mmengine - INFO - Epoch(train) [120][1740/1879] lr: 6.7372e-02 eta: 1 day, 12:09:07 time: 0.5200 data_time: 0.0315 memory: 18108 grad_norm: 3.2770 loss: 4.0722 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.2839 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7883 2023/02/01 17:31:09 - mmengine - INFO - Epoch(train) [120][1760/1879] lr: 6.7365e-02 eta: 1 day, 12:08:57 time: 0.5083 data_time: 0.0388 memory: 18108 grad_norm: 3.2981 loss: 4.1777 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5121 top1_acc_1: 0.6118 top5_acc_1: 0.7529 loss_cls_1: 1.6656 2023/02/01 17:31:19 - mmengine - INFO - Epoch(train) [120][1780/1879] lr: 6.7358e-02 eta: 1 day, 12:08:46 time: 0.4759 data_time: 0.0304 memory: 18108 grad_norm: 3.3214 loss: 3.8561 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1825 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.6736 2023/02/01 17:31:29 - mmengine - INFO - Epoch(train) [120][1800/1879] lr: 6.7351e-02 eta: 1 day, 12:08:35 time: 0.5003 data_time: 0.0364 memory: 18108 grad_norm: 3.3916 loss: 4.4549 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.6608 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.7941 2023/02/01 17:31:38 - mmengine - INFO - Epoch(train) [120][1820/1879] lr: 6.7344e-02 eta: 1 day, 12:08:24 time: 0.4710 data_time: 0.0388 memory: 18108 grad_norm: 3.2908 loss: 4.3089 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5983 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.7106 2023/02/01 17:31:48 - mmengine - INFO - Epoch(train) [120][1840/1879] lr: 6.7337e-02 eta: 1 day, 12:08:14 time: 0.4875 data_time: 0.0375 memory: 18108 grad_norm: 3.3018 loss: 4.2950 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5313 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7637 2023/02/01 17:31:57 - mmengine - INFO - Epoch(train) [120][1860/1879] lr: 6.7330e-02 eta: 1 day, 12:08:03 time: 0.4826 data_time: 0.0430 memory: 18108 grad_norm: 3.2734 loss: 4.2576 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4143 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.8433 2023/02/01 17:32:06 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 17:32:06 - mmengine - INFO - Epoch(train) [120][1879/1879] lr: 6.7323e-02 eta: 1 day, 12:07:52 time: 0.4750 data_time: 0.0307 memory: 18108 grad_norm: 3.3927 loss: 4.1091 top1_acc_0: 0.4286 top5_acc_0: 0.5714 loss_cls_0: 2.2936 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.8155 2023/02/01 17:32:07 - mmengine - INFO - Saving checkpoint at 120 epochs 2023/02/01 17:32:18 - mmengine - INFO - Epoch(val) [120][ 20/155] eta: 0:01:01 time: 0.4588 data_time: 0.3458 memory: 1906 2023/02/01 17:32:26 - mmengine - INFO - Epoch(val) [120][ 40/155] eta: 0:00:51 time: 0.4416 data_time: 0.3302 memory: 1906 2023/02/01 17:32:35 - mmengine - INFO - Epoch(val) [120][ 60/155] eta: 0:00:42 time: 0.4377 data_time: 0.3264 memory: 1906 2023/02/01 17:32:44 - mmengine - INFO - Epoch(val) [120][ 80/155] eta: 0:00:33 time: 0.4597 data_time: 0.3494 memory: 1906 2023/02/01 17:32:53 - mmengine - INFO - Epoch(val) [120][100/155] eta: 0:00:24 time: 0.4455 data_time: 0.3346 memory: 1906 2023/02/01 17:33:02 - mmengine - INFO - Epoch(val) [120][120/155] eta: 0:00:15 time: 0.4504 data_time: 0.3403 memory: 1906 2023/02/01 17:33:11 - mmengine - INFO - Epoch(val) [120][140/155] eta: 0:00:06 time: 0.4390 data_time: 0.3288 memory: 1906 2023/02/01 17:33:19 - mmengine - INFO - Epoch(val) [120][155/155] acc/top1: 0.4660 acc/top5: 0.7210 acc/mean1: 0.4656 2023/02/01 17:33:33 - mmengine - INFO - Epoch(train) [121][ 20/1879] lr: 6.7316e-02 eta: 1 day, 12:07:47 time: 0.7104 data_time: 0.2530 memory: 18108 grad_norm: 3.2396 loss: 4.3791 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.6405 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7386 2023/02/01 17:33:42 - mmengine - INFO - Epoch(train) [121][ 40/1879] lr: 6.7309e-02 eta: 1 day, 12:07:36 time: 0.4703 data_time: 0.0334 memory: 18108 grad_norm: 3.2626 loss: 4.0905 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4806 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.6098 2023/02/01 17:33:53 - mmengine - INFO - Epoch(train) [121][ 60/1879] lr: 6.7302e-02 eta: 1 day, 12:07:25 time: 0.5066 data_time: 0.0363 memory: 18108 grad_norm: 3.2687 loss: 4.0615 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3862 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6753 2023/02/01 17:34:02 - mmengine - INFO - Epoch(train) [121][ 80/1879] lr: 6.7295e-02 eta: 1 day, 12:07:15 time: 0.4914 data_time: 0.0484 memory: 18108 grad_norm: 3.3528 loss: 4.0586 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4256 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.6330 2023/02/01 17:34:12 - mmengine - INFO - Epoch(train) [121][ 100/1879] lr: 6.7287e-02 eta: 1 day, 12:07:04 time: 0.4828 data_time: 0.0357 memory: 18108 grad_norm: 3.3217 loss: 4.0204 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2970 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.7233 2023/02/01 17:34:21 - mmengine - INFO - Epoch(train) [121][ 120/1879] lr: 6.7280e-02 eta: 1 day, 12:06:53 time: 0.4681 data_time: 0.0352 memory: 18108 grad_norm: 3.3050 loss: 4.0434 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4197 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.6236 2023/02/01 17:34:31 - mmengine - INFO - Epoch(train) [121][ 140/1879] lr: 6.7273e-02 eta: 1 day, 12:06:42 time: 0.4904 data_time: 0.0363 memory: 18108 grad_norm: 3.3047 loss: 4.2359 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5394 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.6965 2023/02/01 17:34:41 - mmengine - INFO - Epoch(train) [121][ 160/1879] lr: 6.7266e-02 eta: 1 day, 12:06:32 time: 0.4910 data_time: 0.0413 memory: 18108 grad_norm: 3.3441 loss: 3.7281 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0484 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.6797 2023/02/01 17:34:51 - mmengine - INFO - Epoch(train) [121][ 180/1879] lr: 6.7259e-02 eta: 1 day, 12:06:21 time: 0.4787 data_time: 0.0347 memory: 18108 grad_norm: 3.3542 loss: 4.0912 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.4143 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.6769 2023/02/01 17:35:00 - mmengine - INFO - Epoch(train) [121][ 200/1879] lr: 6.7252e-02 eta: 1 day, 12:06:10 time: 0.4720 data_time: 0.0322 memory: 18108 grad_norm: 3.4004 loss: 4.2421 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4806 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.7616 2023/02/01 17:35:10 - mmengine - INFO - Epoch(train) [121][ 220/1879] lr: 6.7245e-02 eta: 1 day, 12:06:00 time: 0.5035 data_time: 0.0346 memory: 18108 grad_norm: 3.3710 loss: 4.1575 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.4379 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7196 2023/02/01 17:35:20 - mmengine - INFO - Epoch(train) [121][ 240/1879] lr: 6.7238e-02 eta: 1 day, 12:05:49 time: 0.4800 data_time: 0.0407 memory: 18108 grad_norm: 3.3479 loss: 4.1196 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4254 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 1.6942 2023/02/01 17:35:30 - mmengine - INFO - Epoch(train) [121][ 260/1879] lr: 6.7231e-02 eta: 1 day, 12:05:38 time: 0.4902 data_time: 0.0340 memory: 18108 grad_norm: 3.3259 loss: 4.3313 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5398 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7915 2023/02/01 17:35:39 - mmengine - INFO - Epoch(train) [121][ 280/1879] lr: 6.7224e-02 eta: 1 day, 12:05:27 time: 0.4731 data_time: 0.0353 memory: 18108 grad_norm: 3.3439 loss: 3.9362 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1257 top1_acc_1: 0.4941 top5_acc_1: 0.7059 loss_cls_1: 1.8105 2023/02/01 17:35:49 - mmengine - INFO - Epoch(train) [121][ 300/1879] lr: 6.7217e-02 eta: 1 day, 12:05:17 time: 0.4937 data_time: 0.0358 memory: 18108 grad_norm: 3.2809 loss: 4.0805 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.3673 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7132 2023/02/01 17:35:59 - mmengine - INFO - Epoch(train) [121][ 320/1879] lr: 6.7210e-02 eta: 1 day, 12:05:06 time: 0.4839 data_time: 0.0329 memory: 18108 grad_norm: 3.3876 loss: 3.9460 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.2912 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6549 2023/02/01 17:36:08 - mmengine - INFO - Epoch(train) [121][ 340/1879] lr: 6.7203e-02 eta: 1 day, 12:04:55 time: 0.4775 data_time: 0.0355 memory: 18108 grad_norm: 3.3781 loss: 4.3195 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4719 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8476 2023/02/01 17:36:18 - mmengine - INFO - Epoch(train) [121][ 360/1879] lr: 6.7196e-02 eta: 1 day, 12:04:45 time: 0.4950 data_time: 0.0347 memory: 18108 grad_norm: 3.3704 loss: 4.1050 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4083 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6966 2023/02/01 17:36:28 - mmengine - INFO - Epoch(train) [121][ 380/1879] lr: 6.7188e-02 eta: 1 day, 12:04:34 time: 0.5007 data_time: 0.0510 memory: 18108 grad_norm: 3.3263 loss: 4.1706 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.4475 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7231 2023/02/01 17:36:38 - mmengine - INFO - Epoch(train) [121][ 400/1879] lr: 6.7181e-02 eta: 1 day, 12:04:24 time: 0.4957 data_time: 0.0322 memory: 18108 grad_norm: 3.2997 loss: 4.0475 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.2912 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.7563 2023/02/01 17:36:48 - mmengine - INFO - Epoch(train) [121][ 420/1879] lr: 6.7174e-02 eta: 1 day, 12:04:13 time: 0.4930 data_time: 0.0372 memory: 18108 grad_norm: 3.2919 loss: 4.2552 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.4711 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7841 2023/02/01 17:36:58 - mmengine - INFO - Epoch(train) [121][ 440/1879] lr: 6.7167e-02 eta: 1 day, 12:04:03 time: 0.5084 data_time: 0.0325 memory: 18108 grad_norm: 3.2887 loss: 4.2656 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5276 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.7379 2023/02/01 17:37:09 - mmengine - INFO - Epoch(train) [121][ 460/1879] lr: 6.7160e-02 eta: 1 day, 12:03:53 time: 0.5174 data_time: 0.0433 memory: 18108 grad_norm: 3.3701 loss: 4.0865 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3292 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7573 2023/02/01 17:37:18 - mmengine - INFO - Epoch(train) [121][ 480/1879] lr: 6.7153e-02 eta: 1 day, 12:03:42 time: 0.4955 data_time: 0.0331 memory: 18108 grad_norm: 3.3859 loss: 4.2808 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5348 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7460 2023/02/01 17:37:29 - mmengine - INFO - Epoch(train) [121][ 500/1879] lr: 6.7146e-02 eta: 1 day, 12:03:32 time: 0.5022 data_time: 0.0337 memory: 18108 grad_norm: 3.3664 loss: 4.1733 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3688 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.8045 2023/02/01 17:37:39 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 17:37:39 - mmengine - INFO - Epoch(train) [121][ 520/1879] lr: 6.7139e-02 eta: 1 day, 12:03:22 time: 0.5070 data_time: 0.0315 memory: 18108 grad_norm: 3.3424 loss: 4.1172 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3245 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7927 2023/02/01 17:37:49 - mmengine - INFO - Epoch(train) [121][ 540/1879] lr: 6.7132e-02 eta: 1 day, 12:03:12 time: 0.5136 data_time: 0.0478 memory: 18108 grad_norm: 3.3513 loss: 4.0778 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3928 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.6851 2023/02/01 17:37:59 - mmengine - INFO - Epoch(train) [121][ 560/1879] lr: 6.7125e-02 eta: 1 day, 12:03:01 time: 0.4918 data_time: 0.0324 memory: 18108 grad_norm: 3.3620 loss: 4.1031 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2940 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.8091 2023/02/01 17:38:09 - mmengine - INFO - Epoch(train) [121][ 580/1879] lr: 6.7118e-02 eta: 1 day, 12:02:51 time: 0.5208 data_time: 0.0349 memory: 18108 grad_norm: 3.3528 loss: 4.1205 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.3993 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.7212 2023/02/01 17:38:19 - mmengine - INFO - Epoch(train) [121][ 600/1879] lr: 6.7111e-02 eta: 1 day, 12:02:41 time: 0.5045 data_time: 0.0323 memory: 18108 grad_norm: 3.3346 loss: 3.9845 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1655 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.8189 2023/02/01 17:38:29 - mmengine - INFO - Epoch(train) [121][ 620/1879] lr: 6.7104e-02 eta: 1 day, 12:02:31 time: 0.5003 data_time: 0.0360 memory: 18108 grad_norm: 3.3125 loss: 4.2211 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4246 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.7965 2023/02/01 17:38:40 - mmengine - INFO - Epoch(train) [121][ 640/1879] lr: 6.7097e-02 eta: 1 day, 12:02:21 time: 0.5217 data_time: 0.0325 memory: 18108 grad_norm: 3.3862 loss: 3.9540 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.3265 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.6275 2023/02/01 17:38:50 - mmengine - INFO - Epoch(train) [121][ 660/1879] lr: 6.7089e-02 eta: 1 day, 12:02:11 time: 0.5186 data_time: 0.0343 memory: 18108 grad_norm: 3.4311 loss: 4.3733 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5611 top1_acc_1: 0.5176 top5_acc_1: 0.6941 loss_cls_1: 1.8123 2023/02/01 17:39:00 - mmengine - INFO - Epoch(train) [121][ 680/1879] lr: 6.7082e-02 eta: 1 day, 12:02:01 time: 0.5104 data_time: 0.0324 memory: 18108 grad_norm: 3.3306 loss: 4.2464 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4988 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.7475 2023/02/01 17:39:11 - mmengine - INFO - Epoch(train) [121][ 700/1879] lr: 6.7075e-02 eta: 1 day, 12:01:51 time: 0.5125 data_time: 0.0439 memory: 18108 grad_norm: 3.3333 loss: 3.9821 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2974 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.6847 2023/02/01 17:39:21 - mmengine - INFO - Epoch(train) [121][ 720/1879] lr: 6.7068e-02 eta: 1 day, 12:01:41 time: 0.5259 data_time: 0.0315 memory: 18108 grad_norm: 3.3797 loss: 3.9965 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2629 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7337 2023/02/01 17:39:32 - mmengine - INFO - Epoch(train) [121][ 740/1879] lr: 6.7061e-02 eta: 1 day, 12:01:31 time: 0.5171 data_time: 0.0359 memory: 18108 grad_norm: 3.3117 loss: 4.0235 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2765 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.7470 2023/02/01 17:39:42 - mmengine - INFO - Epoch(train) [121][ 760/1879] lr: 6.7054e-02 eta: 1 day, 12:01:21 time: 0.5189 data_time: 0.0314 memory: 18108 grad_norm: 3.3275 loss: 4.1598 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.4461 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.7137 2023/02/01 17:39:52 - mmengine - INFO - Epoch(train) [121][ 780/1879] lr: 6.7047e-02 eta: 1 day, 12:01:11 time: 0.5202 data_time: 0.0445 memory: 18108 grad_norm: 3.2580 loss: 4.3682 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6612 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.7070 2023/02/01 17:40:03 - mmengine - INFO - Epoch(train) [121][ 800/1879] lr: 6.7040e-02 eta: 1 day, 12:01:01 time: 0.5161 data_time: 0.0331 memory: 18108 grad_norm: 3.3143 loss: 4.2469 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 2.5469 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.6999 2023/02/01 17:40:13 - mmengine - INFO - Epoch(train) [121][ 820/1879] lr: 6.7033e-02 eta: 1 day, 12:00:51 time: 0.5228 data_time: 0.0354 memory: 18108 grad_norm: 3.3729 loss: 4.0800 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.3370 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.7430 2023/02/01 17:40:24 - mmengine - INFO - Epoch(train) [121][ 840/1879] lr: 6.7026e-02 eta: 1 day, 12:00:41 time: 0.5217 data_time: 0.0313 memory: 18108 grad_norm: 3.3683 loss: 4.3331 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5474 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7857 2023/02/01 17:40:34 - mmengine - INFO - Epoch(train) [121][ 860/1879] lr: 6.7019e-02 eta: 1 day, 12:00:31 time: 0.5194 data_time: 0.0361 memory: 18108 grad_norm: 3.4004 loss: 4.2234 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4302 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.7932 2023/02/01 17:40:45 - mmengine - INFO - Epoch(train) [121][ 880/1879] lr: 6.7012e-02 eta: 1 day, 12:00:21 time: 0.5231 data_time: 0.0316 memory: 18108 grad_norm: 3.3900 loss: 4.2175 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3516 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.8660 2023/02/01 17:40:55 - mmengine - INFO - Epoch(train) [121][ 900/1879] lr: 6.7004e-02 eta: 1 day, 12:00:11 time: 0.5177 data_time: 0.0338 memory: 18108 grad_norm: 3.3681 loss: 3.9559 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2597 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.6962 2023/02/01 17:41:05 - mmengine - INFO - Epoch(train) [121][ 920/1879] lr: 6.6997e-02 eta: 1 day, 12:00:01 time: 0.5201 data_time: 0.0323 memory: 18108 grad_norm: 3.4639 loss: 3.9236 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.2748 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.6488 2023/02/01 17:41:16 - mmengine - INFO - Epoch(train) [121][ 940/1879] lr: 6.6990e-02 eta: 1 day, 11:59:52 time: 0.5361 data_time: 0.0520 memory: 18108 grad_norm: 3.4219 loss: 4.2277 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4613 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.7664 2023/02/01 17:41:26 - mmengine - INFO - Epoch(train) [121][ 960/1879] lr: 6.6983e-02 eta: 1 day, 11:59:42 time: 0.5178 data_time: 0.0393 memory: 18108 grad_norm: 3.3396 loss: 4.1130 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.4618 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.6512 2023/02/01 17:41:37 - mmengine - INFO - Epoch(train) [121][ 980/1879] lr: 6.6976e-02 eta: 1 day, 11:59:32 time: 0.5135 data_time: 0.0297 memory: 18108 grad_norm: 3.4531 loss: 4.0676 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3240 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7436 2023/02/01 17:41:47 - mmengine - INFO - Epoch(train) [121][1000/1879] lr: 6.6969e-02 eta: 1 day, 11:59:22 time: 0.5187 data_time: 0.0498 memory: 18108 grad_norm: 3.4185 loss: 4.2696 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5688 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7008 2023/02/01 17:41:58 - mmengine - INFO - Epoch(train) [121][1020/1879] lr: 6.6962e-02 eta: 1 day, 11:59:12 time: 0.5235 data_time: 0.0326 memory: 18108 grad_norm: 3.3358 loss: 4.2427 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4801 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7626 2023/02/01 17:42:08 - mmengine - INFO - Epoch(train) [121][1040/1879] lr: 6.6955e-02 eta: 1 day, 11:59:02 time: 0.5056 data_time: 0.0320 memory: 18108 grad_norm: 3.3708 loss: 4.3422 top1_acc_0: 0.1875 top5_acc_0: 0.7500 loss_cls_0: 2.5539 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.7883 2023/02/01 17:42:18 - mmengine - INFO - Epoch(train) [121][1060/1879] lr: 6.6948e-02 eta: 1 day, 11:58:52 time: 0.5168 data_time: 0.0349 memory: 18108 grad_norm: 3.4154 loss: 4.1208 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3643 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7564 2023/02/01 17:42:29 - mmengine - INFO - Epoch(train) [121][1080/1879] lr: 6.6941e-02 eta: 1 day, 11:58:42 time: 0.5316 data_time: 0.0413 memory: 18108 grad_norm: 3.3095 loss: 4.2311 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.4980 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7330 2023/02/01 17:42:39 - mmengine - INFO - Epoch(train) [121][1100/1879] lr: 6.6934e-02 eta: 1 day, 11:58:32 time: 0.5165 data_time: 0.0350 memory: 18108 grad_norm: 3.3547 loss: 4.1702 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3753 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.7949 2023/02/01 17:42:50 - mmengine - INFO - Epoch(train) [121][1120/1879] lr: 6.6927e-02 eta: 1 day, 11:58:22 time: 0.5215 data_time: 0.0318 memory: 18108 grad_norm: 3.3347 loss: 4.1570 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.4206 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.7364 2023/02/01 17:43:00 - mmengine - INFO - Epoch(train) [121][1140/1879] lr: 6.6919e-02 eta: 1 day, 11:58:12 time: 0.5259 data_time: 0.0349 memory: 18108 grad_norm: 3.3197 loss: 4.3158 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5514 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.7645 2023/02/01 17:43:11 - mmengine - INFO - Epoch(train) [121][1160/1879] lr: 6.6912e-02 eta: 1 day, 11:58:03 time: 0.5344 data_time: 0.0325 memory: 18108 grad_norm: 3.3623 loss: 4.0365 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2178 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.8187 2023/02/01 17:43:21 - mmengine - INFO - Epoch(train) [121][1180/1879] lr: 6.6905e-02 eta: 1 day, 11:57:53 time: 0.5342 data_time: 0.0334 memory: 18108 grad_norm: 3.4220 loss: 4.3383 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5838 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.7545 2023/02/01 17:43:32 - mmengine - INFO - Epoch(train) [121][1200/1879] lr: 6.6898e-02 eta: 1 day, 11:57:43 time: 0.5259 data_time: 0.0320 memory: 18108 grad_norm: 3.3829 loss: 4.1970 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3531 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.8439 2023/02/01 17:43:43 - mmengine - INFO - Epoch(train) [121][1220/1879] lr: 6.6891e-02 eta: 1 day, 11:57:34 time: 0.5338 data_time: 0.0419 memory: 18108 grad_norm: 3.4506 loss: 4.0419 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2969 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7449 2023/02/01 17:43:53 - mmengine - INFO - Epoch(train) [121][1240/1879] lr: 6.6884e-02 eta: 1 day, 11:57:24 time: 0.5231 data_time: 0.0317 memory: 18108 grad_norm: 3.4824 loss: 4.4062 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5775 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.8288 2023/02/01 17:44:04 - mmengine - INFO - Epoch(train) [121][1260/1879] lr: 6.6877e-02 eta: 1 day, 11:57:14 time: 0.5309 data_time: 0.0358 memory: 18108 grad_norm: 3.3047 loss: 4.2376 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4240 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.8136 2023/02/01 17:44:14 - mmengine - INFO - Epoch(train) [121][1280/1879] lr: 6.6870e-02 eta: 1 day, 11:57:04 time: 0.5256 data_time: 0.0321 memory: 18108 grad_norm: 3.3689 loss: 4.5876 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.7678 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.8198 2023/02/01 17:44:25 - mmengine - INFO - Epoch(train) [121][1300/1879] lr: 6.6863e-02 eta: 1 day, 11:56:55 time: 0.5333 data_time: 0.0333 memory: 18108 grad_norm: 3.3892 loss: 4.0563 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2942 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.7621 2023/02/01 17:44:36 - mmengine - INFO - Epoch(train) [121][1320/1879] lr: 6.6856e-02 eta: 1 day, 11:56:45 time: 0.5344 data_time: 0.0350 memory: 18108 grad_norm: 3.3469 loss: 4.4283 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.6503 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7780 2023/02/01 17:44:46 - mmengine - INFO - Epoch(train) [121][1340/1879] lr: 6.6849e-02 eta: 1 day, 11:56:35 time: 0.5290 data_time: 0.0284 memory: 18108 grad_norm: 3.3567 loss: 4.0682 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3163 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7519 2023/02/01 17:44:57 - mmengine - INFO - Epoch(train) [121][1360/1879] lr: 6.6841e-02 eta: 1 day, 11:56:26 time: 0.5337 data_time: 0.0432 memory: 18108 grad_norm: 3.3258 loss: 4.1180 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3953 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.7227 2023/02/01 17:45:08 - mmengine - INFO - Epoch(train) [121][1380/1879] lr: 6.6834e-02 eta: 1 day, 11:56:16 time: 0.5420 data_time: 0.0295 memory: 18108 grad_norm: 3.2944 loss: 4.2479 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5042 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.7437 2023/02/01 17:45:18 - mmengine - INFO - Epoch(train) [121][1400/1879] lr: 6.6827e-02 eta: 1 day, 11:56:07 time: 0.5311 data_time: 0.0366 memory: 18108 grad_norm: 3.3181 loss: 4.1354 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5303 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 1.6051 2023/02/01 17:45:29 - mmengine - INFO - Epoch(train) [121][1420/1879] lr: 6.6820e-02 eta: 1 day, 11:55:57 time: 0.5209 data_time: 0.0295 memory: 18108 grad_norm: 3.3901 loss: 4.1850 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.3877 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.7974 2023/02/01 17:45:40 - mmengine - INFO - Epoch(train) [121][1440/1879] lr: 6.6813e-02 eta: 1 day, 11:55:47 time: 0.5459 data_time: 0.0452 memory: 18108 grad_norm: 3.4015 loss: 4.1060 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4546 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.6514 2023/02/01 17:45:50 - mmengine - INFO - Epoch(train) [121][1460/1879] lr: 6.6806e-02 eta: 1 day, 11:55:37 time: 0.5236 data_time: 0.0301 memory: 18108 grad_norm: 3.3729 loss: 4.3343 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6301 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.7042 2023/02/01 17:46:01 - mmengine - INFO - Epoch(train) [121][1480/1879] lr: 6.6799e-02 eta: 1 day, 11:55:28 time: 0.5350 data_time: 0.0366 memory: 18108 grad_norm: 3.2971 loss: 4.0755 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3809 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.6947 2023/02/01 17:46:12 - mmengine - INFO - Epoch(train) [121][1500/1879] lr: 6.6792e-02 eta: 1 day, 11:55:18 time: 0.5243 data_time: 0.0372 memory: 18108 grad_norm: 3.3989 loss: 4.2531 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4778 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.7753 2023/02/01 17:46:22 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 17:46:22 - mmengine - INFO - Epoch(train) [121][1520/1879] lr: 6.6785e-02 eta: 1 day, 11:55:08 time: 0.5222 data_time: 0.0366 memory: 18108 grad_norm: 3.3769 loss: 4.1802 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3540 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.8263 2023/02/01 17:46:33 - mmengine - INFO - Epoch(train) [121][1540/1879] lr: 6.6778e-02 eta: 1 day, 11:54:58 time: 0.5255 data_time: 0.0304 memory: 18108 grad_norm: 3.3514 loss: 4.3752 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5767 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.7984 2023/02/01 17:46:43 - mmengine - INFO - Epoch(train) [121][1560/1879] lr: 6.6771e-02 eta: 1 day, 11:54:49 time: 0.5334 data_time: 0.0467 memory: 18108 grad_norm: 3.2888 loss: 4.3058 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6052 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.7006 2023/02/01 17:46:54 - mmengine - INFO - Epoch(train) [121][1580/1879] lr: 6.6763e-02 eta: 1 day, 11:54:39 time: 0.5220 data_time: 0.0287 memory: 18108 grad_norm: 3.3708 loss: 4.2119 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4238 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.7881 2023/02/01 17:47:04 - mmengine - INFO - Epoch(train) [121][1600/1879] lr: 6.6756e-02 eta: 1 day, 11:54:29 time: 0.5250 data_time: 0.0379 memory: 18108 grad_norm: 3.3220 loss: 4.1789 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5170 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.6618 2023/02/01 17:47:15 - mmengine - INFO - Epoch(train) [121][1620/1879] lr: 6.6749e-02 eta: 1 day, 11:54:19 time: 0.5305 data_time: 0.0298 memory: 18108 grad_norm: 3.3680 loss: 4.4030 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5685 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.8345 2023/02/01 17:47:26 - mmengine - INFO - Epoch(train) [121][1640/1879] lr: 6.6742e-02 eta: 1 day, 11:54:10 time: 0.5451 data_time: 0.0466 memory: 18108 grad_norm: 3.4561 loss: 4.2836 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4060 top1_acc_1: 0.5647 top5_acc_1: 0.7059 loss_cls_1: 1.8776 2023/02/01 17:47:36 - mmengine - INFO - Epoch(train) [121][1660/1879] lr: 6.6735e-02 eta: 1 day, 11:54:00 time: 0.5174 data_time: 0.0312 memory: 18108 grad_norm: 3.3999 loss: 4.3595 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.5607 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.7988 2023/02/01 17:47:47 - mmengine - INFO - Epoch(train) [121][1680/1879] lr: 6.6728e-02 eta: 1 day, 11:53:50 time: 0.5395 data_time: 0.0372 memory: 18108 grad_norm: 3.3546 loss: 4.3173 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5613 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.7560 2023/02/01 17:47:58 - mmengine - INFO - Epoch(train) [121][1700/1879] lr: 6.6721e-02 eta: 1 day, 11:53:41 time: 0.5407 data_time: 0.0377 memory: 18108 grad_norm: 3.3776 loss: 4.2195 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.3759 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.8437 2023/02/01 17:48:08 - mmengine - INFO - Epoch(train) [121][1720/1879] lr: 6.6714e-02 eta: 1 day, 11:53:31 time: 0.5195 data_time: 0.0358 memory: 18108 grad_norm: 3.3708 loss: 4.1057 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3872 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.7185 2023/02/01 17:48:18 - mmengine - INFO - Epoch(train) [121][1740/1879] lr: 6.6707e-02 eta: 1 day, 11:53:21 time: 0.5148 data_time: 0.0299 memory: 18108 grad_norm: 3.3296 loss: 3.9481 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2562 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.6919 2023/02/01 17:48:29 - mmengine - INFO - Epoch(train) [121][1760/1879] lr: 6.6700e-02 eta: 1 day, 11:53:11 time: 0.5303 data_time: 0.0450 memory: 18108 grad_norm: 3.3241 loss: 4.2229 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4735 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.7495 2023/02/01 17:48:39 - mmengine - INFO - Epoch(train) [121][1780/1879] lr: 6.6692e-02 eta: 1 day, 11:53:01 time: 0.5107 data_time: 0.0292 memory: 18108 grad_norm: 3.2878 loss: 4.2389 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.4622 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7767 2023/02/01 17:48:50 - mmengine - INFO - Epoch(train) [121][1800/1879] lr: 6.6685e-02 eta: 1 day, 11:52:51 time: 0.5113 data_time: 0.0381 memory: 18108 grad_norm: 3.2760 loss: 4.4452 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6673 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.7778 2023/02/01 17:49:00 - mmengine - INFO - Epoch(train) [121][1820/1879] lr: 6.6678e-02 eta: 1 day, 11:52:41 time: 0.5095 data_time: 0.0289 memory: 18108 grad_norm: 3.2756 loss: 4.0468 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.3056 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7412 2023/02/01 17:49:10 - mmengine - INFO - Epoch(train) [121][1840/1879] lr: 6.6671e-02 eta: 1 day, 11:52:31 time: 0.5258 data_time: 0.0454 memory: 18108 grad_norm: 3.3526 loss: 4.2530 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5367 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.7163 2023/02/01 17:49:20 - mmengine - INFO - Epoch(train) [121][1860/1879] lr: 6.6664e-02 eta: 1 day, 11:52:21 time: 0.5007 data_time: 0.0308 memory: 18108 grad_norm: 3.3090 loss: 4.4800 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7356 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7444 2023/02/01 17:49:30 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 17:49:30 - mmengine - INFO - Epoch(train) [121][1879/1879] lr: 6.6657e-02 eta: 1 day, 11:52:10 time: 0.4871 data_time: 0.0340 memory: 18108 grad_norm: 3.4148 loss: 4.1812 top1_acc_0: 0.2857 top5_acc_0: 0.8571 loss_cls_0: 2.5158 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6655 2023/02/01 17:49:45 - mmengine - INFO - Epoch(train) [122][ 20/1879] lr: 6.6650e-02 eta: 1 day, 11:52:05 time: 0.7142 data_time: 0.2630 memory: 18108 grad_norm: 3.3438 loss: 4.1950 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4398 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7552 2023/02/01 17:49:54 - mmengine - INFO - Epoch(train) [122][ 40/1879] lr: 6.6643e-02 eta: 1 day, 11:51:54 time: 0.4779 data_time: 0.0318 memory: 18108 grad_norm: 3.3339 loss: 3.9555 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2309 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.7247 2023/02/01 17:50:04 - mmengine - INFO - Epoch(train) [122][ 60/1879] lr: 6.6636e-02 eta: 1 day, 11:51:43 time: 0.4852 data_time: 0.0376 memory: 18108 grad_norm: 3.3776 loss: 4.0806 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3643 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.7163 2023/02/01 17:50:14 - mmengine - INFO - Epoch(train) [122][ 80/1879] lr: 6.6629e-02 eta: 1 day, 11:51:33 time: 0.5153 data_time: 0.0402 memory: 18108 grad_norm: 3.3552 loss: 3.9419 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2826 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.6593 2023/02/01 17:50:24 - mmengine - INFO - Epoch(train) [122][ 100/1879] lr: 6.6622e-02 eta: 1 day, 11:51:22 time: 0.4820 data_time: 0.0385 memory: 18108 grad_norm: 3.3825 loss: 4.1334 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4312 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.7022 2023/02/01 17:50:33 - mmengine - INFO - Epoch(train) [122][ 120/1879] lr: 6.6615e-02 eta: 1 day, 11:51:11 time: 0.4745 data_time: 0.0310 memory: 18108 grad_norm: 3.3148 loss: 4.1131 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3869 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.7261 2023/02/01 17:50:44 - mmengine - INFO - Epoch(train) [122][ 140/1879] lr: 6.6608e-02 eta: 1 day, 11:51:01 time: 0.5079 data_time: 0.0378 memory: 18108 grad_norm: 3.3212 loss: 4.1379 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.4284 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.7095 2023/02/01 17:50:53 - mmengine - INFO - Epoch(train) [122][ 160/1879] lr: 6.6601e-02 eta: 1 day, 11:50:50 time: 0.4801 data_time: 0.0311 memory: 18108 grad_norm: 3.3369 loss: 3.9756 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3166 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.6591 2023/02/01 17:51:03 - mmengine - INFO - Epoch(train) [122][ 180/1879] lr: 6.6593e-02 eta: 1 day, 11:50:39 time: 0.4764 data_time: 0.0387 memory: 18108 grad_norm: 3.4377 loss: 4.1344 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4993 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.6351 2023/02/01 17:51:12 - mmengine - INFO - Epoch(train) [122][ 200/1879] lr: 6.6586e-02 eta: 1 day, 11:50:29 time: 0.4807 data_time: 0.0386 memory: 18108 grad_norm: 3.3881 loss: 4.0595 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4016 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.6579 2023/02/01 17:51:22 - mmengine - INFO - Epoch(train) [122][ 220/1879] lr: 6.6579e-02 eta: 1 day, 11:50:18 time: 0.5008 data_time: 0.0319 memory: 18108 grad_norm: 3.3786 loss: 4.0904 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3478 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.7425 2023/02/01 17:51:32 - mmengine - INFO - Epoch(train) [122][ 240/1879] lr: 6.6572e-02 eta: 1 day, 11:50:07 time: 0.4805 data_time: 0.0321 memory: 18108 grad_norm: 3.3906 loss: 4.1538 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.4173 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.7365 2023/02/01 17:51:42 - mmengine - INFO - Epoch(train) [122][ 260/1879] lr: 6.6565e-02 eta: 1 day, 11:49:57 time: 0.4905 data_time: 0.0481 memory: 18108 grad_norm: 3.3386 loss: 4.2316 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5135 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.7181 2023/02/01 17:51:51 - mmengine - INFO - Epoch(train) [122][ 280/1879] lr: 6.6558e-02 eta: 1 day, 11:49:46 time: 0.4772 data_time: 0.0355 memory: 18108 grad_norm: 3.3439 loss: 3.9943 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2742 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.7201 2023/02/01 17:52:01 - mmengine - INFO - Epoch(train) [122][ 300/1879] lr: 6.6551e-02 eta: 1 day, 11:49:36 time: 0.5009 data_time: 0.0341 memory: 18108 grad_norm: 3.3224 loss: 3.9601 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2684 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.6917 2023/02/01 17:52:11 - mmengine - INFO - Epoch(train) [122][ 320/1879] lr: 6.6544e-02 eta: 1 day, 11:49:25 time: 0.4836 data_time: 0.0403 memory: 18108 grad_norm: 3.3482 loss: 4.0031 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3113 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6918 2023/02/01 17:52:21 - mmengine - INFO - Epoch(train) [122][ 340/1879] lr: 6.6537e-02 eta: 1 day, 11:49:14 time: 0.4792 data_time: 0.0330 memory: 18108 grad_norm: 3.3828 loss: 4.1581 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3284 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 1.8296 2023/02/01 17:52:31 - mmengine - INFO - Epoch(train) [122][ 360/1879] lr: 6.6529e-02 eta: 1 day, 11:49:03 time: 0.4876 data_time: 0.0333 memory: 18108 grad_norm: 3.4298 loss: 4.0630 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2925 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.7705 2023/02/01 17:52:40 - mmengine - INFO - Epoch(train) [122][ 380/1879] lr: 6.6522e-02 eta: 1 day, 11:48:53 time: 0.4840 data_time: 0.0340 memory: 18108 grad_norm: 3.3907 loss: 4.3402 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.6570 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6832 2023/02/01 17:52:50 - mmengine - INFO - Epoch(train) [122][ 400/1879] lr: 6.6515e-02 eta: 1 day, 11:48:42 time: 0.4942 data_time: 0.0415 memory: 18108 grad_norm: 3.3235 loss: 4.0826 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 2.4180 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.6646 2023/02/01 17:53:00 - mmengine - INFO - Epoch(train) [122][ 420/1879] lr: 6.6508e-02 eta: 1 day, 11:48:31 time: 0.4871 data_time: 0.0335 memory: 18108 grad_norm: 3.3949 loss: 4.0549 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2733 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.7816 2023/02/01 17:53:10 - mmengine - INFO - Epoch(train) [122][ 440/1879] lr: 6.6501e-02 eta: 1 day, 11:48:21 time: 0.5088 data_time: 0.0343 memory: 18108 grad_norm: 3.3625 loss: 4.1124 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4427 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.6697 2023/02/01 17:53:20 - mmengine - INFO - Epoch(train) [122][ 460/1879] lr: 6.6494e-02 eta: 1 day, 11:48:11 time: 0.4850 data_time: 0.0360 memory: 18108 grad_norm: 3.2942 loss: 4.0600 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3878 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.6722 2023/02/01 17:53:30 - mmengine - INFO - Epoch(train) [122][ 480/1879] lr: 6.6487e-02 eta: 1 day, 11:48:00 time: 0.4922 data_time: 0.0359 memory: 18108 grad_norm: 3.3920 loss: 4.2773 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5951 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.6822 2023/02/01 17:53:40 - mmengine - INFO - Epoch(train) [122][ 500/1879] lr: 6.6480e-02 eta: 1 day, 11:47:50 time: 0.5080 data_time: 0.0330 memory: 18108 grad_norm: 3.3716 loss: 4.0367 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3585 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.6782 2023/02/01 17:53:50 - mmengine - INFO - Epoch(train) [122][ 520/1879] lr: 6.6473e-02 eta: 1 day, 11:47:39 time: 0.4985 data_time: 0.0350 memory: 18108 grad_norm: 3.3510 loss: 4.0369 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2471 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7898 2023/02/01 17:54:00 - mmengine - INFO - Epoch(train) [122][ 540/1879] lr: 6.6465e-02 eta: 1 day, 11:47:29 time: 0.4986 data_time: 0.0449 memory: 18108 grad_norm: 3.3660 loss: 4.0633 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3676 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.6956 2023/02/01 17:54:10 - mmengine - INFO - Epoch(train) [122][ 560/1879] lr: 6.6458e-02 eta: 1 day, 11:47:19 time: 0.4955 data_time: 0.0335 memory: 18108 grad_norm: 3.3524 loss: 4.1388 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4311 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.7077 2023/02/01 17:54:20 - mmengine - INFO - Epoch(train) [122][ 580/1879] lr: 6.6451e-02 eta: 1 day, 11:47:08 time: 0.5056 data_time: 0.0351 memory: 18108 grad_norm: 3.3642 loss: 4.1919 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.4473 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7446 2023/02/01 17:54:30 - mmengine - INFO - Epoch(train) [122][ 600/1879] lr: 6.6444e-02 eta: 1 day, 11:46:58 time: 0.4876 data_time: 0.0399 memory: 18108 grad_norm: 3.3511 loss: 4.1591 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.4311 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.7280 2023/02/01 17:54:40 - mmengine - INFO - Epoch(train) [122][ 620/1879] lr: 6.6437e-02 eta: 1 day, 11:46:47 time: 0.5008 data_time: 0.0360 memory: 18108 grad_norm: 3.4019 loss: 4.1799 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4350 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7449 2023/02/01 17:54:50 - mmengine - INFO - Epoch(train) [122][ 640/1879] lr: 6.6430e-02 eta: 1 day, 11:46:37 time: 0.5042 data_time: 0.0347 memory: 18108 grad_norm: 3.3494 loss: 4.0742 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3475 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.7267 2023/02/01 17:54:50 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 17:55:00 - mmengine - INFO - Epoch(train) [122][ 660/1879] lr: 6.6423e-02 eta: 1 day, 11:46:27 time: 0.5011 data_time: 0.0334 memory: 18108 grad_norm: 3.3547 loss: 4.0131 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3566 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.6565 2023/02/01 17:55:10 - mmengine - INFO - Epoch(train) [122][ 680/1879] lr: 6.6416e-02 eta: 1 day, 11:46:16 time: 0.4868 data_time: 0.0419 memory: 18108 grad_norm: 3.3492 loss: 4.1422 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4635 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.6787 2023/02/01 17:55:20 - mmengine - INFO - Epoch(train) [122][ 700/1879] lr: 6.6409e-02 eta: 1 day, 11:46:06 time: 0.5094 data_time: 0.0346 memory: 18108 grad_norm: 3.2860 loss: 3.9635 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.2625 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.7010 2023/02/01 17:55:30 - mmengine - INFO - Epoch(train) [122][ 720/1879] lr: 6.6401e-02 eta: 1 day, 11:45:55 time: 0.4960 data_time: 0.0357 memory: 18108 grad_norm: 3.3322 loss: 4.4348 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.7058 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.7290 2023/02/01 17:55:40 - mmengine - INFO - Epoch(train) [122][ 740/1879] lr: 6.6394e-02 eta: 1 day, 11:45:45 time: 0.5023 data_time: 0.0347 memory: 18108 grad_norm: 3.2903 loss: 4.0794 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3695 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7099 2023/02/01 17:55:50 - mmengine - INFO - Epoch(train) [122][ 760/1879] lr: 6.6387e-02 eta: 1 day, 11:45:35 time: 0.5009 data_time: 0.0429 memory: 18108 grad_norm: 3.3296 loss: 4.1509 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4531 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.6978 2023/02/01 17:56:00 - mmengine - INFO - Epoch(train) [122][ 780/1879] lr: 6.6380e-02 eta: 1 day, 11:45:24 time: 0.5011 data_time: 0.0338 memory: 18108 grad_norm: 3.3818 loss: 3.8924 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1280 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7644 2023/02/01 17:56:10 - mmengine - INFO - Epoch(train) [122][ 800/1879] lr: 6.6373e-02 eta: 1 day, 11:45:14 time: 0.5034 data_time: 0.0350 memory: 18108 grad_norm: 3.3541 loss: 4.1497 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3862 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.7635 2023/02/01 17:56:20 - mmengine - INFO - Epoch(train) [122][ 820/1879] lr: 6.6366e-02 eta: 1 day, 11:45:04 time: 0.5235 data_time: 0.0322 memory: 18108 grad_norm: 3.2703 loss: 3.9788 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2228 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7560 2023/02/01 17:56:30 - mmengine - INFO - Epoch(train) [122][ 840/1879] lr: 6.6359e-02 eta: 1 day, 11:44:54 time: 0.4981 data_time: 0.0334 memory: 18108 grad_norm: 3.3087 loss: 4.0556 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2474 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.8082 2023/02/01 17:56:40 - mmengine - INFO - Epoch(train) [122][ 860/1879] lr: 6.6352e-02 eta: 1 day, 11:44:43 time: 0.4957 data_time: 0.0340 memory: 18108 grad_norm: 3.4242 loss: 4.2305 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5823 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.6482 2023/02/01 17:56:50 - mmengine - INFO - Epoch(train) [122][ 880/1879] lr: 6.6345e-02 eta: 1 day, 11:44:33 time: 0.5095 data_time: 0.0337 memory: 18108 grad_norm: 3.4087 loss: 4.1287 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 2.3784 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.7504 2023/02/01 17:57:01 - mmengine - INFO - Epoch(train) [122][ 900/1879] lr: 6.6337e-02 eta: 1 day, 11:44:23 time: 0.5201 data_time: 0.0438 memory: 18108 grad_norm: 3.3674 loss: 3.9412 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2817 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.6595 2023/02/01 17:57:11 - mmengine - INFO - Epoch(train) [122][ 920/1879] lr: 6.6330e-02 eta: 1 day, 11:44:13 time: 0.4954 data_time: 0.0339 memory: 18108 grad_norm: 3.3540 loss: 4.2565 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5274 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.7291 2023/02/01 17:57:21 - mmengine - INFO - Epoch(train) [122][ 940/1879] lr: 6.6323e-02 eta: 1 day, 11:44:02 time: 0.5005 data_time: 0.0351 memory: 18108 grad_norm: 3.3800 loss: 4.4641 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.6151 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.8489 2023/02/01 17:57:31 - mmengine - INFO - Epoch(train) [122][ 960/1879] lr: 6.6316e-02 eta: 1 day, 11:43:52 time: 0.5224 data_time: 0.0331 memory: 18108 grad_norm: 3.2679 loss: 4.2250 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.4629 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.7622 2023/02/01 17:57:41 - mmengine - INFO - Epoch(train) [122][ 980/1879] lr: 6.6309e-02 eta: 1 day, 11:43:42 time: 0.5025 data_time: 0.0339 memory: 18108 grad_norm: 3.3104 loss: 4.1745 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3800 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.7945 2023/02/01 17:57:51 - mmengine - INFO - Epoch(train) [122][1000/1879] lr: 6.6302e-02 eta: 1 day, 11:43:32 time: 0.4996 data_time: 0.0346 memory: 18108 grad_norm: 3.3222 loss: 3.9679 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.2396 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.7283 2023/02/01 17:58:02 - mmengine - INFO - Epoch(train) [122][1020/1879] lr: 6.6295e-02 eta: 1 day, 11:43:22 time: 0.5121 data_time: 0.0326 memory: 18108 grad_norm: 3.3304 loss: 4.1089 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3531 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7559 2023/02/01 17:58:12 - mmengine - INFO - Epoch(train) [122][1040/1879] lr: 6.6288e-02 eta: 1 day, 11:43:11 time: 0.5008 data_time: 0.0402 memory: 18108 grad_norm: 3.3575 loss: 4.2657 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5491 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.7166 2023/02/01 17:58:22 - mmengine - INFO - Epoch(train) [122][1060/1879] lr: 6.6280e-02 eta: 1 day, 11:43:01 time: 0.4995 data_time: 0.0351 memory: 18108 grad_norm: 3.3509 loss: 4.2322 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.4164 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.8158 2023/02/01 17:58:32 - mmengine - INFO - Epoch(train) [122][1080/1879] lr: 6.6273e-02 eta: 1 day, 11:42:51 time: 0.5272 data_time: 0.0352 memory: 18108 grad_norm: 3.4179 loss: 4.3505 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.5320 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.8185 2023/02/01 17:58:42 - mmengine - INFO - Epoch(train) [122][1100/1879] lr: 6.6266e-02 eta: 1 day, 11:42:41 time: 0.5092 data_time: 0.0411 memory: 18108 grad_norm: 3.3371 loss: 4.3463 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5918 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7545 2023/02/01 17:58:53 - mmengine - INFO - Epoch(train) [122][1120/1879] lr: 6.6259e-02 eta: 1 day, 11:42:31 time: 0.5067 data_time: 0.0324 memory: 18108 grad_norm: 3.3593 loss: 4.2759 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5325 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.7434 2023/02/01 17:59:03 - mmengine - INFO - Epoch(train) [122][1140/1879] lr: 6.6252e-02 eta: 1 day, 11:42:21 time: 0.5162 data_time: 0.0335 memory: 18108 grad_norm: 3.3515 loss: 4.1234 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3841 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.7392 2023/02/01 17:59:13 - mmengine - INFO - Epoch(train) [122][1160/1879] lr: 6.6245e-02 eta: 1 day, 11:42:11 time: 0.5157 data_time: 0.0352 memory: 18108 grad_norm: 3.3156 loss: 3.8323 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1691 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.6631 2023/02/01 17:59:23 - mmengine - INFO - Epoch(train) [122][1180/1879] lr: 6.6238e-02 eta: 1 day, 11:42:00 time: 0.5055 data_time: 0.0395 memory: 18108 grad_norm: 3.3459 loss: 4.0486 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.2789 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.7697 2023/02/01 17:59:33 - mmengine - INFO - Epoch(train) [122][1200/1879] lr: 6.6231e-02 eta: 1 day, 11:41:50 time: 0.5036 data_time: 0.0344 memory: 18108 grad_norm: 3.4009 loss: 4.3237 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5917 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7320 2023/02/01 17:59:44 - mmengine - INFO - Epoch(train) [122][1220/1879] lr: 6.6223e-02 eta: 1 day, 11:41:40 time: 0.5230 data_time: 0.0333 memory: 18108 grad_norm: 3.3511 loss: 4.1022 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4122 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.6900 2023/02/01 17:59:54 - mmengine - INFO - Epoch(train) [122][1240/1879] lr: 6.6216e-02 eta: 1 day, 11:41:30 time: 0.5145 data_time: 0.0485 memory: 18108 grad_norm: 3.4100 loss: 4.0834 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2682 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.8152 2023/02/01 18:00:04 - mmengine - INFO - Epoch(train) [122][1260/1879] lr: 6.6209e-02 eta: 1 day, 11:41:20 time: 0.5012 data_time: 0.0269 memory: 18108 grad_norm: 3.4141 loss: 4.2539 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5366 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.7173 2023/02/01 18:00:15 - mmengine - INFO - Epoch(train) [122][1280/1879] lr: 6.6202e-02 eta: 1 day, 11:41:10 time: 0.5188 data_time: 0.0383 memory: 18108 grad_norm: 3.3425 loss: 4.2885 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4530 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.8355 2023/02/01 18:00:25 - mmengine - INFO - Epoch(train) [122][1300/1879] lr: 6.6195e-02 eta: 1 day, 11:40:59 time: 0.5031 data_time: 0.0309 memory: 18108 grad_norm: 3.4050 loss: 4.2134 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4265 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7869 2023/02/01 18:00:35 - mmengine - INFO - Epoch(train) [122][1320/1879] lr: 6.6188e-02 eta: 1 day, 11:40:49 time: 0.5136 data_time: 0.0475 memory: 18108 grad_norm: 3.3166 loss: 4.3849 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6350 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7499 2023/02/01 18:00:45 - mmengine - INFO - Epoch(train) [122][1340/1879] lr: 6.6181e-02 eta: 1 day, 11:40:39 time: 0.5143 data_time: 0.0321 memory: 18108 grad_norm: 3.3454 loss: 3.9989 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3172 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.6817 2023/02/01 18:00:55 - mmengine - INFO - Epoch(train) [122][1360/1879] lr: 6.6174e-02 eta: 1 day, 11:40:29 time: 0.5029 data_time: 0.0376 memory: 18108 grad_norm: 3.3384 loss: 4.0655 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3317 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.7338 2023/02/01 18:01:06 - mmengine - INFO - Epoch(train) [122][1380/1879] lr: 6.6166e-02 eta: 1 day, 11:40:19 time: 0.5086 data_time: 0.0306 memory: 18108 grad_norm: 3.3881 loss: 4.2380 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5097 top1_acc_1: 0.5882 top5_acc_1: 0.9059 loss_cls_1: 1.7283 2023/02/01 18:01:16 - mmengine - INFO - Epoch(train) [122][1400/1879] lr: 6.6159e-02 eta: 1 day, 11:40:09 time: 0.5112 data_time: 0.0397 memory: 18108 grad_norm: 3.3701 loss: 4.2509 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5148 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.7361 2023/02/01 18:01:26 - mmengine - INFO - Epoch(train) [122][1420/1879] lr: 6.6152e-02 eta: 1 day, 11:39:58 time: 0.5064 data_time: 0.0306 memory: 18108 grad_norm: 3.4172 loss: 4.2051 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5002 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7049 2023/02/01 18:01:36 - mmengine - INFO - Epoch(train) [122][1440/1879] lr: 6.6145e-02 eta: 1 day, 11:39:48 time: 0.5087 data_time: 0.0400 memory: 18108 grad_norm: 3.3494 loss: 4.2666 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5996 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.6670 2023/02/01 18:01:46 - mmengine - INFO - Epoch(train) [122][1460/1879] lr: 6.6138e-02 eta: 1 day, 11:39:38 time: 0.4982 data_time: 0.0369 memory: 18108 grad_norm: 3.4057 loss: 4.0333 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3256 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.7076 2023/02/01 18:01:56 - mmengine - INFO - Epoch(train) [122][1480/1879] lr: 6.6131e-02 eta: 1 day, 11:39:28 time: 0.5115 data_time: 0.0389 memory: 18108 grad_norm: 3.3862 loss: 4.1855 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4624 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.7231 2023/02/01 18:02:06 - mmengine - INFO - Epoch(train) [122][1500/1879] lr: 6.6124e-02 eta: 1 day, 11:39:17 time: 0.4961 data_time: 0.0299 memory: 18108 grad_norm: 3.4087 loss: 4.2794 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5385 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.7409 2023/02/01 18:02:17 - mmengine - INFO - Epoch(train) [122][1520/1879] lr: 6.6117e-02 eta: 1 day, 11:39:07 time: 0.5202 data_time: 0.0468 memory: 18108 grad_norm: 3.3625 loss: 4.0312 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2631 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.7681 2023/02/01 18:02:27 - mmengine - INFO - Epoch(train) [122][1540/1879] lr: 6.6109e-02 eta: 1 day, 11:38:57 time: 0.5037 data_time: 0.0304 memory: 18108 grad_norm: 3.3631 loss: 4.0333 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2538 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.7795 2023/02/01 18:02:37 - mmengine - INFO - Epoch(train) [122][1560/1879] lr: 6.6102e-02 eta: 1 day, 11:38:47 time: 0.5102 data_time: 0.0395 memory: 18108 grad_norm: 3.3978 loss: 4.2109 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4620 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7489 2023/02/01 18:02:47 - mmengine - INFO - Epoch(train) [122][1580/1879] lr: 6.6095e-02 eta: 1 day, 11:38:37 time: 0.5066 data_time: 0.0375 memory: 18108 grad_norm: 3.4139 loss: 4.0897 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2801 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8096 2023/02/01 18:02:57 - mmengine - INFO - Epoch(train) [122][1600/1879] lr: 6.6088e-02 eta: 1 day, 11:38:26 time: 0.5085 data_time: 0.0376 memory: 18108 grad_norm: 3.3321 loss: 4.1868 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4261 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7608 2023/02/01 18:03:08 - mmengine - INFO - Epoch(train) [122][1620/1879] lr: 6.6081e-02 eta: 1 day, 11:38:16 time: 0.5072 data_time: 0.0299 memory: 18108 grad_norm: 3.3418 loss: 4.2756 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.5038 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.7717 2023/02/01 18:03:17 - mmengine - INFO - Epoch(train) [122][1640/1879] lr: 6.6074e-02 eta: 1 day, 11:38:06 time: 0.4946 data_time: 0.0396 memory: 18108 grad_norm: 3.3906 loss: 4.0340 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2898 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7443 2023/02/01 18:03:18 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 18:03:28 - mmengine - INFO - Epoch(train) [122][1660/1879] lr: 6.6067e-02 eta: 1 day, 11:37:56 time: 0.5205 data_time: 0.0362 memory: 18108 grad_norm: 3.3471 loss: 4.2155 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4504 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.7651 2023/02/01 18:03:38 - mmengine - INFO - Epoch(train) [122][1680/1879] lr: 6.6060e-02 eta: 1 day, 11:37:45 time: 0.5067 data_time: 0.0428 memory: 18108 grad_norm: 3.4108 loss: 4.1778 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4150 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7628 2023/02/01 18:03:48 - mmengine - INFO - Epoch(train) [122][1700/1879] lr: 6.6052e-02 eta: 1 day, 11:37:36 time: 0.5198 data_time: 0.0313 memory: 18108 grad_norm: 3.3800 loss: 4.1413 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3431 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7981 2023/02/01 18:03:59 - mmengine - INFO - Epoch(train) [122][1720/1879] lr: 6.6045e-02 eta: 1 day, 11:37:25 time: 0.5120 data_time: 0.0486 memory: 18108 grad_norm: 3.3107 loss: 4.3742 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7140 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.6602 2023/02/01 18:04:09 - mmengine - INFO - Epoch(train) [122][1740/1879] lr: 6.6038e-02 eta: 1 day, 11:37:16 time: 0.5399 data_time: 0.0293 memory: 18108 grad_norm: 3.3381 loss: 4.1837 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4297 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.7540 2023/02/01 18:04:20 - mmengine - INFO - Epoch(train) [122][1760/1879] lr: 6.6031e-02 eta: 1 day, 11:37:06 time: 0.5217 data_time: 0.0408 memory: 18108 grad_norm: 3.3465 loss: 3.9263 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2543 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.6720 2023/02/01 18:04:30 - mmengine - INFO - Epoch(train) [122][1780/1879] lr: 6.6024e-02 eta: 1 day, 11:36:56 time: 0.5101 data_time: 0.0301 memory: 18108 grad_norm: 3.3096 loss: 4.1186 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3476 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7710 2023/02/01 18:04:41 - mmengine - INFO - Epoch(train) [122][1800/1879] lr: 6.6017e-02 eta: 1 day, 11:36:46 time: 0.5440 data_time: 0.0389 memory: 18108 grad_norm: 3.3232 loss: 4.1499 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.4558 top1_acc_1: 0.6235 top5_acc_1: 0.8941 loss_cls_1: 1.6940 2023/02/01 18:04:51 - mmengine - INFO - Epoch(train) [122][1820/1879] lr: 6.6010e-02 eta: 1 day, 11:36:36 time: 0.5124 data_time: 0.0296 memory: 18108 grad_norm: 3.3280 loss: 4.1038 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4114 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.6924 2023/02/01 18:05:02 - mmengine - INFO - Epoch(train) [122][1840/1879] lr: 6.6002e-02 eta: 1 day, 11:36:27 time: 0.5256 data_time: 0.0365 memory: 18108 grad_norm: 3.3538 loss: 4.2749 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4046 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.8703 2023/02/01 18:05:12 - mmengine - INFO - Epoch(train) [122][1860/1879] lr: 6.5995e-02 eta: 1 day, 11:36:17 time: 0.5302 data_time: 0.0419 memory: 18108 grad_norm: 3.3047 loss: 4.1659 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.5168 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.6491 2023/02/01 18:05:22 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 18:05:22 - mmengine - INFO - Epoch(train) [122][1879/1879] lr: 6.5989e-02 eta: 1 day, 11:36:07 time: 0.5000 data_time: 0.0283 memory: 18108 grad_norm: 3.4597 loss: 4.2179 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 2.4957 top1_acc_1: 0.5294 top5_acc_1: 0.7059 loss_cls_1: 1.7222 2023/02/01 18:05:37 - mmengine - INFO - Epoch(train) [123][ 20/1879] lr: 6.5981e-02 eta: 1 day, 11:36:01 time: 0.7255 data_time: 0.2682 memory: 18108 grad_norm: 3.3585 loss: 4.0731 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.2793 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.7937 2023/02/01 18:05:47 - mmengine - INFO - Epoch(train) [123][ 40/1879] lr: 6.5974e-02 eta: 1 day, 11:35:51 time: 0.4798 data_time: 0.0363 memory: 18108 grad_norm: 3.3074 loss: 4.0641 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4141 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.6501 2023/02/01 18:05:57 - mmengine - INFO - Epoch(train) [123][ 60/1879] lr: 6.5967e-02 eta: 1 day, 11:35:40 time: 0.4975 data_time: 0.0377 memory: 18108 grad_norm: 3.2855 loss: 4.2868 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5887 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.6981 2023/02/01 18:06:07 - mmengine - INFO - Epoch(train) [123][ 80/1879] lr: 6.5960e-02 eta: 1 day, 11:35:30 time: 0.5065 data_time: 0.0464 memory: 18108 grad_norm: 3.3573 loss: 4.1589 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4643 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.6945 2023/02/01 18:06:17 - mmengine - INFO - Epoch(train) [123][ 100/1879] lr: 6.5953e-02 eta: 1 day, 11:35:19 time: 0.4944 data_time: 0.0355 memory: 18108 grad_norm: 3.2951 loss: 3.7912 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1585 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.6327 2023/02/01 18:06:26 - mmengine - INFO - Epoch(train) [123][ 120/1879] lr: 6.5946e-02 eta: 1 day, 11:35:08 time: 0.4768 data_time: 0.0351 memory: 18108 grad_norm: 3.4495 loss: 4.1769 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5156 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.6612 2023/02/01 18:06:37 - mmengine - INFO - Epoch(train) [123][ 140/1879] lr: 6.5939e-02 eta: 1 day, 11:34:59 time: 0.5188 data_time: 0.0351 memory: 18108 grad_norm: 3.3514 loss: 4.1003 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3765 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.7238 2023/02/01 18:06:46 - mmengine - INFO - Epoch(train) [123][ 160/1879] lr: 6.5931e-02 eta: 1 day, 11:34:48 time: 0.4858 data_time: 0.0330 memory: 18108 grad_norm: 3.4073 loss: 4.1808 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4657 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.7150 2023/02/01 18:06:56 - mmengine - INFO - Epoch(train) [123][ 180/1879] lr: 6.5924e-02 eta: 1 day, 11:34:37 time: 0.4888 data_time: 0.0359 memory: 18108 grad_norm: 3.3519 loss: 4.0588 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4026 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.6561 2023/02/01 18:07:06 - mmengine - INFO - Epoch(train) [123][ 200/1879] lr: 6.5917e-02 eta: 1 day, 11:34:26 time: 0.4829 data_time: 0.0350 memory: 18108 grad_norm: 3.3092 loss: 3.8519 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1406 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.7112 2023/02/01 18:07:16 - mmengine - INFO - Epoch(train) [123][ 220/1879] lr: 6.5910e-02 eta: 1 day, 11:34:17 time: 0.5234 data_time: 0.0415 memory: 18108 grad_norm: 3.3887 loss: 4.1330 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4585 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.6745 2023/02/01 18:07:26 - mmengine - INFO - Epoch(train) [123][ 240/1879] lr: 6.5903e-02 eta: 1 day, 11:34:06 time: 0.4857 data_time: 0.0338 memory: 18108 grad_norm: 3.4253 loss: 4.1296 top1_acc_0: 0.1250 top5_acc_0: 0.6875 loss_cls_0: 2.3700 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.7596 2023/02/01 18:07:36 - mmengine - INFO - Epoch(train) [123][ 260/1879] lr: 6.5896e-02 eta: 1 day, 11:33:55 time: 0.4998 data_time: 0.0371 memory: 18108 grad_norm: 3.4379 loss: 4.1527 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4296 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.7231 2023/02/01 18:07:46 - mmengine - INFO - Epoch(train) [123][ 280/1879] lr: 6.5889e-02 eta: 1 day, 11:33:45 time: 0.4943 data_time: 0.0342 memory: 18108 grad_norm: 3.3548 loss: 4.2102 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.5259 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.6843 2023/02/01 18:07:56 - mmengine - INFO - Epoch(train) [123][ 300/1879] lr: 6.5881e-02 eta: 1 day, 11:33:35 time: 0.5078 data_time: 0.0418 memory: 18108 grad_norm: 3.3074 loss: 4.1791 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.4632 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.7158 2023/02/01 18:08:06 - mmengine - INFO - Epoch(train) [123][ 320/1879] lr: 6.5874e-02 eta: 1 day, 11:33:24 time: 0.4808 data_time: 0.0340 memory: 18108 grad_norm: 3.4078 loss: 4.1979 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4658 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.7321 2023/02/01 18:08:16 - mmengine - INFO - Epoch(train) [123][ 340/1879] lr: 6.5867e-02 eta: 1 day, 11:33:14 time: 0.4993 data_time: 0.0357 memory: 18108 grad_norm: 3.3566 loss: 4.0604 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3745 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.6859 2023/02/01 18:08:26 - mmengine - INFO - Epoch(train) [123][ 360/1879] lr: 6.5860e-02 eta: 1 day, 11:33:04 time: 0.5166 data_time: 0.0318 memory: 18108 grad_norm: 3.3351 loss: 4.2344 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4451 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.7893 2023/02/01 18:08:36 - mmengine - INFO - Epoch(train) [123][ 380/1879] lr: 6.5853e-02 eta: 1 day, 11:32:53 time: 0.4929 data_time: 0.0419 memory: 18108 grad_norm: 3.3689 loss: 4.0983 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4230 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.6753 2023/02/01 18:08:46 - mmengine - INFO - Epoch(train) [123][ 400/1879] lr: 6.5846e-02 eta: 1 day, 11:32:43 time: 0.4949 data_time: 0.0334 memory: 18108 grad_norm: 3.3232 loss: 3.9919 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2296 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.7623 2023/02/01 18:08:56 - mmengine - INFO - Epoch(train) [123][ 420/1879] lr: 6.5839e-02 eta: 1 day, 11:32:32 time: 0.4985 data_time: 0.0345 memory: 18108 grad_norm: 3.3460 loss: 3.8949 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1597 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.7352 2023/02/01 18:09:06 - mmengine - INFO - Epoch(train) [123][ 440/1879] lr: 6.5831e-02 eta: 1 day, 11:32:22 time: 0.5012 data_time: 0.0318 memory: 18108 grad_norm: 3.3671 loss: 3.8967 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1964 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7003 2023/02/01 18:09:16 - mmengine - INFO - Epoch(train) [123][ 460/1879] lr: 6.5824e-02 eta: 1 day, 11:32:12 time: 0.5070 data_time: 0.0344 memory: 18108 grad_norm: 3.3565 loss: 4.0810 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3770 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.7041 2023/02/01 18:09:26 - mmengine - INFO - Epoch(train) [123][ 480/1879] lr: 6.5817e-02 eta: 1 day, 11:32:01 time: 0.4896 data_time: 0.0343 memory: 18108 grad_norm: 3.4389 loss: 4.3533 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6807 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.6727 2023/02/01 18:09:36 - mmengine - INFO - Epoch(train) [123][ 500/1879] lr: 6.5810e-02 eta: 1 day, 11:31:51 time: 0.5198 data_time: 0.0359 memory: 18108 grad_norm: 3.4179 loss: 4.1319 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4100 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.7219 2023/02/01 18:09:46 - mmengine - INFO - Epoch(train) [123][ 520/1879] lr: 6.5803e-02 eta: 1 day, 11:31:41 time: 0.5027 data_time: 0.0347 memory: 18108 grad_norm: 3.4516 loss: 3.9297 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.2032 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.7265 2023/02/01 18:09:56 - mmengine - INFO - Epoch(train) [123][ 540/1879] lr: 6.5796e-02 eta: 1 day, 11:31:30 time: 0.5006 data_time: 0.0439 memory: 18108 grad_norm: 3.3401 loss: 3.9154 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1473 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7681 2023/02/01 18:10:06 - mmengine - INFO - Epoch(train) [123][ 560/1879] lr: 6.5789e-02 eta: 1 day, 11:31:20 time: 0.5046 data_time: 0.0331 memory: 18108 grad_norm: 3.3684 loss: 4.2016 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4205 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.7810 2023/02/01 18:10:17 - mmengine - INFO - Epoch(train) [123][ 580/1879] lr: 6.5781e-02 eta: 1 day, 11:31:10 time: 0.5133 data_time: 0.0364 memory: 18108 grad_norm: 3.3710 loss: 4.1291 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3939 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7352 2023/02/01 18:10:27 - mmengine - INFO - Epoch(train) [123][ 600/1879] lr: 6.5774e-02 eta: 1 day, 11:30:59 time: 0.4891 data_time: 0.0351 memory: 18108 grad_norm: 3.3090 loss: 4.0997 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.3767 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.7230 2023/02/01 18:10:37 - mmengine - INFO - Epoch(train) [123][ 620/1879] lr: 6.5767e-02 eta: 1 day, 11:30:49 time: 0.5159 data_time: 0.0430 memory: 18108 grad_norm: 3.4156 loss: 4.1946 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5708 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.6237 2023/02/01 18:10:47 - mmengine - INFO - Epoch(train) [123][ 640/1879] lr: 6.5760e-02 eta: 1 day, 11:30:39 time: 0.5180 data_time: 0.0317 memory: 18108 grad_norm: 3.3685 loss: 4.2546 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5059 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.7487 2023/02/01 18:10:57 - mmengine - INFO - Epoch(train) [123][ 660/1879] lr: 6.5753e-02 eta: 1 day, 11:30:29 time: 0.5102 data_time: 0.0358 memory: 18108 grad_norm: 3.3541 loss: 4.0627 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3821 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.6806 2023/02/01 18:11:08 - mmengine - INFO - Epoch(train) [123][ 680/1879] lr: 6.5746e-02 eta: 1 day, 11:30:19 time: 0.5047 data_time: 0.0386 memory: 18108 grad_norm: 3.4295 loss: 4.1439 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4468 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.6970 2023/02/01 18:11:18 - mmengine - INFO - Epoch(train) [123][ 700/1879] lr: 6.5739e-02 eta: 1 day, 11:30:09 time: 0.5237 data_time: 0.0350 memory: 18108 grad_norm: 3.3419 loss: 4.3251 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5418 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 1.7833 2023/02/01 18:11:28 - mmengine - INFO - Epoch(train) [123][ 720/1879] lr: 6.5731e-02 eta: 1 day, 11:29:59 time: 0.5033 data_time: 0.0331 memory: 18108 grad_norm: 3.3754 loss: 4.0757 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.4257 top1_acc_1: 0.5059 top5_acc_1: 0.8941 loss_cls_1: 1.6500 2023/02/01 18:11:38 - mmengine - INFO - Epoch(train) [123][ 740/1879] lr: 6.5724e-02 eta: 1 day, 11:29:49 time: 0.5116 data_time: 0.0369 memory: 18108 grad_norm: 3.3669 loss: 4.2547 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 2.4956 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7591 2023/02/01 18:11:49 - mmengine - INFO - Epoch(train) [123][ 760/1879] lr: 6.5717e-02 eta: 1 day, 11:29:39 time: 0.5225 data_time: 0.0352 memory: 18108 grad_norm: 3.3913 loss: 4.4157 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.6908 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.7249 2023/02/01 18:11:50 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 18:11:59 - mmengine - INFO - Epoch(train) [123][ 780/1879] lr: 6.5710e-02 eta: 1 day, 11:29:29 time: 0.5088 data_time: 0.0356 memory: 18108 grad_norm: 3.3737 loss: 4.1908 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4120 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.7788 2023/02/01 18:12:09 - mmengine - INFO - Epoch(train) [123][ 800/1879] lr: 6.5703e-02 eta: 1 day, 11:29:18 time: 0.5072 data_time: 0.0339 memory: 18108 grad_norm: 3.3558 loss: 4.2194 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4962 top1_acc_1: 0.4588 top5_acc_1: 0.8000 loss_cls_1: 1.7233 2023/02/01 18:12:19 - mmengine - INFO - Epoch(train) [123][ 820/1879] lr: 6.5696e-02 eta: 1 day, 11:29:08 time: 0.5080 data_time: 0.0352 memory: 18108 grad_norm: 3.3745 loss: 4.2884 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4911 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 1.7973 2023/02/01 18:12:30 - mmengine - INFO - Epoch(train) [123][ 840/1879] lr: 6.5689e-02 eta: 1 day, 11:28:58 time: 0.5184 data_time: 0.0315 memory: 18108 grad_norm: 3.4218 loss: 4.0261 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2430 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.7831 2023/02/01 18:12:40 - mmengine - INFO - Epoch(train) [123][ 860/1879] lr: 6.5681e-02 eta: 1 day, 11:28:48 time: 0.5012 data_time: 0.0380 memory: 18108 grad_norm: 3.4106 loss: 4.1179 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2573 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.8606 2023/02/01 18:12:50 - mmengine - INFO - Epoch(train) [123][ 880/1879] lr: 6.5674e-02 eta: 1 day, 11:28:38 time: 0.5213 data_time: 0.0336 memory: 18108 grad_norm: 3.3967 loss: 4.2469 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5354 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.7115 2023/02/01 18:13:01 - mmengine - INFO - Epoch(train) [123][ 900/1879] lr: 6.5667e-02 eta: 1 day, 11:28:28 time: 0.5193 data_time: 0.0428 memory: 18108 grad_norm: 3.3454 loss: 4.3864 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6728 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7137 2023/02/01 18:13:11 - mmengine - INFO - Epoch(train) [123][ 920/1879] lr: 6.5660e-02 eta: 1 day, 11:28:18 time: 0.5139 data_time: 0.0338 memory: 18108 grad_norm: 3.4551 loss: 4.4521 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6992 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.7529 2023/02/01 18:13:21 - mmengine - INFO - Epoch(train) [123][ 940/1879] lr: 6.5653e-02 eta: 1 day, 11:28:08 time: 0.5056 data_time: 0.0340 memory: 18108 grad_norm: 3.3792 loss: 4.2641 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.4886 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7755 2023/02/01 18:13:32 - mmengine - INFO - Epoch(train) [123][ 960/1879] lr: 6.5646e-02 eta: 1 day, 11:27:58 time: 0.5257 data_time: 0.0319 memory: 18108 grad_norm: 3.2853 loss: 4.1029 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.3884 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.7145 2023/02/01 18:13:42 - mmengine - INFO - Epoch(train) [123][ 980/1879] lr: 6.5638e-02 eta: 1 day, 11:27:48 time: 0.5243 data_time: 0.0396 memory: 18108 grad_norm: 3.3659 loss: 4.0679 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2993 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.7687 2023/02/01 18:13:52 - mmengine - INFO - Epoch(train) [123][1000/1879] lr: 6.5631e-02 eta: 1 day, 11:27:38 time: 0.5143 data_time: 0.0318 memory: 18108 grad_norm: 3.4513 loss: 4.0607 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.2687 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7919 2023/02/01 18:14:03 - mmengine - INFO - Epoch(train) [123][1020/1879] lr: 6.5624e-02 eta: 1 day, 11:27:28 time: 0.5066 data_time: 0.0335 memory: 18108 grad_norm: 3.3820 loss: 4.3331 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5992 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.7339 2023/02/01 18:14:13 - mmengine - INFO - Epoch(train) [123][1040/1879] lr: 6.5617e-02 eta: 1 day, 11:27:18 time: 0.5275 data_time: 0.0323 memory: 18108 grad_norm: 3.3925 loss: 4.1493 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3651 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.7843 2023/02/01 18:14:23 - mmengine - INFO - Epoch(train) [123][1060/1879] lr: 6.5610e-02 eta: 1 day, 11:27:08 time: 0.5033 data_time: 0.0354 memory: 18108 grad_norm: 3.3863 loss: 4.4084 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.7318 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.6766 2023/02/01 18:14:34 - mmengine - INFO - Epoch(train) [123][1080/1879] lr: 6.5603e-02 eta: 1 day, 11:26:58 time: 0.5168 data_time: 0.0336 memory: 18108 grad_norm: 3.3606 loss: 4.2117 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.4068 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.8049 2023/02/01 18:14:44 - mmengine - INFO - Epoch(train) [123][1100/1879] lr: 6.5596e-02 eta: 1 day, 11:26:47 time: 0.5123 data_time: 0.0341 memory: 18108 grad_norm: 3.3338 loss: 3.9965 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3652 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.6313 2023/02/01 18:14:54 - mmengine - INFO - Epoch(train) [123][1120/1879] lr: 6.5588e-02 eta: 1 day, 11:26:38 time: 0.5242 data_time: 0.0379 memory: 18108 grad_norm: 3.4315 loss: 3.9538 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2486 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.7052 2023/02/01 18:15:04 - mmengine - INFO - Epoch(train) [123][1140/1879] lr: 6.5581e-02 eta: 1 day, 11:26:27 time: 0.5055 data_time: 0.0349 memory: 18108 grad_norm: 3.3927 loss: 4.3830 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5877 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7953 2023/02/01 18:15:15 - mmengine - INFO - Epoch(train) [123][1160/1879] lr: 6.5574e-02 eta: 1 day, 11:26:17 time: 0.5247 data_time: 0.0347 memory: 18108 grad_norm: 3.4917 loss: 4.0419 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3512 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.6908 2023/02/01 18:15:25 - mmengine - INFO - Epoch(train) [123][1180/1879] lr: 6.5567e-02 eta: 1 day, 11:26:07 time: 0.4995 data_time: 0.0336 memory: 18108 grad_norm: 3.4469 loss: 4.0330 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.3359 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.6972 2023/02/01 18:15:35 - mmengine - INFO - Epoch(train) [123][1200/1879] lr: 6.5560e-02 eta: 1 day, 11:25:57 time: 0.5229 data_time: 0.0387 memory: 18108 grad_norm: 3.3541 loss: 4.3650 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5340 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.8310 2023/02/01 18:15:46 - mmengine - INFO - Epoch(train) [123][1220/1879] lr: 6.5553e-02 eta: 1 day, 11:25:47 time: 0.5125 data_time: 0.0338 memory: 18108 grad_norm: 3.2914 loss: 4.0345 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3663 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.6682 2023/02/01 18:15:56 - mmengine - INFO - Epoch(train) [123][1240/1879] lr: 6.5545e-02 eta: 1 day, 11:25:37 time: 0.5110 data_time: 0.0332 memory: 18108 grad_norm: 3.3240 loss: 4.2330 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4378 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7952 2023/02/01 18:16:06 - mmengine - INFO - Epoch(train) [123][1260/1879] lr: 6.5538e-02 eta: 1 day, 11:25:27 time: 0.5126 data_time: 0.0332 memory: 18108 grad_norm: 3.3207 loss: 3.9437 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2262 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7175 2023/02/01 18:16:17 - mmengine - INFO - Epoch(train) [123][1280/1879] lr: 6.5531e-02 eta: 1 day, 11:25:17 time: 0.5319 data_time: 0.0407 memory: 18108 grad_norm: 3.4179 loss: 4.3868 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6923 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.6944 2023/02/01 18:16:27 - mmengine - INFO - Epoch(train) [123][1300/1879] lr: 6.5524e-02 eta: 1 day, 11:25:07 time: 0.5106 data_time: 0.0325 memory: 18108 grad_norm: 3.3698 loss: 4.3171 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5153 top1_acc_1: 0.6235 top5_acc_1: 0.7529 loss_cls_1: 1.8018 2023/02/01 18:16:38 - mmengine - INFO - Epoch(train) [123][1320/1879] lr: 6.5517e-02 eta: 1 day, 11:24:57 time: 0.5254 data_time: 0.0331 memory: 18108 grad_norm: 3.4205 loss: 4.1565 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4299 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.7266 2023/02/01 18:16:48 - mmengine - INFO - Epoch(train) [123][1340/1879] lr: 6.5510e-02 eta: 1 day, 11:24:47 time: 0.5150 data_time: 0.0344 memory: 18108 grad_norm: 3.4467 loss: 4.3150 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4348 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.8802 2023/02/01 18:16:59 - mmengine - INFO - Epoch(train) [123][1360/1879] lr: 6.5502e-02 eta: 1 day, 11:24:37 time: 0.5309 data_time: 0.0365 memory: 18108 grad_norm: 3.3850 loss: 4.1754 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4997 top1_acc_1: 0.4941 top5_acc_1: 0.6941 loss_cls_1: 1.6757 2023/02/01 18:17:09 - mmengine - INFO - Epoch(train) [123][1380/1879] lr: 6.5495e-02 eta: 1 day, 11:24:27 time: 0.5067 data_time: 0.0368 memory: 18108 grad_norm: 3.3588 loss: 4.2297 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4531 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7766 2023/02/01 18:17:19 - mmengine - INFO - Epoch(train) [123][1400/1879] lr: 6.5488e-02 eta: 1 day, 11:24:18 time: 0.5340 data_time: 0.0299 memory: 18108 grad_norm: 3.4200 loss: 4.0920 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.2966 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.7955 2023/02/01 18:17:30 - mmengine - INFO - Epoch(train) [123][1420/1879] lr: 6.5481e-02 eta: 1 day, 11:24:08 time: 0.5166 data_time: 0.0408 memory: 18108 grad_norm: 3.4438 loss: 3.9788 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2714 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.7074 2023/02/01 18:17:40 - mmengine - INFO - Epoch(train) [123][1440/1879] lr: 6.5474e-02 eta: 1 day, 11:23:58 time: 0.5192 data_time: 0.0309 memory: 18108 grad_norm: 3.3617 loss: 4.1882 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3734 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.8148 2023/02/01 18:17:50 - mmengine - INFO - Epoch(train) [123][1460/1879] lr: 6.5467e-02 eta: 1 day, 11:23:48 time: 0.5136 data_time: 0.0354 memory: 18108 grad_norm: 3.4319 loss: 4.1482 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3491 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7991 2023/02/01 18:18:01 - mmengine - INFO - Epoch(train) [123][1480/1879] lr: 6.5460e-02 eta: 1 day, 11:23:38 time: 0.5199 data_time: 0.0378 memory: 18108 grad_norm: 3.3168 loss: 4.0864 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4412 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.6452 2023/02/01 18:18:11 - mmengine - INFO - Epoch(train) [123][1500/1879] lr: 6.5452e-02 eta: 1 day, 11:23:27 time: 0.5121 data_time: 0.0356 memory: 18108 grad_norm: 3.3448 loss: 4.1446 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3889 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.7557 2023/02/01 18:18:21 - mmengine - INFO - Epoch(train) [123][1520/1879] lr: 6.5445e-02 eta: 1 day, 11:23:17 time: 0.5101 data_time: 0.0298 memory: 18108 grad_norm: 3.3023 loss: 3.8269 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.0476 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7793 2023/02/01 18:18:32 - mmengine - INFO - Epoch(train) [123][1540/1879] lr: 6.5438e-02 eta: 1 day, 11:23:08 time: 0.5377 data_time: 0.0426 memory: 18108 grad_norm: 3.3501 loss: 4.0491 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3204 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.7287 2023/02/01 18:18:42 - mmengine - INFO - Epoch(train) [123][1560/1879] lr: 6.5431e-02 eta: 1 day, 11:22:58 time: 0.5134 data_time: 0.0316 memory: 18108 grad_norm: 3.3383 loss: 4.2802 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5919 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.6883 2023/02/01 18:18:53 - mmengine - INFO - Epoch(train) [123][1580/1879] lr: 6.5424e-02 eta: 1 day, 11:22:47 time: 0.5058 data_time: 0.0367 memory: 18108 grad_norm: 3.3296 loss: 4.2956 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5918 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7038 2023/02/01 18:19:03 - mmengine - INFO - Epoch(train) [123][1600/1879] lr: 6.5417e-02 eta: 1 day, 11:22:38 time: 0.5330 data_time: 0.0393 memory: 18108 grad_norm: 3.4353 loss: 4.3346 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5824 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7522 2023/02/01 18:19:13 - mmengine - INFO - Epoch(train) [123][1620/1879] lr: 6.5409e-02 eta: 1 day, 11:22:28 time: 0.5082 data_time: 0.0403 memory: 18108 grad_norm: 3.3693 loss: 4.2198 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4591 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.7608 2023/02/01 18:19:23 - mmengine - INFO - Epoch(train) [123][1640/1879] lr: 6.5402e-02 eta: 1 day, 11:22:17 time: 0.5052 data_time: 0.0303 memory: 18108 grad_norm: 3.3753 loss: 4.3546 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4879 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.8667 2023/02/01 18:19:34 - mmengine - INFO - Epoch(train) [123][1660/1879] lr: 6.5395e-02 eta: 1 day, 11:22:07 time: 0.5050 data_time: 0.0339 memory: 18108 grad_norm: 3.3174 loss: 4.0792 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3521 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7271 2023/02/01 18:19:44 - mmengine - INFO - Epoch(train) [123][1680/1879] lr: 6.5388e-02 eta: 1 day, 11:21:57 time: 0.5116 data_time: 0.0298 memory: 18108 grad_norm: 3.3628 loss: 4.1261 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4425 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.6837 2023/02/01 18:19:54 - mmengine - INFO - Epoch(train) [123][1700/1879] lr: 6.5381e-02 eta: 1 day, 11:21:47 time: 0.5079 data_time: 0.0364 memory: 18108 grad_norm: 3.4164 loss: 4.0843 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 2.2836 top1_acc_1: 0.5294 top5_acc_1: 0.7294 loss_cls_1: 1.8008 2023/02/01 18:20:04 - mmengine - INFO - Epoch(train) [123][1720/1879] lr: 6.5374e-02 eta: 1 day, 11:21:36 time: 0.5055 data_time: 0.0317 memory: 18108 grad_norm: 3.3281 loss: 4.1874 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4257 top1_acc_1: 0.6588 top5_acc_1: 0.7882 loss_cls_1: 1.7617 2023/02/01 18:20:15 - mmengine - INFO - Epoch(train) [123][1740/1879] lr: 6.5366e-02 eta: 1 day, 11:21:27 time: 0.5223 data_time: 0.0450 memory: 18108 grad_norm: 3.3262 loss: 4.0281 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2983 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.7299 2023/02/01 18:20:25 - mmengine - INFO - Epoch(train) [123][1760/1879] lr: 6.5359e-02 eta: 1 day, 11:21:16 time: 0.4953 data_time: 0.0330 memory: 18108 grad_norm: 3.4066 loss: 4.0433 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3323 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7110 2023/02/01 18:20:26 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 18:20:34 - mmengine - INFO - Epoch(train) [123][1780/1879] lr: 6.5352e-02 eta: 1 day, 11:21:06 time: 0.4981 data_time: 0.0366 memory: 18108 grad_norm: 3.3305 loss: 4.2227 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.5008 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.7219 2023/02/01 18:20:45 - mmengine - INFO - Epoch(train) [123][1800/1879] lr: 6.5345e-02 eta: 1 day, 11:20:55 time: 0.5016 data_time: 0.0374 memory: 18108 grad_norm: 3.3593 loss: 4.1439 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4273 top1_acc_1: 0.5294 top5_acc_1: 0.8706 loss_cls_1: 1.7167 2023/02/01 18:20:55 - mmengine - INFO - Epoch(train) [123][1820/1879] lr: 6.5338e-02 eta: 1 day, 11:20:45 time: 0.5093 data_time: 0.0376 memory: 18108 grad_norm: 3.3020 loss: 4.2448 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3951 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.8497 2023/02/01 18:21:05 - mmengine - INFO - Epoch(train) [123][1840/1879] lr: 6.5331e-02 eta: 1 day, 11:20:35 time: 0.4912 data_time: 0.0323 memory: 18108 grad_norm: 3.3790 loss: 3.9552 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2725 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.6827 2023/02/01 18:21:15 - mmengine - INFO - Epoch(train) [123][1860/1879] lr: 6.5323e-02 eta: 1 day, 11:20:24 time: 0.5064 data_time: 0.0439 memory: 18108 grad_norm: 3.3101 loss: 4.3482 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.5150 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.8332 2023/02/01 18:21:24 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 18:21:24 - mmengine - INFO - Epoch(train) [123][1879/1879] lr: 6.5317e-02 eta: 1 day, 11:20:14 time: 0.4842 data_time: 0.0265 memory: 18108 grad_norm: 3.4426 loss: 4.4114 top1_acc_0: 0.4286 top5_acc_0: 0.5714 loss_cls_0: 2.5495 top1_acc_1: 0.6000 top5_acc_1: 0.7176 loss_cls_1: 1.8619 2023/02/01 18:21:39 - mmengine - INFO - Epoch(train) [124][ 20/1879] lr: 6.5309e-02 eta: 1 day, 11:20:08 time: 0.7118 data_time: 0.2633 memory: 18108 grad_norm: 3.3574 loss: 4.1304 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3835 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7469 2023/02/01 18:21:48 - mmengine - INFO - Epoch(train) [124][ 40/1879] lr: 6.5302e-02 eta: 1 day, 11:19:57 time: 0.4729 data_time: 0.0358 memory: 18108 grad_norm: 3.2833 loss: 3.9883 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.2975 top1_acc_1: 0.6588 top5_acc_1: 0.7882 loss_cls_1: 1.6907 2023/02/01 18:21:58 - mmengine - INFO - Epoch(train) [124][ 60/1879] lr: 6.5295e-02 eta: 1 day, 11:19:47 time: 0.4847 data_time: 0.0368 memory: 18108 grad_norm: 3.3897 loss: 4.0315 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3794 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.6521 2023/02/01 18:22:09 - mmengine - INFO - Epoch(train) [124][ 80/1879] lr: 6.5288e-02 eta: 1 day, 11:19:37 time: 0.5200 data_time: 0.0343 memory: 18108 grad_norm: 3.3810 loss: 3.9621 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3051 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.6570 2023/02/01 18:22:18 - mmengine - INFO - Epoch(train) [124][ 100/1879] lr: 6.5281e-02 eta: 1 day, 11:19:26 time: 0.4774 data_time: 0.0368 memory: 18108 grad_norm: 3.3229 loss: 4.1513 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.5433 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.6080 2023/02/01 18:22:28 - mmengine - INFO - Epoch(train) [124][ 120/1879] lr: 6.5274e-02 eta: 1 day, 11:19:15 time: 0.4721 data_time: 0.0332 memory: 18108 grad_norm: 3.3000 loss: 3.9386 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2619 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6767 2023/02/01 18:22:37 - mmengine - INFO - Epoch(train) [124][ 140/1879] lr: 6.5266e-02 eta: 1 day, 11:19:04 time: 0.4919 data_time: 0.0344 memory: 18108 grad_norm: 3.3999 loss: 4.1927 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5053 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.6875 2023/02/01 18:22:47 - mmengine - INFO - Epoch(train) [124][ 160/1879] lr: 6.5259e-02 eta: 1 day, 11:18:54 time: 0.4967 data_time: 0.0398 memory: 18108 grad_norm: 3.4018 loss: 4.1220 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4946 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.6274 2023/02/01 18:22:57 - mmengine - INFO - Epoch(train) [124][ 180/1879] lr: 6.5252e-02 eta: 1 day, 11:18:43 time: 0.4831 data_time: 0.0371 memory: 18108 grad_norm: 3.4507 loss: 3.9419 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.3283 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.6136 2023/02/01 18:23:07 - mmengine - INFO - Epoch(train) [124][ 200/1879] lr: 6.5245e-02 eta: 1 day, 11:18:32 time: 0.4770 data_time: 0.0365 memory: 18108 grad_norm: 3.3804 loss: 4.0178 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2510 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.7668 2023/02/01 18:23:17 - mmengine - INFO - Epoch(train) [124][ 220/1879] lr: 6.5238e-02 eta: 1 day, 11:18:22 time: 0.5081 data_time: 0.0440 memory: 18108 grad_norm: 3.4075 loss: 4.2163 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.5371 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.6793 2023/02/01 18:23:27 - mmengine - INFO - Epoch(train) [124][ 240/1879] lr: 6.5231e-02 eta: 1 day, 11:18:11 time: 0.4833 data_time: 0.0293 memory: 18108 grad_norm: 3.4171 loss: 4.1106 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3603 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.7504 2023/02/01 18:23:36 - mmengine - INFO - Epoch(train) [124][ 260/1879] lr: 6.5223e-02 eta: 1 day, 11:18:01 time: 0.4876 data_time: 0.0409 memory: 18108 grad_norm: 3.3724 loss: 4.2045 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.3657 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.8388 2023/02/01 18:23:46 - mmengine - INFO - Epoch(train) [124][ 280/1879] lr: 6.5216e-02 eta: 1 day, 11:17:50 time: 0.4753 data_time: 0.0305 memory: 18108 grad_norm: 3.3479 loss: 3.8572 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.1245 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.7327 2023/02/01 18:23:56 - mmengine - INFO - Epoch(train) [124][ 300/1879] lr: 6.5209e-02 eta: 1 day, 11:17:40 time: 0.5081 data_time: 0.0457 memory: 18108 grad_norm: 3.3969 loss: 4.2279 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.4648 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7632 2023/02/01 18:24:06 - mmengine - INFO - Epoch(train) [124][ 320/1879] lr: 6.5202e-02 eta: 1 day, 11:17:29 time: 0.4778 data_time: 0.0302 memory: 18108 grad_norm: 3.3001 loss: 3.9672 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1549 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 1.8124 2023/02/01 18:24:15 - mmengine - INFO - Epoch(train) [124][ 340/1879] lr: 6.5195e-02 eta: 1 day, 11:17:18 time: 0.4892 data_time: 0.0384 memory: 18108 grad_norm: 3.2972 loss: 4.1422 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4412 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.7009 2023/02/01 18:24:25 - mmengine - INFO - Epoch(train) [124][ 360/1879] lr: 6.5187e-02 eta: 1 day, 11:17:07 time: 0.4822 data_time: 0.0295 memory: 18108 grad_norm: 3.3936 loss: 3.9710 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2127 top1_acc_1: 0.6118 top5_acc_1: 0.7529 loss_cls_1: 1.7583 2023/02/01 18:24:35 - mmengine - INFO - Epoch(train) [124][ 380/1879] lr: 6.5180e-02 eta: 1 day, 11:16:57 time: 0.5089 data_time: 0.0360 memory: 18108 grad_norm: 3.4356 loss: 4.1559 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4232 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7326 2023/02/01 18:24:45 - mmengine - INFO - Epoch(train) [124][ 400/1879] lr: 6.5173e-02 eta: 1 day, 11:16:46 time: 0.4713 data_time: 0.0282 memory: 18108 grad_norm: 3.3029 loss: 4.0957 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.4356 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.6602 2023/02/01 18:24:55 - mmengine - INFO - Epoch(train) [124][ 420/1879] lr: 6.5166e-02 eta: 1 day, 11:16:36 time: 0.4962 data_time: 0.0437 memory: 18108 grad_norm: 3.3788 loss: 4.2567 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.5368 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 1.7199 2023/02/01 18:25:04 - mmengine - INFO - Epoch(train) [124][ 440/1879] lr: 6.5159e-02 eta: 1 day, 11:16:25 time: 0.4783 data_time: 0.0303 memory: 18108 grad_norm: 3.3404 loss: 3.9907 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.3914 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.5993 2023/02/01 18:25:14 - mmengine - INFO - Epoch(train) [124][ 460/1879] lr: 6.5152e-02 eta: 1 day, 11:16:15 time: 0.5005 data_time: 0.0383 memory: 18108 grad_norm: 3.3259 loss: 4.1307 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4100 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7207 2023/02/01 18:25:24 - mmengine - INFO - Epoch(train) [124][ 480/1879] lr: 6.5144e-02 eta: 1 day, 11:16:04 time: 0.4798 data_time: 0.0321 memory: 18108 grad_norm: 3.4339 loss: 4.0641 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.3934 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6707 2023/02/01 18:25:34 - mmengine - INFO - Epoch(train) [124][ 500/1879] lr: 6.5137e-02 eta: 1 day, 11:15:53 time: 0.4959 data_time: 0.0451 memory: 18108 grad_norm: 3.3904 loss: 4.1200 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4299 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.6900 2023/02/01 18:25:44 - mmengine - INFO - Epoch(train) [124][ 520/1879] lr: 6.5130e-02 eta: 1 day, 11:15:43 time: 0.4973 data_time: 0.0293 memory: 18108 grad_norm: 3.3013 loss: 4.2923 top1_acc_0: 0.3125 top5_acc_0: 0.8750 loss_cls_0: 2.5486 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.7437 2023/02/01 18:25:54 - mmengine - INFO - Epoch(train) [124][ 540/1879] lr: 6.5123e-02 eta: 1 day, 11:15:32 time: 0.4902 data_time: 0.0394 memory: 18108 grad_norm: 3.3930 loss: 4.1703 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3976 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7727 2023/02/01 18:26:03 - mmengine - INFO - Epoch(train) [124][ 560/1879] lr: 6.5116e-02 eta: 1 day, 11:15:21 time: 0.4811 data_time: 0.0383 memory: 18108 grad_norm: 3.3839 loss: 4.3406 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5421 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7985 2023/02/01 18:26:13 - mmengine - INFO - Epoch(train) [124][ 580/1879] lr: 6.5109e-02 eta: 1 day, 11:15:11 time: 0.4983 data_time: 0.0402 memory: 18108 grad_norm: 3.3968 loss: 3.9825 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.3737 top1_acc_1: 0.6588 top5_acc_1: 0.7882 loss_cls_1: 1.6088 2023/02/01 18:26:23 - mmengine - INFO - Epoch(train) [124][ 600/1879] lr: 6.5101e-02 eta: 1 day, 11:15:01 time: 0.4910 data_time: 0.0308 memory: 18108 grad_norm: 3.2956 loss: 4.1087 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.3994 top1_acc_1: 0.5765 top5_acc_1: 0.7294 loss_cls_1: 1.7093 2023/02/01 18:26:33 - mmengine - INFO - Epoch(train) [124][ 620/1879] lr: 6.5094e-02 eta: 1 day, 11:14:50 time: 0.4956 data_time: 0.0484 memory: 18108 grad_norm: 3.3890 loss: 4.1193 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3723 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.7471 2023/02/01 18:26:43 - mmengine - INFO - Epoch(train) [124][ 640/1879] lr: 6.5087e-02 eta: 1 day, 11:14:39 time: 0.4867 data_time: 0.0298 memory: 18108 grad_norm: 3.3798 loss: 4.1543 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4180 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.7363 2023/02/01 18:26:53 - mmengine - INFO - Epoch(train) [124][ 660/1879] lr: 6.5080e-02 eta: 1 day, 11:14:29 time: 0.5019 data_time: 0.0383 memory: 18108 grad_norm: 3.4258 loss: 4.0715 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3712 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.7003 2023/02/01 18:27:03 - mmengine - INFO - Epoch(train) [124][ 680/1879] lr: 6.5073e-02 eta: 1 day, 11:14:19 time: 0.4927 data_time: 0.0294 memory: 18108 grad_norm: 3.4054 loss: 4.3162 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6045 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.7117 2023/02/01 18:27:13 - mmengine - INFO - Epoch(train) [124][ 700/1879] lr: 6.5065e-02 eta: 1 day, 11:14:08 time: 0.5110 data_time: 0.0445 memory: 18108 grad_norm: 3.4486 loss: 4.5169 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.7722 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.7447 2023/02/01 18:27:23 - mmengine - INFO - Epoch(train) [124][ 720/1879] lr: 6.5058e-02 eta: 1 day, 11:13:58 time: 0.4939 data_time: 0.0306 memory: 18108 grad_norm: 3.4200 loss: 4.1925 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4921 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7004 2023/02/01 18:27:33 - mmengine - INFO - Epoch(train) [124][ 740/1879] lr: 6.5051e-02 eta: 1 day, 11:13:48 time: 0.5072 data_time: 0.0375 memory: 18108 grad_norm: 3.3395 loss: 4.1086 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.4596 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.6489 2023/02/01 18:27:43 - mmengine - INFO - Epoch(train) [124][ 760/1879] lr: 6.5044e-02 eta: 1 day, 11:13:37 time: 0.5002 data_time: 0.0396 memory: 18108 grad_norm: 3.3804 loss: 3.9801 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2444 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.7357 2023/02/01 18:27:53 - mmengine - INFO - Epoch(train) [124][ 780/1879] lr: 6.5037e-02 eta: 1 day, 11:13:27 time: 0.4929 data_time: 0.0395 memory: 18108 grad_norm: 3.4619 loss: 4.4502 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.7530 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.6972 2023/02/01 18:28:03 - mmengine - INFO - Epoch(train) [124][ 800/1879] lr: 6.5030e-02 eta: 1 day, 11:13:16 time: 0.5019 data_time: 0.0300 memory: 18108 grad_norm: 3.3476 loss: 4.1291 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4695 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.6595 2023/02/01 18:28:13 - mmengine - INFO - Epoch(train) [124][ 820/1879] lr: 6.5022e-02 eta: 1 day, 11:13:06 time: 0.5055 data_time: 0.0383 memory: 18108 grad_norm: 3.2994 loss: 4.0606 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.2608 top1_acc_1: 0.5529 top5_acc_1: 0.7176 loss_cls_1: 1.7997 2023/02/01 18:28:23 - mmengine - INFO - Epoch(train) [124][ 840/1879] lr: 6.5015e-02 eta: 1 day, 11:12:56 time: 0.4927 data_time: 0.0314 memory: 18108 grad_norm: 3.3762 loss: 4.1368 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4356 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.7012 2023/02/01 18:28:33 - mmengine - INFO - Epoch(train) [124][ 860/1879] lr: 6.5008e-02 eta: 1 day, 11:12:45 time: 0.5005 data_time: 0.0368 memory: 18108 grad_norm: 3.3675 loss: 4.1307 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.4741 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6566 2023/02/01 18:28:43 - mmengine - INFO - Epoch(train) [124][ 880/1879] lr: 6.5001e-02 eta: 1 day, 11:12:35 time: 0.5258 data_time: 0.0316 memory: 18108 grad_norm: 3.3984 loss: 4.0693 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3368 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.7324 2023/02/01 18:28:45 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 18:28:54 - mmengine - INFO - Epoch(train) [124][ 900/1879] lr: 6.4994e-02 eta: 1 day, 11:12:25 time: 0.5094 data_time: 0.0448 memory: 18108 grad_norm: 3.4075 loss: 4.2787 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6423 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.6363 2023/02/01 18:29:04 - mmengine - INFO - Epoch(train) [124][ 920/1879] lr: 6.4986e-02 eta: 1 day, 11:12:15 time: 0.5031 data_time: 0.0305 memory: 18108 grad_norm: 3.3607 loss: 4.2781 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5046 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7734 2023/02/01 18:29:14 - mmengine - INFO - Epoch(train) [124][ 940/1879] lr: 6.4979e-02 eta: 1 day, 11:12:05 time: 0.5282 data_time: 0.0364 memory: 18108 grad_norm: 3.3496 loss: 4.0825 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3298 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.7528 2023/02/01 18:29:25 - mmengine - INFO - Epoch(train) [124][ 960/1879] lr: 6.4972e-02 eta: 1 day, 11:11:55 time: 0.5272 data_time: 0.0361 memory: 18108 grad_norm: 3.4402 loss: 4.2285 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4913 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7372 2023/02/01 18:29:35 - mmengine - INFO - Epoch(train) [124][ 980/1879] lr: 6.4965e-02 eta: 1 day, 11:11:45 time: 0.5037 data_time: 0.0377 memory: 18108 grad_norm: 3.3703 loss: 4.2702 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4539 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.8163 2023/02/01 18:29:45 - mmengine - INFO - Epoch(train) [124][1000/1879] lr: 6.4958e-02 eta: 1 day, 11:11:35 time: 0.5223 data_time: 0.0317 memory: 18108 grad_norm: 3.3751 loss: 4.2074 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5617 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.6457 2023/02/01 18:29:56 - mmengine - INFO - Epoch(train) [124][1020/1879] lr: 6.4950e-02 eta: 1 day, 11:11:25 time: 0.5215 data_time: 0.0372 memory: 18108 grad_norm: 3.4479 loss: 4.1329 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3412 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.7917 2023/02/01 18:30:06 - mmengine - INFO - Epoch(train) [124][1040/1879] lr: 6.4943e-02 eta: 1 day, 11:11:15 time: 0.5132 data_time: 0.0296 memory: 18108 grad_norm: 3.4066 loss: 4.1529 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4076 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.7453 2023/02/01 18:30:16 - mmengine - INFO - Epoch(train) [124][1060/1879] lr: 6.4936e-02 eta: 1 day, 11:11:05 time: 0.5062 data_time: 0.0382 memory: 18108 grad_norm: 3.4078 loss: 3.9777 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2172 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.7604 2023/02/01 18:30:27 - mmengine - INFO - Epoch(train) [124][1080/1879] lr: 6.4929e-02 eta: 1 day, 11:10:55 time: 0.5198 data_time: 0.0289 memory: 18108 grad_norm: 3.3357 loss: 4.1626 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4526 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.7100 2023/02/01 18:30:37 - mmengine - INFO - Epoch(train) [124][1100/1879] lr: 6.4922e-02 eta: 1 day, 11:10:45 time: 0.5301 data_time: 0.0445 memory: 18108 grad_norm: 3.4134 loss: 4.1450 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4841 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.6609 2023/02/01 18:30:47 - mmengine - INFO - Epoch(train) [124][1120/1879] lr: 6.4915e-02 eta: 1 day, 11:10:35 time: 0.5099 data_time: 0.0307 memory: 18108 grad_norm: 3.3205 loss: 4.0992 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3175 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.7817 2023/02/01 18:30:58 - mmengine - INFO - Epoch(train) [124][1140/1879] lr: 6.4907e-02 eta: 1 day, 11:10:25 time: 0.5172 data_time: 0.0369 memory: 18108 grad_norm: 3.4375 loss: 4.0414 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3682 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.6733 2023/02/01 18:31:08 - mmengine - INFO - Epoch(train) [124][1160/1879] lr: 6.4900e-02 eta: 1 day, 11:10:15 time: 0.5204 data_time: 0.0290 memory: 18108 grad_norm: 3.3899 loss: 4.2092 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5086 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.7007 2023/02/01 18:31:19 - mmengine - INFO - Epoch(train) [124][1180/1879] lr: 6.4893e-02 eta: 1 day, 11:10:05 time: 0.5217 data_time: 0.0375 memory: 18108 grad_norm: 3.3297 loss: 3.9948 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3006 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.6942 2023/02/01 18:31:29 - mmengine - INFO - Epoch(train) [124][1200/1879] lr: 6.4886e-02 eta: 1 day, 11:09:55 time: 0.5246 data_time: 0.0298 memory: 18108 grad_norm: 3.3575 loss: 4.0766 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3662 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.7105 2023/02/01 18:31:40 - mmengine - INFO - Epoch(train) [124][1220/1879] lr: 6.4879e-02 eta: 1 day, 11:09:46 time: 0.5349 data_time: 0.0359 memory: 18108 grad_norm: 3.4220 loss: 4.1429 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4549 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.6880 2023/02/01 18:31:50 - mmengine - INFO - Epoch(train) [124][1240/1879] lr: 6.4871e-02 eta: 1 day, 11:09:36 time: 0.5248 data_time: 0.0301 memory: 18108 grad_norm: 3.4182 loss: 4.3939 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6615 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.7324 2023/02/01 18:32:01 - mmengine - INFO - Epoch(train) [124][1260/1879] lr: 6.4864e-02 eta: 1 day, 11:09:26 time: 0.5156 data_time: 0.0373 memory: 18108 grad_norm: 3.3524 loss: 3.9789 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3085 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6703 2023/02/01 18:32:11 - mmengine - INFO - Epoch(train) [124][1280/1879] lr: 6.4857e-02 eta: 1 day, 11:09:16 time: 0.5261 data_time: 0.0286 memory: 18108 grad_norm: 3.3603 loss: 4.0553 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3381 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.7172 2023/02/01 18:32:22 - mmengine - INFO - Epoch(train) [124][1300/1879] lr: 6.4850e-02 eta: 1 day, 11:09:06 time: 0.5246 data_time: 0.0427 memory: 18108 grad_norm: 3.4321 loss: 4.2980 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5101 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7878 2023/02/01 18:32:32 - mmengine - INFO - Epoch(train) [124][1320/1879] lr: 6.4843e-02 eta: 1 day, 11:08:57 time: 0.5318 data_time: 0.0301 memory: 18108 grad_norm: 3.3639 loss: 4.0493 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3580 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.6913 2023/02/01 18:32:43 - mmengine - INFO - Epoch(train) [124][1340/1879] lr: 6.4835e-02 eta: 1 day, 11:08:47 time: 0.5328 data_time: 0.0359 memory: 18108 grad_norm: 3.4079 loss: 4.0494 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2566 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7928 2023/02/01 18:32:54 - mmengine - INFO - Epoch(train) [124][1360/1879] lr: 6.4828e-02 eta: 1 day, 11:08:37 time: 0.5298 data_time: 0.0382 memory: 18108 grad_norm: 3.3325 loss: 4.0071 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.3574 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.6497 2023/02/01 18:33:04 - mmengine - INFO - Epoch(train) [124][1380/1879] lr: 6.4821e-02 eta: 1 day, 11:08:27 time: 0.5239 data_time: 0.0364 memory: 18108 grad_norm: 3.4080 loss: 4.2120 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.5071 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.7049 2023/02/01 18:33:15 - mmengine - INFO - Epoch(train) [124][1400/1879] lr: 6.4814e-02 eta: 1 day, 11:08:17 time: 0.5233 data_time: 0.0296 memory: 18108 grad_norm: 3.3228 loss: 3.9640 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3044 top1_acc_1: 0.6235 top5_acc_1: 0.7529 loss_cls_1: 1.6596 2023/02/01 18:33:25 - mmengine - INFO - Epoch(train) [124][1420/1879] lr: 6.4807e-02 eta: 1 day, 11:08:08 time: 0.5315 data_time: 0.0430 memory: 18108 grad_norm: 3.3914 loss: 4.1021 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.3633 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.7387 2023/02/01 18:33:36 - mmengine - INFO - Epoch(train) [124][1440/1879] lr: 6.4799e-02 eta: 1 day, 11:07:58 time: 0.5209 data_time: 0.0305 memory: 18108 grad_norm: 3.3848 loss: 4.1995 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4836 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.7159 2023/02/01 18:33:47 - mmengine - INFO - Epoch(train) [124][1460/1879] lr: 6.4792e-02 eta: 1 day, 11:07:48 time: 0.5398 data_time: 0.0353 memory: 18108 grad_norm: 3.3943 loss: 3.9316 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1606 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.7710 2023/02/01 18:33:57 - mmengine - INFO - Epoch(train) [124][1480/1879] lr: 6.4785e-02 eta: 1 day, 11:07:39 time: 0.5342 data_time: 0.0358 memory: 18108 grad_norm: 3.3829 loss: 4.0485 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3530 top1_acc_1: 0.6588 top5_acc_1: 0.7765 loss_cls_1: 1.6955 2023/02/01 18:34:08 - mmengine - INFO - Epoch(train) [124][1500/1879] lr: 6.4778e-02 eta: 1 day, 11:07:29 time: 0.5117 data_time: 0.0370 memory: 18108 grad_norm: 3.4360 loss: 4.3867 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.5934 top1_acc_1: 0.6353 top5_acc_1: 0.7647 loss_cls_1: 1.7933 2023/02/01 18:34:18 - mmengine - INFO - Epoch(train) [124][1520/1879] lr: 6.4771e-02 eta: 1 day, 11:07:19 time: 0.5193 data_time: 0.0306 memory: 18108 grad_norm: 3.3906 loss: 4.3320 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4834 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.8486 2023/02/01 18:34:28 - mmengine - INFO - Epoch(train) [124][1540/1879] lr: 6.4764e-02 eta: 1 day, 11:07:09 time: 0.5285 data_time: 0.0443 memory: 18108 grad_norm: 3.4317 loss: 4.3450 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5650 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.7801 2023/02/01 18:34:39 - mmengine - INFO - Epoch(train) [124][1560/1879] lr: 6.4756e-02 eta: 1 day, 11:06:59 time: 0.5126 data_time: 0.0297 memory: 18108 grad_norm: 3.3428 loss: 4.3678 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5986 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.7693 2023/02/01 18:34:49 - mmengine - INFO - Epoch(train) [124][1580/1879] lr: 6.4749e-02 eta: 1 day, 11:06:48 time: 0.5081 data_time: 0.0390 memory: 18108 grad_norm: 3.4220 loss: 4.2343 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.4444 top1_acc_1: 0.5529 top5_acc_1: 0.8706 loss_cls_1: 1.7898 2023/02/01 18:34:59 - mmengine - INFO - Epoch(train) [124][1600/1879] lr: 6.4742e-02 eta: 1 day, 11:06:38 time: 0.5177 data_time: 0.0298 memory: 18108 grad_norm: 3.4343 loss: 3.9927 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3133 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.6794 2023/02/01 18:35:10 - mmengine - INFO - Epoch(train) [124][1620/1879] lr: 6.4735e-02 eta: 1 day, 11:06:29 time: 0.5190 data_time: 0.0433 memory: 18108 grad_norm: 3.3659 loss: 4.1846 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3740 top1_acc_1: 0.5765 top5_acc_1: 0.7059 loss_cls_1: 1.8106 2023/02/01 18:35:20 - mmengine - INFO - Epoch(train) [124][1640/1879] lr: 6.4728e-02 eta: 1 day, 11:06:18 time: 0.5029 data_time: 0.0300 memory: 18108 grad_norm: 3.3551 loss: 4.2759 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.5381 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.7378 2023/02/01 18:35:30 - mmengine - INFO - Epoch(train) [124][1660/1879] lr: 6.4720e-02 eta: 1 day, 11:06:08 time: 0.5028 data_time: 0.0365 memory: 18108 grad_norm: 3.3534 loss: 4.1993 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4776 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7217 2023/02/01 18:35:41 - mmengine - INFO - Epoch(train) [124][1680/1879] lr: 6.4713e-02 eta: 1 day, 11:05:58 time: 0.5373 data_time: 0.0431 memory: 18108 grad_norm: 3.3028 loss: 4.0343 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3248 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7096 2023/02/01 18:35:51 - mmengine - INFO - Epoch(train) [124][1700/1879] lr: 6.4706e-02 eta: 1 day, 11:05:48 time: 0.5028 data_time: 0.0371 memory: 18108 grad_norm: 3.3497 loss: 4.0510 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3255 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7256 2023/02/01 18:36:01 - mmengine - INFO - Epoch(train) [124][1720/1879] lr: 6.4699e-02 eta: 1 day, 11:05:38 time: 0.5262 data_time: 0.0282 memory: 18108 grad_norm: 3.3918 loss: 4.1086 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.3882 top1_acc_1: 0.5882 top5_acc_1: 0.7294 loss_cls_1: 1.7203 2023/02/01 18:36:12 - mmengine - INFO - Epoch(train) [124][1740/1879] lr: 6.4692e-02 eta: 1 day, 11:05:28 time: 0.5268 data_time: 0.0376 memory: 18108 grad_norm: 3.4357 loss: 4.2131 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4493 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.7638 2023/02/01 18:36:22 - mmengine - INFO - Epoch(train) [124][1760/1879] lr: 6.4684e-02 eta: 1 day, 11:05:18 time: 0.5096 data_time: 0.0307 memory: 18108 grad_norm: 3.4172 loss: 4.1552 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4377 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.7175 2023/02/01 18:36:32 - mmengine - INFO - Epoch(train) [124][1780/1879] lr: 6.4677e-02 eta: 1 day, 11:05:08 time: 0.5151 data_time: 0.0365 memory: 18108 grad_norm: 3.3471 loss: 4.1713 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3485 top1_acc_1: 0.4941 top5_acc_1: 0.8118 loss_cls_1: 1.8228 2023/02/01 18:36:43 - mmengine - INFO - Epoch(train) [124][1800/1879] lr: 6.4670e-02 eta: 1 day, 11:04:58 time: 0.5285 data_time: 0.0281 memory: 18108 grad_norm: 3.3815 loss: 4.0069 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3075 top1_acc_1: 0.7059 top5_acc_1: 0.8118 loss_cls_1: 1.6994 2023/02/01 18:36:54 - mmengine - INFO - Epoch(train) [124][1820/1879] lr: 6.4663e-02 eta: 1 day, 11:04:49 time: 0.5305 data_time: 0.0448 memory: 18108 grad_norm: 3.3903 loss: 4.2618 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6014 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.6604 2023/02/01 18:37:04 - mmengine - INFO - Epoch(train) [124][1840/1879] lr: 6.4656e-02 eta: 1 day, 11:04:39 time: 0.5135 data_time: 0.0292 memory: 18108 grad_norm: 3.3968 loss: 4.0988 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4481 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.6506 2023/02/01 18:37:14 - mmengine - INFO - Epoch(train) [124][1860/1879] lr: 6.4648e-02 eta: 1 day, 11:04:29 time: 0.5260 data_time: 0.0363 memory: 18108 grad_norm: 3.3803 loss: 4.3042 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4907 top1_acc_1: 0.5529 top5_acc_1: 0.7412 loss_cls_1: 1.8135 2023/02/01 18:37:24 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 18:37:24 - mmengine - INFO - Epoch(train) [124][1879/1879] lr: 6.4641e-02 eta: 1 day, 11:04:19 time: 0.5069 data_time: 0.0292 memory: 18108 grad_norm: 3.4595 loss: 4.4949 top1_acc_0: 0.7143 top5_acc_0: 0.8571 loss_cls_0: 2.6963 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.7986 2023/02/01 18:37:25 - mmengine - INFO - Saving checkpoint at 124 epochs 2023/02/01 18:37:35 - mmengine - INFO - Epoch(val) [124][ 20/155] eta: 0:01:01 time: 0.4560 data_time: 0.3427 memory: 1906 2023/02/01 18:37:44 - mmengine - INFO - Epoch(val) [124][ 40/155] eta: 0:00:51 time: 0.4408 data_time: 0.3294 memory: 1906 2023/02/01 18:37:53 - mmengine - INFO - Epoch(val) [124][ 60/155] eta: 0:00:41 time: 0.4267 data_time: 0.3152 memory: 1906 2023/02/01 18:38:02 - mmengine - INFO - Epoch(val) [124][ 80/155] eta: 0:00:33 time: 0.4595 data_time: 0.3490 memory: 1906 2023/02/01 18:38:11 - mmengine - INFO - Epoch(val) [124][100/155] eta: 0:00:24 time: 0.4482 data_time: 0.3365 memory: 1906 2023/02/01 18:38:20 - mmengine - INFO - Epoch(val) [124][120/155] eta: 0:00:15 time: 0.4629 data_time: 0.3528 memory: 1906 2023/02/01 18:38:29 - mmengine - INFO - Epoch(val) [124][140/155] eta: 0:00:06 time: 0.4367 data_time: 0.3266 memory: 1906 2023/02/01 18:38:36 - mmengine - INFO - Epoch(val) [124][155/155] acc/top1: 0.5038 acc/top5: 0.7591 acc/mean1: 0.5038 2023/02/01 18:38:36 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_104.pth is removed 2023/02/01 18:38:38 - mmengine - INFO - The best checkpoint with 0.5038 acc/top1 at 124 epoch is saved to best_acc/top1_epoch_124.pth. 2023/02/01 18:38:44 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 18:38:52 - mmengine - INFO - Epoch(train) [125][ 20/1879] lr: 6.4634e-02 eta: 1 day, 11:04:13 time: 0.6960 data_time: 0.2364 memory: 18108 grad_norm: 3.3310 loss: 4.1358 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4441 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.6917 2023/02/01 18:39:01 - mmengine - INFO - Epoch(train) [125][ 40/1879] lr: 6.4627e-02 eta: 1 day, 11:04:02 time: 0.4721 data_time: 0.0332 memory: 18108 grad_norm: 3.2976 loss: 3.9759 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3520 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.6239 2023/02/01 18:39:11 - mmengine - INFO - Epoch(train) [125][ 60/1879] lr: 6.4620e-02 eta: 1 day, 11:03:52 time: 0.5044 data_time: 0.0396 memory: 18108 grad_norm: 3.3245 loss: 4.3153 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6229 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.6924 2023/02/01 18:39:22 - mmengine - INFO - Epoch(train) [125][ 80/1879] lr: 6.4613e-02 eta: 1 day, 11:03:42 time: 0.5157 data_time: 0.0317 memory: 18108 grad_norm: 3.3559 loss: 3.8868 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.2521 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.6347 2023/02/01 18:39:32 - mmengine - INFO - Epoch(train) [125][ 100/1879] lr: 6.4605e-02 eta: 1 day, 11:03:31 time: 0.4881 data_time: 0.0397 memory: 18108 grad_norm: 3.3467 loss: 4.1566 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5266 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6300 2023/02/01 18:39:41 - mmengine - INFO - Epoch(train) [125][ 120/1879] lr: 6.4598e-02 eta: 1 day, 11:03:20 time: 0.4781 data_time: 0.0321 memory: 18108 grad_norm: 3.3713 loss: 4.1188 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5063 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.6125 2023/02/01 18:39:52 - mmengine - INFO - Epoch(train) [125][ 140/1879] lr: 6.4591e-02 eta: 1 day, 11:03:10 time: 0.5192 data_time: 0.0458 memory: 18108 grad_norm: 3.2546 loss: 4.0758 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3871 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.6887 2023/02/01 18:40:01 - mmengine - INFO - Epoch(train) [125][ 160/1879] lr: 6.4584e-02 eta: 1 day, 11:03:00 time: 0.4898 data_time: 0.0316 memory: 18108 grad_norm: 3.3892 loss: 3.9684 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3362 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.6322 2023/02/01 18:40:11 - mmengine - INFO - Epoch(train) [125][ 180/1879] lr: 6.4577e-02 eta: 1 day, 11:02:49 time: 0.4871 data_time: 0.0395 memory: 18108 grad_norm: 3.3875 loss: 3.8715 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.1994 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.6721 2023/02/01 18:40:21 - mmengine - INFO - Epoch(train) [125][ 200/1879] lr: 6.4569e-02 eta: 1 day, 11:02:39 time: 0.5051 data_time: 0.0326 memory: 18108 grad_norm: 3.4262 loss: 4.1999 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.5406 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.6592 2023/02/01 18:40:31 - mmengine - INFO - Epoch(train) [125][ 220/1879] lr: 6.4562e-02 eta: 1 day, 11:02:28 time: 0.5033 data_time: 0.0445 memory: 18108 grad_norm: 3.4084 loss: 4.0099 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3578 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.6521 2023/02/01 18:40:41 - mmengine - INFO - Epoch(train) [125][ 240/1879] lr: 6.4555e-02 eta: 1 day, 11:02:18 time: 0.4922 data_time: 0.0324 memory: 18108 grad_norm: 3.3114 loss: 3.9128 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2002 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.7126 2023/02/01 18:40:51 - mmengine - INFO - Epoch(train) [125][ 260/1879] lr: 6.4548e-02 eta: 1 day, 11:02:07 time: 0.5022 data_time: 0.0347 memory: 18108 grad_norm: 3.3187 loss: 4.0278 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3822 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.6456 2023/02/01 18:41:01 - mmengine - INFO - Epoch(train) [125][ 280/1879] lr: 6.4541e-02 eta: 1 day, 11:01:57 time: 0.5045 data_time: 0.0395 memory: 18108 grad_norm: 3.3727 loss: 4.2264 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.5566 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.6697 2023/02/01 18:41:12 - mmengine - INFO - Epoch(train) [125][ 300/1879] lr: 6.4533e-02 eta: 1 day, 11:01:47 time: 0.5062 data_time: 0.0362 memory: 18108 grad_norm: 3.4497 loss: 4.4029 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6568 top1_acc_1: 0.4824 top5_acc_1: 0.7294 loss_cls_1: 1.7461 2023/02/01 18:41:21 - mmengine - INFO - Epoch(train) [125][ 320/1879] lr: 6.4526e-02 eta: 1 day, 11:01:36 time: 0.4826 data_time: 0.0326 memory: 18108 grad_norm: 3.3524 loss: 3.9136 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2908 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.6229 2023/02/01 18:41:31 - mmengine - INFO - Epoch(train) [125][ 340/1879] lr: 6.4519e-02 eta: 1 day, 11:01:26 time: 0.5154 data_time: 0.0453 memory: 18108 grad_norm: 3.4360 loss: 3.9412 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1856 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7556 2023/02/01 18:41:41 - mmengine - INFO - Epoch(train) [125][ 360/1879] lr: 6.4512e-02 eta: 1 day, 11:01:15 time: 0.4841 data_time: 0.0319 memory: 18108 grad_norm: 3.4417 loss: 4.0486 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3614 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.6872 2023/02/01 18:41:51 - mmengine - INFO - Epoch(train) [125][ 380/1879] lr: 6.4505e-02 eta: 1 day, 11:01:05 time: 0.4977 data_time: 0.0370 memory: 18108 grad_norm: 3.4183 loss: 4.0278 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3024 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.7253 2023/02/01 18:42:01 - mmengine - INFO - Epoch(train) [125][ 400/1879] lr: 6.4497e-02 eta: 1 day, 11:00:55 time: 0.4999 data_time: 0.0325 memory: 18108 grad_norm: 3.3747 loss: 3.9468 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.2305 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.7164 2023/02/01 18:42:11 - mmengine - INFO - Epoch(train) [125][ 420/1879] lr: 6.4490e-02 eta: 1 day, 11:00:44 time: 0.5069 data_time: 0.0370 memory: 18108 grad_norm: 3.3868 loss: 4.1374 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4103 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7271 2023/02/01 18:42:21 - mmengine - INFO - Epoch(train) [125][ 440/1879] lr: 6.4483e-02 eta: 1 day, 11:00:34 time: 0.4870 data_time: 0.0323 memory: 18108 grad_norm: 3.3939 loss: 3.9632 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2745 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.6887 2023/02/01 18:42:31 - mmengine - INFO - Epoch(train) [125][ 460/1879] lr: 6.4476e-02 eta: 1 day, 11:00:24 time: 0.5090 data_time: 0.0365 memory: 18108 grad_norm: 3.4825 loss: 4.1320 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3428 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.7892 2023/02/01 18:42:41 - mmengine - INFO - Epoch(train) [125][ 480/1879] lr: 6.4469e-02 eta: 1 day, 11:00:13 time: 0.5013 data_time: 0.0417 memory: 18108 grad_norm: 3.3706 loss: 3.9842 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.2131 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.7711 2023/02/01 18:42:51 - mmengine - INFO - Epoch(train) [125][ 500/1879] lr: 6.4461e-02 eta: 1 day, 11:00:03 time: 0.5041 data_time: 0.0370 memory: 18108 grad_norm: 3.3078 loss: 4.0631 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3702 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.6930 2023/02/01 18:43:01 - mmengine - INFO - Epoch(train) [125][ 520/1879] lr: 6.4454e-02 eta: 1 day, 10:59:52 time: 0.4802 data_time: 0.0327 memory: 18108 grad_norm: 3.4496 loss: 3.9775 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3148 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.6627 2023/02/01 18:43:11 - mmengine - INFO - Epoch(train) [125][ 540/1879] lr: 6.4447e-02 eta: 1 day, 10:59:42 time: 0.5118 data_time: 0.0358 memory: 18108 grad_norm: 3.3437 loss: 3.9539 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.2770 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.6769 2023/02/01 18:43:21 - mmengine - INFO - Epoch(train) [125][ 560/1879] lr: 6.4440e-02 eta: 1 day, 10:59:31 time: 0.4823 data_time: 0.0330 memory: 18108 grad_norm: 3.3668 loss: 4.1901 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.4772 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.7129 2023/02/01 18:43:31 - mmengine - INFO - Epoch(train) [125][ 580/1879] lr: 6.4433e-02 eta: 1 day, 10:59:21 time: 0.4991 data_time: 0.0365 memory: 18108 grad_norm: 3.4165 loss: 3.8464 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1553 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.6911 2023/02/01 18:43:41 - mmengine - INFO - Epoch(train) [125][ 600/1879] lr: 6.4425e-02 eta: 1 day, 10:59:10 time: 0.4906 data_time: 0.0336 memory: 18108 grad_norm: 3.3839 loss: 3.9961 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2811 top1_acc_1: 0.6118 top5_acc_1: 0.8941 loss_cls_1: 1.7150 2023/02/01 18:43:51 - mmengine - INFO - Epoch(train) [125][ 620/1879] lr: 6.4418e-02 eta: 1 day, 10:59:00 time: 0.5149 data_time: 0.0387 memory: 18108 grad_norm: 3.4124 loss: 4.3809 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.6069 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.7740 2023/02/01 18:44:01 - mmengine - INFO - Epoch(train) [125][ 640/1879] lr: 6.4411e-02 eta: 1 day, 10:58:50 time: 0.4873 data_time: 0.0321 memory: 18108 grad_norm: 3.3929 loss: 4.1028 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.4134 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.6895 2023/02/01 18:44:11 - mmengine - INFO - Epoch(train) [125][ 660/1879] lr: 6.4404e-02 eta: 1 day, 10:58:39 time: 0.5000 data_time: 0.0379 memory: 18108 grad_norm: 3.3835 loss: 3.8141 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 2.1510 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.6630 2023/02/01 18:44:21 - mmengine - INFO - Epoch(train) [125][ 680/1879] lr: 6.4396e-02 eta: 1 day, 10:58:29 time: 0.5089 data_time: 0.0398 memory: 18108 grad_norm: 3.4040 loss: 4.1245 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4369 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.6876 2023/02/01 18:44:31 - mmengine - INFO - Epoch(train) [125][ 700/1879] lr: 6.4389e-02 eta: 1 day, 10:58:19 time: 0.4976 data_time: 0.0396 memory: 18108 grad_norm: 3.4885 loss: 4.1945 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4431 top1_acc_1: 0.6706 top5_acc_1: 0.7647 loss_cls_1: 1.7514 2023/02/01 18:44:41 - mmengine - INFO - Epoch(train) [125][ 720/1879] lr: 6.4382e-02 eta: 1 day, 10:58:09 time: 0.5160 data_time: 0.0327 memory: 18108 grad_norm: 3.4092 loss: 4.1329 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3525 top1_acc_1: 0.4706 top5_acc_1: 0.7765 loss_cls_1: 1.7804 2023/02/01 18:44:51 - mmengine - INFO - Epoch(train) [125][ 740/1879] lr: 6.4375e-02 eta: 1 day, 10:57:58 time: 0.5024 data_time: 0.0352 memory: 18108 grad_norm: 3.3574 loss: 4.0620 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3773 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.6847 2023/02/01 18:45:02 - mmengine - INFO - Epoch(train) [125][ 760/1879] lr: 6.4368e-02 eta: 1 day, 10:57:48 time: 0.5141 data_time: 0.0404 memory: 18108 grad_norm: 3.3798 loss: 4.2214 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4166 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.8048 2023/02/01 18:45:12 - mmengine - INFO - Epoch(train) [125][ 780/1879] lr: 6.4360e-02 eta: 1 day, 10:57:38 time: 0.5124 data_time: 0.0362 memory: 18108 grad_norm: 3.4633 loss: 4.1003 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3548 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.7455 2023/02/01 18:45:22 - mmengine - INFO - Epoch(train) [125][ 800/1879] lr: 6.4353e-02 eta: 1 day, 10:57:28 time: 0.5060 data_time: 0.0334 memory: 18108 grad_norm: 3.4545 loss: 4.1808 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.4454 top1_acc_1: 0.5765 top5_acc_1: 0.9529 loss_cls_1: 1.7354 2023/02/01 18:45:33 - mmengine - INFO - Epoch(train) [125][ 820/1879] lr: 6.4346e-02 eta: 1 day, 10:57:18 time: 0.5224 data_time: 0.0479 memory: 18108 grad_norm: 3.4187 loss: 4.2017 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4519 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 1.7498 2023/02/01 18:45:42 - mmengine - INFO - Epoch(train) [125][ 840/1879] lr: 6.4339e-02 eta: 1 day, 10:57:07 time: 0.4907 data_time: 0.0323 memory: 18108 grad_norm: 3.3400 loss: 4.1557 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4773 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6784 2023/02/01 18:45:53 - mmengine - INFO - Epoch(train) [125][ 860/1879] lr: 6.4332e-02 eta: 1 day, 10:56:58 time: 0.5231 data_time: 0.0393 memory: 18108 grad_norm: 3.3557 loss: 4.0989 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4362 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6627 2023/02/01 18:46:03 - mmengine - INFO - Epoch(train) [125][ 880/1879] lr: 6.4324e-02 eta: 1 day, 10:56:47 time: 0.5063 data_time: 0.0319 memory: 18108 grad_norm: 3.3768 loss: 4.0511 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4088 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.6422 2023/02/01 18:46:13 - mmengine - INFO - Epoch(train) [125][ 900/1879] lr: 6.4317e-02 eta: 1 day, 10:56:37 time: 0.5139 data_time: 0.0446 memory: 18108 grad_norm: 3.4247 loss: 4.2169 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5048 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.7121 2023/02/01 18:46:24 - mmengine - INFO - Epoch(train) [125][ 920/1879] lr: 6.4310e-02 eta: 1 day, 10:56:27 time: 0.5102 data_time: 0.0311 memory: 18108 grad_norm: 3.3987 loss: 3.9686 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.3135 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.6552 2023/02/01 18:46:34 - mmengine - INFO - Epoch(train) [125][ 940/1879] lr: 6.4303e-02 eta: 1 day, 10:56:17 time: 0.5197 data_time: 0.0351 memory: 18108 grad_norm: 3.3151 loss: 4.0520 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.3334 top1_acc_1: 0.6824 top5_acc_1: 0.8118 loss_cls_1: 1.7186 2023/02/01 18:46:44 - mmengine - INFO - Epoch(train) [125][ 960/1879] lr: 6.4295e-02 eta: 1 day, 10:56:07 time: 0.5014 data_time: 0.0332 memory: 18108 grad_norm: 3.4472 loss: 4.1162 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3168 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.7994 2023/02/01 18:46:54 - mmengine - INFO - Epoch(train) [125][ 980/1879] lr: 6.4288e-02 eta: 1 day, 10:55:57 time: 0.5178 data_time: 0.0373 memory: 18108 grad_norm: 3.3642 loss: 4.2015 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4808 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.7207 2023/02/01 18:47:05 - mmengine - INFO - Epoch(train) [125][1000/1879] lr: 6.4281e-02 eta: 1 day, 10:55:47 time: 0.5095 data_time: 0.0331 memory: 18108 grad_norm: 3.4047 loss: 4.0369 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4341 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.6029 2023/02/01 18:47:07 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 18:47:15 - mmengine - INFO - Epoch(train) [125][1020/1879] lr: 6.4274e-02 eta: 1 day, 10:55:37 time: 0.5157 data_time: 0.0450 memory: 18108 grad_norm: 3.3431 loss: 4.2081 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.4531 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7550 2023/02/01 18:47:25 - mmengine - INFO - Epoch(train) [125][1040/1879] lr: 6.4267e-02 eta: 1 day, 10:55:26 time: 0.5143 data_time: 0.0315 memory: 18108 grad_norm: 3.3756 loss: 3.9671 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2113 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.7558 2023/02/01 18:47:35 - mmengine - INFO - Epoch(train) [125][1060/1879] lr: 6.4259e-02 eta: 1 day, 10:55:16 time: 0.4996 data_time: 0.0353 memory: 18108 grad_norm: 3.2921 loss: 4.0287 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3470 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.6818 2023/02/01 18:47:45 - mmengine - INFO - Epoch(train) [125][1080/1879] lr: 6.4252e-02 eta: 1 day, 10:55:06 time: 0.5090 data_time: 0.0313 memory: 18108 grad_norm: 3.4309 loss: 4.1668 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4777 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.6891 2023/02/01 18:47:56 - mmengine - INFO - Epoch(train) [125][1100/1879] lr: 6.4245e-02 eta: 1 day, 10:54:56 time: 0.5153 data_time: 0.0450 memory: 18108 grad_norm: 3.4739 loss: 4.2022 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5250 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.6772 2023/02/01 18:48:06 - mmengine - INFO - Epoch(train) [125][1120/1879] lr: 6.4238e-02 eta: 1 day, 10:54:46 time: 0.5007 data_time: 0.0331 memory: 18108 grad_norm: 3.4202 loss: 4.1321 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.4442 top1_acc_1: 0.6706 top5_acc_1: 0.8000 loss_cls_1: 1.6879 2023/02/01 18:48:16 - mmengine - INFO - Epoch(train) [125][1140/1879] lr: 6.4230e-02 eta: 1 day, 10:54:36 time: 0.5230 data_time: 0.0382 memory: 18108 grad_norm: 3.3232 loss: 4.0547 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2298 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.8249 2023/02/01 18:48:26 - mmengine - INFO - Epoch(train) [125][1160/1879] lr: 6.4223e-02 eta: 1 day, 10:54:25 time: 0.5070 data_time: 0.0407 memory: 18108 grad_norm: 3.3123 loss: 4.2643 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 2.5501 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.7142 2023/02/01 18:48:37 - mmengine - INFO - Epoch(train) [125][1180/1879] lr: 6.4216e-02 eta: 1 day, 10:54:16 time: 0.5334 data_time: 0.0351 memory: 18108 grad_norm: 3.3708 loss: 4.0721 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.4169 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.6552 2023/02/01 18:48:47 - mmengine - INFO - Epoch(train) [125][1200/1879] lr: 6.4209e-02 eta: 1 day, 10:54:05 time: 0.5022 data_time: 0.0325 memory: 18108 grad_norm: 3.4145 loss: 4.2513 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4813 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.7700 2023/02/01 18:48:58 - mmengine - INFO - Epoch(train) [125][1220/1879] lr: 6.4202e-02 eta: 1 day, 10:53:56 time: 0.5278 data_time: 0.0454 memory: 18108 grad_norm: 3.3535 loss: 3.9132 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2313 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.6819 2023/02/01 18:49:08 - mmengine - INFO - Epoch(train) [125][1240/1879] lr: 6.4194e-02 eta: 1 day, 10:53:45 time: 0.5107 data_time: 0.0336 memory: 18108 grad_norm: 3.4290 loss: 4.3108 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5563 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.7545 2023/02/01 18:49:18 - mmengine - INFO - Epoch(train) [125][1260/1879] lr: 6.4187e-02 eta: 1 day, 10:53:35 time: 0.5180 data_time: 0.0369 memory: 18108 grad_norm: 3.4263 loss: 3.8392 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0902 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.7490 2023/02/01 18:49:29 - mmengine - INFO - Epoch(train) [125][1280/1879] lr: 6.4180e-02 eta: 1 day, 10:53:26 time: 0.5232 data_time: 0.0460 memory: 18108 grad_norm: 3.3966 loss: 3.7673 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0060 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7613 2023/02/01 18:49:39 - mmengine - INFO - Epoch(train) [125][1300/1879] lr: 6.4173e-02 eta: 1 day, 10:53:16 time: 0.5254 data_time: 0.0290 memory: 18108 grad_norm: 3.3909 loss: 4.0911 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3930 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.6982 2023/02/01 18:49:50 - mmengine - INFO - Epoch(train) [125][1320/1879] lr: 6.4166e-02 eta: 1 day, 10:53:06 time: 0.5233 data_time: 0.0407 memory: 18108 grad_norm: 3.3509 loss: 3.9923 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2923 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.7000 2023/02/01 18:50:00 - mmengine - INFO - Epoch(train) [125][1340/1879] lr: 6.4158e-02 eta: 1 day, 10:52:56 time: 0.5217 data_time: 0.0293 memory: 18108 grad_norm: 3.4475 loss: 4.0555 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3823 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.6732 2023/02/01 18:50:11 - mmengine - INFO - Epoch(train) [125][1360/1879] lr: 6.4151e-02 eta: 1 day, 10:52:46 time: 0.5256 data_time: 0.0380 memory: 18108 grad_norm: 3.5024 loss: 4.1479 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4541 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.6938 2023/02/01 18:50:22 - mmengine - INFO - Epoch(train) [125][1380/1879] lr: 6.4144e-02 eta: 1 day, 10:52:37 time: 0.5360 data_time: 0.0302 memory: 18108 grad_norm: 3.4234 loss: 4.1131 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.4392 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.6740 2023/02/01 18:50:32 - mmengine - INFO - Epoch(train) [125][1400/1879] lr: 6.4137e-02 eta: 1 day, 10:52:26 time: 0.5096 data_time: 0.0379 memory: 18108 grad_norm: 3.4608 loss: 4.2263 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.4404 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.7859 2023/02/01 18:50:42 - mmengine - INFO - Epoch(train) [125][1420/1879] lr: 6.4129e-02 eta: 1 day, 10:52:17 time: 0.5309 data_time: 0.0374 memory: 18108 grad_norm: 3.3856 loss: 4.4588 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.7689 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.6899 2023/02/01 18:50:53 - mmengine - INFO - Epoch(train) [125][1440/1879] lr: 6.4122e-02 eta: 1 day, 10:52:07 time: 0.5328 data_time: 0.0387 memory: 18108 grad_norm: 3.3786 loss: 4.1694 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4591 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.7103 2023/02/01 18:51:03 - mmengine - INFO - Epoch(train) [125][1460/1879] lr: 6.4115e-02 eta: 1 day, 10:51:57 time: 0.5168 data_time: 0.0318 memory: 18108 grad_norm: 3.5001 loss: 4.2295 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3568 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.8727 2023/02/01 18:51:14 - mmengine - INFO - Epoch(train) [125][1480/1879] lr: 6.4108e-02 eta: 1 day, 10:51:47 time: 0.5307 data_time: 0.0449 memory: 18108 grad_norm: 3.4408 loss: 4.1040 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3714 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7326 2023/02/01 18:51:25 - mmengine - INFO - Epoch(train) [125][1500/1879] lr: 6.4100e-02 eta: 1 day, 10:51:37 time: 0.5300 data_time: 0.0301 memory: 18108 grad_norm: 3.4422 loss: 3.9595 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2301 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.7293 2023/02/01 18:51:35 - mmengine - INFO - Epoch(train) [125][1520/1879] lr: 6.4093e-02 eta: 1 day, 10:51:27 time: 0.5109 data_time: 0.0379 memory: 18108 grad_norm: 3.3583 loss: 3.9629 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3002 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.6627 2023/02/01 18:51:45 - mmengine - INFO - Epoch(train) [125][1540/1879] lr: 6.4086e-02 eta: 1 day, 10:51:18 time: 0.5266 data_time: 0.0292 memory: 18108 grad_norm: 3.3459 loss: 4.0280 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3459 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.6821 2023/02/01 18:51:56 - mmengine - INFO - Epoch(train) [125][1560/1879] lr: 6.4079e-02 eta: 1 day, 10:51:08 time: 0.5183 data_time: 0.0492 memory: 18108 grad_norm: 3.3665 loss: 3.7523 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.0909 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.6614 2023/02/01 18:52:07 - mmengine - INFO - Epoch(train) [125][1580/1879] lr: 6.4072e-02 eta: 1 day, 10:50:58 time: 0.5389 data_time: 0.0320 memory: 18108 grad_norm: 3.3993 loss: 3.8861 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.1572 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.7288 2023/02/01 18:52:17 - mmengine - INFO - Epoch(train) [125][1600/1879] lr: 6.4064e-02 eta: 1 day, 10:50:48 time: 0.5115 data_time: 0.0370 memory: 18108 grad_norm: 3.4442 loss: 4.2762 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5309 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7453 2023/02/01 18:52:28 - mmengine - INFO - Epoch(train) [125][1620/1879] lr: 6.4057e-02 eta: 1 day, 10:50:38 time: 0.5303 data_time: 0.0296 memory: 18108 grad_norm: 3.4131 loss: 4.0058 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.2950 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7107 2023/02/01 18:52:38 - mmengine - INFO - Epoch(train) [125][1640/1879] lr: 6.4050e-02 eta: 1 day, 10:50:28 time: 0.5225 data_time: 0.0378 memory: 18108 grad_norm: 3.4594 loss: 3.9555 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1692 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.7863 2023/02/01 18:52:49 - mmengine - INFO - Epoch(train) [125][1660/1879] lr: 6.4043e-02 eta: 1 day, 10:50:18 time: 0.5288 data_time: 0.0310 memory: 18108 grad_norm: 3.3463 loss: 4.3384 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6121 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.7263 2023/02/01 18:52:59 - mmengine - INFO - Epoch(train) [125][1680/1879] lr: 6.4035e-02 eta: 1 day, 10:50:09 time: 0.5260 data_time: 0.0449 memory: 18108 grad_norm: 3.3818 loss: 4.3060 top1_acc_0: 0.3750 top5_acc_0: 0.3750 loss_cls_0: 2.5116 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.7944 2023/02/01 18:53:10 - mmengine - INFO - Epoch(train) [125][1700/1879] lr: 6.4028e-02 eta: 1 day, 10:49:59 time: 0.5451 data_time: 0.0295 memory: 18108 grad_norm: 3.3694 loss: 4.0501 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3135 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.7366 2023/02/01 18:53:20 - mmengine - INFO - Epoch(train) [125][1720/1879] lr: 6.4021e-02 eta: 1 day, 10:49:49 time: 0.5045 data_time: 0.0386 memory: 18108 grad_norm: 3.3741 loss: 4.2665 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4135 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.8530 2023/02/01 18:53:31 - mmengine - INFO - Epoch(train) [125][1740/1879] lr: 6.4014e-02 eta: 1 day, 10:49:39 time: 0.5289 data_time: 0.0314 memory: 18108 grad_norm: 3.3868 loss: 4.2167 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4420 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.7747 2023/02/01 18:53:41 - mmengine - INFO - Epoch(train) [125][1760/1879] lr: 6.4007e-02 eta: 1 day, 10:49:29 time: 0.5206 data_time: 0.0376 memory: 18108 grad_norm: 3.3577 loss: 3.9789 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.2203 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.7586 2023/02/01 18:53:52 - mmengine - INFO - Epoch(train) [125][1780/1879] lr: 6.3999e-02 eta: 1 day, 10:49:20 time: 0.5443 data_time: 0.0309 memory: 18108 grad_norm: 3.4334 loss: 4.2158 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.5140 top1_acc_1: 0.6118 top5_acc_1: 0.9059 loss_cls_1: 1.7018 2023/02/01 18:54:02 - mmengine - INFO - Epoch(train) [125][1800/1879] lr: 6.3992e-02 eta: 1 day, 10:49:10 time: 0.5154 data_time: 0.0376 memory: 18108 grad_norm: 3.3334 loss: 3.9487 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1797 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7690 2023/02/01 18:54:13 - mmengine - INFO - Epoch(train) [125][1820/1879] lr: 6.3985e-02 eta: 1 day, 10:49:00 time: 0.5359 data_time: 0.0315 memory: 18108 grad_norm: 3.4412 loss: 3.9407 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2615 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.6792 2023/02/01 18:54:24 - mmengine - INFO - Epoch(train) [125][1840/1879] lr: 6.3978e-02 eta: 1 day, 10:48:50 time: 0.5251 data_time: 0.0396 memory: 18108 grad_norm: 3.3253 loss: 4.0426 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.3171 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.7255 2023/02/01 18:54:34 - mmengine - INFO - Epoch(train) [125][1860/1879] lr: 6.3970e-02 eta: 1 day, 10:48:40 time: 0.5153 data_time: 0.0289 memory: 18108 grad_norm: 3.3981 loss: 4.3529 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.5615 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.7913 2023/02/01 18:54:43 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 18:54:43 - mmengine - INFO - Epoch(train) [125][1879/1879] lr: 6.3964e-02 eta: 1 day, 10:48:30 time: 0.5030 data_time: 0.0284 memory: 18108 grad_norm: 3.5308 loss: 4.2411 top1_acc_0: 0.5714 top5_acc_0: 0.7143 loss_cls_0: 2.5350 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.7061 2023/02/01 18:54:59 - mmengine - INFO - Epoch(train) [126][ 20/1879] lr: 6.3956e-02 eta: 1 day, 10:48:25 time: 0.7186 data_time: 0.2654 memory: 18108 grad_norm: 3.3531 loss: 3.8289 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1316 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.6974 2023/02/01 18:55:08 - mmengine - INFO - Epoch(train) [126][ 40/1879] lr: 6.3949e-02 eta: 1 day, 10:48:14 time: 0.4776 data_time: 0.0340 memory: 18108 grad_norm: 3.3580 loss: 4.0405 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3504 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.6900 2023/02/01 18:55:18 - mmengine - INFO - Epoch(train) [126][ 60/1879] lr: 6.3942e-02 eta: 1 day, 10:48:03 time: 0.4764 data_time: 0.0356 memory: 18108 grad_norm: 3.3890 loss: 4.1272 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.4617 top1_acc_1: 0.5412 top5_acc_1: 0.8588 loss_cls_1: 1.6655 2023/02/01 18:55:28 - mmengine - INFO - Epoch(train) [126][ 80/1879] lr: 6.3935e-02 eta: 1 day, 10:47:53 time: 0.5334 data_time: 0.0362 memory: 18108 grad_norm: 3.3210 loss: 3.8554 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2951 top1_acc_1: 0.4941 top5_acc_1: 0.8941 loss_cls_1: 1.5602 2023/02/01 18:55:38 - mmengine - INFO - Epoch(train) [126][ 100/1879] lr: 6.3927e-02 eta: 1 day, 10:47:43 time: 0.4882 data_time: 0.0358 memory: 18108 grad_norm: 3.3367 loss: 3.9142 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3776 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.5366 2023/02/01 18:55:48 - mmengine - INFO - Epoch(train) [126][ 120/1879] lr: 6.3920e-02 eta: 1 day, 10:47:32 time: 0.4808 data_time: 0.0360 memory: 18108 grad_norm: 3.3092 loss: 4.0272 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3297 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.6975 2023/02/01 18:55:50 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 18:55:58 - mmengine - INFO - Epoch(train) [126][ 140/1879] lr: 6.3913e-02 eta: 1 day, 10:47:21 time: 0.4964 data_time: 0.0344 memory: 18108 grad_norm: 3.3410 loss: 4.0824 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4720 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.6104 2023/02/01 18:56:08 - mmengine - INFO - Epoch(train) [126][ 160/1879] lr: 6.3906e-02 eta: 1 day, 10:47:11 time: 0.5209 data_time: 0.0490 memory: 18108 grad_norm: 3.4985 loss: 4.0373 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3414 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.6959 2023/02/01 18:56:18 - mmengine - INFO - Epoch(train) [126][ 180/1879] lr: 6.3898e-02 eta: 1 day, 10:47:01 time: 0.4915 data_time: 0.0339 memory: 18108 grad_norm: 3.3932 loss: 3.9139 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1782 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7356 2023/02/01 18:56:28 - mmengine - INFO - Epoch(train) [126][ 200/1879] lr: 6.3891e-02 eta: 1 day, 10:46:50 time: 0.4946 data_time: 0.0335 memory: 18108 grad_norm: 3.4447 loss: 3.9739 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2158 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.7581 2023/02/01 18:56:38 - mmengine - INFO - Epoch(train) [126][ 220/1879] lr: 6.3884e-02 eta: 1 day, 10:46:40 time: 0.5112 data_time: 0.0426 memory: 18108 grad_norm: 3.3285 loss: 4.1060 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4786 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.6274 2023/02/01 18:56:48 - mmengine - INFO - Epoch(train) [126][ 240/1879] lr: 6.3877e-02 eta: 1 day, 10:46:30 time: 0.4996 data_time: 0.0348 memory: 18108 grad_norm: 3.3714 loss: 3.9023 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2384 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.6639 2023/02/01 18:56:58 - mmengine - INFO - Epoch(train) [126][ 260/1879] lr: 6.3869e-02 eta: 1 day, 10:46:19 time: 0.4845 data_time: 0.0334 memory: 18108 grad_norm: 3.4435 loss: 4.1648 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.4369 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.7279 2023/02/01 18:57:08 - mmengine - INFO - Epoch(train) [126][ 280/1879] lr: 6.3862e-02 eta: 1 day, 10:46:09 time: 0.4985 data_time: 0.0350 memory: 18108 grad_norm: 3.3934 loss: 4.0365 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4023 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.6341 2023/02/01 18:57:18 - mmengine - INFO - Epoch(train) [126][ 300/1879] lr: 6.3855e-02 eta: 1 day, 10:45:58 time: 0.5042 data_time: 0.0355 memory: 18108 grad_norm: 3.4150 loss: 4.0186 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.4010 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.6176 2023/02/01 18:57:28 - mmengine - INFO - Epoch(train) [126][ 320/1879] lr: 6.3848e-02 eta: 1 day, 10:45:48 time: 0.4916 data_time: 0.0354 memory: 18108 grad_norm: 3.3618 loss: 3.8345 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2058 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 1.6288 2023/02/01 18:57:38 - mmengine - INFO - Epoch(train) [126][ 340/1879] lr: 6.3841e-02 eta: 1 day, 10:45:37 time: 0.4906 data_time: 0.0362 memory: 18108 grad_norm: 3.4153 loss: 3.9482 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3426 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.6056 2023/02/01 18:57:48 - mmengine - INFO - Epoch(train) [126][ 360/1879] lr: 6.3833e-02 eta: 1 day, 10:45:27 time: 0.5011 data_time: 0.0412 memory: 18108 grad_norm: 3.4286 loss: 4.0453 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3442 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.7011 2023/02/01 18:57:58 - mmengine - INFO - Epoch(train) [126][ 380/1879] lr: 6.3826e-02 eta: 1 day, 10:45:17 time: 0.4980 data_time: 0.0328 memory: 18108 grad_norm: 3.3849 loss: 4.0129 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3413 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.6716 2023/02/01 18:58:08 - mmengine - INFO - Epoch(train) [126][ 400/1879] lr: 6.3819e-02 eta: 1 day, 10:45:06 time: 0.4920 data_time: 0.0335 memory: 18108 grad_norm: 3.4932 loss: 4.2040 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4407 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.7633 2023/02/01 18:58:18 - mmengine - INFO - Epoch(train) [126][ 420/1879] lr: 6.3812e-02 eta: 1 day, 10:44:56 time: 0.5027 data_time: 0.0339 memory: 18108 grad_norm: 3.4381 loss: 3.8210 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1589 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6621 2023/02/01 18:58:27 - mmengine - INFO - Epoch(train) [126][ 440/1879] lr: 6.3804e-02 eta: 1 day, 10:44:45 time: 0.4910 data_time: 0.0427 memory: 18108 grad_norm: 3.3634 loss: 4.1345 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4305 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.7040 2023/02/01 18:58:38 - mmengine - INFO - Epoch(train) [126][ 460/1879] lr: 6.3797e-02 eta: 1 day, 10:44:35 time: 0.5093 data_time: 0.0345 memory: 18108 grad_norm: 3.3851 loss: 3.9438 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.4143 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5295 2023/02/01 18:58:47 - mmengine - INFO - Epoch(train) [126][ 480/1879] lr: 6.3790e-02 eta: 1 day, 10:44:24 time: 0.4895 data_time: 0.0339 memory: 18108 grad_norm: 3.4235 loss: 4.1450 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3901 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.7549 2023/02/01 18:58:57 - mmengine - INFO - Epoch(train) [126][ 500/1879] lr: 6.3783e-02 eta: 1 day, 10:44:14 time: 0.4972 data_time: 0.0332 memory: 18108 grad_norm: 3.4815 loss: 4.1583 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4206 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7377 2023/02/01 18:59:07 - mmengine - INFO - Epoch(train) [126][ 520/1879] lr: 6.3775e-02 eta: 1 day, 10:44:04 time: 0.4992 data_time: 0.0428 memory: 18108 grad_norm: 3.3630 loss: 3.8567 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1486 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 1.7080 2023/02/01 18:59:17 - mmengine - INFO - Epoch(train) [126][ 540/1879] lr: 6.3768e-02 eta: 1 day, 10:43:53 time: 0.4995 data_time: 0.0346 memory: 18108 grad_norm: 3.3978 loss: 3.8749 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.2593 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.6155 2023/02/01 18:59:27 - mmengine - INFO - Epoch(train) [126][ 560/1879] lr: 6.3761e-02 eta: 1 day, 10:43:43 time: 0.5019 data_time: 0.0324 memory: 18108 grad_norm: 3.3498 loss: 3.8746 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.1684 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.7062 2023/02/01 18:59:38 - mmengine - INFO - Epoch(train) [126][ 580/1879] lr: 6.3754e-02 eta: 1 day, 10:43:33 time: 0.5088 data_time: 0.0450 memory: 18108 grad_norm: 3.4558 loss: 3.9002 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1815 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.7187 2023/02/01 18:59:48 - mmengine - INFO - Epoch(train) [126][ 600/1879] lr: 6.3746e-02 eta: 1 day, 10:43:22 time: 0.4972 data_time: 0.0311 memory: 18108 grad_norm: 3.3903 loss: 4.1273 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4569 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.6703 2023/02/01 18:59:58 - mmengine - INFO - Epoch(train) [126][ 620/1879] lr: 6.3739e-02 eta: 1 day, 10:43:12 time: 0.5148 data_time: 0.0377 memory: 18108 grad_norm: 3.4493 loss: 4.1219 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3465 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7754 2023/02/01 19:00:08 - mmengine - INFO - Epoch(train) [126][ 640/1879] lr: 6.3732e-02 eta: 1 day, 10:43:02 time: 0.5115 data_time: 0.0331 memory: 18108 grad_norm: 3.4049 loss: 3.9876 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2737 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.7140 2023/02/01 19:00:18 - mmengine - INFO - Epoch(train) [126][ 660/1879] lr: 6.3725e-02 eta: 1 day, 10:42:52 time: 0.4988 data_time: 0.0354 memory: 18108 grad_norm: 3.3770 loss: 4.2495 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5655 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.6840 2023/02/01 19:00:28 - mmengine - INFO - Epoch(train) [126][ 680/1879] lr: 6.3717e-02 eta: 1 day, 10:42:42 time: 0.5110 data_time: 0.0332 memory: 18108 grad_norm: 3.4329 loss: 4.1293 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4264 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.7028 2023/02/01 19:00:39 - mmengine - INFO - Epoch(train) [126][ 700/1879] lr: 6.3710e-02 eta: 1 day, 10:42:32 time: 0.5250 data_time: 0.0332 memory: 18108 grad_norm: 3.3983 loss: 3.9906 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2656 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.7250 2023/02/01 19:00:49 - mmengine - INFO - Epoch(train) [126][ 720/1879] lr: 6.3703e-02 eta: 1 day, 10:42:22 time: 0.5181 data_time: 0.0428 memory: 18108 grad_norm: 3.4599 loss: 4.0885 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3924 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.6961 2023/02/01 19:00:59 - mmengine - INFO - Epoch(train) [126][ 740/1879] lr: 6.3696e-02 eta: 1 day, 10:42:11 time: 0.5039 data_time: 0.0344 memory: 18108 grad_norm: 3.4282 loss: 4.5055 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.7175 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.7880 2023/02/01 19:01:10 - mmengine - INFO - Epoch(train) [126][ 760/1879] lr: 6.3688e-02 eta: 1 day, 10:42:01 time: 0.5222 data_time: 0.0323 memory: 18108 grad_norm: 3.4266 loss: 3.9706 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2404 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.7302 2023/02/01 19:01:20 - mmengine - INFO - Epoch(train) [126][ 780/1879] lr: 6.3681e-02 eta: 1 day, 10:41:51 time: 0.5151 data_time: 0.0424 memory: 18108 grad_norm: 3.4466 loss: 4.0650 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.3402 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7249 2023/02/01 19:01:30 - mmengine - INFO - Epoch(train) [126][ 800/1879] lr: 6.3674e-02 eta: 1 day, 10:41:41 time: 0.5034 data_time: 0.0334 memory: 18108 grad_norm: 3.4291 loss: 4.1532 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3883 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7650 2023/02/01 19:01:41 - mmengine - INFO - Epoch(train) [126][ 820/1879] lr: 6.3667e-02 eta: 1 day, 10:41:31 time: 0.5206 data_time: 0.0342 memory: 18108 grad_norm: 3.4343 loss: 4.2180 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4258 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.7922 2023/02/01 19:01:51 - mmengine - INFO - Epoch(train) [126][ 840/1879] lr: 6.3659e-02 eta: 1 day, 10:41:21 time: 0.5080 data_time: 0.0387 memory: 18108 grad_norm: 3.3411 loss: 3.9328 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1576 top1_acc_1: 0.6235 top5_acc_1: 0.8941 loss_cls_1: 1.7751 2023/02/01 19:02:01 - mmengine - INFO - Epoch(train) [126][ 860/1879] lr: 6.3652e-02 eta: 1 day, 10:41:11 time: 0.5083 data_time: 0.0327 memory: 18108 grad_norm: 3.3325 loss: 3.9236 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2496 top1_acc_1: 0.4941 top5_acc_1: 0.8353 loss_cls_1: 1.6740 2023/02/01 19:02:11 - mmengine - INFO - Epoch(train) [126][ 880/1879] lr: 6.3645e-02 eta: 1 day, 10:41:00 time: 0.5037 data_time: 0.0342 memory: 18108 grad_norm: 3.4061 loss: 4.1994 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5361 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.6633 2023/02/01 19:02:22 - mmengine - INFO - Epoch(train) [126][ 900/1879] lr: 6.3638e-02 eta: 1 day, 10:40:51 time: 0.5281 data_time: 0.0422 memory: 18108 grad_norm: 3.4219 loss: 4.2494 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5794 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.6700 2023/02/01 19:02:32 - mmengine - INFO - Epoch(train) [126][ 920/1879] lr: 6.3631e-02 eta: 1 day, 10:40:41 time: 0.5092 data_time: 0.0332 memory: 18108 grad_norm: 3.3435 loss: 4.0831 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3737 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.7094 2023/02/01 19:02:42 - mmengine - INFO - Epoch(train) [126][ 940/1879] lr: 6.3623e-02 eta: 1 day, 10:40:30 time: 0.5007 data_time: 0.0353 memory: 18108 grad_norm: 3.4577 loss: 4.2213 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.5040 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.7173 2023/02/01 19:02:52 - mmengine - INFO - Epoch(train) [126][ 960/1879] lr: 6.3616e-02 eta: 1 day, 10:40:20 time: 0.5198 data_time: 0.0346 memory: 18108 grad_norm: 3.4418 loss: 4.3233 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5589 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.7644 2023/02/01 19:03:02 - mmengine - INFO - Epoch(train) [126][ 980/1879] lr: 6.3609e-02 eta: 1 day, 10:40:10 time: 0.5076 data_time: 0.0397 memory: 18108 grad_norm: 3.3381 loss: 4.3823 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.6694 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.7129 2023/02/01 19:03:13 - mmengine - INFO - Epoch(train) [126][1000/1879] lr: 6.3602e-02 eta: 1 day, 10:40:00 time: 0.5042 data_time: 0.0343 memory: 18108 grad_norm: 3.3597 loss: 3.9872 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3710 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6162 2023/02/01 19:03:23 - mmengine - INFO - Epoch(train) [126][1020/1879] lr: 6.3594e-02 eta: 1 day, 10:39:50 time: 0.5180 data_time: 0.0342 memory: 18108 grad_norm: 3.4036 loss: 4.0333 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.3792 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6541 2023/02/01 19:03:33 - mmengine - INFO - Epoch(train) [126][1040/1879] lr: 6.3587e-02 eta: 1 day, 10:39:40 time: 0.5105 data_time: 0.0410 memory: 18108 grad_norm: 3.4269 loss: 4.1096 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4137 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.6959 2023/02/01 19:03:43 - mmengine - INFO - Epoch(train) [126][1060/1879] lr: 6.3580e-02 eta: 1 day, 10:39:29 time: 0.5036 data_time: 0.0334 memory: 18108 grad_norm: 3.3635 loss: 4.0513 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4146 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.6367 2023/02/01 19:03:53 - mmengine - INFO - Epoch(train) [126][1080/1879] lr: 6.3573e-02 eta: 1 day, 10:39:19 time: 0.5049 data_time: 0.0355 memory: 18108 grad_norm: 3.4316 loss: 4.1945 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4669 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7276 2023/02/01 19:04:04 - mmengine - INFO - Epoch(train) [126][1100/1879] lr: 6.3565e-02 eta: 1 day, 10:39:09 time: 0.5140 data_time: 0.0353 memory: 18108 grad_norm: 3.3608 loss: 3.9926 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3558 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.6368 2023/02/01 19:04:14 - mmengine - INFO - Epoch(train) [126][1120/1879] lr: 6.3558e-02 eta: 1 day, 10:38:59 time: 0.5033 data_time: 0.0403 memory: 18108 grad_norm: 3.4051 loss: 4.1958 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4465 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.7494 2023/02/01 19:04:16 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 19:04:24 - mmengine - INFO - Epoch(train) [126][1140/1879] lr: 6.3551e-02 eta: 1 day, 10:38:48 time: 0.5099 data_time: 0.0329 memory: 18108 grad_norm: 3.3723 loss: 4.3004 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5895 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7109 2023/02/01 19:04:34 - mmengine - INFO - Epoch(train) [126][1160/1879] lr: 6.3544e-02 eta: 1 day, 10:38:38 time: 0.5183 data_time: 0.0331 memory: 18108 grad_norm: 3.3150 loss: 3.9426 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2112 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.7314 2023/02/01 19:04:44 - mmengine - INFO - Epoch(train) [126][1180/1879] lr: 6.3536e-02 eta: 1 day, 10:38:28 time: 0.5042 data_time: 0.0407 memory: 18108 grad_norm: 3.3590 loss: 3.9259 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3092 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.6167 2023/02/01 19:04:55 - mmengine - INFO - Epoch(train) [126][1200/1879] lr: 6.3529e-02 eta: 1 day, 10:38:18 time: 0.5033 data_time: 0.0335 memory: 18108 grad_norm: 3.3215 loss: 4.1290 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3990 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.7300 2023/02/01 19:05:05 - mmengine - INFO - Epoch(train) [126][1220/1879] lr: 6.3522e-02 eta: 1 day, 10:38:08 time: 0.5376 data_time: 0.0383 memory: 18108 grad_norm: 3.4021 loss: 4.2000 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4613 top1_acc_1: 0.4824 top5_acc_1: 0.8235 loss_cls_1: 1.7387 2023/02/01 19:05:15 - mmengine - INFO - Epoch(train) [126][1240/1879] lr: 6.3515e-02 eta: 1 day, 10:37:58 time: 0.5053 data_time: 0.0266 memory: 18108 grad_norm: 3.4109 loss: 4.2070 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4690 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 1.7380 2023/02/01 19:05:26 - mmengine - INFO - Epoch(train) [126][1260/1879] lr: 6.3507e-02 eta: 1 day, 10:37:48 time: 0.5154 data_time: 0.0448 memory: 18108 grad_norm: 3.3709 loss: 4.2248 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.4765 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.7483 2023/02/01 19:05:36 - mmengine - INFO - Epoch(train) [126][1280/1879] lr: 6.3500e-02 eta: 1 day, 10:37:38 time: 0.5199 data_time: 0.0302 memory: 18108 grad_norm: 3.4641 loss: 4.1316 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4260 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.7056 2023/02/01 19:05:47 - mmengine - INFO - Epoch(train) [126][1300/1879] lr: 6.3493e-02 eta: 1 day, 10:37:28 time: 0.5273 data_time: 0.0383 memory: 18108 grad_norm: 3.3859 loss: 4.1483 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.3446 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.8037 2023/02/01 19:05:57 - mmengine - INFO - Epoch(train) [126][1320/1879] lr: 6.3486e-02 eta: 1 day, 10:37:18 time: 0.5172 data_time: 0.0383 memory: 18108 grad_norm: 3.4353 loss: 4.3900 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6378 top1_acc_1: 0.4471 top5_acc_1: 0.7882 loss_cls_1: 1.7522 2023/02/01 19:06:07 - mmengine - INFO - Epoch(train) [126][1340/1879] lr: 6.3478e-02 eta: 1 day, 10:37:08 time: 0.5069 data_time: 0.0359 memory: 18108 grad_norm: 3.4273 loss: 4.3951 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5831 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 1.8119 2023/02/01 19:06:18 - mmengine - INFO - Epoch(train) [126][1360/1879] lr: 6.3471e-02 eta: 1 day, 10:36:58 time: 0.5291 data_time: 0.0306 memory: 18108 grad_norm: 3.4291 loss: 4.0206 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3362 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.6844 2023/02/01 19:06:28 - mmengine - INFO - Epoch(train) [126][1380/1879] lr: 6.3464e-02 eta: 1 day, 10:36:48 time: 0.5252 data_time: 0.0454 memory: 18108 grad_norm: 3.4456 loss: 4.0770 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3811 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.6959 2023/02/01 19:06:39 - mmengine - INFO - Epoch(train) [126][1400/1879] lr: 6.3457e-02 eta: 1 day, 10:36:38 time: 0.5223 data_time: 0.0306 memory: 18108 grad_norm: 3.4684 loss: 4.1163 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4326 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.6836 2023/02/01 19:06:49 - mmengine - INFO - Epoch(train) [126][1420/1879] lr: 6.3449e-02 eta: 1 day, 10:36:29 time: 0.5302 data_time: 0.0354 memory: 18108 grad_norm: 3.4223 loss: 4.3025 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.4311 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.8713 2023/02/01 19:07:00 - mmengine - INFO - Epoch(train) [126][1440/1879] lr: 6.3442e-02 eta: 1 day, 10:36:19 time: 0.5169 data_time: 0.0302 memory: 18108 grad_norm: 3.4444 loss: 4.0486 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3895 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.6591 2023/02/01 19:07:10 - mmengine - INFO - Epoch(train) [126][1460/1879] lr: 6.3435e-02 eta: 1 day, 10:36:09 time: 0.5214 data_time: 0.0479 memory: 18108 grad_norm: 3.4040 loss: 4.0464 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3326 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.7138 2023/02/01 19:07:21 - mmengine - INFO - Epoch(train) [126][1480/1879] lr: 6.3428e-02 eta: 1 day, 10:35:59 time: 0.5279 data_time: 0.0302 memory: 18108 grad_norm: 3.3755 loss: 3.9694 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2373 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7321 2023/02/01 19:07:31 - mmengine - INFO - Epoch(train) [126][1500/1879] lr: 6.3420e-02 eta: 1 day, 10:35:49 time: 0.5255 data_time: 0.0360 memory: 18108 grad_norm: 3.4433 loss: 4.3459 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5675 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7783 2023/02/01 19:07:42 - mmengine - INFO - Epoch(train) [126][1520/1879] lr: 6.3413e-02 eta: 1 day, 10:35:39 time: 0.5149 data_time: 0.0296 memory: 18108 grad_norm: 3.4210 loss: 4.1036 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3551 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7485 2023/02/01 19:07:52 - mmengine - INFO - Epoch(train) [126][1540/1879] lr: 6.3406e-02 eta: 1 day, 10:35:29 time: 0.5324 data_time: 0.0444 memory: 18108 grad_norm: 3.4204 loss: 4.2726 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5383 top1_acc_1: 0.6118 top5_acc_1: 0.7529 loss_cls_1: 1.7343 2023/02/01 19:08:03 - mmengine - INFO - Epoch(train) [126][1560/1879] lr: 6.3398e-02 eta: 1 day, 10:35:19 time: 0.5235 data_time: 0.0308 memory: 18108 grad_norm: 3.3588 loss: 4.1716 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.3994 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.7722 2023/02/01 19:08:13 - mmengine - INFO - Epoch(train) [126][1580/1879] lr: 6.3391e-02 eta: 1 day, 10:35:09 time: 0.5135 data_time: 0.0356 memory: 18108 grad_norm: 3.3954 loss: 4.0646 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.3260 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7385 2023/02/01 19:08:24 - mmengine - INFO - Epoch(train) [126][1600/1879] lr: 6.3384e-02 eta: 1 day, 10:35:00 time: 0.5266 data_time: 0.0402 memory: 18108 grad_norm: 3.4585 loss: 4.3876 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.6367 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.7508 2023/02/01 19:08:34 - mmengine - INFO - Epoch(train) [126][1620/1879] lr: 6.3377e-02 eta: 1 day, 10:34:50 time: 0.5362 data_time: 0.0364 memory: 18108 grad_norm: 3.3773 loss: 4.0369 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2780 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7589 2023/02/01 19:08:45 - mmengine - INFO - Epoch(train) [126][1640/1879] lr: 6.3369e-02 eta: 1 day, 10:34:40 time: 0.5129 data_time: 0.0317 memory: 18108 grad_norm: 3.3590 loss: 4.1841 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4642 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.7199 2023/02/01 19:08:55 - mmengine - INFO - Epoch(train) [126][1660/1879] lr: 6.3362e-02 eta: 1 day, 10:34:30 time: 0.5097 data_time: 0.0369 memory: 18108 grad_norm: 3.4124 loss: 4.0874 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3959 top1_acc_1: 0.6588 top5_acc_1: 0.7765 loss_cls_1: 1.6915 2023/02/01 19:09:06 - mmengine - INFO - Epoch(train) [126][1680/1879] lr: 6.3355e-02 eta: 1 day, 10:34:20 time: 0.5494 data_time: 0.0361 memory: 18108 grad_norm: 3.3880 loss: 4.1624 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4217 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.7408 2023/02/01 19:09:16 - mmengine - INFO - Epoch(train) [126][1700/1879] lr: 6.3348e-02 eta: 1 day, 10:34:10 time: 0.5238 data_time: 0.0377 memory: 18108 grad_norm: 3.3584 loss: 4.1122 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 2.3946 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.7176 2023/02/01 19:09:27 - mmengine - INFO - Epoch(train) [126][1720/1879] lr: 6.3340e-02 eta: 1 day, 10:34:00 time: 0.5126 data_time: 0.0308 memory: 18108 grad_norm: 3.3439 loss: 4.0340 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3451 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.6890 2023/02/01 19:09:37 - mmengine - INFO - Epoch(train) [126][1740/1879] lr: 6.3333e-02 eta: 1 day, 10:33:51 time: 0.5370 data_time: 0.0357 memory: 18108 grad_norm: 3.3364 loss: 3.8597 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.1738 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 1.6859 2023/02/01 19:09:48 - mmengine - INFO - Epoch(train) [126][1760/1879] lr: 6.3326e-02 eta: 1 day, 10:33:41 time: 0.5228 data_time: 0.0297 memory: 18108 grad_norm: 3.4444 loss: 4.1617 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5027 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6591 2023/02/01 19:09:58 - mmengine - INFO - Epoch(train) [126][1780/1879] lr: 6.3319e-02 eta: 1 day, 10:33:31 time: 0.5152 data_time: 0.0400 memory: 18108 grad_norm: 3.4638 loss: 3.8902 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2378 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.6525 2023/02/01 19:10:08 - mmengine - INFO - Epoch(train) [126][1800/1879] lr: 6.3311e-02 eta: 1 day, 10:33:21 time: 0.5086 data_time: 0.0305 memory: 18108 grad_norm: 3.4331 loss: 4.0852 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4302 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.6550 2023/02/01 19:10:19 - mmengine - INFO - Epoch(train) [126][1820/1879] lr: 6.3304e-02 eta: 1 day, 10:33:11 time: 0.5526 data_time: 0.0429 memory: 18108 grad_norm: 3.4113 loss: 4.0674 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3823 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.6851 2023/02/01 19:10:30 - mmengine - INFO - Epoch(train) [126][1840/1879] lr: 6.3297e-02 eta: 1 day, 10:33:01 time: 0.5177 data_time: 0.0335 memory: 18108 grad_norm: 3.4015 loss: 4.0041 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.3878 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.6162 2023/02/01 19:10:40 - mmengine - INFO - Epoch(train) [126][1860/1879] lr: 6.3290e-02 eta: 1 day, 10:32:51 time: 0.5268 data_time: 0.0359 memory: 18108 grad_norm: 3.3590 loss: 4.1393 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3618 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7775 2023/02/01 19:10:50 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 19:10:50 - mmengine - INFO - Epoch(train) [126][1879/1879] lr: 6.3283e-02 eta: 1 day, 10:32:42 time: 0.5050 data_time: 0.0317 memory: 18108 grad_norm: 3.4901 loss: 4.2221 top1_acc_0: 0.7143 top5_acc_0: 0.7143 loss_cls_0: 2.3742 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.8479 2023/02/01 19:11:05 - mmengine - INFO - Epoch(train) [127][ 20/1879] lr: 6.3275e-02 eta: 1 day, 10:32:36 time: 0.7059 data_time: 0.2523 memory: 18108 grad_norm: 3.3048 loss: 4.0896 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4427 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.6469 2023/02/01 19:11:14 - mmengine - INFO - Epoch(train) [127][ 40/1879] lr: 6.3268e-02 eta: 1 day, 10:32:25 time: 0.4752 data_time: 0.0330 memory: 18108 grad_norm: 3.3209 loss: 4.0116 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3487 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.6629 2023/02/01 19:11:24 - mmengine - INFO - Epoch(train) [127][ 60/1879] lr: 6.3261e-02 eta: 1 day, 10:32:14 time: 0.4918 data_time: 0.0366 memory: 18108 grad_norm: 3.3977 loss: 4.1221 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4624 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6597 2023/02/01 19:11:34 - mmengine - INFO - Epoch(train) [127][ 80/1879] lr: 6.3254e-02 eta: 1 day, 10:32:04 time: 0.5045 data_time: 0.0431 memory: 18108 grad_norm: 3.4050 loss: 3.8019 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1908 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.6111 2023/02/01 19:11:44 - mmengine - INFO - Epoch(train) [127][ 100/1879] lr: 6.3246e-02 eta: 1 day, 10:31:53 time: 0.4909 data_time: 0.0364 memory: 18108 grad_norm: 3.4227 loss: 4.0816 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5054 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.5762 2023/02/01 19:11:54 - mmengine - INFO - Epoch(train) [127][ 120/1879] lr: 6.3239e-02 eta: 1 day, 10:31:43 time: 0.4813 data_time: 0.0350 memory: 18108 grad_norm: 3.3464 loss: 4.2120 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.5793 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.6328 2023/02/01 19:12:04 - mmengine - INFO - Epoch(train) [127][ 140/1879] lr: 6.3232e-02 eta: 1 day, 10:31:32 time: 0.5136 data_time: 0.0355 memory: 18108 grad_norm: 3.4238 loss: 4.1006 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5096 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.5910 2023/02/01 19:12:14 - mmengine - INFO - Epoch(train) [127][ 160/1879] lr: 6.3225e-02 eta: 1 day, 10:31:22 time: 0.4994 data_time: 0.0336 memory: 18108 grad_norm: 3.3754 loss: 4.0845 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.4426 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.6419 2023/02/01 19:12:24 - mmengine - INFO - Epoch(train) [127][ 180/1879] lr: 6.3217e-02 eta: 1 day, 10:31:12 time: 0.4922 data_time: 0.0348 memory: 18108 grad_norm: 3.4176 loss: 4.1617 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4631 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.6985 2023/02/01 19:12:33 - mmengine - INFO - Epoch(train) [127][ 200/1879] lr: 6.3210e-02 eta: 1 day, 10:31:01 time: 0.4808 data_time: 0.0351 memory: 18108 grad_norm: 3.3943 loss: 4.1968 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4752 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.7216 2023/02/01 19:12:44 - mmengine - INFO - Epoch(train) [127][ 220/1879] lr: 6.3203e-02 eta: 1 day, 10:30:51 time: 0.5170 data_time: 0.0341 memory: 18108 grad_norm: 3.4085 loss: 4.1258 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4248 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.7010 2023/02/01 19:12:54 - mmengine - INFO - Epoch(train) [127][ 240/1879] lr: 6.3196e-02 eta: 1 day, 10:30:40 time: 0.4890 data_time: 0.0334 memory: 18108 grad_norm: 3.4144 loss: 4.2909 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5603 top1_acc_1: 0.7176 top5_acc_1: 0.8235 loss_cls_1: 1.7307 2023/02/01 19:12:57 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 19:13:03 - mmengine - INFO - Epoch(train) [127][ 260/1879] lr: 6.3188e-02 eta: 1 day, 10:30:29 time: 0.4824 data_time: 0.0346 memory: 18108 grad_norm: 3.4787 loss: 4.0417 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3882 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.6535 2023/02/01 19:13:13 - mmengine - INFO - Epoch(train) [127][ 280/1879] lr: 6.3181e-02 eta: 1 day, 10:30:19 time: 0.4916 data_time: 0.0353 memory: 18108 grad_norm: 3.3854 loss: 4.2609 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5119 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7490 2023/02/01 19:13:23 - mmengine - INFO - Epoch(train) [127][ 300/1879] lr: 6.3174e-02 eta: 1 day, 10:30:09 time: 0.5088 data_time: 0.0412 memory: 18108 grad_norm: 3.4350 loss: 4.0199 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3568 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6631 2023/02/01 19:13:33 - mmengine - INFO - Epoch(train) [127][ 320/1879] lr: 6.3167e-02 eta: 1 day, 10:29:58 time: 0.4767 data_time: 0.0347 memory: 18108 grad_norm: 3.4862 loss: 4.2864 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5021 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.7842 2023/02/01 19:13:43 - mmengine - INFO - Epoch(train) [127][ 340/1879] lr: 6.3159e-02 eta: 1 day, 10:29:47 time: 0.4921 data_time: 0.0372 memory: 18108 grad_norm: 3.3182 loss: 3.9827 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3224 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.6603 2023/02/01 19:13:52 - mmengine - INFO - Epoch(train) [127][ 360/1879] lr: 6.3152e-02 eta: 1 day, 10:29:36 time: 0.4766 data_time: 0.0359 memory: 18108 grad_norm: 3.3343 loss: 3.9779 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2874 top1_acc_1: 0.6588 top5_acc_1: 0.7882 loss_cls_1: 1.6905 2023/02/01 19:14:03 - mmengine - INFO - Epoch(train) [127][ 380/1879] lr: 6.3145e-02 eta: 1 day, 10:29:26 time: 0.5148 data_time: 0.0417 memory: 18108 grad_norm: 3.3442 loss: 4.1266 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.4318 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.6948 2023/02/01 19:14:12 - mmengine - INFO - Epoch(train) [127][ 400/1879] lr: 6.3137e-02 eta: 1 day, 10:29:16 time: 0.4818 data_time: 0.0361 memory: 18108 grad_norm: 3.5077 loss: 3.9420 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3201 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.6220 2023/02/01 19:14:22 - mmengine - INFO - Epoch(train) [127][ 420/1879] lr: 6.3130e-02 eta: 1 day, 10:29:05 time: 0.4939 data_time: 0.0373 memory: 18108 grad_norm: 3.4519 loss: 4.0502 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.4200 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.6302 2023/02/01 19:14:32 - mmengine - INFO - Epoch(train) [127][ 440/1879] lr: 6.3123e-02 eta: 1 day, 10:28:55 time: 0.4981 data_time: 0.0415 memory: 18108 grad_norm: 3.3919 loss: 4.1421 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3990 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7431 2023/02/01 19:14:42 - mmengine - INFO - Epoch(train) [127][ 460/1879] lr: 6.3116e-02 eta: 1 day, 10:28:45 time: 0.5063 data_time: 0.0348 memory: 18108 grad_norm: 3.4092 loss: 3.8742 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2478 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.6264 2023/02/01 19:14:52 - mmengine - INFO - Epoch(train) [127][ 480/1879] lr: 6.3108e-02 eta: 1 day, 10:28:34 time: 0.4803 data_time: 0.0342 memory: 18108 grad_norm: 3.4416 loss: 4.1668 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4634 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7034 2023/02/01 19:15:02 - mmengine - INFO - Epoch(train) [127][ 500/1879] lr: 6.3101e-02 eta: 1 day, 10:28:24 time: 0.5123 data_time: 0.0348 memory: 18108 grad_norm: 3.4323 loss: 3.9039 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2088 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.6950 2023/02/01 19:15:12 - mmengine - INFO - Epoch(train) [127][ 520/1879] lr: 6.3094e-02 eta: 1 day, 10:28:13 time: 0.4938 data_time: 0.0421 memory: 18108 grad_norm: 3.4142 loss: 4.1901 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3605 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.8296 2023/02/01 19:15:22 - mmengine - INFO - Epoch(train) [127][ 540/1879] lr: 6.3087e-02 eta: 1 day, 10:28:03 time: 0.5061 data_time: 0.0347 memory: 18108 grad_norm: 3.4364 loss: 3.9646 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3344 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.6302 2023/02/01 19:15:32 - mmengine - INFO - Epoch(train) [127][ 560/1879] lr: 6.3079e-02 eta: 1 day, 10:27:52 time: 0.4947 data_time: 0.0384 memory: 18108 grad_norm: 3.4102 loss: 4.1768 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5049 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.6719 2023/02/01 19:15:42 - mmengine - INFO - Epoch(train) [127][ 580/1879] lr: 6.3072e-02 eta: 1 day, 10:27:42 time: 0.5137 data_time: 0.0373 memory: 18108 grad_norm: 3.4818 loss: 4.2110 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4847 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.7263 2023/02/01 19:15:52 - mmengine - INFO - Epoch(train) [127][ 600/1879] lr: 6.3065e-02 eta: 1 day, 10:27:32 time: 0.4989 data_time: 0.0394 memory: 18108 grad_norm: 3.3783 loss: 4.0865 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3985 top1_acc_1: 0.6706 top5_acc_1: 0.8000 loss_cls_1: 1.6880 2023/02/01 19:16:02 - mmengine - INFO - Epoch(train) [127][ 620/1879] lr: 6.3057e-02 eta: 1 day, 10:27:22 time: 0.4999 data_time: 0.0320 memory: 18108 grad_norm: 3.4027 loss: 4.1257 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3683 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.7574 2023/02/01 19:16:12 - mmengine - INFO - Epoch(train) [127][ 640/1879] lr: 6.3050e-02 eta: 1 day, 10:27:11 time: 0.5072 data_time: 0.0457 memory: 18108 grad_norm: 3.3970 loss: 4.0007 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.3184 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6823 2023/02/01 19:16:23 - mmengine - INFO - Epoch(train) [127][ 660/1879] lr: 6.3043e-02 eta: 1 day, 10:27:01 time: 0.5111 data_time: 0.0302 memory: 18108 grad_norm: 3.4380 loss: 3.8955 top1_acc_0: 0.5000 top5_acc_0: 1.0000 loss_cls_0: 2.3128 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.5828 2023/02/01 19:16:33 - mmengine - INFO - Epoch(train) [127][ 680/1879] lr: 6.3036e-02 eta: 1 day, 10:26:51 time: 0.4895 data_time: 0.0391 memory: 18108 grad_norm: 3.4193 loss: 4.1044 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3918 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7126 2023/02/01 19:16:43 - mmengine - INFO - Epoch(train) [127][ 700/1879] lr: 6.3028e-02 eta: 1 day, 10:26:40 time: 0.5034 data_time: 0.0302 memory: 18108 grad_norm: 3.3922 loss: 4.0560 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3539 top1_acc_1: 0.5412 top5_acc_1: 0.6941 loss_cls_1: 1.7020 2023/02/01 19:16:53 - mmengine - INFO - Epoch(train) [127][ 720/1879] lr: 6.3021e-02 eta: 1 day, 10:26:30 time: 0.5096 data_time: 0.0457 memory: 18108 grad_norm: 3.3952 loss: 4.0312 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.3745 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.6567 2023/02/01 19:17:03 - mmengine - INFO - Epoch(train) [127][ 740/1879] lr: 6.3014e-02 eta: 1 day, 10:26:20 time: 0.5038 data_time: 0.0307 memory: 18108 grad_norm: 3.4523 loss: 4.1639 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3937 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7702 2023/02/01 19:17:13 - mmengine - INFO - Epoch(train) [127][ 760/1879] lr: 6.3007e-02 eta: 1 day, 10:26:09 time: 0.4976 data_time: 0.0392 memory: 18108 grad_norm: 3.3924 loss: 4.0380 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.3359 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.7021 2023/02/01 19:17:23 - mmengine - INFO - Epoch(train) [127][ 780/1879] lr: 6.2999e-02 eta: 1 day, 10:25:59 time: 0.5195 data_time: 0.0313 memory: 18108 grad_norm: 3.4586 loss: 3.9495 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3113 top1_acc_1: 0.6824 top5_acc_1: 0.9294 loss_cls_1: 1.6382 2023/02/01 19:17:33 - mmengine - INFO - Epoch(train) [127][ 800/1879] lr: 6.2992e-02 eta: 1 day, 10:25:49 time: 0.4971 data_time: 0.0385 memory: 18108 grad_norm: 3.3879 loss: 3.8649 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2543 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.6106 2023/02/01 19:17:44 - mmengine - INFO - Epoch(train) [127][ 820/1879] lr: 6.2985e-02 eta: 1 day, 10:25:39 time: 0.5126 data_time: 0.0300 memory: 18108 grad_norm: 3.3430 loss: 4.1662 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.4802 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6860 2023/02/01 19:17:54 - mmengine - INFO - Epoch(train) [127][ 840/1879] lr: 6.2978e-02 eta: 1 day, 10:25:29 time: 0.5059 data_time: 0.0435 memory: 18108 grad_norm: 3.4600 loss: 4.3345 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5150 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.8195 2023/02/01 19:18:04 - mmengine - INFO - Epoch(train) [127][ 860/1879] lr: 6.2970e-02 eta: 1 day, 10:25:19 time: 0.5128 data_time: 0.0298 memory: 18108 grad_norm: 3.3587 loss: 4.0391 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.2739 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.7652 2023/02/01 19:18:14 - mmengine - INFO - Epoch(train) [127][ 880/1879] lr: 6.2963e-02 eta: 1 day, 10:25:08 time: 0.5086 data_time: 0.0386 memory: 18108 grad_norm: 3.4557 loss: 4.2337 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.5204 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.7134 2023/02/01 19:18:24 - mmengine - INFO - Epoch(train) [127][ 900/1879] lr: 6.2956e-02 eta: 1 day, 10:24:58 time: 0.5166 data_time: 0.0365 memory: 18108 grad_norm: 3.4388 loss: 4.2298 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4552 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7746 2023/02/01 19:18:35 - mmengine - INFO - Epoch(train) [127][ 920/1879] lr: 6.2948e-02 eta: 1 day, 10:24:48 time: 0.5062 data_time: 0.0387 memory: 18108 grad_norm: 3.4243 loss: 4.1468 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.3135 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.8333 2023/02/01 19:18:45 - mmengine - INFO - Epoch(train) [127][ 940/1879] lr: 6.2941e-02 eta: 1 day, 10:24:38 time: 0.5033 data_time: 0.0301 memory: 18108 grad_norm: 3.3693 loss: 3.9794 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.2512 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.7282 2023/02/01 19:18:55 - mmengine - INFO - Epoch(train) [127][ 960/1879] lr: 6.2934e-02 eta: 1 day, 10:24:28 time: 0.5147 data_time: 0.0380 memory: 18108 grad_norm: 3.4203 loss: 4.0753 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4095 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.6659 2023/02/01 19:19:05 - mmengine - INFO - Epoch(train) [127][ 980/1879] lr: 6.2927e-02 eta: 1 day, 10:24:18 time: 0.5153 data_time: 0.0364 memory: 18108 grad_norm: 3.5352 loss: 4.0351 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.3464 top1_acc_1: 0.5176 top5_acc_1: 0.8471 loss_cls_1: 1.6887 2023/02/01 19:19:15 - mmengine - INFO - Epoch(train) [127][1000/1879] lr: 6.2919e-02 eta: 1 day, 10:24:07 time: 0.5034 data_time: 0.0383 memory: 18108 grad_norm: 3.3962 loss: 4.0174 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2648 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.7526 2023/02/01 19:19:26 - mmengine - INFO - Epoch(train) [127][1020/1879] lr: 6.2912e-02 eta: 1 day, 10:23:57 time: 0.5124 data_time: 0.0292 memory: 18108 grad_norm: 3.4949 loss: 4.1790 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3944 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.7846 2023/02/01 19:19:36 - mmengine - INFO - Epoch(train) [127][1040/1879] lr: 6.2905e-02 eta: 1 day, 10:23:47 time: 0.5041 data_time: 0.0474 memory: 18108 grad_norm: 3.4231 loss: 3.9709 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2332 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.7376 2023/02/01 19:19:46 - mmengine - INFO - Epoch(train) [127][1060/1879] lr: 6.2897e-02 eta: 1 day, 10:23:37 time: 0.5125 data_time: 0.0293 memory: 18108 grad_norm: 3.3789 loss: 3.9446 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2469 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.6978 2023/02/01 19:19:56 - mmengine - INFO - Epoch(train) [127][1080/1879] lr: 6.2890e-02 eta: 1 day, 10:23:27 time: 0.4998 data_time: 0.0377 memory: 18108 grad_norm: 3.4187 loss: 4.4016 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5858 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.8157 2023/02/01 19:20:07 - mmengine - INFO - Epoch(train) [127][1100/1879] lr: 6.2883e-02 eta: 1 day, 10:23:17 time: 0.5261 data_time: 0.0316 memory: 18108 grad_norm: 3.4213 loss: 4.0808 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2854 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.7954 2023/02/01 19:20:17 - mmengine - INFO - Epoch(train) [127][1120/1879] lr: 6.2876e-02 eta: 1 day, 10:23:07 time: 0.5107 data_time: 0.0468 memory: 18108 grad_norm: 3.4085 loss: 4.1336 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3541 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.7795 2023/02/01 19:20:27 - mmengine - INFO - Epoch(train) [127][1140/1879] lr: 6.2868e-02 eta: 1 day, 10:22:56 time: 0.5047 data_time: 0.0293 memory: 18108 grad_norm: 3.3944 loss: 4.0127 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.3322 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.6806 2023/02/01 19:20:37 - mmengine - INFO - Epoch(train) [127][1160/1879] lr: 6.2861e-02 eta: 1 day, 10:22:46 time: 0.5087 data_time: 0.0358 memory: 18108 grad_norm: 3.3491 loss: 4.0443 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2899 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.7543 2023/02/01 19:20:47 - mmengine - INFO - Epoch(train) [127][1180/1879] lr: 6.2854e-02 eta: 1 day, 10:22:36 time: 0.5133 data_time: 0.0303 memory: 18108 grad_norm: 3.4390 loss: 4.0622 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3751 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6871 2023/02/01 19:20:57 - mmengine - INFO - Epoch(train) [127][1200/1879] lr: 6.2847e-02 eta: 1 day, 10:22:26 time: 0.5054 data_time: 0.0374 memory: 18108 grad_norm: 3.3799 loss: 3.9162 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.1645 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.7517 2023/02/01 19:21:08 - mmengine - INFO - Epoch(train) [127][1220/1879] lr: 6.2839e-02 eta: 1 day, 10:22:16 time: 0.5118 data_time: 0.0319 memory: 18108 grad_norm: 3.4163 loss: 3.9989 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2966 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7023 2023/02/01 19:21:18 - mmengine - INFO - Epoch(train) [127][1240/1879] lr: 6.2832e-02 eta: 1 day, 10:22:05 time: 0.5061 data_time: 0.0469 memory: 18108 grad_norm: 3.3743 loss: 4.1492 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3971 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.7521 2023/02/01 19:21:21 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 19:21:28 - mmengine - INFO - Epoch(train) [127][1260/1879] lr: 6.2825e-02 eta: 1 day, 10:21:55 time: 0.5189 data_time: 0.0301 memory: 18108 grad_norm: 3.3258 loss: 4.0431 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3625 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.6807 2023/02/01 19:21:38 - mmengine - INFO - Epoch(train) [127][1280/1879] lr: 6.2817e-02 eta: 1 day, 10:21:45 time: 0.5021 data_time: 0.0378 memory: 18108 grad_norm: 3.5073 loss: 3.9709 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4023 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.5686 2023/02/01 19:21:51 - mmengine - INFO - Epoch(train) [127][1300/1879] lr: 6.2810e-02 eta: 1 day, 10:21:37 time: 0.6381 data_time: 0.0292 memory: 18108 grad_norm: 3.4076 loss: 4.1740 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4243 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.7497 2023/02/01 19:22:01 - mmengine - INFO - Epoch(train) [127][1320/1879] lr: 6.2803e-02 eta: 1 day, 10:21:27 time: 0.5090 data_time: 0.0460 memory: 18108 grad_norm: 3.4382 loss: 4.1377 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 2.3785 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.7593 2023/02/01 19:22:12 - mmengine - INFO - Epoch(train) [127][1340/1879] lr: 6.2796e-02 eta: 1 day, 10:21:17 time: 0.5187 data_time: 0.0310 memory: 18108 grad_norm: 3.4010 loss: 4.0507 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3283 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.7224 2023/02/01 19:22:22 - mmengine - INFO - Epoch(train) [127][1360/1879] lr: 6.2788e-02 eta: 1 day, 10:21:08 time: 0.5296 data_time: 0.0366 memory: 18108 grad_norm: 3.3891 loss: 3.9199 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2564 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.6634 2023/02/01 19:22:33 - mmengine - INFO - Epoch(train) [127][1380/1879] lr: 6.2781e-02 eta: 1 day, 10:20:57 time: 0.5145 data_time: 0.0295 memory: 18108 grad_norm: 3.4794 loss: 4.3100 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.5566 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7534 2023/02/01 19:22:43 - mmengine - INFO - Epoch(train) [127][1400/1879] lr: 6.2774e-02 eta: 1 day, 10:20:47 time: 0.5158 data_time: 0.0379 memory: 18108 grad_norm: 3.4146 loss: 4.3297 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.7051 top1_acc_1: 0.5176 top5_acc_1: 0.8824 loss_cls_1: 1.6247 2023/02/01 19:22:53 - mmengine - INFO - Epoch(train) [127][1420/1879] lr: 6.2766e-02 eta: 1 day, 10:20:38 time: 0.5252 data_time: 0.0320 memory: 18108 grad_norm: 3.4534 loss: 4.4960 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.7175 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7785 2023/02/01 19:23:04 - mmengine - INFO - Epoch(train) [127][1440/1879] lr: 6.2759e-02 eta: 1 day, 10:20:27 time: 0.5133 data_time: 0.0447 memory: 18108 grad_norm: 3.4661 loss: 4.1291 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3715 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.7576 2023/02/01 19:23:14 - mmengine - INFO - Epoch(train) [127][1460/1879] lr: 6.2752e-02 eta: 1 day, 10:20:17 time: 0.5184 data_time: 0.0301 memory: 18108 grad_norm: 3.4272 loss: 3.8653 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1665 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.6989 2023/02/01 19:23:24 - mmengine - INFO - Epoch(train) [127][1480/1879] lr: 6.2745e-02 eta: 1 day, 10:20:07 time: 0.5071 data_time: 0.0406 memory: 18108 grad_norm: 3.4513 loss: 4.0723 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3091 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.7632 2023/02/01 19:23:35 - mmengine - INFO - Epoch(train) [127][1500/1879] lr: 6.2737e-02 eta: 1 day, 10:19:57 time: 0.5292 data_time: 0.0293 memory: 18108 grad_norm: 3.4393 loss: 4.1096 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4510 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.6585 2023/02/01 19:23:45 - mmengine - INFO - Epoch(train) [127][1520/1879] lr: 6.2730e-02 eta: 1 day, 10:19:47 time: 0.5155 data_time: 0.0439 memory: 18108 grad_norm: 3.3624 loss: 4.2103 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5350 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6753 2023/02/01 19:23:56 - mmengine - INFO - Epoch(train) [127][1540/1879] lr: 6.2723e-02 eta: 1 day, 10:19:37 time: 0.5210 data_time: 0.0300 memory: 18108 grad_norm: 3.3674 loss: 4.1593 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3631 top1_acc_1: 0.4588 top5_acc_1: 0.7294 loss_cls_1: 1.7961 2023/02/01 19:24:06 - mmengine - INFO - Epoch(train) [127][1560/1879] lr: 6.2715e-02 eta: 1 day, 10:19:28 time: 0.5259 data_time: 0.0398 memory: 18108 grad_norm: 3.3555 loss: 4.2597 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4956 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.7642 2023/02/01 19:24:17 - mmengine - INFO - Epoch(train) [127][1580/1879] lr: 6.2708e-02 eta: 1 day, 10:19:18 time: 0.5198 data_time: 0.0386 memory: 18108 grad_norm: 3.4229 loss: 3.9545 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3105 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.6440 2023/02/01 19:24:27 - mmengine - INFO - Epoch(train) [127][1600/1879] lr: 6.2701e-02 eta: 1 day, 10:19:08 time: 0.5102 data_time: 0.0390 memory: 18108 grad_norm: 3.3906 loss: 4.1804 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3949 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.7855 2023/02/01 19:24:37 - mmengine - INFO - Epoch(train) [127][1620/1879] lr: 6.2694e-02 eta: 1 day, 10:18:58 time: 0.5237 data_time: 0.0293 memory: 18108 grad_norm: 3.4152 loss: 3.9856 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3286 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.6570 2023/02/01 19:24:48 - mmengine - INFO - Epoch(train) [127][1640/1879] lr: 6.2686e-02 eta: 1 day, 10:18:48 time: 0.5121 data_time: 0.0466 memory: 18108 grad_norm: 3.4406 loss: 3.9699 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2664 top1_acc_1: 0.6353 top5_acc_1: 0.7647 loss_cls_1: 1.7035 2023/02/01 19:24:58 - mmengine - INFO - Epoch(train) [127][1660/1879] lr: 6.2679e-02 eta: 1 day, 10:18:37 time: 0.5142 data_time: 0.0306 memory: 18108 grad_norm: 3.4737 loss: 4.1812 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5091 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.6721 2023/02/01 19:25:08 - mmengine - INFO - Epoch(train) [127][1680/1879] lr: 6.2672e-02 eta: 1 day, 10:18:27 time: 0.5030 data_time: 0.0382 memory: 18108 grad_norm: 3.4052 loss: 4.2087 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.3852 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.8234 2023/02/01 19:25:19 - mmengine - INFO - Epoch(train) [127][1700/1879] lr: 6.2664e-02 eta: 1 day, 10:18:18 time: 0.5390 data_time: 0.0295 memory: 18108 grad_norm: 3.4322 loss: 4.0063 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3610 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.6453 2023/02/01 19:25:29 - mmengine - INFO - Epoch(train) [127][1720/1879] lr: 6.2657e-02 eta: 1 day, 10:18:08 time: 0.5260 data_time: 0.0506 memory: 18108 grad_norm: 3.4698 loss: 4.0257 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3378 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.6879 2023/02/01 19:25:40 - mmengine - INFO - Epoch(train) [127][1740/1879] lr: 6.2650e-02 eta: 1 day, 10:17:58 time: 0.5190 data_time: 0.0299 memory: 18108 grad_norm: 3.5155 loss: 3.9170 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.1216 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7954 2023/02/01 19:25:50 - mmengine - INFO - Epoch(train) [127][1760/1879] lr: 6.2643e-02 eta: 1 day, 10:17:48 time: 0.5274 data_time: 0.0380 memory: 18108 grad_norm: 3.5075 loss: 4.3865 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.6227 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7638 2023/02/01 19:26:01 - mmengine - INFO - Epoch(train) [127][1780/1879] lr: 6.2635e-02 eta: 1 day, 10:17:38 time: 0.5320 data_time: 0.0378 memory: 18108 grad_norm: 3.3969 loss: 4.1160 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3313 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.7847 2023/02/01 19:26:11 - mmengine - INFO - Epoch(train) [127][1800/1879] lr: 6.2628e-02 eta: 1 day, 10:17:28 time: 0.5096 data_time: 0.0373 memory: 18108 grad_norm: 3.4041 loss: 4.0940 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 2.3679 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7261 2023/02/01 19:26:22 - mmengine - INFO - Epoch(train) [127][1820/1879] lr: 6.2621e-02 eta: 1 day, 10:17:18 time: 0.5218 data_time: 0.0303 memory: 18108 grad_norm: 3.4320 loss: 4.1542 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.4489 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7053 2023/02/01 19:26:32 - mmengine - INFO - Epoch(train) [127][1840/1879] lr: 6.2613e-02 eta: 1 day, 10:17:08 time: 0.5035 data_time: 0.0375 memory: 18108 grad_norm: 3.3824 loss: 3.9320 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.2560 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.6759 2023/02/01 19:26:42 - mmengine - INFO - Epoch(train) [127][1860/1879] lr: 6.2606e-02 eta: 1 day, 10:16:58 time: 0.5175 data_time: 0.0305 memory: 18108 grad_norm: 3.3522 loss: 4.2378 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5559 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.6819 2023/02/01 19:26:51 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 19:26:51 - mmengine - INFO - Epoch(train) [127][1879/1879] lr: 6.2599e-02 eta: 1 day, 10:16:48 time: 0.4916 data_time: 0.0365 memory: 18108 grad_norm: 3.4651 loss: 4.4013 top1_acc_0: 0.2857 top5_acc_0: 0.5714 loss_cls_0: 2.6189 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.7825 2023/02/01 19:27:06 - mmengine - INFO - Epoch(train) [128][ 20/1879] lr: 6.2592e-02 eta: 1 day, 10:16:42 time: 0.7111 data_time: 0.2480 memory: 18108 grad_norm: 3.3321 loss: 3.8546 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1666 top1_acc_1: 0.5412 top5_acc_1: 0.7059 loss_cls_1: 1.6880 2023/02/01 19:27:16 - mmengine - INFO - Epoch(train) [128][ 40/1879] lr: 6.2585e-02 eta: 1 day, 10:16:31 time: 0.4730 data_time: 0.0336 memory: 18108 grad_norm: 3.4285 loss: 4.0128 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.3870 top1_acc_1: 0.7059 top5_acc_1: 0.8235 loss_cls_1: 1.6258 2023/02/01 19:27:25 - mmengine - INFO - Epoch(train) [128][ 60/1879] lr: 6.2577e-02 eta: 1 day, 10:16:20 time: 0.4799 data_time: 0.0406 memory: 18108 grad_norm: 3.3304 loss: 4.0016 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3604 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.6412 2023/02/01 19:27:36 - mmengine - INFO - Epoch(train) [128][ 80/1879] lr: 6.2570e-02 eta: 1 day, 10:16:10 time: 0.5187 data_time: 0.0410 memory: 18108 grad_norm: 3.4157 loss: 4.0345 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3628 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6716 2023/02/01 19:27:45 - mmengine - INFO - Epoch(train) [128][ 100/1879] lr: 6.2563e-02 eta: 1 day, 10:15:59 time: 0.4821 data_time: 0.0418 memory: 18108 grad_norm: 3.4561 loss: 4.1722 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4442 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.7279 2023/02/01 19:27:55 - mmengine - INFO - Epoch(train) [128][ 120/1879] lr: 6.2556e-02 eta: 1 day, 10:15:48 time: 0.4712 data_time: 0.0336 memory: 18108 grad_norm: 3.4060 loss: 4.1998 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5947 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.6050 2023/02/01 19:28:05 - mmengine - INFO - Epoch(train) [128][ 140/1879] lr: 6.2548e-02 eta: 1 day, 10:15:38 time: 0.5075 data_time: 0.0460 memory: 18108 grad_norm: 3.4096 loss: 4.1270 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.4578 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.6692 2023/02/01 19:28:15 - mmengine - INFO - Epoch(train) [128][ 160/1879] lr: 6.2541e-02 eta: 1 day, 10:15:28 time: 0.4970 data_time: 0.0313 memory: 18108 grad_norm: 3.4339 loss: 4.0815 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3586 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.7229 2023/02/01 19:28:25 - mmengine - INFO - Epoch(train) [128][ 180/1879] lr: 6.2534e-02 eta: 1 day, 10:15:17 time: 0.4870 data_time: 0.0368 memory: 18108 grad_norm: 3.4068 loss: 3.9663 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3382 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.6281 2023/02/01 19:28:35 - mmengine - INFO - Epoch(train) [128][ 200/1879] lr: 6.2526e-02 eta: 1 day, 10:15:06 time: 0.4862 data_time: 0.0396 memory: 18108 grad_norm: 3.4013 loss: 4.0001 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2705 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.7296 2023/02/01 19:28:45 - mmengine - INFO - Epoch(train) [128][ 220/1879] lr: 6.2519e-02 eta: 1 day, 10:14:57 time: 0.5344 data_time: 0.0383 memory: 18108 grad_norm: 3.4089 loss: 3.9661 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3761 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.5900 2023/02/01 19:28:55 - mmengine - INFO - Epoch(train) [128][ 240/1879] lr: 6.2512e-02 eta: 1 day, 10:14:46 time: 0.4886 data_time: 0.0297 memory: 18108 grad_norm: 3.4733 loss: 4.2582 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.6061 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.6521 2023/02/01 19:29:05 - mmengine - INFO - Epoch(train) [128][ 260/1879] lr: 6.2504e-02 eta: 1 day, 10:14:36 time: 0.5028 data_time: 0.0457 memory: 18108 grad_norm: 3.4353 loss: 4.1010 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.3766 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.7243 2023/02/01 19:29:15 - mmengine - INFO - Epoch(train) [128][ 280/1879] lr: 6.2497e-02 eta: 1 day, 10:14:26 time: 0.5056 data_time: 0.0280 memory: 18108 grad_norm: 3.4238 loss: 4.1403 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3968 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.7435 2023/02/01 19:29:26 - mmengine - INFO - Epoch(train) [128][ 300/1879] lr: 6.2490e-02 eta: 1 day, 10:14:16 time: 0.5147 data_time: 0.0352 memory: 18108 grad_norm: 3.3441 loss: 4.1038 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.4514 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6523 2023/02/01 19:29:35 - mmengine - INFO - Epoch(train) [128][ 320/1879] lr: 6.2483e-02 eta: 1 day, 10:14:05 time: 0.4859 data_time: 0.0308 memory: 18108 grad_norm: 3.3931 loss: 3.9056 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.2808 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.6247 2023/02/01 19:29:45 - mmengine - INFO - Epoch(train) [128][ 340/1879] lr: 6.2475e-02 eta: 1 day, 10:13:55 time: 0.5032 data_time: 0.0420 memory: 18108 grad_norm: 3.4082 loss: 4.2132 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5902 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.6231 2023/02/01 19:29:56 - mmengine - INFO - Epoch(train) [128][ 360/1879] lr: 6.2468e-02 eta: 1 day, 10:13:45 time: 0.5236 data_time: 0.0286 memory: 18108 grad_norm: 3.3907 loss: 4.0823 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3970 top1_acc_1: 0.6588 top5_acc_1: 0.7882 loss_cls_1: 1.6852 2023/02/01 19:29:59 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 19:30:06 - mmengine - INFO - Epoch(train) [128][ 380/1879] lr: 6.2461e-02 eta: 1 day, 10:13:35 time: 0.5088 data_time: 0.0391 memory: 18108 grad_norm: 3.3079 loss: 3.9685 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3255 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6430 2023/02/01 19:30:16 - mmengine - INFO - Epoch(train) [128][ 400/1879] lr: 6.2453e-02 eta: 1 day, 10:13:25 time: 0.5170 data_time: 0.0353 memory: 18108 grad_norm: 3.4332 loss: 4.2861 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.6573 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.6288 2023/02/01 19:30:27 - mmengine - INFO - Epoch(train) [128][ 420/1879] lr: 6.2446e-02 eta: 1 day, 10:13:15 time: 0.5181 data_time: 0.0363 memory: 18108 grad_norm: 3.3849 loss: 4.0111 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3619 top1_acc_1: 0.5765 top5_acc_1: 0.8824 loss_cls_1: 1.6492 2023/02/01 19:30:37 - mmengine - INFO - Epoch(train) [128][ 440/1879] lr: 6.2439e-02 eta: 1 day, 10:13:05 time: 0.5233 data_time: 0.0302 memory: 18108 grad_norm: 3.4190 loss: 3.9596 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3527 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.6069 2023/02/01 19:30:48 - mmengine - INFO - Epoch(train) [128][ 460/1879] lr: 6.2432e-02 eta: 1 day, 10:12:55 time: 0.5174 data_time: 0.0434 memory: 18108 grad_norm: 3.4077 loss: 4.0635 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4013 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.6623 2023/02/01 19:30:58 - mmengine - INFO - Epoch(train) [128][ 480/1879] lr: 6.2424e-02 eta: 1 day, 10:12:45 time: 0.5167 data_time: 0.0299 memory: 18108 grad_norm: 3.5109 loss: 4.2212 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5746 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.6466 2023/02/01 19:31:09 - mmengine - INFO - Epoch(train) [128][ 500/1879] lr: 6.2417e-02 eta: 1 day, 10:12:35 time: 0.5289 data_time: 0.0370 memory: 18108 grad_norm: 3.4332 loss: 4.3739 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6723 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7017 2023/02/01 19:31:19 - mmengine - INFO - Epoch(train) [128][ 520/1879] lr: 6.2410e-02 eta: 1 day, 10:12:25 time: 0.5191 data_time: 0.0368 memory: 18108 grad_norm: 3.4037 loss: 3.9949 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3343 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6606 2023/02/01 19:31:29 - mmengine - INFO - Epoch(train) [128][ 540/1879] lr: 6.2402e-02 eta: 1 day, 10:12:15 time: 0.5077 data_time: 0.0388 memory: 18108 grad_norm: 3.4285 loss: 3.7677 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0809 top1_acc_1: 0.6824 top5_acc_1: 0.8118 loss_cls_1: 1.6868 2023/02/01 19:31:40 - mmengine - INFO - Epoch(train) [128][ 560/1879] lr: 6.2395e-02 eta: 1 day, 10:12:05 time: 0.5304 data_time: 0.0297 memory: 18108 grad_norm: 3.4902 loss: 3.9392 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2569 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.6823 2023/02/01 19:31:50 - mmengine - INFO - Epoch(train) [128][ 580/1879] lr: 6.2388e-02 eta: 1 day, 10:11:55 time: 0.5149 data_time: 0.0366 memory: 18108 grad_norm: 3.4083 loss: 4.1387 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4377 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.7010 2023/02/01 19:32:00 - mmengine - INFO - Epoch(train) [128][ 600/1879] lr: 6.2380e-02 eta: 1 day, 10:11:45 time: 0.5043 data_time: 0.0308 memory: 18108 grad_norm: 3.4145 loss: 4.2077 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4622 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.7455 2023/02/01 19:32:11 - mmengine - INFO - Epoch(train) [128][ 620/1879] lr: 6.2373e-02 eta: 1 day, 10:11:35 time: 0.5208 data_time: 0.0381 memory: 18108 grad_norm: 3.4257 loss: 4.1061 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.3763 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.7298 2023/02/01 19:32:21 - mmengine - INFO - Epoch(train) [128][ 640/1879] lr: 6.2366e-02 eta: 1 day, 10:11:24 time: 0.5135 data_time: 0.0297 memory: 18108 grad_norm: 3.4097 loss: 3.9505 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2849 top1_acc_1: 0.6118 top5_acc_1: 0.9059 loss_cls_1: 1.6656 2023/02/01 19:32:31 - mmengine - INFO - Epoch(train) [128][ 660/1879] lr: 6.2359e-02 eta: 1 day, 10:11:14 time: 0.5066 data_time: 0.0355 memory: 18108 grad_norm: 3.4298 loss: 4.3601 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6265 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.7336 2023/02/01 19:32:41 - mmengine - INFO - Epoch(train) [128][ 680/1879] lr: 6.2351e-02 eta: 1 day, 10:11:04 time: 0.5131 data_time: 0.0291 memory: 18108 grad_norm: 3.4234 loss: 3.8913 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2274 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6640 2023/02/01 19:32:52 - mmengine - INFO - Epoch(train) [128][ 700/1879] lr: 6.2344e-02 eta: 1 day, 10:10:54 time: 0.5194 data_time: 0.0447 memory: 18108 grad_norm: 3.4191 loss: 3.9930 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2610 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.7319 2023/02/01 19:33:02 - mmengine - INFO - Epoch(train) [128][ 720/1879] lr: 6.2337e-02 eta: 1 day, 10:10:44 time: 0.5062 data_time: 0.0308 memory: 18108 grad_norm: 3.4033 loss: 3.9139 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 2.1194 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.7945 2023/02/01 19:33:12 - mmengine - INFO - Epoch(train) [128][ 740/1879] lr: 6.2329e-02 eta: 1 day, 10:10:34 time: 0.5125 data_time: 0.0388 memory: 18108 grad_norm: 3.5114 loss: 3.9687 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2441 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.7247 2023/02/01 19:33:22 - mmengine - INFO - Epoch(train) [128][ 760/1879] lr: 6.2322e-02 eta: 1 day, 10:10:24 time: 0.5110 data_time: 0.0317 memory: 18108 grad_norm: 3.3878 loss: 4.1077 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3011 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.8066 2023/02/01 19:33:33 - mmengine - INFO - Epoch(train) [128][ 780/1879] lr: 6.2315e-02 eta: 1 day, 10:10:14 time: 0.5120 data_time: 0.0453 memory: 18108 grad_norm: 3.3948 loss: 4.0756 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4038 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.6718 2023/02/01 19:33:43 - mmengine - INFO - Epoch(train) [128][ 800/1879] lr: 6.2308e-02 eta: 1 day, 10:10:03 time: 0.5033 data_time: 0.0315 memory: 18108 grad_norm: 3.5056 loss: 4.1499 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4760 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.6739 2023/02/01 19:33:53 - mmengine - INFO - Epoch(train) [128][ 820/1879] lr: 6.2300e-02 eta: 1 day, 10:09:53 time: 0.5154 data_time: 0.0365 memory: 18108 grad_norm: 3.3726 loss: 4.0028 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.1949 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.8079 2023/02/01 19:34:03 - mmengine - INFO - Epoch(train) [128][ 840/1879] lr: 6.2293e-02 eta: 1 day, 10:09:43 time: 0.5131 data_time: 0.0386 memory: 18108 grad_norm: 3.4594 loss: 4.1599 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.5280 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6319 2023/02/01 19:34:13 - mmengine - INFO - Epoch(train) [128][ 860/1879] lr: 6.2286e-02 eta: 1 day, 10:09:33 time: 0.4967 data_time: 0.0391 memory: 18108 grad_norm: 3.4428 loss: 4.0262 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3252 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.7009 2023/02/01 19:34:23 - mmengine - INFO - Epoch(train) [128][ 880/1879] lr: 6.2278e-02 eta: 1 day, 10:09:22 time: 0.5060 data_time: 0.0305 memory: 18108 grad_norm: 3.4075 loss: 3.8538 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.1753 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.6785 2023/02/01 19:34:34 - mmengine - INFO - Epoch(train) [128][ 900/1879] lr: 6.2271e-02 eta: 1 day, 10:09:12 time: 0.5066 data_time: 0.0453 memory: 18108 grad_norm: 3.4813 loss: 4.1389 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.3680 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.7709 2023/02/01 19:34:43 - mmengine - INFO - Epoch(train) [128][ 920/1879] lr: 6.2264e-02 eta: 1 day, 10:09:02 time: 0.4986 data_time: 0.0303 memory: 18108 grad_norm: 3.4337 loss: 4.0020 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2545 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.7475 2023/02/01 19:34:53 - mmengine - INFO - Epoch(train) [128][ 940/1879] lr: 6.2256e-02 eta: 1 day, 10:08:51 time: 0.4988 data_time: 0.0377 memory: 18108 grad_norm: 3.4562 loss: 4.1472 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4207 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.7264 2023/02/01 19:35:04 - mmengine - INFO - Epoch(train) [128][ 960/1879] lr: 6.2249e-02 eta: 1 day, 10:08:41 time: 0.5225 data_time: 0.0363 memory: 18108 grad_norm: 3.4040 loss: 3.9189 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.2616 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.6573 2023/02/01 19:35:14 - mmengine - INFO - Epoch(train) [128][ 980/1879] lr: 6.2242e-02 eta: 1 day, 10:08:31 time: 0.5186 data_time: 0.0369 memory: 18108 grad_norm: 3.3765 loss: 4.0397 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.3876 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.6520 2023/02/01 19:35:25 - mmengine - INFO - Epoch(train) [128][1000/1879] lr: 6.2234e-02 eta: 1 day, 10:08:21 time: 0.5106 data_time: 0.0300 memory: 18108 grad_norm: 3.4028 loss: 4.1787 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4845 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.6942 2023/02/01 19:35:35 - mmengine - INFO - Epoch(train) [128][1020/1879] lr: 6.2227e-02 eta: 1 day, 10:08:12 time: 0.5279 data_time: 0.0341 memory: 18108 grad_norm: 3.4094 loss: 4.2721 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.5446 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.7275 2023/02/01 19:35:46 - mmengine - INFO - Epoch(train) [128][1040/1879] lr: 6.2220e-02 eta: 1 day, 10:08:02 time: 0.5290 data_time: 0.0293 memory: 18108 grad_norm: 3.4050 loss: 4.1492 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4046 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7446 2023/02/01 19:35:56 - mmengine - INFO - Epoch(train) [128][1060/1879] lr: 6.2213e-02 eta: 1 day, 10:07:51 time: 0.5047 data_time: 0.0367 memory: 18108 grad_norm: 3.4465 loss: 4.1806 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4227 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7579 2023/02/01 19:36:06 - mmengine - INFO - Epoch(train) [128][1080/1879] lr: 6.2205e-02 eta: 1 day, 10:07:42 time: 0.5265 data_time: 0.0374 memory: 18108 grad_norm: 3.3998 loss: 3.9014 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1970 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.7044 2023/02/01 19:36:17 - mmengine - INFO - Epoch(train) [128][1100/1879] lr: 6.2198e-02 eta: 1 day, 10:07:31 time: 0.5112 data_time: 0.0361 memory: 18108 grad_norm: 3.3924 loss: 4.1339 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4770 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6569 2023/02/01 19:36:27 - mmengine - INFO - Epoch(train) [128][1120/1879] lr: 6.2191e-02 eta: 1 day, 10:07:22 time: 0.5241 data_time: 0.0283 memory: 18108 grad_norm: 3.4150 loss: 4.2853 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5798 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.7055 2023/02/01 19:36:37 - mmengine - INFO - Epoch(train) [128][1140/1879] lr: 6.2183e-02 eta: 1 day, 10:07:11 time: 0.5136 data_time: 0.0364 memory: 18108 grad_norm: 3.4488 loss: 4.0713 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3835 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.6878 2023/02/01 19:36:48 - mmengine - INFO - Epoch(train) [128][1160/1879] lr: 6.2176e-02 eta: 1 day, 10:07:02 time: 0.5304 data_time: 0.0352 memory: 18108 grad_norm: 3.4253 loss: 4.2337 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5190 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.7147 2023/02/01 19:36:58 - mmengine - INFO - Epoch(train) [128][1180/1879] lr: 6.2169e-02 eta: 1 day, 10:06:52 time: 0.5207 data_time: 0.0389 memory: 18108 grad_norm: 3.4663 loss: 4.0844 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4291 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.6554 2023/02/01 19:37:09 - mmengine - INFO - Epoch(train) [128][1200/1879] lr: 6.2161e-02 eta: 1 day, 10:06:42 time: 0.5185 data_time: 0.0290 memory: 18108 grad_norm: 3.4715 loss: 4.1109 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4185 top1_acc_1: 0.4588 top5_acc_1: 0.7882 loss_cls_1: 1.6924 2023/02/01 19:37:19 - mmengine - INFO - Epoch(train) [128][1220/1879] lr: 6.2154e-02 eta: 1 day, 10:06:32 time: 0.5250 data_time: 0.0484 memory: 18108 grad_norm: 3.4458 loss: 4.2869 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4932 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.7937 2023/02/01 19:37:30 - mmengine - INFO - Epoch(train) [128][1240/1879] lr: 6.2147e-02 eta: 1 day, 10:06:22 time: 0.5239 data_time: 0.0265 memory: 18108 grad_norm: 3.4101 loss: 4.3138 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.6085 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7054 2023/02/01 19:37:40 - mmengine - INFO - Epoch(train) [128][1260/1879] lr: 6.2140e-02 eta: 1 day, 10:06:12 time: 0.5207 data_time: 0.0373 memory: 18108 grad_norm: 3.4268 loss: 4.4270 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.6689 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7581 2023/02/01 19:37:51 - mmengine - INFO - Epoch(train) [128][1280/1879] lr: 6.2132e-02 eta: 1 day, 10:06:02 time: 0.5128 data_time: 0.0304 memory: 18108 grad_norm: 3.4107 loss: 4.2117 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4892 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.7225 2023/02/01 19:38:01 - mmengine - INFO - Epoch(train) [128][1300/1879] lr: 6.2125e-02 eta: 1 day, 10:05:52 time: 0.5237 data_time: 0.0370 memory: 18108 grad_norm: 3.4299 loss: 4.1197 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4607 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.6591 2023/02/01 19:38:11 - mmengine - INFO - Epoch(train) [128][1320/1879] lr: 6.2118e-02 eta: 1 day, 10:05:42 time: 0.5074 data_time: 0.0305 memory: 18108 grad_norm: 3.4930 loss: 4.3010 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5254 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.7756 2023/02/01 19:38:22 - mmengine - INFO - Epoch(train) [128][1340/1879] lr: 6.2110e-02 eta: 1 day, 10:05:32 time: 0.5213 data_time: 0.0443 memory: 18108 grad_norm: 3.3916 loss: 4.1449 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.4417 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.7031 2023/02/01 19:38:32 - mmengine - INFO - Epoch(train) [128][1360/1879] lr: 6.2103e-02 eta: 1 day, 10:05:22 time: 0.5138 data_time: 0.0273 memory: 18108 grad_norm: 3.4975 loss: 3.9706 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3380 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.6326 2023/02/01 19:38:36 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 19:38:42 - mmengine - INFO - Epoch(train) [128][1380/1879] lr: 6.2096e-02 eta: 1 day, 10:05:12 time: 0.5172 data_time: 0.0359 memory: 18108 grad_norm: 3.4339 loss: 4.0286 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2633 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7653 2023/02/01 19:38:53 - mmengine - INFO - Epoch(train) [128][1400/1879] lr: 6.2088e-02 eta: 1 day, 10:05:02 time: 0.5174 data_time: 0.0302 memory: 18108 grad_norm: 3.4589 loss: 4.0863 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.3509 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.7354 2023/02/01 19:39:03 - mmengine - INFO - Epoch(train) [128][1420/1879] lr: 6.2081e-02 eta: 1 day, 10:04:52 time: 0.5127 data_time: 0.0457 memory: 18108 grad_norm: 3.4051 loss: 4.1903 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4833 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7070 2023/02/01 19:39:13 - mmengine - INFO - Epoch(train) [128][1440/1879] lr: 6.2074e-02 eta: 1 day, 10:04:42 time: 0.5191 data_time: 0.0295 memory: 18108 grad_norm: 3.4553 loss: 4.1697 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4344 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.7353 2023/02/01 19:39:24 - mmengine - INFO - Epoch(train) [128][1460/1879] lr: 6.2066e-02 eta: 1 day, 10:04:32 time: 0.5094 data_time: 0.0384 memory: 18108 grad_norm: 3.4644 loss: 4.1749 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3441 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.8308 2023/02/01 19:39:34 - mmengine - INFO - Epoch(train) [128][1480/1879] lr: 6.2059e-02 eta: 1 day, 10:04:22 time: 0.5240 data_time: 0.0358 memory: 18108 grad_norm: 3.4276 loss: 4.0769 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4384 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.6386 2023/02/01 19:39:44 - mmengine - INFO - Epoch(train) [128][1500/1879] lr: 6.2052e-02 eta: 1 day, 10:04:12 time: 0.5199 data_time: 0.0353 memory: 18108 grad_norm: 3.4215 loss: 4.0370 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4127 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.6242 2023/02/01 19:39:55 - mmengine - INFO - Epoch(train) [128][1520/1879] lr: 6.2045e-02 eta: 1 day, 10:04:01 time: 0.5084 data_time: 0.0298 memory: 18108 grad_norm: 3.4151 loss: 4.2698 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5341 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7357 2023/02/01 19:40:05 - mmengine - INFO - Epoch(train) [128][1540/1879] lr: 6.2037e-02 eta: 1 day, 10:03:52 time: 0.5206 data_time: 0.0445 memory: 18108 grad_norm: 3.4181 loss: 4.1960 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5234 top1_acc_1: 0.4941 top5_acc_1: 0.8235 loss_cls_1: 1.6726 2023/02/01 19:40:16 - mmengine - INFO - Epoch(train) [128][1560/1879] lr: 6.2030e-02 eta: 1 day, 10:03:42 time: 0.5264 data_time: 0.0331 memory: 18108 grad_norm: 3.4054 loss: 4.2121 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.4641 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.7480 2023/02/01 19:40:26 - mmengine - INFO - Epoch(train) [128][1580/1879] lr: 6.2023e-02 eta: 1 day, 10:03:31 time: 0.5063 data_time: 0.0386 memory: 18108 grad_norm: 3.4501 loss: 4.4077 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6696 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7382 2023/02/01 19:40:36 - mmengine - INFO - Epoch(train) [128][1600/1879] lr: 6.2015e-02 eta: 1 day, 10:03:21 time: 0.5137 data_time: 0.0385 memory: 18108 grad_norm: 3.4664 loss: 3.9285 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1921 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.7364 2023/02/01 19:40:46 - mmengine - INFO - Epoch(train) [128][1620/1879] lr: 6.2008e-02 eta: 1 day, 10:03:11 time: 0.5197 data_time: 0.0369 memory: 18108 grad_norm: 3.4742 loss: 4.3127 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.5848 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.7278 2023/02/01 19:40:57 - mmengine - INFO - Epoch(train) [128][1640/1879] lr: 6.2001e-02 eta: 1 day, 10:03:01 time: 0.5187 data_time: 0.0295 memory: 18108 grad_norm: 3.3868 loss: 3.9128 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2014 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7114 2023/02/01 19:41:07 - mmengine - INFO - Epoch(train) [128][1660/1879] lr: 6.1993e-02 eta: 1 day, 10:02:51 time: 0.5046 data_time: 0.0428 memory: 18108 grad_norm: 3.4798 loss: 4.5251 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.7527 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.7725 2023/02/01 19:41:17 - mmengine - INFO - Epoch(train) [128][1680/1879] lr: 6.1986e-02 eta: 1 day, 10:02:41 time: 0.5183 data_time: 0.0302 memory: 18108 grad_norm: 3.4322 loss: 4.1132 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4334 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.6797 2023/02/01 19:41:28 - mmengine - INFO - Epoch(train) [128][1700/1879] lr: 6.1979e-02 eta: 1 day, 10:02:31 time: 0.5153 data_time: 0.0370 memory: 18108 grad_norm: 3.3476 loss: 4.0346 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3488 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 1.6858 2023/02/01 19:41:38 - mmengine - INFO - Epoch(train) [128][1720/1879] lr: 6.1971e-02 eta: 1 day, 10:02:21 time: 0.5212 data_time: 0.0403 memory: 18108 grad_norm: 3.4577 loss: 3.9921 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1904 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.8018 2023/02/01 19:41:48 - mmengine - INFO - Epoch(train) [128][1740/1879] lr: 6.1964e-02 eta: 1 day, 10:02:11 time: 0.5136 data_time: 0.0366 memory: 18108 grad_norm: 3.4626 loss: 3.9602 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2575 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.7026 2023/02/01 19:41:59 - mmengine - INFO - Epoch(train) [128][1760/1879] lr: 6.1957e-02 eta: 1 day, 10:02:01 time: 0.5184 data_time: 0.0353 memory: 18108 grad_norm: 3.4392 loss: 4.1376 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3964 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7413 2023/02/01 19:42:09 - mmengine - INFO - Epoch(train) [128][1780/1879] lr: 6.1949e-02 eta: 1 day, 10:01:51 time: 0.5281 data_time: 0.0343 memory: 18108 grad_norm: 3.3974 loss: 4.1639 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4953 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.6685 2023/02/01 19:42:19 - mmengine - INFO - Epoch(train) [128][1800/1879] lr: 6.1942e-02 eta: 1 day, 10:01:41 time: 0.5059 data_time: 0.0311 memory: 18108 grad_norm: 3.4455 loss: 3.9844 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.2966 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.6878 2023/02/01 19:42:30 - mmengine - INFO - Epoch(train) [128][1820/1879] lr: 6.1935e-02 eta: 1 day, 10:01:31 time: 0.5315 data_time: 0.0362 memory: 18108 grad_norm: 3.4598 loss: 4.3661 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.5933 top1_acc_1: 0.5412 top5_acc_1: 0.6941 loss_cls_1: 1.7728 2023/02/01 19:42:40 - mmengine - INFO - Epoch(train) [128][1840/1879] lr: 6.1928e-02 eta: 1 day, 10:01:21 time: 0.5135 data_time: 0.0314 memory: 18108 grad_norm: 3.4935 loss: 4.0437 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3282 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.7155 2023/02/01 19:42:50 - mmengine - INFO - Epoch(train) [128][1860/1879] lr: 6.1920e-02 eta: 1 day, 10:01:11 time: 0.5009 data_time: 0.0382 memory: 18108 grad_norm: 3.4397 loss: 4.4092 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6985 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.7107 2023/02/01 19:43:00 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 19:43:00 - mmengine - INFO - Epoch(train) [128][1879/1879] lr: 6.1913e-02 eta: 1 day, 10:01:01 time: 0.4892 data_time: 0.0261 memory: 18108 grad_norm: 3.4789 loss: 4.2132 top1_acc_0: 0.5714 top5_acc_0: 0.8571 loss_cls_0: 2.3941 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.8191 2023/02/01 19:43:00 - mmengine - INFO - Saving checkpoint at 128 epochs 2023/02/01 19:43:11 - mmengine - INFO - Epoch(val) [128][ 20/155] eta: 0:01:01 time: 0.4566 data_time: 0.3431 memory: 1906 2023/02/01 19:43:20 - mmengine - INFO - Epoch(val) [128][ 40/155] eta: 0:00:51 time: 0.4422 data_time: 0.3310 memory: 1906 2023/02/01 19:43:28 - mmengine - INFO - Epoch(val) [128][ 60/155] eta: 0:00:41 time: 0.4229 data_time: 0.3120 memory: 1906 2023/02/01 19:43:38 - mmengine - INFO - Epoch(val) [128][ 80/155] eta: 0:00:33 time: 0.4599 data_time: 0.3493 memory: 1906 2023/02/01 19:43:46 - mmengine - INFO - Epoch(val) [128][100/155] eta: 0:00:24 time: 0.4431 data_time: 0.3298 memory: 1906 2023/02/01 19:43:56 - mmengine - INFO - Epoch(val) [128][120/155] eta: 0:00:15 time: 0.4592 data_time: 0.3489 memory: 1906 2023/02/01 19:44:05 - mmengine - INFO - Epoch(val) [128][140/155] eta: 0:00:06 time: 0.4466 data_time: 0.3364 memory: 1906 2023/02/01 19:44:12 - mmengine - INFO - Epoch(val) [128][155/155] acc/top1: 0.4864 acc/top5: 0.7486 acc/mean1: 0.4861 2023/02/01 19:44:27 - mmengine - INFO - Epoch(train) [129][ 20/1879] lr: 6.1906e-02 eta: 1 day, 10:00:55 time: 0.7442 data_time: 0.2600 memory: 18108 grad_norm: 3.3459 loss: 4.0287 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3357 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6929 2023/02/01 19:44:37 - mmengine - INFO - Epoch(train) [129][ 40/1879] lr: 6.1899e-02 eta: 1 day, 10:00:45 time: 0.4828 data_time: 0.0342 memory: 18108 grad_norm: 3.3780 loss: 4.1147 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.4977 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.6170 2023/02/01 19:44:47 - mmengine - INFO - Epoch(train) [129][ 60/1879] lr: 6.1891e-02 eta: 1 day, 10:00:35 time: 0.5181 data_time: 0.0333 memory: 18108 grad_norm: 3.4896 loss: 4.0700 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.3416 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.7284 2023/02/01 19:44:58 - mmengine - INFO - Epoch(train) [129][ 80/1879] lr: 6.1884e-02 eta: 1 day, 10:00:25 time: 0.5233 data_time: 0.0336 memory: 18108 grad_norm: 3.3853 loss: 3.8844 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.2070 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.6775 2023/02/01 19:45:08 - mmengine - INFO - Epoch(train) [129][ 100/1879] lr: 6.1877e-02 eta: 1 day, 10:00:14 time: 0.4953 data_time: 0.0327 memory: 18108 grad_norm: 3.4219 loss: 3.8977 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3055 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.5922 2023/02/01 19:45:17 - mmengine - INFO - Epoch(train) [129][ 120/1879] lr: 6.1869e-02 eta: 1 day, 10:00:03 time: 0.4793 data_time: 0.0330 memory: 18108 grad_norm: 3.4172 loss: 3.7575 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1151 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.6424 2023/02/01 19:45:28 - mmengine - INFO - Epoch(train) [129][ 140/1879] lr: 6.1862e-02 eta: 1 day, 9:59:54 time: 0.5261 data_time: 0.0343 memory: 18108 grad_norm: 3.4244 loss: 4.1121 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3581 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.7540 2023/02/01 19:45:38 - mmengine - INFO - Epoch(train) [129][ 160/1879] lr: 6.1855e-02 eta: 1 day, 9:59:43 time: 0.4966 data_time: 0.0417 memory: 18108 grad_norm: 3.4344 loss: 3.8483 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2268 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.6215 2023/02/01 19:45:48 - mmengine - INFO - Epoch(train) [129][ 180/1879] lr: 6.1847e-02 eta: 1 day, 9:59:33 time: 0.5020 data_time: 0.0351 memory: 18108 grad_norm: 3.4779 loss: 4.0070 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3797 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.6274 2023/02/01 19:45:58 - mmengine - INFO - Epoch(train) [129][ 200/1879] lr: 6.1840e-02 eta: 1 day, 9:59:23 time: 0.5093 data_time: 0.0327 memory: 18108 grad_norm: 3.5198 loss: 4.0759 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3686 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.7074 2023/02/01 19:46:09 - mmengine - INFO - Epoch(train) [129][ 220/1879] lr: 6.1833e-02 eta: 1 day, 9:59:13 time: 0.5309 data_time: 0.0359 memory: 18108 grad_norm: 3.4223 loss: 3.7725 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0716 top1_acc_1: 0.5294 top5_acc_1: 0.8471 loss_cls_1: 1.7009 2023/02/01 19:46:19 - mmengine - INFO - Epoch(train) [129][ 240/1879] lr: 6.1826e-02 eta: 1 day, 9:59:03 time: 0.5077 data_time: 0.0438 memory: 18108 grad_norm: 3.3982 loss: 4.0279 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3487 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.6793 2023/02/01 19:46:29 - mmengine - INFO - Epoch(train) [129][ 260/1879] lr: 6.1818e-02 eta: 1 day, 9:58:52 time: 0.5101 data_time: 0.0353 memory: 18108 grad_norm: 3.4178 loss: 4.1850 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4403 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.7447 2023/02/01 19:46:39 - mmengine - INFO - Epoch(train) [129][ 280/1879] lr: 6.1811e-02 eta: 1 day, 9:58:43 time: 0.5194 data_time: 0.0324 memory: 18108 grad_norm: 3.4890 loss: 4.0714 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3815 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.6898 2023/02/01 19:46:50 - mmengine - INFO - Epoch(train) [129][ 300/1879] lr: 6.1804e-02 eta: 1 day, 9:58:33 time: 0.5259 data_time: 0.0334 memory: 18108 grad_norm: 3.3724 loss: 3.9272 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2511 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.6761 2023/02/01 19:47:00 - mmengine - INFO - Epoch(train) [129][ 320/1879] lr: 6.1796e-02 eta: 1 day, 9:58:22 time: 0.5041 data_time: 0.0336 memory: 18108 grad_norm: 3.3918 loss: 3.8551 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1667 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.6884 2023/02/01 19:47:11 - mmengine - INFO - Epoch(train) [129][ 340/1879] lr: 6.1789e-02 eta: 1 day, 9:58:13 time: 0.5265 data_time: 0.0365 memory: 18108 grad_norm: 3.4229 loss: 4.1132 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.4904 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 1.6228 2023/02/01 19:47:21 - mmengine - INFO - Epoch(train) [129][ 360/1879] lr: 6.1782e-02 eta: 1 day, 9:58:02 time: 0.5149 data_time: 0.0323 memory: 18108 grad_norm: 3.4113 loss: 4.2040 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4798 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7242 2023/02/01 19:47:31 - mmengine - INFO - Epoch(train) [129][ 380/1879] lr: 6.1774e-02 eta: 1 day, 9:57:53 time: 0.5243 data_time: 0.0345 memory: 18108 grad_norm: 3.4078 loss: 3.9846 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3278 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.6568 2023/02/01 19:47:42 - mmengine - INFO - Epoch(train) [129][ 400/1879] lr: 6.1767e-02 eta: 1 day, 9:57:43 time: 0.5174 data_time: 0.0434 memory: 18108 grad_norm: 3.4565 loss: 4.1281 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4166 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7115 2023/02/01 19:47:53 - mmengine - INFO - Epoch(train) [129][ 420/1879] lr: 6.1760e-02 eta: 1 day, 9:57:33 time: 0.5466 data_time: 0.0327 memory: 18108 grad_norm: 3.5397 loss: 4.3923 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6916 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.7007 2023/02/01 19:48:03 - mmengine - INFO - Epoch(train) [129][ 440/1879] lr: 6.1752e-02 eta: 1 day, 9:57:23 time: 0.5097 data_time: 0.0338 memory: 18108 grad_norm: 3.3803 loss: 4.1961 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5083 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.6877 2023/02/01 19:48:14 - mmengine - INFO - Epoch(train) [129][ 460/1879] lr: 6.1745e-02 eta: 1 day, 9:57:13 time: 0.5295 data_time: 0.0336 memory: 18108 grad_norm: 3.4401 loss: 4.1142 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4003 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.7139 2023/02/01 19:48:24 - mmengine - INFO - Epoch(train) [129][ 480/1879] lr: 6.1738e-02 eta: 1 day, 9:57:04 time: 0.5433 data_time: 0.0529 memory: 18108 grad_norm: 3.4143 loss: 3.9094 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.2310 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.6784 2023/02/01 19:48:29 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 19:48:35 - mmengine - INFO - Epoch(train) [129][ 500/1879] lr: 6.1730e-02 eta: 1 day, 9:56:54 time: 0.5372 data_time: 0.0330 memory: 18108 grad_norm: 3.4452 loss: 4.1623 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4456 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.7167 2023/02/01 19:48:46 - mmengine - INFO - Epoch(train) [129][ 520/1879] lr: 6.1723e-02 eta: 1 day, 9:56:44 time: 0.5399 data_time: 0.0338 memory: 18108 grad_norm: 3.3687 loss: 4.0148 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3554 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.6594 2023/02/01 19:48:57 - mmengine - INFO - Epoch(train) [129][ 540/1879] lr: 6.1716e-02 eta: 1 day, 9:56:35 time: 0.5279 data_time: 0.0324 memory: 18108 grad_norm: 3.4104 loss: 4.0995 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4891 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.6104 2023/02/01 19:49:08 - mmengine - INFO - Epoch(train) [129][ 560/1879] lr: 6.1708e-02 eta: 1 day, 9:56:25 time: 0.5462 data_time: 0.0312 memory: 18108 grad_norm: 3.3847 loss: 4.0027 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2743 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.7283 2023/02/01 19:49:19 - mmengine - INFO - Epoch(train) [129][ 580/1879] lr: 6.1701e-02 eta: 1 day, 9:56:16 time: 0.5514 data_time: 0.0330 memory: 18108 grad_norm: 3.4169 loss: 4.0447 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3322 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.7126 2023/02/01 19:49:29 - mmengine - INFO - Epoch(train) [129][ 600/1879] lr: 6.1694e-02 eta: 1 day, 9:56:06 time: 0.5222 data_time: 0.0327 memory: 18108 grad_norm: 3.3968 loss: 3.9082 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1738 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.7344 2023/02/01 19:49:40 - mmengine - INFO - Epoch(train) [129][ 620/1879] lr: 6.1686e-02 eta: 1 day, 9:55:56 time: 0.5462 data_time: 0.0388 memory: 18108 grad_norm: 3.3551 loss: 4.0272 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3847 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.6426 2023/02/01 19:49:51 - mmengine - INFO - Epoch(train) [129][ 640/1879] lr: 6.1679e-02 eta: 1 day, 9:55:47 time: 0.5373 data_time: 0.0324 memory: 18108 grad_norm: 3.4522 loss: 4.3283 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6317 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6966 2023/02/01 19:50:02 - mmengine - INFO - Epoch(train) [129][ 660/1879] lr: 6.1672e-02 eta: 1 day, 9:55:37 time: 0.5420 data_time: 0.0323 memory: 18108 grad_norm: 3.4520 loss: 4.2592 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5446 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.7146 2023/02/01 19:50:12 - mmengine - INFO - Epoch(train) [129][ 680/1879] lr: 6.1664e-02 eta: 1 day, 9:55:27 time: 0.5228 data_time: 0.0323 memory: 18108 grad_norm: 3.4604 loss: 3.8945 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2194 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.6750 2023/02/01 19:50:23 - mmengine - INFO - Epoch(train) [129][ 700/1879] lr: 6.1657e-02 eta: 1 day, 9:55:18 time: 0.5393 data_time: 0.0389 memory: 18108 grad_norm: 3.4392 loss: 3.9893 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.3762 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6131 2023/02/01 19:50:33 - mmengine - INFO - Epoch(train) [129][ 720/1879] lr: 6.1650e-02 eta: 1 day, 9:55:08 time: 0.5262 data_time: 0.0323 memory: 18108 grad_norm: 3.4169 loss: 3.8028 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1562 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.6466 2023/02/01 19:50:44 - mmengine - INFO - Epoch(train) [129][ 740/1879] lr: 6.1642e-02 eta: 1 day, 9:54:58 time: 0.5248 data_time: 0.0321 memory: 18108 grad_norm: 3.3826 loss: 4.0075 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.3017 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.7058 2023/02/01 19:50:54 - mmengine - INFO - Epoch(train) [129][ 760/1879] lr: 6.1635e-02 eta: 1 day, 9:54:48 time: 0.5239 data_time: 0.0319 memory: 18108 grad_norm: 3.4434 loss: 3.9018 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2831 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.6187 2023/02/01 19:51:05 - mmengine - INFO - Epoch(train) [129][ 780/1879] lr: 6.1628e-02 eta: 1 day, 9:54:39 time: 0.5404 data_time: 0.0383 memory: 18108 grad_norm: 3.5250 loss: 3.9595 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2658 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.6937 2023/02/01 19:51:15 - mmengine - INFO - Epoch(train) [129][ 800/1879] lr: 6.1621e-02 eta: 1 day, 9:54:28 time: 0.5089 data_time: 0.0319 memory: 18108 grad_norm: 3.4302 loss: 4.1628 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4016 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7613 2023/02/01 19:51:26 - mmengine - INFO - Epoch(train) [129][ 820/1879] lr: 6.1613e-02 eta: 1 day, 9:54:19 time: 0.5290 data_time: 0.0324 memory: 18108 grad_norm: 3.4195 loss: 4.1538 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4129 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.7410 2023/02/01 19:51:37 - mmengine - INFO - Epoch(train) [129][ 840/1879] lr: 6.1606e-02 eta: 1 day, 9:54:09 time: 0.5418 data_time: 0.0324 memory: 18108 grad_norm: 3.4396 loss: 4.3248 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5746 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.7502 2023/02/01 19:51:47 - mmengine - INFO - Epoch(train) [129][ 860/1879] lr: 6.1599e-02 eta: 1 day, 9:53:59 time: 0.5260 data_time: 0.0386 memory: 18108 grad_norm: 3.4627 loss: 4.2870 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.5794 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7076 2023/02/01 19:51:58 - mmengine - INFO - Epoch(train) [129][ 880/1879] lr: 6.1591e-02 eta: 1 day, 9:53:49 time: 0.5160 data_time: 0.0312 memory: 18108 grad_norm: 3.3926 loss: 3.8879 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1814 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.7065 2023/02/01 19:52:08 - mmengine - INFO - Epoch(train) [129][ 900/1879] lr: 6.1584e-02 eta: 1 day, 9:53:39 time: 0.5317 data_time: 0.0313 memory: 18108 grad_norm: 3.4373 loss: 4.0774 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3586 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.7188 2023/02/01 19:52:19 - mmengine - INFO - Epoch(train) [129][ 920/1879] lr: 6.1577e-02 eta: 1 day, 9:53:29 time: 0.5150 data_time: 0.0315 memory: 18108 grad_norm: 3.3947 loss: 4.0201 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3492 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.6710 2023/02/01 19:52:29 - mmengine - INFO - Epoch(train) [129][ 940/1879] lr: 6.1569e-02 eta: 1 day, 9:53:20 time: 0.5247 data_time: 0.0385 memory: 18108 grad_norm: 3.4537 loss: 4.0194 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4506 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.5688 2023/02/01 19:52:40 - mmengine - INFO - Epoch(train) [129][ 960/1879] lr: 6.1562e-02 eta: 1 day, 9:53:10 time: 0.5195 data_time: 0.0337 memory: 18108 grad_norm: 3.4112 loss: 4.1944 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.4082 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7861 2023/02/01 19:52:50 - mmengine - INFO - Epoch(train) [129][ 980/1879] lr: 6.1555e-02 eta: 1 day, 9:53:00 time: 0.5273 data_time: 0.0320 memory: 18108 grad_norm: 3.4638 loss: 4.0209 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3336 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.6873 2023/02/01 19:53:01 - mmengine - INFO - Epoch(train) [129][1000/1879] lr: 6.1547e-02 eta: 1 day, 9:52:50 time: 0.5211 data_time: 0.0322 memory: 18108 grad_norm: 3.4958 loss: 4.3538 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6187 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.7351 2023/02/01 19:53:11 - mmengine - INFO - Epoch(train) [129][1020/1879] lr: 6.1540e-02 eta: 1 day, 9:52:40 time: 0.5171 data_time: 0.0372 memory: 18108 grad_norm: 3.4326 loss: 3.9289 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2476 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.6812 2023/02/01 19:53:21 - mmengine - INFO - Epoch(train) [129][1040/1879] lr: 6.1533e-02 eta: 1 day, 9:52:30 time: 0.5225 data_time: 0.0287 memory: 18108 grad_norm: 3.4337 loss: 4.2464 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.5069 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.7395 2023/02/01 19:53:32 - mmengine - INFO - Epoch(train) [129][1060/1879] lr: 6.1525e-02 eta: 1 day, 9:52:20 time: 0.5291 data_time: 0.0376 memory: 18108 grad_norm: 3.4856 loss: 4.1617 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4920 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.6698 2023/02/01 19:53:42 - mmengine - INFO - Epoch(train) [129][1080/1879] lr: 6.1518e-02 eta: 1 day, 9:52:10 time: 0.5147 data_time: 0.0375 memory: 18108 grad_norm: 3.5020 loss: 4.1021 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4290 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.6732 2023/02/01 19:53:53 - mmengine - INFO - Epoch(train) [129][1100/1879] lr: 6.1511e-02 eta: 1 day, 9:52:00 time: 0.5142 data_time: 0.0363 memory: 18108 grad_norm: 3.5091 loss: 4.2342 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4165 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.8177 2023/02/01 19:54:03 - mmengine - INFO - Epoch(train) [129][1120/1879] lr: 6.1503e-02 eta: 1 day, 9:51:50 time: 0.5179 data_time: 0.0297 memory: 18108 grad_norm: 3.4920 loss: 4.1761 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.4619 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.7142 2023/02/01 19:54:13 - mmengine - INFO - Epoch(train) [129][1140/1879] lr: 6.1496e-02 eta: 1 day, 9:51:40 time: 0.5218 data_time: 0.0469 memory: 18108 grad_norm: 3.4555 loss: 4.2613 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.5184 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7430 2023/02/01 19:54:24 - mmengine - INFO - Epoch(train) [129][1160/1879] lr: 6.1489e-02 eta: 1 day, 9:51:30 time: 0.5152 data_time: 0.0318 memory: 18108 grad_norm: 3.4745 loss: 4.3772 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5921 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 1.7851 2023/02/01 19:54:35 - mmengine - INFO - Epoch(train) [129][1180/1879] lr: 6.1481e-02 eta: 1 day, 9:51:20 time: 0.5353 data_time: 0.0354 memory: 18108 grad_norm: 3.4028 loss: 3.8903 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.2976 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.5927 2023/02/01 19:54:45 - mmengine - INFO - Epoch(train) [129][1200/1879] lr: 6.1474e-02 eta: 1 day, 9:51:10 time: 0.5042 data_time: 0.0277 memory: 18108 grad_norm: 3.4292 loss: 3.7723 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0547 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7176 2023/02/01 19:54:55 - mmengine - INFO - Epoch(train) [129][1220/1879] lr: 6.1467e-02 eta: 1 day, 9:51:00 time: 0.5182 data_time: 0.0355 memory: 18108 grad_norm: 3.4254 loss: 3.9219 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2040 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7179 2023/02/01 19:55:06 - mmengine - INFO - Epoch(train) [129][1240/1879] lr: 6.1459e-02 eta: 1 day, 9:50:50 time: 0.5287 data_time: 0.0294 memory: 18108 grad_norm: 3.3957 loss: 4.2605 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5495 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.7110 2023/02/01 19:55:16 - mmengine - INFO - Epoch(train) [129][1260/1879] lr: 6.1452e-02 eta: 1 day, 9:50:40 time: 0.5172 data_time: 0.0347 memory: 18108 grad_norm: 3.4679 loss: 4.0523 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3116 top1_acc_1: 0.6941 top5_acc_1: 0.8118 loss_cls_1: 1.7407 2023/02/01 19:55:26 - mmengine - INFO - Epoch(train) [129][1280/1879] lr: 6.1445e-02 eta: 1 day, 9:50:30 time: 0.5133 data_time: 0.0346 memory: 18108 grad_norm: 3.4787 loss: 4.1732 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.3787 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.7945 2023/02/01 19:55:37 - mmengine - INFO - Epoch(train) [129][1300/1879] lr: 6.1437e-02 eta: 1 day, 9:50:20 time: 0.5210 data_time: 0.0367 memory: 18108 grad_norm: 3.4893 loss: 4.2144 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4865 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.7279 2023/02/01 19:55:47 - mmengine - INFO - Epoch(train) [129][1320/1879] lr: 6.1430e-02 eta: 1 day, 9:50:10 time: 0.5126 data_time: 0.0291 memory: 18108 grad_norm: 3.4211 loss: 3.8911 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2210 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.6700 2023/02/01 19:55:57 - mmengine - INFO - Epoch(train) [129][1340/1879] lr: 6.1423e-02 eta: 1 day, 9:50:00 time: 0.5066 data_time: 0.0344 memory: 18108 grad_norm: 3.4115 loss: 4.0461 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 2.3110 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.7351 2023/02/01 19:56:07 - mmengine - INFO - Epoch(train) [129][1360/1879] lr: 6.1415e-02 eta: 1 day, 9:49:50 time: 0.5157 data_time: 0.0358 memory: 18108 grad_norm: 3.4228 loss: 4.2740 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5792 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.6948 2023/02/01 19:56:18 - mmengine - INFO - Epoch(train) [129][1380/1879] lr: 6.1408e-02 eta: 1 day, 9:49:39 time: 0.5116 data_time: 0.0352 memory: 18108 grad_norm: 3.3838 loss: 4.0596 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3742 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6854 2023/02/01 19:56:28 - mmengine - INFO - Epoch(train) [129][1400/1879] lr: 6.1401e-02 eta: 1 day, 9:49:29 time: 0.4947 data_time: 0.0292 memory: 18108 grad_norm: 3.4625 loss: 4.0894 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.4746 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.6148 2023/02/01 19:56:38 - mmengine - INFO - Epoch(train) [129][1420/1879] lr: 6.1393e-02 eta: 1 day, 9:49:19 time: 0.5161 data_time: 0.0422 memory: 18108 grad_norm: 3.3997 loss: 4.1570 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5187 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.6383 2023/02/01 19:56:48 - mmengine - INFO - Epoch(train) [129][1440/1879] lr: 6.1386e-02 eta: 1 day, 9:49:09 time: 0.5193 data_time: 0.0318 memory: 18108 grad_norm: 3.4111 loss: 4.0131 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2279 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.7852 2023/02/01 19:56:59 - mmengine - INFO - Epoch(train) [129][1460/1879] lr: 6.1379e-02 eta: 1 day, 9:48:59 time: 0.5147 data_time: 0.0351 memory: 18108 grad_norm: 3.4410 loss: 4.2913 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5897 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7016 2023/02/01 19:57:09 - mmengine - INFO - Epoch(train) [129][1480/1879] lr: 6.1371e-02 eta: 1 day, 9:48:49 time: 0.5016 data_time: 0.0295 memory: 18108 grad_norm: 3.4531 loss: 4.1643 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4730 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.6913 2023/02/01 19:57:13 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 19:57:19 - mmengine - INFO - Epoch(train) [129][1500/1879] lr: 6.1364e-02 eta: 1 day, 9:48:39 time: 0.5374 data_time: 0.0439 memory: 18108 grad_norm: 3.4442 loss: 4.1327 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3856 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.7471 2023/02/01 19:58:06 - mmengine - INFO - Epoch(train) [129][1520/1879] lr: 6.1357e-02 eta: 1 day, 9:49:04 time: 2.3165 data_time: 0.0309 memory: 18108 grad_norm: 3.4192 loss: 3.9759 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2013 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.7746 2023/02/01 19:58:16 - mmengine - INFO - Epoch(train) [129][1540/1879] lr: 6.1349e-02 eta: 1 day, 9:48:54 time: 0.4860 data_time: 0.0349 memory: 18108 grad_norm: 3.4846 loss: 4.2089 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5014 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.7076 2023/02/01 19:58:26 - mmengine - INFO - Epoch(train) [129][1560/1879] lr: 6.1342e-02 eta: 1 day, 9:48:44 time: 0.5207 data_time: 0.0301 memory: 18108 grad_norm: 3.4100 loss: 4.4492 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.7361 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.7131 2023/02/01 19:58:36 - mmengine - INFO - Epoch(train) [129][1580/1879] lr: 6.1335e-02 eta: 1 day, 9:48:33 time: 0.4960 data_time: 0.0353 memory: 18108 grad_norm: 3.3852 loss: 3.8953 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.2509 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.6444 2023/02/01 19:58:46 - mmengine - INFO - Epoch(train) [129][1600/1879] lr: 6.1327e-02 eta: 1 day, 9:48:23 time: 0.5082 data_time: 0.0293 memory: 18108 grad_norm: 3.5104 loss: 4.2068 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4522 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.7546 2023/02/01 19:58:56 - mmengine - INFO - Epoch(train) [129][1620/1879] lr: 6.1320e-02 eta: 1 day, 9:48:13 time: 0.5026 data_time: 0.0336 memory: 18108 grad_norm: 3.4378 loss: 3.9781 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2298 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.7483 2023/02/01 19:59:06 - mmengine - INFO - Epoch(train) [129][1640/1879] lr: 6.1313e-02 eta: 1 day, 9:48:03 time: 0.5059 data_time: 0.0378 memory: 18108 grad_norm: 3.4940 loss: 4.1394 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.3623 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.7772 2023/02/01 19:59:16 - mmengine - INFO - Epoch(train) [129][1660/1879] lr: 6.1305e-02 eta: 1 day, 9:47:52 time: 0.5086 data_time: 0.0373 memory: 18108 grad_norm: 3.4269 loss: 3.9938 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2748 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.7190 2023/02/01 19:59:27 - mmengine - INFO - Epoch(train) [129][1680/1879] lr: 6.1298e-02 eta: 1 day, 9:47:42 time: 0.5095 data_time: 0.0327 memory: 18108 grad_norm: 3.4838 loss: 3.9917 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2971 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.6945 2023/02/01 19:59:37 - mmengine - INFO - Epoch(train) [129][1700/1879] lr: 6.1291e-02 eta: 1 day, 9:47:32 time: 0.5159 data_time: 0.0470 memory: 18108 grad_norm: 3.4371 loss: 3.8968 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.2467 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.6501 2023/02/01 19:59:47 - mmengine - INFO - Epoch(train) [129][1720/1879] lr: 6.1283e-02 eta: 1 day, 9:47:22 time: 0.5167 data_time: 0.0309 memory: 18108 grad_norm: 3.4506 loss: 4.0228 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.3307 top1_acc_1: 0.6824 top5_acc_1: 0.7882 loss_cls_1: 1.6920 2023/02/01 19:59:57 - mmengine - INFO - Epoch(train) [129][1740/1879] lr: 6.1276e-02 eta: 1 day, 9:47:12 time: 0.5048 data_time: 0.0363 memory: 18108 grad_norm: 3.4573 loss: 3.9178 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2335 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.6843 2023/02/01 20:00:08 - mmengine - INFO - Epoch(train) [129][1760/1879] lr: 6.1269e-02 eta: 1 day, 9:47:02 time: 0.5076 data_time: 0.0304 memory: 18108 grad_norm: 3.3922 loss: 4.1155 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.4980 top1_acc_1: 0.4588 top5_acc_1: 0.7882 loss_cls_1: 1.6175 2023/02/01 20:00:18 - mmengine - INFO - Epoch(train) [129][1780/1879] lr: 6.1261e-02 eta: 1 day, 9:46:52 time: 0.5177 data_time: 0.0443 memory: 18108 grad_norm: 3.4701 loss: 4.2196 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4482 top1_acc_1: 0.4941 top5_acc_1: 0.7647 loss_cls_1: 1.7713 2023/02/01 20:00:28 - mmengine - INFO - Epoch(train) [129][1800/1879] lr: 6.1254e-02 eta: 1 day, 9:46:41 time: 0.4888 data_time: 0.0320 memory: 18108 grad_norm: 3.4865 loss: 4.3584 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5889 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.7696 2023/02/01 20:00:38 - mmengine - INFO - Epoch(train) [129][1820/1879] lr: 6.1247e-02 eta: 1 day, 9:46:31 time: 0.5155 data_time: 0.0359 memory: 18108 grad_norm: 3.4205 loss: 4.0404 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3118 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7286 2023/02/01 20:00:48 - mmengine - INFO - Epoch(train) [129][1840/1879] lr: 6.1239e-02 eta: 1 day, 9:46:20 time: 0.4909 data_time: 0.0321 memory: 18108 grad_norm: 3.4304 loss: 4.0141 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3236 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.6905 2023/02/01 20:00:58 - mmengine - INFO - Epoch(train) [129][1860/1879] lr: 6.1232e-02 eta: 1 day, 9:46:10 time: 0.5205 data_time: 0.0416 memory: 18108 grad_norm: 3.3485 loss: 3.7658 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0437 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.7221 2023/02/01 20:01:07 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 20:01:07 - mmengine - INFO - Epoch(train) [129][1879/1879] lr: 6.1225e-02 eta: 1 day, 9:46:00 time: 0.4762 data_time: 0.0278 memory: 18108 grad_norm: 3.5155 loss: 4.1666 top1_acc_0: 0.2857 top5_acc_0: 0.2857 loss_cls_0: 2.4192 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.7474 2023/02/01 20:01:22 - mmengine - INFO - Epoch(train) [130][ 20/1879] lr: 6.1218e-02 eta: 1 day, 9:45:54 time: 0.7166 data_time: 0.2549 memory: 18108 grad_norm: 3.3944 loss: 3.9431 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.3252 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.6179 2023/02/01 20:01:32 - mmengine - INFO - Epoch(train) [130][ 40/1879] lr: 6.1210e-02 eta: 1 day, 9:45:43 time: 0.4746 data_time: 0.0306 memory: 18108 grad_norm: 3.4584 loss: 4.1080 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4507 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.6573 2023/02/01 20:01:42 - mmengine - INFO - Epoch(train) [130][ 60/1879] lr: 6.1203e-02 eta: 1 day, 9:45:33 time: 0.4956 data_time: 0.0375 memory: 18108 grad_norm: 3.4315 loss: 4.0143 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3145 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.6998 2023/02/01 20:01:52 - mmengine - INFO - Epoch(train) [130][ 80/1879] lr: 6.1196e-02 eta: 1 day, 9:45:22 time: 0.5103 data_time: 0.0301 memory: 18108 grad_norm: 3.4610 loss: 4.0928 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4581 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.6346 2023/02/01 20:02:02 - mmengine - INFO - Epoch(train) [130][ 100/1879] lr: 6.1188e-02 eta: 1 day, 9:45:12 time: 0.4828 data_time: 0.0411 memory: 18108 grad_norm: 3.4024 loss: 4.0287 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.3064 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.7223 2023/02/01 20:02:11 - mmengine - INFO - Epoch(train) [130][ 120/1879] lr: 6.1181e-02 eta: 1 day, 9:45:01 time: 0.4754 data_time: 0.0302 memory: 18108 grad_norm: 3.4148 loss: 4.0012 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3988 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.6024 2023/02/01 20:02:21 - mmengine - INFO - Epoch(train) [130][ 140/1879] lr: 6.1174e-02 eta: 1 day, 9:44:50 time: 0.4914 data_time: 0.0434 memory: 18108 grad_norm: 3.4318 loss: 3.9831 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3523 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.6308 2023/02/01 20:02:31 - mmengine - INFO - Epoch(train) [130][ 160/1879] lr: 6.1166e-02 eta: 1 day, 9:44:40 time: 0.5069 data_time: 0.0361 memory: 18108 grad_norm: 3.4594 loss: 4.1585 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.5056 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.6529 2023/02/01 20:02:41 - mmengine - INFO - Epoch(train) [130][ 180/1879] lr: 6.1159e-02 eta: 1 day, 9:44:29 time: 0.4878 data_time: 0.0338 memory: 18108 grad_norm: 3.4890 loss: 4.0849 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.2803 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.8045 2023/02/01 20:02:51 - mmengine - INFO - Epoch(train) [130][ 200/1879] lr: 6.1152e-02 eta: 1 day, 9:44:19 time: 0.4891 data_time: 0.0341 memory: 18108 grad_norm: 3.4414 loss: 4.1583 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3788 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.7795 2023/02/01 20:03:01 - mmengine - INFO - Epoch(train) [130][ 220/1879] lr: 6.1144e-02 eta: 1 day, 9:44:09 time: 0.5111 data_time: 0.0327 memory: 18108 grad_norm: 3.4199 loss: 4.0472 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3562 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.6909 2023/02/01 20:03:11 - mmengine - INFO - Epoch(train) [130][ 240/1879] lr: 6.1137e-02 eta: 1 day, 9:43:58 time: 0.4895 data_time: 0.0356 memory: 18108 grad_norm: 3.4614 loss: 4.2117 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5906 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.6211 2023/02/01 20:03:21 - mmengine - INFO - Epoch(train) [130][ 260/1879] lr: 6.1130e-02 eta: 1 day, 9:43:48 time: 0.4959 data_time: 0.0327 memory: 18108 grad_norm: 3.4863 loss: 3.9895 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3107 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.6788 2023/02/01 20:03:31 - mmengine - INFO - Epoch(train) [130][ 280/1879] lr: 6.1122e-02 eta: 1 day, 9:43:37 time: 0.4850 data_time: 0.0347 memory: 18108 grad_norm: 3.4501 loss: 4.0126 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.3422 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.6703 2023/02/01 20:03:41 - mmengine - INFO - Epoch(train) [130][ 300/1879] lr: 6.1115e-02 eta: 1 day, 9:43:27 time: 0.5163 data_time: 0.0397 memory: 18108 grad_norm: 3.5121 loss: 4.0327 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3015 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7312 2023/02/01 20:03:51 - mmengine - INFO - Epoch(train) [130][ 320/1879] lr: 6.1107e-02 eta: 1 day, 9:43:16 time: 0.4884 data_time: 0.0351 memory: 18108 grad_norm: 3.5078 loss: 3.9697 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3258 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.6439 2023/02/01 20:04:01 - mmengine - INFO - Epoch(train) [130][ 340/1879] lr: 6.1100e-02 eta: 1 day, 9:43:06 time: 0.4978 data_time: 0.0343 memory: 18108 grad_norm: 3.4597 loss: 4.2725 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6003 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.6722 2023/02/01 20:04:11 - mmengine - INFO - Epoch(train) [130][ 360/1879] lr: 6.1093e-02 eta: 1 day, 9:42:56 time: 0.5018 data_time: 0.0404 memory: 18108 grad_norm: 3.4332 loss: 3.9980 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3209 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.6770 2023/02/01 20:04:21 - mmengine - INFO - Epoch(train) [130][ 380/1879] lr: 6.1085e-02 eta: 1 day, 9:42:45 time: 0.5077 data_time: 0.0319 memory: 18108 grad_norm: 3.4330 loss: 3.8875 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.2909 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.5966 2023/02/01 20:04:31 - mmengine - INFO - Epoch(train) [130][ 400/1879] lr: 6.1078e-02 eta: 1 day, 9:42:35 time: 0.4902 data_time: 0.0344 memory: 18108 grad_norm: 3.4758 loss: 4.2716 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4917 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.7799 2023/02/01 20:04:41 - mmengine - INFO - Epoch(train) [130][ 420/1879] lr: 6.1071e-02 eta: 1 day, 9:42:24 time: 0.5004 data_time: 0.0328 memory: 18108 grad_norm: 3.3969 loss: 4.0768 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4026 top1_acc_1: 0.5176 top5_acc_1: 0.8353 loss_cls_1: 1.6742 2023/02/01 20:04:51 - mmengine - INFO - Epoch(train) [130][ 440/1879] lr: 6.1063e-02 eta: 1 day, 9:42:14 time: 0.4934 data_time: 0.0401 memory: 18108 grad_norm: 3.4000 loss: 3.8760 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3174 top1_acc_1: 0.6118 top5_acc_1: 0.8941 loss_cls_1: 1.5587 2023/02/01 20:05:01 - mmengine - INFO - Epoch(train) [130][ 460/1879] lr: 6.1056e-02 eta: 1 day, 9:42:03 time: 0.4979 data_time: 0.0341 memory: 18108 grad_norm: 3.4359 loss: 4.0956 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3475 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.7481 2023/02/01 20:05:11 - mmengine - INFO - Epoch(train) [130][ 480/1879] lr: 6.1049e-02 eta: 1 day, 9:41:53 time: 0.4963 data_time: 0.0332 memory: 18108 grad_norm: 3.4468 loss: 4.1026 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.4392 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.6634 2023/02/01 20:05:21 - mmengine - INFO - Epoch(train) [130][ 500/1879] lr: 6.1041e-02 eta: 1 day, 9:41:43 time: 0.5005 data_time: 0.0408 memory: 18108 grad_norm: 3.5391 loss: 4.0398 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.3923 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6475 2023/02/01 20:05:31 - mmengine - INFO - Epoch(train) [130][ 520/1879] lr: 6.1034e-02 eta: 1 day, 9:41:32 time: 0.5051 data_time: 0.0360 memory: 18108 grad_norm: 3.4753 loss: 4.0484 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.3207 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.7277 2023/02/01 20:05:41 - mmengine - INFO - Epoch(train) [130][ 540/1879] lr: 6.1027e-02 eta: 1 day, 9:41:22 time: 0.5051 data_time: 0.0336 memory: 18108 grad_norm: 3.4138 loss: 4.0913 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.4173 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.6740 2023/02/01 20:05:51 - mmengine - INFO - Epoch(train) [130][ 560/1879] lr: 6.1019e-02 eta: 1 day, 9:41:12 time: 0.4906 data_time: 0.0355 memory: 18108 grad_norm: 3.4289 loss: 3.9584 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.2700 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.6884 2023/02/01 20:06:01 - mmengine - INFO - Epoch(train) [130][ 580/1879] lr: 6.1012e-02 eta: 1 day, 9:41:01 time: 0.4980 data_time: 0.0391 memory: 18108 grad_norm: 3.4970 loss: 4.1173 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4478 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.6695 2023/02/01 20:06:10 - mmengine - INFO - Epoch(train) [130][ 600/1879] lr: 6.1005e-02 eta: 1 day, 9:40:51 time: 0.4926 data_time: 0.0367 memory: 18108 grad_norm: 3.4533 loss: 4.1095 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4045 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7051 2023/02/01 20:06:15 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 20:06:21 - mmengine - INFO - Epoch(train) [130][ 620/1879] lr: 6.0997e-02 eta: 1 day, 9:40:41 time: 0.5181 data_time: 0.0343 memory: 18108 grad_norm: 3.4755 loss: 4.1068 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.3767 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.7301 2023/02/01 20:06:31 - mmengine - INFO - Epoch(train) [130][ 640/1879] lr: 6.0990e-02 eta: 1 day, 9:40:30 time: 0.5016 data_time: 0.0400 memory: 18108 grad_norm: 3.3858 loss: 4.0514 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2647 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.7867 2023/02/01 20:06:41 - mmengine - INFO - Epoch(train) [130][ 660/1879] lr: 6.0983e-02 eta: 1 day, 9:40:20 time: 0.4956 data_time: 0.0337 memory: 18108 grad_norm: 3.4136 loss: 4.1482 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5060 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.6423 2023/02/01 20:06:51 - mmengine - INFO - Epoch(train) [130][ 680/1879] lr: 6.0975e-02 eta: 1 day, 9:40:10 time: 0.5143 data_time: 0.0336 memory: 18108 grad_norm: 3.4572 loss: 3.9265 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3164 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.6100 2023/02/01 20:07:01 - mmengine - INFO - Epoch(train) [130][ 700/1879] lr: 6.0968e-02 eta: 1 day, 9:39:59 time: 0.5071 data_time: 0.0402 memory: 18108 grad_norm: 3.4569 loss: 4.3274 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.6979 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.6295 2023/02/01 20:07:11 - mmengine - INFO - Epoch(train) [130][ 720/1879] lr: 6.0961e-02 eta: 1 day, 9:39:49 time: 0.4959 data_time: 0.0334 memory: 18108 grad_norm: 3.4462 loss: 4.0566 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3900 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.6667 2023/02/01 20:07:21 - mmengine - INFO - Epoch(train) [130][ 740/1879] lr: 6.0953e-02 eta: 1 day, 9:39:39 time: 0.5112 data_time: 0.0326 memory: 18108 grad_norm: 3.4521 loss: 3.8633 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2281 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.6352 2023/02/01 20:07:31 - mmengine - INFO - Epoch(train) [130][ 760/1879] lr: 6.0946e-02 eta: 1 day, 9:39:28 time: 0.4971 data_time: 0.0352 memory: 18108 grad_norm: 3.4926 loss: 3.9307 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2154 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.7152 2023/02/01 20:07:42 - mmengine - INFO - Epoch(train) [130][ 780/1879] lr: 6.0939e-02 eta: 1 day, 9:39:18 time: 0.5131 data_time: 0.0400 memory: 18108 grad_norm: 3.4710 loss: 3.9589 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3541 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.6048 2023/02/01 20:07:52 - mmengine - INFO - Epoch(train) [130][ 800/1879] lr: 6.0931e-02 eta: 1 day, 9:39:08 time: 0.5000 data_time: 0.0332 memory: 18108 grad_norm: 3.5177 loss: 3.9828 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.2227 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.7601 2023/02/01 20:08:02 - mmengine - INFO - Epoch(train) [130][ 820/1879] lr: 6.0924e-02 eta: 1 day, 9:38:58 time: 0.5132 data_time: 0.0320 memory: 18108 grad_norm: 3.4575 loss: 4.1373 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4273 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.7100 2023/02/01 20:08:12 - mmengine - INFO - Epoch(train) [130][ 840/1879] lr: 6.0916e-02 eta: 1 day, 9:38:48 time: 0.5071 data_time: 0.0422 memory: 18108 grad_norm: 3.4665 loss: 4.1056 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3777 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7279 2023/02/01 20:08:22 - mmengine - INFO - Epoch(train) [130][ 860/1879] lr: 6.0909e-02 eta: 1 day, 9:38:37 time: 0.5069 data_time: 0.0343 memory: 18108 grad_norm: 3.4572 loss: 3.9451 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2838 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6613 2023/02/01 20:08:33 - mmengine - INFO - Epoch(train) [130][ 880/1879] lr: 6.0902e-02 eta: 1 day, 9:38:27 time: 0.5144 data_time: 0.0353 memory: 18108 grad_norm: 3.5405 loss: 4.4634 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7225 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7408 2023/02/01 20:08:43 - mmengine - INFO - Epoch(train) [130][ 900/1879] lr: 6.0894e-02 eta: 1 day, 9:38:17 time: 0.5046 data_time: 0.0349 memory: 18108 grad_norm: 3.4747 loss: 4.0414 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3670 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6744 2023/02/01 20:08:53 - mmengine - INFO - Epoch(train) [130][ 920/1879] lr: 6.0887e-02 eta: 1 day, 9:38:07 time: 0.5153 data_time: 0.0399 memory: 18108 grad_norm: 3.4510 loss: 4.1739 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.4163 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.7576 2023/02/01 20:09:03 - mmengine - INFO - Epoch(train) [130][ 940/1879] lr: 6.0880e-02 eta: 1 day, 9:37:57 time: 0.5209 data_time: 0.0350 memory: 18108 grad_norm: 3.4885 loss: 4.0899 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3475 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.7424 2023/02/01 20:09:14 - mmengine - INFO - Epoch(train) [130][ 960/1879] lr: 6.0872e-02 eta: 1 day, 9:37:47 time: 0.5229 data_time: 0.0327 memory: 18108 grad_norm: 3.4638 loss: 4.0261 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1612 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8649 2023/02/01 20:09:24 - mmengine - INFO - Epoch(train) [130][ 980/1879] lr: 6.0865e-02 eta: 1 day, 9:37:37 time: 0.5162 data_time: 0.0409 memory: 18108 grad_norm: 3.4270 loss: 4.0481 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3856 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.6625 2023/02/01 20:09:34 - mmengine - INFO - Epoch(train) [130][1000/1879] lr: 6.0858e-02 eta: 1 day, 9:37:27 time: 0.5028 data_time: 0.0358 memory: 18108 grad_norm: 3.3707 loss: 3.9980 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2918 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.7063 2023/02/01 20:09:45 - mmengine - INFO - Epoch(train) [130][1020/1879] lr: 6.0850e-02 eta: 1 day, 9:37:17 time: 0.5160 data_time: 0.0334 memory: 18108 grad_norm: 3.4013 loss: 4.0857 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2548 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.8309 2023/02/01 20:09:55 - mmengine - INFO - Epoch(train) [130][1040/1879] lr: 6.0843e-02 eta: 1 day, 9:37:06 time: 0.4966 data_time: 0.0345 memory: 18108 grad_norm: 3.4639 loss: 3.8996 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2892 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.6104 2023/02/01 20:10:05 - mmengine - INFO - Epoch(train) [130][1060/1879] lr: 6.0836e-02 eta: 1 day, 9:36:56 time: 0.5188 data_time: 0.0347 memory: 18108 grad_norm: 3.4688 loss: 4.1110 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4631 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.6479 2023/02/01 20:10:15 - mmengine - INFO - Epoch(train) [130][1080/1879] lr: 6.0828e-02 eta: 1 day, 9:36:46 time: 0.4970 data_time: 0.0359 memory: 18108 grad_norm: 3.4385 loss: 4.3311 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.5846 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.7466 2023/02/01 20:10:25 - mmengine - INFO - Epoch(train) [130][1100/1879] lr: 6.0821e-02 eta: 1 day, 9:36:35 time: 0.4967 data_time: 0.0335 memory: 18108 grad_norm: 3.3914 loss: 3.8819 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.2390 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.6429 2023/02/01 20:10:35 - mmengine - INFO - Epoch(train) [130][1120/1879] lr: 6.0814e-02 eta: 1 day, 9:36:25 time: 0.5134 data_time: 0.0428 memory: 18108 grad_norm: 3.4601 loss: 3.9825 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2712 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.7113 2023/02/01 20:10:45 - mmengine - INFO - Epoch(train) [130][1140/1879] lr: 6.0806e-02 eta: 1 day, 9:36:15 time: 0.4971 data_time: 0.0360 memory: 18108 grad_norm: 3.5247 loss: 4.1423 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.4136 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7287 2023/02/01 20:10:55 - mmengine - INFO - Epoch(train) [130][1160/1879] lr: 6.0799e-02 eta: 1 day, 9:36:04 time: 0.5011 data_time: 0.0339 memory: 18108 grad_norm: 3.5253 loss: 4.1455 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5003 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 1.6452 2023/02/01 20:11:06 - mmengine - INFO - Epoch(train) [130][1180/1879] lr: 6.0791e-02 eta: 1 day, 9:35:54 time: 0.5159 data_time: 0.0368 memory: 18108 grad_norm: 3.4419 loss: 4.2885 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5706 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.7180 2023/02/01 20:11:16 - mmengine - INFO - Epoch(train) [130][1200/1879] lr: 6.0784e-02 eta: 1 day, 9:35:44 time: 0.5242 data_time: 0.0377 memory: 18108 grad_norm: 3.5042 loss: 4.1882 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5006 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6875 2023/02/01 20:11:26 - mmengine - INFO - Epoch(train) [130][1220/1879] lr: 6.0777e-02 eta: 1 day, 9:35:34 time: 0.5166 data_time: 0.0335 memory: 18108 grad_norm: 3.4860 loss: 3.8665 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1648 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.7016 2023/02/01 20:11:37 - mmengine - INFO - Epoch(train) [130][1240/1879] lr: 6.0769e-02 eta: 1 day, 9:35:25 time: 0.5259 data_time: 0.0330 memory: 18108 grad_norm: 3.4631 loss: 4.3474 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5928 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.7546 2023/02/01 20:11:48 - mmengine - INFO - Epoch(train) [130][1260/1879] lr: 6.0762e-02 eta: 1 day, 9:35:15 time: 0.5294 data_time: 0.0429 memory: 18108 grad_norm: 3.4117 loss: 4.0083 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3621 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.6462 2023/02/01 20:11:58 - mmengine - INFO - Epoch(train) [130][1280/1879] lr: 6.0755e-02 eta: 1 day, 9:35:05 time: 0.5207 data_time: 0.0322 memory: 18108 grad_norm: 3.4057 loss: 4.1116 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3686 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.7431 2023/02/01 20:12:09 - mmengine - INFO - Epoch(train) [130][1300/1879] lr: 6.0747e-02 eta: 1 day, 9:34:55 time: 0.5326 data_time: 0.0361 memory: 18108 grad_norm: 3.5220 loss: 3.9967 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2982 top1_acc_1: 0.4824 top5_acc_1: 0.7765 loss_cls_1: 1.6986 2023/02/01 20:12:19 - mmengine - INFO - Epoch(train) [130][1320/1879] lr: 6.0740e-02 eta: 1 day, 9:34:45 time: 0.5188 data_time: 0.0326 memory: 18108 grad_norm: 3.4437 loss: 4.2178 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4338 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.7841 2023/02/01 20:12:29 - mmengine - INFO - Epoch(train) [130][1340/1879] lr: 6.0733e-02 eta: 1 day, 9:34:35 time: 0.5205 data_time: 0.0382 memory: 18108 grad_norm: 3.4002 loss: 4.2225 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4763 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.7462 2023/02/01 20:12:40 - mmengine - INFO - Epoch(train) [130][1360/1879] lr: 6.0725e-02 eta: 1 day, 9:34:25 time: 0.5138 data_time: 0.0334 memory: 18108 grad_norm: 3.5408 loss: 3.7706 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1507 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.6199 2023/02/01 20:12:50 - mmengine - INFO - Epoch(train) [130][1380/1879] lr: 6.0718e-02 eta: 1 day, 9:34:15 time: 0.5278 data_time: 0.0326 memory: 18108 grad_norm: 3.4150 loss: 3.9646 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2876 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.6770 2023/02/01 20:13:01 - mmengine - INFO - Epoch(train) [130][1400/1879] lr: 6.0711e-02 eta: 1 day, 9:34:05 time: 0.5224 data_time: 0.0383 memory: 18108 grad_norm: 3.4355 loss: 4.1344 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4205 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7139 2023/02/01 20:13:11 - mmengine - INFO - Epoch(train) [130][1420/1879] lr: 6.0703e-02 eta: 1 day, 9:33:55 time: 0.5129 data_time: 0.0347 memory: 18108 grad_norm: 3.4886 loss: 4.3121 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.6286 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.6835 2023/02/01 20:13:22 - mmengine - INFO - Epoch(train) [130][1440/1879] lr: 6.0696e-02 eta: 1 day, 9:33:45 time: 0.5354 data_time: 0.0322 memory: 18108 grad_norm: 3.5117 loss: 4.1448 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4241 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.7207 2023/02/01 20:13:32 - mmengine - INFO - Epoch(train) [130][1460/1879] lr: 6.0689e-02 eta: 1 day, 9:33:35 time: 0.5156 data_time: 0.0341 memory: 18108 grad_norm: 3.5411 loss: 4.3301 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5234 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.8067 2023/02/01 20:13:43 - mmengine - INFO - Epoch(train) [130][1480/1879] lr: 6.0681e-02 eta: 1 day, 9:33:25 time: 0.5208 data_time: 0.0398 memory: 18108 grad_norm: 3.4707 loss: 4.1989 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4483 top1_acc_1: 0.5882 top5_acc_1: 0.7294 loss_cls_1: 1.7506 2023/02/01 20:13:53 - mmengine - INFO - Epoch(train) [130][1500/1879] lr: 6.0674e-02 eta: 1 day, 9:33:16 time: 0.5287 data_time: 0.0346 memory: 18108 grad_norm: 3.5060 loss: 4.1154 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3703 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.7451 2023/02/01 20:14:04 - mmengine - INFO - Epoch(train) [130][1520/1879] lr: 6.0666e-02 eta: 1 day, 9:33:06 time: 0.5214 data_time: 0.0330 memory: 18108 grad_norm: 3.5178 loss: 4.0206 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3354 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.6851 2023/02/01 20:14:14 - mmengine - INFO - Epoch(train) [130][1540/1879] lr: 6.0659e-02 eta: 1 day, 9:32:56 time: 0.5190 data_time: 0.0395 memory: 18108 grad_norm: 3.4845 loss: 4.0562 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2989 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.7573 2023/02/01 20:14:25 - mmengine - INFO - Epoch(train) [130][1560/1879] lr: 6.0652e-02 eta: 1 day, 9:32:46 time: 0.5430 data_time: 0.0384 memory: 18108 grad_norm: 3.4789 loss: 4.1842 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3693 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8149 2023/02/01 20:14:35 - mmengine - INFO - Epoch(train) [130][1580/1879] lr: 6.0644e-02 eta: 1 day, 9:32:36 time: 0.5311 data_time: 0.0335 memory: 18108 grad_norm: 3.4501 loss: 4.0180 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3655 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.6525 2023/02/01 20:14:46 - mmengine - INFO - Epoch(train) [130][1600/1879] lr: 6.0637e-02 eta: 1 day, 9:32:26 time: 0.5131 data_time: 0.0334 memory: 18108 grad_norm: 3.4915 loss: 4.0910 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3596 top1_acc_1: 0.6588 top5_acc_1: 0.7765 loss_cls_1: 1.7314 2023/02/01 20:14:51 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 20:14:56 - mmengine - INFO - Epoch(train) [130][1620/1879] lr: 6.0630e-02 eta: 1 day, 9:32:16 time: 0.5249 data_time: 0.0391 memory: 18108 grad_norm: 3.4643 loss: 4.2067 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4585 top1_acc_1: 0.6706 top5_acc_1: 0.7765 loss_cls_1: 1.7482 2023/02/01 20:15:07 - mmengine - INFO - Epoch(train) [130][1640/1879] lr: 6.0622e-02 eta: 1 day, 9:32:07 time: 0.5289 data_time: 0.0337 memory: 18108 grad_norm: 3.4039 loss: 3.8319 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1975 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.6344 2023/02/01 20:15:17 - mmengine - INFO - Epoch(train) [130][1660/1879] lr: 6.0615e-02 eta: 1 day, 9:31:56 time: 0.5084 data_time: 0.0334 memory: 18108 grad_norm: 3.4447 loss: 4.2249 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5695 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6554 2023/02/01 20:15:28 - mmengine - INFO - Epoch(train) [130][1680/1879] lr: 6.0608e-02 eta: 1 day, 9:31:47 time: 0.5337 data_time: 0.0466 memory: 18108 grad_norm: 3.4796 loss: 4.0796 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.3478 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7318 2023/02/01 20:15:38 - mmengine - INFO - Epoch(train) [130][1700/1879] lr: 6.0600e-02 eta: 1 day, 9:31:37 time: 0.5253 data_time: 0.0327 memory: 18108 grad_norm: 3.4516 loss: 4.1641 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.4606 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7034 2023/02/01 20:15:49 - mmengine - INFO - Epoch(train) [130][1720/1879] lr: 6.0593e-02 eta: 1 day, 9:31:27 time: 0.5299 data_time: 0.0335 memory: 18108 grad_norm: 3.3640 loss: 4.0198 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3124 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7074 2023/02/01 20:15:59 - mmengine - INFO - Epoch(train) [130][1740/1879] lr: 6.0585e-02 eta: 1 day, 9:31:17 time: 0.5191 data_time: 0.0329 memory: 18108 grad_norm: 3.4475 loss: 3.9421 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1900 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.7520 2023/02/01 20:16:10 - mmengine - INFO - Epoch(train) [130][1760/1879] lr: 6.0578e-02 eta: 1 day, 9:31:07 time: 0.5341 data_time: 0.0355 memory: 18108 grad_norm: 3.4293 loss: 3.9991 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2820 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7170 2023/02/01 20:16:20 - mmengine - INFO - Epoch(train) [130][1780/1879] lr: 6.0571e-02 eta: 1 day, 9:30:57 time: 0.5244 data_time: 0.0332 memory: 18108 grad_norm: 3.4269 loss: 4.1958 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4099 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.7859 2023/02/01 20:16:31 - mmengine - INFO - Epoch(train) [130][1800/1879] lr: 6.0563e-02 eta: 1 day, 9:30:47 time: 0.5155 data_time: 0.0343 memory: 18108 grad_norm: 3.3722 loss: 4.2230 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5606 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.6625 2023/02/01 20:16:41 - mmengine - INFO - Epoch(train) [130][1820/1879] lr: 6.0556e-02 eta: 1 day, 9:30:37 time: 0.5200 data_time: 0.0405 memory: 18108 grad_norm: 3.4455 loss: 3.8952 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.1048 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7905 2023/02/01 20:16:52 - mmengine - INFO - Epoch(train) [130][1840/1879] lr: 6.0549e-02 eta: 1 day, 9:30:27 time: 0.5240 data_time: 0.0348 memory: 18108 grad_norm: 3.4087 loss: 4.0421 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2575 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7846 2023/02/01 20:17:02 - mmengine - INFO - Epoch(train) [130][1860/1879] lr: 6.0541e-02 eta: 1 day, 9:30:17 time: 0.5160 data_time: 0.0341 memory: 18108 grad_norm: 3.5050 loss: 3.9418 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2457 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.6961 2023/02/01 20:17:11 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 20:17:11 - mmengine - INFO - Epoch(train) [130][1879/1879] lr: 6.0534e-02 eta: 1 day, 9:30:07 time: 0.4903 data_time: 0.0302 memory: 18108 grad_norm: 3.6253 loss: 4.3210 top1_acc_0: 0.2857 top5_acc_0: 0.4286 loss_cls_0: 2.5199 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.8011 2023/02/01 20:17:26 - mmengine - INFO - Epoch(train) [131][ 20/1879] lr: 6.0527e-02 eta: 1 day, 9:30:01 time: 0.7037 data_time: 0.2507 memory: 18108 grad_norm: 3.3702 loss: 3.9715 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3463 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.6252 2023/02/01 20:17:36 - mmengine - INFO - Epoch(train) [131][ 40/1879] lr: 6.0520e-02 eta: 1 day, 9:29:50 time: 0.4741 data_time: 0.0357 memory: 18108 grad_norm: 3.4047 loss: 4.0509 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.4331 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.6178 2023/02/01 20:17:45 - mmengine - INFO - Epoch(train) [131][ 60/1879] lr: 6.0512e-02 eta: 1 day, 9:29:39 time: 0.4815 data_time: 0.0354 memory: 18108 grad_norm: 3.4925 loss: 3.9903 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.3359 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.6544 2023/02/01 20:17:56 - mmengine - INFO - Epoch(train) [131][ 80/1879] lr: 6.0505e-02 eta: 1 day, 9:29:29 time: 0.5082 data_time: 0.0411 memory: 18108 grad_norm: 3.4488 loss: 4.3771 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6355 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7417 2023/02/01 20:18:05 - mmengine - INFO - Epoch(train) [131][ 100/1879] lr: 6.0498e-02 eta: 1 day, 9:29:18 time: 0.4810 data_time: 0.0372 memory: 18108 grad_norm: 3.3903 loss: 3.9376 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3105 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.6272 2023/02/01 20:18:15 - mmengine - INFO - Epoch(train) [131][ 120/1879] lr: 6.0490e-02 eta: 1 day, 9:29:07 time: 0.4689 data_time: 0.0340 memory: 18108 grad_norm: 3.3540 loss: 4.2380 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5381 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.6999 2023/02/01 20:18:24 - mmengine - INFO - Epoch(train) [131][ 140/1879] lr: 6.0483e-02 eta: 1 day, 9:28:57 time: 0.4968 data_time: 0.0435 memory: 18108 grad_norm: 3.4488 loss: 4.1803 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4934 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.6869 2023/02/01 20:18:34 - mmengine - INFO - Epoch(train) [131][ 160/1879] lr: 6.0475e-02 eta: 1 day, 9:28:46 time: 0.4944 data_time: 0.0317 memory: 18108 grad_norm: 3.4326 loss: 4.0257 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.4040 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.6216 2023/02/01 20:18:44 - mmengine - INFO - Epoch(train) [131][ 180/1879] lr: 6.0468e-02 eta: 1 day, 9:28:36 time: 0.4799 data_time: 0.0364 memory: 18108 grad_norm: 3.4622 loss: 3.9509 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2382 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.7127 2023/02/01 20:18:53 - mmengine - INFO - Epoch(train) [131][ 200/1879] lr: 6.0461e-02 eta: 1 day, 9:28:25 time: 0.4716 data_time: 0.0344 memory: 18108 grad_norm: 3.4463 loss: 3.8395 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.2049 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.6347 2023/02/01 20:19:04 - mmengine - INFO - Epoch(train) [131][ 220/1879] lr: 6.0453e-02 eta: 1 day, 9:28:15 time: 0.5154 data_time: 0.0411 memory: 18108 grad_norm: 3.4895 loss: 4.1800 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5031 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.6770 2023/02/01 20:19:13 - mmengine - INFO - Epoch(train) [131][ 240/1879] lr: 6.0446e-02 eta: 1 day, 9:28:04 time: 0.4818 data_time: 0.0316 memory: 18108 grad_norm: 3.4702 loss: 3.8824 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2943 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.5881 2023/02/01 20:19:23 - mmengine - INFO - Epoch(train) [131][ 260/1879] lr: 6.0439e-02 eta: 1 day, 9:27:53 time: 0.4845 data_time: 0.0349 memory: 18108 grad_norm: 3.4761 loss: 3.8008 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.2266 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.5742 2023/02/01 20:19:33 - mmengine - INFO - Epoch(train) [131][ 280/1879] lr: 6.0431e-02 eta: 1 day, 9:27:43 time: 0.4819 data_time: 0.0426 memory: 18108 grad_norm: 3.5014 loss: 3.9389 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2867 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.6522 2023/02/01 20:19:43 - mmengine - INFO - Epoch(train) [131][ 300/1879] lr: 6.0424e-02 eta: 1 day, 9:27:32 time: 0.5079 data_time: 0.0365 memory: 18108 grad_norm: 3.4650 loss: 3.8017 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.1838 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6179 2023/02/01 20:19:52 - mmengine - INFO - Epoch(train) [131][ 320/1879] lr: 6.0417e-02 eta: 1 day, 9:27:21 time: 0.4734 data_time: 0.0347 memory: 18108 grad_norm: 3.4582 loss: 3.9831 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2937 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.6894 2023/02/01 20:20:02 - mmengine - INFO - Epoch(train) [131][ 340/1879] lr: 6.0409e-02 eta: 1 day, 9:27:11 time: 0.4961 data_time: 0.0438 memory: 18108 grad_norm: 3.4794 loss: 4.1297 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4700 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.6597 2023/02/01 20:20:12 - mmengine - INFO - Epoch(train) [131][ 360/1879] lr: 6.0402e-02 eta: 1 day, 9:27:00 time: 0.4869 data_time: 0.0310 memory: 18108 grad_norm: 3.4448 loss: 4.1422 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4592 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.6830 2023/02/01 20:20:22 - mmengine - INFO - Epoch(train) [131][ 380/1879] lr: 6.0394e-02 eta: 1 day, 9:26:50 time: 0.4993 data_time: 0.0364 memory: 18108 grad_norm: 3.4922 loss: 3.9807 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2514 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.7293 2023/02/01 20:20:32 - mmengine - INFO - Epoch(train) [131][ 400/1879] lr: 6.0387e-02 eta: 1 day, 9:26:39 time: 0.4710 data_time: 0.0329 memory: 18108 grad_norm: 3.4716 loss: 4.1827 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.5168 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6658 2023/02/01 20:20:41 - mmengine - INFO - Epoch(train) [131][ 420/1879] lr: 6.0380e-02 eta: 1 day, 9:26:29 time: 0.4916 data_time: 0.0436 memory: 18108 grad_norm: 3.4467 loss: 4.0153 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.3962 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.6191 2023/02/01 20:20:51 - mmengine - INFO - Epoch(train) [131][ 440/1879] lr: 6.0372e-02 eta: 1 day, 9:26:18 time: 0.4891 data_time: 0.0331 memory: 18108 grad_norm: 3.4945 loss: 4.1279 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4105 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.7174 2023/02/01 20:21:01 - mmengine - INFO - Epoch(train) [131][ 460/1879] lr: 6.0365e-02 eta: 1 day, 9:26:07 time: 0.4911 data_time: 0.0375 memory: 18108 grad_norm: 3.5619 loss: 4.0373 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3759 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.6613 2023/02/01 20:21:11 - mmengine - INFO - Epoch(train) [131][ 480/1879] lr: 6.0358e-02 eta: 1 day, 9:25:57 time: 0.4958 data_time: 0.0413 memory: 18108 grad_norm: 3.4672 loss: 4.2995 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.5918 top1_acc_1: 0.7059 top5_acc_1: 0.7882 loss_cls_1: 1.7077 2023/02/01 20:21:21 - mmengine - INFO - Epoch(train) [131][ 500/1879] lr: 6.0350e-02 eta: 1 day, 9:25:47 time: 0.5138 data_time: 0.0381 memory: 18108 grad_norm: 3.3827 loss: 4.0077 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3856 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6221 2023/02/01 20:21:31 - mmengine - INFO - Epoch(train) [131][ 520/1879] lr: 6.0343e-02 eta: 1 day, 9:25:36 time: 0.4939 data_time: 0.0318 memory: 18108 grad_norm: 3.4593 loss: 4.0865 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3904 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.6961 2023/02/01 20:21:41 - mmengine - INFO - Epoch(train) [131][ 540/1879] lr: 6.0335e-02 eta: 1 day, 9:25:26 time: 0.5073 data_time: 0.0450 memory: 18108 grad_norm: 3.4764 loss: 3.7419 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1873 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.5546 2023/02/01 20:21:51 - mmengine - INFO - Epoch(train) [131][ 560/1879] lr: 6.0328e-02 eta: 1 day, 9:25:16 time: 0.4861 data_time: 0.0329 memory: 18108 grad_norm: 3.4785 loss: 4.0751 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.4130 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.6621 2023/02/01 20:22:01 - mmengine - INFO - Epoch(train) [131][ 580/1879] lr: 6.0321e-02 eta: 1 day, 9:25:06 time: 0.5188 data_time: 0.0382 memory: 18108 grad_norm: 3.4997 loss: 3.9649 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2808 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.6841 2023/02/01 20:22:11 - mmengine - INFO - Epoch(train) [131][ 600/1879] lr: 6.0313e-02 eta: 1 day, 9:24:55 time: 0.4993 data_time: 0.0320 memory: 18108 grad_norm: 3.4437 loss: 4.0422 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3076 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.7346 2023/02/01 20:22:22 - mmengine - INFO - Epoch(train) [131][ 620/1879] lr: 6.0306e-02 eta: 1 day, 9:24:45 time: 0.5233 data_time: 0.0459 memory: 18108 grad_norm: 3.5441 loss: 4.2245 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4949 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.7297 2023/02/01 20:22:33 - mmengine - INFO - Epoch(train) [131][ 640/1879] lr: 6.0299e-02 eta: 1 day, 9:24:36 time: 0.5373 data_time: 0.0314 memory: 18108 grad_norm: 3.4104 loss: 4.1734 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3939 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.7795 2023/02/01 20:22:43 - mmengine - INFO - Epoch(train) [131][ 660/1879] lr: 6.0291e-02 eta: 1 day, 9:24:26 time: 0.5204 data_time: 0.0349 memory: 18108 grad_norm: 3.3867 loss: 4.0701 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3608 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.7094 2023/02/01 20:22:54 - mmengine - INFO - Epoch(train) [131][ 680/1879] lr: 6.0284e-02 eta: 1 day, 9:24:16 time: 0.5303 data_time: 0.0335 memory: 18108 grad_norm: 3.5612 loss: 3.9318 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2802 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.6516 2023/02/01 20:23:05 - mmengine - INFO - Epoch(train) [131][ 700/1879] lr: 6.0277e-02 eta: 1 day, 9:24:06 time: 0.5515 data_time: 0.0419 memory: 18108 grad_norm: 3.4519 loss: 4.1965 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4971 top1_acc_1: 0.4353 top5_acc_1: 0.7412 loss_cls_1: 1.6994 2023/02/01 20:23:15 - mmengine - INFO - Epoch(train) [131][ 720/1879] lr: 6.0269e-02 eta: 1 day, 9:23:56 time: 0.5149 data_time: 0.0323 memory: 18108 grad_norm: 3.4687 loss: 4.0757 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3718 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7039 2023/02/01 20:23:20 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 20:23:26 - mmengine - INFO - Epoch(train) [131][ 740/1879] lr: 6.0262e-02 eta: 1 day, 9:23:47 time: 0.5295 data_time: 0.0347 memory: 18108 grad_norm: 3.4400 loss: 4.2919 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.6022 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.6898 2023/02/01 20:23:36 - mmengine - INFO - Epoch(train) [131][ 760/1879] lr: 6.0254e-02 eta: 1 day, 9:23:37 time: 0.5247 data_time: 0.0402 memory: 18108 grad_norm: 3.5172 loss: 4.2481 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6246 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.6234 2023/02/01 20:23:47 - mmengine - INFO - Epoch(train) [131][ 780/1879] lr: 6.0247e-02 eta: 1 day, 9:23:27 time: 0.5393 data_time: 0.0362 memory: 18108 grad_norm: 3.4243 loss: 3.8679 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1816 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.6864 2023/02/01 20:23:58 - mmengine - INFO - Epoch(train) [131][ 800/1879] lr: 6.0240e-02 eta: 1 day, 9:23:17 time: 0.5229 data_time: 0.0325 memory: 18108 grad_norm: 3.5062 loss: 3.8281 top1_acc_0: 0.4375 top5_acc_0: 1.0000 loss_cls_0: 2.0885 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.7396 2023/02/01 20:24:08 - mmengine - INFO - Epoch(train) [131][ 820/1879] lr: 6.0232e-02 eta: 1 day, 9:23:07 time: 0.5323 data_time: 0.0356 memory: 18108 grad_norm: 3.4118 loss: 3.9536 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2726 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.6810 2023/02/01 20:24:19 - mmengine - INFO - Epoch(train) [131][ 840/1879] lr: 6.0225e-02 eta: 1 day, 9:22:58 time: 0.5457 data_time: 0.0441 memory: 18108 grad_norm: 3.4870 loss: 4.0652 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2857 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.7795 2023/02/01 20:24:30 - mmengine - INFO - Epoch(train) [131][ 860/1879] lr: 6.0218e-02 eta: 1 day, 9:22:48 time: 0.5252 data_time: 0.0310 memory: 18108 grad_norm: 3.4649 loss: 4.0580 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3470 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7110 2023/02/01 20:24:40 - mmengine - INFO - Epoch(train) [131][ 880/1879] lr: 6.0210e-02 eta: 1 day, 9:22:38 time: 0.5374 data_time: 0.0348 memory: 18108 grad_norm: 3.4853 loss: 4.2324 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5792 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.6532 2023/02/01 20:24:51 - mmengine - INFO - Epoch(train) [131][ 900/1879] lr: 6.0203e-02 eta: 1 day, 9:22:29 time: 0.5417 data_time: 0.0381 memory: 18108 grad_norm: 3.4962 loss: 4.1252 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3956 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.7296 2023/02/01 20:25:02 - mmengine - INFO - Epoch(train) [131][ 920/1879] lr: 6.0195e-02 eta: 1 day, 9:22:19 time: 0.5203 data_time: 0.0349 memory: 18108 grad_norm: 3.4151 loss: 3.9390 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3376 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.6014 2023/02/01 20:25:12 - mmengine - INFO - Epoch(train) [131][ 940/1879] lr: 6.0188e-02 eta: 1 day, 9:22:09 time: 0.5091 data_time: 0.0299 memory: 18108 grad_norm: 3.4192 loss: 3.9510 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2398 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.7112 2023/02/01 20:25:23 - mmengine - INFO - Epoch(train) [131][ 960/1879] lr: 6.0181e-02 eta: 1 day, 9:21:59 time: 0.5443 data_time: 0.0416 memory: 18108 grad_norm: 3.4623 loss: 4.1580 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.4350 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.7230 2023/02/01 20:25:33 - mmengine - INFO - Epoch(train) [131][ 980/1879] lr: 6.0173e-02 eta: 1 day, 9:21:49 time: 0.5114 data_time: 0.0308 memory: 18108 grad_norm: 3.4569 loss: 4.1747 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5003 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.6744 2023/02/01 20:25:44 - mmengine - INFO - Epoch(train) [131][1000/1879] lr: 6.0166e-02 eta: 1 day, 9:21:39 time: 0.5273 data_time: 0.0356 memory: 18108 grad_norm: 3.5202 loss: 3.9246 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1934 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.7312 2023/02/01 20:25:54 - mmengine - INFO - Epoch(train) [131][1020/1879] lr: 6.0159e-02 eta: 1 day, 9:21:30 time: 0.5428 data_time: 0.0294 memory: 18108 grad_norm: 3.5167 loss: 4.0555 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3531 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.7025 2023/02/01 20:26:05 - mmengine - INFO - Epoch(train) [131][1040/1879] lr: 6.0151e-02 eta: 1 day, 9:21:20 time: 0.5296 data_time: 0.0414 memory: 18108 grad_norm: 3.5102 loss: 4.2734 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.5160 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.7574 2023/02/01 20:26:16 - mmengine - INFO - Epoch(train) [131][1060/1879] lr: 6.0144e-02 eta: 1 day, 9:21:10 time: 0.5269 data_time: 0.0305 memory: 18108 grad_norm: 3.5122 loss: 4.0139 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3235 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.6905 2023/02/01 20:26:26 - mmengine - INFO - Epoch(train) [131][1080/1879] lr: 6.0136e-02 eta: 1 day, 9:21:00 time: 0.5294 data_time: 0.0349 memory: 18108 grad_norm: 3.5590 loss: 4.0718 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3956 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.6762 2023/02/01 20:26:37 - mmengine - INFO - Epoch(train) [131][1100/1879] lr: 6.0129e-02 eta: 1 day, 9:20:50 time: 0.5305 data_time: 0.0383 memory: 18108 grad_norm: 3.4751 loss: 3.8939 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.1586 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.7353 2023/02/01 20:26:47 - mmengine - INFO - Epoch(train) [131][1120/1879] lr: 6.0122e-02 eta: 1 day, 9:20:41 time: 0.5297 data_time: 0.0369 memory: 18108 grad_norm: 3.5230 loss: 4.4168 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7236 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.6932 2023/02/01 20:26:58 - mmengine - INFO - Epoch(train) [131][1140/1879] lr: 6.0114e-02 eta: 1 day, 9:20:31 time: 0.5303 data_time: 0.0290 memory: 18108 grad_norm: 3.4458 loss: 4.0539 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3850 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.6690 2023/02/01 20:27:09 - mmengine - INFO - Epoch(train) [131][1160/1879] lr: 6.0107e-02 eta: 1 day, 9:20:21 time: 0.5215 data_time: 0.0315 memory: 18108 grad_norm: 3.4295 loss: 3.9012 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.1923 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.7089 2023/02/01 20:27:19 - mmengine - INFO - Epoch(train) [131][1180/1879] lr: 6.0100e-02 eta: 1 day, 9:20:11 time: 0.5176 data_time: 0.0418 memory: 18108 grad_norm: 3.4654 loss: 3.9199 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3416 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.5783 2023/02/01 20:27:29 - mmengine - INFO - Epoch(train) [131][1200/1879] lr: 6.0092e-02 eta: 1 day, 9:20:01 time: 0.5170 data_time: 0.0314 memory: 18108 grad_norm: 3.5229 loss: 4.0741 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4087 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.6654 2023/02/01 20:27:40 - mmengine - INFO - Epoch(train) [131][1220/1879] lr: 6.0085e-02 eta: 1 day, 9:19:51 time: 0.5359 data_time: 0.0363 memory: 18108 grad_norm: 3.4013 loss: 4.0024 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2587 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7437 2023/02/01 20:27:50 - mmengine - INFO - Epoch(train) [131][1240/1879] lr: 6.0077e-02 eta: 1 day, 9:19:41 time: 0.5158 data_time: 0.0374 memory: 18108 grad_norm: 3.4863 loss: 4.0516 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.3684 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.6832 2023/02/01 20:28:01 - mmengine - INFO - Epoch(train) [131][1260/1879] lr: 6.0070e-02 eta: 1 day, 9:19:31 time: 0.5249 data_time: 0.0364 memory: 18108 grad_norm: 3.4410 loss: 4.1989 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4092 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.7897 2023/02/01 20:28:11 - mmengine - INFO - Epoch(train) [131][1280/1879] lr: 6.0063e-02 eta: 1 day, 9:19:21 time: 0.5278 data_time: 0.0315 memory: 18108 grad_norm: 3.4478 loss: 4.3244 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.6300 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.6944 2023/02/01 20:28:22 - mmengine - INFO - Epoch(train) [131][1300/1879] lr: 6.0055e-02 eta: 1 day, 9:19:11 time: 0.5284 data_time: 0.0364 memory: 18108 grad_norm: 3.5454 loss: 4.0132 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2823 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.7309 2023/02/01 20:28:32 - mmengine - INFO - Epoch(train) [131][1320/1879] lr: 6.0048e-02 eta: 1 day, 9:19:01 time: 0.5088 data_time: 0.0312 memory: 18108 grad_norm: 3.4739 loss: 4.1272 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4973 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.6299 2023/02/01 20:28:43 - mmengine - INFO - Epoch(train) [131][1340/1879] lr: 6.0041e-02 eta: 1 day, 9:18:51 time: 0.5288 data_time: 0.0353 memory: 18108 grad_norm: 3.3978 loss: 4.1957 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4307 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.7649 2023/02/01 20:28:53 - mmengine - INFO - Epoch(train) [131][1360/1879] lr: 6.0033e-02 eta: 1 day, 9:18:41 time: 0.5058 data_time: 0.0310 memory: 18108 grad_norm: 3.3806 loss: 4.1878 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4695 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.7183 2023/02/01 20:29:03 - mmengine - INFO - Epoch(train) [131][1380/1879] lr: 6.0026e-02 eta: 1 day, 9:18:31 time: 0.5254 data_time: 0.0405 memory: 18108 grad_norm: 3.4540 loss: 4.3076 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5636 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.7440 2023/02/01 20:29:14 - mmengine - INFO - Epoch(train) [131][1400/1879] lr: 6.0018e-02 eta: 1 day, 9:18:21 time: 0.5206 data_time: 0.0329 memory: 18108 grad_norm: 3.4471 loss: 3.9481 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3269 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.6212 2023/02/01 20:29:24 - mmengine - INFO - Epoch(train) [131][1420/1879] lr: 6.0011e-02 eta: 1 day, 9:18:11 time: 0.5168 data_time: 0.0374 memory: 18108 grad_norm: 3.4024 loss: 4.0701 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3880 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.6821 2023/02/01 20:29:34 - mmengine - INFO - Epoch(train) [131][1440/1879] lr: 6.0004e-02 eta: 1 day, 9:18:01 time: 0.5047 data_time: 0.0317 memory: 18108 grad_norm: 3.4683 loss: 4.0489 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.3626 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.6863 2023/02/01 20:29:45 - mmengine - INFO - Epoch(train) [131][1460/1879] lr: 5.9996e-02 eta: 1 day, 9:17:51 time: 0.5297 data_time: 0.0428 memory: 18108 grad_norm: 3.4637 loss: 3.9266 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.2754 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.6512 2023/02/01 20:29:55 - mmengine - INFO - Epoch(train) [131][1480/1879] lr: 5.9989e-02 eta: 1 day, 9:17:41 time: 0.4984 data_time: 0.0315 memory: 18108 grad_norm: 3.4797 loss: 4.2690 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.5099 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.7591 2023/02/01 20:30:05 - mmengine - INFO - Epoch(train) [131][1500/1879] lr: 5.9982e-02 eta: 1 day, 9:17:31 time: 0.5132 data_time: 0.0362 memory: 18108 grad_norm: 3.5248 loss: 4.2556 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5068 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.7488 2023/02/01 20:30:15 - mmengine - INFO - Epoch(train) [131][1520/1879] lr: 5.9974e-02 eta: 1 day, 9:17:20 time: 0.5087 data_time: 0.0324 memory: 18108 grad_norm: 3.5029 loss: 4.2791 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.6067 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.6724 2023/02/01 20:30:26 - mmengine - INFO - Epoch(train) [131][1540/1879] lr: 5.9967e-02 eta: 1 day, 9:17:10 time: 0.5157 data_time: 0.0363 memory: 18108 grad_norm: 3.4470 loss: 4.1958 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.4728 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.7230 2023/02/01 20:30:36 - mmengine - INFO - Epoch(train) [131][1560/1879] lr: 5.9959e-02 eta: 1 day, 9:17:00 time: 0.5161 data_time: 0.0333 memory: 18108 grad_norm: 3.5358 loss: 3.9794 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2266 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.7528 2023/02/01 20:30:46 - mmengine - INFO - Epoch(train) [131][1580/1879] lr: 5.9952e-02 eta: 1 day, 9:16:50 time: 0.5214 data_time: 0.0363 memory: 18108 grad_norm: 3.4722 loss: 3.9827 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2663 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.7164 2023/02/01 20:30:57 - mmengine - INFO - Epoch(train) [131][1600/1879] lr: 5.9945e-02 eta: 1 day, 9:16:40 time: 0.5113 data_time: 0.0395 memory: 18108 grad_norm: 3.5253 loss: 4.1070 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4504 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6565 2023/02/01 20:31:07 - mmengine - INFO - Epoch(train) [131][1620/1879] lr: 5.9937e-02 eta: 1 day, 9:16:30 time: 0.5203 data_time: 0.0369 memory: 18108 grad_norm: 3.5067 loss: 4.0581 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3574 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.7007 2023/02/01 20:31:17 - mmengine - INFO - Epoch(train) [131][1640/1879] lr: 5.9930e-02 eta: 1 day, 9:16:20 time: 0.5117 data_time: 0.0311 memory: 18108 grad_norm: 3.4145 loss: 4.1966 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5240 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.6727 2023/02/01 20:31:28 - mmengine - INFO - Epoch(train) [131][1660/1879] lr: 5.9922e-02 eta: 1 day, 9:16:10 time: 0.5408 data_time: 0.0462 memory: 18108 grad_norm: 3.4619 loss: 4.1460 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4885 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.6575 2023/02/01 20:31:39 - mmengine - INFO - Epoch(train) [131][1680/1879] lr: 5.9915e-02 eta: 1 day, 9:16:00 time: 0.5156 data_time: 0.0320 memory: 18108 grad_norm: 3.4172 loss: 4.2205 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.4813 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.7392 2023/02/01 20:31:49 - mmengine - INFO - Epoch(train) [131][1700/1879] lr: 5.9908e-02 eta: 1 day, 9:15:51 time: 0.5295 data_time: 0.0349 memory: 18108 grad_norm: 3.4856 loss: 4.2295 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.6038 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.6257 2023/02/01 20:32:00 - mmengine - INFO - Epoch(train) [131][1720/1879] lr: 5.9900e-02 eta: 1 day, 9:15:41 time: 0.5281 data_time: 0.0318 memory: 18108 grad_norm: 3.5109 loss: 4.3745 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.6005 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7741 2023/02/01 20:32:05 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 20:32:11 - mmengine - INFO - Epoch(train) [131][1740/1879] lr: 5.9893e-02 eta: 1 day, 9:15:31 time: 0.5383 data_time: 0.0454 memory: 18108 grad_norm: 3.4549 loss: 4.0004 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3121 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.6883 2023/02/01 20:32:21 - mmengine - INFO - Epoch(train) [131][1760/1879] lr: 5.9886e-02 eta: 1 day, 9:15:21 time: 0.5276 data_time: 0.0323 memory: 18108 grad_norm: 3.5017 loss: 4.0443 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2872 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.7571 2023/02/01 20:32:32 - mmengine - INFO - Epoch(train) [131][1780/1879] lr: 5.9878e-02 eta: 1 day, 9:15:12 time: 0.5372 data_time: 0.0354 memory: 18108 grad_norm: 3.4944 loss: 3.8664 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1896 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.6768 2023/02/01 20:32:42 - mmengine - INFO - Epoch(train) [131][1800/1879] lr: 5.9871e-02 eta: 1 day, 9:15:02 time: 0.5176 data_time: 0.0327 memory: 18108 grad_norm: 3.4670 loss: 4.0480 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.4064 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.6416 2023/02/01 20:32:53 - mmengine - INFO - Epoch(train) [131][1820/1879] lr: 5.9863e-02 eta: 1 day, 9:14:52 time: 0.5397 data_time: 0.0433 memory: 18108 grad_norm: 3.4497 loss: 4.0248 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3421 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.6827 2023/02/01 20:33:04 - mmengine - INFO - Epoch(train) [131][1840/1879] lr: 5.9856e-02 eta: 1 day, 9:14:42 time: 0.5240 data_time: 0.0317 memory: 18108 grad_norm: 3.3786 loss: 4.2327 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5398 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.6929 2023/02/01 20:33:14 - mmengine - INFO - Epoch(train) [131][1860/1879] lr: 5.9849e-02 eta: 1 day, 9:14:32 time: 0.5348 data_time: 0.0332 memory: 18108 grad_norm: 3.4732 loss: 4.2585 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5020 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.7565 2023/02/01 20:33:24 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 20:33:24 - mmengine - INFO - Epoch(train) [131][1879/1879] lr: 5.9842e-02 eta: 1 day, 9:14:23 time: 0.5082 data_time: 0.0347 memory: 18108 grad_norm: 3.5331 loss: 3.8407 top1_acc_0: 0.8571 top5_acc_0: 1.0000 loss_cls_0: 2.1434 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6973 2023/02/01 20:33:39 - mmengine - INFO - Epoch(train) [132][ 20/1879] lr: 5.9834e-02 eta: 1 day, 9:14:16 time: 0.7093 data_time: 0.2485 memory: 18108 grad_norm: 3.4791 loss: 3.9440 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2169 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.7271 2023/02/01 20:33:48 - mmengine - INFO - Epoch(train) [132][ 40/1879] lr: 5.9827e-02 eta: 1 day, 9:14:05 time: 0.4823 data_time: 0.0350 memory: 18108 grad_norm: 3.5503 loss: 3.9538 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3335 top1_acc_1: 0.6588 top5_acc_1: 0.7882 loss_cls_1: 1.6203 2023/02/01 20:33:58 - mmengine - INFO - Epoch(train) [132][ 60/1879] lr: 5.9819e-02 eta: 1 day, 9:13:55 time: 0.5009 data_time: 0.0343 memory: 18108 grad_norm: 3.4371 loss: 3.9448 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2709 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.6739 2023/02/01 20:34:09 - mmengine - INFO - Epoch(train) [132][ 80/1879] lr: 5.9812e-02 eta: 1 day, 9:13:45 time: 0.5136 data_time: 0.0447 memory: 18108 grad_norm: 3.4136 loss: 3.7690 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.0327 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7363 2023/02/01 20:34:19 - mmengine - INFO - Epoch(train) [132][ 100/1879] lr: 5.9805e-02 eta: 1 day, 9:13:34 time: 0.4889 data_time: 0.0349 memory: 18108 grad_norm: 3.4681 loss: 3.9925 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3301 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.6624 2023/02/01 20:34:28 - mmengine - INFO - Epoch(train) [132][ 120/1879] lr: 5.9797e-02 eta: 1 day, 9:13:24 time: 0.4750 data_time: 0.0321 memory: 18108 grad_norm: 3.4655 loss: 3.9629 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3229 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.6400 2023/02/01 20:34:38 - mmengine - INFO - Epoch(train) [132][ 140/1879] lr: 5.9790e-02 eta: 1 day, 9:13:13 time: 0.5041 data_time: 0.0429 memory: 18108 grad_norm: 3.5086 loss: 4.0410 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3893 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.6517 2023/02/01 20:34:48 - mmengine - INFO - Epoch(train) [132][ 160/1879] lr: 5.9783e-02 eta: 1 day, 9:13:03 time: 0.4906 data_time: 0.0315 memory: 18108 grad_norm: 3.5141 loss: 3.9311 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2422 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.6889 2023/02/01 20:34:58 - mmengine - INFO - Epoch(train) [132][ 180/1879] lr: 5.9775e-02 eta: 1 day, 9:12:52 time: 0.4819 data_time: 0.0357 memory: 18108 grad_norm: 3.4464 loss: 3.7952 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.0996 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6956 2023/02/01 20:35:07 - mmengine - INFO - Epoch(train) [132][ 200/1879] lr: 5.9768e-02 eta: 1 day, 9:12:41 time: 0.4907 data_time: 0.0329 memory: 18108 grad_norm: 3.4798 loss: 4.1459 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4275 top1_acc_1: 0.6588 top5_acc_1: 0.7765 loss_cls_1: 1.7184 2023/02/01 20:35:18 - mmengine - INFO - Epoch(train) [132][ 220/1879] lr: 5.9760e-02 eta: 1 day, 9:12:31 time: 0.5033 data_time: 0.0346 memory: 18108 grad_norm: 3.4828 loss: 4.1213 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.4993 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6219 2023/02/01 20:35:27 - mmengine - INFO - Epoch(train) [132][ 240/1879] lr: 5.9753e-02 eta: 1 day, 9:12:21 time: 0.4903 data_time: 0.0327 memory: 18108 grad_norm: 3.4946 loss: 4.2347 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.5606 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.6741 2023/02/01 20:35:37 - mmengine - INFO - Epoch(train) [132][ 260/1879] lr: 5.9746e-02 eta: 1 day, 9:12:10 time: 0.4944 data_time: 0.0365 memory: 18108 grad_norm: 3.4783 loss: 3.9015 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.2854 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.6161 2023/02/01 20:35:47 - mmengine - INFO - Epoch(train) [132][ 280/1879] lr: 5.9738e-02 eta: 1 day, 9:12:00 time: 0.4897 data_time: 0.0339 memory: 18108 grad_norm: 3.4583 loss: 3.9322 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3336 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.5986 2023/02/01 20:35:57 - mmengine - INFO - Epoch(train) [132][ 300/1879] lr: 5.9731e-02 eta: 1 day, 9:11:49 time: 0.5042 data_time: 0.0363 memory: 18108 grad_norm: 3.3726 loss: 4.0128 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.3995 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6132 2023/02/01 20:36:07 - mmengine - INFO - Epoch(train) [132][ 320/1879] lr: 5.9723e-02 eta: 1 day, 9:11:39 time: 0.4868 data_time: 0.0341 memory: 18108 grad_norm: 3.4447 loss: 3.9668 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.3312 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.6356 2023/02/01 20:36:17 - mmengine - INFO - Epoch(train) [132][ 340/1879] lr: 5.9716e-02 eta: 1 day, 9:11:28 time: 0.5099 data_time: 0.0431 memory: 18108 grad_norm: 3.4890 loss: 4.1913 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.4875 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.7039 2023/02/01 20:36:27 - mmengine - INFO - Epoch(train) [132][ 360/1879] lr: 5.9709e-02 eta: 1 day, 9:11:18 time: 0.4848 data_time: 0.0347 memory: 18108 grad_norm: 3.4583 loss: 4.1714 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4230 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.7484 2023/02/01 20:36:37 - mmengine - INFO - Epoch(train) [132][ 380/1879] lr: 5.9701e-02 eta: 1 day, 9:11:08 time: 0.5115 data_time: 0.0357 memory: 18108 grad_norm: 3.5011 loss: 4.1249 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.4740 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.6509 2023/02/01 20:36:47 - mmengine - INFO - Epoch(train) [132][ 400/1879] lr: 5.9694e-02 eta: 1 day, 9:10:57 time: 0.4878 data_time: 0.0333 memory: 18108 grad_norm: 3.4930 loss: 4.0637 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3815 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.6821 2023/02/01 20:36:57 - mmengine - INFO - Epoch(train) [132][ 420/1879] lr: 5.9687e-02 eta: 1 day, 9:10:47 time: 0.5020 data_time: 0.0422 memory: 18108 grad_norm: 3.4482 loss: 3.7449 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0719 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.6729 2023/02/01 20:37:07 - mmengine - INFO - Epoch(train) [132][ 440/1879] lr: 5.9679e-02 eta: 1 day, 9:10:36 time: 0.4817 data_time: 0.0341 memory: 18108 grad_norm: 3.4431 loss: 3.6411 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.0546 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.5865 2023/02/01 20:37:17 - mmengine - INFO - Epoch(train) [132][ 460/1879] lr: 5.9672e-02 eta: 1 day, 9:10:26 time: 0.5170 data_time: 0.0345 memory: 18108 grad_norm: 3.4640 loss: 4.1026 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3962 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7064 2023/02/01 20:37:27 - mmengine - INFO - Epoch(train) [132][ 480/1879] lr: 5.9664e-02 eta: 1 day, 9:10:15 time: 0.4905 data_time: 0.0392 memory: 18108 grad_norm: 3.5085 loss: 3.8469 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2708 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.5761 2023/02/01 20:37:37 - mmengine - INFO - Epoch(train) [132][ 500/1879] lr: 5.9657e-02 eta: 1 day, 9:10:05 time: 0.4984 data_time: 0.0337 memory: 18108 grad_norm: 3.5048 loss: 4.0946 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.4177 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.6770 2023/02/01 20:37:47 - mmengine - INFO - Epoch(train) [132][ 520/1879] lr: 5.9650e-02 eta: 1 day, 9:09:55 time: 0.5058 data_time: 0.0331 memory: 18108 grad_norm: 3.4116 loss: 3.9577 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1950 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7627 2023/02/01 20:37:57 - mmengine - INFO - Epoch(train) [132][ 540/1879] lr: 5.9642e-02 eta: 1 day, 9:09:45 time: 0.5092 data_time: 0.0397 memory: 18108 grad_norm: 3.5049 loss: 4.0720 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3656 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.7064 2023/02/01 20:38:07 - mmengine - INFO - Epoch(train) [132][ 560/1879] lr: 5.9635e-02 eta: 1 day, 9:09:34 time: 0.4823 data_time: 0.0332 memory: 18108 grad_norm: 3.3896 loss: 3.9891 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.3639 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.6252 2023/02/01 20:38:17 - mmengine - INFO - Epoch(train) [132][ 580/1879] lr: 5.9627e-02 eta: 1 day, 9:09:23 time: 0.4996 data_time: 0.0385 memory: 18108 grad_norm: 3.4647 loss: 4.1272 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.5819 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.5453 2023/02/01 20:38:27 - mmengine - INFO - Epoch(train) [132][ 600/1879] lr: 5.9620e-02 eta: 1 day, 9:09:13 time: 0.4995 data_time: 0.0288 memory: 18108 grad_norm: 3.4064 loss: 4.0313 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.3121 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.7192 2023/02/01 20:38:37 - mmengine - INFO - Epoch(train) [132][ 620/1879] lr: 5.9613e-02 eta: 1 day, 9:09:03 time: 0.5168 data_time: 0.0449 memory: 18108 grad_norm: 3.3596 loss: 3.9264 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.2699 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.6565 2023/02/01 20:38:47 - mmengine - INFO - Epoch(train) [132][ 640/1879] lr: 5.9605e-02 eta: 1 day, 9:08:52 time: 0.4860 data_time: 0.0296 memory: 18108 grad_norm: 3.4566 loss: 4.0026 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2408 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7618 2023/02/01 20:38:57 - mmengine - INFO - Epoch(train) [132][ 660/1879] lr: 5.9598e-02 eta: 1 day, 9:08:42 time: 0.5061 data_time: 0.0370 memory: 18108 grad_norm: 3.5089 loss: 4.2752 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5487 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.7265 2023/02/01 20:39:07 - mmengine - INFO - Epoch(train) [132][ 680/1879] lr: 5.9590e-02 eta: 1 day, 9:08:32 time: 0.5013 data_time: 0.0383 memory: 18108 grad_norm: 3.5385 loss: 3.9107 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3359 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.5748 2023/02/01 20:39:17 - mmengine - INFO - Epoch(train) [132][ 700/1879] lr: 5.9583e-02 eta: 1 day, 9:08:21 time: 0.4990 data_time: 0.0370 memory: 18108 grad_norm: 3.5087 loss: 4.1727 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4283 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.7444 2023/02/01 20:39:27 - mmengine - INFO - Epoch(train) [132][ 720/1879] lr: 5.9576e-02 eta: 1 day, 9:08:11 time: 0.4885 data_time: 0.0312 memory: 18108 grad_norm: 3.5189 loss: 4.3586 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6165 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7421 2023/02/01 20:39:37 - mmengine - INFO - Epoch(train) [132][ 740/1879] lr: 5.9568e-02 eta: 1 day, 9:08:01 time: 0.5179 data_time: 0.0377 memory: 18108 grad_norm: 3.4953 loss: 4.0003 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3307 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.6696 2023/02/01 20:39:47 - mmengine - INFO - Epoch(train) [132][ 760/1879] lr: 5.9561e-02 eta: 1 day, 9:07:50 time: 0.4841 data_time: 0.0289 memory: 18108 grad_norm: 3.5678 loss: 4.1536 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3780 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.7756 2023/02/01 20:39:57 - mmengine - INFO - Epoch(train) [132][ 780/1879] lr: 5.9553e-02 eta: 1 day, 9:07:40 time: 0.4974 data_time: 0.0360 memory: 18108 grad_norm: 3.5220 loss: 4.2101 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4806 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7295 2023/02/01 20:40:07 - mmengine - INFO - Epoch(train) [132][ 800/1879] lr: 5.9546e-02 eta: 1 day, 9:07:29 time: 0.4931 data_time: 0.0374 memory: 18108 grad_norm: 3.4513 loss: 4.0647 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4200 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.6446 2023/02/01 20:40:17 - mmengine - INFO - Epoch(train) [132][ 820/1879] lr: 5.9539e-02 eta: 1 day, 9:07:19 time: 0.4958 data_time: 0.0395 memory: 18108 grad_norm: 3.4579 loss: 4.0418 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3557 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.6861 2023/02/01 20:40:26 - mmengine - INFO - Epoch(train) [132][ 840/1879] lr: 5.9531e-02 eta: 1 day, 9:07:08 time: 0.4840 data_time: 0.0310 memory: 18108 grad_norm: 3.5303 loss: 3.9671 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1858 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.7813 2023/02/01 20:40:32 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 20:40:36 - mmengine - INFO - Epoch(train) [132][ 860/1879] lr: 5.9524e-02 eta: 1 day, 9:06:58 time: 0.4991 data_time: 0.0379 memory: 18108 grad_norm: 3.4705 loss: 4.1906 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.4585 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.7321 2023/02/01 20:40:46 - mmengine - INFO - Epoch(train) [132][ 880/1879] lr: 5.9517e-02 eta: 1 day, 9:06:47 time: 0.4959 data_time: 0.0361 memory: 18108 grad_norm: 3.4489 loss: 3.9533 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3216 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.6317 2023/02/01 20:40:56 - mmengine - INFO - Epoch(train) [132][ 900/1879] lr: 5.9509e-02 eta: 1 day, 9:06:37 time: 0.4930 data_time: 0.0388 memory: 18108 grad_norm: 3.5571 loss: 4.1807 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4299 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7509 2023/02/01 20:41:06 - mmengine - INFO - Epoch(train) [132][ 920/1879] lr: 5.9502e-02 eta: 1 day, 9:06:26 time: 0.4894 data_time: 0.0298 memory: 18108 grad_norm: 3.5519 loss: 4.0209 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4067 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.6142 2023/02/01 20:41:16 - mmengine - INFO - Epoch(train) [132][ 940/1879] lr: 5.9494e-02 eta: 1 day, 9:06:16 time: 0.5149 data_time: 0.0370 memory: 18108 grad_norm: 3.4936 loss: 4.2149 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4658 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.7491 2023/02/01 20:41:26 - mmengine - INFO - Epoch(train) [132][ 960/1879] lr: 5.9487e-02 eta: 1 day, 9:06:05 time: 0.4750 data_time: 0.0300 memory: 18108 grad_norm: 3.5008 loss: 3.8470 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2031 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.6439 2023/02/01 20:41:36 - mmengine - INFO - Epoch(train) [132][ 980/1879] lr: 5.9480e-02 eta: 1 day, 9:05:55 time: 0.5018 data_time: 0.0368 memory: 18108 grad_norm: 3.5391 loss: 4.2020 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.4064 top1_acc_1: 0.6353 top5_acc_1: 0.7647 loss_cls_1: 1.7957 2023/02/01 20:41:46 - mmengine - INFO - Epoch(train) [132][1000/1879] lr: 5.9472e-02 eta: 1 day, 9:05:44 time: 0.4893 data_time: 0.0341 memory: 18108 grad_norm: 3.4280 loss: 4.2462 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5286 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.7175 2023/02/01 20:41:56 - mmengine - INFO - Epoch(train) [132][1020/1879] lr: 5.9465e-02 eta: 1 day, 9:05:34 time: 0.5056 data_time: 0.0410 memory: 18108 grad_norm: 3.4786 loss: 4.0466 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3783 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.6682 2023/02/01 20:42:06 - mmengine - INFO - Epoch(train) [132][1040/1879] lr: 5.9457e-02 eta: 1 day, 9:05:24 time: 0.4933 data_time: 0.0306 memory: 18108 grad_norm: 3.5312 loss: 4.0880 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4081 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.6800 2023/02/01 20:42:16 - mmengine - INFO - Epoch(train) [132][1060/1879] lr: 5.9450e-02 eta: 1 day, 9:05:13 time: 0.5025 data_time: 0.0444 memory: 18108 grad_norm: 3.4317 loss: 4.0635 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3447 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.7188 2023/02/01 20:42:26 - mmengine - INFO - Epoch(train) [132][1080/1879] lr: 5.9443e-02 eta: 1 day, 9:05:03 time: 0.4948 data_time: 0.0292 memory: 18108 grad_norm: 3.3938 loss: 4.0775 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.3969 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.6806 2023/02/01 20:42:36 - mmengine - INFO - Epoch(train) [132][1100/1879] lr: 5.9435e-02 eta: 1 day, 9:04:52 time: 0.4973 data_time: 0.0379 memory: 18108 grad_norm: 3.4635 loss: 3.9305 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2995 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.6311 2023/02/01 20:42:45 - mmengine - INFO - Epoch(train) [132][1120/1879] lr: 5.9428e-02 eta: 1 day, 9:04:42 time: 0.4894 data_time: 0.0290 memory: 18108 grad_norm: 3.4225 loss: 3.8267 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1909 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.6359 2023/02/01 20:42:56 - mmengine - INFO - Epoch(train) [132][1140/1879] lr: 5.9420e-02 eta: 1 day, 9:04:32 time: 0.5050 data_time: 0.0444 memory: 18108 grad_norm: 3.4954 loss: 4.2469 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5224 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.7245 2023/02/01 20:43:05 - mmengine - INFO - Epoch(train) [132][1160/1879] lr: 5.9413e-02 eta: 1 day, 9:04:21 time: 0.4891 data_time: 0.0297 memory: 18108 grad_norm: 3.4755 loss: 4.2102 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4330 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.7772 2023/02/01 20:43:16 - mmengine - INFO - Epoch(train) [132][1180/1879] lr: 5.9406e-02 eta: 1 day, 9:04:11 time: 0.5224 data_time: 0.0380 memory: 18108 grad_norm: 3.5513 loss: 4.1241 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4833 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.6407 2023/02/01 20:43:26 - mmengine - INFO - Epoch(train) [132][1200/1879] lr: 5.9398e-02 eta: 1 day, 9:04:01 time: 0.5015 data_time: 0.0365 memory: 18108 grad_norm: 3.4220 loss: 3.9243 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3733 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.5511 2023/02/01 20:43:36 - mmengine - INFO - Epoch(train) [132][1220/1879] lr: 5.9391e-02 eta: 1 day, 9:03:51 time: 0.5220 data_time: 0.0365 memory: 18108 grad_norm: 3.4979 loss: 4.0692 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3861 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6831 2023/02/01 20:43:46 - mmengine - INFO - Epoch(train) [132][1240/1879] lr: 5.9383e-02 eta: 1 day, 9:03:40 time: 0.5026 data_time: 0.0285 memory: 18108 grad_norm: 3.5552 loss: 4.2594 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5449 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.7145 2023/02/01 20:43:57 - mmengine - INFO - Epoch(train) [132][1260/1879] lr: 5.9376e-02 eta: 1 day, 9:03:30 time: 0.5084 data_time: 0.0368 memory: 18108 grad_norm: 3.5155 loss: 3.9761 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2481 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.7280 2023/02/01 20:44:07 - mmengine - INFO - Epoch(train) [132][1280/1879] lr: 5.9369e-02 eta: 1 day, 9:03:20 time: 0.5142 data_time: 0.0363 memory: 18108 grad_norm: 3.5282 loss: 4.1487 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4407 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7081 2023/02/01 20:44:17 - mmengine - INFO - Epoch(train) [132][1300/1879] lr: 5.9361e-02 eta: 1 day, 9:03:10 time: 0.5144 data_time: 0.0381 memory: 18108 grad_norm: 3.4789 loss: 4.0577 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.3474 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.7103 2023/02/01 20:44:27 - mmengine - INFO - Epoch(train) [132][1320/1879] lr: 5.9354e-02 eta: 1 day, 9:03:00 time: 0.5001 data_time: 0.0290 memory: 18108 grad_norm: 3.4164 loss: 4.1903 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.4557 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.7346 2023/02/01 20:44:37 - mmengine - INFO - Epoch(train) [132][1340/1879] lr: 5.9346e-02 eta: 1 day, 9:02:50 time: 0.5113 data_time: 0.0419 memory: 18108 grad_norm: 3.5075 loss: 4.0008 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2876 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.7133 2023/02/01 20:44:48 - mmengine - INFO - Epoch(train) [132][1360/1879] lr: 5.9339e-02 eta: 1 day, 9:02:39 time: 0.5152 data_time: 0.0310 memory: 18108 grad_norm: 3.4728 loss: 4.0283 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2763 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.7520 2023/02/01 20:44:58 - mmengine - INFO - Epoch(train) [132][1380/1879] lr: 5.9332e-02 eta: 1 day, 9:02:29 time: 0.5125 data_time: 0.0378 memory: 18108 grad_norm: 3.4726 loss: 4.1406 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4640 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.6766 2023/02/01 20:45:08 - mmengine - INFO - Epoch(train) [132][1400/1879] lr: 5.9324e-02 eta: 1 day, 9:02:19 time: 0.5113 data_time: 0.0361 memory: 18108 grad_norm: 3.4728 loss: 4.0171 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3276 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.6895 2023/02/01 20:45:19 - mmengine - INFO - Epoch(train) [132][1420/1879] lr: 5.9317e-02 eta: 1 day, 9:02:09 time: 0.5261 data_time: 0.0351 memory: 18108 grad_norm: 3.4861 loss: 4.1713 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4677 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.7037 2023/02/01 20:45:29 - mmengine - INFO - Epoch(train) [132][1440/1879] lr: 5.9309e-02 eta: 1 day, 9:01:59 time: 0.5190 data_time: 0.0277 memory: 18108 grad_norm: 3.4946 loss: 4.1544 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3206 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.8339 2023/02/01 20:45:40 - mmengine - INFO - Epoch(train) [132][1460/1879] lr: 5.9302e-02 eta: 1 day, 9:01:49 time: 0.5197 data_time: 0.0372 memory: 18108 grad_norm: 3.5046 loss: 4.0637 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4014 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.6623 2023/02/01 20:45:50 - mmengine - INFO - Epoch(train) [132][1480/1879] lr: 5.9295e-02 eta: 1 day, 9:01:39 time: 0.5252 data_time: 0.0310 memory: 18108 grad_norm: 3.5078 loss: 4.1337 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3959 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.7378 2023/02/01 20:46:01 - mmengine - INFO - Epoch(train) [132][1500/1879] lr: 5.9287e-02 eta: 1 day, 9:01:30 time: 0.5352 data_time: 0.0370 memory: 18108 grad_norm: 3.4524 loss: 4.1843 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4674 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.7169 2023/02/01 20:46:11 - mmengine - INFO - Epoch(train) [132][1520/1879] lr: 5.9280e-02 eta: 1 day, 9:01:20 time: 0.5146 data_time: 0.0295 memory: 18108 grad_norm: 3.4916 loss: 3.9398 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2663 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.6735 2023/02/01 20:46:22 - mmengine - INFO - Epoch(train) [132][1540/1879] lr: 5.9272e-02 eta: 1 day, 9:01:10 time: 0.5285 data_time: 0.0414 memory: 18108 grad_norm: 3.5220 loss: 4.4892 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7964 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.6928 2023/02/01 20:46:32 - mmengine - INFO - Epoch(train) [132][1560/1879] lr: 5.9265e-02 eta: 1 day, 9:01:00 time: 0.5169 data_time: 0.0295 memory: 18108 grad_norm: 3.5046 loss: 4.3797 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6792 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.7005 2023/02/01 20:46:43 - mmengine - INFO - Epoch(train) [132][1580/1879] lr: 5.9258e-02 eta: 1 day, 9:00:50 time: 0.5317 data_time: 0.0375 memory: 18108 grad_norm: 3.4987 loss: 4.2476 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.5451 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7024 2023/02/01 20:46:53 - mmengine - INFO - Epoch(train) [132][1600/1879] lr: 5.9250e-02 eta: 1 day, 9:00:40 time: 0.5194 data_time: 0.0373 memory: 18108 grad_norm: 3.5010 loss: 4.1752 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5503 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.6249 2023/02/01 20:47:04 - mmengine - INFO - Epoch(train) [132][1620/1879] lr: 5.9243e-02 eta: 1 day, 9:00:30 time: 0.5365 data_time: 0.0385 memory: 18108 grad_norm: 3.7492 loss: 3.9786 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2824 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.6962 2023/02/01 20:47:14 - mmengine - INFO - Epoch(train) [132][1640/1879] lr: 5.9235e-02 eta: 1 day, 9:00:21 time: 0.5305 data_time: 0.0300 memory: 18108 grad_norm: 3.4885 loss: 4.1711 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4835 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.6875 2023/02/01 20:47:25 - mmengine - INFO - Epoch(train) [132][1660/1879] lr: 5.9228e-02 eta: 1 day, 9:00:11 time: 0.5256 data_time: 0.0445 memory: 18108 grad_norm: 3.4086 loss: 4.1568 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4866 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.6702 2023/02/01 20:47:35 - mmengine - INFO - Epoch(train) [132][1680/1879] lr: 5.9221e-02 eta: 1 day, 9:00:00 time: 0.5041 data_time: 0.0313 memory: 18108 grad_norm: 3.4264 loss: 4.1186 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3832 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.7353 2023/02/01 20:47:46 - mmengine - INFO - Epoch(train) [132][1700/1879] lr: 5.9213e-02 eta: 1 day, 8:59:51 time: 0.5446 data_time: 0.0367 memory: 18108 grad_norm: 3.4525 loss: 4.0555 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2942 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.7613 2023/02/01 20:47:56 - mmengine - INFO - Epoch(train) [132][1720/1879] lr: 5.9206e-02 eta: 1 day, 8:59:41 time: 0.5206 data_time: 0.0293 memory: 18108 grad_norm: 3.4767 loss: 4.0273 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3944 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.6328 2023/02/01 20:48:07 - mmengine - INFO - Epoch(train) [132][1740/1879] lr: 5.9198e-02 eta: 1 day, 8:59:31 time: 0.5105 data_time: 0.0440 memory: 18108 grad_norm: 3.4960 loss: 4.0766 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3149 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.7617 2023/02/01 20:48:17 - mmengine - INFO - Epoch(train) [132][1760/1879] lr: 5.9191e-02 eta: 1 day, 8:59:21 time: 0.5141 data_time: 0.0293 memory: 18108 grad_norm: 3.4641 loss: 4.1777 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.4395 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7382 2023/02/01 20:48:27 - mmengine - INFO - Epoch(train) [132][1780/1879] lr: 5.9184e-02 eta: 1 day, 8:59:11 time: 0.5183 data_time: 0.0374 memory: 18108 grad_norm: 3.4457 loss: 4.2520 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4306 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.8214 2023/02/01 20:48:38 - mmengine - INFO - Epoch(train) [132][1800/1879] lr: 5.9176e-02 eta: 1 day, 8:59:00 time: 0.5179 data_time: 0.0362 memory: 18108 grad_norm: 3.4714 loss: 4.1204 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3830 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.7374 2023/02/01 20:48:48 - mmengine - INFO - Epoch(train) [132][1820/1879] lr: 5.9169e-02 eta: 1 day, 8:58:51 time: 0.5200 data_time: 0.0372 memory: 18108 grad_norm: 3.4839 loss: 4.1361 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3802 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.7559 2023/02/01 20:48:58 - mmengine - INFO - Epoch(train) [132][1840/1879] lr: 5.9161e-02 eta: 1 day, 8:58:40 time: 0.5132 data_time: 0.0319 memory: 18108 grad_norm: 3.3839 loss: 3.9841 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3435 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.6406 2023/02/01 20:49:04 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 20:49:09 - mmengine - INFO - Epoch(train) [132][1860/1879] lr: 5.9154e-02 eta: 1 day, 8:58:30 time: 0.5131 data_time: 0.0386 memory: 18108 grad_norm: 3.4305 loss: 4.1485 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3765 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.7720 2023/02/01 20:49:18 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 20:49:18 - mmengine - INFO - Epoch(train) [132][1879/1879] lr: 5.9147e-02 eta: 1 day, 8:58:20 time: 0.4870 data_time: 0.0296 memory: 18108 grad_norm: 3.5560 loss: 4.0920 top1_acc_0: 0.2857 top5_acc_0: 0.4286 loss_cls_0: 2.4044 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.6876 2023/02/01 20:49:18 - mmengine - INFO - Saving checkpoint at 132 epochs 2023/02/01 20:49:29 - mmengine - INFO - Epoch(val) [132][ 20/155] eta: 0:01:01 time: 0.4580 data_time: 0.3458 memory: 1906 2023/02/01 20:49:38 - mmengine - INFO - Epoch(val) [132][ 40/155] eta: 0:00:52 time: 0.4487 data_time: 0.3368 memory: 1906 2023/02/01 20:49:46 - mmengine - INFO - Epoch(val) [132][ 60/155] eta: 0:00:42 time: 0.4214 data_time: 0.3105 memory: 1906 2023/02/01 20:49:56 - mmengine - INFO - Epoch(val) [132][ 80/155] eta: 0:00:33 time: 0.4627 data_time: 0.3504 memory: 1906 2023/02/01 20:50:05 - mmengine - INFO - Epoch(val) [132][100/155] eta: 0:00:24 time: 0.4454 data_time: 0.3354 memory: 1906 2023/02/01 20:50:14 - mmengine - INFO - Epoch(val) [132][120/155] eta: 0:00:15 time: 0.4630 data_time: 0.3524 memory: 1906 2023/02/01 20:50:23 - mmengine - INFO - Epoch(val) [132][140/155] eta: 0:00:06 time: 0.4341 data_time: 0.3238 memory: 1906 2023/02/01 20:50:30 - mmengine - INFO - Epoch(val) [132][155/155] acc/top1: 0.5045 acc/top5: 0.7543 acc/mean1: 0.5044 2023/02/01 20:50:30 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_124.pth is removed 2023/02/01 20:50:32 - mmengine - INFO - The best checkpoint with 0.5045 acc/top1 at 132 epoch is saved to best_acc/top1_epoch_132.pth. 2023/02/01 20:52:24 - mmengine - INFO - Epoch(train) [133][ 20/1879] lr: 5.9140e-02 eta: 1 day, 8:59:46 time: 5.6068 data_time: 5.1433 memory: 18108 grad_norm: 3.4650 loss: 3.9915 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.2390 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.7525 2023/02/01 20:52:34 - mmengine - INFO - Epoch(train) [133][ 40/1879] lr: 5.9132e-02 eta: 1 day, 8:59:35 time: 0.4771 data_time: 0.0334 memory: 18108 grad_norm: 3.4697 loss: 3.8897 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2552 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.6345 2023/02/01 20:52:44 - mmengine - INFO - Epoch(train) [133][ 60/1879] lr: 5.9125e-02 eta: 1 day, 8:59:24 time: 0.5012 data_time: 0.0369 memory: 18108 grad_norm: 3.5016 loss: 3.9494 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1559 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.7936 2023/02/01 20:52:54 - mmengine - INFO - Epoch(train) [133][ 80/1879] lr: 5.9117e-02 eta: 1 day, 8:59:14 time: 0.5149 data_time: 0.0473 memory: 18108 grad_norm: 3.4715 loss: 3.8112 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1440 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.6673 2023/02/01 20:53:04 - mmengine - INFO - Epoch(train) [133][ 100/1879] lr: 5.9110e-02 eta: 1 day, 8:59:04 time: 0.4945 data_time: 0.0374 memory: 18108 grad_norm: 3.4644 loss: 4.1434 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4903 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6531 2023/02/01 20:53:14 - mmengine - INFO - Epoch(train) [133][ 120/1879] lr: 5.9103e-02 eta: 1 day, 8:58:53 time: 0.4749 data_time: 0.0335 memory: 18108 grad_norm: 3.5057 loss: 4.0245 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.3750 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.6495 2023/02/01 20:53:24 - mmengine - INFO - Epoch(train) [133][ 140/1879] lr: 5.9095e-02 eta: 1 day, 8:58:43 time: 0.5237 data_time: 0.0472 memory: 18108 grad_norm: 3.4941 loss: 3.7374 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1139 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.6235 2023/02/01 20:53:34 - mmengine - INFO - Epoch(train) [133][ 160/1879] lr: 5.9088e-02 eta: 1 day, 8:58:32 time: 0.4781 data_time: 0.0336 memory: 18108 grad_norm: 3.4324 loss: 4.1288 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4710 top1_acc_1: 0.6824 top5_acc_1: 0.8000 loss_cls_1: 1.6578 2023/02/01 20:53:43 - mmengine - INFO - Epoch(train) [133][ 180/1879] lr: 5.9080e-02 eta: 1 day, 8:58:22 time: 0.4911 data_time: 0.0357 memory: 18108 grad_norm: 3.4360 loss: 3.9873 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3357 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.6516 2023/02/01 20:53:53 - mmengine - INFO - Epoch(train) [133][ 200/1879] lr: 5.9073e-02 eta: 1 day, 8:58:11 time: 0.4807 data_time: 0.0315 memory: 18108 grad_norm: 3.5337 loss: 4.0760 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3917 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.6843 2023/02/01 20:54:03 - mmengine - INFO - Epoch(train) [133][ 220/1879] lr: 5.9065e-02 eta: 1 day, 8:58:01 time: 0.5158 data_time: 0.0448 memory: 18108 grad_norm: 3.4865 loss: 4.1872 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.4441 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.7432 2023/02/01 20:54:13 - mmengine - INFO - Epoch(train) [133][ 240/1879] lr: 5.9058e-02 eta: 1 day, 8:57:50 time: 0.4798 data_time: 0.0329 memory: 18108 grad_norm: 3.4351 loss: 3.9791 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3002 top1_acc_1: 0.6824 top5_acc_1: 0.8118 loss_cls_1: 1.6790 2023/02/01 20:54:23 - mmengine - INFO - Epoch(train) [133][ 260/1879] lr: 5.9051e-02 eta: 1 day, 8:57:40 time: 0.4990 data_time: 0.0412 memory: 18108 grad_norm: 3.4820 loss: 4.1252 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4279 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6973 2023/02/01 20:54:33 - mmengine - INFO - Epoch(train) [133][ 280/1879] lr: 5.9043e-02 eta: 1 day, 8:57:29 time: 0.5043 data_time: 0.0382 memory: 18108 grad_norm: 3.4652 loss: 4.0412 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3090 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.7321 2023/02/01 20:54:43 - mmengine - INFO - Epoch(train) [133][ 300/1879] lr: 5.9036e-02 eta: 1 day, 8:57:19 time: 0.4942 data_time: 0.0391 memory: 18108 grad_norm: 3.5055 loss: 4.0142 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.3692 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.6450 2023/02/01 20:54:53 - mmengine - INFO - Epoch(train) [133][ 320/1879] lr: 5.9028e-02 eta: 1 day, 8:57:08 time: 0.4732 data_time: 0.0336 memory: 18108 grad_norm: 3.4926 loss: 3.4905 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9377 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.5527 2023/02/01 20:55:03 - mmengine - INFO - Epoch(train) [133][ 340/1879] lr: 5.9021e-02 eta: 1 day, 8:56:58 time: 0.4988 data_time: 0.0377 memory: 18108 grad_norm: 3.4954 loss: 3.9656 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.3302 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6354 2023/02/01 20:55:12 - mmengine - INFO - Epoch(train) [133][ 360/1879] lr: 5.9014e-02 eta: 1 day, 8:56:47 time: 0.4926 data_time: 0.0320 memory: 18108 grad_norm: 3.5632 loss: 4.2045 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4483 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.7561 2023/02/01 20:55:22 - mmengine - INFO - Epoch(train) [133][ 380/1879] lr: 5.9006e-02 eta: 1 day, 8:56:37 time: 0.4990 data_time: 0.0355 memory: 18108 grad_norm: 3.4926 loss: 4.0821 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3571 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.7250 2023/02/01 20:55:32 - mmengine - INFO - Epoch(train) [133][ 400/1879] lr: 5.8999e-02 eta: 1 day, 8:56:26 time: 0.4752 data_time: 0.0307 memory: 18108 grad_norm: 3.5119 loss: 4.0494 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4258 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.6236 2023/02/01 20:55:42 - mmengine - INFO - Epoch(train) [133][ 420/1879] lr: 5.8991e-02 eta: 1 day, 8:56:16 time: 0.5072 data_time: 0.0440 memory: 18108 grad_norm: 3.5053 loss: 4.2072 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4834 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7238 2023/02/01 20:55:52 - mmengine - INFO - Epoch(train) [133][ 440/1879] lr: 5.8984e-02 eta: 1 day, 8:56:05 time: 0.4885 data_time: 0.0314 memory: 18108 grad_norm: 3.4560 loss: 3.9648 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3852 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.5796 2023/02/01 20:56:02 - mmengine - INFO - Epoch(train) [133][ 460/1879] lr: 5.8977e-02 eta: 1 day, 8:55:54 time: 0.4855 data_time: 0.0380 memory: 18108 grad_norm: 3.4589 loss: 4.0927 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3029 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.7898 2023/02/01 20:56:11 - mmengine - INFO - Epoch(train) [133][ 480/1879] lr: 5.8969e-02 eta: 1 day, 8:55:44 time: 0.4813 data_time: 0.0312 memory: 18108 grad_norm: 3.4516 loss: 4.1487 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4113 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.7374 2023/02/01 20:56:21 - mmengine - INFO - Epoch(train) [133][ 500/1879] lr: 5.8962e-02 eta: 1 day, 8:55:33 time: 0.5055 data_time: 0.0441 memory: 18108 grad_norm: 3.5527 loss: 4.0139 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.3339 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.6799 2023/02/01 20:56:31 - mmengine - INFO - Epoch(train) [133][ 520/1879] lr: 5.8954e-02 eta: 1 day, 8:55:23 time: 0.4846 data_time: 0.0303 memory: 18108 grad_norm: 3.5561 loss: 4.2346 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4945 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.7401 2023/02/01 20:56:41 - mmengine - INFO - Epoch(train) [133][ 540/1879] lr: 5.8947e-02 eta: 1 day, 8:55:12 time: 0.4941 data_time: 0.0383 memory: 18108 grad_norm: 3.5062 loss: 3.9792 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2669 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.7123 2023/02/01 20:56:51 - mmengine - INFO - Epoch(train) [133][ 560/1879] lr: 5.8940e-02 eta: 1 day, 8:55:02 time: 0.4862 data_time: 0.0379 memory: 18108 grad_norm: 3.5514 loss: 4.2006 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3758 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.8248 2023/02/01 20:57:01 - mmengine - INFO - Epoch(train) [133][ 580/1879] lr: 5.8932e-02 eta: 1 day, 8:54:51 time: 0.4912 data_time: 0.0388 memory: 18108 grad_norm: 3.4893 loss: 3.9542 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2568 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6974 2023/02/01 20:57:10 - mmengine - INFO - Epoch(train) [133][ 600/1879] lr: 5.8925e-02 eta: 1 day, 8:54:40 time: 0.4770 data_time: 0.0319 memory: 18108 grad_norm: 3.4510 loss: 3.8993 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.1819 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7174 2023/02/01 20:57:20 - mmengine - INFO - Epoch(train) [133][ 620/1879] lr: 5.8917e-02 eta: 1 day, 8:54:30 time: 0.4962 data_time: 0.0364 memory: 18108 grad_norm: 3.4976 loss: 4.1021 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4086 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.6935 2023/02/01 20:57:30 - mmengine - INFO - Epoch(train) [133][ 640/1879] lr: 5.8910e-02 eta: 1 day, 8:54:19 time: 0.4778 data_time: 0.0396 memory: 18108 grad_norm: 3.4863 loss: 3.8218 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1201 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.7017 2023/02/01 20:57:39 - mmengine - INFO - Epoch(train) [133][ 660/1879] lr: 5.8902e-02 eta: 1 day, 8:54:08 time: 0.4913 data_time: 0.0379 memory: 18108 grad_norm: 3.4603 loss: 4.1741 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5115 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.6626 2023/02/01 20:57:49 - mmengine - INFO - Epoch(train) [133][ 680/1879] lr: 5.8895e-02 eta: 1 day, 8:53:58 time: 0.4761 data_time: 0.0327 memory: 18108 grad_norm: 3.5388 loss: 3.9370 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.2827 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.6544 2023/02/01 20:57:59 - mmengine - INFO - Epoch(train) [133][ 700/1879] lr: 5.8888e-02 eta: 1 day, 8:53:47 time: 0.5085 data_time: 0.0440 memory: 18108 grad_norm: 3.4654 loss: 4.0717 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4195 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6522 2023/02/01 20:58:09 - mmengine - INFO - Epoch(train) [133][ 720/1879] lr: 5.8880e-02 eta: 1 day, 8:53:37 time: 0.4938 data_time: 0.0308 memory: 18108 grad_norm: 3.4582 loss: 3.9416 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3745 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5671 2023/02/01 20:58:19 - mmengine - INFO - Epoch(train) [133][ 740/1879] lr: 5.8873e-02 eta: 1 day, 8:53:27 time: 0.5010 data_time: 0.0378 memory: 18108 grad_norm: 3.4257 loss: 3.9095 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2521 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.6575 2023/02/01 20:58:29 - mmengine - INFO - Epoch(train) [133][ 760/1879] lr: 5.8865e-02 eta: 1 day, 8:53:16 time: 0.4861 data_time: 0.0314 memory: 18108 grad_norm: 3.5106 loss: 4.3006 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.5628 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.7378 2023/02/01 20:58:39 - mmengine - INFO - Epoch(train) [133][ 780/1879] lr: 5.8858e-02 eta: 1 day, 8:53:06 time: 0.5017 data_time: 0.0453 memory: 18108 grad_norm: 3.4738 loss: 4.1495 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4625 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.6870 2023/02/01 20:58:49 - mmengine - INFO - Epoch(train) [133][ 800/1879] lr: 5.8851e-02 eta: 1 day, 8:52:55 time: 0.4828 data_time: 0.0313 memory: 18108 grad_norm: 3.4922 loss: 4.3278 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.6620 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.6658 2023/02/01 20:58:59 - mmengine - INFO - Epoch(train) [133][ 820/1879] lr: 5.8843e-02 eta: 1 day, 8:52:44 time: 0.4978 data_time: 0.0374 memory: 18108 grad_norm: 3.4774 loss: 3.8702 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2054 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.6648 2023/02/01 20:59:08 - mmengine - INFO - Epoch(train) [133][ 840/1879] lr: 5.8836e-02 eta: 1 day, 8:52:34 time: 0.4914 data_time: 0.0316 memory: 18108 grad_norm: 3.4710 loss: 4.0149 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.3687 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.6462 2023/02/01 20:59:18 - mmengine - INFO - Epoch(train) [133][ 860/1879] lr: 5.8828e-02 eta: 1 day, 8:52:23 time: 0.4951 data_time: 0.0431 memory: 18108 grad_norm: 3.4681 loss: 4.0865 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3467 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.7397 2023/02/01 20:59:28 - mmengine - INFO - Epoch(train) [133][ 880/1879] lr: 5.8821e-02 eta: 1 day, 8:52:13 time: 0.4833 data_time: 0.0311 memory: 18108 grad_norm: 3.4967 loss: 4.0058 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3110 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.6948 2023/02/01 20:59:38 - mmengine - INFO - Epoch(train) [133][ 900/1879] lr: 5.8814e-02 eta: 1 day, 8:52:03 time: 0.5101 data_time: 0.0358 memory: 18108 grad_norm: 3.5922 loss: 4.2001 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.5301 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.6699 2023/02/01 20:59:48 - mmengine - INFO - Epoch(train) [133][ 920/1879] lr: 5.8806e-02 eta: 1 day, 8:51:52 time: 0.4943 data_time: 0.0402 memory: 18108 grad_norm: 3.5199 loss: 3.8700 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2445 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.6256 2023/02/01 20:59:58 - mmengine - INFO - Epoch(train) [133][ 940/1879] lr: 5.8799e-02 eta: 1 day, 8:51:42 time: 0.4942 data_time: 0.0371 memory: 18108 grad_norm: 3.4798 loss: 4.0365 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3064 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.7301 2023/02/01 21:00:08 - mmengine - INFO - Epoch(train) [133][ 960/1879] lr: 5.8791e-02 eta: 1 day, 8:51:31 time: 0.4951 data_time: 0.0319 memory: 18108 grad_norm: 3.5454 loss: 4.2151 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5417 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.6734 2023/02/01 21:00:14 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 21:00:18 - mmengine - INFO - Epoch(train) [133][ 980/1879] lr: 5.8784e-02 eta: 1 day, 8:51:21 time: 0.5048 data_time: 0.0474 memory: 18108 grad_norm: 3.4551 loss: 4.4527 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.7498 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.7029 2023/02/01 21:00:28 - mmengine - INFO - Epoch(train) [133][1000/1879] lr: 5.8776e-02 eta: 1 day, 8:51:10 time: 0.4925 data_time: 0.0308 memory: 18108 grad_norm: 3.4854 loss: 3.9015 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1433 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7582 2023/02/01 21:00:38 - mmengine - INFO - Epoch(train) [133][1020/1879] lr: 5.8769e-02 eta: 1 day, 8:51:00 time: 0.5006 data_time: 0.0383 memory: 18108 grad_norm: 3.4473 loss: 3.9774 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2348 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.7427 2023/02/01 21:00:48 - mmengine - INFO - Epoch(train) [133][1040/1879] lr: 5.8762e-02 eta: 1 day, 8:50:49 time: 0.4942 data_time: 0.0312 memory: 18108 grad_norm: 3.5701 loss: 4.0614 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3223 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.7390 2023/02/01 21:00:58 - mmengine - INFO - Epoch(train) [133][1060/1879] lr: 5.8754e-02 eta: 1 day, 8:50:39 time: 0.5061 data_time: 0.0512 memory: 18108 grad_norm: 3.5014 loss: 3.9206 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.2522 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.6684 2023/02/01 21:01:08 - mmengine - INFO - Epoch(train) [133][1080/1879] lr: 5.8747e-02 eta: 1 day, 8:50:28 time: 0.4802 data_time: 0.0323 memory: 18108 grad_norm: 3.4152 loss: 4.2354 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.5228 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7126 2023/02/01 21:01:18 - mmengine - INFO - Epoch(train) [133][1100/1879] lr: 5.8739e-02 eta: 1 day, 8:50:18 time: 0.5070 data_time: 0.0373 memory: 18108 grad_norm: 3.4694 loss: 4.0454 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3319 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7135 2023/02/01 21:01:28 - mmengine - INFO - Epoch(train) [133][1120/1879] lr: 5.8732e-02 eta: 1 day, 8:50:08 time: 0.5021 data_time: 0.0384 memory: 18108 grad_norm: 3.5221 loss: 4.1631 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.4386 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.7245 2023/02/01 21:01:38 - mmengine - INFO - Epoch(train) [133][1140/1879] lr: 5.8725e-02 eta: 1 day, 8:49:57 time: 0.4873 data_time: 0.0365 memory: 18108 grad_norm: 3.4343 loss: 4.1702 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3787 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.7915 2023/02/01 21:01:47 - mmengine - INFO - Epoch(train) [133][1160/1879] lr: 5.8717e-02 eta: 1 day, 8:49:47 time: 0.4962 data_time: 0.0316 memory: 18108 grad_norm: 3.4928 loss: 4.0394 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3282 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.7112 2023/02/01 21:01:58 - mmengine - INFO - Epoch(train) [133][1180/1879] lr: 5.8710e-02 eta: 1 day, 8:49:36 time: 0.5047 data_time: 0.0348 memory: 18108 grad_norm: 3.5026 loss: 4.0402 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4015 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.6387 2023/02/01 21:02:08 - mmengine - INFO - Epoch(train) [133][1200/1879] lr: 5.8702e-02 eta: 1 day, 8:49:26 time: 0.5164 data_time: 0.0387 memory: 18108 grad_norm: 3.4600 loss: 3.9673 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.2972 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.6701 2023/02/01 21:02:18 - mmengine - INFO - Epoch(train) [133][1220/1879] lr: 5.8695e-02 eta: 1 day, 8:49:16 time: 0.5055 data_time: 0.0363 memory: 18108 grad_norm: 3.5673 loss: 4.1873 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5360 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.6513 2023/02/01 21:02:28 - mmengine - INFO - Epoch(train) [133][1240/1879] lr: 5.8687e-02 eta: 1 day, 8:49:06 time: 0.5031 data_time: 0.0325 memory: 18108 grad_norm: 3.5409 loss: 3.9218 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2425 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.6793 2023/02/01 21:02:38 - mmengine - INFO - Epoch(train) [133][1260/1879] lr: 5.8680e-02 eta: 1 day, 8:48:55 time: 0.4988 data_time: 0.0371 memory: 18108 grad_norm: 3.4566 loss: 3.7743 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.1127 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.6616 2023/02/01 21:02:48 - mmengine - INFO - Epoch(train) [133][1280/1879] lr: 5.8673e-02 eta: 1 day, 8:48:45 time: 0.5055 data_time: 0.0316 memory: 18108 grad_norm: 3.4963 loss: 3.8962 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.2817 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.6145 2023/02/01 21:02:58 - mmengine - INFO - Epoch(train) [133][1300/1879] lr: 5.8665e-02 eta: 1 day, 8:48:35 time: 0.5029 data_time: 0.0360 memory: 18108 grad_norm: 3.5392 loss: 4.1237 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4253 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.6984 2023/02/01 21:03:08 - mmengine - INFO - Epoch(train) [133][1320/1879] lr: 5.8658e-02 eta: 1 day, 8:48:24 time: 0.4944 data_time: 0.0317 memory: 18108 grad_norm: 3.5096 loss: 3.9997 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2836 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7161 2023/02/01 21:03:18 - mmengine - INFO - Epoch(train) [133][1340/1879] lr: 5.8650e-02 eta: 1 day, 8:48:14 time: 0.5063 data_time: 0.0356 memory: 18108 grad_norm: 3.4825 loss: 4.0211 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.3390 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.6821 2023/02/01 21:03:28 - mmengine - INFO - Epoch(train) [133][1360/1879] lr: 5.8643e-02 eta: 1 day, 8:48:03 time: 0.4813 data_time: 0.0304 memory: 18108 grad_norm: 3.4923 loss: 4.2493 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4767 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.7726 2023/02/01 21:03:38 - mmengine - INFO - Epoch(train) [133][1380/1879] lr: 5.8636e-02 eta: 1 day, 8:47:53 time: 0.5012 data_time: 0.0357 memory: 18108 grad_norm: 3.4744 loss: 4.0402 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3525 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.6877 2023/02/01 21:03:48 - mmengine - INFO - Epoch(train) [133][1400/1879] lr: 5.8628e-02 eta: 1 day, 8:47:42 time: 0.4919 data_time: 0.0299 memory: 18108 grad_norm: 3.5044 loss: 4.0021 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3489 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.6533 2023/02/01 21:03:58 - mmengine - INFO - Epoch(train) [133][1420/1879] lr: 5.8621e-02 eta: 1 day, 8:47:32 time: 0.5048 data_time: 0.0348 memory: 18108 grad_norm: 3.4501 loss: 3.8623 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.1729 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.6894 2023/02/01 21:04:08 - mmengine - INFO - Epoch(train) [133][1440/1879] lr: 5.8613e-02 eta: 1 day, 8:47:22 time: 0.5008 data_time: 0.0332 memory: 18108 grad_norm: 3.5389 loss: 3.9056 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2408 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.6648 2023/02/01 21:04:18 - mmengine - INFO - Epoch(train) [133][1460/1879] lr: 5.8606e-02 eta: 1 day, 8:47:11 time: 0.5000 data_time: 0.0350 memory: 18108 grad_norm: 3.5020 loss: 4.0786 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.3450 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.7336 2023/02/01 21:04:28 - mmengine - INFO - Epoch(train) [133][1480/1879] lr: 5.8598e-02 eta: 1 day, 8:47:01 time: 0.4950 data_time: 0.0391 memory: 18108 grad_norm: 3.4505 loss: 4.0903 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4325 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.6578 2023/02/01 21:04:38 - mmengine - INFO - Epoch(train) [133][1500/1879] lr: 5.8591e-02 eta: 1 day, 8:46:51 time: 0.5086 data_time: 0.0346 memory: 18108 grad_norm: 3.4908 loss: 4.1796 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4601 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.7195 2023/02/01 21:04:48 - mmengine - INFO - Epoch(train) [133][1520/1879] lr: 5.8584e-02 eta: 1 day, 8:46:40 time: 0.4955 data_time: 0.0325 memory: 18108 grad_norm: 3.5538 loss: 4.0903 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3213 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7690 2023/02/01 21:04:58 - mmengine - INFO - Epoch(train) [133][1540/1879] lr: 5.8576e-02 eta: 1 day, 8:46:30 time: 0.5046 data_time: 0.0356 memory: 18108 grad_norm: 3.5176 loss: 4.1332 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 2.3466 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.7866 2023/02/01 21:05:08 - mmengine - INFO - Epoch(train) [133][1560/1879] lr: 5.8569e-02 eta: 1 day, 8:46:20 time: 0.5072 data_time: 0.0344 memory: 18108 grad_norm: 3.4708 loss: 3.8221 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1657 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.6564 2023/02/01 21:05:19 - mmengine - INFO - Epoch(train) [133][1580/1879] lr: 5.8561e-02 eta: 1 day, 8:46:10 time: 0.5131 data_time: 0.0351 memory: 18108 grad_norm: 3.4933 loss: 4.1296 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4424 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.6872 2023/02/01 21:05:29 - mmengine - INFO - Epoch(train) [133][1600/1879] lr: 5.8554e-02 eta: 1 day, 8:45:59 time: 0.5022 data_time: 0.0296 memory: 18108 grad_norm: 3.4800 loss: 4.0385 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3608 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.6777 2023/02/01 21:05:39 - mmengine - INFO - Epoch(train) [133][1620/1879] lr: 5.8547e-02 eta: 1 day, 8:45:49 time: 0.4979 data_time: 0.0343 memory: 18108 grad_norm: 3.5120 loss: 3.9333 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.1764 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.7569 2023/02/01 21:05:49 - mmengine - INFO - Epoch(train) [133][1640/1879] lr: 5.8539e-02 eta: 1 day, 8:45:38 time: 0.4987 data_time: 0.0396 memory: 18108 grad_norm: 3.5158 loss: 4.1592 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.4863 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.6728 2023/02/01 21:05:59 - mmengine - INFO - Epoch(train) [133][1660/1879] lr: 5.8532e-02 eta: 1 day, 8:45:28 time: 0.5181 data_time: 0.0364 memory: 18108 grad_norm: 3.5183 loss: 4.3127 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.4924 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.8203 2023/02/01 21:06:09 - mmengine - INFO - Epoch(train) [133][1680/1879] lr: 5.8524e-02 eta: 1 day, 8:45:18 time: 0.4909 data_time: 0.0311 memory: 18108 grad_norm: 3.5373 loss: 4.0019 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2308 top1_acc_1: 0.6471 top5_acc_1: 0.7765 loss_cls_1: 1.7711 2023/02/01 21:06:19 - mmengine - INFO - Epoch(train) [133][1700/1879] lr: 5.8517e-02 eta: 1 day, 8:45:08 time: 0.5206 data_time: 0.0438 memory: 18108 grad_norm: 3.4939 loss: 4.1528 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.4561 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.6967 2023/02/01 21:06:29 - mmengine - INFO - Epoch(train) [133][1720/1879] lr: 5.8509e-02 eta: 1 day, 8:44:58 time: 0.5050 data_time: 0.0311 memory: 18108 grad_norm: 3.4509 loss: 4.1038 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3850 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 1.7187 2023/02/01 21:06:40 - mmengine - INFO - Epoch(train) [133][1740/1879] lr: 5.8502e-02 eta: 1 day, 8:44:48 time: 0.5177 data_time: 0.0348 memory: 18108 grad_norm: 3.4734 loss: 3.8564 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1804 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.6760 2023/02/01 21:06:50 - mmengine - INFO - Epoch(train) [133][1760/1879] lr: 5.8495e-02 eta: 1 day, 8:44:37 time: 0.4988 data_time: 0.0314 memory: 18108 grad_norm: 3.4893 loss: 4.0842 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3467 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.7375 2023/02/01 21:07:00 - mmengine - INFO - Epoch(train) [133][1780/1879] lr: 5.8487e-02 eta: 1 day, 8:44:27 time: 0.5284 data_time: 0.0465 memory: 18108 grad_norm: 3.5023 loss: 4.1251 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3910 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.7342 2023/02/01 21:07:10 - mmengine - INFO - Epoch(train) [133][1800/1879] lr: 5.8480e-02 eta: 1 day, 8:44:17 time: 0.4953 data_time: 0.0312 memory: 18108 grad_norm: 3.4458 loss: 4.0677 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.4524 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.6153 2023/02/01 21:07:21 - mmengine - INFO - Epoch(train) [133][1820/1879] lr: 5.8472e-02 eta: 1 day, 8:44:07 time: 0.5181 data_time: 0.0383 memory: 18108 grad_norm: 3.4273 loss: 4.0752 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.3694 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.7057 2023/02/01 21:07:31 - mmengine - INFO - Epoch(train) [133][1840/1879] lr: 5.8465e-02 eta: 1 day, 8:43:57 time: 0.5105 data_time: 0.0387 memory: 18108 grad_norm: 3.4348 loss: 3.9885 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3615 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.6270 2023/02/01 21:07:41 - mmengine - INFO - Epoch(train) [133][1860/1879] lr: 5.8457e-02 eta: 1 day, 8:43:46 time: 0.5080 data_time: 0.0381 memory: 18108 grad_norm: 3.5366 loss: 4.1506 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3661 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.7846 2023/02/01 21:07:50 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 21:07:50 - mmengine - INFO - Epoch(train) [133][1879/1879] lr: 5.8450e-02 eta: 1 day, 8:43:36 time: 0.4821 data_time: 0.0270 memory: 18108 grad_norm: 3.5575 loss: 4.2196 top1_acc_0: 0.2857 top5_acc_0: 0.4286 loss_cls_0: 2.5471 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.6725 2023/02/01 21:08:05 - mmengine - INFO - Epoch(train) [134][ 20/1879] lr: 5.8443e-02 eta: 1 day, 8:43:30 time: 0.7053 data_time: 0.2626 memory: 18108 grad_norm: 3.4103 loss: 3.8931 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.2565 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.6366 2023/02/01 21:08:14 - mmengine - INFO - Epoch(train) [134][ 40/1879] lr: 5.8436e-02 eta: 1 day, 8:43:19 time: 0.4638 data_time: 0.0323 memory: 18108 grad_norm: 3.4996 loss: 3.7383 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1597 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.5786 2023/02/01 21:08:24 - mmengine - INFO - Epoch(train) [134][ 60/1879] lr: 5.8428e-02 eta: 1 day, 8:43:08 time: 0.4744 data_time: 0.0368 memory: 18108 grad_norm: 3.5570 loss: 3.9059 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2022 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.7036 2023/02/01 21:08:34 - mmengine - INFO - Epoch(train) [134][ 80/1879] lr: 5.8421e-02 eta: 1 day, 8:42:58 time: 0.5051 data_time: 0.0408 memory: 18108 grad_norm: 3.5133 loss: 4.1570 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.4236 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7334 2023/02/01 21:08:40 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 21:08:44 - mmengine - INFO - Epoch(train) [134][ 100/1879] lr: 5.8413e-02 eta: 1 day, 8:42:47 time: 0.4741 data_time: 0.0365 memory: 18108 grad_norm: 3.4833 loss: 4.0015 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4139 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.5876 2023/02/01 21:08:53 - mmengine - INFO - Epoch(train) [134][ 120/1879] lr: 5.8406e-02 eta: 1 day, 8:42:36 time: 0.4661 data_time: 0.0304 memory: 18108 grad_norm: 3.5717 loss: 4.1309 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5403 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.5907 2023/02/01 21:09:03 - mmengine - INFO - Epoch(train) [134][ 140/1879] lr: 5.8398e-02 eta: 1 day, 8:42:25 time: 0.4952 data_time: 0.0495 memory: 18108 grad_norm: 3.5097 loss: 4.3140 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.6555 top1_acc_1: 0.7529 top5_acc_1: 0.8471 loss_cls_1: 1.6585 2023/02/01 21:09:13 - mmengine - INFO - Epoch(train) [134][ 160/1879] lr: 5.8391e-02 eta: 1 day, 8:42:15 time: 0.4844 data_time: 0.0329 memory: 18108 grad_norm: 3.4684 loss: 3.6617 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0765 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.5852 2023/02/01 21:09:22 - mmengine - INFO - Epoch(train) [134][ 180/1879] lr: 5.8384e-02 eta: 1 day, 8:42:04 time: 0.4820 data_time: 0.0363 memory: 18108 grad_norm: 3.4972 loss: 4.0355 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3544 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6811 2023/02/01 21:09:32 - mmengine - INFO - Epoch(train) [134][ 200/1879] lr: 5.8376e-02 eta: 1 day, 8:41:53 time: 0.4792 data_time: 0.0321 memory: 18108 grad_norm: 3.4710 loss: 3.9711 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3044 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.6666 2023/02/01 21:09:42 - mmengine - INFO - Epoch(train) [134][ 220/1879] lr: 5.8369e-02 eta: 1 day, 8:41:43 time: 0.5177 data_time: 0.0378 memory: 18108 grad_norm: 3.5083 loss: 3.8657 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2207 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.6449 2023/02/01 21:09:52 - mmengine - INFO - Epoch(train) [134][ 240/1879] lr: 5.8361e-02 eta: 1 day, 8:41:32 time: 0.4875 data_time: 0.0301 memory: 18108 grad_norm: 3.4912 loss: 3.7410 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.1201 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.6209 2023/02/01 21:10:02 - mmengine - INFO - Epoch(train) [134][ 260/1879] lr: 5.8354e-02 eta: 1 day, 8:41:22 time: 0.4871 data_time: 0.0370 memory: 18108 grad_norm: 3.6158 loss: 4.1182 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.4552 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.6630 2023/02/01 21:10:12 - mmengine - INFO - Epoch(train) [134][ 280/1879] lr: 5.8346e-02 eta: 1 day, 8:41:11 time: 0.5051 data_time: 0.0406 memory: 18108 grad_norm: 3.5172 loss: 4.0624 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4650 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5974 2023/02/01 21:10:22 - mmengine - INFO - Epoch(train) [134][ 300/1879] lr: 5.8339e-02 eta: 1 day, 8:41:01 time: 0.4951 data_time: 0.0385 memory: 18108 grad_norm: 3.4684 loss: 3.8170 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.1920 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.6250 2023/02/01 21:10:31 - mmengine - INFO - Epoch(train) [134][ 320/1879] lr: 5.8332e-02 eta: 1 day, 8:40:50 time: 0.4803 data_time: 0.0305 memory: 18108 grad_norm: 3.5178 loss: 3.9985 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3649 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.6336 2023/02/01 21:10:41 - mmengine - INFO - Epoch(train) [134][ 340/1879] lr: 5.8324e-02 eta: 1 day, 8:40:40 time: 0.4913 data_time: 0.0364 memory: 18108 grad_norm: 3.5992 loss: 3.8817 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1746 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.7071 2023/02/01 21:10:54 - mmengine - INFO - Epoch(train) [134][ 360/1879] lr: 5.8317e-02 eta: 1 day, 8:40:32 time: 0.6565 data_time: 0.1921 memory: 18108 grad_norm: 3.5886 loss: 4.0828 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3629 top1_acc_1: 0.6353 top5_acc_1: 0.7529 loss_cls_1: 1.7199 2023/02/01 21:11:04 - mmengine - INFO - Epoch(train) [134][ 380/1879] lr: 5.8309e-02 eta: 1 day, 8:40:22 time: 0.4930 data_time: 0.0400 memory: 18108 grad_norm: 3.5417 loss: 3.8782 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1931 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.6851 2023/02/01 21:11:14 - mmengine - INFO - Epoch(train) [134][ 400/1879] lr: 5.8302e-02 eta: 1 day, 8:40:11 time: 0.4922 data_time: 0.0334 memory: 18108 grad_norm: 3.4844 loss: 4.1010 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.4287 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.6724 2023/02/01 21:11:24 - mmengine - INFO - Epoch(train) [134][ 420/1879] lr: 5.8294e-02 eta: 1 day, 8:40:01 time: 0.5161 data_time: 0.0472 memory: 18108 grad_norm: 3.5364 loss: 4.1569 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3659 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.7911 2023/02/01 21:11:34 - mmengine - INFO - Epoch(train) [134][ 440/1879] lr: 5.8287e-02 eta: 1 day, 8:39:51 time: 0.4863 data_time: 0.0316 memory: 18108 grad_norm: 3.4587 loss: 3.9688 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3008 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.6680 2023/02/01 21:11:44 - mmengine - INFO - Epoch(train) [134][ 460/1879] lr: 5.8280e-02 eta: 1 day, 8:39:40 time: 0.4900 data_time: 0.0354 memory: 18108 grad_norm: 3.4545 loss: 3.8113 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.1934 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.6179 2023/02/01 21:11:54 - mmengine - INFO - Epoch(train) [134][ 480/1879] lr: 5.8272e-02 eta: 1 day, 8:39:30 time: 0.4958 data_time: 0.0332 memory: 18108 grad_norm: 3.4883 loss: 3.9959 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3180 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.6779 2023/02/01 21:12:04 - mmengine - INFO - Epoch(train) [134][ 500/1879] lr: 5.8265e-02 eta: 1 day, 8:39:19 time: 0.5083 data_time: 0.0427 memory: 18108 grad_norm: 3.4952 loss: 3.9797 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2994 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.6804 2023/02/01 21:12:14 - mmengine - INFO - Epoch(train) [134][ 520/1879] lr: 5.8257e-02 eta: 1 day, 8:39:09 time: 0.4864 data_time: 0.0321 memory: 18108 grad_norm: 3.5309 loss: 3.8975 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2120 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.6856 2023/02/01 21:12:24 - mmengine - INFO - Epoch(train) [134][ 540/1879] lr: 5.8250e-02 eta: 1 day, 8:38:58 time: 0.4908 data_time: 0.0377 memory: 18108 grad_norm: 3.4940 loss: 4.0698 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3307 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.7391 2023/02/01 21:12:34 - mmengine - INFO - Epoch(train) [134][ 560/1879] lr: 5.8242e-02 eta: 1 day, 8:38:48 time: 0.5105 data_time: 0.0365 memory: 18108 grad_norm: 3.5412 loss: 3.8985 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3069 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.5916 2023/02/01 21:12:44 - mmengine - INFO - Epoch(train) [134][ 580/1879] lr: 5.8235e-02 eta: 1 day, 8:38:37 time: 0.4888 data_time: 0.0370 memory: 18108 grad_norm: 3.5307 loss: 3.7504 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0958 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.6547 2023/02/01 21:12:53 - mmengine - INFO - Epoch(train) [134][ 600/1879] lr: 5.8228e-02 eta: 1 day, 8:38:27 time: 0.4828 data_time: 0.0321 memory: 18108 grad_norm: 3.5202 loss: 3.8518 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.2343 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.6175 2023/02/01 21:13:04 - mmengine - INFO - Epoch(train) [134][ 620/1879] lr: 5.8220e-02 eta: 1 day, 8:38:16 time: 0.5090 data_time: 0.0372 memory: 18108 grad_norm: 3.4864 loss: 4.0181 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.3332 top1_acc_1: 0.5529 top5_acc_1: 0.8706 loss_cls_1: 1.6849 2023/02/01 21:13:13 - mmengine - INFO - Epoch(train) [134][ 640/1879] lr: 5.8213e-02 eta: 1 day, 8:38:06 time: 0.4877 data_time: 0.0375 memory: 18108 grad_norm: 3.5043 loss: 3.9286 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2991 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.6294 2023/02/01 21:13:23 - mmengine - INFO - Epoch(train) [134][ 660/1879] lr: 5.8205e-02 eta: 1 day, 8:37:55 time: 0.4824 data_time: 0.0370 memory: 18108 grad_norm: 3.5131 loss: 3.9957 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2777 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7180 2023/02/01 21:13:33 - mmengine - INFO - Epoch(train) [134][ 680/1879] lr: 5.8198e-02 eta: 1 day, 8:37:44 time: 0.4817 data_time: 0.0327 memory: 18108 grad_norm: 3.5178 loss: 4.0913 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4699 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.6214 2023/02/01 21:13:43 - mmengine - INFO - Epoch(train) [134][ 700/1879] lr: 5.8190e-02 eta: 1 day, 8:37:34 time: 0.5118 data_time: 0.0423 memory: 18108 grad_norm: 3.4729 loss: 4.1042 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3613 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.7429 2023/02/01 21:13:53 - mmengine - INFO - Epoch(train) [134][ 720/1879] lr: 5.8183e-02 eta: 1 day, 8:37:24 time: 0.4804 data_time: 0.0338 memory: 18108 grad_norm: 3.5725 loss: 4.1165 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3124 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.8041 2023/02/01 21:14:02 - mmengine - INFO - Epoch(train) [134][ 740/1879] lr: 5.8176e-02 eta: 1 day, 8:37:13 time: 0.4897 data_time: 0.0369 memory: 18108 grad_norm: 3.5288 loss: 3.9675 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3369 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.6306 2023/02/01 21:14:12 - mmengine - INFO - Epoch(train) [134][ 760/1879] lr: 5.8168e-02 eta: 1 day, 8:37:03 time: 0.4960 data_time: 0.0328 memory: 18108 grad_norm: 3.5263 loss: 4.0204 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.4145 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.6060 2023/02/01 21:14:22 - mmengine - INFO - Epoch(train) [134][ 780/1879] lr: 5.8161e-02 eta: 1 day, 8:36:52 time: 0.5021 data_time: 0.0423 memory: 18108 grad_norm: 3.4447 loss: 3.9242 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2239 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.7003 2023/02/01 21:14:32 - mmengine - INFO - Epoch(train) [134][ 800/1879] lr: 5.8153e-02 eta: 1 day, 8:36:42 time: 0.4913 data_time: 0.0347 memory: 18108 grad_norm: 3.4579 loss: 3.9527 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2896 top1_acc_1: 0.6000 top5_acc_1: 0.7294 loss_cls_1: 1.6631 2023/02/01 21:14:42 - mmengine - INFO - Epoch(train) [134][ 820/1879] lr: 5.8146e-02 eta: 1 day, 8:36:31 time: 0.4950 data_time: 0.0332 memory: 18108 grad_norm: 3.4867 loss: 4.2758 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5494 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.7264 2023/02/01 21:14:52 - mmengine - INFO - Epoch(train) [134][ 840/1879] lr: 5.8138e-02 eta: 1 day, 8:36:21 time: 0.4967 data_time: 0.0369 memory: 18108 grad_norm: 3.4527 loss: 3.9536 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3385 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.6152 2023/02/01 21:15:02 - mmengine - INFO - Epoch(train) [134][ 860/1879] lr: 5.8131e-02 eta: 1 day, 8:36:10 time: 0.4989 data_time: 0.0389 memory: 18108 grad_norm: 3.5741 loss: 4.2041 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4834 top1_acc_1: 0.4588 top5_acc_1: 0.7882 loss_cls_1: 1.7207 2023/02/01 21:15:12 - mmengine - INFO - Epoch(train) [134][ 880/1879] lr: 5.8124e-02 eta: 1 day, 8:36:00 time: 0.5034 data_time: 0.0379 memory: 18108 grad_norm: 3.5283 loss: 4.1654 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.5040 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.6613 2023/02/01 21:15:22 - mmengine - INFO - Epoch(train) [134][ 900/1879] lr: 5.8116e-02 eta: 1 day, 8:35:50 time: 0.5028 data_time: 0.0357 memory: 18108 grad_norm: 3.3724 loss: 4.0556 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3192 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.7364 2023/02/01 21:15:32 - mmengine - INFO - Epoch(train) [134][ 920/1879] lr: 5.8109e-02 eta: 1 day, 8:35:40 time: 0.5065 data_time: 0.0369 memory: 18108 grad_norm: 3.4310 loss: 4.0610 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3591 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.7020 2023/02/01 21:15:42 - mmengine - INFO - Epoch(train) [134][ 940/1879] lr: 5.8101e-02 eta: 1 day, 8:35:29 time: 0.4984 data_time: 0.0341 memory: 18108 grad_norm: 3.4825 loss: 3.8242 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.1404 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.6838 2023/02/01 21:15:52 - mmengine - INFO - Epoch(train) [134][ 960/1879] lr: 5.8094e-02 eta: 1 day, 8:35:19 time: 0.4977 data_time: 0.0359 memory: 18108 grad_norm: 3.4747 loss: 3.9439 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3138 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.6301 2023/02/01 21:16:02 - mmengine - INFO - Epoch(train) [134][ 980/1879] lr: 5.8086e-02 eta: 1 day, 8:35:08 time: 0.4967 data_time: 0.0320 memory: 18108 grad_norm: 3.5284 loss: 4.0788 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4136 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.6652 2023/02/01 21:16:12 - mmengine - INFO - Epoch(train) [134][1000/1879] lr: 5.8079e-02 eta: 1 day, 8:34:58 time: 0.5098 data_time: 0.0469 memory: 18108 grad_norm: 3.4140 loss: 4.0766 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4450 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.6317 2023/02/01 21:16:23 - mmengine - INFO - Epoch(train) [134][1020/1879] lr: 5.8072e-02 eta: 1 day, 8:34:48 time: 0.5022 data_time: 0.0324 memory: 18108 grad_norm: 3.5274 loss: 4.0820 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.3914 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6906 2023/02/01 21:16:33 - mmengine - INFO - Epoch(train) [134][1040/1879] lr: 5.8064e-02 eta: 1 day, 8:34:37 time: 0.4992 data_time: 0.0339 memory: 18108 grad_norm: 3.5725 loss: 4.2125 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4536 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.7589 2023/02/01 21:16:42 - mmengine - INFO - Epoch(train) [134][1060/1879] lr: 5.8057e-02 eta: 1 day, 8:34:27 time: 0.4977 data_time: 0.0371 memory: 18108 grad_norm: 3.5495 loss: 4.0756 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 2.4060 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.6696 2023/02/01 21:16:53 - mmengine - INFO - Epoch(train) [134][1080/1879] lr: 5.8049e-02 eta: 1 day, 8:34:17 time: 0.5111 data_time: 0.0374 memory: 18108 grad_norm: 3.5616 loss: 3.9288 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2135 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.7153 2023/02/01 21:16:59 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 21:17:03 - mmengine - INFO - Epoch(train) [134][1100/1879] lr: 5.8042e-02 eta: 1 day, 8:34:06 time: 0.4982 data_time: 0.0343 memory: 18108 grad_norm: 3.4728 loss: 3.9769 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.2703 top1_acc_1: 0.5529 top5_acc_1: 0.8824 loss_cls_1: 1.7066 2023/02/01 21:17:13 - mmengine - INFO - Epoch(train) [134][1120/1879] lr: 5.8034e-02 eta: 1 day, 8:33:56 time: 0.4981 data_time: 0.0369 memory: 18108 grad_norm: 3.5475 loss: 4.1991 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4951 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.7040 2023/02/01 21:17:23 - mmengine - INFO - Epoch(train) [134][1140/1879] lr: 5.8027e-02 eta: 1 day, 8:33:46 time: 0.4980 data_time: 0.0352 memory: 18108 grad_norm: 3.5846 loss: 3.8389 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.2831 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.5558 2023/02/01 21:17:33 - mmengine - INFO - Epoch(train) [134][1160/1879] lr: 5.8020e-02 eta: 1 day, 8:33:35 time: 0.5031 data_time: 0.0370 memory: 18108 grad_norm: 3.5296 loss: 3.9825 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2849 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.6976 2023/02/01 21:17:43 - mmengine - INFO - Epoch(train) [134][1180/1879] lr: 5.8012e-02 eta: 1 day, 8:33:25 time: 0.4993 data_time: 0.0317 memory: 18108 grad_norm: 3.4995 loss: 4.0575 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3669 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 1.6906 2023/02/01 21:17:53 - mmengine - INFO - Epoch(train) [134][1200/1879] lr: 5.8005e-02 eta: 1 day, 8:33:15 time: 0.5092 data_time: 0.0428 memory: 18108 grad_norm: 3.4962 loss: 3.7443 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1389 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.6054 2023/02/01 21:18:03 - mmengine - INFO - Epoch(train) [134][1220/1879] lr: 5.7997e-02 eta: 1 day, 8:33:05 time: 0.5145 data_time: 0.0336 memory: 18108 grad_norm: 3.5415 loss: 4.3550 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6586 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.6964 2023/02/01 21:18:13 - mmengine - INFO - Epoch(train) [134][1240/1879] lr: 5.7990e-02 eta: 1 day, 8:32:54 time: 0.5084 data_time: 0.0368 memory: 18108 grad_norm: 3.5052 loss: 4.1556 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.4196 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.7359 2023/02/01 21:18:24 - mmengine - INFO - Epoch(train) [134][1260/1879] lr: 5.7982e-02 eta: 1 day, 8:32:44 time: 0.5162 data_time: 0.0414 memory: 18108 grad_norm: 3.5053 loss: 4.0690 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3110 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7581 2023/02/01 21:18:34 - mmengine - INFO - Epoch(train) [134][1280/1879] lr: 5.7975e-02 eta: 1 day, 8:32:34 time: 0.5011 data_time: 0.0370 memory: 18108 grad_norm: 3.4532 loss: 4.0989 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4241 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6748 2023/02/01 21:18:44 - mmengine - INFO - Epoch(train) [134][1300/1879] lr: 5.7968e-02 eta: 1 day, 8:32:24 time: 0.5090 data_time: 0.0339 memory: 18108 grad_norm: 3.4454 loss: 3.8516 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1667 top1_acc_1: 0.6118 top5_acc_1: 0.9059 loss_cls_1: 1.6849 2023/02/01 21:18:54 - mmengine - INFO - Epoch(train) [134][1320/1879] lr: 5.7960e-02 eta: 1 day, 8:32:14 time: 0.5140 data_time: 0.0434 memory: 18108 grad_norm: 3.5713 loss: 4.0841 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3997 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.6845 2023/02/01 21:19:04 - mmengine - INFO - Epoch(train) [134][1340/1879] lr: 5.7953e-02 eta: 1 day, 8:32:03 time: 0.5002 data_time: 0.0317 memory: 18108 grad_norm: 3.4890 loss: 4.0416 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3115 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.7301 2023/02/01 21:19:14 - mmengine - INFO - Epoch(train) [134][1360/1879] lr: 5.7945e-02 eta: 1 day, 8:31:53 time: 0.5063 data_time: 0.0368 memory: 18108 grad_norm: 3.5212 loss: 4.1830 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4490 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7341 2023/02/01 21:19:25 - mmengine - INFO - Epoch(train) [134][1380/1879] lr: 5.7938e-02 eta: 1 day, 8:31:43 time: 0.5073 data_time: 0.0328 memory: 18108 grad_norm: 3.5249 loss: 3.9791 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3287 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.6504 2023/02/01 21:19:35 - mmengine - INFO - Epoch(train) [134][1400/1879] lr: 5.7930e-02 eta: 1 day, 8:31:33 time: 0.5194 data_time: 0.0423 memory: 18108 grad_norm: 3.5313 loss: 4.1039 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4075 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.6964 2023/02/01 21:19:45 - mmengine - INFO - Epoch(train) [134][1420/1879] lr: 5.7923e-02 eta: 1 day, 8:31:22 time: 0.4899 data_time: 0.0320 memory: 18108 grad_norm: 3.4527 loss: 4.0756 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 2.3638 top1_acc_1: 0.5412 top5_acc_1: 0.8471 loss_cls_1: 1.7118 2023/02/01 21:19:55 - mmengine - INFO - Epoch(train) [134][1440/1879] lr: 5.7915e-02 eta: 1 day, 8:31:12 time: 0.5162 data_time: 0.0367 memory: 18108 grad_norm: 3.4750 loss: 4.1828 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 2.3866 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.7962 2023/02/01 21:20:06 - mmengine - INFO - Epoch(train) [134][1460/1879] lr: 5.7908e-02 eta: 1 day, 8:31:02 time: 0.5311 data_time: 0.0391 memory: 18108 grad_norm: 3.5199 loss: 4.2325 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4836 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.7489 2023/02/01 21:20:16 - mmengine - INFO - Epoch(train) [134][1480/1879] lr: 5.7901e-02 eta: 1 day, 8:30:52 time: 0.5119 data_time: 0.0377 memory: 18108 grad_norm: 3.4966 loss: 4.0067 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3397 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.6670 2023/02/01 21:20:26 - mmengine - INFO - Epoch(train) [134][1500/1879] lr: 5.7893e-02 eta: 1 day, 8:30:42 time: 0.5075 data_time: 0.0316 memory: 18108 grad_norm: 3.5212 loss: 4.2005 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4283 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.7722 2023/02/01 21:20:37 - mmengine - INFO - Epoch(train) [134][1520/1879] lr: 5.7886e-02 eta: 1 day, 8:30:32 time: 0.5270 data_time: 0.0360 memory: 18108 grad_norm: 3.5193 loss: 4.0073 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3682 top1_acc_1: 0.5059 top5_acc_1: 0.8353 loss_cls_1: 1.6391 2023/02/01 21:20:47 - mmengine - INFO - Epoch(train) [134][1540/1879] lr: 5.7878e-02 eta: 1 day, 8:30:22 time: 0.5296 data_time: 0.0325 memory: 18108 grad_norm: 3.4776 loss: 4.0619 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3399 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.7220 2023/02/01 21:20:58 - mmengine - INFO - Epoch(train) [134][1560/1879] lr: 5.7871e-02 eta: 1 day, 8:30:12 time: 0.5059 data_time: 0.0356 memory: 18108 grad_norm: 3.5705 loss: 4.3578 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.6736 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.6842 2023/02/01 21:21:08 - mmengine - INFO - Epoch(train) [134][1580/1879] lr: 5.7863e-02 eta: 1 day, 8:30:02 time: 0.5267 data_time: 0.0322 memory: 18108 grad_norm: 3.4983 loss: 3.9852 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2305 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.7547 2023/02/01 21:21:19 - mmengine - INFO - Epoch(train) [134][1600/1879] lr: 5.7856e-02 eta: 1 day, 8:29:52 time: 0.5276 data_time: 0.0363 memory: 18108 grad_norm: 3.4525 loss: 4.0571 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3813 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.6758 2023/02/01 21:21:29 - mmengine - INFO - Epoch(train) [134][1620/1879] lr: 5.7849e-02 eta: 1 day, 8:29:42 time: 0.5066 data_time: 0.0335 memory: 18108 grad_norm: 3.4586 loss: 4.1378 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4289 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.7089 2023/02/01 21:21:39 - mmengine - INFO - Epoch(train) [134][1640/1879] lr: 5.7841e-02 eta: 1 day, 8:29:31 time: 0.4992 data_time: 0.0371 memory: 18108 grad_norm: 3.4665 loss: 4.0181 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.2691 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.7490 2023/02/01 21:21:50 - mmengine - INFO - Epoch(train) [134][1660/1879] lr: 5.7834e-02 eta: 1 day, 8:29:22 time: 0.5406 data_time: 0.0408 memory: 18108 grad_norm: 3.4966 loss: 3.9301 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2377 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.6924 2023/02/01 21:22:00 - mmengine - INFO - Epoch(train) [134][1680/1879] lr: 5.7826e-02 eta: 1 day, 8:29:11 time: 0.4995 data_time: 0.0369 memory: 18108 grad_norm: 3.5119 loss: 3.9876 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2839 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7037 2023/02/01 21:22:10 - mmengine - INFO - Epoch(train) [134][1700/1879] lr: 5.7819e-02 eta: 1 day, 8:29:01 time: 0.5006 data_time: 0.0322 memory: 18108 grad_norm: 3.4723 loss: 3.9217 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3229 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5988 2023/02/01 21:22:20 - mmengine - INFO - Epoch(train) [134][1720/1879] lr: 5.7811e-02 eta: 1 day, 8:28:51 time: 0.5025 data_time: 0.0368 memory: 18108 grad_norm: 3.5427 loss: 3.9173 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2986 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.6186 2023/02/01 21:22:30 - mmengine - INFO - Epoch(train) [134][1740/1879] lr: 5.7804e-02 eta: 1 day, 8:28:41 time: 0.5230 data_time: 0.0403 memory: 18108 grad_norm: 3.4178 loss: 3.9160 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2231 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.6929 2023/02/01 21:22:40 - mmengine - INFO - Epoch(train) [134][1760/1879] lr: 5.7796e-02 eta: 1 day, 8:28:30 time: 0.4950 data_time: 0.0358 memory: 18108 grad_norm: 3.4510 loss: 4.0240 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3744 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.6496 2023/02/01 21:22:50 - mmengine - INFO - Epoch(train) [134][1780/1879] lr: 5.7789e-02 eta: 1 day, 8:28:20 time: 0.5063 data_time: 0.0311 memory: 18108 grad_norm: 3.4240 loss: 3.9932 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3095 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.6837 2023/02/01 21:23:01 - mmengine - INFO - Epoch(train) [134][1800/1879] lr: 5.7782e-02 eta: 1 day, 8:28:10 time: 0.5262 data_time: 0.0502 memory: 18108 grad_norm: 3.5141 loss: 4.0315 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3707 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.6608 2023/02/01 21:23:11 - mmengine - INFO - Epoch(train) [134][1820/1879] lr: 5.7774e-02 eta: 1 day, 8:28:00 time: 0.5051 data_time: 0.0318 memory: 18108 grad_norm: 3.5203 loss: 4.2278 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.4526 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.7752 2023/02/01 21:23:21 - mmengine - INFO - Epoch(train) [134][1840/1879] lr: 5.7767e-02 eta: 1 day, 8:27:49 time: 0.4955 data_time: 0.0346 memory: 18108 grad_norm: 3.5861 loss: 4.0290 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.3313 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.6977 2023/02/01 21:23:31 - mmengine - INFO - Epoch(train) [134][1860/1879] lr: 5.7759e-02 eta: 1 day, 8:27:39 time: 0.5114 data_time: 0.0350 memory: 18108 grad_norm: 3.4916 loss: 4.1238 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3508 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.7730 2023/02/01 21:23:40 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 21:23:40 - mmengine - INFO - Epoch(train) [134][1879/1879] lr: 5.7752e-02 eta: 1 day, 8:27:29 time: 0.4904 data_time: 0.0380 memory: 18108 grad_norm: 3.6265 loss: 4.1574 top1_acc_0: 0.2857 top5_acc_0: 0.7143 loss_cls_0: 2.5014 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.6560 2023/02/01 21:23:55 - mmengine - INFO - Epoch(train) [135][ 20/1879] lr: 5.7745e-02 eta: 1 day, 8:27:23 time: 0.7148 data_time: 0.2540 memory: 18108 grad_norm: 3.4032 loss: 3.8791 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.2413 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.6378 2023/02/01 21:24:05 - mmengine - INFO - Epoch(train) [135][ 40/1879] lr: 5.7737e-02 eta: 1 day, 8:27:12 time: 0.4840 data_time: 0.0328 memory: 18108 grad_norm: 3.4730 loss: 3.7707 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1373 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.6334 2023/02/01 21:24:15 - mmengine - INFO - Epoch(train) [135][ 60/1879] lr: 5.7730e-02 eta: 1 day, 8:27:02 time: 0.4968 data_time: 0.0379 memory: 18108 grad_norm: 3.5179 loss: 3.8164 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.0732 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.7432 2023/02/01 21:24:25 - mmengine - INFO - Epoch(train) [135][ 80/1879] lr: 5.7722e-02 eta: 1 day, 8:26:52 time: 0.5140 data_time: 0.0320 memory: 18108 grad_norm: 3.4947 loss: 4.1269 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.4430 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.6839 2023/02/01 21:24:35 - mmengine - INFO - Epoch(train) [135][ 100/1879] lr: 5.7715e-02 eta: 1 day, 8:26:41 time: 0.4884 data_time: 0.0400 memory: 18108 grad_norm: 3.4138 loss: 3.8313 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2426 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.5887 2023/02/01 21:24:45 - mmengine - INFO - Epoch(train) [135][ 120/1879] lr: 5.7708e-02 eta: 1 day, 8:26:30 time: 0.4770 data_time: 0.0328 memory: 18108 grad_norm: 3.4472 loss: 3.7220 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1865 top1_acc_1: 0.6824 top5_acc_1: 0.7882 loss_cls_1: 1.5355 2023/02/01 21:24:55 - mmengine - INFO - Epoch(train) [135][ 140/1879] lr: 5.7700e-02 eta: 1 day, 8:26:20 time: 0.5062 data_time: 0.0441 memory: 18108 grad_norm: 3.4835 loss: 4.0853 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5509 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.5344 2023/02/01 21:25:05 - mmengine - INFO - Epoch(train) [135][ 160/1879] lr: 5.7693e-02 eta: 1 day, 8:26:09 time: 0.4947 data_time: 0.0316 memory: 18108 grad_norm: 3.4952 loss: 3.9225 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2366 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6859 2023/02/01 21:25:14 - mmengine - INFO - Epoch(train) [135][ 180/1879] lr: 5.7685e-02 eta: 1 day, 8:25:59 time: 0.4844 data_time: 0.0346 memory: 18108 grad_norm: 3.4372 loss: 3.6774 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0805 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.5969 2023/02/01 21:25:24 - mmengine - INFO - Epoch(train) [135][ 200/1879] lr: 5.7678e-02 eta: 1 day, 8:25:48 time: 0.4811 data_time: 0.0331 memory: 18108 grad_norm: 3.5366 loss: 3.8258 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1876 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.6382 2023/02/01 21:25:32 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 21:25:35 - mmengine - INFO - Epoch(train) [135][ 220/1879] lr: 5.7670e-02 eta: 1 day, 8:25:38 time: 0.5310 data_time: 0.0431 memory: 18108 grad_norm: 3.4891 loss: 3.9214 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2641 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6572 2023/02/01 21:25:44 - mmengine - INFO - Epoch(train) [135][ 240/1879] lr: 5.7663e-02 eta: 1 day, 8:25:28 time: 0.4863 data_time: 0.0337 memory: 18108 grad_norm: 3.5461 loss: 3.7553 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1712 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.5841 2023/02/01 21:25:54 - mmengine - INFO - Epoch(train) [135][ 260/1879] lr: 5.7655e-02 eta: 1 day, 8:25:17 time: 0.4979 data_time: 0.0363 memory: 18108 grad_norm: 3.4585 loss: 4.1312 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.4532 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.6780 2023/02/01 21:26:04 - mmengine - INFO - Epoch(train) [135][ 280/1879] lr: 5.7648e-02 eta: 1 day, 8:25:07 time: 0.5013 data_time: 0.0318 memory: 18108 grad_norm: 3.4447 loss: 3.9696 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3434 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.6262 2023/02/01 21:26:15 - mmengine - INFO - Epoch(train) [135][ 300/1879] lr: 5.7641e-02 eta: 1 day, 8:24:57 time: 0.5090 data_time: 0.0440 memory: 18108 grad_norm: 3.5342 loss: 3.9073 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2884 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.6189 2023/02/01 21:26:24 - mmengine - INFO - Epoch(train) [135][ 320/1879] lr: 5.7633e-02 eta: 1 day, 8:24:46 time: 0.4874 data_time: 0.0346 memory: 18108 grad_norm: 3.5500 loss: 4.0148 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.3326 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.6822 2023/02/01 21:26:35 - mmengine - INFO - Epoch(train) [135][ 340/1879] lr: 5.7626e-02 eta: 1 day, 8:24:36 time: 0.5051 data_time: 0.0376 memory: 18108 grad_norm: 3.5590 loss: 4.1732 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4919 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.6813 2023/02/01 21:26:44 - mmengine - INFO - Epoch(train) [135][ 360/1879] lr: 5.7618e-02 eta: 1 day, 8:24:25 time: 0.4922 data_time: 0.0394 memory: 18108 grad_norm: 3.5199 loss: 4.0231 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2516 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.7716 2023/02/01 21:26:55 - mmengine - INFO - Epoch(train) [135][ 380/1879] lr: 5.7611e-02 eta: 1 day, 8:24:15 time: 0.5052 data_time: 0.0339 memory: 18108 grad_norm: 3.5798 loss: 4.0683 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3573 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.7109 2023/02/01 21:27:04 - mmengine - INFO - Epoch(train) [135][ 400/1879] lr: 5.7603e-02 eta: 1 day, 8:24:04 time: 0.4899 data_time: 0.0331 memory: 18108 grad_norm: 3.5326 loss: 3.9699 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3799 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5900 2023/02/01 21:27:15 - mmengine - INFO - Epoch(train) [135][ 420/1879] lr: 5.7596e-02 eta: 1 day, 8:23:54 time: 0.5103 data_time: 0.0370 memory: 18108 grad_norm: 3.5308 loss: 4.2032 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5847 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.6185 2023/02/01 21:27:25 - mmengine - INFO - Epoch(train) [135][ 440/1879] lr: 5.7588e-02 eta: 1 day, 8:23:44 time: 0.4974 data_time: 0.0391 memory: 18108 grad_norm: 3.4725 loss: 3.8739 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2183 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6557 2023/02/01 21:27:35 - mmengine - INFO - Epoch(train) [135][ 460/1879] lr: 5.7581e-02 eta: 1 day, 8:23:34 time: 0.5066 data_time: 0.0375 memory: 18108 grad_norm: 3.4988 loss: 3.8970 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2735 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.6235 2023/02/01 21:27:44 - mmengine - INFO - Epoch(train) [135][ 480/1879] lr: 5.7574e-02 eta: 1 day, 8:23:23 time: 0.4898 data_time: 0.0337 memory: 18108 grad_norm: 3.4519 loss: 4.1152 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4009 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7143 2023/02/01 21:27:55 - mmengine - INFO - Epoch(train) [135][ 500/1879] lr: 5.7566e-02 eta: 1 day, 8:23:13 time: 0.5134 data_time: 0.0368 memory: 18108 grad_norm: 3.5125 loss: 4.0061 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3916 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.6145 2023/02/01 21:28:04 - mmengine - INFO - Epoch(train) [135][ 520/1879] lr: 5.7559e-02 eta: 1 day, 8:23:02 time: 0.4849 data_time: 0.0317 memory: 18108 grad_norm: 3.4822 loss: 3.6384 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0431 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.5953 2023/02/01 21:28:15 - mmengine - INFO - Epoch(train) [135][ 540/1879] lr: 5.7551e-02 eta: 1 day, 8:22:52 time: 0.5133 data_time: 0.0362 memory: 18108 grad_norm: 3.5175 loss: 3.9873 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3054 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.6820 2023/02/01 21:28:25 - mmengine - INFO - Epoch(train) [135][ 560/1879] lr: 5.7544e-02 eta: 1 day, 8:22:42 time: 0.4870 data_time: 0.0311 memory: 18108 grad_norm: 3.5506 loss: 3.7793 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1406 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.6388 2023/02/01 21:28:35 - mmengine - INFO - Epoch(train) [135][ 580/1879] lr: 5.7536e-02 eta: 1 day, 8:22:31 time: 0.5093 data_time: 0.0434 memory: 18108 grad_norm: 3.5118 loss: 3.9816 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2530 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.7286 2023/02/01 21:28:45 - mmengine - INFO - Epoch(train) [135][ 600/1879] lr: 5.7529e-02 eta: 1 day, 8:22:21 time: 0.4919 data_time: 0.0335 memory: 18108 grad_norm: 3.5547 loss: 4.1188 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.4261 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.6927 2023/02/01 21:28:55 - mmengine - INFO - Epoch(train) [135][ 620/1879] lr: 5.7521e-02 eta: 1 day, 8:22:11 time: 0.5148 data_time: 0.0357 memory: 18108 grad_norm: 3.4902 loss: 3.8715 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2212 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.6503 2023/02/01 21:29:05 - mmengine - INFO - Epoch(train) [135][ 640/1879] lr: 5.7514e-02 eta: 1 day, 8:22:00 time: 0.4903 data_time: 0.0335 memory: 18108 grad_norm: 3.5261 loss: 3.9562 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2723 top1_acc_1: 0.6353 top5_acc_1: 0.7294 loss_cls_1: 1.6839 2023/02/01 21:29:15 - mmengine - INFO - Epoch(train) [135][ 660/1879] lr: 5.7507e-02 eta: 1 day, 8:21:50 time: 0.5091 data_time: 0.0358 memory: 18108 grad_norm: 3.4870 loss: 3.7918 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0865 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.7054 2023/02/01 21:29:25 - mmengine - INFO - Epoch(train) [135][ 680/1879] lr: 5.7499e-02 eta: 1 day, 8:21:40 time: 0.4935 data_time: 0.0321 memory: 18108 grad_norm: 3.4759 loss: 3.8294 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1758 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.6536 2023/02/01 21:29:35 - mmengine - INFO - Epoch(train) [135][ 700/1879] lr: 5.7492e-02 eta: 1 day, 8:21:29 time: 0.4986 data_time: 0.0368 memory: 18108 grad_norm: 3.4940 loss: 4.0730 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3719 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.7012 2023/02/01 21:29:45 - mmengine - INFO - Epoch(train) [135][ 720/1879] lr: 5.7484e-02 eta: 1 day, 8:21:19 time: 0.4969 data_time: 0.0392 memory: 18108 grad_norm: 3.4925 loss: 3.9873 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2556 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7316 2023/02/01 21:29:55 - mmengine - INFO - Epoch(train) [135][ 740/1879] lr: 5.7477e-02 eta: 1 day, 8:21:08 time: 0.5017 data_time: 0.0369 memory: 18108 grad_norm: 3.4611 loss: 3.8282 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 2.2571 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.5712 2023/02/01 21:30:04 - mmengine - INFO - Epoch(train) [135][ 760/1879] lr: 5.7469e-02 eta: 1 day, 8:20:58 time: 0.4841 data_time: 0.0341 memory: 18108 grad_norm: 3.5251 loss: 4.0967 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3879 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7088 2023/02/01 21:30:15 - mmengine - INFO - Epoch(train) [135][ 780/1879] lr: 5.7462e-02 eta: 1 day, 8:20:48 time: 0.5149 data_time: 0.0431 memory: 18108 grad_norm: 3.4829 loss: 4.1423 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4344 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.7079 2023/02/01 21:30:25 - mmengine - INFO - Epoch(train) [135][ 800/1879] lr: 5.7454e-02 eta: 1 day, 8:20:37 time: 0.4911 data_time: 0.0320 memory: 18108 grad_norm: 3.5091 loss: 4.1441 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5118 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6322 2023/02/01 21:30:35 - mmengine - INFO - Epoch(train) [135][ 820/1879] lr: 5.7447e-02 eta: 1 day, 8:20:27 time: 0.5082 data_time: 0.0355 memory: 18108 grad_norm: 3.5226 loss: 4.1018 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.4345 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.6673 2023/02/01 21:30:45 - mmengine - INFO - Epoch(train) [135][ 840/1879] lr: 5.7440e-02 eta: 1 day, 8:20:16 time: 0.4911 data_time: 0.0314 memory: 18108 grad_norm: 3.5075 loss: 3.7948 top1_acc_0: 0.5000 top5_acc_0: 1.0000 loss_cls_0: 2.0282 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.7666 2023/02/01 21:30:55 - mmengine - INFO - Epoch(train) [135][ 860/1879] lr: 5.7432e-02 eta: 1 day, 8:20:06 time: 0.5196 data_time: 0.0435 memory: 18108 grad_norm: 3.5716 loss: 3.7876 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2041 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.5835 2023/02/01 21:31:05 - mmengine - INFO - Epoch(train) [135][ 880/1879] lr: 5.7425e-02 eta: 1 day, 8:19:56 time: 0.4920 data_time: 0.0308 memory: 18108 grad_norm: 3.5721 loss: 3.9410 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.2024 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.7386 2023/02/01 21:31:15 - mmengine - INFO - Epoch(train) [135][ 900/1879] lr: 5.7417e-02 eta: 1 day, 8:19:45 time: 0.5009 data_time: 0.0370 memory: 18108 grad_norm: 3.5924 loss: 3.9996 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.3377 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.6619 2023/02/01 21:31:25 - mmengine - INFO - Epoch(train) [135][ 920/1879] lr: 5.7410e-02 eta: 1 day, 8:19:35 time: 0.5194 data_time: 0.0377 memory: 18108 grad_norm: 3.5948 loss: 4.1182 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4114 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.7069 2023/02/01 21:31:36 - mmengine - INFO - Epoch(train) [135][ 940/1879] lr: 5.7402e-02 eta: 1 day, 8:19:25 time: 0.5130 data_time: 0.0373 memory: 18108 grad_norm: 3.5798 loss: 3.8897 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1853 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.7044 2023/02/01 21:31:46 - mmengine - INFO - Epoch(train) [135][ 960/1879] lr: 5.7395e-02 eta: 1 day, 8:19:15 time: 0.5018 data_time: 0.0316 memory: 18108 grad_norm: 3.5129 loss: 3.9011 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1568 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7443 2023/02/01 21:31:56 - mmengine - INFO - Epoch(train) [135][ 980/1879] lr: 5.7387e-02 eta: 1 day, 8:19:05 time: 0.5194 data_time: 0.0378 memory: 18108 grad_norm: 3.5817 loss: 4.2995 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4998 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.7996 2023/02/01 21:32:06 - mmengine - INFO - Epoch(train) [135][1000/1879] lr: 5.7380e-02 eta: 1 day, 8:18:55 time: 0.5148 data_time: 0.0331 memory: 18108 grad_norm: 3.5643 loss: 3.9497 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.2501 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.6996 2023/02/01 21:32:17 - mmengine - INFO - Epoch(train) [135][1020/1879] lr: 5.7373e-02 eta: 1 day, 8:18:45 time: 0.5053 data_time: 0.0365 memory: 18108 grad_norm: 3.5205 loss: 4.2439 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5928 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.6511 2023/02/01 21:32:27 - mmengine - INFO - Epoch(train) [135][1040/1879] lr: 5.7365e-02 eta: 1 day, 8:18:34 time: 0.4998 data_time: 0.0333 memory: 18108 grad_norm: 3.5391 loss: 4.1688 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3919 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7770 2023/02/01 21:32:37 - mmengine - INFO - Epoch(train) [135][1060/1879] lr: 5.7358e-02 eta: 1 day, 8:18:24 time: 0.5205 data_time: 0.0428 memory: 18108 grad_norm: 3.5711 loss: 3.9762 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3195 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.6566 2023/02/01 21:32:47 - mmengine - INFO - Epoch(train) [135][1080/1879] lr: 5.7350e-02 eta: 1 day, 8:18:14 time: 0.4945 data_time: 0.0314 memory: 18108 grad_norm: 3.5502 loss: 3.9662 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3653 top1_acc_1: 0.6000 top5_acc_1: 0.8941 loss_cls_1: 1.6009 2023/02/01 21:32:57 - mmengine - INFO - Epoch(train) [135][1100/1879] lr: 5.7343e-02 eta: 1 day, 8:18:03 time: 0.4997 data_time: 0.0382 memory: 18108 grad_norm: 3.5182 loss: 3.9763 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3038 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.6725 2023/02/01 21:33:07 - mmengine - INFO - Epoch(train) [135][1120/1879] lr: 5.7335e-02 eta: 1 day, 8:17:53 time: 0.4937 data_time: 0.0335 memory: 18108 grad_norm: 3.5462 loss: 3.9537 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2180 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.7357 2023/02/01 21:33:17 - mmengine - INFO - Epoch(train) [135][1140/1879] lr: 5.7328e-02 eta: 1 day, 8:17:43 time: 0.5100 data_time: 0.0427 memory: 18108 grad_norm: 3.5474 loss: 3.9697 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3002 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.6695 2023/02/01 21:33:27 - mmengine - INFO - Epoch(train) [135][1160/1879] lr: 5.7320e-02 eta: 1 day, 8:17:32 time: 0.4877 data_time: 0.0334 memory: 18108 grad_norm: 3.6009 loss: 4.0315 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.3618 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.6696 2023/02/01 21:33:37 - mmengine - INFO - Epoch(train) [135][1180/1879] lr: 5.7313e-02 eta: 1 day, 8:17:22 time: 0.4978 data_time: 0.0368 memory: 18108 grad_norm: 3.5211 loss: 4.1990 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4934 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7056 2023/02/01 21:33:47 - mmengine - INFO - Epoch(train) [135][1200/1879] lr: 5.7305e-02 eta: 1 day, 8:17:11 time: 0.5075 data_time: 0.0322 memory: 18108 grad_norm: 3.5766 loss: 4.0769 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 2.3948 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.6820 2023/02/01 21:33:54 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 21:33:57 - mmengine - INFO - Epoch(train) [135][1220/1879] lr: 5.7298e-02 eta: 1 day, 8:17:01 time: 0.4999 data_time: 0.0482 memory: 18108 grad_norm: 3.5300 loss: 4.1837 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4615 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.7222 2023/02/01 21:34:07 - mmengine - INFO - Epoch(train) [135][1240/1879] lr: 5.7291e-02 eta: 1 day, 8:16:51 time: 0.4937 data_time: 0.0347 memory: 18108 grad_norm: 3.4540 loss: 3.9440 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.2437 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.7003 2023/02/01 21:34:17 - mmengine - INFO - Epoch(train) [135][1260/1879] lr: 5.7283e-02 eta: 1 day, 8:16:40 time: 0.5110 data_time: 0.0387 memory: 18108 grad_norm: 3.5019 loss: 3.8010 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1472 top1_acc_1: 0.6824 top5_acc_1: 0.8000 loss_cls_1: 1.6538 2023/02/01 21:34:27 - mmengine - INFO - Epoch(train) [135][1280/1879] lr: 5.7276e-02 eta: 1 day, 8:16:30 time: 0.4979 data_time: 0.0399 memory: 18108 grad_norm: 3.4929 loss: 3.8507 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3007 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.5499 2023/02/01 21:34:37 - mmengine - INFO - Epoch(train) [135][1300/1879] lr: 5.7268e-02 eta: 1 day, 8:16:20 time: 0.4997 data_time: 0.0361 memory: 18108 grad_norm: 3.5374 loss: 4.0026 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3259 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.6767 2023/02/01 21:34:47 - mmengine - INFO - Epoch(train) [135][1320/1879] lr: 5.7261e-02 eta: 1 day, 8:16:09 time: 0.4993 data_time: 0.0331 memory: 18108 grad_norm: 3.4922 loss: 4.2145 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5218 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.6928 2023/02/01 21:34:57 - mmengine - INFO - Epoch(train) [135][1340/1879] lr: 5.7253e-02 eta: 1 day, 8:15:59 time: 0.5067 data_time: 0.0434 memory: 18108 grad_norm: 3.5598 loss: 4.1337 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4244 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.7093 2023/02/01 21:35:07 - mmengine - INFO - Epoch(train) [135][1360/1879] lr: 5.7246e-02 eta: 1 day, 8:15:49 time: 0.4956 data_time: 0.0319 memory: 18108 grad_norm: 3.4980 loss: 4.1437 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.4406 top1_acc_1: 0.5647 top5_acc_1: 0.8824 loss_cls_1: 1.7032 2023/02/01 21:35:17 - mmengine - INFO - Epoch(train) [135][1380/1879] lr: 5.7238e-02 eta: 1 day, 8:15:38 time: 0.4996 data_time: 0.0371 memory: 18108 grad_norm: 3.5534 loss: 4.2332 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5314 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.7019 2023/02/01 21:35:27 - mmengine - INFO - Epoch(train) [135][1400/1879] lr: 5.7231e-02 eta: 1 day, 8:15:28 time: 0.5001 data_time: 0.0298 memory: 18108 grad_norm: 3.5131 loss: 4.0386 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3561 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.6825 2023/02/01 21:35:37 - mmengine - INFO - Epoch(train) [135][1420/1879] lr: 5.7224e-02 eta: 1 day, 8:15:17 time: 0.4979 data_time: 0.0446 memory: 18108 grad_norm: 3.4799 loss: 4.1395 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.4117 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.7278 2023/02/01 21:35:47 - mmengine - INFO - Epoch(train) [135][1440/1879] lr: 5.7216e-02 eta: 1 day, 8:15:07 time: 0.5116 data_time: 0.0324 memory: 18108 grad_norm: 3.5155 loss: 3.9250 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.2508 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6742 2023/02/01 21:35:58 - mmengine - INFO - Epoch(train) [135][1460/1879] lr: 5.7209e-02 eta: 1 day, 8:14:57 time: 0.5109 data_time: 0.0379 memory: 18108 grad_norm: 3.4912 loss: 3.9863 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2931 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.6932 2023/02/01 21:36:07 - mmengine - INFO - Epoch(train) [135][1480/1879] lr: 5.7201e-02 eta: 1 day, 8:14:46 time: 0.4872 data_time: 0.0328 memory: 18108 grad_norm: 3.5540 loss: 4.0598 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4362 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.6236 2023/02/01 21:36:18 - mmengine - INFO - Epoch(train) [135][1500/1879] lr: 5.7194e-02 eta: 1 day, 8:14:36 time: 0.5113 data_time: 0.0455 memory: 18108 grad_norm: 3.4577 loss: 4.0396 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.3672 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6724 2023/02/01 21:36:28 - mmengine - INFO - Epoch(train) [135][1520/1879] lr: 5.7186e-02 eta: 1 day, 8:14:26 time: 0.4985 data_time: 0.0324 memory: 18108 grad_norm: 3.4986 loss: 3.9368 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2195 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.7174 2023/02/01 21:36:38 - mmengine - INFO - Epoch(train) [135][1540/1879] lr: 5.7179e-02 eta: 1 day, 8:14:15 time: 0.4959 data_time: 0.0375 memory: 18108 grad_norm: 3.5315 loss: 4.0569 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3565 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.7004 2023/02/01 21:36:47 - mmengine - INFO - Epoch(train) [135][1560/1879] lr: 5.7171e-02 eta: 1 day, 8:14:05 time: 0.4953 data_time: 0.0374 memory: 18108 grad_norm: 3.4864 loss: 3.9260 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.3086 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.6173 2023/02/01 21:36:58 - mmengine - INFO - Epoch(train) [135][1580/1879] lr: 5.7164e-02 eta: 1 day, 8:13:55 time: 0.5123 data_time: 0.0277 memory: 18108 grad_norm: 3.5394 loss: 4.1583 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4989 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.6595 2023/02/01 21:37:08 - mmengine - INFO - Epoch(train) [135][1600/1879] lr: 5.7156e-02 eta: 1 day, 8:13:45 time: 0.5078 data_time: 0.0384 memory: 18108 grad_norm: 3.5182 loss: 4.2116 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5072 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.7044 2023/02/01 21:37:18 - mmengine - INFO - Epoch(train) [135][1620/1879] lr: 5.7149e-02 eta: 1 day, 8:13:34 time: 0.5103 data_time: 0.0328 memory: 18108 grad_norm: 3.5201 loss: 3.8718 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1449 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7269 2023/02/01 21:37:28 - mmengine - INFO - Epoch(train) [135][1640/1879] lr: 5.7142e-02 eta: 1 day, 8:13:24 time: 0.4956 data_time: 0.0372 memory: 18108 grad_norm: 3.5137 loss: 3.9130 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2576 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.6554 2023/02/01 21:37:38 - mmengine - INFO - Epoch(train) [135][1660/1879] lr: 5.7134e-02 eta: 1 day, 8:13:14 time: 0.5206 data_time: 0.0313 memory: 18108 grad_norm: 3.5022 loss: 4.0765 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2875 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7890 2023/02/01 21:37:49 - mmengine - INFO - Epoch(train) [135][1680/1879] lr: 5.7127e-02 eta: 1 day, 8:13:04 time: 0.5022 data_time: 0.0375 memory: 18108 grad_norm: 3.5247 loss: 3.8934 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.2216 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.6718 2023/02/01 21:37:59 - mmengine - INFO - Epoch(train) [135][1700/1879] lr: 5.7119e-02 eta: 1 day, 8:12:54 time: 0.5137 data_time: 0.0365 memory: 18108 grad_norm: 3.5086 loss: 4.0423 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3739 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.6684 2023/02/01 21:38:09 - mmengine - INFO - Epoch(train) [135][1720/1879] lr: 5.7112e-02 eta: 1 day, 8:12:44 time: 0.5255 data_time: 0.0381 memory: 18108 grad_norm: 3.5173 loss: 4.1460 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4991 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.6469 2023/02/01 21:38:20 - mmengine - INFO - Epoch(train) [135][1740/1879] lr: 5.7104e-02 eta: 1 day, 8:12:33 time: 0.5104 data_time: 0.0312 memory: 18108 grad_norm: 3.4365 loss: 4.0505 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.2955 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.7551 2023/02/01 21:38:30 - mmengine - INFO - Epoch(train) [135][1760/1879] lr: 5.7097e-02 eta: 1 day, 8:12:23 time: 0.5183 data_time: 0.0430 memory: 18108 grad_norm: 3.4932 loss: 4.1053 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3881 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7172 2023/02/01 21:38:40 - mmengine - INFO - Epoch(train) [135][1780/1879] lr: 5.7089e-02 eta: 1 day, 8:12:13 time: 0.5034 data_time: 0.0309 memory: 18108 grad_norm: 3.4788 loss: 3.9863 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3355 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.6508 2023/02/01 21:38:50 - mmengine - INFO - Epoch(train) [135][1800/1879] lr: 5.7082e-02 eta: 1 day, 8:12:03 time: 0.5173 data_time: 0.0371 memory: 18108 grad_norm: 3.5138 loss: 3.9386 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2614 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6772 2023/02/01 21:39:01 - mmengine - INFO - Epoch(train) [135][1820/1879] lr: 5.7074e-02 eta: 1 day, 8:11:53 time: 0.5129 data_time: 0.0320 memory: 18108 grad_norm: 3.5110 loss: 4.2576 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5300 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.7276 2023/02/01 21:39:11 - mmengine - INFO - Epoch(train) [135][1840/1879] lr: 5.7067e-02 eta: 1 day, 8:11:43 time: 0.5091 data_time: 0.0424 memory: 18108 grad_norm: 3.4124 loss: 4.1279 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4229 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7050 2023/02/01 21:39:21 - mmengine - INFO - Epoch(train) [135][1860/1879] lr: 5.7060e-02 eta: 1 day, 8:11:33 time: 0.5227 data_time: 0.0301 memory: 18108 grad_norm: 3.4677 loss: 4.2563 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4546 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.8017 2023/02/01 21:39:31 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 21:39:31 - mmengine - INFO - Epoch(train) [135][1879/1879] lr: 5.7052e-02 eta: 1 day, 8:11:23 time: 0.4873 data_time: 0.0336 memory: 18108 grad_norm: 3.5665 loss: 4.1431 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 2.3134 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.8298 2023/02/01 21:39:45 - mmengine - INFO - Epoch(train) [136][ 20/1879] lr: 5.7045e-02 eta: 1 day, 8:11:16 time: 0.7082 data_time: 0.2555 memory: 18108 grad_norm: 3.4232 loss: 3.6343 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9879 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6464 2023/02/01 21:39:55 - mmengine - INFO - Epoch(train) [136][ 40/1879] lr: 5.7038e-02 eta: 1 day, 8:11:05 time: 0.4706 data_time: 0.0341 memory: 18108 grad_norm: 3.5632 loss: 3.9870 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3622 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.6248 2023/02/01 21:40:04 - mmengine - INFO - Epoch(train) [136][ 60/1879] lr: 5.7030e-02 eta: 1 day, 8:10:54 time: 0.4748 data_time: 0.0345 memory: 18108 grad_norm: 3.4863 loss: 3.7245 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1281 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.5964 2023/02/01 21:40:14 - mmengine - INFO - Epoch(train) [136][ 80/1879] lr: 5.7023e-02 eta: 1 day, 8:10:44 time: 0.5055 data_time: 0.0428 memory: 18108 grad_norm: 3.4975 loss: 3.8972 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.2424 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.6548 2023/02/01 21:40:24 - mmengine - INFO - Epoch(train) [136][ 100/1879] lr: 5.7015e-02 eta: 1 day, 8:10:33 time: 0.4791 data_time: 0.0372 memory: 18108 grad_norm: 3.4521 loss: 3.9681 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3800 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.5882 2023/02/01 21:40:34 - mmengine - INFO - Epoch(train) [136][ 120/1879] lr: 5.7008e-02 eta: 1 day, 8:10:23 time: 0.4769 data_time: 0.0360 memory: 18108 grad_norm: 3.5053 loss: 3.7688 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1448 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.6240 2023/02/01 21:40:44 - mmengine - INFO - Epoch(train) [136][ 140/1879] lr: 5.7000e-02 eta: 1 day, 8:10:12 time: 0.4972 data_time: 0.0385 memory: 18108 grad_norm: 3.6305 loss: 3.9476 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2844 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.6632 2023/02/01 21:40:54 - mmengine - INFO - Epoch(train) [136][ 160/1879] lr: 5.6993e-02 eta: 1 day, 8:10:02 time: 0.5028 data_time: 0.0362 memory: 18108 grad_norm: 3.5015 loss: 3.8600 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.1923 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.6677 2023/02/01 21:41:03 - mmengine - INFO - Epoch(train) [136][ 180/1879] lr: 5.6985e-02 eta: 1 day, 8:09:51 time: 0.4904 data_time: 0.0321 memory: 18108 grad_norm: 3.5383 loss: 3.8422 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2700 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.5722 2023/02/01 21:41:13 - mmengine - INFO - Epoch(train) [136][ 200/1879] lr: 5.6978e-02 eta: 1 day, 8:09:41 time: 0.4895 data_time: 0.0366 memory: 18108 grad_norm: 3.5112 loss: 3.8378 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.1599 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.6780 2023/02/01 21:41:23 - mmengine - INFO - Epoch(train) [136][ 220/1879] lr: 5.6970e-02 eta: 1 day, 8:09:30 time: 0.5048 data_time: 0.0367 memory: 18108 grad_norm: 3.5308 loss: 3.9801 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3795 top1_acc_1: 0.6706 top5_acc_1: 0.7882 loss_cls_1: 1.6006 2023/02/01 21:41:33 - mmengine - INFO - Epoch(train) [136][ 240/1879] lr: 5.6963e-02 eta: 1 day, 8:09:20 time: 0.4896 data_time: 0.0359 memory: 18108 grad_norm: 3.5157 loss: 4.1912 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5362 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.6550 2023/02/01 21:41:43 - mmengine - INFO - Epoch(train) [136][ 260/1879] lr: 5.6955e-02 eta: 1 day, 8:09:10 time: 0.5037 data_time: 0.0353 memory: 18108 grad_norm: 3.4845 loss: 4.0147 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3839 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.6308 2023/02/01 21:41:54 - mmengine - INFO - Epoch(train) [136][ 280/1879] lr: 5.6948e-02 eta: 1 day, 8:09:00 time: 0.5206 data_time: 0.0440 memory: 18108 grad_norm: 3.5686 loss: 3.7541 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1132 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.6409 2023/02/01 21:42:04 - mmengine - INFO - Epoch(train) [136][ 300/1879] lr: 5.6941e-02 eta: 1 day, 8:08:49 time: 0.5146 data_time: 0.0323 memory: 18108 grad_norm: 3.5366 loss: 4.1213 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4498 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.6716 2023/02/01 21:42:14 - mmengine - INFO - Epoch(train) [136][ 320/1879] lr: 5.6933e-02 eta: 1 day, 8:08:39 time: 0.5019 data_time: 0.0363 memory: 18108 grad_norm: 3.5253 loss: 4.2564 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4913 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7651 2023/02/01 21:42:22 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 21:42:24 - mmengine - INFO - Epoch(train) [136][ 340/1879] lr: 5.6926e-02 eta: 1 day, 8:08:29 time: 0.5041 data_time: 0.0331 memory: 18108 grad_norm: 3.5500 loss: 4.2847 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6703 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.6144 2023/02/01 21:42:35 - mmengine - INFO - Epoch(train) [136][ 360/1879] lr: 5.6918e-02 eta: 1 day, 8:08:19 time: 0.5192 data_time: 0.0414 memory: 18108 grad_norm: 3.4915 loss: 4.0880 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4436 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.6444 2023/02/01 21:42:44 - mmengine - INFO - Epoch(train) [136][ 380/1879] lr: 5.6911e-02 eta: 1 day, 8:08:08 time: 0.4934 data_time: 0.0348 memory: 18108 grad_norm: 3.4886 loss: 3.9377 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3613 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.5764 2023/02/01 21:42:54 - mmengine - INFO - Epoch(train) [136][ 400/1879] lr: 5.6903e-02 eta: 1 day, 8:07:58 time: 0.5000 data_time: 0.0340 memory: 18108 grad_norm: 3.5965 loss: 3.8863 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2242 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.6621 2023/02/01 21:43:05 - mmengine - INFO - Epoch(train) [136][ 420/1879] lr: 5.6896e-02 eta: 1 day, 8:07:48 time: 0.5076 data_time: 0.0356 memory: 18108 grad_norm: 3.5102 loss: 4.0368 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.4260 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.6108 2023/02/01 21:43:15 - mmengine - INFO - Epoch(train) [136][ 440/1879] lr: 5.6888e-02 eta: 1 day, 8:07:38 time: 0.5142 data_time: 0.0362 memory: 18108 grad_norm: 3.4527 loss: 3.7413 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1258 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.6155 2023/02/01 21:43:25 - mmengine - INFO - Epoch(train) [136][ 460/1879] lr: 5.6881e-02 eta: 1 day, 8:07:27 time: 0.5001 data_time: 0.0338 memory: 18108 grad_norm: 3.5679 loss: 3.9132 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1935 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7197 2023/02/01 21:43:35 - mmengine - INFO - Epoch(train) [136][ 480/1879] lr: 5.6873e-02 eta: 1 day, 8:07:17 time: 0.5088 data_time: 0.0361 memory: 18108 grad_norm: 3.4807 loss: 4.0257 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4199 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.6058 2023/02/01 21:43:45 - mmengine - INFO - Epoch(train) [136][ 500/1879] lr: 5.6866e-02 eta: 1 day, 8:07:07 time: 0.5144 data_time: 0.0394 memory: 18108 grad_norm: 3.4973 loss: 3.8407 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2696 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5711 2023/02/01 21:43:55 - mmengine - INFO - Epoch(train) [136][ 520/1879] lr: 5.6859e-02 eta: 1 day, 8:06:57 time: 0.5002 data_time: 0.0342 memory: 18108 grad_norm: 3.5619 loss: 3.8990 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.2400 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.6590 2023/02/01 21:44:06 - mmengine - INFO - Epoch(train) [136][ 540/1879] lr: 5.6851e-02 eta: 1 day, 8:06:46 time: 0.5062 data_time: 0.0345 memory: 18108 grad_norm: 3.5160 loss: 4.0751 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3751 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7000 2023/02/01 21:44:16 - mmengine - INFO - Epoch(train) [136][ 560/1879] lr: 5.6844e-02 eta: 1 day, 8:06:36 time: 0.5167 data_time: 0.0359 memory: 18108 grad_norm: 3.4913 loss: 3.8894 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2118 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.6776 2023/02/01 21:44:26 - mmengine - INFO - Epoch(train) [136][ 580/1879] lr: 5.6836e-02 eta: 1 day, 8:06:26 time: 0.5135 data_time: 0.0418 memory: 18108 grad_norm: 3.4853 loss: 3.9056 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.3434 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.5622 2023/02/01 21:44:36 - mmengine - INFO - Epoch(train) [136][ 600/1879] lr: 5.6829e-02 eta: 1 day, 8:06:16 time: 0.5094 data_time: 0.0359 memory: 18108 grad_norm: 3.5568 loss: 4.0210 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3643 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.6567 2023/02/01 21:44:47 - mmengine - INFO - Epoch(train) [136][ 620/1879] lr: 5.6821e-02 eta: 1 day, 8:06:06 time: 0.5124 data_time: 0.0348 memory: 18108 grad_norm: 3.5223 loss: 4.1991 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4901 top1_acc_1: 0.4941 top5_acc_1: 0.8471 loss_cls_1: 1.7090 2023/02/01 21:44:57 - mmengine - INFO - Epoch(train) [136][ 640/1879] lr: 5.6814e-02 eta: 1 day, 8:05:56 time: 0.5073 data_time: 0.0444 memory: 18108 grad_norm: 3.5138 loss: 3.9019 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2478 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.6541 2023/02/01 21:45:07 - mmengine - INFO - Epoch(train) [136][ 660/1879] lr: 5.6806e-02 eta: 1 day, 8:05:45 time: 0.5040 data_time: 0.0338 memory: 18108 grad_norm: 3.5524 loss: 3.8312 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2225 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.6086 2023/02/01 21:45:17 - mmengine - INFO - Epoch(train) [136][ 680/1879] lr: 5.6799e-02 eta: 1 day, 8:05:35 time: 0.5044 data_time: 0.0346 memory: 18108 grad_norm: 3.6235 loss: 4.0784 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.3585 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.7199 2023/02/01 21:45:27 - mmengine - INFO - Epoch(train) [136][ 700/1879] lr: 5.6791e-02 eta: 1 day, 8:05:25 time: 0.5122 data_time: 0.0322 memory: 18108 grad_norm: 3.5176 loss: 3.9801 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2270 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.7531 2023/02/01 21:45:38 - mmengine - INFO - Epoch(train) [136][ 720/1879] lr: 5.6784e-02 eta: 1 day, 8:05:15 time: 0.5086 data_time: 0.0415 memory: 18108 grad_norm: 3.5355 loss: 4.0172 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2890 top1_acc_1: 0.6588 top5_acc_1: 0.7882 loss_cls_1: 1.7282 2023/02/01 21:45:48 - mmengine - INFO - Epoch(train) [136][ 740/1879] lr: 5.6776e-02 eta: 1 day, 8:05:04 time: 0.5091 data_time: 0.0337 memory: 18108 grad_norm: 3.5858 loss: 4.0260 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.3502 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6757 2023/02/01 21:45:58 - mmengine - INFO - Epoch(train) [136][ 760/1879] lr: 5.6769e-02 eta: 1 day, 8:04:54 time: 0.5192 data_time: 0.0354 memory: 18108 grad_norm: 3.5693 loss: 4.0543 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.3646 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6897 2023/02/01 21:46:08 - mmengine - INFO - Epoch(train) [136][ 780/1879] lr: 5.6762e-02 eta: 1 day, 8:04:44 time: 0.5015 data_time: 0.0331 memory: 18108 grad_norm: 3.5612 loss: 3.8646 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2019 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.6627 2023/02/01 21:46:18 - mmengine - INFO - Epoch(train) [136][ 800/1879] lr: 5.6754e-02 eta: 1 day, 8:04:34 time: 0.5113 data_time: 0.0368 memory: 18108 grad_norm: 3.4705 loss: 3.9268 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2911 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.6358 2023/02/01 21:46:29 - mmengine - INFO - Epoch(train) [136][ 820/1879] lr: 5.6747e-02 eta: 1 day, 8:04:24 time: 0.5155 data_time: 0.0338 memory: 18108 grad_norm: 3.5466 loss: 3.8412 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1579 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.6833 2023/02/01 21:46:39 - mmengine - INFO - Epoch(train) [136][ 840/1879] lr: 5.6739e-02 eta: 1 day, 8:04:14 time: 0.5089 data_time: 0.0354 memory: 18108 grad_norm: 3.5638 loss: 4.1615 top1_acc_0: 0.0625 top5_acc_0: 0.5625 loss_cls_0: 2.4090 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.7525 2023/02/01 21:46:49 - mmengine - INFO - Epoch(train) [136][ 860/1879] lr: 5.6732e-02 eta: 1 day, 8:04:04 time: 0.5180 data_time: 0.0405 memory: 18108 grad_norm: 3.6313 loss: 3.9139 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2580 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6559 2023/02/01 21:46:59 - mmengine - INFO - Epoch(train) [136][ 880/1879] lr: 5.6724e-02 eta: 1 day, 8:03:53 time: 0.5053 data_time: 0.0359 memory: 18108 grad_norm: 3.6139 loss: 4.0635 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3468 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.7168 2023/02/01 21:47:10 - mmengine - INFO - Epoch(train) [136][ 900/1879] lr: 5.6717e-02 eta: 1 day, 8:03:43 time: 0.5146 data_time: 0.0327 memory: 18108 grad_norm: 3.5733 loss: 4.0102 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.2433 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7669 2023/02/01 21:47:20 - mmengine - INFO - Epoch(train) [136][ 920/1879] lr: 5.6709e-02 eta: 1 day, 8:03:33 time: 0.5103 data_time: 0.0419 memory: 18108 grad_norm: 3.5010 loss: 4.2206 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5108 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.7097 2023/02/01 21:47:30 - mmengine - INFO - Epoch(train) [136][ 940/1879] lr: 5.6702e-02 eta: 1 day, 8:03:23 time: 0.5194 data_time: 0.0339 memory: 18108 grad_norm: 3.4641 loss: 3.7029 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0394 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.6636 2023/02/01 21:47:41 - mmengine - INFO - Epoch(train) [136][ 960/1879] lr: 5.6694e-02 eta: 1 day, 8:03:13 time: 0.5244 data_time: 0.0342 memory: 18108 grad_norm: 3.5200 loss: 3.8265 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.1605 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.6660 2023/02/01 21:47:51 - mmengine - INFO - Epoch(train) [136][ 980/1879] lr: 5.6687e-02 eta: 1 day, 8:03:03 time: 0.5073 data_time: 0.0344 memory: 18108 grad_norm: 3.5120 loss: 3.9273 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3024 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.6249 2023/02/01 21:48:02 - mmengine - INFO - Epoch(train) [136][1000/1879] lr: 5.6679e-02 eta: 1 day, 8:02:53 time: 0.5243 data_time: 0.0359 memory: 18108 grad_norm: 3.5525 loss: 4.1855 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4686 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7170 2023/02/01 21:48:12 - mmengine - INFO - Epoch(train) [136][1020/1879] lr: 5.6672e-02 eta: 1 day, 8:02:43 time: 0.5289 data_time: 0.0336 memory: 18108 grad_norm: 3.4648 loss: 3.8177 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2773 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.5404 2023/02/01 21:48:23 - mmengine - INFO - Epoch(train) [136][1040/1879] lr: 5.6665e-02 eta: 1 day, 8:02:33 time: 0.5159 data_time: 0.0366 memory: 18108 grad_norm: 3.5265 loss: 3.9380 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2094 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.7286 2023/02/01 21:48:33 - mmengine - INFO - Epoch(train) [136][1060/1879] lr: 5.6657e-02 eta: 1 day, 8:02:23 time: 0.5195 data_time: 0.0309 memory: 18108 grad_norm: 3.5234 loss: 4.0074 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3194 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.6880 2023/02/01 21:48:43 - mmengine - INFO - Epoch(train) [136][1080/1879] lr: 5.6650e-02 eta: 1 day, 8:02:13 time: 0.5215 data_time: 0.0348 memory: 18108 grad_norm: 3.6031 loss: 4.2781 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5140 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.7641 2023/02/01 21:48:54 - mmengine - INFO - Epoch(train) [136][1100/1879] lr: 5.6642e-02 eta: 1 day, 8:02:03 time: 0.5321 data_time: 0.0319 memory: 18108 grad_norm: 3.5747 loss: 3.8847 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2747 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.6100 2023/02/01 21:49:04 - mmengine - INFO - Epoch(train) [136][1120/1879] lr: 5.6635e-02 eta: 1 day, 8:01:53 time: 0.5071 data_time: 0.0357 memory: 18108 grad_norm: 3.5487 loss: 3.8663 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.2656 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.6007 2023/02/01 21:49:15 - mmengine - INFO - Epoch(train) [136][1140/1879] lr: 5.6627e-02 eta: 1 day, 8:01:43 time: 0.5309 data_time: 0.0320 memory: 18108 grad_norm: 3.5634 loss: 3.8872 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2115 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.6757 2023/02/01 21:49:25 - mmengine - INFO - Epoch(train) [136][1160/1879] lr: 5.6620e-02 eta: 1 day, 8:01:33 time: 0.5285 data_time: 0.0412 memory: 18108 grad_norm: 3.5130 loss: 3.9531 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2842 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.6689 2023/02/01 21:49:36 - mmengine - INFO - Epoch(train) [136][1180/1879] lr: 5.6612e-02 eta: 1 day, 8:01:23 time: 0.5204 data_time: 0.0311 memory: 18108 grad_norm: 3.5625 loss: 3.9001 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 2.2286 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.6715 2023/02/01 21:49:46 - mmengine - INFO - Epoch(train) [136][1200/1879] lr: 5.6605e-02 eta: 1 day, 8:01:13 time: 0.5298 data_time: 0.0362 memory: 18108 grad_norm: 3.5233 loss: 4.1918 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5325 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.6593 2023/02/01 21:49:57 - mmengine - INFO - Epoch(train) [136][1220/1879] lr: 5.6597e-02 eta: 1 day, 8:01:04 time: 0.5404 data_time: 0.0410 memory: 18108 grad_norm: 3.5870 loss: 4.1077 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.4658 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6419 2023/02/01 21:50:08 - mmengine - INFO - Epoch(train) [136][1240/1879] lr: 5.6590e-02 eta: 1 day, 8:00:54 time: 0.5271 data_time: 0.0359 memory: 18108 grad_norm: 3.5315 loss: 3.9119 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2852 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.6266 2023/02/01 21:50:18 - mmengine - INFO - Epoch(train) [136][1260/1879] lr: 5.6582e-02 eta: 1 day, 8:00:44 time: 0.5327 data_time: 0.0304 memory: 18108 grad_norm: 3.5870 loss: 3.9317 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2433 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.6884 2023/02/01 21:50:29 - mmengine - INFO - Epoch(train) [136][1280/1879] lr: 5.6575e-02 eta: 1 day, 8:00:34 time: 0.5303 data_time: 0.0377 memory: 18108 grad_norm: 3.5030 loss: 4.0061 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2948 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.7112 2023/02/01 21:50:40 - mmengine - INFO - Epoch(train) [136][1300/1879] lr: 5.6567e-02 eta: 1 day, 8:00:24 time: 0.5312 data_time: 0.0317 memory: 18108 grad_norm: 3.5159 loss: 4.1710 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5196 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.6514 2023/02/01 21:50:50 - mmengine - INFO - Epoch(train) [136][1320/1879] lr: 5.6560e-02 eta: 1 day, 8:00:14 time: 0.5262 data_time: 0.0349 memory: 18108 grad_norm: 3.4879 loss: 3.6564 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0012 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6551 2023/02/01 21:50:58 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 21:51:01 - mmengine - INFO - Epoch(train) [136][1340/1879] lr: 5.6553e-02 eta: 1 day, 8:00:04 time: 0.5174 data_time: 0.0323 memory: 18108 grad_norm: 3.5725 loss: 4.0895 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.4758 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.6138 2023/02/01 21:51:11 - mmengine - INFO - Epoch(train) [136][1360/1879] lr: 5.6545e-02 eta: 1 day, 7:59:55 time: 0.5371 data_time: 0.0351 memory: 18108 grad_norm: 3.5256 loss: 3.8958 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1887 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.7072 2023/02/01 21:51:22 - mmengine - INFO - Epoch(train) [136][1380/1879] lr: 5.6538e-02 eta: 1 day, 7:59:45 time: 0.5209 data_time: 0.0309 memory: 18108 grad_norm: 3.5666 loss: 4.0713 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4191 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.6522 2023/02/01 21:51:32 - mmengine - INFO - Epoch(train) [136][1400/1879] lr: 5.6530e-02 eta: 1 day, 7:59:35 time: 0.5269 data_time: 0.0336 memory: 18108 grad_norm: 3.4995 loss: 4.0200 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.3440 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.6759 2023/02/01 21:51:43 - mmengine - INFO - Epoch(train) [136][1420/1879] lr: 5.6523e-02 eta: 1 day, 7:59:25 time: 0.5295 data_time: 0.0315 memory: 18108 grad_norm: 3.5331 loss: 3.9756 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3602 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.6154 2023/02/01 21:51:53 - mmengine - INFO - Epoch(train) [136][1440/1879] lr: 5.6515e-02 eta: 1 day, 7:59:15 time: 0.5227 data_time: 0.0426 memory: 18108 grad_norm: 3.4752 loss: 3.8547 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1454 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.7093 2023/02/01 21:52:04 - mmengine - INFO - Epoch(train) [136][1460/1879] lr: 5.6508e-02 eta: 1 day, 7:59:05 time: 0.5237 data_time: 0.0324 memory: 18108 grad_norm: 3.5593 loss: 3.9837 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.3646 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.6191 2023/02/01 21:52:15 - mmengine - INFO - Epoch(train) [136][1480/1879] lr: 5.6500e-02 eta: 1 day, 7:58:55 time: 0.5295 data_time: 0.0375 memory: 18108 grad_norm: 3.5927 loss: 4.2950 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5772 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7179 2023/02/01 21:52:25 - mmengine - INFO - Epoch(train) [136][1500/1879] lr: 5.6493e-02 eta: 1 day, 7:58:45 time: 0.5171 data_time: 0.0322 memory: 18108 grad_norm: 3.5150 loss: 4.4297 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.7483 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.6814 2023/02/01 21:52:35 - mmengine - INFO - Epoch(train) [136][1520/1879] lr: 5.6485e-02 eta: 1 day, 7:58:35 time: 0.5185 data_time: 0.0414 memory: 18108 grad_norm: 3.5395 loss: 3.8916 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2946 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5970 2023/02/01 21:52:46 - mmengine - INFO - Epoch(train) [136][1540/1879] lr: 5.6478e-02 eta: 1 day, 7:58:25 time: 0.5106 data_time: 0.0324 memory: 18108 grad_norm: 3.6146 loss: 3.9479 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2393 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.7086 2023/02/01 21:52:56 - mmengine - INFO - Epoch(train) [136][1560/1879] lr: 5.6470e-02 eta: 1 day, 7:58:15 time: 0.5217 data_time: 0.0363 memory: 18108 grad_norm: 3.3815 loss: 3.8319 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1938 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.6381 2023/02/01 21:53:07 - mmengine - INFO - Epoch(train) [136][1580/1879] lr: 5.6463e-02 eta: 1 day, 7:58:05 time: 0.5294 data_time: 0.0341 memory: 18108 grad_norm: 3.4627 loss: 4.0910 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4502 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.6408 2023/02/01 21:53:17 - mmengine - INFO - Epoch(train) [136][1600/1879] lr: 5.6455e-02 eta: 1 day, 7:57:55 time: 0.5215 data_time: 0.0434 memory: 18108 grad_norm: 3.5055 loss: 4.2500 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5045 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7456 2023/02/01 21:53:27 - mmengine - INFO - Epoch(train) [136][1620/1879] lr: 5.6448e-02 eta: 1 day, 7:57:45 time: 0.5211 data_time: 0.0326 memory: 18108 grad_norm: 3.5451 loss: 3.9489 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2459 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.7030 2023/02/01 21:53:38 - mmengine - INFO - Epoch(train) [136][1640/1879] lr: 5.6441e-02 eta: 1 day, 7:57:35 time: 0.5198 data_time: 0.0344 memory: 18108 grad_norm: 3.4944 loss: 4.2334 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 2.5669 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.6665 2023/02/01 21:55:24 - mmengine - INFO - Epoch(train) [136][1660/1879] lr: 5.6433e-02 eta: 1 day, 7:58:49 time: 5.2839 data_time: 0.0327 memory: 18108 grad_norm: 3.5791 loss: 4.1398 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.3334 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.8065 2023/02/01 21:55:34 - mmengine - INFO - Epoch(train) [136][1680/1879] lr: 5.6426e-02 eta: 1 day, 7:58:40 time: 0.5413 data_time: 0.0442 memory: 18108 grad_norm: 3.5802 loss: 4.2827 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5715 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7112 2023/02/01 21:55:45 - mmengine - INFO - Epoch(train) [136][1700/1879] lr: 5.6418e-02 eta: 1 day, 7:58:30 time: 0.5349 data_time: 0.0303 memory: 18108 grad_norm: 3.5030 loss: 3.9735 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4671 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.5064 2023/02/01 21:55:56 - mmengine - INFO - Epoch(train) [136][1720/1879] lr: 5.6411e-02 eta: 1 day, 7:58:20 time: 0.5363 data_time: 0.0367 memory: 18108 grad_norm: 3.5394 loss: 3.9056 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.2938 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.6117 2023/02/01 21:56:07 - mmengine - INFO - Epoch(train) [136][1740/1879] lr: 5.6403e-02 eta: 1 day, 7:58:10 time: 0.5309 data_time: 0.0402 memory: 18108 grad_norm: 3.5524 loss: 4.2310 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.6146 top1_acc_1: 0.6118 top5_acc_1: 0.7529 loss_cls_1: 1.6163 2023/02/01 21:56:17 - mmengine - INFO - Epoch(train) [136][1760/1879] lr: 5.6396e-02 eta: 1 day, 7:58:00 time: 0.5240 data_time: 0.0368 memory: 18108 grad_norm: 3.5590 loss: 4.2339 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4512 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.7827 2023/02/01 21:56:28 - mmengine - INFO - Epoch(train) [136][1780/1879] lr: 5.6388e-02 eta: 1 day, 7:57:50 time: 0.5262 data_time: 0.0304 memory: 18108 grad_norm: 3.4929 loss: 4.0528 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4185 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.6343 2023/02/01 21:56:38 - mmengine - INFO - Epoch(train) [136][1800/1879] lr: 5.6381e-02 eta: 1 day, 7:57:40 time: 0.5187 data_time: 0.0364 memory: 18108 grad_norm: 3.5219 loss: 4.0580 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.3156 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7425 2023/02/01 21:56:48 - mmengine - INFO - Epoch(train) [136][1820/1879] lr: 5.6373e-02 eta: 1 day, 7:57:30 time: 0.5257 data_time: 0.0388 memory: 18108 grad_norm: 3.5380 loss: 4.3446 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.5780 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7666 2023/02/01 21:56:59 - mmengine - INFO - Epoch(train) [136][1840/1879] lr: 5.6366e-02 eta: 1 day, 7:57:20 time: 0.5103 data_time: 0.0365 memory: 18108 grad_norm: 3.4967 loss: 3.9016 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2109 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.6907 2023/02/01 21:57:09 - mmengine - INFO - Epoch(train) [136][1860/1879] lr: 5.6358e-02 eta: 1 day, 7:57:10 time: 0.5268 data_time: 0.0305 memory: 18108 grad_norm: 3.5369 loss: 3.8896 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2176 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.6719 2023/02/01 21:57:19 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 21:57:19 - mmengine - INFO - Epoch(train) [136][1879/1879] lr: 5.6351e-02 eta: 1 day, 7:57:01 time: 0.5007 data_time: 0.0443 memory: 18108 grad_norm: 3.6628 loss: 4.1885 top1_acc_0: 0.4286 top5_acc_0: 0.8571 loss_cls_0: 2.4417 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.7468 2023/02/01 21:57:19 - mmengine - INFO - Saving checkpoint at 136 epochs 2023/02/01 21:57:30 - mmengine - INFO - Epoch(val) [136][ 20/155] eta: 0:01:01 time: 0.4548 data_time: 0.3415 memory: 1906 2023/02/01 21:57:39 - mmengine - INFO - Epoch(val) [136][ 40/155] eta: 0:00:52 time: 0.4560 data_time: 0.3437 memory: 1906 2023/02/01 21:57:48 - mmengine - INFO - Epoch(val) [136][ 60/155] eta: 0:00:42 time: 0.4182 data_time: 0.3076 memory: 1906 2023/02/01 21:57:57 - mmengine - INFO - Epoch(val) [136][ 80/155] eta: 0:00:33 time: 0.4608 data_time: 0.3507 memory: 1906 2023/02/01 21:58:06 - mmengine - INFO - Epoch(val) [136][100/155] eta: 0:00:24 time: 0.4485 data_time: 0.3382 memory: 1906 2023/02/01 21:58:15 - mmengine - INFO - Epoch(val) [136][120/155] eta: 0:00:15 time: 0.4677 data_time: 0.3572 memory: 1906 2023/02/01 21:58:24 - mmengine - INFO - Epoch(val) [136][140/155] eta: 0:00:06 time: 0.4373 data_time: 0.3252 memory: 1906 2023/02/01 21:58:31 - mmengine - INFO - Epoch(val) [136][155/155] acc/top1: 0.5099 acc/top5: 0.7605 acc/mean1: 0.5099 2023/02/01 21:58:31 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_132.pth is removed 2023/02/01 21:58:33 - mmengine - INFO - The best checkpoint with 0.5099 acc/top1 at 136 epoch is saved to best_acc/top1_epoch_136.pth. 2023/02/01 21:58:47 - mmengine - INFO - Epoch(train) [137][ 20/1879] lr: 5.6344e-02 eta: 1 day, 7:56:54 time: 0.6929 data_time: 0.2355 memory: 18108 grad_norm: 3.4505 loss: 3.7944 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2133 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.5812 2023/02/01 21:58:57 - mmengine - INFO - Epoch(train) [137][ 40/1879] lr: 5.6336e-02 eta: 1 day, 7:56:43 time: 0.4791 data_time: 0.0308 memory: 18108 grad_norm: 3.5086 loss: 3.8708 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2864 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5844 2023/02/01 21:59:07 - mmengine - INFO - Epoch(train) [137][ 60/1879] lr: 5.6329e-02 eta: 1 day, 7:56:33 time: 0.5099 data_time: 0.0392 memory: 18108 grad_norm: 3.5164 loss: 4.0823 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.3928 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.6895 2023/02/01 21:59:17 - mmengine - INFO - Epoch(train) [137][ 80/1879] lr: 5.6321e-02 eta: 1 day, 7:56:23 time: 0.5179 data_time: 0.0396 memory: 18108 grad_norm: 3.5047 loss: 3.9195 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.2601 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.6594 2023/02/01 21:59:27 - mmengine - INFO - Epoch(train) [137][ 100/1879] lr: 5.6314e-02 eta: 1 day, 7:56:12 time: 0.4950 data_time: 0.0393 memory: 18108 grad_norm: 3.6161 loss: 3.9676 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.3658 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.6017 2023/02/01 21:59:37 - mmengine - INFO - Epoch(train) [137][ 120/1879] lr: 5.6306e-02 eta: 1 day, 7:56:01 time: 0.4779 data_time: 0.0314 memory: 18108 grad_norm: 3.5653 loss: 4.0964 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5161 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.5802 2023/02/01 21:59:48 - mmengine - INFO - Epoch(train) [137][ 140/1879] lr: 5.6299e-02 eta: 1 day, 7:55:52 time: 0.5400 data_time: 0.0372 memory: 18108 grad_norm: 3.5074 loss: 3.8019 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1831 top1_acc_1: 0.5647 top5_acc_1: 0.8706 loss_cls_1: 1.6188 2023/02/01 21:59:58 - mmengine - INFO - Epoch(train) [137][ 160/1879] lr: 5.6291e-02 eta: 1 day, 7:55:41 time: 0.4989 data_time: 0.0318 memory: 18108 grad_norm: 3.4878 loss: 3.6667 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.0328 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.6339 2023/02/01 22:00:08 - mmengine - INFO - Epoch(train) [137][ 180/1879] lr: 5.6284e-02 eta: 1 day, 7:55:31 time: 0.4985 data_time: 0.0381 memory: 18108 grad_norm: 3.5720 loss: 3.7454 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0990 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.6465 2023/02/01 22:00:18 - mmengine - INFO - Epoch(train) [137][ 200/1879] lr: 5.6277e-02 eta: 1 day, 7:55:21 time: 0.5142 data_time: 0.0317 memory: 18108 grad_norm: 3.5122 loss: 3.8941 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 2.2571 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6369 2023/02/01 22:00:28 - mmengine - INFO - Epoch(train) [137][ 220/1879] lr: 5.6269e-02 eta: 1 day, 7:55:11 time: 0.5253 data_time: 0.0527 memory: 18108 grad_norm: 3.5214 loss: 3.8217 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2296 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.5921 2023/02/01 22:00:38 - mmengine - INFO - Epoch(train) [137][ 240/1879] lr: 5.6262e-02 eta: 1 day, 7:55:00 time: 0.4911 data_time: 0.0300 memory: 18108 grad_norm: 3.6058 loss: 3.9099 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2472 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.6627 2023/02/01 22:00:49 - mmengine - INFO - Epoch(train) [137][ 260/1879] lr: 5.6254e-02 eta: 1 day, 7:54:50 time: 0.5163 data_time: 0.0372 memory: 18108 grad_norm: 3.5525 loss: 3.9859 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3628 top1_acc_1: 0.4824 top5_acc_1: 0.7059 loss_cls_1: 1.6231 2023/02/01 22:00:58 - mmengine - INFO - Epoch(train) [137][ 280/1879] lr: 5.6247e-02 eta: 1 day, 7:54:40 time: 0.4892 data_time: 0.0321 memory: 18108 grad_norm: 3.5246 loss: 3.8179 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2479 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.5700 2023/02/01 22:01:08 - mmengine - INFO - Epoch(train) [137][ 300/1879] lr: 5.6239e-02 eta: 1 day, 7:54:29 time: 0.4886 data_time: 0.0397 memory: 18108 grad_norm: 3.4952 loss: 4.0320 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.4072 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.6248 2023/02/01 22:01:18 - mmengine - INFO - Epoch(train) [137][ 320/1879] lr: 5.6232e-02 eta: 1 day, 7:54:18 time: 0.4750 data_time: 0.0329 memory: 18108 grad_norm: 3.5800 loss: 3.8645 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.2537 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6108 2023/02/01 22:01:28 - mmengine - INFO - Epoch(train) [137][ 340/1879] lr: 5.6224e-02 eta: 1 day, 7:54:08 time: 0.5119 data_time: 0.0372 memory: 18108 grad_norm: 3.6137 loss: 3.9552 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3296 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.6256 2023/02/01 22:01:38 - mmengine - INFO - Epoch(train) [137][ 360/1879] lr: 5.6217e-02 eta: 1 day, 7:53:57 time: 0.4893 data_time: 0.0303 memory: 18108 grad_norm: 3.5330 loss: 4.0130 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3321 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.6809 2023/02/01 22:01:48 - mmengine - INFO - Epoch(train) [137][ 380/1879] lr: 5.6209e-02 eta: 1 day, 7:53:47 time: 0.4974 data_time: 0.0376 memory: 18108 grad_norm: 3.6458 loss: 4.0426 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3969 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.6457 2023/02/01 22:01:58 - mmengine - INFO - Epoch(train) [137][ 400/1879] lr: 5.6202e-02 eta: 1 day, 7:53:37 time: 0.4974 data_time: 0.0306 memory: 18108 grad_norm: 3.5804 loss: 4.1797 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5284 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6513 2023/02/01 22:02:08 - mmengine - INFO - Epoch(train) [137][ 420/1879] lr: 5.6194e-02 eta: 1 day, 7:53:26 time: 0.5157 data_time: 0.0386 memory: 18108 grad_norm: 3.5206 loss: 3.9416 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2866 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.6550 2023/02/01 22:02:18 - mmengine - INFO - Epoch(train) [137][ 440/1879] lr: 5.6187e-02 eta: 1 day, 7:53:16 time: 0.4906 data_time: 0.0311 memory: 18108 grad_norm: 3.5485 loss: 3.6953 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0172 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.6781 2023/02/01 22:02:26 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 22:02:28 - mmengine - INFO - Epoch(train) [137][ 460/1879] lr: 5.6179e-02 eta: 1 day, 7:53:06 time: 0.5173 data_time: 0.0373 memory: 18108 grad_norm: 3.5121 loss: 3.9072 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.2749 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.6322 2023/02/01 22:02:38 - mmengine - INFO - Epoch(train) [137][ 480/1879] lr: 5.6172e-02 eta: 1 day, 7:52:55 time: 0.4978 data_time: 0.0303 memory: 18108 grad_norm: 3.5602 loss: 3.8193 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1748 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.6445 2023/02/01 22:02:49 - mmengine - INFO - Epoch(train) [137][ 500/1879] lr: 5.6164e-02 eta: 1 day, 7:52:45 time: 0.5136 data_time: 0.0446 memory: 18108 grad_norm: 3.5150 loss: 4.1505 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4575 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.6930 2023/02/01 22:02:59 - mmengine - INFO - Epoch(train) [137][ 520/1879] lr: 5.6157e-02 eta: 1 day, 7:52:35 time: 0.5009 data_time: 0.0315 memory: 18108 grad_norm: 3.6231 loss: 4.1084 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.3934 top1_acc_1: 0.6118 top5_acc_1: 0.9294 loss_cls_1: 1.7150 2023/02/01 22:03:09 - mmengine - INFO - Epoch(train) [137][ 540/1879] lr: 5.6150e-02 eta: 1 day, 7:52:25 time: 0.5133 data_time: 0.0373 memory: 18108 grad_norm: 3.5642 loss: 4.0677 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4475 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.6202 2023/02/01 22:03:19 - mmengine - INFO - Epoch(train) [137][ 560/1879] lr: 5.6142e-02 eta: 1 day, 7:52:14 time: 0.4989 data_time: 0.0385 memory: 18108 grad_norm: 3.5552 loss: 4.0837 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.3715 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.7122 2023/02/01 22:03:29 - mmengine - INFO - Epoch(train) [137][ 580/1879] lr: 5.6135e-02 eta: 1 day, 7:52:04 time: 0.5100 data_time: 0.0383 memory: 18108 grad_norm: 3.5057 loss: 3.9448 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3398 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.6050 2023/02/01 22:03:39 - mmengine - INFO - Epoch(train) [137][ 600/1879] lr: 5.6127e-02 eta: 1 day, 7:51:54 time: 0.5127 data_time: 0.0301 memory: 18108 grad_norm: 3.5758 loss: 3.8991 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.1940 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.7051 2023/02/01 22:03:49 - mmengine - INFO - Epoch(train) [137][ 620/1879] lr: 5.6120e-02 eta: 1 day, 7:51:44 time: 0.5035 data_time: 0.0389 memory: 18108 grad_norm: 3.5621 loss: 3.8638 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2917 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.5721 2023/02/01 22:04:00 - mmengine - INFO - Epoch(train) [137][ 640/1879] lr: 5.6112e-02 eta: 1 day, 7:51:33 time: 0.5084 data_time: 0.0308 memory: 18108 grad_norm: 3.5381 loss: 4.0213 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3517 top1_acc_1: 0.5765 top5_acc_1: 0.7294 loss_cls_1: 1.6697 2023/02/01 22:04:10 - mmengine - INFO - Epoch(train) [137][ 660/1879] lr: 5.6105e-02 eta: 1 day, 7:51:23 time: 0.5159 data_time: 0.0380 memory: 18108 grad_norm: 3.4749 loss: 4.0027 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.4100 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.5926 2023/02/01 22:04:20 - mmengine - INFO - Epoch(train) [137][ 680/1879] lr: 5.6097e-02 eta: 1 day, 7:51:13 time: 0.5074 data_time: 0.0301 memory: 18108 grad_norm: 3.5613 loss: 3.7907 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2231 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.5675 2023/02/01 22:04:31 - mmengine - INFO - Epoch(train) [137][ 700/1879] lr: 5.6090e-02 eta: 1 day, 7:51:03 time: 0.5372 data_time: 0.0511 memory: 18108 grad_norm: 3.6192 loss: 3.8207 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2359 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.5848 2023/02/01 22:04:41 - mmengine - INFO - Epoch(train) [137][ 720/1879] lr: 5.6082e-02 eta: 1 day, 7:50:53 time: 0.5167 data_time: 0.0306 memory: 18108 grad_norm: 3.6278 loss: 3.8486 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.1137 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.7349 2023/02/01 22:04:52 - mmengine - INFO - Epoch(train) [137][ 740/1879] lr: 5.6075e-02 eta: 1 day, 7:50:43 time: 0.5271 data_time: 0.0382 memory: 18108 grad_norm: 3.5298 loss: 4.0795 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3491 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7304 2023/02/01 22:05:02 - mmengine - INFO - Epoch(train) [137][ 760/1879] lr: 5.6067e-02 eta: 1 day, 7:50:33 time: 0.5096 data_time: 0.0304 memory: 18108 grad_norm: 3.4886 loss: 3.8325 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2161 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.6164 2023/02/01 22:05:12 - mmengine - INFO - Epoch(train) [137][ 780/1879] lr: 5.6060e-02 eta: 1 day, 7:50:23 time: 0.5206 data_time: 0.0492 memory: 18108 grad_norm: 3.5625 loss: 3.7879 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1723 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6156 2023/02/01 22:05:23 - mmengine - INFO - Epoch(train) [137][ 800/1879] lr: 5.6052e-02 eta: 1 day, 7:50:13 time: 0.5252 data_time: 0.0292 memory: 18108 grad_norm: 3.5221 loss: 4.0527 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3689 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.6838 2023/02/01 22:05:33 - mmengine - INFO - Epoch(train) [137][ 820/1879] lr: 5.6045e-02 eta: 1 day, 7:50:03 time: 0.5079 data_time: 0.0380 memory: 18108 grad_norm: 3.6177 loss: 4.0834 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.4671 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.6163 2023/02/01 22:05:43 - mmengine - INFO - Epoch(train) [137][ 840/1879] lr: 5.6037e-02 eta: 1 day, 7:49:53 time: 0.5096 data_time: 0.0383 memory: 18108 grad_norm: 3.5601 loss: 3.7376 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0508 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.6868 2023/02/01 22:05:54 - mmengine - INFO - Epoch(train) [137][ 860/1879] lr: 5.6030e-02 eta: 1 day, 7:49:43 time: 0.5230 data_time: 0.0388 memory: 18108 grad_norm: 3.4955 loss: 4.1327 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.4715 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.6612 2023/02/01 22:06:04 - mmengine - INFO - Epoch(train) [137][ 880/1879] lr: 5.6022e-02 eta: 1 day, 7:49:33 time: 0.5203 data_time: 0.0286 memory: 18108 grad_norm: 3.5612 loss: 4.1485 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4402 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7083 2023/02/01 22:06:15 - mmengine - INFO - Epoch(train) [137][ 900/1879] lr: 5.6015e-02 eta: 1 day, 7:49:23 time: 0.5192 data_time: 0.0519 memory: 18108 grad_norm: 3.5107 loss: 3.8247 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.2329 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.5919 2023/02/01 22:06:25 - mmengine - INFO - Epoch(train) [137][ 920/1879] lr: 5.6007e-02 eta: 1 day, 7:49:13 time: 0.5111 data_time: 0.0322 memory: 18108 grad_norm: 3.5386 loss: 3.8683 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.1914 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.6769 2023/02/01 22:06:35 - mmengine - INFO - Epoch(train) [137][ 940/1879] lr: 5.6000e-02 eta: 1 day, 7:49:03 time: 0.5262 data_time: 0.0386 memory: 18108 grad_norm: 3.5452 loss: 4.0824 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.4485 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.6339 2023/02/01 22:06:46 - mmengine - INFO - Epoch(train) [137][ 960/1879] lr: 5.5993e-02 eta: 1 day, 7:48:52 time: 0.5109 data_time: 0.0304 memory: 18108 grad_norm: 3.5942 loss: 3.8943 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3093 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.5850 2023/02/01 22:06:56 - mmengine - INFO - Epoch(train) [137][ 980/1879] lr: 5.5985e-02 eta: 1 day, 7:48:42 time: 0.5123 data_time: 0.0364 memory: 18108 grad_norm: 3.4976 loss: 4.1678 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4921 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.6757 2023/02/01 22:07:06 - mmengine - INFO - Epoch(train) [137][1000/1879] lr: 5.5978e-02 eta: 1 day, 7:48:32 time: 0.5271 data_time: 0.0295 memory: 18108 grad_norm: 3.5996 loss: 4.0823 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3623 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.7199 2023/02/01 22:07:17 - mmengine - INFO - Epoch(train) [137][1020/1879] lr: 5.5970e-02 eta: 1 day, 7:48:22 time: 0.5209 data_time: 0.0361 memory: 18108 grad_norm: 3.5239 loss: 4.0402 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3415 top1_acc_1: 0.4941 top5_acc_1: 0.8118 loss_cls_1: 1.6987 2023/02/01 22:07:27 - mmengine - INFO - Epoch(train) [137][1040/1879] lr: 5.5963e-02 eta: 1 day, 7:48:12 time: 0.5143 data_time: 0.0340 memory: 18108 grad_norm: 3.6124 loss: 3.7831 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1674 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.6156 2023/02/01 22:07:37 - mmengine - INFO - Epoch(train) [137][1060/1879] lr: 5.5955e-02 eta: 1 day, 7:48:02 time: 0.5074 data_time: 0.0341 memory: 18108 grad_norm: 3.5496 loss: 3.9327 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.2690 top1_acc_1: 0.5882 top5_acc_1: 0.9059 loss_cls_1: 1.6638 2023/02/01 22:07:48 - mmengine - INFO - Epoch(train) [137][1080/1879] lr: 5.5948e-02 eta: 1 day, 7:47:52 time: 0.5348 data_time: 0.0345 memory: 18108 grad_norm: 3.5993 loss: 3.8487 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1908 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6579 2023/02/01 22:07:58 - mmengine - INFO - Epoch(train) [137][1100/1879] lr: 5.5940e-02 eta: 1 day, 7:47:42 time: 0.5053 data_time: 0.0332 memory: 18108 grad_norm: 3.4863 loss: 4.2342 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5189 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.7153 2023/02/01 22:08:08 - mmengine - INFO - Epoch(train) [137][1120/1879] lr: 5.5933e-02 eta: 1 day, 7:47:32 time: 0.5076 data_time: 0.0344 memory: 18108 grad_norm: 3.4144 loss: 3.9797 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2932 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.6865 2023/02/01 22:08:19 - mmengine - INFO - Epoch(train) [137][1140/1879] lr: 5.5925e-02 eta: 1 day, 7:47:22 time: 0.5234 data_time: 0.0336 memory: 18108 grad_norm: 3.4787 loss: 3.8105 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.2336 top1_acc_1: 0.5647 top5_acc_1: 0.8824 loss_cls_1: 1.5769 2023/02/01 22:08:29 - mmengine - INFO - Epoch(train) [137][1160/1879] lr: 5.5918e-02 eta: 1 day, 7:47:12 time: 0.5169 data_time: 0.0349 memory: 18108 grad_norm: 3.5066 loss: 3.9189 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3054 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.6135 2023/02/01 22:08:39 - mmengine - INFO - Epoch(train) [137][1180/1879] lr: 5.5910e-02 eta: 1 day, 7:47:01 time: 0.5131 data_time: 0.0391 memory: 18108 grad_norm: 3.5287 loss: 3.9178 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.2591 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.6587 2023/02/01 22:08:50 - mmengine - INFO - Epoch(train) [137][1200/1879] lr: 5.5903e-02 eta: 1 day, 7:46:51 time: 0.5220 data_time: 0.0332 memory: 18108 grad_norm: 3.4968 loss: 3.8780 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3176 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.5604 2023/02/01 22:09:00 - mmengine - INFO - Epoch(train) [137][1220/1879] lr: 5.5895e-02 eta: 1 day, 7:46:41 time: 0.5182 data_time: 0.0334 memory: 18108 grad_norm: 3.5214 loss: 3.9461 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1714 top1_acc_1: 0.5412 top5_acc_1: 0.8471 loss_cls_1: 1.7747 2023/02/01 22:09:11 - mmengine - INFO - Epoch(train) [137][1240/1879] lr: 5.5888e-02 eta: 1 day, 7:46:31 time: 0.5155 data_time: 0.0413 memory: 18108 grad_norm: 3.5549 loss: 3.8819 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2345 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.6475 2023/02/01 22:09:21 - mmengine - INFO - Epoch(train) [137][1260/1879] lr: 5.5880e-02 eta: 1 day, 7:46:21 time: 0.5220 data_time: 0.0334 memory: 18108 grad_norm: 3.5546 loss: 3.8628 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1242 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7386 2023/02/01 22:09:32 - mmengine - INFO - Epoch(train) [137][1280/1879] lr: 5.5873e-02 eta: 1 day, 7:46:11 time: 0.5259 data_time: 0.0343 memory: 18108 grad_norm: 3.5172 loss: 3.8763 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2814 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.5949 2023/02/01 22:09:42 - mmengine - INFO - Epoch(train) [137][1300/1879] lr: 5.5865e-02 eta: 1 day, 7:46:01 time: 0.5194 data_time: 0.0310 memory: 18108 grad_norm: 3.5857 loss: 4.0297 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3049 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.7247 2023/02/01 22:09:53 - mmengine - INFO - Epoch(train) [137][1320/1879] lr: 5.5858e-02 eta: 1 day, 7:45:51 time: 0.5295 data_time: 0.0424 memory: 18108 grad_norm: 3.5638 loss: 4.0923 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.4314 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.6609 2023/02/01 22:10:03 - mmengine - INFO - Epoch(train) [137][1340/1879] lr: 5.5850e-02 eta: 1 day, 7:45:42 time: 0.5262 data_time: 0.0329 memory: 18108 grad_norm: 3.5444 loss: 4.0536 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3298 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.7238 2023/02/01 22:10:14 - mmengine - INFO - Epoch(train) [137][1360/1879] lr: 5.5843e-02 eta: 1 day, 7:45:32 time: 0.5397 data_time: 0.0337 memory: 18108 grad_norm: 3.6288 loss: 4.2313 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.5381 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.6931 2023/02/01 22:10:24 - mmengine - INFO - Epoch(train) [137][1380/1879] lr: 5.5835e-02 eta: 1 day, 7:45:22 time: 0.5197 data_time: 0.0328 memory: 18108 grad_norm: 3.5923 loss: 3.9726 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.2762 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.6964 2023/02/01 22:10:35 - mmengine - INFO - Epoch(train) [137][1400/1879] lr: 5.5828e-02 eta: 1 day, 7:45:12 time: 0.5275 data_time: 0.0341 memory: 18108 grad_norm: 3.5546 loss: 3.8582 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3181 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.5400 2023/02/01 22:10:46 - mmengine - INFO - Epoch(train) [137][1420/1879] lr: 5.5821e-02 eta: 1 day, 7:45:02 time: 0.5415 data_time: 0.0310 memory: 18108 grad_norm: 3.5118 loss: 3.5870 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.9990 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.5880 2023/02/01 22:10:56 - mmengine - INFO - Epoch(train) [137][1440/1879] lr: 5.5813e-02 eta: 1 day, 7:44:52 time: 0.5230 data_time: 0.0346 memory: 18108 grad_norm: 3.6398 loss: 4.0382 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3971 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.6410 2023/02/01 22:11:05 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 22:11:07 - mmengine - INFO - Epoch(train) [137][1460/1879] lr: 5.5806e-02 eta: 1 day, 7:44:42 time: 0.5204 data_time: 0.0374 memory: 18108 grad_norm: 3.5401 loss: 3.8602 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1314 top1_acc_1: 0.6471 top5_acc_1: 0.7647 loss_cls_1: 1.7287 2023/02/01 22:11:17 - mmengine - INFO - Epoch(train) [137][1480/1879] lr: 5.5798e-02 eta: 1 day, 7:44:32 time: 0.5347 data_time: 0.0330 memory: 18108 grad_norm: 3.5547 loss: 4.0049 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3227 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.6822 2023/02/01 22:11:28 - mmengine - INFO - Epoch(train) [137][1500/1879] lr: 5.5791e-02 eta: 1 day, 7:44:22 time: 0.5183 data_time: 0.0309 memory: 18108 grad_norm: 3.6072 loss: 4.1766 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4212 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7554 2023/02/01 22:11:38 - mmengine - INFO - Epoch(train) [137][1520/1879] lr: 5.5783e-02 eta: 1 day, 7:44:12 time: 0.5215 data_time: 0.0411 memory: 18108 grad_norm: 3.5528 loss: 3.7650 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1665 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.5984 2023/02/01 22:11:48 - mmengine - INFO - Epoch(train) [137][1540/1879] lr: 5.5776e-02 eta: 1 day, 7:44:02 time: 0.5035 data_time: 0.0338 memory: 18108 grad_norm: 3.5532 loss: 3.9561 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2279 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.7282 2023/02/01 22:11:59 - mmengine - INFO - Epoch(train) [137][1560/1879] lr: 5.5768e-02 eta: 1 day, 7:43:53 time: 0.5478 data_time: 0.0329 memory: 18108 grad_norm: 3.5901 loss: 4.1126 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3709 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7418 2023/02/01 22:12:09 - mmengine - INFO - Epoch(train) [137][1580/1879] lr: 5.5761e-02 eta: 1 day, 7:43:42 time: 0.5023 data_time: 0.0342 memory: 18108 grad_norm: 3.6377 loss: 4.1619 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5219 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.6400 2023/02/01 22:12:20 - mmengine - INFO - Epoch(train) [137][1600/1879] lr: 5.5753e-02 eta: 1 day, 7:43:32 time: 0.5111 data_time: 0.0344 memory: 18108 grad_norm: 3.6205 loss: 4.1477 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4799 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.6678 2023/02/01 22:12:30 - mmengine - INFO - Epoch(train) [137][1620/1879] lr: 5.5746e-02 eta: 1 day, 7:43:22 time: 0.5211 data_time: 0.0333 memory: 18108 grad_norm: 3.4891 loss: 3.9076 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2603 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.6473 2023/02/01 22:12:40 - mmengine - INFO - Epoch(train) [137][1640/1879] lr: 5.5738e-02 eta: 1 day, 7:43:12 time: 0.5184 data_time: 0.0350 memory: 18108 grad_norm: 3.5779 loss: 4.0703 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3405 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.7298 2023/02/01 22:12:50 - mmengine - INFO - Epoch(train) [137][1660/1879] lr: 5.5731e-02 eta: 1 day, 7:43:02 time: 0.4973 data_time: 0.0335 memory: 18108 grad_norm: 3.5232 loss: 4.0807 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4329 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.6479 2023/02/01 22:13:01 - mmengine - INFO - Epoch(train) [137][1680/1879] lr: 5.5723e-02 eta: 1 day, 7:42:52 time: 0.5278 data_time: 0.0485 memory: 18108 grad_norm: 3.5267 loss: 3.8181 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.2358 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5824 2023/02/01 22:13:12 - mmengine - INFO - Epoch(train) [137][1700/1879] lr: 5.5716e-02 eta: 1 day, 7:42:42 time: 0.5313 data_time: 0.0348 memory: 18108 grad_norm: 3.7051 loss: 4.2274 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5721 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.6553 2023/02/01 22:13:22 - mmengine - INFO - Epoch(train) [137][1720/1879] lr: 5.5708e-02 eta: 1 day, 7:42:32 time: 0.5154 data_time: 0.0346 memory: 18108 grad_norm: 3.5918 loss: 4.0318 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.3334 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.6984 2023/02/01 22:13:32 - mmengine - INFO - Epoch(train) [137][1740/1879] lr: 5.5701e-02 eta: 1 day, 7:42:21 time: 0.4898 data_time: 0.0328 memory: 18108 grad_norm: 3.5296 loss: 4.1653 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4450 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7203 2023/02/01 22:13:42 - mmengine - INFO - Epoch(train) [137][1760/1879] lr: 5.5693e-02 eta: 1 day, 7:42:11 time: 0.5274 data_time: 0.0321 memory: 18108 grad_norm: 3.5400 loss: 4.2429 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5687 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.6742 2023/02/01 22:13:52 - mmengine - INFO - Epoch(train) [137][1780/1879] lr: 5.5686e-02 eta: 1 day, 7:42:01 time: 0.4978 data_time: 0.0336 memory: 18108 grad_norm: 3.6262 loss: 3.9423 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.2545 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.6878 2023/02/01 22:14:02 - mmengine - INFO - Epoch(train) [137][1800/1879] lr: 5.5678e-02 eta: 1 day, 7:41:50 time: 0.5002 data_time: 0.0340 memory: 18108 grad_norm: 3.5477 loss: 4.4389 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.6904 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.7485 2023/02/01 22:14:13 - mmengine - INFO - Epoch(train) [137][1820/1879] lr: 5.5671e-02 eta: 1 day, 7:41:40 time: 0.5249 data_time: 0.0417 memory: 18108 grad_norm: 3.5333 loss: 3.9709 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.2948 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.6761 2023/02/01 22:14:23 - mmengine - INFO - Epoch(train) [137][1840/1879] lr: 5.5663e-02 eta: 1 day, 7:41:30 time: 0.5236 data_time: 0.0327 memory: 18108 grad_norm: 3.5434 loss: 4.3194 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.5739 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7455 2023/02/01 22:14:33 - mmengine - INFO - Epoch(train) [137][1860/1879] lr: 5.5656e-02 eta: 1 day, 7:41:20 time: 0.5033 data_time: 0.0346 memory: 18108 grad_norm: 3.5574 loss: 4.0910 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.4375 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.6535 2023/02/01 22:14:43 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 22:14:43 - mmengine - INFO - Epoch(train) [137][1879/1879] lr: 5.5649e-02 eta: 1 day, 7:41:10 time: 0.5023 data_time: 0.0267 memory: 18108 grad_norm: 3.6356 loss: 4.1190 top1_acc_0: 0.1429 top5_acc_0: 0.5714 loss_cls_0: 2.3848 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.7342 2023/02/01 22:14:58 - mmengine - INFO - Epoch(train) [138][ 20/1879] lr: 5.5641e-02 eta: 1 day, 7:41:04 time: 0.7213 data_time: 0.2660 memory: 18108 grad_norm: 3.4729 loss: 3.8388 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2425 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5963 2023/02/01 22:15:08 - mmengine - INFO - Epoch(train) [138][ 40/1879] lr: 5.5634e-02 eta: 1 day, 7:40:53 time: 0.4909 data_time: 0.0334 memory: 18108 grad_norm: 3.5451 loss: 4.0229 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3814 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.6415 2023/02/01 22:15:18 - mmengine - INFO - Epoch(train) [138][ 60/1879] lr: 5.5626e-02 eta: 1 day, 7:40:43 time: 0.4949 data_time: 0.0334 memory: 18108 grad_norm: 3.5578 loss: 4.0103 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.3855 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.6248 2023/02/01 22:15:28 - mmengine - INFO - Epoch(train) [138][ 80/1879] lr: 5.5619e-02 eta: 1 day, 7:40:33 time: 0.5273 data_time: 0.0313 memory: 18108 grad_norm: 3.5125 loss: 3.8239 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2106 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.6133 2023/02/01 22:15:38 - mmengine - INFO - Epoch(train) [138][ 100/1879] lr: 5.5611e-02 eta: 1 day, 7:40:22 time: 0.4993 data_time: 0.0346 memory: 18108 grad_norm: 3.5592 loss: 4.0314 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.4079 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.6236 2023/02/01 22:15:48 - mmengine - INFO - Epoch(train) [138][ 120/1879] lr: 5.5604e-02 eta: 1 day, 7:40:12 time: 0.4855 data_time: 0.0326 memory: 18108 grad_norm: 3.5476 loss: 3.9948 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4373 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5575 2023/02/01 22:15:59 - mmengine - INFO - Epoch(train) [138][ 140/1879] lr: 5.5596e-02 eta: 1 day, 7:40:02 time: 0.5405 data_time: 0.0397 memory: 18108 grad_norm: 3.4928 loss: 4.0088 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3306 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.6782 2023/02/01 22:16:09 - mmengine - INFO - Epoch(train) [138][ 160/1879] lr: 5.5589e-02 eta: 1 day, 7:39:52 time: 0.5029 data_time: 0.0305 memory: 18108 grad_norm: 3.5357 loss: 3.9264 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4161 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5103 2023/02/01 22:16:19 - mmengine - INFO - Epoch(train) [138][ 180/1879] lr: 5.5581e-02 eta: 1 day, 7:39:42 time: 0.5091 data_time: 0.0346 memory: 18108 grad_norm: 3.5586 loss: 4.1074 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4492 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.6582 2023/02/01 22:16:30 - mmengine - INFO - Epoch(train) [138][ 200/1879] lr: 5.5574e-02 eta: 1 day, 7:39:31 time: 0.5140 data_time: 0.0349 memory: 18108 grad_norm: 3.4956 loss: 3.7141 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1206 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.5936 2023/02/01 22:16:40 - mmengine - INFO - Epoch(train) [138][ 220/1879] lr: 5.5566e-02 eta: 1 day, 7:39:22 time: 0.5402 data_time: 0.0279 memory: 18108 grad_norm: 3.5187 loss: 3.7207 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1746 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5461 2023/02/01 22:16:51 - mmengine - INFO - Epoch(train) [138][ 240/1879] lr: 5.5559e-02 eta: 1 day, 7:39:12 time: 0.5079 data_time: 0.0365 memory: 18108 grad_norm: 3.6417 loss: 3.7711 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1040 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.6671 2023/02/01 22:17:01 - mmengine - INFO - Epoch(train) [138][ 260/1879] lr: 5.5552e-02 eta: 1 day, 7:39:02 time: 0.5204 data_time: 0.0286 memory: 18108 grad_norm: 3.6151 loss: 4.0611 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4389 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6222 2023/02/01 22:17:11 - mmengine - INFO - Epoch(train) [138][ 280/1879] lr: 5.5544e-02 eta: 1 day, 7:38:52 time: 0.5245 data_time: 0.0382 memory: 18108 grad_norm: 3.5147 loss: 3.6655 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.0641 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.6014 2023/02/01 22:17:22 - mmengine - INFO - Epoch(train) [138][ 300/1879] lr: 5.5537e-02 eta: 1 day, 7:38:42 time: 0.5316 data_time: 0.0297 memory: 18108 grad_norm: 3.5974 loss: 3.9540 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3160 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.6380 2023/02/01 22:17:32 - mmengine - INFO - Epoch(train) [138][ 320/1879] lr: 5.5529e-02 eta: 1 day, 7:38:31 time: 0.4998 data_time: 0.0380 memory: 18108 grad_norm: 3.5519 loss: 4.1210 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.4055 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7155 2023/02/01 22:17:42 - mmengine - INFO - Epoch(train) [138][ 340/1879] lr: 5.5522e-02 eta: 1 day, 7:38:21 time: 0.5167 data_time: 0.0364 memory: 18108 grad_norm: 3.6070 loss: 4.0727 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4875 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5852 2023/02/01 22:17:53 - mmengine - INFO - Epoch(train) [138][ 360/1879] lr: 5.5514e-02 eta: 1 day, 7:38:11 time: 0.5182 data_time: 0.0366 memory: 18108 grad_norm: 3.5191 loss: 3.7506 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1519 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.5987 2023/02/01 22:18:03 - mmengine - INFO - Epoch(train) [138][ 380/1879] lr: 5.5507e-02 eta: 1 day, 7:38:01 time: 0.5108 data_time: 0.0286 memory: 18108 grad_norm: 3.4926 loss: 3.9582 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3514 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.6068 2023/02/01 22:18:13 - mmengine - INFO - Epoch(train) [138][ 400/1879] lr: 5.5499e-02 eta: 1 day, 7:37:51 time: 0.5127 data_time: 0.0365 memory: 18108 grad_norm: 3.6159 loss: 3.5771 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9542 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.6229 2023/02/01 22:18:24 - mmengine - INFO - Epoch(train) [138][ 420/1879] lr: 5.5492e-02 eta: 1 day, 7:37:41 time: 0.5147 data_time: 0.0285 memory: 18108 grad_norm: 3.5054 loss: 4.0776 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4581 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.6195 2023/02/01 22:18:34 - mmengine - INFO - Epoch(train) [138][ 440/1879] lr: 5.5484e-02 eta: 1 day, 7:37:31 time: 0.5194 data_time: 0.0359 memory: 18108 grad_norm: 3.5938 loss: 4.0923 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.4527 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.6396 2023/02/01 22:18:44 - mmengine - INFO - Epoch(train) [138][ 460/1879] lr: 5.5477e-02 eta: 1 day, 7:37:20 time: 0.5101 data_time: 0.0286 memory: 18108 grad_norm: 3.4761 loss: 3.9336 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3073 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.6263 2023/02/01 22:18:54 - mmengine - INFO - Epoch(train) [138][ 480/1879] lr: 5.5469e-02 eta: 1 day, 7:37:10 time: 0.5060 data_time: 0.0434 memory: 18108 grad_norm: 3.4908 loss: 4.0845 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4091 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.6753 2023/02/01 22:19:05 - mmengine - INFO - Epoch(train) [138][ 500/1879] lr: 5.5462e-02 eta: 1 day, 7:37:00 time: 0.5254 data_time: 0.0293 memory: 18108 grad_norm: 3.6341 loss: 3.8244 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2125 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.6120 2023/02/01 22:19:16 - mmengine - INFO - Epoch(train) [138][ 520/1879] lr: 5.5454e-02 eta: 1 day, 7:36:51 time: 0.5372 data_time: 0.0437 memory: 18108 grad_norm: 3.4802 loss: 3.9544 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3766 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.5778 2023/02/01 22:19:26 - mmengine - INFO - Epoch(train) [138][ 540/1879] lr: 5.5447e-02 eta: 1 day, 7:36:40 time: 0.5140 data_time: 0.0289 memory: 18108 grad_norm: 3.5310 loss: 3.6866 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0689 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.6177 2023/02/01 22:19:37 - mmengine - INFO - Epoch(train) [138][ 560/1879] lr: 5.5439e-02 eta: 1 day, 7:36:30 time: 0.5267 data_time: 0.0368 memory: 18108 grad_norm: 3.5913 loss: 4.0591 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3824 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.6767 2023/02/01 22:19:46 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 22:19:47 - mmengine - INFO - Epoch(train) [138][ 580/1879] lr: 5.5432e-02 eta: 1 day, 7:36:20 time: 0.5198 data_time: 0.0290 memory: 18108 grad_norm: 3.5778 loss: 4.1814 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.5238 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.6576 2023/02/01 22:19:57 - mmengine - INFO - Epoch(train) [138][ 600/1879] lr: 5.5424e-02 eta: 1 day, 7:36:10 time: 0.5213 data_time: 0.0429 memory: 18108 grad_norm: 3.5262 loss: 3.9234 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2616 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.6618 2023/02/01 22:20:08 - mmengine - INFO - Epoch(train) [138][ 620/1879] lr: 5.5417e-02 eta: 1 day, 7:36:00 time: 0.5175 data_time: 0.0296 memory: 18108 grad_norm: 3.5591 loss: 4.0496 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3172 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.7324 2023/02/01 22:20:18 - mmengine - INFO - Epoch(train) [138][ 640/1879] lr: 5.5409e-02 eta: 1 day, 7:35:50 time: 0.5237 data_time: 0.0332 memory: 18108 grad_norm: 3.5172 loss: 3.8184 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1986 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.6198 2023/02/01 22:20:29 - mmengine - INFO - Epoch(train) [138][ 660/1879] lr: 5.5402e-02 eta: 1 day, 7:35:41 time: 0.5353 data_time: 0.0339 memory: 18108 grad_norm: 3.5134 loss: 4.1036 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4408 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6628 2023/02/01 22:20:39 - mmengine - INFO - Epoch(train) [138][ 680/1879] lr: 5.5394e-02 eta: 1 day, 7:35:31 time: 0.5174 data_time: 0.0349 memory: 18108 grad_norm: 3.5583 loss: 3.7890 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2412 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.5478 2023/02/01 22:20:50 - mmengine - INFO - Epoch(train) [138][ 700/1879] lr: 5.5387e-02 eta: 1 day, 7:35:20 time: 0.5188 data_time: 0.0284 memory: 18108 grad_norm: 3.5442 loss: 4.0178 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3582 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.6596 2023/02/01 22:21:00 - mmengine - INFO - Epoch(train) [138][ 720/1879] lr: 5.5379e-02 eta: 1 day, 7:35:10 time: 0.5144 data_time: 0.0366 memory: 18108 grad_norm: 3.5855 loss: 3.9822 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2679 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.7142 2023/02/01 22:21:10 - mmengine - INFO - Epoch(train) [138][ 740/1879] lr: 5.5372e-02 eta: 1 day, 7:35:00 time: 0.5112 data_time: 0.0357 memory: 18108 grad_norm: 3.5808 loss: 3.9289 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3091 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.6199 2023/02/01 22:21:21 - mmengine - INFO - Epoch(train) [138][ 760/1879] lr: 5.5364e-02 eta: 1 day, 7:34:50 time: 0.5164 data_time: 0.0336 memory: 18108 grad_norm: 3.5080 loss: 4.1079 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4011 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.7068 2023/02/01 22:21:31 - mmengine - INFO - Epoch(train) [138][ 780/1879] lr: 5.5357e-02 eta: 1 day, 7:34:40 time: 0.5004 data_time: 0.0304 memory: 18108 grad_norm: 3.5991 loss: 3.9670 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2057 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.7613 2023/02/01 22:21:41 - mmengine - INFO - Epoch(train) [138][ 800/1879] lr: 5.5349e-02 eta: 1 day, 7:34:30 time: 0.5202 data_time: 0.0366 memory: 18108 grad_norm: 3.6172 loss: 4.0835 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3040 top1_acc_1: 0.6118 top5_acc_1: 0.7412 loss_cls_1: 1.7795 2023/02/01 22:21:52 - mmengine - INFO - Epoch(train) [138][ 820/1879] lr: 5.5342e-02 eta: 1 day, 7:34:20 time: 0.5274 data_time: 0.0308 memory: 18108 grad_norm: 3.5003 loss: 3.7746 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 2.0633 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.7113 2023/02/01 22:22:02 - mmengine - INFO - Epoch(train) [138][ 840/1879] lr: 5.5334e-02 eta: 1 day, 7:34:10 time: 0.5100 data_time: 0.0369 memory: 18108 grad_norm: 3.4978 loss: 3.9311 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.2300 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.7011 2023/02/01 22:22:13 - mmengine - INFO - Epoch(train) [138][ 860/1879] lr: 5.5327e-02 eta: 1 day, 7:34:00 time: 0.5339 data_time: 0.0374 memory: 18108 grad_norm: 3.6064 loss: 4.0703 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.3737 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.6966 2023/02/01 22:22:23 - mmengine - INFO - Epoch(train) [138][ 880/1879] lr: 5.5319e-02 eta: 1 day, 7:33:50 time: 0.5238 data_time: 0.0357 memory: 18108 grad_norm: 3.5686 loss: 3.8986 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.1471 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.7515 2023/02/01 22:22:33 - mmengine - INFO - Epoch(train) [138][ 900/1879] lr: 5.5312e-02 eta: 1 day, 7:33:40 time: 0.5210 data_time: 0.0281 memory: 18108 grad_norm: 3.5333 loss: 3.6559 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.0101 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.6458 2023/02/01 22:22:44 - mmengine - INFO - Epoch(train) [138][ 920/1879] lr: 5.5304e-02 eta: 1 day, 7:33:30 time: 0.5108 data_time: 0.0350 memory: 18108 grad_norm: 3.5417 loss: 3.9525 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 2.3261 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.6264 2023/02/01 22:22:55 - mmengine - INFO - Epoch(train) [138][ 940/1879] lr: 5.5297e-02 eta: 1 day, 7:33:20 time: 0.5445 data_time: 0.0284 memory: 18108 grad_norm: 3.5412 loss: 4.0526 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4114 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.6412 2023/02/01 22:23:05 - mmengine - INFO - Epoch(train) [138][ 960/1879] lr: 5.5289e-02 eta: 1 day, 7:33:10 time: 0.5279 data_time: 0.0363 memory: 18108 grad_norm: 3.5431 loss: 3.9758 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.2825 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.6932 2023/02/01 22:23:16 - mmengine - INFO - Epoch(train) [138][ 980/1879] lr: 5.5282e-02 eta: 1 day, 7:33:00 time: 0.5188 data_time: 0.0285 memory: 18108 grad_norm: 3.5260 loss: 4.0190 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2548 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.7642 2023/02/01 22:23:26 - mmengine - INFO - Epoch(train) [138][1000/1879] lr: 5.5275e-02 eta: 1 day, 7:32:50 time: 0.5430 data_time: 0.0427 memory: 18108 grad_norm: 3.6067 loss: 4.0009 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.2833 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7176 2023/02/01 22:23:37 - mmengine - INFO - Epoch(train) [138][1020/1879] lr: 5.5267e-02 eta: 1 day, 7:32:40 time: 0.5233 data_time: 0.0284 memory: 18108 grad_norm: 3.5423 loss: 3.9268 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2721 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.6547 2023/02/01 22:23:47 - mmengine - INFO - Epoch(train) [138][1040/1879] lr: 5.5260e-02 eta: 1 day, 7:32:30 time: 0.5221 data_time: 0.0355 memory: 18108 grad_norm: 3.6110 loss: 3.9575 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3666 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5909 2023/02/01 22:23:58 - mmengine - INFO - Epoch(train) [138][1060/1879] lr: 5.5252e-02 eta: 1 day, 7:32:21 time: 0.5368 data_time: 0.0286 memory: 18108 grad_norm: 3.5193 loss: 3.8671 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2723 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.5947 2023/02/01 22:24:09 - mmengine - INFO - Epoch(train) [138][1080/1879] lr: 5.5245e-02 eta: 1 day, 7:32:11 time: 0.5337 data_time: 0.0445 memory: 18108 grad_norm: 3.5499 loss: 3.9369 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.3106 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.6263 2023/02/01 22:24:20 - mmengine - INFO - Epoch(train) [138][1100/1879] lr: 5.5237e-02 eta: 1 day, 7:32:01 time: 0.5382 data_time: 0.0280 memory: 18108 grad_norm: 3.6287 loss: 3.7404 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1046 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.6358 2023/02/01 22:24:30 - mmengine - INFO - Epoch(train) [138][1120/1879] lr: 5.5230e-02 eta: 1 day, 7:31:51 time: 0.5241 data_time: 0.0364 memory: 18108 grad_norm: 3.5706 loss: 4.1033 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4236 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.6797 2023/02/01 22:24:41 - mmengine - INFO - Epoch(train) [138][1140/1879] lr: 5.5222e-02 eta: 1 day, 7:31:41 time: 0.5235 data_time: 0.0367 memory: 18108 grad_norm: 3.5310 loss: 3.7618 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.1222 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.6396 2023/02/01 22:24:51 - mmengine - INFO - Epoch(train) [138][1160/1879] lr: 5.5215e-02 eta: 1 day, 7:31:31 time: 0.5304 data_time: 0.0359 memory: 18108 grad_norm: 3.5547 loss: 3.9073 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2402 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.6672 2023/02/01 22:25:02 - mmengine - INFO - Epoch(train) [138][1180/1879] lr: 5.5207e-02 eta: 1 day, 7:31:21 time: 0.5235 data_time: 0.0275 memory: 18108 grad_norm: 3.6063 loss: 4.1789 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.5002 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.6787 2023/02/01 22:25:12 - mmengine - INFO - Epoch(train) [138][1200/1879] lr: 5.5200e-02 eta: 1 day, 7:31:12 time: 0.5376 data_time: 0.0438 memory: 18108 grad_norm: 3.5516 loss: 3.8991 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2056 top1_acc_1: 0.5765 top5_acc_1: 0.7059 loss_cls_1: 1.6936 2023/02/01 22:25:23 - mmengine - INFO - Epoch(train) [138][1220/1879] lr: 5.5192e-02 eta: 1 day, 7:31:02 time: 0.5253 data_time: 0.0285 memory: 18108 grad_norm: 3.5930 loss: 4.2850 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5691 top1_acc_1: 0.6588 top5_acc_1: 0.7765 loss_cls_1: 1.7159 2023/02/01 22:25:34 - mmengine - INFO - Epoch(train) [138][1240/1879] lr: 5.5185e-02 eta: 1 day, 7:30:52 time: 0.5276 data_time: 0.0367 memory: 18108 grad_norm: 3.6186 loss: 4.0050 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3310 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.6740 2023/02/01 22:25:45 - mmengine - INFO - Epoch(train) [138][1260/1879] lr: 5.5177e-02 eta: 1 day, 7:30:42 time: 0.5477 data_time: 0.0289 memory: 18108 grad_norm: 3.5596 loss: 3.9222 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2703 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.6519 2023/02/01 22:25:55 - mmengine - INFO - Epoch(train) [138][1280/1879] lr: 5.5170e-02 eta: 1 day, 7:30:33 time: 0.5408 data_time: 0.0422 memory: 18108 grad_norm: 3.4951 loss: 3.7793 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.1655 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.6139 2023/02/01 22:26:06 - mmengine - INFO - Epoch(train) [138][1300/1879] lr: 5.5162e-02 eta: 1 day, 7:30:23 time: 0.5384 data_time: 0.0298 memory: 18108 grad_norm: 3.5568 loss: 3.9574 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1986 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.7589 2023/02/01 22:26:17 - mmengine - INFO - Epoch(train) [138][1320/1879] lr: 5.5155e-02 eta: 1 day, 7:30:13 time: 0.5454 data_time: 0.0356 memory: 18108 grad_norm: 3.4874 loss: 4.0431 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.3701 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.6730 2023/02/01 22:26:28 - mmengine - INFO - Epoch(train) [138][1340/1879] lr: 5.5147e-02 eta: 1 day, 7:30:03 time: 0.5389 data_time: 0.0342 memory: 18108 grad_norm: 3.5681 loss: 3.9455 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.2304 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.7150 2023/02/01 22:26:39 - mmengine - INFO - Epoch(train) [138][1360/1879] lr: 5.5140e-02 eta: 1 day, 7:29:54 time: 0.5365 data_time: 0.0354 memory: 18108 grad_norm: 3.5180 loss: 3.8457 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2464 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.5994 2023/02/01 22:26:49 - mmengine - INFO - Epoch(train) [138][1380/1879] lr: 5.5132e-02 eta: 1 day, 7:29:44 time: 0.5361 data_time: 0.0286 memory: 18108 grad_norm: 3.6161 loss: 3.8787 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2122 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.6665 2023/02/01 22:27:00 - mmengine - INFO - Epoch(train) [138][1400/1879] lr: 5.5125e-02 eta: 1 day, 7:29:34 time: 0.5466 data_time: 0.0416 memory: 18108 grad_norm: 3.5067 loss: 3.9411 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2800 top1_acc_1: 0.6118 top5_acc_1: 0.7529 loss_cls_1: 1.6611 2023/02/01 22:27:11 - mmengine - INFO - Epoch(train) [138][1420/1879] lr: 5.5117e-02 eta: 1 day, 7:29:25 time: 0.5500 data_time: 0.0290 memory: 18108 grad_norm: 3.5640 loss: 4.0573 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3150 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.7423 2023/02/01 22:27:22 - mmengine - INFO - Epoch(train) [138][1440/1879] lr: 5.5110e-02 eta: 1 day, 7:29:15 time: 0.5206 data_time: 0.0353 memory: 18108 grad_norm: 3.5408 loss: 3.6067 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0264 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.5804 2023/02/01 22:27:33 - mmengine - INFO - Epoch(train) [138][1460/1879] lr: 5.5102e-02 eta: 1 day, 7:29:05 time: 0.5480 data_time: 0.0303 memory: 18108 grad_norm: 3.5886 loss: 3.8749 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2538 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.6211 2023/02/01 22:27:44 - mmengine - INFO - Epoch(train) [138][1480/1879] lr: 5.5095e-02 eta: 1 day, 7:28:56 time: 0.5462 data_time: 0.0436 memory: 18108 grad_norm: 3.5616 loss: 3.8436 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.2319 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.6117 2023/02/01 22:27:54 - mmengine - INFO - Epoch(train) [138][1500/1879] lr: 5.5087e-02 eta: 1 day, 7:28:46 time: 0.5263 data_time: 0.0291 memory: 18108 grad_norm: 3.5476 loss: 3.9414 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2598 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.6816 2023/02/01 22:28:05 - mmengine - INFO - Epoch(train) [138][1520/1879] lr: 5.5080e-02 eta: 1 day, 7:28:36 time: 0.5289 data_time: 0.0354 memory: 18108 grad_norm: 3.6240 loss: 4.3227 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.6004 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.7224 2023/02/01 22:28:16 - mmengine - INFO - Epoch(train) [138][1540/1879] lr: 5.5072e-02 eta: 1 day, 7:28:26 time: 0.5468 data_time: 0.0375 memory: 18108 grad_norm: 3.5598 loss: 4.2486 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.6124 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.6361 2023/02/01 22:28:26 - mmengine - INFO - Epoch(train) [138][1560/1879] lr: 5.5065e-02 eta: 1 day, 7:28:17 time: 0.5364 data_time: 0.0349 memory: 18108 grad_norm: 3.5632 loss: 4.0364 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3387 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.6977 2023/02/01 22:28:36 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 22:28:37 - mmengine - INFO - Epoch(train) [138][1580/1879] lr: 5.5057e-02 eta: 1 day, 7:28:07 time: 0.5395 data_time: 0.0299 memory: 18108 grad_norm: 3.5225 loss: 3.9028 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2899 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.6129 2023/02/01 22:28:48 - mmengine - INFO - Epoch(train) [138][1600/1879] lr: 5.5050e-02 eta: 1 day, 7:27:57 time: 0.5387 data_time: 0.0446 memory: 18108 grad_norm: 3.5823 loss: 4.0559 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2901 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.7658 2023/02/01 22:28:59 - mmengine - INFO - Epoch(train) [138][1620/1879] lr: 5.5042e-02 eta: 1 day, 7:27:48 time: 0.5462 data_time: 0.0290 memory: 18108 grad_norm: 3.5948 loss: 4.0787 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3605 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.7183 2023/02/01 22:29:09 - mmengine - INFO - Epoch(train) [138][1640/1879] lr: 5.5035e-02 eta: 1 day, 7:27:37 time: 0.5135 data_time: 0.0362 memory: 18108 grad_norm: 3.5762 loss: 4.2603 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4557 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.8046 2023/02/01 22:29:20 - mmengine - INFO - Epoch(train) [138][1660/1879] lr: 5.5027e-02 eta: 1 day, 7:27:28 time: 0.5320 data_time: 0.0311 memory: 18108 grad_norm: 3.5850 loss: 4.2221 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4861 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.7360 2023/02/01 22:29:31 - mmengine - INFO - Epoch(train) [138][1680/1879] lr: 5.5020e-02 eta: 1 day, 7:27:18 time: 0.5435 data_time: 0.0458 memory: 18108 grad_norm: 3.5198 loss: 4.1260 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.3174 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.8086 2023/02/01 22:29:41 - mmengine - INFO - Epoch(train) [138][1700/1879] lr: 5.5012e-02 eta: 1 day, 7:27:08 time: 0.5294 data_time: 0.0311 memory: 18108 grad_norm: 3.5807 loss: 4.0567 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.4586 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.5980 2023/02/01 22:29:52 - mmengine - INFO - Epoch(train) [138][1720/1879] lr: 5.5005e-02 eta: 1 day, 7:26:58 time: 0.5266 data_time: 0.0343 memory: 18108 grad_norm: 3.6054 loss: 4.1082 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3519 top1_acc_1: 0.5176 top5_acc_1: 0.7412 loss_cls_1: 1.7562 2023/02/01 22:30:02 - mmengine - INFO - Epoch(train) [138][1740/1879] lr: 5.4997e-02 eta: 1 day, 7:26:48 time: 0.5250 data_time: 0.0306 memory: 18108 grad_norm: 3.6209 loss: 3.8797 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2156 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.6641 2023/02/01 22:30:13 - mmengine - INFO - Epoch(train) [138][1760/1879] lr: 5.4990e-02 eta: 1 day, 7:26:38 time: 0.5072 data_time: 0.0332 memory: 18108 grad_norm: 3.5750 loss: 4.1382 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4450 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.6931 2023/02/01 22:30:23 - mmengine - INFO - Epoch(train) [138][1780/1879] lr: 5.4982e-02 eta: 1 day, 7:26:28 time: 0.5263 data_time: 0.0325 memory: 18108 grad_norm: 3.6482 loss: 4.0460 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3346 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.7114 2023/02/01 22:30:33 - mmengine - INFO - Epoch(train) [138][1800/1879] lr: 5.4975e-02 eta: 1 day, 7:26:18 time: 0.5144 data_time: 0.0337 memory: 18108 grad_norm: 3.4872 loss: 4.1019 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3663 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7357 2023/02/01 22:30:44 - mmengine - INFO - Epoch(train) [138][1820/1879] lr: 5.4967e-02 eta: 1 day, 7:26:08 time: 0.5264 data_time: 0.0390 memory: 18108 grad_norm: 3.5462 loss: 4.0876 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3454 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7422 2023/02/01 22:30:54 - mmengine - INFO - Epoch(train) [138][1840/1879] lr: 5.4960e-02 eta: 1 day, 7:25:58 time: 0.5010 data_time: 0.0334 memory: 18108 grad_norm: 3.5039 loss: 3.8039 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.1589 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.6450 2023/02/01 22:31:05 - mmengine - INFO - Epoch(train) [138][1860/1879] lr: 5.4952e-02 eta: 1 day, 7:25:48 time: 0.5374 data_time: 0.0312 memory: 18108 grad_norm: 3.5283 loss: 4.0165 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2917 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.7248 2023/02/01 22:31:14 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 22:31:14 - mmengine - INFO - Epoch(train) [138][1879/1879] lr: 5.4945e-02 eta: 1 day, 7:25:38 time: 0.5057 data_time: 0.0334 memory: 18108 grad_norm: 3.5666 loss: 3.8649 top1_acc_0: 0.2857 top5_acc_0: 0.5714 loss_cls_0: 2.1571 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7078 2023/02/01 22:31:29 - mmengine - INFO - Epoch(train) [139][ 20/1879] lr: 5.4938e-02 eta: 1 day, 7:25:31 time: 0.7041 data_time: 0.2552 memory: 18108 grad_norm: 3.4687 loss: 3.9233 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.3317 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.5915 2023/02/01 22:31:39 - mmengine - INFO - Epoch(train) [139][ 40/1879] lr: 5.4930e-02 eta: 1 day, 7:25:20 time: 0.4737 data_time: 0.0321 memory: 18108 grad_norm: 3.5430 loss: 4.0245 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3755 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.6490 2023/02/01 22:31:48 - mmengine - INFO - Epoch(train) [139][ 60/1879] lr: 5.4923e-02 eta: 1 day, 7:25:10 time: 0.4824 data_time: 0.0340 memory: 18108 grad_norm: 3.6593 loss: 4.0433 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4060 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6373 2023/02/01 22:31:59 - mmengine - INFO - Epoch(train) [139][ 80/1879] lr: 5.4915e-02 eta: 1 day, 7:24:59 time: 0.5136 data_time: 0.0344 memory: 18108 grad_norm: 3.5247 loss: 3.9906 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3558 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.6347 2023/02/01 22:32:08 - mmengine - INFO - Epoch(train) [139][ 100/1879] lr: 5.4908e-02 eta: 1 day, 7:24:49 time: 0.4770 data_time: 0.0359 memory: 18108 grad_norm: 3.4924 loss: 3.8494 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2209 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.6285 2023/02/01 22:32:18 - mmengine - INFO - Epoch(train) [139][ 120/1879] lr: 5.4900e-02 eta: 1 day, 7:24:38 time: 0.4774 data_time: 0.0320 memory: 18108 grad_norm: 3.5584 loss: 3.9213 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3385 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5828 2023/02/01 22:32:28 - mmengine - INFO - Epoch(train) [139][ 140/1879] lr: 5.4893e-02 eta: 1 day, 7:24:27 time: 0.4978 data_time: 0.0432 memory: 18108 grad_norm: 3.5274 loss: 3.9673 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3273 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.6400 2023/02/01 22:32:38 - mmengine - INFO - Epoch(train) [139][ 160/1879] lr: 5.4885e-02 eta: 1 day, 7:24:17 time: 0.4946 data_time: 0.0326 memory: 18108 grad_norm: 3.5885 loss: 4.0712 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4818 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.5894 2023/02/01 22:32:47 - mmengine - INFO - Epoch(train) [139][ 180/1879] lr: 5.4878e-02 eta: 1 day, 7:24:06 time: 0.4719 data_time: 0.0329 memory: 18108 grad_norm: 3.5633 loss: 3.8634 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1314 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.7320 2023/02/01 22:32:56 - mmengine - INFO - Epoch(train) [139][ 200/1879] lr: 5.4870e-02 eta: 1 day, 7:23:55 time: 0.4700 data_time: 0.0319 memory: 18108 grad_norm: 3.6273 loss: 4.1144 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4067 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.7077 2023/02/01 22:33:06 - mmengine - INFO - Epoch(train) [139][ 220/1879] lr: 5.4863e-02 eta: 1 day, 7:23:45 time: 0.5025 data_time: 0.0404 memory: 18108 grad_norm: 3.5623 loss: 4.0068 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3791 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.6277 2023/02/01 22:33:16 - mmengine - INFO - Epoch(train) [139][ 240/1879] lr: 5.4855e-02 eta: 1 day, 7:23:34 time: 0.4774 data_time: 0.0334 memory: 18108 grad_norm: 3.5435 loss: 3.9110 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3042 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.6067 2023/02/01 22:33:26 - mmengine - INFO - Epoch(train) [139][ 260/1879] lr: 5.4848e-02 eta: 1 day, 7:23:23 time: 0.4831 data_time: 0.0334 memory: 18108 grad_norm: 3.5271 loss: 3.7761 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.1380 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.6381 2023/02/01 22:33:36 - mmengine - INFO - Epoch(train) [139][ 280/1879] lr: 5.4840e-02 eta: 1 day, 7:23:13 time: 0.4926 data_time: 0.0329 memory: 18108 grad_norm: 3.5749 loss: 4.0494 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.4091 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.6403 2023/02/01 22:33:46 - mmengine - INFO - Epoch(train) [139][ 300/1879] lr: 5.4833e-02 eta: 1 day, 7:23:03 time: 0.4998 data_time: 0.0404 memory: 18108 grad_norm: 3.4771 loss: 3.9403 top1_acc_0: 0.4375 top5_acc_0: 1.0000 loss_cls_0: 2.3052 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.6351 2023/02/01 22:33:55 - mmengine - INFO - Epoch(train) [139][ 320/1879] lr: 5.4825e-02 eta: 1 day, 7:22:52 time: 0.4804 data_time: 0.0346 memory: 18108 grad_norm: 3.4922 loss: 3.9916 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.2868 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.7048 2023/02/01 22:34:05 - mmengine - INFO - Epoch(train) [139][ 340/1879] lr: 5.4818e-02 eta: 1 day, 7:22:41 time: 0.4871 data_time: 0.0350 memory: 18108 grad_norm: 3.5151 loss: 3.8126 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2662 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.5464 2023/02/01 22:34:16 - mmengine - INFO - Epoch(train) [139][ 360/1879] lr: 5.4810e-02 eta: 1 day, 7:22:31 time: 0.5291 data_time: 0.0393 memory: 18108 grad_norm: 3.6442 loss: 3.9951 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3587 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 1.6364 2023/02/01 22:34:26 - mmengine - INFO - Epoch(train) [139][ 380/1879] lr: 5.4803e-02 eta: 1 day, 7:22:21 time: 0.4971 data_time: 0.0337 memory: 18108 grad_norm: 3.6343 loss: 3.9406 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 2.2266 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.7140 2023/02/01 22:34:35 - mmengine - INFO - Epoch(train) [139][ 400/1879] lr: 5.4795e-02 eta: 1 day, 7:22:10 time: 0.4942 data_time: 0.0337 memory: 18108 grad_norm: 3.5847 loss: 4.1126 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4464 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.6662 2023/02/01 22:34:46 - mmengine - INFO - Epoch(train) [139][ 420/1879] lr: 5.4788e-02 eta: 1 day, 7:22:00 time: 0.5070 data_time: 0.0328 memory: 18108 grad_norm: 3.5051 loss: 3.6986 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0815 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.6171 2023/02/01 22:34:56 - mmengine - INFO - Epoch(train) [139][ 440/1879] lr: 5.4780e-02 eta: 1 day, 7:21:50 time: 0.5143 data_time: 0.0405 memory: 18108 grad_norm: 3.6155 loss: 4.1910 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4206 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.7703 2023/02/01 22:35:06 - mmengine - INFO - Epoch(train) [139][ 460/1879] lr: 5.4773e-02 eta: 1 day, 7:21:40 time: 0.4977 data_time: 0.0327 memory: 18108 grad_norm: 3.5750 loss: 4.1072 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4162 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.6911 2023/02/01 22:35:16 - mmengine - INFO - Epoch(train) [139][ 480/1879] lr: 5.4765e-02 eta: 1 day, 7:21:29 time: 0.5001 data_time: 0.0317 memory: 18108 grad_norm: 3.6017 loss: 4.0419 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4197 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.6222 2023/02/01 22:35:26 - mmengine - INFO - Epoch(train) [139][ 500/1879] lr: 5.4758e-02 eta: 1 day, 7:21:19 time: 0.4980 data_time: 0.0328 memory: 18108 grad_norm: 3.6131 loss: 4.0151 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4021 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.6130 2023/02/01 22:35:36 - mmengine - INFO - Epoch(train) [139][ 520/1879] lr: 5.4750e-02 eta: 1 day, 7:21:09 time: 0.5157 data_time: 0.0418 memory: 18108 grad_norm: 3.5856 loss: 4.1400 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4823 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.6576 2023/02/01 22:35:46 - mmengine - INFO - Epoch(train) [139][ 540/1879] lr: 5.4743e-02 eta: 1 day, 7:20:58 time: 0.4929 data_time: 0.0333 memory: 18108 grad_norm: 3.5389 loss: 4.1634 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.4309 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.7325 2023/02/01 22:35:56 - mmengine - INFO - Epoch(train) [139][ 560/1879] lr: 5.4735e-02 eta: 1 day, 7:20:48 time: 0.5092 data_time: 0.0328 memory: 18108 grad_norm: 3.4883 loss: 3.8588 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.2288 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6300 2023/02/01 22:36:06 - mmengine - INFO - Epoch(train) [139][ 580/1879] lr: 5.4728e-02 eta: 1 day, 7:20:38 time: 0.5112 data_time: 0.0382 memory: 18108 grad_norm: 3.4851 loss: 3.7941 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1377 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.6564 2023/02/01 22:36:17 - mmengine - INFO - Epoch(train) [139][ 600/1879] lr: 5.4720e-02 eta: 1 day, 7:20:28 time: 0.5084 data_time: 0.0365 memory: 18108 grad_norm: 3.5893 loss: 3.8376 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1672 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.6703 2023/02/01 22:36:27 - mmengine - INFO - Epoch(train) [139][ 620/1879] lr: 5.4713e-02 eta: 1 day, 7:20:18 time: 0.5245 data_time: 0.0401 memory: 18108 grad_norm: 3.5577 loss: 4.0041 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3447 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.6595 2023/02/01 22:36:37 - mmengine - INFO - Epoch(train) [139][ 640/1879] lr: 5.4705e-02 eta: 1 day, 7:20:07 time: 0.5058 data_time: 0.0249 memory: 18108 grad_norm: 3.7066 loss: 4.0526 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.4450 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.6075 2023/02/01 22:36:48 - mmengine - INFO - Epoch(train) [139][ 660/1879] lr: 5.4698e-02 eta: 1 day, 7:19:57 time: 0.5139 data_time: 0.0468 memory: 18108 grad_norm: 3.5681 loss: 4.1026 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3386 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.7640 2023/02/01 22:36:58 - mmengine - INFO - Epoch(train) [139][ 680/1879] lr: 5.4690e-02 eta: 1 day, 7:19:47 time: 0.5106 data_time: 0.0303 memory: 18108 grad_norm: 3.6239 loss: 4.1681 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.5629 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6052 2023/02/01 22:37:07 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 22:37:08 - mmengine - INFO - Epoch(train) [139][ 700/1879] lr: 5.4683e-02 eta: 1 day, 7:19:37 time: 0.5127 data_time: 0.0355 memory: 18108 grad_norm: 3.5933 loss: 3.8270 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.1943 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.6326 2023/02/01 22:37:18 - mmengine - INFO - Epoch(train) [139][ 720/1879] lr: 5.4675e-02 eta: 1 day, 7:19:27 time: 0.5149 data_time: 0.0362 memory: 18108 grad_norm: 3.5853 loss: 4.0674 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3933 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.6741 2023/02/01 22:37:29 - mmengine - INFO - Epoch(train) [139][ 740/1879] lr: 5.4668e-02 eta: 1 day, 7:19:16 time: 0.5084 data_time: 0.0378 memory: 18108 grad_norm: 3.4721 loss: 3.9398 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2684 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6714 2023/02/01 22:37:39 - mmengine - INFO - Epoch(train) [139][ 760/1879] lr: 5.4660e-02 eta: 1 day, 7:19:06 time: 0.5241 data_time: 0.0309 memory: 18108 grad_norm: 3.5495 loss: 4.0903 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.3958 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.6945 2023/02/01 22:37:49 - mmengine - INFO - Epoch(train) [139][ 780/1879] lr: 5.4653e-02 eta: 1 day, 7:18:56 time: 0.5116 data_time: 0.0444 memory: 18108 grad_norm: 3.5949 loss: 4.0183 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3754 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.6429 2023/02/01 22:37:59 - mmengine - INFO - Epoch(train) [139][ 800/1879] lr: 5.4645e-02 eta: 1 day, 7:18:46 time: 0.4978 data_time: 0.0298 memory: 18108 grad_norm: 3.6208 loss: 3.9639 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2699 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.6940 2023/02/01 22:38:10 - mmengine - INFO - Epoch(train) [139][ 820/1879] lr: 5.4638e-02 eta: 1 day, 7:18:36 time: 0.5146 data_time: 0.0404 memory: 18108 grad_norm: 3.5089 loss: 3.9537 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4079 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.5459 2023/02/01 22:38:20 - mmengine - INFO - Epoch(train) [139][ 840/1879] lr: 5.4630e-02 eta: 1 day, 7:18:26 time: 0.5185 data_time: 0.0295 memory: 18108 grad_norm: 3.5957 loss: 3.9915 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2702 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.7212 2023/02/01 22:38:30 - mmengine - INFO - Epoch(train) [139][ 860/1879] lr: 5.4623e-02 eta: 1 day, 7:18:16 time: 0.5151 data_time: 0.0448 memory: 18108 grad_norm: 3.5990 loss: 4.2002 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.5150 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.6852 2023/02/01 22:38:41 - mmengine - INFO - Epoch(train) [139][ 880/1879] lr: 5.4615e-02 eta: 1 day, 7:18:05 time: 0.5077 data_time: 0.0309 memory: 18108 grad_norm: 3.5787 loss: 3.9389 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3783 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.5606 2023/02/01 22:38:51 - mmengine - INFO - Epoch(train) [139][ 900/1879] lr: 5.4608e-02 eta: 1 day, 7:17:55 time: 0.5080 data_time: 0.0396 memory: 18108 grad_norm: 3.6749 loss: 4.0594 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4279 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6315 2023/02/01 22:39:01 - mmengine - INFO - Epoch(train) [139][ 920/1879] lr: 5.4600e-02 eta: 1 day, 7:17:45 time: 0.5218 data_time: 0.0369 memory: 18108 grad_norm: 3.5611 loss: 3.7848 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.1521 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.6327 2023/02/01 22:39:11 - mmengine - INFO - Epoch(train) [139][ 940/1879] lr: 5.4593e-02 eta: 1 day, 7:17:35 time: 0.5093 data_time: 0.0370 memory: 18108 grad_norm: 3.4983 loss: 3.8968 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2799 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.6169 2023/02/01 22:39:22 - mmengine - INFO - Epoch(train) [139][ 960/1879] lr: 5.4585e-02 eta: 1 day, 7:17:25 time: 0.5141 data_time: 0.0303 memory: 18108 grad_norm: 3.5505 loss: 3.7263 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9772 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7490 2023/02/01 22:39:32 - mmengine - INFO - Epoch(train) [139][ 980/1879] lr: 5.4578e-02 eta: 1 day, 7:17:14 time: 0.5091 data_time: 0.0437 memory: 18108 grad_norm: 3.6204 loss: 4.1706 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3496 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.8210 2023/02/01 22:39:42 - mmengine - INFO - Epoch(train) [139][1000/1879] lr: 5.4570e-02 eta: 1 day, 7:17:04 time: 0.5215 data_time: 0.0297 memory: 18108 grad_norm: 3.5658 loss: 4.0612 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3292 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.7321 2023/02/01 22:39:52 - mmengine - INFO - Epoch(train) [139][1020/1879] lr: 5.4563e-02 eta: 1 day, 7:16:54 time: 0.5095 data_time: 0.0395 memory: 18108 grad_norm: 3.5732 loss: 3.9614 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3105 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6509 2023/02/01 22:40:03 - mmengine - INFO - Epoch(train) [139][1040/1879] lr: 5.4555e-02 eta: 1 day, 7:16:44 time: 0.5160 data_time: 0.0369 memory: 18108 grad_norm: 3.5219 loss: 4.0671 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5093 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.5578 2023/02/01 22:40:13 - mmengine - INFO - Epoch(train) [139][1060/1879] lr: 5.4548e-02 eta: 1 day, 7:16:34 time: 0.5153 data_time: 0.0366 memory: 18108 grad_norm: 3.5369 loss: 4.0232 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3099 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7133 2023/02/01 22:40:23 - mmengine - INFO - Epoch(train) [139][1080/1879] lr: 5.4540e-02 eta: 1 day, 7:16:24 time: 0.5133 data_time: 0.0299 memory: 18108 grad_norm: 3.5990 loss: 4.0229 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.4430 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.5799 2023/02/01 22:40:34 - mmengine - INFO - Epoch(train) [139][1100/1879] lr: 5.4533e-02 eta: 1 day, 7:16:14 time: 0.5154 data_time: 0.0392 memory: 18108 grad_norm: 3.5983 loss: 4.0190 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3884 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.6305 2023/02/01 22:40:44 - mmengine - INFO - Epoch(train) [139][1120/1879] lr: 5.4525e-02 eta: 1 day, 7:16:04 time: 0.5198 data_time: 0.0308 memory: 18108 grad_norm: 3.5665 loss: 3.8594 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1502 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.7092 2023/02/01 22:40:55 - mmengine - INFO - Epoch(train) [139][1140/1879] lr: 5.4518e-02 eta: 1 day, 7:15:54 time: 0.5234 data_time: 0.0428 memory: 18108 grad_norm: 3.4985 loss: 4.0395 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.2768 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.7627 2023/02/01 22:41:05 - mmengine - INFO - Epoch(train) [139][1160/1879] lr: 5.4510e-02 eta: 1 day, 7:15:44 time: 0.5291 data_time: 0.0242 memory: 18108 grad_norm: 3.5794 loss: 4.0990 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5116 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.5875 2023/02/01 22:41:15 - mmengine - INFO - Epoch(train) [139][1180/1879] lr: 5.4503e-02 eta: 1 day, 7:15:34 time: 0.5112 data_time: 0.0377 memory: 18108 grad_norm: 3.5319 loss: 4.0437 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3628 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6809 2023/02/01 22:41:26 - mmengine - INFO - Epoch(train) [139][1200/1879] lr: 5.4495e-02 eta: 1 day, 7:15:24 time: 0.5225 data_time: 0.0305 memory: 18108 grad_norm: 3.4842 loss: 3.7195 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.0403 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.6792 2023/02/01 22:41:37 - mmengine - INFO - Epoch(train) [139][1220/1879] lr: 5.4488e-02 eta: 1 day, 7:15:14 time: 0.5367 data_time: 0.0457 memory: 18108 grad_norm: 3.5465 loss: 3.9834 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2776 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.7058 2023/02/01 22:41:47 - mmengine - INFO - Epoch(train) [139][1240/1879] lr: 5.4480e-02 eta: 1 day, 7:15:04 time: 0.5348 data_time: 0.0301 memory: 18108 grad_norm: 3.5168 loss: 3.8358 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2406 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.5951 2023/02/01 22:41:58 - mmengine - INFO - Epoch(train) [139][1260/1879] lr: 5.4473e-02 eta: 1 day, 7:14:54 time: 0.5237 data_time: 0.0381 memory: 18108 grad_norm: 3.5341 loss: 3.7996 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1858 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.6137 2023/02/01 22:42:08 - mmengine - INFO - Epoch(train) [139][1280/1879] lr: 5.4465e-02 eta: 1 day, 7:14:44 time: 0.5284 data_time: 0.0298 memory: 18108 grad_norm: 3.5596 loss: 3.9680 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3975 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.5704 2023/02/01 22:42:19 - mmengine - INFO - Epoch(train) [139][1300/1879] lr: 5.4458e-02 eta: 1 day, 7:14:34 time: 0.5206 data_time: 0.0377 memory: 18108 grad_norm: 3.6714 loss: 3.9417 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.3069 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6348 2023/02/01 22:42:30 - mmengine - INFO - Epoch(train) [139][1320/1879] lr: 5.4450e-02 eta: 1 day, 7:14:24 time: 0.5365 data_time: 0.0315 memory: 18108 grad_norm: 3.6243 loss: 4.0517 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.3331 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.7186 2023/02/01 22:42:40 - mmengine - INFO - Epoch(train) [139][1340/1879] lr: 5.4443e-02 eta: 1 day, 7:14:14 time: 0.5179 data_time: 0.0388 memory: 18108 grad_norm: 3.6535 loss: 3.9337 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3447 top1_acc_1: 0.6588 top5_acc_1: 0.9176 loss_cls_1: 1.5890 2023/02/01 22:42:51 - mmengine - INFO - Epoch(train) [139][1360/1879] lr: 5.4435e-02 eta: 1 day, 7:14:05 time: 0.5492 data_time: 0.0368 memory: 18108 grad_norm: 3.7035 loss: 4.0952 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4426 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.6526 2023/02/01 22:43:02 - mmengine - INFO - Epoch(train) [139][1380/1879] lr: 5.4428e-02 eta: 1 day, 7:13:55 time: 0.5265 data_time: 0.0366 memory: 18108 grad_norm: 3.5255 loss: 3.9501 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3835 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.5666 2023/02/01 22:43:12 - mmengine - INFO - Epoch(train) [139][1400/1879] lr: 5.4420e-02 eta: 1 day, 7:13:45 time: 0.5295 data_time: 0.0298 memory: 18108 grad_norm: 3.6169 loss: 4.0906 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.4288 top1_acc_1: 0.6588 top5_acc_1: 0.7647 loss_cls_1: 1.6617 2023/02/01 22:43:23 - mmengine - INFO - Epoch(train) [139][1420/1879] lr: 5.4413e-02 eta: 1 day, 7:13:35 time: 0.5283 data_time: 0.0419 memory: 18108 grad_norm: 3.6505 loss: 4.2420 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5992 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.6428 2023/02/01 22:43:33 - mmengine - INFO - Epoch(train) [139][1440/1879] lr: 5.4405e-02 eta: 1 day, 7:13:25 time: 0.5300 data_time: 0.0311 memory: 18108 grad_norm: 3.5311 loss: 3.9178 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2773 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6405 2023/02/01 22:43:44 - mmengine - INFO - Epoch(train) [139][1460/1879] lr: 5.4398e-02 eta: 1 day, 7:13:15 time: 0.5224 data_time: 0.0336 memory: 18108 grad_norm: 3.5880 loss: 4.1476 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4556 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6920 2023/02/01 22:43:54 - mmengine - INFO - Epoch(train) [139][1480/1879] lr: 5.4390e-02 eta: 1 day, 7:13:05 time: 0.5197 data_time: 0.0331 memory: 18108 grad_norm: 3.6057 loss: 4.0679 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3705 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.6974 2023/02/01 22:44:05 - mmengine - INFO - Epoch(train) [139][1500/1879] lr: 5.4383e-02 eta: 1 day, 7:12:55 time: 0.5115 data_time: 0.0374 memory: 18108 grad_norm: 3.6154 loss: 3.9126 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2402 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.6724 2023/02/01 22:44:15 - mmengine - INFO - Epoch(train) [139][1520/1879] lr: 5.4375e-02 eta: 1 day, 7:12:45 time: 0.5158 data_time: 0.0298 memory: 18108 grad_norm: 3.5855 loss: 4.0117 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.3429 top1_acc_1: 0.6235 top5_acc_1: 0.7412 loss_cls_1: 1.6688 2023/02/01 22:44:25 - mmengine - INFO - Epoch(train) [139][1540/1879] lr: 5.4368e-02 eta: 1 day, 7:12:35 time: 0.5166 data_time: 0.0388 memory: 18108 grad_norm: 3.5261 loss: 3.7963 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.1223 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.6740 2023/02/01 22:44:36 - mmengine - INFO - Epoch(train) [139][1560/1879] lr: 5.4360e-02 eta: 1 day, 7:12:25 time: 0.5159 data_time: 0.0387 memory: 18108 grad_norm: 3.5141 loss: 3.8785 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2699 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6085 2023/02/01 22:44:46 - mmengine - INFO - Epoch(train) [139][1580/1879] lr: 5.4353e-02 eta: 1 day, 7:12:15 time: 0.5271 data_time: 0.0368 memory: 18108 grad_norm: 3.5303 loss: 3.7930 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1612 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6318 2023/02/01 22:44:56 - mmengine - INFO - Epoch(train) [139][1600/1879] lr: 5.4345e-02 eta: 1 day, 7:12:04 time: 0.5078 data_time: 0.0289 memory: 18108 grad_norm: 3.6028 loss: 4.1938 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.4472 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7466 2023/02/01 22:45:06 - mmengine - INFO - Epoch(train) [139][1620/1879] lr: 5.4338e-02 eta: 1 day, 7:11:54 time: 0.5069 data_time: 0.0450 memory: 18108 grad_norm: 3.6018 loss: 4.1092 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4421 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.6671 2023/02/01 22:45:17 - mmengine - INFO - Epoch(train) [139][1640/1879] lr: 5.4330e-02 eta: 1 day, 7:11:44 time: 0.5069 data_time: 0.0303 memory: 18108 grad_norm: 3.6261 loss: 4.1415 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4702 top1_acc_1: 0.6706 top5_acc_1: 0.9294 loss_cls_1: 1.6713 2023/02/01 22:45:27 - mmengine - INFO - Epoch(train) [139][1660/1879] lr: 5.4323e-02 eta: 1 day, 7:11:34 time: 0.5230 data_time: 0.0385 memory: 18108 grad_norm: 3.5611 loss: 3.9305 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2627 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.6678 2023/02/01 22:45:37 - mmengine - INFO - Epoch(train) [139][1680/1879] lr: 5.4315e-02 eta: 1 day, 7:11:24 time: 0.5020 data_time: 0.0298 memory: 18108 grad_norm: 3.5381 loss: 3.9565 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2437 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.7128 2023/02/01 22:45:47 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 22:45:47 - mmengine - INFO - Epoch(train) [139][1700/1879] lr: 5.4308e-02 eta: 1 day, 7:11:14 time: 0.5180 data_time: 0.0458 memory: 18108 grad_norm: 3.4382 loss: 3.7192 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0508 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6684 2023/02/01 22:45:58 - mmengine - INFO - Epoch(train) [139][1720/1879] lr: 5.4300e-02 eta: 1 day, 7:11:04 time: 0.5291 data_time: 0.0301 memory: 18108 grad_norm: 3.5628 loss: 3.8617 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2168 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.6449 2023/02/01 22:46:08 - mmengine - INFO - Epoch(train) [139][1740/1879] lr: 5.4293e-02 eta: 1 day, 7:10:54 time: 0.5137 data_time: 0.0377 memory: 18108 grad_norm: 3.6950 loss: 4.3625 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.6819 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.6807 2023/02/01 22:46:18 - mmengine - INFO - Epoch(train) [139][1760/1879] lr: 5.4285e-02 eta: 1 day, 7:10:43 time: 0.4973 data_time: 0.0300 memory: 18108 grad_norm: 3.6030 loss: 3.9788 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3730 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.6058 2023/02/01 22:46:29 - mmengine - INFO - Epoch(train) [139][1780/1879] lr: 5.4278e-02 eta: 1 day, 7:10:33 time: 0.5156 data_time: 0.0366 memory: 18108 grad_norm: 3.5959 loss: 4.0072 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3630 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.6442 2023/02/01 22:46:39 - mmengine - INFO - Epoch(train) [139][1800/1879] lr: 5.4270e-02 eta: 1 day, 7:10:23 time: 0.5260 data_time: 0.0309 memory: 18108 grad_norm: 3.5212 loss: 3.8718 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1590 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7128 2023/02/01 22:46:49 - mmengine - INFO - Epoch(train) [139][1820/1879] lr: 5.4263e-02 eta: 1 day, 7:10:13 time: 0.5020 data_time: 0.0386 memory: 18108 grad_norm: 3.5607 loss: 3.8529 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.2711 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.5818 2023/02/01 22:46:59 - mmengine - INFO - Epoch(train) [139][1840/1879] lr: 5.4255e-02 eta: 1 day, 7:10:02 time: 0.5081 data_time: 0.0297 memory: 18108 grad_norm: 3.5485 loss: 4.1783 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.5685 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.6098 2023/02/01 22:47:10 - mmengine - INFO - Epoch(train) [139][1860/1879] lr: 5.4248e-02 eta: 1 day, 7:09:52 time: 0.5219 data_time: 0.0379 memory: 18108 grad_norm: 3.6286 loss: 4.0271 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3385 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.6886 2023/02/01 22:47:19 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 22:47:19 - mmengine - INFO - Epoch(train) [139][1879/1879] lr: 5.4241e-02 eta: 1 day, 7:09:42 time: 0.4812 data_time: 0.0329 memory: 18108 grad_norm: 3.5871 loss: 3.8852 top1_acc_0: 0.4286 top5_acc_0: 0.5714 loss_cls_0: 2.2508 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.6344 2023/02/01 22:47:34 - mmengine - INFO - Epoch(train) [140][ 20/1879] lr: 5.4233e-02 eta: 1 day, 7:09:36 time: 0.7250 data_time: 0.2497 memory: 18108 grad_norm: 3.5762 loss: 3.9947 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3221 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.6726 2023/02/01 22:47:44 - mmengine - INFO - Epoch(train) [140][ 40/1879] lr: 5.4226e-02 eta: 1 day, 7:09:25 time: 0.4717 data_time: 0.0314 memory: 18108 grad_norm: 3.5791 loss: 4.0687 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.5342 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.5346 2023/02/01 22:47:54 - mmengine - INFO - Epoch(train) [140][ 60/1879] lr: 5.4218e-02 eta: 1 day, 7:09:14 time: 0.4921 data_time: 0.0351 memory: 18108 grad_norm: 3.5802 loss: 3.9411 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.2912 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.6499 2023/02/01 22:48:04 - mmengine - INFO - Epoch(train) [140][ 80/1879] lr: 5.4211e-02 eta: 1 day, 7:09:04 time: 0.5179 data_time: 0.0396 memory: 18108 grad_norm: 3.4825 loss: 3.7813 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1405 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.6408 2023/02/01 22:48:14 - mmengine - INFO - Epoch(train) [140][ 100/1879] lr: 5.4203e-02 eta: 1 day, 7:08:54 time: 0.4862 data_time: 0.0372 memory: 18108 grad_norm: 3.6034 loss: 3.8388 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1710 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.6678 2023/02/01 22:48:23 - mmengine - INFO - Epoch(train) [140][ 120/1879] lr: 5.4196e-02 eta: 1 day, 7:08:43 time: 0.4735 data_time: 0.0320 memory: 18108 grad_norm: 3.5699 loss: 3.8914 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2664 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.6251 2023/02/01 22:48:33 - mmengine - INFO - Epoch(train) [140][ 140/1879] lr: 5.4188e-02 eta: 1 day, 7:08:33 time: 0.5065 data_time: 0.0350 memory: 18108 grad_norm: 3.6055 loss: 3.8927 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2552 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.6375 2023/02/01 22:48:43 - mmengine - INFO - Epoch(train) [140][ 160/1879] lr: 5.4181e-02 eta: 1 day, 7:08:22 time: 0.4879 data_time: 0.0383 memory: 18108 grad_norm: 3.6220 loss: 3.8490 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2395 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6095 2023/02/01 22:48:53 - mmengine - INFO - Epoch(train) [140][ 180/1879] lr: 5.4173e-02 eta: 1 day, 7:08:11 time: 0.4846 data_time: 0.0368 memory: 18108 grad_norm: 3.6796 loss: 3.9313 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3214 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6099 2023/02/01 22:49:03 - mmengine - INFO - Epoch(train) [140][ 200/1879] lr: 5.4166e-02 eta: 1 day, 7:08:01 time: 0.4916 data_time: 0.0305 memory: 18108 grad_norm: 3.6048 loss: 3.9662 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.3579 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.6083 2023/02/01 22:49:13 - mmengine - INFO - Epoch(train) [140][ 220/1879] lr: 5.4158e-02 eta: 1 day, 7:07:51 time: 0.5217 data_time: 0.0354 memory: 18108 grad_norm: 3.4874 loss: 3.6319 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0260 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6060 2023/02/01 22:49:23 - mmengine - INFO - Epoch(train) [140][ 240/1879] lr: 5.4151e-02 eta: 1 day, 7:07:40 time: 0.4958 data_time: 0.0320 memory: 18108 grad_norm: 3.6480 loss: 3.8182 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2352 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.5830 2023/02/01 22:49:34 - mmengine - INFO - Epoch(train) [140][ 260/1879] lr: 5.4143e-02 eta: 1 day, 7:07:31 time: 0.5333 data_time: 0.0355 memory: 18108 grad_norm: 3.5095 loss: 3.8508 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.3044 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.5464 2023/02/01 22:49:44 - mmengine - INFO - Epoch(train) [140][ 280/1879] lr: 5.4136e-02 eta: 1 day, 7:07:20 time: 0.5154 data_time: 0.0309 memory: 18108 grad_norm: 3.6239 loss: 3.9599 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3343 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.6256 2023/02/01 22:49:55 - mmengine - INFO - Epoch(train) [140][ 300/1879] lr: 5.4128e-02 eta: 1 day, 7:07:10 time: 0.5258 data_time: 0.0362 memory: 18108 grad_norm: 3.5788 loss: 3.7204 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1416 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.5788 2023/02/01 22:50:05 - mmengine - INFO - Epoch(train) [140][ 320/1879] lr: 5.4121e-02 eta: 1 day, 7:07:01 time: 0.5264 data_time: 0.0299 memory: 18108 grad_norm: 3.5630 loss: 3.7092 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1373 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.5719 2023/02/01 22:50:15 - mmengine - INFO - Epoch(train) [140][ 340/1879] lr: 5.4113e-02 eta: 1 day, 7:06:50 time: 0.5155 data_time: 0.0357 memory: 18108 grad_norm: 3.5306 loss: 3.6866 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0780 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6086 2023/02/01 22:50:26 - mmengine - INFO - Epoch(train) [140][ 360/1879] lr: 5.4106e-02 eta: 1 day, 7:06:40 time: 0.5236 data_time: 0.0289 memory: 18108 grad_norm: 3.6057 loss: 4.0936 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3696 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.7239 2023/02/01 22:50:36 - mmengine - INFO - Epoch(train) [140][ 380/1879] lr: 5.4098e-02 eta: 1 day, 7:06:30 time: 0.5063 data_time: 0.0358 memory: 18108 grad_norm: 3.5434 loss: 3.7605 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1748 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.5858 2023/02/01 22:50:46 - mmengine - INFO - Epoch(train) [140][ 400/1879] lr: 5.4091e-02 eta: 1 day, 7:06:20 time: 0.5103 data_time: 0.0295 memory: 18108 grad_norm: 3.5619 loss: 3.8867 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2454 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.6412 2023/02/01 22:50:57 - mmengine - INFO - Epoch(train) [140][ 420/1879] lr: 5.4083e-02 eta: 1 day, 7:06:10 time: 0.5257 data_time: 0.0371 memory: 18108 grad_norm: 3.7063 loss: 3.8962 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2699 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.6263 2023/02/01 22:51:07 - mmengine - INFO - Epoch(train) [140][ 440/1879] lr: 5.4076e-02 eta: 1 day, 7:06:00 time: 0.5134 data_time: 0.0384 memory: 18108 grad_norm: 3.6062 loss: 3.9699 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4111 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.5588 2023/02/01 22:51:18 - mmengine - INFO - Epoch(train) [140][ 460/1879] lr: 5.4068e-02 eta: 1 day, 7:05:50 time: 0.5279 data_time: 0.0361 memory: 18108 grad_norm: 3.5644 loss: 3.9827 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3663 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.6164 2023/02/01 22:51:28 - mmengine - INFO - Epoch(train) [140][ 480/1879] lr: 5.4061e-02 eta: 1 day, 7:05:40 time: 0.5041 data_time: 0.0292 memory: 18108 grad_norm: 3.5421 loss: 3.7484 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.1219 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.6265 2023/02/01 22:51:38 - mmengine - INFO - Epoch(train) [140][ 500/1879] lr: 5.4053e-02 eta: 1 day, 7:05:30 time: 0.5180 data_time: 0.0356 memory: 18108 grad_norm: 3.5086 loss: 3.7584 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.0688 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.6896 2023/02/01 22:51:48 - mmengine - INFO - Epoch(train) [140][ 520/1879] lr: 5.4046e-02 eta: 1 day, 7:05:19 time: 0.5092 data_time: 0.0298 memory: 18108 grad_norm: 3.5534 loss: 3.7640 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.1483 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.6157 2023/02/01 22:51:58 - mmengine - INFO - Epoch(train) [140][ 540/1879] lr: 5.4038e-02 eta: 1 day, 7:05:09 time: 0.5039 data_time: 0.0371 memory: 18108 grad_norm: 3.5653 loss: 4.0248 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.4031 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6217 2023/02/01 22:52:08 - mmengine - INFO - Epoch(train) [140][ 560/1879] lr: 5.4031e-02 eta: 1 day, 7:04:59 time: 0.4946 data_time: 0.0335 memory: 18108 grad_norm: 3.5738 loss: 3.9094 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2640 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.6454 2023/02/01 22:52:19 - mmengine - INFO - Epoch(train) [140][ 580/1879] lr: 5.4023e-02 eta: 1 day, 7:04:48 time: 0.5131 data_time: 0.0367 memory: 18108 grad_norm: 3.5864 loss: 4.0037 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3521 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.6516 2023/02/01 22:52:29 - mmengine - INFO - Epoch(train) [140][ 600/1879] lr: 5.4016e-02 eta: 1 day, 7:04:38 time: 0.5080 data_time: 0.0305 memory: 18108 grad_norm: 3.6050 loss: 3.7404 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1047 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.6357 2023/02/01 22:52:39 - mmengine - INFO - Epoch(train) [140][ 620/1879] lr: 5.4008e-02 eta: 1 day, 7:04:28 time: 0.5014 data_time: 0.0374 memory: 18108 grad_norm: 3.6158 loss: 4.0052 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.2714 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 1.7339 2023/02/01 22:52:49 - mmengine - INFO - Epoch(train) [140][ 640/1879] lr: 5.4000e-02 eta: 1 day, 7:04:17 time: 0.4949 data_time: 0.0311 memory: 18108 grad_norm: 3.6595 loss: 4.1701 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4615 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.7086 2023/02/01 22:52:59 - mmengine - INFO - Epoch(train) [140][ 660/1879] lr: 5.3993e-02 eta: 1 day, 7:04:07 time: 0.5106 data_time: 0.0350 memory: 18108 grad_norm: 3.5595 loss: 3.7776 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1012 top1_acc_1: 0.5412 top5_acc_1: 0.7059 loss_cls_1: 1.6765 2023/02/01 22:53:09 - mmengine - INFO - Epoch(train) [140][ 680/1879] lr: 5.3985e-02 eta: 1 day, 7:03:57 time: 0.5032 data_time: 0.0302 memory: 18108 grad_norm: 3.6242 loss: 3.8912 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2463 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.6449 2023/02/01 22:53:19 - mmengine - INFO - Epoch(train) [140][ 700/1879] lr: 5.3978e-02 eta: 1 day, 7:03:46 time: 0.4929 data_time: 0.0376 memory: 18108 grad_norm: 3.6006 loss: 4.2154 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.5756 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.6398 2023/02/01 22:53:29 - mmengine - INFO - Epoch(train) [140][ 720/1879] lr: 5.3970e-02 eta: 1 day, 7:03:36 time: 0.5119 data_time: 0.0302 memory: 18108 grad_norm: 3.5759 loss: 3.8202 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2691 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.5510 2023/02/01 22:53:39 - mmengine - INFO - Epoch(train) [140][ 740/1879] lr: 5.3963e-02 eta: 1 day, 7:03:26 time: 0.5066 data_time: 0.0446 memory: 18108 grad_norm: 3.5966 loss: 4.0585 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3949 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.6636 2023/02/01 22:53:49 - mmengine - INFO - Epoch(train) [140][ 760/1879] lr: 5.3955e-02 eta: 1 day, 7:03:15 time: 0.4960 data_time: 0.0322 memory: 18108 grad_norm: 3.5365 loss: 4.0944 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.4415 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.6529 2023/02/01 22:53:59 - mmengine - INFO - Epoch(train) [140][ 780/1879] lr: 5.3948e-02 eta: 1 day, 7:03:05 time: 0.4965 data_time: 0.0349 memory: 18108 grad_norm: 3.6170 loss: 3.8096 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1745 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.6352 2023/02/01 22:54:09 - mmengine - INFO - Epoch(train) [140][ 800/1879] lr: 5.3940e-02 eta: 1 day, 7:02:55 time: 0.5143 data_time: 0.0305 memory: 18108 grad_norm: 3.5873 loss: 4.1895 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 2.4989 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.6905 2023/02/01 22:54:19 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 22:54:20 - mmengine - INFO - Epoch(train) [140][ 820/1879] lr: 5.3933e-02 eta: 1 day, 7:02:45 time: 0.5016 data_time: 0.0363 memory: 18108 grad_norm: 3.5463 loss: 3.8382 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1969 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.6413 2023/02/01 22:54:29 - mmengine - INFO - Epoch(train) [140][ 840/1879] lr: 5.3925e-02 eta: 1 day, 7:02:34 time: 0.4937 data_time: 0.0313 memory: 18108 grad_norm: 3.5788 loss: 4.1006 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.4539 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.6467 2023/02/01 22:54:40 - mmengine - INFO - Epoch(train) [140][ 860/1879] lr: 5.3918e-02 eta: 1 day, 7:02:24 time: 0.5203 data_time: 0.0356 memory: 18108 grad_norm: 3.5583 loss: 4.0946 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4354 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.6593 2023/02/01 22:54:50 - mmengine - INFO - Epoch(train) [140][ 880/1879] lr: 5.3910e-02 eta: 1 day, 7:02:14 time: 0.5259 data_time: 0.0425 memory: 18108 grad_norm: 3.6211 loss: 3.7436 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1141 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.6295 2023/02/01 22:55:01 - mmengine - INFO - Epoch(train) [140][ 900/1879] lr: 5.3903e-02 eta: 1 day, 7:02:04 time: 0.5099 data_time: 0.0333 memory: 18108 grad_norm: 3.5709 loss: 4.0473 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3999 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6473 2023/02/01 22:55:11 - mmengine - INFO - Epoch(train) [140][ 920/1879] lr: 5.3895e-02 eta: 1 day, 7:01:54 time: 0.5281 data_time: 0.0328 memory: 18108 grad_norm: 3.6063 loss: 4.1489 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4912 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.6577 2023/02/01 22:55:22 - mmengine - INFO - Epoch(train) [140][ 940/1879] lr: 5.3888e-02 eta: 1 day, 7:01:44 time: 0.5303 data_time: 0.0463 memory: 18108 grad_norm: 3.5288 loss: 3.9575 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3330 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.6245 2023/02/01 22:55:32 - mmengine - INFO - Epoch(train) [140][ 960/1879] lr: 5.3880e-02 eta: 1 day, 7:01:34 time: 0.5195 data_time: 0.0324 memory: 18108 grad_norm: 3.5615 loss: 4.1319 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4954 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.6365 2023/02/01 22:55:43 - mmengine - INFO - Epoch(train) [140][ 980/1879] lr: 5.3873e-02 eta: 1 day, 7:01:24 time: 0.5256 data_time: 0.0340 memory: 18108 grad_norm: 3.5801 loss: 3.9856 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2588 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7268 2023/02/01 22:55:53 - mmengine - INFO - Epoch(train) [140][1000/1879] lr: 5.3865e-02 eta: 1 day, 7:01:14 time: 0.5267 data_time: 0.0323 memory: 18108 grad_norm: 3.4880 loss: 3.8133 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2258 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.5876 2023/02/01 22:56:04 - mmengine - INFO - Epoch(train) [140][1020/1879] lr: 5.3858e-02 eta: 1 day, 7:01:04 time: 0.5351 data_time: 0.0437 memory: 18108 grad_norm: 3.5717 loss: 3.8930 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.1997 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.6933 2023/02/01 22:56:15 - mmengine - INFO - Epoch(train) [140][1040/1879] lr: 5.3850e-02 eta: 1 day, 7:00:54 time: 0.5243 data_time: 0.0335 memory: 18108 grad_norm: 3.5804 loss: 3.8610 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.1816 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.6794 2023/02/01 22:56:25 - mmengine - INFO - Epoch(train) [140][1060/1879] lr: 5.3843e-02 eta: 1 day, 7:00:44 time: 0.5179 data_time: 0.0357 memory: 18108 grad_norm: 3.6006 loss: 4.0999 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.3756 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.7244 2023/02/01 22:56:36 - mmengine - INFO - Epoch(train) [140][1080/1879] lr: 5.3835e-02 eta: 1 day, 7:00:35 time: 0.5402 data_time: 0.0300 memory: 18108 grad_norm: 3.6671 loss: 4.0482 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3503 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.6978 2023/02/01 22:56:46 - mmengine - INFO - Epoch(train) [140][1100/1879] lr: 5.3828e-02 eta: 1 day, 7:00:24 time: 0.5153 data_time: 0.0453 memory: 18108 grad_norm: 3.6143 loss: 4.3445 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.6273 top1_acc_1: 0.5059 top5_acc_1: 0.7294 loss_cls_1: 1.7172 2023/02/01 22:56:57 - mmengine - INFO - Epoch(train) [140][1120/1879] lr: 5.3820e-02 eta: 1 day, 7:00:15 time: 0.5306 data_time: 0.0319 memory: 18108 grad_norm: 3.5209 loss: 3.8442 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.3106 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.5336 2023/02/01 22:57:07 - mmengine - INFO - Epoch(train) [140][1140/1879] lr: 5.3813e-02 eta: 1 day, 7:00:04 time: 0.5147 data_time: 0.0352 memory: 18108 grad_norm: 3.6049 loss: 3.8707 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2394 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.6313 2023/02/01 22:57:18 - mmengine - INFO - Epoch(train) [140][1160/1879] lr: 5.3805e-02 eta: 1 day, 6:59:55 time: 0.5479 data_time: 0.0377 memory: 18108 grad_norm: 3.5776 loss: 3.9339 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.2244 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.7095 2023/02/01 22:57:28 - mmengine - INFO - Epoch(train) [140][1180/1879] lr: 5.3798e-02 eta: 1 day, 6:59:45 time: 0.5237 data_time: 0.0351 memory: 18108 grad_norm: 3.6285 loss: 4.0625 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.4112 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.6513 2023/02/01 22:57:39 - mmengine - INFO - Epoch(train) [140][1200/1879] lr: 5.3790e-02 eta: 1 day, 6:59:35 time: 0.5181 data_time: 0.0318 memory: 18108 grad_norm: 3.6210 loss: 4.0831 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.4076 top1_acc_1: 0.5412 top5_acc_1: 0.8588 loss_cls_1: 1.6755 2023/02/01 22:57:49 - mmengine - INFO - Epoch(train) [140][1220/1879] lr: 5.3783e-02 eta: 1 day, 6:59:25 time: 0.5209 data_time: 0.0342 memory: 18108 grad_norm: 3.6057 loss: 4.0129 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.3596 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.6533 2023/02/01 22:58:00 - mmengine - INFO - Epoch(train) [140][1240/1879] lr: 5.3775e-02 eta: 1 day, 6:59:15 time: 0.5311 data_time: 0.0308 memory: 18108 grad_norm: 3.6402 loss: 4.0225 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3509 top1_acc_1: 0.7059 top5_acc_1: 0.8000 loss_cls_1: 1.6716 2023/02/01 22:58:10 - mmengine - INFO - Epoch(train) [140][1260/1879] lr: 5.3768e-02 eta: 1 day, 6:59:05 time: 0.5094 data_time: 0.0355 memory: 18108 grad_norm: 3.6703 loss: 3.9972 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2810 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7161 2023/02/01 22:58:21 - mmengine - INFO - Epoch(train) [140][1280/1879] lr: 5.3760e-02 eta: 1 day, 6:58:55 time: 0.5413 data_time: 0.0313 memory: 18108 grad_norm: 3.6065 loss: 4.0160 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4051 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.6109 2023/02/01 22:58:31 - mmengine - INFO - Epoch(train) [140][1300/1879] lr: 5.3753e-02 eta: 1 day, 6:58:45 time: 0.5222 data_time: 0.0427 memory: 18108 grad_norm: 3.5359 loss: 4.0683 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3327 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.7355 2023/02/01 22:58:42 - mmengine - INFO - Epoch(train) [140][1320/1879] lr: 5.3745e-02 eta: 1 day, 6:58:35 time: 0.5263 data_time: 0.0309 memory: 18108 grad_norm: 3.6235 loss: 4.1124 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4144 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.6980 2023/02/01 22:58:52 - mmengine - INFO - Epoch(train) [140][1340/1879] lr: 5.3738e-02 eta: 1 day, 6:58:25 time: 0.5044 data_time: 0.0357 memory: 18108 grad_norm: 3.6502 loss: 4.1227 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4529 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6698 2023/02/01 22:59:03 - mmengine - INFO - Epoch(train) [140][1360/1879] lr: 5.3730e-02 eta: 1 day, 6:58:15 time: 0.5520 data_time: 0.0384 memory: 18108 grad_norm: 3.6208 loss: 3.6840 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0861 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5979 2023/02/01 22:59:14 - mmengine - INFO - Epoch(train) [140][1380/1879] lr: 5.3723e-02 eta: 1 day, 6:58:05 time: 0.5259 data_time: 0.0364 memory: 18108 grad_norm: 3.6234 loss: 3.9877 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4174 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.5703 2023/02/01 22:59:24 - mmengine - INFO - Epoch(train) [140][1400/1879] lr: 5.3715e-02 eta: 1 day, 6:57:55 time: 0.5159 data_time: 0.0313 memory: 18108 grad_norm: 3.5435 loss: 4.1099 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.4706 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.6393 2023/02/01 22:59:34 - mmengine - INFO - Epoch(train) [140][1420/1879] lr: 5.3708e-02 eta: 1 day, 6:57:45 time: 0.5161 data_time: 0.0349 memory: 18108 grad_norm: 3.5455 loss: 4.1343 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 2.4996 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.6347 2023/02/01 22:59:45 - mmengine - INFO - Epoch(train) [140][1440/1879] lr: 5.3700e-02 eta: 1 day, 6:57:35 time: 0.5454 data_time: 0.0449 memory: 18108 grad_norm: 3.6387 loss: 3.7944 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2203 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.5740 2023/02/01 22:59:55 - mmengine - INFO - Epoch(train) [140][1460/1879] lr: 5.3693e-02 eta: 1 day, 6:57:25 time: 0.5074 data_time: 0.0347 memory: 18108 grad_norm: 3.5771 loss: 4.1857 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.4437 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7420 2023/02/01 23:00:06 - mmengine - INFO - Epoch(train) [140][1480/1879] lr: 5.3685e-02 eta: 1 day, 6:57:15 time: 0.5095 data_time: 0.0342 memory: 18108 grad_norm: 3.5996 loss: 4.0867 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3793 top1_acc_1: 0.6235 top5_acc_1: 0.9765 loss_cls_1: 1.7073 2023/02/01 23:00:16 - mmengine - INFO - Epoch(train) [140][1500/1879] lr: 5.3678e-02 eta: 1 day, 6:57:05 time: 0.5258 data_time: 0.0342 memory: 18108 grad_norm: 3.5272 loss: 4.1585 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4336 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.7250 2023/02/01 23:00:27 - mmengine - INFO - Epoch(train) [140][1520/1879] lr: 5.3670e-02 eta: 1 day, 6:56:55 time: 0.5274 data_time: 0.0397 memory: 18108 grad_norm: 3.5668 loss: 3.8923 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3574 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.5349 2023/02/01 23:00:37 - mmengine - INFO - Epoch(train) [140][1540/1879] lr: 5.3663e-02 eta: 1 day, 6:56:45 time: 0.4981 data_time: 0.0345 memory: 18108 grad_norm: 3.5236 loss: 3.7929 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1041 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.6888 2023/02/01 23:00:48 - mmengine - INFO - Epoch(train) [140][1560/1879] lr: 5.3655e-02 eta: 1 day, 6:56:35 time: 0.5424 data_time: 0.0325 memory: 18108 grad_norm: 3.5789 loss: 4.0085 top1_acc_0: 0.5000 top5_acc_0: 1.0000 loss_cls_0: 2.3493 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.6592 2023/02/01 23:00:57 - mmengine - INFO - Epoch(train) [140][1580/1879] lr: 5.3648e-02 eta: 1 day, 6:56:25 time: 0.4916 data_time: 0.0338 memory: 18108 grad_norm: 3.6063 loss: 3.9829 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2657 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.7172 2023/02/01 23:01:08 - mmengine - INFO - Epoch(train) [140][1600/1879] lr: 5.3640e-02 eta: 1 day, 6:56:14 time: 0.5130 data_time: 0.0341 memory: 18108 grad_norm: 3.5502 loss: 4.0981 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4398 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.6583 2023/02/01 23:01:18 - mmengine - INFO - Epoch(train) [140][1620/1879] lr: 5.3633e-02 eta: 1 day, 6:56:04 time: 0.5055 data_time: 0.0368 memory: 18108 grad_norm: 3.5731 loss: 3.8059 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1446 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6613 2023/02/01 23:01:28 - mmengine - INFO - Epoch(train) [140][1640/1879] lr: 5.3625e-02 eta: 1 day, 6:55:54 time: 0.5091 data_time: 0.0335 memory: 18108 grad_norm: 3.5318 loss: 3.9160 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.2955 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.6205 2023/02/01 23:01:38 - mmengine - INFO - Epoch(train) [140][1660/1879] lr: 5.3618e-02 eta: 1 day, 6:55:44 time: 0.5129 data_time: 0.0419 memory: 18108 grad_norm: 3.6526 loss: 4.0785 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3173 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.7612 2023/02/01 23:01:48 - mmengine - INFO - Epoch(train) [140][1680/1879] lr: 5.3610e-02 eta: 1 day, 6:55:33 time: 0.4988 data_time: 0.0315 memory: 18108 grad_norm: 3.5743 loss: 3.8488 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2231 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6258 2023/02/01 23:01:59 - mmengine - INFO - Epoch(train) [140][1700/1879] lr: 5.3602e-02 eta: 1 day, 6:55:23 time: 0.5211 data_time: 0.0355 memory: 18108 grad_norm: 3.6561 loss: 3.7544 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.1966 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.5578 2023/02/01 23:02:09 - mmengine - INFO - Epoch(train) [140][1720/1879] lr: 5.3595e-02 eta: 1 day, 6:55:13 time: 0.5156 data_time: 0.0379 memory: 18108 grad_norm: 3.6118 loss: 4.0143 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.2339 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.7804 2023/02/01 23:02:19 - mmengine - INFO - Epoch(train) [140][1740/1879] lr: 5.3587e-02 eta: 1 day, 6:55:03 time: 0.5019 data_time: 0.0386 memory: 18108 grad_norm: 3.5694 loss: 4.0232 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2785 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.7447 2023/02/01 23:02:29 - mmengine - INFO - Epoch(train) [140][1760/1879] lr: 5.3580e-02 eta: 1 day, 6:54:53 time: 0.5142 data_time: 0.0319 memory: 18108 grad_norm: 3.6301 loss: 3.8927 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.2556 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.6371 2023/02/01 23:02:39 - mmengine - INFO - Epoch(train) [140][1780/1879] lr: 5.3572e-02 eta: 1 day, 6:54:42 time: 0.5031 data_time: 0.0384 memory: 18108 grad_norm: 3.6487 loss: 3.9760 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2783 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.6977 2023/02/01 23:02:50 - mmengine - INFO - Epoch(train) [140][1800/1879] lr: 5.3565e-02 eta: 1 day, 6:54:32 time: 0.5204 data_time: 0.0448 memory: 18108 grad_norm: 3.5900 loss: 3.9290 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2477 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.6814 2023/02/01 23:03:00 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 23:03:00 - mmengine - INFO - Epoch(train) [140][1820/1879] lr: 5.3557e-02 eta: 1 day, 6:54:22 time: 0.5198 data_time: 0.0352 memory: 18108 grad_norm: 3.5671 loss: 4.2071 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.5529 top1_acc_1: 0.6118 top5_acc_1: 0.8941 loss_cls_1: 1.6542 2023/02/01 23:03:11 - mmengine - INFO - Epoch(train) [140][1840/1879] lr: 5.3550e-02 eta: 1 day, 6:54:12 time: 0.5320 data_time: 0.0308 memory: 18108 grad_norm: 3.5536 loss: 4.1635 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5359 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.6277 2023/02/01 23:03:21 - mmengine - INFO - Epoch(train) [140][1860/1879] lr: 5.3542e-02 eta: 1 day, 6:54:02 time: 0.5110 data_time: 0.0331 memory: 18108 grad_norm: 3.5648 loss: 3.9287 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2058 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.7229 2023/02/01 23:03:30 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 23:03:30 - mmengine - INFO - Epoch(train) [140][1879/1879] lr: 5.3535e-02 eta: 1 day, 6:53:52 time: 0.4880 data_time: 0.0294 memory: 18108 grad_norm: 3.6658 loss: 4.1246 top1_acc_0: 0.1429 top5_acc_0: 0.4286 loss_cls_0: 2.4090 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.7156 2023/02/01 23:03:31 - mmengine - INFO - Saving checkpoint at 140 epochs 2023/02/01 23:03:42 - mmengine - INFO - Epoch(val) [140][ 20/155] eta: 0:01:01 time: 0.4547 data_time: 0.3419 memory: 1906 2023/02/01 23:03:51 - mmengine - INFO - Epoch(val) [140][ 40/155] eta: 0:00:51 time: 0.4377 data_time: 0.3268 memory: 1906 2023/02/01 23:03:59 - mmengine - INFO - Epoch(val) [140][ 60/155] eta: 0:00:42 time: 0.4371 data_time: 0.3255 memory: 1906 2023/02/01 23:04:09 - mmengine - INFO - Epoch(val) [140][ 80/155] eta: 0:00:33 time: 0.4592 data_time: 0.3478 memory: 1906 2023/02/01 23:04:17 - mmengine - INFO - Epoch(val) [140][100/155] eta: 0:00:24 time: 0.4440 data_time: 0.3335 memory: 1906 2023/02/01 23:04:27 - mmengine - INFO - Epoch(val) [140][120/155] eta: 0:00:15 time: 0.4530 data_time: 0.3429 memory: 1906 2023/02/01 23:04:35 - mmengine - INFO - Epoch(val) [140][140/155] eta: 0:00:06 time: 0.4328 data_time: 0.3219 memory: 1906 2023/02/01 23:04:43 - mmengine - INFO - Epoch(val) [140][155/155] acc/top1: 0.5237 acc/top5: 0.7718 acc/mean1: 0.5235 2023/02/01 23:04:43 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_136.pth is removed 2023/02/01 23:04:44 - mmengine - INFO - The best checkpoint with 0.5237 acc/top1 at 140 epoch is saved to best_acc/top1_epoch_140.pth. 2023/02/01 23:04:58 - mmengine - INFO - Epoch(train) [141][ 20/1879] lr: 5.3528e-02 eta: 1 day, 6:53:45 time: 0.6893 data_time: 0.2364 memory: 18108 grad_norm: 3.5955 loss: 3.9888 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.3500 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6388 2023/02/01 23:05:08 - mmengine - INFO - Epoch(train) [141][ 40/1879] lr: 5.3520e-02 eta: 1 day, 6:53:34 time: 0.4739 data_time: 0.0356 memory: 18108 grad_norm: 3.5320 loss: 3.8820 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.3703 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.5118 2023/02/01 23:05:18 - mmengine - INFO - Epoch(train) [141][ 60/1879] lr: 5.3513e-02 eta: 1 day, 6:53:24 time: 0.5043 data_time: 0.0381 memory: 18108 grad_norm: 3.5334 loss: 3.9789 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3346 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.6443 2023/02/01 23:05:29 - mmengine - INFO - Epoch(train) [141][ 80/1879] lr: 5.3505e-02 eta: 1 day, 6:53:14 time: 0.5315 data_time: 0.0535 memory: 18108 grad_norm: 3.5299 loss: 3.8485 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2231 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.6254 2023/02/01 23:05:38 - mmengine - INFO - Epoch(train) [141][ 100/1879] lr: 5.3498e-02 eta: 1 day, 6:53:03 time: 0.4872 data_time: 0.0382 memory: 18108 grad_norm: 3.5153 loss: 3.7770 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2732 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5038 2023/02/01 23:05:48 - mmengine - INFO - Epoch(train) [141][ 120/1879] lr: 5.3490e-02 eta: 1 day, 6:52:53 time: 0.4747 data_time: 0.0362 memory: 18108 grad_norm: 3.5669 loss: 3.8546 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2441 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6105 2023/02/01 23:05:58 - mmengine - INFO - Epoch(train) [141][ 140/1879] lr: 5.3483e-02 eta: 1 day, 6:52:43 time: 0.5335 data_time: 0.0368 memory: 18108 grad_norm: 3.5714 loss: 3.9916 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3675 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.6242 2023/02/01 23:06:08 - mmengine - INFO - Epoch(train) [141][ 160/1879] lr: 5.3475e-02 eta: 1 day, 6:52:32 time: 0.4832 data_time: 0.0334 memory: 18108 grad_norm: 3.6688 loss: 3.7551 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1569 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.5981 2023/02/01 23:06:18 - mmengine - INFO - Epoch(train) [141][ 180/1879] lr: 5.3468e-02 eta: 1 day, 6:52:22 time: 0.4915 data_time: 0.0388 memory: 18108 grad_norm: 3.6254 loss: 3.8172 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2721 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.5451 2023/02/01 23:06:28 - mmengine - INFO - Epoch(train) [141][ 200/1879] lr: 5.3460e-02 eta: 1 day, 6:52:11 time: 0.4852 data_time: 0.0325 memory: 18108 grad_norm: 3.5570 loss: 4.1966 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4488 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7478 2023/02/01 23:06:39 - mmengine - INFO - Epoch(train) [141][ 220/1879] lr: 5.3453e-02 eta: 1 day, 6:52:01 time: 0.5391 data_time: 0.0466 memory: 18108 grad_norm: 3.6029 loss: 3.8435 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1854 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.6581 2023/02/01 23:06:48 - mmengine - INFO - Epoch(train) [141][ 240/1879] lr: 5.3445e-02 eta: 1 day, 6:51:50 time: 0.4736 data_time: 0.0338 memory: 18108 grad_norm: 3.5984 loss: 3.8623 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.2497 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.6126 2023/02/01 23:06:58 - mmengine - INFO - Epoch(train) [141][ 260/1879] lr: 5.3438e-02 eta: 1 day, 6:51:40 time: 0.5000 data_time: 0.0388 memory: 18108 grad_norm: 3.6402 loss: 3.9464 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.2792 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.6671 2023/02/01 23:07:08 - mmengine - INFO - Epoch(train) [141][ 280/1879] lr: 5.3430e-02 eta: 1 day, 6:51:30 time: 0.5020 data_time: 0.0337 memory: 18108 grad_norm: 3.5459 loss: 3.9243 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3105 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.6138 2023/02/01 23:07:18 - mmengine - INFO - Epoch(train) [141][ 300/1879] lr: 5.3423e-02 eta: 1 day, 6:51:19 time: 0.4869 data_time: 0.0390 memory: 18108 grad_norm: 3.6411 loss: 3.8801 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.2102 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.6699 2023/02/01 23:07:28 - mmengine - INFO - Epoch(train) [141][ 320/1879] lr: 5.3415e-02 eta: 1 day, 6:51:08 time: 0.4824 data_time: 0.0344 memory: 18108 grad_norm: 3.6104 loss: 4.1041 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.4247 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.6794 2023/02/01 23:07:38 - mmengine - INFO - Epoch(train) [141][ 340/1879] lr: 5.3408e-02 eta: 1 day, 6:50:58 time: 0.5038 data_time: 0.0456 memory: 18108 grad_norm: 3.5180 loss: 3.8867 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.2362 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.6506 2023/02/01 23:07:47 - mmengine - INFO - Epoch(train) [141][ 360/1879] lr: 5.3400e-02 eta: 1 day, 6:50:48 time: 0.4938 data_time: 0.0332 memory: 18108 grad_norm: 3.6852 loss: 3.9700 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2676 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7025 2023/02/01 23:07:57 - mmengine - INFO - Epoch(train) [141][ 380/1879] lr: 5.3393e-02 eta: 1 day, 6:50:37 time: 0.4894 data_time: 0.0387 memory: 18108 grad_norm: 3.5323 loss: 3.9024 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3065 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.5959 2023/02/01 23:08:07 - mmengine - INFO - Epoch(train) [141][ 400/1879] lr: 5.3385e-02 eta: 1 day, 6:50:26 time: 0.4755 data_time: 0.0348 memory: 18108 grad_norm: 3.6167 loss: 3.9817 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4014 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.5803 2023/02/01 23:08:17 - mmengine - INFO - Epoch(train) [141][ 420/1879] lr: 5.3377e-02 eta: 1 day, 6:50:16 time: 0.5295 data_time: 0.0478 memory: 18108 grad_norm: 3.6862 loss: 4.0879 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.4266 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.6612 2023/02/01 23:08:27 - mmengine - INFO - Epoch(train) [141][ 440/1879] lr: 5.3370e-02 eta: 1 day, 6:50:05 time: 0.4689 data_time: 0.0350 memory: 18108 grad_norm: 3.5960 loss: 3.6566 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0305 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.6261 2023/02/01 23:08:37 - mmengine - INFO - Epoch(train) [141][ 460/1879] lr: 5.3362e-02 eta: 1 day, 6:49:55 time: 0.4996 data_time: 0.0364 memory: 18108 grad_norm: 3.6655 loss: 3.9261 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2926 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.6335 2023/02/01 23:08:47 - mmengine - INFO - Epoch(train) [141][ 480/1879] lr: 5.3355e-02 eta: 1 day, 6:49:45 time: 0.5102 data_time: 0.0441 memory: 18108 grad_norm: 3.5548 loss: 4.0356 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.4256 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.6100 2023/02/01 23:08:57 - mmengine - INFO - Epoch(train) [141][ 500/1879] lr: 5.3347e-02 eta: 1 day, 6:49:34 time: 0.4914 data_time: 0.0359 memory: 18108 grad_norm: 3.6367 loss: 3.9192 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1975 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.7218 2023/02/01 23:09:07 - mmengine - INFO - Epoch(train) [141][ 520/1879] lr: 5.3340e-02 eta: 1 day, 6:49:24 time: 0.4843 data_time: 0.0303 memory: 18108 grad_norm: 3.5879 loss: 4.0621 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4003 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.6618 2023/02/01 23:09:18 - mmengine - INFO - Epoch(train) [141][ 540/1879] lr: 5.3332e-02 eta: 1 day, 6:49:14 time: 0.5494 data_time: 0.0568 memory: 18108 grad_norm: 3.5434 loss: 4.0657 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.3975 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.6682 2023/02/01 23:09:28 - mmengine - INFO - Epoch(train) [141][ 560/1879] lr: 5.3325e-02 eta: 1 day, 6:49:04 time: 0.4936 data_time: 0.0307 memory: 18108 grad_norm: 3.5819 loss: 3.9273 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.3333 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.5940 2023/02/01 23:09:38 - mmengine - INFO - Epoch(train) [141][ 580/1879] lr: 5.3317e-02 eta: 1 day, 6:48:54 time: 0.5121 data_time: 0.0387 memory: 18108 grad_norm: 3.6649 loss: 3.9857 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2316 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7541 2023/02/01 23:09:48 - mmengine - INFO - Epoch(train) [141][ 600/1879] lr: 5.3310e-02 eta: 1 day, 6:48:43 time: 0.4969 data_time: 0.0315 memory: 18108 grad_norm: 3.6273 loss: 3.9056 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.3231 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.5826 2023/02/01 23:09:58 - mmengine - INFO - Epoch(train) [141][ 620/1879] lr: 5.3302e-02 eta: 1 day, 6:48:33 time: 0.5198 data_time: 0.0381 memory: 18108 grad_norm: 3.6459 loss: 4.2368 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5978 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.6390 2023/02/01 23:10:08 - mmengine - INFO - Epoch(train) [141][ 640/1879] lr: 5.3295e-02 eta: 1 day, 6:48:23 time: 0.4913 data_time: 0.0300 memory: 18108 grad_norm: 3.6987 loss: 3.8834 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.2520 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.6315 2023/02/01 23:10:18 - mmengine - INFO - Epoch(train) [141][ 660/1879] lr: 5.3287e-02 eta: 1 day, 6:48:12 time: 0.5054 data_time: 0.0363 memory: 18108 grad_norm: 3.6096 loss: 3.9233 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.2376 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.6857 2023/02/01 23:10:29 - mmengine - INFO - Epoch(train) [141][ 680/1879] lr: 5.3280e-02 eta: 1 day, 6:48:02 time: 0.5196 data_time: 0.0377 memory: 18108 grad_norm: 3.6248 loss: 3.6577 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0501 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.6076 2023/02/01 23:10:39 - mmengine - INFO - Epoch(train) [141][ 700/1879] lr: 5.3272e-02 eta: 1 day, 6:47:52 time: 0.5117 data_time: 0.0385 memory: 18108 grad_norm: 3.6183 loss: 4.0445 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.3963 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.6483 2023/02/01 23:10:49 - mmengine - INFO - Epoch(train) [141][ 720/1879] lr: 5.3265e-02 eta: 1 day, 6:47:42 time: 0.5014 data_time: 0.0320 memory: 18108 grad_norm: 3.6776 loss: 3.8879 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2427 top1_acc_1: 0.5765 top5_acc_1: 0.7294 loss_cls_1: 1.6452 2023/02/01 23:10:59 - mmengine - INFO - Epoch(train) [141][ 740/1879] lr: 5.3257e-02 eta: 1 day, 6:47:32 time: 0.5178 data_time: 0.0447 memory: 18108 grad_norm: 3.5653 loss: 3.9400 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2371 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.7029 2023/02/01 23:11:09 - mmengine - INFO - Epoch(train) [141][ 760/1879] lr: 5.3250e-02 eta: 1 day, 6:47:21 time: 0.5122 data_time: 0.0294 memory: 18108 grad_norm: 3.6262 loss: 3.8833 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2953 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.5880 2023/02/01 23:11:20 - mmengine - INFO - Epoch(train) [141][ 780/1879] lr: 5.3242e-02 eta: 1 day, 6:47:11 time: 0.5131 data_time: 0.0374 memory: 18108 grad_norm: 3.6189 loss: 3.8765 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1495 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.7270 2023/02/01 23:11:30 - mmengine - INFO - Epoch(train) [141][ 800/1879] lr: 5.3235e-02 eta: 1 day, 6:47:01 time: 0.5361 data_time: 0.0403 memory: 18108 grad_norm: 3.5922 loss: 3.8121 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.2413 top1_acc_1: 0.4941 top5_acc_1: 0.8000 loss_cls_1: 1.5708 2023/02/01 23:11:41 - mmengine - INFO - Epoch(train) [141][ 820/1879] lr: 5.3227e-02 eta: 1 day, 6:46:51 time: 0.5218 data_time: 0.0369 memory: 18108 grad_norm: 3.6324 loss: 4.0596 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.3852 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.6744 2023/02/01 23:11:51 - mmengine - INFO - Epoch(train) [141][ 840/1879] lr: 5.3220e-02 eta: 1 day, 6:46:41 time: 0.5133 data_time: 0.0311 memory: 18108 grad_norm: 3.5988 loss: 3.8794 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2577 top1_acc_1: 0.6118 top5_acc_1: 0.8941 loss_cls_1: 1.6217 2023/02/01 23:12:02 - mmengine - INFO - Epoch(train) [141][ 860/1879] lr: 5.3212e-02 eta: 1 day, 6:46:31 time: 0.5248 data_time: 0.0428 memory: 18108 grad_norm: 3.5326 loss: 3.7543 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0909 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6634 2023/02/01 23:12:12 - mmengine - INFO - Epoch(train) [141][ 880/1879] lr: 5.3205e-02 eta: 1 day, 6:46:21 time: 0.5260 data_time: 0.0309 memory: 18108 grad_norm: 3.5546 loss: 4.0519 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3943 top1_acc_1: 0.6706 top5_acc_1: 0.9412 loss_cls_1: 1.6576 2023/02/01 23:12:22 - mmengine - INFO - Epoch(train) [141][ 900/1879] lr: 5.3197e-02 eta: 1 day, 6:46:11 time: 0.5081 data_time: 0.0367 memory: 18108 grad_norm: 3.5385 loss: 3.7299 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1355 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.5944 2023/02/01 23:12:33 - mmengine - INFO - Epoch(train) [141][ 920/1879] lr: 5.3190e-02 eta: 1 day, 6:46:01 time: 0.5137 data_time: 0.0382 memory: 18108 grad_norm: 3.7223 loss: 3.9949 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2865 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.7084 2023/02/01 23:12:43 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 23:12:43 - mmengine - INFO - Epoch(train) [141][ 940/1879] lr: 5.3182e-02 eta: 1 day, 6:45:51 time: 0.5350 data_time: 0.0367 memory: 18108 grad_norm: 3.5925 loss: 3.8406 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2641 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.5765 2023/02/01 23:12:54 - mmengine - INFO - Epoch(train) [141][ 960/1879] lr: 5.3175e-02 eta: 1 day, 6:45:41 time: 0.5175 data_time: 0.0331 memory: 18108 grad_norm: 3.5713 loss: 3.8881 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 2.2677 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.6205 2023/02/01 23:13:04 - mmengine - INFO - Epoch(train) [141][ 980/1879] lr: 5.3167e-02 eta: 1 day, 6:45:31 time: 0.5135 data_time: 0.0443 memory: 18108 grad_norm: 3.7123 loss: 4.1031 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3507 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.7523 2023/02/01 23:13:15 - mmengine - INFO - Epoch(train) [141][1000/1879] lr: 5.3160e-02 eta: 1 day, 6:45:21 time: 0.5219 data_time: 0.0313 memory: 18108 grad_norm: 3.6495 loss: 3.9595 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3219 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.6376 2023/02/01 23:13:25 - mmengine - INFO - Epoch(train) [141][1020/1879] lr: 5.3152e-02 eta: 1 day, 6:45:11 time: 0.5315 data_time: 0.0356 memory: 18108 grad_norm: 3.5653 loss: 3.9944 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3546 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.6398 2023/02/01 23:13:35 - mmengine - INFO - Epoch(train) [141][1040/1879] lr: 5.3145e-02 eta: 1 day, 6:45:01 time: 0.5052 data_time: 0.0321 memory: 18108 grad_norm: 3.6070 loss: 3.9196 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2748 top1_acc_1: 0.6235 top5_acc_1: 0.9176 loss_cls_1: 1.6449 2023/02/01 23:13:46 - mmengine - INFO - Epoch(train) [141][1060/1879] lr: 5.3137e-02 eta: 1 day, 6:44:51 time: 0.5253 data_time: 0.0440 memory: 18108 grad_norm: 3.6073 loss: 4.1477 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.4587 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.6890 2023/02/01 23:13:56 - mmengine - INFO - Epoch(train) [141][1080/1879] lr: 5.3129e-02 eta: 1 day, 6:44:41 time: 0.5272 data_time: 0.0307 memory: 18108 grad_norm: 3.6709 loss: 4.0632 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.4216 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.6415 2023/02/01 23:14:07 - mmengine - INFO - Epoch(train) [141][1100/1879] lr: 5.3122e-02 eta: 1 day, 6:44:31 time: 0.5251 data_time: 0.0354 memory: 18108 grad_norm: 3.5612 loss: 3.8787 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2385 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.6403 2023/02/01 23:14:17 - mmengine - INFO - Epoch(train) [141][1120/1879] lr: 5.3114e-02 eta: 1 day, 6:44:21 time: 0.5143 data_time: 0.0386 memory: 18108 grad_norm: 3.5700 loss: 4.2419 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.5954 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.6465 2023/02/01 23:14:28 - mmengine - INFO - Epoch(train) [141][1140/1879] lr: 5.3107e-02 eta: 1 day, 6:44:11 time: 0.5291 data_time: 0.0366 memory: 18108 grad_norm: 3.6229 loss: 3.7864 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1341 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.6523 2023/02/01 23:14:38 - mmengine - INFO - Epoch(train) [141][1160/1879] lr: 5.3099e-02 eta: 1 day, 6:44:01 time: 0.5241 data_time: 0.0311 memory: 18108 grad_norm: 3.6536 loss: 3.9685 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2638 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7047 2023/02/01 23:14:49 - mmengine - INFO - Epoch(train) [141][1180/1879] lr: 5.3092e-02 eta: 1 day, 6:43:51 time: 0.5198 data_time: 0.0444 memory: 18108 grad_norm: 3.6175 loss: 3.9221 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.2198 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.7023 2023/02/01 23:14:59 - mmengine - INFO - Epoch(train) [141][1200/1879] lr: 5.3084e-02 eta: 1 day, 6:43:41 time: 0.5233 data_time: 0.0305 memory: 18108 grad_norm: 3.5264 loss: 3.8862 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2122 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.6740 2023/02/01 23:15:10 - mmengine - INFO - Epoch(train) [141][1220/1879] lr: 5.3077e-02 eta: 1 day, 6:43:31 time: 0.5352 data_time: 0.0352 memory: 18108 grad_norm: 3.5761 loss: 3.9943 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.3584 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.6359 2023/02/01 23:15:20 - mmengine - INFO - Epoch(train) [141][1240/1879] lr: 5.3069e-02 eta: 1 day, 6:43:21 time: 0.5126 data_time: 0.0395 memory: 18108 grad_norm: 3.6046 loss: 3.9298 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2460 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.6838 2023/02/01 23:15:31 - mmengine - INFO - Epoch(train) [141][1260/1879] lr: 5.3062e-02 eta: 1 day, 6:43:11 time: 0.5317 data_time: 0.0336 memory: 18108 grad_norm: 3.7133 loss: 3.8950 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.1932 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.7018 2023/02/01 23:15:41 - mmengine - INFO - Epoch(train) [141][1280/1879] lr: 5.3054e-02 eta: 1 day, 6:43:01 time: 0.5312 data_time: 0.0337 memory: 18108 grad_norm: 3.5929 loss: 3.7545 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.1398 top1_acc_1: 0.5176 top5_acc_1: 0.8353 loss_cls_1: 1.6147 2023/02/01 23:15:52 - mmengine - INFO - Epoch(train) [141][1300/1879] lr: 5.3047e-02 eta: 1 day, 6:42:51 time: 0.5206 data_time: 0.0362 memory: 18108 grad_norm: 3.5480 loss: 3.9475 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3168 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.6307 2023/02/01 23:16:02 - mmengine - INFO - Epoch(train) [141][1320/1879] lr: 5.3039e-02 eta: 1 day, 6:42:41 time: 0.5195 data_time: 0.0418 memory: 18108 grad_norm: 3.5756 loss: 3.7807 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.2405 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.5402 2023/02/01 23:16:13 - mmengine - INFO - Epoch(train) [141][1340/1879] lr: 5.3032e-02 eta: 1 day, 6:42:31 time: 0.5270 data_time: 0.0327 memory: 18108 grad_norm: 3.5714 loss: 3.9759 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3252 top1_acc_1: 0.6471 top5_acc_1: 0.9176 loss_cls_1: 1.6506 2023/02/01 23:16:23 - mmengine - INFO - Epoch(train) [141][1360/1879] lr: 5.3024e-02 eta: 1 day, 6:42:21 time: 0.5234 data_time: 0.0342 memory: 18108 grad_norm: 3.6241 loss: 4.3388 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.6226 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.7163 2023/02/01 23:16:34 - mmengine - INFO - Epoch(train) [141][1380/1879] lr: 5.3017e-02 eta: 1 day, 6:42:11 time: 0.5157 data_time: 0.0406 memory: 18108 grad_norm: 3.6457 loss: 4.0242 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.3578 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.6664 2023/02/01 23:16:44 - mmengine - INFO - Epoch(train) [141][1400/1879] lr: 5.3009e-02 eta: 1 day, 6:42:01 time: 0.5188 data_time: 0.0347 memory: 18108 grad_norm: 3.5792 loss: 4.0050 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3669 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.6382 2023/02/01 23:16:55 - mmengine - INFO - Epoch(train) [141][1420/1879] lr: 5.3002e-02 eta: 1 day, 6:41:51 time: 0.5271 data_time: 0.0332 memory: 18108 grad_norm: 3.5692 loss: 4.2193 top1_acc_0: 0.0625 top5_acc_0: 0.5000 loss_cls_0: 2.5228 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.6965 2023/02/01 23:17:05 - mmengine - INFO - Epoch(train) [141][1440/1879] lr: 5.2994e-02 eta: 1 day, 6:41:41 time: 0.5148 data_time: 0.0408 memory: 18108 grad_norm: 3.5698 loss: 3.8985 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2629 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.6356 2023/02/01 23:17:15 - mmengine - INFO - Epoch(train) [141][1460/1879] lr: 5.2987e-02 eta: 1 day, 6:41:31 time: 0.5185 data_time: 0.0373 memory: 18108 grad_norm: 3.6062 loss: 3.7082 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.0782 top1_acc_1: 0.5765 top5_acc_1: 0.7176 loss_cls_1: 1.6301 2023/02/01 23:17:26 - mmengine - INFO - Epoch(train) [141][1480/1879] lr: 5.2979e-02 eta: 1 day, 6:41:21 time: 0.5273 data_time: 0.0305 memory: 18108 grad_norm: 3.6012 loss: 3.8755 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2923 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.5831 2023/02/01 23:17:36 - mmengine - INFO - Epoch(train) [141][1500/1879] lr: 5.2972e-02 eta: 1 day, 6:41:11 time: 0.5155 data_time: 0.0397 memory: 18108 grad_norm: 3.6425 loss: 4.0315 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4098 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.6217 2023/02/01 23:17:47 - mmengine - INFO - Epoch(train) [141][1520/1879] lr: 5.2964e-02 eta: 1 day, 6:41:01 time: 0.5206 data_time: 0.0367 memory: 18108 grad_norm: 3.5406 loss: 3.8301 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2101 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.6200 2023/02/01 23:17:57 - mmengine - INFO - Epoch(train) [141][1540/1879] lr: 5.2957e-02 eta: 1 day, 6:40:51 time: 0.5204 data_time: 0.0398 memory: 18108 grad_norm: 3.6229 loss: 3.8554 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2188 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.6366 2023/02/01 23:18:08 - mmengine - INFO - Epoch(train) [141][1560/1879] lr: 5.2949e-02 eta: 1 day, 6:40:41 time: 0.5348 data_time: 0.0295 memory: 18108 grad_norm: 3.6275 loss: 4.0315 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4067 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6248 2023/02/01 23:18:18 - mmengine - INFO - Epoch(train) [141][1580/1879] lr: 5.2942e-02 eta: 1 day, 6:40:31 time: 0.5221 data_time: 0.0474 memory: 18108 grad_norm: 3.6438 loss: 3.8174 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.1602 top1_acc_1: 0.6000 top5_acc_1: 0.9176 loss_cls_1: 1.6572 2023/02/01 23:18:29 - mmengine - INFO - Epoch(train) [141][1600/1879] lr: 5.2934e-02 eta: 1 day, 6:40:21 time: 0.5251 data_time: 0.0308 memory: 18108 grad_norm: 3.6078 loss: 4.1618 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4717 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.6901 2023/02/01 23:18:39 - mmengine - INFO - Epoch(train) [141][1620/1879] lr: 5.2926e-02 eta: 1 day, 6:40:11 time: 0.5269 data_time: 0.0359 memory: 18108 grad_norm: 3.5885 loss: 4.1746 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5129 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6617 2023/02/01 23:18:50 - mmengine - INFO - Epoch(train) [141][1640/1879] lr: 5.2919e-02 eta: 1 day, 6:40:01 time: 0.5276 data_time: 0.0393 memory: 18108 grad_norm: 3.6121 loss: 3.6524 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0626 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5899 2023/02/01 23:19:00 - mmengine - INFO - Epoch(train) [141][1660/1879] lr: 5.2911e-02 eta: 1 day, 6:39:51 time: 0.5227 data_time: 0.0362 memory: 18108 grad_norm: 3.7346 loss: 4.2470 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5235 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.7235 2023/02/01 23:19:11 - mmengine - INFO - Epoch(train) [141][1680/1879] lr: 5.2904e-02 eta: 1 day, 6:39:41 time: 0.5336 data_time: 0.0323 memory: 18108 grad_norm: 3.6369 loss: 4.1794 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4317 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.7478 2023/02/01 23:19:22 - mmengine - INFO - Epoch(train) [141][1700/1879] lr: 5.2896e-02 eta: 1 day, 6:39:31 time: 0.5387 data_time: 0.0486 memory: 18108 grad_norm: 3.5808 loss: 4.0505 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4104 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.6400 2023/02/01 23:19:32 - mmengine - INFO - Epoch(train) [141][1720/1879] lr: 5.2889e-02 eta: 1 day, 6:39:21 time: 0.5168 data_time: 0.0307 memory: 18108 grad_norm: 3.5977 loss: 4.1115 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5065 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.6050 2023/02/01 23:19:42 - mmengine - INFO - Epoch(train) [141][1740/1879] lr: 5.2881e-02 eta: 1 day, 6:39:11 time: 0.5129 data_time: 0.0367 memory: 18108 grad_norm: 3.6579 loss: 4.0599 top1_acc_0: 0.1875 top5_acc_0: 0.8125 loss_cls_0: 2.3179 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.7420 2023/02/01 23:19:53 - mmengine - INFO - Epoch(train) [141][1760/1879] lr: 5.2874e-02 eta: 1 day, 6:39:01 time: 0.5349 data_time: 0.0290 memory: 18108 grad_norm: 3.6069 loss: 4.1543 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.4278 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.7265 2023/02/01 23:20:04 - mmengine - INFO - Epoch(train) [141][1780/1879] lr: 5.2866e-02 eta: 1 day, 6:38:51 time: 0.5296 data_time: 0.0423 memory: 18108 grad_norm: 3.5700 loss: 4.1733 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.5560 top1_acc_1: 0.6706 top5_acc_1: 0.8000 loss_cls_1: 1.6173 2023/02/01 23:20:14 - mmengine - INFO - Epoch(train) [141][1800/1879] lr: 5.2859e-02 eta: 1 day, 6:38:41 time: 0.5102 data_time: 0.0313 memory: 18108 grad_norm: 3.5260 loss: 3.8221 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.2299 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.5922 2023/02/01 23:20:25 - mmengine - INFO - Epoch(train) [141][1820/1879] lr: 5.2851e-02 eta: 1 day, 6:38:32 time: 0.5404 data_time: 0.0360 memory: 18108 grad_norm: 3.5799 loss: 3.9168 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2062 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.7106 2023/02/01 23:20:36 - mmengine - INFO - Epoch(train) [141][1840/1879] lr: 5.2844e-02 eta: 1 day, 6:38:22 time: 0.5346 data_time: 0.0479 memory: 18108 grad_norm: 3.5611 loss: 4.0652 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4883 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.5769 2023/02/01 23:20:46 - mmengine - INFO - Epoch(train) [141][1860/1879] lr: 5.2836e-02 eta: 1 day, 6:38:11 time: 0.5057 data_time: 0.0363 memory: 18108 grad_norm: 3.6252 loss: 4.0880 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4853 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.6027 2023/02/01 23:20:55 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 23:20:55 - mmengine - INFO - Epoch(train) [141][1879/1879] lr: 5.2829e-02 eta: 1 day, 6:38:02 time: 0.4997 data_time: 0.0270 memory: 18108 grad_norm: 3.6979 loss: 4.1023 top1_acc_0: 0.7143 top5_acc_0: 0.7143 loss_cls_0: 2.4044 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.6979 2023/02/01 23:21:10 - mmengine - INFO - Epoch(train) [142][ 20/1879] lr: 5.2822e-02 eta: 1 day, 6:37:55 time: 0.7260 data_time: 0.2691 memory: 18108 grad_norm: 3.4874 loss: 3.7029 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1145 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5884 2023/02/01 23:21:20 - mmengine - INFO - Epoch(train) [142][ 40/1879] lr: 5.2814e-02 eta: 1 day, 6:37:44 time: 0.4806 data_time: 0.0331 memory: 18108 grad_norm: 3.4742 loss: 3.7555 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.1807 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.5749 2023/02/01 23:21:30 - mmengine - INFO - Epoch(train) [142][ 60/1879] lr: 5.2807e-02 eta: 1 day, 6:37:34 time: 0.4827 data_time: 0.0362 memory: 18108 grad_norm: 3.5909 loss: 3.9327 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2443 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.6883 2023/02/01 23:21:30 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 23:21:40 - mmengine - INFO - Epoch(train) [142][ 80/1879] lr: 5.2799e-02 eta: 1 day, 6:37:23 time: 0.4999 data_time: 0.0432 memory: 18108 grad_norm: 3.6377 loss: 3.8086 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.2175 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.5911 2023/02/01 23:21:49 - mmengine - INFO - Epoch(train) [142][ 100/1879] lr: 5.2792e-02 eta: 1 day, 6:37:12 time: 0.4827 data_time: 0.0376 memory: 18108 grad_norm: 3.5854 loss: 3.9524 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4256 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.5268 2023/02/01 23:21:59 - mmengine - INFO - Epoch(train) [142][ 120/1879] lr: 5.2784e-02 eta: 1 day, 6:37:02 time: 0.4766 data_time: 0.0326 memory: 18108 grad_norm: 3.6421 loss: 3.8728 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2179 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.6549 2023/02/01 23:22:09 - mmengine - INFO - Epoch(train) [142][ 140/1879] lr: 5.2776e-02 eta: 1 day, 6:36:52 time: 0.5160 data_time: 0.0366 memory: 18108 grad_norm: 3.6036 loss: 3.8851 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2947 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.5904 2023/02/01 23:22:19 - mmengine - INFO - Epoch(train) [142][ 160/1879] lr: 5.2769e-02 eta: 1 day, 6:36:41 time: 0.4863 data_time: 0.0317 memory: 18108 grad_norm: 3.5761 loss: 3.7813 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2888 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.4924 2023/02/01 23:22:29 - mmengine - INFO - Epoch(train) [142][ 180/1879] lr: 5.2761e-02 eta: 1 day, 6:36:30 time: 0.4815 data_time: 0.0350 memory: 18108 grad_norm: 3.6322 loss: 3.6314 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.0511 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.5804 2023/02/01 23:22:39 - mmengine - INFO - Epoch(train) [142][ 200/1879] lr: 5.2754e-02 eta: 1 day, 6:36:20 time: 0.4941 data_time: 0.0388 memory: 18108 grad_norm: 3.5904 loss: 3.8845 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2106 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.6739 2023/02/01 23:22:49 - mmengine - INFO - Epoch(train) [142][ 220/1879] lr: 5.2746e-02 eta: 1 day, 6:36:10 time: 0.5073 data_time: 0.0356 memory: 18108 grad_norm: 3.6134 loss: 4.2867 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.6658 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.6209 2023/02/01 23:22:58 - mmengine - INFO - Epoch(train) [142][ 240/1879] lr: 5.2739e-02 eta: 1 day, 6:35:59 time: 0.4840 data_time: 0.0338 memory: 18108 grad_norm: 3.5968 loss: 3.9282 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2313 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.6970 2023/02/01 23:23:09 - mmengine - INFO - Epoch(train) [142][ 260/1879] lr: 5.2731e-02 eta: 1 day, 6:35:49 time: 0.5021 data_time: 0.0339 memory: 18108 grad_norm: 3.6457 loss: 3.8438 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2761 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.5678 2023/02/01 23:23:19 - mmengine - INFO - Epoch(train) [142][ 280/1879] lr: 5.2724e-02 eta: 1 day, 6:35:38 time: 0.5014 data_time: 0.0390 memory: 18108 grad_norm: 3.6821 loss: 3.9675 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4180 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.5495 2023/02/01 23:23:29 - mmengine - INFO - Epoch(train) [142][ 300/1879] lr: 5.2716e-02 eta: 1 day, 6:35:28 time: 0.4990 data_time: 0.0335 memory: 18108 grad_norm: 3.6030 loss: 3.9134 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3587 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.5548 2023/02/01 23:23:38 - mmengine - INFO - Epoch(train) [142][ 320/1879] lr: 5.2709e-02 eta: 1 day, 6:35:17 time: 0.4872 data_time: 0.0342 memory: 18108 grad_norm: 3.6431 loss: 3.6060 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.0700 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.5360 2023/02/01 23:23:49 - mmengine - INFO - Epoch(train) [142][ 340/1879] lr: 5.2701e-02 eta: 1 day, 6:35:07 time: 0.5095 data_time: 0.0434 memory: 18108 grad_norm: 3.5655 loss: 3.7278 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.1954 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.5324 2023/02/01 23:23:58 - mmengine - INFO - Epoch(train) [142][ 360/1879] lr: 5.2694e-02 eta: 1 day, 6:34:57 time: 0.4888 data_time: 0.0342 memory: 18108 grad_norm: 3.6824 loss: 3.9917 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3526 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.6390 2023/02/01 23:24:09 - mmengine - INFO - Epoch(train) [142][ 380/1879] lr: 5.2686e-02 eta: 1 day, 6:34:46 time: 0.5155 data_time: 0.0365 memory: 18108 grad_norm: 3.6259 loss: 3.9379 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3515 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.5864 2023/02/01 23:24:19 - mmengine - INFO - Epoch(train) [142][ 400/1879] lr: 5.2679e-02 eta: 1 day, 6:34:36 time: 0.4968 data_time: 0.0392 memory: 18108 grad_norm: 3.5651 loss: 3.7264 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 2.1138 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6126 2023/02/01 23:24:29 - mmengine - INFO - Epoch(train) [142][ 420/1879] lr: 5.2671e-02 eta: 1 day, 6:34:26 time: 0.4987 data_time: 0.0336 memory: 18108 grad_norm: 3.5952 loss: 4.0108 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.3415 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.6693 2023/02/01 23:24:38 - mmengine - INFO - Epoch(train) [142][ 440/1879] lr: 5.2664e-02 eta: 1 day, 6:34:15 time: 0.4905 data_time: 0.0359 memory: 18108 grad_norm: 3.5541 loss: 3.8197 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2318 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.5879 2023/02/01 23:24:48 - mmengine - INFO - Epoch(train) [142][ 460/1879] lr: 5.2656e-02 eta: 1 day, 6:34:05 time: 0.4921 data_time: 0.0334 memory: 18108 grad_norm: 3.5319 loss: 3.9569 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3441 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.6127 2023/02/01 23:24:58 - mmengine - INFO - Epoch(train) [142][ 480/1879] lr: 5.2649e-02 eta: 1 day, 6:33:54 time: 0.4980 data_time: 0.0411 memory: 18108 grad_norm: 3.6175 loss: 3.9844 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4697 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.5147 2023/02/01 23:25:08 - mmengine - INFO - Epoch(train) [142][ 500/1879] lr: 5.2641e-02 eta: 1 day, 6:33:44 time: 0.4953 data_time: 0.0344 memory: 18108 grad_norm: 3.6655 loss: 3.8665 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2239 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.6426 2023/02/01 23:25:18 - mmengine - INFO - Epoch(train) [142][ 520/1879] lr: 5.2634e-02 eta: 1 day, 6:33:34 time: 0.5129 data_time: 0.0346 memory: 18108 grad_norm: 3.5941 loss: 3.9915 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3523 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.6391 2023/02/01 23:25:28 - mmengine - INFO - Epoch(train) [142][ 540/1879] lr: 5.2626e-02 eta: 1 day, 6:33:23 time: 0.4991 data_time: 0.0405 memory: 18108 grad_norm: 3.6680 loss: 3.7350 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.0968 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.6381 2023/02/01 23:25:39 - mmengine - INFO - Epoch(train) [142][ 560/1879] lr: 5.2619e-02 eta: 1 day, 6:33:13 time: 0.5161 data_time: 0.0374 memory: 18108 grad_norm: 3.6426 loss: 3.7738 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1629 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.6108 2023/02/01 23:25:49 - mmengine - INFO - Epoch(train) [142][ 580/1879] lr: 5.2611e-02 eta: 1 day, 6:33:03 time: 0.5156 data_time: 0.0342 memory: 18108 grad_norm: 3.6050 loss: 4.1176 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4555 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.6622 2023/02/01 23:25:59 - mmengine - INFO - Epoch(train) [142][ 600/1879] lr: 5.2604e-02 eta: 1 day, 6:32:53 time: 0.5176 data_time: 0.0401 memory: 18108 grad_norm: 3.6104 loss: 3.9576 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.2289 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.7287 2023/02/01 23:26:10 - mmengine - INFO - Epoch(train) [142][ 620/1879] lr: 5.2596e-02 eta: 1 day, 6:32:43 time: 0.5168 data_time: 0.0349 memory: 18108 grad_norm: 3.6394 loss: 3.9526 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3376 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.6150 2023/02/01 23:26:20 - mmengine - INFO - Epoch(train) [142][ 640/1879] lr: 5.2588e-02 eta: 1 day, 6:32:33 time: 0.5129 data_time: 0.0352 memory: 18108 grad_norm: 3.5879 loss: 3.7109 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.1073 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.6036 2023/02/01 23:26:31 - mmengine - INFO - Epoch(train) [142][ 660/1879] lr: 5.2581e-02 eta: 1 day, 6:32:23 time: 0.5425 data_time: 0.0344 memory: 18108 grad_norm: 3.6578 loss: 3.8088 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1709 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.6378 2023/02/01 23:26:41 - mmengine - INFO - Epoch(train) [142][ 680/1879] lr: 5.2573e-02 eta: 1 day, 6:32:13 time: 0.5134 data_time: 0.0348 memory: 18108 grad_norm: 3.5974 loss: 4.1199 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4751 top1_acc_1: 0.7176 top5_acc_1: 0.8235 loss_cls_1: 1.6448 2023/02/01 23:26:52 - mmengine - INFO - Epoch(train) [142][ 700/1879] lr: 5.2566e-02 eta: 1 day, 6:32:03 time: 0.5304 data_time: 0.0362 memory: 18108 grad_norm: 3.6476 loss: 3.7130 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1036 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.6093 2023/02/01 23:27:02 - mmengine - INFO - Epoch(train) [142][ 720/1879] lr: 5.2558e-02 eta: 1 day, 6:31:53 time: 0.5162 data_time: 0.0293 memory: 18108 grad_norm: 3.5908 loss: 4.0906 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3888 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7017 2023/02/01 23:27:13 - mmengine - INFO - Epoch(train) [142][ 740/1879] lr: 5.2551e-02 eta: 1 day, 6:31:43 time: 0.5278 data_time: 0.0430 memory: 18108 grad_norm: 3.5977 loss: 4.0587 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.4281 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.6306 2023/02/01 23:27:23 - mmengine - INFO - Epoch(train) [142][ 760/1879] lr: 5.2543e-02 eta: 1 day, 6:31:33 time: 0.5216 data_time: 0.0297 memory: 18108 grad_norm: 3.5760 loss: 4.0328 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.4362 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.5966 2023/02/01 23:27:34 - mmengine - INFO - Epoch(train) [142][ 780/1879] lr: 5.2536e-02 eta: 1 day, 6:31:23 time: 0.5247 data_time: 0.0360 memory: 18108 grad_norm: 3.6243 loss: 3.9287 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2943 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.6344 2023/02/01 23:27:44 - mmengine - INFO - Epoch(train) [142][ 800/1879] lr: 5.2528e-02 eta: 1 day, 6:31:13 time: 0.5316 data_time: 0.0360 memory: 18108 grad_norm: 3.6317 loss: 3.8897 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3398 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.5500 2023/02/01 23:27:55 - mmengine - INFO - Epoch(train) [142][ 820/1879] lr: 5.2521e-02 eta: 1 day, 6:31:03 time: 0.5180 data_time: 0.0379 memory: 18108 grad_norm: 3.6149 loss: 4.3010 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.6296 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.6714 2023/02/01 23:28:05 - mmengine - INFO - Epoch(train) [142][ 840/1879] lr: 5.2513e-02 eta: 1 day, 6:30:53 time: 0.5283 data_time: 0.0313 memory: 18108 grad_norm: 3.6194 loss: 4.0964 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.3910 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.7053 2023/02/01 23:28:16 - mmengine - INFO - Epoch(train) [142][ 860/1879] lr: 5.2506e-02 eta: 1 day, 6:30:43 time: 0.5336 data_time: 0.0454 memory: 18108 grad_norm: 3.5120 loss: 3.6520 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0998 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.5523 2023/02/01 23:28:26 - mmengine - INFO - Epoch(train) [142][ 880/1879] lr: 5.2498e-02 eta: 1 day, 6:30:33 time: 0.5170 data_time: 0.0307 memory: 18108 grad_norm: 3.6595 loss: 3.9349 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2049 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7301 2023/02/01 23:28:37 - mmengine - INFO - Epoch(train) [142][ 900/1879] lr: 5.2491e-02 eta: 1 day, 6:30:23 time: 0.5191 data_time: 0.0361 memory: 18108 grad_norm: 3.6028 loss: 3.6903 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0562 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.6342 2023/02/01 23:28:47 - mmengine - INFO - Epoch(train) [142][ 920/1879] lr: 5.2483e-02 eta: 1 day, 6:30:13 time: 0.5245 data_time: 0.0317 memory: 18108 grad_norm: 3.6686 loss: 4.0095 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3145 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.6950 2023/02/01 23:28:58 - mmengine - INFO - Epoch(train) [142][ 940/1879] lr: 5.2476e-02 eta: 1 day, 6:30:03 time: 0.5284 data_time: 0.0444 memory: 18108 grad_norm: 3.7026 loss: 4.1604 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.4412 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.7193 2023/02/01 23:29:08 - mmengine - INFO - Epoch(train) [142][ 960/1879] lr: 5.2468e-02 eta: 1 day, 6:29:53 time: 0.5021 data_time: 0.0362 memory: 18108 grad_norm: 3.6828 loss: 3.8469 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2901 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.5567 2023/02/01 23:29:18 - mmengine - INFO - Epoch(train) [142][ 980/1879] lr: 5.2461e-02 eta: 1 day, 6:29:43 time: 0.5238 data_time: 0.0324 memory: 18108 grad_norm: 3.6005 loss: 3.8106 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.2271 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.5835 2023/02/01 23:29:29 - mmengine - INFO - Epoch(train) [142][1000/1879] lr: 5.2453e-02 eta: 1 day, 6:29:33 time: 0.5182 data_time: 0.0430 memory: 18108 grad_norm: 3.6001 loss: 3.9549 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3982 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.5566 2023/02/01 23:29:39 - mmengine - INFO - Epoch(train) [142][1020/1879] lr: 5.2446e-02 eta: 1 day, 6:29:22 time: 0.5124 data_time: 0.0307 memory: 18108 grad_norm: 3.5467 loss: 4.4132 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.7077 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.7054 2023/02/01 23:29:50 - mmengine - INFO - Epoch(train) [142][1040/1879] lr: 5.2438e-02 eta: 1 day, 6:29:12 time: 0.5232 data_time: 0.0364 memory: 18108 grad_norm: 3.6306 loss: 3.9432 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.3484 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.5948 2023/02/01 23:30:00 - mmengine - INFO - Epoch(train) [142][1060/1879] lr: 5.2431e-02 eta: 1 day, 6:29:02 time: 0.5148 data_time: 0.0312 memory: 18108 grad_norm: 3.5136 loss: 4.1023 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.4573 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.6450 2023/02/01 23:30:00 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 23:30:10 - mmengine - INFO - Epoch(train) [142][1080/1879] lr: 5.2423e-02 eta: 1 day, 6:28:52 time: 0.5206 data_time: 0.0362 memory: 18108 grad_norm: 3.6485 loss: 3.8063 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.2423 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.5641 2023/02/01 23:30:21 - mmengine - INFO - Epoch(train) [142][1100/1879] lr: 5.2415e-02 eta: 1 day, 6:28:42 time: 0.5200 data_time: 0.0321 memory: 18108 grad_norm: 3.5535 loss: 3.9261 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.3022 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.6239 2023/02/01 23:30:31 - mmengine - INFO - Epoch(train) [142][1120/1879] lr: 5.2408e-02 eta: 1 day, 6:28:32 time: 0.5079 data_time: 0.0338 memory: 18108 grad_norm: 3.6602 loss: 3.9720 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3097 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.6623 2023/02/01 23:30:41 - mmengine - INFO - Epoch(train) [142][1140/1879] lr: 5.2400e-02 eta: 1 day, 6:28:22 time: 0.5081 data_time: 0.0341 memory: 18108 grad_norm: 3.6112 loss: 4.0130 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3267 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.6863 2023/02/01 23:30:52 - mmengine - INFO - Epoch(train) [142][1160/1879] lr: 5.2393e-02 eta: 1 day, 6:28:12 time: 0.5211 data_time: 0.0330 memory: 18108 grad_norm: 3.6600 loss: 4.1867 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.5203 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.6663 2023/02/01 23:31:02 - mmengine - INFO - Epoch(train) [142][1180/1879] lr: 5.2385e-02 eta: 1 day, 6:28:01 time: 0.5101 data_time: 0.0331 memory: 18108 grad_norm: 3.6587 loss: 3.9533 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3267 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.6267 2023/02/01 23:31:12 - mmengine - INFO - Epoch(train) [142][1200/1879] lr: 5.2378e-02 eta: 1 day, 6:27:51 time: 0.5087 data_time: 0.0348 memory: 18108 grad_norm: 3.6908 loss: 3.9975 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.3924 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.6051 2023/02/01 23:31:22 - mmengine - INFO - Epoch(train) [142][1220/1879] lr: 5.2370e-02 eta: 1 day, 6:27:41 time: 0.5005 data_time: 0.0388 memory: 18108 grad_norm: 3.6016 loss: 4.1160 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.4086 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.7074 2023/02/01 23:31:32 - mmengine - INFO - Epoch(train) [142][1240/1879] lr: 5.2363e-02 eta: 1 day, 6:27:31 time: 0.5210 data_time: 0.0372 memory: 18108 grad_norm: 3.6980 loss: 4.1193 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4496 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.6697 2023/02/01 23:31:43 - mmengine - INFO - Epoch(train) [142][1260/1879] lr: 5.2355e-02 eta: 1 day, 6:27:21 time: 0.5039 data_time: 0.0341 memory: 18108 grad_norm: 3.6112 loss: 3.8029 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.1822 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.6208 2023/02/01 23:31:53 - mmengine - INFO - Epoch(train) [142][1280/1879] lr: 5.2348e-02 eta: 1 day, 6:27:10 time: 0.5085 data_time: 0.0350 memory: 18108 grad_norm: 3.5677 loss: 3.8051 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.1362 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.6689 2023/02/01 23:32:03 - mmengine - INFO - Epoch(train) [142][1300/1879] lr: 5.2340e-02 eta: 1 day, 6:27:00 time: 0.5173 data_time: 0.0403 memory: 18108 grad_norm: 3.6899 loss: 3.7994 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.1195 top1_acc_1: 0.5765 top5_acc_1: 0.8824 loss_cls_1: 1.6799 2023/02/01 23:32:13 - mmengine - INFO - Epoch(train) [142][1320/1879] lr: 5.2333e-02 eta: 1 day, 6:26:50 time: 0.5160 data_time: 0.0330 memory: 18108 grad_norm: 3.5920 loss: 3.8702 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2417 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.6285 2023/02/01 23:32:24 - mmengine - INFO - Epoch(train) [142][1340/1879] lr: 5.2325e-02 eta: 1 day, 6:26:40 time: 0.5047 data_time: 0.0380 memory: 18108 grad_norm: 3.5911 loss: 4.2195 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5153 top1_acc_1: 0.6235 top5_acc_1: 0.8941 loss_cls_1: 1.7042 2023/02/01 23:32:34 - mmengine - INFO - Epoch(train) [142][1360/1879] lr: 5.2318e-02 eta: 1 day, 6:26:29 time: 0.5061 data_time: 0.0344 memory: 18108 grad_norm: 3.5631 loss: 4.0170 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.3180 top1_acc_1: 0.6824 top5_acc_1: 0.8000 loss_cls_1: 1.6990 2023/02/01 23:32:44 - mmengine - INFO - Epoch(train) [142][1380/1879] lr: 5.2310e-02 eta: 1 day, 6:26:20 time: 0.5264 data_time: 0.0334 memory: 18108 grad_norm: 3.6180 loss: 3.9077 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2625 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.6452 2023/02/01 23:32:54 - mmengine - INFO - Epoch(train) [142][1400/1879] lr: 5.2303e-02 eta: 1 day, 6:26:09 time: 0.5061 data_time: 0.0341 memory: 18108 grad_norm: 3.5630 loss: 4.0256 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.3017 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7239 2023/02/01 23:33:05 - mmengine - INFO - Epoch(train) [142][1420/1879] lr: 5.2295e-02 eta: 1 day, 6:25:59 time: 0.5130 data_time: 0.0341 memory: 18108 grad_norm: 3.5710 loss: 3.8092 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2201 top1_acc_1: 0.7059 top5_acc_1: 0.8235 loss_cls_1: 1.5891 2023/02/01 23:33:15 - mmengine - INFO - Epoch(train) [142][1440/1879] lr: 5.2288e-02 eta: 1 day, 6:25:49 time: 0.5050 data_time: 0.0336 memory: 18108 grad_norm: 3.6037 loss: 4.0274 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3475 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.6799 2023/02/01 23:33:25 - mmengine - INFO - Epoch(train) [142][1460/1879] lr: 5.2280e-02 eta: 1 day, 6:25:39 time: 0.5309 data_time: 0.0394 memory: 18108 grad_norm: 3.6533 loss: 4.0318 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4243 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.6075 2023/02/01 23:33:35 - mmengine - INFO - Epoch(train) [142][1480/1879] lr: 5.2273e-02 eta: 1 day, 6:25:29 time: 0.4981 data_time: 0.0355 memory: 18108 grad_norm: 3.7013 loss: 3.9843 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3522 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.6321 2023/02/01 23:33:46 - mmengine - INFO - Epoch(train) [142][1500/1879] lr: 5.2265e-02 eta: 1 day, 6:25:18 time: 0.5182 data_time: 0.0354 memory: 18108 grad_norm: 3.5888 loss: 4.0435 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.4229 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6206 2023/02/01 23:33:56 - mmengine - INFO - Epoch(train) [142][1520/1879] lr: 5.2257e-02 eta: 1 day, 6:25:08 time: 0.5244 data_time: 0.0341 memory: 18108 grad_norm: 3.6154 loss: 3.9839 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3041 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.6798 2023/02/01 23:34:07 - mmengine - INFO - Epoch(train) [142][1540/1879] lr: 5.2250e-02 eta: 1 day, 6:24:58 time: 0.5194 data_time: 0.0333 memory: 18108 grad_norm: 3.6733 loss: 4.1251 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.4389 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.6862 2023/02/01 23:34:17 - mmengine - INFO - Epoch(train) [142][1560/1879] lr: 5.2242e-02 eta: 1 day, 6:24:48 time: 0.5179 data_time: 0.0350 memory: 18108 grad_norm: 3.6331 loss: 3.9856 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3330 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.6525 2023/02/01 23:34:27 - mmengine - INFO - Epoch(train) [142][1580/1879] lr: 5.2235e-02 eta: 1 day, 6:24:38 time: 0.5156 data_time: 0.0334 memory: 18108 grad_norm: 3.6567 loss: 3.8970 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1799 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.7171 2023/02/01 23:34:38 - mmengine - INFO - Epoch(train) [142][1600/1879] lr: 5.2227e-02 eta: 1 day, 6:24:28 time: 0.5148 data_time: 0.0398 memory: 18108 grad_norm: 3.6482 loss: 4.0934 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3912 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.7021 2023/02/01 23:34:48 - mmengine - INFO - Epoch(train) [142][1620/1879] lr: 5.2220e-02 eta: 1 day, 6:24:18 time: 0.5070 data_time: 0.0334 memory: 18108 grad_norm: 3.5534 loss: 4.0723 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4612 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.6111 2023/02/01 23:34:58 - mmengine - INFO - Epoch(train) [142][1640/1879] lr: 5.2212e-02 eta: 1 day, 6:24:08 time: 0.5190 data_time: 0.0332 memory: 18108 grad_norm: 3.6393 loss: 3.9731 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.3566 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.6165 2023/02/01 23:35:09 - mmengine - INFO - Epoch(train) [142][1660/1879] lr: 5.2205e-02 eta: 1 day, 6:23:58 time: 0.5182 data_time: 0.0319 memory: 18108 grad_norm: 3.5672 loss: 4.2722 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5289 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.7434 2023/02/01 23:35:19 - mmengine - INFO - Epoch(train) [142][1680/1879] lr: 5.2197e-02 eta: 1 day, 6:23:47 time: 0.5108 data_time: 0.0415 memory: 18108 grad_norm: 3.6696 loss: 3.9441 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.3276 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.6165 2023/02/01 23:35:29 - mmengine - INFO - Epoch(train) [142][1700/1879] lr: 5.2190e-02 eta: 1 day, 6:23:37 time: 0.5247 data_time: 0.0327 memory: 18108 grad_norm: 3.6049 loss: 4.0236 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3615 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.6621 2023/02/01 23:35:40 - mmengine - INFO - Epoch(train) [142][1720/1879] lr: 5.2182e-02 eta: 1 day, 6:23:27 time: 0.5165 data_time: 0.0341 memory: 18108 grad_norm: 3.5959 loss: 3.8877 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3075 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.5802 2023/02/01 23:35:50 - mmengine - INFO - Epoch(train) [142][1740/1879] lr: 5.2175e-02 eta: 1 day, 6:23:17 time: 0.5087 data_time: 0.0311 memory: 18108 grad_norm: 3.6010 loss: 4.0015 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3455 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.6560 2023/02/01 23:36:00 - mmengine - INFO - Epoch(train) [142][1760/1879] lr: 5.2167e-02 eta: 1 day, 6:23:07 time: 0.5046 data_time: 0.0423 memory: 18108 grad_norm: 3.5920 loss: 3.8758 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2728 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.6031 2023/02/01 23:36:10 - mmengine - INFO - Epoch(train) [142][1780/1879] lr: 5.2160e-02 eta: 1 day, 6:22:57 time: 0.5076 data_time: 0.0334 memory: 18108 grad_norm: 3.6850 loss: 4.0081 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.3621 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.6460 2023/02/01 23:36:20 - mmengine - INFO - Epoch(train) [142][1800/1879] lr: 5.2152e-02 eta: 1 day, 6:22:46 time: 0.5142 data_time: 0.0350 memory: 18108 grad_norm: 3.5965 loss: 3.9889 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 2.3558 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.6331 2023/02/01 23:36:31 - mmengine - INFO - Epoch(train) [142][1820/1879] lr: 5.2145e-02 eta: 1 day, 6:22:36 time: 0.5037 data_time: 0.0329 memory: 18108 grad_norm: 3.5963 loss: 4.1035 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3113 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.7923 2023/02/01 23:36:41 - mmengine - INFO - Epoch(train) [142][1840/1879] lr: 5.2137e-02 eta: 1 day, 6:22:26 time: 0.5074 data_time: 0.0421 memory: 18108 grad_norm: 3.6098 loss: 3.8031 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.1422 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.6609 2023/02/01 23:36:51 - mmengine - INFO - Epoch(train) [142][1860/1879] lr: 5.2130e-02 eta: 1 day, 6:22:16 time: 0.5161 data_time: 0.0330 memory: 18108 grad_norm: 3.5951 loss: 3.8799 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3174 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.5625 2023/02/01 23:37:00 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 23:37:00 - mmengine - INFO - Epoch(train) [142][1879/1879] lr: 5.2122e-02 eta: 1 day, 6:22:06 time: 0.4821 data_time: 0.0304 memory: 18108 grad_norm: 3.6906 loss: 4.1212 top1_acc_0: 0.2857 top5_acc_0: 0.4286 loss_cls_0: 2.4803 top1_acc_1: 0.5059 top5_acc_1: 0.7176 loss_cls_1: 1.6409 2023/02/01 23:37:15 - mmengine - INFO - Epoch(train) [143][ 20/1879] lr: 5.2115e-02 eta: 1 day, 6:21:58 time: 0.7026 data_time: 0.2599 memory: 18108 grad_norm: 3.5279 loss: 4.0223 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3419 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.6804 2023/02/01 23:37:24 - mmengine - INFO - Epoch(train) [143][ 40/1879] lr: 5.2107e-02 eta: 1 day, 6:21:48 time: 0.4673 data_time: 0.0350 memory: 18108 grad_norm: 3.5878 loss: 3.6576 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.0234 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.6341 2023/02/01 23:37:34 - mmengine - INFO - Epoch(train) [143][ 60/1879] lr: 5.2100e-02 eta: 1 day, 6:21:37 time: 0.4718 data_time: 0.0371 memory: 18108 grad_norm: 3.6241 loss: 4.0383 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2970 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.7413 2023/02/01 23:37:44 - mmengine - INFO - Epoch(train) [143][ 80/1879] lr: 5.2092e-02 eta: 1 day, 6:21:26 time: 0.5005 data_time: 0.0420 memory: 18108 grad_norm: 3.6026 loss: 3.7732 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1367 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.6364 2023/02/01 23:37:53 - mmengine - INFO - Epoch(train) [143][ 100/1879] lr: 5.2085e-02 eta: 1 day, 6:21:16 time: 0.4717 data_time: 0.0357 memory: 18108 grad_norm: 3.6213 loss: 3.6063 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1145 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.4917 2023/02/01 23:38:03 - mmengine - INFO - Epoch(train) [143][ 120/1879] lr: 5.2077e-02 eta: 1 day, 6:21:05 time: 0.4703 data_time: 0.0341 memory: 18108 grad_norm: 3.6352 loss: 4.0186 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4540 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.5646 2023/02/01 23:38:13 - mmengine - INFO - Epoch(train) [143][ 140/1879] lr: 5.2070e-02 eta: 1 day, 6:20:54 time: 0.4983 data_time: 0.0436 memory: 18108 grad_norm: 3.6484 loss: 4.1394 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4790 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.6604 2023/02/01 23:38:22 - mmengine - INFO - Epoch(train) [143][ 160/1879] lr: 5.2062e-02 eta: 1 day, 6:20:44 time: 0.4804 data_time: 0.0333 memory: 18108 grad_norm: 3.6530 loss: 4.0174 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.3765 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.6409 2023/02/01 23:38:32 - mmengine - INFO - Epoch(train) [143][ 180/1879] lr: 5.2055e-02 eta: 1 day, 6:20:33 time: 0.4899 data_time: 0.0371 memory: 18108 grad_norm: 3.5337 loss: 4.0308 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4169 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.6139 2023/02/01 23:38:33 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 23:38:42 - mmengine - INFO - Epoch(train) [143][ 200/1879] lr: 5.2047e-02 eta: 1 day, 6:20:22 time: 0.4870 data_time: 0.0347 memory: 18108 grad_norm: 3.6691 loss: 3.7657 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1923 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.5734 2023/02/01 23:38:52 - mmengine - INFO - Epoch(train) [143][ 220/1879] lr: 5.2040e-02 eta: 1 day, 6:20:12 time: 0.5212 data_time: 0.0410 memory: 18108 grad_norm: 3.6113 loss: 3.9487 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3677 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.5811 2023/02/01 23:39:02 - mmengine - INFO - Epoch(train) [143][ 240/1879] lr: 5.2032e-02 eta: 1 day, 6:20:02 time: 0.4782 data_time: 0.0329 memory: 18108 grad_norm: 3.6780 loss: 4.1185 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5165 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.6020 2023/02/01 23:39:12 - mmengine - INFO - Epoch(train) [143][ 260/1879] lr: 5.2025e-02 eta: 1 day, 6:19:51 time: 0.4853 data_time: 0.0352 memory: 18108 grad_norm: 3.6636 loss: 3.9402 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3556 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.5846 2023/02/01 23:39:21 - mmengine - INFO - Epoch(train) [143][ 280/1879] lr: 5.2017e-02 eta: 1 day, 6:19:41 time: 0.4944 data_time: 0.0358 memory: 18108 grad_norm: 3.5420 loss: 3.8047 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2115 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.5932 2023/02/01 23:39:32 - mmengine - INFO - Epoch(train) [143][ 300/1879] lr: 5.2010e-02 eta: 1 day, 6:19:30 time: 0.5134 data_time: 0.0356 memory: 18108 grad_norm: 3.6494 loss: 3.9020 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2775 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6245 2023/02/01 23:39:41 - mmengine - INFO - Epoch(train) [143][ 320/1879] lr: 5.2002e-02 eta: 1 day, 6:19:20 time: 0.4825 data_time: 0.0353 memory: 18108 grad_norm: 3.6346 loss: 3.8964 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2019 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.6945 2023/02/01 23:39:51 - mmengine - INFO - Epoch(train) [143][ 340/1879] lr: 5.1995e-02 eta: 1 day, 6:19:09 time: 0.4985 data_time: 0.0374 memory: 18108 grad_norm: 3.5929 loss: 3.6594 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1157 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.5437 2023/02/01 23:40:01 - mmengine - INFO - Epoch(train) [143][ 360/1879] lr: 5.1987e-02 eta: 1 day, 6:18:59 time: 0.5024 data_time: 0.0342 memory: 18108 grad_norm: 3.6577 loss: 3.8423 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2681 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.5741 2023/02/01 23:40:12 - mmengine - INFO - Epoch(train) [143][ 380/1879] lr: 5.1979e-02 eta: 1 day, 6:18:49 time: 0.5062 data_time: 0.0430 memory: 18108 grad_norm: 3.5829 loss: 3.8207 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1625 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.6582 2023/02/01 23:40:22 - mmengine - INFO - Epoch(train) [143][ 400/1879] lr: 5.1972e-02 eta: 1 day, 6:18:38 time: 0.4937 data_time: 0.0331 memory: 18108 grad_norm: 3.6446 loss: 3.8097 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2429 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.5668 2023/02/01 23:40:32 - mmengine - INFO - Epoch(train) [143][ 420/1879] lr: 5.1964e-02 eta: 1 day, 6:18:28 time: 0.5148 data_time: 0.0354 memory: 18108 grad_norm: 3.6693 loss: 3.5749 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.9479 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.6270 2023/02/01 23:40:42 - mmengine - INFO - Epoch(train) [143][ 440/1879] lr: 5.1957e-02 eta: 1 day, 6:18:18 time: 0.5012 data_time: 0.0319 memory: 18108 grad_norm: 3.6266 loss: 4.3292 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.7202 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.6090 2023/02/01 23:40:52 - mmengine - INFO - Epoch(train) [143][ 460/1879] lr: 5.1949e-02 eta: 1 day, 6:18:08 time: 0.5074 data_time: 0.0398 memory: 18108 grad_norm: 3.6941 loss: 3.8799 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.2677 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.6122 2023/02/01 23:41:02 - mmengine - INFO - Epoch(train) [143][ 480/1879] lr: 5.1942e-02 eta: 1 day, 6:17:57 time: 0.5019 data_time: 0.0297 memory: 18108 grad_norm: 3.6320 loss: 3.9619 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.3240 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6379 2023/02/01 23:41:12 - mmengine - INFO - Epoch(train) [143][ 500/1879] lr: 5.1934e-02 eta: 1 day, 6:17:47 time: 0.5147 data_time: 0.0442 memory: 18108 grad_norm: 3.6841 loss: 4.1195 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4752 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.6443 2023/02/01 23:41:22 - mmengine - INFO - Epoch(train) [143][ 520/1879] lr: 5.1927e-02 eta: 1 day, 6:17:37 time: 0.5016 data_time: 0.0324 memory: 18108 grad_norm: 3.6786 loss: 3.8510 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1528 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.6982 2023/02/01 23:41:32 - mmengine - INFO - Epoch(train) [143][ 540/1879] lr: 5.1919e-02 eta: 1 day, 6:17:26 time: 0.5019 data_time: 0.0370 memory: 18108 grad_norm: 3.6194 loss: 3.6547 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.0755 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.5792 2023/02/01 23:41:43 - mmengine - INFO - Epoch(train) [143][ 560/1879] lr: 5.1912e-02 eta: 1 day, 6:17:16 time: 0.5037 data_time: 0.0332 memory: 18108 grad_norm: 3.6473 loss: 3.8685 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.2468 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6217 2023/02/01 23:41:53 - mmengine - INFO - Epoch(train) [143][ 580/1879] lr: 5.1904e-02 eta: 1 day, 6:17:06 time: 0.5038 data_time: 0.0315 memory: 18108 grad_norm: 3.5459 loss: 3.6512 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0844 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.5669 2023/02/01 23:42:03 - mmengine - INFO - Epoch(train) [143][ 600/1879] lr: 5.1897e-02 eta: 1 day, 6:16:55 time: 0.5030 data_time: 0.0343 memory: 18108 grad_norm: 3.5859 loss: 4.0033 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3431 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.6602 2023/02/01 23:42:13 - mmengine - INFO - Epoch(train) [143][ 620/1879] lr: 5.1889e-02 eta: 1 day, 6:16:45 time: 0.5194 data_time: 0.0329 memory: 18108 grad_norm: 3.6515 loss: 3.9909 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3291 top1_acc_1: 0.4824 top5_acc_1: 0.7529 loss_cls_1: 1.6618 2023/02/01 23:42:24 - mmengine - INFO - Epoch(train) [143][ 640/1879] lr: 5.1882e-02 eta: 1 day, 6:16:35 time: 0.5244 data_time: 0.0354 memory: 18108 grad_norm: 3.5850 loss: 3.8978 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2651 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.6327 2023/02/01 23:42:34 - mmengine - INFO - Epoch(train) [143][ 660/1879] lr: 5.1874e-02 eta: 1 day, 6:16:25 time: 0.5012 data_time: 0.0346 memory: 18108 grad_norm: 3.6050 loss: 4.0088 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4453 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.5636 2023/02/01 23:42:44 - mmengine - INFO - Epoch(train) [143][ 680/1879] lr: 5.1867e-02 eta: 1 day, 6:16:15 time: 0.5121 data_time: 0.0340 memory: 18108 grad_norm: 3.6435 loss: 4.1123 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.4558 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6566 2023/02/01 23:42:54 - mmengine - INFO - Epoch(train) [143][ 700/1879] lr: 5.1859e-02 eta: 1 day, 6:16:05 time: 0.5204 data_time: 0.0383 memory: 18108 grad_norm: 3.7075 loss: 3.8046 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.1627 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.6419 2023/02/01 23:43:05 - mmengine - INFO - Epoch(train) [143][ 720/1879] lr: 5.1852e-02 eta: 1 day, 6:15:55 time: 0.5049 data_time: 0.0352 memory: 18108 grad_norm: 3.6393 loss: 3.7838 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1337 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6501 2023/02/01 23:43:15 - mmengine - INFO - Epoch(train) [143][ 740/1879] lr: 5.1844e-02 eta: 1 day, 6:15:44 time: 0.5016 data_time: 0.0322 memory: 18108 grad_norm: 3.7309 loss: 3.9145 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1634 top1_acc_1: 0.5647 top5_acc_1: 0.8706 loss_cls_1: 1.7511 2023/02/01 23:43:25 - mmengine - INFO - Epoch(train) [143][ 760/1879] lr: 5.1836e-02 eta: 1 day, 6:15:34 time: 0.5175 data_time: 0.0370 memory: 18108 grad_norm: 3.6756 loss: 3.9437 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2938 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 1.6499 2023/02/01 23:43:35 - mmengine - INFO - Epoch(train) [143][ 780/1879] lr: 5.1829e-02 eta: 1 day, 6:15:24 time: 0.5169 data_time: 0.0400 memory: 18108 grad_norm: 3.6612 loss: 3.8812 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.2834 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.5978 2023/02/01 23:43:45 - mmengine - INFO - Epoch(train) [143][ 800/1879] lr: 5.1821e-02 eta: 1 day, 6:15:14 time: 0.5064 data_time: 0.0366 memory: 18108 grad_norm: 3.6687 loss: 3.8931 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2417 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.6513 2023/02/01 23:43:56 - mmengine - INFO - Epoch(train) [143][ 820/1879] lr: 5.1814e-02 eta: 1 day, 6:15:04 time: 0.5176 data_time: 0.0346 memory: 18108 grad_norm: 3.6800 loss: 4.0593 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.4241 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.6352 2023/02/01 23:44:06 - mmengine - INFO - Epoch(train) [143][ 840/1879] lr: 5.1806e-02 eta: 1 day, 6:14:54 time: 0.5194 data_time: 0.0455 memory: 18108 grad_norm: 3.6268 loss: 3.9482 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3278 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.6204 2023/02/01 23:44:17 - mmengine - INFO - Epoch(train) [143][ 860/1879] lr: 5.1799e-02 eta: 1 day, 6:14:44 time: 0.5230 data_time: 0.0338 memory: 18108 grad_norm: 3.5955 loss: 3.8911 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3073 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.5838 2023/02/01 23:44:27 - mmengine - INFO - Epoch(train) [143][ 880/1879] lr: 5.1791e-02 eta: 1 day, 6:14:34 time: 0.5179 data_time: 0.0345 memory: 18108 grad_norm: 3.6368 loss: 4.0071 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3021 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.7050 2023/02/01 23:44:38 - mmengine - INFO - Epoch(train) [143][ 900/1879] lr: 5.1784e-02 eta: 1 day, 6:14:24 time: 0.5284 data_time: 0.0398 memory: 18108 grad_norm: 3.6072 loss: 4.0633 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4039 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.6593 2023/02/01 23:44:48 - mmengine - INFO - Epoch(train) [143][ 920/1879] lr: 5.1776e-02 eta: 1 day, 6:14:14 time: 0.5252 data_time: 0.0356 memory: 18108 grad_norm: 3.5580 loss: 3.8222 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1681 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.6541 2023/02/01 23:44:58 - mmengine - INFO - Epoch(train) [143][ 940/1879] lr: 5.1769e-02 eta: 1 day, 6:14:03 time: 0.5121 data_time: 0.0336 memory: 18108 grad_norm: 3.6548 loss: 3.9954 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3936 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.6018 2023/02/01 23:45:09 - mmengine - INFO - Epoch(train) [143][ 960/1879] lr: 5.1761e-02 eta: 1 day, 6:13:53 time: 0.5236 data_time: 0.0364 memory: 18108 grad_norm: 3.7177 loss: 4.0674 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.5139 top1_acc_1: 0.5765 top5_acc_1: 0.8824 loss_cls_1: 1.5535 2023/02/01 23:45:19 - mmengine - INFO - Epoch(train) [143][ 980/1879] lr: 5.1754e-02 eta: 1 day, 6:13:43 time: 0.5107 data_time: 0.0392 memory: 18108 grad_norm: 3.6248 loss: 3.9045 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3034 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6011 2023/02/01 23:45:29 - mmengine - INFO - Epoch(train) [143][1000/1879] lr: 5.1746e-02 eta: 1 day, 6:13:33 time: 0.5154 data_time: 0.0347 memory: 18108 grad_norm: 3.6641 loss: 3.9423 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3524 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.5900 2023/02/01 23:45:40 - mmengine - INFO - Epoch(train) [143][1020/1879] lr: 5.1739e-02 eta: 1 day, 6:13:23 time: 0.5082 data_time: 0.0332 memory: 18108 grad_norm: 3.6789 loss: 4.1220 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.4897 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.6324 2023/02/01 23:45:50 - mmengine - INFO - Epoch(train) [143][1040/1879] lr: 5.1731e-02 eta: 1 day, 6:13:13 time: 0.5069 data_time: 0.0417 memory: 18108 grad_norm: 3.6737 loss: 4.0449 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3936 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.6512 2023/02/01 23:46:00 - mmengine - INFO - Epoch(train) [143][1060/1879] lr: 5.1724e-02 eta: 1 day, 6:13:02 time: 0.5093 data_time: 0.0342 memory: 18108 grad_norm: 3.6267 loss: 3.8349 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2149 top1_acc_1: 0.5294 top5_acc_1: 0.7647 loss_cls_1: 1.6200 2023/02/01 23:47:50 - mmengine - INFO - Epoch(train) [143][1080/1879] lr: 5.1716e-02 eta: 1 day, 6:14:11 time: 5.4799 data_time: 0.0341 memory: 18108 grad_norm: 3.6830 loss: 4.0468 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4538 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.5930 2023/02/01 23:48:00 - mmengine - INFO - Epoch(train) [143][1100/1879] lr: 5.1709e-02 eta: 1 day, 6:14:01 time: 0.5106 data_time: 0.0401 memory: 18108 grad_norm: 3.6127 loss: 3.9593 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.3793 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.5800 2023/02/01 23:48:10 - mmengine - INFO - Epoch(train) [143][1120/1879] lr: 5.1701e-02 eta: 1 day, 6:13:51 time: 0.4980 data_time: 0.0346 memory: 18108 grad_norm: 3.6040 loss: 3.9534 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3340 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.6194 2023/02/01 23:48:20 - mmengine - INFO - Epoch(train) [143][1140/1879] lr: 5.1693e-02 eta: 1 day, 6:13:40 time: 0.5003 data_time: 0.0339 memory: 18108 grad_norm: 3.5985 loss: 4.1858 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.5498 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.6360 2023/02/01 23:48:30 - mmengine - INFO - Epoch(train) [143][1160/1879] lr: 5.1686e-02 eta: 1 day, 6:13:30 time: 0.5046 data_time: 0.0351 memory: 18108 grad_norm: 3.5410 loss: 3.9441 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3764 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.5677 2023/02/01 23:48:40 - mmengine - INFO - Epoch(train) [143][1180/1879] lr: 5.1678e-02 eta: 1 day, 6:13:20 time: 0.5108 data_time: 0.0431 memory: 18108 grad_norm: 3.7117 loss: 3.9821 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.3374 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.6446 2023/02/01 23:48:41 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 23:48:50 - mmengine - INFO - Epoch(train) [143][1200/1879] lr: 5.1671e-02 eta: 1 day, 6:13:09 time: 0.5085 data_time: 0.0358 memory: 18108 grad_norm: 3.6522 loss: 3.8707 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2440 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.6266 2023/02/01 23:49:00 - mmengine - INFO - Epoch(train) [143][1220/1879] lr: 5.1663e-02 eta: 1 day, 6:12:59 time: 0.5035 data_time: 0.0304 memory: 18108 grad_norm: 3.6567 loss: 4.0079 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3689 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6391 2023/02/01 23:49:11 - mmengine - INFO - Epoch(train) [143][1240/1879] lr: 5.1656e-02 eta: 1 day, 6:12:49 time: 0.5050 data_time: 0.0433 memory: 18108 grad_norm: 3.6804 loss: 3.7867 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1207 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.6660 2023/02/01 23:49:21 - mmengine - INFO - Epoch(train) [143][1260/1879] lr: 5.1648e-02 eta: 1 day, 6:12:39 time: 0.5096 data_time: 0.0312 memory: 18108 grad_norm: 3.6248 loss: 3.9651 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2976 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.6675 2023/02/01 23:49:31 - mmengine - INFO - Epoch(train) [143][1280/1879] lr: 5.1641e-02 eta: 1 day, 6:12:28 time: 0.5061 data_time: 0.0364 memory: 18108 grad_norm: 3.6741 loss: 4.0767 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3685 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.7081 2023/02/01 23:49:41 - mmengine - INFO - Epoch(train) [143][1300/1879] lr: 5.1633e-02 eta: 1 day, 6:12:18 time: 0.5027 data_time: 0.0306 memory: 18108 grad_norm: 3.6383 loss: 3.8416 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1889 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6527 2023/02/01 23:49:51 - mmengine - INFO - Epoch(train) [143][1320/1879] lr: 5.1626e-02 eta: 1 day, 6:12:08 time: 0.5146 data_time: 0.0376 memory: 18108 grad_norm: 3.6735 loss: 3.9826 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.3169 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.6657 2023/02/01 23:50:01 - mmengine - INFO - Epoch(train) [143][1340/1879] lr: 5.1618e-02 eta: 1 day, 6:11:57 time: 0.4999 data_time: 0.0320 memory: 18108 grad_norm: 3.6181 loss: 4.0040 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2730 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.7311 2023/02/01 23:50:11 - mmengine - INFO - Epoch(train) [143][1360/1879] lr: 5.1611e-02 eta: 1 day, 6:11:47 time: 0.5034 data_time: 0.0366 memory: 18108 grad_norm: 3.5528 loss: 3.8461 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2353 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 1.6108 2023/02/01 23:50:22 - mmengine - INFO - Epoch(train) [143][1380/1879] lr: 5.1603e-02 eta: 1 day, 6:11:37 time: 0.5173 data_time: 0.0376 memory: 18108 grad_norm: 3.5736 loss: 4.0325 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3791 top1_acc_1: 0.5294 top5_acc_1: 0.8588 loss_cls_1: 1.6534 2023/02/01 23:50:32 - mmengine - INFO - Epoch(train) [143][1400/1879] lr: 5.1596e-02 eta: 1 day, 6:11:27 time: 0.5101 data_time: 0.0366 memory: 18108 grad_norm: 3.5833 loss: 3.7260 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.1073 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.6187 2023/02/01 23:50:42 - mmengine - INFO - Epoch(train) [143][1420/1879] lr: 5.1588e-02 eta: 1 day, 6:11:17 time: 0.5144 data_time: 0.0320 memory: 18108 grad_norm: 3.6316 loss: 3.9269 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2998 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.6271 2023/02/01 23:50:53 - mmengine - INFO - Epoch(train) [143][1440/1879] lr: 5.1581e-02 eta: 1 day, 6:11:06 time: 0.5118 data_time: 0.0431 memory: 18108 grad_norm: 3.6194 loss: 3.6310 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9776 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.6534 2023/02/01 23:51:03 - mmengine - INFO - Epoch(train) [143][1460/1879] lr: 5.1573e-02 eta: 1 day, 6:10:56 time: 0.5020 data_time: 0.0275 memory: 18108 grad_norm: 3.6151 loss: 3.7943 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2230 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.5713 2023/02/01 23:51:12 - mmengine - INFO - Epoch(train) [143][1480/1879] lr: 5.1566e-02 eta: 1 day, 6:10:45 time: 0.4842 data_time: 0.0335 memory: 18108 grad_norm: 3.6094 loss: 4.0101 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.3083 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.7018 2023/02/01 23:51:22 - mmengine - INFO - Epoch(train) [143][1500/1879] lr: 5.1558e-02 eta: 1 day, 6:10:34 time: 0.4663 data_time: 0.0323 memory: 18108 grad_norm: 3.6330 loss: 3.9850 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.2890 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.6960 2023/02/01 23:51:32 - mmengine - INFO - Epoch(train) [143][1520/1879] lr: 5.1550e-02 eta: 1 day, 6:10:25 time: 0.5387 data_time: 0.0412 memory: 18108 grad_norm: 3.6401 loss: 4.0626 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.4288 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.6337 2023/02/01 23:51:42 - mmengine - INFO - Epoch(train) [143][1540/1879] lr: 5.1543e-02 eta: 1 day, 6:10:14 time: 0.4769 data_time: 0.0312 memory: 18108 grad_norm: 3.6168 loss: 3.9458 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3016 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.6442 2023/02/01 23:51:52 - mmengine - INFO - Epoch(train) [143][1560/1879] lr: 5.1535e-02 eta: 1 day, 6:10:04 time: 0.4970 data_time: 0.0323 memory: 18108 grad_norm: 3.6433 loss: 3.7455 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0826 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.6630 2023/02/01 23:52:02 - mmengine - INFO - Epoch(train) [143][1580/1879] lr: 5.1528e-02 eta: 1 day, 6:09:53 time: 0.4922 data_time: 0.0313 memory: 18108 grad_norm: 3.7240 loss: 4.2977 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5647 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7330 2023/02/01 23:52:12 - mmengine - INFO - Epoch(train) [143][1600/1879] lr: 5.1520e-02 eta: 1 day, 6:09:43 time: 0.5108 data_time: 0.0329 memory: 18108 grad_norm: 3.7064 loss: 3.8205 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2079 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.6126 2023/02/01 23:52:22 - mmengine - INFO - Epoch(train) [143][1620/1879] lr: 5.1513e-02 eta: 1 day, 6:09:32 time: 0.4894 data_time: 0.0382 memory: 18108 grad_norm: 3.5610 loss: 3.9117 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2565 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.6552 2023/02/01 23:52:32 - mmengine - INFO - Epoch(train) [143][1640/1879] lr: 5.1505e-02 eta: 1 day, 6:09:22 time: 0.4911 data_time: 0.0344 memory: 18108 grad_norm: 3.5878 loss: 3.7566 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.1667 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.5899 2023/02/01 23:52:41 - mmengine - INFO - Epoch(train) [143][1660/1879] lr: 5.1498e-02 eta: 1 day, 6:09:11 time: 0.4848 data_time: 0.0342 memory: 18108 grad_norm: 3.6779 loss: 3.9295 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3681 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.5613 2023/02/01 23:52:51 - mmengine - INFO - Epoch(train) [143][1680/1879] lr: 5.1490e-02 eta: 1 day, 6:09:00 time: 0.4839 data_time: 0.0353 memory: 18108 grad_norm: 3.5664 loss: 3.9964 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.2764 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.7201 2023/02/01 23:53:01 - mmengine - INFO - Epoch(train) [143][1700/1879] lr: 5.1483e-02 eta: 1 day, 6:08:50 time: 0.4879 data_time: 0.0471 memory: 18108 grad_norm: 3.6881 loss: 3.9328 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.4025 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.5303 2023/02/01 23:53:11 - mmengine - INFO - Epoch(train) [143][1720/1879] lr: 5.1475e-02 eta: 1 day, 6:08:39 time: 0.4986 data_time: 0.0364 memory: 18108 grad_norm: 3.6430 loss: 4.1087 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4292 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.6796 2023/02/01 23:53:20 - mmengine - INFO - Epoch(train) [143][1740/1879] lr: 5.1468e-02 eta: 1 day, 6:08:29 time: 0.4721 data_time: 0.0354 memory: 18108 grad_norm: 3.6297 loss: 3.8466 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1870 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6596 2023/02/01 23:53:30 - mmengine - INFO - Epoch(train) [143][1760/1879] lr: 5.1460e-02 eta: 1 day, 6:08:18 time: 0.4848 data_time: 0.0371 memory: 18108 grad_norm: 3.6393 loss: 3.7741 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1730 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6011 2023/02/01 23:53:40 - mmengine - INFO - Epoch(train) [143][1780/1879] lr: 5.1453e-02 eta: 1 day, 6:08:08 time: 0.5055 data_time: 0.0442 memory: 18108 grad_norm: 3.5844 loss: 4.0038 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2958 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.7080 2023/02/01 23:53:50 - mmengine - INFO - Epoch(train) [143][1800/1879] lr: 5.1445e-02 eta: 1 day, 6:07:57 time: 0.4891 data_time: 0.0354 memory: 18108 grad_norm: 3.5837 loss: 3.8734 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.2499 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.6235 2023/02/01 23:54:00 - mmengine - INFO - Epoch(train) [143][1820/1879] lr: 5.1438e-02 eta: 1 day, 6:07:47 time: 0.4882 data_time: 0.0351 memory: 18108 grad_norm: 3.6192 loss: 3.9209 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2837 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.6372 2023/02/01 23:54:09 - mmengine - INFO - Epoch(train) [143][1840/1879] lr: 5.1430e-02 eta: 1 day, 6:07:36 time: 0.4860 data_time: 0.0358 memory: 18108 grad_norm: 3.6022 loss: 3.7662 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.1470 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6193 2023/02/01 23:54:19 - mmengine - INFO - Epoch(train) [143][1860/1879] lr: 5.1422e-02 eta: 1 day, 6:07:25 time: 0.4911 data_time: 0.0357 memory: 18108 grad_norm: 3.6225 loss: 3.7479 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.0356 top1_acc_1: 0.5294 top5_acc_1: 0.8471 loss_cls_1: 1.7122 2023/02/01 23:54:28 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 23:54:28 - mmengine - INFO - Epoch(train) [143][1879/1879] lr: 5.1415e-02 eta: 1 day, 6:07:15 time: 0.4647 data_time: 0.0307 memory: 18108 grad_norm: 3.7425 loss: 4.0139 top1_acc_0: 0.4286 top5_acc_0: 0.8571 loss_cls_0: 2.4261 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.5877 2023/02/01 23:54:43 - mmengine - INFO - Epoch(train) [144][ 20/1879] lr: 5.1408e-02 eta: 1 day, 6:07:08 time: 0.7209 data_time: 0.2576 memory: 18108 grad_norm: 3.6053 loss: 3.7648 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2019 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.5629 2023/02/01 23:54:53 - mmengine - INFO - Epoch(train) [144][ 40/1879] lr: 5.1400e-02 eta: 1 day, 6:06:57 time: 0.4699 data_time: 0.0355 memory: 18108 grad_norm: 3.6554 loss: 3.8726 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3082 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.5645 2023/02/01 23:55:02 - mmengine - INFO - Epoch(train) [144][ 60/1879] lr: 5.1393e-02 eta: 1 day, 6:06:47 time: 0.4882 data_time: 0.0346 memory: 18108 grad_norm: 3.5771 loss: 3.8293 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2488 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.5805 2023/02/01 23:55:13 - mmengine - INFO - Epoch(train) [144][ 80/1879] lr: 5.1385e-02 eta: 1 day, 6:06:37 time: 0.5170 data_time: 0.0427 memory: 18108 grad_norm: 3.5722 loss: 3.9003 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.2780 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.6223 2023/02/01 23:55:22 - mmengine - INFO - Epoch(train) [144][ 100/1879] lr: 5.1378e-02 eta: 1 day, 6:06:26 time: 0.4819 data_time: 0.0351 memory: 18108 grad_norm: 3.7098 loss: 3.8320 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.2825 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.5495 2023/02/01 23:55:32 - mmengine - INFO - Epoch(train) [144][ 120/1879] lr: 5.1370e-02 eta: 1 day, 6:06:15 time: 0.4707 data_time: 0.0354 memory: 18108 grad_norm: 3.5762 loss: 3.6856 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.0573 top1_acc_1: 0.5529 top5_acc_1: 0.8824 loss_cls_1: 1.6283 2023/02/01 23:55:41 - mmengine - INFO - Epoch(train) [144][ 140/1879] lr: 5.1363e-02 eta: 1 day, 6:06:04 time: 0.4789 data_time: 0.0340 memory: 18108 grad_norm: 3.6561 loss: 4.0039 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3473 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.6566 2023/02/01 23:55:52 - mmengine - INFO - Epoch(train) [144][ 160/1879] lr: 5.1355e-02 eta: 1 day, 6:05:54 time: 0.5203 data_time: 0.0712 memory: 18108 grad_norm: 3.7324 loss: 3.8953 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2890 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.6063 2023/02/01 23:56:04 - mmengine - INFO - Epoch(train) [144][ 180/1879] lr: 5.1348e-02 eta: 1 day, 6:05:46 time: 0.6159 data_time: 0.1824 memory: 18108 grad_norm: 3.5961 loss: 4.0645 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4241 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.6404 2023/02/01 23:56:14 - mmengine - INFO - Epoch(train) [144][ 200/1879] lr: 5.1340e-02 eta: 1 day, 6:05:36 time: 0.5070 data_time: 0.0610 memory: 18108 grad_norm: 3.6043 loss: 3.5002 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.9113 top1_acc_1: 0.5647 top5_acc_1: 0.8706 loss_cls_1: 1.5889 2023/02/01 23:56:24 - mmengine - INFO - Epoch(train) [144][ 220/1879] lr: 5.1333e-02 eta: 1 day, 6:05:25 time: 0.4998 data_time: 0.0338 memory: 18108 grad_norm: 3.6574 loss: 4.3761 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.6170 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.7591 2023/02/01 23:56:34 - mmengine - INFO - Epoch(train) [144][ 240/1879] lr: 5.1325e-02 eta: 1 day, 6:05:15 time: 0.4958 data_time: 0.0429 memory: 18108 grad_norm: 3.6167 loss: 4.0080 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4187 top1_acc_1: 0.6706 top5_acc_1: 0.7647 loss_cls_1: 1.5893 2023/02/01 23:56:44 - mmengine - INFO - Epoch(train) [144][ 260/1879] lr: 5.1317e-02 eta: 1 day, 6:05:04 time: 0.4753 data_time: 0.0365 memory: 18108 grad_norm: 3.7015 loss: 3.7735 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.2185 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.5551 2023/02/01 23:56:53 - mmengine - INFO - Epoch(train) [144][ 280/1879] lr: 5.1310e-02 eta: 1 day, 6:04:53 time: 0.4806 data_time: 0.0376 memory: 18108 grad_norm: 3.5466 loss: 3.7845 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1912 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.5932 2023/02/01 23:57:03 - mmengine - INFO - Epoch(train) [144][ 300/1879] lr: 5.1302e-02 eta: 1 day, 6:04:43 time: 0.4864 data_time: 0.0361 memory: 18108 grad_norm: 3.6986 loss: 4.0250 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4492 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.5758 2023/02/01 23:57:05 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/01 23:57:13 - mmengine - INFO - Epoch(train) [144][ 320/1879] lr: 5.1295e-02 eta: 1 day, 6:04:32 time: 0.4932 data_time: 0.0409 memory: 18108 grad_norm: 3.6250 loss: 3.9450 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3189 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.6261 2023/02/01 23:57:23 - mmengine - INFO - Epoch(train) [144][ 340/1879] lr: 5.1287e-02 eta: 1 day, 6:04:21 time: 0.4745 data_time: 0.0349 memory: 18108 grad_norm: 3.5206 loss: 3.5687 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9626 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.6062 2023/02/01 23:57:32 - mmengine - INFO - Epoch(train) [144][ 360/1879] lr: 5.1280e-02 eta: 1 day, 6:04:11 time: 0.4896 data_time: 0.0346 memory: 18108 grad_norm: 3.5749 loss: 3.7770 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.2479 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.5292 2023/02/01 23:57:42 - mmengine - INFO - Epoch(train) [144][ 380/1879] lr: 5.1272e-02 eta: 1 day, 6:04:00 time: 0.4921 data_time: 0.0402 memory: 18108 grad_norm: 3.6545 loss: 3.8669 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2301 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.6368 2023/02/01 23:57:52 - mmengine - INFO - Epoch(train) [144][ 400/1879] lr: 5.1265e-02 eta: 1 day, 6:03:50 time: 0.4934 data_time: 0.0361 memory: 18108 grad_norm: 3.6067 loss: 3.8482 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2839 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.5643 2023/02/01 23:58:02 - mmengine - INFO - Epoch(train) [144][ 420/1879] lr: 5.1257e-02 eta: 1 day, 6:03:39 time: 0.4785 data_time: 0.0343 memory: 18108 grad_norm: 3.5928 loss: 3.8276 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1946 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.6330 2023/02/01 23:58:11 - mmengine - INFO - Epoch(train) [144][ 440/1879] lr: 5.1250e-02 eta: 1 day, 6:03:28 time: 0.4779 data_time: 0.0361 memory: 18108 grad_norm: 3.6044 loss: 4.0289 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3283 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7006 2023/02/01 23:58:21 - mmengine - INFO - Epoch(train) [144][ 460/1879] lr: 5.1242e-02 eta: 1 day, 6:03:18 time: 0.4910 data_time: 0.0363 memory: 18108 grad_norm: 3.5563 loss: 3.9625 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2777 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.6848 2023/02/01 23:58:31 - mmengine - INFO - Epoch(train) [144][ 480/1879] lr: 5.1235e-02 eta: 1 day, 6:03:07 time: 0.4859 data_time: 0.0348 memory: 18108 grad_norm: 3.6745 loss: 3.7083 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1413 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.5669 2023/02/01 23:58:41 - mmengine - INFO - Epoch(train) [144][ 500/1879] lr: 5.1227e-02 eta: 1 day, 6:02:57 time: 0.4816 data_time: 0.0350 memory: 18108 grad_norm: 3.6869 loss: 3.9080 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.2586 top1_acc_1: 0.6118 top5_acc_1: 0.7529 loss_cls_1: 1.6494 2023/02/01 23:58:51 - mmengine - INFO - Epoch(train) [144][ 520/1879] lr: 5.1220e-02 eta: 1 day, 6:02:46 time: 0.5016 data_time: 0.0351 memory: 18108 grad_norm: 3.6776 loss: 3.8520 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2268 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.6252 2023/02/01 23:59:01 - mmengine - INFO - Epoch(train) [144][ 540/1879] lr: 5.1212e-02 eta: 1 day, 6:02:36 time: 0.5015 data_time: 0.0343 memory: 18108 grad_norm: 3.6967 loss: 4.0665 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4201 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6464 2023/02/01 23:59:10 - mmengine - INFO - Epoch(train) [144][ 560/1879] lr: 5.1205e-02 eta: 1 day, 6:02:25 time: 0.4852 data_time: 0.0358 memory: 18108 grad_norm: 3.5834 loss: 3.8949 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2405 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.6543 2023/02/01 23:59:20 - mmengine - INFO - Epoch(train) [144][ 580/1879] lr: 5.1197e-02 eta: 1 day, 6:02:15 time: 0.4952 data_time: 0.0356 memory: 18108 grad_norm: 3.7338 loss: 3.9500 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.2904 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.6595 2023/02/01 23:59:30 - mmengine - INFO - Epoch(train) [144][ 600/1879] lr: 5.1189e-02 eta: 1 day, 6:02:04 time: 0.5013 data_time: 0.0429 memory: 18108 grad_norm: 3.7120 loss: 3.9692 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3232 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.6459 2023/02/01 23:59:40 - mmengine - INFO - Epoch(train) [144][ 620/1879] lr: 5.1182e-02 eta: 1 day, 6:01:54 time: 0.4967 data_time: 0.0342 memory: 18108 grad_norm: 3.5578 loss: 3.9114 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2823 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.6292 2023/02/01 23:59:50 - mmengine - INFO - Epoch(train) [144][ 640/1879] lr: 5.1174e-02 eta: 1 day, 6:01:43 time: 0.4893 data_time: 0.0336 memory: 18108 grad_norm: 3.6902 loss: 4.0546 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4698 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5848 2023/02/02 00:00:00 - mmengine - INFO - Epoch(train) [144][ 660/1879] lr: 5.1167e-02 eta: 1 day, 6:01:33 time: 0.4989 data_time: 0.0362 memory: 18108 grad_norm: 3.6193 loss: 3.7468 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.1883 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5585 2023/02/02 00:00:10 - mmengine - INFO - Epoch(train) [144][ 680/1879] lr: 5.1159e-02 eta: 1 day, 6:01:22 time: 0.4875 data_time: 0.0340 memory: 18108 grad_norm: 3.6191 loss: 3.7795 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2134 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.5661 2023/02/02 00:00:19 - mmengine - INFO - Epoch(train) [144][ 700/1879] lr: 5.1152e-02 eta: 1 day, 6:01:12 time: 0.4705 data_time: 0.0368 memory: 18108 grad_norm: 3.6889 loss: 4.0941 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4895 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.6045 2023/02/02 00:00:28 - mmengine - INFO - Epoch(train) [144][ 720/1879] lr: 5.1144e-02 eta: 1 day, 6:01:01 time: 0.4558 data_time: 0.0352 memory: 18108 grad_norm: 3.5898 loss: 3.8406 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2004 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.6401 2023/02/02 00:00:38 - mmengine - INFO - Epoch(train) [144][ 740/1879] lr: 5.1137e-02 eta: 1 day, 6:00:50 time: 0.4680 data_time: 0.0334 memory: 18108 grad_norm: 3.6782 loss: 3.9220 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2563 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6656 2023/02/02 00:00:47 - mmengine - INFO - Epoch(train) [144][ 760/1879] lr: 5.1129e-02 eta: 1 day, 6:00:39 time: 0.4757 data_time: 0.0346 memory: 18108 grad_norm: 3.6572 loss: 3.6807 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0727 top1_acc_1: 0.5529 top5_acc_1: 0.8706 loss_cls_1: 1.6080 2023/02/02 00:00:57 - mmengine - INFO - Epoch(train) [144][ 780/1879] lr: 5.1122e-02 eta: 1 day, 6:00:28 time: 0.4669 data_time: 0.0374 memory: 18108 grad_norm: 3.6986 loss: 4.0326 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3738 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.6588 2023/02/02 00:01:06 - mmengine - INFO - Epoch(train) [144][ 800/1879] lr: 5.1114e-02 eta: 1 day, 6:00:17 time: 0.4659 data_time: 0.0398 memory: 18108 grad_norm: 3.6692 loss: 3.7872 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2634 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5239 2023/02/02 00:01:15 - mmengine - INFO - Epoch(train) [144][ 820/1879] lr: 5.1107e-02 eta: 1 day, 6:00:06 time: 0.4686 data_time: 0.0367 memory: 18108 grad_norm: 3.6786 loss: 3.9557 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.2810 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.6747 2023/02/02 00:01:25 - mmengine - INFO - Epoch(train) [144][ 840/1879] lr: 5.1099e-02 eta: 1 day, 5:59:56 time: 0.4823 data_time: 0.0371 memory: 18108 grad_norm: 3.7018 loss: 3.7100 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.0303 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.6796 2023/02/02 00:01:35 - mmengine - INFO - Epoch(train) [144][ 860/1879] lr: 5.1092e-02 eta: 1 day, 5:59:45 time: 0.4727 data_time: 0.0444 memory: 18108 grad_norm: 3.6460 loss: 4.0356 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.4985 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.5371 2023/02/02 00:01:44 - mmengine - INFO - Epoch(train) [144][ 880/1879] lr: 5.1084e-02 eta: 1 day, 5:59:34 time: 0.4687 data_time: 0.0379 memory: 18108 grad_norm: 3.5787 loss: 3.6304 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.0553 top1_acc_1: 0.6235 top5_acc_1: 0.8941 loss_cls_1: 1.5751 2023/02/02 00:01:53 - mmengine - INFO - Epoch(train) [144][ 900/1879] lr: 5.1077e-02 eta: 1 day, 5:59:23 time: 0.4651 data_time: 0.0371 memory: 18108 grad_norm: 3.5893 loss: 3.9031 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2061 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.6970 2023/02/02 00:02:03 - mmengine - INFO - Epoch(train) [144][ 920/1879] lr: 5.1069e-02 eta: 1 day, 5:59:12 time: 0.4688 data_time: 0.0367 memory: 18108 grad_norm: 3.6603 loss: 3.9726 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.3552 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.6173 2023/02/02 00:02:12 - mmengine - INFO - Epoch(train) [144][ 940/1879] lr: 5.1061e-02 eta: 1 day, 5:59:01 time: 0.4760 data_time: 0.0440 memory: 18108 grad_norm: 3.6745 loss: 3.9078 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3392 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.5686 2023/02/02 00:02:22 - mmengine - INFO - Epoch(train) [144][ 960/1879] lr: 5.1054e-02 eta: 1 day, 5:58:51 time: 0.4715 data_time: 0.0362 memory: 18108 grad_norm: 3.6349 loss: 4.1492 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.5440 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.6051 2023/02/02 00:02:31 - mmengine - INFO - Epoch(train) [144][ 980/1879] lr: 5.1046e-02 eta: 1 day, 5:58:39 time: 0.4571 data_time: 0.0379 memory: 18108 grad_norm: 3.6242 loss: 4.1277 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.4710 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.6568 2023/02/02 00:02:40 - mmengine - INFO - Epoch(train) [144][1000/1879] lr: 5.1039e-02 eta: 1 day, 5:58:29 time: 0.4637 data_time: 0.0361 memory: 18108 grad_norm: 3.6577 loss: 3.9506 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2561 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.6945 2023/02/02 00:02:50 - mmengine - INFO - Epoch(train) [144][1020/1879] lr: 5.1031e-02 eta: 1 day, 5:58:18 time: 0.4845 data_time: 0.0435 memory: 18108 grad_norm: 3.6503 loss: 3.9383 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2499 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.6883 2023/02/02 00:02:59 - mmengine - INFO - Epoch(train) [144][1040/1879] lr: 5.1024e-02 eta: 1 day, 5:58:07 time: 0.4691 data_time: 0.0363 memory: 18108 grad_norm: 3.6906 loss: 3.8854 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3254 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.5601 2023/02/02 00:03:16 - mmengine - INFO - Epoch(train) [144][1060/1879] lr: 5.1016e-02 eta: 1 day, 5:58:02 time: 0.8155 data_time: 0.2787 memory: 18108 grad_norm: 3.7015 loss: 4.0067 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3488 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.6579 2023/02/02 00:03:38 - mmengine - INFO - Epoch(train) [144][1080/1879] lr: 5.1009e-02 eta: 1 day, 5:58:01 time: 1.1323 data_time: 0.5207 memory: 18108 grad_norm: 3.6298 loss: 3.8321 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2202 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6119 2023/02/02 00:03:48 - mmengine - INFO - Epoch(train) [144][1100/1879] lr: 5.1001e-02 eta: 1 day, 5:57:50 time: 0.4822 data_time: 0.0450 memory: 18108 grad_norm: 3.6412 loss: 4.0352 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.4028 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.6324 2023/02/02 00:03:57 - mmengine - INFO - Epoch(train) [144][1120/1879] lr: 5.0994e-02 eta: 1 day, 5:57:40 time: 0.4686 data_time: 0.0349 memory: 18108 grad_norm: 3.6411 loss: 4.0074 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2993 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.7081 2023/02/02 00:04:07 - mmengine - INFO - Epoch(train) [144][1140/1879] lr: 5.0986e-02 eta: 1 day, 5:57:29 time: 0.4720 data_time: 0.0366 memory: 18108 grad_norm: 3.6912 loss: 4.0416 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4044 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.6372 2023/02/02 00:04:16 - mmengine - INFO - Epoch(train) [144][1160/1879] lr: 5.0979e-02 eta: 1 day, 5:57:18 time: 0.4592 data_time: 0.0351 memory: 18108 grad_norm: 3.6309 loss: 3.7127 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0677 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.6450 2023/02/02 00:04:25 - mmengine - INFO - Epoch(train) [144][1180/1879] lr: 5.0971e-02 eta: 1 day, 5:57:07 time: 0.4786 data_time: 0.0361 memory: 18108 grad_norm: 3.6583 loss: 3.8274 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2278 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.5996 2023/02/02 00:04:35 - mmengine - INFO - Epoch(train) [144][1200/1879] lr: 5.0964e-02 eta: 1 day, 5:56:56 time: 0.4761 data_time: 0.0343 memory: 18108 grad_norm: 3.6899 loss: 3.8651 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.2402 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.6249 2023/02/02 00:04:45 - mmengine - INFO - Epoch(train) [144][1220/1879] lr: 5.0956e-02 eta: 1 day, 5:56:46 time: 0.4865 data_time: 0.0486 memory: 18108 grad_norm: 3.7385 loss: 3.7797 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1595 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.6202 2023/02/02 00:05:05 - mmengine - INFO - Epoch(train) [144][1240/1879] lr: 5.0949e-02 eta: 1 day, 5:56:43 time: 1.0165 data_time: 0.3989 memory: 18108 grad_norm: 3.5901 loss: 3.7300 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1164 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.6136 2023/02/02 00:05:27 - mmengine - INFO - Epoch(train) [144][1260/1879] lr: 5.0941e-02 eta: 1 day, 5:56:42 time: 1.0885 data_time: 0.3903 memory: 18108 grad_norm: 3.6908 loss: 4.0348 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.3734 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.6614 2023/02/02 00:05:41 - mmengine - INFO - Epoch(train) [144][1280/1879] lr: 5.0933e-02 eta: 1 day, 5:56:35 time: 0.7274 data_time: 0.2243 memory: 18108 grad_norm: 3.5503 loss: 3.8867 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2318 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.6549 2023/02/02 00:05:51 - mmengine - INFO - Epoch(train) [144][1300/1879] lr: 5.0926e-02 eta: 1 day, 5:56:25 time: 0.4813 data_time: 0.0326 memory: 18108 grad_norm: 3.6543 loss: 3.9600 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.2814 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.6786 2023/02/02 00:05:53 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 00:06:01 - mmengine - INFO - Epoch(train) [144][1320/1879] lr: 5.0918e-02 eta: 1 day, 5:56:14 time: 0.4780 data_time: 0.0486 memory: 18108 grad_norm: 3.6841 loss: 3.8706 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3075 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.5631 2023/02/02 00:06:10 - mmengine - INFO - Epoch(train) [144][1340/1879] lr: 5.0911e-02 eta: 1 day, 5:56:03 time: 0.4798 data_time: 0.0352 memory: 18108 grad_norm: 3.6420 loss: 3.8997 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3586 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.5411 2023/02/02 00:06:20 - mmengine - INFO - Epoch(train) [144][1360/1879] lr: 5.0903e-02 eta: 1 day, 5:55:53 time: 0.4939 data_time: 0.0352 memory: 18108 grad_norm: 3.5907 loss: 3.6854 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.0697 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.6157 2023/02/02 00:06:30 - mmengine - INFO - Epoch(train) [144][1380/1879] lr: 5.0896e-02 eta: 1 day, 5:55:42 time: 0.4748 data_time: 0.0339 memory: 18108 grad_norm: 3.6093 loss: 3.8654 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2189 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.6465 2023/02/02 00:06:39 - mmengine - INFO - Epoch(train) [144][1400/1879] lr: 5.0888e-02 eta: 1 day, 5:55:31 time: 0.4824 data_time: 0.0387 memory: 18108 grad_norm: 3.6381 loss: 3.9924 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5026 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.4898 2023/02/02 00:06:49 - mmengine - INFO - Epoch(train) [144][1420/1879] lr: 5.0881e-02 eta: 1 day, 5:55:21 time: 0.4772 data_time: 0.0332 memory: 18108 grad_norm: 3.6468 loss: 3.8492 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2127 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.6365 2023/02/02 00:06:59 - mmengine - INFO - Epoch(train) [144][1440/1879] lr: 5.0873e-02 eta: 1 day, 5:55:10 time: 0.5026 data_time: 0.0432 memory: 18108 grad_norm: 3.6972 loss: 4.1391 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.5154 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.6237 2023/02/02 00:07:08 - mmengine - INFO - Epoch(train) [144][1460/1879] lr: 5.0866e-02 eta: 1 day, 5:54:59 time: 0.4728 data_time: 0.0367 memory: 18108 grad_norm: 3.5911 loss: 3.9868 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3122 top1_acc_1: 0.6824 top5_acc_1: 0.9294 loss_cls_1: 1.6746 2023/02/02 00:07:18 - mmengine - INFO - Epoch(train) [144][1480/1879] lr: 5.0858e-02 eta: 1 day, 5:54:49 time: 0.4765 data_time: 0.0375 memory: 18108 grad_norm: 3.6444 loss: 3.6797 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0039 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.6758 2023/02/02 00:07:28 - mmengine - INFO - Epoch(train) [144][1500/1879] lr: 5.0851e-02 eta: 1 day, 5:54:38 time: 0.4857 data_time: 0.0353 memory: 18108 grad_norm: 3.6450 loss: 4.0070 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3461 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.6609 2023/02/02 00:07:38 - mmengine - INFO - Epoch(train) [144][1520/1879] lr: 5.0843e-02 eta: 1 day, 5:54:28 time: 0.4986 data_time: 0.0442 memory: 18108 grad_norm: 3.6192 loss: 3.8794 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3156 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.5638 2023/02/02 00:07:47 - mmengine - INFO - Epoch(train) [144][1540/1879] lr: 5.0836e-02 eta: 1 day, 5:54:17 time: 0.4710 data_time: 0.0344 memory: 18108 grad_norm: 3.6309 loss: 4.0093 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3835 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.6257 2023/02/02 00:07:57 - mmengine - INFO - Epoch(train) [144][1560/1879] lr: 5.0828e-02 eta: 1 day, 5:54:06 time: 0.4810 data_time: 0.0381 memory: 18108 grad_norm: 3.6898 loss: 4.0255 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3796 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.6459 2023/02/02 00:08:07 - mmengine - INFO - Epoch(train) [144][1580/1879] lr: 5.0820e-02 eta: 1 day, 5:53:56 time: 0.4852 data_time: 0.0351 memory: 18108 grad_norm: 3.6685 loss: 3.9327 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2725 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.6602 2023/02/02 00:08:17 - mmengine - INFO - Epoch(train) [144][1600/1879] lr: 5.0813e-02 eta: 1 day, 5:53:45 time: 0.5005 data_time: 0.0423 memory: 18108 grad_norm: 3.5870 loss: 3.9454 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3123 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6331 2023/02/02 00:08:26 - mmengine - INFO - Epoch(train) [144][1620/1879] lr: 5.0805e-02 eta: 1 day, 5:53:34 time: 0.4751 data_time: 0.0345 memory: 18108 grad_norm: 3.6000 loss: 3.8862 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2749 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.6113 2023/02/02 00:08:36 - mmengine - INFO - Epoch(train) [144][1640/1879] lr: 5.0798e-02 eta: 1 day, 5:53:24 time: 0.4858 data_time: 0.0348 memory: 18108 grad_norm: 3.6344 loss: 4.2475 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.5011 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7464 2023/02/02 00:08:46 - mmengine - INFO - Epoch(train) [144][1660/1879] lr: 5.0790e-02 eta: 1 day, 5:53:13 time: 0.4868 data_time: 0.0358 memory: 18108 grad_norm: 3.6990 loss: 3.9624 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.2638 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.6986 2023/02/02 00:08:55 - mmengine - INFO - Epoch(train) [144][1680/1879] lr: 5.0783e-02 eta: 1 day, 5:53:03 time: 0.4895 data_time: 0.0357 memory: 18108 grad_norm: 3.6315 loss: 3.7630 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.1154 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.6477 2023/02/02 00:09:05 - mmengine - INFO - Epoch(train) [144][1700/1879] lr: 5.0775e-02 eta: 1 day, 5:52:52 time: 0.4725 data_time: 0.0325 memory: 18108 grad_norm: 3.6641 loss: 4.0144 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3230 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.6915 2023/02/02 00:09:15 - mmengine - INFO - Epoch(train) [144][1720/1879] lr: 5.0768e-02 eta: 1 day, 5:52:42 time: 0.5056 data_time: 0.0385 memory: 18108 grad_norm: 3.6443 loss: 3.8420 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1694 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.6727 2023/02/02 00:09:25 - mmengine - INFO - Epoch(train) [144][1740/1879] lr: 5.0760e-02 eta: 1 day, 5:52:31 time: 0.4928 data_time: 0.0339 memory: 18108 grad_norm: 3.5821 loss: 3.8328 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1802 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.6526 2023/02/02 00:09:35 - mmengine - INFO - Epoch(train) [144][1760/1879] lr: 5.0753e-02 eta: 1 day, 5:52:21 time: 0.4938 data_time: 0.0409 memory: 18108 grad_norm: 3.6650 loss: 3.8917 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2739 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.6177 2023/02/02 00:09:44 - mmengine - INFO - Epoch(train) [144][1780/1879] lr: 5.0745e-02 eta: 1 day, 5:52:10 time: 0.4861 data_time: 0.0341 memory: 18108 grad_norm: 3.6560 loss: 4.0104 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3966 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.6138 2023/02/02 00:09:55 - mmengine - INFO - Epoch(train) [144][1800/1879] lr: 5.0738e-02 eta: 1 day, 5:52:00 time: 0.5051 data_time: 0.0364 memory: 18108 grad_norm: 3.7228 loss: 3.9829 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.2990 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.6838 2023/02/02 00:10:04 - mmengine - INFO - Epoch(train) [144][1820/1879] lr: 5.0730e-02 eta: 1 day, 5:51:49 time: 0.4794 data_time: 0.0349 memory: 18108 grad_norm: 3.6308 loss: 4.0113 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3676 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.6438 2023/02/02 00:10:14 - mmengine - INFO - Epoch(train) [144][1840/1879] lr: 5.0723e-02 eta: 1 day, 5:51:38 time: 0.4880 data_time: 0.0449 memory: 18108 grad_norm: 3.6119 loss: 4.2177 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.5048 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.7129 2023/02/02 00:10:24 - mmengine - INFO - Epoch(train) [144][1860/1879] lr: 5.0715e-02 eta: 1 day, 5:51:28 time: 0.5039 data_time: 0.0339 memory: 18108 grad_norm: 3.5913 loss: 3.9810 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 2.2965 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.6845 2023/02/02 00:10:33 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 00:10:33 - mmengine - INFO - Epoch(train) [144][1879/1879] lr: 5.0708e-02 eta: 1 day, 5:51:18 time: 0.4853 data_time: 0.0303 memory: 18108 grad_norm: 3.7242 loss: 3.9735 top1_acc_0: 0.5714 top5_acc_0: 0.5714 loss_cls_0: 2.4365 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.5370 2023/02/02 00:10:34 - mmengine - INFO - Saving checkpoint at 144 epochs 2023/02/02 00:10:45 - mmengine - INFO - Epoch(val) [144][ 20/155] eta: 0:01:01 time: 0.4586 data_time: 0.3463 memory: 1906 2023/02/02 00:10:54 - mmengine - INFO - Epoch(val) [144][ 40/155] eta: 0:00:51 time: 0.4437 data_time: 0.3317 memory: 1906 2023/02/02 00:11:02 - mmengine - INFO - Epoch(val) [144][ 60/155] eta: 0:00:41 time: 0.4186 data_time: 0.3077 memory: 1906 2023/02/02 00:11:11 - mmengine - INFO - Epoch(val) [144][ 80/155] eta: 0:00:33 time: 0.4683 data_time: 0.3568 memory: 1906 2023/02/02 00:11:20 - mmengine - INFO - Epoch(val) [144][100/155] eta: 0:00:24 time: 0.4466 data_time: 0.3358 memory: 1906 2023/02/02 00:11:29 - mmengine - INFO - Epoch(val) [144][120/155] eta: 0:00:15 time: 0.4530 data_time: 0.3423 memory: 1906 2023/02/02 00:11:38 - mmengine - INFO - Epoch(val) [144][140/155] eta: 0:00:06 time: 0.4387 data_time: 0.3283 memory: 1906 2023/02/02 00:11:46 - mmengine - INFO - Epoch(val) [144][155/155] acc/top1: 0.5081 acc/top5: 0.7561 acc/mean1: 0.5077 2023/02/02 00:12:00 - mmengine - INFO - Epoch(train) [145][ 20/1879] lr: 5.0700e-02 eta: 1 day, 5:51:11 time: 0.7351 data_time: 0.2655 memory: 18108 grad_norm: 3.5944 loss: 3.8343 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2402 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.5941 2023/02/02 00:12:10 - mmengine - INFO - Epoch(train) [145][ 40/1879] lr: 5.0693e-02 eta: 1 day, 5:51:01 time: 0.4771 data_time: 0.0328 memory: 18108 grad_norm: 3.5521 loss: 3.8875 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2981 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.5894 2023/02/02 00:12:20 - mmengine - INFO - Epoch(train) [145][ 60/1879] lr: 5.0685e-02 eta: 1 day, 5:50:50 time: 0.4950 data_time: 0.0474 memory: 18108 grad_norm: 3.5874 loss: 3.8721 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3120 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.5601 2023/02/02 00:12:31 - mmengine - INFO - Epoch(train) [145][ 80/1879] lr: 5.0678e-02 eta: 1 day, 5:50:40 time: 0.5283 data_time: 0.0294 memory: 18108 grad_norm: 3.5985 loss: 3.7239 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.0722 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.6516 2023/02/02 00:12:40 - mmengine - INFO - Epoch(train) [145][ 100/1879] lr: 5.0670e-02 eta: 1 day, 5:50:30 time: 0.4940 data_time: 0.0374 memory: 18108 grad_norm: 3.6277 loss: 4.0319 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4640 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.5678 2023/02/02 00:12:50 - mmengine - INFO - Epoch(train) [145][ 120/1879] lr: 5.0663e-02 eta: 1 day, 5:50:19 time: 0.4752 data_time: 0.0313 memory: 18108 grad_norm: 3.6033 loss: 3.9012 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3221 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.5791 2023/02/02 00:13:00 - mmengine - INFO - Epoch(train) [145][ 140/1879] lr: 5.0655e-02 eta: 1 day, 5:50:09 time: 0.5224 data_time: 0.0387 memory: 18108 grad_norm: 3.6925 loss: 3.7028 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0974 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.6055 2023/02/02 00:13:10 - mmengine - INFO - Epoch(train) [145][ 160/1879] lr: 5.0648e-02 eta: 1 day, 5:49:58 time: 0.4799 data_time: 0.0293 memory: 18108 grad_norm: 3.6742 loss: 4.0290 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3710 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.6580 2023/02/02 00:13:20 - mmengine - INFO - Epoch(train) [145][ 180/1879] lr: 5.0640e-02 eta: 1 day, 5:49:48 time: 0.4920 data_time: 0.0375 memory: 18108 grad_norm: 3.6298 loss: 3.8868 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2827 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.6041 2023/02/02 00:13:30 - mmengine - INFO - Epoch(train) [145][ 200/1879] lr: 5.0633e-02 eta: 1 day, 5:49:37 time: 0.4972 data_time: 0.0372 memory: 18108 grad_norm: 3.7349 loss: 3.6689 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1031 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.5658 2023/02/02 00:13:40 - mmengine - INFO - Epoch(train) [145][ 220/1879] lr: 5.0625e-02 eta: 1 day, 5:49:27 time: 0.5135 data_time: 0.0366 memory: 18108 grad_norm: 3.7486 loss: 4.0337 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.3829 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.6508 2023/02/02 00:13:50 - mmengine - INFO - Epoch(train) [145][ 240/1879] lr: 5.0618e-02 eta: 1 day, 5:49:16 time: 0.4751 data_time: 0.0306 memory: 18108 grad_norm: 3.6845 loss: 3.8004 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.1500 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6504 2023/02/02 00:14:00 - mmengine - INFO - Epoch(train) [145][ 260/1879] lr: 5.0610e-02 eta: 1 day, 5:49:06 time: 0.5129 data_time: 0.0423 memory: 18108 grad_norm: 3.6497 loss: 3.7889 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2182 top1_acc_1: 0.5529 top5_acc_1: 0.8824 loss_cls_1: 1.5707 2023/02/02 00:14:10 - mmengine - INFO - Epoch(train) [145][ 280/1879] lr: 5.0602e-02 eta: 1 day, 5:48:56 time: 0.4980 data_time: 0.0308 memory: 18108 grad_norm: 3.6434 loss: 3.8528 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2692 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.5836 2023/02/02 00:14:20 - mmengine - INFO - Epoch(train) [145][ 300/1879] lr: 5.0595e-02 eta: 1 day, 5:48:46 time: 0.5170 data_time: 0.0379 memory: 18108 grad_norm: 3.6577 loss: 3.6490 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1100 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.5389 2023/02/02 00:14:30 - mmengine - INFO - Epoch(train) [145][ 320/1879] lr: 5.0587e-02 eta: 1 day, 5:48:35 time: 0.4912 data_time: 0.0357 memory: 18108 grad_norm: 3.7270 loss: 3.7977 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2527 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.5450 2023/02/02 00:14:40 - mmengine - INFO - Epoch(train) [145][ 340/1879] lr: 5.0580e-02 eta: 1 day, 5:48:25 time: 0.4960 data_time: 0.0355 memory: 18108 grad_norm: 3.7129 loss: 3.9220 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3603 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.5617 2023/02/02 00:14:50 - mmengine - INFO - Epoch(train) [145][ 360/1879] lr: 5.0572e-02 eta: 1 day, 5:48:14 time: 0.5020 data_time: 0.0301 memory: 18108 grad_norm: 3.6775 loss: 3.8833 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.2194 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.6639 2023/02/02 00:15:00 - mmengine - INFO - Epoch(train) [145][ 380/1879] lr: 5.0565e-02 eta: 1 day, 5:48:04 time: 0.5076 data_time: 0.0437 memory: 18108 grad_norm: 3.6232 loss: 3.9058 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2937 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.6121 2023/02/02 00:15:10 - mmengine - INFO - Epoch(train) [145][ 400/1879] lr: 5.0557e-02 eta: 1 day, 5:47:54 time: 0.4944 data_time: 0.0305 memory: 18108 grad_norm: 3.6438 loss: 3.8869 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3295 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.5574 2023/02/02 00:15:20 - mmengine - INFO - Epoch(train) [145][ 420/1879] lr: 5.0550e-02 eta: 1 day, 5:47:43 time: 0.5075 data_time: 0.0359 memory: 18108 grad_norm: 3.6440 loss: 3.9907 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3615 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.6292 2023/02/02 00:15:22 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 00:15:30 - mmengine - INFO - Epoch(train) [145][ 440/1879] lr: 5.0542e-02 eta: 1 day, 5:47:33 time: 0.4889 data_time: 0.0291 memory: 18108 grad_norm: 3.6636 loss: 3.8343 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2710 top1_acc_1: 0.6706 top5_acc_1: 0.8000 loss_cls_1: 1.5633 2023/02/02 00:15:40 - mmengine - INFO - Epoch(train) [145][ 460/1879] lr: 5.0535e-02 eta: 1 day, 5:47:22 time: 0.4995 data_time: 0.0449 memory: 18108 grad_norm: 3.6884 loss: 3.8047 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2143 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.5904 2023/02/02 00:15:50 - mmengine - INFO - Epoch(train) [145][ 480/1879] lr: 5.0527e-02 eta: 1 day, 5:47:12 time: 0.5024 data_time: 0.0299 memory: 18108 grad_norm: 3.7181 loss: 4.0569 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.4003 top1_acc_1: 0.7059 top5_acc_1: 0.8235 loss_cls_1: 1.6566 2023/02/02 00:16:00 - mmengine - INFO - Epoch(train) [145][ 500/1879] lr: 5.0520e-02 eta: 1 day, 5:47:02 time: 0.5032 data_time: 0.0388 memory: 18108 grad_norm: 3.6314 loss: 3.8589 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2533 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.6056 2023/02/02 00:16:10 - mmengine - INFO - Epoch(train) [145][ 520/1879] lr: 5.0512e-02 eta: 1 day, 5:46:51 time: 0.4989 data_time: 0.0293 memory: 18108 grad_norm: 3.6877 loss: 3.6760 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0931 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.5828 2023/02/02 00:16:20 - mmengine - INFO - Epoch(train) [145][ 540/1879] lr: 5.0505e-02 eta: 1 day, 5:46:41 time: 0.5061 data_time: 0.0363 memory: 18108 grad_norm: 3.6619 loss: 3.8818 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.2263 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.6555 2023/02/02 00:16:31 - mmengine - INFO - Epoch(train) [145][ 560/1879] lr: 5.0497e-02 eta: 1 day, 5:46:31 time: 0.5038 data_time: 0.0280 memory: 18108 grad_norm: 3.6923 loss: 3.8342 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2687 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.5655 2023/02/02 00:16:41 - mmengine - INFO - Epoch(train) [145][ 580/1879] lr: 5.0490e-02 eta: 1 day, 5:46:20 time: 0.5026 data_time: 0.0437 memory: 18108 grad_norm: 3.6542 loss: 3.6162 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0206 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.5956 2023/02/02 00:16:50 - mmengine - INFO - Epoch(train) [145][ 600/1879] lr: 5.0482e-02 eta: 1 day, 5:46:10 time: 0.4927 data_time: 0.0291 memory: 18108 grad_norm: 3.7449 loss: 3.9533 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3684 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.5849 2023/02/02 00:17:01 - mmengine - INFO - Epoch(train) [145][ 620/1879] lr: 5.0474e-02 eta: 1 day, 5:46:00 time: 0.5153 data_time: 0.0371 memory: 18108 grad_norm: 3.6525 loss: 4.0141 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3359 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.6782 2023/02/02 00:17:11 - mmengine - INFO - Epoch(train) [145][ 640/1879] lr: 5.0467e-02 eta: 1 day, 5:45:49 time: 0.5028 data_time: 0.0364 memory: 18108 grad_norm: 3.6108 loss: 3.6816 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.1054 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.5762 2023/02/02 00:17:21 - mmengine - INFO - Epoch(train) [145][ 660/1879] lr: 5.0459e-02 eta: 1 day, 5:45:39 time: 0.4989 data_time: 0.0391 memory: 18108 grad_norm: 3.7236 loss: 3.7287 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0872 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.6415 2023/02/02 00:17:31 - mmengine - INFO - Epoch(train) [145][ 680/1879] lr: 5.0452e-02 eta: 1 day, 5:45:29 time: 0.5177 data_time: 0.0327 memory: 18108 grad_norm: 3.7383 loss: 3.8607 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2429 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.6178 2023/02/02 00:17:42 - mmengine - INFO - Epoch(train) [145][ 700/1879] lr: 5.0444e-02 eta: 1 day, 5:45:19 time: 0.5315 data_time: 0.0343 memory: 18108 grad_norm: 3.7576 loss: 4.0192 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4592 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.5600 2023/02/02 00:17:52 - mmengine - INFO - Epoch(train) [145][ 720/1879] lr: 5.0437e-02 eta: 1 day, 5:45:09 time: 0.5080 data_time: 0.0305 memory: 18108 grad_norm: 3.5742 loss: 3.6577 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0352 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.6226 2023/02/02 00:18:03 - mmengine - INFO - Epoch(train) [145][ 740/1879] lr: 5.0429e-02 eta: 1 day, 5:44:59 time: 0.5386 data_time: 0.0353 memory: 18108 grad_norm: 3.6591 loss: 3.9189 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3213 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.5976 2023/02/02 00:18:13 - mmengine - INFO - Epoch(train) [145][ 760/1879] lr: 5.0422e-02 eta: 1 day, 5:44:49 time: 0.5170 data_time: 0.0324 memory: 18108 grad_norm: 3.6264 loss: 3.6453 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0379 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.6074 2023/02/02 00:18:23 - mmengine - INFO - Epoch(train) [145][ 780/1879] lr: 5.0414e-02 eta: 1 day, 5:44:39 time: 0.5123 data_time: 0.0331 memory: 18108 grad_norm: 3.6542 loss: 3.7943 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1919 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.6025 2023/02/02 00:18:33 - mmengine - INFO - Epoch(train) [145][ 800/1879] lr: 5.0407e-02 eta: 1 day, 5:44:28 time: 0.4987 data_time: 0.0374 memory: 18108 grad_norm: 3.7861 loss: 3.9730 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4274 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.5456 2023/02/02 00:18:44 - mmengine - INFO - Epoch(train) [145][ 820/1879] lr: 5.0399e-02 eta: 1 day, 5:44:18 time: 0.5249 data_time: 0.0332 memory: 18108 grad_norm: 3.7070 loss: 3.9629 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3389 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6240 2023/02/02 00:18:54 - mmengine - INFO - Epoch(train) [145][ 840/1879] lr: 5.0392e-02 eta: 1 day, 5:44:08 time: 0.5134 data_time: 0.0363 memory: 18108 grad_norm: 3.7257 loss: 3.9073 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2082 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.6991 2023/02/02 00:19:05 - mmengine - INFO - Epoch(train) [145][ 860/1879] lr: 5.0384e-02 eta: 1 day, 5:43:58 time: 0.5116 data_time: 0.0387 memory: 18108 grad_norm: 3.7551 loss: 4.2647 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5616 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7032 2023/02/02 00:19:15 - mmengine - INFO - Epoch(train) [145][ 880/1879] lr: 5.0377e-02 eta: 1 day, 5:43:48 time: 0.5141 data_time: 0.0363 memory: 18108 grad_norm: 3.6773 loss: 4.0504 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3950 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.6555 2023/02/02 00:19:25 - mmengine - INFO - Epoch(train) [145][ 900/1879] lr: 5.0369e-02 eta: 1 day, 5:43:38 time: 0.5210 data_time: 0.0309 memory: 18108 grad_norm: 3.6695 loss: 4.1773 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.5070 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.6704 2023/02/02 00:19:35 - mmengine - INFO - Epoch(train) [145][ 920/1879] lr: 5.0361e-02 eta: 1 day, 5:43:27 time: 0.4996 data_time: 0.0383 memory: 18108 grad_norm: 3.6278 loss: 3.9116 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.2252 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6864 2023/02/02 00:19:46 - mmengine - INFO - Epoch(train) [145][ 940/1879] lr: 5.0354e-02 eta: 1 day, 5:43:17 time: 0.5167 data_time: 0.0386 memory: 18108 grad_norm: 3.7403 loss: 4.3549 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.6604 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.6945 2023/02/02 00:19:56 - mmengine - INFO - Epoch(train) [145][ 960/1879] lr: 5.0346e-02 eta: 1 day, 5:43:07 time: 0.5167 data_time: 0.0354 memory: 18108 grad_norm: 3.7081 loss: 4.0201 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 2.4017 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.6183 2023/02/02 00:20:06 - mmengine - INFO - Epoch(train) [145][ 980/1879] lr: 5.0339e-02 eta: 1 day, 5:42:57 time: 0.5063 data_time: 0.0350 memory: 18108 grad_norm: 3.6723 loss: 4.1148 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3725 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.7423 2023/02/02 00:20:16 - mmengine - INFO - Epoch(train) [145][1000/1879] lr: 5.0331e-02 eta: 1 day, 5:42:46 time: 0.4907 data_time: 0.0339 memory: 18108 grad_norm: 3.6719 loss: 4.1119 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4526 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.6594 2023/02/02 00:20:26 - mmengine - INFO - Epoch(train) [145][1020/1879] lr: 5.0324e-02 eta: 1 day, 5:42:36 time: 0.5021 data_time: 0.0346 memory: 18108 grad_norm: 3.7327 loss: 3.8753 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.1831 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.6922 2023/02/02 00:20:36 - mmengine - INFO - Epoch(train) [145][1040/1879] lr: 5.0316e-02 eta: 1 day, 5:42:26 time: 0.5002 data_time: 0.0341 memory: 18108 grad_norm: 3.6684 loss: 3.9905 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3803 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.6103 2023/02/02 00:20:46 - mmengine - INFO - Epoch(train) [145][1060/1879] lr: 5.0309e-02 eta: 1 day, 5:42:15 time: 0.5039 data_time: 0.0330 memory: 18108 grad_norm: 3.7028 loss: 4.0250 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 2.4272 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5978 2023/02/02 00:20:56 - mmengine - INFO - Epoch(train) [145][1080/1879] lr: 5.0301e-02 eta: 1 day, 5:42:05 time: 0.4989 data_time: 0.0348 memory: 18108 grad_norm: 3.7263 loss: 4.0911 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4329 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6583 2023/02/02 00:21:06 - mmengine - INFO - Epoch(train) [145][1100/1879] lr: 5.0294e-02 eta: 1 day, 5:41:55 time: 0.5073 data_time: 0.0355 memory: 18108 grad_norm: 3.6414 loss: 3.8128 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1350 top1_acc_1: 0.4941 top5_acc_1: 0.8118 loss_cls_1: 1.6777 2023/02/02 00:21:16 - mmengine - INFO - Epoch(train) [145][1120/1879] lr: 5.0286e-02 eta: 1 day, 5:41:44 time: 0.5013 data_time: 0.0333 memory: 18108 grad_norm: 3.7003 loss: 3.7311 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0420 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6891 2023/02/02 00:21:27 - mmengine - INFO - Epoch(train) [145][1140/1879] lr: 5.0279e-02 eta: 1 day, 5:41:34 time: 0.5158 data_time: 0.0346 memory: 18108 grad_norm: 3.6845 loss: 3.9772 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3147 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.6626 2023/02/02 00:21:37 - mmengine - INFO - Epoch(train) [145][1160/1879] lr: 5.0271e-02 eta: 1 day, 5:41:24 time: 0.4931 data_time: 0.0328 memory: 18108 grad_norm: 3.6798 loss: 3.9325 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3065 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.6260 2023/02/02 00:21:47 - mmengine - INFO - Epoch(train) [145][1180/1879] lr: 5.0264e-02 eta: 1 day, 5:41:14 time: 0.5195 data_time: 0.0341 memory: 18108 grad_norm: 3.6282 loss: 3.7669 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1226 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.6443 2023/02/02 00:21:57 - mmengine - INFO - Epoch(train) [145][1200/1879] lr: 5.0256e-02 eta: 1 day, 5:41:03 time: 0.4954 data_time: 0.0325 memory: 18108 grad_norm: 3.7234 loss: 4.0166 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4159 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6007 2023/02/02 00:22:07 - mmengine - INFO - Epoch(train) [145][1220/1879] lr: 5.0249e-02 eta: 1 day, 5:40:53 time: 0.5118 data_time: 0.0414 memory: 18108 grad_norm: 3.6894 loss: 4.0231 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3621 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.6610 2023/02/02 00:22:17 - mmengine - INFO - Epoch(train) [145][1240/1879] lr: 5.0241e-02 eta: 1 day, 5:40:43 time: 0.5046 data_time: 0.0340 memory: 18108 grad_norm: 3.5644 loss: 3.9454 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3183 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.6272 2023/02/02 00:22:28 - mmengine - INFO - Epoch(train) [145][1260/1879] lr: 5.0233e-02 eta: 1 day, 5:40:32 time: 0.5157 data_time: 0.0349 memory: 18108 grad_norm: 3.7081 loss: 3.9489 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3586 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.5903 2023/02/02 00:22:38 - mmengine - INFO - Epoch(train) [145][1280/1879] lr: 5.0226e-02 eta: 1 day, 5:40:22 time: 0.4993 data_time: 0.0410 memory: 18108 grad_norm: 3.7432 loss: 3.8960 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2698 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6262 2023/02/02 00:22:48 - mmengine - INFO - Epoch(train) [145][1300/1879] lr: 5.0218e-02 eta: 1 day, 5:40:12 time: 0.5081 data_time: 0.0359 memory: 18108 grad_norm: 3.7127 loss: 3.7595 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1433 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.6162 2023/02/02 00:22:57 - mmengine - INFO - Epoch(train) [145][1320/1879] lr: 5.0211e-02 eta: 1 day, 5:40:01 time: 0.4847 data_time: 0.0333 memory: 18108 grad_norm: 3.7491 loss: 4.0505 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3196 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.7309 2023/02/02 00:23:08 - mmengine - INFO - Epoch(train) [145][1340/1879] lr: 5.0203e-02 eta: 1 day, 5:39:51 time: 0.5129 data_time: 0.0357 memory: 18108 grad_norm: 3.6262 loss: 3.9703 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2950 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.6753 2023/02/02 00:23:18 - mmengine - INFO - Epoch(train) [145][1360/1879] lr: 5.0196e-02 eta: 1 day, 5:39:41 time: 0.4960 data_time: 0.0417 memory: 18108 grad_norm: 3.6430 loss: 3.8989 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2911 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6078 2023/02/02 00:23:28 - mmengine - INFO - Epoch(train) [145][1380/1879] lr: 5.0188e-02 eta: 1 day, 5:39:30 time: 0.5210 data_time: 0.0338 memory: 18108 grad_norm: 3.6134 loss: 3.7316 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2557 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.4758 2023/02/02 00:23:38 - mmengine - INFO - Epoch(train) [145][1400/1879] lr: 5.0181e-02 eta: 1 day, 5:39:20 time: 0.5006 data_time: 0.0342 memory: 18108 grad_norm: 3.6321 loss: 3.8054 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.3396 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.4658 2023/02/02 00:23:48 - mmengine - INFO - Epoch(train) [145][1420/1879] lr: 5.0173e-02 eta: 1 day, 5:39:10 time: 0.5109 data_time: 0.0411 memory: 18108 grad_norm: 3.7573 loss: 4.0456 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4422 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.6035 2023/02/02 00:23:50 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 00:23:58 - mmengine - INFO - Epoch(train) [145][1440/1879] lr: 5.0166e-02 eta: 1 day, 5:39:00 time: 0.5013 data_time: 0.0331 memory: 18108 grad_norm: 3.5975 loss: 3.8345 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.2032 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.6313 2023/02/02 00:24:09 - mmengine - INFO - Epoch(train) [145][1460/1879] lr: 5.0158e-02 eta: 1 day, 5:38:49 time: 0.5109 data_time: 0.0332 memory: 18108 grad_norm: 3.6475 loss: 3.9472 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3718 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.5754 2023/02/02 00:24:19 - mmengine - INFO - Epoch(train) [145][1480/1879] lr: 5.0151e-02 eta: 1 day, 5:38:39 time: 0.4990 data_time: 0.0335 memory: 18108 grad_norm: 3.6383 loss: 3.7835 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1486 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.6350 2023/02/02 00:24:29 - mmengine - INFO - Epoch(train) [145][1500/1879] lr: 5.0143e-02 eta: 1 day, 5:38:29 time: 0.5178 data_time: 0.0434 memory: 18108 grad_norm: 3.7114 loss: 3.7798 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.1137 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.6661 2023/02/02 00:24:39 - mmengine - INFO - Epoch(train) [145][1520/1879] lr: 5.0136e-02 eta: 1 day, 5:38:18 time: 0.4957 data_time: 0.0329 memory: 18108 grad_norm: 3.7227 loss: 4.1988 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.4642 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.7347 2023/02/02 00:24:49 - mmengine - INFO - Epoch(train) [145][1540/1879] lr: 5.0128e-02 eta: 1 day, 5:38:08 time: 0.5260 data_time: 0.0356 memory: 18108 grad_norm: 3.7922 loss: 4.2026 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.5736 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.6290 2023/02/02 00:24:59 - mmengine - INFO - Epoch(train) [145][1560/1879] lr: 5.0121e-02 eta: 1 day, 5:37:58 time: 0.4970 data_time: 0.0337 memory: 18108 grad_norm: 3.6656 loss: 4.0604 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4253 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.6351 2023/02/02 00:25:10 - mmengine - INFO - Epoch(train) [145][1580/1879] lr: 5.0113e-02 eta: 1 day, 5:37:48 time: 0.5221 data_time: 0.0405 memory: 18108 grad_norm: 3.6341 loss: 3.9593 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3701 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.5892 2023/02/02 00:25:20 - mmengine - INFO - Epoch(train) [145][1600/1879] lr: 5.0105e-02 eta: 1 day, 5:37:38 time: 0.4999 data_time: 0.0332 memory: 18108 grad_norm: 3.6952 loss: 3.9712 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3252 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.6461 2023/02/02 00:25:30 - mmengine - INFO - Epoch(train) [145][1620/1879] lr: 5.0098e-02 eta: 1 day, 5:37:28 time: 0.5210 data_time: 0.0335 memory: 18108 grad_norm: 3.6627 loss: 3.9559 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3682 top1_acc_1: 0.5529 top5_acc_1: 0.7294 loss_cls_1: 1.5877 2023/02/02 00:25:41 - mmengine - INFO - Epoch(train) [145][1640/1879] lr: 5.0090e-02 eta: 1 day, 5:37:17 time: 0.5186 data_time: 0.0408 memory: 18108 grad_norm: 3.6171 loss: 3.8411 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2190 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.6220 2023/02/02 00:25:51 - mmengine - INFO - Epoch(train) [145][1660/1879] lr: 5.0083e-02 eta: 1 day, 5:37:07 time: 0.5273 data_time: 0.0334 memory: 18108 grad_norm: 3.6447 loss: 3.9289 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2508 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.6781 2023/02/02 00:26:01 - mmengine - INFO - Epoch(train) [145][1680/1879] lr: 5.0075e-02 eta: 1 day, 5:36:57 time: 0.5039 data_time: 0.0333 memory: 18108 grad_norm: 3.7237 loss: 3.7963 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2577 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.5387 2023/02/02 00:26:12 - mmengine - INFO - Epoch(train) [145][1700/1879] lr: 5.0068e-02 eta: 1 day, 5:36:47 time: 0.5393 data_time: 0.0335 memory: 18108 grad_norm: 3.6373 loss: 3.8062 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.2553 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.5508 2023/02/02 00:26:23 - mmengine - INFO - Epoch(train) [145][1720/1879] lr: 5.0060e-02 eta: 1 day, 5:36:37 time: 0.5268 data_time: 0.0469 memory: 18108 grad_norm: 3.6286 loss: 3.8094 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1565 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.6529 2023/02/02 00:26:33 - mmengine - INFO - Epoch(train) [145][1740/1879] lr: 5.0053e-02 eta: 1 day, 5:36:27 time: 0.5181 data_time: 0.0336 memory: 18108 grad_norm: 3.6036 loss: 3.9651 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3330 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.6321 2023/02/02 00:26:43 - mmengine - INFO - Epoch(train) [145][1760/1879] lr: 5.0045e-02 eta: 1 day, 5:36:17 time: 0.5045 data_time: 0.0337 memory: 18108 grad_norm: 3.5881 loss: 3.7702 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2577 top1_acc_1: 0.5412 top5_acc_1: 0.7059 loss_cls_1: 1.5125 2023/02/02 00:26:54 - mmengine - INFO - Epoch(train) [145][1780/1879] lr: 5.0038e-02 eta: 1 day, 5:36:07 time: 0.5504 data_time: 0.0422 memory: 18108 grad_norm: 3.7047 loss: 4.0529 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3931 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.6598 2023/02/02 00:27:05 - mmengine - INFO - Epoch(train) [145][1800/1879] lr: 5.0030e-02 eta: 1 day, 5:35:57 time: 0.5143 data_time: 0.0317 memory: 18108 grad_norm: 3.6722 loss: 3.8655 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2453 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.6202 2023/02/02 00:27:15 - mmengine - INFO - Epoch(train) [145][1820/1879] lr: 5.0023e-02 eta: 1 day, 5:35:47 time: 0.5085 data_time: 0.0345 memory: 18108 grad_norm: 3.6794 loss: 3.8955 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.2249 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6706 2023/02/02 00:27:25 - mmengine - INFO - Epoch(train) [145][1840/1879] lr: 5.0015e-02 eta: 1 day, 5:35:37 time: 0.5222 data_time: 0.0322 memory: 18108 grad_norm: 3.7078 loss: 4.1053 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4407 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.6645 2023/02/02 00:27:36 - mmengine - INFO - Epoch(train) [145][1860/1879] lr: 5.0008e-02 eta: 1 day, 5:35:27 time: 0.5231 data_time: 0.0346 memory: 18108 grad_norm: 3.6556 loss: 4.0659 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3542 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.7117 2023/02/02 00:27:45 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 00:27:45 - mmengine - INFO - Epoch(train) [145][1879/1879] lr: 5.0000e-02 eta: 1 day, 5:35:17 time: 0.4912 data_time: 0.0279 memory: 18108 grad_norm: 3.7146 loss: 3.8993 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 2.2074 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.6918 2023/02/02 00:28:00 - mmengine - INFO - Epoch(train) [146][ 20/1879] lr: 4.9993e-02 eta: 1 day, 5:35:10 time: 0.7147 data_time: 0.2610 memory: 18108 grad_norm: 3.6035 loss: 3.9487 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3182 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.6305 2023/02/02 00:28:10 - mmengine - INFO - Epoch(train) [146][ 40/1879] lr: 4.9985e-02 eta: 1 day, 5:34:59 time: 0.4710 data_time: 0.0321 memory: 18108 grad_norm: 3.6827 loss: 3.8530 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2321 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.6208 2023/02/02 00:28:20 - mmengine - INFO - Epoch(train) [146][ 60/1879] lr: 4.9978e-02 eta: 1 day, 5:34:49 time: 0.4978 data_time: 0.0374 memory: 18108 grad_norm: 3.7221 loss: 4.0482 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4445 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.6037 2023/02/02 00:28:30 - mmengine - INFO - Epoch(train) [146][ 80/1879] lr: 4.9970e-02 eta: 1 day, 5:34:38 time: 0.5178 data_time: 0.0415 memory: 18108 grad_norm: 3.6715 loss: 3.9387 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4541 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.4847 2023/02/02 00:28:40 - mmengine - INFO - Epoch(train) [146][ 100/1879] lr: 4.9963e-02 eta: 1 day, 5:34:28 time: 0.4873 data_time: 0.0372 memory: 18108 grad_norm: 3.5990 loss: 3.8228 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2216 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.6012 2023/02/02 00:28:49 - mmengine - INFO - Epoch(train) [146][ 120/1879] lr: 4.9955e-02 eta: 1 day, 5:34:17 time: 0.4748 data_time: 0.0327 memory: 18108 grad_norm: 3.7396 loss: 3.8823 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3143 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.5680 2023/02/02 00:28:59 - mmengine - INFO - Epoch(train) [146][ 140/1879] lr: 4.9948e-02 eta: 1 day, 5:34:07 time: 0.5038 data_time: 0.0378 memory: 18108 grad_norm: 3.6343 loss: 3.7753 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1799 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.5954 2023/02/02 00:29:09 - mmengine - INFO - Epoch(train) [146][ 160/1879] lr: 4.9940e-02 eta: 1 day, 5:33:56 time: 0.4852 data_time: 0.0333 memory: 18108 grad_norm: 3.6551 loss: 3.6886 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1873 top1_acc_1: 0.6824 top5_acc_1: 0.8118 loss_cls_1: 1.5013 2023/02/02 00:29:19 - mmengine - INFO - Epoch(train) [146][ 180/1879] lr: 4.9933e-02 eta: 1 day, 5:33:46 time: 0.4911 data_time: 0.0371 memory: 18108 grad_norm: 3.6393 loss: 3.6080 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0281 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.5798 2023/02/02 00:29:29 - mmengine - INFO - Epoch(train) [146][ 200/1879] lr: 4.9925e-02 eta: 1 day, 5:33:35 time: 0.4844 data_time: 0.0387 memory: 18108 grad_norm: 3.7202 loss: 4.0669 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3766 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.6903 2023/02/02 00:29:39 - mmengine - INFO - Epoch(train) [146][ 220/1879] lr: 4.9918e-02 eta: 1 day, 5:33:25 time: 0.5024 data_time: 0.0375 memory: 18108 grad_norm: 3.6590 loss: 3.7150 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1874 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.5276 2023/02/02 00:29:48 - mmengine - INFO - Epoch(train) [146][ 240/1879] lr: 4.9910e-02 eta: 1 day, 5:33:14 time: 0.4810 data_time: 0.0330 memory: 18108 grad_norm: 3.7020 loss: 3.8406 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.2610 top1_acc_1: 0.4706 top5_acc_1: 0.7176 loss_cls_1: 1.5796 2023/02/02 00:29:58 - mmengine - INFO - Epoch(train) [146][ 260/1879] lr: 4.9902e-02 eta: 1 day, 5:33:03 time: 0.4852 data_time: 0.0391 memory: 18108 grad_norm: 3.6668 loss: 3.6683 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.0831 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.5852 2023/02/02 00:30:08 - mmengine - INFO - Epoch(train) [146][ 280/1879] lr: 4.9895e-02 eta: 1 day, 5:32:53 time: 0.4909 data_time: 0.0384 memory: 18108 grad_norm: 3.6938 loss: 3.5913 top1_acc_0: 0.3750 top5_acc_0: 0.3750 loss_cls_0: 2.0884 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.5029 2023/02/02 00:30:18 - mmengine - INFO - Epoch(train) [146][ 300/1879] lr: 4.9887e-02 eta: 1 day, 5:32:43 time: 0.5085 data_time: 0.0357 memory: 18108 grad_norm: 3.6818 loss: 3.9345 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3764 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.5581 2023/02/02 00:30:28 - mmengine - INFO - Epoch(train) [146][ 320/1879] lr: 4.9880e-02 eta: 1 day, 5:32:32 time: 0.4800 data_time: 0.0324 memory: 18108 grad_norm: 3.7888 loss: 3.8620 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1785 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.6834 2023/02/02 00:30:38 - mmengine - INFO - Epoch(train) [146][ 340/1879] lr: 4.9872e-02 eta: 1 day, 5:32:22 time: 0.4952 data_time: 0.0425 memory: 18108 grad_norm: 3.6043 loss: 3.8374 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2105 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.6269 2023/02/02 00:30:48 - mmengine - INFO - Epoch(train) [146][ 360/1879] lr: 4.9865e-02 eta: 1 day, 5:32:11 time: 0.4980 data_time: 0.0332 memory: 18108 grad_norm: 3.6360 loss: 3.8875 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3266 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.5608 2023/02/02 00:30:57 - mmengine - INFO - Epoch(train) [146][ 380/1879] lr: 4.9857e-02 eta: 1 day, 5:32:01 time: 0.4968 data_time: 0.0400 memory: 18108 grad_norm: 3.7704 loss: 3.7768 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2288 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.5480 2023/02/02 00:31:07 - mmengine - INFO - Epoch(train) [146][ 400/1879] lr: 4.9850e-02 eta: 1 day, 5:31:50 time: 0.4851 data_time: 0.0321 memory: 18108 grad_norm: 3.7022 loss: 3.8556 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2346 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.6210 2023/02/02 00:31:18 - mmengine - INFO - Epoch(train) [146][ 420/1879] lr: 4.9842e-02 eta: 1 day, 5:31:40 time: 0.5191 data_time: 0.0392 memory: 18108 grad_norm: 3.6813 loss: 3.7929 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1724 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.6205 2023/02/02 00:31:27 - mmengine - INFO - Epoch(train) [146][ 440/1879] lr: 4.9835e-02 eta: 1 day, 5:31:30 time: 0.4884 data_time: 0.0347 memory: 18108 grad_norm: 3.7032 loss: 3.9751 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2549 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.7202 2023/02/02 00:31:37 - mmengine - INFO - Epoch(train) [146][ 460/1879] lr: 4.9827e-02 eta: 1 day, 5:31:19 time: 0.5016 data_time: 0.0372 memory: 18108 grad_norm: 3.6773 loss: 4.0551 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4477 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.6074 2023/02/02 00:31:47 - mmengine - INFO - Epoch(train) [146][ 480/1879] lr: 4.9820e-02 eta: 1 day, 5:31:09 time: 0.4947 data_time: 0.0322 memory: 18108 grad_norm: 3.7131 loss: 3.7573 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2693 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.4880 2023/02/02 00:31:58 - mmengine - INFO - Epoch(train) [146][ 500/1879] lr: 4.9812e-02 eta: 1 day, 5:30:59 time: 0.5158 data_time: 0.0369 memory: 18108 grad_norm: 3.6080 loss: 3.8566 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1633 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.6933 2023/02/02 00:32:07 - mmengine - INFO - Epoch(train) [146][ 520/1879] lr: 4.9805e-02 eta: 1 day, 5:30:48 time: 0.4873 data_time: 0.0336 memory: 18108 grad_norm: 3.7104 loss: 4.0809 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4571 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.6238 2023/02/02 00:32:18 - mmengine - INFO - Epoch(train) [146][ 540/1879] lr: 4.9797e-02 eta: 1 day, 5:30:38 time: 0.5180 data_time: 0.0475 memory: 18108 grad_norm: 3.6789 loss: 3.8160 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2550 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.5610 2023/02/02 00:32:20 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 00:32:27 - mmengine - INFO - Epoch(train) [146][ 560/1879] lr: 4.9790e-02 eta: 1 day, 5:30:27 time: 0.4815 data_time: 0.0322 memory: 18108 grad_norm: 3.5245 loss: 3.8530 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2460 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.6070 2023/02/02 00:32:38 - mmengine - INFO - Epoch(train) [146][ 580/1879] lr: 4.9782e-02 eta: 1 day, 5:30:17 time: 0.5055 data_time: 0.0390 memory: 18108 grad_norm: 3.6742 loss: 4.0698 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.4135 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.6563 2023/02/02 00:32:47 - mmengine - INFO - Epoch(train) [146][ 600/1879] lr: 4.9774e-02 eta: 1 day, 5:30:06 time: 0.4866 data_time: 0.0402 memory: 18108 grad_norm: 3.7211 loss: 3.7456 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2132 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.5323 2023/02/02 00:32:58 - mmengine - INFO - Epoch(train) [146][ 620/1879] lr: 4.9767e-02 eta: 1 day, 5:29:56 time: 0.5158 data_time: 0.0374 memory: 18108 grad_norm: 3.6788 loss: 3.8709 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2501 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6208 2023/02/02 00:33:08 - mmengine - INFO - Epoch(train) [146][ 640/1879] lr: 4.9759e-02 eta: 1 day, 5:29:46 time: 0.4977 data_time: 0.0379 memory: 18108 grad_norm: 3.6456 loss: 3.9031 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.2944 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.6087 2023/02/02 00:33:18 - mmengine - INFO - Epoch(train) [146][ 660/1879] lr: 4.9752e-02 eta: 1 day, 5:29:35 time: 0.5042 data_time: 0.0363 memory: 18108 grad_norm: 3.6957 loss: 4.1435 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.5014 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.6421 2023/02/02 00:33:28 - mmengine - INFO - Epoch(train) [146][ 680/1879] lr: 4.9744e-02 eta: 1 day, 5:29:25 time: 0.5027 data_time: 0.0380 memory: 18108 grad_norm: 3.6030 loss: 3.9197 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2102 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.7095 2023/02/02 00:33:38 - mmengine - INFO - Epoch(train) [146][ 700/1879] lr: 4.9737e-02 eta: 1 day, 5:29:15 time: 0.5049 data_time: 0.0336 memory: 18108 grad_norm: 3.6814 loss: 3.8725 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2599 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.6126 2023/02/02 00:33:48 - mmengine - INFO - Epoch(train) [146][ 720/1879] lr: 4.9729e-02 eta: 1 day, 5:29:04 time: 0.4983 data_time: 0.0349 memory: 18108 grad_norm: 3.6630 loss: 3.8506 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1719 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.6786 2023/02/02 00:33:58 - mmengine - INFO - Epoch(train) [146][ 740/1879] lr: 4.9722e-02 eta: 1 day, 5:28:54 time: 0.5125 data_time: 0.0382 memory: 18108 grad_norm: 3.6590 loss: 3.8145 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1627 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.6518 2023/02/02 00:34:08 - mmengine - INFO - Epoch(train) [146][ 760/1879] lr: 4.9714e-02 eta: 1 day, 5:28:44 time: 0.5113 data_time: 0.0360 memory: 18108 grad_norm: 3.6530 loss: 3.8118 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.1870 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.6248 2023/02/02 00:34:19 - mmengine - INFO - Epoch(train) [146][ 780/1879] lr: 4.9707e-02 eta: 1 day, 5:28:34 time: 0.5043 data_time: 0.0330 memory: 18108 grad_norm: 3.6062 loss: 3.8785 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.2172 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.6613 2023/02/02 00:34:29 - mmengine - INFO - Epoch(train) [146][ 800/1879] lr: 4.9699e-02 eta: 1 day, 5:28:23 time: 0.5036 data_time: 0.0451 memory: 18108 grad_norm: 3.6936 loss: 3.9568 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4278 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.5290 2023/02/02 00:34:39 - mmengine - INFO - Epoch(train) [146][ 820/1879] lr: 4.9692e-02 eta: 1 day, 5:28:13 time: 0.5140 data_time: 0.0336 memory: 18108 grad_norm: 3.7754 loss: 3.8412 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.2764 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.5648 2023/02/02 00:34:50 - mmengine - INFO - Epoch(train) [146][ 840/1879] lr: 4.9684e-02 eta: 1 day, 5:28:03 time: 0.5297 data_time: 0.0351 memory: 18108 grad_norm: 3.6661 loss: 3.7626 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.2010 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.5617 2023/02/02 00:35:00 - mmengine - INFO - Epoch(train) [146][ 860/1879] lr: 4.9677e-02 eta: 1 day, 5:27:53 time: 0.5174 data_time: 0.0384 memory: 18108 grad_norm: 3.6872 loss: 3.9827 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3378 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.6450 2023/02/02 00:35:10 - mmengine - INFO - Epoch(train) [146][ 880/1879] lr: 4.9669e-02 eta: 1 day, 5:27:43 time: 0.5157 data_time: 0.0360 memory: 18108 grad_norm: 3.6467 loss: 3.9541 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3555 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.5987 2023/02/02 00:35:21 - mmengine - INFO - Epoch(train) [146][ 900/1879] lr: 4.9661e-02 eta: 1 day, 5:27:33 time: 0.5221 data_time: 0.0323 memory: 18108 grad_norm: 3.6587 loss: 3.7422 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 2.1395 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.6026 2023/02/02 00:35:31 - mmengine - INFO - Epoch(train) [146][ 920/1879] lr: 4.9654e-02 eta: 1 day, 5:27:23 time: 0.5316 data_time: 0.0474 memory: 18108 grad_norm: 3.6497 loss: 3.7374 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2141 top1_acc_1: 0.4824 top5_acc_1: 0.8235 loss_cls_1: 1.5233 2023/02/02 00:35:42 - mmengine - INFO - Epoch(train) [146][ 940/1879] lr: 4.9646e-02 eta: 1 day, 5:27:13 time: 0.5119 data_time: 0.0314 memory: 18108 grad_norm: 3.6104 loss: 3.6860 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.0946 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.5914 2023/02/02 00:35:52 - mmengine - INFO - Epoch(train) [146][ 960/1879] lr: 4.9639e-02 eta: 1 day, 5:27:03 time: 0.5363 data_time: 0.0361 memory: 18108 grad_norm: 3.7254 loss: 4.0254 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3956 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.6298 2023/02/02 00:36:03 - mmengine - INFO - Epoch(train) [146][ 980/1879] lr: 4.9631e-02 eta: 1 day, 5:26:53 time: 0.5130 data_time: 0.0303 memory: 18108 grad_norm: 3.6513 loss: 3.7862 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2159 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.5703 2023/02/02 00:36:13 - mmengine - INFO - Epoch(train) [146][1000/1879] lr: 4.9624e-02 eta: 1 day, 5:26:43 time: 0.5192 data_time: 0.0443 memory: 18108 grad_norm: 3.6214 loss: 4.0477 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4090 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.6387 2023/02/02 00:36:23 - mmengine - INFO - Epoch(train) [146][1020/1879] lr: 4.9616e-02 eta: 1 day, 5:26:33 time: 0.5125 data_time: 0.0316 memory: 18108 grad_norm: 3.6408 loss: 4.0392 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4107 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.6284 2023/02/02 00:36:34 - mmengine - INFO - Epoch(train) [146][1040/1879] lr: 4.9609e-02 eta: 1 day, 5:26:23 time: 0.5131 data_time: 0.0361 memory: 18108 grad_norm: 3.6617 loss: 3.9297 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.2184 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.7113 2023/02/02 00:36:44 - mmengine - INFO - Epoch(train) [146][1060/1879] lr: 4.9601e-02 eta: 1 day, 5:26:12 time: 0.5198 data_time: 0.0392 memory: 18108 grad_norm: 3.7157 loss: 3.8619 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.2746 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5873 2023/02/02 00:36:54 - mmengine - INFO - Epoch(train) [146][1080/1879] lr: 4.9594e-02 eta: 1 day, 5:26:02 time: 0.5082 data_time: 0.0381 memory: 18108 grad_norm: 3.6702 loss: 3.6389 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0744 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.5645 2023/02/02 00:37:04 - mmengine - INFO - Epoch(train) [146][1100/1879] lr: 4.9586e-02 eta: 1 day, 5:25:52 time: 0.5128 data_time: 0.0322 memory: 18108 grad_norm: 3.6876 loss: 4.1263 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4477 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.6786 2023/02/02 00:37:15 - mmengine - INFO - Epoch(train) [146][1120/1879] lr: 4.9579e-02 eta: 1 day, 5:25:42 time: 0.5084 data_time: 0.0392 memory: 18108 grad_norm: 3.6349 loss: 3.9516 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3090 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.6426 2023/02/02 00:37:25 - mmengine - INFO - Epoch(train) [146][1140/1879] lr: 4.9571e-02 eta: 1 day, 5:25:31 time: 0.5009 data_time: 0.0303 memory: 18108 grad_norm: 3.7794 loss: 4.0602 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.4610 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.5992 2023/02/02 00:37:35 - mmengine - INFO - Epoch(train) [146][1160/1879] lr: 4.9564e-02 eta: 1 day, 5:25:21 time: 0.5185 data_time: 0.0362 memory: 18108 grad_norm: 3.6661 loss: 3.8623 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.2213 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.6410 2023/02/02 00:37:45 - mmengine - INFO - Epoch(train) [146][1180/1879] lr: 4.9556e-02 eta: 1 day, 5:25:11 time: 0.5116 data_time: 0.0336 memory: 18108 grad_norm: 3.7133 loss: 3.9281 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3318 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.5963 2023/02/02 00:37:56 - mmengine - INFO - Epoch(train) [146][1200/1879] lr: 4.9549e-02 eta: 1 day, 5:25:01 time: 0.5238 data_time: 0.0430 memory: 18108 grad_norm: 3.6667 loss: 3.7829 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 2.2141 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.5688 2023/02/02 00:38:06 - mmengine - INFO - Epoch(train) [146][1220/1879] lr: 4.9541e-02 eta: 1 day, 5:24:51 time: 0.5211 data_time: 0.0310 memory: 18108 grad_norm: 3.7595 loss: 3.8659 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1932 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.6728 2023/02/02 00:38:17 - mmengine - INFO - Epoch(train) [146][1240/1879] lr: 4.9533e-02 eta: 1 day, 5:24:41 time: 0.5233 data_time: 0.0370 memory: 18108 grad_norm: 3.6880 loss: 3.9111 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2668 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.6442 2023/02/02 00:38:27 - mmengine - INFO - Epoch(train) [146][1260/1879] lr: 4.9526e-02 eta: 1 day, 5:24:31 time: 0.5195 data_time: 0.0384 memory: 18108 grad_norm: 3.6614 loss: 3.9233 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3347 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.5886 2023/02/02 00:38:38 - mmengine - INFO - Epoch(train) [146][1280/1879] lr: 4.9518e-02 eta: 1 day, 5:24:21 time: 0.5333 data_time: 0.0366 memory: 18108 grad_norm: 3.5959 loss: 3.8030 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2405 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.5625 2023/02/02 00:38:48 - mmengine - INFO - Epoch(train) [146][1300/1879] lr: 4.9511e-02 eta: 1 day, 5:24:11 time: 0.5130 data_time: 0.0303 memory: 18108 grad_norm: 3.6998 loss: 3.8481 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2491 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.5990 2023/02/02 00:38:59 - mmengine - INFO - Epoch(train) [146][1320/1879] lr: 4.9503e-02 eta: 1 day, 5:24:01 time: 0.5245 data_time: 0.0359 memory: 18108 grad_norm: 3.7297 loss: 3.7673 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2086 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5587 2023/02/02 00:39:09 - mmengine - INFO - Epoch(train) [146][1340/1879] lr: 4.9496e-02 eta: 1 day, 5:23:51 time: 0.5084 data_time: 0.0372 memory: 18108 grad_norm: 3.6869 loss: 3.9108 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.1873 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.7235 2023/02/02 00:39:20 - mmengine - INFO - Epoch(train) [146][1360/1879] lr: 4.9488e-02 eta: 1 day, 5:23:41 time: 0.5387 data_time: 0.0349 memory: 18108 grad_norm: 3.6357 loss: 3.8723 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.1302 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.7421 2023/02/02 00:39:30 - mmengine - INFO - Epoch(train) [146][1380/1879] lr: 4.9481e-02 eta: 1 day, 5:23:31 time: 0.5133 data_time: 0.0297 memory: 18108 grad_norm: 3.6724 loss: 3.7676 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1871 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.5805 2023/02/02 00:39:40 - mmengine - INFO - Epoch(train) [146][1400/1879] lr: 4.9473e-02 eta: 1 day, 5:23:21 time: 0.5271 data_time: 0.0387 memory: 18108 grad_norm: 3.6657 loss: 3.8455 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2013 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.6442 2023/02/02 00:39:51 - mmengine - INFO - Epoch(train) [146][1420/1879] lr: 4.9466e-02 eta: 1 day, 5:23:11 time: 0.5225 data_time: 0.0314 memory: 18108 grad_norm: 3.6803 loss: 3.9697 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3622 top1_acc_1: 0.7294 top5_acc_1: 0.9529 loss_cls_1: 1.6074 2023/02/02 00:40:02 - mmengine - INFO - Epoch(train) [146][1440/1879] lr: 4.9458e-02 eta: 1 day, 5:23:01 time: 0.5310 data_time: 0.0367 memory: 18108 grad_norm: 3.6530 loss: 3.8663 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 2.2460 top1_acc_1: 0.6588 top5_acc_1: 0.7647 loss_cls_1: 1.6203 2023/02/02 00:40:12 - mmengine - INFO - Epoch(train) [146][1460/1879] lr: 4.9451e-02 eta: 1 day, 5:22:50 time: 0.5041 data_time: 0.0309 memory: 18108 grad_norm: 3.6027 loss: 4.0350 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3914 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.6436 2023/02/02 00:40:22 - mmengine - INFO - Epoch(train) [146][1480/1879] lr: 4.9443e-02 eta: 1 day, 5:22:41 time: 0.5389 data_time: 0.0371 memory: 18108 grad_norm: 3.6267 loss: 4.1518 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4647 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.6871 2023/02/02 00:40:33 - mmengine - INFO - Epoch(train) [146][1500/1879] lr: 4.9436e-02 eta: 1 day, 5:22:30 time: 0.5100 data_time: 0.0316 memory: 18108 grad_norm: 3.6885 loss: 3.5855 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9107 top1_acc_1: 0.5882 top5_acc_1: 0.8941 loss_cls_1: 1.6747 2023/02/02 00:40:43 - mmengine - INFO - Epoch(train) [146][1520/1879] lr: 4.9428e-02 eta: 1 day, 5:22:20 time: 0.5278 data_time: 0.0349 memory: 18108 grad_norm: 3.6460 loss: 3.7189 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1020 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.6169 2023/02/02 00:40:53 - mmengine - INFO - Epoch(train) [146][1540/1879] lr: 4.9420e-02 eta: 1 day, 5:22:10 time: 0.5096 data_time: 0.0398 memory: 18108 grad_norm: 3.7072 loss: 3.8615 top1_acc_0: 0.3125 top5_acc_0: 0.3125 loss_cls_0: 2.3074 top1_acc_1: 0.5647 top5_acc_1: 0.8824 loss_cls_1: 1.5541 2023/02/02 00:40:56 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 00:41:04 - mmengine - INFO - Epoch(train) [146][1560/1879] lr: 4.9413e-02 eta: 1 day, 5:22:00 time: 0.5228 data_time: 0.0345 memory: 18108 grad_norm: 3.7060 loss: 3.8709 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2875 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.5834 2023/02/02 00:41:14 - mmengine - INFO - Epoch(train) [146][1580/1879] lr: 4.9405e-02 eta: 1 day, 5:21:50 time: 0.5085 data_time: 0.0300 memory: 18108 grad_norm: 3.6659 loss: 3.8181 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.1679 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.6502 2023/02/02 00:41:24 - mmengine - INFO - Epoch(train) [146][1600/1879] lr: 4.9398e-02 eta: 1 day, 5:21:40 time: 0.5190 data_time: 0.0356 memory: 18108 grad_norm: 3.7093 loss: 3.9455 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2632 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.6823 2023/02/02 00:41:35 - mmengine - INFO - Epoch(train) [146][1620/1879] lr: 4.9390e-02 eta: 1 day, 5:21:30 time: 0.5303 data_time: 0.0395 memory: 18108 grad_norm: 3.7366 loss: 3.7556 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1421 top1_acc_1: 0.6588 top5_acc_1: 0.7882 loss_cls_1: 1.6135 2023/02/02 00:41:45 - mmengine - INFO - Epoch(train) [146][1640/1879] lr: 4.9383e-02 eta: 1 day, 5:21:20 time: 0.5191 data_time: 0.0348 memory: 18108 grad_norm: 3.7272 loss: 3.9468 top1_acc_0: 0.5000 top5_acc_0: 1.0000 loss_cls_0: 2.3182 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.6286 2023/02/02 00:41:56 - mmengine - INFO - Epoch(train) [146][1660/1879] lr: 4.9375e-02 eta: 1 day, 5:21:10 time: 0.5127 data_time: 0.0319 memory: 18108 grad_norm: 3.6477 loss: 3.8050 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1952 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.6099 2023/02/02 00:42:07 - mmengine - INFO - Epoch(train) [146][1680/1879] lr: 4.9368e-02 eta: 1 day, 5:21:00 time: 0.5465 data_time: 0.0344 memory: 18108 grad_norm: 3.6459 loss: 4.1456 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4805 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.6651 2023/02/02 00:42:17 - mmengine - INFO - Epoch(train) [146][1700/1879] lr: 4.9360e-02 eta: 1 day, 5:20:50 time: 0.5220 data_time: 0.0353 memory: 18108 grad_norm: 3.7036 loss: 3.6997 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1630 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.5367 2023/02/02 00:42:28 - mmengine - INFO - Epoch(train) [146][1720/1879] lr: 4.9353e-02 eta: 1 day, 5:20:40 time: 0.5195 data_time: 0.0344 memory: 18108 grad_norm: 3.6790 loss: 3.9082 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2805 top1_acc_1: 0.5647 top5_acc_1: 0.8941 loss_cls_1: 1.6277 2023/02/02 00:42:38 - mmengine - INFO - Epoch(train) [146][1740/1879] lr: 4.9345e-02 eta: 1 day, 5:20:30 time: 0.5148 data_time: 0.0313 memory: 18108 grad_norm: 3.7069 loss: 3.8039 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1078 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.6962 2023/02/02 00:42:49 - mmengine - INFO - Epoch(train) [146][1760/1879] lr: 4.9338e-02 eta: 1 day, 5:20:20 time: 0.5370 data_time: 0.0414 memory: 18108 grad_norm: 3.7153 loss: 3.8467 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1529 top1_acc_1: 0.5882 top5_acc_1: 0.8941 loss_cls_1: 1.6938 2023/02/02 00:42:59 - mmengine - INFO - Epoch(train) [146][1780/1879] lr: 4.9330e-02 eta: 1 day, 5:20:10 time: 0.5136 data_time: 0.0300 memory: 18108 grad_norm: 3.6431 loss: 3.9205 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2810 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.6395 2023/02/02 00:43:09 - mmengine - INFO - Epoch(train) [146][1800/1879] lr: 4.9323e-02 eta: 1 day, 5:20:00 time: 0.5239 data_time: 0.0358 memory: 18108 grad_norm: 3.6597 loss: 3.6082 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.0009 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6073 2023/02/02 00:43:20 - mmengine - INFO - Epoch(train) [146][1820/1879] lr: 4.9315e-02 eta: 1 day, 5:19:50 time: 0.5247 data_time: 0.0357 memory: 18108 grad_norm: 3.7236 loss: 3.9407 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.3479 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.5928 2023/02/02 00:43:30 - mmengine - INFO - Epoch(train) [146][1840/1879] lr: 4.9308e-02 eta: 1 day, 5:19:40 time: 0.5139 data_time: 0.0369 memory: 18108 grad_norm: 3.6613 loss: 3.8791 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2043 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.6747 2023/02/02 00:43:41 - mmengine - INFO - Epoch(train) [146][1860/1879] lr: 4.9300e-02 eta: 1 day, 5:19:29 time: 0.5163 data_time: 0.0305 memory: 18108 grad_norm: 3.7150 loss: 4.1651 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4807 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.6843 2023/02/02 00:43:50 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 00:43:50 - mmengine - INFO - Epoch(train) [146][1879/1879] lr: 4.9293e-02 eta: 1 day, 5:19:20 time: 0.5066 data_time: 0.0322 memory: 18108 grad_norm: 3.7946 loss: 4.1233 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 2.4466 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.6766 2023/02/02 00:44:05 - mmengine - INFO - Epoch(train) [147][ 20/1879] lr: 4.9285e-02 eta: 1 day, 5:19:12 time: 0.7087 data_time: 0.2468 memory: 18108 grad_norm: 3.6378 loss: 3.8426 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.3117 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.5309 2023/02/02 00:44:15 - mmengine - INFO - Epoch(train) [147][ 40/1879] lr: 4.9278e-02 eta: 1 day, 5:19:02 time: 0.4777 data_time: 0.0318 memory: 18108 grad_norm: 3.5941 loss: 3.9512 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4605 top1_acc_1: 0.6118 top5_acc_1: 0.9059 loss_cls_1: 1.4907 2023/02/02 00:44:24 - mmengine - INFO - Epoch(train) [147][ 60/1879] lr: 4.9270e-02 eta: 1 day, 5:18:51 time: 0.4888 data_time: 0.0379 memory: 18108 grad_norm: 3.5995 loss: 3.6331 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0485 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.5846 2023/02/02 00:44:35 - mmengine - INFO - Epoch(train) [147][ 80/1879] lr: 4.9263e-02 eta: 1 day, 5:18:41 time: 0.5263 data_time: 0.0392 memory: 18108 grad_norm: 3.6558 loss: 3.6964 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1228 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.5736 2023/02/02 00:44:45 - mmengine - INFO - Epoch(train) [147][ 100/1879] lr: 4.9255e-02 eta: 1 day, 5:18:31 time: 0.4863 data_time: 0.0384 memory: 18108 grad_norm: 3.7104 loss: 3.9584 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4094 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.5490 2023/02/02 00:44:54 - mmengine - INFO - Epoch(train) [147][ 120/1879] lr: 4.9248e-02 eta: 1 day, 5:18:20 time: 0.4813 data_time: 0.0343 memory: 18108 grad_norm: 3.6415 loss: 3.7760 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.2012 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.5748 2023/02/02 00:45:04 - mmengine - INFO - Epoch(train) [147][ 140/1879] lr: 4.9240e-02 eta: 1 day, 5:18:09 time: 0.4931 data_time: 0.0366 memory: 18108 grad_norm: 3.7062 loss: 3.8463 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2132 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.6330 2023/02/02 00:45:14 - mmengine - INFO - Epoch(train) [147][ 160/1879] lr: 4.9233e-02 eta: 1 day, 5:17:59 time: 0.5108 data_time: 0.0393 memory: 18108 grad_norm: 3.6976 loss: 3.7854 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2028 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.5826 2023/02/02 00:45:24 - mmengine - INFO - Epoch(train) [147][ 180/1879] lr: 4.9225e-02 eta: 1 day, 5:17:49 time: 0.4854 data_time: 0.0372 memory: 18108 grad_norm: 3.6457 loss: 3.7181 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1219 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.5962 2023/02/02 00:45:34 - mmengine - INFO - Epoch(train) [147][ 200/1879] lr: 4.9218e-02 eta: 1 day, 5:17:38 time: 0.4819 data_time: 0.0324 memory: 18108 grad_norm: 3.6315 loss: 3.6547 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0647 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.5900 2023/02/02 00:45:44 - mmengine - INFO - Epoch(train) [147][ 220/1879] lr: 4.9210e-02 eta: 1 day, 5:17:28 time: 0.5033 data_time: 0.0355 memory: 18108 grad_norm: 3.6858 loss: 3.7540 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.1477 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.6062 2023/02/02 00:45:54 - mmengine - INFO - Epoch(train) [147][ 240/1879] lr: 4.9202e-02 eta: 1 day, 5:17:17 time: 0.5131 data_time: 0.0378 memory: 18108 grad_norm: 3.8133 loss: 3.7091 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2419 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.4672 2023/02/02 00:46:04 - mmengine - INFO - Epoch(train) [147][ 260/1879] lr: 4.9195e-02 eta: 1 day, 5:17:07 time: 0.4875 data_time: 0.0347 memory: 18108 grad_norm: 3.7343 loss: 3.9374 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3226 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6148 2023/02/02 00:46:14 - mmengine - INFO - Epoch(train) [147][ 280/1879] lr: 4.9187e-02 eta: 1 day, 5:16:56 time: 0.4861 data_time: 0.0328 memory: 18108 grad_norm: 3.7317 loss: 3.8041 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1763 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.6278 2023/02/02 00:46:24 - mmengine - INFO - Epoch(train) [147][ 300/1879] lr: 4.9180e-02 eta: 1 day, 5:16:46 time: 0.5042 data_time: 0.0388 memory: 18108 grad_norm: 3.6783 loss: 3.7803 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2263 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.5539 2023/02/02 00:46:34 - mmengine - INFO - Epoch(train) [147][ 320/1879] lr: 4.9172e-02 eta: 1 day, 5:16:36 time: 0.4990 data_time: 0.0389 memory: 18108 grad_norm: 3.7283 loss: 3.8210 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2107 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.6103 2023/02/02 00:46:44 - mmengine - INFO - Epoch(train) [147][ 340/1879] lr: 4.9165e-02 eta: 1 day, 5:16:25 time: 0.5055 data_time: 0.0348 memory: 18108 grad_norm: 3.7268 loss: 3.9781 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3568 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.6213 2023/02/02 00:46:54 - mmengine - INFO - Epoch(train) [147][ 360/1879] lr: 4.9157e-02 eta: 1 day, 5:16:15 time: 0.4920 data_time: 0.0318 memory: 18108 grad_norm: 3.6897 loss: 4.0449 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4071 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.6378 2023/02/02 00:47:04 - mmengine - INFO - Epoch(train) [147][ 380/1879] lr: 4.9150e-02 eta: 1 day, 5:16:04 time: 0.4990 data_time: 0.0374 memory: 18108 grad_norm: 3.7182 loss: 3.8201 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2067 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.6134 2023/02/02 00:47:14 - mmengine - INFO - Epoch(train) [147][ 400/1879] lr: 4.9142e-02 eta: 1 day, 5:15:54 time: 0.5249 data_time: 0.0334 memory: 18108 grad_norm: 3.7255 loss: 3.9028 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3007 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6021 2023/02/02 00:47:25 - mmengine - INFO - Epoch(train) [147][ 420/1879] lr: 4.9135e-02 eta: 1 day, 5:15:44 time: 0.5228 data_time: 0.0358 memory: 18108 grad_norm: 3.6879 loss: 3.8133 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.2443 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.5690 2023/02/02 00:47:35 - mmengine - INFO - Epoch(train) [147][ 440/1879] lr: 4.9127e-02 eta: 1 day, 5:15:34 time: 0.5125 data_time: 0.0317 memory: 18108 grad_norm: 3.8002 loss: 3.9419 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3373 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.6047 2023/02/02 00:47:45 - mmengine - INFO - Epoch(train) [147][ 460/1879] lr: 4.9120e-02 eta: 1 day, 5:15:24 time: 0.5233 data_time: 0.0361 memory: 18108 grad_norm: 3.7257 loss: 3.7978 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1899 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.6079 2023/02/02 00:47:56 - mmengine - INFO - Epoch(train) [147][ 480/1879] lr: 4.9112e-02 eta: 1 day, 5:15:14 time: 0.5229 data_time: 0.0315 memory: 18108 grad_norm: 3.6596 loss: 3.6533 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.0356 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.6177 2023/02/02 00:48:07 - mmengine - INFO - Epoch(train) [147][ 500/1879] lr: 4.9105e-02 eta: 1 day, 5:15:04 time: 0.5390 data_time: 0.0411 memory: 18108 grad_norm: 3.7004 loss: 3.8958 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3654 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.5304 2023/02/02 00:48:17 - mmengine - INFO - Epoch(train) [147][ 520/1879] lr: 4.9097e-02 eta: 1 day, 5:14:54 time: 0.5219 data_time: 0.0311 memory: 18108 grad_norm: 3.7982 loss: 3.7542 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.1150 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.6392 2023/02/02 00:48:28 - mmengine - INFO - Epoch(train) [147][ 540/1879] lr: 4.9090e-02 eta: 1 day, 5:14:44 time: 0.5203 data_time: 0.0338 memory: 18108 grad_norm: 3.6624 loss: 4.0508 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.4570 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.5938 2023/02/02 00:48:38 - mmengine - INFO - Epoch(train) [147][ 560/1879] lr: 4.9082e-02 eta: 1 day, 5:14:34 time: 0.5308 data_time: 0.0386 memory: 18108 grad_norm: 3.7381 loss: 3.9116 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3151 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.5965 2023/02/02 00:48:49 - mmengine - INFO - Epoch(train) [147][ 580/1879] lr: 4.9074e-02 eta: 1 day, 5:14:24 time: 0.5284 data_time: 0.0367 memory: 18108 grad_norm: 3.7213 loss: 3.8853 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1934 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6919 2023/02/02 00:48:59 - mmengine - INFO - Epoch(train) [147][ 600/1879] lr: 4.9067e-02 eta: 1 day, 5:14:14 time: 0.5134 data_time: 0.0320 memory: 18108 grad_norm: 3.6917 loss: 4.0388 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.4252 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.6136 2023/02/02 00:49:10 - mmengine - INFO - Epoch(train) [147][ 620/1879] lr: 4.9059e-02 eta: 1 day, 5:14:04 time: 0.5212 data_time: 0.0352 memory: 18108 grad_norm: 3.6507 loss: 3.6968 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0632 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.6335 2023/02/02 00:49:20 - mmengine - INFO - Epoch(train) [147][ 640/1879] lr: 4.9052e-02 eta: 1 day, 5:13:54 time: 0.5270 data_time: 0.0388 memory: 18108 grad_norm: 3.6290 loss: 3.9272 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2677 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 1.6595 2023/02/02 00:49:31 - mmengine - INFO - Epoch(train) [147][ 660/1879] lr: 4.9044e-02 eta: 1 day, 5:13:44 time: 0.5330 data_time: 0.0364 memory: 18108 grad_norm: 3.7312 loss: 3.7473 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2129 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.5343 2023/02/02 00:49:34 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 00:49:41 - mmengine - INFO - Epoch(train) [147][ 680/1879] lr: 4.9037e-02 eta: 1 day, 5:13:34 time: 0.5175 data_time: 0.0318 memory: 18108 grad_norm: 3.7121 loss: 4.0822 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3753 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.7070 2023/02/02 00:49:52 - mmengine - INFO - Epoch(train) [147][ 700/1879] lr: 4.9029e-02 eta: 1 day, 5:13:24 time: 0.5180 data_time: 0.0360 memory: 18108 grad_norm: 3.6443 loss: 4.0724 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.3365 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.7359 2023/02/02 00:50:02 - mmengine - INFO - Epoch(train) [147][ 720/1879] lr: 4.9022e-02 eta: 1 day, 5:13:14 time: 0.5394 data_time: 0.0395 memory: 18108 grad_norm: 3.7644 loss: 3.7417 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1723 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.5695 2023/02/02 00:50:13 - mmengine - INFO - Epoch(train) [147][ 740/1879] lr: 4.9014e-02 eta: 1 day, 5:13:04 time: 0.5266 data_time: 0.0361 memory: 18108 grad_norm: 3.7298 loss: 3.9804 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3812 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.5992 2023/02/02 00:50:23 - mmengine - INFO - Epoch(train) [147][ 760/1879] lr: 4.9007e-02 eta: 1 day, 5:12:54 time: 0.5159 data_time: 0.0337 memory: 18108 grad_norm: 3.6379 loss: 3.7317 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1338 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.5979 2023/02/02 00:50:34 - mmengine - INFO - Epoch(train) [147][ 780/1879] lr: 4.8999e-02 eta: 1 day, 5:12:44 time: 0.5299 data_time: 0.0348 memory: 18108 grad_norm: 3.7443 loss: 3.8907 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2607 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.6300 2023/02/02 00:50:44 - mmengine - INFO - Epoch(train) [147][ 800/1879] lr: 4.8992e-02 eta: 1 day, 5:12:34 time: 0.5118 data_time: 0.0410 memory: 18108 grad_norm: 3.6412 loss: 3.9069 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2878 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.6191 2023/02/02 00:50:55 - mmengine - INFO - Epoch(train) [147][ 820/1879] lr: 4.8984e-02 eta: 1 day, 5:12:24 time: 0.5241 data_time: 0.0324 memory: 18108 grad_norm: 3.6908 loss: 3.6578 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.0412 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.6167 2023/02/02 00:51:05 - mmengine - INFO - Epoch(train) [147][ 840/1879] lr: 4.8977e-02 eta: 1 day, 5:12:14 time: 0.5225 data_time: 0.0327 memory: 18108 grad_norm: 3.6822 loss: 3.5578 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.9339 top1_acc_1: 0.6235 top5_acc_1: 0.9059 loss_cls_1: 1.6239 2023/02/02 00:51:16 - mmengine - INFO - Epoch(train) [147][ 860/1879] lr: 4.8969e-02 eta: 1 day, 5:12:04 time: 0.5295 data_time: 0.0420 memory: 18108 grad_norm: 3.7289 loss: 4.0902 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4323 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.6580 2023/02/02 00:51:26 - mmengine - INFO - Epoch(train) [147][ 880/1879] lr: 4.8962e-02 eta: 1 day, 5:11:54 time: 0.5128 data_time: 0.0331 memory: 18108 grad_norm: 3.8062 loss: 3.9159 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3032 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6127 2023/02/02 00:51:36 - mmengine - INFO - Epoch(train) [147][ 900/1879] lr: 4.8954e-02 eta: 1 day, 5:11:44 time: 0.5113 data_time: 0.0357 memory: 18108 grad_norm: 3.8359 loss: 3.9202 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2602 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.6600 2023/02/02 00:51:47 - mmengine - INFO - Epoch(train) [147][ 920/1879] lr: 4.8946e-02 eta: 1 day, 5:11:34 time: 0.5179 data_time: 0.0337 memory: 18108 grad_norm: 3.6748 loss: 3.8866 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2190 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.6676 2023/02/02 00:51:57 - mmengine - INFO - Epoch(train) [147][ 940/1879] lr: 4.8939e-02 eta: 1 day, 5:11:24 time: 0.5239 data_time: 0.0407 memory: 18108 grad_norm: 3.6429 loss: 3.9199 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2887 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.6312 2023/02/02 00:52:07 - mmengine - INFO - Epoch(train) [147][ 960/1879] lr: 4.8931e-02 eta: 1 day, 5:11:13 time: 0.5052 data_time: 0.0316 memory: 18108 grad_norm: 3.6989 loss: 4.0110 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3751 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.6359 2023/02/02 00:52:18 - mmengine - INFO - Epoch(train) [147][ 980/1879] lr: 4.8924e-02 eta: 1 day, 5:11:03 time: 0.5193 data_time: 0.0331 memory: 18108 grad_norm: 3.6739 loss: 3.8276 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1821 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.6455 2023/02/02 00:52:28 - mmengine - INFO - Epoch(train) [147][1000/1879] lr: 4.8916e-02 eta: 1 day, 5:10:53 time: 0.5152 data_time: 0.0412 memory: 18108 grad_norm: 3.7341 loss: 3.9698 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3481 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.6217 2023/02/02 00:52:38 - mmengine - INFO - Epoch(train) [147][1020/1879] lr: 4.8909e-02 eta: 1 day, 5:10:43 time: 0.5216 data_time: 0.0344 memory: 18108 grad_norm: 3.6914 loss: 3.6978 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0697 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.6281 2023/02/02 00:52:48 - mmengine - INFO - Epoch(train) [147][1040/1879] lr: 4.8901e-02 eta: 1 day, 5:10:33 time: 0.5049 data_time: 0.0339 memory: 18108 grad_norm: 3.7429 loss: 3.9728 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4271 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.5457 2023/02/02 00:52:59 - mmengine - INFO - Epoch(train) [147][1060/1879] lr: 4.8894e-02 eta: 1 day, 5:10:23 time: 0.5188 data_time: 0.0327 memory: 18108 grad_norm: 3.7347 loss: 4.1806 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4409 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.7397 2023/02/02 00:53:09 - mmengine - INFO - Epoch(train) [147][1080/1879] lr: 4.8886e-02 eta: 1 day, 5:10:12 time: 0.4988 data_time: 0.0322 memory: 18108 grad_norm: 3.6873 loss: 3.9427 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2273 top1_acc_1: 0.7059 top5_acc_1: 0.8235 loss_cls_1: 1.7155 2023/02/02 00:53:19 - mmengine - INFO - Epoch(train) [147][1100/1879] lr: 4.8879e-02 eta: 1 day, 5:10:02 time: 0.5154 data_time: 0.0338 memory: 18108 grad_norm: 3.7379 loss: 4.0019 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3455 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.6565 2023/02/02 00:53:29 - mmengine - INFO - Epoch(train) [147][1120/1879] lr: 4.8871e-02 eta: 1 day, 5:09:52 time: 0.5004 data_time: 0.0319 memory: 18108 grad_norm: 3.8010 loss: 3.7963 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1629 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6334 2023/02/02 00:53:40 - mmengine - INFO - Epoch(train) [147][1140/1879] lr: 4.8864e-02 eta: 1 day, 5:09:42 time: 0.5154 data_time: 0.0326 memory: 18108 grad_norm: 3.6194 loss: 4.0224 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.3791 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.6432 2023/02/02 00:53:50 - mmengine - INFO - Epoch(train) [147][1160/1879] lr: 4.8856e-02 eta: 1 day, 5:09:31 time: 0.4999 data_time: 0.0336 memory: 18108 grad_norm: 3.7239 loss: 3.9408 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2278 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.7130 2023/02/02 00:54:00 - mmengine - INFO - Epoch(train) [147][1180/1879] lr: 4.8849e-02 eta: 1 day, 5:09:21 time: 0.5164 data_time: 0.0333 memory: 18108 grad_norm: 3.6227 loss: 3.7969 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.1748 top1_acc_1: 0.6941 top5_acc_1: 0.7765 loss_cls_1: 1.6222 2023/02/02 00:54:10 - mmengine - INFO - Epoch(train) [147][1200/1879] lr: 4.8841e-02 eta: 1 day, 5:09:11 time: 0.4964 data_time: 0.0337 memory: 18108 grad_norm: 3.6782 loss: 4.1044 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.4968 top1_acc_1: 0.7059 top5_acc_1: 0.8118 loss_cls_1: 1.6075 2023/02/02 00:54:20 - mmengine - INFO - Epoch(train) [147][1220/1879] lr: 4.8834e-02 eta: 1 day, 5:09:00 time: 0.5084 data_time: 0.0329 memory: 18108 grad_norm: 3.9730 loss: 3.8014 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.1905 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.6109 2023/02/02 00:54:30 - mmengine - INFO - Epoch(train) [147][1240/1879] lr: 4.8826e-02 eta: 1 day, 5:08:50 time: 0.5050 data_time: 0.0332 memory: 18108 grad_norm: 3.7841 loss: 3.9347 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.2402 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6945 2023/02/02 00:54:40 - mmengine - INFO - Epoch(train) [147][1260/1879] lr: 4.8818e-02 eta: 1 day, 5:08:40 time: 0.5147 data_time: 0.0387 memory: 18108 grad_norm: 3.6939 loss: 3.7273 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.1466 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.5806 2023/02/02 00:54:50 - mmengine - INFO - Epoch(train) [147][1280/1879] lr: 4.8811e-02 eta: 1 day, 5:08:29 time: 0.4972 data_time: 0.0319 memory: 18108 grad_norm: 3.7163 loss: 3.8283 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2161 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.6123 2023/02/02 00:55:01 - mmengine - INFO - Epoch(train) [147][1300/1879] lr: 4.8803e-02 eta: 1 day, 5:08:19 time: 0.5056 data_time: 0.0341 memory: 18108 grad_norm: 3.8121 loss: 4.0129 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3388 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6741 2023/02/02 00:55:11 - mmengine - INFO - Epoch(train) [147][1320/1879] lr: 4.8796e-02 eta: 1 day, 5:08:09 time: 0.5093 data_time: 0.0337 memory: 18108 grad_norm: 3.7789 loss: 3.8252 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.2067 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.6184 2023/02/02 00:55:21 - mmengine - INFO - Epoch(train) [147][1340/1879] lr: 4.8788e-02 eta: 1 day, 5:07:59 time: 0.5012 data_time: 0.0345 memory: 18108 grad_norm: 3.6831 loss: 4.0698 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3842 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.6855 2023/02/02 00:55:31 - mmengine - INFO - Epoch(train) [147][1360/1879] lr: 4.8781e-02 eta: 1 day, 5:07:48 time: 0.4965 data_time: 0.0342 memory: 18108 grad_norm: 3.6913 loss: 3.7925 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.1397 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.6528 2023/02/02 00:55:41 - mmengine - INFO - Epoch(train) [147][1380/1879] lr: 4.8773e-02 eta: 1 day, 5:07:38 time: 0.5130 data_time: 0.0331 memory: 18108 grad_norm: 3.7061 loss: 3.8554 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3048 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.5506 2023/02/02 00:55:51 - mmengine - INFO - Epoch(train) [147][1400/1879] lr: 4.8766e-02 eta: 1 day, 5:07:28 time: 0.5014 data_time: 0.0329 memory: 18108 grad_norm: 3.6696 loss: 3.6822 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0666 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.6156 2023/02/02 00:56:01 - mmengine - INFO - Epoch(train) [147][1420/1879] lr: 4.8758e-02 eta: 1 day, 5:07:17 time: 0.5047 data_time: 0.0361 memory: 18108 grad_norm: 3.6086 loss: 3.8505 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.2721 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.5785 2023/02/02 00:56:11 - mmengine - INFO - Epoch(train) [147][1440/1879] lr: 4.8751e-02 eta: 1 day, 5:07:07 time: 0.4941 data_time: 0.0332 memory: 18108 grad_norm: 3.7520 loss: 4.0184 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4030 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.6155 2023/02/02 00:56:21 - mmengine - INFO - Epoch(train) [147][1460/1879] lr: 4.8743e-02 eta: 1 day, 5:06:57 time: 0.5075 data_time: 0.0365 memory: 18108 grad_norm: 3.7441 loss: 3.9107 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3005 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6102 2023/02/02 00:56:31 - mmengine - INFO - Epoch(train) [147][1480/1879] lr: 4.8736e-02 eta: 1 day, 5:06:46 time: 0.5102 data_time: 0.0420 memory: 18108 grad_norm: 3.6863 loss: 3.9563 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3025 top1_acc_1: 0.5412 top5_acc_1: 0.8471 loss_cls_1: 1.6538 2023/02/02 00:56:41 - mmengine - INFO - Epoch(train) [147][1500/1879] lr: 4.8728e-02 eta: 1 day, 5:06:36 time: 0.5001 data_time: 0.0339 memory: 18108 grad_norm: 3.6329 loss: 3.8491 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2479 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6013 2023/02/02 00:56:52 - mmengine - INFO - Epoch(train) [147][1520/1879] lr: 4.8721e-02 eta: 1 day, 5:06:26 time: 0.5026 data_time: 0.0315 memory: 18108 grad_norm: 3.6827 loss: 3.6950 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1311 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.5639 2023/02/02 00:57:02 - mmengine - INFO - Epoch(train) [147][1540/1879] lr: 4.8713e-02 eta: 1 day, 5:06:15 time: 0.5067 data_time: 0.0325 memory: 18108 grad_norm: 3.7323 loss: 3.9298 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3353 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.5945 2023/02/02 00:57:12 - mmengine - INFO - Epoch(train) [147][1560/1879] lr: 4.8706e-02 eta: 1 day, 5:06:05 time: 0.5091 data_time: 0.0398 memory: 18108 grad_norm: 3.7386 loss: 4.1103 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4334 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.6769 2023/02/02 00:57:22 - mmengine - INFO - Epoch(train) [147][1580/1879] lr: 4.8698e-02 eta: 1 day, 5:05:55 time: 0.4988 data_time: 0.0347 memory: 18108 grad_norm: 3.6760 loss: 3.8707 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2093 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.6614 2023/02/02 00:57:32 - mmengine - INFO - Epoch(train) [147][1600/1879] lr: 4.8690e-02 eta: 1 day, 5:05:44 time: 0.4983 data_time: 0.0334 memory: 18108 grad_norm: 3.6250 loss: 3.8833 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2385 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.6448 2023/02/02 00:57:42 - mmengine - INFO - Epoch(train) [147][1620/1879] lr: 4.8683e-02 eta: 1 day, 5:05:34 time: 0.5094 data_time: 0.0403 memory: 18108 grad_norm: 3.7007 loss: 3.8926 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2417 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.6510 2023/02/02 00:57:52 - mmengine - INFO - Epoch(train) [147][1640/1879] lr: 4.8675e-02 eta: 1 day, 5:05:24 time: 0.5007 data_time: 0.0333 memory: 18108 grad_norm: 3.8030 loss: 3.8924 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2503 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.6421 2023/02/02 00:58:02 - mmengine - INFO - Epoch(train) [147][1660/1879] lr: 4.8668e-02 eta: 1 day, 5:05:13 time: 0.5062 data_time: 0.0346 memory: 18108 grad_norm: 3.7397 loss: 3.8631 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2216 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.6415 2023/02/02 00:58:06 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 00:58:12 - mmengine - INFO - Epoch(train) [147][1680/1879] lr: 4.8660e-02 eta: 1 day, 5:05:03 time: 0.5067 data_time: 0.0318 memory: 18108 grad_norm: 3.6647 loss: 3.9128 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.3649 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5479 2023/02/02 00:58:23 - mmengine - INFO - Epoch(train) [147][1700/1879] lr: 4.8653e-02 eta: 1 day, 5:04:53 time: 0.5324 data_time: 0.0494 memory: 18108 grad_norm: 3.7360 loss: 4.0425 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.3590 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.6834 2023/02/02 00:58:33 - mmengine - INFO - Epoch(train) [147][1720/1879] lr: 4.8645e-02 eta: 1 day, 5:04:43 time: 0.5105 data_time: 0.0320 memory: 18108 grad_norm: 3.6835 loss: 4.0391 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4299 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.6092 2023/02/02 00:58:43 - mmengine - INFO - Epoch(train) [147][1740/1879] lr: 4.8638e-02 eta: 1 day, 5:04:33 time: 0.5049 data_time: 0.0358 memory: 18108 grad_norm: 3.7059 loss: 3.8611 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2476 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.6135 2023/02/02 00:58:54 - mmengine - INFO - Epoch(train) [147][1760/1879] lr: 4.8630e-02 eta: 1 day, 5:04:23 time: 0.5056 data_time: 0.0389 memory: 18108 grad_norm: 3.7243 loss: 3.7040 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1604 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.5436 2023/02/02 00:59:04 - mmengine - INFO - Epoch(train) [147][1780/1879] lr: 4.8623e-02 eta: 1 day, 5:04:12 time: 0.5230 data_time: 0.0355 memory: 18108 grad_norm: 3.7022 loss: 4.0281 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4271 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.6010 2023/02/02 00:59:14 - mmengine - INFO - Epoch(train) [147][1800/1879] lr: 4.8615e-02 eta: 1 day, 5:04:02 time: 0.5081 data_time: 0.0334 memory: 18108 grad_norm: 3.7189 loss: 4.0690 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4262 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.6428 2023/02/02 00:59:24 - mmengine - INFO - Epoch(train) [147][1820/1879] lr: 4.8608e-02 eta: 1 day, 5:03:52 time: 0.5089 data_time: 0.0353 memory: 18108 grad_norm: 3.6695 loss: 3.9388 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3522 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.5866 2023/02/02 00:59:35 - mmengine - INFO - Epoch(train) [147][1840/1879] lr: 4.8600e-02 eta: 1 day, 5:03:42 time: 0.5228 data_time: 0.0326 memory: 18108 grad_norm: 3.6646 loss: 3.6556 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.0076 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.6480 2023/02/02 00:59:45 - mmengine - INFO - Epoch(train) [147][1860/1879] lr: 4.8593e-02 eta: 1 day, 5:03:32 time: 0.5134 data_time: 0.0334 memory: 18108 grad_norm: 3.6829 loss: 3.8023 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.1388 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.6634 2023/02/02 00:59:55 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 00:59:55 - mmengine - INFO - Epoch(train) [147][1879/1879] lr: 4.8585e-02 eta: 1 day, 5:03:22 time: 0.4880 data_time: 0.0300 memory: 18108 grad_norm: 3.8165 loss: 3.7584 top1_acc_0: 0.5714 top5_acc_0: 0.7143 loss_cls_0: 2.1806 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.5778 2023/02/02 01:00:10 - mmengine - INFO - Epoch(train) [148][ 20/1879] lr: 4.8578e-02 eta: 1 day, 5:03:15 time: 0.7227 data_time: 0.2582 memory: 18108 grad_norm: 3.6945 loss: 4.1498 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.5342 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6156 2023/02/02 01:00:19 - mmengine - INFO - Epoch(train) [148][ 40/1879] lr: 4.8570e-02 eta: 1 day, 5:03:04 time: 0.4732 data_time: 0.0333 memory: 18108 grad_norm: 3.6578 loss: 3.7194 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1233 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.5962 2023/02/02 01:00:29 - mmengine - INFO - Epoch(train) [148][ 60/1879] lr: 4.8563e-02 eta: 1 day, 5:02:53 time: 0.4895 data_time: 0.0350 memory: 18108 grad_norm: 3.7297 loss: 3.8757 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1914 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.6842 2023/02/02 01:00:39 - mmengine - INFO - Epoch(train) [148][ 80/1879] lr: 4.8555e-02 eta: 1 day, 5:02:43 time: 0.5085 data_time: 0.0431 memory: 18108 grad_norm: 3.6516 loss: 4.0280 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3786 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.6494 2023/02/02 01:00:49 - mmengine - INFO - Epoch(train) [148][ 100/1879] lr: 4.8548e-02 eta: 1 day, 5:02:32 time: 0.4812 data_time: 0.0356 memory: 18108 grad_norm: 3.6139 loss: 3.6514 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0787 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.5728 2023/02/02 01:00:58 - mmengine - INFO - Epoch(train) [148][ 120/1879] lr: 4.8540e-02 eta: 1 day, 5:02:22 time: 0.4765 data_time: 0.0329 memory: 18108 grad_norm: 3.6270 loss: 3.7223 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.1533 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.5690 2023/02/02 01:01:08 - mmengine - INFO - Epoch(train) [148][ 140/1879] lr: 4.8533e-02 eta: 1 day, 5:02:11 time: 0.4981 data_time: 0.0433 memory: 18108 grad_norm: 3.6707 loss: 3.8289 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2437 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.5852 2023/02/02 01:01:18 - mmengine - INFO - Epoch(train) [148][ 160/1879] lr: 4.8525e-02 eta: 1 day, 5:02:01 time: 0.4851 data_time: 0.0353 memory: 18108 grad_norm: 3.6588 loss: 3.8301 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.1510 top1_acc_1: 0.5176 top5_acc_1: 0.7647 loss_cls_1: 1.6792 2023/02/02 01:01:28 - mmengine - INFO - Epoch(train) [148][ 180/1879] lr: 4.8518e-02 eta: 1 day, 5:01:50 time: 0.4852 data_time: 0.0364 memory: 18108 grad_norm: 3.7534 loss: 3.7391 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2044 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.5347 2023/02/02 01:01:38 - mmengine - INFO - Epoch(train) [148][ 200/1879] lr: 4.8510e-02 eta: 1 day, 5:01:40 time: 0.5123 data_time: 0.0334 memory: 18108 grad_norm: 3.7033 loss: 3.6492 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.0672 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.5820 2023/02/02 01:01:48 - mmengine - INFO - Epoch(train) [148][ 220/1879] lr: 4.8503e-02 eta: 1 day, 5:01:30 time: 0.4991 data_time: 0.0348 memory: 18108 grad_norm: 3.7380 loss: 3.8304 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1836 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.6468 2023/02/02 01:01:58 - mmengine - INFO - Epoch(train) [148][ 240/1879] lr: 4.8495e-02 eta: 1 day, 5:01:19 time: 0.4898 data_time: 0.0333 memory: 18108 grad_norm: 3.6432 loss: 3.4339 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 1.8759 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.5580 2023/02/02 01:02:08 - mmengine - INFO - Epoch(train) [148][ 260/1879] lr: 4.8488e-02 eta: 1 day, 5:01:09 time: 0.4994 data_time: 0.0365 memory: 18108 grad_norm: 3.6471 loss: 3.7836 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1683 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.6152 2023/02/02 01:02:18 - mmengine - INFO - Epoch(train) [148][ 280/1879] lr: 4.8480e-02 eta: 1 day, 5:00:58 time: 0.4939 data_time: 0.0350 memory: 18108 grad_norm: 3.6969 loss: 3.7288 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1894 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.5394 2023/02/02 01:02:28 - mmengine - INFO - Epoch(train) [148][ 300/1879] lr: 4.8473e-02 eta: 1 day, 5:00:48 time: 0.5060 data_time: 0.0418 memory: 18108 grad_norm: 3.7364 loss: 3.8626 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2731 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.5895 2023/02/02 01:02:38 - mmengine - INFO - Epoch(train) [148][ 320/1879] lr: 4.8465e-02 eta: 1 day, 5:00:37 time: 0.4870 data_time: 0.0332 memory: 18108 grad_norm: 3.8197 loss: 3.9196 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2773 top1_acc_1: 0.5647 top5_acc_1: 0.9059 loss_cls_1: 1.6422 2023/02/02 01:02:48 - mmengine - INFO - Epoch(train) [148][ 340/1879] lr: 4.8457e-02 eta: 1 day, 5:00:27 time: 0.5185 data_time: 0.0342 memory: 18108 grad_norm: 3.7159 loss: 4.1063 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.5096 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.5966 2023/02/02 01:02:58 - mmengine - INFO - Epoch(train) [148][ 360/1879] lr: 4.8450e-02 eta: 1 day, 5:00:17 time: 0.4995 data_time: 0.0359 memory: 18108 grad_norm: 3.7781 loss: 3.9267 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3231 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.6036 2023/02/02 01:03:08 - mmengine - INFO - Epoch(train) [148][ 380/1879] lr: 4.8442e-02 eta: 1 day, 5:00:07 time: 0.5033 data_time: 0.0303 memory: 18108 grad_norm: 3.6662 loss: 3.7248 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1096 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.6152 2023/02/02 01:03:18 - mmengine - INFO - Epoch(train) [148][ 400/1879] lr: 4.8435e-02 eta: 1 day, 4:59:56 time: 0.5142 data_time: 0.0380 memory: 18108 grad_norm: 3.6835 loss: 3.6409 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0392 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.6018 2023/02/02 01:03:29 - mmengine - INFO - Epoch(train) [148][ 420/1879] lr: 4.8427e-02 eta: 1 day, 4:59:46 time: 0.5140 data_time: 0.0376 memory: 18108 grad_norm: 3.7168 loss: 3.9813 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3687 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.6126 2023/02/02 01:03:39 - mmengine - INFO - Epoch(train) [148][ 440/1879] lr: 4.8420e-02 eta: 1 day, 4:59:36 time: 0.5038 data_time: 0.0385 memory: 18108 grad_norm: 3.6428 loss: 3.8685 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3124 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.5561 2023/02/02 01:03:49 - mmengine - INFO - Epoch(train) [148][ 460/1879] lr: 4.8412e-02 eta: 1 day, 4:59:26 time: 0.5097 data_time: 0.0324 memory: 18108 grad_norm: 3.6805 loss: 3.6134 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0215 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5920 2023/02/02 01:03:59 - mmengine - INFO - Epoch(train) [148][ 480/1879] lr: 4.8405e-02 eta: 1 day, 4:59:16 time: 0.5222 data_time: 0.0315 memory: 18108 grad_norm: 3.6969 loss: 3.8347 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2824 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5523 2023/02/02 01:04:10 - mmengine - INFO - Epoch(train) [148][ 500/1879] lr: 4.8397e-02 eta: 1 day, 4:59:05 time: 0.5108 data_time: 0.0341 memory: 18108 grad_norm: 3.6967 loss: 3.6154 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9550 top1_acc_1: 0.5059 top5_acc_1: 0.7765 loss_cls_1: 1.6604 2023/02/02 01:04:20 - mmengine - INFO - Epoch(train) [148][ 520/1879] lr: 4.8390e-02 eta: 1 day, 4:58:55 time: 0.5176 data_time: 0.0310 memory: 18108 grad_norm: 3.7476 loss: 4.0673 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3011 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.7662 2023/02/02 01:04:31 - mmengine - INFO - Epoch(train) [148][ 540/1879] lr: 4.8382e-02 eta: 1 day, 4:58:45 time: 0.5242 data_time: 0.0324 memory: 18108 grad_norm: 3.7185 loss: 3.8537 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2497 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.6040 2023/02/02 01:04:41 - mmengine - INFO - Epoch(train) [148][ 560/1879] lr: 4.8375e-02 eta: 1 day, 4:58:35 time: 0.5218 data_time: 0.0391 memory: 18108 grad_norm: 3.7334 loss: 3.9539 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3366 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.6173 2023/02/02 01:04:51 - mmengine - INFO - Epoch(train) [148][ 580/1879] lr: 4.8367e-02 eta: 1 day, 4:58:25 time: 0.5131 data_time: 0.0326 memory: 18108 grad_norm: 3.7007 loss: 4.0563 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4331 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.6233 2023/02/02 01:05:02 - mmengine - INFO - Epoch(train) [148][ 600/1879] lr: 4.8360e-02 eta: 1 day, 4:58:15 time: 0.5204 data_time: 0.0336 memory: 18108 grad_norm: 3.6640 loss: 3.7534 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1273 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.6261 2023/02/02 01:05:12 - mmengine - INFO - Epoch(train) [148][ 620/1879] lr: 4.8352e-02 eta: 1 day, 4:58:05 time: 0.5276 data_time: 0.0394 memory: 18108 grad_norm: 3.6449 loss: 3.7726 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1835 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.5891 2023/02/02 01:05:22 - mmengine - INFO - Epoch(train) [148][ 640/1879] lr: 4.8345e-02 eta: 1 day, 4:57:55 time: 0.5081 data_time: 0.0327 memory: 18108 grad_norm: 3.6713 loss: 3.8990 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2532 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.6458 2023/02/02 01:05:33 - mmengine - INFO - Epoch(train) [148][ 660/1879] lr: 4.8337e-02 eta: 1 day, 4:57:45 time: 0.5249 data_time: 0.0339 memory: 18108 grad_norm: 3.7190 loss: 3.7389 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1562 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5828 2023/02/02 01:05:43 - mmengine - INFO - Epoch(train) [148][ 680/1879] lr: 4.8329e-02 eta: 1 day, 4:57:35 time: 0.5134 data_time: 0.0354 memory: 18108 grad_norm: 3.7754 loss: 3.8417 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2848 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.5570 2023/02/02 01:05:54 - mmengine - INFO - Epoch(train) [148][ 700/1879] lr: 4.8322e-02 eta: 1 day, 4:57:25 time: 0.5296 data_time: 0.0358 memory: 18108 grad_norm: 3.7196 loss: 3.7818 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.2728 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.5089 2023/02/02 01:06:04 - mmengine - INFO - Epoch(train) [148][ 720/1879] lr: 4.8314e-02 eta: 1 day, 4:57:14 time: 0.5082 data_time: 0.0346 memory: 18108 grad_norm: 3.7670 loss: 3.7918 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1493 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.6425 2023/02/02 01:06:14 - mmengine - INFO - Epoch(train) [148][ 740/1879] lr: 4.8307e-02 eta: 1 day, 4:57:04 time: 0.5057 data_time: 0.0330 memory: 18108 grad_norm: 3.7176 loss: 3.7838 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1832 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.6006 2023/02/02 01:06:24 - mmengine - INFO - Epoch(train) [148][ 760/1879] lr: 4.8299e-02 eta: 1 day, 4:56:54 time: 0.5103 data_time: 0.0344 memory: 18108 grad_norm: 3.7313 loss: 3.8929 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2996 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.5933 2023/02/02 01:06:35 - mmengine - INFO - Epoch(train) [148][ 780/1879] lr: 4.8292e-02 eta: 1 day, 4:56:44 time: 0.5161 data_time: 0.0342 memory: 18108 grad_norm: 3.6489 loss: 3.9977 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3429 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.6548 2023/02/02 01:06:38 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 01:06:45 - mmengine - INFO - Epoch(train) [148][ 800/1879] lr: 4.8284e-02 eta: 1 day, 4:56:34 time: 0.5126 data_time: 0.0328 memory: 18108 grad_norm: 3.8146 loss: 3.8599 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2478 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.6121 2023/02/02 01:06:56 - mmengine - INFO - Epoch(train) [148][ 820/1879] lr: 4.8277e-02 eta: 1 day, 4:56:24 time: 0.5283 data_time: 0.0417 memory: 18108 grad_norm: 3.6886 loss: 4.0098 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3087 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.7011 2023/02/02 01:07:06 - mmengine - INFO - Epoch(train) [148][ 840/1879] lr: 4.8269e-02 eta: 1 day, 4:56:13 time: 0.5006 data_time: 0.0323 memory: 18108 grad_norm: 3.7791 loss: 4.0413 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.4119 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.6294 2023/02/02 01:07:16 - mmengine - INFO - Epoch(train) [148][ 860/1879] lr: 4.8262e-02 eta: 1 day, 4:56:03 time: 0.5211 data_time: 0.0347 memory: 18108 grad_norm: 3.6076 loss: 3.9756 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.3199 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.6557 2023/02/02 01:07:26 - mmengine - INFO - Epoch(train) [148][ 880/1879] lr: 4.8254e-02 eta: 1 day, 4:55:53 time: 0.5132 data_time: 0.0327 memory: 18108 grad_norm: 3.6626 loss: 4.1171 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3854 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.7317 2023/02/02 01:07:37 - mmengine - INFO - Epoch(train) [148][ 900/1879] lr: 4.8247e-02 eta: 1 day, 4:55:43 time: 0.5104 data_time: 0.0361 memory: 18108 grad_norm: 3.7072 loss: 3.8044 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2567 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.5477 2023/02/02 01:07:47 - mmengine - INFO - Epoch(train) [148][ 920/1879] lr: 4.8239e-02 eta: 1 day, 4:55:33 time: 0.5099 data_time: 0.0324 memory: 18108 grad_norm: 3.7569 loss: 3.8735 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2532 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.6204 2023/02/02 01:07:57 - mmengine - INFO - Epoch(train) [148][ 940/1879] lr: 4.8232e-02 eta: 1 day, 4:55:22 time: 0.5011 data_time: 0.0351 memory: 18108 grad_norm: 3.7295 loss: 3.8042 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1542 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.6500 2023/02/02 01:08:07 - mmengine - INFO - Epoch(train) [148][ 960/1879] lr: 4.8224e-02 eta: 1 day, 4:55:12 time: 0.5229 data_time: 0.0379 memory: 18108 grad_norm: 3.7037 loss: 3.8856 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2571 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.6286 2023/02/02 01:08:18 - mmengine - INFO - Epoch(train) [148][ 980/1879] lr: 4.8217e-02 eta: 1 day, 4:55:02 time: 0.5130 data_time: 0.0346 memory: 18108 grad_norm: 3.7931 loss: 4.0443 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4277 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.6167 2023/02/02 01:08:28 - mmengine - INFO - Epoch(train) [148][1000/1879] lr: 4.8209e-02 eta: 1 day, 4:54:52 time: 0.5000 data_time: 0.0329 memory: 18108 grad_norm: 3.8370 loss: 4.0945 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.5179 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.5766 2023/02/02 01:08:38 - mmengine - INFO - Epoch(train) [148][1020/1879] lr: 4.8202e-02 eta: 1 day, 4:54:41 time: 0.5122 data_time: 0.0343 memory: 18108 grad_norm: 3.6933 loss: 3.8410 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2647 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.5763 2023/02/02 01:08:48 - mmengine - INFO - Epoch(train) [148][1040/1879] lr: 4.8194e-02 eta: 1 day, 4:54:31 time: 0.5065 data_time: 0.0394 memory: 18108 grad_norm: 3.7524 loss: 3.9492 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.2493 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.6998 2023/02/02 01:08:58 - mmengine - INFO - Epoch(train) [148][1060/1879] lr: 4.8186e-02 eta: 1 day, 4:54:21 time: 0.5187 data_time: 0.0358 memory: 18108 grad_norm: 3.7030 loss: 4.0377 top1_acc_0: 0.5625 top5_acc_0: 1.0000 loss_cls_0: 2.4200 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.6177 2023/02/02 01:09:08 - mmengine - INFO - Epoch(train) [148][1080/1879] lr: 4.8179e-02 eta: 1 day, 4:54:11 time: 0.4936 data_time: 0.0327 memory: 18108 grad_norm: 3.6608 loss: 3.9448 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3017 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6431 2023/02/02 01:09:19 - mmengine - INFO - Epoch(train) [148][1100/1879] lr: 4.8171e-02 eta: 1 day, 4:54:01 time: 0.5267 data_time: 0.0431 memory: 18108 grad_norm: 3.7017 loss: 3.8694 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2250 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.6444 2023/02/02 01:09:29 - mmengine - INFO - Epoch(train) [148][1120/1879] lr: 4.8164e-02 eta: 1 day, 4:53:50 time: 0.5055 data_time: 0.0316 memory: 18108 grad_norm: 3.6952 loss: 3.8122 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1765 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.6357 2023/02/02 01:09:39 - mmengine - INFO - Epoch(train) [148][1140/1879] lr: 4.8156e-02 eta: 1 day, 4:53:40 time: 0.5043 data_time: 0.0368 memory: 18108 grad_norm: 3.7092 loss: 3.8238 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.2629 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.5609 2023/02/02 01:09:49 - mmengine - INFO - Epoch(train) [148][1160/1879] lr: 4.8149e-02 eta: 1 day, 4:53:30 time: 0.4960 data_time: 0.0317 memory: 18108 grad_norm: 3.7494 loss: 3.9278 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 2.2471 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 1.6807 2023/02/02 01:09:59 - mmengine - INFO - Epoch(train) [148][1180/1879] lr: 4.8141e-02 eta: 1 day, 4:53:19 time: 0.5174 data_time: 0.0430 memory: 18108 grad_norm: 3.6812 loss: 3.5382 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0086 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.5296 2023/02/02 01:10:09 - mmengine - INFO - Epoch(train) [148][1200/1879] lr: 4.8134e-02 eta: 1 day, 4:53:09 time: 0.4966 data_time: 0.0313 memory: 18108 grad_norm: 3.7462 loss: 3.7902 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1206 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.6696 2023/02/02 01:10:20 - mmengine - INFO - Epoch(train) [148][1220/1879] lr: 4.8126e-02 eta: 1 day, 4:52:59 time: 0.5087 data_time: 0.0365 memory: 18108 grad_norm: 3.7217 loss: 3.8643 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.2529 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.6114 2023/02/02 01:10:30 - mmengine - INFO - Epoch(train) [148][1240/1879] lr: 4.8119e-02 eta: 1 day, 4:52:49 time: 0.5042 data_time: 0.0319 memory: 18108 grad_norm: 3.7338 loss: 3.7427 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1955 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.5472 2023/02/02 01:10:40 - mmengine - INFO - Epoch(train) [148][1260/1879] lr: 4.8111e-02 eta: 1 day, 4:52:38 time: 0.5018 data_time: 0.0345 memory: 18108 grad_norm: 3.7099 loss: 3.8616 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3195 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5421 2023/02/02 01:10:50 - mmengine - INFO - Epoch(train) [148][1280/1879] lr: 4.8104e-02 eta: 1 day, 4:52:28 time: 0.4989 data_time: 0.0321 memory: 18108 grad_norm: 3.7341 loss: 3.9948 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.3944 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6004 2023/02/02 01:11:00 - mmengine - INFO - Epoch(train) [148][1300/1879] lr: 4.8096e-02 eta: 1 day, 4:52:18 time: 0.5124 data_time: 0.0411 memory: 18108 grad_norm: 3.6993 loss: 3.8585 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.2651 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.5933 2023/02/02 01:11:10 - mmengine - INFO - Epoch(train) [148][1320/1879] lr: 4.8089e-02 eta: 1 day, 4:52:07 time: 0.5037 data_time: 0.0361 memory: 18108 grad_norm: 3.6945 loss: 3.9413 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3025 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.6388 2023/02/02 01:11:20 - mmengine - INFO - Epoch(train) [148][1340/1879] lr: 4.8081e-02 eta: 1 day, 4:51:57 time: 0.5013 data_time: 0.0325 memory: 18108 grad_norm: 3.7225 loss: 3.5951 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9315 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.6637 2023/02/02 01:11:30 - mmengine - INFO - Epoch(train) [148][1360/1879] lr: 4.8074e-02 eta: 1 day, 4:51:47 time: 0.5173 data_time: 0.0434 memory: 18108 grad_norm: 3.7621 loss: 4.0433 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3376 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.7057 2023/02/02 01:11:41 - mmengine - INFO - Epoch(train) [148][1380/1879] lr: 4.8066e-02 eta: 1 day, 4:51:37 time: 0.5218 data_time: 0.0302 memory: 18108 grad_norm: 3.7658 loss: 3.7943 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2383 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.5560 2023/02/02 01:11:51 - mmengine - INFO - Epoch(train) [148][1400/1879] lr: 4.8059e-02 eta: 1 day, 4:51:27 time: 0.5207 data_time: 0.0378 memory: 18108 grad_norm: 3.6958 loss: 3.9861 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2826 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.7035 2023/02/02 01:12:02 - mmengine - INFO - Epoch(train) [148][1420/1879] lr: 4.8051e-02 eta: 1 day, 4:51:17 time: 0.5292 data_time: 0.0369 memory: 18108 grad_norm: 3.7156 loss: 3.8872 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2333 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.6538 2023/02/02 01:12:12 - mmengine - INFO - Epoch(train) [148][1440/1879] lr: 4.8043e-02 eta: 1 day, 4:51:07 time: 0.5211 data_time: 0.0333 memory: 18108 grad_norm: 3.7028 loss: 3.7927 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.2127 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5800 2023/02/02 01:12:23 - mmengine - INFO - Epoch(train) [148][1460/1879] lr: 4.8036e-02 eta: 1 day, 4:50:57 time: 0.5255 data_time: 0.0313 memory: 18108 grad_norm: 3.7512 loss: 3.7304 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0847 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.6457 2023/02/02 01:12:33 - mmengine - INFO - Epoch(train) [148][1480/1879] lr: 4.8028e-02 eta: 1 day, 4:50:46 time: 0.5038 data_time: 0.0329 memory: 18108 grad_norm: 3.7417 loss: 4.0097 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.3672 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.6425 2023/02/02 01:12:43 - mmengine - INFO - Epoch(train) [148][1500/1879] lr: 4.8021e-02 eta: 1 day, 4:50:36 time: 0.5005 data_time: 0.0316 memory: 18108 grad_norm: 3.7102 loss: 3.7685 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.1591 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.6094 2023/02/02 01:12:53 - mmengine - INFO - Epoch(train) [148][1520/1879] lr: 4.8013e-02 eta: 1 day, 4:50:26 time: 0.5112 data_time: 0.0354 memory: 18108 grad_norm: 3.6304 loss: 3.9993 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4385 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.5608 2023/02/02 01:13:03 - mmengine - INFO - Epoch(train) [148][1540/1879] lr: 4.8006e-02 eta: 1 day, 4:50:15 time: 0.5005 data_time: 0.0339 memory: 18108 grad_norm: 3.6817 loss: 4.0123 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3051 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.7072 2023/02/02 01:13:14 - mmengine - INFO - Epoch(train) [148][1560/1879] lr: 4.7998e-02 eta: 1 day, 4:50:05 time: 0.5119 data_time: 0.0373 memory: 18108 grad_norm: 3.6974 loss: 3.9705 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3020 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.6686 2023/02/02 01:13:24 - mmengine - INFO - Epoch(train) [148][1580/1879] lr: 4.7991e-02 eta: 1 day, 4:49:55 time: 0.5349 data_time: 0.0324 memory: 18108 grad_norm: 3.7157 loss: 3.9521 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3043 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6478 2023/02/02 01:13:35 - mmengine - INFO - Epoch(train) [148][1600/1879] lr: 4.7983e-02 eta: 1 day, 4:49:45 time: 0.5108 data_time: 0.0333 memory: 18108 grad_norm: 3.6779 loss: 3.8735 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.3056 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.5679 2023/02/02 01:13:45 - mmengine - INFO - Epoch(train) [148][1620/1879] lr: 4.7976e-02 eta: 1 day, 4:49:35 time: 0.4988 data_time: 0.0358 memory: 18108 grad_norm: 3.6967 loss: 3.7867 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1251 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.6616 2023/02/02 01:13:55 - mmengine - INFO - Epoch(train) [148][1640/1879] lr: 4.7968e-02 eta: 1 day, 4:49:24 time: 0.5019 data_time: 0.0345 memory: 18108 grad_norm: 3.6831 loss: 3.8064 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1328 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.6736 2023/02/02 01:14:05 - mmengine - INFO - Epoch(train) [148][1660/1879] lr: 4.7961e-02 eta: 1 day, 4:49:14 time: 0.5184 data_time: 0.0308 memory: 18108 grad_norm: 3.7395 loss: 3.8964 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3255 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.5709 2023/02/02 01:14:15 - mmengine - INFO - Epoch(train) [148][1680/1879] lr: 4.7953e-02 eta: 1 day, 4:49:04 time: 0.5110 data_time: 0.0361 memory: 18108 grad_norm: 3.7730 loss: 3.9464 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3476 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.5988 2023/02/02 01:14:25 - mmengine - INFO - Epoch(train) [148][1700/1879] lr: 4.7946e-02 eta: 1 day, 4:48:54 time: 0.5062 data_time: 0.0453 memory: 18108 grad_norm: 3.7552 loss: 3.8462 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3005 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.5456 2023/02/02 01:14:36 - mmengine - INFO - Epoch(train) [148][1720/1879] lr: 4.7938e-02 eta: 1 day, 4:48:44 time: 0.5315 data_time: 0.0349 memory: 18108 grad_norm: 3.6802 loss: 3.7524 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0946 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.6578 2023/02/02 01:14:46 - mmengine - INFO - Epoch(train) [148][1740/1879] lr: 4.7931e-02 eta: 1 day, 4:48:34 time: 0.5051 data_time: 0.0320 memory: 18108 grad_norm: 3.6908 loss: 3.8920 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3169 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.5751 2023/02/02 01:14:57 - mmengine - INFO - Epoch(train) [148][1760/1879] lr: 4.7923e-02 eta: 1 day, 4:48:24 time: 0.5291 data_time: 0.0415 memory: 18108 grad_norm: 3.6892 loss: 3.7867 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.2159 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.5708 2023/02/02 01:15:07 - mmengine - INFO - Epoch(train) [148][1780/1879] lr: 4.7916e-02 eta: 1 day, 4:48:13 time: 0.5024 data_time: 0.0311 memory: 18108 grad_norm: 3.8166 loss: 4.0136 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3358 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.6778 2023/02/02 01:15:10 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 01:15:17 - mmengine - INFO - Epoch(train) [148][1800/1879] lr: 4.7908e-02 eta: 1 day, 4:48:03 time: 0.5250 data_time: 0.0358 memory: 18108 grad_norm: 3.6695 loss: 3.8845 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2973 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.5871 2023/02/02 01:15:27 - mmengine - INFO - Epoch(train) [148][1820/1879] lr: 4.7901e-02 eta: 1 day, 4:47:53 time: 0.4957 data_time: 0.0317 memory: 18108 grad_norm: 3.7166 loss: 3.6491 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.0173 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.6318 2023/02/02 01:15:37 - mmengine - INFO - Epoch(train) [148][1840/1879] lr: 4.7893e-02 eta: 1 day, 4:47:43 time: 0.5109 data_time: 0.0446 memory: 18108 grad_norm: 3.7112 loss: 4.1365 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4849 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.6516 2023/02/02 01:15:48 - mmengine - INFO - Epoch(train) [148][1860/1879] lr: 4.7885e-02 eta: 1 day, 4:47:33 time: 0.5243 data_time: 0.0323 memory: 18108 grad_norm: 3.7579 loss: 4.0621 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3483 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.7139 2023/02/02 01:15:57 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 01:15:57 - mmengine - INFO - Epoch(train) [148][1879/1879] lr: 4.7878e-02 eta: 1 day, 4:47:23 time: 0.4986 data_time: 0.0296 memory: 18108 grad_norm: 3.8084 loss: 3.7658 top1_acc_0: 0.5714 top5_acc_0: 0.7143 loss_cls_0: 2.1632 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.6027 2023/02/02 01:15:58 - mmengine - INFO - Saving checkpoint at 148 epochs 2023/02/02 01:16:09 - mmengine - INFO - Epoch(val) [148][ 20/155] eta: 0:01:01 time: 0.4573 data_time: 0.3451 memory: 1906 2023/02/02 01:16:18 - mmengine - INFO - Epoch(val) [148][ 40/155] eta: 0:00:51 time: 0.4462 data_time: 0.3340 memory: 1906 2023/02/02 01:16:26 - mmengine - INFO - Epoch(val) [148][ 60/155] eta: 0:00:42 time: 0.4276 data_time: 0.3165 memory: 1906 2023/02/02 01:16:35 - mmengine - INFO - Epoch(val) [148][ 80/155] eta: 0:00:33 time: 0.4559 data_time: 0.3449 memory: 1906 2023/02/02 01:16:44 - mmengine - INFO - Epoch(val) [148][100/155] eta: 0:00:24 time: 0.4444 data_time: 0.3333 memory: 1906 2023/02/02 01:16:54 - mmengine - INFO - Epoch(val) [148][120/155] eta: 0:00:15 time: 0.4619 data_time: 0.3514 memory: 1906 2023/02/02 01:17:02 - mmengine - INFO - Epoch(val) [148][140/155] eta: 0:00:06 time: 0.4397 data_time: 0.3282 memory: 1906 2023/02/02 01:17:10 - mmengine - INFO - Epoch(val) [148][155/155] acc/top1: 0.5121 acc/top5: 0.7526 acc/mean1: 0.5119 2023/02/02 01:17:24 - mmengine - INFO - Epoch(train) [149][ 20/1879] lr: 4.7871e-02 eta: 1 day, 4:47:16 time: 0.7208 data_time: 0.2603 memory: 18108 grad_norm: 3.7234 loss: 3.7890 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.2685 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.5206 2023/02/02 01:17:34 - mmengine - INFO - Epoch(train) [149][ 40/1879] lr: 4.7863e-02 eta: 1 day, 4:47:05 time: 0.4769 data_time: 0.0333 memory: 18108 grad_norm: 3.6938 loss: 3.6676 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.0524 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.6152 2023/02/02 01:17:44 - mmengine - INFO - Epoch(train) [149][ 60/1879] lr: 4.7856e-02 eta: 1 day, 4:46:54 time: 0.4759 data_time: 0.0351 memory: 18108 grad_norm: 3.6986 loss: 3.8805 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3221 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.5584 2023/02/02 01:17:54 - mmengine - INFO - Epoch(train) [149][ 80/1879] lr: 4.7848e-02 eta: 1 day, 4:46:44 time: 0.5477 data_time: 0.0572 memory: 18108 grad_norm: 3.6681 loss: 3.9592 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4189 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.5403 2023/02/02 01:18:04 - mmengine - INFO - Epoch(train) [149][ 100/1879] lr: 4.7841e-02 eta: 1 day, 4:46:34 time: 0.4753 data_time: 0.0360 memory: 18108 grad_norm: 3.6427 loss: 3.4959 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9059 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.5900 2023/02/02 01:18:13 - mmengine - INFO - Epoch(train) [149][ 120/1879] lr: 4.7833e-02 eta: 1 day, 4:46:23 time: 0.4710 data_time: 0.0347 memory: 18108 grad_norm: 3.7570 loss: 3.7141 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2067 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.5074 2023/02/02 01:18:23 - mmengine - INFO - Epoch(train) [149][ 140/1879] lr: 4.7826e-02 eta: 1 day, 4:46:12 time: 0.4927 data_time: 0.0365 memory: 18108 grad_norm: 3.7955 loss: 4.0250 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3412 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.6838 2023/02/02 01:18:34 - mmengine - INFO - Epoch(train) [149][ 160/1879] lr: 4.7818e-02 eta: 1 day, 4:46:02 time: 0.5075 data_time: 0.0330 memory: 18108 grad_norm: 3.7381 loss: 3.6565 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.0626 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.5939 2023/02/02 01:18:43 - mmengine - INFO - Epoch(train) [149][ 180/1879] lr: 4.7811e-02 eta: 1 day, 4:45:51 time: 0.4792 data_time: 0.0370 memory: 18108 grad_norm: 3.7968 loss: 3.7402 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.1334 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.6068 2023/02/02 01:18:53 - mmengine - INFO - Epoch(train) [149][ 200/1879] lr: 4.7803e-02 eta: 1 day, 4:45:41 time: 0.4798 data_time: 0.0332 memory: 18108 grad_norm: 3.7807 loss: 3.9553 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4191 top1_acc_1: 0.7412 top5_acc_1: 0.8471 loss_cls_1: 1.5363 2023/02/02 01:19:03 - mmengine - INFO - Epoch(train) [149][ 220/1879] lr: 4.7796e-02 eta: 1 day, 4:45:30 time: 0.5003 data_time: 0.0366 memory: 18108 grad_norm: 3.6923 loss: 3.8553 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1727 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6826 2023/02/02 01:19:13 - mmengine - INFO - Epoch(train) [149][ 240/1879] lr: 4.7788e-02 eta: 1 day, 4:45:20 time: 0.4925 data_time: 0.0420 memory: 18108 grad_norm: 3.7069 loss: 3.8302 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2278 top1_acc_1: 0.5059 top5_acc_1: 0.7882 loss_cls_1: 1.6024 2023/02/02 01:19:22 - mmengine - INFO - Epoch(train) [149][ 260/1879] lr: 4.7781e-02 eta: 1 day, 4:45:09 time: 0.4778 data_time: 0.0360 memory: 18108 grad_norm: 3.7158 loss: 3.6803 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.0840 top1_acc_1: 0.6588 top5_acc_1: 0.7882 loss_cls_1: 1.5963 2023/02/02 01:19:32 - mmengine - INFO - Epoch(train) [149][ 280/1879] lr: 4.7773e-02 eta: 1 day, 4:44:59 time: 0.4766 data_time: 0.0336 memory: 18108 grad_norm: 3.7514 loss: 3.9528 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3533 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.5995 2023/02/02 01:19:42 - mmengine - INFO - Epoch(train) [149][ 300/1879] lr: 4.7765e-02 eta: 1 day, 4:44:48 time: 0.5080 data_time: 0.0438 memory: 18108 grad_norm: 3.8476 loss: 3.4640 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.0378 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.4262 2023/02/02 01:19:51 - mmengine - INFO - Epoch(train) [149][ 320/1879] lr: 4.7758e-02 eta: 1 day, 4:44:38 time: 0.4747 data_time: 0.0328 memory: 18108 grad_norm: 3.7736 loss: 3.8707 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2875 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.5832 2023/02/02 01:20:01 - mmengine - INFO - Epoch(train) [149][ 340/1879] lr: 4.7750e-02 eta: 1 day, 4:44:27 time: 0.4794 data_time: 0.0374 memory: 18108 grad_norm: 3.7814 loss: 3.7132 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1694 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.5438 2023/02/02 01:20:11 - mmengine - INFO - Epoch(train) [149][ 360/1879] lr: 4.7743e-02 eta: 1 day, 4:44:16 time: 0.4878 data_time: 0.0309 memory: 18108 grad_norm: 3.7397 loss: 3.9590 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3852 top1_acc_1: 0.5176 top5_acc_1: 0.8706 loss_cls_1: 1.5737 2023/02/02 01:20:21 - mmengine - INFO - Epoch(train) [149][ 380/1879] lr: 4.7735e-02 eta: 1 day, 4:44:06 time: 0.5187 data_time: 0.0452 memory: 18108 grad_norm: 3.7074 loss: 4.0183 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4078 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6105 2023/02/02 01:20:31 - mmengine - INFO - Epoch(train) [149][ 400/1879] lr: 4.7728e-02 eta: 1 day, 4:43:56 time: 0.4765 data_time: 0.0318 memory: 18108 grad_norm: 3.6769 loss: 3.7023 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2133 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.4889 2023/02/02 01:20:40 - mmengine - INFO - Epoch(train) [149][ 420/1879] lr: 4.7720e-02 eta: 1 day, 4:43:45 time: 0.4816 data_time: 0.0389 memory: 18108 grad_norm: 3.7580 loss: 3.8569 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3215 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.5354 2023/02/02 01:20:50 - mmengine - INFO - Epoch(train) [149][ 440/1879] lr: 4.7713e-02 eta: 1 day, 4:43:34 time: 0.4967 data_time: 0.0299 memory: 18108 grad_norm: 3.7933 loss: 3.7914 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2548 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.5367 2023/02/02 01:21:01 - mmengine - INFO - Epoch(train) [149][ 460/1879] lr: 4.7705e-02 eta: 1 day, 4:43:24 time: 0.5113 data_time: 0.0465 memory: 18108 grad_norm: 3.7074 loss: 3.6119 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0121 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.5999 2023/02/02 01:21:10 - mmengine - INFO - Epoch(train) [149][ 480/1879] lr: 4.7698e-02 eta: 1 day, 4:43:14 time: 0.4825 data_time: 0.0319 memory: 18108 grad_norm: 3.7992 loss: 3.8640 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2780 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.5860 2023/02/02 01:21:20 - mmengine - INFO - Epoch(train) [149][ 500/1879] lr: 4.7690e-02 eta: 1 day, 4:43:03 time: 0.5049 data_time: 0.0359 memory: 18108 grad_norm: 3.7764 loss: 4.0381 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3921 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.6460 2023/02/02 01:21:31 - mmengine - INFO - Epoch(train) [149][ 520/1879] lr: 4.7683e-02 eta: 1 day, 4:42:53 time: 0.5045 data_time: 0.0302 memory: 18108 grad_norm: 3.7441 loss: 3.7522 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.1603 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5919 2023/02/02 01:21:41 - mmengine - INFO - Epoch(train) [149][ 540/1879] lr: 4.7675e-02 eta: 1 day, 4:42:43 time: 0.5123 data_time: 0.0382 memory: 18108 grad_norm: 3.7117 loss: 3.9886 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3780 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.6106 2023/02/02 01:21:51 - mmengine - INFO - Epoch(train) [149][ 560/1879] lr: 4.7668e-02 eta: 1 day, 4:42:32 time: 0.4870 data_time: 0.0323 memory: 18108 grad_norm: 3.7061 loss: 3.9225 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2426 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.6799 2023/02/02 01:22:01 - mmengine - INFO - Epoch(train) [149][ 580/1879] lr: 4.7660e-02 eta: 1 day, 4:42:22 time: 0.5316 data_time: 0.0388 memory: 18108 grad_norm: 3.8097 loss: 3.7991 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.2302 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.5688 2023/02/02 01:22:11 - mmengine - INFO - Epoch(train) [149][ 600/1879] lr: 4.7653e-02 eta: 1 day, 4:42:12 time: 0.4957 data_time: 0.0308 memory: 18108 grad_norm: 3.7862 loss: 3.7463 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.1107 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.6356 2023/02/02 01:22:21 - mmengine - INFO - Epoch(train) [149][ 620/1879] lr: 4.7645e-02 eta: 1 day, 4:42:02 time: 0.4994 data_time: 0.0375 memory: 18108 grad_norm: 3.7820 loss: 3.9168 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2284 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.6885 2023/02/02 01:22:31 - mmengine - INFO - Epoch(train) [149][ 640/1879] lr: 4.7638e-02 eta: 1 day, 4:41:51 time: 0.5093 data_time: 0.0319 memory: 18108 grad_norm: 3.7546 loss: 3.9365 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3340 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.6025 2023/02/02 01:22:42 - mmengine - INFO - Epoch(train) [149][ 660/1879] lr: 4.7630e-02 eta: 1 day, 4:41:41 time: 0.5119 data_time: 0.0358 memory: 18108 grad_norm: 3.7106 loss: 3.8331 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2684 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.5647 2023/02/02 01:22:52 - mmengine - INFO - Epoch(train) [149][ 680/1879] lr: 4.7623e-02 eta: 1 day, 4:41:31 time: 0.5137 data_time: 0.0342 memory: 18108 grad_norm: 3.7042 loss: 3.7702 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1444 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.6259 2023/02/02 01:23:02 - mmengine - INFO - Epoch(train) [149][ 700/1879] lr: 4.7615e-02 eta: 1 day, 4:41:21 time: 0.5117 data_time: 0.0388 memory: 18108 grad_norm: 3.6533 loss: 3.8396 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2684 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.5712 2023/02/02 01:23:12 - mmengine - INFO - Epoch(train) [149][ 720/1879] lr: 4.7607e-02 eta: 1 day, 4:41:10 time: 0.5074 data_time: 0.0286 memory: 18108 grad_norm: 3.7821 loss: 3.7853 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.1797 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.6056 2023/02/02 01:23:23 - mmengine - INFO - Epoch(train) [149][ 740/1879] lr: 4.7600e-02 eta: 1 day, 4:41:00 time: 0.5147 data_time: 0.0468 memory: 18108 grad_norm: 3.7127 loss: 3.9106 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.3171 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5935 2023/02/02 01:23:33 - mmengine - INFO - Epoch(train) [149][ 760/1879] lr: 4.7592e-02 eta: 1 day, 4:40:50 time: 0.5000 data_time: 0.0304 memory: 18108 grad_norm: 3.7512 loss: 3.9299 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3353 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.5945 2023/02/02 01:23:43 - mmengine - INFO - Epoch(train) [149][ 780/1879] lr: 4.7585e-02 eta: 1 day, 4:40:40 time: 0.5092 data_time: 0.0379 memory: 18108 grad_norm: 3.7590 loss: 3.7437 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1489 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.5949 2023/02/02 01:23:53 - mmengine - INFO - Epoch(train) [149][ 800/1879] lr: 4.7577e-02 eta: 1 day, 4:40:30 time: 0.5112 data_time: 0.0423 memory: 18108 grad_norm: 3.7545 loss: 3.6442 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.0532 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.5910 2023/02/02 01:24:03 - mmengine - INFO - Epoch(train) [149][ 820/1879] lr: 4.7570e-02 eta: 1 day, 4:40:19 time: 0.5133 data_time: 0.0389 memory: 18108 grad_norm: 3.7851 loss: 3.7136 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0554 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.6582 2023/02/02 01:24:13 - mmengine - INFO - Epoch(train) [149][ 840/1879] lr: 4.7562e-02 eta: 1 day, 4:40:09 time: 0.5030 data_time: 0.0294 memory: 18108 grad_norm: 3.7275 loss: 3.9648 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4067 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.5580 2023/02/02 01:24:24 - mmengine - INFO - Epoch(train) [149][ 860/1879] lr: 4.7555e-02 eta: 1 day, 4:39:59 time: 0.5208 data_time: 0.0480 memory: 18108 grad_norm: 3.6956 loss: 3.8181 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2426 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.5754 2023/02/02 01:24:34 - mmengine - INFO - Epoch(train) [149][ 880/1879] lr: 4.7547e-02 eta: 1 day, 4:39:49 time: 0.5037 data_time: 0.0308 memory: 18108 grad_norm: 3.7526 loss: 3.7155 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1752 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.5403 2023/02/02 01:24:44 - mmengine - INFO - Epoch(train) [149][ 900/1879] lr: 4.7540e-02 eta: 1 day, 4:39:38 time: 0.5038 data_time: 0.0382 memory: 18108 grad_norm: 3.6815 loss: 3.9462 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3062 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.6400 2023/02/02 01:24:48 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 01:24:54 - mmengine - INFO - Epoch(train) [149][ 920/1879] lr: 4.7532e-02 eta: 1 day, 4:39:28 time: 0.5209 data_time: 0.0387 memory: 18108 grad_norm: 3.7058 loss: 3.5839 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.0384 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.5455 2023/02/02 01:25:04 - mmengine - INFO - Epoch(train) [149][ 940/1879] lr: 4.7525e-02 eta: 1 day, 4:39:18 time: 0.5003 data_time: 0.0382 memory: 18108 grad_norm: 3.7629 loss: 4.1100 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.5096 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.6003 2023/02/02 01:25:15 - mmengine - INFO - Epoch(train) [149][ 960/1879] lr: 4.7517e-02 eta: 1 day, 4:39:08 time: 0.5042 data_time: 0.0319 memory: 18108 grad_norm: 3.8094 loss: 3.9551 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3334 top1_acc_1: 0.6588 top5_acc_1: 0.9176 loss_cls_1: 1.6217 2023/02/02 01:25:25 - mmengine - INFO - Epoch(train) [149][ 980/1879] lr: 4.7510e-02 eta: 1 day, 4:38:57 time: 0.5147 data_time: 0.0397 memory: 18108 grad_norm: 3.7357 loss: 3.7691 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1347 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.6344 2023/02/02 01:25:35 - mmengine - INFO - Epoch(train) [149][1000/1879] lr: 4.7502e-02 eta: 1 day, 4:38:47 time: 0.5171 data_time: 0.0307 memory: 18108 grad_norm: 3.7622 loss: 3.9391 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.3059 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.6331 2023/02/02 01:25:46 - mmengine - INFO - Epoch(train) [149][1020/1879] lr: 4.7495e-02 eta: 1 day, 4:38:37 time: 0.5249 data_time: 0.0406 memory: 18108 grad_norm: 3.6719 loss: 3.9053 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1854 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.7199 2023/02/02 01:25:56 - mmengine - INFO - Epoch(train) [149][1040/1879] lr: 4.7487e-02 eta: 1 day, 4:38:27 time: 0.5149 data_time: 0.0301 memory: 18108 grad_norm: 3.7714 loss: 3.8456 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2463 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5993 2023/02/02 01:26:07 - mmengine - INFO - Epoch(train) [149][1060/1879] lr: 4.7480e-02 eta: 1 day, 4:38:17 time: 0.5325 data_time: 0.0486 memory: 18108 grad_norm: 3.7389 loss: 3.9554 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2538 top1_acc_1: 0.5059 top5_acc_1: 0.7647 loss_cls_1: 1.7016 2023/02/02 01:26:17 - mmengine - INFO - Epoch(train) [149][1080/1879] lr: 4.7472e-02 eta: 1 day, 4:38:07 time: 0.5100 data_time: 0.0297 memory: 18108 grad_norm: 3.7376 loss: 4.0914 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.4215 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.6699 2023/02/02 01:26:28 - mmengine - INFO - Epoch(train) [149][1100/1879] lr: 4.7465e-02 eta: 1 day, 4:37:57 time: 0.5322 data_time: 0.0378 memory: 18108 grad_norm: 3.7630 loss: 3.8926 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.3409 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.5517 2023/02/02 01:26:38 - mmengine - INFO - Epoch(train) [149][1120/1879] lr: 4.7457e-02 eta: 1 day, 4:37:47 time: 0.5291 data_time: 0.0463 memory: 18108 grad_norm: 3.7100 loss: 3.6712 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1178 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.5534 2023/02/02 01:26:48 - mmengine - INFO - Epoch(train) [149][1140/1879] lr: 4.7450e-02 eta: 1 day, 4:37:37 time: 0.5119 data_time: 0.0383 memory: 18108 grad_norm: 3.7521 loss: 4.2028 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.5774 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6254 2023/02/02 01:26:59 - mmengine - INFO - Epoch(train) [149][1160/1879] lr: 4.7442e-02 eta: 1 day, 4:37:27 time: 0.5073 data_time: 0.0335 memory: 18108 grad_norm: 3.7640 loss: 3.8906 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.2860 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.6047 2023/02/02 01:27:09 - mmengine - INFO - Epoch(train) [149][1180/1879] lr: 4.7434e-02 eta: 1 day, 4:37:17 time: 0.5190 data_time: 0.0370 memory: 18108 grad_norm: 3.7827 loss: 3.8590 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.3096 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.5494 2023/02/02 01:27:19 - mmengine - INFO - Epoch(train) [149][1200/1879] lr: 4.7427e-02 eta: 1 day, 4:37:06 time: 0.5168 data_time: 0.0374 memory: 18108 grad_norm: 3.7525 loss: 3.6632 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1077 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5555 2023/02/02 01:27:30 - mmengine - INFO - Epoch(train) [149][1220/1879] lr: 4.7419e-02 eta: 1 day, 4:36:56 time: 0.5135 data_time: 0.0390 memory: 18108 grad_norm: 3.6874 loss: 4.0435 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3897 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.6537 2023/02/02 01:27:40 - mmengine - INFO - Epoch(train) [149][1240/1879] lr: 4.7412e-02 eta: 1 day, 4:36:46 time: 0.5114 data_time: 0.0297 memory: 18108 grad_norm: 3.6820 loss: 3.9860 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3277 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.6583 2023/02/02 01:27:51 - mmengine - INFO - Epoch(train) [149][1260/1879] lr: 4.7404e-02 eta: 1 day, 4:36:36 time: 0.5408 data_time: 0.0479 memory: 18108 grad_norm: 3.7443 loss: 3.9511 top1_acc_0: 0.3750 top5_acc_0: 0.9375 loss_cls_0: 2.3289 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.6223 2023/02/02 01:28:01 - mmengine - INFO - Epoch(train) [149][1280/1879] lr: 4.7397e-02 eta: 1 day, 4:36:26 time: 0.5069 data_time: 0.0312 memory: 18108 grad_norm: 3.7544 loss: 3.8699 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2182 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.6517 2023/02/02 01:28:11 - mmengine - INFO - Epoch(train) [149][1300/1879] lr: 4.7389e-02 eta: 1 day, 4:36:16 time: 0.5147 data_time: 0.0352 memory: 18108 grad_norm: 3.7426 loss: 3.9748 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.2887 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.6861 2023/02/02 01:28:22 - mmengine - INFO - Epoch(train) [149][1320/1879] lr: 4.7382e-02 eta: 1 day, 4:36:06 time: 0.5116 data_time: 0.0288 memory: 18108 grad_norm: 3.7494 loss: 3.8047 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2400 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.5646 2023/02/02 01:28:32 - mmengine - INFO - Epoch(train) [149][1340/1879] lr: 4.7374e-02 eta: 1 day, 4:35:56 time: 0.5134 data_time: 0.0371 memory: 18108 grad_norm: 3.7572 loss: 4.0121 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.4061 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.6060 2023/02/02 01:28:42 - mmengine - INFO - Epoch(train) [149][1360/1879] lr: 4.7367e-02 eta: 1 day, 4:35:45 time: 0.5047 data_time: 0.0287 memory: 18108 grad_norm: 3.6640 loss: 3.8488 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2496 top1_acc_1: 0.6824 top5_acc_1: 0.8118 loss_cls_1: 1.5992 2023/02/02 01:28:52 - mmengine - INFO - Epoch(train) [149][1380/1879] lr: 4.7359e-02 eta: 1 day, 4:35:35 time: 0.5087 data_time: 0.0400 memory: 18108 grad_norm: 3.7207 loss: 4.0449 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4348 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.6101 2023/02/02 01:29:02 - mmengine - INFO - Epoch(train) [149][1400/1879] lr: 4.7352e-02 eta: 1 day, 4:35:25 time: 0.5148 data_time: 0.0309 memory: 18108 grad_norm: 3.7077 loss: 3.8735 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2689 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.6046 2023/02/02 01:29:13 - mmengine - INFO - Epoch(train) [149][1420/1879] lr: 4.7344e-02 eta: 1 day, 4:35:15 time: 0.5184 data_time: 0.0373 memory: 18108 grad_norm: 3.6870 loss: 3.8976 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2864 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.6112 2023/02/02 01:29:23 - mmengine - INFO - Epoch(train) [149][1440/1879] lr: 4.7337e-02 eta: 1 day, 4:35:04 time: 0.4995 data_time: 0.0302 memory: 18108 grad_norm: 3.7837 loss: 4.1248 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.4646 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.6603 2023/02/02 01:29:33 - mmengine - INFO - Epoch(train) [149][1460/1879] lr: 4.7329e-02 eta: 1 day, 4:34:54 time: 0.5201 data_time: 0.0454 memory: 18108 grad_norm: 3.6585 loss: 3.7371 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0435 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.6936 2023/02/02 01:29:43 - mmengine - INFO - Epoch(train) [149][1480/1879] lr: 4.7322e-02 eta: 1 day, 4:34:44 time: 0.5024 data_time: 0.0303 memory: 18108 grad_norm: 3.6432 loss: 3.6215 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0564 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.5651 2023/02/02 01:29:54 - mmengine - INFO - Epoch(train) [149][1500/1879] lr: 4.7314e-02 eta: 1 day, 4:34:34 time: 0.5227 data_time: 0.0371 memory: 18108 grad_norm: 3.6799 loss: 3.6777 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.0822 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.5956 2023/02/02 01:30:04 - mmengine - INFO - Epoch(train) [149][1520/1879] lr: 4.7307e-02 eta: 1 day, 4:34:24 time: 0.5096 data_time: 0.0307 memory: 18108 grad_norm: 3.7725 loss: 3.7835 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.2284 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.5551 2023/02/02 01:30:14 - mmengine - INFO - Epoch(train) [149][1540/1879] lr: 4.7299e-02 eta: 1 day, 4:34:13 time: 0.5064 data_time: 0.0362 memory: 18108 grad_norm: 3.7386 loss: 3.8304 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2557 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.5747 2023/02/02 01:30:25 - mmengine - INFO - Epoch(train) [149][1560/1879] lr: 4.7292e-02 eta: 1 day, 4:34:03 time: 0.5176 data_time: 0.0308 memory: 18108 grad_norm: 3.6414 loss: 3.6482 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1173 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.5309 2023/02/02 01:30:35 - mmengine - INFO - Epoch(train) [149][1580/1879] lr: 4.7284e-02 eta: 1 day, 4:33:53 time: 0.5134 data_time: 0.0444 memory: 18108 grad_norm: 3.7465 loss: 3.9445 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2756 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.6689 2023/02/02 01:30:45 - mmengine - INFO - Epoch(train) [149][1600/1879] lr: 4.7277e-02 eta: 1 day, 4:33:43 time: 0.5164 data_time: 0.0302 memory: 18108 grad_norm: 3.6872 loss: 3.7252 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1541 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.5711 2023/02/02 01:30:55 - mmengine - INFO - Epoch(train) [149][1620/1879] lr: 4.7269e-02 eta: 1 day, 4:33:33 time: 0.5154 data_time: 0.0375 memory: 18108 grad_norm: 3.7177 loss: 3.8813 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.2580 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.6233 2023/02/02 01:31:06 - mmengine - INFO - Epoch(train) [149][1640/1879] lr: 4.7261e-02 eta: 1 day, 4:33:23 time: 0.5124 data_time: 0.0299 memory: 18108 grad_norm: 3.7116 loss: 4.0650 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3509 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.7141 2023/02/02 01:31:16 - mmengine - INFO - Epoch(train) [149][1660/1879] lr: 4.7254e-02 eta: 1 day, 4:33:13 time: 0.5360 data_time: 0.0478 memory: 18108 grad_norm: 3.6809 loss: 3.6689 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0782 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.5907 2023/02/02 01:31:27 - mmengine - INFO - Epoch(train) [149][1680/1879] lr: 4.7246e-02 eta: 1 day, 4:33:03 time: 0.5224 data_time: 0.0292 memory: 18108 grad_norm: 3.7978 loss: 3.9089 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2497 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.6592 2023/02/02 01:31:38 - mmengine - INFO - Epoch(train) [149][1700/1879] lr: 4.7239e-02 eta: 1 day, 4:32:53 time: 0.5369 data_time: 0.0384 memory: 18108 grad_norm: 3.8350 loss: 4.0392 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4286 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.6106 2023/02/02 01:31:49 - mmengine - INFO - Epoch(train) [149][1720/1879] lr: 4.7231e-02 eta: 1 day, 4:32:43 time: 0.5517 data_time: 0.0357 memory: 18108 grad_norm: 3.7461 loss: 4.0380 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4393 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.5987 2023/02/02 01:31:59 - mmengine - INFO - Epoch(train) [149][1740/1879] lr: 4.7224e-02 eta: 1 day, 4:32:33 time: 0.5364 data_time: 0.0370 memory: 18108 grad_norm: 3.6831 loss: 3.7054 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0756 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.6297 2023/02/02 01:32:10 - mmengine - INFO - Epoch(train) [149][1760/1879] lr: 4.7216e-02 eta: 1 day, 4:32:24 time: 0.5333 data_time: 0.0348 memory: 18108 grad_norm: 3.7761 loss: 3.7204 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.1609 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.5594 2023/02/02 01:32:21 - mmengine - INFO - Epoch(train) [149][1780/1879] lr: 4.7209e-02 eta: 1 day, 4:32:14 time: 0.5441 data_time: 0.0319 memory: 18108 grad_norm: 3.8419 loss: 3.7311 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1750 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.5562 2023/02/02 01:32:32 - mmengine - INFO - Epoch(train) [149][1800/1879] lr: 4.7201e-02 eta: 1 day, 4:32:04 time: 0.5263 data_time: 0.0276 memory: 18108 grad_norm: 3.7064 loss: 3.7718 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1572 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.6146 2023/02/02 01:32:42 - mmengine - INFO - Epoch(train) [149][1820/1879] lr: 4.7194e-02 eta: 1 day, 4:31:54 time: 0.5149 data_time: 0.0365 memory: 18108 grad_norm: 3.7234 loss: 3.9934 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2799 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.7135 2023/02/02 01:32:53 - mmengine - INFO - Epoch(train) [149][1840/1879] lr: 4.7186e-02 eta: 1 day, 4:31:44 time: 0.5312 data_time: 0.0364 memory: 18108 grad_norm: 3.7547 loss: 3.7292 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1617 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.5675 2023/02/02 01:33:03 - mmengine - INFO - Epoch(train) [149][1860/1879] lr: 4.7179e-02 eta: 1 day, 4:31:34 time: 0.5326 data_time: 0.0414 memory: 18108 grad_norm: 3.7554 loss: 3.7968 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1544 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6424 2023/02/02 01:33:13 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 01:33:13 - mmengine - INFO - Epoch(train) [149][1879/1879] lr: 4.7172e-02 eta: 1 day, 4:31:24 time: 0.5029 data_time: 0.0259 memory: 18108 grad_norm: 3.8331 loss: 3.8876 top1_acc_0: 0.2857 top5_acc_0: 0.7143 loss_cls_0: 2.3626 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.5250 2023/02/02 01:33:28 - mmengine - INFO - Epoch(train) [150][ 20/1879] lr: 4.7164e-02 eta: 1 day, 4:31:17 time: 0.7162 data_time: 0.2629 memory: 18108 grad_norm: 3.6887 loss: 3.9164 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3585 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.5579 2023/02/02 01:33:32 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 01:33:37 - mmengine - INFO - Epoch(train) [150][ 40/1879] lr: 4.7157e-02 eta: 1 day, 4:31:06 time: 0.4633 data_time: 0.0332 memory: 18108 grad_norm: 3.7300 loss: 4.0572 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4906 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.5666 2023/02/02 01:33:47 - mmengine - INFO - Epoch(train) [150][ 60/1879] lr: 4.7149e-02 eta: 1 day, 4:30:55 time: 0.4755 data_time: 0.0384 memory: 18108 grad_norm: 3.7876 loss: 4.0704 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.4782 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.5922 2023/02/02 01:33:57 - mmengine - INFO - Epoch(train) [150][ 80/1879] lr: 4.7142e-02 eta: 1 day, 4:30:45 time: 0.5092 data_time: 0.0437 memory: 18108 grad_norm: 3.6712 loss: 3.8348 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.3371 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.4977 2023/02/02 01:34:07 - mmengine - INFO - Epoch(train) [150][ 100/1879] lr: 4.7134e-02 eta: 1 day, 4:30:34 time: 0.4784 data_time: 0.0358 memory: 18108 grad_norm: 3.7367 loss: 3.6763 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.0652 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.6112 2023/02/02 01:34:16 - mmengine - INFO - Epoch(train) [150][ 120/1879] lr: 4.7127e-02 eta: 1 day, 4:30:24 time: 0.4784 data_time: 0.0333 memory: 18108 grad_norm: 3.8070 loss: 3.7993 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.2627 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.5366 2023/02/02 01:34:26 - mmengine - INFO - Epoch(train) [150][ 140/1879] lr: 4.7119e-02 eta: 1 day, 4:30:13 time: 0.5035 data_time: 0.0435 memory: 18108 grad_norm: 3.7477 loss: 3.7783 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3018 top1_acc_1: 0.6824 top5_acc_1: 0.9294 loss_cls_1: 1.4765 2023/02/02 01:34:36 - mmengine - INFO - Epoch(train) [150][ 160/1879] lr: 4.7111e-02 eta: 1 day, 4:30:03 time: 0.4993 data_time: 0.0337 memory: 18108 grad_norm: 3.7587 loss: 4.0375 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4870 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.5504 2023/02/02 01:34:46 - mmengine - INFO - Epoch(train) [150][ 180/1879] lr: 4.7104e-02 eta: 1 day, 4:29:52 time: 0.4790 data_time: 0.0348 memory: 18108 grad_norm: 3.7033 loss: 3.7899 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2457 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5443 2023/02/02 01:34:55 - mmengine - INFO - Epoch(train) [150][ 200/1879] lr: 4.7096e-02 eta: 1 day, 4:29:41 time: 0.4774 data_time: 0.0340 memory: 18108 grad_norm: 3.7574 loss: 3.7879 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1854 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.6025 2023/02/02 01:35:06 - mmengine - INFO - Epoch(train) [150][ 220/1879] lr: 4.7089e-02 eta: 1 day, 4:29:31 time: 0.5131 data_time: 0.0365 memory: 18108 grad_norm: 3.7647 loss: 3.7102 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.1136 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.5966 2023/02/02 01:35:15 - mmengine - INFO - Epoch(train) [150][ 240/1879] lr: 4.7081e-02 eta: 1 day, 4:29:21 time: 0.4927 data_time: 0.0341 memory: 18108 grad_norm: 3.6903 loss: 3.7478 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1231 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.6247 2023/02/02 01:35:25 - mmengine - INFO - Epoch(train) [150][ 260/1879] lr: 4.7074e-02 eta: 1 day, 4:29:10 time: 0.4819 data_time: 0.0372 memory: 18108 grad_norm: 3.7729 loss: 3.8914 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3188 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 1.5725 2023/02/02 01:35:35 - mmengine - INFO - Epoch(train) [150][ 280/1879] lr: 4.7066e-02 eta: 1 day, 4:29:00 time: 0.4906 data_time: 0.0343 memory: 18108 grad_norm: 3.8265 loss: 3.6829 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1850 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.4978 2023/02/02 01:35:45 - mmengine - INFO - Epoch(train) [150][ 300/1879] lr: 4.7059e-02 eta: 1 day, 4:28:49 time: 0.5051 data_time: 0.0422 memory: 18108 grad_norm: 3.7352 loss: 3.8156 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2347 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5809 2023/02/02 01:35:55 - mmengine - INFO - Epoch(train) [150][ 320/1879] lr: 4.7051e-02 eta: 1 day, 4:28:39 time: 0.4901 data_time: 0.0341 memory: 18108 grad_norm: 3.7423 loss: 3.8338 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.2238 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.6099 2023/02/02 01:36:05 - mmengine - INFO - Epoch(train) [150][ 340/1879] lr: 4.7044e-02 eta: 1 day, 4:28:28 time: 0.4913 data_time: 0.0378 memory: 18108 grad_norm: 3.7489 loss: 3.7674 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1735 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.5939 2023/02/02 01:36:15 - mmengine - INFO - Epoch(train) [150][ 360/1879] lr: 4.7036e-02 eta: 1 day, 4:28:18 time: 0.5015 data_time: 0.0412 memory: 18108 grad_norm: 3.7714 loss: 3.7764 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2358 top1_acc_1: 0.6588 top5_acc_1: 0.7882 loss_cls_1: 1.5406 2023/02/02 01:36:25 - mmengine - INFO - Epoch(train) [150][ 380/1879] lr: 4.7029e-02 eta: 1 day, 4:28:08 time: 0.5022 data_time: 0.0365 memory: 18108 grad_norm: 3.6399 loss: 3.7339 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3083 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 1.4255 2023/02/02 01:36:35 - mmengine - INFO - Epoch(train) [150][ 400/1879] lr: 4.7021e-02 eta: 1 day, 4:27:57 time: 0.4858 data_time: 0.0353 memory: 18108 grad_norm: 3.7792 loss: 3.7789 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1937 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.5853 2023/02/02 01:36:44 - mmengine - INFO - Epoch(train) [150][ 420/1879] lr: 4.7014e-02 eta: 1 day, 4:27:47 time: 0.4917 data_time: 0.0345 memory: 18108 grad_norm: 3.8417 loss: 3.7149 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.1740 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.5409 2023/02/02 01:36:54 - mmengine - INFO - Epoch(train) [150][ 440/1879] lr: 4.7006e-02 eta: 1 day, 4:27:36 time: 0.5001 data_time: 0.0351 memory: 18108 grad_norm: 3.7623 loss: 4.1105 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4603 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.6502 2023/02/02 01:37:04 - mmengine - INFO - Epoch(train) [150][ 460/1879] lr: 4.6999e-02 eta: 1 day, 4:27:26 time: 0.4946 data_time: 0.0357 memory: 18108 grad_norm: 3.6525 loss: 3.8936 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2725 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.6211 2023/02/02 01:37:14 - mmengine - INFO - Epoch(train) [150][ 480/1879] lr: 4.6991e-02 eta: 1 day, 4:27:15 time: 0.5011 data_time: 0.0330 memory: 18108 grad_norm: 3.7204 loss: 3.7083 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1931 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.5152 2023/02/02 01:37:25 - mmengine - INFO - Epoch(train) [150][ 500/1879] lr: 4.6984e-02 eta: 1 day, 4:27:05 time: 0.5145 data_time: 0.0414 memory: 18108 grad_norm: 3.7141 loss: 3.8141 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2841 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5300 2023/02/02 01:37:35 - mmengine - INFO - Epoch(train) [150][ 520/1879] lr: 4.6976e-02 eta: 1 day, 4:26:55 time: 0.4993 data_time: 0.0337 memory: 18108 grad_norm: 3.7048 loss: 3.5720 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0287 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.5433 2023/02/02 01:37:45 - mmengine - INFO - Epoch(train) [150][ 540/1879] lr: 4.6969e-02 eta: 1 day, 4:26:44 time: 0.4931 data_time: 0.0338 memory: 18108 grad_norm: 3.7494 loss: 3.9218 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2856 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.6362 2023/02/02 01:37:54 - mmengine - INFO - Epoch(train) [150][ 560/1879] lr: 4.6961e-02 eta: 1 day, 4:26:34 time: 0.4932 data_time: 0.0354 memory: 18108 grad_norm: 3.7938 loss: 3.8246 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.1582 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.6664 2023/02/02 01:38:05 - mmengine - INFO - Epoch(train) [150][ 580/1879] lr: 4.6954e-02 eta: 1 day, 4:26:24 time: 0.5201 data_time: 0.0404 memory: 18108 grad_norm: 3.6748 loss: 3.7271 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1791 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.5480 2023/02/02 01:38:15 - mmengine - INFO - Epoch(train) [150][ 600/1879] lr: 4.6946e-02 eta: 1 day, 4:26:13 time: 0.4943 data_time: 0.0361 memory: 18108 grad_norm: 3.7716 loss: 3.9955 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3800 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.6156 2023/02/02 01:38:25 - mmengine - INFO - Epoch(train) [150][ 620/1879] lr: 4.6939e-02 eta: 1 day, 4:26:03 time: 0.4984 data_time: 0.0354 memory: 18108 grad_norm: 3.7458 loss: 3.8972 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 2.2088 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.6884 2023/02/02 01:38:35 - mmengine - INFO - Epoch(train) [150][ 640/1879] lr: 4.6931e-02 eta: 1 day, 4:25:53 time: 0.5125 data_time: 0.0324 memory: 18108 grad_norm: 3.8312 loss: 3.8766 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2498 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.6267 2023/02/02 01:38:45 - mmengine - INFO - Epoch(train) [150][ 660/1879] lr: 4.6924e-02 eta: 1 day, 4:25:43 time: 0.5086 data_time: 0.0411 memory: 18108 grad_norm: 3.7530 loss: 4.0839 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4449 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6390 2023/02/02 01:38:55 - mmengine - INFO - Epoch(train) [150][ 680/1879] lr: 4.6916e-02 eta: 1 day, 4:25:32 time: 0.4978 data_time: 0.0296 memory: 18108 grad_norm: 3.7356 loss: 3.4995 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.9771 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5224 2023/02/02 01:39:05 - mmengine - INFO - Epoch(train) [150][ 700/1879] lr: 4.6908e-02 eta: 1 day, 4:25:22 time: 0.5091 data_time: 0.0356 memory: 18108 grad_norm: 3.7482 loss: 3.6858 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.1134 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.5724 2023/02/02 01:39:16 - mmengine - INFO - Epoch(train) [150][ 720/1879] lr: 4.6901e-02 eta: 1 day, 4:25:12 time: 0.5169 data_time: 0.0382 memory: 18108 grad_norm: 3.8168 loss: 3.7954 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2077 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.5878 2023/02/02 01:39:26 - mmengine - INFO - Epoch(train) [150][ 740/1879] lr: 4.6893e-02 eta: 1 day, 4:25:02 time: 0.5001 data_time: 0.0372 memory: 18108 grad_norm: 3.8097 loss: 4.0296 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4502 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5794 2023/02/02 01:39:36 - mmengine - INFO - Epoch(train) [150][ 760/1879] lr: 4.6886e-02 eta: 1 day, 4:24:51 time: 0.5126 data_time: 0.0336 memory: 18108 grad_norm: 3.7996 loss: 3.8786 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3000 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.5786 2023/02/02 01:39:46 - mmengine - INFO - Epoch(train) [150][ 780/1879] lr: 4.6878e-02 eta: 1 day, 4:24:41 time: 0.5151 data_time: 0.0435 memory: 18108 grad_norm: 3.8455 loss: 3.6622 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0355 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.6267 2023/02/02 01:39:56 - mmengine - INFO - Epoch(train) [150][ 800/1879] lr: 4.6871e-02 eta: 1 day, 4:24:31 time: 0.5004 data_time: 0.0303 memory: 18108 grad_norm: 3.7470 loss: 3.8764 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.2653 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.6111 2023/02/02 01:40:07 - mmengine - INFO - Epoch(train) [150][ 820/1879] lr: 4.6863e-02 eta: 1 day, 4:24:21 time: 0.5085 data_time: 0.0380 memory: 18108 grad_norm: 3.7033 loss: 3.5899 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.0651 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.5248 2023/02/02 01:40:17 - mmengine - INFO - Epoch(train) [150][ 840/1879] lr: 4.6856e-02 eta: 1 day, 4:24:10 time: 0.5170 data_time: 0.0311 memory: 18108 grad_norm: 3.6970 loss: 3.8442 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2205 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.6237 2023/02/02 01:40:27 - mmengine - INFO - Epoch(train) [150][ 860/1879] lr: 4.6848e-02 eta: 1 day, 4:24:00 time: 0.5071 data_time: 0.0368 memory: 18108 grad_norm: 3.7346 loss: 3.9752 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3016 top1_acc_1: 0.5176 top5_acc_1: 0.7529 loss_cls_1: 1.6736 2023/02/02 01:40:37 - mmengine - INFO - Epoch(train) [150][ 880/1879] lr: 4.6841e-02 eta: 1 day, 4:23:50 time: 0.5010 data_time: 0.0330 memory: 18108 grad_norm: 3.7984 loss: 3.8428 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.2751 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.5677 2023/02/02 01:40:47 - mmengine - INFO - Epoch(train) [150][ 900/1879] lr: 4.6833e-02 eta: 1 day, 4:23:40 time: 0.5135 data_time: 0.0429 memory: 18108 grad_norm: 3.8030 loss: 3.8260 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2572 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.5688 2023/02/02 01:40:58 - mmengine - INFO - Epoch(train) [150][ 920/1879] lr: 4.6826e-02 eta: 1 day, 4:23:29 time: 0.5109 data_time: 0.0301 memory: 18108 grad_norm: 3.8159 loss: 3.6941 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2004 top1_acc_1: 0.5412 top5_acc_1: 0.8588 loss_cls_1: 1.4937 2023/02/02 01:41:08 - mmengine - INFO - Epoch(train) [150][ 940/1879] lr: 4.6818e-02 eta: 1 day, 4:23:19 time: 0.5121 data_time: 0.0381 memory: 18108 grad_norm: 3.7833 loss: 3.9102 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.3136 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.5967 2023/02/02 01:41:18 - mmengine - INFO - Epoch(train) [150][ 960/1879] lr: 4.6811e-02 eta: 1 day, 4:23:09 time: 0.4947 data_time: 0.0306 memory: 18108 grad_norm: 3.7630 loss: 4.0031 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3351 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.6680 2023/02/02 01:41:28 - mmengine - INFO - Epoch(train) [150][ 980/1879] lr: 4.6803e-02 eta: 1 day, 4:22:59 time: 0.5247 data_time: 0.0447 memory: 18108 grad_norm: 3.8585 loss: 3.8035 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.1606 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.6429 2023/02/02 01:41:38 - mmengine - INFO - Epoch(train) [150][1000/1879] lr: 4.6796e-02 eta: 1 day, 4:22:48 time: 0.5003 data_time: 0.0308 memory: 18108 grad_norm: 3.7866 loss: 4.1744 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.6145 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5599 2023/02/02 01:41:49 - mmengine - INFO - Epoch(train) [150][1020/1879] lr: 4.6788e-02 eta: 1 day, 4:22:38 time: 0.5090 data_time: 0.0362 memory: 18108 grad_norm: 3.7363 loss: 3.8321 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2487 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.5834 2023/02/02 01:41:53 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 01:41:59 - mmengine - INFO - Epoch(train) [150][1040/1879] lr: 4.6781e-02 eta: 1 day, 4:22:28 time: 0.4961 data_time: 0.0300 memory: 18108 grad_norm: 3.7649 loss: 4.0082 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3247 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.6836 2023/02/02 01:42:09 - mmengine - INFO - Epoch(train) [150][1060/1879] lr: 4.6773e-02 eta: 1 day, 4:22:18 time: 0.5236 data_time: 0.0371 memory: 18108 grad_norm: 3.7428 loss: 3.9625 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.4308 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.5317 2023/02/02 01:42:19 - mmengine - INFO - Epoch(train) [150][1080/1879] lr: 4.6766e-02 eta: 1 day, 4:22:08 time: 0.5084 data_time: 0.0297 memory: 18108 grad_norm: 3.7223 loss: 4.2106 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.6344 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.5762 2023/02/02 01:42:29 - mmengine - INFO - Epoch(train) [150][1100/1879] lr: 4.6758e-02 eta: 1 day, 4:21:57 time: 0.5102 data_time: 0.0378 memory: 18108 grad_norm: 3.7750 loss: 3.7795 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1273 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6522 2023/02/02 01:42:40 - mmengine - INFO - Epoch(train) [150][1120/1879] lr: 4.6751e-02 eta: 1 day, 4:21:47 time: 0.5064 data_time: 0.0325 memory: 18108 grad_norm: 3.7624 loss: 4.0224 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.4244 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.5981 2023/02/02 01:42:50 - mmengine - INFO - Epoch(train) [150][1140/1879] lr: 4.6743e-02 eta: 1 day, 4:21:37 time: 0.5045 data_time: 0.0372 memory: 18108 grad_norm: 3.6994 loss: 3.9054 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2780 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.6274 2023/02/02 01:43:00 - mmengine - INFO - Epoch(train) [150][1160/1879] lr: 4.6736e-02 eta: 1 day, 4:21:27 time: 0.5244 data_time: 0.0372 memory: 18108 grad_norm: 3.7120 loss: 3.6565 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0648 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.5917 2023/02/02 01:43:10 - mmengine - INFO - Epoch(train) [150][1180/1879] lr: 4.6728e-02 eta: 1 day, 4:21:16 time: 0.4984 data_time: 0.0369 memory: 18108 grad_norm: 3.7105 loss: 3.8841 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3719 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.5122 2023/02/02 01:43:21 - mmengine - INFO - Epoch(train) [150][1200/1879] lr: 4.6721e-02 eta: 1 day, 4:21:06 time: 0.5165 data_time: 0.0306 memory: 18108 grad_norm: 3.7176 loss: 4.0406 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.4086 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6320 2023/02/02 01:43:31 - mmengine - INFO - Epoch(train) [150][1220/1879] lr: 4.6713e-02 eta: 1 day, 4:20:56 time: 0.5187 data_time: 0.0429 memory: 18108 grad_norm: 3.6858 loss: 3.5894 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 1.9746 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.6148 2023/02/02 01:43:41 - mmengine - INFO - Epoch(train) [150][1240/1879] lr: 4.6706e-02 eta: 1 day, 4:20:46 time: 0.5116 data_time: 0.0276 memory: 18108 grad_norm: 3.7956 loss: 3.6296 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0250 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6045 2023/02/02 01:43:52 - mmengine - INFO - Epoch(train) [150][1260/1879] lr: 4.6698e-02 eta: 1 day, 4:20:36 time: 0.5204 data_time: 0.0370 memory: 18108 grad_norm: 3.7371 loss: 3.7684 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1301 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.6383 2023/02/02 01:44:02 - mmengine - INFO - Epoch(train) [150][1280/1879] lr: 4.6691e-02 eta: 1 day, 4:20:26 time: 0.5137 data_time: 0.0308 memory: 18108 grad_norm: 3.8075 loss: 3.8518 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2696 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.5822 2023/02/02 01:44:12 - mmengine - INFO - Epoch(train) [150][1300/1879] lr: 4.6683e-02 eta: 1 day, 4:20:15 time: 0.5104 data_time: 0.0413 memory: 18108 grad_norm: 3.7087 loss: 3.8188 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2620 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.5568 2023/02/02 01:44:22 - mmengine - INFO - Epoch(train) [150][1320/1879] lr: 4.6676e-02 eta: 1 day, 4:20:05 time: 0.5097 data_time: 0.0323 memory: 18108 grad_norm: 3.7647 loss: 3.7578 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2110 top1_acc_1: 0.6824 top5_acc_1: 0.9294 loss_cls_1: 1.5468 2023/02/02 01:44:33 - mmengine - INFO - Epoch(train) [150][1340/1879] lr: 4.6668e-02 eta: 1 day, 4:19:55 time: 0.5086 data_time: 0.0358 memory: 18108 grad_norm: 3.7728 loss: 3.8673 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2320 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.6352 2023/02/02 01:44:43 - mmengine - INFO - Epoch(train) [150][1360/1879] lr: 4.6660e-02 eta: 1 day, 4:19:45 time: 0.5145 data_time: 0.0288 memory: 18108 grad_norm: 3.7799 loss: 3.9208 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.2491 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.6717 2023/02/02 01:44:53 - mmengine - INFO - Epoch(train) [150][1380/1879] lr: 4.6653e-02 eta: 1 day, 4:19:35 time: 0.5119 data_time: 0.0357 memory: 18108 grad_norm: 3.7630 loss: 3.7085 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.1283 top1_acc_1: 0.7412 top5_acc_1: 0.8471 loss_cls_1: 1.5802 2023/02/02 01:45:03 - mmengine - INFO - Epoch(train) [150][1400/1879] lr: 4.6645e-02 eta: 1 day, 4:19:24 time: 0.5127 data_time: 0.0312 memory: 18108 grad_norm: 3.7479 loss: 3.7856 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.2153 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.5703 2023/02/02 01:45:14 - mmengine - INFO - Epoch(train) [150][1420/1879] lr: 4.6638e-02 eta: 1 day, 4:19:14 time: 0.5075 data_time: 0.0362 memory: 18108 grad_norm: 3.8089 loss: 4.0056 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.4198 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.5858 2023/02/02 01:45:24 - mmengine - INFO - Epoch(train) [150][1440/1879] lr: 4.6630e-02 eta: 1 day, 4:19:04 time: 0.5249 data_time: 0.0344 memory: 18108 grad_norm: 3.7193 loss: 3.8085 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.2120 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.5965 2023/02/02 01:45:34 - mmengine - INFO - Epoch(train) [150][1460/1879] lr: 4.6623e-02 eta: 1 day, 4:18:54 time: 0.5144 data_time: 0.0358 memory: 18108 grad_norm: 3.7613 loss: 3.7507 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1650 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.5857 2023/02/02 01:45:45 - mmengine - INFO - Epoch(train) [150][1480/1879] lr: 4.6615e-02 eta: 1 day, 4:18:44 time: 0.5110 data_time: 0.0398 memory: 18108 grad_norm: 3.6561 loss: 3.7849 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2195 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.5654 2023/02/02 01:45:55 - mmengine - INFO - Epoch(train) [150][1500/1879] lr: 4.6608e-02 eta: 1 day, 4:18:33 time: 0.5082 data_time: 0.0381 memory: 18108 grad_norm: 3.7278 loss: 3.7995 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.1774 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.6222 2023/02/02 01:46:05 - mmengine - INFO - Epoch(train) [150][1520/1879] lr: 4.6600e-02 eta: 1 day, 4:18:23 time: 0.5201 data_time: 0.0321 memory: 18108 grad_norm: 3.7340 loss: 3.8180 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2184 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.5996 2023/02/02 01:46:16 - mmengine - INFO - Epoch(train) [150][1540/1879] lr: 4.6593e-02 eta: 1 day, 4:18:13 time: 0.5191 data_time: 0.0383 memory: 18108 grad_norm: 3.7750 loss: 3.7632 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0958 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.6673 2023/02/02 01:46:26 - mmengine - INFO - Epoch(train) [150][1560/1879] lr: 4.6585e-02 eta: 1 day, 4:18:03 time: 0.5084 data_time: 0.0309 memory: 18108 grad_norm: 3.8088 loss: 3.7859 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2046 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.5813 2023/02/02 01:46:36 - mmengine - INFO - Epoch(train) [150][1580/1879] lr: 4.6578e-02 eta: 1 day, 4:17:53 time: 0.5060 data_time: 0.0369 memory: 18108 grad_norm: 3.7463 loss: 3.7501 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.2111 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5390 2023/02/02 01:46:46 - mmengine - INFO - Epoch(train) [150][1600/1879] lr: 4.6570e-02 eta: 1 day, 4:17:43 time: 0.5146 data_time: 0.0305 memory: 18108 grad_norm: 3.7794 loss: 4.0366 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3577 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.6789 2023/02/02 01:46:57 - mmengine - INFO - Epoch(train) [150][1620/1879] lr: 4.6563e-02 eta: 1 day, 4:17:33 time: 0.5184 data_time: 0.0424 memory: 18108 grad_norm: 3.7808 loss: 3.8636 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2802 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.5835 2023/02/02 01:47:07 - mmengine - INFO - Epoch(train) [150][1640/1879] lr: 4.6555e-02 eta: 1 day, 4:17:22 time: 0.4975 data_time: 0.0309 memory: 18108 grad_norm: 3.7756 loss: 3.8691 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1998 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.6694 2023/02/02 01:47:17 - mmengine - INFO - Epoch(train) [150][1660/1879] lr: 4.6548e-02 eta: 1 day, 4:17:12 time: 0.5112 data_time: 0.0393 memory: 18108 grad_norm: 3.7553 loss: 3.8744 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1874 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.6869 2023/02/02 01:47:28 - mmengine - INFO - Epoch(train) [150][1680/1879] lr: 4.6540e-02 eta: 1 day, 4:17:02 time: 0.5391 data_time: 0.0366 memory: 18108 grad_norm: 3.7532 loss: 3.9103 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3260 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.5844 2023/02/02 01:47:38 - mmengine - INFO - Epoch(train) [150][1700/1879] lr: 4.6533e-02 eta: 1 day, 4:16:52 time: 0.4981 data_time: 0.0356 memory: 18108 grad_norm: 3.7199 loss: 3.8798 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2105 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6693 2023/02/02 01:47:48 - mmengine - INFO - Epoch(train) [150][1720/1879] lr: 4.6525e-02 eta: 1 day, 4:16:41 time: 0.4995 data_time: 0.0308 memory: 18108 grad_norm: 3.7573 loss: 3.5267 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.0192 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.5075 2023/02/02 01:47:58 - mmengine - INFO - Epoch(train) [150][1740/1879] lr: 4.6518e-02 eta: 1 day, 4:16:31 time: 0.5110 data_time: 0.0369 memory: 18108 grad_norm: 3.7705 loss: 3.7749 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2142 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.5607 2023/02/02 01:48:08 - mmengine - INFO - Epoch(train) [150][1760/1879] lr: 4.6510e-02 eta: 1 day, 4:16:21 time: 0.5230 data_time: 0.0313 memory: 18108 grad_norm: 3.7995 loss: 3.8554 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.2617 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.5937 2023/02/02 01:48:18 - mmengine - INFO - Epoch(train) [150][1780/1879] lr: 4.6503e-02 eta: 1 day, 4:16:11 time: 0.5023 data_time: 0.0355 memory: 18108 grad_norm: 3.7380 loss: 3.7839 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2089 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.5750 2023/02/02 01:48:28 - mmengine - INFO - Epoch(train) [150][1800/1879] lr: 4.6495e-02 eta: 1 day, 4:16:00 time: 0.4964 data_time: 0.0313 memory: 18108 grad_norm: 3.7206 loss: 3.9102 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3528 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.5574 2023/02/02 01:48:39 - mmengine - INFO - Epoch(train) [150][1820/1879] lr: 4.6488e-02 eta: 1 day, 4:15:51 time: 0.5393 data_time: 0.0454 memory: 18108 grad_norm: 3.7793 loss: 3.8870 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3199 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.5671 2023/02/02 01:48:49 - mmengine - INFO - Epoch(train) [150][1840/1879] lr: 4.6480e-02 eta: 1 day, 4:15:40 time: 0.5080 data_time: 0.0323 memory: 18108 grad_norm: 3.7490 loss: 3.8476 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2244 top1_acc_1: 0.4941 top5_acc_1: 0.8235 loss_cls_1: 1.6232 2023/02/02 01:49:00 - mmengine - INFO - Epoch(train) [150][1860/1879] lr: 4.6473e-02 eta: 1 day, 4:15:30 time: 0.5129 data_time: 0.0356 memory: 18108 grad_norm: 3.7276 loss: 3.9020 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3581 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.5439 2023/02/02 01:49:09 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 01:49:09 - mmengine - INFO - Epoch(train) [150][1879/1879] lr: 4.6465e-02 eta: 1 day, 4:15:20 time: 0.5088 data_time: 0.0342 memory: 18108 grad_norm: 3.9145 loss: 3.7106 top1_acc_0: 0.1429 top5_acc_0: 1.0000 loss_cls_0: 2.1913 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.5193 2023/02/02 01:49:24 - mmengine - INFO - Epoch(train) [151][ 20/1879] lr: 4.6458e-02 eta: 1 day, 4:15:13 time: 0.7212 data_time: 0.2559 memory: 18108 grad_norm: 3.6725 loss: 3.8218 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3382 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.4836 2023/02/02 01:49:34 - mmengine - INFO - Epoch(train) [151][ 40/1879] lr: 4.6450e-02 eta: 1 day, 4:15:02 time: 0.4737 data_time: 0.0308 memory: 18108 grad_norm: 3.6161 loss: 3.7802 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1802 top1_acc_1: 0.6588 top5_acc_1: 0.7882 loss_cls_1: 1.6000 2023/02/02 01:49:43 - mmengine - INFO - Epoch(train) [151][ 60/1879] lr: 4.6443e-02 eta: 1 day, 4:14:52 time: 0.4807 data_time: 0.0386 memory: 18108 grad_norm: 3.7387 loss: 3.6884 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1664 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.5220 2023/02/02 01:49:54 - mmengine - INFO - Epoch(train) [151][ 80/1879] lr: 4.6435e-02 eta: 1 day, 4:14:41 time: 0.5089 data_time: 0.0382 memory: 18108 grad_norm: 3.7368 loss: 3.8147 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2259 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.5888 2023/02/02 01:50:03 - mmengine - INFO - Epoch(train) [151][ 100/1879] lr: 4.6428e-02 eta: 1 day, 4:14:31 time: 0.4814 data_time: 0.0410 memory: 18108 grad_norm: 3.5990 loss: 3.5036 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0011 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.5025 2023/02/02 01:50:13 - mmengine - INFO - Epoch(train) [151][ 120/1879] lr: 4.6420e-02 eta: 1 day, 4:14:20 time: 0.4683 data_time: 0.0318 memory: 18108 grad_norm: 3.7401 loss: 3.4908 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9924 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.4984 2023/02/02 01:50:23 - mmengine - INFO - Epoch(train) [151][ 140/1879] lr: 4.6413e-02 eta: 1 day, 4:14:10 time: 0.5093 data_time: 0.0458 memory: 18108 grad_norm: 3.8271 loss: 4.1927 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.6083 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.5844 2023/02/02 01:50:28 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 01:50:32 - mmengine - INFO - Epoch(train) [151][ 160/1879] lr: 4.6405e-02 eta: 1 day, 4:13:59 time: 0.4780 data_time: 0.0313 memory: 18108 grad_norm: 3.8202 loss: 3.7521 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.1977 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.5545 2023/02/02 01:50:42 - mmengine - INFO - Epoch(train) [151][ 180/1879] lr: 4.6398e-02 eta: 1 day, 4:13:48 time: 0.4827 data_time: 0.0377 memory: 18108 grad_norm: 3.7631 loss: 3.6441 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0798 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.5643 2023/02/02 01:50:52 - mmengine - INFO - Epoch(train) [151][ 200/1879] lr: 4.6390e-02 eta: 1 day, 4:13:38 time: 0.4812 data_time: 0.0376 memory: 18108 grad_norm: 3.9259 loss: 4.0793 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4340 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.6453 2023/02/02 01:51:02 - mmengine - INFO - Epoch(train) [151][ 220/1879] lr: 4.6383e-02 eta: 1 day, 4:13:28 time: 0.5057 data_time: 0.0382 memory: 18108 grad_norm: 3.8321 loss: 3.8598 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.2309 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 1.6290 2023/02/02 01:51:11 - mmengine - INFO - Epoch(train) [151][ 240/1879] lr: 4.6375e-02 eta: 1 day, 4:13:17 time: 0.4688 data_time: 0.0321 memory: 18108 grad_norm: 3.7264 loss: 3.8025 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1983 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.6041 2023/02/02 01:51:21 - mmengine - INFO - Epoch(train) [151][ 260/1879] lr: 4.6368e-02 eta: 1 day, 4:13:06 time: 0.4817 data_time: 0.0392 memory: 18108 grad_norm: 3.8539 loss: 3.7094 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0952 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.6141 2023/02/02 01:51:31 - mmengine - INFO - Epoch(train) [151][ 280/1879] lr: 4.6360e-02 eta: 1 day, 4:12:56 time: 0.5040 data_time: 0.0369 memory: 18108 grad_norm: 3.7464 loss: 3.7417 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.1685 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.5732 2023/02/02 01:51:41 - mmengine - INFO - Epoch(train) [151][ 300/1879] lr: 4.6353e-02 eta: 1 day, 4:12:45 time: 0.4848 data_time: 0.0377 memory: 18108 grad_norm: 3.6642 loss: 3.7224 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.1296 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 1.5927 2023/02/02 01:51:50 - mmengine - INFO - Epoch(train) [151][ 320/1879] lr: 4.6345e-02 eta: 1 day, 4:12:34 time: 0.4705 data_time: 0.0314 memory: 18108 grad_norm: 3.8005 loss: 3.9431 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3730 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.5701 2023/02/02 01:52:00 - mmengine - INFO - Epoch(train) [151][ 340/1879] lr: 4.6338e-02 eta: 1 day, 4:12:24 time: 0.4950 data_time: 0.0464 memory: 18108 grad_norm: 3.7552 loss: 3.7279 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1805 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.5474 2023/02/02 01:52:10 - mmengine - INFO - Epoch(train) [151][ 360/1879] lr: 4.6330e-02 eta: 1 day, 4:12:13 time: 0.4825 data_time: 0.0324 memory: 18108 grad_norm: 3.7531 loss: 3.8382 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.3295 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.5087 2023/02/02 01:52:19 - mmengine - INFO - Epoch(train) [151][ 380/1879] lr: 4.6323e-02 eta: 1 day, 4:12:03 time: 0.4841 data_time: 0.0378 memory: 18108 grad_norm: 3.7784 loss: 3.8795 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3322 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.5473 2023/02/02 01:52:29 - mmengine - INFO - Epoch(train) [151][ 400/1879] lr: 4.6315e-02 eta: 1 day, 4:11:52 time: 0.4721 data_time: 0.0312 memory: 18108 grad_norm: 3.8004 loss: 3.7976 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2233 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.5742 2023/02/02 01:52:39 - mmengine - INFO - Epoch(train) [151][ 420/1879] lr: 4.6308e-02 eta: 1 day, 4:11:42 time: 0.5042 data_time: 0.0372 memory: 18108 grad_norm: 3.8165 loss: 3.7725 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.1982 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5743 2023/02/02 01:52:49 - mmengine - INFO - Epoch(train) [151][ 440/1879] lr: 4.6300e-02 eta: 1 day, 4:11:31 time: 0.4811 data_time: 0.0298 memory: 18108 grad_norm: 3.7355 loss: 3.7968 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2496 top1_acc_1: 0.6471 top5_acc_1: 0.9294 loss_cls_1: 1.5473 2023/02/02 01:52:58 - mmengine - INFO - Epoch(train) [151][ 460/1879] lr: 4.6293e-02 eta: 1 day, 4:11:20 time: 0.4742 data_time: 0.0376 memory: 18108 grad_norm: 3.7595 loss: 4.1339 top1_acc_0: 0.1250 top5_acc_0: 0.3750 loss_cls_0: 2.4770 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6569 2023/02/02 01:53:08 - mmengine - INFO - Epoch(train) [151][ 480/1879] lr: 4.6285e-02 eta: 1 day, 4:11:10 time: 0.4940 data_time: 0.0381 memory: 18108 grad_norm: 3.6996 loss: 3.6762 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1304 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.5458 2023/02/02 01:53:18 - mmengine - INFO - Epoch(train) [151][ 500/1879] lr: 4.6278e-02 eta: 1 day, 4:11:00 time: 0.4941 data_time: 0.0382 memory: 18108 grad_norm: 3.7529 loss: 3.7732 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1774 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.5958 2023/02/02 01:53:27 - mmengine - INFO - Epoch(train) [151][ 520/1879] lr: 4.6270e-02 eta: 1 day, 4:10:49 time: 0.4695 data_time: 0.0298 memory: 18108 grad_norm: 3.6914 loss: 3.6704 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.0817 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.5887 2023/02/02 01:53:37 - mmengine - INFO - Epoch(train) [151][ 540/1879] lr: 4.6263e-02 eta: 1 day, 4:10:38 time: 0.4837 data_time: 0.0374 memory: 18108 grad_norm: 3.7170 loss: 3.8215 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1956 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.6259 2023/02/02 01:53:47 - mmengine - INFO - Epoch(train) [151][ 560/1879] lr: 4.6255e-02 eta: 1 day, 4:10:27 time: 0.4746 data_time: 0.0376 memory: 18108 grad_norm: 3.7395 loss: 3.8256 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.1879 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.6376 2023/02/02 01:53:56 - mmengine - INFO - Epoch(train) [151][ 580/1879] lr: 4.6248e-02 eta: 1 day, 4:10:17 time: 0.4912 data_time: 0.0393 memory: 18108 grad_norm: 3.7678 loss: 3.8925 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3218 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.5707 2023/02/02 01:54:06 - mmengine - INFO - Epoch(train) [151][ 600/1879] lr: 4.6240e-02 eta: 1 day, 4:10:06 time: 0.4721 data_time: 0.0311 memory: 18108 grad_norm: 3.6832 loss: 3.7213 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1428 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5785 2023/02/02 01:54:16 - mmengine - INFO - Epoch(train) [151][ 620/1879] lr: 4.6233e-02 eta: 1 day, 4:09:56 time: 0.5003 data_time: 0.0454 memory: 18108 grad_norm: 3.7634 loss: 4.0269 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3515 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.6755 2023/02/02 01:54:26 - mmengine - INFO - Epoch(train) [151][ 640/1879] lr: 4.6225e-02 eta: 1 day, 4:09:45 time: 0.4865 data_time: 0.0313 memory: 18108 grad_norm: 3.7472 loss: 3.8537 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2404 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.6133 2023/02/02 01:54:36 - mmengine - INFO - Epoch(train) [151][ 660/1879] lr: 4.6218e-02 eta: 1 day, 4:09:35 time: 0.4983 data_time: 0.0391 memory: 18108 grad_norm: 3.8040 loss: 3.9521 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3834 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.5687 2023/02/02 01:54:46 - mmengine - INFO - Epoch(train) [151][ 680/1879] lr: 4.6210e-02 eta: 1 day, 4:09:24 time: 0.4979 data_time: 0.0310 memory: 18108 grad_norm: 3.7443 loss: 3.6930 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1771 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.5159 2023/02/02 01:54:56 - mmengine - INFO - Epoch(train) [151][ 700/1879] lr: 4.6203e-02 eta: 1 day, 4:09:14 time: 0.5106 data_time: 0.0428 memory: 18108 grad_norm: 3.7982 loss: 3.9513 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3108 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.6405 2023/02/02 01:55:06 - mmengine - INFO - Epoch(train) [151][ 720/1879] lr: 4.6195e-02 eta: 1 day, 4:09:04 time: 0.4903 data_time: 0.0324 memory: 18108 grad_norm: 3.7175 loss: 3.6947 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0483 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6465 2023/02/02 01:55:16 - mmengine - INFO - Epoch(train) [151][ 740/1879] lr: 4.6188e-02 eta: 1 day, 4:08:53 time: 0.4966 data_time: 0.0391 memory: 18108 grad_norm: 3.7677 loss: 4.0184 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.4313 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.5871 2023/02/02 01:55:25 - mmengine - INFO - Epoch(train) [151][ 760/1879] lr: 4.6180e-02 eta: 1 day, 4:08:43 time: 0.4946 data_time: 0.0362 memory: 18108 grad_norm: 3.7990 loss: 3.7139 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0772 top1_acc_1: 0.5765 top5_acc_1: 0.8941 loss_cls_1: 1.6367 2023/02/02 01:55:36 - mmengine - INFO - Epoch(train) [151][ 780/1879] lr: 4.6173e-02 eta: 1 day, 4:08:33 time: 0.5117 data_time: 0.0380 memory: 18108 grad_norm: 3.8454 loss: 3.7000 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1023 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.5976 2023/02/02 01:55:46 - mmengine - INFO - Epoch(train) [151][ 800/1879] lr: 4.6165e-02 eta: 1 day, 4:08:22 time: 0.4978 data_time: 0.0298 memory: 18108 grad_norm: 3.8188 loss: 3.7895 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.1423 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.6472 2023/02/02 01:55:56 - mmengine - INFO - Epoch(train) [151][ 820/1879] lr: 4.6158e-02 eta: 1 day, 4:08:12 time: 0.5133 data_time: 0.0370 memory: 18108 grad_norm: 3.7769 loss: 3.7389 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.1411 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.5978 2023/02/02 01:56:06 - mmengine - INFO - Epoch(train) [151][ 840/1879] lr: 4.6150e-02 eta: 1 day, 4:08:02 time: 0.5110 data_time: 0.0304 memory: 18108 grad_norm: 3.8334 loss: 3.7647 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1846 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.5801 2023/02/02 01:56:16 - mmengine - INFO - Epoch(train) [151][ 860/1879] lr: 4.6143e-02 eta: 1 day, 4:07:52 time: 0.5059 data_time: 0.0394 memory: 18108 grad_norm: 3.8445 loss: 3.7595 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.1993 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.5602 2023/02/02 01:56:26 - mmengine - INFO - Epoch(train) [151][ 880/1879] lr: 4.6135e-02 eta: 1 day, 4:07:41 time: 0.5041 data_time: 0.0295 memory: 18108 grad_norm: 3.8264 loss: 3.8077 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1993 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.6085 2023/02/02 01:56:37 - mmengine - INFO - Epoch(train) [151][ 900/1879] lr: 4.6128e-02 eta: 1 day, 4:07:31 time: 0.5203 data_time: 0.0376 memory: 18108 grad_norm: 3.7824 loss: 3.5119 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9225 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5894 2023/02/02 01:56:47 - mmengine - INFO - Epoch(train) [151][ 920/1879] lr: 4.6120e-02 eta: 1 day, 4:07:21 time: 0.4958 data_time: 0.0311 memory: 18108 grad_norm: 3.8377 loss: 3.7168 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0979 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.6190 2023/02/02 01:56:57 - mmengine - INFO - Epoch(train) [151][ 940/1879] lr: 4.6113e-02 eta: 1 day, 4:07:11 time: 0.5074 data_time: 0.0370 memory: 18108 grad_norm: 3.8585 loss: 4.3271 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.6532 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.6739 2023/02/02 01:57:07 - mmengine - INFO - Epoch(train) [151][ 960/1879] lr: 4.6105e-02 eta: 1 day, 4:07:01 time: 0.5229 data_time: 0.0376 memory: 18108 grad_norm: 3.7413 loss: 3.8596 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1840 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.6756 2023/02/02 01:57:18 - mmengine - INFO - Epoch(train) [151][ 980/1879] lr: 4.6097e-02 eta: 1 day, 4:06:50 time: 0.5021 data_time: 0.0361 memory: 18108 grad_norm: 3.7975 loss: 3.8750 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.2724 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.6026 2023/02/02 01:57:28 - mmengine - INFO - Epoch(train) [151][1000/1879] lr: 4.6090e-02 eta: 1 day, 4:06:40 time: 0.4996 data_time: 0.0286 memory: 18108 grad_norm: 3.8011 loss: 3.6989 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1219 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5770 2023/02/02 01:57:38 - mmengine - INFO - Epoch(train) [151][1020/1879] lr: 4.6082e-02 eta: 1 day, 4:06:30 time: 0.5148 data_time: 0.0449 memory: 18108 grad_norm: 3.7980 loss: 3.8569 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1981 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.6588 2023/02/02 01:57:48 - mmengine - INFO - Epoch(train) [151][1040/1879] lr: 4.6075e-02 eta: 1 day, 4:06:19 time: 0.5108 data_time: 0.0296 memory: 18108 grad_norm: 3.7423 loss: 3.7716 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1459 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.6257 2023/02/02 01:57:58 - mmengine - INFO - Epoch(train) [151][1060/1879] lr: 4.6067e-02 eta: 1 day, 4:06:09 time: 0.4977 data_time: 0.0405 memory: 18108 grad_norm: 3.8195 loss: 3.9107 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3767 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.5340 2023/02/02 01:58:08 - mmengine - INFO - Epoch(train) [151][1080/1879] lr: 4.6060e-02 eta: 1 day, 4:05:59 time: 0.5186 data_time: 0.0383 memory: 18108 grad_norm: 3.8062 loss: 3.9505 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.3564 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.5940 2023/02/02 01:58:19 - mmengine - INFO - Epoch(train) [151][1100/1879] lr: 4.6052e-02 eta: 1 day, 4:05:49 time: 0.5096 data_time: 0.0393 memory: 18108 grad_norm: 3.7702 loss: 3.9927 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4594 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.5333 2023/02/02 01:58:29 - mmengine - INFO - Epoch(train) [151][1120/1879] lr: 4.6045e-02 eta: 1 day, 4:05:38 time: 0.4974 data_time: 0.0338 memory: 18108 grad_norm: 3.7971 loss: 3.7794 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1958 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.5836 2023/02/02 01:58:39 - mmengine - INFO - Epoch(train) [151][1140/1879] lr: 4.6037e-02 eta: 1 day, 4:05:28 time: 0.5045 data_time: 0.0335 memory: 18108 grad_norm: 3.8217 loss: 3.5934 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9533 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.6401 2023/02/02 01:58:44 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 01:58:49 - mmengine - INFO - Epoch(train) [151][1160/1879] lr: 4.6030e-02 eta: 1 day, 4:05:18 time: 0.5236 data_time: 0.0408 memory: 18108 grad_norm: 3.8247 loss: 3.8859 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.2315 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.6543 2023/02/02 01:58:59 - mmengine - INFO - Epoch(train) [151][1180/1879] lr: 4.6022e-02 eta: 1 day, 4:05:08 time: 0.5080 data_time: 0.0337 memory: 18108 grad_norm: 3.7444 loss: 3.8347 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.1759 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.6588 2023/02/02 01:59:10 - mmengine - INFO - Epoch(train) [151][1200/1879] lr: 4.6015e-02 eta: 1 day, 4:04:58 time: 0.5104 data_time: 0.0352 memory: 18108 grad_norm: 3.8199 loss: 3.7782 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1451 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.6330 2023/02/02 01:59:20 - mmengine - INFO - Epoch(train) [151][1220/1879] lr: 4.6007e-02 eta: 1 day, 4:04:47 time: 0.5215 data_time: 0.0338 memory: 18108 grad_norm: 4.0668 loss: 3.8910 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3054 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.5857 2023/02/02 01:59:30 - mmengine - INFO - Epoch(train) [151][1240/1879] lr: 4.6000e-02 eta: 1 day, 4:04:37 time: 0.5201 data_time: 0.0353 memory: 18108 grad_norm: 3.7994 loss: 3.7812 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0829 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6984 2023/02/02 01:59:41 - mmengine - INFO - Epoch(train) [151][1260/1879] lr: 4.5992e-02 eta: 1 day, 4:04:27 time: 0.5033 data_time: 0.0325 memory: 18108 grad_norm: 3.7322 loss: 3.9663 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2636 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.7027 2023/02/02 01:59:51 - mmengine - INFO - Epoch(train) [151][1280/1879] lr: 4.5985e-02 eta: 1 day, 4:04:17 time: 0.5042 data_time: 0.0359 memory: 18108 grad_norm: 3.6673 loss: 3.9034 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.2607 top1_acc_1: 0.5412 top5_acc_1: 0.7176 loss_cls_1: 1.6427 2023/02/02 02:00:01 - mmengine - INFO - Epoch(train) [151][1300/1879] lr: 4.5977e-02 eta: 1 day, 4:04:07 time: 0.5252 data_time: 0.0401 memory: 18108 grad_norm: 3.7074 loss: 3.9798 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2720 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.7078 2023/02/02 02:00:11 - mmengine - INFO - Epoch(train) [151][1320/1879] lr: 4.5970e-02 eta: 1 day, 4:03:56 time: 0.5006 data_time: 0.0365 memory: 18108 grad_norm: 3.7592 loss: 3.9363 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3225 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.6138 2023/02/02 02:00:21 - mmengine - INFO - Epoch(train) [151][1340/1879] lr: 4.5962e-02 eta: 1 day, 4:03:46 time: 0.5129 data_time: 0.0331 memory: 18108 grad_norm: 3.7175 loss: 3.8596 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2337 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.6259 2023/02/02 02:00:32 - mmengine - INFO - Epoch(train) [151][1360/1879] lr: 4.5955e-02 eta: 1 day, 4:03:36 time: 0.5162 data_time: 0.0333 memory: 18108 grad_norm: 3.7942 loss: 3.9605 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2729 top1_acc_1: 0.5412 top5_acc_1: 0.6941 loss_cls_1: 1.6875 2023/02/02 02:00:42 - mmengine - INFO - Epoch(train) [151][1380/1879] lr: 4.5947e-02 eta: 1 day, 4:03:26 time: 0.5057 data_time: 0.0320 memory: 18108 grad_norm: 3.8130 loss: 3.8847 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3457 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.5390 2023/02/02 02:00:52 - mmengine - INFO - Epoch(train) [151][1400/1879] lr: 4.5940e-02 eta: 1 day, 4:03:16 time: 0.5137 data_time: 0.0353 memory: 18108 grad_norm: 3.7631 loss: 3.8564 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1729 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.6834 2023/02/02 02:01:03 - mmengine - INFO - Epoch(train) [151][1420/1879] lr: 4.5932e-02 eta: 1 day, 4:03:06 time: 0.5154 data_time: 0.0315 memory: 18108 grad_norm: 3.8003 loss: 3.8145 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2044 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.6101 2023/02/02 02:01:13 - mmengine - INFO - Epoch(train) [151][1440/1879] lr: 4.5925e-02 eta: 1 day, 4:02:55 time: 0.5211 data_time: 0.0433 memory: 18108 grad_norm: 3.7882 loss: 3.8372 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2466 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.5906 2023/02/02 02:01:23 - mmengine - INFO - Epoch(train) [151][1460/1879] lr: 4.5917e-02 eta: 1 day, 4:02:45 time: 0.5008 data_time: 0.0312 memory: 18108 grad_norm: 3.7326 loss: 3.7563 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1624 top1_acc_1: 0.6471 top5_acc_1: 0.7647 loss_cls_1: 1.5939 2023/02/02 02:01:34 - mmengine - INFO - Epoch(train) [151][1480/1879] lr: 4.5910e-02 eta: 1 day, 4:02:35 time: 0.5234 data_time: 0.0357 memory: 18108 grad_norm: 3.7859 loss: 3.9115 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3161 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.5955 2023/02/02 02:01:44 - mmengine - INFO - Epoch(train) [151][1500/1879] lr: 4.5902e-02 eta: 1 day, 4:02:25 time: 0.5127 data_time: 0.0338 memory: 18108 grad_norm: 3.8125 loss: 3.8998 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.3073 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.5925 2023/02/02 02:01:54 - mmengine - INFO - Epoch(train) [151][1520/1879] lr: 4.5895e-02 eta: 1 day, 4:02:15 time: 0.5100 data_time: 0.0408 memory: 18108 grad_norm: 3.7766 loss: 3.8158 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2203 top1_acc_1: 0.6588 top5_acc_1: 0.7882 loss_cls_1: 1.5955 2023/02/02 02:02:04 - mmengine - INFO - Epoch(train) [151][1540/1879] lr: 4.5887e-02 eta: 1 day, 4:02:05 time: 0.5191 data_time: 0.0319 memory: 18108 grad_norm: 3.8030 loss: 4.0237 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4053 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.6183 2023/02/02 02:02:15 - mmengine - INFO - Epoch(train) [151][1560/1879] lr: 4.5880e-02 eta: 1 day, 4:01:54 time: 0.5218 data_time: 0.0367 memory: 18108 grad_norm: 3.6925 loss: 3.9228 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.3016 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.6212 2023/02/02 02:02:25 - mmengine - INFO - Epoch(train) [151][1580/1879] lr: 4.5872e-02 eta: 1 day, 4:01:44 time: 0.5179 data_time: 0.0386 memory: 18108 grad_norm: 3.7546 loss: 3.7104 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0577 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.6527 2023/02/02 02:02:36 - mmengine - INFO - Epoch(train) [151][1600/1879] lr: 4.5865e-02 eta: 1 day, 4:01:34 time: 0.5202 data_time: 0.0382 memory: 18108 grad_norm: 3.7727 loss: 3.7482 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1487 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.5994 2023/02/02 02:02:47 - mmengine - INFO - Epoch(train) [151][1620/1879] lr: 4.5857e-02 eta: 1 day, 4:01:25 time: 0.5440 data_time: 0.0329 memory: 18108 grad_norm: 3.7576 loss: 3.6823 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0671 top1_acc_1: 0.6941 top5_acc_1: 0.8118 loss_cls_1: 1.6152 2023/02/02 02:02:57 - mmengine - INFO - Epoch(train) [151][1640/1879] lr: 4.5850e-02 eta: 1 day, 4:01:14 time: 0.5066 data_time: 0.0333 memory: 18108 grad_norm: 3.8054 loss: 3.9833 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.2960 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.6872 2023/02/02 02:03:07 - mmengine - INFO - Epoch(train) [151][1660/1879] lr: 4.5842e-02 eta: 1 day, 4:01:04 time: 0.5174 data_time: 0.0335 memory: 18108 grad_norm: 3.7202 loss: 3.9101 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2865 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.6236 2023/02/02 02:03:18 - mmengine - INFO - Epoch(train) [151][1680/1879] lr: 4.5835e-02 eta: 1 day, 4:00:54 time: 0.5370 data_time: 0.0349 memory: 18108 grad_norm: 3.8042 loss: 3.8721 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2922 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.5799 2023/02/02 02:03:28 - mmengine - INFO - Epoch(train) [151][1700/1879] lr: 4.5827e-02 eta: 1 day, 4:00:44 time: 0.5136 data_time: 0.0347 memory: 18108 grad_norm: 3.8225 loss: 3.7446 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2332 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.5114 2023/02/02 02:03:38 - mmengine - INFO - Epoch(train) [151][1720/1879] lr: 4.5820e-02 eta: 1 day, 4:00:34 time: 0.5087 data_time: 0.0396 memory: 18108 grad_norm: 3.8039 loss: 3.8674 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1937 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.6737 2023/02/02 02:03:49 - mmengine - INFO - Epoch(train) [151][1740/1879] lr: 4.5812e-02 eta: 1 day, 4:00:24 time: 0.5095 data_time: 0.0344 memory: 18108 grad_norm: 3.7862 loss: 3.8098 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.1416 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.6683 2023/02/02 02:03:59 - mmengine - INFO - Epoch(train) [151][1760/1879] lr: 4.5805e-02 eta: 1 day, 4:00:14 time: 0.5186 data_time: 0.0327 memory: 18108 grad_norm: 3.7465 loss: 3.9721 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2701 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.7021 2023/02/02 02:04:09 - mmengine - INFO - Epoch(train) [151][1780/1879] lr: 4.5797e-02 eta: 1 day, 4:00:03 time: 0.4908 data_time: 0.0351 memory: 18108 grad_norm: 3.7175 loss: 3.9507 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3589 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.5919 2023/02/02 02:04:19 - mmengine - INFO - Epoch(train) [151][1800/1879] lr: 4.5790e-02 eta: 1 day, 3:59:53 time: 0.5295 data_time: 0.0471 memory: 18108 grad_norm: 3.7792 loss: 3.7252 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1046 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.6206 2023/02/02 02:04:30 - mmengine - INFO - Epoch(train) [151][1820/1879] lr: 4.5782e-02 eta: 1 day, 3:59:43 time: 0.5162 data_time: 0.0340 memory: 18108 grad_norm: 3.8114 loss: 3.9713 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3628 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.6085 2023/02/02 02:04:40 - mmengine - INFO - Epoch(train) [151][1840/1879] lr: 4.5775e-02 eta: 1 day, 3:59:33 time: 0.5118 data_time: 0.0352 memory: 18108 grad_norm: 3.8183 loss: 3.8894 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.2924 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.5970 2023/02/02 02:04:50 - mmengine - INFO - Epoch(train) [151][1860/1879] lr: 4.5767e-02 eta: 1 day, 3:59:23 time: 0.5083 data_time: 0.0418 memory: 18108 grad_norm: 3.7215 loss: 3.8693 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2940 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5752 2023/02/02 02:05:00 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 02:05:00 - mmengine - INFO - Epoch(train) [151][1879/1879] lr: 4.5760e-02 eta: 1 day, 3:59:13 time: 0.5010 data_time: 0.0344 memory: 18108 grad_norm: 3.8407 loss: 4.0512 top1_acc_0: 0.5714 top5_acc_0: 0.8571 loss_cls_0: 2.3973 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.6539 2023/02/02 02:05:15 - mmengine - INFO - Epoch(train) [152][ 20/1879] lr: 4.5753e-02 eta: 1 day, 3:59:05 time: 0.7120 data_time: 0.2487 memory: 18108 grad_norm: 3.7315 loss: 3.6196 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.0811 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.5385 2023/02/02 02:05:24 - mmengine - INFO - Epoch(train) [152][ 40/1879] lr: 4.5745e-02 eta: 1 day, 3:58:55 time: 0.4762 data_time: 0.0349 memory: 18108 grad_norm: 3.6530 loss: 3.7276 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1849 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5427 2023/02/02 02:05:34 - mmengine - INFO - Epoch(train) [152][ 60/1879] lr: 4.5738e-02 eta: 1 day, 3:58:44 time: 0.4894 data_time: 0.0330 memory: 18108 grad_norm: 3.7767 loss: 3.9232 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2928 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.6304 2023/02/02 02:05:44 - mmengine - INFO - Epoch(train) [152][ 80/1879] lr: 4.5730e-02 eta: 1 day, 3:58:34 time: 0.4992 data_time: 0.0429 memory: 18108 grad_norm: 3.8156 loss: 3.6812 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1239 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.5573 2023/02/02 02:05:54 - mmengine - INFO - Epoch(train) [152][ 100/1879] lr: 4.5723e-02 eta: 1 day, 3:58:23 time: 0.4911 data_time: 0.0362 memory: 18108 grad_norm: 3.8572 loss: 3.8589 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2221 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.6368 2023/02/02 02:06:03 - mmengine - INFO - Epoch(train) [152][ 120/1879] lr: 4.5715e-02 eta: 1 day, 3:58:13 time: 0.4769 data_time: 0.0347 memory: 18108 grad_norm: 3.8499 loss: 3.9145 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.3154 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.5991 2023/02/02 02:06:14 - mmengine - INFO - Epoch(train) [152][ 140/1879] lr: 4.5708e-02 eta: 1 day, 3:58:02 time: 0.5131 data_time: 0.0347 memory: 18108 grad_norm: 3.8487 loss: 3.7737 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.1953 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.5784 2023/02/02 02:06:23 - mmengine - INFO - Epoch(train) [152][ 160/1879] lr: 4.5700e-02 eta: 1 day, 3:57:52 time: 0.4862 data_time: 0.0412 memory: 18108 grad_norm: 3.7366 loss: 3.8129 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3316 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.4812 2023/02/02 02:06:33 - mmengine - INFO - Epoch(train) [152][ 180/1879] lr: 4.5693e-02 eta: 1 day, 3:57:41 time: 0.4853 data_time: 0.0367 memory: 18108 grad_norm: 3.7255 loss: 3.6619 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1790 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.4829 2023/02/02 02:06:43 - mmengine - INFO - Epoch(train) [152][ 200/1879] lr: 4.5685e-02 eta: 1 day, 3:57:31 time: 0.4762 data_time: 0.0338 memory: 18108 grad_norm: 3.7267 loss: 3.5901 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.1231 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.4670 2023/02/02 02:06:53 - mmengine - INFO - Epoch(train) [152][ 220/1879] lr: 4.5678e-02 eta: 1 day, 3:57:20 time: 0.5042 data_time: 0.0352 memory: 18108 grad_norm: 3.7722 loss: 3.8962 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.3813 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.5150 2023/02/02 02:07:03 - mmengine - INFO - Epoch(train) [152][ 240/1879] lr: 4.5670e-02 eta: 1 day, 3:57:10 time: 0.4880 data_time: 0.0440 memory: 18108 grad_norm: 3.8209 loss: 3.9716 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3878 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.5837 2023/02/02 02:07:12 - mmengine - INFO - Epoch(train) [152][ 260/1879] lr: 4.5663e-02 eta: 1 day, 3:56:59 time: 0.4807 data_time: 0.0351 memory: 18108 grad_norm: 3.8444 loss: 4.1379 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5603 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.5776 2023/02/02 02:07:18 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 02:07:22 - mmengine - INFO - Epoch(train) [152][ 280/1879] lr: 4.5655e-02 eta: 1 day, 3:56:49 time: 0.4985 data_time: 0.0337 memory: 18108 grad_norm: 3.8218 loss: 4.0148 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.4777 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.5370 2023/02/02 02:07:32 - mmengine - INFO - Epoch(train) [152][ 300/1879] lr: 4.5648e-02 eta: 1 day, 3:56:38 time: 0.4904 data_time: 0.0338 memory: 18108 grad_norm: 3.8299 loss: 3.9622 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.3731 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.5890 2023/02/02 02:07:42 - mmengine - INFO - Epoch(train) [152][ 320/1879] lr: 4.5640e-02 eta: 1 day, 3:56:28 time: 0.4909 data_time: 0.0424 memory: 18108 grad_norm: 3.7929 loss: 3.5855 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.0791 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.5064 2023/02/02 02:07:52 - mmengine - INFO - Epoch(train) [152][ 340/1879] lr: 4.5633e-02 eta: 1 day, 3:56:17 time: 0.5024 data_time: 0.0333 memory: 18108 grad_norm: 3.8043 loss: 4.0839 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4460 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.6379 2023/02/02 02:08:02 - mmengine - INFO - Epoch(train) [152][ 360/1879] lr: 4.5625e-02 eta: 1 day, 3:56:07 time: 0.4870 data_time: 0.0345 memory: 18108 grad_norm: 3.7664 loss: 3.4903 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.8913 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5989 2023/02/02 02:08:12 - mmengine - INFO - Epoch(train) [152][ 380/1879] lr: 4.5618e-02 eta: 1 day, 3:55:56 time: 0.4955 data_time: 0.0338 memory: 18108 grad_norm: 3.8100 loss: 3.9909 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3730 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6180 2023/02/02 02:08:21 - mmengine - INFO - Epoch(train) [152][ 400/1879] lr: 4.5610e-02 eta: 1 day, 3:55:46 time: 0.4886 data_time: 0.0328 memory: 18108 grad_norm: 3.8480 loss: 3.6688 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0871 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.5816 2023/02/02 02:08:31 - mmengine - INFO - Epoch(train) [152][ 420/1879] lr: 4.5603e-02 eta: 1 day, 3:55:36 time: 0.5050 data_time: 0.0355 memory: 18108 grad_norm: 3.8342 loss: 3.6580 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.0492 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.6088 2023/02/02 02:08:41 - mmengine - INFO - Epoch(train) [152][ 440/1879] lr: 4.5595e-02 eta: 1 day, 3:55:25 time: 0.4853 data_time: 0.0357 memory: 18108 grad_norm: 3.7697 loss: 3.7671 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0888 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.6783 2023/02/02 02:08:51 - mmengine - INFO - Epoch(train) [152][ 460/1879] lr: 4.5588e-02 eta: 1 day, 3:55:15 time: 0.4938 data_time: 0.0339 memory: 18108 grad_norm: 3.7134 loss: 3.6327 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.0469 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.5857 2023/02/02 02:09:01 - mmengine - INFO - Epoch(train) [152][ 480/1879] lr: 4.5580e-02 eta: 1 day, 3:55:04 time: 0.4979 data_time: 0.0405 memory: 18108 grad_norm: 3.8094 loss: 3.7900 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.2368 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.5532 2023/02/02 02:09:11 - mmengine - INFO - Epoch(train) [152][ 500/1879] lr: 4.5573e-02 eta: 1 day, 3:54:54 time: 0.4934 data_time: 0.0356 memory: 18108 grad_norm: 3.7835 loss: 4.0019 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3909 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6111 2023/02/02 02:09:21 - mmengine - INFO - Epoch(train) [152][ 520/1879] lr: 4.5565e-02 eta: 1 day, 3:54:43 time: 0.4824 data_time: 0.0349 memory: 18108 grad_norm: 3.8121 loss: 3.8890 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3910 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.4980 2023/02/02 02:09:31 - mmengine - INFO - Epoch(train) [152][ 540/1879] lr: 4.5558e-02 eta: 1 day, 3:54:33 time: 0.5080 data_time: 0.0342 memory: 18108 grad_norm: 3.7620 loss: 3.7137 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0818 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.6319 2023/02/02 02:09:41 - mmengine - INFO - Epoch(train) [152][ 560/1879] lr: 4.5550e-02 eta: 1 day, 3:54:23 time: 0.4957 data_time: 0.0412 memory: 18108 grad_norm: 3.7854 loss: 3.7546 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1886 top1_acc_1: 0.5176 top5_acc_1: 0.7176 loss_cls_1: 1.5660 2023/02/02 02:09:51 - mmengine - INFO - Epoch(train) [152][ 580/1879] lr: 4.5542e-02 eta: 1 day, 3:54:12 time: 0.4983 data_time: 0.0346 memory: 18108 grad_norm: 3.7480 loss: 3.8182 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2159 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.6024 2023/02/02 02:10:00 - mmengine - INFO - Epoch(train) [152][ 600/1879] lr: 4.5535e-02 eta: 1 day, 3:54:02 time: 0.4876 data_time: 0.0334 memory: 18108 grad_norm: 3.8302 loss: 3.9093 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2474 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.6618 2023/02/02 02:10:11 - mmengine - INFO - Epoch(train) [152][ 620/1879] lr: 4.5527e-02 eta: 1 day, 3:53:51 time: 0.5052 data_time: 0.0348 memory: 18108 grad_norm: 3.8508 loss: 3.9046 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2964 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.6082 2023/02/02 02:10:20 - mmengine - INFO - Epoch(train) [152][ 640/1879] lr: 4.5520e-02 eta: 1 day, 3:53:41 time: 0.4904 data_time: 0.0428 memory: 18108 grad_norm: 3.8088 loss: 4.0267 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.4554 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5714 2023/02/02 02:10:30 - mmengine - INFO - Epoch(train) [152][ 660/1879] lr: 4.5512e-02 eta: 1 day, 3:53:30 time: 0.4980 data_time: 0.0333 memory: 18108 grad_norm: 3.7523 loss: 3.6269 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1082 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.5186 2023/02/02 02:10:41 - mmengine - INFO - Epoch(train) [152][ 680/1879] lr: 4.5505e-02 eta: 1 day, 3:53:20 time: 0.5036 data_time: 0.0346 memory: 18108 grad_norm: 3.7124 loss: 3.7826 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1446 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.6380 2023/02/02 02:10:51 - mmengine - INFO - Epoch(train) [152][ 700/1879] lr: 4.5497e-02 eta: 1 day, 3:53:10 time: 0.5041 data_time: 0.0350 memory: 18108 grad_norm: 3.7908 loss: 3.7324 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.1759 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.5565 2023/02/02 02:11:01 - mmengine - INFO - Epoch(train) [152][ 720/1879] lr: 4.5490e-02 eta: 1 day, 3:52:59 time: 0.4973 data_time: 0.0340 memory: 18108 grad_norm: 3.8546 loss: 3.7585 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2321 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.5264 2023/02/02 02:11:11 - mmengine - INFO - Epoch(train) [152][ 740/1879] lr: 4.5482e-02 eta: 1 day, 3:52:49 time: 0.5066 data_time: 0.0341 memory: 18108 grad_norm: 3.8368 loss: 3.7953 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2487 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5466 2023/02/02 02:11:21 - mmengine - INFO - Epoch(train) [152][ 760/1879] lr: 4.5475e-02 eta: 1 day, 3:52:39 time: 0.4913 data_time: 0.0344 memory: 18108 grad_norm: 3.7822 loss: 3.8702 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2303 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.6399 2023/02/02 02:11:30 - mmengine - INFO - Epoch(train) [152][ 780/1879] lr: 4.5467e-02 eta: 1 day, 3:52:28 time: 0.4939 data_time: 0.0335 memory: 18108 grad_norm: 3.7527 loss: 3.6179 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1030 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.5149 2023/02/02 02:11:40 - mmengine - INFO - Epoch(train) [152][ 800/1879] lr: 4.5460e-02 eta: 1 day, 3:52:18 time: 0.5004 data_time: 0.0426 memory: 18108 grad_norm: 3.9039 loss: 4.0589 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.5140 top1_acc_1: 0.6235 top5_acc_1: 0.8941 loss_cls_1: 1.5449 2023/02/02 02:11:51 - mmengine - INFO - Epoch(train) [152][ 820/1879] lr: 4.5452e-02 eta: 1 day, 3:52:08 time: 0.5058 data_time: 0.0338 memory: 18108 grad_norm: 3.7538 loss: 3.5236 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0332 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.4904 2023/02/02 02:12:00 - mmengine - INFO - Epoch(train) [152][ 840/1879] lr: 4.5445e-02 eta: 1 day, 3:51:57 time: 0.4842 data_time: 0.0337 memory: 18108 grad_norm: 3.8143 loss: 3.9090 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2187 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.6902 2023/02/02 02:12:10 - mmengine - INFO - Epoch(train) [152][ 860/1879] lr: 4.5437e-02 eta: 1 day, 3:51:47 time: 0.5073 data_time: 0.0356 memory: 18108 grad_norm: 3.8095 loss: 3.7571 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.1750 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.5821 2023/02/02 02:12:20 - mmengine - INFO - Epoch(train) [152][ 880/1879] lr: 4.5430e-02 eta: 1 day, 3:51:36 time: 0.4998 data_time: 0.0427 memory: 18108 grad_norm: 3.8358 loss: 4.0088 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4753 top1_acc_1: 0.4941 top5_acc_1: 0.8235 loss_cls_1: 1.5335 2023/02/02 02:12:30 - mmengine - INFO - Epoch(train) [152][ 900/1879] lr: 4.5422e-02 eta: 1 day, 3:51:26 time: 0.4985 data_time: 0.0341 memory: 18108 grad_norm: 3.6923 loss: 3.9653 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.4295 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5358 2023/02/02 02:12:40 - mmengine - INFO - Epoch(train) [152][ 920/1879] lr: 4.5415e-02 eta: 1 day, 3:51:16 time: 0.4924 data_time: 0.0346 memory: 18108 grad_norm: 3.8253 loss: 3.9540 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3746 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.5793 2023/02/02 02:12:51 - mmengine - INFO - Epoch(train) [152][ 940/1879] lr: 4.5407e-02 eta: 1 day, 3:51:05 time: 0.5077 data_time: 0.0347 memory: 18108 grad_norm: 3.7839 loss: 3.5258 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9314 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.5945 2023/02/02 02:13:00 - mmengine - INFO - Epoch(train) [152][ 960/1879] lr: 4.5400e-02 eta: 1 day, 3:50:55 time: 0.4866 data_time: 0.0342 memory: 18108 grad_norm: 3.7812 loss: 3.7977 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2956 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.5021 2023/02/02 02:13:10 - mmengine - INFO - Epoch(train) [152][ 980/1879] lr: 4.5392e-02 eta: 1 day, 3:50:44 time: 0.5026 data_time: 0.0347 memory: 18108 grad_norm: 3.7539 loss: 3.7855 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.1748 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.6108 2023/02/02 02:13:20 - mmengine - INFO - Epoch(train) [152][1000/1879] lr: 4.5385e-02 eta: 1 day, 3:50:34 time: 0.5031 data_time: 0.0337 memory: 18108 grad_norm: 3.8168 loss: 3.6276 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0913 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.5363 2023/02/02 02:13:30 - mmengine - INFO - Epoch(train) [152][1020/1879] lr: 4.5377e-02 eta: 1 day, 3:50:24 time: 0.5028 data_time: 0.0350 memory: 18108 grad_norm: 3.7366 loss: 3.7904 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1278 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.6626 2023/02/02 02:13:40 - mmengine - INFO - Epoch(train) [152][1040/1879] lr: 4.5370e-02 eta: 1 day, 3:50:13 time: 0.4900 data_time: 0.0329 memory: 18108 grad_norm: 3.6791 loss: 3.6880 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1065 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.5816 2023/02/02 02:13:50 - mmengine - INFO - Epoch(train) [152][1060/1879] lr: 4.5362e-02 eta: 1 day, 3:50:03 time: 0.4972 data_time: 0.0360 memory: 18108 grad_norm: 3.7739 loss: 3.8832 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3324 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.5508 2023/02/02 02:14:00 - mmengine - INFO - Epoch(train) [152][1080/1879] lr: 4.5355e-02 eta: 1 day, 3:49:52 time: 0.4970 data_time: 0.0345 memory: 18108 grad_norm: 3.8497 loss: 3.9309 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.2963 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.6346 2023/02/02 02:14:10 - mmengine - INFO - Epoch(train) [152][1100/1879] lr: 4.5347e-02 eta: 1 day, 3:49:42 time: 0.5018 data_time: 0.0412 memory: 18108 grad_norm: 3.8781 loss: 3.9623 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3950 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.5672 2023/02/02 02:14:20 - mmengine - INFO - Epoch(train) [152][1120/1879] lr: 4.5340e-02 eta: 1 day, 3:49:32 time: 0.5003 data_time: 0.0326 memory: 18108 grad_norm: 3.7609 loss: 3.5332 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9531 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 1.5800 2023/02/02 02:14:31 - mmengine - INFO - Epoch(train) [152][1140/1879] lr: 4.5333e-02 eta: 1 day, 3:49:22 time: 0.5159 data_time: 0.0349 memory: 18108 grad_norm: 3.7150 loss: 3.7775 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1254 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.6521 2023/02/02 02:14:40 - mmengine - INFO - Epoch(train) [152][1160/1879] lr: 4.5325e-02 eta: 1 day, 3:49:11 time: 0.4831 data_time: 0.0337 memory: 18108 grad_norm: 3.7726 loss: 3.9561 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2573 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.6987 2023/02/02 02:14:51 - mmengine - INFO - Epoch(train) [152][1180/1879] lr: 4.5318e-02 eta: 1 day, 3:49:01 time: 0.5091 data_time: 0.0352 memory: 18108 grad_norm: 3.7322 loss: 3.8598 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 2.2154 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.6444 2023/02/02 02:15:01 - mmengine - INFO - Epoch(train) [152][1200/1879] lr: 4.5310e-02 eta: 1 day, 3:48:51 time: 0.5047 data_time: 0.0342 memory: 18108 grad_norm: 3.7601 loss: 3.7423 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2418 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.5005 2023/02/02 02:15:11 - mmengine - INFO - Epoch(train) [152][1220/1879] lr: 4.5303e-02 eta: 1 day, 3:48:40 time: 0.5101 data_time: 0.0349 memory: 18108 grad_norm: 3.7033 loss: 3.7919 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.2409 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5510 2023/02/02 02:15:21 - mmengine - INFO - Epoch(train) [152][1240/1879] lr: 4.5295e-02 eta: 1 day, 3:48:30 time: 0.4978 data_time: 0.0358 memory: 18108 grad_norm: 3.7241 loss: 3.7127 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2050 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.5077 2023/02/02 02:15:31 - mmengine - INFO - Epoch(train) [152][1260/1879] lr: 4.5288e-02 eta: 1 day, 3:48:20 time: 0.5115 data_time: 0.0425 memory: 18108 grad_norm: 3.7872 loss: 3.6650 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 2.0632 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.6017 2023/02/02 02:15:37 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 02:15:42 - mmengine - INFO - Epoch(train) [152][1280/1879] lr: 4.5280e-02 eta: 1 day, 3:48:10 time: 0.5279 data_time: 0.0328 memory: 18108 grad_norm: 3.7141 loss: 3.8058 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.2978 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5080 2023/02/02 02:15:52 - mmengine - INFO - Epoch(train) [152][1300/1879] lr: 4.5273e-02 eta: 1 day, 3:47:59 time: 0.4941 data_time: 0.0344 memory: 18108 grad_norm: 3.6481 loss: 3.8499 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2286 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.6213 2023/02/02 02:16:02 - mmengine - INFO - Epoch(train) [152][1320/1879] lr: 4.5265e-02 eta: 1 day, 3:47:49 time: 0.5006 data_time: 0.0333 memory: 18108 grad_norm: 3.7339 loss: 3.7164 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.1797 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5367 2023/02/02 02:16:12 - mmengine - INFO - Epoch(train) [152][1340/1879] lr: 4.5258e-02 eta: 1 day, 3:47:39 time: 0.5210 data_time: 0.0399 memory: 18108 grad_norm: 3.7983 loss: 3.4774 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.8981 top1_acc_1: 0.6118 top5_acc_1: 0.7176 loss_cls_1: 1.5793 2023/02/02 02:16:22 - mmengine - INFO - Epoch(train) [152][1360/1879] lr: 4.5250e-02 eta: 1 day, 3:47:29 time: 0.5079 data_time: 0.0337 memory: 18108 grad_norm: 3.8200 loss: 4.0343 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.3958 top1_acc_1: 0.7176 top5_acc_1: 0.8235 loss_cls_1: 1.6385 2023/02/02 02:16:32 - mmengine - INFO - Epoch(train) [152][1380/1879] lr: 4.5243e-02 eta: 1 day, 3:47:18 time: 0.5018 data_time: 0.0341 memory: 18108 grad_norm: 3.8131 loss: 3.7656 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1906 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.5751 2023/02/02 02:16:43 - mmengine - INFO - Epoch(train) [152][1400/1879] lr: 4.5235e-02 eta: 1 day, 3:47:08 time: 0.5135 data_time: 0.0372 memory: 18108 grad_norm: 3.7650 loss: 4.0847 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.4235 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6612 2023/02/02 02:16:53 - mmengine - INFO - Epoch(train) [152][1420/1879] lr: 4.5228e-02 eta: 1 day, 3:46:58 time: 0.5431 data_time: 0.0375 memory: 18108 grad_norm: 3.7430 loss: 3.6644 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 2.0726 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.5919 2023/02/02 02:17:04 - mmengine - INFO - Epoch(train) [152][1440/1879] lr: 4.5220e-02 eta: 1 day, 3:46:48 time: 0.5186 data_time: 0.0367 memory: 18108 grad_norm: 3.7631 loss: 4.0198 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3650 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.6547 2023/02/02 02:17:15 - mmengine - INFO - Epoch(train) [152][1460/1879] lr: 4.5213e-02 eta: 1 day, 3:46:38 time: 0.5409 data_time: 0.0308 memory: 18108 grad_norm: 3.9142 loss: 4.2226 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.6503 top1_acc_1: 0.6235 top5_acc_1: 0.9059 loss_cls_1: 1.5723 2023/02/02 02:17:25 - mmengine - INFO - Epoch(train) [152][1480/1879] lr: 4.5205e-02 eta: 1 day, 3:46:28 time: 0.5219 data_time: 0.0365 memory: 18108 grad_norm: 3.8739 loss: 3.9669 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.3434 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.6236 2023/02/02 02:17:36 - mmengine - INFO - Epoch(train) [152][1500/1879] lr: 4.5198e-02 eta: 1 day, 3:46:18 time: 0.5308 data_time: 0.0302 memory: 18108 grad_norm: 3.7957 loss: 3.7282 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0443 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.6839 2023/02/02 02:17:46 - mmengine - INFO - Epoch(train) [152][1520/1879] lr: 4.5190e-02 eta: 1 day, 3:46:09 time: 0.5329 data_time: 0.0382 memory: 18108 grad_norm: 3.7379 loss: 3.6767 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0272 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.6495 2023/02/02 02:17:57 - mmengine - INFO - Epoch(train) [152][1540/1879] lr: 4.5183e-02 eta: 1 day, 3:45:59 time: 0.5313 data_time: 0.0287 memory: 18108 grad_norm: 3.8013 loss: 3.8582 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2349 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.6233 2023/02/02 02:18:07 - mmengine - INFO - Epoch(train) [152][1560/1879] lr: 4.5175e-02 eta: 1 day, 3:45:48 time: 0.5158 data_time: 0.0374 memory: 18108 grad_norm: 3.7618 loss: 3.8316 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1632 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.6684 2023/02/02 02:18:18 - mmengine - INFO - Epoch(train) [152][1580/1879] lr: 4.5168e-02 eta: 1 day, 3:45:39 time: 0.5285 data_time: 0.0304 memory: 18108 grad_norm: 3.7220 loss: 3.7559 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1557 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.6003 2023/02/02 02:18:29 - mmengine - INFO - Epoch(train) [152][1600/1879] lr: 4.5160e-02 eta: 1 day, 3:45:29 time: 0.5455 data_time: 0.0440 memory: 18108 grad_norm: 3.8690 loss: 3.8989 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2725 top1_acc_1: 0.4941 top5_acc_1: 0.7529 loss_cls_1: 1.6264 2023/02/02 02:18:39 - mmengine - INFO - Epoch(train) [152][1620/1879] lr: 4.5153e-02 eta: 1 day, 3:45:19 time: 0.5260 data_time: 0.0284 memory: 18108 grad_norm: 3.7968 loss: 3.6595 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.0726 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.5869 2023/02/02 02:18:50 - mmengine - INFO - Epoch(train) [152][1640/1879] lr: 4.5145e-02 eta: 1 day, 3:45:09 time: 0.5312 data_time: 0.0359 memory: 18108 grad_norm: 3.7760 loss: 3.7134 top1_acc_0: 0.1250 top5_acc_0: 0.5625 loss_cls_0: 2.0976 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6158 2023/02/02 02:19:01 - mmengine - INFO - Epoch(train) [152][1660/1879] lr: 4.5138e-02 eta: 1 day, 3:44:59 time: 0.5441 data_time: 0.0289 memory: 18108 grad_norm: 3.7371 loss: 3.7099 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.1243 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.5856 2023/02/02 02:19:12 - mmengine - INFO - Epoch(train) [152][1680/1879] lr: 4.5130e-02 eta: 1 day, 3:44:49 time: 0.5442 data_time: 0.0413 memory: 18108 grad_norm: 3.7771 loss: 3.6797 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1099 top1_acc_1: 0.5647 top5_acc_1: 0.8824 loss_cls_1: 1.5699 2023/02/02 02:19:23 - mmengine - INFO - Epoch(train) [152][1700/1879] lr: 4.5123e-02 eta: 1 day, 3:44:39 time: 0.5300 data_time: 0.0303 memory: 18108 grad_norm: 3.7729 loss: 3.8935 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3261 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.5674 2023/02/02 02:19:34 - mmengine - INFO - Epoch(train) [152][1720/1879] lr: 4.5115e-02 eta: 1 day, 3:44:30 time: 0.5541 data_time: 0.0373 memory: 18108 grad_norm: 3.7543 loss: 3.8055 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1904 top1_acc_1: 0.4824 top5_acc_1: 0.7412 loss_cls_1: 1.6151 2023/02/02 02:19:44 - mmengine - INFO - Epoch(train) [152][1740/1879] lr: 4.5108e-02 eta: 1 day, 3:44:20 time: 0.5359 data_time: 0.0383 memory: 18108 grad_norm: 3.8483 loss: 3.9596 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.2683 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.6912 2023/02/02 02:19:55 - mmengine - INFO - Epoch(train) [152][1760/1879] lr: 4.5100e-02 eta: 1 day, 3:44:10 time: 0.5376 data_time: 0.0371 memory: 18108 grad_norm: 3.7612 loss: 3.7521 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0869 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.6653 2023/02/02 02:20:06 - mmengine - INFO - Epoch(train) [152][1780/1879] lr: 4.5093e-02 eta: 1 day, 3:44:00 time: 0.5440 data_time: 0.0317 memory: 18108 grad_norm: 3.6827 loss: 3.7765 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2557 top1_acc_1: 0.5529 top5_acc_1: 0.9059 loss_cls_1: 1.5209 2023/02/02 02:20:17 - mmengine - INFO - Epoch(train) [152][1800/1879] lr: 4.5085e-02 eta: 1 day, 3:43:51 time: 0.5550 data_time: 0.0444 memory: 18108 grad_norm: 3.7269 loss: 3.9320 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.4107 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5213 2023/02/02 02:20:28 - mmengine - INFO - Epoch(train) [152][1820/1879] lr: 4.5078e-02 eta: 1 day, 3:43:41 time: 0.5316 data_time: 0.0313 memory: 18108 grad_norm: 3.7375 loss: 3.8647 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2530 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.6117 2023/02/02 02:20:39 - mmengine - INFO - Epoch(train) [152][1840/1879] lr: 4.5070e-02 eta: 1 day, 3:43:31 time: 0.5391 data_time: 0.0369 memory: 18108 grad_norm: 3.7952 loss: 3.7689 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.1547 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.6142 2023/02/02 02:20:49 - mmengine - INFO - Epoch(train) [152][1860/1879] lr: 4.5063e-02 eta: 1 day, 3:43:21 time: 0.5432 data_time: 0.0296 memory: 18108 grad_norm: 3.8485 loss: 3.7906 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2296 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.5610 2023/02/02 02:20:59 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 02:20:59 - mmengine - INFO - Epoch(train) [152][1879/1879] lr: 4.5056e-02 eta: 1 day, 3:43:12 time: 0.5195 data_time: 0.0376 memory: 18108 grad_norm: 3.9537 loss: 4.0148 top1_acc_0: 0.7143 top5_acc_0: 0.8571 loss_cls_0: 2.3521 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.6627 2023/02/02 02:21:00 - mmengine - INFO - Saving checkpoint at 152 epochs 2023/02/02 02:21:10 - mmengine - INFO - Epoch(val) [152][ 20/155] eta: 0:01:01 time: 0.4571 data_time: 0.3444 memory: 1906 2023/02/02 02:21:19 - mmengine - INFO - Epoch(val) [152][ 40/155] eta: 0:00:52 time: 0.4489 data_time: 0.3377 memory: 1906 2023/02/02 02:21:28 - mmengine - INFO - Epoch(val) [152][ 60/155] eta: 0:00:42 time: 0.4277 data_time: 0.3169 memory: 1906 2023/02/02 02:21:37 - mmengine - INFO - Epoch(val) [152][ 80/155] eta: 0:00:33 time: 0.4604 data_time: 0.3490 memory: 1906 2023/02/02 02:21:46 - mmengine - INFO - Epoch(val) [152][100/155] eta: 0:00:24 time: 0.4417 data_time: 0.3307 memory: 1906 2023/02/02 02:21:55 - mmengine - INFO - Epoch(val) [152][120/155] eta: 0:00:15 time: 0.4604 data_time: 0.3506 memory: 1906 2023/02/02 02:22:04 - mmengine - INFO - Epoch(val) [152][140/155] eta: 0:00:06 time: 0.4393 data_time: 0.3285 memory: 1906 2023/02/02 02:22:12 - mmengine - INFO - Epoch(val) [152][155/155] acc/top1: 0.5031 acc/top5: 0.7468 acc/mean1: 0.5028 2023/02/02 02:22:26 - mmengine - INFO - Epoch(train) [153][ 20/1879] lr: 4.5048e-02 eta: 1 day, 3:43:04 time: 0.7260 data_time: 0.2617 memory: 18108 grad_norm: 3.7454 loss: 3.8985 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 2.2792 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.6193 2023/02/02 02:22:36 - mmengine - INFO - Epoch(train) [153][ 40/1879] lr: 4.5041e-02 eta: 1 day, 3:42:54 time: 0.4838 data_time: 0.0337 memory: 18108 grad_norm: 3.7527 loss: 3.7814 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2148 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.5665 2023/02/02 02:22:46 - mmengine - INFO - Epoch(train) [153][ 60/1879] lr: 4.5033e-02 eta: 1 day, 3:42:43 time: 0.5084 data_time: 0.0364 memory: 18108 grad_norm: 3.7708 loss: 3.7248 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1962 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.5286 2023/02/02 02:22:56 - mmengine - INFO - Epoch(train) [153][ 80/1879] lr: 4.5026e-02 eta: 1 day, 3:42:33 time: 0.5061 data_time: 0.0400 memory: 18108 grad_norm: 3.8412 loss: 3.6019 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0808 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.5211 2023/02/02 02:23:06 - mmengine - INFO - Epoch(train) [153][ 100/1879] lr: 4.5018e-02 eta: 1 day, 3:42:23 time: 0.5034 data_time: 0.0372 memory: 18108 grad_norm: 3.7657 loss: 3.4869 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9583 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.5286 2023/02/02 02:23:16 - mmengine - INFO - Epoch(train) [153][ 120/1879] lr: 4.5011e-02 eta: 1 day, 3:42:12 time: 0.4910 data_time: 0.0340 memory: 18108 grad_norm: 3.7743 loss: 3.6275 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 2.1024 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.5251 2023/02/02 02:23:27 - mmengine - INFO - Epoch(train) [153][ 140/1879] lr: 4.5003e-02 eta: 1 day, 3:42:03 time: 0.5457 data_time: 0.0465 memory: 18108 grad_norm: 3.7277 loss: 3.5865 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0102 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.5763 2023/02/02 02:23:37 - mmengine - INFO - Epoch(train) [153][ 160/1879] lr: 4.4996e-02 eta: 1 day, 3:41:52 time: 0.5019 data_time: 0.0298 memory: 18108 grad_norm: 3.7735 loss: 3.6428 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2182 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.4246 2023/02/02 02:23:47 - mmengine - INFO - Epoch(train) [153][ 180/1879] lr: 4.4988e-02 eta: 1 day, 3:41:42 time: 0.4982 data_time: 0.0357 memory: 18108 grad_norm: 3.7746 loss: 3.7312 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1864 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.5448 2023/02/02 02:23:57 - mmengine - INFO - Epoch(train) [153][ 200/1879] lr: 4.4981e-02 eta: 1 day, 3:41:32 time: 0.5054 data_time: 0.0303 memory: 18108 grad_norm: 3.7943 loss: 3.4964 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.9389 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5575 2023/02/02 02:24:08 - mmengine - INFO - Epoch(train) [153][ 220/1879] lr: 4.4973e-02 eta: 1 day, 3:41:21 time: 0.5151 data_time: 0.0416 memory: 18108 grad_norm: 3.8137 loss: 3.7879 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2050 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.5830 2023/02/02 02:24:18 - mmengine - INFO - Epoch(train) [153][ 240/1879] lr: 4.4966e-02 eta: 1 day, 3:41:11 time: 0.5009 data_time: 0.0304 memory: 18108 grad_norm: 3.8880 loss: 3.6815 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.2834 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.3980 2023/02/02 02:24:28 - mmengine - INFO - Epoch(train) [153][ 260/1879] lr: 4.4958e-02 eta: 1 day, 3:41:01 time: 0.5141 data_time: 0.0335 memory: 18108 grad_norm: 3.7976 loss: 3.7539 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2358 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.5180 2023/02/02 02:24:38 - mmengine - INFO - Epoch(train) [153][ 280/1879] lr: 4.4951e-02 eta: 1 day, 3:40:51 time: 0.5227 data_time: 0.0393 memory: 18108 grad_norm: 3.8162 loss: 3.6422 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1067 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.5355 2023/02/02 02:24:49 - mmengine - INFO - Epoch(train) [153][ 300/1879] lr: 4.4943e-02 eta: 1 day, 3:40:41 time: 0.5088 data_time: 0.0372 memory: 18108 grad_norm: 3.8405 loss: 3.8032 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2683 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.5349 2023/02/02 02:24:59 - mmengine - INFO - Epoch(train) [153][ 320/1879] lr: 4.4936e-02 eta: 1 day, 3:40:30 time: 0.5026 data_time: 0.0289 memory: 18108 grad_norm: 3.7703 loss: 3.7467 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2149 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.5318 2023/02/02 02:25:09 - mmengine - INFO - Epoch(train) [153][ 340/1879] lr: 4.4928e-02 eta: 1 day, 3:40:20 time: 0.5134 data_time: 0.0363 memory: 18108 grad_norm: 3.9033 loss: 4.2058 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.5919 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.6139 2023/02/02 02:25:19 - mmengine - INFO - Epoch(train) [153][ 360/1879] lr: 4.4921e-02 eta: 1 day, 3:40:10 time: 0.5067 data_time: 0.0296 memory: 18108 grad_norm: 3.8075 loss: 3.7081 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.0758 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.6324 2023/02/02 02:25:29 - mmengine - INFO - Epoch(train) [153][ 380/1879] lr: 4.4913e-02 eta: 1 day, 3:40:00 time: 0.5062 data_time: 0.0359 memory: 18108 grad_norm: 3.8840 loss: 3.7471 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2250 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5221 2023/02/02 02:25:36 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 02:25:40 - mmengine - INFO - Epoch(train) [153][ 400/1879] lr: 4.4906e-02 eta: 1 day, 3:39:50 time: 0.5270 data_time: 0.0286 memory: 18108 grad_norm: 3.8166 loss: 3.8404 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2744 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.5660 2023/02/02 02:25:50 - mmengine - INFO - Epoch(train) [153][ 420/1879] lr: 4.4898e-02 eta: 1 day, 3:39:39 time: 0.5110 data_time: 0.0348 memory: 18108 grad_norm: 3.7824 loss: 3.7944 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2095 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5849 2023/02/02 02:26:01 - mmengine - INFO - Epoch(train) [153][ 440/1879] lr: 4.4891e-02 eta: 1 day, 3:39:29 time: 0.5294 data_time: 0.0297 memory: 18108 grad_norm: 3.7659 loss: 3.5386 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9725 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.5661 2023/02/02 02:26:11 - mmengine - INFO - Epoch(train) [153][ 460/1879] lr: 4.4883e-02 eta: 1 day, 3:39:19 time: 0.5219 data_time: 0.0362 memory: 18108 grad_norm: 3.7043 loss: 3.6934 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1079 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.5855 2023/02/02 02:26:22 - mmengine - INFO - Epoch(train) [153][ 480/1879] lr: 4.4876e-02 eta: 1 day, 3:39:09 time: 0.5255 data_time: 0.0364 memory: 18108 grad_norm: 3.8488 loss: 3.7056 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.1561 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.5494 2023/02/02 02:26:32 - mmengine - INFO - Epoch(train) [153][ 500/1879] lr: 4.4868e-02 eta: 1 day, 3:38:59 time: 0.5224 data_time: 0.0363 memory: 18108 grad_norm: 3.8405 loss: 3.8934 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.2792 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.6142 2023/02/02 02:26:42 - mmengine - INFO - Epoch(train) [153][ 520/1879] lr: 4.4861e-02 eta: 1 day, 3:38:49 time: 0.5178 data_time: 0.0293 memory: 18108 grad_norm: 3.8329 loss: 3.6454 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.0650 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.5805 2023/02/02 02:26:53 - mmengine - INFO - Epoch(train) [153][ 540/1879] lr: 4.4853e-02 eta: 1 day, 3:38:39 time: 0.5318 data_time: 0.0416 memory: 18108 grad_norm: 3.8188 loss: 3.7823 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2177 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.5647 2023/02/02 02:27:03 - mmengine - INFO - Epoch(train) [153][ 560/1879] lr: 4.4846e-02 eta: 1 day, 3:38:29 time: 0.5144 data_time: 0.0297 memory: 18108 grad_norm: 3.7776 loss: 3.7778 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1671 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.6107 2023/02/02 02:27:14 - mmengine - INFO - Epoch(train) [153][ 580/1879] lr: 4.4838e-02 eta: 1 day, 3:38:19 time: 0.5374 data_time: 0.0349 memory: 18108 grad_norm: 3.7810 loss: 3.6380 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0195 top1_acc_1: 0.6353 top5_acc_1: 0.9765 loss_cls_1: 1.6185 2023/02/02 02:27:25 - mmengine - INFO - Epoch(train) [153][ 600/1879] lr: 4.4831e-02 eta: 1 day, 3:38:09 time: 0.5399 data_time: 0.0278 memory: 18108 grad_norm: 3.7846 loss: 3.6798 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1138 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.5660 2023/02/02 02:27:35 - mmengine - INFO - Epoch(train) [153][ 620/1879] lr: 4.4823e-02 eta: 1 day, 3:37:59 time: 0.5129 data_time: 0.0348 memory: 18108 grad_norm: 3.7133 loss: 3.6186 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0893 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.5293 2023/02/02 02:27:46 - mmengine - INFO - Epoch(train) [153][ 640/1879] lr: 4.4816e-02 eta: 1 day, 3:37:49 time: 0.5325 data_time: 0.0299 memory: 18108 grad_norm: 3.7972 loss: 3.9767 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3560 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.6207 2023/02/02 02:27:56 - mmengine - INFO - Epoch(train) [153][ 660/1879] lr: 4.4808e-02 eta: 1 day, 3:37:39 time: 0.5216 data_time: 0.0368 memory: 18108 grad_norm: 3.8021 loss: 3.7061 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.2176 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.4885 2023/02/02 02:28:07 - mmengine - INFO - Epoch(train) [153][ 680/1879] lr: 4.4801e-02 eta: 1 day, 3:37:29 time: 0.5180 data_time: 0.0368 memory: 18108 grad_norm: 3.8024 loss: 3.7313 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1473 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.5840 2023/02/02 02:28:17 - mmengine - INFO - Epoch(train) [153][ 700/1879] lr: 4.4793e-02 eta: 1 day, 3:37:19 time: 0.5180 data_time: 0.0383 memory: 18108 grad_norm: 3.7702 loss: 3.8630 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2840 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5790 2023/02/02 02:28:28 - mmengine - INFO - Epoch(train) [153][ 720/1879] lr: 4.4786e-02 eta: 1 day, 3:37:09 time: 0.5366 data_time: 0.0277 memory: 18108 grad_norm: 3.8442 loss: 3.6528 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9782 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6746 2023/02/02 02:28:38 - mmengine - INFO - Epoch(train) [153][ 740/1879] lr: 4.4778e-02 eta: 1 day, 3:36:59 time: 0.5234 data_time: 0.0456 memory: 18108 grad_norm: 3.7290 loss: 3.8730 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.2629 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.6101 2023/02/02 02:28:49 - mmengine - INFO - Epoch(train) [153][ 760/1879] lr: 4.4771e-02 eta: 1 day, 3:36:49 time: 0.5116 data_time: 0.0294 memory: 18108 grad_norm: 3.7392 loss: 3.6770 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.1536 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.5234 2023/02/02 02:28:59 - mmengine - INFO - Epoch(train) [153][ 780/1879] lr: 4.4763e-02 eta: 1 day, 3:36:39 time: 0.5268 data_time: 0.0363 memory: 18108 grad_norm: 3.7820 loss: 3.6181 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.0616 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.5565 2023/02/02 02:29:10 - mmengine - INFO - Epoch(train) [153][ 800/1879] lr: 4.4756e-02 eta: 1 day, 3:36:29 time: 0.5194 data_time: 0.0283 memory: 18108 grad_norm: 3.7389 loss: 3.6232 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0746 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.5486 2023/02/02 02:29:20 - mmengine - INFO - Epoch(train) [153][ 820/1879] lr: 4.4748e-02 eta: 1 day, 3:36:19 time: 0.5284 data_time: 0.0364 memory: 18108 grad_norm: 3.8773 loss: 3.7494 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2757 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.4737 2023/02/02 02:29:31 - mmengine - INFO - Epoch(train) [153][ 840/1879] lr: 4.4741e-02 eta: 1 day, 3:36:09 time: 0.5312 data_time: 0.0284 memory: 18108 grad_norm: 3.8503 loss: 3.9007 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 2.2507 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.6500 2023/02/02 02:29:42 - mmengine - INFO - Epoch(train) [153][ 860/1879] lr: 4.4733e-02 eta: 1 day, 3:35:59 time: 0.5326 data_time: 0.0367 memory: 18108 grad_norm: 3.7190 loss: 3.6801 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0592 top1_acc_1: 0.6588 top5_acc_1: 0.9176 loss_cls_1: 1.6209 2023/02/02 02:29:52 - mmengine - INFO - Epoch(train) [153][ 880/1879] lr: 4.4726e-02 eta: 1 day, 3:35:49 time: 0.5306 data_time: 0.0290 memory: 18108 grad_norm: 3.8075 loss: 3.9755 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3449 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.6305 2023/02/02 02:30:03 - mmengine - INFO - Epoch(train) [153][ 900/1879] lr: 4.4718e-02 eta: 1 day, 3:35:39 time: 0.5350 data_time: 0.0356 memory: 18108 grad_norm: 3.8124 loss: 3.6113 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0080 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6033 2023/02/02 02:30:14 - mmengine - INFO - Epoch(train) [153][ 920/1879] lr: 4.4711e-02 eta: 1 day, 3:35:29 time: 0.5314 data_time: 0.0292 memory: 18108 grad_norm: 3.8192 loss: 3.7349 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.1578 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.5771 2023/02/02 02:30:24 - mmengine - INFO - Epoch(train) [153][ 940/1879] lr: 4.4703e-02 eta: 1 day, 3:35:19 time: 0.5259 data_time: 0.0400 memory: 18108 grad_norm: 3.7334 loss: 3.6262 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 2.0773 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.5489 2023/02/02 02:30:35 - mmengine - INFO - Epoch(train) [153][ 960/1879] lr: 4.4696e-02 eta: 1 day, 3:35:09 time: 0.5389 data_time: 0.0291 memory: 18108 grad_norm: 3.8362 loss: 3.6272 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0558 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.5714 2023/02/02 02:30:45 - mmengine - INFO - Epoch(train) [153][ 980/1879] lr: 4.4688e-02 eta: 1 day, 3:34:59 time: 0.5276 data_time: 0.0354 memory: 18108 grad_norm: 3.8260 loss: 3.6195 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0701 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5494 2023/02/02 02:30:56 - mmengine - INFO - Epoch(train) [153][1000/1879] lr: 4.4681e-02 eta: 1 day, 3:34:49 time: 0.5250 data_time: 0.0280 memory: 18108 grad_norm: 3.7856 loss: 3.9518 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.3955 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.5564 2023/02/02 02:31:07 - mmengine - INFO - Epoch(train) [153][1020/1879] lr: 4.4673e-02 eta: 1 day, 3:34:40 time: 0.5364 data_time: 0.0423 memory: 18108 grad_norm: 3.7710 loss: 3.7163 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1608 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5555 2023/02/02 02:31:17 - mmengine - INFO - Epoch(train) [153][1040/1879] lr: 4.4666e-02 eta: 1 day, 3:34:30 time: 0.5331 data_time: 0.0278 memory: 18108 grad_norm: 3.8321 loss: 3.7350 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.1253 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6096 2023/02/02 02:31:28 - mmengine - INFO - Epoch(train) [153][1060/1879] lr: 4.4658e-02 eta: 1 day, 3:34:20 time: 0.5207 data_time: 0.0347 memory: 18108 grad_norm: 3.7499 loss: 3.8341 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2949 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.5392 2023/02/02 02:31:39 - mmengine - INFO - Epoch(train) [153][1080/1879] lr: 4.4651e-02 eta: 1 day, 3:34:10 time: 0.5393 data_time: 0.0352 memory: 18108 grad_norm: 3.7695 loss: 3.8399 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1448 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.6951 2023/02/02 02:31:49 - mmengine - INFO - Epoch(train) [153][1100/1879] lr: 4.4643e-02 eta: 1 day, 3:34:00 time: 0.5278 data_time: 0.0357 memory: 18108 grad_norm: 3.7919 loss: 3.6966 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2235 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.4731 2023/02/02 02:32:00 - mmengine - INFO - Epoch(train) [153][1120/1879] lr: 4.4636e-02 eta: 1 day, 3:33:50 time: 0.5279 data_time: 0.0296 memory: 18108 grad_norm: 4.0055 loss: 3.8728 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3361 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.5366 2023/02/02 02:32:10 - mmengine - INFO - Epoch(train) [153][1140/1879] lr: 4.4629e-02 eta: 1 day, 3:33:40 time: 0.5316 data_time: 0.0387 memory: 18108 grad_norm: 3.8479 loss: 3.9093 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3438 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.5655 2023/02/02 02:32:21 - mmengine - INFO - Epoch(train) [153][1160/1879] lr: 4.4621e-02 eta: 1 day, 3:33:30 time: 0.5426 data_time: 0.0357 memory: 18108 grad_norm: 3.8022 loss: 3.9247 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.2506 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.6741 2023/02/02 02:32:32 - mmengine - INFO - Epoch(train) [153][1180/1879] lr: 4.4614e-02 eta: 1 day, 3:33:20 time: 0.5178 data_time: 0.0345 memory: 18108 grad_norm: 3.7035 loss: 3.5478 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0619 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.4858 2023/02/02 02:32:42 - mmengine - INFO - Epoch(train) [153][1200/1879] lr: 4.4606e-02 eta: 1 day, 3:33:10 time: 0.5184 data_time: 0.0298 memory: 18108 grad_norm: 3.8352 loss: 3.8448 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3139 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.5309 2023/02/02 02:32:53 - mmengine - INFO - Epoch(train) [153][1220/1879] lr: 4.4599e-02 eta: 1 day, 3:33:00 time: 0.5453 data_time: 0.0438 memory: 18108 grad_norm: 3.7491 loss: 3.9463 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2682 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.6780 2023/02/02 02:33:04 - mmengine - INFO - Epoch(train) [153][1240/1879] lr: 4.4591e-02 eta: 1 day, 3:32:50 time: 0.5289 data_time: 0.0287 memory: 18108 grad_norm: 3.8645 loss: 3.8995 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2358 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.6637 2023/02/02 02:33:14 - mmengine - INFO - Epoch(train) [153][1260/1879] lr: 4.4584e-02 eta: 1 day, 3:32:40 time: 0.5177 data_time: 0.0372 memory: 18108 grad_norm: 3.8089 loss: 3.7846 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 2.1415 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.6431 2023/02/02 02:33:25 - mmengine - INFO - Epoch(train) [153][1280/1879] lr: 4.4576e-02 eta: 1 day, 3:32:30 time: 0.5297 data_time: 0.0300 memory: 18108 grad_norm: 3.7273 loss: 3.5904 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0556 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.5348 2023/02/02 02:33:35 - mmengine - INFO - Epoch(train) [153][1300/1879] lr: 4.4569e-02 eta: 1 day, 3:32:20 time: 0.5279 data_time: 0.0356 memory: 18108 grad_norm: 3.8086 loss: 3.7045 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2078 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.4967 2023/02/02 02:33:46 - mmengine - INFO - Epoch(train) [153][1320/1879] lr: 4.4561e-02 eta: 1 day, 3:32:10 time: 0.5259 data_time: 0.0313 memory: 18108 grad_norm: 3.8345 loss: 3.6484 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0619 top1_acc_1: 0.5294 top5_acc_1: 0.8706 loss_cls_1: 1.5865 2023/02/02 02:33:56 - mmengine - INFO - Epoch(train) [153][1340/1879] lr: 4.4554e-02 eta: 1 day, 3:32:00 time: 0.5201 data_time: 0.0346 memory: 18108 grad_norm: 3.8185 loss: 3.5463 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9766 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.5697 2023/02/02 02:34:07 - mmengine - INFO - Epoch(train) [153][1360/1879] lr: 4.4546e-02 eta: 1 day, 3:31:50 time: 0.5387 data_time: 0.0364 memory: 18108 grad_norm: 3.7771 loss: 3.7803 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1889 top1_acc_1: 0.5647 top5_acc_1: 0.7059 loss_cls_1: 1.5914 2023/02/02 02:34:17 - mmengine - INFO - Epoch(train) [153][1380/1879] lr: 4.4539e-02 eta: 1 day, 3:31:40 time: 0.5154 data_time: 0.0357 memory: 18108 grad_norm: 3.8629 loss: 3.9083 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3857 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5225 2023/02/02 02:34:24 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 02:34:28 - mmengine - INFO - Epoch(train) [153][1400/1879] lr: 4.4531e-02 eta: 1 day, 3:31:30 time: 0.5341 data_time: 0.0313 memory: 18108 grad_norm: 3.7142 loss: 3.5707 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9570 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.6136 2023/02/02 02:34:38 - mmengine - INFO - Epoch(train) [153][1420/1879] lr: 4.4524e-02 eta: 1 day, 3:31:20 time: 0.5182 data_time: 0.0369 memory: 18108 grad_norm: 3.7869 loss: 3.8307 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1728 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.6580 2023/02/02 02:34:49 - mmengine - INFO - Epoch(train) [153][1440/1879] lr: 4.4516e-02 eta: 1 day, 3:31:10 time: 0.5199 data_time: 0.0394 memory: 18108 grad_norm: 3.8026 loss: 3.8122 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2943 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.5179 2023/02/02 02:34:59 - mmengine - INFO - Epoch(train) [153][1460/1879] lr: 4.4509e-02 eta: 1 day, 3:31:00 time: 0.5100 data_time: 0.0369 memory: 18108 grad_norm: 3.8380 loss: 3.9900 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.3595 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.6305 2023/02/02 02:35:09 - mmengine - INFO - Epoch(train) [153][1480/1879] lr: 4.4501e-02 eta: 1 day, 3:30:50 time: 0.5210 data_time: 0.0322 memory: 18108 grad_norm: 3.8059 loss: 3.8045 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.2489 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.5555 2023/02/02 02:35:20 - mmengine - INFO - Epoch(train) [153][1500/1879] lr: 4.4494e-02 eta: 1 day, 3:30:40 time: 0.5276 data_time: 0.0422 memory: 18108 grad_norm: 3.8398 loss: 3.6895 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1034 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.5861 2023/02/02 02:35:30 - mmengine - INFO - Epoch(train) [153][1520/1879] lr: 4.4486e-02 eta: 1 day, 3:30:29 time: 0.5073 data_time: 0.0307 memory: 18108 grad_norm: 3.9040 loss: 4.2087 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.6243 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.5844 2023/02/02 02:35:41 - mmengine - INFO - Epoch(train) [153][1540/1879] lr: 4.4479e-02 eta: 1 day, 3:30:19 time: 0.5214 data_time: 0.0362 memory: 18108 grad_norm: 3.7260 loss: 3.5855 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0056 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5798 2023/02/02 02:35:51 - mmengine - INFO - Epoch(train) [153][1560/1879] lr: 4.4471e-02 eta: 1 day, 3:30:09 time: 0.5355 data_time: 0.0330 memory: 18108 grad_norm: 3.6981 loss: 3.9027 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.2995 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.6032 2023/02/02 02:36:02 - mmengine - INFO - Epoch(train) [153][1580/1879] lr: 4.4464e-02 eta: 1 day, 3:29:59 time: 0.5220 data_time: 0.0342 memory: 18108 grad_norm: 3.8557 loss: 3.7515 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.1575 top1_acc_1: 0.5882 top5_acc_1: 0.7529 loss_cls_1: 1.5940 2023/02/02 02:36:12 - mmengine - INFO - Epoch(train) [153][1600/1879] lr: 4.4456e-02 eta: 1 day, 3:29:49 time: 0.5315 data_time: 0.0308 memory: 18108 grad_norm: 3.8014 loss: 3.9986 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.4122 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.5865 2023/02/02 02:36:23 - mmengine - INFO - Epoch(train) [153][1620/1879] lr: 4.4449e-02 eta: 1 day, 3:29:40 time: 0.5369 data_time: 0.0340 memory: 18108 grad_norm: 3.8438 loss: 3.8914 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3534 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5380 2023/02/02 02:36:33 - mmengine - INFO - Epoch(train) [153][1640/1879] lr: 4.4441e-02 eta: 1 day, 3:29:29 time: 0.5166 data_time: 0.0431 memory: 18108 grad_norm: 3.8784 loss: 3.7117 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1385 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.5732 2023/02/02 02:36:44 - mmengine - INFO - Epoch(train) [153][1660/1879] lr: 4.4434e-02 eta: 1 day, 3:29:19 time: 0.5166 data_time: 0.0337 memory: 18108 grad_norm: 3.8449 loss: 4.0088 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.4407 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.5682 2023/02/02 02:36:55 - mmengine - INFO - Epoch(train) [153][1680/1879] lr: 4.4426e-02 eta: 1 day, 3:29:09 time: 0.5441 data_time: 0.0311 memory: 18108 grad_norm: 3.8166 loss: 3.9911 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3747 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.6164 2023/02/02 02:37:05 - mmengine - INFO - Epoch(train) [153][1700/1879] lr: 4.4419e-02 eta: 1 day, 3:28:59 time: 0.5137 data_time: 0.0351 memory: 18108 grad_norm: 3.7462 loss: 3.7455 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2205 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.5250 2023/02/02 02:37:15 - mmengine - INFO - Epoch(train) [153][1720/1879] lr: 4.4411e-02 eta: 1 day, 3:28:49 time: 0.5188 data_time: 0.0412 memory: 18108 grad_norm: 3.7222 loss: 3.8566 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2516 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.6050 2023/02/02 02:37:26 - mmengine - INFO - Epoch(train) [153][1740/1879] lr: 4.4404e-02 eta: 1 day, 3:28:39 time: 0.5178 data_time: 0.0353 memory: 18108 grad_norm: 3.7149 loss: 3.7676 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2332 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.5344 2023/02/02 02:37:36 - mmengine - INFO - Epoch(train) [153][1760/1879] lr: 4.4396e-02 eta: 1 day, 3:28:29 time: 0.5172 data_time: 0.0320 memory: 18108 grad_norm: 3.8480 loss: 3.9219 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3143 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.6076 2023/02/02 02:37:47 - mmengine - INFO - Epoch(train) [153][1780/1879] lr: 4.4389e-02 eta: 1 day, 3:28:19 time: 0.5223 data_time: 0.0422 memory: 18108 grad_norm: 3.7437 loss: 3.5940 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0253 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.5686 2023/02/02 02:37:57 - mmengine - INFO - Epoch(train) [153][1800/1879] lr: 4.4381e-02 eta: 1 day, 3:28:09 time: 0.5165 data_time: 0.0302 memory: 18108 grad_norm: 3.9125 loss: 3.9209 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2605 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.6604 2023/02/02 02:38:07 - mmengine - INFO - Epoch(train) [153][1820/1879] lr: 4.4374e-02 eta: 1 day, 3:27:59 time: 0.5259 data_time: 0.0355 memory: 18108 grad_norm: 3.8491 loss: 3.8241 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.1903 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.6338 2023/02/02 02:38:18 - mmengine - INFO - Epoch(train) [153][1840/1879] lr: 4.4367e-02 eta: 1 day, 3:27:49 time: 0.5125 data_time: 0.0311 memory: 18108 grad_norm: 3.9029 loss: 3.6606 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0788 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.5817 2023/02/02 02:38:28 - mmengine - INFO - Epoch(train) [153][1860/1879] lr: 4.4359e-02 eta: 1 day, 3:27:39 time: 0.5272 data_time: 0.0417 memory: 18108 grad_norm: 3.7752 loss: 3.8163 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2273 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.5890 2023/02/02 02:38:38 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 02:38:38 - mmengine - INFO - Epoch(train) [153][1879/1879] lr: 4.4352e-02 eta: 1 day, 3:27:29 time: 0.4951 data_time: 0.0321 memory: 18108 grad_norm: 3.8273 loss: 3.8242 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 2.2778 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.5464 2023/02/02 02:38:53 - mmengine - INFO - Epoch(train) [154][ 20/1879] lr: 4.4344e-02 eta: 1 day, 3:27:21 time: 0.7116 data_time: 0.2546 memory: 18108 grad_norm: 3.8118 loss: 3.5035 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9482 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.5552 2023/02/02 02:39:02 - mmengine - INFO - Epoch(train) [154][ 40/1879] lr: 4.4337e-02 eta: 1 day, 3:27:10 time: 0.4785 data_time: 0.0344 memory: 18108 grad_norm: 3.8841 loss: 3.6833 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.2050 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.4783 2023/02/02 02:39:12 - mmengine - INFO - Epoch(train) [154][ 60/1879] lr: 4.4329e-02 eta: 1 day, 3:27:00 time: 0.4838 data_time: 0.0362 memory: 18108 grad_norm: 3.7239 loss: 3.7115 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1635 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.5480 2023/02/02 02:39:22 - mmengine - INFO - Epoch(train) [154][ 80/1879] lr: 4.4322e-02 eta: 1 day, 3:26:50 time: 0.5136 data_time: 0.0438 memory: 18108 grad_norm: 3.8521 loss: 3.5674 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.0772 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.4901 2023/02/02 02:39:32 - mmengine - INFO - Epoch(train) [154][ 100/1879] lr: 4.4315e-02 eta: 1 day, 3:26:39 time: 0.4889 data_time: 0.0379 memory: 18108 grad_norm: 3.8102 loss: 3.6572 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2568 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.4005 2023/02/02 02:39:42 - mmengine - INFO - Epoch(train) [154][ 120/1879] lr: 4.4307e-02 eta: 1 day, 3:26:28 time: 0.4721 data_time: 0.0343 memory: 18108 grad_norm: 3.7787 loss: 3.7703 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2213 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.5489 2023/02/02 02:39:52 - mmengine - INFO - Epoch(train) [154][ 140/1879] lr: 4.4300e-02 eta: 1 day, 3:26:18 time: 0.5041 data_time: 0.0366 memory: 18108 grad_norm: 3.8932 loss: 3.8959 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.2564 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6395 2023/02/02 02:40:01 - mmengine - INFO - Epoch(train) [154][ 160/1879] lr: 4.4292e-02 eta: 1 day, 3:26:08 time: 0.4802 data_time: 0.0339 memory: 18108 grad_norm: 3.8027 loss: 3.6576 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1063 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.5512 2023/02/02 02:40:11 - mmengine - INFO - Epoch(train) [154][ 180/1879] lr: 4.4285e-02 eta: 1 day, 3:25:57 time: 0.4883 data_time: 0.0360 memory: 18108 grad_norm: 3.7555 loss: 3.6549 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0621 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.5928 2023/02/02 02:40:21 - mmengine - INFO - Epoch(train) [154][ 200/1879] lr: 4.4277e-02 eta: 1 day, 3:25:46 time: 0.4787 data_time: 0.0333 memory: 18108 grad_norm: 3.8044 loss: 3.7698 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.2421 top1_acc_1: 0.7529 top5_acc_1: 0.8471 loss_cls_1: 1.5277 2023/02/02 02:40:31 - mmengine - INFO - Epoch(train) [154][ 220/1879] lr: 4.4270e-02 eta: 1 day, 3:25:36 time: 0.5129 data_time: 0.0423 memory: 18108 grad_norm: 3.7805 loss: 3.7477 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2485 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.4992 2023/02/02 02:40:41 - mmengine - INFO - Epoch(train) [154][ 240/1879] lr: 4.4262e-02 eta: 1 day, 3:25:26 time: 0.4818 data_time: 0.0326 memory: 18108 grad_norm: 3.7548 loss: 3.4944 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9848 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5097 2023/02/02 02:40:50 - mmengine - INFO - Epoch(train) [154][ 260/1879] lr: 4.4255e-02 eta: 1 day, 3:25:15 time: 0.4852 data_time: 0.0379 memory: 18108 grad_norm: 3.7972 loss: 3.7841 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2349 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.5492 2023/02/02 02:41:00 - mmengine - INFO - Epoch(train) [154][ 280/1879] lr: 4.4247e-02 eta: 1 day, 3:25:05 time: 0.4867 data_time: 0.0393 memory: 18108 grad_norm: 3.8241 loss: 3.5702 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9925 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.5776 2023/02/02 02:41:11 - mmengine - INFO - Epoch(train) [154][ 300/1879] lr: 4.4240e-02 eta: 1 day, 3:24:54 time: 0.5253 data_time: 0.0404 memory: 18108 grad_norm: 3.9250 loss: 3.8579 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3349 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.5230 2023/02/02 02:41:20 - mmengine - INFO - Epoch(train) [154][ 320/1879] lr: 4.4232e-02 eta: 1 day, 3:24:44 time: 0.4895 data_time: 0.0285 memory: 18108 grad_norm: 3.8357 loss: 3.8347 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 2.2654 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.5693 2023/02/02 02:41:30 - mmengine - INFO - Epoch(train) [154][ 340/1879] lr: 4.4225e-02 eta: 1 day, 3:24:34 time: 0.5052 data_time: 0.0467 memory: 18108 grad_norm: 3.9030 loss: 3.8550 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3891 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.4659 2023/02/02 02:41:41 - mmengine - INFO - Epoch(train) [154][ 360/1879] lr: 4.4217e-02 eta: 1 day, 3:24:24 time: 0.5124 data_time: 0.0303 memory: 18108 grad_norm: 3.7560 loss: 3.7757 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2088 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.5668 2023/02/02 02:41:51 - mmengine - INFO - Epoch(train) [154][ 380/1879] lr: 4.4210e-02 eta: 1 day, 3:24:13 time: 0.5064 data_time: 0.0383 memory: 18108 grad_norm: 3.7897 loss: 3.8354 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.2250 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.6105 2023/02/02 02:42:01 - mmengine - INFO - Epoch(train) [154][ 400/1879] lr: 4.4202e-02 eta: 1 day, 3:24:03 time: 0.4892 data_time: 0.0297 memory: 18108 grad_norm: 3.7940 loss: 3.5984 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0117 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.5867 2023/02/02 02:42:11 - mmengine - INFO - Epoch(train) [154][ 420/1879] lr: 4.4195e-02 eta: 1 day, 3:23:53 time: 0.5149 data_time: 0.0430 memory: 18108 grad_norm: 3.8680 loss: 3.5790 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0766 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.5025 2023/02/02 02:42:21 - mmengine - INFO - Epoch(train) [154][ 440/1879] lr: 4.4187e-02 eta: 1 day, 3:23:42 time: 0.5040 data_time: 0.0331 memory: 18108 grad_norm: 3.8018 loss: 3.6520 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0928 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.5592 2023/02/02 02:42:31 - mmengine - INFO - Epoch(train) [154][ 460/1879] lr: 4.4180e-02 eta: 1 day, 3:23:32 time: 0.4977 data_time: 0.0375 memory: 18108 grad_norm: 3.8249 loss: 3.7608 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.1713 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.5895 2023/02/02 02:42:41 - mmengine - INFO - Epoch(train) [154][ 480/1879] lr: 4.4172e-02 eta: 1 day, 3:23:22 time: 0.5081 data_time: 0.0391 memory: 18108 grad_norm: 3.8343 loss: 3.7773 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1611 top1_acc_1: 0.6000 top5_acc_1: 0.8941 loss_cls_1: 1.6162 2023/02/02 02:42:52 - mmengine - INFO - Epoch(train) [154][ 500/1879] lr: 4.4165e-02 eta: 1 day, 3:23:12 time: 0.5200 data_time: 0.0312 memory: 18108 grad_norm: 3.7967 loss: 3.7846 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1624 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.6222 2023/02/02 02:42:58 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 02:43:02 - mmengine - INFO - Epoch(train) [154][ 520/1879] lr: 4.4157e-02 eta: 1 day, 3:23:01 time: 0.5122 data_time: 0.0358 memory: 18108 grad_norm: 3.8687 loss: 3.7471 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1766 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.5705 2023/02/02 02:43:12 - mmengine - INFO - Epoch(train) [154][ 540/1879] lr: 4.4150e-02 eta: 1 day, 3:22:51 time: 0.5087 data_time: 0.0300 memory: 18108 grad_norm: 3.8544 loss: 4.0067 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3210 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.6857 2023/02/02 02:43:22 - mmengine - INFO - Epoch(train) [154][ 560/1879] lr: 4.4142e-02 eta: 1 day, 3:22:41 time: 0.5091 data_time: 0.0353 memory: 18108 grad_norm: 3.8008 loss: 3.8293 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2534 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.5759 2023/02/02 02:43:33 - mmengine - INFO - Epoch(train) [154][ 580/1879] lr: 4.4135e-02 eta: 1 day, 3:22:31 time: 0.5244 data_time: 0.0306 memory: 18108 grad_norm: 3.7901 loss: 3.8510 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1713 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.6797 2023/02/02 02:43:43 - mmengine - INFO - Epoch(train) [154][ 600/1879] lr: 4.4127e-02 eta: 1 day, 3:22:21 time: 0.5071 data_time: 0.0363 memory: 18108 grad_norm: 3.7734 loss: 3.7455 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1768 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.5687 2023/02/02 02:43:53 - mmengine - INFO - Epoch(train) [154][ 620/1879] lr: 4.4120e-02 eta: 1 day, 3:22:10 time: 0.5158 data_time: 0.0317 memory: 18108 grad_norm: 3.7862 loss: 3.6659 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.0485 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.6174 2023/02/02 02:44:04 - mmengine - INFO - Epoch(train) [154][ 640/1879] lr: 4.4113e-02 eta: 1 day, 3:22:00 time: 0.5110 data_time: 0.0372 memory: 18108 grad_norm: 3.9196 loss: 3.6857 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1577 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.5280 2023/02/02 02:44:14 - mmengine - INFO - Epoch(train) [154][ 660/1879] lr: 4.4105e-02 eta: 1 day, 3:21:50 time: 0.5204 data_time: 0.0323 memory: 18108 grad_norm: 3.6983 loss: 3.7771 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1938 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.5833 2023/02/02 02:44:24 - mmengine - INFO - Epoch(train) [154][ 680/1879] lr: 4.4098e-02 eta: 1 day, 3:21:40 time: 0.5176 data_time: 0.0416 memory: 18108 grad_norm: 3.8462 loss: 3.6815 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2006 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.4809 2023/02/02 02:44:35 - mmengine - INFO - Epoch(train) [154][ 700/1879] lr: 4.4090e-02 eta: 1 day, 3:21:30 time: 0.5179 data_time: 0.0337 memory: 18108 grad_norm: 3.8413 loss: 3.9803 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3584 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.6219 2023/02/02 02:44:45 - mmengine - INFO - Epoch(train) [154][ 720/1879] lr: 4.4083e-02 eta: 1 day, 3:21:20 time: 0.5073 data_time: 0.0375 memory: 18108 grad_norm: 3.7345 loss: 3.6479 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1270 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5209 2023/02/02 02:44:55 - mmengine - INFO - Epoch(train) [154][ 740/1879] lr: 4.4075e-02 eta: 1 day, 3:21:10 time: 0.5239 data_time: 0.0387 memory: 18108 grad_norm: 3.8008 loss: 3.8398 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.2975 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5423 2023/02/02 02:45:06 - mmengine - INFO - Epoch(train) [154][ 760/1879] lr: 4.4068e-02 eta: 1 day, 3:20:59 time: 0.5076 data_time: 0.0371 memory: 18108 grad_norm: 3.8385 loss: 3.8810 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2500 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.6311 2023/02/02 02:45:16 - mmengine - INFO - Epoch(train) [154][ 780/1879] lr: 4.4060e-02 eta: 1 day, 3:20:49 time: 0.5091 data_time: 0.0320 memory: 18108 grad_norm: 3.7684 loss: 3.7711 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.2137 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.5575 2023/02/02 02:45:26 - mmengine - INFO - Epoch(train) [154][ 800/1879] lr: 4.4053e-02 eta: 1 day, 3:20:39 time: 0.5202 data_time: 0.0430 memory: 18108 grad_norm: 3.7388 loss: 3.7981 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1988 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.5993 2023/02/02 02:45:36 - mmengine - INFO - Epoch(train) [154][ 820/1879] lr: 4.4045e-02 eta: 1 day, 3:20:29 time: 0.4976 data_time: 0.0312 memory: 18108 grad_norm: 3.7467 loss: 3.6432 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1128 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.5305 2023/02/02 02:45:46 - mmengine - INFO - Epoch(train) [154][ 840/1879] lr: 4.4038e-02 eta: 1 day, 3:20:18 time: 0.5131 data_time: 0.0356 memory: 18108 grad_norm: 3.8517 loss: 3.8340 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2060 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.6280 2023/02/02 02:45:57 - mmengine - INFO - Epoch(train) [154][ 860/1879] lr: 4.4030e-02 eta: 1 day, 3:20:08 time: 0.5131 data_time: 0.0325 memory: 18108 grad_norm: 3.7620 loss: 3.8587 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2598 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.5989 2023/02/02 02:46:07 - mmengine - INFO - Epoch(train) [154][ 880/1879] lr: 4.4023e-02 eta: 1 day, 3:19:58 time: 0.5314 data_time: 0.0408 memory: 18108 grad_norm: 3.8521 loss: 3.7486 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2408 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.5078 2023/02/02 02:46:18 - mmengine - INFO - Epoch(train) [154][ 900/1879] lr: 4.4015e-02 eta: 1 day, 3:19:48 time: 0.5182 data_time: 0.0332 memory: 18108 grad_norm: 3.8962 loss: 3.7529 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1664 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.5865 2023/02/02 02:46:28 - mmengine - INFO - Epoch(train) [154][ 920/1879] lr: 4.4008e-02 eta: 1 day, 3:19:38 time: 0.5111 data_time: 0.0338 memory: 18108 grad_norm: 3.8050 loss: 3.7252 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1017 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.6235 2023/02/02 02:46:39 - mmengine - INFO - Epoch(train) [154][ 940/1879] lr: 4.4000e-02 eta: 1 day, 3:19:28 time: 0.5394 data_time: 0.0310 memory: 18108 grad_norm: 3.8450 loss: 3.8531 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2470 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.6061 2023/02/02 02:46:49 - mmengine - INFO - Epoch(train) [154][ 960/1879] lr: 4.3993e-02 eta: 1 day, 3:19:18 time: 0.5178 data_time: 0.0337 memory: 18108 grad_norm: 3.7933 loss: 3.7313 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1545 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.5767 2023/02/02 02:46:59 - mmengine - INFO - Epoch(train) [154][ 980/1879] lr: 4.3985e-02 eta: 1 day, 3:19:08 time: 0.5156 data_time: 0.0346 memory: 18108 grad_norm: 3.7928 loss: 3.8933 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2128 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.6805 2023/02/02 02:47:10 - mmengine - INFO - Epoch(train) [154][1000/1879] lr: 4.3978e-02 eta: 1 day, 3:18:58 time: 0.5392 data_time: 0.0336 memory: 18108 grad_norm: 3.8438 loss: 3.7961 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2864 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.5097 2023/02/02 02:47:21 - mmengine - INFO - Epoch(train) [154][1020/1879] lr: 4.3970e-02 eta: 1 day, 3:18:48 time: 0.5222 data_time: 0.0383 memory: 18108 grad_norm: 3.7702 loss: 3.8384 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1969 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.6415 2023/02/02 02:47:31 - mmengine - INFO - Epoch(train) [154][1040/1879] lr: 4.3963e-02 eta: 1 day, 3:18:38 time: 0.5216 data_time: 0.0345 memory: 18108 grad_norm: 3.8427 loss: 4.0865 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4533 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.6332 2023/02/02 02:47:42 - mmengine - INFO - Epoch(train) [154][1060/1879] lr: 4.3956e-02 eta: 1 day, 3:18:28 time: 0.5156 data_time: 0.0331 memory: 18108 grad_norm: 3.8900 loss: 4.0010 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3498 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.6512 2023/02/02 02:47:53 - mmengine - INFO - Epoch(train) [154][1080/1879] lr: 4.3948e-02 eta: 1 day, 3:18:18 time: 0.5536 data_time: 0.0404 memory: 18108 grad_norm: 3.8286 loss: 3.8968 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3325 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.5642 2023/02/02 02:48:03 - mmengine - INFO - Epoch(train) [154][1100/1879] lr: 4.3941e-02 eta: 1 day, 3:18:08 time: 0.5184 data_time: 0.0340 memory: 18108 grad_norm: 3.8611 loss: 3.6713 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1353 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5360 2023/02/02 02:48:14 - mmengine - INFO - Epoch(train) [154][1120/1879] lr: 4.3933e-02 eta: 1 day, 3:17:58 time: 0.5242 data_time: 0.0336 memory: 18108 grad_norm: 3.7999 loss: 3.8027 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1353 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.6673 2023/02/02 02:48:24 - mmengine - INFO - Epoch(train) [154][1140/1879] lr: 4.3926e-02 eta: 1 day, 3:17:48 time: 0.5184 data_time: 0.0362 memory: 18108 grad_norm: 3.8256 loss: 3.9912 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3783 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.6129 2023/02/02 02:48:35 - mmengine - INFO - Epoch(train) [154][1160/1879] lr: 4.3918e-02 eta: 1 day, 3:17:38 time: 0.5339 data_time: 0.0410 memory: 18108 grad_norm: 3.8830 loss: 3.6194 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0354 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.5840 2023/02/02 02:48:45 - mmengine - INFO - Epoch(train) [154][1180/1879] lr: 4.3911e-02 eta: 1 day, 3:17:28 time: 0.5085 data_time: 0.0349 memory: 18108 grad_norm: 3.8229 loss: 3.6735 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 2.1684 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.5052 2023/02/02 02:48:55 - mmengine - INFO - Epoch(train) [154][1200/1879] lr: 4.3903e-02 eta: 1 day, 3:17:18 time: 0.5204 data_time: 0.0337 memory: 18108 grad_norm: 3.8247 loss: 3.6586 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0544 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.6042 2023/02/02 02:49:06 - mmengine - INFO - Epoch(train) [154][1220/1879] lr: 4.3896e-02 eta: 1 day, 3:17:07 time: 0.5180 data_time: 0.0394 memory: 18108 grad_norm: 3.8459 loss: 3.8903 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2293 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.6610 2023/02/02 02:49:16 - mmengine - INFO - Epoch(train) [154][1240/1879] lr: 4.3888e-02 eta: 1 day, 3:16:57 time: 0.5017 data_time: 0.0350 memory: 18108 grad_norm: 3.8305 loss: 3.8150 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2217 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.5933 2023/02/02 02:49:26 - mmengine - INFO - Epoch(train) [154][1260/1879] lr: 4.3881e-02 eta: 1 day, 3:16:47 time: 0.5047 data_time: 0.0343 memory: 18108 grad_norm: 3.8298 loss: 3.7872 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2382 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.5490 2023/02/02 02:49:36 - mmengine - INFO - Epoch(train) [154][1280/1879] lr: 4.3873e-02 eta: 1 day, 3:16:37 time: 0.5157 data_time: 0.0340 memory: 18108 grad_norm: 3.7259 loss: 3.8544 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.2987 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.5558 2023/02/02 02:49:46 - mmengine - INFO - Epoch(train) [154][1300/1879] lr: 4.3866e-02 eta: 1 day, 3:16:27 time: 0.5148 data_time: 0.0351 memory: 18108 grad_norm: 3.8412 loss: 3.8541 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.2536 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.6005 2023/02/02 02:49:57 - mmengine - INFO - Epoch(train) [154][1320/1879] lr: 4.3858e-02 eta: 1 day, 3:16:16 time: 0.5070 data_time: 0.0365 memory: 18108 grad_norm: 3.7838 loss: 3.5675 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0178 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.5497 2023/02/02 02:50:07 - mmengine - INFO - Epoch(train) [154][1340/1879] lr: 4.3851e-02 eta: 1 day, 3:16:06 time: 0.5002 data_time: 0.0349 memory: 18108 grad_norm: 3.8863 loss: 3.8664 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2138 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.6526 2023/02/02 02:50:17 - mmengine - INFO - Epoch(train) [154][1360/1879] lr: 4.3843e-02 eta: 1 day, 3:15:56 time: 0.5249 data_time: 0.0392 memory: 18108 grad_norm: 3.8473 loss: 3.5750 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0341 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.5408 2023/02/02 02:50:27 - mmengine - INFO - Epoch(train) [154][1380/1879] lr: 4.3836e-02 eta: 1 day, 3:15:46 time: 0.5001 data_time: 0.0352 memory: 18108 grad_norm: 3.9008 loss: 3.7837 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1732 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.6105 2023/02/02 02:50:37 - mmengine - INFO - Epoch(train) [154][1400/1879] lr: 4.3828e-02 eta: 1 day, 3:15:35 time: 0.5039 data_time: 0.0338 memory: 18108 grad_norm: 3.8088 loss: 3.9065 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3176 top1_acc_1: 0.5412 top5_acc_1: 0.8706 loss_cls_1: 1.5889 2023/02/02 02:50:47 - mmengine - INFO - Epoch(train) [154][1420/1879] lr: 4.3821e-02 eta: 1 day, 3:15:25 time: 0.5059 data_time: 0.0346 memory: 18108 grad_norm: 3.7446 loss: 3.7741 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.2316 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.5426 2023/02/02 02:50:58 - mmengine - INFO - Epoch(train) [154][1440/1879] lr: 4.3813e-02 eta: 1 day, 3:15:15 time: 0.5217 data_time: 0.0417 memory: 18108 grad_norm: 3.7946 loss: 3.5287 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.8862 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.6425 2023/02/02 02:51:08 - mmengine - INFO - Epoch(train) [154][1460/1879] lr: 4.3806e-02 eta: 1 day, 3:15:05 time: 0.5121 data_time: 0.0346 memory: 18108 grad_norm: 3.7961 loss: 3.5734 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0276 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.5458 2023/02/02 02:51:18 - mmengine - INFO - Epoch(train) [154][1480/1879] lr: 4.3799e-02 eta: 1 day, 3:14:55 time: 0.5168 data_time: 0.0336 memory: 18108 grad_norm: 3.8037 loss: 3.6841 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.0817 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.6025 2023/02/02 02:51:29 - mmengine - INFO - Epoch(train) [154][1500/1879] lr: 4.3791e-02 eta: 1 day, 3:14:45 time: 0.5255 data_time: 0.0414 memory: 18108 grad_norm: 3.8175 loss: 3.7073 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1676 top1_acc_1: 0.6118 top5_acc_1: 0.8941 loss_cls_1: 1.5398 2023/02/02 02:51:36 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 02:51:39 - mmengine - INFO - Epoch(train) [154][1520/1879] lr: 4.3784e-02 eta: 1 day, 3:14:34 time: 0.5111 data_time: 0.0343 memory: 18108 grad_norm: 3.8705 loss: 3.6193 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0197 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.5996 2023/02/02 02:51:49 - mmengine - INFO - Epoch(train) [154][1540/1879] lr: 4.3776e-02 eta: 1 day, 3:14:24 time: 0.5098 data_time: 0.0345 memory: 18108 grad_norm: 3.8262 loss: 3.8257 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1901 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6356 2023/02/02 02:52:00 - mmengine - INFO - Epoch(train) [154][1560/1879] lr: 4.3769e-02 eta: 1 day, 3:14:14 time: 0.5158 data_time: 0.0331 memory: 18108 grad_norm: 3.7786 loss: 3.9630 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.4412 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.5218 2023/02/02 02:52:10 - mmengine - INFO - Epoch(train) [154][1580/1879] lr: 4.3761e-02 eta: 1 day, 3:14:04 time: 0.5275 data_time: 0.0409 memory: 18108 grad_norm: 3.8646 loss: 3.9148 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3061 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.6087 2023/02/02 02:52:20 - mmengine - INFO - Epoch(train) [154][1600/1879] lr: 4.3754e-02 eta: 1 day, 3:13:54 time: 0.5082 data_time: 0.0327 memory: 18108 grad_norm: 3.8193 loss: 3.7929 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.1572 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.6357 2023/02/02 02:52:31 - mmengine - INFO - Epoch(train) [154][1620/1879] lr: 4.3746e-02 eta: 1 day, 3:13:44 time: 0.5226 data_time: 0.0344 memory: 18108 grad_norm: 3.8053 loss: 3.7806 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1739 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6068 2023/02/02 02:52:42 - mmengine - INFO - Epoch(train) [154][1640/1879] lr: 4.3739e-02 eta: 1 day, 3:13:34 time: 0.5288 data_time: 0.0347 memory: 18108 grad_norm: 3.7730 loss: 3.7570 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1688 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.5882 2023/02/02 02:52:52 - mmengine - INFO - Epoch(train) [154][1660/1879] lr: 4.3731e-02 eta: 1 day, 3:13:24 time: 0.5283 data_time: 0.0349 memory: 18108 grad_norm: 3.8757 loss: 3.7417 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.2020 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.5397 2023/02/02 02:53:03 - mmengine - INFO - Epoch(train) [154][1680/1879] lr: 4.3724e-02 eta: 1 day, 3:13:14 time: 0.5212 data_time: 0.0332 memory: 18108 grad_norm: 3.7751 loss: 3.7962 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1978 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.5984 2023/02/02 02:53:13 - mmengine - INFO - Epoch(train) [154][1700/1879] lr: 4.3716e-02 eta: 1 day, 3:13:04 time: 0.5313 data_time: 0.0322 memory: 18108 grad_norm: 3.8194 loss: 3.8318 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1952 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.6366 2023/02/02 02:53:24 - mmengine - INFO - Epoch(train) [154][1720/1879] lr: 4.3709e-02 eta: 1 day, 3:12:54 time: 0.5323 data_time: 0.0414 memory: 18108 grad_norm: 3.8779 loss: 3.8675 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1917 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.6758 2023/02/02 02:53:34 - mmengine - INFO - Epoch(train) [154][1740/1879] lr: 4.3701e-02 eta: 1 day, 3:12:44 time: 0.5099 data_time: 0.0355 memory: 18108 grad_norm: 3.8607 loss: 3.8753 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1802 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.6952 2023/02/02 02:53:45 - mmengine - INFO - Epoch(train) [154][1760/1879] lr: 4.3694e-02 eta: 1 day, 3:12:34 time: 0.5354 data_time: 0.0330 memory: 18108 grad_norm: 3.8004 loss: 4.1044 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3505 top1_acc_1: 0.5294 top5_acc_1: 0.7765 loss_cls_1: 1.7539 2023/02/02 02:53:55 - mmengine - INFO - Epoch(train) [154][1780/1879] lr: 4.3686e-02 eta: 1 day, 3:12:24 time: 0.5267 data_time: 0.0405 memory: 18108 grad_norm: 3.7647 loss: 3.5735 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0081 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.5654 2023/02/02 02:54:06 - mmengine - INFO - Epoch(train) [154][1800/1879] lr: 4.3679e-02 eta: 1 day, 3:12:14 time: 0.5228 data_time: 0.0340 memory: 18108 grad_norm: 3.7934 loss: 3.8946 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3539 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.5407 2023/02/02 02:54:16 - mmengine - INFO - Epoch(train) [154][1820/1879] lr: 4.3672e-02 eta: 1 day, 3:12:03 time: 0.5211 data_time: 0.0344 memory: 18108 grad_norm: 3.8605 loss: 3.6439 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0636 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.5803 2023/02/02 02:54:27 - mmengine - INFO - Epoch(train) [154][1840/1879] lr: 4.3664e-02 eta: 1 day, 3:11:54 time: 0.5382 data_time: 0.0347 memory: 18108 grad_norm: 3.8286 loss: 3.6330 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0224 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.6106 2023/02/02 02:54:38 - mmengine - INFO - Epoch(train) [154][1860/1879] lr: 4.3657e-02 eta: 1 day, 3:11:44 time: 0.5282 data_time: 0.0390 memory: 18108 grad_norm: 3.8077 loss: 3.6354 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.1061 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5293 2023/02/02 02:54:47 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 02:54:47 - mmengine - INFO - Epoch(train) [154][1879/1879] lr: 4.3649e-02 eta: 1 day, 3:11:34 time: 0.4965 data_time: 0.0316 memory: 18108 grad_norm: 3.9383 loss: 3.8533 top1_acc_0: 0.2857 top5_acc_0: 0.5714 loss_cls_0: 2.2242 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.6291 2023/02/02 02:55:02 - mmengine - INFO - Epoch(train) [155][ 20/1879] lr: 4.3642e-02 eta: 1 day, 3:11:26 time: 0.7218 data_time: 0.2417 memory: 18108 grad_norm: 3.8298 loss: 3.6650 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0660 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.5991 2023/02/02 02:55:12 - mmengine - INFO - Epoch(train) [155][ 40/1879] lr: 4.3635e-02 eta: 1 day, 3:11:16 time: 0.4885 data_time: 0.0345 memory: 18108 grad_norm: 3.7901 loss: 3.7388 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1854 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.5534 2023/02/02 02:55:22 - mmengine - INFO - Epoch(train) [155][ 60/1879] lr: 4.3627e-02 eta: 1 day, 3:11:05 time: 0.4970 data_time: 0.0344 memory: 18108 grad_norm: 3.8116 loss: 3.6790 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.1426 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.5364 2023/02/02 02:55:33 - mmengine - INFO - Epoch(train) [155][ 80/1879] lr: 4.3620e-02 eta: 1 day, 3:10:56 time: 0.5323 data_time: 0.0340 memory: 18108 grad_norm: 3.7659 loss: 3.6762 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1192 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.5569 2023/02/02 02:55:43 - mmengine - INFO - Epoch(train) [155][ 100/1879] lr: 4.3612e-02 eta: 1 day, 3:10:45 time: 0.5060 data_time: 0.0350 memory: 18108 grad_norm: 3.8357 loss: 3.6522 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0860 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.5662 2023/02/02 02:55:53 - mmengine - INFO - Epoch(train) [155][ 120/1879] lr: 4.3605e-02 eta: 1 day, 3:10:35 time: 0.4949 data_time: 0.0358 memory: 18108 grad_norm: 3.8461 loss: 3.5763 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.0311 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.5453 2023/02/02 02:56:03 - mmengine - INFO - Epoch(train) [155][ 140/1879] lr: 4.3597e-02 eta: 1 day, 3:10:25 time: 0.5307 data_time: 0.0335 memory: 18108 grad_norm: 3.8549 loss: 3.4892 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9790 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.5101 2023/02/02 02:56:13 - mmengine - INFO - Epoch(train) [155][ 160/1879] lr: 4.3590e-02 eta: 1 day, 3:10:14 time: 0.4936 data_time: 0.0415 memory: 18108 grad_norm: 3.7639 loss: 3.8892 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2870 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.6022 2023/02/02 02:56:23 - mmengine - INFO - Epoch(train) [155][ 180/1879] lr: 4.3582e-02 eta: 1 day, 3:10:04 time: 0.5003 data_time: 0.0336 memory: 18108 grad_norm: 3.8912 loss: 3.6971 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.1488 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.5483 2023/02/02 02:56:33 - mmengine - INFO - Epoch(train) [155][ 200/1879] lr: 4.3575e-02 eta: 1 day, 3:09:54 time: 0.4928 data_time: 0.0367 memory: 18108 grad_norm: 3.8866 loss: 3.9202 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.3462 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5740 2023/02/02 02:56:43 - mmengine - INFO - Epoch(train) [155][ 220/1879] lr: 4.3567e-02 eta: 1 day, 3:09:44 time: 0.5201 data_time: 0.0329 memory: 18108 grad_norm: 3.8324 loss: 3.6909 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1711 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.5198 2023/02/02 02:56:53 - mmengine - INFO - Epoch(train) [155][ 240/1879] lr: 4.3560e-02 eta: 1 day, 3:09:33 time: 0.4973 data_time: 0.0325 memory: 18108 grad_norm: 3.8210 loss: 3.6300 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1098 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.5203 2023/02/02 02:57:04 - mmengine - INFO - Epoch(train) [155][ 260/1879] lr: 4.3552e-02 eta: 1 day, 3:09:23 time: 0.5062 data_time: 0.0366 memory: 18108 grad_norm: 3.8372 loss: 4.0002 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3436 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.6566 2023/02/02 02:57:13 - mmengine - INFO - Epoch(train) [155][ 280/1879] lr: 4.3545e-02 eta: 1 day, 3:09:12 time: 0.4880 data_time: 0.0333 memory: 18108 grad_norm: 3.8595 loss: 3.6736 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.1135 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5601 2023/02/02 02:57:23 - mmengine - INFO - Epoch(train) [155][ 300/1879] lr: 4.3537e-02 eta: 1 day, 3:09:02 time: 0.5056 data_time: 0.0352 memory: 18108 grad_norm: 3.8465 loss: 3.7556 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.2067 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.5489 2023/02/02 02:57:34 - mmengine - INFO - Epoch(train) [155][ 320/1879] lr: 4.3530e-02 eta: 1 day, 3:08:52 time: 0.5010 data_time: 0.0347 memory: 18108 grad_norm: 3.8210 loss: 3.5839 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0722 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.5117 2023/02/02 02:57:43 - mmengine - INFO - Epoch(train) [155][ 340/1879] lr: 4.3523e-02 eta: 1 day, 3:08:41 time: 0.4951 data_time: 0.0358 memory: 18108 grad_norm: 3.7605 loss: 3.8213 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.2821 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5392 2023/02/02 02:57:54 - mmengine - INFO - Epoch(train) [155][ 360/1879] lr: 4.3515e-02 eta: 1 day, 3:08:31 time: 0.5067 data_time: 0.0339 memory: 18108 grad_norm: 3.8148 loss: 3.8255 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3231 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.5023 2023/02/02 02:58:04 - mmengine - INFO - Epoch(train) [155][ 380/1879] lr: 4.3508e-02 eta: 1 day, 3:08:21 time: 0.5085 data_time: 0.0357 memory: 18108 grad_norm: 3.7918 loss: 3.5433 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0469 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.4964 2023/02/02 02:58:14 - mmengine - INFO - Epoch(train) [155][ 400/1879] lr: 4.3500e-02 eta: 1 day, 3:08:10 time: 0.4928 data_time: 0.0336 memory: 18108 grad_norm: 3.7296 loss: 3.6735 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0550 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6186 2023/02/02 02:58:24 - mmengine - INFO - Epoch(train) [155][ 420/1879] lr: 4.3493e-02 eta: 1 day, 3:08:00 time: 0.5029 data_time: 0.0352 memory: 18108 grad_norm: 3.8565 loss: 3.8619 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.3781 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.4838 2023/02/02 02:58:34 - mmengine - INFO - Epoch(train) [155][ 440/1879] lr: 4.3485e-02 eta: 1 day, 3:07:50 time: 0.5021 data_time: 0.0333 memory: 18108 grad_norm: 3.8972 loss: 3.7171 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2094 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.5077 2023/02/02 02:58:44 - mmengine - INFO - Epoch(train) [155][ 460/1879] lr: 4.3478e-02 eta: 1 day, 3:07:39 time: 0.5070 data_time: 0.0339 memory: 18108 grad_norm: 3.8520 loss: 3.7447 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2279 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.5168 2023/02/02 02:58:54 - mmengine - INFO - Epoch(train) [155][ 480/1879] lr: 4.3470e-02 eta: 1 day, 3:07:29 time: 0.4978 data_time: 0.0338 memory: 18108 grad_norm: 3.8643 loss: 3.5784 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0082 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.5701 2023/02/02 02:59:04 - mmengine - INFO - Epoch(train) [155][ 500/1879] lr: 4.3463e-02 eta: 1 day, 3:07:19 time: 0.5183 data_time: 0.0341 memory: 18108 grad_norm: 3.8113 loss: 3.6195 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1622 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.4573 2023/02/02 02:59:14 - mmengine - INFO - Epoch(train) [155][ 520/1879] lr: 4.3455e-02 eta: 1 day, 3:07:09 time: 0.5035 data_time: 0.0351 memory: 18108 grad_norm: 3.8785 loss: 3.8581 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2601 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.5981 2023/02/02 02:59:25 - mmengine - INFO - Epoch(train) [155][ 540/1879] lr: 4.3448e-02 eta: 1 day, 3:06:58 time: 0.5043 data_time: 0.0349 memory: 18108 grad_norm: 3.8114 loss: 3.8621 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2878 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.5743 2023/02/02 02:59:35 - mmengine - INFO - Epoch(train) [155][ 560/1879] lr: 4.3440e-02 eta: 1 day, 3:06:48 time: 0.4990 data_time: 0.0414 memory: 18108 grad_norm: 3.8390 loss: 3.6675 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.1040 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.5636 2023/02/02 02:59:45 - mmengine - INFO - Epoch(train) [155][ 580/1879] lr: 4.3433e-02 eta: 1 day, 3:06:38 time: 0.5270 data_time: 0.0351 memory: 18108 grad_norm: 3.8590 loss: 3.8161 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1999 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.6162 2023/02/02 02:59:55 - mmengine - INFO - Epoch(train) [155][ 600/1879] lr: 4.3425e-02 eta: 1 day, 3:06:27 time: 0.4871 data_time: 0.0345 memory: 18108 grad_norm: 3.8675 loss: 3.4239 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8402 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.5837 2023/02/02 03:00:05 - mmengine - INFO - Epoch(train) [155][ 620/1879] lr: 4.3418e-02 eta: 1 day, 3:06:17 time: 0.5066 data_time: 0.0407 memory: 18108 grad_norm: 3.8227 loss: 3.8154 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3089 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.5066 2023/02/02 03:00:12 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 03:00:15 - mmengine - INFO - Epoch(train) [155][ 640/1879] lr: 4.3411e-02 eta: 1 day, 3:06:07 time: 0.5127 data_time: 0.0339 memory: 18108 grad_norm: 3.9103 loss: 3.7676 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2713 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.4963 2023/02/02 03:00:25 - mmengine - INFO - Epoch(train) [155][ 660/1879] lr: 4.3403e-02 eta: 1 day, 3:05:57 time: 0.5051 data_time: 0.0351 memory: 18108 grad_norm: 3.8538 loss: 3.9517 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3434 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.6082 2023/02/02 03:00:35 - mmengine - INFO - Epoch(train) [155][ 680/1879] lr: 4.3396e-02 eta: 1 day, 3:05:46 time: 0.4843 data_time: 0.0342 memory: 18108 grad_norm: 3.8761 loss: 4.0562 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.4711 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.5850 2023/02/02 03:00:45 - mmengine - INFO - Epoch(train) [155][ 700/1879] lr: 4.3388e-02 eta: 1 day, 3:05:36 time: 0.5149 data_time: 0.0425 memory: 18108 grad_norm: 3.8606 loss: 4.0378 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4142 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.6236 2023/02/02 03:00:55 - mmengine - INFO - Epoch(train) [155][ 720/1879] lr: 4.3381e-02 eta: 1 day, 3:05:25 time: 0.4958 data_time: 0.0351 memory: 18108 grad_norm: 3.7991 loss: 3.7888 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2324 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.5564 2023/02/02 03:01:05 - mmengine - INFO - Epoch(train) [155][ 740/1879] lr: 4.3373e-02 eta: 1 day, 3:05:15 time: 0.4987 data_time: 0.0352 memory: 18108 grad_norm: 3.8526 loss: 3.7119 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1559 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.5560 2023/02/02 03:01:15 - mmengine - INFO - Epoch(train) [155][ 760/1879] lr: 4.3366e-02 eta: 1 day, 3:05:05 time: 0.4882 data_time: 0.0353 memory: 18108 grad_norm: 3.8808 loss: 3.9179 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3227 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.5952 2023/02/02 03:01:25 - mmengine - INFO - Epoch(train) [155][ 780/1879] lr: 4.3358e-02 eta: 1 day, 3:04:54 time: 0.5065 data_time: 0.0383 memory: 18108 grad_norm: 3.8759 loss: 3.6380 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0440 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.5940 2023/02/02 03:01:35 - mmengine - INFO - Epoch(train) [155][ 800/1879] lr: 4.3351e-02 eta: 1 day, 3:04:44 time: 0.4949 data_time: 0.0338 memory: 18108 grad_norm: 3.8373 loss: 3.8695 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3789 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.4906 2023/02/02 03:01:46 - mmengine - INFO - Epoch(train) [155][ 820/1879] lr: 4.3343e-02 eta: 1 day, 3:04:34 time: 0.5200 data_time: 0.0345 memory: 18108 grad_norm: 3.8968 loss: 3.8039 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 2.1991 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.6048 2023/02/02 03:01:55 - mmengine - INFO - Epoch(train) [155][ 840/1879] lr: 4.3336e-02 eta: 1 day, 3:04:23 time: 0.4851 data_time: 0.0347 memory: 18108 grad_norm: 3.8102 loss: 3.6592 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.0536 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.6056 2023/02/02 03:02:06 - mmengine - INFO - Epoch(train) [155][ 860/1879] lr: 4.3328e-02 eta: 1 day, 3:04:13 time: 0.5108 data_time: 0.0362 memory: 18108 grad_norm: 3.8993 loss: 3.8042 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.1648 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.6394 2023/02/02 03:02:16 - mmengine - INFO - Epoch(train) [155][ 880/1879] lr: 4.3321e-02 eta: 1 day, 3:04:03 time: 0.5023 data_time: 0.0343 memory: 18108 grad_norm: 3.8513 loss: 3.8140 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.2249 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.5891 2023/02/02 03:02:26 - mmengine - INFO - Epoch(train) [155][ 900/1879] lr: 4.3313e-02 eta: 1 day, 3:03:53 time: 0.5244 data_time: 0.0339 memory: 18108 grad_norm: 3.7420 loss: 3.7505 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.1531 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.5974 2023/02/02 03:02:36 - mmengine - INFO - Epoch(train) [155][ 920/1879] lr: 4.3306e-02 eta: 1 day, 3:03:42 time: 0.4928 data_time: 0.0356 memory: 18108 grad_norm: 3.8890 loss: 3.8403 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2526 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.5877 2023/02/02 03:02:47 - mmengine - INFO - Epoch(train) [155][ 940/1879] lr: 4.3299e-02 eta: 1 day, 3:03:32 time: 0.5279 data_time: 0.0334 memory: 18108 grad_norm: 3.8356 loss: 3.8916 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2323 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.6593 2023/02/02 03:02:57 - mmengine - INFO - Epoch(train) [155][ 960/1879] lr: 4.3291e-02 eta: 1 day, 3:03:22 time: 0.4994 data_time: 0.0340 memory: 18108 grad_norm: 3.7890 loss: 3.9920 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4429 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.5491 2023/02/02 03:03:07 - mmengine - INFO - Epoch(train) [155][ 980/1879] lr: 4.3284e-02 eta: 1 day, 3:03:12 time: 0.5155 data_time: 0.0333 memory: 18108 grad_norm: 3.8123 loss: 3.8262 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2446 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 1.5817 2023/02/02 03:03:17 - mmengine - INFO - Epoch(train) [155][1000/1879] lr: 4.3276e-02 eta: 1 day, 3:03:02 time: 0.5257 data_time: 0.0356 memory: 18108 grad_norm: 3.8344 loss: 3.9695 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3296 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.6399 2023/02/02 03:03:28 - mmengine - INFO - Epoch(train) [155][1020/1879] lr: 4.3269e-02 eta: 1 day, 3:02:52 time: 0.5204 data_time: 0.0358 memory: 18108 grad_norm: 3.8284 loss: 3.8331 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2772 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.5559 2023/02/02 03:03:38 - mmengine - INFO - Epoch(train) [155][1040/1879] lr: 4.3261e-02 eta: 1 day, 3:02:41 time: 0.4918 data_time: 0.0351 memory: 18108 grad_norm: 3.9009 loss: 3.8575 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.2639 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.5935 2023/02/02 03:03:48 - mmengine - INFO - Epoch(train) [155][1060/1879] lr: 4.3254e-02 eta: 1 day, 3:02:31 time: 0.5035 data_time: 0.0356 memory: 18108 grad_norm: 3.8294 loss: 3.7855 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2816 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.5040 2023/02/02 03:03:58 - mmengine - INFO - Epoch(train) [155][1080/1879] lr: 4.3246e-02 eta: 1 day, 3:02:20 time: 0.4999 data_time: 0.0413 memory: 18108 grad_norm: 3.7733 loss: 3.7434 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0997 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.6436 2023/02/02 03:04:08 - mmengine - INFO - Epoch(train) [155][1100/1879] lr: 4.3239e-02 eta: 1 day, 3:02:10 time: 0.5015 data_time: 0.0341 memory: 18108 grad_norm: 3.8671 loss: 3.9130 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2763 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.6367 2023/02/02 03:04:18 - mmengine - INFO - Epoch(train) [155][1120/1879] lr: 4.3231e-02 eta: 1 day, 3:02:00 time: 0.4939 data_time: 0.0340 memory: 18108 grad_norm: 3.7699 loss: 3.8699 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3153 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.5545 2023/02/02 03:04:28 - mmengine - INFO - Epoch(train) [155][1140/1879] lr: 4.3224e-02 eta: 1 day, 3:01:50 time: 0.5258 data_time: 0.0358 memory: 18108 grad_norm: 3.8938 loss: 3.8526 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.3012 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.5514 2023/02/02 03:04:38 - mmengine - INFO - Epoch(train) [155][1160/1879] lr: 4.3216e-02 eta: 1 day, 3:01:39 time: 0.5070 data_time: 0.0328 memory: 18108 grad_norm: 3.8482 loss: 3.5840 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0699 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.5141 2023/02/02 03:04:49 - mmengine - INFO - Epoch(train) [155][1180/1879] lr: 4.3209e-02 eta: 1 day, 3:01:29 time: 0.5151 data_time: 0.0358 memory: 18108 grad_norm: 3.8326 loss: 4.0808 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.5063 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.5745 2023/02/02 03:04:59 - mmengine - INFO - Epoch(train) [155][1200/1879] lr: 4.3202e-02 eta: 1 day, 3:01:19 time: 0.5000 data_time: 0.0347 memory: 18108 grad_norm: 3.8508 loss: 3.8262 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.1938 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.6324 2023/02/02 03:05:09 - mmengine - INFO - Epoch(train) [155][1220/1879] lr: 4.3194e-02 eta: 1 day, 3:01:09 time: 0.5338 data_time: 0.0341 memory: 18108 grad_norm: 3.8894 loss: 4.0179 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4367 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.5812 2023/02/02 03:05:20 - mmengine - INFO - Epoch(train) [155][1240/1879] lr: 4.3187e-02 eta: 1 day, 3:00:59 time: 0.5092 data_time: 0.0413 memory: 18108 grad_norm: 3.8860 loss: 3.7672 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0888 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.6784 2023/02/02 03:05:30 - mmengine - INFO - Epoch(train) [155][1260/1879] lr: 4.3179e-02 eta: 1 day, 3:00:49 time: 0.5225 data_time: 0.0327 memory: 18108 grad_norm: 3.8504 loss: 3.6951 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.1346 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.5605 2023/02/02 03:05:40 - mmengine - INFO - Epoch(train) [155][1280/1879] lr: 4.3172e-02 eta: 1 day, 3:00:39 time: 0.5123 data_time: 0.0326 memory: 18108 grad_norm: 3.8843 loss: 3.7025 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0906 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.6120 2023/02/02 03:05:51 - mmengine - INFO - Epoch(train) [155][1300/1879] lr: 4.3164e-02 eta: 1 day, 3:00:29 time: 0.5393 data_time: 0.0416 memory: 18108 grad_norm: 3.8288 loss: 4.0481 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3359 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.7122 2023/02/02 03:06:02 - mmengine - INFO - Epoch(train) [155][1320/1879] lr: 4.3157e-02 eta: 1 day, 3:00:19 time: 0.5212 data_time: 0.0341 memory: 18108 grad_norm: 3.7454 loss: 3.5473 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0346 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.5127 2023/02/02 03:06:12 - mmengine - INFO - Epoch(train) [155][1340/1879] lr: 4.3149e-02 eta: 1 day, 3:00:09 time: 0.5221 data_time: 0.0327 memory: 18108 grad_norm: 3.9410 loss: 3.8810 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2649 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.6162 2023/02/02 03:06:23 - mmengine - INFO - Epoch(train) [155][1360/1879] lr: 4.3142e-02 eta: 1 day, 2:59:58 time: 0.5219 data_time: 0.0339 memory: 18108 grad_norm: 3.8034 loss: 3.7181 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1699 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.5481 2023/02/02 03:06:33 - mmengine - INFO - Epoch(train) [155][1380/1879] lr: 4.3134e-02 eta: 1 day, 2:59:48 time: 0.5279 data_time: 0.0385 memory: 18108 grad_norm: 3.8694 loss: 3.6249 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0380 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.5869 2023/02/02 03:06:44 - mmengine - INFO - Epoch(train) [155][1400/1879] lr: 4.3127e-02 eta: 1 day, 2:59:38 time: 0.5185 data_time: 0.0331 memory: 18108 grad_norm: 3.9317 loss: 3.9646 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.2210 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.7436 2023/02/02 03:06:54 - mmengine - INFO - Epoch(train) [155][1420/1879] lr: 4.3119e-02 eta: 1 day, 2:59:28 time: 0.5253 data_time: 0.0331 memory: 18108 grad_norm: 3.8142 loss: 3.6433 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0929 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5505 2023/02/02 03:07:04 - mmengine - INFO - Epoch(train) [155][1440/1879] lr: 4.3112e-02 eta: 1 day, 2:59:18 time: 0.5130 data_time: 0.0328 memory: 18108 grad_norm: 3.9014 loss: 3.8121 top1_acc_0: 0.3125 top5_acc_0: 0.8750 loss_cls_0: 2.2017 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.6104 2023/02/02 03:07:15 - mmengine - INFO - Epoch(train) [155][1460/1879] lr: 4.3105e-02 eta: 1 day, 2:59:08 time: 0.5335 data_time: 0.0462 memory: 18108 grad_norm: 3.8697 loss: 3.5811 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0695 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.5116 2023/02/02 03:07:25 - mmengine - INFO - Epoch(train) [155][1480/1879] lr: 4.3097e-02 eta: 1 day, 2:58:58 time: 0.5072 data_time: 0.0301 memory: 18108 grad_norm: 3.8965 loss: 3.9390 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.3319 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.6071 2023/02/02 03:07:36 - mmengine - INFO - Epoch(train) [155][1500/1879] lr: 4.3090e-02 eta: 1 day, 2:58:48 time: 0.5375 data_time: 0.0391 memory: 18108 grad_norm: 3.8386 loss: 3.8786 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2549 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.6237 2023/02/02 03:07:46 - mmengine - INFO - Epoch(train) [155][1520/1879] lr: 4.3082e-02 eta: 1 day, 2:58:38 time: 0.5127 data_time: 0.0314 memory: 18108 grad_norm: 3.8380 loss: 3.6956 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.1090 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.5866 2023/02/02 03:07:57 - mmengine - INFO - Epoch(train) [155][1540/1879] lr: 4.3075e-02 eta: 1 day, 2:58:28 time: 0.5193 data_time: 0.0374 memory: 18108 grad_norm: 3.7874 loss: 3.7392 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.1469 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.5923 2023/02/02 03:08:07 - mmengine - INFO - Epoch(train) [155][1560/1879] lr: 4.3067e-02 eta: 1 day, 2:58:18 time: 0.5301 data_time: 0.0297 memory: 18108 grad_norm: 3.8262 loss: 3.8036 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2646 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.5389 2023/02/02 03:08:18 - mmengine - INFO - Epoch(train) [155][1580/1879] lr: 4.3060e-02 eta: 1 day, 2:58:08 time: 0.5265 data_time: 0.0390 memory: 18108 grad_norm: 3.7763 loss: 3.9054 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.3411 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.5642 2023/02/02 03:08:28 - mmengine - INFO - Epoch(train) [155][1600/1879] lr: 4.3052e-02 eta: 1 day, 2:57:58 time: 0.5097 data_time: 0.0352 memory: 18108 grad_norm: 3.8213 loss: 3.7855 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.1753 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.6103 2023/02/02 03:08:39 - mmengine - INFO - Epoch(train) [155][1620/1879] lr: 4.3045e-02 eta: 1 day, 2:57:48 time: 0.5270 data_time: 0.0368 memory: 18108 grad_norm: 3.8169 loss: 3.7912 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.2977 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.4935 2023/02/02 03:08:46 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 03:08:49 - mmengine - INFO - Epoch(train) [155][1640/1879] lr: 4.3037e-02 eta: 1 day, 2:57:37 time: 0.5115 data_time: 0.0305 memory: 18108 grad_norm: 3.8551 loss: 4.0013 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5054 top1_acc_1: 0.6941 top5_acc_1: 0.8118 loss_cls_1: 1.4958 2023/02/02 03:08:59 - mmengine - INFO - Epoch(train) [155][1660/1879] lr: 4.3030e-02 eta: 1 day, 2:57:27 time: 0.5206 data_time: 0.0426 memory: 18108 grad_norm: 3.7748 loss: 3.7547 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1616 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.5932 2023/02/02 03:09:10 - mmengine - INFO - Epoch(train) [155][1680/1879] lr: 4.3023e-02 eta: 1 day, 2:57:17 time: 0.5160 data_time: 0.0305 memory: 18108 grad_norm: 3.8521 loss: 3.6078 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0326 top1_acc_1: 0.6588 top5_acc_1: 0.9176 loss_cls_1: 1.5752 2023/02/02 03:09:20 - mmengine - INFO - Epoch(train) [155][1700/1879] lr: 4.3015e-02 eta: 1 day, 2:57:07 time: 0.5316 data_time: 0.0382 memory: 18108 grad_norm: 3.8143 loss: 3.7500 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1530 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.5969 2023/02/02 03:09:30 - mmengine - INFO - Epoch(train) [155][1720/1879] lr: 4.3008e-02 eta: 1 day, 2:56:57 time: 0.5068 data_time: 0.0328 memory: 18108 grad_norm: 3.8449 loss: 3.7141 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.1756 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.5385 2023/02/02 03:09:41 - mmengine - INFO - Epoch(train) [155][1740/1879] lr: 4.3000e-02 eta: 1 day, 2:56:47 time: 0.5351 data_time: 0.0462 memory: 18108 grad_norm: 3.7490 loss: 3.7455 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1944 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.5511 2023/02/02 03:09:52 - mmengine - INFO - Epoch(train) [155][1760/1879] lr: 4.2993e-02 eta: 1 day, 2:56:37 time: 0.5441 data_time: 0.0287 memory: 18108 grad_norm: 3.8814 loss: 3.8513 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2241 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.6272 2023/02/02 03:10:02 - mmengine - INFO - Epoch(train) [155][1780/1879] lr: 4.2985e-02 eta: 1 day, 2:56:27 time: 0.5218 data_time: 0.0379 memory: 18108 grad_norm: 3.9171 loss: 3.7763 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.1724 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6038 2023/02/02 03:10:13 - mmengine - INFO - Epoch(train) [155][1800/1879] lr: 4.2978e-02 eta: 1 day, 2:56:17 time: 0.5184 data_time: 0.0348 memory: 18108 grad_norm: 3.8977 loss: 3.8248 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2377 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.5871 2023/02/02 03:10:24 - mmengine - INFO - Epoch(train) [155][1820/1879] lr: 4.2970e-02 eta: 1 day, 2:56:07 time: 0.5414 data_time: 0.0362 memory: 18108 grad_norm: 3.7730 loss: 3.8316 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2581 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.5735 2023/02/02 03:10:34 - mmengine - INFO - Epoch(train) [155][1840/1879] lr: 4.2963e-02 eta: 1 day, 2:55:57 time: 0.5071 data_time: 0.0296 memory: 18108 grad_norm: 3.8332 loss: 3.9117 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.3136 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.5981 2023/02/02 03:10:44 - mmengine - INFO - Epoch(train) [155][1860/1879] lr: 4.2955e-02 eta: 1 day, 2:55:47 time: 0.5274 data_time: 0.0436 memory: 18108 grad_norm: 3.8925 loss: 3.7523 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1422 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6101 2023/02/02 03:10:54 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 03:10:54 - mmengine - INFO - Epoch(train) [155][1879/1879] lr: 4.2948e-02 eta: 1 day, 2:55:37 time: 0.5064 data_time: 0.0268 memory: 18108 grad_norm: 3.9998 loss: 3.8878 top1_acc_0: 0.1429 top5_acc_0: 0.5714 loss_cls_0: 2.2677 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.6201 2023/02/02 03:11:09 - mmengine - INFO - Epoch(train) [156][ 20/1879] lr: 4.2941e-02 eta: 1 day, 2:55:30 time: 0.7115 data_time: 0.2575 memory: 18108 grad_norm: 3.8794 loss: 3.8357 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3021 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.5336 2023/02/02 03:11:18 - mmengine - INFO - Epoch(train) [156][ 40/1879] lr: 4.2933e-02 eta: 1 day, 2:55:19 time: 0.4732 data_time: 0.0320 memory: 18108 grad_norm: 3.7335 loss: 3.8156 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3096 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.5060 2023/02/02 03:11:28 - mmengine - INFO - Epoch(train) [156][ 60/1879] lr: 4.2926e-02 eta: 1 day, 2:55:08 time: 0.4850 data_time: 0.0372 memory: 18108 grad_norm: 3.7608 loss: 3.7151 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2813 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.4338 2023/02/02 03:11:39 - mmengine - INFO - Epoch(train) [156][ 80/1879] lr: 4.2918e-02 eta: 1 day, 2:54:58 time: 0.5319 data_time: 0.0421 memory: 18108 grad_norm: 3.7511 loss: 3.8863 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3451 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.5412 2023/02/02 03:11:49 - mmengine - INFO - Epoch(train) [156][ 100/1879] lr: 4.2911e-02 eta: 1 day, 2:54:48 time: 0.4893 data_time: 0.0378 memory: 18108 grad_norm: 3.8369 loss: 3.6113 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0977 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.5137 2023/02/02 03:11:58 - mmengine - INFO - Epoch(train) [156][ 120/1879] lr: 4.2904e-02 eta: 1 day, 2:54:37 time: 0.4746 data_time: 0.0354 memory: 18108 grad_norm: 3.8675 loss: 3.8678 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3649 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.5029 2023/02/02 03:12:08 - mmengine - INFO - Epoch(train) [156][ 140/1879] lr: 4.2896e-02 eta: 1 day, 2:54:27 time: 0.5075 data_time: 0.0391 memory: 18108 grad_norm: 3.8518 loss: 3.9474 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3965 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.5509 2023/02/02 03:12:18 - mmengine - INFO - Epoch(train) [156][ 160/1879] lr: 4.2889e-02 eta: 1 day, 2:54:16 time: 0.4901 data_time: 0.0329 memory: 18108 grad_norm: 3.8232 loss: 3.7056 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1490 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.5566 2023/02/02 03:12:28 - mmengine - INFO - Epoch(train) [156][ 180/1879] lr: 4.2881e-02 eta: 1 day, 2:54:06 time: 0.4845 data_time: 0.0375 memory: 18108 grad_norm: 3.8054 loss: 3.6163 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.1777 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.4386 2023/02/02 03:12:37 - mmengine - INFO - Epoch(train) [156][ 200/1879] lr: 4.2874e-02 eta: 1 day, 2:53:55 time: 0.4753 data_time: 0.0344 memory: 18108 grad_norm: 3.8589 loss: 3.8013 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3575 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.4438 2023/02/02 03:12:48 - mmengine - INFO - Epoch(train) [156][ 220/1879] lr: 4.2866e-02 eta: 1 day, 2:53:45 time: 0.5203 data_time: 0.0445 memory: 18108 grad_norm: 3.8794 loss: 3.5845 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0915 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.4930 2023/02/02 03:12:58 - mmengine - INFO - Epoch(train) [156][ 240/1879] lr: 4.2859e-02 eta: 1 day, 2:53:35 time: 0.4941 data_time: 0.0317 memory: 18108 grad_norm: 3.7506 loss: 3.6873 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.1669 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.5204 2023/02/02 03:13:07 - mmengine - INFO - Epoch(train) [156][ 260/1879] lr: 4.2851e-02 eta: 1 day, 2:53:24 time: 0.4895 data_time: 0.0381 memory: 18108 grad_norm: 3.9089 loss: 3.5372 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0789 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.4583 2023/02/02 03:13:17 - mmengine - INFO - Epoch(train) [156][ 280/1879] lr: 4.2844e-02 eta: 1 day, 2:53:14 time: 0.4977 data_time: 0.0405 memory: 18108 grad_norm: 3.8261 loss: 3.7468 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1574 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.5894 2023/02/02 03:13:27 - mmengine - INFO - Epoch(train) [156][ 300/1879] lr: 4.2836e-02 eta: 1 day, 2:53:03 time: 0.4879 data_time: 0.0373 memory: 18108 grad_norm: 3.8520 loss: 3.7837 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1744 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.6093 2023/02/02 03:13:37 - mmengine - INFO - Epoch(train) [156][ 320/1879] lr: 4.2829e-02 eta: 1 day, 2:52:53 time: 0.4898 data_time: 0.0309 memory: 18108 grad_norm: 3.8364 loss: 3.8678 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2600 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.6079 2023/02/02 03:13:47 - mmengine - INFO - Epoch(train) [156][ 340/1879] lr: 4.2822e-02 eta: 1 day, 2:52:42 time: 0.4991 data_time: 0.0453 memory: 18108 grad_norm: 3.9053 loss: 3.7536 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1647 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.5890 2023/02/02 03:13:57 - mmengine - INFO - Epoch(train) [156][ 360/1879] lr: 4.2814e-02 eta: 1 day, 2:52:32 time: 0.4824 data_time: 0.0339 memory: 18108 grad_norm: 3.8571 loss: 3.7600 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.2026 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.5574 2023/02/02 03:14:07 - mmengine - INFO - Epoch(train) [156][ 380/1879] lr: 4.2807e-02 eta: 1 day, 2:52:21 time: 0.4922 data_time: 0.0365 memory: 18108 grad_norm: 3.8458 loss: 3.6854 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.1516 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5338 2023/02/02 03:14:17 - mmengine - INFO - Epoch(train) [156][ 400/1879] lr: 4.2799e-02 eta: 1 day, 2:52:11 time: 0.4989 data_time: 0.0334 memory: 18108 grad_norm: 3.7741 loss: 3.4041 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8559 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.5482 2023/02/02 03:14:27 - mmengine - INFO - Epoch(train) [156][ 420/1879] lr: 4.2792e-02 eta: 1 day, 2:52:01 time: 0.5100 data_time: 0.0454 memory: 18108 grad_norm: 3.8384 loss: 3.8313 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2919 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.5393 2023/02/02 03:14:37 - mmengine - INFO - Epoch(train) [156][ 440/1879] lr: 4.2784e-02 eta: 1 day, 2:51:50 time: 0.4931 data_time: 0.0331 memory: 18108 grad_norm: 3.8726 loss: 3.7237 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1794 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.5443 2023/02/02 03:14:47 - mmengine - INFO - Epoch(train) [156][ 460/1879] lr: 4.2777e-02 eta: 1 day, 2:51:40 time: 0.5021 data_time: 0.0358 memory: 18108 grad_norm: 3.8241 loss: 3.5628 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1173 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4455 2023/02/02 03:14:57 - mmengine - INFO - Epoch(train) [156][ 480/1879] lr: 4.2769e-02 eta: 1 day, 2:51:30 time: 0.5057 data_time: 0.0367 memory: 18108 grad_norm: 3.9672 loss: 3.8465 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3311 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.5155 2023/02/02 03:15:07 - mmengine - INFO - Epoch(train) [156][ 500/1879] lr: 4.2762e-02 eta: 1 day, 2:51:19 time: 0.5042 data_time: 0.0331 memory: 18108 grad_norm: 3.8202 loss: 3.7153 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1300 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.5854 2023/02/02 03:15:17 - mmengine - INFO - Epoch(train) [156][ 520/1879] lr: 4.2755e-02 eta: 1 day, 2:51:09 time: 0.5093 data_time: 0.0340 memory: 18108 grad_norm: 3.8692 loss: 3.5756 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0480 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.5276 2023/02/02 03:15:27 - mmengine - INFO - Epoch(train) [156][ 540/1879] lr: 4.2747e-02 eta: 1 day, 2:50:59 time: 0.5133 data_time: 0.0385 memory: 18108 grad_norm: 3.8995 loss: 3.8347 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2744 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.5603 2023/02/02 03:15:38 - mmengine - INFO - Epoch(train) [156][ 560/1879] lr: 4.2740e-02 eta: 1 day, 2:50:49 time: 0.5067 data_time: 0.0355 memory: 18108 grad_norm: 3.8194 loss: 3.4940 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.9326 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.5614 2023/02/02 03:15:48 - mmengine - INFO - Epoch(train) [156][ 580/1879] lr: 4.2732e-02 eta: 1 day, 2:50:38 time: 0.5051 data_time: 0.0321 memory: 18108 grad_norm: 3.8783 loss: 3.8800 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.3686 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.5114 2023/02/02 03:15:58 - mmengine - INFO - Epoch(train) [156][ 600/1879] lr: 4.2725e-02 eta: 1 day, 2:50:28 time: 0.5049 data_time: 0.0370 memory: 18108 grad_norm: 3.8392 loss: 3.4865 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9909 top1_acc_1: 0.6471 top5_acc_1: 0.7529 loss_cls_1: 1.4955 2023/02/02 03:16:08 - mmengine - INFO - Epoch(train) [156][ 620/1879] lr: 4.2717e-02 eta: 1 day, 2:50:18 time: 0.5285 data_time: 0.0328 memory: 18108 grad_norm: 3.8354 loss: 3.9500 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3526 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5974 2023/02/02 03:16:19 - mmengine - INFO - Epoch(train) [156][ 640/1879] lr: 4.2710e-02 eta: 1 day, 2:50:08 time: 0.5131 data_time: 0.0361 memory: 18108 grad_norm: 3.8207 loss: 3.5880 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.0474 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.5406 2023/02/02 03:16:29 - mmengine - INFO - Epoch(train) [156][ 660/1879] lr: 4.2702e-02 eta: 1 day, 2:49:58 time: 0.5165 data_time: 0.0328 memory: 18108 grad_norm: 3.9267 loss: 3.6581 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1229 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.5352 2023/02/02 03:16:39 - mmengine - INFO - Epoch(train) [156][ 680/1879] lr: 4.2695e-02 eta: 1 day, 2:49:48 time: 0.5160 data_time: 0.0412 memory: 18108 grad_norm: 3.9140 loss: 3.8047 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2368 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.5679 2023/02/02 03:16:50 - mmengine - INFO - Epoch(train) [156][ 700/1879] lr: 4.2687e-02 eta: 1 day, 2:49:38 time: 0.5177 data_time: 0.0327 memory: 18108 grad_norm: 3.8010 loss: 3.7067 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2101 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.4967 2023/02/02 03:17:00 - mmengine - INFO - Epoch(train) [156][ 720/1879] lr: 4.2680e-02 eta: 1 day, 2:49:27 time: 0.5052 data_time: 0.0372 memory: 18108 grad_norm: 3.8118 loss: 3.8728 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3696 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.5032 2023/02/02 03:17:10 - mmengine - INFO - Epoch(train) [156][ 740/1879] lr: 4.2673e-02 eta: 1 day, 2:49:17 time: 0.5159 data_time: 0.0390 memory: 18108 grad_norm: 3.8309 loss: 3.6744 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.0969 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.5775 2023/02/02 03:17:18 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 03:17:21 - mmengine - INFO - Epoch(train) [156][ 760/1879] lr: 4.2665e-02 eta: 1 day, 2:49:07 time: 0.5180 data_time: 0.0378 memory: 18108 grad_norm: 3.8533 loss: 3.5744 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.9951 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.5793 2023/02/02 03:17:31 - mmengine - INFO - Epoch(train) [156][ 780/1879] lr: 4.2658e-02 eta: 1 day, 2:48:57 time: 0.5125 data_time: 0.0316 memory: 18108 grad_norm: 3.7833 loss: 3.6022 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.0533 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.5489 2023/02/02 03:17:41 - mmengine - INFO - Epoch(train) [156][ 800/1879] lr: 4.2650e-02 eta: 1 day, 2:48:47 time: 0.5089 data_time: 0.0374 memory: 18108 grad_norm: 3.8846 loss: 3.6031 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.0853 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.5178 2023/02/02 03:17:51 - mmengine - INFO - Epoch(train) [156][ 820/1879] lr: 4.2643e-02 eta: 1 day, 2:48:36 time: 0.5135 data_time: 0.0403 memory: 18108 grad_norm: 3.8147 loss: 3.6790 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.1183 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 1.5607 2023/02/02 03:18:02 - mmengine - INFO - Epoch(train) [156][ 840/1879] lr: 4.2635e-02 eta: 1 day, 2:48:26 time: 0.5174 data_time: 0.0367 memory: 18108 grad_norm: 3.7823 loss: 3.8446 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1820 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.6626 2023/02/02 03:18:12 - mmengine - INFO - Epoch(train) [156][ 860/1879] lr: 4.2628e-02 eta: 1 day, 2:48:16 time: 0.5000 data_time: 0.0317 memory: 18108 grad_norm: 3.8371 loss: 3.6049 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0829 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.5221 2023/02/02 03:18:22 - mmengine - INFO - Epoch(train) [156][ 880/1879] lr: 4.2620e-02 eta: 1 day, 2:48:06 time: 0.5131 data_time: 0.0456 memory: 18108 grad_norm: 3.8246 loss: 3.9386 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2910 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.6476 2023/02/02 03:18:32 - mmengine - INFO - Epoch(train) [156][ 900/1879] lr: 4.2613e-02 eta: 1 day, 2:47:56 time: 0.5194 data_time: 0.0318 memory: 18108 grad_norm: 3.8858 loss: 3.6567 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0668 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.5899 2023/02/02 03:18:42 - mmengine - INFO - Epoch(train) [156][ 920/1879] lr: 4.2606e-02 eta: 1 day, 2:47:45 time: 0.5016 data_time: 0.0363 memory: 18108 grad_norm: 3.8742 loss: 3.8224 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2830 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.5394 2023/02/02 03:18:52 - mmengine - INFO - Epoch(train) [156][ 940/1879] lr: 4.2598e-02 eta: 1 day, 2:47:35 time: 0.4949 data_time: 0.0324 memory: 18108 grad_norm: 3.9105 loss: 3.7050 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1476 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.5574 2023/02/02 03:19:03 - mmengine - INFO - Epoch(train) [156][ 960/1879] lr: 4.2591e-02 eta: 1 day, 2:47:25 time: 0.5171 data_time: 0.0365 memory: 18108 grad_norm: 3.9151 loss: 3.9802 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.3815 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.5987 2023/02/02 03:19:13 - mmengine - INFO - Epoch(train) [156][ 980/1879] lr: 4.2583e-02 eta: 1 day, 2:47:14 time: 0.4985 data_time: 0.0313 memory: 18108 grad_norm: 3.7758 loss: 3.4829 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.9346 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.5482 2023/02/02 03:19:23 - mmengine - INFO - Epoch(train) [156][1000/1879] lr: 4.2576e-02 eta: 1 day, 2:47:04 time: 0.5033 data_time: 0.0376 memory: 18108 grad_norm: 3.7851 loss: 3.5915 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.0181 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.5733 2023/02/02 03:19:33 - mmengine - INFO - Epoch(train) [156][1020/1879] lr: 4.2568e-02 eta: 1 day, 2:46:54 time: 0.5058 data_time: 0.0398 memory: 18108 grad_norm: 3.8914 loss: 3.7973 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2933 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.5040 2023/02/02 03:19:43 - mmengine - INFO - Epoch(train) [156][1040/1879] lr: 4.2561e-02 eta: 1 day, 2:46:44 time: 0.5048 data_time: 0.0363 memory: 18108 grad_norm: 3.9320 loss: 3.8521 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2711 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.5811 2023/02/02 03:19:53 - mmengine - INFO - Epoch(train) [156][1060/1879] lr: 4.2553e-02 eta: 1 day, 2:46:33 time: 0.5067 data_time: 0.0285 memory: 18108 grad_norm: 3.8311 loss: 3.7883 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1810 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.6073 2023/02/02 03:20:04 - mmengine - INFO - Epoch(train) [156][1080/1879] lr: 4.2546e-02 eta: 1 day, 2:46:23 time: 0.5171 data_time: 0.0369 memory: 18108 grad_norm: 3.8428 loss: 3.5763 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.0451 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.5312 2023/02/02 03:20:14 - mmengine - INFO - Epoch(train) [156][1100/1879] lr: 4.2538e-02 eta: 1 day, 2:46:13 time: 0.5194 data_time: 0.0353 memory: 18108 grad_norm: 3.7837 loss: 3.9282 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3895 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.5387 2023/02/02 03:20:24 - mmengine - INFO - Epoch(train) [156][1120/1879] lr: 4.2531e-02 eta: 1 day, 2:46:03 time: 0.5068 data_time: 0.0356 memory: 18108 grad_norm: 3.8309 loss: 3.8402 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2788 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.5615 2023/02/02 03:20:34 - mmengine - INFO - Epoch(train) [156][1140/1879] lr: 4.2524e-02 eta: 1 day, 2:45:52 time: 0.5061 data_time: 0.0298 memory: 18108 grad_norm: 3.9140 loss: 3.7937 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1869 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.6068 2023/02/02 03:20:45 - mmengine - INFO - Epoch(train) [156][1160/1879] lr: 4.2516e-02 eta: 1 day, 2:45:42 time: 0.5270 data_time: 0.0457 memory: 18108 grad_norm: 3.8437 loss: 3.7680 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2224 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.5456 2023/02/02 03:20:55 - mmengine - INFO - Epoch(train) [156][1180/1879] lr: 4.2509e-02 eta: 1 day, 2:45:32 time: 0.5187 data_time: 0.0312 memory: 18108 grad_norm: 3.9016 loss: 3.6403 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0351 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.6052 2023/02/02 03:21:05 - mmengine - INFO - Epoch(train) [156][1200/1879] lr: 4.2501e-02 eta: 1 day, 2:45:22 time: 0.5080 data_time: 0.0359 memory: 18108 grad_norm: 3.9267 loss: 3.9405 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.3693 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.5712 2023/02/02 03:21:16 - mmengine - INFO - Epoch(train) [156][1220/1879] lr: 4.2494e-02 eta: 1 day, 2:45:12 time: 0.5122 data_time: 0.0362 memory: 18108 grad_norm: 3.7713 loss: 3.6705 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1399 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.5306 2023/02/02 03:21:26 - mmengine - INFO - Epoch(train) [156][1240/1879] lr: 4.2486e-02 eta: 1 day, 2:45:02 time: 0.5291 data_time: 0.0402 memory: 18108 grad_norm: 3.8838 loss: 3.6877 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1626 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.5251 2023/02/02 03:21:36 - mmengine - INFO - Epoch(train) [156][1260/1879] lr: 4.2479e-02 eta: 1 day, 2:44:52 time: 0.5069 data_time: 0.0281 memory: 18108 grad_norm: 3.8127 loss: 3.7650 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1738 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.5912 2023/02/02 03:21:47 - mmengine - INFO - Epoch(train) [156][1280/1879] lr: 4.2471e-02 eta: 1 day, 2:44:42 time: 0.5285 data_time: 0.0437 memory: 18108 grad_norm: 3.8656 loss: 3.9455 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3107 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.6348 2023/02/02 03:21:58 - mmengine - INFO - Epoch(train) [156][1300/1879] lr: 4.2464e-02 eta: 1 day, 2:44:32 time: 0.5352 data_time: 0.0299 memory: 18108 grad_norm: 3.9003 loss: 3.6314 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.0003 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.6311 2023/02/02 03:22:08 - mmengine - INFO - Epoch(train) [156][1320/1879] lr: 4.2457e-02 eta: 1 day, 2:44:22 time: 0.5189 data_time: 0.0384 memory: 18108 grad_norm: 3.8777 loss: 3.9073 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.1998 top1_acc_1: 0.5294 top5_acc_1: 0.7176 loss_cls_1: 1.7075 2023/02/02 03:22:18 - mmengine - INFO - Epoch(train) [156][1340/1879] lr: 4.2449e-02 eta: 1 day, 2:44:11 time: 0.5086 data_time: 0.0304 memory: 18108 grad_norm: 3.9177 loss: 3.8556 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1966 top1_acc_1: 0.5882 top5_acc_1: 0.7412 loss_cls_1: 1.6589 2023/02/02 03:22:29 - mmengine - INFO - Epoch(train) [156][1360/1879] lr: 4.2442e-02 eta: 1 day, 2:44:01 time: 0.5241 data_time: 0.0457 memory: 18108 grad_norm: 3.8864 loss: 3.8492 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.2294 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.6198 2023/02/02 03:22:39 - mmengine - INFO - Epoch(train) [156][1380/1879] lr: 4.2434e-02 eta: 1 day, 2:43:51 time: 0.5279 data_time: 0.0305 memory: 18108 grad_norm: 3.8217 loss: 3.8351 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1855 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.6496 2023/02/02 03:22:50 - mmengine - INFO - Epoch(train) [156][1400/1879] lr: 4.2427e-02 eta: 1 day, 2:43:41 time: 0.5192 data_time: 0.0381 memory: 18108 grad_norm: 3.8648 loss: 3.7455 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1421 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.6034 2023/02/02 03:23:00 - mmengine - INFO - Epoch(train) [156][1420/1879] lr: 4.2419e-02 eta: 1 day, 2:43:31 time: 0.5205 data_time: 0.0293 memory: 18108 grad_norm: 3.9148 loss: 3.9900 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3837 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.6063 2023/02/02 03:23:11 - mmengine - INFO - Epoch(train) [156][1440/1879] lr: 4.2412e-02 eta: 1 day, 2:43:21 time: 0.5239 data_time: 0.0367 memory: 18108 grad_norm: 3.7811 loss: 3.8516 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3325 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.5190 2023/02/02 03:23:21 - mmengine - INFO - Epoch(train) [156][1460/1879] lr: 4.2404e-02 eta: 1 day, 2:43:11 time: 0.5149 data_time: 0.0294 memory: 18108 grad_norm: 3.9370 loss: 3.6102 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.0190 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.5912 2023/02/02 03:23:31 - mmengine - INFO - Epoch(train) [156][1480/1879] lr: 4.2397e-02 eta: 1 day, 2:43:01 time: 0.5187 data_time: 0.0388 memory: 18108 grad_norm: 3.7882 loss: 3.7184 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1602 top1_acc_1: 0.5176 top5_acc_1: 0.8353 loss_cls_1: 1.5582 2023/02/02 03:23:42 - mmengine - INFO - Epoch(train) [156][1500/1879] lr: 4.2390e-02 eta: 1 day, 2:42:51 time: 0.5265 data_time: 0.0298 memory: 18108 grad_norm: 3.8750 loss: 4.0404 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.4031 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.6373 2023/02/02 03:23:52 - mmengine - INFO - Epoch(train) [156][1520/1879] lr: 4.2382e-02 eta: 1 day, 2:42:41 time: 0.5143 data_time: 0.0377 memory: 18108 grad_norm: 3.7954 loss: 3.7698 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1657 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.6041 2023/02/02 03:24:02 - mmengine - INFO - Epoch(train) [156][1540/1879] lr: 4.2375e-02 eta: 1 day, 2:42:30 time: 0.5103 data_time: 0.0295 memory: 18108 grad_norm: 3.9170 loss: 3.7032 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1567 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5465 2023/02/02 03:24:13 - mmengine - INFO - Epoch(train) [156][1560/1879] lr: 4.2367e-02 eta: 1 day, 2:42:20 time: 0.5277 data_time: 0.0401 memory: 18108 grad_norm: 3.8998 loss: 3.7502 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.1602 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.5899 2023/02/02 03:24:23 - mmengine - INFO - Epoch(train) [156][1580/1879] lr: 4.2360e-02 eta: 1 day, 2:42:10 time: 0.5175 data_time: 0.0296 memory: 18108 grad_norm: 3.7950 loss: 3.8867 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3490 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.5377 2023/02/02 03:24:34 - mmengine - INFO - Epoch(train) [156][1600/1879] lr: 4.2352e-02 eta: 1 day, 2:42:00 time: 0.5266 data_time: 0.0444 memory: 18108 grad_norm: 3.7986 loss: 3.8444 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3212 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.5232 2023/02/02 03:24:44 - mmengine - INFO - Epoch(train) [156][1620/1879] lr: 4.2345e-02 eta: 1 day, 2:41:50 time: 0.5218 data_time: 0.0300 memory: 18108 grad_norm: 3.8671 loss: 3.8702 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.3263 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.5439 2023/02/02 03:24:55 - mmengine - INFO - Epoch(train) [156][1640/1879] lr: 4.2337e-02 eta: 1 day, 2:41:40 time: 0.5212 data_time: 0.0381 memory: 18108 grad_norm: 3.8399 loss: 3.8474 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.2245 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.6229 2023/02/02 03:25:05 - mmengine - INFO - Epoch(train) [156][1660/1879] lr: 4.2330e-02 eta: 1 day, 2:41:30 time: 0.5126 data_time: 0.0311 memory: 18108 grad_norm: 3.9031 loss: 3.7356 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0912 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.6444 2023/02/02 03:25:16 - mmengine - INFO - Epoch(train) [156][1680/1879] lr: 4.2323e-02 eta: 1 day, 2:41:20 time: 0.5343 data_time: 0.0497 memory: 18108 grad_norm: 3.8154 loss: 3.8361 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.2638 top1_acc_1: 0.5412 top5_acc_1: 0.7765 loss_cls_1: 1.5723 2023/02/02 03:25:26 - mmengine - INFO - Epoch(train) [156][1700/1879] lr: 4.2315e-02 eta: 1 day, 2:41:10 time: 0.5121 data_time: 0.0305 memory: 18108 grad_norm: 3.8557 loss: 3.5967 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0365 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.5602 2023/02/02 03:25:37 - mmengine - INFO - Epoch(train) [156][1720/1879] lr: 4.2308e-02 eta: 1 day, 2:41:00 time: 0.5247 data_time: 0.0361 memory: 18108 grad_norm: 3.8971 loss: 3.8744 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2854 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.5890 2023/02/02 03:25:47 - mmengine - INFO - Epoch(train) [156][1740/1879] lr: 4.2300e-02 eta: 1 day, 2:40:50 time: 0.5075 data_time: 0.0307 memory: 18108 grad_norm: 3.8804 loss: 3.8273 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1899 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6374 2023/02/02 03:25:55 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 03:25:58 - mmengine - INFO - Epoch(train) [156][1760/1879] lr: 4.2293e-02 eta: 1 day, 2:40:40 time: 0.5358 data_time: 0.0364 memory: 18108 grad_norm: 3.8279 loss: 3.5863 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0562 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.5301 2023/02/02 03:26:08 - mmengine - INFO - Epoch(train) [156][1780/1879] lr: 4.2285e-02 eta: 1 day, 2:40:29 time: 0.5076 data_time: 0.0327 memory: 18108 grad_norm: 3.8727 loss: 4.0117 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3753 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.6364 2023/02/02 03:26:18 - mmengine - INFO - Epoch(train) [156][1800/1879] lr: 4.2278e-02 eta: 1 day, 2:40:19 time: 0.5216 data_time: 0.0441 memory: 18108 grad_norm: 3.8767 loss: 3.9097 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3003 top1_acc_1: 0.6706 top5_acc_1: 0.7647 loss_cls_1: 1.6094 2023/02/02 03:26:28 - mmengine - INFO - Epoch(train) [156][1820/1879] lr: 4.2270e-02 eta: 1 day, 2:40:09 time: 0.5075 data_time: 0.0315 memory: 18108 grad_norm: 3.8838 loss: 3.6952 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1242 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.5710 2023/02/02 03:26:39 - mmengine - INFO - Epoch(train) [156][1840/1879] lr: 4.2263e-02 eta: 1 day, 2:39:59 time: 0.5153 data_time: 0.0370 memory: 18108 grad_norm: 3.9085 loss: 3.9831 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3054 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.6777 2023/02/02 03:26:49 - mmengine - INFO - Epoch(train) [156][1860/1879] lr: 4.2256e-02 eta: 1 day, 2:39:49 time: 0.5043 data_time: 0.0301 memory: 18108 grad_norm: 3.9325 loss: 3.8532 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3613 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.4918 2023/02/02 03:26:58 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 03:26:58 - mmengine - INFO - Epoch(train) [156][1879/1879] lr: 4.2249e-02 eta: 1 day, 2:39:39 time: 0.5069 data_time: 0.0338 memory: 18108 grad_norm: 3.9372 loss: 3.8243 top1_acc_0: 0.4286 top5_acc_0: 0.5714 loss_cls_0: 2.3370 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.4874 2023/02/02 03:26:59 - mmengine - INFO - Saving checkpoint at 156 epochs 2023/02/02 03:27:10 - mmengine - INFO - Epoch(val) [156][ 20/155] eta: 0:01:01 time: 0.4565 data_time: 0.3436 memory: 1906 2023/02/02 03:27:19 - mmengine - INFO - Epoch(val) [156][ 40/155] eta: 0:00:51 time: 0.4415 data_time: 0.3305 memory: 1906 2023/02/02 03:27:27 - mmengine - INFO - Epoch(val) [156][ 60/155] eta: 0:00:41 time: 0.4247 data_time: 0.3136 memory: 1906 2023/02/02 03:27:36 - mmengine - INFO - Epoch(val) [156][ 80/155] eta: 0:00:33 time: 0.4565 data_time: 0.3452 memory: 1906 2023/02/02 03:27:45 - mmengine - INFO - Epoch(val) [156][100/155] eta: 0:00:24 time: 0.4483 data_time: 0.3378 memory: 1906 2023/02/02 03:27:54 - mmengine - INFO - Epoch(val) [156][120/155] eta: 0:00:15 time: 0.4609 data_time: 0.3499 memory: 1906 2023/02/02 03:28:03 - mmengine - INFO - Epoch(val) [156][140/155] eta: 0:00:06 time: 0.4386 data_time: 0.3282 memory: 1906 2023/02/02 03:28:11 - mmengine - INFO - Epoch(val) [156][155/155] acc/top1: 0.5385 acc/top5: 0.7799 acc/mean1: 0.5384 2023/02/02 03:28:11 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_140.pth is removed 2023/02/02 03:28:13 - mmengine - INFO - The best checkpoint with 0.5385 acc/top1 at 156 epoch is saved to best_acc/top1_epoch_156.pth. 2023/02/02 03:28:26 - mmengine - INFO - Epoch(train) [157][ 20/1879] lr: 4.2241e-02 eta: 1 day, 2:39:31 time: 0.6843 data_time: 0.2280 memory: 18108 grad_norm: 3.8242 loss: 3.6032 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0777 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.5254 2023/02/02 03:28:36 - mmengine - INFO - Epoch(train) [157][ 40/1879] lr: 4.2234e-02 eta: 1 day, 2:39:20 time: 0.4733 data_time: 0.0326 memory: 18108 grad_norm: 3.8493 loss: 3.3741 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9162 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.4579 2023/02/02 03:28:46 - mmengine - INFO - Epoch(train) [157][ 60/1879] lr: 4.2226e-02 eta: 1 day, 2:39:10 time: 0.5031 data_time: 0.0615 memory: 18108 grad_norm: 3.7816 loss: 3.5810 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.0605 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.5205 2023/02/02 03:28:56 - mmengine - INFO - Epoch(train) [157][ 80/1879] lr: 4.2219e-02 eta: 1 day, 2:39:00 time: 0.5070 data_time: 0.0307 memory: 18108 grad_norm: 3.8665 loss: 3.6107 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.1335 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.4772 2023/02/02 03:29:06 - mmengine - INFO - Epoch(train) [157][ 100/1879] lr: 4.2211e-02 eta: 1 day, 2:38:49 time: 0.4789 data_time: 0.0374 memory: 18108 grad_norm: 3.8471 loss: 3.6232 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1174 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.5058 2023/02/02 03:29:15 - mmengine - INFO - Epoch(train) [157][ 120/1879] lr: 4.2204e-02 eta: 1 day, 2:38:38 time: 0.4651 data_time: 0.0335 memory: 18108 grad_norm: 3.8836 loss: 3.7030 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1486 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.5544 2023/02/02 03:29:25 - mmengine - INFO - Epoch(train) [157][ 140/1879] lr: 4.2196e-02 eta: 1 day, 2:38:28 time: 0.4994 data_time: 0.0470 memory: 18108 grad_norm: 3.8218 loss: 3.7877 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1847 top1_acc_1: 0.5647 top5_acc_1: 0.8824 loss_cls_1: 1.6030 2023/02/02 03:29:35 - mmengine - INFO - Epoch(train) [157][ 160/1879] lr: 4.2189e-02 eta: 1 day, 2:38:17 time: 0.4888 data_time: 0.0334 memory: 18108 grad_norm: 3.8555 loss: 3.6155 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.0542 top1_acc_1: 0.4706 top5_acc_1: 0.7412 loss_cls_1: 1.5613 2023/02/02 03:29:44 - mmengine - INFO - Epoch(train) [157][ 180/1879] lr: 4.2182e-02 eta: 1 day, 2:38:07 time: 0.4814 data_time: 0.0387 memory: 18108 grad_norm: 3.9164 loss: 3.5746 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0844 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.4902 2023/02/02 03:29:54 - mmengine - INFO - Epoch(train) [157][ 200/1879] lr: 4.2174e-02 eta: 1 day, 2:37:56 time: 0.4898 data_time: 0.0317 memory: 18108 grad_norm: 3.8719 loss: 3.7481 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2951 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.4530 2023/02/02 03:30:05 - mmengine - INFO - Epoch(train) [157][ 220/1879] lr: 4.2167e-02 eta: 1 day, 2:37:46 time: 0.5160 data_time: 0.0439 memory: 18108 grad_norm: 3.8526 loss: 3.5785 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0396 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.5389 2023/02/02 03:30:14 - mmengine - INFO - Epoch(train) [157][ 240/1879] lr: 4.2159e-02 eta: 1 day, 2:37:35 time: 0.4835 data_time: 0.0321 memory: 18108 grad_norm: 3.9538 loss: 3.4385 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.9139 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.5245 2023/02/02 03:30:24 - mmengine - INFO - Epoch(train) [157][ 260/1879] lr: 4.2152e-02 eta: 1 day, 2:37:25 time: 0.4864 data_time: 0.0385 memory: 18108 grad_norm: 3.9491 loss: 3.9286 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3280 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.6006 2023/02/02 03:30:34 - mmengine - INFO - Epoch(train) [157][ 280/1879] lr: 4.2144e-02 eta: 1 day, 2:37:15 time: 0.5057 data_time: 0.0429 memory: 18108 grad_norm: 3.8507 loss: 3.8455 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2250 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.6206 2023/02/02 03:30:44 - mmengine - INFO - Epoch(train) [157][ 300/1879] lr: 4.2137e-02 eta: 1 day, 2:37:04 time: 0.5027 data_time: 0.0384 memory: 18108 grad_norm: 3.8721 loss: 3.3499 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.8523 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.4976 2023/02/02 03:30:54 - mmengine - INFO - Epoch(train) [157][ 320/1879] lr: 4.2130e-02 eta: 1 day, 2:36:54 time: 0.4800 data_time: 0.0312 memory: 18108 grad_norm: 3.8969 loss: 3.7538 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2517 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.5021 2023/02/02 03:31:04 - mmengine - INFO - Epoch(train) [157][ 340/1879] lr: 4.2122e-02 eta: 1 day, 2:36:43 time: 0.5016 data_time: 0.0366 memory: 18108 grad_norm: 3.9285 loss: 3.5642 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0398 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.5244 2023/02/02 03:31:14 - mmengine - INFO - Epoch(train) [157][ 360/1879] lr: 4.2115e-02 eta: 1 day, 2:36:33 time: 0.5127 data_time: 0.0317 memory: 18108 grad_norm: 3.8980 loss: 3.5970 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9610 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.6360 2023/02/02 03:31:24 - mmengine - INFO - Epoch(train) [157][ 380/1879] lr: 4.2107e-02 eta: 1 day, 2:36:23 time: 0.4895 data_time: 0.0383 memory: 18108 grad_norm: 3.8259 loss: 3.8706 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4492 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.4214 2023/02/02 03:31:34 - mmengine - INFO - Epoch(train) [157][ 400/1879] lr: 4.2100e-02 eta: 1 day, 2:36:12 time: 0.4821 data_time: 0.0316 memory: 18108 grad_norm: 3.9329 loss: 3.7163 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1978 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.5185 2023/02/02 03:31:44 - mmengine - INFO - Epoch(train) [157][ 420/1879] lr: 4.2092e-02 eta: 1 day, 2:36:02 time: 0.4944 data_time: 0.0436 memory: 18108 grad_norm: 3.8633 loss: 3.6457 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0925 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5533 2023/02/02 03:31:53 - mmengine - INFO - Epoch(train) [157][ 440/1879] lr: 4.2085e-02 eta: 1 day, 2:35:51 time: 0.4899 data_time: 0.0339 memory: 18108 grad_norm: 3.9346 loss: 3.7022 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2387 top1_acc_1: 0.6706 top5_acc_1: 0.8000 loss_cls_1: 1.4634 2023/02/02 03:32:03 - mmengine - INFO - Epoch(train) [157][ 460/1879] lr: 4.2077e-02 eta: 1 day, 2:35:41 time: 0.4958 data_time: 0.0373 memory: 18108 grad_norm: 3.9424 loss: 3.7358 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1972 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.5386 2023/02/02 03:32:13 - mmengine - INFO - Epoch(train) [157][ 480/1879] lr: 4.2070e-02 eta: 1 day, 2:35:30 time: 0.4884 data_time: 0.0396 memory: 18108 grad_norm: 3.8674 loss: 3.4335 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.9080 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.5256 2023/02/02 03:32:23 - mmengine - INFO - Epoch(train) [157][ 500/1879] lr: 4.2063e-02 eta: 1 day, 2:35:20 time: 0.4991 data_time: 0.0393 memory: 18108 grad_norm: 3.7787 loss: 3.8897 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3204 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.5693 2023/02/02 03:32:33 - mmengine - INFO - Epoch(train) [157][ 520/1879] lr: 4.2055e-02 eta: 1 day, 2:35:09 time: 0.4891 data_time: 0.0301 memory: 18108 grad_norm: 3.8691 loss: 3.5604 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9872 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.5732 2023/02/02 03:32:43 - mmengine - INFO - Epoch(train) [157][ 540/1879] lr: 4.2048e-02 eta: 1 day, 2:34:59 time: 0.4900 data_time: 0.0384 memory: 18108 grad_norm: 3.8591 loss: 3.5313 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0489 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.4824 2023/02/02 03:32:53 - mmengine - INFO - Epoch(train) [157][ 560/1879] lr: 4.2040e-02 eta: 1 day, 2:34:49 time: 0.5024 data_time: 0.0426 memory: 18108 grad_norm: 3.8995 loss: 3.5628 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0169 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.5459 2023/02/02 03:33:03 - mmengine - INFO - Epoch(train) [157][ 580/1879] lr: 4.2033e-02 eta: 1 day, 2:34:38 time: 0.4926 data_time: 0.0395 memory: 18108 grad_norm: 3.8319 loss: 3.7283 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1628 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.5655 2023/02/02 03:33:13 - mmengine - INFO - Epoch(train) [157][ 600/1879] lr: 4.2025e-02 eta: 1 day, 2:34:28 time: 0.4963 data_time: 0.0336 memory: 18108 grad_norm: 3.8416 loss: 3.6751 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2131 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.4620 2023/02/02 03:33:23 - mmengine - INFO - Epoch(train) [157][ 620/1879] lr: 4.2018e-02 eta: 1 day, 2:34:17 time: 0.4984 data_time: 0.0450 memory: 18108 grad_norm: 3.8761 loss: 3.8099 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2357 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.5743 2023/02/02 03:33:33 - mmengine - INFO - Epoch(train) [157][ 640/1879] lr: 4.2011e-02 eta: 1 day, 2:34:07 time: 0.4960 data_time: 0.0307 memory: 18108 grad_norm: 3.8020 loss: 3.6353 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1267 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.5085 2023/02/02 03:33:43 - mmengine - INFO - Epoch(train) [157][ 660/1879] lr: 4.2003e-02 eta: 1 day, 2:33:57 time: 0.5010 data_time: 0.0393 memory: 18108 grad_norm: 3.8452 loss: 3.7665 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1950 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.5715 2023/02/02 03:33:52 - mmengine - INFO - Epoch(train) [157][ 680/1879] lr: 4.1996e-02 eta: 1 day, 2:33:46 time: 0.4810 data_time: 0.0323 memory: 18108 grad_norm: 3.9161 loss: 3.7688 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1618 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.6070 2023/02/02 03:34:02 - mmengine - INFO - Epoch(train) [157][ 700/1879] lr: 4.1988e-02 eta: 1 day, 2:33:36 time: 0.5018 data_time: 0.0465 memory: 18108 grad_norm: 4.0123 loss: 3.8553 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3418 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.5135 2023/02/02 03:34:12 - mmengine - INFO - Epoch(train) [157][ 720/1879] lr: 4.1981e-02 eta: 1 day, 2:33:25 time: 0.4894 data_time: 0.0318 memory: 18108 grad_norm: 3.9129 loss: 3.5014 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.0025 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.4989 2023/02/02 03:34:22 - mmengine - INFO - Epoch(train) [157][ 740/1879] lr: 4.1973e-02 eta: 1 day, 2:33:15 time: 0.5027 data_time: 0.0379 memory: 18108 grad_norm: 3.8501 loss: 3.5972 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.1022 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.4950 2023/02/02 03:34:32 - mmengine - INFO - Epoch(train) [157][ 760/1879] lr: 4.1966e-02 eta: 1 day, 2:33:05 time: 0.4923 data_time: 0.0368 memory: 18108 grad_norm: 3.8705 loss: 3.7667 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2225 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.5442 2023/02/02 03:34:42 - mmengine - INFO - Epoch(train) [157][ 780/1879] lr: 4.1959e-02 eta: 1 day, 2:32:54 time: 0.4962 data_time: 0.0372 memory: 18108 grad_norm: 3.9292 loss: 3.7883 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2368 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.5515 2023/02/02 03:34:52 - mmengine - INFO - Epoch(train) [157][ 800/1879] lr: 4.1951e-02 eta: 1 day, 2:32:44 time: 0.4864 data_time: 0.0312 memory: 18108 grad_norm: 3.9169 loss: 3.6631 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1140 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.5490 2023/02/02 03:35:02 - mmengine - INFO - Epoch(train) [157][ 820/1879] lr: 4.1944e-02 eta: 1 day, 2:32:33 time: 0.5050 data_time: 0.0390 memory: 18108 grad_norm: 3.9279 loss: 3.7795 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1553 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.6242 2023/02/02 03:35:12 - mmengine - INFO - Epoch(train) [157][ 840/1879] lr: 4.1936e-02 eta: 1 day, 2:32:23 time: 0.4997 data_time: 0.0381 memory: 18108 grad_norm: 3.9676 loss: 3.5650 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.0278 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.5373 2023/02/02 03:35:22 - mmengine - INFO - Epoch(train) [157][ 860/1879] lr: 4.1929e-02 eta: 1 day, 2:32:13 time: 0.5021 data_time: 0.0392 memory: 18108 grad_norm: 3.8943 loss: 3.8391 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3049 top1_acc_1: 0.5412 top5_acc_1: 0.9294 loss_cls_1: 1.5342 2023/02/02 03:35:30 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 03:35:32 - mmengine - INFO - Epoch(train) [157][ 880/1879] lr: 4.1921e-02 eta: 1 day, 2:32:02 time: 0.4836 data_time: 0.0328 memory: 18108 grad_norm: 3.9161 loss: 3.8469 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2425 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6045 2023/02/02 03:35:42 - mmengine - INFO - Epoch(train) [157][ 900/1879] lr: 4.1914e-02 eta: 1 day, 2:31:52 time: 0.5244 data_time: 0.0448 memory: 18108 grad_norm: 3.8223 loss: 3.6894 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2142 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.4752 2023/02/02 03:35:52 - mmengine - INFO - Epoch(train) [157][ 920/1879] lr: 4.1906e-02 eta: 1 day, 2:31:41 time: 0.4862 data_time: 0.0327 memory: 18108 grad_norm: 3.9146 loss: 3.6757 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0609 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.6148 2023/02/02 03:36:02 - mmengine - INFO - Epoch(train) [157][ 940/1879] lr: 4.1899e-02 eta: 1 day, 2:31:31 time: 0.4968 data_time: 0.0361 memory: 18108 grad_norm: 3.8359 loss: 3.7868 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.2174 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.5694 2023/02/02 03:36:12 - mmengine - INFO - Epoch(train) [157][ 960/1879] lr: 4.1892e-02 eta: 1 day, 2:31:21 time: 0.4953 data_time: 0.0315 memory: 18108 grad_norm: 3.8442 loss: 3.6820 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1249 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.5571 2023/02/02 03:36:22 - mmengine - INFO - Epoch(train) [157][ 980/1879] lr: 4.1884e-02 eta: 1 day, 2:31:11 time: 0.5146 data_time: 0.0449 memory: 18108 grad_norm: 3.9093 loss: 3.8851 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3748 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5103 2023/02/02 03:36:32 - mmengine - INFO - Epoch(train) [157][1000/1879] lr: 4.1877e-02 eta: 1 day, 2:31:00 time: 0.4875 data_time: 0.0328 memory: 18108 grad_norm: 3.7607 loss: 3.6361 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0333 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.6027 2023/02/02 03:36:42 - mmengine - INFO - Epoch(train) [157][1020/1879] lr: 4.1869e-02 eta: 1 day, 2:30:50 time: 0.4989 data_time: 0.0392 memory: 18108 grad_norm: 3.8805 loss: 3.7714 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2702 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.5013 2023/02/02 03:36:52 - mmengine - INFO - Epoch(train) [157][1040/1879] lr: 4.1862e-02 eta: 1 day, 2:30:39 time: 0.5000 data_time: 0.0384 memory: 18108 grad_norm: 3.9088 loss: 3.6207 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 2.0794 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.5413 2023/02/02 03:37:02 - mmengine - INFO - Epoch(train) [157][1060/1879] lr: 4.1854e-02 eta: 1 day, 2:30:29 time: 0.5026 data_time: 0.0370 memory: 18108 grad_norm: 3.9089 loss: 3.7194 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.1700 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.5493 2023/02/02 03:37:12 - mmengine - INFO - Epoch(train) [157][1080/1879] lr: 4.1847e-02 eta: 1 day, 2:30:19 time: 0.4976 data_time: 0.0300 memory: 18108 grad_norm: 3.8613 loss: 3.6099 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 2.0380 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.5720 2023/02/02 03:37:22 - mmengine - INFO - Epoch(train) [157][1100/1879] lr: 4.1840e-02 eta: 1 day, 2:30:09 time: 0.5242 data_time: 0.0430 memory: 18108 grad_norm: 3.8711 loss: 3.7093 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.1853 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.5240 2023/02/02 03:37:33 - mmengine - INFO - Epoch(train) [157][1120/1879] lr: 4.1832e-02 eta: 1 day, 2:29:58 time: 0.5122 data_time: 0.0299 memory: 18108 grad_norm: 3.8829 loss: 3.5458 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9694 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5763 2023/02/02 03:37:43 - mmengine - INFO - Epoch(train) [157][1140/1879] lr: 4.1825e-02 eta: 1 day, 2:29:48 time: 0.5186 data_time: 0.0357 memory: 18108 grad_norm: 3.8659 loss: 3.6562 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.0470 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.6092 2023/02/02 03:37:53 - mmengine - INFO - Epoch(train) [157][1160/1879] lr: 4.1817e-02 eta: 1 day, 2:29:38 time: 0.5151 data_time: 0.0305 memory: 18108 grad_norm: 3.8727 loss: 3.9999 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.3701 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.6298 2023/02/02 03:38:04 - mmengine - INFO - Epoch(train) [157][1180/1879] lr: 4.1810e-02 eta: 1 day, 2:29:28 time: 0.5271 data_time: 0.0415 memory: 18108 grad_norm: 3.9367 loss: 3.5697 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9816 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.5882 2023/02/02 03:38:14 - mmengine - INFO - Epoch(train) [157][1200/1879] lr: 4.1802e-02 eta: 1 day, 2:29:18 time: 0.5157 data_time: 0.0305 memory: 18108 grad_norm: 3.8864 loss: 3.8559 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2948 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.5611 2023/02/02 03:38:25 - mmengine - INFO - Epoch(train) [157][1220/1879] lr: 4.1795e-02 eta: 1 day, 2:29:08 time: 0.5199 data_time: 0.0381 memory: 18108 grad_norm: 3.9225 loss: 3.7350 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.1828 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.5522 2023/02/02 03:38:35 - mmengine - INFO - Epoch(train) [157][1240/1879] lr: 4.1788e-02 eta: 1 day, 2:28:58 time: 0.5298 data_time: 0.0389 memory: 18108 grad_norm: 3.9233 loss: 3.7492 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2179 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.5313 2023/02/02 03:38:46 - mmengine - INFO - Epoch(train) [157][1260/1879] lr: 4.1780e-02 eta: 1 day, 2:28:48 time: 0.5203 data_time: 0.0375 memory: 18108 grad_norm: 3.8424 loss: 3.7985 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2266 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.5720 2023/02/02 03:38:56 - mmengine - INFO - Epoch(train) [157][1280/1879] lr: 4.1773e-02 eta: 1 day, 2:28:38 time: 0.5106 data_time: 0.0335 memory: 18108 grad_norm: 3.8913 loss: 3.8762 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.3799 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.4963 2023/02/02 03:39:06 - mmengine - INFO - Epoch(train) [157][1300/1879] lr: 4.1765e-02 eta: 1 day, 2:28:27 time: 0.5107 data_time: 0.0340 memory: 18108 grad_norm: 3.8656 loss: 3.6836 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1730 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.5107 2023/02/02 03:39:16 - mmengine - INFO - Epoch(train) [157][1320/1879] lr: 4.1758e-02 eta: 1 day, 2:28:17 time: 0.5170 data_time: 0.0411 memory: 18108 grad_norm: 3.8087 loss: 3.6845 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0716 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.6129 2023/02/02 03:39:27 - mmengine - INFO - Epoch(train) [157][1340/1879] lr: 4.1750e-02 eta: 1 day, 2:28:07 time: 0.5156 data_time: 0.0354 memory: 18108 grad_norm: 3.8205 loss: 3.6917 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1636 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.5281 2023/02/02 03:39:37 - mmengine - INFO - Epoch(train) [157][1360/1879] lr: 4.1743e-02 eta: 1 day, 2:27:57 time: 0.5044 data_time: 0.0332 memory: 18108 grad_norm: 3.8884 loss: 3.7977 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.2064 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.5914 2023/02/02 03:39:47 - mmengine - INFO - Epoch(train) [157][1380/1879] lr: 4.1736e-02 eta: 1 day, 2:27:47 time: 0.5226 data_time: 0.0349 memory: 18108 grad_norm: 3.8337 loss: 3.8536 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.2289 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.6247 2023/02/02 03:39:58 - mmengine - INFO - Epoch(train) [157][1400/1879] lr: 4.1728e-02 eta: 1 day, 2:27:37 time: 0.5187 data_time: 0.0413 memory: 18108 grad_norm: 3.9441 loss: 3.7192 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.1517 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.5675 2023/02/02 03:40:08 - mmengine - INFO - Epoch(train) [157][1420/1879] lr: 4.1721e-02 eta: 1 day, 2:27:26 time: 0.5050 data_time: 0.0347 memory: 18108 grad_norm: 3.8368 loss: 3.5961 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.0528 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.5433 2023/02/02 03:40:18 - mmengine - INFO - Epoch(train) [157][1440/1879] lr: 4.1713e-02 eta: 1 day, 2:27:16 time: 0.5121 data_time: 0.0294 memory: 18108 grad_norm: 3.8198 loss: 3.8076 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2731 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.5345 2023/02/02 03:40:29 - mmengine - INFO - Epoch(train) [157][1460/1879] lr: 4.1706e-02 eta: 1 day, 2:27:06 time: 0.5218 data_time: 0.0359 memory: 18108 grad_norm: 3.9099 loss: 3.6635 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0883 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.5752 2023/02/02 03:40:39 - mmengine - INFO - Epoch(train) [157][1480/1879] lr: 4.1698e-02 eta: 1 day, 2:26:56 time: 0.5016 data_time: 0.0302 memory: 18108 grad_norm: 3.9456 loss: 3.7461 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2107 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.5354 2023/02/02 03:40:49 - mmengine - INFO - Epoch(train) [157][1500/1879] lr: 4.1691e-02 eta: 1 day, 2:26:45 time: 0.5100 data_time: 0.0372 memory: 18108 grad_norm: 3.9826 loss: 3.8663 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.2463 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6199 2023/02/02 03:41:00 - mmengine - INFO - Epoch(train) [157][1520/1879] lr: 4.1684e-02 eta: 1 day, 2:26:36 time: 0.5453 data_time: 0.0380 memory: 18108 grad_norm: 3.9722 loss: 3.7899 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.1781 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.6118 2023/02/02 03:41:10 - mmengine - INFO - Epoch(train) [157][1540/1879] lr: 4.1676e-02 eta: 1 day, 2:26:25 time: 0.5124 data_time: 0.0365 memory: 18108 grad_norm: 3.9274 loss: 3.8234 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2150 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.6084 2023/02/02 03:41:20 - mmengine - INFO - Epoch(train) [157][1560/1879] lr: 4.1669e-02 eta: 1 day, 2:26:15 time: 0.5106 data_time: 0.0325 memory: 18108 grad_norm: 3.8685 loss: 3.8460 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.3220 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.5239 2023/02/02 03:41:31 - mmengine - INFO - Epoch(train) [157][1580/1879] lr: 4.1661e-02 eta: 1 day, 2:26:05 time: 0.5202 data_time: 0.0378 memory: 18108 grad_norm: 3.8443 loss: 3.7966 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.2988 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.4978 2023/02/02 03:41:41 - mmengine - INFO - Epoch(train) [157][1600/1879] lr: 4.1654e-02 eta: 1 day, 2:25:55 time: 0.5281 data_time: 0.0368 memory: 18108 grad_norm: 3.9347 loss: 3.8579 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2733 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.5846 2023/02/02 03:41:52 - mmengine - INFO - Epoch(train) [157][1620/1879] lr: 4.1646e-02 eta: 1 day, 2:25:45 time: 0.5108 data_time: 0.0398 memory: 18108 grad_norm: 3.8493 loss: 3.9500 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3267 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.6234 2023/02/02 03:42:02 - mmengine - INFO - Epoch(train) [157][1640/1879] lr: 4.1639e-02 eta: 1 day, 2:25:35 time: 0.5225 data_time: 0.0301 memory: 18108 grad_norm: 3.9113 loss: 3.6460 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2407 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.4053 2023/02/02 03:42:13 - mmengine - INFO - Epoch(train) [157][1660/1879] lr: 4.1632e-02 eta: 1 day, 2:25:25 time: 0.5437 data_time: 0.0488 memory: 18108 grad_norm: 3.8091 loss: 3.6847 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1675 top1_acc_1: 0.6235 top5_acc_1: 0.9059 loss_cls_1: 1.5172 2023/02/02 03:42:23 - mmengine - INFO - Epoch(train) [157][1680/1879] lr: 4.1624e-02 eta: 1 day, 2:25:15 time: 0.5080 data_time: 0.0266 memory: 18108 grad_norm: 3.8840 loss: 3.9112 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2851 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.6260 2023/02/02 03:42:33 - mmengine - INFO - Epoch(train) [157][1700/1879] lr: 4.1617e-02 eta: 1 day, 2:25:04 time: 0.5017 data_time: 0.0349 memory: 18108 grad_norm: 3.9181 loss: 3.8487 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2753 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5734 2023/02/02 03:42:44 - mmengine - INFO - Epoch(train) [157][1720/1879] lr: 4.1609e-02 eta: 1 day, 2:24:54 time: 0.5186 data_time: 0.0393 memory: 18108 grad_norm: 3.8067 loss: 3.9691 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.4097 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.5595 2023/02/02 03:42:54 - mmengine - INFO - Epoch(train) [157][1740/1879] lr: 4.1602e-02 eta: 1 day, 2:24:44 time: 0.5296 data_time: 0.0372 memory: 18108 grad_norm: 3.8307 loss: 3.7855 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2147 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.5708 2023/02/02 03:43:04 - mmengine - INFO - Epoch(train) [157][1760/1879] lr: 4.1595e-02 eta: 1 day, 2:24:34 time: 0.5110 data_time: 0.0303 memory: 18108 grad_norm: 3.9361 loss: 3.8402 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2691 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.5711 2023/02/02 03:43:15 - mmengine - INFO - Epoch(train) [157][1780/1879] lr: 4.1587e-02 eta: 1 day, 2:24:24 time: 0.5122 data_time: 0.0347 memory: 18108 grad_norm: 3.8662 loss: 3.8712 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.3281 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.5431 2023/02/02 03:43:25 - mmengine - INFO - Epoch(train) [157][1800/1879] lr: 4.1580e-02 eta: 1 day, 2:24:14 time: 0.5226 data_time: 0.0357 memory: 18108 grad_norm: 3.8801 loss: 3.6189 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0971 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.5218 2023/02/02 03:43:35 - mmengine - INFO - Epoch(train) [157][1820/1879] lr: 4.1572e-02 eta: 1 day, 2:24:04 time: 0.5099 data_time: 0.0369 memory: 18108 grad_norm: 3.8447 loss: 3.7102 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0945 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.6157 2023/02/02 03:43:45 - mmengine - INFO - Epoch(train) [157][1840/1879] lr: 4.1565e-02 eta: 1 day, 2:23:53 time: 0.5015 data_time: 0.0314 memory: 18108 grad_norm: 3.9383 loss: 3.6289 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.1302 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.4987 2023/02/02 03:43:56 - mmengine - INFO - Epoch(train) [157][1860/1879] lr: 4.1557e-02 eta: 1 day, 2:23:43 time: 0.5278 data_time: 0.0416 memory: 18108 grad_norm: 3.9248 loss: 3.8187 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2127 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.6060 2023/02/02 03:44:04 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 03:44:05 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 03:44:05 - mmengine - INFO - Epoch(train) [157][1879/1879] lr: 4.1550e-02 eta: 1 day, 2:23:33 time: 0.4925 data_time: 0.0271 memory: 18108 grad_norm: 4.0094 loss: 3.8268 top1_acc_0: 0.5714 top5_acc_0: 0.7143 loss_cls_0: 2.2138 top1_acc_1: 0.5176 top5_acc_1: 0.7765 loss_cls_1: 1.6130 2023/02/02 03:44:21 - mmengine - INFO - Epoch(train) [158][ 20/1879] lr: 4.1543e-02 eta: 1 day, 2:23:26 time: 0.7186 data_time: 0.2564 memory: 18108 grad_norm: 3.7795 loss: 3.4589 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9949 top1_acc_1: 0.7412 top5_acc_1: 0.8471 loss_cls_1: 1.4640 2023/02/02 03:44:30 - mmengine - INFO - Epoch(train) [158][ 40/1879] lr: 4.1535e-02 eta: 1 day, 2:23:15 time: 0.4786 data_time: 0.0353 memory: 18108 grad_norm: 3.8760 loss: 3.7284 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2224 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.5060 2023/02/02 03:44:40 - mmengine - INFO - Epoch(train) [158][ 60/1879] lr: 4.1528e-02 eta: 1 day, 2:23:05 time: 0.4792 data_time: 0.0357 memory: 18108 grad_norm: 3.9188 loss: 3.7063 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1055 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.6007 2023/02/02 03:44:50 - mmengine - INFO - Epoch(train) [158][ 80/1879] lr: 4.1521e-02 eta: 1 day, 2:22:54 time: 0.5155 data_time: 0.0436 memory: 18108 grad_norm: 3.8929 loss: 3.4404 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9786 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.4618 2023/02/02 03:45:00 - mmengine - INFO - Epoch(train) [158][ 100/1879] lr: 4.1513e-02 eta: 1 day, 2:22:44 time: 0.4818 data_time: 0.0354 memory: 18108 grad_norm: 3.8721 loss: 3.5961 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0506 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.5455 2023/02/02 03:45:09 - mmengine - INFO - Epoch(train) [158][ 120/1879] lr: 4.1506e-02 eta: 1 day, 2:22:33 time: 0.4794 data_time: 0.0355 memory: 18108 grad_norm: 3.9121 loss: 3.5394 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9961 top1_acc_1: 0.6588 top5_acc_1: 0.9176 loss_cls_1: 1.5433 2023/02/02 03:45:19 - mmengine - INFO - Epoch(train) [158][ 140/1879] lr: 4.1498e-02 eta: 1 day, 2:22:23 time: 0.5040 data_time: 0.0344 memory: 18108 grad_norm: 3.7900 loss: 3.5763 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.1542 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.4221 2023/02/02 03:45:29 - mmengine - INFO - Epoch(train) [158][ 160/1879] lr: 4.1491e-02 eta: 1 day, 2:22:13 time: 0.4950 data_time: 0.0446 memory: 18108 grad_norm: 3.9474 loss: 3.8726 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3040 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.5686 2023/02/02 03:45:39 - mmengine - INFO - Epoch(train) [158][ 180/1879] lr: 4.1484e-02 eta: 1 day, 2:22:02 time: 0.4820 data_time: 0.0366 memory: 18108 grad_norm: 3.9065 loss: 3.9107 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.3310 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.5797 2023/02/02 03:45:49 - mmengine - INFO - Epoch(train) [158][ 200/1879] lr: 4.1476e-02 eta: 1 day, 2:21:51 time: 0.4765 data_time: 0.0365 memory: 18108 grad_norm: 3.8471 loss: 3.7176 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1383 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.5793 2023/02/02 03:45:59 - mmengine - INFO - Epoch(train) [158][ 220/1879] lr: 4.1469e-02 eta: 1 day, 2:21:41 time: 0.5216 data_time: 0.0442 memory: 18108 grad_norm: 3.8695 loss: 3.9349 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3386 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.5963 2023/02/02 03:46:09 - mmengine - INFO - Epoch(train) [158][ 240/1879] lr: 4.1461e-02 eta: 1 day, 2:21:31 time: 0.4851 data_time: 0.0366 memory: 18108 grad_norm: 3.9044 loss: 3.9187 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3304 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.5883 2023/02/02 03:46:18 - mmengine - INFO - Epoch(train) [158][ 260/1879] lr: 4.1454e-02 eta: 1 day, 2:21:20 time: 0.4809 data_time: 0.0359 memory: 18108 grad_norm: 3.8887 loss: 3.6763 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.2080 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.4683 2023/02/02 03:46:28 - mmengine - INFO - Epoch(train) [158][ 280/1879] lr: 4.1446e-02 eta: 1 day, 2:21:10 time: 0.4848 data_time: 0.0346 memory: 18108 grad_norm: 3.8624 loss: 3.4643 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 1.9752 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4892 2023/02/02 03:46:38 - mmengine - INFO - Epoch(train) [158][ 300/1879] lr: 4.1439e-02 eta: 1 day, 2:20:59 time: 0.5030 data_time: 0.0424 memory: 18108 grad_norm: 3.8555 loss: 3.8641 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3753 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.4888 2023/02/02 03:46:48 - mmengine - INFO - Epoch(train) [158][ 320/1879] lr: 4.1432e-02 eta: 1 day, 2:20:49 time: 0.4819 data_time: 0.0358 memory: 18108 grad_norm: 3.8586 loss: 3.8014 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.3566 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.4448 2023/02/02 03:46:58 - mmengine - INFO - Epoch(train) [158][ 340/1879] lr: 4.1424e-02 eta: 1 day, 2:20:38 time: 0.4896 data_time: 0.0348 memory: 18108 grad_norm: 3.9566 loss: 3.7893 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.2672 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.5222 2023/02/02 03:47:08 - mmengine - INFO - Epoch(train) [158][ 360/1879] lr: 4.1417e-02 eta: 1 day, 2:20:28 time: 0.5005 data_time: 0.0330 memory: 18108 grad_norm: 3.9131 loss: 3.8395 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2628 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.5768 2023/02/02 03:47:18 - mmengine - INFO - Epoch(train) [158][ 380/1879] lr: 4.1409e-02 eta: 1 day, 2:20:18 time: 0.5068 data_time: 0.0417 memory: 18108 grad_norm: 4.0877 loss: 3.8183 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.2457 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.5726 2023/02/02 03:47:27 - mmengine - INFO - Epoch(train) [158][ 400/1879] lr: 4.1402e-02 eta: 1 day, 2:20:07 time: 0.4838 data_time: 0.0347 memory: 18108 grad_norm: 3.9605 loss: 3.8796 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2648 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.6148 2023/02/02 03:47:38 - mmengine - INFO - Epoch(train) [158][ 420/1879] lr: 4.1394e-02 eta: 1 day, 2:19:57 time: 0.5068 data_time: 0.0353 memory: 18108 grad_norm: 3.9717 loss: 3.7101 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1072 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.6030 2023/02/02 03:47:47 - mmengine - INFO - Epoch(train) [158][ 440/1879] lr: 4.1387e-02 eta: 1 day, 2:19:46 time: 0.4923 data_time: 0.0359 memory: 18108 grad_norm: 3.8747 loss: 3.6171 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.0996 top1_acc_1: 0.6588 top5_acc_1: 0.7882 loss_cls_1: 1.5174 2023/02/02 03:47:58 - mmengine - INFO - Epoch(train) [158][ 460/1879] lr: 4.1380e-02 eta: 1 day, 2:19:36 time: 0.5076 data_time: 0.0346 memory: 18108 grad_norm: 3.9152 loss: 3.8398 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.3493 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.4905 2023/02/02 03:48:07 - mmengine - INFO - Epoch(train) [158][ 480/1879] lr: 4.1372e-02 eta: 1 day, 2:19:26 time: 0.4830 data_time: 0.0359 memory: 18108 grad_norm: 3.8629 loss: 3.6509 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1699 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.4810 2023/02/02 03:48:18 - mmengine - INFO - Epoch(train) [158][ 500/1879] lr: 4.1365e-02 eta: 1 day, 2:19:15 time: 0.5089 data_time: 0.0342 memory: 18108 grad_norm: 3.9572 loss: 3.5785 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.0636 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.5149 2023/02/02 03:48:27 - mmengine - INFO - Epoch(train) [158][ 520/1879] lr: 4.1357e-02 eta: 1 day, 2:19:05 time: 0.4967 data_time: 0.0337 memory: 18108 grad_norm: 3.8759 loss: 3.6474 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0666 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.5808 2023/02/02 03:48:37 - mmengine - INFO - Epoch(train) [158][ 540/1879] lr: 4.1350e-02 eta: 1 day, 2:18:55 time: 0.4972 data_time: 0.0412 memory: 18108 grad_norm: 4.0272 loss: 4.0394 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.5312 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.5083 2023/02/02 03:48:47 - mmengine - INFO - Epoch(train) [158][ 560/1879] lr: 4.1343e-02 eta: 1 day, 2:18:44 time: 0.5010 data_time: 0.0324 memory: 18108 grad_norm: 3.8313 loss: 3.6096 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0785 top1_acc_1: 0.7647 top5_acc_1: 0.8471 loss_cls_1: 1.5311 2023/02/02 03:48:58 - mmengine - INFO - Epoch(train) [158][ 580/1879] lr: 4.1335e-02 eta: 1 day, 2:18:34 time: 0.5011 data_time: 0.0338 memory: 18108 grad_norm: 3.8725 loss: 3.7539 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1473 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.6066 2023/02/02 03:49:08 - mmengine - INFO - Epoch(train) [158][ 600/1879] lr: 4.1328e-02 eta: 1 day, 2:18:24 time: 0.5172 data_time: 0.0354 memory: 18108 grad_norm: 3.8459 loss: 3.6471 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0606 top1_acc_1: 0.5059 top5_acc_1: 0.8118 loss_cls_1: 1.5865 2023/02/02 03:49:18 - mmengine - INFO - Epoch(train) [158][ 620/1879] lr: 4.1320e-02 eta: 1 day, 2:18:13 time: 0.5022 data_time: 0.0353 memory: 18108 grad_norm: 3.9127 loss: 3.5699 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.9410 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.6289 2023/02/02 03:49:28 - mmengine - INFO - Epoch(train) [158][ 640/1879] lr: 4.1313e-02 eta: 1 day, 2:18:03 time: 0.4947 data_time: 0.0331 memory: 18108 grad_norm: 3.9808 loss: 3.9022 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3139 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.5883 2023/02/02 03:49:38 - mmengine - INFO - Epoch(train) [158][ 660/1879] lr: 4.1305e-02 eta: 1 day, 2:17:53 time: 0.5149 data_time: 0.0337 memory: 18108 grad_norm: 3.9077 loss: 3.7797 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.1626 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.6172 2023/02/02 03:49:48 - mmengine - INFO - Epoch(train) [158][ 680/1879] lr: 4.1298e-02 eta: 1 day, 2:17:42 time: 0.4994 data_time: 0.0423 memory: 18108 grad_norm: 3.9392 loss: 3.8006 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2464 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.5542 2023/02/02 03:49:58 - mmengine - INFO - Epoch(train) [158][ 700/1879] lr: 4.1291e-02 eta: 1 day, 2:17:32 time: 0.4953 data_time: 0.0361 memory: 18108 grad_norm: 3.8837 loss: 3.9400 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4509 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.4891 2023/02/02 03:50:08 - mmengine - INFO - Epoch(train) [158][ 720/1879] lr: 4.1283e-02 eta: 1 day, 2:17:22 time: 0.5020 data_time: 0.0348 memory: 18108 grad_norm: 3.9102 loss: 4.1563 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.5288 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.6275 2023/02/02 03:50:18 - mmengine - INFO - Epoch(train) [158][ 740/1879] lr: 4.1276e-02 eta: 1 day, 2:17:11 time: 0.5040 data_time: 0.0345 memory: 18108 grad_norm: 3.9074 loss: 3.5229 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.9865 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.5364 2023/02/02 03:50:28 - mmengine - INFO - Epoch(train) [158][ 760/1879] lr: 4.1268e-02 eta: 1 day, 2:17:01 time: 0.5028 data_time: 0.0409 memory: 18108 grad_norm: 3.9196 loss: 3.4264 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9100 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.5164 2023/02/02 03:50:38 - mmengine - INFO - Epoch(train) [158][ 780/1879] lr: 4.1261e-02 eta: 1 day, 2:16:51 time: 0.4927 data_time: 0.0349 memory: 18108 grad_norm: 3.8671 loss: 3.6861 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1196 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.5665 2023/02/02 03:50:48 - mmengine - INFO - Epoch(train) [158][ 800/1879] lr: 4.1254e-02 eta: 1 day, 2:16:40 time: 0.5056 data_time: 0.0333 memory: 18108 grad_norm: 3.8953 loss: 3.5677 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0378 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.5299 2023/02/02 03:50:59 - mmengine - INFO - Epoch(train) [158][ 820/1879] lr: 4.1246e-02 eta: 1 day, 2:16:30 time: 0.5179 data_time: 0.0425 memory: 18108 grad_norm: 3.8791 loss: 3.6365 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.1105 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.5260 2023/02/02 03:51:09 - mmengine - INFO - Epoch(train) [158][ 840/1879] lr: 4.1239e-02 eta: 1 day, 2:16:20 time: 0.4949 data_time: 0.0370 memory: 18108 grad_norm: 3.9217 loss: 3.5994 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0229 top1_acc_1: 0.7647 top5_acc_1: 0.8706 loss_cls_1: 1.5765 2023/02/02 03:51:19 - mmengine - INFO - Epoch(train) [158][ 860/1879] lr: 4.1231e-02 eta: 1 day, 2:16:10 time: 0.5089 data_time: 0.0357 memory: 18108 grad_norm: 3.9073 loss: 3.5481 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0113 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5368 2023/02/02 03:51:29 - mmengine - INFO - Epoch(train) [158][ 880/1879] lr: 4.1224e-02 eta: 1 day, 2:15:59 time: 0.5119 data_time: 0.0342 memory: 18108 grad_norm: 3.9140 loss: 3.7688 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1934 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.5755 2023/02/02 03:51:40 - mmengine - INFO - Epoch(train) [158][ 900/1879] lr: 4.1216e-02 eta: 1 day, 2:15:49 time: 0.5231 data_time: 0.0405 memory: 18108 grad_norm: 3.8313 loss: 3.8538 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2731 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.5807 2023/02/02 03:51:50 - mmengine - INFO - Epoch(train) [158][ 920/1879] lr: 4.1209e-02 eta: 1 day, 2:15:39 time: 0.5118 data_time: 0.0344 memory: 18108 grad_norm: 3.8842 loss: 3.9525 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3481 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.6044 2023/02/02 03:52:00 - mmengine - INFO - Epoch(train) [158][ 940/1879] lr: 4.1202e-02 eta: 1 day, 2:15:29 time: 0.5110 data_time: 0.0332 memory: 18108 grad_norm: 3.8299 loss: 3.7401 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1183 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.6217 2023/02/02 03:52:10 - mmengine - INFO - Epoch(train) [158][ 960/1879] lr: 4.1194e-02 eta: 1 day, 2:15:19 time: 0.5143 data_time: 0.0366 memory: 18108 grad_norm: 3.9018 loss: 3.8208 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2399 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.5810 2023/02/02 03:52:21 - mmengine - INFO - Epoch(train) [158][ 980/1879] lr: 4.1187e-02 eta: 1 day, 2:15:09 time: 0.5117 data_time: 0.0386 memory: 18108 grad_norm: 3.8862 loss: 3.7662 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1971 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.5691 2023/02/02 03:52:29 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 03:52:31 - mmengine - INFO - Epoch(train) [158][1000/1879] lr: 4.1179e-02 eta: 1 day, 2:14:58 time: 0.5149 data_time: 0.0282 memory: 18108 grad_norm: 3.8686 loss: 3.7383 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1857 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.5526 2023/02/02 03:52:41 - mmengine - INFO - Epoch(train) [158][1020/1879] lr: 4.1172e-02 eta: 1 day, 2:14:48 time: 0.5252 data_time: 0.0356 memory: 18108 grad_norm: 3.8747 loss: 3.7831 top1_acc_0: 0.1875 top5_acc_0: 0.3750 loss_cls_0: 2.2103 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.5729 2023/02/02 03:52:52 - mmengine - INFO - Epoch(train) [158][1040/1879] lr: 4.1165e-02 eta: 1 day, 2:14:38 time: 0.5124 data_time: 0.0294 memory: 18108 grad_norm: 3.8949 loss: 3.9102 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3122 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5980 2023/02/02 03:53:02 - mmengine - INFO - Epoch(train) [158][1060/1879] lr: 4.1157e-02 eta: 1 day, 2:14:28 time: 0.5136 data_time: 0.0366 memory: 18108 grad_norm: 3.8640 loss: 3.7241 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2103 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.5138 2023/02/02 03:53:13 - mmengine - INFO - Epoch(train) [158][1080/1879] lr: 4.1150e-02 eta: 1 day, 2:14:18 time: 0.5283 data_time: 0.0297 memory: 18108 grad_norm: 3.8259 loss: 3.8296 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.3503 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.4793 2023/02/02 03:53:23 - mmengine - INFO - Epoch(train) [158][1100/1879] lr: 4.1142e-02 eta: 1 day, 2:14:08 time: 0.5203 data_time: 0.0345 memory: 18108 grad_norm: 3.8534 loss: 3.5555 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0811 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.4744 2023/02/02 03:53:33 - mmengine - INFO - Epoch(train) [158][1120/1879] lr: 4.1135e-02 eta: 1 day, 2:13:58 time: 0.5082 data_time: 0.0301 memory: 18108 grad_norm: 3.9296 loss: 3.8608 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3091 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.5517 2023/02/02 03:53:43 - mmengine - INFO - Epoch(train) [158][1140/1879] lr: 4.1128e-02 eta: 1 day, 2:13:47 time: 0.5123 data_time: 0.0357 memory: 18108 grad_norm: 3.8506 loss: 3.7442 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2728 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.4715 2023/02/02 03:53:54 - mmengine - INFO - Epoch(train) [158][1160/1879] lr: 4.1120e-02 eta: 1 day, 2:13:37 time: 0.5280 data_time: 0.0311 memory: 18108 grad_norm: 3.7865 loss: 3.9184 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3146 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.6038 2023/02/02 03:54:04 - mmengine - INFO - Epoch(train) [158][1180/1879] lr: 4.1113e-02 eta: 1 day, 2:13:27 time: 0.5202 data_time: 0.0418 memory: 18108 grad_norm: 3.8863 loss: 3.6645 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0782 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.5863 2023/02/02 03:54:15 - mmengine - INFO - Epoch(train) [158][1200/1879] lr: 4.1105e-02 eta: 1 day, 2:13:17 time: 0.5199 data_time: 0.0300 memory: 18108 grad_norm: 3.9585 loss: 3.6804 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.0646 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6157 2023/02/02 03:54:25 - mmengine - INFO - Epoch(train) [158][1220/1879] lr: 4.1098e-02 eta: 1 day, 2:13:07 time: 0.5279 data_time: 0.0370 memory: 18108 grad_norm: 3.9499 loss: 3.8651 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2320 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.6331 2023/02/02 03:54:36 - mmengine - INFO - Epoch(train) [158][1240/1879] lr: 4.1090e-02 eta: 1 day, 2:12:57 time: 0.5227 data_time: 0.0373 memory: 18108 grad_norm: 3.9913 loss: 3.7100 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1774 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.5327 2023/02/02 03:54:46 - mmengine - INFO - Epoch(train) [158][1260/1879] lr: 4.1083e-02 eta: 1 day, 2:12:47 time: 0.5219 data_time: 0.0382 memory: 18108 grad_norm: 3.9263 loss: 3.7452 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.1398 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.6053 2023/02/02 03:54:57 - mmengine - INFO - Epoch(train) [158][1280/1879] lr: 4.1076e-02 eta: 1 day, 2:12:37 time: 0.5116 data_time: 0.0317 memory: 18108 grad_norm: 3.9396 loss: 3.7533 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2263 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.5270 2023/02/02 03:55:07 - mmengine - INFO - Epoch(train) [158][1300/1879] lr: 4.1068e-02 eta: 1 day, 2:12:27 time: 0.5404 data_time: 0.0372 memory: 18108 grad_norm: 3.8895 loss: 3.6369 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0764 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.5605 2023/02/02 03:55:18 - mmengine - INFO - Epoch(train) [158][1320/1879] lr: 4.1061e-02 eta: 1 day, 2:12:17 time: 0.5122 data_time: 0.0293 memory: 18108 grad_norm: 3.8328 loss: 3.8625 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2785 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.5840 2023/02/02 03:55:28 - mmengine - INFO - Epoch(train) [158][1340/1879] lr: 4.1053e-02 eta: 1 day, 2:12:07 time: 0.5250 data_time: 0.0371 memory: 18108 grad_norm: 3.8551 loss: 3.6745 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.1216 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.5530 2023/02/02 03:55:39 - mmengine - INFO - Epoch(train) [158][1360/1879] lr: 4.1046e-02 eta: 1 day, 2:11:57 time: 0.5190 data_time: 0.0316 memory: 18108 grad_norm: 3.9291 loss: 3.6222 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1172 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.5050 2023/02/02 03:55:49 - mmengine - INFO - Epoch(train) [158][1380/1879] lr: 4.1039e-02 eta: 1 day, 2:11:47 time: 0.5374 data_time: 0.0418 memory: 18108 grad_norm: 4.0228 loss: 3.4869 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0219 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.4650 2023/02/02 03:56:00 - mmengine - INFO - Epoch(train) [158][1400/1879] lr: 4.1031e-02 eta: 1 day, 2:11:37 time: 0.5149 data_time: 0.0304 memory: 18108 grad_norm: 3.9892 loss: 3.7353 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2274 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.5079 2023/02/02 03:56:10 - mmengine - INFO - Epoch(train) [158][1420/1879] lr: 4.1024e-02 eta: 1 day, 2:11:27 time: 0.5236 data_time: 0.0343 memory: 18108 grad_norm: 3.8613 loss: 3.7400 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.1913 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.5487 2023/02/02 03:56:21 - mmengine - INFO - Epoch(train) [158][1440/1879] lr: 4.1016e-02 eta: 1 day, 2:11:17 time: 0.5272 data_time: 0.0360 memory: 18108 grad_norm: 3.9069 loss: 3.8955 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2521 top1_acc_1: 0.5176 top5_acc_1: 0.8000 loss_cls_1: 1.6434 2023/02/02 03:56:31 - mmengine - INFO - Epoch(train) [158][1460/1879] lr: 4.1009e-02 eta: 1 day, 2:11:07 time: 0.5313 data_time: 0.0374 memory: 18108 grad_norm: 3.9952 loss: 3.5885 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0890 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.4995 2023/02/02 03:56:42 - mmengine - INFO - Epoch(train) [158][1480/1879] lr: 4.1002e-02 eta: 1 day, 2:10:57 time: 0.5221 data_time: 0.0299 memory: 18108 grad_norm: 3.9289 loss: 3.8614 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1851 top1_acc_1: 0.5412 top5_acc_1: 0.7294 loss_cls_1: 1.6762 2023/02/02 03:56:53 - mmengine - INFO - Epoch(train) [158][1500/1879] lr: 4.0994e-02 eta: 1 day, 2:10:47 time: 0.5413 data_time: 0.0420 memory: 18108 grad_norm: 3.9435 loss: 3.6301 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1356 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.4945 2023/02/02 03:57:03 - mmengine - INFO - Epoch(train) [158][1520/1879] lr: 4.0987e-02 eta: 1 day, 2:10:37 time: 0.5151 data_time: 0.0304 memory: 18108 grad_norm: 3.9015 loss: 3.8427 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.2831 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.5596 2023/02/02 03:57:14 - mmengine - INFO - Epoch(train) [158][1540/1879] lr: 4.0979e-02 eta: 1 day, 2:10:27 time: 0.5417 data_time: 0.0348 memory: 18108 grad_norm: 3.9881 loss: 3.7174 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1934 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.5239 2023/02/02 03:57:25 - mmengine - INFO - Epoch(train) [158][1560/1879] lr: 4.0972e-02 eta: 1 day, 2:10:17 time: 0.5334 data_time: 0.0315 memory: 18108 grad_norm: 3.9581 loss: 3.7514 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2526 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.4988 2023/02/02 03:57:35 - mmengine - INFO - Epoch(train) [158][1580/1879] lr: 4.0965e-02 eta: 1 day, 2:10:07 time: 0.5243 data_time: 0.0382 memory: 18108 grad_norm: 3.9565 loss: 3.7385 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1543 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5842 2023/02/02 03:57:45 - mmengine - INFO - Epoch(train) [158][1600/1879] lr: 4.0957e-02 eta: 1 day, 2:09:57 time: 0.5182 data_time: 0.0292 memory: 18108 grad_norm: 3.9044 loss: 3.8462 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2970 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.5492 2023/02/02 03:57:56 - mmengine - INFO - Epoch(train) [158][1620/1879] lr: 4.0950e-02 eta: 1 day, 2:09:47 time: 0.5363 data_time: 0.0351 memory: 18108 grad_norm: 3.8645 loss: 3.6733 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0806 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.5927 2023/02/02 03:58:07 - mmengine - INFO - Epoch(train) [158][1640/1879] lr: 4.0942e-02 eta: 1 day, 2:09:37 time: 0.5298 data_time: 0.0383 memory: 18108 grad_norm: 3.8410 loss: 3.7567 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.1980 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.5587 2023/02/02 03:58:17 - mmengine - INFO - Epoch(train) [158][1660/1879] lr: 4.0935e-02 eta: 1 day, 2:09:27 time: 0.5298 data_time: 0.0384 memory: 18108 grad_norm: 3.9049 loss: 3.7895 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2006 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.5888 2023/02/02 03:58:28 - mmengine - INFO - Epoch(train) [158][1680/1879] lr: 4.0927e-02 eta: 1 day, 2:09:17 time: 0.5322 data_time: 0.0304 memory: 18108 grad_norm: 3.8958 loss: 3.8683 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.2591 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6091 2023/02/02 03:58:39 - mmengine - INFO - Epoch(train) [158][1700/1879] lr: 4.0920e-02 eta: 1 day, 2:09:07 time: 0.5481 data_time: 0.0427 memory: 18108 grad_norm: 3.8831 loss: 3.7764 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.1776 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.5988 2023/02/02 03:58:50 - mmengine - INFO - Epoch(train) [158][1720/1879] lr: 4.0913e-02 eta: 1 day, 2:08:57 time: 0.5238 data_time: 0.0298 memory: 18108 grad_norm: 3.9389 loss: 3.8086 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2972 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.5114 2023/02/02 03:59:00 - mmengine - INFO - Epoch(train) [158][1740/1879] lr: 4.0905e-02 eta: 1 day, 2:08:47 time: 0.5438 data_time: 0.0358 memory: 18108 grad_norm: 3.9053 loss: 3.7441 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1379 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.6063 2023/02/02 03:59:11 - mmengine - INFO - Epoch(train) [158][1760/1879] lr: 4.0898e-02 eta: 1 day, 2:08:37 time: 0.5480 data_time: 0.0308 memory: 18108 grad_norm: 3.8868 loss: 4.0515 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.4573 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.5941 2023/02/02 03:59:22 - mmengine - INFO - Epoch(train) [158][1780/1879] lr: 4.0890e-02 eta: 1 day, 2:08:28 time: 0.5359 data_time: 0.0424 memory: 18108 grad_norm: 3.8590 loss: 3.7957 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1742 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.6215 2023/02/02 03:59:33 - mmengine - INFO - Epoch(train) [158][1800/1879] lr: 4.0883e-02 eta: 1 day, 2:08:18 time: 0.5462 data_time: 0.0305 memory: 18108 grad_norm: 3.9667 loss: 3.7537 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1944 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.5593 2023/02/02 03:59:44 - mmengine - INFO - Epoch(train) [158][1820/1879] lr: 4.0876e-02 eta: 1 day, 2:08:08 time: 0.5426 data_time: 0.0375 memory: 18108 grad_norm: 3.8260 loss: 3.7376 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.2015 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.5362 2023/02/02 03:59:55 - mmengine - INFO - Epoch(train) [158][1840/1879] lr: 4.0868e-02 eta: 1 day, 2:07:58 time: 0.5307 data_time: 0.0320 memory: 18108 grad_norm: 3.9079 loss: 3.7295 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1354 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.5941 2023/02/02 04:00:05 - mmengine - INFO - Epoch(train) [158][1860/1879] lr: 4.0861e-02 eta: 1 day, 2:07:48 time: 0.5408 data_time: 0.0414 memory: 18108 grad_norm: 3.9254 loss: 3.5922 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.0887 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.5036 2023/02/02 04:00:15 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 04:00:15 - mmengine - INFO - Epoch(train) [158][1879/1879] lr: 4.0854e-02 eta: 1 day, 2:07:39 time: 0.5205 data_time: 0.0269 memory: 18108 grad_norm: 3.9519 loss: 3.6570 top1_acc_0: 0.4286 top5_acc_0: 0.4286 loss_cls_0: 2.0157 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.6413 2023/02/02 04:00:31 - mmengine - INFO - Epoch(train) [159][ 20/1879] lr: 4.0846e-02 eta: 1 day, 2:07:31 time: 0.7302 data_time: 0.2648 memory: 18108 grad_norm: 3.8360 loss: 3.9301 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.3678 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.5622 2023/02/02 04:00:40 - mmengine - INFO - Epoch(train) [159][ 40/1879] lr: 4.0839e-02 eta: 1 day, 2:07:20 time: 0.4706 data_time: 0.0328 memory: 18108 grad_norm: 3.7478 loss: 3.6298 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1033 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.5265 2023/02/02 04:00:49 - mmengine - INFO - Epoch(train) [159][ 60/1879] lr: 4.0832e-02 eta: 1 day, 2:07:10 time: 0.4758 data_time: 0.0381 memory: 18108 grad_norm: 3.8504 loss: 3.7613 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2343 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.5271 2023/02/02 04:01:00 - mmengine - INFO - Epoch(train) [159][ 80/1879] lr: 4.0824e-02 eta: 1 day, 2:07:00 time: 0.5211 data_time: 0.0420 memory: 18108 grad_norm: 3.9096 loss: 3.6943 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1777 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.5166 2023/02/02 04:01:09 - mmengine - INFO - Epoch(train) [159][ 100/1879] lr: 4.0817e-02 eta: 1 day, 2:06:49 time: 0.4746 data_time: 0.0387 memory: 18108 grad_norm: 3.8376 loss: 3.4613 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9742 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.4871 2023/02/02 04:01:18 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 04:01:19 - mmengine - INFO - Epoch(train) [159][ 120/1879] lr: 4.0809e-02 eta: 1 day, 2:06:38 time: 0.4704 data_time: 0.0321 memory: 18108 grad_norm: 3.9208 loss: 3.8204 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2974 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.5229 2023/02/02 04:01:29 - mmengine - INFO - Epoch(train) [159][ 140/1879] lr: 4.0802e-02 eta: 1 day, 2:06:28 time: 0.4922 data_time: 0.0447 memory: 18108 grad_norm: 3.9603 loss: 3.5566 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 2.0741 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.4825 2023/02/02 04:01:39 - mmengine - INFO - Epoch(train) [159][ 160/1879] lr: 4.0795e-02 eta: 1 day, 2:06:17 time: 0.4996 data_time: 0.0335 memory: 18108 grad_norm: 3.8948 loss: 3.7334 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.2122 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.5212 2023/02/02 04:01:49 - mmengine - INFO - Epoch(train) [159][ 180/1879] lr: 4.0787e-02 eta: 1 day, 2:06:07 time: 0.4919 data_time: 0.0375 memory: 18108 grad_norm: 3.8728 loss: 3.4402 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.9923 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.4479 2023/02/02 04:01:58 - mmengine - INFO - Epoch(train) [159][ 200/1879] lr: 4.0780e-02 eta: 1 day, 2:05:56 time: 0.4867 data_time: 0.0326 memory: 18108 grad_norm: 3.8820 loss: 3.5227 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0737 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4491 2023/02/02 04:02:09 - mmengine - INFO - Epoch(train) [159][ 220/1879] lr: 4.0772e-02 eta: 1 day, 2:05:46 time: 0.5222 data_time: 0.0447 memory: 18108 grad_norm: 3.9487 loss: 3.7254 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2215 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.5039 2023/02/02 04:02:19 - mmengine - INFO - Epoch(train) [159][ 240/1879] lr: 4.0765e-02 eta: 1 day, 2:05:36 time: 0.4932 data_time: 0.0344 memory: 18108 grad_norm: 3.8654 loss: 3.6443 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0834 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.5609 2023/02/02 04:02:29 - mmengine - INFO - Epoch(train) [159][ 260/1879] lr: 4.0758e-02 eta: 1 day, 2:05:25 time: 0.4893 data_time: 0.0356 memory: 18108 grad_norm: 3.9758 loss: 3.7647 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2209 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.5439 2023/02/02 04:02:39 - mmengine - INFO - Epoch(train) [159][ 280/1879] lr: 4.0750e-02 eta: 1 day, 2:05:15 time: 0.5025 data_time: 0.0360 memory: 18108 grad_norm: 3.9874 loss: 3.6674 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0967 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.5706 2023/02/02 04:02:49 - mmengine - INFO - Epoch(train) [159][ 300/1879] lr: 4.0743e-02 eta: 1 day, 2:05:05 time: 0.5078 data_time: 0.0428 memory: 18108 grad_norm: 3.9132 loss: 3.6597 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2348 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.4248 2023/02/02 04:02:59 - mmengine - INFO - Epoch(train) [159][ 320/1879] lr: 4.0735e-02 eta: 1 day, 2:04:55 time: 0.5027 data_time: 0.0351 memory: 18108 grad_norm: 3.9271 loss: 3.7174 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1454 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.5721 2023/02/02 04:03:09 - mmengine - INFO - Epoch(train) [159][ 340/1879] lr: 4.0728e-02 eta: 1 day, 2:04:44 time: 0.5014 data_time: 0.0348 memory: 18108 grad_norm: 3.9151 loss: 3.5325 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.9902 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.5423 2023/02/02 04:03:19 - mmengine - INFO - Epoch(train) [159][ 360/1879] lr: 4.0721e-02 eta: 1 day, 2:04:34 time: 0.4916 data_time: 0.0348 memory: 18108 grad_norm: 3.9621 loss: 3.7340 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2365 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.4975 2023/02/02 04:03:29 - mmengine - INFO - Epoch(train) [159][ 380/1879] lr: 4.0713e-02 eta: 1 day, 2:04:23 time: 0.4963 data_time: 0.0358 memory: 18108 grad_norm: 3.8618 loss: 3.4743 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.9012 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.5731 2023/02/02 04:03:39 - mmengine - INFO - Epoch(train) [159][ 400/1879] lr: 4.0706e-02 eta: 1 day, 2:04:13 time: 0.5138 data_time: 0.0358 memory: 18108 grad_norm: 3.8777 loss: 3.5994 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0875 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.5119 2023/02/02 04:03:49 - mmengine - INFO - Epoch(train) [159][ 420/1879] lr: 4.0698e-02 eta: 1 day, 2:04:03 time: 0.5022 data_time: 0.0323 memory: 18108 grad_norm: 3.9813 loss: 3.7230 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1941 top1_acc_1: 0.5176 top5_acc_1: 0.8353 loss_cls_1: 1.5289 2023/02/02 04:03:59 - mmengine - INFO - Epoch(train) [159][ 440/1879] lr: 4.0691e-02 eta: 1 day, 2:03:52 time: 0.4985 data_time: 0.0372 memory: 18108 grad_norm: 3.9398 loss: 3.7751 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1857 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.5894 2023/02/02 04:04:09 - mmengine - INFO - Epoch(train) [159][ 460/1879] lr: 4.0684e-02 eta: 1 day, 2:03:42 time: 0.5099 data_time: 0.0311 memory: 18108 grad_norm: 3.9202 loss: 3.5342 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.9716 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.5625 2023/02/02 04:04:19 - mmengine - INFO - Epoch(train) [159][ 480/1879] lr: 4.0676e-02 eta: 1 day, 2:03:32 time: 0.4940 data_time: 0.0361 memory: 18108 grad_norm: 3.8785 loss: 3.7033 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.2162 top1_acc_1: 0.6588 top5_acc_1: 0.7765 loss_cls_1: 1.4871 2023/02/02 04:04:29 - mmengine - INFO - Epoch(train) [159][ 500/1879] lr: 4.0669e-02 eta: 1 day, 2:03:22 time: 0.5055 data_time: 0.0385 memory: 18108 grad_norm: 3.9716 loss: 3.6492 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0105 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.6387 2023/02/02 04:04:39 - mmengine - INFO - Epoch(train) [159][ 520/1879] lr: 4.0661e-02 eta: 1 day, 2:03:11 time: 0.4976 data_time: 0.0386 memory: 18108 grad_norm: 3.9694 loss: 3.8623 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3262 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.5362 2023/02/02 04:04:49 - mmengine - INFO - Epoch(train) [159][ 540/1879] lr: 4.0654e-02 eta: 1 day, 2:03:01 time: 0.4972 data_time: 0.0320 memory: 18108 grad_norm: 3.9563 loss: 3.6183 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0742 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.5440 2023/02/02 04:04:59 - mmengine - INFO - Epoch(train) [159][ 560/1879] lr: 4.0647e-02 eta: 1 day, 2:02:50 time: 0.4994 data_time: 0.0422 memory: 18108 grad_norm: 3.9537 loss: 3.6438 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0778 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.5659 2023/02/02 04:05:09 - mmengine - INFO - Epoch(train) [159][ 580/1879] lr: 4.0639e-02 eta: 1 day, 2:02:40 time: 0.4956 data_time: 0.0305 memory: 18108 grad_norm: 4.0362 loss: 3.8373 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2184 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.6189 2023/02/02 04:05:19 - mmengine - INFO - Epoch(train) [159][ 600/1879] lr: 4.0632e-02 eta: 1 day, 2:02:30 time: 0.5011 data_time: 0.0370 memory: 18108 grad_norm: 3.9932 loss: 3.9127 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.3432 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.5694 2023/02/02 04:05:29 - mmengine - INFO - Epoch(train) [159][ 620/1879] lr: 4.0624e-02 eta: 1 day, 2:02:19 time: 0.4915 data_time: 0.0330 memory: 18108 grad_norm: 3.9316 loss: 4.0213 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5129 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.5084 2023/02/02 04:05:39 - mmengine - INFO - Epoch(train) [159][ 640/1879] lr: 4.0617e-02 eta: 1 day, 2:02:09 time: 0.5022 data_time: 0.0413 memory: 18108 grad_norm: 3.9891 loss: 3.6861 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1121 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5740 2023/02/02 04:05:49 - mmengine - INFO - Epoch(train) [159][ 660/1879] lr: 4.0610e-02 eta: 1 day, 2:01:59 time: 0.4995 data_time: 0.0315 memory: 18108 grad_norm: 3.9322 loss: 3.7583 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1658 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.5925 2023/02/02 04:05:59 - mmengine - INFO - Epoch(train) [159][ 680/1879] lr: 4.0602e-02 eta: 1 day, 2:01:48 time: 0.4973 data_time: 0.0393 memory: 18108 grad_norm: 3.8629 loss: 3.6991 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.1780 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.5211 2023/02/02 04:06:09 - mmengine - INFO - Epoch(train) [159][ 700/1879] lr: 4.0595e-02 eta: 1 day, 2:01:38 time: 0.5006 data_time: 0.0382 memory: 18108 grad_norm: 3.9481 loss: 3.8578 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.2824 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.5754 2023/02/02 04:06:19 - mmengine - INFO - Epoch(train) [159][ 720/1879] lr: 4.0587e-02 eta: 1 day, 2:01:28 time: 0.5113 data_time: 0.0352 memory: 18108 grad_norm: 3.9264 loss: 3.7354 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.1841 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.5513 2023/02/02 04:06:29 - mmengine - INFO - Epoch(train) [159][ 740/1879] lr: 4.0580e-02 eta: 1 day, 2:01:17 time: 0.4994 data_time: 0.0324 memory: 18108 grad_norm: 3.9005 loss: 3.4225 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9760 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.4464 2023/02/02 04:06:39 - mmengine - INFO - Epoch(train) [159][ 760/1879] lr: 4.0573e-02 eta: 1 day, 2:01:07 time: 0.4957 data_time: 0.0407 memory: 18108 grad_norm: 3.9742 loss: 3.7242 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.1813 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.5429 2023/02/02 04:06:50 - mmengine - INFO - Epoch(train) [159][ 780/1879] lr: 4.0565e-02 eta: 1 day, 2:00:57 time: 0.5135 data_time: 0.0317 memory: 18108 grad_norm: 3.9266 loss: 3.6985 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1508 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.5477 2023/02/02 04:07:00 - mmengine - INFO - Epoch(train) [159][ 800/1879] lr: 4.0558e-02 eta: 1 day, 2:00:46 time: 0.5058 data_time: 0.0374 memory: 18108 grad_norm: 3.9610 loss: 3.7449 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2579 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.4870 2023/02/02 04:07:10 - mmengine - INFO - Epoch(train) [159][ 820/1879] lr: 4.0550e-02 eta: 1 day, 2:00:36 time: 0.5004 data_time: 0.0291 memory: 18108 grad_norm: 3.9544 loss: 3.8715 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.3157 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5557 2023/02/02 04:07:20 - mmengine - INFO - Epoch(train) [159][ 840/1879] lr: 4.0543e-02 eta: 1 day, 2:00:26 time: 0.5144 data_time: 0.0370 memory: 18108 grad_norm: 3.9893 loss: 3.9745 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3980 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.5765 2023/02/02 04:07:30 - mmengine - INFO - Epoch(train) [159][ 860/1879] lr: 4.0536e-02 eta: 1 day, 2:00:16 time: 0.4966 data_time: 0.0290 memory: 18108 grad_norm: 3.9243 loss: 3.7258 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2528 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.4730 2023/02/02 04:07:40 - mmengine - INFO - Epoch(train) [159][ 880/1879] lr: 4.0528e-02 eta: 1 day, 2:00:05 time: 0.5105 data_time: 0.0384 memory: 18108 grad_norm: 3.8337 loss: 3.6309 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0156 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.6153 2023/02/02 04:07:50 - mmengine - INFO - Epoch(train) [159][ 900/1879] lr: 4.0521e-02 eta: 1 day, 1:59:55 time: 0.5066 data_time: 0.0300 memory: 18108 grad_norm: 3.9006 loss: 3.8175 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1865 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.6311 2023/02/02 04:08:01 - mmengine - INFO - Epoch(train) [159][ 920/1879] lr: 4.0513e-02 eta: 1 day, 1:59:45 time: 0.5080 data_time: 0.0451 memory: 18108 grad_norm: 3.8239 loss: 3.6714 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.0613 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.6102 2023/02/02 04:08:11 - mmengine - INFO - Epoch(train) [159][ 940/1879] lr: 4.0506e-02 eta: 1 day, 1:59:34 time: 0.4993 data_time: 0.0309 memory: 18108 grad_norm: 3.9343 loss: 3.7907 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.2200 top1_acc_1: 0.5059 top5_acc_1: 0.7412 loss_cls_1: 1.5707 2023/02/02 04:08:21 - mmengine - INFO - Epoch(train) [159][ 960/1879] lr: 4.0499e-02 eta: 1 day, 1:59:24 time: 0.5086 data_time: 0.0376 memory: 18108 grad_norm: 3.9250 loss: 3.6506 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1452 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.5053 2023/02/02 04:08:31 - mmengine - INFO - Epoch(train) [159][ 980/1879] lr: 4.0491e-02 eta: 1 day, 1:59:14 time: 0.5083 data_time: 0.0381 memory: 18108 grad_norm: 3.9272 loss: 3.6381 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.1452 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.4929 2023/02/02 04:08:41 - mmengine - INFO - Epoch(train) [159][1000/1879] lr: 4.0484e-02 eta: 1 day, 1:59:04 time: 0.5107 data_time: 0.0400 memory: 18108 grad_norm: 3.9576 loss: 3.5706 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0207 top1_acc_1: 0.7529 top5_acc_1: 0.8353 loss_cls_1: 1.5498 2023/02/02 04:08:51 - mmengine - INFO - Epoch(train) [159][1020/1879] lr: 4.0476e-02 eta: 1 day, 1:58:53 time: 0.5063 data_time: 0.0297 memory: 18108 grad_norm: 3.9623 loss: 3.7060 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1610 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.5449 2023/02/02 04:09:01 - mmengine - INFO - Epoch(train) [159][1040/1879] lr: 4.0469e-02 eta: 1 day, 1:58:43 time: 0.5064 data_time: 0.0402 memory: 18108 grad_norm: 3.8753 loss: 3.7068 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2224 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.4844 2023/02/02 04:09:12 - mmengine - INFO - Epoch(train) [159][1060/1879] lr: 4.0462e-02 eta: 1 day, 1:58:33 time: 0.5080 data_time: 0.0377 memory: 18108 grad_norm: 3.9536 loss: 3.7572 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2509 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.5063 2023/02/02 04:09:22 - mmengine - INFO - Epoch(train) [159][1080/1879] lr: 4.0454e-02 eta: 1 day, 1:58:23 time: 0.5153 data_time: 0.0374 memory: 18108 grad_norm: 3.8968 loss: 3.6707 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1489 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.5219 2023/02/02 04:09:32 - mmengine - INFO - Epoch(train) [159][1100/1879] lr: 4.0447e-02 eta: 1 day, 1:58:13 time: 0.5164 data_time: 0.0301 memory: 18108 grad_norm: 3.9684 loss: 3.6809 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1592 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.5216 2023/02/02 04:09:41 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 04:09:42 - mmengine - INFO - Epoch(train) [159][1120/1879] lr: 4.0440e-02 eta: 1 day, 1:58:02 time: 0.5009 data_time: 0.0453 memory: 18108 grad_norm: 3.9578 loss: 3.7495 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1904 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.5591 2023/02/02 04:09:52 - mmengine - INFO - Epoch(train) [159][1140/1879] lr: 4.0432e-02 eta: 1 day, 1:57:52 time: 0.5036 data_time: 0.0297 memory: 18108 grad_norm: 3.8852 loss: 3.4902 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9516 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5386 2023/02/02 04:10:03 - mmengine - INFO - Epoch(train) [159][1160/1879] lr: 4.0425e-02 eta: 1 day, 1:57:42 time: 0.5142 data_time: 0.0381 memory: 18108 grad_norm: 3.9720 loss: 3.8047 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3199 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.4848 2023/02/02 04:10:13 - mmengine - INFO - Epoch(train) [159][1180/1879] lr: 4.0417e-02 eta: 1 day, 1:57:32 time: 0.5051 data_time: 0.0298 memory: 18108 grad_norm: 3.9723 loss: 3.7218 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2109 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.5109 2023/02/02 04:10:23 - mmengine - INFO - Epoch(train) [159][1200/1879] lr: 4.0410e-02 eta: 1 day, 1:57:21 time: 0.4987 data_time: 0.0429 memory: 18108 grad_norm: 3.9412 loss: 3.7783 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.1626 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.6158 2023/02/02 04:10:33 - mmengine - INFO - Epoch(train) [159][1220/1879] lr: 4.0403e-02 eta: 1 day, 1:57:11 time: 0.5141 data_time: 0.0283 memory: 18108 grad_norm: 3.9517 loss: 3.7474 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1679 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5795 2023/02/02 04:10:43 - mmengine - INFO - Epoch(train) [159][1240/1879] lr: 4.0395e-02 eta: 1 day, 1:57:01 time: 0.5059 data_time: 0.0368 memory: 18108 grad_norm: 3.9243 loss: 3.9390 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.3844 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.5546 2023/02/02 04:10:53 - mmengine - INFO - Epoch(train) [159][1260/1879] lr: 4.0388e-02 eta: 1 day, 1:56:50 time: 0.5010 data_time: 0.0396 memory: 18108 grad_norm: 3.9538 loss: 3.7271 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1810 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.5461 2023/02/02 04:11:04 - mmengine - INFO - Epoch(train) [159][1280/1879] lr: 4.0380e-02 eta: 1 day, 1:56:40 time: 0.5141 data_time: 0.0371 memory: 18108 grad_norm: 3.9903 loss: 3.6585 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1056 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.5530 2023/02/02 04:11:14 - mmengine - INFO - Epoch(train) [159][1300/1879] lr: 4.0373e-02 eta: 1 day, 1:56:30 time: 0.5245 data_time: 0.0313 memory: 18108 grad_norm: 3.9694 loss: 3.6789 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1211 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.5578 2023/02/02 04:11:25 - mmengine - INFO - Epoch(train) [159][1320/1879] lr: 4.0366e-02 eta: 1 day, 1:56:20 time: 0.5220 data_time: 0.0451 memory: 18108 grad_norm: 3.8635 loss: 3.6482 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0799 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.5683 2023/02/02 04:11:35 - mmengine - INFO - Epoch(train) [159][1340/1879] lr: 4.0358e-02 eta: 1 day, 1:56:10 time: 0.5189 data_time: 0.0311 memory: 18108 grad_norm: 3.9002 loss: 3.7497 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1252 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.6245 2023/02/02 04:11:46 - mmengine - INFO - Epoch(train) [159][1360/1879] lr: 4.0351e-02 eta: 1 day, 1:56:00 time: 0.5282 data_time: 0.0379 memory: 18108 grad_norm: 3.9823 loss: 3.7572 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.2055 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.5517 2023/02/02 04:11:56 - mmengine - INFO - Epoch(train) [159][1380/1879] lr: 4.0343e-02 eta: 1 day, 1:55:50 time: 0.5250 data_time: 0.0297 memory: 18108 grad_norm: 3.8793 loss: 3.6034 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0231 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.5803 2023/02/02 04:12:07 - mmengine - INFO - Epoch(train) [159][1400/1879] lr: 4.0336e-02 eta: 1 day, 1:55:40 time: 0.5382 data_time: 0.0463 memory: 18108 grad_norm: 3.8470 loss: 3.7092 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.1385 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.5707 2023/02/02 04:12:17 - mmengine - INFO - Epoch(train) [159][1420/1879] lr: 4.0329e-02 eta: 1 day, 1:55:30 time: 0.5120 data_time: 0.0292 memory: 18108 grad_norm: 3.8399 loss: 3.6975 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1008 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.5967 2023/02/02 04:12:28 - mmengine - INFO - Epoch(train) [159][1440/1879] lr: 4.0321e-02 eta: 1 day, 1:55:20 time: 0.5331 data_time: 0.0373 memory: 18108 grad_norm: 3.9669 loss: 3.6096 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0086 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.6010 2023/02/02 04:12:38 - mmengine - INFO - Epoch(train) [159][1460/1879] lr: 4.0314e-02 eta: 1 day, 1:55:10 time: 0.5081 data_time: 0.0289 memory: 18108 grad_norm: 3.9358 loss: 3.8916 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.3385 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.5531 2023/02/02 04:12:48 - mmengine - INFO - Epoch(train) [159][1480/1879] lr: 4.0306e-02 eta: 1 day, 1:54:59 time: 0.5119 data_time: 0.0391 memory: 18108 grad_norm: 3.8946 loss: 3.6050 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0555 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.5495 2023/02/02 04:12:58 - mmengine - INFO - Epoch(train) [159][1500/1879] lr: 4.0299e-02 eta: 1 day, 1:54:49 time: 0.5110 data_time: 0.0297 memory: 18108 grad_norm: 4.0131 loss: 3.9340 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.3818 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.5522 2023/02/02 04:13:09 - mmengine - INFO - Epoch(train) [159][1520/1879] lr: 4.0292e-02 eta: 1 day, 1:54:39 time: 0.5050 data_time: 0.0393 memory: 18108 grad_norm: 4.0345 loss: 3.8976 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2841 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.6136 2023/02/02 04:13:19 - mmengine - INFO - Epoch(train) [159][1540/1879] lr: 4.0284e-02 eta: 1 day, 1:54:29 time: 0.5084 data_time: 0.0360 memory: 18108 grad_norm: 4.0352 loss: 3.7884 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1616 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.6268 2023/02/02 04:13:29 - mmengine - INFO - Epoch(train) [159][1560/1879] lr: 4.0277e-02 eta: 1 day, 1:54:18 time: 0.5058 data_time: 0.0387 memory: 18108 grad_norm: 3.9625 loss: 3.6377 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.0737 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.5639 2023/02/02 04:13:39 - mmengine - INFO - Epoch(train) [159][1580/1879] lr: 4.0270e-02 eta: 1 day, 1:54:08 time: 0.5061 data_time: 0.0296 memory: 18108 grad_norm: 4.0149 loss: 3.8053 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2208 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.5845 2023/02/02 04:13:49 - mmengine - INFO - Epoch(train) [159][1600/1879] lr: 4.0262e-02 eta: 1 day, 1:53:58 time: 0.5182 data_time: 0.0519 memory: 18108 grad_norm: 3.9308 loss: 3.6315 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1244 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5071 2023/02/02 04:14:00 - mmengine - INFO - Epoch(train) [159][1620/1879] lr: 4.0255e-02 eta: 1 day, 1:53:48 time: 0.5032 data_time: 0.0297 memory: 18108 grad_norm: 3.9610 loss: 3.5676 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0384 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5292 2023/02/02 04:14:10 - mmengine - INFO - Epoch(train) [159][1640/1879] lr: 4.0247e-02 eta: 1 day, 1:53:37 time: 0.5065 data_time: 0.0369 memory: 18108 grad_norm: 3.9669 loss: 3.8730 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2972 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.5758 2023/02/02 04:14:20 - mmengine - INFO - Epoch(train) [159][1660/1879] lr: 4.0240e-02 eta: 1 day, 1:53:27 time: 0.5013 data_time: 0.0285 memory: 18108 grad_norm: 3.9949 loss: 3.7908 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.2625 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.5283 2023/02/02 04:14:30 - mmengine - INFO - Epoch(train) [159][1680/1879] lr: 4.0233e-02 eta: 1 day, 1:53:17 time: 0.5311 data_time: 0.0467 memory: 18108 grad_norm: 3.9309 loss: 3.7165 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1132 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.6033 2023/02/02 04:14:41 - mmengine - INFO - Epoch(train) [159][1700/1879] lr: 4.0225e-02 eta: 1 day, 1:53:07 time: 0.5100 data_time: 0.0305 memory: 18108 grad_norm: 3.9767 loss: 3.9047 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3055 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.5992 2023/02/02 04:14:51 - mmengine - INFO - Epoch(train) [159][1720/1879] lr: 4.0218e-02 eta: 1 day, 1:52:57 time: 0.5014 data_time: 0.0381 memory: 18108 grad_norm: 3.8407 loss: 3.7463 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2323 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.5141 2023/02/02 04:15:01 - mmengine - INFO - Epoch(train) [159][1740/1879] lr: 4.0210e-02 eta: 1 day, 1:52:46 time: 0.5158 data_time: 0.0308 memory: 18108 grad_norm: 3.8410 loss: 3.6828 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.0735 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.6093 2023/02/02 04:15:11 - mmengine - INFO - Epoch(train) [159][1760/1879] lr: 4.0203e-02 eta: 1 day, 1:52:36 time: 0.5239 data_time: 0.0381 memory: 18108 grad_norm: 3.9395 loss: 3.6280 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1597 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.4683 2023/02/02 04:15:22 - mmengine - INFO - Epoch(train) [159][1780/1879] lr: 4.0196e-02 eta: 1 day, 1:52:26 time: 0.5123 data_time: 0.0302 memory: 18108 grad_norm: 3.9871 loss: 3.7605 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2408 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.5197 2023/02/02 04:15:32 - mmengine - INFO - Epoch(train) [159][1800/1879] lr: 4.0188e-02 eta: 1 day, 1:52:16 time: 0.5032 data_time: 0.0356 memory: 18108 grad_norm: 3.9206 loss: 3.6339 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0306 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.6033 2023/02/02 04:15:42 - mmengine - INFO - Epoch(train) [159][1820/1879] lr: 4.0181e-02 eta: 1 day, 1:52:06 time: 0.5214 data_time: 0.0304 memory: 18108 grad_norm: 3.9462 loss: 3.7854 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.2220 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5634 2023/02/02 04:15:52 - mmengine - INFO - Epoch(train) [159][1840/1879] lr: 4.0174e-02 eta: 1 day, 1:51:55 time: 0.5025 data_time: 0.0366 memory: 18108 grad_norm: 3.9358 loss: 3.8179 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.2758 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.5421 2023/02/02 04:16:02 - mmengine - INFO - Epoch(train) [159][1860/1879] lr: 4.0166e-02 eta: 1 day, 1:51:45 time: 0.5027 data_time: 0.0302 memory: 18108 grad_norm: 4.0469 loss: 3.7880 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2260 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.5621 2023/02/02 04:16:12 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 04:16:12 - mmengine - INFO - Epoch(train) [159][1879/1879] lr: 4.0159e-02 eta: 1 day, 1:51:35 time: 0.4914 data_time: 0.0320 memory: 18108 grad_norm: 4.0316 loss: 3.8948 top1_acc_0: 0.5714 top5_acc_0: 0.7143 loss_cls_0: 2.3200 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.5747 2023/02/02 04:16:27 - mmengine - INFO - Epoch(train) [160][ 20/1879] lr: 4.0152e-02 eta: 1 day, 1:51:28 time: 0.7129 data_time: 0.2553 memory: 18108 grad_norm: 3.8550 loss: 3.6688 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1027 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.5662 2023/02/02 04:16:36 - mmengine - INFO - Epoch(train) [160][ 40/1879] lr: 4.0144e-02 eta: 1 day, 1:51:17 time: 0.4829 data_time: 0.0353 memory: 18108 grad_norm: 3.8646 loss: 3.6290 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.1220 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.5071 2023/02/02 04:16:46 - mmengine - INFO - Epoch(train) [160][ 60/1879] lr: 4.0137e-02 eta: 1 day, 1:51:06 time: 0.4821 data_time: 0.0339 memory: 18108 grad_norm: 3.8950 loss: 3.7804 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2342 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5461 2023/02/02 04:16:57 - mmengine - INFO - Epoch(train) [160][ 80/1879] lr: 4.0130e-02 eta: 1 day, 1:50:56 time: 0.5224 data_time: 0.0434 memory: 18108 grad_norm: 3.9218 loss: 3.6727 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.1896 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.4831 2023/02/02 04:17:06 - mmengine - INFO - Epoch(train) [160][ 100/1879] lr: 4.0122e-02 eta: 1 day, 1:50:46 time: 0.4841 data_time: 0.0368 memory: 18108 grad_norm: 3.9176 loss: 3.7054 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1799 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.5255 2023/02/02 04:17:16 - mmengine - INFO - Epoch(train) [160][ 120/1879] lr: 4.0115e-02 eta: 1 day, 1:50:35 time: 0.4804 data_time: 0.0347 memory: 18108 grad_norm: 3.8669 loss: 3.5662 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.1555 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.4107 2023/02/02 04:17:26 - mmengine - INFO - Epoch(train) [160][ 140/1879] lr: 4.0107e-02 eta: 1 day, 1:50:25 time: 0.5074 data_time: 0.0356 memory: 18108 grad_norm: 3.8778 loss: 3.6305 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0643 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.5661 2023/02/02 04:17:36 - mmengine - INFO - Epoch(train) [160][ 160/1879] lr: 4.0100e-02 eta: 1 day, 1:50:15 time: 0.4967 data_time: 0.0355 memory: 18108 grad_norm: 3.9362 loss: 3.5489 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0506 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.4983 2023/02/02 04:17:46 - mmengine - INFO - Epoch(train) [160][ 180/1879] lr: 4.0093e-02 eta: 1 day, 1:50:04 time: 0.4886 data_time: 0.0332 memory: 18108 grad_norm: 3.9461 loss: 3.6327 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1811 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.4516 2023/02/02 04:17:55 - mmengine - INFO - Epoch(train) [160][ 200/1879] lr: 4.0085e-02 eta: 1 day, 1:49:53 time: 0.4802 data_time: 0.0335 memory: 18108 grad_norm: 3.9424 loss: 3.4463 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.9301 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.5162 2023/02/02 04:18:06 - mmengine - INFO - Epoch(train) [160][ 220/1879] lr: 4.0078e-02 eta: 1 day, 1:49:43 time: 0.5120 data_time: 0.0341 memory: 18108 grad_norm: 3.9615 loss: 3.4752 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9739 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.5013 2023/02/02 04:18:15 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 04:18:16 - mmengine - INFO - Epoch(train) [160][ 240/1879] lr: 4.0071e-02 eta: 1 day, 1:49:33 time: 0.4933 data_time: 0.0400 memory: 18108 grad_norm: 4.0159 loss: 3.6264 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.1040 top1_acc_1: 0.5765 top5_acc_1: 0.7412 loss_cls_1: 1.5224 2023/02/02 04:18:25 - mmengine - INFO - Epoch(train) [160][ 260/1879] lr: 4.0063e-02 eta: 1 day, 1:49:22 time: 0.4893 data_time: 0.0351 memory: 18108 grad_norm: 3.8674 loss: 3.9878 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.4157 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.5721 2023/02/02 04:18:35 - mmengine - INFO - Epoch(train) [160][ 280/1879] lr: 4.0056e-02 eta: 1 day, 1:49:12 time: 0.4907 data_time: 0.0318 memory: 18108 grad_norm: 3.8300 loss: 3.7400 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1532 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.5868 2023/02/02 04:18:45 - mmengine - INFO - Epoch(train) [160][ 300/1879] lr: 4.0048e-02 eta: 1 day, 1:49:02 time: 0.5128 data_time: 0.0414 memory: 18108 grad_norm: 3.9973 loss: 3.5494 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.9815 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.5678 2023/02/02 04:18:55 - mmengine - INFO - Epoch(train) [160][ 320/1879] lr: 4.0041e-02 eta: 1 day, 1:48:51 time: 0.4860 data_time: 0.0340 memory: 18108 grad_norm: 3.9114 loss: 3.7796 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2533 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.5263 2023/02/02 04:19:05 - mmengine - INFO - Epoch(train) [160][ 340/1879] lr: 4.0034e-02 eta: 1 day, 1:48:41 time: 0.4958 data_time: 0.0359 memory: 18108 grad_norm: 3.9332 loss: 3.6248 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.0735 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.5513 2023/02/02 04:19:15 - mmengine - INFO - Epoch(train) [160][ 360/1879] lr: 4.0026e-02 eta: 1 day, 1:48:31 time: 0.5082 data_time: 0.0329 memory: 18108 grad_norm: 3.9208 loss: 3.7723 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1485 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.6238 2023/02/02 04:19:25 - mmengine - INFO - Epoch(train) [160][ 380/1879] lr: 4.0019e-02 eta: 1 day, 1:48:20 time: 0.5063 data_time: 0.0345 memory: 18108 grad_norm: 3.9382 loss: 3.6101 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0515 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.5586 2023/02/02 04:19:35 - mmengine - INFO - Epoch(train) [160][ 400/1879] lr: 4.0011e-02 eta: 1 day, 1:48:10 time: 0.4892 data_time: 0.0348 memory: 18108 grad_norm: 3.8714 loss: 3.8421 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3271 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.5150 2023/02/02 04:19:45 - mmengine - INFO - Epoch(train) [160][ 420/1879] lr: 4.0004e-02 eta: 1 day, 1:47:59 time: 0.4974 data_time: 0.0340 memory: 18108 grad_norm: 3.8945 loss: 3.6309 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1564 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.4745 2023/02/02 04:19:55 - mmengine - INFO - Epoch(train) [160][ 440/1879] lr: 3.9997e-02 eta: 1 day, 1:47:49 time: 0.4972 data_time: 0.0344 memory: 18108 grad_norm: 3.9814 loss: 3.6445 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1866 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.4579 2023/02/02 04:20:05 - mmengine - INFO - Epoch(train) [160][ 460/1879] lr: 3.9989e-02 eta: 1 day, 1:47:39 time: 0.4959 data_time: 0.0407 memory: 18108 grad_norm: 3.9708 loss: 3.8852 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2954 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.5899 2023/02/02 04:20:15 - mmengine - INFO - Epoch(train) [160][ 480/1879] lr: 3.9982e-02 eta: 1 day, 1:47:28 time: 0.4895 data_time: 0.0350 memory: 18108 grad_norm: 4.0129 loss: 3.5381 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.1030 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.4351 2023/02/02 04:20:25 - mmengine - INFO - Epoch(train) [160][ 500/1879] lr: 3.9975e-02 eta: 1 day, 1:47:18 time: 0.5165 data_time: 0.0330 memory: 18108 grad_norm: 3.8843 loss: 3.6731 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1593 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.5139 2023/02/02 04:20:35 - mmengine - INFO - Epoch(train) [160][ 520/1879] lr: 3.9967e-02 eta: 1 day, 1:47:08 time: 0.4907 data_time: 0.0341 memory: 18108 grad_norm: 3.9031 loss: 3.5576 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9409 top1_acc_1: 0.5412 top5_acc_1: 0.8706 loss_cls_1: 1.6167 2023/02/02 04:20:45 - mmengine - INFO - Epoch(train) [160][ 540/1879] lr: 3.9960e-02 eta: 1 day, 1:46:57 time: 0.4910 data_time: 0.0353 memory: 18108 grad_norm: 3.9887 loss: 3.6790 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1377 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.5412 2023/02/02 04:20:55 - mmengine - INFO - Epoch(train) [160][ 560/1879] lr: 3.9952e-02 eta: 1 day, 1:46:47 time: 0.4996 data_time: 0.0340 memory: 18108 grad_norm: 4.0776 loss: 3.7773 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2405 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.5368 2023/02/02 04:21:05 - mmengine - INFO - Epoch(train) [160][ 580/1879] lr: 3.9945e-02 eta: 1 day, 1:46:36 time: 0.5033 data_time: 0.0341 memory: 18108 grad_norm: 3.9831 loss: 4.0637 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4320 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.6317 2023/02/02 04:21:15 - mmengine - INFO - Epoch(train) [160][ 600/1879] lr: 3.9938e-02 eta: 1 day, 1:46:26 time: 0.5029 data_time: 0.0405 memory: 18108 grad_norm: 3.8944 loss: 3.9046 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.3821 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.5225 2023/02/02 04:21:25 - mmengine - INFO - Epoch(train) [160][ 620/1879] lr: 3.9930e-02 eta: 1 day, 1:46:16 time: 0.4966 data_time: 0.0341 memory: 18108 grad_norm: 3.9529 loss: 3.9243 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3351 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.5892 2023/02/02 04:21:35 - mmengine - INFO - Epoch(train) [160][ 640/1879] lr: 3.9923e-02 eta: 1 day, 1:46:05 time: 0.5046 data_time: 0.0339 memory: 18108 grad_norm: 4.0308 loss: 3.5980 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1026 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.4954 2023/02/02 04:21:45 - mmengine - INFO - Epoch(train) [160][ 660/1879] lr: 3.9916e-02 eta: 1 day, 1:45:55 time: 0.5042 data_time: 0.0426 memory: 18108 grad_norm: 3.9517 loss: 3.5914 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.0114 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.5800 2023/02/02 04:21:55 - mmengine - INFO - Epoch(train) [160][ 680/1879] lr: 3.9908e-02 eta: 1 day, 1:45:45 time: 0.5050 data_time: 0.0345 memory: 18108 grad_norm: 3.9283 loss: 3.8223 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.3609 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.4614 2023/02/02 04:22:06 - mmengine - INFO - Epoch(train) [160][ 700/1879] lr: 3.9901e-02 eta: 1 day, 1:45:35 time: 0.5144 data_time: 0.0347 memory: 18108 grad_norm: 3.8294 loss: 3.4289 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8718 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.5571 2023/02/02 04:22:16 - mmengine - INFO - Epoch(train) [160][ 720/1879] lr: 3.9893e-02 eta: 1 day, 1:45:25 time: 0.5203 data_time: 0.0350 memory: 18108 grad_norm: 3.8300 loss: 3.3836 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8200 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.5636 2023/02/02 04:22:26 - mmengine - INFO - Epoch(train) [160][ 740/1879] lr: 3.9886e-02 eta: 1 day, 1:45:14 time: 0.5034 data_time: 0.0415 memory: 18108 grad_norm: 3.9383 loss: 3.8469 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1996 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.6473 2023/02/02 04:22:37 - mmengine - INFO - Epoch(train) [160][ 760/1879] lr: 3.9879e-02 eta: 1 day, 1:45:04 time: 0.5209 data_time: 0.0352 memory: 18108 grad_norm: 3.8934 loss: 3.8542 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3106 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.5436 2023/02/02 04:22:47 - mmengine - INFO - Epoch(train) [160][ 780/1879] lr: 3.9871e-02 eta: 1 day, 1:44:54 time: 0.5152 data_time: 0.0340 memory: 18108 grad_norm: 3.9504 loss: 3.7244 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2701 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.4543 2023/02/02 04:22:57 - mmengine - INFO - Epoch(train) [160][ 800/1879] lr: 3.9864e-02 eta: 1 day, 1:44:44 time: 0.5028 data_time: 0.0347 memory: 18108 grad_norm: 3.9335 loss: 3.7012 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2496 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.4516 2023/02/02 04:23:07 - mmengine - INFO - Epoch(train) [160][ 820/1879] lr: 3.9857e-02 eta: 1 day, 1:44:34 time: 0.5130 data_time: 0.0411 memory: 18108 grad_norm: 3.9068 loss: 3.2709 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.7980 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.4729 2023/02/02 04:23:18 - mmengine - INFO - Epoch(train) [160][ 840/1879] lr: 3.9849e-02 eta: 1 day, 1:44:23 time: 0.5136 data_time: 0.0341 memory: 18108 grad_norm: 3.8757 loss: 3.7424 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1532 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5891 2023/02/02 04:23:28 - mmengine - INFO - Epoch(train) [160][ 860/1879] lr: 3.9842e-02 eta: 1 day, 1:44:13 time: 0.5150 data_time: 0.0356 memory: 18108 grad_norm: 4.0294 loss: 3.8878 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2968 top1_acc_1: 0.8000 top5_acc_1: 0.8941 loss_cls_1: 1.5910 2023/02/02 04:23:38 - mmengine - INFO - Epoch(train) [160][ 880/1879] lr: 3.9834e-02 eta: 1 day, 1:44:03 time: 0.5140 data_time: 0.0348 memory: 18108 grad_norm: 3.9998 loss: 3.8306 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 2.2834 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.5472 2023/02/02 04:23:49 - mmengine - INFO - Epoch(train) [160][ 900/1879] lr: 3.9827e-02 eta: 1 day, 1:43:53 time: 0.5202 data_time: 0.0430 memory: 18108 grad_norm: 3.9631 loss: 3.5516 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0085 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.5430 2023/02/02 04:23:59 - mmengine - INFO - Epoch(train) [160][ 920/1879] lr: 3.9820e-02 eta: 1 day, 1:43:43 time: 0.5105 data_time: 0.0363 memory: 18108 grad_norm: 3.9560 loss: 3.4387 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0406 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.3981 2023/02/02 04:24:09 - mmengine - INFO - Epoch(train) [160][ 940/1879] lr: 3.9812e-02 eta: 1 day, 1:43:32 time: 0.5002 data_time: 0.0343 memory: 18108 grad_norm: 4.0150 loss: 3.6822 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1147 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.5675 2023/02/02 04:24:19 - mmengine - INFO - Epoch(train) [160][ 960/1879] lr: 3.9805e-02 eta: 1 day, 1:43:22 time: 0.5073 data_time: 0.0429 memory: 18108 grad_norm: 3.9778 loss: 3.8775 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3565 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.5210 2023/02/02 04:24:29 - mmengine - INFO - Epoch(train) [160][ 980/1879] lr: 3.9798e-02 eta: 1 day, 1:43:12 time: 0.5029 data_time: 0.0359 memory: 18108 grad_norm: 4.1539 loss: 3.7568 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.2222 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.5346 2023/02/02 04:24:39 - mmengine - INFO - Epoch(train) [160][1000/1879] lr: 3.9790e-02 eta: 1 day, 1:43:02 time: 0.5087 data_time: 0.0341 memory: 18108 grad_norm: 3.9880 loss: 3.5839 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0255 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.5585 2023/02/02 04:24:50 - mmengine - INFO - Epoch(train) [160][1020/1879] lr: 3.9783e-02 eta: 1 day, 1:42:51 time: 0.5133 data_time: 0.0342 memory: 18108 grad_norm: 3.9885 loss: 3.7681 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.1642 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.6039 2023/02/02 04:24:59 - mmengine - INFO - Epoch(train) [160][1040/1879] lr: 3.9775e-02 eta: 1 day, 1:42:41 time: 0.4895 data_time: 0.0401 memory: 18108 grad_norm: 4.0409 loss: 3.7325 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2254 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.5071 2023/02/02 04:25:09 - mmengine - INFO - Epoch(train) [160][1060/1879] lr: 3.9768e-02 eta: 1 day, 1:42:31 time: 0.4987 data_time: 0.0353 memory: 18108 grad_norm: 4.0107 loss: 3.6899 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1486 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.5413 2023/02/02 04:25:19 - mmengine - INFO - Epoch(train) [160][1080/1879] lr: 3.9761e-02 eta: 1 day, 1:42:20 time: 0.4971 data_time: 0.0358 memory: 18108 grad_norm: 3.9237 loss: 3.6057 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0794 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.5263 2023/02/02 04:25:30 - mmengine - INFO - Epoch(train) [160][1100/1879] lr: 3.9753e-02 eta: 1 day, 1:42:10 time: 0.5151 data_time: 0.0339 memory: 18108 grad_norm: 3.9138 loss: 3.6389 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.0629 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5760 2023/02/02 04:25:40 - mmengine - INFO - Epoch(train) [160][1120/1879] lr: 3.9746e-02 eta: 1 day, 1:42:00 time: 0.5043 data_time: 0.0350 memory: 18108 grad_norm: 3.8635 loss: 3.9547 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.4139 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.5408 2023/02/02 04:25:50 - mmengine - INFO - Epoch(train) [160][1140/1879] lr: 3.9739e-02 eta: 1 day, 1:41:49 time: 0.5082 data_time: 0.0370 memory: 18108 grad_norm: 4.0455 loss: 3.6713 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0560 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.6153 2023/02/02 04:26:00 - mmengine - INFO - Epoch(train) [160][1160/1879] lr: 3.9731e-02 eta: 1 day, 1:41:39 time: 0.5026 data_time: 0.0356 memory: 18108 grad_norm: 3.9477 loss: 3.6619 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1669 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.4950 2023/02/02 04:26:10 - mmengine - INFO - Epoch(train) [160][1180/1879] lr: 3.9724e-02 eta: 1 day, 1:41:29 time: 0.5109 data_time: 0.0352 memory: 18108 grad_norm: 3.8836 loss: 3.6570 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1082 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.5488 2023/02/02 04:26:20 - mmengine - INFO - Epoch(train) [160][1200/1879] lr: 3.9716e-02 eta: 1 day, 1:41:19 time: 0.5017 data_time: 0.0427 memory: 18108 grad_norm: 3.8671 loss: 3.7188 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1423 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 1.5765 2023/02/02 04:26:31 - mmengine - INFO - Epoch(train) [160][1220/1879] lr: 3.9709e-02 eta: 1 day, 1:41:08 time: 0.5134 data_time: 0.0360 memory: 18108 grad_norm: 3.9536 loss: 3.8425 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2201 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.6224 2023/02/02 04:26:40 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 04:26:41 - mmengine - INFO - Epoch(train) [160][1240/1879] lr: 3.9702e-02 eta: 1 day, 1:40:58 time: 0.4978 data_time: 0.0358 memory: 18108 grad_norm: 3.9905 loss: 3.8676 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2877 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.5800 2023/02/02 04:26:51 - mmengine - INFO - Epoch(train) [160][1260/1879] lr: 3.9694e-02 eta: 1 day, 1:40:48 time: 0.4964 data_time: 0.0367 memory: 18108 grad_norm: 3.9480 loss: 3.9658 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3754 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.5904 2023/02/02 04:27:01 - mmengine - INFO - Epoch(train) [160][1280/1879] lr: 3.9687e-02 eta: 1 day, 1:40:38 time: 0.5144 data_time: 0.0417 memory: 18108 grad_norm: 3.9007 loss: 3.9143 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.2693 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.6450 2023/02/02 04:27:11 - mmengine - INFO - Epoch(train) [160][1300/1879] lr: 3.9680e-02 eta: 1 day, 1:40:27 time: 0.5245 data_time: 0.0332 memory: 18108 grad_norm: 3.8716 loss: 3.7144 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 2.1724 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.5419 2023/02/02 04:27:22 - mmengine - INFO - Epoch(train) [160][1320/1879] lr: 3.9672e-02 eta: 1 day, 1:40:17 time: 0.5060 data_time: 0.0331 memory: 18108 grad_norm: 4.0064 loss: 3.7263 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2177 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.5086 2023/02/02 04:27:32 - mmengine - INFO - Epoch(train) [160][1340/1879] lr: 3.9665e-02 eta: 1 day, 1:40:07 time: 0.5185 data_time: 0.0355 memory: 18108 grad_norm: 3.9483 loss: 3.7635 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1728 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.5907 2023/02/02 04:27:42 - mmengine - INFO - Epoch(train) [160][1360/1879] lr: 3.9658e-02 eta: 1 day, 1:39:57 time: 0.5253 data_time: 0.0401 memory: 18108 grad_norm: 4.0081 loss: 3.5746 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0244 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.5501 2023/02/02 04:27:53 - mmengine - INFO - Epoch(train) [160][1380/1879] lr: 3.9650e-02 eta: 1 day, 1:39:47 time: 0.5066 data_time: 0.0344 memory: 18108 grad_norm: 4.0392 loss: 3.7615 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1690 top1_acc_1: 0.6000 top5_acc_1: 0.7294 loss_cls_1: 1.5925 2023/02/02 04:28:03 - mmengine - INFO - Epoch(train) [160][1400/1879] lr: 3.9643e-02 eta: 1 day, 1:39:37 time: 0.5117 data_time: 0.0351 memory: 18108 grad_norm: 3.9782 loss: 3.8602 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2322 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.6281 2023/02/02 04:28:13 - mmengine - INFO - Epoch(train) [160][1420/1879] lr: 3.9635e-02 eta: 1 day, 1:39:26 time: 0.5222 data_time: 0.0414 memory: 18108 grad_norm: 3.9178 loss: 3.7008 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0483 top1_acc_1: 0.6118 top5_acc_1: 0.8941 loss_cls_1: 1.6526 2023/02/02 04:28:23 - mmengine - INFO - Epoch(train) [160][1440/1879] lr: 3.9628e-02 eta: 1 day, 1:39:16 time: 0.5087 data_time: 0.0341 memory: 18108 grad_norm: 3.9305 loss: 3.8870 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2976 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.5894 2023/02/02 04:28:34 - mmengine - INFO - Epoch(train) [160][1460/1879] lr: 3.9621e-02 eta: 1 day, 1:39:06 time: 0.5030 data_time: 0.0374 memory: 18108 grad_norm: 3.8593 loss: 3.8709 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2113 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.6596 2023/02/02 04:28:44 - mmengine - INFO - Epoch(train) [160][1480/1879] lr: 3.9613e-02 eta: 1 day, 1:38:56 time: 0.5128 data_time: 0.0337 memory: 18108 grad_norm: 3.9043 loss: 3.4282 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9713 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.4569 2023/02/02 04:28:54 - mmengine - INFO - Epoch(train) [160][1500/1879] lr: 3.9606e-02 eta: 1 day, 1:38:46 time: 0.5196 data_time: 0.0404 memory: 18108 grad_norm: 3.9714 loss: 3.7789 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2427 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.5362 2023/02/02 04:29:05 - mmengine - INFO - Epoch(train) [160][1520/1879] lr: 3.9599e-02 eta: 1 day, 1:38:35 time: 0.5149 data_time: 0.0320 memory: 18108 grad_norm: 3.9589 loss: 3.6572 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1157 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.5415 2023/02/02 04:29:15 - mmengine - INFO - Epoch(train) [160][1540/1879] lr: 3.9591e-02 eta: 1 day, 1:38:25 time: 0.5126 data_time: 0.0353 memory: 18108 grad_norm: 3.9443 loss: 3.4917 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.9582 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.5336 2023/02/02 04:29:25 - mmengine - INFO - Epoch(train) [160][1560/1879] lr: 3.9584e-02 eta: 1 day, 1:38:15 time: 0.5225 data_time: 0.0325 memory: 18108 grad_norm: 3.9225 loss: 3.7487 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2074 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 1.5413 2023/02/02 04:29:36 - mmengine - INFO - Epoch(train) [160][1580/1879] lr: 3.9576e-02 eta: 1 day, 1:38:05 time: 0.5116 data_time: 0.0339 memory: 18108 grad_norm: 4.0500 loss: 3.6347 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1477 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.4869 2023/02/02 04:29:46 - mmengine - INFO - Epoch(train) [160][1600/1879] lr: 3.9569e-02 eta: 1 day, 1:37:55 time: 0.5030 data_time: 0.0332 memory: 18108 grad_norm: 3.9970 loss: 3.9041 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3261 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.5780 2023/02/02 04:29:56 - mmengine - INFO - Epoch(train) [160][1620/1879] lr: 3.9562e-02 eta: 1 day, 1:37:45 time: 0.5213 data_time: 0.0324 memory: 18108 grad_norm: 3.9726 loss: 3.7326 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2613 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.4714 2023/02/02 04:30:06 - mmengine - INFO - Epoch(train) [160][1640/1879] lr: 3.9554e-02 eta: 1 day, 1:37:34 time: 0.5112 data_time: 0.0335 memory: 18108 grad_norm: 3.9969 loss: 3.7990 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2202 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.5788 2023/02/02 04:30:17 - mmengine - INFO - Epoch(train) [160][1660/1879] lr: 3.9547e-02 eta: 1 day, 1:37:24 time: 0.5127 data_time: 0.0415 memory: 18108 grad_norm: 3.9771 loss: 3.7875 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2533 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.5341 2023/02/02 04:30:27 - mmengine - INFO - Epoch(train) [160][1680/1879] lr: 3.9540e-02 eta: 1 day, 1:37:14 time: 0.5171 data_time: 0.0348 memory: 18108 grad_norm: 3.9000 loss: 3.4809 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.9480 top1_acc_1: 0.5647 top5_acc_1: 0.8706 loss_cls_1: 1.5330 2023/02/02 04:30:37 - mmengine - INFO - Epoch(train) [160][1700/1879] lr: 3.9532e-02 eta: 1 day, 1:37:04 time: 0.5117 data_time: 0.0336 memory: 18108 grad_norm: 3.9281 loss: 3.8289 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2992 top1_acc_1: 0.5176 top5_acc_1: 0.8353 loss_cls_1: 1.5296 2023/02/02 04:30:47 - mmengine - INFO - Epoch(train) [160][1720/1879] lr: 3.9525e-02 eta: 1 day, 1:36:54 time: 0.5072 data_time: 0.0331 memory: 18108 grad_norm: 3.8875 loss: 3.8296 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.2465 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.5831 2023/02/02 04:30:58 - mmengine - INFO - Epoch(train) [160][1740/1879] lr: 3.9518e-02 eta: 1 day, 1:36:43 time: 0.5189 data_time: 0.0407 memory: 18108 grad_norm: 3.8802 loss: 3.6380 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.0896 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.5484 2023/02/02 04:31:08 - mmengine - INFO - Epoch(train) [160][1760/1879] lr: 3.9510e-02 eta: 1 day, 1:36:33 time: 0.5084 data_time: 0.0329 memory: 18108 grad_norm: 4.0150 loss: 3.7832 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2025 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.5807 2023/02/02 04:31:18 - mmengine - INFO - Epoch(train) [160][1780/1879] lr: 3.9503e-02 eta: 1 day, 1:36:23 time: 0.5196 data_time: 0.0346 memory: 18108 grad_norm: 4.0490 loss: 3.8993 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3673 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.5320 2023/02/02 04:31:30 - mmengine - INFO - Epoch(train) [160][1800/1879] lr: 3.9495e-02 eta: 1 day, 1:36:14 time: 0.5892 data_time: 0.0837 memory: 18108 grad_norm: 4.0142 loss: 3.9246 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3416 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.5831 2023/02/02 04:31:41 - mmengine - INFO - Epoch(train) [160][1820/1879] lr: 3.9488e-02 eta: 1 day, 1:36:04 time: 0.5361 data_time: 0.0397 memory: 18108 grad_norm: 3.9253 loss: 3.6528 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0994 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.5534 2023/02/02 04:31:51 - mmengine - INFO - Epoch(train) [160][1840/1879] lr: 3.9481e-02 eta: 1 day, 1:35:54 time: 0.5177 data_time: 0.0318 memory: 18108 grad_norm: 3.9277 loss: 3.7147 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.1284 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.5864 2023/02/02 04:32:02 - mmengine - INFO - Epoch(train) [160][1860/1879] lr: 3.9473e-02 eta: 1 day, 1:35:44 time: 0.5201 data_time: 0.0340 memory: 18108 grad_norm: 3.9246 loss: 3.6478 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0933 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.5544 2023/02/02 04:32:11 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 04:32:11 - mmengine - INFO - Epoch(train) [160][1879/1879] lr: 3.9466e-02 eta: 1 day, 1:35:34 time: 0.5049 data_time: 0.0300 memory: 18108 grad_norm: 3.9641 loss: 3.5250 top1_acc_0: 0.4286 top5_acc_0: 1.0000 loss_cls_0: 2.0228 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.5022 2023/02/02 04:32:12 - mmengine - INFO - Saving checkpoint at 160 epochs 2023/02/02 04:32:23 - mmengine - INFO - Epoch(val) [160][ 20/155] eta: 0:01:01 time: 0.4573 data_time: 0.3448 memory: 1906 2023/02/02 04:32:32 - mmengine - INFO - Epoch(val) [160][ 40/155] eta: 0:00:51 time: 0.4418 data_time: 0.3310 memory: 1906 2023/02/02 04:32:40 - mmengine - INFO - Epoch(val) [160][ 60/155] eta: 0:00:42 time: 0.4316 data_time: 0.3202 memory: 1906 2023/02/02 04:32:49 - mmengine - INFO - Epoch(val) [160][ 80/155] eta: 0:00:33 time: 0.4599 data_time: 0.3495 memory: 1906 2023/02/02 04:32:58 - mmengine - INFO - Epoch(val) [160][100/155] eta: 0:00:24 time: 0.4486 data_time: 0.3386 memory: 1906 2023/02/02 04:33:07 - mmengine - INFO - Epoch(val) [160][120/155] eta: 0:00:15 time: 0.4485 data_time: 0.3384 memory: 1906 2023/02/02 04:33:16 - mmengine - INFO - Epoch(val) [160][140/155] eta: 0:00:06 time: 0.4393 data_time: 0.3291 memory: 1906 2023/02/02 04:33:24 - mmengine - INFO - Epoch(val) [160][155/155] acc/top1: 0.5625 acc/top5: 0.7981 acc/mean1: 0.5622 2023/02/02 04:33:24 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_156.pth is removed 2023/02/02 04:33:26 - mmengine - INFO - The best checkpoint with 0.5625 acc/top1 at 160 epoch is saved to best_acc/top1_epoch_160.pth. 2023/02/02 04:33:40 - mmengine - INFO - Epoch(train) [161][ 20/1879] lr: 3.9459e-02 eta: 1 day, 1:35:26 time: 0.6988 data_time: 0.2324 memory: 18108 grad_norm: 3.8574 loss: 3.5258 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.9404 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.5854 2023/02/02 04:33:49 - mmengine - INFO - Epoch(train) [161][ 40/1879] lr: 3.9452e-02 eta: 1 day, 1:35:15 time: 0.4874 data_time: 0.0346 memory: 18108 grad_norm: 3.8835 loss: 3.4586 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 1.9753 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.4833 2023/02/02 04:34:00 - mmengine - INFO - Epoch(train) [161][ 60/1879] lr: 3.9444e-02 eta: 1 day, 1:35:05 time: 0.5247 data_time: 0.0325 memory: 18108 grad_norm: 3.9509 loss: 3.6300 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.0648 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.5652 2023/02/02 04:34:10 - mmengine - INFO - Epoch(train) [161][ 80/1879] lr: 3.9437e-02 eta: 1 day, 1:34:55 time: 0.5307 data_time: 0.0580 memory: 18108 grad_norm: 3.8679 loss: 3.5943 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1456 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.4487 2023/02/02 04:34:21 - mmengine - INFO - Epoch(train) [161][ 100/1879] lr: 3.9430e-02 eta: 1 day, 1:34:45 time: 0.5065 data_time: 0.0321 memory: 18108 grad_norm: 3.9251 loss: 3.5251 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0420 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.4831 2023/02/02 04:34:30 - mmengine - INFO - Epoch(train) [161][ 120/1879] lr: 3.9422e-02 eta: 1 day, 1:34:35 time: 0.4922 data_time: 0.0361 memory: 18108 grad_norm: 3.9437 loss: 3.7876 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3064 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.4811 2023/02/02 04:34:41 - mmengine - INFO - Epoch(train) [161][ 140/1879] lr: 3.9415e-02 eta: 1 day, 1:34:25 time: 0.5373 data_time: 0.0390 memory: 18108 grad_norm: 3.9569 loss: 3.3882 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9776 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.4106 2023/02/02 04:34:51 - mmengine - INFO - Epoch(train) [161][ 160/1879] lr: 3.9408e-02 eta: 1 day, 1:34:14 time: 0.5025 data_time: 0.0366 memory: 18108 grad_norm: 3.8691 loss: 3.5708 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.0665 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.5043 2023/02/02 04:35:01 - mmengine - INFO - Epoch(train) [161][ 180/1879] lr: 3.9400e-02 eta: 1 day, 1:34:04 time: 0.5062 data_time: 0.0330 memory: 18108 grad_norm: 3.9155 loss: 3.6819 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1019 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.5799 2023/02/02 04:35:11 - mmengine - INFO - Epoch(train) [161][ 200/1879] lr: 3.9393e-02 eta: 1 day, 1:33:54 time: 0.5012 data_time: 0.0357 memory: 18108 grad_norm: 4.0716 loss: 3.8532 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2401 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.6131 2023/02/02 04:35:22 - mmengine - INFO - Epoch(train) [161][ 220/1879] lr: 3.9385e-02 eta: 1 day, 1:33:44 time: 0.5131 data_time: 0.0430 memory: 18108 grad_norm: 3.9244 loss: 3.5797 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0951 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.4846 2023/02/02 04:35:32 - mmengine - INFO - Epoch(train) [161][ 240/1879] lr: 3.9378e-02 eta: 1 day, 1:33:33 time: 0.4968 data_time: 0.0388 memory: 18108 grad_norm: 3.9494 loss: 3.5854 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0665 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.5190 2023/02/02 04:35:42 - mmengine - INFO - Epoch(train) [161][ 260/1879] lr: 3.9371e-02 eta: 1 day, 1:33:23 time: 0.5220 data_time: 0.0310 memory: 18108 grad_norm: 4.0304 loss: 3.6009 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.1674 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.4334 2023/02/02 04:35:52 - mmengine - INFO - Epoch(train) [161][ 280/1879] lr: 3.9363e-02 eta: 1 day, 1:33:13 time: 0.5106 data_time: 0.0551 memory: 18108 grad_norm: 3.9859 loss: 3.9593 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.4376 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5218 2023/02/02 04:36:03 - mmengine - INFO - Epoch(train) [161][ 300/1879] lr: 3.9356e-02 eta: 1 day, 1:33:03 time: 0.5172 data_time: 0.0317 memory: 18108 grad_norm: 3.9267 loss: 3.6536 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0729 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.5806 2023/02/02 04:36:13 - mmengine - INFO - Epoch(train) [161][ 320/1879] lr: 3.9349e-02 eta: 1 day, 1:32:53 time: 0.5073 data_time: 0.0391 memory: 18108 grad_norm: 3.9143 loss: 3.5602 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0527 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.5076 2023/02/02 04:36:23 - mmengine - INFO - Epoch(train) [161][ 340/1879] lr: 3.9341e-02 eta: 1 day, 1:32:42 time: 0.5172 data_time: 0.0306 memory: 18108 grad_norm: 3.9553 loss: 3.6713 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.1758 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.4954 2023/02/02 04:36:33 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 04:36:33 - mmengine - INFO - Epoch(train) [161][ 360/1879] lr: 3.9334e-02 eta: 1 day, 1:32:32 time: 0.5028 data_time: 0.0382 memory: 18108 grad_norm: 3.9199 loss: 3.8126 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3903 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.4224 2023/02/02 04:36:44 - mmengine - INFO - Epoch(train) [161][ 380/1879] lr: 3.9327e-02 eta: 1 day, 1:32:22 time: 0.5295 data_time: 0.0303 memory: 18108 grad_norm: 3.9419 loss: 3.6722 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.1690 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.5031 2023/02/02 04:36:54 - mmengine - INFO - Epoch(train) [161][ 400/1879] lr: 3.9319e-02 eta: 1 day, 1:32:12 time: 0.5069 data_time: 0.0373 memory: 18108 grad_norm: 3.9888 loss: 3.6224 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.1321 top1_acc_1: 0.7059 top5_acc_1: 0.8118 loss_cls_1: 1.4902 2023/02/02 04:37:04 - mmengine - INFO - Epoch(train) [161][ 420/1879] lr: 3.9312e-02 eta: 1 day, 1:32:02 time: 0.5124 data_time: 0.0408 memory: 18108 grad_norm: 3.8795 loss: 3.6305 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0536 top1_acc_1: 0.6471 top5_acc_1: 0.9294 loss_cls_1: 1.5769 2023/02/02 04:37:15 - mmengine - INFO - Epoch(train) [161][ 440/1879] lr: 3.9304e-02 eta: 1 day, 1:31:52 time: 0.5129 data_time: 0.0389 memory: 18108 grad_norm: 3.9822 loss: 3.5936 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.0686 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.5250 2023/02/02 04:37:25 - mmengine - INFO - Epoch(train) [161][ 460/1879] lr: 3.9297e-02 eta: 1 day, 1:31:41 time: 0.5221 data_time: 0.0289 memory: 18108 grad_norm: 4.0479 loss: 3.8009 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.1907 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.6102 2023/02/02 04:37:35 - mmengine - INFO - Epoch(train) [161][ 480/1879] lr: 3.9290e-02 eta: 1 day, 1:31:31 time: 0.5008 data_time: 0.0473 memory: 18108 grad_norm: 3.9395 loss: 3.6639 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.1415 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.5224 2023/02/02 04:37:46 - mmengine - INFO - Epoch(train) [161][ 500/1879] lr: 3.9282e-02 eta: 1 day, 1:31:21 time: 0.5196 data_time: 0.0312 memory: 18108 grad_norm: 3.9379 loss: 3.5713 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2011 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.3702 2023/02/02 04:37:56 - mmengine - INFO - Epoch(train) [161][ 520/1879] lr: 3.9275e-02 eta: 1 day, 1:31:11 time: 0.5150 data_time: 0.0357 memory: 18108 grad_norm: 3.9547 loss: 3.7641 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1617 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.6024 2023/02/02 04:38:06 - mmengine - INFO - Epoch(train) [161][ 540/1879] lr: 3.9268e-02 eta: 1 day, 1:31:01 time: 0.5076 data_time: 0.0318 memory: 18108 grad_norm: 3.8919 loss: 3.8206 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2446 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.5761 2023/02/02 04:38:16 - mmengine - INFO - Epoch(train) [161][ 560/1879] lr: 3.9260e-02 eta: 1 day, 1:30:50 time: 0.5092 data_time: 0.0529 memory: 18108 grad_norm: 4.0016 loss: 3.6715 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.1137 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.5578 2023/02/02 04:38:27 - mmengine - INFO - Epoch(train) [161][ 580/1879] lr: 3.9253e-02 eta: 1 day, 1:30:40 time: 0.5308 data_time: 0.0300 memory: 18108 grad_norm: 3.9931 loss: 3.8840 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3194 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.5646 2023/02/02 04:38:37 - mmengine - INFO - Epoch(train) [161][ 600/1879] lr: 3.9246e-02 eta: 1 day, 1:30:30 time: 0.5112 data_time: 0.0363 memory: 18108 grad_norm: 3.9318 loss: 3.6555 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.1192 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.5362 2023/02/02 04:38:47 - mmengine - INFO - Epoch(train) [161][ 620/1879] lr: 3.9238e-02 eta: 1 day, 1:30:20 time: 0.5109 data_time: 0.0402 memory: 18108 grad_norm: 3.9859 loss: 3.7185 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2474 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.4711 2023/02/02 04:38:58 - mmengine - INFO - Epoch(train) [161][ 640/1879] lr: 3.9231e-02 eta: 1 day, 1:30:10 time: 0.5112 data_time: 0.0371 memory: 18108 grad_norm: 4.0177 loss: 3.6664 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.2249 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.4415 2023/02/02 04:39:08 - mmengine - INFO - Epoch(train) [161][ 660/1879] lr: 3.9224e-02 eta: 1 day, 1:30:00 time: 0.5116 data_time: 0.0310 memory: 18108 grad_norm: 3.9670 loss: 3.4964 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9967 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.4997 2023/02/02 04:39:18 - mmengine - INFO - Epoch(train) [161][ 680/1879] lr: 3.9216e-02 eta: 1 day, 1:29:49 time: 0.5089 data_time: 0.0491 memory: 18108 grad_norm: 4.0407 loss: 3.8513 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2414 top1_acc_1: 0.6706 top5_acc_1: 0.7765 loss_cls_1: 1.6100 2023/02/02 04:39:28 - mmengine - INFO - Epoch(train) [161][ 700/1879] lr: 3.9209e-02 eta: 1 day, 1:29:39 time: 0.5021 data_time: 0.0291 memory: 18108 grad_norm: 3.9659 loss: 3.6278 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0678 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.5599 2023/02/02 04:39:39 - mmengine - INFO - Epoch(train) [161][ 720/1879] lr: 3.9202e-02 eta: 1 day, 1:29:29 time: 0.5169 data_time: 0.0369 memory: 18108 grad_norm: 4.0397 loss: 3.5975 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.0694 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.5282 2023/02/02 04:39:49 - mmengine - INFO - Epoch(train) [161][ 740/1879] lr: 3.9194e-02 eta: 1 day, 1:29:19 time: 0.5050 data_time: 0.0313 memory: 18108 grad_norm: 3.9157 loss: 3.3911 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8166 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.5745 2023/02/02 04:39:59 - mmengine - INFO - Epoch(train) [161][ 760/1879] lr: 3.9187e-02 eta: 1 day, 1:29:08 time: 0.5044 data_time: 0.0425 memory: 18108 grad_norm: 3.9872 loss: 3.7298 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2115 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.5184 2023/02/02 04:40:09 - mmengine - INFO - Epoch(train) [161][ 780/1879] lr: 3.9179e-02 eta: 1 day, 1:28:58 time: 0.5167 data_time: 0.0298 memory: 18108 grad_norm: 3.9536 loss: 3.7965 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.2309 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.5656 2023/02/02 04:40:19 - mmengine - INFO - Epoch(train) [161][ 800/1879] lr: 3.9172e-02 eta: 1 day, 1:28:48 time: 0.5032 data_time: 0.0374 memory: 18108 grad_norm: 3.9453 loss: 3.7490 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2269 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.5221 2023/02/02 04:40:29 - mmengine - INFO - Epoch(train) [161][ 820/1879] lr: 3.9165e-02 eta: 1 day, 1:28:37 time: 0.5022 data_time: 0.0293 memory: 18108 grad_norm: 3.9729 loss: 3.6719 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.0931 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.5788 2023/02/02 04:40:40 - mmengine - INFO - Epoch(train) [161][ 840/1879] lr: 3.9157e-02 eta: 1 day, 1:28:27 time: 0.5141 data_time: 0.0371 memory: 18108 grad_norm: 3.9921 loss: 3.8380 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2569 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.5811 2023/02/02 04:40:50 - mmengine - INFO - Epoch(train) [161][ 860/1879] lr: 3.9150e-02 eta: 1 day, 1:28:17 time: 0.5168 data_time: 0.0297 memory: 18108 grad_norm: 3.9716 loss: 3.8181 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2312 top1_acc_1: 0.5176 top5_acc_1: 0.8118 loss_cls_1: 1.5869 2023/02/02 04:41:00 - mmengine - INFO - Epoch(train) [161][ 880/1879] lr: 3.9143e-02 eta: 1 day, 1:28:07 time: 0.4960 data_time: 0.0372 memory: 18108 grad_norm: 3.9057 loss: 3.4590 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 1.9382 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.5208 2023/02/02 04:41:10 - mmengine - INFO - Epoch(train) [161][ 900/1879] lr: 3.9135e-02 eta: 1 day, 1:27:57 time: 0.5143 data_time: 0.0381 memory: 18108 grad_norm: 3.9911 loss: 3.7379 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1884 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.5495 2023/02/02 04:41:20 - mmengine - INFO - Epoch(train) [161][ 920/1879] lr: 3.9128e-02 eta: 1 day, 1:27:46 time: 0.5086 data_time: 0.0373 memory: 18108 grad_norm: 3.9472 loss: 3.2913 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8218 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.4695 2023/02/02 04:41:31 - mmengine - INFO - Epoch(train) [161][ 940/1879] lr: 3.9121e-02 eta: 1 day, 1:27:36 time: 0.5183 data_time: 0.0306 memory: 18108 grad_norm: 3.9958 loss: 3.7149 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1639 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.5509 2023/02/02 04:41:41 - mmengine - INFO - Epoch(train) [161][ 960/1879] lr: 3.9113e-02 eta: 1 day, 1:27:26 time: 0.4971 data_time: 0.0441 memory: 18108 grad_norm: 3.9262 loss: 3.7003 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.1041 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.5961 2023/02/02 04:41:51 - mmengine - INFO - Epoch(train) [161][ 980/1879] lr: 3.9106e-02 eta: 1 day, 1:27:16 time: 0.5284 data_time: 0.0306 memory: 18108 grad_norm: 3.9878 loss: 3.9833 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4119 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.5714 2023/02/02 04:42:02 - mmengine - INFO - Epoch(train) [161][1000/1879] lr: 3.9099e-02 eta: 1 day, 1:27:06 time: 0.5170 data_time: 0.0380 memory: 18108 grad_norm: 3.9322 loss: 3.9098 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2584 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.6514 2023/02/02 04:42:12 - mmengine - INFO - Epoch(train) [161][1020/1879] lr: 3.9091e-02 eta: 1 day, 1:26:56 time: 0.5136 data_time: 0.0299 memory: 18108 grad_norm: 4.0142 loss: 3.7151 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2302 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.4849 2023/02/02 04:42:23 - mmengine - INFO - Epoch(train) [161][1040/1879] lr: 3.9084e-02 eta: 1 day, 1:26:46 time: 0.5302 data_time: 0.0380 memory: 18108 grad_norm: 4.0325 loss: 3.8681 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3010 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.5671 2023/02/02 04:42:33 - mmengine - INFO - Epoch(train) [161][1060/1879] lr: 3.9077e-02 eta: 1 day, 1:26:35 time: 0.5134 data_time: 0.0303 memory: 18108 grad_norm: 3.9630 loss: 3.6979 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2009 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.4970 2023/02/02 04:42:43 - mmengine - INFO - Epoch(train) [161][1080/1879] lr: 3.9069e-02 eta: 1 day, 1:26:25 time: 0.5111 data_time: 0.0373 memory: 18108 grad_norm: 3.9532 loss: 3.8141 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3536 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.4605 2023/02/02 04:42:54 - mmengine - INFO - Epoch(train) [161][1100/1879] lr: 3.9062e-02 eta: 1 day, 1:26:15 time: 0.5228 data_time: 0.0370 memory: 18108 grad_norm: 3.9024 loss: 3.8131 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3128 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.5002 2023/02/02 04:43:04 - mmengine - INFO - Epoch(train) [161][1120/1879] lr: 3.9054e-02 eta: 1 day, 1:26:05 time: 0.5118 data_time: 0.0382 memory: 18108 grad_norm: 3.9866 loss: 3.6014 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1401 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.4614 2023/02/02 04:43:14 - mmengine - INFO - Epoch(train) [161][1140/1879] lr: 3.9047e-02 eta: 1 day, 1:25:55 time: 0.5214 data_time: 0.0310 memory: 18108 grad_norm: 3.9415 loss: 3.8079 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.2041 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.6038 2023/02/02 04:43:25 - mmengine - INFO - Epoch(train) [161][1160/1879] lr: 3.9040e-02 eta: 1 day, 1:25:45 time: 0.5225 data_time: 0.0439 memory: 18108 grad_norm: 3.9907 loss: 3.6226 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1566 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.4661 2023/02/02 04:43:35 - mmengine - INFO - Epoch(train) [161][1180/1879] lr: 3.9032e-02 eta: 1 day, 1:25:34 time: 0.5108 data_time: 0.0314 memory: 18108 grad_norm: 3.9473 loss: 3.5193 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.9174 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6019 2023/02/02 04:43:45 - mmengine - INFO - Epoch(train) [161][1200/1879] lr: 3.9025e-02 eta: 1 day, 1:25:24 time: 0.5152 data_time: 0.0389 memory: 18108 grad_norm: 3.9558 loss: 3.5513 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0673 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.4840 2023/02/02 04:43:55 - mmengine - INFO - Epoch(train) [161][1220/1879] lr: 3.9018e-02 eta: 1 day, 1:25:14 time: 0.5059 data_time: 0.0299 memory: 18108 grad_norm: 3.9139 loss: 3.5989 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0167 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.5822 2023/02/02 04:44:06 - mmengine - INFO - Epoch(train) [161][1240/1879] lr: 3.9010e-02 eta: 1 day, 1:25:04 time: 0.5144 data_time: 0.0448 memory: 18108 grad_norm: 3.9334 loss: 3.8121 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2001 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.6119 2023/02/02 04:44:16 - mmengine - INFO - Epoch(train) [161][1260/1879] lr: 3.9003e-02 eta: 1 day, 1:24:54 time: 0.5013 data_time: 0.0302 memory: 18108 grad_norm: 3.9629 loss: 3.5042 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.0452 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.4590 2023/02/02 04:44:26 - mmengine - INFO - Epoch(train) [161][1280/1879] lr: 3.8996e-02 eta: 1 day, 1:24:43 time: 0.5087 data_time: 0.0375 memory: 18108 grad_norm: 4.0002 loss: 3.4543 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8950 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.5592 2023/02/02 04:44:36 - mmengine - INFO - Epoch(train) [161][1300/1879] lr: 3.8988e-02 eta: 1 day, 1:24:33 time: 0.5132 data_time: 0.0293 memory: 18108 grad_norm: 3.9834 loss: 3.5583 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 1.9585 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.5998 2023/02/02 04:44:47 - mmengine - INFO - Epoch(train) [161][1320/1879] lr: 3.8981e-02 eta: 1 day, 1:24:23 time: 0.5207 data_time: 0.0413 memory: 18108 grad_norm: 4.0048 loss: 3.7707 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.1439 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.6268 2023/02/02 04:44:57 - mmengine - INFO - Epoch(train) [161][1340/1879] lr: 3.8974e-02 eta: 1 day, 1:24:13 time: 0.4944 data_time: 0.0303 memory: 18108 grad_norm: 3.9507 loss: 3.7032 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1613 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.5419 2023/02/02 04:45:07 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 04:45:07 - mmengine - INFO - Epoch(train) [161][1360/1879] lr: 3.8966e-02 eta: 1 day, 1:24:02 time: 0.5198 data_time: 0.0448 memory: 18108 grad_norm: 4.0579 loss: 3.5332 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.9706 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.5626 2023/02/02 04:45:17 - mmengine - INFO - Epoch(train) [161][1380/1879] lr: 3.8959e-02 eta: 1 day, 1:23:52 time: 0.5064 data_time: 0.0295 memory: 18108 grad_norm: 4.0398 loss: 3.7815 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.2662 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.5153 2023/02/02 04:45:27 - mmengine - INFO - Epoch(train) [161][1400/1879] lr: 3.8952e-02 eta: 1 day, 1:23:42 time: 0.4968 data_time: 0.0385 memory: 18108 grad_norm: 3.9538 loss: 3.7906 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2764 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.5143 2023/02/02 04:45:37 - mmengine - INFO - Epoch(train) [161][1420/1879] lr: 3.8944e-02 eta: 1 day, 1:23:32 time: 0.5186 data_time: 0.0289 memory: 18108 grad_norm: 4.0615 loss: 3.5559 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.0316 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.5243 2023/02/02 04:45:48 - mmengine - INFO - Epoch(train) [161][1440/1879] lr: 3.8937e-02 eta: 1 day, 1:23:22 time: 0.5244 data_time: 0.0445 memory: 18108 grad_norm: 4.0201 loss: 3.5411 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.0555 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.4857 2023/02/02 04:45:59 - mmengine - INFO - Epoch(train) [161][1460/1879] lr: 3.8930e-02 eta: 1 day, 1:23:12 time: 0.5312 data_time: 0.0301 memory: 18108 grad_norm: 4.0115 loss: 3.8682 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.2814 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.5868 2023/02/02 04:46:09 - mmengine - INFO - Epoch(train) [161][1480/1879] lr: 3.8922e-02 eta: 1 day, 1:23:02 time: 0.5163 data_time: 0.0368 memory: 18108 grad_norm: 3.9159 loss: 3.6366 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1144 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.5222 2023/02/02 04:46:19 - mmengine - INFO - Epoch(train) [161][1500/1879] lr: 3.8915e-02 eta: 1 day, 1:22:51 time: 0.5248 data_time: 0.0398 memory: 18108 grad_norm: 3.9628 loss: 3.8573 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2924 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.5649 2023/02/02 04:46:30 - mmengine - INFO - Epoch(train) [161][1520/1879] lr: 3.8908e-02 eta: 1 day, 1:22:41 time: 0.5036 data_time: 0.0355 memory: 18108 grad_norm: 3.9012 loss: 3.8792 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3552 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.5240 2023/02/02 04:46:40 - mmengine - INFO - Epoch(train) [161][1540/1879] lr: 3.8900e-02 eta: 1 day, 1:22:31 time: 0.5163 data_time: 0.0318 memory: 18108 grad_norm: 3.9204 loss: 4.0641 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.4896 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.5745 2023/02/02 04:46:50 - mmengine - INFO - Epoch(train) [161][1560/1879] lr: 3.8893e-02 eta: 1 day, 1:22:21 time: 0.5136 data_time: 0.0378 memory: 18108 grad_norm: 3.8802 loss: 3.6750 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0994 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.5756 2023/02/02 04:47:01 - mmengine - INFO - Epoch(train) [161][1580/1879] lr: 3.8886e-02 eta: 1 day, 1:22:11 time: 0.5170 data_time: 0.0336 memory: 18108 grad_norm: 3.9568 loss: 3.9137 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3422 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.5715 2023/02/02 04:47:11 - mmengine - INFO - Epoch(train) [161][1600/1879] lr: 3.8878e-02 eta: 1 day, 1:22:01 time: 0.5124 data_time: 0.0355 memory: 18108 grad_norm: 4.0407 loss: 3.7991 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2046 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.5945 2023/02/02 04:47:21 - mmengine - INFO - Epoch(train) [161][1620/1879] lr: 3.8871e-02 eta: 1 day, 1:21:50 time: 0.5159 data_time: 0.0329 memory: 18108 grad_norm: 4.0036 loss: 3.7098 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2283 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.4815 2023/02/02 04:47:31 - mmengine - INFO - Epoch(train) [161][1640/1879] lr: 3.8864e-02 eta: 1 day, 1:21:40 time: 0.5099 data_time: 0.0337 memory: 18108 grad_norm: 3.9489 loss: 3.5831 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0804 top1_acc_1: 0.5294 top5_acc_1: 0.8471 loss_cls_1: 1.5027 2023/02/02 04:47:42 - mmengine - INFO - Epoch(train) [161][1660/1879] lr: 3.8856e-02 eta: 1 day, 1:21:30 time: 0.5137 data_time: 0.0341 memory: 18108 grad_norm: 3.9473 loss: 3.6096 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1225 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.4872 2023/02/02 04:47:52 - mmengine - INFO - Epoch(train) [161][1680/1879] lr: 3.8849e-02 eta: 1 day, 1:21:20 time: 0.5371 data_time: 0.0355 memory: 18108 grad_norm: 3.8889 loss: 3.6769 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1669 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 1.5100 2023/02/02 04:48:03 - mmengine - INFO - Epoch(train) [161][1700/1879] lr: 3.8841e-02 eta: 1 day, 1:21:10 time: 0.5184 data_time: 0.0308 memory: 18108 grad_norm: 3.8547 loss: 3.6592 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1540 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.5052 2023/02/02 04:48:13 - mmengine - INFO - Epoch(train) [161][1720/1879] lr: 3.8834e-02 eta: 1 day, 1:21:00 time: 0.5091 data_time: 0.0338 memory: 18108 grad_norm: 4.0181 loss: 3.7850 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 2.2066 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.5785 2023/02/02 04:48:24 - mmengine - INFO - Epoch(train) [161][1740/1879] lr: 3.8827e-02 eta: 1 day, 1:20:50 time: 0.5221 data_time: 0.0333 memory: 18108 grad_norm: 4.0380 loss: 3.7869 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2501 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.5368 2023/02/02 04:48:34 - mmengine - INFO - Epoch(train) [161][1760/1879] lr: 3.8819e-02 eta: 1 day, 1:20:40 time: 0.5263 data_time: 0.0326 memory: 18108 grad_norm: 3.9392 loss: 3.6149 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0079 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.6071 2023/02/02 04:48:44 - mmengine - INFO - Epoch(train) [161][1780/1879] lr: 3.8812e-02 eta: 1 day, 1:20:29 time: 0.4963 data_time: 0.0311 memory: 18108 grad_norm: 3.9496 loss: 3.7618 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1707 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.5912 2023/02/02 04:48:54 - mmengine - INFO - Epoch(train) [161][1800/1879] lr: 3.8805e-02 eta: 1 day, 1:20:19 time: 0.5177 data_time: 0.0410 memory: 18108 grad_norm: 4.0242 loss: 3.8610 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3319 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.5291 2023/02/02 04:49:05 - mmengine - INFO - Epoch(train) [161][1820/1879] lr: 3.8797e-02 eta: 1 day, 1:20:09 time: 0.5257 data_time: 0.0318 memory: 18108 grad_norm: 3.9302 loss: 3.5520 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0135 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.5385 2023/02/02 04:49:15 - mmengine - INFO - Epoch(train) [161][1840/1879] lr: 3.8790e-02 eta: 1 day, 1:19:59 time: 0.5000 data_time: 0.0376 memory: 18108 grad_norm: 3.9789 loss: 3.6176 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.0850 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.5326 2023/02/02 04:49:25 - mmengine - INFO - Epoch(train) [161][1860/1879] lr: 3.8783e-02 eta: 1 day, 1:19:49 time: 0.5224 data_time: 0.0368 memory: 18108 grad_norm: 3.9805 loss: 3.7461 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1768 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.5694 2023/02/02 04:49:35 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 04:49:35 - mmengine - INFO - Epoch(train) [161][1879/1879] lr: 3.8776e-02 eta: 1 day, 1:19:39 time: 0.4875 data_time: 0.0312 memory: 18108 grad_norm: 4.0363 loss: 3.9179 top1_acc_0: 0.5714 top5_acc_0: 0.5714 loss_cls_0: 2.3443 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.5735 2023/02/02 04:49:50 - mmengine - INFO - Epoch(train) [162][ 20/1879] lr: 3.8768e-02 eta: 1 day, 1:19:31 time: 0.7236 data_time: 0.2533 memory: 18108 grad_norm: 3.8456 loss: 3.5775 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0377 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.5398 2023/02/02 04:49:59 - mmengine - INFO - Epoch(train) [162][ 40/1879] lr: 3.8761e-02 eta: 1 day, 1:19:20 time: 0.4769 data_time: 0.0330 memory: 18108 grad_norm: 3.9463 loss: 3.3057 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.8487 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.4571 2023/02/02 04:50:09 - mmengine - INFO - Epoch(train) [162][ 60/1879] lr: 3.8754e-02 eta: 1 day, 1:19:10 time: 0.4923 data_time: 0.0381 memory: 18108 grad_norm: 3.8971 loss: 3.7951 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2121 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.5829 2023/02/02 04:50:20 - mmengine - INFO - Epoch(train) [162][ 80/1879] lr: 3.8746e-02 eta: 1 day, 1:19:00 time: 0.5251 data_time: 0.0300 memory: 18108 grad_norm: 4.0393 loss: 3.8293 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3339 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.4954 2023/02/02 04:50:30 - mmengine - INFO - Epoch(train) [162][ 100/1879] lr: 3.8739e-02 eta: 1 day, 1:18:49 time: 0.4944 data_time: 0.0374 memory: 18108 grad_norm: 3.9205 loss: 3.8663 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.4611 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.4052 2023/02/02 04:50:39 - mmengine - INFO - Epoch(train) [162][ 120/1879] lr: 3.8732e-02 eta: 1 day, 1:18:39 time: 0.4740 data_time: 0.0312 memory: 18108 grad_norm: 3.9079 loss: 3.6905 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2447 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.4459 2023/02/02 04:50:50 - mmengine - INFO - Epoch(train) [162][ 140/1879] lr: 3.8724e-02 eta: 1 day, 1:18:29 time: 0.5215 data_time: 0.0373 memory: 18108 grad_norm: 3.9759 loss: 3.7089 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1512 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.5577 2023/02/02 04:50:59 - mmengine - INFO - Epoch(train) [162][ 160/1879] lr: 3.8717e-02 eta: 1 day, 1:18:18 time: 0.4857 data_time: 0.0281 memory: 18108 grad_norm: 3.9141 loss: 3.4609 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0534 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.4075 2023/02/02 04:51:09 - mmengine - INFO - Epoch(train) [162][ 180/1879] lr: 3.8710e-02 eta: 1 day, 1:18:08 time: 0.4955 data_time: 0.0376 memory: 18108 grad_norm: 3.9059 loss: 3.7334 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1981 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.5353 2023/02/02 04:51:19 - mmengine - INFO - Epoch(train) [162][ 200/1879] lr: 3.8702e-02 eta: 1 day, 1:17:57 time: 0.4850 data_time: 0.0294 memory: 18108 grad_norm: 3.8929 loss: 3.6231 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1573 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.4658 2023/02/02 04:51:30 - mmengine - INFO - Epoch(train) [162][ 220/1879] lr: 3.8695e-02 eta: 1 day, 1:17:47 time: 0.5287 data_time: 0.0359 memory: 18108 grad_norm: 3.9599 loss: 3.6559 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1749 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.4810 2023/02/02 04:51:40 - mmengine - INFO - Epoch(train) [162][ 240/1879] lr: 3.8688e-02 eta: 1 day, 1:17:37 time: 0.4922 data_time: 0.0309 memory: 18108 grad_norm: 3.9808 loss: 3.7542 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.2322 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.5219 2023/02/02 04:51:50 - mmengine - INFO - Epoch(train) [162][ 260/1879] lr: 3.8680e-02 eta: 1 day, 1:17:27 time: 0.5067 data_time: 0.0372 memory: 18108 grad_norm: 3.9432 loss: 3.6082 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.1159 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.4922 2023/02/02 04:52:00 - mmengine - INFO - Epoch(train) [162][ 280/1879] lr: 3.8673e-02 eta: 1 day, 1:17:16 time: 0.4965 data_time: 0.0296 memory: 18108 grad_norm: 3.8820 loss: 3.4582 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0224 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.4358 2023/02/02 04:52:10 - mmengine - INFO - Epoch(train) [162][ 300/1879] lr: 3.8666e-02 eta: 1 day, 1:17:06 time: 0.5097 data_time: 0.0427 memory: 18108 grad_norm: 3.8649 loss: 3.6161 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.1954 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.4208 2023/02/02 04:52:20 - mmengine - INFO - Epoch(train) [162][ 320/1879] lr: 3.8658e-02 eta: 1 day, 1:16:56 time: 0.4940 data_time: 0.0300 memory: 18108 grad_norm: 4.0137 loss: 3.6314 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1089 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.5226 2023/02/02 04:52:30 - mmengine - INFO - Epoch(train) [162][ 340/1879] lr: 3.8651e-02 eta: 1 day, 1:16:45 time: 0.5079 data_time: 0.0351 memory: 18108 grad_norm: 3.9414 loss: 3.6048 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0714 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.5334 2023/02/02 04:52:40 - mmengine - INFO - Epoch(train) [162][ 360/1879] lr: 3.8644e-02 eta: 1 day, 1:16:35 time: 0.5073 data_time: 0.0313 memory: 18108 grad_norm: 3.9585 loss: 3.7282 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.2557 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.4726 2023/02/02 04:52:50 - mmengine - INFO - Epoch(train) [162][ 380/1879] lr: 3.8636e-02 eta: 1 day, 1:16:25 time: 0.4993 data_time: 0.0422 memory: 18108 grad_norm: 3.9328 loss: 3.5617 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0614 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5002 2023/02/02 04:53:00 - mmengine - INFO - Epoch(train) [162][ 400/1879] lr: 3.8629e-02 eta: 1 day, 1:16:14 time: 0.4946 data_time: 0.0299 memory: 18108 grad_norm: 4.0449 loss: 3.6496 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1365 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.5131 2023/02/02 04:53:10 - mmengine - INFO - Epoch(train) [162][ 420/1879] lr: 3.8622e-02 eta: 1 day, 1:16:04 time: 0.5119 data_time: 0.0371 memory: 18108 grad_norm: 3.8861 loss: 3.6439 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1533 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.4906 2023/02/02 04:53:20 - mmengine - INFO - Epoch(train) [162][ 440/1879] lr: 3.8614e-02 eta: 1 day, 1:15:54 time: 0.5061 data_time: 0.0385 memory: 18108 grad_norm: 3.9509 loss: 3.5968 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9964 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.6004 2023/02/02 04:53:30 - mmengine - INFO - Epoch(train) [162][ 460/1879] lr: 3.8607e-02 eta: 1 day, 1:15:43 time: 0.5026 data_time: 0.0353 memory: 18108 grad_norm: 3.9673 loss: 3.7821 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2415 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.5406 2023/02/02 04:53:41 - mmengine - INFO - Epoch(train) [162][ 480/1879] lr: 3.8600e-02 eta: 1 day, 1:15:33 time: 0.5114 data_time: 0.0317 memory: 18108 grad_norm: 3.9798 loss: 3.6685 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1393 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.5292 2023/02/02 04:53:41 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 04:53:51 - mmengine - INFO - Epoch(train) [162][ 500/1879] lr: 3.8592e-02 eta: 1 day, 1:15:23 time: 0.5240 data_time: 0.0410 memory: 18108 grad_norm: 3.9848 loss: 3.4700 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.9153 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.5547 2023/02/02 04:54:01 - mmengine - INFO - Epoch(train) [162][ 520/1879] lr: 3.8585e-02 eta: 1 day, 1:15:13 time: 0.4974 data_time: 0.0323 memory: 18108 grad_norm: 4.0469 loss: 3.8995 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.3487 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5507 2023/02/02 04:54:11 - mmengine - INFO - Epoch(train) [162][ 540/1879] lr: 3.8578e-02 eta: 1 day, 1:15:03 time: 0.5062 data_time: 0.0331 memory: 18108 grad_norm: 3.9587 loss: 3.7309 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2581 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.4728 2023/02/02 04:54:21 - mmengine - INFO - Epoch(train) [162][ 560/1879] lr: 3.8570e-02 eta: 1 day, 1:14:52 time: 0.5020 data_time: 0.0305 memory: 18108 grad_norm: 3.9614 loss: 3.8259 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.2128 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.6131 2023/02/02 04:54:32 - mmengine - INFO - Epoch(train) [162][ 580/1879] lr: 3.8563e-02 eta: 1 day, 1:14:42 time: 0.5161 data_time: 0.0394 memory: 18108 grad_norm: 3.9885 loss: 3.5925 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0800 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.5125 2023/02/02 04:54:42 - mmengine - INFO - Epoch(train) [162][ 600/1879] lr: 3.8556e-02 eta: 1 day, 1:14:32 time: 0.4960 data_time: 0.0319 memory: 18108 grad_norm: 4.0151 loss: 3.7491 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1680 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.5811 2023/02/02 04:54:52 - mmengine - INFO - Epoch(train) [162][ 620/1879] lr: 3.8548e-02 eta: 1 day, 1:14:21 time: 0.5128 data_time: 0.0322 memory: 18108 grad_norm: 3.9378 loss: 3.6768 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1329 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.5439 2023/02/02 04:55:02 - mmengine - INFO - Epoch(train) [162][ 640/1879] lr: 3.8541e-02 eta: 1 day, 1:14:11 time: 0.5182 data_time: 0.0377 memory: 18108 grad_norm: 4.0454 loss: 3.8097 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2259 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.5838 2023/02/02 04:55:12 - mmengine - INFO - Epoch(train) [162][ 660/1879] lr: 3.8534e-02 eta: 1 day, 1:14:01 time: 0.5065 data_time: 0.0327 memory: 18108 grad_norm: 4.0508 loss: 3.7518 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1400 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.6119 2023/02/02 04:55:22 - mmengine - INFO - Epoch(train) [162][ 680/1879] lr: 3.8526e-02 eta: 1 day, 1:13:51 time: 0.4995 data_time: 0.0325 memory: 18108 grad_norm: 4.0031 loss: 3.6857 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.1925 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.4932 2023/02/02 04:55:33 - mmengine - INFO - Epoch(train) [162][ 700/1879] lr: 3.8519e-02 eta: 1 day, 1:13:41 time: 0.5203 data_time: 0.0351 memory: 18108 grad_norm: 4.0382 loss: 3.7543 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2685 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.4858 2023/02/02 04:55:43 - mmengine - INFO - Epoch(train) [162][ 720/1879] lr: 3.8512e-02 eta: 1 day, 1:13:30 time: 0.5101 data_time: 0.0308 memory: 18108 grad_norm: 4.0201 loss: 3.7688 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.2016 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.5672 2023/02/02 04:55:53 - mmengine - INFO - Epoch(train) [162][ 740/1879] lr: 3.8504e-02 eta: 1 day, 1:13:20 time: 0.5049 data_time: 0.0345 memory: 18108 grad_norm: 3.9467 loss: 3.8143 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2022 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.6121 2023/02/02 04:56:03 - mmengine - INFO - Epoch(train) [162][ 760/1879] lr: 3.8497e-02 eta: 1 day, 1:13:10 time: 0.4988 data_time: 0.0304 memory: 18108 grad_norm: 3.9636 loss: 3.6141 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.0058 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.6083 2023/02/02 04:56:14 - mmengine - INFO - Epoch(train) [162][ 780/1879] lr: 3.8490e-02 eta: 1 day, 1:13:00 time: 0.5295 data_time: 0.0424 memory: 18108 grad_norm: 4.0477 loss: 3.6519 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1339 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.5180 2023/02/02 04:56:24 - mmengine - INFO - Epoch(train) [162][ 800/1879] lr: 3.8482e-02 eta: 1 day, 1:12:49 time: 0.5047 data_time: 0.0304 memory: 18108 grad_norm: 4.0948 loss: 3.8184 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2098 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.6086 2023/02/02 04:56:34 - mmengine - INFO - Epoch(train) [162][ 820/1879] lr: 3.8475e-02 eta: 1 day, 1:12:39 time: 0.5005 data_time: 0.0350 memory: 18108 grad_norm: 3.9420 loss: 3.5792 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.1085 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.4706 2023/02/02 04:56:44 - mmengine - INFO - Epoch(train) [162][ 840/1879] lr: 3.8468e-02 eta: 1 day, 1:12:29 time: 0.5156 data_time: 0.0381 memory: 18108 grad_norm: 3.9851 loss: 3.7337 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1169 top1_acc_1: 0.6235 top5_acc_1: 0.7412 loss_cls_1: 1.6168 2023/02/02 04:56:55 - mmengine - INFO - Epoch(train) [162][ 860/1879] lr: 3.8460e-02 eta: 1 day, 1:12:19 time: 0.5192 data_time: 0.0343 memory: 18108 grad_norm: 3.9587 loss: 3.8427 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.3042 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.5385 2023/02/02 04:57:05 - mmengine - INFO - Epoch(train) [162][ 880/1879] lr: 3.8453e-02 eta: 1 day, 1:12:09 time: 0.4982 data_time: 0.0300 memory: 18108 grad_norm: 4.0532 loss: 3.6167 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.0631 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.5536 2023/02/02 04:57:15 - mmengine - INFO - Epoch(train) [162][ 900/1879] lr: 3.8446e-02 eta: 1 day, 1:11:58 time: 0.5177 data_time: 0.0354 memory: 18108 grad_norm: 3.9417 loss: 3.5481 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.0820 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.4661 2023/02/02 04:57:25 - mmengine - INFO - Epoch(train) [162][ 920/1879] lr: 3.8438e-02 eta: 1 day, 1:11:48 time: 0.5053 data_time: 0.0321 memory: 18108 grad_norm: 4.0289 loss: 3.7978 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3019 top1_acc_1: 0.5412 top5_acc_1: 0.9059 loss_cls_1: 1.4959 2023/02/02 04:57:36 - mmengine - INFO - Epoch(train) [162][ 940/1879] lr: 3.8431e-02 eta: 1 day, 1:11:38 time: 0.5176 data_time: 0.0339 memory: 18108 grad_norm: 4.0068 loss: 3.7930 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.2236 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.5694 2023/02/02 04:57:46 - mmengine - INFO - Epoch(train) [162][ 960/1879] lr: 3.8424e-02 eta: 1 day, 1:11:28 time: 0.5149 data_time: 0.0327 memory: 18108 grad_norm: 3.9248 loss: 3.4737 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9941 top1_acc_1: 0.6941 top5_acc_1: 0.8118 loss_cls_1: 1.4796 2023/02/02 04:57:56 - mmengine - INFO - Epoch(train) [162][ 980/1879] lr: 3.8416e-02 eta: 1 day, 1:11:18 time: 0.5175 data_time: 0.0415 memory: 18108 grad_norm: 4.1059 loss: 3.6930 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2357 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.4574 2023/02/02 04:58:06 - mmengine - INFO - Epoch(train) [162][1000/1879] lr: 3.8409e-02 eta: 1 day, 1:11:07 time: 0.5021 data_time: 0.0333 memory: 18108 grad_norm: 3.9290 loss: 3.4981 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 2.0407 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.4573 2023/02/02 04:58:17 - mmengine - INFO - Epoch(train) [162][1020/1879] lr: 3.8402e-02 eta: 1 day, 1:10:57 time: 0.5099 data_time: 0.0349 memory: 18108 grad_norm: 4.0159 loss: 3.8314 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2526 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.5788 2023/02/02 04:58:27 - mmengine - INFO - Epoch(train) [162][1040/1879] lr: 3.8395e-02 eta: 1 day, 1:10:47 time: 0.5112 data_time: 0.0387 memory: 18108 grad_norm: 4.0363 loss: 3.8708 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.3759 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.4949 2023/02/02 04:58:37 - mmengine - INFO - Epoch(train) [162][1060/1879] lr: 3.8387e-02 eta: 1 day, 1:10:37 time: 0.5100 data_time: 0.0331 memory: 18108 grad_norm: 3.9927 loss: 3.7422 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.1008 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.6415 2023/02/02 04:58:47 - mmengine - INFO - Epoch(train) [162][1080/1879] lr: 3.8380e-02 eta: 1 day, 1:10:26 time: 0.4959 data_time: 0.0335 memory: 18108 grad_norm: 4.0611 loss: 3.6146 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0734 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.5413 2023/02/02 04:58:57 - mmengine - INFO - Epoch(train) [162][1100/1879] lr: 3.8373e-02 eta: 1 day, 1:10:16 time: 0.5203 data_time: 0.0353 memory: 18108 grad_norm: 3.9242 loss: 3.6156 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1070 top1_acc_1: 0.6235 top5_acc_1: 0.8941 loss_cls_1: 1.5086 2023/02/02 04:59:08 - mmengine - INFO - Epoch(train) [162][1120/1879] lr: 3.8365e-02 eta: 1 day, 1:10:06 time: 0.5189 data_time: 0.0319 memory: 18108 grad_norm: 4.0229 loss: 3.7254 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2500 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.4754 2023/02/02 04:59:18 - mmengine - INFO - Epoch(train) [162][1140/1879] lr: 3.8358e-02 eta: 1 day, 1:09:56 time: 0.5177 data_time: 0.0364 memory: 18108 grad_norm: 4.0389 loss: 3.6642 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1158 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.5484 2023/02/02 04:59:28 - mmengine - INFO - Epoch(train) [162][1160/1879] lr: 3.8351e-02 eta: 1 day, 1:09:46 time: 0.5143 data_time: 0.0326 memory: 18108 grad_norm: 3.9708 loss: 3.6552 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.1734 top1_acc_1: 0.5412 top5_acc_1: 0.7412 loss_cls_1: 1.4818 2023/02/02 04:59:39 - mmengine - INFO - Epoch(train) [162][1180/1879] lr: 3.8343e-02 eta: 1 day, 1:09:36 time: 0.5285 data_time: 0.0348 memory: 18108 grad_norm: 3.9306 loss: 3.5310 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.0174 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.5136 2023/02/02 04:59:49 - mmengine - INFO - Epoch(train) [162][1200/1879] lr: 3.8336e-02 eta: 1 day, 1:09:26 time: 0.5223 data_time: 0.0311 memory: 18108 grad_norm: 4.0680 loss: 3.9524 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3957 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.5567 2023/02/02 05:00:00 - mmengine - INFO - Epoch(train) [162][1220/1879] lr: 3.8329e-02 eta: 1 day, 1:09:16 time: 0.5243 data_time: 0.0347 memory: 18108 grad_norm: 3.9710 loss: 3.6453 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.0963 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.5490 2023/02/02 05:00:11 - mmengine - INFO - Epoch(train) [162][1240/1879] lr: 3.8321e-02 eta: 1 day, 1:09:06 time: 0.5345 data_time: 0.0397 memory: 18108 grad_norm: 3.9770 loss: 3.6110 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0722 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.5387 2023/02/02 05:00:21 - mmengine - INFO - Epoch(train) [162][1260/1879] lr: 3.8314e-02 eta: 1 day, 1:08:56 time: 0.5314 data_time: 0.0338 memory: 18108 grad_norm: 4.0582 loss: 3.8141 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.2922 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.5218 2023/02/02 05:00:32 - mmengine - INFO - Epoch(train) [162][1280/1879] lr: 3.8307e-02 eta: 1 day, 1:08:46 time: 0.5179 data_time: 0.0308 memory: 18108 grad_norm: 3.9245 loss: 3.4097 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.8880 top1_acc_1: 0.6235 top5_acc_1: 0.7647 loss_cls_1: 1.5217 2023/02/02 05:00:42 - mmengine - INFO - Epoch(train) [162][1300/1879] lr: 3.8299e-02 eta: 1 day, 1:08:35 time: 0.5201 data_time: 0.0417 memory: 18108 grad_norm: 3.9841 loss: 3.6881 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1540 top1_acc_1: 0.6235 top5_acc_1: 0.9059 loss_cls_1: 1.5341 2023/02/02 05:00:53 - mmengine - INFO - Epoch(train) [162][1320/1879] lr: 3.8292e-02 eta: 1 day, 1:08:26 time: 0.5352 data_time: 0.0325 memory: 18108 grad_norm: 3.9996 loss: 3.6885 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.0917 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.5968 2023/02/02 05:01:03 - mmengine - INFO - Epoch(train) [162][1340/1879] lr: 3.8285e-02 eta: 1 day, 1:08:15 time: 0.5117 data_time: 0.0350 memory: 18108 grad_norm: 3.9727 loss: 3.6554 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1691 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4863 2023/02/02 05:01:13 - mmengine - INFO - Epoch(train) [162][1360/1879] lr: 3.8277e-02 eta: 1 day, 1:08:05 time: 0.5038 data_time: 0.0325 memory: 18108 grad_norm: 3.9915 loss: 3.5612 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9362 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.6250 2023/02/02 05:01:24 - mmengine - INFO - Epoch(train) [162][1380/1879] lr: 3.8270e-02 eta: 1 day, 1:07:55 time: 0.5240 data_time: 0.0404 memory: 18108 grad_norm: 3.9653 loss: 3.5867 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0750 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5116 2023/02/02 05:01:34 - mmengine - INFO - Epoch(train) [162][1400/1879] lr: 3.8263e-02 eta: 1 day, 1:07:45 time: 0.5009 data_time: 0.0337 memory: 18108 grad_norm: 4.0455 loss: 3.7539 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2359 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.5180 2023/02/02 05:01:44 - mmengine - INFO - Epoch(train) [162][1420/1879] lr: 3.8255e-02 eta: 1 day, 1:07:34 time: 0.5079 data_time: 0.0331 memory: 18108 grad_norm: 4.0539 loss: 3.9203 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3756 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.5447 2023/02/02 05:01:54 - mmengine - INFO - Epoch(train) [162][1440/1879] lr: 3.8248e-02 eta: 1 day, 1:07:24 time: 0.5023 data_time: 0.0394 memory: 18108 grad_norm: 3.9955 loss: 3.6705 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.0942 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.5763 2023/02/02 05:02:04 - mmengine - INFO - Epoch(train) [162][1460/1879] lr: 3.8241e-02 eta: 1 day, 1:07:14 time: 0.5184 data_time: 0.0340 memory: 18108 grad_norm: 4.0524 loss: 3.7828 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2791 top1_acc_1: 0.6471 top5_acc_1: 0.9294 loss_cls_1: 1.5037 2023/02/02 05:02:14 - mmengine - INFO - Epoch(train) [162][1480/1879] lr: 3.8233e-02 eta: 1 day, 1:07:04 time: 0.4961 data_time: 0.0361 memory: 18108 grad_norm: 3.9834 loss: 3.7498 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2091 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.5407 2023/02/02 05:02:15 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 05:02:25 - mmengine - INFO - Epoch(train) [162][1500/1879] lr: 3.8226e-02 eta: 1 day, 1:06:53 time: 0.5109 data_time: 0.0351 memory: 18108 grad_norm: 3.9453 loss: 3.7013 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1363 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.5651 2023/02/02 05:02:35 - mmengine - INFO - Epoch(train) [162][1520/1879] lr: 3.8219e-02 eta: 1 day, 1:06:43 time: 0.5203 data_time: 0.0426 memory: 18108 grad_norm: 3.9334 loss: 3.5617 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9978 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.5638 2023/02/02 05:02:45 - mmengine - INFO - Epoch(train) [162][1540/1879] lr: 3.8211e-02 eta: 1 day, 1:06:33 time: 0.5168 data_time: 0.0336 memory: 18108 grad_norm: 3.9908 loss: 3.7222 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.1728 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.5493 2023/02/02 05:02:55 - mmengine - INFO - Epoch(train) [162][1560/1879] lr: 3.8204e-02 eta: 1 day, 1:06:23 time: 0.5003 data_time: 0.0348 memory: 18108 grad_norm: 4.0290 loss: 3.7596 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2204 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.5392 2023/02/02 05:03:06 - mmengine - INFO - Epoch(train) [162][1580/1879] lr: 3.8197e-02 eta: 1 day, 1:06:13 time: 0.5178 data_time: 0.0411 memory: 18108 grad_norm: 3.9236 loss: 3.7003 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1911 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5092 2023/02/02 05:03:16 - mmengine - INFO - Epoch(train) [162][1600/1879] lr: 3.8189e-02 eta: 1 day, 1:06:02 time: 0.5114 data_time: 0.0356 memory: 18108 grad_norm: 4.0186 loss: 4.0197 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3952 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.6245 2023/02/02 05:03:26 - mmengine - INFO - Epoch(train) [162][1620/1879] lr: 3.8182e-02 eta: 1 day, 1:05:52 time: 0.5033 data_time: 0.0348 memory: 18108 grad_norm: 3.9655 loss: 3.5698 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0640 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.5057 2023/02/02 05:03:36 - mmengine - INFO - Epoch(train) [162][1640/1879] lr: 3.8175e-02 eta: 1 day, 1:05:42 time: 0.4989 data_time: 0.0351 memory: 18108 grad_norm: 3.9496 loss: 3.5869 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0369 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.5501 2023/02/02 05:03:47 - mmengine - INFO - Epoch(train) [162][1660/1879] lr: 3.8168e-02 eta: 1 day, 1:05:32 time: 0.5220 data_time: 0.0424 memory: 18108 grad_norm: 3.9965 loss: 3.6277 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.1630 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.4647 2023/02/02 05:03:56 - mmengine - INFO - Epoch(train) [162][1680/1879] lr: 3.8160e-02 eta: 1 day, 1:05:21 time: 0.4910 data_time: 0.0330 memory: 18108 grad_norm: 4.0393 loss: 3.5981 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1405 top1_acc_1: 0.5529 top5_acc_1: 0.8706 loss_cls_1: 1.4576 2023/02/02 05:04:06 - mmengine - INFO - Epoch(train) [162][1700/1879] lr: 3.8153e-02 eta: 1 day, 1:05:11 time: 0.5063 data_time: 0.0341 memory: 18108 grad_norm: 3.9222 loss: 3.5903 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.0141 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.5762 2023/02/02 05:04:17 - mmengine - INFO - Epoch(train) [162][1720/1879] lr: 3.8146e-02 eta: 1 day, 1:05:01 time: 0.5171 data_time: 0.0322 memory: 18108 grad_norm: 4.0317 loss: 3.7996 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2475 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.5521 2023/02/02 05:04:27 - mmengine - INFO - Epoch(train) [162][1740/1879] lr: 3.8138e-02 eta: 1 day, 1:04:51 time: 0.5223 data_time: 0.0339 memory: 18108 grad_norm: 4.0334 loss: 3.8388 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2256 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.6132 2023/02/02 05:04:37 - mmengine - INFO - Epoch(train) [162][1760/1879] lr: 3.8131e-02 eta: 1 day, 1:04:40 time: 0.4923 data_time: 0.0331 memory: 18108 grad_norm: 3.9482 loss: 3.9208 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3711 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.5497 2023/02/02 05:04:48 - mmengine - INFO - Epoch(train) [162][1780/1879] lr: 3.8124e-02 eta: 1 day, 1:04:30 time: 0.5198 data_time: 0.0334 memory: 18108 grad_norm: 3.9530 loss: 3.9124 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2949 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.6174 2023/02/02 05:04:58 - mmengine - INFO - Epoch(train) [162][1800/1879] lr: 3.8116e-02 eta: 1 day, 1:04:20 time: 0.5330 data_time: 0.0399 memory: 18108 grad_norm: 3.8989 loss: 3.6625 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1570 top1_acc_1: 0.6353 top5_acc_1: 0.9176 loss_cls_1: 1.5055 2023/02/02 05:05:08 - mmengine - INFO - Epoch(train) [162][1820/1879] lr: 3.8109e-02 eta: 1 day, 1:04:10 time: 0.5052 data_time: 0.0339 memory: 18108 grad_norm: 3.9358 loss: 3.8342 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.2789 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.5553 2023/02/02 05:05:18 - mmengine - INFO - Epoch(train) [162][1840/1879] lr: 3.8102e-02 eta: 1 day, 1:04:00 time: 0.5008 data_time: 0.0368 memory: 18108 grad_norm: 3.9977 loss: 3.6832 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1434 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.5398 2023/02/02 05:05:29 - mmengine - INFO - Epoch(train) [162][1860/1879] lr: 3.8094e-02 eta: 1 day, 1:03:49 time: 0.5128 data_time: 0.0327 memory: 18108 grad_norm: 4.0523 loss: 3.5396 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.9841 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.5555 2023/02/02 05:05:38 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 05:05:38 - mmengine - INFO - Epoch(train) [162][1879/1879] lr: 3.8087e-02 eta: 1 day, 1:03:39 time: 0.4915 data_time: 0.0378 memory: 18108 grad_norm: 4.1714 loss: 3.8456 top1_acc_0: 0.4286 top5_acc_0: 0.5714 loss_cls_0: 2.2652 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.5804 2023/02/02 05:05:53 - mmengine - INFO - Epoch(train) [163][ 20/1879] lr: 3.8080e-02 eta: 1 day, 1:03:32 time: 0.7052 data_time: 0.2564 memory: 18108 grad_norm: 3.9531 loss: 3.5444 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0891 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.4553 2023/02/02 05:06:02 - mmengine - INFO - Epoch(train) [163][ 40/1879] lr: 3.8073e-02 eta: 1 day, 1:03:21 time: 0.4662 data_time: 0.0329 memory: 18108 grad_norm: 3.9847 loss: 3.7947 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2905 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.5042 2023/02/02 05:06:12 - mmengine - INFO - Epoch(train) [163][ 60/1879] lr: 3.8065e-02 eta: 1 day, 1:03:10 time: 0.4788 data_time: 0.0356 memory: 18108 grad_norm: 4.0251 loss: 3.6699 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1575 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.5124 2023/02/02 05:06:22 - mmengine - INFO - Epoch(train) [163][ 80/1879] lr: 3.8058e-02 eta: 1 day, 1:03:00 time: 0.5089 data_time: 0.0430 memory: 18108 grad_norm: 3.9250 loss: 3.6767 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2258 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.4509 2023/02/02 05:06:32 - mmengine - INFO - Epoch(train) [163][ 100/1879] lr: 3.8051e-02 eta: 1 day, 1:02:49 time: 0.4791 data_time: 0.0398 memory: 18108 grad_norm: 3.9728 loss: 3.7613 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.1989 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.5624 2023/02/02 05:06:41 - mmengine - INFO - Epoch(train) [163][ 120/1879] lr: 3.8044e-02 eta: 1 day, 1:02:39 time: 0.4702 data_time: 0.0317 memory: 18108 grad_norm: 4.0137 loss: 3.5581 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1747 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.3834 2023/02/02 05:06:51 - mmengine - INFO - Epoch(train) [163][ 140/1879] lr: 3.8036e-02 eta: 1 day, 1:02:28 time: 0.4984 data_time: 0.0452 memory: 18108 grad_norm: 3.9490 loss: 3.4612 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9512 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.5101 2023/02/02 05:07:01 - mmengine - INFO - Epoch(train) [163][ 160/1879] lr: 3.8029e-02 eta: 1 day, 1:02:18 time: 0.5007 data_time: 0.0311 memory: 18108 grad_norm: 4.0355 loss: 3.5876 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1201 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.4675 2023/02/02 05:07:11 - mmengine - INFO - Epoch(train) [163][ 180/1879] lr: 3.8022e-02 eta: 1 day, 1:02:07 time: 0.4820 data_time: 0.0378 memory: 18108 grad_norm: 4.0534 loss: 3.5276 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0741 top1_acc_1: 0.6353 top5_acc_1: 0.7529 loss_cls_1: 1.4535 2023/02/02 05:07:20 - mmengine - INFO - Epoch(train) [163][ 200/1879] lr: 3.8014e-02 eta: 1 day, 1:01:57 time: 0.4828 data_time: 0.0392 memory: 18108 grad_norm: 4.0015 loss: 3.6112 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0008 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.6104 2023/02/02 05:07:30 - mmengine - INFO - Epoch(train) [163][ 220/1879] lr: 3.8007e-02 eta: 1 day, 1:01:46 time: 0.4922 data_time: 0.0373 memory: 18108 grad_norm: 3.9857 loss: 3.4382 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8808 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.5574 2023/02/02 05:07:40 - mmengine - INFO - Epoch(train) [163][ 240/1879] lr: 3.8000e-02 eta: 1 day, 1:01:36 time: 0.4852 data_time: 0.0303 memory: 18108 grad_norm: 4.0118 loss: 3.7113 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2420 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.4692 2023/02/02 05:07:50 - mmengine - INFO - Epoch(train) [163][ 260/1879] lr: 3.7992e-02 eta: 1 day, 1:01:25 time: 0.4840 data_time: 0.0372 memory: 18108 grad_norm: 4.0005 loss: 3.6682 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0851 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.5831 2023/02/02 05:07:59 - mmengine - INFO - Epoch(train) [163][ 280/1879] lr: 3.7985e-02 eta: 1 day, 1:01:15 time: 0.4832 data_time: 0.0319 memory: 18108 grad_norm: 4.0693 loss: 3.6692 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.1650 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.5042 2023/02/02 05:08:09 - mmengine - INFO - Epoch(train) [163][ 300/1879] lr: 3.7978e-02 eta: 1 day, 1:01:04 time: 0.4923 data_time: 0.0384 memory: 18108 grad_norm: 3.9430 loss: 3.6719 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2275 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.4445 2023/02/02 05:08:19 - mmengine - INFO - Epoch(train) [163][ 320/1879] lr: 3.7970e-02 eta: 1 day, 1:00:54 time: 0.4941 data_time: 0.0312 memory: 18108 grad_norm: 4.0418 loss: 3.6845 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1876 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.4968 2023/02/02 05:08:29 - mmengine - INFO - Epoch(train) [163][ 340/1879] lr: 3.7963e-02 eta: 1 day, 1:00:44 time: 0.5044 data_time: 0.0432 memory: 18108 grad_norm: 4.0306 loss: 3.7374 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1909 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.5465 2023/02/02 05:08:39 - mmengine - INFO - Epoch(train) [163][ 360/1879] lr: 3.7956e-02 eta: 1 day, 1:00:33 time: 0.4919 data_time: 0.0306 memory: 18108 grad_norm: 3.9160 loss: 3.7054 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1623 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.5431 2023/02/02 05:08:49 - mmengine - INFO - Epoch(train) [163][ 380/1879] lr: 3.7949e-02 eta: 1 day, 1:00:23 time: 0.5013 data_time: 0.0390 memory: 18108 grad_norm: 4.0164 loss: 3.7666 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1827 top1_acc_1: 0.4941 top5_acc_1: 0.7412 loss_cls_1: 1.5839 2023/02/02 05:08:59 - mmengine - INFO - Epoch(train) [163][ 400/1879] lr: 3.7941e-02 eta: 1 day, 1:00:13 time: 0.4945 data_time: 0.0299 memory: 18108 grad_norm: 4.0263 loss: 3.6857 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1729 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.5128 2023/02/02 05:09:09 - mmengine - INFO - Epoch(train) [163][ 420/1879] lr: 3.7934e-02 eta: 1 day, 1:00:02 time: 0.5034 data_time: 0.0369 memory: 18108 grad_norm: 3.9109 loss: 3.5156 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0126 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.5030 2023/02/02 05:09:19 - mmengine - INFO - Epoch(train) [163][ 440/1879] lr: 3.7927e-02 eta: 1 day, 0:59:52 time: 0.4955 data_time: 0.0322 memory: 18108 grad_norm: 4.0199 loss: 3.8130 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.2393 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.5737 2023/02/02 05:09:29 - mmengine - INFO - Epoch(train) [163][ 460/1879] lr: 3.7919e-02 eta: 1 day, 0:59:42 time: 0.4953 data_time: 0.0450 memory: 18108 grad_norm: 4.0161 loss: 3.5300 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9623 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.5678 2023/02/02 05:09:39 - mmengine - INFO - Epoch(train) [163][ 480/1879] lr: 3.7912e-02 eta: 1 day, 0:59:31 time: 0.4996 data_time: 0.0310 memory: 18108 grad_norm: 4.0066 loss: 3.4862 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0582 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.4280 2023/02/02 05:09:49 - mmengine - INFO - Epoch(train) [163][ 500/1879] lr: 3.7905e-02 eta: 1 day, 0:59:21 time: 0.5030 data_time: 0.0352 memory: 18108 grad_norm: 4.0452 loss: 3.5631 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0414 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.5216 2023/02/02 05:09:59 - mmengine - INFO - Epoch(train) [163][ 520/1879] lr: 3.7897e-02 eta: 1 day, 0:59:11 time: 0.5007 data_time: 0.0315 memory: 18108 grad_norm: 3.9261 loss: 3.7324 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1996 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.5328 2023/02/02 05:10:09 - mmengine - INFO - Epoch(train) [163][ 540/1879] lr: 3.7890e-02 eta: 1 day, 0:59:00 time: 0.5020 data_time: 0.0368 memory: 18108 grad_norm: 3.9154 loss: 3.4823 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9915 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.4908 2023/02/02 05:10:19 - mmengine - INFO - Epoch(train) [163][ 560/1879] lr: 3.7883e-02 eta: 1 day, 0:58:50 time: 0.5101 data_time: 0.0312 memory: 18108 grad_norm: 4.1212 loss: 3.6655 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0437 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.6219 2023/02/02 05:10:29 - mmengine - INFO - Epoch(train) [163][ 580/1879] lr: 3.7875e-02 eta: 1 day, 0:58:40 time: 0.5016 data_time: 0.0364 memory: 18108 grad_norm: 4.1542 loss: 3.9030 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.3360 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.5670 2023/02/02 05:10:40 - mmengine - INFO - Epoch(train) [163][ 600/1879] lr: 3.7868e-02 eta: 1 day, 0:58:29 time: 0.5053 data_time: 0.0372 memory: 18108 grad_norm: 3.9586 loss: 3.4832 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.9306 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.5526 2023/02/02 05:10:41 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 05:10:50 - mmengine - INFO - Epoch(train) [163][ 620/1879] lr: 3.7861e-02 eta: 1 day, 0:58:19 time: 0.5054 data_time: 0.0391 memory: 18108 grad_norm: 3.9854 loss: 3.6578 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1836 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.4743 2023/02/02 05:11:00 - mmengine - INFO - Epoch(train) [163][ 640/1879] lr: 3.7854e-02 eta: 1 day, 0:58:09 time: 0.5003 data_time: 0.0303 memory: 18108 grad_norm: 3.9887 loss: 3.4817 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.0895 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.3921 2023/02/02 05:11:10 - mmengine - INFO - Epoch(train) [163][ 660/1879] lr: 3.7846e-02 eta: 1 day, 0:57:59 time: 0.5079 data_time: 0.0435 memory: 18108 grad_norm: 4.0952 loss: 3.4819 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 1.9892 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.4927 2023/02/02 05:11:20 - mmengine - INFO - Epoch(train) [163][ 680/1879] lr: 3.7839e-02 eta: 1 day, 0:57:48 time: 0.4949 data_time: 0.0323 memory: 18108 grad_norm: 3.9831 loss: 3.7572 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.1507 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.6065 2023/02/02 05:11:30 - mmengine - INFO - Epoch(train) [163][ 700/1879] lr: 3.7832e-02 eta: 1 day, 0:57:38 time: 0.5215 data_time: 0.0378 memory: 18108 grad_norm: 3.9963 loss: 3.7333 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 2.1407 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.5926 2023/02/02 05:11:40 - mmengine - INFO - Epoch(train) [163][ 720/1879] lr: 3.7824e-02 eta: 1 day, 0:57:28 time: 0.5087 data_time: 0.0403 memory: 18108 grad_norm: 3.9806 loss: 3.7335 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.0993 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.6343 2023/02/02 05:11:51 - mmengine - INFO - Epoch(train) [163][ 740/1879] lr: 3.7817e-02 eta: 1 day, 0:57:18 time: 0.5072 data_time: 0.0405 memory: 18108 grad_norm: 4.0656 loss: 3.7061 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1827 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.5234 2023/02/02 05:12:00 - mmengine - INFO - Epoch(train) [163][ 760/1879] lr: 3.7810e-02 eta: 1 day, 0:57:07 time: 0.4902 data_time: 0.0299 memory: 18108 grad_norm: 4.0201 loss: 3.4254 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9629 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.4625 2023/02/02 05:12:11 - mmengine - INFO - Epoch(train) [163][ 780/1879] lr: 3.7802e-02 eta: 1 day, 0:56:57 time: 0.5114 data_time: 0.0377 memory: 18108 grad_norm: 4.0597 loss: 3.6284 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1638 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.4646 2023/02/02 05:12:21 - mmengine - INFO - Epoch(train) [163][ 800/1879] lr: 3.7795e-02 eta: 1 day, 0:56:47 time: 0.5028 data_time: 0.0298 memory: 18108 grad_norm: 4.0184 loss: 3.6248 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1186 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.5063 2023/02/02 05:12:31 - mmengine - INFO - Epoch(train) [163][ 820/1879] lr: 3.7788e-02 eta: 1 day, 0:56:36 time: 0.5087 data_time: 0.0383 memory: 18108 grad_norm: 4.0492 loss: 3.8147 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2802 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.5345 2023/02/02 05:12:41 - mmengine - INFO - Epoch(train) [163][ 840/1879] lr: 3.7780e-02 eta: 1 day, 0:56:26 time: 0.5139 data_time: 0.0290 memory: 18108 grad_norm: 3.9512 loss: 3.6827 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1471 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.5357 2023/02/02 05:12:52 - mmengine - INFO - Epoch(train) [163][ 860/1879] lr: 3.7773e-02 eta: 1 day, 0:56:16 time: 0.5183 data_time: 0.0445 memory: 18108 grad_norm: 3.9574 loss: 3.5313 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0629 top1_acc_1: 0.5412 top5_acc_1: 0.8353 loss_cls_1: 1.4684 2023/02/02 05:13:02 - mmengine - INFO - Epoch(train) [163][ 880/1879] lr: 3.7766e-02 eta: 1 day, 0:56:06 time: 0.5051 data_time: 0.0314 memory: 18108 grad_norm: 4.0031 loss: 3.5785 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0968 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.4818 2023/02/02 05:13:12 - mmengine - INFO - Epoch(train) [163][ 900/1879] lr: 3.7759e-02 eta: 1 day, 0:55:56 time: 0.5083 data_time: 0.0382 memory: 18108 grad_norm: 3.9573 loss: 3.6998 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.1982 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5017 2023/02/02 05:13:22 - mmengine - INFO - Epoch(train) [163][ 920/1879] lr: 3.7751e-02 eta: 1 day, 0:55:45 time: 0.5123 data_time: 0.0304 memory: 18108 grad_norm: 4.0196 loss: 3.3543 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.9152 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 1.4391 2023/02/02 05:13:32 - mmengine - INFO - Epoch(train) [163][ 940/1879] lr: 3.7744e-02 eta: 1 day, 0:55:35 time: 0.5100 data_time: 0.0390 memory: 18108 grad_norm: 4.0536 loss: 3.5638 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0451 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.5187 2023/02/02 05:13:43 - mmengine - INFO - Epoch(train) [163][ 960/1879] lr: 3.7737e-02 eta: 1 day, 0:55:25 time: 0.5086 data_time: 0.0310 memory: 18108 grad_norm: 4.0177 loss: 3.7297 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2070 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.5227 2023/02/02 05:13:53 - mmengine - INFO - Epoch(train) [163][ 980/1879] lr: 3.7729e-02 eta: 1 day, 0:55:15 time: 0.5176 data_time: 0.0392 memory: 18108 grad_norm: 4.1136 loss: 3.6094 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0748 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.5346 2023/02/02 05:14:03 - mmengine - INFO - Epoch(train) [163][1000/1879] lr: 3.7722e-02 eta: 1 day, 0:55:04 time: 0.5028 data_time: 0.0308 memory: 18108 grad_norm: 4.0503 loss: 3.7897 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2041 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.5855 2023/02/02 05:14:13 - mmengine - INFO - Epoch(train) [163][1020/1879] lr: 3.7715e-02 eta: 1 day, 0:54:54 time: 0.5075 data_time: 0.0370 memory: 18108 grad_norm: 4.1120 loss: 3.7927 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1587 top1_acc_1: 0.5765 top5_acc_1: 0.8941 loss_cls_1: 1.6339 2023/02/02 05:14:23 - mmengine - INFO - Epoch(train) [163][1040/1879] lr: 3.7707e-02 eta: 1 day, 0:54:44 time: 0.5113 data_time: 0.0307 memory: 18108 grad_norm: 3.9775 loss: 3.7991 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2189 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.5802 2023/02/02 05:14:34 - mmengine - INFO - Epoch(train) [163][1060/1879] lr: 3.7700e-02 eta: 1 day, 0:54:34 time: 0.5073 data_time: 0.0388 memory: 18108 grad_norm: 3.9571 loss: 3.7017 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2097 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.4921 2023/02/02 05:14:44 - mmengine - INFO - Epoch(train) [163][1080/1879] lr: 3.7693e-02 eta: 1 day, 0:54:23 time: 0.5003 data_time: 0.0292 memory: 18108 grad_norm: 4.0187 loss: 3.3131 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.8732 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4399 2023/02/02 05:14:54 - mmengine - INFO - Epoch(train) [163][1100/1879] lr: 3.7686e-02 eta: 1 day, 0:54:13 time: 0.5135 data_time: 0.0385 memory: 18108 grad_norm: 3.9186 loss: 3.5301 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9469 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.5832 2023/02/02 05:15:04 - mmengine - INFO - Epoch(train) [163][1120/1879] lr: 3.7678e-02 eta: 1 day, 0:54:03 time: 0.5097 data_time: 0.0377 memory: 18108 grad_norm: 4.0570 loss: 3.5303 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0970 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.4334 2023/02/02 05:15:14 - mmengine - INFO - Epoch(train) [163][1140/1879] lr: 3.7671e-02 eta: 1 day, 0:53:53 time: 0.5112 data_time: 0.0385 memory: 18108 grad_norm: 4.0517 loss: 3.6874 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0397 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.6476 2023/02/02 05:15:24 - mmengine - INFO - Epoch(train) [163][1160/1879] lr: 3.7664e-02 eta: 1 day, 0:53:42 time: 0.5046 data_time: 0.0322 memory: 18108 grad_norm: 4.0611 loss: 3.7231 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1470 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.5761 2023/02/02 05:15:35 - mmengine - INFO - Epoch(train) [163][1180/1879] lr: 3.7656e-02 eta: 1 day, 0:53:32 time: 0.5172 data_time: 0.0402 memory: 18108 grad_norm: 4.0450 loss: 3.6165 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0730 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.5435 2023/02/02 05:15:45 - mmengine - INFO - Epoch(train) [163][1200/1879] lr: 3.7649e-02 eta: 1 day, 0:53:22 time: 0.5031 data_time: 0.0358 memory: 18108 grad_norm: 4.0137 loss: 3.8612 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3666 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.4946 2023/02/02 05:15:55 - mmengine - INFO - Epoch(train) [163][1220/1879] lr: 3.7642e-02 eta: 1 day, 0:53:12 time: 0.5074 data_time: 0.0303 memory: 18108 grad_norm: 3.9581 loss: 3.5105 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0314 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.4791 2023/02/02 05:16:05 - mmengine - INFO - Epoch(train) [163][1240/1879] lr: 3.7634e-02 eta: 1 day, 0:53:02 time: 0.5162 data_time: 0.0435 memory: 18108 grad_norm: 4.0252 loss: 3.5182 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 1.9461 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.5721 2023/02/02 05:16:15 - mmengine - INFO - Epoch(train) [163][1260/1879] lr: 3.7627e-02 eta: 1 day, 0:52:51 time: 0.5012 data_time: 0.0317 memory: 18108 grad_norm: 3.9547 loss: 3.5412 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.0831 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.4582 2023/02/02 05:16:26 - mmengine - INFO - Epoch(train) [163][1280/1879] lr: 3.7620e-02 eta: 1 day, 0:52:41 time: 0.5085 data_time: 0.0350 memory: 18108 grad_norm: 4.0618 loss: 3.6092 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0186 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.5906 2023/02/02 05:16:36 - mmengine - INFO - Epoch(train) [163][1300/1879] lr: 3.7613e-02 eta: 1 day, 0:52:31 time: 0.5117 data_time: 0.0316 memory: 18108 grad_norm: 4.0623 loss: 3.7870 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1930 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.5941 2023/02/02 05:16:46 - mmengine - INFO - Epoch(train) [163][1320/1879] lr: 3.7605e-02 eta: 1 day, 0:52:21 time: 0.5190 data_time: 0.0426 memory: 18108 grad_norm: 4.0736 loss: 3.3712 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.9000 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.4713 2023/02/02 05:16:57 - mmengine - INFO - Epoch(train) [163][1340/1879] lr: 3.7598e-02 eta: 1 day, 0:52:11 time: 0.5121 data_time: 0.0326 memory: 18108 grad_norm: 4.0599 loss: 3.7315 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2459 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.4855 2023/02/02 05:17:07 - mmengine - INFO - Epoch(train) [163][1360/1879] lr: 3.7591e-02 eta: 1 day, 0:52:00 time: 0.4981 data_time: 0.0363 memory: 18108 grad_norm: 4.1756 loss: 3.7964 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.2473 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.5491 2023/02/02 05:17:17 - mmengine - INFO - Epoch(train) [163][1380/1879] lr: 3.7583e-02 eta: 1 day, 0:51:50 time: 0.5214 data_time: 0.0385 memory: 18108 grad_norm: 4.1130 loss: 3.7209 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.3103 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.4106 2023/02/02 05:17:27 - mmengine - INFO - Epoch(train) [163][1400/1879] lr: 3.7576e-02 eta: 1 day, 0:51:40 time: 0.5025 data_time: 0.0337 memory: 18108 grad_norm: 4.0445 loss: 3.5235 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.0406 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.4829 2023/02/02 05:17:37 - mmengine - INFO - Epoch(train) [163][1420/1879] lr: 3.7569e-02 eta: 1 day, 0:51:30 time: 0.5126 data_time: 0.0332 memory: 18108 grad_norm: 4.1024 loss: 3.6678 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.1541 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.5137 2023/02/02 05:17:48 - mmengine - INFO - Epoch(train) [163][1440/1879] lr: 3.7562e-02 eta: 1 day, 0:51:19 time: 0.5078 data_time: 0.0420 memory: 18108 grad_norm: 3.9550 loss: 3.9467 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3579 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.5889 2023/02/02 05:17:58 - mmengine - INFO - Epoch(train) [163][1460/1879] lr: 3.7554e-02 eta: 1 day, 0:51:09 time: 0.5030 data_time: 0.0327 memory: 18108 grad_norm: 3.9725 loss: 3.4961 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0645 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.4316 2023/02/02 05:18:08 - mmengine - INFO - Epoch(train) [163][1480/1879] lr: 3.7547e-02 eta: 1 day, 0:50:59 time: 0.5044 data_time: 0.0356 memory: 18108 grad_norm: 3.9430 loss: 3.4864 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9408 top1_acc_1: 0.6235 top5_acc_1: 0.8941 loss_cls_1: 1.5456 2023/02/02 05:18:18 - mmengine - INFO - Epoch(train) [163][1500/1879] lr: 3.7540e-02 eta: 1 day, 0:50:48 time: 0.5075 data_time: 0.0329 memory: 18108 grad_norm: 4.0504 loss: 3.9934 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3782 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.6152 2023/02/02 05:18:28 - mmengine - INFO - Epoch(train) [163][1520/1879] lr: 3.7532e-02 eta: 1 day, 0:50:38 time: 0.4976 data_time: 0.0338 memory: 18108 grad_norm: 3.9910 loss: 3.5537 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0859 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.4679 2023/02/02 05:18:38 - mmengine - INFO - Epoch(train) [163][1540/1879] lr: 3.7525e-02 eta: 1 day, 0:50:28 time: 0.5143 data_time: 0.0328 memory: 18108 grad_norm: 4.1121 loss: 3.8064 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.3062 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.5002 2023/02/02 05:18:48 - mmengine - INFO - Epoch(train) [163][1560/1879] lr: 3.7518e-02 eta: 1 day, 0:50:17 time: 0.4918 data_time: 0.0343 memory: 18108 grad_norm: 4.1116 loss: 3.7377 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.1149 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.6228 2023/02/02 05:18:58 - mmengine - INFO - Epoch(train) [163][1580/1879] lr: 3.7510e-02 eta: 1 day, 0:50:07 time: 0.5083 data_time: 0.0394 memory: 18108 grad_norm: 3.9974 loss: 3.6489 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.2123 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.4366 2023/02/02 05:19:08 - mmengine - INFO - Epoch(train) [163][1600/1879] lr: 3.7503e-02 eta: 1 day, 0:49:57 time: 0.4937 data_time: 0.0362 memory: 18108 grad_norm: 3.9388 loss: 3.7448 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2365 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.5082 2023/02/02 05:19:09 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 05:19:18 - mmengine - INFO - Epoch(train) [163][1620/1879] lr: 3.7496e-02 eta: 1 day, 0:49:46 time: 0.4907 data_time: 0.0311 memory: 18108 grad_norm: 3.9608 loss: 3.6055 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0613 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.5442 2023/02/02 05:19:28 - mmengine - INFO - Epoch(train) [163][1640/1879] lr: 3.7489e-02 eta: 1 day, 0:49:36 time: 0.4911 data_time: 0.0350 memory: 18108 grad_norm: 4.0353 loss: 3.7812 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.1794 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.6019 2023/02/02 05:19:38 - mmengine - INFO - Epoch(train) [163][1660/1879] lr: 3.7481e-02 eta: 1 day, 0:49:26 time: 0.5047 data_time: 0.0395 memory: 18108 grad_norm: 3.9484 loss: 3.6409 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1646 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.4763 2023/02/02 05:19:48 - mmengine - INFO - Epoch(train) [163][1680/1879] lr: 3.7474e-02 eta: 1 day, 0:49:15 time: 0.4976 data_time: 0.0338 memory: 18108 grad_norm: 3.8994 loss: 3.7616 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2653 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.4963 2023/02/02 05:19:58 - mmengine - INFO - Epoch(train) [163][1700/1879] lr: 3.7467e-02 eta: 1 day, 0:49:05 time: 0.4909 data_time: 0.0327 memory: 18108 grad_norm: 3.9786 loss: 3.6000 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0171 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 1.5829 2023/02/02 05:20:08 - mmengine - INFO - Epoch(train) [163][1720/1879] lr: 3.7459e-02 eta: 1 day, 0:48:55 time: 0.5112 data_time: 0.0386 memory: 18108 grad_norm: 3.9879 loss: 3.7171 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2130 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.5041 2023/02/02 05:20:18 - mmengine - INFO - Epoch(train) [163][1740/1879] lr: 3.7452e-02 eta: 1 day, 0:48:44 time: 0.5027 data_time: 0.0394 memory: 18108 grad_norm: 4.0868 loss: 3.9710 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.4299 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.5411 2023/02/02 05:20:28 - mmengine - INFO - Epoch(train) [163][1760/1879] lr: 3.7445e-02 eta: 1 day, 0:48:34 time: 0.4818 data_time: 0.0315 memory: 18108 grad_norm: 4.1047 loss: 3.7926 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2654 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.5272 2023/02/02 05:20:38 - mmengine - INFO - Epoch(train) [163][1780/1879] lr: 3.7438e-02 eta: 1 day, 0:48:23 time: 0.4985 data_time: 0.0356 memory: 18108 grad_norm: 3.8716 loss: 3.7420 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1363 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.6056 2023/02/02 05:20:48 - mmengine - INFO - Epoch(train) [163][1800/1879] lr: 3.7430e-02 eta: 1 day, 0:48:13 time: 0.4960 data_time: 0.0309 memory: 18108 grad_norm: 3.9018 loss: 3.6905 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1024 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.5880 2023/02/02 05:20:58 - mmengine - INFO - Epoch(train) [163][1820/1879] lr: 3.7423e-02 eta: 1 day, 0:48:03 time: 0.4982 data_time: 0.0355 memory: 18108 grad_norm: 3.9890 loss: 3.5953 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0530 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.5423 2023/02/02 05:21:07 - mmengine - INFO - Epoch(train) [163][1840/1879] lr: 3.7416e-02 eta: 1 day, 0:47:52 time: 0.4936 data_time: 0.0307 memory: 18108 grad_norm: 3.9590 loss: 3.7913 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2536 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.5377 2023/02/02 05:21:17 - mmengine - INFO - Epoch(train) [163][1860/1879] lr: 3.7408e-02 eta: 1 day, 0:47:42 time: 0.4909 data_time: 0.0421 memory: 18108 grad_norm: 4.0192 loss: 3.7468 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1795 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.5674 2023/02/02 05:21:26 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 05:21:26 - mmengine - INFO - Epoch(train) [163][1879/1879] lr: 3.7401e-02 eta: 1 day, 0:47:32 time: 0.4743 data_time: 0.0269 memory: 18108 grad_norm: 4.1146 loss: 3.7577 top1_acc_0: 0.2857 top5_acc_0: 0.4286 loss_cls_0: 2.2304 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.5273 2023/02/02 05:21:41 - mmengine - INFO - Epoch(train) [164][ 20/1879] lr: 3.7394e-02 eta: 1 day, 0:47:24 time: 0.7176 data_time: 0.2573 memory: 18108 grad_norm: 4.0329 loss: 3.5857 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.0890 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.4966 2023/02/02 05:21:51 - mmengine - INFO - Epoch(train) [164][ 40/1879] lr: 3.7387e-02 eta: 1 day, 0:47:13 time: 0.4782 data_time: 0.0320 memory: 18108 grad_norm: 3.9124 loss: 3.5784 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1729 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4056 2023/02/02 05:22:01 - mmengine - INFO - Epoch(train) [164][ 60/1879] lr: 3.7380e-02 eta: 1 day, 0:47:03 time: 0.4885 data_time: 0.0368 memory: 18108 grad_norm: 3.9803 loss: 3.6570 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.2543 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.4027 2023/02/02 05:22:11 - mmengine - INFO - Epoch(train) [164][ 80/1879] lr: 3.7372e-02 eta: 1 day, 0:46:53 time: 0.5166 data_time: 0.0304 memory: 18108 grad_norm: 3.9795 loss: 3.5535 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0789 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.4746 2023/02/02 05:22:21 - mmengine - INFO - Epoch(train) [164][ 100/1879] lr: 3.7365e-02 eta: 1 day, 0:46:42 time: 0.4798 data_time: 0.0356 memory: 18108 grad_norm: 3.9118 loss: 3.5422 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.0310 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.5112 2023/02/02 05:22:30 - mmengine - INFO - Epoch(train) [164][ 120/1879] lr: 3.7358e-02 eta: 1 day, 0:46:31 time: 0.4728 data_time: 0.0320 memory: 18108 grad_norm: 3.9942 loss: 3.6427 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.1395 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.5033 2023/02/02 05:22:40 - mmengine - INFO - Epoch(train) [164][ 140/1879] lr: 3.7350e-02 eta: 1 day, 0:46:21 time: 0.4986 data_time: 0.0379 memory: 18108 grad_norm: 4.0389 loss: 3.5644 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1149 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.4495 2023/02/02 05:22:50 - mmengine - INFO - Epoch(train) [164][ 160/1879] lr: 3.7343e-02 eta: 1 day, 0:46:11 time: 0.4990 data_time: 0.0386 memory: 18108 grad_norm: 3.9765 loss: 3.7533 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2429 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.5105 2023/02/02 05:23:00 - mmengine - INFO - Epoch(train) [164][ 180/1879] lr: 3.7336e-02 eta: 1 day, 0:46:00 time: 0.4738 data_time: 0.0355 memory: 18108 grad_norm: 3.9960 loss: 3.5382 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.0305 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.5077 2023/02/02 05:23:09 - mmengine - INFO - Epoch(train) [164][ 200/1879] lr: 3.7329e-02 eta: 1 day, 0:45:50 time: 0.4823 data_time: 0.0315 memory: 18108 grad_norm: 4.0386 loss: 3.5905 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0957 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.4948 2023/02/02 05:23:20 - mmengine - INFO - Epoch(train) [164][ 220/1879] lr: 3.7321e-02 eta: 1 day, 0:45:39 time: 0.5118 data_time: 0.0365 memory: 18108 grad_norm: 4.1783 loss: 3.6699 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.1396 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.5304 2023/02/02 05:23:30 - mmengine - INFO - Epoch(train) [164][ 240/1879] lr: 3.7314e-02 eta: 1 day, 0:45:29 time: 0.5027 data_time: 0.0303 memory: 18108 grad_norm: 4.0785 loss: 3.5329 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0274 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.5055 2023/02/02 05:23:40 - mmengine - INFO - Epoch(train) [164][ 260/1879] lr: 3.7307e-02 eta: 1 day, 0:45:19 time: 0.5154 data_time: 0.0336 memory: 18108 grad_norm: 4.0834 loss: 3.4847 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.0082 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.4766 2023/02/02 05:23:50 - mmengine - INFO - Epoch(train) [164][ 280/1879] lr: 3.7299e-02 eta: 1 day, 0:45:09 time: 0.5274 data_time: 0.0387 memory: 18108 grad_norm: 3.9950 loss: 3.7430 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2485 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.4946 2023/02/02 05:24:01 - mmengine - INFO - Epoch(train) [164][ 300/1879] lr: 3.7292e-02 eta: 1 day, 0:44:59 time: 0.5298 data_time: 0.0430 memory: 18108 grad_norm: 3.9782 loss: 3.6564 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.1669 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.4894 2023/02/02 05:24:12 - mmengine - INFO - Epoch(train) [164][ 320/1879] lr: 3.7285e-02 eta: 1 day, 0:44:49 time: 0.5202 data_time: 0.0389 memory: 18108 grad_norm: 3.9336 loss: 3.8244 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2968 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.5275 2023/02/02 05:24:22 - mmengine - INFO - Epoch(train) [164][ 340/1879] lr: 3.7278e-02 eta: 1 day, 0:44:39 time: 0.5284 data_time: 0.0314 memory: 18108 grad_norm: 4.0404 loss: 3.5777 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.1038 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.4739 2023/02/02 05:24:33 - mmengine - INFO - Epoch(train) [164][ 360/1879] lr: 3.7270e-02 eta: 1 day, 0:44:29 time: 0.5389 data_time: 0.0502 memory: 18108 grad_norm: 4.0402 loss: 3.6822 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.1396 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.5425 2023/02/02 05:24:43 - mmengine - INFO - Epoch(train) [164][ 380/1879] lr: 3.7263e-02 eta: 1 day, 0:44:19 time: 0.5011 data_time: 0.0319 memory: 18108 grad_norm: 4.1403 loss: 3.7354 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2405 top1_acc_1: 0.6706 top5_acc_1: 0.8000 loss_cls_1: 1.4949 2023/02/02 05:24:53 - mmengine - INFO - Epoch(train) [164][ 400/1879] lr: 3.7256e-02 eta: 1 day, 0:44:08 time: 0.5131 data_time: 0.0380 memory: 18108 grad_norm: 3.9849 loss: 3.5541 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0601 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.4940 2023/02/02 05:25:04 - mmengine - INFO - Epoch(train) [164][ 420/1879] lr: 3.7248e-02 eta: 1 day, 0:43:58 time: 0.5140 data_time: 0.0303 memory: 18108 grad_norm: 4.0772 loss: 3.7014 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1309 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.5704 2023/02/02 05:25:14 - mmengine - INFO - Epoch(train) [164][ 440/1879] lr: 3.7241e-02 eta: 1 day, 0:43:48 time: 0.5177 data_time: 0.0428 memory: 18108 grad_norm: 4.0413 loss: 3.7476 top1_acc_0: 0.2500 top5_acc_0: 0.3125 loss_cls_0: 2.3156 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.4321 2023/02/02 05:25:24 - mmengine - INFO - Epoch(train) [164][ 460/1879] lr: 3.7234e-02 eta: 1 day, 0:43:38 time: 0.5076 data_time: 0.0333 memory: 18108 grad_norm: 4.0689 loss: 3.5813 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1002 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.4810 2023/02/02 05:25:34 - mmengine - INFO - Epoch(train) [164][ 480/1879] lr: 3.7227e-02 eta: 1 day, 0:43:28 time: 0.5055 data_time: 0.0344 memory: 18108 grad_norm: 4.0138 loss: 3.5937 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.0930 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.5007 2023/02/02 05:25:45 - mmengine - INFO - Epoch(train) [164][ 500/1879] lr: 3.7219e-02 eta: 1 day, 0:43:17 time: 0.5230 data_time: 0.0447 memory: 18108 grad_norm: 4.0338 loss: 3.5893 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1365 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.4528 2023/02/02 05:25:55 - mmengine - INFO - Epoch(train) [164][ 520/1879] lr: 3.7212e-02 eta: 1 day, 0:43:07 time: 0.5039 data_time: 0.0342 memory: 18108 grad_norm: 4.0376 loss: 3.8979 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3953 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.5026 2023/02/02 05:26:05 - mmengine - INFO - Epoch(train) [164][ 540/1879] lr: 3.7205e-02 eta: 1 day, 0:42:57 time: 0.5047 data_time: 0.0321 memory: 18108 grad_norm: 4.0316 loss: 3.7524 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1329 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.6195 2023/02/02 05:26:15 - mmengine - INFO - Epoch(train) [164][ 560/1879] lr: 3.7198e-02 eta: 1 day, 0:42:47 time: 0.4975 data_time: 0.0291 memory: 18108 grad_norm: 4.0400 loss: 3.6112 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1267 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.4846 2023/02/02 05:26:25 - mmengine - INFO - Epoch(train) [164][ 580/1879] lr: 3.7190e-02 eta: 1 day, 0:42:36 time: 0.5115 data_time: 0.0437 memory: 18108 grad_norm: 4.0562 loss: 3.7120 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.1451 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.5668 2023/02/02 05:26:35 - mmengine - INFO - Epoch(train) [164][ 600/1879] lr: 3.7183e-02 eta: 1 day, 0:42:26 time: 0.4998 data_time: 0.0304 memory: 18108 grad_norm: 4.0137 loss: 3.5054 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1009 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.4045 2023/02/02 05:26:45 - mmengine - INFO - Epoch(train) [164][ 620/1879] lr: 3.7176e-02 eta: 1 day, 0:42:16 time: 0.5122 data_time: 0.0386 memory: 18108 grad_norm: 4.0517 loss: 3.7878 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.2819 top1_acc_1: 0.7176 top5_acc_1: 0.8118 loss_cls_1: 1.5060 2023/02/02 05:26:55 - mmengine - INFO - Epoch(train) [164][ 640/1879] lr: 3.7168e-02 eta: 1 day, 0:42:05 time: 0.4972 data_time: 0.0319 memory: 18108 grad_norm: 3.9894 loss: 3.5122 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.0808 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.4315 2023/02/02 05:27:06 - mmengine - INFO - Epoch(train) [164][ 660/1879] lr: 3.7161e-02 eta: 1 day, 0:41:55 time: 0.5251 data_time: 0.0382 memory: 18108 grad_norm: 3.9459 loss: 3.5757 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1474 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4282 2023/02/02 05:27:16 - mmengine - INFO - Epoch(train) [164][ 680/1879] lr: 3.7154e-02 eta: 1 day, 0:41:45 time: 0.4911 data_time: 0.0308 memory: 18108 grad_norm: 4.0029 loss: 3.7773 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.3211 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.4562 2023/02/02 05:27:26 - mmengine - INFO - Epoch(train) [164][ 700/1879] lr: 3.7147e-02 eta: 1 day, 0:41:35 time: 0.5184 data_time: 0.0452 memory: 18108 grad_norm: 4.0653 loss: 3.6012 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0829 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.5183 2023/02/02 05:27:36 - mmengine - INFO - Epoch(train) [164][ 720/1879] lr: 3.7139e-02 eta: 1 day, 0:41:25 time: 0.5054 data_time: 0.0334 memory: 18108 grad_norm: 3.9955 loss: 3.5377 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.0360 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.5017 2023/02/02 05:27:38 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 05:27:47 - mmengine - INFO - Epoch(train) [164][ 740/1879] lr: 3.7132e-02 eta: 1 day, 0:41:14 time: 0.5231 data_time: 0.0355 memory: 18108 grad_norm: 4.0292 loss: 3.6431 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1171 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.5261 2023/02/02 05:27:57 - mmengine - INFO - Epoch(train) [164][ 760/1879] lr: 3.7125e-02 eta: 1 day, 0:41:04 time: 0.4925 data_time: 0.0303 memory: 18108 grad_norm: 3.9941 loss: 3.5532 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0570 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.4962 2023/02/02 05:28:07 - mmengine - INFO - Epoch(train) [164][ 780/1879] lr: 3.7117e-02 eta: 1 day, 0:40:54 time: 0.5117 data_time: 0.0463 memory: 18108 grad_norm: 4.0654 loss: 3.7514 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2215 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.5299 2023/02/02 05:28:17 - mmengine - INFO - Epoch(train) [164][ 800/1879] lr: 3.7110e-02 eta: 1 day, 0:40:44 time: 0.5099 data_time: 0.0321 memory: 18108 grad_norm: 4.0295 loss: 3.7942 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2662 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.5280 2023/02/02 05:28:27 - mmengine - INFO - Epoch(train) [164][ 820/1879] lr: 3.7103e-02 eta: 1 day, 0:40:33 time: 0.5102 data_time: 0.0363 memory: 18108 grad_norm: 4.0799 loss: 3.5536 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1017 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.4519 2023/02/02 05:28:37 - mmengine - INFO - Epoch(train) [164][ 840/1879] lr: 3.7096e-02 eta: 1 day, 0:40:23 time: 0.4985 data_time: 0.0315 memory: 18108 grad_norm: 3.9942 loss: 3.7017 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1898 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.5119 2023/02/02 05:28:48 - mmengine - INFO - Epoch(train) [164][ 860/1879] lr: 3.7088e-02 eta: 1 day, 0:40:13 time: 0.5180 data_time: 0.0370 memory: 18108 grad_norm: 4.0546 loss: 3.6404 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1127 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.5277 2023/02/02 05:28:58 - mmengine - INFO - Epoch(train) [164][ 880/1879] lr: 3.7081e-02 eta: 1 day, 0:40:03 time: 0.5096 data_time: 0.0313 memory: 18108 grad_norm: 4.0099 loss: 3.6401 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1742 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.4659 2023/02/02 05:29:08 - mmengine - INFO - Epoch(train) [164][ 900/1879] lr: 3.7074e-02 eta: 1 day, 0:39:52 time: 0.4976 data_time: 0.0380 memory: 18108 grad_norm: 4.0046 loss: 3.4679 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0259 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.4420 2023/02/02 05:29:18 - mmengine - INFO - Epoch(train) [164][ 920/1879] lr: 3.7067e-02 eta: 1 day, 0:39:42 time: 0.5065 data_time: 0.0378 memory: 18108 grad_norm: 3.9658 loss: 3.4533 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.0017 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.4516 2023/02/02 05:29:28 - mmengine - INFO - Epoch(train) [164][ 940/1879] lr: 3.7059e-02 eta: 1 day, 0:39:32 time: 0.5213 data_time: 0.0369 memory: 18108 grad_norm: 4.0177 loss: 3.7084 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.1583 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.5502 2023/02/02 05:29:38 - mmengine - INFO - Epoch(train) [164][ 960/1879] lr: 3.7052e-02 eta: 1 day, 0:39:22 time: 0.4947 data_time: 0.0309 memory: 18108 grad_norm: 4.0086 loss: 3.4485 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.9412 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5073 2023/02/02 05:29:48 - mmengine - INFO - Epoch(train) [164][ 980/1879] lr: 3.7045e-02 eta: 1 day, 0:39:11 time: 0.5042 data_time: 0.0348 memory: 18108 grad_norm: 3.9322 loss: 3.8396 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2052 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 1.6343 2023/02/02 05:29:59 - mmengine - INFO - Epoch(train) [164][1000/1879] lr: 3.7037e-02 eta: 1 day, 0:39:01 time: 0.5131 data_time: 0.0335 memory: 18108 grad_norm: 4.0632 loss: 3.5549 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1590 top1_acc_1: 0.5529 top5_acc_1: 0.8824 loss_cls_1: 1.3959 2023/02/02 05:30:09 - mmengine - INFO - Epoch(train) [164][1020/1879] lr: 3.7030e-02 eta: 1 day, 0:38:51 time: 0.5149 data_time: 0.0340 memory: 18108 grad_norm: 4.0940 loss: 3.6898 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.2239 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.4659 2023/02/02 05:30:19 - mmengine - INFO - Epoch(train) [164][1040/1879] lr: 3.7023e-02 eta: 1 day, 0:38:40 time: 0.4918 data_time: 0.0354 memory: 18108 grad_norm: 4.0583 loss: 3.7027 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1848 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.5179 2023/02/02 05:30:29 - mmengine - INFO - Epoch(train) [164][1060/1879] lr: 3.7016e-02 eta: 1 day, 0:38:30 time: 0.5168 data_time: 0.0397 memory: 18108 grad_norm: 4.0419 loss: 3.6029 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1509 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.4521 2023/02/02 05:30:39 - mmengine - INFO - Epoch(train) [164][1080/1879] lr: 3.7008e-02 eta: 1 day, 0:38:20 time: 0.5102 data_time: 0.0368 memory: 18108 grad_norm: 3.9420 loss: 3.6565 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1410 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.5155 2023/02/02 05:30:50 - mmengine - INFO - Epoch(train) [164][1100/1879] lr: 3.7001e-02 eta: 1 day, 0:38:10 time: 0.5056 data_time: 0.0298 memory: 18108 grad_norm: 4.0291 loss: 3.7087 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1885 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.5201 2023/02/02 05:31:00 - mmengine - INFO - Epoch(train) [164][1120/1879] lr: 3.6994e-02 eta: 1 day, 0:37:59 time: 0.5008 data_time: 0.0355 memory: 18108 grad_norm: 3.9977 loss: 3.7493 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2705 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.4788 2023/02/02 05:31:10 - mmengine - INFO - Epoch(train) [164][1140/1879] lr: 3.6986e-02 eta: 1 day, 0:37:49 time: 0.5223 data_time: 0.0305 memory: 18108 grad_norm: 3.8971 loss: 3.4740 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0011 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.4729 2023/02/02 05:31:20 - mmengine - INFO - Epoch(train) [164][1160/1879] lr: 3.6979e-02 eta: 1 day, 0:37:39 time: 0.5120 data_time: 0.0378 memory: 18108 grad_norm: 4.0400 loss: 3.9056 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.3911 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.5145 2023/02/02 05:31:30 - mmengine - INFO - Epoch(train) [164][1180/1879] lr: 3.6972e-02 eta: 1 day, 0:37:29 time: 0.5010 data_time: 0.0320 memory: 18108 grad_norm: 3.9609 loss: 3.6092 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 1.9798 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.6294 2023/02/02 05:31:41 - mmengine - INFO - Epoch(train) [164][1200/1879] lr: 3.6965e-02 eta: 1 day, 0:37:19 time: 0.5163 data_time: 0.0386 memory: 18108 grad_norm: 3.8830 loss: 3.3439 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7916 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.5523 2023/02/02 05:31:51 - mmengine - INFO - Epoch(train) [164][1220/1879] lr: 3.6957e-02 eta: 1 day, 0:37:08 time: 0.5095 data_time: 0.0310 memory: 18108 grad_norm: 4.0623 loss: 3.7317 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1113 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.6204 2023/02/02 05:32:01 - mmengine - INFO - Epoch(train) [164][1240/1879] lr: 3.6950e-02 eta: 1 day, 0:36:58 time: 0.5054 data_time: 0.0377 memory: 18108 grad_norm: 4.0818 loss: 3.9506 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.4641 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.4865 2023/02/02 05:32:11 - mmengine - INFO - Epoch(train) [164][1260/1879] lr: 3.6943e-02 eta: 1 day, 0:36:48 time: 0.5058 data_time: 0.0308 memory: 18108 grad_norm: 4.0573 loss: 3.6519 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1048 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.5471 2023/02/02 05:32:22 - mmengine - INFO - Epoch(train) [164][1280/1879] lr: 3.6936e-02 eta: 1 day, 0:36:38 time: 0.5226 data_time: 0.0444 memory: 18108 grad_norm: 4.0474 loss: 3.6960 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2045 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.4915 2023/02/02 05:32:32 - mmengine - INFO - Epoch(train) [164][1300/1879] lr: 3.6928e-02 eta: 1 day, 0:36:28 time: 0.5231 data_time: 0.0312 memory: 18108 grad_norm: 4.0690 loss: 3.5232 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 1.9960 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.5271 2023/02/02 05:32:42 - mmengine - INFO - Epoch(train) [164][1320/1879] lr: 3.6921e-02 eta: 1 day, 0:36:17 time: 0.5013 data_time: 0.0370 memory: 18108 grad_norm: 4.0209 loss: 3.6257 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1325 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.4933 2023/02/02 05:32:53 - mmengine - INFO - Epoch(train) [164][1340/1879] lr: 3.6914e-02 eta: 1 day, 0:36:08 time: 0.5374 data_time: 0.0390 memory: 18108 grad_norm: 3.9868 loss: 3.7223 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1808 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.5415 2023/02/02 05:33:03 - mmengine - INFO - Epoch(train) [164][1360/1879] lr: 3.6907e-02 eta: 1 day, 0:35:57 time: 0.5143 data_time: 0.0372 memory: 18108 grad_norm: 4.0819 loss: 3.7852 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.2897 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.4955 2023/02/02 05:33:13 - mmengine - INFO - Epoch(train) [164][1380/1879] lr: 3.6899e-02 eta: 1 day, 0:35:47 time: 0.5104 data_time: 0.0315 memory: 18108 grad_norm: 3.9766 loss: 3.4363 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.9313 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.5050 2023/02/02 05:33:24 - mmengine - INFO - Epoch(train) [164][1400/1879] lr: 3.6892e-02 eta: 1 day, 0:35:37 time: 0.5346 data_time: 0.0376 memory: 18108 grad_norm: 4.0047 loss: 3.4638 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0417 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.4221 2023/02/02 05:33:35 - mmengine - INFO - Epoch(train) [164][1420/1879] lr: 3.6885e-02 eta: 1 day, 0:35:27 time: 0.5217 data_time: 0.0323 memory: 18108 grad_norm: 3.9605 loss: 3.6154 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0072 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.6082 2023/02/02 05:33:45 - mmengine - INFO - Epoch(train) [164][1440/1879] lr: 3.6877e-02 eta: 1 day, 0:35:17 time: 0.5188 data_time: 0.0369 memory: 18108 grad_norm: 4.0347 loss: 3.7988 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2702 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5286 2023/02/02 05:33:56 - mmengine - INFO - Epoch(train) [164][1460/1879] lr: 3.6870e-02 eta: 1 day, 0:35:07 time: 0.5236 data_time: 0.0310 memory: 18108 grad_norm: 4.0527 loss: 3.8287 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2572 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.5715 2023/02/02 05:34:06 - mmengine - INFO - Epoch(train) [164][1480/1879] lr: 3.6863e-02 eta: 1 day, 0:34:57 time: 0.5174 data_time: 0.0370 memory: 18108 grad_norm: 3.9453 loss: 3.5195 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0217 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.4977 2023/02/02 05:34:16 - mmengine - INFO - Epoch(train) [164][1500/1879] lr: 3.6856e-02 eta: 1 day, 0:34:47 time: 0.5254 data_time: 0.0300 memory: 18108 grad_norm: 4.1276 loss: 3.7081 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2252 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.4829 2023/02/02 05:34:27 - mmengine - INFO - Epoch(train) [164][1520/1879] lr: 3.6848e-02 eta: 1 day, 0:34:37 time: 0.5179 data_time: 0.0373 memory: 18108 grad_norm: 4.0991 loss: 3.7368 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2120 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5249 2023/02/02 05:34:37 - mmengine - INFO - Epoch(train) [164][1540/1879] lr: 3.6841e-02 eta: 1 day, 0:34:27 time: 0.5272 data_time: 0.0318 memory: 18108 grad_norm: 4.1331 loss: 3.7320 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1610 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5710 2023/02/02 05:34:48 - mmengine - INFO - Epoch(train) [164][1560/1879] lr: 3.6834e-02 eta: 1 day, 0:34:16 time: 0.5133 data_time: 0.0361 memory: 18108 grad_norm: 4.0201 loss: 3.6183 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.1343 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.4840 2023/02/02 05:34:58 - mmengine - INFO - Epoch(train) [164][1580/1879] lr: 3.6827e-02 eta: 1 day, 0:34:06 time: 0.5125 data_time: 0.0315 memory: 18108 grad_norm: 4.0249 loss: 3.6974 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1465 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.5509 2023/02/02 05:35:08 - mmengine - INFO - Epoch(train) [164][1600/1879] lr: 3.6819e-02 eta: 1 day, 0:33:56 time: 0.5201 data_time: 0.0371 memory: 18108 grad_norm: 4.0230 loss: 3.5281 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9307 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.5974 2023/02/02 05:35:18 - mmengine - INFO - Epoch(train) [164][1620/1879] lr: 3.6812e-02 eta: 1 day, 0:33:46 time: 0.4997 data_time: 0.0320 memory: 18108 grad_norm: 4.0563 loss: 3.7242 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2106 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.5136 2023/02/02 05:35:29 - mmengine - INFO - Epoch(train) [164][1640/1879] lr: 3.6805e-02 eta: 1 day, 0:33:36 time: 0.5177 data_time: 0.0445 memory: 18108 grad_norm: 4.0262 loss: 3.7178 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1999 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.5179 2023/02/02 05:35:39 - mmengine - INFO - Epoch(train) [164][1660/1879] lr: 3.6798e-02 eta: 1 day, 0:33:25 time: 0.5047 data_time: 0.0316 memory: 18108 grad_norm: 3.9927 loss: 3.6161 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0856 top1_acc_1: 0.5529 top5_acc_1: 0.8706 loss_cls_1: 1.5305 2023/02/02 05:35:49 - mmengine - INFO - Epoch(train) [164][1680/1879] lr: 3.6790e-02 eta: 1 day, 0:33:15 time: 0.5314 data_time: 0.0377 memory: 18108 grad_norm: 4.0232 loss: 3.6211 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1215 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.4996 2023/02/02 05:35:59 - mmengine - INFO - Epoch(train) [164][1700/1879] lr: 3.6783e-02 eta: 1 day, 0:33:05 time: 0.4993 data_time: 0.0296 memory: 18108 grad_norm: 3.9720 loss: 3.7064 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.2315 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.4749 2023/02/02 05:36:10 - mmengine - INFO - Epoch(train) [164][1720/1879] lr: 3.6776e-02 eta: 1 day, 0:32:55 time: 0.5398 data_time: 0.0504 memory: 18108 grad_norm: 3.9576 loss: 3.6744 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1467 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.5277 2023/02/02 05:36:12 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 05:36:21 - mmengine - INFO - Epoch(train) [164][1740/1879] lr: 3.6768e-02 eta: 1 day, 0:32:45 time: 0.5208 data_time: 0.0322 memory: 18108 grad_norm: 4.0537 loss: 3.5221 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0029 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.5192 2023/02/02 05:36:31 - mmengine - INFO - Epoch(train) [164][1760/1879] lr: 3.6761e-02 eta: 1 day, 0:32:35 time: 0.4950 data_time: 0.0361 memory: 18108 grad_norm: 4.0862 loss: 3.5355 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0741 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.4614 2023/02/02 05:36:41 - mmengine - INFO - Epoch(train) [164][1780/1879] lr: 3.6754e-02 eta: 1 day, 0:32:25 time: 0.5223 data_time: 0.0410 memory: 18108 grad_norm: 3.9894 loss: 3.6716 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1535 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.5181 2023/02/02 05:36:51 - mmengine - INFO - Epoch(train) [164][1800/1879] lr: 3.6747e-02 eta: 1 day, 0:32:14 time: 0.5171 data_time: 0.0399 memory: 18108 grad_norm: 4.0816 loss: 3.7143 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2017 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.5126 2023/02/02 05:37:02 - mmengine - INFO - Epoch(train) [164][1820/1879] lr: 3.6739e-02 eta: 1 day, 0:32:04 time: 0.5098 data_time: 0.0307 memory: 18108 grad_norm: 4.0813 loss: 3.7962 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2616 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5346 2023/02/02 05:37:12 - mmengine - INFO - Epoch(train) [164][1840/1879] lr: 3.6732e-02 eta: 1 day, 0:31:54 time: 0.5017 data_time: 0.0387 memory: 18108 grad_norm: 4.0899 loss: 3.6299 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1622 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.4677 2023/02/02 05:37:22 - mmengine - INFO - Epoch(train) [164][1860/1879] lr: 3.6725e-02 eta: 1 day, 0:31:44 time: 0.5290 data_time: 0.0305 memory: 18108 grad_norm: 4.0780 loss: 3.8365 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3139 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.5225 2023/02/02 05:37:32 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 05:37:32 - mmengine - INFO - Epoch(train) [164][1879/1879] lr: 3.6718e-02 eta: 1 day, 0:31:34 time: 0.5009 data_time: 0.0291 memory: 18108 grad_norm: 4.1401 loss: 3.8330 top1_acc_0: 0.1429 top5_acc_0: 0.8571 loss_cls_0: 2.2863 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.5467 2023/02/02 05:37:32 - mmengine - INFO - Saving checkpoint at 164 epochs 2023/02/02 05:37:43 - mmengine - INFO - Epoch(val) [164][ 20/155] eta: 0:01:01 time: 0.4529 data_time: 0.3399 memory: 1906 2023/02/02 05:37:52 - mmengine - INFO - Epoch(val) [164][ 40/155] eta: 0:00:51 time: 0.4455 data_time: 0.3345 memory: 1906 2023/02/02 05:38:00 - mmengine - INFO - Epoch(val) [164][ 60/155] eta: 0:00:41 time: 0.4177 data_time: 0.3071 memory: 1906 2023/02/02 05:38:09 - mmengine - INFO - Epoch(val) [164][ 80/155] eta: 0:00:33 time: 0.4581 data_time: 0.3455 memory: 1906 2023/02/02 05:38:18 - mmengine - INFO - Epoch(val) [164][100/155] eta: 0:00:24 time: 0.4461 data_time: 0.3345 memory: 1906 2023/02/02 05:38:28 - mmengine - INFO - Epoch(val) [164][120/155] eta: 0:00:15 time: 0.4587 data_time: 0.3475 memory: 1906 2023/02/02 05:38:36 - mmengine - INFO - Epoch(val) [164][140/155] eta: 0:00:06 time: 0.4358 data_time: 0.3247 memory: 1906 2023/02/02 05:38:44 - mmengine - INFO - Epoch(val) [164][155/155] acc/top1: 0.5560 acc/top5: 0.7935 acc/mean1: 0.5561 2023/02/02 05:38:59 - mmengine - INFO - Epoch(train) [165][ 20/1879] lr: 3.6711e-02 eta: 1 day, 0:31:26 time: 0.7366 data_time: 0.2707 memory: 18108 grad_norm: 3.9527 loss: 3.6167 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1720 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.4447 2023/02/02 05:39:08 - mmengine - INFO - Epoch(train) [165][ 40/1879] lr: 3.6703e-02 eta: 1 day, 0:31:16 time: 0.4825 data_time: 0.0317 memory: 18108 grad_norm: 3.9709 loss: 3.4082 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 1.9521 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.4561 2023/02/02 05:39:18 - mmengine - INFO - Epoch(train) [165][ 60/1879] lr: 3.6696e-02 eta: 1 day, 0:31:05 time: 0.4843 data_time: 0.0367 memory: 18108 grad_norm: 3.9527 loss: 3.6858 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.1741 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.5116 2023/02/02 05:39:29 - mmengine - INFO - Epoch(train) [165][ 80/1879] lr: 3.6689e-02 eta: 1 day, 0:30:55 time: 0.5334 data_time: 0.0296 memory: 18108 grad_norm: 4.0799 loss: 3.7715 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2385 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.5330 2023/02/02 05:39:38 - mmengine - INFO - Epoch(train) [165][ 100/1879] lr: 3.6682e-02 eta: 1 day, 0:30:45 time: 0.4865 data_time: 0.0366 memory: 18108 grad_norm: 4.0705 loss: 3.8855 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.3613 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.5242 2023/02/02 05:39:48 - mmengine - INFO - Epoch(train) [165][ 120/1879] lr: 3.6674e-02 eta: 1 day, 0:30:34 time: 0.4800 data_time: 0.0324 memory: 18108 grad_norm: 4.0081 loss: 3.5035 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0070 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.4965 2023/02/02 05:39:58 - mmengine - INFO - Epoch(train) [165][ 140/1879] lr: 3.6667e-02 eta: 1 day, 0:30:24 time: 0.5168 data_time: 0.0451 memory: 18108 grad_norm: 4.0152 loss: 3.6468 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1635 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.4833 2023/02/02 05:40:09 - mmengine - INFO - Epoch(train) [165][ 160/1879] lr: 3.6660e-02 eta: 1 day, 0:30:14 time: 0.5120 data_time: 0.0301 memory: 18108 grad_norm: 3.9796 loss: 3.4771 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0116 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.4655 2023/02/02 05:40:19 - mmengine - INFO - Epoch(train) [165][ 180/1879] lr: 3.6653e-02 eta: 1 day, 0:30:03 time: 0.4994 data_time: 0.0397 memory: 18108 grad_norm: 4.1919 loss: 3.6834 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1297 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5537 2023/02/02 05:40:29 - mmengine - INFO - Epoch(train) [165][ 200/1879] lr: 3.6645e-02 eta: 1 day, 0:29:53 time: 0.4980 data_time: 0.0292 memory: 18108 grad_norm: 4.0603 loss: 3.5803 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0514 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5289 2023/02/02 05:40:39 - mmengine - INFO - Epoch(train) [165][ 220/1879] lr: 3.6638e-02 eta: 1 day, 0:29:43 time: 0.5365 data_time: 0.0463 memory: 18108 grad_norm: 4.0322 loss: 4.0081 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4669 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.5412 2023/02/02 05:40:49 - mmengine - INFO - Epoch(train) [165][ 240/1879] lr: 3.6631e-02 eta: 1 day, 0:29:33 time: 0.4979 data_time: 0.0323 memory: 18108 grad_norm: 4.0226 loss: 3.5959 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.1001 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.4958 2023/02/02 05:40:59 - mmengine - INFO - Epoch(train) [165][ 260/1879] lr: 3.6624e-02 eta: 1 day, 0:29:23 time: 0.5010 data_time: 0.0380 memory: 18108 grad_norm: 4.0853 loss: 3.5241 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.0549 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.4693 2023/02/02 05:41:10 - mmengine - INFO - Epoch(train) [165][ 280/1879] lr: 3.6616e-02 eta: 1 day, 0:29:12 time: 0.5184 data_time: 0.0362 memory: 18108 grad_norm: 4.0948 loss: 3.3744 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9165 top1_acc_1: 0.6000 top5_acc_1: 0.8941 loss_cls_1: 1.4579 2023/02/02 05:41:20 - mmengine - INFO - Epoch(train) [165][ 300/1879] lr: 3.6609e-02 eta: 1 day, 0:29:02 time: 0.5268 data_time: 0.0413 memory: 18108 grad_norm: 4.1249 loss: 3.4155 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9608 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.4547 2023/02/02 05:41:30 - mmengine - INFO - Epoch(train) [165][ 320/1879] lr: 3.6602e-02 eta: 1 day, 0:28:52 time: 0.4904 data_time: 0.0299 memory: 18108 grad_norm: 4.1021 loss: 3.6271 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.0459 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.5812 2023/02/02 05:41:40 - mmengine - INFO - Epoch(train) [165][ 340/1879] lr: 3.6595e-02 eta: 1 day, 0:28:42 time: 0.5156 data_time: 0.0448 memory: 18108 grad_norm: 4.0235 loss: 3.5598 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0423 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.5175 2023/02/02 05:41:51 - mmengine - INFO - Epoch(train) [165][ 360/1879] lr: 3.6587e-02 eta: 1 day, 0:28:32 time: 0.5210 data_time: 0.0304 memory: 18108 grad_norm: 4.0598 loss: 3.7398 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2491 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.4907 2023/02/02 05:42:01 - mmengine - INFO - Epoch(train) [165][ 380/1879] lr: 3.6580e-02 eta: 1 day, 0:28:21 time: 0.5083 data_time: 0.0351 memory: 18108 grad_norm: 4.0626 loss: 3.5868 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1092 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.4776 2023/02/02 05:42:11 - mmengine - INFO - Epoch(train) [165][ 400/1879] lr: 3.6573e-02 eta: 1 day, 0:28:11 time: 0.5155 data_time: 0.0404 memory: 18108 grad_norm: 4.0106 loss: 3.6083 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1539 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.4544 2023/02/02 05:42:22 - mmengine - INFO - Epoch(train) [165][ 420/1879] lr: 3.6566e-02 eta: 1 day, 0:28:01 time: 0.5242 data_time: 0.0329 memory: 18108 grad_norm: 4.0130 loss: 3.7696 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2208 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.5488 2023/02/02 05:42:32 - mmengine - INFO - Epoch(train) [165][ 440/1879] lr: 3.6558e-02 eta: 1 day, 0:27:51 time: 0.5267 data_time: 0.0339 memory: 18108 grad_norm: 4.0252 loss: 3.5002 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0015 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.4987 2023/02/02 05:42:43 - mmengine - INFO - Epoch(train) [165][ 460/1879] lr: 3.6551e-02 eta: 1 day, 0:27:41 time: 0.5073 data_time: 0.0333 memory: 18108 grad_norm: 3.9709 loss: 3.5101 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.0506 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.4595 2023/02/02 05:42:53 - mmengine - INFO - Epoch(train) [165][ 480/1879] lr: 3.6544e-02 eta: 1 day, 0:27:31 time: 0.5125 data_time: 0.0381 memory: 18108 grad_norm: 3.9900 loss: 3.5915 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1149 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.4767 2023/02/02 05:43:03 - mmengine - INFO - Epoch(train) [165][ 500/1879] lr: 3.6537e-02 eta: 1 day, 0:27:21 time: 0.5310 data_time: 0.0305 memory: 18108 grad_norm: 4.1116 loss: 3.4554 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0107 top1_acc_1: 0.5765 top5_acc_1: 0.8824 loss_cls_1: 1.4447 2023/02/02 05:43:14 - mmengine - INFO - Epoch(train) [165][ 520/1879] lr: 3.6529e-02 eta: 1 day, 0:27:11 time: 0.5166 data_time: 0.0345 memory: 18108 grad_norm: 4.0729 loss: 3.6298 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2255 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.4043 2023/02/02 05:43:24 - mmengine - INFO - Epoch(train) [165][ 540/1879] lr: 3.6522e-02 eta: 1 day, 0:27:00 time: 0.5073 data_time: 0.0406 memory: 18108 grad_norm: 4.0215 loss: 3.6802 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.2058 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.4744 2023/02/02 05:43:35 - mmengine - INFO - Epoch(train) [165][ 560/1879] lr: 3.6515e-02 eta: 1 day, 0:26:50 time: 0.5299 data_time: 0.0350 memory: 18108 grad_norm: 4.1052 loss: 3.5098 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.9613 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5485 2023/02/02 05:43:45 - mmengine - INFO - Epoch(train) [165][ 580/1879] lr: 3.6508e-02 eta: 1 day, 0:26:40 time: 0.5165 data_time: 0.0318 memory: 18108 grad_norm: 4.1621 loss: 3.5362 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0094 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.5267 2023/02/02 05:43:55 - mmengine - INFO - Epoch(train) [165][ 600/1879] lr: 3.6500e-02 eta: 1 day, 0:26:30 time: 0.5212 data_time: 0.0343 memory: 18108 grad_norm: 4.0581 loss: 3.5537 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0855 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.4682 2023/02/02 05:44:06 - mmengine - INFO - Epoch(train) [165][ 620/1879] lr: 3.6493e-02 eta: 1 day, 0:26:20 time: 0.5168 data_time: 0.0319 memory: 18108 grad_norm: 4.1881 loss: 3.9454 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.4174 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.5281 2023/02/02 05:44:17 - mmengine - INFO - Epoch(train) [165][ 640/1879] lr: 3.6486e-02 eta: 1 day, 0:26:10 time: 0.5403 data_time: 0.0339 memory: 18108 grad_norm: 4.0486 loss: 3.7903 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2017 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5885 2023/02/02 05:44:27 - mmengine - INFO - Epoch(train) [165][ 660/1879] lr: 3.6479e-02 eta: 1 day, 0:26:00 time: 0.5118 data_time: 0.0326 memory: 18108 grad_norm: 4.0630 loss: 3.5780 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0552 top1_acc_1: 0.5059 top5_acc_1: 0.8000 loss_cls_1: 1.5228 2023/02/02 05:44:37 - mmengine - INFO - Epoch(train) [165][ 680/1879] lr: 3.6471e-02 eta: 1 day, 0:25:50 time: 0.5274 data_time: 0.0350 memory: 18108 grad_norm: 4.0866 loss: 3.7861 top1_acc_0: 0.2500 top5_acc_0: 0.4375 loss_cls_0: 2.2935 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4927 2023/02/02 05:44:48 - mmengine - INFO - Epoch(train) [165][ 700/1879] lr: 3.6464e-02 eta: 1 day, 0:25:40 time: 0.5328 data_time: 0.0318 memory: 18108 grad_norm: 4.0397 loss: 3.6482 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1134 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.5348 2023/02/02 05:44:59 - mmengine - INFO - Epoch(train) [165][ 720/1879] lr: 3.6457e-02 eta: 1 day, 0:25:30 time: 0.5215 data_time: 0.0350 memory: 18108 grad_norm: 4.0679 loss: 3.7274 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1982 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.5292 2023/02/02 05:45:09 - mmengine - INFO - Epoch(train) [165][ 740/1879] lr: 3.6450e-02 eta: 1 day, 0:25:20 time: 0.5174 data_time: 0.0378 memory: 18108 grad_norm: 4.0243 loss: 3.6774 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1830 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.4943 2023/02/02 05:45:20 - mmengine - INFO - Epoch(train) [165][ 760/1879] lr: 3.6442e-02 eta: 1 day, 0:25:10 time: 0.5339 data_time: 0.0367 memory: 18108 grad_norm: 4.0644 loss: 3.5576 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0120 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5456 2023/02/02 05:45:30 - mmengine - INFO - Epoch(train) [165][ 780/1879] lr: 3.6435e-02 eta: 1 day, 0:25:00 time: 0.5280 data_time: 0.0310 memory: 18108 grad_norm: 4.0373 loss: 3.7197 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1990 top1_acc_1: 0.6941 top5_acc_1: 0.8000 loss_cls_1: 1.5207 2023/02/02 05:45:40 - mmengine - INFO - Epoch(train) [165][ 800/1879] lr: 3.6428e-02 eta: 1 day, 0:24:49 time: 0.5128 data_time: 0.0357 memory: 18108 grad_norm: 4.1028 loss: 3.6599 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1797 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.4802 2023/02/02 05:45:51 - mmengine - INFO - Epoch(train) [165][ 820/1879] lr: 3.6421e-02 eta: 1 day, 0:24:39 time: 0.5282 data_time: 0.0388 memory: 18108 grad_norm: 4.0459 loss: 3.7630 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1977 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.5653 2023/02/02 05:46:02 - mmengine - INFO - Epoch(train) [165][ 840/1879] lr: 3.6413e-02 eta: 1 day, 0:24:29 time: 0.5395 data_time: 0.0336 memory: 18108 grad_norm: 3.9576 loss: 3.6812 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.1492 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5320 2023/02/02 05:46:04 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 05:46:12 - mmengine - INFO - Epoch(train) [165][ 860/1879] lr: 3.6406e-02 eta: 1 day, 0:24:19 time: 0.5186 data_time: 0.0331 memory: 18108 grad_norm: 4.0134 loss: 3.7464 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.3009 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.4456 2023/02/02 05:46:23 - mmengine - INFO - Epoch(train) [165][ 880/1879] lr: 3.6399e-02 eta: 1 day, 0:24:09 time: 0.5301 data_time: 0.0397 memory: 18108 grad_norm: 4.0783 loss: 3.7126 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2120 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5006 2023/02/02 05:46:33 - mmengine - INFO - Epoch(train) [165][ 900/1879] lr: 3.6392e-02 eta: 1 day, 0:23:59 time: 0.5258 data_time: 0.0342 memory: 18108 grad_norm: 4.0965 loss: 3.5709 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0532 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.5177 2023/02/02 05:46:44 - mmengine - INFO - Epoch(train) [165][ 920/1879] lr: 3.6384e-02 eta: 1 day, 0:23:50 time: 0.5497 data_time: 0.0347 memory: 18108 grad_norm: 4.1311 loss: 3.5450 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0814 top1_acc_1: 0.6353 top5_acc_1: 0.7765 loss_cls_1: 1.4636 2023/02/02 05:46:55 - mmengine - INFO - Epoch(train) [165][ 940/1879] lr: 3.6377e-02 eta: 1 day, 0:23:39 time: 0.5214 data_time: 0.0387 memory: 18108 grad_norm: 4.0485 loss: 3.6634 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1313 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5321 2023/02/02 05:47:05 - mmengine - INFO - Epoch(train) [165][ 960/1879] lr: 3.6370e-02 eta: 1 day, 0:23:29 time: 0.5261 data_time: 0.0321 memory: 18108 grad_norm: 4.0083 loss: 3.6371 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1374 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.4997 2023/02/02 05:47:16 - mmengine - INFO - Epoch(train) [165][ 980/1879] lr: 3.6363e-02 eta: 1 day, 0:23:19 time: 0.5415 data_time: 0.0318 memory: 18108 grad_norm: 4.0005 loss: 3.6612 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1083 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.5529 2023/02/02 05:47:27 - mmengine - INFO - Epoch(train) [165][1000/1879] lr: 3.6355e-02 eta: 1 day, 0:23:10 time: 0.5327 data_time: 0.0420 memory: 18108 grad_norm: 4.0757 loss: 3.6754 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.1835 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.4919 2023/02/02 05:47:37 - mmengine - INFO - Epoch(train) [165][1020/1879] lr: 3.6348e-02 eta: 1 day, 0:22:59 time: 0.5186 data_time: 0.0329 memory: 18108 grad_norm: 4.0580 loss: 3.3718 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.8726 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.4992 2023/02/02 05:47:48 - mmengine - INFO - Epoch(train) [165][1040/1879] lr: 3.6341e-02 eta: 1 day, 0:22:50 time: 0.5454 data_time: 0.0353 memory: 18108 grad_norm: 4.0864 loss: 3.3871 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9178 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.4692 2023/02/02 05:47:59 - mmengine - INFO - Epoch(train) [165][1060/1879] lr: 3.6334e-02 eta: 1 day, 0:22:40 time: 0.5304 data_time: 0.0346 memory: 18108 grad_norm: 4.1147 loss: 3.7949 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3017 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.4932 2023/02/02 05:48:10 - mmengine - INFO - Epoch(train) [165][1080/1879] lr: 3.6326e-02 eta: 1 day, 0:22:30 time: 0.5359 data_time: 0.0432 memory: 18108 grad_norm: 4.1098 loss: 3.6177 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0885 top1_acc_1: 0.6235 top5_acc_1: 0.9176 loss_cls_1: 1.5292 2023/02/02 05:48:20 - mmengine - INFO - Epoch(train) [165][1100/1879] lr: 3.6319e-02 eta: 1 day, 0:22:20 time: 0.5238 data_time: 0.0316 memory: 18108 grad_norm: 4.1565 loss: 3.8212 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3918 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.4295 2023/02/02 05:48:31 - mmengine - INFO - Epoch(train) [165][1120/1879] lr: 3.6312e-02 eta: 1 day, 0:22:10 time: 0.5272 data_time: 0.0349 memory: 18108 grad_norm: 4.1213 loss: 3.7019 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1613 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.5406 2023/02/02 05:48:41 - mmengine - INFO - Epoch(train) [165][1140/1879] lr: 3.6305e-02 eta: 1 day, 0:21:59 time: 0.5277 data_time: 0.0393 memory: 18108 grad_norm: 4.0696 loss: 3.8104 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2901 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.5202 2023/02/02 05:48:52 - mmengine - INFO - Epoch(train) [165][1160/1879] lr: 3.6297e-02 eta: 1 day, 0:21:49 time: 0.5155 data_time: 0.0361 memory: 18108 grad_norm: 4.0173 loss: 3.5976 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1418 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.4557 2023/02/02 05:49:02 - mmengine - INFO - Epoch(train) [165][1180/1879] lr: 3.6290e-02 eta: 1 day, 0:21:39 time: 0.5215 data_time: 0.0312 memory: 18108 grad_norm: 4.0371 loss: 3.4844 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.0010 top1_acc_1: 0.7529 top5_acc_1: 0.8471 loss_cls_1: 1.4835 2023/02/02 05:49:12 - mmengine - INFO - Epoch(train) [165][1200/1879] lr: 3.6283e-02 eta: 1 day, 0:21:29 time: 0.5123 data_time: 0.0353 memory: 18108 grad_norm: 4.0581 loss: 3.7100 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.1921 top1_acc_1: 0.5765 top5_acc_1: 0.7765 loss_cls_1: 1.5180 2023/02/02 05:49:22 - mmengine - INFO - Epoch(train) [165][1220/1879] lr: 3.6276e-02 eta: 1 day, 0:21:19 time: 0.5054 data_time: 0.0384 memory: 18108 grad_norm: 4.0702 loss: 3.6369 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1403 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.4966 2023/02/02 05:49:33 - mmengine - INFO - Epoch(train) [165][1240/1879] lr: 3.6268e-02 eta: 1 day, 0:21:09 time: 0.5323 data_time: 0.0368 memory: 18108 grad_norm: 4.0381 loss: 3.4909 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0298 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.4611 2023/02/02 05:49:43 - mmengine - INFO - Epoch(train) [165][1260/1879] lr: 3.6261e-02 eta: 1 day, 0:20:59 time: 0.5113 data_time: 0.0309 memory: 18108 grad_norm: 4.0354 loss: 3.7588 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2429 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.5159 2023/02/02 05:49:54 - mmengine - INFO - Epoch(train) [165][1280/1879] lr: 3.6254e-02 eta: 1 day, 0:20:48 time: 0.5149 data_time: 0.0423 memory: 18108 grad_norm: 4.0937 loss: 3.6315 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1523 top1_acc_1: 0.5294 top5_acc_1: 0.8588 loss_cls_1: 1.4792 2023/02/02 05:50:04 - mmengine - INFO - Epoch(train) [165][1300/1879] lr: 3.6247e-02 eta: 1 day, 0:20:38 time: 0.5150 data_time: 0.0329 memory: 18108 grad_norm: 4.0919 loss: 3.8476 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3907 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.4569 2023/02/02 05:50:14 - mmengine - INFO - Epoch(train) [165][1320/1879] lr: 3.6239e-02 eta: 1 day, 0:20:28 time: 0.5045 data_time: 0.0385 memory: 18108 grad_norm: 3.9757 loss: 3.8024 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2076 top1_acc_1: 0.5647 top5_acc_1: 0.7529 loss_cls_1: 1.5947 2023/02/02 05:50:24 - mmengine - INFO - Epoch(train) [165][1340/1879] lr: 3.6232e-02 eta: 1 day, 0:20:18 time: 0.4943 data_time: 0.0303 memory: 18108 grad_norm: 4.0768 loss: 3.7004 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2487 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.4517 2023/02/02 05:50:34 - mmengine - INFO - Epoch(train) [165][1360/1879] lr: 3.6225e-02 eta: 1 day, 0:20:07 time: 0.5071 data_time: 0.0344 memory: 18108 grad_norm: 4.0188 loss: 3.6633 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1842 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.4790 2023/02/02 05:50:44 - mmengine - INFO - Epoch(train) [165][1380/1879] lr: 3.6218e-02 eta: 1 day, 0:19:57 time: 0.5109 data_time: 0.0357 memory: 18108 grad_norm: 4.1052 loss: 3.4225 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.8820 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.5405 2023/02/02 05:50:54 - mmengine - INFO - Epoch(train) [165][1400/1879] lr: 3.6211e-02 eta: 1 day, 0:19:47 time: 0.4810 data_time: 0.0349 memory: 18108 grad_norm: 4.0549 loss: 3.3807 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8657 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.5150 2023/02/02 05:51:04 - mmengine - INFO - Epoch(train) [165][1420/1879] lr: 3.6203e-02 eta: 1 day, 0:19:36 time: 0.5224 data_time: 0.0381 memory: 18108 grad_norm: 4.1061 loss: 3.6730 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1146 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.5584 2023/02/02 05:51:15 - mmengine - INFO - Epoch(train) [165][1440/1879] lr: 3.6196e-02 eta: 1 day, 0:19:26 time: 0.5146 data_time: 0.0302 memory: 18108 grad_norm: 4.0889 loss: 3.5633 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.0728 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.4905 2023/02/02 05:51:25 - mmengine - INFO - Epoch(train) [165][1460/1879] lr: 3.6189e-02 eta: 1 day, 0:19:16 time: 0.5046 data_time: 0.0381 memory: 18108 grad_norm: 4.0686 loss: 3.5790 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0863 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.4927 2023/02/02 05:51:35 - mmengine - INFO - Epoch(train) [165][1480/1879] lr: 3.6182e-02 eta: 1 day, 0:19:06 time: 0.4943 data_time: 0.0328 memory: 18108 grad_norm: 4.1348 loss: 3.4638 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.9119 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.5519 2023/02/02 05:51:45 - mmengine - INFO - Epoch(train) [165][1500/1879] lr: 3.6174e-02 eta: 1 day, 0:18:56 time: 0.5268 data_time: 0.0482 memory: 18108 grad_norm: 4.0782 loss: 3.3602 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8669 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.4933 2023/02/02 05:51:55 - mmengine - INFO - Epoch(train) [165][1520/1879] lr: 3.6167e-02 eta: 1 day, 0:18:45 time: 0.5029 data_time: 0.0299 memory: 18108 grad_norm: 4.1323 loss: 3.6119 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.1142 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.4977 2023/02/02 05:52:06 - mmengine - INFO - Epoch(train) [165][1540/1879] lr: 3.6160e-02 eta: 1 day, 0:18:35 time: 0.5095 data_time: 0.0373 memory: 18108 grad_norm: 4.0396 loss: 3.4958 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.9575 top1_acc_1: 0.5647 top5_acc_1: 0.8824 loss_cls_1: 1.5383 2023/02/02 05:52:16 - mmengine - INFO - Epoch(train) [165][1560/1879] lr: 3.6153e-02 eta: 1 day, 0:18:25 time: 0.5118 data_time: 0.0384 memory: 18108 grad_norm: 4.1069 loss: 3.6858 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2850 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.4008 2023/02/02 05:52:26 - mmengine - INFO - Epoch(train) [165][1580/1879] lr: 3.6145e-02 eta: 1 day, 0:18:15 time: 0.5144 data_time: 0.0367 memory: 18108 grad_norm: 3.9962 loss: 3.6165 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.0484 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.5681 2023/02/02 05:52:36 - mmengine - INFO - Epoch(train) [165][1600/1879] lr: 3.6138e-02 eta: 1 day, 0:18:04 time: 0.4974 data_time: 0.0308 memory: 18108 grad_norm: 4.1228 loss: 3.6219 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1111 top1_acc_1: 0.6588 top5_acc_1: 0.7765 loss_cls_1: 1.5108 2023/02/02 05:52:47 - mmengine - INFO - Epoch(train) [165][1620/1879] lr: 3.6131e-02 eta: 1 day, 0:17:54 time: 0.5176 data_time: 0.0393 memory: 18108 grad_norm: 4.1525 loss: 3.6686 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.1543 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.5143 2023/02/02 05:52:57 - mmengine - INFO - Epoch(train) [165][1640/1879] lr: 3.6124e-02 eta: 1 day, 0:17:44 time: 0.5094 data_time: 0.0404 memory: 18108 grad_norm: 4.0804 loss: 3.7041 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1888 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.5153 2023/02/02 05:53:07 - mmengine - INFO - Epoch(train) [165][1660/1879] lr: 3.6116e-02 eta: 1 day, 0:17:34 time: 0.5165 data_time: 0.0380 memory: 18108 grad_norm: 3.9573 loss: 3.4383 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0278 top1_acc_1: 0.6000 top5_acc_1: 0.9059 loss_cls_1: 1.4106 2023/02/02 05:53:17 - mmengine - INFO - Epoch(train) [165][1680/1879] lr: 3.6109e-02 eta: 1 day, 0:17:23 time: 0.4892 data_time: 0.0316 memory: 18108 grad_norm: 3.9592 loss: 3.5970 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.0167 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.5804 2023/02/02 05:53:28 - mmengine - INFO - Epoch(train) [165][1700/1879] lr: 3.6102e-02 eta: 1 day, 0:17:13 time: 0.5380 data_time: 0.0388 memory: 18108 grad_norm: 4.0613 loss: 3.5565 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0847 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.4718 2023/02/02 05:53:38 - mmengine - INFO - Epoch(train) [165][1720/1879] lr: 3.6095e-02 eta: 1 day, 0:17:03 time: 0.4945 data_time: 0.0306 memory: 18108 grad_norm: 4.0876 loss: 3.4186 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9012 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.5174 2023/02/02 05:53:48 - mmengine - INFO - Epoch(train) [165][1740/1879] lr: 3.6087e-02 eta: 1 day, 0:16:53 time: 0.5160 data_time: 0.0403 memory: 18108 grad_norm: 3.9611 loss: 3.6540 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1151 top1_acc_1: 0.5882 top5_acc_1: 0.9059 loss_cls_1: 1.5389 2023/02/02 05:53:58 - mmengine - INFO - Epoch(train) [165][1760/1879] lr: 3.6080e-02 eta: 1 day, 0:16:43 time: 0.5122 data_time: 0.0289 memory: 18108 grad_norm: 4.0333 loss: 3.5436 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0257 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.5179 2023/02/02 05:54:09 - mmengine - INFO - Epoch(train) [165][1780/1879] lr: 3.6073e-02 eta: 1 day, 0:16:33 time: 0.5225 data_time: 0.0524 memory: 18108 grad_norm: 4.0473 loss: 3.7960 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2525 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.5435 2023/02/02 05:54:19 - mmengine - INFO - Epoch(train) [165][1800/1879] lr: 3.6066e-02 eta: 1 day, 0:16:22 time: 0.4979 data_time: 0.0302 memory: 18108 grad_norm: 4.0230 loss: 3.4567 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9325 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.5242 2023/02/02 05:54:29 - mmengine - INFO - Epoch(train) [165][1820/1879] lr: 3.6059e-02 eta: 1 day, 0:16:12 time: 0.5222 data_time: 0.0400 memory: 18108 grad_norm: 4.1200 loss: 3.6798 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0992 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5806 2023/02/02 05:54:39 - mmengine - INFO - Epoch(train) [165][1840/1879] lr: 3.6051e-02 eta: 1 day, 0:16:02 time: 0.5001 data_time: 0.0401 memory: 18108 grad_norm: 4.1289 loss: 3.9268 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3722 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.5546 2023/02/02 05:54:41 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 05:54:50 - mmengine - INFO - Epoch(train) [165][1860/1879] lr: 3.6044e-02 eta: 1 day, 0:15:52 time: 0.5187 data_time: 0.0399 memory: 18108 grad_norm: 4.0725 loss: 3.5284 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 2.0442 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.4842 2023/02/02 05:54:59 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 05:54:59 - mmengine - INFO - Epoch(train) [165][1879/1879] lr: 3.6037e-02 eta: 1 day, 0:15:42 time: 0.4959 data_time: 0.0274 memory: 18108 grad_norm: 4.1870 loss: 3.6722 top1_acc_0: 0.4286 top5_acc_0: 1.0000 loss_cls_0: 2.1276 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5446 2023/02/02 05:55:14 - mmengine - INFO - Epoch(train) [166][ 20/1879] lr: 3.6030e-02 eta: 1 day, 0:15:34 time: 0.7247 data_time: 0.2562 memory: 18108 grad_norm: 3.9702 loss: 3.4360 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.9536 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.4824 2023/02/02 05:55:24 - mmengine - INFO - Epoch(train) [166][ 40/1879] lr: 3.6023e-02 eta: 1 day, 0:15:23 time: 0.4826 data_time: 0.0332 memory: 18108 grad_norm: 4.0137 loss: 3.4633 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9685 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.4948 2023/02/02 05:55:34 - mmengine - INFO - Epoch(train) [166][ 60/1879] lr: 3.6016e-02 eta: 1 day, 0:15:13 time: 0.4915 data_time: 0.0345 memory: 18108 grad_norm: 4.0968 loss: 3.4892 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0584 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.4308 2023/02/02 05:55:44 - mmengine - INFO - Epoch(train) [166][ 80/1879] lr: 3.6008e-02 eta: 1 day, 0:15:03 time: 0.5445 data_time: 0.0334 memory: 18108 grad_norm: 3.9861 loss: 3.5618 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0420 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.5198 2023/02/02 05:55:54 - mmengine - INFO - Epoch(train) [166][ 100/1879] lr: 3.6001e-02 eta: 1 day, 0:14:53 time: 0.4912 data_time: 0.0351 memory: 18108 grad_norm: 3.9383 loss: 3.6468 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1742 top1_acc_1: 0.6824 top5_acc_1: 0.8118 loss_cls_1: 1.4726 2023/02/02 05:56:04 - mmengine - INFO - Epoch(train) [166][ 120/1879] lr: 3.5994e-02 eta: 1 day, 0:14:42 time: 0.4866 data_time: 0.0352 memory: 18108 grad_norm: 4.0855 loss: 3.4128 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0180 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.3948 2023/02/02 05:56:14 - mmengine - INFO - Epoch(train) [166][ 140/1879] lr: 3.5987e-02 eta: 1 day, 0:14:32 time: 0.5066 data_time: 0.0332 memory: 18108 grad_norm: 4.0174 loss: 3.6148 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1402 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.4746 2023/02/02 05:56:24 - mmengine - INFO - Epoch(train) [166][ 160/1879] lr: 3.5979e-02 eta: 1 day, 0:14:21 time: 0.5022 data_time: 0.0399 memory: 18108 grad_norm: 4.1187 loss: 3.6826 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2054 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.4772 2023/02/02 05:56:34 - mmengine - INFO - Epoch(train) [166][ 180/1879] lr: 3.5972e-02 eta: 1 day, 0:14:11 time: 0.4886 data_time: 0.0353 memory: 18108 grad_norm: 4.0600 loss: 3.5327 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9354 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.5972 2023/02/02 05:56:44 - mmengine - INFO - Epoch(train) [166][ 200/1879] lr: 3.5965e-02 eta: 1 day, 0:14:01 time: 0.5024 data_time: 0.0344 memory: 18108 grad_norm: 4.0486 loss: 3.7014 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2569 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.4445 2023/02/02 05:56:54 - mmengine - INFO - Epoch(train) [166][ 220/1879] lr: 3.5958e-02 eta: 1 day, 0:13:51 time: 0.5159 data_time: 0.0409 memory: 18108 grad_norm: 3.9917 loss: 3.4192 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.9314 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.4878 2023/02/02 05:57:04 - mmengine - INFO - Epoch(train) [166][ 240/1879] lr: 3.5950e-02 eta: 1 day, 0:13:40 time: 0.4882 data_time: 0.0335 memory: 18108 grad_norm: 4.0019 loss: 3.6972 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.2718 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.4254 2023/02/02 05:57:14 - mmengine - INFO - Epoch(train) [166][ 260/1879] lr: 3.5943e-02 eta: 1 day, 0:13:30 time: 0.4835 data_time: 0.0334 memory: 18108 grad_norm: 4.1484 loss: 3.6340 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.1467 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.4873 2023/02/02 05:57:24 - mmengine - INFO - Epoch(train) [166][ 280/1879] lr: 3.5936e-02 eta: 1 day, 0:13:19 time: 0.5096 data_time: 0.0329 memory: 18108 grad_norm: 4.0063 loss: 3.8546 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.4090 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.4456 2023/02/02 05:57:34 - mmengine - INFO - Epoch(train) [166][ 300/1879] lr: 3.5929e-02 eta: 1 day, 0:13:09 time: 0.4989 data_time: 0.0405 memory: 18108 grad_norm: 3.9976 loss: 3.6336 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.1887 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.4450 2023/02/02 05:57:44 - mmengine - INFO - Epoch(train) [166][ 320/1879] lr: 3.5922e-02 eta: 1 day, 0:12:58 time: 0.4866 data_time: 0.0336 memory: 18108 grad_norm: 4.1253 loss: 3.5957 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.1143 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.4814 2023/02/02 05:57:54 - mmengine - INFO - Epoch(train) [166][ 340/1879] lr: 3.5914e-02 eta: 1 day, 0:12:48 time: 0.4923 data_time: 0.0348 memory: 18108 grad_norm: 4.0573 loss: 3.7467 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 2.2851 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.4617 2023/02/02 05:58:04 - mmengine - INFO - Epoch(train) [166][ 360/1879] lr: 3.5907e-02 eta: 1 day, 0:12:38 time: 0.5178 data_time: 0.0351 memory: 18108 grad_norm: 4.0250 loss: 3.3351 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.9425 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.3926 2023/02/02 05:58:14 - mmengine - INFO - Epoch(train) [166][ 380/1879] lr: 3.5900e-02 eta: 1 day, 0:12:28 time: 0.4951 data_time: 0.0406 memory: 18108 grad_norm: 4.0090 loss: 3.3873 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 1.8972 top1_acc_1: 0.6588 top5_acc_1: 0.9294 loss_cls_1: 1.4901 2023/02/02 05:58:24 - mmengine - INFO - Epoch(train) [166][ 400/1879] lr: 3.5893e-02 eta: 1 day, 0:12:17 time: 0.4972 data_time: 0.0352 memory: 18108 grad_norm: 4.0260 loss: 3.4023 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.9538 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.4485 2023/02/02 05:58:34 - mmengine - INFO - Epoch(train) [166][ 420/1879] lr: 3.5885e-02 eta: 1 day, 0:12:07 time: 0.4985 data_time: 0.0341 memory: 18108 grad_norm: 4.1431 loss: 3.6517 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2251 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.4266 2023/02/02 05:58:44 - mmengine - INFO - Epoch(train) [166][ 440/1879] lr: 3.5878e-02 eta: 1 day, 0:11:57 time: 0.5017 data_time: 0.0428 memory: 18108 grad_norm: 4.0876 loss: 3.5605 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.0732 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.4874 2023/02/02 05:58:54 - mmengine - INFO - Epoch(train) [166][ 460/1879] lr: 3.5871e-02 eta: 1 day, 0:11:46 time: 0.5052 data_time: 0.0352 memory: 18108 grad_norm: 4.0972 loss: 3.7191 top1_acc_0: 0.3125 top5_acc_0: 0.9375 loss_cls_0: 2.3112 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.4079 2023/02/02 05:59:04 - mmengine - INFO - Epoch(train) [166][ 480/1879] lr: 3.5864e-02 eta: 1 day, 0:11:36 time: 0.5008 data_time: 0.0316 memory: 18108 grad_norm: 4.0854 loss: 3.5570 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.0808 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.4761 2023/02/02 05:59:15 - mmengine - INFO - Epoch(train) [166][ 500/1879] lr: 3.5857e-02 eta: 1 day, 0:11:26 time: 0.5262 data_time: 0.0450 memory: 18108 grad_norm: 3.9943 loss: 3.6258 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1160 top1_acc_1: 0.6471 top5_acc_1: 0.7765 loss_cls_1: 1.5098 2023/02/02 05:59:25 - mmengine - INFO - Epoch(train) [166][ 520/1879] lr: 3.5849e-02 eta: 1 day, 0:11:15 time: 0.4934 data_time: 0.0323 memory: 18108 grad_norm: 4.1922 loss: 3.9057 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.3824 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.5233 2023/02/02 05:59:35 - mmengine - INFO - Epoch(train) [166][ 540/1879] lr: 3.5842e-02 eta: 1 day, 0:11:05 time: 0.4994 data_time: 0.0377 memory: 18108 grad_norm: 4.1094 loss: 3.6396 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1098 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.5298 2023/02/02 05:59:45 - mmengine - INFO - Epoch(train) [166][ 560/1879] lr: 3.5835e-02 eta: 1 day, 0:10:55 time: 0.5080 data_time: 0.0342 memory: 18108 grad_norm: 4.0187 loss: 3.4984 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.9870 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5114 2023/02/02 05:59:55 - mmengine - INFO - Epoch(train) [166][ 580/1879] lr: 3.5828e-02 eta: 1 day, 0:10:45 time: 0.5160 data_time: 0.0440 memory: 18108 grad_norm: 4.1157 loss: 3.7329 top1_acc_0: 0.1250 top5_acc_0: 0.3125 loss_cls_0: 2.2698 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.4631 2023/02/02 06:00:05 - mmengine - INFO - Epoch(train) [166][ 600/1879] lr: 3.5820e-02 eta: 1 day, 0:10:34 time: 0.4976 data_time: 0.0304 memory: 18108 grad_norm: 4.0835 loss: 3.4931 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0746 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.4186 2023/02/02 06:00:15 - mmengine - INFO - Epoch(train) [166][ 620/1879] lr: 3.5813e-02 eta: 1 day, 0:10:24 time: 0.5110 data_time: 0.0416 memory: 18108 grad_norm: 4.1094 loss: 3.8169 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.3160 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.5010 2023/02/02 06:00:26 - mmengine - INFO - Epoch(train) [166][ 640/1879] lr: 3.5806e-02 eta: 1 day, 0:10:14 time: 0.5075 data_time: 0.0297 memory: 18108 grad_norm: 4.1196 loss: 3.5004 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0119 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.4885 2023/02/02 06:00:36 - mmengine - INFO - Epoch(train) [166][ 660/1879] lr: 3.5799e-02 eta: 1 day, 0:10:03 time: 0.4962 data_time: 0.0362 memory: 18108 grad_norm: 4.0267 loss: 3.5490 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.0765 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.4726 2023/02/02 06:00:46 - mmengine - INFO - Epoch(train) [166][ 680/1879] lr: 3.5792e-02 eta: 1 day, 0:09:53 time: 0.5057 data_time: 0.0320 memory: 18108 grad_norm: 4.1344 loss: 3.4439 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.9551 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.4888 2023/02/02 06:00:56 - mmengine - INFO - Epoch(train) [166][ 700/1879] lr: 3.5784e-02 eta: 1 day, 0:09:43 time: 0.5244 data_time: 0.0440 memory: 18108 grad_norm: 4.2095 loss: 3.6461 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1477 top1_acc_1: 0.5412 top5_acc_1: 0.8000 loss_cls_1: 1.4984 2023/02/02 06:01:06 - mmengine - INFO - Epoch(train) [166][ 720/1879] lr: 3.5777e-02 eta: 1 day, 0:09:33 time: 0.4988 data_time: 0.0306 memory: 18108 grad_norm: 4.1426 loss: 3.8307 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.3068 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5240 2023/02/02 06:01:16 - mmengine - INFO - Epoch(train) [166][ 740/1879] lr: 3.5770e-02 eta: 1 day, 0:09:23 time: 0.5077 data_time: 0.0375 memory: 18108 grad_norm: 4.1052 loss: 3.5658 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.9763 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5895 2023/02/02 06:01:26 - mmengine - INFO - Epoch(train) [166][ 760/1879] lr: 3.5763e-02 eta: 1 day, 0:09:12 time: 0.4959 data_time: 0.0382 memory: 18108 grad_norm: 4.0839 loss: 3.4484 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.8842 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.5641 2023/02/02 06:01:37 - mmengine - INFO - Epoch(train) [166][ 780/1879] lr: 3.5755e-02 eta: 1 day, 0:09:02 time: 0.5149 data_time: 0.0351 memory: 18108 grad_norm: 4.0240 loss: 3.6616 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.1944 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.4672 2023/02/02 06:01:47 - mmengine - INFO - Epoch(train) [166][ 800/1879] lr: 3.5748e-02 eta: 1 day, 0:08:52 time: 0.4964 data_time: 0.0310 memory: 18108 grad_norm: 4.0465 loss: 3.3475 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.9014 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.4462 2023/02/02 06:01:56 - mmengine - INFO - Epoch(train) [166][ 820/1879] lr: 3.5741e-02 eta: 1 day, 0:08:41 time: 0.4942 data_time: 0.0356 memory: 18108 grad_norm: 4.0308 loss: 3.6202 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1360 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.4842 2023/02/02 06:02:06 - mmengine - INFO - Epoch(train) [166][ 840/1879] lr: 3.5734e-02 eta: 1 day, 0:08:31 time: 0.4925 data_time: 0.0352 memory: 18108 grad_norm: 4.0262 loss: 3.6491 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1360 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.5131 2023/02/02 06:02:17 - mmengine - INFO - Epoch(train) [166][ 860/1879] lr: 3.5727e-02 eta: 1 day, 0:08:21 time: 0.5223 data_time: 0.0353 memory: 18108 grad_norm: 4.0554 loss: 3.8887 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.3501 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.5386 2023/02/02 06:02:27 - mmengine - INFO - Epoch(train) [166][ 880/1879] lr: 3.5719e-02 eta: 1 day, 0:08:10 time: 0.4998 data_time: 0.0306 memory: 18108 grad_norm: 4.0846 loss: 3.5868 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.0298 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.5570 2023/02/02 06:02:37 - mmengine - INFO - Epoch(train) [166][ 900/1879] lr: 3.5712e-02 eta: 1 day, 0:08:00 time: 0.5011 data_time: 0.0443 memory: 18108 grad_norm: 4.1534 loss: 3.8248 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3024 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.5224 2023/02/02 06:02:47 - mmengine - INFO - Epoch(train) [166][ 920/1879] lr: 3.5705e-02 eta: 1 day, 0:07:50 time: 0.5078 data_time: 0.0381 memory: 18108 grad_norm: 4.0890 loss: 3.6126 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0598 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.5528 2023/02/02 06:02:57 - mmengine - INFO - Epoch(train) [166][ 940/1879] lr: 3.5698e-02 eta: 1 day, 0:07:39 time: 0.4918 data_time: 0.0329 memory: 18108 grad_norm: 4.0420 loss: 3.5446 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0746 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.4700 2023/02/02 06:03:07 - mmengine - INFO - Epoch(train) [166][ 960/1879] lr: 3.5690e-02 eta: 1 day, 0:07:29 time: 0.4964 data_time: 0.0440 memory: 18108 grad_norm: 3.9992 loss: 3.5486 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.0602 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.4884 2023/02/02 06:03:09 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 06:03:17 - mmengine - INFO - Epoch(train) [166][ 980/1879] lr: 3.5683e-02 eta: 1 day, 0:07:19 time: 0.4885 data_time: 0.0310 memory: 18108 grad_norm: 3.9851 loss: 3.8284 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.3431 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.4853 2023/02/02 06:03:27 - mmengine - INFO - Epoch(train) [166][1000/1879] lr: 3.5676e-02 eta: 1 day, 0:07:09 time: 0.5323 data_time: 0.0383 memory: 18108 grad_norm: 4.1265 loss: 3.4960 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.9647 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.5313 2023/02/02 06:03:37 - mmengine - INFO - Epoch(train) [166][1020/1879] lr: 3.5669e-02 eta: 1 day, 0:06:58 time: 0.4983 data_time: 0.0385 memory: 18108 grad_norm: 4.1000 loss: 3.6310 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0909 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.5401 2023/02/02 06:03:47 - mmengine - INFO - Epoch(train) [166][1040/1879] lr: 3.5662e-02 eta: 1 day, 0:06:48 time: 0.4882 data_time: 0.0373 memory: 18108 grad_norm: 4.1253 loss: 3.7243 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2465 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.4778 2023/02/02 06:03:57 - mmengine - INFO - Epoch(train) [166][1060/1879] lr: 3.5654e-02 eta: 1 day, 0:06:38 time: 0.5135 data_time: 0.0320 memory: 18108 grad_norm: 4.1602 loss: 3.9004 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.3825 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.5179 2023/02/02 06:04:07 - mmengine - INFO - Epoch(train) [166][1080/1879] lr: 3.5647e-02 eta: 1 day, 0:06:27 time: 0.4993 data_time: 0.0376 memory: 18108 grad_norm: 4.1045 loss: 3.5343 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0685 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.4658 2023/02/02 06:04:17 - mmengine - INFO - Epoch(train) [166][1100/1879] lr: 3.5640e-02 eta: 1 day, 0:06:17 time: 0.5044 data_time: 0.0404 memory: 18108 grad_norm: 4.1198 loss: 3.5222 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9763 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.5458 2023/02/02 06:04:28 - mmengine - INFO - Epoch(train) [166][1120/1879] lr: 3.5633e-02 eta: 1 day, 0:06:07 time: 0.5071 data_time: 0.0380 memory: 18108 grad_norm: 4.1140 loss: 3.6397 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.0549 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.5848 2023/02/02 06:04:38 - mmengine - INFO - Epoch(train) [166][1140/1879] lr: 3.5626e-02 eta: 1 day, 0:05:57 time: 0.5171 data_time: 0.0298 memory: 18108 grad_norm: 4.0833 loss: 3.4492 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9567 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.4925 2023/02/02 06:04:48 - mmengine - INFO - Epoch(train) [166][1160/1879] lr: 3.5618e-02 eta: 1 day, 0:05:46 time: 0.5169 data_time: 0.0431 memory: 18108 grad_norm: 3.9936 loss: 3.4071 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9726 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.4345 2023/02/02 06:04:58 - mmengine - INFO - Epoch(train) [166][1180/1879] lr: 3.5611e-02 eta: 1 day, 0:05:36 time: 0.4979 data_time: 0.0299 memory: 18108 grad_norm: 4.0829 loss: 3.6966 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1719 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.5248 2023/02/02 06:05:09 - mmengine - INFO - Epoch(train) [166][1200/1879] lr: 3.5604e-02 eta: 1 day, 0:05:26 time: 0.5301 data_time: 0.0389 memory: 18108 grad_norm: 4.0526 loss: 3.6830 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0812 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.6018 2023/02/02 06:05:19 - mmengine - INFO - Epoch(train) [166][1220/1879] lr: 3.5597e-02 eta: 1 day, 0:05:16 time: 0.5079 data_time: 0.0312 memory: 18108 grad_norm: 4.0066 loss: 3.5457 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.0270 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.5187 2023/02/02 06:05:29 - mmengine - INFO - Epoch(train) [166][1240/1879] lr: 3.5589e-02 eta: 1 day, 0:05:06 time: 0.5087 data_time: 0.0383 memory: 18108 grad_norm: 4.0080 loss: 3.5046 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0055 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.4991 2023/02/02 06:05:39 - mmengine - INFO - Epoch(train) [166][1260/1879] lr: 3.5582e-02 eta: 1 day, 0:04:55 time: 0.5024 data_time: 0.0297 memory: 18108 grad_norm: 4.1058 loss: 3.9062 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.3416 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.5646 2023/02/02 06:05:49 - mmengine - INFO - Epoch(train) [166][1280/1879] lr: 3.5575e-02 eta: 1 day, 0:04:45 time: 0.4972 data_time: 0.0357 memory: 18108 grad_norm: 4.0064 loss: 3.5851 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0804 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.5047 2023/02/02 06:06:00 - mmengine - INFO - Epoch(train) [166][1300/1879] lr: 3.5568e-02 eta: 1 day, 0:04:35 time: 0.5117 data_time: 0.0364 memory: 18108 grad_norm: 4.0050 loss: 3.6560 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.1491 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.5068 2023/02/02 06:06:10 - mmengine - INFO - Epoch(train) [166][1320/1879] lr: 3.5561e-02 eta: 1 day, 0:04:24 time: 0.5050 data_time: 0.0365 memory: 18108 grad_norm: 4.0931 loss: 3.8642 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.3564 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.5079 2023/02/02 06:06:20 - mmengine - INFO - Epoch(train) [166][1340/1879] lr: 3.5553e-02 eta: 1 day, 0:04:14 time: 0.5038 data_time: 0.0306 memory: 18108 grad_norm: 4.0533 loss: 3.4825 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9690 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.5135 2023/02/02 06:06:30 - mmengine - INFO - Epoch(train) [166][1360/1879] lr: 3.5546e-02 eta: 1 day, 0:04:04 time: 0.5059 data_time: 0.0438 memory: 18108 grad_norm: 4.0731 loss: 3.9481 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.3668 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.5813 2023/02/02 06:06:40 - mmengine - INFO - Epoch(train) [166][1380/1879] lr: 3.5539e-02 eta: 1 day, 0:03:54 time: 0.5095 data_time: 0.0310 memory: 18108 grad_norm: 4.0395 loss: 3.7456 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1976 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.5480 2023/02/02 06:06:50 - mmengine - INFO - Epoch(train) [166][1400/1879] lr: 3.5532e-02 eta: 1 day, 0:03:43 time: 0.5079 data_time: 0.0363 memory: 18108 grad_norm: 4.0416 loss: 3.5917 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0546 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.5372 2023/02/02 06:07:00 - mmengine - INFO - Epoch(train) [166][1420/1879] lr: 3.5525e-02 eta: 1 day, 0:03:33 time: 0.5077 data_time: 0.0321 memory: 18108 grad_norm: 4.0355 loss: 3.7033 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.1856 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.5177 2023/02/02 06:07:11 - mmengine - INFO - Epoch(train) [166][1440/1879] lr: 3.5517e-02 eta: 1 day, 0:03:23 time: 0.5222 data_time: 0.0431 memory: 18108 grad_norm: 4.0462 loss: 3.4833 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0102 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.4731 2023/02/02 06:07:21 - mmengine - INFO - Epoch(train) [166][1460/1879] lr: 3.5510e-02 eta: 1 day, 0:03:13 time: 0.5042 data_time: 0.0320 memory: 18108 grad_norm: 4.1245 loss: 3.7048 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1758 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.5290 2023/02/02 06:07:31 - mmengine - INFO - Epoch(train) [166][1480/1879] lr: 3.5503e-02 eta: 1 day, 0:03:02 time: 0.5081 data_time: 0.0381 memory: 18108 grad_norm: 4.0222 loss: 3.6674 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.1394 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.5280 2023/02/02 06:07:42 - mmengine - INFO - Epoch(train) [166][1500/1879] lr: 3.5496e-02 eta: 1 day, 0:02:52 time: 0.5143 data_time: 0.0391 memory: 18108 grad_norm: 4.0861 loss: 3.6495 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1466 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.5029 2023/02/02 06:07:52 - mmengine - INFO - Epoch(train) [166][1520/1879] lr: 3.5489e-02 eta: 1 day, 0:02:42 time: 0.5242 data_time: 0.0373 memory: 18108 grad_norm: 4.0436 loss: 3.7080 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1951 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.5129 2023/02/02 06:08:02 - mmengine - INFO - Epoch(train) [166][1540/1879] lr: 3.5481e-02 eta: 1 day, 0:02:32 time: 0.5102 data_time: 0.0301 memory: 18108 grad_norm: 4.1172 loss: 3.5033 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0029 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.5004 2023/02/02 06:08:12 - mmengine - INFO - Epoch(train) [166][1560/1879] lr: 3.5474e-02 eta: 1 day, 0:02:22 time: 0.5007 data_time: 0.0361 memory: 18108 grad_norm: 4.1007 loss: 3.7947 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2559 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.5387 2023/02/02 06:08:23 - mmengine - INFO - Epoch(train) [166][1580/1879] lr: 3.5467e-02 eta: 1 day, 0:02:12 time: 0.5333 data_time: 0.0380 memory: 18108 grad_norm: 4.0427 loss: 3.6741 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.1518 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.5223 2023/02/02 06:08:33 - mmengine - INFO - Epoch(train) [166][1600/1879] lr: 3.5460e-02 eta: 1 day, 0:02:01 time: 0.5031 data_time: 0.0352 memory: 18108 grad_norm: 4.1129 loss: 3.7122 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2257 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.4865 2023/02/02 06:08:43 - mmengine - INFO - Epoch(train) [166][1620/1879] lr: 3.5453e-02 eta: 1 day, 0:01:51 time: 0.5132 data_time: 0.0308 memory: 18108 grad_norm: 4.0152 loss: 3.4922 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0052 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.4870 2023/02/02 06:08:54 - mmengine - INFO - Epoch(train) [166][1640/1879] lr: 3.5445e-02 eta: 1 day, 0:01:41 time: 0.5114 data_time: 0.0430 memory: 18108 grad_norm: 4.0953 loss: 3.7404 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 2.2201 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.5203 2023/02/02 06:09:04 - mmengine - INFO - Epoch(train) [166][1660/1879] lr: 3.5438e-02 eta: 1 day, 0:01:31 time: 0.5114 data_time: 0.0317 memory: 18108 grad_norm: 4.0486 loss: 3.7044 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.0530 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.6514 2023/02/02 06:09:14 - mmengine - INFO - Epoch(train) [166][1680/1879] lr: 3.5431e-02 eta: 1 day, 0:01:21 time: 0.5123 data_time: 0.0362 memory: 18108 grad_norm: 4.1092 loss: 3.6187 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0162 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.6025 2023/02/02 06:09:25 - mmengine - INFO - Epoch(train) [166][1700/1879] lr: 3.5424e-02 eta: 1 day, 0:01:11 time: 0.5215 data_time: 0.0448 memory: 18108 grad_norm: 4.0940 loss: 3.6316 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1820 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.4496 2023/02/02 06:09:35 - mmengine - INFO - Epoch(train) [166][1720/1879] lr: 3.5416e-02 eta: 1 day, 0:01:00 time: 0.5212 data_time: 0.0349 memory: 18108 grad_norm: 4.0665 loss: 3.4932 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.9881 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.5051 2023/02/02 06:09:45 - mmengine - INFO - Epoch(train) [166][1740/1879] lr: 3.5409e-02 eta: 1 day, 0:00:50 time: 0.5179 data_time: 0.0317 memory: 18108 grad_norm: 4.2367 loss: 3.5352 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0250 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.5102 2023/02/02 06:09:56 - mmengine - INFO - Epoch(train) [166][1760/1879] lr: 3.5402e-02 eta: 1 day, 0:00:40 time: 0.5230 data_time: 0.0363 memory: 18108 grad_norm: 4.0954 loss: 3.8132 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.2421 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.5711 2023/02/02 06:10:07 - mmengine - INFO - Epoch(train) [166][1780/1879] lr: 3.5395e-02 eta: 1 day, 0:00:30 time: 0.5391 data_time: 0.0315 memory: 18108 grad_norm: 4.0927 loss: 4.0083 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.4500 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.5583 2023/02/02 06:10:17 - mmengine - INFO - Epoch(train) [166][1800/1879] lr: 3.5388e-02 eta: 1 day, 0:00:20 time: 0.5241 data_time: 0.0333 memory: 18108 grad_norm: 4.1083 loss: 4.1166 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.5034 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.6132 2023/02/02 06:10:28 - mmengine - INFO - Epoch(train) [166][1820/1879] lr: 3.5380e-02 eta: 1 day, 0:00:10 time: 0.5402 data_time: 0.0309 memory: 18108 grad_norm: 4.0418 loss: 3.6729 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1551 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.5177 2023/02/02 06:10:39 - mmengine - INFO - Epoch(train) [166][1840/1879] lr: 3.5373e-02 eta: 1 day, 0:00:00 time: 0.5286 data_time: 0.0415 memory: 18108 grad_norm: 4.0841 loss: 3.7240 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.1762 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5479 2023/02/02 06:10:49 - mmengine - INFO - Epoch(train) [166][1860/1879] lr: 3.5366e-02 eta: 23:59:50 time: 0.5413 data_time: 0.0316 memory: 18108 grad_norm: 4.0611 loss: 3.5650 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0450 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.5200 2023/02/02 06:10:59 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 06:10:59 - mmengine - INFO - Epoch(train) [166][1879/1879] lr: 3.5359e-02 eta: 23:59:41 time: 0.5058 data_time: 0.0286 memory: 18108 grad_norm: 4.1439 loss: 3.5518 top1_acc_0: 0.7143 top5_acc_0: 0.7143 loss_cls_0: 2.0230 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 1.5288 2023/02/02 06:11:14 - mmengine - INFO - Epoch(train) [167][ 20/1879] lr: 3.5352e-02 eta: 23:59:33 time: 0.7153 data_time: 0.2603 memory: 18108 grad_norm: 3.9717 loss: 3.4997 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.0083 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.4914 2023/02/02 06:11:23 - mmengine - INFO - Epoch(train) [167][ 40/1879] lr: 3.5345e-02 eta: 23:59:22 time: 0.4710 data_time: 0.0335 memory: 18108 grad_norm: 3.9674 loss: 3.5061 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.0079 top1_acc_1: 0.5176 top5_acc_1: 0.7059 loss_cls_1: 1.4982 2023/02/02 06:11:33 - mmengine - INFO - Epoch(train) [167][ 60/1879] lr: 3.5338e-02 eta: 23:59:12 time: 0.4919 data_time: 0.0376 memory: 18108 grad_norm: 4.0287 loss: 3.5532 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.0983 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.4549 2023/02/02 06:11:43 - mmengine - INFO - Epoch(train) [167][ 80/1879] lr: 3.5330e-02 eta: 23:59:01 time: 0.5040 data_time: 0.0425 memory: 18108 grad_norm: 4.0636 loss: 3.6403 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.1624 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.4780 2023/02/02 06:11:46 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 06:11:53 - mmengine - INFO - Epoch(train) [167][ 100/1879] lr: 3.5323e-02 eta: 23:58:51 time: 0.4915 data_time: 0.0366 memory: 18108 grad_norm: 4.0620 loss: 3.4350 top1_acc_0: 0.3125 top5_acc_0: 0.8750 loss_cls_0: 1.9385 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.4965 2023/02/02 06:12:03 - mmengine - INFO - Epoch(train) [167][ 120/1879] lr: 3.5316e-02 eta: 23:58:40 time: 0.4814 data_time: 0.0356 memory: 18108 grad_norm: 4.1216 loss: 3.4819 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.9805 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.5015 2023/02/02 06:12:13 - mmengine - INFO - Epoch(train) [167][ 140/1879] lr: 3.5309e-02 eta: 23:58:30 time: 0.5095 data_time: 0.0354 memory: 18108 grad_norm: 4.0498 loss: 3.5346 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0587 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.4759 2023/02/02 06:12:23 - mmengine - INFO - Epoch(train) [167][ 160/1879] lr: 3.5302e-02 eta: 23:58:20 time: 0.4927 data_time: 0.0402 memory: 18108 grad_norm: 4.1268 loss: 3.3452 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.9302 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.4149 2023/02/02 06:12:33 - mmengine - INFO - Epoch(train) [167][ 180/1879] lr: 3.5294e-02 eta: 23:58:09 time: 0.4870 data_time: 0.0366 memory: 18108 grad_norm: 4.1248 loss: 3.6791 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2234 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.4558 2023/02/02 06:12:42 - mmengine - INFO - Epoch(train) [167][ 200/1879] lr: 3.5287e-02 eta: 23:57:59 time: 0.4846 data_time: 0.0327 memory: 18108 grad_norm: 4.1203 loss: 3.6044 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2361 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.3684 2023/02/02 06:12:53 - mmengine - INFO - Epoch(train) [167][ 220/1879] lr: 3.5280e-02 eta: 23:57:48 time: 0.5085 data_time: 0.0348 memory: 18108 grad_norm: 4.1705 loss: 3.6150 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.1401 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.4750 2023/02/02 06:13:02 - mmengine - INFO - Epoch(train) [167][ 240/1879] lr: 3.5273e-02 eta: 23:57:38 time: 0.4894 data_time: 0.0403 memory: 18108 grad_norm: 4.1447 loss: 3.7242 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2011 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.5231 2023/02/02 06:13:12 - mmengine - INFO - Epoch(train) [167][ 260/1879] lr: 3.5266e-02 eta: 23:57:28 time: 0.4899 data_time: 0.0363 memory: 18108 grad_norm: 4.0338 loss: 3.5637 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0809 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.4828 2023/02/02 06:13:22 - mmengine - INFO - Epoch(train) [167][ 280/1879] lr: 3.5258e-02 eta: 23:57:17 time: 0.4967 data_time: 0.0336 memory: 18108 grad_norm: 4.1560 loss: 3.3553 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9392 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.4161 2023/02/02 06:13:32 - mmengine - INFO - Epoch(train) [167][ 300/1879] lr: 3.5251e-02 eta: 23:57:07 time: 0.5068 data_time: 0.0378 memory: 18108 grad_norm: 4.0808 loss: 3.3981 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8716 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.5265 2023/02/02 06:13:42 - mmengine - INFO - Epoch(train) [167][ 320/1879] lr: 3.5244e-02 eta: 23:56:56 time: 0.4891 data_time: 0.0408 memory: 18108 grad_norm: 4.1224 loss: 3.5652 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0674 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.4979 2023/02/02 06:13:52 - mmengine - INFO - Epoch(train) [167][ 340/1879] lr: 3.5237e-02 eta: 23:56:46 time: 0.5056 data_time: 0.0365 memory: 18108 grad_norm: 4.1111 loss: 3.5231 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0563 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.4668 2023/02/02 06:14:02 - mmengine - INFO - Epoch(train) [167][ 360/1879] lr: 3.5230e-02 eta: 23:56:36 time: 0.4750 data_time: 0.0325 memory: 18108 grad_norm: 4.1570 loss: 3.5801 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1858 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.3943 2023/02/02 06:14:12 - mmengine - INFO - Epoch(train) [167][ 380/1879] lr: 3.5222e-02 eta: 23:56:25 time: 0.5035 data_time: 0.0338 memory: 18108 grad_norm: 4.2545 loss: 3.7971 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2423 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.5548 2023/02/02 06:14:22 - mmengine - INFO - Epoch(train) [167][ 400/1879] lr: 3.5215e-02 eta: 23:56:15 time: 0.4975 data_time: 0.0438 memory: 18108 grad_norm: 4.0913 loss: 3.5457 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.0160 top1_acc_1: 0.7294 top5_acc_1: 0.8353 loss_cls_1: 1.5298 2023/02/02 06:14:32 - mmengine - INFO - Epoch(train) [167][ 420/1879] lr: 3.5208e-02 eta: 23:56:05 time: 0.5024 data_time: 0.0298 memory: 18108 grad_norm: 4.1742 loss: 3.7428 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1562 top1_acc_1: 0.5765 top5_acc_1: 0.8941 loss_cls_1: 1.5866 2023/02/02 06:14:42 - mmengine - INFO - Epoch(train) [167][ 440/1879] lr: 3.5201e-02 eta: 23:55:54 time: 0.4935 data_time: 0.0360 memory: 18108 grad_norm: 4.0338 loss: 3.3411 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.8788 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4623 2023/02/02 06:14:52 - mmengine - INFO - Epoch(train) [167][ 460/1879] lr: 3.5194e-02 eta: 23:55:44 time: 0.5009 data_time: 0.0400 memory: 18108 grad_norm: 4.0927 loss: 3.5509 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0196 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.5313 2023/02/02 06:15:02 - mmengine - INFO - Epoch(train) [167][ 480/1879] lr: 3.5186e-02 eta: 23:55:34 time: 0.5040 data_time: 0.0340 memory: 18108 grad_norm: 4.1420 loss: 3.5377 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.9697 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.5681 2023/02/02 06:15:12 - mmengine - INFO - Epoch(train) [167][ 500/1879] lr: 3.5179e-02 eta: 23:55:23 time: 0.4969 data_time: 0.0326 memory: 18108 grad_norm: 4.1150 loss: 3.6348 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1281 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.5068 2023/02/02 06:15:22 - mmengine - INFO - Epoch(train) [167][ 520/1879] lr: 3.5172e-02 eta: 23:55:13 time: 0.4976 data_time: 0.0441 memory: 18108 grad_norm: 4.0201 loss: 3.4324 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 1.9838 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.4485 2023/02/02 06:15:32 - mmengine - INFO - Epoch(train) [167][ 540/1879] lr: 3.5165e-02 eta: 23:55:03 time: 0.5099 data_time: 0.0334 memory: 18108 grad_norm: 4.0525 loss: 3.5798 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.0674 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 1.5124 2023/02/02 06:15:42 - mmengine - INFO - Epoch(train) [167][ 560/1879] lr: 3.5158e-02 eta: 23:54:52 time: 0.4896 data_time: 0.0351 memory: 18108 grad_norm: 4.0907 loss: 3.7661 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2419 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.5242 2023/02/02 06:15:52 - mmengine - INFO - Epoch(train) [167][ 580/1879] lr: 3.5151e-02 eta: 23:54:42 time: 0.5053 data_time: 0.0326 memory: 18108 grad_norm: 4.0925 loss: 3.7101 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.2373 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.4728 2023/02/02 06:16:02 - mmengine - INFO - Epoch(train) [167][ 600/1879] lr: 3.5143e-02 eta: 23:54:32 time: 0.5005 data_time: 0.0422 memory: 18108 grad_norm: 4.0826 loss: 3.5450 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0242 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.5208 2023/02/02 06:16:12 - mmengine - INFO - Epoch(train) [167][ 620/1879] lr: 3.5136e-02 eta: 23:54:21 time: 0.5125 data_time: 0.0317 memory: 18108 grad_norm: 4.0985 loss: 3.6043 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.0851 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.5192 2023/02/02 06:16:22 - mmengine - INFO - Epoch(train) [167][ 640/1879] lr: 3.5129e-02 eta: 23:54:11 time: 0.4909 data_time: 0.0360 memory: 18108 grad_norm: 4.1236 loss: 3.6274 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1397 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.4877 2023/02/02 06:16:32 - mmengine - INFO - Epoch(train) [167][ 660/1879] lr: 3.5122e-02 eta: 23:54:01 time: 0.5064 data_time: 0.0395 memory: 18108 grad_norm: 4.0486 loss: 3.4426 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.9387 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.5039 2023/02/02 06:16:42 - mmengine - INFO - Epoch(train) [167][ 680/1879] lr: 3.5115e-02 eta: 23:53:50 time: 0.4947 data_time: 0.0355 memory: 18108 grad_norm: 4.0493 loss: 3.6688 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.2306 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4383 2023/02/02 06:16:52 - mmengine - INFO - Epoch(train) [167][ 700/1879] lr: 3.5107e-02 eta: 23:53:40 time: 0.5063 data_time: 0.0312 memory: 18108 grad_norm: 4.1052 loss: 3.8923 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.3971 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.4952 2023/02/02 06:17:02 - mmengine - INFO - Epoch(train) [167][ 720/1879] lr: 3.5100e-02 eta: 23:53:30 time: 0.4939 data_time: 0.0421 memory: 18108 grad_norm: 4.1302 loss: 3.6373 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1430 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.4943 2023/02/02 06:17:12 - mmengine - INFO - Epoch(train) [167][ 740/1879] lr: 3.5093e-02 eta: 23:53:19 time: 0.5029 data_time: 0.0318 memory: 18108 grad_norm: 4.1030 loss: 3.5629 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.0365 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.5264 2023/02/02 06:17:22 - mmengine - INFO - Epoch(train) [167][ 760/1879] lr: 3.5086e-02 eta: 23:53:09 time: 0.5069 data_time: 0.0340 memory: 18108 grad_norm: 4.0609 loss: 3.6439 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1153 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.5287 2023/02/02 06:17:33 - mmengine - INFO - Epoch(train) [167][ 780/1879] lr: 3.5079e-02 eta: 23:52:59 time: 0.5109 data_time: 0.0324 memory: 18108 grad_norm: 4.2212 loss: 3.5218 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0518 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.4700 2023/02/02 06:17:43 - mmengine - INFO - Epoch(train) [167][ 800/1879] lr: 3.5071e-02 eta: 23:52:49 time: 0.4987 data_time: 0.0404 memory: 18108 grad_norm: 4.0884 loss: 3.8178 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.3183 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.4995 2023/02/02 06:17:53 - mmengine - INFO - Epoch(train) [167][ 820/1879] lr: 3.5064e-02 eta: 23:52:38 time: 0.5030 data_time: 0.0321 memory: 18108 grad_norm: 4.1138 loss: 3.6195 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1622 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.4573 2023/02/02 06:18:03 - mmengine - INFO - Epoch(train) [167][ 840/1879] lr: 3.5057e-02 eta: 23:52:28 time: 0.5087 data_time: 0.0345 memory: 18108 grad_norm: 4.1016 loss: 3.6390 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.0852 top1_acc_1: 0.6235 top5_acc_1: 0.9059 loss_cls_1: 1.5538 2023/02/02 06:18:13 - mmengine - INFO - Epoch(train) [167][ 860/1879] lr: 3.5050e-02 eta: 23:52:18 time: 0.5021 data_time: 0.0325 memory: 18108 grad_norm: 4.1025 loss: 3.3370 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.8470 top1_acc_1: 0.6000 top5_acc_1: 0.7647 loss_cls_1: 1.4900 2023/02/02 06:18:23 - mmengine - INFO - Epoch(train) [167][ 880/1879] lr: 3.5043e-02 eta: 23:52:07 time: 0.5053 data_time: 0.0403 memory: 18108 grad_norm: 4.0554 loss: 3.4608 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0285 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.4323 2023/02/02 06:18:33 - mmengine - INFO - Epoch(train) [167][ 900/1879] lr: 3.5036e-02 eta: 23:51:57 time: 0.5025 data_time: 0.0315 memory: 18108 grad_norm: 4.0248 loss: 3.5276 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0425 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.4852 2023/02/02 06:18:43 - mmengine - INFO - Epoch(train) [167][ 920/1879] lr: 3.5028e-02 eta: 23:51:47 time: 0.5030 data_time: 0.0368 memory: 18108 grad_norm: 4.1280 loss: 3.6883 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1321 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5563 2023/02/02 06:18:54 - mmengine - INFO - Epoch(train) [167][ 940/1879] lr: 3.5021e-02 eta: 23:51:37 time: 0.5139 data_time: 0.0396 memory: 18108 grad_norm: 4.1829 loss: 3.4929 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8844 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.6085 2023/02/02 06:19:03 - mmengine - INFO - Epoch(train) [167][ 960/1879] lr: 3.5014e-02 eta: 23:51:26 time: 0.4935 data_time: 0.0339 memory: 18108 grad_norm: 4.2352 loss: 3.7974 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.4253 top1_acc_1: 0.7294 top5_acc_1: 0.8353 loss_cls_1: 1.3721 2023/02/02 06:19:14 - mmengine - INFO - Epoch(train) [167][ 980/1879] lr: 3.5007e-02 eta: 23:51:16 time: 0.5068 data_time: 0.0333 memory: 18108 grad_norm: 4.0749 loss: 3.8463 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3149 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.5314 2023/02/02 06:19:24 - mmengine - INFO - Epoch(train) [167][1000/1879] lr: 3.5000e-02 eta: 23:51:06 time: 0.4933 data_time: 0.0356 memory: 18108 grad_norm: 4.0883 loss: 3.4280 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.9877 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.4402 2023/02/02 06:19:34 - mmengine - INFO - Epoch(train) [167][1020/1879] lr: 3.4992e-02 eta: 23:50:55 time: 0.5060 data_time: 0.0324 memory: 18108 grad_norm: 4.1645 loss: 3.7029 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.2764 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.4265 2023/02/02 06:19:43 - mmengine - INFO - Epoch(train) [167][1040/1879] lr: 3.4985e-02 eta: 23:50:45 time: 0.4854 data_time: 0.0369 memory: 18108 grad_norm: 4.1028 loss: 3.5348 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1035 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.4313 2023/02/02 06:19:54 - mmengine - INFO - Epoch(train) [167][1060/1879] lr: 3.4978e-02 eta: 23:50:35 time: 0.5090 data_time: 0.0319 memory: 18108 grad_norm: 4.0970 loss: 3.7882 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2148 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.5734 2023/02/02 06:20:04 - mmengine - INFO - Epoch(train) [167][1080/1879] lr: 3.4971e-02 eta: 23:50:24 time: 0.4984 data_time: 0.0421 memory: 18108 grad_norm: 4.0453 loss: 3.6161 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1479 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.4683 2023/02/02 06:20:07 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 06:20:14 - mmengine - INFO - Epoch(train) [167][1100/1879] lr: 3.4964e-02 eta: 23:50:14 time: 0.5072 data_time: 0.0319 memory: 18108 grad_norm: 4.1785 loss: 3.9743 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.5327 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.4416 2023/02/02 06:20:24 - mmengine - INFO - Epoch(train) [167][1120/1879] lr: 3.4956e-02 eta: 23:50:04 time: 0.5011 data_time: 0.0351 memory: 18108 grad_norm: 4.1197 loss: 3.5415 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0461 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.4954 2023/02/02 06:20:34 - mmengine - INFO - Epoch(train) [167][1140/1879] lr: 3.4949e-02 eta: 23:49:54 time: 0.5140 data_time: 0.0415 memory: 18108 grad_norm: 4.0757 loss: 3.6677 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.1676 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.5001 2023/02/02 06:20:44 - mmengine - INFO - Epoch(train) [167][1160/1879] lr: 3.4942e-02 eta: 23:49:43 time: 0.4946 data_time: 0.0363 memory: 18108 grad_norm: 4.0912 loss: 3.6310 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0258 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.6052 2023/02/02 06:20:54 - mmengine - INFO - Epoch(train) [167][1180/1879] lr: 3.4935e-02 eta: 23:49:33 time: 0.5014 data_time: 0.0338 memory: 18108 grad_norm: 4.0675 loss: 3.7343 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2522 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.4822 2023/02/02 06:21:04 - mmengine - INFO - Epoch(train) [167][1200/1879] lr: 3.4928e-02 eta: 23:49:23 time: 0.5082 data_time: 0.0437 memory: 18108 grad_norm: 3.9628 loss: 3.4231 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9602 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.4629 2023/02/02 06:21:14 - mmengine - INFO - Epoch(train) [167][1220/1879] lr: 3.4921e-02 eta: 23:49:12 time: 0.5105 data_time: 0.0338 memory: 18108 grad_norm: 4.1843 loss: 3.5345 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9432 top1_acc_1: 0.6353 top5_acc_1: 0.9176 loss_cls_1: 1.5912 2023/02/02 06:21:24 - mmengine - INFO - Epoch(train) [167][1240/1879] lr: 3.4913e-02 eta: 23:49:02 time: 0.4966 data_time: 0.0355 memory: 18108 grad_norm: 4.2008 loss: 3.8634 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2480 top1_acc_1: 0.5294 top5_acc_1: 0.8706 loss_cls_1: 1.6155 2023/02/02 06:21:35 - mmengine - INFO - Epoch(train) [167][1260/1879] lr: 3.4906e-02 eta: 23:48:52 time: 0.5167 data_time: 0.0319 memory: 18108 grad_norm: 3.9988 loss: 3.5683 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.0713 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.4970 2023/02/02 06:21:45 - mmengine - INFO - Epoch(train) [167][1280/1879] lr: 3.4899e-02 eta: 23:48:42 time: 0.5159 data_time: 0.0423 memory: 18108 grad_norm: 4.0881 loss: 3.6991 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1589 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.5403 2023/02/02 06:21:55 - mmengine - INFO - Epoch(train) [167][1300/1879] lr: 3.4892e-02 eta: 23:48:31 time: 0.5130 data_time: 0.0324 memory: 18108 grad_norm: 4.0671 loss: 3.6735 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.0859 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.5876 2023/02/02 06:22:05 - mmengine - INFO - Epoch(train) [167][1320/1879] lr: 3.4885e-02 eta: 23:48:21 time: 0.4949 data_time: 0.0362 memory: 18108 grad_norm: 4.0448 loss: 3.6983 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1517 top1_acc_1: 0.6000 top5_acc_1: 0.8941 loss_cls_1: 1.5466 2023/02/02 06:22:16 - mmengine - INFO - Epoch(train) [167][1340/1879] lr: 3.4877e-02 eta: 23:48:11 time: 0.5176 data_time: 0.0309 memory: 18108 grad_norm: 4.1932 loss: 3.6638 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1337 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5301 2023/02/02 06:22:26 - mmengine - INFO - Epoch(train) [167][1360/1879] lr: 3.4870e-02 eta: 23:48:01 time: 0.5041 data_time: 0.0359 memory: 18108 grad_norm: 4.0889 loss: 3.6860 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1624 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.5236 2023/02/02 06:22:36 - mmengine - INFO - Epoch(train) [167][1380/1879] lr: 3.4863e-02 eta: 23:47:50 time: 0.5096 data_time: 0.0312 memory: 18108 grad_norm: 4.1918 loss: 3.6939 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2203 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.4736 2023/02/02 06:22:46 - mmengine - INFO - Epoch(train) [167][1400/1879] lr: 3.4856e-02 eta: 23:47:40 time: 0.5123 data_time: 0.0439 memory: 18108 grad_norm: 4.1673 loss: 3.6919 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1596 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.5322 2023/02/02 06:22:57 - mmengine - INFO - Epoch(train) [167][1420/1879] lr: 3.4849e-02 eta: 23:47:30 time: 0.5193 data_time: 0.0325 memory: 18108 grad_norm: 4.1416 loss: 3.6530 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0467 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.6064 2023/02/02 06:23:07 - mmengine - INFO - Epoch(train) [167][1440/1879] lr: 3.4842e-02 eta: 23:47:20 time: 0.5006 data_time: 0.0380 memory: 18108 grad_norm: 4.0525 loss: 3.5054 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9954 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.5100 2023/02/02 06:23:17 - mmengine - INFO - Epoch(train) [167][1460/1879] lr: 3.4834e-02 eta: 23:47:10 time: 0.5200 data_time: 0.0315 memory: 18108 grad_norm: 4.2250 loss: 3.7149 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1947 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.5202 2023/02/02 06:23:28 - mmengine - INFO - Epoch(train) [167][1480/1879] lr: 3.4827e-02 eta: 23:47:00 time: 0.5240 data_time: 0.0419 memory: 18108 grad_norm: 4.1151 loss: 3.5641 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0502 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.5139 2023/02/02 06:23:38 - mmengine - INFO - Epoch(train) [167][1500/1879] lr: 3.4820e-02 eta: 23:46:49 time: 0.5006 data_time: 0.0315 memory: 18108 grad_norm: 4.0263 loss: 3.7612 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1048 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.6564 2023/02/02 06:23:48 - mmengine - INFO - Epoch(train) [167][1520/1879] lr: 3.4813e-02 eta: 23:46:39 time: 0.5134 data_time: 0.0367 memory: 18108 grad_norm: 4.1367 loss: 3.4403 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9137 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.5266 2023/02/02 06:23:58 - mmengine - INFO - Epoch(train) [167][1540/1879] lr: 3.4806e-02 eta: 23:46:29 time: 0.5128 data_time: 0.0323 memory: 18108 grad_norm: 4.0912 loss: 3.5256 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.0389 top1_acc_1: 0.6471 top5_acc_1: 0.7765 loss_cls_1: 1.4867 2023/02/02 06:24:09 - mmengine - INFO - Epoch(train) [167][1560/1879] lr: 3.4799e-02 eta: 23:46:19 time: 0.5229 data_time: 0.0359 memory: 18108 grad_norm: 4.0474 loss: 3.6789 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.1930 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.4859 2023/02/02 06:24:19 - mmengine - INFO - Epoch(train) [167][1580/1879] lr: 3.4791e-02 eta: 23:46:09 time: 0.5184 data_time: 0.0338 memory: 18108 grad_norm: 4.1638 loss: 3.5963 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0733 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.5230 2023/02/02 06:24:29 - mmengine - INFO - Epoch(train) [167][1600/1879] lr: 3.4784e-02 eta: 23:45:58 time: 0.5070 data_time: 0.0355 memory: 18108 grad_norm: 4.1149 loss: 3.4625 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.9505 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.5120 2023/02/02 06:24:40 - mmengine - INFO - Epoch(train) [167][1620/1879] lr: 3.4777e-02 eta: 23:45:48 time: 0.5301 data_time: 0.0333 memory: 18108 grad_norm: 4.2109 loss: 3.5236 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0190 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.5046 2023/02/02 06:24:50 - mmengine - INFO - Epoch(train) [167][1640/1879] lr: 3.4770e-02 eta: 23:45:38 time: 0.5013 data_time: 0.0377 memory: 18108 grad_norm: 4.1047 loss: 3.5562 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.0579 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.4983 2023/02/02 06:25:00 - mmengine - INFO - Epoch(train) [167][1660/1879] lr: 3.4763e-02 eta: 23:45:28 time: 0.5201 data_time: 0.0306 memory: 18108 grad_norm: 4.1749 loss: 3.5646 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.0480 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.5165 2023/02/02 06:25:11 - mmengine - INFO - Epoch(train) [167][1680/1879] lr: 3.4756e-02 eta: 23:45:18 time: 0.5379 data_time: 0.0344 memory: 18108 grad_norm: 4.1152 loss: 3.8314 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3790 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.4524 2023/02/02 06:25:21 - mmengine - INFO - Epoch(train) [167][1700/1879] lr: 3.4748e-02 eta: 23:45:08 time: 0.5029 data_time: 0.0319 memory: 18108 grad_norm: 4.1637 loss: 3.7931 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.2680 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.5251 2023/02/02 06:25:31 - mmengine - INFO - Epoch(train) [167][1720/1879] lr: 3.4741e-02 eta: 23:44:58 time: 0.5118 data_time: 0.0361 memory: 18108 grad_norm: 4.1258 loss: 3.8038 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.2417 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.5621 2023/02/02 06:25:42 - mmengine - INFO - Epoch(train) [167][1740/1879] lr: 3.4734e-02 eta: 23:44:47 time: 0.5147 data_time: 0.0319 memory: 18108 grad_norm: 4.0964 loss: 3.4389 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.9376 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.5014 2023/02/02 06:25:52 - mmengine - INFO - Epoch(train) [167][1760/1879] lr: 3.4727e-02 eta: 23:44:37 time: 0.5150 data_time: 0.0365 memory: 18108 grad_norm: 4.2136 loss: 3.6804 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2291 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.4513 2023/02/02 06:26:02 - mmengine - INFO - Epoch(train) [167][1780/1879] lr: 3.4720e-02 eta: 23:44:27 time: 0.5165 data_time: 0.0323 memory: 18108 grad_norm: 4.0763 loss: 3.4783 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9804 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.4979 2023/02/02 06:26:13 - mmengine - INFO - Epoch(train) [167][1800/1879] lr: 3.4712e-02 eta: 23:44:17 time: 0.5184 data_time: 0.0348 memory: 18108 grad_norm: 4.1823 loss: 3.8811 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3510 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.5301 2023/02/02 06:26:23 - mmengine - INFO - Epoch(train) [167][1820/1879] lr: 3.4705e-02 eta: 23:44:07 time: 0.5142 data_time: 0.0317 memory: 18108 grad_norm: 4.1108 loss: 3.5098 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 1.9441 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.5657 2023/02/02 06:26:33 - mmengine - INFO - Epoch(train) [167][1840/1879] lr: 3.4698e-02 eta: 23:43:56 time: 0.4970 data_time: 0.0363 memory: 18108 grad_norm: 4.1228 loss: 3.7030 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2065 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.4965 2023/02/02 06:26:43 - mmengine - INFO - Epoch(train) [167][1860/1879] lr: 3.4691e-02 eta: 23:43:46 time: 0.5201 data_time: 0.0315 memory: 18108 grad_norm: 4.1485 loss: 3.5910 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0917 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.4993 2023/02/02 06:26:53 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 06:26:53 - mmengine - INFO - Epoch(train) [167][1879/1879] lr: 3.4684e-02 eta: 23:43:36 time: 0.4970 data_time: 0.0325 memory: 18108 grad_norm: 4.1552 loss: 3.4166 top1_acc_0: 0.2857 top5_acc_0: 0.2857 loss_cls_0: 2.0012 top1_acc_1: 0.6235 top5_acc_1: 0.9059 loss_cls_1: 1.4153 2023/02/02 06:27:08 - mmengine - INFO - Epoch(train) [168][ 20/1879] lr: 3.4677e-02 eta: 23:43:28 time: 0.7130 data_time: 0.2574 memory: 18108 grad_norm: 3.9778 loss: 3.4758 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9610 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5148 2023/02/02 06:27:18 - mmengine - INFO - Epoch(train) [168][ 40/1879] lr: 3.4670e-02 eta: 23:43:18 time: 0.4842 data_time: 0.0344 memory: 18108 grad_norm: 4.1437 loss: 3.5987 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1901 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.4086 2023/02/02 06:27:27 - mmengine - INFO - Epoch(train) [168][ 60/1879] lr: 3.4663e-02 eta: 23:43:07 time: 0.4814 data_time: 0.0357 memory: 18108 grad_norm: 4.0645 loss: 3.6067 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1285 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.4782 2023/02/02 06:27:38 - mmengine - INFO - Epoch(train) [168][ 80/1879] lr: 3.4655e-02 eta: 23:42:57 time: 0.5241 data_time: 0.0348 memory: 18108 grad_norm: 4.0180 loss: 3.5759 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.1210 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.4549 2023/02/02 06:27:47 - mmengine - INFO - Epoch(train) [168][ 100/1879] lr: 3.4648e-02 eta: 23:42:47 time: 0.4834 data_time: 0.0375 memory: 18108 grad_norm: 4.0668 loss: 3.6563 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1854 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.4710 2023/02/02 06:27:57 - mmengine - INFO - Epoch(train) [168][ 120/1879] lr: 3.4641e-02 eta: 23:42:36 time: 0.4776 data_time: 0.0344 memory: 18108 grad_norm: 4.1424 loss: 3.4893 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0169 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.4725 2023/02/02 06:28:07 - mmengine - INFO - Epoch(train) [168][ 140/1879] lr: 3.4634e-02 eta: 23:42:26 time: 0.5146 data_time: 0.0416 memory: 18108 grad_norm: 4.0803 loss: 3.6577 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1811 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.4766 2023/02/02 06:28:17 - mmengine - INFO - Epoch(train) [168][ 160/1879] lr: 3.4627e-02 eta: 23:42:15 time: 0.4814 data_time: 0.0343 memory: 18108 grad_norm: 4.1808 loss: 3.5436 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.1843 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.3593 2023/02/02 06:28:27 - mmengine - INFO - Epoch(train) [168][ 180/1879] lr: 3.4620e-02 eta: 23:42:05 time: 0.4843 data_time: 0.0363 memory: 18108 grad_norm: 3.9927 loss: 3.4002 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.9338 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.4664 2023/02/02 06:28:36 - mmengine - INFO - Epoch(train) [168][ 200/1879] lr: 3.4612e-02 eta: 23:41:55 time: 0.4890 data_time: 0.0346 memory: 18108 grad_norm: 4.1221 loss: 3.5625 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0817 top1_acc_1: 0.5647 top5_acc_1: 0.9176 loss_cls_1: 1.4809 2023/02/02 06:28:40 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 06:28:47 - mmengine - INFO - Epoch(train) [168][ 220/1879] lr: 3.4605e-02 eta: 23:41:44 time: 0.5111 data_time: 0.0421 memory: 18108 grad_norm: 4.0179 loss: 3.3233 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9646 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.3587 2023/02/02 06:28:56 - mmengine - INFO - Epoch(train) [168][ 240/1879] lr: 3.4598e-02 eta: 23:41:34 time: 0.4820 data_time: 0.0345 memory: 18108 grad_norm: 3.9806 loss: 3.3499 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9024 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.4475 2023/02/02 06:29:06 - mmengine - INFO - Epoch(train) [168][ 260/1879] lr: 3.4591e-02 eta: 23:41:23 time: 0.4942 data_time: 0.0351 memory: 18108 grad_norm: 4.1502 loss: 3.4915 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.1275 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.3640 2023/02/02 06:29:16 - mmengine - INFO - Epoch(train) [168][ 280/1879] lr: 3.4584e-02 eta: 23:41:13 time: 0.5056 data_time: 0.0340 memory: 18108 grad_norm: 4.0821 loss: 3.6755 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1316 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.5439 2023/02/02 06:29:26 - mmengine - INFO - Epoch(train) [168][ 300/1879] lr: 3.4577e-02 eta: 23:41:03 time: 0.5024 data_time: 0.0355 memory: 18108 grad_norm: 4.0847 loss: 3.6003 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1379 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.4624 2023/02/02 06:29:36 - mmengine - INFO - Epoch(train) [168][ 320/1879] lr: 3.4569e-02 eta: 23:40:52 time: 0.4995 data_time: 0.0336 memory: 18108 grad_norm: 4.0831 loss: 3.5227 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1329 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.3897 2023/02/02 06:29:47 - mmengine - INFO - Epoch(train) [168][ 340/1879] lr: 3.4562e-02 eta: 23:40:42 time: 0.5065 data_time: 0.0341 memory: 18108 grad_norm: 4.2099 loss: 3.5212 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1088 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.4124 2023/02/02 06:29:57 - mmengine - INFO - Epoch(train) [168][ 360/1879] lr: 3.4555e-02 eta: 23:40:32 time: 0.5005 data_time: 0.0345 memory: 18108 grad_norm: 4.1739 loss: 3.5736 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1157 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4579 2023/02/02 06:30:07 - mmengine - INFO - Epoch(train) [168][ 380/1879] lr: 3.4548e-02 eta: 23:40:22 time: 0.4980 data_time: 0.0375 memory: 18108 grad_norm: 4.1634 loss: 3.4119 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.9838 top1_acc_1: 0.6235 top5_acc_1: 0.8941 loss_cls_1: 1.4281 2023/02/02 06:30:17 - mmengine - INFO - Epoch(train) [168][ 400/1879] lr: 3.4541e-02 eta: 23:40:11 time: 0.5033 data_time: 0.0350 memory: 18108 grad_norm: 4.1504 loss: 3.5723 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 2.0778 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.4945 2023/02/02 06:30:27 - mmengine - INFO - Epoch(train) [168][ 420/1879] lr: 3.4534e-02 eta: 23:40:01 time: 0.5213 data_time: 0.0298 memory: 18108 grad_norm: 4.1852 loss: 3.3684 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.9032 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.4652 2023/02/02 06:30:37 - mmengine - INFO - Epoch(train) [168][ 440/1879] lr: 3.4527e-02 eta: 23:39:51 time: 0.5085 data_time: 0.0380 memory: 18108 grad_norm: 4.1503 loss: 3.6438 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1367 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.5071 2023/02/02 06:30:48 - mmengine - INFO - Epoch(train) [168][ 460/1879] lr: 3.4519e-02 eta: 23:39:41 time: 0.5178 data_time: 0.0314 memory: 18108 grad_norm: 4.1578 loss: 3.7463 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.2364 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5099 2023/02/02 06:30:58 - mmengine - INFO - Epoch(train) [168][ 480/1879] lr: 3.4512e-02 eta: 23:39:31 time: 0.5154 data_time: 0.0368 memory: 18108 grad_norm: 4.0750 loss: 3.7031 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.1540 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.5491 2023/02/02 06:31:08 - mmengine - INFO - Epoch(train) [168][ 500/1879] lr: 3.4505e-02 eta: 23:39:20 time: 0.5137 data_time: 0.0318 memory: 18108 grad_norm: 4.1750 loss: 3.5556 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1315 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.4241 2023/02/02 06:31:18 - mmengine - INFO - Epoch(train) [168][ 520/1879] lr: 3.4498e-02 eta: 23:39:10 time: 0.5011 data_time: 0.0349 memory: 18108 grad_norm: 4.0722 loss: 3.5385 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0430 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.4955 2023/02/02 06:31:29 - mmengine - INFO - Epoch(train) [168][ 540/1879] lr: 3.4491e-02 eta: 23:39:00 time: 0.5124 data_time: 0.0350 memory: 18108 grad_norm: 4.2382 loss: 3.4279 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9299 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.4981 2023/02/02 06:31:39 - mmengine - INFO - Epoch(train) [168][ 560/1879] lr: 3.4484e-02 eta: 23:38:50 time: 0.5226 data_time: 0.0396 memory: 18108 grad_norm: 4.1584 loss: 3.6495 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0960 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.5535 2023/02/02 06:31:50 - mmengine - INFO - Epoch(train) [168][ 580/1879] lr: 3.4476e-02 eta: 23:38:40 time: 0.5255 data_time: 0.0354 memory: 18108 grad_norm: 4.2331 loss: 3.7991 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.3059 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.4932 2023/02/02 06:32:00 - mmengine - INFO - Epoch(train) [168][ 600/1879] lr: 3.4469e-02 eta: 23:38:30 time: 0.5184 data_time: 0.0325 memory: 18108 grad_norm: 4.1076 loss: 3.6927 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.2093 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.4834 2023/02/02 06:32:11 - mmengine - INFO - Epoch(train) [168][ 620/1879] lr: 3.4462e-02 eta: 23:38:20 time: 0.5396 data_time: 0.0415 memory: 18108 grad_norm: 4.0658 loss: 3.6363 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.1984 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.4379 2023/02/02 06:32:21 - mmengine - INFO - Epoch(train) [168][ 640/1879] lr: 3.4455e-02 eta: 23:38:09 time: 0.5094 data_time: 0.0325 memory: 18108 grad_norm: 4.0636 loss: 3.6288 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1360 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.4928 2023/02/02 06:32:32 - mmengine - INFO - Epoch(train) [168][ 660/1879] lr: 3.4448e-02 eta: 23:37:59 time: 0.5309 data_time: 0.0334 memory: 18108 grad_norm: 4.1250 loss: 3.8997 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 2.2970 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.6027 2023/02/02 06:32:42 - mmengine - INFO - Epoch(train) [168][ 680/1879] lr: 3.4441e-02 eta: 23:37:49 time: 0.5175 data_time: 0.0410 memory: 18108 grad_norm: 4.1539 loss: 3.4934 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.0494 top1_acc_1: 0.7294 top5_acc_1: 0.9529 loss_cls_1: 1.4441 2023/02/02 06:32:53 - mmengine - INFO - Epoch(train) [168][ 700/1879] lr: 3.4433e-02 eta: 23:37:39 time: 0.5294 data_time: 0.0335 memory: 18108 grad_norm: 4.0848 loss: 3.7542 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3160 top1_acc_1: 0.5647 top5_acc_1: 0.8588 loss_cls_1: 1.4383 2023/02/02 06:33:03 - mmengine - INFO - Epoch(train) [168][ 720/1879] lr: 3.4426e-02 eta: 23:37:29 time: 0.5206 data_time: 0.0333 memory: 18108 grad_norm: 4.0392 loss: 3.5079 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.0290 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.4789 2023/02/02 06:33:14 - mmengine - INFO - Epoch(train) [168][ 740/1879] lr: 3.4419e-02 eta: 23:37:19 time: 0.5282 data_time: 0.0325 memory: 18108 grad_norm: 4.0923 loss: 3.5047 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0515 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.4531 2023/02/02 06:33:24 - mmengine - INFO - Epoch(train) [168][ 760/1879] lr: 3.4412e-02 eta: 23:37:09 time: 0.5269 data_time: 0.0411 memory: 18108 grad_norm: 3.9958 loss: 3.6731 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 2.1945 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.4786 2023/02/02 06:33:35 - mmengine - INFO - Epoch(train) [168][ 780/1879] lr: 3.4405e-02 eta: 23:36:59 time: 0.5228 data_time: 0.0348 memory: 18108 grad_norm: 4.1426 loss: 3.7552 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2502 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.5050 2023/02/02 06:33:45 - mmengine - INFO - Epoch(train) [168][ 800/1879] lr: 3.4398e-02 eta: 23:36:49 time: 0.5235 data_time: 0.0351 memory: 18108 grad_norm: 4.0892 loss: 3.3938 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9783 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.4155 2023/02/02 06:33:56 - mmengine - INFO - Epoch(train) [168][ 820/1879] lr: 3.4391e-02 eta: 23:36:39 time: 0.5232 data_time: 0.0387 memory: 18108 grad_norm: 4.0748 loss: 3.6421 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.0987 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.5434 2023/02/02 06:34:06 - mmengine - INFO - Epoch(train) [168][ 840/1879] lr: 3.4383e-02 eta: 23:36:29 time: 0.5205 data_time: 0.0338 memory: 18108 grad_norm: 4.1251 loss: 3.5564 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0719 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.4845 2023/02/02 06:34:17 - mmengine - INFO - Epoch(train) [168][ 860/1879] lr: 3.4376e-02 eta: 23:36:19 time: 0.5400 data_time: 0.0346 memory: 18108 grad_norm: 4.1100 loss: 3.5811 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0532 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.5278 2023/02/02 06:34:27 - mmengine - INFO - Epoch(train) [168][ 880/1879] lr: 3.4369e-02 eta: 23:36:09 time: 0.5074 data_time: 0.0337 memory: 18108 grad_norm: 4.1494 loss: 3.7761 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2722 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.5040 2023/02/02 06:34:37 - mmengine - INFO - Epoch(train) [168][ 900/1879] lr: 3.4362e-02 eta: 23:35:58 time: 0.5173 data_time: 0.0340 memory: 18108 grad_norm: 4.2051 loss: 3.5492 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.0679 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.4813 2023/02/02 06:34:48 - mmengine - INFO - Epoch(train) [168][ 920/1879] lr: 3.4355e-02 eta: 23:35:48 time: 0.5097 data_time: 0.0347 memory: 18108 grad_norm: 4.0810 loss: 3.4471 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9740 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.4732 2023/02/02 06:34:58 - mmengine - INFO - Epoch(train) [168][ 940/1879] lr: 3.4348e-02 eta: 23:35:38 time: 0.5339 data_time: 0.0344 memory: 18108 grad_norm: 4.1271 loss: 3.6804 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1842 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.4962 2023/02/02 06:35:09 - mmengine - INFO - Epoch(train) [168][ 960/1879] lr: 3.4340e-02 eta: 23:35:28 time: 0.5162 data_time: 0.0384 memory: 18108 grad_norm: 4.0812 loss: 3.5896 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.1118 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 1.4778 2023/02/02 06:35:19 - mmengine - INFO - Epoch(train) [168][ 980/1879] lr: 3.4333e-02 eta: 23:35:18 time: 0.5159 data_time: 0.0365 memory: 18108 grad_norm: 4.1926 loss: 3.5480 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0725 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.4755 2023/02/02 06:35:30 - mmengine - INFO - Epoch(train) [168][1000/1879] lr: 3.4326e-02 eta: 23:35:08 time: 0.5266 data_time: 0.0335 memory: 18108 grad_norm: 4.1180 loss: 3.5243 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.0200 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.5043 2023/02/02 06:35:40 - mmengine - INFO - Epoch(train) [168][1020/1879] lr: 3.4319e-02 eta: 23:34:58 time: 0.5270 data_time: 0.0435 memory: 18108 grad_norm: 4.1607 loss: 3.7579 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2089 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.5490 2023/02/02 06:35:51 - mmengine - INFO - Epoch(train) [168][1040/1879] lr: 3.4312e-02 eta: 23:34:48 time: 0.5248 data_time: 0.0379 memory: 18108 grad_norm: 4.1287 loss: 3.5680 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.0290 top1_acc_1: 0.6941 top5_acc_1: 0.7882 loss_cls_1: 1.5390 2023/02/02 06:36:01 - mmengine - INFO - Epoch(train) [168][1060/1879] lr: 3.4305e-02 eta: 23:34:38 time: 0.5323 data_time: 0.0316 memory: 18108 grad_norm: 4.0803 loss: 3.4580 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9670 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.4910 2023/02/02 06:36:12 - mmengine - INFO - Epoch(train) [168][1080/1879] lr: 3.4298e-02 eta: 23:34:28 time: 0.5235 data_time: 0.0439 memory: 18108 grad_norm: 4.0471 loss: 3.5827 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0752 top1_acc_1: 0.5176 top5_acc_1: 0.7294 loss_cls_1: 1.5075 2023/02/02 06:36:22 - mmengine - INFO - Epoch(train) [168][1100/1879] lr: 3.4290e-02 eta: 23:34:18 time: 0.5233 data_time: 0.0303 memory: 18108 grad_norm: 4.1756 loss: 3.6399 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2132 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.4267 2023/02/02 06:36:33 - mmengine - INFO - Epoch(train) [168][1120/1879] lr: 3.4283e-02 eta: 23:34:08 time: 0.5218 data_time: 0.0351 memory: 18108 grad_norm: 4.2114 loss: 3.6738 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.1917 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.4821 2023/02/02 06:36:43 - mmengine - INFO - Epoch(train) [168][1140/1879] lr: 3.4276e-02 eta: 23:33:57 time: 0.5255 data_time: 0.0318 memory: 18108 grad_norm: 4.2048 loss: 3.6080 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1194 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.4886 2023/02/02 06:36:53 - mmengine - INFO - Epoch(train) [168][1160/1879] lr: 3.4269e-02 eta: 23:33:47 time: 0.5082 data_time: 0.0376 memory: 18108 grad_norm: 4.1076 loss: 3.4247 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.0285 top1_acc_1: 0.6235 top5_acc_1: 0.9059 loss_cls_1: 1.3962 2023/02/02 06:37:04 - mmengine - INFO - Epoch(train) [168][1180/1879] lr: 3.4262e-02 eta: 23:33:37 time: 0.5056 data_time: 0.0335 memory: 18108 grad_norm: 4.0852 loss: 3.6232 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2143 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.4089 2023/02/02 06:37:14 - mmengine - INFO - Epoch(train) [168][1200/1879] lr: 3.4255e-02 eta: 23:33:27 time: 0.5180 data_time: 0.0379 memory: 18108 grad_norm: 4.1026 loss: 3.7308 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2388 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.4919 2023/02/02 06:37:18 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 06:37:24 - mmengine - INFO - Epoch(train) [168][1220/1879] lr: 3.4247e-02 eta: 23:33:17 time: 0.5200 data_time: 0.0389 memory: 18108 grad_norm: 4.1982 loss: 3.6957 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.1957 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.5000 2023/02/02 06:37:35 - mmengine - INFO - Epoch(train) [168][1240/1879] lr: 3.4240e-02 eta: 23:33:06 time: 0.5085 data_time: 0.0371 memory: 18108 grad_norm: 4.0892 loss: 3.4044 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 1.9090 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.4954 2023/02/02 06:37:45 - mmengine - INFO - Epoch(train) [168][1260/1879] lr: 3.4233e-02 eta: 23:32:56 time: 0.5202 data_time: 0.0307 memory: 18108 grad_norm: 4.1213 loss: 3.4686 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9195 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5491 2023/02/02 06:37:55 - mmengine - INFO - Epoch(train) [168][1280/1879] lr: 3.4226e-02 eta: 23:32:46 time: 0.5028 data_time: 0.0361 memory: 18108 grad_norm: 4.1916 loss: 3.3676 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.8649 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.5027 2023/02/02 06:38:06 - mmengine - INFO - Epoch(train) [168][1300/1879] lr: 3.4219e-02 eta: 23:32:36 time: 0.5221 data_time: 0.0426 memory: 18108 grad_norm: 4.0968 loss: 3.7649 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2712 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.4936 2023/02/02 06:38:16 - mmengine - INFO - Epoch(train) [168][1320/1879] lr: 3.4212e-02 eta: 23:32:26 time: 0.5082 data_time: 0.0384 memory: 18108 grad_norm: 4.0930 loss: 3.6889 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1775 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.5114 2023/02/02 06:38:26 - mmengine - INFO - Epoch(train) [168][1340/1879] lr: 3.4205e-02 eta: 23:32:16 time: 0.5170 data_time: 0.0328 memory: 18108 grad_norm: 4.1344 loss: 3.4887 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.9869 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5018 2023/02/02 06:38:36 - mmengine - INFO - Epoch(train) [168][1360/1879] lr: 3.4197e-02 eta: 23:32:05 time: 0.5011 data_time: 0.0429 memory: 18108 grad_norm: 4.1084 loss: 3.6850 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1115 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.5735 2023/02/02 06:38:47 - mmengine - INFO - Epoch(train) [168][1380/1879] lr: 3.4190e-02 eta: 23:31:55 time: 0.5175 data_time: 0.0342 memory: 18108 grad_norm: 4.0722 loss: 3.4220 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0173 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.4047 2023/02/02 06:38:57 - mmengine - INFO - Epoch(train) [168][1400/1879] lr: 3.4183e-02 eta: 23:31:45 time: 0.5010 data_time: 0.0369 memory: 18108 grad_norm: 4.0803 loss: 3.5231 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0116 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.5115 2023/02/02 06:39:07 - mmengine - INFO - Epoch(train) [168][1420/1879] lr: 3.4176e-02 eta: 23:31:34 time: 0.5047 data_time: 0.0349 memory: 18108 grad_norm: 4.1059 loss: 3.5861 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1278 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.4583 2023/02/02 06:39:17 - mmengine - INFO - Epoch(train) [168][1440/1879] lr: 3.4169e-02 eta: 23:31:24 time: 0.5195 data_time: 0.0449 memory: 18108 grad_norm: 4.1576 loss: 3.5539 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.0749 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.4790 2023/02/02 06:39:27 - mmengine - INFO - Epoch(train) [168][1460/1879] lr: 3.4162e-02 eta: 23:31:14 time: 0.5070 data_time: 0.0340 memory: 18108 grad_norm: 4.0768 loss: 3.5334 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0398 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.4936 2023/02/02 06:39:37 - mmengine - INFO - Epoch(train) [168][1480/1879] lr: 3.4155e-02 eta: 23:31:04 time: 0.5057 data_time: 0.0384 memory: 18108 grad_norm: 4.1450 loss: 3.4755 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.0334 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4421 2023/02/02 06:39:48 - mmengine - INFO - Epoch(train) [168][1500/1879] lr: 3.4147e-02 eta: 23:30:54 time: 0.5218 data_time: 0.0393 memory: 18108 grad_norm: 4.1101 loss: 3.6602 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0899 top1_acc_1: 0.6824 top5_acc_1: 0.8000 loss_cls_1: 1.5703 2023/02/02 06:39:58 - mmengine - INFO - Epoch(train) [168][1520/1879] lr: 3.4140e-02 eta: 23:30:43 time: 0.5072 data_time: 0.0369 memory: 18108 grad_norm: 4.1909 loss: 3.6217 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.0904 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.5313 2023/02/02 06:40:08 - mmengine - INFO - Epoch(train) [168][1540/1879] lr: 3.4133e-02 eta: 23:30:33 time: 0.5232 data_time: 0.0339 memory: 18108 grad_norm: 4.1272 loss: 3.6207 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0887 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.5321 2023/02/02 06:40:19 - mmengine - INFO - Epoch(train) [168][1560/1879] lr: 3.4126e-02 eta: 23:30:23 time: 0.5014 data_time: 0.0375 memory: 18108 grad_norm: 4.1486 loss: 3.4379 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9739 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.4640 2023/02/02 06:40:29 - mmengine - INFO - Epoch(train) [168][1580/1879] lr: 3.4119e-02 eta: 23:30:13 time: 0.5337 data_time: 0.0402 memory: 18108 grad_norm: 4.1547 loss: 3.8738 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.4311 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.4428 2023/02/02 06:40:39 - mmengine - INFO - Epoch(train) [168][1600/1879] lr: 3.4112e-02 eta: 23:30:03 time: 0.5081 data_time: 0.0359 memory: 18108 grad_norm: 4.1978 loss: 3.6893 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1324 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.5569 2023/02/02 06:40:50 - mmengine - INFO - Epoch(train) [168][1620/1879] lr: 3.4105e-02 eta: 23:29:53 time: 0.5152 data_time: 0.0327 memory: 18108 grad_norm: 4.2425 loss: 3.7060 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2578 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.4482 2023/02/02 06:41:00 - mmengine - INFO - Epoch(train) [168][1640/1879] lr: 3.4097e-02 eta: 23:29:43 time: 0.5232 data_time: 0.0370 memory: 18108 grad_norm: 4.1866 loss: 3.7010 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.1377 top1_acc_1: 0.5647 top5_acc_1: 0.7647 loss_cls_1: 1.5633 2023/02/02 06:41:10 - mmengine - INFO - Epoch(train) [168][1660/1879] lr: 3.4090e-02 eta: 23:29:32 time: 0.5127 data_time: 0.0343 memory: 18108 grad_norm: 4.0599 loss: 3.6845 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1740 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.5104 2023/02/02 06:41:21 - mmengine - INFO - Epoch(train) [168][1680/1879] lr: 3.4083e-02 eta: 23:29:22 time: 0.5146 data_time: 0.0354 memory: 18108 grad_norm: 4.1305 loss: 3.9626 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.4595 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.5031 2023/02/02 06:41:32 - mmengine - INFO - Epoch(train) [168][1700/1879] lr: 3.4076e-02 eta: 23:29:12 time: 0.5416 data_time: 0.0333 memory: 18108 grad_norm: 4.1858 loss: 3.7543 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2556 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.4987 2023/02/02 06:41:42 - mmengine - INFO - Epoch(train) [168][1720/1879] lr: 3.4069e-02 eta: 23:29:02 time: 0.5252 data_time: 0.0484 memory: 18108 grad_norm: 4.1762 loss: 3.5199 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 1.9423 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.5776 2023/02/02 06:41:53 - mmengine - INFO - Epoch(train) [168][1740/1879] lr: 3.4062e-02 eta: 23:28:52 time: 0.5327 data_time: 0.0336 memory: 18108 grad_norm: 4.1828 loss: 3.7327 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1812 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.5516 2023/02/02 06:42:03 - mmengine - INFO - Epoch(train) [168][1760/1879] lr: 3.4055e-02 eta: 23:28:42 time: 0.5226 data_time: 0.0364 memory: 18108 grad_norm: 4.1710 loss: 3.5293 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0638 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.4655 2023/02/02 06:42:14 - mmengine - INFO - Epoch(train) [168][1780/1879] lr: 3.4047e-02 eta: 23:28:32 time: 0.5406 data_time: 0.0333 memory: 18108 grad_norm: 4.1259 loss: 3.6414 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1693 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.4721 2023/02/02 06:42:25 - mmengine - INFO - Epoch(train) [168][1800/1879] lr: 3.4040e-02 eta: 23:28:22 time: 0.5197 data_time: 0.0356 memory: 18108 grad_norm: 4.0788 loss: 3.6654 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2038 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.4616 2023/02/02 06:42:35 - mmengine - INFO - Epoch(train) [168][1820/1879] lr: 3.4033e-02 eta: 23:28:12 time: 0.5234 data_time: 0.0327 memory: 18108 grad_norm: 4.1820 loss: 3.4546 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.9596 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.4950 2023/02/02 06:42:46 - mmengine - INFO - Epoch(train) [168][1840/1879] lr: 3.4026e-02 eta: 23:28:02 time: 0.5434 data_time: 0.0364 memory: 18108 grad_norm: 4.1376 loss: 3.7770 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2534 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.5236 2023/02/02 06:42:56 - mmengine - INFO - Epoch(train) [168][1860/1879] lr: 3.4019e-02 eta: 23:27:52 time: 0.5223 data_time: 0.0381 memory: 18108 grad_norm: 4.0613 loss: 3.6709 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.1507 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.5202 2023/02/02 06:43:06 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 06:43:06 - mmengine - INFO - Epoch(train) [168][1879/1879] lr: 3.4012e-02 eta: 23:27:42 time: 0.4938 data_time: 0.0282 memory: 18108 grad_norm: 4.2581 loss: 3.6181 top1_acc_0: 0.7143 top5_acc_0: 0.7143 loss_cls_0: 2.1352 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.4828 2023/02/02 06:43:06 - mmengine - INFO - Saving checkpoint at 168 epochs 2023/02/02 06:43:17 - mmengine - INFO - Epoch(val) [168][ 20/155] eta: 0:01:02 time: 0.4645 data_time: 0.3524 memory: 1906 2023/02/02 06:43:26 - mmengine - INFO - Epoch(val) [168][ 40/155] eta: 0:00:51 time: 0.4347 data_time: 0.3232 memory: 1906 2023/02/02 06:43:35 - mmengine - INFO - Epoch(val) [168][ 60/155] eta: 0:00:42 time: 0.4298 data_time: 0.3193 memory: 1906 2023/02/02 06:43:44 - mmengine - INFO - Epoch(val) [168][ 80/155] eta: 0:00:33 time: 0.4548 data_time: 0.3441 memory: 1906 2023/02/02 06:43:53 - mmengine - INFO - Epoch(val) [168][100/155] eta: 0:00:24 time: 0.4489 data_time: 0.3390 memory: 1906 2023/02/02 06:44:02 - mmengine - INFO - Epoch(val) [168][120/155] eta: 0:00:15 time: 0.4528 data_time: 0.3429 memory: 1906 2023/02/02 06:44:10 - mmengine - INFO - Epoch(val) [168][140/155] eta: 0:00:06 time: 0.4350 data_time: 0.3245 memory: 1906 2023/02/02 06:44:18 - mmengine - INFO - Epoch(val) [168][155/155] acc/top1: 0.5285 acc/top5: 0.7731 acc/mean1: 0.5283 2023/02/02 06:44:33 - mmengine - INFO - Epoch(train) [169][ 20/1879] lr: 3.4005e-02 eta: 23:27:34 time: 0.7321 data_time: 0.2546 memory: 18108 grad_norm: 4.0403 loss: 3.3097 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8476 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.4621 2023/02/02 06:44:42 - mmengine - INFO - Epoch(train) [169][ 40/1879] lr: 3.3998e-02 eta: 23:27:24 time: 0.4784 data_time: 0.0353 memory: 18108 grad_norm: 4.1592 loss: 3.3853 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9991 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.3862 2023/02/02 06:44:52 - mmengine - INFO - Epoch(train) [169][ 60/1879] lr: 3.3991e-02 eta: 23:27:13 time: 0.4970 data_time: 0.0357 memory: 18108 grad_norm: 4.1169 loss: 3.6764 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.1959 top1_acc_1: 0.5412 top5_acc_1: 0.7647 loss_cls_1: 1.4805 2023/02/02 06:45:03 - mmengine - INFO - Epoch(train) [169][ 80/1879] lr: 3.3984e-02 eta: 23:27:03 time: 0.5391 data_time: 0.0320 memory: 18108 grad_norm: 4.0557 loss: 3.6890 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0876 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.6014 2023/02/02 06:45:13 - mmengine - INFO - Epoch(train) [169][ 100/1879] lr: 3.3976e-02 eta: 23:26:53 time: 0.4799 data_time: 0.0363 memory: 18108 grad_norm: 4.0704 loss: 3.5477 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0571 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.4906 2023/02/02 06:45:22 - mmengine - INFO - Epoch(train) [169][ 120/1879] lr: 3.3969e-02 eta: 23:26:42 time: 0.4718 data_time: 0.0337 memory: 18108 grad_norm: 4.1917 loss: 3.6229 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1795 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.4435 2023/02/02 06:45:33 - mmengine - INFO - Epoch(train) [169][ 140/1879] lr: 3.3962e-02 eta: 23:26:32 time: 0.5239 data_time: 0.0478 memory: 18108 grad_norm: 4.0746 loss: 3.4872 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0443 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4430 2023/02/02 06:45:42 - mmengine - INFO - Epoch(train) [169][ 160/1879] lr: 3.3955e-02 eta: 23:26:22 time: 0.4868 data_time: 0.0317 memory: 18108 grad_norm: 4.1451 loss: 3.5337 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0937 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.4400 2023/02/02 06:45:52 - mmengine - INFO - Epoch(train) [169][ 180/1879] lr: 3.3948e-02 eta: 23:26:11 time: 0.4814 data_time: 0.0380 memory: 18108 grad_norm: 4.1333 loss: 3.4735 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0127 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.4608 2023/02/02 06:46:02 - mmengine - INFO - Epoch(train) [169][ 200/1879] lr: 3.3941e-02 eta: 23:26:01 time: 0.4927 data_time: 0.0340 memory: 18108 grad_norm: 4.1504 loss: 3.6011 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1660 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.4351 2023/02/02 06:46:12 - mmengine - INFO - Epoch(train) [169][ 220/1879] lr: 3.3934e-02 eta: 23:25:51 time: 0.5187 data_time: 0.0370 memory: 18108 grad_norm: 4.1374 loss: 3.5775 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0500 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.5275 2023/02/02 06:46:22 - mmengine - INFO - Epoch(train) [169][ 240/1879] lr: 3.3927e-02 eta: 23:25:40 time: 0.4862 data_time: 0.0313 memory: 18108 grad_norm: 4.1230 loss: 3.7378 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2455 top1_acc_1: 0.5294 top5_acc_1: 0.8706 loss_cls_1: 1.4923 2023/02/02 06:46:32 - mmengine - INFO - Epoch(train) [169][ 260/1879] lr: 3.3919e-02 eta: 23:25:30 time: 0.4960 data_time: 0.0378 memory: 18108 grad_norm: 4.0436 loss: 3.5033 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.0646 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.4387 2023/02/02 06:46:43 - mmengine - INFO - Epoch(train) [169][ 280/1879] lr: 3.3912e-02 eta: 23:25:20 time: 0.5279 data_time: 0.0435 memory: 18108 grad_norm: 4.0325 loss: 3.4944 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0338 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.4605 2023/02/02 06:46:52 - mmengine - INFO - Epoch(train) [169][ 300/1879] lr: 3.3905e-02 eta: 23:25:09 time: 0.4913 data_time: 0.0361 memory: 18108 grad_norm: 4.1332 loss: 3.6245 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2464 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.3781 2023/02/02 06:47:02 - mmengine - INFO - Epoch(train) [169][ 320/1879] lr: 3.3898e-02 eta: 23:24:59 time: 0.4884 data_time: 0.0330 memory: 18108 grad_norm: 4.1525 loss: 3.6603 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.1959 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.4643 2023/02/02 06:47:06 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 06:47:13 - mmengine - INFO - Epoch(train) [169][ 340/1879] lr: 3.3891e-02 eta: 23:24:49 time: 0.5175 data_time: 0.0452 memory: 18108 grad_norm: 4.1784 loss: 3.6745 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2363 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.4381 2023/02/02 06:47:23 - mmengine - INFO - Epoch(train) [169][ 360/1879] lr: 3.3884e-02 eta: 23:24:39 time: 0.5085 data_time: 0.0325 memory: 18108 grad_norm: 4.1650 loss: 3.6838 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1992 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.4846 2023/02/02 06:47:33 - mmengine - INFO - Epoch(train) [169][ 380/1879] lr: 3.3877e-02 eta: 23:24:28 time: 0.4933 data_time: 0.0374 memory: 18108 grad_norm: 4.0697 loss: 3.3614 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0101 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.3513 2023/02/02 06:47:42 - mmengine - INFO - Epoch(train) [169][ 400/1879] lr: 3.3870e-02 eta: 23:24:18 time: 0.4853 data_time: 0.0336 memory: 18108 grad_norm: 4.2040 loss: 3.6219 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0816 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.5403 2023/02/02 06:47:53 - mmengine - INFO - Epoch(train) [169][ 420/1879] lr: 3.3862e-02 eta: 23:24:08 time: 0.5142 data_time: 0.0469 memory: 18108 grad_norm: 4.2480 loss: 3.6035 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0894 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.5140 2023/02/02 06:48:03 - mmengine - INFO - Epoch(train) [169][ 440/1879] lr: 3.3855e-02 eta: 23:23:57 time: 0.5090 data_time: 0.0316 memory: 18108 grad_norm: 4.2150 loss: 3.7205 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2232 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.4973 2023/02/02 06:48:13 - mmengine - INFO - Epoch(train) [169][ 460/1879] lr: 3.3848e-02 eta: 23:23:47 time: 0.4930 data_time: 0.0387 memory: 18108 grad_norm: 4.2015 loss: 3.5944 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0184 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.5760 2023/02/02 06:48:23 - mmengine - INFO - Epoch(train) [169][ 480/1879] lr: 3.3841e-02 eta: 23:23:37 time: 0.5181 data_time: 0.0405 memory: 18108 grad_norm: 4.1732 loss: 3.4399 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.0100 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.4299 2023/02/02 06:48:33 - mmengine - INFO - Epoch(train) [169][ 500/1879] lr: 3.3834e-02 eta: 23:23:26 time: 0.5042 data_time: 0.0367 memory: 18108 grad_norm: 4.1031 loss: 3.4687 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.9182 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.5505 2023/02/02 06:48:43 - mmengine - INFO - Epoch(train) [169][ 520/1879] lr: 3.3827e-02 eta: 23:23:16 time: 0.4963 data_time: 0.0327 memory: 18108 grad_norm: 4.1555 loss: 3.4447 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9957 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.4489 2023/02/02 06:48:54 - mmengine - INFO - Epoch(train) [169][ 540/1879] lr: 3.3820e-02 eta: 23:23:06 time: 0.5178 data_time: 0.0353 memory: 18108 grad_norm: 4.1339 loss: 3.6125 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1266 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.4859 2023/02/02 06:49:04 - mmengine - INFO - Epoch(train) [169][ 560/1879] lr: 3.3812e-02 eta: 23:22:56 time: 0.4983 data_time: 0.0346 memory: 18108 grad_norm: 4.1366 loss: 3.6125 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1405 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.4720 2023/02/02 06:49:14 - mmengine - INFO - Epoch(train) [169][ 580/1879] lr: 3.3805e-02 eta: 23:22:45 time: 0.5008 data_time: 0.0361 memory: 18108 grad_norm: 4.1312 loss: 3.5265 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0215 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.5050 2023/02/02 06:49:24 - mmengine - INFO - Epoch(train) [169][ 600/1879] lr: 3.3798e-02 eta: 23:22:35 time: 0.5058 data_time: 0.0379 memory: 18108 grad_norm: 4.0913 loss: 3.3360 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9183 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.4177 2023/02/02 06:49:34 - mmengine - INFO - Epoch(train) [169][ 620/1879] lr: 3.3791e-02 eta: 23:22:25 time: 0.5162 data_time: 0.0304 memory: 18108 grad_norm: 4.1276 loss: 3.6254 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.1379 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.4875 2023/02/02 06:49:44 - mmengine - INFO - Epoch(train) [169][ 640/1879] lr: 3.3784e-02 eta: 23:22:15 time: 0.5057 data_time: 0.0379 memory: 18108 grad_norm: 4.0379 loss: 3.5873 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1399 top1_acc_1: 0.7529 top5_acc_1: 0.8588 loss_cls_1: 1.4474 2023/02/02 06:49:54 - mmengine - INFO - Epoch(train) [169][ 660/1879] lr: 3.3777e-02 eta: 23:22:04 time: 0.4961 data_time: 0.0295 memory: 18108 grad_norm: 4.1388 loss: 3.4460 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.9735 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.4725 2023/02/02 06:50:05 - mmengine - INFO - Epoch(train) [169][ 680/1879] lr: 3.3770e-02 eta: 23:21:54 time: 0.5293 data_time: 0.0446 memory: 18108 grad_norm: 4.0708 loss: 3.6012 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0386 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.5626 2023/02/02 06:50:15 - mmengine - INFO - Epoch(train) [169][ 700/1879] lr: 3.3763e-02 eta: 23:21:44 time: 0.5124 data_time: 0.0295 memory: 18108 grad_norm: 4.1730 loss: 3.5087 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.0648 top1_acc_1: 0.6941 top5_acc_1: 0.9529 loss_cls_1: 1.4439 2023/02/02 06:50:25 - mmengine - INFO - Epoch(train) [169][ 720/1879] lr: 3.3756e-02 eta: 23:21:34 time: 0.5045 data_time: 0.0379 memory: 18108 grad_norm: 4.0953 loss: 3.4863 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.9686 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.5178 2023/02/02 06:50:36 - mmengine - INFO - Epoch(train) [169][ 740/1879] lr: 3.3748e-02 eta: 23:21:24 time: 0.5247 data_time: 0.0388 memory: 18108 grad_norm: 4.0797 loss: 3.5922 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0384 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.5537 2023/02/02 06:50:46 - mmengine - INFO - Epoch(train) [169][ 760/1879] lr: 3.3741e-02 eta: 23:21:13 time: 0.5070 data_time: 0.0385 memory: 18108 grad_norm: 4.1412 loss: 3.3384 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 1.9669 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.3715 2023/02/02 06:50:56 - mmengine - INFO - Epoch(train) [169][ 780/1879] lr: 3.3734e-02 eta: 23:21:03 time: 0.5165 data_time: 0.0304 memory: 18108 grad_norm: 4.1616 loss: 3.6193 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2271 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.3922 2023/02/02 06:51:07 - mmengine - INFO - Epoch(train) [169][ 800/1879] lr: 3.3727e-02 eta: 23:20:53 time: 0.5287 data_time: 0.0393 memory: 18108 grad_norm: 4.1666 loss: 3.6873 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1710 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.5163 2023/02/02 06:51:17 - mmengine - INFO - Epoch(train) [169][ 820/1879] lr: 3.3720e-02 eta: 23:20:43 time: 0.5178 data_time: 0.0312 memory: 18108 grad_norm: 4.1599 loss: 3.6651 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1180 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.5470 2023/02/02 06:51:27 - mmengine - INFO - Epoch(train) [169][ 840/1879] lr: 3.3713e-02 eta: 23:20:33 time: 0.5078 data_time: 0.0377 memory: 18108 grad_norm: 4.1546 loss: 3.8970 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.3314 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.5656 2023/02/02 06:51:38 - mmengine - INFO - Epoch(train) [169][ 860/1879] lr: 3.3706e-02 eta: 23:20:23 time: 0.5296 data_time: 0.0499 memory: 18108 grad_norm: 4.1435 loss: 3.4323 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.9165 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.5158 2023/02/02 06:51:48 - mmengine - INFO - Epoch(train) [169][ 880/1879] lr: 3.3699e-02 eta: 23:20:13 time: 0.5256 data_time: 0.0386 memory: 18108 grad_norm: 4.1530 loss: 3.4475 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0244 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.4231 2023/02/02 06:51:59 - mmengine - INFO - Epoch(train) [169][ 900/1879] lr: 3.3691e-02 eta: 23:20:02 time: 0.5090 data_time: 0.0305 memory: 18108 grad_norm: 4.1303 loss: 3.5871 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0718 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.5153 2023/02/02 06:52:09 - mmengine - INFO - Epoch(train) [169][ 920/1879] lr: 3.3684e-02 eta: 23:19:52 time: 0.5318 data_time: 0.0388 memory: 18108 grad_norm: 4.2091 loss: 3.7601 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2137 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5464 2023/02/02 06:52:20 - mmengine - INFO - Epoch(train) [169][ 940/1879] lr: 3.3677e-02 eta: 23:19:42 time: 0.5200 data_time: 0.0313 memory: 18108 grad_norm: 4.1260 loss: 3.4802 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9806 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.4996 2023/02/02 06:52:30 - mmengine - INFO - Epoch(train) [169][ 960/1879] lr: 3.3670e-02 eta: 23:19:32 time: 0.5303 data_time: 0.0400 memory: 18108 grad_norm: 4.1491 loss: 3.7357 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 2.2345 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.5012 2023/02/02 06:52:41 - mmengine - INFO - Epoch(train) [169][ 980/1879] lr: 3.3663e-02 eta: 23:19:22 time: 0.5100 data_time: 0.0312 memory: 18108 grad_norm: 4.2209 loss: 3.5767 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1622 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.4144 2023/02/02 06:52:51 - mmengine - INFO - Epoch(train) [169][1000/1879] lr: 3.3656e-02 eta: 23:19:12 time: 0.5286 data_time: 0.0432 memory: 18108 grad_norm: 4.2046 loss: 3.6038 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0779 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.5259 2023/02/02 06:53:02 - mmengine - INFO - Epoch(train) [169][1020/1879] lr: 3.3649e-02 eta: 23:19:02 time: 0.5221 data_time: 0.0298 memory: 18108 grad_norm: 4.0368 loss: 3.7395 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2079 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.5316 2023/02/02 06:53:12 - mmengine - INFO - Epoch(train) [169][1040/1879] lr: 3.3642e-02 eta: 23:18:52 time: 0.5128 data_time: 0.0375 memory: 18108 grad_norm: 4.1933 loss: 3.6633 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1655 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.4978 2023/02/02 06:53:22 - mmengine - INFO - Epoch(train) [169][1060/1879] lr: 3.3634e-02 eta: 23:18:42 time: 0.5200 data_time: 0.0291 memory: 18108 grad_norm: 4.1308 loss: 3.5549 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1995 top1_acc_1: 0.7529 top5_acc_1: 0.8471 loss_cls_1: 1.3554 2023/02/02 06:53:33 - mmengine - INFO - Epoch(train) [169][1080/1879] lr: 3.3627e-02 eta: 23:18:32 time: 0.5153 data_time: 0.0396 memory: 18108 grad_norm: 4.0117 loss: 3.4233 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 1.9931 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.4301 2023/02/02 06:53:43 - mmengine - INFO - Epoch(train) [169][1100/1879] lr: 3.3620e-02 eta: 23:18:21 time: 0.5249 data_time: 0.0282 memory: 18108 grad_norm: 4.2121 loss: 3.6107 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1601 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.4507 2023/02/02 06:53:54 - mmengine - INFO - Epoch(train) [169][1120/1879] lr: 3.3613e-02 eta: 23:18:11 time: 0.5172 data_time: 0.0450 memory: 18108 grad_norm: 4.1444 loss: 3.4991 top1_acc_0: 0.2500 top5_acc_0: 0.8750 loss_cls_0: 2.0074 top1_acc_1: 0.7294 top5_acc_1: 0.9529 loss_cls_1: 1.4916 2023/02/02 06:54:04 - mmengine - INFO - Epoch(train) [169][1140/1879] lr: 3.3606e-02 eta: 23:18:01 time: 0.5217 data_time: 0.0321 memory: 18108 grad_norm: 4.1643 loss: 3.6838 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0655 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.6183 2023/02/02 06:54:15 - mmengine - INFO - Epoch(train) [169][1160/1879] lr: 3.3599e-02 eta: 23:17:51 time: 0.5298 data_time: 0.0362 memory: 18108 grad_norm: 4.1210 loss: 3.7133 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1553 top1_acc_1: 0.4941 top5_acc_1: 0.8353 loss_cls_1: 1.5580 2023/02/02 06:54:25 - mmengine - INFO - Epoch(train) [169][1180/1879] lr: 3.3592e-02 eta: 23:17:41 time: 0.5257 data_time: 0.0300 memory: 18108 grad_norm: 4.0947 loss: 3.3211 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.8843 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.4368 2023/02/02 06:54:35 - mmengine - INFO - Epoch(train) [169][1200/1879] lr: 3.3585e-02 eta: 23:17:31 time: 0.5109 data_time: 0.0366 memory: 18108 grad_norm: 4.1510 loss: 3.5993 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0581 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.5412 2023/02/02 06:54:46 - mmengine - INFO - Epoch(train) [169][1220/1879] lr: 3.3578e-02 eta: 23:17:21 time: 0.5226 data_time: 0.0301 memory: 18108 grad_norm: 4.1838 loss: 3.4156 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9394 top1_acc_1: 0.5765 top5_acc_1: 0.8824 loss_cls_1: 1.4762 2023/02/02 06:54:56 - mmengine - INFO - Epoch(train) [169][1240/1879] lr: 3.3570e-02 eta: 23:17:11 time: 0.5183 data_time: 0.0452 memory: 18108 grad_norm: 4.0914 loss: 3.4921 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 1.9871 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5050 2023/02/02 06:55:07 - mmengine - INFO - Epoch(train) [169][1260/1879] lr: 3.3563e-02 eta: 23:17:01 time: 0.5185 data_time: 0.0294 memory: 18108 grad_norm: 4.1776 loss: 3.4991 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0509 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.4482 2023/02/02 06:55:17 - mmengine - INFO - Epoch(train) [169][1280/1879] lr: 3.3556e-02 eta: 23:16:50 time: 0.5100 data_time: 0.0361 memory: 18108 grad_norm: 4.1493 loss: 3.6909 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1554 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.5354 2023/02/02 06:55:27 - mmengine - INFO - Epoch(train) [169][1300/1879] lr: 3.3549e-02 eta: 23:16:40 time: 0.5168 data_time: 0.0279 memory: 18108 grad_norm: 4.2056 loss: 3.6614 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1819 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.4795 2023/02/02 06:55:38 - mmengine - INFO - Epoch(train) [169][1320/1879] lr: 3.3542e-02 eta: 23:16:30 time: 0.5184 data_time: 0.0382 memory: 18108 grad_norm: 4.0512 loss: 3.5626 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0708 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.4918 2023/02/02 06:55:42 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 06:55:48 - mmengine - INFO - Epoch(train) [169][1340/1879] lr: 3.3535e-02 eta: 23:16:20 time: 0.5063 data_time: 0.0303 memory: 18108 grad_norm: 4.1829 loss: 3.4894 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0043 top1_acc_1: 0.5294 top5_acc_1: 0.7882 loss_cls_1: 1.4851 2023/02/02 06:55:58 - mmengine - INFO - Epoch(train) [169][1360/1879] lr: 3.3528e-02 eta: 23:16:10 time: 0.5348 data_time: 0.0373 memory: 18108 grad_norm: 4.0568 loss: 3.2768 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7825 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.4943 2023/02/02 06:56:09 - mmengine - INFO - Epoch(train) [169][1380/1879] lr: 3.3521e-02 eta: 23:16:00 time: 0.5308 data_time: 0.0304 memory: 18108 grad_norm: 4.1251 loss: 3.3744 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8184 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.5560 2023/02/02 06:56:20 - mmengine - INFO - Epoch(train) [169][1400/1879] lr: 3.3514e-02 eta: 23:15:50 time: 0.5210 data_time: 0.0371 memory: 18108 grad_norm: 4.1928 loss: 3.4314 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8873 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.5442 2023/02/02 06:56:30 - mmengine - INFO - Epoch(train) [169][1420/1879] lr: 3.3506e-02 eta: 23:15:40 time: 0.5212 data_time: 0.0310 memory: 18108 grad_norm: 4.0605 loss: 3.4627 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0114 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.4513 2023/02/02 06:56:41 - mmengine - INFO - Epoch(train) [169][1440/1879] lr: 3.3499e-02 eta: 23:15:30 time: 0.5521 data_time: 0.0427 memory: 18108 grad_norm: 4.0690 loss: 3.3790 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.8621 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.5169 2023/02/02 06:56:51 - mmengine - INFO - Epoch(train) [169][1460/1879] lr: 3.3492e-02 eta: 23:15:20 time: 0.5211 data_time: 0.0290 memory: 18108 grad_norm: 4.1313 loss: 3.6495 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1513 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.4982 2023/02/02 06:57:02 - mmengine - INFO - Epoch(train) [169][1480/1879] lr: 3.3485e-02 eta: 23:15:10 time: 0.5230 data_time: 0.0383 memory: 18108 grad_norm: 4.1251 loss: 3.3924 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9893 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.4031 2023/02/02 06:57:13 - mmengine - INFO - Epoch(train) [169][1500/1879] lr: 3.3478e-02 eta: 23:15:00 time: 0.5577 data_time: 0.0291 memory: 18108 grad_norm: 4.2345 loss: 3.6374 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.0935 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.5439 2023/02/02 06:57:24 - mmengine - INFO - Epoch(train) [169][1520/1879] lr: 3.3471e-02 eta: 23:14:50 time: 0.5368 data_time: 0.0350 memory: 18108 grad_norm: 4.1466 loss: 3.5645 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0802 top1_acc_1: 0.5412 top5_acc_1: 0.7529 loss_cls_1: 1.4843 2023/02/02 06:57:34 - mmengine - INFO - Epoch(train) [169][1540/1879] lr: 3.3464e-02 eta: 23:14:40 time: 0.5170 data_time: 0.0335 memory: 18108 grad_norm: 4.2248 loss: 3.5781 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0668 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.5113 2023/02/02 06:57:45 - mmengine - INFO - Epoch(train) [169][1560/1879] lr: 3.3457e-02 eta: 23:14:30 time: 0.5369 data_time: 0.0353 memory: 18108 grad_norm: 4.0615 loss: 3.5622 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.1165 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.4457 2023/02/02 06:57:56 - mmengine - INFO - Epoch(train) [169][1580/1879] lr: 3.3450e-02 eta: 23:14:20 time: 0.5342 data_time: 0.0402 memory: 18108 grad_norm: 4.1875 loss: 3.3944 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.9331 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.4613 2023/02/02 06:58:06 - mmengine - INFO - Epoch(train) [169][1600/1879] lr: 3.3442e-02 eta: 23:14:10 time: 0.5273 data_time: 0.0335 memory: 18108 grad_norm: 4.1552 loss: 3.4741 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9714 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.5028 2023/02/02 06:58:17 - mmengine - INFO - Epoch(train) [169][1620/1879] lr: 3.3435e-02 eta: 23:14:00 time: 0.5282 data_time: 0.0345 memory: 18108 grad_norm: 4.2242 loss: 3.6767 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.1739 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.5029 2023/02/02 06:58:28 - mmengine - INFO - Epoch(train) [169][1640/1879] lr: 3.3428e-02 eta: 23:13:50 time: 0.5644 data_time: 0.0324 memory: 18108 grad_norm: 4.0239 loss: 3.6709 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2065 top1_acc_1: 0.7176 top5_acc_1: 0.8000 loss_cls_1: 1.4644 2023/02/02 06:58:39 - mmengine - INFO - Epoch(train) [169][1660/1879] lr: 3.3421e-02 eta: 23:13:40 time: 0.5278 data_time: 0.0335 memory: 18108 grad_norm: 4.1298 loss: 3.6002 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1900 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.4103 2023/02/02 06:58:49 - mmengine - INFO - Epoch(train) [169][1680/1879] lr: 3.3414e-02 eta: 23:13:30 time: 0.5237 data_time: 0.0324 memory: 18108 grad_norm: 4.2372 loss: 3.7343 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2220 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.5123 2023/02/02 06:59:01 - mmengine - INFO - Epoch(train) [169][1700/1879] lr: 3.3407e-02 eta: 23:13:20 time: 0.5764 data_time: 0.0386 memory: 18108 grad_norm: 4.1566 loss: 3.6984 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.1526 top1_acc_1: 0.6588 top5_acc_1: 0.9412 loss_cls_1: 1.5458 2023/02/02 06:59:11 - mmengine - INFO - Epoch(train) [169][1720/1879] lr: 3.3400e-02 eta: 23:13:10 time: 0.5174 data_time: 0.0319 memory: 18108 grad_norm: 4.1127 loss: 3.5090 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0441 top1_acc_1: 0.6941 top5_acc_1: 0.8118 loss_cls_1: 1.4649 2023/02/02 06:59:22 - mmengine - INFO - Epoch(train) [169][1740/1879] lr: 3.3393e-02 eta: 23:13:00 time: 0.5259 data_time: 0.0356 memory: 18108 grad_norm: 4.1256 loss: 3.4542 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.0038 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4504 2023/02/02 06:59:32 - mmengine - INFO - Epoch(train) [169][1760/1879] lr: 3.3386e-02 eta: 23:12:50 time: 0.5248 data_time: 0.0341 memory: 18108 grad_norm: 4.1854 loss: 3.1764 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.7718 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.4046 2023/02/02 06:59:43 - mmengine - INFO - Epoch(train) [169][1780/1879] lr: 3.3379e-02 eta: 23:12:40 time: 0.5334 data_time: 0.0422 memory: 18108 grad_norm: 4.1550 loss: 3.5608 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0497 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.5110 2023/02/02 06:59:53 - mmengine - INFO - Epoch(train) [169][1800/1879] lr: 3.3371e-02 eta: 23:12:30 time: 0.5065 data_time: 0.0331 memory: 18108 grad_norm: 4.0825 loss: 3.6560 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1488 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.5072 2023/02/02 07:00:03 - mmengine - INFO - Epoch(train) [169][1820/1879] lr: 3.3364e-02 eta: 23:12:20 time: 0.5148 data_time: 0.0351 memory: 18108 grad_norm: 4.2529 loss: 3.6023 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1695 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.4328 2023/02/02 07:00:14 - mmengine - INFO - Epoch(train) [169][1840/1879] lr: 3.3357e-02 eta: 23:12:10 time: 0.5368 data_time: 0.0429 memory: 18108 grad_norm: 4.1454 loss: 3.5477 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0157 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.5320 2023/02/02 07:00:24 - mmengine - INFO - Epoch(train) [169][1860/1879] lr: 3.3350e-02 eta: 23:12:00 time: 0.5110 data_time: 0.0324 memory: 18108 grad_norm: 4.1186 loss: 3.7165 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1750 top1_acc_1: 0.5059 top5_acc_1: 0.7529 loss_cls_1: 1.5415 2023/02/02 07:00:34 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 07:00:34 - mmengine - INFO - Epoch(train) [169][1879/1879] lr: 3.3343e-02 eta: 23:11:50 time: 0.4934 data_time: 0.0312 memory: 18108 grad_norm: 4.2600 loss: 3.6402 top1_acc_0: 0.4286 top5_acc_0: 0.4286 loss_cls_0: 2.0926 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.5476 2023/02/02 07:00:49 - mmengine - INFO - Epoch(train) [170][ 20/1879] lr: 3.3336e-02 eta: 23:11:41 time: 0.7083 data_time: 0.2501 memory: 18108 grad_norm: 4.2180 loss: 3.5806 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.1061 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.4745 2023/02/02 07:00:58 - mmengine - INFO - Epoch(train) [170][ 40/1879] lr: 3.3329e-02 eta: 23:11:31 time: 0.4737 data_time: 0.0319 memory: 18108 grad_norm: 4.0817 loss: 3.4942 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0695 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.4247 2023/02/02 07:01:08 - mmengine - INFO - Epoch(train) [170][ 60/1879] lr: 3.3322e-02 eta: 23:11:20 time: 0.4811 data_time: 0.0370 memory: 18108 grad_norm: 4.0919 loss: 3.7786 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.3179 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.4607 2023/02/02 07:01:18 - mmengine - INFO - Epoch(train) [170][ 80/1879] lr: 3.3315e-02 eta: 23:11:10 time: 0.5286 data_time: 0.0413 memory: 18108 grad_norm: 4.1122 loss: 3.6283 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.1297 top1_acc_1: 0.7176 top5_acc_1: 0.8235 loss_cls_1: 1.4986 2023/02/02 07:01:28 - mmengine - INFO - Epoch(train) [170][ 100/1879] lr: 3.3308e-02 eta: 23:11:00 time: 0.4873 data_time: 0.0375 memory: 18108 grad_norm: 4.0573 loss: 3.4525 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9917 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.4608 2023/02/02 07:01:38 - mmengine - INFO - Epoch(train) [170][ 120/1879] lr: 3.3301e-02 eta: 23:10:49 time: 0.4720 data_time: 0.0337 memory: 18108 grad_norm: 4.1580 loss: 3.5808 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.1613 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.4194 2023/02/02 07:01:47 - mmengine - INFO - Epoch(train) [170][ 140/1879] lr: 3.3294e-02 eta: 23:10:39 time: 0.4959 data_time: 0.0426 memory: 18108 grad_norm: 4.0998 loss: 3.3602 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 1.9727 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.3875 2023/02/02 07:01:57 - mmengine - INFO - Epoch(train) [170][ 160/1879] lr: 3.3287e-02 eta: 23:10:28 time: 0.4926 data_time: 0.0333 memory: 18108 grad_norm: 4.1460 loss: 3.4542 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0761 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.3781 2023/02/02 07:02:07 - mmengine - INFO - Epoch(train) [170][ 180/1879] lr: 3.3279e-02 eta: 23:10:18 time: 0.4922 data_time: 0.0386 memory: 18108 grad_norm: 4.1568 loss: 3.5160 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.0890 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.4270 2023/02/02 07:02:17 - mmengine - INFO - Epoch(train) [170][ 200/1879] lr: 3.3272e-02 eta: 23:10:07 time: 0.4828 data_time: 0.0335 memory: 18108 grad_norm: 4.1086 loss: 3.4033 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.9734 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.4299 2023/02/02 07:02:27 - mmengine - INFO - Epoch(train) [170][ 220/1879] lr: 3.3265e-02 eta: 23:09:57 time: 0.4990 data_time: 0.0361 memory: 18108 grad_norm: 4.2332 loss: 3.3799 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9771 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.4028 2023/02/02 07:02:36 - mmengine - INFO - Epoch(train) [170][ 240/1879] lr: 3.3258e-02 eta: 23:09:47 time: 0.4776 data_time: 0.0324 memory: 18108 grad_norm: 4.1248 loss: 3.3633 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9453 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.4180 2023/02/02 07:02:46 - mmengine - INFO - Epoch(train) [170][ 260/1879] lr: 3.3251e-02 eta: 23:09:36 time: 0.5015 data_time: 0.0373 memory: 18108 grad_norm: 4.2046 loss: 3.3779 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.9298 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.4481 2023/02/02 07:02:56 - mmengine - INFO - Epoch(train) [170][ 280/1879] lr: 3.3244e-02 eta: 23:09:26 time: 0.4799 data_time: 0.0312 memory: 18108 grad_norm: 4.2199 loss: 3.4764 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9432 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.5332 2023/02/02 07:03:06 - mmengine - INFO - Epoch(train) [170][ 300/1879] lr: 3.3237e-02 eta: 23:09:16 time: 0.5099 data_time: 0.0363 memory: 18108 grad_norm: 4.2925 loss: 3.7900 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.3180 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.4720 2023/02/02 07:03:16 - mmengine - INFO - Epoch(train) [170][ 320/1879] lr: 3.3230e-02 eta: 23:09:05 time: 0.4986 data_time: 0.0308 memory: 18108 grad_norm: 4.1392 loss: 3.5766 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1438 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.4329 2023/02/02 07:03:27 - mmengine - INFO - Epoch(train) [170][ 340/1879] lr: 3.3223e-02 eta: 23:08:55 time: 0.5083 data_time: 0.0383 memory: 18108 grad_norm: 4.1761 loss: 3.5985 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.1028 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.4957 2023/02/02 07:03:37 - mmengine - INFO - Epoch(train) [170][ 360/1879] lr: 3.3216e-02 eta: 23:08:45 time: 0.5145 data_time: 0.0307 memory: 18108 grad_norm: 4.2374 loss: 3.6313 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.1123 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.5190 2023/02/02 07:03:47 - mmengine - INFO - Epoch(train) [170][ 380/1879] lr: 3.3209e-02 eta: 23:08:34 time: 0.5029 data_time: 0.0361 memory: 18108 grad_norm: 4.2093 loss: 3.5428 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9761 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.5667 2023/02/02 07:03:57 - mmengine - INFO - Epoch(train) [170][ 400/1879] lr: 3.3201e-02 eta: 23:08:24 time: 0.5062 data_time: 0.0388 memory: 18108 grad_norm: 4.1574 loss: 3.4245 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0420 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.3825 2023/02/02 07:04:07 - mmengine - INFO - Epoch(train) [170][ 420/1879] lr: 3.3194e-02 eta: 23:08:14 time: 0.5035 data_time: 0.0363 memory: 18108 grad_norm: 4.1152 loss: 3.6066 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0621 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.5445 2023/02/02 07:04:18 - mmengine - INFO - Epoch(train) [170][ 440/1879] lr: 3.3187e-02 eta: 23:08:04 time: 0.5193 data_time: 0.0312 memory: 18108 grad_norm: 4.1159 loss: 3.5602 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.0867 top1_acc_1: 0.7412 top5_acc_1: 0.8353 loss_cls_1: 1.4735 2023/02/02 07:04:22 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 07:04:28 - mmengine - INFO - Epoch(train) [170][ 460/1879] lr: 3.3180e-02 eta: 23:07:54 time: 0.5067 data_time: 0.0434 memory: 18108 grad_norm: 4.1974 loss: 3.4729 top1_acc_0: 0.1875 top5_acc_0: 0.6250 loss_cls_0: 2.0052 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4677 2023/02/02 07:04:38 - mmengine - INFO - Epoch(train) [170][ 480/1879] lr: 3.3173e-02 eta: 23:07:43 time: 0.5028 data_time: 0.0298 memory: 18108 grad_norm: 4.2279 loss: 3.5800 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.0830 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.4970 2023/02/02 07:04:48 - mmengine - INFO - Epoch(train) [170][ 500/1879] lr: 3.3166e-02 eta: 23:07:33 time: 0.5174 data_time: 0.0355 memory: 18108 grad_norm: 4.2536 loss: 3.6258 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1411 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.4848 2023/02/02 07:04:58 - mmengine - INFO - Epoch(train) [170][ 520/1879] lr: 3.3159e-02 eta: 23:07:23 time: 0.5133 data_time: 0.0319 memory: 18108 grad_norm: 4.2139 loss: 3.5827 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.0888 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.4939 2023/02/02 07:05:08 - mmengine - INFO - Epoch(train) [170][ 540/1879] lr: 3.3152e-02 eta: 23:07:13 time: 0.4980 data_time: 0.0354 memory: 18108 grad_norm: 4.2067 loss: 3.6119 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.1287 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.4832 2023/02/02 07:05:18 - mmengine - INFO - Epoch(train) [170][ 560/1879] lr: 3.3145e-02 eta: 23:07:02 time: 0.4942 data_time: 0.0326 memory: 18108 grad_norm: 4.2218 loss: 3.6476 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1726 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.4750 2023/02/02 07:05:29 - mmengine - INFO - Epoch(train) [170][ 580/1879] lr: 3.3138e-02 eta: 23:06:52 time: 0.5303 data_time: 0.0423 memory: 18108 grad_norm: 4.2166 loss: 3.5733 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1631 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.4102 2023/02/02 07:05:39 - mmengine - INFO - Epoch(train) [170][ 600/1879] lr: 3.3131e-02 eta: 23:06:42 time: 0.4956 data_time: 0.0328 memory: 18108 grad_norm: 4.0608 loss: 3.5777 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0898 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.4879 2023/02/02 07:05:49 - mmengine - INFO - Epoch(train) [170][ 620/1879] lr: 3.3123e-02 eta: 23:06:31 time: 0.5049 data_time: 0.0377 memory: 18108 grad_norm: 4.3295 loss: 3.6377 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1805 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.4572 2023/02/02 07:05:59 - mmengine - INFO - Epoch(train) [170][ 640/1879] lr: 3.3116e-02 eta: 23:06:21 time: 0.5152 data_time: 0.0308 memory: 18108 grad_norm: 4.2003 loss: 3.6510 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.0935 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.5575 2023/02/02 07:06:10 - mmengine - INFO - Epoch(train) [170][ 660/1879] lr: 3.3109e-02 eta: 23:06:11 time: 0.5202 data_time: 0.0369 memory: 18108 grad_norm: 4.1756 loss: 3.5756 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.0814 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.4942 2023/02/02 07:06:20 - mmengine - INFO - Epoch(train) [170][ 680/1879] lr: 3.3102e-02 eta: 23:06:01 time: 0.5157 data_time: 0.0310 memory: 18108 grad_norm: 4.2021 loss: 3.4221 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.0157 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.4064 2023/02/02 07:06:30 - mmengine - INFO - Epoch(train) [170][ 700/1879] lr: 3.3095e-02 eta: 23:05:51 time: 0.5127 data_time: 0.0373 memory: 18108 grad_norm: 4.1463 loss: 3.5146 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0030 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.5117 2023/02/02 07:06:41 - mmengine - INFO - Epoch(train) [170][ 720/1879] lr: 3.3088e-02 eta: 23:05:41 time: 0.5295 data_time: 0.0305 memory: 18108 grad_norm: 4.1488 loss: 3.6624 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1736 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.4888 2023/02/02 07:06:51 - mmengine - INFO - Epoch(train) [170][ 740/1879] lr: 3.3081e-02 eta: 23:05:31 time: 0.5112 data_time: 0.0361 memory: 18108 grad_norm: 4.1459 loss: 3.5777 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1170 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.4608 2023/02/02 07:07:01 - mmengine - INFO - Epoch(train) [170][ 760/1879] lr: 3.3074e-02 eta: 23:05:20 time: 0.5069 data_time: 0.0306 memory: 18108 grad_norm: 4.1589 loss: 3.6443 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1560 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.4882 2023/02/02 07:07:12 - mmengine - INFO - Epoch(train) [170][ 780/1879] lr: 3.3067e-02 eta: 23:05:10 time: 0.5308 data_time: 0.0421 memory: 18108 grad_norm: 4.2915 loss: 3.7295 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1908 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.5387 2023/02/02 07:07:22 - mmengine - INFO - Epoch(train) [170][ 800/1879] lr: 3.3060e-02 eta: 23:05:00 time: 0.5114 data_time: 0.0313 memory: 18108 grad_norm: 4.1834 loss: 3.6060 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.1267 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.4793 2023/02/02 07:07:32 - mmengine - INFO - Epoch(train) [170][ 820/1879] lr: 3.3053e-02 eta: 23:04:50 time: 0.5123 data_time: 0.0360 memory: 18108 grad_norm: 4.1211 loss: 3.6939 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.1893 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.5046 2023/02/02 07:07:43 - mmengine - INFO - Epoch(train) [170][ 840/1879] lr: 3.3045e-02 eta: 23:04:40 time: 0.5161 data_time: 0.0380 memory: 18108 grad_norm: 4.2463 loss: 3.6012 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.1288 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.4724 2023/02/02 07:07:53 - mmengine - INFO - Epoch(train) [170][ 860/1879] lr: 3.3038e-02 eta: 23:04:30 time: 0.5131 data_time: 0.0347 memory: 18108 grad_norm: 4.2351 loss: 3.6199 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0899 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.5299 2023/02/02 07:08:03 - mmengine - INFO - Epoch(train) [170][ 880/1879] lr: 3.3031e-02 eta: 23:04:19 time: 0.5070 data_time: 0.0313 memory: 18108 grad_norm: 4.1526 loss: 3.5449 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0757 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.4693 2023/02/02 07:08:13 - mmengine - INFO - Epoch(train) [170][ 900/1879] lr: 3.3024e-02 eta: 23:04:09 time: 0.5075 data_time: 0.0356 memory: 18108 grad_norm: 4.1059 loss: 3.6158 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1186 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4972 2023/02/02 07:08:24 - mmengine - INFO - Epoch(train) [170][ 920/1879] lr: 3.3017e-02 eta: 23:03:59 time: 0.5144 data_time: 0.0397 memory: 18108 grad_norm: 4.1844 loss: 3.4651 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0334 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.4317 2023/02/02 07:08:34 - mmengine - INFO - Epoch(train) [170][ 940/1879] lr: 3.3010e-02 eta: 23:03:49 time: 0.5033 data_time: 0.0324 memory: 18108 grad_norm: 4.1995 loss: 3.3320 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8094 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.5225 2023/02/02 07:08:44 - mmengine - INFO - Epoch(train) [170][ 960/1879] lr: 3.3003e-02 eta: 23:03:38 time: 0.5015 data_time: 0.0385 memory: 18108 grad_norm: 4.2270 loss: 3.5972 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.1638 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.4334 2023/02/02 07:08:54 - mmengine - INFO - Epoch(train) [170][ 980/1879] lr: 3.2996e-02 eta: 23:03:28 time: 0.5172 data_time: 0.0402 memory: 18108 grad_norm: 4.1986 loss: 3.6956 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1164 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.5792 2023/02/02 07:09:04 - mmengine - INFO - Epoch(train) [170][1000/1879] lr: 3.2989e-02 eta: 23:03:18 time: 0.5067 data_time: 0.0387 memory: 18108 grad_norm: 4.1635 loss: 3.6610 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2133 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.4477 2023/02/02 07:09:15 - mmengine - INFO - Epoch(train) [170][1020/1879] lr: 3.2982e-02 eta: 23:03:08 time: 0.5055 data_time: 0.0308 memory: 18108 grad_norm: 4.2163 loss: 3.6321 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1625 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.4696 2023/02/02 07:09:25 - mmengine - INFO - Epoch(train) [170][1040/1879] lr: 3.2975e-02 eta: 23:02:57 time: 0.5152 data_time: 0.0436 memory: 18108 grad_norm: 4.2765 loss: 3.7536 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2707 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4829 2023/02/02 07:09:35 - mmengine - INFO - Epoch(train) [170][1060/1879] lr: 3.2968e-02 eta: 23:02:47 time: 0.5053 data_time: 0.0304 memory: 18108 grad_norm: 4.1722 loss: 3.4975 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0336 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.4638 2023/02/02 07:09:45 - mmengine - INFO - Epoch(train) [170][1080/1879] lr: 3.2960e-02 eta: 23:02:37 time: 0.5006 data_time: 0.0383 memory: 18108 grad_norm: 4.1827 loss: 3.3638 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9079 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.4559 2023/02/02 07:09:55 - mmengine - INFO - Epoch(train) [170][1100/1879] lr: 3.2953e-02 eta: 23:02:27 time: 0.5179 data_time: 0.0322 memory: 18108 grad_norm: 4.1266 loss: 3.4553 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.9464 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.5088 2023/02/02 07:10:06 - mmengine - INFO - Epoch(train) [170][1120/1879] lr: 3.2946e-02 eta: 23:02:16 time: 0.5158 data_time: 0.0381 memory: 18108 grad_norm: 4.2022 loss: 3.8143 top1_acc_0: 0.4375 top5_acc_0: 0.4375 loss_cls_0: 2.2602 top1_acc_1: 0.5529 top5_acc_1: 0.8941 loss_cls_1: 1.5541 2023/02/02 07:10:16 - mmengine - INFO - Epoch(train) [170][1140/1879] lr: 3.2939e-02 eta: 23:02:06 time: 0.5121 data_time: 0.0304 memory: 18108 grad_norm: 4.1632 loss: 3.7463 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1951 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.5511 2023/02/02 07:10:26 - mmengine - INFO - Epoch(train) [170][1160/1879] lr: 3.2932e-02 eta: 23:01:56 time: 0.5140 data_time: 0.0383 memory: 18108 grad_norm: 4.1638 loss: 3.3252 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9420 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.3832 2023/02/02 07:10:37 - mmengine - INFO - Epoch(train) [170][1180/1879] lr: 3.2925e-02 eta: 23:01:46 time: 0.5266 data_time: 0.0394 memory: 18108 grad_norm: 4.1339 loss: 3.5511 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1199 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.4312 2023/02/02 07:10:47 - mmengine - INFO - Epoch(train) [170][1200/1879] lr: 3.2918e-02 eta: 23:01:36 time: 0.5073 data_time: 0.0384 memory: 18108 grad_norm: 4.0250 loss: 3.6644 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1010 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.5634 2023/02/02 07:10:57 - mmengine - INFO - Epoch(train) [170][1220/1879] lr: 3.2911e-02 eta: 23:01:25 time: 0.4966 data_time: 0.0321 memory: 18108 grad_norm: 4.1637 loss: 3.7076 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2173 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.4903 2023/02/02 07:11:07 - mmengine - INFO - Epoch(train) [170][1240/1879] lr: 3.2904e-02 eta: 23:01:15 time: 0.5162 data_time: 0.0437 memory: 18108 grad_norm: 4.3037 loss: 3.8032 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3259 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.4773 2023/02/02 07:11:18 - mmengine - INFO - Epoch(train) [170][1260/1879] lr: 3.2897e-02 eta: 23:01:05 time: 0.5213 data_time: 0.0351 memory: 18108 grad_norm: 4.1826 loss: 3.5579 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.0671 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.4908 2023/02/02 07:11:28 - mmengine - INFO - Epoch(train) [170][1280/1879] lr: 3.2890e-02 eta: 23:00:55 time: 0.4986 data_time: 0.0370 memory: 18108 grad_norm: 4.1423 loss: 3.3847 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8961 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.4887 2023/02/02 07:11:38 - mmengine - INFO - Epoch(train) [170][1300/1879] lr: 3.2883e-02 eta: 23:00:45 time: 0.5047 data_time: 0.0305 memory: 18108 grad_norm: 4.2104 loss: 3.7429 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.2017 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5412 2023/02/02 07:11:48 - mmengine - INFO - Epoch(train) [170][1320/1879] lr: 3.2876e-02 eta: 23:00:34 time: 0.5203 data_time: 0.0443 memory: 18108 grad_norm: 4.2212 loss: 3.7611 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2449 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.5161 2023/02/02 07:11:58 - mmengine - INFO - Epoch(train) [170][1340/1879] lr: 3.2868e-02 eta: 23:00:24 time: 0.5036 data_time: 0.0320 memory: 18108 grad_norm: 4.2031 loss: 3.7262 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2100 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.5162 2023/02/02 07:12:08 - mmengine - INFO - Epoch(train) [170][1360/1879] lr: 3.2861e-02 eta: 23:00:14 time: 0.5050 data_time: 0.0373 memory: 18108 grad_norm: 4.2965 loss: 3.5033 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0631 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.4401 2023/02/02 07:12:19 - mmengine - INFO - Epoch(train) [170][1380/1879] lr: 3.2854e-02 eta: 23:00:04 time: 0.5190 data_time: 0.0314 memory: 18108 grad_norm: 4.2061 loss: 3.9243 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.4001 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5242 2023/02/02 07:12:29 - mmengine - INFO - Epoch(train) [170][1400/1879] lr: 3.2847e-02 eta: 22:59:53 time: 0.5102 data_time: 0.0353 memory: 18108 grad_norm: 4.2127 loss: 3.6345 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.2210 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.4135 2023/02/02 07:12:39 - mmengine - INFO - Epoch(train) [170][1420/1879] lr: 3.2840e-02 eta: 22:59:43 time: 0.4979 data_time: 0.0317 memory: 18108 grad_norm: 4.2141 loss: 3.6154 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.0889 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5265 2023/02/02 07:12:49 - mmengine - INFO - Epoch(train) [170][1440/1879] lr: 3.2833e-02 eta: 22:59:33 time: 0.4975 data_time: 0.0350 memory: 18108 grad_norm: 4.1572 loss: 3.5679 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.0969 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.4710 2023/02/02 07:12:54 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 07:12:59 - mmengine - INFO - Epoch(train) [170][1460/1879] lr: 3.2826e-02 eta: 22:59:23 time: 0.5140 data_time: 0.0377 memory: 18108 grad_norm: 4.2174 loss: 3.5349 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0793 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.4555 2023/02/02 07:13:09 - mmengine - INFO - Epoch(train) [170][1480/1879] lr: 3.2819e-02 eta: 22:59:12 time: 0.5001 data_time: 0.0369 memory: 18108 grad_norm: 4.1300 loss: 3.6294 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1448 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.4846 2023/02/02 07:13:20 - mmengine - INFO - Epoch(train) [170][1500/1879] lr: 3.2812e-02 eta: 22:59:02 time: 0.5082 data_time: 0.0318 memory: 18108 grad_norm: 4.2549 loss: 3.6546 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1395 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.5151 2023/02/02 07:13:30 - mmengine - INFO - Epoch(train) [170][1520/1879] lr: 3.2805e-02 eta: 22:58:52 time: 0.5195 data_time: 0.0407 memory: 18108 grad_norm: 4.2910 loss: 3.6077 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1682 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.4395 2023/02/02 07:13:40 - mmengine - INFO - Epoch(train) [170][1540/1879] lr: 3.2798e-02 eta: 22:58:42 time: 0.5138 data_time: 0.0323 memory: 18108 grad_norm: 4.2608 loss: 3.4115 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.9751 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.4364 2023/02/02 07:13:50 - mmengine - INFO - Epoch(train) [170][1560/1879] lr: 3.2791e-02 eta: 22:58:31 time: 0.5030 data_time: 0.0375 memory: 18108 grad_norm: 4.2865 loss: 3.6909 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1863 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.5045 2023/02/02 07:14:01 - mmengine - INFO - Epoch(train) [170][1580/1879] lr: 3.2784e-02 eta: 22:58:21 time: 0.5241 data_time: 0.0343 memory: 18108 grad_norm: 4.1192 loss: 3.6161 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.1171 top1_acc_1: 0.5529 top5_acc_1: 0.7529 loss_cls_1: 1.4990 2023/02/02 07:14:11 - mmengine - INFO - Epoch(train) [170][1600/1879] lr: 3.2776e-02 eta: 22:58:11 time: 0.5135 data_time: 0.0437 memory: 18108 grad_norm: 4.1233 loss: 3.5084 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.0437 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.4646 2023/02/02 07:14:21 - mmengine - INFO - Epoch(train) [170][1620/1879] lr: 3.2769e-02 eta: 22:58:01 time: 0.5126 data_time: 0.0333 memory: 18108 grad_norm: 4.1834 loss: 3.5859 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 2.0924 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.4935 2023/02/02 07:14:32 - mmengine - INFO - Epoch(train) [170][1640/1879] lr: 3.2762e-02 eta: 22:57:51 time: 0.5039 data_time: 0.0347 memory: 18108 grad_norm: 4.1913 loss: 3.4891 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0178 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.4713 2023/02/02 07:14:42 - mmengine - INFO - Epoch(train) [170][1660/1879] lr: 3.2755e-02 eta: 22:57:41 time: 0.5310 data_time: 0.0308 memory: 18108 grad_norm: 4.2280 loss: 3.8227 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3200 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.5027 2023/02/02 07:14:52 - mmengine - INFO - Epoch(train) [170][1680/1879] lr: 3.2748e-02 eta: 22:57:30 time: 0.5133 data_time: 0.0372 memory: 18108 grad_norm: 4.1093 loss: 3.6086 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1878 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.4208 2023/02/02 07:15:03 - mmengine - INFO - Epoch(train) [170][1700/1879] lr: 3.2741e-02 eta: 22:57:20 time: 0.5234 data_time: 0.0319 memory: 18108 grad_norm: 4.0695 loss: 3.4189 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9724 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.4464 2023/02/02 07:15:13 - mmengine - INFO - Epoch(train) [170][1720/1879] lr: 3.2734e-02 eta: 22:57:10 time: 0.5214 data_time: 0.0369 memory: 18108 grad_norm: 4.1864 loss: 3.5413 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0030 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.5383 2023/02/02 07:15:24 - mmengine - INFO - Epoch(train) [170][1740/1879] lr: 3.2727e-02 eta: 22:57:00 time: 0.5109 data_time: 0.0311 memory: 18108 grad_norm: 4.2322 loss: 3.8248 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.2155 top1_acc_1: 0.5294 top5_acc_1: 0.8000 loss_cls_1: 1.6094 2023/02/02 07:15:34 - mmengine - INFO - Epoch(train) [170][1760/1879] lr: 3.2720e-02 eta: 22:56:50 time: 0.5010 data_time: 0.0324 memory: 18108 grad_norm: 4.2246 loss: 3.3834 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0192 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.3641 2023/02/02 07:15:44 - mmengine - INFO - Epoch(train) [170][1780/1879] lr: 3.2713e-02 eta: 22:56:40 time: 0.5157 data_time: 0.0364 memory: 18108 grad_norm: 4.1274 loss: 3.4986 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.0292 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.4693 2023/02/02 07:15:54 - mmengine - INFO - Epoch(train) [170][1800/1879] lr: 3.2706e-02 eta: 22:56:29 time: 0.5004 data_time: 0.0376 memory: 18108 grad_norm: 4.2614 loss: 3.4458 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0357 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.4101 2023/02/02 07:16:04 - mmengine - INFO - Epoch(train) [170][1820/1879] lr: 3.2699e-02 eta: 22:56:19 time: 0.5080 data_time: 0.0375 memory: 18108 grad_norm: 4.2428 loss: 3.5273 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0892 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.4381 2023/02/02 07:16:14 - mmengine - INFO - Epoch(train) [170][1840/1879] lr: 3.2692e-02 eta: 22:56:09 time: 0.5099 data_time: 0.0308 memory: 18108 grad_norm: 4.2046 loss: 3.8190 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2843 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.5346 2023/02/02 07:16:25 - mmengine - INFO - Epoch(train) [170][1860/1879] lr: 3.2685e-02 eta: 22:55:59 time: 0.5218 data_time: 0.0373 memory: 18108 grad_norm: 4.1622 loss: 3.8035 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.4181 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.3854 2023/02/02 07:16:34 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 07:16:34 - mmengine - INFO - Epoch(train) [170][1879/1879] lr: 3.2678e-02 eta: 22:55:49 time: 0.4863 data_time: 0.0315 memory: 18108 grad_norm: 4.1663 loss: 3.6264 top1_acc_0: 0.5714 top5_acc_0: 0.7143 loss_cls_0: 2.0072 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.6192 2023/02/02 07:16:49 - mmengine - INFO - Epoch(train) [171][ 20/1879] lr: 3.2671e-02 eta: 22:55:41 time: 0.7162 data_time: 0.2543 memory: 18108 grad_norm: 4.1570 loss: 3.4912 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9710 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5202 2023/02/02 07:16:59 - mmengine - INFO - Epoch(train) [171][ 40/1879] lr: 3.2664e-02 eta: 22:55:30 time: 0.4867 data_time: 0.0341 memory: 18108 grad_norm: 4.1836 loss: 3.5621 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.0879 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.4743 2023/02/02 07:17:09 - mmengine - INFO - Epoch(train) [171][ 60/1879] lr: 3.2657e-02 eta: 22:55:20 time: 0.4902 data_time: 0.0368 memory: 18108 grad_norm: 4.1475 loss: 3.3933 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.0072 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.3861 2023/02/02 07:17:19 - mmengine - INFO - Epoch(train) [171][ 80/1879] lr: 3.2650e-02 eta: 22:55:09 time: 0.5121 data_time: 0.0335 memory: 18108 grad_norm: 4.1586 loss: 3.6560 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1847 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.4713 2023/02/02 07:17:29 - mmengine - INFO - Epoch(train) [171][ 100/1879] lr: 3.2643e-02 eta: 22:54:59 time: 0.4821 data_time: 0.0365 memory: 18108 grad_norm: 4.1893 loss: 3.4685 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.0973 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.3712 2023/02/02 07:17:38 - mmengine - INFO - Epoch(train) [171][ 120/1879] lr: 3.2636e-02 eta: 22:54:48 time: 0.4848 data_time: 0.0357 memory: 18108 grad_norm: 4.1621 loss: 3.7489 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.2890 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.4600 2023/02/02 07:17:49 - mmengine - INFO - Epoch(train) [171][ 140/1879] lr: 3.2628e-02 eta: 22:54:38 time: 0.5170 data_time: 0.0365 memory: 18108 grad_norm: 4.1778 loss: 3.4763 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0356 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.4407 2023/02/02 07:17:59 - mmengine - INFO - Epoch(train) [171][ 160/1879] lr: 3.2621e-02 eta: 22:54:28 time: 0.4998 data_time: 0.0341 memory: 18108 grad_norm: 4.2461 loss: 3.5378 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.1945 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.3433 2023/02/02 07:18:08 - mmengine - INFO - Epoch(train) [171][ 180/1879] lr: 3.2614e-02 eta: 22:54:17 time: 0.4851 data_time: 0.0349 memory: 18108 grad_norm: 4.1726 loss: 3.5029 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0312 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.4717 2023/02/02 07:18:18 - mmengine - INFO - Epoch(train) [171][ 200/1879] lr: 3.2607e-02 eta: 22:54:07 time: 0.4972 data_time: 0.0343 memory: 18108 grad_norm: 4.1838 loss: 3.3705 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9397 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.4308 2023/02/02 07:18:29 - mmengine - INFO - Epoch(train) [171][ 220/1879] lr: 3.2600e-02 eta: 22:53:57 time: 0.5167 data_time: 0.0353 memory: 18108 grad_norm: 4.2322 loss: 3.5717 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.0670 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.5047 2023/02/02 07:18:39 - mmengine - INFO - Epoch(train) [171][ 240/1879] lr: 3.2593e-02 eta: 22:53:47 time: 0.5086 data_time: 0.0384 memory: 18108 grad_norm: 4.2136 loss: 3.6153 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.1818 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.4335 2023/02/02 07:18:49 - mmengine - INFO - Epoch(train) [171][ 260/1879] lr: 3.2586e-02 eta: 22:53:36 time: 0.5044 data_time: 0.0315 memory: 18108 grad_norm: 4.1410 loss: 3.6003 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1346 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.4657 2023/02/02 07:19:00 - mmengine - INFO - Epoch(train) [171][ 280/1879] lr: 3.2579e-02 eta: 22:53:27 time: 0.5361 data_time: 0.0384 memory: 18108 grad_norm: 4.1680 loss: 3.3992 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0026 top1_acc_1: 0.5647 top5_acc_1: 0.7882 loss_cls_1: 1.3966 2023/02/02 07:19:10 - mmengine - INFO - Epoch(train) [171][ 300/1879] lr: 3.2572e-02 eta: 22:53:16 time: 0.5022 data_time: 0.0327 memory: 18108 grad_norm: 4.1498 loss: 3.3981 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9076 top1_acc_1: 0.5176 top5_acc_1: 0.7882 loss_cls_1: 1.4905 2023/02/02 07:19:20 - mmengine - INFO - Epoch(train) [171][ 320/1879] lr: 3.2565e-02 eta: 22:53:06 time: 0.5197 data_time: 0.0376 memory: 18108 grad_norm: 4.2996 loss: 3.7621 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.3427 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.4194 2023/02/02 07:19:30 - mmengine - INFO - Epoch(train) [171][ 340/1879] lr: 3.2558e-02 eta: 22:52:56 time: 0.5022 data_time: 0.0293 memory: 18108 grad_norm: 4.2684 loss: 3.5031 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0598 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.4434 2023/02/02 07:19:41 - mmengine - INFO - Epoch(train) [171][ 360/1879] lr: 3.2551e-02 eta: 22:52:46 time: 0.5209 data_time: 0.0369 memory: 18108 grad_norm: 4.2645 loss: 3.4215 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9637 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.4578 2023/02/02 07:19:51 - mmengine - INFO - Epoch(train) [171][ 380/1879] lr: 3.2544e-02 eta: 22:52:35 time: 0.5083 data_time: 0.0291 memory: 18108 grad_norm: 4.2367 loss: 3.5507 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0382 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.5125 2023/02/02 07:20:01 - mmengine - INFO - Epoch(train) [171][ 400/1879] lr: 3.2537e-02 eta: 22:52:25 time: 0.5144 data_time: 0.0439 memory: 18108 grad_norm: 4.1607 loss: 3.6195 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1571 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.4625 2023/02/02 07:20:12 - mmengine - INFO - Epoch(train) [171][ 420/1879] lr: 3.2530e-02 eta: 22:52:15 time: 0.5158 data_time: 0.0290 memory: 18108 grad_norm: 4.1284 loss: 3.3959 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9790 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.4169 2023/02/02 07:20:22 - mmengine - INFO - Epoch(train) [171][ 440/1879] lr: 3.2523e-02 eta: 22:52:05 time: 0.5041 data_time: 0.0376 memory: 18108 grad_norm: 4.2030 loss: 3.6580 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1909 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.4670 2023/02/02 07:20:32 - mmengine - INFO - Epoch(train) [171][ 460/1879] lr: 3.2516e-02 eta: 22:51:55 time: 0.5168 data_time: 0.0339 memory: 18108 grad_norm: 4.3018 loss: 3.5088 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0678 top1_acc_1: 0.5412 top5_acc_1: 0.8824 loss_cls_1: 1.4410 2023/02/02 07:20:42 - mmengine - INFO - Epoch(train) [171][ 480/1879] lr: 3.2508e-02 eta: 22:51:44 time: 0.5074 data_time: 0.0376 memory: 18108 grad_norm: 4.2523 loss: 3.4194 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9052 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.5142 2023/02/02 07:20:52 - mmengine - INFO - Epoch(train) [171][ 500/1879] lr: 3.2501e-02 eta: 22:51:34 time: 0.5044 data_time: 0.0334 memory: 18108 grad_norm: 4.2231 loss: 3.5961 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0996 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.4965 2023/02/02 07:21:03 - mmengine - INFO - Epoch(train) [171][ 520/1879] lr: 3.2494e-02 eta: 22:51:24 time: 0.5080 data_time: 0.0364 memory: 18108 grad_norm: 4.2866 loss: 3.4380 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.9874 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.4505 2023/02/02 07:21:13 - mmengine - INFO - Epoch(train) [171][ 540/1879] lr: 3.2487e-02 eta: 22:51:14 time: 0.5166 data_time: 0.0379 memory: 18108 grad_norm: 4.1942 loss: 3.6262 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.0842 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.5420 2023/02/02 07:21:23 - mmengine - INFO - Epoch(train) [171][ 560/1879] lr: 3.2480e-02 eta: 22:51:04 time: 0.5157 data_time: 0.0378 memory: 18108 grad_norm: 4.2984 loss: 3.7716 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2851 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.4865 2023/02/02 07:21:28 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 07:21:33 - mmengine - INFO - Epoch(train) [171][ 580/1879] lr: 3.2473e-02 eta: 22:50:53 time: 0.5028 data_time: 0.0301 memory: 18108 grad_norm: 4.0789 loss: 3.6225 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1934 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.4290 2023/02/02 07:21:43 - mmengine - INFO - Epoch(train) [171][ 600/1879] lr: 3.2466e-02 eta: 22:50:43 time: 0.5093 data_time: 0.0453 memory: 18108 grad_norm: 4.3139 loss: 3.4281 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.9371 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.4911 2023/02/02 07:21:54 - mmengine - INFO - Epoch(train) [171][ 620/1879] lr: 3.2459e-02 eta: 22:50:33 time: 0.5050 data_time: 0.0304 memory: 18108 grad_norm: 4.2249 loss: 3.4586 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.0524 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.4062 2023/02/02 07:22:04 - mmengine - INFO - Epoch(train) [171][ 640/1879] lr: 3.2452e-02 eta: 22:50:23 time: 0.5249 data_time: 0.0384 memory: 18108 grad_norm: 4.2428 loss: 3.4437 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9877 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.4560 2023/02/02 07:22:14 - mmengine - INFO - Epoch(train) [171][ 660/1879] lr: 3.2445e-02 eta: 22:50:12 time: 0.5134 data_time: 0.0366 memory: 18108 grad_norm: 4.2807 loss: 3.5078 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0550 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.4528 2023/02/02 07:22:24 - mmengine - INFO - Epoch(train) [171][ 680/1879] lr: 3.2438e-02 eta: 22:50:02 time: 0.5028 data_time: 0.0355 memory: 18108 grad_norm: 4.2419 loss: 3.4033 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9400 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.4633 2023/02/02 07:22:35 - mmengine - INFO - Epoch(train) [171][ 700/1879] lr: 3.2431e-02 eta: 22:49:52 time: 0.5134 data_time: 0.0356 memory: 18108 grad_norm: 4.1546 loss: 3.6472 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1358 top1_acc_1: 0.5647 top5_acc_1: 0.7765 loss_cls_1: 1.5114 2023/02/02 07:22:45 - mmengine - INFO - Epoch(train) [171][ 720/1879] lr: 3.2424e-02 eta: 22:49:42 time: 0.5074 data_time: 0.0410 memory: 18108 grad_norm: 4.2199 loss: 3.5495 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0422 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.5074 2023/02/02 07:22:55 - mmengine - INFO - Epoch(train) [171][ 740/1879] lr: 3.2417e-02 eta: 22:49:32 time: 0.5160 data_time: 0.0345 memory: 18108 grad_norm: 4.1503 loss: 3.3666 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 1.8531 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.5135 2023/02/02 07:23:05 - mmengine - INFO - Epoch(train) [171][ 760/1879] lr: 3.2410e-02 eta: 22:49:21 time: 0.5001 data_time: 0.0313 memory: 18108 grad_norm: 4.2191 loss: 3.7652 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2272 top1_acc_1: 0.6706 top5_acc_1: 0.8000 loss_cls_1: 1.5380 2023/02/02 07:23:16 - mmengine - INFO - Epoch(train) [171][ 780/1879] lr: 3.2403e-02 eta: 22:49:11 time: 0.5097 data_time: 0.0343 memory: 18108 grad_norm: 4.1665 loss: 3.5969 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.1164 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.4806 2023/02/02 07:23:25 - mmengine - INFO - Epoch(train) [171][ 800/1879] lr: 3.2396e-02 eta: 22:49:01 time: 0.4984 data_time: 0.0400 memory: 18108 grad_norm: 4.2767 loss: 3.4308 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9541 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.4767 2023/02/02 07:23:36 - mmengine - INFO - Epoch(train) [171][ 820/1879] lr: 3.2389e-02 eta: 22:48:50 time: 0.5059 data_time: 0.0334 memory: 18108 grad_norm: 4.2134 loss: 3.5001 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0071 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.4929 2023/02/02 07:23:46 - mmengine - INFO - Epoch(train) [171][ 840/1879] lr: 3.2382e-02 eta: 22:48:40 time: 0.4954 data_time: 0.0341 memory: 18108 grad_norm: 4.1653 loss: 3.3683 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8713 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.4971 2023/02/02 07:23:56 - mmengine - INFO - Epoch(train) [171][ 860/1879] lr: 3.2374e-02 eta: 22:48:30 time: 0.5111 data_time: 0.0396 memory: 18108 grad_norm: 4.2199 loss: 3.5864 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0690 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.5173 2023/02/02 07:24:06 - mmengine - INFO - Epoch(train) [171][ 880/1879] lr: 3.2367e-02 eta: 22:48:19 time: 0.4951 data_time: 0.0343 memory: 18108 grad_norm: 4.2367 loss: 3.6015 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1932 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.4083 2023/02/02 07:24:16 - mmengine - INFO - Epoch(train) [171][ 900/1879] lr: 3.2360e-02 eta: 22:48:09 time: 0.5111 data_time: 0.0306 memory: 18108 grad_norm: 4.1524 loss: 3.3879 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9656 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4223 2023/02/02 07:24:26 - mmengine - INFO - Epoch(train) [171][ 920/1879] lr: 3.2353e-02 eta: 22:47:59 time: 0.5111 data_time: 0.0374 memory: 18108 grad_norm: 4.1497 loss: 3.5842 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 2.0800 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.5042 2023/02/02 07:24:36 - mmengine - INFO - Epoch(train) [171][ 940/1879] lr: 3.2346e-02 eta: 22:47:49 time: 0.5109 data_time: 0.0291 memory: 18108 grad_norm: 4.1876 loss: 3.5903 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0926 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.4977 2023/02/02 07:24:47 - mmengine - INFO - Epoch(train) [171][ 960/1879] lr: 3.2339e-02 eta: 22:47:39 time: 0.5287 data_time: 0.0398 memory: 18108 grad_norm: 4.2020 loss: 3.5675 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1253 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4422 2023/02/02 07:24:57 - mmengine - INFO - Epoch(train) [171][ 980/1879] lr: 3.2332e-02 eta: 22:47:29 time: 0.5131 data_time: 0.0310 memory: 18108 grad_norm: 4.2443 loss: 3.5524 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0351 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.5173 2023/02/02 07:25:08 - mmengine - INFO - Epoch(train) [171][1000/1879] lr: 3.2325e-02 eta: 22:47:18 time: 0.5148 data_time: 0.0382 memory: 18108 grad_norm: 4.1284 loss: 3.4479 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0375 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.4104 2023/02/02 07:25:18 - mmengine - INFO - Epoch(train) [171][1020/1879] lr: 3.2318e-02 eta: 22:47:08 time: 0.5215 data_time: 0.0308 memory: 18108 grad_norm: 4.1599 loss: 3.3275 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8527 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.4747 2023/02/02 07:25:28 - mmengine - INFO - Epoch(train) [171][1040/1879] lr: 3.2311e-02 eta: 22:46:58 time: 0.5029 data_time: 0.0377 memory: 18108 grad_norm: 4.2322 loss: 3.4456 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0187 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.4269 2023/02/02 07:25:39 - mmengine - INFO - Epoch(train) [171][1060/1879] lr: 3.2304e-02 eta: 22:46:48 time: 0.5253 data_time: 0.0298 memory: 18108 grad_norm: 4.2276 loss: 3.4371 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.9837 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.4534 2023/02/02 07:25:49 - mmengine - INFO - Epoch(train) [171][1080/1879] lr: 3.2297e-02 eta: 22:46:38 time: 0.5000 data_time: 0.0368 memory: 18108 grad_norm: 4.1315 loss: 3.4178 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9766 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.4412 2023/02/02 07:25:59 - mmengine - INFO - Epoch(train) [171][1100/1879] lr: 3.2290e-02 eta: 22:46:27 time: 0.5208 data_time: 0.0284 memory: 18108 grad_norm: 4.2243 loss: 3.3371 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.8659 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.4712 2023/02/02 07:26:09 - mmengine - INFO - Epoch(train) [171][1120/1879] lr: 3.2283e-02 eta: 22:46:17 time: 0.5061 data_time: 0.0447 memory: 18108 grad_norm: 4.1838 loss: 3.6983 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2030 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.4953 2023/02/02 07:26:20 - mmengine - INFO - Epoch(train) [171][1140/1879] lr: 3.2276e-02 eta: 22:46:07 time: 0.5255 data_time: 0.0291 memory: 18108 grad_norm: 4.2583 loss: 3.7070 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2849 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 1.4221 2023/02/02 07:26:30 - mmengine - INFO - Epoch(train) [171][1160/1879] lr: 3.2269e-02 eta: 22:45:57 time: 0.5041 data_time: 0.0394 memory: 18108 grad_norm: 4.1693 loss: 3.8165 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.3094 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5071 2023/02/02 07:26:40 - mmengine - INFO - Epoch(train) [171][1180/1879] lr: 3.2262e-02 eta: 22:45:47 time: 0.5130 data_time: 0.0289 memory: 18108 grad_norm: 4.2940 loss: 3.7383 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3122 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.4261 2023/02/02 07:26:51 - mmengine - INFO - Epoch(train) [171][1200/1879] lr: 3.2255e-02 eta: 22:45:37 time: 0.5259 data_time: 0.0461 memory: 18108 grad_norm: 4.1791 loss: 3.7355 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2461 top1_acc_1: 0.6471 top5_acc_1: 0.9176 loss_cls_1: 1.4894 2023/02/02 07:27:01 - mmengine - INFO - Epoch(train) [171][1220/1879] lr: 3.2248e-02 eta: 22:45:26 time: 0.5137 data_time: 0.0296 memory: 18108 grad_norm: 4.1697 loss: 3.5629 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0180 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.5450 2023/02/02 07:27:11 - mmengine - INFO - Epoch(train) [171][1240/1879] lr: 3.2241e-02 eta: 22:45:16 time: 0.5102 data_time: 0.0366 memory: 18108 grad_norm: 4.1111 loss: 3.4558 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.9518 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5039 2023/02/02 07:27:22 - mmengine - INFO - Epoch(train) [171][1260/1879] lr: 3.2234e-02 eta: 22:45:06 time: 0.5197 data_time: 0.0361 memory: 18108 grad_norm: 4.2526 loss: 3.5472 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 2.0825 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.4647 2023/02/02 07:27:32 - mmengine - INFO - Epoch(train) [171][1280/1879] lr: 3.2227e-02 eta: 22:44:56 time: 0.5162 data_time: 0.0363 memory: 18108 grad_norm: 4.1473 loss: 3.6959 top1_acc_0: 0.1250 top5_acc_0: 0.5000 loss_cls_0: 2.1318 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.5640 2023/02/02 07:27:42 - mmengine - INFO - Epoch(train) [171][1300/1879] lr: 3.2220e-02 eta: 22:44:46 time: 0.5099 data_time: 0.0304 memory: 18108 grad_norm: 4.2402 loss: 3.6534 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1514 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.5020 2023/02/02 07:27:53 - mmengine - INFO - Epoch(train) [171][1320/1879] lr: 3.2212e-02 eta: 22:44:35 time: 0.5121 data_time: 0.0444 memory: 18108 grad_norm: 4.2162 loss: 3.3641 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9117 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.4524 2023/02/02 07:28:03 - mmengine - INFO - Epoch(train) [171][1340/1879] lr: 3.2205e-02 eta: 22:44:25 time: 0.5314 data_time: 0.0311 memory: 18108 grad_norm: 4.1498 loss: 3.4907 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0363 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.4543 2023/02/02 07:28:13 - mmengine - INFO - Epoch(train) [171][1360/1879] lr: 3.2198e-02 eta: 22:44:15 time: 0.5023 data_time: 0.0376 memory: 18108 grad_norm: 4.2020 loss: 3.6718 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2028 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.4691 2023/02/02 07:28:24 - mmengine - INFO - Epoch(train) [171][1380/1879] lr: 3.2191e-02 eta: 22:44:05 time: 0.5221 data_time: 0.0295 memory: 18108 grad_norm: 4.3056 loss: 3.7862 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2642 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.5220 2023/02/02 07:28:34 - mmengine - INFO - Epoch(train) [171][1400/1879] lr: 3.2184e-02 eta: 22:43:55 time: 0.5170 data_time: 0.0376 memory: 18108 grad_norm: 4.2525 loss: 3.3400 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8821 top1_acc_1: 0.6118 top5_acc_1: 0.9059 loss_cls_1: 1.4578 2023/02/02 07:28:44 - mmengine - INFO - Epoch(train) [171][1420/1879] lr: 3.2177e-02 eta: 22:43:45 time: 0.5195 data_time: 0.0300 memory: 18108 grad_norm: 4.2211 loss: 3.5326 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0286 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.5039 2023/02/02 07:28:55 - mmengine - INFO - Epoch(train) [171][1440/1879] lr: 3.2170e-02 eta: 22:43:34 time: 0.5032 data_time: 0.0358 memory: 18108 grad_norm: 4.1767 loss: 3.4364 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9742 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.4622 2023/02/02 07:29:05 - mmengine - INFO - Epoch(train) [171][1460/1879] lr: 3.2163e-02 eta: 22:43:24 time: 0.5229 data_time: 0.0375 memory: 18108 grad_norm: 4.1553 loss: 3.4715 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.9680 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.5035 2023/02/02 07:29:15 - mmengine - INFO - Epoch(train) [171][1480/1879] lr: 3.2156e-02 eta: 22:43:14 time: 0.5129 data_time: 0.0364 memory: 18108 grad_norm: 4.1698 loss: 3.4695 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0062 top1_acc_1: 0.6471 top5_acc_1: 0.7765 loss_cls_1: 1.4633 2023/02/02 07:29:26 - mmengine - INFO - Epoch(train) [171][1500/1879] lr: 3.2149e-02 eta: 22:43:04 time: 0.5110 data_time: 0.0310 memory: 18108 grad_norm: 4.1919 loss: 3.5675 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1261 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.4414 2023/02/02 07:29:36 - mmengine - INFO - Epoch(train) [171][1520/1879] lr: 3.2142e-02 eta: 22:42:54 time: 0.5213 data_time: 0.0441 memory: 18108 grad_norm: 4.2484 loss: 3.8183 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2198 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.5985 2023/02/02 07:29:46 - mmengine - INFO - Epoch(train) [171][1540/1879] lr: 3.2135e-02 eta: 22:42:44 time: 0.5147 data_time: 0.0311 memory: 18108 grad_norm: 4.3529 loss: 3.5408 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0077 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.5331 2023/02/02 07:29:57 - mmengine - INFO - Epoch(train) [171][1560/1879] lr: 3.2128e-02 eta: 22:42:33 time: 0.5101 data_time: 0.0370 memory: 18108 grad_norm: 4.2656 loss: 3.6566 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.1310 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.5256 2023/02/02 07:30:02 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 07:30:07 - mmengine - INFO - Epoch(train) [171][1580/1879] lr: 3.2121e-02 eta: 22:42:23 time: 0.5086 data_time: 0.0308 memory: 18108 grad_norm: 4.1202 loss: 3.3811 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.8920 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.4891 2023/02/02 07:30:17 - mmengine - INFO - Epoch(train) [171][1600/1879] lr: 3.2114e-02 eta: 22:42:13 time: 0.5113 data_time: 0.0368 memory: 18108 grad_norm: 4.2254 loss: 3.5053 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0444 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.4609 2023/02/02 07:30:27 - mmengine - INFO - Epoch(train) [171][1620/1879] lr: 3.2107e-02 eta: 22:42:03 time: 0.5150 data_time: 0.0314 memory: 18108 grad_norm: 4.1768 loss: 3.6143 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1187 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.4957 2023/02/02 07:30:38 - mmengine - INFO - Epoch(train) [171][1640/1879] lr: 3.2100e-02 eta: 22:41:53 time: 0.5229 data_time: 0.0346 memory: 18108 grad_norm: 4.1936 loss: 3.3559 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.8280 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.5279 2023/02/02 07:30:48 - mmengine - INFO - Epoch(train) [171][1660/1879] lr: 3.2093e-02 eta: 22:41:43 time: 0.5291 data_time: 0.0435 memory: 18108 grad_norm: 4.2534 loss: 3.5968 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0894 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.5074 2023/02/02 07:30:59 - mmengine - INFO - Epoch(train) [171][1680/1879] lr: 3.2086e-02 eta: 22:41:32 time: 0.5160 data_time: 0.0355 memory: 18108 grad_norm: 4.3185 loss: 3.6198 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1451 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.4748 2023/02/02 07:31:09 - mmengine - INFO - Epoch(train) [171][1700/1879] lr: 3.2079e-02 eta: 22:41:22 time: 0.5254 data_time: 0.0307 memory: 18108 grad_norm: 4.0976 loss: 3.4389 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0133 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.4256 2023/02/02 07:31:19 - mmengine - INFO - Epoch(train) [171][1720/1879] lr: 3.2072e-02 eta: 22:41:12 time: 0.5048 data_time: 0.0364 memory: 18108 grad_norm: 4.2675 loss: 3.5661 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1043 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.4618 2023/02/02 07:31:30 - mmengine - INFO - Epoch(train) [171][1740/1879] lr: 3.2065e-02 eta: 22:41:02 time: 0.5199 data_time: 0.0313 memory: 18108 grad_norm: 4.2456 loss: 3.5343 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.0580 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.4763 2023/02/02 07:31:40 - mmengine - INFO - Epoch(train) [171][1760/1879] lr: 3.2058e-02 eta: 22:40:52 time: 0.5003 data_time: 0.0356 memory: 18108 grad_norm: 4.3276 loss: 3.5135 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 1.9998 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.5136 2023/02/02 07:31:50 - mmengine - INFO - Epoch(train) [171][1780/1879] lr: 3.2051e-02 eta: 22:40:42 time: 0.5263 data_time: 0.0312 memory: 18108 grad_norm: 4.1949 loss: 3.6102 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0915 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.5187 2023/02/02 07:32:00 - mmengine - INFO - Epoch(train) [171][1800/1879] lr: 3.2044e-02 eta: 22:40:31 time: 0.5075 data_time: 0.0417 memory: 18108 grad_norm: 4.1644 loss: 3.6825 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2103 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.4721 2023/02/02 07:32:11 - mmengine - INFO - Epoch(train) [171][1820/1879] lr: 3.2037e-02 eta: 22:40:21 time: 0.5139 data_time: 0.0330 memory: 18108 grad_norm: 4.2108 loss: 3.5054 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0447 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.4607 2023/02/02 07:32:21 - mmengine - INFO - Epoch(train) [171][1840/1879] lr: 3.2030e-02 eta: 22:40:11 time: 0.5089 data_time: 0.0365 memory: 18108 grad_norm: 4.1277 loss: 3.6140 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1198 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4942 2023/02/02 07:32:31 - mmengine - INFO - Epoch(train) [171][1860/1879] lr: 3.2023e-02 eta: 22:40:01 time: 0.5102 data_time: 0.0321 memory: 18108 grad_norm: 4.1518 loss: 3.6466 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.0612 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.5855 2023/02/02 07:32:40 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 07:32:40 - mmengine - INFO - Epoch(train) [171][1879/1879] lr: 3.2016e-02 eta: 22:39:51 time: 0.4849 data_time: 0.0331 memory: 18108 grad_norm: 4.2537 loss: 3.8253 top1_acc_0: 0.5714 top5_acc_0: 0.8571 loss_cls_0: 2.2867 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.5386 2023/02/02 07:32:55 - mmengine - INFO - Epoch(train) [172][ 20/1879] lr: 3.2009e-02 eta: 22:39:43 time: 0.7171 data_time: 0.2551 memory: 18108 grad_norm: 4.2186 loss: 3.4635 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.0496 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.4139 2023/02/02 07:33:05 - mmengine - INFO - Epoch(train) [172][ 40/1879] lr: 3.2002e-02 eta: 22:39:32 time: 0.4742 data_time: 0.0341 memory: 18108 grad_norm: 4.2626 loss: 3.6219 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1909 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.4310 2023/02/02 07:33:15 - mmengine - INFO - Epoch(train) [172][ 60/1879] lr: 3.1995e-02 eta: 22:39:22 time: 0.4922 data_time: 0.0386 memory: 18108 grad_norm: 4.2266 loss: 3.1852 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.7530 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.4321 2023/02/02 07:33:26 - mmengine - INFO - Epoch(train) [172][ 80/1879] lr: 3.1988e-02 eta: 22:39:12 time: 0.5389 data_time: 0.0326 memory: 18108 grad_norm: 4.1447 loss: 3.3207 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.8681 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.4526 2023/02/02 07:33:36 - mmengine - INFO - Epoch(train) [172][ 100/1879] lr: 3.1981e-02 eta: 22:39:01 time: 0.5010 data_time: 0.0400 memory: 18108 grad_norm: 4.1500 loss: 3.4456 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9960 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.4495 2023/02/02 07:33:46 - mmengine - INFO - Epoch(train) [172][ 120/1879] lr: 3.1974e-02 eta: 22:38:51 time: 0.4924 data_time: 0.0314 memory: 18108 grad_norm: 4.2110 loss: 3.7525 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.3104 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.4421 2023/02/02 07:33:56 - mmengine - INFO - Epoch(train) [172][ 140/1879] lr: 3.1967e-02 eta: 22:38:41 time: 0.5289 data_time: 0.0433 memory: 18108 grad_norm: 4.1929 loss: 3.2781 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8821 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.3959 2023/02/02 07:34:06 - mmengine - INFO - Epoch(train) [172][ 160/1879] lr: 3.1960e-02 eta: 22:38:31 time: 0.5087 data_time: 0.0301 memory: 18108 grad_norm: 4.2477 loss: 3.3413 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.9802 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.3611 2023/02/02 07:34:16 - mmengine - INFO - Epoch(train) [172][ 180/1879] lr: 3.1953e-02 eta: 22:38:20 time: 0.5017 data_time: 0.0366 memory: 18108 grad_norm: 4.2188 loss: 3.3527 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9752 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.3776 2023/02/02 07:34:27 - mmengine - INFO - Epoch(train) [172][ 200/1879] lr: 3.1946e-02 eta: 22:38:10 time: 0.5080 data_time: 0.0320 memory: 18108 grad_norm: 4.2473 loss: 3.4438 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.0754 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.3685 2023/02/02 07:34:37 - mmengine - INFO - Epoch(train) [172][ 220/1879] lr: 3.1939e-02 eta: 22:38:00 time: 0.5229 data_time: 0.0454 memory: 18108 grad_norm: 4.2777 loss: 3.5347 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0596 top1_acc_1: 0.6824 top5_acc_1: 0.8118 loss_cls_1: 1.4751 2023/02/02 07:34:47 - mmengine - INFO - Epoch(train) [172][ 240/1879] lr: 3.1932e-02 eta: 22:37:50 time: 0.5063 data_time: 0.0327 memory: 18108 grad_norm: 4.1456 loss: 3.3212 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.8706 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.4506 2023/02/02 07:34:57 - mmengine - INFO - Epoch(train) [172][ 260/1879] lr: 3.1925e-02 eta: 22:37:39 time: 0.5025 data_time: 0.0377 memory: 18108 grad_norm: 4.2378 loss: 3.5305 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0920 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.4385 2023/02/02 07:35:08 - mmengine - INFO - Epoch(train) [172][ 280/1879] lr: 3.1918e-02 eta: 22:37:29 time: 0.5336 data_time: 0.0385 memory: 18108 grad_norm: 4.1009 loss: 3.3490 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.9180 top1_acc_1: 0.6824 top5_acc_1: 0.8118 loss_cls_1: 1.4311 2023/02/02 07:35:18 - mmengine - INFO - Epoch(train) [172][ 300/1879] lr: 3.1911e-02 eta: 22:37:19 time: 0.5208 data_time: 0.0369 memory: 18108 grad_norm: 4.1977 loss: 3.5927 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1219 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.4707 2023/02/02 07:35:28 - mmengine - INFO - Epoch(train) [172][ 320/1879] lr: 3.1904e-02 eta: 22:37:09 time: 0.5025 data_time: 0.0290 memory: 18108 grad_norm: 4.1803 loss: 3.5308 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.0227 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.5081 2023/02/02 07:35:39 - mmengine - INFO - Epoch(train) [172][ 340/1879] lr: 3.1897e-02 eta: 22:36:59 time: 0.5227 data_time: 0.0446 memory: 18108 grad_norm: 4.2533 loss: 3.5636 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0537 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5098 2023/02/02 07:35:49 - mmengine - INFO - Epoch(train) [172][ 360/1879] lr: 3.1889e-02 eta: 22:36:49 time: 0.5190 data_time: 0.0295 memory: 18108 grad_norm: 4.1480 loss: 3.3241 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 1.9206 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.4035 2023/02/02 07:36:00 - mmengine - INFO - Epoch(train) [172][ 380/1879] lr: 3.1882e-02 eta: 22:36:39 time: 0.5092 data_time: 0.0418 memory: 18108 grad_norm: 4.2887 loss: 3.5397 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0820 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.4578 2023/02/02 07:36:10 - mmengine - INFO - Epoch(train) [172][ 400/1879] lr: 3.1875e-02 eta: 22:36:28 time: 0.5096 data_time: 0.0361 memory: 18108 grad_norm: 4.1847 loss: 3.3614 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9046 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.4569 2023/02/02 07:36:20 - mmengine - INFO - Epoch(train) [172][ 420/1879] lr: 3.1868e-02 eta: 22:36:18 time: 0.5070 data_time: 0.0388 memory: 18108 grad_norm: 4.2171 loss: 3.5994 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0237 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.5757 2023/02/02 07:36:31 - mmengine - INFO - Epoch(train) [172][ 440/1879] lr: 3.1861e-02 eta: 22:36:08 time: 0.5276 data_time: 0.0321 memory: 18108 grad_norm: 4.1957 loss: 3.5499 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1487 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.4012 2023/02/02 07:36:41 - mmengine - INFO - Epoch(train) [172][ 460/1879] lr: 3.1854e-02 eta: 22:35:58 time: 0.5145 data_time: 0.0453 memory: 18108 grad_norm: 4.2592 loss: 3.6599 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2335 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.4263 2023/02/02 07:36:51 - mmengine - INFO - Epoch(train) [172][ 480/1879] lr: 3.1847e-02 eta: 22:35:48 time: 0.5111 data_time: 0.0304 memory: 18108 grad_norm: 4.2562 loss: 3.5376 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0195 top1_acc_1: 0.6824 top5_acc_1: 0.8118 loss_cls_1: 1.5181 2023/02/02 07:37:02 - mmengine - INFO - Epoch(train) [172][ 500/1879] lr: 3.1840e-02 eta: 22:35:38 time: 0.5237 data_time: 0.0388 memory: 18108 grad_norm: 4.1879 loss: 3.5363 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0742 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.4621 2023/02/02 07:37:12 - mmengine - INFO - Epoch(train) [172][ 520/1879] lr: 3.1833e-02 eta: 22:35:27 time: 0.5107 data_time: 0.0319 memory: 18108 grad_norm: 4.2179 loss: 3.7775 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1711 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.6063 2023/02/02 07:37:22 - mmengine - INFO - Epoch(train) [172][ 540/1879] lr: 3.1826e-02 eta: 22:35:17 time: 0.5215 data_time: 0.0441 memory: 18108 grad_norm: 4.2551 loss: 3.4302 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.9408 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.4894 2023/02/02 07:37:32 - mmengine - INFO - Epoch(train) [172][ 560/1879] lr: 3.1819e-02 eta: 22:35:07 time: 0.5061 data_time: 0.0311 memory: 18108 grad_norm: 4.3393 loss: 3.4938 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0536 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.4401 2023/02/02 07:37:43 - mmengine - INFO - Epoch(train) [172][ 580/1879] lr: 3.1812e-02 eta: 22:34:57 time: 0.5212 data_time: 0.0368 memory: 18108 grad_norm: 4.2456 loss: 3.4392 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0171 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.4221 2023/02/02 07:37:53 - mmengine - INFO - Epoch(train) [172][ 600/1879] lr: 3.1805e-02 eta: 22:34:46 time: 0.4957 data_time: 0.0310 memory: 18108 grad_norm: 4.1743 loss: 3.3539 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8903 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.4636 2023/02/02 07:38:03 - mmengine - INFO - Epoch(train) [172][ 620/1879] lr: 3.1798e-02 eta: 22:34:36 time: 0.5121 data_time: 0.0363 memory: 18108 grad_norm: 4.1136 loss: 3.5092 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0713 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.4379 2023/02/02 07:38:13 - mmengine - INFO - Epoch(train) [172][ 640/1879] lr: 3.1791e-02 eta: 22:34:26 time: 0.4938 data_time: 0.0305 memory: 18108 grad_norm: 4.1305 loss: 3.5017 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0771 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.4246 2023/02/02 07:38:24 - mmengine - INFO - Epoch(train) [172][ 660/1879] lr: 3.1784e-02 eta: 22:34:16 time: 0.5355 data_time: 0.0439 memory: 18108 grad_norm: 4.1554 loss: 3.5349 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0257 top1_acc_1: 0.6588 top5_acc_1: 0.7882 loss_cls_1: 1.5092 2023/02/02 07:38:34 - mmengine - INFO - Epoch(train) [172][ 680/1879] lr: 3.1777e-02 eta: 22:34:06 time: 0.5066 data_time: 0.0283 memory: 18108 grad_norm: 4.1598 loss: 3.6644 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2873 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.3772 2023/02/02 07:38:40 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 07:38:44 - mmengine - INFO - Epoch(train) [172][ 700/1879] lr: 3.1770e-02 eta: 22:33:55 time: 0.5111 data_time: 0.0387 memory: 18108 grad_norm: 4.3029 loss: 3.8527 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.3557 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.4970 2023/02/02 07:38:54 - mmengine - INFO - Epoch(train) [172][ 720/1879] lr: 3.1763e-02 eta: 22:33:45 time: 0.4999 data_time: 0.0332 memory: 18108 grad_norm: 4.1946 loss: 3.5214 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.1110 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.4103 2023/02/02 07:39:05 - mmengine - INFO - Epoch(train) [172][ 740/1879] lr: 3.1756e-02 eta: 22:33:35 time: 0.5218 data_time: 0.0456 memory: 18108 grad_norm: 4.2447 loss: 3.5030 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0438 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.4592 2023/02/02 07:39:15 - mmengine - INFO - Epoch(train) [172][ 760/1879] lr: 3.1749e-02 eta: 22:33:25 time: 0.5045 data_time: 0.0315 memory: 18108 grad_norm: 4.2309 loss: 3.5123 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9927 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.5196 2023/02/02 07:39:25 - mmengine - INFO - Epoch(train) [172][ 780/1879] lr: 3.1742e-02 eta: 22:33:14 time: 0.5068 data_time: 0.0374 memory: 18108 grad_norm: 4.1793 loss: 3.9001 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.4451 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.4550 2023/02/02 07:39:35 - mmengine - INFO - Epoch(train) [172][ 800/1879] lr: 3.1735e-02 eta: 22:33:04 time: 0.5015 data_time: 0.0296 memory: 18108 grad_norm: 4.2166 loss: 3.5848 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.1237 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.4611 2023/02/02 07:39:45 - mmengine - INFO - Epoch(train) [172][ 820/1879] lr: 3.1728e-02 eta: 22:32:54 time: 0.5093 data_time: 0.0455 memory: 18108 grad_norm: 4.2082 loss: 3.5027 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9331 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.5696 2023/02/02 07:39:55 - mmengine - INFO - Epoch(train) [172][ 840/1879] lr: 3.1721e-02 eta: 22:32:44 time: 0.5037 data_time: 0.0305 memory: 18108 grad_norm: 4.3078 loss: 3.6022 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0552 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.5470 2023/02/02 07:40:05 - mmengine - INFO - Epoch(train) [172][ 860/1879] lr: 3.1714e-02 eta: 22:32:33 time: 0.5040 data_time: 0.0399 memory: 18108 grad_norm: 4.2504 loss: 3.4945 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0690 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.4255 2023/02/02 07:40:15 - mmengine - INFO - Epoch(train) [172][ 880/1879] lr: 3.1707e-02 eta: 22:32:23 time: 0.5040 data_time: 0.0383 memory: 18108 grad_norm: 4.2208 loss: 3.5902 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1040 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.4863 2023/02/02 07:40:26 - mmengine - INFO - Epoch(train) [172][ 900/1879] lr: 3.1700e-02 eta: 22:32:13 time: 0.5150 data_time: 0.0378 memory: 18108 grad_norm: 4.2648 loss: 3.2883 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8558 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.4325 2023/02/02 07:40:36 - mmengine - INFO - Epoch(train) [172][ 920/1879] lr: 3.1693e-02 eta: 22:32:03 time: 0.4933 data_time: 0.0285 memory: 18108 grad_norm: 4.2268 loss: 3.4746 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9963 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.4783 2023/02/02 07:40:46 - mmengine - INFO - Epoch(train) [172][ 940/1879] lr: 3.1686e-02 eta: 22:31:52 time: 0.5152 data_time: 0.0373 memory: 18108 grad_norm: 4.1412 loss: 3.4299 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.0195 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.4103 2023/02/02 07:40:56 - mmengine - INFO - Epoch(train) [172][ 960/1879] lr: 3.1679e-02 eta: 22:31:42 time: 0.5039 data_time: 0.0323 memory: 18108 grad_norm: 4.2101 loss: 3.5807 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.1900 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.3907 2023/02/02 07:41:06 - mmengine - INFO - Epoch(train) [172][ 980/1879] lr: 3.1672e-02 eta: 22:31:32 time: 0.5203 data_time: 0.0377 memory: 18108 grad_norm: 4.2782 loss: 3.5826 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0988 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.4837 2023/02/02 07:41:16 - mmengine - INFO - Epoch(train) [172][1000/1879] lr: 3.1665e-02 eta: 22:31:22 time: 0.5028 data_time: 0.0295 memory: 18108 grad_norm: 4.1190 loss: 3.5016 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0117 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.4899 2023/02/02 07:41:27 - mmengine - INFO - Epoch(train) [172][1020/1879] lr: 3.1658e-02 eta: 22:31:11 time: 0.5072 data_time: 0.0456 memory: 18108 grad_norm: 4.1244 loss: 3.7469 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2220 top1_acc_1: 0.4941 top5_acc_1: 0.7294 loss_cls_1: 1.5250 2023/02/02 07:41:37 - mmengine - INFO - Epoch(train) [172][1040/1879] lr: 3.1651e-02 eta: 22:31:01 time: 0.5160 data_time: 0.0297 memory: 18108 grad_norm: 4.1274 loss: 3.4814 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 1.9715 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.5100 2023/02/02 07:41:47 - mmengine - INFO - Epoch(train) [172][1060/1879] lr: 3.1644e-02 eta: 22:30:51 time: 0.5052 data_time: 0.0391 memory: 18108 grad_norm: 4.2189 loss: 3.6608 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.2531 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.4077 2023/02/02 07:41:57 - mmengine - INFO - Epoch(train) [172][1080/1879] lr: 3.1637e-02 eta: 22:30:41 time: 0.5015 data_time: 0.0299 memory: 18108 grad_norm: 4.1647 loss: 3.5608 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0415 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5193 2023/02/02 07:42:08 - mmengine - INFO - Epoch(train) [172][1100/1879] lr: 3.1630e-02 eta: 22:30:30 time: 0.5185 data_time: 0.0388 memory: 18108 grad_norm: 4.2644 loss: 3.5113 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0839 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.4275 2023/02/02 07:42:18 - mmengine - INFO - Epoch(train) [172][1120/1879] lr: 3.1623e-02 eta: 22:30:20 time: 0.4995 data_time: 0.0306 memory: 18108 grad_norm: 4.2879 loss: 3.6799 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.1844 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.4955 2023/02/02 07:42:28 - mmengine - INFO - Epoch(train) [172][1140/1879] lr: 3.1616e-02 eta: 22:30:10 time: 0.5042 data_time: 0.0429 memory: 18108 grad_norm: 4.1981 loss: 3.4753 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.9952 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.4801 2023/02/02 07:42:38 - mmengine - INFO - Epoch(train) [172][1160/1879] lr: 3.1609e-02 eta: 22:30:00 time: 0.5016 data_time: 0.0283 memory: 18108 grad_norm: 4.1936 loss: 3.5660 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0869 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4791 2023/02/02 07:42:48 - mmengine - INFO - Epoch(train) [172][1180/1879] lr: 3.1602e-02 eta: 22:29:49 time: 0.5121 data_time: 0.0376 memory: 18108 grad_norm: 4.1453 loss: 3.3974 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0381 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.3593 2023/02/02 07:42:58 - mmengine - INFO - Epoch(train) [172][1200/1879] lr: 3.1595e-02 eta: 22:29:39 time: 0.5055 data_time: 0.0297 memory: 18108 grad_norm: 4.2123 loss: 3.7395 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2239 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.5156 2023/02/02 07:43:08 - mmengine - INFO - Epoch(train) [172][1220/1879] lr: 3.1588e-02 eta: 22:29:29 time: 0.5104 data_time: 0.0463 memory: 18108 grad_norm: 4.1970 loss: 3.7460 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1935 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.5525 2023/02/02 07:43:18 - mmengine - INFO - Epoch(train) [172][1240/1879] lr: 3.1581e-02 eta: 22:29:19 time: 0.5001 data_time: 0.0294 memory: 18108 grad_norm: 4.2325 loss: 3.4668 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.1045 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.3623 2023/02/02 07:43:29 - mmengine - INFO - Epoch(train) [172][1260/1879] lr: 3.1574e-02 eta: 22:29:08 time: 0.5168 data_time: 0.0375 memory: 18108 grad_norm: 4.2081 loss: 3.4199 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9585 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.4614 2023/02/02 07:43:39 - mmengine - INFO - Epoch(train) [172][1280/1879] lr: 3.1567e-02 eta: 22:28:58 time: 0.5024 data_time: 0.0301 memory: 18108 grad_norm: 4.1778 loss: 3.6654 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.2207 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.4448 2023/02/02 07:43:49 - mmengine - INFO - Epoch(train) [172][1300/1879] lr: 3.1560e-02 eta: 22:28:48 time: 0.5130 data_time: 0.0450 memory: 18108 grad_norm: 4.3390 loss: 3.4987 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.0597 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.4390 2023/02/02 07:43:59 - mmengine - INFO - Epoch(train) [172][1320/1879] lr: 3.1553e-02 eta: 22:28:38 time: 0.4969 data_time: 0.0310 memory: 18108 grad_norm: 4.1526 loss: 3.6303 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0494 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.5809 2023/02/02 07:44:09 - mmengine - INFO - Epoch(train) [172][1340/1879] lr: 3.1546e-02 eta: 22:28:27 time: 0.5152 data_time: 0.0357 memory: 18108 grad_norm: 4.2208 loss: 3.5762 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0967 top1_acc_1: 0.7059 top5_acc_1: 0.9412 loss_cls_1: 1.4795 2023/02/02 07:44:20 - mmengine - INFO - Epoch(train) [172][1360/1879] lr: 3.1539e-02 eta: 22:28:17 time: 0.5092 data_time: 0.0374 memory: 18108 grad_norm: 4.2874 loss: 3.4470 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.9522 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.4949 2023/02/02 07:44:29 - mmengine - INFO - Epoch(train) [172][1380/1879] lr: 3.1532e-02 eta: 22:28:07 time: 0.4969 data_time: 0.0364 memory: 18108 grad_norm: 4.2050 loss: 3.6302 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.2505 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.3798 2023/02/02 07:44:40 - mmengine - INFO - Epoch(train) [172][1400/1879] lr: 3.1525e-02 eta: 22:27:57 time: 0.5052 data_time: 0.0290 memory: 18108 grad_norm: 4.1813 loss: 3.5774 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.0644 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.5131 2023/02/02 07:44:50 - mmengine - INFO - Epoch(train) [172][1420/1879] lr: 3.1518e-02 eta: 22:27:46 time: 0.5129 data_time: 0.0361 memory: 18108 grad_norm: 4.2069 loss: 3.7140 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.2321 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.4818 2023/02/02 07:45:00 - mmengine - INFO - Epoch(train) [172][1440/1879] lr: 3.1511e-02 eta: 22:27:36 time: 0.5012 data_time: 0.0384 memory: 18108 grad_norm: 4.2785 loss: 3.5717 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9779 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.5938 2023/02/02 07:45:10 - mmengine - INFO - Epoch(train) [172][1460/1879] lr: 3.1504e-02 eta: 22:27:26 time: 0.4931 data_time: 0.0375 memory: 18108 grad_norm: 4.2378 loss: 3.6741 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2155 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.4586 2023/02/02 07:45:20 - mmengine - INFO - Epoch(train) [172][1480/1879] lr: 3.1497e-02 eta: 22:27:15 time: 0.5036 data_time: 0.0317 memory: 18108 grad_norm: 4.1953 loss: 3.4751 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.9550 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5201 2023/02/02 07:45:30 - mmengine - INFO - Epoch(train) [172][1500/1879] lr: 3.1490e-02 eta: 22:27:05 time: 0.5051 data_time: 0.0382 memory: 18108 grad_norm: 4.1540 loss: 3.4832 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.0398 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.4435 2023/02/02 07:45:40 - mmengine - INFO - Epoch(train) [172][1520/1879] lr: 3.1483e-02 eta: 22:26:55 time: 0.5016 data_time: 0.0377 memory: 18108 grad_norm: 4.2242 loss: 3.5490 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.0537 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.4953 2023/02/02 07:45:50 - mmengine - INFO - Epoch(train) [172][1540/1879] lr: 3.1476e-02 eta: 22:26:44 time: 0.4995 data_time: 0.0346 memory: 18108 grad_norm: 4.1971 loss: 3.6431 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.1315 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.5116 2023/02/02 07:46:00 - mmengine - INFO - Epoch(train) [172][1560/1879] lr: 3.1469e-02 eta: 22:26:34 time: 0.5113 data_time: 0.0317 memory: 18108 grad_norm: 4.2201 loss: 3.6950 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2275 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.4675 2023/02/02 07:46:10 - mmengine - INFO - Epoch(train) [172][1580/1879] lr: 3.1462e-02 eta: 22:26:24 time: 0.5050 data_time: 0.0459 memory: 18108 grad_norm: 4.1979 loss: 3.7231 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1868 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.5363 2023/02/02 07:46:20 - mmengine - INFO - Epoch(train) [172][1600/1879] lr: 3.1455e-02 eta: 22:26:14 time: 0.4950 data_time: 0.0316 memory: 18108 grad_norm: 4.2887 loss: 3.6455 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2079 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.4377 2023/02/02 07:46:30 - mmengine - INFO - Epoch(train) [172][1620/1879] lr: 3.1448e-02 eta: 22:26:03 time: 0.4988 data_time: 0.0389 memory: 18108 grad_norm: 4.2774 loss: 3.6842 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1753 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.5090 2023/02/02 07:46:41 - mmengine - INFO - Epoch(train) [172][1640/1879] lr: 3.1441e-02 eta: 22:25:53 time: 0.5170 data_time: 0.0314 memory: 18108 grad_norm: 4.1222 loss: 3.6853 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.1587 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.5265 2023/02/02 07:46:51 - mmengine - INFO - Epoch(train) [172][1660/1879] lr: 3.1434e-02 eta: 22:25:43 time: 0.5012 data_time: 0.0452 memory: 18108 grad_norm: 4.1963 loss: 3.4837 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9502 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5335 2023/02/02 07:47:01 - mmengine - INFO - Epoch(train) [172][1680/1879] lr: 3.1427e-02 eta: 22:25:32 time: 0.4936 data_time: 0.0312 memory: 18108 grad_norm: 4.1988 loss: 3.4565 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9560 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5005 2023/02/02 07:47:06 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 07:47:11 - mmengine - INFO - Epoch(train) [172][1700/1879] lr: 3.1420e-02 eta: 22:25:22 time: 0.5067 data_time: 0.0353 memory: 18108 grad_norm: 4.1552 loss: 3.3926 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9841 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.4085 2023/02/02 07:47:21 - mmengine - INFO - Epoch(train) [172][1720/1879] lr: 3.1413e-02 eta: 22:25:12 time: 0.5101 data_time: 0.0316 memory: 18108 grad_norm: 4.2611 loss: 3.7234 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2502 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.4732 2023/02/02 07:47:31 - mmengine - INFO - Epoch(train) [172][1740/1879] lr: 3.1406e-02 eta: 22:25:02 time: 0.5103 data_time: 0.0499 memory: 18108 grad_norm: 4.2535 loss: 3.3921 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.9196 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.4725 2023/02/02 07:47:41 - mmengine - INFO - Epoch(train) [172][1760/1879] lr: 3.1399e-02 eta: 22:24:51 time: 0.4911 data_time: 0.0322 memory: 18108 grad_norm: 4.2970 loss: 3.5542 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.1027 top1_acc_1: 0.6118 top5_acc_1: 0.8941 loss_cls_1: 1.4516 2023/02/02 07:47:51 - mmengine - INFO - Epoch(train) [172][1780/1879] lr: 3.1392e-02 eta: 22:24:41 time: 0.5100 data_time: 0.0388 memory: 18108 grad_norm: 4.1210 loss: 3.3800 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.0089 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.3711 2023/02/02 07:48:02 - mmengine - INFO - Epoch(train) [172][1800/1879] lr: 3.1385e-02 eta: 22:24:31 time: 0.5104 data_time: 0.0363 memory: 18108 grad_norm: 4.1607 loss: 3.6010 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1100 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.4910 2023/02/02 07:48:12 - mmengine - INFO - Epoch(train) [172][1820/1879] lr: 3.1378e-02 eta: 22:24:20 time: 0.4998 data_time: 0.0370 memory: 18108 grad_norm: 4.2495 loss: 3.4298 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9876 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.4422 2023/02/02 07:48:22 - mmengine - INFO - Epoch(train) [172][1840/1879] lr: 3.1371e-02 eta: 22:24:10 time: 0.5113 data_time: 0.0290 memory: 18108 grad_norm: 4.1754 loss: 3.4989 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.9942 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.5047 2023/02/02 07:48:32 - mmengine - INFO - Epoch(train) [172][1860/1879] lr: 3.1364e-02 eta: 22:24:00 time: 0.5036 data_time: 0.0366 memory: 18108 grad_norm: 4.2583 loss: 3.5741 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0646 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.5095 2023/02/02 07:48:41 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230131_090102 2023/02/02 07:48:41 - mmengine - INFO - Epoch(train) [172][1879/1879] lr: 3.1358e-02 eta: 22:23:50 time: 0.4985 data_time: 0.0296 memory: 18108 grad_norm: 4.3002 loss: 3.5334 top1_acc_0: 0.5714 top5_acc_0: 0.8571 loss_cls_0: 2.0403 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.4931 2023/02/02 07:48:42 - mmengine - INFO - Saving checkpoint at 172 epochs 2023/02/02 07:48:53 - mmengine - INFO - Epoch(val) [172][ 20/155] eta: 0:01:01 time: 0.4576 data_time: 0.3456 memory: 1906 2023/02/02 07:49:02 - mmengine - INFO - Epoch(val) [172][ 40/155] eta: 0:00:51 time: 0.4434 data_time: 0.3323 memory: 1906 2023/02/02 07:49:10 - mmengine - INFO - Epoch(val) [172][ 60/155] eta: 0:00:41 time: 0.4206 data_time: 0.3097 memory: 1906 2023/02/02 07:49:19 - mmengine - INFO - Epoch(val) [172][ 80/155] eta: 0:00:33 time: 0.4607 data_time: 0.3499 memory: 1906 2023/02/02 07:49:28 - mmengine - INFO - Epoch(val) [172][100/155] eta: 0:00:24 time: 0.4445 data_time: 0.3327 memory: 1906 2023/02/02 07:49:37 - mmengine - INFO - Epoch(val) [172][120/155] eta: 0:00:15 time: 0.4598 data_time: 0.3486 memory: 1906 2023/02/02 07:49:46 - mmengine - INFO - Epoch(val) [172][140/155] eta: 0:00:06 time: 0.4330 data_time: 0.3226 memory: 1906 2023/02/02 07:49:54 - mmengine - INFO - Epoch(val) [172][155/155] acc/top1: 0.5626 acc/top5: 0.8015 acc/mean1: 0.5623 2023/02/02 07:49:54 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_160.pth is removed 2023/02/02 07:49:55 - mmengine - INFO - The best checkpoint with 0.5626 acc/top1 at 172 epoch is saved to best_acc/top1_epoch_172.pth. 2023/02/02 12:45:28 - mmengine - INFO - Epoch(train) [173][ 20/1879] lr: 3.1351e-02 eta: 1 day, 10:09:20 time: 0.7791 data_time: 0.3121 memory: 18104 grad_norm: 4.2048 loss: 3.5482 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0891 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.4591 2023/02/02 12:45:37 - mmengine - INFO - Epoch(train) [173][ 40/1879] lr: 3.1344e-02 eta: 1 day, 3:30:10 time: 0.4758 data_time: 0.0330 memory: 18104 grad_norm: 4.1687 loss: 3.3333 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9800 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.3533 2023/02/02 12:45:48 - mmengine - INFO - Epoch(train) [173][ 60/1879] lr: 3.1337e-02 eta: 1 day, 1:44:10 time: 0.5068 data_time: 0.0381 memory: 18104 grad_norm: 4.2241 loss: 3.5758 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1706 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.4051 2023/02/02 12:45:58 - mmengine - INFO - Epoch(train) [173][ 80/1879] lr: 3.1330e-02 eta: 1 day, 0:50:30 time: 0.5059 data_time: 0.0328 memory: 18104 grad_norm: 4.1611 loss: 3.5721 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1470 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.4251 2023/02/02 12:46:07 - mmengine - INFO - Epoch(train) [173][ 100/1879] lr: 3.1323e-02 eta: 1 day, 0:06:26 time: 0.4834 data_time: 0.0378 memory: 18104 grad_norm: 4.1702 loss: 3.4575 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.9847 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.4728 2023/02/02 12:46:17 - mmengine - INFO - Epoch(train) [173][ 120/1879] lr: 3.1316e-02 eta: 23:33:40 time: 0.4758 data_time: 0.0329 memory: 18104 grad_norm: 4.2398 loss: 3.4350 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9754 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.4596 2023/02/02 12:46:27 - mmengine - INFO - Epoch(train) [173][ 140/1879] lr: 3.1309e-02 eta: 23:25:32 time: 0.5166 data_time: 0.0432 memory: 18104 grad_norm: 4.2241 loss: 3.5255 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0593 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.4662 2023/02/02 12:46:37 - mmengine - INFO - Epoch(train) [173][ 160/1879] lr: 3.1302e-02 eta: 23:09:13 time: 0.4857 data_time: 0.0321 memory: 18104 grad_norm: 4.2294 loss: 3.5639 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.0300 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.5339 2023/02/02 12:46:47 - mmengine - INFO - Epoch(train) [173][ 180/1879] lr: 3.1295e-02 eta: 22:56:11 time: 0.4846 data_time: 0.0395 memory: 18104 grad_norm: 4.2874 loss: 3.3312 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8507 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.4805 2023/02/02 12:46:57 - mmengine - INFO - Epoch(train) [173][ 200/1879] lr: 3.1288e-02 eta: 22:49:17 time: 0.4981 data_time: 0.0314 memory: 18104 grad_norm: 4.2413 loss: 3.5220 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1024 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.4196 2023/02/02 12:47:07 - mmengine - INFO - Epoch(train) [173][ 220/1879] lr: 3.1281e-02 eta: 22:45:29 time: 0.5060 data_time: 0.0376 memory: 18104 grad_norm: 4.2287 loss: 3.4063 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.9304 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.4759 2023/02/02 12:47:16 - mmengine - INFO - Epoch(train) [173][ 240/1879] lr: 3.1274e-02 eta: 22:36:58 time: 0.4817 data_time: 0.0337 memory: 18104 grad_norm: 4.1904 loss: 3.2525 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9326 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.3199 2023/02/02 12:47:27 - mmengine - INFO - Epoch(train) [173][ 260/1879] lr: 3.1267e-02 eta: 22:35:09 time: 0.5084 data_time: 0.0373 memory: 18104 grad_norm: 4.2392 loss: 3.5566 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.1529 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.4037 2023/02/02 12:47:36 - mmengine - INFO - Epoch(train) [173][ 280/1879] lr: 3.1260e-02 eta: 22:29:47 time: 0.4883 data_time: 0.0331 memory: 18104 grad_norm: 4.2386 loss: 3.5205 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.1485 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.3720 2023/02/02 12:47:47 - mmengine - INFO - Epoch(train) [173][ 300/1879] lr: 3.1253e-02 eta: 22:28:31 time: 0.5078 data_time: 0.0392 memory: 18104 grad_norm: 4.2034 loss: 3.5831 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1097 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.4735 2023/02/02 12:47:56 - mmengine - INFO - Epoch(train) [173][ 320/1879] lr: 3.1246e-02 eta: 22:21:59 time: 0.4749 data_time: 0.0320 memory: 18104 grad_norm: 4.2177 loss: 3.5345 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1245 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.4100 2023/02/02 12:48:06 - mmengine - INFO - Epoch(train) [173][ 340/1879] lr: 3.1239e-02 eta: 22:21:55 time: 0.5119 data_time: 0.0432 memory: 18104 grad_norm: 4.2242 loss: 3.6317 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2871 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.3446 2023/02/02 12:48:16 - mmengine - INFO - Epoch(train) [173][ 360/1879] lr: 3.1232e-02 eta: 22:19:26 time: 0.4954 data_time: 0.0335 memory: 18104 grad_norm: 4.3465 loss: 3.5230 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.0478 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.4752 2023/02/02 12:48:26 - mmengine - INFO - Epoch(train) [173][ 380/1879] lr: 3.1225e-02 eta: 22:17:03 time: 0.4943 data_time: 0.0414 memory: 18104 grad_norm: 4.1250 loss: 3.1429 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7643 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.3786 2023/02/02 12:48:36 - mmengine - INFO - Epoch(train) [173][ 400/1879] lr: 3.1218e-02 eta: 22:14:58 time: 0.4949 data_time: 0.0376 memory: 18104 grad_norm: 4.1559 loss: 3.4239 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9238 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.5001 2023/02/02 12:48:46 - mmengine - INFO - Epoch(train) [173][ 420/1879] lr: 3.1211e-02 eta: 22:15:05 time: 0.5111 data_time: 0.0378 memory: 18104 grad_norm: 4.2867 loss: 3.7538 top1_acc_0: 0.1250 top5_acc_0: 0.6250 loss_cls_0: 2.2683 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.4855 2023/02/02 12:48:56 - mmengine - INFO - Epoch(train) [173][ 440/1879] lr: 3.1204e-02 eta: 22:11:31 time: 0.4804 data_time: 0.0317 memory: 18104 grad_norm: 4.2977 loss: 3.2360 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 1.8295 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.4065 2023/02/02 12:49:06 - mmengine - INFO - Epoch(train) [173][ 460/1879] lr: 3.1197e-02 eta: 22:12:26 time: 0.5171 data_time: 0.0463 memory: 18104 grad_norm: 4.3527 loss: 3.7386 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.2353 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.5033 2023/02/02 12:49:16 - mmengine - INFO - Epoch(train) [173][ 480/1879] lr: 3.1190e-02 eta: 22:11:10 time: 0.4980 data_time: 0.0332 memory: 18104 grad_norm: 4.2310 loss: 3.4337 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.0297 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.4040 2023/02/02 12:49:26 - mmengine - INFO - Epoch(train) [173][ 500/1879] lr: 3.1183e-02 eta: 22:10:35 time: 0.5036 data_time: 0.0373 memory: 18104 grad_norm: 4.2791 loss: 3.5300 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0555 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.4745 2023/02/02 12:49:36 - mmengine - INFO - Epoch(train) [173][ 520/1879] lr: 3.1176e-02 eta: 22:08:47 time: 0.4911 data_time: 0.0417 memory: 18104 grad_norm: 4.3039 loss: 3.6912 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2298 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4614 2023/02/02 12:49:46 - mmengine - INFO - Epoch(train) [173][ 540/1879] lr: 3.1169e-02 eta: 22:08:39 time: 0.5072 data_time: 0.0368 memory: 18104 grad_norm: 4.2726 loss: 3.5868 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0938 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.4930 2023/02/02 12:49:56 - mmengine - INFO - Epoch(train) [173][ 560/1879] lr: 3.1162e-02 eta: 22:06:24 time: 0.4846 data_time: 0.0342 memory: 18104 grad_norm: 4.2203 loss: 3.3675 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9017 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.4658 2023/02/02 12:50:06 - mmengine - INFO - Epoch(train) [173][ 580/1879] lr: 3.1155e-02 eta: 22:06:27 time: 0.5084 data_time: 0.0348 memory: 18104 grad_norm: 4.2495 loss: 3.4718 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0124 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.4594 2023/02/02 12:50:16 - mmengine - INFO - Epoch(train) [173][ 600/1879] lr: 3.1148e-02 eta: 22:06:06 time: 0.5041 data_time: 0.0364 memory: 18104 grad_norm: 4.1651 loss: 3.3340 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8921 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.4418 2023/02/02 12:50:27 - mmengine - INFO - Epoch(train) [173][ 620/1879] lr: 3.1141e-02 eta: 22:06:06 time: 0.5081 data_time: 0.0366 memory: 18104 grad_norm: 4.2362 loss: 3.4146 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.9336 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.4810 2023/02/02 12:50:37 - mmengine - INFO - Epoch(train) [173][ 640/1879] lr: 3.1134e-02 eta: 22:05:20 time: 0.4987 data_time: 0.0341 memory: 18104 grad_norm: 4.2593 loss: 3.6903 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1712 top1_acc_1: 0.7294 top5_acc_1: 0.8353 loss_cls_1: 1.5191 2023/02/02 12:50:47 - mmengine - INFO - Epoch(train) [173][ 660/1879] lr: 3.1127e-02 eta: 22:04:29 time: 0.4972 data_time: 0.0417 memory: 18104 grad_norm: 4.1361 loss: 3.6586 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1984 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.4602 2023/02/02 12:50:56 - mmengine - INFO - Epoch(train) [173][ 680/1879] lr: 3.1120e-02 eta: 22:03:18 time: 0.4925 data_time: 0.0349 memory: 18104 grad_norm: 4.1887 loss: 3.4855 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0538 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.4317 2023/02/02 12:51:07 - mmengine - INFO - Epoch(train) [173][ 700/1879] lr: 3.1113e-02 eta: 22:02:56 time: 0.5026 data_time: 0.0347 memory: 18104 grad_norm: 4.2358 loss: 3.4183 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 1.9721 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.4462 2023/02/02 12:51:17 - mmengine - INFO - Epoch(train) [173][ 720/1879] lr: 3.1106e-02 eta: 22:02:38 time: 0.5033 data_time: 0.0420 memory: 18104 grad_norm: 4.2446 loss: 3.3154 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.7936 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.5218 2023/02/02 12:51:27 - mmengine - INFO - Epoch(train) [173][ 740/1879] lr: 3.1099e-02 eta: 22:03:08 time: 0.5146 data_time: 0.0374 memory: 18104 grad_norm: 4.3402 loss: 3.7647 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.2298 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.5349 2023/02/02 12:51:37 - mmengine - INFO - Epoch(train) [173][ 760/1879] lr: 3.1092e-02 eta: 22:01:53 time: 0.4897 data_time: 0.0351 memory: 18104 grad_norm: 4.2323 loss: 3.6052 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1708 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.4344 2023/02/02 12:51:47 - mmengine - INFO - Epoch(train) [173][ 780/1879] lr: 3.1085e-02 eta: 22:01:39 time: 0.5040 data_time: 0.0423 memory: 18104 grad_norm: 4.3117 loss: 3.3978 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9873 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.4105 2023/02/02 12:51:57 - mmengine - INFO - Epoch(train) [173][ 800/1879] lr: 3.1078e-02 eta: 22:01:24 time: 0.5035 data_time: 0.0341 memory: 18104 grad_norm: 4.3361 loss: 3.5397 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1111 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4286 2023/02/02 12:52:03 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 12:52:07 - mmengine - INFO - Epoch(train) [173][ 820/1879] lr: 3.1071e-02 eta: 22:01:03 time: 0.5021 data_time: 0.0365 memory: 18104 grad_norm: 4.3876 loss: 3.5765 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.2228 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.3537 2023/02/02 12:52:17 - mmengine - INFO - Epoch(train) [173][ 840/1879] lr: 3.1064e-02 eta: 22:00:09 time: 0.4930 data_time: 0.0353 memory: 18104 grad_norm: 4.2570 loss: 3.3589 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.9454 top1_acc_1: 0.6118 top5_acc_1: 0.9059 loss_cls_1: 1.4135 2023/02/02 12:52:27 - mmengine - INFO - Epoch(train) [173][ 860/1879] lr: 3.1057e-02 eta: 22:00:54 time: 0.5196 data_time: 0.0436 memory: 18104 grad_norm: 4.3572 loss: 3.5530 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0549 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.4981 2023/02/02 12:52:37 - mmengine - INFO - Epoch(train) [173][ 880/1879] lr: 3.1050e-02 eta: 22:00:15 time: 0.4970 data_time: 0.0365 memory: 18104 grad_norm: 4.2626 loss: 3.4735 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0520 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 1.4215 2023/02/02 12:52:47 - mmengine - INFO - Epoch(train) [173][ 900/1879] lr: 3.1043e-02 eta: 22:00:13 time: 0.5069 data_time: 0.0373 memory: 18104 grad_norm: 4.3612 loss: 3.6232 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.0935 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.5297 2023/02/02 12:52:58 - mmengine - INFO - Epoch(train) [173][ 920/1879] lr: 3.1037e-02 eta: 21:59:51 time: 0.5012 data_time: 0.0366 memory: 18104 grad_norm: 4.2788 loss: 3.6751 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.2351 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.4400 2023/02/02 12:53:08 - mmengine - INFO - Epoch(train) [173][ 940/1879] lr: 3.1030e-02 eta: 21:59:21 time: 0.4989 data_time: 0.0350 memory: 18104 grad_norm: 4.2829 loss: 3.4474 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9609 top1_acc_1: 0.6471 top5_acc_1: 0.9294 loss_cls_1: 1.4865 2023/02/02 12:53:18 - mmengine - INFO - Epoch(train) [173][ 960/1879] lr: 3.1023e-02 eta: 21:59:04 time: 0.5024 data_time: 0.0361 memory: 18104 grad_norm: 4.2015 loss: 3.5533 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1464 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.4069 2023/02/02 12:53:28 - mmengine - INFO - Epoch(train) [173][ 980/1879] lr: 3.1016e-02 eta: 21:58:38 time: 0.4994 data_time: 0.0405 memory: 18104 grad_norm: 4.2113 loss: 3.6216 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.0645 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.5571 2023/02/02 12:53:37 - mmengine - INFO - Epoch(train) [173][1000/1879] lr: 3.1009e-02 eta: 21:57:46 time: 0.4911 data_time: 0.0366 memory: 18104 grad_norm: 4.2198 loss: 3.6217 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1802 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.4415 2023/02/02 12:53:48 - mmengine - INFO - Epoch(train) [173][1020/1879] lr: 3.1002e-02 eta: 21:57:53 time: 0.5098 data_time: 0.0333 memory: 18104 grad_norm: 4.2626 loss: 3.6715 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1864 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.4851 2023/02/02 12:53:58 - mmengine - INFO - Epoch(train) [173][1040/1879] lr: 3.0995e-02 eta: 21:57:05 time: 0.4916 data_time: 0.0378 memory: 18104 grad_norm: 4.1858 loss: 3.4069 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9826 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.4243 2023/02/02 12:54:08 - mmengine - INFO - Epoch(train) [173][1060/1879] lr: 3.0988e-02 eta: 21:56:58 time: 0.5049 data_time: 0.0403 memory: 18104 grad_norm: 4.1898 loss: 3.6446 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0897 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.5549 2023/02/02 12:54:18 - mmengine - INFO - Epoch(train) [173][1080/1879] lr: 3.0981e-02 eta: 21:57:26 time: 0.5172 data_time: 0.0366 memory: 18104 grad_norm: 4.2201 loss: 3.5040 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0519 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.4521 2023/02/02 12:54:28 - mmengine - INFO - Epoch(train) [173][1100/1879] lr: 3.0974e-02 eta: 21:57:35 time: 0.5112 data_time: 0.0321 memory: 18104 grad_norm: 4.3265 loss: 3.5027 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1278 top1_acc_1: 0.7529 top5_acc_1: 0.8588 loss_cls_1: 1.3749 2023/02/02 12:54:38 - mmengine - INFO - Epoch(train) [173][1120/1879] lr: 3.0967e-02 eta: 21:57:44 time: 0.5110 data_time: 0.0435 memory: 18104 grad_norm: 4.3077 loss: 3.5983 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1145 top1_acc_1: 0.6000 top5_acc_1: 0.9059 loss_cls_1: 1.4838 2023/02/02 12:54:49 - mmengine - INFO - Epoch(train) [173][1140/1879] lr: 3.0960e-02 eta: 21:57:43 time: 0.5077 data_time: 0.0320 memory: 18104 grad_norm: 4.2275 loss: 3.4593 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0453 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.4140 2023/02/02 12:54:59 - mmengine - INFO - Epoch(train) [173][1160/1879] lr: 3.0953e-02 eta: 21:57:39 time: 0.5069 data_time: 0.0345 memory: 18104 grad_norm: 4.2407 loss: 3.4714 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.0090 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.4623 2023/02/02 12:55:09 - mmengine - INFO - Epoch(train) [173][1180/1879] lr: 3.0946e-02 eta: 21:57:38 time: 0.5082 data_time: 0.0342 memory: 18104 grad_norm: 4.3130 loss: 3.3979 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.9590 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.4389 2023/02/02 12:55:19 - mmengine - INFO - Epoch(train) [173][1200/1879] lr: 3.0939e-02 eta: 21:57:02 time: 0.4948 data_time: 0.0426 memory: 18104 grad_norm: 4.2271 loss: 3.6924 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1906 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.5018 2023/02/02 12:55:29 - mmengine - INFO - Epoch(train) [173][1220/1879] lr: 3.0932e-02 eta: 21:57:40 time: 0.5229 data_time: 0.0354 memory: 18104 grad_norm: 4.3122 loss: 3.4429 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8997 top1_acc_1: 0.6000 top5_acc_1: 0.7882 loss_cls_1: 1.5432 2023/02/02 12:55:40 - mmengine - INFO - Epoch(train) [173][1240/1879] lr: 3.0925e-02 eta: 21:58:06 time: 0.5191 data_time: 0.0322 memory: 18104 grad_norm: 4.2622 loss: 3.5897 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1382 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.4515 2023/02/02 12:55:50 - mmengine - INFO - Epoch(train) [173][1260/1879] lr: 3.0918e-02 eta: 21:57:57 time: 0.5055 data_time: 0.0441 memory: 18104 grad_norm: 4.3619 loss: 3.6219 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0747 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.5472 2023/02/02 12:56:00 - mmengine - INFO - Epoch(train) [173][1280/1879] lr: 3.0911e-02 eta: 21:57:19 time: 0.4935 data_time: 0.0332 memory: 18104 grad_norm: 4.3306 loss: 3.4195 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.0218 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.3977 2023/02/02 12:56:10 - mmengine - INFO - Epoch(train) [173][1300/1879] lr: 3.0904e-02 eta: 21:57:47 time: 0.5210 data_time: 0.0389 memory: 18104 grad_norm: 4.2461 loss: 3.4684 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 1.9927 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.4757 2023/02/02 12:56:20 - mmengine - INFO - Epoch(train) [173][1320/1879] lr: 3.0897e-02 eta: 21:57:46 time: 0.5089 data_time: 0.0375 memory: 18104 grad_norm: 4.3066 loss: 3.7185 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2199 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.4986 2023/02/02 12:56:31 - mmengine - INFO - Epoch(train) [173][1340/1879] lr: 3.0890e-02 eta: 21:57:29 time: 0.5020 data_time: 0.0385 memory: 18104 grad_norm: 4.3189 loss: 3.5911 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0839 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.5072 2023/02/02 12:56:40 - mmengine - INFO - Epoch(train) [173][1360/1879] lr: 3.0883e-02 eta: 21:56:58 time: 0.4962 data_time: 0.0306 memory: 18104 grad_norm: 4.2185 loss: 3.3693 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9328 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.4365 2023/02/02 12:56:51 - mmengine - INFO - Epoch(train) [173][1380/1879] lr: 3.0876e-02 eta: 21:57:27 time: 0.5221 data_time: 0.0471 memory: 18104 grad_norm: 4.3217 loss: 3.5163 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0854 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.4309 2023/02/02 12:57:01 - mmengine - INFO - Epoch(train) [173][1400/1879] lr: 3.0869e-02 eta: 21:57:09 time: 0.5017 data_time: 0.0296 memory: 18104 grad_norm: 4.2566 loss: 3.5906 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1316 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.4591 2023/02/02 12:57:11 - mmengine - INFO - Epoch(train) [173][1420/1879] lr: 3.0862e-02 eta: 21:57:27 time: 0.5180 data_time: 0.0389 memory: 18104 grad_norm: 4.3088 loss: 3.6804 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1496 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5308 2023/02/02 12:57:22 - mmengine - INFO - Epoch(train) [173][1440/1879] lr: 3.0855e-02 eta: 21:57:26 time: 0.5098 data_time: 0.0308 memory: 18104 grad_norm: 4.2528 loss: 3.5516 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.1402 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.4114 2023/02/02 12:57:32 - mmengine - INFO - Epoch(train) [173][1460/1879] lr: 3.0849e-02 eta: 21:58:20 time: 0.5351 data_time: 0.0381 memory: 18104 grad_norm: 4.3219 loss: 3.6505 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.1921 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.4584 2023/02/02 12:57:42 - mmengine - INFO - Epoch(train) [173][1480/1879] lr: 3.0842e-02 eta: 21:57:58 time: 0.5001 data_time: 0.0300 memory: 18104 grad_norm: 4.2758 loss: 3.4212 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0349 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.3863 2023/02/02 12:57:53 - mmengine - INFO - Epoch(train) [173][1500/1879] lr: 3.0835e-02 eta: 21:58:20 time: 0.5213 data_time: 0.0412 memory: 18104 grad_norm: 4.2672 loss: 3.6012 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1247 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.4766 2023/02/02 12:58:03 - mmengine - INFO - Epoch(train) [173][1520/1879] lr: 3.0828e-02 eta: 21:58:48 time: 0.5247 data_time: 0.0376 memory: 18104 grad_norm: 4.2120 loss: 3.5725 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0797 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.4928 2023/02/02 12:58:14 - mmengine - INFO - Epoch(train) [173][1540/1879] lr: 3.0821e-02 eta: 21:58:51 time: 0.5123 data_time: 0.0387 memory: 18104 grad_norm: 4.2330 loss: 3.6751 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1673 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.5078 2023/02/02 12:58:24 - mmengine - INFO - Epoch(train) [173][1560/1879] lr: 3.0814e-02 eta: 21:58:47 time: 0.5097 data_time: 0.0327 memory: 18104 grad_norm: 4.3284 loss: 3.5754 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.0952 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4802 2023/02/02 12:58:34 - mmengine - INFO - Epoch(train) [173][1580/1879] lr: 3.0807e-02 eta: 21:59:12 time: 0.5237 data_time: 0.0374 memory: 18104 grad_norm: 4.1897 loss: 3.6348 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1839 top1_acc_1: 0.7294 top5_acc_1: 0.8235 loss_cls_1: 1.4509 2023/02/02 12:58:44 - mmengine - INFO - Epoch(train) [173][1600/1879] lr: 3.0800e-02 eta: 21:58:53 time: 0.5021 data_time: 0.0302 memory: 18104 grad_norm: 4.2997 loss: 3.6905 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1983 top1_acc_1: 0.7176 top5_acc_1: 0.8118 loss_cls_1: 1.4922 2023/02/02 12:58:55 - mmengine - INFO - Epoch(train) [173][1620/1879] lr: 3.0793e-02 eta: 21:58:56 time: 0.5133 data_time: 0.0389 memory: 18104 grad_norm: 4.2374 loss: 3.7242 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.2694 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.4548 2023/02/02 12:59:05 - mmengine - INFO - Epoch(train) [173][1640/1879] lr: 3.0786e-02 eta: 21:59:00 time: 0.5138 data_time: 0.0374 memory: 18104 grad_norm: 4.3520 loss: 3.4237 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9857 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4380 2023/02/02 12:59:15 - mmengine - INFO - Epoch(train) [173][1660/1879] lr: 3.0779e-02 eta: 21:59:25 time: 0.5254 data_time: 0.0375 memory: 18104 grad_norm: 4.2399 loss: 3.7114 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1552 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.5562 2023/02/02 12:59:26 - mmengine - INFO - Epoch(train) [173][1680/1879] lr: 3.0772e-02 eta: 21:59:07 time: 0.5030 data_time: 0.0294 memory: 18104 grad_norm: 4.2410 loss: 3.4397 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.9779 top1_acc_1: 0.4824 top5_acc_1: 0.7882 loss_cls_1: 1.4617 2023/02/02 12:59:36 - mmengine - INFO - Epoch(train) [173][1700/1879] lr: 3.0765e-02 eta: 21:59:30 time: 0.5247 data_time: 0.0401 memory: 18104 grad_norm: 4.3337 loss: 3.4239 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0678 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.3561 2023/02/02 12:59:46 - mmengine - INFO - Epoch(train) [173][1720/1879] lr: 3.0758e-02 eta: 21:59:38 time: 0.5172 data_time: 0.0306 memory: 18104 grad_norm: 4.3615 loss: 3.9297 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.4101 top1_acc_1: 0.5765 top5_acc_1: 0.7529 loss_cls_1: 1.5196 2023/02/02 12:59:57 - mmengine - INFO - Epoch(train) [173][1740/1879] lr: 3.0751e-02 eta: 21:59:44 time: 0.5158 data_time: 0.0401 memory: 18104 grad_norm: 4.2422 loss: 3.6692 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2246 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.4446 2023/02/02 13:00:07 - mmengine - INFO - Epoch(train) [173][1760/1879] lr: 3.0744e-02 eta: 21:59:28 time: 0.5042 data_time: 0.0333 memory: 18104 grad_norm: 4.3284 loss: 3.4509 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9917 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.4592 2023/02/02 13:00:18 - mmengine - INFO - Epoch(train) [173][1780/1879] lr: 3.0737e-02 eta: 22:00:25 time: 0.5455 data_time: 0.0460 memory: 18104 grad_norm: 4.2671 loss: 3.5126 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9798 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.5328 2023/02/02 13:00:28 - mmengine - INFO - Epoch(train) [173][1800/1879] lr: 3.0730e-02 eta: 22:00:06 time: 0.5025 data_time: 0.0332 memory: 18104 grad_norm: 4.3550 loss: 3.6183 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1600 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.4583 2023/02/02 13:00:34 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 13:00:38 - mmengine - INFO - Epoch(train) [173][1820/1879] lr: 3.0723e-02 eta: 22:00:10 time: 0.5160 data_time: 0.0387 memory: 18104 grad_norm: 4.1959 loss: 3.4785 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.9570 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.5215 2023/02/02 13:00:49 - mmengine - INFO - Epoch(train) [173][1840/1879] lr: 3.0716e-02 eta: 22:00:12 time: 0.5151 data_time: 0.0418 memory: 18104 grad_norm: 4.2435 loss: 3.4769 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9679 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.5090 2023/02/02 13:00:59 - mmengine - INFO - Epoch(train) [173][1860/1879] lr: 3.0709e-02 eta: 21:59:56 time: 0.5042 data_time: 0.0384 memory: 18104 grad_norm: 4.1931 loss: 3.5779 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.1729 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.4050 2023/02/02 13:01:08 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 13:01:08 - mmengine - INFO - Epoch(train) [173][1879/1879] lr: 3.0703e-02 eta: 21:58:53 time: 0.4735 data_time: 0.0321 memory: 18104 grad_norm: 4.4163 loss: 3.6940 top1_acc_0: 0.2857 top5_acc_0: 0.4286 loss_cls_0: 2.2082 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.4858 2023/02/02 13:01:23 - mmengine - INFO - Epoch(train) [174][ 20/1879] lr: 3.0696e-02 eta: 22:04:44 time: 0.7272 data_time: 0.2630 memory: 18104 grad_norm: 4.1432 loss: 3.3790 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.9924 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.3866 2023/02/02 13:01:32 - mmengine - INFO - Epoch(train) [174][ 40/1879] lr: 3.0689e-02 eta: 22:03:41 time: 0.4775 data_time: 0.0313 memory: 18104 grad_norm: 4.1580 loss: 3.2731 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8252 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.4479 2023/02/02 13:01:42 - mmengine - INFO - Epoch(train) [174][ 60/1879] lr: 3.0682e-02 eta: 22:03:10 time: 0.4962 data_time: 0.0386 memory: 18104 grad_norm: 4.2230 loss: 3.4830 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0228 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.4602 2023/02/02 13:01:53 - mmengine - INFO - Epoch(train) [174][ 80/1879] lr: 3.0675e-02 eta: 22:03:01 time: 0.5099 data_time: 0.0383 memory: 18104 grad_norm: 4.2401 loss: 3.2693 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8715 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.3978 2023/02/02 13:02:02 - mmengine - INFO - Epoch(train) [174][ 100/1879] lr: 3.0668e-02 eta: 22:02:17 time: 0.4877 data_time: 0.0397 memory: 18104 grad_norm: 4.3457 loss: 3.4415 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 2.0511 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.3904 2023/02/02 13:02:12 - mmengine - INFO - Epoch(train) [174][ 120/1879] lr: 3.0661e-02 eta: 22:01:43 time: 0.4942 data_time: 0.0317 memory: 18104 grad_norm: 4.2850 loss: 3.7202 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.2822 top1_acc_1: 0.6118 top5_acc_1: 0.7294 loss_cls_1: 1.4380 2023/02/02 13:02:23 - mmengine - INFO - Epoch(train) [174][ 140/1879] lr: 3.0654e-02 eta: 22:02:25 time: 0.5427 data_time: 0.0465 memory: 18104 grad_norm: 4.3023 loss: 3.3959 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0298 top1_acc_1: 0.7647 top5_acc_1: 0.8588 loss_cls_1: 1.3661 2023/02/02 13:02:33 - mmengine - INFO - Epoch(train) [174][ 160/1879] lr: 3.0647e-02 eta: 22:02:13 time: 0.5079 data_time: 0.0310 memory: 18104 grad_norm: 4.2718 loss: 3.3187 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8978 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.4209 2023/02/02 13:02:43 - mmengine - INFO - Epoch(train) [174][ 180/1879] lr: 3.0640e-02 eta: 22:01:53 time: 0.5027 data_time: 0.0366 memory: 18104 grad_norm: 4.2845 loss: 3.5227 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.9840 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.5388 2023/02/02 13:02:54 - mmengine - INFO - Epoch(train) [174][ 200/1879] lr: 3.0633e-02 eta: 22:01:42 time: 0.5086 data_time: 0.0304 memory: 18104 grad_norm: 4.1171 loss: 3.3107 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 1.8923 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.4184 2023/02/02 13:03:04 - mmengine - INFO - Epoch(train) [174][ 220/1879] lr: 3.0626e-02 eta: 22:02:07 time: 0.5326 data_time: 0.0448 memory: 18104 grad_norm: 4.2832 loss: 3.4644 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0424 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.4220 2023/02/02 13:03:14 - mmengine - INFO - Epoch(train) [174][ 240/1879] lr: 3.0620e-02 eta: 22:01:44 time: 0.5006 data_time: 0.0319 memory: 18104 grad_norm: 4.2382 loss: 3.2143 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.8168 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.3975 2023/02/02 13:03:25 - mmengine - INFO - Epoch(train) [174][ 260/1879] lr: 3.0613e-02 eta: 22:01:34 time: 0.5099 data_time: 0.0389 memory: 18104 grad_norm: 4.1643 loss: 3.3830 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.9147 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.4683 2023/02/02 13:03:35 - mmengine - INFO - Epoch(train) [174][ 280/1879] lr: 3.0606e-02 eta: 22:01:32 time: 0.5146 data_time: 0.0283 memory: 18104 grad_norm: 4.1980 loss: 3.5176 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.0233 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.4943 2023/02/02 13:03:45 - mmengine - INFO - Epoch(train) [174][ 300/1879] lr: 3.0599e-02 eta: 22:01:27 time: 0.5129 data_time: 0.0377 memory: 18104 grad_norm: 4.3434 loss: 3.6687 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2016 top1_acc_1: 0.6471 top5_acc_1: 0.9294 loss_cls_1: 1.4671 2023/02/02 13:03:56 - mmengine - INFO - Epoch(train) [174][ 320/1879] lr: 3.0592e-02 eta: 22:01:32 time: 0.5203 data_time: 0.0301 memory: 18104 grad_norm: 4.3817 loss: 3.6157 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0938 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.5219 2023/02/02 13:04:06 - mmengine - INFO - Epoch(train) [174][ 340/1879] lr: 3.0585e-02 eta: 22:01:51 time: 0.5303 data_time: 0.0373 memory: 18104 grad_norm: 4.2752 loss: 3.3639 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9090 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.4549 2023/02/02 13:04:17 - mmengine - INFO - Epoch(train) [174][ 360/1879] lr: 3.0578e-02 eta: 22:02:23 time: 0.5403 data_time: 0.0298 memory: 18104 grad_norm: 4.2664 loss: 3.5151 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9632 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.5519 2023/02/02 13:04:28 - mmengine - INFO - Epoch(train) [174][ 380/1879] lr: 3.0571e-02 eta: 22:02:44 time: 0.5324 data_time: 0.0349 memory: 18104 grad_norm: 4.2911 loss: 3.4665 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0378 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.4287 2023/02/02 13:04:38 - mmengine - INFO - Epoch(train) [174][ 400/1879] lr: 3.0564e-02 eta: 22:02:55 time: 0.5257 data_time: 0.0304 memory: 18104 grad_norm: 4.2580 loss: 3.5806 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.1647 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.4159 2023/02/02 13:04:49 - mmengine - INFO - Epoch(train) [174][ 420/1879] lr: 3.0557e-02 eta: 22:03:33 time: 0.5457 data_time: 0.0474 memory: 18104 grad_norm: 4.3718 loss: 3.5612 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.1541 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.4071 2023/02/02 13:04:59 - mmengine - INFO - Epoch(train) [174][ 440/1879] lr: 3.0550e-02 eta: 22:03:29 time: 0.5157 data_time: 0.0305 memory: 18104 grad_norm: 4.2469 loss: 3.4541 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.0547 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.3994 2023/02/02 13:05:10 - mmengine - INFO - Epoch(train) [174][ 460/1879] lr: 3.0543e-02 eta: 22:03:46 time: 0.5309 data_time: 0.0365 memory: 18104 grad_norm: 4.2925 loss: 3.5484 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0914 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.4570 2023/02/02 13:05:21 - mmengine - INFO - Epoch(train) [174][ 480/1879] lr: 3.0536e-02 eta: 22:04:18 time: 0.5426 data_time: 0.0426 memory: 18104 grad_norm: 4.3817 loss: 3.8322 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3274 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.5048 2023/02/02 13:05:31 - mmengine - INFO - Epoch(train) [174][ 500/1879] lr: 3.0529e-02 eta: 22:04:20 time: 0.5205 data_time: 0.0368 memory: 18104 grad_norm: 4.2848 loss: 3.3602 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.8724 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.4878 2023/02/02 13:05:42 - mmengine - INFO - Epoch(train) [174][ 520/1879] lr: 3.0522e-02 eta: 22:04:18 time: 0.5173 data_time: 0.0307 memory: 18104 grad_norm: 4.3471 loss: 3.4858 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.9946 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.4911 2023/02/02 13:05:52 - mmengine - INFO - Epoch(train) [174][ 540/1879] lr: 3.0515e-02 eta: 22:04:24 time: 0.5241 data_time: 0.0390 memory: 18104 grad_norm: 4.2889 loss: 3.4442 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9786 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.4656 2023/02/02 13:06:03 - mmengine - INFO - Epoch(train) [174][ 560/1879] lr: 3.0509e-02 eta: 22:04:25 time: 0.5204 data_time: 0.0382 memory: 18104 grad_norm: 4.1745 loss: 3.4670 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.9574 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.5096 2023/02/02 13:06:13 - mmengine - INFO - Epoch(train) [174][ 580/1879] lr: 3.0502e-02 eta: 22:04:24 time: 0.5180 data_time: 0.0361 memory: 18104 grad_norm: 4.3244 loss: 3.3689 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9034 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.4655 2023/02/02 13:06:24 - mmengine - INFO - Epoch(train) [174][ 600/1879] lr: 3.0495e-02 eta: 22:04:29 time: 0.5241 data_time: 0.0302 memory: 18104 grad_norm: 4.3474 loss: 3.5456 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.1268 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 1.4188 2023/02/02 13:06:34 - mmengine - INFO - Epoch(train) [174][ 620/1879] lr: 3.0488e-02 eta: 22:04:31 time: 0.5207 data_time: 0.0451 memory: 18104 grad_norm: 4.3045 loss: 3.4845 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.0313 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.4533 2023/02/02 13:06:44 - mmengine - INFO - Epoch(train) [174][ 640/1879] lr: 3.0481e-02 eta: 22:04:31 time: 0.5207 data_time: 0.0308 memory: 18104 grad_norm: 4.2410 loss: 3.5132 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.0612 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.4520 2023/02/02 13:06:55 - mmengine - INFO - Epoch(train) [174][ 660/1879] lr: 3.0474e-02 eta: 22:04:29 time: 0.5181 data_time: 0.0356 memory: 18104 grad_norm: 4.2841 loss: 3.3831 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9658 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.4173 2023/02/02 13:07:05 - mmengine - INFO - Epoch(train) [174][ 680/1879] lr: 3.0467e-02 eta: 22:04:39 time: 0.5281 data_time: 0.0327 memory: 18104 grad_norm: 4.3606 loss: 3.6134 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0419 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.5715 2023/02/02 13:07:16 - mmengine - INFO - Epoch(train) [174][ 700/1879] lr: 3.0460e-02 eta: 22:04:25 time: 0.5088 data_time: 0.0380 memory: 18104 grad_norm: 4.2725 loss: 3.4836 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 1.9865 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.4971 2023/02/02 13:07:26 - mmengine - INFO - Epoch(train) [174][ 720/1879] lr: 3.0453e-02 eta: 22:04:19 time: 0.5159 data_time: 0.0321 memory: 18104 grad_norm: 4.2699 loss: 3.5743 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1744 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.3998 2023/02/02 13:07:36 - mmengine - INFO - Epoch(train) [174][ 740/1879] lr: 3.0446e-02 eta: 22:04:06 time: 0.5092 data_time: 0.0359 memory: 18104 grad_norm: 4.2889 loss: 3.3891 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9973 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.3919 2023/02/02 13:07:47 - mmengine - INFO - Epoch(train) [174][ 760/1879] lr: 3.0439e-02 eta: 22:04:09 time: 0.5233 data_time: 0.0312 memory: 18104 grad_norm: 4.1911 loss: 3.4707 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 1.9575 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5132 2023/02/02 13:07:57 - mmengine - INFO - Epoch(train) [174][ 780/1879] lr: 3.0432e-02 eta: 22:03:55 time: 0.5087 data_time: 0.0363 memory: 18104 grad_norm: 4.2166 loss: 3.1568 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.7410 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4158 2023/02/02 13:08:07 - mmengine - INFO - Epoch(train) [174][ 800/1879] lr: 3.0425e-02 eta: 22:03:47 time: 0.5138 data_time: 0.0309 memory: 18104 grad_norm: 4.2703 loss: 3.5367 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 2.0902 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.4466 2023/02/02 13:08:18 - mmengine - INFO - Epoch(train) [174][ 820/1879] lr: 3.0418e-02 eta: 22:03:46 time: 0.5198 data_time: 0.0446 memory: 18104 grad_norm: 4.3014 loss: 3.4173 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.0031 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.4143 2023/02/02 13:08:28 - mmengine - INFO - Epoch(train) [174][ 840/1879] lr: 3.0411e-02 eta: 22:03:43 time: 0.5183 data_time: 0.0313 memory: 18104 grad_norm: 4.3665 loss: 3.5320 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1499 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.3821 2023/02/02 13:08:38 - mmengine - INFO - Epoch(train) [174][ 860/1879] lr: 3.0405e-02 eta: 22:03:40 time: 0.5181 data_time: 0.0355 memory: 18104 grad_norm: 4.2928 loss: 3.3300 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7765 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.5535 2023/02/02 13:08:49 - mmengine - INFO - Epoch(train) [174][ 880/1879] lr: 3.0398e-02 eta: 22:03:37 time: 0.5193 data_time: 0.0310 memory: 18104 grad_norm: 4.3342 loss: 3.5646 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0532 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5113 2023/02/02 13:08:59 - mmengine - INFO - Epoch(train) [174][ 900/1879] lr: 3.0391e-02 eta: 22:03:35 time: 0.5193 data_time: 0.0374 memory: 18104 grad_norm: 4.2444 loss: 3.4352 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9387 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.4965 2023/02/02 13:09:09 - mmengine - INFO - Epoch(train) [174][ 920/1879] lr: 3.0384e-02 eta: 22:03:24 time: 0.5116 data_time: 0.0315 memory: 18104 grad_norm: 4.2588 loss: 3.3106 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9558 top1_acc_1: 0.7529 top5_acc_1: 0.8588 loss_cls_1: 1.3548 2023/02/02 13:09:16 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 13:09:20 - mmengine - INFO - Epoch(train) [174][ 940/1879] lr: 3.0377e-02 eta: 22:03:16 time: 0.5142 data_time: 0.0366 memory: 18104 grad_norm: 4.2830 loss: 3.5337 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.1219 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.4119 2023/02/02 13:09:30 - mmengine - INFO - Epoch(train) [174][ 960/1879] lr: 3.0370e-02 eta: 22:03:22 time: 0.5265 data_time: 0.0402 memory: 18104 grad_norm: 4.3142 loss: 3.9002 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.3936 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.5066 2023/02/02 13:09:41 - mmengine - INFO - Epoch(train) [174][ 980/1879] lr: 3.0363e-02 eta: 22:03:20 time: 0.5203 data_time: 0.0378 memory: 18104 grad_norm: 4.2510 loss: 3.4983 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.9868 top1_acc_1: 0.5294 top5_acc_1: 0.8353 loss_cls_1: 1.5115 2023/02/02 13:09:51 - mmengine - INFO - Epoch(train) [174][1000/1879] lr: 3.0356e-02 eta: 22:03:15 time: 0.5168 data_time: 0.0319 memory: 18104 grad_norm: 4.2827 loss: 3.4193 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.0324 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.3870 2023/02/02 13:10:02 - mmengine - INFO - Epoch(train) [174][1020/1879] lr: 3.0349e-02 eta: 22:03:13 time: 0.5201 data_time: 0.0454 memory: 18104 grad_norm: 4.2379 loss: 3.5013 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9876 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.5138 2023/02/02 13:10:12 - mmengine - INFO - Epoch(train) [174][1040/1879] lr: 3.0342e-02 eta: 22:02:49 time: 0.5000 data_time: 0.0318 memory: 18104 grad_norm: 4.2601 loss: 3.6130 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.1113 top1_acc_1: 0.7176 top5_acc_1: 0.8118 loss_cls_1: 1.5017 2023/02/02 13:10:22 - mmengine - INFO - Epoch(train) [174][1060/1879] lr: 3.0335e-02 eta: 22:02:31 time: 0.5045 data_time: 0.0372 memory: 18104 grad_norm: 4.3681 loss: 3.6231 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.1746 top1_acc_1: 0.6706 top5_acc_1: 0.9294 loss_cls_1: 1.4486 2023/02/02 13:10:32 - mmengine - INFO - Epoch(train) [174][1080/1879] lr: 3.0328e-02 eta: 22:02:32 time: 0.5230 data_time: 0.0314 memory: 18104 grad_norm: 4.2358 loss: 3.3996 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.9683 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.4314 2023/02/02 13:10:42 - mmengine - INFO - Epoch(train) [174][1100/1879] lr: 3.0321e-02 eta: 22:02:11 time: 0.5024 data_time: 0.0428 memory: 18104 grad_norm: 4.3849 loss: 3.4636 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0219 top1_acc_1: 0.7412 top5_acc_1: 0.8471 loss_cls_1: 1.4417 2023/02/02 13:10:52 - mmengine - INFO - Epoch(train) [174][1120/1879] lr: 3.0314e-02 eta: 22:01:56 time: 0.5072 data_time: 0.0309 memory: 18104 grad_norm: 4.2657 loss: 3.4704 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.0416 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.4288 2023/02/02 13:11:03 - mmengine - INFO - Epoch(train) [174][1140/1879] lr: 3.0308e-02 eta: 22:01:39 time: 0.5062 data_time: 0.0366 memory: 18104 grad_norm: 4.2879 loss: 3.3933 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9940 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.3993 2023/02/02 13:11:13 - mmengine - INFO - Epoch(train) [174][1160/1879] lr: 3.0301e-02 eta: 22:01:51 time: 0.5339 data_time: 0.0321 memory: 18104 grad_norm: 4.2410 loss: 3.5261 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0849 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.4412 2023/02/02 13:11:23 - mmengine - INFO - Epoch(train) [174][1180/1879] lr: 3.0294e-02 eta: 22:01:27 time: 0.4983 data_time: 0.0373 memory: 18104 grad_norm: 4.2092 loss: 3.6283 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1525 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.4758 2023/02/02 13:11:33 - mmengine - INFO - Epoch(train) [174][1200/1879] lr: 3.0287e-02 eta: 22:01:14 time: 0.5101 data_time: 0.0301 memory: 18104 grad_norm: 4.3362 loss: 3.5415 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1509 top1_acc_1: 0.7412 top5_acc_1: 0.8471 loss_cls_1: 1.3906 2023/02/02 13:11:44 - mmengine - INFO - Epoch(train) [174][1220/1879] lr: 3.0280e-02 eta: 22:01:02 time: 0.5098 data_time: 0.0348 memory: 18104 grad_norm: 4.1986 loss: 3.6832 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1357 top1_acc_1: 0.4941 top5_acc_1: 0.7765 loss_cls_1: 1.5476 2023/02/02 13:11:54 - mmengine - INFO - Epoch(train) [174][1240/1879] lr: 3.0273e-02 eta: 22:00:51 time: 0.5114 data_time: 0.0384 memory: 18104 grad_norm: 4.2252 loss: 3.4044 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9574 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.4470 2023/02/02 13:12:04 - mmengine - INFO - Epoch(train) [174][1260/1879] lr: 3.0266e-02 eta: 22:00:32 time: 0.5035 data_time: 0.0405 memory: 18104 grad_norm: 4.3135 loss: 3.5759 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0685 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.5075 2023/02/02 13:12:14 - mmengine - INFO - Epoch(train) [174][1280/1879] lr: 3.0259e-02 eta: 22:00:22 time: 0.5133 data_time: 0.0302 memory: 18104 grad_norm: 4.3684 loss: 3.5778 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.0796 top1_acc_1: 0.6941 top5_acc_1: 0.8118 loss_cls_1: 1.4982 2023/02/02 13:12:25 - mmengine - INFO - Epoch(train) [174][1300/1879] lr: 3.0252e-02 eta: 22:00:16 time: 0.5161 data_time: 0.0470 memory: 18104 grad_norm: 4.3235 loss: 3.4865 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9734 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.5131 2023/02/02 13:12:35 - mmengine - INFO - Epoch(train) [174][1320/1879] lr: 3.0245e-02 eta: 22:00:02 time: 0.5086 data_time: 0.0288 memory: 18104 grad_norm: 4.2022 loss: 3.7465 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.3001 top1_acc_1: 0.7294 top5_acc_1: 0.9529 loss_cls_1: 1.4464 2023/02/02 13:12:45 - mmengine - INFO - Epoch(train) [174][1340/1879] lr: 3.0238e-02 eta: 21:59:50 time: 0.5106 data_time: 0.0372 memory: 18104 grad_norm: 4.2270 loss: 3.7035 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.2877 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.4158 2023/02/02 13:12:56 - mmengine - INFO - Epoch(train) [174][1360/1879] lr: 3.0231e-02 eta: 22:00:04 time: 0.5366 data_time: 0.0456 memory: 18104 grad_norm: 4.3484 loss: 3.4592 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0520 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.4073 2023/02/02 13:13:06 - mmengine - INFO - Epoch(train) [174][1380/1879] lr: 3.0225e-02 eta: 21:59:46 time: 0.5047 data_time: 0.0388 memory: 18104 grad_norm: 4.3429 loss: 3.5911 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.1035 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.4876 2023/02/02 13:13:16 - mmengine - INFO - Epoch(train) [174][1400/1879] lr: 3.0218e-02 eta: 21:59:40 time: 0.5172 data_time: 0.0297 memory: 18104 grad_norm: 4.2423 loss: 3.6412 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1698 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.4714 2023/02/02 13:13:27 - mmengine - INFO - Epoch(train) [174][1420/1879] lr: 3.0211e-02 eta: 21:59:30 time: 0.5121 data_time: 0.0455 memory: 18104 grad_norm: 4.1712 loss: 3.5846 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1702 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.4144 2023/02/02 13:13:37 - mmengine - INFO - Epoch(train) [174][1440/1879] lr: 3.0204e-02 eta: 21:59:22 time: 0.5149 data_time: 0.0312 memory: 18104 grad_norm: 4.3453 loss: 3.7957 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.2746 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.5211 2023/02/02 13:13:47 - mmengine - INFO - Epoch(train) [174][1460/1879] lr: 3.0197e-02 eta: 21:59:12 time: 0.5123 data_time: 0.0376 memory: 18104 grad_norm: 4.3088 loss: 3.4426 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.9824 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.4603 2023/02/02 13:13:57 - mmengine - INFO - Epoch(train) [174][1480/1879] lr: 3.0190e-02 eta: 21:59:04 time: 0.5152 data_time: 0.0306 memory: 18104 grad_norm: 4.3117 loss: 3.6424 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1987 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4437 2023/02/02 13:14:08 - mmengine - INFO - Epoch(train) [174][1500/1879] lr: 3.0183e-02 eta: 21:58:59 time: 0.5177 data_time: 0.0384 memory: 18104 grad_norm: 4.3054 loss: 3.7113 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.2219 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.4894 2023/02/02 13:14:18 - mmengine - INFO - Epoch(train) [174][1520/1879] lr: 3.0176e-02 eta: 21:59:02 time: 0.5267 data_time: 0.0296 memory: 18104 grad_norm: 4.2622 loss: 3.5232 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1062 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.4171 2023/02/02 13:14:29 - mmengine - INFO - Epoch(train) [174][1540/1879] lr: 3.0169e-02 eta: 21:58:47 time: 0.5070 data_time: 0.0375 memory: 18104 grad_norm: 4.3162 loss: 3.4966 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0099 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.4867 2023/02/02 13:14:39 - mmengine - INFO - Epoch(train) [174][1560/1879] lr: 3.0162e-02 eta: 21:58:38 time: 0.5137 data_time: 0.0429 memory: 18104 grad_norm: 4.2179 loss: 3.2912 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8418 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.4494 2023/02/02 13:14:49 - mmengine - INFO - Epoch(train) [174][1580/1879] lr: 3.0155e-02 eta: 21:58:23 time: 0.5072 data_time: 0.0356 memory: 18104 grad_norm: 4.3766 loss: 3.6142 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.0973 top1_acc_1: 0.5529 top5_acc_1: 0.8118 loss_cls_1: 1.5169 2023/02/02 13:15:00 - mmengine - INFO - Epoch(train) [174][1600/1879] lr: 3.0148e-02 eta: 21:58:23 time: 0.5241 data_time: 0.0290 memory: 18104 grad_norm: 4.3801 loss: 3.6478 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2294 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.4184 2023/02/02 13:15:10 - mmengine - INFO - Epoch(train) [174][1620/1879] lr: 3.0142e-02 eta: 21:58:06 time: 0.5050 data_time: 0.0377 memory: 18104 grad_norm: 4.4613 loss: 3.6142 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1293 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4849 2023/02/02 13:15:20 - mmengine - INFO - Epoch(train) [174][1640/1879] lr: 3.0135e-02 eta: 21:57:50 time: 0.5063 data_time: 0.0348 memory: 18104 grad_norm: 4.2671 loss: 3.4174 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0086 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.4089 2023/02/02 13:15:30 - mmengine - INFO - Epoch(train) [174][1660/1879] lr: 3.0128e-02 eta: 21:57:45 time: 0.5181 data_time: 0.0342 memory: 18104 grad_norm: 4.2214 loss: 3.4021 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9819 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.4203 2023/02/02 13:15:40 - mmengine - INFO - Epoch(train) [174][1680/1879] lr: 3.0121e-02 eta: 21:57:30 time: 0.5068 data_time: 0.0313 memory: 18104 grad_norm: 4.2125 loss: 3.4736 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 1.9861 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.4875 2023/02/02 13:15:50 - mmengine - INFO - Epoch(train) [174][1700/1879] lr: 3.0114e-02 eta: 21:57:14 time: 0.5063 data_time: 0.0371 memory: 18104 grad_norm: 4.2879 loss: 3.8034 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2631 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5403 2023/02/02 13:16:01 - mmengine - INFO - Epoch(train) [174][1720/1879] lr: 3.0107e-02 eta: 21:57:08 time: 0.5172 data_time: 0.0313 memory: 18104 grad_norm: 4.2904 loss: 3.6401 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.1546 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.4855 2023/02/02 13:16:11 - mmengine - INFO - Epoch(train) [174][1740/1879] lr: 3.0100e-02 eta: 21:57:02 time: 0.5165 data_time: 0.0378 memory: 18104 grad_norm: 4.3423 loss: 3.5302 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.0125 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.5177 2023/02/02 13:16:21 - mmengine - INFO - Epoch(train) [174][1760/1879] lr: 3.0093e-02 eta: 21:56:50 time: 0.5111 data_time: 0.0298 memory: 18104 grad_norm: 4.3309 loss: 3.4317 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0182 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.4134 2023/02/02 13:16:32 - mmengine - INFO - Epoch(train) [174][1780/1879] lr: 3.0086e-02 eta: 21:56:40 time: 0.5124 data_time: 0.0389 memory: 18104 grad_norm: 4.2795 loss: 3.5540 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0659 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.4882 2023/02/02 13:16:42 - mmengine - INFO - Epoch(train) [174][1800/1879] lr: 3.0079e-02 eta: 21:56:47 time: 0.5332 data_time: 0.0304 memory: 18104 grad_norm: 4.2919 loss: 3.5578 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 2.1204 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.4373 2023/02/02 13:16:53 - mmengine - INFO - Epoch(train) [174][1820/1879] lr: 3.0072e-02 eta: 21:56:32 time: 0.5071 data_time: 0.0461 memory: 18104 grad_norm: 4.3989 loss: 3.4260 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.0114 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.4146 2023/02/02 13:17:03 - mmengine - INFO - Epoch(train) [174][1840/1879] lr: 3.0066e-02 eta: 21:56:22 time: 0.5119 data_time: 0.0297 memory: 18104 grad_norm: 4.3618 loss: 3.4709 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0462 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.4247 2023/02/02 13:17:13 - mmengine - INFO - Epoch(train) [174][1860/1879] lr: 3.0059e-02 eta: 21:56:11 time: 0.5123 data_time: 0.0370 memory: 18104 grad_norm: 4.2287 loss: 3.4737 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0734 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.4004 2023/02/02 13:17:23 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 13:17:23 - mmengine - INFO - Epoch(train) [174][1879/1879] lr: 3.0052e-02 eta: 21:55:58 time: 0.5111 data_time: 0.0423 memory: 18104 grad_norm: 4.2817 loss: 3.5053 top1_acc_0: 0.4286 top5_acc_0: 0.8571 loss_cls_0: 1.9775 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.5278 2023/02/02 13:17:38 - mmengine - INFO - Epoch(train) [175][ 20/1879] lr: 3.0045e-02 eta: 21:58:43 time: 0.7276 data_time: 0.2705 memory: 18104 grad_norm: 4.3345 loss: 3.2643 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8826 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.3817 2023/02/02 13:17:48 - mmengine - INFO - Epoch(train) [175][ 40/1879] lr: 3.0038e-02 eta: 21:58:08 time: 0.4833 data_time: 0.0366 memory: 18104 grad_norm: 4.3818 loss: 3.4301 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 1.9893 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.4408 2023/02/02 13:17:54 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 13:17:57 - mmengine - INFO - Epoch(train) [175][ 60/1879] lr: 3.0031e-02 eta: 21:57:42 time: 0.4932 data_time: 0.0468 memory: 18104 grad_norm: 4.2383 loss: 3.2505 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8470 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.4035 2023/02/02 13:18:08 - mmengine - INFO - Epoch(train) [175][ 80/1879] lr: 3.0024e-02 eta: 21:57:42 time: 0.5268 data_time: 0.0342 memory: 18104 grad_norm: 4.2108 loss: 3.5475 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.0478 top1_acc_1: 0.6235 top5_acc_1: 0.8941 loss_cls_1: 1.4998 2023/02/02 13:18:18 - mmengine - INFO - Epoch(train) [175][ 100/1879] lr: 3.0018e-02 eta: 21:57:11 time: 0.4869 data_time: 0.0358 memory: 18104 grad_norm: 4.2657 loss: 3.3122 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.8831 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.4291 2023/02/02 13:18:27 - mmengine - INFO - Epoch(train) [175][ 120/1879] lr: 3.0011e-02 eta: 21:56:30 time: 0.4743 data_time: 0.0366 memory: 18104 grad_norm: 4.3061 loss: 3.2406 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8039 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.4367 2023/02/02 13:18:38 - mmengine - INFO - Epoch(train) [175][ 140/1879] lr: 3.0004e-02 eta: 21:56:21 time: 0.5148 data_time: 0.0457 memory: 18104 grad_norm: 4.3424 loss: 3.5916 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.1398 top1_acc_1: 0.6235 top5_acc_1: 0.9412 loss_cls_1: 1.4518 2023/02/02 13:18:48 - mmengine - INFO - Epoch(train) [175][ 160/1879] lr: 2.9997e-02 eta: 21:55:57 time: 0.4956 data_time: 0.0348 memory: 18104 grad_norm: 4.2390 loss: 3.6199 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1749 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.4450 2023/02/02 13:18:57 - mmengine - INFO - Epoch(train) [175][ 180/1879] lr: 2.9990e-02 eta: 21:55:26 time: 0.4868 data_time: 0.0374 memory: 18104 grad_norm: 4.2825 loss: 3.6401 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1069 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.5332 2023/02/02 13:19:07 - mmengine - INFO - Epoch(train) [175][ 200/1879] lr: 2.9983e-02 eta: 21:54:56 time: 0.4869 data_time: 0.0357 memory: 18104 grad_norm: 4.2675 loss: 3.3914 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 1.9523 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.4391 2023/02/02 13:19:17 - mmengine - INFO - Epoch(train) [175][ 220/1879] lr: 2.9976e-02 eta: 21:54:38 time: 0.5035 data_time: 0.0450 memory: 18104 grad_norm: 4.3001 loss: 3.5825 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.1006 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.4819 2023/02/02 13:19:27 - mmengine - INFO - Epoch(train) [175][ 240/1879] lr: 2.9969e-02 eta: 21:54:08 time: 0.4863 data_time: 0.0341 memory: 18104 grad_norm: 4.3272 loss: 3.5918 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.2201 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.3716 2023/02/02 13:19:37 - mmengine - INFO - Epoch(train) [175][ 260/1879] lr: 2.9962e-02 eta: 21:53:37 time: 0.4852 data_time: 0.0359 memory: 18104 grad_norm: 4.3248 loss: 3.6927 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.2869 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.4058 2023/02/02 13:19:47 - mmengine - INFO - Epoch(train) [175][ 280/1879] lr: 2.9955e-02 eta: 21:53:13 time: 0.4950 data_time: 0.0338 memory: 18104 grad_norm: 4.3438 loss: 3.4123 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0069 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.4054 2023/02/02 13:19:57 - mmengine - INFO - Epoch(train) [175][ 300/1879] lr: 2.9949e-02 eta: 21:52:59 time: 0.5072 data_time: 0.0473 memory: 18104 grad_norm: 4.2909 loss: 3.2784 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8225 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.4559 2023/02/02 13:20:06 - mmengine - INFO - Epoch(train) [175][ 320/1879] lr: 2.9942e-02 eta: 21:52:23 time: 0.4786 data_time: 0.0330 memory: 18104 grad_norm: 4.3455 loss: 3.5181 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0348 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.4834 2023/02/02 13:20:16 - mmengine - INFO - Epoch(train) [175][ 340/1879] lr: 2.9935e-02 eta: 21:52:07 time: 0.5047 data_time: 0.0402 memory: 18104 grad_norm: 4.2969 loss: 3.6114 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1225 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.4888 2023/02/02 13:20:26 - mmengine - INFO - Epoch(train) [175][ 360/1879] lr: 2.9928e-02 eta: 21:51:49 time: 0.5009 data_time: 0.0407 memory: 18104 grad_norm: 4.2206 loss: 3.4071 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9638 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.4433 2023/02/02 13:20:37 - mmengine - INFO - Epoch(train) [175][ 380/1879] lr: 2.9921e-02 eta: 21:51:35 time: 0.5066 data_time: 0.0385 memory: 18104 grad_norm: 4.2393 loss: 3.1326 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.7527 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.3798 2023/02/02 13:20:46 - mmengine - INFO - Epoch(train) [175][ 400/1879] lr: 2.9914e-02 eta: 21:51:03 time: 0.4834 data_time: 0.0318 memory: 18104 grad_norm: 4.4397 loss: 3.6995 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1986 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.5009 2023/02/02 13:20:56 - mmengine - INFO - Epoch(train) [175][ 420/1879] lr: 2.9907e-02 eta: 21:50:48 time: 0.5058 data_time: 0.0357 memory: 18104 grad_norm: 4.2619 loss: 3.3987 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9554 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.4434 2023/02/02 13:21:06 - mmengine - INFO - Epoch(train) [175][ 440/1879] lr: 2.9900e-02 eta: 21:50:30 time: 0.5005 data_time: 0.0356 memory: 18104 grad_norm: 4.2749 loss: 3.2215 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7683 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.4532 2023/02/02 13:21:16 - mmengine - INFO - Epoch(train) [175][ 460/1879] lr: 2.9893e-02 eta: 21:50:10 time: 0.4986 data_time: 0.0371 memory: 18104 grad_norm: 4.3016 loss: 3.3468 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9535 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.3932 2023/02/02 13:21:26 - mmengine - INFO - Epoch(train) [175][ 480/1879] lr: 2.9886e-02 eta: 21:49:50 time: 0.4982 data_time: 0.0339 memory: 18104 grad_norm: 4.1946 loss: 3.2122 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8757 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.3365 2023/02/02 13:21:37 - mmengine - INFO - Epoch(train) [175][ 500/1879] lr: 2.9880e-02 eta: 21:49:43 time: 0.5164 data_time: 0.0426 memory: 18104 grad_norm: 4.3121 loss: 3.3316 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9494 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.3822 2023/02/02 13:21:47 - mmengine - INFO - Epoch(train) [175][ 520/1879] lr: 2.9873e-02 eta: 21:49:19 time: 0.4923 data_time: 0.0340 memory: 18104 grad_norm: 4.3856 loss: 3.3896 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.0037 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.3859 2023/02/02 13:21:57 - mmengine - INFO - Epoch(train) [175][ 540/1879] lr: 2.9866e-02 eta: 21:49:07 time: 0.5090 data_time: 0.0354 memory: 18104 grad_norm: 4.3114 loss: 3.3394 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9681 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.3713 2023/02/02 13:22:07 - mmengine - INFO - Epoch(train) [175][ 560/1879] lr: 2.9859e-02 eta: 21:48:57 time: 0.5125 data_time: 0.0345 memory: 18104 grad_norm: 4.3126 loss: 3.4843 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0326 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4517 2023/02/02 13:22:17 - mmengine - INFO - Epoch(train) [175][ 580/1879] lr: 2.9852e-02 eta: 21:48:44 time: 0.5076 data_time: 0.0423 memory: 18104 grad_norm: 4.2789 loss: 3.3841 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 1.9585 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.4256 2023/02/02 13:22:27 - mmengine - INFO - Epoch(train) [175][ 600/1879] lr: 2.9845e-02 eta: 21:48:23 time: 0.4954 data_time: 0.0341 memory: 18104 grad_norm: 4.3031 loss: 3.6159 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1317 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.4842 2023/02/02 13:22:37 - mmengine - INFO - Epoch(train) [175][ 620/1879] lr: 2.9838e-02 eta: 21:48:11 time: 0.5096 data_time: 0.0360 memory: 18104 grad_norm: 4.3138 loss: 3.7113 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.2645 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.4468 2023/02/02 13:22:48 - mmengine - INFO - Epoch(train) [175][ 640/1879] lr: 2.9831e-02 eta: 21:47:58 time: 0.5071 data_time: 0.0414 memory: 18104 grad_norm: 4.3410 loss: 3.3532 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9102 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.4430 2023/02/02 13:22:58 - mmengine - INFO - Epoch(train) [175][ 660/1879] lr: 2.9824e-02 eta: 21:47:36 time: 0.4944 data_time: 0.0362 memory: 18104 grad_norm: 4.3254 loss: 3.6214 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1154 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.5060 2023/02/02 13:23:08 - mmengine - INFO - Epoch(train) [175][ 680/1879] lr: 2.9818e-02 eta: 21:47:18 time: 0.5007 data_time: 0.0338 memory: 18104 grad_norm: 4.2786 loss: 3.6772 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1452 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.5320 2023/02/02 13:23:18 - mmengine - INFO - Epoch(train) [175][ 700/1879] lr: 2.9811e-02 eta: 21:47:02 time: 0.5027 data_time: 0.0369 memory: 18104 grad_norm: 4.2988 loss: 3.4809 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.2004 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.2805 2023/02/02 13:23:28 - mmengine - INFO - Epoch(train) [175][ 720/1879] lr: 2.9804e-02 eta: 21:46:42 time: 0.4965 data_time: 0.0331 memory: 18104 grad_norm: 4.4081 loss: 3.6094 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.1581 top1_acc_1: 0.7412 top5_acc_1: 0.8471 loss_cls_1: 1.4512 2023/02/02 13:23:38 - mmengine - INFO - Epoch(train) [175][ 740/1879] lr: 2.9797e-02 eta: 21:46:29 time: 0.5074 data_time: 0.0370 memory: 18104 grad_norm: 4.3670 loss: 3.2440 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.7939 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.4501 2023/02/02 13:23:48 - mmengine - INFO - Epoch(train) [175][ 760/1879] lr: 2.9790e-02 eta: 21:46:12 time: 0.5010 data_time: 0.0332 memory: 18104 grad_norm: 4.2577 loss: 3.4091 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.9731 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.4361 2023/02/02 13:23:58 - mmengine - INFO - Epoch(train) [175][ 780/1879] lr: 2.9783e-02 eta: 21:46:12 time: 0.5261 data_time: 0.0384 memory: 18104 grad_norm: 4.3595 loss: 3.5327 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0723 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.4604 2023/02/02 13:24:08 - mmengine - INFO - Epoch(train) [175][ 800/1879] lr: 2.9776e-02 eta: 21:45:44 time: 0.4861 data_time: 0.0327 memory: 18104 grad_norm: 4.2866 loss: 3.3909 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.9028 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.4881 2023/02/02 13:24:18 - mmengine - INFO - Epoch(train) [175][ 820/1879] lr: 2.9769e-02 eta: 21:45:31 time: 0.5069 data_time: 0.0357 memory: 18104 grad_norm: 4.3282 loss: 3.4855 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0845 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.4010 2023/02/02 13:24:28 - mmengine - INFO - Epoch(train) [175][ 840/1879] lr: 2.9762e-02 eta: 21:45:13 time: 0.4993 data_time: 0.0359 memory: 18104 grad_norm: 4.2541 loss: 3.5729 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0729 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.5000 2023/02/02 13:24:39 - mmengine - INFO - Epoch(train) [175][ 860/1879] lr: 2.9756e-02 eta: 21:45:05 time: 0.5142 data_time: 0.0454 memory: 18104 grad_norm: 4.2585 loss: 3.7043 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1727 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.5317 2023/02/02 13:24:49 - mmengine - INFO - Epoch(train) [175][ 880/1879] lr: 2.9749e-02 eta: 21:44:45 time: 0.4961 data_time: 0.0348 memory: 18104 grad_norm: 4.2534 loss: 3.5740 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1331 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.4409 2023/02/02 13:24:59 - mmengine - INFO - Epoch(train) [175][ 900/1879] lr: 2.9742e-02 eta: 21:44:31 time: 0.5053 data_time: 0.0355 memory: 18104 grad_norm: 4.3271 loss: 3.5177 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1086 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.4092 2023/02/02 13:25:09 - mmengine - INFO - Epoch(train) [175][ 920/1879] lr: 2.9735e-02 eta: 21:44:17 time: 0.5053 data_time: 0.0323 memory: 18104 grad_norm: 4.2613 loss: 3.4168 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8593 top1_acc_1: 0.7059 top5_acc_1: 0.8118 loss_cls_1: 1.5574 2023/02/02 13:25:19 - mmengine - INFO - Epoch(train) [175][ 940/1879] lr: 2.9728e-02 eta: 21:44:16 time: 0.5246 data_time: 0.0543 memory: 18104 grad_norm: 4.4199 loss: 3.5837 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2340 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.3497 2023/02/02 13:25:29 - mmengine - INFO - Epoch(train) [175][ 960/1879] lr: 2.9721e-02 eta: 21:43:48 time: 0.4839 data_time: 0.0328 memory: 18104 grad_norm: 4.2242 loss: 3.6422 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.1896 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.4527 2023/02/02 13:25:39 - mmengine - INFO - Epoch(train) [175][ 980/1879] lr: 2.9714e-02 eta: 21:43:35 time: 0.5071 data_time: 0.0315 memory: 18104 grad_norm: 4.3346 loss: 3.5561 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.0481 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.5080 2023/02/02 13:25:49 - mmengine - INFO - Epoch(train) [175][1000/1879] lr: 2.9707e-02 eta: 21:43:23 time: 0.5081 data_time: 0.0376 memory: 18104 grad_norm: 4.3054 loss: 3.4939 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0386 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.4553 2023/02/02 13:26:00 - mmengine - INFO - Epoch(train) [175][1020/1879] lr: 2.9700e-02 eta: 21:43:10 time: 0.5067 data_time: 0.0349 memory: 18104 grad_norm: 4.3329 loss: 3.4430 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9715 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.4715 2023/02/02 13:26:09 - mmengine - INFO - Epoch(train) [175][1040/1879] lr: 2.9694e-02 eta: 21:42:46 time: 0.4891 data_time: 0.0311 memory: 18104 grad_norm: 4.4062 loss: 3.4881 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.0108 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.4773 2023/02/02 13:26:16 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 13:26:19 - mmengine - INFO - Epoch(train) [175][1060/1879] lr: 2.9687e-02 eta: 21:42:34 time: 0.5069 data_time: 0.0354 memory: 18104 grad_norm: 4.4029 loss: 3.5759 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1549 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.4210 2023/02/02 13:26:30 - mmengine - INFO - Epoch(train) [175][1080/1879] lr: 2.9680e-02 eta: 21:42:18 time: 0.5031 data_time: 0.0328 memory: 18104 grad_norm: 4.3702 loss: 3.5258 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1034 top1_acc_1: 0.7529 top5_acc_1: 0.8588 loss_cls_1: 1.4223 2023/02/02 13:26:40 - mmengine - INFO - Epoch(train) [175][1100/1879] lr: 2.9673e-02 eta: 21:42:03 time: 0.5016 data_time: 0.0332 memory: 18104 grad_norm: 4.3001 loss: 3.6397 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.1727 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.4670 2023/02/02 13:26:49 - mmengine - INFO - Epoch(train) [175][1120/1879] lr: 2.9666e-02 eta: 21:41:36 time: 0.4850 data_time: 0.0327 memory: 18104 grad_norm: 4.3377 loss: 3.6367 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.1804 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.4563 2023/02/02 13:27:00 - mmengine - INFO - Epoch(train) [175][1140/1879] lr: 2.9659e-02 eta: 21:41:36 time: 0.5268 data_time: 0.0412 memory: 18104 grad_norm: 4.3676 loss: 3.4839 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0687 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.4152 2023/02/02 13:27:10 - mmengine - INFO - Epoch(train) [175][1160/1879] lr: 2.9652e-02 eta: 21:41:15 time: 0.4939 data_time: 0.0326 memory: 18104 grad_norm: 4.2389 loss: 3.4593 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0492 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.4101 2023/02/02 13:27:20 - mmengine - INFO - Epoch(train) [175][1180/1879] lr: 2.9645e-02 eta: 21:41:05 time: 0.5097 data_time: 0.0335 memory: 18104 grad_norm: 4.3114 loss: 3.4168 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0171 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.3997 2023/02/02 13:27:30 - mmengine - INFO - Epoch(train) [175][1200/1879] lr: 2.9639e-02 eta: 21:41:00 time: 0.5188 data_time: 0.0322 memory: 18104 grad_norm: 4.3239 loss: 3.6004 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1315 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.4689 2023/02/02 13:27:41 - mmengine - INFO - Epoch(train) [175][1220/1879] lr: 2.9632e-02 eta: 21:40:55 time: 0.5196 data_time: 0.0348 memory: 18104 grad_norm: 4.3474 loss: 3.6748 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2276 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.4472 2023/02/02 13:27:51 - mmengine - INFO - Epoch(train) [175][1240/1879] lr: 2.9625e-02 eta: 21:40:41 time: 0.5052 data_time: 0.0313 memory: 18104 grad_norm: 4.3649 loss: 3.5956 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1172 top1_acc_1: 0.5294 top5_acc_1: 0.7412 loss_cls_1: 1.4784 2023/02/02 13:28:02 - mmengine - INFO - Epoch(train) [175][1260/1879] lr: 2.9618e-02 eta: 21:40:48 time: 0.5377 data_time: 0.0346 memory: 18104 grad_norm: 4.2981 loss: 3.6140 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1175 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.4965 2023/02/02 13:28:12 - mmengine - INFO - Epoch(train) [175][1280/1879] lr: 2.9611e-02 eta: 21:40:38 time: 0.5116 data_time: 0.0303 memory: 18104 grad_norm: 4.2149 loss: 3.3878 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.9360 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.4517 2023/02/02 13:28:22 - mmengine - INFO - Epoch(train) [175][1300/1879] lr: 2.9604e-02 eta: 21:40:38 time: 0.5276 data_time: 0.0417 memory: 18104 grad_norm: 4.2723 loss: 3.4751 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9234 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5516 2023/02/02 13:28:33 - mmengine - INFO - Epoch(train) [175][1320/1879] lr: 2.9597e-02 eta: 21:40:24 time: 0.5049 data_time: 0.0325 memory: 18104 grad_norm: 4.3500 loss: 3.3764 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7677 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.6087 2023/02/02 13:28:43 - mmengine - INFO - Epoch(train) [175][1340/1879] lr: 2.9590e-02 eta: 21:40:31 time: 0.5389 data_time: 0.0335 memory: 18104 grad_norm: 4.2586 loss: 3.6760 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.1810 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.4950 2023/02/02 13:28:54 - mmengine - INFO - Epoch(train) [175][1360/1879] lr: 2.9584e-02 eta: 21:40:25 time: 0.5185 data_time: 0.0333 memory: 18104 grad_norm: 4.2082 loss: 3.4739 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0951 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.3788 2023/02/02 13:29:04 - mmengine - INFO - Epoch(train) [175][1380/1879] lr: 2.9577e-02 eta: 21:40:19 time: 0.5182 data_time: 0.0315 memory: 18104 grad_norm: 4.3622 loss: 3.7610 top1_acc_0: 0.1875 top5_acc_0: 0.5000 loss_cls_0: 2.3009 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.4601 2023/02/02 13:29:15 - mmengine - INFO - Epoch(train) [175][1400/1879] lr: 2.9570e-02 eta: 21:40:18 time: 0.5258 data_time: 0.0306 memory: 18104 grad_norm: 4.2711 loss: 3.4774 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.0819 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.3956 2023/02/02 13:29:25 - mmengine - INFO - Epoch(train) [175][1420/1879] lr: 2.9563e-02 eta: 21:40:21 time: 0.5342 data_time: 0.0347 memory: 18104 grad_norm: 4.2334 loss: 3.5921 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.1223 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.4697 2023/02/02 13:29:36 - mmengine - INFO - Epoch(train) [175][1440/1879] lr: 2.9556e-02 eta: 21:40:09 time: 0.5077 data_time: 0.0321 memory: 18104 grad_norm: 4.3196 loss: 3.7403 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.2939 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.4464 2023/02/02 13:29:46 - mmengine - INFO - Epoch(train) [175][1460/1879] lr: 2.9549e-02 eta: 21:40:13 time: 0.5352 data_time: 0.0351 memory: 18104 grad_norm: 4.2627 loss: 3.5290 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.0696 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.4594 2023/02/02 13:29:57 - mmengine - INFO - Epoch(train) [175][1480/1879] lr: 2.9542e-02 eta: 21:40:10 time: 0.5229 data_time: 0.0321 memory: 18104 grad_norm: 4.2874 loss: 3.4035 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0475 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.3560 2023/02/02 13:30:08 - mmengine - INFO - Epoch(train) [175][1500/1879] lr: 2.9535e-02 eta: 21:40:14 time: 0.5360 data_time: 0.0418 memory: 18104 grad_norm: 4.2743 loss: 3.3835 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9435 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.4400 2023/02/02 13:30:18 - mmengine - INFO - Epoch(train) [175][1520/1879] lr: 2.9529e-02 eta: 21:40:11 time: 0.5244 data_time: 0.0318 memory: 18104 grad_norm: 4.3067 loss: 3.5226 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0948 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.4278 2023/02/02 13:30:28 - mmengine - INFO - Epoch(train) [175][1540/1879] lr: 2.9522e-02 eta: 21:40:06 time: 0.5195 data_time: 0.0345 memory: 18104 grad_norm: 4.2033 loss: 3.3944 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9678 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.4265 2023/02/02 13:30:39 - mmengine - INFO - Epoch(train) [175][1560/1879] lr: 2.9515e-02 eta: 21:40:03 time: 0.5248 data_time: 0.0325 memory: 18104 grad_norm: 4.2965 loss: 3.4899 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.0311 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.4588 2023/02/02 13:30:50 - mmengine - INFO - Epoch(train) [175][1580/1879] lr: 2.9508e-02 eta: 21:40:05 time: 0.5328 data_time: 0.0410 memory: 18104 grad_norm: 4.3838 loss: 3.4589 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0349 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.4239 2023/02/02 13:31:00 - mmengine - INFO - Epoch(train) [175][1600/1879] lr: 2.9501e-02 eta: 21:40:05 time: 0.5300 data_time: 0.0372 memory: 18104 grad_norm: 4.3377 loss: 3.3227 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.9385 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.3842 2023/02/02 13:31:11 - mmengine - INFO - Epoch(train) [175][1620/1879] lr: 2.9494e-02 eta: 21:40:10 time: 0.5374 data_time: 0.0289 memory: 18104 grad_norm: 4.2725 loss: 3.7035 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2580 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.4455 2023/02/02 13:31:22 - mmengine - INFO - Epoch(train) [175][1640/1879] lr: 2.9487e-02 eta: 21:40:18 time: 0.5452 data_time: 0.0360 memory: 18104 grad_norm: 4.3575 loss: 3.5172 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0496 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.4676 2023/02/02 13:31:33 - mmengine - INFO - Epoch(train) [175][1660/1879] lr: 2.9480e-02 eta: 21:40:22 time: 0.5358 data_time: 0.0280 memory: 18104 grad_norm: 4.3865 loss: 3.5106 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1305 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.3801 2023/02/02 13:31:43 - mmengine - INFO - Epoch(train) [175][1680/1879] lr: 2.9474e-02 eta: 21:40:25 time: 0.5365 data_time: 0.0357 memory: 18104 grad_norm: 4.3419 loss: 3.4790 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9856 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.4934 2023/02/02 13:31:54 - mmengine - INFO - Epoch(train) [175][1700/1879] lr: 2.9467e-02 eta: 21:40:29 time: 0.5378 data_time: 0.0285 memory: 18104 grad_norm: 4.2734 loss: 3.4987 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0587 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.4400 2023/02/02 13:32:05 - mmengine - INFO - Epoch(train) [175][1720/1879] lr: 2.9460e-02 eta: 21:40:39 time: 0.5472 data_time: 0.0434 memory: 18104 grad_norm: 4.2762 loss: 3.6104 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.1538 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.4566 2023/02/02 13:32:16 - mmengine - INFO - Epoch(train) [175][1740/1879] lr: 2.9453e-02 eta: 21:40:39 time: 0.5321 data_time: 0.0290 memory: 18104 grad_norm: 4.2123 loss: 3.5547 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1367 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.4180 2023/02/02 13:32:27 - mmengine - INFO - Epoch(train) [175][1760/1879] lr: 2.9446e-02 eta: 21:40:45 time: 0.5411 data_time: 0.0493 memory: 18104 grad_norm: 4.2860 loss: 3.2763 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8101 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.4662 2023/02/02 13:32:37 - mmengine - INFO - Epoch(train) [175][1780/1879] lr: 2.9439e-02 eta: 21:40:47 time: 0.5342 data_time: 0.0236 memory: 18104 grad_norm: 4.3311 loss: 3.5316 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1048 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.4268 2023/02/02 13:32:48 - mmengine - INFO - Epoch(train) [175][1800/1879] lr: 2.9432e-02 eta: 21:40:37 time: 0.5136 data_time: 0.0377 memory: 18104 grad_norm: 4.3238 loss: 3.2025 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7781 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.4244 2023/02/02 13:32:58 - mmengine - INFO - Epoch(train) [175][1820/1879] lr: 2.9426e-02 eta: 21:40:31 time: 0.5206 data_time: 0.0288 memory: 18104 grad_norm: 4.3909 loss: 3.4830 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.0425 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.4405 2023/02/02 13:33:09 - mmengine - INFO - Epoch(train) [175][1840/1879] lr: 2.9419e-02 eta: 21:40:31 time: 0.5306 data_time: 0.0421 memory: 18104 grad_norm: 4.3437 loss: 3.6307 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.1091 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.5215 2023/02/02 13:33:19 - mmengine - INFO - Epoch(train) [175][1860/1879] lr: 2.9412e-02 eta: 21:40:30 time: 0.5292 data_time: 0.0278 memory: 18104 grad_norm: 4.3519 loss: 3.6564 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 2.1525 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.5039 2023/02/02 13:33:29 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 13:33:29 - mmengine - INFO - Epoch(train) [175][1879/1879] lr: 2.9405e-02 eta: 21:40:20 time: 0.5100 data_time: 0.0335 memory: 18104 grad_norm: 4.4916 loss: 3.6280 top1_acc_0: 0.4286 top5_acc_0: 0.8571 loss_cls_0: 2.1040 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.5241 2023/02/02 13:33:44 - mmengine - INFO - Epoch(train) [176][ 20/1879] lr: 2.9398e-02 eta: 21:41:56 time: 0.7106 data_time: 0.2580 memory: 18104 grad_norm: 4.2537 loss: 3.2395 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.8651 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.3744 2023/02/02 13:33:53 - mmengine - INFO - Epoch(train) [176][ 40/1879] lr: 2.9392e-02 eta: 21:41:24 time: 0.4717 data_time: 0.0319 memory: 18104 grad_norm: 4.3161 loss: 3.6013 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1842 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.4170 2023/02/02 13:34:03 - mmengine - INFO - Epoch(train) [176][ 60/1879] lr: 2.9385e-02 eta: 21:40:57 time: 0.4819 data_time: 0.0343 memory: 18104 grad_norm: 4.2785 loss: 3.4722 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.0489 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.4234 2023/02/02 13:34:13 - mmengine - INFO - Epoch(train) [176][ 80/1879] lr: 2.9378e-02 eta: 21:40:49 time: 0.5181 data_time: 0.0405 memory: 18104 grad_norm: 4.2230 loss: 3.3120 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8507 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.4612 2023/02/02 13:34:23 - mmengine - INFO - Epoch(train) [176][ 100/1879] lr: 2.9371e-02 eta: 21:40:23 time: 0.4829 data_time: 0.0356 memory: 18104 grad_norm: 4.2413 loss: 3.1617 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8181 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.3436 2023/02/02 13:34:33 - mmengine - INFO - Epoch(train) [176][ 120/1879] lr: 2.9364e-02 eta: 21:39:52 time: 0.4738 data_time: 0.0336 memory: 18104 grad_norm: 4.3037 loss: 3.1678 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7903 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.3775 2023/02/02 13:34:43 - mmengine - INFO - Epoch(train) [176][ 140/1879] lr: 2.9357e-02 eta: 21:39:37 time: 0.5027 data_time: 0.0406 memory: 18104 grad_norm: 4.3908 loss: 3.4881 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0891 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.3990 2023/02/02 13:34:53 - mmengine - INFO - Epoch(train) [176][ 160/1879] lr: 2.9350e-02 eta: 21:39:18 time: 0.4960 data_time: 0.0318 memory: 18104 grad_norm: 4.3958 loss: 3.5937 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1241 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.4696 2023/02/02 13:35:00 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 13:35:02 - mmengine - INFO - Epoch(train) [176][ 180/1879] lr: 2.9344e-02 eta: 21:38:53 time: 0.4854 data_time: 0.0336 memory: 18104 grad_norm: 4.3486 loss: 3.4798 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1175 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.3623 2023/02/02 13:35:12 - mmengine - INFO - Epoch(train) [176][ 200/1879] lr: 2.9337e-02 eta: 21:38:20 time: 0.4685 data_time: 0.0314 memory: 18104 grad_norm: 4.2599 loss: 3.3491 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.9329 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.4162 2023/02/02 13:35:22 - mmengine - INFO - Epoch(train) [176][ 220/1879] lr: 2.9330e-02 eta: 21:38:12 time: 0.5165 data_time: 0.0400 memory: 18104 grad_norm: 4.4129 loss: 3.5496 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0831 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.4665 2023/02/02 13:35:32 - mmengine - INFO - Epoch(train) [176][ 240/1879] lr: 2.9323e-02 eta: 21:37:45 time: 0.4818 data_time: 0.0324 memory: 18104 grad_norm: 4.2890 loss: 3.3533 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.9489 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.4044 2023/02/02 13:35:42 - mmengine - INFO - Epoch(train) [176][ 260/1879] lr: 2.9316e-02 eta: 21:37:27 time: 0.4964 data_time: 0.0334 memory: 18104 grad_norm: 4.2144 loss: 3.4672 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1809 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.2864 2023/02/02 13:35:52 - mmengine - INFO - Epoch(train) [176][ 280/1879] lr: 2.9309e-02 eta: 21:37:13 time: 0.5053 data_time: 0.0315 memory: 18104 grad_norm: 4.2978 loss: 3.6003 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2246 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.3757 2023/02/02 13:36:02 - mmengine - INFO - Epoch(train) [176][ 300/1879] lr: 2.9302e-02 eta: 21:37:07 time: 0.5212 data_time: 0.0341 memory: 18104 grad_norm: 4.3238 loss: 3.2736 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9306 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.3430 2023/02/02 13:36:12 - mmengine - INFO - Epoch(train) [176][ 320/1879] lr: 2.9296e-02 eta: 21:36:45 time: 0.4884 data_time: 0.0306 memory: 18104 grad_norm: 4.3925 loss: 3.4644 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0274 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.4370 2023/02/02 13:36:22 - mmengine - INFO - Epoch(train) [176][ 340/1879] lr: 2.9289e-02 eta: 21:36:34 time: 0.5117 data_time: 0.0331 memory: 18104 grad_norm: 4.2845 loss: 3.3611 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.9453 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.4159 2023/02/02 13:36:33 - mmengine - INFO - Epoch(train) [176][ 360/1879] lr: 2.9282e-02 eta: 21:36:29 time: 0.5230 data_time: 0.0328 memory: 18104 grad_norm: 4.3146 loss: 3.5797 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1260 top1_acc_1: 0.6118 top5_acc_1: 0.7529 loss_cls_1: 1.4537 2023/02/02 13:36:43 - mmengine - INFO - Epoch(train) [176][ 380/1879] lr: 2.9275e-02 eta: 21:36:16 time: 0.5049 data_time: 0.0388 memory: 18104 grad_norm: 4.2560 loss: 3.5841 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1003 top1_acc_1: 0.6706 top5_acc_1: 0.9412 loss_cls_1: 1.4838 2023/02/02 13:36:53 - mmengine - INFO - Epoch(train) [176][ 400/1879] lr: 2.9268e-02 eta: 21:35:55 time: 0.4909 data_time: 0.0295 memory: 18104 grad_norm: 4.3347 loss: 3.4372 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.0008 top1_acc_1: 0.6941 top5_acc_1: 0.8118 loss_cls_1: 1.4364 2023/02/02 13:37:04 - mmengine - INFO - Epoch(train) [176][ 420/1879] lr: 2.9261e-02 eta: 21:35:57 time: 0.5376 data_time: 0.0481 memory: 18104 grad_norm: 4.2922 loss: 3.4463 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.9704 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.4759 2023/02/02 13:37:14 - mmengine - INFO - Epoch(train) [176][ 440/1879] lr: 2.9254e-02 eta: 21:35:43 time: 0.5055 data_time: 0.0296 memory: 18104 grad_norm: 4.3746 loss: 3.3102 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.9383 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.3719 2023/02/02 13:37:24 - mmengine - INFO - Epoch(train) [176][ 460/1879] lr: 2.9248e-02 eta: 21:35:28 time: 0.5024 data_time: 0.0388 memory: 18104 grad_norm: 4.2772 loss: 3.5001 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0739 top1_acc_1: 0.7647 top5_acc_1: 0.8706 loss_cls_1: 1.4263 2023/02/02 13:37:34 - mmengine - INFO - Epoch(train) [176][ 480/1879] lr: 2.9241e-02 eta: 21:35:09 time: 0.4938 data_time: 0.0317 memory: 18104 grad_norm: 4.2007 loss: 3.4783 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.0746 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.4038 2023/02/02 13:37:44 - mmengine - INFO - Epoch(train) [176][ 500/1879] lr: 2.9234e-02 eta: 21:35:13 time: 0.5416 data_time: 0.0458 memory: 18104 grad_norm: 4.2301 loss: 3.5590 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.0773 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.4817 2023/02/02 13:37:54 - mmengine - INFO - Epoch(train) [176][ 520/1879] lr: 2.9227e-02 eta: 21:34:51 time: 0.4892 data_time: 0.0298 memory: 18104 grad_norm: 4.3545 loss: 3.4642 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9314 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.5329 2023/02/02 13:38:04 - mmengine - INFO - Epoch(train) [176][ 540/1879] lr: 2.9220e-02 eta: 21:34:40 time: 0.5106 data_time: 0.0387 memory: 18104 grad_norm: 4.2811 loss: 3.5319 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0467 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.4851 2023/02/02 13:38:15 - mmengine - INFO - Epoch(train) [176][ 560/1879] lr: 2.9213e-02 eta: 21:34:31 time: 0.5135 data_time: 0.0365 memory: 18104 grad_norm: 4.2916 loss: 3.5211 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.0237 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.4973 2023/02/02 13:38:25 - mmengine - INFO - Epoch(train) [176][ 580/1879] lr: 2.9206e-02 eta: 21:34:28 time: 0.5274 data_time: 0.0376 memory: 18104 grad_norm: 4.3878 loss: 3.5586 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1574 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.4013 2023/02/02 13:38:35 - mmengine - INFO - Epoch(train) [176][ 600/1879] lr: 2.9200e-02 eta: 21:34:05 time: 0.4869 data_time: 0.0305 memory: 18104 grad_norm: 4.3764 loss: 3.2723 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9496 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.3227 2023/02/02 13:38:46 - mmengine - INFO - Epoch(train) [176][ 620/1879] lr: 2.9193e-02 eta: 21:34:04 time: 0.5299 data_time: 0.0466 memory: 18104 grad_norm: 4.3863 loss: 3.2897 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.8567 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.4329 2023/02/02 13:38:56 - mmengine - INFO - Epoch(train) [176][ 640/1879] lr: 2.9186e-02 eta: 21:33:43 time: 0.4914 data_time: 0.0311 memory: 18104 grad_norm: 4.4264 loss: 3.5797 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1599 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.4199 2023/02/02 13:39:06 - mmengine - INFO - Epoch(train) [176][ 660/1879] lr: 2.9179e-02 eta: 21:33:34 time: 0.5147 data_time: 0.0407 memory: 18104 grad_norm: 4.2910 loss: 3.3936 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.9623 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.4313 2023/02/02 13:39:16 - mmengine - INFO - Epoch(train) [176][ 680/1879] lr: 2.9172e-02 eta: 21:33:18 time: 0.4994 data_time: 0.0291 memory: 18104 grad_norm: 4.2952 loss: 3.2981 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8700 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.4280 2023/02/02 13:39:26 - mmengine - INFO - Epoch(train) [176][ 700/1879] lr: 2.9165e-02 eta: 21:33:14 time: 0.5247 data_time: 0.0369 memory: 18104 grad_norm: 4.2727 loss: 3.4023 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9653 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.4370 2023/02/02 13:39:36 - mmengine - INFO - Epoch(train) [176][ 720/1879] lr: 2.9159e-02 eta: 21:32:55 time: 0.4945 data_time: 0.0305 memory: 18104 grad_norm: 4.2244 loss: 3.5052 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0275 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.4777 2023/02/02 13:39:46 - mmengine - INFO - Epoch(train) [176][ 740/1879] lr: 2.9152e-02 eta: 21:32:43 time: 0.5090 data_time: 0.0349 memory: 18104 grad_norm: 4.3816 loss: 3.2856 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.9643 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.3212 2023/02/02 13:39:57 - mmengine - INFO - Epoch(train) [176][ 760/1879] lr: 2.9145e-02 eta: 21:32:34 time: 0.5141 data_time: 0.0288 memory: 18104 grad_norm: 4.3373 loss: 3.5180 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1078 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.4102 2023/02/02 13:40:07 - mmengine - INFO - Epoch(train) [176][ 780/1879] lr: 2.9138e-02 eta: 21:32:18 time: 0.5003 data_time: 0.0395 memory: 18104 grad_norm: 4.4186 loss: 3.6061 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2019 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.4043 2023/02/02 13:40:16 - mmengine - INFO - Epoch(train) [176][ 800/1879] lr: 2.9131e-02 eta: 21:31:55 time: 0.4833 data_time: 0.0292 memory: 18104 grad_norm: 4.3569 loss: 3.5771 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0810 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.4961 2023/02/02 13:40:27 - mmengine - INFO - Epoch(train) [176][ 820/1879] lr: 2.9124e-02 eta: 21:31:48 time: 0.5202 data_time: 0.0399 memory: 18104 grad_norm: 4.3628 loss: 3.3815 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0013 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.3802 2023/02/02 13:40:37 - mmengine - INFO - Epoch(train) [176][ 840/1879] lr: 2.9117e-02 eta: 21:31:29 time: 0.4923 data_time: 0.0308 memory: 18104 grad_norm: 4.3197 loss: 3.3954 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9526 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.4428 2023/02/02 13:40:47 - mmengine - INFO - Epoch(train) [176][ 860/1879] lr: 2.9111e-02 eta: 21:31:15 time: 0.5039 data_time: 0.0367 memory: 18104 grad_norm: 4.4366 loss: 3.4301 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0418 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.3883 2023/02/02 13:40:57 - mmengine - INFO - Epoch(train) [176][ 880/1879] lr: 2.9104e-02 eta: 21:30:58 time: 0.4992 data_time: 0.0389 memory: 18104 grad_norm: 4.3974 loss: 3.4086 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.9671 top1_acc_1: 0.5059 top5_acc_1: 0.8353 loss_cls_1: 1.4415 2023/02/02 13:41:07 - mmengine - INFO - Epoch(train) [176][ 900/1879] lr: 2.9097e-02 eta: 21:30:56 time: 0.5279 data_time: 0.0377 memory: 18104 grad_norm: 4.3720 loss: 3.4418 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.9648 top1_acc_1: 0.6118 top5_acc_1: 0.8941 loss_cls_1: 1.4770 2023/02/02 13:41:17 - mmengine - INFO - Epoch(train) [176][ 920/1879] lr: 2.9090e-02 eta: 21:30:36 time: 0.4917 data_time: 0.0299 memory: 18104 grad_norm: 4.4032 loss: 3.4293 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9713 top1_acc_1: 0.6588 top5_acc_1: 0.9294 loss_cls_1: 1.4580 2023/02/02 13:41:27 - mmengine - INFO - Epoch(train) [176][ 940/1879] lr: 2.9083e-02 eta: 21:30:23 time: 0.5054 data_time: 0.0467 memory: 18104 grad_norm: 4.2673 loss: 3.3051 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.9114 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.3937 2023/02/02 13:41:37 - mmengine - INFO - Epoch(train) [176][ 960/1879] lr: 2.9076e-02 eta: 21:30:03 time: 0.4916 data_time: 0.0300 memory: 18104 grad_norm: 4.3747 loss: 3.3777 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9319 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.4459 2023/02/02 13:41:48 - mmengine - INFO - Epoch(train) [176][ 980/1879] lr: 2.9070e-02 eta: 21:30:06 time: 0.5395 data_time: 0.0379 memory: 18104 grad_norm: 4.2994 loss: 3.5685 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1325 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.4359 2023/02/02 13:41:58 - mmengine - INFO - Epoch(train) [176][1000/1879] lr: 2.9063e-02 eta: 21:29:55 time: 0.5099 data_time: 0.0369 memory: 18104 grad_norm: 4.3572 loss: 3.3246 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9608 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.3637 2023/02/02 13:42:09 - mmengine - INFO - Epoch(train) [176][1020/1879] lr: 2.9056e-02 eta: 21:29:43 time: 0.5097 data_time: 0.0364 memory: 18104 grad_norm: 4.3496 loss: 3.5352 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1049 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.4304 2023/02/02 13:42:19 - mmengine - INFO - Epoch(train) [176][1040/1879] lr: 2.9049e-02 eta: 21:29:35 time: 0.5165 data_time: 0.0278 memory: 18104 grad_norm: 4.3369 loss: 3.3738 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9170 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.4568 2023/02/02 13:42:29 - mmengine - INFO - Epoch(train) [176][1060/1879] lr: 2.9042e-02 eta: 21:29:24 time: 0.5094 data_time: 0.0351 memory: 18104 grad_norm: 4.3227 loss: 3.3989 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9348 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.4641 2023/02/02 13:42:39 - mmengine - INFO - Epoch(train) [176][1080/1879] lr: 2.9035e-02 eta: 21:29:06 time: 0.4948 data_time: 0.0359 memory: 18104 grad_norm: 4.2982 loss: 3.4895 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9993 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.4902 2023/02/02 13:42:50 - mmengine - INFO - Epoch(train) [176][1100/1879] lr: 2.9029e-02 eta: 21:29:04 time: 0.5292 data_time: 0.0358 memory: 18104 grad_norm: 4.3481 loss: 3.6437 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1382 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.5055 2023/02/02 13:43:00 - mmengine - INFO - Epoch(train) [176][1120/1879] lr: 2.9022e-02 eta: 21:28:52 time: 0.5097 data_time: 0.0304 memory: 18104 grad_norm: 4.3128 loss: 3.2729 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.9056 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.3673 2023/02/02 13:43:10 - mmengine - INFO - Epoch(train) [176][1140/1879] lr: 2.9015e-02 eta: 21:28:48 time: 0.5256 data_time: 0.0361 memory: 18104 grad_norm: 4.3162 loss: 3.4845 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.0457 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.4388 2023/02/02 13:43:21 - mmengine - INFO - Epoch(train) [176][1160/1879] lr: 2.9008e-02 eta: 21:28:47 time: 0.5312 data_time: 0.0300 memory: 18104 grad_norm: 4.4359 loss: 3.3795 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9067 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.4727 2023/02/02 13:43:29 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 13:43:32 - mmengine - INFO - Epoch(train) [176][1180/1879] lr: 2.9001e-02 eta: 21:28:52 time: 0.5477 data_time: 0.0340 memory: 18104 grad_norm: 4.3371 loss: 3.3199 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9329 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.3870 2023/02/02 13:43:42 - mmengine - INFO - Epoch(train) [176][1200/1879] lr: 2.8994e-02 eta: 21:28:48 time: 0.5250 data_time: 0.0295 memory: 18104 grad_norm: 4.3812 loss: 3.6993 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2182 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.4811 2023/02/02 13:43:54 - mmengine - INFO - Epoch(train) [176][1220/1879] lr: 2.8988e-02 eta: 21:28:55 time: 0.5511 data_time: 0.0454 memory: 18104 grad_norm: 4.2927 loss: 3.5044 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0282 top1_acc_1: 0.6824 top5_acc_1: 0.8000 loss_cls_1: 1.4762 2023/02/02 13:44:04 - mmengine - INFO - Epoch(train) [176][1240/1879] lr: 2.8981e-02 eta: 21:28:52 time: 0.5309 data_time: 0.0293 memory: 18104 grad_norm: 4.2523 loss: 3.5779 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.1318 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.4461 2023/02/02 13:44:15 - mmengine - INFO - Epoch(train) [176][1260/1879] lr: 2.8974e-02 eta: 21:28:47 time: 0.5227 data_time: 0.0361 memory: 18104 grad_norm: 4.2549 loss: 3.3534 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.8418 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.5116 2023/02/02 13:44:25 - mmengine - INFO - Epoch(train) [176][1280/1879] lr: 2.8967e-02 eta: 21:28:41 time: 0.5214 data_time: 0.0380 memory: 18104 grad_norm: 4.3843 loss: 3.6750 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1424 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.5325 2023/02/02 13:44:36 - mmengine - INFO - Epoch(train) [176][1300/1879] lr: 2.8960e-02 eta: 21:28:40 time: 0.5340 data_time: 0.0353 memory: 18104 grad_norm: 4.3485 loss: 3.4276 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.0463 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.3813 2023/02/02 13:44:46 - mmengine - INFO - Epoch(train) [176][1320/1879] lr: 2.8953e-02 eta: 21:28:26 time: 0.5049 data_time: 0.0293 memory: 18104 grad_norm: 4.2969 loss: 3.3557 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.9043 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.4514 2023/02/02 13:44:56 - mmengine - INFO - Epoch(train) [176][1340/1879] lr: 2.8947e-02 eta: 21:28:20 time: 0.5206 data_time: 0.0379 memory: 18104 grad_norm: 4.3862 loss: 3.3230 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 1.9448 top1_acc_1: 0.5412 top5_acc_1: 0.8824 loss_cls_1: 1.3782 2023/02/02 13:45:06 - mmengine - INFO - Epoch(train) [176][1360/1879] lr: 2.8940e-02 eta: 21:28:06 time: 0.5053 data_time: 0.0375 memory: 18104 grad_norm: 4.3182 loss: 3.4932 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0800 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.4132 2023/02/02 13:45:17 - mmengine - INFO - Epoch(train) [176][1380/1879] lr: 2.8933e-02 eta: 21:27:58 time: 0.5174 data_time: 0.0357 memory: 18104 grad_norm: 4.4752 loss: 3.1757 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7967 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.3790 2023/02/02 13:45:27 - mmengine - INFO - Epoch(train) [176][1400/1879] lr: 2.8926e-02 eta: 21:27:42 time: 0.4988 data_time: 0.0313 memory: 18104 grad_norm: 4.3139 loss: 3.5399 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.0904 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.4495 2023/02/02 13:45:37 - mmengine - INFO - Epoch(train) [176][1420/1879] lr: 2.8919e-02 eta: 21:27:35 time: 0.5189 data_time: 0.0437 memory: 18104 grad_norm: 4.3062 loss: 3.4939 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.0978 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.3961 2023/02/02 13:45:48 - mmengine - INFO - Epoch(train) [176][1440/1879] lr: 2.8912e-02 eta: 21:27:29 time: 0.5227 data_time: 0.0308 memory: 18104 grad_norm: 4.3241 loss: 3.5401 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.0901 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.4500 2023/02/02 13:45:58 - mmengine - INFO - Epoch(train) [176][1460/1879] lr: 2.8906e-02 eta: 21:27:20 time: 0.5149 data_time: 0.0368 memory: 18104 grad_norm: 4.4250 loss: 3.4408 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.0421 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.3987 2023/02/02 13:46:08 - mmengine - INFO - Epoch(train) [176][1480/1879] lr: 2.8899e-02 eta: 21:27:07 time: 0.5075 data_time: 0.0293 memory: 18104 grad_norm: 4.4091 loss: 3.3325 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9470 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.3855 2023/02/02 13:46:19 - mmengine - INFO - Epoch(train) [176][1500/1879] lr: 2.8892e-02 eta: 21:27:03 time: 0.5255 data_time: 0.0341 memory: 18104 grad_norm: 4.3086 loss: 3.4637 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0099 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.4538 2023/02/02 13:46:29 - mmengine - INFO - Epoch(train) [176][1520/1879] lr: 2.8885e-02 eta: 21:26:52 time: 0.5118 data_time: 0.0311 memory: 18104 grad_norm: 4.3254 loss: 3.3799 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9263 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.4536 2023/02/02 13:46:39 - mmengine - INFO - Epoch(train) [176][1540/1879] lr: 2.8878e-02 eta: 21:26:41 time: 0.5112 data_time: 0.0355 memory: 18104 grad_norm: 4.3650 loss: 3.4523 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0046 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.4477 2023/02/02 13:46:50 - mmengine - INFO - Epoch(train) [176][1560/1879] lr: 2.8871e-02 eta: 21:26:33 time: 0.5179 data_time: 0.0309 memory: 18104 grad_norm: 4.3982 loss: 3.7776 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2468 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5308 2023/02/02 13:47:00 - mmengine - INFO - Epoch(train) [176][1580/1879] lr: 2.8865e-02 eta: 21:26:27 time: 0.5216 data_time: 0.0432 memory: 18104 grad_norm: 4.3843 loss: 3.5312 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1012 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.4299 2023/02/02 13:47:10 - mmengine - INFO - Epoch(train) [176][1600/1879] lr: 2.8858e-02 eta: 21:26:11 time: 0.4999 data_time: 0.0324 memory: 18104 grad_norm: 4.3423 loss: 3.4721 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.0114 top1_acc_1: 0.7059 top5_acc_1: 0.8118 loss_cls_1: 1.4607 2023/02/02 13:47:20 - mmengine - INFO - Epoch(train) [176][1620/1879] lr: 2.8851e-02 eta: 21:26:03 time: 0.5166 data_time: 0.0341 memory: 18104 grad_norm: 4.3181 loss: 3.2842 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.9087 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.3756 2023/02/02 13:47:31 - mmengine - INFO - Epoch(train) [176][1640/1879] lr: 2.8844e-02 eta: 21:25:54 time: 0.5168 data_time: 0.0297 memory: 18104 grad_norm: 4.4143 loss: 3.6290 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.1225 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.5065 2023/02/02 13:47:41 - mmengine - INFO - Epoch(train) [176][1660/1879] lr: 2.8837e-02 eta: 21:25:47 time: 0.5184 data_time: 0.0333 memory: 18104 grad_norm: 4.3636 loss: 3.4884 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.0910 top1_acc_1: 0.7529 top5_acc_1: 0.8588 loss_cls_1: 1.3974 2023/02/02 13:47:51 - mmengine - INFO - Epoch(train) [176][1680/1879] lr: 2.8830e-02 eta: 21:25:37 time: 0.5140 data_time: 0.0297 memory: 18104 grad_norm: 4.3606 loss: 3.4108 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9151 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.4957 2023/02/02 13:48:02 - mmengine - INFO - Epoch(train) [176][1700/1879] lr: 2.8824e-02 eta: 21:25:28 time: 0.5160 data_time: 0.0347 memory: 18104 grad_norm: 4.3108 loss: 3.5169 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0646 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.4523 2023/02/02 13:48:12 - mmengine - INFO - Epoch(train) [176][1720/1879] lr: 2.8817e-02 eta: 21:25:16 time: 0.5077 data_time: 0.0304 memory: 18104 grad_norm: 4.2436 loss: 3.5622 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1326 top1_acc_1: 0.6706 top5_acc_1: 0.7882 loss_cls_1: 1.4297 2023/02/02 13:48:22 - mmengine - INFO - Epoch(train) [176][1740/1879] lr: 2.8810e-02 eta: 21:25:08 time: 0.5178 data_time: 0.0461 memory: 18104 grad_norm: 4.2537 loss: 3.5560 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.1476 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.4085 2023/02/02 13:48:33 - mmengine - INFO - Epoch(train) [176][1760/1879] lr: 2.8803e-02 eta: 21:25:01 time: 0.5218 data_time: 0.0301 memory: 18104 grad_norm: 4.2989 loss: 3.3420 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8781 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.4638 2023/02/02 13:48:43 - mmengine - INFO - Epoch(train) [176][1780/1879] lr: 2.8796e-02 eta: 21:24:46 time: 0.4994 data_time: 0.0350 memory: 18104 grad_norm: 4.4335 loss: 3.6619 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2578 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 1.4041 2023/02/02 13:48:53 - mmengine - INFO - Epoch(train) [176][1800/1879] lr: 2.8790e-02 eta: 21:24:30 time: 0.4976 data_time: 0.0305 memory: 18104 grad_norm: 4.2437 loss: 3.6398 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.1895 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.4503 2023/02/02 13:49:03 - mmengine - INFO - Epoch(train) [176][1820/1879] lr: 2.8783e-02 eta: 21:24:26 time: 0.5278 data_time: 0.0368 memory: 18104 grad_norm: 4.2970 loss: 3.4571 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.0314 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.4258 2023/02/02 13:49:13 - mmengine - INFO - Epoch(train) [176][1840/1879] lr: 2.8776e-02 eta: 21:24:10 time: 0.5001 data_time: 0.0302 memory: 18104 grad_norm: 4.3133 loss: 3.6497 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.1953 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.4544 2023/02/02 13:49:23 - mmengine - INFO - Epoch(train) [176][1860/1879] lr: 2.8769e-02 eta: 21:23:55 time: 0.5002 data_time: 0.0370 memory: 18104 grad_norm: 4.3608 loss: 3.5190 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.0391 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.4798 2023/02/02 13:49:33 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 13:49:33 - mmengine - INFO - Epoch(train) [176][1879/1879] lr: 2.8763e-02 eta: 21:23:35 time: 0.4888 data_time: 0.0306 memory: 18104 grad_norm: 4.5564 loss: 3.5490 top1_acc_0: 0.5714 top5_acc_0: 0.8571 loss_cls_0: 2.1364 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.4126 2023/02/02 13:49:33 - mmengine - INFO - Saving checkpoint at 176 epochs 2023/02/02 13:49:45 - mmengine - INFO - Epoch(val) [176][ 20/155] eta: 0:01:04 time: 0.4814 data_time: 0.3692 memory: 1900 2023/02/02 13:49:53 - mmengine - INFO - Epoch(val) [176][ 40/155] eta: 0:00:53 time: 0.4470 data_time: 0.3352 memory: 1900 2023/02/02 13:50:02 - mmengine - INFO - Epoch(val) [176][ 60/155] eta: 0:00:42 time: 0.4209 data_time: 0.3104 memory: 1900 2023/02/02 13:50:11 - mmengine - INFO - Epoch(val) [176][ 80/155] eta: 0:00:33 time: 0.4616 data_time: 0.3507 memory: 1900 2023/02/02 13:50:20 - mmengine - INFO - Epoch(val) [176][100/155] eta: 0:00:24 time: 0.4573 data_time: 0.3448 memory: 1900 2023/02/02 13:50:30 - mmengine - INFO - Epoch(val) [176][120/155] eta: 0:00:15 time: 0.4635 data_time: 0.3527 memory: 1900 2023/02/02 13:50:38 - mmengine - INFO - Epoch(val) [176][140/155] eta: 0:00:06 time: 0.4352 data_time: 0.3243 memory: 1900 2023/02/02 13:50:46 - mmengine - INFO - Epoch(val) [176][155/155] acc/top1: 0.5867 acc/top5: 0.8198 acc/mean1: 0.5865 2023/02/02 13:50:48 - mmengine - INFO - The best checkpoint with 0.5867 acc/top1 at 176 epoch is saved to best_acc/top1_epoch_176.pth. 2023/02/02 13:51:01 - mmengine - INFO - Epoch(train) [177][ 20/1879] lr: 2.8756e-02 eta: 21:24:31 time: 0.6790 data_time: 0.2280 memory: 18104 grad_norm: 4.2037 loss: 3.1822 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.7823 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.3999 2023/02/02 13:51:11 - mmengine - INFO - Epoch(train) [177][ 40/1879] lr: 2.8749e-02 eta: 21:24:07 time: 0.4786 data_time: 0.0333 memory: 18104 grad_norm: 4.3277 loss: 3.3977 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.0046 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.3931 2023/02/02 13:51:21 - mmengine - INFO - Epoch(train) [177][ 60/1879] lr: 2.8742e-02 eta: 21:23:57 time: 0.5112 data_time: 0.0361 memory: 18104 grad_norm: 4.2760 loss: 3.5059 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1036 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.4022 2023/02/02 13:51:32 - mmengine - INFO - Epoch(train) [177][ 80/1879] lr: 2.8735e-02 eta: 21:23:50 time: 0.5225 data_time: 0.0486 memory: 18104 grad_norm: 4.3168 loss: 3.1255 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8279 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.2976 2023/02/02 13:51:42 - mmengine - INFO - Epoch(train) [177][ 100/1879] lr: 2.8729e-02 eta: 21:23:33 time: 0.4959 data_time: 0.0344 memory: 18104 grad_norm: 4.2781 loss: 3.3288 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8958 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.4330 2023/02/02 13:51:51 - mmengine - INFO - Epoch(train) [177][ 120/1879] lr: 2.8722e-02 eta: 21:23:11 time: 0.4816 data_time: 0.0319 memory: 18104 grad_norm: 4.3409 loss: 3.3722 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9876 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.3846 2023/02/02 13:52:02 - mmengine - INFO - Epoch(train) [177][ 140/1879] lr: 2.8715e-02 eta: 21:23:04 time: 0.5203 data_time: 0.0344 memory: 18104 grad_norm: 4.4393 loss: 3.6775 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.2834 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.3941 2023/02/02 13:52:12 - mmengine - INFO - Epoch(train) [177][ 160/1879] lr: 2.8708e-02 eta: 21:22:47 time: 0.4973 data_time: 0.0335 memory: 18104 grad_norm: 4.4162 loss: 3.3148 top1_acc_0: 0.1875 top5_acc_0: 0.4375 loss_cls_0: 1.8431 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.4716 2023/02/02 13:52:22 - mmengine - INFO - Epoch(train) [177][ 180/1879] lr: 2.8701e-02 eta: 21:22:37 time: 0.5127 data_time: 0.0420 memory: 18104 grad_norm: 4.2864 loss: 3.5099 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0663 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.4435 2023/02/02 13:52:32 - mmengine - INFO - Epoch(train) [177][ 200/1879] lr: 2.8694e-02 eta: 21:22:21 time: 0.4973 data_time: 0.0330 memory: 18104 grad_norm: 4.2053 loss: 3.2492 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8004 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 1.4488 2023/02/02 13:52:42 - mmengine - INFO - Epoch(train) [177][ 220/1879] lr: 2.8688e-02 eta: 21:22:12 time: 0.5169 data_time: 0.0350 memory: 18104 grad_norm: 4.2668 loss: 3.2188 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6823 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.5366 2023/02/02 13:52:52 - mmengine - INFO - Epoch(train) [177][ 240/1879] lr: 2.8681e-02 eta: 21:21:53 time: 0.4885 data_time: 0.0336 memory: 18104 grad_norm: 4.3124 loss: 3.2054 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7529 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.4525 2023/02/02 13:53:02 - mmengine - INFO - Epoch(train) [177][ 260/1879] lr: 2.8674e-02 eta: 21:21:43 time: 0.5129 data_time: 0.0352 memory: 18104 grad_norm: 4.3456 loss: 3.4482 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0048 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.4434 2023/02/02 13:53:12 - mmengine - INFO - Epoch(train) [177][ 280/1879] lr: 2.8667e-02 eta: 21:21:26 time: 0.4966 data_time: 0.0316 memory: 18104 grad_norm: 4.4016 loss: 3.1575 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 1.8654 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.2921 2023/02/02 13:53:20 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 13:53:23 - mmengine - INFO - Epoch(train) [177][ 300/1879] lr: 2.8660e-02 eta: 21:21:16 time: 0.5131 data_time: 0.0358 memory: 18104 grad_norm: 4.3428 loss: 3.3452 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.9575 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.3877 2023/02/02 13:53:33 - mmengine - INFO - Epoch(train) [177][ 320/1879] lr: 2.8654e-02 eta: 21:21:06 time: 0.5130 data_time: 0.0328 memory: 18104 grad_norm: 4.3266 loss: 3.2846 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.9218 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.3628 2023/02/02 13:53:43 - mmengine - INFO - Epoch(train) [177][ 340/1879] lr: 2.8647e-02 eta: 21:20:49 time: 0.4933 data_time: 0.0416 memory: 18104 grad_norm: 4.4134 loss: 3.5209 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1031 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.4178 2023/02/02 13:53:53 - mmengine - INFO - Epoch(train) [177][ 360/1879] lr: 2.8640e-02 eta: 21:20:32 time: 0.4961 data_time: 0.0335 memory: 18104 grad_norm: 4.3364 loss: 3.6814 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.2389 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.4425 2023/02/02 13:54:03 - mmengine - INFO - Epoch(train) [177][ 380/1879] lr: 2.8633e-02 eta: 21:20:18 time: 0.5006 data_time: 0.0342 memory: 18104 grad_norm: 4.3580 loss: 3.7092 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2167 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.4925 2023/02/02 13:54:13 - mmengine - INFO - Epoch(train) [177][ 400/1879] lr: 2.8626e-02 eta: 21:20:02 time: 0.4991 data_time: 0.0415 memory: 18104 grad_norm: 4.2462 loss: 3.4297 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.0000 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.4297 2023/02/02 13:54:23 - mmengine - INFO - Epoch(train) [177][ 420/1879] lr: 2.8620e-02 eta: 21:19:46 time: 0.4958 data_time: 0.0352 memory: 18104 grad_norm: 4.3119 loss: 3.5326 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1672 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.3655 2023/02/02 13:54:33 - mmengine - INFO - Epoch(train) [177][ 440/1879] lr: 2.8613e-02 eta: 21:19:30 time: 0.4967 data_time: 0.0344 memory: 18104 grad_norm: 4.3304 loss: 3.4050 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.0303 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.3747 2023/02/02 13:54:43 - mmengine - INFO - Epoch(train) [177][ 460/1879] lr: 2.8606e-02 eta: 21:19:17 time: 0.5048 data_time: 0.0339 memory: 18104 grad_norm: 4.4714 loss: 3.1739 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7971 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.3769 2023/02/02 13:54:53 - mmengine - INFO - Epoch(train) [177][ 480/1879] lr: 2.8599e-02 eta: 21:19:02 time: 0.5003 data_time: 0.0340 memory: 18104 grad_norm: 4.3787 loss: 3.4673 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0457 top1_acc_1: 0.7529 top5_acc_1: 0.8588 loss_cls_1: 1.4216 2023/02/02 13:55:03 - mmengine - INFO - Epoch(train) [177][ 500/1879] lr: 2.8592e-02 eta: 21:18:46 time: 0.4951 data_time: 0.0337 memory: 18104 grad_norm: 4.3981 loss: 3.3429 top1_acc_0: 0.1875 top5_acc_0: 0.5625 loss_cls_0: 1.9197 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.4232 2023/02/02 13:55:13 - mmengine - INFO - Epoch(train) [177][ 520/1879] lr: 2.8585e-02 eta: 21:18:31 time: 0.5002 data_time: 0.0328 memory: 18104 grad_norm: 4.3896 loss: 3.4884 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.0404 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4481 2023/02/02 13:55:23 - mmengine - INFO - Epoch(train) [177][ 540/1879] lr: 2.8579e-02 eta: 21:18:13 time: 0.4904 data_time: 0.0345 memory: 18104 grad_norm: 4.3025 loss: 3.1083 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7237 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.3846 2023/02/02 13:55:32 - mmengine - INFO - Epoch(train) [177][ 560/1879] lr: 2.8572e-02 eta: 21:17:54 time: 0.4885 data_time: 0.0416 memory: 18104 grad_norm: 4.3415 loss: 3.2550 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.8095 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.4455 2023/02/02 13:55:42 - mmengine - INFO - Epoch(train) [177][ 580/1879] lr: 2.8565e-02 eta: 21:17:40 time: 0.5027 data_time: 0.0350 memory: 18104 grad_norm: 4.3393 loss: 3.1953 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8780 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.3173 2023/02/02 13:55:52 - mmengine - INFO - Epoch(train) [177][ 600/1879] lr: 2.8558e-02 eta: 21:17:25 time: 0.5006 data_time: 0.0341 memory: 18104 grad_norm: 4.3579 loss: 3.4586 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0356 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.4230 2023/02/02 13:56:02 - mmengine - INFO - Epoch(train) [177][ 620/1879] lr: 2.8551e-02 eta: 21:17:05 time: 0.4845 data_time: 0.0369 memory: 18104 grad_norm: 4.3879 loss: 3.4419 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.0263 top1_acc_1: 0.6706 top5_acc_1: 0.9294 loss_cls_1: 1.4156 2023/02/02 13:56:12 - mmengine - INFO - Epoch(train) [177][ 640/1879] lr: 2.8545e-02 eta: 21:16:48 time: 0.4926 data_time: 0.0348 memory: 18104 grad_norm: 4.3767 loss: 3.4416 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9895 top1_acc_1: 0.6353 top5_acc_1: 0.9294 loss_cls_1: 1.4521 2023/02/02 13:56:23 - mmengine - INFO - Epoch(train) [177][ 660/1879] lr: 2.8538e-02 eta: 21:16:43 time: 0.5271 data_time: 0.0338 memory: 18104 grad_norm: 4.3150 loss: 3.3677 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.9974 top1_acc_1: 0.6824 top5_acc_1: 0.8118 loss_cls_1: 1.3703 2023/02/02 13:56:32 - mmengine - INFO - Epoch(train) [177][ 680/1879] lr: 2.8531e-02 eta: 21:16:22 time: 0.4830 data_time: 0.0337 memory: 18104 grad_norm: 4.3533 loss: 3.4842 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0745 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.4098 2023/02/02 13:56:42 - mmengine - INFO - Epoch(train) [177][ 700/1879] lr: 2.8524e-02 eta: 21:16:05 time: 0.4915 data_time: 0.0348 memory: 18104 grad_norm: 4.4741 loss: 3.1635 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8004 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.3631 2023/02/02 13:56:52 - mmengine - INFO - Epoch(train) [177][ 720/1879] lr: 2.8517e-02 eta: 21:15:47 time: 0.4921 data_time: 0.0416 memory: 18104 grad_norm: 4.4010 loss: 3.3288 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8257 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.5031 2023/02/02 13:57:02 - mmengine - INFO - Epoch(train) [177][ 740/1879] lr: 2.8511e-02 eta: 21:15:35 time: 0.5060 data_time: 0.0347 memory: 18104 grad_norm: 4.3972 loss: 3.4910 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0681 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.4229 2023/02/02 13:57:12 - mmengine - INFO - Epoch(train) [177][ 760/1879] lr: 2.8504e-02 eta: 21:15:18 time: 0.4937 data_time: 0.0340 memory: 18104 grad_norm: 4.3439 loss: 3.3999 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9210 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.4790 2023/02/02 13:57:22 - mmengine - INFO - Epoch(train) [177][ 780/1879] lr: 2.8497e-02 eta: 21:15:02 time: 0.4936 data_time: 0.0332 memory: 18104 grad_norm: 4.3001 loss: 3.5828 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1024 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.4804 2023/02/02 13:57:32 - mmengine - INFO - Epoch(train) [177][ 800/1879] lr: 2.8490e-02 eta: 21:14:54 time: 0.5193 data_time: 0.0447 memory: 18104 grad_norm: 4.3410 loss: 3.4487 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0131 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.4356 2023/02/02 13:57:42 - mmengine - INFO - Epoch(train) [177][ 820/1879] lr: 2.8483e-02 eta: 21:14:40 time: 0.5017 data_time: 0.0354 memory: 18104 grad_norm: 4.3548 loss: 3.5574 top1_acc_0: 0.2500 top5_acc_0: 0.9375 loss_cls_0: 2.0776 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.4798 2023/02/02 13:57:52 - mmengine - INFO - Epoch(train) [177][ 840/1879] lr: 2.8477e-02 eta: 21:14:23 time: 0.4916 data_time: 0.0344 memory: 18104 grad_norm: 4.4006 loss: 3.3172 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.8507 top1_acc_1: 0.6118 top5_acc_1: 0.9176 loss_cls_1: 1.4665 2023/02/02 13:58:03 - mmengine - INFO - Epoch(train) [177][ 860/1879] lr: 2.8470e-02 eta: 21:14:18 time: 0.5260 data_time: 0.0396 memory: 18104 grad_norm: 4.3371 loss: 3.3923 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 1.9711 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.4212 2023/02/02 13:58:13 - mmengine - INFO - Epoch(train) [177][ 880/1879] lr: 2.8463e-02 eta: 21:14:03 time: 0.4984 data_time: 0.0337 memory: 18104 grad_norm: 4.3586 loss: 3.5208 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1053 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.4155 2023/02/02 13:58:23 - mmengine - INFO - Epoch(train) [177][ 900/1879] lr: 2.8456e-02 eta: 21:13:52 time: 0.5083 data_time: 0.0322 memory: 18104 grad_norm: 4.3044 loss: 3.4903 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1287 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.3616 2023/02/02 13:58:33 - mmengine - INFO - Epoch(train) [177][ 920/1879] lr: 2.8449e-02 eta: 21:13:40 time: 0.5073 data_time: 0.0406 memory: 18104 grad_norm: 4.3580 loss: 3.6489 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.1993 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.4495 2023/02/02 13:58:43 - mmengine - INFO - Epoch(train) [177][ 940/1879] lr: 2.8443e-02 eta: 21:13:32 time: 0.5183 data_time: 0.0353 memory: 18104 grad_norm: 4.3175 loss: 3.4486 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0276 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.4210 2023/02/02 13:58:53 - mmengine - INFO - Epoch(train) [177][ 960/1879] lr: 2.8436e-02 eta: 21:13:17 time: 0.4970 data_time: 0.0319 memory: 18104 grad_norm: 4.5280 loss: 3.3992 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.9728 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4264 2023/02/02 13:59:04 - mmengine - INFO - Epoch(train) [177][ 980/1879] lr: 2.8429e-02 eta: 21:13:06 time: 0.5086 data_time: 0.0372 memory: 18104 grad_norm: 4.4074 loss: 3.4684 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.0580 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.4104 2023/02/02 13:59:14 - mmengine - INFO - Epoch(train) [177][1000/1879] lr: 2.8422e-02 eta: 21:13:00 time: 0.5253 data_time: 0.0374 memory: 18104 grad_norm: 4.3378 loss: 3.6035 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1892 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.4143 2023/02/02 13:59:24 - mmengine - INFO - Epoch(train) [177][1020/1879] lr: 2.8416e-02 eta: 21:12:46 time: 0.4996 data_time: 0.0363 memory: 18104 grad_norm: 4.3320 loss: 3.5666 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0581 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.5086 2023/02/02 13:59:34 - mmengine - INFO - Epoch(train) [177][1040/1879] lr: 2.8409e-02 eta: 21:12:33 time: 0.5053 data_time: 0.0314 memory: 18104 grad_norm: 4.3240 loss: 3.3973 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0122 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.3851 2023/02/02 13:59:45 - mmengine - INFO - Epoch(train) [177][1060/1879] lr: 2.8402e-02 eta: 21:12:24 time: 0.5126 data_time: 0.0446 memory: 18104 grad_norm: 4.3664 loss: 3.4168 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9723 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.4445 2023/02/02 13:59:55 - mmengine - INFO - Epoch(train) [177][1080/1879] lr: 2.8395e-02 eta: 21:12:19 time: 0.5276 data_time: 0.0328 memory: 18104 grad_norm: 4.4113 loss: 3.3883 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.0288 top1_acc_1: 0.8000 top5_acc_1: 0.8824 loss_cls_1: 1.3595 2023/02/02 14:00:05 - mmengine - INFO - Epoch(train) [177][1100/1879] lr: 2.8388e-02 eta: 21:12:04 time: 0.4989 data_time: 0.0379 memory: 18104 grad_norm: 4.4162 loss: 3.2709 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8691 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.4018 2023/02/02 14:00:15 - mmengine - INFO - Epoch(train) [177][1120/1879] lr: 2.8382e-02 eta: 21:11:55 time: 0.5138 data_time: 0.0306 memory: 18104 grad_norm: 4.4291 loss: 3.5262 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0903 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.4359 2023/02/02 14:00:26 - mmengine - INFO - Epoch(train) [177][1140/1879] lr: 2.8375e-02 eta: 21:11:48 time: 0.5201 data_time: 0.0377 memory: 18104 grad_norm: 4.4109 loss: 3.5131 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.0268 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.4863 2023/02/02 14:00:36 - mmengine - INFO - Epoch(train) [177][1160/1879] lr: 2.8368e-02 eta: 21:11:40 time: 0.5205 data_time: 0.0304 memory: 18104 grad_norm: 4.3981 loss: 3.6284 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1113 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.5172 2023/02/02 14:00:46 - mmengine - INFO - Epoch(train) [177][1180/1879] lr: 2.8361e-02 eta: 21:11:26 time: 0.4993 data_time: 0.0347 memory: 18104 grad_norm: 4.3403 loss: 3.4978 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0453 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.4526 2023/02/02 14:00:57 - mmengine - INFO - Epoch(train) [177][1200/1879] lr: 2.8354e-02 eta: 21:11:17 time: 0.5161 data_time: 0.0385 memory: 18104 grad_norm: 4.3764 loss: 3.4415 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9671 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.4744 2023/02/02 14:01:07 - mmengine - INFO - Epoch(train) [177][1220/1879] lr: 2.8348e-02 eta: 21:11:13 time: 0.5301 data_time: 0.0363 memory: 18104 grad_norm: 4.3535 loss: 3.6176 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1205 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.4971 2023/02/02 14:01:17 - mmengine - INFO - Epoch(train) [177][1240/1879] lr: 2.8341e-02 eta: 21:11:01 time: 0.5039 data_time: 0.0327 memory: 18104 grad_norm: 4.3709 loss: 3.4358 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9565 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.4793 2023/02/02 14:01:27 - mmengine - INFO - Epoch(train) [177][1260/1879] lr: 2.8334e-02 eta: 21:10:47 time: 0.5022 data_time: 0.0352 memory: 18104 grad_norm: 4.3877 loss: 3.3179 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.9218 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.3961 2023/02/02 14:01:38 - mmengine - INFO - Epoch(train) [177][1280/1879] lr: 2.8327e-02 eta: 21:10:46 time: 0.5373 data_time: 0.0441 memory: 18104 grad_norm: 4.4165 loss: 3.5011 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.0431 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.4580 2023/02/02 14:01:46 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 14:01:48 - mmengine - INFO - Epoch(train) [177][1300/1879] lr: 2.8320e-02 eta: 21:10:29 time: 0.4933 data_time: 0.0321 memory: 18104 grad_norm: 4.4186 loss: 3.5453 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.0803 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.4650 2023/02/02 14:01:58 - mmengine - INFO - Epoch(train) [177][1320/1879] lr: 2.8314e-02 eta: 21:10:15 time: 0.5007 data_time: 0.0409 memory: 18104 grad_norm: 4.3828 loss: 3.6375 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1435 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.4939 2023/02/02 14:02:08 - mmengine - INFO - Epoch(train) [177][1340/1879] lr: 2.8307e-02 eta: 21:10:02 time: 0.5021 data_time: 0.0389 memory: 18104 grad_norm: 4.5023 loss: 3.5930 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0958 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.4972 2023/02/02 14:02:19 - mmengine - INFO - Epoch(train) [177][1360/1879] lr: 2.8300e-02 eta: 21:09:54 time: 0.5190 data_time: 0.0410 memory: 18104 grad_norm: 4.3593 loss: 3.4180 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 1.9601 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.4579 2023/02/02 14:02:28 - mmengine - INFO - Epoch(train) [177][1380/1879] lr: 2.8293e-02 eta: 21:09:35 time: 0.4851 data_time: 0.0302 memory: 18104 grad_norm: 4.3732 loss: 3.3457 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.9023 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.4434 2023/02/02 14:02:38 - mmengine - INFO - Epoch(train) [177][1400/1879] lr: 2.8287e-02 eta: 21:09:24 time: 0.5095 data_time: 0.0469 memory: 18104 grad_norm: 4.2955 loss: 3.3961 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8795 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.5166 2023/02/02 14:02:49 - mmengine - INFO - Epoch(train) [177][1420/1879] lr: 2.8280e-02 eta: 21:09:15 time: 0.5130 data_time: 0.0313 memory: 18104 grad_norm: 4.4326 loss: 3.4777 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0213 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.4564 2023/02/02 14:02:59 - mmengine - INFO - Epoch(train) [177][1440/1879] lr: 2.8273e-02 eta: 21:09:02 time: 0.5033 data_time: 0.0393 memory: 18104 grad_norm: 4.4189 loss: 3.6129 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1716 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.4412 2023/02/02 14:03:09 - mmengine - INFO - Epoch(train) [177][1460/1879] lr: 2.8266e-02 eta: 21:08:47 time: 0.4967 data_time: 0.0412 memory: 18104 grad_norm: 4.4119 loss: 3.5937 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0246 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.5692 2023/02/02 14:03:19 - mmengine - INFO - Epoch(train) [177][1480/1879] lr: 2.8259e-02 eta: 21:08:35 time: 0.5063 data_time: 0.0336 memory: 18104 grad_norm: 4.4268 loss: 3.6586 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1766 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.4820 2023/02/02 14:03:29 - mmengine - INFO - Epoch(train) [177][1500/1879] lr: 2.8253e-02 eta: 21:08:23 time: 0.5073 data_time: 0.0370 memory: 18104 grad_norm: 4.3658 loss: 3.4072 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 1.9737 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.4335 2023/02/02 14:03:39 - mmengine - INFO - Epoch(train) [177][1520/1879] lr: 2.8246e-02 eta: 21:08:08 time: 0.4953 data_time: 0.0358 memory: 18104 grad_norm: 4.3606 loss: 3.3602 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.8733 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.4869 2023/02/02 14:03:49 - mmengine - INFO - Epoch(train) [177][1540/1879] lr: 2.8239e-02 eta: 21:07:55 time: 0.5030 data_time: 0.0355 memory: 18104 grad_norm: 4.3988 loss: 3.4293 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0448 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.3845 2023/02/02 14:04:00 - mmengine - INFO - Epoch(train) [177][1560/1879] lr: 2.8232e-02 eta: 21:07:47 time: 0.5203 data_time: 0.0342 memory: 18104 grad_norm: 4.4033 loss: 3.4925 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9106 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.5819 2023/02/02 14:04:10 - mmengine - INFO - Epoch(train) [177][1580/1879] lr: 2.8225e-02 eta: 21:07:35 time: 0.5040 data_time: 0.0359 memory: 18104 grad_norm: 4.3683 loss: 3.4464 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.0295 top1_acc_1: 0.6706 top5_acc_1: 0.8000 loss_cls_1: 1.4170 2023/02/02 14:04:20 - mmengine - INFO - Epoch(train) [177][1600/1879] lr: 2.8219e-02 eta: 21:07:22 time: 0.5023 data_time: 0.0394 memory: 18104 grad_norm: 4.3425 loss: 3.5042 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.0106 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.4936 2023/02/02 14:04:30 - mmengine - INFO - Epoch(train) [177][1620/1879] lr: 2.8212e-02 eta: 21:07:12 time: 0.5124 data_time: 0.0361 memory: 18104 grad_norm: 4.3249 loss: 3.4109 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9481 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.4628 2023/02/02 14:04:40 - mmengine - INFO - Epoch(train) [177][1640/1879] lr: 2.8205e-02 eta: 21:07:04 time: 0.5195 data_time: 0.0349 memory: 18104 grad_norm: 4.3783 loss: 3.4986 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.0686 top1_acc_1: 0.7294 top5_acc_1: 0.8353 loss_cls_1: 1.4300 2023/02/02 14:04:51 - mmengine - INFO - Epoch(train) [177][1660/1879] lr: 2.8198e-02 eta: 21:06:56 time: 0.5178 data_time: 0.0423 memory: 18104 grad_norm: 4.4292 loss: 3.5597 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 2.0779 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.4817 2023/02/02 14:05:01 - mmengine - INFO - Epoch(train) [177][1680/1879] lr: 2.8192e-02 eta: 21:06:43 time: 0.5020 data_time: 0.0330 memory: 18104 grad_norm: 4.3537 loss: 3.3231 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.9073 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.4158 2023/02/02 14:05:11 - mmengine - INFO - Epoch(train) [177][1700/1879] lr: 2.8185e-02 eta: 21:06:36 time: 0.5214 data_time: 0.0342 memory: 18104 grad_norm: 4.4086 loss: 3.4682 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1118 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.3564 2023/02/02 14:05:21 - mmengine - INFO - Epoch(train) [177][1720/1879] lr: 2.8178e-02 eta: 21:06:24 time: 0.5078 data_time: 0.0431 memory: 18104 grad_norm: 4.3640 loss: 3.2733 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.8641 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.4091 2023/02/02 14:05:32 - mmengine - INFO - Epoch(train) [177][1740/1879] lr: 2.8171e-02 eta: 21:06:13 time: 0.5073 data_time: 0.0342 memory: 18104 grad_norm: 4.3776 loss: 3.6685 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.1423 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.5262 2023/02/02 14:05:42 - mmengine - INFO - Epoch(train) [177][1760/1879] lr: 2.8164e-02 eta: 21:05:58 time: 0.4960 data_time: 0.0348 memory: 18104 grad_norm: 4.4347 loss: 3.5646 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.0769 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.4877 2023/02/02 14:05:52 - mmengine - INFO - Epoch(train) [177][1780/1879] lr: 2.8158e-02 eta: 21:05:47 time: 0.5094 data_time: 0.0332 memory: 18104 grad_norm: 4.3748 loss: 3.5229 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0699 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.4530 2023/02/02 14:06:02 - mmengine - INFO - Epoch(train) [177][1800/1879] lr: 2.8151e-02 eta: 21:05:35 time: 0.5058 data_time: 0.0425 memory: 18104 grad_norm: 4.4295 loss: 3.3641 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9454 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.4187 2023/02/02 14:06:12 - mmengine - INFO - Epoch(train) [177][1820/1879] lr: 2.8144e-02 eta: 21:05:24 time: 0.5095 data_time: 0.0343 memory: 18104 grad_norm: 4.2873 loss: 3.2968 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8113 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.4855 2023/02/02 14:06:22 - mmengine - INFO - Epoch(train) [177][1840/1879] lr: 2.8137e-02 eta: 21:05:13 time: 0.5070 data_time: 0.0337 memory: 18104 grad_norm: 4.4224 loss: 3.6091 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.2652 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.3439 2023/02/02 14:06:32 - mmengine - INFO - Epoch(train) [177][1860/1879] lr: 2.8131e-02 eta: 21:05:00 time: 0.5049 data_time: 0.0430 memory: 18104 grad_norm: 4.3942 loss: 3.5371 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1225 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.4146 2023/02/02 14:06:41 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 14:06:41 - mmengine - INFO - Epoch(train) [177][1879/1879] lr: 2.8124e-02 eta: 21:04:39 time: 0.4708 data_time: 0.0308 memory: 18104 grad_norm: 4.4563 loss: 3.5249 top1_acc_0: 0.4286 top5_acc_0: 0.8571 loss_cls_0: 2.0747 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.4502 2023/02/02 14:06:57 - mmengine - INFO - Epoch(train) [178][ 20/1879] lr: 2.8117e-02 eta: 21:05:36 time: 0.7262 data_time: 0.2686 memory: 18104 grad_norm: 4.2764 loss: 3.4942 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1251 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.3691 2023/02/02 14:07:06 - mmengine - INFO - Epoch(train) [178][ 40/1879] lr: 2.8111e-02 eta: 21:05:15 time: 0.4776 data_time: 0.0340 memory: 18104 grad_norm: 4.2650 loss: 3.3782 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9169 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.4613 2023/02/02 14:07:16 - mmengine - INFO - Epoch(train) [178][ 60/1879] lr: 2.8104e-02 eta: 21:04:59 time: 0.4904 data_time: 0.0337 memory: 18104 grad_norm: 4.2904 loss: 3.4646 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 1.9923 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.4723 2023/02/02 14:07:26 - mmengine - INFO - Epoch(train) [178][ 80/1879] lr: 2.8097e-02 eta: 21:04:45 time: 0.5018 data_time: 0.0424 memory: 18104 grad_norm: 4.2988 loss: 3.3420 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9145 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.4275 2023/02/02 14:07:36 - mmengine - INFO - Epoch(train) [178][ 100/1879] lr: 2.8090e-02 eta: 21:04:30 time: 0.4954 data_time: 0.0344 memory: 18104 grad_norm: 4.4736 loss: 3.4792 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.1327 top1_acc_1: 0.6588 top5_acc_1: 0.9176 loss_cls_1: 1.3465 2023/02/02 14:07:45 - mmengine - INFO - Epoch(train) [178][ 120/1879] lr: 2.8084e-02 eta: 21:04:07 time: 0.4705 data_time: 0.0330 memory: 18104 grad_norm: 4.4250 loss: 3.5942 top1_acc_0: 0.2500 top5_acc_0: 0.3750 loss_cls_0: 2.1932 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4010 2023/02/02 14:07:56 - mmengine - INFO - Epoch(train) [178][ 140/1879] lr: 2.8077e-02 eta: 21:04:01 time: 0.5254 data_time: 0.0349 memory: 18104 grad_norm: 4.2468 loss: 3.1512 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.7874 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.3638 2023/02/02 14:08:06 - mmengine - INFO - Epoch(train) [178][ 160/1879] lr: 2.8070e-02 eta: 21:03:41 time: 0.4789 data_time: 0.0328 memory: 18104 grad_norm: 4.3286 loss: 3.3104 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.8955 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.4150 2023/02/02 14:08:15 - mmengine - INFO - Epoch(train) [178][ 180/1879] lr: 2.8063e-02 eta: 21:03:25 time: 0.4929 data_time: 0.0389 memory: 18104 grad_norm: 4.3318 loss: 3.3892 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.9459 top1_acc_1: 0.6235 top5_acc_1: 0.8941 loss_cls_1: 1.4433 2023/02/02 14:08:25 - mmengine - INFO - Epoch(train) [178][ 200/1879] lr: 2.8056e-02 eta: 21:03:03 time: 0.4731 data_time: 0.0271 memory: 18104 grad_norm: 4.3529 loss: 3.3995 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 1.9612 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.4382 2023/02/02 14:08:35 - mmengine - INFO - Epoch(train) [178][ 220/1879] lr: 2.8050e-02 eta: 21:02:57 time: 0.5260 data_time: 0.0436 memory: 18104 grad_norm: 4.4514 loss: 3.5001 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.0709 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.4292 2023/02/02 14:08:45 - mmengine - INFO - Epoch(train) [178][ 240/1879] lr: 2.8043e-02 eta: 21:02:37 time: 0.4802 data_time: 0.0324 memory: 18104 grad_norm: 4.3036 loss: 3.3294 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9863 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.3430 2023/02/02 14:08:55 - mmengine - INFO - Epoch(train) [178][ 260/1879] lr: 2.8036e-02 eta: 21:02:23 time: 0.4984 data_time: 0.0389 memory: 18104 grad_norm: 4.4196 loss: 3.5299 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0836 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.4463 2023/02/02 14:09:05 - mmengine - INFO - Epoch(train) [178][ 280/1879] lr: 2.8029e-02 eta: 21:02:12 time: 0.5078 data_time: 0.0398 memory: 18104 grad_norm: 4.3543 loss: 3.6018 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2124 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.3894 2023/02/02 14:09:15 - mmengine - INFO - Epoch(train) [178][ 300/1879] lr: 2.8023e-02 eta: 21:02:00 time: 0.5065 data_time: 0.0363 memory: 18104 grad_norm: 4.3423 loss: 3.4963 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9854 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.5109 2023/02/02 14:09:25 - mmengine - INFO - Epoch(train) [178][ 320/1879] lr: 2.8016e-02 eta: 21:01:40 time: 0.4769 data_time: 0.0308 memory: 18104 grad_norm: 4.4666 loss: 3.5999 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1902 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.4097 2023/02/02 14:09:36 - mmengine - INFO - Epoch(train) [178][ 340/1879] lr: 2.8009e-02 eta: 21:01:37 time: 0.5356 data_time: 0.0572 memory: 18104 grad_norm: 4.2864 loss: 3.4989 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1222 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.3768 2023/02/02 14:09:46 - mmengine - INFO - Epoch(train) [178][ 360/1879] lr: 2.8002e-02 eta: 21:01:24 time: 0.5020 data_time: 0.0291 memory: 18104 grad_norm: 4.3977 loss: 3.4834 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9544 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.5290 2023/02/02 14:09:56 - mmengine - INFO - Epoch(train) [178][ 380/1879] lr: 2.7996e-02 eta: 21:01:10 time: 0.4973 data_time: 0.0356 memory: 18104 grad_norm: 4.3700 loss: 3.5907 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1558 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.4348 2023/02/02 14:10:06 - mmengine - INFO - Epoch(train) [178][ 400/1879] lr: 2.7989e-02 eta: 21:00:55 time: 0.4960 data_time: 0.0382 memory: 18104 grad_norm: 4.3318 loss: 3.5954 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1143 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.4811 2023/02/02 14:10:14 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 14:10:16 - mmengine - INFO - Epoch(train) [178][ 420/1879] lr: 2.7982e-02 eta: 21:00:43 time: 0.5056 data_time: 0.0381 memory: 18104 grad_norm: 4.2963 loss: 3.3308 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8791 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.4518 2023/02/02 14:10:25 - mmengine - INFO - Epoch(train) [178][ 440/1879] lr: 2.7975e-02 eta: 21:00:25 time: 0.4855 data_time: 0.0308 memory: 18104 grad_norm: 4.4407 loss: 3.5244 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0482 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.4762 2023/02/02 14:10:36 - mmengine - INFO - Epoch(train) [178][ 460/1879] lr: 2.7969e-02 eta: 21:00:16 time: 0.5166 data_time: 0.0425 memory: 18104 grad_norm: 4.3580 loss: 3.2179 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7804 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.4375 2023/02/02 14:10:45 - mmengine - INFO - Epoch(train) [178][ 480/1879] lr: 2.7962e-02 eta: 20:59:57 time: 0.4810 data_time: 0.0292 memory: 18104 grad_norm: 4.3907 loss: 3.5925 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.1343 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.4582 2023/02/02 14:10:56 - mmengine - INFO - Epoch(train) [178][ 500/1879] lr: 2.7955e-02 eta: 20:59:50 time: 0.5206 data_time: 0.0361 memory: 18104 grad_norm: 4.3788 loss: 3.3067 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9256 top1_acc_1: 0.6118 top5_acc_1: 0.9176 loss_cls_1: 1.3811 2023/02/02 14:11:06 - mmengine - INFO - Epoch(train) [178][ 520/1879] lr: 2.7948e-02 eta: 20:59:32 time: 0.4851 data_time: 0.0318 memory: 18104 grad_norm: 4.3238 loss: 3.6069 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1578 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.4492 2023/02/02 14:11:16 - mmengine - INFO - Epoch(train) [178][ 540/1879] lr: 2.7942e-02 eta: 20:59:22 time: 0.5115 data_time: 0.0322 memory: 18104 grad_norm: 4.4009 loss: 3.6359 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1536 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.4823 2023/02/02 14:11:26 - mmengine - INFO - Epoch(train) [178][ 560/1879] lr: 2.7935e-02 eta: 20:59:07 time: 0.4950 data_time: 0.0350 memory: 18104 grad_norm: 4.4240 loss: 3.3206 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8945 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.4261 2023/02/02 14:11:36 - mmengine - INFO - Epoch(train) [178][ 580/1879] lr: 2.7928e-02 eta: 20:58:56 time: 0.5078 data_time: 0.0316 memory: 18104 grad_norm: 4.4095 loss: 3.2541 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8770 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.3772 2023/02/02 14:11:46 - mmengine - INFO - Epoch(train) [178][ 600/1879] lr: 2.7921e-02 eta: 20:58:43 time: 0.5004 data_time: 0.0430 memory: 18104 grad_norm: 4.3409 loss: 3.2348 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8152 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.4196 2023/02/02 14:11:56 - mmengine - INFO - Epoch(train) [178][ 620/1879] lr: 2.7914e-02 eta: 20:58:31 time: 0.5068 data_time: 0.0318 memory: 18104 grad_norm: 4.4509 loss: 3.6137 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.1746 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.4392 2023/02/02 14:12:06 - mmengine - INFO - Epoch(train) [178][ 640/1879] lr: 2.7908e-02 eta: 20:58:19 time: 0.5051 data_time: 0.0352 memory: 18104 grad_norm: 4.3852 loss: 3.4990 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0665 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.4325 2023/02/02 14:12:16 - mmengine - INFO - Epoch(train) [178][ 660/1879] lr: 2.7901e-02 eta: 20:58:07 time: 0.5054 data_time: 0.0378 memory: 18104 grad_norm: 4.2825 loss: 3.1315 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7133 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.4181 2023/02/02 14:12:26 - mmengine - INFO - Epoch(train) [178][ 680/1879] lr: 2.7894e-02 eta: 20:57:54 time: 0.4980 data_time: 0.0341 memory: 18104 grad_norm: 4.4471 loss: 3.3579 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9420 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.4159 2023/02/02 14:12:36 - mmengine - INFO - Epoch(train) [178][ 700/1879] lr: 2.7887e-02 eta: 20:57:40 time: 0.4998 data_time: 0.0320 memory: 18104 grad_norm: 4.3285 loss: 3.4492 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0134 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.4357 2023/02/02 14:12:46 - mmengine - INFO - Epoch(train) [178][ 720/1879] lr: 2.7881e-02 eta: 20:57:27 time: 0.5013 data_time: 0.0326 memory: 18104 grad_norm: 4.3778 loss: 3.5605 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1380 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.4225 2023/02/02 14:12:57 - mmengine - INFO - Epoch(train) [178][ 740/1879] lr: 2.7874e-02 eta: 20:57:19 time: 0.5193 data_time: 0.0396 memory: 18104 grad_norm: 4.3965 loss: 3.4659 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0025 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.4634 2023/02/02 14:13:07 - mmengine - INFO - Epoch(train) [178][ 760/1879] lr: 2.7867e-02 eta: 20:57:07 time: 0.5035 data_time: 0.0335 memory: 18104 grad_norm: 4.4603 loss: 3.4760 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 1.9423 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.5337 2023/02/02 14:13:17 - mmengine - INFO - Epoch(train) [178][ 780/1879] lr: 2.7860e-02 eta: 20:56:58 time: 0.5151 data_time: 0.0317 memory: 18104 grad_norm: 4.3944 loss: 3.3126 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8478 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.4648 2023/02/02 14:13:27 - mmengine - INFO - Epoch(train) [178][ 800/1879] lr: 2.7854e-02 eta: 20:56:46 time: 0.5048 data_time: 0.0392 memory: 18104 grad_norm: 4.4446 loss: 3.4531 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.0440 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.4091 2023/02/02 14:13:38 - mmengine - INFO - Epoch(train) [178][ 820/1879] lr: 2.7847e-02 eta: 20:56:37 time: 0.5153 data_time: 0.0317 memory: 18104 grad_norm: 4.4337 loss: 3.3493 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9401 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.4092 2023/02/02 14:13:48 - mmengine - INFO - Epoch(train) [178][ 840/1879] lr: 2.7840e-02 eta: 20:56:27 time: 0.5118 data_time: 0.0346 memory: 18104 grad_norm: 4.4175 loss: 3.5558 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.1079 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.4479 2023/02/02 14:13:58 - mmengine - INFO - Epoch(train) [178][ 860/1879] lr: 2.7833e-02 eta: 20:56:21 time: 0.5247 data_time: 0.0369 memory: 18104 grad_norm: 4.4202 loss: 3.3938 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.0042 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.3896 2023/02/02 14:14:09 - mmengine - INFO - Epoch(train) [178][ 880/1879] lr: 2.7827e-02 eta: 20:56:09 time: 0.5058 data_time: 0.0366 memory: 18104 grad_norm: 4.4194 loss: 3.2915 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.8826 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.4089 2023/02/02 14:14:19 - mmengine - INFO - Epoch(train) [178][ 900/1879] lr: 2.7820e-02 eta: 20:56:03 time: 0.5247 data_time: 0.0290 memory: 18104 grad_norm: 4.5807 loss: 3.4022 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.0039 top1_acc_1: 0.6588 top5_acc_1: 0.9529 loss_cls_1: 1.3983 2023/02/02 14:14:29 - mmengine - INFO - Epoch(train) [178][ 920/1879] lr: 2.7813e-02 eta: 20:55:55 time: 0.5177 data_time: 0.0443 memory: 18104 grad_norm: 4.4916 loss: 3.5107 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.1361 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.3746 2023/02/02 14:14:40 - mmengine - INFO - Epoch(train) [178][ 940/1879] lr: 2.7806e-02 eta: 20:55:48 time: 0.5224 data_time: 0.0283 memory: 18104 grad_norm: 4.3538 loss: 3.3690 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9430 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.4260 2023/02/02 14:14:50 - mmengine - INFO - Epoch(train) [178][ 960/1879] lr: 2.7800e-02 eta: 20:55:41 time: 0.5202 data_time: 0.0381 memory: 18104 grad_norm: 4.4856 loss: 3.4004 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9991 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.4013 2023/02/02 14:15:01 - mmengine - INFO - Epoch(train) [178][ 980/1879] lr: 2.7793e-02 eta: 20:55:35 time: 0.5264 data_time: 0.0289 memory: 18104 grad_norm: 4.4266 loss: 3.5862 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1148 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4714 2023/02/02 14:15:11 - mmengine - INFO - Epoch(train) [178][1000/1879] lr: 2.7786e-02 eta: 20:55:25 time: 0.5109 data_time: 0.0453 memory: 18104 grad_norm: 4.4047 loss: 3.5059 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0322 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.4737 2023/02/02 14:15:22 - mmengine - INFO - Epoch(train) [178][1020/1879] lr: 2.7779e-02 eta: 20:55:18 time: 0.5233 data_time: 0.0287 memory: 18104 grad_norm: 4.5679 loss: 3.3233 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0480 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.2753 2023/02/02 14:15:32 - mmengine - INFO - Epoch(train) [178][1040/1879] lr: 2.7773e-02 eta: 20:55:10 time: 0.5192 data_time: 0.0358 memory: 18104 grad_norm: 4.3514 loss: 3.5959 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2515 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.3444 2023/02/02 14:15:43 - mmengine - INFO - Epoch(train) [178][1060/1879] lr: 2.7766e-02 eta: 20:55:04 time: 0.5255 data_time: 0.0367 memory: 18104 grad_norm: 4.3974 loss: 3.4362 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0103 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.4259 2023/02/02 14:15:53 - mmengine - INFO - Epoch(train) [178][1080/1879] lr: 2.7759e-02 eta: 20:54:52 time: 0.5055 data_time: 0.0373 memory: 18104 grad_norm: 4.4345 loss: 3.5551 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1241 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.4310 2023/02/02 14:16:03 - mmengine - INFO - Epoch(train) [178][1100/1879] lr: 2.7752e-02 eta: 20:54:48 time: 0.5323 data_time: 0.0320 memory: 18104 grad_norm: 4.4819 loss: 3.4701 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0141 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.4560 2023/02/02 14:16:13 - mmengine - INFO - Epoch(train) [178][1120/1879] lr: 2.7746e-02 eta: 20:54:33 time: 0.4957 data_time: 0.0305 memory: 18104 grad_norm: 4.4048 loss: 3.4988 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.0206 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.4782 2023/02/02 14:16:24 - mmengine - INFO - Epoch(train) [178][1140/1879] lr: 2.7739e-02 eta: 20:54:23 time: 0.5119 data_time: 0.0342 memory: 18104 grad_norm: 4.3755 loss: 3.6567 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.2023 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.4544 2023/02/02 14:16:34 - mmengine - INFO - Epoch(train) [178][1160/1879] lr: 2.7732e-02 eta: 20:54:15 time: 0.5163 data_time: 0.0312 memory: 18104 grad_norm: 4.4106 loss: 3.4952 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0742 top1_acc_1: 0.6941 top5_acc_1: 0.8000 loss_cls_1: 1.4209 2023/02/02 14:16:44 - mmengine - INFO - Epoch(train) [178][1180/1879] lr: 2.7725e-02 eta: 20:54:07 time: 0.5212 data_time: 0.0396 memory: 18104 grad_norm: 4.5404 loss: 3.4423 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0554 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.3869 2023/02/02 14:16:54 - mmengine - INFO - Epoch(train) [178][1200/1879] lr: 2.7719e-02 eta: 20:53:53 time: 0.4950 data_time: 0.0308 memory: 18104 grad_norm: 4.4327 loss: 3.6348 top1_acc_0: 0.1875 top5_acc_0: 0.6875 loss_cls_0: 2.1155 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5194 2023/02/02 14:17:05 - mmengine - INFO - Epoch(train) [178][1220/1879] lr: 2.7712e-02 eta: 20:53:45 time: 0.5216 data_time: 0.0337 memory: 18104 grad_norm: 4.3842 loss: 3.3072 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8822 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 1.4250 2023/02/02 14:17:15 - mmengine - INFO - Epoch(train) [178][1240/1879] lr: 2.7705e-02 eta: 20:53:35 time: 0.5122 data_time: 0.0322 memory: 18104 grad_norm: 4.3513 loss: 3.4108 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.0258 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.3850 2023/02/02 14:17:25 - mmengine - INFO - Epoch(train) [178][1260/1879] lr: 2.7699e-02 eta: 20:53:28 time: 0.5217 data_time: 0.0401 memory: 18104 grad_norm: 4.4847 loss: 3.5276 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0414 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.4863 2023/02/02 14:17:35 - mmengine - INFO - Epoch(train) [178][1280/1879] lr: 2.7692e-02 eta: 20:53:13 time: 0.4931 data_time: 0.0315 memory: 18104 grad_norm: 4.3463 loss: 3.5121 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.0031 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.5090 2023/02/02 14:17:46 - mmengine - INFO - Epoch(train) [178][1300/1879] lr: 2.7685e-02 eta: 20:53:09 time: 0.5319 data_time: 0.0341 memory: 18104 grad_norm: 4.5292 loss: 3.4081 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0423 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.3658 2023/02/02 14:17:56 - mmengine - INFO - Epoch(train) [178][1320/1879] lr: 2.7678e-02 eta: 20:52:55 time: 0.4969 data_time: 0.0376 memory: 18104 grad_norm: 4.3817 loss: 3.6030 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.1116 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.4915 2023/02/02 14:18:06 - mmengine - INFO - Epoch(train) [178][1340/1879] lr: 2.7672e-02 eta: 20:52:45 time: 0.5153 data_time: 0.0332 memory: 18104 grad_norm: 4.2706 loss: 3.5129 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0980 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.4149 2023/02/02 14:18:16 - mmengine - INFO - Epoch(train) [178][1360/1879] lr: 2.7665e-02 eta: 20:52:33 time: 0.5031 data_time: 0.0324 memory: 18104 grad_norm: 4.2921 loss: 3.3020 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.9432 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.3588 2023/02/02 14:18:27 - mmengine - INFO - Epoch(train) [178][1380/1879] lr: 2.7658e-02 eta: 20:52:26 time: 0.5221 data_time: 0.0314 memory: 18104 grad_norm: 4.3852 loss: 3.6501 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1833 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.4668 2023/02/02 14:18:37 - mmengine - INFO - Epoch(train) [178][1400/1879] lr: 2.7651e-02 eta: 20:52:15 time: 0.5082 data_time: 0.0395 memory: 18104 grad_norm: 4.3211 loss: 3.4113 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9927 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.4187 2023/02/02 14:18:46 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 14:18:48 - mmengine - INFO - Epoch(train) [178][1420/1879] lr: 2.7645e-02 eta: 20:52:09 time: 0.5266 data_time: 0.0322 memory: 18104 grad_norm: 4.4524 loss: 3.4819 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.0491 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.4328 2023/02/02 14:18:58 - mmengine - INFO - Epoch(train) [178][1440/1879] lr: 2.7638e-02 eta: 20:51:56 time: 0.5021 data_time: 0.0323 memory: 18104 grad_norm: 4.3324 loss: 3.5001 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0758 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.4243 2023/02/02 14:19:08 - mmengine - INFO - Epoch(train) [178][1460/1879] lr: 2.7631e-02 eta: 20:51:49 time: 0.5231 data_time: 0.0393 memory: 18104 grad_norm: 4.3401 loss: 3.3730 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 1.9620 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.4110 2023/02/02 14:19:18 - mmengine - INFO - Epoch(train) [178][1480/1879] lr: 2.7624e-02 eta: 20:51:34 time: 0.4907 data_time: 0.0343 memory: 18104 grad_norm: 4.3549 loss: 3.6431 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2083 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.4348 2023/02/02 14:19:28 - mmengine - INFO - Epoch(train) [178][1500/1879] lr: 2.7618e-02 eta: 20:51:26 time: 0.5211 data_time: 0.0316 memory: 18104 grad_norm: 4.4194 loss: 3.4467 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.0392 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.4074 2023/02/02 14:19:39 - mmengine - INFO - Epoch(train) [178][1520/1879] lr: 2.7611e-02 eta: 20:51:17 time: 0.5159 data_time: 0.0377 memory: 18104 grad_norm: 4.4211 loss: 3.6946 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2585 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.4361 2023/02/02 14:19:49 - mmengine - INFO - Epoch(train) [178][1540/1879] lr: 2.7604e-02 eta: 20:51:06 time: 0.5053 data_time: 0.0342 memory: 18104 grad_norm: 4.4007 loss: 3.3443 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8734 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.4709 2023/02/02 14:19:59 - mmengine - INFO - Epoch(train) [178][1560/1879] lr: 2.7597e-02 eta: 20:50:50 time: 0.4926 data_time: 0.0324 memory: 18104 grad_norm: 4.3489 loss: 3.6499 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.1797 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.4702 2023/02/02 14:20:09 - mmengine - INFO - Epoch(train) [178][1580/1879] lr: 2.7591e-02 eta: 20:50:46 time: 0.5320 data_time: 0.0352 memory: 18104 grad_norm: 4.2649 loss: 3.3481 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9925 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.3556 2023/02/02 14:20:19 - mmengine - INFO - Epoch(train) [178][1600/1879] lr: 2.7584e-02 eta: 20:50:31 time: 0.4927 data_time: 0.0393 memory: 18104 grad_norm: 4.3665 loss: 3.3635 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8586 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.5049 2023/02/02 14:20:29 - mmengine - INFO - Epoch(train) [178][1620/1879] lr: 2.7577e-02 eta: 20:50:18 time: 0.5009 data_time: 0.0311 memory: 18104 grad_norm: 4.4299 loss: 3.4562 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9444 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.5118 2023/02/02 14:20:39 - mmengine - INFO - Epoch(train) [178][1640/1879] lr: 2.7571e-02 eta: 20:50:05 time: 0.5007 data_time: 0.0317 memory: 18104 grad_norm: 4.2823 loss: 3.4361 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.9914 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.4447 2023/02/02 14:20:50 - mmengine - INFO - Epoch(train) [178][1660/1879] lr: 2.7564e-02 eta: 20:49:55 time: 0.5121 data_time: 0.0386 memory: 18104 grad_norm: 4.3265 loss: 3.4731 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9998 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.4733 2023/02/02 14:20:59 - mmengine - INFO - Epoch(train) [178][1680/1879] lr: 2.7557e-02 eta: 20:49:40 time: 0.4917 data_time: 0.0314 memory: 18104 grad_norm: 4.3686 loss: 3.3371 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9562 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.3810 2023/02/02 14:21:10 - mmengine - INFO - Epoch(train) [178][1700/1879] lr: 2.7550e-02 eta: 20:49:32 time: 0.5197 data_time: 0.0349 memory: 18104 grad_norm: 4.3586 loss: 3.5271 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0492 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.4778 2023/02/02 14:21:20 - mmengine - INFO - Epoch(train) [178][1720/1879] lr: 2.7544e-02 eta: 20:49:18 time: 0.4981 data_time: 0.0331 memory: 18104 grad_norm: 4.3744 loss: 3.5145 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.0820 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.4325 2023/02/02 14:21:30 - mmengine - INFO - Epoch(train) [178][1740/1879] lr: 2.7537e-02 eta: 20:49:06 time: 0.5019 data_time: 0.0421 memory: 18104 grad_norm: 4.3648 loss: 3.2278 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8163 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.4115 2023/02/02 14:21:39 - mmengine - INFO - Epoch(train) [178][1760/1879] lr: 2.7530e-02 eta: 20:48:47 time: 0.4788 data_time: 0.0338 memory: 18104 grad_norm: 4.4131 loss: 3.5754 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 2.1638 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.4116 2023/02/02 14:21:50 - mmengine - INFO - Epoch(train) [178][1780/1879] lr: 2.7523e-02 eta: 20:48:41 time: 0.5288 data_time: 0.0313 memory: 18104 grad_norm: 4.4364 loss: 3.4591 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9194 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.5398 2023/02/02 14:22:00 - mmengine - INFO - Epoch(train) [178][1800/1879] lr: 2.7517e-02 eta: 20:48:27 time: 0.4942 data_time: 0.0397 memory: 18104 grad_norm: 4.4334 loss: 3.4825 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0399 top1_acc_1: 0.6824 top5_acc_1: 0.8118 loss_cls_1: 1.4426 2023/02/02 14:22:10 - mmengine - INFO - Epoch(train) [178][1820/1879] lr: 2.7510e-02 eta: 20:48:14 time: 0.5015 data_time: 0.0327 memory: 18104 grad_norm: 4.4196 loss: 3.3508 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.9247 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.4261 2023/02/02 14:22:20 - mmengine - INFO - Epoch(train) [178][1840/1879] lr: 2.7503e-02 eta: 20:47:59 time: 0.4906 data_time: 0.0338 memory: 18104 grad_norm: 4.4414 loss: 3.5870 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1860 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4011 2023/02/02 14:22:30 - mmengine - INFO - Epoch(train) [178][1860/1879] lr: 2.7497e-02 eta: 20:47:45 time: 0.4991 data_time: 0.0315 memory: 18104 grad_norm: 4.4234 loss: 3.2717 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.9105 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.3612 2023/02/02 14:22:39 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 14:22:39 - mmengine - INFO - Epoch(train) [178][1879/1879] lr: 2.7490e-02 eta: 20:47:27 time: 0.4742 data_time: 0.0369 memory: 18104 grad_norm: 4.5196 loss: 3.7075 top1_acc_0: 0.5714 top5_acc_0: 0.7143 loss_cls_0: 2.2723 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.4352 2023/02/02 14:22:54 - mmengine - INFO - Epoch(train) [179][ 20/1879] lr: 2.7483e-02 eta: 20:48:07 time: 0.7037 data_time: 0.2535 memory: 18104 grad_norm: 4.3597 loss: 3.2583 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9185 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.3398 2023/02/02 14:23:03 - mmengine - INFO - Epoch(train) [179][ 40/1879] lr: 2.7477e-02 eta: 20:47:45 time: 0.4673 data_time: 0.0335 memory: 18104 grad_norm: 4.4445 loss: 3.5776 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1875 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.3902 2023/02/02 14:23:12 - mmengine - INFO - Epoch(train) [179][ 60/1879] lr: 2.7470e-02 eta: 20:47:24 time: 0.4683 data_time: 0.0330 memory: 18104 grad_norm: 4.3157 loss: 3.3328 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.9311 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.4018 2023/02/02 14:23:22 - mmengine - INFO - Epoch(train) [179][ 80/1879] lr: 2.7463e-02 eta: 20:47:10 time: 0.4971 data_time: 0.0411 memory: 18104 grad_norm: 4.3140 loss: 3.3696 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9402 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.4293 2023/02/02 14:23:32 - mmengine - INFO - Epoch(train) [179][ 100/1879] lr: 2.7457e-02 eta: 20:46:50 time: 0.4729 data_time: 0.0353 memory: 18104 grad_norm: 4.4129 loss: 3.6549 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1755 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.4793 2023/02/02 14:23:41 - mmengine - INFO - Epoch(train) [179][ 120/1879] lr: 2.7450e-02 eta: 20:46:29 time: 0.4658 data_time: 0.0335 memory: 18104 grad_norm: 4.3698 loss: 3.1261 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7612 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.3649 2023/02/02 14:23:51 - mmengine - INFO - Epoch(train) [179][ 140/1879] lr: 2.7443e-02 eta: 20:46:13 time: 0.4881 data_time: 0.0342 memory: 18104 grad_norm: 4.4197 loss: 3.4703 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0676 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.4027 2023/02/02 14:24:01 - mmengine - INFO - Epoch(train) [179][ 160/1879] lr: 2.7436e-02 eta: 20:46:01 time: 0.5042 data_time: 0.0411 memory: 18104 grad_norm: 4.3693 loss: 3.3029 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9636 top1_acc_1: 0.6706 top5_acc_1: 0.9294 loss_cls_1: 1.3393 2023/02/02 14:24:11 - mmengine - INFO - Epoch(train) [179][ 180/1879] lr: 2.7430e-02 eta: 20:45:42 time: 0.4768 data_time: 0.0327 memory: 18104 grad_norm: 4.3864 loss: 3.3764 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0022 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.3742 2023/02/02 14:24:20 - mmengine - INFO - Epoch(train) [179][ 200/1879] lr: 2.7423e-02 eta: 20:45:28 time: 0.4958 data_time: 0.0336 memory: 18104 grad_norm: 4.4684 loss: 3.3896 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.9432 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.4464 2023/02/02 14:24:31 - mmengine - INFO - Epoch(train) [179][ 220/1879] lr: 2.7416e-02 eta: 20:45:18 time: 0.5106 data_time: 0.0311 memory: 18104 grad_norm: 4.4369 loss: 3.5308 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2116 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.3192 2023/02/02 14:24:41 - mmengine - INFO - Epoch(train) [179][ 240/1879] lr: 2.7409e-02 eta: 20:45:07 time: 0.5083 data_time: 0.0391 memory: 18104 grad_norm: 4.3292 loss: 3.3012 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9572 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.3440 2023/02/02 14:24:51 - mmengine - INFO - Epoch(train) [179][ 260/1879] lr: 2.7403e-02 eta: 20:44:52 time: 0.4936 data_time: 0.0330 memory: 18104 grad_norm: 4.3986 loss: 3.4230 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0731 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 1.3499 2023/02/02 14:25:01 - mmengine - INFO - Epoch(train) [179][ 280/1879] lr: 2.7396e-02 eta: 20:44:43 time: 0.5139 data_time: 0.0347 memory: 18104 grad_norm: 4.3915 loss: 3.3734 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.0160 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.3573 2023/02/02 14:25:11 - mmengine - INFO - Epoch(train) [179][ 300/1879] lr: 2.7389e-02 eta: 20:44:34 time: 0.5172 data_time: 0.0393 memory: 18104 grad_norm: 4.4419 loss: 3.3360 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9095 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.4266 2023/02/02 14:25:21 - mmengine - INFO - Epoch(train) [179][ 320/1879] lr: 2.7383e-02 eta: 20:44:21 time: 0.4993 data_time: 0.0330 memory: 18104 grad_norm: 4.4442 loss: 3.5184 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.1049 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.4134 2023/02/02 14:25:32 - mmengine - INFO - Epoch(train) [179][ 340/1879] lr: 2.7376e-02 eta: 20:44:10 time: 0.5055 data_time: 0.0332 memory: 18104 grad_norm: 4.3560 loss: 3.1057 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6798 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.4259 2023/02/02 14:25:42 - mmengine - INFO - Epoch(train) [179][ 360/1879] lr: 2.7369e-02 eta: 20:44:00 time: 0.5117 data_time: 0.0340 memory: 18104 grad_norm: 4.3298 loss: 3.7157 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1852 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.5305 2023/02/02 14:25:52 - mmengine - INFO - Epoch(train) [179][ 380/1879] lr: 2.7362e-02 eta: 20:43:51 time: 0.5170 data_time: 0.0377 memory: 18104 grad_norm: 4.2806 loss: 3.2499 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 1.8297 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.4202 2023/02/02 14:26:02 - mmengine - INFO - Epoch(train) [179][ 400/1879] lr: 2.7356e-02 eta: 20:43:40 time: 0.5057 data_time: 0.0323 memory: 18104 grad_norm: 4.3490 loss: 3.2956 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8825 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.4131 2023/02/02 14:26:12 - mmengine - INFO - Epoch(train) [179][ 420/1879] lr: 2.7349e-02 eta: 20:43:28 time: 0.5029 data_time: 0.0332 memory: 18104 grad_norm: 4.4278 loss: 3.4583 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9561 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.5022 2023/02/02 14:26:23 - mmengine - INFO - Epoch(train) [179][ 440/1879] lr: 2.7342e-02 eta: 20:43:23 time: 0.5302 data_time: 0.0379 memory: 18104 grad_norm: 4.3339 loss: 3.3424 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.9309 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.4115 2023/02/02 14:26:33 - mmengine - INFO - Epoch(train) [179][ 460/1879] lr: 2.7336e-02 eta: 20:43:12 time: 0.5087 data_time: 0.0329 memory: 18104 grad_norm: 4.4013 loss: 3.3552 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9784 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.3768 2023/02/02 14:26:44 - mmengine - INFO - Epoch(train) [179][ 480/1879] lr: 2.7329e-02 eta: 20:43:03 time: 0.5155 data_time: 0.0318 memory: 18104 grad_norm: 4.5020 loss: 3.5026 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.0728 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.4297 2023/02/02 14:26:54 - mmengine - INFO - Epoch(train) [179][ 500/1879] lr: 2.7322e-02 eta: 20:42:54 time: 0.5143 data_time: 0.0322 memory: 18104 grad_norm: 4.4958 loss: 3.4942 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0352 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.4590 2023/02/02 14:27:04 - mmengine - INFO - Epoch(train) [179][ 520/1879] lr: 2.7315e-02 eta: 20:42:43 time: 0.5099 data_time: 0.0320 memory: 18104 grad_norm: 4.3517 loss: 3.1625 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.7100 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.4524 2023/02/02 14:27:13 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 14:27:14 - mmengine - INFO - Epoch(train) [179][ 540/1879] lr: 2.7309e-02 eta: 20:42:33 time: 0.5090 data_time: 0.0342 memory: 18104 grad_norm: 4.4374 loss: 3.4705 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0540 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.4165 2023/02/02 14:27:25 - mmengine - INFO - Epoch(train) [179][ 560/1879] lr: 2.7302e-02 eta: 20:42:23 time: 0.5142 data_time: 0.0318 memory: 18104 grad_norm: 4.4787 loss: 3.4367 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 2.0365 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.4002 2023/02/02 14:27:35 - mmengine - INFO - Epoch(train) [179][ 580/1879] lr: 2.7295e-02 eta: 20:42:15 time: 0.5186 data_time: 0.0418 memory: 18104 grad_norm: 4.4091 loss: 3.3304 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9730 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.3574 2023/02/02 14:27:45 - mmengine - INFO - Epoch(train) [179][ 600/1879] lr: 2.7289e-02 eta: 20:42:08 time: 0.5216 data_time: 0.0278 memory: 18104 grad_norm: 4.4616 loss: 3.4330 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1064 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.3266 2023/02/02 14:27:56 - mmengine - INFO - Epoch(train) [179][ 620/1879] lr: 2.7282e-02 eta: 20:42:00 time: 0.5200 data_time: 0.0348 memory: 18104 grad_norm: 4.3547 loss: 3.5001 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 2.0045 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.4956 2023/02/02 14:28:06 - mmengine - INFO - Epoch(train) [179][ 640/1879] lr: 2.7275e-02 eta: 20:41:55 time: 0.5322 data_time: 0.0294 memory: 18104 grad_norm: 4.3792 loss: 3.2929 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.9485 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.3444 2023/02/02 14:28:17 - mmengine - INFO - Epoch(train) [179][ 660/1879] lr: 2.7269e-02 eta: 20:41:51 time: 0.5364 data_time: 0.0421 memory: 18104 grad_norm: 4.4740 loss: 3.4244 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0073 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.4172 2023/02/02 14:28:28 - mmengine - INFO - Epoch(train) [179][ 680/1879] lr: 2.7262e-02 eta: 20:41:45 time: 0.5268 data_time: 0.0296 memory: 18104 grad_norm: 4.3750 loss: 3.6413 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1215 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.5199 2023/02/02 14:28:38 - mmengine - INFO - Epoch(train) [179][ 700/1879] lr: 2.7255e-02 eta: 20:41:39 time: 0.5287 data_time: 0.0328 memory: 18104 grad_norm: 4.4750 loss: 3.2852 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.9554 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.3298 2023/02/02 14:28:49 - mmengine - INFO - Epoch(train) [179][ 720/1879] lr: 2.7248e-02 eta: 20:41:33 time: 0.5306 data_time: 0.0363 memory: 18104 grad_norm: 4.3216 loss: 3.2359 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 1.9175 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.3183 2023/02/02 14:28:59 - mmengine - INFO - Epoch(train) [179][ 740/1879] lr: 2.7242e-02 eta: 20:41:25 time: 0.5199 data_time: 0.0342 memory: 18104 grad_norm: 4.4266 loss: 3.3929 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0158 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.3771 2023/02/02 14:29:10 - mmengine - INFO - Epoch(train) [179][ 760/1879] lr: 2.7235e-02 eta: 20:41:22 time: 0.5382 data_time: 0.0311 memory: 18104 grad_norm: 4.4296 loss: 3.2567 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8065 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.4502 2023/02/02 14:29:21 - mmengine - INFO - Epoch(train) [179][ 780/1879] lr: 2.7228e-02 eta: 20:41:14 time: 0.5216 data_time: 0.0430 memory: 18104 grad_norm: 4.4304 loss: 3.5420 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1139 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.4281 2023/02/02 14:29:31 - mmengine - INFO - Epoch(train) [179][ 800/1879] lr: 2.7222e-02 eta: 20:41:09 time: 0.5328 data_time: 0.0299 memory: 18104 grad_norm: 4.3789 loss: 3.4831 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0958 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.3874 2023/02/02 14:29:42 - mmengine - INFO - Epoch(train) [179][ 820/1879] lr: 2.7215e-02 eta: 20:41:06 time: 0.5391 data_time: 0.0351 memory: 18104 grad_norm: 4.4717 loss: 3.3108 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9624 top1_acc_1: 0.6588 top5_acc_1: 0.9176 loss_cls_1: 1.3484 2023/02/02 14:29:53 - mmengine - INFO - Epoch(train) [179][ 840/1879] lr: 2.7208e-02 eta: 20:40:57 time: 0.5183 data_time: 0.0386 memory: 18104 grad_norm: 4.5209 loss: 3.5030 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.0163 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4867 2023/02/02 14:30:03 - mmengine - INFO - Epoch(train) [179][ 860/1879] lr: 2.7201e-02 eta: 20:40:50 time: 0.5235 data_time: 0.0342 memory: 18104 grad_norm: 4.5538 loss: 3.5413 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0503 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.4910 2023/02/02 14:30:14 - mmengine - INFO - Epoch(train) [179][ 880/1879] lr: 2.7195e-02 eta: 20:40:46 time: 0.5344 data_time: 0.0304 memory: 18104 grad_norm: 4.3524 loss: 3.3579 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9076 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4503 2023/02/02 14:30:24 - mmengine - INFO - Epoch(train) [179][ 900/1879] lr: 2.7188e-02 eta: 20:40:37 time: 0.5195 data_time: 0.0416 memory: 18104 grad_norm: 4.3499 loss: 3.4482 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.0100 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.4381 2023/02/02 14:30:35 - mmengine - INFO - Epoch(train) [179][ 920/1879] lr: 2.7181e-02 eta: 20:40:30 time: 0.5227 data_time: 0.0299 memory: 18104 grad_norm: 4.5569 loss: 3.4915 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.0856 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.4059 2023/02/02 14:30:45 - mmengine - INFO - Epoch(train) [179][ 940/1879] lr: 2.7175e-02 eta: 20:40:23 time: 0.5238 data_time: 0.0331 memory: 18104 grad_norm: 4.4146 loss: 3.3883 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9829 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.4054 2023/02/02 14:30:56 - mmengine - INFO - Epoch(train) [179][ 960/1879] lr: 2.7168e-02 eta: 20:40:21 time: 0.5474 data_time: 0.0395 memory: 18104 grad_norm: 4.3840 loss: 3.2418 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8896 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.3522 2023/02/02 14:31:07 - mmengine - INFO - Epoch(train) [179][ 980/1879] lr: 2.7161e-02 eta: 20:40:13 time: 0.5216 data_time: 0.0349 memory: 18104 grad_norm: 4.3808 loss: 3.3184 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.9452 top1_acc_1: 0.7882 top5_acc_1: 0.9647 loss_cls_1: 1.3733 2023/02/02 14:31:17 - mmengine - INFO - Epoch(train) [179][1000/1879] lr: 2.7155e-02 eta: 20:40:06 time: 0.5213 data_time: 0.0309 memory: 18104 grad_norm: 4.4432 loss: 3.3290 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 1.9227 top1_acc_1: 0.6824 top5_acc_1: 0.9412 loss_cls_1: 1.4063 2023/02/02 14:31:28 - mmengine - INFO - Epoch(train) [179][1020/1879] lr: 2.7148e-02 eta: 20:40:04 time: 0.5477 data_time: 0.0342 memory: 18104 grad_norm: 4.4655 loss: 3.5860 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.1713 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.4147 2023/02/02 14:31:38 - mmengine - INFO - Epoch(train) [179][1040/1879] lr: 2.7141e-02 eta: 20:39:56 time: 0.5223 data_time: 0.0376 memory: 18104 grad_norm: 4.5390 loss: 3.3600 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 2.0037 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.3563 2023/02/02 14:31:49 - mmengine - INFO - Epoch(train) [179][1060/1879] lr: 2.7134e-02 eta: 20:39:51 time: 0.5319 data_time: 0.0366 memory: 18104 grad_norm: 4.4792 loss: 3.5269 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.0494 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.4775 2023/02/02 14:32:00 - mmengine - INFO - Epoch(train) [179][1080/1879] lr: 2.7128e-02 eta: 20:39:51 time: 0.5542 data_time: 0.0312 memory: 18104 grad_norm: 4.6084 loss: 3.4536 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0258 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.4278 2023/02/02 14:32:11 - mmengine - INFO - Epoch(train) [179][1100/1879] lr: 2.7121e-02 eta: 20:39:42 time: 0.5188 data_time: 0.0351 memory: 18104 grad_norm: 4.4223 loss: 3.5279 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.1414 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.3865 2023/02/02 14:32:21 - mmengine - INFO - Epoch(train) [179][1120/1879] lr: 2.7114e-02 eta: 20:39:35 time: 0.5239 data_time: 0.0301 memory: 18104 grad_norm: 4.4430 loss: 3.3890 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 1.9920 top1_acc_1: 0.6588 top5_acc_1: 0.9412 loss_cls_1: 1.3970 2023/02/02 14:32:32 - mmengine - INFO - Epoch(train) [179][1140/1879] lr: 2.7108e-02 eta: 20:39:32 time: 0.5408 data_time: 0.0356 memory: 18104 grad_norm: 4.4144 loss: 3.4020 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0341 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.3679 2023/02/02 14:32:43 - mmengine - INFO - Epoch(train) [179][1160/1879] lr: 2.7101e-02 eta: 20:39:30 time: 0.5483 data_time: 0.0286 memory: 18104 grad_norm: 4.3539 loss: 3.4640 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0849 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.3791 2023/02/02 14:32:54 - mmengine - INFO - Epoch(train) [179][1180/1879] lr: 2.7094e-02 eta: 20:39:28 time: 0.5440 data_time: 0.0427 memory: 18104 grad_norm: 4.4412 loss: 3.3449 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 1.9043 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.4406 2023/02/02 14:33:04 - mmengine - INFO - Epoch(train) [179][1200/1879] lr: 2.7088e-02 eta: 20:39:22 time: 0.5307 data_time: 0.0300 memory: 18104 grad_norm: 4.3729 loss: 3.2337 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.7681 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.4657 2023/02/02 14:33:16 - mmengine - INFO - Epoch(train) [179][1220/1879] lr: 2.7081e-02 eta: 20:39:22 time: 0.5549 data_time: 0.0335 memory: 18104 grad_norm: 4.3686 loss: 3.3595 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.8744 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.4851 2023/02/02 14:33:26 - mmengine - INFO - Epoch(train) [179][1240/1879] lr: 2.7074e-02 eta: 20:39:19 time: 0.5430 data_time: 0.0357 memory: 18104 grad_norm: 4.4707 loss: 3.3582 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9391 top1_acc_1: 0.7176 top5_acc_1: 0.7882 loss_cls_1: 1.4191 2023/02/02 14:33:37 - mmengine - INFO - Epoch(train) [179][1260/1879] lr: 2.7067e-02 eta: 20:39:13 time: 0.5306 data_time: 0.0348 memory: 18104 grad_norm: 4.3196 loss: 3.3768 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9453 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.4315 2023/02/02 14:33:48 - mmengine - INFO - Epoch(train) [179][1280/1879] lr: 2.7061e-02 eta: 20:39:09 time: 0.5388 data_time: 0.0273 memory: 18104 grad_norm: 4.4480 loss: 3.5576 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.1745 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.3831 2023/02/02 14:33:59 - mmengine - INFO - Epoch(train) [179][1300/1879] lr: 2.7054e-02 eta: 20:39:11 time: 0.5635 data_time: 0.0363 memory: 18104 grad_norm: 4.3690 loss: 3.4933 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1087 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.3846 2023/02/02 14:34:10 - mmengine - INFO - Epoch(train) [179][1320/1879] lr: 2.7047e-02 eta: 20:39:05 time: 0.5296 data_time: 0.0303 memory: 18104 grad_norm: 4.4045 loss: 3.5230 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1163 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.4066 2023/02/02 14:34:21 - mmengine - INFO - Epoch(train) [179][1340/1879] lr: 2.7041e-02 eta: 20:39:03 time: 0.5490 data_time: 0.0335 memory: 18104 grad_norm: 4.6136 loss: 3.4891 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 2.0762 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.4129 2023/02/02 14:34:32 - mmengine - INFO - Epoch(train) [179][1360/1879] lr: 2.7034e-02 eta: 20:39:02 time: 0.5540 data_time: 0.0277 memory: 18104 grad_norm: 4.5103 loss: 3.3896 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9642 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.4254 2023/02/02 14:34:42 - mmengine - INFO - Epoch(train) [179][1380/1879] lr: 2.7027e-02 eta: 20:38:56 time: 0.5310 data_time: 0.0335 memory: 18104 grad_norm: 4.4510 loss: 3.3261 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0201 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.3060 2023/02/02 14:34:53 - mmengine - INFO - Epoch(train) [179][1400/1879] lr: 2.7021e-02 eta: 20:38:49 time: 0.5255 data_time: 0.0295 memory: 18104 grad_norm: 4.3410 loss: 3.2266 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8209 top1_acc_1: 0.7059 top5_acc_1: 0.9412 loss_cls_1: 1.4057 2023/02/02 14:35:04 - mmengine - INFO - Epoch(train) [179][1420/1879] lr: 2.7014e-02 eta: 20:38:46 time: 0.5427 data_time: 0.0407 memory: 18104 grad_norm: 4.4942 loss: 3.3531 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9670 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.3861 2023/02/02 14:35:15 - mmengine - INFO - Epoch(train) [179][1440/1879] lr: 2.7007e-02 eta: 20:38:44 time: 0.5494 data_time: 0.0308 memory: 18104 grad_norm: 4.4794 loss: 3.3482 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8978 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.4504 2023/02/02 14:35:25 - mmengine - INFO - Epoch(train) [179][1460/1879] lr: 2.7001e-02 eta: 20:38:36 time: 0.5203 data_time: 0.0351 memory: 18104 grad_norm: 4.5140 loss: 3.2731 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8648 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.4083 2023/02/02 14:35:36 - mmengine - INFO - Epoch(train) [179][1480/1879] lr: 2.6994e-02 eta: 20:38:34 time: 0.5470 data_time: 0.0374 memory: 18104 grad_norm: 4.3992 loss: 3.5374 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.0479 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 1.4896 2023/02/02 14:35:47 - mmengine - INFO - Epoch(train) [179][1500/1879] lr: 2.6987e-02 eta: 20:38:26 time: 0.5234 data_time: 0.0366 memory: 18104 grad_norm: 4.4680 loss: 3.4079 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0157 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.3922 2023/02/02 14:35:57 - mmengine - INFO - Epoch(train) [179][1520/1879] lr: 2.6981e-02 eta: 20:38:18 time: 0.5231 data_time: 0.0301 memory: 18104 grad_norm: 4.3621 loss: 3.4582 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0416 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4166 2023/02/02 14:36:07 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 14:36:08 - mmengine - INFO - Epoch(train) [179][1540/1879] lr: 2.6974e-02 eta: 20:38:14 time: 0.5383 data_time: 0.0417 memory: 18104 grad_norm: 4.2945 loss: 3.2584 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 1.8310 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.4274 2023/02/02 14:36:19 - mmengine - INFO - Epoch(train) [179][1560/1879] lr: 2.6967e-02 eta: 20:38:12 time: 0.5487 data_time: 0.0309 memory: 18104 grad_norm: 4.3126 loss: 3.2550 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8392 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.4159 2023/02/02 14:36:30 - mmengine - INFO - Epoch(train) [179][1580/1879] lr: 2.6960e-02 eta: 20:38:06 time: 0.5322 data_time: 0.0356 memory: 18104 grad_norm: 4.4349 loss: 3.6584 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.2269 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.4315 2023/02/02 14:36:40 - mmengine - INFO - Epoch(train) [179][1600/1879] lr: 2.6954e-02 eta: 20:38:01 time: 0.5345 data_time: 0.0295 memory: 18104 grad_norm: 4.4276 loss: 3.5375 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0878 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.4496 2023/02/02 14:36:51 - mmengine - INFO - Epoch(train) [179][1620/1879] lr: 2.6947e-02 eta: 20:37:56 time: 0.5371 data_time: 0.0390 memory: 18104 grad_norm: 4.3711 loss: 3.3352 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9065 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.4287 2023/02/02 14:37:02 - mmengine - INFO - Epoch(train) [179][1640/1879] lr: 2.6940e-02 eta: 20:37:53 time: 0.5456 data_time: 0.0286 memory: 18104 grad_norm: 4.5011 loss: 3.3744 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9704 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.4040 2023/02/02 14:37:13 - mmengine - INFO - Epoch(train) [179][1660/1879] lr: 2.6934e-02 eta: 20:37:48 time: 0.5350 data_time: 0.0364 memory: 18104 grad_norm: 4.3859 loss: 3.4465 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0219 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.4246 2023/02/02 14:37:23 - mmengine - INFO - Epoch(train) [179][1680/1879] lr: 2.6927e-02 eta: 20:37:41 time: 0.5289 data_time: 0.0284 memory: 18104 grad_norm: 4.3982 loss: 3.2166 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8113 top1_acc_1: 0.6824 top5_acc_1: 0.9294 loss_cls_1: 1.4054 2023/02/02 14:37:34 - mmengine - INFO - Epoch(train) [179][1700/1879] lr: 2.6920e-02 eta: 20:37:36 time: 0.5348 data_time: 0.0365 memory: 18104 grad_norm: 4.4191 loss: 3.4223 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9979 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.4245 2023/02/02 14:37:45 - mmengine - INFO - Epoch(train) [179][1720/1879] lr: 2.6914e-02 eta: 20:37:34 time: 0.5499 data_time: 0.0276 memory: 18104 grad_norm: 4.5328 loss: 3.6554 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2122 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.4432 2023/02/02 14:37:56 - mmengine - INFO - Epoch(train) [179][1740/1879] lr: 2.6907e-02 eta: 20:37:26 time: 0.5234 data_time: 0.0358 memory: 18104 grad_norm: 4.6070 loss: 3.3429 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 1.9722 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.3707 2023/02/02 14:38:06 - mmengine - INFO - Epoch(train) [179][1760/1879] lr: 2.6900e-02 eta: 20:37:22 time: 0.5382 data_time: 0.0284 memory: 18104 grad_norm: 4.4730 loss: 3.4057 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0608 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.3450 2023/02/02 14:38:17 - mmengine - INFO - Epoch(train) [179][1780/1879] lr: 2.6894e-02 eta: 20:37:18 time: 0.5415 data_time: 0.0346 memory: 18104 grad_norm: 4.5085 loss: 3.4786 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 1.9176 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.5610 2023/02/02 14:38:28 - mmengine - INFO - Epoch(train) [179][1800/1879] lr: 2.6887e-02 eta: 20:37:11 time: 0.5301 data_time: 0.0281 memory: 18104 grad_norm: 4.4770 loss: 3.3288 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9626 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.3662 2023/02/02 14:38:39 - mmengine - INFO - Epoch(train) [179][1820/1879] lr: 2.6880e-02 eta: 20:37:06 time: 0.5358 data_time: 0.0334 memory: 18104 grad_norm: 4.3978 loss: 3.7118 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.2589 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.4530 2023/02/02 14:38:49 - mmengine - INFO - Epoch(train) [179][1840/1879] lr: 2.6874e-02 eta: 20:37:02 time: 0.5391 data_time: 0.0283 memory: 18104 grad_norm: 4.3784 loss: 3.4907 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1084 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.3823 2023/02/02 14:39:00 - mmengine - INFO - Epoch(train) [179][1860/1879] lr: 2.6867e-02 eta: 20:36:54 time: 0.5247 data_time: 0.0423 memory: 18104 grad_norm: 4.4620 loss: 3.4486 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0211 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.4275 2023/02/02 14:39:09 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 14:39:09 - mmengine - INFO - Epoch(train) [179][1879/1879] lr: 2.6861e-02 eta: 20:36:41 time: 0.4989 data_time: 0.0269 memory: 18104 grad_norm: 4.5480 loss: 3.5146 top1_acc_0: 0.5714 top5_acc_0: 0.7143 loss_cls_0: 2.0044 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.5102 2023/02/02 14:39:24 - mmengine - INFO - Epoch(train) [180][ 20/1879] lr: 2.6854e-02 eta: 20:37:16 time: 0.7170 data_time: 0.2582 memory: 18104 grad_norm: 4.3612 loss: 3.1936 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8585 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.3350 2023/02/02 14:39:34 - mmengine - INFO - Epoch(train) [180][ 40/1879] lr: 2.6847e-02 eta: 20:36:57 time: 0.4727 data_time: 0.0286 memory: 18104 grad_norm: 4.3272 loss: 3.4194 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0582 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.3612 2023/02/02 14:39:44 - mmengine - INFO - Epoch(train) [180][ 60/1879] lr: 2.6841e-02 eta: 20:36:41 time: 0.4866 data_time: 0.0379 memory: 18104 grad_norm: 4.3136 loss: 3.1866 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.8068 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.3798 2023/02/02 14:39:54 - mmengine - INFO - Epoch(train) [180][ 80/1879] lr: 2.6834e-02 eta: 20:36:31 time: 0.5149 data_time: 0.0386 memory: 18104 grad_norm: 4.4639 loss: 3.4903 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.0466 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.4437 2023/02/02 14:40:04 - mmengine - INFO - Epoch(train) [180][ 100/1879] lr: 2.6827e-02 eta: 20:36:15 time: 0.4887 data_time: 0.0365 memory: 18104 grad_norm: 4.5153 loss: 3.5242 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2211 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.3031 2023/02/02 14:40:13 - mmengine - INFO - Epoch(train) [180][ 120/1879] lr: 2.6821e-02 eta: 20:35:57 time: 0.4758 data_time: 0.0298 memory: 18104 grad_norm: 4.4933 loss: 3.2662 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8617 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4045 2023/02/02 14:40:24 - mmengine - INFO - Epoch(train) [180][ 140/1879] lr: 2.6814e-02 eta: 20:35:48 time: 0.5209 data_time: 0.0376 memory: 18104 grad_norm: 4.4370 loss: 3.1771 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7932 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.3839 2023/02/02 14:40:33 - mmengine - INFO - Epoch(train) [180][ 160/1879] lr: 2.6807e-02 eta: 20:35:31 time: 0.4814 data_time: 0.0291 memory: 18104 grad_norm: 4.3549 loss: 3.4436 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8864 top1_acc_1: 0.4941 top5_acc_1: 0.7882 loss_cls_1: 1.5572 2023/02/02 14:40:43 - mmengine - INFO - Epoch(train) [180][ 180/1879] lr: 2.6801e-02 eta: 20:35:16 time: 0.4884 data_time: 0.0357 memory: 18104 grad_norm: 4.4381 loss: 3.1903 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7586 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.4317 2023/02/02 14:40:53 - mmengine - INFO - Epoch(train) [180][ 200/1879] lr: 2.6794e-02 eta: 20:34:59 time: 0.4814 data_time: 0.0304 memory: 18104 grad_norm: 4.4416 loss: 3.3969 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.9531 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.4438 2023/02/02 14:41:03 - mmengine - INFO - Epoch(train) [180][ 220/1879] lr: 2.6787e-02 eta: 20:34:46 time: 0.5037 data_time: 0.0370 memory: 18104 grad_norm: 4.4781 loss: 3.4843 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.0987 top1_acc_1: 0.6706 top5_acc_1: 0.7882 loss_cls_1: 1.3857 2023/02/02 14:41:12 - mmengine - INFO - Epoch(train) [180][ 240/1879] lr: 2.6781e-02 eta: 20:34:29 time: 0.4798 data_time: 0.0317 memory: 18104 grad_norm: 4.4371 loss: 3.3928 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.9298 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.4630 2023/02/02 14:41:22 - mmengine - INFO - Epoch(train) [180][ 260/1879] lr: 2.6774e-02 eta: 20:34:14 time: 0.4892 data_time: 0.0409 memory: 18104 grad_norm: 4.5188 loss: 3.4926 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0647 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.4280 2023/02/02 14:41:33 - mmengine - INFO - Epoch(train) [180][ 280/1879] lr: 2.6767e-02 eta: 20:34:04 time: 0.5169 data_time: 0.0355 memory: 18104 grad_norm: 4.4326 loss: 3.1606 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8189 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.3418 2023/02/02 14:41:42 - mmengine - INFO - Epoch(train) [180][ 300/1879] lr: 2.6761e-02 eta: 20:33:48 time: 0.4836 data_time: 0.0372 memory: 18104 grad_norm: 4.4359 loss: 3.5001 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.1314 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.3687 2023/02/02 14:41:52 - mmengine - INFO - Epoch(train) [180][ 320/1879] lr: 2.6754e-02 eta: 20:33:30 time: 0.4767 data_time: 0.0277 memory: 18104 grad_norm: 4.4940 loss: 3.4221 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.0658 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.3563 2023/02/02 14:42:02 - mmengine - INFO - Epoch(train) [180][ 340/1879] lr: 2.6747e-02 eta: 20:33:17 time: 0.5010 data_time: 0.0436 memory: 18104 grad_norm: 4.4269 loss: 3.2416 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8269 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.4147 2023/02/02 14:42:12 - mmengine - INFO - Epoch(train) [180][ 360/1879] lr: 2.6741e-02 eta: 20:33:03 time: 0.4931 data_time: 0.0283 memory: 18104 grad_norm: 4.4426 loss: 3.2912 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8840 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.4072 2023/02/02 14:42:21 - mmengine - INFO - Epoch(train) [180][ 380/1879] lr: 2.6734e-02 eta: 20:32:47 time: 0.4860 data_time: 0.0367 memory: 18104 grad_norm: 4.4678 loss: 3.4444 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.1211 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.3233 2023/02/02 14:42:31 - mmengine - INFO - Epoch(train) [180][ 400/1879] lr: 2.6727e-02 eta: 20:32:31 time: 0.4877 data_time: 0.0332 memory: 18104 grad_norm: 4.4773 loss: 3.2642 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.9311 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.3332 2023/02/02 14:42:41 - mmengine - INFO - Epoch(train) [180][ 420/1879] lr: 2.6721e-02 eta: 20:32:20 time: 0.5074 data_time: 0.0380 memory: 18104 grad_norm: 4.5359 loss: 3.3074 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.8819 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.4255 2023/02/02 14:42:51 - mmengine - INFO - Epoch(train) [180][ 440/1879] lr: 2.6714e-02 eta: 20:32:04 time: 0.4846 data_time: 0.0297 memory: 18104 grad_norm: 4.3853 loss: 3.2313 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.8973 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 1.3339 2023/02/02 14:43:01 - mmengine - INFO - Epoch(train) [180][ 460/1879] lr: 2.6707e-02 eta: 20:31:49 time: 0.4911 data_time: 0.0444 memory: 18104 grad_norm: 4.5162 loss: 3.4953 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0304 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.4649 2023/02/02 14:43:11 - mmengine - INFO - Epoch(train) [180][ 480/1879] lr: 2.6701e-02 eta: 20:31:33 time: 0.4851 data_time: 0.0280 memory: 18104 grad_norm: 4.5664 loss: 3.3683 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.9733 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.3949 2023/02/02 14:43:21 - mmengine - INFO - Epoch(train) [180][ 500/1879] lr: 2.6694e-02 eta: 20:31:23 time: 0.5128 data_time: 0.0362 memory: 18104 grad_norm: 4.4009 loss: 3.4678 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0099 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.4579 2023/02/02 14:43:31 - mmengine - INFO - Epoch(train) [180][ 520/1879] lr: 2.6687e-02 eta: 20:31:05 time: 0.4768 data_time: 0.0293 memory: 18104 grad_norm: 4.4736 loss: 3.3801 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.9417 top1_acc_1: 0.5529 top5_acc_1: 0.7647 loss_cls_1: 1.4384 2023/02/02 14:43:41 - mmengine - INFO - Epoch(train) [180][ 540/1879] lr: 2.6681e-02 eta: 20:30:53 time: 0.5049 data_time: 0.0439 memory: 18104 grad_norm: 4.4412 loss: 3.3839 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.9979 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.3860 2023/02/02 14:43:51 - mmengine - INFO - Epoch(train) [180][ 560/1879] lr: 2.6674e-02 eta: 20:30:39 time: 0.4959 data_time: 0.0288 memory: 18104 grad_norm: 4.4062 loss: 3.2415 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.8348 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 1.4068 2023/02/02 14:44:01 - mmengine - INFO - Epoch(train) [180][ 580/1879] lr: 2.6667e-02 eta: 20:30:31 time: 0.5230 data_time: 0.0355 memory: 18104 grad_norm: 4.4710 loss: 3.4105 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9598 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.4507 2023/02/02 14:44:11 - mmengine - INFO - Epoch(train) [180][ 600/1879] lr: 2.6661e-02 eta: 20:30:18 time: 0.4988 data_time: 0.0375 memory: 18104 grad_norm: 4.5381 loss: 3.3512 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9333 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.4179 2023/02/02 14:44:21 - mmengine - INFO - Epoch(train) [180][ 620/1879] lr: 2.6654e-02 eta: 20:30:08 time: 0.5110 data_time: 0.0369 memory: 18104 grad_norm: 4.5453 loss: 3.4579 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0208 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.4370 2023/02/02 14:44:31 - mmengine - INFO - Epoch(train) [180][ 640/1879] lr: 2.6647e-02 eta: 20:29:56 time: 0.5074 data_time: 0.0286 memory: 18104 grad_norm: 4.5512 loss: 3.5938 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2154 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.3784 2023/02/02 14:44:41 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 14:44:42 - mmengine - INFO - Epoch(train) [180][ 660/1879] lr: 2.6641e-02 eta: 20:29:47 time: 0.5142 data_time: 0.0425 memory: 18104 grad_norm: 4.4431 loss: 3.2720 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.8777 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.3944 2023/02/02 14:44:52 - mmengine - INFO - Epoch(train) [180][ 680/1879] lr: 2.6634e-02 eta: 20:29:34 time: 0.5025 data_time: 0.0287 memory: 18104 grad_norm: 4.5698 loss: 3.4031 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9733 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.4298 2023/02/02 14:45:02 - mmengine - INFO - Epoch(train) [180][ 700/1879] lr: 2.6627e-02 eta: 20:29:23 time: 0.5093 data_time: 0.0389 memory: 18104 grad_norm: 4.4616 loss: 3.6098 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.1874 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.4225 2023/02/02 14:45:12 - mmengine - INFO - Epoch(train) [180][ 720/1879] lr: 2.6621e-02 eta: 20:29:12 time: 0.5041 data_time: 0.0428 memory: 18104 grad_norm: 4.4591 loss: 3.2205 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8344 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.3861 2023/02/02 14:45:22 - mmengine - INFO - Epoch(train) [180][ 740/1879] lr: 2.6614e-02 eta: 20:28:59 time: 0.4996 data_time: 0.0381 memory: 18104 grad_norm: 4.5468 loss: 3.3832 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.8989 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.4843 2023/02/02 14:45:32 - mmengine - INFO - Epoch(train) [180][ 760/1879] lr: 2.6607e-02 eta: 20:28:46 time: 0.5001 data_time: 0.0281 memory: 18104 grad_norm: 4.5092 loss: 3.5462 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.1858 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.3604 2023/02/02 14:45:42 - mmengine - INFO - Epoch(train) [180][ 780/1879] lr: 2.6601e-02 eta: 20:28:32 time: 0.4949 data_time: 0.0342 memory: 18104 grad_norm: 4.5054 loss: 3.4637 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1176 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.3462 2023/02/02 14:45:52 - mmengine - INFO - Epoch(train) [180][ 800/1879] lr: 2.6594e-02 eta: 20:28:18 time: 0.4959 data_time: 0.0365 memory: 18104 grad_norm: 4.4742 loss: 3.1384 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.7918 top1_acc_1: 0.6824 top5_acc_1: 0.8118 loss_cls_1: 1.3467 2023/02/02 14:46:02 - mmengine - INFO - Epoch(train) [180][ 820/1879] lr: 2.6587e-02 eta: 20:28:07 time: 0.5066 data_time: 0.0366 memory: 18104 grad_norm: 4.3662 loss: 3.0540 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.6612 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.3928 2023/02/02 14:46:12 - mmengine - INFO - Epoch(train) [180][ 840/1879] lr: 2.6581e-02 eta: 20:27:54 time: 0.5007 data_time: 0.0291 memory: 18104 grad_norm: 4.3200 loss: 3.2775 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8405 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.4370 2023/02/02 14:46:22 - mmengine - INFO - Epoch(train) [180][ 860/1879] lr: 2.6574e-02 eta: 20:27:44 time: 0.5126 data_time: 0.0454 memory: 18104 grad_norm: 4.4726 loss: 3.4071 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.9624 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.4447 2023/02/02 14:46:32 - mmengine - INFO - Epoch(train) [180][ 880/1879] lr: 2.6567e-02 eta: 20:27:28 time: 0.4832 data_time: 0.0298 memory: 18104 grad_norm: 4.4416 loss: 3.3873 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0255 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.3618 2023/02/02 14:46:43 - mmengine - INFO - Epoch(train) [180][ 900/1879] lr: 2.6561e-02 eta: 20:27:19 time: 0.5166 data_time: 0.0384 memory: 18104 grad_norm: 4.4208 loss: 3.1046 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6770 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.4276 2023/02/02 14:46:52 - mmengine - INFO - Epoch(train) [180][ 920/1879] lr: 2.6554e-02 eta: 20:27:04 time: 0.4882 data_time: 0.0365 memory: 18104 grad_norm: 4.4353 loss: 3.1948 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9115 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.2833 2023/02/02 14:47:03 - mmengine - INFO - Epoch(train) [180][ 940/1879] lr: 2.6547e-02 eta: 20:26:54 time: 0.5152 data_time: 0.0358 memory: 18104 grad_norm: 4.5101 loss: 3.4411 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0740 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.3671 2023/02/02 14:47:13 - mmengine - INFO - Epoch(train) [180][ 960/1879] lr: 2.6541e-02 eta: 20:26:41 time: 0.4977 data_time: 0.0314 memory: 18104 grad_norm: 4.4877 loss: 3.2601 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8364 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.4238 2023/02/02 14:47:23 - mmengine - INFO - Epoch(train) [180][ 980/1879] lr: 2.6534e-02 eta: 20:26:30 time: 0.5092 data_time: 0.0451 memory: 18104 grad_norm: 4.3888 loss: 3.3182 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9088 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.4095 2023/02/02 14:47:32 - mmengine - INFO - Epoch(train) [180][1000/1879] lr: 2.6527e-02 eta: 20:26:14 time: 0.4819 data_time: 0.0295 memory: 18104 grad_norm: 4.3956 loss: 3.3887 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9934 top1_acc_1: 0.7412 top5_acc_1: 0.8353 loss_cls_1: 1.3953 2023/02/02 14:47:43 - mmengine - INFO - Epoch(train) [180][1020/1879] lr: 2.6521e-02 eta: 20:26:02 time: 0.5070 data_time: 0.0366 memory: 18104 grad_norm: 4.4845 loss: 3.4490 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0895 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.3595 2023/02/02 14:47:53 - mmengine - INFO - Epoch(train) [180][1040/1879] lr: 2.6514e-02 eta: 20:25:50 time: 0.4994 data_time: 0.0309 memory: 18104 grad_norm: 4.4379 loss: 3.3698 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0395 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.3303 2023/02/02 14:48:03 - mmengine - INFO - Epoch(train) [180][1060/1879] lr: 2.6508e-02 eta: 20:25:37 time: 0.5029 data_time: 0.0436 memory: 18104 grad_norm: 4.4613 loss: 3.2691 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8684 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.4007 2023/02/02 14:48:13 - mmengine - INFO - Epoch(train) [180][1080/1879] lr: 2.6501e-02 eta: 20:25:24 time: 0.4980 data_time: 0.0288 memory: 18104 grad_norm: 4.5054 loss: 3.3013 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8700 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.4312 2023/02/02 14:48:23 - mmengine - INFO - Epoch(train) [180][1100/1879] lr: 2.6494e-02 eta: 20:25:13 time: 0.5065 data_time: 0.0358 memory: 18104 grad_norm: 4.3793 loss: 3.4312 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.9600 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.4713 2023/02/02 14:48:33 - mmengine - INFO - Epoch(train) [180][1120/1879] lr: 2.6488e-02 eta: 20:24:58 time: 0.4903 data_time: 0.0333 memory: 18104 grad_norm: 4.4280 loss: 3.3742 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9601 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.4141 2023/02/02 14:48:43 - mmengine - INFO - Epoch(train) [180][1140/1879] lr: 2.6481e-02 eta: 20:24:48 time: 0.5114 data_time: 0.0349 memory: 18104 grad_norm: 4.5414 loss: 3.7679 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.3244 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.4436 2023/02/02 14:48:53 - mmengine - INFO - Epoch(train) [180][1160/1879] lr: 2.6474e-02 eta: 20:24:38 time: 0.5139 data_time: 0.0318 memory: 18104 grad_norm: 4.4867 loss: 3.4269 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9376 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.4892 2023/02/02 14:49:03 - mmengine - INFO - Epoch(train) [180][1180/1879] lr: 2.6468e-02 eta: 20:24:27 time: 0.5052 data_time: 0.0318 memory: 18104 grad_norm: 4.4637 loss: 3.4067 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0149 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.3918 2023/02/02 14:49:13 - mmengine - INFO - Epoch(train) [180][1200/1879] lr: 2.6461e-02 eta: 20:24:13 time: 0.4951 data_time: 0.0336 memory: 18104 grad_norm: 4.4624 loss: 3.3236 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9394 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.3842 2023/02/02 14:49:24 - mmengine - INFO - Epoch(train) [180][1220/1879] lr: 2.6454e-02 eta: 20:24:04 time: 0.5187 data_time: 0.0339 memory: 18104 grad_norm: 4.4929 loss: 3.4634 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0275 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 1.4359 2023/02/02 14:49:34 - mmengine - INFO - Epoch(train) [180][1240/1879] lr: 2.6448e-02 eta: 20:23:53 time: 0.5062 data_time: 0.0333 memory: 18104 grad_norm: 4.4205 loss: 3.3536 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8716 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.4821 2023/02/02 14:49:44 - mmengine - INFO - Epoch(train) [180][1260/1879] lr: 2.6441e-02 eta: 20:23:44 time: 0.5173 data_time: 0.0384 memory: 18104 grad_norm: 4.4186 loss: 3.3646 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9555 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.4091 2023/02/02 14:49:54 - mmengine - INFO - Epoch(train) [180][1280/1879] lr: 2.6434e-02 eta: 20:23:32 time: 0.5052 data_time: 0.0339 memory: 18104 grad_norm: 4.5339 loss: 3.4660 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.9719 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.4941 2023/02/02 14:50:05 - mmengine - INFO - Epoch(train) [180][1300/1879] lr: 2.6428e-02 eta: 20:23:26 time: 0.5327 data_time: 0.0323 memory: 18104 grad_norm: 4.4985 loss: 3.6032 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.1225 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.4807 2023/02/02 14:50:15 - mmengine - INFO - Epoch(train) [180][1320/1879] lr: 2.6421e-02 eta: 20:23:14 time: 0.5041 data_time: 0.0339 memory: 18104 grad_norm: 4.4521 loss: 3.4461 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0437 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.4024 2023/02/02 14:50:25 - mmengine - INFO - Epoch(train) [180][1340/1879] lr: 2.6414e-02 eta: 20:23:05 time: 0.5155 data_time: 0.0340 memory: 18104 grad_norm: 4.4103 loss: 3.4558 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0217 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.4342 2023/02/02 14:50:36 - mmengine - INFO - Epoch(train) [180][1360/1879] lr: 2.6408e-02 eta: 20:22:57 time: 0.5264 data_time: 0.0337 memory: 18104 grad_norm: 4.4486 loss: 3.4966 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0510 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.4456 2023/02/02 14:50:46 - mmengine - INFO - Epoch(train) [180][1380/1879] lr: 2.6401e-02 eta: 20:22:46 time: 0.5084 data_time: 0.0395 memory: 18104 grad_norm: 4.4663 loss: 3.4074 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.0377 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.3697 2023/02/02 14:50:56 - mmengine - INFO - Epoch(train) [180][1400/1879] lr: 2.6395e-02 eta: 20:22:35 time: 0.5054 data_time: 0.0323 memory: 18104 grad_norm: 4.5405 loss: 3.5696 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0901 top1_acc_1: 0.5647 top5_acc_1: 0.7412 loss_cls_1: 1.4795 2023/02/02 14:51:07 - mmengine - INFO - Epoch(train) [180][1420/1879] lr: 2.6388e-02 eta: 20:22:26 time: 0.5215 data_time: 0.0344 memory: 18104 grad_norm: 4.6106 loss: 3.4723 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 2.0567 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.4156 2023/02/02 14:51:17 - mmengine - INFO - Epoch(train) [180][1440/1879] lr: 2.6381e-02 eta: 20:22:15 time: 0.5046 data_time: 0.0402 memory: 18104 grad_norm: 4.5329 loss: 3.3188 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9331 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.3857 2023/02/02 14:51:27 - mmengine - INFO - Epoch(train) [180][1460/1879] lr: 2.6375e-02 eta: 20:22:04 time: 0.5076 data_time: 0.0308 memory: 18104 grad_norm: 4.4515 loss: 3.5857 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0882 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.4976 2023/02/02 14:51:37 - mmengine - INFO - Epoch(train) [180][1480/1879] lr: 2.6368e-02 eta: 20:21:53 time: 0.5092 data_time: 0.0283 memory: 18104 grad_norm: 4.3514 loss: 3.3987 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0000 top1_acc_1: 0.6824 top5_acc_1: 0.8118 loss_cls_1: 1.3987 2023/02/02 14:51:48 - mmengine - INFO - Epoch(train) [180][1500/1879] lr: 2.6361e-02 eta: 20:21:46 time: 0.5304 data_time: 0.0440 memory: 18104 grad_norm: 4.3872 loss: 3.2658 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.8267 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.4391 2023/02/02 14:51:58 - mmengine - INFO - Epoch(train) [180][1520/1879] lr: 2.6355e-02 eta: 20:21:38 time: 0.5206 data_time: 0.0320 memory: 18104 grad_norm: 4.5314 loss: 3.4111 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9968 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.4143 2023/02/02 14:52:09 - mmengine - INFO - Epoch(train) [180][1540/1879] lr: 2.6348e-02 eta: 20:21:29 time: 0.5199 data_time: 0.0327 memory: 18104 grad_norm: 4.4400 loss: 3.6261 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2052 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.4209 2023/02/02 14:52:19 - mmengine - INFO - Epoch(train) [180][1560/1879] lr: 2.6341e-02 eta: 20:21:24 time: 0.5384 data_time: 0.0391 memory: 18104 grad_norm: 4.4761 loss: 3.3590 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.9107 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.4483 2023/02/02 14:52:30 - mmengine - INFO - Epoch(train) [180][1580/1879] lr: 2.6335e-02 eta: 20:21:20 time: 0.5475 data_time: 0.0432 memory: 18104 grad_norm: 4.5413 loss: 3.3814 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9040 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.4774 2023/02/02 14:52:41 - mmengine - INFO - Epoch(train) [180][1600/1879] lr: 2.6328e-02 eta: 20:21:12 time: 0.5233 data_time: 0.0308 memory: 18104 grad_norm: 4.3130 loss: 3.3285 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8772 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.4513 2023/02/02 14:52:52 - mmengine - INFO - Epoch(train) [180][1620/1879] lr: 2.6322e-02 eta: 20:21:11 time: 0.5554 data_time: 0.0334 memory: 18104 grad_norm: 4.3594 loss: 3.3208 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.8883 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.4324 2023/02/02 14:53:03 - mmengine - INFO - Epoch(train) [180][1640/1879] lr: 2.6315e-02 eta: 20:21:04 time: 0.5318 data_time: 0.0363 memory: 18104 grad_norm: 4.4517 loss: 3.3283 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8789 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4494 2023/02/02 14:53:13 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 14:53:14 - mmengine - INFO - Epoch(train) [180][1660/1879] lr: 2.6308e-02 eta: 20:21:02 time: 0.5527 data_time: 0.0326 memory: 18104 grad_norm: 4.4287 loss: 3.4910 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0151 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.4759 2023/02/02 14:53:25 - mmengine - INFO - Epoch(train) [180][1680/1879] lr: 2.6302e-02 eta: 20:20:58 time: 0.5475 data_time: 0.0336 memory: 18104 grad_norm: 4.5287 loss: 3.4762 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1176 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.3587 2023/02/02 14:53:36 - mmengine - INFO - Epoch(train) [180][1700/1879] lr: 2.6295e-02 eta: 20:20:57 time: 0.5578 data_time: 0.0389 memory: 18104 grad_norm: 4.5690 loss: 3.5804 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0819 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.4984 2023/02/02 14:53:47 - mmengine - INFO - Epoch(train) [180][1720/1879] lr: 2.6288e-02 eta: 20:20:52 time: 0.5431 data_time: 0.0297 memory: 18104 grad_norm: 4.4834 loss: 3.5988 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.1597 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.4390 2023/02/02 14:53:57 - mmengine - INFO - Epoch(train) [180][1740/1879] lr: 2.6282e-02 eta: 20:20:45 time: 0.5258 data_time: 0.0328 memory: 18104 grad_norm: 4.3347 loss: 3.2823 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.8405 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.4419 2023/02/02 14:54:08 - mmengine - INFO - Epoch(train) [180][1760/1879] lr: 2.6275e-02 eta: 20:20:37 time: 0.5278 data_time: 0.0309 memory: 18104 grad_norm: 4.4139 loss: 3.5101 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.0927 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4174 2023/02/02 14:54:19 - mmengine - INFO - Epoch(train) [180][1780/1879] lr: 2.6269e-02 eta: 20:20:31 time: 0.5339 data_time: 0.0443 memory: 18104 grad_norm: 4.5627 loss: 3.4407 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9974 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.4434 2023/02/02 14:54:29 - mmengine - INFO - Epoch(train) [180][1800/1879] lr: 2.6262e-02 eta: 20:20:26 time: 0.5390 data_time: 0.0314 memory: 18104 grad_norm: 4.6669 loss: 3.5685 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.1757 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.3927 2023/02/02 14:54:40 - mmengine - INFO - Epoch(train) [180][1820/1879] lr: 2.6255e-02 eta: 20:20:21 time: 0.5419 data_time: 0.0314 memory: 18104 grad_norm: 4.5584 loss: 3.5065 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0171 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.4894 2023/02/02 14:54:51 - mmengine - INFO - Epoch(train) [180][1840/1879] lr: 2.6249e-02 eta: 20:20:14 time: 0.5258 data_time: 0.0310 memory: 18104 grad_norm: 4.4493 loss: 3.3795 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 1.9978 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.3817 2023/02/02 14:55:02 - mmengine - INFO - Epoch(train) [180][1860/1879] lr: 2.6242e-02 eta: 20:20:10 time: 0.5453 data_time: 0.0340 memory: 18104 grad_norm: 4.4501 loss: 3.4565 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 2.0221 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.4344 2023/02/02 14:55:11 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 14:55:11 - mmengine - INFO - Epoch(train) [180][1879/1879] lr: 2.6236e-02 eta: 20:19:58 time: 0.5001 data_time: 0.0312 memory: 18104 grad_norm: 4.4171 loss: 3.1231 top1_acc_0: 0.5714 top5_acc_0: 0.8571 loss_cls_0: 1.7306 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.3924 2023/02/02 14:55:12 - mmengine - INFO - Saving checkpoint at 180 epochs 2023/02/02 14:55:23 - mmengine - INFO - Epoch(val) [180][ 20/155] eta: 0:01:02 time: 0.4593 data_time: 0.3469 memory: 1900 2023/02/02 14:55:31 - mmengine - INFO - Epoch(val) [180][ 40/155] eta: 0:00:51 time: 0.4428 data_time: 0.3314 memory: 1900 2023/02/02 14:55:40 - mmengine - INFO - Epoch(val) [180][ 60/155] eta: 0:00:41 time: 0.4173 data_time: 0.3066 memory: 1900 2023/02/02 14:55:49 - mmengine - INFO - Epoch(val) [180][ 80/155] eta: 0:00:33 time: 0.4610 data_time: 0.3500 memory: 1900 2023/02/02 14:55:58 - mmengine - INFO - Epoch(val) [180][100/155] eta: 0:00:24 time: 0.4504 data_time: 0.3391 memory: 1900 2023/02/02 14:56:07 - mmengine - INFO - Epoch(val) [180][120/155] eta: 0:00:15 time: 0.4530 data_time: 0.3410 memory: 1900 2023/02/02 14:56:16 - mmengine - INFO - Epoch(val) [180][140/155] eta: 0:00:06 time: 0.4351 data_time: 0.3235 memory: 1900 2023/02/02 14:56:23 - mmengine - INFO - Epoch(val) [180][155/155] acc/top1: 0.5927 acc/top5: 0.8231 acc/mean1: 0.5926 2023/02/02 14:56:23 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_176.pth is removed 2023/02/02 14:56:26 - mmengine - INFO - The best checkpoint with 0.5927 acc/top1 at 180 epoch is saved to best_acc/top1_epoch_180.pth. 2023/02/02 14:56:40 - mmengine - INFO - Epoch(train) [181][ 20/1879] lr: 2.6229e-02 eta: 20:20:23 time: 0.7021 data_time: 0.2376 memory: 18104 grad_norm: 4.3198 loss: 3.4277 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 2.0174 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 1.4103 2023/02/02 14:56:49 - mmengine - INFO - Epoch(train) [181][ 40/1879] lr: 2.6222e-02 eta: 20:20:08 time: 0.4850 data_time: 0.0327 memory: 18104 grad_norm: 4.4353 loss: 3.4134 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0112 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.4022 2023/02/02 14:57:00 - mmengine - INFO - Epoch(train) [181][ 60/1879] lr: 2.6216e-02 eta: 20:19:58 time: 0.5172 data_time: 0.0352 memory: 18104 grad_norm: 4.3297 loss: 3.2445 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8944 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.3501 2023/02/02 14:57:10 - mmengine - INFO - Epoch(train) [181][ 80/1879] lr: 2.6209e-02 eta: 20:19:51 time: 0.5303 data_time: 0.0466 memory: 18104 grad_norm: 4.3845 loss: 3.4263 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1649 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.2614 2023/02/02 14:57:21 - mmengine - INFO - Epoch(train) [181][ 100/1879] lr: 2.6203e-02 eta: 20:19:40 time: 0.5046 data_time: 0.0356 memory: 18104 grad_norm: 4.5492 loss: 3.1843 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8240 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.3602 2023/02/02 14:57:30 - mmengine - INFO - Epoch(train) [181][ 120/1879] lr: 2.6196e-02 eta: 20:19:24 time: 0.4846 data_time: 0.0323 memory: 18104 grad_norm: 4.4411 loss: 3.1799 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8454 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.3345 2023/02/02 14:57:41 - mmengine - INFO - Epoch(train) [181][ 140/1879] lr: 2.6189e-02 eta: 20:19:18 time: 0.5342 data_time: 0.0362 memory: 18104 grad_norm: 4.3879 loss: 3.3574 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.9958 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.3616 2023/02/02 14:57:51 - mmengine - INFO - Epoch(train) [181][ 160/1879] lr: 2.6183e-02 eta: 20:19:04 time: 0.4926 data_time: 0.0392 memory: 18104 grad_norm: 4.4066 loss: 3.3922 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9748 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 1.4174 2023/02/02 14:58:01 - mmengine - INFO - Epoch(train) [181][ 180/1879] lr: 2.6176e-02 eta: 20:18:50 time: 0.4957 data_time: 0.0364 memory: 18104 grad_norm: 4.5102 loss: 3.1328 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8128 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.3200 2023/02/02 14:58:10 - mmengine - INFO - Epoch(train) [181][ 200/1879] lr: 2.6169e-02 eta: 20:18:33 time: 0.4764 data_time: 0.0308 memory: 18104 grad_norm: 4.5454 loss: 3.4464 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 1.9886 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.4578 2023/02/02 14:58:21 - mmengine - INFO - Epoch(train) [181][ 220/1879] lr: 2.6163e-02 eta: 20:18:24 time: 0.5201 data_time: 0.0381 memory: 18104 grad_norm: 4.3901 loss: 3.1533 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7588 top1_acc_1: 0.7176 top5_acc_1: 0.8235 loss_cls_1: 1.3945 2023/02/02 14:58:31 - mmengine - INFO - Epoch(train) [181][ 240/1879] lr: 2.6156e-02 eta: 20:18:12 time: 0.4990 data_time: 0.0309 memory: 18104 grad_norm: 4.3504 loss: 3.1639 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.8035 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.3604 2023/02/02 14:58:41 - mmengine - INFO - Epoch(train) [181][ 260/1879] lr: 2.6150e-02 eta: 20:17:59 time: 0.4983 data_time: 0.0344 memory: 18104 grad_norm: 4.4702 loss: 3.4659 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0222 top1_acc_1: 0.5529 top5_acc_1: 0.8235 loss_cls_1: 1.4437 2023/02/02 14:58:51 - mmengine - INFO - Epoch(train) [181][ 280/1879] lr: 2.6143e-02 eta: 20:17:44 time: 0.4900 data_time: 0.0319 memory: 18104 grad_norm: 4.5244 loss: 3.4306 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9957 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.4349 2023/02/02 14:59:01 - mmengine - INFO - Epoch(train) [181][ 300/1879] lr: 2.6136e-02 eta: 20:17:35 time: 0.5170 data_time: 0.0343 memory: 18104 grad_norm: 4.4395 loss: 3.5356 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.1276 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.4080 2023/02/02 14:59:11 - mmengine - INFO - Epoch(train) [181][ 320/1879] lr: 2.6130e-02 eta: 20:17:22 time: 0.4993 data_time: 0.0322 memory: 18104 grad_norm: 4.4494 loss: 3.2437 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.8702 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.3735 2023/02/02 14:59:21 - mmengine - INFO - Epoch(train) [181][ 340/1879] lr: 2.6123e-02 eta: 20:17:09 time: 0.4991 data_time: 0.0381 memory: 18104 grad_norm: 4.4806 loss: 3.3452 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.9994 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.3457 2023/02/02 14:59:31 - mmengine - INFO - Epoch(train) [181][ 360/1879] lr: 2.6117e-02 eta: 20:16:57 time: 0.5044 data_time: 0.0307 memory: 18104 grad_norm: 4.4250 loss: 3.6172 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.2140 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.4032 2023/02/02 14:59:41 - mmengine - INFO - Epoch(train) [181][ 380/1879] lr: 2.6110e-02 eta: 20:16:47 time: 0.5104 data_time: 0.0430 memory: 18104 grad_norm: 4.3542 loss: 3.4228 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.9998 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.4229 2023/02/02 14:59:51 - mmengine - INFO - Epoch(train) [181][ 400/1879] lr: 2.6103e-02 eta: 20:16:34 time: 0.4961 data_time: 0.0346 memory: 18104 grad_norm: 4.4504 loss: 3.2767 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9424 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 1.3343 2023/02/02 15:00:01 - mmengine - INFO - Epoch(train) [181][ 420/1879] lr: 2.6097e-02 eta: 20:16:20 time: 0.4962 data_time: 0.0368 memory: 18104 grad_norm: 4.5127 loss: 3.5608 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1757 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.3851 2023/02/02 15:00:11 - mmengine - INFO - Epoch(train) [181][ 440/1879] lr: 2.6090e-02 eta: 20:16:08 time: 0.5040 data_time: 0.0313 memory: 18104 grad_norm: 4.5115 loss: 3.3196 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.9805 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.3391 2023/02/02 15:00:22 - mmengine - INFO - Epoch(train) [181][ 460/1879] lr: 2.6083e-02 eta: 20:16:00 time: 0.5227 data_time: 0.0467 memory: 18104 grad_norm: 4.4071 loss: 3.0045 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6416 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.3629 2023/02/02 15:00:32 - mmengine - INFO - Epoch(train) [181][ 480/1879] lr: 2.6077e-02 eta: 20:15:47 time: 0.4995 data_time: 0.0332 memory: 18104 grad_norm: 4.5479 loss: 3.4017 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 1.9722 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.4295 2023/02/02 15:00:42 - mmengine - INFO - Epoch(train) [181][ 500/1879] lr: 2.6070e-02 eta: 20:15:35 time: 0.5004 data_time: 0.0357 memory: 18104 grad_norm: 4.4713 loss: 3.6114 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1151 top1_acc_1: 0.5412 top5_acc_1: 0.8118 loss_cls_1: 1.4963 2023/02/02 15:00:52 - mmengine - INFO - Epoch(train) [181][ 520/1879] lr: 2.6064e-02 eta: 20:15:26 time: 0.5223 data_time: 0.0329 memory: 18104 grad_norm: 4.4476 loss: 3.1814 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7971 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.3843 2023/02/02 15:01:02 - mmengine - INFO - Epoch(train) [181][ 540/1879] lr: 2.6057e-02 eta: 20:15:15 time: 0.5055 data_time: 0.0469 memory: 18104 grad_norm: 4.5946 loss: 3.4962 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0793 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.4169 2023/02/02 15:01:12 - mmengine - INFO - Epoch(train) [181][ 560/1879] lr: 2.6050e-02 eta: 20:15:03 time: 0.5050 data_time: 0.0318 memory: 18104 grad_norm: 4.5403 loss: 3.2898 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8889 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.4009 2023/02/02 15:01:23 - mmengine - INFO - Epoch(train) [181][ 580/1879] lr: 2.6044e-02 eta: 20:14:53 time: 0.5151 data_time: 0.0367 memory: 18104 grad_norm: 4.4055 loss: 3.3685 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9974 top1_acc_1: 0.7882 top5_acc_1: 0.8706 loss_cls_1: 1.3711 2023/02/02 15:01:33 - mmengine - INFO - Epoch(train) [181][ 600/1879] lr: 2.6037e-02 eta: 20:14:44 time: 0.5156 data_time: 0.0313 memory: 18104 grad_norm: 4.4182 loss: 3.4062 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9263 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4798 2023/02/02 15:01:43 - mmengine - INFO - Epoch(train) [181][ 620/1879] lr: 2.6031e-02 eta: 20:14:33 time: 0.5112 data_time: 0.0440 memory: 18104 grad_norm: 4.4876 loss: 3.6509 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.2078 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.4431 2023/02/02 15:01:53 - mmengine - INFO - Epoch(train) [181][ 640/1879] lr: 2.6024e-02 eta: 20:14:19 time: 0.4916 data_time: 0.0318 memory: 18104 grad_norm: 4.4066 loss: 3.3924 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.9977 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 1.3947 2023/02/02 15:02:03 - mmengine - INFO - Epoch(train) [181][ 660/1879] lr: 2.6017e-02 eta: 20:14:08 time: 0.5085 data_time: 0.0409 memory: 18104 grad_norm: 4.3554 loss: 3.2176 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.8075 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.4101 2023/02/02 15:02:14 - mmengine - INFO - Epoch(train) [181][ 680/1879] lr: 2.6011e-02 eta: 20:13:57 time: 0.5074 data_time: 0.0301 memory: 18104 grad_norm: 4.4811 loss: 3.4946 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0092 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.4854 2023/02/02 15:02:24 - mmengine - INFO - Epoch(train) [181][ 700/1879] lr: 2.6004e-02 eta: 20:13:50 time: 0.5272 data_time: 0.0562 memory: 18104 grad_norm: 4.5689 loss: 3.5960 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2292 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.3668 2023/02/02 15:02:34 - mmengine - INFO - Epoch(train) [181][ 720/1879] lr: 2.5998e-02 eta: 20:13:38 time: 0.5043 data_time: 0.0277 memory: 18104 grad_norm: 4.4966 loss: 3.2732 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8347 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.4385 2023/02/02 15:02:44 - mmengine - INFO - Epoch(train) [181][ 740/1879] lr: 2.5991e-02 eta: 20:13:26 time: 0.5024 data_time: 0.0379 memory: 18104 grad_norm: 4.4941 loss: 3.6677 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.2019 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.4658 2023/02/02 15:02:55 - mmengine - INFO - Epoch(train) [181][ 760/1879] lr: 2.5984e-02 eta: 20:13:17 time: 0.5198 data_time: 0.0392 memory: 18104 grad_norm: 4.4772 loss: 3.1598 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.7851 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.3747 2023/02/02 15:03:05 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 15:03:05 - mmengine - INFO - Epoch(train) [181][ 780/1879] lr: 2.5978e-02 eta: 20:13:07 time: 0.5156 data_time: 0.0382 memory: 18104 grad_norm: 4.4654 loss: 3.4550 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.9765 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4785 2023/02/02 15:03:15 - mmengine - INFO - Epoch(train) [181][ 800/1879] lr: 2.5971e-02 eta: 20:12:55 time: 0.5016 data_time: 0.0295 memory: 18104 grad_norm: 4.5451 loss: 3.6200 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1999 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.4202 2023/02/02 15:03:26 - mmengine - INFO - Epoch(train) [181][ 820/1879] lr: 2.5964e-02 eta: 20:12:49 time: 0.5384 data_time: 0.0570 memory: 18104 grad_norm: 4.4599 loss: 3.3791 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9776 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.4016 2023/02/02 15:03:36 - mmengine - INFO - Epoch(train) [181][ 840/1879] lr: 2.5958e-02 eta: 20:12:38 time: 0.5074 data_time: 0.0319 memory: 18104 grad_norm: 4.4540 loss: 3.3756 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.9689 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.4067 2023/02/02 15:03:46 - mmengine - INFO - Epoch(train) [181][ 860/1879] lr: 2.5951e-02 eta: 20:12:27 time: 0.5101 data_time: 0.0386 memory: 18104 grad_norm: 4.4356 loss: 3.6402 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.1993 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.4409 2023/02/02 15:03:56 - mmengine - INFO - Epoch(train) [181][ 880/1879] lr: 2.5945e-02 eta: 20:12:16 time: 0.5033 data_time: 0.0404 memory: 18104 grad_norm: 4.3983 loss: 3.2545 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8596 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.3949 2023/02/02 15:04:07 - mmengine - INFO - Epoch(train) [181][ 900/1879] lr: 2.5938e-02 eta: 20:12:09 time: 0.5321 data_time: 0.0388 memory: 18104 grad_norm: 4.5802 loss: 3.5249 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1486 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.3763 2023/02/02 15:04:17 - mmengine - INFO - Epoch(train) [181][ 920/1879] lr: 2.5931e-02 eta: 20:11:56 time: 0.5002 data_time: 0.0300 memory: 18104 grad_norm: 4.5910 loss: 3.4919 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0889 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.4030 2023/02/02 15:04:28 - mmengine - INFO - Epoch(train) [181][ 940/1879] lr: 2.5925e-02 eta: 20:11:49 time: 0.5271 data_time: 0.0581 memory: 18104 grad_norm: 4.4772 loss: 3.4346 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0187 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.4158 2023/02/02 15:04:38 - mmengine - INFO - Epoch(train) [181][ 960/1879] lr: 2.5918e-02 eta: 20:11:37 time: 0.5056 data_time: 0.0303 memory: 18104 grad_norm: 4.5328 loss: 3.4126 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0123 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.4003 2023/02/02 15:04:48 - mmengine - INFO - Epoch(train) [181][ 980/1879] lr: 2.5912e-02 eta: 20:11:29 time: 0.5218 data_time: 0.0374 memory: 18104 grad_norm: 4.6158 loss: 3.4705 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0252 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.4454 2023/02/02 15:04:58 - mmengine - INFO - Epoch(train) [181][1000/1879] lr: 2.5905e-02 eta: 20:11:15 time: 0.4931 data_time: 0.0291 memory: 18104 grad_norm: 4.5508 loss: 3.4672 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1158 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.3513 2023/02/02 15:05:08 - mmengine - INFO - Epoch(train) [181][1020/1879] lr: 2.5898e-02 eta: 20:11:06 time: 0.5174 data_time: 0.0444 memory: 18104 grad_norm: 4.5687 loss: 3.2624 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.8069 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.4555 2023/02/02 15:05:19 - mmengine - INFO - Epoch(train) [181][1040/1879] lr: 2.5892e-02 eta: 20:10:54 time: 0.5056 data_time: 0.0304 memory: 18104 grad_norm: 4.5184 loss: 3.3655 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0027 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.3628 2023/02/02 15:05:29 - mmengine - INFO - Epoch(train) [181][1060/1879] lr: 2.5885e-02 eta: 20:10:45 time: 0.5166 data_time: 0.0370 memory: 18104 grad_norm: 4.4142 loss: 3.3600 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9856 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.3744 2023/02/02 15:05:39 - mmengine - INFO - Epoch(train) [181][1080/1879] lr: 2.5879e-02 eta: 20:10:33 time: 0.5038 data_time: 0.0351 memory: 18104 grad_norm: 4.4972 loss: 3.4561 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9655 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.4906 2023/02/02 15:05:49 - mmengine - INFO - Epoch(train) [181][1100/1879] lr: 2.5872e-02 eta: 20:10:23 time: 0.5173 data_time: 0.0376 memory: 18104 grad_norm: 4.4978 loss: 3.4496 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9773 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.4722 2023/02/02 15:06:00 - mmengine - INFO - Epoch(train) [181][1120/1879] lr: 2.5865e-02 eta: 20:10:12 time: 0.5058 data_time: 0.0303 memory: 18104 grad_norm: 4.5780 loss: 3.6708 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.2564 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.4144 2023/02/02 15:06:10 - mmengine - INFO - Epoch(train) [181][1140/1879] lr: 2.5859e-02 eta: 20:10:02 time: 0.5167 data_time: 0.0467 memory: 18104 grad_norm: 4.4645 loss: 3.3974 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9764 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.4210 2023/02/02 15:06:20 - mmengine - INFO - Epoch(train) [181][1160/1879] lr: 2.5852e-02 eta: 20:09:49 time: 0.4930 data_time: 0.0287 memory: 18104 grad_norm: 4.4516 loss: 3.2900 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8940 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.3960 2023/02/02 15:06:30 - mmengine - INFO - Epoch(train) [181][1180/1879] lr: 2.5846e-02 eta: 20:09:42 time: 0.5315 data_time: 0.0383 memory: 18104 grad_norm: 4.6023 loss: 3.6108 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 2.2196 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.3912 2023/02/02 15:06:41 - mmengine - INFO - Epoch(train) [181][1200/1879] lr: 2.5839e-02 eta: 20:09:30 time: 0.5011 data_time: 0.0371 memory: 18104 grad_norm: 4.5555 loss: 3.4901 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.0454 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.4447 2023/02/02 15:06:51 - mmengine - INFO - Epoch(train) [181][1220/1879] lr: 2.5833e-02 eta: 20:09:19 time: 0.5085 data_time: 0.0395 memory: 18104 grad_norm: 4.4570 loss: 3.3899 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0104 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.3795 2023/02/02 15:07:01 - mmengine - INFO - Epoch(train) [181][1240/1879] lr: 2.5826e-02 eta: 20:09:10 time: 0.5241 data_time: 0.0306 memory: 18104 grad_norm: 4.5429 loss: 3.2733 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.9200 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.3533 2023/02/02 15:07:12 - mmengine - INFO - Epoch(train) [181][1260/1879] lr: 2.5819e-02 eta: 20:09:01 time: 0.5151 data_time: 0.0481 memory: 18104 grad_norm: 4.5272 loss: 3.4476 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0143 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.4333 2023/02/02 15:07:22 - mmengine - INFO - Epoch(train) [181][1280/1879] lr: 2.5813e-02 eta: 20:08:49 time: 0.5040 data_time: 0.0304 memory: 18104 grad_norm: 4.4330 loss: 3.3550 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.9821 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.3729 2023/02/02 15:07:32 - mmengine - INFO - Epoch(train) [181][1300/1879] lr: 2.5806e-02 eta: 20:08:40 time: 0.5204 data_time: 0.0374 memory: 18104 grad_norm: 4.4925 loss: 3.3976 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.9927 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.4048 2023/02/02 15:07:43 - mmengine - INFO - Epoch(train) [181][1320/1879] lr: 2.5800e-02 eta: 20:08:31 time: 0.5218 data_time: 0.0297 memory: 18104 grad_norm: 4.5749 loss: 3.3965 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.9370 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.4595 2023/02/02 15:07:53 - mmengine - INFO - Epoch(train) [181][1340/1879] lr: 2.5793e-02 eta: 20:08:22 time: 0.5160 data_time: 0.0467 memory: 18104 grad_norm: 4.5251 loss: 3.1345 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.8038 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.3307 2023/02/02 15:08:03 - mmengine - INFO - Epoch(train) [181][1360/1879] lr: 2.5786e-02 eta: 20:08:11 time: 0.5114 data_time: 0.0300 memory: 18104 grad_norm: 4.4744 loss: 3.1149 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7384 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.3765 2023/02/02 15:08:14 - mmengine - INFO - Epoch(train) [181][1380/1879] lr: 2.5780e-02 eta: 20:08:05 time: 0.5383 data_time: 0.0378 memory: 18104 grad_norm: 4.4819 loss: 3.2562 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7959 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.4604 2023/02/02 15:08:24 - mmengine - INFO - Epoch(train) [181][1400/1879] lr: 2.5773e-02 eta: 20:07:55 time: 0.5115 data_time: 0.0404 memory: 18104 grad_norm: 4.4365 loss: 3.5279 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1410 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.3869 2023/02/02 15:08:34 - mmengine - INFO - Epoch(train) [181][1420/1879] lr: 2.5767e-02 eta: 20:07:44 time: 0.5052 data_time: 0.0376 memory: 18104 grad_norm: 4.4295 loss: 3.2136 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8232 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.3904 2023/02/02 15:08:45 - mmengine - INFO - Epoch(train) [181][1440/1879] lr: 2.5760e-02 eta: 20:07:37 time: 0.5325 data_time: 0.0291 memory: 18104 grad_norm: 4.5169 loss: 3.2506 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8995 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.3511 2023/02/02 15:08:55 - mmengine - INFO - Epoch(train) [181][1460/1879] lr: 2.5753e-02 eta: 20:07:28 time: 0.5197 data_time: 0.0466 memory: 18104 grad_norm: 4.3938 loss: 3.2809 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.8246 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.4563 2023/02/02 15:09:05 - mmengine - INFO - Epoch(train) [181][1480/1879] lr: 2.5747e-02 eta: 20:07:16 time: 0.5041 data_time: 0.0310 memory: 18104 grad_norm: 4.5633 loss: 3.3756 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9191 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.4565 2023/02/02 15:09:16 - mmengine - INFO - Epoch(train) [181][1500/1879] lr: 2.5740e-02 eta: 20:07:06 time: 0.5128 data_time: 0.0377 memory: 18104 grad_norm: 4.5097 loss: 3.2772 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8368 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.4404 2023/02/02 15:09:26 - mmengine - INFO - Epoch(train) [181][1520/1879] lr: 2.5734e-02 eta: 20:06:58 time: 0.5252 data_time: 0.0295 memory: 18104 grad_norm: 4.5130 loss: 3.4722 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9630 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.5091 2023/02/02 15:09:37 - mmengine - INFO - Epoch(train) [181][1540/1879] lr: 2.5727e-02 eta: 20:06:48 time: 0.5135 data_time: 0.0504 memory: 18104 grad_norm: 4.4862 loss: 3.5559 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.0735 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.4823 2023/02/02 15:09:47 - mmengine - INFO - Epoch(train) [181][1560/1879] lr: 2.5721e-02 eta: 20:06:37 time: 0.5130 data_time: 0.0322 memory: 18104 grad_norm: 4.5603 loss: 3.3421 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9498 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.3923 2023/02/02 15:09:57 - mmengine - INFO - Epoch(train) [181][1580/1879] lr: 2.5714e-02 eta: 20:06:30 time: 0.5274 data_time: 0.0368 memory: 18104 grad_norm: 4.4501 loss: 3.4812 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.0346 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.4467 2023/02/02 15:10:08 - mmengine - INFO - Epoch(train) [181][1600/1879] lr: 2.5707e-02 eta: 20:06:20 time: 0.5147 data_time: 0.0307 memory: 18104 grad_norm: 4.4667 loss: 3.4019 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9530 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.4489 2023/02/02 15:10:18 - mmengine - INFO - Epoch(train) [181][1620/1879] lr: 2.5701e-02 eta: 20:06:09 time: 0.5074 data_time: 0.0390 memory: 18104 grad_norm: 4.4570 loss: 3.2802 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9021 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.3780 2023/02/02 15:10:28 - mmengine - INFO - Epoch(train) [181][1640/1879] lr: 2.5694e-02 eta: 20:06:00 time: 0.5211 data_time: 0.0291 memory: 18104 grad_norm: 4.4372 loss: 3.6678 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.1981 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.4697 2023/02/02 15:10:39 - mmengine - INFO - Epoch(train) [181][1660/1879] lr: 2.5688e-02 eta: 20:05:53 time: 0.5347 data_time: 0.0473 memory: 18104 grad_norm: 4.4661 loss: 3.5245 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0673 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.4572 2023/02/02 15:10:49 - mmengine - INFO - Epoch(train) [181][1680/1879] lr: 2.5681e-02 eta: 20:05:43 time: 0.5126 data_time: 0.0307 memory: 18104 grad_norm: 4.5192 loss: 3.3179 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.8962 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.4218 2023/02/02 15:11:00 - mmengine - INFO - Epoch(train) [181][1700/1879] lr: 2.5674e-02 eta: 20:05:35 time: 0.5272 data_time: 0.0366 memory: 18104 grad_norm: 4.5235 loss: 3.5045 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.0272 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.4773 2023/02/02 15:11:11 - mmengine - INFO - Epoch(train) [181][1720/1879] lr: 2.5668e-02 eta: 20:05:29 time: 0.5370 data_time: 0.0309 memory: 18104 grad_norm: 4.3993 loss: 3.4419 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0202 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.4217 2023/02/02 15:11:21 - mmengine - INFO - Epoch(train) [181][1740/1879] lr: 2.5661e-02 eta: 20:05:18 time: 0.5072 data_time: 0.0368 memory: 18104 grad_norm: 4.5554 loss: 3.5649 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.0489 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.5160 2023/02/02 15:11:31 - mmengine - INFO - Epoch(train) [181][1760/1879] lr: 2.5655e-02 eta: 20:05:08 time: 0.5144 data_time: 0.0299 memory: 18104 grad_norm: 4.5197 loss: 3.5484 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.1063 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.4421 2023/02/02 15:11:42 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 15:11:42 - mmengine - INFO - Epoch(train) [181][1780/1879] lr: 2.5648e-02 eta: 20:05:01 time: 0.5301 data_time: 0.0469 memory: 18104 grad_norm: 4.5038 loss: 3.3977 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0442 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.3534 2023/02/02 15:11:52 - mmengine - INFO - Epoch(train) [181][1800/1879] lr: 2.5642e-02 eta: 20:04:50 time: 0.5097 data_time: 0.0297 memory: 18104 grad_norm: 4.5582 loss: 3.5695 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1053 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4641 2023/02/02 15:12:02 - mmengine - INFO - Epoch(train) [181][1820/1879] lr: 2.5635e-02 eta: 20:04:39 time: 0.5108 data_time: 0.0369 memory: 18104 grad_norm: 4.4160 loss: 3.1321 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7503 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.3818 2023/02/02 15:12:13 - mmengine - INFO - Epoch(train) [181][1840/1879] lr: 2.5628e-02 eta: 20:04:30 time: 0.5190 data_time: 0.0293 memory: 18104 grad_norm: 4.4245 loss: 3.4247 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0237 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.4010 2023/02/02 15:12:23 - mmengine - INFO - Epoch(train) [181][1860/1879] lr: 2.5622e-02 eta: 20:04:25 time: 0.5407 data_time: 0.0462 memory: 18104 grad_norm: 4.3784 loss: 3.3450 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9764 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.3686 2023/02/02 15:12:33 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 15:12:33 - mmengine - INFO - Epoch(train) [181][1879/1879] lr: 2.5616e-02 eta: 20:04:11 time: 0.4918 data_time: 0.0339 memory: 18104 grad_norm: 4.6361 loss: 3.4969 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 2.0760 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.4209 2023/02/02 15:12:48 - mmengine - INFO - Epoch(train) [182][ 20/1879] lr: 2.5609e-02 eta: 20:04:34 time: 0.7136 data_time: 0.2571 memory: 18104 grad_norm: 4.5344 loss: 3.5294 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.0946 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.4349 2023/02/02 15:12:57 - mmengine - INFO - Epoch(train) [182][ 40/1879] lr: 2.5602e-02 eta: 20:04:18 time: 0.4768 data_time: 0.0318 memory: 18104 grad_norm: 4.4103 loss: 3.1481 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8086 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.3394 2023/02/02 15:13:07 - mmengine - INFO - Epoch(train) [182][ 60/1879] lr: 2.5596e-02 eta: 20:04:03 time: 0.4828 data_time: 0.0379 memory: 18104 grad_norm: 4.3881 loss: 3.2907 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.8523 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.4385 2023/02/02 15:13:18 - mmengine - INFO - Epoch(train) [182][ 80/1879] lr: 2.5589e-02 eta: 20:03:55 time: 0.5296 data_time: 0.0408 memory: 18104 grad_norm: 4.3952 loss: 3.4460 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0738 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.3721 2023/02/02 15:13:27 - mmengine - INFO - Epoch(train) [182][ 100/1879] lr: 2.5583e-02 eta: 20:03:41 time: 0.4865 data_time: 0.0388 memory: 18104 grad_norm: 4.4079 loss: 3.2597 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9393 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.3204 2023/02/02 15:13:37 - mmengine - INFO - Epoch(train) [182][ 120/1879] lr: 2.5576e-02 eta: 20:03:24 time: 0.4726 data_time: 0.0321 memory: 18104 grad_norm: 4.6141 loss: 3.5547 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2064 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 1.3482 2023/02/02 15:13:47 - mmengine - INFO - Epoch(train) [182][ 140/1879] lr: 2.5570e-02 eta: 20:03:12 time: 0.5010 data_time: 0.0363 memory: 18104 grad_norm: 4.3728 loss: 3.4389 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.1124 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.3265 2023/02/02 15:13:57 - mmengine - INFO - Epoch(train) [182][ 160/1879] lr: 2.5563e-02 eta: 20:02:58 time: 0.4920 data_time: 0.0397 memory: 18104 grad_norm: 4.4020 loss: 3.3089 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.8628 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.4460 2023/02/02 15:14:06 - mmengine - INFO - Epoch(train) [182][ 180/1879] lr: 2.5556e-02 eta: 20:02:43 time: 0.4831 data_time: 0.0370 memory: 18104 grad_norm: 4.5710 loss: 3.5496 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1319 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.4177 2023/02/02 15:14:16 - mmengine - INFO - Epoch(train) [182][ 200/1879] lr: 2.5550e-02 eta: 20:02:28 time: 0.4840 data_time: 0.0320 memory: 18104 grad_norm: 4.4928 loss: 3.3364 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8693 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.4671 2023/02/02 15:14:27 - mmengine - INFO - Epoch(train) [182][ 220/1879] lr: 2.5543e-02 eta: 20:02:19 time: 0.5246 data_time: 0.0364 memory: 18104 grad_norm: 4.5387 loss: 3.7346 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.2836 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.4510 2023/02/02 15:14:37 - mmengine - INFO - Epoch(train) [182][ 240/1879] lr: 2.5537e-02 eta: 20:02:06 time: 0.4954 data_time: 0.0405 memory: 18104 grad_norm: 4.5132 loss: 3.3741 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.0072 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.3669 2023/02/02 15:14:46 - mmengine - INFO - Epoch(train) [182][ 260/1879] lr: 2.5530e-02 eta: 20:01:52 time: 0.4904 data_time: 0.0343 memory: 18104 grad_norm: 4.5910 loss: 3.3475 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.9875 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.3600 2023/02/02 15:14:57 - mmengine - INFO - Epoch(train) [182][ 280/1879] lr: 2.5524e-02 eta: 20:01:41 time: 0.5055 data_time: 0.0334 memory: 18104 grad_norm: 4.3959 loss: 3.2196 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8570 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.3626 2023/02/02 15:15:07 - mmengine - INFO - Epoch(train) [182][ 300/1879] lr: 2.5517e-02 eta: 20:01:34 time: 0.5298 data_time: 0.0443 memory: 18104 grad_norm: 4.3326 loss: 3.2569 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8829 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.3739 2023/02/02 15:15:17 - mmengine - INFO - Epoch(train) [182][ 320/1879] lr: 2.5510e-02 eta: 20:01:21 time: 0.4983 data_time: 0.0276 memory: 18104 grad_norm: 4.5799 loss: 3.3056 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.9934 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.3123 2023/02/02 15:15:27 - mmengine - INFO - Epoch(train) [182][ 340/1879] lr: 2.5504e-02 eta: 20:01:11 time: 0.5154 data_time: 0.0364 memory: 18104 grad_norm: 4.4867 loss: 3.3648 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.9786 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.3862 2023/02/02 15:15:38 - mmengine - INFO - Epoch(train) [182][ 360/1879] lr: 2.5497e-02 eta: 20:01:03 time: 0.5252 data_time: 0.0311 memory: 18104 grad_norm: 4.5014 loss: 3.3321 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.9824 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.3497 2023/02/02 15:15:48 - mmengine - INFO - Epoch(train) [182][ 380/1879] lr: 2.5491e-02 eta: 20:00:52 time: 0.5057 data_time: 0.0382 memory: 18104 grad_norm: 4.5132 loss: 3.3609 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9014 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.4594 2023/02/02 15:15:58 - mmengine - INFO - Epoch(train) [182][ 400/1879] lr: 2.5484e-02 eta: 20:00:41 time: 0.5119 data_time: 0.0297 memory: 18104 grad_norm: 4.3801 loss: 3.3159 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.8717 top1_acc_1: 0.6235 top5_acc_1: 0.7176 loss_cls_1: 1.4441 2023/02/02 15:16:09 - mmengine - INFO - Epoch(train) [182][ 420/1879] lr: 2.5478e-02 eta: 20:00:34 time: 0.5319 data_time: 0.0380 memory: 18104 grad_norm: 4.6001 loss: 3.2999 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 1.9014 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.3986 2023/02/02 15:16:20 - mmengine - INFO - Epoch(train) [182][ 440/1879] lr: 2.5471e-02 eta: 20:00:26 time: 0.5259 data_time: 0.0286 memory: 18104 grad_norm: 4.4842 loss: 3.2615 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.8520 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.4094 2023/02/02 15:16:30 - mmengine - INFO - Epoch(train) [182][ 460/1879] lr: 2.5465e-02 eta: 20:00:17 time: 0.5224 data_time: 0.0392 memory: 18104 grad_norm: 4.4342 loss: 3.2615 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.8591 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.4025 2023/02/02 15:16:41 - mmengine - INFO - Epoch(train) [182][ 480/1879] lr: 2.5458e-02 eta: 20:00:09 time: 0.5262 data_time: 0.0294 memory: 18104 grad_norm: 4.5770 loss: 3.6260 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.2023 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.4237 2023/02/02 15:16:51 - mmengine - INFO - Epoch(train) [182][ 500/1879] lr: 2.5451e-02 eta: 20:00:01 time: 0.5238 data_time: 0.0462 memory: 18104 grad_norm: 4.4816 loss: 3.4834 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1313 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.3521 2023/02/02 15:17:01 - mmengine - INFO - Epoch(train) [182][ 520/1879] lr: 2.5445e-02 eta: 19:59:51 time: 0.5159 data_time: 0.0292 memory: 18104 grad_norm: 4.5212 loss: 3.4436 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0152 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.4284 2023/02/02 15:17:12 - mmengine - INFO - Epoch(train) [182][ 540/1879] lr: 2.5438e-02 eta: 19:59:41 time: 0.5166 data_time: 0.0364 memory: 18104 grad_norm: 4.4624 loss: 3.4051 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.9408 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.4643 2023/02/02 15:17:22 - mmengine - INFO - Epoch(train) [182][ 560/1879] lr: 2.5432e-02 eta: 19:59:32 time: 0.5203 data_time: 0.0366 memory: 18104 grad_norm: 4.5113 loss: 3.3650 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9837 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.3813 2023/02/02 15:17:33 - mmengine - INFO - Epoch(train) [182][ 580/1879] lr: 2.5425e-02 eta: 19:59:23 time: 0.5187 data_time: 0.0369 memory: 18104 grad_norm: 4.4903 loss: 3.2219 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.8754 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.3465 2023/02/02 15:17:43 - mmengine - INFO - Epoch(train) [182][ 600/1879] lr: 2.5419e-02 eta: 19:59:12 time: 0.5086 data_time: 0.0295 memory: 18104 grad_norm: 4.4566 loss: 3.5937 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.2347 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.3590 2023/02/02 15:17:53 - mmengine - INFO - Epoch(train) [182][ 620/1879] lr: 2.5412e-02 eta: 19:59:05 time: 0.5347 data_time: 0.0447 memory: 18104 grad_norm: 4.4485 loss: 3.1657 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8439 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.3218 2023/02/02 15:18:04 - mmengine - INFO - Epoch(train) [182][ 640/1879] lr: 2.5405e-02 eta: 19:58:54 time: 0.5089 data_time: 0.0289 memory: 18104 grad_norm: 4.4243 loss: 3.3483 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9270 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.4213 2023/02/02 15:18:14 - mmengine - INFO - Epoch(train) [182][ 660/1879] lr: 2.5399e-02 eta: 19:58:46 time: 0.5271 data_time: 0.0367 memory: 18104 grad_norm: 4.5068 loss: 3.2693 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9379 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.3313 2023/02/02 15:18:25 - mmengine - INFO - Epoch(train) [182][ 680/1879] lr: 2.5392e-02 eta: 19:58:37 time: 0.5192 data_time: 0.0308 memory: 18104 grad_norm: 4.4969 loss: 3.1638 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8468 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.3171 2023/02/02 15:18:35 - mmengine - INFO - Epoch(train) [182][ 700/1879] lr: 2.5386e-02 eta: 19:58:30 time: 0.5292 data_time: 0.0431 memory: 18104 grad_norm: 4.5139 loss: 3.3578 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9175 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.4403 2023/02/02 15:18:46 - mmengine - INFO - Epoch(train) [182][ 720/1879] lr: 2.5379e-02 eta: 19:58:19 time: 0.5136 data_time: 0.0298 memory: 18104 grad_norm: 4.4757 loss: 3.3902 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0521 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.3381 2023/02/02 15:18:56 - mmengine - INFO - Epoch(train) [182][ 740/1879] lr: 2.5373e-02 eta: 19:58:11 time: 0.5232 data_time: 0.0378 memory: 18104 grad_norm: 4.4666 loss: 3.3327 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9078 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.4250 2023/02/02 15:19:07 - mmengine - INFO - Epoch(train) [182][ 760/1879] lr: 2.5366e-02 eta: 19:58:04 time: 0.5318 data_time: 0.0369 memory: 18104 grad_norm: 4.4066 loss: 3.3712 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0272 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.3440 2023/02/02 15:19:17 - mmengine - INFO - Epoch(train) [182][ 780/1879] lr: 2.5360e-02 eta: 19:57:54 time: 0.5172 data_time: 0.0400 memory: 18104 grad_norm: 4.6081 loss: 3.5570 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.1687 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.3882 2023/02/02 15:19:27 - mmengine - INFO - Epoch(train) [182][ 800/1879] lr: 2.5353e-02 eta: 19:57:44 time: 0.5169 data_time: 0.0294 memory: 18104 grad_norm: 4.6565 loss: 3.4727 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0933 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.3794 2023/02/02 15:19:38 - mmengine - INFO - Epoch(train) [182][ 820/1879] lr: 2.5346e-02 eta: 19:57:37 time: 0.5299 data_time: 0.0371 memory: 18104 grad_norm: 4.4729 loss: 3.3310 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0096 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.3213 2023/02/02 15:19:48 - mmengine - INFO - Epoch(train) [182][ 840/1879] lr: 2.5340e-02 eta: 19:57:26 time: 0.5110 data_time: 0.0297 memory: 18104 grad_norm: 4.5293 loss: 3.6991 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.2398 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.4593 2023/02/02 15:19:59 - mmengine - INFO - Epoch(train) [182][ 860/1879] lr: 2.5333e-02 eta: 19:57:17 time: 0.5184 data_time: 0.0375 memory: 18104 grad_norm: 4.6092 loss: 3.4056 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.0532 top1_acc_1: 0.7294 top5_acc_1: 0.8235 loss_cls_1: 1.3524 2023/02/02 15:20:09 - mmengine - INFO - Epoch(train) [182][ 880/1879] lr: 2.5327e-02 eta: 19:57:07 time: 0.5133 data_time: 0.0301 memory: 18104 grad_norm: 4.5318 loss: 3.4173 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.9459 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.4715 2023/02/02 15:20:19 - mmengine - INFO - Epoch(train) [182][ 900/1879] lr: 2.5320e-02 eta: 19:56:57 time: 0.5144 data_time: 0.0450 memory: 18104 grad_norm: 4.4636 loss: 3.3709 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9323 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.4386 2023/02/02 15:20:20 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 15:20:29 - mmengine - INFO - Epoch(train) [182][ 920/1879] lr: 2.5314e-02 eta: 19:56:46 time: 0.5108 data_time: 0.0307 memory: 18104 grad_norm: 4.5566 loss: 3.3902 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.0196 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.3706 2023/02/02 15:20:40 - mmengine - INFO - Epoch(train) [182][ 940/1879] lr: 2.5307e-02 eta: 19:56:37 time: 0.5170 data_time: 0.0389 memory: 18104 grad_norm: 4.5413 loss: 3.5098 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1156 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.3943 2023/02/02 15:20:51 - mmengine - INFO - Epoch(train) [182][ 960/1879] lr: 2.5301e-02 eta: 19:56:29 time: 0.5328 data_time: 0.0285 memory: 18104 grad_norm: 4.5143 loss: 3.2327 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8171 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.4156 2023/02/02 15:21:01 - mmengine - INFO - Epoch(train) [182][ 980/1879] lr: 2.5294e-02 eta: 19:56:19 time: 0.5099 data_time: 0.0386 memory: 18104 grad_norm: 4.5253 loss: 3.3451 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.9386 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.4065 2023/02/02 15:21:11 - mmengine - INFO - Epoch(train) [182][1000/1879] lr: 2.5288e-02 eta: 19:56:11 time: 0.5273 data_time: 0.0286 memory: 18104 grad_norm: 4.4230 loss: 3.1453 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7160 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.4293 2023/02/02 15:21:22 - mmengine - INFO - Epoch(train) [182][1020/1879] lr: 2.5281e-02 eta: 19:56:02 time: 0.5236 data_time: 0.0363 memory: 18104 grad_norm: 4.4719 loss: 3.2233 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.9258 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.2975 2023/02/02 15:21:32 - mmengine - INFO - Epoch(train) [182][1040/1879] lr: 2.5274e-02 eta: 19:55:52 time: 0.5150 data_time: 0.0377 memory: 18104 grad_norm: 4.4893 loss: 3.4865 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0837 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.4029 2023/02/02 15:21:43 - mmengine - INFO - Epoch(train) [182][1060/1879] lr: 2.5268e-02 eta: 19:55:43 time: 0.5199 data_time: 0.0362 memory: 18104 grad_norm: 4.4620 loss: 3.3683 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9695 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.3988 2023/02/02 15:21:53 - mmengine - INFO - Epoch(train) [182][1080/1879] lr: 2.5261e-02 eta: 19:55:34 time: 0.5246 data_time: 0.0299 memory: 18104 grad_norm: 4.5458 loss: 3.4147 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0240 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.3908 2023/02/02 15:22:04 - mmengine - INFO - Epoch(train) [182][1100/1879] lr: 2.5255e-02 eta: 19:55:26 time: 0.5241 data_time: 0.0449 memory: 18104 grad_norm: 4.5221 loss: 3.4582 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0542 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.4040 2023/02/02 15:22:14 - mmengine - INFO - Epoch(train) [182][1120/1879] lr: 2.5248e-02 eta: 19:55:16 time: 0.5136 data_time: 0.0283 memory: 18104 grad_norm: 4.4853 loss: 3.5681 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.1277 top1_acc_1: 0.6118 top5_acc_1: 0.7765 loss_cls_1: 1.4405 2023/02/02 15:22:24 - mmengine - INFO - Epoch(train) [182][1140/1879] lr: 2.5242e-02 eta: 19:55:06 time: 0.5179 data_time: 0.0370 memory: 18104 grad_norm: 4.5802 loss: 3.5001 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 2.0656 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.4345 2023/02/02 15:22:35 - mmengine - INFO - Epoch(train) [182][1160/1879] lr: 2.5235e-02 eta: 19:54:59 time: 0.5307 data_time: 0.0297 memory: 18104 grad_norm: 4.6217 loss: 3.3418 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8960 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.4458 2023/02/02 15:22:45 - mmengine - INFO - Epoch(train) [182][1180/1879] lr: 2.5229e-02 eta: 19:54:49 time: 0.5151 data_time: 0.0450 memory: 18104 grad_norm: 4.5347 loss: 3.5526 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1445 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.4081 2023/02/02 15:22:55 - mmengine - INFO - Epoch(train) [182][1200/1879] lr: 2.5222e-02 eta: 19:54:38 time: 0.5062 data_time: 0.0292 memory: 18104 grad_norm: 4.5052 loss: 3.3299 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.9226 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.4073 2023/02/02 15:23:06 - mmengine - INFO - Epoch(train) [182][1220/1879] lr: 2.5216e-02 eta: 19:54:29 time: 0.5221 data_time: 0.0377 memory: 18104 grad_norm: 4.5075 loss: 3.2891 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.9243 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.3648 2023/02/02 15:23:16 - mmengine - INFO - Epoch(train) [182][1240/1879] lr: 2.5209e-02 eta: 19:54:19 time: 0.5170 data_time: 0.0316 memory: 18104 grad_norm: 4.4748 loss: 3.4672 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0536 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.4136 2023/02/02 15:23:26 - mmengine - INFO - Epoch(train) [182][1260/1879] lr: 2.5202e-02 eta: 19:54:08 time: 0.5058 data_time: 0.0379 memory: 18104 grad_norm: 4.5285 loss: 3.5901 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1511 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.4390 2023/02/02 15:23:37 - mmengine - INFO - Epoch(train) [182][1280/1879] lr: 2.5196e-02 eta: 19:53:58 time: 0.5175 data_time: 0.0303 memory: 18104 grad_norm: 4.5955 loss: 3.3026 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.8476 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.4550 2023/02/02 15:23:47 - mmengine - INFO - Epoch(train) [182][1300/1879] lr: 2.5189e-02 eta: 19:53:49 time: 0.5206 data_time: 0.0377 memory: 18104 grad_norm: 4.6152 loss: 3.4935 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0501 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4434 2023/02/02 15:23:57 - mmengine - INFO - Epoch(train) [182][1320/1879] lr: 2.5183e-02 eta: 19:53:38 time: 0.5087 data_time: 0.0312 memory: 18104 grad_norm: 4.5237 loss: 3.5021 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.0671 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.4350 2023/02/02 15:24:08 - mmengine - INFO - Epoch(train) [182][1340/1879] lr: 2.5176e-02 eta: 19:53:29 time: 0.5184 data_time: 0.0393 memory: 18104 grad_norm: 4.4496 loss: 3.4894 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0515 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.4379 2023/02/02 15:24:18 - mmengine - INFO - Epoch(train) [182][1360/1879] lr: 2.5170e-02 eta: 19:53:18 time: 0.5122 data_time: 0.0297 memory: 18104 grad_norm: 4.5356 loss: 3.5212 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.1372 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.3841 2023/02/02 15:24:28 - mmengine - INFO - Epoch(train) [182][1380/1879] lr: 2.5163e-02 eta: 19:53:10 time: 0.5265 data_time: 0.0438 memory: 18104 grad_norm: 4.5649 loss: 3.3496 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9496 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.4000 2023/02/02 15:24:39 - mmengine - INFO - Epoch(train) [182][1400/1879] lr: 2.5157e-02 eta: 19:52:59 time: 0.5074 data_time: 0.0296 memory: 18104 grad_norm: 4.4420 loss: 3.2651 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8672 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.3979 2023/02/02 15:24:49 - mmengine - INFO - Epoch(train) [182][1420/1879] lr: 2.5150e-02 eta: 19:52:51 time: 0.5279 data_time: 0.0367 memory: 18104 grad_norm: 4.5161 loss: 3.5410 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 2.0421 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.4989 2023/02/02 15:25:00 - mmengine - INFO - Epoch(train) [182][1440/1879] lr: 2.5144e-02 eta: 19:52:45 time: 0.5409 data_time: 0.0354 memory: 18104 grad_norm: 4.4375 loss: 3.4555 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0838 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.3717 2023/02/02 15:25:10 - mmengine - INFO - Epoch(train) [182][1460/1879] lr: 2.5137e-02 eta: 19:52:35 time: 0.5139 data_time: 0.0375 memory: 18104 grad_norm: 4.4994 loss: 3.3932 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.9512 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.4420 2023/02/02 15:25:21 - mmengine - INFO - Epoch(train) [182][1480/1879] lr: 2.5131e-02 eta: 19:52:27 time: 0.5272 data_time: 0.0306 memory: 18104 grad_norm: 4.5727 loss: 3.3670 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.9482 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.4188 2023/02/02 15:25:32 - mmengine - INFO - Epoch(train) [182][1500/1879] lr: 2.5124e-02 eta: 19:52:19 time: 0.5322 data_time: 0.0457 memory: 18104 grad_norm: 4.5096 loss: 3.2906 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8722 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.4184 2023/02/02 15:25:42 - mmengine - INFO - Epoch(train) [182][1520/1879] lr: 2.5117e-02 eta: 19:52:11 time: 0.5261 data_time: 0.0315 memory: 18104 grad_norm: 4.4637 loss: 3.4159 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0388 top1_acc_1: 0.5176 top5_acc_1: 0.8235 loss_cls_1: 1.3771 2023/02/02 15:25:53 - mmengine - INFO - Epoch(train) [182][1540/1879] lr: 2.5111e-02 eta: 19:52:04 time: 0.5333 data_time: 0.0374 memory: 18104 grad_norm: 4.5491 loss: 3.2555 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8320 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.4235 2023/02/02 15:26:03 - mmengine - INFO - Epoch(train) [182][1560/1879] lr: 2.5104e-02 eta: 19:51:56 time: 0.5273 data_time: 0.0299 memory: 18104 grad_norm: 4.4694 loss: 3.3257 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.9174 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4083 2023/02/02 15:26:14 - mmengine - INFO - Epoch(train) [182][1580/1879] lr: 2.5098e-02 eta: 19:51:49 time: 0.5356 data_time: 0.0418 memory: 18104 grad_norm: 4.5021 loss: 3.2815 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9309 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 1.3506 2023/02/02 15:26:24 - mmengine - INFO - Epoch(train) [182][1600/1879] lr: 2.5091e-02 eta: 19:51:39 time: 0.5143 data_time: 0.0303 memory: 18104 grad_norm: 4.4666 loss: 3.4863 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0373 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.4490 2023/02/02 15:26:35 - mmengine - INFO - Epoch(train) [182][1620/1879] lr: 2.5085e-02 eta: 19:51:33 time: 0.5441 data_time: 0.0371 memory: 18104 grad_norm: 4.4802 loss: 3.3903 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0396 top1_acc_1: 0.6000 top5_acc_1: 0.7529 loss_cls_1: 1.3507 2023/02/02 15:26:46 - mmengine - INFO - Epoch(train) [182][1640/1879] lr: 2.5078e-02 eta: 19:51:25 time: 0.5304 data_time: 0.0384 memory: 18104 grad_norm: 4.4953 loss: 3.1946 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8295 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.3651 2023/02/02 15:26:56 - mmengine - INFO - Epoch(train) [182][1660/1879] lr: 2.5072e-02 eta: 19:51:17 time: 0.5274 data_time: 0.0377 memory: 18104 grad_norm: 4.5145 loss: 3.3654 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9063 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.4591 2023/02/02 15:27:07 - mmengine - INFO - Epoch(train) [182][1680/1879] lr: 2.5065e-02 eta: 19:51:10 time: 0.5302 data_time: 0.0288 memory: 18104 grad_norm: 4.4673 loss: 3.4028 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0843 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.3185 2023/02/02 15:27:18 - mmengine - INFO - Epoch(train) [182][1700/1879] lr: 2.5059e-02 eta: 19:51:05 time: 0.5520 data_time: 0.0434 memory: 18104 grad_norm: 4.5364 loss: 3.4188 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0034 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.4153 2023/02/02 15:27:29 - mmengine - INFO - Epoch(train) [182][1720/1879] lr: 2.5052e-02 eta: 19:50:57 time: 0.5278 data_time: 0.0289 memory: 18104 grad_norm: 4.5126 loss: 3.3651 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9124 top1_acc_1: 0.5294 top5_acc_1: 0.8118 loss_cls_1: 1.4528 2023/02/02 15:27:39 - mmengine - INFO - Epoch(train) [182][1740/1879] lr: 2.5046e-02 eta: 19:50:48 time: 0.5256 data_time: 0.0370 memory: 18104 grad_norm: 4.4826 loss: 3.4052 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.9456 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.4596 2023/02/02 15:27:50 - mmengine - INFO - Epoch(train) [182][1760/1879] lr: 2.5039e-02 eta: 19:50:42 time: 0.5375 data_time: 0.0387 memory: 18104 grad_norm: 4.5568 loss: 3.5036 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9921 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.5115 2023/02/02 15:28:01 - mmengine - INFO - Epoch(train) [182][1780/1879] lr: 2.5033e-02 eta: 19:50:34 time: 0.5316 data_time: 0.0368 memory: 18104 grad_norm: 4.4508 loss: 3.4473 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9818 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.4655 2023/02/02 15:28:11 - mmengine - INFO - Epoch(train) [182][1800/1879] lr: 2.5026e-02 eta: 19:50:28 time: 0.5371 data_time: 0.0284 memory: 18104 grad_norm: 4.5467 loss: 3.1688 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7246 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.4443 2023/02/02 15:28:22 - mmengine - INFO - Epoch(train) [182][1820/1879] lr: 2.5020e-02 eta: 19:50:22 time: 0.5485 data_time: 0.0456 memory: 18104 grad_norm: 4.5755 loss: 3.2420 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9111 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.3309 2023/02/02 15:28:33 - mmengine - INFO - Epoch(train) [182][1840/1879] lr: 2.5013e-02 eta: 19:50:14 time: 0.5232 data_time: 0.0322 memory: 18104 grad_norm: 4.4523 loss: 3.1405 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7132 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.4273 2023/02/02 15:28:43 - mmengine - INFO - Epoch(train) [182][1860/1879] lr: 2.5007e-02 eta: 19:50:05 time: 0.5255 data_time: 0.0367 memory: 18104 grad_norm: 4.5054 loss: 3.3319 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8979 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.4340 2023/02/02 15:28:53 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 15:28:53 - mmengine - INFO - Epoch(train) [182][1879/1879] lr: 2.5000e-02 eta: 19:49:56 time: 0.5235 data_time: 0.0333 memory: 18104 grad_norm: 4.6489 loss: 3.2866 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 1.9292 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.3575 2023/02/02 15:29:09 - mmengine - INFO - Epoch(train) [183][ 20/1879] lr: 2.4994e-02 eta: 19:50:18 time: 0.7264 data_time: 0.2708 memory: 18104 grad_norm: 4.5678 loss: 3.3240 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.9092 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.4148 2023/02/02 15:29:09 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 15:29:18 - mmengine - INFO - Epoch(train) [183][ 40/1879] lr: 2.4987e-02 eta: 19:50:03 time: 0.4857 data_time: 0.0344 memory: 18104 grad_norm: 4.4372 loss: 2.9592 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.6372 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.3221 2023/02/02 15:29:28 - mmengine - INFO - Epoch(train) [183][ 60/1879] lr: 2.4981e-02 eta: 19:49:51 time: 0.4977 data_time: 0.0347 memory: 18104 grad_norm: 4.5077 loss: 3.5884 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.2144 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.3740 2023/02/02 15:29:39 - mmengine - INFO - Epoch(train) [183][ 80/1879] lr: 2.4974e-02 eta: 19:49:41 time: 0.5191 data_time: 0.0428 memory: 18104 grad_norm: 4.5077 loss: 3.5377 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1202 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.4175 2023/02/02 15:29:49 - mmengine - INFO - Epoch(train) [183][ 100/1879] lr: 2.4968e-02 eta: 19:49:28 time: 0.4943 data_time: 0.0403 memory: 18104 grad_norm: 4.5428 loss: 3.2260 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 1.8295 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.3965 2023/02/02 15:29:58 - mmengine - INFO - Epoch(train) [183][ 120/1879] lr: 2.4961e-02 eta: 19:49:15 time: 0.4941 data_time: 0.0294 memory: 18104 grad_norm: 4.5598 loss: 3.4610 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.0840 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.3770 2023/02/02 15:30:09 - mmengine - INFO - Epoch(train) [183][ 140/1879] lr: 2.4955e-02 eta: 19:49:07 time: 0.5286 data_time: 0.0368 memory: 18104 grad_norm: 4.5130 loss: 3.3580 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8717 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.4862 2023/02/02 15:30:19 - mmengine - INFO - Epoch(train) [183][ 160/1879] lr: 2.4948e-02 eta: 19:48:54 time: 0.4960 data_time: 0.0306 memory: 18104 grad_norm: 4.4067 loss: 2.9600 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.6360 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.3240 2023/02/02 15:30:29 - mmengine - INFO - Epoch(train) [183][ 180/1879] lr: 2.4942e-02 eta: 19:48:42 time: 0.5009 data_time: 0.0383 memory: 18104 grad_norm: 4.5531 loss: 3.3694 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0957 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.2738 2023/02/02 15:30:39 - mmengine - INFO - Epoch(train) [183][ 200/1879] lr: 2.4935e-02 eta: 19:48:30 time: 0.5009 data_time: 0.0294 memory: 18104 grad_norm: 4.4000 loss: 3.1155 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7479 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.3676 2023/02/02 15:30:49 - mmengine - INFO - Epoch(train) [183][ 220/1879] lr: 2.4929e-02 eta: 19:48:21 time: 0.5211 data_time: 0.0444 memory: 18104 grad_norm: 4.4191 loss: 2.9577 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.5914 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.3663 2023/02/02 15:30:59 - mmengine - INFO - Epoch(train) [183][ 240/1879] lr: 2.4922e-02 eta: 19:48:08 time: 0.4950 data_time: 0.0298 memory: 18104 grad_norm: 4.5735 loss: 3.2066 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8810 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.3255 2023/02/02 15:31:10 - mmengine - INFO - Epoch(train) [183][ 260/1879] lr: 2.4916e-02 eta: 19:47:58 time: 0.5161 data_time: 0.0378 memory: 18104 grad_norm: 4.4621 loss: 3.0633 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6861 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.3772 2023/02/02 15:31:20 - mmengine - INFO - Epoch(train) [183][ 280/1879] lr: 2.4909e-02 eta: 19:47:48 time: 0.5205 data_time: 0.0416 memory: 18104 grad_norm: 4.6302 loss: 3.3106 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0312 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2794 2023/02/02 15:31:30 - mmengine - INFO - Epoch(train) [183][ 300/1879] lr: 2.4903e-02 eta: 19:47:37 time: 0.5054 data_time: 0.0332 memory: 18104 grad_norm: 4.4098 loss: 3.4132 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.9689 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.4444 2023/02/02 15:31:40 - mmengine - INFO - Epoch(train) [183][ 320/1879] lr: 2.4896e-02 eta: 19:47:25 time: 0.5041 data_time: 0.0350 memory: 18104 grad_norm: 4.4666 loss: 3.1424 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.8414 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.3010 2023/02/02 15:31:51 - mmengine - INFO - Epoch(train) [183][ 340/1879] lr: 2.4890e-02 eta: 19:47:17 time: 0.5255 data_time: 0.0320 memory: 18104 grad_norm: 4.5082 loss: 3.2755 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.9606 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.3149 2023/02/02 15:32:01 - mmengine - INFO - Epoch(train) [183][ 360/1879] lr: 2.4883e-02 eta: 19:47:06 time: 0.5092 data_time: 0.0356 memory: 18104 grad_norm: 4.4764 loss: 3.2515 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9345 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.3170 2023/02/02 15:32:11 - mmengine - INFO - Epoch(train) [183][ 380/1879] lr: 2.4877e-02 eta: 19:46:55 time: 0.5119 data_time: 0.0338 memory: 18104 grad_norm: 4.5029 loss: 3.4337 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.0541 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.3796 2023/02/02 15:32:22 - mmengine - INFO - Epoch(train) [183][ 400/1879] lr: 2.4870e-02 eta: 19:46:45 time: 0.5099 data_time: 0.0365 memory: 18104 grad_norm: 4.5434 loss: 3.3237 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 1.9351 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.3886 2023/02/02 15:32:32 - mmengine - INFO - Epoch(train) [183][ 420/1879] lr: 2.4863e-02 eta: 19:46:35 time: 0.5207 data_time: 0.0379 memory: 18104 grad_norm: 4.5597 loss: 3.2783 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9735 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.3049 2023/02/02 15:32:42 - mmengine - INFO - Epoch(train) [183][ 440/1879] lr: 2.4857e-02 eta: 19:46:23 time: 0.5011 data_time: 0.0355 memory: 18104 grad_norm: 4.4899 loss: 3.1607 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.8504 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.3104 2023/02/02 15:32:53 - mmengine - INFO - Epoch(train) [183][ 460/1879] lr: 2.4850e-02 eta: 19:46:15 time: 0.5298 data_time: 0.0354 memory: 18104 grad_norm: 4.5583 loss: 3.5087 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0024 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.5063 2023/02/02 15:33:04 - mmengine - INFO - Epoch(train) [183][ 480/1879] lr: 2.4844e-02 eta: 19:46:10 time: 0.5478 data_time: 0.0416 memory: 18104 grad_norm: 4.5270 loss: 3.3057 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9484 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.3573 2023/02/02 15:33:14 - mmengine - INFO - Epoch(train) [183][ 500/1879] lr: 2.4837e-02 eta: 19:46:00 time: 0.5177 data_time: 0.0301 memory: 18104 grad_norm: 4.5267 loss: 3.1854 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7898 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.3957 2023/02/02 15:33:24 - mmengine - INFO - Epoch(train) [183][ 520/1879] lr: 2.4831e-02 eta: 19:45:50 time: 0.5159 data_time: 0.0381 memory: 18104 grad_norm: 4.5371 loss: 3.2809 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8146 top1_acc_1: 0.6941 top5_acc_1: 0.9647 loss_cls_1: 1.4663 2023/02/02 15:33:35 - mmengine - INFO - Epoch(train) [183][ 540/1879] lr: 2.4824e-02 eta: 19:45:39 time: 0.5100 data_time: 0.0314 memory: 18104 grad_norm: 4.6008 loss: 3.3582 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.9473 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.4109 2023/02/02 15:33:45 - mmengine - INFO - Epoch(train) [183][ 560/1879] lr: 2.4818e-02 eta: 19:45:28 time: 0.5069 data_time: 0.0475 memory: 18104 grad_norm: 4.5671 loss: 3.3851 top1_acc_0: 0.2500 top5_acc_0: 0.5625 loss_cls_0: 1.9307 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.4544 2023/02/02 15:33:55 - mmengine - INFO - Epoch(train) [183][ 580/1879] lr: 2.4811e-02 eta: 19:45:20 time: 0.5298 data_time: 0.0318 memory: 18104 grad_norm: 4.5952 loss: 3.1283 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7775 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.3508 2023/02/02 15:34:06 - mmengine - INFO - Epoch(train) [183][ 600/1879] lr: 2.4805e-02 eta: 19:45:10 time: 0.5105 data_time: 0.0383 memory: 18104 grad_norm: 4.5784 loss: 3.3726 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9517 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.4209 2023/02/02 15:34:16 - mmengine - INFO - Epoch(train) [183][ 620/1879] lr: 2.4798e-02 eta: 19:44:59 time: 0.5124 data_time: 0.0371 memory: 18104 grad_norm: 4.5192 loss: 3.3337 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 1.9454 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.3882 2023/02/02 15:34:26 - mmengine - INFO - Epoch(train) [183][ 640/1879] lr: 2.4792e-02 eta: 19:44:47 time: 0.5020 data_time: 0.0373 memory: 18104 grad_norm: 4.4730 loss: 3.0784 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7086 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.3698 2023/02/02 15:34:37 - mmengine - INFO - Epoch(train) [183][ 660/1879] lr: 2.4785e-02 eta: 19:44:39 time: 0.5282 data_time: 0.0300 memory: 18104 grad_norm: 4.5609 loss: 3.6645 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.1336 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.5309 2023/02/02 15:34:47 - mmengine - INFO - Epoch(train) [183][ 680/1879] lr: 2.4779e-02 eta: 19:44:28 time: 0.5068 data_time: 0.0459 memory: 18104 grad_norm: 4.5794 loss: 3.3620 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.9290 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.4330 2023/02/02 15:34:57 - mmengine - INFO - Epoch(train) [183][ 700/1879] lr: 2.4772e-02 eta: 19:44:17 time: 0.5136 data_time: 0.0294 memory: 18104 grad_norm: 4.5872 loss: 3.4486 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1341 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.3145 2023/02/02 15:35:07 - mmengine - INFO - Epoch(train) [183][ 720/1879] lr: 2.4766e-02 eta: 19:44:08 time: 0.5159 data_time: 0.0370 memory: 18104 grad_norm: 4.5700 loss: 3.3340 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.9131 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.4209 2023/02/02 15:35:18 - mmengine - INFO - Epoch(train) [183][ 740/1879] lr: 2.4759e-02 eta: 19:43:57 time: 0.5086 data_time: 0.0386 memory: 18104 grad_norm: 4.4581 loss: 3.5956 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.1831 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.4125 2023/02/02 15:35:27 - mmengine - INFO - Epoch(train) [183][ 760/1879] lr: 2.4753e-02 eta: 19:43:44 time: 0.4954 data_time: 0.0393 memory: 18104 grad_norm: 4.4809 loss: 3.3771 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0252 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.3518 2023/02/02 15:35:38 - mmengine - INFO - Epoch(train) [183][ 780/1879] lr: 2.4746e-02 eta: 19:43:34 time: 0.5143 data_time: 0.0304 memory: 18104 grad_norm: 4.5653 loss: 3.2979 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9337 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.3642 2023/02/02 15:35:48 - mmengine - INFO - Epoch(train) [183][ 800/1879] lr: 2.4740e-02 eta: 19:43:22 time: 0.5035 data_time: 0.0385 memory: 18104 grad_norm: 4.6261 loss: 3.5351 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.1148 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.4203 2023/02/02 15:35:58 - mmengine - INFO - Epoch(train) [183][ 820/1879] lr: 2.4733e-02 eta: 19:43:10 time: 0.4995 data_time: 0.0318 memory: 18104 grad_norm: 4.4828 loss: 3.5256 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0785 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.4471 2023/02/02 15:36:08 - mmengine - INFO - Epoch(train) [183][ 840/1879] lr: 2.4727e-02 eta: 19:42:59 time: 0.5091 data_time: 0.0387 memory: 18104 grad_norm: 4.5209 loss: 3.3154 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9244 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.3910 2023/02/02 15:36:18 - mmengine - INFO - Epoch(train) [183][ 860/1879] lr: 2.4720e-02 eta: 19:42:47 time: 0.5003 data_time: 0.0317 memory: 18104 grad_norm: 4.6226 loss: 3.3963 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 1.9639 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.4323 2023/02/02 15:36:28 - mmengine - INFO - Epoch(train) [183][ 880/1879] lr: 2.4714e-02 eta: 19:42:34 time: 0.5009 data_time: 0.0484 memory: 18104 grad_norm: 4.5705 loss: 3.1668 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.8100 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.3568 2023/02/02 15:36:38 - mmengine - INFO - Epoch(train) [183][ 900/1879] lr: 2.4707e-02 eta: 19:42:23 time: 0.5060 data_time: 0.0306 memory: 18104 grad_norm: 4.6358 loss: 3.3843 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0884 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.2959 2023/02/02 15:36:48 - mmengine - INFO - Epoch(train) [183][ 920/1879] lr: 2.4701e-02 eta: 19:42:12 time: 0.5046 data_time: 0.0391 memory: 18104 grad_norm: 4.6356 loss: 3.3540 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9765 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.3775 2023/02/02 15:36:58 - mmengine - INFO - Epoch(train) [183][ 940/1879] lr: 2.4694e-02 eta: 19:41:59 time: 0.4982 data_time: 0.0382 memory: 18104 grad_norm: 4.4994 loss: 3.3686 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.0258 top1_acc_1: 0.6118 top5_acc_1: 0.8941 loss_cls_1: 1.3429 2023/02/02 15:37:09 - mmengine - INFO - Epoch(train) [183][ 960/1879] lr: 2.4688e-02 eta: 19:41:49 time: 0.5128 data_time: 0.0313 memory: 18104 grad_norm: 4.4575 loss: 3.3265 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9373 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.3892 2023/02/02 15:37:19 - mmengine - INFO - Epoch(train) [183][ 980/1879] lr: 2.4681e-02 eta: 19:41:37 time: 0.5017 data_time: 0.0369 memory: 18104 grad_norm: 4.6174 loss: 3.5443 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.1120 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.4323 2023/02/02 15:37:29 - mmengine - INFO - Epoch(train) [183][1000/1879] lr: 2.4675e-02 eta: 19:41:25 time: 0.5031 data_time: 0.0317 memory: 18104 grad_norm: 4.5689 loss: 3.3929 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.9150 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.4779 2023/02/02 15:37:39 - mmengine - INFO - Epoch(train) [183][1020/1879] lr: 2.4668e-02 eta: 19:41:17 time: 0.5299 data_time: 0.0470 memory: 18104 grad_norm: 4.5837 loss: 3.1764 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.7761 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.4002 2023/02/02 15:37:40 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 15:37:50 - mmengine - INFO - Epoch(train) [183][1040/1879] lr: 2.4662e-02 eta: 19:41:07 time: 0.5121 data_time: 0.0401 memory: 18104 grad_norm: 4.6089 loss: 3.3674 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.9667 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.4007 2023/02/02 15:38:00 - mmengine - INFO - Epoch(train) [183][1060/1879] lr: 2.4655e-02 eta: 19:40:57 time: 0.5181 data_time: 0.0311 memory: 18104 grad_norm: 4.5994 loss: 3.4265 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0494 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.3771 2023/02/02 15:38:10 - mmengine - INFO - Epoch(train) [183][1080/1879] lr: 2.4649e-02 eta: 19:40:48 time: 0.5186 data_time: 0.0378 memory: 18104 grad_norm: 4.5599 loss: 3.4411 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0594 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.3818 2023/02/02 15:38:21 - mmengine - INFO - Epoch(train) [183][1100/1879] lr: 2.4642e-02 eta: 19:40:39 time: 0.5252 data_time: 0.0313 memory: 18104 grad_norm: 4.5831 loss: 3.4639 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0948 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.3690 2023/02/02 15:38:31 - mmengine - INFO - Epoch(train) [183][1120/1879] lr: 2.4636e-02 eta: 19:40:29 time: 0.5123 data_time: 0.0395 memory: 18104 grad_norm: 4.5430 loss: 3.2674 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8649 top1_acc_1: 0.5294 top5_acc_1: 0.8235 loss_cls_1: 1.4025 2023/02/02 15:38:42 - mmengine - INFO - Epoch(train) [183][1140/1879] lr: 2.4629e-02 eta: 19:40:20 time: 0.5228 data_time: 0.0302 memory: 18104 grad_norm: 4.4523 loss: 3.3890 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9905 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.3985 2023/02/02 15:38:52 - mmengine - INFO - Epoch(train) [183][1160/1879] lr: 2.4623e-02 eta: 19:40:11 time: 0.5232 data_time: 0.0446 memory: 18104 grad_norm: 4.4585 loss: 3.3695 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.9688 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.4008 2023/02/02 15:39:02 - mmengine - INFO - Epoch(train) [183][1180/1879] lr: 2.4617e-02 eta: 19:40:00 time: 0.5112 data_time: 0.0325 memory: 18104 grad_norm: 4.5335 loss: 3.4951 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0852 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.4099 2023/02/02 15:39:13 - mmengine - INFO - Epoch(train) [183][1200/1879] lr: 2.4610e-02 eta: 19:39:52 time: 0.5332 data_time: 0.0366 memory: 18104 grad_norm: 4.4949 loss: 3.2767 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.8730 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.4037 2023/02/02 15:39:24 - mmengine - INFO - Epoch(train) [183][1220/1879] lr: 2.4604e-02 eta: 19:39:44 time: 0.5294 data_time: 0.0401 memory: 18104 grad_norm: 4.5175 loss: 3.4596 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0260 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4337 2023/02/02 15:39:34 - mmengine - INFO - Epoch(train) [183][1240/1879] lr: 2.4597e-02 eta: 19:39:35 time: 0.5176 data_time: 0.0369 memory: 18104 grad_norm: 4.5436 loss: 3.2903 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.8585 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.4319 2023/02/02 15:39:45 - mmengine - INFO - Epoch(train) [183][1260/1879] lr: 2.4591e-02 eta: 19:39:25 time: 0.5209 data_time: 0.0322 memory: 18104 grad_norm: 4.5765 loss: 3.4625 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0490 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.4135 2023/02/02 15:39:55 - mmengine - INFO - Epoch(train) [183][1280/1879] lr: 2.4584e-02 eta: 19:39:17 time: 0.5296 data_time: 0.0372 memory: 18104 grad_norm: 4.4914 loss: 3.3410 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.8882 top1_acc_1: 0.7412 top5_acc_1: 0.8353 loss_cls_1: 1.4529 2023/02/02 15:40:06 - mmengine - INFO - Epoch(train) [183][1300/1879] lr: 2.4578e-02 eta: 19:39:10 time: 0.5351 data_time: 0.0316 memory: 18104 grad_norm: 4.6494 loss: 3.4863 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.1203 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.3661 2023/02/02 15:40:17 - mmengine - INFO - Epoch(train) [183][1320/1879] lr: 2.4571e-02 eta: 19:39:03 time: 0.5373 data_time: 0.0358 memory: 18104 grad_norm: 4.6246 loss: 3.5089 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 2.0398 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.4691 2023/02/02 15:40:27 - mmengine - INFO - Epoch(train) [183][1340/1879] lr: 2.4565e-02 eta: 19:38:54 time: 0.5239 data_time: 0.0311 memory: 18104 grad_norm: 4.5456 loss: 3.3026 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.9080 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.3947 2023/02/02 15:40:38 - mmengine - INFO - Epoch(train) [183][1360/1879] lr: 2.4558e-02 eta: 19:38:45 time: 0.5226 data_time: 0.0445 memory: 18104 grad_norm: 4.5086 loss: 3.4694 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0333 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.4361 2023/02/02 15:40:48 - mmengine - INFO - Epoch(train) [183][1380/1879] lr: 2.4552e-02 eta: 19:38:37 time: 0.5335 data_time: 0.0314 memory: 18104 grad_norm: 4.5218 loss: 3.2806 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 1.9697 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.3109 2023/02/02 15:40:59 - mmengine - INFO - Epoch(train) [183][1400/1879] lr: 2.4545e-02 eta: 19:38:27 time: 0.5122 data_time: 0.0356 memory: 18104 grad_norm: 4.5470 loss: 3.3818 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.9410 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.4408 2023/02/02 15:41:09 - mmengine - INFO - Epoch(train) [183][1420/1879] lr: 2.4539e-02 eta: 19:38:18 time: 0.5233 data_time: 0.0415 memory: 18104 grad_norm: 4.6173 loss: 3.3022 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.8659 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.4363 2023/02/02 15:41:19 - mmengine - INFO - Epoch(train) [183][1440/1879] lr: 2.4532e-02 eta: 19:38:08 time: 0.5168 data_time: 0.0372 memory: 18104 grad_norm: 4.5072 loss: 3.4913 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9587 top1_acc_1: 0.7176 top5_acc_1: 0.8235 loss_cls_1: 1.5327 2023/02/02 15:41:30 - mmengine - INFO - Epoch(train) [183][1460/1879] lr: 2.4526e-02 eta: 19:37:59 time: 0.5189 data_time: 0.0314 memory: 18104 grad_norm: 4.5304 loss: 3.3727 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.9640 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.4088 2023/02/02 15:41:40 - mmengine - INFO - Epoch(train) [183][1480/1879] lr: 2.4519e-02 eta: 19:37:48 time: 0.5125 data_time: 0.0367 memory: 18104 grad_norm: 4.5748 loss: 3.2949 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.9399 top1_acc_1: 0.6588 top5_acc_1: 0.9294 loss_cls_1: 1.3550 2023/02/02 15:41:51 - mmengine - INFO - Epoch(train) [183][1500/1879] lr: 2.4513e-02 eta: 19:37:40 time: 0.5329 data_time: 0.0394 memory: 18104 grad_norm: 4.5176 loss: 3.6255 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.1824 top1_acc_1: 0.5765 top5_acc_1: 0.8000 loss_cls_1: 1.4431 2023/02/02 15:42:01 - mmengine - INFO - Epoch(train) [183][1520/1879] lr: 2.4506e-02 eta: 19:37:31 time: 0.5171 data_time: 0.0372 memory: 18104 grad_norm: 4.5273 loss: 3.1963 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8144 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.3819 2023/02/02 15:42:12 - mmengine - INFO - Epoch(train) [183][1540/1879] lr: 2.4500e-02 eta: 19:37:23 time: 0.5326 data_time: 0.0302 memory: 18104 grad_norm: 4.5514 loss: 3.4337 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0343 top1_acc_1: 0.5529 top5_acc_1: 0.7882 loss_cls_1: 1.3994 2023/02/02 15:42:22 - mmengine - INFO - Epoch(train) [183][1560/1879] lr: 2.4493e-02 eta: 19:37:13 time: 0.5198 data_time: 0.0471 memory: 18104 grad_norm: 4.4904 loss: 3.4691 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9998 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.4693 2023/02/02 15:42:33 - mmengine - INFO - Epoch(train) [183][1580/1879] lr: 2.4487e-02 eta: 19:37:08 time: 0.5464 data_time: 0.0315 memory: 18104 grad_norm: 4.5158 loss: 3.3240 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.9154 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.4086 2023/02/02 15:42:43 - mmengine - INFO - Epoch(train) [183][1600/1879] lr: 2.4480e-02 eta: 19:36:57 time: 0.5098 data_time: 0.0373 memory: 18104 grad_norm: 4.5406 loss: 3.4002 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0065 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.3937 2023/02/02 15:42:54 - mmengine - INFO - Epoch(train) [183][1620/1879] lr: 2.4474e-02 eta: 19:36:50 time: 0.5367 data_time: 0.0317 memory: 18104 grad_norm: 4.6389 loss: 3.4139 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0010 top1_acc_1: 0.6000 top5_acc_1: 0.8941 loss_cls_1: 1.4129 2023/02/02 15:43:05 - mmengine - INFO - Epoch(train) [183][1640/1879] lr: 2.4467e-02 eta: 19:36:41 time: 0.5228 data_time: 0.0432 memory: 18104 grad_norm: 4.4711 loss: 3.1960 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.7588 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.4371 2023/02/02 15:43:15 - mmengine - INFO - Epoch(train) [183][1660/1879] lr: 2.4461e-02 eta: 19:36:34 time: 0.5402 data_time: 0.0308 memory: 18104 grad_norm: 4.6476 loss: 3.4477 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9899 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.4578 2023/02/02 15:43:26 - mmengine - INFO - Epoch(train) [183][1680/1879] lr: 2.4454e-02 eta: 19:36:25 time: 0.5232 data_time: 0.0355 memory: 18104 grad_norm: 4.6525 loss: 3.5050 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.0510 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.4540 2023/02/02 15:43:37 - mmengine - INFO - Epoch(train) [183][1700/1879] lr: 2.4448e-02 eta: 19:36:18 time: 0.5368 data_time: 0.0373 memory: 18104 grad_norm: 4.6248 loss: 3.5301 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1232 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.4069 2023/02/02 15:43:47 - mmengine - INFO - Epoch(train) [183][1720/1879] lr: 2.4442e-02 eta: 19:36:09 time: 0.5256 data_time: 0.0313 memory: 18104 grad_norm: 4.5748 loss: 3.4796 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9709 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.5087 2023/02/02 15:43:58 - mmengine - INFO - Epoch(train) [183][1740/1879] lr: 2.4435e-02 eta: 19:36:01 time: 0.5303 data_time: 0.0372 memory: 18104 grad_norm: 4.5878 loss: 3.5270 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0729 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.4541 2023/02/02 15:44:08 - mmengine - INFO - Epoch(train) [183][1760/1879] lr: 2.4429e-02 eta: 19:35:50 time: 0.5098 data_time: 0.0339 memory: 18104 grad_norm: 4.5496 loss: 3.4086 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0452 top1_acc_1: 0.5647 top5_acc_1: 0.8706 loss_cls_1: 1.3634 2023/02/02 15:44:19 - mmengine - INFO - Epoch(train) [183][1780/1879] lr: 2.4422e-02 eta: 19:35:45 time: 0.5508 data_time: 0.0439 memory: 18104 grad_norm: 4.6063 loss: 3.3590 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 1.9521 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.4069 2023/02/02 15:44:29 - mmengine - INFO - Epoch(train) [183][1800/1879] lr: 2.4416e-02 eta: 19:35:34 time: 0.5085 data_time: 0.0318 memory: 18104 grad_norm: 4.4424 loss: 3.5559 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1005 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.4553 2023/02/02 15:44:40 - mmengine - INFO - Epoch(train) [183][1820/1879] lr: 2.4409e-02 eta: 19:35:23 time: 0.5149 data_time: 0.0353 memory: 18104 grad_norm: 4.5996 loss: 3.3378 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9041 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.4337 2023/02/02 15:44:50 - mmengine - INFO - Epoch(train) [183][1840/1879] lr: 2.4403e-02 eta: 19:35:14 time: 0.5222 data_time: 0.0384 memory: 18104 grad_norm: 4.5742 loss: 3.4995 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 2.0455 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.4539 2023/02/02 15:45:01 - mmengine - INFO - Epoch(train) [183][1860/1879] lr: 2.4396e-02 eta: 19:35:06 time: 0.5267 data_time: 0.0345 memory: 18104 grad_norm: 4.4897 loss: 3.5328 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0482 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.4846 2023/02/02 15:45:10 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 15:45:10 - mmengine - INFO - Epoch(train) [183][1879/1879] lr: 2.4390e-02 eta: 19:34:54 time: 0.5007 data_time: 0.0270 memory: 18104 grad_norm: 4.6155 loss: 3.4356 top1_acc_0: 0.1429 top5_acc_0: 0.5714 loss_cls_0: 2.0478 top1_acc_1: 0.5765 top5_acc_1: 0.8118 loss_cls_1: 1.3879 2023/02/02 15:45:26 - mmengine - INFO - Epoch(train) [184][ 20/1879] lr: 2.4384e-02 eta: 19:35:13 time: 0.7351 data_time: 0.2724 memory: 18104 grad_norm: 4.4446 loss: 3.3413 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.9409 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.4004 2023/02/02 15:45:35 - mmengine - INFO - Epoch(train) [184][ 40/1879] lr: 2.4377e-02 eta: 19:34:59 time: 0.4830 data_time: 0.0331 memory: 18104 grad_norm: 4.4701 loss: 3.2857 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.9356 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.3501 2023/02/02 15:45:45 - mmengine - INFO - Epoch(train) [184][ 60/1879] lr: 2.4371e-02 eta: 19:34:46 time: 0.4916 data_time: 0.0342 memory: 18104 grad_norm: 4.5832 loss: 3.1324 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7660 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.3664 2023/02/02 15:45:56 - mmengine - INFO - Epoch(train) [184][ 80/1879] lr: 2.4364e-02 eta: 19:34:37 time: 0.5278 data_time: 0.0317 memory: 18104 grad_norm: 4.5454 loss: 3.4162 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0690 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.3472 2023/02/02 15:46:06 - mmengine - INFO - Epoch(train) [184][ 100/1879] lr: 2.4358e-02 eta: 19:34:24 time: 0.4928 data_time: 0.0343 memory: 18104 grad_norm: 4.4529 loss: 3.2338 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.8263 top1_acc_1: 0.7529 top5_acc_1: 0.8235 loss_cls_1: 1.4075 2023/02/02 15:46:15 - mmengine - INFO - Epoch(train) [184][ 120/1879] lr: 2.4351e-02 eta: 19:34:10 time: 0.4806 data_time: 0.0343 memory: 18104 grad_norm: 4.6336 loss: 3.2633 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9413 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.3220 2023/02/02 15:46:25 - mmengine - INFO - Epoch(train) [184][ 140/1879] lr: 2.4345e-02 eta: 19:33:59 time: 0.5095 data_time: 0.0469 memory: 18104 grad_norm: 4.5279 loss: 3.0415 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6450 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.3965 2023/02/02 15:46:27 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 15:46:35 - mmengine - INFO - Epoch(train) [184][ 160/1879] lr: 2.4338e-02 eta: 19:33:45 time: 0.4870 data_time: 0.0283 memory: 18104 grad_norm: 4.6090 loss: 3.3460 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0384 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.3076 2023/02/02 15:46:45 - mmengine - INFO - Epoch(train) [184][ 180/1879] lr: 2.4332e-02 eta: 19:33:31 time: 0.4907 data_time: 0.0313 memory: 18104 grad_norm: 4.5087 loss: 3.2409 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9325 top1_acc_1: 0.6235 top5_acc_1: 0.9059 loss_cls_1: 1.3084 2023/02/02 15:46:55 - mmengine - INFO - Epoch(train) [184][ 200/1879] lr: 2.4325e-02 eta: 19:33:19 time: 0.4963 data_time: 0.0362 memory: 18104 grad_norm: 4.7189 loss: 3.4240 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.0011 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.4229 2023/02/02 15:47:05 - mmengine - INFO - Epoch(train) [184][ 220/1879] lr: 2.4319e-02 eta: 19:33:09 time: 0.5209 data_time: 0.0377 memory: 18104 grad_norm: 4.5711 loss: 3.2863 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8574 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.4289 2023/02/02 15:47:15 - mmengine - INFO - Epoch(train) [184][ 240/1879] lr: 2.4312e-02 eta: 19:32:56 time: 0.4917 data_time: 0.0339 memory: 18104 grad_norm: 4.4909 loss: 3.1780 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8502 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.3277 2023/02/02 15:47:25 - mmengine - INFO - Epoch(train) [184][ 260/1879] lr: 2.4306e-02 eta: 19:32:44 time: 0.4974 data_time: 0.0326 memory: 18104 grad_norm: 4.5999 loss: 3.2392 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8197 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.4195 2023/02/02 15:47:35 - mmengine - INFO - Epoch(train) [184][ 280/1879] lr: 2.4300e-02 eta: 19:32:33 time: 0.5087 data_time: 0.0336 memory: 18104 grad_norm: 4.5357 loss: 3.4275 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.0316 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.3959 2023/02/02 15:47:45 - mmengine - INFO - Epoch(train) [184][ 300/1879] lr: 2.4293e-02 eta: 19:32:21 time: 0.5049 data_time: 0.0290 memory: 18104 grad_norm: 4.6372 loss: 3.3956 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9966 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.3989 2023/02/02 15:47:55 - mmengine - INFO - Epoch(train) [184][ 320/1879] lr: 2.4287e-02 eta: 19:32:09 time: 0.4956 data_time: 0.0340 memory: 18104 grad_norm: 4.4841 loss: 3.2954 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9238 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.3716 2023/02/02 15:48:06 - mmengine - INFO - Epoch(train) [184][ 340/1879] lr: 2.4280e-02 eta: 19:31:57 time: 0.5037 data_time: 0.0306 memory: 18104 grad_norm: 4.5804 loss: 3.2514 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8999 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.3516 2023/02/02 15:48:16 - mmengine - INFO - Epoch(train) [184][ 360/1879] lr: 2.4274e-02 eta: 19:31:47 time: 0.5120 data_time: 0.0424 memory: 18104 grad_norm: 4.6080 loss: 3.1929 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8523 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.3406 2023/02/02 15:48:26 - mmengine - INFO - Epoch(train) [184][ 380/1879] lr: 2.4267e-02 eta: 19:31:35 time: 0.5041 data_time: 0.0318 memory: 18104 grad_norm: 4.4819 loss: 3.3146 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.9565 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.3581 2023/02/02 15:48:36 - mmengine - INFO - Epoch(train) [184][ 400/1879] lr: 2.4261e-02 eta: 19:31:23 time: 0.4973 data_time: 0.0342 memory: 18104 grad_norm: 4.5236 loss: 3.4872 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.0372 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.4500 2023/02/02 15:48:46 - mmengine - INFO - Epoch(train) [184][ 420/1879] lr: 2.4254e-02 eta: 19:31:11 time: 0.5065 data_time: 0.0388 memory: 18104 grad_norm: 4.4665 loss: 3.1321 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.7117 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.4204 2023/02/02 15:48:56 - mmengine - INFO - Epoch(train) [184][ 440/1879] lr: 2.4248e-02 eta: 19:31:00 time: 0.5038 data_time: 0.0356 memory: 18104 grad_norm: 4.6175 loss: 3.3613 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.9891 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.3722 2023/02/02 15:49:06 - mmengine - INFO - Epoch(train) [184][ 460/1879] lr: 2.4241e-02 eta: 19:30:49 time: 0.5091 data_time: 0.0299 memory: 18104 grad_norm: 4.5482 loss: 3.3122 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.9608 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.3514 2023/02/02 15:49:16 - mmengine - INFO - Epoch(train) [184][ 480/1879] lr: 2.4235e-02 eta: 19:30:36 time: 0.4966 data_time: 0.0351 memory: 18104 grad_norm: 4.5551 loss: 3.4950 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0960 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.3990 2023/02/02 15:49:27 - mmengine - INFO - Epoch(train) [184][ 500/1879] lr: 2.4229e-02 eta: 19:30:27 time: 0.5223 data_time: 0.0372 memory: 18104 grad_norm: 4.5611 loss: 3.1898 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.9364 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.2534 2023/02/02 15:49:37 - mmengine - INFO - Epoch(train) [184][ 520/1879] lr: 2.4222e-02 eta: 19:30:15 time: 0.5023 data_time: 0.0373 memory: 18104 grad_norm: 4.5084 loss: 3.0640 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7116 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 1.3524 2023/02/02 15:49:47 - mmengine - INFO - Epoch(train) [184][ 540/1879] lr: 2.4216e-02 eta: 19:30:04 time: 0.5081 data_time: 0.0298 memory: 18104 grad_norm: 4.5765 loss: 3.0681 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6026 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.4655 2023/02/02 15:49:57 - mmengine - INFO - Epoch(train) [184][ 560/1879] lr: 2.4209e-02 eta: 19:29:54 time: 0.5103 data_time: 0.0360 memory: 18104 grad_norm: 4.6014 loss: 3.3805 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0752 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.3053 2023/02/02 15:50:07 - mmengine - INFO - Epoch(train) [184][ 580/1879] lr: 2.4203e-02 eta: 19:29:43 time: 0.5136 data_time: 0.0298 memory: 18104 grad_norm: 4.5164 loss: 3.2856 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9709 top1_acc_1: 0.7647 top5_acc_1: 0.8706 loss_cls_1: 1.3148 2023/02/02 15:50:18 - mmengine - INFO - Epoch(train) [184][ 600/1879] lr: 2.4196e-02 eta: 19:29:35 time: 0.5320 data_time: 0.0358 memory: 18104 grad_norm: 4.5644 loss: 3.3132 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.8683 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.4448 2023/02/02 15:50:28 - mmengine - INFO - Epoch(train) [184][ 620/1879] lr: 2.4190e-02 eta: 19:29:24 time: 0.5051 data_time: 0.0369 memory: 18104 grad_norm: 4.5689 loss: 3.2965 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8646 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.4319 2023/02/02 15:50:39 - mmengine - INFO - Epoch(train) [184][ 640/1879] lr: 2.4183e-02 eta: 19:29:15 time: 0.5208 data_time: 0.0360 memory: 18104 grad_norm: 4.5315 loss: 3.3574 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.9885 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.3689 2023/02/02 15:50:49 - mmengine - INFO - Epoch(train) [184][ 660/1879] lr: 2.4177e-02 eta: 19:29:05 time: 0.5153 data_time: 0.0293 memory: 18104 grad_norm: 4.5012 loss: 3.2722 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.8367 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.4356 2023/02/02 15:50:59 - mmengine - INFO - Epoch(train) [184][ 680/1879] lr: 2.4170e-02 eta: 19:28:53 time: 0.5037 data_time: 0.0439 memory: 18104 grad_norm: 4.4953 loss: 3.2125 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.8147 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.3978 2023/02/02 15:51:09 - mmengine - INFO - Epoch(train) [184][ 700/1879] lr: 2.4164e-02 eta: 19:28:42 time: 0.5052 data_time: 0.0315 memory: 18104 grad_norm: 4.5529 loss: 3.4022 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.0242 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.3780 2023/02/02 15:51:20 - mmengine - INFO - Epoch(train) [184][ 720/1879] lr: 2.4158e-02 eta: 19:28:33 time: 0.5265 data_time: 0.0372 memory: 18104 grad_norm: 4.5309 loss: 3.2158 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8216 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.3943 2023/02/02 15:51:30 - mmengine - INFO - Epoch(train) [184][ 740/1879] lr: 2.4151e-02 eta: 19:28:21 time: 0.5044 data_time: 0.0303 memory: 18104 grad_norm: 4.5230 loss: 3.4416 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.0362 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.4054 2023/02/02 15:51:40 - mmengine - INFO - Epoch(train) [184][ 760/1879] lr: 2.4145e-02 eta: 19:28:11 time: 0.5089 data_time: 0.0451 memory: 18104 grad_norm: 4.5991 loss: 3.2577 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9109 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.3468 2023/02/02 15:51:50 - mmengine - INFO - Epoch(train) [184][ 780/1879] lr: 2.4138e-02 eta: 19:28:00 time: 0.5117 data_time: 0.0300 memory: 18104 grad_norm: 4.5264 loss: 3.3145 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0063 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.3081 2023/02/02 15:52:01 - mmengine - INFO - Epoch(train) [184][ 800/1879] lr: 2.4132e-02 eta: 19:27:50 time: 0.5163 data_time: 0.0369 memory: 18104 grad_norm: 4.6230 loss: 3.1770 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8203 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.3567 2023/02/02 15:52:11 - mmengine - INFO - Epoch(train) [184][ 820/1879] lr: 2.4125e-02 eta: 19:27:38 time: 0.5008 data_time: 0.0387 memory: 18104 grad_norm: 4.5458 loss: 3.1730 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8283 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.3447 2023/02/02 15:52:21 - mmengine - INFO - Epoch(train) [184][ 840/1879] lr: 2.4119e-02 eta: 19:27:27 time: 0.5093 data_time: 0.0372 memory: 18104 grad_norm: 4.6093 loss: 3.1882 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.7163 top1_acc_1: 0.7176 top5_acc_1: 0.8235 loss_cls_1: 1.4719 2023/02/02 15:52:31 - mmengine - INFO - Epoch(train) [184][ 860/1879] lr: 2.4112e-02 eta: 19:27:16 time: 0.5047 data_time: 0.0287 memory: 18104 grad_norm: 4.5995 loss: 3.5351 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0670 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.4681 2023/02/02 15:52:41 - mmengine - INFO - Epoch(train) [184][ 880/1879] lr: 2.4106e-02 eta: 19:27:03 time: 0.4953 data_time: 0.0354 memory: 18104 grad_norm: 4.6694 loss: 3.5777 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 2.1871 top1_acc_1: 0.6706 top5_acc_1: 0.9294 loss_cls_1: 1.3906 2023/02/02 15:52:51 - mmengine - INFO - Epoch(train) [184][ 900/1879] lr: 2.4100e-02 eta: 19:26:52 time: 0.5063 data_time: 0.0302 memory: 18104 grad_norm: 4.5171 loss: 3.1196 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6915 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.4282 2023/02/02 15:53:01 - mmengine - INFO - Epoch(train) [184][ 920/1879] lr: 2.4093e-02 eta: 19:26:40 time: 0.4980 data_time: 0.0380 memory: 18104 grad_norm: 4.5238 loss: 3.3002 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9651 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.3351 2023/02/02 15:53:11 - mmengine - INFO - Epoch(train) [184][ 940/1879] lr: 2.4087e-02 eta: 19:26:29 time: 0.5126 data_time: 0.0293 memory: 18104 grad_norm: 4.6344 loss: 3.4040 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.0313 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.3727 2023/02/02 15:53:21 - mmengine - INFO - Epoch(train) [184][ 960/1879] lr: 2.4080e-02 eta: 19:26:18 time: 0.5050 data_time: 0.0446 memory: 18104 grad_norm: 4.7055 loss: 3.6840 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.2402 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.4438 2023/02/02 15:53:31 - mmengine - INFO - Epoch(train) [184][ 980/1879] lr: 2.4074e-02 eta: 19:26:06 time: 0.4996 data_time: 0.0297 memory: 18104 grad_norm: 4.5766 loss: 3.2906 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.8573 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.4333 2023/02/02 15:53:42 - mmengine - INFO - Epoch(train) [184][1000/1879] lr: 2.4067e-02 eta: 19:25:55 time: 0.5125 data_time: 0.0374 memory: 18104 grad_norm: 4.6967 loss: 3.2590 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.8221 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.4369 2023/02/02 15:53:52 - mmengine - INFO - Epoch(train) [184][1020/1879] lr: 2.4061e-02 eta: 19:25:44 time: 0.5072 data_time: 0.0358 memory: 18104 grad_norm: 4.6713 loss: 3.4248 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.0412 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.3835 2023/02/02 15:54:02 - mmengine - INFO - Epoch(train) [184][1040/1879] lr: 2.4055e-02 eta: 19:25:33 time: 0.5091 data_time: 0.0359 memory: 18104 grad_norm: 4.5996 loss: 3.3406 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9424 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.3983 2023/02/02 15:54:12 - mmengine - INFO - Epoch(train) [184][1060/1879] lr: 2.4048e-02 eta: 19:25:23 time: 0.5096 data_time: 0.0315 memory: 18104 grad_norm: 4.6173 loss: 3.5022 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9850 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.5173 2023/02/02 15:54:23 - mmengine - INFO - Epoch(train) [184][1080/1879] lr: 2.4042e-02 eta: 19:25:12 time: 0.5088 data_time: 0.0372 memory: 18104 grad_norm: 4.6784 loss: 3.2655 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8966 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.3689 2023/02/02 15:54:33 - mmengine - INFO - Epoch(train) [184][1100/1879] lr: 2.4035e-02 eta: 19:25:00 time: 0.4985 data_time: 0.0284 memory: 18104 grad_norm: 4.5191 loss: 3.3474 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0456 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.3018 2023/02/02 15:54:43 - mmengine - INFO - Epoch(train) [184][1120/1879] lr: 2.4029e-02 eta: 19:24:49 time: 0.5075 data_time: 0.0398 memory: 18104 grad_norm: 4.6116 loss: 3.4377 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.0276 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.4101 2023/02/02 15:54:53 - mmengine - INFO - Epoch(train) [184][1140/1879] lr: 2.4022e-02 eta: 19:24:39 time: 0.5154 data_time: 0.0296 memory: 18104 grad_norm: 4.5871 loss: 3.3386 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.9401 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.3985 2023/02/02 15:54:55 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 15:55:03 - mmengine - INFO - Epoch(train) [184][1160/1879] lr: 2.4016e-02 eta: 19:24:29 time: 0.5176 data_time: 0.0462 memory: 18104 grad_norm: 4.5692 loss: 3.2754 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.7645 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.5109 2023/02/02 15:55:14 - mmengine - INFO - Epoch(train) [184][1180/1879] lr: 2.4009e-02 eta: 19:24:17 time: 0.5054 data_time: 0.0297 memory: 18104 grad_norm: 4.5225 loss: 3.3562 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.9897 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.3664 2023/02/02 15:55:24 - mmengine - INFO - Epoch(train) [184][1200/1879] lr: 2.4003e-02 eta: 19:24:08 time: 0.5224 data_time: 0.0401 memory: 18104 grad_norm: 4.6533 loss: 3.3263 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9665 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.3598 2023/02/02 15:55:34 - mmengine - INFO - Epoch(train) [184][1220/1879] lr: 2.3997e-02 eta: 19:23:56 time: 0.4954 data_time: 0.0405 memory: 18104 grad_norm: 4.5728 loss: 3.4614 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0381 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.4234 2023/02/02 15:55:44 - mmengine - INFO - Epoch(train) [184][1240/1879] lr: 2.3990e-02 eta: 19:23:46 time: 0.5147 data_time: 0.0385 memory: 18104 grad_norm: 4.5530 loss: 3.4796 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.0515 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.4281 2023/02/02 15:55:54 - mmengine - INFO - Epoch(train) [184][1260/1879] lr: 2.3984e-02 eta: 19:23:33 time: 0.4968 data_time: 0.0303 memory: 18104 grad_norm: 4.5756 loss: 3.3428 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.9027 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.4401 2023/02/02 15:56:04 - mmengine - INFO - Epoch(train) [184][1280/1879] lr: 2.3977e-02 eta: 19:23:22 time: 0.5061 data_time: 0.0359 memory: 18104 grad_norm: 4.5696 loss: 3.5377 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.1399 top1_acc_1: 0.6588 top5_acc_1: 0.7882 loss_cls_1: 1.3978 2023/02/02 15:56:14 - mmengine - INFO - Epoch(train) [184][1300/1879] lr: 2.3971e-02 eta: 19:23:10 time: 0.4987 data_time: 0.0427 memory: 18104 grad_norm: 4.4659 loss: 3.3865 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0184 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.3680 2023/02/02 15:56:24 - mmengine - INFO - Epoch(train) [184][1320/1879] lr: 2.3964e-02 eta: 19:22:59 time: 0.5060 data_time: 0.0320 memory: 18104 grad_norm: 4.6069 loss: 3.2328 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.8742 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.3586 2023/02/02 15:56:34 - mmengine - INFO - Epoch(train) [184][1340/1879] lr: 2.3958e-02 eta: 19:22:47 time: 0.5002 data_time: 0.0362 memory: 18104 grad_norm: 4.5032 loss: 3.2178 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.7927 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.4251 2023/02/02 15:56:44 - mmengine - INFO - Epoch(train) [184][1360/1879] lr: 2.3952e-02 eta: 19:22:34 time: 0.4979 data_time: 0.0317 memory: 18104 grad_norm: 4.4870 loss: 3.2837 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.9184 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.3652 2023/02/02 15:56:54 - mmengine - INFO - Epoch(train) [184][1380/1879] lr: 2.3945e-02 eta: 19:22:22 time: 0.4978 data_time: 0.0339 memory: 18104 grad_norm: 4.5809 loss: 3.3291 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 1.9719 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.3573 2023/02/02 15:57:05 - mmengine - INFO - Epoch(train) [184][1400/1879] lr: 2.3939e-02 eta: 19:22:13 time: 0.5200 data_time: 0.0369 memory: 18104 grad_norm: 4.5394 loss: 3.3074 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9554 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.3520 2023/02/02 15:57:15 - mmengine - INFO - Epoch(train) [184][1420/1879] lr: 2.3932e-02 eta: 19:22:02 time: 0.5113 data_time: 0.0358 memory: 18104 grad_norm: 4.6048 loss: 3.3951 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0004 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.3946 2023/02/02 15:57:26 - mmengine - INFO - Epoch(train) [184][1440/1879] lr: 2.3926e-02 eta: 19:21:53 time: 0.5191 data_time: 0.0442 memory: 18104 grad_norm: 4.5144 loss: 3.2767 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8450 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.4317 2023/02/02 15:57:36 - mmengine - INFO - Epoch(train) [184][1460/1879] lr: 2.3919e-02 eta: 19:21:43 time: 0.5221 data_time: 0.0339 memory: 18104 grad_norm: 4.5259 loss: 3.3893 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 1.9572 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.4321 2023/02/02 15:57:46 - mmengine - INFO - Epoch(train) [184][1480/1879] lr: 2.3913e-02 eta: 19:21:33 time: 0.5140 data_time: 0.0347 memory: 18104 grad_norm: 4.5091 loss: 3.2057 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 1.7967 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.4090 2023/02/02 15:57:57 - mmengine - INFO - Epoch(train) [184][1500/1879] lr: 2.3907e-02 eta: 19:21:23 time: 0.5123 data_time: 0.0412 memory: 18104 grad_norm: 4.7282 loss: 3.3643 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9809 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.3835 2023/02/02 15:58:07 - mmengine - INFO - Epoch(train) [184][1520/1879] lr: 2.3900e-02 eta: 19:21:12 time: 0.5096 data_time: 0.0335 memory: 18104 grad_norm: 4.6156 loss: 3.1742 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.8039 top1_acc_1: 0.6000 top5_acc_1: 0.9176 loss_cls_1: 1.3703 2023/02/02 15:58:17 - mmengine - INFO - Epoch(train) [184][1540/1879] lr: 2.3894e-02 eta: 19:21:01 time: 0.5069 data_time: 0.0346 memory: 18104 grad_norm: 4.5937 loss: 3.2669 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8939 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.3730 2023/02/02 15:58:27 - mmengine - INFO - Epoch(train) [184][1560/1879] lr: 2.3887e-02 eta: 19:20:51 time: 0.5163 data_time: 0.0430 memory: 18104 grad_norm: 4.5708 loss: 3.5200 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0846 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.4355 2023/02/02 15:58:38 - mmengine - INFO - Epoch(train) [184][1580/1879] lr: 2.3881e-02 eta: 19:20:41 time: 0.5167 data_time: 0.0401 memory: 18104 grad_norm: 4.6051 loss: 3.3786 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9926 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.3860 2023/02/02 15:58:48 - mmengine - INFO - Epoch(train) [184][1600/1879] lr: 2.3874e-02 eta: 19:20:32 time: 0.5276 data_time: 0.0341 memory: 18104 grad_norm: 4.7057 loss: 3.5744 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 2.2158 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.3586 2023/02/02 15:58:58 - mmengine - INFO - Epoch(train) [184][1620/1879] lr: 2.3868e-02 eta: 19:20:21 time: 0.5058 data_time: 0.0338 memory: 18104 grad_norm: 4.5140 loss: 3.3035 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8856 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.4179 2023/02/02 15:59:08 - mmengine - INFO - Epoch(train) [184][1640/1879] lr: 2.3862e-02 eta: 19:20:10 time: 0.5059 data_time: 0.0314 memory: 18104 grad_norm: 4.5683 loss: 3.7663 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.3496 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.4167 2023/02/02 15:59:19 - mmengine - INFO - Epoch(train) [184][1660/1879] lr: 2.3855e-02 eta: 19:20:01 time: 0.5264 data_time: 0.0448 memory: 18104 grad_norm: 4.5982 loss: 3.3219 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.8829 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.4390 2023/02/02 15:59:29 - mmengine - INFO - Epoch(train) [184][1680/1879] lr: 2.3849e-02 eta: 19:19:51 time: 0.5153 data_time: 0.0320 memory: 18104 grad_norm: 4.5944 loss: 3.1841 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.8628 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.3213 2023/02/02 15:59:39 - mmengine - INFO - Epoch(train) [184][1700/1879] lr: 2.3842e-02 eta: 19:19:39 time: 0.4987 data_time: 0.0340 memory: 18104 grad_norm: 4.5562 loss: 3.2205 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7816 top1_acc_1: 0.6588 top5_acc_1: 0.9176 loss_cls_1: 1.4389 2023/02/02 15:59:50 - mmengine - INFO - Epoch(train) [184][1720/1879] lr: 2.3836e-02 eta: 19:19:32 time: 0.5375 data_time: 0.0503 memory: 18104 grad_norm: 4.6831 loss: 3.4881 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.1384 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.3497 2023/02/02 16:00:00 - mmengine - INFO - Epoch(train) [184][1740/1879] lr: 2.3830e-02 eta: 19:19:22 time: 0.5165 data_time: 0.0348 memory: 18104 grad_norm: 4.4624 loss: 3.4759 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.0619 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.4140 2023/02/02 16:00:11 - mmengine - INFO - Epoch(train) [184][1760/1879] lr: 2.3823e-02 eta: 19:19:10 time: 0.5051 data_time: 0.0345 memory: 18104 grad_norm: 4.5346 loss: 3.4431 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0784 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.3646 2023/02/02 16:00:21 - mmengine - INFO - Epoch(train) [184][1780/1879] lr: 2.3817e-02 eta: 19:19:01 time: 0.5163 data_time: 0.0446 memory: 18104 grad_norm: 4.5811 loss: 3.3393 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0038 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.3355 2023/02/02 16:00:31 - mmengine - INFO - Epoch(train) [184][1800/1879] lr: 2.3810e-02 eta: 19:18:49 time: 0.5072 data_time: 0.0331 memory: 18104 grad_norm: 4.5373 loss: 3.4530 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0656 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.3873 2023/02/02 16:00:41 - mmengine - INFO - Epoch(train) [184][1820/1879] lr: 2.3804e-02 eta: 19:18:39 time: 0.5149 data_time: 0.0340 memory: 18104 grad_norm: 4.6297 loss: 3.2126 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.8434 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.3692 2023/02/02 16:00:51 - mmengine - INFO - Epoch(train) [184][1840/1879] lr: 2.3797e-02 eta: 19:18:27 time: 0.5002 data_time: 0.0328 memory: 18104 grad_norm: 4.4946 loss: 3.1753 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.8535 top1_acc_1: 0.5647 top5_acc_1: 0.8118 loss_cls_1: 1.3217 2023/02/02 16:01:02 - mmengine - INFO - Epoch(train) [184][1860/1879] lr: 2.3791e-02 eta: 19:18:18 time: 0.5194 data_time: 0.0406 memory: 18104 grad_norm: 4.6483 loss: 3.2255 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.8063 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.4192 2023/02/02 16:01:11 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 16:01:11 - mmengine - INFO - Epoch(train) [184][1879/1879] lr: 2.3785e-02 eta: 19:18:06 time: 0.4963 data_time: 0.0335 memory: 18104 grad_norm: 4.7449 loss: 3.2598 top1_acc_0: 0.5714 top5_acc_0: 0.5714 loss_cls_0: 1.8284 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.4314 2023/02/02 16:01:12 - mmengine - INFO - Saving checkpoint at 184 epochs 2023/02/02 16:01:23 - mmengine - INFO - Epoch(val) [184][ 20/155] eta: 0:01:01 time: 0.4557 data_time: 0.3427 memory: 1900 2023/02/02 16:01:32 - mmengine - INFO - Epoch(val) [184][ 40/155] eta: 0:00:52 time: 0.4576 data_time: 0.3451 memory: 1900 2023/02/02 16:01:40 - mmengine - INFO - Epoch(val) [184][ 60/155] eta: 0:00:42 time: 0.4207 data_time: 0.3094 memory: 1900 2023/02/02 16:01:49 - mmengine - INFO - Epoch(val) [184][ 80/155] eta: 0:00:33 time: 0.4571 data_time: 0.3460 memory: 1900 2023/02/02 16:01:58 - mmengine - INFO - Epoch(val) [184][100/155] eta: 0:00:24 time: 0.4502 data_time: 0.3382 memory: 1900 2023/02/02 16:02:08 - mmengine - INFO - Epoch(val) [184][120/155] eta: 0:00:15 time: 0.4683 data_time: 0.3570 memory: 1900 2023/02/02 16:02:16 - mmengine - INFO - Epoch(val) [184][140/155] eta: 0:00:06 time: 0.4368 data_time: 0.3254 memory: 1900 2023/02/02 16:02:24 - mmengine - INFO - Epoch(val) [184][155/155] acc/top1: 0.5796 acc/top5: 0.8061 acc/mean1: 0.5794 2023/02/02 16:02:38 - mmengine - INFO - Epoch(train) [185][ 20/1879] lr: 2.3779e-02 eta: 19:18:20 time: 0.7160 data_time: 0.2540 memory: 18104 grad_norm: 4.5763 loss: 3.4226 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.9583 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.4643 2023/02/02 16:02:48 - mmengine - INFO - Epoch(train) [185][ 40/1879] lr: 2.3772e-02 eta: 19:18:05 time: 0.4733 data_time: 0.0346 memory: 18104 grad_norm: 4.6281 loss: 3.2304 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8779 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.3525 2023/02/02 16:02:58 - mmengine - INFO - Epoch(train) [185][ 60/1879] lr: 2.3766e-02 eta: 19:17:53 time: 0.4988 data_time: 0.0351 memory: 18104 grad_norm: 4.6442 loss: 3.2012 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.8645 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.3366 2023/02/02 16:03:09 - mmengine - INFO - Epoch(train) [185][ 80/1879] lr: 2.3759e-02 eta: 19:17:48 time: 0.5585 data_time: 0.0346 memory: 18104 grad_norm: 4.6268 loss: 3.5281 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.1251 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.4030 2023/02/02 16:03:19 - mmengine - INFO - Epoch(train) [185][ 100/1879] lr: 2.3753e-02 eta: 19:17:37 time: 0.5085 data_time: 0.0313 memory: 18104 grad_norm: 4.6100 loss: 3.2023 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.9032 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.2991 2023/02/02 16:03:29 - mmengine - INFO - Epoch(train) [185][ 120/1879] lr: 2.3746e-02 eta: 19:17:24 time: 0.4885 data_time: 0.0346 memory: 18104 grad_norm: 4.6635 loss: 3.1153 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.7278 top1_acc_1: 0.5412 top5_acc_1: 0.8471 loss_cls_1: 1.3875 2023/02/02 16:03:40 - mmengine - INFO - Epoch(train) [185][ 140/1879] lr: 2.3740e-02 eta: 19:17:16 time: 0.5325 data_time: 0.0363 memory: 18104 grad_norm: 4.5275 loss: 3.3202 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.8431 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.4772 2023/02/02 16:03:50 - mmengine - INFO - Epoch(train) [185][ 160/1879] lr: 2.3734e-02 eta: 19:17:05 time: 0.5125 data_time: 0.0365 memory: 18104 grad_norm: 4.5600 loss: 3.2593 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.9284 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.3309 2023/02/02 16:04:00 - mmengine - INFO - Epoch(train) [185][ 180/1879] lr: 2.3727e-02 eta: 19:16:54 time: 0.5094 data_time: 0.0309 memory: 18104 grad_norm: 4.6565 loss: 3.3586 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.0220 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.3367 2023/02/02 16:04:11 - mmengine - INFO - Epoch(train) [185][ 200/1879] lr: 2.3721e-02 eta: 19:16:44 time: 0.5177 data_time: 0.0366 memory: 18104 grad_norm: 4.6107 loss: 3.4735 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0582 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.4153 2023/02/02 16:04:21 - mmengine - INFO - Epoch(train) [185][ 220/1879] lr: 2.3714e-02 eta: 19:16:36 time: 0.5278 data_time: 0.0411 memory: 18104 grad_norm: 4.6635 loss: 3.2752 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9546 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.3206 2023/02/02 16:04:31 - mmengine - INFO - Epoch(train) [185][ 240/1879] lr: 2.3708e-02 eta: 19:16:24 time: 0.5040 data_time: 0.0376 memory: 18104 grad_norm: 4.5205 loss: 3.2448 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8707 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.3742 2023/02/02 16:04:42 - mmengine - INFO - Epoch(train) [185][ 260/1879] lr: 2.3702e-02 eta: 19:16:14 time: 0.5136 data_time: 0.0296 memory: 18104 grad_norm: 4.5175 loss: 3.3193 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9050 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.4143 2023/02/02 16:04:44 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 16:04:52 - mmengine - INFO - Epoch(train) [185][ 280/1879] lr: 2.3695e-02 eta: 19:16:04 time: 0.5168 data_time: 0.0430 memory: 18104 grad_norm: 4.5710 loss: 3.3386 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9699 top1_acc_1: 0.6941 top5_acc_1: 0.8118 loss_cls_1: 1.3687 2023/02/02 16:05:02 - mmengine - INFO - Epoch(train) [185][ 300/1879] lr: 2.3689e-02 eta: 19:15:53 time: 0.5064 data_time: 0.0307 memory: 18104 grad_norm: 4.6049 loss: 3.4229 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0329 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.3900 2023/02/02 16:05:12 - mmengine - INFO - Epoch(train) [185][ 320/1879] lr: 2.3682e-02 eta: 19:15:42 time: 0.5035 data_time: 0.0357 memory: 18104 grad_norm: 4.6764 loss: 3.3214 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9617 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.3597 2023/02/02 16:05:23 - mmengine - INFO - Epoch(train) [185][ 340/1879] lr: 2.3676e-02 eta: 19:15:33 time: 0.5258 data_time: 0.0301 memory: 18104 grad_norm: 4.5985 loss: 3.1927 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8061 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.3866 2023/02/02 16:05:33 - mmengine - INFO - Epoch(train) [185][ 360/1879] lr: 2.3670e-02 eta: 19:15:22 time: 0.5126 data_time: 0.0459 memory: 18104 grad_norm: 4.5871 loss: 3.3302 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8516 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.4786 2023/02/02 16:05:43 - mmengine - INFO - Epoch(train) [185][ 380/1879] lr: 2.3663e-02 eta: 19:15:13 time: 0.5186 data_time: 0.0309 memory: 18104 grad_norm: 4.5110 loss: 3.2026 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8097 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.3929 2023/02/02 16:05:54 - mmengine - INFO - Epoch(train) [185][ 400/1879] lr: 2.3657e-02 eta: 19:15:02 time: 0.5140 data_time: 0.0359 memory: 18104 grad_norm: 4.6096 loss: 2.9732 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.5754 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.3979 2023/02/02 16:06:04 - mmengine - INFO - Epoch(train) [185][ 420/1879] lr: 2.3650e-02 eta: 19:14:54 time: 0.5322 data_time: 0.0492 memory: 18104 grad_norm: 4.6212 loss: 3.2171 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7690 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.4481 2023/02/02 16:06:15 - mmengine - INFO - Epoch(train) [185][ 440/1879] lr: 2.3644e-02 eta: 19:14:43 time: 0.5074 data_time: 0.0366 memory: 18104 grad_norm: 4.5995 loss: 3.2603 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9238 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.3365 2023/02/02 16:06:25 - mmengine - INFO - Epoch(train) [185][ 460/1879] lr: 2.3638e-02 eta: 19:14:36 time: 0.5374 data_time: 0.0296 memory: 18104 grad_norm: 4.5164 loss: 3.6015 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.1298 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.4717 2023/02/02 16:06:36 - mmengine - INFO - Epoch(train) [185][ 480/1879] lr: 2.3631e-02 eta: 19:14:26 time: 0.5152 data_time: 0.0353 memory: 18104 grad_norm: 4.5831 loss: 3.2352 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.8309 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.4043 2023/02/02 16:06:46 - mmengine - INFO - Epoch(train) [185][ 500/1879] lr: 2.3625e-02 eta: 19:14:16 time: 0.5178 data_time: 0.0381 memory: 18104 grad_norm: 4.6441 loss: 3.3443 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.9972 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.3471 2023/02/02 16:06:56 - mmengine - INFO - Epoch(train) [185][ 520/1879] lr: 2.3618e-02 eta: 19:14:06 time: 0.5168 data_time: 0.0365 memory: 18104 grad_norm: 4.5789 loss: 3.1866 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8116 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.3750 2023/02/02 16:07:07 - mmengine - INFO - Epoch(train) [185][ 540/1879] lr: 2.3612e-02 eta: 19:13:57 time: 0.5250 data_time: 0.0297 memory: 18104 grad_norm: 4.7003 loss: 3.2149 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8680 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.3469 2023/02/02 16:07:17 - mmengine - INFO - Epoch(train) [185][ 560/1879] lr: 2.3606e-02 eta: 19:13:47 time: 0.5168 data_time: 0.0462 memory: 18104 grad_norm: 4.6728 loss: 3.2664 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9531 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.3133 2023/02/02 16:07:28 - mmengine - INFO - Epoch(train) [185][ 580/1879] lr: 2.3599e-02 eta: 19:13:39 time: 0.5303 data_time: 0.0303 memory: 18104 grad_norm: 4.5956 loss: 3.2342 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8064 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.4278 2023/02/02 16:07:38 - mmengine - INFO - Epoch(train) [185][ 600/1879] lr: 2.3593e-02 eta: 19:13:28 time: 0.5093 data_time: 0.0346 memory: 18104 grad_norm: 4.5727 loss: 3.2388 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8471 top1_acc_1: 0.6353 top5_acc_1: 0.7647 loss_cls_1: 1.3917 2023/02/02 16:07:48 - mmengine - INFO - Epoch(train) [185][ 620/1879] lr: 2.3586e-02 eta: 19:13:18 time: 0.5137 data_time: 0.0308 memory: 18104 grad_norm: 4.6316 loss: 3.2788 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8808 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.3979 2023/02/02 16:07:59 - mmengine - INFO - Epoch(train) [185][ 640/1879] lr: 2.3580e-02 eta: 19:13:07 time: 0.5138 data_time: 0.0444 memory: 18104 grad_norm: 4.7490 loss: 3.4005 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0612 top1_acc_1: 0.6353 top5_acc_1: 0.9176 loss_cls_1: 1.3393 2023/02/02 16:08:09 - mmengine - INFO - Epoch(train) [185][ 660/1879] lr: 2.3574e-02 eta: 19:12:58 time: 0.5204 data_time: 0.0317 memory: 18104 grad_norm: 4.6519 loss: 3.6328 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.1647 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.4681 2023/02/02 16:08:19 - mmengine - INFO - Epoch(train) [185][ 680/1879] lr: 2.3567e-02 eta: 19:12:48 time: 0.5153 data_time: 0.0368 memory: 18104 grad_norm: 4.5359 loss: 3.4149 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9602 top1_acc_1: 0.7059 top5_acc_1: 0.8118 loss_cls_1: 1.4547 2023/02/02 16:08:30 - mmengine - INFO - Epoch(train) [185][ 700/1879] lr: 2.3561e-02 eta: 19:12:39 time: 0.5284 data_time: 0.0375 memory: 18104 grad_norm: 4.6115 loss: 3.5211 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.1299 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.3912 2023/02/02 16:08:40 - mmengine - INFO - Epoch(train) [185][ 720/1879] lr: 2.3554e-02 eta: 19:12:29 time: 0.5179 data_time: 0.0387 memory: 18104 grad_norm: 4.5538 loss: 3.2528 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9036 top1_acc_1: 0.7647 top5_acc_1: 0.8588 loss_cls_1: 1.3492 2023/02/02 16:08:51 - mmengine - INFO - Epoch(train) [185][ 740/1879] lr: 2.3548e-02 eta: 19:12:20 time: 0.5240 data_time: 0.0285 memory: 18104 grad_norm: 4.4930 loss: 3.2857 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.9012 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.3845 2023/02/02 16:09:01 - mmengine - INFO - Epoch(train) [185][ 760/1879] lr: 2.3542e-02 eta: 19:12:09 time: 0.5047 data_time: 0.0356 memory: 18104 grad_norm: 4.5968 loss: 3.2914 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.9886 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.3027 2023/02/02 16:09:12 - mmengine - INFO - Epoch(train) [185][ 780/1879] lr: 2.3535e-02 eta: 19:12:00 time: 0.5284 data_time: 0.0311 memory: 18104 grad_norm: 4.5930 loss: 3.3547 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.0632 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.2915 2023/02/02 16:09:22 - mmengine - INFO - Epoch(train) [185][ 800/1879] lr: 2.3529e-02 eta: 19:11:49 time: 0.5024 data_time: 0.0345 memory: 18104 grad_norm: 4.6283 loss: 3.2881 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8447 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.4434 2023/02/02 16:09:32 - mmengine - INFO - Epoch(train) [185][ 820/1879] lr: 2.3523e-02 eta: 19:11:40 time: 0.5275 data_time: 0.0316 memory: 18104 grad_norm: 4.5924 loss: 3.2304 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.8356 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.3948 2023/02/02 16:09:43 - mmengine - INFO - Epoch(train) [185][ 840/1879] lr: 2.3516e-02 eta: 19:11:29 time: 0.5118 data_time: 0.0513 memory: 18104 grad_norm: 4.5875 loss: 3.2568 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.8638 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.3929 2023/02/02 16:09:53 - mmengine - INFO - Epoch(train) [185][ 860/1879] lr: 2.3510e-02 eta: 19:11:21 time: 0.5274 data_time: 0.0313 memory: 18104 grad_norm: 4.5398 loss: 3.3958 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.0845 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.3113 2023/02/02 16:10:03 - mmengine - INFO - Epoch(train) [185][ 880/1879] lr: 2.3503e-02 eta: 19:11:09 time: 0.5014 data_time: 0.0349 memory: 18104 grad_norm: 4.7233 loss: 3.3339 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.9023 top1_acc_1: 0.5765 top5_acc_1: 0.9059 loss_cls_1: 1.4316 2023/02/02 16:10:14 - mmengine - INFO - Epoch(train) [185][ 900/1879] lr: 2.3497e-02 eta: 19:11:00 time: 0.5220 data_time: 0.0423 memory: 18104 grad_norm: 4.6484 loss: 3.4280 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.9583 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.4697 2023/02/02 16:10:24 - mmengine - INFO - Epoch(train) [185][ 920/1879] lr: 2.3491e-02 eta: 19:10:49 time: 0.5103 data_time: 0.0332 memory: 18104 grad_norm: 4.6898 loss: 3.4417 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0956 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.3461 2023/02/02 16:10:34 - mmengine - INFO - Epoch(train) [185][ 940/1879] lr: 2.3484e-02 eta: 19:10:39 time: 0.5168 data_time: 0.0316 memory: 18104 grad_norm: 4.6669 loss: 3.3202 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.8152 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.5050 2023/02/02 16:10:44 - mmengine - INFO - Epoch(train) [185][ 960/1879] lr: 2.3478e-02 eta: 19:10:28 time: 0.5120 data_time: 0.0428 memory: 18104 grad_norm: 4.6478 loss: 3.4012 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0294 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.3718 2023/02/02 16:10:55 - mmengine - INFO - Epoch(train) [185][ 980/1879] lr: 2.3471e-02 eta: 19:10:19 time: 0.5241 data_time: 0.0335 memory: 18104 grad_norm: 4.5772 loss: 3.1914 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.8521 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.3393 2023/02/02 16:11:05 - mmengine - INFO - Epoch(train) [185][1000/1879] lr: 2.3465e-02 eta: 19:10:08 time: 0.5092 data_time: 0.0341 memory: 18104 grad_norm: 4.5467 loss: 3.2463 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.9231 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.3231 2023/02/02 16:11:16 - mmengine - INFO - Epoch(train) [185][1020/1879] lr: 2.3459e-02 eta: 19:10:01 time: 0.5359 data_time: 0.0437 memory: 18104 grad_norm: 4.6265 loss: 3.4685 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.1135 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.3550 2023/02/02 16:11:26 - mmengine - INFO - Epoch(train) [185][1040/1879] lr: 2.3452e-02 eta: 19:09:49 time: 0.5039 data_time: 0.0342 memory: 18104 grad_norm: 4.6833 loss: 3.4284 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0321 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.3963 2023/02/02 16:11:36 - mmengine - INFO - Epoch(train) [185][1060/1879] lr: 2.3446e-02 eta: 19:09:40 time: 0.5187 data_time: 0.0307 memory: 18104 grad_norm: 4.6809 loss: 3.2642 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8892 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.3749 2023/02/02 16:11:47 - mmengine - INFO - Epoch(train) [185][1080/1879] lr: 2.3440e-02 eta: 19:09:30 time: 0.5231 data_time: 0.0352 memory: 18104 grad_norm: 4.5870 loss: 3.1703 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7456 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.4246 2023/02/02 16:11:57 - mmengine - INFO - Epoch(train) [185][1100/1879] lr: 2.3433e-02 eta: 19:09:20 time: 0.5109 data_time: 0.0314 memory: 18104 grad_norm: 4.5681 loss: 3.2865 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9107 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.3758 2023/02/02 16:12:07 - mmengine - INFO - Epoch(train) [185][1120/1879] lr: 2.3427e-02 eta: 19:09:08 time: 0.5048 data_time: 0.0334 memory: 18104 grad_norm: 4.4338 loss: 3.2691 top1_acc_0: 0.3750 top5_acc_0: 0.4375 loss_cls_0: 1.9302 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.3389 2023/02/02 16:12:18 - mmengine - INFO - Epoch(train) [185][1140/1879] lr: 2.3420e-02 eta: 19:08:59 time: 0.5212 data_time: 0.0326 memory: 18104 grad_norm: 4.6388 loss: 3.2954 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7847 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.5107 2023/02/02 16:12:28 - mmengine - INFO - Epoch(train) [185][1160/1879] lr: 2.3414e-02 eta: 19:08:48 time: 0.5095 data_time: 0.0433 memory: 18104 grad_norm: 4.5187 loss: 3.1286 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.6883 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4403 2023/02/02 16:12:38 - mmengine - INFO - Epoch(train) [185][1180/1879] lr: 2.3408e-02 eta: 19:08:38 time: 0.5184 data_time: 0.0362 memory: 18104 grad_norm: 4.5791 loss: 3.5482 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0847 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.4635 2023/02/02 16:12:48 - mmengine - INFO - Epoch(train) [185][1200/1879] lr: 2.3401e-02 eta: 19:08:27 time: 0.5068 data_time: 0.0352 memory: 18104 grad_norm: 4.6735 loss: 3.4656 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0193 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.4463 2023/02/02 16:12:59 - mmengine - INFO - Epoch(train) [185][1220/1879] lr: 2.3395e-02 eta: 19:08:18 time: 0.5266 data_time: 0.0405 memory: 18104 grad_norm: 4.4977 loss: 3.0809 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.7498 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.3311 2023/02/02 16:13:09 - mmengine - INFO - Epoch(train) [185][1240/1879] lr: 2.3388e-02 eta: 19:08:06 time: 0.4972 data_time: 0.0334 memory: 18104 grad_norm: 4.5380 loss: 3.0196 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6762 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 1.3434 2023/02/02 16:13:20 - mmengine - INFO - Epoch(train) [185][1260/1879] lr: 2.3382e-02 eta: 19:07:58 time: 0.5341 data_time: 0.0330 memory: 18104 grad_norm: 4.6930 loss: 3.6093 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.2121 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.3972 2023/02/02 16:13:22 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 16:13:30 - mmengine - INFO - Epoch(train) [185][1280/1879] lr: 2.3376e-02 eta: 19:07:48 time: 0.5133 data_time: 0.0338 memory: 18104 grad_norm: 4.4515 loss: 3.2233 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.8759 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.3474 2023/02/02 16:13:40 - mmengine - INFO - Epoch(train) [185][1300/1879] lr: 2.3369e-02 eta: 19:07:38 time: 0.5195 data_time: 0.0431 memory: 18104 grad_norm: 4.7091 loss: 3.4421 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.1007 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.3414 2023/02/02 16:13:51 - mmengine - INFO - Epoch(train) [185][1320/1879] lr: 2.3363e-02 eta: 19:07:28 time: 0.5144 data_time: 0.0338 memory: 18104 grad_norm: 4.7114 loss: 3.4194 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.1132 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.3062 2023/02/02 16:14:01 - mmengine - INFO - Epoch(train) [185][1340/1879] lr: 2.3357e-02 eta: 19:07:19 time: 0.5247 data_time: 0.0324 memory: 18104 grad_norm: 4.5206 loss: 3.2292 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.9255 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.3037 2023/02/02 16:14:11 - mmengine - INFO - Epoch(train) [185][1360/1879] lr: 2.3350e-02 eta: 19:07:08 time: 0.5109 data_time: 0.0320 memory: 18104 grad_norm: 4.6804 loss: 3.4059 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.9981 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.4079 2023/02/02 16:14:22 - mmengine - INFO - Epoch(train) [185][1380/1879] lr: 2.3344e-02 eta: 19:06:58 time: 0.5092 data_time: 0.0342 memory: 18104 grad_norm: 4.5560 loss: 3.3572 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 1.8934 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.4638 2023/02/02 16:14:32 - mmengine - INFO - Epoch(train) [185][1400/1879] lr: 2.3338e-02 eta: 19:06:48 time: 0.5207 data_time: 0.0342 memory: 18104 grad_norm: 4.5682 loss: 3.3355 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.9534 top1_acc_1: 0.7882 top5_acc_1: 0.8824 loss_cls_1: 1.3821 2023/02/02 16:14:42 - mmengine - INFO - Epoch(train) [185][1420/1879] lr: 2.3331e-02 eta: 19:06:38 time: 0.5126 data_time: 0.0350 memory: 18104 grad_norm: 4.6244 loss: 3.2275 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.9110 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.3165 2023/02/02 16:14:53 - mmengine - INFO - Epoch(train) [185][1440/1879] lr: 2.3325e-02 eta: 19:06:28 time: 0.5226 data_time: 0.0513 memory: 18104 grad_norm: 4.5633 loss: 3.4129 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9892 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.4237 2023/02/02 16:15:03 - mmengine - INFO - Epoch(train) [185][1460/1879] lr: 2.3318e-02 eta: 19:06:19 time: 0.5228 data_time: 0.0353 memory: 18104 grad_norm: 4.5924 loss: 3.5722 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1845 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.3877 2023/02/02 16:15:14 - mmengine - INFO - Epoch(train) [185][1480/1879] lr: 2.3312e-02 eta: 19:06:10 time: 0.5224 data_time: 0.0321 memory: 18104 grad_norm: 4.5688 loss: 3.4416 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 2.0652 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.3764 2023/02/02 16:15:24 - mmengine - INFO - Epoch(train) [185][1500/1879] lr: 2.3306e-02 eta: 19:05:59 time: 0.5095 data_time: 0.0349 memory: 18104 grad_norm: 4.6649 loss: 3.4152 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.9767 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.4386 2023/02/02 16:15:34 - mmengine - INFO - Epoch(train) [185][1520/1879] lr: 2.3299e-02 eta: 19:05:49 time: 0.5184 data_time: 0.0437 memory: 18104 grad_norm: 4.6159 loss: 3.2579 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8417 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.4162 2023/02/02 16:15:45 - mmengine - INFO - Epoch(train) [185][1540/1879] lr: 2.3293e-02 eta: 19:05:40 time: 0.5236 data_time: 0.0343 memory: 18104 grad_norm: 4.6698 loss: 3.3294 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.9155 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.4140 2023/02/02 16:15:55 - mmengine - INFO - Epoch(train) [185][1560/1879] lr: 2.3287e-02 eta: 19:05:29 time: 0.5061 data_time: 0.0363 memory: 18104 grad_norm: 4.7357 loss: 3.2745 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9050 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.3695 2023/02/02 16:16:05 - mmengine - INFO - Epoch(train) [185][1580/1879] lr: 2.3280e-02 eta: 19:05:19 time: 0.5158 data_time: 0.0335 memory: 18104 grad_norm: 4.6235 loss: 3.2135 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7962 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.4174 2023/02/02 16:16:16 - mmengine - INFO - Epoch(train) [185][1600/1879] lr: 2.3274e-02 eta: 19:05:08 time: 0.5071 data_time: 0.0317 memory: 18104 grad_norm: 4.6162 loss: 3.3902 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9192 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.4710 2023/02/02 16:16:26 - mmengine - INFO - Epoch(train) [185][1620/1879] lr: 2.3267e-02 eta: 19:04:57 time: 0.5070 data_time: 0.0379 memory: 18104 grad_norm: 4.5812 loss: 3.4069 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9946 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4123 2023/02/02 16:16:35 - mmengine - INFO - Epoch(train) [185][1640/1879] lr: 2.3261e-02 eta: 19:04:44 time: 0.4898 data_time: 0.0287 memory: 18104 grad_norm: 4.6429 loss: 3.4243 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.0368 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.3875 2023/02/02 16:16:46 - mmengine - INFO - Epoch(train) [185][1660/1879] lr: 2.3255e-02 eta: 19:04:36 time: 0.5334 data_time: 0.0454 memory: 18104 grad_norm: 4.6876 loss: 3.2111 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7940 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.4171 2023/02/02 16:16:57 - mmengine - INFO - Epoch(train) [185][1680/1879] lr: 2.3248e-02 eta: 19:04:28 time: 0.5373 data_time: 0.0311 memory: 18104 grad_norm: 4.6635 loss: 3.5676 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.2097 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.3579 2023/02/02 16:17:07 - mmengine - INFO - Epoch(train) [185][1700/1879] lr: 2.3242e-02 eta: 19:04:15 time: 0.4932 data_time: 0.0348 memory: 18104 grad_norm: 4.6540 loss: 3.3288 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.8865 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4423 2023/02/02 16:17:17 - mmengine - INFO - Epoch(train) [185][1720/1879] lr: 2.3236e-02 eta: 19:04:05 time: 0.5134 data_time: 0.0376 memory: 18104 grad_norm: 4.6693 loss: 3.2976 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8739 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.4237 2023/02/02 16:17:27 - mmengine - INFO - Epoch(train) [185][1740/1879] lr: 2.3229e-02 eta: 19:03:54 time: 0.5120 data_time: 0.0374 memory: 18104 grad_norm: 4.6633 loss: 3.1689 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8249 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.3440 2023/02/02 16:17:38 - mmengine - INFO - Epoch(train) [185][1760/1879] lr: 2.3223e-02 eta: 19:03:45 time: 0.5198 data_time: 0.0289 memory: 18104 grad_norm: 4.6935 loss: 3.4340 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0846 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.3494 2023/02/02 16:17:48 - mmengine - INFO - Epoch(train) [185][1780/1879] lr: 2.3217e-02 eta: 19:03:34 time: 0.5071 data_time: 0.0496 memory: 18104 grad_norm: 4.7035 loss: 3.4613 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0517 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.4095 2023/02/02 16:17:58 - mmengine - INFO - Epoch(train) [185][1800/1879] lr: 2.3210e-02 eta: 19:03:24 time: 0.5141 data_time: 0.0298 memory: 18104 grad_norm: 4.6087 loss: 3.1595 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.8157 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.3438 2023/02/02 16:18:09 - mmengine - INFO - Epoch(train) [185][1820/1879] lr: 2.3204e-02 eta: 19:03:13 time: 0.5118 data_time: 0.0372 memory: 18104 grad_norm: 4.5686 loss: 3.2208 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8516 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.3691 2023/02/02 16:18:19 - mmengine - INFO - Epoch(train) [185][1840/1879] lr: 2.3197e-02 eta: 19:03:02 time: 0.5045 data_time: 0.0305 memory: 18104 grad_norm: 4.7186 loss: 3.3107 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.9440 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.3667 2023/02/02 16:18:29 - mmengine - INFO - Epoch(train) [185][1860/1879] lr: 2.3191e-02 eta: 19:02:51 time: 0.5138 data_time: 0.0513 memory: 18104 grad_norm: 4.6637 loss: 3.4170 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9910 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.4260 2023/02/02 16:18:38 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 16:18:38 - mmengine - INFO - Epoch(train) [185][1879/1879] lr: 2.3185e-02 eta: 19:02:39 time: 0.4939 data_time: 0.0314 memory: 18104 grad_norm: 4.6975 loss: 3.3975 top1_acc_0: 0.2857 top5_acc_0: 0.4286 loss_cls_0: 1.9869 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.4107 2023/02/02 16:18:53 - mmengine - INFO - Epoch(train) [186][ 20/1879] lr: 2.3179e-02 eta: 19:02:49 time: 0.7070 data_time: 0.2594 memory: 18104 grad_norm: 4.5797 loss: 3.1514 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8950 top1_acc_1: 0.5882 top5_acc_1: 0.9176 loss_cls_1: 1.2564 2023/02/02 16:19:03 - mmengine - INFO - Epoch(train) [186][ 40/1879] lr: 2.3172e-02 eta: 19:02:36 time: 0.4819 data_time: 0.0334 memory: 18104 grad_norm: 4.5893 loss: 3.2219 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8325 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.3893 2023/02/02 16:19:12 - mmengine - INFO - Epoch(train) [186][ 60/1879] lr: 2.3166e-02 eta: 19:02:22 time: 0.4863 data_time: 0.0369 memory: 18104 grad_norm: 4.5911 loss: 3.1974 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.8748 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.3225 2023/02/02 16:19:23 - mmengine - INFO - Epoch(train) [186][ 80/1879] lr: 2.3160e-02 eta: 19:02:14 time: 0.5319 data_time: 0.0436 memory: 18104 grad_norm: 4.6396 loss: 3.0601 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7184 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.3417 2023/02/02 16:19:33 - mmengine - INFO - Epoch(train) [186][ 100/1879] lr: 2.3153e-02 eta: 19:02:02 time: 0.4968 data_time: 0.0358 memory: 18104 grad_norm: 4.6674 loss: 3.1885 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8809 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.3076 2023/02/02 16:19:43 - mmengine - INFO - Epoch(train) [186][ 120/1879] lr: 2.3147e-02 eta: 19:01:50 time: 0.4997 data_time: 0.0329 memory: 18104 grad_norm: 4.6249 loss: 3.1786 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.7438 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.4348 2023/02/02 16:19:54 - mmengine - INFO - Epoch(train) [186][ 140/1879] lr: 2.3141e-02 eta: 19:01:40 time: 0.5187 data_time: 0.0473 memory: 18104 grad_norm: 4.6760 loss: 3.4470 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 2.1021 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.3449 2023/02/02 16:20:03 - mmengine - INFO - Epoch(train) [186][ 160/1879] lr: 2.3134e-02 eta: 19:01:28 time: 0.4952 data_time: 0.0336 memory: 18104 grad_norm: 4.5940 loss: 3.2177 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.8849 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.3327 2023/02/02 16:20:13 - mmengine - INFO - Epoch(train) [186][ 180/1879] lr: 2.3128e-02 eta: 19:01:15 time: 0.4905 data_time: 0.0362 memory: 18104 grad_norm: 4.4730 loss: 3.2475 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8012 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.4463 2023/02/02 16:20:23 - mmengine - INFO - Epoch(train) [186][ 200/1879] lr: 2.3122e-02 eta: 19:01:04 time: 0.5039 data_time: 0.0320 memory: 18104 grad_norm: 4.5016 loss: 3.2377 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.8509 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.3868 2023/02/02 16:20:34 - mmengine - INFO - Epoch(train) [186][ 220/1879] lr: 2.3115e-02 eta: 19:00:54 time: 0.5150 data_time: 0.0362 memory: 18104 grad_norm: 4.5434 loss: 3.4049 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0049 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.4000 2023/02/02 16:20:44 - mmengine - INFO - Epoch(train) [186][ 240/1879] lr: 2.3109e-02 eta: 19:00:41 time: 0.4966 data_time: 0.0319 memory: 18104 grad_norm: 4.6253 loss: 3.0009 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.6494 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.3515 2023/02/02 16:20:54 - mmengine - INFO - Epoch(train) [186][ 260/1879] lr: 2.3103e-02 eta: 19:00:29 time: 0.4984 data_time: 0.0365 memory: 18104 grad_norm: 4.6624 loss: 3.0899 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7555 top1_acc_1: 0.5882 top5_acc_1: 0.8941 loss_cls_1: 1.3344 2023/02/02 16:21:04 - mmengine - INFO - Epoch(train) [186][ 280/1879] lr: 2.3096e-02 eta: 19:00:19 time: 0.5084 data_time: 0.0305 memory: 18104 grad_norm: 4.6422 loss: 3.0409 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.6896 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.3513 2023/02/02 16:21:14 - mmengine - INFO - Epoch(train) [186][ 300/1879] lr: 2.3090e-02 eta: 19:00:07 time: 0.5035 data_time: 0.0410 memory: 18104 grad_norm: 4.6830 loss: 3.1829 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8588 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.3241 2023/02/02 16:21:24 - mmengine - INFO - Epoch(train) [186][ 320/1879] lr: 2.3083e-02 eta: 18:59:56 time: 0.5101 data_time: 0.0319 memory: 18104 grad_norm: 4.6555 loss: 3.2667 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8892 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.3775 2023/02/02 16:21:34 - mmengine - INFO - Epoch(train) [186][ 340/1879] lr: 2.3077e-02 eta: 18:59:44 time: 0.4970 data_time: 0.0351 memory: 18104 grad_norm: 4.6440 loss: 3.1962 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8428 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.3534 2023/02/02 16:21:44 - mmengine - INFO - Epoch(train) [186][ 360/1879] lr: 2.3071e-02 eta: 18:59:34 time: 0.5128 data_time: 0.0315 memory: 18104 grad_norm: 4.7645 loss: 3.1359 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 1.8251 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.3108 2023/02/02 16:21:54 - mmengine - INFO - Epoch(train) [186][ 380/1879] lr: 2.3064e-02 eta: 18:59:22 time: 0.4947 data_time: 0.0368 memory: 18104 grad_norm: 4.6535 loss: 3.2492 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.8568 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.3924 2023/02/02 16:21:57 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 16:22:04 - mmengine - INFO - Epoch(train) [186][ 400/1879] lr: 2.3058e-02 eta: 18:59:10 time: 0.5055 data_time: 0.0314 memory: 18104 grad_norm: 4.6243 loss: 3.2552 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8868 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.3684 2023/02/02 16:22:14 - mmengine - INFO - Epoch(train) [186][ 420/1879] lr: 2.3052e-02 eta: 18:58:59 time: 0.4986 data_time: 0.0349 memory: 18104 grad_norm: 4.6997 loss: 3.2971 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9313 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.3659 2023/02/02 16:22:25 - mmengine - INFO - Epoch(train) [186][ 440/1879] lr: 2.3045e-02 eta: 18:58:48 time: 0.5153 data_time: 0.0370 memory: 18104 grad_norm: 4.6175 loss: 3.2891 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8842 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.4048 2023/02/02 16:22:35 - mmengine - INFO - Epoch(train) [186][ 460/1879] lr: 2.3039e-02 eta: 18:58:37 time: 0.5004 data_time: 0.0357 memory: 18104 grad_norm: 4.6282 loss: 3.2676 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9290 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.3386 2023/02/02 16:22:45 - mmengine - INFO - Epoch(train) [186][ 480/1879] lr: 2.3033e-02 eta: 18:58:26 time: 0.5098 data_time: 0.0311 memory: 18104 grad_norm: 4.6101 loss: 3.2658 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9307 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.3351 2023/02/02 16:22:55 - mmengine - INFO - Epoch(train) [186][ 500/1879] lr: 2.3026e-02 eta: 18:58:15 time: 0.5027 data_time: 0.0357 memory: 18104 grad_norm: 4.6134 loss: 3.1959 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.8430 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.3529 2023/02/02 16:23:05 - mmengine - INFO - Epoch(train) [186][ 520/1879] lr: 2.3020e-02 eta: 18:58:04 time: 0.5072 data_time: 0.0373 memory: 18104 grad_norm: 4.6253 loss: 3.2231 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.8386 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.3845 2023/02/02 16:23:15 - mmengine - INFO - Epoch(train) [186][ 540/1879] lr: 2.3014e-02 eta: 18:57:53 time: 0.5070 data_time: 0.0356 memory: 18104 grad_norm: 4.7259 loss: 3.3814 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 2.0360 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.3454 2023/02/02 16:23:25 - mmengine - INFO - Epoch(train) [186][ 560/1879] lr: 2.3007e-02 eta: 18:57:41 time: 0.4989 data_time: 0.0312 memory: 18104 grad_norm: 4.6795 loss: 3.5199 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.1238 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.3960 2023/02/02 16:23:36 - mmengine - INFO - Epoch(train) [186][ 580/1879] lr: 2.3001e-02 eta: 18:57:30 time: 0.5111 data_time: 0.0349 memory: 18104 grad_norm: 4.6224 loss: 3.3118 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.8801 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.4317 2023/02/02 16:23:46 - mmengine - INFO - Epoch(train) [186][ 600/1879] lr: 2.2995e-02 eta: 18:57:19 time: 0.5104 data_time: 0.0398 memory: 18104 grad_norm: 4.6229 loss: 3.1749 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8338 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.3411 2023/02/02 16:23:56 - mmengine - INFO - Epoch(train) [186][ 620/1879] lr: 2.2988e-02 eta: 18:57:07 time: 0.4956 data_time: 0.0357 memory: 18104 grad_norm: 4.6014 loss: 3.2267 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9041 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.3225 2023/02/02 16:24:06 - mmengine - INFO - Epoch(train) [186][ 640/1879] lr: 2.2982e-02 eta: 18:56:57 time: 0.5153 data_time: 0.0313 memory: 18104 grad_norm: 4.7350 loss: 3.2898 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8650 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.4248 2023/02/02 16:24:17 - mmengine - INFO - Epoch(train) [186][ 660/1879] lr: 2.2976e-02 eta: 18:56:47 time: 0.5183 data_time: 0.0435 memory: 18104 grad_norm: 4.6757 loss: 3.0285 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6764 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.3521 2023/02/02 16:24:26 - mmengine - INFO - Epoch(train) [186][ 680/1879] lr: 2.2969e-02 eta: 18:56:35 time: 0.4957 data_time: 0.0327 memory: 18104 grad_norm: 4.6718 loss: 3.4293 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.0869 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.3425 2023/02/02 16:24:36 - mmengine - INFO - Epoch(train) [186][ 700/1879] lr: 2.2963e-02 eta: 18:56:23 time: 0.4979 data_time: 0.0357 memory: 18104 grad_norm: 4.6619 loss: 3.2925 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9980 top1_acc_1: 0.7529 top5_acc_1: 0.8588 loss_cls_1: 1.2944 2023/02/02 16:24:47 - mmengine - INFO - Epoch(train) [186][ 720/1879] lr: 2.2957e-02 eta: 18:56:14 time: 0.5274 data_time: 0.0321 memory: 18104 grad_norm: 4.6510 loss: 3.2143 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.9003 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.3140 2023/02/02 16:24:57 - mmengine - INFO - Epoch(train) [186][ 740/1879] lr: 2.2950e-02 eta: 18:56:02 time: 0.4967 data_time: 0.0359 memory: 18104 grad_norm: 4.6273 loss: 3.2783 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.9306 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.3478 2023/02/02 16:25:07 - mmengine - INFO - Epoch(train) [186][ 760/1879] lr: 2.2944e-02 eta: 18:55:51 time: 0.5061 data_time: 0.0321 memory: 18104 grad_norm: 4.6818 loss: 3.4262 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9995 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.4267 2023/02/02 16:25:17 - mmengine - INFO - Epoch(train) [186][ 780/1879] lr: 2.2938e-02 eta: 18:55:40 time: 0.5085 data_time: 0.0362 memory: 18104 grad_norm: 4.6381 loss: 3.2130 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7958 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.4172 2023/02/02 16:25:27 - mmengine - INFO - Epoch(train) [186][ 800/1879] lr: 2.2931e-02 eta: 18:55:30 time: 0.5100 data_time: 0.0324 memory: 18104 grad_norm: 4.6107 loss: 3.3378 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8931 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.4447 2023/02/02 16:25:38 - mmengine - INFO - Epoch(train) [186][ 820/1879] lr: 2.2925e-02 eta: 18:55:18 time: 0.5035 data_time: 0.0421 memory: 18104 grad_norm: 4.6802 loss: 3.2860 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9556 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.3304 2023/02/02 16:25:48 - mmengine - INFO - Epoch(train) [186][ 840/1879] lr: 2.2919e-02 eta: 18:55:07 time: 0.5048 data_time: 0.0334 memory: 18104 grad_norm: 4.6244 loss: 3.1502 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7558 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.3944 2023/02/02 16:25:58 - mmengine - INFO - Epoch(train) [186][ 860/1879] lr: 2.2912e-02 eta: 18:54:56 time: 0.5054 data_time: 0.0360 memory: 18104 grad_norm: 4.5637 loss: 3.1811 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7964 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.3847 2023/02/02 16:26:08 - mmengine - INFO - Epoch(train) [186][ 880/1879] lr: 2.2906e-02 eta: 18:54:45 time: 0.5071 data_time: 0.0392 memory: 18104 grad_norm: 4.6666 loss: 3.4672 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 2.1000 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.3672 2023/02/02 16:26:18 - mmengine - INFO - Epoch(train) [186][ 900/1879] lr: 2.2900e-02 eta: 18:54:34 time: 0.5078 data_time: 0.0364 memory: 18104 grad_norm: 4.6748 loss: 3.3460 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.9274 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.4185 2023/02/02 16:26:28 - mmengine - INFO - Epoch(train) [186][ 920/1879] lr: 2.2893e-02 eta: 18:54:22 time: 0.4972 data_time: 0.0319 memory: 18104 grad_norm: 4.6049 loss: 3.3080 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0012 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.3068 2023/02/02 16:26:38 - mmengine - INFO - Epoch(train) [186][ 940/1879] lr: 2.2887e-02 eta: 18:54:12 time: 0.5115 data_time: 0.0337 memory: 18104 grad_norm: 4.5871 loss: 3.1663 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7925 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.3738 2023/02/02 16:26:48 - mmengine - INFO - Epoch(train) [186][ 960/1879] lr: 2.2881e-02 eta: 18:53:59 time: 0.4942 data_time: 0.0323 memory: 18104 grad_norm: 4.6059 loss: 3.2141 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8383 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.3757 2023/02/02 16:26:58 - mmengine - INFO - Epoch(train) [186][ 980/1879] lr: 2.2874e-02 eta: 18:53:49 time: 0.5089 data_time: 0.0351 memory: 18104 grad_norm: 4.7462 loss: 3.1066 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.7694 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.3373 2023/02/02 16:27:09 - mmengine - INFO - Epoch(train) [186][1000/1879] lr: 2.2868e-02 eta: 18:53:37 time: 0.5017 data_time: 0.0308 memory: 18104 grad_norm: 4.5398 loss: 3.2728 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9205 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.3523 2023/02/02 16:27:19 - mmengine - INFO - Epoch(train) [186][1020/1879] lr: 2.2862e-02 eta: 18:53:25 time: 0.5001 data_time: 0.0430 memory: 18104 grad_norm: 4.6523 loss: 3.1588 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7874 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.3714 2023/02/02 16:27:29 - mmengine - INFO - Epoch(train) [186][1040/1879] lr: 2.2855e-02 eta: 18:53:14 time: 0.5056 data_time: 0.0315 memory: 18104 grad_norm: 4.7776 loss: 3.4212 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.1056 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.3156 2023/02/02 16:27:39 - mmengine - INFO - Epoch(train) [186][1060/1879] lr: 2.2849e-02 eta: 18:53:02 time: 0.4961 data_time: 0.0354 memory: 18104 grad_norm: 4.6499 loss: 3.3914 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0256 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.3657 2023/02/02 16:27:49 - mmengine - INFO - Epoch(train) [186][1080/1879] lr: 2.2843e-02 eta: 18:52:50 time: 0.4988 data_time: 0.0391 memory: 18104 grad_norm: 4.5708 loss: 3.1736 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7769 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.3967 2023/02/02 16:27:59 - mmengine - INFO - Epoch(train) [186][1100/1879] lr: 2.2836e-02 eta: 18:52:39 time: 0.5067 data_time: 0.0347 memory: 18104 grad_norm: 4.6376 loss: 3.1723 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.8005 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.3718 2023/02/02 16:28:09 - mmengine - INFO - Epoch(train) [186][1120/1879] lr: 2.2830e-02 eta: 18:52:29 time: 0.5139 data_time: 0.0323 memory: 18104 grad_norm: 4.6889 loss: 3.3040 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8957 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.4084 2023/02/02 16:28:19 - mmengine - INFO - Epoch(train) [186][1140/1879] lr: 2.2824e-02 eta: 18:52:17 time: 0.5011 data_time: 0.0353 memory: 18104 grad_norm: 4.7944 loss: 3.3864 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.0679 top1_acc_1: 0.6941 top5_acc_1: 0.8118 loss_cls_1: 1.3185 2023/02/02 16:28:29 - mmengine - INFO - Epoch(train) [186][1160/1879] lr: 2.2817e-02 eta: 18:52:06 time: 0.4979 data_time: 0.0378 memory: 18104 grad_norm: 4.7312 loss: 3.3591 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.9810 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.3781 2023/02/02 16:28:40 - mmengine - INFO - Epoch(train) [186][1180/1879] lr: 2.2811e-02 eta: 18:51:56 time: 0.5183 data_time: 0.0365 memory: 18104 grad_norm: 4.5455 loss: 3.1568 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7804 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.3764 2023/02/02 16:28:50 - mmengine - INFO - Epoch(train) [186][1200/1879] lr: 2.2805e-02 eta: 18:51:45 time: 0.5077 data_time: 0.0318 memory: 18104 grad_norm: 4.6521 loss: 3.3325 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0028 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.3297 2023/02/02 16:29:00 - mmengine - INFO - Epoch(train) [186][1220/1879] lr: 2.2798e-02 eta: 18:51:34 time: 0.5030 data_time: 0.0412 memory: 18104 grad_norm: 4.6680 loss: 3.4045 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.9823 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.4222 2023/02/02 16:29:10 - mmengine - INFO - Epoch(train) [186][1240/1879] lr: 2.2792e-02 eta: 18:51:23 time: 0.5125 data_time: 0.0341 memory: 18104 grad_norm: 4.7676 loss: 3.3366 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0151 top1_acc_1: 0.6235 top5_acc_1: 0.8941 loss_cls_1: 1.3215 2023/02/02 16:29:20 - mmengine - INFO - Epoch(train) [186][1260/1879] lr: 2.2786e-02 eta: 18:51:12 time: 0.5083 data_time: 0.0345 memory: 18104 grad_norm: 4.7003 loss: 3.2934 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9420 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.3515 2023/02/02 16:29:30 - mmengine - INFO - Epoch(train) [186][1280/1879] lr: 2.2780e-02 eta: 18:51:00 time: 0.4934 data_time: 0.0319 memory: 18104 grad_norm: 4.7083 loss: 3.5104 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 2.0963 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.4140 2023/02/02 16:29:40 - mmengine - INFO - Epoch(train) [186][1300/1879] lr: 2.2773e-02 eta: 18:50:49 time: 0.5100 data_time: 0.0371 memory: 18104 grad_norm: 4.6729 loss: 3.5632 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.2231 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.3401 2023/02/02 16:29:51 - mmengine - INFO - Epoch(train) [186][1320/1879] lr: 2.2767e-02 eta: 18:50:40 time: 0.5197 data_time: 0.0324 memory: 18104 grad_norm: 4.6753 loss: 3.1837 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.8022 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.3815 2023/02/02 16:30:01 - mmengine - INFO - Epoch(train) [186][1340/1879] lr: 2.2761e-02 eta: 18:50:28 time: 0.4981 data_time: 0.0360 memory: 18104 grad_norm: 4.7263 loss: 3.4499 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0759 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.3740 2023/02/02 16:30:11 - mmengine - INFO - Epoch(train) [186][1360/1879] lr: 2.2754e-02 eta: 18:50:17 time: 0.5072 data_time: 0.0392 memory: 18104 grad_norm: 4.6161 loss: 3.2273 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 1.8538 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.3735 2023/02/02 16:30:21 - mmengine - INFO - Epoch(train) [186][1380/1879] lr: 2.2748e-02 eta: 18:50:05 time: 0.5019 data_time: 0.0342 memory: 18104 grad_norm: 4.7312 loss: 3.3196 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9990 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.3207 2023/02/02 16:30:24 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 16:30:31 - mmengine - INFO - Epoch(train) [186][1400/1879] lr: 2.2742e-02 eta: 18:49:53 time: 0.4944 data_time: 0.0322 memory: 18104 grad_norm: 4.7777 loss: 3.5361 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.1839 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.3522 2023/02/02 16:30:41 - mmengine - INFO - Epoch(train) [186][1420/1879] lr: 2.2735e-02 eta: 18:49:41 time: 0.4927 data_time: 0.0374 memory: 18104 grad_norm: 4.7342 loss: 3.4927 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0552 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.4375 2023/02/02 16:30:51 - mmengine - INFO - Epoch(train) [186][1440/1879] lr: 2.2729e-02 eta: 18:49:29 time: 0.5033 data_time: 0.0391 memory: 18104 grad_norm: 4.6289 loss: 3.2223 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8691 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.3532 2023/02/02 16:31:01 - mmengine - INFO - Epoch(train) [186][1460/1879] lr: 2.2723e-02 eta: 18:49:19 time: 0.5075 data_time: 0.0347 memory: 18104 grad_norm: 4.6655 loss: 3.2296 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.8511 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.3785 2023/02/02 16:31:11 - mmengine - INFO - Epoch(train) [186][1480/1879] lr: 2.2716e-02 eta: 18:49:06 time: 0.4902 data_time: 0.0327 memory: 18104 grad_norm: 4.6696 loss: 3.2435 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8637 top1_acc_1: 0.6235 top5_acc_1: 0.8941 loss_cls_1: 1.3798 2023/02/02 16:31:21 - mmengine - INFO - Epoch(train) [186][1500/1879] lr: 2.2710e-02 eta: 18:48:55 time: 0.5038 data_time: 0.0418 memory: 18104 grad_norm: 4.7800 loss: 3.5201 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0636 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.4565 2023/02/02 16:31:31 - mmengine - INFO - Epoch(train) [186][1520/1879] lr: 2.2704e-02 eta: 18:48:44 time: 0.5082 data_time: 0.0330 memory: 18104 grad_norm: 4.6778 loss: 3.2484 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7885 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.4600 2023/02/02 16:31:41 - mmengine - INFO - Epoch(train) [186][1540/1879] lr: 2.2697e-02 eta: 18:48:32 time: 0.4990 data_time: 0.0363 memory: 18104 grad_norm: 4.6722 loss: 3.4574 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0872 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.3702 2023/02/02 16:31:51 - mmengine - INFO - Epoch(train) [186][1560/1879] lr: 2.2691e-02 eta: 18:48:21 time: 0.5005 data_time: 0.0314 memory: 18104 grad_norm: 4.6902 loss: 3.4766 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0770 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.3997 2023/02/02 16:32:02 - mmengine - INFO - Epoch(train) [186][1580/1879] lr: 2.2685e-02 eta: 18:48:11 time: 0.5197 data_time: 0.0374 memory: 18104 grad_norm: 4.6268 loss: 3.3900 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.9664 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.4236 2023/02/02 16:32:12 - mmengine - INFO - Epoch(train) [186][1600/1879] lr: 2.2679e-02 eta: 18:47:59 time: 0.4994 data_time: 0.0304 memory: 18104 grad_norm: 4.7942 loss: 3.2749 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9278 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.3471 2023/02/02 16:32:22 - mmengine - INFO - Epoch(train) [186][1620/1879] lr: 2.2672e-02 eta: 18:47:48 time: 0.5078 data_time: 0.0373 memory: 18104 grad_norm: 4.6343 loss: 3.2322 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.8760 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.3562 2023/02/02 16:32:32 - mmengine - INFO - Epoch(train) [186][1640/1879] lr: 2.2666e-02 eta: 18:47:37 time: 0.4998 data_time: 0.0368 memory: 18104 grad_norm: 4.6229 loss: 3.5160 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.1366 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.3794 2023/02/02 16:32:42 - mmengine - INFO - Epoch(train) [186][1660/1879] lr: 2.2660e-02 eta: 18:47:26 time: 0.5083 data_time: 0.0376 memory: 18104 grad_norm: 4.6575 loss: 3.3393 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8890 top1_acc_1: 0.5529 top5_acc_1: 0.8471 loss_cls_1: 1.4504 2023/02/02 16:32:52 - mmengine - INFO - Epoch(train) [186][1680/1879] lr: 2.2653e-02 eta: 18:47:15 time: 0.5027 data_time: 0.0306 memory: 18104 grad_norm: 4.7211 loss: 3.4183 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.0686 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.3497 2023/02/02 16:33:02 - mmengine - INFO - Epoch(train) [186][1700/1879] lr: 2.2647e-02 eta: 18:47:04 time: 0.5145 data_time: 0.0449 memory: 18104 grad_norm: 4.6622 loss: 3.1848 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8413 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.3435 2023/02/02 16:33:13 - mmengine - INFO - Epoch(train) [186][1720/1879] lr: 2.2641e-02 eta: 18:46:54 time: 0.5114 data_time: 0.0300 memory: 18104 grad_norm: 4.6382 loss: 3.2164 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8546 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.3619 2023/02/02 16:33:23 - mmengine - INFO - Epoch(train) [186][1740/1879] lr: 2.2634e-02 eta: 18:46:44 time: 0.5152 data_time: 0.0390 memory: 18104 grad_norm: 4.7050 loss: 3.2719 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.8526 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.4193 2023/02/02 16:33:33 - mmengine - INFO - Epoch(train) [186][1760/1879] lr: 2.2628e-02 eta: 18:46:33 time: 0.5045 data_time: 0.0310 memory: 18104 grad_norm: 4.7609 loss: 3.3075 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.8145 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.4930 2023/02/02 16:33:43 - mmengine - INFO - Epoch(train) [186][1780/1879] lr: 2.2622e-02 eta: 18:46:23 time: 0.5157 data_time: 0.0498 memory: 18104 grad_norm: 4.6886 loss: 3.2265 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.7973 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.4293 2023/02/02 16:33:53 - mmengine - INFO - Epoch(train) [186][1800/1879] lr: 2.2615e-02 eta: 18:46:11 time: 0.5028 data_time: 0.0308 memory: 18104 grad_norm: 4.7059 loss: 3.0973 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6451 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.4522 2023/02/02 16:34:04 - mmengine - INFO - Epoch(train) [186][1820/1879] lr: 2.2609e-02 eta: 18:46:01 time: 0.5102 data_time: 0.0387 memory: 18104 grad_norm: 4.7213 loss: 3.2409 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8743 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.3666 2023/02/02 16:34:14 - mmengine - INFO - Epoch(train) [186][1840/1879] lr: 2.2603e-02 eta: 18:45:49 time: 0.5031 data_time: 0.0304 memory: 18104 grad_norm: 4.6173 loss: 3.4495 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 1.9901 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.4594 2023/02/02 16:34:24 - mmengine - INFO - Epoch(train) [186][1860/1879] lr: 2.2597e-02 eta: 18:45:39 time: 0.5104 data_time: 0.0378 memory: 18104 grad_norm: 4.6813 loss: 3.3353 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.9357 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.3996 2023/02/02 16:34:33 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 16:34:33 - mmengine - INFO - Epoch(train) [186][1879/1879] lr: 2.2591e-02 eta: 18:45:25 time: 0.4725 data_time: 0.0277 memory: 18104 grad_norm: 4.6950 loss: 3.0192 top1_acc_0: 0.7143 top5_acc_0: 1.0000 loss_cls_0: 1.6677 top1_acc_1: 0.7529 top5_acc_1: 0.8588 loss_cls_1: 1.3515 2023/02/02 16:34:48 - mmengine - INFO - Epoch(train) [187][ 20/1879] lr: 2.2584e-02 eta: 18:45:34 time: 0.7093 data_time: 0.2568 memory: 18104 grad_norm: 4.6488 loss: 3.2807 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0287 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.2520 2023/02/02 16:34:57 - mmengine - INFO - Epoch(train) [187][ 40/1879] lr: 2.2578e-02 eta: 18:45:21 time: 0.4804 data_time: 0.0316 memory: 18104 grad_norm: 4.6589 loss: 3.4581 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0905 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.3676 2023/02/02 16:35:07 - mmengine - INFO - Epoch(train) [187][ 60/1879] lr: 2.2572e-02 eta: 18:45:08 time: 0.4924 data_time: 0.0341 memory: 18104 grad_norm: 4.4444 loss: 3.1159 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.8259 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.2900 2023/02/02 16:35:18 - mmengine - INFO - Epoch(train) [187][ 80/1879] lr: 2.2565e-02 eta: 18:45:00 time: 0.5285 data_time: 0.0418 memory: 18104 grad_norm: 4.5551 loss: 3.0575 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7084 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.3491 2023/02/02 16:35:28 - mmengine - INFO - Epoch(train) [187][ 100/1879] lr: 2.2559e-02 eta: 18:44:47 time: 0.4920 data_time: 0.0338 memory: 18104 grad_norm: 4.6279 loss: 3.3471 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0392 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.3079 2023/02/02 16:35:37 - mmengine - INFO - Epoch(train) [187][ 120/1879] lr: 2.2553e-02 eta: 18:44:34 time: 0.4850 data_time: 0.0345 memory: 18104 grad_norm: 4.6526 loss: 3.2739 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9272 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.3467 2023/02/02 16:35:47 - mmengine - INFO - Epoch(train) [187][ 140/1879] lr: 2.2547e-02 eta: 18:44:22 time: 0.4994 data_time: 0.0352 memory: 18104 grad_norm: 4.4768 loss: 3.1294 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7729 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.3566 2023/02/02 16:35:58 - mmengine - INFO - Epoch(train) [187][ 160/1879] lr: 2.2540e-02 eta: 18:44:12 time: 0.5102 data_time: 0.0369 memory: 18104 grad_norm: 4.5872 loss: 3.3412 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0014 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.3397 2023/02/02 16:36:08 - mmengine - INFO - Epoch(train) [187][ 180/1879] lr: 2.2534e-02 eta: 18:44:00 time: 0.4951 data_time: 0.0365 memory: 18104 grad_norm: 4.6437 loss: 3.1921 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8272 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.3649 2023/02/02 16:36:17 - mmengine - INFO - Epoch(train) [187][ 200/1879] lr: 2.2528e-02 eta: 18:43:47 time: 0.4933 data_time: 0.0320 memory: 18104 grad_norm: 4.6676 loss: 3.4234 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0606 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.3628 2023/02/02 16:36:28 - mmengine - INFO - Epoch(train) [187][ 220/1879] lr: 2.2521e-02 eta: 18:43:38 time: 0.5169 data_time: 0.0405 memory: 18104 grad_norm: 4.6856 loss: 3.4714 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.1350 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.3365 2023/02/02 16:36:38 - mmengine - INFO - Epoch(train) [187][ 240/1879] lr: 2.2515e-02 eta: 18:43:26 time: 0.4972 data_time: 0.0326 memory: 18104 grad_norm: 4.6026 loss: 3.2552 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.8984 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.3568 2023/02/02 16:36:48 - mmengine - INFO - Epoch(train) [187][ 260/1879] lr: 2.2509e-02 eta: 18:43:15 time: 0.5082 data_time: 0.0337 memory: 18104 grad_norm: 4.7306 loss: 3.3115 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.9963 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.3152 2023/02/02 16:36:58 - mmengine - INFO - Epoch(train) [187][ 280/1879] lr: 2.2502e-02 eta: 18:43:03 time: 0.4989 data_time: 0.0327 memory: 18104 grad_norm: 4.5748 loss: 3.1798 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9577 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.2221 2023/02/02 16:37:08 - mmengine - INFO - Epoch(train) [187][ 300/1879] lr: 2.2496e-02 eta: 18:42:54 time: 0.5240 data_time: 0.0353 memory: 18104 grad_norm: 4.6330 loss: 3.3405 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 2.0264 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 1.3142 2023/02/02 16:37:18 - mmengine - INFO - Epoch(train) [187][ 320/1879] lr: 2.2490e-02 eta: 18:42:42 time: 0.5004 data_time: 0.0320 memory: 18104 grad_norm: 4.6862 loss: 3.2986 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9681 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.3305 2023/02/02 16:37:29 - mmengine - INFO - Epoch(train) [187][ 340/1879] lr: 2.2484e-02 eta: 18:42:31 time: 0.5038 data_time: 0.0345 memory: 18104 grad_norm: 4.7570 loss: 3.3606 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.0057 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.3549 2023/02/02 16:37:39 - mmengine - INFO - Epoch(train) [187][ 360/1879] lr: 2.2477e-02 eta: 18:42:20 time: 0.5041 data_time: 0.0396 memory: 18104 grad_norm: 4.6951 loss: 3.2883 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.8924 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.3959 2023/02/02 16:37:49 - mmengine - INFO - Epoch(train) [187][ 380/1879] lr: 2.2471e-02 eta: 18:42:11 time: 0.5248 data_time: 0.0341 memory: 18104 grad_norm: 4.6732 loss: 3.1883 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8225 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.3658 2023/02/02 16:37:59 - mmengine - INFO - Epoch(train) [187][ 400/1879] lr: 2.2465e-02 eta: 18:41:59 time: 0.4954 data_time: 0.0323 memory: 18104 grad_norm: 4.6427 loss: 3.3379 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9990 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.3389 2023/02/02 16:38:09 - mmengine - INFO - Epoch(train) [187][ 420/1879] lr: 2.2458e-02 eta: 18:41:48 time: 0.5068 data_time: 0.0347 memory: 18104 grad_norm: 4.5800 loss: 3.1564 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.7886 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.3678 2023/02/02 16:38:20 - mmengine - INFO - Epoch(train) [187][ 440/1879] lr: 2.2452e-02 eta: 18:41:38 time: 0.5148 data_time: 0.0398 memory: 18104 grad_norm: 4.7310 loss: 3.2762 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8988 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.3774 2023/02/02 16:38:30 - mmengine - INFO - Epoch(train) [187][ 460/1879] lr: 2.2446e-02 eta: 18:41:28 time: 0.5165 data_time: 0.0349 memory: 18104 grad_norm: 4.6284 loss: 3.0464 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7555 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.2909 2023/02/02 16:38:40 - mmengine - INFO - Epoch(train) [187][ 480/1879] lr: 2.2440e-02 eta: 18:41:16 time: 0.4961 data_time: 0.0351 memory: 18104 grad_norm: 4.7251 loss: 2.9843 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6130 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.3713 2023/02/02 16:38:50 - mmengine - INFO - Epoch(train) [187][ 500/1879] lr: 2.2433e-02 eta: 18:41:06 time: 0.5216 data_time: 0.0401 memory: 18104 grad_norm: 4.6886 loss: 3.2849 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.9163 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.3686 2023/02/02 16:38:53 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 16:39:01 - mmengine - INFO - Epoch(train) [187][ 520/1879] lr: 2.2427e-02 eta: 18:40:56 time: 0.5106 data_time: 0.0346 memory: 18104 grad_norm: 4.6378 loss: 3.2831 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.9984 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.2847 2023/02/02 16:39:11 - mmengine - INFO - Epoch(train) [187][ 540/1879] lr: 2.2421e-02 eta: 18:40:45 time: 0.5055 data_time: 0.0340 memory: 18104 grad_norm: 4.6609 loss: 3.2537 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8557 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.3980 2023/02/02 16:39:21 - mmengine - INFO - Epoch(train) [187][ 560/1879] lr: 2.2414e-02 eta: 18:40:34 time: 0.5037 data_time: 0.0349 memory: 18104 grad_norm: 4.5897 loss: 3.1351 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.8876 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.2475 2023/02/02 16:39:31 - mmengine - INFO - Epoch(train) [187][ 580/1879] lr: 2.2408e-02 eta: 18:40:23 time: 0.5134 data_time: 0.0412 memory: 18104 grad_norm: 4.8175 loss: 3.3785 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0163 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.3622 2023/02/02 16:39:41 - mmengine - INFO - Epoch(train) [187][ 600/1879] lr: 2.2402e-02 eta: 18:40:11 time: 0.4924 data_time: 0.0288 memory: 18104 grad_norm: 4.7575 loss: 3.1942 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7852 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.4090 2023/02/02 16:39:51 - mmengine - INFO - Epoch(train) [187][ 620/1879] lr: 2.2396e-02 eta: 18:40:01 time: 0.5164 data_time: 0.0377 memory: 18104 grad_norm: 4.7320 loss: 3.3227 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9204 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.4023 2023/02/02 16:40:01 - mmengine - INFO - Epoch(train) [187][ 640/1879] lr: 2.2389e-02 eta: 18:39:50 time: 0.5020 data_time: 0.0366 memory: 18104 grad_norm: 4.7686 loss: 3.4859 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 2.1088 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.3771 2023/02/02 16:40:12 - mmengine - INFO - Epoch(train) [187][ 660/1879] lr: 2.2383e-02 eta: 18:39:40 time: 0.5221 data_time: 0.0403 memory: 18104 grad_norm: 4.7846 loss: 3.4419 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9908 top1_acc_1: 0.5412 top5_acc_1: 0.8471 loss_cls_1: 1.4510 2023/02/02 16:40:22 - mmengine - INFO - Epoch(train) [187][ 680/1879] lr: 2.2377e-02 eta: 18:39:29 time: 0.4981 data_time: 0.0331 memory: 18104 grad_norm: 4.6425 loss: 3.4104 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0579 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.3526 2023/02/02 16:40:32 - mmengine - INFO - Epoch(train) [187][ 700/1879] lr: 2.2371e-02 eta: 18:39:19 time: 0.5243 data_time: 0.0430 memory: 18104 grad_norm: 4.8101 loss: 3.1644 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 1.7839 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.3805 2023/02/02 16:40:42 - mmengine - INFO - Epoch(train) [187][ 720/1879] lr: 2.2364e-02 eta: 18:39:08 time: 0.4987 data_time: 0.0344 memory: 18104 grad_norm: 4.8555 loss: 3.2263 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.8460 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.3803 2023/02/02 16:40:53 - mmengine - INFO - Epoch(train) [187][ 740/1879] lr: 2.2358e-02 eta: 18:38:58 time: 0.5234 data_time: 0.0328 memory: 18104 grad_norm: 4.6833 loss: 3.1123 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7846 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.3277 2023/02/02 16:41:03 - mmengine - INFO - Epoch(train) [187][ 760/1879] lr: 2.2352e-02 eta: 18:38:49 time: 0.5186 data_time: 0.0418 memory: 18104 grad_norm: 4.7411 loss: 3.3039 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9486 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.3552 2023/02/02 16:41:14 - mmengine - INFO - Epoch(train) [187][ 780/1879] lr: 2.2345e-02 eta: 18:38:39 time: 0.5227 data_time: 0.0337 memory: 18104 grad_norm: 4.7222 loss: 3.3126 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9962 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.3165 2023/02/02 16:41:24 - mmengine - INFO - Epoch(train) [187][ 800/1879] lr: 2.2339e-02 eta: 18:38:28 time: 0.5074 data_time: 0.0343 memory: 18104 grad_norm: 4.7706 loss: 3.2618 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.8847 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.3771 2023/02/02 16:41:34 - mmengine - INFO - Epoch(train) [187][ 820/1879] lr: 2.2333e-02 eta: 18:38:18 time: 0.5170 data_time: 0.0319 memory: 18104 grad_norm: 4.7777 loss: 3.2304 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8690 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.3614 2023/02/02 16:41:44 - mmengine - INFO - Epoch(train) [187][ 840/1879] lr: 2.2327e-02 eta: 18:38:08 time: 0.5148 data_time: 0.0419 memory: 18104 grad_norm: 4.6737 loss: 3.4022 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0062 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.3960 2023/02/02 16:41:55 - mmengine - INFO - Epoch(train) [187][ 860/1879] lr: 2.2320e-02 eta: 18:37:58 time: 0.5123 data_time: 0.0332 memory: 18104 grad_norm: 4.5807 loss: 3.1811 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7901 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.3909 2023/02/02 16:42:05 - mmengine - INFO - Epoch(train) [187][ 880/1879] lr: 2.2314e-02 eta: 18:37:48 time: 0.5164 data_time: 0.0351 memory: 18104 grad_norm: 4.6614 loss: 3.4323 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.0789 top1_acc_1: 0.7059 top5_acc_1: 0.7882 loss_cls_1: 1.3534 2023/02/02 16:42:16 - mmengine - INFO - Epoch(train) [187][ 900/1879] lr: 2.2308e-02 eta: 18:37:39 time: 0.5303 data_time: 0.0381 memory: 18104 grad_norm: 4.7376 loss: 3.3024 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0359 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.2665 2023/02/02 16:42:26 - mmengine - INFO - Epoch(train) [187][ 920/1879] lr: 2.2301e-02 eta: 18:37:29 time: 0.5076 data_time: 0.0361 memory: 18104 grad_norm: 4.8044 loss: 3.3672 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.9395 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.4277 2023/02/02 16:42:36 - mmengine - INFO - Epoch(train) [187][ 940/1879] lr: 2.2295e-02 eta: 18:37:20 time: 0.5268 data_time: 0.0328 memory: 18104 grad_norm: 4.5729 loss: 3.2658 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.8635 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.4023 2023/02/02 16:42:47 - mmengine - INFO - Epoch(train) [187][ 960/1879] lr: 2.2289e-02 eta: 18:37:10 time: 0.5180 data_time: 0.0446 memory: 18104 grad_norm: 4.6517 loss: 3.3762 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9671 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.4090 2023/02/02 16:42:57 - mmengine - INFO - Epoch(train) [187][ 980/1879] lr: 2.2283e-02 eta: 18:37:00 time: 0.5228 data_time: 0.0307 memory: 18104 grad_norm: 4.6417 loss: 3.3495 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0155 top1_acc_1: 0.7412 top5_acc_1: 0.8471 loss_cls_1: 1.3340 2023/02/02 16:43:07 - mmengine - INFO - Epoch(train) [187][1000/1879] lr: 2.2276e-02 eta: 18:36:49 time: 0.5051 data_time: 0.0360 memory: 18104 grad_norm: 4.5880 loss: 3.0289 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6736 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.3553 2023/02/02 16:43:18 - mmengine - INFO - Epoch(train) [187][1020/1879] lr: 2.2270e-02 eta: 18:36:41 time: 0.5349 data_time: 0.0320 memory: 18104 grad_norm: 4.7749 loss: 3.2210 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.8528 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.3682 2023/02/02 16:43:28 - mmengine - INFO - Epoch(train) [187][1040/1879] lr: 2.2264e-02 eta: 18:36:31 time: 0.5114 data_time: 0.0424 memory: 18104 grad_norm: 4.6636 loss: 3.1099 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 1.8326 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.2773 2023/02/02 16:43:39 - mmengine - INFO - Epoch(train) [187][1060/1879] lr: 2.2258e-02 eta: 18:36:20 time: 0.5118 data_time: 0.0327 memory: 18104 grad_norm: 4.6059 loss: 3.3775 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9677 top1_acc_1: 0.6235 top5_acc_1: 0.9059 loss_cls_1: 1.4098 2023/02/02 16:43:49 - mmengine - INFO - Epoch(train) [187][1080/1879] lr: 2.2251e-02 eta: 18:36:10 time: 0.5146 data_time: 0.0365 memory: 18104 grad_norm: 4.6682 loss: 3.2067 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8862 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.3206 2023/02/02 16:44:00 - mmengine - INFO - Epoch(train) [187][1100/1879] lr: 2.2245e-02 eta: 18:36:02 time: 0.5314 data_time: 0.0403 memory: 18104 grad_norm: 4.6439 loss: 3.4178 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.0404 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.3774 2023/02/02 16:44:10 - mmengine - INFO - Epoch(train) [187][1120/1879] lr: 2.2239e-02 eta: 18:35:51 time: 0.5126 data_time: 0.0351 memory: 18104 grad_norm: 4.6634 loss: 3.4365 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.1059 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.3305 2023/02/02 16:44:20 - mmengine - INFO - Epoch(train) [187][1140/1879] lr: 2.2233e-02 eta: 18:35:42 time: 0.5290 data_time: 0.0321 memory: 18104 grad_norm: 4.6958 loss: 3.3836 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9640 top1_acc_1: 0.6353 top5_acc_1: 0.9176 loss_cls_1: 1.4197 2023/02/02 16:44:31 - mmengine - INFO - Epoch(train) [187][1160/1879] lr: 2.2226e-02 eta: 18:35:33 time: 0.5220 data_time: 0.0346 memory: 18104 grad_norm: 4.7619 loss: 3.2443 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9669 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.2774 2023/02/02 16:44:41 - mmengine - INFO - Epoch(train) [187][1180/1879] lr: 2.2220e-02 eta: 18:35:24 time: 0.5255 data_time: 0.0402 memory: 18104 grad_norm: 4.7599 loss: 3.2169 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9538 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2630 2023/02/02 16:44:52 - mmengine - INFO - Epoch(train) [187][1200/1879] lr: 2.2214e-02 eta: 18:35:14 time: 0.5130 data_time: 0.0339 memory: 18104 grad_norm: 4.6971 loss: 3.1935 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9554 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.2381 2023/02/02 16:45:02 - mmengine - INFO - Epoch(train) [187][1220/1879] lr: 2.2208e-02 eta: 18:35:04 time: 0.5263 data_time: 0.0323 memory: 18104 grad_norm: 4.6572 loss: 3.4206 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0440 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.3766 2023/02/02 16:45:13 - mmengine - INFO - Epoch(train) [187][1240/1879] lr: 2.2201e-02 eta: 18:34:55 time: 0.5251 data_time: 0.0421 memory: 18104 grad_norm: 4.6423 loss: 3.3917 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0005 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.3912 2023/02/02 16:45:23 - mmengine - INFO - Epoch(train) [187][1260/1879] lr: 2.2195e-02 eta: 18:34:45 time: 0.5179 data_time: 0.0320 memory: 18104 grad_norm: 4.6084 loss: 3.3113 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8924 top1_acc_1: 0.6471 top5_acc_1: 0.9176 loss_cls_1: 1.4190 2023/02/02 16:45:34 - mmengine - INFO - Epoch(train) [187][1280/1879] lr: 2.2189e-02 eta: 18:34:37 time: 0.5316 data_time: 0.0346 memory: 18104 grad_norm: 4.5475 loss: 3.1226 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7828 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.3399 2023/02/02 16:45:44 - mmengine - INFO - Epoch(train) [187][1300/1879] lr: 2.2182e-02 eta: 18:34:28 time: 0.5271 data_time: 0.0392 memory: 18104 grad_norm: 4.6866 loss: 3.4265 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0451 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.3814 2023/02/02 16:45:55 - mmengine - INFO - Epoch(train) [187][1320/1879] lr: 2.2176e-02 eta: 18:34:19 time: 0.5243 data_time: 0.0350 memory: 18104 grad_norm: 4.7779 loss: 3.4308 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0028 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.4280 2023/02/02 16:46:06 - mmengine - INFO - Epoch(train) [187][1340/1879] lr: 2.2170e-02 eta: 18:34:10 time: 0.5284 data_time: 0.0316 memory: 18104 grad_norm: 4.6556 loss: 3.4467 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.0491 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.3976 2023/02/02 16:46:16 - mmengine - INFO - Epoch(train) [187][1360/1879] lr: 2.2164e-02 eta: 18:34:01 time: 0.5286 data_time: 0.0377 memory: 18104 grad_norm: 4.7174 loss: 3.3436 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.9883 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.3553 2023/02/02 16:46:27 - mmengine - INFO - Epoch(train) [187][1380/1879] lr: 2.2157e-02 eta: 18:33:52 time: 0.5279 data_time: 0.0376 memory: 18104 grad_norm: 4.6277 loss: 3.4562 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0411 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.4151 2023/02/02 16:46:37 - mmengine - INFO - Epoch(train) [187][1400/1879] lr: 2.2151e-02 eta: 18:33:43 time: 0.5242 data_time: 0.0348 memory: 18104 grad_norm: 4.6756 loss: 3.4149 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0731 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.3418 2023/02/02 16:46:48 - mmengine - INFO - Epoch(train) [187][1420/1879] lr: 2.2145e-02 eta: 18:33:34 time: 0.5298 data_time: 0.0309 memory: 18104 grad_norm: 4.7008 loss: 3.1544 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.8634 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 1.2910 2023/02/02 16:46:58 - mmengine - INFO - Epoch(train) [187][1440/1879] lr: 2.2139e-02 eta: 18:33:25 time: 0.5250 data_time: 0.0432 memory: 18104 grad_norm: 4.7479 loss: 3.2627 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.8396 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.4231 2023/02/02 16:47:09 - mmengine - INFO - Epoch(train) [187][1460/1879] lr: 2.2132e-02 eta: 18:33:16 time: 0.5279 data_time: 0.0302 memory: 18104 grad_norm: 4.6921 loss: 3.2658 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.8709 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.3950 2023/02/02 16:47:19 - mmengine - INFO - Epoch(train) [187][1480/1879] lr: 2.2126e-02 eta: 18:33:07 time: 0.5235 data_time: 0.0365 memory: 18104 grad_norm: 4.6414 loss: 3.4196 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0189 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.4007 2023/02/02 16:47:30 - mmengine - INFO - Epoch(train) [187][1500/1879] lr: 2.2120e-02 eta: 18:32:57 time: 0.5209 data_time: 0.0321 memory: 18104 grad_norm: 4.7023 loss: 3.1908 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.8272 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.3635 2023/02/02 16:47:33 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 16:47:40 - mmengine - INFO - Epoch(train) [187][1520/1879] lr: 2.2114e-02 eta: 18:32:47 time: 0.5188 data_time: 0.0423 memory: 18104 grad_norm: 4.7301 loss: 3.2236 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8903 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.3334 2023/02/02 16:47:51 - mmengine - INFO - Epoch(train) [187][1540/1879] lr: 2.2107e-02 eta: 18:32:39 time: 0.5404 data_time: 0.0345 memory: 18104 grad_norm: 4.6599 loss: 3.3430 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0028 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.3402 2023/02/02 16:48:01 - mmengine - INFO - Epoch(train) [187][1560/1879] lr: 2.2101e-02 eta: 18:32:29 time: 0.5104 data_time: 0.0323 memory: 18104 grad_norm: 4.6544 loss: 3.2828 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.9308 top1_acc_1: 0.6706 top5_acc_1: 0.8000 loss_cls_1: 1.3520 2023/02/02 16:48:12 - mmengine - INFO - Epoch(train) [187][1580/1879] lr: 2.2095e-02 eta: 18:32:20 time: 0.5250 data_time: 0.0402 memory: 18104 grad_norm: 4.6913 loss: 3.2188 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9069 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.3119 2023/02/02 16:48:22 - mmengine - INFO - Epoch(train) [187][1600/1879] lr: 2.2089e-02 eta: 18:32:11 time: 0.5286 data_time: 0.0330 memory: 18104 grad_norm: 4.7823 loss: 3.3731 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0064 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 1.3668 2023/02/02 16:48:33 - mmengine - INFO - Epoch(train) [187][1620/1879] lr: 2.2082e-02 eta: 18:32:01 time: 0.5190 data_time: 0.0333 memory: 18104 grad_norm: 4.7107 loss: 3.2843 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.8851 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.3992 2023/02/02 16:48:43 - mmengine - INFO - Epoch(train) [187][1640/1879] lr: 2.2076e-02 eta: 18:31:51 time: 0.5151 data_time: 0.0319 memory: 18104 grad_norm: 4.8099 loss: 3.4348 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 2.0461 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.3887 2023/02/02 16:48:54 - mmengine - INFO - Epoch(train) [187][1660/1879] lr: 2.2070e-02 eta: 18:31:42 time: 0.5279 data_time: 0.0401 memory: 18104 grad_norm: 4.7458 loss: 3.2886 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 1.8775 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.4111 2023/02/02 16:49:04 - mmengine - INFO - Epoch(train) [187][1680/1879] lr: 2.2064e-02 eta: 18:31:32 time: 0.5199 data_time: 0.0330 memory: 18104 grad_norm: 4.6603 loss: 3.1793 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7816 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.3977 2023/02/02 16:49:14 - mmengine - INFO - Epoch(train) [187][1700/1879] lr: 2.2057e-02 eta: 18:31:22 time: 0.5153 data_time: 0.0346 memory: 18104 grad_norm: 4.8050 loss: 3.3382 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9186 top1_acc_1: 0.6471 top5_acc_1: 0.7647 loss_cls_1: 1.4196 2023/02/02 16:49:25 - mmengine - INFO - Epoch(train) [187][1720/1879] lr: 2.2051e-02 eta: 18:31:13 time: 0.5221 data_time: 0.0400 memory: 18104 grad_norm: 4.6967 loss: 3.3923 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 1.9825 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.4098 2023/02/02 16:49:36 - mmengine - INFO - Epoch(train) [187][1740/1879] lr: 2.2045e-02 eta: 18:31:05 time: 0.5395 data_time: 0.0354 memory: 18104 grad_norm: 4.6409 loss: 3.2210 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.8092 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.4118 2023/02/02 16:49:46 - mmengine - INFO - Epoch(train) [187][1760/1879] lr: 2.2039e-02 eta: 18:30:56 time: 0.5329 data_time: 0.0331 memory: 18104 grad_norm: 4.7088 loss: 3.2583 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8630 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.3953 2023/02/02 16:49:57 - mmengine - INFO - Epoch(train) [187][1780/1879] lr: 2.2032e-02 eta: 18:30:47 time: 0.5293 data_time: 0.0347 memory: 18104 grad_norm: 4.8023 loss: 3.4655 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1147 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.3508 2023/02/02 16:50:08 - mmengine - INFO - Epoch(train) [187][1800/1879] lr: 2.2026e-02 eta: 18:30:41 time: 0.5528 data_time: 0.0377 memory: 18104 grad_norm: 4.6815 loss: 3.5034 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.2147 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.2887 2023/02/02 16:50:19 - mmengine - INFO - Epoch(train) [187][1820/1879] lr: 2.2020e-02 eta: 18:30:32 time: 0.5293 data_time: 0.0335 memory: 18104 grad_norm: 4.7402 loss: 3.2037 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8564 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.3473 2023/02/02 16:50:30 - mmengine - INFO - Epoch(train) [187][1840/1879] lr: 2.2014e-02 eta: 18:30:25 time: 0.5464 data_time: 0.0354 memory: 18104 grad_norm: 4.6626 loss: 3.3851 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9116 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.4735 2023/02/02 16:50:40 - mmengine - INFO - Epoch(train) [187][1860/1879] lr: 2.2008e-02 eta: 18:30:17 time: 0.5406 data_time: 0.0406 memory: 18104 grad_norm: 4.5954 loss: 3.0279 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.7080 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.3199 2023/02/02 16:50:50 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 16:50:50 - mmengine - INFO - Epoch(train) [187][1879/1879] lr: 2.2002e-02 eta: 18:30:06 time: 0.4970 data_time: 0.0301 memory: 18104 grad_norm: 4.8174 loss: 3.3889 top1_acc_0: 0.7143 top5_acc_0: 0.8571 loss_cls_0: 2.0391 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.3498 2023/02/02 16:51:05 - mmengine - INFO - Epoch(train) [188][ 20/1879] lr: 2.1995e-02 eta: 18:30:15 time: 0.7249 data_time: 0.2477 memory: 18104 grad_norm: 4.5996 loss: 3.2453 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.9055 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.3397 2023/02/02 16:51:15 - mmengine - INFO - Epoch(train) [188][ 40/1879] lr: 2.1989e-02 eta: 18:30:02 time: 0.4829 data_time: 0.0332 memory: 18104 grad_norm: 4.6605 loss: 3.1881 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8487 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.3394 2023/02/02 16:51:25 - mmengine - INFO - Epoch(train) [188][ 60/1879] lr: 2.1983e-02 eta: 18:29:52 time: 0.5139 data_time: 0.0362 memory: 18104 grad_norm: 4.5889 loss: 3.0889 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7784 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.3105 2023/02/02 16:51:35 - mmengine - INFO - Epoch(train) [188][ 80/1879] lr: 2.1977e-02 eta: 18:29:42 time: 0.5163 data_time: 0.0439 memory: 18104 grad_norm: 4.6258 loss: 3.2651 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.9665 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.2986 2023/02/02 16:51:46 - mmengine - INFO - Epoch(train) [188][ 100/1879] lr: 2.1970e-02 eta: 18:29:31 time: 0.5087 data_time: 0.0343 memory: 18104 grad_norm: 4.6523 loss: 3.4517 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0786 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.3730 2023/02/02 16:51:55 - mmengine - INFO - Epoch(train) [188][ 120/1879] lr: 2.1964e-02 eta: 18:29:19 time: 0.4918 data_time: 0.0385 memory: 18104 grad_norm: 4.6166 loss: 3.0609 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.7302 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.3307 2023/02/02 16:52:06 - mmengine - INFO - Epoch(train) [188][ 140/1879] lr: 2.1958e-02 eta: 18:29:09 time: 0.5181 data_time: 0.0383 memory: 18104 grad_norm: 4.7448 loss: 3.3066 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.9434 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.3633 2023/02/02 16:52:16 - mmengine - INFO - Epoch(train) [188][ 160/1879] lr: 2.1952e-02 eta: 18:28:57 time: 0.5012 data_time: 0.0388 memory: 18104 grad_norm: 4.7877 loss: 3.2721 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.9122 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.3599 2023/02/02 16:52:26 - mmengine - INFO - Epoch(train) [188][ 180/1879] lr: 2.1945e-02 eta: 18:28:46 time: 0.4976 data_time: 0.0293 memory: 18104 grad_norm: 4.6316 loss: 3.3077 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0088 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.2989 2023/02/02 16:52:36 - mmengine - INFO - Epoch(train) [188][ 200/1879] lr: 2.1939e-02 eta: 18:28:36 time: 0.5175 data_time: 0.0449 memory: 18104 grad_norm: 4.6622 loss: 3.2398 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9434 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.2964 2023/02/02 16:52:46 - mmengine - INFO - Epoch(train) [188][ 220/1879] lr: 2.1933e-02 eta: 18:28:25 time: 0.5078 data_time: 0.0293 memory: 18104 grad_norm: 4.6116 loss: 2.9839 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7160 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.2679 2023/02/02 16:52:56 - mmengine - INFO - Epoch(train) [188][ 240/1879] lr: 2.1927e-02 eta: 18:28:13 time: 0.4932 data_time: 0.0377 memory: 18104 grad_norm: 4.6316 loss: 3.2005 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.8491 top1_acc_1: 0.6235 top5_acc_1: 0.9059 loss_cls_1: 1.3514 2023/02/02 16:53:06 - mmengine - INFO - Epoch(train) [188][ 260/1879] lr: 2.1921e-02 eta: 18:28:02 time: 0.5077 data_time: 0.0377 memory: 18104 grad_norm: 4.7207 loss: 3.2562 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9195 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.3367 2023/02/02 16:53:17 - mmengine - INFO - Epoch(train) [188][ 280/1879] lr: 2.1914e-02 eta: 18:27:51 time: 0.5030 data_time: 0.0391 memory: 18104 grad_norm: 4.7769 loss: 3.2582 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.9220 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.3361 2023/02/02 16:53:27 - mmengine - INFO - Epoch(train) [188][ 300/1879] lr: 2.1908e-02 eta: 18:27:39 time: 0.5001 data_time: 0.0311 memory: 18104 grad_norm: 4.7245 loss: 3.3294 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9683 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.3611 2023/02/02 16:53:37 - mmengine - INFO - Epoch(train) [188][ 320/1879] lr: 2.1902e-02 eta: 18:27:28 time: 0.5000 data_time: 0.0385 memory: 18104 grad_norm: 4.7784 loss: 3.3551 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0643 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.2908 2023/02/02 16:53:47 - mmengine - INFO - Epoch(train) [188][ 340/1879] lr: 2.1896e-02 eta: 18:27:17 time: 0.5081 data_time: 0.0310 memory: 18104 grad_norm: 4.7036 loss: 3.3168 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 1.9275 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.3892 2023/02/02 16:53:57 - mmengine - INFO - Epoch(train) [188][ 360/1879] lr: 2.1889e-02 eta: 18:27:05 time: 0.4960 data_time: 0.0371 memory: 18104 grad_norm: 4.6956 loss: 3.0113 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.7344 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2769 2023/02/02 16:54:07 - mmengine - INFO - Epoch(train) [188][ 380/1879] lr: 2.1883e-02 eta: 18:26:54 time: 0.5048 data_time: 0.0294 memory: 18104 grad_norm: 4.7448 loss: 3.5838 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1695 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.4143 2023/02/02 16:54:17 - mmengine - INFO - Epoch(train) [188][ 400/1879] lr: 2.1877e-02 eta: 18:26:44 time: 0.5157 data_time: 0.0447 memory: 18104 grad_norm: 4.7130 loss: 3.0982 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7751 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.3231 2023/02/02 16:54:27 - mmengine - INFO - Epoch(train) [188][ 420/1879] lr: 2.1871e-02 eta: 18:26:31 time: 0.4921 data_time: 0.0295 memory: 18104 grad_norm: 4.6358 loss: 3.3054 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9708 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.3347 2023/02/02 16:54:37 - mmengine - INFO - Epoch(train) [188][ 440/1879] lr: 2.1864e-02 eta: 18:26:22 time: 0.5212 data_time: 0.0381 memory: 18104 grad_norm: 4.7204 loss: 3.3598 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.9687 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.3911 2023/02/02 16:54:48 - mmengine - INFO - Epoch(train) [188][ 460/1879] lr: 2.1858e-02 eta: 18:26:12 time: 0.5190 data_time: 0.0323 memory: 18104 grad_norm: 4.8027 loss: 3.0940 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7636 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.3304 2023/02/02 16:54:58 - mmengine - INFO - Epoch(train) [188][ 480/1879] lr: 2.1852e-02 eta: 18:26:01 time: 0.5104 data_time: 0.0314 memory: 18104 grad_norm: 4.7361 loss: 3.4161 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.1522 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.2639 2023/02/02 16:55:08 - mmengine - INFO - Epoch(train) [188][ 500/1879] lr: 2.1846e-02 eta: 18:25:51 time: 0.5076 data_time: 0.0350 memory: 18104 grad_norm: 4.7881 loss: 3.1624 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8909 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2715 2023/02/02 16:55:19 - mmengine - INFO - Epoch(train) [188][ 520/1879] lr: 2.1840e-02 eta: 18:25:41 time: 0.5214 data_time: 0.0421 memory: 18104 grad_norm: 4.8108 loss: 3.4800 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 2.1654 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.3147 2023/02/02 16:55:29 - mmengine - INFO - Epoch(train) [188][ 540/1879] lr: 2.1833e-02 eta: 18:25:30 time: 0.5079 data_time: 0.0326 memory: 18104 grad_norm: 4.5972 loss: 3.3378 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9525 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.3853 2023/02/02 16:55:39 - mmengine - INFO - Epoch(train) [188][ 560/1879] lr: 2.1827e-02 eta: 18:25:20 time: 0.5095 data_time: 0.0330 memory: 18104 grad_norm: 4.6779 loss: 3.1572 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8193 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.3379 2023/02/02 16:55:49 - mmengine - INFO - Epoch(train) [188][ 580/1879] lr: 2.1821e-02 eta: 18:25:09 time: 0.5128 data_time: 0.0324 memory: 18104 grad_norm: 4.7300 loss: 3.0591 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.7678 top1_acc_1: 0.6824 top5_acc_1: 0.9294 loss_cls_1: 1.2913 2023/02/02 16:56:00 - mmengine - INFO - Epoch(train) [188][ 600/1879] lr: 2.1815e-02 eta: 18:24:59 time: 0.5165 data_time: 0.0337 memory: 18104 grad_norm: 4.8200 loss: 3.5792 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 2.1458 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.4334 2023/02/02 16:56:10 - mmengine - INFO - Epoch(train) [188][ 620/1879] lr: 2.1808e-02 eta: 18:24:49 time: 0.5092 data_time: 0.0325 memory: 18104 grad_norm: 4.6076 loss: 3.1778 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7277 top1_acc_1: 0.6941 top5_acc_1: 0.9412 loss_cls_1: 1.4501 2023/02/02 16:56:13 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 16:56:20 - mmengine - INFO - Epoch(train) [188][ 640/1879] lr: 2.1802e-02 eta: 18:24:38 time: 0.5165 data_time: 0.0338 memory: 18104 grad_norm: 4.7019 loss: 3.2929 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.8980 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.3949 2023/02/02 16:56:30 - mmengine - INFO - Epoch(train) [188][ 660/1879] lr: 2.1796e-02 eta: 18:24:28 time: 0.5108 data_time: 0.0419 memory: 18104 grad_norm: 4.7667 loss: 3.3309 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9872 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.3437 2023/02/02 16:56:41 - mmengine - INFO - Epoch(train) [188][ 680/1879] lr: 2.1790e-02 eta: 18:24:17 time: 0.5065 data_time: 0.0328 memory: 18104 grad_norm: 4.6249 loss: 3.3702 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9864 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.3838 2023/02/02 16:56:51 - mmengine - INFO - Epoch(train) [188][ 700/1879] lr: 2.1784e-02 eta: 18:24:06 time: 0.5066 data_time: 0.0340 memory: 18104 grad_norm: 4.6672 loss: 3.3200 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 1.9563 top1_acc_1: 0.6706 top5_acc_1: 0.8000 loss_cls_1: 1.3637 2023/02/02 16:57:01 - mmengine - INFO - Epoch(train) [188][ 720/1879] lr: 2.1777e-02 eta: 18:23:55 time: 0.5061 data_time: 0.0332 memory: 18104 grad_norm: 4.6948 loss: 3.4902 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0197 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.4706 2023/02/02 16:57:11 - mmengine - INFO - Epoch(train) [188][ 740/1879] lr: 2.1771e-02 eta: 18:23:46 time: 0.5226 data_time: 0.0376 memory: 18104 grad_norm: 4.6591 loss: 3.3824 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.9732 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.4092 2023/02/02 16:57:22 - mmengine - INFO - Epoch(train) [188][ 760/1879] lr: 2.1765e-02 eta: 18:23:35 time: 0.5075 data_time: 0.0347 memory: 18104 grad_norm: 4.6891 loss: 2.9704 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6771 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.2933 2023/02/02 16:57:32 - mmengine - INFO - Epoch(train) [188][ 780/1879] lr: 2.1759e-02 eta: 18:23:25 time: 0.5206 data_time: 0.0341 memory: 18104 grad_norm: 4.8152 loss: 3.3677 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0350 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.3326 2023/02/02 16:57:42 - mmengine - INFO - Epoch(train) [188][ 800/1879] lr: 2.1752e-02 eta: 18:23:15 time: 0.5146 data_time: 0.0382 memory: 18104 grad_norm: 4.7152 loss: 3.3014 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8918 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.4096 2023/02/02 16:57:52 - mmengine - INFO - Epoch(train) [188][ 820/1879] lr: 2.1746e-02 eta: 18:23:04 time: 0.5045 data_time: 0.0339 memory: 18104 grad_norm: 4.6685 loss: 3.1065 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8195 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.2871 2023/02/02 16:58:03 - mmengine - INFO - Epoch(train) [188][ 840/1879] lr: 2.1740e-02 eta: 18:22:54 time: 0.5136 data_time: 0.0329 memory: 18104 grad_norm: 4.6747 loss: 3.2155 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8227 top1_acc_1: 0.6118 top5_acc_1: 0.9059 loss_cls_1: 1.3928 2023/02/02 16:58:13 - mmengine - INFO - Epoch(train) [188][ 860/1879] lr: 2.1734e-02 eta: 18:22:43 time: 0.5144 data_time: 0.0346 memory: 18104 grad_norm: 4.7532 loss: 3.2454 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8921 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.3532 2023/02/02 16:58:23 - mmengine - INFO - Epoch(train) [188][ 880/1879] lr: 2.1728e-02 eta: 18:22:32 time: 0.5059 data_time: 0.0327 memory: 18104 grad_norm: 4.5856 loss: 3.2591 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9016 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.3575 2023/02/02 16:58:34 - mmengine - INFO - Epoch(train) [188][ 900/1879] lr: 2.1721e-02 eta: 18:22:22 time: 0.5164 data_time: 0.0341 memory: 18104 grad_norm: 4.6419 loss: 3.1239 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7495 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.3744 2023/02/02 16:58:44 - mmengine - INFO - Epoch(train) [188][ 920/1879] lr: 2.1715e-02 eta: 18:22:13 time: 0.5187 data_time: 0.0393 memory: 18104 grad_norm: 4.6714 loss: 3.2564 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9510 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.3054 2023/02/02 16:58:54 - mmengine - INFO - Epoch(train) [188][ 940/1879] lr: 2.1709e-02 eta: 18:22:02 time: 0.5119 data_time: 0.0345 memory: 18104 grad_norm: 4.6371 loss: 3.3188 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9534 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.3654 2023/02/02 16:59:04 - mmengine - INFO - Epoch(train) [188][ 960/1879] lr: 2.1703e-02 eta: 18:21:51 time: 0.5092 data_time: 0.0347 memory: 18104 grad_norm: 4.7050 loss: 3.2320 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8630 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.3690 2023/02/02 16:59:15 - mmengine - INFO - Epoch(train) [188][ 980/1879] lr: 2.1697e-02 eta: 18:21:41 time: 0.5148 data_time: 0.0364 memory: 18104 grad_norm: 4.7889 loss: 3.1569 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.7806 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.3763 2023/02/02 16:59:25 - mmengine - INFO - Epoch(train) [188][1000/1879] lr: 2.1690e-02 eta: 18:21:32 time: 0.5295 data_time: 0.0419 memory: 18104 grad_norm: 4.6615 loss: 3.1418 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8090 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.3328 2023/02/02 16:59:36 - mmengine - INFO - Epoch(train) [188][1020/1879] lr: 2.1684e-02 eta: 18:21:22 time: 0.5151 data_time: 0.0344 memory: 18104 grad_norm: 4.7735 loss: 3.6760 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 2.2140 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.4619 2023/02/02 16:59:46 - mmengine - INFO - Epoch(train) [188][1040/1879] lr: 2.1678e-02 eta: 18:21:11 time: 0.5060 data_time: 0.0364 memory: 18104 grad_norm: 4.6671 loss: 3.2041 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.9213 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.2828 2023/02/02 16:59:56 - mmengine - INFO - Epoch(train) [188][1060/1879] lr: 2.1672e-02 eta: 18:21:02 time: 0.5198 data_time: 0.0393 memory: 18104 grad_norm: 4.6629 loss: 3.2336 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.9329 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.3007 2023/02/02 17:00:07 - mmengine - INFO - Epoch(train) [188][1080/1879] lr: 2.1666e-02 eta: 18:20:52 time: 0.5221 data_time: 0.0347 memory: 18104 grad_norm: 4.5832 loss: 3.1551 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.8617 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.2934 2023/02/02 17:00:17 - mmengine - INFO - Epoch(train) [188][1100/1879] lr: 2.1659e-02 eta: 18:20:42 time: 0.5176 data_time: 0.0333 memory: 18104 grad_norm: 4.6892 loss: 3.1137 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7351 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.3786 2023/02/02 17:00:27 - mmengine - INFO - Epoch(train) [188][1120/1879] lr: 2.1653e-02 eta: 18:20:31 time: 0.5084 data_time: 0.0429 memory: 18104 grad_norm: 4.8097 loss: 3.3643 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.9528 top1_acc_1: 0.5765 top5_acc_1: 0.8471 loss_cls_1: 1.4115 2023/02/02 17:00:38 - mmengine - INFO - Epoch(train) [188][1140/1879] lr: 2.1647e-02 eta: 18:20:22 time: 0.5225 data_time: 0.0353 memory: 18104 grad_norm: 4.8143 loss: 3.3979 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 2.0152 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.3827 2023/02/02 17:00:48 - mmengine - INFO - Epoch(train) [188][1160/1879] lr: 2.1641e-02 eta: 18:20:11 time: 0.5059 data_time: 0.0310 memory: 18104 grad_norm: 4.7377 loss: 3.3227 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0030 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.3197 2023/02/02 17:00:58 - mmengine - INFO - Epoch(train) [188][1180/1879] lr: 2.1635e-02 eta: 18:20:01 time: 0.5148 data_time: 0.0333 memory: 18104 grad_norm: 4.7875 loss: 3.4378 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0093 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.4285 2023/02/02 17:01:08 - mmengine - INFO - Epoch(train) [188][1200/1879] lr: 2.1628e-02 eta: 18:19:50 time: 0.5046 data_time: 0.0309 memory: 18104 grad_norm: 4.7117 loss: 3.4320 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0483 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.3837 2023/02/02 17:01:19 - mmengine - INFO - Epoch(train) [188][1220/1879] lr: 2.1622e-02 eta: 18:19:40 time: 0.5276 data_time: 0.0347 memory: 18104 grad_norm: 4.6046 loss: 3.2968 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9652 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.3316 2023/02/02 17:01:29 - mmengine - INFO - Epoch(train) [188][1240/1879] lr: 2.1616e-02 eta: 18:19:30 time: 0.5110 data_time: 0.0340 memory: 18104 grad_norm: 4.7073 loss: 3.2492 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.8445 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.4048 2023/02/02 17:01:40 - mmengine - INFO - Epoch(train) [188][1260/1879] lr: 2.1610e-02 eta: 18:19:20 time: 0.5212 data_time: 0.0409 memory: 18104 grad_norm: 4.7745 loss: 3.3037 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.9797 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.3240 2023/02/02 17:01:50 - mmengine - INFO - Epoch(train) [188][1280/1879] lr: 2.1604e-02 eta: 18:19:09 time: 0.5071 data_time: 0.0324 memory: 18104 grad_norm: 4.8240 loss: 3.0995 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.7107 top1_acc_1: 0.6235 top5_acc_1: 0.7882 loss_cls_1: 1.3888 2023/02/02 17:02:00 - mmengine - INFO - Epoch(train) [188][1300/1879] lr: 2.1597e-02 eta: 18:19:00 time: 0.5229 data_time: 0.0376 memory: 18104 grad_norm: 4.6885 loss: 3.6154 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.2196 top1_acc_1: 0.7059 top5_acc_1: 0.8235 loss_cls_1: 1.3958 2023/02/02 17:02:10 - mmengine - INFO - Epoch(train) [188][1320/1879] lr: 2.1591e-02 eta: 18:18:50 time: 0.5146 data_time: 0.0395 memory: 18104 grad_norm: 4.7761 loss: 3.2162 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8902 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.3260 2023/02/02 17:02:21 - mmengine - INFO - Epoch(train) [188][1340/1879] lr: 2.1585e-02 eta: 18:18:41 time: 0.5287 data_time: 0.0364 memory: 18104 grad_norm: 4.6968 loss: 3.3283 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.9782 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.3501 2023/02/02 17:02:31 - mmengine - INFO - Epoch(train) [188][1360/1879] lr: 2.1579e-02 eta: 18:18:30 time: 0.5078 data_time: 0.0334 memory: 18104 grad_norm: 4.7846 loss: 3.1075 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6973 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.4102 2023/02/02 17:02:42 - mmengine - INFO - Epoch(train) [188][1380/1879] lr: 2.1573e-02 eta: 18:18:21 time: 0.5263 data_time: 0.0359 memory: 18104 grad_norm: 4.7334 loss: 3.1983 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8083 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.3901 2023/02/02 17:02:52 - mmengine - INFO - Epoch(train) [188][1400/1879] lr: 2.1566e-02 eta: 18:18:11 time: 0.5243 data_time: 0.0404 memory: 18104 grad_norm: 4.7263 loss: 3.2244 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9031 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.3212 2023/02/02 17:03:03 - mmengine - INFO - Epoch(train) [188][1420/1879] lr: 2.1560e-02 eta: 18:18:02 time: 0.5217 data_time: 0.0350 memory: 18104 grad_norm: 4.6898 loss: 3.3387 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9211 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.4176 2023/02/02 17:03:13 - mmengine - INFO - Epoch(train) [188][1440/1879] lr: 2.1554e-02 eta: 18:17:51 time: 0.5118 data_time: 0.0337 memory: 18104 grad_norm: 4.8154 loss: 3.2267 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.9181 top1_acc_1: 0.6824 top5_acc_1: 0.9294 loss_cls_1: 1.3086 2023/02/02 17:03:24 - mmengine - INFO - Epoch(train) [188][1460/1879] lr: 2.1548e-02 eta: 18:17:43 time: 0.5360 data_time: 0.0417 memory: 18104 grad_norm: 4.7230 loss: 3.1537 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8768 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.2770 2023/02/02 17:03:34 - mmengine - INFO - Epoch(train) [188][1480/1879] lr: 2.1542e-02 eta: 18:17:33 time: 0.5137 data_time: 0.0325 memory: 18104 grad_norm: 4.6897 loss: 3.3897 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0559 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.3338 2023/02/02 17:03:44 - mmengine - INFO - Epoch(train) [188][1500/1879] lr: 2.1535e-02 eta: 18:17:23 time: 0.5181 data_time: 0.0353 memory: 18104 grad_norm: 4.7011 loss: 3.1156 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8024 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.3131 2023/02/02 17:03:55 - mmengine - INFO - Epoch(train) [188][1520/1879] lr: 2.1529e-02 eta: 18:17:13 time: 0.5154 data_time: 0.0391 memory: 18104 grad_norm: 4.6830 loss: 3.3205 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.9742 top1_acc_1: 0.6824 top5_acc_1: 0.9294 loss_cls_1: 1.3462 2023/02/02 17:04:05 - mmengine - INFO - Epoch(train) [188][1540/1879] lr: 2.1523e-02 eta: 18:17:03 time: 0.5253 data_time: 0.0338 memory: 18104 grad_norm: 4.6877 loss: 3.1142 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7541 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.3601 2023/02/02 17:04:16 - mmengine - INFO - Epoch(train) [188][1560/1879] lr: 2.1517e-02 eta: 18:16:53 time: 0.5110 data_time: 0.0332 memory: 18104 grad_norm: 4.8300 loss: 3.3012 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9202 top1_acc_1: 0.6824 top5_acc_1: 0.8000 loss_cls_1: 1.3809 2023/02/02 17:04:26 - mmengine - INFO - Epoch(train) [188][1580/1879] lr: 2.1511e-02 eta: 18:16:42 time: 0.5055 data_time: 0.0351 memory: 18104 grad_norm: 4.6602 loss: 3.3163 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8399 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.4764 2023/02/02 17:04:36 - mmengine - INFO - Epoch(train) [188][1600/1879] lr: 2.1504e-02 eta: 18:16:32 time: 0.5190 data_time: 0.0396 memory: 18104 grad_norm: 4.7906 loss: 3.3997 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.0861 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.3135 2023/02/02 17:04:47 - mmengine - INFO - Epoch(train) [188][1620/1879] lr: 2.1498e-02 eta: 18:16:23 time: 0.5306 data_time: 0.0359 memory: 18104 grad_norm: 4.7563 loss: 3.0049 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6189 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.3859 2023/02/02 17:04:50 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 17:04:57 - mmengine - INFO - Epoch(train) [188][1640/1879] lr: 2.1492e-02 eta: 18:16:13 time: 0.5131 data_time: 0.0328 memory: 18104 grad_norm: 4.8240 loss: 3.2344 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9280 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.3064 2023/02/02 17:05:08 - mmengine - INFO - Epoch(train) [188][1660/1879] lr: 2.1486e-02 eta: 18:16:05 time: 0.5446 data_time: 0.0417 memory: 18104 grad_norm: 4.6937 loss: 3.2410 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.9737 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.2673 2023/02/02 17:05:18 - mmengine - INFO - Epoch(train) [188][1680/1879] lr: 2.1480e-02 eta: 18:15:55 time: 0.5162 data_time: 0.0345 memory: 18104 grad_norm: 4.8097 loss: 3.2153 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.7724 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.4429 2023/02/02 17:05:29 - mmengine - INFO - Epoch(train) [188][1700/1879] lr: 2.1473e-02 eta: 18:15:46 time: 0.5261 data_time: 0.0354 memory: 18104 grad_norm: 4.7289 loss: 3.4892 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0470 top1_acc_1: 0.6824 top5_acc_1: 0.8000 loss_cls_1: 1.4423 2023/02/02 17:05:39 - mmengine - INFO - Epoch(train) [188][1720/1879] lr: 2.1467e-02 eta: 18:15:37 time: 0.5329 data_time: 0.0400 memory: 18104 grad_norm: 4.6991 loss: 3.1329 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8102 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.3227 2023/02/02 17:05:50 - mmengine - INFO - Epoch(train) [188][1740/1879] lr: 2.1461e-02 eta: 18:15:28 time: 0.5258 data_time: 0.0354 memory: 18104 grad_norm: 4.7610 loss: 3.4056 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.0006 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.4050 2023/02/02 17:06:00 - mmengine - INFO - Epoch(train) [188][1760/1879] lr: 2.1455e-02 eta: 18:15:19 time: 0.5234 data_time: 0.0336 memory: 18104 grad_norm: 4.6384 loss: 3.2583 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9132 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.3451 2023/02/02 17:06:11 - mmengine - INFO - Epoch(train) [188][1780/1879] lr: 2.1449e-02 eta: 18:15:10 time: 0.5276 data_time: 0.0332 memory: 18104 grad_norm: 4.6344 loss: 3.2527 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8652 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.3875 2023/02/02 17:06:22 - mmengine - INFO - Epoch(train) [188][1800/1879] lr: 2.1443e-02 eta: 18:15:01 time: 0.5343 data_time: 0.0400 memory: 18104 grad_norm: 4.6738 loss: 3.2107 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8055 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.4052 2023/02/02 17:06:32 - mmengine - INFO - Epoch(train) [188][1820/1879] lr: 2.1436e-02 eta: 18:14:51 time: 0.5127 data_time: 0.0345 memory: 18104 grad_norm: 4.6721 loss: 3.0912 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.7191 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.3722 2023/02/02 17:06:42 - mmengine - INFO - Epoch(train) [188][1840/1879] lr: 2.1430e-02 eta: 18:14:40 time: 0.5087 data_time: 0.0333 memory: 18104 grad_norm: 4.6474 loss: 3.2441 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.7834 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.4607 2023/02/02 17:06:53 - mmengine - INFO - Epoch(train) [188][1860/1879] lr: 2.1424e-02 eta: 18:14:30 time: 0.5160 data_time: 0.0421 memory: 18104 grad_norm: 4.6927 loss: 3.2850 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8435 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.4415 2023/02/02 17:07:02 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 17:07:02 - mmengine - INFO - Epoch(train) [188][1879/1879] lr: 2.1418e-02 eta: 18:14:18 time: 0.4852 data_time: 0.0297 memory: 18104 grad_norm: 4.8306 loss: 3.4327 top1_acc_0: 0.4286 top5_acc_0: 0.8571 loss_cls_0: 2.0782 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.3545 2023/02/02 17:07:02 - mmengine - INFO - Saving checkpoint at 188 epochs 2023/02/02 17:07:13 - mmengine - INFO - Epoch(val) [188][ 20/155] eta: 0:01:01 time: 0.4582 data_time: 0.3454 memory: 1900 2023/02/02 17:07:22 - mmengine - INFO - Epoch(val) [188][ 40/155] eta: 0:00:51 time: 0.4410 data_time: 0.3286 memory: 1900 2023/02/02 17:07:31 - mmengine - INFO - Epoch(val) [188][ 60/155] eta: 0:00:41 time: 0.4252 data_time: 0.3138 memory: 1900 2023/02/02 17:07:40 - mmengine - INFO - Epoch(val) [188][ 80/155] eta: 0:00:33 time: 0.4575 data_time: 0.3465 memory: 1900 2023/02/02 17:07:49 - mmengine - INFO - Epoch(val) [188][100/155] eta: 0:00:24 time: 0.4466 data_time: 0.3336 memory: 1900 2023/02/02 17:07:58 - mmengine - INFO - Epoch(val) [188][120/155] eta: 0:00:15 time: 0.4663 data_time: 0.3551 memory: 1900 2023/02/02 17:08:07 - mmengine - INFO - Epoch(val) [188][140/155] eta: 0:00:06 time: 0.4375 data_time: 0.3257 memory: 1900 2023/02/02 17:08:14 - mmengine - INFO - Epoch(val) [188][155/155] acc/top1: 0.5820 acc/top5: 0.8140 acc/mean1: 0.5819 2023/02/02 17:08:29 - mmengine - INFO - Epoch(train) [189][ 20/1879] lr: 2.1412e-02 eta: 18:14:25 time: 0.7223 data_time: 0.2725 memory: 18104 grad_norm: 4.4513 loss: 3.1854 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8325 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.3529 2023/02/02 17:08:38 - mmengine - INFO - Epoch(train) [189][ 40/1879] lr: 2.1406e-02 eta: 18:14:12 time: 0.4736 data_time: 0.0316 memory: 18104 grad_norm: 4.6778 loss: 3.2508 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.9757 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.2751 2023/02/02 17:08:48 - mmengine - INFO - Epoch(train) [189][ 60/1879] lr: 2.1400e-02 eta: 18:13:59 time: 0.4831 data_time: 0.0359 memory: 18104 grad_norm: 4.6955 loss: 3.1586 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7882 top1_acc_1: 0.7412 top5_acc_1: 0.8471 loss_cls_1: 1.3704 2023/02/02 17:08:59 - mmengine - INFO - Epoch(train) [189][ 80/1879] lr: 2.1393e-02 eta: 18:13:50 time: 0.5332 data_time: 0.0320 memory: 18104 grad_norm: 4.6961 loss: 3.0870 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7557 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.3313 2023/02/02 17:09:09 - mmengine - INFO - Epoch(train) [189][ 100/1879] lr: 2.1387e-02 eta: 18:13:38 time: 0.4920 data_time: 0.0352 memory: 18104 grad_norm: 4.6619 loss: 3.0994 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7933 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.3061 2023/02/02 17:09:18 - mmengine - INFO - Epoch(train) [189][ 120/1879] lr: 2.1381e-02 eta: 18:13:25 time: 0.4867 data_time: 0.0341 memory: 18104 grad_norm: 4.8048 loss: 3.2018 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.8622 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.3395 2023/02/02 17:09:29 - mmengine - INFO - Epoch(train) [189][ 140/1879] lr: 2.1375e-02 eta: 18:13:16 time: 0.5225 data_time: 0.0449 memory: 18104 grad_norm: 4.6799 loss: 3.1022 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7747 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.3275 2023/02/02 17:09:39 - mmengine - INFO - Epoch(train) [189][ 160/1879] lr: 2.1369e-02 eta: 18:13:05 time: 0.5066 data_time: 0.0300 memory: 18104 grad_norm: 4.6344 loss: 3.1462 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7936 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.3526 2023/02/02 17:09:49 - mmengine - INFO - Epoch(train) [189][ 180/1879] lr: 2.1363e-02 eta: 18:12:53 time: 0.4973 data_time: 0.0389 memory: 18104 grad_norm: 4.6370 loss: 3.2172 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8645 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.3527 2023/02/02 17:09:59 - mmengine - INFO - Epoch(train) [189][ 200/1879] lr: 2.1356e-02 eta: 18:12:41 time: 0.4940 data_time: 0.0280 memory: 18104 grad_norm: 4.6800 loss: 3.2323 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9079 top1_acc_1: 0.7176 top5_acc_1: 0.9647 loss_cls_1: 1.3245 2023/02/02 17:10:09 - mmengine - INFO - Epoch(train) [189][ 220/1879] lr: 2.1350e-02 eta: 18:12:32 time: 0.5228 data_time: 0.0450 memory: 18104 grad_norm: 4.7206 loss: 3.2299 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8905 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.3394 2023/02/02 17:10:19 - mmengine - INFO - Epoch(train) [189][ 240/1879] lr: 2.1344e-02 eta: 18:12:20 time: 0.4910 data_time: 0.0308 memory: 18104 grad_norm: 4.7097 loss: 3.2387 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9094 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.3293 2023/02/02 17:10:29 - mmengine - INFO - Epoch(train) [189][ 260/1879] lr: 2.1338e-02 eta: 18:12:08 time: 0.4990 data_time: 0.0405 memory: 18104 grad_norm: 4.5811 loss: 3.3119 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9562 top1_acc_1: 0.5529 top5_acc_1: 0.8353 loss_cls_1: 1.3557 2023/02/02 17:10:40 - mmengine - INFO - Epoch(train) [189][ 280/1879] lr: 2.1332e-02 eta: 18:11:58 time: 0.5222 data_time: 0.0300 memory: 18104 grad_norm: 4.7800 loss: 3.2946 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.9878 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.3068 2023/02/02 17:10:50 - mmengine - INFO - Epoch(train) [189][ 300/1879] lr: 2.1326e-02 eta: 18:11:48 time: 0.5120 data_time: 0.0361 memory: 18104 grad_norm: 4.6430 loss: 3.2264 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8114 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.4150 2023/02/02 17:11:00 - mmengine - INFO - Epoch(train) [189][ 320/1879] lr: 2.1319e-02 eta: 18:11:36 time: 0.4886 data_time: 0.0312 memory: 18104 grad_norm: 4.7270 loss: 3.1125 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7763 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.3362 2023/02/02 17:11:10 - mmengine - INFO - Epoch(train) [189][ 340/1879] lr: 2.1313e-02 eta: 18:11:27 time: 0.5286 data_time: 0.0453 memory: 18104 grad_norm: 4.7197 loss: 3.1516 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8463 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.3053 2023/02/02 17:11:20 - mmengine - INFO - Epoch(train) [189][ 360/1879] lr: 2.1307e-02 eta: 18:11:15 time: 0.4948 data_time: 0.0285 memory: 18104 grad_norm: 4.7062 loss: 3.3128 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9247 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.3881 2023/02/02 17:11:30 - mmengine - INFO - Epoch(train) [189][ 380/1879] lr: 2.1301e-02 eta: 18:11:04 time: 0.5133 data_time: 0.0371 memory: 18104 grad_norm: 4.7040 loss: 3.0919 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.7847 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.3072 2023/02/02 17:11:41 - mmengine - INFO - Epoch(train) [189][ 400/1879] lr: 2.1295e-02 eta: 18:10:54 time: 0.5091 data_time: 0.0298 memory: 18104 grad_norm: 4.7447 loss: 3.1563 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 1.8165 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.3398 2023/02/02 17:11:51 - mmengine - INFO - Epoch(train) [189][ 420/1879] lr: 2.1289e-02 eta: 18:10:43 time: 0.5080 data_time: 0.0443 memory: 18104 grad_norm: 4.8300 loss: 3.3072 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.9701 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.3372 2023/02/02 17:12:01 - mmengine - INFO - Epoch(train) [189][ 440/1879] lr: 2.1282e-02 eta: 18:10:30 time: 0.4863 data_time: 0.0294 memory: 18104 grad_norm: 4.8039 loss: 3.2265 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.9186 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.3079 2023/02/02 17:12:11 - mmengine - INFO - Epoch(train) [189][ 460/1879] lr: 2.1276e-02 eta: 18:10:21 time: 0.5249 data_time: 0.0376 memory: 18104 grad_norm: 4.7930 loss: 3.1709 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8436 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.3272 2023/02/02 17:12:21 - mmengine - INFO - Epoch(train) [189][ 480/1879] lr: 2.1270e-02 eta: 18:10:10 time: 0.5054 data_time: 0.0346 memory: 18104 grad_norm: 4.7086 loss: 3.4725 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.0884 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.3841 2023/02/02 17:12:32 - mmengine - INFO - Epoch(train) [189][ 500/1879] lr: 2.1264e-02 eta: 18:10:00 time: 0.5136 data_time: 0.0364 memory: 18104 grad_norm: 4.7252 loss: 3.0067 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.6541 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.3526 2023/02/02 17:12:42 - mmengine - INFO - Epoch(train) [189][ 520/1879] lr: 2.1258e-02 eta: 18:09:48 time: 0.4989 data_time: 0.0308 memory: 18104 grad_norm: 4.7691 loss: 3.4015 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0873 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.3142 2023/02/02 17:12:52 - mmengine - INFO - Epoch(train) [189][ 540/1879] lr: 2.1252e-02 eta: 18:09:40 time: 0.5341 data_time: 0.0460 memory: 18104 grad_norm: 4.6770 loss: 3.1954 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8797 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.3157 2023/02/02 17:13:02 - mmengine - INFO - Epoch(train) [189][ 560/1879] lr: 2.1245e-02 eta: 18:09:28 time: 0.4997 data_time: 0.0309 memory: 18104 grad_norm: 4.7653 loss: 3.2987 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8669 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.4318 2023/02/02 17:13:13 - mmengine - INFO - Epoch(train) [189][ 580/1879] lr: 2.1239e-02 eta: 18:09:18 time: 0.5178 data_time: 0.0394 memory: 18104 grad_norm: 4.8066 loss: 3.0658 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.7745 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.2913 2023/02/02 17:13:23 - mmengine - INFO - Epoch(train) [189][ 600/1879] lr: 2.1233e-02 eta: 18:09:09 time: 0.5241 data_time: 0.0304 memory: 18104 grad_norm: 4.7946 loss: 3.4362 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.0428 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.3934 2023/02/02 17:13:33 - mmengine - INFO - Epoch(train) [189][ 620/1879] lr: 2.1227e-02 eta: 18:08:58 time: 0.5137 data_time: 0.0444 memory: 18104 grad_norm: 4.8035 loss: 3.2163 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8803 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.3360 2023/02/02 17:13:44 - mmengine - INFO - Epoch(train) [189][ 640/1879] lr: 2.1221e-02 eta: 18:08:47 time: 0.5048 data_time: 0.0311 memory: 18104 grad_norm: 4.7674 loss: 3.5184 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.1547 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.3636 2023/02/02 17:13:54 - mmengine - INFO - Epoch(train) [189][ 660/1879] lr: 2.1215e-02 eta: 18:08:38 time: 0.5266 data_time: 0.0385 memory: 18104 grad_norm: 4.6952 loss: 3.2211 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8862 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.3349 2023/02/02 17:14:05 - mmengine - INFO - Epoch(train) [189][ 680/1879] lr: 2.1208e-02 eta: 18:08:29 time: 0.5258 data_time: 0.0300 memory: 18104 grad_norm: 4.7377 loss: 3.1063 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7426 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.3637 2023/02/02 17:14:15 - mmengine - INFO - Epoch(train) [189][ 700/1879] lr: 2.1202e-02 eta: 18:08:19 time: 0.5203 data_time: 0.0395 memory: 18104 grad_norm: 4.8096 loss: 3.2232 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9131 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.3100 2023/02/02 17:14:25 - mmengine - INFO - Epoch(train) [189][ 720/1879] lr: 2.1196e-02 eta: 18:08:08 time: 0.5080 data_time: 0.0317 memory: 18104 grad_norm: 4.7042 loss: 3.5419 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1435 top1_acc_1: 0.6706 top5_acc_1: 0.8000 loss_cls_1: 1.3984 2023/02/02 17:14:36 - mmengine - INFO - Epoch(train) [189][ 740/1879] lr: 2.1190e-02 eta: 18:08:00 time: 0.5354 data_time: 0.0449 memory: 18104 grad_norm: 4.7658 loss: 3.2364 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.8197 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4167 2023/02/02 17:14:40 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 17:14:46 - mmengine - INFO - Epoch(train) [189][ 760/1879] lr: 2.1184e-02 eta: 18:07:48 time: 0.4935 data_time: 0.0294 memory: 18104 grad_norm: 4.6517 loss: 3.3336 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.0604 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.2732 2023/02/02 17:14:56 - mmengine - INFO - Epoch(train) [189][ 780/1879] lr: 2.1178e-02 eta: 18:07:38 time: 0.5155 data_time: 0.0374 memory: 18104 grad_norm: 4.8264 loss: 3.3448 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9927 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.3522 2023/02/02 17:15:06 - mmengine - INFO - Epoch(train) [189][ 800/1879] lr: 2.1172e-02 eta: 18:07:27 time: 0.5062 data_time: 0.0307 memory: 18104 grad_norm: 4.7261 loss: 3.1873 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7908 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.3965 2023/02/02 17:15:17 - mmengine - INFO - Epoch(train) [189][ 820/1879] lr: 2.1165e-02 eta: 18:07:17 time: 0.5228 data_time: 0.0460 memory: 18104 grad_norm: 4.8097 loss: 3.2809 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.9445 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.3364 2023/02/02 17:15:27 - mmengine - INFO - Epoch(train) [189][ 840/1879] lr: 2.1159e-02 eta: 18:07:06 time: 0.5003 data_time: 0.0323 memory: 18104 grad_norm: 4.8263 loss: 3.1400 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7560 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.3840 2023/02/02 17:15:37 - mmengine - INFO - Epoch(train) [189][ 860/1879] lr: 2.1153e-02 eta: 18:06:55 time: 0.5091 data_time: 0.0388 memory: 18104 grad_norm: 4.6222 loss: 3.2841 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.9017 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.3824 2023/02/02 17:15:48 - mmengine - INFO - Epoch(train) [189][ 880/1879] lr: 2.1147e-02 eta: 18:06:46 time: 0.5275 data_time: 0.0376 memory: 18104 grad_norm: 4.7557 loss: 3.2734 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0040 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.2694 2023/02/02 17:15:58 - mmengine - INFO - Epoch(train) [189][ 900/1879] lr: 2.1141e-02 eta: 18:06:35 time: 0.5043 data_time: 0.0382 memory: 18104 grad_norm: 4.6605 loss: 2.9688 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7402 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.2286 2023/02/02 17:16:08 - mmengine - INFO - Epoch(train) [189][ 920/1879] lr: 2.1135e-02 eta: 18:06:24 time: 0.5044 data_time: 0.0302 memory: 18104 grad_norm: 4.7307 loss: 3.0518 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6757 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.3761 2023/02/02 17:16:18 - mmengine - INFO - Epoch(train) [189][ 940/1879] lr: 2.1128e-02 eta: 18:06:14 time: 0.5174 data_time: 0.0358 memory: 18104 grad_norm: 4.7806 loss: 3.3070 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8584 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.4486 2023/02/02 17:16:28 - mmengine - INFO - Epoch(train) [189][ 960/1879] lr: 2.1122e-02 eta: 18:06:02 time: 0.4980 data_time: 0.0326 memory: 18104 grad_norm: 4.8157 loss: 3.0667 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7225 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.3442 2023/02/02 17:16:38 - mmengine - INFO - Epoch(train) [189][ 980/1879] lr: 2.1116e-02 eta: 18:05:52 time: 0.5088 data_time: 0.0343 memory: 18104 grad_norm: 4.9089 loss: 3.3981 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0990 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.2992 2023/02/02 17:16:48 - mmengine - INFO - Epoch(train) [189][1000/1879] lr: 2.1110e-02 eta: 18:05:40 time: 0.5010 data_time: 0.0335 memory: 18104 grad_norm: 4.6927 loss: 3.2462 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9221 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.3242 2023/02/02 17:16:59 - mmengine - INFO - Epoch(train) [189][1020/1879] lr: 2.1104e-02 eta: 18:05:31 time: 0.5293 data_time: 0.0399 memory: 18104 grad_norm: 4.8286 loss: 3.0736 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.7239 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.3497 2023/02/02 17:17:09 - mmengine - INFO - Epoch(train) [189][1040/1879] lr: 2.1098e-02 eta: 18:05:21 time: 0.5103 data_time: 0.0336 memory: 18104 grad_norm: 4.7552 loss: 3.2387 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8193 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.4194 2023/02/02 17:17:20 - mmengine - INFO - Epoch(train) [189][1060/1879] lr: 2.1092e-02 eta: 18:05:11 time: 0.5153 data_time: 0.0365 memory: 18104 grad_norm: 4.8683 loss: 3.2743 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9435 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.3308 2023/02/02 17:17:30 - mmengine - INFO - Epoch(train) [189][1080/1879] lr: 2.1085e-02 eta: 18:05:00 time: 0.5140 data_time: 0.0331 memory: 18104 grad_norm: 4.8081 loss: 3.2636 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9162 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 1.3473 2023/02/02 17:17:40 - mmengine - INFO - Epoch(train) [189][1100/1879] lr: 2.1079e-02 eta: 18:04:50 time: 0.5181 data_time: 0.0405 memory: 18104 grad_norm: 4.7145 loss: 3.1962 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8169 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.3793 2023/02/02 17:17:50 - mmengine - INFO - Epoch(train) [189][1120/1879] lr: 2.1073e-02 eta: 18:04:39 time: 0.5012 data_time: 0.0324 memory: 18104 grad_norm: 4.8284 loss: 3.3308 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9735 top1_acc_1: 0.5882 top5_acc_1: 0.8000 loss_cls_1: 1.3573 2023/02/02 17:18:01 - mmengine - INFO - Epoch(train) [189][1140/1879] lr: 2.1067e-02 eta: 18:04:30 time: 0.5251 data_time: 0.0351 memory: 18104 grad_norm: 4.7112 loss: 3.3675 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.0545 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.3130 2023/02/02 17:18:11 - mmengine - INFO - Epoch(train) [189][1160/1879] lr: 2.1061e-02 eta: 18:04:19 time: 0.5133 data_time: 0.0412 memory: 18104 grad_norm: 4.6642 loss: 3.3456 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 2.0247 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.3208 2023/02/02 17:18:21 - mmengine - INFO - Epoch(train) [189][1180/1879] lr: 2.1055e-02 eta: 18:04:09 time: 0.5143 data_time: 0.0350 memory: 18104 grad_norm: 4.7125 loss: 3.2542 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.9444 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.3098 2023/02/02 17:18:31 - mmengine - INFO - Epoch(train) [189][1200/1879] lr: 2.1049e-02 eta: 18:03:58 time: 0.5011 data_time: 0.0318 memory: 18104 grad_norm: 4.8043 loss: 3.6486 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.2220 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.4266 2023/02/02 17:18:42 - mmengine - INFO - Epoch(train) [189][1220/1879] lr: 2.1042e-02 eta: 18:03:48 time: 0.5215 data_time: 0.0348 memory: 18104 grad_norm: 4.7960 loss: 3.3583 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 2.0281 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.3302 2023/02/02 17:18:52 - mmengine - INFO - Epoch(train) [189][1240/1879] lr: 2.1036e-02 eta: 18:03:37 time: 0.5028 data_time: 0.0388 memory: 18104 grad_norm: 4.7819 loss: 3.2614 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.8527 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.4087 2023/02/02 17:19:03 - mmengine - INFO - Epoch(train) [189][1260/1879] lr: 2.1030e-02 eta: 18:03:28 time: 0.5289 data_time: 0.0335 memory: 18104 grad_norm: 4.8785 loss: 3.1792 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8405 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.3386 2023/02/02 17:19:13 - mmengine - INFO - Epoch(train) [189][1280/1879] lr: 2.1024e-02 eta: 18:03:18 time: 0.5211 data_time: 0.0325 memory: 18104 grad_norm: 4.7811 loss: 3.3647 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 2.0081 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.3566 2023/02/02 17:19:24 - mmengine - INFO - Epoch(train) [189][1300/1879] lr: 2.1018e-02 eta: 18:03:09 time: 0.5290 data_time: 0.0344 memory: 18104 grad_norm: 4.6074 loss: 3.1716 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8062 top1_acc_1: 0.5529 top5_acc_1: 0.8000 loss_cls_1: 1.3654 2023/02/02 17:19:34 - mmengine - INFO - Epoch(train) [189][1320/1879] lr: 2.1012e-02 eta: 18:03:00 time: 0.5213 data_time: 0.0419 memory: 18104 grad_norm: 4.8563 loss: 3.3116 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9638 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.3478 2023/02/02 17:19:45 - mmengine - INFO - Epoch(train) [189][1340/1879] lr: 2.1006e-02 eta: 18:02:50 time: 0.5262 data_time: 0.0343 memory: 18104 grad_norm: 4.8050 loss: 3.2274 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.8514 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.3760 2023/02/02 17:19:55 - mmengine - INFO - Epoch(train) [189][1360/1879] lr: 2.0999e-02 eta: 18:02:42 time: 0.5374 data_time: 0.0325 memory: 18104 grad_norm: 4.8620 loss: 3.2859 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8628 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.4231 2023/02/02 17:20:06 - mmengine - INFO - Epoch(train) [189][1380/1879] lr: 2.0993e-02 eta: 18:02:33 time: 0.5264 data_time: 0.0415 memory: 18104 grad_norm: 4.8157 loss: 3.1748 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7737 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.4011 2023/02/02 17:20:16 - mmengine - INFO - Epoch(train) [189][1400/1879] lr: 2.0987e-02 eta: 18:02:22 time: 0.5146 data_time: 0.0316 memory: 18104 grad_norm: 4.9501 loss: 3.0362 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7698 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.2664 2023/02/02 17:20:27 - mmengine - INFO - Epoch(train) [189][1420/1879] lr: 2.0981e-02 eta: 18:02:12 time: 0.5176 data_time: 0.0391 memory: 18104 grad_norm: 4.7322 loss: 3.3555 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0378 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.3177 2023/02/02 17:20:37 - mmengine - INFO - Epoch(train) [189][1440/1879] lr: 2.0975e-02 eta: 18:02:03 time: 0.5207 data_time: 0.0378 memory: 18104 grad_norm: 4.8483 loss: 3.1570 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8702 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.2868 2023/02/02 17:20:48 - mmengine - INFO - Epoch(train) [189][1460/1879] lr: 2.0969e-02 eta: 18:01:53 time: 0.5258 data_time: 0.0389 memory: 18104 grad_norm: 4.8623 loss: 3.3917 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0723 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.3194 2023/02/02 17:20:58 - mmengine - INFO - Epoch(train) [189][1480/1879] lr: 2.0963e-02 eta: 18:01:43 time: 0.5131 data_time: 0.0297 memory: 18104 grad_norm: 4.8009 loss: 3.3830 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.1037 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.2793 2023/02/02 17:21:08 - mmengine - INFO - Epoch(train) [189][1500/1879] lr: 2.0957e-02 eta: 18:01:34 time: 0.5232 data_time: 0.0369 memory: 18104 grad_norm: 4.6896 loss: 3.3715 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8781 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.4934 2023/02/02 17:21:19 - mmengine - INFO - Epoch(train) [189][1520/1879] lr: 2.0950e-02 eta: 18:01:25 time: 0.5304 data_time: 0.0304 memory: 18104 grad_norm: 4.6950 loss: 3.1636 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8308 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.3329 2023/02/02 17:21:30 - mmengine - INFO - Epoch(train) [189][1540/1879] lr: 2.0944e-02 eta: 18:01:16 time: 0.5295 data_time: 0.0392 memory: 18104 grad_norm: 4.6852 loss: 3.3678 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9866 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.3813 2023/02/02 17:21:41 - mmengine - INFO - Epoch(train) [189][1560/1879] lr: 2.0938e-02 eta: 18:01:09 time: 0.5582 data_time: 0.0319 memory: 18104 grad_norm: 4.9010 loss: 3.0797 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6936 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.3861 2023/02/02 17:21:52 - mmengine - INFO - Epoch(train) [189][1580/1879] lr: 2.0932e-02 eta: 18:01:01 time: 0.5479 data_time: 0.0359 memory: 18104 grad_norm: 4.8823 loss: 3.2498 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 1.9588 top1_acc_1: 0.6588 top5_acc_1: 0.9176 loss_cls_1: 1.2910 2023/02/02 17:22:02 - mmengine - INFO - Epoch(train) [189][1600/1879] lr: 2.0926e-02 eta: 18:00:51 time: 0.5207 data_time: 0.0312 memory: 18104 grad_norm: 4.9165 loss: 3.1312 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7304 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.4008 2023/02/02 17:22:13 - mmengine - INFO - Epoch(train) [189][1620/1879] lr: 2.0920e-02 eta: 18:00:43 time: 0.5420 data_time: 0.0364 memory: 18104 grad_norm: 4.6814 loss: 3.2838 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.8444 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.4394 2023/02/02 17:22:24 - mmengine - INFO - Epoch(train) [189][1640/1879] lr: 2.0914e-02 eta: 18:00:37 time: 0.5593 data_time: 0.0375 memory: 18104 grad_norm: 4.8858 loss: 3.2560 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9406 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.3153 2023/02/02 17:22:35 - mmengine - INFO - Epoch(train) [189][1660/1879] lr: 2.0908e-02 eta: 18:00:29 time: 0.5519 data_time: 0.0372 memory: 18104 grad_norm: 4.7715 loss: 3.3808 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9542 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.4266 2023/02/02 17:22:46 - mmengine - INFO - Epoch(train) [189][1680/1879] lr: 2.0901e-02 eta: 18:00:20 time: 0.5240 data_time: 0.0288 memory: 18104 grad_norm: 4.6522 loss: 3.2905 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9666 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.3240 2023/02/02 17:22:57 - mmengine - INFO - Epoch(train) [189][1700/1879] lr: 2.0895e-02 eta: 18:00:12 time: 0.5473 data_time: 0.0444 memory: 18104 grad_norm: 4.7185 loss: 3.2600 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8928 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.3672 2023/02/02 17:23:08 - mmengine - INFO - Epoch(train) [189][1720/1879] lr: 2.0889e-02 eta: 18:00:04 time: 0.5423 data_time: 0.0292 memory: 18104 grad_norm: 4.7574 loss: 3.4149 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 2.0886 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.3263 2023/02/02 17:23:18 - mmengine - INFO - Epoch(train) [189][1740/1879] lr: 2.0883e-02 eta: 17:59:55 time: 0.5253 data_time: 0.0381 memory: 18104 grad_norm: 4.7316 loss: 3.1690 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7927 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.3763 2023/02/02 17:23:22 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 17:23:29 - mmengine - INFO - Epoch(train) [189][1760/1879] lr: 2.0877e-02 eta: 17:59:45 time: 0.5197 data_time: 0.0287 memory: 18104 grad_norm: 4.7463 loss: 3.0933 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.7924 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.3008 2023/02/02 17:23:40 - mmengine - INFO - Epoch(train) [189][1780/1879] lr: 2.0871e-02 eta: 17:59:38 time: 0.5603 data_time: 0.0445 memory: 18104 grad_norm: 4.8191 loss: 3.1842 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8102 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.3740 2023/02/02 17:23:50 - mmengine - INFO - Epoch(train) [189][1800/1879] lr: 2.0865e-02 eta: 17:59:28 time: 0.5174 data_time: 0.0290 memory: 18104 grad_norm: 4.7345 loss: 3.1669 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8445 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.3224 2023/02/02 17:24:01 - mmengine - INFO - Epoch(train) [189][1820/1879] lr: 2.0859e-02 eta: 17:59:19 time: 0.5199 data_time: 0.0365 memory: 18104 grad_norm: 4.6885 loss: 3.2566 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9352 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.3215 2023/02/02 17:24:12 - mmengine - INFO - Epoch(train) [189][1840/1879] lr: 2.0852e-02 eta: 17:59:12 time: 0.5580 data_time: 0.0369 memory: 18104 grad_norm: 4.8670 loss: 3.3271 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9263 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.4008 2023/02/02 17:24:22 - mmengine - INFO - Epoch(train) [189][1860/1879] lr: 2.0846e-02 eta: 17:59:02 time: 0.5170 data_time: 0.0355 memory: 18104 grad_norm: 4.8603 loss: 3.3815 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.9632 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.4183 2023/02/02 17:24:31 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 17:24:31 - mmengine - INFO - Epoch(train) [189][1879/1879] lr: 2.0840e-02 eta: 17:58:50 time: 0.4918 data_time: 0.0333 memory: 18104 grad_norm: 4.9005 loss: 3.5495 top1_acc_0: 0.4286 top5_acc_0: 0.4286 loss_cls_0: 2.2539 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.2956 2023/02/02 17:24:47 - mmengine - INFO - Epoch(train) [190][ 20/1879] lr: 2.0834e-02 eta: 17:58:56 time: 0.7236 data_time: 0.2701 memory: 18104 grad_norm: 4.8311 loss: 3.3221 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.8858 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.4363 2023/02/02 17:24:56 - mmengine - INFO - Epoch(train) [190][ 40/1879] lr: 2.0828e-02 eta: 17:58:42 time: 0.4695 data_time: 0.0335 memory: 18104 grad_norm: 4.6159 loss: 3.1434 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.7973 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.3461 2023/02/02 17:25:06 - mmengine - INFO - Epoch(train) [190][ 60/1879] lr: 2.0822e-02 eta: 17:58:30 time: 0.4840 data_time: 0.0357 memory: 18104 grad_norm: 4.6523 loss: 3.1093 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7477 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.3616 2023/02/02 17:25:16 - mmengine - INFO - Epoch(train) [190][ 80/1879] lr: 2.0816e-02 eta: 17:58:19 time: 0.5070 data_time: 0.0415 memory: 18104 grad_norm: 4.6884 loss: 3.3061 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9898 top1_acc_1: 0.7765 top5_acc_1: 0.8588 loss_cls_1: 1.3163 2023/02/02 17:25:25 - mmengine - INFO - Epoch(train) [190][ 100/1879] lr: 2.0810e-02 eta: 17:58:06 time: 0.4781 data_time: 0.0383 memory: 18104 grad_norm: 4.7468 loss: 3.1849 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.8028 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.3822 2023/02/02 17:25:35 - mmengine - INFO - Epoch(train) [190][ 120/1879] lr: 2.0804e-02 eta: 17:57:53 time: 0.4781 data_time: 0.0327 memory: 18104 grad_norm: 4.8461 loss: 3.2980 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.8956 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.4025 2023/02/02 17:25:45 - mmengine - INFO - Epoch(train) [190][ 140/1879] lr: 2.0798e-02 eta: 17:57:43 time: 0.5233 data_time: 0.0462 memory: 18104 grad_norm: 4.6904 loss: 3.2268 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.8567 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.3701 2023/02/02 17:25:56 - mmengine - INFO - Epoch(train) [190][ 160/1879] lr: 2.0792e-02 eta: 17:57:32 time: 0.5050 data_time: 0.0311 memory: 18104 grad_norm: 4.8514 loss: 3.2763 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.8389 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.4374 2023/02/02 17:26:05 - mmengine - INFO - Epoch(train) [190][ 180/1879] lr: 2.0785e-02 eta: 17:57:20 time: 0.4920 data_time: 0.0358 memory: 18104 grad_norm: 4.7230 loss: 3.2594 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.9115 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.3479 2023/02/02 17:26:16 - mmengine - INFO - Epoch(train) [190][ 200/1879] lr: 2.0779e-02 eta: 17:57:10 time: 0.5127 data_time: 0.0350 memory: 18104 grad_norm: 4.6823 loss: 3.2484 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8445 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.4040 2023/02/02 17:26:26 - mmengine - INFO - Epoch(train) [190][ 220/1879] lr: 2.0773e-02 eta: 17:57:00 time: 0.5288 data_time: 0.0375 memory: 18104 grad_norm: 4.7138 loss: 3.2642 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.9063 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.3579 2023/02/02 17:26:37 - mmengine - INFO - Epoch(train) [190][ 240/1879] lr: 2.0767e-02 eta: 17:56:50 time: 0.5065 data_time: 0.0355 memory: 18104 grad_norm: 4.8093 loss: 3.2297 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.9410 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.2887 2023/02/02 17:26:47 - mmengine - INFO - Epoch(train) [190][ 260/1879] lr: 2.0761e-02 eta: 17:56:38 time: 0.5018 data_time: 0.0303 memory: 18104 grad_norm: 4.8030 loss: 3.3353 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0297 top1_acc_1: 0.5647 top5_acc_1: 0.8471 loss_cls_1: 1.3057 2023/02/02 17:26:57 - mmengine - INFO - Epoch(train) [190][ 280/1879] lr: 2.0755e-02 eta: 17:56:29 time: 0.5304 data_time: 0.0439 memory: 18104 grad_norm: 4.8352 loss: 3.0450 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7549 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.2901 2023/02/02 17:27:08 - mmengine - INFO - Epoch(train) [190][ 300/1879] lr: 2.0749e-02 eta: 17:56:19 time: 0.5166 data_time: 0.0309 memory: 18104 grad_norm: 4.7327 loss: 3.1488 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8203 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.3286 2023/02/02 17:27:18 - mmengine - INFO - Epoch(train) [190][ 320/1879] lr: 2.0743e-02 eta: 17:56:09 time: 0.5098 data_time: 0.0367 memory: 18104 grad_norm: 4.8967 loss: 3.3190 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.9186 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.4003 2023/02/02 17:27:28 - mmengine - INFO - Epoch(train) [190][ 340/1879] lr: 2.0737e-02 eta: 17:56:00 time: 0.5320 data_time: 0.0302 memory: 18104 grad_norm: 4.7629 loss: 3.2423 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.8956 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.3466 2023/02/02 17:27:39 - mmengine - INFO - Epoch(train) [190][ 360/1879] lr: 2.0730e-02 eta: 17:55:50 time: 0.5163 data_time: 0.0370 memory: 18104 grad_norm: 4.6917 loss: 3.2150 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8431 top1_acc_1: 0.6706 top5_acc_1: 0.9294 loss_cls_1: 1.3718 2023/02/02 17:27:49 - mmengine - INFO - Epoch(train) [190][ 380/1879] lr: 2.0724e-02 eta: 17:55:40 time: 0.5214 data_time: 0.0319 memory: 18104 grad_norm: 4.6972 loss: 3.2494 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9538 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.2957 2023/02/02 17:28:00 - mmengine - INFO - Epoch(train) [190][ 400/1879] lr: 2.0718e-02 eta: 17:55:31 time: 0.5296 data_time: 0.0384 memory: 18104 grad_norm: 4.7117 loss: 3.1671 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.8642 top1_acc_1: 0.5529 top5_acc_1: 0.8588 loss_cls_1: 1.3029 2023/02/02 17:28:10 - mmengine - INFO - Epoch(train) [190][ 420/1879] lr: 2.0712e-02 eta: 17:55:21 time: 0.5222 data_time: 0.0377 memory: 18104 grad_norm: 4.7611 loss: 3.0738 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8621 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.2117 2023/02/02 17:28:21 - mmengine - INFO - Epoch(train) [190][ 440/1879] lr: 2.0706e-02 eta: 17:55:12 time: 0.5283 data_time: 0.0375 memory: 18104 grad_norm: 4.7352 loss: 3.1013 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.8274 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.2740 2023/02/02 17:28:31 - mmengine - INFO - Epoch(train) [190][ 460/1879] lr: 2.0700e-02 eta: 17:55:02 time: 0.5249 data_time: 0.0311 memory: 18104 grad_norm: 4.8034 loss: 3.3456 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9030 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.4426 2023/02/02 17:28:42 - mmengine - INFO - Epoch(train) [190][ 480/1879] lr: 2.0694e-02 eta: 17:54:53 time: 0.5233 data_time: 0.0451 memory: 18104 grad_norm: 4.7502 loss: 3.1639 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.8611 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.3029 2023/02/02 17:28:52 - mmengine - INFO - Epoch(train) [190][ 500/1879] lr: 2.0688e-02 eta: 17:54:42 time: 0.5118 data_time: 0.0313 memory: 18104 grad_norm: 4.8760 loss: 3.3330 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9833 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.3497 2023/02/02 17:29:03 - mmengine - INFO - Epoch(train) [190][ 520/1879] lr: 2.0682e-02 eta: 17:54:33 time: 0.5289 data_time: 0.0378 memory: 18104 grad_norm: 4.7428 loss: 3.2706 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 1.9788 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.2918 2023/02/02 17:29:14 - mmengine - INFO - Epoch(train) [190][ 540/1879] lr: 2.0676e-02 eta: 17:54:25 time: 0.5417 data_time: 0.0321 memory: 18104 grad_norm: 4.7602 loss: 3.1285 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8294 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.2990 2023/02/02 17:29:24 - mmengine - INFO - Epoch(train) [190][ 560/1879] lr: 2.0669e-02 eta: 17:54:15 time: 0.5162 data_time: 0.0462 memory: 18104 grad_norm: 4.7429 loss: 3.1930 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9006 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.2924 2023/02/02 17:29:34 - mmengine - INFO - Epoch(train) [190][ 580/1879] lr: 2.0663e-02 eta: 17:54:05 time: 0.5182 data_time: 0.0315 memory: 18104 grad_norm: 4.7089 loss: 3.3599 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0452 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.3147 2023/02/02 17:29:45 - mmengine - INFO - Epoch(train) [190][ 600/1879] lr: 2.0657e-02 eta: 17:53:55 time: 0.5136 data_time: 0.0335 memory: 18104 grad_norm: 4.7770 loss: 3.3498 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0191 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.3307 2023/02/02 17:29:55 - mmengine - INFO - Epoch(train) [190][ 620/1879] lr: 2.0651e-02 eta: 17:53:45 time: 0.5239 data_time: 0.0400 memory: 18104 grad_norm: 4.8344 loss: 3.0050 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.6167 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.3883 2023/02/02 17:30:05 - mmengine - INFO - Epoch(train) [190][ 640/1879] lr: 2.0645e-02 eta: 17:53:34 time: 0.5078 data_time: 0.0350 memory: 18104 grad_norm: 4.7538 loss: 3.1099 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7648 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.3451 2023/02/02 17:30:16 - mmengine - INFO - Epoch(train) [190][ 660/1879] lr: 2.0639e-02 eta: 17:53:25 time: 0.5321 data_time: 0.0338 memory: 18104 grad_norm: 4.7670 loss: 3.1780 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8989 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.2790 2023/02/02 17:30:26 - mmengine - INFO - Epoch(train) [190][ 680/1879] lr: 2.0633e-02 eta: 17:53:14 time: 0.4983 data_time: 0.0344 memory: 18104 grad_norm: 4.7705 loss: 3.3345 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9944 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.3401 2023/02/02 17:30:36 - mmengine - INFO - Epoch(train) [190][ 700/1879] lr: 2.0627e-02 eta: 17:53:04 time: 0.5185 data_time: 0.0400 memory: 18104 grad_norm: 4.8977 loss: 3.1754 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8987 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.2767 2023/02/02 17:30:46 - mmengine - INFO - Epoch(train) [190][ 720/1879] lr: 2.0621e-02 eta: 17:52:53 time: 0.5020 data_time: 0.0337 memory: 18104 grad_norm: 4.8090 loss: 3.1424 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7846 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.3578 2023/02/02 17:30:57 - mmengine - INFO - Epoch(train) [190][ 740/1879] lr: 2.0615e-02 eta: 17:52:44 time: 0.5300 data_time: 0.0310 memory: 18104 grad_norm: 4.7905 loss: 3.0068 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.7219 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.2849 2023/02/02 17:31:07 - mmengine - INFO - Epoch(train) [190][ 760/1879] lr: 2.0608e-02 eta: 17:52:33 time: 0.5111 data_time: 0.0403 memory: 18104 grad_norm: 4.8297 loss: 3.2974 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9390 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.3585 2023/02/02 17:31:18 - mmengine - INFO - Epoch(train) [190][ 780/1879] lr: 2.0602e-02 eta: 17:52:23 time: 0.5160 data_time: 0.0334 memory: 18104 grad_norm: 4.7374 loss: 3.2342 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9420 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.2923 2023/02/02 17:31:28 - mmengine - INFO - Epoch(train) [190][ 800/1879] lr: 2.0596e-02 eta: 17:52:13 time: 0.5134 data_time: 0.0345 memory: 18104 grad_norm: 4.8723 loss: 3.2088 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8324 top1_acc_1: 0.5294 top5_acc_1: 0.7529 loss_cls_1: 1.3765 2023/02/02 17:31:38 - mmengine - INFO - Epoch(train) [190][ 820/1879] lr: 2.0590e-02 eta: 17:52:01 time: 0.5043 data_time: 0.0328 memory: 18104 grad_norm: 4.8538 loss: 3.2767 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9591 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.3176 2023/02/02 17:31:48 - mmengine - INFO - Epoch(train) [190][ 840/1879] lr: 2.0584e-02 eta: 17:51:51 time: 0.5110 data_time: 0.0413 memory: 18104 grad_norm: 4.7938 loss: 3.0281 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6484 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.3797 2023/02/02 17:31:59 - mmengine - INFO - Epoch(train) [190][ 860/1879] lr: 2.0578e-02 eta: 17:51:42 time: 0.5261 data_time: 0.0319 memory: 18104 grad_norm: 4.8422 loss: 3.3108 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9176 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.3933 2023/02/02 17:32:03 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 17:32:09 - mmengine - INFO - Epoch(train) [190][ 880/1879] lr: 2.0572e-02 eta: 17:51:30 time: 0.5036 data_time: 0.0362 memory: 18104 grad_norm: 4.9175 loss: 3.3086 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.9765 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.3321 2023/02/02 17:32:19 - mmengine - INFO - Epoch(train) [190][ 900/1879] lr: 2.0566e-02 eta: 17:51:20 time: 0.5182 data_time: 0.0444 memory: 18104 grad_norm: 4.7782 loss: 3.1968 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9099 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.2869 2023/02/02 17:32:29 - mmengine - INFO - Epoch(train) [190][ 920/1879] lr: 2.0560e-02 eta: 17:51:10 time: 0.5072 data_time: 0.0342 memory: 18104 grad_norm: 4.8620 loss: 3.3095 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9239 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.3856 2023/02/02 17:32:40 - mmengine - INFO - Epoch(train) [190][ 940/1879] lr: 2.0554e-02 eta: 17:51:01 time: 0.5357 data_time: 0.0318 memory: 18104 grad_norm: 4.8733 loss: 3.2915 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.9431 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.3484 2023/02/02 17:32:51 - mmengine - INFO - Epoch(train) [190][ 960/1879] lr: 2.0548e-02 eta: 17:50:52 time: 0.5340 data_time: 0.0515 memory: 18104 grad_norm: 4.6656 loss: 3.2532 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 1.9195 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.3337 2023/02/02 17:33:01 - mmengine - INFO - Epoch(train) [190][ 980/1879] lr: 2.0542e-02 eta: 17:50:43 time: 0.5254 data_time: 0.0310 memory: 18104 grad_norm: 4.7138 loss: 3.0910 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8295 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.2614 2023/02/02 17:33:12 - mmengine - INFO - Epoch(train) [190][1000/1879] lr: 2.0535e-02 eta: 17:50:34 time: 0.5294 data_time: 0.0354 memory: 18104 grad_norm: 4.7581 loss: 3.1971 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7439 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.4532 2023/02/02 17:33:22 - mmengine - INFO - Epoch(train) [190][1020/1879] lr: 2.0529e-02 eta: 17:50:24 time: 0.5198 data_time: 0.0314 memory: 18104 grad_norm: 4.8965 loss: 3.5001 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 2.1356 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.3645 2023/02/02 17:33:33 - mmengine - INFO - Epoch(train) [190][1040/1879] lr: 2.0523e-02 eta: 17:50:14 time: 0.5161 data_time: 0.0414 memory: 18104 grad_norm: 4.9032 loss: 3.3142 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.9060 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.4082 2023/02/02 17:33:44 - mmengine - INFO - Epoch(train) [190][1060/1879] lr: 2.0517e-02 eta: 17:50:05 time: 0.5397 data_time: 0.0317 memory: 18104 grad_norm: 4.7148 loss: 3.3037 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.9548 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.3488 2023/02/02 17:33:54 - mmengine - INFO - Epoch(train) [190][1080/1879] lr: 2.0511e-02 eta: 17:49:55 time: 0.5122 data_time: 0.0339 memory: 18104 grad_norm: 4.7560 loss: 3.2706 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.8673 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.4033 2023/02/02 17:34:04 - mmengine - INFO - Epoch(train) [190][1100/1879] lr: 2.0505e-02 eta: 17:49:45 time: 0.5234 data_time: 0.0395 memory: 18104 grad_norm: 4.8942 loss: 3.1776 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8064 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.3712 2023/02/02 17:34:15 - mmengine - INFO - Epoch(train) [190][1120/1879] lr: 2.0499e-02 eta: 17:49:36 time: 0.5318 data_time: 0.0342 memory: 18104 grad_norm: 4.7590 loss: 3.3264 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0164 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.3099 2023/02/02 17:34:26 - mmengine - INFO - Epoch(train) [190][1140/1879] lr: 2.0493e-02 eta: 17:49:27 time: 0.5350 data_time: 0.0319 memory: 18104 grad_norm: 4.8246 loss: 3.3180 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.9030 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.4150 2023/02/02 17:34:36 - mmengine - INFO - Epoch(train) [190][1160/1879] lr: 2.0487e-02 eta: 17:49:17 time: 0.5139 data_time: 0.0346 memory: 18104 grad_norm: 4.8810 loss: 3.2627 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9222 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.3405 2023/02/02 17:34:47 - mmengine - INFO - Epoch(train) [190][1180/1879] lr: 2.0481e-02 eta: 17:49:09 time: 0.5379 data_time: 0.0329 memory: 18104 grad_norm: 4.7070 loss: 3.2385 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9814 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 1.2571 2023/02/02 17:34:57 - mmengine - INFO - Epoch(train) [190][1200/1879] lr: 2.0475e-02 eta: 17:48:59 time: 0.5289 data_time: 0.0328 memory: 18104 grad_norm: 4.7224 loss: 3.3022 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.8285 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.4737 2023/02/02 17:35:08 - mmengine - INFO - Epoch(train) [190][1220/1879] lr: 2.0469e-02 eta: 17:48:50 time: 0.5253 data_time: 0.0331 memory: 18104 grad_norm: 4.8699 loss: 3.0970 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 1.7363 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.3608 2023/02/02 17:35:18 - mmengine - INFO - Epoch(train) [190][1240/1879] lr: 2.0462e-02 eta: 17:48:39 time: 0.5111 data_time: 0.0414 memory: 18104 grad_norm: 4.8186 loss: 3.2225 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.8828 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.3397 2023/02/02 17:35:29 - mmengine - INFO - Epoch(train) [190][1260/1879] lr: 2.0456e-02 eta: 17:48:30 time: 0.5280 data_time: 0.0316 memory: 18104 grad_norm: 4.7374 loss: 3.4295 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0199 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.4096 2023/02/02 17:35:39 - mmengine - INFO - Epoch(train) [190][1280/1879] lr: 2.0450e-02 eta: 17:48:20 time: 0.5143 data_time: 0.0329 memory: 18104 grad_norm: 4.7005 loss: 3.2530 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.9220 top1_acc_1: 0.7294 top5_acc_1: 0.9529 loss_cls_1: 1.3309 2023/02/02 17:35:50 - mmengine - INFO - Epoch(train) [190][1300/1879] lr: 2.0444e-02 eta: 17:48:11 time: 0.5293 data_time: 0.0309 memory: 18104 grad_norm: 4.7097 loss: 3.0276 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6495 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.3781 2023/02/02 17:36:00 - mmengine - INFO - Epoch(train) [190][1320/1879] lr: 2.0438e-02 eta: 17:48:02 time: 0.5325 data_time: 0.0398 memory: 18104 grad_norm: 4.6944 loss: 3.3282 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9671 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.3610 2023/02/02 17:36:11 - mmengine - INFO - Epoch(train) [190][1340/1879] lr: 2.0432e-02 eta: 17:47:54 time: 0.5443 data_time: 0.0312 memory: 18104 grad_norm: 4.7883 loss: 3.1374 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8197 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.3177 2023/02/02 17:36:22 - mmengine - INFO - Epoch(train) [190][1360/1879] lr: 2.0426e-02 eta: 17:47:44 time: 0.5196 data_time: 0.0326 memory: 18104 grad_norm: 4.7118 loss: 3.3800 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.9836 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.3965 2023/02/02 17:36:33 - mmengine - INFO - Epoch(train) [190][1380/1879] lr: 2.0420e-02 eta: 17:47:36 time: 0.5461 data_time: 0.0391 memory: 18104 grad_norm: 4.7029 loss: 3.1045 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7632 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.3413 2023/02/02 17:36:43 - mmengine - INFO - Epoch(train) [190][1400/1879] lr: 2.0414e-02 eta: 17:47:26 time: 0.5176 data_time: 0.0336 memory: 18104 grad_norm: 4.7989 loss: 3.1453 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8243 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.3210 2023/02/02 17:36:54 - mmengine - INFO - Epoch(train) [190][1420/1879] lr: 2.0408e-02 eta: 17:47:18 time: 0.5411 data_time: 0.0317 memory: 18104 grad_norm: 4.7537 loss: 3.0529 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.7088 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.3441 2023/02/02 17:37:04 - mmengine - INFO - Epoch(train) [190][1440/1879] lr: 2.0402e-02 eta: 17:47:08 time: 0.5196 data_time: 0.0335 memory: 18104 grad_norm: 4.8413 loss: 3.1320 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8301 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.3019 2023/02/02 17:37:15 - mmengine - INFO - Epoch(train) [190][1460/1879] lr: 2.0396e-02 eta: 17:47:00 time: 0.5466 data_time: 0.0390 memory: 18104 grad_norm: 4.7547 loss: 3.0765 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7287 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.3478 2023/02/02 17:37:26 - mmengine - INFO - Epoch(train) [190][1480/1879] lr: 2.0390e-02 eta: 17:46:51 time: 0.5362 data_time: 0.0327 memory: 18104 grad_norm: 4.7219 loss: 3.1149 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.7459 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.3690 2023/02/02 17:37:37 - mmengine - INFO - Epoch(train) [190][1500/1879] lr: 2.0384e-02 eta: 17:46:43 time: 0.5482 data_time: 0.0322 memory: 18104 grad_norm: 4.8248 loss: 3.3808 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.9970 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.3838 2023/02/02 17:37:47 - mmengine - INFO - Epoch(train) [190][1520/1879] lr: 2.0377e-02 eta: 17:46:34 time: 0.5271 data_time: 0.0397 memory: 18104 grad_norm: 4.7312 loss: 3.1784 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.7563 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.4222 2023/02/02 17:37:58 - mmengine - INFO - Epoch(train) [190][1540/1879] lr: 2.0371e-02 eta: 17:46:26 time: 0.5461 data_time: 0.0307 memory: 18104 grad_norm: 4.8581 loss: 3.1758 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 1.8321 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.3436 2023/02/02 17:38:09 - mmengine - INFO - Epoch(train) [190][1560/1879] lr: 2.0365e-02 eta: 17:46:16 time: 0.5189 data_time: 0.0332 memory: 18104 grad_norm: 4.8881 loss: 3.1949 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8013 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.3936 2023/02/02 17:38:20 - mmengine - INFO - Epoch(train) [190][1580/1879] lr: 2.0359e-02 eta: 17:46:09 time: 0.5536 data_time: 0.0321 memory: 18104 grad_norm: 4.8273 loss: 3.5309 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 2.1057 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.4252 2023/02/02 17:38:31 - mmengine - INFO - Epoch(train) [190][1600/1879] lr: 2.0353e-02 eta: 17:46:00 time: 0.5422 data_time: 0.0403 memory: 18104 grad_norm: 4.7985 loss: 3.5013 top1_acc_0: 0.2500 top5_acc_0: 0.7500 loss_cls_0: 2.0694 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.4319 2023/02/02 17:38:42 - mmengine - INFO - Epoch(train) [190][1620/1879] lr: 2.0347e-02 eta: 17:45:52 time: 0.5420 data_time: 0.0326 memory: 18104 grad_norm: 4.7935 loss: 3.2311 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8802 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.3510 2023/02/02 17:38:52 - mmengine - INFO - Epoch(train) [190][1640/1879] lr: 2.0341e-02 eta: 17:45:43 time: 0.5309 data_time: 0.0322 memory: 18104 grad_norm: 4.8180 loss: 3.2289 top1_acc_0: 0.5000 top5_acc_0: 1.0000 loss_cls_0: 1.8293 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.3995 2023/02/02 17:39:03 - mmengine - INFO - Epoch(train) [190][1660/1879] lr: 2.0335e-02 eta: 17:45:35 time: 0.5402 data_time: 0.0312 memory: 18104 grad_norm: 4.7180 loss: 3.1709 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8571 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.3137 2023/02/02 17:39:14 - mmengine - INFO - Epoch(train) [190][1680/1879] lr: 2.0329e-02 eta: 17:45:26 time: 0.5394 data_time: 0.0347 memory: 18104 grad_norm: 4.7364 loss: 3.4268 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0162 top1_acc_1: 0.5647 top5_acc_1: 0.8824 loss_cls_1: 1.4106 2023/02/02 17:39:25 - mmengine - INFO - Epoch(train) [190][1700/1879] lr: 2.0323e-02 eta: 17:45:18 time: 0.5371 data_time: 0.0314 memory: 18104 grad_norm: 4.7981 loss: 3.3061 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9016 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.4045 2023/02/02 17:39:35 - mmengine - INFO - Epoch(train) [190][1720/1879] lr: 2.0317e-02 eta: 17:45:08 time: 0.5295 data_time: 0.0322 memory: 18104 grad_norm: 4.7494 loss: 3.1199 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.7224 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.3975 2023/02/02 17:39:47 - mmengine - INFO - Epoch(train) [190][1740/1879] lr: 2.0311e-02 eta: 17:45:02 time: 0.5647 data_time: 0.0380 memory: 18104 grad_norm: 4.7668 loss: 3.4451 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0392 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.4059 2023/02/02 17:39:57 - mmengine - INFO - Epoch(train) [190][1760/1879] lr: 2.0305e-02 eta: 17:44:51 time: 0.5142 data_time: 0.0338 memory: 18104 grad_norm: 4.7722 loss: 3.1918 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7874 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.4044 2023/02/02 17:40:08 - mmengine - INFO - Epoch(train) [190][1780/1879] lr: 2.0299e-02 eta: 17:44:42 time: 0.5324 data_time: 0.0312 memory: 18104 grad_norm: 4.8012 loss: 3.1877 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9072 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.2804 2023/02/02 17:40:18 - mmengine - INFO - Epoch(train) [190][1800/1879] lr: 2.0293e-02 eta: 17:44:33 time: 0.5269 data_time: 0.0355 memory: 18104 grad_norm: 4.8153 loss: 3.1498 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7884 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.3614 2023/02/02 17:40:29 - mmengine - INFO - Epoch(train) [190][1820/1879] lr: 2.0287e-02 eta: 17:44:25 time: 0.5413 data_time: 0.0393 memory: 18104 grad_norm: 4.8190 loss: 3.2243 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.8649 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.3594 2023/02/02 17:40:39 - mmengine - INFO - Epoch(train) [190][1840/1879] lr: 2.0280e-02 eta: 17:44:15 time: 0.5230 data_time: 0.0340 memory: 18104 grad_norm: 4.8130 loss: 3.2958 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.9145 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.3813 2023/02/02 17:40:50 - mmengine - INFO - Epoch(train) [190][1860/1879] lr: 2.0274e-02 eta: 17:44:07 time: 0.5443 data_time: 0.0341 memory: 18104 grad_norm: 4.8673 loss: 3.2875 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9498 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.3377 2023/02/02 17:40:55 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 17:41:00 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 17:41:00 - mmengine - INFO - Epoch(train) [190][1879/1879] lr: 2.0269e-02 eta: 17:43:56 time: 0.5020 data_time: 0.0318 memory: 18104 grad_norm: 5.0083 loss: 3.3985 top1_acc_0: 0.5714 top5_acc_0: 0.5714 loss_cls_0: 2.0582 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.3403 2023/02/02 17:41:15 - mmengine - INFO - Epoch(train) [191][ 20/1879] lr: 2.0263e-02 eta: 17:44:00 time: 0.7149 data_time: 0.2616 memory: 18104 grad_norm: 4.7439 loss: 3.2191 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7680 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.4511 2023/02/02 17:41:24 - mmengine - INFO - Epoch(train) [191][ 40/1879] lr: 2.0257e-02 eta: 17:43:47 time: 0.4763 data_time: 0.0335 memory: 18104 grad_norm: 4.6535 loss: 3.1828 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.8338 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.3490 2023/02/02 17:41:34 - mmengine - INFO - Epoch(train) [191][ 60/1879] lr: 2.0250e-02 eta: 17:43:34 time: 0.4806 data_time: 0.0347 memory: 18104 grad_norm: 4.9008 loss: 3.4480 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0839 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.3640 2023/02/02 17:41:44 - mmengine - INFO - Epoch(train) [191][ 80/1879] lr: 2.0244e-02 eta: 17:43:24 time: 0.5164 data_time: 0.0324 memory: 18104 grad_norm: 4.8188 loss: 3.3237 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9908 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.3329 2023/02/02 17:41:54 - mmengine - INFO - Epoch(train) [191][ 100/1879] lr: 2.0238e-02 eta: 17:43:12 time: 0.4827 data_time: 0.0379 memory: 18104 grad_norm: 4.7702 loss: 3.2552 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9517 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.3035 2023/02/02 17:42:04 - mmengine - INFO - Epoch(train) [191][ 120/1879] lr: 2.0232e-02 eta: 17:42:59 time: 0.4778 data_time: 0.0341 memory: 18104 grad_norm: 4.6879 loss: 3.0105 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.6960 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.3145 2023/02/02 17:42:14 - mmengine - INFO - Epoch(train) [191][ 140/1879] lr: 2.0226e-02 eta: 17:42:47 time: 0.4974 data_time: 0.0430 memory: 18104 grad_norm: 4.6636 loss: 3.1856 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.8591 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.3264 2023/02/02 17:42:24 - mmengine - INFO - Epoch(train) [191][ 160/1879] lr: 2.0220e-02 eta: 17:42:36 time: 0.5005 data_time: 0.0318 memory: 18104 grad_norm: 4.8771 loss: 3.2305 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8986 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.3319 2023/02/02 17:42:33 - mmengine - INFO - Epoch(train) [191][ 180/1879] lr: 2.0214e-02 eta: 17:42:23 time: 0.4790 data_time: 0.0366 memory: 18104 grad_norm: 4.7703 loss: 2.9843 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.6965 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.2878 2023/02/02 17:42:43 - mmengine - INFO - Epoch(train) [191][ 200/1879] lr: 2.0208e-02 eta: 17:42:10 time: 0.4773 data_time: 0.0321 memory: 18104 grad_norm: 4.6828 loss: 2.9647 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5977 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.3670 2023/02/02 17:42:53 - mmengine - INFO - Epoch(train) [191][ 220/1879] lr: 2.0202e-02 eta: 17:41:59 time: 0.5082 data_time: 0.0430 memory: 18104 grad_norm: 4.8114 loss: 3.2337 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0069 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.2268 2023/02/02 17:43:03 - mmengine - INFO - Epoch(train) [191][ 240/1879] lr: 2.0196e-02 eta: 17:41:47 time: 0.4877 data_time: 0.0324 memory: 18104 grad_norm: 4.8483 loss: 3.1049 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8069 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.2979 2023/02/02 17:43:12 - mmengine - INFO - Epoch(train) [191][ 260/1879] lr: 2.0190e-02 eta: 17:41:34 time: 0.4791 data_time: 0.0364 memory: 18104 grad_norm: 4.9182 loss: 3.3503 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0051 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 1.3452 2023/02/02 17:43:22 - mmengine - INFO - Epoch(train) [191][ 280/1879] lr: 2.0184e-02 eta: 17:41:22 time: 0.4908 data_time: 0.0418 memory: 18104 grad_norm: 4.7898 loss: 3.2638 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 1.9565 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.3073 2023/02/02 17:43:32 - mmengine - INFO - Epoch(train) [191][ 300/1879] lr: 2.0178e-02 eta: 17:41:11 time: 0.5117 data_time: 0.0360 memory: 18104 grad_norm: 4.7613 loss: 3.2181 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.9108 top1_acc_1: 0.6000 top5_acc_1: 0.9294 loss_cls_1: 1.3073 2023/02/02 17:43:42 - mmengine - INFO - Epoch(train) [191][ 320/1879] lr: 2.0172e-02 eta: 17:40:58 time: 0.4789 data_time: 0.0307 memory: 18104 grad_norm: 4.8363 loss: 3.2480 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9583 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.2896 2023/02/02 17:43:52 - mmengine - INFO - Epoch(train) [191][ 340/1879] lr: 2.0166e-02 eta: 17:40:46 time: 0.4812 data_time: 0.0373 memory: 18104 grad_norm: 4.7318 loss: 3.1067 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7974 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.3093 2023/02/02 17:44:02 - mmengine - INFO - Epoch(train) [191][ 360/1879] lr: 2.0160e-02 eta: 17:40:34 time: 0.4969 data_time: 0.0380 memory: 18104 grad_norm: 4.9319 loss: 3.1031 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.7720 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.3310 2023/02/02 17:44:12 - mmengine - INFO - Epoch(train) [191][ 380/1879] lr: 2.0154e-02 eta: 17:40:23 time: 0.5048 data_time: 0.0347 memory: 18104 grad_norm: 5.0276 loss: 3.2984 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.9260 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.3724 2023/02/02 17:44:22 - mmengine - INFO - Epoch(train) [191][ 400/1879] lr: 2.0148e-02 eta: 17:40:11 time: 0.4903 data_time: 0.0316 memory: 18104 grad_norm: 4.8473 loss: 3.1930 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8211 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.3719 2023/02/02 17:44:32 - mmengine - INFO - Epoch(train) [191][ 420/1879] lr: 2.0142e-02 eta: 17:40:00 time: 0.5028 data_time: 0.0404 memory: 18104 grad_norm: 4.7515 loss: 3.2646 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9955 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.2690 2023/02/02 17:44:42 - mmengine - INFO - Epoch(train) [191][ 440/1879] lr: 2.0136e-02 eta: 17:39:49 time: 0.5125 data_time: 0.0308 memory: 18104 grad_norm: 4.9535 loss: 3.2456 top1_acc_0: 0.3125 top5_acc_0: 0.3750 loss_cls_0: 1.9171 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.3285 2023/02/02 17:44:52 - mmengine - INFO - Epoch(train) [191][ 460/1879] lr: 2.0130e-02 eta: 17:39:38 time: 0.4950 data_time: 0.0371 memory: 18104 grad_norm: 4.9194 loss: 3.3082 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 1.9711 top1_acc_1: 0.7529 top5_acc_1: 0.8588 loss_cls_1: 1.3371 2023/02/02 17:45:02 - mmengine - INFO - Epoch(train) [191][ 480/1879] lr: 2.0124e-02 eta: 17:39:26 time: 0.4897 data_time: 0.0323 memory: 18104 grad_norm: 4.8594 loss: 3.3523 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9699 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.3823 2023/02/02 17:45:12 - mmengine - INFO - Epoch(train) [191][ 500/1879] lr: 2.0117e-02 eta: 17:39:15 time: 0.5038 data_time: 0.0419 memory: 18104 grad_norm: 4.6370 loss: 3.1335 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.8059 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.3276 2023/02/02 17:45:22 - mmengine - INFO - Epoch(train) [191][ 520/1879] lr: 2.0111e-02 eta: 17:39:04 time: 0.5143 data_time: 0.0313 memory: 18104 grad_norm: 4.8496 loss: 3.1112 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8025 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.3087 2023/02/02 17:45:32 - mmengine - INFO - Epoch(train) [191][ 540/1879] lr: 2.0105e-02 eta: 17:38:53 time: 0.4937 data_time: 0.0350 memory: 18104 grad_norm: 4.7657 loss: 3.1323 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8101 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.3221 2023/02/02 17:45:42 - mmengine - INFO - Epoch(train) [191][ 560/1879] lr: 2.0099e-02 eta: 17:38:41 time: 0.4994 data_time: 0.0317 memory: 18104 grad_norm: 4.8322 loss: 3.1259 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8005 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.3254 2023/02/02 17:45:52 - mmengine - INFO - Epoch(train) [191][ 580/1879] lr: 2.0093e-02 eta: 17:38:30 time: 0.5059 data_time: 0.0373 memory: 18104 grad_norm: 4.8201 loss: 3.2034 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9050 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.2984 2023/02/02 17:46:02 - mmengine - INFO - Epoch(train) [191][ 600/1879] lr: 2.0087e-02 eta: 17:38:19 time: 0.4974 data_time: 0.0304 memory: 18104 grad_norm: 4.6937 loss: 3.3618 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.9706 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.3912 2023/02/02 17:46:12 - mmengine - INFO - Epoch(train) [191][ 620/1879] lr: 2.0081e-02 eta: 17:38:08 time: 0.5063 data_time: 0.0373 memory: 18104 grad_norm: 4.6605 loss: 2.8968 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6092 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.2875 2023/02/02 17:46:23 - mmengine - INFO - Epoch(train) [191][ 640/1879] lr: 2.0075e-02 eta: 17:37:58 time: 0.5244 data_time: 0.0378 memory: 18104 grad_norm: 4.7622 loss: 3.0329 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.6510 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.3819 2023/02/02 17:46:33 - mmengine - INFO - Epoch(train) [191][ 660/1879] lr: 2.0069e-02 eta: 17:37:49 time: 0.5260 data_time: 0.0375 memory: 18104 grad_norm: 4.8234 loss: 3.1961 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8167 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.3795 2023/02/02 17:46:43 - mmengine - INFO - Epoch(train) [191][ 680/1879] lr: 2.0063e-02 eta: 17:37:37 time: 0.4992 data_time: 0.0326 memory: 18104 grad_norm: 4.9271 loss: 3.4219 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 2.0813 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.3406 2023/02/02 17:46:54 - mmengine - INFO - Epoch(train) [191][ 700/1879] lr: 2.0057e-02 eta: 17:37:27 time: 0.5195 data_time: 0.0436 memory: 18104 grad_norm: 4.8304 loss: 3.0826 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7266 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.3560 2023/02/02 17:47:04 - mmengine - INFO - Epoch(train) [191][ 720/1879] lr: 2.0051e-02 eta: 17:37:17 time: 0.5122 data_time: 0.0309 memory: 18104 grad_norm: 4.8393 loss: 3.1442 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7917 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.3526 2023/02/02 17:47:14 - mmengine - INFO - Epoch(train) [191][ 740/1879] lr: 2.0045e-02 eta: 17:37:07 time: 0.5166 data_time: 0.0350 memory: 18104 grad_norm: 4.8650 loss: 3.0470 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7942 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.2527 2023/02/02 17:47:24 - mmengine - INFO - Epoch(train) [191][ 760/1879] lr: 2.0039e-02 eta: 17:36:56 time: 0.5042 data_time: 0.0315 memory: 18104 grad_norm: 4.7365 loss: 3.1880 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8052 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.3828 2023/02/02 17:47:35 - mmengine - INFO - Epoch(train) [191][ 780/1879] lr: 2.0033e-02 eta: 17:36:47 time: 0.5283 data_time: 0.0426 memory: 18104 grad_norm: 4.9003 loss: 3.1548 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.7770 top1_acc_1: 0.6118 top5_acc_1: 0.8118 loss_cls_1: 1.3778 2023/02/02 17:47:45 - mmengine - INFO - Epoch(train) [191][ 800/1879] lr: 2.0027e-02 eta: 17:36:37 time: 0.5184 data_time: 0.0303 memory: 18104 grad_norm: 4.7350 loss: 3.0751 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.7631 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.3120 2023/02/02 17:47:56 - mmengine - INFO - Epoch(train) [191][ 820/1879] lr: 2.0021e-02 eta: 17:36:26 time: 0.5105 data_time: 0.0364 memory: 18104 grad_norm: 4.9745 loss: 3.3253 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9335 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.3917 2023/02/02 17:48:06 - mmengine - INFO - Epoch(train) [191][ 840/1879] lr: 2.0015e-02 eta: 17:36:16 time: 0.5173 data_time: 0.0312 memory: 18104 grad_norm: 4.9692 loss: 3.1790 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8702 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.3088 2023/02/02 17:48:17 - mmengine - INFO - Epoch(train) [191][ 860/1879] lr: 2.0009e-02 eta: 17:36:06 time: 0.5274 data_time: 0.0433 memory: 18104 grad_norm: 4.7648 loss: 3.3008 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 2.0887 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.2121 2023/02/02 17:48:27 - mmengine - INFO - Epoch(train) [191][ 880/1879] lr: 2.0003e-02 eta: 17:35:57 time: 0.5192 data_time: 0.0322 memory: 18104 grad_norm: 4.7876 loss: 3.2965 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 1.9940 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.3025 2023/02/02 17:48:37 - mmengine - INFO - Epoch(train) [191][ 900/1879] lr: 1.9997e-02 eta: 17:35:46 time: 0.5125 data_time: 0.0369 memory: 18104 grad_norm: 4.8261 loss: 3.2686 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.9191 top1_acc_1: 0.6471 top5_acc_1: 0.9412 loss_cls_1: 1.3494 2023/02/02 17:48:48 - mmengine - INFO - Epoch(train) [191][ 920/1879] lr: 1.9991e-02 eta: 17:35:37 time: 0.5293 data_time: 0.0385 memory: 18104 grad_norm: 4.8644 loss: 3.2684 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 1.9648 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.3036 2023/02/02 17:48:58 - mmengine - INFO - Epoch(train) [191][ 940/1879] lr: 1.9985e-02 eta: 17:35:27 time: 0.5266 data_time: 0.0365 memory: 18104 grad_norm: 4.8654 loss: 3.1999 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.8416 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.3583 2023/02/02 17:49:09 - mmengine - INFO - Epoch(train) [191][ 960/1879] lr: 1.9979e-02 eta: 17:35:17 time: 0.5083 data_time: 0.0327 memory: 18104 grad_norm: 4.9045 loss: 3.1467 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8474 top1_acc_1: 0.7412 top5_acc_1: 0.8353 loss_cls_1: 1.2992 2023/02/02 17:49:19 - mmengine - INFO - Epoch(train) [191][ 980/1879] lr: 1.9973e-02 eta: 17:35:08 time: 0.5322 data_time: 0.0428 memory: 18104 grad_norm: 4.9230 loss: 3.2524 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.9108 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.3416 2023/02/02 17:49:24 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 17:49:30 - mmengine - INFO - Epoch(train) [191][1000/1879] lr: 1.9967e-02 eta: 17:34:58 time: 0.5186 data_time: 0.0327 memory: 18104 grad_norm: 4.7703 loss: 3.2065 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7336 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.4729 2023/02/02 17:49:40 - mmengine - INFO - Epoch(train) [191][1020/1879] lr: 1.9961e-02 eta: 17:34:48 time: 0.5245 data_time: 0.0371 memory: 18104 grad_norm: 4.8971 loss: 3.1174 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7879 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.3295 2023/02/02 17:49:51 - mmengine - INFO - Epoch(train) [191][1040/1879] lr: 1.9955e-02 eta: 17:34:38 time: 0.5196 data_time: 0.0325 memory: 18104 grad_norm: 4.8414 loss: 3.2627 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9334 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.3293 2023/02/02 17:50:01 - mmengine - INFO - Epoch(train) [191][1060/1879] lr: 1.9949e-02 eta: 17:34:29 time: 0.5329 data_time: 0.0429 memory: 18104 grad_norm: 4.7794 loss: 3.0924 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7457 top1_acc_1: 0.7176 top5_acc_1: 0.9647 loss_cls_1: 1.3466 2023/02/02 17:50:12 - mmengine - INFO - Epoch(train) [191][1080/1879] lr: 1.9943e-02 eta: 17:34:19 time: 0.5198 data_time: 0.0303 memory: 18104 grad_norm: 4.9552 loss: 3.4247 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.0541 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.3707 2023/02/02 17:50:22 - mmengine - INFO - Epoch(train) [191][1100/1879] lr: 1.9937e-02 eta: 17:34:10 time: 0.5234 data_time: 0.0349 memory: 18104 grad_norm: 4.8496 loss: 3.5263 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 2.1461 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.3802 2023/02/02 17:50:32 - mmengine - INFO - Epoch(train) [191][1120/1879] lr: 1.9931e-02 eta: 17:33:59 time: 0.5136 data_time: 0.0325 memory: 18104 grad_norm: 4.9057 loss: 3.2745 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 1.9642 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.3103 2023/02/02 17:50:43 - mmengine - INFO - Epoch(train) [191][1140/1879] lr: 1.9925e-02 eta: 17:33:49 time: 0.5202 data_time: 0.0418 memory: 18104 grad_norm: 4.8615 loss: 3.0591 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6765 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.3826 2023/02/02 17:50:53 - mmengine - INFO - Epoch(train) [191][1160/1879] lr: 1.9919e-02 eta: 17:33:40 time: 0.5296 data_time: 0.0315 memory: 18104 grad_norm: 4.8356 loss: 3.2382 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8459 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.3923 2023/02/02 17:51:04 - mmengine - INFO - Epoch(train) [191][1180/1879] lr: 1.9913e-02 eta: 17:33:30 time: 0.5212 data_time: 0.0360 memory: 18104 grad_norm: 4.8595 loss: 3.1605 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8220 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.3385 2023/02/02 17:51:14 - mmengine - INFO - Epoch(train) [191][1200/1879] lr: 1.9907e-02 eta: 17:33:20 time: 0.5097 data_time: 0.0319 memory: 18104 grad_norm: 4.7486 loss: 3.0733 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.6837 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.3896 2023/02/02 17:51:25 - mmengine - INFO - Epoch(train) [191][1220/1879] lr: 1.9901e-02 eta: 17:33:11 time: 0.5384 data_time: 0.0357 memory: 18104 grad_norm: 4.9105 loss: 3.2099 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.9067 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.3033 2023/02/02 17:51:35 - mmengine - INFO - Epoch(train) [191][1240/1879] lr: 1.9895e-02 eta: 17:33:01 time: 0.5233 data_time: 0.0302 memory: 18104 grad_norm: 4.8473 loss: 3.3751 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9512 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.4238 2023/02/02 17:51:46 - mmengine - INFO - Epoch(train) [191][1260/1879] lr: 1.9889e-02 eta: 17:32:51 time: 0.5106 data_time: 0.0365 memory: 18104 grad_norm: 4.8356 loss: 3.3202 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.9040 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.4162 2023/02/02 17:51:56 - mmengine - INFO - Epoch(train) [191][1280/1879] lr: 1.9882e-02 eta: 17:32:40 time: 0.5121 data_time: 0.0399 memory: 18104 grad_norm: 4.8135 loss: 3.2054 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8852 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.3202 2023/02/02 17:52:06 - mmengine - INFO - Epoch(train) [191][1300/1879] lr: 1.9876e-02 eta: 17:32:30 time: 0.5188 data_time: 0.0363 memory: 18104 grad_norm: 4.9150 loss: 3.1303 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.7905 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.3398 2023/02/02 17:52:16 - mmengine - INFO - Epoch(train) [191][1320/1879] lr: 1.9870e-02 eta: 17:32:20 time: 0.5091 data_time: 0.0327 memory: 18104 grad_norm: 4.6897 loss: 3.0632 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6575 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.4057 2023/02/02 17:52:27 - mmengine - INFO - Epoch(train) [191][1340/1879] lr: 1.9864e-02 eta: 17:32:09 time: 0.5067 data_time: 0.0351 memory: 18104 grad_norm: 4.9104 loss: 3.2475 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9147 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.3328 2023/02/02 17:52:37 - mmengine - INFO - Epoch(train) [191][1360/1879] lr: 1.9858e-02 eta: 17:31:58 time: 0.5087 data_time: 0.0331 memory: 18104 grad_norm: 4.9343 loss: 3.3504 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9968 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.3536 2023/02/02 17:52:47 - mmengine - INFO - Epoch(train) [191][1380/1879] lr: 1.9852e-02 eta: 17:31:49 time: 0.5285 data_time: 0.0355 memory: 18104 grad_norm: 4.7747 loss: 2.9465 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.6211 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.3254 2023/02/02 17:52:58 - mmengine - INFO - Epoch(train) [191][1400/1879] lr: 1.9846e-02 eta: 17:31:38 time: 0.5049 data_time: 0.0319 memory: 18104 grad_norm: 4.8346 loss: 3.1914 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9003 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.2911 2023/02/02 17:53:08 - mmengine - INFO - Epoch(train) [191][1420/1879] lr: 1.9840e-02 eta: 17:31:28 time: 0.5170 data_time: 0.0440 memory: 18104 grad_norm: 4.7710 loss: 3.0307 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7274 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 1.3033 2023/02/02 17:53:18 - mmengine - INFO - Epoch(train) [191][1440/1879] lr: 1.9834e-02 eta: 17:31:17 time: 0.5056 data_time: 0.0312 memory: 18104 grad_norm: 4.9481 loss: 3.2302 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8135 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.4167 2023/02/02 17:53:28 - mmengine - INFO - Epoch(train) [191][1460/1879] lr: 1.9828e-02 eta: 17:31:06 time: 0.5107 data_time: 0.0347 memory: 18104 grad_norm: 4.8980 loss: 3.0722 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.8041 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.2681 2023/02/02 17:53:38 - mmengine - INFO - Epoch(train) [191][1480/1879] lr: 1.9822e-02 eta: 17:30:55 time: 0.5050 data_time: 0.0327 memory: 18104 grad_norm: 4.8779 loss: 3.3125 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0211 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.2915 2023/02/02 17:53:49 - mmengine - INFO - Epoch(train) [191][1500/1879] lr: 1.9816e-02 eta: 17:30:45 time: 0.5241 data_time: 0.0411 memory: 18104 grad_norm: 4.9078 loss: 3.1550 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8116 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.3434 2023/02/02 17:53:59 - mmengine - INFO - Epoch(train) [191][1520/1879] lr: 1.9810e-02 eta: 17:30:34 time: 0.5023 data_time: 0.0321 memory: 18104 grad_norm: 4.9977 loss: 3.1755 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8426 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.3329 2023/02/02 17:54:09 - mmengine - INFO - Epoch(train) [191][1540/1879] lr: 1.9804e-02 eta: 17:30:24 time: 0.5199 data_time: 0.0359 memory: 18104 grad_norm: 4.8974 loss: 3.3853 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0222 top1_acc_1: 0.6588 top5_acc_1: 0.8000 loss_cls_1: 1.3631 2023/02/02 17:54:20 - mmengine - INFO - Epoch(train) [191][1560/1879] lr: 1.9798e-02 eta: 17:30:14 time: 0.5099 data_time: 0.0315 memory: 18104 grad_norm: 4.8995 loss: 3.1902 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7374 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.4528 2023/02/02 17:54:30 - mmengine - INFO - Epoch(train) [191][1580/1879] lr: 1.9792e-02 eta: 17:30:04 time: 0.5231 data_time: 0.0346 memory: 18104 grad_norm: 4.7949 loss: 3.4109 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9645 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.4465 2023/02/02 17:54:40 - mmengine - INFO - Epoch(train) [191][1600/1879] lr: 1.9786e-02 eta: 17:29:53 time: 0.5010 data_time: 0.0349 memory: 18104 grad_norm: 4.7415 loss: 3.0833 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.6806 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.4027 2023/02/02 17:54:51 - mmengine - INFO - Epoch(train) [191][1620/1879] lr: 1.9780e-02 eta: 17:29:43 time: 0.5235 data_time: 0.0386 memory: 18104 grad_norm: 4.9314 loss: 3.2694 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 1.8663 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.4031 2023/02/02 17:55:01 - mmengine - INFO - Epoch(train) [191][1640/1879] lr: 1.9774e-02 eta: 17:29:33 time: 0.5229 data_time: 0.0316 memory: 18104 grad_norm: 4.8663 loss: 3.2797 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.9558 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.3238 2023/02/02 17:55:11 - mmengine - INFO - Epoch(train) [191][1660/1879] lr: 1.9768e-02 eta: 17:29:23 time: 0.5103 data_time: 0.0351 memory: 18104 grad_norm: 4.8014 loss: 3.2472 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9113 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.3360 2023/02/02 17:55:22 - mmengine - INFO - Epoch(train) [191][1680/1879] lr: 1.9762e-02 eta: 17:29:12 time: 0.5128 data_time: 0.0323 memory: 18104 grad_norm: 4.7850 loss: 3.3047 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9053 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.3994 2023/02/02 17:55:32 - mmengine - INFO - Epoch(train) [191][1700/1879] lr: 1.9756e-02 eta: 17:29:03 time: 0.5291 data_time: 0.0357 memory: 18104 grad_norm: 4.7949 loss: 3.2342 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8793 top1_acc_1: 0.7647 top5_acc_1: 0.9647 loss_cls_1: 1.3550 2023/02/02 17:55:43 - mmengine - INFO - Epoch(train) [191][1720/1879] lr: 1.9750e-02 eta: 17:28:53 time: 0.5148 data_time: 0.0467 memory: 18104 grad_norm: 4.8051 loss: 3.2493 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8994 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.3500 2023/02/02 17:55:53 - mmengine - INFO - Epoch(train) [191][1740/1879] lr: 1.9744e-02 eta: 17:28:44 time: 0.5328 data_time: 0.0346 memory: 18104 grad_norm: 4.8690 loss: 3.4330 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 2.0866 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.3464 2023/02/02 17:56:04 - mmengine - INFO - Epoch(train) [191][1760/1879] lr: 1.9738e-02 eta: 17:28:34 time: 0.5244 data_time: 0.0330 memory: 18104 grad_norm: 4.8898 loss: 3.2481 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.9280 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.3201 2023/02/02 17:56:14 - mmengine - INFO - Epoch(train) [191][1780/1879] lr: 1.9732e-02 eta: 17:28:25 time: 0.5268 data_time: 0.0416 memory: 18104 grad_norm: 4.8520 loss: 3.3286 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.0199 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.3087 2023/02/02 17:56:24 - mmengine - INFO - Epoch(train) [191][1800/1879] lr: 1.9726e-02 eta: 17:28:14 time: 0.5102 data_time: 0.0311 memory: 18104 grad_norm: 4.9544 loss: 3.0760 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8235 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2524 2023/02/02 17:56:35 - mmengine - INFO - Epoch(train) [191][1820/1879] lr: 1.9720e-02 eta: 17:28:04 time: 0.5183 data_time: 0.0354 memory: 18104 grad_norm: 4.8506 loss: 2.8223 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5984 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.2239 2023/02/02 17:56:46 - mmengine - INFO - Epoch(train) [191][1840/1879] lr: 1.9714e-02 eta: 17:27:55 time: 0.5314 data_time: 0.0325 memory: 18104 grad_norm: 4.7707 loss: 3.1585 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8228 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.3356 2023/02/02 17:56:56 - mmengine - INFO - Epoch(train) [191][1860/1879] lr: 1.9708e-02 eta: 17:27:45 time: 0.5172 data_time: 0.0349 memory: 18104 grad_norm: 4.9837 loss: 3.2520 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.8441 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.4079 2023/02/02 17:57:05 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 17:57:05 - mmengine - INFO - Epoch(train) [191][1879/1879] lr: 1.9703e-02 eta: 17:27:33 time: 0.4906 data_time: 0.0276 memory: 18104 grad_norm: 5.0820 loss: 3.1555 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 1.8912 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.2642 2023/02/02 17:57:20 - mmengine - INFO - Epoch(train) [192][ 20/1879] lr: 1.9697e-02 eta: 17:27:37 time: 0.7169 data_time: 0.2619 memory: 18104 grad_norm: 4.9040 loss: 3.2062 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.9287 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.2775 2023/02/02 17:57:30 - mmengine - INFO - Epoch(train) [192][ 40/1879] lr: 1.9691e-02 eta: 17:27:24 time: 0.4824 data_time: 0.0319 memory: 18104 grad_norm: 4.8315 loss: 3.1980 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.9491 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.2489 2023/02/02 17:57:40 - mmengine - INFO - Epoch(train) [192][ 60/1879] lr: 1.9685e-02 eta: 17:27:12 time: 0.4900 data_time: 0.0373 memory: 18104 grad_norm: 4.8795 loss: 3.0802 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7708 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.3094 2023/02/02 17:57:50 - mmengine - INFO - Epoch(train) [192][ 80/1879] lr: 1.9679e-02 eta: 17:27:02 time: 0.5213 data_time: 0.0308 memory: 18104 grad_norm: 4.7412 loss: 3.1526 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.8517 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.3009 2023/02/02 17:58:00 - mmengine - INFO - Epoch(train) [192][ 100/1879] lr: 1.9673e-02 eta: 17:26:50 time: 0.4875 data_time: 0.0370 memory: 18104 grad_norm: 4.7543 loss: 3.3318 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9877 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.3440 2023/02/02 17:58:05 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 17:58:10 - mmengine - INFO - Epoch(train) [192][ 120/1879] lr: 1.9667e-02 eta: 17:26:38 time: 0.4833 data_time: 0.0320 memory: 18104 grad_norm: 4.8281 loss: 3.1289 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.8217 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.3072 2023/02/02 17:58:20 - mmengine - INFO - Epoch(train) [192][ 140/1879] lr: 1.9661e-02 eta: 17:26:28 time: 0.5158 data_time: 0.0381 memory: 18104 grad_norm: 4.7466 loss: 3.2733 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8847 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.3886 2023/02/02 17:58:30 - mmengine - INFO - Epoch(train) [192][ 160/1879] lr: 1.9655e-02 eta: 17:26:16 time: 0.5006 data_time: 0.0333 memory: 18104 grad_norm: 4.6941 loss: 3.2642 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9666 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 1.2976 2023/02/02 17:58:40 - mmengine - INFO - Epoch(train) [192][ 180/1879] lr: 1.9649e-02 eta: 17:26:04 time: 0.4880 data_time: 0.0365 memory: 18104 grad_norm: 4.8502 loss: 3.5031 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1717 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.3314 2023/02/02 17:58:50 - mmengine - INFO - Epoch(train) [192][ 200/1879] lr: 1.9643e-02 eta: 17:25:53 time: 0.4994 data_time: 0.0387 memory: 18104 grad_norm: 4.8137 loss: 2.9970 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6889 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.3080 2023/02/02 17:59:00 - mmengine - INFO - Epoch(train) [192][ 220/1879] lr: 1.9637e-02 eta: 17:25:44 time: 0.5268 data_time: 0.0337 memory: 18104 grad_norm: 4.7364 loss: 3.1147 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7667 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.3480 2023/02/02 17:59:10 - mmengine - INFO - Epoch(train) [192][ 240/1879] lr: 1.9631e-02 eta: 17:25:32 time: 0.4904 data_time: 0.0319 memory: 18104 grad_norm: 4.8192 loss: 3.3080 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8963 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.4117 2023/02/02 17:59:20 - mmengine - INFO - Epoch(train) [192][ 260/1879] lr: 1.9625e-02 eta: 17:25:20 time: 0.4976 data_time: 0.0450 memory: 18104 grad_norm: 4.7284 loss: 3.1826 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8068 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.3759 2023/02/02 17:59:30 - mmengine - INFO - Epoch(train) [192][ 280/1879] lr: 1.9619e-02 eta: 17:25:08 time: 0.4889 data_time: 0.0298 memory: 18104 grad_norm: 4.7001 loss: 3.1194 top1_acc_0: 0.3125 top5_acc_0: 0.8750 loss_cls_0: 1.8275 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.2920 2023/02/02 17:59:40 - mmengine - INFO - Epoch(train) [192][ 300/1879] lr: 1.9613e-02 eta: 17:24:58 time: 0.5229 data_time: 0.0356 memory: 18104 grad_norm: 4.8823 loss: 3.1507 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8318 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.3189 2023/02/02 17:59:50 - mmengine - INFO - Epoch(train) [192][ 320/1879] lr: 1.9607e-02 eta: 17:24:46 time: 0.4893 data_time: 0.0319 memory: 18104 grad_norm: 4.9818 loss: 3.0256 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7993 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.2263 2023/02/02 18:00:00 - mmengine - INFO - Epoch(train) [192][ 340/1879] lr: 1.9601e-02 eta: 17:24:35 time: 0.4951 data_time: 0.0379 memory: 18104 grad_norm: 4.8889 loss: 3.3354 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0141 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.3212 2023/02/02 18:00:10 - mmengine - INFO - Epoch(train) [192][ 360/1879] lr: 1.9595e-02 eta: 17:24:23 time: 0.4960 data_time: 0.0329 memory: 18104 grad_norm: 4.8257 loss: 3.1274 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7814 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.3460 2023/02/02 18:00:21 - mmengine - INFO - Epoch(train) [192][ 380/1879] lr: 1.9589e-02 eta: 17:24:14 time: 0.5265 data_time: 0.0348 memory: 18104 grad_norm: 4.8747 loss: 2.9627 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6353 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.3274 2023/02/02 18:00:31 - mmengine - INFO - Epoch(train) [192][ 400/1879] lr: 1.9583e-02 eta: 17:24:02 time: 0.4991 data_time: 0.0266 memory: 18104 grad_norm: 4.8201 loss: 3.0935 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7624 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.3311 2023/02/02 18:00:41 - mmengine - INFO - Epoch(train) [192][ 420/1879] lr: 1.9577e-02 eta: 17:23:52 time: 0.5144 data_time: 0.0380 memory: 18104 grad_norm: 4.8172 loss: 3.1743 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 1.8723 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.3020 2023/02/02 18:00:51 - mmengine - INFO - Epoch(train) [192][ 440/1879] lr: 1.9571e-02 eta: 17:23:43 time: 0.5274 data_time: 0.0279 memory: 18104 grad_norm: 4.7765 loss: 3.1111 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8149 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.2962 2023/02/02 18:01:02 - mmengine - INFO - Epoch(train) [192][ 460/1879] lr: 1.9565e-02 eta: 17:23:32 time: 0.5111 data_time: 0.0425 memory: 18104 grad_norm: 4.7903 loss: 3.3722 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0376 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.3346 2023/02/02 18:01:12 - mmengine - INFO - Epoch(train) [192][ 480/1879] lr: 1.9559e-02 eta: 17:23:21 time: 0.5031 data_time: 0.0316 memory: 18104 grad_norm: 4.8155 loss: 3.2177 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9047 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.3130 2023/02/02 18:01:22 - mmengine - INFO - Epoch(train) [192][ 500/1879] lr: 1.9553e-02 eta: 17:23:12 time: 0.5311 data_time: 0.0398 memory: 18104 grad_norm: 4.8459 loss: 3.0134 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6658 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.3476 2023/02/02 18:01:33 - mmengine - INFO - Epoch(train) [192][ 520/1879] lr: 1.9547e-02 eta: 17:23:01 time: 0.5115 data_time: 0.0300 memory: 18104 grad_norm: 4.9392 loss: 3.0857 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.7471 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.3386 2023/02/02 18:01:43 - mmengine - INFO - Epoch(train) [192][ 540/1879] lr: 1.9541e-02 eta: 17:22:51 time: 0.5164 data_time: 0.0393 memory: 18104 grad_norm: 4.7833 loss: 3.1560 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8659 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.2901 2023/02/02 18:01:53 - mmengine - INFO - Epoch(train) [192][ 560/1879] lr: 1.9535e-02 eta: 17:22:41 time: 0.5135 data_time: 0.0298 memory: 18104 grad_norm: 4.8428 loss: 3.2029 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.8217 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.3812 2023/02/02 18:02:04 - mmengine - INFO - Epoch(train) [192][ 580/1879] lr: 1.9529e-02 eta: 17:22:31 time: 0.5190 data_time: 0.0366 memory: 18104 grad_norm: 4.8273 loss: 3.1696 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8968 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 1.2729 2023/02/02 18:02:14 - mmengine - INFO - Epoch(train) [192][ 600/1879] lr: 1.9523e-02 eta: 17:22:21 time: 0.5211 data_time: 0.0376 memory: 18104 grad_norm: 4.8164 loss: 3.0772 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7389 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.3383 2023/02/02 18:02:25 - mmengine - INFO - Epoch(train) [192][ 620/1879] lr: 1.9517e-02 eta: 17:22:12 time: 0.5290 data_time: 0.0386 memory: 18104 grad_norm: 4.9799 loss: 3.3578 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.9858 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.3720 2023/02/02 18:02:35 - mmengine - INFO - Epoch(train) [192][ 640/1879] lr: 1.9511e-02 eta: 17:22:03 time: 0.5314 data_time: 0.0277 memory: 18104 grad_norm: 4.9087 loss: 3.1771 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8435 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.3336 2023/02/02 18:02:46 - mmengine - INFO - Epoch(train) [192][ 660/1879] lr: 1.9505e-02 eta: 17:21:52 time: 0.5173 data_time: 0.0455 memory: 18104 grad_norm: 4.8865 loss: 3.1116 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.8250 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.2866 2023/02/02 18:02:56 - mmengine - INFO - Epoch(train) [192][ 680/1879] lr: 1.9499e-02 eta: 17:21:43 time: 0.5253 data_time: 0.0293 memory: 18104 grad_norm: 4.7778 loss: 3.2669 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8886 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.3783 2023/02/02 18:03:07 - mmengine - INFO - Epoch(train) [192][ 700/1879] lr: 1.9493e-02 eta: 17:21:33 time: 0.5195 data_time: 0.0390 memory: 18104 grad_norm: 4.8467 loss: 3.0952 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.8111 top1_acc_1: 0.6118 top5_acc_1: 0.9176 loss_cls_1: 1.2841 2023/02/02 18:03:17 - mmengine - INFO - Epoch(train) [192][ 720/1879] lr: 1.9488e-02 eta: 17:21:23 time: 0.5192 data_time: 0.0293 memory: 18104 grad_norm: 4.8862 loss: 3.2305 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9143 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.3162 2023/02/02 18:03:27 - mmengine - INFO - Epoch(train) [192][ 740/1879] lr: 1.9482e-02 eta: 17:21:13 time: 0.5170 data_time: 0.0452 memory: 18104 grad_norm: 4.9298 loss: 3.3562 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 2.0238 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.3324 2023/02/02 18:03:38 - mmengine - INFO - Epoch(train) [192][ 760/1879] lr: 1.9476e-02 eta: 17:21:03 time: 0.5214 data_time: 0.0287 memory: 18104 grad_norm: 4.8705 loss: 3.1188 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8419 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.2769 2023/02/02 18:03:48 - mmengine - INFO - Epoch(train) [192][ 780/1879] lr: 1.9470e-02 eta: 17:20:53 time: 0.5269 data_time: 0.0384 memory: 18104 grad_norm: 4.8867 loss: 3.2693 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 1.9060 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.3633 2023/02/02 18:03:59 - mmengine - INFO - Epoch(train) [192][ 800/1879] lr: 1.9464e-02 eta: 17:20:43 time: 0.5175 data_time: 0.0369 memory: 18104 grad_norm: 4.9301 loss: 3.1056 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7767 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.3289 2023/02/02 18:04:09 - mmengine - INFO - Epoch(train) [192][ 820/1879] lr: 1.9458e-02 eta: 17:20:34 time: 0.5228 data_time: 0.0370 memory: 18104 grad_norm: 4.9532 loss: 3.2917 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9907 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.3009 2023/02/02 18:04:20 - mmengine - INFO - Epoch(train) [192][ 840/1879] lr: 1.9452e-02 eta: 17:20:24 time: 0.5288 data_time: 0.0302 memory: 18104 grad_norm: 4.9393 loss: 3.3085 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 2.0017 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.3069 2023/02/02 18:04:30 - mmengine - INFO - Epoch(train) [192][ 860/1879] lr: 1.9446e-02 eta: 17:20:14 time: 0.5113 data_time: 0.0385 memory: 18104 grad_norm: 4.8134 loss: 3.3087 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.9818 top1_acc_1: 0.7412 top5_acc_1: 0.9529 loss_cls_1: 1.3269 2023/02/02 18:04:41 - mmengine - INFO - Epoch(train) [192][ 880/1879] lr: 1.9440e-02 eta: 17:20:04 time: 0.5305 data_time: 0.0374 memory: 18104 grad_norm: 4.9089 loss: 3.0275 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6942 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.3333 2023/02/02 18:04:51 - mmengine - INFO - Epoch(train) [192][ 900/1879] lr: 1.9434e-02 eta: 17:19:55 time: 0.5208 data_time: 0.0365 memory: 18104 grad_norm: 4.9365 loss: 3.3188 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 2.0140 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.3047 2023/02/02 18:05:02 - mmengine - INFO - Epoch(train) [192][ 920/1879] lr: 1.9428e-02 eta: 17:19:45 time: 0.5331 data_time: 0.0282 memory: 18104 grad_norm: 4.9759 loss: 3.2104 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8443 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.3661 2023/02/02 18:05:12 - mmengine - INFO - Epoch(train) [192][ 940/1879] lr: 1.9422e-02 eta: 17:19:35 time: 0.5161 data_time: 0.0366 memory: 18104 grad_norm: 4.7667 loss: 3.0529 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7092 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.3437 2023/02/02 18:05:23 - mmengine - INFO - Epoch(train) [192][ 960/1879] lr: 1.9416e-02 eta: 17:19:26 time: 0.5304 data_time: 0.0297 memory: 18104 grad_norm: 4.9165 loss: 3.1224 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7814 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.3410 2023/02/02 18:05:34 - mmengine - INFO - Epoch(train) [192][ 980/1879] lr: 1.9410e-02 eta: 17:19:17 time: 0.5360 data_time: 0.0398 memory: 18104 grad_norm: 4.8388 loss: 3.2027 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.9205 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.2822 2023/02/02 18:05:44 - mmengine - INFO - Epoch(train) [192][1000/1879] lr: 1.9404e-02 eta: 17:19:07 time: 0.5221 data_time: 0.0297 memory: 18104 grad_norm: 4.8759 loss: 3.1830 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9044 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 1.2786 2023/02/02 18:05:55 - mmengine - INFO - Epoch(train) [192][1020/1879] lr: 1.9398e-02 eta: 17:18:57 time: 0.5206 data_time: 0.0389 memory: 18104 grad_norm: 4.8042 loss: 2.9658 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.7412 top1_acc_1: 0.6588 top5_acc_1: 0.7882 loss_cls_1: 1.2245 2023/02/02 18:06:05 - mmengine - INFO - Epoch(train) [192][1040/1879] lr: 1.9392e-02 eta: 17:18:48 time: 0.5242 data_time: 0.0297 memory: 18104 grad_norm: 4.9220 loss: 3.0447 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.6892 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.3555 2023/02/02 18:06:15 - mmengine - INFO - Epoch(train) [192][1060/1879] lr: 1.9386e-02 eta: 17:18:38 time: 0.5187 data_time: 0.0365 memory: 18104 grad_norm: 4.8798 loss: 3.1849 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.8216 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.3633 2023/02/02 18:06:26 - mmengine - INFO - Epoch(train) [192][1080/1879] lr: 1.9380e-02 eta: 17:18:28 time: 0.5241 data_time: 0.0363 memory: 18104 grad_norm: 4.9325 loss: 3.3454 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.9013 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.4441 2023/02/02 18:06:36 - mmengine - INFO - Epoch(train) [192][1100/1879] lr: 1.9374e-02 eta: 17:18:18 time: 0.5141 data_time: 0.0379 memory: 18104 grad_norm: 4.8954 loss: 3.0953 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.7937 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.3016 2023/02/02 18:06:42 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 18:06:47 - mmengine - INFO - Epoch(train) [192][1120/1879] lr: 1.9368e-02 eta: 17:18:08 time: 0.5256 data_time: 0.0292 memory: 18104 grad_norm: 4.8076 loss: 3.3915 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9422 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.4493 2023/02/02 18:06:57 - mmengine - INFO - Epoch(train) [192][1140/1879] lr: 1.9362e-02 eta: 17:17:58 time: 0.5175 data_time: 0.0453 memory: 18104 grad_norm: 5.0213 loss: 3.2976 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9982 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.2994 2023/02/02 18:07:08 - mmengine - INFO - Epoch(train) [192][1160/1879] lr: 1.9356e-02 eta: 17:17:49 time: 0.5289 data_time: 0.0303 memory: 18104 grad_norm: 4.9005 loss: 3.3728 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.9965 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.3764 2023/02/02 18:07:18 - mmengine - INFO - Epoch(train) [192][1180/1879] lr: 1.9350e-02 eta: 17:17:39 time: 0.5199 data_time: 0.0363 memory: 18104 grad_norm: 4.8455 loss: 2.9412 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7019 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2393 2023/02/02 18:07:29 - mmengine - INFO - Epoch(train) [192][1200/1879] lr: 1.9345e-02 eta: 17:17:29 time: 0.5179 data_time: 0.0307 memory: 18104 grad_norm: 4.8472 loss: 3.2451 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.8948 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.3503 2023/02/02 18:07:39 - mmengine - INFO - Epoch(train) [192][1220/1879] lr: 1.9339e-02 eta: 17:17:20 time: 0.5329 data_time: 0.0462 memory: 18104 grad_norm: 4.8823 loss: 3.3852 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9928 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.3924 2023/02/02 18:07:50 - mmengine - INFO - Epoch(train) [192][1240/1879] lr: 1.9333e-02 eta: 17:17:10 time: 0.5328 data_time: 0.0295 memory: 18104 grad_norm: 4.9191 loss: 3.2491 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.9314 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.3177 2023/02/02 18:08:00 - mmengine - INFO - Epoch(train) [192][1260/1879] lr: 1.9327e-02 eta: 17:17:00 time: 0.5156 data_time: 0.0411 memory: 18104 grad_norm: 4.8876 loss: 3.1837 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8349 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.3488 2023/02/02 18:08:11 - mmengine - INFO - Epoch(train) [192][1280/1879] lr: 1.9321e-02 eta: 17:16:51 time: 0.5371 data_time: 0.0361 memory: 18104 grad_norm: 4.9228 loss: 3.3883 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9852 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.4031 2023/02/02 18:08:21 - mmengine - INFO - Epoch(train) [192][1300/1879] lr: 1.9315e-02 eta: 17:16:42 time: 0.5234 data_time: 0.0365 memory: 18104 grad_norm: 4.8859 loss: 3.3904 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0312 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.3592 2023/02/02 18:08:32 - mmengine - INFO - Epoch(train) [192][1320/1879] lr: 1.9309e-02 eta: 17:16:32 time: 0.5236 data_time: 0.0309 memory: 18104 grad_norm: 4.8280 loss: 3.4930 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.1513 top1_acc_1: 0.6588 top5_acc_1: 0.7882 loss_cls_1: 1.3417 2023/02/02 18:08:42 - mmengine - INFO - Epoch(train) [192][1340/1879] lr: 1.9303e-02 eta: 17:16:22 time: 0.5235 data_time: 0.0441 memory: 18104 grad_norm: 4.8358 loss: 3.2323 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8558 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.3765 2023/02/02 18:08:53 - mmengine - INFO - Epoch(train) [192][1360/1879] lr: 1.9297e-02 eta: 17:16:14 time: 0.5416 data_time: 0.0300 memory: 18104 grad_norm: 4.8035 loss: 3.0457 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.7830 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 1.2627 2023/02/02 18:09:04 - mmengine - INFO - Epoch(train) [192][1380/1879] lr: 1.9291e-02 eta: 17:16:04 time: 0.5278 data_time: 0.0310 memory: 18104 grad_norm: 4.9420 loss: 3.1151 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.7932 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.3219 2023/02/02 18:09:15 - mmengine - INFO - Epoch(train) [192][1400/1879] lr: 1.9285e-02 eta: 17:15:55 time: 0.5320 data_time: 0.0415 memory: 18104 grad_norm: 4.9961 loss: 3.2426 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.8496 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.3930 2023/02/02 18:09:25 - mmengine - INFO - Epoch(train) [192][1420/1879] lr: 1.9279e-02 eta: 17:15:46 time: 0.5369 data_time: 0.0317 memory: 18104 grad_norm: 4.8200 loss: 3.4170 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.9856 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.4314 2023/02/02 18:09:36 - mmengine - INFO - Epoch(train) [192][1440/1879] lr: 1.9273e-02 eta: 17:15:37 time: 0.5383 data_time: 0.0348 memory: 18104 grad_norm: 4.9006 loss: 3.0877 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7680 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.3197 2023/02/02 18:09:47 - mmengine - INFO - Epoch(train) [192][1460/1879] lr: 1.9267e-02 eta: 17:15:29 time: 0.5375 data_time: 0.0432 memory: 18104 grad_norm: 4.8071 loss: 2.9427 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6051 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.3376 2023/02/02 18:09:58 - mmengine - INFO - Epoch(train) [192][1480/1879] lr: 1.9261e-02 eta: 17:15:20 time: 0.5366 data_time: 0.0272 memory: 18104 grad_norm: 4.8436 loss: 3.0776 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7295 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.3480 2023/02/02 18:10:08 - mmengine - INFO - Epoch(train) [192][1500/1879] lr: 1.9255e-02 eta: 17:15:11 time: 0.5329 data_time: 0.0387 memory: 18104 grad_norm: 4.8412 loss: 3.3390 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0140 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.3250 2023/02/02 18:10:19 - mmengine - INFO - Epoch(train) [192][1520/1879] lr: 1.9249e-02 eta: 17:15:02 time: 0.5432 data_time: 0.0304 memory: 18104 grad_norm: 4.7642 loss: 3.1234 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7436 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.3797 2023/02/02 18:10:30 - mmengine - INFO - Epoch(train) [192][1540/1879] lr: 1.9243e-02 eta: 17:14:53 time: 0.5397 data_time: 0.0494 memory: 18104 grad_norm: 4.8604 loss: 3.1349 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7800 top1_acc_1: 0.6824 top5_acc_1: 0.9294 loss_cls_1: 1.3549 2023/02/02 18:10:41 - mmengine - INFO - Epoch(train) [192][1560/1879] lr: 1.9238e-02 eta: 17:14:45 time: 0.5425 data_time: 0.0313 memory: 18104 grad_norm: 4.7440 loss: 3.0542 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8122 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.2419 2023/02/02 18:10:52 - mmengine - INFO - Epoch(train) [192][1580/1879] lr: 1.9232e-02 eta: 17:14:36 time: 0.5370 data_time: 0.0376 memory: 18104 grad_norm: 4.8816 loss: 3.3249 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 1.8947 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.4303 2023/02/02 18:11:02 - mmengine - INFO - Epoch(train) [192][1600/1879] lr: 1.9226e-02 eta: 17:14:27 time: 0.5380 data_time: 0.0398 memory: 18104 grad_norm: 4.9100 loss: 3.2469 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9113 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.3356 2023/02/02 18:11:13 - mmengine - INFO - Epoch(train) [192][1620/1879] lr: 1.9220e-02 eta: 17:14:18 time: 0.5292 data_time: 0.0374 memory: 18104 grad_norm: 4.9090 loss: 3.1745 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.8540 top1_acc_1: 0.6353 top5_acc_1: 0.9294 loss_cls_1: 1.3205 2023/02/02 18:11:23 - mmengine - INFO - Epoch(train) [192][1640/1879] lr: 1.9214e-02 eta: 17:14:08 time: 0.5221 data_time: 0.0289 memory: 18104 grad_norm: 4.8286 loss: 3.2557 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.8134 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.4423 2023/02/02 18:11:34 - mmengine - INFO - Epoch(train) [192][1660/1879] lr: 1.9208e-02 eta: 17:13:59 time: 0.5379 data_time: 0.0498 memory: 18104 grad_norm: 4.9104 loss: 3.2317 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.7802 top1_acc_1: 0.5647 top5_acc_1: 0.7294 loss_cls_1: 1.4515 2023/02/02 18:11:45 - mmengine - INFO - Epoch(train) [192][1680/1879] lr: 1.9202e-02 eta: 17:13:50 time: 0.5295 data_time: 0.0284 memory: 18104 grad_norm: 4.7362 loss: 3.3552 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 2.0120 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.3432 2023/02/02 18:11:56 - mmengine - INFO - Epoch(train) [192][1700/1879] lr: 1.9196e-02 eta: 17:13:41 time: 0.5337 data_time: 0.0387 memory: 18104 grad_norm: 4.8510 loss: 3.1806 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8405 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.3401 2023/02/02 18:12:07 - mmengine - INFO - Epoch(train) [192][1720/1879] lr: 1.9190e-02 eta: 17:13:33 time: 0.5512 data_time: 0.0371 memory: 18104 grad_norm: 4.9508 loss: 3.3214 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9095 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.4120 2023/02/02 18:12:17 - mmengine - INFO - Epoch(train) [192][1740/1879] lr: 1.9184e-02 eta: 17:13:24 time: 0.5437 data_time: 0.0362 memory: 18104 grad_norm: 4.8573 loss: 3.2651 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9681 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2970 2023/02/02 18:12:28 - mmengine - INFO - Epoch(train) [192][1760/1879] lr: 1.9178e-02 eta: 17:13:15 time: 0.5308 data_time: 0.0305 memory: 18104 grad_norm: 4.8509 loss: 3.0308 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7301 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.3007 2023/02/02 18:12:39 - mmengine - INFO - Epoch(train) [192][1780/1879] lr: 1.9172e-02 eta: 17:13:06 time: 0.5380 data_time: 0.0390 memory: 18104 grad_norm: 4.8639 loss: 2.9971 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.6876 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.3094 2023/02/02 18:12:50 - mmengine - INFO - Epoch(train) [192][1800/1879] lr: 1.9166e-02 eta: 17:12:57 time: 0.5284 data_time: 0.0294 memory: 18104 grad_norm: 4.9310 loss: 3.0560 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7643 top1_acc_1: 0.5882 top5_acc_1: 0.8235 loss_cls_1: 1.2918 2023/02/02 18:13:00 - mmengine - INFO - Epoch(train) [192][1820/1879] lr: 1.9160e-02 eta: 17:12:47 time: 0.5241 data_time: 0.0346 memory: 18104 grad_norm: 4.8774 loss: 3.1069 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8412 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.2657 2023/02/02 18:13:11 - mmengine - INFO - Epoch(train) [192][1840/1879] lr: 1.9154e-02 eta: 17:12:37 time: 0.5264 data_time: 0.0297 memory: 18104 grad_norm: 4.9225 loss: 3.3652 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0004 top1_acc_1: 0.6235 top5_acc_1: 0.9059 loss_cls_1: 1.3648 2023/02/02 18:13:21 - mmengine - INFO - Epoch(train) [192][1860/1879] lr: 1.9149e-02 eta: 17:12:28 time: 0.5281 data_time: 0.0373 memory: 18104 grad_norm: 4.7874 loss: 3.1526 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8144 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.3382 2023/02/02 18:13:31 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 18:13:31 - mmengine - INFO - Epoch(train) [192][1879/1879] lr: 1.9143e-02 eta: 17:12:18 time: 0.5163 data_time: 0.0344 memory: 18104 grad_norm: 5.1422 loss: 3.0523 top1_acc_0: 0.5714 top5_acc_0: 0.8571 loss_cls_0: 1.7940 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.2583 2023/02/02 18:13:31 - mmengine - INFO - Saving checkpoint at 192 epochs 2023/02/02 18:13:42 - mmengine - INFO - Epoch(val) [192][ 20/155] eta: 0:01:01 time: 0.4527 data_time: 0.3393 memory: 1900 2023/02/02 18:13:51 - mmengine - INFO - Epoch(val) [192][ 40/155] eta: 0:00:51 time: 0.4470 data_time: 0.3356 memory: 1900 2023/02/02 18:14:00 - mmengine - INFO - Epoch(val) [192][ 60/155] eta: 0:00:41 time: 0.4227 data_time: 0.3109 memory: 1900 2023/02/02 18:14:09 - mmengine - INFO - Epoch(val) [192][ 80/155] eta: 0:00:33 time: 0.4580 data_time: 0.3464 memory: 1900 2023/02/02 18:14:18 - mmengine - INFO - Epoch(val) [192][100/155] eta: 0:00:24 time: 0.4478 data_time: 0.3351 memory: 1900 2023/02/02 18:14:27 - mmengine - INFO - Epoch(val) [192][120/155] eta: 0:00:15 time: 0.4624 data_time: 0.3509 memory: 1900 2023/02/02 18:14:36 - mmengine - INFO - Epoch(val) [192][140/155] eta: 0:00:06 time: 0.4399 data_time: 0.3283 memory: 1900 2023/02/02 18:14:43 - mmengine - INFO - Epoch(val) [192][155/155] acc/top1: 0.6166 acc/top5: 0.8332 acc/mean1: 0.6165 2023/02/02 18:14:43 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_180.pth is removed 2023/02/02 18:14:46 - mmengine - INFO - The best checkpoint with 0.6166 acc/top1 at 192 epoch is saved to best_acc/top1_epoch_192.pth. 2023/02/02 18:14:59 - mmengine - INFO - Epoch(train) [193][ 20/1879] lr: 1.9137e-02 eta: 17:12:18 time: 0.6788 data_time: 0.2253 memory: 18104 grad_norm: 4.9853 loss: 3.2232 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9432 top1_acc_1: 0.6824 top5_acc_1: 0.9412 loss_cls_1: 1.2800 2023/02/02 18:15:09 - mmengine - INFO - Epoch(train) [193][ 40/1879] lr: 1.9131e-02 eta: 17:12:05 time: 0.4681 data_time: 0.0298 memory: 18104 grad_norm: 4.8236 loss: 3.0182 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7656 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.2526 2023/02/02 18:15:19 - mmengine - INFO - Epoch(train) [193][ 60/1879] lr: 1.9125e-02 eta: 17:11:54 time: 0.5057 data_time: 0.0357 memory: 18104 grad_norm: 4.8619 loss: 3.1662 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.9211 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.2451 2023/02/02 18:15:29 - mmengine - INFO - Epoch(train) [193][ 80/1879] lr: 1.9119e-02 eta: 17:11:43 time: 0.4989 data_time: 0.0395 memory: 18104 grad_norm: 4.7918 loss: 3.0306 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6886 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.3420 2023/02/02 18:15:39 - mmengine - INFO - Epoch(train) [193][ 100/1879] lr: 1.9113e-02 eta: 17:11:31 time: 0.4892 data_time: 0.0391 memory: 18104 grad_norm: 4.7762 loss: 3.0821 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8177 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.2644 2023/02/02 18:15:48 - mmengine - INFO - Epoch(train) [193][ 120/1879] lr: 1.9107e-02 eta: 17:11:18 time: 0.4715 data_time: 0.0316 memory: 18104 grad_norm: 4.9570 loss: 3.0998 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8118 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.2880 2023/02/02 18:15:59 - mmengine - INFO - Epoch(train) [193][ 140/1879] lr: 1.9101e-02 eta: 17:11:08 time: 0.5229 data_time: 0.0461 memory: 18104 grad_norm: 4.8287 loss: 3.0445 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7451 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.2995 2023/02/02 18:16:08 - mmengine - INFO - Epoch(train) [193][ 160/1879] lr: 1.9096e-02 eta: 17:10:55 time: 0.4773 data_time: 0.0330 memory: 18104 grad_norm: 4.9306 loss: 3.2138 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9616 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.2522 2023/02/02 18:16:18 - mmengine - INFO - Epoch(train) [193][ 180/1879] lr: 1.9090e-02 eta: 17:10:43 time: 0.4930 data_time: 0.0385 memory: 18104 grad_norm: 4.8075 loss: 2.9461 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.6746 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.2715 2023/02/02 18:16:28 - mmengine - INFO - Epoch(train) [193][ 200/1879] lr: 1.9084e-02 eta: 17:10:32 time: 0.4995 data_time: 0.0315 memory: 18104 grad_norm: 4.8555 loss: 3.1971 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8969 top1_acc_1: 0.7059 top5_acc_1: 0.9412 loss_cls_1: 1.3002 2023/02/02 18:16:38 - mmengine - INFO - Epoch(train) [193][ 220/1879] lr: 1.9078e-02 eta: 17:10:22 time: 0.5209 data_time: 0.0431 memory: 18104 grad_norm: 4.8809 loss: 3.3232 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.0317 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.2915 2023/02/02 18:16:44 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 18:16:48 - mmengine - INFO - Epoch(train) [193][ 240/1879] lr: 1.9072e-02 eta: 17:10:10 time: 0.4872 data_time: 0.0321 memory: 18104 grad_norm: 4.8774 loss: 3.1143 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.7728 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.3416 2023/02/02 18:16:58 - mmengine - INFO - Epoch(train) [193][ 260/1879] lr: 1.9066e-02 eta: 17:09:59 time: 0.4973 data_time: 0.0384 memory: 18104 grad_norm: 4.8630 loss: 3.3157 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0701 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.2456 2023/02/02 18:17:09 - mmengine - INFO - Epoch(train) [193][ 280/1879] lr: 1.9060e-02 eta: 17:09:49 time: 0.5242 data_time: 0.0381 memory: 18104 grad_norm: 4.8648 loss: 3.0136 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.7471 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.2665 2023/02/02 18:17:19 - mmengine - INFO - Epoch(train) [193][ 300/1879] lr: 1.9054e-02 eta: 17:09:38 time: 0.4994 data_time: 0.0363 memory: 18104 grad_norm: 4.7617 loss: 2.9731 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7400 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.2330 2023/02/02 18:17:28 - mmengine - INFO - Epoch(train) [193][ 320/1879] lr: 1.9048e-02 eta: 17:09:26 time: 0.4849 data_time: 0.0311 memory: 18104 grad_norm: 4.8917 loss: 3.2177 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.8734 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.3443 2023/02/02 18:17:39 - mmengine - INFO - Epoch(train) [193][ 340/1879] lr: 1.9042e-02 eta: 17:09:15 time: 0.5113 data_time: 0.0366 memory: 18104 grad_norm: 4.9124 loss: 2.9693 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7698 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.1996 2023/02/02 18:17:49 - mmengine - INFO - Epoch(train) [193][ 360/1879] lr: 1.9036e-02 eta: 17:09:04 time: 0.5003 data_time: 0.0399 memory: 18104 grad_norm: 4.8353 loss: 3.0939 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8446 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.2494 2023/02/02 18:17:59 - mmengine - INFO - Epoch(train) [193][ 380/1879] lr: 1.9030e-02 eta: 17:08:52 time: 0.4964 data_time: 0.0390 memory: 18104 grad_norm: 4.9267 loss: 3.1968 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8675 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.3294 2023/02/02 18:18:09 - mmengine - INFO - Epoch(train) [193][ 400/1879] lr: 1.9025e-02 eta: 17:08:41 time: 0.4961 data_time: 0.0328 memory: 18104 grad_norm: 4.9638 loss: 3.1745 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.8475 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.3270 2023/02/02 18:18:19 - mmengine - INFO - Epoch(train) [193][ 420/1879] lr: 1.9019e-02 eta: 17:08:30 time: 0.5046 data_time: 0.0373 memory: 18104 grad_norm: 4.8135 loss: 3.0499 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.8260 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.2240 2023/02/02 18:18:28 - mmengine - INFO - Epoch(train) [193][ 440/1879] lr: 1.9013e-02 eta: 17:08:17 time: 0.4789 data_time: 0.0395 memory: 18104 grad_norm: 4.8062 loss: 3.1502 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8610 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.2893 2023/02/02 18:18:38 - mmengine - INFO - Epoch(train) [193][ 460/1879] lr: 1.9007e-02 eta: 17:08:06 time: 0.4981 data_time: 0.0387 memory: 18104 grad_norm: 4.7909 loss: 3.2345 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8841 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.3504 2023/02/02 18:18:48 - mmengine - INFO - Epoch(train) [193][ 480/1879] lr: 1.9001e-02 eta: 17:07:54 time: 0.4909 data_time: 0.0315 memory: 18104 grad_norm: 4.7844 loss: 3.3098 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9699 top1_acc_1: 0.6588 top5_acc_1: 0.7882 loss_cls_1: 1.3399 2023/02/02 18:18:58 - mmengine - INFO - Epoch(train) [193][ 500/1879] lr: 1.8995e-02 eta: 17:07:42 time: 0.4911 data_time: 0.0367 memory: 18104 grad_norm: 4.9265 loss: 2.9843 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7364 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 1.2479 2023/02/02 18:19:08 - mmengine - INFO - Epoch(train) [193][ 520/1879] lr: 1.8989e-02 eta: 17:07:30 time: 0.4856 data_time: 0.0329 memory: 18104 grad_norm: 4.8595 loss: 3.1571 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8490 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.3081 2023/02/02 18:19:18 - mmengine - INFO - Epoch(train) [193][ 540/1879] lr: 1.8983e-02 eta: 17:07:20 time: 0.5087 data_time: 0.0372 memory: 18104 grad_norm: 4.8708 loss: 3.2549 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.8206 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.4342 2023/02/02 18:19:28 - mmengine - INFO - Epoch(train) [193][ 560/1879] lr: 1.8977e-02 eta: 17:07:08 time: 0.4936 data_time: 0.0347 memory: 18104 grad_norm: 4.9137 loss: 3.3222 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0692 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 1.2530 2023/02/02 18:19:38 - mmengine - INFO - Epoch(train) [193][ 580/1879] lr: 1.8971e-02 eta: 17:06:57 time: 0.4983 data_time: 0.0367 memory: 18104 grad_norm: 4.9049 loss: 3.1789 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9092 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2697 2023/02/02 18:19:48 - mmengine - INFO - Epoch(train) [193][ 600/1879] lr: 1.8965e-02 eta: 17:06:45 time: 0.4965 data_time: 0.0410 memory: 18104 grad_norm: 5.0180 loss: 3.1703 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9145 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.2558 2023/02/02 18:19:58 - mmengine - INFO - Epoch(train) [193][ 620/1879] lr: 1.8960e-02 eta: 17:06:35 time: 0.5138 data_time: 0.0352 memory: 18104 grad_norm: 4.8256 loss: 3.1519 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7652 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.3867 2023/02/02 18:20:08 - mmengine - INFO - Epoch(train) [193][ 640/1879] lr: 1.8954e-02 eta: 17:06:23 time: 0.4871 data_time: 0.0358 memory: 18104 grad_norm: 4.9056 loss: 3.0900 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7601 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.3299 2023/02/02 18:20:18 - mmengine - INFO - Epoch(train) [193][ 660/1879] lr: 1.8948e-02 eta: 17:06:12 time: 0.5154 data_time: 0.0367 memory: 18104 grad_norm: 4.8508 loss: 3.2048 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8099 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.3949 2023/02/02 18:20:28 - mmengine - INFO - Epoch(train) [193][ 680/1879] lr: 1.8942e-02 eta: 17:06:02 time: 0.5054 data_time: 0.0335 memory: 18104 grad_norm: 4.9462 loss: 3.0464 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.6989 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 1.3475 2023/02/02 18:20:38 - mmengine - INFO - Epoch(train) [193][ 700/1879] lr: 1.8936e-02 eta: 17:05:51 time: 0.5075 data_time: 0.0356 memory: 18104 grad_norm: 4.9237 loss: 3.1330 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8778 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.2552 2023/02/02 18:20:48 - mmengine - INFO - Epoch(train) [193][ 720/1879] lr: 1.8930e-02 eta: 17:05:39 time: 0.4941 data_time: 0.0341 memory: 18104 grad_norm: 4.8462 loss: 3.3145 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9427 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.3718 2023/02/02 18:20:59 - mmengine - INFO - Epoch(train) [193][ 740/1879] lr: 1.8924e-02 eta: 17:05:30 time: 0.5250 data_time: 0.0416 memory: 18104 grad_norm: 4.9532 loss: 3.4010 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.0805 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.3205 2023/02/02 18:21:09 - mmengine - INFO - Epoch(train) [193][ 760/1879] lr: 1.8918e-02 eta: 17:05:18 time: 0.4886 data_time: 0.0351 memory: 18104 grad_norm: 4.8515 loss: 2.7932 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5191 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.2741 2023/02/02 18:21:19 - mmengine - INFO - Epoch(train) [193][ 780/1879] lr: 1.8912e-02 eta: 17:05:07 time: 0.5064 data_time: 0.0365 memory: 18104 grad_norm: 4.9034 loss: 3.5257 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.1162 top1_acc_1: 0.5647 top5_acc_1: 0.8353 loss_cls_1: 1.4095 2023/02/02 18:21:29 - mmengine - INFO - Epoch(train) [193][ 800/1879] lr: 1.8906e-02 eta: 17:04:56 time: 0.5041 data_time: 0.0412 memory: 18104 grad_norm: 4.9184 loss: 3.1582 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9120 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.2462 2023/02/02 18:21:39 - mmengine - INFO - Epoch(train) [193][ 820/1879] lr: 1.8901e-02 eta: 17:04:45 time: 0.5109 data_time: 0.0346 memory: 18104 grad_norm: 4.9791 loss: 2.9043 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.5363 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.3680 2023/02/02 18:21:49 - mmengine - INFO - Epoch(train) [193][ 840/1879] lr: 1.8895e-02 eta: 17:04:34 time: 0.4921 data_time: 0.0339 memory: 18104 grad_norm: 5.0450 loss: 3.4032 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0152 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.3881 2023/02/02 18:21:59 - mmengine - INFO - Epoch(train) [193][ 860/1879] lr: 1.8889e-02 eta: 17:04:23 time: 0.5156 data_time: 0.0335 memory: 18104 grad_norm: 4.9935 loss: 3.0833 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7335 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.3498 2023/02/02 18:22:10 - mmengine - INFO - Epoch(train) [193][ 880/1879] lr: 1.8883e-02 eta: 17:04:13 time: 0.5130 data_time: 0.0356 memory: 18104 grad_norm: 4.7968 loss: 3.2918 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9598 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.3319 2023/02/02 18:22:20 - mmengine - INFO - Epoch(train) [193][ 900/1879] lr: 1.8877e-02 eta: 17:04:02 time: 0.5078 data_time: 0.0352 memory: 18104 grad_norm: 5.0135 loss: 3.1899 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.9101 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.2797 2023/02/02 18:22:30 - mmengine - INFO - Epoch(train) [193][ 920/1879] lr: 1.8871e-02 eta: 17:03:50 time: 0.4860 data_time: 0.0326 memory: 18104 grad_norm: 4.9421 loss: 3.3595 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 2.0604 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.2991 2023/02/02 18:22:40 - mmengine - INFO - Epoch(train) [193][ 940/1879] lr: 1.8865e-02 eta: 17:03:40 time: 0.5159 data_time: 0.0369 memory: 18104 grad_norm: 4.9321 loss: 3.1981 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.7968 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.4013 2023/02/02 18:22:50 - mmengine - INFO - Epoch(train) [193][ 960/1879] lr: 1.8859e-02 eta: 17:03:28 time: 0.4916 data_time: 0.0299 memory: 18104 grad_norm: 4.9926 loss: 3.0774 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8089 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.2686 2023/02/02 18:23:00 - mmengine - INFO - Epoch(train) [193][ 980/1879] lr: 1.8853e-02 eta: 17:03:19 time: 0.5264 data_time: 0.0367 memory: 18104 grad_norm: 4.9315 loss: 3.3078 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9891 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.3187 2023/02/02 18:23:10 - mmengine - INFO - Epoch(train) [193][1000/1879] lr: 1.8848e-02 eta: 17:03:07 time: 0.4952 data_time: 0.0307 memory: 18104 grad_norm: 4.8675 loss: 3.2010 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.9555 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.2455 2023/02/02 18:23:21 - mmengine - INFO - Epoch(train) [193][1020/1879] lr: 1.8842e-02 eta: 17:02:58 time: 0.5271 data_time: 0.0433 memory: 18104 grad_norm: 4.9039 loss: 3.2098 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8751 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.3347 2023/02/02 18:23:31 - mmengine - INFO - Epoch(train) [193][1040/1879] lr: 1.8836e-02 eta: 17:02:46 time: 0.4968 data_time: 0.0301 memory: 18104 grad_norm: 4.9234 loss: 3.3164 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9702 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.3462 2023/02/02 18:23:41 - mmengine - INFO - Epoch(train) [193][1060/1879] lr: 1.8830e-02 eta: 17:02:37 time: 0.5316 data_time: 0.0385 memory: 18104 grad_norm: 4.9898 loss: 3.1790 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8348 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.3442 2023/02/02 18:23:52 - mmengine - INFO - Epoch(train) [193][1080/1879] lr: 1.8824e-02 eta: 17:02:26 time: 0.5055 data_time: 0.0403 memory: 18104 grad_norm: 4.9025 loss: 3.2317 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7913 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.4403 2023/02/02 18:24:02 - mmengine - INFO - Epoch(train) [193][1100/1879] lr: 1.8818e-02 eta: 17:02:16 time: 0.5202 data_time: 0.0336 memory: 18104 grad_norm: 4.8614 loss: 3.0987 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8372 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.2615 2023/02/02 18:24:12 - mmengine - INFO - Epoch(train) [193][1120/1879] lr: 1.8812e-02 eta: 17:02:05 time: 0.5015 data_time: 0.0342 memory: 18104 grad_norm: 5.0685 loss: 3.3694 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0676 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.3019 2023/02/02 18:24:23 - mmengine - INFO - Epoch(train) [193][1140/1879] lr: 1.8806e-02 eta: 17:01:56 time: 0.5305 data_time: 0.0437 memory: 18104 grad_norm: 4.9302 loss: 3.1615 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9032 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.2583 2023/02/02 18:24:33 - mmengine - INFO - Epoch(train) [193][1160/1879] lr: 1.8800e-02 eta: 17:01:45 time: 0.5023 data_time: 0.0347 memory: 18104 grad_norm: 4.9558 loss: 3.1988 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8772 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.3216 2023/02/02 18:24:43 - mmengine - INFO - Epoch(train) [193][1180/1879] lr: 1.8795e-02 eta: 17:01:34 time: 0.5149 data_time: 0.0343 memory: 18104 grad_norm: 4.8792 loss: 3.0035 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7603 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 1.2432 2023/02/02 18:24:53 - mmengine - INFO - Epoch(train) [193][1200/1879] lr: 1.8789e-02 eta: 17:01:23 time: 0.5042 data_time: 0.0327 memory: 18104 grad_norm: 4.8739 loss: 3.2387 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9104 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.3283 2023/02/02 18:25:03 - mmengine - INFO - Epoch(train) [193][1220/1879] lr: 1.8783e-02 eta: 17:01:13 time: 0.5146 data_time: 0.0416 memory: 18104 grad_norm: 4.8556 loss: 3.1437 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.8039 top1_acc_1: 0.5412 top5_acc_1: 0.7882 loss_cls_1: 1.3398 2023/02/02 18:25:09 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 18:25:13 - mmengine - INFO - Epoch(train) [193][1240/1879] lr: 1.8777e-02 eta: 17:01:02 time: 0.4971 data_time: 0.0317 memory: 18104 grad_norm: 4.8716 loss: 3.0121 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8112 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.2009 2023/02/02 18:25:24 - mmengine - INFO - Epoch(train) [193][1260/1879] lr: 1.8771e-02 eta: 17:00:53 time: 0.5344 data_time: 0.0360 memory: 18104 grad_norm: 4.9403 loss: 3.2378 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9313 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.3065 2023/02/02 18:25:34 - mmengine - INFO - Epoch(train) [193][1280/1879] lr: 1.8765e-02 eta: 17:00:41 time: 0.4964 data_time: 0.0418 memory: 18104 grad_norm: 4.9071 loss: 3.0201 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.7353 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.2849 2023/02/02 18:25:44 - mmengine - INFO - Epoch(train) [193][1300/1879] lr: 1.8759e-02 eta: 17:00:31 time: 0.5168 data_time: 0.0354 memory: 18104 grad_norm: 5.0426 loss: 3.2757 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8731 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 1.4026 2023/02/02 18:25:54 - mmengine - INFO - Epoch(train) [193][1320/1879] lr: 1.8753e-02 eta: 17:00:20 time: 0.4988 data_time: 0.0333 memory: 18104 grad_norm: 4.9868 loss: 3.2879 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0292 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.2587 2023/02/02 18:26:05 - mmengine - INFO - Epoch(train) [193][1340/1879] lr: 1.8747e-02 eta: 17:00:10 time: 0.5210 data_time: 0.0432 memory: 18104 grad_norm: 4.9050 loss: 2.8443 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.5440 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.3004 2023/02/02 18:26:15 - mmengine - INFO - Epoch(train) [193][1360/1879] lr: 1.8742e-02 eta: 16:59:58 time: 0.4916 data_time: 0.0323 memory: 18104 grad_norm: 4.8954 loss: 3.3263 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.9780 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.3483 2023/02/02 18:26:25 - mmengine - INFO - Epoch(train) [193][1380/1879] lr: 1.8736e-02 eta: 16:59:48 time: 0.5264 data_time: 0.0332 memory: 18104 grad_norm: 4.8938 loss: 3.1095 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7575 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.3520 2023/02/02 18:26:35 - mmengine - INFO - Epoch(train) [193][1400/1879] lr: 1.8730e-02 eta: 16:59:38 time: 0.5099 data_time: 0.0318 memory: 18104 grad_norm: 4.9781 loss: 3.3401 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0835 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.2567 2023/02/02 18:26:46 - mmengine - INFO - Epoch(train) [193][1420/1879] lr: 1.8724e-02 eta: 16:59:29 time: 0.5337 data_time: 0.0414 memory: 18104 grad_norm: 4.8760 loss: 3.1168 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7551 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.3618 2023/02/02 18:26:56 - mmengine - INFO - Epoch(train) [193][1440/1879] lr: 1.8718e-02 eta: 16:59:18 time: 0.5076 data_time: 0.0325 memory: 18104 grad_norm: 5.0350 loss: 3.3487 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 2.0051 top1_acc_1: 0.7176 top5_acc_1: 0.8118 loss_cls_1: 1.3436 2023/02/02 18:27:07 - mmengine - INFO - Epoch(train) [193][1460/1879] lr: 1.8712e-02 eta: 16:59:09 time: 0.5345 data_time: 0.0340 memory: 18104 grad_norm: 4.9678 loss: 3.3153 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.9713 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.3440 2023/02/02 18:27:17 - mmengine - INFO - Epoch(train) [193][1480/1879] lr: 1.8706e-02 eta: 16:58:58 time: 0.5108 data_time: 0.0407 memory: 18104 grad_norm: 4.9255 loss: 3.3627 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9150 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.4477 2023/02/02 18:27:28 - mmengine - INFO - Epoch(train) [193][1500/1879] lr: 1.8700e-02 eta: 16:58:49 time: 0.5302 data_time: 0.0323 memory: 18104 grad_norm: 4.7577 loss: 3.1950 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.7689 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.4261 2023/02/02 18:27:38 - mmengine - INFO - Epoch(train) [193][1520/1879] lr: 1.8695e-02 eta: 16:58:39 time: 0.5155 data_time: 0.0341 memory: 18104 grad_norm: 4.9573 loss: 3.1507 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.8351 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.3156 2023/02/02 18:27:49 - mmengine - INFO - Epoch(train) [193][1540/1879] lr: 1.8689e-02 eta: 16:58:29 time: 0.5281 data_time: 0.0321 memory: 18104 grad_norm: 4.9436 loss: 3.1162 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.8211 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.2951 2023/02/02 18:27:59 - mmengine - INFO - Epoch(train) [193][1560/1879] lr: 1.8683e-02 eta: 16:58:19 time: 0.5094 data_time: 0.0339 memory: 18104 grad_norm: 4.9963 loss: 3.0927 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.7230 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.3697 2023/02/02 18:28:10 - mmengine - INFO - Epoch(train) [193][1580/1879] lr: 1.8677e-02 eta: 16:58:09 time: 0.5326 data_time: 0.0333 memory: 18104 grad_norm: 4.8632 loss: 2.9740 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6553 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.3188 2023/02/02 18:28:20 - mmengine - INFO - Epoch(train) [193][1600/1879] lr: 1.8671e-02 eta: 16:57:59 time: 0.5111 data_time: 0.0325 memory: 18104 grad_norm: 4.9094 loss: 3.2137 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9466 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.2671 2023/02/02 18:28:30 - mmengine - INFO - Epoch(train) [193][1620/1879] lr: 1.8665e-02 eta: 16:57:49 time: 0.5228 data_time: 0.0403 memory: 18104 grad_norm: 4.8448 loss: 3.0425 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7685 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.2740 2023/02/02 18:28:41 - mmengine - INFO - Epoch(train) [193][1640/1879] lr: 1.8659e-02 eta: 16:57:39 time: 0.5126 data_time: 0.0326 memory: 18104 grad_norm: 4.8953 loss: 3.2787 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9363 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.3424 2023/02/02 18:28:51 - mmengine - INFO - Epoch(train) [193][1660/1879] lr: 1.8653e-02 eta: 16:57:30 time: 0.5370 data_time: 0.0353 memory: 18104 grad_norm: 4.9206 loss: 3.5056 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.1082 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.3974 2023/02/02 18:29:02 - mmengine - INFO - Epoch(train) [193][1680/1879] lr: 1.8648e-02 eta: 16:57:19 time: 0.5149 data_time: 0.0368 memory: 18104 grad_norm: 4.9410 loss: 3.0324 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.7510 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.2814 2023/02/02 18:29:13 - mmengine - INFO - Epoch(train) [193][1700/1879] lr: 1.8642e-02 eta: 16:57:11 time: 0.5482 data_time: 0.0332 memory: 18104 grad_norm: 4.8221 loss: 3.0486 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8227 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.2259 2023/02/02 18:29:23 - mmengine - INFO - Epoch(train) [193][1720/1879] lr: 1.8636e-02 eta: 16:57:01 time: 0.5109 data_time: 0.0330 memory: 18104 grad_norm: 4.8876 loss: 3.4191 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 2.1224 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.2967 2023/02/02 18:29:34 - mmengine - INFO - Epoch(train) [193][1740/1879] lr: 1.8630e-02 eta: 16:56:51 time: 0.5298 data_time: 0.0334 memory: 18104 grad_norm: 4.9174 loss: 3.1966 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9069 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.2897 2023/02/02 18:29:44 - mmengine - INFO - Epoch(train) [193][1760/1879] lr: 1.8624e-02 eta: 16:56:41 time: 0.5142 data_time: 0.0471 memory: 18104 grad_norm: 4.9372 loss: 3.2920 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9481 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.3438 2023/02/02 18:29:54 - mmengine - INFO - Epoch(train) [193][1780/1879] lr: 1.8618e-02 eta: 16:56:31 time: 0.5253 data_time: 0.0336 memory: 18104 grad_norm: 4.8850 loss: 3.2492 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.8514 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.3979 2023/02/02 18:30:05 - mmengine - INFO - Epoch(train) [193][1800/1879] lr: 1.8612e-02 eta: 16:56:21 time: 0.5202 data_time: 0.0343 memory: 18104 grad_norm: 4.8741 loss: 3.1273 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7497 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.3776 2023/02/02 18:30:15 - mmengine - INFO - Epoch(train) [193][1820/1879] lr: 1.8607e-02 eta: 16:56:11 time: 0.5206 data_time: 0.0336 memory: 18104 grad_norm: 4.8424 loss: 2.8633 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5366 top1_acc_1: 0.5882 top5_acc_1: 0.8941 loss_cls_1: 1.3267 2023/02/02 18:30:25 - mmengine - INFO - Epoch(train) [193][1840/1879] lr: 1.8601e-02 eta: 16:56:01 time: 0.5059 data_time: 0.0333 memory: 18104 grad_norm: 4.8806 loss: 3.3268 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 2.0520 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.2747 2023/02/02 18:30:36 - mmengine - INFO - Epoch(train) [193][1860/1879] lr: 1.8595e-02 eta: 16:55:50 time: 0.5181 data_time: 0.0352 memory: 18104 grad_norm: 5.0082 loss: 3.2296 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8296 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.3999 2023/02/02 18:30:45 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 18:30:45 - mmengine - INFO - Epoch(train) [193][1879/1879] lr: 1.8589e-02 eta: 16:55:38 time: 0.4787 data_time: 0.0282 memory: 18104 grad_norm: 5.1029 loss: 3.2027 top1_acc_0: 0.4286 top5_acc_0: 0.4286 loss_cls_0: 1.8349 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.3679 2023/02/02 18:31:00 - mmengine - INFO - Epoch(train) [194][ 20/1879] lr: 1.8583e-02 eta: 16:55:40 time: 0.7124 data_time: 0.2489 memory: 18104 grad_norm: 4.9481 loss: 3.4973 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1134 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.3839 2023/02/02 18:31:09 - mmengine - INFO - Epoch(train) [194][ 40/1879] lr: 1.8578e-02 eta: 16:55:27 time: 0.4649 data_time: 0.0345 memory: 18104 grad_norm: 4.8523 loss: 3.3198 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9595 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.3603 2023/02/02 18:31:19 - mmengine - INFO - Epoch(train) [194][ 60/1879] lr: 1.8572e-02 eta: 16:55:14 time: 0.4765 data_time: 0.0332 memory: 18104 grad_norm: 4.8179 loss: 3.3738 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.0453 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.3285 2023/02/02 18:31:29 - mmengine - INFO - Epoch(train) [194][ 80/1879] lr: 1.8566e-02 eta: 16:55:04 time: 0.5143 data_time: 0.0418 memory: 18104 grad_norm: 4.8674 loss: 3.1861 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8859 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.3002 2023/02/02 18:31:39 - mmengine - INFO - Epoch(train) [194][ 100/1879] lr: 1.8560e-02 eta: 16:54:51 time: 0.4734 data_time: 0.0335 memory: 18104 grad_norm: 4.8924 loss: 3.2877 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9652 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.3225 2023/02/02 18:31:48 - mmengine - INFO - Epoch(train) [194][ 120/1879] lr: 1.8554e-02 eta: 16:54:38 time: 0.4711 data_time: 0.0359 memory: 18104 grad_norm: 5.0468 loss: 3.1584 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7539 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.4045 2023/02/02 18:31:58 - mmengine - INFO - Epoch(train) [194][ 140/1879] lr: 1.8548e-02 eta: 16:54:27 time: 0.4931 data_time: 0.0350 memory: 18104 grad_norm: 4.9203 loss: 3.1218 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8113 top1_acc_1: 0.7647 top5_acc_1: 0.8588 loss_cls_1: 1.3106 2023/02/02 18:32:08 - mmengine - INFO - Epoch(train) [194][ 160/1879] lr: 1.8542e-02 eta: 16:54:15 time: 0.4920 data_time: 0.0338 memory: 18104 grad_norm: 4.8724 loss: 3.1139 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8473 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.2666 2023/02/02 18:32:18 - mmengine - INFO - Epoch(train) [194][ 180/1879] lr: 1.8537e-02 eta: 16:54:03 time: 0.4957 data_time: 0.0430 memory: 18104 grad_norm: 4.9738 loss: 3.1526 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8190 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.3336 2023/02/02 18:32:27 - mmengine - INFO - Epoch(train) [194][ 200/1879] lr: 1.8531e-02 eta: 16:53:52 time: 0.4887 data_time: 0.0322 memory: 18104 grad_norm: 4.9105 loss: 3.0405 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.7092 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.3313 2023/02/02 18:32:38 - mmengine - INFO - Epoch(train) [194][ 220/1879] lr: 1.8525e-02 eta: 16:53:42 time: 0.5231 data_time: 0.0335 memory: 18104 grad_norm: 4.8377 loss: 3.0797 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7517 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.3280 2023/02/02 18:32:48 - mmengine - INFO - Epoch(train) [194][ 240/1879] lr: 1.8519e-02 eta: 16:53:31 time: 0.5019 data_time: 0.0331 memory: 18104 grad_norm: 4.8280 loss: 3.0570 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.7593 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.2977 2023/02/02 18:32:58 - mmengine - INFO - Epoch(train) [194][ 260/1879] lr: 1.8513e-02 eta: 16:53:19 time: 0.4947 data_time: 0.0401 memory: 18104 grad_norm: 4.8743 loss: 3.1103 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8325 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.2778 2023/02/02 18:33:08 - mmengine - INFO - Epoch(train) [194][ 280/1879] lr: 1.8507e-02 eta: 16:53:08 time: 0.4975 data_time: 0.0332 memory: 18104 grad_norm: 4.8104 loss: 2.8480 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.6558 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.1922 2023/02/02 18:33:18 - mmengine - INFO - Epoch(train) [194][ 300/1879] lr: 1.8501e-02 eta: 16:52:58 time: 0.5138 data_time: 0.0341 memory: 18104 grad_norm: 4.8300 loss: 3.1926 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9682 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.2244 2023/02/02 18:33:28 - mmengine - INFO - Epoch(train) [194][ 320/1879] lr: 1.8496e-02 eta: 16:52:46 time: 0.4953 data_time: 0.0374 memory: 18104 grad_norm: 4.8599 loss: 3.1830 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.9592 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.2238 2023/02/02 18:33:38 - mmengine - INFO - Epoch(train) [194][ 340/1879] lr: 1.8490e-02 eta: 16:52:36 time: 0.5169 data_time: 0.0415 memory: 18104 grad_norm: 4.8687 loss: 3.0421 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.7176 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.3245 2023/02/02 18:33:45 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 18:33:49 - mmengine - INFO - Epoch(train) [194][ 360/1879] lr: 1.8484e-02 eta: 16:52:25 time: 0.5049 data_time: 0.0329 memory: 18104 grad_norm: 4.8915 loss: 3.2885 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.0677 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2209 2023/02/02 18:33:59 - mmengine - INFO - Epoch(train) [194][ 380/1879] lr: 1.8478e-02 eta: 16:52:15 time: 0.5122 data_time: 0.0339 memory: 18104 grad_norm: 4.8999 loss: 3.1783 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8946 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.2837 2023/02/02 18:34:09 - mmengine - INFO - Epoch(train) [194][ 400/1879] lr: 1.8472e-02 eta: 16:52:04 time: 0.5046 data_time: 0.0330 memory: 18104 grad_norm: 4.9025 loss: 3.0975 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.8176 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.2799 2023/02/02 18:34:19 - mmengine - INFO - Epoch(train) [194][ 420/1879] lr: 1.8466e-02 eta: 16:51:53 time: 0.5137 data_time: 0.0345 memory: 18104 grad_norm: 4.9733 loss: 3.1583 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8711 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.2873 2023/02/02 18:34:30 - mmengine - INFO - Epoch(train) [194][ 440/1879] lr: 1.8461e-02 eta: 16:51:43 time: 0.5199 data_time: 0.0404 memory: 18104 grad_norm: 4.9238 loss: 2.9384 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6347 top1_acc_1: 0.6588 top5_acc_1: 0.7882 loss_cls_1: 1.3036 2023/02/02 18:34:40 - mmengine - INFO - Epoch(train) [194][ 460/1879] lr: 1.8455e-02 eta: 16:51:33 time: 0.5087 data_time: 0.0320 memory: 18104 grad_norm: 4.8812 loss: 3.1581 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8460 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.3121 2023/02/02 18:34:50 - mmengine - INFO - Epoch(train) [194][ 480/1879] lr: 1.8449e-02 eta: 16:51:23 time: 0.5167 data_time: 0.0326 memory: 18104 grad_norm: 4.9550 loss: 2.9572 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.6866 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.2705 2023/02/02 18:35:00 - mmengine - INFO - Epoch(train) [194][ 500/1879] lr: 1.8443e-02 eta: 16:51:12 time: 0.5094 data_time: 0.0328 memory: 18104 grad_norm: 4.8242 loss: 3.2487 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.9717 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.2770 2023/02/02 18:35:11 - mmengine - INFO - Epoch(train) [194][ 520/1879] lr: 1.8437e-02 eta: 16:51:02 time: 0.5155 data_time: 0.0417 memory: 18104 grad_norm: 4.8529 loss: 2.9335 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.7080 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.2255 2023/02/02 18:35:21 - mmengine - INFO - Epoch(train) [194][ 540/1879] lr: 1.8431e-02 eta: 16:50:51 time: 0.5090 data_time: 0.0335 memory: 18104 grad_norm: 4.9572 loss: 3.1277 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 1.8078 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 1.3198 2023/02/02 18:35:31 - mmengine - INFO - Epoch(train) [194][ 560/1879] lr: 1.8426e-02 eta: 16:50:41 time: 0.5237 data_time: 0.0345 memory: 18104 grad_norm: 4.9075 loss: 3.1562 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8260 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.3303 2023/02/02 18:35:42 - mmengine - INFO - Epoch(train) [194][ 580/1879] lr: 1.8420e-02 eta: 16:50:30 time: 0.5013 data_time: 0.0328 memory: 18104 grad_norm: 4.8171 loss: 3.1918 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8316 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.3602 2023/02/02 18:35:52 - mmengine - INFO - Epoch(train) [194][ 600/1879] lr: 1.8414e-02 eta: 16:50:20 time: 0.5126 data_time: 0.0335 memory: 18104 grad_norm: 4.9183 loss: 3.2288 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.9635 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.2654 2023/02/02 18:36:02 - mmengine - INFO - Epoch(train) [194][ 620/1879] lr: 1.8408e-02 eta: 16:50:10 time: 0.5207 data_time: 0.0395 memory: 18104 grad_norm: 4.8763 loss: 2.9510 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5524 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.3986 2023/02/02 18:36:12 - mmengine - INFO - Epoch(train) [194][ 640/1879] lr: 1.8402e-02 eta: 16:49:59 time: 0.5110 data_time: 0.0334 memory: 18104 grad_norm: 5.0702 loss: 3.0729 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7920 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.2809 2023/02/02 18:36:23 - mmengine - INFO - Epoch(train) [194][ 660/1879] lr: 1.8396e-02 eta: 16:49:49 time: 0.5079 data_time: 0.0346 memory: 18104 grad_norm: 4.9031 loss: 3.2119 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8708 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.3411 2023/02/02 18:36:33 - mmengine - INFO - Epoch(train) [194][ 680/1879] lr: 1.8390e-02 eta: 16:49:38 time: 0.5099 data_time: 0.0330 memory: 18104 grad_norm: 4.9729 loss: 3.1169 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.7632 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.3537 2023/02/02 18:36:43 - mmengine - INFO - Epoch(train) [194][ 700/1879] lr: 1.8385e-02 eta: 16:49:27 time: 0.5093 data_time: 0.0403 memory: 18104 grad_norm: 5.0693 loss: 3.2019 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.8178 top1_acc_1: 0.8000 top5_acc_1: 0.8824 loss_cls_1: 1.3841 2023/02/02 18:36:53 - mmengine - INFO - Epoch(train) [194][ 720/1879] lr: 1.8379e-02 eta: 16:49:17 time: 0.5090 data_time: 0.0334 memory: 18104 grad_norm: 5.0572 loss: 3.1022 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.8024 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.2998 2023/02/02 18:37:03 - mmengine - INFO - Epoch(train) [194][ 740/1879] lr: 1.8373e-02 eta: 16:49:06 time: 0.5022 data_time: 0.0339 memory: 18104 grad_norm: 4.9985 loss: 3.2822 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9760 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.3061 2023/02/02 18:37:14 - mmengine - INFO - Epoch(train) [194][ 760/1879] lr: 1.8367e-02 eta: 16:48:55 time: 0.5080 data_time: 0.0318 memory: 18104 grad_norm: 4.9787 loss: 3.2380 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8456 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.3924 2023/02/02 18:37:24 - mmengine - INFO - Epoch(train) [194][ 780/1879] lr: 1.8361e-02 eta: 16:48:45 time: 0.5164 data_time: 0.0405 memory: 18104 grad_norm: 4.9359 loss: 3.0999 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7296 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.3703 2023/02/02 18:37:34 - mmengine - INFO - Epoch(train) [194][ 800/1879] lr: 1.8355e-02 eta: 16:48:34 time: 0.5010 data_time: 0.0339 memory: 18104 grad_norm: 4.9213 loss: 3.1189 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8052 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.3137 2023/02/02 18:37:44 - mmengine - INFO - Epoch(train) [194][ 820/1879] lr: 1.8350e-02 eta: 16:48:23 time: 0.5082 data_time: 0.0337 memory: 18104 grad_norm: 4.9262 loss: 3.0796 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.8192 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.2604 2023/02/02 18:37:54 - mmengine - INFO - Epoch(train) [194][ 840/1879] lr: 1.8344e-02 eta: 16:48:12 time: 0.5076 data_time: 0.0358 memory: 18104 grad_norm: 4.9543 loss: 3.1153 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7677 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.3477 2023/02/02 18:38:04 - mmengine - INFO - Epoch(train) [194][ 860/1879] lr: 1.8338e-02 eta: 16:48:02 time: 0.5046 data_time: 0.0343 memory: 18104 grad_norm: 4.9276 loss: 3.2689 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9706 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 1.2983 2023/02/02 18:38:15 - mmengine - INFO - Epoch(train) [194][ 880/1879] lr: 1.8332e-02 eta: 16:47:51 time: 0.5126 data_time: 0.0435 memory: 18104 grad_norm: 4.8705 loss: 3.2311 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.9097 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.3215 2023/02/02 18:38:25 - mmengine - INFO - Epoch(train) [194][ 900/1879] lr: 1.8326e-02 eta: 16:47:41 time: 0.5137 data_time: 0.0352 memory: 18104 grad_norm: 4.9123 loss: 3.2316 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8692 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.3623 2023/02/02 18:38:35 - mmengine - INFO - Epoch(train) [194][ 920/1879] lr: 1.8321e-02 eta: 16:47:30 time: 0.5067 data_time: 0.0330 memory: 18104 grad_norm: 4.8616 loss: 3.1016 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8452 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.2563 2023/02/02 18:38:45 - mmengine - INFO - Epoch(train) [194][ 940/1879] lr: 1.8315e-02 eta: 16:47:19 time: 0.5009 data_time: 0.0375 memory: 18104 grad_norm: 5.0110 loss: 3.2106 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8263 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.3843 2023/02/02 18:38:56 - mmengine - INFO - Epoch(train) [194][ 960/1879] lr: 1.8309e-02 eta: 16:47:09 time: 0.5206 data_time: 0.0396 memory: 18104 grad_norm: 5.0074 loss: 3.2563 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9316 top1_acc_1: 0.6353 top5_acc_1: 0.9412 loss_cls_1: 1.3248 2023/02/02 18:39:06 - mmengine - INFO - Epoch(train) [194][ 980/1879] lr: 1.8303e-02 eta: 16:46:58 time: 0.5078 data_time: 0.0345 memory: 18104 grad_norm: 5.1205 loss: 3.2319 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8875 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.3444 2023/02/02 18:39:16 - mmengine - INFO - Epoch(train) [194][1000/1879] lr: 1.8297e-02 eta: 16:46:47 time: 0.5028 data_time: 0.0335 memory: 18104 grad_norm: 4.9227 loss: 3.1492 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8066 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.3425 2023/02/02 18:39:26 - mmengine - INFO - Epoch(train) [194][1020/1879] lr: 1.8291e-02 eta: 16:46:37 time: 0.5166 data_time: 0.0338 memory: 18104 grad_norm: 4.9843 loss: 3.2878 top1_acc_0: 0.1875 top5_acc_0: 0.8125 loss_cls_0: 1.9875 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.3003 2023/02/02 18:39:36 - mmengine - INFO - Epoch(train) [194][1040/1879] lr: 1.8286e-02 eta: 16:46:26 time: 0.5047 data_time: 0.0353 memory: 18104 grad_norm: 4.9044 loss: 3.0270 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.6924 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.3346 2023/02/02 18:39:47 - mmengine - INFO - Epoch(train) [194][1060/1879] lr: 1.8280e-02 eta: 16:46:16 time: 0.5102 data_time: 0.0402 memory: 18104 grad_norm: 4.9136 loss: 3.0910 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7578 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.3332 2023/02/02 18:39:57 - mmengine - INFO - Epoch(train) [194][1080/1879] lr: 1.8274e-02 eta: 16:46:05 time: 0.5073 data_time: 0.0345 memory: 18104 grad_norm: 4.9272 loss: 3.1962 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.8676 top1_acc_1: 0.7529 top5_acc_1: 0.8588 loss_cls_1: 1.3287 2023/02/02 18:40:07 - mmengine - INFO - Epoch(train) [194][1100/1879] lr: 1.8268e-02 eta: 16:45:55 time: 0.5116 data_time: 0.0331 memory: 18104 grad_norm: 5.0974 loss: 3.0664 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8436 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.2228 2023/02/02 18:40:17 - mmengine - INFO - Epoch(train) [194][1120/1879] lr: 1.8262e-02 eta: 16:45:44 time: 0.5135 data_time: 0.0345 memory: 18104 grad_norm: 4.9272 loss: 3.1503 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.8369 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 1.3134 2023/02/02 18:40:27 - mmengine - INFO - Epoch(train) [194][1140/1879] lr: 1.8256e-02 eta: 16:45:33 time: 0.5068 data_time: 0.0331 memory: 18104 grad_norm: 5.0342 loss: 3.2447 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8476 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.3970 2023/02/02 18:40:38 - mmengine - INFO - Epoch(train) [194][1160/1879] lr: 1.8251e-02 eta: 16:45:23 time: 0.5152 data_time: 0.0340 memory: 18104 grad_norm: 4.8949 loss: 3.1522 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7800 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.3721 2023/02/02 18:40:48 - mmengine - INFO - Epoch(train) [194][1180/1879] lr: 1.8245e-02 eta: 16:45:13 time: 0.5132 data_time: 0.0319 memory: 18104 grad_norm: 4.8943 loss: 3.1259 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.8065 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.3194 2023/02/02 18:40:58 - mmengine - INFO - Epoch(train) [194][1200/1879] lr: 1.8239e-02 eta: 16:45:03 time: 0.5177 data_time: 0.0353 memory: 18104 grad_norm: 4.9531 loss: 3.2407 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8396 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.4011 2023/02/02 18:41:09 - mmengine - INFO - Epoch(train) [194][1220/1879] lr: 1.8233e-02 eta: 16:44:52 time: 0.5160 data_time: 0.0337 memory: 18104 grad_norm: 5.0357 loss: 3.0178 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6734 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.3444 2023/02/02 18:41:19 - mmengine - INFO - Epoch(train) [194][1240/1879] lr: 1.8227e-02 eta: 16:44:43 time: 0.5203 data_time: 0.0329 memory: 18104 grad_norm: 4.9407 loss: 3.1596 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8311 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.3285 2023/02/02 18:41:29 - mmengine - INFO - Epoch(train) [194][1260/1879] lr: 1.8222e-02 eta: 16:44:32 time: 0.5126 data_time: 0.0322 memory: 18104 grad_norm: 4.9006 loss: 3.1253 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8567 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.2686 2023/02/02 18:41:40 - mmengine - INFO - Epoch(train) [194][1280/1879] lr: 1.8216e-02 eta: 16:44:22 time: 0.5225 data_time: 0.0334 memory: 18104 grad_norm: 5.0072 loss: 3.2024 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8581 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.3443 2023/02/02 18:41:50 - mmengine - INFO - Epoch(train) [194][1300/1879] lr: 1.8210e-02 eta: 16:44:13 time: 0.5243 data_time: 0.0333 memory: 18104 grad_norm: 5.0121 loss: 3.4078 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.1219 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.2859 2023/02/02 18:42:01 - mmengine - INFO - Epoch(train) [194][1320/1879] lr: 1.8204e-02 eta: 16:44:02 time: 0.5054 data_time: 0.0320 memory: 18104 grad_norm: 4.9836 loss: 3.1770 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.8430 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 1.3340 2023/02/02 18:42:11 - mmengine - INFO - Epoch(train) [194][1340/1879] lr: 1.8198e-02 eta: 16:43:53 time: 0.5372 data_time: 0.0342 memory: 18104 grad_norm: 4.9705 loss: 3.0293 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7144 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.3150 2023/02/02 18:42:18 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 18:42:22 - mmengine - INFO - Epoch(train) [194][1360/1879] lr: 1.8192e-02 eta: 16:43:42 time: 0.5088 data_time: 0.0323 memory: 18104 grad_norm: 4.9625 loss: 2.9159 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 1.6077 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.3082 2023/02/02 18:42:32 - mmengine - INFO - Epoch(train) [194][1380/1879] lr: 1.8187e-02 eta: 16:43:32 time: 0.5165 data_time: 0.0333 memory: 18104 grad_norm: 4.8891 loss: 3.2381 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.8767 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.3613 2023/02/02 18:42:42 - mmengine - INFO - Epoch(train) [194][1400/1879] lr: 1.8181e-02 eta: 16:43:22 time: 0.5231 data_time: 0.0336 memory: 18104 grad_norm: 4.9798 loss: 3.3307 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0094 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.3213 2023/02/02 18:42:53 - mmengine - INFO - Epoch(train) [194][1420/1879] lr: 1.8175e-02 eta: 16:43:12 time: 0.5241 data_time: 0.0398 memory: 18104 grad_norm: 4.8486 loss: 3.0384 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.7089 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.3295 2023/02/02 18:43:03 - mmengine - INFO - Epoch(train) [194][1440/1879] lr: 1.8169e-02 eta: 16:43:02 time: 0.5117 data_time: 0.0329 memory: 18104 grad_norm: 4.8060 loss: 3.1913 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8394 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.3518 2023/02/02 18:43:13 - mmengine - INFO - Epoch(train) [194][1460/1879] lr: 1.8163e-02 eta: 16:42:51 time: 0.5060 data_time: 0.0337 memory: 18104 grad_norm: 4.8464 loss: 3.2191 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.8438 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.3753 2023/02/02 18:43:24 - mmengine - INFO - Epoch(train) [194][1480/1879] lr: 1.8158e-02 eta: 16:42:41 time: 0.5267 data_time: 0.0336 memory: 18104 grad_norm: 5.0513 loss: 3.3149 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9889 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.3260 2023/02/02 18:43:34 - mmengine - INFO - Epoch(train) [194][1500/1879] lr: 1.8152e-02 eta: 16:42:31 time: 0.5193 data_time: 0.0402 memory: 18104 grad_norm: 4.8256 loss: 3.0903 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7534 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.3369 2023/02/02 18:43:44 - mmengine - INFO - Epoch(train) [194][1520/1879] lr: 1.8146e-02 eta: 16:42:20 time: 0.5001 data_time: 0.0328 memory: 18104 grad_norm: 5.0849 loss: 3.3289 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9559 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.3730 2023/02/02 18:43:55 - mmengine - INFO - Epoch(train) [194][1540/1879] lr: 1.8140e-02 eta: 16:42:10 time: 0.5131 data_time: 0.0332 memory: 18104 grad_norm: 5.0013 loss: 3.3157 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9530 top1_acc_1: 0.6941 top5_acc_1: 0.8118 loss_cls_1: 1.3627 2023/02/02 18:44:05 - mmengine - INFO - Epoch(train) [194][1560/1879] lr: 1.8134e-02 eta: 16:42:00 time: 0.5227 data_time: 0.0329 memory: 18104 grad_norm: 4.9529 loss: 3.0190 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6865 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.3326 2023/02/02 18:44:15 - mmengine - INFO - Epoch(train) [194][1580/1879] lr: 1.8129e-02 eta: 16:41:50 time: 0.5174 data_time: 0.0410 memory: 18104 grad_norm: 4.9630 loss: 3.2812 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9574 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.3238 2023/02/02 18:44:26 - mmengine - INFO - Epoch(train) [194][1600/1879] lr: 1.8123e-02 eta: 16:41:40 time: 0.5137 data_time: 0.0345 memory: 18104 grad_norm: 4.9790 loss: 3.2440 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9124 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.3316 2023/02/02 18:44:36 - mmengine - INFO - Epoch(train) [194][1620/1879] lr: 1.8117e-02 eta: 16:41:29 time: 0.5156 data_time: 0.0319 memory: 18104 grad_norm: 4.8910 loss: 3.1272 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8228 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.3044 2023/02/02 18:44:46 - mmengine - INFO - Epoch(train) [194][1640/1879] lr: 1.8111e-02 eta: 16:41:19 time: 0.5103 data_time: 0.0331 memory: 18104 grad_norm: 5.0176 loss: 2.8874 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6625 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.2249 2023/02/02 18:44:56 - mmengine - INFO - Epoch(train) [194][1660/1879] lr: 1.8105e-02 eta: 16:41:08 time: 0.5048 data_time: 0.0348 memory: 18104 grad_norm: 4.9575 loss: 3.2788 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.9094 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.3695 2023/02/02 18:45:07 - mmengine - INFO - Epoch(train) [194][1680/1879] lr: 1.8100e-02 eta: 16:40:58 time: 0.5118 data_time: 0.0342 memory: 18104 grad_norm: 5.0484 loss: 3.2543 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.8613 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.3930 2023/02/02 18:45:17 - mmengine - INFO - Epoch(train) [194][1700/1879] lr: 1.8094e-02 eta: 16:40:48 time: 0.5344 data_time: 0.0328 memory: 18104 grad_norm: 4.8965 loss: 3.1112 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8737 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.2375 2023/02/02 18:45:28 - mmengine - INFO - Epoch(train) [194][1720/1879] lr: 1.8088e-02 eta: 16:40:38 time: 0.5199 data_time: 0.0319 memory: 18104 grad_norm: 5.0572 loss: 3.2729 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9847 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.2882 2023/02/02 18:45:38 - mmengine - INFO - Epoch(train) [194][1740/1879] lr: 1.8082e-02 eta: 16:40:28 time: 0.5176 data_time: 0.0330 memory: 18104 grad_norm: 5.0388 loss: 3.3768 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 2.1274 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.2493 2023/02/02 18:45:49 - mmengine - INFO - Epoch(train) [194][1760/1879] lr: 1.8076e-02 eta: 16:40:19 time: 0.5299 data_time: 0.0402 memory: 18104 grad_norm: 4.9188 loss: 3.3348 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9499 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.3849 2023/02/02 18:45:59 - mmengine - INFO - Epoch(train) [194][1780/1879] lr: 1.8071e-02 eta: 16:40:09 time: 0.5238 data_time: 0.0340 memory: 18104 grad_norm: 4.9646 loss: 3.2748 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8846 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.3902 2023/02/02 18:46:09 - mmengine - INFO - Epoch(train) [194][1800/1879] lr: 1.8065e-02 eta: 16:39:58 time: 0.5088 data_time: 0.0336 memory: 18104 grad_norm: 4.9862 loss: 2.9768 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.7144 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.2624 2023/02/02 18:46:20 - mmengine - INFO - Epoch(train) [194][1820/1879] lr: 1.8059e-02 eta: 16:39:49 time: 0.5244 data_time: 0.0327 memory: 18104 grad_norm: 5.0530 loss: 3.0163 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6480 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.3683 2023/02/02 18:46:30 - mmengine - INFO - Epoch(train) [194][1840/1879] lr: 1.8053e-02 eta: 16:39:38 time: 0.5161 data_time: 0.0326 memory: 18104 grad_norm: 4.9140 loss: 3.2111 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 1.8014 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.4096 2023/02/02 18:46:41 - mmengine - INFO - Epoch(train) [194][1860/1879] lr: 1.8047e-02 eta: 16:39:29 time: 0.5232 data_time: 0.0410 memory: 18104 grad_norm: 4.8786 loss: 3.1431 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8170 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.3261 2023/02/02 18:46:50 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 18:46:50 - mmengine - INFO - Epoch(train) [194][1879/1879] lr: 1.8042e-02 eta: 16:39:17 time: 0.4926 data_time: 0.0297 memory: 18104 grad_norm: 5.2051 loss: 3.2852 top1_acc_0: 0.4286 top5_acc_0: 0.8571 loss_cls_0: 1.8773 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.4079 2023/02/02 18:47:05 - mmengine - INFO - Epoch(train) [195][ 20/1879] lr: 1.8036e-02 eta: 16:39:19 time: 0.7203 data_time: 0.2545 memory: 18104 grad_norm: 5.0252 loss: 3.1814 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 1.8919 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.2896 2023/02/02 18:47:15 - mmengine - INFO - Epoch(train) [195][ 40/1879] lr: 1.8030e-02 eta: 16:39:06 time: 0.4753 data_time: 0.0309 memory: 18104 grad_norm: 4.9251 loss: 3.0461 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7945 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.2515 2023/02/02 18:47:24 - mmengine - INFO - Epoch(train) [195][ 60/1879] lr: 1.8025e-02 eta: 16:38:54 time: 0.4846 data_time: 0.0383 memory: 18104 grad_norm: 4.9872 loss: 2.9574 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7602 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.1972 2023/02/02 18:47:35 - mmengine - INFO - Epoch(train) [195][ 80/1879] lr: 1.8019e-02 eta: 16:38:45 time: 0.5338 data_time: 0.0392 memory: 18104 grad_norm: 4.8274 loss: 3.0320 top1_acc_0: 0.2500 top5_acc_0: 0.6875 loss_cls_0: 1.7890 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.2429 2023/02/02 18:47:45 - mmengine - INFO - Epoch(train) [195][ 100/1879] lr: 1.8013e-02 eta: 16:38:33 time: 0.4917 data_time: 0.0351 memory: 18104 grad_norm: 4.9128 loss: 3.0827 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 1.8588 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.2238 2023/02/02 18:47:55 - mmengine - INFO - Epoch(train) [195][ 120/1879] lr: 1.8007e-02 eta: 16:38:22 time: 0.4930 data_time: 0.0320 memory: 18104 grad_norm: 4.9183 loss: 2.8198 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5497 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.2701 2023/02/02 18:48:05 - mmengine - INFO - Epoch(train) [195][ 140/1879] lr: 1.8001e-02 eta: 16:38:11 time: 0.5098 data_time: 0.0357 memory: 18104 grad_norm: 4.8671 loss: 3.1347 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8501 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.2845 2023/02/02 18:48:15 - mmengine - INFO - Epoch(train) [195][ 160/1879] lr: 1.7996e-02 eta: 16:38:01 time: 0.5052 data_time: 0.0393 memory: 18104 grad_norm: 4.9420 loss: 3.2921 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9818 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 1.3103 2023/02/02 18:48:25 - mmengine - INFO - Epoch(train) [195][ 180/1879] lr: 1.7990e-02 eta: 16:37:49 time: 0.4968 data_time: 0.0378 memory: 18104 grad_norm: 5.0968 loss: 3.1378 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8121 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.3257 2023/02/02 18:48:35 - mmengine - INFO - Epoch(train) [195][ 200/1879] lr: 1.7984e-02 eta: 16:37:38 time: 0.4970 data_time: 0.0321 memory: 18104 grad_norm: 4.9602 loss: 3.1515 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7996 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.3519 2023/02/02 18:48:45 - mmengine - INFO - Epoch(train) [195][ 220/1879] lr: 1.7978e-02 eta: 16:37:28 time: 0.5121 data_time: 0.0377 memory: 18104 grad_norm: 4.8419 loss: 3.2004 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9406 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.2598 2023/02/02 18:48:55 - mmengine - INFO - Epoch(train) [195][ 240/1879] lr: 1.7972e-02 eta: 16:37:16 time: 0.4992 data_time: 0.0378 memory: 18104 grad_norm: 4.9685 loss: 3.0457 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7746 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.2711 2023/02/02 18:49:05 - mmengine - INFO - Epoch(train) [195][ 260/1879] lr: 1.7967e-02 eta: 16:37:06 time: 0.5103 data_time: 0.0388 memory: 18104 grad_norm: 5.0167 loss: 3.2688 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9809 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.2879 2023/02/02 18:49:15 - mmengine - INFO - Epoch(train) [195][ 280/1879] lr: 1.7961e-02 eta: 16:36:55 time: 0.4980 data_time: 0.0336 memory: 18104 grad_norm: 4.9896 loss: 3.0125 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6968 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.3157 2023/02/02 18:49:26 - mmengine - INFO - Epoch(train) [195][ 300/1879] lr: 1.7955e-02 eta: 16:36:44 time: 0.5024 data_time: 0.0377 memory: 18104 grad_norm: 4.8831 loss: 2.8991 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6055 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.2936 2023/02/02 18:49:35 - mmengine - INFO - Epoch(train) [195][ 320/1879] lr: 1.7949e-02 eta: 16:36:32 time: 0.4893 data_time: 0.0328 memory: 18104 grad_norm: 4.8541 loss: 3.0200 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7315 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.2885 2023/02/02 18:49:45 - mmengine - INFO - Epoch(train) [195][ 340/1879] lr: 1.7944e-02 eta: 16:36:21 time: 0.5015 data_time: 0.0363 memory: 18104 grad_norm: 4.9227 loss: 3.1706 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.8074 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.3632 2023/02/02 18:49:55 - mmengine - INFO - Epoch(train) [195][ 360/1879] lr: 1.7938e-02 eta: 16:36:09 time: 0.4913 data_time: 0.0317 memory: 18104 grad_norm: 5.0518 loss: 3.1575 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.8540 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.3036 2023/02/02 18:50:05 - mmengine - INFO - Epoch(train) [195][ 380/1879] lr: 1.7932e-02 eta: 16:35:58 time: 0.5015 data_time: 0.0383 memory: 18104 grad_norm: 5.1442 loss: 3.0867 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.7556 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.3311 2023/02/02 18:50:15 - mmengine - INFO - Epoch(train) [195][ 400/1879] lr: 1.7926e-02 eta: 16:35:47 time: 0.4891 data_time: 0.0397 memory: 18104 grad_norm: 5.0000 loss: 2.9119 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.6899 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.2220 2023/02/02 18:50:25 - mmengine - INFO - Epoch(train) [195][ 420/1879] lr: 1.7920e-02 eta: 16:35:35 time: 0.4984 data_time: 0.0385 memory: 18104 grad_norm: 4.9425 loss: 2.9770 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6789 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.2981 2023/02/02 18:50:35 - mmengine - INFO - Epoch(train) [195][ 440/1879] lr: 1.7915e-02 eta: 16:35:24 time: 0.5039 data_time: 0.0306 memory: 18104 grad_norm: 4.8976 loss: 3.2729 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9393 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.3336 2023/02/02 18:50:45 - mmengine - INFO - Epoch(train) [195][ 460/1879] lr: 1.7909e-02 eta: 16:35:14 time: 0.5099 data_time: 0.0453 memory: 18104 grad_norm: 5.0004 loss: 3.0276 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.8752 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.1524 2023/02/02 18:50:52 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 18:50:55 - mmengine - INFO - Epoch(train) [195][ 480/1879] lr: 1.7903e-02 eta: 16:35:03 time: 0.5035 data_time: 0.0298 memory: 18104 grad_norm: 4.8460 loss: 3.0652 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.7911 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.2741 2023/02/02 18:51:06 - mmengine - INFO - Epoch(train) [195][ 500/1879] lr: 1.7897e-02 eta: 16:34:54 time: 0.5295 data_time: 0.0388 memory: 18104 grad_norm: 5.0816 loss: 3.0448 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7362 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.3086 2023/02/02 18:51:16 - mmengine - INFO - Epoch(train) [195][ 520/1879] lr: 1.7892e-02 eta: 16:34:43 time: 0.5053 data_time: 0.0309 memory: 18104 grad_norm: 5.1568 loss: 3.1893 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8432 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.3461 2023/02/02 18:51:27 - mmengine - INFO - Epoch(train) [195][ 540/1879] lr: 1.7886e-02 eta: 16:34:33 time: 0.5198 data_time: 0.0437 memory: 18104 grad_norm: 5.0429 loss: 3.0308 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.6871 top1_acc_1: 0.5882 top5_acc_1: 0.8118 loss_cls_1: 1.3438 2023/02/02 18:51:37 - mmengine - INFO - Epoch(train) [195][ 560/1879] lr: 1.7880e-02 eta: 16:34:22 time: 0.5008 data_time: 0.0306 memory: 18104 grad_norm: 5.0878 loss: 3.1725 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9062 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.2663 2023/02/02 18:51:47 - mmengine - INFO - Epoch(train) [195][ 580/1879] lr: 1.7874e-02 eta: 16:34:12 time: 0.5310 data_time: 0.0374 memory: 18104 grad_norm: 4.9719 loss: 3.2261 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7881 top1_acc_1: 0.6471 top5_acc_1: 0.9176 loss_cls_1: 1.4381 2023/02/02 18:51:57 - mmengine - INFO - Epoch(train) [195][ 600/1879] lr: 1.7869e-02 eta: 16:34:02 time: 0.5061 data_time: 0.0359 memory: 18104 grad_norm: 4.9840 loss: 3.2792 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9786 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.3005 2023/02/02 18:52:08 - mmengine - INFO - Epoch(train) [195][ 620/1879] lr: 1.7863e-02 eta: 16:33:52 time: 0.5227 data_time: 0.0403 memory: 18104 grad_norm: 5.0986 loss: 3.1169 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7760 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.3408 2023/02/02 18:52:18 - mmengine - INFO - Epoch(train) [195][ 640/1879] lr: 1.7857e-02 eta: 16:33:42 time: 0.5196 data_time: 0.0318 memory: 18104 grad_norm: 5.0438 loss: 3.0504 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7458 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.3046 2023/02/02 18:52:29 - mmengine - INFO - Epoch(train) [195][ 660/1879] lr: 1.7851e-02 eta: 16:33:32 time: 0.5195 data_time: 0.0398 memory: 18104 grad_norm: 5.0275 loss: 3.1895 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.9030 top1_acc_1: 0.7412 top5_acc_1: 0.8471 loss_cls_1: 1.2865 2023/02/02 18:52:39 - mmengine - INFO - Epoch(train) [195][ 680/1879] lr: 1.7845e-02 eta: 16:33:21 time: 0.5170 data_time: 0.0364 memory: 18104 grad_norm: 5.0157 loss: 3.3648 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9114 top1_acc_1: 0.5647 top5_acc_1: 0.8000 loss_cls_1: 1.4534 2023/02/02 18:52:50 - mmengine - INFO - Epoch(train) [195][ 700/1879] lr: 1.7840e-02 eta: 16:33:12 time: 0.5253 data_time: 0.0396 memory: 18104 grad_norm: 5.0365 loss: 3.0579 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.7973 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.2605 2023/02/02 18:53:00 - mmengine - INFO - Epoch(train) [195][ 720/1879] lr: 1.7834e-02 eta: 16:33:01 time: 0.4978 data_time: 0.0312 memory: 18104 grad_norm: 4.9642 loss: 3.3176 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9965 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.3211 2023/02/02 18:53:10 - mmengine - INFO - Epoch(train) [195][ 740/1879] lr: 1.7828e-02 eta: 16:32:50 time: 0.5153 data_time: 0.0449 memory: 18104 grad_norm: 5.0311 loss: 3.4288 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 2.1335 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.2953 2023/02/02 18:53:20 - mmengine - INFO - Epoch(train) [195][ 760/1879] lr: 1.7822e-02 eta: 16:32:40 time: 0.5160 data_time: 0.0318 memory: 18104 grad_norm: 4.9876 loss: 3.0597 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.8262 top1_acc_1: 0.7412 top5_acc_1: 0.9529 loss_cls_1: 1.2334 2023/02/02 18:53:31 - mmengine - INFO - Epoch(train) [195][ 780/1879] lr: 1.7817e-02 eta: 16:32:30 time: 0.5196 data_time: 0.0392 memory: 18104 grad_norm: 5.0953 loss: 3.3647 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0741 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.2906 2023/02/02 18:53:41 - mmengine - INFO - Epoch(train) [195][ 800/1879] lr: 1.7811e-02 eta: 16:32:19 time: 0.5070 data_time: 0.0305 memory: 18104 grad_norm: 4.8623 loss: 3.0487 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.6351 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.4136 2023/02/02 18:53:52 - mmengine - INFO - Epoch(train) [195][ 820/1879] lr: 1.7805e-02 eta: 16:32:11 time: 0.5423 data_time: 0.0362 memory: 18104 grad_norm: 4.9741 loss: 3.1837 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.8701 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.3136 2023/02/02 18:54:02 - mmengine - INFO - Epoch(train) [195][ 840/1879] lr: 1.7799e-02 eta: 16:32:00 time: 0.5174 data_time: 0.0293 memory: 18104 grad_norm: 4.9356 loss: 3.1507 top1_acc_0: 0.5625 top5_acc_0: 1.0000 loss_cls_0: 1.8245 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.3262 2023/02/02 18:54:12 - mmengine - INFO - Epoch(train) [195][ 860/1879] lr: 1.7794e-02 eta: 16:31:50 time: 0.5132 data_time: 0.0375 memory: 18104 grad_norm: 5.0974 loss: 3.1021 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7692 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.3329 2023/02/02 18:54:23 - mmengine - INFO - Epoch(train) [195][ 880/1879] lr: 1.7788e-02 eta: 16:31:40 time: 0.5179 data_time: 0.0385 memory: 18104 grad_norm: 4.9577 loss: 3.0826 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8151 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.2675 2023/02/02 18:54:33 - mmengine - INFO - Epoch(train) [195][ 900/1879] lr: 1.7782e-02 eta: 16:31:29 time: 0.5102 data_time: 0.0376 memory: 18104 grad_norm: 4.9378 loss: 3.1008 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8478 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.2530 2023/02/02 18:54:43 - mmengine - INFO - Epoch(train) [195][ 920/1879] lr: 1.7776e-02 eta: 16:31:18 time: 0.4967 data_time: 0.0298 memory: 18104 grad_norm: 4.9481 loss: 3.0703 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8140 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.2563 2023/02/02 18:54:53 - mmengine - INFO - Epoch(train) [195][ 940/1879] lr: 1.7771e-02 eta: 16:31:07 time: 0.5018 data_time: 0.0387 memory: 18104 grad_norm: 5.0460 loss: 3.0145 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.7321 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.2824 2023/02/02 18:55:03 - mmengine - INFO - Epoch(train) [195][ 960/1879] lr: 1.7765e-02 eta: 16:30:57 time: 0.5099 data_time: 0.0355 memory: 18104 grad_norm: 5.0186 loss: 3.2520 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0070 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 1.2449 2023/02/02 18:55:13 - mmengine - INFO - Epoch(train) [195][ 980/1879] lr: 1.7759e-02 eta: 16:30:46 time: 0.5068 data_time: 0.0397 memory: 18104 grad_norm: 4.9807 loss: 3.0545 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.7470 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.3075 2023/02/02 18:55:23 - mmengine - INFO - Epoch(train) [195][1000/1879] lr: 1.7753e-02 eta: 16:30:35 time: 0.4948 data_time: 0.0325 memory: 18104 grad_norm: 4.9780 loss: 3.1769 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.8786 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.2983 2023/02/02 18:55:34 - mmengine - INFO - Epoch(train) [195][1020/1879] lr: 1.7747e-02 eta: 16:30:24 time: 0.5149 data_time: 0.0446 memory: 18104 grad_norm: 4.9919 loss: 3.1529 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8529 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.3001 2023/02/02 18:55:44 - mmengine - INFO - Epoch(train) [195][1040/1879] lr: 1.7742e-02 eta: 16:30:14 time: 0.5192 data_time: 0.0302 memory: 18104 grad_norm: 4.8660 loss: 3.2216 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8763 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.3452 2023/02/02 18:55:55 - mmengine - INFO - Epoch(train) [195][1060/1879] lr: 1.7736e-02 eta: 16:30:05 time: 0.5299 data_time: 0.0379 memory: 18104 grad_norm: 4.9987 loss: 3.0101 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 1.6711 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.3390 2023/02/02 18:56:05 - mmengine - INFO - Epoch(train) [195][1080/1879] lr: 1.7730e-02 eta: 16:29:55 time: 0.5294 data_time: 0.0362 memory: 18104 grad_norm: 5.0729 loss: 3.3186 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 1.9849 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.3337 2023/02/02 18:56:16 - mmengine - INFO - Epoch(train) [195][1100/1879] lr: 1.7724e-02 eta: 16:29:47 time: 0.5442 data_time: 0.0382 memory: 18104 grad_norm: 4.9311 loss: 3.3264 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9551 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.3713 2023/02/02 18:56:27 - mmengine - INFO - Epoch(train) [195][1120/1879] lr: 1.7719e-02 eta: 16:29:36 time: 0.5164 data_time: 0.0305 memory: 18104 grad_norm: 4.8961 loss: 2.9934 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7008 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.2926 2023/02/02 18:56:37 - mmengine - INFO - Epoch(train) [195][1140/1879] lr: 1.7713e-02 eta: 16:29:27 time: 0.5254 data_time: 0.0422 memory: 18104 grad_norm: 4.8597 loss: 3.2081 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 2.0288 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.1794 2023/02/02 18:56:48 - mmengine - INFO - Epoch(train) [195][1160/1879] lr: 1.7707e-02 eta: 16:29:18 time: 0.5461 data_time: 0.0298 memory: 18104 grad_norm: 4.9694 loss: 3.3084 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0342 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.2742 2023/02/02 18:56:59 - mmengine - INFO - Epoch(train) [195][1180/1879] lr: 1.7701e-02 eta: 16:29:08 time: 0.5268 data_time: 0.0358 memory: 18104 grad_norm: 4.9754 loss: 2.8296 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5464 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.2833 2023/02/02 18:57:09 - mmengine - INFO - Epoch(train) [195][1200/1879] lr: 1.7696e-02 eta: 16:28:58 time: 0.5070 data_time: 0.0284 memory: 18104 grad_norm: 4.9090 loss: 3.1109 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 1.8332 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.2776 2023/02/02 18:57:19 - mmengine - INFO - Epoch(train) [195][1220/1879] lr: 1.7690e-02 eta: 16:28:48 time: 0.5277 data_time: 0.0459 memory: 18104 grad_norm: 4.9399 loss: 3.3164 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8939 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4226 2023/02/02 18:57:30 - mmengine - INFO - Epoch(train) [195][1240/1879] lr: 1.7684e-02 eta: 16:28:38 time: 0.5132 data_time: 0.0289 memory: 18104 grad_norm: 5.0041 loss: 3.1471 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8088 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.3383 2023/02/02 18:57:40 - mmengine - INFO - Epoch(train) [195][1260/1879] lr: 1.7678e-02 eta: 16:28:28 time: 0.5218 data_time: 0.0390 memory: 18104 grad_norm: 4.9974 loss: 3.0891 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7115 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.3777 2023/02/02 18:57:50 - mmengine - INFO - Epoch(train) [195][1280/1879] lr: 1.7673e-02 eta: 16:28:17 time: 0.5121 data_time: 0.0386 memory: 18104 grad_norm: 4.9261 loss: 3.1999 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9729 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.2270 2023/02/02 18:58:01 - mmengine - INFO - Epoch(train) [195][1300/1879] lr: 1.7667e-02 eta: 16:28:08 time: 0.5275 data_time: 0.0372 memory: 18104 grad_norm: 4.9903 loss: 3.0464 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.7114 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.3350 2023/02/02 18:58:11 - mmengine - INFO - Epoch(train) [195][1320/1879] lr: 1.7661e-02 eta: 16:27:57 time: 0.5036 data_time: 0.0295 memory: 18104 grad_norm: 4.9693 loss: 3.3267 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9670 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.3597 2023/02/02 18:58:22 - mmengine - INFO - Epoch(train) [195][1340/1879] lr: 1.7656e-02 eta: 16:27:48 time: 0.5338 data_time: 0.0439 memory: 18104 grad_norm: 5.0998 loss: 3.4039 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 2.1416 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.2624 2023/02/02 18:58:32 - mmengine - INFO - Epoch(train) [195][1360/1879] lr: 1.7650e-02 eta: 16:27:38 time: 0.5209 data_time: 0.0327 memory: 18104 grad_norm: 5.0107 loss: 3.1815 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9574 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.2240 2023/02/02 18:58:42 - mmengine - INFO - Epoch(train) [195][1380/1879] lr: 1.7644e-02 eta: 16:27:28 time: 0.5199 data_time: 0.0336 memory: 18104 grad_norm: 4.9115 loss: 3.2554 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.9584 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.2971 2023/02/02 18:58:53 - mmengine - INFO - Epoch(train) [195][1400/1879] lr: 1.7638e-02 eta: 16:27:18 time: 0.5163 data_time: 0.0444 memory: 18104 grad_norm: 5.1435 loss: 3.2808 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9605 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.3203 2023/02/02 18:59:03 - mmengine - INFO - Epoch(train) [195][1420/1879] lr: 1.7633e-02 eta: 16:27:08 time: 0.5248 data_time: 0.0336 memory: 18104 grad_norm: 4.9472 loss: 3.2136 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8712 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.3425 2023/02/02 18:59:14 - mmengine - INFO - Epoch(train) [195][1440/1879] lr: 1.7627e-02 eta: 16:26:59 time: 0.5393 data_time: 0.0372 memory: 18104 grad_norm: 4.9674 loss: 3.2110 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9469 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.2640 2023/02/02 18:59:25 - mmengine - INFO - Epoch(train) [195][1460/1879] lr: 1.7621e-02 eta: 16:26:49 time: 0.5158 data_time: 0.0259 memory: 18104 grad_norm: 5.0199 loss: 3.0739 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7131 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.3608 2023/02/02 18:59:32 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 18:59:35 - mmengine - INFO - Epoch(train) [195][1480/1879] lr: 1.7615e-02 eta: 16:26:39 time: 0.5275 data_time: 0.0430 memory: 18104 grad_norm: 5.0513 loss: 3.2868 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.9796 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.3073 2023/02/02 18:59:54 - mmengine - INFO - Epoch(train) [195][1500/1879] lr: 1.7610e-02 eta: 16:26:52 time: 0.9570 data_time: 0.3475 memory: 18104 grad_norm: 4.9308 loss: 3.1684 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7071 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.4614 2023/02/02 19:00:12 - mmengine - INFO - Epoch(train) [195][1520/1879] lr: 1.7604e-02 eta: 16:27:02 time: 0.8929 data_time: 0.3499 memory: 18104 grad_norm: 5.0337 loss: 3.2192 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9723 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.2469 2023/02/02 19:00:22 - mmengine - INFO - Epoch(train) [195][1540/1879] lr: 1.7598e-02 eta: 16:26:50 time: 0.4711 data_time: 0.0373 memory: 18104 grad_norm: 4.9998 loss: 3.1330 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7915 top1_acc_1: 0.6235 top5_acc_1: 0.9176 loss_cls_1: 1.3415 2023/02/02 19:00:31 - mmengine - INFO - Epoch(train) [195][1560/1879] lr: 1.7592e-02 eta: 16:26:38 time: 0.4819 data_time: 0.0453 memory: 18104 grad_norm: 4.9983 loss: 3.2845 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9276 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.3569 2023/02/02 19:00:41 - mmengine - INFO - Epoch(train) [195][1580/1879] lr: 1.7587e-02 eta: 16:26:27 time: 0.5107 data_time: 0.0415 memory: 18104 grad_norm: 4.9626 loss: 3.0497 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.8094 top1_acc_1: 0.6824 top5_acc_1: 0.9294 loss_cls_1: 1.2403 2023/02/02 19:00:51 - mmengine - INFO - Epoch(train) [195][1600/1879] lr: 1.7581e-02 eta: 16:26:16 time: 0.4929 data_time: 0.0379 memory: 18104 grad_norm: 4.9146 loss: 2.8902 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.6576 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.2326 2023/02/02 19:01:01 - mmengine - INFO - Epoch(train) [195][1620/1879] lr: 1.7575e-02 eta: 16:26:04 time: 0.4817 data_time: 0.0347 memory: 18104 grad_norm: 5.1226 loss: 3.2361 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9011 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.3351 2023/02/02 19:01:11 - mmengine - INFO - Epoch(train) [195][1640/1879] lr: 1.7569e-02 eta: 16:25:52 time: 0.4945 data_time: 0.0448 memory: 18104 grad_norm: 4.9279 loss: 3.0082 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6323 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.3759 2023/02/02 19:01:21 - mmengine - INFO - Epoch(train) [195][1660/1879] lr: 1.7564e-02 eta: 16:25:41 time: 0.4954 data_time: 0.0338 memory: 18104 grad_norm: 5.1414 loss: 3.3189 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.9333 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.3856 2023/02/02 19:01:31 - mmengine - INFO - Epoch(train) [195][1680/1879] lr: 1.7558e-02 eta: 16:25:30 time: 0.4998 data_time: 0.0367 memory: 18104 grad_norm: 5.0717 loss: 3.0820 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7215 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.3604 2023/02/02 19:01:41 - mmengine - INFO - Epoch(train) [195][1700/1879] lr: 1.7552e-02 eta: 16:25:18 time: 0.4816 data_time: 0.0328 memory: 18104 grad_norm: 4.9497 loss: 3.1735 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.8495 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.3240 2023/02/02 19:01:51 - mmengine - INFO - Epoch(train) [195][1720/1879] lr: 1.7547e-02 eta: 16:25:07 time: 0.5140 data_time: 0.0503 memory: 18104 grad_norm: 5.0927 loss: 3.2373 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.9304 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.3069 2023/02/02 19:02:01 - mmengine - INFO - Epoch(train) [195][1740/1879] lr: 1.7541e-02 eta: 16:24:56 time: 0.5036 data_time: 0.0361 memory: 18104 grad_norm: 4.8186 loss: 3.2634 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8892 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.3742 2023/02/02 19:02:11 - mmengine - INFO - Epoch(train) [195][1760/1879] lr: 1.7535e-02 eta: 16:24:46 time: 0.5077 data_time: 0.0395 memory: 18104 grad_norm: 5.0169 loss: 3.1957 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.9498 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.2459 2023/02/02 19:02:21 - mmengine - INFO - Epoch(train) [195][1780/1879] lr: 1.7529e-02 eta: 16:24:34 time: 0.4836 data_time: 0.0335 memory: 18104 grad_norm: 4.8527 loss: 2.9874 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.6867 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.3007 2023/02/02 19:02:31 - mmengine - INFO - Epoch(train) [195][1800/1879] lr: 1.7524e-02 eta: 16:24:22 time: 0.4919 data_time: 0.0464 memory: 18104 grad_norm: 4.9139 loss: 3.2422 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8798 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.3624 2023/02/02 19:02:40 - mmengine - INFO - Epoch(train) [195][1820/1879] lr: 1.7518e-02 eta: 16:24:10 time: 0.4844 data_time: 0.0318 memory: 18104 grad_norm: 4.8780 loss: 3.1693 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.8568 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.3126 2023/02/02 19:02:50 - mmengine - INFO - Epoch(train) [195][1840/1879] lr: 1.7512e-02 eta: 16:23:59 time: 0.5033 data_time: 0.0374 memory: 18104 grad_norm: 4.9052 loss: 3.2348 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9695 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.2653 2023/02/02 19:03:00 - mmengine - INFO - Epoch(train) [195][1860/1879] lr: 1.7506e-02 eta: 16:23:48 time: 0.4882 data_time: 0.0343 memory: 18104 grad_norm: 4.9668 loss: 3.0910 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7737 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.3173 2023/02/02 19:03:09 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 19:03:09 - mmengine - INFO - Epoch(train) [195][1879/1879] lr: 1.7501e-02 eta: 16:23:35 time: 0.4653 data_time: 0.0371 memory: 18104 grad_norm: 5.0212 loss: 3.0637 top1_acc_0: 0.5714 top5_acc_0: 0.8571 loss_cls_0: 1.8357 top1_acc_1: 0.7529 top5_acc_1: 0.8588 loss_cls_1: 1.2280 2023/02/02 19:03:24 - mmengine - INFO - Epoch(train) [196][ 20/1879] lr: 1.7495e-02 eta: 16:23:36 time: 0.7272 data_time: 0.2731 memory: 18104 grad_norm: 4.9515 loss: 3.0415 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7715 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.2700 2023/02/02 19:03:34 - mmengine - INFO - Epoch(train) [196][ 40/1879] lr: 1.7490e-02 eta: 16:23:24 time: 0.4718 data_time: 0.0351 memory: 18104 grad_norm: 4.8179 loss: 2.9885 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.7516 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.2369 2023/02/02 19:03:44 - mmengine - INFO - Epoch(train) [196][ 60/1879] lr: 1.7484e-02 eta: 16:23:13 time: 0.4992 data_time: 0.0376 memory: 18104 grad_norm: 4.9763 loss: 2.9312 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7326 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.1986 2023/02/02 19:03:54 - mmengine - INFO - Epoch(train) [196][ 80/1879] lr: 1.7478e-02 eta: 16:23:01 time: 0.4903 data_time: 0.0327 memory: 18104 grad_norm: 5.0368 loss: 2.6071 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.3581 top1_acc_1: 0.7059 top5_acc_1: 0.8235 loss_cls_1: 1.2490 2023/02/02 19:04:03 - mmengine - INFO - Epoch(train) [196][ 100/1879] lr: 1.7472e-02 eta: 16:22:49 time: 0.4822 data_time: 0.0365 memory: 18104 grad_norm: 4.9181 loss: 2.9172 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.6807 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.2365 2023/02/02 19:04:12 - mmengine - INFO - Epoch(train) [196][ 120/1879] lr: 1.7467e-02 eta: 16:22:36 time: 0.4572 data_time: 0.0299 memory: 18104 grad_norm: 5.1708 loss: 3.0340 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7957 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.2382 2023/02/02 19:04:22 - mmengine - INFO - Epoch(train) [196][ 140/1879] lr: 1.7461e-02 eta: 16:22:24 time: 0.4881 data_time: 0.0427 memory: 18104 grad_norm: 5.0594 loss: 2.9474 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6108 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.3366 2023/02/02 19:04:32 - mmengine - INFO - Epoch(train) [196][ 160/1879] lr: 1.7455e-02 eta: 16:22:12 time: 0.4799 data_time: 0.0354 memory: 18104 grad_norm: 4.9650 loss: 3.1740 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8302 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.3438 2023/02/02 19:04:41 - mmengine - INFO - Epoch(train) [196][ 180/1879] lr: 1.7450e-02 eta: 16:21:59 time: 0.4665 data_time: 0.0363 memory: 18104 grad_norm: 4.9266 loss: 2.9988 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.6745 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 1.3243 2023/02/02 19:04:50 - mmengine - INFO - Epoch(train) [196][ 200/1879] lr: 1.7444e-02 eta: 16:21:46 time: 0.4634 data_time: 0.0370 memory: 18104 grad_norm: 5.0763 loss: 3.2330 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9127 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.3203 2023/02/02 19:05:00 - mmengine - INFO - Epoch(train) [196][ 220/1879] lr: 1.7438e-02 eta: 16:21:34 time: 0.4890 data_time: 0.0377 memory: 18104 grad_norm: 4.9745 loss: 3.1169 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8869 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.2300 2023/02/02 19:05:10 - mmengine - INFO - Epoch(train) [196][ 240/1879] lr: 1.7432e-02 eta: 16:21:22 time: 0.4686 data_time: 0.0350 memory: 18104 grad_norm: 4.9932 loss: 3.0806 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8777 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2029 2023/02/02 19:05:19 - mmengine - INFO - Epoch(train) [196][ 260/1879] lr: 1.7427e-02 eta: 16:21:09 time: 0.4704 data_time: 0.0367 memory: 18104 grad_norm: 5.0203 loss: 3.2219 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 1.8136 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.4082 2023/02/02 19:05:28 - mmengine - INFO - Epoch(train) [196][ 280/1879] lr: 1.7421e-02 eta: 16:20:56 time: 0.4608 data_time: 0.0369 memory: 18104 grad_norm: 4.9105 loss: 3.1238 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7823 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.3415 2023/02/02 19:05:38 - mmengine - INFO - Epoch(train) [196][ 300/1879] lr: 1.7415e-02 eta: 16:20:43 time: 0.4727 data_time: 0.0361 memory: 18104 grad_norm: 4.9309 loss: 3.1350 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9083 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.2267 2023/02/02 19:05:47 - mmengine - INFO - Epoch(train) [196][ 320/1879] lr: 1.7410e-02 eta: 16:20:31 time: 0.4814 data_time: 0.0547 memory: 18104 grad_norm: 5.0032 loss: 3.0853 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.7776 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.3077 2023/02/02 19:05:57 - mmengine - INFO - Epoch(train) [196][ 340/1879] lr: 1.7404e-02 eta: 16:20:19 time: 0.4715 data_time: 0.0343 memory: 18104 grad_norm: 5.0002 loss: 2.9152 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6376 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.2776 2023/02/02 19:06:06 - mmengine - INFO - Epoch(train) [196][ 360/1879] lr: 1.7398e-02 eta: 16:20:06 time: 0.4644 data_time: 0.0376 memory: 18104 grad_norm: 5.0144 loss: 3.0386 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6735 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 1.3651 2023/02/02 19:06:16 - mmengine - INFO - Epoch(train) [196][ 380/1879] lr: 1.7392e-02 eta: 16:19:54 time: 0.4788 data_time: 0.0358 memory: 18104 grad_norm: 4.9437 loss: 3.1469 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.8735 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.2734 2023/02/02 19:06:26 - mmengine - INFO - Epoch(train) [196][ 400/1879] lr: 1.7387e-02 eta: 16:19:42 time: 0.4970 data_time: 0.0441 memory: 18104 grad_norm: 4.9873 loss: 3.0219 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6290 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.3929 2023/02/02 19:06:35 - mmengine - INFO - Epoch(train) [196][ 420/1879] lr: 1.7381e-02 eta: 16:19:30 time: 0.4828 data_time: 0.0355 memory: 18104 grad_norm: 4.9679 loss: 2.8349 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6243 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.2105 2023/02/02 19:06:45 - mmengine - INFO - Epoch(train) [196][ 440/1879] lr: 1.7375e-02 eta: 16:19:18 time: 0.4763 data_time: 0.0345 memory: 18104 grad_norm: 5.2079 loss: 3.0312 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7588 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.2725 2023/02/02 19:06:55 - mmengine - INFO - Epoch(train) [196][ 460/1879] lr: 1.7370e-02 eta: 16:19:06 time: 0.4894 data_time: 0.0346 memory: 18104 grad_norm: 4.9524 loss: 3.0057 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 1.7634 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.2424 2023/02/02 19:07:05 - mmengine - INFO - Epoch(train) [196][ 480/1879] lr: 1.7364e-02 eta: 16:18:55 time: 0.4843 data_time: 0.0426 memory: 18104 grad_norm: 5.0943 loss: 3.1389 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.8462 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.2927 2023/02/02 19:07:14 - mmengine - INFO - Epoch(train) [196][ 500/1879] lr: 1.7358e-02 eta: 16:18:42 time: 0.4799 data_time: 0.0362 memory: 18104 grad_norm: 5.1061 loss: 3.1303 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7844 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.3460 2023/02/02 19:07:24 - mmengine - INFO - Epoch(train) [196][ 520/1879] lr: 1.7352e-02 eta: 16:18:31 time: 0.4925 data_time: 0.0346 memory: 18104 grad_norm: 4.9936 loss: 2.9753 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.6663 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.3089 2023/02/02 19:07:34 - mmengine - INFO - Epoch(train) [196][ 540/1879] lr: 1.7347e-02 eta: 16:18:19 time: 0.4831 data_time: 0.0345 memory: 18104 grad_norm: 5.0939 loss: 3.2420 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.9227 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.3193 2023/02/02 19:07:43 - mmengine - INFO - Epoch(train) [196][ 560/1879] lr: 1.7341e-02 eta: 16:18:07 time: 0.4773 data_time: 0.0417 memory: 18104 grad_norm: 5.0876 loss: 3.2447 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9567 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.2880 2023/02/02 19:07:53 - mmengine - INFO - Epoch(train) [196][ 580/1879] lr: 1.7335e-02 eta: 16:17:56 time: 0.4943 data_time: 0.0351 memory: 18104 grad_norm: 4.9947 loss: 3.2766 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9900 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.2866 2023/02/02 19:08:00 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 19:08:03 - mmengine - INFO - Epoch(train) [196][ 600/1879] lr: 1.7330e-02 eta: 16:17:43 time: 0.4783 data_time: 0.0355 memory: 18104 grad_norm: 5.0143 loss: 2.9548 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.6949 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.2598 2023/02/02 19:08:13 - mmengine - INFO - Epoch(train) [196][ 620/1879] lr: 1.7324e-02 eta: 16:17:32 time: 0.4917 data_time: 0.0349 memory: 18104 grad_norm: 5.0759 loss: 2.9589 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.6889 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.2700 2023/02/02 19:08:22 - mmengine - INFO - Epoch(train) [196][ 640/1879] lr: 1.7318e-02 eta: 16:17:20 time: 0.4795 data_time: 0.0338 memory: 18104 grad_norm: 5.0474 loss: 3.1557 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8297 top1_acc_1: 0.7529 top5_acc_1: 0.8118 loss_cls_1: 1.3259 2023/02/02 19:08:32 - mmengine - INFO - Epoch(train) [196][ 660/1879] lr: 1.7313e-02 eta: 16:17:09 time: 0.5017 data_time: 0.0350 memory: 18104 grad_norm: 5.0315 loss: 3.1406 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.8104 top1_acc_1: 0.7647 top5_acc_1: 0.8706 loss_cls_1: 1.3302 2023/02/02 19:08:42 - mmengine - INFO - Epoch(train) [196][ 680/1879] lr: 1.7307e-02 eta: 16:16:56 time: 0.4604 data_time: 0.0349 memory: 18104 grad_norm: 5.0801 loss: 3.2797 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9966 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.2832 2023/02/02 19:08:53 - mmengine - INFO - Epoch(train) [196][ 700/1879] lr: 1.7301e-02 eta: 16:16:49 time: 0.5911 data_time: 0.0671 memory: 18104 grad_norm: 4.9933 loss: 3.1099 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 1.8323 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.2776 2023/02/02 19:09:04 - mmengine - INFO - Epoch(train) [196][ 720/1879] lr: 1.7295e-02 eta: 16:16:39 time: 0.5091 data_time: 0.0414 memory: 18104 grad_norm: 4.9778 loss: 3.2030 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8215 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.3815 2023/02/02 19:09:13 - mmengine - INFO - Epoch(train) [196][ 740/1879] lr: 1.7290e-02 eta: 16:16:26 time: 0.4723 data_time: 0.0340 memory: 18104 grad_norm: 5.0419 loss: 2.8926 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.7108 top1_acc_1: 0.6235 top5_acc_1: 0.8941 loss_cls_1: 1.1818 2023/02/02 19:09:23 - mmengine - INFO - Epoch(train) [196][ 760/1879] lr: 1.7284e-02 eta: 16:16:14 time: 0.4800 data_time: 0.0370 memory: 18104 grad_norm: 4.9953 loss: 3.1947 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9253 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.2694 2023/02/02 19:09:32 - mmengine - INFO - Epoch(train) [196][ 780/1879] lr: 1.7278e-02 eta: 16:16:02 time: 0.4843 data_time: 0.0367 memory: 18104 grad_norm: 4.9856 loss: 3.1173 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.9310 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.1863 2023/02/02 19:09:42 - mmengine - INFO - Epoch(train) [196][ 800/1879] lr: 1.7273e-02 eta: 16:15:50 time: 0.4666 data_time: 0.0376 memory: 18104 grad_norm: 5.0888 loss: 2.9915 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7087 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.2828 2023/02/02 19:09:51 - mmengine - INFO - Epoch(train) [196][ 820/1879] lr: 1.7267e-02 eta: 16:15:38 time: 0.4859 data_time: 0.0379 memory: 18104 grad_norm: 5.0353 loss: 3.0644 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6908 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.3736 2023/02/02 19:10:01 - mmengine - INFO - Epoch(train) [196][ 840/1879] lr: 1.7261e-02 eta: 16:15:25 time: 0.4715 data_time: 0.0382 memory: 18104 grad_norm: 4.9863 loss: 3.0760 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.7215 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.3545 2023/02/02 19:10:11 - mmengine - INFO - Epoch(train) [196][ 860/1879] lr: 1.7256e-02 eta: 16:15:13 time: 0.4833 data_time: 0.0366 memory: 18104 grad_norm: 5.1236 loss: 2.9287 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.5631 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.3656 2023/02/02 19:10:20 - mmengine - INFO - Epoch(train) [196][ 880/1879] lr: 1.7250e-02 eta: 16:15:01 time: 0.4708 data_time: 0.0364 memory: 18104 grad_norm: 5.0978 loss: 3.1967 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 1.8290 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.3677 2023/02/02 19:10:30 - mmengine - INFO - Epoch(train) [196][ 900/1879] lr: 1.7244e-02 eta: 16:14:49 time: 0.4740 data_time: 0.0426 memory: 18104 grad_norm: 4.9498 loss: 3.0738 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7612 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.3125 2023/02/02 19:10:39 - mmengine - INFO - Epoch(train) [196][ 920/1879] lr: 1.7238e-02 eta: 16:14:37 time: 0.4863 data_time: 0.0356 memory: 18104 grad_norm: 4.9699 loss: 3.0698 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7768 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2929 2023/02/02 19:10:49 - mmengine - INFO - Epoch(train) [196][ 940/1879] lr: 1.7233e-02 eta: 16:14:25 time: 0.4843 data_time: 0.0364 memory: 18104 grad_norm: 4.9705 loss: 3.0747 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8051 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.2696 2023/02/02 19:10:58 - mmengine - INFO - Epoch(train) [196][ 960/1879] lr: 1.7227e-02 eta: 16:14:13 time: 0.4711 data_time: 0.0361 memory: 18104 grad_norm: 5.0007 loss: 3.1955 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8691 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.3264 2023/02/02 19:11:08 - mmengine - INFO - Epoch(train) [196][ 980/1879] lr: 1.7221e-02 eta: 16:14:00 time: 0.4730 data_time: 0.0353 memory: 18104 grad_norm: 5.1298 loss: 3.1714 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8092 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.3622 2023/02/02 19:11:18 - mmengine - INFO - Epoch(train) [196][1000/1879] lr: 1.7216e-02 eta: 16:13:48 time: 0.4861 data_time: 0.0367 memory: 18104 grad_norm: 5.0872 loss: 3.3027 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9809 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.3219 2023/02/02 19:11:27 - mmengine - INFO - Epoch(train) [196][1020/1879] lr: 1.7210e-02 eta: 16:13:36 time: 0.4763 data_time: 0.0365 memory: 18104 grad_norm: 5.0329 loss: 3.0918 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.8461 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.2457 2023/02/02 19:11:37 - mmengine - INFO - Epoch(train) [196][1040/1879] lr: 1.7204e-02 eta: 16:13:24 time: 0.4716 data_time: 0.0356 memory: 18104 grad_norm: 4.9974 loss: 3.2508 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8894 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.3614 2023/02/02 19:11:46 - mmengine - INFO - Epoch(train) [196][1060/1879] lr: 1.7199e-02 eta: 16:13:11 time: 0.4771 data_time: 0.0431 memory: 18104 grad_norm: 5.0326 loss: 3.0568 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7526 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 1.3041 2023/02/02 19:11:56 - mmengine - INFO - Epoch(train) [196][1080/1879] lr: 1.7193e-02 eta: 16:12:59 time: 0.4706 data_time: 0.0359 memory: 18104 grad_norm: 5.0945 loss: 3.1598 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.8575 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 1.3022 2023/02/02 19:12:05 - mmengine - INFO - Epoch(train) [196][1100/1879] lr: 1.7187e-02 eta: 16:12:47 time: 0.4810 data_time: 0.0368 memory: 18104 grad_norm: 5.1129 loss: 3.0969 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7216 top1_acc_1: 0.7294 top5_acc_1: 0.8353 loss_cls_1: 1.3753 2023/02/02 19:12:15 - mmengine - INFO - Epoch(train) [196][1120/1879] lr: 1.7182e-02 eta: 16:12:35 time: 0.4726 data_time: 0.0364 memory: 18104 grad_norm: 5.0897 loss: 2.8885 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.5968 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.2917 2023/02/02 19:12:24 - mmengine - INFO - Epoch(train) [196][1140/1879] lr: 1.7176e-02 eta: 16:12:22 time: 0.4778 data_time: 0.0368 memory: 18104 grad_norm: 4.9480 loss: 3.1304 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7606 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.3698 2023/02/02 19:12:34 - mmengine - INFO - Epoch(train) [196][1160/1879] lr: 1.7170e-02 eta: 16:12:10 time: 0.4761 data_time: 0.0338 memory: 18104 grad_norm: 5.1507 loss: 3.2112 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.9325 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.2787 2023/02/02 19:12:44 - mmengine - INFO - Epoch(train) [196][1180/1879] lr: 1.7165e-02 eta: 16:11:58 time: 0.4821 data_time: 0.0358 memory: 18104 grad_norm: 5.0928 loss: 3.1835 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9526 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2309 2023/02/02 19:12:53 - mmengine - INFO - Epoch(train) [196][1200/1879] lr: 1.7159e-02 eta: 16:11:46 time: 0.4776 data_time: 0.0372 memory: 18104 grad_norm: 5.2071 loss: 3.1127 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.8027 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.3100 2023/02/02 19:13:03 - mmengine - INFO - Epoch(train) [196][1220/1879] lr: 1.7153e-02 eta: 16:11:34 time: 0.4709 data_time: 0.0360 memory: 18104 grad_norm: 5.0729 loss: 3.0068 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8020 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.2048 2023/02/02 19:13:13 - mmengine - INFO - Epoch(train) [196][1240/1879] lr: 1.7148e-02 eta: 16:11:23 time: 0.5137 data_time: 0.0459 memory: 18104 grad_norm: 5.0050 loss: 3.1200 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8586 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2614 2023/02/02 19:13:23 - mmengine - INFO - Epoch(train) [196][1260/1879] lr: 1.7142e-02 eta: 16:11:14 time: 0.5293 data_time: 0.0736 memory: 18104 grad_norm: 5.0583 loss: 2.8907 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 1.6035 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.2872 2023/02/02 19:13:34 - mmengine - INFO - Epoch(train) [196][1280/1879] lr: 1.7136e-02 eta: 16:11:03 time: 0.5012 data_time: 0.0340 memory: 18104 grad_norm: 4.9622 loss: 3.1897 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8845 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.3052 2023/02/02 19:13:43 - mmengine - INFO - Epoch(train) [196][1300/1879] lr: 1.7131e-02 eta: 16:10:50 time: 0.4697 data_time: 0.0360 memory: 18104 grad_norm: 5.0656 loss: 3.2188 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9832 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.2356 2023/02/02 19:13:53 - mmengine - INFO - Epoch(train) [196][1320/1879] lr: 1.7125e-02 eta: 16:10:38 time: 0.4792 data_time: 0.0404 memory: 18104 grad_norm: 4.9909 loss: 3.1874 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8865 top1_acc_1: 0.7647 top5_acc_1: 0.8706 loss_cls_1: 1.3009 2023/02/02 19:14:02 - mmengine - INFO - Epoch(train) [196][1340/1879] lr: 1.7119e-02 eta: 16:10:25 time: 0.4625 data_time: 0.0370 memory: 18104 grad_norm: 5.1016 loss: 3.1894 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.8107 top1_acc_1: 0.7176 top5_acc_1: 0.8235 loss_cls_1: 1.3787 2023/02/02 19:14:11 - mmengine - INFO - Epoch(train) [196][1360/1879] lr: 1.7114e-02 eta: 16:10:13 time: 0.4732 data_time: 0.0371 memory: 18104 grad_norm: 4.9979 loss: 2.7958 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4882 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.3077 2023/02/02 19:14:21 - mmengine - INFO - Epoch(train) [196][1380/1879] lr: 1.7108e-02 eta: 16:10:00 time: 0.4628 data_time: 0.0367 memory: 18104 grad_norm: 4.9701 loss: 2.9678 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7048 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.2630 2023/02/02 19:14:30 - mmengine - INFO - Epoch(train) [196][1400/1879] lr: 1.7102e-02 eta: 16:09:47 time: 0.4655 data_time: 0.0389 memory: 18104 grad_norm: 5.0643 loss: 3.1236 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 1.8638 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.2597 2023/02/02 19:14:39 - mmengine - INFO - Epoch(train) [196][1420/1879] lr: 1.7096e-02 eta: 16:09:35 time: 0.4737 data_time: 0.0373 memory: 18104 grad_norm: 5.1252 loss: 3.1941 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9235 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.2707 2023/02/02 19:14:49 - mmengine - INFO - Epoch(train) [196][1440/1879] lr: 1.7091e-02 eta: 16:09:23 time: 0.4722 data_time: 0.0352 memory: 18104 grad_norm: 5.0503 loss: 3.4411 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0341 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.4070 2023/02/02 19:14:58 - mmengine - INFO - Epoch(train) [196][1460/1879] lr: 1.7085e-02 eta: 16:09:10 time: 0.4622 data_time: 0.0359 memory: 18104 grad_norm: 4.9367 loss: 3.0289 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8131 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.2158 2023/02/02 19:15:07 - mmengine - INFO - Epoch(train) [196][1480/1879] lr: 1.7079e-02 eta: 16:08:57 time: 0.4621 data_time: 0.0387 memory: 18104 grad_norm: 4.9998 loss: 3.1310 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7848 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.3462 2023/02/02 19:15:17 - mmengine - INFO - Epoch(train) [196][1500/1879] lr: 1.7074e-02 eta: 16:08:45 time: 0.4754 data_time: 0.0358 memory: 18104 grad_norm: 5.0035 loss: 2.9301 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.6507 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.2794 2023/02/02 19:15:26 - mmengine - INFO - Epoch(train) [196][1520/1879] lr: 1.7068e-02 eta: 16:08:32 time: 0.4719 data_time: 0.0470 memory: 18104 grad_norm: 5.0132 loss: 3.0811 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.7904 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.2907 2023/02/02 19:15:36 - mmengine - INFO - Epoch(train) [196][1540/1879] lr: 1.7062e-02 eta: 16:08:20 time: 0.4797 data_time: 0.0368 memory: 18104 grad_norm: 5.0130 loss: 3.0244 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6940 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.3304 2023/02/02 19:15:45 - mmengine - INFO - Epoch(train) [196][1560/1879] lr: 1.7057e-02 eta: 16:08:08 time: 0.4648 data_time: 0.0365 memory: 18104 grad_norm: 4.9993 loss: 3.1096 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7413 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.3683 2023/02/02 19:15:55 - mmengine - INFO - Epoch(train) [196][1580/1879] lr: 1.7051e-02 eta: 16:07:55 time: 0.4681 data_time: 0.0423 memory: 18104 grad_norm: 5.0683 loss: 3.1466 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 1.8596 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.2870 2023/02/02 19:16:02 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 19:16:04 - mmengine - INFO - Epoch(train) [196][1600/1879] lr: 1.7045e-02 eta: 16:07:42 time: 0.4674 data_time: 0.0369 memory: 18104 grad_norm: 5.0653 loss: 3.0326 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.7505 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.2822 2023/02/02 19:16:13 - mmengine - INFO - Epoch(train) [196][1620/1879] lr: 1.7040e-02 eta: 16:07:30 time: 0.4628 data_time: 0.0364 memory: 18104 grad_norm: 4.9123 loss: 2.9919 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.7320 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.2599 2023/02/02 19:16:23 - mmengine - INFO - Epoch(train) [196][1640/1879] lr: 1.7034e-02 eta: 16:07:17 time: 0.4767 data_time: 0.0362 memory: 18104 grad_norm: 5.1632 loss: 3.1023 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7577 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.3447 2023/02/02 19:16:32 - mmengine - INFO - Epoch(train) [196][1660/1879] lr: 1.7028e-02 eta: 16:07:05 time: 0.4653 data_time: 0.0444 memory: 18104 grad_norm: 5.0886 loss: 3.2741 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 1.8700 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.4042 2023/02/02 19:16:42 - mmengine - INFO - Epoch(train) [196][1680/1879] lr: 1.7023e-02 eta: 16:06:52 time: 0.4745 data_time: 0.0362 memory: 18104 grad_norm: 5.0388 loss: 3.2155 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8657 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.3498 2023/02/02 19:16:51 - mmengine - INFO - Epoch(train) [196][1700/1879] lr: 1.7017e-02 eta: 16:06:40 time: 0.4634 data_time: 0.0361 memory: 18104 grad_norm: 5.0468 loss: 3.1377 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.8639 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.2738 2023/02/02 19:17:01 - mmengine - INFO - Epoch(train) [196][1720/1879] lr: 1.7012e-02 eta: 16:06:27 time: 0.4711 data_time: 0.0363 memory: 18104 grad_norm: 5.0674 loss: 3.1419 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.7995 top1_acc_1: 0.7059 top5_acc_1: 0.9647 loss_cls_1: 1.3424 2023/02/02 19:17:10 - mmengine - INFO - Epoch(train) [196][1740/1879] lr: 1.7006e-02 eta: 16:06:15 time: 0.4704 data_time: 0.0369 memory: 18104 grad_norm: 5.0941 loss: 3.0940 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8601 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.2339 2023/02/02 19:17:19 - mmengine - INFO - Epoch(train) [196][1760/1879] lr: 1.7000e-02 eta: 16:06:02 time: 0.4719 data_time: 0.0512 memory: 18104 grad_norm: 4.9820 loss: 3.0896 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7423 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.3473 2023/02/02 19:17:29 - mmengine - INFO - Epoch(train) [196][1780/1879] lr: 1.6995e-02 eta: 16:05:51 time: 0.4901 data_time: 0.0355 memory: 18104 grad_norm: 5.0865 loss: 3.4420 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 2.1432 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.2989 2023/02/02 19:17:38 - mmengine - INFO - Epoch(train) [196][1800/1879] lr: 1.6989e-02 eta: 16:05:38 time: 0.4605 data_time: 0.0374 memory: 18104 grad_norm: 5.0001 loss: 3.0649 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7587 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 1.3062 2023/02/02 19:17:48 - mmengine - INFO - Epoch(train) [196][1820/1879] lr: 1.6983e-02 eta: 16:05:26 time: 0.4840 data_time: 0.0347 memory: 18104 grad_norm: 5.0250 loss: 3.1007 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7910 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.3098 2023/02/02 19:17:57 - mmengine - INFO - Epoch(train) [196][1840/1879] lr: 1.6978e-02 eta: 16:05:13 time: 0.4571 data_time: 0.0339 memory: 18104 grad_norm: 4.9796 loss: 3.3444 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 2.0953 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.2491 2023/02/02 19:18:07 - mmengine - INFO - Epoch(train) [196][1860/1879] lr: 1.6972e-02 eta: 16:05:02 time: 0.4874 data_time: 0.0415 memory: 18104 grad_norm: 5.0174 loss: 3.2862 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9717 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.3146 2023/02/02 19:18:16 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 19:18:16 - mmengine - INFO - Epoch(train) [196][1879/1879] lr: 1.6967e-02 eta: 16:04:49 time: 0.4514 data_time: 0.0310 memory: 18104 grad_norm: 5.1999 loss: 3.3300 top1_acc_0: 0.5714 top5_acc_0: 0.5714 loss_cls_0: 2.0735 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.2564 2023/02/02 19:18:16 - mmengine - INFO - Saving checkpoint at 196 epochs 2023/02/02 19:18:29 - mmengine - INFO - Epoch(val) [196][ 20/155] eta: 0:01:15 time: 0.5597 data_time: 0.4446 memory: 1900 2023/02/02 19:18:40 - mmengine - INFO - Epoch(val) [196][ 40/155] eta: 0:01:02 time: 0.5342 data_time: 0.4207 memory: 1900 2023/02/02 19:18:50 - mmengine - INFO - Epoch(val) [196][ 60/155] eta: 0:00:50 time: 0.4961 data_time: 0.3847 memory: 1900 2023/02/02 19:19:01 - mmengine - INFO - Epoch(val) [196][ 80/155] eta: 0:00:40 time: 0.5597 data_time: 0.4441 memory: 1900 2023/02/02 19:19:12 - mmengine - INFO - Epoch(val) [196][100/155] eta: 0:00:29 time: 0.5513 data_time: 0.4359 memory: 1900 2023/02/02 19:19:23 - mmengine - INFO - Epoch(val) [196][120/155] eta: 0:00:19 time: 0.5569 data_time: 0.4442 memory: 1900 2023/02/02 19:19:32 - mmengine - INFO - Epoch(val) [196][140/155] eta: 0:00:07 time: 0.4692 data_time: 0.3475 memory: 1900 2023/02/02 19:19:48 - mmengine - INFO - Epoch(val) [196][155/155] acc/top1: 0.6146 acc/top5: 0.8315 acc/mean1: 0.6144 2023/02/02 19:20:02 - mmengine - INFO - Epoch(train) [197][ 20/1879] lr: 1.6961e-02 eta: 16:04:49 time: 0.7287 data_time: 0.2614 memory: 18104 grad_norm: 5.0920 loss: 3.0847 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8419 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.2427 2023/02/02 19:20:12 - mmengine - INFO - Epoch(train) [197][ 40/1879] lr: 1.6955e-02 eta: 16:04:38 time: 0.4906 data_time: 0.0350 memory: 18104 grad_norm: 4.9918 loss: 2.8979 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6573 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.2406 2023/02/02 19:20:22 - mmengine - INFO - Epoch(train) [197][ 60/1879] lr: 1.6950e-02 eta: 16:04:26 time: 0.4858 data_time: 0.0334 memory: 18104 grad_norm: 5.0081 loss: 3.0178 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.7364 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.2815 2023/02/02 19:20:33 - mmengine - INFO - Epoch(train) [197][ 80/1879] lr: 1.6944e-02 eta: 16:04:18 time: 0.5449 data_time: 0.0443 memory: 18104 grad_norm: 5.1212 loss: 2.9523 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.6961 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.2563 2023/02/02 19:20:43 - mmengine - INFO - Epoch(train) [197][ 100/1879] lr: 1.6938e-02 eta: 16:04:06 time: 0.4901 data_time: 0.0382 memory: 18104 grad_norm: 5.0039 loss: 2.9279 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6921 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.2359 2023/02/02 19:20:52 - mmengine - INFO - Epoch(train) [197][ 120/1879] lr: 1.6933e-02 eta: 16:03:54 time: 0.4761 data_time: 0.0333 memory: 18104 grad_norm: 4.8741 loss: 2.9488 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 1.7078 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.2410 2023/02/02 19:21:02 - mmengine - INFO - Epoch(train) [197][ 140/1879] lr: 1.6927e-02 eta: 16:03:43 time: 0.5028 data_time: 0.0344 memory: 18104 grad_norm: 5.0171 loss: 2.9901 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7380 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 1.2521 2023/02/02 19:21:12 - mmengine - INFO - Epoch(train) [197][ 160/1879] lr: 1.6921e-02 eta: 16:03:33 time: 0.5108 data_time: 0.0406 memory: 18104 grad_norm: 5.0958 loss: 3.2049 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9125 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.2924 2023/02/02 19:21:22 - mmengine - INFO - Epoch(train) [197][ 180/1879] lr: 1.6916e-02 eta: 16:03:22 time: 0.4939 data_time: 0.0372 memory: 18104 grad_norm: 5.0077 loss: 2.9716 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.6894 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.2822 2023/02/02 19:21:32 - mmengine - INFO - Epoch(train) [197][ 200/1879] lr: 1.6910e-02 eta: 16:03:10 time: 0.4813 data_time: 0.0314 memory: 18104 grad_norm: 4.9958 loss: 3.0314 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7536 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.2778 2023/02/02 19:21:42 - mmengine - INFO - Epoch(train) [197][ 220/1879] lr: 1.6904e-02 eta: 16:02:59 time: 0.5101 data_time: 0.0338 memory: 18104 grad_norm: 5.1267 loss: 3.3477 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 2.0141 top1_acc_1: 0.6471 top5_acc_1: 0.9176 loss_cls_1: 1.3336 2023/02/02 19:21:52 - mmengine - INFO - Epoch(train) [197][ 240/1879] lr: 1.6899e-02 eta: 16:02:48 time: 0.5036 data_time: 0.0328 memory: 18104 grad_norm: 5.0105 loss: 2.9348 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.6459 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.2889 2023/02/02 19:22:02 - mmengine - INFO - Epoch(train) [197][ 260/1879] lr: 1.6893e-02 eta: 16:02:37 time: 0.4956 data_time: 0.0359 memory: 18104 grad_norm: 5.0890 loss: 3.1464 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8571 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.2893 2023/02/02 19:22:12 - mmengine - INFO - Epoch(train) [197][ 280/1879] lr: 1.6887e-02 eta: 16:02:26 time: 0.4969 data_time: 0.0413 memory: 18104 grad_norm: 5.0918 loss: 3.1523 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.8131 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.3392 2023/02/02 19:22:23 - mmengine - INFO - Epoch(train) [197][ 300/1879] lr: 1.6882e-02 eta: 16:02:17 time: 0.5296 data_time: 0.0361 memory: 18104 grad_norm: 4.9716 loss: 3.1149 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8703 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.2445 2023/02/02 19:22:33 - mmengine - INFO - Epoch(train) [197][ 320/1879] lr: 1.6876e-02 eta: 16:02:06 time: 0.5004 data_time: 0.0333 memory: 18104 grad_norm: 5.1193 loss: 2.9694 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7442 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.2252 2023/02/02 19:22:43 - mmengine - INFO - Epoch(train) [197][ 340/1879] lr: 1.6871e-02 eta: 16:01:55 time: 0.5094 data_time: 0.0367 memory: 18104 grad_norm: 5.0094 loss: 3.0331 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7949 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.2381 2023/02/02 19:22:53 - mmengine - INFO - Epoch(train) [197][ 360/1879] lr: 1.6865e-02 eta: 16:01:45 time: 0.5197 data_time: 0.0330 memory: 18104 grad_norm: 4.9911 loss: 2.9328 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6365 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.2963 2023/02/02 19:23:04 - mmengine - INFO - Epoch(train) [197][ 380/1879] lr: 1.6859e-02 eta: 16:01:35 time: 0.5159 data_time: 0.0374 memory: 18104 grad_norm: 4.9508 loss: 3.0082 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 1.7518 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.2564 2023/02/02 19:23:14 - mmengine - INFO - Epoch(train) [197][ 400/1879] lr: 1.6854e-02 eta: 16:01:24 time: 0.4994 data_time: 0.0315 memory: 18104 grad_norm: 4.9305 loss: 3.0720 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.7901 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 1.2820 2023/02/02 19:23:24 - mmengine - INFO - Epoch(train) [197][ 420/1879] lr: 1.6848e-02 eta: 16:01:14 time: 0.5122 data_time: 0.0449 memory: 18104 grad_norm: 4.8833 loss: 3.1459 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.8309 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.3150 2023/02/02 19:23:34 - mmengine - INFO - Epoch(train) [197][ 440/1879] lr: 1.6842e-02 eta: 16:01:04 time: 0.5199 data_time: 0.0297 memory: 18104 grad_norm: 5.0342 loss: 2.8974 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6685 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.2289 2023/02/02 19:23:45 - mmengine - INFO - Epoch(train) [197][ 460/1879] lr: 1.6837e-02 eta: 16:00:54 time: 0.5183 data_time: 0.0364 memory: 18104 grad_norm: 5.0270 loss: 3.0931 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.7800 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.3131 2023/02/02 19:23:55 - mmengine - INFO - Epoch(train) [197][ 480/1879] lr: 1.6831e-02 eta: 16:00:44 time: 0.5176 data_time: 0.0373 memory: 18104 grad_norm: 5.0391 loss: 2.9462 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.6770 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.2692 2023/02/02 19:24:06 - mmengine - INFO - Epoch(train) [197][ 500/1879] lr: 1.6825e-02 eta: 16:00:34 time: 0.5246 data_time: 0.0379 memory: 18104 grad_norm: 5.2195 loss: 3.0036 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7569 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.2467 2023/02/02 19:24:16 - mmengine - INFO - Epoch(train) [197][ 520/1879] lr: 1.6820e-02 eta: 16:00:25 time: 0.5297 data_time: 0.0325 memory: 18104 grad_norm: 5.0878 loss: 3.2232 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.8288 top1_acc_1: 0.5882 top5_acc_1: 0.7647 loss_cls_1: 1.3944 2023/02/02 19:24:27 - mmengine - INFO - Epoch(train) [197][ 540/1879] lr: 1.6814e-02 eta: 16:00:15 time: 0.5246 data_time: 0.0417 memory: 18104 grad_norm: 5.0452 loss: 3.2647 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9135 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.3512 2023/02/02 19:24:37 - mmengine - INFO - Epoch(train) [197][ 560/1879] lr: 1.6809e-02 eta: 16:00:05 time: 0.5182 data_time: 0.0290 memory: 18104 grad_norm: 5.0607 loss: 3.0315 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7944 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.2371 2023/02/02 19:24:48 - mmengine - INFO - Epoch(train) [197][ 580/1879] lr: 1.6803e-02 eta: 15:59:55 time: 0.5234 data_time: 0.0345 memory: 18104 grad_norm: 5.1179 loss: 3.2787 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9724 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.3063 2023/02/02 19:24:58 - mmengine - INFO - Epoch(train) [197][ 600/1879] lr: 1.6797e-02 eta: 15:59:45 time: 0.5229 data_time: 0.0299 memory: 18104 grad_norm: 5.1275 loss: 2.9640 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6815 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.2825 2023/02/02 19:25:09 - mmengine - INFO - Epoch(train) [197][ 620/1879] lr: 1.6792e-02 eta: 15:59:35 time: 0.5143 data_time: 0.0407 memory: 18104 grad_norm: 5.0593 loss: 3.1760 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8780 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.2980 2023/02/02 19:25:19 - mmengine - INFO - Epoch(train) [197][ 640/1879] lr: 1.6786e-02 eta: 15:59:26 time: 0.5394 data_time: 0.0357 memory: 18104 grad_norm: 5.0729 loss: 3.4409 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0646 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.3763 2023/02/02 19:25:30 - mmengine - INFO - Epoch(train) [197][ 660/1879] lr: 1.6780e-02 eta: 15:59:16 time: 0.5119 data_time: 0.0299 memory: 18104 grad_norm: 5.0202 loss: 3.0503 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.7878 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.2625 2023/02/02 19:25:40 - mmengine - INFO - Epoch(train) [197][ 680/1879] lr: 1.6775e-02 eta: 15:59:06 time: 0.5263 data_time: 0.0430 memory: 18104 grad_norm: 5.0529 loss: 3.1164 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7946 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.3218 2023/02/02 19:25:50 - mmengine - INFO - Epoch(train) [197][ 700/1879] lr: 1.6769e-02 eta: 15:58:56 time: 0.5152 data_time: 0.0301 memory: 18104 grad_norm: 5.1345 loss: 3.1209 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8420 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.2789 2023/02/02 19:25:59 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 19:26:01 - mmengine - INFO - Epoch(train) [197][ 720/1879] lr: 1.6764e-02 eta: 15:58:46 time: 0.5276 data_time: 0.0346 memory: 18104 grad_norm: 5.0435 loss: 3.1929 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8704 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.3225 2023/02/02 19:26:12 - mmengine - INFO - Epoch(train) [197][ 740/1879] lr: 1.6758e-02 eta: 15:58:37 time: 0.5219 data_time: 0.0367 memory: 18104 grad_norm: 5.0461 loss: 3.3485 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9940 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.3545 2023/02/02 19:26:22 - mmengine - INFO - Epoch(train) [197][ 760/1879] lr: 1.6752e-02 eta: 15:58:27 time: 0.5256 data_time: 0.0330 memory: 18104 grad_norm: 5.0568 loss: 2.9593 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7438 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.2155 2023/02/02 19:26:33 - mmengine - INFO - Epoch(train) [197][ 780/1879] lr: 1.6747e-02 eta: 15:58:17 time: 0.5251 data_time: 0.0288 memory: 18104 grad_norm: 5.1834 loss: 3.3251 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 2.0571 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.2680 2023/02/02 19:26:43 - mmengine - INFO - Epoch(train) [197][ 800/1879] lr: 1.6741e-02 eta: 15:58:08 time: 0.5291 data_time: 0.0435 memory: 18104 grad_norm: 5.0540 loss: 3.1089 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7373 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.3717 2023/02/02 19:26:53 - mmengine - INFO - Epoch(train) [197][ 820/1879] lr: 1.6735e-02 eta: 15:57:57 time: 0.5121 data_time: 0.0311 memory: 18104 grad_norm: 5.0284 loss: 3.0820 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7723 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.3097 2023/02/02 19:27:04 - mmengine - INFO - Epoch(train) [197][ 840/1879] lr: 1.6730e-02 eta: 15:57:48 time: 0.5328 data_time: 0.0353 memory: 18104 grad_norm: 5.1129 loss: 2.9385 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6593 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.2792 2023/02/02 19:27:15 - mmengine - INFO - Epoch(train) [197][ 860/1879] lr: 1.6724e-02 eta: 15:57:38 time: 0.5205 data_time: 0.0299 memory: 18104 grad_norm: 4.9921 loss: 3.1225 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.8611 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.2615 2023/02/02 19:27:25 - mmengine - INFO - Epoch(train) [197][ 880/1879] lr: 1.6719e-02 eta: 15:57:28 time: 0.5214 data_time: 0.0354 memory: 18104 grad_norm: 5.1555 loss: 3.0536 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7055 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.3481 2023/02/02 19:27:35 - mmengine - INFO - Epoch(train) [197][ 900/1879] lr: 1.6713e-02 eta: 15:57:18 time: 0.5130 data_time: 0.0312 memory: 18104 grad_norm: 4.9742 loss: 3.3790 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 2.0686 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.3104 2023/02/02 19:27:46 - mmengine - INFO - Epoch(train) [197][ 920/1879] lr: 1.6707e-02 eta: 15:57:08 time: 0.5157 data_time: 0.0356 memory: 18104 grad_norm: 5.0444 loss: 3.0080 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7653 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.2427 2023/02/02 19:27:56 - mmengine - INFO - Epoch(train) [197][ 940/1879] lr: 1.6702e-02 eta: 15:56:57 time: 0.5140 data_time: 0.0299 memory: 18104 grad_norm: 5.1217 loss: 3.0321 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.7719 top1_acc_1: 0.8235 top5_acc_1: 0.8941 loss_cls_1: 1.2602 2023/02/02 19:28:07 - mmengine - INFO - Epoch(train) [197][ 960/1879] lr: 1.6696e-02 eta: 15:56:48 time: 0.5378 data_time: 0.0369 memory: 18104 grad_norm: 5.1034 loss: 2.9221 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6145 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.3076 2023/02/02 19:28:17 - mmengine - INFO - Epoch(train) [197][ 980/1879] lr: 1.6690e-02 eta: 15:56:39 time: 0.5245 data_time: 0.0292 memory: 18104 grad_norm: 5.2017 loss: 3.1878 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 1.9005 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.2873 2023/02/02 19:28:28 - mmengine - INFO - Epoch(train) [197][1000/1879] lr: 1.6685e-02 eta: 15:56:29 time: 0.5255 data_time: 0.0451 memory: 18104 grad_norm: 5.0538 loss: 3.2018 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.9593 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.2425 2023/02/02 19:28:38 - mmengine - INFO - Epoch(train) [197][1020/1879] lr: 1.6679e-02 eta: 15:56:19 time: 0.5248 data_time: 0.0279 memory: 18104 grad_norm: 5.0831 loss: 3.1219 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9238 top1_acc_1: 0.6118 top5_acc_1: 0.9059 loss_cls_1: 1.1981 2023/02/02 19:28:49 - mmengine - INFO - Epoch(train) [197][1040/1879] lr: 1.6674e-02 eta: 15:56:10 time: 0.5315 data_time: 0.0361 memory: 18104 grad_norm: 5.0588 loss: 2.9408 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6558 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.2850 2023/02/02 19:28:59 - mmengine - INFO - Epoch(train) [197][1060/1879] lr: 1.6668e-02 eta: 15:55:59 time: 0.5076 data_time: 0.0296 memory: 18104 grad_norm: 5.1778 loss: 3.1887 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.9723 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.2164 2023/02/02 19:29:10 - mmengine - INFO - Epoch(train) [197][1080/1879] lr: 1.6662e-02 eta: 15:55:49 time: 0.5228 data_time: 0.0438 memory: 18104 grad_norm: 5.2188 loss: 3.1992 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8790 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.3202 2023/02/02 19:29:20 - mmengine - INFO - Epoch(train) [197][1100/1879] lr: 1.6657e-02 eta: 15:55:40 time: 0.5247 data_time: 0.0314 memory: 18104 grad_norm: 5.0200 loss: 3.0683 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.8759 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.1924 2023/02/02 19:29:31 - mmengine - INFO - Epoch(train) [197][1120/1879] lr: 1.6651e-02 eta: 15:55:30 time: 0.5355 data_time: 0.0358 memory: 18104 grad_norm: 5.0143 loss: 3.2792 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.9486 top1_acc_1: 0.6000 top5_acc_1: 0.8471 loss_cls_1: 1.3305 2023/02/02 19:29:41 - mmengine - INFO - Epoch(train) [197][1140/1879] lr: 1.6646e-02 eta: 15:55:20 time: 0.5105 data_time: 0.0280 memory: 18104 grad_norm: 5.0127 loss: 3.0822 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.7784 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.3038 2023/02/02 19:29:52 - mmengine - INFO - Epoch(train) [197][1160/1879] lr: 1.6640e-02 eta: 15:55:10 time: 0.5285 data_time: 0.0387 memory: 18104 grad_norm: 5.0384 loss: 3.3379 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 2.0142 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.3237 2023/02/02 19:30:02 - mmengine - INFO - Epoch(train) [197][1180/1879] lr: 1.6634e-02 eta: 15:55:01 time: 0.5265 data_time: 0.0300 memory: 18104 grad_norm: 5.0448 loss: 3.0997 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8183 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.2814 2023/02/02 19:30:12 - mmengine - INFO - Epoch(train) [197][1200/1879] lr: 1.6629e-02 eta: 15:54:50 time: 0.5140 data_time: 0.0350 memory: 18104 grad_norm: 5.0301 loss: 3.0605 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7752 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.2852 2023/02/02 19:30:23 - mmengine - INFO - Epoch(train) [197][1220/1879] lr: 1.6623e-02 eta: 15:54:40 time: 0.5137 data_time: 0.0372 memory: 18104 grad_norm: 5.1605 loss: 3.1673 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8499 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.3173 2023/02/02 19:30:34 - mmengine - INFO - Epoch(train) [197][1240/1879] lr: 1.6617e-02 eta: 15:54:31 time: 0.5456 data_time: 0.0371 memory: 18104 grad_norm: 5.1183 loss: 3.0961 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.8658 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 1.2303 2023/02/02 19:30:44 - mmengine - INFO - Epoch(train) [197][1260/1879] lr: 1.6612e-02 eta: 15:54:21 time: 0.5059 data_time: 0.0290 memory: 18104 grad_norm: 5.1602 loss: 3.2115 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9656 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.2458 2023/02/02 19:30:55 - mmengine - INFO - Epoch(train) [197][1280/1879] lr: 1.6606e-02 eta: 15:54:12 time: 0.5340 data_time: 0.0428 memory: 18104 grad_norm: 5.1083 loss: 3.2198 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8846 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.3352 2023/02/02 19:31:05 - mmengine - INFO - Epoch(train) [197][1300/1879] lr: 1.6601e-02 eta: 15:54:02 time: 0.5295 data_time: 0.0298 memory: 18104 grad_norm: 5.0992 loss: 2.9019 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6617 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.2402 2023/02/02 19:31:16 - mmengine - INFO - Epoch(train) [197][1320/1879] lr: 1.6595e-02 eta: 15:53:54 time: 0.5546 data_time: 0.0368 memory: 18104 grad_norm: 5.0861 loss: 3.1554 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 1.8013 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.3541 2023/02/02 19:31:27 - mmengine - INFO - Epoch(train) [197][1340/1879] lr: 1.6589e-02 eta: 15:53:44 time: 0.5160 data_time: 0.0308 memory: 18104 grad_norm: 5.1453 loss: 3.1259 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.8006 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.3253 2023/02/02 19:31:37 - mmengine - INFO - Epoch(train) [197][1360/1879] lr: 1.6584e-02 eta: 15:53:35 time: 0.5416 data_time: 0.0451 memory: 18104 grad_norm: 5.1593 loss: 3.0843 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.8040 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.2803 2023/02/02 19:31:48 - mmengine - INFO - Epoch(train) [197][1380/1879] lr: 1.6578e-02 eta: 15:53:26 time: 0.5399 data_time: 0.0292 memory: 18104 grad_norm: 5.0424 loss: 3.0186 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.6686 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.3499 2023/02/02 19:31:59 - mmengine - INFO - Epoch(train) [197][1400/1879] lr: 1.6573e-02 eta: 15:53:16 time: 0.5277 data_time: 0.0388 memory: 18104 grad_norm: 5.1034 loss: 2.7934 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.5366 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.2567 2023/02/02 19:32:10 - mmengine - INFO - Epoch(train) [197][1420/1879] lr: 1.6567e-02 eta: 15:53:07 time: 0.5414 data_time: 0.0299 memory: 18104 grad_norm: 4.9280 loss: 2.9486 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6115 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.3371 2023/02/02 19:32:21 - mmengine - INFO - Epoch(train) [197][1440/1879] lr: 1.6561e-02 eta: 15:52:59 time: 0.5690 data_time: 0.0446 memory: 18104 grad_norm: 5.0545 loss: 3.2059 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.9452 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.2607 2023/02/02 19:32:32 - mmengine - INFO - Epoch(train) [197][1460/1879] lr: 1.6556e-02 eta: 15:52:51 time: 0.5437 data_time: 0.0308 memory: 18104 grad_norm: 5.1144 loss: 3.2025 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9011 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.3013 2023/02/02 19:32:43 - mmengine - INFO - Epoch(train) [197][1480/1879] lr: 1.6550e-02 eta: 15:52:41 time: 0.5383 data_time: 0.0374 memory: 18104 grad_norm: 5.0857 loss: 2.8927 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6136 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.2792 2023/02/02 19:32:54 - mmengine - INFO - Epoch(train) [197][1500/1879] lr: 1.6545e-02 eta: 15:52:33 time: 0.5481 data_time: 0.0381 memory: 18104 grad_norm: 5.0836 loss: 3.4079 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 2.0310 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.3769 2023/02/02 19:33:05 - mmengine - INFO - Epoch(train) [197][1520/1879] lr: 1.6539e-02 eta: 15:52:25 time: 0.5554 data_time: 0.0364 memory: 18104 grad_norm: 5.1394 loss: 3.1028 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8671 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 1.2357 2023/02/02 19:33:16 - mmengine - INFO - Epoch(train) [197][1540/1879] lr: 1.6533e-02 eta: 15:52:15 time: 0.5394 data_time: 0.0281 memory: 18104 grad_norm: 5.1852 loss: 3.1472 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.8977 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.2495 2023/02/02 19:33:27 - mmengine - INFO - Epoch(train) [197][1560/1879] lr: 1.6528e-02 eta: 15:52:07 time: 0.5468 data_time: 0.0343 memory: 18104 grad_norm: 5.0825 loss: 3.1096 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8018 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.3078 2023/02/02 19:33:38 - mmengine - INFO - Epoch(train) [197][1580/1879] lr: 1.6522e-02 eta: 15:51:58 time: 0.5428 data_time: 0.0361 memory: 18104 grad_norm: 5.1339 loss: 3.3277 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9326 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.3950 2023/02/02 19:33:49 - mmengine - INFO - Epoch(train) [197][1600/1879] lr: 1.6517e-02 eta: 15:51:49 time: 0.5485 data_time: 0.0345 memory: 18104 grad_norm: 5.0162 loss: 3.1697 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8178 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.3519 2023/02/02 19:33:59 - mmengine - INFO - Epoch(train) [197][1620/1879] lr: 1.6511e-02 eta: 15:51:40 time: 0.5419 data_time: 0.0297 memory: 18104 grad_norm: 5.1336 loss: 3.0463 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8097 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.2366 2023/02/02 19:34:11 - mmengine - INFO - Epoch(train) [197][1640/1879] lr: 1.6505e-02 eta: 15:51:32 time: 0.5577 data_time: 0.0417 memory: 18104 grad_norm: 4.9897 loss: 3.0873 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.7769 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.3103 2023/02/02 19:34:22 - mmengine - INFO - Epoch(train) [197][1660/1879] lr: 1.6500e-02 eta: 15:51:23 time: 0.5471 data_time: 0.0290 memory: 18104 grad_norm: 5.0430 loss: 3.1693 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.8696 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.2997 2023/02/02 19:34:33 - mmengine - INFO - Epoch(train) [197][1680/1879] lr: 1.6494e-02 eta: 15:51:15 time: 0.5597 data_time: 0.0356 memory: 18104 grad_norm: 4.9750 loss: 3.1434 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.8707 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.2727 2023/02/02 19:34:44 - mmengine - INFO - Epoch(train) [197][1700/1879] lr: 1.6489e-02 eta: 15:51:07 time: 0.5600 data_time: 0.0313 memory: 18104 grad_norm: 5.0198 loss: 3.2501 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9975 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.2526 2023/02/02 19:34:53 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 19:34:55 - mmengine - INFO - Epoch(train) [197][1720/1879] lr: 1.6483e-02 eta: 15:50:58 time: 0.5438 data_time: 0.0419 memory: 18104 grad_norm: 5.0194 loss: 2.8936 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.5576 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.3360 2023/02/02 19:35:06 - mmengine - INFO - Epoch(train) [197][1740/1879] lr: 1.6478e-02 eta: 15:50:51 time: 0.5659 data_time: 0.0282 memory: 18104 grad_norm: 4.9687 loss: 3.0894 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7815 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.3079 2023/02/02 19:35:17 - mmengine - INFO - Epoch(train) [197][1760/1879] lr: 1.6472e-02 eta: 15:50:42 time: 0.5592 data_time: 0.0358 memory: 18104 grad_norm: 4.9656 loss: 2.9646 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.6669 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.2977 2023/02/02 19:35:29 - mmengine - INFO - Epoch(train) [197][1780/1879] lr: 1.6466e-02 eta: 15:50:34 time: 0.5591 data_time: 0.0300 memory: 18104 grad_norm: 5.2443 loss: 3.0726 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8087 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.2639 2023/02/02 19:35:39 - mmengine - INFO - Epoch(train) [197][1800/1879] lr: 1.6461e-02 eta: 15:50:25 time: 0.5384 data_time: 0.0349 memory: 18104 grad_norm: 5.1565 loss: 3.0010 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.7237 top1_acc_1: 0.5882 top5_acc_1: 0.7882 loss_cls_1: 1.2773 2023/02/02 19:35:50 - mmengine - INFO - Epoch(train) [197][1820/1879] lr: 1.6455e-02 eta: 15:50:16 time: 0.5384 data_time: 0.0305 memory: 18104 grad_norm: 5.1860 loss: 3.1443 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8146 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.3296 2023/02/02 19:36:01 - mmengine - INFO - Epoch(train) [197][1840/1879] lr: 1.6450e-02 eta: 15:50:07 time: 0.5485 data_time: 0.0347 memory: 18104 grad_norm: 5.1561 loss: 3.1298 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8230 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.3068 2023/02/02 19:36:12 - mmengine - INFO - Epoch(train) [197][1860/1879] lr: 1.6444e-02 eta: 15:49:59 time: 0.5475 data_time: 0.0351 memory: 18104 grad_norm: 5.0309 loss: 3.1243 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.8332 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.2911 2023/02/02 19:36:22 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 19:36:22 - mmengine - INFO - Epoch(train) [197][1879/1879] lr: 1.6439e-02 eta: 15:49:49 time: 0.5298 data_time: 0.0288 memory: 18104 grad_norm: 5.2021 loss: 2.9813 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 1.7434 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.2379 2023/02/02 19:36:37 - mmengine - INFO - Epoch(train) [198][ 20/1879] lr: 1.6433e-02 eta: 15:49:48 time: 0.7170 data_time: 0.2669 memory: 18104 grad_norm: 4.9311 loss: 3.1181 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 1.8203 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.2978 2023/02/02 19:36:46 - mmengine - INFO - Epoch(train) [198][ 40/1879] lr: 1.6428e-02 eta: 15:49:36 time: 0.4732 data_time: 0.0321 memory: 18104 grad_norm: 4.9869 loss: 3.1179 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.7719 top1_acc_1: 0.6118 top5_acc_1: 0.7647 loss_cls_1: 1.3460 2023/02/02 19:36:56 - mmengine - INFO - Epoch(train) [198][ 60/1879] lr: 1.6422e-02 eta: 15:49:24 time: 0.4839 data_time: 0.0365 memory: 18104 grad_norm: 5.0384 loss: 2.7924 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.5545 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.2378 2023/02/02 19:37:07 - mmengine - INFO - Epoch(train) [198][ 80/1879] lr: 1.6416e-02 eta: 15:49:14 time: 0.5203 data_time: 0.0310 memory: 18104 grad_norm: 4.9880 loss: 2.9300 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6546 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.2754 2023/02/02 19:37:16 - mmengine - INFO - Epoch(train) [198][ 100/1879] lr: 1.6411e-02 eta: 15:49:03 time: 0.4893 data_time: 0.0364 memory: 18104 grad_norm: 4.9909 loss: 3.2380 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.9926 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.2454 2023/02/02 19:37:26 - mmengine - INFO - Epoch(train) [198][ 120/1879] lr: 1.6405e-02 eta: 15:48:51 time: 0.4872 data_time: 0.0351 memory: 18104 grad_norm: 4.9761 loss: 2.9657 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7315 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.2343 2023/02/02 19:37:37 - mmengine - INFO - Epoch(train) [198][ 140/1879] lr: 1.6400e-02 eta: 15:48:41 time: 0.5222 data_time: 0.0428 memory: 18104 grad_norm: 5.0747 loss: 2.9612 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7783 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.1829 2023/02/02 19:37:46 - mmengine - INFO - Epoch(train) [198][ 160/1879] lr: 1.6394e-02 eta: 15:48:30 time: 0.4873 data_time: 0.0336 memory: 18104 grad_norm: 5.1336 loss: 3.1545 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 1.9772 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.1773 2023/02/02 19:37:56 - mmengine - INFO - Epoch(train) [198][ 180/1879] lr: 1.6389e-02 eta: 15:48:18 time: 0.4846 data_time: 0.0357 memory: 18104 grad_norm: 5.1083 loss: 2.8629 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6578 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.2051 2023/02/02 19:40:33 - mmengine - INFO - Epoch(train) [198][ 200/1879] lr: 1.6383e-02 eta: 15:53:51 time: 7.8356 data_time: 0.0334 memory: 18104 grad_norm: 5.0438 loss: 3.0237 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6818 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.3419 2023/02/02 19:40:43 - mmengine - INFO - Epoch(train) [198][ 220/1879] lr: 1.6377e-02 eta: 15:53:41 time: 0.5124 data_time: 0.0417 memory: 18104 grad_norm: 4.9332 loss: 2.9348 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.6962 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.2386 2023/02/02 19:40:53 - mmengine - INFO - Epoch(train) [198][ 240/1879] lr: 1.6372e-02 eta: 15:53:29 time: 0.4803 data_time: 0.0329 memory: 18104 grad_norm: 5.1210 loss: 3.0434 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7859 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.2575 2023/02/02 19:41:03 - mmengine - INFO - Epoch(train) [198][ 260/1879] lr: 1.6366e-02 eta: 15:53:17 time: 0.4886 data_time: 0.0379 memory: 18104 grad_norm: 5.1053 loss: 3.0624 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8553 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.2071 2023/02/02 19:41:12 - mmengine - INFO - Epoch(train) [198][ 280/1879] lr: 1.6361e-02 eta: 15:53:06 time: 0.4936 data_time: 0.0329 memory: 18104 grad_norm: 4.9742 loss: 3.2078 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9742 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.2336 2023/02/02 19:41:23 - mmengine - INFO - Epoch(train) [198][ 300/1879] lr: 1.6355e-02 eta: 15:52:55 time: 0.5080 data_time: 0.0369 memory: 18104 grad_norm: 5.1566 loss: 3.0652 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7703 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2950 2023/02/02 19:41:32 - mmengine - INFO - Epoch(train) [198][ 320/1879] lr: 1.6349e-02 eta: 15:52:43 time: 0.4805 data_time: 0.0333 memory: 18104 grad_norm: 5.1066 loss: 3.3895 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 2.0282 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.3613 2023/02/02 19:41:42 - mmengine - INFO - Epoch(train) [198][ 340/1879] lr: 1.6344e-02 eta: 15:52:32 time: 0.5003 data_time: 0.0348 memory: 18104 grad_norm: 5.1436 loss: 3.1430 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8825 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.2605 2023/02/02 19:41:52 - mmengine - INFO - Epoch(train) [198][ 360/1879] lr: 1.6338e-02 eta: 15:52:20 time: 0.4918 data_time: 0.0333 memory: 18104 grad_norm: 5.2175 loss: 2.9740 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7264 top1_acc_1: 0.7647 top5_acc_1: 0.8588 loss_cls_1: 1.2477 2023/02/02 19:42:02 - mmengine - INFO - Epoch(train) [198][ 380/1879] lr: 1.6333e-02 eta: 15:52:09 time: 0.4997 data_time: 0.0362 memory: 18104 grad_norm: 5.1568 loss: 2.8753 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.6221 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.2532 2023/02/02 19:42:12 - mmengine - INFO - Epoch(train) [198][ 400/1879] lr: 1.6327e-02 eta: 15:51:57 time: 0.4776 data_time: 0.0344 memory: 18104 grad_norm: 5.0075 loss: 3.0821 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8465 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 1.2356 2023/02/02 19:42:22 - mmengine - INFO - Epoch(train) [198][ 420/1879] lr: 1.6322e-02 eta: 15:51:46 time: 0.5130 data_time: 0.0433 memory: 18104 grad_norm: 4.9574 loss: 3.0273 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7351 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.2923 2023/02/02 19:42:32 - mmengine - INFO - Epoch(train) [198][ 440/1879] lr: 1.6316e-02 eta: 15:51:35 time: 0.4985 data_time: 0.0352 memory: 18104 grad_norm: 5.0421 loss: 3.1075 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7831 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.3245 2023/02/02 19:42:42 - mmengine - INFO - Epoch(train) [198][ 460/1879] lr: 1.6311e-02 eta: 15:51:23 time: 0.4924 data_time: 0.0346 memory: 18104 grad_norm: 5.0456 loss: 3.2446 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9665 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.2781 2023/02/02 19:42:52 - mmengine - INFO - Epoch(train) [198][ 480/1879] lr: 1.6305e-02 eta: 15:51:13 time: 0.5045 data_time: 0.0333 memory: 18104 grad_norm: 5.1595 loss: 2.8662 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.6087 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 1.2575 2023/02/02 19:43:02 - mmengine - INFO - Epoch(train) [198][ 500/1879] lr: 1.6299e-02 eta: 15:51:01 time: 0.4994 data_time: 0.0425 memory: 18104 grad_norm: 5.1359 loss: 3.0476 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7754 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.2721 2023/02/02 19:43:12 - mmengine - INFO - Epoch(train) [198][ 520/1879] lr: 1.6294e-02 eta: 15:50:50 time: 0.5005 data_time: 0.0335 memory: 18104 grad_norm: 5.1462 loss: 2.8602 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.5905 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.2698 2023/02/02 19:43:22 - mmengine - INFO - Epoch(train) [198][ 540/1879] lr: 1.6288e-02 eta: 15:50:39 time: 0.4915 data_time: 0.0367 memory: 18104 grad_norm: 5.0926 loss: 3.1466 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8629 top1_acc_1: 0.7412 top5_acc_1: 0.8353 loss_cls_1: 1.2837 2023/02/02 19:43:32 - mmengine - INFO - Epoch(train) [198][ 560/1879] lr: 1.6283e-02 eta: 15:50:28 time: 0.5029 data_time: 0.0318 memory: 18104 grad_norm: 5.2821 loss: 3.1456 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.8623 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.2833 2023/02/02 19:43:42 - mmengine - INFO - Epoch(train) [198][ 580/1879] lr: 1.6277e-02 eta: 15:50:18 time: 0.5192 data_time: 0.0411 memory: 18104 grad_norm: 5.1547 loss: 2.9934 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.7753 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.2181 2023/02/02 19:43:52 - mmengine - INFO - Epoch(train) [198][ 600/1879] lr: 1.6272e-02 eta: 15:50:06 time: 0.5010 data_time: 0.0345 memory: 18104 grad_norm: 5.1221 loss: 3.2260 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.8906 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.3354 2023/02/02 19:44:03 - mmengine - INFO - Epoch(train) [198][ 620/1879] lr: 1.6266e-02 eta: 15:49:56 time: 0.5130 data_time: 0.0343 memory: 18104 grad_norm: 5.1467 loss: 3.2124 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9108 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.3016 2023/02/02 19:44:13 - mmengine - INFO - Epoch(train) [198][ 640/1879] lr: 1.6260e-02 eta: 15:49:45 time: 0.5148 data_time: 0.0403 memory: 18104 grad_norm: 5.0477 loss: 3.1770 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8672 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.3098 2023/02/02 19:44:23 - mmengine - INFO - Epoch(train) [198][ 660/1879] lr: 1.6255e-02 eta: 15:49:34 time: 0.4984 data_time: 0.0338 memory: 18104 grad_norm: 5.1176 loss: 3.0171 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8350 top1_acc_1: 0.8471 top5_acc_1: 0.9647 loss_cls_1: 1.1821 2023/02/02 19:44:33 - mmengine - INFO - Epoch(train) [198][ 680/1879] lr: 1.6249e-02 eta: 15:49:23 time: 0.5020 data_time: 0.0342 memory: 18104 grad_norm: 5.0119 loss: 2.8872 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.5979 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.2893 2023/02/02 19:44:43 - mmengine - INFO - Epoch(train) [198][ 700/1879] lr: 1.6244e-02 eta: 15:49:13 time: 0.5134 data_time: 0.0355 memory: 18104 grad_norm: 5.1511 loss: 3.0646 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.8267 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.2378 2023/02/02 19:44:53 - mmengine - INFO - Epoch(train) [198][ 720/1879] lr: 1.6238e-02 eta: 15:49:01 time: 0.4977 data_time: 0.0393 memory: 18104 grad_norm: 5.1857 loss: 2.8970 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6790 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.2180 2023/02/02 19:45:03 - mmengine - INFO - Epoch(train) [198][ 740/1879] lr: 1.6233e-02 eta: 15:48:50 time: 0.5026 data_time: 0.0370 memory: 18104 grad_norm: 5.1826 loss: 2.9982 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6948 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.3034 2023/02/02 19:45:13 - mmengine - INFO - Epoch(train) [198][ 760/1879] lr: 1.6227e-02 eta: 15:48:40 time: 0.5033 data_time: 0.0342 memory: 18104 grad_norm: 5.0703 loss: 3.1367 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.8121 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.3246 2023/02/02 19:45:24 - mmengine - INFO - Epoch(train) [198][ 780/1879] lr: 1.6222e-02 eta: 15:48:29 time: 0.5235 data_time: 0.0340 memory: 18104 grad_norm: 5.1674 loss: 3.1014 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9023 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.1991 2023/02/02 19:45:34 - mmengine - INFO - Epoch(train) [198][ 800/1879] lr: 1.6216e-02 eta: 15:48:19 time: 0.5101 data_time: 0.0388 memory: 18104 grad_norm: 5.0735 loss: 2.9450 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.6496 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.2954 2023/02/02 19:45:45 - mmengine - INFO - Epoch(train) [198][ 820/1879] lr: 1.6210e-02 eta: 15:48:09 time: 0.5182 data_time: 0.0369 memory: 18104 grad_norm: 5.2234 loss: 3.1541 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.8055 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.3486 2023/02/02 19:45:53 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 19:45:55 - mmengine - INFO - Epoch(train) [198][ 840/1879] lr: 1.6205e-02 eta: 15:47:59 time: 0.5241 data_time: 0.0322 memory: 18104 grad_norm: 5.1480 loss: 2.8487 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.6156 top1_acc_1: 0.6471 top5_acc_1: 0.9294 loss_cls_1: 1.2331 2023/02/02 19:46:05 - mmengine - INFO - Epoch(train) [198][ 860/1879] lr: 1.6199e-02 eta: 15:47:48 time: 0.5125 data_time: 0.0339 memory: 18104 grad_norm: 5.0292 loss: 2.8599 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6094 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.2505 2023/02/02 19:46:16 - mmengine - INFO - Epoch(train) [198][ 880/1879] lr: 1.6194e-02 eta: 15:47:37 time: 0.5081 data_time: 0.0329 memory: 18104 grad_norm: 5.1910 loss: 3.1213 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8977 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.2236 2023/02/02 19:46:26 - mmengine - INFO - Epoch(train) [198][ 900/1879] lr: 1.6188e-02 eta: 15:47:28 time: 0.5345 data_time: 0.0345 memory: 18104 grad_norm: 5.1787 loss: 3.1950 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.8754 top1_acc_1: 0.6353 top5_acc_1: 0.9294 loss_cls_1: 1.3196 2023/02/02 19:46:37 - mmengine - INFO - Epoch(train) [198][ 920/1879] lr: 1.6183e-02 eta: 15:47:17 time: 0.5130 data_time: 0.0339 memory: 18104 grad_norm: 5.2286 loss: 2.9080 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.6538 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.2541 2023/02/02 19:46:47 - mmengine - INFO - Epoch(train) [198][ 940/1879] lr: 1.6177e-02 eta: 15:47:07 time: 0.5191 data_time: 0.0428 memory: 18104 grad_norm: 5.1164 loss: 3.3897 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 2.1055 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.2842 2023/02/02 19:46:57 - mmengine - INFO - Epoch(train) [198][ 960/1879] lr: 1.6172e-02 eta: 15:46:56 time: 0.4966 data_time: 0.0338 memory: 18104 grad_norm: 4.9979 loss: 2.9009 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6421 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.2588 2023/02/02 19:47:07 - mmengine - INFO - Epoch(train) [198][ 980/1879] lr: 1.6166e-02 eta: 15:46:45 time: 0.5211 data_time: 0.0355 memory: 18104 grad_norm: 5.2280 loss: 3.0687 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7493 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.3195 2023/02/02 19:47:17 - mmengine - INFO - Epoch(train) [198][1000/1879] lr: 1.6161e-02 eta: 15:46:35 time: 0.5040 data_time: 0.0401 memory: 18104 grad_norm: 5.1626 loss: 3.1923 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9179 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.2744 2023/02/02 19:47:28 - mmengine - INFO - Epoch(train) [198][1020/1879] lr: 1.6155e-02 eta: 15:46:24 time: 0.5140 data_time: 0.0345 memory: 18104 grad_norm: 5.0804 loss: 3.1781 top1_acc_0: 0.3125 top5_acc_0: 0.8750 loss_cls_0: 1.8837 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.2944 2023/02/02 19:47:38 - mmengine - INFO - Epoch(train) [198][1040/1879] lr: 1.6149e-02 eta: 15:46:13 time: 0.5051 data_time: 0.0317 memory: 18104 grad_norm: 5.2454 loss: 3.2118 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9964 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.2154 2023/02/02 19:47:48 - mmengine - INFO - Epoch(train) [198][1060/1879] lr: 1.6144e-02 eta: 15:46:03 time: 0.5119 data_time: 0.0361 memory: 18104 grad_norm: 5.2105 loss: 3.0169 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7201 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.2968 2023/02/02 19:47:58 - mmengine - INFO - Epoch(train) [198][1080/1879] lr: 1.6138e-02 eta: 15:45:52 time: 0.5064 data_time: 0.0329 memory: 18104 grad_norm: 5.0597 loss: 3.1810 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.9320 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2490 2023/02/02 19:48:09 - mmengine - INFO - Epoch(train) [198][1100/1879] lr: 1.6133e-02 eta: 15:45:41 time: 0.5148 data_time: 0.0353 memory: 18104 grad_norm: 5.1752 loss: 3.2888 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.9249 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.3639 2023/02/02 19:48:19 - mmengine - INFO - Epoch(train) [198][1120/1879] lr: 1.6127e-02 eta: 15:45:30 time: 0.4977 data_time: 0.0341 memory: 18104 grad_norm: 5.0047 loss: 3.1200 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7138 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.4062 2023/02/02 19:48:29 - mmengine - INFO - Epoch(train) [198][1140/1879] lr: 1.6122e-02 eta: 15:45:20 time: 0.5185 data_time: 0.0362 memory: 18104 grad_norm: 5.0801 loss: 3.1750 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9017 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.2733 2023/02/02 19:48:39 - mmengine - INFO - Epoch(train) [198][1160/1879] lr: 1.6116e-02 eta: 15:45:09 time: 0.5042 data_time: 0.0330 memory: 18104 grad_norm: 5.0314 loss: 3.2687 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.9485 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.3203 2023/02/02 19:48:49 - mmengine - INFO - Epoch(train) [198][1180/1879] lr: 1.6111e-02 eta: 15:44:58 time: 0.5096 data_time: 0.0353 memory: 18104 grad_norm: 5.1908 loss: 3.1012 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8119 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.2893 2023/02/02 19:48:59 - mmengine - INFO - Epoch(train) [198][1200/1879] lr: 1.6105e-02 eta: 15:44:47 time: 0.4989 data_time: 0.0322 memory: 18104 grad_norm: 5.0224 loss: 3.0169 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.7554 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.2615 2023/02/02 19:49:10 - mmengine - INFO - Epoch(train) [198][1220/1879] lr: 1.6100e-02 eta: 15:44:37 time: 0.5251 data_time: 0.0434 memory: 18104 grad_norm: 5.1239 loss: 3.2258 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.8766 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.3491 2023/02/02 19:49:20 - mmengine - INFO - Epoch(train) [198][1240/1879] lr: 1.6094e-02 eta: 15:44:25 time: 0.4864 data_time: 0.0345 memory: 18104 grad_norm: 5.0156 loss: 2.9730 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7234 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.2496 2023/02/02 19:49:30 - mmengine - INFO - Epoch(train) [198][1260/1879] lr: 1.6089e-02 eta: 15:44:15 time: 0.5076 data_time: 0.0376 memory: 18104 grad_norm: 5.1384 loss: 3.1551 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8161 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.3390 2023/02/02 19:49:40 - mmengine - INFO - Epoch(train) [198][1280/1879] lr: 1.6083e-02 eta: 15:44:04 time: 0.5053 data_time: 0.0329 memory: 18104 grad_norm: 5.0964 loss: 2.9240 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.6770 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.2469 2023/02/02 19:49:50 - mmengine - INFO - Epoch(train) [198][1300/1879] lr: 1.6077e-02 eta: 15:43:53 time: 0.5136 data_time: 0.0359 memory: 18104 grad_norm: 5.2037 loss: 2.9324 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.6519 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.2805 2023/02/02 19:50:00 - mmengine - INFO - Epoch(train) [198][1320/1879] lr: 1.6072e-02 eta: 15:43:42 time: 0.4909 data_time: 0.0339 memory: 18104 grad_norm: 5.0895 loss: 2.8970 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.5909 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.3061 2023/02/02 19:50:10 - mmengine - INFO - Epoch(train) [198][1340/1879] lr: 1.6066e-02 eta: 15:43:31 time: 0.5154 data_time: 0.0345 memory: 18104 grad_norm: 5.1500 loss: 2.9204 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6712 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.2492 2023/02/02 19:50:20 - mmengine - INFO - Epoch(train) [198][1360/1879] lr: 1.6061e-02 eta: 15:43:20 time: 0.4997 data_time: 0.0344 memory: 18104 grad_norm: 5.1946 loss: 3.0610 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.7935 top1_acc_1: 0.7412 top5_acc_1: 0.9647 loss_cls_1: 1.2674 2023/02/02 19:50:30 - mmengine - INFO - Epoch(train) [198][1380/1879] lr: 1.6055e-02 eta: 15:43:09 time: 0.5065 data_time: 0.0419 memory: 18104 grad_norm: 5.1228 loss: 3.2521 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.8202 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.4319 2023/02/02 19:50:40 - mmengine - INFO - Epoch(train) [198][1400/1879] lr: 1.6050e-02 eta: 15:42:58 time: 0.4836 data_time: 0.0345 memory: 18104 grad_norm: 5.1060 loss: 2.9969 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.6905 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.3063 2023/02/02 19:50:51 - mmengine - INFO - Epoch(train) [198][1420/1879] lr: 1.6044e-02 eta: 15:42:48 time: 0.5231 data_time: 0.0365 memory: 18104 grad_norm: 5.1266 loss: 2.9842 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6867 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2975 2023/02/02 19:51:01 - mmengine - INFO - Epoch(train) [198][1440/1879] lr: 1.6039e-02 eta: 15:42:36 time: 0.4964 data_time: 0.0412 memory: 18104 grad_norm: 5.1161 loss: 3.1888 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9214 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.2673 2023/02/02 19:51:11 - mmengine - INFO - Epoch(train) [198][1460/1879] lr: 1.6033e-02 eta: 15:42:25 time: 0.5016 data_time: 0.0359 memory: 18104 grad_norm: 5.1533 loss: 3.2143 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.8792 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.3351 2023/02/02 19:51:20 - mmengine - INFO - Epoch(train) [198][1480/1879] lr: 1.6028e-02 eta: 15:42:14 time: 0.4909 data_time: 0.0342 memory: 18104 grad_norm: 5.0804 loss: 3.1880 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8375 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.3505 2023/02/02 19:51:31 - mmengine - INFO - Epoch(train) [198][1500/1879] lr: 1.6022e-02 eta: 15:42:03 time: 0.5024 data_time: 0.0366 memory: 18104 grad_norm: 5.1842 loss: 3.1016 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.7920 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.3096 2023/02/02 19:51:40 - mmengine - INFO - Epoch(train) [198][1520/1879] lr: 1.6017e-02 eta: 15:41:51 time: 0.4925 data_time: 0.0407 memory: 18104 grad_norm: 5.2658 loss: 3.1082 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 1.8515 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.2567 2023/02/02 19:51:50 - mmengine - INFO - Epoch(train) [198][1540/1879] lr: 1.6011e-02 eta: 15:41:40 time: 0.4935 data_time: 0.0356 memory: 18104 grad_norm: 5.3023 loss: 3.1876 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.9426 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.2450 2023/02/02 19:52:00 - mmengine - INFO - Epoch(train) [198][1560/1879] lr: 1.6006e-02 eta: 15:41:29 time: 0.5016 data_time: 0.0334 memory: 18104 grad_norm: 5.0270 loss: 3.1244 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.7986 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.3258 2023/02/02 19:52:10 - mmengine - INFO - Epoch(train) [198][1580/1879] lr: 1.6000e-02 eta: 15:41:18 time: 0.5047 data_time: 0.0343 memory: 18104 grad_norm: 5.1694 loss: 2.9071 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6323 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.2748 2023/02/02 19:52:20 - mmengine - INFO - Epoch(train) [198][1600/1879] lr: 1.5995e-02 eta: 15:41:07 time: 0.4938 data_time: 0.0405 memory: 18104 grad_norm: 5.2221 loss: 2.9224 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6727 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2497 2023/02/02 19:52:30 - mmengine - INFO - Epoch(train) [198][1620/1879] lr: 1.5989e-02 eta: 15:40:55 time: 0.4954 data_time: 0.0347 memory: 18104 grad_norm: 5.2005 loss: 3.1219 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8637 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.2582 2023/02/02 19:52:40 - mmengine - INFO - Epoch(train) [198][1640/1879] lr: 1.5984e-02 eta: 15:40:44 time: 0.4923 data_time: 0.0334 memory: 18104 grad_norm: 5.1824 loss: 3.1479 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7724 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.3755 2023/02/02 19:52:50 - mmengine - INFO - Epoch(train) [198][1660/1879] lr: 1.5978e-02 eta: 15:40:33 time: 0.5114 data_time: 0.0432 memory: 18104 grad_norm: 5.0519 loss: 3.1702 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.8048 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 1.3654 2023/02/02 19:53:01 - mmengine - INFO - Epoch(train) [198][1680/1879] lr: 1.5972e-02 eta: 15:40:22 time: 0.5036 data_time: 0.0339 memory: 18104 grad_norm: 5.1305 loss: 3.0181 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.7574 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 1.2606 2023/02/02 19:53:11 - mmengine - INFO - Epoch(train) [198][1700/1879] lr: 1.5967e-02 eta: 15:40:12 time: 0.5131 data_time: 0.0354 memory: 18104 grad_norm: 5.1765 loss: 3.1204 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.8109 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.3095 2023/02/02 19:53:21 - mmengine - INFO - Epoch(train) [198][1720/1879] lr: 1.5961e-02 eta: 15:40:02 time: 0.5209 data_time: 0.0344 memory: 18104 grad_norm: 5.0334 loss: 3.3571 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 2.0635 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.2936 2023/02/02 19:53:31 - mmengine - INFO - Epoch(train) [198][1740/1879] lr: 1.5956e-02 eta: 15:39:51 time: 0.5106 data_time: 0.0489 memory: 18104 grad_norm: 5.1093 loss: 3.0811 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7842 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.2969 2023/02/02 19:53:42 - mmengine - INFO - Epoch(train) [198][1760/1879] lr: 1.5950e-02 eta: 15:39:40 time: 0.5019 data_time: 0.0335 memory: 18104 grad_norm: 5.1261 loss: 3.0062 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7801 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.2260 2023/02/02 19:53:52 - mmengine - INFO - Epoch(train) [198][1780/1879] lr: 1.5945e-02 eta: 15:39:30 time: 0.5176 data_time: 0.0359 memory: 18104 grad_norm: 5.0484 loss: 3.1058 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7680 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.3378 2023/02/02 19:54:02 - mmengine - INFO - Epoch(train) [198][1800/1879] lr: 1.5939e-02 eta: 15:39:19 time: 0.5104 data_time: 0.0338 memory: 18104 grad_norm: 5.0584 loss: 3.1382 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.8390 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.2992 2023/02/02 19:54:12 - mmengine - INFO - Epoch(train) [198][1820/1879] lr: 1.5934e-02 eta: 15:39:09 time: 0.5078 data_time: 0.0415 memory: 18104 grad_norm: 5.0934 loss: 2.7978 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.5803 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.2175 2023/02/02 19:54:21 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 19:54:22 - mmengine - INFO - Epoch(train) [198][1840/1879] lr: 1.5928e-02 eta: 15:38:58 time: 0.5057 data_time: 0.0347 memory: 18104 grad_norm: 5.1659 loss: 3.2163 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.8430 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.3733 2023/02/02 19:54:33 - mmengine - INFO - Epoch(train) [198][1860/1879] lr: 1.5923e-02 eta: 15:38:47 time: 0.5091 data_time: 0.0352 memory: 18104 grad_norm: 5.1175 loss: 2.9438 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.6437 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.3001 2023/02/02 19:54:42 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 19:54:42 - mmengine - INFO - Epoch(train) [198][1879/1879] lr: 1.5918e-02 eta: 15:38:35 time: 0.4706 data_time: 0.0301 memory: 18104 grad_norm: 5.1935 loss: 3.1350 top1_acc_0: 0.7143 top5_acc_0: 0.8571 loss_cls_0: 1.8436 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.2913 2023/02/02 19:54:57 - mmengine - INFO - Epoch(train) [199][ 20/1879] lr: 1.5912e-02 eta: 15:38:34 time: 0.7308 data_time: 0.2651 memory: 18104 grad_norm: 5.1906 loss: 2.9336 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.6169 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.3167 2023/02/02 19:55:06 - mmengine - INFO - Epoch(train) [199][ 40/1879] lr: 1.5907e-02 eta: 15:38:22 time: 0.4732 data_time: 0.0314 memory: 18104 grad_norm: 4.9026 loss: 2.8129 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.5650 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2479 2023/02/02 19:55:16 - mmengine - INFO - Epoch(train) [199][ 60/1879] lr: 1.5901e-02 eta: 15:38:11 time: 0.4971 data_time: 0.0406 memory: 18104 grad_norm: 5.1316 loss: 3.0259 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7998 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.2260 2023/02/02 19:55:26 - mmengine - INFO - Epoch(train) [199][ 80/1879] lr: 1.5896e-02 eta: 15:38:00 time: 0.5028 data_time: 0.0313 memory: 18104 grad_norm: 5.0841 loss: 2.9443 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.6816 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.2626 2023/02/02 19:55:36 - mmengine - INFO - Epoch(train) [199][ 100/1879] lr: 1.5890e-02 eta: 15:37:49 time: 0.4950 data_time: 0.0389 memory: 18104 grad_norm: 5.0653 loss: 3.1623 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8758 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.2865 2023/02/02 19:55:46 - mmengine - INFO - Epoch(train) [199][ 120/1879] lr: 1.5885e-02 eta: 15:37:37 time: 0.4806 data_time: 0.0292 memory: 18104 grad_norm: 5.1144 loss: 2.9137 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.6185 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.2952 2023/02/02 19:55:56 - mmengine - INFO - Epoch(train) [199][ 140/1879] lr: 1.5879e-02 eta: 15:37:27 time: 0.5292 data_time: 0.0387 memory: 18104 grad_norm: 5.0611 loss: 2.9669 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6750 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.2920 2023/02/02 19:56:06 - mmengine - INFO - Epoch(train) [199][ 160/1879] lr: 1.5874e-02 eta: 15:37:15 time: 0.4805 data_time: 0.0315 memory: 18104 grad_norm: 5.0209 loss: 2.8222 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.5848 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.2374 2023/02/02 19:56:16 - mmengine - INFO - Epoch(train) [199][ 180/1879] lr: 1.5868e-02 eta: 15:37:04 time: 0.4898 data_time: 0.0395 memory: 18104 grad_norm: 5.0860 loss: 3.0497 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.7821 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.2676 2023/02/02 19:56:26 - mmengine - INFO - Epoch(train) [199][ 200/1879] lr: 1.5863e-02 eta: 15:36:53 time: 0.5099 data_time: 0.0310 memory: 18104 grad_norm: 5.0716 loss: 2.8716 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.6210 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2506 2023/02/02 19:56:37 - mmengine - INFO - Epoch(train) [199][ 220/1879] lr: 1.5857e-02 eta: 15:36:43 time: 0.5232 data_time: 0.0453 memory: 18104 grad_norm: 5.0960 loss: 2.8257 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4893 top1_acc_1: 0.6588 top5_acc_1: 0.9176 loss_cls_1: 1.3364 2023/02/02 19:56:46 - mmengine - INFO - Epoch(train) [199][ 240/1879] lr: 1.5852e-02 eta: 15:36:31 time: 0.4879 data_time: 0.0306 memory: 18104 grad_norm: 5.1852 loss: 2.8728 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6970 top1_acc_1: 0.8000 top5_acc_1: 0.8941 loss_cls_1: 1.1758 2023/02/02 19:56:57 - mmengine - INFO - Epoch(train) [199][ 260/1879] lr: 1.5846e-02 eta: 15:36:20 time: 0.5034 data_time: 0.0390 memory: 18104 grad_norm: 5.1337 loss: 3.0712 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.8561 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.2151 2023/02/02 19:57:07 - mmengine - INFO - Epoch(train) [199][ 280/1879] lr: 1.5841e-02 eta: 15:36:09 time: 0.5051 data_time: 0.0383 memory: 18104 grad_norm: 5.0907 loss: 2.9799 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.7192 top1_acc_1: 0.6941 top5_acc_1: 0.8000 loss_cls_1: 1.2607 2023/02/02 19:57:17 - mmengine - INFO - Epoch(train) [199][ 300/1879] lr: 1.5835e-02 eta: 15:35:59 time: 0.5181 data_time: 0.0363 memory: 18104 grad_norm: 5.0863 loss: 2.9159 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6799 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.2360 2023/02/02 19:57:27 - mmengine - INFO - Epoch(train) [199][ 320/1879] lr: 1.5830e-02 eta: 15:35:48 time: 0.4913 data_time: 0.0295 memory: 18104 grad_norm: 5.1253 loss: 3.0893 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.8104 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.2789 2023/02/02 19:57:37 - mmengine - INFO - Epoch(train) [199][ 340/1879] lr: 1.5824e-02 eta: 15:35:37 time: 0.5128 data_time: 0.0397 memory: 18104 grad_norm: 5.1220 loss: 3.1155 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8339 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.2816 2023/02/02 19:57:48 - mmengine - INFO - Epoch(train) [199][ 360/1879] lr: 1.5819e-02 eta: 15:35:27 time: 0.5177 data_time: 0.0402 memory: 18104 grad_norm: 5.1122 loss: 3.0593 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7716 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.2877 2023/02/02 19:57:58 - mmengine - INFO - Epoch(train) [199][ 380/1879] lr: 1.5813e-02 eta: 15:35:16 time: 0.5015 data_time: 0.0378 memory: 18104 grad_norm: 5.1972 loss: 3.0283 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7842 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.2441 2023/02/02 19:58:08 - mmengine - INFO - Epoch(train) [199][ 400/1879] lr: 1.5808e-02 eta: 15:35:05 time: 0.5075 data_time: 0.0315 memory: 18104 grad_norm: 5.0962 loss: 3.1277 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8175 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.3102 2023/02/02 19:58:18 - mmengine - INFO - Epoch(train) [199][ 420/1879] lr: 1.5802e-02 eta: 15:34:54 time: 0.5072 data_time: 0.0450 memory: 18104 grad_norm: 5.1021 loss: 2.9730 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.7394 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.2336 2023/02/02 19:58:28 - mmengine - INFO - Epoch(train) [199][ 440/1879] lr: 1.5797e-02 eta: 15:34:44 time: 0.5128 data_time: 0.0299 memory: 18104 grad_norm: 5.3314 loss: 2.9656 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.7894 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.1762 2023/02/02 19:58:38 - mmengine - INFO - Epoch(train) [199][ 460/1879] lr: 1.5791e-02 eta: 15:34:33 time: 0.5120 data_time: 0.0384 memory: 18104 grad_norm: 5.0319 loss: 3.0500 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.7289 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.3211 2023/02/02 19:58:49 - mmengine - INFO - Epoch(train) [199][ 480/1879] lr: 1.5786e-02 eta: 15:34:23 time: 0.5118 data_time: 0.0307 memory: 18104 grad_norm: 5.2611 loss: 3.1403 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8516 top1_acc_1: 0.5882 top5_acc_1: 0.8353 loss_cls_1: 1.2887 2023/02/02 19:58:59 - mmengine - INFO - Epoch(train) [199][ 500/1879] lr: 1.5780e-02 eta: 15:34:12 time: 0.5123 data_time: 0.0439 memory: 18104 grad_norm: 5.0875 loss: 3.1464 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8446 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.3019 2023/02/02 19:59:09 - mmengine - INFO - Epoch(train) [199][ 520/1879] lr: 1.5775e-02 eta: 15:34:02 time: 0.5101 data_time: 0.0292 memory: 18104 grad_norm: 5.1089 loss: 3.2903 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0052 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.2851 2023/02/02 19:59:20 - mmengine - INFO - Epoch(train) [199][ 540/1879] lr: 1.5769e-02 eta: 15:33:52 time: 0.5264 data_time: 0.0395 memory: 18104 grad_norm: 4.9640 loss: 3.0512 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8378 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2134 2023/02/02 19:59:30 - mmengine - INFO - Epoch(train) [199][ 560/1879] lr: 1.5764e-02 eta: 15:33:40 time: 0.4946 data_time: 0.0296 memory: 18104 grad_norm: 5.0456 loss: 3.0717 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.7704 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.3013 2023/02/02 19:59:40 - mmengine - INFO - Epoch(train) [199][ 580/1879] lr: 1.5758e-02 eta: 15:33:30 time: 0.5121 data_time: 0.0349 memory: 18104 grad_norm: 5.2267 loss: 3.0374 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.7740 top1_acc_1: 0.7412 top5_acc_1: 0.8353 loss_cls_1: 1.2634 2023/02/02 19:59:50 - mmengine - INFO - Epoch(train) [199][ 600/1879] lr: 1.5753e-02 eta: 15:33:19 time: 0.5004 data_time: 0.0292 memory: 18104 grad_norm: 5.3505 loss: 3.1921 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.9631 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.2291 2023/02/02 20:00:00 - mmengine - INFO - Epoch(train) [199][ 620/1879] lr: 1.5747e-02 eta: 15:33:08 time: 0.5138 data_time: 0.0421 memory: 18104 grad_norm: 5.1119 loss: 3.0794 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.8167 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.2628 2023/02/02 20:00:10 - mmengine - INFO - Epoch(train) [199][ 640/1879] lr: 1.5742e-02 eta: 15:32:57 time: 0.4913 data_time: 0.0310 memory: 18104 grad_norm: 5.1289 loss: 3.2484 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.8811 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.3673 2023/02/02 20:00:20 - mmengine - INFO - Epoch(train) [199][ 660/1879] lr: 1.5736e-02 eta: 15:32:47 time: 0.5177 data_time: 0.0386 memory: 18104 grad_norm: 5.2481 loss: 3.0165 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8469 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.1695 2023/02/02 20:00:31 - mmengine - INFO - Epoch(train) [199][ 680/1879] lr: 1.5731e-02 eta: 15:32:36 time: 0.5042 data_time: 0.0297 memory: 18104 grad_norm: 5.0674 loss: 3.0231 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.7787 top1_acc_1: 0.6941 top5_acc_1: 0.9529 loss_cls_1: 1.2444 2023/02/02 20:00:41 - mmengine - INFO - Epoch(train) [199][ 700/1879] lr: 1.5725e-02 eta: 15:32:25 time: 0.5080 data_time: 0.0445 memory: 18104 grad_norm: 5.1886 loss: 2.9259 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.5979 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.3280 2023/02/02 20:00:51 - mmengine - INFO - Epoch(train) [199][ 720/1879] lr: 1.5720e-02 eta: 15:32:15 time: 0.5121 data_time: 0.0290 memory: 18104 grad_norm: 5.1566 loss: 2.9795 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7564 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.2231 2023/02/02 20:01:01 - mmengine - INFO - Epoch(train) [199][ 740/1879] lr: 1.5714e-02 eta: 15:32:04 time: 0.5070 data_time: 0.0362 memory: 18104 grad_norm: 5.0580 loss: 3.1413 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 1.8288 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.3125 2023/02/02 20:01:11 - mmengine - INFO - Epoch(train) [199][ 760/1879] lr: 1.5709e-02 eta: 15:31:53 time: 0.5097 data_time: 0.0310 memory: 18104 grad_norm: 5.1169 loss: 2.9604 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7465 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.2139 2023/02/02 20:01:22 - mmengine - INFO - Epoch(train) [199][ 780/1879] lr: 1.5703e-02 eta: 15:31:42 time: 0.5049 data_time: 0.0378 memory: 18104 grad_norm: 5.1397 loss: 3.1465 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.9262 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.2203 2023/02/02 20:01:32 - mmengine - INFO - Epoch(train) [199][ 800/1879] lr: 1.5698e-02 eta: 15:31:32 time: 0.5079 data_time: 0.0301 memory: 18104 grad_norm: 5.1405 loss: 3.1886 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.8727 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.3158 2023/02/02 20:01:42 - mmengine - INFO - Epoch(train) [199][ 820/1879] lr: 1.5692e-02 eta: 15:31:21 time: 0.5075 data_time: 0.0370 memory: 18104 grad_norm: 5.0737 loss: 3.1377 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 1.8540 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.2837 2023/02/02 20:01:52 - mmengine - INFO - Epoch(train) [199][ 840/1879] lr: 1.5687e-02 eta: 15:31:10 time: 0.5007 data_time: 0.0296 memory: 18104 grad_norm: 5.0947 loss: 3.0550 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.8065 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.2485 2023/02/02 20:02:02 - mmengine - INFO - Epoch(train) [199][ 860/1879] lr: 1.5681e-02 eta: 15:30:58 time: 0.4926 data_time: 0.0395 memory: 18104 grad_norm: 5.1063 loss: 2.9782 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.7285 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.2497 2023/02/02 20:02:12 - mmengine - INFO - Epoch(train) [199][ 880/1879] lr: 1.5676e-02 eta: 15:30:47 time: 0.4923 data_time: 0.0294 memory: 18104 grad_norm: 5.1587 loss: 3.0849 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 1.8587 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.2262 2023/02/02 20:02:22 - mmengine - INFO - Epoch(train) [199][ 900/1879] lr: 1.5670e-02 eta: 15:30:36 time: 0.5102 data_time: 0.0494 memory: 18104 grad_norm: 5.3505 loss: 3.1023 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.8777 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.2246 2023/02/02 20:02:32 - mmengine - INFO - Epoch(train) [199][ 920/1879] lr: 1.5665e-02 eta: 15:30:26 time: 0.5038 data_time: 0.0307 memory: 18104 grad_norm: 5.0575 loss: 2.9671 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.7334 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.2337 2023/02/02 20:02:42 - mmengine - INFO - Epoch(train) [199][ 940/1879] lr: 1.5659e-02 eta: 15:30:14 time: 0.4897 data_time: 0.0367 memory: 18104 grad_norm: 5.2637 loss: 3.1320 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.8487 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.2833 2023/02/02 20:02:51 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 20:02:52 - mmengine - INFO - Epoch(train) [199][ 960/1879] lr: 1.5654e-02 eta: 15:30:03 time: 0.4983 data_time: 0.0308 memory: 18104 grad_norm: 5.1964 loss: 3.0509 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8147 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.2362 2023/02/02 20:03:02 - mmengine - INFO - Epoch(train) [199][ 980/1879] lr: 1.5649e-02 eta: 15:29:53 time: 0.5169 data_time: 0.0378 memory: 18104 grad_norm: 5.1532 loss: 2.8472 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.5747 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.2725 2023/02/02 20:03:12 - mmengine - INFO - Epoch(train) [199][1000/1879] lr: 1.5643e-02 eta: 15:29:41 time: 0.4908 data_time: 0.0288 memory: 18104 grad_norm: 5.1334 loss: 3.0263 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.7328 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.2935 2023/02/02 20:03:22 - mmengine - INFO - Epoch(train) [199][1020/1879] lr: 1.5638e-02 eta: 15:29:30 time: 0.4996 data_time: 0.0379 memory: 18104 grad_norm: 5.1625 loss: 3.0677 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.7924 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.2752 2023/02/02 20:03:32 - mmengine - INFO - Epoch(train) [199][1040/1879] lr: 1.5632e-02 eta: 15:29:19 time: 0.5025 data_time: 0.0376 memory: 18104 grad_norm: 5.2278 loss: 3.2172 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9458 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.2714 2023/02/02 20:03:42 - mmengine - INFO - Epoch(train) [199][1060/1879] lr: 1.5627e-02 eta: 15:29:08 time: 0.5062 data_time: 0.0392 memory: 18104 grad_norm: 5.1492 loss: 3.0315 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7455 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.2860 2023/02/02 20:03:52 - mmengine - INFO - Epoch(train) [199][1080/1879] lr: 1.5621e-02 eta: 15:28:57 time: 0.4836 data_time: 0.0314 memory: 18104 grad_norm: 5.0434 loss: 3.0974 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7716 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.3258 2023/02/02 20:04:02 - mmengine - INFO - Epoch(train) [199][1100/1879] lr: 1.5616e-02 eta: 15:28:46 time: 0.5027 data_time: 0.0389 memory: 18104 grad_norm: 5.1033 loss: 3.2599 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9433 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.3166 2023/02/02 20:04:12 - mmengine - INFO - Epoch(train) [199][1120/1879] lr: 1.5610e-02 eta: 15:28:35 time: 0.5079 data_time: 0.0390 memory: 18104 grad_norm: 5.1050 loss: 3.0647 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7813 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.2834 2023/02/02 20:04:22 - mmengine - INFO - Epoch(train) [199][1140/1879] lr: 1.5605e-02 eta: 15:28:24 time: 0.5071 data_time: 0.0396 memory: 18104 grad_norm: 5.1521 loss: 3.1448 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8888 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.2560 2023/02/02 20:04:32 - mmengine - INFO - Epoch(train) [199][1160/1879] lr: 1.5599e-02 eta: 15:28:13 time: 0.4902 data_time: 0.0292 memory: 18104 grad_norm: 5.1767 loss: 2.9954 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.7551 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.2404 2023/02/02 20:04:43 - mmengine - INFO - Epoch(train) [199][1180/1879] lr: 1.5594e-02 eta: 15:28:03 time: 0.5227 data_time: 0.0448 memory: 18104 grad_norm: 5.1994 loss: 3.0391 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.7584 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.2807 2023/02/02 20:04:53 - mmengine - INFO - Epoch(train) [199][1200/1879] lr: 1.5588e-02 eta: 15:27:52 time: 0.5104 data_time: 0.0332 memory: 18104 grad_norm: 5.2106 loss: 3.1133 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.8228 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.2906 2023/02/02 20:05:03 - mmengine - INFO - Epoch(train) [199][1220/1879] lr: 1.5583e-02 eta: 15:27:42 time: 0.5166 data_time: 0.0326 memory: 18104 grad_norm: 5.1984 loss: 3.1341 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8202 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.3140 2023/02/02 20:05:14 - mmengine - INFO - Epoch(train) [199][1240/1879] lr: 1.5577e-02 eta: 15:27:32 time: 0.5201 data_time: 0.0337 memory: 18104 grad_norm: 5.1470 loss: 2.9861 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7085 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.2776 2023/02/02 20:05:24 - mmengine - INFO - Epoch(train) [199][1260/1879] lr: 1.5572e-02 eta: 15:27:22 time: 0.5352 data_time: 0.0430 memory: 18104 grad_norm: 5.1972 loss: 3.2188 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9644 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.2544 2023/02/02 20:05:35 - mmengine - INFO - Epoch(train) [199][1280/1879] lr: 1.5567e-02 eta: 15:27:12 time: 0.5146 data_time: 0.0340 memory: 18104 grad_norm: 5.2297 loss: 3.0425 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.7640 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.2786 2023/02/02 20:05:45 - mmengine - INFO - Epoch(train) [199][1300/1879] lr: 1.5561e-02 eta: 15:27:02 time: 0.5277 data_time: 0.0340 memory: 18104 grad_norm: 5.1744 loss: 3.1831 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 1.8076 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.3755 2023/02/02 20:05:56 - mmengine - INFO - Epoch(train) [199][1320/1879] lr: 1.5556e-02 eta: 15:26:52 time: 0.5219 data_time: 0.0401 memory: 18104 grad_norm: 5.1388 loss: 3.1045 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8742 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.2304 2023/02/02 20:06:06 - mmengine - INFO - Epoch(train) [199][1340/1879] lr: 1.5550e-02 eta: 15:26:42 time: 0.5211 data_time: 0.0338 memory: 18104 grad_norm: 5.3468 loss: 3.0626 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7386 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.3239 2023/02/02 20:06:16 - mmengine - INFO - Epoch(train) [199][1360/1879] lr: 1.5545e-02 eta: 15:26:31 time: 0.5061 data_time: 0.0362 memory: 18104 grad_norm: 5.1139 loss: 3.1064 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7508 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.3556 2023/02/02 20:06:27 - mmengine - INFO - Epoch(train) [199][1380/1879] lr: 1.5539e-02 eta: 15:26:21 time: 0.5242 data_time: 0.0324 memory: 18104 grad_norm: 5.2666 loss: 2.9723 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7904 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 1.1818 2023/02/02 20:06:37 - mmengine - INFO - Epoch(train) [199][1400/1879] lr: 1.5534e-02 eta: 15:26:10 time: 0.5018 data_time: 0.0330 memory: 18104 grad_norm: 5.1353 loss: 3.0119 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7530 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.2589 2023/02/02 20:06:47 - mmengine - INFO - Epoch(train) [199][1420/1879] lr: 1.5528e-02 eta: 15:26:00 time: 0.5231 data_time: 0.0332 memory: 18104 grad_norm: 5.0672 loss: 3.0374 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7746 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.2628 2023/02/02 20:06:58 - mmengine - INFO - Epoch(train) [199][1440/1879] lr: 1.5523e-02 eta: 15:25:49 time: 0.5160 data_time: 0.0344 memory: 18104 grad_norm: 5.2782 loss: 3.0643 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7673 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.2970 2023/02/02 20:07:08 - mmengine - INFO - Epoch(train) [199][1460/1879] lr: 1.5517e-02 eta: 15:25:39 time: 0.5231 data_time: 0.0344 memory: 18104 grad_norm: 5.1491 loss: 3.0818 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7338 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.3480 2023/02/02 20:07:19 - mmengine - INFO - Epoch(train) [199][1480/1879] lr: 1.5512e-02 eta: 15:25:29 time: 0.5156 data_time: 0.0339 memory: 18104 grad_norm: 5.1770 loss: 3.0125 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.7379 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.2746 2023/02/02 20:07:29 - mmengine - INFO - Epoch(train) [199][1500/1879] lr: 1.5507e-02 eta: 15:25:19 time: 0.5237 data_time: 0.0334 memory: 18104 grad_norm: 5.1521 loss: 3.1062 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.7874 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.3188 2023/02/02 20:07:39 - mmengine - INFO - Epoch(train) [199][1520/1879] lr: 1.5501e-02 eta: 15:25:08 time: 0.5050 data_time: 0.0337 memory: 18104 grad_norm: 5.2549 loss: 3.2637 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.9388 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.3249 2023/02/02 20:07:50 - mmengine - INFO - Epoch(train) [199][1540/1879] lr: 1.5496e-02 eta: 15:24:58 time: 0.5265 data_time: 0.0402 memory: 18104 grad_norm: 5.1479 loss: 3.0495 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7839 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.2656 2023/02/02 20:08:00 - mmengine - INFO - Epoch(train) [199][1560/1879] lr: 1.5490e-02 eta: 15:24:48 time: 0.5134 data_time: 0.0333 memory: 18104 grad_norm: 5.2069 loss: 3.0610 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.7838 top1_acc_1: 0.6235 top5_acc_1: 0.7765 loss_cls_1: 1.2772 2023/02/02 20:08:10 - mmengine - INFO - Epoch(train) [199][1580/1879] lr: 1.5485e-02 eta: 15:24:38 time: 0.5207 data_time: 0.0333 memory: 18104 grad_norm: 5.1006 loss: 2.9541 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.6761 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.2780 2023/02/02 20:08:20 - mmengine - INFO - Epoch(train) [199][1600/1879] lr: 1.5479e-02 eta: 15:24:27 time: 0.4982 data_time: 0.0337 memory: 18104 grad_norm: 5.1855 loss: 3.1565 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.8104 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.3461 2023/02/02 20:08:31 - mmengine - INFO - Epoch(train) [199][1620/1879] lr: 1.5474e-02 eta: 15:24:16 time: 0.5178 data_time: 0.0359 memory: 18104 grad_norm: 5.1803 loss: 3.1516 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.7804 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.3713 2023/02/02 20:08:41 - mmengine - INFO - Epoch(train) [199][1640/1879] lr: 1.5468e-02 eta: 15:24:06 time: 0.5085 data_time: 0.0346 memory: 18104 grad_norm: 5.2111 loss: 3.0044 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7463 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.2581 2023/02/02 20:08:52 - mmengine - INFO - Epoch(train) [199][1660/1879] lr: 1.5463e-02 eta: 15:23:56 time: 0.5265 data_time: 0.0347 memory: 18104 grad_norm: 5.1188 loss: 3.0561 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7598 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.2963 2023/02/02 20:09:02 - mmengine - INFO - Epoch(train) [199][1680/1879] lr: 1.5457e-02 eta: 15:23:45 time: 0.5140 data_time: 0.0429 memory: 18104 grad_norm: 5.0947 loss: 2.9888 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7015 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.2873 2023/02/02 20:09:12 - mmengine - INFO - Epoch(train) [199][1700/1879] lr: 1.5452e-02 eta: 15:23:35 time: 0.5118 data_time: 0.0362 memory: 18104 grad_norm: 5.2330 loss: 3.2012 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.8944 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.3068 2023/02/02 20:09:22 - mmengine - INFO - Epoch(train) [199][1720/1879] lr: 1.5447e-02 eta: 15:23:24 time: 0.5111 data_time: 0.0343 memory: 18104 grad_norm: 5.0254 loss: 3.0773 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.8033 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.2740 2023/02/02 20:09:33 - mmengine - INFO - Epoch(train) [199][1740/1879] lr: 1.5441e-02 eta: 15:23:14 time: 0.5310 data_time: 0.0441 memory: 18104 grad_norm: 5.2038 loss: 3.1484 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9094 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2390 2023/02/02 20:09:43 - mmengine - INFO - Epoch(train) [199][1760/1879] lr: 1.5436e-02 eta: 15:23:04 time: 0.5065 data_time: 0.0336 memory: 18104 grad_norm: 5.2971 loss: 3.2265 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9506 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.2760 2023/02/02 20:09:53 - mmengine - INFO - Epoch(train) [199][1780/1879] lr: 1.5430e-02 eta: 15:22:53 time: 0.5128 data_time: 0.0339 memory: 18104 grad_norm: 5.2086 loss: 3.0813 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7807 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.3006 2023/02/02 20:10:03 - mmengine - INFO - Epoch(train) [199][1800/1879] lr: 1.5425e-02 eta: 15:22:42 time: 0.5020 data_time: 0.0347 memory: 18104 grad_norm: 5.2702 loss: 2.9585 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.6673 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.2911 2023/02/02 20:10:14 - mmengine - INFO - Epoch(train) [199][1820/1879] lr: 1.5419e-02 eta: 15:22:32 time: 0.5287 data_time: 0.0480 memory: 18104 grad_norm: 5.2820 loss: 2.8983 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.6791 top1_acc_1: 0.6353 top5_acc_1: 0.8235 loss_cls_1: 1.2192 2023/02/02 20:10:24 - mmengine - INFO - Epoch(train) [199][1840/1879] lr: 1.5414e-02 eta: 15:22:22 time: 0.5090 data_time: 0.0344 memory: 18104 grad_norm: 5.1738 loss: 2.9695 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6642 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.3053 2023/02/02 20:10:35 - mmengine - INFO - Epoch(train) [199][1860/1879] lr: 1.5408e-02 eta: 15:22:12 time: 0.5228 data_time: 0.0340 memory: 18104 grad_norm: 5.2031 loss: 3.0308 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7625 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.2683 2023/02/02 20:10:44 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 20:10:44 - mmengine - INFO - Epoch(train) [199][1879/1879] lr: 1.5403e-02 eta: 15:22:00 time: 0.4794 data_time: 0.0361 memory: 18104 grad_norm: 5.2490 loss: 2.7217 top1_acc_0: 0.8571 top5_acc_0: 0.8571 loss_cls_0: 1.4517 top1_acc_1: 0.7529 top5_acc_1: 0.8588 loss_cls_1: 1.2700 2023/02/02 20:10:59 - mmengine - INFO - Epoch(train) [200][ 20/1879] lr: 1.5398e-02 eta: 15:21:58 time: 0.7174 data_time: 0.2430 memory: 18104 grad_norm: 5.0317 loss: 2.6194 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4393 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.1801 2023/02/02 20:11:08 - mmengine - INFO - Epoch(train) [200][ 40/1879] lr: 1.5392e-02 eta: 15:21:46 time: 0.4703 data_time: 0.0350 memory: 18104 grad_norm: 5.1080 loss: 3.0340 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7959 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.2381 2023/02/02 20:11:18 - mmengine - INFO - Epoch(train) [200][ 60/1879] lr: 1.5387e-02 eta: 15:21:35 time: 0.4862 data_time: 0.0365 memory: 18104 grad_norm: 5.1867 loss: 2.8540 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6141 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.2399 2023/02/02 20:11:28 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 20:11:29 - mmengine - INFO - Epoch(train) [200][ 80/1879] lr: 1.5382e-02 eta: 15:21:25 time: 0.5251 data_time: 0.0398 memory: 18104 grad_norm: 5.1020 loss: 3.0311 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7415 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.2896 2023/02/02 20:11:39 - mmengine - INFO - Epoch(train) [200][ 100/1879] lr: 1.5376e-02 eta: 15:21:13 time: 0.4934 data_time: 0.0348 memory: 18104 grad_norm: 5.1399 loss: 3.1789 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.9863 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.1927 2023/02/02 20:11:48 - mmengine - INFO - Epoch(train) [200][ 120/1879] lr: 1.5371e-02 eta: 15:21:02 time: 0.4820 data_time: 0.0345 memory: 18104 grad_norm: 5.1217 loss: 3.0059 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6883 top1_acc_1: 0.7647 top5_acc_1: 0.8706 loss_cls_1: 1.3176 2023/02/02 20:11:58 - mmengine - INFO - Epoch(train) [200][ 140/1879] lr: 1.5365e-02 eta: 15:20:51 time: 0.5106 data_time: 0.0362 memory: 18104 grad_norm: 5.1653 loss: 2.9711 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7458 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.2253 2023/02/02 20:12:08 - mmengine - INFO - Epoch(train) [200][ 160/1879] lr: 1.5360e-02 eta: 15:20:40 time: 0.4989 data_time: 0.0330 memory: 18104 grad_norm: 5.1775 loss: 3.0650 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.8154 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.2496 2023/02/02 20:12:18 - mmengine - INFO - Epoch(train) [200][ 180/1879] lr: 1.5354e-02 eta: 15:20:29 time: 0.4946 data_time: 0.0356 memory: 18104 grad_norm: 5.0666 loss: 2.9682 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.7279 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.2403 2023/02/02 20:12:28 - mmengine - INFO - Epoch(train) [200][ 200/1879] lr: 1.5349e-02 eta: 15:20:17 time: 0.4920 data_time: 0.0329 memory: 18104 grad_norm: 5.2155 loss: 2.8350 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 1.5740 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.2610 2023/02/02 20:12:39 - mmengine - INFO - Epoch(train) [200][ 220/1879] lr: 1.5344e-02 eta: 15:20:07 time: 0.5262 data_time: 0.0429 memory: 18104 grad_norm: 5.1905 loss: 2.9419 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.6924 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.2494 2023/02/02 20:12:49 - mmengine - INFO - Epoch(train) [200][ 240/1879] lr: 1.5338e-02 eta: 15:19:57 time: 0.5124 data_time: 0.0322 memory: 18104 grad_norm: 5.0834 loss: 2.8677 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6061 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.2616 2023/02/02 20:12:59 - mmengine - INFO - Epoch(train) [200][ 260/1879] lr: 1.5333e-02 eta: 15:19:47 time: 0.5173 data_time: 0.0351 memory: 18104 grad_norm: 5.2303 loss: 3.1607 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8972 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.2635 2023/02/02 20:13:10 - mmengine - INFO - Epoch(train) [200][ 280/1879] lr: 1.5327e-02 eta: 15:19:36 time: 0.5136 data_time: 0.0334 memory: 18104 grad_norm: 5.1535 loss: 2.9570 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7461 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.2109 2023/02/02 20:13:20 - mmengine - INFO - Epoch(train) [200][ 300/1879] lr: 1.5322e-02 eta: 15:19:26 time: 0.5203 data_time: 0.0428 memory: 18104 grad_norm: 5.1250 loss: 3.0561 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7816 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.2746 2023/02/02 20:13:30 - mmengine - INFO - Epoch(train) [200][ 320/1879] lr: 1.5316e-02 eta: 15:19:15 time: 0.5075 data_time: 0.0324 memory: 18104 grad_norm: 5.2169 loss: 3.0085 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.7974 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.2111 2023/02/02 20:13:41 - mmengine - INFO - Epoch(train) [200][ 340/1879] lr: 1.5311e-02 eta: 15:19:05 time: 0.5144 data_time: 0.0317 memory: 18104 grad_norm: 5.1305 loss: 2.8837 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6608 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.2229 2023/02/02 20:13:51 - mmengine - INFO - Epoch(train) [200][ 360/1879] lr: 1.5306e-02 eta: 15:18:54 time: 0.5033 data_time: 0.0341 memory: 18104 grad_norm: 5.1450 loss: 3.1339 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.8534 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.2805 2023/02/02 20:14:01 - mmengine - INFO - Epoch(train) [200][ 380/1879] lr: 1.5300e-02 eta: 15:18:44 time: 0.5241 data_time: 0.0395 memory: 18104 grad_norm: 5.1215 loss: 2.9620 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6957 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.2663 2023/02/02 20:14:11 - mmengine - INFO - Epoch(train) [200][ 400/1879] lr: 1.5295e-02 eta: 15:18:33 time: 0.5096 data_time: 0.0316 memory: 18104 grad_norm: 5.2021 loss: 2.9985 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 1.6826 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.3159 2023/02/02 20:14:22 - mmengine - INFO - Epoch(train) [200][ 420/1879] lr: 1.5289e-02 eta: 15:18:23 time: 0.5121 data_time: 0.0345 memory: 18104 grad_norm: 5.1178 loss: 2.9021 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.6662 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.2360 2023/02/02 20:14:32 - mmengine - INFO - Epoch(train) [200][ 440/1879] lr: 1.5284e-02 eta: 15:18:12 time: 0.5012 data_time: 0.0331 memory: 18104 grad_norm: 5.1821 loss: 2.8122 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6452 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.1670 2023/02/02 20:14:42 - mmengine - INFO - Epoch(train) [200][ 460/1879] lr: 1.5278e-02 eta: 15:18:02 time: 0.5238 data_time: 0.0355 memory: 18104 grad_norm: 5.1615 loss: 2.8525 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.5002 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.3524 2023/02/02 20:14:52 - mmengine - INFO - Epoch(train) [200][ 480/1879] lr: 1.5273e-02 eta: 15:17:51 time: 0.5019 data_time: 0.0316 memory: 18104 grad_norm: 5.1971 loss: 3.0973 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8680 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.2293 2023/02/02 20:15:02 - mmengine - INFO - Epoch(train) [200][ 500/1879] lr: 1.5268e-02 eta: 15:17:40 time: 0.4969 data_time: 0.0342 memory: 18104 grad_norm: 5.0847 loss: 2.9239 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6395 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.2845 2023/02/02 20:15:12 - mmengine - INFO - Epoch(train) [200][ 520/1879] lr: 1.5262e-02 eta: 15:17:29 time: 0.5091 data_time: 0.0397 memory: 18104 grad_norm: 5.2294 loss: 3.0278 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7166 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.3112 2023/02/02 20:15:23 - mmengine - INFO - Epoch(train) [200][ 540/1879] lr: 1.5257e-02 eta: 15:17:19 time: 0.5140 data_time: 0.0341 memory: 18104 grad_norm: 5.2414 loss: 2.8024 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6170 top1_acc_1: 0.8353 top5_acc_1: 0.9647 loss_cls_1: 1.1854 2023/02/02 20:15:33 - mmengine - INFO - Epoch(train) [200][ 560/1879] lr: 1.5251e-02 eta: 15:17:08 time: 0.4990 data_time: 0.0325 memory: 18104 grad_norm: 5.1735 loss: 2.8701 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6472 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.2229 2023/02/02 20:15:43 - mmengine - INFO - Epoch(train) [200][ 580/1879] lr: 1.5246e-02 eta: 15:16:57 time: 0.5128 data_time: 0.0358 memory: 18104 grad_norm: 5.1423 loss: 3.0393 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.7111 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.3282 2023/02/02 20:15:53 - mmengine - INFO - Epoch(train) [200][ 600/1879] lr: 1.5241e-02 eta: 15:16:47 time: 0.5138 data_time: 0.0394 memory: 18104 grad_norm: 5.1828 loss: 3.0750 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.7964 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.2787 2023/02/02 20:16:03 - mmengine - INFO - Epoch(train) [200][ 620/1879] lr: 1.5235e-02 eta: 15:16:36 time: 0.5073 data_time: 0.0351 memory: 18104 grad_norm: 5.2190 loss: 2.9621 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.7131 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.2490 2023/02/02 20:16:13 - mmengine - INFO - Epoch(train) [200][ 640/1879] lr: 1.5230e-02 eta: 15:16:25 time: 0.4998 data_time: 0.0328 memory: 18104 grad_norm: 5.1833 loss: 3.1557 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.8981 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.2576 2023/02/02 20:16:24 - mmengine - INFO - Epoch(train) [200][ 660/1879] lr: 1.5224e-02 eta: 15:16:14 time: 0.5105 data_time: 0.0376 memory: 18104 grad_norm: 5.1742 loss: 3.0791 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7540 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.3251 2023/02/02 20:16:34 - mmengine - INFO - Epoch(train) [200][ 680/1879] lr: 1.5219e-02 eta: 15:16:04 time: 0.5235 data_time: 0.0398 memory: 18104 grad_norm: 5.1207 loss: 2.9104 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5871 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.3232 2023/02/02 20:16:44 - mmengine - INFO - Epoch(train) [200][ 700/1879] lr: 1.5214e-02 eta: 15:15:53 time: 0.5016 data_time: 0.0349 memory: 18104 grad_norm: 5.1373 loss: 3.1302 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8641 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.2661 2023/02/02 20:16:54 - mmengine - INFO - Epoch(train) [200][ 720/1879] lr: 1.5208e-02 eta: 15:15:43 time: 0.5050 data_time: 0.0348 memory: 18104 grad_norm: 5.1748 loss: 3.1166 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8164 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.3002 2023/02/02 20:17:05 - mmengine - INFO - Epoch(train) [200][ 740/1879] lr: 1.5203e-02 eta: 15:15:32 time: 0.5172 data_time: 0.0376 memory: 18104 grad_norm: 5.1388 loss: 2.9124 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.7115 top1_acc_1: 0.6588 top5_acc_1: 0.9176 loss_cls_1: 1.2009 2023/02/02 20:17:15 - mmengine - INFO - Epoch(train) [200][ 760/1879] lr: 1.5197e-02 eta: 15:15:22 time: 0.5206 data_time: 0.0304 memory: 18104 grad_norm: 5.2011 loss: 3.0026 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.7480 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.2546 2023/02/02 20:17:25 - mmengine - INFO - Epoch(train) [200][ 780/1879] lr: 1.5192e-02 eta: 15:15:11 time: 0.5083 data_time: 0.0343 memory: 18104 grad_norm: 5.2656 loss: 3.1518 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.8014 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.3504 2023/02/02 20:17:36 - mmengine - INFO - Epoch(train) [200][ 800/1879] lr: 1.5186e-02 eta: 15:15:01 time: 0.5099 data_time: 0.0319 memory: 18104 grad_norm: 5.2658 loss: 3.0622 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.7622 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2999 2023/02/02 20:17:46 - mmengine - INFO - Epoch(train) [200][ 820/1879] lr: 1.5181e-02 eta: 15:14:51 time: 0.5229 data_time: 0.0456 memory: 18104 grad_norm: 5.1704 loss: 2.9160 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.6828 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.2333 2023/02/02 20:17:56 - mmengine - INFO - Epoch(train) [200][ 840/1879] lr: 1.5176e-02 eta: 15:14:40 time: 0.4986 data_time: 0.0311 memory: 18104 grad_norm: 5.1164 loss: 3.0062 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.6892 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 1.3170 2023/02/02 20:18:06 - mmengine - INFO - Epoch(train) [200][ 860/1879] lr: 1.5170e-02 eta: 15:14:29 time: 0.4982 data_time: 0.0360 memory: 18104 grad_norm: 5.2496 loss: 3.1596 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.8210 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.3386 2023/02/02 20:18:16 - mmengine - INFO - Epoch(train) [200][ 880/1879] lr: 1.5165e-02 eta: 15:14:18 time: 0.5092 data_time: 0.0322 memory: 18104 grad_norm: 5.2575 loss: 3.0264 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.7130 top1_acc_1: 0.7176 top5_acc_1: 0.8235 loss_cls_1: 1.3134 2023/02/02 20:18:27 - mmengine - INFO - Epoch(train) [200][ 900/1879] lr: 1.5159e-02 eta: 15:14:08 time: 0.5222 data_time: 0.0372 memory: 18104 grad_norm: 5.2101 loss: 3.1163 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.8377 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.2786 2023/02/02 20:18:37 - mmengine - INFO - Epoch(train) [200][ 920/1879] lr: 1.5154e-02 eta: 15:13:57 time: 0.4987 data_time: 0.0322 memory: 18104 grad_norm: 5.2679 loss: 3.1810 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.8749 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.3062 2023/02/02 20:18:47 - mmengine - INFO - Epoch(train) [200][ 940/1879] lr: 1.5149e-02 eta: 15:13:46 time: 0.5083 data_time: 0.0358 memory: 18104 grad_norm: 5.1300 loss: 2.9134 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 1.6719 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.2415 2023/02/02 20:18:57 - mmengine - INFO - Epoch(train) [200][ 960/1879] lr: 1.5143e-02 eta: 15:13:36 time: 0.5109 data_time: 0.0378 memory: 18104 grad_norm: 5.1970 loss: 3.0457 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7329 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.3128 2023/02/02 20:19:08 - mmengine - INFO - Epoch(train) [200][ 980/1879] lr: 1.5138e-02 eta: 15:13:25 time: 0.5222 data_time: 0.0349 memory: 18104 grad_norm: 5.2844 loss: 3.1205 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8214 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 1.2991 2023/02/02 20:19:18 - mmengine - INFO - Epoch(train) [200][1000/1879] lr: 1.5132e-02 eta: 15:13:15 time: 0.5032 data_time: 0.0320 memory: 18104 grad_norm: 5.2580 loss: 2.9963 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7332 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 1.2631 2023/02/02 20:19:28 - mmengine - INFO - Epoch(train) [200][1020/1879] lr: 1.5127e-02 eta: 15:13:04 time: 0.5180 data_time: 0.0423 memory: 18104 grad_norm: 5.2908 loss: 3.0681 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.8410 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.2271 2023/02/02 20:19:38 - mmengine - INFO - Epoch(train) [200][1040/1879] lr: 1.5122e-02 eta: 15:12:53 time: 0.5029 data_time: 0.0311 memory: 18104 grad_norm: 5.2602 loss: 3.1066 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8586 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.2480 2023/02/02 20:19:48 - mmengine - INFO - Epoch(train) [200][1060/1879] lr: 1.5116e-02 eta: 15:12:43 time: 0.5043 data_time: 0.0351 memory: 18104 grad_norm: 5.2126 loss: 2.8898 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.5512 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.3386 2023/02/02 20:19:58 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 20:19:58 - mmengine - INFO - Epoch(train) [200][1080/1879] lr: 1.5111e-02 eta: 15:12:32 time: 0.4991 data_time: 0.0318 memory: 18104 grad_norm: 5.3982 loss: 3.2958 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.9729 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.3229 2023/02/02 20:20:09 - mmengine - INFO - Epoch(train) [200][1100/1879] lr: 1.5105e-02 eta: 15:12:22 time: 0.5226 data_time: 0.0362 memory: 18104 grad_norm: 5.2473 loss: 3.0126 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7735 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.2391 2023/02/02 20:20:19 - mmengine - INFO - Epoch(train) [200][1120/1879] lr: 1.5100e-02 eta: 15:12:10 time: 0.4919 data_time: 0.0327 memory: 18104 grad_norm: 5.1505 loss: 3.1210 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8589 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.2621 2023/02/02 20:20:29 - mmengine - INFO - Epoch(train) [200][1140/1879] lr: 1.5095e-02 eta: 15:11:59 time: 0.5050 data_time: 0.0354 memory: 18104 grad_norm: 5.2152 loss: 3.0631 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8247 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.2384 2023/02/02 20:20:39 - mmengine - INFO - Epoch(train) [200][1160/1879] lr: 1.5089e-02 eta: 15:11:49 time: 0.5156 data_time: 0.0396 memory: 18104 grad_norm: 5.2384 loss: 2.9190 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7606 top1_acc_1: 0.6588 top5_acc_1: 0.9176 loss_cls_1: 1.1585 2023/02/02 20:20:49 - mmengine - INFO - Epoch(train) [200][1180/1879] lr: 1.5084e-02 eta: 15:11:38 time: 0.5023 data_time: 0.0351 memory: 18104 grad_norm: 5.3929 loss: 2.9950 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7202 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.2748 2023/02/02 20:20:59 - mmengine - INFO - Epoch(train) [200][1200/1879] lr: 1.5079e-02 eta: 15:11:27 time: 0.4969 data_time: 0.0314 memory: 18104 grad_norm: 5.1644 loss: 3.0668 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8231 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2437 2023/02/02 20:21:09 - mmengine - INFO - Epoch(train) [200][1220/1879] lr: 1.5073e-02 eta: 15:11:17 time: 0.5179 data_time: 0.0364 memory: 18104 grad_norm: 5.1956 loss: 2.8105 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.6349 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.1756 2023/02/02 20:21:20 - mmengine - INFO - Epoch(train) [200][1240/1879] lr: 1.5068e-02 eta: 15:11:06 time: 0.5152 data_time: 0.0385 memory: 18104 grad_norm: 5.3114 loss: 2.9302 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7091 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.2211 2023/02/02 20:21:30 - mmengine - INFO - Epoch(train) [200][1260/1879] lr: 1.5062e-02 eta: 15:10:56 time: 0.5127 data_time: 0.0344 memory: 18104 grad_norm: 5.0138 loss: 3.0512 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7127 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.3385 2023/02/02 20:21:40 - mmengine - INFO - Epoch(train) [200][1280/1879] lr: 1.5057e-02 eta: 15:10:46 time: 0.5179 data_time: 0.0312 memory: 18104 grad_norm: 5.1706 loss: 3.1254 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.8078 top1_acc_1: 0.6941 top5_acc_1: 0.9529 loss_cls_1: 1.3176 2023/02/02 20:21:51 - mmengine - INFO - Epoch(train) [200][1300/1879] lr: 1.5052e-02 eta: 15:10:36 time: 0.5346 data_time: 0.0337 memory: 18104 grad_norm: 5.2860 loss: 3.1191 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.8242 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.2949 2023/02/02 20:22:01 - mmengine - INFO - Epoch(train) [200][1320/1879] lr: 1.5046e-02 eta: 15:10:25 time: 0.5048 data_time: 0.0312 memory: 18104 grad_norm: 5.2183 loss: 3.1626 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9004 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.2622 2023/02/02 20:22:12 - mmengine - INFO - Epoch(train) [200][1340/1879] lr: 1.5041e-02 eta: 15:10:15 time: 0.5147 data_time: 0.0366 memory: 18104 grad_norm: 5.2264 loss: 3.1556 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.9158 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.2398 2023/02/02 20:22:22 - mmengine - INFO - Epoch(train) [200][1360/1879] lr: 1.5035e-02 eta: 15:10:05 time: 0.5245 data_time: 0.0307 memory: 18104 grad_norm: 5.1432 loss: 3.1164 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.8490 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.2674 2023/02/02 20:22:32 - mmengine - INFO - Epoch(train) [200][1380/1879] lr: 1.5030e-02 eta: 15:09:54 time: 0.5108 data_time: 0.0407 memory: 18104 grad_norm: 5.2695 loss: 3.0427 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7896 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.2531 2023/02/02 20:22:43 - mmengine - INFO - Epoch(train) [200][1400/1879] lr: 1.5025e-02 eta: 15:09:44 time: 0.5110 data_time: 0.0305 memory: 18104 grad_norm: 5.2582 loss: 3.1172 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.8373 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 1.2799 2023/02/02 20:22:53 - mmengine - INFO - Epoch(train) [200][1420/1879] lr: 1.5019e-02 eta: 15:09:34 time: 0.5196 data_time: 0.0363 memory: 18104 grad_norm: 5.1991 loss: 2.8724 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.6409 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 1.2315 2023/02/02 20:23:03 - mmengine - INFO - Epoch(train) [200][1440/1879] lr: 1.5014e-02 eta: 15:09:23 time: 0.5195 data_time: 0.0385 memory: 18104 grad_norm: 5.2823 loss: 2.9463 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7928 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.1535 2023/02/02 20:23:14 - mmengine - INFO - Epoch(train) [200][1460/1879] lr: 1.5009e-02 eta: 15:09:13 time: 0.5075 data_time: 0.0336 memory: 18104 grad_norm: 5.1450 loss: 3.0845 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8759 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.2086 2023/02/02 20:23:24 - mmengine - INFO - Epoch(train) [200][1480/1879] lr: 1.5003e-02 eta: 15:09:02 time: 0.5078 data_time: 0.0314 memory: 18104 grad_norm: 5.1755 loss: 3.1616 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9243 top1_acc_1: 0.7647 top5_acc_1: 0.8706 loss_cls_1: 1.2372 2023/02/02 20:23:34 - mmengine - INFO - Epoch(train) [200][1500/1879] lr: 1.4998e-02 eta: 15:08:52 time: 0.5315 data_time: 0.0356 memory: 18104 grad_norm: 5.2575 loss: 2.9715 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7131 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.2584 2023/02/02 20:23:44 - mmengine - INFO - Epoch(train) [200][1520/1879] lr: 1.4992e-02 eta: 15:08:41 time: 0.5021 data_time: 0.0312 memory: 18104 grad_norm: 5.2825 loss: 3.1102 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.8834 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.2268 2023/02/02 20:23:55 - mmengine - INFO - Epoch(train) [200][1540/1879] lr: 1.4987e-02 eta: 15:08:31 time: 0.5218 data_time: 0.0377 memory: 18104 grad_norm: 5.2002 loss: 3.1163 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8042 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.3121 2023/02/02 20:24:05 - mmengine - INFO - Epoch(train) [200][1560/1879] lr: 1.4982e-02 eta: 15:08:21 time: 0.5225 data_time: 0.0317 memory: 18104 grad_norm: 5.1114 loss: 3.0341 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7824 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.2518 2023/02/02 20:24:16 - mmengine - INFO - Epoch(train) [200][1580/1879] lr: 1.4976e-02 eta: 15:08:11 time: 0.5269 data_time: 0.0421 memory: 18104 grad_norm: 5.1795 loss: 2.9235 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 1.7389 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.1846 2023/02/02 20:24:26 - mmengine - INFO - Epoch(train) [200][1600/1879] lr: 1.4971e-02 eta: 15:08:01 time: 0.5059 data_time: 0.0327 memory: 18104 grad_norm: 5.3405 loss: 3.1767 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9180 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.2587 2023/02/02 20:24:36 - mmengine - INFO - Epoch(train) [200][1620/1879] lr: 1.4965e-02 eta: 15:07:50 time: 0.5145 data_time: 0.0345 memory: 18104 grad_norm: 5.3076 loss: 3.1273 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8617 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2656 2023/02/02 20:24:47 - mmengine - INFO - Epoch(train) [200][1640/1879] lr: 1.4960e-02 eta: 15:07:40 time: 0.5137 data_time: 0.0302 memory: 18104 grad_norm: 5.3255 loss: 3.0087 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6953 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.3135 2023/02/02 20:24:57 - mmengine - INFO - Epoch(train) [200][1660/1879] lr: 1.4955e-02 eta: 15:07:29 time: 0.5188 data_time: 0.0456 memory: 18104 grad_norm: 5.2325 loss: 3.0115 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7031 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.3084 2023/02/02 20:25:07 - mmengine - INFO - Epoch(train) [200][1680/1879] lr: 1.4949e-02 eta: 15:07:19 time: 0.5140 data_time: 0.0311 memory: 18104 grad_norm: 5.1592 loss: 2.7985 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.5960 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.2026 2023/02/02 20:25:18 - mmengine - INFO - Epoch(train) [200][1700/1879] lr: 1.4944e-02 eta: 15:07:09 time: 0.5185 data_time: 0.0361 memory: 18104 grad_norm: 5.2557 loss: 3.1924 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.8506 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.3418 2023/02/02 20:25:29 - mmengine - INFO - Epoch(train) [200][1720/1879] lr: 1.4939e-02 eta: 15:06:59 time: 0.5359 data_time: 0.0460 memory: 18104 grad_norm: 5.2628 loss: 3.0718 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7647 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.3071 2023/02/02 20:25:39 - mmengine - INFO - Epoch(train) [200][1740/1879] lr: 1.4933e-02 eta: 15:06:49 time: 0.5119 data_time: 0.0349 memory: 18104 grad_norm: 5.2158 loss: 3.2161 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.9373 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.2788 2023/02/02 20:25:49 - mmengine - INFO - Epoch(train) [200][1760/1879] lr: 1.4928e-02 eta: 15:06:39 time: 0.5234 data_time: 0.0312 memory: 18104 grad_norm: 5.1486 loss: 2.9045 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7076 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.1969 2023/02/02 20:26:00 - mmengine - INFO - Epoch(train) [200][1780/1879] lr: 1.4923e-02 eta: 15:06:29 time: 0.5251 data_time: 0.0355 memory: 18104 grad_norm: 5.1991 loss: 3.0783 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7510 top1_acc_1: 0.6235 top5_acc_1: 0.8941 loss_cls_1: 1.3273 2023/02/02 20:26:10 - mmengine - INFO - Epoch(train) [200][1800/1879] lr: 1.4917e-02 eta: 15:06:19 time: 0.5211 data_time: 0.0308 memory: 18104 grad_norm: 5.2622 loss: 2.9030 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6122 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.2907 2023/02/02 20:26:21 - mmengine - INFO - Epoch(train) [200][1820/1879] lr: 1.4912e-02 eta: 15:06:08 time: 0.5222 data_time: 0.0351 memory: 18104 grad_norm: 5.2505 loss: 3.0182 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7416 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.2766 2023/02/02 20:26:31 - mmengine - INFO - Epoch(train) [200][1840/1879] lr: 1.4906e-02 eta: 15:05:58 time: 0.5240 data_time: 0.0309 memory: 18104 grad_norm: 5.2271 loss: 2.9102 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.6604 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.2498 2023/02/02 20:26:42 - mmengine - INFO - Epoch(train) [200][1860/1879] lr: 1.4901e-02 eta: 15:05:48 time: 0.5133 data_time: 0.0426 memory: 18104 grad_norm: 5.1482 loss: 2.9140 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.6908 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.2232 2023/02/02 20:26:51 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 20:26:51 - mmengine - INFO - Epoch(train) [200][1879/1879] lr: 1.4896e-02 eta: 15:05:37 time: 0.4870 data_time: 0.0281 memory: 18104 grad_norm: 5.4691 loss: 3.3560 top1_acc_0: 0.2857 top5_acc_0: 0.4286 loss_cls_0: 2.1338 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.2223 2023/02/02 20:26:51 - mmengine - INFO - Saving checkpoint at 200 epochs 2023/02/02 20:27:02 - mmengine - INFO - Epoch(val) [200][ 20/155] eta: 0:01:01 time: 0.4547 data_time: 0.3414 memory: 1900 2023/02/02 20:27:11 - mmengine - INFO - Epoch(val) [200][ 40/155] eta: 0:00:51 time: 0.4484 data_time: 0.3370 memory: 1900 2023/02/02 20:27:20 - mmengine - INFO - Epoch(val) [200][ 60/155] eta: 0:00:42 time: 0.4253 data_time: 0.3140 memory: 1900 2023/02/02 20:27:29 - mmengine - INFO - Epoch(val) [200][ 80/155] eta: 0:00:33 time: 0.4551 data_time: 0.3439 memory: 1900 2023/02/02 20:27:38 - mmengine - INFO - Epoch(val) [200][100/155] eta: 0:00:24 time: 0.4561 data_time: 0.3433 memory: 1900 2023/02/02 20:27:47 - mmengine - INFO - Epoch(val) [200][120/155] eta: 0:00:15 time: 0.4675 data_time: 0.3567 memory: 1900 2023/02/02 20:27:56 - mmengine - INFO - Epoch(val) [200][140/155] eta: 0:00:06 time: 0.4407 data_time: 0.3301 memory: 1900 2023/02/02 20:28:04 - mmengine - INFO - Epoch(val) [200][155/155] acc/top1: 0.6162 acc/top5: 0.8332 acc/mean1: 0.6163 2023/02/02 20:28:19 - mmengine - INFO - Epoch(train) [201][ 20/1879] lr: 1.4891e-02 eta: 15:05:36 time: 0.7413 data_time: 0.2656 memory: 18104 grad_norm: 5.2402 loss: 2.8481 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5526 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.2954 2023/02/02 20:28:28 - mmengine - INFO - Epoch(train) [201][ 40/1879] lr: 1.4885e-02 eta: 15:05:24 time: 0.4822 data_time: 0.0312 memory: 18104 grad_norm: 5.1364 loss: 2.9329 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.6210 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.3120 2023/02/02 20:28:39 - mmengine - INFO - Epoch(train) [201][ 60/1879] lr: 1.4880e-02 eta: 15:05:13 time: 0.5058 data_time: 0.0359 memory: 18104 grad_norm: 5.2435 loss: 2.9233 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.6917 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.2316 2023/02/02 20:28:49 - mmengine - INFO - Epoch(train) [201][ 80/1879] lr: 1.4875e-02 eta: 15:05:03 time: 0.5115 data_time: 0.0324 memory: 18104 grad_norm: 5.1919 loss: 2.9734 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7250 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.2484 2023/02/02 20:28:59 - mmengine - INFO - Epoch(train) [201][ 100/1879] lr: 1.4869e-02 eta: 15:04:52 time: 0.4961 data_time: 0.0366 memory: 18104 grad_norm: 5.2411 loss: 3.0054 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7662 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.2392 2023/02/02 20:29:08 - mmengine - INFO - Epoch(train) [201][ 120/1879] lr: 1.4864e-02 eta: 15:04:40 time: 0.4820 data_time: 0.0348 memory: 18104 grad_norm: 5.2404 loss: 3.0033 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7730 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 1.2303 2023/02/02 20:29:19 - mmengine - INFO - Epoch(train) [201][ 140/1879] lr: 1.4858e-02 eta: 15:04:30 time: 0.5174 data_time: 0.0346 memory: 18104 grad_norm: 5.1456 loss: 2.9492 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7160 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.2331 2023/02/02 20:29:29 - mmengine - INFO - Epoch(train) [201][ 160/1879] lr: 1.4853e-02 eta: 15:04:19 time: 0.5011 data_time: 0.0328 memory: 18104 grad_norm: 5.1104 loss: 2.8443 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.6188 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.2255 2023/02/02 20:29:39 - mmengine - INFO - Epoch(train) [201][ 180/1879] lr: 1.4848e-02 eta: 15:04:08 time: 0.4958 data_time: 0.0374 memory: 18104 grad_norm: 5.1770 loss: 2.9924 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7484 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.2440 2023/02/02 20:29:49 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 20:29:49 - mmengine - INFO - Epoch(train) [201][ 200/1879] lr: 1.4842e-02 eta: 15:03:56 time: 0.4926 data_time: 0.0336 memory: 18104 grad_norm: 5.0812 loss: 2.8862 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5833 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.3029 2023/02/02 20:29:59 - mmengine - INFO - Epoch(train) [201][ 220/1879] lr: 1.4837e-02 eta: 15:03:46 time: 0.5135 data_time: 0.0337 memory: 18104 grad_norm: 5.1965 loss: 3.0171 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.7619 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.2551 2023/02/02 20:30:09 - mmengine - INFO - Epoch(train) [201][ 240/1879] lr: 1.4832e-02 eta: 15:03:35 time: 0.4958 data_time: 0.0341 memory: 18104 grad_norm: 5.0636 loss: 2.9618 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.6718 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.2901 2023/02/02 20:30:19 - mmengine - INFO - Epoch(train) [201][ 260/1879] lr: 1.4826e-02 eta: 15:03:23 time: 0.4943 data_time: 0.0353 memory: 18104 grad_norm: 5.2554 loss: 3.1058 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.8501 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.2557 2023/02/02 20:30:29 - mmengine - INFO - Epoch(train) [201][ 280/1879] lr: 1.4821e-02 eta: 15:03:12 time: 0.4895 data_time: 0.0331 memory: 18104 grad_norm: 5.2783 loss: 3.1151 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8637 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2514 2023/02/02 20:30:39 - mmengine - INFO - Epoch(train) [201][ 300/1879] lr: 1.4816e-02 eta: 15:03:02 time: 0.5161 data_time: 0.0351 memory: 18104 grad_norm: 5.2010 loss: 2.8693 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.6743 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.1951 2023/02/02 20:30:49 - mmengine - INFO - Epoch(train) [201][ 320/1879] lr: 1.4810e-02 eta: 15:02:51 time: 0.4995 data_time: 0.0410 memory: 18104 grad_norm: 5.2308 loss: 2.9031 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.6802 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.2229 2023/02/02 20:30:59 - mmengine - INFO - Epoch(train) [201][ 340/1879] lr: 1.4805e-02 eta: 15:02:40 time: 0.4999 data_time: 0.0344 memory: 18104 grad_norm: 5.1485 loss: 2.9426 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7743 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.1683 2023/02/02 20:31:09 - mmengine - INFO - Epoch(train) [201][ 360/1879] lr: 1.4800e-02 eta: 15:02:30 time: 0.5217 data_time: 0.0332 memory: 18104 grad_norm: 5.3192 loss: 3.1012 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8439 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.2573 2023/02/02 20:31:20 - mmengine - INFO - Epoch(train) [201][ 380/1879] lr: 1.4794e-02 eta: 15:02:19 time: 0.5062 data_time: 0.0338 memory: 18104 grad_norm: 5.3288 loss: 2.8878 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6076 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.2802 2023/02/02 20:31:30 - mmengine - INFO - Epoch(train) [201][ 400/1879] lr: 1.4789e-02 eta: 15:02:08 time: 0.4991 data_time: 0.0337 memory: 18104 grad_norm: 5.1238 loss: 3.0187 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.7806 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.2381 2023/02/02 20:31:40 - mmengine - INFO - Epoch(train) [201][ 420/1879] lr: 1.4784e-02 eta: 15:01:57 time: 0.5066 data_time: 0.0355 memory: 18104 grad_norm: 5.1111 loss: 3.1011 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8614 top1_acc_1: 0.5765 top5_acc_1: 0.8235 loss_cls_1: 1.2397 2023/02/02 20:31:50 - mmengine - INFO - Epoch(train) [201][ 440/1879] lr: 1.4778e-02 eta: 15:01:47 time: 0.5202 data_time: 0.0323 memory: 18104 grad_norm: 5.3481 loss: 2.8470 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5858 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2612 2023/02/02 20:32:00 - mmengine - INFO - Epoch(train) [201][ 460/1879] lr: 1.4773e-02 eta: 15:01:36 time: 0.5098 data_time: 0.0414 memory: 18104 grad_norm: 5.3058 loss: 2.8870 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6285 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 1.2585 2023/02/02 20:32:10 - mmengine - INFO - Epoch(train) [201][ 480/1879] lr: 1.4767e-02 eta: 15:01:25 time: 0.4983 data_time: 0.0337 memory: 18104 grad_norm: 5.2880 loss: 3.0881 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7647 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.3234 2023/02/02 20:32:20 - mmengine - INFO - Epoch(train) [201][ 500/1879] lr: 1.4762e-02 eta: 15:01:15 time: 0.5038 data_time: 0.0354 memory: 18104 grad_norm: 5.2395 loss: 2.9813 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 1.7979 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.1834 2023/02/02 20:32:31 - mmengine - INFO - Epoch(train) [201][ 520/1879] lr: 1.4757e-02 eta: 15:01:04 time: 0.5124 data_time: 0.0331 memory: 18104 grad_norm: 5.4107 loss: 3.1195 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8475 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.2720 2023/02/02 20:32:41 - mmengine - INFO - Epoch(train) [201][ 540/1879] lr: 1.4751e-02 eta: 15:00:53 time: 0.4996 data_time: 0.0410 memory: 18104 grad_norm: 5.0973 loss: 2.9277 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.7208 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 1.2069 2023/02/02 20:32:51 - mmengine - INFO - Epoch(train) [201][ 560/1879] lr: 1.4746e-02 eta: 15:00:42 time: 0.4941 data_time: 0.0337 memory: 18104 grad_norm: 5.2201 loss: 3.0360 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.7746 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.2614 2023/02/02 20:33:01 - mmengine - INFO - Epoch(train) [201][ 580/1879] lr: 1.4741e-02 eta: 15:00:32 time: 0.5265 data_time: 0.0339 memory: 18104 grad_norm: 5.2453 loss: 3.0488 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7618 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.2870 2023/02/02 20:33:11 - mmengine - INFO - Epoch(train) [201][ 600/1879] lr: 1.4735e-02 eta: 15:00:21 time: 0.5005 data_time: 0.0343 memory: 18104 grad_norm: 5.1669 loss: 2.9582 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.6882 top1_acc_1: 0.6824 top5_acc_1: 0.9765 loss_cls_1: 1.2700 2023/02/02 20:33:21 - mmengine - INFO - Epoch(train) [201][ 620/1879] lr: 1.4730e-02 eta: 15:00:11 time: 0.5135 data_time: 0.0332 memory: 18104 grad_norm: 5.2084 loss: 2.8789 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6084 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.2705 2023/02/02 20:33:32 - mmengine - INFO - Epoch(train) [201][ 640/1879] lr: 1.4725e-02 eta: 15:00:00 time: 0.5098 data_time: 0.0338 memory: 18104 grad_norm: 5.1546 loss: 2.9953 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7318 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.2635 2023/02/02 20:33:42 - mmengine - INFO - Epoch(train) [201][ 660/1879] lr: 1.4719e-02 eta: 14:59:49 time: 0.5088 data_time: 0.0337 memory: 18104 grad_norm: 5.1860 loss: 2.9848 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7007 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.2841 2023/02/02 20:33:52 - mmengine - INFO - Epoch(train) [201][ 680/1879] lr: 1.4714e-02 eta: 14:59:38 time: 0.4934 data_time: 0.0326 memory: 18104 grad_norm: 5.0158 loss: 3.0456 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7952 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.2505 2023/02/02 20:34:02 - mmengine - INFO - Epoch(train) [201][ 700/1879] lr: 1.4709e-02 eta: 14:59:28 time: 0.5221 data_time: 0.0408 memory: 18104 grad_norm: 5.2546 loss: 2.7689 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5461 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.2228 2023/02/02 20:34:13 - mmengine - INFO - Epoch(train) [201][ 720/1879] lr: 1.4703e-02 eta: 14:59:18 time: 0.5129 data_time: 0.0332 memory: 18104 grad_norm: 5.2534 loss: 3.0278 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7721 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.2556 2023/02/02 20:34:23 - mmengine - INFO - Epoch(train) [201][ 740/1879] lr: 1.4698e-02 eta: 14:59:07 time: 0.5045 data_time: 0.0357 memory: 18104 grad_norm: 5.1365 loss: 3.1821 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8709 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.3112 2023/02/02 20:34:33 - mmengine - INFO - Epoch(train) [201][ 760/1879] lr: 1.4693e-02 eta: 14:58:56 time: 0.5104 data_time: 0.0325 memory: 18104 grad_norm: 5.2026 loss: 2.9338 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6237 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.3101 2023/02/02 20:34:43 - mmengine - INFO - Epoch(train) [201][ 780/1879] lr: 1.4687e-02 eta: 14:58:46 time: 0.5108 data_time: 0.0392 memory: 18104 grad_norm: 5.1708 loss: 2.9875 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7076 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.2800 2023/02/02 20:34:53 - mmengine - INFO - Epoch(train) [201][ 800/1879] lr: 1.4682e-02 eta: 14:58:35 time: 0.5020 data_time: 0.0334 memory: 18104 grad_norm: 5.1054 loss: 2.7781 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.4801 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.2980 2023/02/02 20:35:03 - mmengine - INFO - Epoch(train) [201][ 820/1879] lr: 1.4677e-02 eta: 14:58:24 time: 0.5010 data_time: 0.0335 memory: 18104 grad_norm: 5.2424 loss: 2.9230 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6976 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.2254 2023/02/02 20:35:13 - mmengine - INFO - Epoch(train) [201][ 840/1879] lr: 1.4671e-02 eta: 14:58:13 time: 0.5011 data_time: 0.0327 memory: 18104 grad_norm: 5.3524 loss: 3.0150 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.7671 top1_acc_1: 0.7765 top5_acc_1: 0.9647 loss_cls_1: 1.2479 2023/02/02 20:35:24 - mmengine - INFO - Epoch(train) [201][ 860/1879] lr: 1.4666e-02 eta: 14:58:03 time: 0.5205 data_time: 0.0341 memory: 18104 grad_norm: 5.3172 loss: 2.9310 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.6257 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.3053 2023/02/02 20:35:34 - mmengine - INFO - Epoch(train) [201][ 880/1879] lr: 1.4661e-02 eta: 14:57:52 time: 0.5011 data_time: 0.0337 memory: 18104 grad_norm: 5.4481 loss: 2.9961 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7182 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.2780 2023/02/02 20:35:44 - mmengine - INFO - Epoch(train) [201][ 900/1879] lr: 1.4655e-02 eta: 14:57:42 time: 0.5166 data_time: 0.0345 memory: 18104 grad_norm: 5.3254 loss: 3.0216 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7567 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.2648 2023/02/02 20:35:54 - mmengine - INFO - Epoch(train) [201][ 920/1879] lr: 1.4650e-02 eta: 14:57:31 time: 0.5148 data_time: 0.0320 memory: 18104 grad_norm: 5.4562 loss: 2.9665 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.7358 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.2307 2023/02/02 20:36:05 - mmengine - INFO - Epoch(train) [201][ 940/1879] lr: 1.4645e-02 eta: 14:57:21 time: 0.5248 data_time: 0.0414 memory: 18104 grad_norm: 5.3294 loss: 3.1609 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8137 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.3472 2023/02/02 20:36:15 - mmengine - INFO - Epoch(train) [201][ 960/1879] lr: 1.4639e-02 eta: 14:57:11 time: 0.5254 data_time: 0.0338 memory: 18104 grad_norm: 5.2469 loss: 3.0020 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7380 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.2641 2023/02/02 20:36:26 - mmengine - INFO - Epoch(train) [201][ 980/1879] lr: 1.4634e-02 eta: 14:57:01 time: 0.5098 data_time: 0.0350 memory: 18104 grad_norm: 5.2386 loss: 2.8676 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6835 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.1841 2023/02/02 20:36:36 - mmengine - INFO - Epoch(train) [201][1000/1879] lr: 1.4629e-02 eta: 14:56:51 time: 0.5228 data_time: 0.0310 memory: 18104 grad_norm: 5.2281 loss: 3.0124 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.7490 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.2634 2023/02/02 20:36:47 - mmengine - INFO - Epoch(train) [201][1020/1879] lr: 1.4623e-02 eta: 14:56:40 time: 0.5208 data_time: 0.0418 memory: 18104 grad_norm: 5.4669 loss: 2.8802 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.5679 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.3123 2023/02/02 20:36:57 - mmengine - INFO - Epoch(train) [201][1040/1879] lr: 1.4618e-02 eta: 14:56:30 time: 0.5242 data_time: 0.0356 memory: 18104 grad_norm: 5.3495 loss: 3.1915 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.8630 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.3285 2023/02/02 20:37:07 - mmengine - INFO - Epoch(train) [201][1060/1879] lr: 1.4613e-02 eta: 14:56:20 time: 0.5173 data_time: 0.0335 memory: 18104 grad_norm: 5.2804 loss: 2.8737 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.5833 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.2904 2023/02/02 20:37:18 - mmengine - INFO - Epoch(train) [201][1080/1879] lr: 1.4608e-02 eta: 14:56:10 time: 0.5231 data_time: 0.0323 memory: 18104 grad_norm: 5.1488 loss: 2.8945 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6814 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.2131 2023/02/02 20:37:29 - mmengine - INFO - Epoch(train) [201][1100/1879] lr: 1.4602e-02 eta: 14:56:00 time: 0.5290 data_time: 0.0326 memory: 18104 grad_norm: 5.2669 loss: 3.0615 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.8069 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.2547 2023/02/02 20:37:39 - mmengine - INFO - Epoch(train) [201][1120/1879] lr: 1.4597e-02 eta: 14:55:50 time: 0.5267 data_time: 0.0319 memory: 18104 grad_norm: 5.2403 loss: 3.0261 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7319 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.2942 2023/02/02 20:37:50 - mmengine - INFO - Epoch(train) [201][1140/1879] lr: 1.4592e-02 eta: 14:55:40 time: 0.5202 data_time: 0.0355 memory: 18104 grad_norm: 5.4689 loss: 3.0313 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 1.8532 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.1782 2023/02/02 20:38:00 - mmengine - INFO - Epoch(train) [201][1160/1879] lr: 1.4586e-02 eta: 14:55:30 time: 0.5301 data_time: 0.0320 memory: 18104 grad_norm: 5.2648 loss: 3.1835 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8877 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.2957 2023/02/02 20:38:10 - mmengine - INFO - Epoch(train) [201][1180/1879] lr: 1.4581e-02 eta: 14:55:20 time: 0.5137 data_time: 0.0406 memory: 18104 grad_norm: 5.3102 loss: 2.9250 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.6451 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.2799 2023/02/02 20:38:21 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 20:38:21 - mmengine - INFO - Epoch(train) [201][1200/1879] lr: 1.4576e-02 eta: 14:55:10 time: 0.5238 data_time: 0.0320 memory: 18104 grad_norm: 5.1291 loss: 2.9778 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7107 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.2671 2023/02/02 20:38:31 - mmengine - INFO - Epoch(train) [201][1220/1879] lr: 1.4570e-02 eta: 14:55:00 time: 0.5254 data_time: 0.0348 memory: 18104 grad_norm: 5.1685 loss: 2.8396 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.5630 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.2766 2023/02/02 20:38:42 - mmengine - INFO - Epoch(train) [201][1240/1879] lr: 1.4565e-02 eta: 14:54:50 time: 0.5309 data_time: 0.0389 memory: 18104 grad_norm: 5.2783 loss: 2.9734 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.7034 top1_acc_1: 0.6000 top5_acc_1: 0.7765 loss_cls_1: 1.2699 2023/02/02 20:38:53 - mmengine - INFO - Epoch(train) [201][1260/1879] lr: 1.4560e-02 eta: 14:54:40 time: 0.5241 data_time: 0.0337 memory: 18104 grad_norm: 5.2907 loss: 2.9633 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7426 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 1.2207 2023/02/02 20:39:03 - mmengine - INFO - Epoch(train) [201][1280/1879] lr: 1.4554e-02 eta: 14:54:30 time: 0.5308 data_time: 0.0311 memory: 18104 grad_norm: 5.1679 loss: 2.7592 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.5143 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.2449 2023/02/02 20:39:13 - mmengine - INFO - Epoch(train) [201][1300/1879] lr: 1.4549e-02 eta: 14:54:20 time: 0.5063 data_time: 0.0352 memory: 18104 grad_norm: 5.2718 loss: 2.9006 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6043 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.2963 2023/02/02 20:39:24 - mmengine - INFO - Epoch(train) [201][1320/1879] lr: 1.4544e-02 eta: 14:54:10 time: 0.5278 data_time: 0.0317 memory: 18104 grad_norm: 5.2198 loss: 2.9845 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7369 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.2476 2023/02/02 20:39:34 - mmengine - INFO - Epoch(train) [201][1340/1879] lr: 1.4538e-02 eta: 14:53:59 time: 0.5172 data_time: 0.0364 memory: 18104 grad_norm: 5.2692 loss: 3.0561 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7639 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.2922 2023/02/02 20:39:45 - mmengine - INFO - Epoch(train) [201][1360/1879] lr: 1.4533e-02 eta: 14:53:49 time: 0.5104 data_time: 0.0323 memory: 18104 grad_norm: 5.3117 loss: 2.9693 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7365 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.2327 2023/02/02 20:39:55 - mmengine - INFO - Epoch(train) [201][1380/1879] lr: 1.4528e-02 eta: 14:53:39 time: 0.5217 data_time: 0.0340 memory: 18104 grad_norm: 5.3965 loss: 2.9971 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7245 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.2727 2023/02/02 20:40:06 - mmengine - INFO - Epoch(train) [201][1400/1879] lr: 1.4523e-02 eta: 14:53:29 time: 0.5262 data_time: 0.0394 memory: 18104 grad_norm: 5.4232 loss: 3.0142 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 1.7784 top1_acc_1: 0.5412 top5_acc_1: 0.8235 loss_cls_1: 1.2358 2023/02/02 20:40:16 - mmengine - INFO - Epoch(train) [201][1420/1879] lr: 1.4517e-02 eta: 14:53:18 time: 0.5140 data_time: 0.0363 memory: 18104 grad_norm: 5.3446 loss: 2.9510 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.7485 top1_acc_1: 0.6471 top5_acc_1: 0.7882 loss_cls_1: 1.2025 2023/02/02 20:40:26 - mmengine - INFO - Epoch(train) [201][1440/1879] lr: 1.4512e-02 eta: 14:53:08 time: 0.5190 data_time: 0.0325 memory: 18104 grad_norm: 5.0990 loss: 3.1099 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.8089 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.3010 2023/02/02 20:40:36 - mmengine - INFO - Epoch(train) [201][1460/1879] lr: 1.4507e-02 eta: 14:52:57 time: 0.5046 data_time: 0.0391 memory: 18104 grad_norm: 5.2849 loss: 2.8889 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.6628 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.2261 2023/02/02 20:40:47 - mmengine - INFO - Epoch(train) [201][1480/1879] lr: 1.4501e-02 eta: 14:52:47 time: 0.5267 data_time: 0.0307 memory: 18104 grad_norm: 5.1620 loss: 2.8979 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6226 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.2753 2023/02/02 20:40:57 - mmengine - INFO - Epoch(train) [201][1500/1879] lr: 1.4496e-02 eta: 14:52:37 time: 0.5088 data_time: 0.0338 memory: 18104 grad_norm: 5.1906 loss: 2.9388 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7411 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.1976 2023/02/02 20:41:08 - mmengine - INFO - Epoch(train) [201][1520/1879] lr: 1.4491e-02 eta: 14:52:27 time: 0.5333 data_time: 0.0326 memory: 18104 grad_norm: 5.2681 loss: 3.2355 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8533 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.3821 2023/02/02 20:41:18 - mmengine - INFO - Epoch(train) [201][1540/1879] lr: 1.4485e-02 eta: 14:52:17 time: 0.5289 data_time: 0.0328 memory: 18104 grad_norm: 5.2532 loss: 3.1841 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.8571 top1_acc_1: 0.6118 top5_acc_1: 0.8588 loss_cls_1: 1.3270 2023/02/02 20:41:29 - mmengine - INFO - Epoch(train) [201][1560/1879] lr: 1.4480e-02 eta: 14:52:07 time: 0.5250 data_time: 0.0332 memory: 18104 grad_norm: 5.2636 loss: 3.0148 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.7612 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.2536 2023/02/02 20:41:40 - mmengine - INFO - Epoch(train) [201][1580/1879] lr: 1.4475e-02 eta: 14:51:58 time: 0.5347 data_time: 0.0346 memory: 18104 grad_norm: 5.3508 loss: 2.8573 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6334 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 1.2239 2023/02/02 20:41:51 - mmengine - INFO - Epoch(train) [201][1600/1879] lr: 1.4469e-02 eta: 14:51:48 time: 0.5453 data_time: 0.0431 memory: 18104 grad_norm: 5.2996 loss: 3.0449 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.7784 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 1.2665 2023/02/02 20:42:01 - mmengine - INFO - Epoch(train) [201][1620/1879] lr: 1.4464e-02 eta: 14:51:39 time: 0.5270 data_time: 0.0335 memory: 18104 grad_norm: 5.3705 loss: 3.1757 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 1.8718 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.3039 2023/02/02 20:42:12 - mmengine - INFO - Epoch(train) [201][1640/1879] lr: 1.4459e-02 eta: 14:51:29 time: 0.5309 data_time: 0.0319 memory: 18104 grad_norm: 5.3067 loss: 3.0159 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.7760 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.2399 2023/02/02 20:42:23 - mmengine - INFO - Epoch(train) [201][1660/1879] lr: 1.4454e-02 eta: 14:51:20 time: 0.5597 data_time: 0.0334 memory: 18104 grad_norm: 5.2124 loss: 3.0063 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7174 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.2889 2023/02/02 20:42:34 - mmengine - INFO - Epoch(train) [201][1680/1879] lr: 1.4448e-02 eta: 14:51:11 time: 0.5381 data_time: 0.0432 memory: 18104 grad_norm: 5.2847 loss: 2.9051 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.6402 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2649 2023/02/02 20:42:45 - mmengine - INFO - Epoch(train) [201][1700/1879] lr: 1.4443e-02 eta: 14:51:01 time: 0.5394 data_time: 0.0333 memory: 18104 grad_norm: 5.0916 loss: 2.9498 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6795 top1_acc_1: 0.7294 top5_acc_1: 0.8353 loss_cls_1: 1.2703 2023/02/02 20:42:55 - mmengine - INFO - Epoch(train) [201][1720/1879] lr: 1.4438e-02 eta: 14:50:52 time: 0.5395 data_time: 0.0318 memory: 18104 grad_norm: 5.2730 loss: 3.3505 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9789 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.3716 2023/02/02 20:43:06 - mmengine - INFO - Epoch(train) [201][1740/1879] lr: 1.4432e-02 eta: 14:50:42 time: 0.5294 data_time: 0.0335 memory: 18104 grad_norm: 5.2417 loss: 3.1361 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.8224 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.3137 2023/02/02 20:43:17 - mmengine - INFO - Epoch(train) [201][1760/1879] lr: 1.4427e-02 eta: 14:50:33 time: 0.5465 data_time: 0.0315 memory: 18104 grad_norm: 5.3039 loss: 2.8660 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.6713 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.1947 2023/02/02 20:43:28 - mmengine - INFO - Epoch(train) [201][1780/1879] lr: 1.4422e-02 eta: 14:50:23 time: 0.5271 data_time: 0.0361 memory: 18104 grad_norm: 5.2466 loss: 3.1421 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9376 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.2045 2023/02/02 20:43:38 - mmengine - INFO - Epoch(train) [201][1800/1879] lr: 1.4417e-02 eta: 14:50:13 time: 0.5399 data_time: 0.0312 memory: 18104 grad_norm: 5.2054 loss: 3.1499 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8601 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.2898 2023/02/02 20:43:49 - mmengine - INFO - Epoch(train) [201][1820/1879] lr: 1.4411e-02 eta: 14:50:04 time: 0.5315 data_time: 0.0360 memory: 18104 grad_norm: 5.2571 loss: 3.1312 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8765 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 1.2546 2023/02/02 20:44:00 - mmengine - INFO - Epoch(train) [201][1840/1879] lr: 1.4406e-02 eta: 14:49:54 time: 0.5390 data_time: 0.0320 memory: 18104 grad_norm: 5.3175 loss: 3.0729 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8440 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.2289 2023/02/02 20:44:10 - mmengine - INFO - Epoch(train) [201][1860/1879] lr: 1.4401e-02 eta: 14:49:44 time: 0.5248 data_time: 0.0344 memory: 18104 grad_norm: 5.2487 loss: 2.9118 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6442 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.2676 2023/02/02 20:44:20 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 20:44:20 - mmengine - INFO - Epoch(train) [201][1879/1879] lr: 1.4396e-02 eta: 14:49:34 time: 0.5172 data_time: 0.0363 memory: 18104 grad_norm: 5.3622 loss: 3.1614 top1_acc_0: 0.1429 top5_acc_0: 0.4286 loss_cls_0: 1.9339 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 1.2275 2023/02/02 20:44:35 - mmengine - INFO - Epoch(train) [202][ 20/1879] lr: 1.4390e-02 eta: 14:49:32 time: 0.7251 data_time: 0.2610 memory: 18104 grad_norm: 5.1915 loss: 3.0602 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.7963 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.2640 2023/02/02 20:44:45 - mmengine - INFO - Epoch(train) [202][ 40/1879] lr: 1.4385e-02 eta: 14:49:20 time: 0.4810 data_time: 0.0323 memory: 18104 grad_norm: 5.1487 loss: 2.9274 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7337 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.1937 2023/02/02 20:44:55 - mmengine - INFO - Epoch(train) [202][ 60/1879] lr: 1.4380e-02 eta: 14:49:09 time: 0.4860 data_time: 0.0369 memory: 18104 grad_norm: 5.1298 loss: 3.0309 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6947 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.3362 2023/02/02 20:45:06 - mmengine - INFO - Epoch(train) [202][ 80/1879] lr: 1.4375e-02 eta: 14:48:59 time: 0.5331 data_time: 0.0413 memory: 18104 grad_norm: 5.2439 loss: 2.9907 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8034 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 1.1873 2023/02/02 20:45:16 - mmengine - INFO - Epoch(train) [202][ 100/1879] lr: 1.4369e-02 eta: 14:48:48 time: 0.5007 data_time: 0.0372 memory: 18104 grad_norm: 5.2233 loss: 2.8968 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6286 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.2682 2023/02/02 20:45:26 - mmengine - INFO - Epoch(train) [202][ 120/1879] lr: 1.4364e-02 eta: 14:48:37 time: 0.4971 data_time: 0.0309 memory: 18104 grad_norm: 5.1415 loss: 3.0006 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7182 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.2824 2023/02/02 20:45:36 - mmengine - INFO - Epoch(train) [202][ 140/1879] lr: 1.4359e-02 eta: 14:48:27 time: 0.5257 data_time: 0.0361 memory: 18104 grad_norm: 5.1391 loss: 3.1463 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8904 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.2559 2023/02/02 20:45:46 - mmengine - INFO - Epoch(train) [202][ 160/1879] lr: 1.4353e-02 eta: 14:48:16 time: 0.5035 data_time: 0.0296 memory: 18104 grad_norm: 5.1578 loss: 2.7817 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.5560 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.2258 2023/02/02 20:45:56 - mmengine - INFO - Epoch(train) [202][ 180/1879] lr: 1.4348e-02 eta: 14:48:05 time: 0.4960 data_time: 0.0380 memory: 18104 grad_norm: 5.2039 loss: 3.1057 top1_acc_0: 0.5625 top5_acc_0: 1.0000 loss_cls_0: 1.8656 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.2400 2023/02/02 20:46:06 - mmengine - INFO - Epoch(train) [202][ 200/1879] lr: 1.4343e-02 eta: 14:47:54 time: 0.5055 data_time: 0.0305 memory: 18104 grad_norm: 5.2330 loss: 2.8140 top1_acc_0: 0.5625 top5_acc_0: 1.0000 loss_cls_0: 1.5705 top1_acc_1: 0.6941 top5_acc_1: 0.8118 loss_cls_1: 1.2435 2023/02/02 20:46:17 - mmengine - INFO - Epoch(train) [202][ 220/1879] lr: 1.4338e-02 eta: 14:47:45 time: 0.5306 data_time: 0.0383 memory: 18104 grad_norm: 5.3139 loss: 2.9822 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7385 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.2437 2023/02/02 20:46:27 - mmengine - INFO - Epoch(train) [202][ 240/1879] lr: 1.4332e-02 eta: 14:47:33 time: 0.4942 data_time: 0.0288 memory: 18104 grad_norm: 5.4086 loss: 3.3685 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 2.0259 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.3426 2023/02/02 20:46:37 - mmengine - INFO - Epoch(train) [202][ 260/1879] lr: 1.4327e-02 eta: 14:47:23 time: 0.5070 data_time: 0.0427 memory: 18104 grad_norm: 5.1670 loss: 2.9957 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7611 top1_acc_1: 0.7412 top5_acc_1: 0.8471 loss_cls_1: 1.2346 2023/02/02 20:46:48 - mmengine - INFO - Epoch(train) [202][ 280/1879] lr: 1.4322e-02 eta: 14:47:13 time: 0.5316 data_time: 0.0324 memory: 18104 grad_norm: 5.1932 loss: 2.9027 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6470 top1_acc_1: 0.6235 top5_acc_1: 0.8118 loss_cls_1: 1.2557 2023/02/02 20:46:58 - mmengine - INFO - Epoch(train) [202][ 300/1879] lr: 1.4316e-02 eta: 14:47:03 time: 0.5211 data_time: 0.0355 memory: 18104 grad_norm: 5.2359 loss: 2.9020 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6956 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.2064 2023/02/02 20:47:08 - mmengine - INFO - Epoch(train) [202][ 320/1879] lr: 1.4311e-02 eta: 14:46:52 time: 0.5044 data_time: 0.0292 memory: 18104 grad_norm: 5.2040 loss: 2.9537 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6137 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.3400 2023/02/02 20:47:09 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 20:47:19 - mmengine - INFO - Epoch(train) [202][ 340/1879] lr: 1.4306e-02 eta: 14:46:42 time: 0.5319 data_time: 0.0455 memory: 18104 grad_norm: 5.2862 loss: 2.9038 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.6541 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.2497 2023/02/02 20:47:29 - mmengine - INFO - Epoch(train) [202][ 360/1879] lr: 1.4301e-02 eta: 14:46:32 time: 0.5152 data_time: 0.0288 memory: 18104 grad_norm: 5.2202 loss: 3.0051 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.6712 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.3339 2023/02/02 20:47:39 - mmengine - INFO - Epoch(train) [202][ 380/1879] lr: 1.4295e-02 eta: 14:46:21 time: 0.5115 data_time: 0.0365 memory: 18104 grad_norm: 5.2937 loss: 3.1055 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7952 top1_acc_1: 0.6235 top5_acc_1: 0.9059 loss_cls_1: 1.3103 2023/02/02 20:47:50 - mmengine - INFO - Epoch(train) [202][ 400/1879] lr: 1.4290e-02 eta: 14:46:11 time: 0.5175 data_time: 0.0301 memory: 18104 grad_norm: 5.3390 loss: 3.1639 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.9782 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.1857 2023/02/02 20:48:00 - mmengine - INFO - Epoch(train) [202][ 420/1879] lr: 1.4285e-02 eta: 14:46:01 time: 0.5222 data_time: 0.0376 memory: 18104 grad_norm: 5.2846 loss: 2.9791 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7503 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.2289 2023/02/02 20:48:11 - mmengine - INFO - Epoch(train) [202][ 440/1879] lr: 1.4280e-02 eta: 14:45:51 time: 0.5203 data_time: 0.0293 memory: 18104 grad_norm: 5.1733 loss: 3.0445 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.8455 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.1990 2023/02/02 20:48:21 - mmengine - INFO - Epoch(train) [202][ 460/1879] lr: 1.4274e-02 eta: 14:45:41 time: 0.5182 data_time: 0.0430 memory: 18104 grad_norm: 5.1747 loss: 2.9516 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6888 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.2628 2023/02/02 20:48:31 - mmengine - INFO - Epoch(train) [202][ 480/1879] lr: 1.4269e-02 eta: 14:45:30 time: 0.5174 data_time: 0.0292 memory: 18104 grad_norm: 5.3010 loss: 2.8998 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6954 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.2044 2023/02/02 20:48:42 - mmengine - INFO - Epoch(train) [202][ 500/1879] lr: 1.4264e-02 eta: 14:45:20 time: 0.5245 data_time: 0.0353 memory: 18104 grad_norm: 5.2911 loss: 2.8056 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6072 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.1984 2023/02/02 20:48:52 - mmengine - INFO - Epoch(train) [202][ 520/1879] lr: 1.4258e-02 eta: 14:45:09 time: 0.5052 data_time: 0.0298 memory: 18104 grad_norm: 5.2266 loss: 3.0459 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.7718 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.2741 2023/02/02 20:49:03 - mmengine - INFO - Epoch(train) [202][ 540/1879] lr: 1.4253e-02 eta: 14:45:00 time: 0.5272 data_time: 0.0350 memory: 18104 grad_norm: 5.1836 loss: 2.7768 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4859 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.2908 2023/02/02 20:49:13 - mmengine - INFO - Epoch(train) [202][ 560/1879] lr: 1.4248e-02 eta: 14:44:49 time: 0.5030 data_time: 0.0284 memory: 18104 grad_norm: 5.2598 loss: 2.9488 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.6300 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.3188 2023/02/02 20:49:23 - mmengine - INFO - Epoch(train) [202][ 580/1879] lr: 1.4243e-02 eta: 14:44:38 time: 0.5170 data_time: 0.0352 memory: 18104 grad_norm: 5.3095 loss: 2.9312 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7133 top1_acc_1: 0.5882 top5_acc_1: 0.8588 loss_cls_1: 1.2179 2023/02/02 20:49:34 - mmengine - INFO - Epoch(train) [202][ 600/1879] lr: 1.4237e-02 eta: 14:44:28 time: 0.5244 data_time: 0.0360 memory: 18104 grad_norm: 5.2321 loss: 2.6846 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4618 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.2228 2023/02/02 20:49:44 - mmengine - INFO - Epoch(train) [202][ 620/1879] lr: 1.4232e-02 eta: 14:44:18 time: 0.5101 data_time: 0.0371 memory: 18104 grad_norm: 5.3605 loss: 3.1908 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 1.9956 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 1.1951 2023/02/02 20:49:54 - mmengine - INFO - Epoch(train) [202][ 640/1879] lr: 1.4227e-02 eta: 14:44:07 time: 0.5051 data_time: 0.0289 memory: 18104 grad_norm: 5.3236 loss: 3.0034 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.7674 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.2360 2023/02/02 20:50:05 - mmengine - INFO - Epoch(train) [202][ 660/1879] lr: 1.4222e-02 eta: 14:43:57 time: 0.5365 data_time: 0.0420 memory: 18104 grad_norm: 5.4970 loss: 3.0590 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8162 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 1.2428 2023/02/02 20:50:15 - mmengine - INFO - Epoch(train) [202][ 680/1879] lr: 1.4216e-02 eta: 14:43:47 time: 0.5023 data_time: 0.0299 memory: 18104 grad_norm: 5.3096 loss: 3.2216 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9494 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.2722 2023/02/02 20:50:25 - mmengine - INFO - Epoch(train) [202][ 700/1879] lr: 1.4211e-02 eta: 14:43:37 time: 0.5249 data_time: 0.0379 memory: 18104 grad_norm: 5.3402 loss: 3.0018 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8066 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.1953 2023/02/02 20:50:36 - mmengine - INFO - Epoch(train) [202][ 720/1879] lr: 1.4206e-02 eta: 14:43:26 time: 0.5121 data_time: 0.0374 memory: 18104 grad_norm: 5.2302 loss: 3.0310 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7164 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.3146 2023/02/02 20:50:46 - mmengine - INFO - Epoch(train) [202][ 740/1879] lr: 1.4201e-02 eta: 14:43:17 time: 0.5387 data_time: 0.0390 memory: 18104 grad_norm: 5.1552 loss: 2.8457 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5965 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 1.2492 2023/02/02 20:50:56 - mmengine - INFO - Epoch(train) [202][ 760/1879] lr: 1.4195e-02 eta: 14:43:06 time: 0.5066 data_time: 0.0289 memory: 18104 grad_norm: 5.2474 loss: 3.1929 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.9538 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 1.2391 2023/02/02 20:51:07 - mmengine - INFO - Epoch(train) [202][ 780/1879] lr: 1.4190e-02 eta: 14:42:55 time: 0.5036 data_time: 0.0433 memory: 18104 grad_norm: 5.2453 loss: 2.8661 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6721 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 1.1940 2023/02/02 20:51:17 - mmengine - INFO - Epoch(train) [202][ 800/1879] lr: 1.4185e-02 eta: 14:42:45 time: 0.5149 data_time: 0.0312 memory: 18104 grad_norm: 5.3243 loss: 3.1722 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9331 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.2391 2023/02/02 20:51:27 - mmengine - INFO - Epoch(train) [202][ 820/1879] lr: 1.4180e-02 eta: 14:42:34 time: 0.4984 data_time: 0.0380 memory: 18104 grad_norm: 5.3477 loss: 3.1072 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8942 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.2129 2023/02/02 20:51:37 - mmengine - INFO - Epoch(train) [202][ 840/1879] lr: 1.4174e-02 eta: 14:42:22 time: 0.4946 data_time: 0.0284 memory: 18104 grad_norm: 5.3359 loss: 3.1940 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8966 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.2974 2023/02/02 20:51:47 - mmengine - INFO - Epoch(train) [202][ 860/1879] lr: 1.4169e-02 eta: 14:42:12 time: 0.5067 data_time: 0.0449 memory: 18104 grad_norm: 5.4560 loss: 2.9905 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6775 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.3130 2023/02/02 20:51:57 - mmengine - INFO - Epoch(train) [202][ 880/1879] lr: 1.4164e-02 eta: 14:42:01 time: 0.5091 data_time: 0.0290 memory: 18104 grad_norm: 5.3442 loss: 3.0316 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7652 top1_acc_1: 0.5882 top5_acc_1: 0.8941 loss_cls_1: 1.2664 2023/02/02 20:52:07 - mmengine - INFO - Epoch(train) [202][ 900/1879] lr: 1.4159e-02 eta: 14:41:50 time: 0.4970 data_time: 0.0377 memory: 18104 grad_norm: 5.3573 loss: 2.9828 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.7911 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.1917 2023/02/02 20:52:17 - mmengine - INFO - Epoch(train) [202][ 920/1879] lr: 1.4153e-02 eta: 14:41:39 time: 0.5044 data_time: 0.0298 memory: 18104 grad_norm: 5.2623 loss: 3.0506 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7996 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.2510 2023/02/02 20:52:27 - mmengine - INFO - Epoch(train) [202][ 940/1879] lr: 1.4148e-02 eta: 14:41:28 time: 0.5007 data_time: 0.0353 memory: 18104 grad_norm: 5.3467 loss: 2.8540 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.6641 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.1898 2023/02/02 20:52:37 - mmengine - INFO - Epoch(train) [202][ 960/1879] lr: 1.4143e-02 eta: 14:41:18 time: 0.5015 data_time: 0.0295 memory: 18104 grad_norm: 5.3687 loss: 2.8861 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6726 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.2134 2023/02/02 20:52:47 - mmengine - INFO - Epoch(train) [202][ 980/1879] lr: 1.4138e-02 eta: 14:41:07 time: 0.5007 data_time: 0.0446 memory: 18104 grad_norm: 5.2799 loss: 2.9768 top1_acc_0: 0.5625 top5_acc_0: 1.0000 loss_cls_0: 1.6788 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.2980 2023/02/02 20:52:57 - mmengine - INFO - Epoch(train) [202][1000/1879] lr: 1.4132e-02 eta: 14:40:56 time: 0.5038 data_time: 0.0294 memory: 18104 grad_norm: 5.1839 loss: 2.8420 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 1.5753 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.2667 2023/02/02 20:53:07 - mmengine - INFO - Epoch(train) [202][1020/1879] lr: 1.4127e-02 eta: 14:40:45 time: 0.4980 data_time: 0.0376 memory: 18104 grad_norm: 5.2499 loss: 3.1654 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8756 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.2898 2023/02/02 20:53:17 - mmengine - INFO - Epoch(train) [202][1040/1879] lr: 1.4122e-02 eta: 14:40:34 time: 0.4993 data_time: 0.0299 memory: 18104 grad_norm: 5.1665 loss: 3.0072 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7224 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.2847 2023/02/02 20:53:28 - mmengine - INFO - Epoch(train) [202][1060/1879] lr: 1.4117e-02 eta: 14:40:23 time: 0.5128 data_time: 0.0455 memory: 18104 grad_norm: 5.2979 loss: 3.1430 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8439 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.2991 2023/02/02 20:53:38 - mmengine - INFO - Epoch(train) [202][1080/1879] lr: 1.4111e-02 eta: 14:40:13 time: 0.5024 data_time: 0.0299 memory: 18104 grad_norm: 5.3412 loss: 2.8806 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6605 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.2202 2023/02/02 20:53:48 - mmengine - INFO - Epoch(train) [202][1100/1879] lr: 1.4106e-02 eta: 14:40:02 time: 0.5004 data_time: 0.0390 memory: 18104 grad_norm: 5.3661 loss: 3.1540 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8187 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.3353 2023/02/02 20:53:58 - mmengine - INFO - Epoch(train) [202][1120/1879] lr: 1.4101e-02 eta: 14:39:51 time: 0.5140 data_time: 0.0322 memory: 18104 grad_norm: 5.2662 loss: 2.9657 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7625 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.2032 2023/02/02 20:54:08 - mmengine - INFO - Epoch(train) [202][1140/1879] lr: 1.4096e-02 eta: 14:39:40 time: 0.5033 data_time: 0.0355 memory: 18104 grad_norm: 5.4718 loss: 3.1448 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7996 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.3451 2023/02/02 20:54:18 - mmengine - INFO - Epoch(train) [202][1160/1879] lr: 1.4090e-02 eta: 14:39:29 time: 0.4956 data_time: 0.0343 memory: 18104 grad_norm: 5.4638 loss: 2.9218 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.6584 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.2634 2023/02/02 20:54:28 - mmengine - INFO - Epoch(train) [202][1180/1879] lr: 1.4085e-02 eta: 14:39:18 time: 0.5017 data_time: 0.0334 memory: 18104 grad_norm: 5.2251 loss: 2.7893 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6490 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.1403 2023/02/02 20:54:39 - mmengine - INFO - Epoch(train) [202][1200/1879] lr: 1.4080e-02 eta: 14:39:08 time: 0.5151 data_time: 0.0405 memory: 18104 grad_norm: 5.2837 loss: 2.9860 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7686 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.2175 2023/02/02 20:54:48 - mmengine - INFO - Epoch(train) [202][1220/1879] lr: 1.4075e-02 eta: 14:38:57 time: 0.4943 data_time: 0.0355 memory: 18104 grad_norm: 5.2971 loss: 3.0182 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7428 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 1.2754 2023/02/02 20:54:58 - mmengine - INFO - Epoch(train) [202][1240/1879] lr: 1.4069e-02 eta: 14:38:46 time: 0.4940 data_time: 0.0361 memory: 18104 grad_norm: 5.3384 loss: 2.9907 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7824 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.2083 2023/02/02 20:55:09 - mmengine - INFO - Epoch(train) [202][1260/1879] lr: 1.4064e-02 eta: 14:38:35 time: 0.5144 data_time: 0.0421 memory: 18104 grad_norm: 5.3182 loss: 2.8729 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6081 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.2648 2023/02/02 20:55:19 - mmengine - INFO - Epoch(train) [202][1280/1879] lr: 1.4059e-02 eta: 14:38:25 time: 0.5106 data_time: 0.0343 memory: 18104 grad_norm: 5.2856 loss: 2.8785 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6679 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.2107 2023/02/02 20:55:29 - mmengine - INFO - Epoch(train) [202][1300/1879] lr: 1.4054e-02 eta: 14:38:14 time: 0.5056 data_time: 0.0327 memory: 18104 grad_norm: 5.3683 loss: 3.0686 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8326 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.2360 2023/02/02 20:55:39 - mmengine - INFO - Epoch(train) [202][1320/1879] lr: 1.4048e-02 eta: 14:38:04 time: 0.5084 data_time: 0.0353 memory: 18104 grad_norm: 5.3841 loss: 3.0444 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.7634 top1_acc_1: 0.7059 top5_acc_1: 0.9412 loss_cls_1: 1.2810 2023/02/02 20:55:40 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 20:55:50 - mmengine - INFO - Epoch(train) [202][1340/1879] lr: 1.4043e-02 eta: 14:37:53 time: 0.5142 data_time: 0.0341 memory: 18104 grad_norm: 5.3312 loss: 3.1091 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7760 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.3331 2023/02/02 20:56:00 - mmengine - INFO - Epoch(train) [202][1360/1879] lr: 1.4038e-02 eta: 14:37:42 time: 0.4992 data_time: 0.0312 memory: 18104 grad_norm: 5.3666 loss: 3.0430 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.7854 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.2576 2023/02/02 20:56:10 - mmengine - INFO - Epoch(train) [202][1380/1879] lr: 1.4033e-02 eta: 14:37:31 time: 0.5029 data_time: 0.0364 memory: 18104 grad_norm: 5.3214 loss: 3.1222 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.8258 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.2964 2023/02/02 20:56:20 - mmengine - INFO - Epoch(train) [202][1400/1879] lr: 1.4027e-02 eta: 14:37:21 time: 0.5090 data_time: 0.0325 memory: 18104 grad_norm: 5.3391 loss: 3.1567 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.8894 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.2673 2023/02/02 20:56:30 - mmengine - INFO - Epoch(train) [202][1420/1879] lr: 1.4022e-02 eta: 14:37:10 time: 0.5131 data_time: 0.0348 memory: 18104 grad_norm: 5.3167 loss: 2.9818 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6879 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.2940 2023/02/02 20:56:40 - mmengine - INFO - Epoch(train) [202][1440/1879] lr: 1.4017e-02 eta: 14:37:00 time: 0.5046 data_time: 0.0313 memory: 18104 grad_norm: 5.2489 loss: 2.8612 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.6092 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.2520 2023/02/02 20:56:50 - mmengine - INFO - Epoch(train) [202][1460/1879] lr: 1.4012e-02 eta: 14:36:49 time: 0.5048 data_time: 0.0364 memory: 18104 grad_norm: 5.1989 loss: 2.7787 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6244 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.1543 2023/02/02 20:57:01 - mmengine - INFO - Epoch(train) [202][1480/1879] lr: 1.4007e-02 eta: 14:36:38 time: 0.5118 data_time: 0.0333 memory: 18104 grad_norm: 5.2444 loss: 3.0001 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7700 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.2301 2023/02/02 20:57:11 - mmengine - INFO - Epoch(train) [202][1500/1879] lr: 1.4001e-02 eta: 14:36:27 time: 0.5024 data_time: 0.0356 memory: 18104 grad_norm: 5.2894 loss: 2.9841 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6691 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.3149 2023/02/02 20:57:21 - mmengine - INFO - Epoch(train) [202][1520/1879] lr: 1.3996e-02 eta: 14:36:17 time: 0.5069 data_time: 0.0324 memory: 18104 grad_norm: 5.2681 loss: 2.9845 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.7435 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.2410 2023/02/02 20:57:31 - mmengine - INFO - Epoch(train) [202][1540/1879] lr: 1.3991e-02 eta: 14:36:07 time: 0.5185 data_time: 0.0355 memory: 18104 grad_norm: 5.3710 loss: 3.1184 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7871 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.3313 2023/02/02 20:57:41 - mmengine - INFO - Epoch(train) [202][1560/1879] lr: 1.3986e-02 eta: 14:35:56 time: 0.5091 data_time: 0.0385 memory: 18104 grad_norm: 5.3262 loss: 3.0264 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.8109 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.2155 2023/02/02 20:57:52 - mmengine - INFO - Epoch(train) [202][1580/1879] lr: 1.3980e-02 eta: 14:35:45 time: 0.5088 data_time: 0.0368 memory: 18104 grad_norm: 5.4239 loss: 3.1811 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.9239 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.2572 2023/02/02 20:58:02 - mmengine - INFO - Epoch(train) [202][1600/1879] lr: 1.3975e-02 eta: 14:35:35 time: 0.5126 data_time: 0.0324 memory: 18104 grad_norm: 5.2661 loss: 2.9819 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.7497 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.2323 2023/02/02 20:58:12 - mmengine - INFO - Epoch(train) [202][1620/1879] lr: 1.3970e-02 eta: 14:35:24 time: 0.5060 data_time: 0.0342 memory: 18104 grad_norm: 5.2921 loss: 3.1442 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8945 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.2497 2023/02/02 20:58:22 - mmengine - INFO - Epoch(train) [202][1640/1879] lr: 1.3965e-02 eta: 14:35:14 time: 0.5116 data_time: 0.0318 memory: 18104 grad_norm: 5.4612 loss: 2.9546 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.7663 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.1883 2023/02/02 20:58:33 - mmengine - INFO - Epoch(train) [202][1660/1879] lr: 1.3960e-02 eta: 14:35:03 time: 0.5166 data_time: 0.0340 memory: 18104 grad_norm: 5.3431 loss: 3.0396 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.7274 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.3122 2023/02/02 20:58:43 - mmengine - INFO - Epoch(train) [202][1680/1879] lr: 1.3954e-02 eta: 14:34:53 time: 0.5054 data_time: 0.0315 memory: 18104 grad_norm: 5.3522 loss: 3.1653 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8513 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.3140 2023/02/02 20:58:53 - mmengine - INFO - Epoch(train) [202][1700/1879] lr: 1.3949e-02 eta: 14:34:42 time: 0.5157 data_time: 0.0349 memory: 18104 grad_norm: 5.1914 loss: 3.0611 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.7434 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.3177 2023/02/02 20:59:03 - mmengine - INFO - Epoch(train) [202][1720/1879] lr: 1.3944e-02 eta: 14:34:32 time: 0.5162 data_time: 0.0342 memory: 18104 grad_norm: 5.3767 loss: 3.0007 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.7847 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2159 2023/02/02 20:59:14 - mmengine - INFO - Epoch(train) [202][1740/1879] lr: 1.3939e-02 eta: 14:34:22 time: 0.5166 data_time: 0.0372 memory: 18104 grad_norm: 5.2559 loss: 3.0830 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.7553 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.3277 2023/02/02 20:59:24 - mmengine - INFO - Epoch(train) [202][1760/1879] lr: 1.3933e-02 eta: 14:34:12 time: 0.5289 data_time: 0.0305 memory: 18104 grad_norm: 5.3012 loss: 3.2485 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9792 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.2693 2023/02/02 20:59:35 - mmengine - INFO - Epoch(train) [202][1780/1879] lr: 1.3928e-02 eta: 14:34:02 time: 0.5221 data_time: 0.0353 memory: 18104 grad_norm: 5.3922 loss: 3.1040 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7479 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.3562 2023/02/02 20:59:45 - mmengine - INFO - Epoch(train) [202][1800/1879] lr: 1.3923e-02 eta: 14:33:51 time: 0.5153 data_time: 0.0334 memory: 18104 grad_norm: 5.2247 loss: 2.9153 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6743 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.2410 2023/02/02 20:59:55 - mmengine - INFO - Epoch(train) [202][1820/1879] lr: 1.3918e-02 eta: 14:33:41 time: 0.5135 data_time: 0.0360 memory: 18104 grad_norm: 5.3554 loss: 3.1288 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.8396 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 1.2892 2023/02/02 21:00:06 - mmengine - INFO - Epoch(train) [202][1840/1879] lr: 1.3913e-02 eta: 14:33:30 time: 0.5127 data_time: 0.0343 memory: 18104 grad_norm: 5.1379 loss: 2.8667 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6692 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.1975 2023/02/02 21:00:16 - mmengine - INFO - Epoch(train) [202][1860/1879] lr: 1.3907e-02 eta: 14:33:20 time: 0.5194 data_time: 0.0339 memory: 18104 grad_norm: 5.3513 loss: 3.2282 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 1.9308 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.2974 2023/02/02 21:00:25 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 21:00:25 - mmengine - INFO - Epoch(train) [202][1879/1879] lr: 1.3902e-02 eta: 14:33:09 time: 0.4880 data_time: 0.0306 memory: 18104 grad_norm: 5.5391 loss: 3.1624 top1_acc_0: 0.5714 top5_acc_0: 0.7143 loss_cls_0: 1.8343 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.3281 2023/02/02 21:00:40 - mmengine - INFO - Epoch(train) [203][ 20/1879] lr: 1.3897e-02 eta: 14:33:07 time: 0.7205 data_time: 0.2563 memory: 18104 grad_norm: 5.1452 loss: 2.5971 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4170 top1_acc_1: 0.7529 top5_acc_1: 0.9765 loss_cls_1: 1.1801 2023/02/02 21:00:50 - mmengine - INFO - Epoch(train) [203][ 40/1879] lr: 1.3892e-02 eta: 14:32:55 time: 0.4732 data_time: 0.0354 memory: 18104 grad_norm: 5.2999 loss: 2.8357 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.6347 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.2010 2023/02/02 21:01:00 - mmengine - INFO - Epoch(train) [203][ 60/1879] lr: 1.3887e-02 eta: 14:32:43 time: 0.4924 data_time: 0.0375 memory: 18104 grad_norm: 5.3116 loss: 3.0114 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7273 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.2840 2023/02/02 21:01:10 - mmengine - INFO - Epoch(train) [203][ 80/1879] lr: 1.3882e-02 eta: 14:32:33 time: 0.5060 data_time: 0.0333 memory: 18104 grad_norm: 5.2259 loss: 2.9259 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6780 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.2479 2023/02/02 21:01:20 - mmengine - INFO - Epoch(train) [203][ 100/1879] lr: 1.3876e-02 eta: 14:32:21 time: 0.4863 data_time: 0.0346 memory: 18104 grad_norm: 5.2810 loss: 3.0519 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8274 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.2245 2023/02/02 21:01:29 - mmengine - INFO - Epoch(train) [203][ 120/1879] lr: 1.3871e-02 eta: 14:32:10 time: 0.4763 data_time: 0.0331 memory: 18104 grad_norm: 5.3101 loss: 2.8549 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.6369 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.2181 2023/02/02 21:01:39 - mmengine - INFO - Epoch(train) [203][ 140/1879] lr: 1.3866e-02 eta: 14:31:59 time: 0.5060 data_time: 0.0366 memory: 18104 grad_norm: 5.2646 loss: 2.8607 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6531 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.2077 2023/02/02 21:01:49 - mmengine - INFO - Epoch(train) [203][ 160/1879] lr: 1.3861e-02 eta: 14:31:48 time: 0.4921 data_time: 0.0416 memory: 18104 grad_norm: 5.3869 loss: 2.8797 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.6158 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 1.2638 2023/02/02 21:01:59 - mmengine - INFO - Epoch(train) [203][ 180/1879] lr: 1.3856e-02 eta: 14:31:37 time: 0.4933 data_time: 0.0343 memory: 18104 grad_norm: 5.2217 loss: 2.9010 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.7066 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.1944 2023/02/02 21:02:09 - mmengine - INFO - Epoch(train) [203][ 200/1879] lr: 1.3850e-02 eta: 14:31:25 time: 0.4900 data_time: 0.0336 memory: 18104 grad_norm: 5.2385 loss: 3.0084 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7590 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 1.2493 2023/02/02 21:02:19 - mmengine - INFO - Epoch(train) [203][ 220/1879] lr: 1.3845e-02 eta: 14:31:15 time: 0.5143 data_time: 0.0417 memory: 18104 grad_norm: 5.1452 loss: 3.0247 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 1.7874 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.2373 2023/02/02 21:02:29 - mmengine - INFO - Epoch(train) [203][ 240/1879] lr: 1.3840e-02 eta: 14:31:03 time: 0.4864 data_time: 0.0330 memory: 18104 grad_norm: 5.3661 loss: 2.8032 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.6407 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.1625 2023/02/02 21:02:39 - mmengine - INFO - Epoch(train) [203][ 260/1879] lr: 1.3835e-02 eta: 14:30:53 time: 0.5057 data_time: 0.0363 memory: 18104 grad_norm: 5.2700 loss: 2.9140 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.6912 top1_acc_1: 0.7059 top5_acc_1: 0.9412 loss_cls_1: 1.2228 2023/02/02 21:02:49 - mmengine - INFO - Epoch(train) [203][ 280/1879] lr: 1.3830e-02 eta: 14:30:42 time: 0.4939 data_time: 0.0329 memory: 18104 grad_norm: 5.2532 loss: 2.7993 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6155 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.1838 2023/02/02 21:02:59 - mmengine - INFO - Epoch(train) [203][ 300/1879] lr: 1.3824e-02 eta: 14:30:31 time: 0.5103 data_time: 0.0452 memory: 18104 grad_norm: 5.3663 loss: 2.9942 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7849 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 1.2093 2023/02/02 21:03:09 - mmengine - INFO - Epoch(train) [203][ 320/1879] lr: 1.3819e-02 eta: 14:30:20 time: 0.4878 data_time: 0.0337 memory: 18104 grad_norm: 5.3443 loss: 2.9434 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.7132 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.2303 2023/02/02 21:03:19 - mmengine - INFO - Epoch(train) [203][ 340/1879] lr: 1.3814e-02 eta: 14:30:09 time: 0.4991 data_time: 0.0351 memory: 18104 grad_norm: 5.2250 loss: 2.7161 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4359 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.2802 2023/02/02 21:03:29 - mmengine - INFO - Epoch(train) [203][ 360/1879] lr: 1.3809e-02 eta: 14:29:58 time: 0.5037 data_time: 0.0340 memory: 18104 grad_norm: 5.2786 loss: 2.7786 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.6137 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.1649 2023/02/02 21:03:39 - mmengine - INFO - Epoch(train) [203][ 380/1879] lr: 1.3804e-02 eta: 14:29:47 time: 0.5015 data_time: 0.0430 memory: 18104 grad_norm: 5.2936 loss: 3.1073 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7644 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.3429 2023/02/02 21:03:49 - mmengine - INFO - Epoch(train) [203][ 400/1879] lr: 1.3798e-02 eta: 14:29:36 time: 0.4836 data_time: 0.0346 memory: 18104 grad_norm: 5.3173 loss: 2.9868 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7627 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 1.2241 2023/02/02 21:03:59 - mmengine - INFO - Epoch(train) [203][ 420/1879] lr: 1.3793e-02 eta: 14:29:25 time: 0.4991 data_time: 0.0348 memory: 18104 grad_norm: 5.2830 loss: 3.0661 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7687 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.2974 2023/02/02 21:04:09 - mmengine - INFO - Epoch(train) [203][ 440/1879] lr: 1.3788e-02 eta: 14:29:13 time: 0.4810 data_time: 0.0342 memory: 18104 grad_norm: 5.3305 loss: 2.8668 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6663 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.2004 2023/02/02 21:04:10 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 21:04:19 - mmengine - INFO - Epoch(train) [203][ 460/1879] lr: 1.3783e-02 eta: 14:29:02 time: 0.5006 data_time: 0.0421 memory: 18104 grad_norm: 5.4040 loss: 3.0522 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.8484 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.2038 2023/02/02 21:04:28 - mmengine - INFO - Epoch(train) [203][ 480/1879] lr: 1.3778e-02 eta: 14:28:51 time: 0.4770 data_time: 0.0330 memory: 18104 grad_norm: 5.3732 loss: 2.9891 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 1.7026 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.2866 2023/02/02 21:04:38 - mmengine - INFO - Epoch(train) [203][ 500/1879] lr: 1.3772e-02 eta: 14:28:40 time: 0.4995 data_time: 0.0377 memory: 18104 grad_norm: 5.3185 loss: 2.9328 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6693 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.2635 2023/02/02 21:04:48 - mmengine - INFO - Epoch(train) [203][ 520/1879] lr: 1.3767e-02 eta: 14:28:28 time: 0.4890 data_time: 0.0334 memory: 18104 grad_norm: 5.3208 loss: 2.9976 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.7272 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.2704 2023/02/02 21:04:58 - mmengine - INFO - Epoch(train) [203][ 540/1879] lr: 1.3762e-02 eta: 14:28:17 time: 0.4919 data_time: 0.0417 memory: 18104 grad_norm: 5.2967 loss: 2.9594 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.7327 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.2267 2023/02/02 21:05:08 - mmengine - INFO - Epoch(train) [203][ 560/1879] lr: 1.3757e-02 eta: 14:28:06 time: 0.4933 data_time: 0.0322 memory: 18104 grad_norm: 5.4352 loss: 2.9196 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6823 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.2373 2023/02/02 21:05:18 - mmengine - INFO - Epoch(train) [203][ 580/1879] lr: 1.3752e-02 eta: 14:27:55 time: 0.4930 data_time: 0.0342 memory: 18104 grad_norm: 5.3918 loss: 2.9412 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.7148 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.2264 2023/02/02 21:05:27 - mmengine - INFO - Epoch(train) [203][ 600/1879] lr: 1.3746e-02 eta: 14:27:43 time: 0.4752 data_time: 0.0333 memory: 18104 grad_norm: 5.3440 loss: 3.1945 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.9335 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.2610 2023/02/02 21:05:37 - mmengine - INFO - Epoch(train) [203][ 620/1879] lr: 1.3741e-02 eta: 14:27:32 time: 0.4993 data_time: 0.0433 memory: 18104 grad_norm: 5.3408 loss: 2.9485 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7270 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.2216 2023/02/02 21:05:47 - mmengine - INFO - Epoch(train) [203][ 640/1879] lr: 1.3736e-02 eta: 14:27:21 time: 0.4835 data_time: 0.0317 memory: 18104 grad_norm: 5.2264 loss: 3.0933 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.7923 top1_acc_1: 0.6941 top5_acc_1: 0.7882 loss_cls_1: 1.3010 2023/02/02 21:05:57 - mmengine - INFO - Epoch(train) [203][ 660/1879] lr: 1.3731e-02 eta: 14:27:10 time: 0.4964 data_time: 0.0356 memory: 18104 grad_norm: 5.3585 loss: 2.8060 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.6682 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.1378 2023/02/02 21:06:06 - mmengine - INFO - Epoch(train) [203][ 680/1879] lr: 1.3726e-02 eta: 14:26:58 time: 0.4843 data_time: 0.0356 memory: 18104 grad_norm: 5.2254 loss: 2.9389 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6509 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2880 2023/02/02 21:06:17 - mmengine - INFO - Epoch(train) [203][ 700/1879] lr: 1.3721e-02 eta: 14:26:47 time: 0.5035 data_time: 0.0359 memory: 18104 grad_norm: 5.2937 loss: 2.8550 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5896 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.2654 2023/02/02 21:06:26 - mmengine - INFO - Epoch(train) [203][ 720/1879] lr: 1.3715e-02 eta: 14:26:36 time: 0.4880 data_time: 0.0348 memory: 18104 grad_norm: 5.4269 loss: 3.0339 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7945 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.2394 2023/02/02 21:06:36 - mmengine - INFO - Epoch(train) [203][ 740/1879] lr: 1.3710e-02 eta: 14:26:25 time: 0.4878 data_time: 0.0349 memory: 18104 grad_norm: 5.3053 loss: 2.8060 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.5589 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.2471 2023/02/02 21:06:46 - mmengine - INFO - Epoch(train) [203][ 760/1879] lr: 1.3705e-02 eta: 14:26:14 time: 0.4996 data_time: 0.0405 memory: 18104 grad_norm: 5.4064 loss: 2.9411 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.6917 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.2493 2023/02/02 21:06:56 - mmengine - INFO - Epoch(train) [203][ 780/1879] lr: 1.3700e-02 eta: 14:26:03 time: 0.4846 data_time: 0.0344 memory: 18104 grad_norm: 5.3342 loss: 2.8751 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6575 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.2176 2023/02/02 21:07:06 - mmengine - INFO - Epoch(train) [203][ 800/1879] lr: 1.3695e-02 eta: 14:25:51 time: 0.4947 data_time: 0.0340 memory: 18104 grad_norm: 5.3545 loss: 3.0480 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7563 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.2917 2023/02/02 21:07:16 - mmengine - INFO - Epoch(train) [203][ 820/1879] lr: 1.3689e-02 eta: 14:25:40 time: 0.4862 data_time: 0.0354 memory: 18104 grad_norm: 5.4778 loss: 2.9906 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7573 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.2332 2023/02/02 21:07:25 - mmengine - INFO - Epoch(train) [203][ 840/1879] lr: 1.3684e-02 eta: 14:25:29 time: 0.4862 data_time: 0.0326 memory: 18104 grad_norm: 5.3450 loss: 3.0187 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7442 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.2745 2023/02/02 21:07:36 - mmengine - INFO - Epoch(train) [203][ 860/1879] lr: 1.3679e-02 eta: 14:25:18 time: 0.5109 data_time: 0.0368 memory: 18104 grad_norm: 5.2991 loss: 3.0688 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8370 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.2318 2023/02/02 21:07:45 - mmengine - INFO - Epoch(train) [203][ 880/1879] lr: 1.3674e-02 eta: 14:25:07 time: 0.4852 data_time: 0.0347 memory: 18104 grad_norm: 5.3503 loss: 2.9150 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6699 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.2451 2023/02/02 21:07:55 - mmengine - INFO - Epoch(train) [203][ 900/1879] lr: 1.3669e-02 eta: 14:24:56 time: 0.4969 data_time: 0.0439 memory: 18104 grad_norm: 5.3501 loss: 2.9288 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.7653 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.1634 2023/02/02 21:08:05 - mmengine - INFO - Epoch(train) [203][ 920/1879] lr: 1.3664e-02 eta: 14:24:45 time: 0.4979 data_time: 0.0374 memory: 18104 grad_norm: 5.3264 loss: 2.9919 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.7730 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.2189 2023/02/02 21:08:15 - mmengine - INFO - Epoch(train) [203][ 940/1879] lr: 1.3658e-02 eta: 14:24:34 time: 0.4976 data_time: 0.0342 memory: 18104 grad_norm: 5.3582 loss: 3.1245 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7944 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.3301 2023/02/02 21:08:25 - mmengine - INFO - Epoch(train) [203][ 960/1879] lr: 1.3653e-02 eta: 14:24:23 time: 0.4922 data_time: 0.0336 memory: 18104 grad_norm: 5.4099 loss: 3.0429 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7875 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.2553 2023/02/02 21:08:35 - mmengine - INFO - Epoch(train) [203][ 980/1879] lr: 1.3648e-02 eta: 14:24:12 time: 0.4973 data_time: 0.0348 memory: 18104 grad_norm: 5.3588 loss: 2.9723 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.7170 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.2553 2023/02/02 21:08:45 - mmengine - INFO - Epoch(train) [203][1000/1879] lr: 1.3643e-02 eta: 14:24:01 time: 0.4903 data_time: 0.0366 memory: 18104 grad_norm: 5.3828 loss: 3.0282 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.7842 top1_acc_1: 0.5529 top5_acc_1: 0.7765 loss_cls_1: 1.2439 2023/02/02 21:08:55 - mmengine - INFO - Epoch(train) [203][1020/1879] lr: 1.3638e-02 eta: 14:23:49 time: 0.4957 data_time: 0.0350 memory: 18104 grad_norm: 5.5187 loss: 3.3214 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 2.0211 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.3004 2023/02/02 21:09:04 - mmengine - INFO - Epoch(train) [203][1040/1879] lr: 1.3633e-02 eta: 14:23:38 time: 0.4837 data_time: 0.0342 memory: 18104 grad_norm: 5.2634 loss: 2.9164 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.6762 top1_acc_1: 0.7882 top5_acc_1: 0.8824 loss_cls_1: 1.2402 2023/02/02 21:09:14 - mmengine - INFO - Epoch(train) [203][1060/1879] lr: 1.3627e-02 eta: 14:23:27 time: 0.4975 data_time: 0.0355 memory: 18104 grad_norm: 5.2321 loss: 3.0073 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.7837 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.2236 2023/02/02 21:09:24 - mmengine - INFO - Epoch(train) [203][1080/1879] lr: 1.3622e-02 eta: 14:23:16 time: 0.4913 data_time: 0.0326 memory: 18104 grad_norm: 5.3077 loss: 2.8236 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.6168 top1_acc_1: 0.5412 top5_acc_1: 0.8824 loss_cls_1: 1.2068 2023/02/02 21:09:34 - mmengine - INFO - Epoch(train) [203][1100/1879] lr: 1.3617e-02 eta: 14:23:05 time: 0.4966 data_time: 0.0379 memory: 18104 grad_norm: 5.3387 loss: 2.9082 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7042 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.2040 2023/02/02 21:09:44 - mmengine - INFO - Epoch(train) [203][1120/1879] lr: 1.3612e-02 eta: 14:22:53 time: 0.4785 data_time: 0.0338 memory: 18104 grad_norm: 5.4306 loss: 3.0037 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.7854 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.2183 2023/02/02 21:09:54 - mmengine - INFO - Epoch(train) [203][1140/1879] lr: 1.3607e-02 eta: 14:22:42 time: 0.4969 data_time: 0.0369 memory: 18104 grad_norm: 5.2850 loss: 3.1849 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.9910 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.1939 2023/02/02 21:10:04 - mmengine - INFO - Epoch(train) [203][1160/1879] lr: 1.3602e-02 eta: 14:22:31 time: 0.4972 data_time: 0.0345 memory: 18104 grad_norm: 5.2652 loss: 3.0589 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.6689 top1_acc_1: 0.6235 top5_acc_1: 0.8941 loss_cls_1: 1.3900 2023/02/02 21:10:14 - mmengine - INFO - Epoch(train) [203][1180/1879] lr: 1.3596e-02 eta: 14:22:20 time: 0.4896 data_time: 0.0359 memory: 18104 grad_norm: 5.3365 loss: 2.8216 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6491 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.1725 2023/02/02 21:10:23 - mmengine - INFO - Epoch(train) [203][1200/1879] lr: 1.3591e-02 eta: 14:22:08 time: 0.4730 data_time: 0.0339 memory: 18104 grad_norm: 5.3475 loss: 2.7520 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5267 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.2253 2023/02/02 21:10:33 - mmengine - INFO - Epoch(train) [203][1220/1879] lr: 1.3586e-02 eta: 14:21:58 time: 0.5112 data_time: 0.0433 memory: 18104 grad_norm: 5.4527 loss: 2.8269 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.6408 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.1861 2023/02/02 21:10:43 - mmengine - INFO - Epoch(train) [203][1240/1879] lr: 1.3581e-02 eta: 14:21:47 time: 0.4995 data_time: 0.0360 memory: 18104 grad_norm: 5.4777 loss: 2.8647 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6528 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.2119 2023/02/02 21:10:53 - mmengine - INFO - Epoch(train) [203][1260/1879] lr: 1.3576e-02 eta: 14:21:36 time: 0.4960 data_time: 0.0367 memory: 18104 grad_norm: 5.3427 loss: 2.8969 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.6435 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.2534 2023/02/02 21:11:03 - mmengine - INFO - Epoch(train) [203][1280/1879] lr: 1.3571e-02 eta: 14:21:25 time: 0.5029 data_time: 0.0341 memory: 18104 grad_norm: 5.1511 loss: 2.8978 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6562 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.2416 2023/02/02 21:11:14 - mmengine - INFO - Epoch(train) [203][1300/1879] lr: 1.3565e-02 eta: 14:21:15 time: 0.5094 data_time: 0.0445 memory: 18104 grad_norm: 5.4611 loss: 3.1756 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8872 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.2884 2023/02/02 21:11:23 - mmengine - INFO - Epoch(train) [203][1320/1879] lr: 1.3560e-02 eta: 14:21:03 time: 0.4891 data_time: 0.0348 memory: 18104 grad_norm: 5.5805 loss: 3.0737 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8457 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.2280 2023/02/02 21:11:33 - mmengine - INFO - Epoch(train) [203][1340/1879] lr: 1.3555e-02 eta: 14:20:52 time: 0.4953 data_time: 0.0352 memory: 18104 grad_norm: 5.4679 loss: 2.8460 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6356 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.2104 2023/02/02 21:11:43 - mmengine - INFO - Epoch(train) [203][1360/1879] lr: 1.3550e-02 eta: 14:20:41 time: 0.4956 data_time: 0.0440 memory: 18104 grad_norm: 5.4393 loss: 2.9595 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7176 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.2419 2023/02/02 21:11:53 - mmengine - INFO - Epoch(train) [203][1380/1879] lr: 1.3545e-02 eta: 14:20:31 time: 0.5087 data_time: 0.0342 memory: 18104 grad_norm: 5.3921 loss: 3.1782 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.8298 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.3484 2023/02/02 21:12:03 - mmengine - INFO - Epoch(train) [203][1400/1879] lr: 1.3540e-02 eta: 14:20:19 time: 0.4883 data_time: 0.0340 memory: 18104 grad_norm: 5.3495 loss: 2.9669 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6655 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.3014 2023/02/02 21:12:13 - mmengine - INFO - Epoch(train) [203][1420/1879] lr: 1.3535e-02 eta: 14:20:09 time: 0.5117 data_time: 0.0357 memory: 18104 grad_norm: 5.1716 loss: 2.8123 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6322 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.1801 2023/02/02 21:12:23 - mmengine - INFO - Epoch(train) [203][1440/1879] lr: 1.3529e-02 eta: 14:19:58 time: 0.4990 data_time: 0.0410 memory: 18104 grad_norm: 5.2705 loss: 2.8338 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.5729 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.2609 2023/02/02 21:12:25 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 21:12:34 - mmengine - INFO - Epoch(train) [203][1460/1879] lr: 1.3524e-02 eta: 14:19:47 time: 0.5088 data_time: 0.0348 memory: 18104 grad_norm: 5.2832 loss: 3.0492 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7686 top1_acc_1: 0.5765 top5_acc_1: 0.8353 loss_cls_1: 1.2806 2023/02/02 21:12:44 - mmengine - INFO - Epoch(train) [203][1480/1879] lr: 1.3519e-02 eta: 14:19:36 time: 0.4935 data_time: 0.0352 memory: 18104 grad_norm: 5.4468 loss: 3.2219 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.9347 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.2871 2023/02/02 21:12:54 - mmengine - INFO - Epoch(train) [203][1500/1879] lr: 1.3514e-02 eta: 14:19:26 time: 0.5211 data_time: 0.0349 memory: 18104 grad_norm: 5.4241 loss: 2.7761 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.4281 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.3481 2023/02/02 21:13:04 - mmengine - INFO - Epoch(train) [203][1520/1879] lr: 1.3509e-02 eta: 14:19:15 time: 0.4941 data_time: 0.0344 memory: 18104 grad_norm: 5.4570 loss: 2.8032 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6817 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 1.1215 2023/02/02 21:13:14 - mmengine - INFO - Epoch(train) [203][1540/1879] lr: 1.3504e-02 eta: 14:19:04 time: 0.5040 data_time: 0.0350 memory: 18104 grad_norm: 5.3939 loss: 2.8821 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.6552 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.2269 2023/02/02 21:13:24 - mmengine - INFO - Epoch(train) [203][1560/1879] lr: 1.3498e-02 eta: 14:18:54 time: 0.5076 data_time: 0.0349 memory: 18104 grad_norm: 5.4297 loss: 3.1470 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8635 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.2835 2023/02/02 21:13:34 - mmengine - INFO - Epoch(train) [203][1580/1879] lr: 1.3493e-02 eta: 14:18:43 time: 0.5028 data_time: 0.0342 memory: 18104 grad_norm: 5.3700 loss: 3.1163 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8515 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.2647 2023/02/02 21:13:44 - mmengine - INFO - Epoch(train) [203][1600/1879] lr: 1.3488e-02 eta: 14:18:32 time: 0.4998 data_time: 0.0352 memory: 18104 grad_norm: 5.2165 loss: 2.9584 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.6781 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.2803 2023/02/02 21:13:54 - mmengine - INFO - Epoch(train) [203][1620/1879] lr: 1.3483e-02 eta: 14:18:22 time: 0.5050 data_time: 0.0324 memory: 18104 grad_norm: 5.2545 loss: 3.0531 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.7571 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.2960 2023/02/02 21:14:04 - mmengine - INFO - Epoch(train) [203][1640/1879] lr: 1.3478e-02 eta: 14:18:11 time: 0.5038 data_time: 0.0339 memory: 18104 grad_norm: 5.3172 loss: 3.0295 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8202 top1_acc_1: 0.8235 top5_acc_1: 0.8941 loss_cls_1: 1.2093 2023/02/02 21:14:15 - mmengine - INFO - Epoch(train) [203][1660/1879] lr: 1.3473e-02 eta: 14:18:00 time: 0.5019 data_time: 0.0337 memory: 18104 grad_norm: 5.3565 loss: 2.7587 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4915 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.2672 2023/02/02 21:14:25 - mmengine - INFO - Epoch(train) [203][1680/1879] lr: 1.3468e-02 eta: 14:17:50 time: 0.5137 data_time: 0.0353 memory: 18104 grad_norm: 5.3545 loss: 3.0436 top1_acc_0: 0.3125 top5_acc_0: 0.5625 loss_cls_0: 1.7858 top1_acc_1: 0.7294 top5_acc_1: 0.8353 loss_cls_1: 1.2578 2023/02/02 21:14:35 - mmengine - INFO - Epoch(train) [203][1700/1879] lr: 1.3462e-02 eta: 14:17:39 time: 0.5190 data_time: 0.0346 memory: 18104 grad_norm: 5.4177 loss: 2.9869 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.7592 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.2278 2023/02/02 21:14:45 - mmengine - INFO - Epoch(train) [203][1720/1879] lr: 1.3457e-02 eta: 14:17:28 time: 0.4945 data_time: 0.0340 memory: 18104 grad_norm: 5.3740 loss: 3.0050 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7488 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.2561 2023/02/02 21:14:55 - mmengine - INFO - Epoch(train) [203][1740/1879] lr: 1.3452e-02 eta: 14:17:17 time: 0.4970 data_time: 0.0342 memory: 18104 grad_norm: 5.2880 loss: 3.0238 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7907 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.2331 2023/02/02 21:15:05 - mmengine - INFO - Epoch(train) [203][1760/1879] lr: 1.3447e-02 eta: 14:17:07 time: 0.5029 data_time: 0.0343 memory: 18104 grad_norm: 5.3587 loss: 3.0234 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.7538 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2697 2023/02/02 21:15:15 - mmengine - INFO - Epoch(train) [203][1780/1879] lr: 1.3442e-02 eta: 14:16:56 time: 0.5060 data_time: 0.0339 memory: 18104 grad_norm: 5.4072 loss: 2.9366 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6924 top1_acc_1: 0.6588 top5_acc_1: 0.7765 loss_cls_1: 1.2441 2023/02/02 21:15:25 - mmengine - INFO - Epoch(train) [203][1800/1879] lr: 1.3437e-02 eta: 14:16:45 time: 0.4865 data_time: 0.0430 memory: 18104 grad_norm: 5.3663 loss: 2.9032 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6971 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.2061 2023/02/02 21:15:35 - mmengine - INFO - Epoch(train) [203][1820/1879] lr: 1.3432e-02 eta: 14:16:34 time: 0.5041 data_time: 0.0349 memory: 18104 grad_norm: 5.4044 loss: 2.9070 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7080 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.1991 2023/02/02 21:15:45 - mmengine - INFO - Epoch(train) [203][1840/1879] lr: 1.3427e-02 eta: 14:16:23 time: 0.4912 data_time: 0.0372 memory: 18104 grad_norm: 5.3696 loss: 2.9507 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.7422 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.2085 2023/02/02 21:15:55 - mmengine - INFO - Epoch(train) [203][1860/1879] lr: 1.3421e-02 eta: 14:16:12 time: 0.5046 data_time: 0.0330 memory: 18104 grad_norm: 5.2243 loss: 3.0084 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 1.8466 top1_acc_1: 0.7176 top5_acc_1: 0.8118 loss_cls_1: 1.1618 2023/02/02 21:16:04 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 21:16:04 - mmengine - INFO - Epoch(train) [203][1879/1879] lr: 1.3416e-02 eta: 14:16:01 time: 0.4800 data_time: 0.0369 memory: 18104 grad_norm: 5.4675 loss: 3.0000 top1_acc_0: 0.5714 top5_acc_0: 0.7143 loss_cls_0: 1.7561 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.2439 2023/02/02 21:16:19 - mmengine - INFO - Epoch(train) [204][ 20/1879] lr: 1.3411e-02 eta: 14:15:58 time: 0.7099 data_time: 0.2687 memory: 18104 grad_norm: 5.2076 loss: 2.6833 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4882 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.1951 2023/02/02 21:16:29 - mmengine - INFO - Epoch(train) [204][ 40/1879] lr: 1.3406e-02 eta: 14:15:46 time: 0.4739 data_time: 0.0308 memory: 18104 grad_norm: 5.2768 loss: 3.0002 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7668 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.2334 2023/02/02 21:16:38 - mmengine - INFO - Epoch(train) [204][ 60/1879] lr: 1.3401e-02 eta: 14:15:34 time: 0.4809 data_time: 0.0378 memory: 18104 grad_norm: 5.2392 loss: 3.0050 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7821 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.2229 2023/02/02 21:16:49 - mmengine - INFO - Epoch(train) [204][ 80/1879] lr: 1.3396e-02 eta: 14:15:25 time: 0.5387 data_time: 0.0420 memory: 18104 grad_norm: 5.3090 loss: 2.7744 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5538 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.2206 2023/02/02 21:16:59 - mmengine - INFO - Epoch(train) [204][ 100/1879] lr: 1.3391e-02 eta: 14:15:14 time: 0.4880 data_time: 0.0391 memory: 18104 grad_norm: 5.3857 loss: 3.0910 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8437 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.2473 2023/02/02 21:17:09 - mmengine - INFO - Epoch(train) [204][ 120/1879] lr: 1.3386e-02 eta: 14:15:02 time: 0.4827 data_time: 0.0307 memory: 18104 grad_norm: 5.4127 loss: 2.8862 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.6888 top1_acc_1: 0.6941 top5_acc_1: 0.9529 loss_cls_1: 1.1973 2023/02/02 21:17:19 - mmengine - INFO - Epoch(train) [204][ 140/1879] lr: 1.3381e-02 eta: 14:14:52 time: 0.5128 data_time: 0.0465 memory: 18104 grad_norm: 5.3979 loss: 3.2745 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 2.0108 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.2637 2023/02/02 21:17:29 - mmengine - INFO - Epoch(train) [204][ 160/1879] lr: 1.3375e-02 eta: 14:14:41 time: 0.4999 data_time: 0.0319 memory: 18104 grad_norm: 5.3233 loss: 2.9938 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7852 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.2086 2023/02/02 21:17:39 - mmengine - INFO - Epoch(train) [204][ 180/1879] lr: 1.3370e-02 eta: 14:14:30 time: 0.4982 data_time: 0.0365 memory: 18104 grad_norm: 5.4372 loss: 2.8550 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6663 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.1888 2023/02/02 21:17:49 - mmengine - INFO - Epoch(train) [204][ 200/1879] lr: 1.3365e-02 eta: 14:14:20 time: 0.5245 data_time: 0.0342 memory: 18104 grad_norm: 5.4031 loss: 3.0726 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7922 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 1.2804 2023/02/02 21:18:00 - mmengine - INFO - Epoch(train) [204][ 220/1879] lr: 1.3360e-02 eta: 14:14:10 time: 0.5382 data_time: 0.0311 memory: 18104 grad_norm: 5.3515 loss: 2.6421 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.4242 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 1.2179 2023/02/02 21:18:11 - mmengine - INFO - Epoch(train) [204][ 240/1879] lr: 1.3355e-02 eta: 14:14:00 time: 0.5120 data_time: 0.0342 memory: 18104 grad_norm: 5.4398 loss: 2.8024 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6189 top1_acc_1: 0.7412 top5_acc_1: 0.9647 loss_cls_1: 1.1835 2023/02/02 21:18:21 - mmengine - INFO - Epoch(train) [204][ 260/1879] lr: 1.3350e-02 eta: 14:13:49 time: 0.5138 data_time: 0.0321 memory: 18104 grad_norm: 5.4575 loss: 3.0725 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8361 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.2364 2023/02/02 21:18:32 - mmengine - INFO - Epoch(train) [204][ 280/1879] lr: 1.3345e-02 eta: 14:13:40 time: 0.5405 data_time: 0.0412 memory: 18104 grad_norm: 5.4744 loss: 2.9014 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6380 top1_acc_1: 0.6471 top5_acc_1: 0.7765 loss_cls_1: 1.2634 2023/02/02 21:18:42 - mmengine - INFO - Epoch(train) [204][ 300/1879] lr: 1.3340e-02 eta: 14:13:30 time: 0.5181 data_time: 0.0314 memory: 18104 grad_norm: 5.1788 loss: 2.8388 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6022 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.2366 2023/02/02 21:18:52 - mmengine - INFO - Epoch(train) [204][ 320/1879] lr: 1.3334e-02 eta: 14:13:20 time: 0.5185 data_time: 0.0400 memory: 18104 grad_norm: 5.3811 loss: 3.1258 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.8627 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.2630 2023/02/02 21:19:03 - mmengine - INFO - Epoch(train) [204][ 340/1879] lr: 1.3329e-02 eta: 14:13:10 time: 0.5259 data_time: 0.0273 memory: 18104 grad_norm: 5.3938 loss: 2.9299 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7467 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.1832 2023/02/02 21:19:13 - mmengine - INFO - Epoch(train) [204][ 360/1879] lr: 1.3324e-02 eta: 14:13:00 time: 0.5253 data_time: 0.0369 memory: 18104 grad_norm: 5.3688 loss: 2.8530 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6238 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.2292 2023/02/02 21:19:24 - mmengine - INFO - Epoch(train) [204][ 380/1879] lr: 1.3319e-02 eta: 14:12:49 time: 0.5140 data_time: 0.0280 memory: 18104 grad_norm: 5.1596 loss: 2.8094 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.5848 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2246 2023/02/02 21:19:34 - mmengine - INFO - Epoch(train) [204][ 400/1879] lr: 1.3314e-02 eta: 14:12:39 time: 0.5303 data_time: 0.0366 memory: 18104 grad_norm: 5.3793 loss: 2.9071 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.6861 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.2210 2023/02/02 21:19:45 - mmengine - INFO - Epoch(train) [204][ 420/1879] lr: 1.3309e-02 eta: 14:12:29 time: 0.5214 data_time: 0.0346 memory: 18104 grad_norm: 5.2937 loss: 2.7217 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.4827 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2390 2023/02/02 21:19:55 - mmengine - INFO - Epoch(train) [204][ 440/1879] lr: 1.3304e-02 eta: 14:12:19 time: 0.5149 data_time: 0.0382 memory: 18104 grad_norm: 5.1940 loss: 2.9496 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7211 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.2285 2023/02/02 21:20:05 - mmengine - INFO - Epoch(train) [204][ 460/1879] lr: 1.3299e-02 eta: 14:12:08 time: 0.5024 data_time: 0.0302 memory: 18104 grad_norm: 5.4992 loss: 2.8996 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6850 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.2146 2023/02/02 21:20:16 - mmengine - INFO - Epoch(train) [204][ 480/1879] lr: 1.3294e-02 eta: 14:11:59 time: 0.5364 data_time: 0.0443 memory: 18104 grad_norm: 5.4169 loss: 2.8244 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6493 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.1751 2023/02/02 21:20:26 - mmengine - INFO - Epoch(train) [204][ 500/1879] lr: 1.3288e-02 eta: 14:11:48 time: 0.5209 data_time: 0.0313 memory: 18104 grad_norm: 5.4317 loss: 3.0605 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.8705 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 1.1900 2023/02/02 21:20:37 - mmengine - INFO - Epoch(train) [204][ 520/1879] lr: 1.3283e-02 eta: 14:11:38 time: 0.5058 data_time: 0.0369 memory: 18104 grad_norm: 5.2786 loss: 3.0072 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7335 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.2737 2023/02/02 21:20:47 - mmengine - INFO - Epoch(train) [204][ 540/1879] lr: 1.3278e-02 eta: 14:11:28 time: 0.5186 data_time: 0.0297 memory: 18104 grad_norm: 5.3346 loss: 2.8912 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.6795 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.2116 2023/02/02 21:20:57 - mmengine - INFO - Epoch(train) [204][ 560/1879] lr: 1.3273e-02 eta: 14:11:17 time: 0.5122 data_time: 0.0442 memory: 18104 grad_norm: 5.4035 loss: 2.9287 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7095 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.2192 2023/02/02 21:20:59 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 21:21:07 - mmengine - INFO - Epoch(train) [204][ 580/1879] lr: 1.3268e-02 eta: 14:11:06 time: 0.5021 data_time: 0.0298 memory: 18104 grad_norm: 5.4681 loss: 2.9756 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.7369 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.2387 2023/02/02 21:21:18 - mmengine - INFO - Epoch(train) [204][ 600/1879] lr: 1.3263e-02 eta: 14:10:56 time: 0.5151 data_time: 0.0379 memory: 18104 grad_norm: 5.4924 loss: 2.8195 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 1.6708 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.1487 2023/02/02 21:21:28 - mmengine - INFO - Epoch(train) [204][ 620/1879] lr: 1.3258e-02 eta: 14:10:45 time: 0.5087 data_time: 0.0362 memory: 18104 grad_norm: 5.3078 loss: 2.7946 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5354 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2591 2023/02/02 21:21:38 - mmengine - INFO - Epoch(train) [204][ 640/1879] lr: 1.3253e-02 eta: 14:10:35 time: 0.5173 data_time: 0.0388 memory: 18104 grad_norm: 5.4219 loss: 2.8180 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.6238 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.1943 2023/02/02 21:21:48 - mmengine - INFO - Epoch(train) [204][ 660/1879] lr: 1.3248e-02 eta: 14:10:25 time: 0.5103 data_time: 0.0303 memory: 18104 grad_norm: 5.3804 loss: 2.8211 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6292 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.1919 2023/02/02 21:21:59 - mmengine - INFO - Epoch(train) [204][ 680/1879] lr: 1.3242e-02 eta: 14:10:14 time: 0.5161 data_time: 0.0376 memory: 18104 grad_norm: 5.3225 loss: 2.9475 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.6944 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.2530 2023/02/02 21:22:09 - mmengine - INFO - Epoch(train) [204][ 700/1879] lr: 1.3237e-02 eta: 14:10:04 time: 0.5012 data_time: 0.0397 memory: 18104 grad_norm: 5.5141 loss: 3.1926 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9352 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.2574 2023/02/02 21:22:19 - mmengine - INFO - Epoch(train) [204][ 720/1879] lr: 1.3232e-02 eta: 14:09:53 time: 0.5126 data_time: 0.0375 memory: 18104 grad_norm: 5.4012 loss: 3.1281 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8724 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.2557 2023/02/02 21:22:29 - mmengine - INFO - Epoch(train) [204][ 740/1879] lr: 1.3227e-02 eta: 14:09:43 time: 0.5082 data_time: 0.0300 memory: 18104 grad_norm: 5.3594 loss: 2.8184 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7042 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.1142 2023/02/02 21:22:40 - mmengine - INFO - Epoch(train) [204][ 760/1879] lr: 1.3222e-02 eta: 14:09:32 time: 0.5118 data_time: 0.0440 memory: 18104 grad_norm: 5.5087 loss: 2.9008 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6939 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.2069 2023/02/02 21:22:50 - mmengine - INFO - Epoch(train) [204][ 780/1879] lr: 1.3217e-02 eta: 14:09:22 time: 0.5081 data_time: 0.0305 memory: 18104 grad_norm: 5.4149 loss: 2.9974 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.8736 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.1239 2023/02/02 21:23:00 - mmengine - INFO - Epoch(train) [204][ 800/1879] lr: 1.3212e-02 eta: 14:09:11 time: 0.5168 data_time: 0.0402 memory: 18104 grad_norm: 5.3618 loss: 3.1192 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.8725 top1_acc_1: 0.8000 top5_acc_1: 0.8588 loss_cls_1: 1.2467 2023/02/02 21:23:10 - mmengine - INFO - Epoch(train) [204][ 820/1879] lr: 1.3207e-02 eta: 14:09:00 time: 0.5029 data_time: 0.0319 memory: 18104 grad_norm: 5.3969 loss: 2.8052 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.6052 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.2000 2023/02/02 21:23:20 - mmengine - INFO - Epoch(train) [204][ 840/1879] lr: 1.3202e-02 eta: 14:08:50 time: 0.5109 data_time: 0.0457 memory: 18104 grad_norm: 5.3816 loss: 2.9621 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6770 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.2852 2023/02/02 21:23:31 - mmengine - INFO - Epoch(train) [204][ 860/1879] lr: 1.3197e-02 eta: 14:08:39 time: 0.5078 data_time: 0.0311 memory: 18104 grad_norm: 5.5208 loss: 3.0424 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 1.7898 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.2526 2023/02/02 21:23:41 - mmengine - INFO - Epoch(train) [204][ 880/1879] lr: 1.3191e-02 eta: 14:08:29 time: 0.5128 data_time: 0.0387 memory: 18104 grad_norm: 5.4515 loss: 3.1589 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.9069 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.2521 2023/02/02 21:23:51 - mmengine - INFO - Epoch(train) [204][ 900/1879] lr: 1.3186e-02 eta: 14:08:18 time: 0.5064 data_time: 0.0299 memory: 18104 grad_norm: 5.2802 loss: 3.0661 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8591 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.2070 2023/02/02 21:24:01 - mmengine - INFO - Epoch(train) [204][ 920/1879] lr: 1.3181e-02 eta: 14:08:08 time: 0.5211 data_time: 0.0385 memory: 18104 grad_norm: 5.4186 loss: 2.9319 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7338 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.1982 2023/02/02 21:24:12 - mmengine - INFO - Epoch(train) [204][ 940/1879] lr: 1.3176e-02 eta: 14:07:58 time: 0.5043 data_time: 0.0284 memory: 18104 grad_norm: 5.4092 loss: 2.8673 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.6246 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.2427 2023/02/02 21:24:22 - mmengine - INFO - Epoch(train) [204][ 960/1879] lr: 1.3171e-02 eta: 14:07:47 time: 0.5096 data_time: 0.0425 memory: 18104 grad_norm: 5.5324 loss: 2.8931 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.6583 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.2348 2023/02/02 21:24:32 - mmengine - INFO - Epoch(train) [204][ 980/1879] lr: 1.3166e-02 eta: 14:07:36 time: 0.4960 data_time: 0.0305 memory: 18104 grad_norm: 5.3339 loss: 3.0558 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8471 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.2087 2023/02/02 21:24:42 - mmengine - INFO - Epoch(train) [204][1000/1879] lr: 1.3161e-02 eta: 14:07:26 time: 0.5307 data_time: 0.0362 memory: 18104 grad_norm: 5.4029 loss: 2.9190 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6175 top1_acc_1: 0.7412 top5_acc_1: 0.8235 loss_cls_1: 1.3015 2023/02/02 21:24:53 - mmengine - INFO - Epoch(train) [204][1020/1879] lr: 1.3156e-02 eta: 14:07:16 time: 0.5140 data_time: 0.0302 memory: 18104 grad_norm: 5.4657 loss: 3.1845 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9632 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.2213 2023/02/02 21:25:03 - mmengine - INFO - Epoch(train) [204][1040/1879] lr: 1.3151e-02 eta: 14:07:05 time: 0.5082 data_time: 0.0453 memory: 18104 grad_norm: 5.2887 loss: 2.8555 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.6203 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.2352 2023/02/02 21:25:13 - mmengine - INFO - Epoch(train) [204][1060/1879] lr: 1.3146e-02 eta: 14:06:55 time: 0.5232 data_time: 0.0294 memory: 18104 grad_norm: 5.3546 loss: 3.0210 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.7339 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.2870 2023/02/02 21:25:24 - mmengine - INFO - Epoch(train) [204][1080/1879] lr: 1.3140e-02 eta: 14:06:45 time: 0.5271 data_time: 0.0382 memory: 18104 grad_norm: 5.4767 loss: 2.9295 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.6792 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.2503 2023/02/02 21:25:34 - mmengine - INFO - Epoch(train) [204][1100/1879] lr: 1.3135e-02 eta: 14:06:35 time: 0.5023 data_time: 0.0293 memory: 18104 grad_norm: 5.5116 loss: 2.7667 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5368 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.2299 2023/02/02 21:25:45 - mmengine - INFO - Epoch(train) [204][1120/1879] lr: 1.3130e-02 eta: 14:06:25 time: 0.5337 data_time: 0.0363 memory: 18104 grad_norm: 5.5151 loss: 3.0807 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.8621 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 1.2186 2023/02/02 21:25:55 - mmengine - INFO - Epoch(train) [204][1140/1879] lr: 1.3125e-02 eta: 14:06:15 time: 0.5213 data_time: 0.0294 memory: 18104 grad_norm: 5.4877 loss: 3.0159 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8231 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.1928 2023/02/02 21:26:05 - mmengine - INFO - Epoch(train) [204][1160/1879] lr: 1.3120e-02 eta: 14:06:04 time: 0.5050 data_time: 0.0371 memory: 18104 grad_norm: 5.4187 loss: 2.8558 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6012 top1_acc_1: 0.7647 top5_acc_1: 0.8353 loss_cls_1: 1.2546 2023/02/02 21:26:16 - mmengine - INFO - Epoch(train) [204][1180/1879] lr: 1.3115e-02 eta: 14:05:54 time: 0.5278 data_time: 0.0377 memory: 18104 grad_norm: 5.5066 loss: 2.7752 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6604 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.1148 2023/02/02 21:26:26 - mmengine - INFO - Epoch(train) [204][1200/1879] lr: 1.3110e-02 eta: 14:05:44 time: 0.5190 data_time: 0.0365 memory: 18104 grad_norm: 5.3394 loss: 3.0528 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.8089 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.2439 2023/02/02 21:26:37 - mmengine - INFO - Epoch(train) [204][1220/1879] lr: 1.3105e-02 eta: 14:05:34 time: 0.5153 data_time: 0.0307 memory: 18104 grad_norm: 5.4174 loss: 2.7807 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.5820 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.1987 2023/02/02 21:26:47 - mmengine - INFO - Epoch(train) [204][1240/1879] lr: 1.3100e-02 eta: 14:05:24 time: 0.5277 data_time: 0.0451 memory: 18104 grad_norm: 5.4586 loss: 3.1211 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9549 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.1661 2023/02/02 21:26:57 - mmengine - INFO - Epoch(train) [204][1260/1879] lr: 1.3095e-02 eta: 14:05:13 time: 0.5112 data_time: 0.0298 memory: 18104 grad_norm: 5.3389 loss: 2.8376 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6278 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.2097 2023/02/02 21:27:08 - mmengine - INFO - Epoch(train) [204][1280/1879] lr: 1.3090e-02 eta: 14:05:03 time: 0.5127 data_time: 0.0370 memory: 18104 grad_norm: 5.2838 loss: 3.1112 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8469 top1_acc_1: 0.6941 top5_acc_1: 0.8118 loss_cls_1: 1.2644 2023/02/02 21:27:18 - mmengine - INFO - Epoch(train) [204][1300/1879] lr: 1.3085e-02 eta: 14:04:52 time: 0.4993 data_time: 0.0317 memory: 18104 grad_norm: 5.3609 loss: 3.0041 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6613 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.3428 2023/02/02 21:27:28 - mmengine - INFO - Epoch(train) [204][1320/1879] lr: 1.3079e-02 eta: 14:04:42 time: 0.5316 data_time: 0.0422 memory: 18104 grad_norm: 5.3921 loss: 2.8570 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6750 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.1820 2023/02/02 21:27:38 - mmengine - INFO - Epoch(train) [204][1340/1879] lr: 1.3074e-02 eta: 14:04:31 time: 0.5008 data_time: 0.0307 memory: 18104 grad_norm: 5.2944 loss: 2.6952 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4128 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.2824 2023/02/02 21:27:49 - mmengine - INFO - Epoch(train) [204][1360/1879] lr: 1.3069e-02 eta: 14:04:21 time: 0.5080 data_time: 0.0372 memory: 18104 grad_norm: 5.4205 loss: 2.9051 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 1.5769 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.3281 2023/02/02 21:27:59 - mmengine - INFO - Epoch(train) [204][1380/1879] lr: 1.3064e-02 eta: 14:04:10 time: 0.5098 data_time: 0.0379 memory: 18104 grad_norm: 5.4559 loss: 2.9297 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.6934 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.2363 2023/02/02 21:28:09 - mmengine - INFO - Epoch(train) [204][1400/1879] lr: 1.3059e-02 eta: 14:04:00 time: 0.5243 data_time: 0.0374 memory: 18104 grad_norm: 5.3873 loss: 2.8758 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6182 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.2576 2023/02/02 21:28:19 - mmengine - INFO - Epoch(train) [204][1420/1879] lr: 1.3054e-02 eta: 14:03:50 time: 0.5084 data_time: 0.0312 memory: 18104 grad_norm: 5.4744 loss: 2.9815 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7637 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.2177 2023/02/02 21:28:30 - mmengine - INFO - Epoch(train) [204][1440/1879] lr: 1.3049e-02 eta: 14:03:40 time: 0.5231 data_time: 0.0368 memory: 18104 grad_norm: 5.2711 loss: 2.9411 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.6985 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.2426 2023/02/02 21:28:40 - mmengine - INFO - Epoch(train) [204][1460/1879] lr: 1.3044e-02 eta: 14:03:29 time: 0.5206 data_time: 0.0382 memory: 18104 grad_norm: 5.3622 loss: 2.7759 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.6138 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.1621 2023/02/02 21:28:51 - mmengine - INFO - Epoch(train) [204][1480/1879] lr: 1.3039e-02 eta: 14:03:19 time: 0.5215 data_time: 0.0374 memory: 18104 grad_norm: 5.4060 loss: 2.9695 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 1.7517 top1_acc_1: 0.7765 top5_acc_1: 0.8706 loss_cls_1: 1.2179 2023/02/02 21:29:01 - mmengine - INFO - Epoch(train) [204][1500/1879] lr: 1.3034e-02 eta: 14:03:09 time: 0.5326 data_time: 0.0330 memory: 18104 grad_norm: 5.3688 loss: 3.1132 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.8066 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.3066 2023/02/02 21:29:12 - mmengine - INFO - Epoch(train) [204][1520/1879] lr: 1.3029e-02 eta: 14:03:00 time: 0.5284 data_time: 0.0419 memory: 18104 grad_norm: 5.3776 loss: 2.8055 top1_acc_0: 0.5000 top5_acc_0: 1.0000 loss_cls_0: 1.5945 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.2110 2023/02/02 21:29:22 - mmengine - INFO - Epoch(train) [204][1540/1879] lr: 1.3024e-02 eta: 14:02:49 time: 0.5122 data_time: 0.0315 memory: 18104 grad_norm: 5.3534 loss: 3.0838 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7787 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.3051 2023/02/02 21:29:33 - mmengine - INFO - Epoch(train) [204][1560/1879] lr: 1.3019e-02 eta: 14:02:39 time: 0.5235 data_time: 0.0372 memory: 18104 grad_norm: 5.4070 loss: 3.0903 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8739 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.2164 2023/02/02 21:29:34 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 21:29:43 - mmengine - INFO - Epoch(train) [204][1580/1879] lr: 1.3014e-02 eta: 14:02:29 time: 0.5124 data_time: 0.0302 memory: 18104 grad_norm: 5.3748 loss: 3.0981 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 1.7972 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.3009 2023/02/02 21:29:53 - mmengine - INFO - Epoch(train) [204][1600/1879] lr: 1.3008e-02 eta: 14:02:18 time: 0.5177 data_time: 0.0390 memory: 18104 grad_norm: 5.4421 loss: 3.1534 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8123 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.3412 2023/02/02 21:30:04 - mmengine - INFO - Epoch(train) [204][1620/1879] lr: 1.3003e-02 eta: 14:02:08 time: 0.5127 data_time: 0.0314 memory: 18104 grad_norm: 5.2939 loss: 2.7851 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.5264 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.2587 2023/02/02 21:30:14 - mmengine - INFO - Epoch(train) [204][1640/1879] lr: 1.2998e-02 eta: 14:01:58 time: 0.5204 data_time: 0.0360 memory: 18104 grad_norm: 5.4394 loss: 3.1997 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8989 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.3008 2023/02/02 21:30:24 - mmengine - INFO - Epoch(train) [204][1660/1879] lr: 1.2993e-02 eta: 14:01:47 time: 0.5129 data_time: 0.0380 memory: 18104 grad_norm: 5.3790 loss: 2.8323 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.5971 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.2352 2023/02/02 21:30:35 - mmengine - INFO - Epoch(train) [204][1680/1879] lr: 1.2988e-02 eta: 14:01:37 time: 0.5176 data_time: 0.0384 memory: 18104 grad_norm: 5.4405 loss: 2.8616 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6027 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.2589 2023/02/02 21:30:45 - mmengine - INFO - Epoch(train) [204][1700/1879] lr: 1.2983e-02 eta: 14:01:27 time: 0.5071 data_time: 0.0309 memory: 18104 grad_norm: 5.5645 loss: 2.8397 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.6688 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.1709 2023/02/02 21:30:56 - mmengine - INFO - Epoch(train) [204][1720/1879] lr: 1.2978e-02 eta: 14:01:17 time: 0.5254 data_time: 0.0368 memory: 18104 grad_norm: 5.3988 loss: 3.0137 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.7874 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.2264 2023/02/02 21:31:06 - mmengine - INFO - Epoch(train) [204][1740/1879] lr: 1.2973e-02 eta: 14:01:06 time: 0.5151 data_time: 0.0369 memory: 18104 grad_norm: 5.4312 loss: 2.8909 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.6796 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.2113 2023/02/02 21:31:16 - mmengine - INFO - Epoch(train) [204][1760/1879] lr: 1.2968e-02 eta: 14:00:56 time: 0.5240 data_time: 0.0393 memory: 18104 grad_norm: 5.3839 loss: 2.9418 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.6666 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.2752 2023/02/02 21:31:27 - mmengine - INFO - Epoch(train) [204][1780/1879] lr: 1.2963e-02 eta: 14:00:46 time: 0.5101 data_time: 0.0315 memory: 18104 grad_norm: 5.4445 loss: 2.8950 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.6265 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.2685 2023/02/02 21:31:37 - mmengine - INFO - Epoch(train) [204][1800/1879] lr: 1.2958e-02 eta: 14:00:35 time: 0.5163 data_time: 0.0507 memory: 18104 grad_norm: 5.5813 loss: 3.1853 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9415 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.2439 2023/02/02 21:31:47 - mmengine - INFO - Epoch(train) [204][1820/1879] lr: 1.2953e-02 eta: 14:00:25 time: 0.5124 data_time: 0.0332 memory: 18104 grad_norm: 5.4140 loss: 2.9433 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6693 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.2741 2023/02/02 21:31:58 - mmengine - INFO - Epoch(train) [204][1840/1879] lr: 1.2948e-02 eta: 14:00:15 time: 0.5176 data_time: 0.0362 memory: 18104 grad_norm: 5.3171 loss: 2.9225 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.6558 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.2667 2023/02/02 21:32:08 - mmengine - INFO - Epoch(train) [204][1860/1879] lr: 1.2943e-02 eta: 14:00:04 time: 0.5010 data_time: 0.0312 memory: 18104 grad_norm: 5.3982 loss: 2.6759 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.5040 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 1.1719 2023/02/02 21:32:17 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 21:32:17 - mmengine - INFO - Epoch(train) [204][1879/1879] lr: 1.2938e-02 eta: 13:59:54 time: 0.5018 data_time: 0.0404 memory: 18104 grad_norm: 5.4644 loss: 2.8065 top1_acc_0: 0.7143 top5_acc_0: 1.0000 loss_cls_0: 1.6241 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.1824 2023/02/02 21:32:18 - mmengine - INFO - Saving checkpoint at 204 epochs 2023/02/02 21:32:29 - mmengine - INFO - Epoch(val) [204][ 20/155] eta: 0:01:02 time: 0.4594 data_time: 0.3476 memory: 1900 2023/02/02 21:32:37 - mmengine - INFO - Epoch(val) [204][ 40/155] eta: 0:00:51 time: 0.4436 data_time: 0.3321 memory: 1900 2023/02/02 21:32:46 - mmengine - INFO - Epoch(val) [204][ 60/155] eta: 0:00:42 time: 0.4344 data_time: 0.3229 memory: 1900 2023/02/02 21:32:55 - mmengine - INFO - Epoch(val) [204][ 80/155] eta: 0:00:33 time: 0.4606 data_time: 0.3477 memory: 1900 2023/02/02 21:33:04 - mmengine - INFO - Epoch(val) [204][100/155] eta: 0:00:24 time: 0.4465 data_time: 0.3349 memory: 1900 2023/02/02 21:33:13 - mmengine - INFO - Epoch(val) [204][120/155] eta: 0:00:15 time: 0.4430 data_time: 0.3313 memory: 1900 2023/02/02 21:33:22 - mmengine - INFO - Epoch(val) [204][140/155] eta: 0:00:06 time: 0.4452 data_time: 0.3326 memory: 1900 2023/02/02 21:33:30 - mmengine - INFO - Epoch(val) [204][155/155] acc/top1: 0.6322 acc/top5: 0.8483 acc/mean1: 0.6320 2023/02/02 21:33:30 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_192.pth is removed 2023/02/02 21:33:32 - mmengine - INFO - The best checkpoint with 0.6322 acc/top1 at 204 epoch is saved to best_acc/top1_epoch_204.pth. 2023/02/02 21:33:46 - mmengine - INFO - Epoch(train) [205][ 20/1879] lr: 1.2933e-02 eta: 13:59:50 time: 0.7056 data_time: 0.2439 memory: 18104 grad_norm: 5.2737 loss: 2.8888 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.7015 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.1873 2023/02/02 21:33:55 - mmengine - INFO - Epoch(train) [205][ 40/1879] lr: 1.2928e-02 eta: 13:59:38 time: 0.4796 data_time: 0.0332 memory: 18104 grad_norm: 5.3477 loss: 2.7370 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5644 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.1726 2023/02/02 21:34:05 - mmengine - INFO - Epoch(train) [205][ 60/1879] lr: 1.2923e-02 eta: 13:59:27 time: 0.4994 data_time: 0.0398 memory: 18104 grad_norm: 5.4229 loss: 2.8049 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5812 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.2237 2023/02/02 21:34:16 - mmengine - INFO - Epoch(train) [205][ 80/1879] lr: 1.2918e-02 eta: 13:59:18 time: 0.5371 data_time: 0.0511 memory: 18104 grad_norm: 5.4277 loss: 3.1023 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8745 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.2278 2023/02/02 21:34:26 - mmengine - INFO - Epoch(train) [205][ 100/1879] lr: 1.2913e-02 eta: 13:59:07 time: 0.5068 data_time: 0.0395 memory: 18104 grad_norm: 5.5326 loss: 3.0110 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.8033 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.2076 2023/02/02 21:34:36 - mmengine - INFO - Epoch(train) [205][ 120/1879] lr: 1.2908e-02 eta: 13:58:55 time: 0.4804 data_time: 0.0308 memory: 18104 grad_norm: 5.3665 loss: 3.0466 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8705 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.1760 2023/02/02 21:34:47 - mmengine - INFO - Epoch(train) [205][ 140/1879] lr: 1.2902e-02 eta: 13:58:46 time: 0.5380 data_time: 0.0459 memory: 18104 grad_norm: 5.2896 loss: 2.8570 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6681 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.1889 2023/02/02 21:34:56 - mmengine - INFO - Epoch(train) [205][ 160/1879] lr: 1.2897e-02 eta: 13:58:35 time: 0.4857 data_time: 0.0330 memory: 18104 grad_norm: 5.3072 loss: 2.9046 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.6051 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.2995 2023/02/02 21:35:07 - mmengine - INFO - Epoch(train) [205][ 180/1879] lr: 1.2892e-02 eta: 13:58:24 time: 0.5024 data_time: 0.0371 memory: 18104 grad_norm: 5.4350 loss: 2.8469 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6399 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.2070 2023/02/02 21:35:16 - mmengine - INFO - Epoch(train) [205][ 200/1879] lr: 1.2887e-02 eta: 13:58:13 time: 0.4875 data_time: 0.0326 memory: 18104 grad_norm: 5.4703 loss: 3.1256 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.8466 top1_acc_1: 0.7647 top5_acc_1: 0.8588 loss_cls_1: 1.2790 2023/02/02 21:35:27 - mmengine - INFO - Epoch(train) [205][ 220/1879] lr: 1.2882e-02 eta: 13:58:02 time: 0.5151 data_time: 0.0454 memory: 18104 grad_norm: 5.3888 loss: 2.9424 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6759 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.2665 2023/02/02 21:35:36 - mmengine - INFO - Epoch(train) [205][ 240/1879] lr: 1.2877e-02 eta: 13:57:51 time: 0.4801 data_time: 0.0320 memory: 18104 grad_norm: 5.2387 loss: 2.8131 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.6655 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.1476 2023/02/02 21:35:46 - mmengine - INFO - Epoch(train) [205][ 260/1879] lr: 1.2872e-02 eta: 13:57:40 time: 0.4979 data_time: 0.0382 memory: 18104 grad_norm: 5.3153 loss: 2.8882 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7298 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.1584 2023/02/02 21:35:56 - mmengine - INFO - Epoch(train) [205][ 280/1879] lr: 1.2867e-02 eta: 13:57:29 time: 0.4890 data_time: 0.0314 memory: 18104 grad_norm: 5.3235 loss: 2.8634 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.6425 top1_acc_1: 0.6118 top5_acc_1: 0.8471 loss_cls_1: 1.2210 2023/02/02 21:36:06 - mmengine - INFO - Epoch(train) [205][ 300/1879] lr: 1.2862e-02 eta: 13:57:19 time: 0.5202 data_time: 0.0465 memory: 18104 grad_norm: 5.5751 loss: 3.0571 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.8575 top1_acc_1: 0.8235 top5_acc_1: 0.9059 loss_cls_1: 1.1995 2023/02/02 21:36:16 - mmengine - INFO - Epoch(train) [205][ 320/1879] lr: 1.2857e-02 eta: 13:57:07 time: 0.4826 data_time: 0.0308 memory: 18104 grad_norm: 5.4854 loss: 2.8180 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.5234 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.2947 2023/02/02 21:36:26 - mmengine - INFO - Epoch(train) [205][ 340/1879] lr: 1.2852e-02 eta: 13:56:57 time: 0.5064 data_time: 0.0368 memory: 18104 grad_norm: 5.4277 loss: 3.0405 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.8530 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.1875 2023/02/02 21:36:36 - mmengine - INFO - Epoch(train) [205][ 360/1879] lr: 1.2847e-02 eta: 13:56:46 time: 0.5050 data_time: 0.0293 memory: 18104 grad_norm: 5.5281 loss: 2.9367 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7492 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.1875 2023/02/02 21:36:47 - mmengine - INFO - Epoch(train) [205][ 380/1879] lr: 1.2842e-02 eta: 13:56:35 time: 0.5050 data_time: 0.0376 memory: 18104 grad_norm: 5.4744 loss: 2.9263 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6992 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.2271 2023/02/02 21:36:57 - mmengine - INFO - Epoch(train) [205][ 400/1879] lr: 1.2837e-02 eta: 13:56:24 time: 0.4988 data_time: 0.0309 memory: 18104 grad_norm: 5.3370 loss: 2.8658 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.6426 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.2232 2023/02/02 21:37:07 - mmengine - INFO - Epoch(train) [205][ 420/1879] lr: 1.2832e-02 eta: 13:56:14 time: 0.5039 data_time: 0.0385 memory: 18104 grad_norm: 5.3487 loss: 2.7664 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.5793 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.1871 2023/02/02 21:37:17 - mmengine - INFO - Epoch(train) [205][ 440/1879] lr: 1.2827e-02 eta: 13:56:03 time: 0.5019 data_time: 0.0313 memory: 18104 grad_norm: 5.5870 loss: 3.1237 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.9077 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.2160 2023/02/02 21:37:27 - mmengine - INFO - Epoch(train) [205][ 460/1879] lr: 1.2822e-02 eta: 13:55:52 time: 0.5073 data_time: 0.0377 memory: 18104 grad_norm: 5.4438 loss: 2.9834 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 1.7714 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 1.2119 2023/02/02 21:37:37 - mmengine - INFO - Epoch(train) [205][ 480/1879] lr: 1.2817e-02 eta: 13:55:41 time: 0.4878 data_time: 0.0307 memory: 18104 grad_norm: 5.3746 loss: 2.7711 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6022 top1_acc_1: 0.7529 top5_acc_1: 0.8353 loss_cls_1: 1.1689 2023/02/02 21:37:47 - mmengine - INFO - Epoch(train) [205][ 500/1879] lr: 1.2812e-02 eta: 13:55:31 time: 0.5121 data_time: 0.0382 memory: 18104 grad_norm: 5.4003 loss: 2.8939 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7258 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.1681 2023/02/02 21:37:57 - mmengine - INFO - Epoch(train) [205][ 520/1879] lr: 1.2807e-02 eta: 13:55:20 time: 0.4958 data_time: 0.0311 memory: 18104 grad_norm: 5.4311 loss: 2.8085 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6285 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.1800 2023/02/02 21:38:07 - mmengine - INFO - Epoch(train) [205][ 540/1879] lr: 1.2802e-02 eta: 13:55:10 time: 0.5202 data_time: 0.0417 memory: 18104 grad_norm: 5.4038 loss: 2.9046 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.7712 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 1.1334 2023/02/02 21:38:17 - mmengine - INFO - Epoch(train) [205][ 560/1879] lr: 1.2797e-02 eta: 13:54:59 time: 0.5043 data_time: 0.0424 memory: 18104 grad_norm: 5.4120 loss: 2.8520 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.6577 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.1943 2023/02/02 21:38:28 - mmengine - INFO - Epoch(train) [205][ 580/1879] lr: 1.2792e-02 eta: 13:54:48 time: 0.5056 data_time: 0.0364 memory: 18104 grad_norm: 5.3565 loss: 2.9270 top1_acc_0: 0.1875 top5_acc_0: 0.7500 loss_cls_0: 1.7903 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.1367 2023/02/02 21:38:38 - mmengine - INFO - Epoch(train) [205][ 600/1879] lr: 1.2787e-02 eta: 13:54:38 time: 0.5060 data_time: 0.0288 memory: 18104 grad_norm: 5.3533 loss: 3.0724 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.9310 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.1413 2023/02/02 21:38:48 - mmengine - INFO - Epoch(train) [205][ 620/1879] lr: 1.2782e-02 eta: 13:54:27 time: 0.5044 data_time: 0.0379 memory: 18104 grad_norm: 5.2165 loss: 2.8788 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.5530 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.3258 2023/02/02 21:38:58 - mmengine - INFO - Epoch(train) [205][ 640/1879] lr: 1.2777e-02 eta: 13:54:16 time: 0.4999 data_time: 0.0378 memory: 18104 grad_norm: 5.4986 loss: 2.8973 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6161 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.2812 2023/02/02 21:39:08 - mmengine - INFO - Epoch(train) [205][ 660/1879] lr: 1.2771e-02 eta: 13:54:06 time: 0.5103 data_time: 0.0372 memory: 18104 grad_norm: 5.3510 loss: 2.7446 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.5571 top1_acc_1: 0.8000 top5_acc_1: 0.8706 loss_cls_1: 1.1875 2023/02/02 21:39:18 - mmengine - INFO - Epoch(train) [205][ 680/1879] lr: 1.2766e-02 eta: 13:53:55 time: 0.4996 data_time: 0.0301 memory: 18104 grad_norm: 5.3877 loss: 3.0551 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7900 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 1.2651 2023/02/02 21:39:20 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 21:39:28 - mmengine - INFO - Epoch(train) [205][ 700/1879] lr: 1.2761e-02 eta: 13:53:44 time: 0.5094 data_time: 0.0463 memory: 18104 grad_norm: 5.3765 loss: 3.0362 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8319 top1_acc_1: 0.6824 top5_acc_1: 0.9294 loss_cls_1: 1.2043 2023/02/02 21:39:39 - mmengine - INFO - Epoch(train) [205][ 720/1879] lr: 1.2756e-02 eta: 13:53:34 time: 0.5116 data_time: 0.0314 memory: 18104 grad_norm: 5.5036 loss: 2.9590 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7466 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.2124 2023/02/02 21:39:49 - mmengine - INFO - Epoch(train) [205][ 740/1879] lr: 1.2751e-02 eta: 13:53:23 time: 0.5039 data_time: 0.0379 memory: 18104 grad_norm: 5.3398 loss: 2.8370 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.5843 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 1.2526 2023/02/02 21:39:59 - mmengine - INFO - Epoch(train) [205][ 760/1879] lr: 1.2746e-02 eta: 13:53:12 time: 0.4950 data_time: 0.0322 memory: 18104 grad_norm: 5.4882 loss: 2.8923 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6255 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.2668 2023/02/02 21:40:09 - mmengine - INFO - Epoch(train) [205][ 780/1879] lr: 1.2741e-02 eta: 13:53:02 time: 0.5077 data_time: 0.0449 memory: 18104 grad_norm: 5.5088 loss: 2.8072 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.5905 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.2167 2023/02/02 21:40:19 - mmengine - INFO - Epoch(train) [205][ 800/1879] lr: 1.2736e-02 eta: 13:52:51 time: 0.5037 data_time: 0.0329 memory: 18104 grad_norm: 5.4795 loss: 3.0669 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8492 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.2177 2023/02/02 21:40:29 - mmengine - INFO - Epoch(train) [205][ 820/1879] lr: 1.2731e-02 eta: 13:52:40 time: 0.5056 data_time: 0.0346 memory: 18104 grad_norm: 5.2836 loss: 2.7123 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4376 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.2747 2023/02/02 21:40:39 - mmengine - INFO - Epoch(train) [205][ 840/1879] lr: 1.2726e-02 eta: 13:52:30 time: 0.5054 data_time: 0.0419 memory: 18104 grad_norm: 5.4263 loss: 2.7751 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6572 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.1179 2023/02/02 21:40:49 - mmengine - INFO - Epoch(train) [205][ 860/1879] lr: 1.2721e-02 eta: 13:52:19 time: 0.5070 data_time: 0.0339 memory: 18104 grad_norm: 5.5055 loss: 3.0179 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8082 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.2098 2023/02/02 21:40:59 - mmengine - INFO - Epoch(train) [205][ 880/1879] lr: 1.2716e-02 eta: 13:52:09 time: 0.5101 data_time: 0.0346 memory: 18104 grad_norm: 5.6032 loss: 2.8538 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.7245 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.1293 2023/02/02 21:41:09 - mmengine - INFO - Epoch(train) [205][ 900/1879] lr: 1.2711e-02 eta: 13:51:58 time: 0.4980 data_time: 0.0339 memory: 18104 grad_norm: 5.5745 loss: 2.8620 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6256 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.2364 2023/02/02 21:41:20 - mmengine - INFO - Epoch(train) [205][ 920/1879] lr: 1.2706e-02 eta: 13:51:47 time: 0.5093 data_time: 0.0431 memory: 18104 grad_norm: 5.4788 loss: 2.8461 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6775 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.1685 2023/02/02 21:41:30 - mmengine - INFO - Epoch(train) [205][ 940/1879] lr: 1.2701e-02 eta: 13:51:37 time: 0.5057 data_time: 0.0379 memory: 18104 grad_norm: 5.3070 loss: 2.9640 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.7454 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.2185 2023/02/02 21:41:40 - mmengine - INFO - Epoch(train) [205][ 960/1879] lr: 1.2696e-02 eta: 13:51:26 time: 0.5111 data_time: 0.0334 memory: 18104 grad_norm: 5.4854 loss: 3.0392 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8807 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 1.1585 2023/02/02 21:41:50 - mmengine - INFO - Epoch(train) [205][ 980/1879] lr: 1.2691e-02 eta: 13:51:16 time: 0.5050 data_time: 0.0454 memory: 18104 grad_norm: 5.4126 loss: 2.9028 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.6091 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.2937 2023/02/02 21:42:00 - mmengine - INFO - Epoch(train) [205][1000/1879] lr: 1.2686e-02 eta: 13:51:05 time: 0.5123 data_time: 0.0353 memory: 18104 grad_norm: 5.6096 loss: 2.7572 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6060 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.1512 2023/02/02 21:42:11 - mmengine - INFO - Epoch(train) [205][1020/1879] lr: 1.2681e-02 eta: 13:50:55 time: 0.5151 data_time: 0.0332 memory: 18104 grad_norm: 5.3719 loss: 2.8395 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5925 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.2469 2023/02/02 21:42:21 - mmengine - INFO - Epoch(train) [205][1040/1879] lr: 1.2676e-02 eta: 13:50:44 time: 0.5034 data_time: 0.0344 memory: 18104 grad_norm: 5.5864 loss: 3.0021 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7485 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.2536 2023/02/02 21:42:31 - mmengine - INFO - Epoch(train) [205][1060/1879] lr: 1.2671e-02 eta: 13:50:33 time: 0.5077 data_time: 0.0409 memory: 18104 grad_norm: 5.6215 loss: 2.8450 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6052 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.2398 2023/02/02 21:42:41 - mmengine - INFO - Epoch(train) [205][1080/1879] lr: 1.2666e-02 eta: 13:50:23 time: 0.5112 data_time: 0.0342 memory: 18104 grad_norm: 5.4497 loss: 2.7906 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.5941 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.1966 2023/02/02 21:42:51 - mmengine - INFO - Epoch(train) [205][1100/1879] lr: 1.2661e-02 eta: 13:50:12 time: 0.5054 data_time: 0.0357 memory: 18104 grad_norm: 5.5635 loss: 2.7975 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.6261 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 1.1713 2023/02/02 21:43:02 - mmengine - INFO - Epoch(train) [205][1120/1879] lr: 1.2656e-02 eta: 13:50:02 time: 0.5205 data_time: 0.0422 memory: 18104 grad_norm: 5.4464 loss: 2.9744 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.6532 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.3212 2023/02/02 21:43:12 - mmengine - INFO - Epoch(train) [205][1140/1879] lr: 1.2651e-02 eta: 13:49:51 time: 0.5005 data_time: 0.0329 memory: 18104 grad_norm: 5.4807 loss: 2.9200 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7485 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.1715 2023/02/02 21:43:22 - mmengine - INFO - Epoch(train) [205][1160/1879] lr: 1.2646e-02 eta: 13:49:41 time: 0.5026 data_time: 0.0349 memory: 18104 grad_norm: 5.5074 loss: 2.9713 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.7765 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.1949 2023/02/02 21:43:32 - mmengine - INFO - Epoch(train) [205][1180/1879] lr: 1.2641e-02 eta: 13:49:30 time: 0.5150 data_time: 0.0329 memory: 18104 grad_norm: 5.5109 loss: 2.9509 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.7767 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.1741 2023/02/02 21:43:42 - mmengine - INFO - Epoch(train) [205][1200/1879] lr: 1.2636e-02 eta: 13:49:20 time: 0.5094 data_time: 0.0444 memory: 18104 grad_norm: 5.3422 loss: 3.0440 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.7907 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 1.2533 2023/02/02 21:43:53 - mmengine - INFO - Epoch(train) [205][1220/1879] lr: 1.2631e-02 eta: 13:49:09 time: 0.5086 data_time: 0.0343 memory: 18104 grad_norm: 5.4773 loss: 2.9357 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.7334 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 1.2023 2023/02/02 21:44:03 - mmengine - INFO - Epoch(train) [205][1240/1879] lr: 1.2626e-02 eta: 13:48:59 time: 0.5180 data_time: 0.0337 memory: 18104 grad_norm: 5.3913 loss: 2.9194 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6798 top1_acc_1: 0.7529 top5_acc_1: 0.8353 loss_cls_1: 1.2396 2023/02/02 21:44:14 - mmengine - INFO - Epoch(train) [205][1260/1879] lr: 1.2621e-02 eta: 13:48:49 time: 0.5236 data_time: 0.0330 memory: 18104 grad_norm: 5.4034 loss: 2.9949 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.7060 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.2889 2023/02/02 21:44:24 - mmengine - INFO - Epoch(train) [205][1280/1879] lr: 1.2616e-02 eta: 13:48:38 time: 0.5035 data_time: 0.0336 memory: 18104 grad_norm: 5.5181 loss: 3.0851 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.8417 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.2434 2023/02/02 21:44:34 - mmengine - INFO - Epoch(train) [205][1300/1879] lr: 1.2611e-02 eta: 13:48:28 time: 0.5252 data_time: 0.0362 memory: 18104 grad_norm: 5.4846 loss: 2.8814 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.6221 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.2592 2023/02/02 21:44:45 - mmengine - INFO - Epoch(train) [205][1320/1879] lr: 1.2606e-02 eta: 13:48:18 time: 0.5168 data_time: 0.0339 memory: 18104 grad_norm: 5.5671 loss: 2.9021 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.6976 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.2045 2023/02/02 21:44:55 - mmengine - INFO - Epoch(train) [205][1340/1879] lr: 1.2601e-02 eta: 13:48:08 time: 0.5214 data_time: 0.0407 memory: 18104 grad_norm: 5.3766 loss: 2.8283 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5476 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.2807 2023/02/02 21:45:05 - mmengine - INFO - Epoch(train) [205][1360/1879] lr: 1.2596e-02 eta: 13:47:58 time: 0.5153 data_time: 0.0330 memory: 18104 grad_norm: 5.5126 loss: 3.0274 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7874 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.2400 2023/02/02 21:45:16 - mmengine - INFO - Epoch(train) [205][1380/1879] lr: 1.2591e-02 eta: 13:47:48 time: 0.5211 data_time: 0.0337 memory: 18104 grad_norm: 5.4131 loss: 2.7680 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.5790 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.1890 2023/02/02 21:45:26 - mmengine - INFO - Epoch(train) [205][1400/1879] lr: 1.2586e-02 eta: 13:47:37 time: 0.5198 data_time: 0.0354 memory: 18104 grad_norm: 5.4650 loss: 2.7340 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5582 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.1757 2023/02/02 21:45:37 - mmengine - INFO - Epoch(train) [205][1420/1879] lr: 1.2581e-02 eta: 13:47:27 time: 0.5185 data_time: 0.0350 memory: 18104 grad_norm: 5.4508 loss: 2.9178 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.6781 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.2397 2023/02/02 21:45:47 - mmengine - INFO - Epoch(train) [205][1440/1879] lr: 1.2576e-02 eta: 13:47:17 time: 0.5214 data_time: 0.0347 memory: 18104 grad_norm: 5.6058 loss: 3.1237 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8788 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.2449 2023/02/02 21:45:57 - mmengine - INFO - Epoch(train) [205][1460/1879] lr: 1.2571e-02 eta: 13:47:06 time: 0.5088 data_time: 0.0332 memory: 18104 grad_norm: 5.4107 loss: 2.9520 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.6888 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.2632 2023/02/02 21:46:08 - mmengine - INFO - Epoch(train) [205][1480/1879] lr: 1.2566e-02 eta: 13:46:56 time: 0.5142 data_time: 0.0425 memory: 18104 grad_norm: 5.3817 loss: 2.6913 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4522 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.2391 2023/02/02 21:46:18 - mmengine - INFO - Epoch(train) [205][1500/1879] lr: 1.2561e-02 eta: 13:46:46 time: 0.5312 data_time: 0.0353 memory: 18104 grad_norm: 5.4292 loss: 2.8762 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.5647 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.3115 2023/02/02 21:46:28 - mmengine - INFO - Epoch(train) [205][1520/1879] lr: 1.2556e-02 eta: 13:46:36 time: 0.5048 data_time: 0.0341 memory: 18104 grad_norm: 5.4569 loss: 2.9443 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7873 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.1571 2023/02/02 21:46:39 - mmengine - INFO - Epoch(train) [205][1540/1879] lr: 1.2551e-02 eta: 13:46:26 time: 0.5236 data_time: 0.0345 memory: 18104 grad_norm: 5.4980 loss: 2.9532 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7959 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.1573 2023/02/02 21:46:49 - mmengine - INFO - Epoch(train) [205][1560/1879] lr: 1.2546e-02 eta: 13:46:15 time: 0.5102 data_time: 0.0348 memory: 18104 grad_norm: 5.4404 loss: 2.9704 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.7627 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.2076 2023/02/02 21:46:59 - mmengine - INFO - Epoch(train) [205][1580/1879] lr: 1.2541e-02 eta: 13:46:05 time: 0.5119 data_time: 0.0326 memory: 18104 grad_norm: 5.3021 loss: 2.8491 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.6162 top1_acc_1: 0.7882 top5_acc_1: 0.8824 loss_cls_1: 1.2329 2023/02/02 21:47:10 - mmengine - INFO - Epoch(train) [205][1600/1879] lr: 1.2536e-02 eta: 13:45:55 time: 0.5274 data_time: 0.0335 memory: 18104 grad_norm: 5.4444 loss: 2.7825 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6047 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.1778 2023/02/02 21:47:20 - mmengine - INFO - Epoch(train) [205][1620/1879] lr: 1.2531e-02 eta: 13:45:44 time: 0.5179 data_time: 0.0416 memory: 18104 grad_norm: 5.4390 loss: 2.7893 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5895 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.1998 2023/02/02 21:47:31 - mmengine - INFO - Epoch(train) [205][1640/1879] lr: 1.2526e-02 eta: 13:45:34 time: 0.5227 data_time: 0.0344 memory: 18104 grad_norm: 5.4529 loss: 2.8891 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7168 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.1723 2023/02/02 21:47:41 - mmengine - INFO - Epoch(train) [205][1660/1879] lr: 1.2521e-02 eta: 13:45:23 time: 0.4903 data_time: 0.0336 memory: 18104 grad_norm: 5.4217 loss: 2.8922 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.6882 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2040 2023/02/02 21:47:51 - mmengine - INFO - Epoch(train) [205][1680/1879] lr: 1.2516e-02 eta: 13:45:13 time: 0.5155 data_time: 0.0428 memory: 18104 grad_norm: 5.3204 loss: 2.7442 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5138 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.2304 2023/02/02 21:47:53 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 21:48:01 - mmengine - INFO - Epoch(train) [205][1700/1879] lr: 1.2511e-02 eta: 13:45:02 time: 0.5097 data_time: 0.0350 memory: 18104 grad_norm: 5.4630 loss: 3.0031 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.7596 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.2435 2023/02/02 21:48:11 - mmengine - INFO - Epoch(train) [205][1720/1879] lr: 1.2506e-02 eta: 13:44:52 time: 0.5064 data_time: 0.0338 memory: 18104 grad_norm: 5.4987 loss: 2.9523 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.7551 top1_acc_1: 0.7412 top5_acc_1: 0.8471 loss_cls_1: 1.1971 2023/02/02 21:48:22 - mmengine - INFO - Epoch(train) [205][1740/1879] lr: 1.2501e-02 eta: 13:44:42 time: 0.5177 data_time: 0.0430 memory: 18104 grad_norm: 5.2734 loss: 2.9709 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.6984 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.2725 2023/02/02 21:48:32 - mmengine - INFO - Epoch(train) [205][1760/1879] lr: 1.2496e-02 eta: 13:44:31 time: 0.5225 data_time: 0.0367 memory: 18104 grad_norm: 5.3299 loss: 2.9091 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.6667 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.2423 2023/02/02 21:48:42 - mmengine - INFO - Epoch(train) [205][1780/1879] lr: 1.2491e-02 eta: 13:44:21 time: 0.5167 data_time: 0.0342 memory: 18104 grad_norm: 5.4585 loss: 3.1303 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8654 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.2648 2023/02/02 21:48:52 - mmengine - INFO - Epoch(train) [205][1800/1879] lr: 1.2486e-02 eta: 13:44:10 time: 0.4992 data_time: 0.0340 memory: 18104 grad_norm: 5.4584 loss: 2.9180 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 1.7553 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.1627 2023/02/02 21:49:03 - mmengine - INFO - Epoch(train) [205][1820/1879] lr: 1.2481e-02 eta: 13:44:00 time: 0.5189 data_time: 0.0416 memory: 18104 grad_norm: 5.4174 loss: 2.9698 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7588 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.2110 2023/02/02 21:49:13 - mmengine - INFO - Epoch(train) [205][1840/1879] lr: 1.2476e-02 eta: 13:43:50 time: 0.5089 data_time: 0.0336 memory: 18104 grad_norm: 5.5118 loss: 2.9767 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7173 top1_acc_1: 0.7059 top5_acc_1: 0.8118 loss_cls_1: 1.2595 2023/02/02 21:49:23 - mmengine - INFO - Epoch(train) [205][1860/1879] lr: 1.2471e-02 eta: 13:43:39 time: 0.5030 data_time: 0.0337 memory: 18104 grad_norm: 5.4831 loss: 2.8253 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.5398 top1_acc_1: 0.6000 top5_acc_1: 0.8235 loss_cls_1: 1.2854 2023/02/02 21:49:32 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 21:49:32 - mmengine - INFO - Epoch(train) [205][1879/1879] lr: 1.2467e-02 eta: 13:43:28 time: 0.4769 data_time: 0.0293 memory: 18104 grad_norm: 5.5564 loss: 2.9750 top1_acc_0: 0.5714 top5_acc_0: 0.5714 loss_cls_0: 1.7529 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.2221 2023/02/02 21:49:47 - mmengine - INFO - Epoch(train) [206][ 20/1879] lr: 1.2462e-02 eta: 13:43:24 time: 0.7179 data_time: 0.2703 memory: 18104 grad_norm: 5.4692 loss: 2.8592 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.6454 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.2138 2023/02/02 21:49:57 - mmengine - INFO - Epoch(train) [206][ 40/1879] lr: 1.2457e-02 eta: 13:43:13 time: 0.4853 data_time: 0.0316 memory: 18104 grad_norm: 5.4936 loss: 2.7281 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5123 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.2159 2023/02/02 21:50:07 - mmengine - INFO - Epoch(train) [206][ 60/1879] lr: 1.2452e-02 eta: 13:43:02 time: 0.4932 data_time: 0.0358 memory: 18104 grad_norm: 5.4463 loss: 2.9053 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.6803 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.2250 2023/02/02 21:50:17 - mmengine - INFO - Epoch(train) [206][ 80/1879] lr: 1.2447e-02 eta: 13:42:51 time: 0.5181 data_time: 0.0396 memory: 18104 grad_norm: 5.5270 loss: 3.0218 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.7969 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.2249 2023/02/02 21:50:27 - mmengine - INFO - Epoch(train) [206][ 100/1879] lr: 1.2442e-02 eta: 13:42:41 time: 0.4962 data_time: 0.0363 memory: 18104 grad_norm: 5.4520 loss: 2.8368 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6771 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.1597 2023/02/02 21:50:37 - mmengine - INFO - Epoch(train) [206][ 120/1879] lr: 1.2437e-02 eta: 13:42:29 time: 0.4869 data_time: 0.0320 memory: 18104 grad_norm: 5.4384 loss: 2.8243 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.6154 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.2090 2023/02/02 21:50:48 - mmengine - INFO - Epoch(train) [206][ 140/1879] lr: 1.2432e-02 eta: 13:42:19 time: 0.5262 data_time: 0.0393 memory: 18104 grad_norm: 5.4648 loss: 2.7725 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5926 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.1800 2023/02/02 21:50:58 - mmengine - INFO - Epoch(train) [206][ 160/1879] lr: 1.2427e-02 eta: 13:42:09 time: 0.4997 data_time: 0.0306 memory: 18104 grad_norm: 5.3527 loss: 2.8501 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.5999 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.2502 2023/02/02 21:51:08 - mmengine - INFO - Epoch(train) [206][ 180/1879] lr: 1.2422e-02 eta: 13:41:58 time: 0.5072 data_time: 0.0386 memory: 18104 grad_norm: 5.4105 loss: 2.8465 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6820 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.1644 2023/02/02 21:51:18 - mmengine - INFO - Epoch(train) [206][ 200/1879] lr: 1.2417e-02 eta: 13:41:47 time: 0.4986 data_time: 0.0317 memory: 18104 grad_norm: 5.4533 loss: 3.0596 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7721 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.2875 2023/02/02 21:51:28 - mmengine - INFO - Epoch(train) [206][ 220/1879] lr: 1.2412e-02 eta: 13:41:37 time: 0.5226 data_time: 0.0447 memory: 18104 grad_norm: 5.4202 loss: 2.9065 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.6865 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.2200 2023/02/02 21:51:38 - mmengine - INFO - Epoch(train) [206][ 240/1879] lr: 1.2407e-02 eta: 13:41:26 time: 0.5029 data_time: 0.0313 memory: 18104 grad_norm: 5.4626 loss: 3.0151 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7324 top1_acc_1: 0.7412 top5_acc_1: 0.8353 loss_cls_1: 1.2827 2023/02/02 21:51:48 - mmengine - INFO - Epoch(train) [206][ 260/1879] lr: 1.2402e-02 eta: 13:41:16 time: 0.5082 data_time: 0.0364 memory: 18104 grad_norm: 5.3908 loss: 2.7927 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6136 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.1791 2023/02/02 21:51:59 - mmengine - INFO - Epoch(train) [206][ 280/1879] lr: 1.2397e-02 eta: 13:41:06 time: 0.5174 data_time: 0.0289 memory: 18104 grad_norm: 5.3767 loss: 2.7565 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.5445 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.2120 2023/02/02 21:52:09 - mmengine - INFO - Epoch(train) [206][ 300/1879] lr: 1.2392e-02 eta: 13:40:55 time: 0.5175 data_time: 0.0463 memory: 18104 grad_norm: 5.4743 loss: 2.6253 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.5040 top1_acc_1: 0.6353 top5_acc_1: 0.8000 loss_cls_1: 1.1213 2023/02/02 21:52:19 - mmengine - INFO - Epoch(train) [206][ 320/1879] lr: 1.2387e-02 eta: 13:40:44 time: 0.4975 data_time: 0.0312 memory: 18104 grad_norm: 5.4962 loss: 3.1412 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.8858 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.2554 2023/02/02 21:52:30 - mmengine - INFO - Epoch(train) [206][ 340/1879] lr: 1.2382e-02 eta: 13:40:34 time: 0.5141 data_time: 0.0375 memory: 18104 grad_norm: 5.4325 loss: 2.8430 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6130 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.2301 2023/02/02 21:52:40 - mmengine - INFO - Epoch(train) [206][ 360/1879] lr: 1.2377e-02 eta: 13:40:24 time: 0.5179 data_time: 0.0317 memory: 18104 grad_norm: 5.6694 loss: 3.2160 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9427 top1_acc_1: 0.5529 top5_acc_1: 0.8706 loss_cls_1: 1.2734 2023/02/02 21:52:50 - mmengine - INFO - Epoch(train) [206][ 380/1879] lr: 1.2372e-02 eta: 13:40:13 time: 0.5023 data_time: 0.0385 memory: 18104 grad_norm: 5.5638 loss: 3.0282 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7652 top1_acc_1: 0.5882 top5_acc_1: 0.7765 loss_cls_1: 1.2630 2023/02/02 21:53:00 - mmengine - INFO - Epoch(train) [206][ 400/1879] lr: 1.2367e-02 eta: 13:40:03 time: 0.5065 data_time: 0.0318 memory: 18104 grad_norm: 5.4296 loss: 3.0978 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.9033 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 1.1945 2023/02/02 21:53:11 - mmengine - INFO - Epoch(train) [206][ 420/1879] lr: 1.2362e-02 eta: 13:39:52 time: 0.5196 data_time: 0.0471 memory: 18104 grad_norm: 5.3910 loss: 3.0783 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8524 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.2259 2023/02/02 21:53:21 - mmengine - INFO - Epoch(train) [206][ 440/1879] lr: 1.2357e-02 eta: 13:39:42 time: 0.5044 data_time: 0.0290 memory: 18104 grad_norm: 5.6100 loss: 2.9153 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6691 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.2463 2023/02/02 21:53:31 - mmengine - INFO - Epoch(train) [206][ 460/1879] lr: 1.2352e-02 eta: 13:39:31 time: 0.5045 data_time: 0.0377 memory: 18104 grad_norm: 5.4228 loss: 2.8162 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.6515 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.1647 2023/02/02 21:53:41 - mmengine - INFO - Epoch(train) [206][ 480/1879] lr: 1.2347e-02 eta: 13:39:20 time: 0.5058 data_time: 0.0320 memory: 18104 grad_norm: 5.5011 loss: 2.8258 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.5838 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.2419 2023/02/02 21:53:52 - mmengine - INFO - Epoch(train) [206][ 500/1879] lr: 1.2343e-02 eta: 13:39:11 time: 0.5328 data_time: 0.0539 memory: 18104 grad_norm: 5.4683 loss: 2.8446 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5930 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.2516 2023/02/02 21:54:02 - mmengine - INFO - Epoch(train) [206][ 520/1879] lr: 1.2338e-02 eta: 13:39:00 time: 0.4954 data_time: 0.0289 memory: 18104 grad_norm: 5.4497 loss: 2.8323 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6202 top1_acc_1: 0.8000 top5_acc_1: 0.8824 loss_cls_1: 1.2121 2023/02/02 21:54:12 - mmengine - INFO - Epoch(train) [206][ 540/1879] lr: 1.2333e-02 eta: 13:38:49 time: 0.5112 data_time: 0.0419 memory: 18104 grad_norm: 5.4459 loss: 2.7437 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5869 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.1568 2023/02/02 21:54:22 - mmengine - INFO - Epoch(train) [206][ 560/1879] lr: 1.2328e-02 eta: 13:38:39 time: 0.5138 data_time: 0.0371 memory: 18104 grad_norm: 5.5094 loss: 2.7273 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.5167 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.2106 2023/02/02 21:54:32 - mmengine - INFO - Epoch(train) [206][ 580/1879] lr: 1.2323e-02 eta: 13:38:28 time: 0.5008 data_time: 0.0365 memory: 18104 grad_norm: 5.5068 loss: 3.1393 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.9476 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.1918 2023/02/02 21:54:42 - mmengine - INFO - Epoch(train) [206][ 600/1879] lr: 1.2318e-02 eta: 13:38:18 time: 0.5081 data_time: 0.0309 memory: 18104 grad_norm: 5.5831 loss: 2.8884 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.6249 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.2635 2023/02/02 21:54:53 - mmengine - INFO - Epoch(train) [206][ 620/1879] lr: 1.2313e-02 eta: 13:38:07 time: 0.5131 data_time: 0.0382 memory: 18104 grad_norm: 5.5933 loss: 2.8284 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6681 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.1603 2023/02/02 21:55:03 - mmengine - INFO - Epoch(train) [206][ 640/1879] lr: 1.2308e-02 eta: 13:37:57 time: 0.5112 data_time: 0.0365 memory: 18104 grad_norm: 5.4646 loss: 3.0223 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7274 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.2950 2023/02/02 21:55:13 - mmengine - INFO - Epoch(train) [206][ 660/1879] lr: 1.2303e-02 eta: 13:37:46 time: 0.5081 data_time: 0.0378 memory: 18104 grad_norm: 5.4273 loss: 2.8741 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 1.7270 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.1471 2023/02/02 21:55:23 - mmengine - INFO - Epoch(train) [206][ 680/1879] lr: 1.2298e-02 eta: 13:37:36 time: 0.5087 data_time: 0.0301 memory: 18104 grad_norm: 5.4491 loss: 2.8771 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6860 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.1911 2023/02/02 21:55:34 - mmengine - INFO - Epoch(train) [206][ 700/1879] lr: 1.2293e-02 eta: 13:37:26 time: 0.5288 data_time: 0.0460 memory: 18104 grad_norm: 5.3807 loss: 2.8358 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.6439 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.1918 2023/02/02 21:55:44 - mmengine - INFO - Epoch(train) [206][ 720/1879] lr: 1.2288e-02 eta: 13:37:15 time: 0.5070 data_time: 0.0296 memory: 18104 grad_norm: 5.6357 loss: 2.9437 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6410 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.3027 2023/02/02 21:55:54 - mmengine - INFO - Epoch(train) [206][ 740/1879] lr: 1.2283e-02 eta: 13:37:05 time: 0.5097 data_time: 0.0314 memory: 18104 grad_norm: 5.4287 loss: 2.8092 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.5583 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.2509 2023/02/02 21:56:05 - mmengine - INFO - Epoch(train) [206][ 760/1879] lr: 1.2278e-02 eta: 13:36:55 time: 0.5318 data_time: 0.0476 memory: 18104 grad_norm: 5.6195 loss: 2.9475 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6680 top1_acc_1: 0.6941 top5_acc_1: 0.8118 loss_cls_1: 1.2795 2023/02/02 21:56:15 - mmengine - INFO - Epoch(train) [206][ 780/1879] lr: 1.2273e-02 eta: 13:36:45 time: 0.5248 data_time: 0.0301 memory: 18104 grad_norm: 5.4253 loss: 2.9891 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7570 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.2321 2023/02/02 21:56:26 - mmengine - INFO - Epoch(train) [206][ 800/1879] lr: 1.2268e-02 eta: 13:36:34 time: 0.5104 data_time: 0.0356 memory: 18104 grad_norm: 5.5043 loss: 3.0121 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7784 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.2337 2023/02/02 21:56:28 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 21:56:36 - mmengine - INFO - Epoch(train) [206][ 820/1879] lr: 1.2263e-02 eta: 13:36:24 time: 0.5094 data_time: 0.0374 memory: 18104 grad_norm: 5.4919 loss: 2.7742 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.5564 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.2178 2023/02/02 21:56:46 - mmengine - INFO - Epoch(train) [206][ 840/1879] lr: 1.2258e-02 eta: 13:36:14 time: 0.5222 data_time: 0.0315 memory: 18104 grad_norm: 5.4388 loss: 2.7995 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.6059 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.1936 2023/02/02 21:56:56 - mmengine - INFO - Epoch(train) [206][ 860/1879] lr: 1.2253e-02 eta: 13:36:03 time: 0.5067 data_time: 0.0373 memory: 18104 grad_norm: 5.5542 loss: 2.9506 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.6593 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.2913 2023/02/02 21:57:07 - mmengine - INFO - Epoch(train) [206][ 880/1879] lr: 1.2249e-02 eta: 13:35:53 time: 0.5108 data_time: 0.0298 memory: 18104 grad_norm: 5.6145 loss: 3.1533 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.9649 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.1884 2023/02/02 21:57:17 - mmengine - INFO - Epoch(train) [206][ 900/1879] lr: 1.2244e-02 eta: 13:35:43 time: 0.5266 data_time: 0.0439 memory: 18104 grad_norm: 5.4779 loss: 3.0404 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7102 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.3301 2023/02/02 21:57:28 - mmengine - INFO - Epoch(train) [206][ 920/1879] lr: 1.2239e-02 eta: 13:35:33 time: 0.5162 data_time: 0.0303 memory: 18104 grad_norm: 5.4662 loss: 2.9468 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7176 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 1.2292 2023/02/02 21:57:38 - mmengine - INFO - Epoch(train) [206][ 940/1879] lr: 1.2234e-02 eta: 13:35:22 time: 0.5035 data_time: 0.0384 memory: 18104 grad_norm: 5.5137 loss: 2.8042 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6823 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.1219 2023/02/02 21:57:48 - mmengine - INFO - Epoch(train) [206][ 960/1879] lr: 1.2229e-02 eta: 13:35:11 time: 0.5114 data_time: 0.0300 memory: 18104 grad_norm: 5.4797 loss: 2.8346 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.5570 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.2776 2023/02/02 21:57:58 - mmengine - INFO - Epoch(train) [206][ 980/1879] lr: 1.2224e-02 eta: 13:35:01 time: 0.5243 data_time: 0.0453 memory: 18104 grad_norm: 5.4397 loss: 2.9763 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7237 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.2525 2023/02/02 21:58:09 - mmengine - INFO - Epoch(train) [206][1000/1879] lr: 1.2219e-02 eta: 13:34:51 time: 0.5174 data_time: 0.0321 memory: 18104 grad_norm: 5.5452 loss: 2.9982 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.7126 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.2857 2023/02/02 21:58:19 - mmengine - INFO - Epoch(train) [206][1020/1879] lr: 1.2214e-02 eta: 13:34:41 time: 0.5189 data_time: 0.0386 memory: 18104 grad_norm: 5.6225 loss: 2.9796 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8269 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.1527 2023/02/02 21:58:30 - mmengine - INFO - Epoch(train) [206][1040/1879] lr: 1.2209e-02 eta: 13:34:31 time: 0.5203 data_time: 0.0373 memory: 18104 grad_norm: 5.4797 loss: 2.8397 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6864 top1_acc_1: 0.6588 top5_acc_1: 0.9294 loss_cls_1: 1.1533 2023/02/02 21:58:40 - mmengine - INFO - Epoch(train) [206][1060/1879] lr: 1.2204e-02 eta: 13:34:20 time: 0.5081 data_time: 0.0376 memory: 18104 grad_norm: 5.4327 loss: 2.8393 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7222 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 1.1171 2023/02/02 21:58:50 - mmengine - INFO - Epoch(train) [206][1080/1879] lr: 1.2199e-02 eta: 13:34:10 time: 0.5135 data_time: 0.0332 memory: 18104 grad_norm: 5.6308 loss: 2.9836 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7248 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.2587 2023/02/02 21:59:00 - mmengine - INFO - Epoch(train) [206][1100/1879] lr: 1.2194e-02 eta: 13:34:00 time: 0.5160 data_time: 0.0448 memory: 18104 grad_norm: 5.6361 loss: 3.0267 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.7816 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.2450 2023/02/02 21:59:11 - mmengine - INFO - Epoch(train) [206][1120/1879] lr: 1.2189e-02 eta: 13:33:49 time: 0.5083 data_time: 0.0304 memory: 18104 grad_norm: 5.5819 loss: 2.9690 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7383 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.2307 2023/02/02 21:59:21 - mmengine - INFO - Epoch(train) [206][1140/1879] lr: 1.2184e-02 eta: 13:33:39 time: 0.5098 data_time: 0.0358 memory: 18104 grad_norm: 5.5651 loss: 2.9870 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.7922 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.1947 2023/02/02 21:59:31 - mmengine - INFO - Epoch(train) [206][1160/1879] lr: 1.2179e-02 eta: 13:33:28 time: 0.5152 data_time: 0.0298 memory: 18104 grad_norm: 5.5204 loss: 3.1535 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9175 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.2359 2023/02/02 21:59:42 - mmengine - INFO - Epoch(train) [206][1180/1879] lr: 1.2175e-02 eta: 13:33:18 time: 0.5205 data_time: 0.0433 memory: 18104 grad_norm: 5.4497 loss: 2.9315 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.6840 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.2475 2023/02/02 21:59:52 - mmengine - INFO - Epoch(train) [206][1200/1879] lr: 1.2170e-02 eta: 13:33:07 time: 0.5050 data_time: 0.0308 memory: 18104 grad_norm: 5.3967 loss: 2.8804 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5442 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.3361 2023/02/02 22:00:02 - mmengine - INFO - Epoch(train) [206][1220/1879] lr: 1.2165e-02 eta: 13:32:58 time: 0.5300 data_time: 0.0386 memory: 18104 grad_norm: 5.4630 loss: 3.0199 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7934 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.2265 2023/02/02 22:00:13 - mmengine - INFO - Epoch(train) [206][1240/1879] lr: 1.2160e-02 eta: 13:32:47 time: 0.5078 data_time: 0.0320 memory: 18104 grad_norm: 5.5373 loss: 3.0369 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8543 top1_acc_1: 0.7176 top5_acc_1: 0.9647 loss_cls_1: 1.1826 2023/02/02 22:00:23 - mmengine - INFO - Epoch(train) [206][1260/1879] lr: 1.2155e-02 eta: 13:32:37 time: 0.5143 data_time: 0.0417 memory: 18104 grad_norm: 5.5155 loss: 2.9079 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6463 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.2616 2023/02/02 22:00:33 - mmengine - INFO - Epoch(train) [206][1280/1879] lr: 1.2150e-02 eta: 13:32:26 time: 0.5082 data_time: 0.0304 memory: 18104 grad_norm: 5.4688 loss: 2.8548 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6445 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.2103 2023/02/02 22:00:43 - mmengine - INFO - Epoch(train) [206][1300/1879] lr: 1.2145e-02 eta: 13:32:16 time: 0.5195 data_time: 0.0368 memory: 18104 grad_norm: 5.6198 loss: 2.8714 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6236 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.2478 2023/02/02 22:00:54 - mmengine - INFO - Epoch(train) [206][1320/1879] lr: 1.2140e-02 eta: 13:32:05 time: 0.5092 data_time: 0.0300 memory: 18104 grad_norm: 5.4279 loss: 2.6432 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.4186 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.2246 2023/02/02 22:01:04 - mmengine - INFO - Epoch(train) [206][1340/1879] lr: 1.2135e-02 eta: 13:31:55 time: 0.5135 data_time: 0.0449 memory: 18104 grad_norm: 5.4301 loss: 2.9389 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.6984 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.2405 2023/02/02 22:01:14 - mmengine - INFO - Epoch(train) [206][1360/1879] lr: 1.2130e-02 eta: 13:31:45 time: 0.5100 data_time: 0.0305 memory: 18104 grad_norm: 5.6142 loss: 2.6455 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.5035 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.1420 2023/02/02 22:01:24 - mmengine - INFO - Epoch(train) [206][1380/1879] lr: 1.2125e-02 eta: 13:31:34 time: 0.5060 data_time: 0.0363 memory: 18104 grad_norm: 5.5763 loss: 3.0410 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.7466 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.2944 2023/02/02 22:01:34 - mmengine - INFO - Epoch(train) [206][1400/1879] lr: 1.2120e-02 eta: 13:31:23 time: 0.5022 data_time: 0.0342 memory: 18104 grad_norm: 5.5802 loss: 3.0407 top1_acc_0: 0.4375 top5_acc_0: 0.5000 loss_cls_0: 1.8349 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 1.2058 2023/02/02 22:01:45 - mmengine - INFO - Epoch(train) [206][1420/1879] lr: 1.2116e-02 eta: 13:31:13 time: 0.5195 data_time: 0.0369 memory: 18104 grad_norm: 5.7958 loss: 3.1051 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8396 top1_acc_1: 0.7412 top5_acc_1: 0.8000 loss_cls_1: 1.2655 2023/02/02 22:01:55 - mmengine - INFO - Epoch(train) [206][1440/1879] lr: 1.2111e-02 eta: 13:31:02 time: 0.5031 data_time: 0.0355 memory: 18104 grad_norm: 5.5895 loss: 2.7874 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.5006 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.2868 2023/02/02 22:02:05 - mmengine - INFO - Epoch(train) [206][1460/1879] lr: 1.2106e-02 eta: 13:30:52 time: 0.5083 data_time: 0.0299 memory: 18104 grad_norm: 5.5845 loss: 2.9596 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7757 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.1839 2023/02/02 22:02:15 - mmengine - INFO - Epoch(train) [206][1480/1879] lr: 1.2101e-02 eta: 13:30:42 time: 0.5173 data_time: 0.0434 memory: 18104 grad_norm: 5.7217 loss: 3.0780 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.8083 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.2697 2023/02/02 22:02:26 - mmengine - INFO - Epoch(train) [206][1500/1879] lr: 1.2096e-02 eta: 13:30:31 time: 0.5174 data_time: 0.0347 memory: 18104 grad_norm: 5.6692 loss: 2.7492 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5917 top1_acc_1: 0.6824 top5_acc_1: 0.9294 loss_cls_1: 1.1574 2023/02/02 22:02:36 - mmengine - INFO - Epoch(train) [206][1520/1879] lr: 1.2091e-02 eta: 13:30:21 time: 0.5078 data_time: 0.0372 memory: 18104 grad_norm: 5.4889 loss: 2.9206 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7874 top1_acc_1: 0.6471 top5_acc_1: 0.9176 loss_cls_1: 1.1332 2023/02/02 22:02:46 - mmengine - INFO - Epoch(train) [206][1540/1879] lr: 1.2086e-02 eta: 13:30:11 time: 0.5206 data_time: 0.0420 memory: 18104 grad_norm: 5.5579 loss: 2.9545 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6526 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.3020 2023/02/02 22:02:57 - mmengine - INFO - Epoch(train) [206][1560/1879] lr: 1.2081e-02 eta: 13:30:00 time: 0.5190 data_time: 0.0353 memory: 18104 grad_norm: 5.4524 loss: 2.8982 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.6223 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.2759 2023/02/02 22:03:07 - mmengine - INFO - Epoch(train) [206][1580/1879] lr: 1.2076e-02 eta: 13:29:50 time: 0.5147 data_time: 0.0330 memory: 18104 grad_norm: 5.4469 loss: 3.0459 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8048 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.2410 2023/02/02 22:03:17 - mmengine - INFO - Epoch(train) [206][1600/1879] lr: 1.2071e-02 eta: 13:29:40 time: 0.5167 data_time: 0.0340 memory: 18104 grad_norm: 5.5322 loss: 3.0120 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.7995 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.2125 2023/02/02 22:03:28 - mmengine - INFO - Epoch(train) [206][1620/1879] lr: 1.2066e-02 eta: 13:29:30 time: 0.5424 data_time: 0.0370 memory: 18104 grad_norm: 5.4694 loss: 2.6748 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.4253 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.2494 2023/02/02 22:03:38 - mmengine - INFO - Epoch(train) [206][1640/1879] lr: 1.2061e-02 eta: 13:29:20 time: 0.5060 data_time: 0.0332 memory: 18104 grad_norm: 5.3991 loss: 2.6005 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3023 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.2982 2023/02/02 22:03:49 - mmengine - INFO - Epoch(train) [206][1660/1879] lr: 1.2057e-02 eta: 13:29:09 time: 0.5095 data_time: 0.0355 memory: 18104 grad_norm: 5.6347 loss: 2.9186 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6560 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.2627 2023/02/02 22:03:59 - mmengine - INFO - Epoch(train) [206][1680/1879] lr: 1.2052e-02 eta: 13:28:59 time: 0.5290 data_time: 0.0414 memory: 18104 grad_norm: 5.4834 loss: 2.8235 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.6524 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.1710 2023/02/02 22:04:10 - mmengine - INFO - Epoch(train) [206][1700/1879] lr: 1.2047e-02 eta: 13:28:49 time: 0.5244 data_time: 0.0312 memory: 18104 grad_norm: 5.5549 loss: 3.0679 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7868 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.2810 2023/02/02 22:04:20 - mmengine - INFO - Epoch(train) [206][1720/1879] lr: 1.2042e-02 eta: 13:28:39 time: 0.5119 data_time: 0.0339 memory: 18104 grad_norm: 5.5659 loss: 3.0249 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7268 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.2982 2023/02/02 22:04:30 - mmengine - INFO - Epoch(train) [206][1740/1879] lr: 1.2037e-02 eta: 13:28:28 time: 0.5115 data_time: 0.0349 memory: 18104 grad_norm: 5.5746 loss: 3.1408 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.9308 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.2100 2023/02/02 22:04:41 - mmengine - INFO - Epoch(train) [206][1760/1879] lr: 1.2032e-02 eta: 13:28:19 time: 0.5368 data_time: 0.0417 memory: 18104 grad_norm: 5.6615 loss: 3.0179 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.8312 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.1868 2023/02/02 22:04:51 - mmengine - INFO - Epoch(train) [206][1780/1879] lr: 1.2027e-02 eta: 13:28:08 time: 0.5157 data_time: 0.0326 memory: 18104 grad_norm: 5.5020 loss: 2.9855 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.7156 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.2698 2023/02/02 22:05:01 - mmengine - INFO - Epoch(train) [206][1800/1879] lr: 1.2022e-02 eta: 13:27:58 time: 0.5002 data_time: 0.0343 memory: 18104 grad_norm: 5.4823 loss: 2.8410 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.5774 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2636 2023/02/02 22:05:04 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 22:05:12 - mmengine - INFO - Epoch(train) [206][1820/1879] lr: 1.2017e-02 eta: 13:27:48 time: 0.5248 data_time: 0.0407 memory: 18104 grad_norm: 5.4218 loss: 2.9403 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.6825 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.2578 2023/02/02 22:05:22 - mmengine - INFO - Epoch(train) [206][1840/1879] lr: 1.2012e-02 eta: 13:27:37 time: 0.5185 data_time: 0.0326 memory: 18104 grad_norm: 5.5410 loss: 2.8951 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6649 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.2301 2023/02/02 22:05:32 - mmengine - INFO - Epoch(train) [206][1860/1879] lr: 1.2008e-02 eta: 13:27:26 time: 0.4962 data_time: 0.0340 memory: 18104 grad_norm: 5.4625 loss: 2.9450 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 1.7266 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 1.2184 2023/02/02 22:05:42 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 22:05:42 - mmengine - INFO - Epoch(train) [206][1879/1879] lr: 1.2003e-02 eta: 13:27:16 time: 0.4985 data_time: 0.0268 memory: 18104 grad_norm: 5.6493 loss: 2.9954 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 1.7811 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.2142 2023/02/02 22:05:57 - mmengine - INFO - Epoch(train) [207][ 20/1879] lr: 1.1998e-02 eta: 13:27:12 time: 0.7342 data_time: 0.2591 memory: 18104 grad_norm: 5.4709 loss: 2.9015 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7011 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.2005 2023/02/02 22:06:07 - mmengine - INFO - Epoch(train) [207][ 40/1879] lr: 1.1993e-02 eta: 13:27:01 time: 0.4806 data_time: 0.0341 memory: 18104 grad_norm: 5.5414 loss: 2.8955 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.7474 top1_acc_1: 0.7176 top5_acc_1: 0.8000 loss_cls_1: 1.1481 2023/02/02 22:06:17 - mmengine - INFO - Epoch(train) [207][ 60/1879] lr: 1.1988e-02 eta: 13:26:50 time: 0.4921 data_time: 0.0367 memory: 18104 grad_norm: 5.3806 loss: 2.6879 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.5444 top1_acc_1: 0.6353 top5_acc_1: 0.9294 loss_cls_1: 1.1435 2023/02/02 22:06:27 - mmengine - INFO - Epoch(train) [207][ 80/1879] lr: 1.1983e-02 eta: 13:26:40 time: 0.5200 data_time: 0.0398 memory: 18104 grad_norm: 5.4498 loss: 2.6790 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.5777 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.1014 2023/02/02 22:06:37 - mmengine - INFO - Epoch(train) [207][ 100/1879] lr: 1.1978e-02 eta: 13:26:29 time: 0.5007 data_time: 0.0395 memory: 18104 grad_norm: 5.4748 loss: 2.9449 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7126 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.2323 2023/02/02 22:06:47 - mmengine - INFO - Epoch(train) [207][ 120/1879] lr: 1.1974e-02 eta: 13:26:18 time: 0.4859 data_time: 0.0325 memory: 18104 grad_norm: 5.4683 loss: 2.6995 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5405 top1_acc_1: 0.5765 top5_acc_1: 0.8588 loss_cls_1: 1.1590 2023/02/02 22:06:57 - mmengine - INFO - Epoch(train) [207][ 140/1879] lr: 1.1969e-02 eta: 13:26:08 time: 0.5177 data_time: 0.0486 memory: 18104 grad_norm: 5.5123 loss: 2.8799 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7513 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 1.1286 2023/02/02 22:07:07 - mmengine - INFO - Epoch(train) [207][ 160/1879] lr: 1.1964e-02 eta: 13:25:57 time: 0.5042 data_time: 0.0308 memory: 18104 grad_norm: 5.4384 loss: 2.7225 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.5062 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.2163 2023/02/02 22:07:17 - mmengine - INFO - Epoch(train) [207][ 180/1879] lr: 1.1959e-02 eta: 13:25:46 time: 0.4971 data_time: 0.0386 memory: 18104 grad_norm: 5.3899 loss: 2.7653 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.6281 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.1372 2023/02/02 22:07:27 - mmengine - INFO - Epoch(train) [207][ 200/1879] lr: 1.1954e-02 eta: 13:25:35 time: 0.5040 data_time: 0.0401 memory: 18104 grad_norm: 5.5795 loss: 2.9358 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6883 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.2475 2023/02/02 22:07:38 - mmengine - INFO - Epoch(train) [207][ 220/1879] lr: 1.1949e-02 eta: 13:25:25 time: 0.5269 data_time: 0.0372 memory: 18104 grad_norm: 5.5773 loss: 2.8637 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7072 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.1565 2023/02/02 22:07:48 - mmengine - INFO - Epoch(train) [207][ 240/1879] lr: 1.1944e-02 eta: 13:25:14 time: 0.4826 data_time: 0.0310 memory: 18104 grad_norm: 5.5578 loss: 2.7776 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5489 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.2287 2023/02/02 22:07:58 - mmengine - INFO - Epoch(train) [207][ 260/1879] lr: 1.1939e-02 eta: 13:25:04 time: 0.5165 data_time: 0.0391 memory: 18104 grad_norm: 5.6362 loss: 2.8409 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6204 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.2205 2023/02/02 22:08:08 - mmengine - INFO - Epoch(train) [207][ 280/1879] lr: 1.1934e-02 eta: 13:24:53 time: 0.5046 data_time: 0.0376 memory: 18104 grad_norm: 5.6208 loss: 2.9522 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.7794 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.1728 2023/02/02 22:08:18 - mmengine - INFO - Epoch(train) [207][ 300/1879] lr: 1.1930e-02 eta: 13:24:43 time: 0.5129 data_time: 0.0374 memory: 18104 grad_norm: 5.5886 loss: 3.0205 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.8161 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.2044 2023/02/02 22:08:28 - mmengine - INFO - Epoch(train) [207][ 320/1879] lr: 1.1925e-02 eta: 13:24:32 time: 0.4896 data_time: 0.0302 memory: 18104 grad_norm: 5.3420 loss: 3.0919 top1_acc_0: 0.3125 top5_acc_0: 0.4375 loss_cls_0: 1.8512 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.2408 2023/02/02 22:08:38 - mmengine - INFO - Epoch(train) [207][ 340/1879] lr: 1.1920e-02 eta: 13:24:21 time: 0.5109 data_time: 0.0449 memory: 18104 grad_norm: 5.3662 loss: 2.9714 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7724 top1_acc_1: 0.5882 top5_acc_1: 0.8824 loss_cls_1: 1.1989 2023/02/02 22:08:49 - mmengine - INFO - Epoch(train) [207][ 360/1879] lr: 1.1915e-02 eta: 13:24:11 time: 0.5057 data_time: 0.0307 memory: 18104 grad_norm: 5.4060 loss: 2.8399 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.6074 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.2325 2023/02/02 22:08:59 - mmengine - INFO - Epoch(train) [207][ 380/1879] lr: 1.1910e-02 eta: 13:24:00 time: 0.5109 data_time: 0.0366 memory: 18104 grad_norm: 5.4157 loss: 3.0256 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7519 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.2737 2023/02/02 22:09:09 - mmengine - INFO - Epoch(train) [207][ 400/1879] lr: 1.1905e-02 eta: 13:23:50 time: 0.5018 data_time: 0.0375 memory: 18104 grad_norm: 5.5308 loss: 2.7921 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.5672 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.2249 2023/02/02 22:09:19 - mmengine - INFO - Epoch(train) [207][ 420/1879] lr: 1.1900e-02 eta: 13:23:39 time: 0.5106 data_time: 0.0371 memory: 18104 grad_norm: 5.5213 loss: 2.5691 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4163 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.1528 2023/02/02 22:09:29 - mmengine - INFO - Epoch(train) [207][ 440/1879] lr: 1.1895e-02 eta: 13:23:28 time: 0.5038 data_time: 0.0318 memory: 18104 grad_norm: 5.4872 loss: 2.9265 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7472 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.1793 2023/02/02 22:09:40 - mmengine - INFO - Epoch(train) [207][ 460/1879] lr: 1.1891e-02 eta: 13:23:18 time: 0.5195 data_time: 0.0366 memory: 18104 grad_norm: 5.7343 loss: 3.1734 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9411 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.2323 2023/02/02 22:09:50 - mmengine - INFO - Epoch(train) [207][ 480/1879] lr: 1.1886e-02 eta: 13:23:07 time: 0.4958 data_time: 0.0371 memory: 18104 grad_norm: 5.4599 loss: 2.8765 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7297 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.1468 2023/02/02 22:10:00 - mmengine - INFO - Epoch(train) [207][ 500/1879] lr: 1.1881e-02 eta: 13:22:57 time: 0.5191 data_time: 0.0377 memory: 18104 grad_norm: 5.4057 loss: 2.9782 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7128 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.2653 2023/02/02 22:10:10 - mmengine - INFO - Epoch(train) [207][ 520/1879] lr: 1.1876e-02 eta: 13:22:47 time: 0.5093 data_time: 0.0311 memory: 18104 grad_norm: 5.5735 loss: 2.7230 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.5205 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.2024 2023/02/02 22:10:20 - mmengine - INFO - Epoch(train) [207][ 540/1879] lr: 1.1871e-02 eta: 13:22:36 time: 0.5131 data_time: 0.0377 memory: 18104 grad_norm: 5.5528 loss: 2.9561 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.7299 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.2262 2023/02/02 22:10:31 - mmengine - INFO - Epoch(train) [207][ 560/1879] lr: 1.1866e-02 eta: 13:22:26 time: 0.5109 data_time: 0.0340 memory: 18104 grad_norm: 5.6116 loss: 2.8839 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.7047 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.1792 2023/02/02 22:10:41 - mmengine - INFO - Epoch(train) [207][ 580/1879] lr: 1.1861e-02 eta: 13:22:16 time: 0.5238 data_time: 0.0376 memory: 18104 grad_norm: 5.5986 loss: 2.9691 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.7329 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.2362 2023/02/02 22:10:51 - mmengine - INFO - Epoch(train) [207][ 600/1879] lr: 1.1856e-02 eta: 13:22:05 time: 0.5038 data_time: 0.0314 memory: 18104 grad_norm: 5.5356 loss: 2.8333 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6390 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.1943 2023/02/02 22:11:02 - mmengine - INFO - Epoch(train) [207][ 620/1879] lr: 1.1852e-02 eta: 13:21:55 time: 0.5129 data_time: 0.0443 memory: 18104 grad_norm: 5.4609 loss: 2.9070 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.6247 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.2823 2023/02/02 22:11:12 - mmengine - INFO - Epoch(train) [207][ 640/1879] lr: 1.1847e-02 eta: 13:21:44 time: 0.5129 data_time: 0.0299 memory: 18104 grad_norm: 5.4655 loss: 2.8360 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5969 top1_acc_1: 0.7059 top5_acc_1: 0.9412 loss_cls_1: 1.2391 2023/02/02 22:11:22 - mmengine - INFO - Epoch(train) [207][ 660/1879] lr: 1.1842e-02 eta: 13:21:34 time: 0.5222 data_time: 0.0375 memory: 18104 grad_norm: 5.5185 loss: 2.7405 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.5075 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.2331 2023/02/02 22:11:32 - mmengine - INFO - Epoch(train) [207][ 680/1879] lr: 1.1837e-02 eta: 13:21:23 time: 0.5007 data_time: 0.0394 memory: 18104 grad_norm: 5.6570 loss: 2.9846 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7612 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.2235 2023/02/02 22:11:43 - mmengine - INFO - Epoch(train) [207][ 700/1879] lr: 1.1832e-02 eta: 13:21:13 time: 0.5124 data_time: 0.0364 memory: 18104 grad_norm: 5.5611 loss: 3.0993 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 1.8474 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.2519 2023/02/02 22:11:53 - mmengine - INFO - Epoch(train) [207][ 720/1879] lr: 1.1827e-02 eta: 13:21:03 time: 0.5176 data_time: 0.0316 memory: 18104 grad_norm: 5.4835 loss: 2.8411 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.5903 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.2508 2023/02/02 22:12:03 - mmengine - INFO - Epoch(train) [207][ 740/1879] lr: 1.1822e-02 eta: 13:20:52 time: 0.5143 data_time: 0.0462 memory: 18104 grad_norm: 5.7086 loss: 3.2340 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.9730 top1_acc_1: 0.7412 top5_acc_1: 0.9529 loss_cls_1: 1.2610 2023/02/02 22:12:13 - mmengine - INFO - Epoch(train) [207][ 760/1879] lr: 1.1818e-02 eta: 13:20:42 time: 0.4975 data_time: 0.0306 memory: 18104 grad_norm: 5.5472 loss: 2.6511 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.5448 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.1063 2023/02/02 22:12:24 - mmengine - INFO - Epoch(train) [207][ 780/1879] lr: 1.1813e-02 eta: 13:20:32 time: 0.5310 data_time: 0.0365 memory: 18104 grad_norm: 5.4170 loss: 2.7423 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4886 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.2536 2023/02/02 22:12:34 - mmengine - INFO - Epoch(train) [207][ 800/1879] lr: 1.1808e-02 eta: 13:20:21 time: 0.4983 data_time: 0.0305 memory: 18104 grad_norm: 5.4333 loss: 2.9087 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.6671 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.2417 2023/02/02 22:12:44 - mmengine - INFO - Epoch(train) [207][ 820/1879] lr: 1.1803e-02 eta: 13:20:11 time: 0.5121 data_time: 0.0452 memory: 18104 grad_norm: 5.4418 loss: 2.7464 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.5336 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.2128 2023/02/02 22:12:54 - mmengine - INFO - Epoch(train) [207][ 840/1879] lr: 1.1798e-02 eta: 13:20:00 time: 0.5049 data_time: 0.0306 memory: 18104 grad_norm: 5.4604 loss: 2.9126 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 1.7250 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.1877 2023/02/02 22:13:05 - mmengine - INFO - Epoch(train) [207][ 860/1879] lr: 1.1793e-02 eta: 13:19:50 time: 0.5209 data_time: 0.0387 memory: 18104 grad_norm: 5.5720 loss: 2.8783 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.6772 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 1.2011 2023/02/02 22:13:15 - mmengine - INFO - Epoch(train) [207][ 880/1879] lr: 1.1788e-02 eta: 13:19:39 time: 0.5017 data_time: 0.0383 memory: 18104 grad_norm: 5.4102 loss: 2.7949 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.5522 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.2427 2023/02/02 22:13:25 - mmengine - INFO - Epoch(train) [207][ 900/1879] lr: 1.1784e-02 eta: 13:19:29 time: 0.5099 data_time: 0.0386 memory: 18104 grad_norm: 5.5425 loss: 2.7737 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5658 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.2079 2023/02/02 22:13:35 - mmengine - INFO - Epoch(train) [207][ 920/1879] lr: 1.1779e-02 eta: 13:19:18 time: 0.5143 data_time: 0.0318 memory: 18104 grad_norm: 5.6556 loss: 2.8815 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7304 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.1512 2023/02/02 22:13:39 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 22:13:46 - mmengine - INFO - Epoch(train) [207][ 940/1879] lr: 1.1774e-02 eta: 13:19:08 time: 0.5239 data_time: 0.0373 memory: 18104 grad_norm: 5.5898 loss: 2.9276 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7061 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.2215 2023/02/02 22:13:56 - mmengine - INFO - Epoch(train) [207][ 960/1879] lr: 1.1769e-02 eta: 13:18:58 time: 0.5060 data_time: 0.0298 memory: 18104 grad_norm: 5.5128 loss: 2.7617 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.6360 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.1257 2023/02/02 22:14:07 - mmengine - INFO - Epoch(train) [207][ 980/1879] lr: 1.1764e-02 eta: 13:18:48 time: 0.5299 data_time: 0.0388 memory: 18104 grad_norm: 5.5647 loss: 2.8703 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.7049 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.1653 2023/02/02 22:14:17 - mmengine - INFO - Epoch(train) [207][1000/1879] lr: 1.1759e-02 eta: 13:18:37 time: 0.5080 data_time: 0.0330 memory: 18104 grad_norm: 5.6217 loss: 2.9368 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.6863 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.2504 2023/02/02 22:14:27 - mmengine - INFO - Epoch(train) [207][1020/1879] lr: 1.1754e-02 eta: 13:18:27 time: 0.5215 data_time: 0.0334 memory: 18104 grad_norm: 5.5921 loss: 2.9232 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.7437 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.1795 2023/02/02 22:14:38 - mmengine - INFO - Epoch(train) [207][1040/1879] lr: 1.1750e-02 eta: 13:18:17 time: 0.5218 data_time: 0.0333 memory: 18104 grad_norm: 5.6049 loss: 2.8852 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6832 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.2020 2023/02/02 22:14:48 - mmengine - INFO - Epoch(train) [207][1060/1879] lr: 1.1745e-02 eta: 13:18:06 time: 0.5013 data_time: 0.0339 memory: 18104 grad_norm: 5.5752 loss: 2.9518 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.7054 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.2464 2023/02/02 22:14:58 - mmengine - INFO - Epoch(train) [207][1080/1879] lr: 1.1740e-02 eta: 13:17:56 time: 0.5091 data_time: 0.0407 memory: 18104 grad_norm: 5.5269 loss: 2.9819 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6873 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.2946 2023/02/02 22:15:09 - mmengine - INFO - Epoch(train) [207][1100/1879] lr: 1.1735e-02 eta: 13:17:46 time: 0.5304 data_time: 0.0348 memory: 18104 grad_norm: 5.6674 loss: 2.8594 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.6388 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2206 2023/02/02 22:15:19 - mmengine - INFO - Epoch(train) [207][1120/1879] lr: 1.1730e-02 eta: 13:17:35 time: 0.5053 data_time: 0.0341 memory: 18104 grad_norm: 5.5596 loss: 3.0156 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.7780 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.2375 2023/02/02 22:15:29 - mmengine - INFO - Epoch(train) [207][1140/1879] lr: 1.1725e-02 eta: 13:17:25 time: 0.5101 data_time: 0.0398 memory: 18104 grad_norm: 5.5144 loss: 2.8549 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7026 top1_acc_1: 0.6000 top5_acc_1: 0.8824 loss_cls_1: 1.1524 2023/02/02 22:15:39 - mmengine - INFO - Epoch(train) [207][1160/1879] lr: 1.1720e-02 eta: 13:17:15 time: 0.5190 data_time: 0.0333 memory: 18104 grad_norm: 5.6979 loss: 3.0836 top1_acc_0: 0.2500 top5_acc_0: 0.5000 loss_cls_0: 1.8655 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.2181 2023/02/02 22:15:50 - mmengine - INFO - Epoch(train) [207][1180/1879] lr: 1.1716e-02 eta: 13:17:04 time: 0.5242 data_time: 0.0334 memory: 18104 grad_norm: 5.5454 loss: 2.6840 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5909 top1_acc_1: 0.6941 top5_acc_1: 0.9412 loss_cls_1: 1.0931 2023/02/02 22:16:00 - mmengine - INFO - Epoch(train) [207][1200/1879] lr: 1.1711e-02 eta: 13:16:54 time: 0.5028 data_time: 0.0336 memory: 18104 grad_norm: 5.4631 loss: 2.9132 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.6471 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 1.2661 2023/02/02 22:16:10 - mmengine - INFO - Epoch(train) [207][1220/1879] lr: 1.1706e-02 eta: 13:16:44 time: 0.5211 data_time: 0.0404 memory: 18104 grad_norm: 5.3804 loss: 2.7533 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5386 top1_acc_1: 0.6000 top5_acc_1: 0.8000 loss_cls_1: 1.2147 2023/02/02 22:16:21 - mmengine - INFO - Epoch(train) [207][1240/1879] lr: 1.1701e-02 eta: 13:16:34 time: 0.5216 data_time: 0.0337 memory: 18104 grad_norm: 5.5108 loss: 2.6780 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4394 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.2385 2023/02/02 22:16:31 - mmengine - INFO - Epoch(train) [207][1260/1879] lr: 1.1696e-02 eta: 13:16:23 time: 0.5119 data_time: 0.0355 memory: 18104 grad_norm: 5.6082 loss: 2.6052 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4994 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.1058 2023/02/02 22:16:41 - mmengine - INFO - Epoch(train) [207][1280/1879] lr: 1.1691e-02 eta: 13:16:12 time: 0.5047 data_time: 0.0410 memory: 18104 grad_norm: 5.5094 loss: 2.9889 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.7339 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.2550 2023/02/02 22:16:52 - mmengine - INFO - Epoch(train) [207][1300/1879] lr: 1.1687e-02 eta: 13:16:03 time: 0.5267 data_time: 0.0354 memory: 18104 grad_norm: 5.5938 loss: 2.8264 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.6125 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.2139 2023/02/02 22:17:02 - mmengine - INFO - Epoch(train) [207][1320/1879] lr: 1.1682e-02 eta: 13:15:52 time: 0.5116 data_time: 0.0324 memory: 18104 grad_norm: 5.6763 loss: 2.7614 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5554 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.2061 2023/02/02 22:17:12 - mmengine - INFO - Epoch(train) [207][1340/1879] lr: 1.1677e-02 eta: 13:15:41 time: 0.4962 data_time: 0.0348 memory: 18104 grad_norm: 5.5942 loss: 2.7802 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6349 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.1453 2023/02/02 22:17:22 - mmengine - INFO - Epoch(train) [207][1360/1879] lr: 1.1672e-02 eta: 13:15:31 time: 0.5227 data_time: 0.0396 memory: 18104 grad_norm: 5.5020 loss: 2.9206 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.6913 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.2292 2023/02/02 22:17:33 - mmengine - INFO - Epoch(train) [207][1380/1879] lr: 1.1667e-02 eta: 13:15:21 time: 0.5156 data_time: 0.0359 memory: 18104 grad_norm: 5.4571 loss: 2.9273 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6478 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.2795 2023/02/02 22:17:43 - mmengine - INFO - Epoch(train) [207][1400/1879] lr: 1.1662e-02 eta: 13:15:10 time: 0.4935 data_time: 0.0324 memory: 18104 grad_norm: 5.4607 loss: 2.9032 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6719 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.2313 2023/02/02 22:17:53 - mmengine - INFO - Epoch(train) [207][1420/1879] lr: 1.1658e-02 eta: 13:14:59 time: 0.5043 data_time: 0.0361 memory: 18104 grad_norm: 5.4628 loss: 2.9640 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7707 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.1933 2023/02/02 22:18:03 - mmengine - INFO - Epoch(train) [207][1440/1879] lr: 1.1653e-02 eta: 13:14:49 time: 0.5162 data_time: 0.0335 memory: 18104 grad_norm: 5.5661 loss: 2.8617 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.6349 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.2268 2023/02/02 22:18:14 - mmengine - INFO - Epoch(train) [207][1460/1879] lr: 1.1648e-02 eta: 13:14:39 time: 0.5263 data_time: 0.0354 memory: 18104 grad_norm: 5.4076 loss: 2.8275 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.6556 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.1719 2023/02/02 22:18:24 - mmengine - INFO - Epoch(train) [207][1480/1879] lr: 1.1643e-02 eta: 13:14:28 time: 0.5029 data_time: 0.0367 memory: 18104 grad_norm: 5.5163 loss: 2.8886 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6446 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.2440 2023/02/02 22:18:34 - mmengine - INFO - Epoch(train) [207][1500/1879] lr: 1.1638e-02 eta: 13:14:18 time: 0.5124 data_time: 0.0446 memory: 18104 grad_norm: 5.6220 loss: 2.7719 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.5915 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.1805 2023/02/02 22:18:44 - mmengine - INFO - Epoch(train) [207][1520/1879] lr: 1.1633e-02 eta: 13:14:08 time: 0.5194 data_time: 0.0323 memory: 18104 grad_norm: 5.7760 loss: 2.8898 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.6413 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.2486 2023/02/02 22:18:55 - mmengine - INFO - Epoch(train) [207][1540/1879] lr: 1.1629e-02 eta: 13:13:57 time: 0.5069 data_time: 0.0353 memory: 18104 grad_norm: 5.5425 loss: 2.8648 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7024 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 1.1624 2023/02/02 22:19:05 - mmengine - INFO - Epoch(train) [207][1560/1879] lr: 1.1624e-02 eta: 13:13:47 time: 0.5217 data_time: 0.0431 memory: 18104 grad_norm: 5.5223 loss: 3.0670 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.7984 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.2686 2023/02/02 22:19:16 - mmengine - INFO - Epoch(train) [207][1580/1879] lr: 1.1619e-02 eta: 13:13:37 time: 0.5261 data_time: 0.0353 memory: 18104 grad_norm: 5.6497 loss: 3.0083 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.8329 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.1754 2023/02/02 22:19:26 - mmengine - INFO - Epoch(train) [207][1600/1879] lr: 1.1614e-02 eta: 13:13:27 time: 0.5135 data_time: 0.0365 memory: 18104 grad_norm: 5.6231 loss: 3.0470 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8212 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.2258 2023/02/02 22:19:36 - mmengine - INFO - Epoch(train) [207][1620/1879] lr: 1.1609e-02 eta: 13:13:16 time: 0.5120 data_time: 0.0348 memory: 18104 grad_norm: 5.6179 loss: 3.0112 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.7152 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.2960 2023/02/02 22:19:46 - mmengine - INFO - Epoch(train) [207][1640/1879] lr: 1.1604e-02 eta: 13:13:06 time: 0.5171 data_time: 0.0403 memory: 18104 grad_norm: 5.5385 loss: 3.0067 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7943 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.2125 2023/02/02 22:19:57 - mmengine - INFO - Epoch(train) [207][1660/1879] lr: 1.1600e-02 eta: 13:12:56 time: 0.5166 data_time: 0.0346 memory: 18104 grad_norm: 5.6987 loss: 2.9021 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6051 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.2971 2023/02/02 22:20:07 - mmengine - INFO - Epoch(train) [207][1680/1879] lr: 1.1595e-02 eta: 13:12:45 time: 0.5040 data_time: 0.0324 memory: 18104 grad_norm: 5.7093 loss: 3.0702 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8086 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.2616 2023/02/02 22:20:17 - mmengine - INFO - Epoch(train) [207][1700/1879] lr: 1.1590e-02 eta: 13:12:35 time: 0.5116 data_time: 0.0458 memory: 18104 grad_norm: 5.5389 loss: 2.8585 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.6690 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.1895 2023/02/02 22:20:28 - mmengine - INFO - Epoch(train) [207][1720/1879] lr: 1.1585e-02 eta: 13:12:25 time: 0.5240 data_time: 0.0320 memory: 18104 grad_norm: 5.5667 loss: 2.9263 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6390 top1_acc_1: 0.6588 top5_acc_1: 0.9176 loss_cls_1: 1.2873 2023/02/02 22:20:38 - mmengine - INFO - Epoch(train) [207][1740/1879] lr: 1.1580e-02 eta: 13:12:14 time: 0.5174 data_time: 0.0364 memory: 18104 grad_norm: 5.7383 loss: 3.0513 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.8336 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.2177 2023/02/02 22:20:49 - mmengine - INFO - Epoch(train) [207][1760/1879] lr: 1.1575e-02 eta: 13:12:04 time: 0.5295 data_time: 0.0395 memory: 18104 grad_norm: 5.4233 loss: 2.9511 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6981 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 1.2530 2023/02/02 22:20:59 - mmengine - INFO - Epoch(train) [207][1780/1879] lr: 1.1571e-02 eta: 13:11:54 time: 0.5182 data_time: 0.0331 memory: 18104 grad_norm: 5.5578 loss: 2.8728 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.5733 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.2996 2023/02/02 22:21:10 - mmengine - INFO - Epoch(train) [207][1800/1879] lr: 1.1566e-02 eta: 13:11:44 time: 0.5260 data_time: 0.0336 memory: 18104 grad_norm: 5.5518 loss: 2.8052 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5965 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.2087 2023/02/02 22:21:20 - mmengine - INFO - Epoch(train) [207][1820/1879] lr: 1.1561e-02 eta: 13:11:34 time: 0.5342 data_time: 0.0354 memory: 18104 grad_norm: 5.4726 loss: 2.5885 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3171 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.2714 2023/02/02 22:21:31 - mmengine - INFO - Epoch(train) [207][1840/1879] lr: 1.1556e-02 eta: 13:11:24 time: 0.5238 data_time: 0.0408 memory: 18104 grad_norm: 5.5620 loss: 2.8656 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.6488 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.2168 2023/02/02 22:21:41 - mmengine - INFO - Epoch(train) [207][1860/1879] lr: 1.1551e-02 eta: 13:11:14 time: 0.5228 data_time: 0.0344 memory: 18104 grad_norm: 5.5838 loss: 2.8999 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7265 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.1734 2023/02/02 22:21:51 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 22:21:51 - mmengine - INFO - Epoch(train) [207][1879/1879] lr: 1.1547e-02 eta: 13:11:04 time: 0.5010 data_time: 0.0298 memory: 18104 grad_norm: 5.5999 loss: 2.7687 top1_acc_0: 0.5714 top5_acc_0: 0.8571 loss_cls_0: 1.5750 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.1937 2023/02/02 22:22:06 - mmengine - INFO - Epoch(train) [208][ 20/1879] lr: 1.1542e-02 eta: 13:10:59 time: 0.7103 data_time: 0.2583 memory: 18104 grad_norm: 5.5639 loss: 3.0250 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7969 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.2281 2023/02/02 22:22:15 - mmengine - INFO - Epoch(train) [208][ 40/1879] lr: 1.1537e-02 eta: 13:10:48 time: 0.4788 data_time: 0.0325 memory: 18104 grad_norm: 5.5445 loss: 2.8619 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.6608 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.2011 2023/02/02 22:22:19 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 22:22:25 - mmengine - INFO - Epoch(train) [208][ 60/1879] lr: 1.1532e-02 eta: 13:10:37 time: 0.4912 data_time: 0.0385 memory: 18104 grad_norm: 5.4898 loss: 2.6584 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.4566 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.2018 2023/02/02 22:22:36 - mmengine - INFO - Epoch(train) [208][ 80/1879] lr: 1.1528e-02 eta: 13:10:27 time: 0.5321 data_time: 0.0364 memory: 18104 grad_norm: 5.5183 loss: 2.8537 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.5998 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.2539 2023/02/02 22:22:46 - mmengine - INFO - Epoch(train) [208][ 100/1879] lr: 1.1523e-02 eta: 13:10:16 time: 0.4915 data_time: 0.0387 memory: 18104 grad_norm: 5.2656 loss: 2.6474 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5220 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.1255 2023/02/02 22:22:55 - mmengine - INFO - Epoch(train) [208][ 120/1879] lr: 1.1518e-02 eta: 13:10:05 time: 0.4928 data_time: 0.0311 memory: 18104 grad_norm: 5.4949 loss: 2.8537 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.6995 top1_acc_1: 0.6000 top5_acc_1: 0.8588 loss_cls_1: 1.1542 2023/02/02 22:23:06 - mmengine - INFO - Epoch(train) [208][ 140/1879] lr: 1.1513e-02 eta: 13:09:54 time: 0.5081 data_time: 0.0424 memory: 18104 grad_norm: 5.4959 loss: 2.7876 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6368 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.1507 2023/02/02 22:23:16 - mmengine - INFO - Epoch(train) [208][ 160/1879] lr: 1.1508e-02 eta: 13:09:44 time: 0.5213 data_time: 0.0293 memory: 18104 grad_norm: 5.6678 loss: 2.6524 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4575 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.1949 2023/02/02 22:23:26 - mmengine - INFO - Epoch(train) [208][ 180/1879] lr: 1.1504e-02 eta: 13:09:33 time: 0.4983 data_time: 0.0392 memory: 18104 grad_norm: 5.5481 loss: 2.7879 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.5380 top1_acc_1: 0.6235 top5_acc_1: 0.8941 loss_cls_1: 1.2499 2023/02/02 22:23:36 - mmengine - INFO - Epoch(train) [208][ 200/1879] lr: 1.1499e-02 eta: 13:09:23 time: 0.5032 data_time: 0.0305 memory: 18104 grad_norm: 5.6534 loss: 3.0647 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7791 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.2856 2023/02/02 22:23:47 - mmengine - INFO - Epoch(train) [208][ 220/1879] lr: 1.1494e-02 eta: 13:09:13 time: 0.5377 data_time: 0.0444 memory: 18104 grad_norm: 5.6172 loss: 2.9539 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.8036 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 1.1503 2023/02/02 22:23:57 - mmengine - INFO - Epoch(train) [208][ 240/1879] lr: 1.1489e-02 eta: 13:09:02 time: 0.5001 data_time: 0.0303 memory: 18104 grad_norm: 5.4796 loss: 2.9060 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7266 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.1795 2023/02/02 22:24:07 - mmengine - INFO - Epoch(train) [208][ 260/1879] lr: 1.1484e-02 eta: 13:08:51 time: 0.4962 data_time: 0.0347 memory: 18104 grad_norm: 5.4311 loss: 2.6715 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4754 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.1962 2023/02/02 22:24:17 - mmengine - INFO - Epoch(train) [208][ 280/1879] lr: 1.1480e-02 eta: 13:08:41 time: 0.5207 data_time: 0.0369 memory: 18104 grad_norm: 5.4899 loss: 2.7435 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.5518 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 1.1916 2023/02/02 22:24:28 - mmengine - INFO - Epoch(train) [208][ 300/1879] lr: 1.1475e-02 eta: 13:08:31 time: 0.5173 data_time: 0.0385 memory: 18104 grad_norm: 5.5035 loss: 2.6331 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.4305 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.2026 2023/02/02 22:24:38 - mmengine - INFO - Epoch(train) [208][ 320/1879] lr: 1.1470e-02 eta: 13:08:20 time: 0.4978 data_time: 0.0295 memory: 18104 grad_norm: 5.5676 loss: 2.9793 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6472 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 1.3321 2023/02/02 22:24:48 - mmengine - INFO - Epoch(train) [208][ 340/1879] lr: 1.1465e-02 eta: 13:08:10 time: 0.5154 data_time: 0.0421 memory: 18104 grad_norm: 5.4831 loss: 2.8605 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.7031 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 1.1574 2023/02/02 22:24:58 - mmengine - INFO - Epoch(train) [208][ 360/1879] lr: 1.1460e-02 eta: 13:07:59 time: 0.5057 data_time: 0.0303 memory: 18104 grad_norm: 5.5817 loss: 2.9444 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6877 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.2567 2023/02/02 22:25:08 - mmengine - INFO - Epoch(train) [208][ 380/1879] lr: 1.1456e-02 eta: 13:07:49 time: 0.5060 data_time: 0.0356 memory: 18104 grad_norm: 5.4639 loss: 2.6819 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.4721 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.2098 2023/02/02 22:25:19 - mmengine - INFO - Epoch(train) [208][ 400/1879] lr: 1.1451e-02 eta: 13:07:38 time: 0.5089 data_time: 0.0301 memory: 18104 grad_norm: 5.6006 loss: 3.0635 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7804 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.2831 2023/02/02 22:25:29 - mmengine - INFO - Epoch(train) [208][ 420/1879] lr: 1.1446e-02 eta: 13:07:28 time: 0.5120 data_time: 0.0437 memory: 18104 grad_norm: 5.5793 loss: 2.7669 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5833 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.1836 2023/02/02 22:25:39 - mmengine - INFO - Epoch(train) [208][ 440/1879] lr: 1.1441e-02 eta: 13:07:17 time: 0.5096 data_time: 0.0304 memory: 18104 grad_norm: 5.4878 loss: 2.9936 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.8265 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.1671 2023/02/02 22:25:49 - mmengine - INFO - Epoch(train) [208][ 460/1879] lr: 1.1436e-02 eta: 13:07:07 time: 0.5016 data_time: 0.0373 memory: 18104 grad_norm: 5.5249 loss: 2.6897 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4382 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.2515 2023/02/02 22:25:59 - mmengine - INFO - Epoch(train) [208][ 480/1879] lr: 1.1432e-02 eta: 13:06:56 time: 0.5093 data_time: 0.0364 memory: 18104 grad_norm: 5.5842 loss: 2.7863 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5547 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.2316 2023/02/02 22:26:09 - mmengine - INFO - Epoch(train) [208][ 500/1879] lr: 1.1427e-02 eta: 13:06:46 time: 0.5000 data_time: 0.0387 memory: 18104 grad_norm: 5.5884 loss: 2.7969 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.6081 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.1888 2023/02/02 22:26:19 - mmengine - INFO - Epoch(train) [208][ 520/1879] lr: 1.1422e-02 eta: 13:06:35 time: 0.5045 data_time: 0.0303 memory: 18104 grad_norm: 5.4687 loss: 2.9440 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.7294 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.2146 2023/02/02 22:26:30 - mmengine - INFO - Epoch(train) [208][ 540/1879] lr: 1.1417e-02 eta: 13:06:25 time: 0.5134 data_time: 0.0439 memory: 18104 grad_norm: 5.5162 loss: 2.7745 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.5960 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.1785 2023/02/02 22:26:40 - mmengine - INFO - Epoch(train) [208][ 560/1879] lr: 1.1412e-02 eta: 13:06:14 time: 0.4990 data_time: 0.0293 memory: 18104 grad_norm: 5.5246 loss: 2.8244 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.6165 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.2079 2023/02/02 22:26:50 - mmengine - INFO - Epoch(train) [208][ 580/1879] lr: 1.1408e-02 eta: 13:06:03 time: 0.4983 data_time: 0.0385 memory: 18104 grad_norm: 5.7031 loss: 2.7552 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 1.6085 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.1467 2023/02/02 22:27:00 - mmengine - INFO - Epoch(train) [208][ 600/1879] lr: 1.1403e-02 eta: 13:05:53 time: 0.5179 data_time: 0.0295 memory: 18104 grad_norm: 5.7634 loss: 2.9581 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8042 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.1539 2023/02/02 22:27:10 - mmengine - INFO - Epoch(train) [208][ 620/1879] lr: 1.1398e-02 eta: 13:05:43 time: 0.5191 data_time: 0.0455 memory: 18104 grad_norm: 5.5063 loss: 2.9178 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7510 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.1668 2023/02/02 22:27:21 - mmengine - INFO - Epoch(train) [208][ 640/1879] lr: 1.1393e-02 eta: 13:05:32 time: 0.5009 data_time: 0.0299 memory: 18104 grad_norm: 5.7038 loss: 2.6771 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5439 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.1332 2023/02/02 22:27:31 - mmengine - INFO - Epoch(train) [208][ 660/1879] lr: 1.1388e-02 eta: 13:05:22 time: 0.5235 data_time: 0.0387 memory: 18104 grad_norm: 5.6604 loss: 2.7995 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6199 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.1796 2023/02/02 22:27:41 - mmengine - INFO - Epoch(train) [208][ 680/1879] lr: 1.1384e-02 eta: 13:05:11 time: 0.5037 data_time: 0.0306 memory: 18104 grad_norm: 5.6044 loss: 2.8818 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6522 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.2296 2023/02/02 22:27:51 - mmengine - INFO - Epoch(train) [208][ 700/1879] lr: 1.1379e-02 eta: 13:05:01 time: 0.5140 data_time: 0.0373 memory: 18104 grad_norm: 5.7689 loss: 2.8033 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.6060 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.1973 2023/02/02 22:28:02 - mmengine - INFO - Epoch(train) [208][ 720/1879] lr: 1.1374e-02 eta: 13:04:50 time: 0.5098 data_time: 0.0310 memory: 18104 grad_norm: 5.5657 loss: 2.8187 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.6588 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.1598 2023/02/02 22:28:12 - mmengine - INFO - Epoch(train) [208][ 740/1879] lr: 1.1369e-02 eta: 13:04:40 time: 0.5183 data_time: 0.0374 memory: 18104 grad_norm: 5.5517 loss: 2.9488 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.6606 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.2882 2023/02/02 22:28:22 - mmengine - INFO - Epoch(train) [208][ 760/1879] lr: 1.1365e-02 eta: 13:04:29 time: 0.5047 data_time: 0.0385 memory: 18104 grad_norm: 5.4936 loss: 2.8923 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7298 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 1.1625 2023/02/02 22:28:32 - mmengine - INFO - Epoch(train) [208][ 780/1879] lr: 1.1360e-02 eta: 13:04:19 time: 0.5072 data_time: 0.0365 memory: 18104 grad_norm: 5.5521 loss: 2.8288 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.6110 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.2179 2023/02/02 22:28:43 - mmengine - INFO - Epoch(train) [208][ 800/1879] lr: 1.1355e-02 eta: 13:04:09 time: 0.5156 data_time: 0.0294 memory: 18104 grad_norm: 5.6428 loss: 2.8596 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6693 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.1903 2023/02/02 22:28:53 - mmengine - INFO - Epoch(train) [208][ 820/1879] lr: 1.1350e-02 eta: 13:03:58 time: 0.5028 data_time: 0.0362 memory: 18104 grad_norm: 5.5442 loss: 3.0268 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.8156 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.2112 2023/02/02 22:29:03 - mmengine - INFO - Epoch(train) [208][ 840/1879] lr: 1.1345e-02 eta: 13:03:47 time: 0.5084 data_time: 0.0306 memory: 18104 grad_norm: 5.6270 loss: 2.5244 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.4347 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 1.0897 2023/02/02 22:29:13 - mmengine - INFO - Epoch(train) [208][ 860/1879] lr: 1.1341e-02 eta: 13:03:37 time: 0.5126 data_time: 0.0357 memory: 18104 grad_norm: 5.4884 loss: 2.7262 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.5103 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2159 2023/02/02 22:29:23 - mmengine - INFO - Epoch(train) [208][ 880/1879] lr: 1.1336e-02 eta: 13:03:27 time: 0.5122 data_time: 0.0315 memory: 18104 grad_norm: 5.4834 loss: 2.9092 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.7178 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.1913 2023/02/02 22:29:34 - mmengine - INFO - Epoch(train) [208][ 900/1879] lr: 1.1331e-02 eta: 13:03:16 time: 0.5127 data_time: 0.0437 memory: 18104 grad_norm: 5.4738 loss: 2.8313 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 1.5781 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.2532 2023/02/02 22:29:44 - mmengine - INFO - Epoch(train) [208][ 920/1879] lr: 1.1326e-02 eta: 13:03:06 time: 0.5204 data_time: 0.0333 memory: 18104 grad_norm: 5.4363 loss: 2.6930 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.5304 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.1626 2023/02/02 22:29:54 - mmengine - INFO - Epoch(train) [208][ 940/1879] lr: 1.1322e-02 eta: 13:02:56 time: 0.5092 data_time: 0.0387 memory: 18104 grad_norm: 5.4940 loss: 2.9939 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.8279 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.1660 2023/02/02 22:30:05 - mmengine - INFO - Epoch(train) [208][ 960/1879] lr: 1.1317e-02 eta: 13:02:45 time: 0.5067 data_time: 0.0319 memory: 18104 grad_norm: 5.6480 loss: 2.8640 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.7191 top1_acc_1: 0.7647 top5_acc_1: 0.8588 loss_cls_1: 1.1449 2023/02/02 22:30:15 - mmengine - INFO - Epoch(train) [208][ 980/1879] lr: 1.1312e-02 eta: 13:02:35 time: 0.5116 data_time: 0.0475 memory: 18104 grad_norm: 5.5095 loss: 2.8766 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.6050 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.2716 2023/02/02 22:30:25 - mmengine - INFO - Epoch(train) [208][1000/1879] lr: 1.1307e-02 eta: 13:02:24 time: 0.5053 data_time: 0.0266 memory: 18104 grad_norm: 5.6631 loss: 3.1958 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.9535 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.2423 2023/02/02 22:30:35 - mmengine - INFO - Epoch(train) [208][1020/1879] lr: 1.1302e-02 eta: 13:02:13 time: 0.5018 data_time: 0.0393 memory: 18104 grad_norm: 5.6438 loss: 3.1741 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.9206 top1_acc_1: 0.6471 top5_acc_1: 0.9176 loss_cls_1: 1.2536 2023/02/02 22:30:45 - mmengine - INFO - Epoch(train) [208][1040/1879] lr: 1.1298e-02 eta: 13:02:03 time: 0.5123 data_time: 0.0379 memory: 18104 grad_norm: 5.5420 loss: 2.6485 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.4846 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.1639 2023/02/02 22:30:49 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 22:30:55 - mmengine - INFO - Epoch(train) [208][1060/1879] lr: 1.1293e-02 eta: 13:01:52 time: 0.5044 data_time: 0.0383 memory: 18104 grad_norm: 5.6846 loss: 2.9868 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7634 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.2235 2023/02/02 22:31:06 - mmengine - INFO - Epoch(train) [208][1080/1879] lr: 1.1288e-02 eta: 13:01:42 time: 0.5156 data_time: 0.0286 memory: 18104 grad_norm: 5.7169 loss: 3.0385 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7919 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.2466 2023/02/02 22:31:16 - mmengine - INFO - Epoch(train) [208][1100/1879] lr: 1.1283e-02 eta: 13:01:31 time: 0.5046 data_time: 0.0377 memory: 18104 grad_norm: 5.5942 loss: 2.8413 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.6737 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.1676 2023/02/02 22:31:26 - mmengine - INFO - Epoch(train) [208][1120/1879] lr: 1.1279e-02 eta: 13:01:21 time: 0.5074 data_time: 0.0293 memory: 18104 grad_norm: 5.5947 loss: 2.8127 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.6176 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.1951 2023/02/02 22:31:36 - mmengine - INFO - Epoch(train) [208][1140/1879] lr: 1.1274e-02 eta: 13:01:10 time: 0.5099 data_time: 0.0378 memory: 18104 grad_norm: 5.4465 loss: 2.8980 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7287 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.1693 2023/02/02 22:31:47 - mmengine - INFO - Epoch(train) [208][1160/1879] lr: 1.1269e-02 eta: 13:01:00 time: 0.5237 data_time: 0.0295 memory: 18104 grad_norm: 5.4474 loss: 2.8433 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.6512 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.1921 2023/02/02 22:31:57 - mmengine - INFO - Epoch(train) [208][1180/1879] lr: 1.1264e-02 eta: 13:00:50 time: 0.5063 data_time: 0.0375 memory: 18104 grad_norm: 5.5965 loss: 2.6195 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4651 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.1544 2023/02/02 22:32:07 - mmengine - INFO - Epoch(train) [208][1200/1879] lr: 1.1260e-02 eta: 13:00:40 time: 0.5178 data_time: 0.0300 memory: 18104 grad_norm: 5.4139 loss: 2.9740 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.7369 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.2371 2023/02/02 22:32:18 - mmengine - INFO - Epoch(train) [208][1220/1879] lr: 1.1255e-02 eta: 13:00:29 time: 0.5212 data_time: 0.0442 memory: 18104 grad_norm: 5.5938 loss: 2.7752 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5741 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.2012 2023/02/02 22:32:28 - mmengine - INFO - Epoch(train) [208][1240/1879] lr: 1.1250e-02 eta: 13:00:19 time: 0.5086 data_time: 0.0304 memory: 18104 grad_norm: 5.6964 loss: 2.7020 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.5678 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.1343 2023/02/02 22:32:38 - mmengine - INFO - Epoch(train) [208][1260/1879] lr: 1.1245e-02 eta: 13:00:09 time: 0.5217 data_time: 0.0377 memory: 18104 grad_norm: 5.6261 loss: 3.0027 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.7427 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.2600 2023/02/02 22:32:49 - mmengine - INFO - Epoch(train) [208][1280/1879] lr: 1.1241e-02 eta: 12:59:58 time: 0.5121 data_time: 0.0327 memory: 18104 grad_norm: 5.5920 loss: 3.0945 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8132 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.2813 2023/02/02 22:32:59 - mmengine - INFO - Epoch(train) [208][1300/1879] lr: 1.1236e-02 eta: 12:59:48 time: 0.5117 data_time: 0.0426 memory: 18104 grad_norm: 5.6253 loss: 2.8931 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.6657 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.2273 2023/02/02 22:33:09 - mmengine - INFO - Epoch(train) [208][1320/1879] lr: 1.1231e-02 eta: 12:59:37 time: 0.5085 data_time: 0.0285 memory: 18104 grad_norm: 5.7207 loss: 3.0242 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.7353 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.2889 2023/02/02 22:33:20 - mmengine - INFO - Epoch(train) [208][1340/1879] lr: 1.1226e-02 eta: 12:59:27 time: 0.5230 data_time: 0.0371 memory: 18104 grad_norm: 5.5710 loss: 2.9553 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.7069 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2484 2023/02/02 22:33:30 - mmengine - INFO - Epoch(train) [208][1360/1879] lr: 1.1222e-02 eta: 12:59:17 time: 0.5249 data_time: 0.0378 memory: 18104 grad_norm: 5.7224 loss: 2.7621 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5862 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.1758 2023/02/02 22:33:40 - mmengine - INFO - Epoch(train) [208][1380/1879] lr: 1.1217e-02 eta: 12:59:07 time: 0.5059 data_time: 0.0381 memory: 18104 grad_norm: 5.5704 loss: 2.7194 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5543 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.1651 2023/02/02 22:33:51 - mmengine - INFO - Epoch(train) [208][1400/1879] lr: 1.1212e-02 eta: 12:58:56 time: 0.5163 data_time: 0.0308 memory: 18104 grad_norm: 5.5517 loss: 2.8741 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.6838 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.1904 2023/02/02 22:34:01 - mmengine - INFO - Epoch(train) [208][1420/1879] lr: 1.1207e-02 eta: 12:58:46 time: 0.5127 data_time: 0.0371 memory: 18104 grad_norm: 5.5474 loss: 3.0479 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.8144 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.2335 2023/02/02 22:34:11 - mmengine - INFO - Epoch(train) [208][1440/1879] lr: 1.1203e-02 eta: 12:58:36 time: 0.5158 data_time: 0.0352 memory: 18104 grad_norm: 5.5685 loss: 2.7932 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.5963 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.1969 2023/02/02 22:34:22 - mmengine - INFO - Epoch(train) [208][1460/1879] lr: 1.1198e-02 eta: 12:58:26 time: 0.5239 data_time: 0.0379 memory: 18104 grad_norm: 5.5392 loss: 2.7516 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.5171 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.2346 2023/02/02 22:34:32 - mmengine - INFO - Epoch(train) [208][1480/1879] lr: 1.1193e-02 eta: 12:58:15 time: 0.5152 data_time: 0.0288 memory: 18104 grad_norm: 5.5232 loss: 2.7751 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.5738 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2013 2023/02/02 22:34:42 - mmengine - INFO - Epoch(train) [208][1500/1879] lr: 1.1188e-02 eta: 12:58:05 time: 0.5098 data_time: 0.0421 memory: 18104 grad_norm: 5.6184 loss: 2.7797 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.5887 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.1910 2023/02/02 22:34:53 - mmengine - INFO - Epoch(train) [208][1520/1879] lr: 1.1184e-02 eta: 12:57:55 time: 0.5169 data_time: 0.0290 memory: 18104 grad_norm: 5.5614 loss: 3.0117 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8006 top1_acc_1: 0.6235 top5_acc_1: 0.8824 loss_cls_1: 1.2111 2023/02/02 22:35:03 - mmengine - INFO - Epoch(train) [208][1540/1879] lr: 1.1179e-02 eta: 12:57:45 time: 0.5321 data_time: 0.0346 memory: 18104 grad_norm: 5.7807 loss: 2.9526 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8138 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.1388 2023/02/02 22:35:14 - mmengine - INFO - Epoch(train) [208][1560/1879] lr: 1.1174e-02 eta: 12:57:34 time: 0.5158 data_time: 0.0295 memory: 18104 grad_norm: 5.5658 loss: 2.9147 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.6626 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.2522 2023/02/02 22:35:24 - mmengine - INFO - Epoch(train) [208][1580/1879] lr: 1.1169e-02 eta: 12:57:24 time: 0.5044 data_time: 0.0361 memory: 18104 grad_norm: 5.5778 loss: 2.7913 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6077 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.1836 2023/02/02 22:35:34 - mmengine - INFO - Epoch(train) [208][1600/1879] lr: 1.1165e-02 eta: 12:57:14 time: 0.5132 data_time: 0.0295 memory: 18104 grad_norm: 5.7306 loss: 3.1525 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.9161 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.2363 2023/02/02 22:35:44 - mmengine - INFO - Epoch(train) [208][1620/1879] lr: 1.1160e-02 eta: 12:57:03 time: 0.5180 data_time: 0.0366 memory: 18104 grad_norm: 5.6254 loss: 2.8180 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6587 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.1593 2023/02/02 22:35:55 - mmengine - INFO - Epoch(train) [208][1640/1879] lr: 1.1155e-02 eta: 12:56:53 time: 0.5121 data_time: 0.0362 memory: 18104 grad_norm: 5.5525 loss: 3.0241 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7857 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.2384 2023/02/02 22:36:05 - mmengine - INFO - Epoch(train) [208][1660/1879] lr: 1.1150e-02 eta: 12:56:42 time: 0.5085 data_time: 0.0365 memory: 18104 grad_norm: 5.6777 loss: 2.7374 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5533 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.1841 2023/02/02 22:36:15 - mmengine - INFO - Epoch(train) [208][1680/1879] lr: 1.1146e-02 eta: 12:56:32 time: 0.5305 data_time: 0.0272 memory: 18104 grad_norm: 5.6625 loss: 2.9043 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6915 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.2127 2023/02/02 22:36:26 - mmengine - INFO - Epoch(train) [208][1700/1879] lr: 1.1141e-02 eta: 12:56:22 time: 0.5080 data_time: 0.0441 memory: 18104 grad_norm: 5.5226 loss: 2.7731 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5942 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.1789 2023/02/02 22:36:36 - mmengine - INFO - Epoch(train) [208][1720/1879] lr: 1.1136e-02 eta: 12:56:11 time: 0.5045 data_time: 0.0283 memory: 18104 grad_norm: 5.5757 loss: 2.8597 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6735 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 1.1862 2023/02/02 22:36:46 - mmengine - INFO - Epoch(train) [208][1740/1879] lr: 1.1131e-02 eta: 12:56:01 time: 0.5148 data_time: 0.0379 memory: 18104 grad_norm: 5.6646 loss: 2.9228 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6967 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.2261 2023/02/02 22:36:56 - mmengine - INFO - Epoch(train) [208][1760/1879] lr: 1.1127e-02 eta: 12:55:51 time: 0.5126 data_time: 0.0288 memory: 18104 grad_norm: 5.6964 loss: 2.7634 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6052 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 1.1582 2023/02/02 22:37:07 - mmengine - INFO - Epoch(train) [208][1780/1879] lr: 1.1122e-02 eta: 12:55:40 time: 0.5098 data_time: 0.0458 memory: 18104 grad_norm: 5.6422 loss: 2.9441 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6896 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.2545 2023/02/02 22:37:17 - mmengine - INFO - Epoch(train) [208][1800/1879] lr: 1.1117e-02 eta: 12:55:30 time: 0.5165 data_time: 0.0321 memory: 18104 grad_norm: 5.5786 loss: 2.9784 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.7480 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.2304 2023/02/02 22:37:27 - mmengine - INFO - Epoch(train) [208][1820/1879] lr: 1.1112e-02 eta: 12:55:19 time: 0.5039 data_time: 0.0368 memory: 18104 grad_norm: 5.6075 loss: 2.7611 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5202 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.2409 2023/02/02 22:37:37 - mmengine - INFO - Epoch(train) [208][1840/1879] lr: 1.1108e-02 eta: 12:55:09 time: 0.5118 data_time: 0.0354 memory: 18104 grad_norm: 5.6855 loss: 2.9005 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.6549 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.2456 2023/02/02 22:37:48 - mmengine - INFO - Epoch(train) [208][1860/1879] lr: 1.1103e-02 eta: 12:54:58 time: 0.5112 data_time: 0.0382 memory: 18104 grad_norm: 5.5883 loss: 2.9178 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.7369 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.1809 2023/02/02 22:37:57 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 22:37:57 - mmengine - INFO - Epoch(train) [208][1879/1879] lr: 1.1098e-02 eta: 12:54:48 time: 0.4857 data_time: 0.0279 memory: 18104 grad_norm: 5.7846 loss: 3.0532 top1_acc_0: 0.5714 top5_acc_0: 0.7143 loss_cls_0: 1.8290 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 1.2242 2023/02/02 22:37:57 - mmengine - INFO - Saving checkpoint at 208 epochs 2023/02/02 22:38:08 - mmengine - INFO - Epoch(val) [208][ 20/155] eta: 0:01:02 time: 0.4665 data_time: 0.3532 memory: 1900 2023/02/02 22:38:17 - mmengine - INFO - Epoch(val) [208][ 40/155] eta: 0:00:51 time: 0.4327 data_time: 0.3217 memory: 1900 2023/02/02 22:38:26 - mmengine - INFO - Epoch(val) [208][ 60/155] eta: 0:00:42 time: 0.4343 data_time: 0.3230 memory: 1900 2023/02/02 22:38:35 - mmengine - INFO - Epoch(val) [208][ 80/155] eta: 0:00:33 time: 0.4573 data_time: 0.3452 memory: 1900 2023/02/02 22:38:44 - mmengine - INFO - Epoch(val) [208][100/155] eta: 0:00:24 time: 0.4460 data_time: 0.3348 memory: 1900 2023/02/02 22:38:53 - mmengine - INFO - Epoch(val) [208][120/155] eta: 0:00:15 time: 0.4584 data_time: 0.3477 memory: 1900 2023/02/02 22:39:02 - mmengine - INFO - Epoch(val) [208][140/155] eta: 0:00:06 time: 0.4370 data_time: 0.3253 memory: 1900 2023/02/02 22:39:09 - mmengine - INFO - Epoch(val) [208][155/155] acc/top1: 0.6353 acc/top5: 0.8490 acc/mean1: 0.6351 2023/02/02 22:39:09 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_204.pth is removed 2023/02/02 22:39:11 - mmengine - INFO - The best checkpoint with 0.6353 acc/top1 at 208 epoch is saved to best_acc/top1_epoch_208.pth. 2023/02/02 22:39:25 - mmengine - INFO - Epoch(train) [209][ 20/1879] lr: 1.1094e-02 eta: 12:54:43 time: 0.6982 data_time: 0.2350 memory: 18104 grad_norm: 5.5275 loss: 2.6398 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.4985 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.1413 2023/02/02 22:39:35 - mmengine - INFO - Epoch(train) [209][ 40/1879] lr: 1.1089e-02 eta: 12:54:31 time: 0.4719 data_time: 0.0338 memory: 18104 grad_norm: 5.5473 loss: 2.8958 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.7570 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.1388 2023/02/02 22:39:45 - mmengine - INFO - Epoch(train) [209][ 60/1879] lr: 1.1084e-02 eta: 12:54:21 time: 0.5071 data_time: 0.0360 memory: 18104 grad_norm: 5.4730 loss: 2.8042 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5766 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.2276 2023/02/02 22:39:55 - mmengine - INFO - Epoch(train) [209][ 80/1879] lr: 1.1080e-02 eta: 12:54:10 time: 0.4939 data_time: 0.0423 memory: 18104 grad_norm: 5.6582 loss: 2.7563 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5879 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.1684 2023/02/02 22:40:05 - mmengine - INFO - Epoch(train) [209][ 100/1879] lr: 1.1075e-02 eta: 12:53:59 time: 0.4909 data_time: 0.0383 memory: 18104 grad_norm: 5.6444 loss: 2.9389 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.7813 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.1576 2023/02/02 22:40:15 - mmengine - INFO - Epoch(train) [209][ 120/1879] lr: 1.1070e-02 eta: 12:53:48 time: 0.4861 data_time: 0.0317 memory: 18104 grad_norm: 5.7254 loss: 2.7013 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5614 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.1399 2023/02/02 22:40:26 - mmengine - INFO - Epoch(train) [209][ 140/1879] lr: 1.1065e-02 eta: 12:53:38 time: 0.5496 data_time: 0.0390 memory: 18104 grad_norm: 5.5886 loss: 2.9961 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.7396 top1_acc_1: 0.7059 top5_acc_1: 0.8235 loss_cls_1: 1.2565 2023/02/02 22:40:36 - mmengine - INFO - Epoch(train) [209][ 160/1879] lr: 1.1061e-02 eta: 12:53:27 time: 0.4967 data_time: 0.0341 memory: 18104 grad_norm: 5.6946 loss: 2.8112 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6390 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 1.1722 2023/02/02 22:40:40 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 22:40:46 - mmengine - INFO - Epoch(train) [209][ 180/1879] lr: 1.1056e-02 eta: 12:53:17 time: 0.5029 data_time: 0.0361 memory: 18104 grad_norm: 5.5788 loss: 2.8261 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.6373 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.1888 2023/02/02 22:40:56 - mmengine - INFO - Epoch(train) [209][ 200/1879] lr: 1.1051e-02 eta: 12:53:07 time: 0.5195 data_time: 0.0361 memory: 18104 grad_norm: 5.4840 loss: 2.6655 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.5257 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.1398 2023/02/02 22:41:06 - mmengine - INFO - Epoch(train) [209][ 220/1879] lr: 1.1046e-02 eta: 12:52:56 time: 0.5092 data_time: 0.0419 memory: 18104 grad_norm: 5.5872 loss: 2.7227 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.5395 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.1831 2023/02/02 22:41:16 - mmengine - INFO - Epoch(train) [209][ 240/1879] lr: 1.1042e-02 eta: 12:52:45 time: 0.5044 data_time: 0.0353 memory: 18104 grad_norm: 5.4872 loss: 2.8008 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6224 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.1784 2023/02/02 22:41:27 - mmengine - INFO - Epoch(train) [209][ 260/1879] lr: 1.1037e-02 eta: 12:52:35 time: 0.5090 data_time: 0.0337 memory: 18104 grad_norm: 5.6226 loss: 2.9272 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7047 top1_acc_1: 0.6235 top5_acc_1: 0.8000 loss_cls_1: 1.2225 2023/02/02 22:41:37 - mmengine - INFO - Epoch(train) [209][ 280/1879] lr: 1.1032e-02 eta: 12:52:25 time: 0.5356 data_time: 0.0440 memory: 18104 grad_norm: 5.5258 loss: 2.8819 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.7021 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.1798 2023/02/02 22:41:47 - mmengine - INFO - Epoch(train) [209][ 300/1879] lr: 1.1028e-02 eta: 12:52:15 time: 0.5044 data_time: 0.0344 memory: 18104 grad_norm: 5.5243 loss: 2.7633 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5842 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.1792 2023/02/02 22:41:58 - mmengine - INFO - Epoch(train) [209][ 320/1879] lr: 1.1023e-02 eta: 12:52:04 time: 0.5115 data_time: 0.0354 memory: 18104 grad_norm: 5.5361 loss: 2.8358 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.6490 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.1868 2023/02/02 22:42:09 - mmengine - INFO - Epoch(train) [209][ 340/1879] lr: 1.1018e-02 eta: 12:51:54 time: 0.5381 data_time: 0.0331 memory: 18104 grad_norm: 5.5959 loss: 2.9921 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.7875 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 1.2046 2023/02/02 22:42:19 - mmengine - INFO - Epoch(train) [209][ 360/1879] lr: 1.1013e-02 eta: 12:51:44 time: 0.5068 data_time: 0.0352 memory: 18104 grad_norm: 5.5175 loss: 2.7718 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.5926 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.1792 2023/02/02 22:42:29 - mmengine - INFO - Epoch(train) [209][ 380/1879] lr: 1.1009e-02 eta: 12:51:34 time: 0.5113 data_time: 0.0348 memory: 18104 grad_norm: 5.6989 loss: 2.8504 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7079 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.1425 2023/02/02 22:42:39 - mmengine - INFO - Epoch(train) [209][ 400/1879] lr: 1.1004e-02 eta: 12:51:23 time: 0.5212 data_time: 0.0353 memory: 18104 grad_norm: 5.6565 loss: 2.7507 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.5488 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.2019 2023/02/02 22:42:50 - mmengine - INFO - Epoch(train) [209][ 420/1879] lr: 1.0999e-02 eta: 12:51:13 time: 0.5139 data_time: 0.0337 memory: 18104 grad_norm: 5.6531 loss: 2.7261 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.5204 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.2057 2023/02/02 22:43:00 - mmengine - INFO - Epoch(train) [209][ 440/1879] lr: 1.0995e-02 eta: 12:51:02 time: 0.5028 data_time: 0.0329 memory: 18104 grad_norm: 5.5539 loss: 2.8898 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6702 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.2197 2023/02/02 22:43:10 - mmengine - INFO - Epoch(train) [209][ 460/1879] lr: 1.0990e-02 eta: 12:50:52 time: 0.5037 data_time: 0.0348 memory: 18104 grad_norm: 5.7460 loss: 2.6061 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.4246 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.1815 2023/02/02 22:43:20 - mmengine - INFO - Epoch(train) [209][ 480/1879] lr: 1.0985e-02 eta: 12:50:41 time: 0.5142 data_time: 0.0396 memory: 18104 grad_norm: 5.7127 loss: 2.7280 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5692 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.1589 2023/02/02 22:43:31 - mmengine - INFO - Epoch(train) [209][ 500/1879] lr: 1.0980e-02 eta: 12:50:31 time: 0.5171 data_time: 0.0367 memory: 18104 grad_norm: 5.5868 loss: 2.6259 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.3735 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.2525 2023/02/02 22:43:41 - mmengine - INFO - Epoch(train) [209][ 520/1879] lr: 1.0976e-02 eta: 12:50:21 time: 0.5063 data_time: 0.0338 memory: 18104 grad_norm: 5.6020 loss: 2.9702 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7185 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.2517 2023/02/02 22:43:51 - mmengine - INFO - Epoch(train) [209][ 540/1879] lr: 1.0971e-02 eta: 12:50:10 time: 0.5195 data_time: 0.0401 memory: 18104 grad_norm: 5.6533 loss: 2.9594 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7128 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.2465 2023/02/02 22:44:01 - mmengine - INFO - Epoch(train) [209][ 560/1879] lr: 1.0966e-02 eta: 12:50:00 time: 0.5018 data_time: 0.0325 memory: 18104 grad_norm: 5.6649 loss: 2.8456 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.6595 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.1862 2023/02/02 22:44:12 - mmengine - INFO - Epoch(train) [209][ 580/1879] lr: 1.0962e-02 eta: 12:49:50 time: 0.5290 data_time: 0.0356 memory: 18104 grad_norm: 5.6098 loss: 2.8950 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.7098 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.1852 2023/02/02 22:44:22 - mmengine - INFO - Epoch(train) [209][ 600/1879] lr: 1.0957e-02 eta: 12:49:40 time: 0.5346 data_time: 0.0345 memory: 18104 grad_norm: 5.7236 loss: 2.8979 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.6327 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.2652 2023/02/02 22:44:33 - mmengine - INFO - Epoch(train) [209][ 620/1879] lr: 1.0952e-02 eta: 12:49:30 time: 0.5385 data_time: 0.0411 memory: 18104 grad_norm: 5.6576 loss: 2.9188 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6897 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2291 2023/02/02 22:44:44 - mmengine - INFO - Epoch(train) [209][ 640/1879] lr: 1.0947e-02 eta: 12:49:20 time: 0.5300 data_time: 0.0307 memory: 18104 grad_norm: 5.6454 loss: 2.8419 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.6800 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.1620 2023/02/02 22:44:55 - mmengine - INFO - Epoch(train) [209][ 660/1879] lr: 1.0943e-02 eta: 12:49:11 time: 0.5351 data_time: 0.0399 memory: 18104 grad_norm: 5.5409 loss: 2.7639 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.5468 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.2172 2023/02/02 22:45:06 - mmengine - INFO - Epoch(train) [209][ 680/1879] lr: 1.0938e-02 eta: 12:49:01 time: 0.5454 data_time: 0.0329 memory: 18104 grad_norm: 5.5852 loss: 2.7561 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.5665 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.1896 2023/02/02 22:45:17 - mmengine - INFO - Epoch(train) [209][ 700/1879] lr: 1.0933e-02 eta: 12:48:52 time: 0.5591 data_time: 0.0354 memory: 18104 grad_norm: 5.7150 loss: 2.9395 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7606 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.1789 2023/02/02 22:45:28 - mmengine - INFO - Epoch(train) [209][ 720/1879] lr: 1.0929e-02 eta: 12:48:42 time: 0.5372 data_time: 0.0292 memory: 18104 grad_norm: 5.7068 loss: 2.7162 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.5158 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.2004 2023/02/02 22:45:38 - mmengine - INFO - Epoch(train) [209][ 740/1879] lr: 1.0924e-02 eta: 12:48:33 time: 0.5467 data_time: 0.0422 memory: 18104 grad_norm: 5.6701 loss: 2.7565 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.5773 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.1792 2023/02/02 22:45:49 - mmengine - INFO - Epoch(train) [209][ 760/1879] lr: 1.0919e-02 eta: 12:48:23 time: 0.5421 data_time: 0.0301 memory: 18104 grad_norm: 5.6733 loss: 2.6637 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4765 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.1872 2023/02/02 22:46:00 - mmengine - INFO - Epoch(train) [209][ 780/1879] lr: 1.0915e-02 eta: 12:48:13 time: 0.5394 data_time: 0.0346 memory: 18104 grad_norm: 5.8303 loss: 2.8298 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.6327 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.1972 2023/02/02 22:46:11 - mmengine - INFO - Epoch(train) [209][ 800/1879] lr: 1.0910e-02 eta: 12:48:04 time: 0.5393 data_time: 0.0304 memory: 18104 grad_norm: 5.6047 loss: 2.7263 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.5922 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.1342 2023/02/02 22:46:22 - mmengine - INFO - Epoch(train) [209][ 820/1879] lr: 1.0905e-02 eta: 12:47:54 time: 0.5453 data_time: 0.0429 memory: 18104 grad_norm: 5.6797 loss: 2.7526 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6550 top1_acc_1: 0.8118 top5_acc_1: 0.8941 loss_cls_1: 1.0976 2023/02/02 22:46:32 - mmengine - INFO - Epoch(train) [209][ 840/1879] lr: 1.0901e-02 eta: 12:47:44 time: 0.5247 data_time: 0.0288 memory: 18104 grad_norm: 5.6079 loss: 2.8274 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5972 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 1.2302 2023/02/02 22:46:43 - mmengine - INFO - Epoch(train) [209][ 860/1879] lr: 1.0896e-02 eta: 12:47:34 time: 0.5388 data_time: 0.0351 memory: 18104 grad_norm: 5.6143 loss: 2.6360 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4964 top1_acc_1: 0.5882 top5_acc_1: 0.8706 loss_cls_1: 1.1396 2023/02/02 22:46:54 - mmengine - INFO - Epoch(train) [209][ 880/1879] lr: 1.0891e-02 eta: 12:47:25 time: 0.5429 data_time: 0.0377 memory: 18104 grad_norm: 5.6913 loss: 2.8135 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.5396 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.2739 2023/02/02 22:47:05 - mmengine - INFO - Epoch(train) [209][ 900/1879] lr: 1.0886e-02 eta: 12:47:15 time: 0.5329 data_time: 0.0367 memory: 18104 grad_norm: 5.6229 loss: 2.9401 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7638 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.1762 2023/02/02 22:47:16 - mmengine - INFO - Epoch(train) [209][ 920/1879] lr: 1.0882e-02 eta: 12:47:05 time: 0.5424 data_time: 0.0288 memory: 18104 grad_norm: 5.5073 loss: 2.6850 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5759 top1_acc_1: 0.5765 top5_acc_1: 0.8706 loss_cls_1: 1.1091 2023/02/02 22:47:27 - mmengine - INFO - Epoch(train) [209][ 940/1879] lr: 1.0877e-02 eta: 12:46:56 time: 0.5436 data_time: 0.0384 memory: 18104 grad_norm: 5.7598 loss: 2.6406 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.5659 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.0747 2023/02/02 22:47:37 - mmengine - INFO - Epoch(train) [209][ 960/1879] lr: 1.0872e-02 eta: 12:46:46 time: 0.5460 data_time: 0.0365 memory: 18104 grad_norm: 5.5812 loss: 3.0276 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7958 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 1.2318 2023/02/02 22:47:48 - mmengine - INFO - Epoch(train) [209][ 980/1879] lr: 1.0868e-02 eta: 12:46:37 time: 0.5416 data_time: 0.0359 memory: 18104 grad_norm: 5.5967 loss: 2.8411 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6309 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 1.2103 2023/02/02 22:47:59 - mmengine - INFO - Epoch(train) [209][1000/1879] lr: 1.0863e-02 eta: 12:46:26 time: 0.5265 data_time: 0.0295 memory: 18104 grad_norm: 5.5806 loss: 3.0925 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.8722 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.2202 2023/02/02 22:48:10 - mmengine - INFO - Epoch(train) [209][1020/1879] lr: 1.0858e-02 eta: 12:46:17 time: 0.5498 data_time: 0.0436 memory: 18104 grad_norm: 5.6727 loss: 2.8610 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.7224 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.1386 2023/02/02 22:48:20 - mmengine - INFO - Epoch(train) [209][1040/1879] lr: 1.0854e-02 eta: 12:46:07 time: 0.5251 data_time: 0.0297 memory: 18104 grad_norm: 5.5881 loss: 2.9024 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.6304 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.2720 2023/02/02 22:48:31 - mmengine - INFO - Epoch(train) [209][1060/1879] lr: 1.0849e-02 eta: 12:45:57 time: 0.5465 data_time: 0.0383 memory: 18104 grad_norm: 5.6189 loss: 3.0583 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8209 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.2374 2023/02/02 22:48:42 - mmengine - INFO - Epoch(train) [209][1080/1879] lr: 1.0844e-02 eta: 12:45:47 time: 0.5264 data_time: 0.0371 memory: 18104 grad_norm: 5.7478 loss: 3.0425 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.7475 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2950 2023/02/02 22:48:53 - mmengine - INFO - Epoch(train) [209][1100/1879] lr: 1.0840e-02 eta: 12:45:37 time: 0.5281 data_time: 0.0384 memory: 18104 grad_norm: 5.6320 loss: 2.8739 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.6798 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.1941 2023/02/02 22:49:03 - mmengine - INFO - Epoch(train) [209][1120/1879] lr: 1.0835e-02 eta: 12:45:28 time: 0.5345 data_time: 0.0285 memory: 18104 grad_norm: 5.6364 loss: 2.9716 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7496 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.2220 2023/02/02 22:49:14 - mmengine - INFO - Epoch(train) [209][1140/1879] lr: 1.0830e-02 eta: 12:45:18 time: 0.5310 data_time: 0.0384 memory: 18104 grad_norm: 5.6278 loss: 2.6719 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5237 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.1482 2023/02/02 22:49:24 - mmengine - INFO - Epoch(train) [209][1160/1879] lr: 1.0826e-02 eta: 12:45:08 time: 0.5212 data_time: 0.0280 memory: 18104 grad_norm: 5.7894 loss: 2.7106 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.5353 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.1753 2023/02/02 22:49:28 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 22:49:35 - mmengine - INFO - Epoch(train) [209][1180/1879] lr: 1.0821e-02 eta: 12:44:58 time: 0.5400 data_time: 0.0368 memory: 18104 grad_norm: 5.4273 loss: 2.6137 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.4733 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.1404 2023/02/02 22:49:45 - mmengine - INFO - Epoch(train) [209][1200/1879] lr: 1.0816e-02 eta: 12:44:47 time: 0.5127 data_time: 0.0318 memory: 18104 grad_norm: 5.7076 loss: 2.8824 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 1.7371 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.1453 2023/02/02 22:49:56 - mmengine - INFO - Epoch(train) [209][1220/1879] lr: 1.0811e-02 eta: 12:44:38 time: 0.5437 data_time: 0.0460 memory: 18104 grad_norm: 5.6889 loss: 2.7929 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.6117 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.1812 2023/02/02 22:50:07 - mmengine - INFO - Epoch(train) [209][1240/1879] lr: 1.0807e-02 eta: 12:44:28 time: 0.5160 data_time: 0.0290 memory: 18104 grad_norm: 5.6929 loss: 2.8638 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6211 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2426 2023/02/02 22:50:17 - mmengine - INFO - Epoch(train) [209][1260/1879] lr: 1.0802e-02 eta: 12:44:18 time: 0.5337 data_time: 0.0364 memory: 18104 grad_norm: 5.6475 loss: 2.8409 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.6628 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.1782 2023/02/02 22:50:28 - mmengine - INFO - Epoch(train) [209][1280/1879] lr: 1.0797e-02 eta: 12:44:08 time: 0.5251 data_time: 0.0351 memory: 18104 grad_norm: 5.5438 loss: 2.6909 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.5365 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.1544 2023/02/02 22:50:39 - mmengine - INFO - Epoch(train) [209][1300/1879] lr: 1.0793e-02 eta: 12:43:58 time: 0.5369 data_time: 0.0365 memory: 18104 grad_norm: 5.6098 loss: 2.7884 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.5597 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.2287 2023/02/02 22:50:49 - mmengine - INFO - Epoch(train) [209][1320/1879] lr: 1.0788e-02 eta: 12:43:48 time: 0.5343 data_time: 0.0290 memory: 18104 grad_norm: 5.5605 loss: 2.9898 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.8072 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.1826 2023/02/02 22:51:00 - mmengine - INFO - Epoch(train) [209][1340/1879] lr: 1.0783e-02 eta: 12:43:38 time: 0.5318 data_time: 0.0352 memory: 18104 grad_norm: 5.6334 loss: 2.8427 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6461 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.1967 2023/02/02 22:51:10 - mmengine - INFO - Epoch(train) [209][1360/1879] lr: 1.0779e-02 eta: 12:43:28 time: 0.5114 data_time: 0.0303 memory: 18104 grad_norm: 5.6380 loss: 2.7421 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5778 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.1642 2023/02/02 22:51:21 - mmengine - INFO - Epoch(train) [209][1380/1879] lr: 1.0774e-02 eta: 12:43:18 time: 0.5453 data_time: 0.0384 memory: 18104 grad_norm: 5.6876 loss: 2.6492 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5067 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.1425 2023/02/02 22:51:32 - mmengine - INFO - Epoch(train) [209][1400/1879] lr: 1.0769e-02 eta: 12:43:08 time: 0.5183 data_time: 0.0291 memory: 18104 grad_norm: 5.7643 loss: 3.0491 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8702 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.1788 2023/02/02 22:51:42 - mmengine - INFO - Epoch(train) [209][1420/1879] lr: 1.0765e-02 eta: 12:42:58 time: 0.5352 data_time: 0.0376 memory: 18104 grad_norm: 5.6433 loss: 2.8949 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.7401 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.1548 2023/02/02 22:51:53 - mmengine - INFO - Epoch(train) [209][1440/1879] lr: 1.0760e-02 eta: 12:42:48 time: 0.5216 data_time: 0.0301 memory: 18104 grad_norm: 5.6451 loss: 3.1441 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.9326 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.2115 2023/02/02 22:52:03 - mmengine - INFO - Epoch(train) [209][1460/1879] lr: 1.0755e-02 eta: 12:42:38 time: 0.5359 data_time: 0.0373 memory: 18104 grad_norm: 5.5549 loss: 2.9320 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.7330 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.1989 2023/02/02 22:52:14 - mmengine - INFO - Epoch(train) [209][1480/1879] lr: 1.0751e-02 eta: 12:42:28 time: 0.5180 data_time: 0.0296 memory: 18104 grad_norm: 5.6355 loss: 2.9528 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.7165 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.2362 2023/02/02 22:52:25 - mmengine - INFO - Epoch(train) [209][1500/1879] lr: 1.0746e-02 eta: 12:42:18 time: 0.5417 data_time: 0.0371 memory: 18104 grad_norm: 5.6426 loss: 2.8457 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6705 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.1752 2023/02/02 22:52:35 - mmengine - INFO - Epoch(train) [209][1520/1879] lr: 1.0741e-02 eta: 12:42:08 time: 0.5260 data_time: 0.0291 memory: 18104 grad_norm: 5.6521 loss: 2.6705 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.4445 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.2259 2023/02/02 22:52:46 - mmengine - INFO - Epoch(train) [209][1540/1879] lr: 1.0737e-02 eta: 12:41:58 time: 0.5278 data_time: 0.0367 memory: 18104 grad_norm: 5.6527 loss: 2.8370 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6093 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.2276 2023/02/02 22:52:56 - mmengine - INFO - Epoch(train) [209][1560/1879] lr: 1.0732e-02 eta: 12:41:48 time: 0.5165 data_time: 0.0287 memory: 18104 grad_norm: 5.6993 loss: 2.8363 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.5972 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.2391 2023/02/02 22:53:07 - mmengine - INFO - Epoch(train) [209][1580/1879] lr: 1.0727e-02 eta: 12:41:38 time: 0.5424 data_time: 0.0386 memory: 18104 grad_norm: 5.5709 loss: 2.8388 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.6033 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.2355 2023/02/02 22:53:17 - mmengine - INFO - Epoch(train) [209][1600/1879] lr: 1.0723e-02 eta: 12:41:28 time: 0.5194 data_time: 0.0305 memory: 18104 grad_norm: 5.6430 loss: 2.7778 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.5669 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.2109 2023/02/02 22:53:28 - mmengine - INFO - Epoch(train) [209][1620/1879] lr: 1.0718e-02 eta: 12:41:18 time: 0.5342 data_time: 0.0368 memory: 18104 grad_norm: 5.5843 loss: 2.8453 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.6105 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.2348 2023/02/02 22:53:39 - mmengine - INFO - Epoch(train) [209][1640/1879] lr: 1.0713e-02 eta: 12:41:08 time: 0.5271 data_time: 0.0302 memory: 18104 grad_norm: 5.6324 loss: 2.9010 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.6271 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2739 2023/02/02 22:53:49 - mmengine - INFO - Epoch(train) [209][1660/1879] lr: 1.0709e-02 eta: 12:40:58 time: 0.5283 data_time: 0.0356 memory: 18104 grad_norm: 5.7599 loss: 3.0006 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7848 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.2158 2023/02/02 22:54:00 - mmengine - INFO - Epoch(train) [209][1680/1879] lr: 1.0704e-02 eta: 12:40:48 time: 0.5348 data_time: 0.0307 memory: 18104 grad_norm: 5.5863 loss: 2.6241 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.4912 top1_acc_1: 0.6588 top5_acc_1: 0.8118 loss_cls_1: 1.1329 2023/02/02 22:54:11 - mmengine - INFO - Epoch(train) [209][1700/1879] lr: 1.0699e-02 eta: 12:40:39 time: 0.5392 data_time: 0.0384 memory: 18104 grad_norm: 5.8105 loss: 2.9893 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.7479 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.2414 2023/02/02 22:54:21 - mmengine - INFO - Epoch(train) [209][1720/1879] lr: 1.0695e-02 eta: 12:40:29 time: 0.5252 data_time: 0.0276 memory: 18104 grad_norm: 5.7590 loss: 2.8625 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7286 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.1339 2023/02/02 22:54:32 - mmengine - INFO - Epoch(train) [209][1740/1879] lr: 1.0690e-02 eta: 12:40:18 time: 0.5228 data_time: 0.0434 memory: 18104 grad_norm: 5.6568 loss: 3.1243 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.9425 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.1818 2023/02/02 22:54:43 - mmengine - INFO - Epoch(train) [209][1760/1879] lr: 1.0686e-02 eta: 12:40:09 time: 0.5334 data_time: 0.0280 memory: 18104 grad_norm: 5.6543 loss: 2.8525 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.5877 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.2648 2023/02/02 22:54:54 - mmengine - INFO - Epoch(train) [209][1780/1879] lr: 1.0681e-02 eta: 12:39:59 time: 0.5546 data_time: 0.0349 memory: 18104 grad_norm: 5.5814 loss: 2.6226 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.4454 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.1772 2023/02/02 22:55:04 - mmengine - INFO - Epoch(train) [209][1800/1879] lr: 1.0676e-02 eta: 12:39:49 time: 0.5159 data_time: 0.0303 memory: 18104 grad_norm: 5.5855 loss: 3.0167 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.8666 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.1501 2023/02/02 22:55:15 - mmengine - INFO - Epoch(train) [209][1820/1879] lr: 1.0672e-02 eta: 12:39:39 time: 0.5353 data_time: 0.0366 memory: 18104 grad_norm: 5.5268 loss: 2.8984 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7011 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.1973 2023/02/02 22:55:25 - mmengine - INFO - Epoch(train) [209][1840/1879] lr: 1.0667e-02 eta: 12:39:29 time: 0.5355 data_time: 0.0290 memory: 18104 grad_norm: 5.5334 loss: 2.7485 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.5439 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.2046 2023/02/02 22:55:36 - mmengine - INFO - Epoch(train) [209][1860/1879] lr: 1.0662e-02 eta: 12:39:19 time: 0.5307 data_time: 0.0348 memory: 18104 grad_norm: 5.6921 loss: 2.8080 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.6661 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.1419 2023/02/02 22:55:46 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 22:55:46 - mmengine - INFO - Epoch(train) [209][1879/1879] lr: 1.0658e-02 eta: 12:39:10 time: 0.5163 data_time: 0.0330 memory: 18104 grad_norm: 5.7434 loss: 2.8039 top1_acc_0: 0.5714 top5_acc_0: 0.8571 loss_cls_0: 1.6116 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.1923 2023/02/02 22:56:01 - mmengine - INFO - Epoch(train) [210][ 20/1879] lr: 1.0653e-02 eta: 12:39:05 time: 0.7240 data_time: 0.2551 memory: 18104 grad_norm: 5.5040 loss: 2.6715 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.5211 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 1.1503 2023/02/02 22:56:11 - mmengine - INFO - Epoch(train) [210][ 40/1879] lr: 1.0649e-02 eta: 12:38:54 time: 0.4918 data_time: 0.0350 memory: 18104 grad_norm: 5.5712 loss: 2.8490 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6669 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.1822 2023/02/02 22:56:21 - mmengine - INFO - Epoch(train) [210][ 60/1879] lr: 1.0644e-02 eta: 12:38:43 time: 0.4949 data_time: 0.0317 memory: 18104 grad_norm: 5.6174 loss: 2.7079 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.5860 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.1219 2023/02/02 22:56:31 - mmengine - INFO - Epoch(train) [210][ 80/1879] lr: 1.0639e-02 eta: 12:38:32 time: 0.5143 data_time: 0.0328 memory: 18104 grad_norm: 5.5947 loss: 2.8178 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 1.5889 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.2289 2023/02/02 22:56:41 - mmengine - INFO - Epoch(train) [210][ 100/1879] lr: 1.0635e-02 eta: 12:38:21 time: 0.4889 data_time: 0.0330 memory: 18104 grad_norm: 5.6808 loss: 2.7148 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.5895 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.1253 2023/02/02 22:56:51 - mmengine - INFO - Epoch(train) [210][ 120/1879] lr: 1.0630e-02 eta: 12:38:10 time: 0.4865 data_time: 0.0336 memory: 18104 grad_norm: 5.5923 loss: 2.6242 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.4487 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.1755 2023/02/02 22:57:01 - mmengine - INFO - Epoch(train) [210][ 140/1879] lr: 1.0625e-02 eta: 12:38:00 time: 0.5133 data_time: 0.0319 memory: 18104 grad_norm: 5.6821 loss: 2.7348 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.5366 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.1982 2023/02/02 22:57:11 - mmengine - INFO - Epoch(train) [210][ 160/1879] lr: 1.0621e-02 eta: 12:37:49 time: 0.5059 data_time: 0.0399 memory: 18104 grad_norm: 5.5720 loss: 2.9980 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.6958 top1_acc_1: 0.5647 top5_acc_1: 0.8235 loss_cls_1: 1.3022 2023/02/02 22:57:21 - mmengine - INFO - Epoch(train) [210][ 180/1879] lr: 1.0616e-02 eta: 12:37:38 time: 0.4884 data_time: 0.0336 memory: 18104 grad_norm: 5.6018 loss: 2.7088 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5021 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.2068 2023/02/02 22:57:31 - mmengine - INFO - Epoch(train) [210][ 200/1879] lr: 1.0611e-02 eta: 12:37:28 time: 0.4935 data_time: 0.0335 memory: 18104 grad_norm: 5.6606 loss: 2.6309 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.4380 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.1930 2023/02/02 22:57:41 - mmengine - INFO - Epoch(train) [210][ 220/1879] lr: 1.0607e-02 eta: 12:37:17 time: 0.5180 data_time: 0.0328 memory: 18104 grad_norm: 5.5717 loss: 2.8424 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 1.7017 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.1407 2023/02/02 22:57:51 - mmengine - INFO - Epoch(train) [210][ 240/1879] lr: 1.0602e-02 eta: 12:37:06 time: 0.4934 data_time: 0.0401 memory: 18104 grad_norm: 5.5831 loss: 2.7808 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6276 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.1532 2023/02/02 22:58:01 - mmengine - INFO - Epoch(train) [210][ 260/1879] lr: 1.0597e-02 eta: 12:36:55 time: 0.4881 data_time: 0.0318 memory: 18104 grad_norm: 5.6049 loss: 2.5794 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.4688 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.1106 2023/02/02 22:58:11 - mmengine - INFO - Epoch(train) [210][ 280/1879] lr: 1.0593e-02 eta: 12:36:45 time: 0.5175 data_time: 0.0353 memory: 18104 grad_norm: 5.6522 loss: 2.7021 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.6678 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.0344 2023/02/02 22:58:16 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 22:58:22 - mmengine - INFO - Epoch(train) [210][ 300/1879] lr: 1.0588e-02 eta: 12:36:35 time: 0.5091 data_time: 0.0403 memory: 18104 grad_norm: 5.5513 loss: 2.9057 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.7251 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.1806 2023/02/02 22:58:31 - mmengine - INFO - Epoch(train) [210][ 320/1879] lr: 1.0584e-02 eta: 12:36:24 time: 0.4931 data_time: 0.0338 memory: 18104 grad_norm: 5.6754 loss: 2.7645 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 1.5590 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.2055 2023/02/02 22:58:41 - mmengine - INFO - Epoch(train) [210][ 340/1879] lr: 1.0579e-02 eta: 12:36:13 time: 0.4980 data_time: 0.0339 memory: 18104 grad_norm: 5.6249 loss: 2.7308 top1_acc_0: 0.5625 top5_acc_0: 1.0000 loss_cls_0: 1.5837 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.1471 2023/02/02 22:58:52 - mmengine - INFO - Epoch(train) [210][ 360/1879] lr: 1.0574e-02 eta: 12:36:03 time: 0.5225 data_time: 0.0331 memory: 18104 grad_norm: 5.6196 loss: 2.6461 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4854 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.1607 2023/02/02 22:59:02 - mmengine - INFO - Epoch(train) [210][ 380/1879] lr: 1.0570e-02 eta: 12:35:52 time: 0.5107 data_time: 0.0338 memory: 18104 grad_norm: 5.7516 loss: 2.6930 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3954 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.2976 2023/02/02 22:59:12 - mmengine - INFO - Epoch(train) [210][ 400/1879] lr: 1.0565e-02 eta: 12:35:42 time: 0.5018 data_time: 0.0317 memory: 18104 grad_norm: 5.6220 loss: 2.7019 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.5033 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.1986 2023/02/02 22:59:23 - mmengine - INFO - Epoch(train) [210][ 420/1879] lr: 1.0560e-02 eta: 12:35:32 time: 0.5201 data_time: 0.0321 memory: 18104 grad_norm: 5.5079 loss: 2.7904 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.5949 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.1954 2023/02/02 22:59:33 - mmengine - INFO - Epoch(train) [210][ 440/1879] lr: 1.0556e-02 eta: 12:35:21 time: 0.5089 data_time: 0.0330 memory: 18104 grad_norm: 5.6179 loss: 2.7919 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6494 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.1424 2023/02/02 22:59:43 - mmengine - INFO - Epoch(train) [210][ 460/1879] lr: 1.0551e-02 eta: 12:35:10 time: 0.4932 data_time: 0.0332 memory: 18104 grad_norm: 5.6019 loss: 2.8216 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.6418 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.1797 2023/02/02 22:59:53 - mmengine - INFO - Epoch(train) [210][ 480/1879] lr: 1.0547e-02 eta: 12:35:00 time: 0.5126 data_time: 0.0331 memory: 18104 grad_norm: 5.6557 loss: 2.8154 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.5849 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.2305 2023/02/02 23:00:03 - mmengine - INFO - Epoch(train) [210][ 500/1879] lr: 1.0542e-02 eta: 12:34:49 time: 0.5161 data_time: 0.0317 memory: 18104 grad_norm: 5.7303 loss: 2.8846 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6548 top1_acc_1: 0.6353 top5_acc_1: 0.9176 loss_cls_1: 1.2298 2023/02/02 23:00:14 - mmengine - INFO - Epoch(train) [210][ 520/1879] lr: 1.0537e-02 eta: 12:34:39 time: 0.5113 data_time: 0.0317 memory: 18104 grad_norm: 5.5166 loss: 2.8908 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6681 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.2227 2023/02/02 23:00:24 - mmengine - INFO - Epoch(train) [210][ 540/1879] lr: 1.0533e-02 eta: 12:34:28 time: 0.5049 data_time: 0.0352 memory: 18104 grad_norm: 5.6189 loss: 2.7985 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.6326 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.1659 2023/02/02 23:00:34 - mmengine - INFO - Epoch(train) [210][ 560/1879] lr: 1.0528e-02 eta: 12:34:18 time: 0.5301 data_time: 0.0335 memory: 18104 grad_norm: 5.7340 loss: 2.8738 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.7089 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.1649 2023/02/02 23:00:45 - mmengine - INFO - Epoch(train) [210][ 580/1879] lr: 1.0523e-02 eta: 12:34:08 time: 0.5170 data_time: 0.0350 memory: 18104 grad_norm: 5.7013 loss: 2.9747 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.7211 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.2536 2023/02/02 23:00:55 - mmengine - INFO - Epoch(train) [210][ 600/1879] lr: 1.0519e-02 eta: 12:33:58 time: 0.5209 data_time: 0.0399 memory: 18104 grad_norm: 5.5809 loss: 2.7422 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6238 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.1184 2023/02/02 23:01:06 - mmengine - INFO - Epoch(train) [210][ 620/1879] lr: 1.0514e-02 eta: 12:33:48 time: 0.5279 data_time: 0.0327 memory: 18104 grad_norm: 5.6497 loss: 2.8008 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.7246 top1_acc_1: 0.8588 top5_acc_1: 0.9529 loss_cls_1: 1.0761 2023/02/02 23:01:16 - mmengine - INFO - Epoch(train) [210][ 640/1879] lr: 1.0510e-02 eta: 12:33:38 time: 0.5265 data_time: 0.0340 memory: 18104 grad_norm: 5.6630 loss: 2.6710 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4969 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.1742 2023/02/02 23:01:26 - mmengine - INFO - Epoch(train) [210][ 660/1879] lr: 1.0505e-02 eta: 12:33:27 time: 0.5018 data_time: 0.0330 memory: 18104 grad_norm: 5.7588 loss: 2.6274 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.5290 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.0984 2023/02/02 23:01:37 - mmengine - INFO - Epoch(train) [210][ 680/1879] lr: 1.0500e-02 eta: 12:33:17 time: 0.5260 data_time: 0.0333 memory: 18104 grad_norm: 5.6397 loss: 2.6744 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.5461 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.1282 2023/02/02 23:01:47 - mmengine - INFO - Epoch(train) [210][ 700/1879] lr: 1.0496e-02 eta: 12:33:07 time: 0.5139 data_time: 0.0313 memory: 18104 grad_norm: 5.7958 loss: 2.8670 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6766 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 1.1904 2023/02/02 23:01:57 - mmengine - INFO - Epoch(train) [210][ 720/1879] lr: 1.0491e-02 eta: 12:32:56 time: 0.5090 data_time: 0.0348 memory: 18104 grad_norm: 5.5735 loss: 2.6024 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.4529 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.1494 2023/02/02 23:02:08 - mmengine - INFO - Epoch(train) [210][ 740/1879] lr: 1.0486e-02 eta: 12:32:46 time: 0.5116 data_time: 0.0333 memory: 18104 grad_norm: 5.7807 loss: 2.6271 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4890 top1_acc_1: 0.6824 top5_acc_1: 0.9294 loss_cls_1: 1.1381 2023/02/02 23:02:18 - mmengine - INFO - Epoch(train) [210][ 760/1879] lr: 1.0482e-02 eta: 12:32:36 time: 0.5163 data_time: 0.0385 memory: 18104 grad_norm: 5.6893 loss: 2.6850 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4980 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.1870 2023/02/02 23:02:28 - mmengine - INFO - Epoch(train) [210][ 780/1879] lr: 1.0477e-02 eta: 12:32:25 time: 0.5077 data_time: 0.0338 memory: 18104 grad_norm: 5.6488 loss: 2.7126 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.5107 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.2019 2023/02/02 23:02:38 - mmengine - INFO - Epoch(train) [210][ 800/1879] lr: 1.0473e-02 eta: 12:32:15 time: 0.5147 data_time: 0.0337 memory: 18104 grad_norm: 5.7355 loss: 2.8470 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.6262 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.2208 2023/02/02 23:02:49 - mmengine - INFO - Epoch(train) [210][ 820/1879] lr: 1.0468e-02 eta: 12:32:04 time: 0.5077 data_time: 0.0319 memory: 18104 grad_norm: 5.7306 loss: 2.9231 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.7261 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.1970 2023/02/02 23:02:59 - mmengine - INFO - Epoch(train) [210][ 840/1879] lr: 1.0463e-02 eta: 12:31:54 time: 0.5098 data_time: 0.0377 memory: 18104 grad_norm: 5.8331 loss: 2.8362 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6036 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.2326 2023/02/02 23:03:09 - mmengine - INFO - Epoch(train) [210][ 860/1879] lr: 1.0459e-02 eta: 12:31:43 time: 0.5052 data_time: 0.0332 memory: 18104 grad_norm: 5.6942 loss: 2.8396 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.6705 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.1691 2023/02/02 23:03:19 - mmengine - INFO - Epoch(train) [210][ 880/1879] lr: 1.0454e-02 eta: 12:31:33 time: 0.5220 data_time: 0.0327 memory: 18104 grad_norm: 5.5745 loss: 2.6228 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4904 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.1325 2023/02/02 23:03:30 - mmengine - INFO - Epoch(train) [210][ 900/1879] lr: 1.0450e-02 eta: 12:31:23 time: 0.5052 data_time: 0.0327 memory: 18104 grad_norm: 5.6525 loss: 2.8810 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6210 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.2600 2023/02/02 23:03:40 - mmengine - INFO - Epoch(train) [210][ 920/1879] lr: 1.0445e-02 eta: 12:31:12 time: 0.5162 data_time: 0.0470 memory: 18104 grad_norm: 5.5743 loss: 2.9608 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.7435 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.2173 2023/02/02 23:03:50 - mmengine - INFO - Epoch(train) [210][ 940/1879] lr: 1.0440e-02 eta: 12:31:02 time: 0.5084 data_time: 0.0299 memory: 18104 grad_norm: 5.6165 loss: 2.4886 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.3519 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.1367 2023/02/02 23:04:01 - mmengine - INFO - Epoch(train) [210][ 960/1879] lr: 1.0436e-02 eta: 12:30:52 time: 0.5224 data_time: 0.0372 memory: 18104 grad_norm: 5.9007 loss: 2.7070 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4468 top1_acc_1: 0.6353 top5_acc_1: 0.8118 loss_cls_1: 1.2601 2023/02/02 23:04:11 - mmengine - INFO - Epoch(train) [210][ 980/1879] lr: 1.0431e-02 eta: 12:30:41 time: 0.5065 data_time: 0.0348 memory: 18104 grad_norm: 5.7202 loss: 2.9599 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7011 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.2588 2023/02/02 23:04:21 - mmengine - INFO - Epoch(train) [210][1000/1879] lr: 1.0427e-02 eta: 12:30:31 time: 0.5166 data_time: 0.0368 memory: 18104 grad_norm: 5.6493 loss: 2.9364 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.7336 top1_acc_1: 0.6118 top5_acc_1: 0.8824 loss_cls_1: 1.2028 2023/02/02 23:04:31 - mmengine - INFO - Epoch(train) [210][1020/1879] lr: 1.0422e-02 eta: 12:30:20 time: 0.5013 data_time: 0.0296 memory: 18104 grad_norm: 5.7316 loss: 2.8466 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.6938 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.1528 2023/02/02 23:04:41 - mmengine - INFO - Epoch(train) [210][1040/1879] lr: 1.0417e-02 eta: 12:30:10 time: 0.5088 data_time: 0.0435 memory: 18104 grad_norm: 5.7138 loss: 2.8940 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7640 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.1301 2023/02/02 23:04:51 - mmengine - INFO - Epoch(train) [210][1060/1879] lr: 1.0413e-02 eta: 12:29:59 time: 0.5071 data_time: 0.0309 memory: 18104 grad_norm: 5.7368 loss: 2.9245 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.7084 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.2161 2023/02/02 23:05:02 - mmengine - INFO - Epoch(train) [210][1080/1879] lr: 1.0408e-02 eta: 12:29:49 time: 0.5190 data_time: 0.0366 memory: 18104 grad_norm: 5.7296 loss: 3.1651 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8972 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.2679 2023/02/02 23:05:12 - mmengine - INFO - Epoch(train) [210][1100/1879] lr: 1.0404e-02 eta: 12:29:38 time: 0.5080 data_time: 0.0370 memory: 18104 grad_norm: 5.7470 loss: 2.7230 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5184 top1_acc_1: 0.7176 top5_acc_1: 0.8118 loss_cls_1: 1.2046 2023/02/02 23:05:22 - mmengine - INFO - Epoch(train) [210][1120/1879] lr: 1.0399e-02 eta: 12:29:28 time: 0.5071 data_time: 0.0384 memory: 18104 grad_norm: 5.5644 loss: 2.9111 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.6589 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.2522 2023/02/02 23:05:32 - mmengine - INFO - Epoch(train) [210][1140/1879] lr: 1.0394e-02 eta: 12:29:17 time: 0.5130 data_time: 0.0290 memory: 18104 grad_norm: 5.7430 loss: 2.7803 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6067 top1_acc_1: 0.7647 top5_acc_1: 0.9647 loss_cls_1: 1.1736 2023/02/02 23:05:43 - mmengine - INFO - Epoch(train) [210][1160/1879] lr: 1.0390e-02 eta: 12:29:07 time: 0.5042 data_time: 0.0423 memory: 18104 grad_norm: 5.6799 loss: 2.7505 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5785 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 1.1720 2023/02/02 23:05:53 - mmengine - INFO - Epoch(train) [210][1180/1879] lr: 1.0385e-02 eta: 12:28:56 time: 0.5030 data_time: 0.0290 memory: 18104 grad_norm: 5.7703 loss: 2.9485 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6661 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.2823 2023/02/02 23:06:03 - mmengine - INFO - Epoch(train) [210][1200/1879] lr: 1.0381e-02 eta: 12:28:46 time: 0.5170 data_time: 0.0353 memory: 18104 grad_norm: 5.6339 loss: 2.6835 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 1.5011 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.1824 2023/02/02 23:06:13 - mmengine - INFO - Epoch(train) [210][1220/1879] lr: 1.0376e-02 eta: 12:28:35 time: 0.5057 data_time: 0.0288 memory: 18104 grad_norm: 5.7175 loss: 2.7137 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5627 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.1510 2023/02/02 23:06:24 - mmengine - INFO - Epoch(train) [210][1240/1879] lr: 1.0371e-02 eta: 12:28:25 time: 0.5147 data_time: 0.0439 memory: 18104 grad_norm: 5.6787 loss: 2.6945 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.4820 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 1.2125 2023/02/02 23:06:33 - mmengine - INFO - Epoch(train) [210][1260/1879] lr: 1.0367e-02 eta: 12:28:14 time: 0.4985 data_time: 0.0288 memory: 18104 grad_norm: 5.7288 loss: 2.8767 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.6604 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.2163 2023/02/02 23:06:44 - mmengine - INFO - Epoch(train) [210][1280/1879] lr: 1.0362e-02 eta: 12:28:04 time: 0.5207 data_time: 0.0356 memory: 18104 grad_norm: 5.8741 loss: 2.9023 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6669 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.2354 2023/02/02 23:06:49 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 23:06:54 - mmengine - INFO - Epoch(train) [210][1300/1879] lr: 1.0358e-02 eta: 12:27:54 time: 0.5065 data_time: 0.0342 memory: 18104 grad_norm: 5.7363 loss: 2.9172 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7027 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2145 2023/02/02 23:07:04 - mmengine - INFO - Epoch(train) [210][1320/1879] lr: 1.0353e-02 eta: 12:27:43 time: 0.5036 data_time: 0.0383 memory: 18104 grad_norm: 5.6588 loss: 2.6346 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.4747 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.1600 2023/02/02 23:07:14 - mmengine - INFO - Epoch(train) [210][1340/1879] lr: 1.0348e-02 eta: 12:27:32 time: 0.5044 data_time: 0.0289 memory: 18104 grad_norm: 5.8280 loss: 2.9424 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7517 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.1907 2023/02/02 23:07:25 - mmengine - INFO - Epoch(train) [210][1360/1879] lr: 1.0344e-02 eta: 12:27:22 time: 0.5234 data_time: 0.0441 memory: 18104 grad_norm: 5.6648 loss: 2.7660 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.5408 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.2252 2023/02/02 23:07:35 - mmengine - INFO - Epoch(train) [210][1380/1879] lr: 1.0339e-02 eta: 12:27:12 time: 0.5017 data_time: 0.0298 memory: 18104 grad_norm: 5.8852 loss: 2.8496 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5877 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.2620 2023/02/02 23:07:45 - mmengine - INFO - Epoch(train) [210][1400/1879] lr: 1.0335e-02 eta: 12:27:01 time: 0.5107 data_time: 0.0368 memory: 18104 grad_norm: 5.8856 loss: 2.7277 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.5148 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.2128 2023/02/02 23:07:55 - mmengine - INFO - Epoch(train) [210][1420/1879] lr: 1.0330e-02 eta: 12:26:50 time: 0.4983 data_time: 0.0358 memory: 18104 grad_norm: 5.7228 loss: 2.8788 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.7183 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.1605 2023/02/02 23:08:05 - mmengine - INFO - Epoch(train) [210][1440/1879] lr: 1.0326e-02 eta: 12:26:40 time: 0.5199 data_time: 0.0384 memory: 18104 grad_norm: 5.7114 loss: 2.8138 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.6460 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.1678 2023/02/02 23:08:15 - mmengine - INFO - Epoch(train) [210][1460/1879] lr: 1.0321e-02 eta: 12:26:29 time: 0.4956 data_time: 0.0314 memory: 18104 grad_norm: 5.7531 loss: 2.8035 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6479 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.1556 2023/02/02 23:08:26 - mmengine - INFO - Epoch(train) [210][1480/1879] lr: 1.0316e-02 eta: 12:26:19 time: 0.5191 data_time: 0.0436 memory: 18104 grad_norm: 5.7753 loss: 2.8294 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6225 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.2069 2023/02/02 23:08:36 - mmengine - INFO - Epoch(train) [210][1500/1879] lr: 1.0312e-02 eta: 12:26:09 time: 0.5054 data_time: 0.0290 memory: 18104 grad_norm: 5.6915 loss: 2.9484 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7044 top1_acc_1: 0.7529 top5_acc_1: 0.8471 loss_cls_1: 1.2440 2023/02/02 23:08:46 - mmengine - INFO - Epoch(train) [210][1520/1879] lr: 1.0307e-02 eta: 12:25:58 time: 0.5026 data_time: 0.0392 memory: 18104 grad_norm: 5.7857 loss: 2.8765 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.6680 top1_acc_1: 0.6588 top5_acc_1: 0.9176 loss_cls_1: 1.2085 2023/02/02 23:08:56 - mmengine - INFO - Epoch(train) [210][1540/1879] lr: 1.0303e-02 eta: 12:25:47 time: 0.5052 data_time: 0.0298 memory: 18104 grad_norm: 5.7778 loss: 2.7973 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.6609 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.1364 2023/02/02 23:09:07 - mmengine - INFO - Epoch(train) [210][1560/1879] lr: 1.0298e-02 eta: 12:25:37 time: 0.5266 data_time: 0.0430 memory: 18104 grad_norm: 5.7434 loss: 2.8921 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6784 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.2137 2023/02/02 23:09:17 - mmengine - INFO - Epoch(train) [210][1580/1879] lr: 1.0293e-02 eta: 12:25:27 time: 0.5013 data_time: 0.0293 memory: 18104 grad_norm: 5.7359 loss: 2.9846 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7211 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.2635 2023/02/02 23:09:27 - mmengine - INFO - Epoch(train) [210][1600/1879] lr: 1.0289e-02 eta: 12:25:16 time: 0.5238 data_time: 0.0372 memory: 18104 grad_norm: 5.7095 loss: 2.8735 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.6777 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.1958 2023/02/02 23:09:38 - mmengine - INFO - Epoch(train) [210][1620/1879] lr: 1.0284e-02 eta: 12:25:06 time: 0.5136 data_time: 0.0402 memory: 18104 grad_norm: 5.8340 loss: 2.7023 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5304 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.1718 2023/02/02 23:09:48 - mmengine - INFO - Epoch(train) [210][1640/1879] lr: 1.0280e-02 eta: 12:24:56 time: 0.5212 data_time: 0.0369 memory: 18104 grad_norm: 5.6279 loss: 2.9263 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.7095 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.2168 2023/02/02 23:09:58 - mmengine - INFO - Epoch(train) [210][1660/1879] lr: 1.0275e-02 eta: 12:24:46 time: 0.5189 data_time: 0.0291 memory: 18104 grad_norm: 5.8680 loss: 2.9489 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7096 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.2392 2023/02/02 23:10:09 - mmengine - INFO - Epoch(train) [210][1680/1879] lr: 1.0271e-02 eta: 12:24:36 time: 0.5304 data_time: 0.0504 memory: 18104 grad_norm: 5.5294 loss: 2.6453 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5003 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.1450 2023/02/02 23:10:19 - mmengine - INFO - Epoch(train) [210][1700/1879] lr: 1.0266e-02 eta: 12:24:26 time: 0.5205 data_time: 0.0294 memory: 18104 grad_norm: 5.7669 loss: 2.9014 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6563 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.2451 2023/02/02 23:10:30 - mmengine - INFO - Epoch(train) [210][1720/1879] lr: 1.0261e-02 eta: 12:24:15 time: 0.5260 data_time: 0.0383 memory: 18104 grad_norm: 5.7665 loss: 3.0309 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 1.7813 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.2496 2023/02/02 23:10:40 - mmengine - INFO - Epoch(train) [210][1740/1879] lr: 1.0257e-02 eta: 12:24:05 time: 0.5237 data_time: 0.0374 memory: 18104 grad_norm: 5.8737 loss: 2.7461 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5035 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.2426 2023/02/02 23:10:51 - mmengine - INFO - Epoch(train) [210][1760/1879] lr: 1.0252e-02 eta: 12:23:55 time: 0.5022 data_time: 0.0346 memory: 18104 grad_norm: 5.6533 loss: 2.8522 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 1.7366 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 1.1157 2023/02/02 23:11:01 - mmengine - INFO - Epoch(train) [210][1780/1879] lr: 1.0248e-02 eta: 12:23:45 time: 0.5287 data_time: 0.0293 memory: 18104 grad_norm: 5.7867 loss: 2.8539 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.5763 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.2776 2023/02/02 23:11:12 - mmengine - INFO - Epoch(train) [210][1800/1879] lr: 1.0243e-02 eta: 12:23:35 time: 0.5466 data_time: 0.0365 memory: 18104 grad_norm: 5.8178 loss: 2.6540 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.5181 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.1359 2023/02/02 23:11:22 - mmengine - INFO - Epoch(train) [210][1820/1879] lr: 1.0239e-02 eta: 12:23:25 time: 0.5170 data_time: 0.0385 memory: 18104 grad_norm: 5.8569 loss: 3.0655 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8937 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 1.1718 2023/02/02 23:11:33 - mmengine - INFO - Epoch(train) [210][1840/1879] lr: 1.0234e-02 eta: 12:23:15 time: 0.5297 data_time: 0.0354 memory: 18104 grad_norm: 5.6285 loss: 2.7500 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.5602 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.1897 2023/02/02 23:11:44 - mmengine - INFO - Epoch(train) [210][1860/1879] lr: 1.0229e-02 eta: 12:23:05 time: 0.5250 data_time: 0.0298 memory: 18104 grad_norm: 5.6984 loss: 2.9281 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7060 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.2222 2023/02/02 23:11:53 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 23:11:53 - mmengine - INFO - Epoch(train) [210][1879/1879] lr: 1.0225e-02 eta: 12:22:55 time: 0.5072 data_time: 0.0381 memory: 18104 grad_norm: 5.9469 loss: 3.1006 top1_acc_0: 0.8571 top5_acc_0: 0.8571 loss_cls_0: 1.8697 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.2309 2023/02/02 23:12:09 - mmengine - INFO - Epoch(train) [211][ 20/1879] lr: 1.0221e-02 eta: 12:22:50 time: 0.7324 data_time: 0.2626 memory: 18104 grad_norm: 5.6142 loss: 2.7785 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5539 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.2246 2023/02/02 23:12:18 - mmengine - INFO - Epoch(train) [211][ 40/1879] lr: 1.0216e-02 eta: 12:22:39 time: 0.4842 data_time: 0.0346 memory: 18104 grad_norm: 5.6223 loss: 2.8065 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6619 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.1446 2023/02/02 23:12:28 - mmengine - INFO - Epoch(train) [211][ 60/1879] lr: 1.0211e-02 eta: 12:22:28 time: 0.5024 data_time: 0.0354 memory: 18104 grad_norm: 5.6829 loss: 2.7678 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.5938 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.1741 2023/02/02 23:12:39 - mmengine - INFO - Epoch(train) [211][ 80/1879] lr: 1.0207e-02 eta: 12:22:18 time: 0.5292 data_time: 0.0324 memory: 18104 grad_norm: 5.6565 loss: 2.8731 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.6114 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.2616 2023/02/02 23:12:49 - mmengine - INFO - Epoch(train) [211][ 100/1879] lr: 1.0202e-02 eta: 12:22:07 time: 0.4974 data_time: 0.0350 memory: 18104 grad_norm: 5.6592 loss: 2.8763 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6173 top1_acc_1: 0.6118 top5_acc_1: 0.8000 loss_cls_1: 1.2590 2023/02/02 23:12:59 - mmengine - INFO - Epoch(train) [211][ 120/1879] lr: 1.0198e-02 eta: 12:21:56 time: 0.4818 data_time: 0.0330 memory: 18104 grad_norm: 5.7437 loss: 2.7822 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.5890 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.1933 2023/02/02 23:13:09 - mmengine - INFO - Epoch(train) [211][ 140/1879] lr: 1.0193e-02 eta: 12:21:46 time: 0.5161 data_time: 0.0361 memory: 18104 grad_norm: 5.7726 loss: 2.7275 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.5616 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 1.1660 2023/02/02 23:13:19 - mmengine - INFO - Epoch(train) [211][ 160/1879] lr: 1.0189e-02 eta: 12:21:35 time: 0.5055 data_time: 0.0403 memory: 18104 grad_norm: 5.6603 loss: 2.8045 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.7047 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 1.0999 2023/02/02 23:13:29 - mmengine - INFO - Epoch(train) [211][ 180/1879] lr: 1.0184e-02 eta: 12:21:24 time: 0.4948 data_time: 0.0352 memory: 18104 grad_norm: 5.5963 loss: 2.7422 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6274 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.1148 2023/02/02 23:13:39 - mmengine - INFO - Epoch(train) [211][ 200/1879] lr: 1.0180e-02 eta: 12:21:14 time: 0.4905 data_time: 0.0337 memory: 18104 grad_norm: 5.6912 loss: 2.6545 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.5192 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.1354 2023/02/02 23:13:49 - mmengine - INFO - Epoch(train) [211][ 220/1879] lr: 1.0175e-02 eta: 12:21:03 time: 0.5257 data_time: 0.0346 memory: 18104 grad_norm: 5.6455 loss: 2.9946 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.7802 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.2144 2023/02/02 23:13:59 - mmengine - INFO - Epoch(train) [211][ 240/1879] lr: 1.0170e-02 eta: 12:20:53 time: 0.4904 data_time: 0.0326 memory: 18104 grad_norm: 5.7130 loss: 2.7509 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7085 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.0424 2023/02/02 23:14:09 - mmengine - INFO - Epoch(train) [211][ 260/1879] lr: 1.0166e-02 eta: 12:20:42 time: 0.5035 data_time: 0.0349 memory: 18104 grad_norm: 5.5610 loss: 2.7310 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.5387 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.1922 2023/02/02 23:14:19 - mmengine - INFO - Epoch(train) [211][ 280/1879] lr: 1.0161e-02 eta: 12:20:31 time: 0.5035 data_time: 0.0333 memory: 18104 grad_norm: 5.7052 loss: 2.6183 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.4748 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.1435 2023/02/02 23:14:29 - mmengine - INFO - Epoch(train) [211][ 300/1879] lr: 1.0157e-02 eta: 12:20:21 time: 0.5031 data_time: 0.0417 memory: 18104 grad_norm: 5.7434 loss: 2.9066 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7188 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.1878 2023/02/02 23:14:39 - mmengine - INFO - Epoch(train) [211][ 320/1879] lr: 1.0152e-02 eta: 12:20:10 time: 0.4918 data_time: 0.0320 memory: 18104 grad_norm: 5.6247 loss: 2.7339 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5414 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.1925 2023/02/02 23:14:50 - mmengine - INFO - Epoch(train) [211][ 340/1879] lr: 1.0148e-02 eta: 12:19:59 time: 0.5116 data_time: 0.0355 memory: 18104 grad_norm: 5.6416 loss: 2.9719 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.7769 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.1951 2023/02/02 23:15:00 - mmengine - INFO - Epoch(train) [211][ 360/1879] lr: 1.0143e-02 eta: 12:19:49 time: 0.5128 data_time: 0.0339 memory: 18104 grad_norm: 5.6855 loss: 2.8739 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.6599 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.2140 2023/02/02 23:15:10 - mmengine - INFO - Epoch(train) [211][ 380/1879] lr: 1.0139e-02 eta: 12:19:38 time: 0.4982 data_time: 0.0356 memory: 18104 grad_norm: 5.7722 loss: 2.7750 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 1.6135 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.1615 2023/02/02 23:15:20 - mmengine - INFO - Epoch(train) [211][ 400/1879] lr: 1.0134e-02 eta: 12:19:28 time: 0.5022 data_time: 0.0342 memory: 18104 grad_norm: 5.8441 loss: 2.6321 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5405 top1_acc_1: 0.8353 top5_acc_1: 0.9059 loss_cls_1: 1.0915 2023/02/02 23:15:25 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 23:15:30 - mmengine - INFO - Epoch(train) [211][ 420/1879] lr: 1.0129e-02 eta: 12:19:17 time: 0.5115 data_time: 0.0362 memory: 18104 grad_norm: 5.6646 loss: 2.7343 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6387 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.0957 2023/02/02 23:15:40 - mmengine - INFO - Epoch(train) [211][ 440/1879] lr: 1.0125e-02 eta: 12:19:07 time: 0.5069 data_time: 0.0399 memory: 18104 grad_norm: 5.6360 loss: 2.9450 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7592 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 1.1858 2023/02/02 23:15:50 - mmengine - INFO - Epoch(train) [211][ 460/1879] lr: 1.0120e-02 eta: 12:18:56 time: 0.5039 data_time: 0.0361 memory: 18104 grad_norm: 5.6809 loss: 2.9352 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.6763 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.2588 2023/02/02 23:16:01 - mmengine - INFO - Epoch(train) [211][ 480/1879] lr: 1.0116e-02 eta: 12:18:46 time: 0.5080 data_time: 0.0328 memory: 18104 grad_norm: 5.5921 loss: 2.6381 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4792 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.1588 2023/02/02 23:16:11 - mmengine - INFO - Epoch(train) [211][ 500/1879] lr: 1.0111e-02 eta: 12:18:35 time: 0.5073 data_time: 0.0350 memory: 18104 grad_norm: 5.6898 loss: 2.7310 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.5457 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.1853 2023/02/02 23:16:21 - mmengine - INFO - Epoch(train) [211][ 520/1879] lr: 1.0107e-02 eta: 12:18:24 time: 0.4982 data_time: 0.0332 memory: 18104 grad_norm: 5.5961 loss: 2.6489 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5577 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.0912 2023/02/02 23:16:31 - mmengine - INFO - Epoch(train) [211][ 540/1879] lr: 1.0102e-02 eta: 12:18:14 time: 0.5052 data_time: 0.0363 memory: 18104 grad_norm: 5.6581 loss: 2.8165 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.5872 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.2294 2023/02/02 23:16:41 - mmengine - INFO - Epoch(train) [211][ 560/1879] lr: 1.0098e-02 eta: 12:18:03 time: 0.5100 data_time: 0.0338 memory: 18104 grad_norm: 5.9293 loss: 2.8242 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.6599 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.1642 2023/02/02 23:16:51 - mmengine - INFO - Epoch(train) [211][ 580/1879] lr: 1.0093e-02 eta: 12:17:53 time: 0.5197 data_time: 0.0355 memory: 18104 grad_norm: 5.8274 loss: 2.9542 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.7535 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.2007 2023/02/02 23:17:02 - mmengine - INFO - Epoch(train) [211][ 600/1879] lr: 1.0089e-02 eta: 12:17:43 time: 0.5187 data_time: 0.0382 memory: 18104 grad_norm: 5.7109 loss: 2.8188 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.6016 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.2172 2023/02/02 23:17:12 - mmengine - INFO - Epoch(train) [211][ 620/1879] lr: 1.0084e-02 eta: 12:17:32 time: 0.5053 data_time: 0.0329 memory: 18104 grad_norm: 5.8179 loss: 2.8006 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.6476 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.1531 2023/02/02 23:17:22 - mmengine - INFO - Epoch(train) [211][ 640/1879] lr: 1.0080e-02 eta: 12:17:22 time: 0.5066 data_time: 0.0370 memory: 18104 grad_norm: 5.7638 loss: 2.7899 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6110 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 1.1789 2023/02/02 23:17:33 - mmengine - INFO - Epoch(train) [211][ 660/1879] lr: 1.0075e-02 eta: 12:17:12 time: 0.5183 data_time: 0.0285 memory: 18104 grad_norm: 5.7925 loss: 2.7939 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.5832 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.2106 2023/02/02 23:17:43 - mmengine - INFO - Epoch(train) [211][ 680/1879] lr: 1.0070e-02 eta: 12:17:01 time: 0.5110 data_time: 0.0396 memory: 18104 grad_norm: 5.6431 loss: 2.6691 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.4798 top1_acc_1: 0.8471 top5_acc_1: 0.9176 loss_cls_1: 1.1893 2023/02/02 23:17:53 - mmengine - INFO - Epoch(train) [211][ 700/1879] lr: 1.0066e-02 eta: 12:16:51 time: 0.5182 data_time: 0.0333 memory: 18104 grad_norm: 5.8491 loss: 2.8464 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5697 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.2767 2023/02/02 23:18:04 - mmengine - INFO - Epoch(train) [211][ 720/1879] lr: 1.0061e-02 eta: 12:16:41 time: 0.5211 data_time: 0.0369 memory: 18104 grad_norm: 5.8119 loss: 2.8286 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7021 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.1265 2023/02/02 23:18:14 - mmengine - INFO - Epoch(train) [211][ 740/1879] lr: 1.0057e-02 eta: 12:16:31 time: 0.5226 data_time: 0.0378 memory: 18104 grad_norm: 5.7555 loss: 2.9232 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.6267 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.2965 2023/02/02 23:18:24 - mmengine - INFO - Epoch(train) [211][ 760/1879] lr: 1.0052e-02 eta: 12:16:20 time: 0.5112 data_time: 0.0367 memory: 18104 grad_norm: 5.7651 loss: 2.8029 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.6781 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.1248 2023/02/02 23:18:35 - mmengine - INFO - Epoch(train) [211][ 780/1879] lr: 1.0048e-02 eta: 12:16:10 time: 0.5249 data_time: 0.0305 memory: 18104 grad_norm: 5.8204 loss: 3.0687 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.7941 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.2746 2023/02/02 23:18:45 - mmengine - INFO - Epoch(train) [211][ 800/1879] lr: 1.0043e-02 eta: 12:16:00 time: 0.5121 data_time: 0.0420 memory: 18104 grad_norm: 5.6974 loss: 2.8660 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6783 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.1877 2023/02/02 23:18:55 - mmengine - INFO - Epoch(train) [211][ 820/1879] lr: 1.0039e-02 eta: 12:15:49 time: 0.5138 data_time: 0.0310 memory: 18104 grad_norm: 5.8251 loss: 2.8949 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.6127 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.2822 2023/02/02 23:19:06 - mmengine - INFO - Epoch(train) [211][ 840/1879] lr: 1.0034e-02 eta: 12:15:39 time: 0.5262 data_time: 0.0355 memory: 18104 grad_norm: 5.8328 loss: 2.7718 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.5372 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.2347 2023/02/02 23:19:17 - mmengine - INFO - Epoch(train) [211][ 860/1879] lr: 1.0030e-02 eta: 12:15:29 time: 0.5299 data_time: 0.0324 memory: 18104 grad_norm: 5.6697 loss: 2.7625 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5170 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.2454 2023/02/02 23:19:27 - mmengine - INFO - Epoch(train) [211][ 880/1879] lr: 1.0025e-02 eta: 12:15:19 time: 0.5283 data_time: 0.0437 memory: 18104 grad_norm: 5.7764 loss: 2.9617 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7601 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 1.2016 2023/02/02 23:19:38 - mmengine - INFO - Epoch(train) [211][ 900/1879] lr: 1.0021e-02 eta: 12:15:09 time: 0.5151 data_time: 0.0300 memory: 18104 grad_norm: 5.7016 loss: 2.7940 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5581 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.2360 2023/02/02 23:19:48 - mmengine - INFO - Epoch(train) [211][ 920/1879] lr: 1.0016e-02 eta: 12:14:59 time: 0.5172 data_time: 0.0362 memory: 18104 grad_norm: 5.6113 loss: 2.6941 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5634 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.1306 2023/02/02 23:19:59 - mmengine - INFO - Epoch(train) [211][ 940/1879] lr: 1.0012e-02 eta: 12:14:49 time: 0.5304 data_time: 0.0313 memory: 18104 grad_norm: 5.6119 loss: 2.8434 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.6420 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.2014 2023/02/02 23:20:09 - mmengine - INFO - Epoch(train) [211][ 960/1879] lr: 1.0007e-02 eta: 12:14:38 time: 0.5215 data_time: 0.0412 memory: 18104 grad_norm: 5.8029 loss: 2.8899 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6940 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.1959 2023/02/02 23:20:20 - mmengine - INFO - Epoch(train) [211][ 980/1879] lr: 1.0003e-02 eta: 12:14:28 time: 0.5244 data_time: 0.0326 memory: 18104 grad_norm: 5.6364 loss: 2.8032 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 1.6188 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.1844 2023/02/02 23:20:30 - mmengine - INFO - Epoch(train) [211][1000/1879] lr: 9.9981e-03 eta: 12:14:18 time: 0.5321 data_time: 0.0380 memory: 18104 grad_norm: 5.6892 loss: 2.7039 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.5272 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.1767 2023/02/02 23:20:40 - mmengine - INFO - Epoch(train) [211][1020/1879] lr: 9.9936e-03 eta: 12:14:08 time: 0.5141 data_time: 0.0349 memory: 18104 grad_norm: 5.6708 loss: 2.8508 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.6723 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.1786 2023/02/02 23:20:51 - mmengine - INFO - Epoch(train) [211][1040/1879] lr: 9.9890e-03 eta: 12:13:58 time: 0.5138 data_time: 0.0365 memory: 18104 grad_norm: 5.7269 loss: 2.7005 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.5141 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.1864 2023/02/02 23:21:01 - mmengine - INFO - Epoch(train) [211][1060/1879] lr: 9.9845e-03 eta: 12:13:47 time: 0.5207 data_time: 0.0299 memory: 18104 grad_norm: 5.6426 loss: 2.7168 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5393 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.1775 2023/02/02 23:21:12 - mmengine - INFO - Epoch(train) [211][1080/1879] lr: 9.9800e-03 eta: 12:13:37 time: 0.5207 data_time: 0.0442 memory: 18104 grad_norm: 5.8263 loss: 3.0026 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.8039 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.1986 2023/02/02 23:21:22 - mmengine - INFO - Epoch(train) [211][1100/1879] lr: 9.9755e-03 eta: 12:13:27 time: 0.5186 data_time: 0.0324 memory: 18104 grad_norm: 5.6987 loss: 2.9967 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7851 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.2115 2023/02/02 23:21:32 - mmengine - INFO - Epoch(train) [211][1120/1879] lr: 9.9710e-03 eta: 12:13:17 time: 0.5199 data_time: 0.0373 memory: 18104 grad_norm: 5.7513 loss: 2.6579 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4590 top1_acc_1: 0.7529 top5_acc_1: 0.8588 loss_cls_1: 1.1989 2023/02/02 23:21:43 - mmengine - INFO - Epoch(train) [211][1140/1879] lr: 9.9665e-03 eta: 12:13:06 time: 0.5151 data_time: 0.0355 memory: 18104 grad_norm: 5.8395 loss: 2.7024 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5676 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.1349 2023/02/02 23:21:53 - mmengine - INFO - Epoch(train) [211][1160/1879] lr: 9.9620e-03 eta: 12:12:56 time: 0.5159 data_time: 0.0377 memory: 18104 grad_norm: 5.8835 loss: 2.9053 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6072 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.2980 2023/02/02 23:22:03 - mmengine - INFO - Epoch(train) [211][1180/1879] lr: 9.9574e-03 eta: 12:12:46 time: 0.5167 data_time: 0.0304 memory: 18104 grad_norm: 5.8056 loss: 2.8804 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6782 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.2022 2023/02/02 23:22:14 - mmengine - INFO - Epoch(train) [211][1200/1879] lr: 9.9529e-03 eta: 12:12:35 time: 0.5111 data_time: 0.0366 memory: 18104 grad_norm: 5.8571 loss: 2.7037 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.5368 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.1668 2023/02/02 23:22:24 - mmengine - INFO - Epoch(train) [211][1220/1879] lr: 9.9484e-03 eta: 12:12:25 time: 0.5169 data_time: 0.0374 memory: 18104 grad_norm: 5.8496 loss: 2.8751 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.7160 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.1592 2023/02/02 23:22:34 - mmengine - INFO - Epoch(train) [211][1240/1879] lr: 9.9439e-03 eta: 12:12:15 time: 0.5180 data_time: 0.0354 memory: 18104 grad_norm: 5.8142 loss: 2.7720 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5546 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.2173 2023/02/02 23:22:45 - mmengine - INFO - Epoch(train) [211][1260/1879] lr: 9.9394e-03 eta: 12:12:05 time: 0.5171 data_time: 0.0293 memory: 18104 grad_norm: 5.8774 loss: 3.0400 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.8831 top1_acc_1: 0.6824 top5_acc_1: 0.9294 loss_cls_1: 1.1569 2023/02/02 23:22:55 - mmengine - INFO - Epoch(train) [211][1280/1879] lr: 9.9349e-03 eta: 12:11:54 time: 0.5150 data_time: 0.0433 memory: 18104 grad_norm: 5.9807 loss: 2.6022 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4406 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.1616 2023/02/02 23:23:06 - mmengine - INFO - Epoch(train) [211][1300/1879] lr: 9.9304e-03 eta: 12:11:44 time: 0.5229 data_time: 0.0297 memory: 18104 grad_norm: 5.6327 loss: 2.6013 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4598 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 1.1415 2023/02/02 23:23:16 - mmengine - INFO - Epoch(train) [211][1320/1879] lr: 9.9259e-03 eta: 12:11:34 time: 0.5107 data_time: 0.0379 memory: 18104 grad_norm: 5.8608 loss: 2.7131 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.5220 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.1911 2023/02/02 23:23:26 - mmengine - INFO - Epoch(train) [211][1340/1879] lr: 9.9214e-03 eta: 12:11:23 time: 0.5040 data_time: 0.0394 memory: 18104 grad_norm: 5.8791 loss: 2.6538 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4842 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.1696 2023/02/02 23:23:36 - mmengine - INFO - Epoch(train) [211][1360/1879] lr: 9.9169e-03 eta: 12:11:13 time: 0.5111 data_time: 0.0341 memory: 18104 grad_norm: 5.6858 loss: 2.6832 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4711 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.2121 2023/02/02 23:23:47 - mmengine - INFO - Epoch(train) [211][1380/1879] lr: 9.9124e-03 eta: 12:11:02 time: 0.5187 data_time: 0.0331 memory: 18104 grad_norm: 5.8737 loss: 2.9454 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.7253 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2201 2023/02/02 23:23:57 - mmengine - INFO - Epoch(train) [211][1400/1879] lr: 9.9079e-03 eta: 12:10:52 time: 0.5070 data_time: 0.0355 memory: 18104 grad_norm: 5.6385 loss: 2.7500 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.5833 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.1667 2023/02/02 23:24:02 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 23:24:07 - mmengine - INFO - Epoch(train) [211][1420/1879] lr: 9.9034e-03 eta: 12:10:42 time: 0.5127 data_time: 0.0332 memory: 18104 grad_norm: 5.8064 loss: 2.7468 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.5670 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.1798 2023/02/02 23:24:17 - mmengine - INFO - Epoch(train) [211][1440/1879] lr: 9.8989e-03 eta: 12:10:31 time: 0.5120 data_time: 0.0358 memory: 18104 grad_norm: 5.9444 loss: 2.7019 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.5145 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.1874 2023/02/02 23:24:28 - mmengine - INFO - Epoch(train) [211][1460/1879] lr: 9.8944e-03 eta: 12:10:21 time: 0.5111 data_time: 0.0342 memory: 18104 grad_norm: 5.6922 loss: 2.8982 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7505 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.1477 2023/02/02 23:24:38 - mmengine - INFO - Epoch(train) [211][1480/1879] lr: 9.8899e-03 eta: 12:10:11 time: 0.5247 data_time: 0.0444 memory: 18104 grad_norm: 5.8225 loss: 2.8622 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6883 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.1739 2023/02/02 23:24:48 - mmengine - INFO - Epoch(train) [211][1500/1879] lr: 9.8854e-03 eta: 12:10:00 time: 0.5083 data_time: 0.0318 memory: 18104 grad_norm: 5.7665 loss: 2.8625 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.6670 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.1955 2023/02/02 23:24:59 - mmengine - INFO - Epoch(train) [211][1520/1879] lr: 9.8809e-03 eta: 12:09:50 time: 0.5110 data_time: 0.0370 memory: 18104 grad_norm: 5.7428 loss: 2.6697 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.5052 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.1645 2023/02/02 23:25:09 - mmengine - INFO - Epoch(train) [211][1540/1879] lr: 9.8764e-03 eta: 12:09:39 time: 0.5127 data_time: 0.0325 memory: 18104 grad_norm: 5.7596 loss: 2.7797 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6017 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.1780 2023/02/02 23:25:19 - mmengine - INFO - Epoch(train) [211][1560/1879] lr: 9.8719e-03 eta: 12:09:29 time: 0.5018 data_time: 0.0368 memory: 18104 grad_norm: 5.7768 loss: 2.6095 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3540 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.2556 2023/02/02 23:25:29 - mmengine - INFO - Epoch(train) [211][1580/1879] lr: 9.8674e-03 eta: 12:09:18 time: 0.5190 data_time: 0.0334 memory: 18104 grad_norm: 5.9244 loss: 2.9029 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6821 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.2207 2023/02/02 23:25:39 - mmengine - INFO - Epoch(train) [211][1600/1879] lr: 9.8629e-03 eta: 12:09:08 time: 0.5037 data_time: 0.0367 memory: 18104 grad_norm: 5.7742 loss: 2.8243 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.6304 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.1939 2023/02/02 23:25:50 - mmengine - INFO - Epoch(train) [211][1620/1879] lr: 9.8584e-03 eta: 12:08:58 time: 0.5241 data_time: 0.0383 memory: 18104 grad_norm: 5.6943 loss: 2.6741 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4900 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.1841 2023/02/02 23:26:00 - mmengine - INFO - Epoch(train) [211][1640/1879] lr: 9.8539e-03 eta: 12:08:47 time: 0.5116 data_time: 0.0369 memory: 18104 grad_norm: 5.9063 loss: 2.8167 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.6422 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.1745 2023/02/02 23:26:10 - mmengine - INFO - Epoch(train) [211][1660/1879] lr: 9.8495e-03 eta: 12:08:37 time: 0.5097 data_time: 0.0323 memory: 18104 grad_norm: 5.8081 loss: 2.8106 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5966 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.2140 2023/02/02 23:26:21 - mmengine - INFO - Epoch(train) [211][1680/1879] lr: 9.8450e-03 eta: 12:08:27 time: 0.5299 data_time: 0.0409 memory: 18104 grad_norm: 5.8715 loss: 2.7611 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.5822 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.1789 2023/02/02 23:26:31 - mmengine - INFO - Epoch(train) [211][1700/1879] lr: 9.8405e-03 eta: 12:08:16 time: 0.5094 data_time: 0.0355 memory: 18104 grad_norm: 5.8070 loss: 2.6043 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.4279 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.1764 2023/02/02 23:26:42 - mmengine - INFO - Epoch(train) [211][1720/1879] lr: 9.8360e-03 eta: 12:08:06 time: 0.5201 data_time: 0.0362 memory: 18104 grad_norm: 5.8034 loss: 2.8617 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.6823 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.1793 2023/02/02 23:26:52 - mmengine - INFO - Epoch(train) [211][1740/1879] lr: 9.8315e-03 eta: 12:07:56 time: 0.5266 data_time: 0.0326 memory: 18104 grad_norm: 5.9693 loss: 2.9012 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.6948 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.2064 2023/02/02 23:27:02 - mmengine - INFO - Epoch(train) [211][1760/1879] lr: 9.8270e-03 eta: 12:07:46 time: 0.5139 data_time: 0.0416 memory: 18104 grad_norm: 5.7756 loss: 2.9098 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.8118 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.0980 2023/02/02 23:27:13 - mmengine - INFO - Epoch(train) [211][1780/1879] lr: 9.8225e-03 eta: 12:07:36 time: 0.5195 data_time: 0.0333 memory: 18104 grad_norm: 5.8008 loss: 2.8577 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6868 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.1708 2023/02/02 23:27:24 - mmengine - INFO - Epoch(train) [211][1800/1879] lr: 9.8181e-03 eta: 12:07:26 time: 0.5349 data_time: 0.0380 memory: 18104 grad_norm: 5.7337 loss: 2.7426 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.5364 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.2063 2023/02/02 23:27:34 - mmengine - INFO - Epoch(train) [211][1820/1879] lr: 9.8136e-03 eta: 12:07:16 time: 0.5328 data_time: 0.0365 memory: 18104 grad_norm: 5.7703 loss: 2.6096 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.4614 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.1482 2023/02/02 23:27:45 - mmengine - INFO - Epoch(train) [211][1840/1879] lr: 9.8091e-03 eta: 12:07:06 time: 0.5246 data_time: 0.0382 memory: 18104 grad_norm: 5.8975 loss: 2.8091 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5494 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.2596 2023/02/02 23:27:55 - mmengine - INFO - Epoch(train) [211][1860/1879] lr: 9.8046e-03 eta: 12:06:56 time: 0.5284 data_time: 0.0302 memory: 18104 grad_norm: 5.7581 loss: 2.6786 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5056 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.1729 2023/02/02 23:28:05 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 23:28:05 - mmengine - INFO - Epoch(train) [211][1879/1879] lr: 9.8004e-03 eta: 12:06:46 time: 0.5055 data_time: 0.0271 memory: 18104 grad_norm: 5.8908 loss: 2.6786 top1_acc_0: 0.7143 top5_acc_0: 0.8571 loss_cls_0: 1.3924 top1_acc_1: 0.6588 top5_acc_1: 0.7882 loss_cls_1: 1.2861 2023/02/02 23:28:20 - mmengine - INFO - Epoch(train) [212][ 20/1879] lr: 9.7959e-03 eta: 12:06:40 time: 0.7314 data_time: 0.2697 memory: 18104 grad_norm: 5.7566 loss: 2.8206 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 1.5946 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.2260 2023/02/02 23:28:30 - mmengine - INFO - Epoch(train) [212][ 40/1879] lr: 9.7914e-03 eta: 12:06:29 time: 0.4858 data_time: 0.0341 memory: 18104 grad_norm: 5.8090 loss: 2.8047 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6517 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.1529 2023/02/02 23:28:40 - mmengine - INFO - Epoch(train) [212][ 60/1879] lr: 9.7869e-03 eta: 12:06:19 time: 0.4990 data_time: 0.0341 memory: 18104 grad_norm: 5.7600 loss: 2.6775 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.5322 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.1453 2023/02/02 23:28:50 - mmengine - INFO - Epoch(train) [212][ 80/1879] lr: 9.7825e-03 eta: 12:06:08 time: 0.5045 data_time: 0.0432 memory: 18104 grad_norm: 5.8473 loss: 2.8683 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.7262 top1_acc_1: 0.5765 top5_acc_1: 0.7882 loss_cls_1: 1.1421 2023/02/02 23:29:00 - mmengine - INFO - Epoch(train) [212][ 100/1879] lr: 9.7780e-03 eta: 12:05:57 time: 0.4828 data_time: 0.0358 memory: 18104 grad_norm: 5.6543 loss: 2.7687 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5671 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.2016 2023/02/02 23:29:09 - mmengine - INFO - Epoch(train) [212][ 120/1879] lr: 9.7735e-03 eta: 12:05:46 time: 0.4769 data_time: 0.0359 memory: 18104 grad_norm: 5.8624 loss: 2.7612 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.6078 top1_acc_1: 0.8118 top5_acc_1: 0.8941 loss_cls_1: 1.1534 2023/02/02 23:29:20 - mmengine - INFO - Epoch(train) [212][ 140/1879] lr: 9.7690e-03 eta: 12:05:35 time: 0.5071 data_time: 0.0358 memory: 18104 grad_norm: 5.6828 loss: 2.8374 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 1.6222 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.2151 2023/02/02 23:29:29 - mmengine - INFO - Epoch(train) [212][ 160/1879] lr: 9.7646e-03 eta: 12:05:24 time: 0.4885 data_time: 0.0401 memory: 18104 grad_norm: 5.7111 loss: 2.7178 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5014 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2165 2023/02/02 23:29:39 - mmengine - INFO - Epoch(train) [212][ 180/1879] lr: 9.7601e-03 eta: 12:05:13 time: 0.4821 data_time: 0.0342 memory: 18104 grad_norm: 5.7586 loss: 2.9333 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6993 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.2340 2023/02/02 23:29:49 - mmengine - INFO - Epoch(train) [212][ 200/1879] lr: 9.7556e-03 eta: 12:05:02 time: 0.4774 data_time: 0.0347 memory: 18104 grad_norm: 5.7504 loss: 2.8420 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6723 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.1697 2023/02/02 23:29:59 - mmengine - INFO - Epoch(train) [212][ 220/1879] lr: 9.7512e-03 eta: 12:04:51 time: 0.5007 data_time: 0.0368 memory: 18104 grad_norm: 5.7838 loss: 2.6529 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.5682 top1_acc_1: 0.7412 top5_acc_1: 0.8471 loss_cls_1: 1.0848 2023/02/02 23:30:08 - mmengine - INFO - Epoch(train) [212][ 240/1879] lr: 9.7467e-03 eta: 12:04:40 time: 0.4903 data_time: 0.0353 memory: 18104 grad_norm: 5.6746 loss: 2.7128 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.5450 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.1678 2023/02/02 23:30:18 - mmengine - INFO - Epoch(train) [212][ 260/1879] lr: 9.7422e-03 eta: 12:04:30 time: 0.4930 data_time: 0.0367 memory: 18104 grad_norm: 5.7830 loss: 2.7050 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.5594 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 1.1455 2023/02/02 23:30:28 - mmengine - INFO - Epoch(train) [212][ 280/1879] lr: 9.7378e-03 eta: 12:04:19 time: 0.4891 data_time: 0.0348 memory: 18104 grad_norm: 5.8292 loss: 2.5019 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.4190 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.0829 2023/02/02 23:30:38 - mmengine - INFO - Epoch(train) [212][ 300/1879] lr: 9.7333e-03 eta: 12:04:08 time: 0.4919 data_time: 0.0353 memory: 18104 grad_norm: 5.6659 loss: 2.8385 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.7001 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.1384 2023/02/02 23:30:48 - mmengine - INFO - Epoch(train) [212][ 320/1879] lr: 9.7288e-03 eta: 12:03:57 time: 0.4983 data_time: 0.0403 memory: 18104 grad_norm: 5.7015 loss: 2.8329 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.6182 top1_acc_1: 0.8353 top5_acc_1: 0.9176 loss_cls_1: 1.2147 2023/02/02 23:30:58 - mmengine - INFO - Epoch(train) [212][ 340/1879] lr: 9.7244e-03 eta: 12:03:46 time: 0.4995 data_time: 0.0344 memory: 18104 grad_norm: 5.7897 loss: 3.0872 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.9029 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.1843 2023/02/02 23:31:08 - mmengine - INFO - Epoch(train) [212][ 360/1879] lr: 9.7199e-03 eta: 12:03:35 time: 0.4811 data_time: 0.0328 memory: 18104 grad_norm: 5.8672 loss: 2.9668 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.8003 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.1665 2023/02/02 23:31:18 - mmengine - INFO - Epoch(train) [212][ 380/1879] lr: 9.7154e-03 eta: 12:03:25 time: 0.5002 data_time: 0.0339 memory: 18104 grad_norm: 5.7126 loss: 2.6334 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.4874 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.1461 2023/02/02 23:31:28 - mmengine - INFO - Epoch(train) [212][ 400/1879] lr: 9.7110e-03 eta: 12:03:14 time: 0.4992 data_time: 0.0400 memory: 18104 grad_norm: 5.7780 loss: 2.8674 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.6758 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.1915 2023/02/02 23:31:38 - mmengine - INFO - Epoch(train) [212][ 420/1879] lr: 9.7065e-03 eta: 12:03:03 time: 0.5032 data_time: 0.0351 memory: 18104 grad_norm: 5.7730 loss: 2.7293 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4999 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.2293 2023/02/02 23:31:48 - mmengine - INFO - Epoch(train) [212][ 440/1879] lr: 9.7021e-03 eta: 12:02:53 time: 0.5020 data_time: 0.0334 memory: 18104 grad_norm: 5.6934 loss: 2.5837 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.5293 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.0544 2023/02/02 23:31:58 - mmengine - INFO - Epoch(train) [212][ 460/1879] lr: 9.6976e-03 eta: 12:02:43 time: 0.5178 data_time: 0.0390 memory: 18104 grad_norm: 5.8111 loss: 2.7867 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6389 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 1.1478 2023/02/02 23:32:08 - mmengine - INFO - Epoch(train) [212][ 480/1879] lr: 9.6931e-03 eta: 12:02:32 time: 0.5007 data_time: 0.0343 memory: 18104 grad_norm: 5.8712 loss: 2.7186 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.5419 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.1766 2023/02/02 23:32:19 - mmengine - INFO - Epoch(train) [212][ 500/1879] lr: 9.6887e-03 eta: 12:02:22 time: 0.5167 data_time: 0.0387 memory: 18104 grad_norm: 5.8176 loss: 3.0193 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.8806 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.1387 2023/02/02 23:32:29 - mmengine - INFO - Epoch(train) [212][ 520/1879] lr: 9.6842e-03 eta: 12:02:11 time: 0.5030 data_time: 0.0283 memory: 18104 grad_norm: 5.6432 loss: 2.6511 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.4599 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.1911 2023/02/02 23:32:34 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 23:32:39 - mmengine - INFO - Epoch(train) [212][ 540/1879] lr: 9.6798e-03 eta: 12:02:01 time: 0.5128 data_time: 0.0452 memory: 18104 grad_norm: 5.7496 loss: 2.8947 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7567 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.1380 2023/02/02 23:32:49 - mmengine - INFO - Epoch(train) [212][ 560/1879] lr: 9.6753e-03 eta: 12:01:50 time: 0.4998 data_time: 0.0325 memory: 18104 grad_norm: 6.0200 loss: 2.7114 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5745 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.1369 2023/02/02 23:32:59 - mmengine - INFO - Epoch(train) [212][ 580/1879] lr: 9.6709e-03 eta: 12:01:40 time: 0.5121 data_time: 0.0375 memory: 18104 grad_norm: 5.8042 loss: 2.6569 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.4784 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.1786 2023/02/02 23:33:09 - mmengine - INFO - Epoch(train) [212][ 600/1879] lr: 9.6664e-03 eta: 12:01:29 time: 0.4925 data_time: 0.0310 memory: 18104 grad_norm: 5.8126 loss: 2.7824 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6009 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.1814 2023/02/02 23:33:19 - mmengine - INFO - Epoch(train) [212][ 620/1879] lr: 9.6620e-03 eta: 12:01:18 time: 0.4975 data_time: 0.0405 memory: 18104 grad_norm: 5.8901 loss: 2.7062 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.5650 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.1412 2023/02/02 23:33:29 - mmengine - INFO - Epoch(train) [212][ 640/1879] lr: 9.6575e-03 eta: 12:01:07 time: 0.4998 data_time: 0.0306 memory: 18104 grad_norm: 5.8563 loss: 2.9706 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8370 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.1336 2023/02/02 23:33:39 - mmengine - INFO - Epoch(train) [212][ 660/1879] lr: 9.6531e-03 eta: 12:00:57 time: 0.5029 data_time: 0.0406 memory: 18104 grad_norm: 5.7913 loss: 2.6700 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.4870 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.1830 2023/02/02 23:33:49 - mmengine - INFO - Epoch(train) [212][ 680/1879] lr: 9.6486e-03 eta: 12:00:46 time: 0.5121 data_time: 0.0367 memory: 18104 grad_norm: 5.7454 loss: 2.8744 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6681 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.2064 2023/02/02 23:33:59 - mmengine - INFO - Epoch(train) [212][ 700/1879] lr: 9.6442e-03 eta: 12:00:36 time: 0.5018 data_time: 0.0384 memory: 18104 grad_norm: 5.9063 loss: 2.7368 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5745 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.1623 2023/02/02 23:34:10 - mmengine - INFO - Epoch(train) [212][ 720/1879] lr: 9.6397e-03 eta: 12:00:25 time: 0.5155 data_time: 0.0289 memory: 18104 grad_norm: 5.9466 loss: 2.8247 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6523 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.1724 2023/02/02 23:34:20 - mmengine - INFO - Epoch(train) [212][ 740/1879] lr: 9.6353e-03 eta: 12:00:15 time: 0.5132 data_time: 0.0381 memory: 18104 grad_norm: 5.7481 loss: 2.7092 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4707 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.2384 2023/02/02 23:34:30 - mmengine - INFO - Epoch(train) [212][ 760/1879] lr: 9.6308e-03 eta: 12:00:05 time: 0.5086 data_time: 0.0294 memory: 18104 grad_norm: 5.8790 loss: 2.6649 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.5342 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.1308 2023/02/02 23:34:41 - mmengine - INFO - Epoch(train) [212][ 780/1879] lr: 9.6264e-03 eta: 11:59:54 time: 0.5177 data_time: 0.0381 memory: 18104 grad_norm: 5.9097 loss: 2.6879 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.5949 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.0930 2023/02/02 23:34:51 - mmengine - INFO - Epoch(train) [212][ 800/1879] lr: 9.6220e-03 eta: 11:59:44 time: 0.4996 data_time: 0.0305 memory: 18104 grad_norm: 5.8999 loss: 2.7972 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.6156 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.1816 2023/02/02 23:35:01 - mmengine - INFO - Epoch(train) [212][ 820/1879] lr: 9.6175e-03 eta: 11:59:33 time: 0.5079 data_time: 0.0444 memory: 18104 grad_norm: 5.8702 loss: 2.8722 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6753 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.1969 2023/02/02 23:35:11 - mmengine - INFO - Epoch(train) [212][ 840/1879] lr: 9.6131e-03 eta: 11:59:23 time: 0.5207 data_time: 0.0301 memory: 18104 grad_norm: 5.6359 loss: 2.7820 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.6033 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.1787 2023/02/02 23:35:21 - mmengine - INFO - Epoch(train) [212][ 860/1879] lr: 9.6086e-03 eta: 11:59:12 time: 0.5038 data_time: 0.0389 memory: 18104 grad_norm: 5.6982 loss: 2.8202 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.6806 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.1396 2023/02/02 23:35:32 - mmengine - INFO - Epoch(train) [212][ 880/1879] lr: 9.6042e-03 eta: 11:59:02 time: 0.5107 data_time: 0.0315 memory: 18104 grad_norm: 5.7270 loss: 2.7408 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.5896 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.1512 2023/02/02 23:35:42 - mmengine - INFO - Epoch(train) [212][ 900/1879] lr: 9.5998e-03 eta: 11:58:52 time: 0.5219 data_time: 0.0419 memory: 18104 grad_norm: 5.8071 loss: 3.0955 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7745 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.3211 2023/02/02 23:35:52 - mmengine - INFO - Epoch(train) [212][ 920/1879] lr: 9.5953e-03 eta: 11:58:41 time: 0.5133 data_time: 0.0310 memory: 18104 grad_norm: 5.7751 loss: 2.9411 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.7705 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.1706 2023/02/02 23:36:03 - mmengine - INFO - Epoch(train) [212][ 940/1879] lr: 9.5909e-03 eta: 11:58:31 time: 0.5051 data_time: 0.0391 memory: 18104 grad_norm: 5.8527 loss: 2.8958 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.6471 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.2487 2023/02/02 23:36:13 - mmengine - INFO - Epoch(train) [212][ 960/1879] lr: 9.5865e-03 eta: 11:58:20 time: 0.5092 data_time: 0.0314 memory: 18104 grad_norm: 5.7817 loss: 2.5670 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4548 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.1123 2023/02/02 23:36:23 - mmengine - INFO - Epoch(train) [212][ 980/1879] lr: 9.5820e-03 eta: 11:58:10 time: 0.5185 data_time: 0.0463 memory: 18104 grad_norm: 5.6658 loss: 3.0065 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.8136 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.1930 2023/02/02 23:36:33 - mmengine - INFO - Epoch(train) [212][1000/1879] lr: 9.5776e-03 eta: 11:57:59 time: 0.4936 data_time: 0.0302 memory: 18104 grad_norm: 5.7860 loss: 2.7685 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5213 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.2473 2023/02/02 23:36:43 - mmengine - INFO - Epoch(train) [212][1020/1879] lr: 9.5732e-03 eta: 11:57:49 time: 0.5003 data_time: 0.0367 memory: 18104 grad_norm: 5.8912 loss: 2.9067 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7478 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.1589 2023/02/02 23:36:53 - mmengine - INFO - Epoch(train) [212][1040/1879] lr: 9.5687e-03 eta: 11:57:38 time: 0.5063 data_time: 0.0322 memory: 18104 grad_norm: 5.7531 loss: 2.5770 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.4127 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.1643 2023/02/02 23:37:04 - mmengine - INFO - Epoch(train) [212][1060/1879] lr: 9.5643e-03 eta: 11:57:28 time: 0.5168 data_time: 0.0441 memory: 18104 grad_norm: 5.6376 loss: 2.5879 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3781 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.2098 2023/02/02 23:37:14 - mmengine - INFO - Epoch(train) [212][1080/1879] lr: 9.5599e-03 eta: 11:57:17 time: 0.5034 data_time: 0.0314 memory: 18104 grad_norm: 5.6624 loss: 2.5497 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4358 top1_acc_1: 0.7765 top5_acc_1: 0.9647 loss_cls_1: 1.1139 2023/02/02 23:37:24 - mmengine - INFO - Epoch(train) [212][1100/1879] lr: 9.5554e-03 eta: 11:57:07 time: 0.5066 data_time: 0.0353 memory: 18104 grad_norm: 5.7918 loss: 2.7372 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6289 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.1083 2023/02/02 23:37:34 - mmengine - INFO - Epoch(train) [212][1120/1879] lr: 9.5510e-03 eta: 11:56:56 time: 0.5102 data_time: 0.0393 memory: 18104 grad_norm: 5.8285 loss: 2.7773 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.6173 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.1600 2023/02/02 23:37:44 - mmengine - INFO - Epoch(train) [212][1140/1879] lr: 9.5466e-03 eta: 11:56:46 time: 0.5107 data_time: 0.0366 memory: 18104 grad_norm: 5.7875 loss: 2.9123 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7388 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.1735 2023/02/02 23:37:54 - mmengine - INFO - Epoch(train) [212][1160/1879] lr: 9.5422e-03 eta: 11:56:35 time: 0.5003 data_time: 0.0316 memory: 18104 grad_norm: 5.7801 loss: 2.6359 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4740 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.1619 2023/02/02 23:38:04 - mmengine - INFO - Epoch(train) [212][1180/1879] lr: 9.5377e-03 eta: 11:56:25 time: 0.5018 data_time: 0.0372 memory: 18104 grad_norm: 5.6897 loss: 2.6305 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.5828 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 1.0478 2023/02/02 23:38:14 - mmengine - INFO - Epoch(train) [212][1200/1879] lr: 9.5333e-03 eta: 11:56:14 time: 0.5014 data_time: 0.0388 memory: 18104 grad_norm: 5.7357 loss: 2.5814 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.3696 top1_acc_1: 0.6471 top5_acc_1: 0.9176 loss_cls_1: 1.2118 2023/02/02 23:38:25 - mmengine - INFO - Epoch(train) [212][1220/1879] lr: 9.5289e-03 eta: 11:56:04 time: 0.5113 data_time: 0.0389 memory: 18104 grad_norm: 5.8824 loss: 2.9341 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7410 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 1.1932 2023/02/02 23:38:35 - mmengine - INFO - Epoch(train) [212][1240/1879] lr: 9.5245e-03 eta: 11:55:53 time: 0.4979 data_time: 0.0302 memory: 18104 grad_norm: 5.8769 loss: 2.9602 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.8463 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.1139 2023/02/02 23:38:45 - mmengine - INFO - Epoch(train) [212][1260/1879] lr: 9.5200e-03 eta: 11:55:42 time: 0.5056 data_time: 0.0423 memory: 18104 grad_norm: 5.9328 loss: 2.9943 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7925 top1_acc_1: 0.7059 top5_acc_1: 0.8235 loss_cls_1: 1.2019 2023/02/02 23:38:55 - mmengine - INFO - Epoch(train) [212][1280/1879] lr: 9.5156e-03 eta: 11:55:32 time: 0.5190 data_time: 0.0304 memory: 18104 grad_norm: 5.8460 loss: 2.8402 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6328 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.2074 2023/02/02 23:39:05 - mmengine - INFO - Epoch(train) [212][1300/1879] lr: 9.5112e-03 eta: 11:55:22 time: 0.5080 data_time: 0.0369 memory: 18104 grad_norm: 5.9291 loss: 2.8899 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7697 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.1202 2023/02/02 23:39:15 - mmengine - INFO - Epoch(train) [212][1320/1879] lr: 9.5068e-03 eta: 11:55:11 time: 0.5014 data_time: 0.0322 memory: 18104 grad_norm: 5.8635 loss: 2.7221 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.5468 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.1753 2023/02/02 23:39:26 - mmengine - INFO - Epoch(train) [212][1340/1879] lr: 9.5024e-03 eta: 11:55:01 time: 0.5270 data_time: 0.0334 memory: 18104 grad_norm: 5.7397 loss: 2.7739 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5197 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.2542 2023/02/02 23:39:36 - mmengine - INFO - Epoch(train) [212][1360/1879] lr: 9.4979e-03 eta: 11:54:51 time: 0.5169 data_time: 0.0305 memory: 18104 grad_norm: 5.8915 loss: 2.6243 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.4935 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.1308 2023/02/02 23:39:47 - mmengine - INFO - Epoch(train) [212][1380/1879] lr: 9.4935e-03 eta: 11:54:40 time: 0.5149 data_time: 0.0392 memory: 18104 grad_norm: 5.8192 loss: 2.6678 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5118 top1_acc_1: 0.7647 top5_acc_1: 0.8588 loss_cls_1: 1.1560 2023/02/02 23:39:57 - mmengine - INFO - Epoch(train) [212][1400/1879] lr: 9.4891e-03 eta: 11:54:30 time: 0.5131 data_time: 0.0284 memory: 18104 grad_norm: 5.9490 loss: 2.7169 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4674 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.2495 2023/02/02 23:40:08 - mmengine - INFO - Epoch(train) [212][1420/1879] lr: 9.4847e-03 eta: 11:54:20 time: 0.5417 data_time: 0.0372 memory: 18104 grad_norm: 5.8564 loss: 2.7088 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5894 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.1194 2023/02/02 23:40:18 - mmengine - INFO - Epoch(train) [212][1440/1879] lr: 9.4803e-03 eta: 11:54:10 time: 0.5106 data_time: 0.0299 memory: 18104 grad_norm: 5.8131 loss: 2.7490 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.5740 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.1750 2023/02/02 23:40:28 - mmengine - INFO - Epoch(train) [212][1460/1879] lr: 9.4759e-03 eta: 11:54:00 time: 0.5154 data_time: 0.0434 memory: 18104 grad_norm: 5.8076 loss: 2.9165 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.7142 top1_acc_1: 0.7294 top5_acc_1: 0.8353 loss_cls_1: 1.2024 2023/02/02 23:40:39 - mmengine - INFO - Epoch(train) [212][1480/1879] lr: 9.4715e-03 eta: 11:53:50 time: 0.5277 data_time: 0.0299 memory: 18104 grad_norm: 5.7849 loss: 2.7289 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.5007 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 1.2282 2023/02/02 23:40:49 - mmengine - INFO - Epoch(train) [212][1500/1879] lr: 9.4671e-03 eta: 11:53:39 time: 0.5251 data_time: 0.0405 memory: 18104 grad_norm: 5.9339 loss: 2.8082 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.6049 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 1.2033 2023/02/02 23:41:00 - mmengine - INFO - Epoch(train) [212][1520/1879] lr: 9.4626e-03 eta: 11:53:29 time: 0.5043 data_time: 0.0303 memory: 18104 grad_norm: 5.7376 loss: 2.9027 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7929 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.1099 2023/02/02 23:41:05 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 23:41:10 - mmengine - INFO - Epoch(train) [212][1540/1879] lr: 9.4582e-03 eta: 11:53:19 time: 0.5302 data_time: 0.0452 memory: 18104 grad_norm: 5.6834 loss: 2.7970 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.5682 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.2288 2023/02/02 23:41:21 - mmengine - INFO - Epoch(train) [212][1560/1879] lr: 9.4538e-03 eta: 11:53:09 time: 0.5206 data_time: 0.0297 memory: 18104 grad_norm: 5.7443 loss: 2.8567 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.6616 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.1951 2023/02/02 23:41:31 - mmengine - INFO - Epoch(train) [212][1580/1879] lr: 9.4494e-03 eta: 11:52:58 time: 0.5161 data_time: 0.0363 memory: 18104 grad_norm: 5.8895 loss: 2.8588 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.6747 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.1841 2023/02/02 23:41:41 - mmengine - INFO - Epoch(train) [212][1600/1879] lr: 9.4450e-03 eta: 11:52:48 time: 0.5195 data_time: 0.0367 memory: 18104 grad_norm: 5.8880 loss: 2.9327 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7207 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.2120 2023/02/02 23:41:52 - mmengine - INFO - Epoch(train) [212][1620/1879] lr: 9.4406e-03 eta: 11:52:38 time: 0.5256 data_time: 0.0351 memory: 18104 grad_norm: 5.9437 loss: 2.7574 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.5747 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.1827 2023/02/02 23:42:02 - mmengine - INFO - Epoch(train) [212][1640/1879] lr: 9.4362e-03 eta: 11:52:28 time: 0.5202 data_time: 0.0299 memory: 18104 grad_norm: 5.8761 loss: 2.7513 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.6286 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.1227 2023/02/02 23:42:13 - mmengine - INFO - Epoch(train) [212][1660/1879] lr: 9.4318e-03 eta: 11:52:18 time: 0.5230 data_time: 0.0416 memory: 18104 grad_norm: 5.9868 loss: 2.8804 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6406 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.2398 2023/02/02 23:42:23 - mmengine - INFO - Epoch(train) [212][1680/1879] lr: 9.4274e-03 eta: 11:52:07 time: 0.5167 data_time: 0.0276 memory: 18104 grad_norm: 5.7300 loss: 2.7159 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.5066 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 1.2094 2023/02/02 23:42:34 - mmengine - INFO - Epoch(train) [212][1700/1879] lr: 9.4230e-03 eta: 11:51:57 time: 0.5313 data_time: 0.0355 memory: 18104 grad_norm: 5.9445 loss: 2.8373 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6496 top1_acc_1: 0.7647 top5_acc_1: 0.8706 loss_cls_1: 1.1877 2023/02/02 23:42:44 - mmengine - INFO - Epoch(train) [212][1720/1879] lr: 9.4186e-03 eta: 11:51:47 time: 0.4990 data_time: 0.0302 memory: 18104 grad_norm: 5.7617 loss: 2.7122 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.5847 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.1276 2023/02/02 23:42:55 - mmengine - INFO - Epoch(train) [212][1740/1879] lr: 9.4142e-03 eta: 11:51:37 time: 0.5474 data_time: 0.0434 memory: 18104 grad_norm: 5.7442 loss: 2.8491 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.6069 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.2423 2023/02/02 23:43:05 - mmengine - INFO - Epoch(train) [212][1760/1879] lr: 9.4098e-03 eta: 11:51:27 time: 0.5081 data_time: 0.0296 memory: 18104 grad_norm: 5.8355 loss: 2.7558 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.5252 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.2306 2023/02/02 23:43:15 - mmengine - INFO - Epoch(train) [212][1780/1879] lr: 9.4054e-03 eta: 11:51:16 time: 0.5103 data_time: 0.0368 memory: 18104 grad_norm: 5.9217 loss: 2.8840 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7357 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.1483 2023/02/02 23:43:26 - mmengine - INFO - Epoch(train) [212][1800/1879] lr: 9.4010e-03 eta: 11:51:06 time: 0.5162 data_time: 0.0383 memory: 18104 grad_norm: 5.8191 loss: 2.6210 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.5125 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.1086 2023/02/02 23:43:36 - mmengine - INFO - Epoch(train) [212][1820/1879] lr: 9.3966e-03 eta: 11:50:56 time: 0.5291 data_time: 0.0383 memory: 18104 grad_norm: 5.9846 loss: 2.8395 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6409 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.1986 2023/02/02 23:43:46 - mmengine - INFO - Epoch(train) [212][1840/1879] lr: 9.3922e-03 eta: 11:50:46 time: 0.5133 data_time: 0.0296 memory: 18104 grad_norm: 5.8780 loss: 3.0363 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7902 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.2461 2023/02/02 23:43:57 - mmengine - INFO - Epoch(train) [212][1860/1879] lr: 9.3878e-03 eta: 11:50:35 time: 0.5258 data_time: 0.0439 memory: 18104 grad_norm: 5.8429 loss: 2.9122 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7266 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.1857 2023/02/02 23:44:06 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 23:44:06 - mmengine - INFO - Epoch(train) [212][1879/1879] lr: 9.3837e-03 eta: 11:50:25 time: 0.4904 data_time: 0.0273 memory: 18104 grad_norm: 5.9972 loss: 2.7674 top1_acc_0: 0.8571 top5_acc_0: 1.0000 loss_cls_0: 1.5313 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.2360 2023/02/02 23:44:07 - mmengine - INFO - Saving checkpoint at 212 epochs 2023/02/02 23:44:18 - mmengine - INFO - Epoch(val) [212][ 20/155] eta: 0:01:01 time: 0.4575 data_time: 0.3448 memory: 1900 2023/02/02 23:44:27 - mmengine - INFO - Epoch(val) [212][ 40/155] eta: 0:00:51 time: 0.4467 data_time: 0.3339 memory: 1900 2023/02/02 23:44:35 - mmengine - INFO - Epoch(val) [212][ 60/155] eta: 0:00:42 time: 0.4354 data_time: 0.3242 memory: 1900 2023/02/02 23:44:44 - mmengine - INFO - Epoch(val) [212][ 80/155] eta: 0:00:33 time: 0.4553 data_time: 0.3442 memory: 1900 2023/02/02 23:44:53 - mmengine - INFO - Epoch(val) [212][100/155] eta: 0:00:24 time: 0.4510 data_time: 0.3400 memory: 1900 2023/02/02 23:45:02 - mmengine - INFO - Epoch(val) [212][120/155] eta: 0:00:15 time: 0.4504 data_time: 0.3346 memory: 1900 2023/02/02 23:45:11 - mmengine - INFO - Epoch(val) [212][140/155] eta: 0:00:06 time: 0.4368 data_time: 0.3240 memory: 1900 2023/02/02 23:45:19 - mmengine - INFO - Epoch(val) [212][155/155] acc/top1: 0.6440 acc/top5: 0.8547 acc/mean1: 0.6438 2023/02/02 23:45:19 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_208.pth is removed 2023/02/02 23:45:21 - mmengine - INFO - The best checkpoint with 0.6440 acc/top1 at 212 epoch is saved to best_acc/top1_epoch_212.pth. 2023/02/02 23:45:35 - mmengine - INFO - Epoch(train) [213][ 20/1879] lr: 9.3793e-03 eta: 11:50:19 time: 0.6880 data_time: 0.2288 memory: 18104 grad_norm: 5.8629 loss: 2.8294 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6344 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.1950 2023/02/02 23:45:44 - mmengine - INFO - Epoch(train) [213][ 40/1879] lr: 9.3749e-03 eta: 11:50:07 time: 0.4798 data_time: 0.0338 memory: 18104 grad_norm: 5.7872 loss: 3.0014 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7812 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.2202 2023/02/02 23:45:54 - mmengine - INFO - Epoch(train) [213][ 60/1879] lr: 9.3705e-03 eta: 11:49:57 time: 0.5020 data_time: 0.0363 memory: 18104 grad_norm: 5.8497 loss: 2.5832 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5282 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.0550 2023/02/02 23:46:04 - mmengine - INFO - Epoch(train) [213][ 80/1879] lr: 9.3661e-03 eta: 11:49:46 time: 0.5076 data_time: 0.0417 memory: 18104 grad_norm: 5.8030 loss: 2.7436 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6124 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 1.1312 2023/02/02 23:46:14 - mmengine - INFO - Epoch(train) [213][ 100/1879] lr: 9.3617e-03 eta: 11:49:35 time: 0.4889 data_time: 0.0362 memory: 18104 grad_norm: 5.7731 loss: 2.5307 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4201 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.1106 2023/02/02 23:46:24 - mmengine - INFO - Epoch(train) [213][ 120/1879] lr: 9.3573e-03 eta: 11:49:25 time: 0.4921 data_time: 0.0299 memory: 18104 grad_norm: 5.8885 loss: 2.7964 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7070 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.0894 2023/02/02 23:46:35 - mmengine - INFO - Epoch(train) [213][ 140/1879] lr: 9.3529e-03 eta: 11:49:15 time: 0.5359 data_time: 0.0453 memory: 18104 grad_norm: 5.9824 loss: 2.7554 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.5795 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.1759 2023/02/02 23:46:45 - mmengine - INFO - Epoch(train) [213][ 160/1879] lr: 9.3486e-03 eta: 11:49:04 time: 0.4897 data_time: 0.0325 memory: 18104 grad_norm: 5.6348 loss: 2.6094 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.4745 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.1349 2023/02/02 23:46:54 - mmengine - INFO - Epoch(train) [213][ 180/1879] lr: 9.3442e-03 eta: 11:48:53 time: 0.4879 data_time: 0.0367 memory: 18104 grad_norm: 5.7256 loss: 2.6633 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4967 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.1666 2023/02/02 23:47:04 - mmengine - INFO - Epoch(train) [213][ 200/1879] lr: 9.3398e-03 eta: 11:48:42 time: 0.5008 data_time: 0.0319 memory: 18104 grad_norm: 5.8395 loss: 2.8410 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6648 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.1762 2023/02/02 23:47:15 - mmengine - INFO - Epoch(train) [213][ 220/1879] lr: 9.3354e-03 eta: 11:48:32 time: 0.5127 data_time: 0.0420 memory: 18104 grad_norm: 5.7265 loss: 2.8264 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6142 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.2122 2023/02/02 23:47:24 - mmengine - INFO - Epoch(train) [213][ 240/1879] lr: 9.3310e-03 eta: 11:48:21 time: 0.4825 data_time: 0.0312 memory: 18104 grad_norm: 5.6852 loss: 2.7651 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6487 top1_acc_1: 0.6824 top5_acc_1: 0.9294 loss_cls_1: 1.1164 2023/02/02 23:47:34 - mmengine - INFO - Epoch(train) [213][ 260/1879] lr: 9.3266e-03 eta: 11:48:10 time: 0.5025 data_time: 0.0361 memory: 18104 grad_norm: 5.6830 loss: 2.7075 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.5733 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.1342 2023/02/02 23:47:45 - mmengine - INFO - Epoch(train) [213][ 280/1879] lr: 9.3223e-03 eta: 11:48:00 time: 0.5036 data_time: 0.0316 memory: 18104 grad_norm: 5.8280 loss: 2.6922 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5991 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.0932 2023/02/02 23:47:55 - mmengine - INFO - Epoch(train) [213][ 300/1879] lr: 9.3179e-03 eta: 11:47:49 time: 0.5006 data_time: 0.0450 memory: 18104 grad_norm: 5.9131 loss: 2.6590 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.5764 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.0826 2023/02/02 23:48:05 - mmengine - INFO - Epoch(train) [213][ 320/1879] lr: 9.3135e-03 eta: 11:47:38 time: 0.4972 data_time: 0.0319 memory: 18104 grad_norm: 5.9056 loss: 2.8675 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.6529 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.2146 2023/02/02 23:48:15 - mmengine - INFO - Epoch(train) [213][ 340/1879] lr: 9.3091e-03 eta: 11:47:28 time: 0.5188 data_time: 0.0348 memory: 18104 grad_norm: 5.8818 loss: 2.8415 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.6805 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 1.1610 2023/02/02 23:48:25 - mmengine - INFO - Epoch(train) [213][ 360/1879] lr: 9.3047e-03 eta: 11:47:17 time: 0.4931 data_time: 0.0382 memory: 18104 grad_norm: 5.7380 loss: 2.7407 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.6691 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.0716 2023/02/02 23:48:35 - mmengine - INFO - Epoch(train) [213][ 380/1879] lr: 9.3004e-03 eta: 11:47:07 time: 0.4980 data_time: 0.0352 memory: 18104 grad_norm: 5.7962 loss: 2.7935 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.5771 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 1.2164 2023/02/02 23:48:45 - mmengine - INFO - Epoch(train) [213][ 400/1879] lr: 9.2960e-03 eta: 11:46:56 time: 0.5068 data_time: 0.0321 memory: 18104 grad_norm: 5.7325 loss: 2.4994 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3684 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.1310 2023/02/02 23:48:55 - mmengine - INFO - Epoch(train) [213][ 420/1879] lr: 9.2916e-03 eta: 11:46:46 time: 0.5121 data_time: 0.0376 memory: 18104 grad_norm: 5.7759 loss: 2.5548 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3716 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.1832 2023/02/02 23:49:05 - mmengine - INFO - Epoch(train) [213][ 440/1879] lr: 9.2873e-03 eta: 11:46:35 time: 0.4903 data_time: 0.0398 memory: 18104 grad_norm: 5.9357 loss: 2.7824 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6076 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 1.1748 2023/02/02 23:49:15 - mmengine - INFO - Epoch(train) [213][ 460/1879] lr: 9.2829e-03 eta: 11:46:24 time: 0.5088 data_time: 0.0365 memory: 18104 grad_norm: 5.9456 loss: 2.9708 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7518 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.2190 2023/02/02 23:49:26 - mmengine - INFO - Epoch(train) [213][ 480/1879] lr: 9.2785e-03 eta: 11:46:14 time: 0.5116 data_time: 0.0325 memory: 18104 grad_norm: 5.6750 loss: 2.6314 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5431 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0884 2023/02/02 23:49:36 - mmengine - INFO - Epoch(train) [213][ 500/1879] lr: 9.2741e-03 eta: 11:46:03 time: 0.4976 data_time: 0.0429 memory: 18104 grad_norm: 5.9149 loss: 2.7565 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4814 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.2750 2023/02/02 23:49:46 - mmengine - INFO - Epoch(train) [213][ 520/1879] lr: 9.2698e-03 eta: 11:45:53 time: 0.5007 data_time: 0.0335 memory: 18104 grad_norm: 5.8998 loss: 3.0054 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.7764 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.2290 2023/02/02 23:49:56 - mmengine - INFO - Epoch(train) [213][ 540/1879] lr: 9.2654e-03 eta: 11:45:42 time: 0.5091 data_time: 0.0360 memory: 18104 grad_norm: 5.9193 loss: 2.7212 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.5522 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.1690 2023/02/02 23:50:06 - mmengine - INFO - Epoch(train) [213][ 560/1879] lr: 9.2610e-03 eta: 11:45:32 time: 0.4989 data_time: 0.0331 memory: 18104 grad_norm: 5.8603 loss: 2.7300 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6321 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.0979 2023/02/02 23:50:16 - mmengine - INFO - Epoch(train) [213][ 580/1879] lr: 9.2567e-03 eta: 11:45:21 time: 0.5164 data_time: 0.0448 memory: 18104 grad_norm: 5.9803 loss: 2.7710 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6549 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.1161 2023/02/02 23:50:26 - mmengine - INFO - Epoch(train) [213][ 600/1879] lr: 9.2523e-03 eta: 11:45:11 time: 0.5050 data_time: 0.0314 memory: 18104 grad_norm: 5.9838 loss: 2.8964 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7508 top1_acc_1: 0.6706 top5_acc_1: 0.9294 loss_cls_1: 1.1457 2023/02/02 23:50:37 - mmengine - INFO - Epoch(train) [213][ 620/1879] lr: 9.2479e-03 eta: 11:45:01 time: 0.5189 data_time: 0.0352 memory: 18104 grad_norm: 5.9895 loss: 2.8813 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7953 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.0860 2023/02/02 23:50:47 - mmengine - INFO - Epoch(train) [213][ 640/1879] lr: 9.2436e-03 eta: 11:44:50 time: 0.5236 data_time: 0.0324 memory: 18104 grad_norm: 5.8519 loss: 2.7797 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.6178 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.1620 2023/02/02 23:50:53 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 23:50:57 - mmengine - INFO - Epoch(train) [213][ 660/1879] lr: 9.2392e-03 eta: 11:44:40 time: 0.5146 data_time: 0.0424 memory: 18104 grad_norm: 5.7515 loss: 2.7755 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6439 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.1316 2023/02/02 23:51:08 - mmengine - INFO - Epoch(train) [213][ 680/1879] lr: 9.2349e-03 eta: 11:44:30 time: 0.5282 data_time: 0.0303 memory: 18104 grad_norm: 5.8082 loss: 2.6609 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5570 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.1040 2023/02/02 23:51:18 - mmengine - INFO - Epoch(train) [213][ 700/1879] lr: 9.2305e-03 eta: 11:44:20 time: 0.5174 data_time: 0.0351 memory: 18104 grad_norm: 5.6706 loss: 2.6002 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5092 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.0910 2023/02/02 23:51:29 - mmengine - INFO - Epoch(train) [213][ 720/1879] lr: 9.2261e-03 eta: 11:44:10 time: 0.5258 data_time: 0.0382 memory: 18104 grad_norm: 5.7445 loss: 2.5792 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4483 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 1.1308 2023/02/02 23:51:39 - mmengine - INFO - Epoch(train) [213][ 740/1879] lr: 9.2218e-03 eta: 11:44:00 time: 0.5228 data_time: 0.0361 memory: 18104 grad_norm: 5.8317 loss: 2.7693 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6707 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.0986 2023/02/02 23:51:50 - mmengine - INFO - Epoch(train) [213][ 760/1879] lr: 9.2174e-03 eta: 11:43:49 time: 0.5140 data_time: 0.0312 memory: 18104 grad_norm: 5.7597 loss: 2.6200 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.5010 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.1189 2023/02/02 23:52:00 - mmengine - INFO - Epoch(train) [213][ 780/1879] lr: 9.2131e-03 eta: 11:43:39 time: 0.5208 data_time: 0.0349 memory: 18104 grad_norm: 5.8583 loss: 2.6404 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.4868 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.1536 2023/02/02 23:52:10 - mmengine - INFO - Epoch(train) [213][ 800/1879] lr: 9.2087e-03 eta: 11:43:28 time: 0.5029 data_time: 0.0322 memory: 18104 grad_norm: 5.8840 loss: 2.5981 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4252 top1_acc_1: 0.7882 top5_acc_1: 0.8824 loss_cls_1: 1.1729 2023/02/02 23:52:21 - mmengine - INFO - Epoch(train) [213][ 820/1879] lr: 9.2044e-03 eta: 11:43:18 time: 0.5214 data_time: 0.0367 memory: 18104 grad_norm: 6.0526 loss: 2.7138 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5870 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.1268 2023/02/02 23:52:31 - mmengine - INFO - Epoch(train) [213][ 840/1879] lr: 9.2000e-03 eta: 11:43:08 time: 0.5180 data_time: 0.0314 memory: 18104 grad_norm: 5.9552 loss: 2.5878 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.4110 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.1768 2023/02/02 23:52:42 - mmengine - INFO - Epoch(train) [213][ 860/1879] lr: 9.1956e-03 eta: 11:42:58 time: 0.5255 data_time: 0.0431 memory: 18104 grad_norm: 5.9161 loss: 2.5839 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4793 top1_acc_1: 0.8706 top5_acc_1: 0.9647 loss_cls_1: 1.1046 2023/02/02 23:52:52 - mmengine - INFO - Epoch(train) [213][ 880/1879] lr: 9.1913e-03 eta: 11:42:48 time: 0.5205 data_time: 0.0308 memory: 18104 grad_norm: 5.7514 loss: 2.6044 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 1.5235 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 1.0809 2023/02/02 23:53:03 - mmengine - INFO - Epoch(train) [213][ 900/1879] lr: 9.1869e-03 eta: 11:42:38 time: 0.5230 data_time: 0.0369 memory: 18104 grad_norm: 5.8420 loss: 2.8497 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6356 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.2141 2023/02/02 23:53:13 - mmengine - INFO - Epoch(train) [213][ 920/1879] lr: 9.1826e-03 eta: 11:42:27 time: 0.5191 data_time: 0.0305 memory: 18104 grad_norm: 5.9204 loss: 2.7525 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.5507 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.2018 2023/02/02 23:53:23 - mmengine - INFO - Epoch(train) [213][ 940/1879] lr: 9.1782e-03 eta: 11:42:17 time: 0.5245 data_time: 0.0433 memory: 18104 grad_norm: 5.8891 loss: 2.5945 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5089 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.0856 2023/02/02 23:53:34 - mmengine - INFO - Epoch(train) [213][ 960/1879] lr: 9.1739e-03 eta: 11:42:07 time: 0.5114 data_time: 0.0303 memory: 18104 grad_norm: 5.7757 loss: 2.6281 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4440 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.1841 2023/02/02 23:53:44 - mmengine - INFO - Epoch(train) [213][ 980/1879] lr: 9.1695e-03 eta: 11:41:57 time: 0.5303 data_time: 0.0371 memory: 18104 grad_norm: 5.7097 loss: 2.6744 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5324 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.1420 2023/02/02 23:53:55 - mmengine - INFO - Epoch(train) [213][1000/1879] lr: 9.1652e-03 eta: 11:41:46 time: 0.5134 data_time: 0.0290 memory: 18104 grad_norm: 5.7185 loss: 2.8626 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6687 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.1939 2023/02/02 23:54:05 - mmengine - INFO - Epoch(train) [213][1020/1879] lr: 9.1609e-03 eta: 11:41:36 time: 0.5238 data_time: 0.0438 memory: 18104 grad_norm: 6.0038 loss: 2.9157 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7221 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.1937 2023/02/02 23:54:16 - mmengine - INFO - Epoch(train) [213][1040/1879] lr: 9.1565e-03 eta: 11:41:26 time: 0.5221 data_time: 0.0294 memory: 18104 grad_norm: 5.9492 loss: 2.9113 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.8088 top1_acc_1: 0.6941 top5_acc_1: 0.9529 loss_cls_1: 1.1025 2023/02/02 23:54:26 - mmengine - INFO - Epoch(train) [213][1060/1879] lr: 9.1522e-03 eta: 11:41:16 time: 0.5201 data_time: 0.0370 memory: 18104 grad_norm: 5.9390 loss: 2.5490 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.3630 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.1860 2023/02/02 23:54:36 - mmengine - INFO - Epoch(train) [213][1080/1879] lr: 9.1478e-03 eta: 11:41:06 time: 0.5169 data_time: 0.0303 memory: 18104 grad_norm: 5.9556 loss: 2.6874 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5561 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 1.1312 2023/02/02 23:54:47 - mmengine - INFO - Epoch(train) [213][1100/1879] lr: 9.1435e-03 eta: 11:40:55 time: 0.5157 data_time: 0.0365 memory: 18104 grad_norm: 5.8634 loss: 3.0006 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.9001 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.1005 2023/02/02 23:54:57 - mmengine - INFO - Epoch(train) [213][1120/1879] lr: 9.1391e-03 eta: 11:40:45 time: 0.5223 data_time: 0.0294 memory: 18104 grad_norm: 6.0035 loss: 2.7440 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.6118 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.1322 2023/02/02 23:55:07 - mmengine - INFO - Epoch(train) [213][1140/1879] lr: 9.1348e-03 eta: 11:40:35 time: 0.5130 data_time: 0.0360 memory: 18104 grad_norm: 5.8660 loss: 2.9308 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 1.6676 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.2632 2023/02/02 23:55:18 - mmengine - INFO - Epoch(train) [213][1160/1879] lr: 9.1305e-03 eta: 11:40:25 time: 0.5331 data_time: 0.0370 memory: 18104 grad_norm: 5.8759 loss: 2.9132 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.7331 top1_acc_1: 0.7882 top5_acc_1: 0.8706 loss_cls_1: 1.1800 2023/02/02 23:55:28 - mmengine - INFO - Epoch(train) [213][1180/1879] lr: 9.1261e-03 eta: 11:40:14 time: 0.5070 data_time: 0.0354 memory: 18104 grad_norm: 5.9837 loss: 2.5411 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3475 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.1936 2023/02/02 23:55:39 - mmengine - INFO - Epoch(train) [213][1200/1879] lr: 9.1218e-03 eta: 11:40:04 time: 0.5198 data_time: 0.0304 memory: 18104 grad_norm: 5.8791 loss: 2.8351 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7016 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.1336 2023/02/02 23:55:49 - mmengine - INFO - Epoch(train) [213][1220/1879] lr: 9.1174e-03 eta: 11:39:54 time: 0.5068 data_time: 0.0440 memory: 18104 grad_norm: 5.6801 loss: 2.4836 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.3899 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.0938 2023/02/02 23:55:59 - mmengine - INFO - Epoch(train) [213][1240/1879] lr: 9.1131e-03 eta: 11:39:43 time: 0.5111 data_time: 0.0323 memory: 18104 grad_norm: 5.7904 loss: 2.5790 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.4548 top1_acc_1: 0.8118 top5_acc_1: 0.8824 loss_cls_1: 1.1242 2023/02/02 23:56:10 - mmengine - INFO - Epoch(train) [213][1260/1879] lr: 9.1088e-03 eta: 11:39:33 time: 0.5242 data_time: 0.0326 memory: 18104 grad_norm: 5.8525 loss: 2.7759 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6222 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.1537 2023/02/02 23:56:20 - mmengine - INFO - Epoch(train) [213][1280/1879] lr: 9.1044e-03 eta: 11:39:23 time: 0.5124 data_time: 0.0313 memory: 18104 grad_norm: 5.8724 loss: 2.8364 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7577 top1_acc_1: 0.6941 top5_acc_1: 0.9529 loss_cls_1: 1.0787 2023/02/02 23:56:30 - mmengine - INFO - Epoch(train) [213][1300/1879] lr: 9.1001e-03 eta: 11:39:12 time: 0.5159 data_time: 0.0397 memory: 18104 grad_norm: 5.8266 loss: 2.7820 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6681 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.1139 2023/02/02 23:56:40 - mmengine - INFO - Epoch(train) [213][1320/1879] lr: 9.0958e-03 eta: 11:39:02 time: 0.5047 data_time: 0.0315 memory: 18104 grad_norm: 5.9529 loss: 2.9638 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.7823 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.1815 2023/02/02 23:56:51 - mmengine - INFO - Epoch(train) [213][1340/1879] lr: 9.0915e-03 eta: 11:38:51 time: 0.5111 data_time: 0.0350 memory: 18104 grad_norm: 5.7773 loss: 2.7050 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.5376 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.1675 2023/02/02 23:57:01 - mmengine - INFO - Epoch(train) [213][1360/1879] lr: 9.0871e-03 eta: 11:38:41 time: 0.5258 data_time: 0.0337 memory: 18104 grad_norm: 5.9625 loss: 2.9081 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6562 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.2519 2023/02/02 23:57:11 - mmengine - INFO - Epoch(train) [213][1380/1879] lr: 9.0828e-03 eta: 11:38:31 time: 0.5129 data_time: 0.0354 memory: 18104 grad_norm: 5.7869 loss: 2.5959 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4616 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.1343 2023/02/02 23:57:22 - mmengine - INFO - Epoch(train) [213][1400/1879] lr: 9.0785e-03 eta: 11:38:21 time: 0.5228 data_time: 0.0393 memory: 18104 grad_norm: 5.7433 loss: 2.7126 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5240 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.1887 2023/02/02 23:57:32 - mmengine - INFO - Epoch(train) [213][1420/1879] lr: 9.0741e-03 eta: 11:38:11 time: 0.5235 data_time: 0.0336 memory: 18104 grad_norm: 5.8978 loss: 2.6993 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.5440 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.1553 2023/02/02 23:57:43 - mmengine - INFO - Epoch(train) [213][1440/1879] lr: 9.0698e-03 eta: 11:38:00 time: 0.5076 data_time: 0.0321 memory: 18104 grad_norm: 5.9921 loss: 2.8031 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6557 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 1.1474 2023/02/02 23:57:53 - mmengine - INFO - Epoch(train) [213][1460/1879] lr: 9.0655e-03 eta: 11:37:50 time: 0.5170 data_time: 0.0425 memory: 18104 grad_norm: 6.0141 loss: 2.6899 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.5428 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.1471 2023/02/02 23:58:03 - mmengine - INFO - Epoch(train) [213][1480/1879] lr: 9.0612e-03 eta: 11:37:40 time: 0.5181 data_time: 0.0322 memory: 18104 grad_norm: 5.9740 loss: 2.7995 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.5601 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.2394 2023/02/02 23:58:14 - mmengine - INFO - Epoch(train) [213][1500/1879] lr: 9.0568e-03 eta: 11:37:29 time: 0.5152 data_time: 0.0328 memory: 18104 grad_norm: 6.1064 loss: 2.8512 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6396 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.2116 2023/02/02 23:58:24 - mmengine - INFO - Epoch(train) [213][1520/1879] lr: 9.0525e-03 eta: 11:37:19 time: 0.5108 data_time: 0.0387 memory: 18104 grad_norm: 5.9904 loss: 2.6334 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4413 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.1920 2023/02/02 23:58:35 - mmengine - INFO - Epoch(train) [213][1540/1879] lr: 9.0482e-03 eta: 11:37:09 time: 0.5316 data_time: 0.0335 memory: 18104 grad_norm: 5.7651 loss: 2.6706 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.4991 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.1715 2023/02/02 23:58:45 - mmengine - INFO - Epoch(train) [213][1560/1879] lr: 9.0439e-03 eta: 11:36:59 time: 0.5205 data_time: 0.0319 memory: 18104 grad_norm: 5.8746 loss: 2.9901 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7634 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.2267 2023/02/02 23:58:55 - mmengine - INFO - Epoch(train) [213][1580/1879] lr: 9.0396e-03 eta: 11:36:48 time: 0.5125 data_time: 0.0340 memory: 18104 grad_norm: 5.8905 loss: 2.6966 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 1.5515 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.1451 2023/02/02 23:59:06 - mmengine - INFO - Epoch(train) [213][1600/1879] lr: 9.0352e-03 eta: 11:36:38 time: 0.5197 data_time: 0.0314 memory: 18104 grad_norm: 5.9187 loss: 2.9452 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.8191 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.1261 2023/02/02 23:59:16 - mmengine - INFO - Epoch(train) [213][1620/1879] lr: 9.0309e-03 eta: 11:36:28 time: 0.5289 data_time: 0.0414 memory: 18104 grad_norm: 6.0104 loss: 2.7280 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.5589 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.1691 2023/02/02 23:59:27 - mmengine - INFO - Epoch(train) [213][1640/1879] lr: 9.0266e-03 eta: 11:36:18 time: 0.5135 data_time: 0.0329 memory: 18104 grad_norm: 5.8893 loss: 3.0250 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.7870 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.2379 2023/02/02 23:59:33 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/02 23:59:37 - mmengine - INFO - Epoch(train) [213][1660/1879] lr: 9.0223e-03 eta: 11:36:07 time: 0.5080 data_time: 0.0340 memory: 18104 grad_norm: 5.9055 loss: 3.0025 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.8205 top1_acc_1: 0.7529 top5_acc_1: 0.8471 loss_cls_1: 1.1820 2023/02/02 23:59:48 - mmengine - INFO - Epoch(train) [213][1680/1879] lr: 9.0180e-03 eta: 11:35:58 time: 0.5425 data_time: 0.0326 memory: 18104 grad_norm: 5.9208 loss: 2.6483 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.5322 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.1161 2023/02/02 23:59:58 - mmengine - INFO - Epoch(train) [213][1700/1879] lr: 9.0137e-03 eta: 11:35:48 time: 0.5430 data_time: 0.0318 memory: 18104 grad_norm: 5.7990 loss: 2.7604 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.6792 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.0812 2023/02/03 00:00:09 - mmengine - INFO - Epoch(train) [213][1720/1879] lr: 9.0093e-03 eta: 11:35:38 time: 0.5238 data_time: 0.0352 memory: 18104 grad_norm: 5.8318 loss: 2.8040 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5532 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.2508 2023/02/03 00:00:20 - mmengine - INFO - Epoch(train) [213][1740/1879] lr: 9.0050e-03 eta: 11:35:28 time: 0.5325 data_time: 0.0351 memory: 18104 grad_norm: 6.0262 loss: 2.5678 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4557 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.1121 2023/02/03 00:00:30 - mmengine - INFO - Epoch(train) [213][1760/1879] lr: 9.0007e-03 eta: 11:35:18 time: 0.5232 data_time: 0.0370 memory: 18104 grad_norm: 5.9430 loss: 2.7508 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5524 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.1985 2023/02/03 00:00:41 - mmengine - INFO - Epoch(train) [213][1780/1879] lr: 8.9964e-03 eta: 11:35:08 time: 0.5365 data_time: 0.0380 memory: 18104 grad_norm: 5.9609 loss: 2.8436 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.6316 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.2120 2023/02/03 00:00:51 - mmengine - INFO - Epoch(train) [213][1800/1879] lr: 8.9921e-03 eta: 11:34:57 time: 0.5145 data_time: 0.0308 memory: 18104 grad_norm: 5.9403 loss: 2.6743 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4651 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.2091 2023/02/03 00:01:02 - mmengine - INFO - Epoch(train) [213][1820/1879] lr: 8.9878e-03 eta: 11:34:48 time: 0.5565 data_time: 0.0426 memory: 18104 grad_norm: 5.8732 loss: 2.9824 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.7901 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.1923 2023/02/03 00:01:13 - mmengine - INFO - Epoch(train) [213][1840/1879] lr: 8.9835e-03 eta: 11:34:38 time: 0.5247 data_time: 0.0310 memory: 18104 grad_norm: 5.9015 loss: 2.6222 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4346 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.1875 2023/02/03 00:01:23 - mmengine - INFO - Epoch(train) [213][1860/1879] lr: 8.9792e-03 eta: 11:34:28 time: 0.5177 data_time: 0.0357 memory: 18104 grad_norm: 5.9977 loss: 2.8946 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.7199 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.1747 2023/02/03 00:01:33 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 00:01:33 - mmengine - INFO - Epoch(train) [213][1879/1879] lr: 8.9751e-03 eta: 11:34:18 time: 0.5141 data_time: 0.0271 memory: 18104 grad_norm: 6.0301 loss: 2.5503 top1_acc_0: 0.8571 top5_acc_0: 0.8571 loss_cls_0: 1.4574 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.0929 2023/02/03 00:01:48 - mmengine - INFO - Epoch(train) [214][ 20/1879] lr: 8.9708e-03 eta: 11:34:12 time: 0.7287 data_time: 0.2629 memory: 18104 grad_norm: 5.8669 loss: 2.4857 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4175 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.0682 2023/02/03 00:01:58 - mmengine - INFO - Epoch(train) [214][ 40/1879] lr: 8.9665e-03 eta: 11:34:01 time: 0.4919 data_time: 0.0337 memory: 18104 grad_norm: 5.7610 loss: 2.5713 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4137 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.1575 2023/02/03 00:02:08 - mmengine - INFO - Epoch(train) [214][ 60/1879] lr: 8.9622e-03 eta: 11:33:50 time: 0.4918 data_time: 0.0336 memory: 18104 grad_norm: 5.7342 loss: 2.6488 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.5338 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.1150 2023/02/03 00:02:19 - mmengine - INFO - Epoch(train) [214][ 80/1879] lr: 8.9579e-03 eta: 11:33:40 time: 0.5321 data_time: 0.0405 memory: 18104 grad_norm: 5.7898 loss: 2.6199 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4976 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 1.1223 2023/02/03 00:02:29 - mmengine - INFO - Epoch(train) [214][ 100/1879] lr: 8.9536e-03 eta: 11:33:30 time: 0.5007 data_time: 0.0355 memory: 18104 grad_norm: 5.8924 loss: 2.7840 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6918 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0923 2023/02/03 00:02:39 - mmengine - INFO - Epoch(train) [214][ 120/1879] lr: 8.9493e-03 eta: 11:33:19 time: 0.4931 data_time: 0.0325 memory: 18104 grad_norm: 5.7948 loss: 2.7209 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.5565 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.1644 2023/02/03 00:02:49 - mmengine - INFO - Epoch(train) [214][ 140/1879] lr: 8.9450e-03 eta: 11:33:09 time: 0.5207 data_time: 0.0446 memory: 18104 grad_norm: 5.9669 loss: 2.7307 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5180 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.2127 2023/02/03 00:02:59 - mmengine - INFO - Epoch(train) [214][ 160/1879] lr: 8.9407e-03 eta: 11:32:58 time: 0.5206 data_time: 0.0313 memory: 18104 grad_norm: 5.9729 loss: 2.6843 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4834 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.2009 2023/02/03 00:03:10 - mmengine - INFO - Epoch(train) [214][ 180/1879] lr: 8.9364e-03 eta: 11:32:48 time: 0.5027 data_time: 0.0333 memory: 18104 grad_norm: 5.6804 loss: 2.7530 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5931 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 1.1599 2023/02/03 00:03:20 - mmengine - INFO - Epoch(train) [214][ 200/1879] lr: 8.9321e-03 eta: 11:32:38 time: 0.5303 data_time: 0.0454 memory: 18104 grad_norm: 5.9423 loss: 2.7835 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.6444 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.1391 2023/02/03 00:03:31 - mmengine - INFO - Epoch(train) [214][ 220/1879] lr: 8.9278e-03 eta: 11:32:28 time: 0.5172 data_time: 0.0293 memory: 18104 grad_norm: 5.9980 loss: 2.6491 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4787 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.1704 2023/02/03 00:03:41 - mmengine - INFO - Epoch(train) [214][ 240/1879] lr: 8.9235e-03 eta: 11:32:17 time: 0.5116 data_time: 0.0376 memory: 18104 grad_norm: 6.0264 loss: 2.7465 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6002 top1_acc_1: 0.8235 top5_acc_1: 0.8941 loss_cls_1: 1.1463 2023/02/03 00:03:51 - mmengine - INFO - Epoch(train) [214][ 260/1879] lr: 8.9192e-03 eta: 11:32:07 time: 0.5163 data_time: 0.0311 memory: 18104 grad_norm: 5.9069 loss: 2.5785 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3940 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.1845 2023/02/03 00:04:02 - mmengine - INFO - Epoch(train) [214][ 280/1879] lr: 8.9149e-03 eta: 11:31:57 time: 0.5215 data_time: 0.0423 memory: 18104 grad_norm: 5.7338 loss: 2.7550 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6474 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.1076 2023/02/03 00:04:12 - mmengine - INFO - Epoch(train) [214][ 300/1879] lr: 8.9106e-03 eta: 11:31:46 time: 0.5055 data_time: 0.0297 memory: 18104 grad_norm: 6.0342 loss: 2.8323 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6443 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.1880 2023/02/03 00:04:22 - mmengine - INFO - Epoch(train) [214][ 320/1879] lr: 8.9063e-03 eta: 11:31:36 time: 0.5019 data_time: 0.0358 memory: 18104 grad_norm: 5.9769 loss: 2.7735 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6079 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.1655 2023/02/03 00:04:32 - mmengine - INFO - Epoch(train) [214][ 340/1879] lr: 8.9020e-03 eta: 11:31:25 time: 0.5241 data_time: 0.0380 memory: 18104 grad_norm: 5.9439 loss: 2.7165 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.5650 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.1515 2023/02/03 00:04:42 - mmengine - INFO - Epoch(train) [214][ 360/1879] lr: 8.8977e-03 eta: 11:31:15 time: 0.4956 data_time: 0.0372 memory: 18104 grad_norm: 5.8030 loss: 2.8561 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7401 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.1160 2023/02/03 00:04:52 - mmengine - INFO - Epoch(train) [214][ 380/1879] lr: 8.8935e-03 eta: 11:31:04 time: 0.5010 data_time: 0.0308 memory: 18104 grad_norm: 5.8963 loss: 2.6043 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.4537 top1_acc_1: 0.7412 top5_acc_1: 0.8118 loss_cls_1: 1.1506 2023/02/03 00:05:03 - mmengine - INFO - Epoch(train) [214][ 400/1879] lr: 8.8892e-03 eta: 11:30:54 time: 0.5265 data_time: 0.0449 memory: 18104 grad_norm: 5.8829 loss: 2.5845 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4755 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.1090 2023/02/03 00:05:13 - mmengine - INFO - Epoch(train) [214][ 420/1879] lr: 8.8849e-03 eta: 11:30:44 time: 0.5106 data_time: 0.0288 memory: 18104 grad_norm: 5.9635 loss: 2.8998 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.6955 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.2044 2023/02/03 00:05:23 - mmengine - INFO - Epoch(train) [214][ 440/1879] lr: 8.8806e-03 eta: 11:30:33 time: 0.5105 data_time: 0.0365 memory: 18104 grad_norm: 5.8621 loss: 2.8481 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7030 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.1450 2023/02/03 00:05:34 - mmengine - INFO - Epoch(train) [214][ 460/1879] lr: 8.8763e-03 eta: 11:30:23 time: 0.5128 data_time: 0.0282 memory: 18104 grad_norm: 5.8351 loss: 2.5950 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4056 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.1894 2023/02/03 00:05:44 - mmengine - INFO - Epoch(train) [214][ 480/1879] lr: 8.8720e-03 eta: 11:30:13 time: 0.5294 data_time: 0.0440 memory: 18104 grad_norm: 5.7600 loss: 2.5827 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4398 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.1429 2023/02/03 00:05:54 - mmengine - INFO - Epoch(train) [214][ 500/1879] lr: 8.8677e-03 eta: 11:30:02 time: 0.5084 data_time: 0.0302 memory: 18104 grad_norm: 5.8256 loss: 2.6131 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.5092 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 1.1038 2023/02/03 00:06:05 - mmengine - INFO - Epoch(train) [214][ 520/1879] lr: 8.8635e-03 eta: 11:29:52 time: 0.5093 data_time: 0.0361 memory: 18104 grad_norm: 6.0529 loss: 2.7598 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.6093 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.1505 2023/02/03 00:06:15 - mmengine - INFO - Epoch(train) [214][ 540/1879] lr: 8.8592e-03 eta: 11:29:42 time: 0.5229 data_time: 0.0372 memory: 18104 grad_norm: 6.0016 loss: 2.8052 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5875 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 1.2176 2023/02/03 00:06:25 - mmengine - INFO - Epoch(train) [214][ 560/1879] lr: 8.8549e-03 eta: 11:29:31 time: 0.5139 data_time: 0.0386 memory: 18104 grad_norm: 5.7895 loss: 2.7271 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5970 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.1301 2023/02/03 00:06:36 - mmengine - INFO - Epoch(train) [214][ 580/1879] lr: 8.8506e-03 eta: 11:29:21 time: 0.5090 data_time: 0.0287 memory: 18104 grad_norm: 5.7253 loss: 2.7749 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6925 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.0823 2023/02/03 00:06:46 - mmengine - INFO - Epoch(train) [214][ 600/1879] lr: 8.8463e-03 eta: 11:29:11 time: 0.5235 data_time: 0.0448 memory: 18104 grad_norm: 5.9386 loss: 2.8085 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6770 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.1315 2023/02/03 00:06:56 - mmengine - INFO - Epoch(train) [214][ 620/1879] lr: 8.8421e-03 eta: 11:29:00 time: 0.5144 data_time: 0.0306 memory: 18104 grad_norm: 5.8107 loss: 2.7966 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6197 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.1769 2023/02/03 00:07:07 - mmengine - INFO - Epoch(train) [214][ 640/1879] lr: 8.8378e-03 eta: 11:28:50 time: 0.5076 data_time: 0.0384 memory: 18104 grad_norm: 5.8625 loss: 2.5865 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4906 top1_acc_1: 0.7059 top5_acc_1: 0.9412 loss_cls_1: 1.0959 2023/02/03 00:07:17 - mmengine - INFO - Epoch(train) [214][ 660/1879] lr: 8.8335e-03 eta: 11:28:40 time: 0.5379 data_time: 0.0334 memory: 18104 grad_norm: 5.8889 loss: 2.8005 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6605 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.1400 2023/02/03 00:07:28 - mmengine - INFO - Epoch(train) [214][ 680/1879] lr: 8.8292e-03 eta: 11:28:30 time: 0.5229 data_time: 0.0371 memory: 18104 grad_norm: 5.9920 loss: 2.6569 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.4730 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.1838 2023/02/03 00:07:38 - mmengine - INFO - Epoch(train) [214][ 700/1879] lr: 8.8250e-03 eta: 11:28:20 time: 0.5259 data_time: 0.0292 memory: 18104 grad_norm: 5.9681 loss: 2.7028 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.5791 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.1237 2023/02/03 00:07:49 - mmengine - INFO - Epoch(train) [214][ 720/1879] lr: 8.8207e-03 eta: 11:28:10 time: 0.5231 data_time: 0.0376 memory: 18104 grad_norm: 5.9473 loss: 2.6235 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4837 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.1398 2023/02/03 00:07:59 - mmengine - INFO - Epoch(train) [214][ 740/1879] lr: 8.8164e-03 eta: 11:27:59 time: 0.5073 data_time: 0.0371 memory: 18104 grad_norm: 5.9895 loss: 2.7199 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5932 top1_acc_1: 0.6824 top5_acc_1: 0.9294 loss_cls_1: 1.1267 2023/02/03 00:08:09 - mmengine - INFO - Epoch(train) [214][ 760/1879] lr: 8.8122e-03 eta: 11:27:49 time: 0.5139 data_time: 0.0396 memory: 18104 grad_norm: 5.9164 loss: 2.6406 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.5014 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.1392 2023/02/03 00:08:16 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 00:08:20 - mmengine - INFO - Epoch(train) [214][ 780/1879] lr: 8.8079e-03 eta: 11:27:38 time: 0.5091 data_time: 0.0296 memory: 18104 grad_norm: 5.8530 loss: 2.6327 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.4605 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.1722 2023/02/03 00:08:30 - mmengine - INFO - Epoch(train) [214][ 800/1879] lr: 8.8036e-03 eta: 11:27:28 time: 0.5178 data_time: 0.0512 memory: 18104 grad_norm: 5.8348 loss: 2.7399 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.5718 top1_acc_1: 0.6824 top5_acc_1: 0.8118 loss_cls_1: 1.1681 2023/02/03 00:08:40 - mmengine - INFO - Epoch(train) [214][ 820/1879] lr: 8.7994e-03 eta: 11:27:18 time: 0.5123 data_time: 0.0321 memory: 18104 grad_norm: 5.8458 loss: 2.6422 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 1.4758 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.1664 2023/02/03 00:08:50 - mmengine - INFO - Epoch(train) [214][ 840/1879] lr: 8.7951e-03 eta: 11:27:07 time: 0.5117 data_time: 0.0378 memory: 18104 grad_norm: 5.9344 loss: 2.6762 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.5451 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.1311 2023/02/03 00:09:01 - mmengine - INFO - Epoch(train) [214][ 860/1879] lr: 8.7908e-03 eta: 11:26:57 time: 0.5102 data_time: 0.0301 memory: 18104 grad_norm: 5.9960 loss: 2.5433 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3689 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.1744 2023/02/03 00:09:11 - mmengine - INFO - Epoch(train) [214][ 880/1879] lr: 8.7866e-03 eta: 11:26:47 time: 0.5205 data_time: 0.0448 memory: 18104 grad_norm: 5.8250 loss: 2.5874 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.3983 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.1891 2023/02/03 00:09:21 - mmengine - INFO - Epoch(train) [214][ 900/1879] lr: 8.7823e-03 eta: 11:26:36 time: 0.5055 data_time: 0.0298 memory: 18104 grad_norm: 6.0050 loss: 2.7837 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.6344 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.1493 2023/02/03 00:09:32 - mmengine - INFO - Epoch(train) [214][ 920/1879] lr: 8.7780e-03 eta: 11:26:26 time: 0.5202 data_time: 0.0353 memory: 18104 grad_norm: 5.8732 loss: 2.9395 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7279 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.2116 2023/02/03 00:09:42 - mmengine - INFO - Epoch(train) [214][ 940/1879] lr: 8.7738e-03 eta: 11:26:16 time: 0.5169 data_time: 0.0297 memory: 18104 grad_norm: 5.8310 loss: 2.7479 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.6174 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.1305 2023/02/03 00:09:52 - mmengine - INFO - Epoch(train) [214][ 960/1879] lr: 8.7695e-03 eta: 11:26:05 time: 0.5139 data_time: 0.0362 memory: 18104 grad_norm: 5.8027 loss: 2.4000 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.2462 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.1537 2023/02/03 00:10:03 - mmengine - INFO - Epoch(train) [214][ 980/1879] lr: 8.7652e-03 eta: 11:25:55 time: 0.5238 data_time: 0.0305 memory: 18104 grad_norm: 5.9898 loss: 2.6886 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5745 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.1142 2023/02/03 00:10:13 - mmengine - INFO - Epoch(train) [214][1000/1879] lr: 8.7610e-03 eta: 11:25:45 time: 0.5213 data_time: 0.0432 memory: 18104 grad_norm: 5.8290 loss: 2.7092 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5477 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.1614 2023/02/03 00:10:24 - mmengine - INFO - Epoch(train) [214][1020/1879] lr: 8.7567e-03 eta: 11:25:35 time: 0.5150 data_time: 0.0303 memory: 18104 grad_norm: 5.9417 loss: 2.6149 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.4254 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.1896 2023/02/03 00:10:34 - mmengine - INFO - Epoch(train) [214][1040/1879] lr: 8.7525e-03 eta: 11:25:24 time: 0.5208 data_time: 0.0388 memory: 18104 grad_norm: 5.9010 loss: 2.6264 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.4895 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 1.1369 2023/02/03 00:10:44 - mmengine - INFO - Epoch(train) [214][1060/1879] lr: 8.7482e-03 eta: 11:25:14 time: 0.5167 data_time: 0.0340 memory: 18104 grad_norm: 5.8615 loss: 2.7447 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5517 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.1930 2023/02/03 00:10:55 - mmengine - INFO - Epoch(train) [214][1080/1879] lr: 8.7440e-03 eta: 11:25:04 time: 0.5142 data_time: 0.0409 memory: 18104 grad_norm: 5.8414 loss: 3.0199 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8174 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.2026 2023/02/03 00:11:05 - mmengine - INFO - Epoch(train) [214][1100/1879] lr: 8.7397e-03 eta: 11:24:54 time: 0.5199 data_time: 0.0331 memory: 18104 grad_norm: 6.0466 loss: 2.8923 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.6646 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.2277 2023/02/03 00:11:16 - mmengine - INFO - Epoch(train) [214][1120/1879] lr: 8.7355e-03 eta: 11:24:43 time: 0.5209 data_time: 0.0343 memory: 18104 grad_norm: 5.9236 loss: 2.7757 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6245 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.1513 2023/02/03 00:11:26 - mmengine - INFO - Epoch(train) [214][1140/1879] lr: 8.7312e-03 eta: 11:24:33 time: 0.5236 data_time: 0.0431 memory: 18104 grad_norm: 5.8119 loss: 2.4020 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3144 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.0876 2023/02/03 00:11:36 - mmengine - INFO - Epoch(train) [214][1160/1879] lr: 8.7270e-03 eta: 11:24:23 time: 0.5171 data_time: 0.0358 memory: 18104 grad_norm: 5.9529 loss: 2.5822 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.4505 top1_acc_1: 0.7882 top5_acc_1: 0.9647 loss_cls_1: 1.1317 2023/02/03 00:11:47 - mmengine - INFO - Epoch(train) [214][1180/1879] lr: 8.7227e-03 eta: 11:24:13 time: 0.5288 data_time: 0.0319 memory: 18104 grad_norm: 5.8800 loss: 2.7421 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.6707 top1_acc_1: 0.6706 top5_acc_1: 0.9529 loss_cls_1: 1.0714 2023/02/03 00:11:57 - mmengine - INFO - Epoch(train) [214][1200/1879] lr: 8.7184e-03 eta: 11:24:03 time: 0.5145 data_time: 0.0402 memory: 18104 grad_norm: 5.9315 loss: 2.6827 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.6140 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.0687 2023/02/03 00:12:08 - mmengine - INFO - Epoch(train) [214][1220/1879] lr: 8.7142e-03 eta: 11:23:52 time: 0.5110 data_time: 0.0304 memory: 18104 grad_norm: 5.8671 loss: 2.8279 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5347 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.2932 2023/02/03 00:12:18 - mmengine - INFO - Epoch(train) [214][1240/1879] lr: 8.7100e-03 eta: 11:23:42 time: 0.5363 data_time: 0.0372 memory: 18104 grad_norm: 6.0424 loss: 2.6842 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.5685 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.1157 2023/02/03 00:12:29 - mmengine - INFO - Epoch(train) [214][1260/1879] lr: 8.7057e-03 eta: 11:23:32 time: 0.5160 data_time: 0.0293 memory: 18104 grad_norm: 5.8157 loss: 2.6513 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.5253 top1_acc_1: 0.6118 top5_acc_1: 0.7882 loss_cls_1: 1.1260 2023/02/03 00:12:39 - mmengine - INFO - Epoch(train) [214][1280/1879] lr: 8.7015e-03 eta: 11:23:22 time: 0.5252 data_time: 0.0438 memory: 18104 grad_norm: 5.8531 loss: 2.7243 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.5081 top1_acc_1: 0.6118 top5_acc_1: 0.8706 loss_cls_1: 1.2162 2023/02/03 00:12:50 - mmengine - INFO - Epoch(train) [214][1300/1879] lr: 8.6972e-03 eta: 11:23:12 time: 0.5238 data_time: 0.0296 memory: 18104 grad_norm: 5.9374 loss: 2.9268 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.8188 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.1080 2023/02/03 00:13:00 - mmengine - INFO - Epoch(train) [214][1320/1879] lr: 8.6930e-03 eta: 11:23:02 time: 0.5373 data_time: 0.0369 memory: 18104 grad_norm: 5.9239 loss: 3.0362 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.8532 top1_acc_1: 0.6235 top5_acc_1: 0.9294 loss_cls_1: 1.1831 2023/02/03 00:13:11 - mmengine - INFO - Epoch(train) [214][1340/1879] lr: 8.6887e-03 eta: 11:22:51 time: 0.5140 data_time: 0.0321 memory: 18104 grad_norm: 5.9712 loss: 2.6338 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.5037 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.1301 2023/02/03 00:13:21 - mmengine - INFO - Epoch(train) [214][1360/1879] lr: 8.6845e-03 eta: 11:22:42 time: 0.5351 data_time: 0.0379 memory: 18104 grad_norm: 5.7671 loss: 2.5892 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 1.4108 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 1.1784 2023/02/03 00:13:32 - mmengine - INFO - Epoch(train) [214][1380/1879] lr: 8.6802e-03 eta: 11:22:32 time: 0.5388 data_time: 0.0305 memory: 18104 grad_norm: 6.0244 loss: 2.8751 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7123 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.1628 2023/02/03 00:13:43 - mmengine - INFO - Epoch(train) [214][1400/1879] lr: 8.6760e-03 eta: 11:22:22 time: 0.5351 data_time: 0.0361 memory: 18104 grad_norm: 6.0695 loss: 2.8547 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.6989 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.1558 2023/02/03 00:13:54 - mmengine - INFO - Epoch(train) [214][1420/1879] lr: 8.6718e-03 eta: 11:22:12 time: 0.5262 data_time: 0.0360 memory: 18104 grad_norm: 6.0048 loss: 2.8706 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.6224 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.2481 2023/02/03 00:14:04 - mmengine - INFO - Epoch(train) [214][1440/1879] lr: 8.6675e-03 eta: 11:22:02 time: 0.5442 data_time: 0.0364 memory: 18104 grad_norm: 5.9581 loss: 2.9004 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.7662 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 1.1343 2023/02/03 00:14:15 - mmengine - INFO - Epoch(train) [214][1460/1879] lr: 8.6633e-03 eta: 11:21:52 time: 0.5269 data_time: 0.0276 memory: 18104 grad_norm: 5.9878 loss: 2.6032 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.4346 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.1686 2023/02/03 00:14:26 - mmengine - INFO - Epoch(train) [214][1480/1879] lr: 8.6591e-03 eta: 11:21:42 time: 0.5327 data_time: 0.0444 memory: 18104 grad_norm: 5.9608 loss: 2.6118 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.5039 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.1079 2023/02/03 00:14:37 - mmengine - INFO - Epoch(train) [214][1500/1879] lr: 8.6548e-03 eta: 11:21:32 time: 0.5433 data_time: 0.0328 memory: 18104 grad_norm: 5.9338 loss: 2.7620 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.5563 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 1.2058 2023/02/03 00:14:47 - mmengine - INFO - Epoch(train) [214][1520/1879] lr: 8.6506e-03 eta: 11:21:22 time: 0.5280 data_time: 0.0315 memory: 18104 grad_norm: 5.9563 loss: 2.8955 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7378 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.1577 2023/02/03 00:14:58 - mmengine - INFO - Epoch(train) [214][1540/1879] lr: 8.6463e-03 eta: 11:21:12 time: 0.5302 data_time: 0.0352 memory: 18104 grad_norm: 5.7896 loss: 2.6380 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.4738 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.1642 2023/02/03 00:15:09 - mmengine - INFO - Epoch(train) [214][1560/1879] lr: 8.6421e-03 eta: 11:21:02 time: 0.5366 data_time: 0.0356 memory: 18104 grad_norm: 5.9878 loss: 2.7637 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5648 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.1989 2023/02/03 00:15:19 - mmengine - INFO - Epoch(train) [214][1580/1879] lr: 8.6379e-03 eta: 11:20:52 time: 0.5322 data_time: 0.0287 memory: 18104 grad_norm: 5.8544 loss: 2.8264 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7148 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.1117 2023/02/03 00:15:30 - mmengine - INFO - Epoch(train) [214][1600/1879] lr: 8.6337e-03 eta: 11:20:42 time: 0.5308 data_time: 0.0442 memory: 18104 grad_norm: 5.8304 loss: 2.7092 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5798 top1_acc_1: 0.8353 top5_acc_1: 0.9176 loss_cls_1: 1.1294 2023/02/03 00:15:40 - mmengine - INFO - Epoch(train) [214][1620/1879] lr: 8.6294e-03 eta: 11:20:32 time: 0.5321 data_time: 0.0302 memory: 18104 grad_norm: 5.9750 loss: 2.6011 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4163 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.1848 2023/02/03 00:15:51 - mmengine - INFO - Epoch(train) [214][1640/1879] lr: 8.6252e-03 eta: 11:20:22 time: 0.5382 data_time: 0.0375 memory: 18104 grad_norm: 5.9972 loss: 2.8758 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6420 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.2338 2023/02/03 00:16:02 - mmengine - INFO - Epoch(train) [214][1660/1879] lr: 8.6210e-03 eta: 11:20:12 time: 0.5232 data_time: 0.0295 memory: 18104 grad_norm: 5.8783 loss: 2.8518 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7078 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.1439 2023/02/03 00:16:13 - mmengine - INFO - Epoch(train) [214][1680/1879] lr: 8.6167e-03 eta: 11:20:02 time: 0.5433 data_time: 0.0442 memory: 18104 grad_norm: 5.7326 loss: 2.8288 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5947 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.2341 2023/02/03 00:16:24 - mmengine - INFO - Epoch(train) [214][1700/1879] lr: 8.6125e-03 eta: 11:19:53 time: 0.5536 data_time: 0.0301 memory: 18104 grad_norm: 5.8986 loss: 2.8715 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6660 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.2056 2023/02/03 00:16:34 - mmengine - INFO - Epoch(train) [214][1720/1879] lr: 8.6083e-03 eta: 11:19:43 time: 0.5269 data_time: 0.0370 memory: 18104 grad_norm: 5.9750 loss: 2.5580 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4621 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 1.0959 2023/02/03 00:16:45 - mmengine - INFO - Epoch(train) [214][1740/1879] lr: 8.6041e-03 eta: 11:19:33 time: 0.5342 data_time: 0.0346 memory: 18104 grad_norm: 5.8929 loss: 2.9088 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.7175 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.1913 2023/02/03 00:16:56 - mmengine - INFO - Epoch(train) [214][1760/1879] lr: 8.5998e-03 eta: 11:19:23 time: 0.5338 data_time: 0.0363 memory: 18104 grad_norm: 5.8681 loss: 2.7093 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5496 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.1598 2023/02/03 00:17:03 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 00:17:06 - mmengine - INFO - Epoch(train) [214][1780/1879] lr: 8.5956e-03 eta: 11:19:13 time: 0.5355 data_time: 0.0282 memory: 18104 grad_norm: 5.8080 loss: 2.5118 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.3126 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.1991 2023/02/03 00:17:17 - mmengine - INFO - Epoch(train) [214][1800/1879] lr: 8.5914e-03 eta: 11:19:03 time: 0.5324 data_time: 0.0363 memory: 18104 grad_norm: 6.0796 loss: 2.7457 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.5440 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.2016 2023/02/03 00:17:28 - mmengine - INFO - Epoch(train) [214][1820/1879] lr: 8.5872e-03 eta: 11:18:53 time: 0.5277 data_time: 0.0374 memory: 18104 grad_norm: 5.9158 loss: 2.7475 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5823 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.1652 2023/02/03 00:17:39 - mmengine - INFO - Epoch(train) [214][1840/1879] lr: 8.5830e-03 eta: 11:18:43 time: 0.5440 data_time: 0.0370 memory: 18104 grad_norm: 5.9656 loss: 2.6710 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.4581 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.2129 2023/02/03 00:17:49 - mmengine - INFO - Epoch(train) [214][1860/1879] lr: 8.5787e-03 eta: 11:18:33 time: 0.5272 data_time: 0.0306 memory: 18104 grad_norm: 5.9459 loss: 2.9803 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7786 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.2018 2023/02/03 00:17:59 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 00:17:59 - mmengine - INFO - Epoch(train) [214][1879/1879] lr: 8.5747e-03 eta: 11:18:23 time: 0.5202 data_time: 0.0398 memory: 18104 grad_norm: 6.1835 loss: 3.1180 top1_acc_0: 0.5714 top5_acc_0: 0.8571 loss_cls_0: 1.8862 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.2318 2023/02/03 00:18:14 - mmengine - INFO - Epoch(train) [215][ 20/1879] lr: 8.5705e-03 eta: 11:18:17 time: 0.7194 data_time: 0.2575 memory: 18104 grad_norm: 5.9101 loss: 2.5350 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.3778 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.1573 2023/02/03 00:18:24 - mmengine - INFO - Epoch(train) [215][ 40/1879] lr: 8.5663e-03 eta: 11:18:06 time: 0.4850 data_time: 0.0325 memory: 18104 grad_norm: 5.8449 loss: 2.6651 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4946 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.1705 2023/02/03 00:18:34 - mmengine - INFO - Epoch(train) [215][ 60/1879] lr: 8.5621e-03 eta: 11:17:55 time: 0.4889 data_time: 0.0363 memory: 18104 grad_norm: 5.9725 loss: 2.6211 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.5148 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.1064 2023/02/03 00:18:44 - mmengine - INFO - Epoch(train) [215][ 80/1879] lr: 8.5579e-03 eta: 11:17:45 time: 0.5286 data_time: 0.0305 memory: 18104 grad_norm: 5.9644 loss: 2.5011 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3572 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.1439 2023/02/03 00:18:54 - mmengine - INFO - Epoch(train) [215][ 100/1879] lr: 8.5537e-03 eta: 11:17:34 time: 0.4935 data_time: 0.0346 memory: 18104 grad_norm: 5.8780 loss: 2.4236 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3395 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.0841 2023/02/03 00:19:04 - mmengine - INFO - Epoch(train) [215][ 120/1879] lr: 8.5494e-03 eta: 11:17:24 time: 0.4861 data_time: 0.0329 memory: 18104 grad_norm: 5.9249 loss: 2.8710 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7417 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.1292 2023/02/03 00:19:14 - mmengine - INFO - Epoch(train) [215][ 140/1879] lr: 8.5452e-03 eta: 11:17:13 time: 0.5122 data_time: 0.0446 memory: 18104 grad_norm: 5.9767 loss: 2.7685 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.6396 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.1289 2023/02/03 00:19:24 - mmengine - INFO - Epoch(train) [215][ 160/1879] lr: 8.5410e-03 eta: 11:17:03 time: 0.5017 data_time: 0.0317 memory: 18104 grad_norm: 5.8250 loss: 2.5439 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.3901 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.1538 2023/02/03 00:19:34 - mmengine - INFO - Epoch(train) [215][ 180/1879] lr: 8.5368e-03 eta: 11:16:52 time: 0.4935 data_time: 0.0356 memory: 18104 grad_norm: 5.9575 loss: 2.8959 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.6377 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.2582 2023/02/03 00:19:44 - mmengine - INFO - Epoch(train) [215][ 200/1879] lr: 8.5326e-03 eta: 11:16:41 time: 0.4907 data_time: 0.0330 memory: 18104 grad_norm: 5.8551 loss: 2.4820 top1_acc_0: 0.5000 top5_acc_0: 1.0000 loss_cls_0: 1.3900 top1_acc_1: 0.8000 top5_acc_1: 0.8941 loss_cls_1: 1.0920 2023/02/03 00:19:54 - mmengine - INFO - Epoch(train) [215][ 220/1879] lr: 8.5284e-03 eta: 11:16:30 time: 0.5063 data_time: 0.0442 memory: 18104 grad_norm: 5.8877 loss: 2.5106 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4054 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.1052 2023/02/03 00:20:04 - mmengine - INFO - Epoch(train) [215][ 240/1879] lr: 8.5242e-03 eta: 11:16:20 time: 0.4860 data_time: 0.0325 memory: 18104 grad_norm: 5.9756 loss: 2.8651 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.7129 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.1522 2023/02/03 00:20:14 - mmengine - INFO - Epoch(train) [215][ 260/1879] lr: 8.5200e-03 eta: 11:16:09 time: 0.4979 data_time: 0.0362 memory: 18104 grad_norm: 5.8843 loss: 2.7425 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.6204 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.1220 2023/02/03 00:20:24 - mmengine - INFO - Epoch(train) [215][ 280/1879] lr: 8.5158e-03 eta: 11:15:58 time: 0.4975 data_time: 0.0344 memory: 18104 grad_norm: 6.0398 loss: 2.7464 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.5505 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.1959 2023/02/03 00:20:34 - mmengine - INFO - Epoch(train) [215][ 300/1879] lr: 8.5116e-03 eta: 11:15:48 time: 0.5309 data_time: 0.0426 memory: 18104 grad_norm: 6.0097 loss: 2.5521 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3716 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.1806 2023/02/03 00:20:44 - mmengine - INFO - Epoch(train) [215][ 320/1879] lr: 8.5074e-03 eta: 11:15:38 time: 0.4993 data_time: 0.0326 memory: 18104 grad_norm: 6.0180 loss: 2.5969 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.5300 top1_acc_1: 0.7529 top5_acc_1: 0.8588 loss_cls_1: 1.0670 2023/02/03 00:20:55 - mmengine - INFO - Epoch(train) [215][ 340/1879] lr: 8.5032e-03 eta: 11:15:27 time: 0.5170 data_time: 0.0373 memory: 18104 grad_norm: 5.9022 loss: 2.6809 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.5661 top1_acc_1: 0.6000 top5_acc_1: 0.8353 loss_cls_1: 1.1148 2023/02/03 00:21:05 - mmengine - INFO - Epoch(train) [215][ 360/1879] lr: 8.4990e-03 eta: 11:15:17 time: 0.5246 data_time: 0.0324 memory: 18104 grad_norm: 6.0166 loss: 2.9495 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8208 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.1287 2023/02/03 00:21:16 - mmengine - INFO - Epoch(train) [215][ 380/1879] lr: 8.4948e-03 eta: 11:15:07 time: 0.5176 data_time: 0.0376 memory: 18104 grad_norm: 5.9067 loss: 2.5147 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3348 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.1799 2023/02/03 00:21:26 - mmengine - INFO - Epoch(train) [215][ 400/1879] lr: 8.4906e-03 eta: 11:14:56 time: 0.5014 data_time: 0.0331 memory: 18104 grad_norm: 5.9288 loss: 2.6781 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5542 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.1238 2023/02/03 00:21:36 - mmengine - INFO - Epoch(train) [215][ 420/1879] lr: 8.4864e-03 eta: 11:14:46 time: 0.5233 data_time: 0.0369 memory: 18104 grad_norm: 6.0903 loss: 2.6920 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.4839 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.2080 2023/02/03 00:21:47 - mmengine - INFO - Epoch(train) [215][ 440/1879] lr: 8.4822e-03 eta: 11:14:36 time: 0.5212 data_time: 0.0323 memory: 18104 grad_norm: 5.9811 loss: 2.7611 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.5836 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.1774 2023/02/03 00:21:57 - mmengine - INFO - Epoch(train) [215][ 460/1879] lr: 8.4780e-03 eta: 11:14:25 time: 0.5033 data_time: 0.0374 memory: 18104 grad_norm: 5.9460 loss: 2.7737 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 1.6153 top1_acc_1: 0.6824 top5_acc_1: 0.8000 loss_cls_1: 1.1584 2023/02/03 00:22:07 - mmengine - INFO - Epoch(train) [215][ 480/1879] lr: 8.4738e-03 eta: 11:14:15 time: 0.5172 data_time: 0.0334 memory: 18104 grad_norm: 5.9068 loss: 2.5204 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4328 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.0877 2023/02/03 00:22:18 - mmengine - INFO - Epoch(train) [215][ 500/1879] lr: 8.4696e-03 eta: 11:14:05 time: 0.5228 data_time: 0.0361 memory: 18104 grad_norm: 5.9067 loss: 2.6326 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.5518 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.0808 2023/02/03 00:22:28 - mmengine - INFO - Epoch(train) [215][ 520/1879] lr: 8.4654e-03 eta: 11:13:54 time: 0.5071 data_time: 0.0326 memory: 18104 grad_norm: 5.9773 loss: 2.4631 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2752 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.1879 2023/02/03 00:22:38 - mmengine - INFO - Epoch(train) [215][ 540/1879] lr: 8.4612e-03 eta: 11:13:44 time: 0.5232 data_time: 0.0382 memory: 18104 grad_norm: 5.8546 loss: 2.5064 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4019 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.1045 2023/02/03 00:22:48 - mmengine - INFO - Epoch(train) [215][ 560/1879] lr: 8.4570e-03 eta: 11:13:34 time: 0.5049 data_time: 0.0403 memory: 18104 grad_norm: 5.9630 loss: 2.5280 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3987 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.1293 2023/02/03 00:22:59 - mmengine - INFO - Epoch(train) [215][ 580/1879] lr: 8.4528e-03 eta: 11:13:23 time: 0.5157 data_time: 0.0380 memory: 18104 grad_norm: 6.0561 loss: 2.9386 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.7842 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 1.1544 2023/02/03 00:23:09 - mmengine - INFO - Epoch(train) [215][ 600/1879] lr: 8.4486e-03 eta: 11:13:13 time: 0.4964 data_time: 0.0305 memory: 18104 grad_norm: 5.9941 loss: 2.7051 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.6110 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 1.0941 2023/02/03 00:23:19 - mmengine - INFO - Epoch(train) [215][ 620/1879] lr: 8.4444e-03 eta: 11:13:03 time: 0.5313 data_time: 0.0470 memory: 18104 grad_norm: 6.0667 loss: 2.5158 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3660 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.1498 2023/02/03 00:23:30 - mmengine - INFO - Epoch(train) [215][ 640/1879] lr: 8.4403e-03 eta: 11:12:52 time: 0.5079 data_time: 0.0258 memory: 18104 grad_norm: 5.9098 loss: 2.5715 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.5269 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.0446 2023/02/03 00:23:40 - mmengine - INFO - Epoch(train) [215][ 660/1879] lr: 8.4361e-03 eta: 11:12:42 time: 0.5137 data_time: 0.0365 memory: 18104 grad_norm: 5.7873 loss: 2.7340 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.5273 top1_acc_1: 0.7882 top5_acc_1: 0.8706 loss_cls_1: 1.2066 2023/02/03 00:23:50 - mmengine - INFO - Epoch(train) [215][ 680/1879] lr: 8.4319e-03 eta: 11:12:31 time: 0.5026 data_time: 0.0301 memory: 18104 grad_norm: 6.0095 loss: 2.7350 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6147 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.1203 2023/02/03 00:24:00 - mmengine - INFO - Epoch(train) [215][ 700/1879] lr: 8.4277e-03 eta: 11:12:21 time: 0.5192 data_time: 0.0437 memory: 18104 grad_norm: 5.9547 loss: 2.6606 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5166 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.1441 2023/02/03 00:24:11 - mmengine - INFO - Epoch(train) [215][ 720/1879] lr: 8.4235e-03 eta: 11:12:11 time: 0.5133 data_time: 0.0307 memory: 18104 grad_norm: 5.8408 loss: 2.9602 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7602 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.2000 2023/02/03 00:24:21 - mmengine - INFO - Epoch(train) [215][ 740/1879] lr: 8.4193e-03 eta: 11:12:00 time: 0.5063 data_time: 0.0369 memory: 18104 grad_norm: 5.8682 loss: 2.4591 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.3777 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.0814 2023/02/03 00:24:31 - mmengine - INFO - Epoch(train) [215][ 760/1879] lr: 8.4151e-03 eta: 11:11:50 time: 0.5037 data_time: 0.0366 memory: 18104 grad_norm: 5.9578 loss: 2.6792 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.4775 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.2018 2023/02/03 00:24:41 - mmengine - INFO - Epoch(train) [215][ 780/1879] lr: 8.4110e-03 eta: 11:11:39 time: 0.5198 data_time: 0.0398 memory: 18104 grad_norm: 6.1017 loss: 2.8019 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.6260 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.1759 2023/02/03 00:24:51 - mmengine - INFO - Epoch(train) [215][ 800/1879] lr: 8.4068e-03 eta: 11:11:29 time: 0.5037 data_time: 0.0322 memory: 18104 grad_norm: 6.0598 loss: 2.8424 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6168 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.2256 2023/02/03 00:25:02 - mmengine - INFO - Epoch(train) [215][ 820/1879] lr: 8.4026e-03 eta: 11:11:18 time: 0.5085 data_time: 0.0357 memory: 18104 grad_norm: 6.0253 loss: 2.6145 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.4692 top1_acc_1: 0.6235 top5_acc_1: 0.8235 loss_cls_1: 1.1453 2023/02/03 00:25:12 - mmengine - INFO - Epoch(train) [215][ 840/1879] lr: 8.3984e-03 eta: 11:11:08 time: 0.5080 data_time: 0.0299 memory: 18104 grad_norm: 5.9378 loss: 2.8899 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 1.7225 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.1674 2023/02/03 00:25:22 - mmengine - INFO - Epoch(train) [215][ 860/1879] lr: 8.3943e-03 eta: 11:10:58 time: 0.5186 data_time: 0.0390 memory: 18104 grad_norm: 6.1212 loss: 2.6824 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.5492 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 1.1332 2023/02/03 00:25:32 - mmengine - INFO - Epoch(train) [215][ 880/1879] lr: 8.3901e-03 eta: 11:10:47 time: 0.5101 data_time: 0.0359 memory: 18104 grad_norm: 5.9689 loss: 2.6188 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.5298 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.0890 2023/02/03 00:25:39 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 00:25:43 - mmengine - INFO - Epoch(train) [215][ 900/1879] lr: 8.3859e-03 eta: 11:10:37 time: 0.5097 data_time: 0.0371 memory: 18104 grad_norm: 6.0367 loss: 2.7815 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6055 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.1760 2023/02/03 00:25:53 - mmengine - INFO - Epoch(train) [215][ 920/1879] lr: 8.3817e-03 eta: 11:10:26 time: 0.5136 data_time: 0.0319 memory: 18104 grad_norm: 5.9561 loss: 2.7796 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5921 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.1876 2023/02/03 00:26:03 - mmengine - INFO - Epoch(train) [215][ 940/1879] lr: 8.3776e-03 eta: 11:10:16 time: 0.5289 data_time: 0.0473 memory: 18104 grad_norm: 5.9995 loss: 2.8485 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.7066 top1_acc_1: 0.6471 top5_acc_1: 0.9294 loss_cls_1: 1.1420 2023/02/03 00:26:13 - mmengine - INFO - Epoch(train) [215][ 960/1879] lr: 8.3734e-03 eta: 11:10:06 time: 0.4938 data_time: 0.0280 memory: 18104 grad_norm: 5.9540 loss: 2.8085 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.6972 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.1113 2023/02/03 00:26:24 - mmengine - INFO - Epoch(train) [215][ 980/1879] lr: 8.3692e-03 eta: 11:09:55 time: 0.5255 data_time: 0.0356 memory: 18104 grad_norm: 5.9984 loss: 2.5506 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4475 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.1032 2023/02/03 00:26:34 - mmengine - INFO - Epoch(train) [215][1000/1879] lr: 8.3650e-03 eta: 11:09:45 time: 0.5016 data_time: 0.0289 memory: 18104 grad_norm: 6.0483 loss: 2.6965 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5871 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.1095 2023/02/03 00:26:44 - mmengine - INFO - Epoch(train) [215][1020/1879] lr: 8.3609e-03 eta: 11:09:35 time: 0.5176 data_time: 0.0383 memory: 18104 grad_norm: 6.0131 loss: 2.3822 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3400 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.0423 2023/02/03 00:26:55 - mmengine - INFO - Epoch(train) [215][1040/1879] lr: 8.3567e-03 eta: 11:09:24 time: 0.5106 data_time: 0.0297 memory: 18104 grad_norm: 6.0536 loss: 2.7602 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6121 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.1481 2023/02/03 00:27:05 - mmengine - INFO - Epoch(train) [215][1060/1879] lr: 8.3525e-03 eta: 11:09:14 time: 0.5252 data_time: 0.0384 memory: 18104 grad_norm: 6.0286 loss: 2.8659 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.7622 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.1037 2023/02/03 00:27:15 - mmengine - INFO - Epoch(train) [215][1080/1879] lr: 8.3484e-03 eta: 11:09:04 time: 0.5063 data_time: 0.0360 memory: 18104 grad_norm: 6.0157 loss: 2.7246 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.6137 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.1109 2023/02/03 00:27:25 - mmengine - INFO - Epoch(train) [215][1100/1879] lr: 8.3442e-03 eta: 11:08:53 time: 0.5121 data_time: 0.0377 memory: 18104 grad_norm: 5.8088 loss: 2.4894 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3353 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.1541 2023/02/03 00:27:36 - mmengine - INFO - Epoch(train) [215][1120/1879] lr: 8.3400e-03 eta: 11:08:43 time: 0.5201 data_time: 0.0307 memory: 18104 grad_norm: 5.8478 loss: 2.6513 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4916 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.1597 2023/02/03 00:27:47 - mmengine - INFO - Epoch(train) [215][1140/1879] lr: 8.3359e-03 eta: 11:08:33 time: 0.5321 data_time: 0.0389 memory: 18104 grad_norm: 6.0569 loss: 2.8040 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6518 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.1522 2023/02/03 00:27:57 - mmengine - INFO - Epoch(train) [215][1160/1879] lr: 8.3317e-03 eta: 11:08:22 time: 0.4990 data_time: 0.0302 memory: 18104 grad_norm: 5.8798 loss: 2.6331 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4772 top1_acc_1: 0.8353 top5_acc_1: 0.8824 loss_cls_1: 1.1560 2023/02/03 00:28:07 - mmengine - INFO - Epoch(train) [215][1180/1879] lr: 8.3275e-03 eta: 11:08:12 time: 0.5297 data_time: 0.0384 memory: 18104 grad_norm: 6.0022 loss: 2.6784 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5161 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.1622 2023/02/03 00:28:17 - mmengine - INFO - Epoch(train) [215][1200/1879] lr: 8.3234e-03 eta: 11:08:02 time: 0.5105 data_time: 0.0349 memory: 18104 grad_norm: 6.0695 loss: 2.7137 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6574 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 1.0563 2023/02/03 00:28:28 - mmengine - INFO - Epoch(train) [215][1220/1879] lr: 8.3192e-03 eta: 11:07:52 time: 0.5278 data_time: 0.0401 memory: 18104 grad_norm: 6.0901 loss: 2.7490 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.5164 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.2327 2023/02/03 00:28:38 - mmengine - INFO - Epoch(train) [215][1240/1879] lr: 8.3151e-03 eta: 11:07:41 time: 0.5124 data_time: 0.0310 memory: 18104 grad_norm: 6.0515 loss: 2.5651 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.4382 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.1269 2023/02/03 00:28:49 - mmengine - INFO - Epoch(train) [215][1260/1879] lr: 8.3109e-03 eta: 11:07:31 time: 0.5378 data_time: 0.0381 memory: 18104 grad_norm: 6.0183 loss: 2.7457 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.6253 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.1203 2023/02/03 00:28:59 - mmengine - INFO - Epoch(train) [215][1280/1879] lr: 8.3067e-03 eta: 11:07:21 time: 0.5086 data_time: 0.0308 memory: 18104 grad_norm: 5.9742 loss: 2.5222 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3861 top1_acc_1: 0.7529 top5_acc_1: 0.8471 loss_cls_1: 1.1361 2023/02/03 00:29:10 - mmengine - INFO - Epoch(train) [215][1300/1879] lr: 8.3026e-03 eta: 11:07:11 time: 0.5209 data_time: 0.0380 memory: 18104 grad_norm: 6.0383 loss: 2.7214 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5817 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.1397 2023/02/03 00:29:20 - mmengine - INFO - Epoch(train) [215][1320/1879] lr: 8.2984e-03 eta: 11:07:00 time: 0.4972 data_time: 0.0307 memory: 18104 grad_norm: 6.1173 loss: 2.5709 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4101 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.1608 2023/02/03 00:29:30 - mmengine - INFO - Epoch(train) [215][1340/1879] lr: 8.2943e-03 eta: 11:06:50 time: 0.5340 data_time: 0.0423 memory: 18104 grad_norm: 5.9258 loss: 2.4907 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4103 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.0804 2023/02/03 00:29:41 - mmengine - INFO - Epoch(train) [215][1360/1879] lr: 8.2901e-03 eta: 11:06:40 time: 0.5078 data_time: 0.0293 memory: 18104 grad_norm: 5.9840 loss: 2.7843 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.5715 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.2128 2023/02/03 00:29:51 - mmengine - INFO - Epoch(train) [215][1380/1879] lr: 8.2860e-03 eta: 11:06:30 time: 0.5278 data_time: 0.0381 memory: 18104 grad_norm: 5.9629 loss: 2.9097 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.7727 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.1371 2023/02/03 00:30:01 - mmengine - INFO - Epoch(train) [215][1400/1879] lr: 8.2818e-03 eta: 11:06:19 time: 0.5022 data_time: 0.0360 memory: 18104 grad_norm: 6.0451 loss: 2.6874 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6325 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.0549 2023/02/03 00:30:11 - mmengine - INFO - Epoch(train) [215][1420/1879] lr: 8.2777e-03 eta: 11:06:09 time: 0.5118 data_time: 0.0379 memory: 18104 grad_norm: 5.8316 loss: 2.6016 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4250 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.1765 2023/02/03 00:30:22 - mmengine - INFO - Epoch(train) [215][1440/1879] lr: 8.2735e-03 eta: 11:05:58 time: 0.5114 data_time: 0.0317 memory: 18104 grad_norm: 6.2019 loss: 2.6760 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4660 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.2100 2023/02/03 00:30:32 - mmengine - INFO - Epoch(train) [215][1460/1879] lr: 8.2694e-03 eta: 11:05:48 time: 0.5164 data_time: 0.0426 memory: 18104 grad_norm: 6.1162 loss: 2.7051 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.5256 top1_acc_1: 0.7059 top5_acc_1: 0.8235 loss_cls_1: 1.1795 2023/02/03 00:30:42 - mmengine - INFO - Epoch(train) [215][1480/1879] lr: 8.2652e-03 eta: 11:05:37 time: 0.4898 data_time: 0.0299 memory: 18104 grad_norm: 5.9688 loss: 2.9721 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 1.7884 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.1837 2023/02/03 00:30:52 - mmengine - INFO - Epoch(train) [215][1500/1879] lr: 8.2611e-03 eta: 11:05:27 time: 0.5274 data_time: 0.0401 memory: 18104 grad_norm: 6.1455 loss: 2.7031 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6231 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0799 2023/02/03 00:31:03 - mmengine - INFO - Epoch(train) [215][1520/1879] lr: 8.2569e-03 eta: 11:05:17 time: 0.5034 data_time: 0.0359 memory: 18104 grad_norm: 6.0313 loss: 2.7491 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5518 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.1973 2023/02/03 00:31:13 - mmengine - INFO - Epoch(train) [215][1540/1879] lr: 8.2528e-03 eta: 11:05:06 time: 0.5188 data_time: 0.0414 memory: 18104 grad_norm: 5.9074 loss: 2.8050 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6940 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.1110 2023/02/03 00:31:23 - mmengine - INFO - Epoch(train) [215][1560/1879] lr: 8.2486e-03 eta: 11:04:56 time: 0.5030 data_time: 0.0310 memory: 18104 grad_norm: 6.1812 loss: 2.6990 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5314 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.1677 2023/02/03 00:31:34 - mmengine - INFO - Epoch(train) [215][1580/1879] lr: 8.2445e-03 eta: 11:04:46 time: 0.5262 data_time: 0.0435 memory: 18104 grad_norm: 6.0110 loss: 2.7404 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.6193 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.1211 2023/02/03 00:31:44 - mmengine - INFO - Epoch(train) [215][1600/1879] lr: 8.2404e-03 eta: 11:04:35 time: 0.5063 data_time: 0.0293 memory: 18104 grad_norm: 5.9937 loss: 2.8323 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6308 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2016 2023/02/03 00:31:54 - mmengine - INFO - Epoch(train) [215][1620/1879] lr: 8.2362e-03 eta: 11:04:25 time: 0.5173 data_time: 0.0391 memory: 18104 grad_norm: 6.0648 loss: 2.7032 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4950 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.2082 2023/02/03 00:32:04 - mmengine - INFO - Epoch(train) [215][1640/1879] lr: 8.2321e-03 eta: 11:04:14 time: 0.5118 data_time: 0.0309 memory: 18104 grad_norm: 5.9717 loss: 2.7027 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.5416 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.1612 2023/02/03 00:32:15 - mmengine - INFO - Epoch(train) [215][1660/1879] lr: 8.2279e-03 eta: 11:04:04 time: 0.5155 data_time: 0.0380 memory: 18104 grad_norm: 5.9639 loss: 2.8471 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6640 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.1831 2023/02/03 00:32:25 - mmengine - INFO - Epoch(train) [215][1680/1879] lr: 8.2238e-03 eta: 11:03:54 time: 0.5036 data_time: 0.0308 memory: 18104 grad_norm: 5.9960 loss: 2.6472 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.5355 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.1118 2023/02/03 00:32:36 - mmengine - INFO - Epoch(train) [215][1700/1879] lr: 8.2197e-03 eta: 11:03:44 time: 0.5420 data_time: 0.0372 memory: 18104 grad_norm: 6.1068 loss: 2.7666 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5394 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.2272 2023/02/03 00:32:46 - mmengine - INFO - Epoch(train) [215][1720/1879] lr: 8.2155e-03 eta: 11:03:33 time: 0.5103 data_time: 0.0392 memory: 18104 grad_norm: 6.0939 loss: 2.6807 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.5732 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.1075 2023/02/03 00:32:56 - mmengine - INFO - Epoch(train) [215][1740/1879] lr: 8.2114e-03 eta: 11:03:23 time: 0.5209 data_time: 0.0386 memory: 18104 grad_norm: 5.9215 loss: 2.7191 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.5415 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.1775 2023/02/03 00:33:07 - mmengine - INFO - Epoch(train) [215][1760/1879] lr: 8.2072e-03 eta: 11:03:13 time: 0.5113 data_time: 0.0289 memory: 18104 grad_norm: 5.9105 loss: 2.7995 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.6557 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.1438 2023/02/03 00:33:17 - mmengine - INFO - Epoch(train) [215][1780/1879] lr: 8.2031e-03 eta: 11:03:03 time: 0.5324 data_time: 0.0431 memory: 18104 grad_norm: 6.0868 loss: 2.5467 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4132 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.1335 2023/02/03 00:33:27 - mmengine - INFO - Epoch(train) [215][1800/1879] lr: 8.1990e-03 eta: 11:02:52 time: 0.5011 data_time: 0.0303 memory: 18104 grad_norm: 6.1518 loss: 2.7075 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.5517 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.1558 2023/02/03 00:33:38 - mmengine - INFO - Epoch(train) [215][1820/1879] lr: 8.1948e-03 eta: 11:02:42 time: 0.5265 data_time: 0.0368 memory: 18104 grad_norm: 5.9916 loss: 2.7466 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.6260 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.1206 2023/02/03 00:33:48 - mmengine - INFO - Epoch(train) [215][1840/1879] lr: 8.1907e-03 eta: 11:02:31 time: 0.5048 data_time: 0.0397 memory: 18104 grad_norm: 5.8551 loss: 2.7137 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.6028 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.1108 2023/02/03 00:33:58 - mmengine - INFO - Epoch(train) [215][1860/1879] lr: 8.1866e-03 eta: 11:02:21 time: 0.5227 data_time: 0.0380 memory: 18104 grad_norm: 5.8460 loss: 2.4918 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3645 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 1.1272 2023/02/03 00:34:08 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 00:34:08 - mmengine - INFO - Epoch(train) [215][1879/1879] lr: 8.1827e-03 eta: 11:02:11 time: 0.4837 data_time: 0.0264 memory: 18104 grad_norm: 6.1679 loss: 2.7868 top1_acc_0: 0.8571 top5_acc_0: 0.8571 loss_cls_0: 1.5889 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.1979 2023/02/03 00:34:20 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 00:34:23 - mmengine - INFO - Epoch(train) [216][ 20/1879] lr: 8.1785e-03 eta: 11:02:04 time: 0.7201 data_time: 0.2572 memory: 18104 grad_norm: 5.8292 loss: 2.6324 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.5272 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.1052 2023/02/03 00:34:32 - mmengine - INFO - Epoch(train) [216][ 40/1879] lr: 8.1744e-03 eta: 11:01:53 time: 0.4778 data_time: 0.0338 memory: 18104 grad_norm: 5.9702 loss: 2.7594 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5844 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.1750 2023/02/03 00:34:42 - mmengine - INFO - Epoch(train) [216][ 60/1879] lr: 8.1703e-03 eta: 11:01:43 time: 0.4905 data_time: 0.0354 memory: 18104 grad_norm: 6.0159 loss: 2.9009 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7718 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.1292 2023/02/03 00:34:52 - mmengine - INFO - Epoch(train) [216][ 80/1879] lr: 8.1662e-03 eta: 11:01:32 time: 0.5231 data_time: 0.0409 memory: 18104 grad_norm: 5.7284 loss: 2.5536 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4887 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 1.0648 2023/02/03 00:35:02 - mmengine - INFO - Epoch(train) [216][ 100/1879] lr: 8.1620e-03 eta: 11:01:21 time: 0.4857 data_time: 0.0350 memory: 18104 grad_norm: 5.8228 loss: 2.6430 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.4553 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.1877 2023/02/03 00:35:12 - mmengine - INFO - Epoch(train) [216][ 120/1879] lr: 8.1579e-03 eta: 11:01:10 time: 0.4789 data_time: 0.0355 memory: 18104 grad_norm: 6.0644 loss: 2.7358 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.6168 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.1190 2023/02/03 00:35:22 - mmengine - INFO - Epoch(train) [216][ 140/1879] lr: 8.1538e-03 eta: 11:01:00 time: 0.5060 data_time: 0.0354 memory: 18104 grad_norm: 6.0001 loss: 2.7852 top1_acc_0: 0.3125 top5_acc_0: 0.8125 loss_cls_0: 1.6352 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.1500 2023/02/03 00:35:32 - mmengine - INFO - Epoch(train) [216][ 160/1879] lr: 8.1497e-03 eta: 11:00:49 time: 0.4944 data_time: 0.0419 memory: 18104 grad_norm: 5.8442 loss: 2.6472 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 1.5115 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.1357 2023/02/03 00:35:42 - mmengine - INFO - Epoch(train) [216][ 180/1879] lr: 8.1455e-03 eta: 11:00:38 time: 0.4876 data_time: 0.0361 memory: 18104 grad_norm: 5.8994 loss: 2.4275 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.4534 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 0.9742 2023/02/03 00:35:51 - mmengine - INFO - Epoch(train) [216][ 200/1879] lr: 8.1414e-03 eta: 11:00:27 time: 0.4842 data_time: 0.0336 memory: 18104 grad_norm: 6.1067 loss: 2.6634 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.5759 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.0875 2023/02/03 00:36:02 - mmengine - INFO - Epoch(train) [216][ 220/1879] lr: 8.1373e-03 eta: 11:00:17 time: 0.5251 data_time: 0.0356 memory: 18104 grad_norm: 5.9824 loss: 2.7809 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.6142 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 1.1667 2023/02/03 00:36:12 - mmengine - INFO - Epoch(train) [216][ 240/1879] lr: 8.1332e-03 eta: 11:00:06 time: 0.4839 data_time: 0.0335 memory: 18104 grad_norm: 5.9648 loss: 2.8246 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6227 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.2019 2023/02/03 00:36:21 - mmengine - INFO - Epoch(train) [216][ 260/1879] lr: 8.1291e-03 eta: 10:59:56 time: 0.4912 data_time: 0.0343 memory: 18104 grad_norm: 6.0941 loss: 2.5872 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.4270 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.1602 2023/02/03 00:36:31 - mmengine - INFO - Epoch(train) [216][ 280/1879] lr: 8.1250e-03 eta: 10:59:45 time: 0.4883 data_time: 0.0342 memory: 18104 grad_norm: 6.1338 loss: 2.7239 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.5937 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.1302 2023/02/03 00:36:41 - mmengine - INFO - Epoch(train) [216][ 300/1879] lr: 8.1208e-03 eta: 10:59:34 time: 0.5072 data_time: 0.0345 memory: 18104 grad_norm: 6.0975 loss: 2.7619 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5747 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.1871 2023/02/03 00:36:51 - mmengine - INFO - Epoch(train) [216][ 320/1879] lr: 8.1167e-03 eta: 10:59:24 time: 0.4948 data_time: 0.0437 memory: 18104 grad_norm: 5.8704 loss: 2.4829 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3326 top1_acc_1: 0.6353 top5_acc_1: 0.8941 loss_cls_1: 1.1502 2023/02/03 00:37:01 - mmengine - INFO - Epoch(train) [216][ 340/1879] lr: 8.1126e-03 eta: 10:59:13 time: 0.5064 data_time: 0.0343 memory: 18104 grad_norm: 5.9124 loss: 2.4968 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.4157 top1_acc_1: 0.6588 top5_acc_1: 0.9412 loss_cls_1: 1.0811 2023/02/03 00:37:12 - mmengine - INFO - Epoch(train) [216][ 360/1879] lr: 8.1085e-03 eta: 10:59:03 time: 0.5251 data_time: 0.0361 memory: 18104 grad_norm: 6.0601 loss: 2.6076 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.5101 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.0975 2023/02/03 00:37:22 - mmengine - INFO - Epoch(train) [216][ 380/1879] lr: 8.1044e-03 eta: 10:58:52 time: 0.4996 data_time: 0.0406 memory: 18104 grad_norm: 5.9398 loss: 2.6650 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.5010 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.1640 2023/02/03 00:37:32 - mmengine - INFO - Epoch(train) [216][ 400/1879] lr: 8.1003e-03 eta: 10:58:42 time: 0.4995 data_time: 0.0331 memory: 18104 grad_norm: 5.8571 loss: 2.6271 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.5313 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.0958 2023/02/03 00:37:42 - mmengine - INFO - Epoch(train) [216][ 420/1879] lr: 8.0962e-03 eta: 10:58:31 time: 0.5097 data_time: 0.0333 memory: 18104 grad_norm: 5.8078 loss: 2.6423 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.4632 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.1791 2023/02/03 00:37:53 - mmengine - INFO - Epoch(train) [216][ 440/1879] lr: 8.0921e-03 eta: 10:58:21 time: 0.5163 data_time: 0.0380 memory: 18104 grad_norm: 6.0889 loss: 2.7039 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5393 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.1645 2023/02/03 00:38:03 - mmengine - INFO - Epoch(train) [216][ 460/1879] lr: 8.0880e-03 eta: 10:58:11 time: 0.5046 data_time: 0.0347 memory: 18104 grad_norm: 6.0258 loss: 2.7194 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5591 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.1603 2023/02/03 00:38:13 - mmengine - INFO - Epoch(train) [216][ 480/1879] lr: 8.0839e-03 eta: 10:58:00 time: 0.5103 data_time: 0.0365 memory: 18104 grad_norm: 5.9795 loss: 2.8182 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.6370 top1_acc_1: 0.7647 top5_acc_1: 0.8706 loss_cls_1: 1.1813 2023/02/03 00:38:23 - mmengine - INFO - Epoch(train) [216][ 500/1879] lr: 8.0797e-03 eta: 10:57:50 time: 0.5190 data_time: 0.0361 memory: 18104 grad_norm: 6.0223 loss: 2.5733 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.4155 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.1578 2023/02/03 00:38:33 - mmengine - INFO - Epoch(train) [216][ 520/1879] lr: 8.0756e-03 eta: 10:57:39 time: 0.5045 data_time: 0.0342 memory: 18104 grad_norm: 6.1220 loss: 2.4676 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3343 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.1333 2023/02/03 00:38:44 - mmengine - INFO - Epoch(train) [216][ 540/1879] lr: 8.0715e-03 eta: 10:57:29 time: 0.5045 data_time: 0.0417 memory: 18104 grad_norm: 5.9311 loss: 2.6677 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.5659 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.1018 2023/02/03 00:38:54 - mmengine - INFO - Epoch(train) [216][ 560/1879] lr: 8.0674e-03 eta: 10:57:19 time: 0.5184 data_time: 0.0338 memory: 18104 grad_norm: 6.0239 loss: 2.7916 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.6645 top1_acc_1: 0.6471 top5_acc_1: 0.9176 loss_cls_1: 1.1270 2023/02/03 00:39:04 - mmengine - INFO - Epoch(train) [216][ 580/1879] lr: 8.0633e-03 eta: 10:57:08 time: 0.5129 data_time: 0.0340 memory: 18104 grad_norm: 5.9185 loss: 2.6119 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5061 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.1058 2023/02/03 00:39:14 - mmengine - INFO - Epoch(train) [216][ 600/1879] lr: 8.0592e-03 eta: 10:56:58 time: 0.5095 data_time: 0.0328 memory: 18104 grad_norm: 6.2165 loss: 2.8154 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.6563 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 1.1590 2023/02/03 00:39:25 - mmengine - INFO - Epoch(train) [216][ 620/1879] lr: 8.0551e-03 eta: 10:56:48 time: 0.5262 data_time: 0.0424 memory: 18104 grad_norm: 5.9364 loss: 2.7183 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.6200 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 1.0984 2023/02/03 00:39:35 - mmengine - INFO - Epoch(train) [216][ 640/1879] lr: 8.0510e-03 eta: 10:56:37 time: 0.5145 data_time: 0.0300 memory: 18104 grad_norm: 6.1762 loss: 2.6087 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.4880 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 1.1207 2023/02/03 00:39:46 - mmengine - INFO - Epoch(train) [216][ 660/1879] lr: 8.0469e-03 eta: 10:56:27 time: 0.5117 data_time: 0.0369 memory: 18104 grad_norm: 6.0340 loss: 2.5908 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4528 top1_acc_1: 0.7294 top5_acc_1: 0.9529 loss_cls_1: 1.1380 2023/02/03 00:39:56 - mmengine - INFO - Epoch(train) [216][ 680/1879] lr: 8.0428e-03 eta: 10:56:17 time: 0.5166 data_time: 0.0374 memory: 18104 grad_norm: 6.2764 loss: 2.6924 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5668 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.1256 2023/02/03 00:40:06 - mmengine - INFO - Epoch(train) [216][ 700/1879] lr: 8.0387e-03 eta: 10:56:06 time: 0.5258 data_time: 0.0365 memory: 18104 grad_norm: 6.1126 loss: 2.7641 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5902 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.1739 2023/02/03 00:40:16 - mmengine - INFO - Epoch(train) [216][ 720/1879] lr: 8.0346e-03 eta: 10:55:56 time: 0.5005 data_time: 0.0319 memory: 18104 grad_norm: 6.0730 loss: 2.8955 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7951 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.1004 2023/02/03 00:40:27 - mmengine - INFO - Epoch(train) [216][ 740/1879] lr: 8.0306e-03 eta: 10:55:46 time: 0.5222 data_time: 0.0461 memory: 18104 grad_norm: 5.9473 loss: 2.4311 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3727 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 1.0584 2023/02/03 00:40:37 - mmengine - INFO - Epoch(train) [216][ 760/1879] lr: 8.0265e-03 eta: 10:55:35 time: 0.5098 data_time: 0.0317 memory: 18104 grad_norm: 5.8871 loss: 2.5451 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4465 top1_acc_1: 0.6118 top5_acc_1: 0.8353 loss_cls_1: 1.0985 2023/02/03 00:40:47 - mmengine - INFO - Epoch(train) [216][ 780/1879] lr: 8.0224e-03 eta: 10:55:25 time: 0.5125 data_time: 0.0380 memory: 18104 grad_norm: 6.0514 loss: 2.7722 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 1.6333 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.1389 2023/02/03 00:40:58 - mmengine - INFO - Epoch(train) [216][ 800/1879] lr: 8.0183e-03 eta: 10:55:14 time: 0.5073 data_time: 0.0295 memory: 18104 grad_norm: 5.9007 loss: 2.8906 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.7644 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 1.1262 2023/02/03 00:41:08 - mmengine - INFO - Epoch(train) [216][ 820/1879] lr: 8.0142e-03 eta: 10:55:04 time: 0.5306 data_time: 0.0459 memory: 18104 grad_norm: 5.8717 loss: 2.3271 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2497 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.0774 2023/02/03 00:41:19 - mmengine - INFO - Epoch(train) [216][ 840/1879] lr: 8.0101e-03 eta: 10:54:54 time: 0.5157 data_time: 0.0307 memory: 18104 grad_norm: 6.0826 loss: 2.6360 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4422 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.1938 2023/02/03 00:41:29 - mmengine - INFO - Epoch(train) [216][ 860/1879] lr: 8.0060e-03 eta: 10:54:44 time: 0.5054 data_time: 0.0373 memory: 18104 grad_norm: 6.1927 loss: 2.6401 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 1.4920 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.1481 2023/02/03 00:41:39 - mmengine - INFO - Epoch(train) [216][ 880/1879] lr: 8.0019e-03 eta: 10:54:33 time: 0.5196 data_time: 0.0310 memory: 18104 grad_norm: 5.9909 loss: 2.5435 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4025 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.1410 2023/02/03 00:41:49 - mmengine - INFO - Epoch(train) [216][ 900/1879] lr: 7.9978e-03 eta: 10:54:23 time: 0.5130 data_time: 0.0366 memory: 18104 grad_norm: 5.9451 loss: 2.4346 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.3436 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.0910 2023/02/03 00:42:00 - mmengine - INFO - Epoch(train) [216][ 920/1879] lr: 7.9938e-03 eta: 10:54:13 time: 0.5114 data_time: 0.0316 memory: 18104 grad_norm: 6.1846 loss: 2.6151 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.5106 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.1045 2023/02/03 00:42:10 - mmengine - INFO - Epoch(train) [216][ 940/1879] lr: 7.9897e-03 eta: 10:54:02 time: 0.5110 data_time: 0.0396 memory: 18104 grad_norm: 6.1845 loss: 2.5461 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.4313 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.1148 2023/02/03 00:42:20 - mmengine - INFO - Epoch(train) [216][ 960/1879] lr: 7.9856e-03 eta: 10:53:52 time: 0.5263 data_time: 0.0383 memory: 18104 grad_norm: 6.1110 loss: 2.7148 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.5510 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.1638 2023/02/03 00:42:31 - mmengine - INFO - Epoch(train) [216][ 980/1879] lr: 7.9815e-03 eta: 10:53:42 time: 0.5178 data_time: 0.0382 memory: 18104 grad_norm: 6.1384 loss: 2.7953 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.6790 top1_acc_1: 0.7294 top5_acc_1: 0.9529 loss_cls_1: 1.1164 2023/02/03 00:42:41 - mmengine - INFO - Epoch(train) [216][1000/1879] lr: 7.9774e-03 eta: 10:53:31 time: 0.5087 data_time: 0.0299 memory: 18104 grad_norm: 6.2534 loss: 2.7455 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.5604 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.1852 2023/02/03 00:42:49 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 00:42:52 - mmengine - INFO - Epoch(train) [216][1020/1879] lr: 7.9733e-03 eta: 10:53:21 time: 0.5226 data_time: 0.0449 memory: 18104 grad_norm: 6.1746 loss: 2.7842 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6715 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.1127 2023/02/03 00:43:02 - mmengine - INFO - Epoch(train) [216][1040/1879] lr: 7.9693e-03 eta: 10:53:11 time: 0.5137 data_time: 0.0297 memory: 18104 grad_norm: 6.0755 loss: 2.5009 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4062 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.0947 2023/02/03 00:43:12 - mmengine - INFO - Epoch(train) [216][1060/1879] lr: 7.9652e-03 eta: 10:53:01 time: 0.5227 data_time: 0.0371 memory: 18104 grad_norm: 5.8547 loss: 2.6625 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.5075 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.1550 2023/02/03 00:43:22 - mmengine - INFO - Epoch(train) [216][1080/1879] lr: 7.9611e-03 eta: 10:52:50 time: 0.5020 data_time: 0.0291 memory: 18104 grad_norm: 5.9560 loss: 2.7037 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.5652 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.1385 2023/02/03 00:43:33 - mmengine - INFO - Epoch(train) [216][1100/1879] lr: 7.9570e-03 eta: 10:52:40 time: 0.5100 data_time: 0.0374 memory: 18104 grad_norm: 6.0058 loss: 2.5847 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4220 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.1627 2023/02/03 00:43:43 - mmengine - INFO - Epoch(train) [216][1120/1879] lr: 7.9530e-03 eta: 10:52:29 time: 0.5206 data_time: 0.0317 memory: 18104 grad_norm: 6.0261 loss: 2.4989 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.3905 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 1.1084 2023/02/03 00:43:53 - mmengine - INFO - Epoch(train) [216][1140/1879] lr: 7.9489e-03 eta: 10:52:19 time: 0.5023 data_time: 0.0386 memory: 18104 grad_norm: 6.0158 loss: 2.3738 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2716 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.1021 2023/02/03 00:44:03 - mmengine - INFO - Epoch(train) [216][1160/1879] lr: 7.9448e-03 eta: 10:52:08 time: 0.5039 data_time: 0.0295 memory: 18104 grad_norm: 5.9331 loss: 2.4123 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.3524 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.0598 2023/02/03 00:44:13 - mmengine - INFO - Epoch(train) [216][1180/1879] lr: 7.9407e-03 eta: 10:51:58 time: 0.5121 data_time: 0.0394 memory: 18104 grad_norm: 5.9505 loss: 2.6335 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.5246 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.1089 2023/02/03 00:44:24 - mmengine - INFO - Epoch(train) [216][1200/1879] lr: 7.9367e-03 eta: 10:51:48 time: 0.5085 data_time: 0.0320 memory: 18104 grad_norm: 5.9464 loss: 2.5729 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.4829 top1_acc_1: 0.7529 top5_acc_1: 0.9647 loss_cls_1: 1.0900 2023/02/03 00:44:34 - mmengine - INFO - Epoch(train) [216][1220/1879] lr: 7.9326e-03 eta: 10:51:37 time: 0.5119 data_time: 0.0445 memory: 18104 grad_norm: 6.0645 loss: 2.8003 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.5825 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.2178 2023/02/03 00:44:44 - mmengine - INFO - Epoch(train) [216][1240/1879] lr: 7.9285e-03 eta: 10:51:27 time: 0.5048 data_time: 0.0317 memory: 18104 grad_norm: 5.9580 loss: 2.8556 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7020 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.1536 2023/02/03 00:44:54 - mmengine - INFO - Epoch(train) [216][1260/1879] lr: 7.9244e-03 eta: 10:51:16 time: 0.5185 data_time: 0.0379 memory: 18104 grad_norm: 6.2592 loss: 2.7163 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.6551 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.0612 2023/02/03 00:45:05 - mmengine - INFO - Epoch(train) [216][1280/1879] lr: 7.9204e-03 eta: 10:51:06 time: 0.5049 data_time: 0.0350 memory: 18104 grad_norm: 6.0123 loss: 2.6484 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.5586 top1_acc_1: 0.8118 top5_acc_1: 0.9647 loss_cls_1: 1.0899 2023/02/03 00:45:15 - mmengine - INFO - Epoch(train) [216][1300/1879] lr: 7.9163e-03 eta: 10:50:55 time: 0.5100 data_time: 0.0477 memory: 18104 grad_norm: 6.1978 loss: 2.7059 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.5421 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.1638 2023/02/03 00:45:25 - mmengine - INFO - Epoch(train) [216][1320/1879] lr: 7.9122e-03 eta: 10:50:45 time: 0.5137 data_time: 0.0292 memory: 18104 grad_norm: 6.1080 loss: 2.7932 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.5870 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.2061 2023/02/03 00:45:35 - mmengine - INFO - Epoch(train) [216][1340/1879] lr: 7.9082e-03 eta: 10:50:35 time: 0.5093 data_time: 0.0382 memory: 18104 grad_norm: 6.1455 loss: 2.7554 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.6184 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.1371 2023/02/03 00:45:45 - mmengine - INFO - Epoch(train) [216][1360/1879] lr: 7.9041e-03 eta: 10:50:24 time: 0.5023 data_time: 0.0292 memory: 18104 grad_norm: 6.1007 loss: 2.7057 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.5820 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.1237 2023/02/03 00:45:56 - mmengine - INFO - Epoch(train) [216][1380/1879] lr: 7.9001e-03 eta: 10:50:14 time: 0.5190 data_time: 0.0379 memory: 18104 grad_norm: 6.0680 loss: 2.9261 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7617 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.1644 2023/02/03 00:46:06 - mmengine - INFO - Epoch(train) [216][1400/1879] lr: 7.8960e-03 eta: 10:50:04 time: 0.5192 data_time: 0.0319 memory: 18104 grad_norm: 6.0485 loss: 2.6585 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.5080 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.1505 2023/02/03 00:46:16 - mmengine - INFO - Epoch(train) [216][1420/1879] lr: 7.8919e-03 eta: 10:49:53 time: 0.5144 data_time: 0.0381 memory: 18104 grad_norm: 6.0701 loss: 2.5524 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.3437 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 1.2086 2023/02/03 00:46:27 - mmengine - INFO - Epoch(train) [216][1440/1879] lr: 7.8879e-03 eta: 10:49:43 time: 0.5375 data_time: 0.0367 memory: 18104 grad_norm: 5.9616 loss: 2.5274 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.4641 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.0634 2023/02/03 00:46:38 - mmengine - INFO - Epoch(train) [216][1460/1879] lr: 7.8838e-03 eta: 10:49:33 time: 0.5229 data_time: 0.0371 memory: 18104 grad_norm: 6.0378 loss: 2.5748 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4379 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.1368 2023/02/03 00:46:48 - mmengine - INFO - Epoch(train) [216][1480/1879] lr: 7.8797e-03 eta: 10:49:23 time: 0.5140 data_time: 0.0305 memory: 18104 grad_norm: 6.1865 loss: 2.8110 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6313 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.1797 2023/02/03 00:46:58 - mmengine - INFO - Epoch(train) [216][1500/1879] lr: 7.8757e-03 eta: 10:49:13 time: 0.5177 data_time: 0.0467 memory: 18104 grad_norm: 6.1641 loss: 2.4677 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3574 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.1102 2023/02/03 00:47:09 - mmengine - INFO - Epoch(train) [216][1520/1879] lr: 7.8716e-03 eta: 10:49:02 time: 0.5248 data_time: 0.0295 memory: 18104 grad_norm: 6.0093 loss: 2.6573 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.5225 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.1348 2023/02/03 00:47:19 - mmengine - INFO - Epoch(train) [216][1540/1879] lr: 7.8676e-03 eta: 10:48:52 time: 0.5055 data_time: 0.0378 memory: 18104 grad_norm: 5.9682 loss: 2.6590 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.4665 top1_acc_1: 0.7765 top5_acc_1: 0.9765 loss_cls_1: 1.1925 2023/02/03 00:47:29 - mmengine - INFO - Epoch(train) [216][1560/1879] lr: 7.8635e-03 eta: 10:48:42 time: 0.5142 data_time: 0.0309 memory: 18104 grad_norm: 6.1710 loss: 2.8613 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6698 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.1915 2023/02/03 00:47:40 - mmengine - INFO - Epoch(train) [216][1580/1879] lr: 7.8595e-03 eta: 10:48:32 time: 0.5341 data_time: 0.0463 memory: 18104 grad_norm: 5.9694 loss: 2.8388 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.7620 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.0767 2023/02/03 00:47:50 - mmengine - INFO - Epoch(train) [216][1600/1879] lr: 7.8554e-03 eta: 10:48:21 time: 0.5047 data_time: 0.0312 memory: 18104 grad_norm: 6.0456 loss: 2.7159 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.5316 top1_acc_1: 0.7412 top5_acc_1: 0.8353 loss_cls_1: 1.1843 2023/02/03 00:48:00 - mmengine - INFO - Epoch(train) [216][1620/1879] lr: 7.8514e-03 eta: 10:48:11 time: 0.5027 data_time: 0.0413 memory: 18104 grad_norm: 6.0121 loss: 2.5739 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4053 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 1.1685 2023/02/03 00:48:11 - mmengine - INFO - Epoch(train) [216][1640/1879] lr: 7.8473e-03 eta: 10:48:00 time: 0.5178 data_time: 0.0304 memory: 18104 grad_norm: 5.9810 loss: 2.4533 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3004 top1_acc_1: 0.7765 top5_acc_1: 0.8471 loss_cls_1: 1.1529 2023/02/03 00:48:21 - mmengine - INFO - Epoch(train) [216][1660/1879] lr: 7.8433e-03 eta: 10:47:50 time: 0.5132 data_time: 0.0382 memory: 18104 grad_norm: 5.9210 loss: 2.5005 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.3432 top1_acc_1: 0.7765 top5_acc_1: 0.8471 loss_cls_1: 1.1573 2023/02/03 00:48:31 - mmengine - INFO - Epoch(train) [216][1680/1879] lr: 7.8392e-03 eta: 10:47:39 time: 0.5008 data_time: 0.0308 memory: 18104 grad_norm: 5.9640 loss: 2.4373 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 1.2943 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 1.1430 2023/02/03 00:48:41 - mmengine - INFO - Epoch(train) [216][1700/1879] lr: 7.8352e-03 eta: 10:47:29 time: 0.5027 data_time: 0.0374 memory: 18104 grad_norm: 6.0166 loss: 2.5901 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.4587 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.1314 2023/02/03 00:48:52 - mmengine - INFO - Epoch(train) [216][1720/1879] lr: 7.8311e-03 eta: 10:47:19 time: 0.5499 data_time: 0.0441 memory: 18104 grad_norm: 5.9401 loss: 2.5791 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4335 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.1456 2023/02/03 00:49:02 - mmengine - INFO - Epoch(train) [216][1740/1879] lr: 7.8271e-03 eta: 10:47:09 time: 0.5055 data_time: 0.0352 memory: 18104 grad_norm: 6.1263 loss: 2.6664 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.5439 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.1225 2023/02/03 00:49:12 - mmengine - INFO - Epoch(train) [216][1760/1879] lr: 7.8230e-03 eta: 10:46:58 time: 0.5009 data_time: 0.0307 memory: 18104 grad_norm: 6.1864 loss: 2.8775 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.7334 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.1441 2023/02/03 00:49:23 - mmengine - INFO - Epoch(train) [216][1780/1879] lr: 7.8190e-03 eta: 10:46:48 time: 0.5343 data_time: 0.0366 memory: 18104 grad_norm: 6.0594 loss: 2.9151 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.7361 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.1790 2023/02/03 00:49:33 - mmengine - INFO - Epoch(train) [216][1800/1879] lr: 7.8149e-03 eta: 10:46:38 time: 0.5126 data_time: 0.0407 memory: 18104 grad_norm: 6.1706 loss: 2.7585 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6232 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.1353 2023/02/03 00:49:43 - mmengine - INFO - Epoch(train) [216][1820/1879] lr: 7.8109e-03 eta: 10:46:27 time: 0.5035 data_time: 0.0367 memory: 18104 grad_norm: 6.0081 loss: 2.7405 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5615 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.1790 2023/02/03 00:49:53 - mmengine - INFO - Epoch(train) [216][1840/1879] lr: 7.8069e-03 eta: 10:46:17 time: 0.5023 data_time: 0.0298 memory: 18104 grad_norm: 5.9809 loss: 2.6288 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.5015 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.1273 2023/02/03 00:50:04 - mmengine - INFO - Epoch(train) [216][1860/1879] lr: 7.8028e-03 eta: 10:46:06 time: 0.5107 data_time: 0.0370 memory: 18104 grad_norm: 6.1087 loss: 2.4459 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3408 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.1050 2023/02/03 00:50:13 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 00:50:13 - mmengine - INFO - Epoch(train) [216][1879/1879] lr: 7.7990e-03 eta: 10:45:56 time: 0.4915 data_time: 0.0401 memory: 18104 grad_norm: 6.1973 loss: 2.5583 top1_acc_0: 0.7143 top5_acc_0: 0.7143 loss_cls_0: 1.5048 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.0534 2023/02/03 00:50:14 - mmengine - INFO - Saving checkpoint at 216 epochs 2023/02/03 00:50:25 - mmengine - INFO - Epoch(val) [216][ 20/155] eta: 0:01:02 time: 0.4604 data_time: 0.3476 memory: 1900 2023/02/03 00:50:33 - mmengine - INFO - Epoch(val) [216][ 40/155] eta: 0:00:52 time: 0.4454 data_time: 0.3340 memory: 1900 2023/02/03 00:50:42 - mmengine - INFO - Epoch(val) [216][ 60/155] eta: 0:00:42 time: 0.4230 data_time: 0.3116 memory: 1900 2023/02/03 00:50:51 - mmengine - INFO - Epoch(val) [216][ 80/155] eta: 0:00:33 time: 0.4622 data_time: 0.3502 memory: 1900 2023/02/03 00:51:00 - mmengine - INFO - Epoch(val) [216][100/155] eta: 0:00:24 time: 0.4467 data_time: 0.3358 memory: 1900 2023/02/03 00:51:09 - mmengine - INFO - Epoch(val) [216][120/155] eta: 0:00:15 time: 0.4668 data_time: 0.3549 memory: 1900 2023/02/03 00:51:18 - mmengine - INFO - Epoch(val) [216][140/155] eta: 0:00:06 time: 0.4371 data_time: 0.3257 memory: 1900 2023/02/03 00:51:26 - mmengine - INFO - Epoch(val) [216][155/155] acc/top1: 0.6545 acc/top5: 0.8607 acc/mean1: 0.6544 2023/02/03 00:51:26 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_212.pth is removed 2023/02/03 00:51:28 - mmengine - INFO - The best checkpoint with 0.6545 acc/top1 at 216 epoch is saved to best_acc/top1_epoch_216.pth. 2023/02/03 00:51:42 - mmengine - INFO - Epoch(train) [217][ 20/1879] lr: 7.7949e-03 eta: 10:45:49 time: 0.6949 data_time: 0.2353 memory: 18104 grad_norm: 6.0648 loss: 2.7135 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5423 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.1712 2023/02/03 00:51:51 - mmengine - INFO - Epoch(train) [217][ 40/1879] lr: 7.7909e-03 eta: 10:45:38 time: 0.4816 data_time: 0.0296 memory: 18104 grad_norm: 6.0274 loss: 2.6008 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4695 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.1313 2023/02/03 00:52:01 - mmengine - INFO - Epoch(train) [217][ 60/1879] lr: 7.7869e-03 eta: 10:45:27 time: 0.5020 data_time: 0.0374 memory: 18104 grad_norm: 6.0517 loss: 2.7460 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5881 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.1579 2023/02/03 00:52:12 - mmengine - INFO - Epoch(train) [217][ 80/1879] lr: 7.7828e-03 eta: 10:45:17 time: 0.5191 data_time: 0.0390 memory: 18104 grad_norm: 6.0570 loss: 2.6208 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5325 top1_acc_1: 0.7412 top5_acc_1: 0.9529 loss_cls_1: 1.0883 2023/02/03 00:52:22 - mmengine - INFO - Epoch(train) [217][ 100/1879] lr: 7.7788e-03 eta: 10:45:06 time: 0.4940 data_time: 0.0375 memory: 18104 grad_norm: 5.9857 loss: 2.5804 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4693 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.1111 2023/02/03 00:52:31 - mmengine - INFO - Epoch(train) [217][ 120/1879] lr: 7.7748e-03 eta: 10:44:55 time: 0.4807 data_time: 0.0314 memory: 18104 grad_norm: 5.8924 loss: 2.5900 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4825 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.1075 2023/02/03 00:52:40 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 00:52:42 - mmengine - INFO - Epoch(train) [217][ 140/1879] lr: 7.7707e-03 eta: 10:44:45 time: 0.5278 data_time: 0.0486 memory: 18104 grad_norm: 5.8793 loss: 2.4293 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.3649 top1_acc_1: 0.7882 top5_acc_1: 0.8824 loss_cls_1: 1.0644 2023/02/03 00:52:52 - mmengine - INFO - Epoch(train) [217][ 160/1879] lr: 7.7667e-03 eta: 10:44:34 time: 0.4758 data_time: 0.0292 memory: 18104 grad_norm: 6.1725 loss: 2.4496 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.3458 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.1038 2023/02/03 00:53:01 - mmengine - INFO - Epoch(train) [217][ 180/1879] lr: 7.7627e-03 eta: 10:44:24 time: 0.4936 data_time: 0.0391 memory: 18104 grad_norm: 6.0104 loss: 2.6638 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5132 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 1.1506 2023/02/03 00:53:11 - mmengine - INFO - Epoch(train) [217][ 200/1879] lr: 7.7586e-03 eta: 10:44:13 time: 0.4888 data_time: 0.0292 memory: 18104 grad_norm: 5.9976 loss: 2.6786 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.5248 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.1538 2023/02/03 00:53:22 - mmengine - INFO - Epoch(train) [217][ 220/1879] lr: 7.7546e-03 eta: 10:44:03 time: 0.5229 data_time: 0.0420 memory: 18104 grad_norm: 6.1464 loss: 2.6622 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.4852 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.1770 2023/02/03 00:53:31 - mmengine - INFO - Epoch(train) [217][ 240/1879] lr: 7.7506e-03 eta: 10:43:52 time: 0.4780 data_time: 0.0303 memory: 18104 grad_norm: 6.0291 loss: 2.7295 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.5731 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.1564 2023/02/03 00:53:41 - mmengine - INFO - Epoch(train) [217][ 260/1879] lr: 7.7466e-03 eta: 10:43:41 time: 0.5001 data_time: 0.0387 memory: 18104 grad_norm: 6.0846 loss: 2.5044 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4029 top1_acc_1: 0.7059 top5_acc_1: 0.9412 loss_cls_1: 1.1015 2023/02/03 00:53:51 - mmengine - INFO - Epoch(train) [217][ 280/1879] lr: 7.7425e-03 eta: 10:43:31 time: 0.5047 data_time: 0.0371 memory: 18104 grad_norm: 6.1161 loss: 2.8025 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.6955 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.1070 2023/02/03 00:54:01 - mmengine - INFO - Epoch(train) [217][ 300/1879] lr: 7.7385e-03 eta: 10:43:20 time: 0.5030 data_time: 0.0402 memory: 18104 grad_norm: 6.1162 loss: 2.6258 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.4449 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.1809 2023/02/03 00:54:11 - mmengine - INFO - Epoch(train) [217][ 320/1879] lr: 7.7345e-03 eta: 10:43:09 time: 0.4776 data_time: 0.0328 memory: 18104 grad_norm: 6.0578 loss: 2.5417 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.4274 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.1143 2023/02/03 00:54:22 - mmengine - INFO - Epoch(train) [217][ 340/1879] lr: 7.7305e-03 eta: 10:42:59 time: 0.5305 data_time: 0.0388 memory: 18104 grad_norm: 6.0137 loss: 2.5536 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4887 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.0648 2023/02/03 00:54:31 - mmengine - INFO - Epoch(train) [217][ 360/1879] lr: 7.7264e-03 eta: 10:42:48 time: 0.4874 data_time: 0.0363 memory: 18104 grad_norm: 6.1583 loss: 2.7816 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.6144 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.1672 2023/02/03 00:54:41 - mmengine - INFO - Epoch(train) [217][ 380/1879] lr: 7.7224e-03 eta: 10:42:37 time: 0.4936 data_time: 0.0363 memory: 18104 grad_norm: 6.1935 loss: 2.7572 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.6434 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.1138 2023/02/03 00:54:51 - mmengine - INFO - Epoch(train) [217][ 400/1879] lr: 7.7184e-03 eta: 10:42:27 time: 0.4883 data_time: 0.0307 memory: 18104 grad_norm: 6.0800 loss: 2.7452 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6342 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.1110 2023/02/03 00:55:01 - mmengine - INFO - Epoch(train) [217][ 420/1879] lr: 7.7144e-03 eta: 10:42:16 time: 0.5150 data_time: 0.0458 memory: 18104 grad_norm: 6.0475 loss: 2.9022 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.7739 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.1282 2023/02/03 00:55:11 - mmengine - INFO - Epoch(train) [217][ 440/1879] lr: 7.7103e-03 eta: 10:42:05 time: 0.4753 data_time: 0.0307 memory: 18104 grad_norm: 6.0867 loss: 2.6017 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4851 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 1.1166 2023/02/03 00:55:21 - mmengine - INFO - Epoch(train) [217][ 460/1879] lr: 7.7063e-03 eta: 10:41:55 time: 0.4929 data_time: 0.0392 memory: 18104 grad_norm: 6.0060 loss: 2.7419 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6045 top1_acc_1: 0.7765 top5_acc_1: 0.9647 loss_cls_1: 1.1374 2023/02/03 00:55:31 - mmengine - INFO - Epoch(train) [217][ 480/1879] lr: 7.7023e-03 eta: 10:41:44 time: 0.4906 data_time: 0.0301 memory: 18104 grad_norm: 6.0401 loss: 2.5563 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4333 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.1230 2023/02/03 00:55:41 - mmengine - INFO - Epoch(train) [217][ 500/1879] lr: 7.6983e-03 eta: 10:41:33 time: 0.5052 data_time: 0.0440 memory: 18104 grad_norm: 5.9757 loss: 2.5784 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4223 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.1561 2023/02/03 00:55:51 - mmengine - INFO - Epoch(train) [217][ 520/1879] lr: 7.6943e-03 eta: 10:41:22 time: 0.4829 data_time: 0.0320 memory: 18104 grad_norm: 6.2045 loss: 2.7531 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.6777 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.0754 2023/02/03 00:56:01 - mmengine - INFO - Epoch(train) [217][ 540/1879] lr: 7.6903e-03 eta: 10:41:12 time: 0.5020 data_time: 0.0385 memory: 18104 grad_norm: 6.1364 loss: 2.7550 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.6445 top1_acc_1: 0.5765 top5_acc_1: 0.7647 loss_cls_1: 1.1105 2023/02/03 00:56:11 - mmengine - INFO - Epoch(train) [217][ 560/1879] lr: 7.6863e-03 eta: 10:41:01 time: 0.5022 data_time: 0.0393 memory: 18104 grad_norm: 6.2217 loss: 2.6544 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.5697 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0846 2023/02/03 00:56:21 - mmengine - INFO - Epoch(train) [217][ 580/1879] lr: 7.6822e-03 eta: 10:40:51 time: 0.5033 data_time: 0.0371 memory: 18104 grad_norm: 6.0859 loss: 2.5126 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3920 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.1206 2023/02/03 00:56:31 - mmengine - INFO - Epoch(train) [217][ 600/1879] lr: 7.6782e-03 eta: 10:40:40 time: 0.4904 data_time: 0.0327 memory: 18104 grad_norm: 6.2157 loss: 2.7058 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.5793 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.1265 2023/02/03 00:56:41 - mmengine - INFO - Epoch(train) [217][ 620/1879] lr: 7.6742e-03 eta: 10:40:30 time: 0.5333 data_time: 0.0440 memory: 18104 grad_norm: 6.2229 loss: 2.6798 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 1.5616 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.1182 2023/02/03 00:56:51 - mmengine - INFO - Epoch(train) [217][ 640/1879] lr: 7.6702e-03 eta: 10:40:19 time: 0.4922 data_time: 0.0314 memory: 18104 grad_norm: 6.1302 loss: 2.6529 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.4798 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.1731 2023/02/03 00:57:01 - mmengine - INFO - Epoch(train) [217][ 660/1879] lr: 7.6662e-03 eta: 10:40:09 time: 0.5164 data_time: 0.0357 memory: 18104 grad_norm: 6.0914 loss: 2.5510 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4386 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.1123 2023/02/03 00:57:11 - mmengine - INFO - Epoch(train) [217][ 680/1879] lr: 7.6622e-03 eta: 10:39:58 time: 0.4987 data_time: 0.0310 memory: 18104 grad_norm: 6.1817 loss: 2.5991 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.4592 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 1.1399 2023/02/03 00:57:22 - mmengine - INFO - Epoch(train) [217][ 700/1879] lr: 7.6582e-03 eta: 10:39:48 time: 0.5190 data_time: 0.0411 memory: 18104 grad_norm: 6.0443 loss: 2.4298 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.3994 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.0303 2023/02/03 00:57:32 - mmengine - INFO - Epoch(train) [217][ 720/1879] lr: 7.6542e-03 eta: 10:39:37 time: 0.4948 data_time: 0.0315 memory: 18104 grad_norm: 5.8307 loss: 2.6832 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.5363 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 1.1469 2023/02/03 00:57:42 - mmengine - INFO - Epoch(train) [217][ 740/1879] lr: 7.6502e-03 eta: 10:39:27 time: 0.5081 data_time: 0.0357 memory: 18104 grad_norm: 6.1231 loss: 2.5190 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4266 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.0924 2023/02/03 00:57:52 - mmengine - INFO - Epoch(train) [217][ 760/1879] lr: 7.6462e-03 eta: 10:39:16 time: 0.5059 data_time: 0.0394 memory: 18104 grad_norm: 6.2551 loss: 2.5926 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4399 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.1527 2023/02/03 00:58:02 - mmengine - INFO - Epoch(train) [217][ 780/1879] lr: 7.6422e-03 eta: 10:39:06 time: 0.5127 data_time: 0.0360 memory: 18104 grad_norm: 6.1797 loss: 2.8394 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.7177 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.1217 2023/02/03 00:58:12 - mmengine - INFO - Epoch(train) [217][ 800/1879] lr: 7.6382e-03 eta: 10:38:56 time: 0.5029 data_time: 0.0317 memory: 18104 grad_norm: 6.1418 loss: 2.7348 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5928 top1_acc_1: 0.7059 top5_acc_1: 0.9412 loss_cls_1: 1.1419 2023/02/03 00:58:23 - mmengine - INFO - Epoch(train) [217][ 820/1879] lr: 7.6342e-03 eta: 10:38:45 time: 0.5108 data_time: 0.0352 memory: 18104 grad_norm: 6.1233 loss: 2.6296 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4705 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.1592 2023/02/03 00:58:33 - mmengine - INFO - Epoch(train) [217][ 840/1879] lr: 7.6302e-03 eta: 10:38:35 time: 0.5028 data_time: 0.0399 memory: 18104 grad_norm: 6.1585 loss: 2.6014 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5052 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 1.0962 2023/02/03 00:58:43 - mmengine - INFO - Epoch(train) [217][ 860/1879] lr: 7.6262e-03 eta: 10:38:24 time: 0.5143 data_time: 0.0354 memory: 18104 grad_norm: 6.2188 loss: 2.7354 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6309 top1_acc_1: 0.6353 top5_acc_1: 0.8471 loss_cls_1: 1.1046 2023/02/03 00:58:53 - mmengine - INFO - Epoch(train) [217][ 880/1879] lr: 7.6222e-03 eta: 10:38:14 time: 0.4963 data_time: 0.0313 memory: 18104 grad_norm: 6.0467 loss: 2.8129 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7156 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.0973 2023/02/03 00:59:03 - mmengine - INFO - Epoch(train) [217][ 900/1879] lr: 7.6182e-03 eta: 10:38:03 time: 0.5189 data_time: 0.0341 memory: 18104 grad_norm: 5.9872 loss: 2.4613 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3650 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.0963 2023/02/03 00:59:13 - mmengine - INFO - Epoch(train) [217][ 920/1879] lr: 7.6142e-03 eta: 10:37:53 time: 0.4936 data_time: 0.0346 memory: 18104 grad_norm: 6.1051 loss: 2.8235 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7040 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.1196 2023/02/03 00:59:24 - mmengine - INFO - Epoch(train) [217][ 940/1879] lr: 7.6102e-03 eta: 10:37:42 time: 0.5213 data_time: 0.0338 memory: 18104 grad_norm: 5.9971 loss: 2.4613 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.3225 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.1388 2023/02/03 00:59:34 - mmengine - INFO - Epoch(train) [217][ 960/1879] lr: 7.6062e-03 eta: 10:37:32 time: 0.4979 data_time: 0.0331 memory: 18104 grad_norm: 6.1314 loss: 2.7140 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5323 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.1818 2023/02/03 00:59:44 - mmengine - INFO - Epoch(train) [217][ 980/1879] lr: 7.6022e-03 eta: 10:37:21 time: 0.5055 data_time: 0.0416 memory: 18104 grad_norm: 6.2531 loss: 2.8642 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 1.7988 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.0654 2023/02/03 00:59:54 - mmengine - INFO - Epoch(train) [217][1000/1879] lr: 7.5982e-03 eta: 10:37:11 time: 0.5195 data_time: 0.0330 memory: 18104 grad_norm: 6.1662 loss: 2.6288 top1_acc_0: 0.5625 top5_acc_0: 1.0000 loss_cls_0: 1.4790 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.1498 2023/02/03 01:00:05 - mmengine - INFO - Epoch(train) [217][1020/1879] lr: 7.5942e-03 eta: 10:37:01 time: 0.5199 data_time: 0.0365 memory: 18104 grad_norm: 6.0384 loss: 2.7275 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.6328 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.0947 2023/02/03 01:00:15 - mmengine - INFO - Epoch(train) [217][1040/1879] lr: 7.5902e-03 eta: 10:36:50 time: 0.5051 data_time: 0.0391 memory: 18104 grad_norm: 5.9737 loss: 2.4579 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.3178 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.1401 2023/02/03 01:00:25 - mmengine - INFO - Epoch(train) [217][1060/1879] lr: 7.5863e-03 eta: 10:36:40 time: 0.5160 data_time: 0.0360 memory: 18104 grad_norm: 6.2110 loss: 2.7921 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6616 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 1.1305 2023/02/03 01:00:36 - mmengine - INFO - Epoch(train) [217][1080/1879] lr: 7.5823e-03 eta: 10:36:30 time: 0.5159 data_time: 0.0308 memory: 18104 grad_norm: 5.9633 loss: 2.6984 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5363 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.1621 2023/02/03 01:00:46 - mmengine - INFO - Epoch(train) [217][1100/1879] lr: 7.5783e-03 eta: 10:36:19 time: 0.5091 data_time: 0.0354 memory: 18104 grad_norm: 5.9759 loss: 2.7094 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6361 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.0732 2023/02/03 01:00:56 - mmengine - INFO - Epoch(train) [217][1120/1879] lr: 7.5743e-03 eta: 10:36:09 time: 0.5035 data_time: 0.0406 memory: 18104 grad_norm: 6.1216 loss: 2.6965 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.5575 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.1390 2023/02/03 01:01:04 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 01:01:06 - mmengine - INFO - Epoch(train) [217][1140/1879] lr: 7.5703e-03 eta: 10:35:59 time: 0.5171 data_time: 0.0366 memory: 18104 grad_norm: 6.2021 loss: 2.5695 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4839 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.0856 2023/02/03 01:01:16 - mmengine - INFO - Epoch(train) [217][1160/1879] lr: 7.5663e-03 eta: 10:35:48 time: 0.5031 data_time: 0.0318 memory: 18104 grad_norm: 6.1063 loss: 2.5347 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4598 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.0748 2023/02/03 01:01:27 - mmengine - INFO - Epoch(train) [217][1180/1879] lr: 7.5623e-03 eta: 10:35:38 time: 0.5088 data_time: 0.0409 memory: 18104 grad_norm: 6.0934 loss: 2.5328 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.4127 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.1201 2023/02/03 01:01:37 - mmengine - INFO - Epoch(train) [217][1200/1879] lr: 7.5584e-03 eta: 10:35:27 time: 0.4997 data_time: 0.0317 memory: 18104 grad_norm: 5.9315 loss: 2.6761 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5823 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.0937 2023/02/03 01:01:47 - mmengine - INFO - Epoch(train) [217][1220/1879] lr: 7.5544e-03 eta: 10:35:17 time: 0.5114 data_time: 0.0373 memory: 18104 grad_norm: 6.0227 loss: 2.4621 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3785 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0835 2023/02/03 01:01:57 - mmengine - INFO - Epoch(train) [217][1240/1879] lr: 7.5504e-03 eta: 10:35:06 time: 0.4841 data_time: 0.0319 memory: 18104 grad_norm: 5.8725 loss: 2.5810 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4766 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.1043 2023/02/03 01:02:07 - mmengine - INFO - Epoch(train) [217][1260/1879] lr: 7.5464e-03 eta: 10:34:56 time: 0.5224 data_time: 0.0344 memory: 18104 grad_norm: 5.9785 loss: 2.6122 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.5201 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.0920 2023/02/03 01:02:17 - mmengine - INFO - Epoch(train) [217][1280/1879] lr: 7.5424e-03 eta: 10:34:45 time: 0.5063 data_time: 0.0343 memory: 18104 grad_norm: 5.9579 loss: 2.6672 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.5003 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.1669 2023/02/03 01:02:28 - mmengine - INFO - Epoch(train) [217][1300/1879] lr: 7.5385e-03 eta: 10:34:35 time: 0.5187 data_time: 0.0363 memory: 18104 grad_norm: 6.1764 loss: 2.7844 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6953 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 1.0891 2023/02/03 01:02:38 - mmengine - INFO - Epoch(train) [217][1320/1879] lr: 7.5345e-03 eta: 10:34:25 time: 0.5230 data_time: 0.0370 memory: 18104 grad_norm: 6.0364 loss: 2.5787 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4471 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.1316 2023/02/03 01:02:49 - mmengine - INFO - Epoch(train) [217][1340/1879] lr: 7.5305e-03 eta: 10:34:15 time: 0.5350 data_time: 0.0348 memory: 18104 grad_norm: 6.1771 loss: 2.8681 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.7138 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.1544 2023/02/03 01:02:59 - mmengine - INFO - Epoch(train) [217][1360/1879] lr: 7.5265e-03 eta: 10:34:04 time: 0.5056 data_time: 0.0338 memory: 18104 grad_norm: 6.1271 loss: 2.5034 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4420 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.0613 2023/02/03 01:03:09 - mmengine - INFO - Epoch(train) [217][1380/1879] lr: 7.5226e-03 eta: 10:33:54 time: 0.5225 data_time: 0.0343 memory: 18104 grad_norm: 6.1483 loss: 2.5434 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4359 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 1.1075 2023/02/03 01:03:20 - mmengine - INFO - Epoch(train) [217][1400/1879] lr: 7.5186e-03 eta: 10:33:44 time: 0.5204 data_time: 0.0383 memory: 18104 grad_norm: 6.0794 loss: 2.6199 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5084 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.1116 2023/02/03 01:03:30 - mmengine - INFO - Epoch(train) [217][1420/1879] lr: 7.5146e-03 eta: 10:33:34 time: 0.5297 data_time: 0.0337 memory: 18104 grad_norm: 6.1166 loss: 2.6741 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5638 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.1103 2023/02/03 01:03:41 - mmengine - INFO - Epoch(train) [217][1440/1879] lr: 7.5106e-03 eta: 10:33:23 time: 0.5151 data_time: 0.0336 memory: 18104 grad_norm: 6.0415 loss: 2.4604 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3410 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.1194 2023/02/03 01:03:52 - mmengine - INFO - Epoch(train) [217][1460/1879] lr: 7.5067e-03 eta: 10:33:14 time: 0.5383 data_time: 0.0399 memory: 18104 grad_norm: 6.0409 loss: 2.5155 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.3789 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.1365 2023/02/03 01:04:02 - mmengine - INFO - Epoch(train) [217][1480/1879] lr: 7.5027e-03 eta: 10:33:03 time: 0.5192 data_time: 0.0326 memory: 18104 grad_norm: 5.9918 loss: 2.6872 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4865 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 1.2007 2023/02/03 01:04:13 - mmengine - INFO - Epoch(train) [217][1500/1879] lr: 7.4987e-03 eta: 10:32:53 time: 0.5341 data_time: 0.0324 memory: 18104 grad_norm: 5.9844 loss: 2.7743 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6196 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 1.1547 2023/02/03 01:04:23 - mmengine - INFO - Epoch(train) [217][1520/1879] lr: 7.4948e-03 eta: 10:32:43 time: 0.5074 data_time: 0.0377 memory: 18104 grad_norm: 5.9815 loss: 2.7137 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.5657 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.1480 2023/02/03 01:04:33 - mmengine - INFO - Epoch(train) [217][1540/1879] lr: 7.4908e-03 eta: 10:32:33 time: 0.5343 data_time: 0.0340 memory: 18104 grad_norm: 5.9850 loss: 2.8114 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.7105 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.1009 2023/02/03 01:04:44 - mmengine - INFO - Epoch(train) [217][1560/1879] lr: 7.4868e-03 eta: 10:32:23 time: 0.5204 data_time: 0.0331 memory: 18104 grad_norm: 5.9399 loss: 2.5226 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.3789 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.1437 2023/02/03 01:04:54 - mmengine - INFO - Epoch(train) [217][1580/1879] lr: 7.4829e-03 eta: 10:32:12 time: 0.5198 data_time: 0.0339 memory: 18104 grad_norm: 6.0250 loss: 2.7398 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 1.5946 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.1452 2023/02/03 01:05:05 - mmengine - INFO - Epoch(train) [217][1600/1879] lr: 7.4789e-03 eta: 10:32:02 time: 0.5164 data_time: 0.0403 memory: 18104 grad_norm: 6.2012 loss: 2.4265 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3015 top1_acc_1: 0.6118 top5_acc_1: 0.8235 loss_cls_1: 1.1250 2023/02/03 01:05:15 - mmengine - INFO - Epoch(train) [217][1620/1879] lr: 7.4750e-03 eta: 10:31:52 time: 0.5203 data_time: 0.0338 memory: 18104 grad_norm: 6.2217 loss: 2.8762 top1_acc_0: 0.5625 top5_acc_0: 1.0000 loss_cls_0: 1.7373 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.1388 2023/02/03 01:05:25 - mmengine - INFO - Epoch(train) [217][1640/1879] lr: 7.4710e-03 eta: 10:31:42 time: 0.5149 data_time: 0.0322 memory: 18104 grad_norm: 6.0654 loss: 2.6039 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.5025 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.1014 2023/02/03 01:05:36 - mmengine - INFO - Epoch(train) [217][1660/1879] lr: 7.4670e-03 eta: 10:31:31 time: 0.5209 data_time: 0.0417 memory: 18104 grad_norm: 6.0998 loss: 2.5244 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4410 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 1.0834 2023/02/03 01:05:46 - mmengine - INFO - Epoch(train) [217][1680/1879] lr: 7.4631e-03 eta: 10:31:21 time: 0.5267 data_time: 0.0341 memory: 18104 grad_norm: 6.0698 loss: 2.5290 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4307 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 1.0983 2023/02/03 01:05:57 - mmengine - INFO - Epoch(train) [217][1700/1879] lr: 7.4591e-03 eta: 10:31:11 time: 0.5193 data_time: 0.0347 memory: 18104 grad_norm: 6.1821 loss: 2.6245 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.6201 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 1.0045 2023/02/03 01:06:07 - mmengine - INFO - Epoch(train) [217][1720/1879] lr: 7.4552e-03 eta: 10:31:01 time: 0.5143 data_time: 0.0342 memory: 18104 grad_norm: 6.2469 loss: 2.6281 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5076 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.1205 2023/02/03 01:06:18 - mmengine - INFO - Epoch(train) [217][1740/1879] lr: 7.4512e-03 eta: 10:30:51 time: 0.5394 data_time: 0.0401 memory: 18104 grad_norm: 6.0922 loss: 2.5304 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3833 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.1471 2023/02/03 01:06:28 - mmengine - INFO - Epoch(train) [217][1760/1879] lr: 7.4473e-03 eta: 10:30:40 time: 0.5091 data_time: 0.0329 memory: 18104 grad_norm: 6.1892 loss: 2.8496 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.6571 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.1925 2023/02/03 01:06:39 - mmengine - INFO - Epoch(train) [217][1780/1879] lr: 7.4433e-03 eta: 10:30:30 time: 0.5327 data_time: 0.0333 memory: 18104 grad_norm: 6.3124 loss: 2.5572 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.4602 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.0970 2023/02/03 01:06:49 - mmengine - INFO - Epoch(train) [217][1800/1879] lr: 7.4393e-03 eta: 10:30:20 time: 0.5244 data_time: 0.0457 memory: 18104 grad_norm: 6.3931 loss: 2.5909 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4123 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.1786 2023/02/03 01:07:00 - mmengine - INFO - Epoch(train) [217][1820/1879] lr: 7.4354e-03 eta: 10:30:10 time: 0.5199 data_time: 0.0326 memory: 18104 grad_norm: 6.3274 loss: 2.7957 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6953 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.1004 2023/02/03 01:07:10 - mmengine - INFO - Epoch(train) [217][1840/1879] lr: 7.4314e-03 eta: 10:30:00 time: 0.5167 data_time: 0.0362 memory: 18104 grad_norm: 6.2057 loss: 2.8006 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6338 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.1668 2023/02/03 01:07:21 - mmengine - INFO - Epoch(train) [217][1860/1879] lr: 7.4275e-03 eta: 10:29:50 time: 0.5255 data_time: 0.0386 memory: 18104 grad_norm: 5.9843 loss: 2.7683 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5406 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.2277 2023/02/03 01:07:30 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 01:07:30 - mmengine - INFO - Epoch(train) [217][1879/1879] lr: 7.4237e-03 eta: 10:29:39 time: 0.4891 data_time: 0.0310 memory: 18104 grad_norm: 6.3134 loss: 2.6959 top1_acc_0: 0.4286 top5_acc_0: 0.8571 loss_cls_0: 1.5274 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 1.1685 2023/02/03 01:07:45 - mmengine - INFO - Epoch(train) [218][ 20/1879] lr: 7.4198e-03 eta: 10:29:32 time: 0.7050 data_time: 0.2538 memory: 18104 grad_norm: 6.0899 loss: 2.7660 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.7215 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.0445 2023/02/03 01:07:54 - mmengine - INFO - Epoch(train) [218][ 40/1879] lr: 7.4158e-03 eta: 10:29:21 time: 0.4759 data_time: 0.0338 memory: 18104 grad_norm: 6.2138 loss: 2.6905 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5553 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.1352 2023/02/03 01:08:04 - mmengine - INFO - Epoch(train) [218][ 60/1879] lr: 7.4119e-03 eta: 10:29:10 time: 0.4894 data_time: 0.0385 memory: 18104 grad_norm: 6.0575 loss: 2.5946 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.5440 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 1.0506 2023/02/03 01:08:14 - mmengine - INFO - Epoch(train) [218][ 80/1879] lr: 7.4080e-03 eta: 10:29:00 time: 0.5046 data_time: 0.0408 memory: 18104 grad_norm: 6.0329 loss: 2.6496 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.5420 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.1076 2023/02/03 01:08:24 - mmengine - INFO - Epoch(train) [218][ 100/1879] lr: 7.4040e-03 eta: 10:28:49 time: 0.4900 data_time: 0.0365 memory: 18104 grad_norm: 6.1053 loss: 2.6293 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.5027 top1_acc_1: 0.8000 top5_acc_1: 0.8824 loss_cls_1: 1.1266 2023/02/03 01:08:34 - mmengine - INFO - Epoch(train) [218][ 120/1879] lr: 7.4001e-03 eta: 10:28:38 time: 0.4781 data_time: 0.0357 memory: 18104 grad_norm: 6.0138 loss: 2.8366 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.6720 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.1646 2023/02/03 01:08:44 - mmengine - INFO - Epoch(train) [218][ 140/1879] lr: 7.3961e-03 eta: 10:28:28 time: 0.5022 data_time: 0.0364 memory: 18104 grad_norm: 5.9332 loss: 2.5168 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.4688 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.0480 2023/02/03 01:08:54 - mmengine - INFO - Epoch(train) [218][ 160/1879] lr: 7.3922e-03 eta: 10:28:17 time: 0.5002 data_time: 0.0341 memory: 18104 grad_norm: 6.0035 loss: 2.5751 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.4825 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0926 2023/02/03 01:09:04 - mmengine - INFO - Epoch(train) [218][ 180/1879] lr: 7.3882e-03 eta: 10:28:06 time: 0.4898 data_time: 0.0362 memory: 18104 grad_norm: 6.0400 loss: 2.6612 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.5309 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 1.1303 2023/02/03 01:09:13 - mmengine - INFO - Epoch(train) [218][ 200/1879] lr: 7.3843e-03 eta: 10:27:56 time: 0.4853 data_time: 0.0383 memory: 18104 grad_norm: 6.0625 loss: 2.7047 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6553 top1_acc_1: 0.7294 top5_acc_1: 0.9529 loss_cls_1: 1.0494 2023/02/03 01:09:24 - mmengine - INFO - Epoch(train) [218][ 220/1879] lr: 7.3804e-03 eta: 10:27:45 time: 0.5109 data_time: 0.0427 memory: 18104 grad_norm: 6.0324 loss: 2.3998 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.2765 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.1233 2023/02/03 01:09:33 - mmengine - INFO - Epoch(train) [218][ 240/1879] lr: 7.3764e-03 eta: 10:27:34 time: 0.4888 data_time: 0.0348 memory: 18104 grad_norm: 5.9814 loss: 2.4296 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.3798 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.0498 2023/02/03 01:09:42 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 01:09:43 - mmengine - INFO - Epoch(train) [218][ 260/1879] lr: 7.3725e-03 eta: 10:27:24 time: 0.4878 data_time: 0.0364 memory: 18104 grad_norm: 6.0039 loss: 2.4994 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.4610 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.0384 2023/02/03 01:09:53 - mmengine - INFO - Epoch(train) [218][ 280/1879] lr: 7.3686e-03 eta: 10:27:13 time: 0.4908 data_time: 0.0329 memory: 18104 grad_norm: 6.1905 loss: 2.6148 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4573 top1_acc_1: 0.6824 top5_acc_1: 0.8118 loss_cls_1: 1.1575 2023/02/03 01:10:03 - mmengine - INFO - Epoch(train) [218][ 300/1879] lr: 7.3646e-03 eta: 10:27:03 time: 0.5164 data_time: 0.0423 memory: 18104 grad_norm: 5.9588 loss: 2.5654 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.5308 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.0346 2023/02/03 01:10:13 - mmengine - INFO - Epoch(train) [218][ 320/1879] lr: 7.3607e-03 eta: 10:26:52 time: 0.4986 data_time: 0.0322 memory: 18104 grad_norm: 6.0844 loss: 2.8694 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7166 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.1528 2023/02/03 01:10:24 - mmengine - INFO - Epoch(train) [218][ 340/1879] lr: 7.3568e-03 eta: 10:26:42 time: 0.5235 data_time: 0.0358 memory: 18104 grad_norm: 6.0300 loss: 2.5180 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3805 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.1375 2023/02/03 01:10:34 - mmengine - INFO - Epoch(train) [218][ 360/1879] lr: 7.3528e-03 eta: 10:26:31 time: 0.5010 data_time: 0.0432 memory: 18104 grad_norm: 6.1258 loss: 2.8010 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.6782 top1_acc_1: 0.6353 top5_acc_1: 0.9412 loss_cls_1: 1.1228 2023/02/03 01:10:44 - mmengine - INFO - Epoch(train) [218][ 380/1879] lr: 7.3489e-03 eta: 10:26:21 time: 0.5137 data_time: 0.0340 memory: 18104 grad_norm: 6.1347 loss: 2.6491 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.5181 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.1311 2023/02/03 01:10:54 - mmengine - INFO - Epoch(train) [218][ 400/1879] lr: 7.3450e-03 eta: 10:26:10 time: 0.5086 data_time: 0.0325 memory: 18104 grad_norm: 6.0591 loss: 2.6413 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.5298 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.1115 2023/02/03 01:11:05 - mmengine - INFO - Epoch(train) [218][ 420/1879] lr: 7.3410e-03 eta: 10:26:00 time: 0.5053 data_time: 0.0358 memory: 18104 grad_norm: 6.0243 loss: 2.7455 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5538 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.1918 2023/02/03 01:11:15 - mmengine - INFO - Epoch(train) [218][ 440/1879] lr: 7.3371e-03 eta: 10:25:50 time: 0.5084 data_time: 0.0415 memory: 18104 grad_norm: 6.2530 loss: 2.8206 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.7230 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.0976 2023/02/03 01:11:25 - mmengine - INFO - Epoch(train) [218][ 460/1879] lr: 7.3332e-03 eta: 10:25:39 time: 0.5151 data_time: 0.0358 memory: 18104 grad_norm: 6.1742 loss: 2.8446 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.6915 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.1531 2023/02/03 01:11:35 - mmengine - INFO - Epoch(train) [218][ 480/1879] lr: 7.3292e-03 eta: 10:25:29 time: 0.5084 data_time: 0.0342 memory: 18104 grad_norm: 6.1972 loss: 2.6113 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.4727 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.1387 2023/02/03 01:11:45 - mmengine - INFO - Epoch(train) [218][ 500/1879] lr: 7.3253e-03 eta: 10:25:18 time: 0.5102 data_time: 0.0428 memory: 18104 grad_norm: 6.2325 loss: 2.4850 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4206 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.0644 2023/02/03 01:11:55 - mmengine - INFO - Epoch(train) [218][ 520/1879] lr: 7.3214e-03 eta: 10:25:08 time: 0.4951 data_time: 0.0320 memory: 18104 grad_norm: 5.9946 loss: 2.5346 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.3480 top1_acc_1: 0.7529 top5_acc_1: 0.8588 loss_cls_1: 1.1865 2023/02/03 01:12:06 - mmengine - INFO - Epoch(train) [218][ 540/1879] lr: 7.3175e-03 eta: 10:24:57 time: 0.5199 data_time: 0.0356 memory: 18104 grad_norm: 6.1121 loss: 2.6189 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.5426 top1_acc_1: 0.7412 top5_acc_1: 0.8471 loss_cls_1: 1.0763 2023/02/03 01:12:16 - mmengine - INFO - Epoch(train) [218][ 560/1879] lr: 7.3136e-03 eta: 10:24:47 time: 0.4998 data_time: 0.0368 memory: 18104 grad_norm: 5.9642 loss: 2.5031 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3905 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.1126 2023/02/03 01:12:26 - mmengine - INFO - Epoch(train) [218][ 580/1879] lr: 7.3096e-03 eta: 10:24:37 time: 0.5106 data_time: 0.0415 memory: 18104 grad_norm: 6.2120 loss: 2.5674 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.3817 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.1857 2023/02/03 01:12:36 - mmengine - INFO - Epoch(train) [218][ 600/1879] lr: 7.3057e-03 eta: 10:24:26 time: 0.4992 data_time: 0.0356 memory: 18104 grad_norm: 6.1561 loss: 2.5581 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.4209 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.1372 2023/02/03 01:12:46 - mmengine - INFO - Epoch(train) [218][ 620/1879] lr: 7.3018e-03 eta: 10:24:16 time: 0.5104 data_time: 0.0335 memory: 18104 grad_norm: 6.0078 loss: 2.4834 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3789 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.1044 2023/02/03 01:12:56 - mmengine - INFO - Epoch(train) [218][ 640/1879] lr: 7.2979e-03 eta: 10:24:05 time: 0.4943 data_time: 0.0344 memory: 18104 grad_norm: 6.1457 loss: 2.5453 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4346 top1_acc_1: 0.6588 top5_acc_1: 0.7765 loss_cls_1: 1.1107 2023/02/03 01:13:06 - mmengine - INFO - Epoch(train) [218][ 660/1879] lr: 7.2940e-03 eta: 10:23:54 time: 0.4952 data_time: 0.0422 memory: 18104 grad_norm: 6.1063 loss: 2.4929 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3597 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.1331 2023/02/03 01:13:16 - mmengine - INFO - Epoch(train) [218][ 680/1879] lr: 7.2900e-03 eta: 10:23:44 time: 0.4960 data_time: 0.0383 memory: 18104 grad_norm: 6.2176 loss: 2.8350 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5966 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.2384 2023/02/03 01:13:26 - mmengine - INFO - Epoch(train) [218][ 700/1879] lr: 7.2861e-03 eta: 10:23:33 time: 0.5029 data_time: 0.0357 memory: 18104 grad_norm: 6.1892 loss: 2.7512 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.7030 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.0482 2023/02/03 01:13:36 - mmengine - INFO - Epoch(train) [218][ 720/1879] lr: 7.2822e-03 eta: 10:23:22 time: 0.4853 data_time: 0.0359 memory: 18104 grad_norm: 6.2020 loss: 2.8726 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7048 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.1678 2023/02/03 01:13:46 - mmengine - INFO - Epoch(train) [218][ 740/1879] lr: 7.2783e-03 eta: 10:23:12 time: 0.5078 data_time: 0.0399 memory: 18104 grad_norm: 6.0998 loss: 2.6981 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5948 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.1033 2023/02/03 01:13:56 - mmengine - INFO - Epoch(train) [218][ 760/1879] lr: 7.2744e-03 eta: 10:23:01 time: 0.4867 data_time: 0.0364 memory: 18104 grad_norm: 6.1023 loss: 2.5341 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4852 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 1.0489 2023/02/03 01:14:06 - mmengine - INFO - Epoch(train) [218][ 780/1879] lr: 7.2705e-03 eta: 10:22:50 time: 0.4919 data_time: 0.0342 memory: 18104 grad_norm: 6.3030 loss: 2.7438 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 1.6109 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.1328 2023/02/03 01:14:15 - mmengine - INFO - Epoch(train) [218][ 800/1879] lr: 7.2666e-03 eta: 10:22:39 time: 0.4810 data_time: 0.0347 memory: 18104 grad_norm: 6.2030 loss: 2.5009 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.3622 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.1387 2023/02/03 01:14:25 - mmengine - INFO - Epoch(train) [218][ 820/1879] lr: 7.2627e-03 eta: 10:22:29 time: 0.4935 data_time: 0.0401 memory: 18104 grad_norm: 6.1466 loss: 2.6847 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6253 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.0594 2023/02/03 01:14:35 - mmengine - INFO - Epoch(train) [218][ 840/1879] lr: 7.2587e-03 eta: 10:22:18 time: 0.4937 data_time: 0.0366 memory: 18104 grad_norm: 6.1627 loss: 2.5467 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4495 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.0972 2023/02/03 01:14:45 - mmengine - INFO - Epoch(train) [218][ 860/1879] lr: 7.2548e-03 eta: 10:22:07 time: 0.4867 data_time: 0.0342 memory: 18104 grad_norm: 6.1474 loss: 2.7719 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6128 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.1591 2023/02/03 01:14:55 - mmengine - INFO - Epoch(train) [218][ 880/1879] lr: 7.2509e-03 eta: 10:21:57 time: 0.4913 data_time: 0.0351 memory: 18104 grad_norm: 6.0244 loss: 2.6187 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.4706 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.1481 2023/02/03 01:15:05 - mmengine - INFO - Epoch(train) [218][ 900/1879] lr: 7.2470e-03 eta: 10:21:46 time: 0.4993 data_time: 0.0351 memory: 18104 grad_norm: 5.9824 loss: 2.6265 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4129 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.2136 2023/02/03 01:15:15 - mmengine - INFO - Epoch(train) [218][ 920/1879] lr: 7.2431e-03 eta: 10:21:35 time: 0.4978 data_time: 0.0363 memory: 18104 grad_norm: 6.0548 loss: 2.7270 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6046 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 1.1224 2023/02/03 01:15:25 - mmengine - INFO - Epoch(train) [218][ 940/1879] lr: 7.2392e-03 eta: 10:21:25 time: 0.4891 data_time: 0.0302 memory: 18104 grad_norm: 6.0668 loss: 2.6842 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5708 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.1135 2023/02/03 01:15:35 - mmengine - INFO - Epoch(train) [218][ 960/1879] lr: 7.2353e-03 eta: 10:21:14 time: 0.5154 data_time: 0.0363 memory: 18104 grad_norm: 6.1407 loss: 2.5493 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.4711 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.0782 2023/02/03 01:15:45 - mmengine - INFO - Epoch(train) [218][ 980/1879] lr: 7.2314e-03 eta: 10:21:04 time: 0.4992 data_time: 0.0299 memory: 18104 grad_norm: 6.2361 loss: 2.5825 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4441 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.1383 2023/02/03 01:15:55 - mmengine - INFO - Epoch(train) [218][1000/1879] lr: 7.2275e-03 eta: 10:20:53 time: 0.5083 data_time: 0.0408 memory: 18104 grad_norm: 6.0430 loss: 2.8204 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.7049 top1_acc_1: 0.8235 top5_acc_1: 0.8824 loss_cls_1: 1.1155 2023/02/03 01:16:05 - mmengine - INFO - Epoch(train) [218][1020/1879] lr: 7.2236e-03 eta: 10:20:43 time: 0.5042 data_time: 0.0363 memory: 18104 grad_norm: 6.0642 loss: 2.5764 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4322 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.1442 2023/02/03 01:16:15 - mmengine - INFO - Epoch(train) [218][1040/1879] lr: 7.2197e-03 eta: 10:20:32 time: 0.5006 data_time: 0.0340 memory: 18104 grad_norm: 6.0634 loss: 2.6656 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5677 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.0979 2023/02/03 01:16:25 - mmengine - INFO - Epoch(train) [218][1060/1879] lr: 7.2158e-03 eta: 10:20:22 time: 0.5104 data_time: 0.0304 memory: 18104 grad_norm: 6.1075 loss: 2.5044 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.3401 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.1643 2023/02/03 01:16:36 - mmengine - INFO - Epoch(train) [218][1080/1879] lr: 7.2119e-03 eta: 10:20:11 time: 0.5061 data_time: 0.0436 memory: 18104 grad_norm: 6.2069 loss: 2.6139 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.5332 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 1.0806 2023/02/03 01:16:46 - mmengine - INFO - Epoch(train) [218][1100/1879] lr: 7.2080e-03 eta: 10:20:01 time: 0.5051 data_time: 0.0308 memory: 18104 grad_norm: 6.2059 loss: 2.8593 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.7905 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 1.0688 2023/02/03 01:16:56 - mmengine - INFO - Epoch(train) [218][1120/1879] lr: 7.2041e-03 eta: 10:19:50 time: 0.5119 data_time: 0.0389 memory: 18104 grad_norm: 6.2003 loss: 2.5597 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4496 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.1101 2023/02/03 01:17:06 - mmengine - INFO - Epoch(train) [218][1140/1879] lr: 7.2002e-03 eta: 10:19:40 time: 0.5114 data_time: 0.0300 memory: 18104 grad_norm: 6.0019 loss: 2.8345 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7428 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.0917 2023/02/03 01:17:17 - mmengine - INFO - Epoch(train) [218][1160/1879] lr: 7.1963e-03 eta: 10:19:30 time: 0.5224 data_time: 0.0427 memory: 18104 grad_norm: 6.2152 loss: 2.7191 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5981 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.1210 2023/02/03 01:17:27 - mmengine - INFO - Epoch(train) [218][1180/1879] lr: 7.1924e-03 eta: 10:19:19 time: 0.5010 data_time: 0.0312 memory: 18104 grad_norm: 6.1509 loss: 2.7492 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.5975 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.1516 2023/02/03 01:17:37 - mmengine - INFO - Epoch(train) [218][1200/1879] lr: 7.1886e-03 eta: 10:19:09 time: 0.5168 data_time: 0.0353 memory: 18104 grad_norm: 6.0812 loss: 2.6609 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.5415 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 1.1194 2023/02/03 01:17:47 - mmengine - INFO - Epoch(train) [218][1220/1879] lr: 7.1847e-03 eta: 10:18:59 time: 0.5149 data_time: 0.0310 memory: 18104 grad_norm: 6.2507 loss: 2.6175 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.5104 top1_acc_1: 0.7882 top5_acc_1: 0.8706 loss_cls_1: 1.1071 2023/02/03 01:17:58 - mmengine - INFO - Epoch(train) [218][1240/1879] lr: 7.1808e-03 eta: 10:18:49 time: 0.5225 data_time: 0.0423 memory: 18104 grad_norm: 6.1141 loss: 2.5083 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.3772 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.1311 2023/02/03 01:18:07 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 01:18:08 - mmengine - INFO - Epoch(train) [218][1260/1879] lr: 7.1769e-03 eta: 10:18:38 time: 0.5192 data_time: 0.0306 memory: 18104 grad_norm: 6.2764 loss: 2.5654 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.4416 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 1.1239 2023/02/03 01:18:19 - mmengine - INFO - Epoch(train) [218][1280/1879] lr: 7.1730e-03 eta: 10:18:28 time: 0.5107 data_time: 0.0361 memory: 18104 grad_norm: 6.1115 loss: 2.4952 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4142 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.0809 2023/02/03 01:18:29 - mmengine - INFO - Epoch(train) [218][1300/1879] lr: 7.1691e-03 eta: 10:18:18 time: 0.5239 data_time: 0.0419 memory: 18104 grad_norm: 5.9893 loss: 2.8376 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6249 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.2127 2023/02/03 01:18:39 - mmengine - INFO - Epoch(train) [218][1320/1879] lr: 7.1652e-03 eta: 10:18:07 time: 0.5107 data_time: 0.0353 memory: 18104 grad_norm: 6.1004 loss: 2.8167 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5671 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.2496 2023/02/03 01:18:50 - mmengine - INFO - Epoch(train) [218][1340/1879] lr: 7.1613e-03 eta: 10:17:57 time: 0.5168 data_time: 0.0304 memory: 18104 grad_norm: 6.1354 loss: 2.4401 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3066 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.1335 2023/02/03 01:19:00 - mmengine - INFO - Epoch(train) [218][1360/1879] lr: 7.1575e-03 eta: 10:17:47 time: 0.5132 data_time: 0.0420 memory: 18104 grad_norm: 6.2469 loss: 2.6259 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4629 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.1630 2023/02/03 01:19:10 - mmengine - INFO - Epoch(train) [218][1380/1879] lr: 7.1536e-03 eta: 10:17:37 time: 0.5204 data_time: 0.0311 memory: 18104 grad_norm: 6.3039 loss: 2.6990 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.5837 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.1153 2023/02/03 01:19:21 - mmengine - INFO - Epoch(train) [218][1400/1879] lr: 7.1497e-03 eta: 10:17:26 time: 0.5188 data_time: 0.0388 memory: 18104 grad_norm: 6.1471 loss: 2.5875 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.5431 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.0444 2023/02/03 01:19:31 - mmengine - INFO - Epoch(train) [218][1420/1879] lr: 7.1458e-03 eta: 10:17:16 time: 0.5167 data_time: 0.0286 memory: 18104 grad_norm: 6.0926 loss: 2.3824 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.3025 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.0799 2023/02/03 01:19:41 - mmengine - INFO - Epoch(train) [218][1440/1879] lr: 7.1419e-03 eta: 10:17:06 time: 0.5130 data_time: 0.0396 memory: 18104 grad_norm: 6.3077 loss: 2.5775 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.3900 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.1875 2023/02/03 01:19:52 - mmengine - INFO - Epoch(train) [218][1460/1879] lr: 7.1381e-03 eta: 10:16:56 time: 0.5309 data_time: 0.0302 memory: 18104 grad_norm: 6.0657 loss: 2.8403 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.6962 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.1441 2023/02/03 01:20:02 - mmengine - INFO - Epoch(train) [218][1480/1879] lr: 7.1342e-03 eta: 10:16:45 time: 0.5025 data_time: 0.0366 memory: 18104 grad_norm: 6.0873 loss: 2.5476 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4805 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.0671 2023/02/03 01:20:13 - mmengine - INFO - Epoch(train) [218][1500/1879] lr: 7.1303e-03 eta: 10:16:35 time: 0.5304 data_time: 0.0292 memory: 18104 grad_norm: 6.1156 loss: 2.7421 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.6599 top1_acc_1: 0.8353 top5_acc_1: 0.9176 loss_cls_1: 1.0821 2023/02/03 01:20:23 - mmengine - INFO - Epoch(train) [218][1520/1879] lr: 7.1264e-03 eta: 10:16:25 time: 0.5173 data_time: 0.0362 memory: 18104 grad_norm: 6.1898 loss: 2.5519 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.4456 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 1.1063 2023/02/03 01:20:34 - mmengine - INFO - Epoch(train) [218][1540/1879] lr: 7.1226e-03 eta: 10:16:14 time: 0.5162 data_time: 0.0290 memory: 18104 grad_norm: 6.3404 loss: 2.7468 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.6733 top1_acc_1: 0.8706 top5_acc_1: 0.9647 loss_cls_1: 1.0735 2023/02/03 01:20:44 - mmengine - INFO - Epoch(train) [218][1560/1879] lr: 7.1187e-03 eta: 10:16:04 time: 0.5180 data_time: 0.0466 memory: 18104 grad_norm: 6.2319 loss: 2.6428 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.5362 top1_acc_1: 0.6824 top5_acc_1: 0.9412 loss_cls_1: 1.1066 2023/02/03 01:20:55 - mmengine - INFO - Epoch(train) [218][1580/1879] lr: 7.1148e-03 eta: 10:15:54 time: 0.5383 data_time: 0.0304 memory: 18104 grad_norm: 6.2410 loss: 2.6287 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5461 top1_acc_1: 0.7647 top5_acc_1: 0.9765 loss_cls_1: 1.0826 2023/02/03 01:21:05 - mmengine - INFO - Epoch(train) [218][1600/1879] lr: 7.1109e-03 eta: 10:15:44 time: 0.5048 data_time: 0.0343 memory: 18104 grad_norm: 6.1788 loss: 2.8529 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.7363 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 1.1167 2023/02/03 01:21:15 - mmengine - INFO - Epoch(train) [218][1620/1879] lr: 7.1071e-03 eta: 10:15:33 time: 0.5113 data_time: 0.0292 memory: 18104 grad_norm: 6.2570 loss: 2.7330 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.5752 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.1578 2023/02/03 01:21:25 - mmengine - INFO - Epoch(train) [218][1640/1879] lr: 7.1032e-03 eta: 10:15:23 time: 0.5147 data_time: 0.0440 memory: 18104 grad_norm: 6.1991 loss: 2.7526 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.6447 top1_acc_1: 0.7765 top5_acc_1: 0.8706 loss_cls_1: 1.1080 2023/02/03 01:21:36 - mmengine - INFO - Epoch(train) [218][1660/1879] lr: 7.0993e-03 eta: 10:15:13 time: 0.5250 data_time: 0.0304 memory: 18104 grad_norm: 6.0678 loss: 2.4267 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3184 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 1.1083 2023/02/03 01:21:46 - mmengine - INFO - Epoch(train) [218][1680/1879] lr: 7.0955e-03 eta: 10:15:03 time: 0.5130 data_time: 0.0474 memory: 18104 grad_norm: 6.2577 loss: 2.7213 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.5681 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.1532 2023/02/03 01:21:56 - mmengine - INFO - Epoch(train) [218][1700/1879] lr: 7.0916e-03 eta: 10:14:52 time: 0.5102 data_time: 0.0334 memory: 18104 grad_norm: 5.9864 loss: 2.4288 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.3588 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.0700 2023/02/03 01:22:07 - mmengine - INFO - Epoch(train) [218][1720/1879] lr: 7.0877e-03 eta: 10:14:42 time: 0.5333 data_time: 0.0321 memory: 18104 grad_norm: 6.3966 loss: 2.5577 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5069 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.0508 2023/02/03 01:22:17 - mmengine - INFO - Epoch(train) [218][1740/1879] lr: 7.0839e-03 eta: 10:14:32 time: 0.5106 data_time: 0.0348 memory: 18104 grad_norm: 6.1970 loss: 2.6866 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6044 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.0822 2023/02/03 01:22:27 - mmengine - INFO - Epoch(train) [218][1760/1879] lr: 7.0800e-03 eta: 10:14:21 time: 0.5021 data_time: 0.0393 memory: 18104 grad_norm: 6.0685 loss: 2.8455 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.7036 top1_acc_1: 0.7647 top5_acc_1: 0.8588 loss_cls_1: 1.1419 2023/02/03 01:22:38 - mmengine - INFO - Epoch(train) [218][1780/1879] lr: 7.0761e-03 eta: 10:14:11 time: 0.5197 data_time: 0.0364 memory: 18104 grad_norm: 6.2786 loss: 2.6844 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5448 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.1396 2023/02/03 01:22:48 - mmengine - INFO - Epoch(train) [218][1800/1879] lr: 7.0723e-03 eta: 10:14:01 time: 0.5100 data_time: 0.0322 memory: 18104 grad_norm: 6.1691 loss: 2.6368 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.5057 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.1311 2023/02/03 01:22:58 - mmengine - INFO - Epoch(train) [218][1820/1879] lr: 7.0684e-03 eta: 10:13:50 time: 0.5128 data_time: 0.0402 memory: 18104 grad_norm: 6.2237 loss: 2.8604 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7553 top1_acc_1: 0.8000 top5_acc_1: 0.8824 loss_cls_1: 1.1051 2023/02/03 01:23:08 - mmengine - INFO - Epoch(train) [218][1840/1879] lr: 7.0646e-03 eta: 10:13:40 time: 0.4977 data_time: 0.0320 memory: 18104 grad_norm: 6.1384 loss: 2.4624 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.3054 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.1569 2023/02/03 01:23:19 - mmengine - INFO - Epoch(train) [218][1860/1879] lr: 7.0607e-03 eta: 10:13:30 time: 0.5305 data_time: 0.0351 memory: 18104 grad_norm: 6.2406 loss: 2.5024 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.4754 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 1.0270 2023/02/03 01:23:28 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 01:23:28 - mmengine - INFO - Epoch(train) [218][1879/1879] lr: 7.0570e-03 eta: 10:13:19 time: 0.4849 data_time: 0.0309 memory: 18104 grad_norm: 6.4410 loss: 2.4230 top1_acc_0: 0.7143 top5_acc_0: 0.8571 loss_cls_0: 1.3408 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.0822 2023/02/03 01:23:43 - mmengine - INFO - Epoch(train) [219][ 20/1879] lr: 7.0532e-03 eta: 10:13:12 time: 0.7207 data_time: 0.2586 memory: 18104 grad_norm: 6.0815 loss: 2.5581 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.4659 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 1.0922 2023/02/03 01:23:53 - mmengine - INFO - Epoch(train) [219][ 40/1879] lr: 7.0493e-03 eta: 10:13:02 time: 0.4819 data_time: 0.0308 memory: 18104 grad_norm: 6.1351 loss: 2.6645 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6662 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 0.9982 2023/02/03 01:24:03 - mmengine - INFO - Epoch(train) [219][ 60/1879] lr: 7.0455e-03 eta: 10:12:51 time: 0.4956 data_time: 0.0371 memory: 18104 grad_norm: 6.0941 loss: 2.7188 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6076 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.1112 2023/02/03 01:24:13 - mmengine - INFO - Epoch(train) [219][ 80/1879] lr: 7.0416e-03 eta: 10:12:41 time: 0.5293 data_time: 0.0297 memory: 18104 grad_norm: 6.2730 loss: 2.6633 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5858 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.0774 2023/02/03 01:24:23 - mmengine - INFO - Epoch(train) [219][ 100/1879] lr: 7.0378e-03 eta: 10:12:30 time: 0.4901 data_time: 0.0396 memory: 18104 grad_norm: 6.2360 loss: 2.4578 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.3659 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.0919 2023/02/03 01:24:33 - mmengine - INFO - Epoch(train) [219][ 120/1879] lr: 7.0339e-03 eta: 10:12:19 time: 0.4883 data_time: 0.0316 memory: 18104 grad_norm: 6.0827 loss: 2.4049 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3298 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.0751 2023/02/03 01:24:43 - mmengine - INFO - Epoch(train) [219][ 140/1879] lr: 7.0301e-03 eta: 10:12:09 time: 0.5018 data_time: 0.0457 memory: 18104 grad_norm: 6.1470 loss: 2.6428 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.4875 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.1553 2023/02/03 01:24:53 - mmengine - INFO - Epoch(train) [219][ 160/1879] lr: 7.0262e-03 eta: 10:11:58 time: 0.5136 data_time: 0.0294 memory: 18104 grad_norm: 6.1224 loss: 2.6788 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5133 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.1655 2023/02/03 01:25:03 - mmengine - INFO - Epoch(train) [219][ 180/1879] lr: 7.0224e-03 eta: 10:11:48 time: 0.4882 data_time: 0.0352 memory: 18104 grad_norm: 6.2509 loss: 2.6297 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.5728 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0569 2023/02/03 01:25:13 - mmengine - INFO - Epoch(train) [219][ 200/1879] lr: 7.0185e-03 eta: 10:11:37 time: 0.4870 data_time: 0.0317 memory: 18104 grad_norm: 6.1640 loss: 2.7780 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.6910 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.0870 2023/02/03 01:25:23 - mmengine - INFO - Epoch(train) [219][ 220/1879] lr: 7.0147e-03 eta: 10:11:27 time: 0.5169 data_time: 0.0415 memory: 18104 grad_norm: 6.2822 loss: 2.5689 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3992 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.1697 2023/02/03 01:25:33 - mmengine - INFO - Epoch(train) [219][ 240/1879] lr: 7.0108e-03 eta: 10:11:16 time: 0.4979 data_time: 0.0296 memory: 18104 grad_norm: 6.1672 loss: 2.7593 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6206 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.1387 2023/02/03 01:25:43 - mmengine - INFO - Epoch(train) [219][ 260/1879] lr: 7.0070e-03 eta: 10:11:05 time: 0.4955 data_time: 0.0366 memory: 18104 grad_norm: 6.1923 loss: 2.6419 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.5798 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.0620 2023/02/03 01:25:53 - mmengine - INFO - Epoch(train) [219][ 280/1879] lr: 7.0031e-03 eta: 10:10:55 time: 0.4985 data_time: 0.0347 memory: 18104 grad_norm: 6.3154 loss: 2.6709 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.5816 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.0894 2023/02/03 01:26:04 - mmengine - INFO - Epoch(train) [219][ 300/1879] lr: 6.9993e-03 eta: 10:10:45 time: 0.5188 data_time: 0.0366 memory: 18104 grad_norm: 6.1000 loss: 2.7406 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.6030 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.1376 2023/02/03 01:26:14 - mmengine - INFO - Epoch(train) [219][ 320/1879] lr: 6.9954e-03 eta: 10:10:34 time: 0.4977 data_time: 0.0310 memory: 18104 grad_norm: 6.1085 loss: 2.5333 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3726 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.1607 2023/02/03 01:26:23 - mmengine - INFO - Epoch(train) [219][ 340/1879] lr: 6.9916e-03 eta: 10:10:23 time: 0.4926 data_time: 0.0452 memory: 18104 grad_norm: 6.3587 loss: 2.8433 top1_acc_0: 0.2500 top5_acc_0: 0.8125 loss_cls_0: 1.6805 top1_acc_1: 0.6000 top5_acc_1: 0.8118 loss_cls_1: 1.1628 2023/02/03 01:26:34 - mmengine - INFO - Epoch(train) [219][ 360/1879] lr: 6.9878e-03 eta: 10:10:13 time: 0.5032 data_time: 0.0319 memory: 18104 grad_norm: 6.1408 loss: 2.5752 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4655 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 1.1097 2023/02/03 01:26:43 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 01:26:44 - mmengine - INFO - Epoch(train) [219][ 380/1879] lr: 6.9839e-03 eta: 10:10:02 time: 0.5044 data_time: 0.0367 memory: 18104 grad_norm: 6.3482 loss: 2.7278 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5663 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.1615 2023/02/03 01:26:53 - mmengine - INFO - Epoch(train) [219][ 400/1879] lr: 6.9801e-03 eta: 10:09:52 time: 0.4910 data_time: 0.0320 memory: 18104 grad_norm: 6.1545 loss: 2.6365 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.5467 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.0899 2023/02/03 01:27:04 - mmengine - INFO - Epoch(train) [219][ 420/1879] lr: 6.9762e-03 eta: 10:09:41 time: 0.5020 data_time: 0.0351 memory: 18104 grad_norm: 6.2105 loss: 2.6978 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.5343 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.1636 2023/02/03 01:27:14 - mmengine - INFO - Epoch(train) [219][ 440/1879] lr: 6.9724e-03 eta: 10:09:31 time: 0.5074 data_time: 0.0310 memory: 18104 grad_norm: 6.2753 loss: 2.6437 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.5833 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.0604 2023/02/03 01:27:24 - mmengine - INFO - Epoch(train) [219][ 460/1879] lr: 6.9686e-03 eta: 10:09:20 time: 0.5027 data_time: 0.0383 memory: 18104 grad_norm: 5.9761 loss: 2.5287 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4826 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 1.0461 2023/02/03 01:27:34 - mmengine - INFO - Epoch(train) [219][ 480/1879] lr: 6.9647e-03 eta: 10:09:10 time: 0.5159 data_time: 0.0372 memory: 18104 grad_norm: 6.1117 loss: 2.6925 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.5401 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.1524 2023/02/03 01:27:44 - mmengine - INFO - Epoch(train) [219][ 500/1879] lr: 6.9609e-03 eta: 10:08:59 time: 0.5045 data_time: 0.0377 memory: 18104 grad_norm: 6.2478 loss: 2.6595 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.5808 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.0787 2023/02/03 01:27:54 - mmengine - INFO - Epoch(train) [219][ 520/1879] lr: 6.9571e-03 eta: 10:08:49 time: 0.5071 data_time: 0.0301 memory: 18104 grad_norm: 6.1827 loss: 2.7659 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6101 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.1558 2023/02/03 01:28:05 - mmengine - INFO - Epoch(train) [219][ 540/1879] lr: 6.9532e-03 eta: 10:08:39 time: 0.5098 data_time: 0.0374 memory: 18104 grad_norm: 6.1677 loss: 2.8475 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6816 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.1659 2023/02/03 01:28:15 - mmengine - INFO - Epoch(train) [219][ 560/1879] lr: 6.9494e-03 eta: 10:08:28 time: 0.5134 data_time: 0.0385 memory: 18104 grad_norm: 6.1108 loss: 2.5370 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.4971 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.0399 2023/02/03 01:28:25 - mmengine - INFO - Epoch(train) [219][ 580/1879] lr: 6.9456e-03 eta: 10:08:18 time: 0.5107 data_time: 0.0369 memory: 18104 grad_norm: 6.2521 loss: 2.5711 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.4508 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.1204 2023/02/03 01:28:35 - mmengine - INFO - Epoch(train) [219][ 600/1879] lr: 6.9417e-03 eta: 10:08:07 time: 0.5074 data_time: 0.0315 memory: 18104 grad_norm: 6.2745 loss: 2.8059 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.6879 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.1179 2023/02/03 01:28:46 - mmengine - INFO - Epoch(train) [219][ 620/1879] lr: 6.9379e-03 eta: 10:07:57 time: 0.5188 data_time: 0.0347 memory: 18104 grad_norm: 6.1800 loss: 2.3969 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.3461 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 1.0508 2023/02/03 01:28:56 - mmengine - INFO - Epoch(train) [219][ 640/1879] lr: 6.9341e-03 eta: 10:07:47 time: 0.5237 data_time: 0.0301 memory: 18104 grad_norm: 6.1535 loss: 2.6337 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4586 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.1751 2023/02/03 01:29:06 - mmengine - INFO - Epoch(train) [219][ 660/1879] lr: 6.9303e-03 eta: 10:07:37 time: 0.5070 data_time: 0.0387 memory: 18104 grad_norm: 6.1947 loss: 2.6233 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.5678 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.0554 2023/02/03 01:29:17 - mmengine - INFO - Epoch(train) [219][ 680/1879] lr: 6.9264e-03 eta: 10:07:26 time: 0.5171 data_time: 0.0307 memory: 18104 grad_norm: 6.3191 loss: 2.9553 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.7906 top1_acc_1: 0.8118 top5_acc_1: 0.8941 loss_cls_1: 1.1647 2023/02/03 01:29:27 - mmengine - INFO - Epoch(train) [219][ 700/1879] lr: 6.9226e-03 eta: 10:07:16 time: 0.4996 data_time: 0.0365 memory: 18104 grad_norm: 6.2965 loss: 2.6234 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.4983 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.1252 2023/02/03 01:29:37 - mmengine - INFO - Epoch(train) [219][ 720/1879] lr: 6.9188e-03 eta: 10:07:05 time: 0.5148 data_time: 0.0319 memory: 18104 grad_norm: 6.2579 loss: 2.2880 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.2662 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.0218 2023/02/03 01:29:47 - mmengine - INFO - Epoch(train) [219][ 740/1879] lr: 6.9150e-03 eta: 10:06:55 time: 0.5070 data_time: 0.0400 memory: 18104 grad_norm: 6.1911 loss: 2.6218 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.4617 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.1601 2023/02/03 01:29:57 - mmengine - INFO - Epoch(train) [219][ 760/1879] lr: 6.9111e-03 eta: 10:06:45 time: 0.5107 data_time: 0.0354 memory: 18104 grad_norm: 6.1829 loss: 2.3733 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3018 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.0715 2023/02/03 01:30:08 - mmengine - INFO - Epoch(train) [219][ 780/1879] lr: 6.9073e-03 eta: 10:06:34 time: 0.5104 data_time: 0.0352 memory: 18104 grad_norm: 6.2951 loss: 2.7251 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.6229 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.1022 2023/02/03 01:30:18 - mmengine - INFO - Epoch(train) [219][ 800/1879] lr: 6.9035e-03 eta: 10:06:24 time: 0.5220 data_time: 0.0330 memory: 18104 grad_norm: 6.2326 loss: 2.4650 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.3704 top1_acc_1: 0.7882 top5_acc_1: 0.9765 loss_cls_1: 1.0946 2023/02/03 01:30:28 - mmengine - INFO - Epoch(train) [219][ 820/1879] lr: 6.8997e-03 eta: 10:06:14 time: 0.5098 data_time: 0.0365 memory: 18104 grad_norm: 6.0624 loss: 2.6933 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.6100 top1_acc_1: 0.6824 top5_acc_1: 0.9412 loss_cls_1: 1.0833 2023/02/03 01:30:39 - mmengine - INFO - Epoch(train) [219][ 840/1879] lr: 6.8959e-03 eta: 10:06:04 time: 0.5366 data_time: 0.0394 memory: 18104 grad_norm: 6.1418 loss: 2.5490 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.4750 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 1.0740 2023/02/03 01:30:49 - mmengine - INFO - Epoch(train) [219][ 860/1879] lr: 6.8921e-03 eta: 10:05:53 time: 0.5109 data_time: 0.0373 memory: 18104 grad_norm: 6.0883 loss: 2.7505 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.5739 top1_acc_1: 0.6941 top5_acc_1: 0.8118 loss_cls_1: 1.1766 2023/02/03 01:31:00 - mmengine - INFO - Epoch(train) [219][ 880/1879] lr: 6.8882e-03 eta: 10:05:43 time: 0.5173 data_time: 0.0313 memory: 18104 grad_norm: 6.2141 loss: 2.4840 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3785 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.1055 2023/02/03 01:31:10 - mmengine - INFO - Epoch(train) [219][ 900/1879] lr: 6.8844e-03 eta: 10:05:33 time: 0.5181 data_time: 0.0423 memory: 18104 grad_norm: 6.2403 loss: 2.6827 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5775 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.1052 2023/02/03 01:31:21 - mmengine - INFO - Epoch(train) [219][ 920/1879] lr: 6.8806e-03 eta: 10:05:22 time: 0.5206 data_time: 0.0330 memory: 18104 grad_norm: 6.1376 loss: 2.6605 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5993 top1_acc_1: 0.6941 top5_acc_1: 0.9412 loss_cls_1: 1.0612 2023/02/03 01:31:31 - mmengine - INFO - Epoch(train) [219][ 940/1879] lr: 6.8768e-03 eta: 10:05:12 time: 0.5220 data_time: 0.0368 memory: 18104 grad_norm: 6.3054 loss: 2.7100 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6517 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.0583 2023/02/03 01:31:42 - mmengine - INFO - Epoch(train) [219][ 960/1879] lr: 6.8730e-03 eta: 10:05:02 time: 0.5270 data_time: 0.0331 memory: 18104 grad_norm: 6.2268 loss: 2.6336 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.5018 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.1318 2023/02/03 01:31:52 - mmengine - INFO - Epoch(train) [219][ 980/1879] lr: 6.8692e-03 eta: 10:04:52 time: 0.5175 data_time: 0.0429 memory: 18104 grad_norm: 6.2721 loss: 2.6074 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.5346 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.0728 2023/02/03 01:32:03 - mmengine - INFO - Epoch(train) [219][1000/1879] lr: 6.8654e-03 eta: 10:04:42 time: 0.5263 data_time: 0.0308 memory: 18104 grad_norm: 6.1181 loss: 2.5440 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4093 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.1346 2023/02/03 01:32:13 - mmengine - INFO - Epoch(train) [219][1020/1879] lr: 6.8616e-03 eta: 10:04:31 time: 0.5051 data_time: 0.0364 memory: 18104 grad_norm: 6.3002 loss: 2.4564 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3312 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.1253 2023/02/03 01:32:23 - mmengine - INFO - Epoch(train) [219][1040/1879] lr: 6.8578e-03 eta: 10:04:21 time: 0.5213 data_time: 0.0305 memory: 18104 grad_norm: 6.1628 loss: 2.6046 top1_acc_0: 0.3125 top5_acc_0: 0.6250 loss_cls_0: 1.4872 top1_acc_1: 0.6000 top5_acc_1: 0.8706 loss_cls_1: 1.1174 2023/02/03 01:32:34 - mmengine - INFO - Epoch(train) [219][1060/1879] lr: 6.8539e-03 eta: 10:04:11 time: 0.5217 data_time: 0.0451 memory: 18104 grad_norm: 6.4026 loss: 2.4924 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3977 top1_acc_1: 0.7647 top5_acc_1: 0.8588 loss_cls_1: 1.0947 2023/02/03 01:32:44 - mmengine - INFO - Epoch(train) [219][1080/1879] lr: 6.8501e-03 eta: 10:04:01 time: 0.5269 data_time: 0.0310 memory: 18104 grad_norm: 6.3836 loss: 2.5661 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4266 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.1395 2023/02/03 01:32:54 - mmengine - INFO - Epoch(train) [219][1100/1879] lr: 6.8463e-03 eta: 10:03:50 time: 0.5065 data_time: 0.0374 memory: 18104 grad_norm: 6.3015 loss: 2.4480 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3649 top1_acc_1: 0.7765 top5_acc_1: 0.9647 loss_cls_1: 1.0832 2023/02/03 01:33:05 - mmengine - INFO - Epoch(train) [219][1120/1879] lr: 6.8425e-03 eta: 10:03:40 time: 0.5278 data_time: 0.0322 memory: 18104 grad_norm: 6.2525 loss: 2.6306 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4915 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.1391 2023/02/03 01:33:15 - mmengine - INFO - Epoch(train) [219][1140/1879] lr: 6.8387e-03 eta: 10:03:30 time: 0.5235 data_time: 0.0356 memory: 18104 grad_norm: 6.3376 loss: 2.4785 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.3932 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 1.0853 2023/02/03 01:33:26 - mmengine - INFO - Epoch(train) [219][1160/1879] lr: 6.8349e-03 eta: 10:03:20 time: 0.5210 data_time: 0.0310 memory: 18104 grad_norm: 6.2181 loss: 2.5001 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3651 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.1350 2023/02/03 01:33:36 - mmengine - INFO - Epoch(train) [219][1180/1879] lr: 6.8311e-03 eta: 10:03:09 time: 0.5099 data_time: 0.0372 memory: 18104 grad_norm: 6.1550 loss: 2.4491 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3737 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.0754 2023/02/03 01:33:46 - mmengine - INFO - Epoch(train) [219][1200/1879] lr: 6.8273e-03 eta: 10:02:59 time: 0.5214 data_time: 0.0321 memory: 18104 grad_norm: 6.2480 loss: 2.9074 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.7863 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.1210 2023/02/03 01:33:57 - mmengine - INFO - Epoch(train) [219][1220/1879] lr: 6.8235e-03 eta: 10:02:49 time: 0.5225 data_time: 0.0357 memory: 18104 grad_norm: 6.4562 loss: 2.5499 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.4360 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.1138 2023/02/03 01:34:07 - mmengine - INFO - Epoch(train) [219][1240/1879] lr: 6.8197e-03 eta: 10:02:39 time: 0.5159 data_time: 0.0312 memory: 18104 grad_norm: 6.3536 loss: 2.5637 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5073 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0565 2023/02/03 01:34:18 - mmengine - INFO - Epoch(train) [219][1260/1879] lr: 6.8159e-03 eta: 10:02:28 time: 0.5205 data_time: 0.0454 memory: 18104 grad_norm: 6.2564 loss: 2.5686 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4123 top1_acc_1: 0.7294 top5_acc_1: 0.9647 loss_cls_1: 1.1563 2023/02/03 01:34:28 - mmengine - INFO - Epoch(train) [219][1280/1879] lr: 6.8121e-03 eta: 10:02:18 time: 0.5253 data_time: 0.0319 memory: 18104 grad_norm: 6.2960 loss: 2.5994 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5191 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.0803 2023/02/03 01:34:38 - mmengine - INFO - Epoch(train) [219][1300/1879] lr: 6.8083e-03 eta: 10:02:08 time: 0.5079 data_time: 0.0380 memory: 18104 grad_norm: 6.1579 loss: 2.7068 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6434 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.0634 2023/02/03 01:36:25 - mmengine - INFO - Epoch(train) [219][1320/1879] lr: 6.8046e-03 eta: 10:03:14 time: 5.3168 data_time: 0.0381 memory: 18104 grad_norm: 6.3027 loss: 2.6544 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5189 top1_acc_1: 0.7412 top5_acc_1: 0.8471 loss_cls_1: 1.1355 2023/02/03 01:36:35 - mmengine - INFO - Epoch(train) [219][1340/1879] lr: 6.8008e-03 eta: 10:03:04 time: 0.5220 data_time: 0.0378 memory: 18104 grad_norm: 6.3401 loss: 2.7494 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.5704 top1_acc_1: 0.7882 top5_acc_1: 0.8588 loss_cls_1: 1.1790 2023/02/03 01:36:46 - mmengine - INFO - Epoch(train) [219][1360/1879] lr: 6.7970e-03 eta: 10:02:54 time: 0.5217 data_time: 0.0310 memory: 18104 grad_norm: 6.1841 loss: 2.6403 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5123 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.1279 2023/02/03 01:36:55 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 01:36:56 - mmengine - INFO - Epoch(train) [219][1380/1879] lr: 6.7932e-03 eta: 10:02:43 time: 0.5026 data_time: 0.0368 memory: 18104 grad_norm: 6.3699 loss: 2.4633 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.3433 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 1.1201 2023/02/03 01:37:06 - mmengine - INFO - Epoch(train) [219][1400/1879] lr: 6.7894e-03 eta: 10:02:33 time: 0.5198 data_time: 0.0373 memory: 18104 grad_norm: 6.1522 loss: 2.5038 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3721 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 1.1317 2023/02/03 01:37:17 - mmengine - INFO - Epoch(train) [219][1420/1879] lr: 6.7856e-03 eta: 10:02:23 time: 0.5233 data_time: 0.0349 memory: 18104 grad_norm: 6.2113 loss: 2.5302 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4484 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 1.0818 2023/02/03 01:37:27 - mmengine - INFO - Epoch(train) [219][1440/1879] lr: 6.7818e-03 eta: 10:02:12 time: 0.5018 data_time: 0.0322 memory: 18104 grad_norm: 6.2573 loss: 2.4499 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.3775 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 1.0724 2023/02/03 01:37:37 - mmengine - INFO - Epoch(train) [219][1460/1879] lr: 6.7780e-03 eta: 10:02:02 time: 0.5124 data_time: 0.0521 memory: 18104 grad_norm: 6.1508 loss: 2.5494 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.4841 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0653 2023/02/03 01:37:48 - mmengine - INFO - Epoch(train) [219][1480/1879] lr: 6.7742e-03 eta: 10:01:52 time: 0.5420 data_time: 0.0311 memory: 18104 grad_norm: 6.3240 loss: 2.6766 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5671 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.1095 2023/02/03 01:37:58 - mmengine - INFO - Epoch(train) [219][1500/1879] lr: 6.7705e-03 eta: 10:01:41 time: 0.4981 data_time: 0.0372 memory: 18104 grad_norm: 6.3146 loss: 2.7947 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.5577 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 1.2371 2023/02/03 01:38:08 - mmengine - INFO - Epoch(train) [219][1520/1879] lr: 6.7667e-03 eta: 10:01:31 time: 0.5248 data_time: 0.0348 memory: 18104 grad_norm: 6.1742 loss: 2.5065 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3684 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.1380 2023/02/03 01:38:19 - mmengine - INFO - Epoch(train) [219][1540/1879] lr: 6.7629e-03 eta: 10:01:21 time: 0.5098 data_time: 0.0415 memory: 18104 grad_norm: 6.3587 loss: 2.8004 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6630 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.1374 2023/02/03 01:38:29 - mmengine - INFO - Epoch(train) [219][1560/1879] lr: 6.7591e-03 eta: 10:01:10 time: 0.5248 data_time: 0.0297 memory: 18104 grad_norm: 6.1971 loss: 2.4196 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2736 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.1461 2023/02/03 01:38:39 - mmengine - INFO - Epoch(train) [219][1580/1879] lr: 6.7553e-03 eta: 10:01:00 time: 0.5064 data_time: 0.0350 memory: 18104 grad_norm: 6.2044 loss: 2.6213 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.5279 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.0934 2023/02/03 01:38:50 - mmengine - INFO - Epoch(train) [219][1600/1879] lr: 6.7515e-03 eta: 10:00:50 time: 0.5215 data_time: 0.0365 memory: 18104 grad_norm: 6.2263 loss: 2.6045 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.5376 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.0669 2023/02/03 01:39:00 - mmengine - INFO - Epoch(train) [219][1620/1879] lr: 6.7478e-03 eta: 10:00:39 time: 0.5221 data_time: 0.0374 memory: 18104 grad_norm: 6.2497 loss: 2.4641 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.3573 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 1.1067 2023/02/03 01:39:10 - mmengine - INFO - Epoch(train) [219][1640/1879] lr: 6.7440e-03 eta: 10:00:29 time: 0.5050 data_time: 0.0300 memory: 18104 grad_norm: 6.1696 loss: 2.5335 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4239 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.1096 2023/02/03 01:39:21 - mmengine - INFO - Epoch(train) [219][1660/1879] lr: 6.7402e-03 eta: 10:00:19 time: 0.5151 data_time: 0.0415 memory: 18104 grad_norm: 6.2776 loss: 2.8240 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.6828 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.1412 2023/02/03 01:39:31 - mmengine - INFO - Epoch(train) [219][1680/1879] lr: 6.7364e-03 eta: 10:00:09 time: 0.5365 data_time: 0.0301 memory: 18104 grad_norm: 6.2749 loss: 2.6240 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5374 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.0866 2023/02/03 01:39:42 - mmengine - INFO - Epoch(train) [219][1700/1879] lr: 6.7327e-03 eta: 9:59:58 time: 0.5069 data_time: 0.0344 memory: 18104 grad_norm: 6.3127 loss: 2.4758 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3510 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.1249 2023/02/03 01:39:52 - mmengine - INFO - Epoch(train) [219][1720/1879] lr: 6.7289e-03 eta: 9:59:48 time: 0.5078 data_time: 0.0302 memory: 18104 grad_norm: 6.3646 loss: 2.7822 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.6878 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.0944 2023/02/03 01:40:03 - mmengine - INFO - Epoch(train) [219][1740/1879] lr: 6.7251e-03 eta: 9:59:38 time: 0.5612 data_time: 0.0417 memory: 18104 grad_norm: 6.4672 loss: 2.8158 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.7355 top1_acc_1: 0.8000 top5_acc_1: 0.8824 loss_cls_1: 1.0803 2023/02/03 01:40:13 - mmengine - INFO - Epoch(train) [219][1760/1879] lr: 6.7213e-03 eta: 9:59:28 time: 0.5228 data_time: 0.0291 memory: 18104 grad_norm: 6.3581 loss: 2.6415 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.5026 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.1389 2023/02/03 01:40:24 - mmengine - INFO - Epoch(train) [219][1780/1879] lr: 6.7176e-03 eta: 9:59:17 time: 0.5107 data_time: 0.0395 memory: 18104 grad_norm: 6.3805 loss: 2.8199 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.6475 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 1.1724 2023/02/03 01:40:34 - mmengine - INFO - Epoch(train) [219][1800/1879] lr: 6.7138e-03 eta: 9:59:07 time: 0.5153 data_time: 0.0391 memory: 18104 grad_norm: 6.3251 loss: 2.6108 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5204 top1_acc_1: 0.6824 top5_acc_1: 0.9294 loss_cls_1: 1.0904 2023/02/03 01:40:44 - mmengine - INFO - Epoch(train) [219][1820/1879] lr: 6.7100e-03 eta: 9:58:57 time: 0.5173 data_time: 0.0373 memory: 18104 grad_norm: 6.3280 loss: 2.5187 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.3783 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.1404 2023/02/03 01:40:55 - mmengine - INFO - Epoch(train) [219][1840/1879] lr: 6.7063e-03 eta: 9:58:46 time: 0.5067 data_time: 0.0312 memory: 18104 grad_norm: 6.2243 loss: 2.7039 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.5408 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 1.1630 2023/02/03 01:41:05 - mmengine - INFO - Epoch(train) [219][1860/1879] lr: 6.7025e-03 eta: 9:58:36 time: 0.5179 data_time: 0.0457 memory: 18104 grad_norm: 6.1969 loss: 2.5689 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.3990 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 1.1698 2023/02/03 01:41:14 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 01:41:14 - mmengine - INFO - Epoch(train) [219][1879/1879] lr: 6.6989e-03 eta: 9:58:26 time: 0.4933 data_time: 0.0280 memory: 18104 grad_norm: 6.3471 loss: 2.5779 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 1.4612 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.1167 2023/02/03 01:41:29 - mmengine - INFO - Epoch(train) [220][ 20/1879] lr: 6.6952e-03 eta: 9:58:19 time: 0.7224 data_time: 0.2519 memory: 18104 grad_norm: 6.3780 loss: 2.6049 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5838 top1_acc_1: 0.8118 top5_acc_1: 0.8941 loss_cls_1: 1.0210 2023/02/03 01:41:39 - mmengine - INFO - Epoch(train) [220][ 40/1879] lr: 6.6914e-03 eta: 9:58:08 time: 0.4772 data_time: 0.0324 memory: 18104 grad_norm: 6.0897 loss: 2.3943 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3368 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.0575 2023/02/03 01:41:49 - mmengine - INFO - Epoch(train) [220][ 60/1879] lr: 6.6876e-03 eta: 9:57:57 time: 0.4896 data_time: 0.0358 memory: 18104 grad_norm: 6.0123 loss: 2.3704 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2204 top1_acc_1: 0.7882 top5_acc_1: 0.8706 loss_cls_1: 1.1500 2023/02/03 01:41:59 - mmengine - INFO - Epoch(train) [220][ 80/1879] lr: 6.6839e-03 eta: 9:57:47 time: 0.5186 data_time: 0.0377 memory: 18104 grad_norm: 6.2059 loss: 2.6298 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.5067 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 1.1231 2023/02/03 01:42:09 - mmengine - INFO - Epoch(train) [220][ 100/1879] lr: 6.6801e-03 eta: 9:57:36 time: 0.4872 data_time: 0.0391 memory: 18104 grad_norm: 6.2837 loss: 2.3914 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3036 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.0878 2023/02/03 01:42:19 - mmengine - INFO - Epoch(train) [220][ 120/1879] lr: 6.6763e-03 eta: 9:57:25 time: 0.4830 data_time: 0.0344 memory: 18104 grad_norm: 6.2181 loss: 2.5321 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.4463 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.0858 2023/02/03 01:42:29 - mmengine - INFO - Epoch(train) [220][ 140/1879] lr: 6.6726e-03 eta: 9:57:14 time: 0.5065 data_time: 0.0390 memory: 18104 grad_norm: 6.2589 loss: 2.6295 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4710 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.1585 2023/02/03 01:42:39 - mmengine - INFO - Epoch(train) [220][ 160/1879] lr: 6.6688e-03 eta: 9:57:04 time: 0.4966 data_time: 0.0402 memory: 18104 grad_norm: 6.2314 loss: 2.4531 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.4479 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0052 2023/02/03 01:42:49 - mmengine - INFO - Epoch(train) [220][ 180/1879] lr: 6.6651e-03 eta: 9:56:53 time: 0.4875 data_time: 0.0388 memory: 18104 grad_norm: 6.2744 loss: 2.6488 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.5010 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 1.1478 2023/02/03 01:42:58 - mmengine - INFO - Epoch(train) [220][ 200/1879] lr: 6.6613e-03 eta: 9:56:42 time: 0.4934 data_time: 0.0351 memory: 18104 grad_norm: 6.2016 loss: 2.7488 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.7075 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0412 2023/02/03 01:43:09 - mmengine - INFO - Epoch(train) [220][ 220/1879] lr: 6.6576e-03 eta: 9:56:32 time: 0.5007 data_time: 0.0355 memory: 18104 grad_norm: 6.3557 loss: 2.6361 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.5796 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.0565 2023/02/03 01:43:19 - mmengine - INFO - Epoch(train) [220][ 240/1879] lr: 6.6538e-03 eta: 9:56:21 time: 0.4988 data_time: 0.0329 memory: 18104 grad_norm: 6.2006 loss: 2.5726 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.5203 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.0522 2023/02/03 01:43:28 - mmengine - INFO - Epoch(train) [220][ 260/1879] lr: 6.6500e-03 eta: 9:56:10 time: 0.4878 data_time: 0.0351 memory: 18104 grad_norm: 6.4252 loss: 2.4110 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3827 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 1.0284 2023/02/03 01:43:38 - mmengine - INFO - Epoch(train) [220][ 280/1879] lr: 6.6463e-03 eta: 9:56:00 time: 0.5020 data_time: 0.0339 memory: 18104 grad_norm: 6.1937 loss: 2.5493 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.4169 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.1324 2023/02/03 01:43:49 - mmengine - INFO - Epoch(train) [220][ 300/1879] lr: 6.6425e-03 eta: 9:55:49 time: 0.5082 data_time: 0.0381 memory: 18104 grad_norm: 6.1540 loss: 2.4299 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.3225 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 1.1075 2023/02/03 01:43:58 - mmengine - INFO - Epoch(train) [220][ 320/1879] lr: 6.6388e-03 eta: 9:55:39 time: 0.4936 data_time: 0.0398 memory: 18104 grad_norm: 6.2003 loss: 2.4911 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 1.3407 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 1.1504 2023/02/03 01:44:08 - mmengine - INFO - Epoch(train) [220][ 340/1879] lr: 6.6350e-03 eta: 9:55:28 time: 0.4999 data_time: 0.0371 memory: 18104 grad_norm: 6.2721 loss: 2.6278 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4602 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.1676 2023/02/03 01:44:19 - mmengine - INFO - Epoch(train) [220][ 360/1879] lr: 6.6313e-03 eta: 9:55:18 time: 0.5098 data_time: 0.0327 memory: 18104 grad_norm: 6.1925 loss: 2.8041 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.7465 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.0576 2023/02/03 01:44:29 - mmengine - INFO - Epoch(train) [220][ 380/1879] lr: 6.6275e-03 eta: 9:55:07 time: 0.4909 data_time: 0.0379 memory: 18104 grad_norm: 6.1706 loss: 2.5797 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.4049 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.1748 2023/02/03 01:44:39 - mmengine - INFO - Epoch(train) [220][ 400/1879] lr: 6.6238e-03 eta: 9:54:56 time: 0.5015 data_time: 0.0397 memory: 18104 grad_norm: 6.2983 loss: 2.5792 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.5021 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0771 2023/02/03 01:44:49 - mmengine - INFO - Epoch(train) [220][ 420/1879] lr: 6.6201e-03 eta: 9:54:46 time: 0.5002 data_time: 0.0365 memory: 18104 grad_norm: 6.1513 loss: 2.5896 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.5352 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.0544 2023/02/03 01:44:59 - mmengine - INFO - Epoch(train) [220][ 440/1879] lr: 6.6163e-03 eta: 9:54:35 time: 0.5010 data_time: 0.0340 memory: 18104 grad_norm: 6.1944 loss: 2.2683 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.2305 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.0378 2023/02/03 01:45:08 - mmengine - INFO - Epoch(train) [220][ 460/1879] lr: 6.6126e-03 eta: 9:54:25 time: 0.4907 data_time: 0.0364 memory: 18104 grad_norm: 6.0708 loss: 2.2387 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2688 top1_acc_1: 0.7765 top5_acc_1: 0.8588 loss_cls_1: 0.9699 2023/02/03 01:45:19 - mmengine - INFO - Epoch(train) [220][ 480/1879] lr: 6.6088e-03 eta: 9:54:14 time: 0.5106 data_time: 0.0331 memory: 18104 grad_norm: 6.3155 loss: 2.5781 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 1.4471 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.1310 2023/02/03 01:45:28 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 01:45:29 - mmengine - INFO - Epoch(train) [220][ 500/1879] lr: 6.6051e-03 eta: 9:54:03 time: 0.4990 data_time: 0.0362 memory: 18104 grad_norm: 6.2342 loss: 2.6223 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5179 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.1044 2023/02/03 01:45:39 - mmengine - INFO - Epoch(train) [220][ 520/1879] lr: 6.6013e-03 eta: 9:53:53 time: 0.4963 data_time: 0.0331 memory: 18104 grad_norm: 6.3083 loss: 2.4930 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 1.3769 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.1161 2023/02/03 01:45:49 - mmengine - INFO - Epoch(train) [220][ 540/1879] lr: 6.5976e-03 eta: 9:53:42 time: 0.5082 data_time: 0.0379 memory: 18104 grad_norm: 6.1727 loss: 2.5647 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.4615 top1_acc_1: 0.8118 top5_acc_1: 0.8941 loss_cls_1: 1.1033 2023/02/03 01:45:59 - mmengine - INFO - Epoch(train) [220][ 560/1879] lr: 6.5939e-03 eta: 9:53:32 time: 0.4962 data_time: 0.0333 memory: 18104 grad_norm: 6.1497 loss: 2.4905 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.4202 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.0703 2023/02/03 01:46:09 - mmengine - INFO - Epoch(train) [220][ 580/1879] lr: 6.5901e-03 eta: 9:53:21 time: 0.5009 data_time: 0.0425 memory: 18104 grad_norm: 6.4440 loss: 2.3655 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.3376 top1_acc_1: 0.6588 top5_acc_1: 0.9294 loss_cls_1: 1.0279 2023/02/03 01:46:19 - mmengine - INFO - Epoch(train) [220][ 600/1879] lr: 6.5864e-03 eta: 9:53:11 time: 0.5035 data_time: 0.0331 memory: 18104 grad_norm: 6.4188 loss: 2.4622 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.3649 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.0973 2023/02/03 01:46:29 - mmengine - INFO - Epoch(train) [220][ 620/1879] lr: 6.5827e-03 eta: 9:53:00 time: 0.5018 data_time: 0.0372 memory: 18104 grad_norm: 6.2523 loss: 2.5477 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4337 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.1140 2023/02/03 01:46:39 - mmengine - INFO - Epoch(train) [220][ 640/1879] lr: 6.5789e-03 eta: 9:52:50 time: 0.5004 data_time: 0.0426 memory: 18104 grad_norm: 6.2302 loss: 2.4042 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.3486 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.0556 2023/02/03 01:46:49 - mmengine - INFO - Epoch(train) [220][ 660/1879] lr: 6.5752e-03 eta: 9:52:39 time: 0.4911 data_time: 0.0367 memory: 18104 grad_norm: 6.3784 loss: 2.6873 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.5807 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 1.1066 2023/02/03 01:46:59 - mmengine - INFO - Epoch(train) [220][ 680/1879] lr: 6.5715e-03 eta: 9:52:29 time: 0.5191 data_time: 0.0328 memory: 18104 grad_norm: 6.4067 loss: 2.6310 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.6384 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9926 2023/02/03 01:47:09 - mmengine - INFO - Epoch(train) [220][ 700/1879] lr: 6.5677e-03 eta: 9:52:18 time: 0.4944 data_time: 0.0376 memory: 18104 grad_norm: 6.1909 loss: 2.7756 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.5838 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.1918 2023/02/03 01:47:19 - mmengine - INFO - Epoch(train) [220][ 720/1879] lr: 6.5640e-03 eta: 9:52:07 time: 0.5111 data_time: 0.0391 memory: 18104 grad_norm: 6.1950 loss: 2.8499 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6808 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.1691 2023/02/03 01:47:29 - mmengine - INFO - Epoch(train) [220][ 740/1879] lr: 6.5603e-03 eta: 9:51:57 time: 0.4933 data_time: 0.0367 memory: 18104 grad_norm: 6.4580 loss: 2.7509 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.6179 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.1330 2023/02/03 01:47:40 - mmengine - INFO - Epoch(train) [220][ 760/1879] lr: 6.5565e-03 eta: 9:51:46 time: 0.5077 data_time: 0.0337 memory: 18104 grad_norm: 6.3099 loss: 2.8644 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.7044 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.1600 2023/02/03 01:47:49 - mmengine - INFO - Epoch(train) [220][ 780/1879] lr: 6.5528e-03 eta: 9:51:36 time: 0.4940 data_time: 0.0362 memory: 18104 grad_norm: 6.2359 loss: 2.6279 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5168 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.1111 2023/02/03 01:48:00 - mmengine - INFO - Epoch(train) [220][ 800/1879] lr: 6.5491e-03 eta: 9:51:25 time: 0.5035 data_time: 0.0327 memory: 18104 grad_norm: 6.3358 loss: 2.6497 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.5090 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.1407 2023/02/03 01:48:10 - mmengine - INFO - Epoch(train) [220][ 820/1879] lr: 6.5454e-03 eta: 9:51:15 time: 0.5101 data_time: 0.0368 memory: 18104 grad_norm: 6.1837 loss: 2.5695 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4156 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.1539 2023/02/03 01:48:20 - mmengine - INFO - Epoch(train) [220][ 840/1879] lr: 6.5416e-03 eta: 9:51:04 time: 0.5093 data_time: 0.0326 memory: 18104 grad_norm: 6.2348 loss: 2.6219 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.5662 top1_acc_1: 0.7294 top5_acc_1: 0.9529 loss_cls_1: 1.0557 2023/02/03 01:48:30 - mmengine - INFO - Epoch(train) [220][ 860/1879] lr: 6.5379e-03 eta: 9:50:54 time: 0.4903 data_time: 0.0357 memory: 18104 grad_norm: 6.2187 loss: 2.5989 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4841 top1_acc_1: 0.8471 top5_acc_1: 0.9059 loss_cls_1: 1.1148 2023/02/03 01:48:40 - mmengine - INFO - Epoch(train) [220][ 880/1879] lr: 6.5342e-03 eta: 9:50:43 time: 0.5021 data_time: 0.0320 memory: 18104 grad_norm: 6.3069 loss: 2.7298 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.6021 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.1277 2023/02/03 01:48:50 - mmengine - INFO - Epoch(train) [220][ 900/1879] lr: 6.5305e-03 eta: 9:50:32 time: 0.5055 data_time: 0.0373 memory: 18104 grad_norm: 6.2561 loss: 2.6595 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5678 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.0917 2023/02/03 01:49:00 - mmengine - INFO - Epoch(train) [220][ 920/1879] lr: 6.5267e-03 eta: 9:50:22 time: 0.5012 data_time: 0.0295 memory: 18104 grad_norm: 6.1417 loss: 2.5698 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4764 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.0933 2023/02/03 01:49:10 - mmengine - INFO - Epoch(train) [220][ 940/1879] lr: 6.5230e-03 eta: 9:50:11 time: 0.4929 data_time: 0.0401 memory: 18104 grad_norm: 6.1515 loss: 2.2943 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.2364 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 1.0579 2023/02/03 01:49:20 - mmengine - INFO - Epoch(train) [220][ 960/1879] lr: 6.5193e-03 eta: 9:50:01 time: 0.5095 data_time: 0.0385 memory: 18104 grad_norm: 6.2501 loss: 2.4183 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.3381 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0803 2023/02/03 01:49:30 - mmengine - INFO - Epoch(train) [220][ 980/1879] lr: 6.5156e-03 eta: 9:49:50 time: 0.5055 data_time: 0.0377 memory: 18104 grad_norm: 6.1342 loss: 2.4921 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3156 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 1.1765 2023/02/03 01:49:40 - mmengine - INFO - Epoch(train) [220][1000/1879] lr: 6.5119e-03 eta: 9:49:40 time: 0.4965 data_time: 0.0319 memory: 18104 grad_norm: 6.3000 loss: 2.5679 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4752 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.0927 2023/02/03 01:49:50 - mmengine - INFO - Epoch(train) [220][1020/1879] lr: 6.5081e-03 eta: 9:49:29 time: 0.5028 data_time: 0.0367 memory: 18104 grad_norm: 6.1577 loss: 2.5995 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.5361 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.0634 2023/02/03 01:50:01 - mmengine - INFO - Epoch(train) [220][1040/1879] lr: 6.5044e-03 eta: 9:49:19 time: 0.5161 data_time: 0.0374 memory: 18104 grad_norm: 6.3643 loss: 2.6989 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5987 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.1003 2023/02/03 01:50:11 - mmengine - INFO - Epoch(train) [220][1060/1879] lr: 6.5007e-03 eta: 9:49:08 time: 0.4972 data_time: 0.0372 memory: 18104 grad_norm: 6.4084 loss: 2.7238 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5011 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.2227 2023/02/03 01:50:21 - mmengine - INFO - Epoch(train) [220][1080/1879] lr: 6.4970e-03 eta: 9:48:58 time: 0.5023 data_time: 0.0316 memory: 18104 grad_norm: 6.4362 loss: 2.6286 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4860 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.1426 2023/02/03 01:50:31 - mmengine - INFO - Epoch(train) [220][1100/1879] lr: 6.4933e-03 eta: 9:48:47 time: 0.5055 data_time: 0.0408 memory: 18104 grad_norm: 6.2934 loss: 2.5341 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4523 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.0818 2023/02/03 01:50:41 - mmengine - INFO - Epoch(train) [220][1120/1879] lr: 6.4896e-03 eta: 9:48:37 time: 0.5099 data_time: 0.0366 memory: 18104 grad_norm: 6.2002 loss: 2.6455 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4940 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 1.1515 2023/02/03 01:50:51 - mmengine - INFO - Epoch(train) [220][1140/1879] lr: 6.4859e-03 eta: 9:48:26 time: 0.4972 data_time: 0.0388 memory: 18104 grad_norm: 6.4558 loss: 2.6129 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.4449 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.1681 2023/02/03 01:51:01 - mmengine - INFO - Epoch(train) [220][1160/1879] lr: 6.4822e-03 eta: 9:48:16 time: 0.5003 data_time: 0.0307 memory: 18104 grad_norm: 6.2051 loss: 2.7881 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5961 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.1920 2023/02/03 01:51:11 - mmengine - INFO - Epoch(train) [220][1180/1879] lr: 6.4785e-03 eta: 9:48:05 time: 0.5146 data_time: 0.0364 memory: 18104 grad_norm: 6.3622 loss: 2.6773 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.6162 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.0611 2023/02/03 01:51:21 - mmengine - INFO - Epoch(train) [220][1200/1879] lr: 6.4747e-03 eta: 9:47:55 time: 0.4996 data_time: 0.0328 memory: 18104 grad_norm: 6.3661 loss: 2.6558 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.5678 top1_acc_1: 0.8000 top5_acc_1: 0.8471 loss_cls_1: 1.0879 2023/02/03 01:51:31 - mmengine - INFO - Epoch(train) [220][1220/1879] lr: 6.4710e-03 eta: 9:47:44 time: 0.4995 data_time: 0.0372 memory: 18104 grad_norm: 6.3729 loss: 2.6300 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.5097 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.1204 2023/02/03 01:51:42 - mmengine - INFO - Epoch(train) [220][1240/1879] lr: 6.4673e-03 eta: 9:47:34 time: 0.5070 data_time: 0.0311 memory: 18104 grad_norm: 6.4885 loss: 2.4598 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 1.4176 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.0422 2023/02/03 01:51:51 - mmengine - INFO - Epoch(train) [220][1260/1879] lr: 6.4636e-03 eta: 9:47:23 time: 0.4925 data_time: 0.0371 memory: 18104 grad_norm: 6.2009 loss: 2.5863 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.5104 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.0759 2023/02/03 01:52:01 - mmengine - INFO - Epoch(train) [220][1280/1879] lr: 6.4599e-03 eta: 9:47:12 time: 0.4999 data_time: 0.0397 memory: 18104 grad_norm: 6.3011 loss: 2.6716 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5747 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.0970 2023/02/03 01:52:11 - mmengine - INFO - Epoch(train) [220][1300/1879] lr: 6.4562e-03 eta: 9:47:02 time: 0.4939 data_time: 0.0412 memory: 18104 grad_norm: 6.2438 loss: 2.5445 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4655 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.0790 2023/02/03 01:52:22 - mmengine - INFO - Epoch(train) [220][1320/1879] lr: 6.4525e-03 eta: 9:46:51 time: 0.5230 data_time: 0.0308 memory: 18104 grad_norm: 6.4302 loss: 2.6149 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.5340 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.0809 2023/02/03 01:52:32 - mmengine - INFO - Epoch(train) [220][1340/1879] lr: 6.4488e-03 eta: 9:46:41 time: 0.5003 data_time: 0.0392 memory: 18104 grad_norm: 6.2279 loss: 2.7806 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7116 top1_acc_1: 0.8588 top5_acc_1: 0.9294 loss_cls_1: 1.0690 2023/02/03 01:52:42 - mmengine - INFO - Epoch(train) [220][1360/1879] lr: 6.4451e-03 eta: 9:46:30 time: 0.5143 data_time: 0.0370 memory: 18104 grad_norm: 6.3088 loss: 2.5652 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.4818 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.0835 2023/02/03 01:52:53 - mmengine - INFO - Epoch(train) [220][1380/1879] lr: 6.4414e-03 eta: 9:46:20 time: 0.5327 data_time: 0.0343 memory: 18104 grad_norm: 6.3040 loss: 2.5838 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4565 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 1.1273 2023/02/03 01:53:03 - mmengine - INFO - Epoch(train) [220][1400/1879] lr: 6.4377e-03 eta: 9:46:10 time: 0.5080 data_time: 0.0353 memory: 18104 grad_norm: 6.3135 loss: 2.8195 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.7611 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.0584 2023/02/03 01:53:13 - mmengine - INFO - Epoch(train) [220][1420/1879] lr: 6.4340e-03 eta: 9:45:59 time: 0.5058 data_time: 0.0369 memory: 18104 grad_norm: 6.1883 loss: 2.7271 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.6281 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 1.0990 2023/02/03 01:53:24 - mmengine - INFO - Epoch(train) [220][1440/1879] lr: 6.4303e-03 eta: 9:45:49 time: 0.5278 data_time: 0.0376 memory: 18104 grad_norm: 6.3222 loss: 2.5783 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4284 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.1499 2023/02/03 01:53:34 - mmengine - INFO - Epoch(train) [220][1460/1879] lr: 6.4266e-03 eta: 9:45:39 time: 0.5082 data_time: 0.0372 memory: 18104 grad_norm: 6.3358 loss: 2.6457 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.5128 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.1328 2023/02/03 01:53:44 - mmengine - INFO - Epoch(train) [220][1480/1879] lr: 6.4230e-03 eta: 9:45:28 time: 0.5118 data_time: 0.0344 memory: 18104 grad_norm: 6.4316 loss: 2.6761 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.4635 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.2126 2023/02/03 01:53:54 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 01:53:54 - mmengine - INFO - Epoch(train) [220][1500/1879] lr: 6.4193e-03 eta: 9:45:18 time: 0.5115 data_time: 0.0353 memory: 18104 grad_norm: 6.2911 loss: 2.7409 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 1.6226 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.1182 2023/02/03 01:54:05 - mmengine - INFO - Epoch(train) [220][1520/1879] lr: 6.4156e-03 eta: 9:45:08 time: 0.5214 data_time: 0.0321 memory: 18104 grad_norm: 6.0762 loss: 2.7232 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.6031 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.1202 2023/02/03 01:54:15 - mmengine - INFO - Epoch(train) [220][1540/1879] lr: 6.4119e-03 eta: 9:44:57 time: 0.5130 data_time: 0.0358 memory: 18104 grad_norm: 6.2159 loss: 2.4009 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.3164 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.0846 2023/02/03 01:54:26 - mmengine - INFO - Epoch(train) [220][1560/1879] lr: 6.4082e-03 eta: 9:44:47 time: 0.5296 data_time: 0.0308 memory: 18104 grad_norm: 6.3618 loss: 2.6994 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.5793 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.1201 2023/02/03 01:54:36 - mmengine - INFO - Epoch(train) [220][1580/1879] lr: 6.4045e-03 eta: 9:44:37 time: 0.5239 data_time: 0.0340 memory: 18104 grad_norm: 6.3594 loss: 2.6181 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4916 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.1265 2023/02/03 01:54:47 - mmengine - INFO - Epoch(train) [220][1600/1879] lr: 6.4008e-03 eta: 9:44:27 time: 0.5138 data_time: 0.0323 memory: 18104 grad_norm: 6.2996 loss: 2.3017 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.2348 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.0669 2023/02/03 01:54:57 - mmengine - INFO - Epoch(train) [220][1620/1879] lr: 6.3971e-03 eta: 9:44:17 time: 0.5205 data_time: 0.0353 memory: 18104 grad_norm: 6.4262 loss: 2.7410 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.5653 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.1756 2023/02/03 01:55:08 - mmengine - INFO - Epoch(train) [220][1640/1879] lr: 6.3934e-03 eta: 9:44:06 time: 0.5271 data_time: 0.0328 memory: 18104 grad_norm: 6.2476 loss: 2.6903 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5640 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.1263 2023/02/03 01:55:18 - mmengine - INFO - Epoch(train) [220][1660/1879] lr: 6.3898e-03 eta: 9:43:56 time: 0.5218 data_time: 0.0365 memory: 18104 grad_norm: 6.3439 loss: 2.5239 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.4477 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.0762 2023/02/03 01:55:28 - mmengine - INFO - Epoch(train) [220][1680/1879] lr: 6.3861e-03 eta: 9:43:46 time: 0.5158 data_time: 0.0332 memory: 18104 grad_norm: 6.2205 loss: 2.6544 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.5066 top1_acc_1: 0.7882 top5_acc_1: 0.8471 loss_cls_1: 1.1479 2023/02/03 01:55:39 - mmengine - INFO - Epoch(train) [220][1700/1879] lr: 6.3824e-03 eta: 9:43:36 time: 0.5265 data_time: 0.0358 memory: 18104 grad_norm: 6.2093 loss: 2.4516 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.3566 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.0951 2023/02/03 01:55:49 - mmengine - INFO - Epoch(train) [220][1720/1879] lr: 6.3787e-03 eta: 9:43:25 time: 0.5021 data_time: 0.0324 memory: 18104 grad_norm: 6.3072 loss: 2.5534 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3848 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.1685 2023/02/03 01:55:59 - mmengine - INFO - Epoch(train) [220][1740/1879] lr: 6.3750e-03 eta: 9:43:15 time: 0.5081 data_time: 0.0447 memory: 18104 grad_norm: 6.4483 loss: 2.5623 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.4958 top1_acc_1: 0.8000 top5_acc_1: 0.9882 loss_cls_1: 1.0665 2023/02/03 01:56:10 - mmengine - INFO - Epoch(train) [220][1760/1879] lr: 6.3714e-03 eta: 9:43:04 time: 0.5288 data_time: 0.0297 memory: 18104 grad_norm: 6.1813 loss: 2.2856 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.2941 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.9915 2023/02/03 01:56:20 - mmengine - INFO - Epoch(train) [220][1780/1879] lr: 6.3677e-03 eta: 9:42:54 time: 0.5128 data_time: 0.0348 memory: 18104 grad_norm: 6.2184 loss: 2.4368 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3614 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.0754 2023/02/03 01:56:30 - mmengine - INFO - Epoch(train) [220][1800/1879] lr: 6.3640e-03 eta: 9:42:44 time: 0.5122 data_time: 0.0311 memory: 18104 grad_norm: 6.3912 loss: 2.6439 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6060 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.0380 2023/02/03 01:56:41 - mmengine - INFO - Epoch(train) [220][1820/1879] lr: 6.3603e-03 eta: 9:42:33 time: 0.5184 data_time: 0.0425 memory: 18104 grad_norm: 6.3155 loss: 2.5229 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3865 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.1363 2023/02/03 01:56:51 - mmengine - INFO - Epoch(train) [220][1840/1879] lr: 6.3566e-03 eta: 9:42:23 time: 0.5227 data_time: 0.0365 memory: 18104 grad_norm: 6.3039 loss: 2.5684 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4015 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.1670 2023/02/03 01:57:01 - mmengine - INFO - Epoch(train) [220][1860/1879] lr: 6.3530e-03 eta: 9:42:13 time: 0.5017 data_time: 0.0297 memory: 18104 grad_norm: 6.5294 loss: 2.3335 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.2158 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.1177 2023/02/03 01:57:11 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 01:57:11 - mmengine - INFO - Epoch(train) [220][1879/1879] lr: 6.3495e-03 eta: 9:42:02 time: 0.4845 data_time: 0.0371 memory: 18104 grad_norm: 6.4606 loss: 2.3841 top1_acc_0: 0.7143 top5_acc_0: 0.8571 loss_cls_0: 1.3215 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.0626 2023/02/03 01:57:11 - mmengine - INFO - Saving checkpoint at 220 epochs 2023/02/03 01:57:22 - mmengine - INFO - Epoch(val) [220][ 20/155] eta: 0:01:01 time: 0.4578 data_time: 0.3443 memory: 1900 2023/02/03 01:57:31 - mmengine - INFO - Epoch(val) [220][ 40/155] eta: 0:00:52 time: 0.4521 data_time: 0.3407 memory: 1900 2023/02/03 01:57:39 - mmengine - INFO - Epoch(val) [220][ 60/155] eta: 0:00:42 time: 0.4222 data_time: 0.3108 memory: 1900 2023/02/03 01:57:49 - mmengine - INFO - Epoch(val) [220][ 80/155] eta: 0:00:33 time: 0.4629 data_time: 0.3500 memory: 1900 2023/02/03 01:57:57 - mmengine - INFO - Epoch(val) [220][100/155] eta: 0:00:24 time: 0.4412 data_time: 0.3286 memory: 1900 2023/02/03 01:58:07 - mmengine - INFO - Epoch(val) [220][120/155] eta: 0:00:15 time: 0.4674 data_time: 0.3568 memory: 1900 2023/02/03 01:58:16 - mmengine - INFO - Epoch(val) [220][140/155] eta: 0:00:06 time: 0.4373 data_time: 0.3260 memory: 1900 2023/02/03 01:58:23 - mmengine - INFO - Epoch(val) [220][155/155] acc/top1: 0.6684 acc/top5: 0.8710 acc/mean1: 0.6682 2023/02/03 01:58:23 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_216.pth is removed 2023/02/03 01:58:25 - mmengine - INFO - The best checkpoint with 0.6684 acc/top1 at 220 epoch is saved to best_acc/top1_epoch_220.pth. 2023/02/03 01:58:39 - mmengine - INFO - Epoch(train) [221][ 20/1879] lr: 6.3458e-03 eta: 9:41:55 time: 0.6783 data_time: 0.2207 memory: 18104 grad_norm: 6.3210 loss: 2.4762 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.4363 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 1.0399 2023/02/03 01:58:48 - mmengine - INFO - Epoch(train) [221][ 40/1879] lr: 6.3421e-03 eta: 9:41:44 time: 0.4783 data_time: 0.0324 memory: 18104 grad_norm: 6.3605 loss: 2.6057 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4930 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.1127 2023/02/03 01:58:59 - mmengine - INFO - Epoch(train) [221][ 60/1879] lr: 6.3385e-03 eta: 9:41:33 time: 0.5235 data_time: 0.0496 memory: 18104 grad_norm: 6.4838 loss: 2.6157 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4519 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.1638 2023/02/03 01:59:09 - mmengine - INFO - Epoch(train) [221][ 80/1879] lr: 6.3348e-03 eta: 9:41:23 time: 0.5093 data_time: 0.0321 memory: 18104 grad_norm: 6.3201 loss: 2.5171 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4738 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0433 2023/02/03 01:59:19 - mmengine - INFO - Epoch(train) [221][ 100/1879] lr: 6.3311e-03 eta: 9:41:13 time: 0.5090 data_time: 0.0400 memory: 18104 grad_norm: 6.3282 loss: 2.5367 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.4816 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0551 2023/02/03 01:59:29 - mmengine - INFO - Epoch(train) [221][ 120/1879] lr: 6.3275e-03 eta: 9:41:02 time: 0.4833 data_time: 0.0291 memory: 18104 grad_norm: 6.1488 loss: 2.5303 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.4809 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.0494 2023/02/03 01:59:40 - mmengine - INFO - Epoch(train) [221][ 140/1879] lr: 6.3238e-03 eta: 9:40:52 time: 0.5324 data_time: 0.0457 memory: 18104 grad_norm: 6.2168 loss: 2.5337 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4311 top1_acc_1: 0.6471 top5_acc_1: 0.8118 loss_cls_1: 1.1026 2023/02/03 01:59:49 - mmengine - INFO - Epoch(train) [221][ 160/1879] lr: 6.3201e-03 eta: 9:40:41 time: 0.4840 data_time: 0.0297 memory: 18104 grad_norm: 6.2642 loss: 2.4337 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3764 top1_acc_1: 0.6706 top5_acc_1: 0.9294 loss_cls_1: 1.0573 2023/02/03 01:59:59 - mmengine - INFO - Epoch(train) [221][ 180/1879] lr: 6.3165e-03 eta: 9:40:30 time: 0.4972 data_time: 0.0378 memory: 18104 grad_norm: 6.2256 loss: 2.6168 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.5308 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0860 2023/02/03 02:00:10 - mmengine - INFO - Epoch(train) [221][ 200/1879] lr: 6.3128e-03 eta: 9:40:20 time: 0.5101 data_time: 0.0307 memory: 18104 grad_norm: 6.2210 loss: 2.3788 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.3414 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 1.0375 2023/02/03 02:00:20 - mmengine - INFO - Epoch(train) [221][ 220/1879] lr: 6.3091e-03 eta: 9:40:10 time: 0.5190 data_time: 0.0424 memory: 18104 grad_norm: 6.2983 loss: 2.5489 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4874 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.0615 2023/02/03 02:00:30 - mmengine - INFO - Epoch(train) [221][ 240/1879] lr: 6.3055e-03 eta: 9:39:59 time: 0.4875 data_time: 0.0284 memory: 18104 grad_norm: 6.2233 loss: 2.5461 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4480 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0981 2023/02/03 02:00:40 - mmengine - INFO - Epoch(train) [221][ 260/1879] lr: 6.3018e-03 eta: 9:39:49 time: 0.5237 data_time: 0.0447 memory: 18104 grad_norm: 6.2407 loss: 2.4465 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3901 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.0564 2023/02/03 02:00:51 - mmengine - INFO - Epoch(train) [221][ 280/1879] lr: 6.2982e-03 eta: 9:39:38 time: 0.5078 data_time: 0.0297 memory: 18104 grad_norm: 6.3480 loss: 2.5426 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4335 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.1091 2023/02/03 02:01:01 - mmengine - INFO - Epoch(train) [221][ 300/1879] lr: 6.2945e-03 eta: 9:39:28 time: 0.5029 data_time: 0.0375 memory: 18104 grad_norm: 6.3095 loss: 2.4361 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.3300 top1_acc_1: 0.7412 top5_acc_1: 0.9647 loss_cls_1: 1.1061 2023/02/03 02:01:11 - mmengine - INFO - Epoch(train) [221][ 320/1879] lr: 6.2908e-03 eta: 9:39:17 time: 0.4939 data_time: 0.0290 memory: 18104 grad_norm: 6.2822 loss: 2.4981 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.3883 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.1097 2023/02/03 02:01:21 - mmengine - INFO - Epoch(train) [221][ 340/1879] lr: 6.2872e-03 eta: 9:39:07 time: 0.5164 data_time: 0.0374 memory: 18104 grad_norm: 6.2410 loss: 2.3340 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3327 top1_acc_1: 0.7647 top5_acc_1: 0.9765 loss_cls_1: 1.0014 2023/02/03 02:01:31 - mmengine - INFO - Epoch(train) [221][ 360/1879] lr: 6.2835e-03 eta: 9:38:56 time: 0.4897 data_time: 0.0317 memory: 18104 grad_norm: 6.3531 loss: 2.5836 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.5145 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.0691 2023/02/03 02:01:41 - mmengine - INFO - Epoch(train) [221][ 380/1879] lr: 6.2799e-03 eta: 9:38:45 time: 0.4980 data_time: 0.0408 memory: 18104 grad_norm: 6.3196 loss: 2.3750 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.3191 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.0559 2023/02/03 02:01:51 - mmengine - INFO - Epoch(train) [221][ 400/1879] lr: 6.2762e-03 eta: 9:38:35 time: 0.4952 data_time: 0.0315 memory: 18104 grad_norm: 6.2283 loss: 2.5717 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.4814 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0903 2023/02/03 02:02:01 - mmengine - INFO - Epoch(train) [221][ 420/1879] lr: 6.2726e-03 eta: 9:38:24 time: 0.5233 data_time: 0.0367 memory: 18104 grad_norm: 6.2808 loss: 2.7777 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6682 top1_acc_1: 0.6118 top5_acc_1: 0.8941 loss_cls_1: 1.1094 2023/02/03 02:02:11 - mmengine - INFO - Epoch(train) [221][ 440/1879] lr: 6.2689e-03 eta: 9:38:14 time: 0.4937 data_time: 0.0312 memory: 18104 grad_norm: 6.3266 loss: 2.4381 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3950 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.0431 2023/02/03 02:02:21 - mmengine - INFO - Epoch(train) [221][ 460/1879] lr: 6.2653e-03 eta: 9:38:03 time: 0.5070 data_time: 0.0451 memory: 18104 grad_norm: 6.5141 loss: 2.5664 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4738 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 1.0926 2023/02/03 02:02:31 - mmengine - INFO - Epoch(train) [221][ 480/1879] lr: 6.2616e-03 eta: 9:37:53 time: 0.4951 data_time: 0.0307 memory: 18104 grad_norm: 6.2763 loss: 2.2225 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1216 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.1009 2023/02/03 02:02:41 - mmengine - INFO - Epoch(train) [221][ 500/1879] lr: 6.2580e-03 eta: 9:37:42 time: 0.5042 data_time: 0.0381 memory: 18104 grad_norm: 6.2346 loss: 2.6818 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.5169 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.1648 2023/02/03 02:02:51 - mmengine - INFO - Epoch(train) [221][ 520/1879] lr: 6.2543e-03 eta: 9:37:32 time: 0.4954 data_time: 0.0299 memory: 18104 grad_norm: 6.3048 loss: 2.6760 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5575 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.1185 2023/02/03 02:03:01 - mmengine - INFO - Epoch(train) [221][ 540/1879] lr: 6.2507e-03 eta: 9:37:21 time: 0.5044 data_time: 0.0374 memory: 18104 grad_norm: 6.1541 loss: 2.6023 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3767 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 1.2255 2023/02/03 02:03:11 - mmengine - INFO - Epoch(train) [221][ 560/1879] lr: 6.2470e-03 eta: 9:37:10 time: 0.4962 data_time: 0.0290 memory: 18104 grad_norm: 6.2462 loss: 2.4827 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.3751 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.1076 2023/02/03 02:03:21 - mmengine - INFO - Epoch(train) [221][ 580/1879] lr: 6.2434e-03 eta: 9:37:00 time: 0.5026 data_time: 0.0390 memory: 18104 grad_norm: 6.0710 loss: 2.5640 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5079 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 1.0562 2023/02/03 02:03:31 - mmengine - INFO - Epoch(train) [221][ 600/1879] lr: 6.2397e-03 eta: 9:36:49 time: 0.4852 data_time: 0.0303 memory: 18104 grad_norm: 6.3714 loss: 2.5298 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4407 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.0891 2023/02/03 02:03:41 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 02:03:41 - mmengine - INFO - Epoch(train) [221][ 620/1879] lr: 6.2361e-03 eta: 9:36:39 time: 0.5075 data_time: 0.0378 memory: 18104 grad_norm: 6.4247 loss: 2.2973 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2764 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.0209 2023/02/03 02:03:51 - mmengine - INFO - Epoch(train) [221][ 640/1879] lr: 6.2324e-03 eta: 9:36:28 time: 0.4883 data_time: 0.0363 memory: 18104 grad_norm: 6.2436 loss: 2.5076 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4450 top1_acc_1: 0.7882 top5_acc_1: 0.9882 loss_cls_1: 1.0626 2023/02/03 02:04:01 - mmengine - INFO - Epoch(train) [221][ 660/1879] lr: 6.2288e-03 eta: 9:36:17 time: 0.5068 data_time: 0.0399 memory: 18104 grad_norm: 6.3392 loss: 2.5417 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.4364 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 1.1053 2023/02/03 02:04:11 - mmengine - INFO - Epoch(train) [221][ 680/1879] lr: 6.2252e-03 eta: 9:36:07 time: 0.4964 data_time: 0.0305 memory: 18104 grad_norm: 6.2173 loss: 2.5765 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.4960 top1_acc_1: 0.8706 top5_acc_1: 0.9647 loss_cls_1: 1.0805 2023/02/03 02:04:21 - mmengine - INFO - Epoch(train) [221][ 700/1879] lr: 6.2215e-03 eta: 9:35:56 time: 0.5130 data_time: 0.0450 memory: 18104 grad_norm: 6.2733 loss: 2.5087 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4275 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 1.0812 2023/02/03 02:04:31 - mmengine - INFO - Epoch(train) [221][ 720/1879] lr: 6.2179e-03 eta: 9:35:46 time: 0.4855 data_time: 0.0311 memory: 18104 grad_norm: 6.2516 loss: 2.5317 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4786 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.0530 2023/02/03 02:04:41 - mmengine - INFO - Epoch(train) [221][ 740/1879] lr: 6.2143e-03 eta: 9:35:35 time: 0.5111 data_time: 0.0372 memory: 18104 grad_norm: 6.3035 loss: 2.6238 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.4315 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.1923 2023/02/03 02:04:51 - mmengine - INFO - Epoch(train) [221][ 760/1879] lr: 6.2106e-03 eta: 9:35:25 time: 0.5036 data_time: 0.0309 memory: 18104 grad_norm: 6.3988 loss: 2.3907 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.2797 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.1110 2023/02/03 02:05:01 - mmengine - INFO - Epoch(train) [221][ 780/1879] lr: 6.2070e-03 eta: 9:35:14 time: 0.5024 data_time: 0.0369 memory: 18104 grad_norm: 6.1771 loss: 2.5206 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.3913 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.1293 2023/02/03 02:05:12 - mmengine - INFO - Epoch(train) [221][ 800/1879] lr: 6.2034e-03 eta: 9:35:04 time: 0.5038 data_time: 0.0310 memory: 18104 grad_norm: 6.3521 loss: 2.6226 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5295 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.0931 2023/02/03 02:05:22 - mmengine - INFO - Epoch(train) [221][ 820/1879] lr: 6.1997e-03 eta: 9:34:53 time: 0.5070 data_time: 0.0370 memory: 18104 grad_norm: 6.3389 loss: 2.6642 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.5269 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.1373 2023/02/03 02:05:32 - mmengine - INFO - Epoch(train) [221][ 840/1879] lr: 6.1961e-03 eta: 9:34:43 time: 0.4886 data_time: 0.0367 memory: 18104 grad_norm: 6.2493 loss: 2.4451 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.3192 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.1259 2023/02/03 02:05:41 - mmengine - INFO - Epoch(train) [221][ 860/1879] lr: 6.1925e-03 eta: 9:34:32 time: 0.4931 data_time: 0.0392 memory: 18104 grad_norm: 6.3465 loss: 2.5990 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 1.5819 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 1.0171 2023/02/03 02:05:52 - mmengine - INFO - Epoch(train) [221][ 880/1879] lr: 6.1888e-03 eta: 9:34:21 time: 0.5027 data_time: 0.0286 memory: 18104 grad_norm: 6.3261 loss: 2.6587 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.4659 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.1928 2023/02/03 02:06:02 - mmengine - INFO - Epoch(train) [221][ 900/1879] lr: 6.1852e-03 eta: 9:34:11 time: 0.5091 data_time: 0.0383 memory: 18104 grad_norm: 6.2885 loss: 2.6205 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5555 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.0649 2023/02/03 02:06:11 - mmengine - INFO - Epoch(train) [221][ 920/1879] lr: 6.1816e-03 eta: 9:34:00 time: 0.4867 data_time: 0.0307 memory: 18104 grad_norm: 6.5660 loss: 2.5252 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4568 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.0685 2023/02/03 02:06:22 - mmengine - INFO - Epoch(train) [221][ 940/1879] lr: 6.1779e-03 eta: 9:33:50 time: 0.5203 data_time: 0.0380 memory: 18104 grad_norm: 6.2033 loss: 2.5167 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.4570 top1_acc_1: 0.8353 top5_acc_1: 0.9176 loss_cls_1: 1.0597 2023/02/03 02:06:32 - mmengine - INFO - Epoch(train) [221][ 960/1879] lr: 6.1743e-03 eta: 9:33:39 time: 0.4993 data_time: 0.0317 memory: 18104 grad_norm: 6.2689 loss: 2.6944 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.6033 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.0910 2023/02/03 02:06:42 - mmengine - INFO - Epoch(train) [221][ 980/1879] lr: 6.1707e-03 eta: 9:33:29 time: 0.5204 data_time: 0.0454 memory: 18104 grad_norm: 6.2067 loss: 2.6338 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.5770 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.0569 2023/02/03 02:06:52 - mmengine - INFO - Epoch(train) [221][1000/1879] lr: 6.1671e-03 eta: 9:33:18 time: 0.4912 data_time: 0.0307 memory: 18104 grad_norm: 6.3678 loss: 2.4737 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.4011 top1_acc_1: 0.6941 top5_acc_1: 0.9529 loss_cls_1: 1.0726 2023/02/03 02:07:03 - mmengine - INFO - Epoch(train) [221][1020/1879] lr: 6.1634e-03 eta: 9:33:08 time: 0.5319 data_time: 0.0367 memory: 18104 grad_norm: 6.4539 loss: 2.5150 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.4401 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.0749 2023/02/03 02:07:13 - mmengine - INFO - Epoch(train) [221][1040/1879] lr: 6.1598e-03 eta: 9:32:58 time: 0.5015 data_time: 0.0363 memory: 18104 grad_norm: 6.4326 loss: 2.6138 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.5172 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.0965 2023/02/03 02:07:23 - mmengine - INFO - Epoch(train) [221][1060/1879] lr: 6.1562e-03 eta: 9:32:47 time: 0.5093 data_time: 0.0391 memory: 18104 grad_norm: 6.3592 loss: 2.6509 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.5155 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 1.1355 2023/02/03 02:07:33 - mmengine - INFO - Epoch(train) [221][1080/1879] lr: 6.1526e-03 eta: 9:32:37 time: 0.5113 data_time: 0.0305 memory: 18104 grad_norm: 6.3548 loss: 2.4479 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3059 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.1420 2023/02/03 02:07:44 - mmengine - INFO - Epoch(train) [221][1100/1879] lr: 6.1490e-03 eta: 9:32:26 time: 0.5073 data_time: 0.0422 memory: 18104 grad_norm: 6.3705 loss: 2.6455 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.5795 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.0660 2023/02/03 02:07:53 - mmengine - INFO - Epoch(train) [221][1120/1879] lr: 6.1453e-03 eta: 9:32:16 time: 0.4966 data_time: 0.0306 memory: 18104 grad_norm: 6.3050 loss: 2.4376 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.3283 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.1093 2023/02/03 02:08:04 - mmengine - INFO - Epoch(train) [221][1140/1879] lr: 6.1417e-03 eta: 9:32:06 time: 0.5168 data_time: 0.0383 memory: 18104 grad_norm: 6.4455 loss: 2.4984 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.4100 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.0884 2023/02/03 02:08:14 - mmengine - INFO - Epoch(train) [221][1160/1879] lr: 6.1381e-03 eta: 9:31:55 time: 0.5217 data_time: 0.0349 memory: 18104 grad_norm: 6.3858 loss: 2.5158 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.4500 top1_acc_1: 0.6353 top5_acc_1: 0.8588 loss_cls_1: 1.0657 2023/02/03 02:08:25 - mmengine - INFO - Epoch(train) [221][1180/1879] lr: 6.1345e-03 eta: 9:31:45 time: 0.5127 data_time: 0.0384 memory: 18104 grad_norm: 6.4852 loss: 2.4117 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3688 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.0429 2023/02/03 02:08:35 - mmengine - INFO - Epoch(train) [221][1200/1879] lr: 6.1309e-03 eta: 9:31:35 time: 0.5104 data_time: 0.0293 memory: 18104 grad_norm: 6.3574 loss: 2.6365 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.5373 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.0992 2023/02/03 02:08:45 - mmengine - INFO - Epoch(train) [221][1220/1879] lr: 6.1273e-03 eta: 9:31:24 time: 0.5291 data_time: 0.0442 memory: 18104 grad_norm: 6.2149 loss: 2.6302 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5480 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.0822 2023/02/03 02:08:56 - mmengine - INFO - Epoch(train) [221][1240/1879] lr: 6.1237e-03 eta: 9:31:14 time: 0.5172 data_time: 0.0292 memory: 18104 grad_norm: 6.4905 loss: 2.6121 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4973 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.1148 2023/02/03 02:09:06 - mmengine - INFO - Epoch(train) [221][1260/1879] lr: 6.1200e-03 eta: 9:31:04 time: 0.5161 data_time: 0.0387 memory: 18104 grad_norm: 6.4672 loss: 2.7528 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.6363 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.1165 2023/02/03 02:09:17 - mmengine - INFO - Epoch(train) [221][1280/1879] lr: 6.1164e-03 eta: 9:30:53 time: 0.5185 data_time: 0.0302 memory: 18104 grad_norm: 6.1664 loss: 2.4180 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.3896 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 1.0284 2023/02/03 02:09:27 - mmengine - INFO - Epoch(train) [221][1300/1879] lr: 6.1128e-03 eta: 9:30:43 time: 0.5280 data_time: 0.0426 memory: 18104 grad_norm: 6.3053 loss: 2.5149 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.5406 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 0.9743 2023/02/03 02:09:38 - mmengine - INFO - Epoch(train) [221][1320/1879] lr: 6.1092e-03 eta: 9:30:33 time: 0.5295 data_time: 0.0304 memory: 18104 grad_norm: 6.2539 loss: 2.4685 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.3162 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 1.1523 2023/02/03 02:09:48 - mmengine - INFO - Epoch(train) [221][1340/1879] lr: 6.1056e-03 eta: 9:30:23 time: 0.5121 data_time: 0.0390 memory: 18104 grad_norm: 6.4452 loss: 2.5469 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3832 top1_acc_1: 0.8471 top5_acc_1: 0.9412 loss_cls_1: 1.1637 2023/02/03 02:09:59 - mmengine - INFO - Epoch(train) [221][1360/1879] lr: 6.1020e-03 eta: 9:30:13 time: 0.5406 data_time: 0.0347 memory: 18104 grad_norm: 6.2657 loss: 2.5322 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.4661 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.0661 2023/02/03 02:10:10 - mmengine - INFO - Epoch(train) [221][1380/1879] lr: 6.0984e-03 eta: 9:30:03 time: 0.5408 data_time: 0.0360 memory: 18104 grad_norm: 6.3841 loss: 2.7205 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5936 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 1.1270 2023/02/03 02:10:20 - mmengine - INFO - Epoch(train) [221][1400/1879] lr: 6.0948e-03 eta: 9:29:53 time: 0.5314 data_time: 0.0290 memory: 18104 grad_norm: 6.4863 loss: 2.7422 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.6746 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0676 2023/02/03 02:10:31 - mmengine - INFO - Epoch(train) [221][1420/1879] lr: 6.0912e-03 eta: 9:29:43 time: 0.5526 data_time: 0.0443 memory: 18104 grad_norm: 6.2800 loss: 2.5406 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4201 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.1205 2023/02/03 02:10:42 - mmengine - INFO - Epoch(train) [221][1440/1879] lr: 6.0876e-03 eta: 9:29:33 time: 0.5314 data_time: 0.0292 memory: 18104 grad_norm: 6.4582 loss: 2.5910 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4372 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.1539 2023/02/03 02:10:53 - mmengine - INFO - Epoch(train) [221][1460/1879] lr: 6.0840e-03 eta: 9:29:23 time: 0.5336 data_time: 0.0361 memory: 18104 grad_norm: 6.3318 loss: 2.3891 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.3126 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.0765 2023/02/03 02:11:04 - mmengine - INFO - Epoch(train) [221][1480/1879] lr: 6.0804e-03 eta: 9:29:13 time: 0.5478 data_time: 0.0361 memory: 18104 grad_norm: 6.5394 loss: 2.5610 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.4990 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.0620 2023/02/03 02:11:14 - mmengine - INFO - Epoch(train) [221][1500/1879] lr: 6.0768e-03 eta: 9:29:03 time: 0.5271 data_time: 0.0366 memory: 18104 grad_norm: 6.4625 loss: 2.6561 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4498 top1_acc_1: 0.8353 top5_acc_1: 0.9176 loss_cls_1: 1.2063 2023/02/03 02:11:25 - mmengine - INFO - Epoch(train) [221][1520/1879] lr: 6.0732e-03 eta: 9:28:53 time: 0.5495 data_time: 0.0298 memory: 18104 grad_norm: 6.3526 loss: 2.6068 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5757 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 1.0311 2023/02/03 02:11:36 - mmengine - INFO - Epoch(train) [221][1540/1879] lr: 6.0696e-03 eta: 9:28:43 time: 0.5343 data_time: 0.0355 memory: 18104 grad_norm: 6.2881 loss: 2.4897 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.3679 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.1217 2023/02/03 02:11:47 - mmengine - INFO - Epoch(train) [221][1560/1879] lr: 6.0660e-03 eta: 9:28:33 time: 0.5653 data_time: 0.0351 memory: 18104 grad_norm: 6.3256 loss: 2.6069 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4499 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.1570 2023/02/03 02:11:58 - mmengine - INFO - Epoch(train) [221][1580/1879] lr: 6.0624e-03 eta: 9:28:23 time: 0.5222 data_time: 0.0320 memory: 18104 grad_norm: 6.4507 loss: 2.4467 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3472 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.0995 2023/02/03 02:12:08 - mmengine - INFO - Epoch(train) [221][1600/1879] lr: 6.0588e-03 eta: 9:28:13 time: 0.5322 data_time: 0.0344 memory: 18104 grad_norm: 6.3976 loss: 2.6408 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.5112 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.1296 2023/02/03 02:12:20 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 02:12:20 - mmengine - INFO - Epoch(train) [221][1620/1879] lr: 6.0552e-03 eta: 9:28:03 time: 0.5543 data_time: 0.0340 memory: 18104 grad_norm: 6.4780 loss: 2.4713 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4667 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.0046 2023/02/03 02:12:30 - mmengine - INFO - Epoch(train) [221][1640/1879] lr: 6.0516e-03 eta: 9:27:53 time: 0.5224 data_time: 0.0323 memory: 18104 grad_norm: 6.3533 loss: 2.5258 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4632 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0626 2023/02/03 02:12:41 - mmengine - INFO - Epoch(train) [221][1660/1879] lr: 6.0480e-03 eta: 9:27:43 time: 0.5371 data_time: 0.0345 memory: 18104 grad_norm: 6.1938 loss: 2.5531 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4437 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.1094 2023/02/03 02:12:52 - mmengine - INFO - Epoch(train) [221][1680/1879] lr: 6.0444e-03 eta: 9:27:33 time: 0.5464 data_time: 0.0448 memory: 18104 grad_norm: 6.3670 loss: 2.3808 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.2068 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.1740 2023/02/03 02:13:03 - mmengine - INFO - Epoch(train) [221][1700/1879] lr: 6.0409e-03 eta: 9:27:23 time: 0.5393 data_time: 0.0371 memory: 18104 grad_norm: 6.3849 loss: 2.4381 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3463 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.0918 2023/02/03 02:13:13 - mmengine - INFO - Epoch(train) [221][1720/1879] lr: 6.0373e-03 eta: 9:27:13 time: 0.5306 data_time: 0.0324 memory: 18104 grad_norm: 6.2769 loss: 2.3351 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.2304 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.1047 2023/02/03 02:13:24 - mmengine - INFO - Epoch(train) [221][1740/1879] lr: 6.0337e-03 eta: 9:27:03 time: 0.5271 data_time: 0.0340 memory: 18104 grad_norm: 6.3755 loss: 2.7192 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.6470 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.0722 2023/02/03 02:13:34 - mmengine - INFO - Epoch(train) [221][1760/1879] lr: 6.0301e-03 eta: 9:26:53 time: 0.5298 data_time: 0.0397 memory: 18104 grad_norm: 6.5034 loss: 2.2482 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.1575 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.0907 2023/02/03 02:13:45 - mmengine - INFO - Epoch(train) [221][1780/1879] lr: 6.0265e-03 eta: 9:26:42 time: 0.5291 data_time: 0.0344 memory: 18104 grad_norm: 6.5054 loss: 2.8186 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.7524 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.0663 2023/02/03 02:13:56 - mmengine - INFO - Epoch(train) [221][1800/1879] lr: 6.0229e-03 eta: 9:26:32 time: 0.5328 data_time: 0.0335 memory: 18104 grad_norm: 6.3141 loss: 2.5272 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.4561 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.0711 2023/02/03 02:14:06 - mmengine - INFO - Epoch(train) [221][1820/1879] lr: 6.0193e-03 eta: 9:26:22 time: 0.5146 data_time: 0.0413 memory: 18104 grad_norm: 6.3626 loss: 2.4471 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3528 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0943 2023/02/03 02:14:17 - mmengine - INFO - Epoch(train) [221][1840/1879] lr: 6.0158e-03 eta: 9:26:12 time: 0.5309 data_time: 0.0312 memory: 18104 grad_norm: 6.3593 loss: 2.6433 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5494 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.0939 2023/02/03 02:14:27 - mmengine - INFO - Epoch(train) [221][1860/1879] lr: 6.0122e-03 eta: 9:26:02 time: 0.5167 data_time: 0.0339 memory: 18104 grad_norm: 6.3790 loss: 2.3610 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2896 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.0714 2023/02/03 02:14:36 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 02:14:36 - mmengine - INFO - Epoch(train) [221][1879/1879] lr: 6.0088e-03 eta: 9:25:51 time: 0.5002 data_time: 0.0304 memory: 18104 grad_norm: 6.5236 loss: 2.8841 top1_acc_0: 0.4286 top5_acc_0: 0.8571 loss_cls_0: 1.7424 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.1418 2023/02/03 02:14:52 - mmengine - INFO - Epoch(train) [222][ 20/1879] lr: 6.0052e-03 eta: 9:25:44 time: 0.7278 data_time: 0.2602 memory: 18104 grad_norm: 6.3226 loss: 2.7598 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.6923 top1_acc_1: 0.7412 top5_acc_1: 0.9765 loss_cls_1: 1.0675 2023/02/03 02:15:02 - mmengine - INFO - Epoch(train) [222][ 40/1879] lr: 6.0016e-03 eta: 9:25:33 time: 0.4836 data_time: 0.0299 memory: 18104 grad_norm: 6.3360 loss: 2.5967 top1_acc_0: 0.5625 top5_acc_0: 1.0000 loss_cls_0: 1.4425 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.1543 2023/02/03 02:15:12 - mmengine - INFO - Epoch(train) [222][ 60/1879] lr: 5.9980e-03 eta: 9:25:23 time: 0.4976 data_time: 0.0378 memory: 18104 grad_norm: 6.4019 loss: 2.5968 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.5752 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.0216 2023/02/03 02:15:22 - mmengine - INFO - Epoch(train) [222][ 80/1879] lr: 5.9945e-03 eta: 9:25:13 time: 0.5338 data_time: 0.0290 memory: 18104 grad_norm: 6.4079 loss: 2.5006 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.4019 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.0986 2023/02/03 02:15:32 - mmengine - INFO - Epoch(train) [222][ 100/1879] lr: 5.9909e-03 eta: 9:25:02 time: 0.4973 data_time: 0.0379 memory: 18104 grad_norm: 6.3740 loss: 2.5220 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.4645 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.0574 2023/02/03 02:15:42 - mmengine - INFO - Epoch(train) [222][ 120/1879] lr: 5.9873e-03 eta: 9:24:51 time: 0.4875 data_time: 0.0304 memory: 18104 grad_norm: 6.2346 loss: 2.5161 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4660 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.0501 2023/02/03 02:15:53 - mmengine - INFO - Epoch(train) [222][ 140/1879] lr: 5.9837e-03 eta: 9:24:41 time: 0.5347 data_time: 0.0459 memory: 18104 grad_norm: 6.4681 loss: 2.5389 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.4729 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.0661 2023/02/03 02:16:02 - mmengine - INFO - Epoch(train) [222][ 160/1879] lr: 5.9802e-03 eta: 9:24:31 time: 0.4887 data_time: 0.0293 memory: 18104 grad_norm: 6.2537 loss: 2.4039 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.3064 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.0975 2023/02/03 02:16:12 - mmengine - INFO - Epoch(train) [222][ 180/1879] lr: 5.9766e-03 eta: 9:24:20 time: 0.4982 data_time: 0.0364 memory: 18104 grad_norm: 6.2446 loss: 2.3876 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3113 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 1.0763 2023/02/03 02:16:22 - mmengine - INFO - Epoch(train) [222][ 200/1879] lr: 5.9730e-03 eta: 9:24:09 time: 0.4922 data_time: 0.0328 memory: 18104 grad_norm: 6.3012 loss: 2.5540 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4180 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.1359 2023/02/03 02:16:33 - mmengine - INFO - Epoch(train) [222][ 220/1879] lr: 5.9695e-03 eta: 9:23:59 time: 0.5376 data_time: 0.0376 memory: 18104 grad_norm: 6.3543 loss: 2.5591 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4703 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.0889 2023/02/03 02:16:43 - mmengine - INFO - Epoch(train) [222][ 240/1879] lr: 5.9659e-03 eta: 9:23:49 time: 0.4839 data_time: 0.0289 memory: 18104 grad_norm: 6.3398 loss: 2.7406 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5719 top1_acc_1: 0.6824 top5_acc_1: 0.9294 loss_cls_1: 1.1687 2023/02/03 02:16:53 - mmengine - INFO - Epoch(train) [222][ 260/1879] lr: 5.9623e-03 eta: 9:23:38 time: 0.5012 data_time: 0.0390 memory: 18104 grad_norm: 6.3097 loss: 2.5605 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.5017 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.0588 2023/02/03 02:17:03 - mmengine - INFO - Epoch(train) [222][ 280/1879] lr: 5.9588e-03 eta: 9:23:27 time: 0.5011 data_time: 0.0303 memory: 18104 grad_norm: 6.3866 loss: 2.5004 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4515 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 1.0489 2023/02/03 02:17:13 - mmengine - INFO - Epoch(train) [222][ 300/1879] lr: 5.9552e-03 eta: 9:23:17 time: 0.5275 data_time: 0.0380 memory: 18104 grad_norm: 6.2349 loss: 2.5676 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.4976 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.0700 2023/02/03 02:17:23 - mmengine - INFO - Epoch(train) [222][ 320/1879] lr: 5.9516e-03 eta: 9:23:07 time: 0.4953 data_time: 0.0307 memory: 18104 grad_norm: 6.5732 loss: 2.5308 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.4757 top1_acc_1: 0.6471 top5_acc_1: 0.8000 loss_cls_1: 1.0551 2023/02/03 02:17:33 - mmengine - INFO - Epoch(train) [222][ 340/1879] lr: 5.9481e-03 eta: 9:22:56 time: 0.4991 data_time: 0.0371 memory: 18104 grad_norm: 6.3470 loss: 2.6281 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.5533 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.0748 2023/02/03 02:17:44 - mmengine - INFO - Epoch(train) [222][ 360/1879] lr: 5.9445e-03 eta: 9:22:46 time: 0.5047 data_time: 0.0299 memory: 18104 grad_norm: 6.3363 loss: 2.3976 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.3265 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.0711 2023/02/03 02:17:54 - mmengine - INFO - Epoch(train) [222][ 380/1879] lr: 5.9409e-03 eta: 9:22:35 time: 0.5293 data_time: 0.0456 memory: 18104 grad_norm: 6.4597 loss: 2.6459 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5447 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 1.1012 2023/02/03 02:18:04 - mmengine - INFO - Epoch(train) [222][ 400/1879] lr: 5.9374e-03 eta: 9:22:25 time: 0.4892 data_time: 0.0315 memory: 18104 grad_norm: 6.4127 loss: 2.4218 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.3843 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0375 2023/02/03 02:18:14 - mmengine - INFO - Epoch(train) [222][ 420/1879] lr: 5.9338e-03 eta: 9:22:15 time: 0.5217 data_time: 0.0385 memory: 18104 grad_norm: 6.4363 loss: 2.3601 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2598 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.1003 2023/02/03 02:18:24 - mmengine - INFO - Epoch(train) [222][ 440/1879] lr: 5.9303e-03 eta: 9:22:04 time: 0.5023 data_time: 0.0391 memory: 18104 grad_norm: 6.3244 loss: 2.5620 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5214 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.0406 2023/02/03 02:18:35 - mmengine - INFO - Epoch(train) [222][ 460/1879] lr: 5.9267e-03 eta: 9:21:54 time: 0.5067 data_time: 0.0359 memory: 18104 grad_norm: 6.3848 loss: 2.6495 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.5153 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.1341 2023/02/03 02:18:45 - mmengine - INFO - Epoch(train) [222][ 480/1879] lr: 5.9232e-03 eta: 9:21:43 time: 0.4940 data_time: 0.0304 memory: 18104 grad_norm: 6.5216 loss: 2.5440 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4599 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.0841 2023/02/03 02:18:55 - mmengine - INFO - Epoch(train) [222][ 500/1879] lr: 5.9196e-03 eta: 9:21:32 time: 0.5086 data_time: 0.0373 memory: 18104 grad_norm: 6.3553 loss: 2.5448 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.4717 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.0731 2023/02/03 02:19:05 - mmengine - INFO - Epoch(train) [222][ 520/1879] lr: 5.9160e-03 eta: 9:21:22 time: 0.4994 data_time: 0.0290 memory: 18104 grad_norm: 6.4584 loss: 2.3923 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3355 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 1.0569 2023/02/03 02:19:15 - mmengine - INFO - Epoch(train) [222][ 540/1879] lr: 5.9125e-03 eta: 9:21:11 time: 0.5076 data_time: 0.0366 memory: 18104 grad_norm: 6.5376 loss: 2.4976 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3569 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.1408 2023/02/03 02:19:25 - mmengine - INFO - Epoch(train) [222][ 560/1879] lr: 5.9089e-03 eta: 9:21:01 time: 0.4986 data_time: 0.0289 memory: 18104 grad_norm: 6.3227 loss: 2.3868 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3476 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 1.0392 2023/02/03 02:19:35 - mmengine - INFO - Epoch(train) [222][ 580/1879] lr: 5.9054e-03 eta: 9:20:51 time: 0.5157 data_time: 0.0375 memory: 18104 grad_norm: 6.3787 loss: 2.6005 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.4913 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.1092 2023/02/03 02:19:45 - mmengine - INFO - Epoch(train) [222][ 600/1879] lr: 5.9018e-03 eta: 9:20:40 time: 0.5002 data_time: 0.0414 memory: 18104 grad_norm: 6.4300 loss: 2.4555 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.2938 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 1.1617 2023/02/03 02:19:56 - mmengine - INFO - Epoch(train) [222][ 620/1879] lr: 5.8983e-03 eta: 9:20:30 time: 0.5174 data_time: 0.0346 memory: 18104 grad_norm: 6.3321 loss: 2.5976 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.4881 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.1095 2023/02/03 02:20:06 - mmengine - INFO - Epoch(train) [222][ 640/1879] lr: 5.8947e-03 eta: 9:20:19 time: 0.4970 data_time: 0.0344 memory: 18104 grad_norm: 6.4344 loss: 2.4231 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4170 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.0061 2023/02/03 02:20:16 - mmengine - INFO - Epoch(train) [222][ 660/1879] lr: 5.8912e-03 eta: 9:20:09 time: 0.5133 data_time: 0.0363 memory: 18104 grad_norm: 6.3548 loss: 2.4869 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.4572 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.0297 2023/02/03 02:20:26 - mmengine - INFO - Epoch(train) [222][ 680/1879] lr: 5.8876e-03 eta: 9:19:58 time: 0.4979 data_time: 0.0328 memory: 18104 grad_norm: 6.4699 loss: 2.6839 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5497 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.1342 2023/02/03 02:20:36 - mmengine - INFO - Epoch(train) [222][ 700/1879] lr: 5.8841e-03 eta: 9:19:48 time: 0.5095 data_time: 0.0353 memory: 18104 grad_norm: 6.4530 loss: 2.6323 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.5804 top1_acc_1: 0.7882 top5_acc_1: 0.9765 loss_cls_1: 1.0518 2023/02/03 02:20:46 - mmengine - INFO - Epoch(train) [222][ 720/1879] lr: 5.8806e-03 eta: 9:19:37 time: 0.4917 data_time: 0.0345 memory: 18104 grad_norm: 6.6271 loss: 2.4620 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.3486 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.1134 2023/02/03 02:20:56 - mmengine - INFO - Epoch(train) [222][ 740/1879] lr: 5.8770e-03 eta: 9:19:27 time: 0.5144 data_time: 0.0419 memory: 18104 grad_norm: 6.5095 loss: 2.5417 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.4760 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.0657 2023/02/03 02:20:57 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 02:21:06 - mmengine - INFO - Epoch(train) [222][ 760/1879] lr: 5.8735e-03 eta: 9:19:16 time: 0.4873 data_time: 0.0335 memory: 18104 grad_norm: 6.3707 loss: 2.4621 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4116 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.0505 2023/02/03 02:21:16 - mmengine - INFO - Epoch(train) [222][ 780/1879] lr: 5.8699e-03 eta: 9:19:06 time: 0.5157 data_time: 0.0352 memory: 18104 grad_norm: 6.6348 loss: 2.4932 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3494 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.1438 2023/02/03 02:21:27 - mmengine - INFO - Epoch(train) [222][ 800/1879] lr: 5.8664e-03 eta: 9:18:55 time: 0.5073 data_time: 0.0399 memory: 18104 grad_norm: 6.4551 loss: 2.6679 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.5216 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.1463 2023/02/03 02:21:36 - mmengine - INFO - Epoch(train) [222][ 820/1879] lr: 5.8629e-03 eta: 9:18:45 time: 0.4952 data_time: 0.0351 memory: 18104 grad_norm: 6.5205 loss: 2.7328 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.6469 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.0859 2023/02/03 02:21:46 - mmengine - INFO - Epoch(train) [222][ 840/1879] lr: 5.8593e-03 eta: 9:18:34 time: 0.4915 data_time: 0.0341 memory: 18104 grad_norm: 6.4855 loss: 2.6851 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.5725 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.1126 2023/02/03 02:21:57 - mmengine - INFO - Epoch(train) [222][ 860/1879] lr: 5.8558e-03 eta: 9:18:24 time: 0.5216 data_time: 0.0415 memory: 18104 grad_norm: 6.5190 loss: 2.4544 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3495 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.1049 2023/02/03 02:22:06 - mmengine - INFO - Epoch(train) [222][ 880/1879] lr: 5.8522e-03 eta: 9:18:13 time: 0.4805 data_time: 0.0328 memory: 18104 grad_norm: 6.5116 loss: 2.4185 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 1.3434 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.0751 2023/02/03 02:22:17 - mmengine - INFO - Epoch(train) [222][ 900/1879] lr: 5.8487e-03 eta: 9:18:02 time: 0.5036 data_time: 0.0372 memory: 18104 grad_norm: 6.5258 loss: 2.6437 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.5779 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.0658 2023/02/03 02:22:26 - mmengine - INFO - Epoch(train) [222][ 920/1879] lr: 5.8452e-03 eta: 9:17:52 time: 0.4943 data_time: 0.0326 memory: 18104 grad_norm: 6.2885 loss: 2.4952 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4610 top1_acc_1: 0.8353 top5_acc_1: 0.8824 loss_cls_1: 1.0342 2023/02/03 02:22:37 - mmengine - INFO - Epoch(train) [222][ 940/1879] lr: 5.8416e-03 eta: 9:17:41 time: 0.5142 data_time: 0.0409 memory: 18104 grad_norm: 6.4029 loss: 2.6921 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.5663 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 1.1258 2023/02/03 02:22:46 - mmengine - INFO - Epoch(train) [222][ 960/1879] lr: 5.8381e-03 eta: 9:17:31 time: 0.4833 data_time: 0.0329 memory: 18104 grad_norm: 6.3744 loss: 2.4472 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.3755 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.0717 2023/02/03 02:22:57 - mmengine - INFO - Epoch(train) [222][ 980/1879] lr: 5.8346e-03 eta: 9:17:20 time: 0.5057 data_time: 0.0359 memory: 18104 grad_norm: 6.4777 loss: 2.5116 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3890 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.1226 2023/02/03 02:23:07 - mmengine - INFO - Epoch(train) [222][1000/1879] lr: 5.8310e-03 eta: 9:17:10 time: 0.5129 data_time: 0.0335 memory: 18104 grad_norm: 6.3822 loss: 2.5335 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4714 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 1.0620 2023/02/03 02:23:17 - mmengine - INFO - Epoch(train) [222][1020/1879] lr: 5.8275e-03 eta: 9:16:59 time: 0.5019 data_time: 0.0359 memory: 18104 grad_norm: 6.3310 loss: 2.4058 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3446 top1_acc_1: 0.7765 top5_acc_1: 0.9647 loss_cls_1: 1.0613 2023/02/03 02:23:27 - mmengine - INFO - Epoch(train) [222][1040/1879] lr: 5.8240e-03 eta: 9:16:49 time: 0.4917 data_time: 0.0371 memory: 18104 grad_norm: 6.5412 loss: 2.8926 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.7686 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.1240 2023/02/03 02:23:37 - mmengine - INFO - Epoch(train) [222][1060/1879] lr: 5.8205e-03 eta: 9:16:38 time: 0.4993 data_time: 0.0344 memory: 18104 grad_norm: 6.6938 loss: 2.6692 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.5270 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.1422 2023/02/03 02:23:47 - mmengine - INFO - Epoch(train) [222][1080/1879] lr: 5.8169e-03 eta: 9:16:28 time: 0.5048 data_time: 0.0349 memory: 18104 grad_norm: 6.3943 loss: 2.6689 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.5630 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.1059 2023/02/03 02:23:57 - mmengine - INFO - Epoch(train) [222][1100/1879] lr: 5.8134e-03 eta: 9:16:17 time: 0.5169 data_time: 0.0367 memory: 18104 grad_norm: 6.4670 loss: 2.5859 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5155 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.0704 2023/02/03 02:24:07 - mmengine - INFO - Epoch(train) [222][1120/1879] lr: 5.8099e-03 eta: 9:16:07 time: 0.5013 data_time: 0.0321 memory: 18104 grad_norm: 6.3798 loss: 2.5695 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.5000 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 1.0694 2023/02/03 02:24:18 - mmengine - INFO - Epoch(train) [222][1140/1879] lr: 5.8064e-03 eta: 9:15:56 time: 0.5197 data_time: 0.0433 memory: 18104 grad_norm: 6.6197 loss: 2.5201 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4102 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.1099 2023/02/03 02:24:28 - mmengine - INFO - Epoch(train) [222][1160/1879] lr: 5.8028e-03 eta: 9:15:46 time: 0.5077 data_time: 0.0314 memory: 18104 grad_norm: 6.4703 loss: 2.5050 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4087 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.0963 2023/02/03 02:24:38 - mmengine - INFO - Epoch(train) [222][1180/1879] lr: 5.7993e-03 eta: 9:15:36 time: 0.5061 data_time: 0.0361 memory: 18104 grad_norm: 6.3718 loss: 2.5393 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5175 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.0217 2023/02/03 02:24:48 - mmengine - INFO - Epoch(train) [222][1200/1879] lr: 5.7958e-03 eta: 9:15:25 time: 0.4844 data_time: 0.0317 memory: 18104 grad_norm: 6.3680 loss: 2.3211 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2475 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.0736 2023/02/03 02:24:58 - mmengine - INFO - Epoch(train) [222][1220/1879] lr: 5.7923e-03 eta: 9:15:14 time: 0.5208 data_time: 0.0353 memory: 18104 grad_norm: 6.4165 loss: 2.5369 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.4906 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.0463 2023/02/03 02:25:08 - mmengine - INFO - Epoch(train) [222][1240/1879] lr: 5.7888e-03 eta: 9:15:04 time: 0.4969 data_time: 0.0307 memory: 18104 grad_norm: 6.6382 loss: 2.4978 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.3949 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.1030 2023/02/03 02:25:18 - mmengine - INFO - Epoch(train) [222][1260/1879] lr: 5.7852e-03 eta: 9:14:54 time: 0.5130 data_time: 0.0358 memory: 18104 grad_norm: 6.4361 loss: 2.7691 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6598 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.1094 2023/02/03 02:25:28 - mmengine - INFO - Epoch(train) [222][1280/1879] lr: 5.7817e-03 eta: 9:14:43 time: 0.4895 data_time: 0.0314 memory: 18104 grad_norm: 6.4527 loss: 2.4924 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4183 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0742 2023/02/03 02:25:39 - mmengine - INFO - Epoch(train) [222][1300/1879] lr: 5.7782e-03 eta: 9:14:33 time: 0.5233 data_time: 0.0432 memory: 18104 grad_norm: 6.4569 loss: 2.6585 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4587 top1_acc_1: 0.6235 top5_acc_1: 0.8588 loss_cls_1: 1.1998 2023/02/03 02:25:49 - mmengine - INFO - Epoch(train) [222][1320/1879] lr: 5.7747e-03 eta: 9:14:22 time: 0.5047 data_time: 0.0325 memory: 18104 grad_norm: 6.2001 loss: 2.6328 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5638 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.0690 2023/02/03 02:25:59 - mmengine - INFO - Epoch(train) [222][1340/1879] lr: 5.7712e-03 eta: 9:14:12 time: 0.5025 data_time: 0.0369 memory: 18104 grad_norm: 6.3146 loss: 2.6550 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4933 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.1616 2023/02/03 02:26:09 - mmengine - INFO - Epoch(train) [222][1360/1879] lr: 5.7677e-03 eta: 9:14:01 time: 0.5045 data_time: 0.0391 memory: 18104 grad_norm: 6.4067 loss: 2.4721 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3424 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.1297 2023/02/03 02:26:19 - mmengine - INFO - Epoch(train) [222][1380/1879] lr: 5.7642e-03 eta: 9:13:51 time: 0.5078 data_time: 0.0355 memory: 18104 grad_norm: 6.4193 loss: 2.6277 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.5648 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.0629 2023/02/03 02:26:29 - mmengine - INFO - Epoch(train) [222][1400/1879] lr: 5.7607e-03 eta: 9:13:40 time: 0.5001 data_time: 0.0301 memory: 18104 grad_norm: 6.5261 loss: 2.4803 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.4397 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.0405 2023/02/03 02:26:39 - mmengine - INFO - Epoch(train) [222][1420/1879] lr: 5.7571e-03 eta: 9:13:30 time: 0.5069 data_time: 0.0363 memory: 18104 grad_norm: 6.3036 loss: 2.5182 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4508 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.0675 2023/02/03 02:26:49 - mmengine - INFO - Epoch(train) [222][1440/1879] lr: 5.7536e-03 eta: 9:13:19 time: 0.4945 data_time: 0.0319 memory: 18104 grad_norm: 6.3593 loss: 2.5038 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.4894 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.0144 2023/02/03 02:27:00 - mmengine - INFO - Epoch(train) [222][1460/1879] lr: 5.7501e-03 eta: 9:13:09 time: 0.5220 data_time: 0.0358 memory: 18104 grad_norm: 6.3809 loss: 2.4858 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3764 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.1094 2023/02/03 02:27:10 - mmengine - INFO - Epoch(train) [222][1480/1879] lr: 5.7466e-03 eta: 9:12:58 time: 0.4877 data_time: 0.0328 memory: 18104 grad_norm: 6.2438 loss: 2.3997 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3655 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.0343 2023/02/03 02:27:20 - mmengine - INFO - Epoch(train) [222][1500/1879] lr: 5.7431e-03 eta: 9:12:48 time: 0.5173 data_time: 0.0423 memory: 18104 grad_norm: 6.6239 loss: 2.5426 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4344 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.1083 2023/02/03 02:27:30 - mmengine - INFO - Epoch(train) [222][1520/1879] lr: 5.7396e-03 eta: 9:12:37 time: 0.5085 data_time: 0.0316 memory: 18104 grad_norm: 6.3859 loss: 2.6281 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5290 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.0991 2023/02/03 02:27:40 - mmengine - INFO - Epoch(train) [222][1540/1879] lr: 5.7361e-03 eta: 9:12:27 time: 0.5019 data_time: 0.0353 memory: 18104 grad_norm: 6.3132 loss: 2.6374 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.5370 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.1005 2023/02/03 02:27:50 - mmengine - INFO - Epoch(train) [222][1560/1879] lr: 5.7326e-03 eta: 9:12:16 time: 0.5106 data_time: 0.0498 memory: 18104 grad_norm: 6.5742 loss: 2.6564 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.5217 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.1347 2023/02/03 02:28:01 - mmengine - INFO - Epoch(train) [222][1580/1879] lr: 5.7291e-03 eta: 9:12:06 time: 0.5207 data_time: 0.0300 memory: 18104 grad_norm: 6.5129 loss: 2.5217 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.4110 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.1107 2023/02/03 02:28:11 - mmengine - INFO - Epoch(train) [222][1600/1879] lr: 5.7256e-03 eta: 9:11:56 time: 0.5107 data_time: 0.0373 memory: 18104 grad_norm: 6.4465 loss: 2.5491 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.4911 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.0580 2023/02/03 02:28:21 - mmengine - INFO - Epoch(train) [222][1620/1879] lr: 5.7221e-03 eta: 9:11:45 time: 0.5060 data_time: 0.0301 memory: 18104 grad_norm: 6.4270 loss: 2.6965 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.6065 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0899 2023/02/03 02:28:32 - mmengine - INFO - Epoch(train) [222][1640/1879] lr: 5.7186e-03 eta: 9:11:35 time: 0.5220 data_time: 0.0370 memory: 18104 grad_norm: 6.3648 loss: 2.4402 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.3812 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.0590 2023/02/03 02:28:42 - mmengine - INFO - Epoch(train) [222][1660/1879] lr: 5.7151e-03 eta: 9:11:25 time: 0.5162 data_time: 0.0314 memory: 18104 grad_norm: 6.2779 loss: 2.7141 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.5730 top1_acc_1: 0.7529 top5_acc_1: 0.8588 loss_cls_1: 1.1412 2023/02/03 02:28:52 - mmengine - INFO - Epoch(train) [222][1680/1879] lr: 5.7116e-03 eta: 9:11:14 time: 0.5050 data_time: 0.0360 memory: 18104 grad_norm: 6.4590 loss: 2.7732 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.7026 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.0705 2023/02/03 02:29:03 - mmengine - INFO - Epoch(train) [222][1700/1879] lr: 5.7081e-03 eta: 9:11:04 time: 0.5290 data_time: 0.0402 memory: 18104 grad_norm: 6.4286 loss: 2.3723 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.3022 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.0701 2023/02/03 02:29:14 - mmengine - INFO - Epoch(train) [222][1720/1879] lr: 5.7046e-03 eta: 9:10:54 time: 0.5353 data_time: 0.0358 memory: 18104 grad_norm: 6.4814 loss: 2.5600 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.5160 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.0440 2023/02/03 02:29:24 - mmengine - INFO - Epoch(train) [222][1740/1879] lr: 5.7011e-03 eta: 9:10:44 time: 0.5104 data_time: 0.0314 memory: 18104 grad_norm: 6.4660 loss: 2.4265 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.3770 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.0495 2023/02/03 02:29:24 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 02:29:34 - mmengine - INFO - Epoch(train) [222][1760/1879] lr: 5.6976e-03 eta: 9:10:33 time: 0.5070 data_time: 0.0367 memory: 18104 grad_norm: 6.4721 loss: 2.5354 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4587 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.0767 2023/02/03 02:29:44 - mmengine - INFO - Epoch(train) [222][1780/1879] lr: 5.6942e-03 eta: 9:10:23 time: 0.5221 data_time: 0.0285 memory: 18104 grad_norm: 6.5349 loss: 2.6170 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.4631 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.1539 2023/02/03 02:29:55 - mmengine - INFO - Epoch(train) [222][1800/1879] lr: 5.6907e-03 eta: 9:10:13 time: 0.5272 data_time: 0.0374 memory: 18104 grad_norm: 6.6035 loss: 2.5245 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5479 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9766 2023/02/03 02:30:06 - mmengine - INFO - Epoch(train) [222][1820/1879] lr: 5.6872e-03 eta: 9:10:03 time: 0.5310 data_time: 0.0332 memory: 18104 grad_norm: 6.4308 loss: 2.6204 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5587 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.0617 2023/02/03 02:30:16 - mmengine - INFO - Epoch(train) [222][1840/1879] lr: 5.6837e-03 eta: 9:09:53 time: 0.5216 data_time: 0.0436 memory: 18104 grad_norm: 6.6196 loss: 2.3741 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3301 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.0440 2023/02/03 02:30:27 - mmengine - INFO - Epoch(train) [222][1860/1879] lr: 5.6802e-03 eta: 9:09:42 time: 0.5263 data_time: 0.0310 memory: 18104 grad_norm: 6.4603 loss: 2.6651 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.6042 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.0609 2023/02/03 02:30:36 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 02:30:36 - mmengine - INFO - Epoch(train) [222][1879/1879] lr: 5.6769e-03 eta: 9:09:32 time: 0.4892 data_time: 0.0330 memory: 18104 grad_norm: 6.5021 loss: 2.6271 top1_acc_0: 0.8571 top5_acc_0: 0.8571 loss_cls_0: 1.5389 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.0882 2023/02/03 02:30:51 - mmengine - INFO - Epoch(train) [223][ 20/1879] lr: 5.6734e-03 eta: 9:09:25 time: 0.7238 data_time: 0.2567 memory: 18104 grad_norm: 6.3135 loss: 2.4343 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.3587 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.0756 2023/02/03 02:31:01 - mmengine - INFO - Epoch(train) [223][ 40/1879] lr: 5.6699e-03 eta: 9:09:14 time: 0.4737 data_time: 0.0329 memory: 18104 grad_norm: 6.4115 loss: 2.2293 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2589 top1_acc_1: 0.8000 top5_acc_1: 0.8941 loss_cls_1: 0.9704 2023/02/03 02:31:10 - mmengine - INFO - Epoch(train) [223][ 60/1879] lr: 5.6664e-03 eta: 9:09:03 time: 0.4940 data_time: 0.0365 memory: 18104 grad_norm: 6.5021 loss: 2.4594 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4166 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0429 2023/02/03 02:31:21 - mmengine - INFO - Epoch(train) [223][ 80/1879] lr: 5.6630e-03 eta: 9:08:53 time: 0.5256 data_time: 0.0338 memory: 18104 grad_norm: 6.3298 loss: 2.5251 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.4457 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.0794 2023/02/03 02:31:31 - mmengine - INFO - Epoch(train) [223][ 100/1879] lr: 5.6595e-03 eta: 9:08:42 time: 0.4863 data_time: 0.0364 memory: 18104 grad_norm: 6.3368 loss: 2.5949 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5107 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.0842 2023/02/03 02:31:40 - mmengine - INFO - Epoch(train) [223][ 120/1879] lr: 5.6560e-03 eta: 9:08:31 time: 0.4872 data_time: 0.0355 memory: 18104 grad_norm: 6.5292 loss: 2.4114 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4029 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 1.0085 2023/02/03 02:31:51 - mmengine - INFO - Epoch(train) [223][ 140/1879] lr: 5.6525e-03 eta: 9:08:21 time: 0.5220 data_time: 0.0426 memory: 18104 grad_norm: 6.4619 loss: 2.5678 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.5070 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.0608 2023/02/03 02:32:01 - mmengine - INFO - Epoch(train) [223][ 160/1879] lr: 5.6490e-03 eta: 9:08:11 time: 0.5057 data_time: 0.0340 memory: 18104 grad_norm: 6.6197 loss: 2.4104 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.3102 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.1002 2023/02/03 02:32:11 - mmengine - INFO - Epoch(train) [223][ 180/1879] lr: 5.6456e-03 eta: 9:08:00 time: 0.4975 data_time: 0.0376 memory: 18104 grad_norm: 6.5212 loss: 2.5083 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4726 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.0357 2023/02/03 02:32:21 - mmengine - INFO - Epoch(train) [223][ 200/1879] lr: 5.6421e-03 eta: 9:07:50 time: 0.4942 data_time: 0.0340 memory: 18104 grad_norm: 6.4242 loss: 2.3386 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.2501 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.0885 2023/02/03 02:32:31 - mmengine - INFO - Epoch(train) [223][ 220/1879] lr: 5.6386e-03 eta: 9:07:39 time: 0.5165 data_time: 0.0383 memory: 18104 grad_norm: 6.4486 loss: 2.4379 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.3533 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.0846 2023/02/03 02:32:41 - mmengine - INFO - Epoch(train) [223][ 240/1879] lr: 5.6351e-03 eta: 9:07:29 time: 0.4944 data_time: 0.0341 memory: 18104 grad_norm: 6.4232 loss: 2.5554 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4759 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.0794 2023/02/03 02:32:51 - mmengine - INFO - Epoch(train) [223][ 260/1879] lr: 5.6317e-03 eta: 9:07:18 time: 0.5039 data_time: 0.0379 memory: 18104 grad_norm: 6.5229 loss: 2.3642 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3320 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 1.0322 2023/02/03 02:33:01 - mmengine - INFO - Epoch(train) [223][ 280/1879] lr: 5.6282e-03 eta: 9:07:08 time: 0.5007 data_time: 0.0327 memory: 18104 grad_norm: 6.5137 loss: 2.6730 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.5568 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.1162 2023/02/03 02:33:12 - mmengine - INFO - Epoch(train) [223][ 300/1879] lr: 5.6247e-03 eta: 9:06:57 time: 0.5174 data_time: 0.0426 memory: 18104 grad_norm: 6.5899 loss: 2.6179 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5004 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.1176 2023/02/03 02:33:22 - mmengine - INFO - Epoch(train) [223][ 320/1879] lr: 5.6213e-03 eta: 9:06:47 time: 0.5001 data_time: 0.0349 memory: 18104 grad_norm: 6.4406 loss: 2.5109 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.5127 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9982 2023/02/03 02:33:32 - mmengine - INFO - Epoch(train) [223][ 340/1879] lr: 5.6178e-03 eta: 9:06:36 time: 0.4984 data_time: 0.0370 memory: 18104 grad_norm: 6.3589 loss: 2.4973 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4346 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 1.0627 2023/02/03 02:33:42 - mmengine - INFO - Epoch(train) [223][ 360/1879] lr: 5.6143e-03 eta: 9:06:26 time: 0.5141 data_time: 0.0331 memory: 18104 grad_norm: 6.5520 loss: 2.3669 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.3336 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 1.0333 2023/02/03 02:33:52 - mmengine - INFO - Epoch(train) [223][ 380/1879] lr: 5.6108e-03 eta: 9:06:15 time: 0.5105 data_time: 0.0411 memory: 18104 grad_norm: 6.4732 loss: 2.6361 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5134 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.1227 2023/02/03 02:34:02 - mmengine - INFO - Epoch(train) [223][ 400/1879] lr: 5.6074e-03 eta: 9:06:05 time: 0.4920 data_time: 0.0325 memory: 18104 grad_norm: 6.3715 loss: 2.6367 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 1.4810 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 1.1557 2023/02/03 02:34:12 - mmengine - INFO - Epoch(train) [223][ 420/1879] lr: 5.6039e-03 eta: 9:05:54 time: 0.5035 data_time: 0.0344 memory: 18104 grad_norm: 6.3669 loss: 2.4099 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3676 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.0423 2023/02/03 02:34:23 - mmengine - INFO - Epoch(train) [223][ 440/1879] lr: 5.6005e-03 eta: 9:05:44 time: 0.5131 data_time: 0.0387 memory: 18104 grad_norm: 6.5415 loss: 2.3752 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.2693 top1_acc_1: 0.8000 top5_acc_1: 0.8824 loss_cls_1: 1.1059 2023/02/03 02:34:33 - mmengine - INFO - Epoch(train) [223][ 460/1879] lr: 5.5970e-03 eta: 9:05:33 time: 0.5063 data_time: 0.0363 memory: 18104 grad_norm: 6.5683 loss: 2.5449 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5562 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 0.9887 2023/02/03 02:34:43 - mmengine - INFO - Epoch(train) [223][ 480/1879] lr: 5.5935e-03 eta: 9:05:23 time: 0.4959 data_time: 0.0349 memory: 18104 grad_norm: 6.5837 loss: 2.5778 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.5215 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.0563 2023/02/03 02:34:53 - mmengine - INFO - Epoch(train) [223][ 500/1879] lr: 5.5901e-03 eta: 9:05:12 time: 0.5095 data_time: 0.0375 memory: 18104 grad_norm: 6.6863 loss: 2.6689 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 1.6577 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.0112 2023/02/03 02:35:03 - mmengine - INFO - Epoch(train) [223][ 520/1879] lr: 5.5866e-03 eta: 9:05:02 time: 0.4959 data_time: 0.0403 memory: 18104 grad_norm: 6.5569 loss: 2.6094 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.4923 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.1172 2023/02/03 02:35:13 - mmengine - INFO - Epoch(train) [223][ 540/1879] lr: 5.5831e-03 eta: 9:04:51 time: 0.4924 data_time: 0.0375 memory: 18104 grad_norm: 6.4091 loss: 2.4281 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3606 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.0675 2023/02/03 02:35:23 - mmengine - INFO - Epoch(train) [223][ 560/1879] lr: 5.5797e-03 eta: 9:04:41 time: 0.5067 data_time: 0.0359 memory: 18104 grad_norm: 6.3809 loss: 2.3595 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.3354 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.0242 2023/02/03 02:35:33 - mmengine - INFO - Epoch(train) [223][ 580/1879] lr: 5.5762e-03 eta: 9:04:30 time: 0.5109 data_time: 0.0427 memory: 18104 grad_norm: 6.5230 loss: 2.4817 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.3999 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.0819 2023/02/03 02:35:43 - mmengine - INFO - Epoch(train) [223][ 600/1879] lr: 5.5728e-03 eta: 9:04:20 time: 0.4843 data_time: 0.0332 memory: 18104 grad_norm: 6.4054 loss: 2.6821 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6230 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0591 2023/02/03 02:35:53 - mmengine - INFO - Epoch(train) [223][ 620/1879] lr: 5.5693e-03 eta: 9:04:09 time: 0.4913 data_time: 0.0338 memory: 18104 grad_norm: 6.4684 loss: 2.5765 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4660 top1_acc_1: 0.8000 top5_acc_1: 0.8941 loss_cls_1: 1.1105 2023/02/03 02:36:03 - mmengine - INFO - Epoch(train) [223][ 640/1879] lr: 5.5659e-03 eta: 9:03:59 time: 0.5160 data_time: 0.0329 memory: 18104 grad_norm: 6.3840 loss: 2.5900 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5073 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.0827 2023/02/03 02:36:13 - mmengine - INFO - Epoch(train) [223][ 660/1879] lr: 5.5624e-03 eta: 9:03:48 time: 0.5071 data_time: 0.0425 memory: 18104 grad_norm: 6.4427 loss: 2.6498 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5230 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.1269 2023/02/03 02:36:23 - mmengine - INFO - Epoch(train) [223][ 680/1879] lr: 5.5590e-03 eta: 9:03:38 time: 0.4887 data_time: 0.0351 memory: 18104 grad_norm: 6.4608 loss: 2.3446 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3190 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.0256 2023/02/03 02:36:33 - mmengine - INFO - Epoch(train) [223][ 700/1879] lr: 5.5555e-03 eta: 9:03:27 time: 0.5116 data_time: 0.0362 memory: 18104 grad_norm: 6.5822 loss: 2.4623 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3694 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.0928 2023/02/03 02:36:43 - mmengine - INFO - Epoch(train) [223][ 720/1879] lr: 5.5521e-03 eta: 9:03:17 time: 0.5110 data_time: 0.0339 memory: 18104 grad_norm: 6.5372 loss: 2.3290 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2987 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 1.0303 2023/02/03 02:36:53 - mmengine - INFO - Epoch(train) [223][ 740/1879] lr: 5.5486e-03 eta: 9:03:06 time: 0.5023 data_time: 0.0362 memory: 18104 grad_norm: 6.5314 loss: 2.6365 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.5885 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.0481 2023/02/03 02:37:04 - mmengine - INFO - Epoch(train) [223][ 760/1879] lr: 5.5452e-03 eta: 9:02:56 time: 0.5074 data_time: 0.0419 memory: 18104 grad_norm: 6.4378 loss: 2.5955 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 1.5404 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 1.0552 2023/02/03 02:37:14 - mmengine - INFO - Epoch(train) [223][ 780/1879] lr: 5.5417e-03 eta: 9:02:46 time: 0.5189 data_time: 0.0357 memory: 18104 grad_norm: 6.3271 loss: 2.2389 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1818 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.0572 2023/02/03 02:37:24 - mmengine - INFO - Epoch(train) [223][ 800/1879] lr: 5.5383e-03 eta: 9:02:35 time: 0.4968 data_time: 0.0355 memory: 18104 grad_norm: 6.4751 loss: 2.4671 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4455 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.0216 2023/02/03 02:37:34 - mmengine - INFO - Epoch(train) [223][ 820/1879] lr: 5.5348e-03 eta: 9:02:24 time: 0.5004 data_time: 0.0362 memory: 18104 grad_norm: 6.4082 loss: 2.4959 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.4828 top1_acc_1: 0.6588 top5_acc_1: 0.9176 loss_cls_1: 1.0131 2023/02/03 02:37:44 - mmengine - INFO - Epoch(train) [223][ 840/1879] lr: 5.5314e-03 eta: 9:02:14 time: 0.4935 data_time: 0.0351 memory: 18104 grad_norm: 6.3737 loss: 2.6507 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.5941 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.0566 2023/02/03 02:37:54 - mmengine - INFO - Epoch(train) [223][ 860/1879] lr: 5.5279e-03 eta: 9:02:04 time: 0.5163 data_time: 0.0443 memory: 18104 grad_norm: 6.3481 loss: 2.2447 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.2678 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 0.9769 2023/02/03 02:37:55 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 02:38:04 - mmengine - INFO - Epoch(train) [223][ 880/1879] lr: 5.5245e-03 eta: 9:01:53 time: 0.4936 data_time: 0.0353 memory: 18104 grad_norm: 6.3254 loss: 2.4289 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.4043 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.0246 2023/02/03 02:38:14 - mmengine - INFO - Epoch(train) [223][ 900/1879] lr: 5.5211e-03 eta: 9:01:42 time: 0.5071 data_time: 0.0385 memory: 18104 grad_norm: 6.3345 loss: 2.5763 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.5193 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.0571 2023/02/03 02:38:24 - mmengine - INFO - Epoch(train) [223][ 920/1879] lr: 5.5176e-03 eta: 9:01:32 time: 0.5049 data_time: 0.0418 memory: 18104 grad_norm: 6.5554 loss: 2.6880 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.5319 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.1561 2023/02/03 02:38:35 - mmengine - INFO - Epoch(train) [223][ 940/1879] lr: 5.5142e-03 eta: 9:01:21 time: 0.5002 data_time: 0.0340 memory: 18104 grad_norm: 6.3411 loss: 2.5288 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5058 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.0229 2023/02/03 02:38:44 - mmengine - INFO - Epoch(train) [223][ 960/1879] lr: 5.5107e-03 eta: 9:01:11 time: 0.4941 data_time: 0.0331 memory: 18104 grad_norm: 6.4671 loss: 2.4239 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4022 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 1.0217 2023/02/03 02:38:55 - mmengine - INFO - Epoch(train) [223][ 980/1879] lr: 5.5073e-03 eta: 9:01:00 time: 0.5085 data_time: 0.0443 memory: 18104 grad_norm: 6.4575 loss: 2.3690 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2585 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.1106 2023/02/03 02:39:05 - mmengine - INFO - Epoch(train) [223][1000/1879] lr: 5.5039e-03 eta: 9:00:50 time: 0.4943 data_time: 0.0341 memory: 18104 grad_norm: 6.5178 loss: 2.4624 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3429 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 1.1195 2023/02/03 02:39:15 - mmengine - INFO - Epoch(train) [223][1020/1879] lr: 5.5004e-03 eta: 9:00:39 time: 0.5047 data_time: 0.0364 memory: 18104 grad_norm: 6.3927 loss: 2.3379 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.2737 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.0642 2023/02/03 02:39:25 - mmengine - INFO - Epoch(train) [223][1040/1879] lr: 5.4970e-03 eta: 9:00:29 time: 0.4997 data_time: 0.0339 memory: 18104 grad_norm: 6.5177 loss: 2.6045 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5070 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 1.0975 2023/02/03 02:39:35 - mmengine - INFO - Epoch(train) [223][1060/1879] lr: 5.4936e-03 eta: 9:00:18 time: 0.5113 data_time: 0.0425 memory: 18104 grad_norm: 6.6236 loss: 2.5553 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5062 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.0490 2023/02/03 02:39:45 - mmengine - INFO - Epoch(train) [223][1080/1879] lr: 5.4901e-03 eta: 9:00:08 time: 0.4898 data_time: 0.0350 memory: 18104 grad_norm: 6.3967 loss: 2.4548 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3994 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.0554 2023/02/03 02:39:55 - mmengine - INFO - Epoch(train) [223][1100/1879] lr: 5.4867e-03 eta: 8:59:57 time: 0.5009 data_time: 0.0335 memory: 18104 grad_norm: 6.4526 loss: 2.4725 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.4151 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 1.0575 2023/02/03 02:40:05 - mmengine - INFO - Epoch(train) [223][1120/1879] lr: 5.4833e-03 eta: 8:59:47 time: 0.4999 data_time: 0.0317 memory: 18104 grad_norm: 6.3387 loss: 2.3122 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.2606 top1_acc_1: 0.8588 top5_acc_1: 0.9647 loss_cls_1: 1.0516 2023/02/03 02:40:15 - mmengine - INFO - Epoch(train) [223][1140/1879] lr: 5.4799e-03 eta: 8:59:36 time: 0.5024 data_time: 0.0430 memory: 18104 grad_norm: 6.4257 loss: 2.4326 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.3538 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 1.0789 2023/02/03 02:40:25 - mmengine - INFO - Epoch(train) [223][1160/1879] lr: 5.4764e-03 eta: 8:59:26 time: 0.4896 data_time: 0.0337 memory: 18104 grad_norm: 6.4340 loss: 2.4471 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.3320 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.1151 2023/02/03 02:40:35 - mmengine - INFO - Epoch(train) [223][1180/1879] lr: 5.4730e-03 eta: 8:59:15 time: 0.4949 data_time: 0.0357 memory: 18104 grad_norm: 6.5024 loss: 2.5589 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5756 top1_acc_1: 0.7882 top5_acc_1: 0.9765 loss_cls_1: 0.9833 2023/02/03 02:40:44 - mmengine - INFO - Epoch(train) [223][1200/1879] lr: 5.4696e-03 eta: 8:59:04 time: 0.4906 data_time: 0.0339 memory: 18104 grad_norm: 6.4981 loss: 2.4315 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.3183 top1_acc_1: 0.7765 top5_acc_1: 0.8706 loss_cls_1: 1.1132 2023/02/03 02:40:55 - mmengine - INFO - Epoch(train) [223][1220/1879] lr: 5.4661e-03 eta: 8:58:54 time: 0.5060 data_time: 0.0431 memory: 18104 grad_norm: 6.5179 loss: 2.5501 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4887 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.0615 2023/02/03 02:41:05 - mmengine - INFO - Epoch(train) [223][1240/1879] lr: 5.4627e-03 eta: 8:58:43 time: 0.4953 data_time: 0.0345 memory: 18104 grad_norm: 6.5033 loss: 2.3872 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.3961 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 0.9911 2023/02/03 02:41:15 - mmengine - INFO - Epoch(train) [223][1260/1879] lr: 5.4593e-03 eta: 8:58:33 time: 0.5059 data_time: 0.0353 memory: 18104 grad_norm: 6.5080 loss: 2.6607 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5705 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0902 2023/02/03 02:41:25 - mmengine - INFO - Epoch(train) [223][1280/1879] lr: 5.4559e-03 eta: 8:58:22 time: 0.4939 data_time: 0.0347 memory: 18104 grad_norm: 6.5775 loss: 2.5172 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.4697 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 1.0475 2023/02/03 02:41:35 - mmengine - INFO - Epoch(train) [223][1300/1879] lr: 5.4525e-03 eta: 8:58:12 time: 0.5064 data_time: 0.0408 memory: 18104 grad_norm: 6.3423 loss: 2.3628 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3379 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.0249 2023/02/03 02:41:45 - mmengine - INFO - Epoch(train) [223][1320/1879] lr: 5.4490e-03 eta: 8:58:01 time: 0.5006 data_time: 0.0336 memory: 18104 grad_norm: 6.5008 loss: 2.6045 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 1.5769 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.0276 2023/02/03 02:41:55 - mmengine - INFO - Epoch(train) [223][1340/1879] lr: 5.4456e-03 eta: 8:57:51 time: 0.5097 data_time: 0.0360 memory: 18104 grad_norm: 6.5661 loss: 2.6412 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.5548 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.0865 2023/02/03 02:42:05 - mmengine - INFO - Epoch(train) [223][1360/1879] lr: 5.4422e-03 eta: 8:57:40 time: 0.5066 data_time: 0.0342 memory: 18104 grad_norm: 6.4468 loss: 2.3494 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.3458 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.0036 2023/02/03 02:42:16 - mmengine - INFO - Epoch(train) [223][1380/1879] lr: 5.4388e-03 eta: 8:57:30 time: 0.5197 data_time: 0.0375 memory: 18104 grad_norm: 6.6899 loss: 2.5563 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4443 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 1.1120 2023/02/03 02:42:26 - mmengine - INFO - Epoch(train) [223][1400/1879] lr: 5.4354e-03 eta: 8:57:20 time: 0.5038 data_time: 0.0342 memory: 18104 grad_norm: 6.5020 loss: 2.5270 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4599 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 1.0671 2023/02/03 02:42:36 - mmengine - INFO - Epoch(train) [223][1420/1879] lr: 5.4320e-03 eta: 8:57:09 time: 0.5136 data_time: 0.0366 memory: 18104 grad_norm: 6.4596 loss: 2.5710 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5160 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.0551 2023/02/03 02:42:46 - mmengine - INFO - Epoch(train) [223][1440/1879] lr: 5.4285e-03 eta: 8:56:59 time: 0.5185 data_time: 0.0371 memory: 18104 grad_norm: 6.3997 loss: 2.5663 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.5440 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.0223 2023/02/03 02:42:57 - mmengine - INFO - Epoch(train) [223][1460/1879] lr: 5.4251e-03 eta: 8:56:49 time: 0.5150 data_time: 0.0367 memory: 18104 grad_norm: 6.5330 loss: 2.3934 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.3259 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 1.0675 2023/02/03 02:43:07 - mmengine - INFO - Epoch(train) [223][1480/1879] lr: 5.4217e-03 eta: 8:56:38 time: 0.5049 data_time: 0.0319 memory: 18104 grad_norm: 6.3100 loss: 2.6235 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4992 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.1243 2023/02/03 02:43:18 - mmengine - INFO - Epoch(train) [223][1500/1879] lr: 5.4183e-03 eta: 8:56:28 time: 0.5389 data_time: 0.0377 memory: 18104 grad_norm: 6.4164 loss: 2.4029 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4208 top1_acc_1: 0.7882 top5_acc_1: 0.9647 loss_cls_1: 0.9821 2023/02/03 02:43:28 - mmengine - INFO - Epoch(train) [223][1520/1879] lr: 5.4149e-03 eta: 8:56:18 time: 0.5093 data_time: 0.0404 memory: 18104 grad_norm: 6.4367 loss: 2.5390 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5045 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.0345 2023/02/03 02:43:38 - mmengine - INFO - Epoch(train) [223][1540/1879] lr: 5.4115e-03 eta: 8:56:08 time: 0.5244 data_time: 0.0364 memory: 18104 grad_norm: 6.4705 loss: 2.6960 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.6413 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.0546 2023/02/03 02:43:49 - mmengine - INFO - Epoch(train) [223][1560/1879] lr: 5.4081e-03 eta: 8:55:57 time: 0.5090 data_time: 0.0330 memory: 18104 grad_norm: 6.4522 loss: 2.6430 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.5201 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.1229 2023/02/03 02:43:59 - mmengine - INFO - Epoch(train) [223][1580/1879] lr: 5.4047e-03 eta: 8:55:47 time: 0.5370 data_time: 0.0439 memory: 18104 grad_norm: 6.2948 loss: 2.6265 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5700 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.0564 2023/02/03 02:44:10 - mmengine - INFO - Epoch(train) [223][1600/1879] lr: 5.4013e-03 eta: 8:55:37 time: 0.5138 data_time: 0.0310 memory: 18104 grad_norm: 6.4519 loss: 2.5595 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.4703 top1_acc_1: 0.7412 top5_acc_1: 0.9529 loss_cls_1: 1.0892 2023/02/03 02:44:20 - mmengine - INFO - Epoch(train) [223][1620/1879] lr: 5.3979e-03 eta: 8:55:27 time: 0.5203 data_time: 0.0404 memory: 18104 grad_norm: 6.3788 loss: 2.4891 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4511 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.0380 2023/02/03 02:44:30 - mmengine - INFO - Epoch(train) [223][1640/1879] lr: 5.3945e-03 eta: 8:55:16 time: 0.5133 data_time: 0.0328 memory: 18104 grad_norm: 6.5969 loss: 2.8271 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.7535 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.0736 2023/02/03 02:44:41 - mmengine - INFO - Epoch(train) [223][1660/1879] lr: 5.3911e-03 eta: 8:55:06 time: 0.5372 data_time: 0.0414 memory: 18104 grad_norm: 6.4567 loss: 2.5195 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3349 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.1846 2023/02/03 02:44:51 - mmengine - INFO - Epoch(train) [223][1680/1879] lr: 5.3877e-03 eta: 8:54:56 time: 0.5166 data_time: 0.0327 memory: 18104 grad_norm: 6.5488 loss: 2.4900 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.4449 top1_acc_1: 0.7176 top5_acc_1: 0.9529 loss_cls_1: 1.0451 2023/02/03 02:45:02 - mmengine - INFO - Epoch(train) [223][1700/1879] lr: 5.3843e-03 eta: 8:54:46 time: 0.5352 data_time: 0.0372 memory: 18104 grad_norm: 6.7145 loss: 2.4574 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.3193 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.1381 2023/02/03 02:45:12 - mmengine - INFO - Epoch(train) [223][1720/1879] lr: 5.3809e-03 eta: 8:54:35 time: 0.5099 data_time: 0.0433 memory: 18104 grad_norm: 6.4497 loss: 2.4231 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.3747 top1_acc_1: 0.8235 top5_acc_1: 0.9647 loss_cls_1: 1.0484 2023/02/03 02:45:23 - mmengine - INFO - Epoch(train) [223][1740/1879] lr: 5.3775e-03 eta: 8:54:25 time: 0.5261 data_time: 0.0365 memory: 18104 grad_norm: 6.5366 loss: 2.4815 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.3791 top1_acc_1: 0.8118 top5_acc_1: 0.9647 loss_cls_1: 1.1024 2023/02/03 02:45:33 - mmengine - INFO - Epoch(train) [223][1760/1879] lr: 5.3741e-03 eta: 8:54:15 time: 0.5163 data_time: 0.0321 memory: 18104 grad_norm: 6.6190 loss: 2.5957 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 1.5569 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 1.0388 2023/02/03 02:45:44 - mmengine - INFO - Epoch(train) [223][1780/1879] lr: 5.3707e-03 eta: 8:54:05 time: 0.5212 data_time: 0.0467 memory: 18104 grad_norm: 6.5817 loss: 2.5938 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4512 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.1426 2023/02/03 02:45:54 - mmengine - INFO - Epoch(train) [223][1800/1879] lr: 5.3673e-03 eta: 8:53:54 time: 0.5255 data_time: 0.0334 memory: 18104 grad_norm: 6.4865 loss: 2.6927 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.5828 top1_acc_1: 0.8000 top5_acc_1: 0.8706 loss_cls_1: 1.1099 2023/02/03 02:46:05 - mmengine - INFO - Epoch(train) [223][1820/1879] lr: 5.3639e-03 eta: 8:53:44 time: 0.5390 data_time: 0.0362 memory: 18104 grad_norm: 6.4459 loss: 2.5093 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.4707 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0386 2023/02/03 02:46:15 - mmengine - INFO - Epoch(train) [223][1840/1879] lr: 5.3605e-03 eta: 8:53:34 time: 0.5017 data_time: 0.0318 memory: 18104 grad_norm: 6.6009 loss: 2.5966 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5636 top1_acc_1: 0.8706 top5_acc_1: 0.9529 loss_cls_1: 1.0330 2023/02/03 02:46:26 - mmengine - INFO - Epoch(train) [223][1860/1879] lr: 5.3571e-03 eta: 8:53:24 time: 0.5350 data_time: 0.0455 memory: 18104 grad_norm: 6.4349 loss: 2.6407 top1_acc_0: 0.4375 top5_acc_0: 0.9375 loss_cls_0: 1.5595 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 1.0812 2023/02/03 02:46:27 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 02:46:35 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 02:46:35 - mmengine - INFO - Epoch(train) [223][1879/1879] lr: 5.3539e-03 eta: 8:53:14 time: 0.4934 data_time: 0.0270 memory: 18104 grad_norm: 6.5984 loss: 2.3848 top1_acc_0: 0.7143 top5_acc_0: 0.7143 loss_cls_0: 1.4030 top1_acc_1: 0.7294 top5_acc_1: 0.9529 loss_cls_1: 0.9819 2023/02/03 02:46:50 - mmengine - INFO - Epoch(train) [224][ 20/1879] lr: 5.3505e-03 eta: 8:53:06 time: 0.7205 data_time: 0.2626 memory: 18104 grad_norm: 6.2805 loss: 2.3298 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2387 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.0911 2023/02/03 02:47:00 - mmengine - INFO - Epoch(train) [224][ 40/1879] lr: 5.3471e-03 eta: 8:52:55 time: 0.4863 data_time: 0.0330 memory: 18104 grad_norm: 6.3854 loss: 2.5881 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.5874 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.0007 2023/02/03 02:47:10 - mmengine - INFO - Epoch(train) [224][ 60/1879] lr: 5.3437e-03 eta: 8:52:44 time: 0.4862 data_time: 0.0343 memory: 18104 grad_norm: 6.6544 loss: 2.6908 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.6134 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 1.0773 2023/02/03 02:47:20 - mmengine - INFO - Epoch(train) [224][ 80/1879] lr: 5.3403e-03 eta: 8:52:34 time: 0.5413 data_time: 0.0347 memory: 18104 grad_norm: 6.4482 loss: 2.5097 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.4925 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.0171 2023/02/03 02:47:30 - mmengine - INFO - Epoch(train) [224][ 100/1879] lr: 5.3369e-03 eta: 8:52:24 time: 0.4905 data_time: 0.0351 memory: 18104 grad_norm: 6.5321 loss: 2.4406 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.4246 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.0159 2023/02/03 02:47:40 - mmengine - INFO - Epoch(train) [224][ 120/1879] lr: 5.3336e-03 eta: 8:52:13 time: 0.4856 data_time: 0.0337 memory: 18104 grad_norm: 6.3885 loss: 2.6093 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.5006 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.1087 2023/02/03 02:47:50 - mmengine - INFO - Epoch(train) [224][ 140/1879] lr: 5.3302e-03 eta: 8:52:03 time: 0.5130 data_time: 0.0421 memory: 18104 grad_norm: 6.4311 loss: 2.6099 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.5022 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 1.1077 2023/02/03 02:48:00 - mmengine - INFO - Epoch(train) [224][ 160/1879] lr: 5.3268e-03 eta: 8:51:52 time: 0.4935 data_time: 0.0335 memory: 18104 grad_norm: 6.4890 loss: 2.6176 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5804 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.0371 2023/02/03 02:48:10 - mmengine - INFO - Epoch(train) [224][ 180/1879] lr: 5.3234e-03 eta: 8:51:42 time: 0.4930 data_time: 0.0354 memory: 18104 grad_norm: 6.5983 loss: 2.3837 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.3516 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.0322 2023/02/03 02:48:20 - mmengine - INFO - Epoch(train) [224][ 200/1879] lr: 5.3200e-03 eta: 8:51:31 time: 0.4936 data_time: 0.0345 memory: 18104 grad_norm: 6.4183 loss: 2.4565 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.3683 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.0882 2023/02/03 02:48:30 - mmengine - INFO - Epoch(train) [224][ 220/1879] lr: 5.3166e-03 eta: 8:51:21 time: 0.5147 data_time: 0.0407 memory: 18104 grad_norm: 6.7251 loss: 2.5017 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.4224 top1_acc_1: 0.6235 top5_acc_1: 0.8353 loss_cls_1: 1.0793 2023/02/03 02:48:40 - mmengine - INFO - Epoch(train) [224][ 240/1879] lr: 5.3133e-03 eta: 8:51:10 time: 0.4955 data_time: 0.0312 memory: 18104 grad_norm: 6.3653 loss: 2.3633 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.3652 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 0.9981 2023/02/03 02:48:50 - mmengine - INFO - Epoch(train) [224][ 260/1879] lr: 5.3099e-03 eta: 8:50:59 time: 0.4982 data_time: 0.0363 memory: 18104 grad_norm: 6.5163 loss: 2.5746 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5491 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0256 2023/02/03 02:49:01 - mmengine - INFO - Epoch(train) [224][ 280/1879] lr: 5.3065e-03 eta: 8:50:49 time: 0.5218 data_time: 0.0340 memory: 18104 grad_norm: 6.3198 loss: 2.5047 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4923 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.0124 2023/02/03 02:49:11 - mmengine - INFO - Epoch(train) [224][ 300/1879] lr: 5.3031e-03 eta: 8:50:39 time: 0.5304 data_time: 0.0398 memory: 18104 grad_norm: 6.4933 loss: 2.4984 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4757 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.0226 2023/02/03 02:49:22 - mmengine - INFO - Epoch(train) [224][ 320/1879] lr: 5.2998e-03 eta: 8:50:29 time: 0.5115 data_time: 0.0384 memory: 18104 grad_norm: 6.4714 loss: 2.4674 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3858 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.0816 2023/02/03 02:49:32 - mmengine - INFO - Epoch(train) [224][ 340/1879] lr: 5.2964e-03 eta: 8:50:18 time: 0.5111 data_time: 0.0318 memory: 18104 grad_norm: 6.4008 loss: 2.4353 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3675 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.0678 2023/02/03 02:49:42 - mmengine - INFO - Epoch(train) [224][ 360/1879] lr: 5.2930e-03 eta: 8:50:08 time: 0.5239 data_time: 0.0373 memory: 18104 grad_norm: 6.5641 loss: 2.4677 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.3901 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.0776 2023/02/03 02:49:53 - mmengine - INFO - Epoch(train) [224][ 380/1879] lr: 5.2896e-03 eta: 8:49:58 time: 0.5109 data_time: 0.0321 memory: 18104 grad_norm: 6.5406 loss: 2.5365 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4348 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.1017 2023/02/03 02:50:03 - mmengine - INFO - Epoch(train) [224][ 400/1879] lr: 5.2863e-03 eta: 8:49:47 time: 0.5061 data_time: 0.0377 memory: 18104 grad_norm: 6.4137 loss: 2.4751 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3810 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.0941 2023/02/03 02:50:13 - mmengine - INFO - Epoch(train) [224][ 420/1879] lr: 5.2829e-03 eta: 8:49:37 time: 0.5315 data_time: 0.0300 memory: 18104 grad_norm: 6.4552 loss: 2.3429 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.3020 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 1.0409 2023/02/03 02:50:24 - mmengine - INFO - Epoch(train) [224][ 440/1879] lr: 5.2795e-03 eta: 8:49:27 time: 0.5149 data_time: 0.0411 memory: 18104 grad_norm: 6.3552 loss: 2.6534 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5336 top1_acc_1: 0.5882 top5_acc_1: 0.8471 loss_cls_1: 1.1198 2023/02/03 02:50:34 - mmengine - INFO - Epoch(train) [224][ 460/1879] lr: 5.2762e-03 eta: 8:49:16 time: 0.5145 data_time: 0.0334 memory: 18104 grad_norm: 6.4628 loss: 2.5694 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.4593 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.1101 2023/02/03 02:50:45 - mmengine - INFO - Epoch(train) [224][ 480/1879] lr: 5.2728e-03 eta: 8:49:06 time: 0.5349 data_time: 0.0343 memory: 18104 grad_norm: 6.5287 loss: 2.4568 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4511 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 1.0057 2023/02/03 02:50:55 - mmengine - INFO - Epoch(train) [224][ 500/1879] lr: 5.2694e-03 eta: 8:48:56 time: 0.5201 data_time: 0.0395 memory: 18104 grad_norm: 6.5485 loss: 2.4697 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3575 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.1122 2023/02/03 02:51:05 - mmengine - INFO - Epoch(train) [224][ 520/1879] lr: 5.2661e-03 eta: 8:48:46 time: 0.5078 data_time: 0.0365 memory: 18104 grad_norm: 6.5821 loss: 2.4338 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 1.3645 top1_acc_1: 0.7412 top5_acc_1: 0.8353 loss_cls_1: 1.0693 2023/02/03 02:51:16 - mmengine - INFO - Epoch(train) [224][ 540/1879] lr: 5.2627e-03 eta: 8:48:36 time: 0.5307 data_time: 0.0312 memory: 18104 grad_norm: 6.4414 loss: 2.4639 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.3998 top1_acc_1: 0.8471 top5_acc_1: 0.9647 loss_cls_1: 1.0641 2023/02/03 02:51:26 - mmengine - INFO - Epoch(train) [224][ 560/1879] lr: 5.2593e-03 eta: 8:48:25 time: 0.5123 data_time: 0.0361 memory: 18104 grad_norm: 6.6040 loss: 2.3464 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2433 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.1031 2023/02/03 02:51:37 - mmengine - INFO - Epoch(train) [224][ 580/1879] lr: 5.2560e-03 eta: 8:48:15 time: 0.5260 data_time: 0.0407 memory: 18104 grad_norm: 6.6046 loss: 2.4838 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4538 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.0300 2023/02/03 02:51:47 - mmengine - INFO - Epoch(train) [224][ 600/1879] lr: 5.2526e-03 eta: 8:48:05 time: 0.5165 data_time: 0.0358 memory: 18104 grad_norm: 6.2410 loss: 2.4062 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.3402 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.0660 2023/02/03 02:51:58 - mmengine - INFO - Epoch(train) [224][ 620/1879] lr: 5.2493e-03 eta: 8:47:55 time: 0.5285 data_time: 0.0328 memory: 18104 grad_norm: 6.4086 loss: 2.3686 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2411 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.1275 2023/02/03 02:52:08 - mmengine - INFO - Epoch(train) [224][ 640/1879] lr: 5.2459e-03 eta: 8:47:44 time: 0.5317 data_time: 0.0422 memory: 18104 grad_norm: 6.4777 loss: 2.5564 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.4576 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 1.0988 2023/02/03 02:52:19 - mmengine - INFO - Epoch(train) [224][ 660/1879] lr: 5.2425e-03 eta: 8:47:34 time: 0.5284 data_time: 0.0323 memory: 18104 grad_norm: 6.4710 loss: 2.3944 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3550 top1_acc_1: 0.8471 top5_acc_1: 0.9765 loss_cls_1: 1.0394 2023/02/03 02:52:30 - mmengine - INFO - Epoch(train) [224][ 680/1879] lr: 5.2392e-03 eta: 8:47:24 time: 0.5320 data_time: 0.0342 memory: 18104 grad_norm: 6.2868 loss: 2.3032 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3186 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.9846 2023/02/03 02:52:40 - mmengine - INFO - Epoch(train) [224][ 700/1879] lr: 5.2358e-03 eta: 8:47:14 time: 0.5271 data_time: 0.0354 memory: 18104 grad_norm: 6.4721 loss: 2.5244 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4036 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.1207 2023/02/03 02:52:51 - mmengine - INFO - Epoch(train) [224][ 720/1879] lr: 5.2325e-03 eta: 8:47:04 time: 0.5228 data_time: 0.0371 memory: 18104 grad_norm: 6.5542 loss: 2.6230 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.6120 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.0111 2023/02/03 02:53:01 - mmengine - INFO - Epoch(train) [224][ 740/1879] lr: 5.2291e-03 eta: 8:46:53 time: 0.5162 data_time: 0.0309 memory: 18104 grad_norm: 6.4960 loss: 2.6263 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5650 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.0613 2023/02/03 02:53:12 - mmengine - INFO - Epoch(train) [224][ 760/1879] lr: 5.2258e-03 eta: 8:46:43 time: 0.5340 data_time: 0.0354 memory: 18104 grad_norm: 6.5781 loss: 2.5223 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5377 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 0.9847 2023/02/03 02:53:22 - mmengine - INFO - Epoch(train) [224][ 780/1879] lr: 5.2224e-03 eta: 8:46:33 time: 0.5210 data_time: 0.0380 memory: 18104 grad_norm: 6.7968 loss: 2.4242 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.3996 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.0246 2023/02/03 02:53:33 - mmengine - INFO - Epoch(train) [224][ 800/1879] lr: 5.2191e-03 eta: 8:46:23 time: 0.5242 data_time: 0.0346 memory: 18104 grad_norm: 6.4328 loss: 2.3605 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3077 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.0527 2023/02/03 02:53:43 - mmengine - INFO - Epoch(train) [224][ 820/1879] lr: 5.2157e-03 eta: 8:46:12 time: 0.5111 data_time: 0.0306 memory: 18104 grad_norm: 6.4984 loss: 2.3168 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2243 top1_acc_1: 0.7059 top5_acc_1: 0.9412 loss_cls_1: 1.0924 2023/02/03 02:53:54 - mmengine - INFO - Epoch(train) [224][ 840/1879] lr: 5.2124e-03 eta: 8:46:02 time: 0.5421 data_time: 0.0402 memory: 18104 grad_norm: 6.2889 loss: 2.3296 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2231 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.1065 2023/02/03 02:54:04 - mmengine - INFO - Epoch(train) [224][ 860/1879] lr: 5.2090e-03 eta: 8:45:52 time: 0.5144 data_time: 0.0306 memory: 18104 grad_norm: 6.4343 loss: 2.3437 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3706 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 0.9731 2023/02/03 02:54:15 - mmengine - INFO - Epoch(train) [224][ 880/1879] lr: 5.2057e-03 eta: 8:45:42 time: 0.5187 data_time: 0.0353 memory: 18104 grad_norm: 6.4702 loss: 2.5465 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.5313 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 1.0152 2023/02/03 02:54:25 - mmengine - INFO - Epoch(train) [224][ 900/1879] lr: 5.2023e-03 eta: 8:45:32 time: 0.5366 data_time: 0.0385 memory: 18104 grad_norm: 6.5280 loss: 2.4654 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.4172 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.0483 2023/02/03 02:54:36 - mmengine - INFO - Epoch(train) [224][ 920/1879] lr: 5.1990e-03 eta: 8:45:22 time: 0.5217 data_time: 0.0342 memory: 18104 grad_norm: 6.3544 loss: 2.3522 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.3381 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.0142 2023/02/03 02:54:46 - mmengine - INFO - Epoch(train) [224][ 940/1879] lr: 5.1956e-03 eta: 8:45:11 time: 0.5239 data_time: 0.0333 memory: 18104 grad_norm: 6.6545 loss: 2.5134 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4303 top1_acc_1: 0.8118 top5_acc_1: 0.9647 loss_cls_1: 1.0831 2023/02/03 02:54:57 - mmengine - INFO - Epoch(train) [224][ 960/1879] lr: 5.1923e-03 eta: 8:45:01 time: 0.5275 data_time: 0.0346 memory: 18104 grad_norm: 6.3949 loss: 2.3527 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.3018 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.0509 2023/02/03 02:55:08 - mmengine - INFO - Epoch(train) [224][ 980/1879] lr: 5.1890e-03 eta: 8:44:51 time: 0.5380 data_time: 0.0404 memory: 18104 grad_norm: 6.6755 loss: 2.2578 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2535 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 1.0043 2023/02/03 02:55:09 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 02:55:18 - mmengine - INFO - Epoch(train) [224][1000/1879] lr: 5.1856e-03 eta: 8:44:41 time: 0.5179 data_time: 0.0381 memory: 18104 grad_norm: 6.5191 loss: 2.4746 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.4419 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.0327 2023/02/03 02:55:28 - mmengine - INFO - Epoch(train) [224][1020/1879] lr: 5.1823e-03 eta: 8:44:31 time: 0.5208 data_time: 0.0325 memory: 18104 grad_norm: 6.6650 loss: 2.4801 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4305 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0496 2023/02/03 02:55:39 - mmengine - INFO - Epoch(train) [224][1040/1879] lr: 5.1789e-03 eta: 8:44:20 time: 0.5223 data_time: 0.0440 memory: 18104 grad_norm: 6.6406 loss: 2.6209 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.5064 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.1145 2023/02/03 02:55:49 - mmengine - INFO - Epoch(train) [224][1060/1879] lr: 5.1756e-03 eta: 8:44:10 time: 0.5205 data_time: 0.0353 memory: 18104 grad_norm: 6.6189 loss: 2.4141 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3065 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.1075 2023/02/03 02:56:00 - mmengine - INFO - Epoch(train) [224][1080/1879] lr: 5.1723e-03 eta: 8:44:00 time: 0.5181 data_time: 0.0367 memory: 18104 grad_norm: 6.3618 loss: 2.2370 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1600 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0769 2023/02/03 02:56:10 - mmengine - INFO - Epoch(train) [224][1100/1879] lr: 5.1689e-03 eta: 8:43:49 time: 0.5200 data_time: 0.0379 memory: 18104 grad_norm: 6.6208 loss: 2.4416 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4072 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 1.0344 2023/02/03 02:56:21 - mmengine - INFO - Epoch(train) [224][1120/1879] lr: 5.1656e-03 eta: 8:43:39 time: 0.5267 data_time: 0.0356 memory: 18104 grad_norm: 6.6197 loss: 2.5609 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.4604 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.1006 2023/02/03 02:56:31 - mmengine - INFO - Epoch(train) [224][1140/1879] lr: 5.1623e-03 eta: 8:43:29 time: 0.5183 data_time: 0.0315 memory: 18104 grad_norm: 6.4119 loss: 2.5911 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4919 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.0992 2023/02/03 02:56:42 - mmengine - INFO - Epoch(train) [224][1160/1879] lr: 5.1589e-03 eta: 8:43:19 time: 0.5364 data_time: 0.0352 memory: 18104 grad_norm: 6.4651 loss: 2.4590 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3950 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.0639 2023/02/03 02:56:52 - mmengine - INFO - Epoch(train) [224][1180/1879] lr: 5.1556e-03 eta: 8:43:09 time: 0.5278 data_time: 0.0396 memory: 18104 grad_norm: 6.6283 loss: 2.6372 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.5625 top1_acc_1: 0.7882 top5_acc_1: 0.8824 loss_cls_1: 1.0747 2023/02/03 02:57:03 - mmengine - INFO - Epoch(train) [224][1200/1879] lr: 5.1523e-03 eta: 8:42:58 time: 0.5159 data_time: 0.0391 memory: 18104 grad_norm: 6.5540 loss: 2.5481 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.5067 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.0414 2023/02/03 02:57:13 - mmengine - INFO - Epoch(train) [224][1220/1879] lr: 5.1489e-03 eta: 8:42:48 time: 0.5157 data_time: 0.0341 memory: 18104 grad_norm: 6.6387 loss: 2.4754 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3793 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 1.0960 2023/02/03 02:57:23 - mmengine - INFO - Epoch(train) [224][1240/1879] lr: 5.1456e-03 eta: 8:42:38 time: 0.5179 data_time: 0.0366 memory: 18104 grad_norm: 6.5894 loss: 2.4724 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 1.4023 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 1.0700 2023/02/03 02:57:34 - mmengine - INFO - Epoch(train) [224][1260/1879] lr: 5.1423e-03 eta: 8:42:28 time: 0.5202 data_time: 0.0304 memory: 18104 grad_norm: 6.5086 loss: 2.4739 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3932 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0806 2023/02/03 02:57:44 - mmengine - INFO - Epoch(train) [224][1280/1879] lr: 5.1390e-03 eta: 8:42:17 time: 0.5141 data_time: 0.0354 memory: 18104 grad_norm: 6.4397 loss: 2.5566 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4654 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.0912 2023/02/03 02:57:55 - mmengine - INFO - Epoch(train) [224][1300/1879] lr: 5.1356e-03 eta: 8:42:07 time: 0.5179 data_time: 0.0332 memory: 18104 grad_norm: 6.5515 loss: 2.5836 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5349 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 1.0487 2023/02/03 02:58:05 - mmengine - INFO - Epoch(train) [224][1320/1879] lr: 5.1323e-03 eta: 8:41:57 time: 0.5178 data_time: 0.0373 memory: 18104 grad_norm: 6.6480 loss: 2.3700 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2819 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 1.0881 2023/02/03 02:58:15 - mmengine - INFO - Epoch(train) [224][1340/1879] lr: 5.1290e-03 eta: 8:41:46 time: 0.5229 data_time: 0.0320 memory: 18104 grad_norm: 6.5072 loss: 2.4698 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4314 top1_acc_1: 0.7765 top5_acc_1: 0.8706 loss_cls_1: 1.0383 2023/02/03 02:58:26 - mmengine - INFO - Epoch(train) [224][1360/1879] lr: 5.1257e-03 eta: 8:41:36 time: 0.5185 data_time: 0.0350 memory: 18104 grad_norm: 6.6232 loss: 2.3256 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3459 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 0.9797 2023/02/03 02:58:36 - mmengine - INFO - Epoch(train) [224][1380/1879] lr: 5.1223e-03 eta: 8:41:26 time: 0.5153 data_time: 0.0396 memory: 18104 grad_norm: 6.6614 loss: 2.3867 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.2990 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.0878 2023/02/03 02:58:46 - mmengine - INFO - Epoch(train) [224][1400/1879] lr: 5.1190e-03 eta: 8:41:15 time: 0.5099 data_time: 0.0355 memory: 18104 grad_norm: 6.3840 loss: 2.5427 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.5137 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.0290 2023/02/03 02:58:57 - mmengine - INFO - Epoch(train) [224][1420/1879] lr: 5.1157e-03 eta: 8:41:05 time: 0.5371 data_time: 0.0313 memory: 18104 grad_norm: 6.6150 loss: 2.3743 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3673 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.0070 2023/02/03 02:59:07 - mmengine - INFO - Epoch(train) [224][1440/1879] lr: 5.1124e-03 eta: 8:40:55 time: 0.5063 data_time: 0.0370 memory: 18104 grad_norm: 6.5141 loss: 2.6786 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.5634 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.1153 2023/02/03 02:59:17 - mmengine - INFO - Epoch(train) [224][1460/1879] lr: 5.1091e-03 eta: 8:40:44 time: 0.5074 data_time: 0.0319 memory: 18104 grad_norm: 6.5712 loss: 2.4573 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.4669 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9904 2023/02/03 02:59:28 - mmengine - INFO - Epoch(train) [224][1480/1879] lr: 5.1057e-03 eta: 8:40:34 time: 0.5301 data_time: 0.0351 memory: 18104 grad_norm: 6.4687 loss: 2.5175 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4893 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.0282 2023/02/03 02:59:38 - mmengine - INFO - Epoch(train) [224][1500/1879] lr: 5.1024e-03 eta: 8:40:24 time: 0.5036 data_time: 0.0328 memory: 18104 grad_norm: 6.5201 loss: 2.3212 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.3283 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 0.9929 2023/02/03 02:59:48 - mmengine - INFO - Epoch(train) [224][1520/1879] lr: 5.0991e-03 eta: 8:40:13 time: 0.5100 data_time: 0.0368 memory: 18104 grad_norm: 6.4551 loss: 2.4228 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.3101 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 1.1127 2023/02/03 02:59:59 - mmengine - INFO - Epoch(train) [224][1540/1879] lr: 5.0958e-03 eta: 8:40:03 time: 0.5104 data_time: 0.0339 memory: 18104 grad_norm: 6.4589 loss: 2.5375 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5217 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.0159 2023/02/03 03:00:09 - mmengine - INFO - Epoch(train) [224][1560/1879] lr: 5.0925e-03 eta: 8:39:53 time: 0.5277 data_time: 0.0385 memory: 18104 grad_norm: 6.5399 loss: 2.4341 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4067 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.0274 2023/02/03 03:00:20 - mmengine - INFO - Epoch(train) [224][1580/1879] lr: 5.0892e-03 eta: 8:39:43 time: 0.5191 data_time: 0.0324 memory: 18104 grad_norm: 6.4979 loss: 2.3243 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.3088 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 1.0156 2023/02/03 03:00:30 - mmengine - INFO - Epoch(train) [224][1600/1879] lr: 5.0859e-03 eta: 8:39:32 time: 0.5281 data_time: 0.0357 memory: 18104 grad_norm: 6.6028 loss: 2.6274 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5803 top1_acc_1: 0.8471 top5_acc_1: 0.9412 loss_cls_1: 1.0471 2023/02/03 03:00:41 - mmengine - INFO - Epoch(train) [224][1620/1879] lr: 5.0826e-03 eta: 8:39:22 time: 0.5288 data_time: 0.0338 memory: 18104 grad_norm: 6.4867 loss: 2.4025 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.3715 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.0310 2023/02/03 03:00:51 - mmengine - INFO - Epoch(train) [224][1640/1879] lr: 5.0793e-03 eta: 8:39:12 time: 0.5290 data_time: 0.0411 memory: 18104 grad_norm: 6.5291 loss: 2.5091 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.4840 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.0251 2023/02/03 03:01:02 - mmengine - INFO - Epoch(train) [224][1660/1879] lr: 5.0759e-03 eta: 8:39:02 time: 0.5331 data_time: 0.0325 memory: 18104 grad_norm: 6.6095 loss: 2.3477 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.2576 top1_acc_1: 0.6235 top5_acc_1: 0.8706 loss_cls_1: 1.0900 2023/02/03 03:01:13 - mmengine - INFO - Epoch(train) [224][1680/1879] lr: 5.0726e-03 eta: 8:38:52 time: 0.5486 data_time: 0.0358 memory: 18104 grad_norm: 6.6224 loss: 2.6489 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.5355 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.1134 2023/02/03 03:01:24 - mmengine - INFO - Epoch(train) [224][1700/1879] lr: 5.0693e-03 eta: 8:38:42 time: 0.5237 data_time: 0.0305 memory: 18104 grad_norm: 6.5289 loss: 2.5000 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.3910 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.1090 2023/02/03 03:01:34 - mmengine - INFO - Epoch(train) [224][1720/1879] lr: 5.0660e-03 eta: 8:38:32 time: 0.5374 data_time: 0.0422 memory: 18104 grad_norm: 6.7103 loss: 2.5042 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4156 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.0886 2023/02/03 03:01:46 - mmengine - INFO - Epoch(train) [224][1740/1879] lr: 5.0627e-03 eta: 8:38:22 time: 0.5651 data_time: 0.0324 memory: 18104 grad_norm: 6.5692 loss: 2.6776 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.5730 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.1047 2023/02/03 03:01:56 - mmengine - INFO - Epoch(train) [224][1760/1879] lr: 5.0594e-03 eta: 8:38:12 time: 0.5311 data_time: 0.0366 memory: 18104 grad_norm: 6.5428 loss: 2.6273 top1_acc_0: 0.5000 top5_acc_0: 1.0000 loss_cls_0: 1.4933 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.1340 2023/02/03 03:02:07 - mmengine - INFO - Epoch(train) [224][1780/1879] lr: 5.0561e-03 eta: 8:38:02 time: 0.5360 data_time: 0.0394 memory: 18104 grad_norm: 6.5869 loss: 2.5185 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.4558 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.0627 2023/02/03 03:02:18 - mmengine - INFO - Epoch(train) [224][1800/1879] lr: 5.0528e-03 eta: 8:37:52 time: 0.5560 data_time: 0.0357 memory: 18104 grad_norm: 6.5274 loss: 2.2493 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2312 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.0181 2023/02/03 03:02:29 - mmengine - INFO - Epoch(train) [224][1820/1879] lr: 5.0495e-03 eta: 8:37:42 time: 0.5424 data_time: 0.0324 memory: 18104 grad_norm: 6.5770 loss: 2.4288 top1_acc_0: 0.3750 top5_acc_0: 0.5625 loss_cls_0: 1.4094 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.0194 2023/02/03 03:02:40 - mmengine - INFO - Epoch(train) [224][1840/1879] lr: 5.0462e-03 eta: 8:37:32 time: 0.5234 data_time: 0.0337 memory: 18104 grad_norm: 6.6232 loss: 2.2918 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2607 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 1.0311 2023/02/03 03:02:51 - mmengine - INFO - Epoch(train) [224][1860/1879] lr: 5.0429e-03 eta: 8:37:22 time: 0.5567 data_time: 0.0313 memory: 18104 grad_norm: 6.6767 loss: 2.6448 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5439 top1_acc_1: 0.8235 top5_acc_1: 0.9059 loss_cls_1: 1.1009 2023/02/03 03:03:01 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 03:03:01 - mmengine - INFO - Epoch(train) [224][1879/1879] lr: 5.0398e-03 eta: 8:37:12 time: 0.5274 data_time: 0.0319 memory: 18104 grad_norm: 6.7433 loss: 2.4985 top1_acc_0: 0.7143 top5_acc_0: 0.7143 loss_cls_0: 1.4853 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.0132 2023/02/03 03:03:01 - mmengine - INFO - Saving checkpoint at 224 epochs 2023/02/03 03:03:12 - mmengine - INFO - Epoch(val) [224][ 20/155] eta: 0:01:02 time: 0.4606 data_time: 0.3477 memory: 1900 2023/02/03 03:03:21 - mmengine - INFO - Epoch(val) [224][ 40/155] eta: 0:00:52 time: 0.4440 data_time: 0.3314 memory: 1900 2023/02/03 03:03:30 - mmengine - INFO - Epoch(val) [224][ 60/155] eta: 0:00:42 time: 0.4258 data_time: 0.3140 memory: 1900 2023/02/03 03:03:39 - mmengine - INFO - Epoch(val) [224][ 80/155] eta: 0:00:33 time: 0.4625 data_time: 0.3507 memory: 1900 2023/02/03 03:03:48 - mmengine - INFO - Epoch(val) [224][100/155] eta: 0:00:24 time: 0.4440 data_time: 0.3320 memory: 1900 2023/02/03 03:03:57 - mmengine - INFO - Epoch(val) [224][120/155] eta: 0:00:15 time: 0.4608 data_time: 0.3493 memory: 1900 2023/02/03 03:04:06 - mmengine - INFO - Epoch(val) [224][140/155] eta: 0:00:06 time: 0.4394 data_time: 0.3283 memory: 1900 2023/02/03 03:04:13 - mmengine - INFO - Epoch(val) [224][155/155] acc/top1: 0.6707 acc/top5: 0.8687 acc/mean1: 0.6705 2023/02/03 03:04:13 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_220.pth is removed 2023/02/03 03:04:16 - mmengine - INFO - The best checkpoint with 0.6707 acc/top1 at 224 epoch is saved to best_acc/top1_epoch_224.pth. 2023/02/03 03:04:30 - mmengine - INFO - Epoch(train) [225][ 20/1879] lr: 5.0365e-03 eta: 8:37:04 time: 0.7072 data_time: 0.2364 memory: 18104 grad_norm: 6.7959 loss: 2.4823 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.3782 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.1041 2023/02/03 03:04:39 - mmengine - INFO - Epoch(train) [225][ 40/1879] lr: 5.0332e-03 eta: 8:36:54 time: 0.4835 data_time: 0.0351 memory: 18104 grad_norm: 6.5667 loss: 2.2620 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2665 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9955 2023/02/03 03:04:50 - mmengine - INFO - Epoch(train) [225][ 60/1879] lr: 5.0299e-03 eta: 8:36:43 time: 0.5365 data_time: 0.0337 memory: 18104 grad_norm: 6.5583 loss: 2.2978 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2058 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0920 2023/02/03 03:05:01 - mmengine - INFO - Epoch(train) [225][ 80/1879] lr: 5.0266e-03 eta: 8:36:33 time: 0.5175 data_time: 0.0422 memory: 18104 grad_norm: 6.4422 loss: 2.4911 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.4190 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 1.0721 2023/02/03 03:05:11 - mmengine - INFO - Epoch(train) [225][ 100/1879] lr: 5.0233e-03 eta: 8:36:23 time: 0.5104 data_time: 0.0363 memory: 18104 grad_norm: 6.5242 loss: 2.5122 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.5084 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 1.0038 2023/02/03 03:05:13 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 03:05:21 - mmengine - INFO - Epoch(train) [225][ 120/1879] lr: 5.0201e-03 eta: 8:36:12 time: 0.4883 data_time: 0.0316 memory: 18104 grad_norm: 6.4706 loss: 2.5498 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.4492 top1_acc_1: 0.6706 top5_acc_1: 0.8235 loss_cls_1: 1.1006 2023/02/03 03:05:31 - mmengine - INFO - Epoch(train) [225][ 140/1879] lr: 5.0168e-03 eta: 8:36:02 time: 0.5354 data_time: 0.0441 memory: 18104 grad_norm: 6.6213 loss: 2.5837 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.5362 top1_acc_1: 0.8118 top5_acc_1: 0.8941 loss_cls_1: 1.0474 2023/02/03 03:05:41 - mmengine - INFO - Epoch(train) [225][ 160/1879] lr: 5.0135e-03 eta: 8:35:52 time: 0.5062 data_time: 0.0318 memory: 18104 grad_norm: 6.5949 loss: 2.4502 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4340 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.0161 2023/02/03 03:05:52 - mmengine - INFO - Epoch(train) [225][ 180/1879] lr: 5.0102e-03 eta: 8:35:41 time: 0.5045 data_time: 0.0374 memory: 18104 grad_norm: 6.7039 loss: 2.5584 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.5614 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9970 2023/02/03 03:06:02 - mmengine - INFO - Epoch(train) [225][ 200/1879] lr: 5.0069e-03 eta: 8:35:31 time: 0.5068 data_time: 0.0316 memory: 18104 grad_norm: 6.5034 loss: 2.6423 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.6123 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.0300 2023/02/03 03:06:12 - mmengine - INFO - Epoch(train) [225][ 220/1879] lr: 5.0036e-03 eta: 8:35:20 time: 0.5175 data_time: 0.0431 memory: 18104 grad_norm: 6.5680 loss: 2.4591 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3717 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 1.0874 2023/02/03 03:06:22 - mmengine - INFO - Epoch(train) [225][ 240/1879] lr: 5.0003e-03 eta: 8:35:10 time: 0.4900 data_time: 0.0341 memory: 18104 grad_norm: 6.5061 loss: 2.4188 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2706 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 1.1483 2023/02/03 03:06:32 - mmengine - INFO - Epoch(train) [225][ 260/1879] lr: 4.9971e-03 eta: 8:34:59 time: 0.5125 data_time: 0.0361 memory: 18104 grad_norm: 6.5563 loss: 2.7045 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.5352 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 1.1693 2023/02/03 03:06:42 - mmengine - INFO - Epoch(train) [225][ 280/1879] lr: 4.9938e-03 eta: 8:34:49 time: 0.5086 data_time: 0.0317 memory: 18104 grad_norm: 6.3600 loss: 2.3701 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.3134 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.0567 2023/02/03 03:06:53 - mmengine - INFO - Epoch(train) [225][ 300/1879] lr: 4.9905e-03 eta: 8:34:38 time: 0.5066 data_time: 0.0362 memory: 18104 grad_norm: 6.6817 loss: 2.6436 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5376 top1_acc_1: 0.7176 top5_acc_1: 0.9765 loss_cls_1: 1.1060 2023/02/03 03:07:02 - mmengine - INFO - Epoch(train) [225][ 320/1879] lr: 4.9872e-03 eta: 8:34:28 time: 0.4926 data_time: 0.0309 memory: 18104 grad_norm: 6.4871 loss: 2.3680 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3097 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.0583 2023/02/03 03:07:13 - mmengine - INFO - Epoch(train) [225][ 340/1879] lr: 4.9839e-03 eta: 8:34:18 time: 0.5194 data_time: 0.0354 memory: 18104 grad_norm: 6.5122 loss: 2.4220 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3189 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.1031 2023/02/03 03:07:23 - mmengine - INFO - Epoch(train) [225][ 360/1879] lr: 4.9807e-03 eta: 8:34:07 time: 0.4991 data_time: 0.0415 memory: 18104 grad_norm: 6.4620 loss: 2.5084 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4147 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.0937 2023/02/03 03:07:33 - mmengine - INFO - Epoch(train) [225][ 380/1879] lr: 4.9774e-03 eta: 8:33:57 time: 0.5052 data_time: 0.0368 memory: 18104 grad_norm: 6.4629 loss: 2.5418 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5085 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.0333 2023/02/03 03:07:43 - mmengine - INFO - Epoch(train) [225][ 400/1879] lr: 4.9741e-03 eta: 8:33:46 time: 0.5034 data_time: 0.0341 memory: 18104 grad_norm: 6.5634 loss: 2.4656 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.4308 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.0348 2023/02/03 03:07:54 - mmengine - INFO - Epoch(train) [225][ 420/1879] lr: 4.9708e-03 eta: 8:33:36 time: 0.5205 data_time: 0.0353 memory: 18104 grad_norm: 6.5390 loss: 2.3264 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.2698 top1_acc_1: 0.5647 top5_acc_1: 0.8706 loss_cls_1: 1.0565 2023/02/03 03:08:04 - mmengine - INFO - Epoch(train) [225][ 440/1879] lr: 4.9676e-03 eta: 8:33:25 time: 0.5108 data_time: 0.0395 memory: 18104 grad_norm: 6.6525 loss: 2.4259 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.4912 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 0.9346 2023/02/03 03:08:14 - mmengine - INFO - Epoch(train) [225][ 460/1879] lr: 4.9643e-03 eta: 8:33:15 time: 0.5192 data_time: 0.0352 memory: 18104 grad_norm: 6.4300 loss: 2.2586 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2552 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 1.0035 2023/02/03 03:08:25 - mmengine - INFO - Epoch(train) [225][ 480/1879] lr: 4.9610e-03 eta: 8:33:05 time: 0.5217 data_time: 0.0338 memory: 18104 grad_norm: 6.4978 loss: 2.4625 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4587 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.0037 2023/02/03 03:08:35 - mmengine - INFO - Epoch(train) [225][ 500/1879] lr: 4.9577e-03 eta: 8:32:55 time: 0.5195 data_time: 0.0359 memory: 18104 grad_norm: 6.5033 loss: 2.5953 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5843 top1_acc_1: 0.7647 top5_acc_1: 0.8588 loss_cls_1: 1.0110 2023/02/03 03:08:45 - mmengine - INFO - Epoch(train) [225][ 520/1879] lr: 4.9545e-03 eta: 8:32:44 time: 0.5091 data_time: 0.0332 memory: 18104 grad_norm: 6.5857 loss: 2.6416 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 1.6098 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 1.0318 2023/02/03 03:08:56 - mmengine - INFO - Epoch(train) [225][ 540/1879] lr: 4.9512e-03 eta: 8:32:34 time: 0.5212 data_time: 0.0380 memory: 18104 grad_norm: 6.5175 loss: 2.6629 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.5590 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.1039 2023/02/03 03:09:06 - mmengine - INFO - Epoch(train) [225][ 560/1879] lr: 4.9479e-03 eta: 8:32:24 time: 0.5129 data_time: 0.0313 memory: 18104 grad_norm: 6.6397 loss: 2.3974 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3350 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.0624 2023/02/03 03:09:17 - mmengine - INFO - Epoch(train) [225][ 580/1879] lr: 4.9447e-03 eta: 8:32:13 time: 0.5275 data_time: 0.0378 memory: 18104 grad_norm: 6.5058 loss: 2.4126 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3190 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.0936 2023/02/03 03:09:27 - mmengine - INFO - Epoch(train) [225][ 600/1879] lr: 4.9414e-03 eta: 8:32:03 time: 0.5027 data_time: 0.0325 memory: 18104 grad_norm: 6.5920 loss: 2.3905 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.2485 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.1420 2023/02/03 03:09:37 - mmengine - INFO - Epoch(train) [225][ 620/1879] lr: 4.9381e-03 eta: 8:31:53 time: 0.5178 data_time: 0.0368 memory: 18104 grad_norm: 6.4892 loss: 2.6576 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.6244 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 1.0332 2023/02/03 03:09:47 - mmengine - INFO - Epoch(train) [225][ 640/1879] lr: 4.9349e-03 eta: 8:31:42 time: 0.5073 data_time: 0.0350 memory: 18104 grad_norm: 6.7651 loss: 2.5021 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.5121 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9900 2023/02/03 03:09:58 - mmengine - INFO - Epoch(train) [225][ 660/1879] lr: 4.9316e-03 eta: 8:31:32 time: 0.5301 data_time: 0.0378 memory: 18104 grad_norm: 6.5547 loss: 2.4251 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.3723 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 1.0529 2023/02/03 03:10:08 - mmengine - INFO - Epoch(train) [225][ 680/1879] lr: 4.9284e-03 eta: 8:31:22 time: 0.5137 data_time: 0.0317 memory: 18104 grad_norm: 6.6298 loss: 2.4948 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 1.4627 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.0321 2023/02/03 03:10:18 - mmengine - INFO - Epoch(train) [225][ 700/1879] lr: 4.9251e-03 eta: 8:31:11 time: 0.5115 data_time: 0.0371 memory: 18104 grad_norm: 6.4500 loss: 2.3989 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3831 top1_acc_1: 0.7529 top5_acc_1: 0.9765 loss_cls_1: 1.0158 2023/02/03 03:10:29 - mmengine - INFO - Epoch(train) [225][ 720/1879] lr: 4.9218e-03 eta: 8:31:01 time: 0.5182 data_time: 0.0396 memory: 18104 grad_norm: 6.5886 loss: 2.4526 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3477 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.1049 2023/02/03 03:10:39 - mmengine - INFO - Epoch(train) [225][ 740/1879] lr: 4.9186e-03 eta: 8:30:51 time: 0.5220 data_time: 0.0341 memory: 18104 grad_norm: 6.5754 loss: 2.3775 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3443 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.0333 2023/02/03 03:10:50 - mmengine - INFO - Epoch(train) [225][ 760/1879] lr: 4.9153e-03 eta: 8:30:40 time: 0.5140 data_time: 0.0323 memory: 18104 grad_norm: 6.5811 loss: 2.4373 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3955 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.0417 2023/02/03 03:11:00 - mmengine - INFO - Epoch(train) [225][ 780/1879] lr: 4.9121e-03 eta: 8:30:30 time: 0.5194 data_time: 0.0360 memory: 18104 grad_norm: 6.5550 loss: 2.4423 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3961 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.0462 2023/02/03 03:11:10 - mmengine - INFO - Epoch(train) [225][ 800/1879] lr: 4.9088e-03 eta: 8:30:20 time: 0.5105 data_time: 0.0380 memory: 18104 grad_norm: 6.6413 loss: 2.8974 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.8415 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.0559 2023/02/03 03:11:21 - mmengine - INFO - Epoch(train) [225][ 820/1879] lr: 4.9056e-03 eta: 8:30:09 time: 0.5196 data_time: 0.0369 memory: 18104 grad_norm: 6.5295 loss: 2.4308 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.3931 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.0377 2023/02/03 03:11:31 - mmengine - INFO - Epoch(train) [225][ 840/1879] lr: 4.9023e-03 eta: 8:29:59 time: 0.5038 data_time: 0.0318 memory: 18104 grad_norm: 6.6158 loss: 2.5482 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4870 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.0612 2023/02/03 03:11:41 - mmengine - INFO - Epoch(train) [225][ 860/1879] lr: 4.8991e-03 eta: 8:29:49 time: 0.5269 data_time: 0.0374 memory: 18104 grad_norm: 6.5225 loss: 2.4708 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4174 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 1.0534 2023/02/03 03:11:52 - mmengine - INFO - Epoch(train) [225][ 880/1879] lr: 4.8958e-03 eta: 8:29:38 time: 0.5171 data_time: 0.0315 memory: 18104 grad_norm: 6.5711 loss: 2.5742 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4522 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.1220 2023/02/03 03:12:02 - mmengine - INFO - Epoch(train) [225][ 900/1879] lr: 4.8926e-03 eta: 8:29:28 time: 0.5127 data_time: 0.0355 memory: 18104 grad_norm: 6.7520 loss: 2.4053 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.2980 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.1074 2023/02/03 03:12:12 - mmengine - INFO - Epoch(train) [225][ 920/1879] lr: 4.8893e-03 eta: 8:29:18 time: 0.5114 data_time: 0.0350 memory: 18104 grad_norm: 6.5947 loss: 2.4832 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.4427 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 1.0406 2023/02/03 03:12:23 - mmengine - INFO - Epoch(train) [225][ 940/1879] lr: 4.8861e-03 eta: 8:29:08 time: 0.5221 data_time: 0.0356 memory: 18104 grad_norm: 6.4206 loss: 2.4740 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4290 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0450 2023/02/03 03:12:33 - mmengine - INFO - Epoch(train) [225][ 960/1879] lr: 4.8828e-03 eta: 8:28:57 time: 0.5093 data_time: 0.0331 memory: 18104 grad_norm: 6.5224 loss: 2.4193 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.3575 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.0618 2023/02/03 03:12:43 - mmengine - INFO - Epoch(train) [225][ 980/1879] lr: 4.8796e-03 eta: 8:28:47 time: 0.5208 data_time: 0.0349 memory: 18104 grad_norm: 6.5464 loss: 2.3865 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3964 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 0.9901 2023/02/03 03:12:54 - mmengine - INFO - Epoch(train) [225][1000/1879] lr: 4.8763e-03 eta: 8:28:37 time: 0.5351 data_time: 0.0319 memory: 18104 grad_norm: 6.5479 loss: 2.3416 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2537 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.0879 2023/02/03 03:13:04 - mmengine - INFO - Epoch(train) [225][1020/1879] lr: 4.8731e-03 eta: 8:28:26 time: 0.5158 data_time: 0.0372 memory: 18104 grad_norm: 6.4914 loss: 2.4856 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.4594 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.0262 2023/02/03 03:13:15 - mmengine - INFO - Epoch(train) [225][1040/1879] lr: 4.8698e-03 eta: 8:28:16 time: 0.5307 data_time: 0.0302 memory: 18104 grad_norm: 6.6470 loss: 2.5171 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.4657 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.0514 2023/02/03 03:13:25 - mmengine - INFO - Epoch(train) [225][1060/1879] lr: 4.8666e-03 eta: 8:28:06 time: 0.5181 data_time: 0.0363 memory: 18104 grad_norm: 6.4933 loss: 2.3065 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.2423 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.0642 2023/02/03 03:13:36 - mmengine - INFO - Epoch(train) [225][1080/1879] lr: 4.8634e-03 eta: 8:27:56 time: 0.5291 data_time: 0.0361 memory: 18104 grad_norm: 6.6042 loss: 2.2896 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.2215 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.0681 2023/02/03 03:13:46 - mmengine - INFO - Epoch(train) [225][1100/1879] lr: 4.8601e-03 eta: 8:27:45 time: 0.5153 data_time: 0.0372 memory: 18104 grad_norm: 6.4719 loss: 2.5241 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.4464 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.0777 2023/02/03 03:13:48 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 03:13:57 - mmengine - INFO - Epoch(train) [225][1120/1879] lr: 4.8569e-03 eta: 8:27:35 time: 0.5211 data_time: 0.0287 memory: 18104 grad_norm: 6.4462 loss: 2.4312 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.4009 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.0303 2023/02/03 03:14:07 - mmengine - INFO - Epoch(train) [225][1140/1879] lr: 4.8536e-03 eta: 8:27:25 time: 0.5345 data_time: 0.0420 memory: 18104 grad_norm: 6.6008 loss: 2.3661 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.3675 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9986 2023/02/03 03:14:18 - mmengine - INFO - Epoch(train) [225][1160/1879] lr: 4.8504e-03 eta: 8:27:15 time: 0.5108 data_time: 0.0289 memory: 18104 grad_norm: 6.5338 loss: 2.3913 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 1.3552 top1_acc_1: 0.8353 top5_acc_1: 0.9765 loss_cls_1: 1.0362 2023/02/03 03:14:28 - mmengine - INFO - Epoch(train) [225][1180/1879] lr: 4.8472e-03 eta: 8:27:05 time: 0.5356 data_time: 0.0373 memory: 18104 grad_norm: 6.6074 loss: 2.4370 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 1.3738 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 1.0632 2023/02/03 03:14:39 - mmengine - INFO - Epoch(train) [225][1200/1879] lr: 4.8439e-03 eta: 8:26:54 time: 0.5211 data_time: 0.0296 memory: 18104 grad_norm: 6.5928 loss: 2.5934 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.5656 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.0279 2023/02/03 03:14:49 - mmengine - INFO - Epoch(train) [225][1220/1879] lr: 4.8407e-03 eta: 8:26:44 time: 0.5205 data_time: 0.0418 memory: 18104 grad_norm: 6.4738 loss: 2.5053 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.4459 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.0595 2023/02/03 03:15:00 - mmengine - INFO - Epoch(train) [225][1240/1879] lr: 4.8375e-03 eta: 8:26:34 time: 0.5246 data_time: 0.0314 memory: 18104 grad_norm: 6.7228 loss: 2.6420 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5147 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 1.1273 2023/02/03 03:15:11 - mmengine - INFO - Epoch(train) [225][1260/1879] lr: 4.8342e-03 eta: 8:26:24 time: 0.5381 data_time: 0.0389 memory: 18104 grad_norm: 6.7309 loss: 2.4563 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.4199 top1_acc_1: 0.8588 top5_acc_1: 0.9765 loss_cls_1: 1.0364 2023/02/03 03:15:21 - mmengine - INFO - Epoch(train) [225][1280/1879] lr: 4.8310e-03 eta: 8:26:14 time: 0.5196 data_time: 0.0370 memory: 18104 grad_norm: 6.5737 loss: 2.5274 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4487 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.0786 2023/02/03 03:15:32 - mmengine - INFO - Epoch(train) [225][1300/1879] lr: 4.8278e-03 eta: 8:26:03 time: 0.5283 data_time: 0.0383 memory: 18104 grad_norm: 6.5421 loss: 2.4833 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.3844 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.0989 2023/02/03 03:15:42 - mmengine - INFO - Epoch(train) [225][1320/1879] lr: 4.8245e-03 eta: 8:25:53 time: 0.5202 data_time: 0.0302 memory: 18104 grad_norm: 6.5882 loss: 2.4781 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.3842 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 1.0939 2023/02/03 03:15:52 - mmengine - INFO - Epoch(train) [225][1340/1879] lr: 4.8213e-03 eta: 8:25:43 time: 0.5201 data_time: 0.0382 memory: 18104 grad_norm: 6.6715 loss: 2.3425 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.2803 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.0622 2023/02/03 03:16:03 - mmengine - INFO - Epoch(train) [225][1360/1879] lr: 4.8181e-03 eta: 8:25:33 time: 0.5231 data_time: 0.0352 memory: 18104 grad_norm: 6.5975 loss: 2.4855 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3783 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.1072 2023/02/03 03:16:14 - mmengine - INFO - Epoch(train) [225][1380/1879] lr: 4.8149e-03 eta: 8:25:22 time: 0.5276 data_time: 0.0392 memory: 18104 grad_norm: 6.5258 loss: 2.3984 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.3788 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.0196 2023/02/03 03:16:24 - mmengine - INFO - Epoch(train) [225][1400/1879] lr: 4.8116e-03 eta: 8:25:12 time: 0.5215 data_time: 0.0288 memory: 18104 grad_norm: 6.4036 loss: 2.3884 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3329 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.0555 2023/02/03 03:16:35 - mmengine - INFO - Epoch(train) [225][1420/1879] lr: 4.8084e-03 eta: 8:25:02 time: 0.5423 data_time: 0.0429 memory: 18104 grad_norm: 6.6780 loss: 2.5146 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.4525 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.0621 2023/02/03 03:16:46 - mmengine - INFO - Epoch(train) [225][1440/1879] lr: 4.8052e-03 eta: 8:24:52 time: 0.5358 data_time: 0.0357 memory: 18104 grad_norm: 6.5812 loss: 2.3856 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3710 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.0146 2023/02/03 03:16:56 - mmengine - INFO - Epoch(train) [225][1460/1879] lr: 4.8020e-03 eta: 8:24:42 time: 0.5280 data_time: 0.0315 memory: 18104 grad_norm: 6.5705 loss: 2.4617 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4033 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.0584 2023/02/03 03:17:07 - mmengine - INFO - Epoch(train) [225][1480/1879] lr: 4.7988e-03 eta: 8:24:32 time: 0.5407 data_time: 0.0326 memory: 18104 grad_norm: 6.6051 loss: 2.4814 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4491 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.0323 2023/02/03 03:17:18 - mmengine - INFO - Epoch(train) [225][1500/1879] lr: 4.7955e-03 eta: 8:24:22 time: 0.5250 data_time: 0.0413 memory: 18104 grad_norm: 6.6770 loss: 2.4660 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3348 top1_acc_1: 0.8235 top5_acc_1: 0.9059 loss_cls_1: 1.1312 2023/02/03 03:17:28 - mmengine - INFO - Epoch(train) [225][1520/1879] lr: 4.7923e-03 eta: 8:24:11 time: 0.5338 data_time: 0.0330 memory: 18104 grad_norm: 6.6206 loss: 2.3939 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.3674 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.0265 2023/02/03 03:17:39 - mmengine - INFO - Epoch(train) [225][1540/1879] lr: 4.7891e-03 eta: 8:24:01 time: 0.5294 data_time: 0.0353 memory: 18104 grad_norm: 6.7072 loss: 2.4703 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.3990 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.0713 2023/02/03 03:17:50 - mmengine - INFO - Epoch(train) [225][1560/1879] lr: 4.7859e-03 eta: 8:23:51 time: 0.5361 data_time: 0.0405 memory: 18104 grad_norm: 6.7018 loss: 2.5592 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.4399 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.1193 2023/02/03 03:18:00 - mmengine - INFO - Epoch(train) [225][1580/1879] lr: 4.7827e-03 eta: 8:23:41 time: 0.5281 data_time: 0.0343 memory: 18104 grad_norm: 6.5611 loss: 2.4924 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.4115 top1_acc_1: 0.8118 top5_acc_1: 0.8824 loss_cls_1: 1.0808 2023/02/03 03:18:11 - mmengine - INFO - Epoch(train) [225][1600/1879] lr: 4.7795e-03 eta: 8:23:31 time: 0.5243 data_time: 0.0336 memory: 18104 grad_norm: 6.4651 loss: 2.3682 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.2723 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.0960 2023/02/03 03:18:22 - mmengine - INFO - Epoch(train) [225][1620/1879] lr: 4.7762e-03 eta: 8:23:21 time: 0.5455 data_time: 0.0411 memory: 18104 grad_norm: 6.6506 loss: 2.5975 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.5128 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.0847 2023/02/03 03:18:33 - mmengine - INFO - Epoch(train) [225][1640/1879] lr: 4.7730e-03 eta: 8:23:11 time: 0.5466 data_time: 0.0354 memory: 18104 grad_norm: 6.7448 loss: 2.3840 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3222 top1_acc_1: 0.8118 top5_acc_1: 0.9882 loss_cls_1: 1.0617 2023/02/03 03:18:43 - mmengine - INFO - Epoch(train) [225][1660/1879] lr: 4.7698e-03 eta: 8:23:01 time: 0.5176 data_time: 0.0339 memory: 18104 grad_norm: 6.7265 loss: 2.5549 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4656 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.0893 2023/02/03 03:18:54 - mmengine - INFO - Epoch(train) [225][1680/1879] lr: 4.7666e-03 eta: 8:22:50 time: 0.5409 data_time: 0.0465 memory: 18104 grad_norm: 6.7355 loss: 2.5017 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4246 top1_acc_1: 0.7647 top5_acc_1: 0.9647 loss_cls_1: 1.0771 2023/02/03 03:19:04 - mmengine - INFO - Epoch(train) [225][1700/1879] lr: 4.7634e-03 eta: 8:22:40 time: 0.5193 data_time: 0.0367 memory: 18104 grad_norm: 6.6240 loss: 2.2985 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2950 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.0035 2023/02/03 03:19:15 - mmengine - INFO - Epoch(train) [225][1720/1879] lr: 4.7602e-03 eta: 8:22:30 time: 0.5342 data_time: 0.0321 memory: 18104 grad_norm: 6.5435 loss: 2.2314 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1882 top1_acc_1: 0.6706 top5_acc_1: 0.9294 loss_cls_1: 1.0432 2023/02/03 03:19:26 - mmengine - INFO - Epoch(train) [225][1740/1879] lr: 4.7570e-03 eta: 8:22:20 time: 0.5322 data_time: 0.0337 memory: 18104 grad_norm: 6.7526 loss: 2.3961 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3433 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.0528 2023/02/03 03:19:36 - mmengine - INFO - Epoch(train) [225][1760/1879] lr: 4.7538e-03 eta: 8:22:10 time: 0.5330 data_time: 0.0339 memory: 18104 grad_norm: 6.6886 loss: 2.5854 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.4848 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.1006 2023/02/03 03:19:47 - mmengine - INFO - Epoch(train) [225][1780/1879] lr: 4.7506e-03 eta: 8:22:00 time: 0.5180 data_time: 0.0353 memory: 18104 grad_norm: 6.7047 loss: 2.3511 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.2473 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.1038 2023/02/03 03:19:57 - mmengine - INFO - Epoch(train) [225][1800/1879] lr: 4.7474e-03 eta: 8:21:49 time: 0.5160 data_time: 0.0337 memory: 18104 grad_norm: 6.6921 loss: 2.3811 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3735 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.0075 2023/02/03 03:20:08 - mmengine - INFO - Epoch(train) [225][1820/1879] lr: 4.7442e-03 eta: 8:21:39 time: 0.5365 data_time: 0.0430 memory: 18104 grad_norm: 6.7147 loss: 2.4649 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.3737 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 1.0912 2023/02/03 03:20:19 - mmengine - INFO - Epoch(train) [225][1840/1879] lr: 4.7410e-03 eta: 8:21:29 time: 0.5386 data_time: 0.0347 memory: 18104 grad_norm: 6.6602 loss: 2.5049 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4532 top1_acc_1: 0.8118 top5_acc_1: 0.9647 loss_cls_1: 1.0517 2023/02/03 03:20:29 - mmengine - INFO - Epoch(train) [225][1860/1879] lr: 4.7378e-03 eta: 8:21:19 time: 0.5218 data_time: 0.0358 memory: 18104 grad_norm: 6.6567 loss: 2.5150 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4353 top1_acc_1: 0.7529 top5_acc_1: 0.9647 loss_cls_1: 1.0797 2023/02/03 03:20:39 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 03:20:39 - mmengine - INFO - Epoch(train) [225][1879/1879] lr: 4.7347e-03 eta: 8:21:09 time: 0.5070 data_time: 0.0409 memory: 18104 grad_norm: 6.6313 loss: 2.2816 top1_acc_0: 0.4286 top5_acc_0: 0.8571 loss_cls_0: 1.2277 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 1.0539 2023/02/03 03:20:54 - mmengine - INFO - Epoch(train) [226][ 20/1879] lr: 4.7315e-03 eta: 8:21:01 time: 0.7170 data_time: 0.2574 memory: 18104 grad_norm: 6.5898 loss: 2.4518 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3907 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.0610 2023/02/03 03:21:03 - mmengine - INFO - Epoch(train) [226][ 40/1879] lr: 4.7283e-03 eta: 8:20:50 time: 0.4748 data_time: 0.0316 memory: 18104 grad_norm: 6.5581 loss: 2.3906 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4083 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 0.9824 2023/02/03 03:21:13 - mmengine - INFO - Epoch(train) [226][ 60/1879] lr: 4.7251e-03 eta: 8:20:40 time: 0.4940 data_time: 0.0369 memory: 18104 grad_norm: 6.7497 loss: 2.5682 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4499 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.1183 2023/02/03 03:21:23 - mmengine - INFO - Epoch(train) [226][ 80/1879] lr: 4.7219e-03 eta: 8:20:29 time: 0.5075 data_time: 0.0335 memory: 18104 grad_norm: 6.6164 loss: 2.3982 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.3094 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.0887 2023/02/03 03:21:33 - mmengine - INFO - Epoch(train) [226][ 100/1879] lr: 4.7188e-03 eta: 8:20:18 time: 0.4859 data_time: 0.0382 memory: 18104 grad_norm: 6.6836 loss: 2.4104 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3552 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.0552 2023/02/03 03:21:43 - mmengine - INFO - Epoch(train) [226][ 120/1879] lr: 4.7156e-03 eta: 8:20:08 time: 0.4842 data_time: 0.0314 memory: 18104 grad_norm: 6.7304 loss: 2.4135 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3532 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.0603 2023/02/03 03:21:53 - mmengine - INFO - Epoch(train) [226][ 140/1879] lr: 4.7124e-03 eta: 8:19:57 time: 0.5109 data_time: 0.0357 memory: 18104 grad_norm: 6.6164 loss: 2.3649 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3394 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.0255 2023/02/03 03:22:03 - mmengine - INFO - Epoch(train) [226][ 160/1879] lr: 4.7092e-03 eta: 8:19:47 time: 0.4916 data_time: 0.0315 memory: 18104 grad_norm: 6.6942 loss: 2.5614 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4607 top1_acc_1: 0.7647 top5_acc_1: 0.9647 loss_cls_1: 1.1007 2023/02/03 03:22:13 - mmengine - INFO - Epoch(train) [226][ 180/1879] lr: 4.7060e-03 eta: 8:19:36 time: 0.4877 data_time: 0.0368 memory: 18104 grad_norm: 6.5092 loss: 2.4356 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3869 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 1.0487 2023/02/03 03:22:23 - mmengine - INFO - Epoch(train) [226][ 200/1879] lr: 4.7028e-03 eta: 8:19:25 time: 0.4916 data_time: 0.0333 memory: 18104 grad_norm: 6.4874 loss: 2.3002 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2854 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 1.0147 2023/02/03 03:22:33 - mmengine - INFO - Epoch(train) [226][ 220/1879] lr: 4.6996e-03 eta: 8:19:15 time: 0.5126 data_time: 0.0436 memory: 18104 grad_norm: 6.6033 loss: 2.5443 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.5452 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.9991 2023/02/03 03:22:35 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 03:22:43 - mmengine - INFO - Epoch(train) [226][ 240/1879] lr: 4.6964e-03 eta: 8:19:04 time: 0.4850 data_time: 0.0354 memory: 18104 grad_norm: 6.4347 loss: 2.5490 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5565 top1_acc_1: 0.7176 top5_acc_1: 0.9529 loss_cls_1: 0.9925 2023/02/03 03:22:52 - mmengine - INFO - Epoch(train) [226][ 260/1879] lr: 4.6932e-03 eta: 8:18:54 time: 0.4882 data_time: 0.0385 memory: 18104 grad_norm: 6.4290 loss: 2.3348 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.3309 top1_acc_1: 0.7294 top5_acc_1: 0.9529 loss_cls_1: 1.0039 2023/02/03 03:23:02 - mmengine - INFO - Epoch(train) [226][ 280/1879] lr: 4.6900e-03 eta: 8:18:43 time: 0.4953 data_time: 0.0400 memory: 18104 grad_norm: 6.4834 loss: 2.4106 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3209 top1_acc_1: 0.6235 top5_acc_1: 0.8471 loss_cls_1: 1.0897 2023/02/03 03:23:12 - mmengine - INFO - Epoch(train) [226][ 300/1879] lr: 4.6869e-03 eta: 8:18:33 time: 0.5082 data_time: 0.0362 memory: 18104 grad_norm: 6.7386 loss: 2.5165 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.4175 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.0991 2023/02/03 03:23:22 - mmengine - INFO - Epoch(train) [226][ 320/1879] lr: 4.6837e-03 eta: 8:18:22 time: 0.4929 data_time: 0.0345 memory: 18104 grad_norm: 6.6585 loss: 2.4760 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.3465 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.1295 2023/02/03 03:23:32 - mmengine - INFO - Epoch(train) [226][ 340/1879] lr: 4.6805e-03 eta: 8:18:12 time: 0.4996 data_time: 0.0449 memory: 18104 grad_norm: 6.5998 loss: 2.5094 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.4747 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.0347 2023/02/03 03:23:42 - mmengine - INFO - Epoch(train) [226][ 360/1879] lr: 4.6773e-03 eta: 8:18:01 time: 0.4967 data_time: 0.0314 memory: 18104 grad_norm: 6.6097 loss: 2.2813 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2763 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 1.0051 2023/02/03 03:23:52 - mmengine - INFO - Epoch(train) [226][ 380/1879] lr: 4.6741e-03 eta: 8:17:51 time: 0.5042 data_time: 0.0364 memory: 18104 grad_norm: 6.6667 loss: 2.4307 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3648 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.0659 2023/02/03 03:24:02 - mmengine - INFO - Epoch(train) [226][ 400/1879] lr: 4.6710e-03 eta: 8:17:40 time: 0.4950 data_time: 0.0329 memory: 18104 grad_norm: 6.4903 loss: 2.4920 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3898 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.1022 2023/02/03 03:24:12 - mmengine - INFO - Epoch(train) [226][ 420/1879] lr: 4.6678e-03 eta: 8:17:30 time: 0.5005 data_time: 0.0451 memory: 18104 grad_norm: 6.7490 loss: 2.5140 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.3991 top1_acc_1: 0.6471 top5_acc_1: 0.8824 loss_cls_1: 1.1149 2023/02/03 03:24:22 - mmengine - INFO - Epoch(train) [226][ 440/1879] lr: 4.6646e-03 eta: 8:17:19 time: 0.4970 data_time: 0.0329 memory: 18104 grad_norm: 6.6906 loss: 2.6449 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.5517 top1_acc_1: 0.6353 top5_acc_1: 0.9059 loss_cls_1: 1.0932 2023/02/03 03:24:32 - mmengine - INFO - Epoch(train) [226][ 460/1879] lr: 4.6614e-03 eta: 8:17:08 time: 0.4951 data_time: 0.0362 memory: 18104 grad_norm: 6.4690 loss: 2.4479 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3385 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.1095 2023/02/03 03:24:42 - mmengine - INFO - Epoch(train) [226][ 480/1879] lr: 4.6583e-03 eta: 8:16:58 time: 0.4954 data_time: 0.0385 memory: 18104 grad_norm: 6.4998 loss: 2.3458 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2726 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 1.0732 2023/02/03 03:24:52 - mmengine - INFO - Epoch(train) [226][ 500/1879] lr: 4.6551e-03 eta: 8:16:47 time: 0.5017 data_time: 0.0380 memory: 18104 grad_norm: 6.7167 loss: 2.4222 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.4014 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 1.0208 2023/02/03 03:25:02 - mmengine - INFO - Epoch(train) [226][ 520/1879] lr: 4.6519e-03 eta: 8:16:37 time: 0.4918 data_time: 0.0324 memory: 18104 grad_norm: 6.8547 loss: 2.5577 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.4995 top1_acc_1: 0.6471 top5_acc_1: 0.8706 loss_cls_1: 1.0582 2023/02/03 03:25:12 - mmengine - INFO - Epoch(train) [226][ 540/1879] lr: 4.6487e-03 eta: 8:16:26 time: 0.5053 data_time: 0.0374 memory: 18104 grad_norm: 6.6025 loss: 2.4341 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3563 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.0778 2023/02/03 03:25:22 - mmengine - INFO - Epoch(train) [226][ 560/1879] lr: 4.6456e-03 eta: 8:16:16 time: 0.4976 data_time: 0.0386 memory: 18104 grad_norm: 6.6335 loss: 2.4191 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3673 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.0518 2023/02/03 03:25:32 - mmengine - INFO - Epoch(train) [226][ 580/1879] lr: 4.6424e-03 eta: 8:16:05 time: 0.5014 data_time: 0.0371 memory: 18104 grad_norm: 6.6183 loss: 2.4160 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3877 top1_acc_1: 0.8588 top5_acc_1: 0.9294 loss_cls_1: 1.0284 2023/02/03 03:25:42 - mmengine - INFO - Epoch(train) [226][ 600/1879] lr: 4.6392e-03 eta: 8:15:55 time: 0.4938 data_time: 0.0325 memory: 18104 grad_norm: 6.6861 loss: 2.2986 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.2829 top1_acc_1: 0.7882 top5_acc_1: 0.9647 loss_cls_1: 1.0157 2023/02/03 03:25:52 - mmengine - INFO - Epoch(train) [226][ 620/1879] lr: 4.6361e-03 eta: 8:15:44 time: 0.4984 data_time: 0.0442 memory: 18104 grad_norm: 6.6116 loss: 2.3702 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3200 top1_acc_1: 0.8000 top5_acc_1: 0.9765 loss_cls_1: 1.0502 2023/02/03 03:26:02 - mmengine - INFO - Epoch(train) [226][ 640/1879] lr: 4.6329e-03 eta: 8:15:34 time: 0.4991 data_time: 0.0331 memory: 18104 grad_norm: 6.8275 loss: 2.4233 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3485 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.0748 2023/02/03 03:26:12 - mmengine - INFO - Epoch(train) [226][ 660/1879] lr: 4.6297e-03 eta: 8:15:23 time: 0.5038 data_time: 0.0362 memory: 18104 grad_norm: 6.7949 loss: 2.5096 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4494 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.0602 2023/02/03 03:26:22 - mmengine - INFO - Epoch(train) [226][ 680/1879] lr: 4.6266e-03 eta: 8:15:13 time: 0.4987 data_time: 0.0350 memory: 18104 grad_norm: 6.6554 loss: 2.4538 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.3853 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0685 2023/02/03 03:26:32 - mmengine - INFO - Epoch(train) [226][ 700/1879] lr: 4.6234e-03 eta: 8:15:02 time: 0.5002 data_time: 0.0435 memory: 18104 grad_norm: 6.8124 loss: 2.2546 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.2772 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9774 2023/02/03 03:26:42 - mmengine - INFO - Epoch(train) [226][ 720/1879] lr: 4.6202e-03 eta: 8:14:52 time: 0.5027 data_time: 0.0333 memory: 18104 grad_norm: 6.5551 loss: 2.5419 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4889 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 1.0530 2023/02/03 03:26:52 - mmengine - INFO - Epoch(train) [226][ 740/1879] lr: 4.6171e-03 eta: 8:14:41 time: 0.5028 data_time: 0.0363 memory: 18104 grad_norm: 6.8014 loss: 2.4607 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.4343 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.0264 2023/02/03 03:27:02 - mmengine - INFO - Epoch(train) [226][ 760/1879] lr: 4.6139e-03 eta: 8:14:31 time: 0.4952 data_time: 0.0356 memory: 18104 grad_norm: 6.6014 loss: 2.3958 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3215 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 1.0743 2023/02/03 03:27:12 - mmengine - INFO - Epoch(train) [226][ 780/1879] lr: 4.6108e-03 eta: 8:14:20 time: 0.4965 data_time: 0.0398 memory: 18104 grad_norm: 6.3379 loss: 2.3911 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.4248 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 0.9663 2023/02/03 03:27:23 - mmengine - INFO - Epoch(train) [226][ 800/1879] lr: 4.6076e-03 eta: 8:14:10 time: 0.5082 data_time: 0.0319 memory: 18104 grad_norm: 6.6696 loss: 2.3769 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3979 top1_acc_1: 0.7882 top5_acc_1: 0.9647 loss_cls_1: 0.9790 2023/02/03 03:27:33 - mmengine - INFO - Epoch(train) [226][ 820/1879] lr: 4.6044e-03 eta: 8:13:59 time: 0.4979 data_time: 0.0469 memory: 18104 grad_norm: 6.5081 loss: 2.3532 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.2967 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 1.0565 2023/02/03 03:27:42 - mmengine - INFO - Epoch(train) [226][ 840/1879] lr: 4.6013e-03 eta: 8:13:49 time: 0.4959 data_time: 0.0322 memory: 18104 grad_norm: 6.4999 loss: 2.3733 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2815 top1_acc_1: 0.7294 top5_acc_1: 0.9529 loss_cls_1: 1.0918 2023/02/03 03:27:53 - mmengine - INFO - Epoch(train) [226][ 860/1879] lr: 4.5981e-03 eta: 8:13:38 time: 0.5041 data_time: 0.0356 memory: 18104 grad_norm: 6.8467 loss: 2.3507 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2996 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.0511 2023/02/03 03:28:03 - mmengine - INFO - Epoch(train) [226][ 880/1879] lr: 4.5950e-03 eta: 8:13:28 time: 0.5039 data_time: 0.0309 memory: 18104 grad_norm: 6.7094 loss: 2.4293 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4417 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.9876 2023/02/03 03:28:13 - mmengine - INFO - Epoch(train) [226][ 900/1879] lr: 4.5918e-03 eta: 8:13:17 time: 0.5029 data_time: 0.0410 memory: 18104 grad_norm: 6.4995 loss: 2.4440 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.3983 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.0457 2023/02/03 03:28:23 - mmengine - INFO - Epoch(train) [226][ 920/1879] lr: 4.5887e-03 eta: 8:13:07 time: 0.4985 data_time: 0.0315 memory: 18104 grad_norm: 6.9367 loss: 2.5197 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.5053 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 1.0144 2023/02/03 03:28:33 - mmengine - INFO - Epoch(train) [226][ 940/1879] lr: 4.5855e-03 eta: 8:12:56 time: 0.5026 data_time: 0.0348 memory: 18104 grad_norm: 6.6297 loss: 2.2859 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2907 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.9951 2023/02/03 03:28:43 - mmengine - INFO - Epoch(train) [226][ 960/1879] lr: 4.5824e-03 eta: 8:12:46 time: 0.5065 data_time: 0.0295 memory: 18104 grad_norm: 6.5582 loss: 2.5675 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5496 top1_acc_1: 0.7412 top5_acc_1: 0.8471 loss_cls_1: 1.0179 2023/02/03 03:28:53 - mmengine - INFO - Epoch(train) [226][ 980/1879] lr: 4.5792e-03 eta: 8:12:35 time: 0.5064 data_time: 0.0379 memory: 18104 grad_norm: 6.6151 loss: 2.4199 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3463 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0737 2023/02/03 03:29:03 - mmengine - INFO - Epoch(train) [226][1000/1879] lr: 4.5761e-03 eta: 8:12:25 time: 0.5096 data_time: 0.0310 memory: 18104 grad_norm: 6.5346 loss: 2.4828 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4712 top1_acc_1: 0.7412 top5_acc_1: 0.9647 loss_cls_1: 1.0116 2023/02/03 03:29:14 - mmengine - INFO - Epoch(train) [226][1020/1879] lr: 4.5729e-03 eta: 8:12:15 time: 0.5233 data_time: 0.0346 memory: 18104 grad_norm: 6.6608 loss: 2.6791 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.6136 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.0655 2023/02/03 03:29:24 - mmengine - INFO - Epoch(train) [226][1040/1879] lr: 4.5698e-03 eta: 8:12:04 time: 0.5007 data_time: 0.0310 memory: 18104 grad_norm: 6.5633 loss: 2.4080 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3592 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.0489 2023/02/03 03:29:34 - mmengine - INFO - Epoch(train) [226][1060/1879] lr: 4.5666e-03 eta: 8:11:54 time: 0.5035 data_time: 0.0355 memory: 18104 grad_norm: 6.6111 loss: 2.3763 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3680 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.0083 2023/02/03 03:29:44 - mmengine - INFO - Epoch(train) [226][1080/1879] lr: 4.5635e-03 eta: 8:11:43 time: 0.5012 data_time: 0.0309 memory: 18104 grad_norm: 6.7688 loss: 2.3904 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2946 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 1.0958 2023/02/03 03:29:54 - mmengine - INFO - Epoch(train) [226][1100/1879] lr: 4.5603e-03 eta: 8:11:33 time: 0.5192 data_time: 0.0433 memory: 18104 grad_norm: 6.6034 loss: 2.2641 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2407 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.0233 2023/02/03 03:30:05 - mmengine - INFO - Epoch(train) [226][1120/1879] lr: 4.5572e-03 eta: 8:11:23 time: 0.5078 data_time: 0.0316 memory: 18104 grad_norm: 6.6693 loss: 2.5073 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4402 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.0672 2023/02/03 03:30:15 - mmengine - INFO - Epoch(train) [226][1140/1879] lr: 4.5541e-03 eta: 8:11:12 time: 0.5093 data_time: 0.0365 memory: 18104 grad_norm: 6.7711 loss: 2.2296 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1769 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.0527 2023/02/03 03:30:25 - mmengine - INFO - Epoch(train) [226][1160/1879] lr: 4.5509e-03 eta: 8:11:02 time: 0.5197 data_time: 0.0374 memory: 18104 grad_norm: 6.6725 loss: 2.3458 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2708 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 1.0750 2023/02/03 03:30:36 - mmengine - INFO - Epoch(train) [226][1180/1879] lr: 4.5478e-03 eta: 8:10:52 time: 0.5151 data_time: 0.0356 memory: 18104 grad_norm: 6.6249 loss: 2.6548 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.5938 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 1.0610 2023/02/03 03:30:45 - mmengine - INFO - Epoch(train) [226][1200/1879] lr: 4.5446e-03 eta: 8:10:41 time: 0.4935 data_time: 0.0338 memory: 18104 grad_norm: 6.4275 loss: 2.3431 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.3270 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.0161 2023/02/03 03:30:56 - mmengine - INFO - Epoch(train) [226][1220/1879] lr: 4.5415e-03 eta: 8:10:31 time: 0.5203 data_time: 0.0400 memory: 18104 grad_norm: 6.7624 loss: 2.4035 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.3825 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 1.0210 2023/02/03 03:30:58 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 03:31:06 - mmengine - INFO - Epoch(train) [226][1240/1879] lr: 4.5384e-03 eta: 8:10:20 time: 0.4995 data_time: 0.0316 memory: 18104 grad_norm: 6.6711 loss: 2.3694 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.3376 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0318 2023/02/03 03:31:16 - mmengine - INFO - Epoch(train) [226][1260/1879] lr: 4.5352e-03 eta: 8:10:10 time: 0.5023 data_time: 0.0391 memory: 18104 grad_norm: 6.5733 loss: 2.3115 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.2690 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.0425 2023/02/03 03:31:26 - mmengine - INFO - Epoch(train) [226][1280/1879] lr: 4.5321e-03 eta: 8:09:59 time: 0.4985 data_time: 0.0311 memory: 18104 grad_norm: 6.6040 loss: 2.2615 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.2483 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.0132 2023/02/03 03:31:36 - mmengine - INFO - Epoch(train) [226][1300/1879] lr: 4.5290e-03 eta: 8:09:49 time: 0.5170 data_time: 0.0451 memory: 18104 grad_norm: 6.7254 loss: 2.5283 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4711 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 1.0573 2023/02/03 03:31:46 - mmengine - INFO - Epoch(train) [226][1320/1879] lr: 4.5258e-03 eta: 8:09:38 time: 0.4997 data_time: 0.0325 memory: 18104 grad_norm: 6.7221 loss: 2.5843 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5071 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0772 2023/02/03 03:31:56 - mmengine - INFO - Epoch(train) [226][1340/1879] lr: 4.5227e-03 eta: 8:09:28 time: 0.5014 data_time: 0.0378 memory: 18104 grad_norm: 6.6265 loss: 2.3023 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3246 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9777 2023/02/03 03:32:07 - mmengine - INFO - Epoch(train) [226][1360/1879] lr: 4.5196e-03 eta: 8:09:18 time: 0.5072 data_time: 0.0336 memory: 18104 grad_norm: 6.7698 loss: 2.3590 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.3164 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.0426 2023/02/03 03:32:17 - mmengine - INFO - Epoch(train) [226][1380/1879] lr: 4.5165e-03 eta: 8:09:07 time: 0.5172 data_time: 0.0375 memory: 18104 grad_norm: 6.7720 loss: 2.4825 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3799 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.1026 2023/02/03 03:32:27 - mmengine - INFO - Epoch(train) [226][1400/1879] lr: 4.5133e-03 eta: 8:08:57 time: 0.5080 data_time: 0.0324 memory: 18104 grad_norm: 6.7820 loss: 2.4034 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3492 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.0543 2023/02/03 03:32:37 - mmengine - INFO - Epoch(train) [226][1420/1879] lr: 4.5102e-03 eta: 8:08:46 time: 0.5083 data_time: 0.0361 memory: 18104 grad_norm: 6.6753 loss: 2.5251 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4555 top1_acc_1: 0.6118 top5_acc_1: 0.9294 loss_cls_1: 1.0696 2023/02/03 03:32:48 - mmengine - INFO - Epoch(train) [226][1440/1879] lr: 4.5071e-03 eta: 8:08:36 time: 0.5287 data_time: 0.0421 memory: 18104 grad_norm: 6.6153 loss: 2.3486 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3639 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 0.9846 2023/02/03 03:32:58 - mmengine - INFO - Epoch(train) [226][1460/1879] lr: 4.5039e-03 eta: 8:08:26 time: 0.5071 data_time: 0.0286 memory: 18104 grad_norm: 6.8512 loss: 2.3603 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.2628 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.0975 2023/02/03 03:33:09 - mmengine - INFO - Epoch(train) [226][1480/1879] lr: 4.5008e-03 eta: 8:08:15 time: 0.5187 data_time: 0.0373 memory: 18104 grad_norm: 6.6804 loss: 2.5915 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5129 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.0786 2023/02/03 03:33:19 - mmengine - INFO - Epoch(train) [226][1500/1879] lr: 4.4977e-03 eta: 8:08:05 time: 0.5305 data_time: 0.0366 memory: 18104 grad_norm: 6.6515 loss: 2.5363 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.4826 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.0537 2023/02/03 03:33:30 - mmengine - INFO - Epoch(train) [226][1520/1879] lr: 4.4946e-03 eta: 8:07:55 time: 0.5226 data_time: 0.0372 memory: 18104 grad_norm: 6.6596 loss: 2.5512 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.4220 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.1291 2023/02/03 03:33:40 - mmengine - INFO - Epoch(train) [226][1540/1879] lr: 4.4915e-03 eta: 8:07:45 time: 0.5205 data_time: 0.0321 memory: 18104 grad_norm: 6.4731 loss: 2.2685 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1811 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.0874 2023/02/03 03:33:51 - mmengine - INFO - Epoch(train) [226][1560/1879] lr: 4.4883e-03 eta: 8:07:35 time: 0.5215 data_time: 0.0443 memory: 18104 grad_norm: 6.5699 loss: 2.1452 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1296 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.0156 2023/02/03 03:34:01 - mmengine - INFO - Epoch(train) [226][1580/1879] lr: 4.4852e-03 eta: 8:07:24 time: 0.5224 data_time: 0.0292 memory: 18104 grad_norm: 6.6086 loss: 2.5552 top1_acc_0: 0.3125 top5_acc_0: 0.7500 loss_cls_0: 1.5611 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 0.9940 2023/02/03 03:34:11 - mmengine - INFO - Epoch(train) [226][1600/1879] lr: 4.4821e-03 eta: 8:07:14 time: 0.5231 data_time: 0.0375 memory: 18104 grad_norm: 6.6404 loss: 2.2634 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.2791 top1_acc_1: 0.8000 top5_acc_1: 0.8824 loss_cls_1: 0.9843 2023/02/03 03:34:22 - mmengine - INFO - Epoch(train) [226][1620/1879] lr: 4.4790e-03 eta: 8:07:04 time: 0.5133 data_time: 0.0294 memory: 18104 grad_norm: 6.7719 loss: 2.3364 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.2942 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0422 2023/02/03 03:34:32 - mmengine - INFO - Epoch(train) [226][1640/1879] lr: 4.4759e-03 eta: 8:06:54 time: 0.5299 data_time: 0.0462 memory: 18104 grad_norm: 6.7583 loss: 2.5010 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4049 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.0961 2023/02/03 03:34:43 - mmengine - INFO - Epoch(train) [226][1660/1879] lr: 4.4728e-03 eta: 8:06:43 time: 0.5140 data_time: 0.0287 memory: 18104 grad_norm: 6.7447 loss: 2.5894 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.5206 top1_acc_1: 0.7647 top5_acc_1: 0.8588 loss_cls_1: 1.0688 2023/02/03 03:34:53 - mmengine - INFO - Epoch(train) [226][1680/1879] lr: 4.4696e-03 eta: 8:06:33 time: 0.5325 data_time: 0.0365 memory: 18104 grad_norm: 6.5540 loss: 2.4384 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.3835 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.0548 2023/02/03 03:35:04 - mmengine - INFO - Epoch(train) [226][1700/1879] lr: 4.4665e-03 eta: 8:06:23 time: 0.5214 data_time: 0.0361 memory: 18104 grad_norm: 6.6048 loss: 2.4020 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.3447 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.0574 2023/02/03 03:35:14 - mmengine - INFO - Epoch(train) [226][1720/1879] lr: 4.4634e-03 eta: 8:06:13 time: 0.5195 data_time: 0.0362 memory: 18104 grad_norm: 6.5628 loss: 2.5759 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5134 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.0625 2023/02/03 03:35:25 - mmengine - INFO - Epoch(train) [226][1740/1879] lr: 4.4603e-03 eta: 8:06:02 time: 0.5325 data_time: 0.0317 memory: 18104 grad_norm: 6.7603 loss: 2.3289 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.2894 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.0395 2023/02/03 03:35:35 - mmengine - INFO - Epoch(train) [226][1760/1879] lr: 4.4572e-03 eta: 8:05:52 time: 0.5249 data_time: 0.0445 memory: 18104 grad_norm: 6.6675 loss: 2.3080 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.3002 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.0078 2023/02/03 03:35:46 - mmengine - INFO - Epoch(train) [226][1780/1879] lr: 4.4541e-03 eta: 8:05:42 time: 0.5316 data_time: 0.0288 memory: 18104 grad_norm: 6.6226 loss: 2.5031 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.4689 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.0342 2023/02/03 03:35:57 - mmengine - INFO - Epoch(train) [226][1800/1879] lr: 4.4510e-03 eta: 8:05:32 time: 0.5245 data_time: 0.0367 memory: 18104 grad_norm: 6.5711 loss: 2.4430 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.3341 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.1089 2023/02/03 03:36:07 - mmengine - INFO - Epoch(train) [226][1820/1879] lr: 4.4479e-03 eta: 8:05:22 time: 0.5271 data_time: 0.0324 memory: 18104 grad_norm: 6.7908 loss: 2.3316 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3452 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.9865 2023/02/03 03:36:18 - mmengine - INFO - Epoch(train) [226][1840/1879] lr: 4.4448e-03 eta: 8:05:12 time: 0.5397 data_time: 0.0451 memory: 18104 grad_norm: 6.7195 loss: 2.5684 top1_acc_0: 0.5000 top5_acc_0: 1.0000 loss_cls_0: 1.4987 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.0697 2023/02/03 03:36:28 - mmengine - INFO - Epoch(train) [226][1860/1879] lr: 4.4417e-03 eta: 8:05:01 time: 0.5143 data_time: 0.0293 memory: 18104 grad_norm: 6.7253 loss: 2.5901 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.5231 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.0670 2023/02/03 03:36:38 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 03:36:38 - mmengine - INFO - Epoch(train) [226][1879/1879] lr: 4.4387e-03 eta: 8:04:51 time: 0.4976 data_time: 0.0294 memory: 18104 grad_norm: 6.7567 loss: 2.3996 top1_acc_0: 0.4286 top5_acc_0: 0.5714 loss_cls_0: 1.3535 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 1.0461 2023/02/03 03:36:53 - mmengine - INFO - Epoch(train) [227][ 20/1879] lr: 4.4356e-03 eta: 8:04:43 time: 0.7121 data_time: 0.2561 memory: 18104 grad_norm: 6.7659 loss: 2.5035 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.4494 top1_acc_1: 0.7647 top5_acc_1: 0.9882 loss_cls_1: 1.0541 2023/02/03 03:37:02 - mmengine - INFO - Epoch(train) [227][ 40/1879] lr: 4.4325e-03 eta: 8:04:32 time: 0.4826 data_time: 0.0346 memory: 18104 grad_norm: 6.6651 loss: 2.4123 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.3762 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.0360 2023/02/03 03:37:12 - mmengine - INFO - Epoch(train) [227][ 60/1879] lr: 4.4294e-03 eta: 8:04:22 time: 0.5083 data_time: 0.0354 memory: 18104 grad_norm: 6.4231 loss: 2.1546 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.1761 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.9785 2023/02/03 03:37:23 - mmengine - INFO - Epoch(train) [227][ 80/1879] lr: 4.4263e-03 eta: 8:04:12 time: 0.5229 data_time: 0.0417 memory: 18104 grad_norm: 6.6564 loss: 2.3768 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.3311 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.0457 2023/02/03 03:37:33 - mmengine - INFO - Epoch(train) [227][ 100/1879] lr: 4.4232e-03 eta: 8:04:01 time: 0.5018 data_time: 0.0390 memory: 18104 grad_norm: 6.7380 loss: 2.4659 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.4124 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.0534 2023/02/03 03:37:43 - mmengine - INFO - Epoch(train) [227][ 120/1879] lr: 4.4201e-03 eta: 8:03:51 time: 0.4869 data_time: 0.0331 memory: 18104 grad_norm: 6.6852 loss: 2.6042 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5768 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.0274 2023/02/03 03:37:53 - mmengine - INFO - Epoch(train) [227][ 140/1879] lr: 4.4170e-03 eta: 8:03:40 time: 0.5202 data_time: 0.0389 memory: 18104 grad_norm: 6.6576 loss: 2.5638 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.5057 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.0581 2023/02/03 03:38:04 - mmengine - INFO - Epoch(train) [227][ 160/1879] lr: 4.4139e-03 eta: 8:03:30 time: 0.5202 data_time: 0.0398 memory: 18104 grad_norm: 6.6261 loss: 2.2945 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.2176 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.0770 2023/02/03 03:38:14 - mmengine - INFO - Epoch(train) [227][ 180/1879] lr: 4.4109e-03 eta: 8:03:19 time: 0.5017 data_time: 0.0364 memory: 18104 grad_norm: 6.6624 loss: 2.4747 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.3743 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.1004 2023/02/03 03:38:24 - mmengine - INFO - Epoch(train) [227][ 200/1879] lr: 4.4078e-03 eta: 8:03:09 time: 0.5073 data_time: 0.0312 memory: 18104 grad_norm: 6.6231 loss: 2.3592 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2910 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 1.0682 2023/02/03 03:38:35 - mmengine - INFO - Epoch(train) [227][ 220/1879] lr: 4.4047e-03 eta: 8:02:59 time: 0.5393 data_time: 0.0446 memory: 18104 grad_norm: 6.6622 loss: 2.5712 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.4967 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0745 2023/02/03 03:38:44 - mmengine - INFO - Epoch(train) [227][ 240/1879] lr: 4.4016e-03 eta: 8:02:48 time: 0.4906 data_time: 0.0311 memory: 18104 grad_norm: 6.4743 loss: 2.3961 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3320 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.0641 2023/02/03 03:38:55 - mmengine - INFO - Epoch(train) [227][ 260/1879] lr: 4.3985e-03 eta: 8:02:38 time: 0.5094 data_time: 0.0372 memory: 18104 grad_norm: 6.6531 loss: 2.5797 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.5699 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.0098 2023/02/03 03:39:05 - mmengine - INFO - Epoch(train) [227][ 280/1879] lr: 4.3954e-03 eta: 8:02:28 time: 0.5029 data_time: 0.0318 memory: 18104 grad_norm: 6.6808 loss: 2.3568 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3093 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.0474 2023/02/03 03:39:15 - mmengine - INFO - Epoch(train) [227][ 300/1879] lr: 4.3923e-03 eta: 8:02:17 time: 0.5117 data_time: 0.0436 memory: 18104 grad_norm: 6.4030 loss: 2.0890 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.0573 top1_acc_1: 0.8353 top5_acc_1: 0.9176 loss_cls_1: 1.0316 2023/02/03 03:39:25 - mmengine - INFO - Epoch(train) [227][ 320/1879] lr: 4.3892e-03 eta: 8:02:07 time: 0.5030 data_time: 0.0315 memory: 18104 grad_norm: 6.7204 loss: 2.4230 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3986 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0244 2023/02/03 03:39:36 - mmengine - INFO - Epoch(train) [227][ 340/1879] lr: 4.3861e-03 eta: 8:01:56 time: 0.5188 data_time: 0.0355 memory: 18104 grad_norm: 6.6340 loss: 2.0656 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.1089 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9567 2023/02/03 03:39:39 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 03:39:46 - mmengine - INFO - Epoch(train) [227][ 360/1879] lr: 4.3831e-03 eta: 8:01:46 time: 0.5106 data_time: 0.0308 memory: 18104 grad_norm: 6.6494 loss: 2.2482 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.1987 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.0496 2023/02/03 03:39:56 - mmengine - INFO - Epoch(train) [227][ 380/1879] lr: 4.3800e-03 eta: 8:01:36 time: 0.5133 data_time: 0.0428 memory: 18104 grad_norm: 6.4212 loss: 2.2985 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2443 top1_acc_1: 0.7529 top5_acc_1: 0.8353 loss_cls_1: 1.0542 2023/02/03 03:40:06 - mmengine - INFO - Epoch(train) [227][ 400/1879] lr: 4.3769e-03 eta: 8:01:25 time: 0.5099 data_time: 0.0296 memory: 18104 grad_norm: 6.7401 loss: 2.3553 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2696 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.0857 2023/02/03 03:40:17 - mmengine - INFO - Epoch(train) [227][ 420/1879] lr: 4.3738e-03 eta: 8:01:15 time: 0.5137 data_time: 0.0358 memory: 18104 grad_norm: 6.5666 loss: 2.5967 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.4976 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.0992 2023/02/03 03:40:27 - mmengine - INFO - Epoch(train) [227][ 440/1879] lr: 4.3707e-03 eta: 8:01:05 time: 0.5078 data_time: 0.0317 memory: 18104 grad_norm: 6.8434 loss: 2.3369 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3226 top1_acc_1: 0.6706 top5_acc_1: 0.7529 loss_cls_1: 1.0143 2023/02/03 03:40:37 - mmengine - INFO - Epoch(train) [227][ 460/1879] lr: 4.3677e-03 eta: 8:00:54 time: 0.5156 data_time: 0.0448 memory: 18104 grad_norm: 6.7713 loss: 2.5525 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.5061 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.0464 2023/02/03 03:40:47 - mmengine - INFO - Epoch(train) [227][ 480/1879] lr: 4.3646e-03 eta: 8:00:44 time: 0.5186 data_time: 0.0327 memory: 18104 grad_norm: 6.7645 loss: 2.5740 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.5815 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9925 2023/02/03 03:40:58 - mmengine - INFO - Epoch(train) [227][ 500/1879] lr: 4.3615e-03 eta: 8:00:33 time: 0.5035 data_time: 0.0364 memory: 18104 grad_norm: 6.7316 loss: 2.2486 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2019 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.0467 2023/02/03 03:41:08 - mmengine - INFO - Epoch(train) [227][ 520/1879] lr: 4.3584e-03 eta: 8:00:23 time: 0.5141 data_time: 0.0326 memory: 18104 grad_norm: 6.5592 loss: 2.2687 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2671 top1_acc_1: 0.8235 top5_acc_1: 0.9765 loss_cls_1: 1.0016 2023/02/03 03:41:18 - mmengine - INFO - Epoch(train) [227][ 540/1879] lr: 4.3553e-03 eta: 8:00:13 time: 0.5214 data_time: 0.0363 memory: 18104 grad_norm: 6.8512 loss: 2.3892 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3797 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 1.0095 2023/02/03 03:41:28 - mmengine - INFO - Epoch(train) [227][ 560/1879] lr: 4.3523e-03 eta: 8:00:02 time: 0.5044 data_time: 0.0318 memory: 18104 grad_norm: 6.7452 loss: 2.4674 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4572 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.0102 2023/02/03 03:41:39 - mmengine - INFO - Epoch(train) [227][ 580/1879] lr: 4.3492e-03 eta: 7:59:52 time: 0.5119 data_time: 0.0372 memory: 18104 grad_norm: 6.7260 loss: 2.5725 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.5235 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.0490 2023/02/03 03:41:49 - mmengine - INFO - Epoch(train) [227][ 600/1879] lr: 4.3461e-03 eta: 7:59:42 time: 0.5132 data_time: 0.0375 memory: 18104 grad_norm: 7.0183 loss: 2.6023 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.5828 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 1.0195 2023/02/03 03:41:59 - mmengine - INFO - Epoch(train) [227][ 620/1879] lr: 4.3431e-03 eta: 7:59:31 time: 0.5192 data_time: 0.0392 memory: 18104 grad_norm: 6.7314 loss: 2.3460 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.2746 top1_acc_1: 0.6235 top5_acc_1: 0.9059 loss_cls_1: 1.0714 2023/02/03 03:42:09 - mmengine - INFO - Epoch(train) [227][ 640/1879] lr: 4.3400e-03 eta: 7:59:21 time: 0.4972 data_time: 0.0299 memory: 18104 grad_norm: 6.5968 loss: 2.3268 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3091 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.0177 2023/02/03 03:42:20 - mmengine - INFO - Epoch(train) [227][ 660/1879] lr: 4.3369e-03 eta: 7:59:11 time: 0.5237 data_time: 0.0384 memory: 18104 grad_norm: 6.7120 loss: 2.3226 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3424 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9802 2023/02/03 03:42:30 - mmengine - INFO - Epoch(train) [227][ 680/1879] lr: 4.3339e-03 eta: 7:59:00 time: 0.5095 data_time: 0.0317 memory: 18104 grad_norm: 6.7434 loss: 2.3197 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.3378 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.9819 2023/02/03 03:42:40 - mmengine - INFO - Epoch(train) [227][ 700/1879] lr: 4.3308e-03 eta: 7:58:50 time: 0.5186 data_time: 0.0381 memory: 18104 grad_norm: 6.6398 loss: 2.4568 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4320 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 1.0247 2023/02/03 03:42:51 - mmengine - INFO - Epoch(train) [227][ 720/1879] lr: 4.3277e-03 eta: 7:58:40 time: 0.5111 data_time: 0.0299 memory: 18104 grad_norm: 6.7276 loss: 2.2529 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.2185 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.0344 2023/02/03 03:43:02 - mmengine - INFO - Epoch(train) [227][ 740/1879] lr: 4.3247e-03 eta: 7:58:30 time: 0.5568 data_time: 0.0489 memory: 18104 grad_norm: 6.6492 loss: 2.5430 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5676 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9754 2023/02/03 03:43:12 - mmengine - INFO - Epoch(train) [227][ 760/1879] lr: 4.3216e-03 eta: 7:58:19 time: 0.5252 data_time: 0.0294 memory: 18104 grad_norm: 6.5949 loss: 2.2542 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.2375 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.0166 2023/02/03 03:43:23 - mmengine - INFO - Epoch(train) [227][ 780/1879] lr: 4.3185e-03 eta: 7:58:09 time: 0.5277 data_time: 0.0359 memory: 18104 grad_norm: 6.6372 loss: 2.4359 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4114 top1_acc_1: 0.6824 top5_acc_1: 0.9294 loss_cls_1: 1.0245 2023/02/03 03:43:33 - mmengine - INFO - Epoch(train) [227][ 800/1879] lr: 4.3155e-03 eta: 7:57:59 time: 0.5184 data_time: 0.0305 memory: 18104 grad_norm: 6.7178 loss: 2.4577 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.4035 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.0542 2023/02/03 03:43:44 - mmengine - INFO - Epoch(train) [227][ 820/1879] lr: 4.3124e-03 eta: 7:57:49 time: 0.5196 data_time: 0.0446 memory: 18104 grad_norm: 6.5839 loss: 2.3727 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3355 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.0372 2023/02/03 03:43:54 - mmengine - INFO - Epoch(train) [227][ 840/1879] lr: 4.3094e-03 eta: 7:57:38 time: 0.5063 data_time: 0.0316 memory: 18104 grad_norm: 6.7196 loss: 2.4556 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.3975 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.0581 2023/02/03 03:44:04 - mmengine - INFO - Epoch(train) [227][ 860/1879] lr: 4.3063e-03 eta: 7:57:28 time: 0.5218 data_time: 0.0378 memory: 18104 grad_norm: 6.8881 loss: 2.3910 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3438 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.0472 2023/02/03 03:44:15 - mmengine - INFO - Epoch(train) [227][ 880/1879] lr: 4.3032e-03 eta: 7:57:18 time: 0.5111 data_time: 0.0289 memory: 18104 grad_norm: 6.8127 loss: 2.4748 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.4362 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 1.0385 2023/02/03 03:44:25 - mmengine - INFO - Epoch(train) [227][ 900/1879] lr: 4.3002e-03 eta: 7:57:07 time: 0.5253 data_time: 0.0443 memory: 18104 grad_norm: 6.6950 loss: 2.2934 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2804 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.0130 2023/02/03 03:44:35 - mmengine - INFO - Epoch(train) [227][ 920/1879] lr: 4.2971e-03 eta: 7:56:57 time: 0.5132 data_time: 0.0307 memory: 18104 grad_norm: 6.6230 loss: 2.3627 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.3331 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 1.0296 2023/02/03 03:44:46 - mmengine - INFO - Epoch(train) [227][ 940/1879] lr: 4.2941e-03 eta: 7:56:47 time: 0.5441 data_time: 0.0384 memory: 18104 grad_norm: 6.9304 loss: 2.3230 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.2998 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.0232 2023/02/03 03:44:57 - mmengine - INFO - Epoch(train) [227][ 960/1879] lr: 4.2910e-03 eta: 7:56:37 time: 0.5081 data_time: 0.0371 memory: 18104 grad_norm: 6.8201 loss: 2.6911 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.6077 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0834 2023/02/03 03:45:07 - mmengine - INFO - Epoch(train) [227][ 980/1879] lr: 4.2880e-03 eta: 7:56:26 time: 0.5335 data_time: 0.0380 memory: 18104 grad_norm: 6.7063 loss: 2.4125 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3653 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.0473 2023/02/03 03:45:18 - mmengine - INFO - Epoch(train) [227][1000/1879] lr: 4.2849e-03 eta: 7:56:16 time: 0.5177 data_time: 0.0280 memory: 18104 grad_norm: 6.8974 loss: 2.3261 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.3248 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.0013 2023/02/03 03:45:28 - mmengine - INFO - Epoch(train) [227][1020/1879] lr: 4.2819e-03 eta: 7:56:06 time: 0.5195 data_time: 0.0450 memory: 18104 grad_norm: 6.6049 loss: 2.6786 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.6115 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.0671 2023/02/03 03:45:38 - mmengine - INFO - Epoch(train) [227][1040/1879] lr: 4.2788e-03 eta: 7:55:55 time: 0.5093 data_time: 0.0291 memory: 18104 grad_norm: 6.7747 loss: 2.5048 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.5071 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.9977 2023/02/03 03:45:49 - mmengine - INFO - Epoch(train) [227][1060/1879] lr: 4.2758e-03 eta: 7:55:45 time: 0.5425 data_time: 0.0371 memory: 18104 grad_norm: 6.7045 loss: 2.5364 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4381 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.0983 2023/02/03 03:45:59 - mmengine - INFO - Epoch(train) [227][1080/1879] lr: 4.2727e-03 eta: 7:55:35 time: 0.5031 data_time: 0.0297 memory: 18104 grad_norm: 6.8306 loss: 2.4444 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4274 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 1.0170 2023/02/03 03:46:10 - mmengine - INFO - Epoch(train) [227][1100/1879] lr: 4.2697e-03 eta: 7:55:25 time: 0.5229 data_time: 0.0370 memory: 18104 grad_norm: 6.6917 loss: 2.3178 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2682 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.0496 2023/02/03 03:46:20 - mmengine - INFO - Epoch(train) [227][1120/1879] lr: 4.2666e-03 eta: 7:55:14 time: 0.5155 data_time: 0.0294 memory: 18104 grad_norm: 6.7381 loss: 2.4317 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3485 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.0833 2023/02/03 03:46:31 - mmengine - INFO - Epoch(train) [227][1140/1879] lr: 4.2636e-03 eta: 7:55:04 time: 0.5344 data_time: 0.0361 memory: 18104 grad_norm: 6.6615 loss: 2.3893 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.3724 top1_acc_1: 0.8000 top5_acc_1: 0.9765 loss_cls_1: 1.0169 2023/02/03 03:46:41 - mmengine - INFO - Epoch(train) [227][1160/1879] lr: 4.2605e-03 eta: 7:54:54 time: 0.5080 data_time: 0.0291 memory: 18104 grad_norm: 6.7278 loss: 2.4704 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4091 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.0613 2023/02/03 03:46:52 - mmengine - INFO - Epoch(train) [227][1180/1879] lr: 4.2575e-03 eta: 7:54:44 time: 0.5288 data_time: 0.0354 memory: 18104 grad_norm: 6.8296 loss: 2.4887 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.4619 top1_acc_1: 0.7765 top5_acc_1: 0.8706 loss_cls_1: 1.0268 2023/02/03 03:47:02 - mmengine - INFO - Epoch(train) [227][1200/1879] lr: 4.2545e-03 eta: 7:54:33 time: 0.5230 data_time: 0.0294 memory: 18104 grad_norm: 6.6893 loss: 2.1989 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.1330 top1_acc_1: 0.7059 top5_acc_1: 0.9412 loss_cls_1: 1.0659 2023/02/03 03:47:13 - mmengine - INFO - Epoch(train) [227][1220/1879] lr: 4.2514e-03 eta: 7:54:23 time: 0.5229 data_time: 0.0377 memory: 18104 grad_norm: 6.7901 loss: 2.3664 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3059 top1_acc_1: 0.6353 top5_acc_1: 0.7882 loss_cls_1: 1.0605 2023/02/03 03:47:23 - mmengine - INFO - Epoch(train) [227][1240/1879] lr: 4.2484e-03 eta: 7:54:13 time: 0.5189 data_time: 0.0364 memory: 18104 grad_norm: 6.7030 loss: 2.4295 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4190 top1_acc_1: 0.8000 top5_acc_1: 0.8706 loss_cls_1: 1.0104 2023/02/03 03:47:34 - mmengine - INFO - Epoch(train) [227][1260/1879] lr: 4.2453e-03 eta: 7:54:03 time: 0.5375 data_time: 0.0365 memory: 18104 grad_norm: 6.6694 loss: 2.5333 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.5675 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 0.9658 2023/02/03 03:47:44 - mmengine - INFO - Epoch(train) [227][1280/1879] lr: 4.2423e-03 eta: 7:53:52 time: 0.5084 data_time: 0.0290 memory: 18104 grad_norm: 6.7026 loss: 2.2759 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2822 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.9937 2023/02/03 03:47:54 - mmengine - INFO - Epoch(train) [227][1300/1879] lr: 4.2393e-03 eta: 7:53:42 time: 0.5279 data_time: 0.0444 memory: 18104 grad_norm: 6.9167 loss: 2.3734 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3382 top1_acc_1: 0.7059 top5_acc_1: 0.9647 loss_cls_1: 1.0352 2023/02/03 03:48:05 - mmengine - INFO - Epoch(train) [227][1320/1879] lr: 4.2362e-03 eta: 7:53:32 time: 0.5277 data_time: 0.0280 memory: 18104 grad_norm: 6.6520 loss: 2.2434 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1487 top1_acc_1: 0.7765 top5_acc_1: 0.8706 loss_cls_1: 1.0947 2023/02/03 03:48:16 - mmengine - INFO - Epoch(train) [227][1340/1879] lr: 4.2332e-03 eta: 7:53:22 time: 0.5296 data_time: 0.0372 memory: 18104 grad_norm: 6.7392 loss: 2.4380 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.3846 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.0535 2023/02/03 03:48:19 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 03:48:26 - mmengine - INFO - Epoch(train) [227][1360/1879] lr: 4.2302e-03 eta: 7:53:11 time: 0.5027 data_time: 0.0294 memory: 18104 grad_norm: 6.7384 loss: 2.4505 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3766 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 1.0740 2023/02/03 03:48:36 - mmengine - INFO - Epoch(train) [227][1380/1879] lr: 4.2271e-03 eta: 7:53:01 time: 0.5310 data_time: 0.0432 memory: 18104 grad_norm: 6.7744 loss: 2.3554 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3284 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 1.0270 2023/02/03 03:48:47 - mmengine - INFO - Epoch(train) [227][1400/1879] lr: 4.2241e-03 eta: 7:52:51 time: 0.5166 data_time: 0.0294 memory: 18104 grad_norm: 6.7186 loss: 2.2452 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2359 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 1.0093 2023/02/03 03:48:57 - mmengine - INFO - Epoch(train) [227][1420/1879] lr: 4.2211e-03 eta: 7:52:41 time: 0.5249 data_time: 0.0385 memory: 18104 grad_norm: 6.7702 loss: 2.4379 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4395 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9984 2023/02/03 03:49:07 - mmengine - INFO - Epoch(train) [227][1440/1879] lr: 4.2181e-03 eta: 7:52:30 time: 0.5109 data_time: 0.0303 memory: 18104 grad_norm: 6.7068 loss: 2.6004 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.5826 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.0178 2023/02/03 03:49:18 - mmengine - INFO - Epoch(train) [227][1460/1879] lr: 4.2150e-03 eta: 7:52:20 time: 0.5422 data_time: 0.0444 memory: 18104 grad_norm: 6.9508 loss: 2.4504 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.3568 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.0936 2023/02/03 03:49:29 - mmengine - INFO - Epoch(train) [227][1480/1879] lr: 4.2120e-03 eta: 7:52:10 time: 0.5140 data_time: 0.0321 memory: 18104 grad_norm: 6.9379 loss: 2.4051 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.3247 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.0804 2023/02/03 03:49:39 - mmengine - INFO - Epoch(train) [227][1500/1879] lr: 4.2090e-03 eta: 7:52:00 time: 0.5316 data_time: 0.0370 memory: 18104 grad_norm: 7.1461 loss: 2.5646 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.5127 top1_acc_1: 0.8000 top5_acc_1: 0.8824 loss_cls_1: 1.0519 2023/02/03 03:49:50 - mmengine - INFO - Epoch(train) [227][1520/1879] lr: 4.2060e-03 eta: 7:51:50 time: 0.5286 data_time: 0.0395 memory: 18104 grad_norm: 6.6242 loss: 2.3319 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.2847 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.0472 2023/02/03 03:50:01 - mmengine - INFO - Epoch(train) [227][1540/1879] lr: 4.2029e-03 eta: 7:51:39 time: 0.5342 data_time: 0.0341 memory: 18104 grad_norm: 6.7376 loss: 2.3626 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3692 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9935 2023/02/03 03:50:11 - mmengine - INFO - Epoch(train) [227][1560/1879] lr: 4.1999e-03 eta: 7:51:29 time: 0.5148 data_time: 0.0328 memory: 18104 grad_norm: 6.8661 loss: 2.6097 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.6140 top1_acc_1: 0.8706 top5_acc_1: 0.9529 loss_cls_1: 0.9957 2023/02/03 03:50:22 - mmengine - INFO - Epoch(train) [227][1580/1879] lr: 4.1969e-03 eta: 7:51:19 time: 0.5440 data_time: 0.0349 memory: 18104 grad_norm: 6.7120 loss: 2.3286 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.3387 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 0.9898 2023/02/03 03:50:32 - mmengine - INFO - Epoch(train) [227][1600/1879] lr: 4.1939e-03 eta: 7:51:09 time: 0.5111 data_time: 0.0386 memory: 18104 grad_norm: 6.7289 loss: 2.4572 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.4161 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.0411 2023/02/03 03:50:43 - mmengine - INFO - Epoch(train) [227][1620/1879] lr: 4.1908e-03 eta: 7:50:58 time: 0.5194 data_time: 0.0341 memory: 18104 grad_norm: 6.6891 loss: 2.4864 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.4710 top1_acc_1: 0.6353 top5_acc_1: 0.8353 loss_cls_1: 1.0154 2023/02/03 03:50:53 - mmengine - INFO - Epoch(train) [227][1640/1879] lr: 4.1878e-03 eta: 7:50:48 time: 0.5078 data_time: 0.0309 memory: 18104 grad_norm: 6.6087 loss: 2.1200 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1617 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 0.9583 2023/02/03 03:51:04 - mmengine - INFO - Epoch(train) [227][1660/1879] lr: 4.1848e-03 eta: 7:50:38 time: 0.5454 data_time: 0.0425 memory: 18104 grad_norm: 6.6379 loss: 2.4768 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.3626 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.1143 2023/02/03 03:51:14 - mmengine - INFO - Epoch(train) [227][1680/1879] lr: 4.1818e-03 eta: 7:50:28 time: 0.5193 data_time: 0.0314 memory: 18104 grad_norm: 6.8311 loss: 2.3346 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.2694 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.0652 2023/02/03 03:51:25 - mmengine - INFO - Epoch(train) [227][1700/1879] lr: 4.1788e-03 eta: 7:50:18 time: 0.5333 data_time: 0.0373 memory: 18104 grad_norm: 6.6564 loss: 2.4781 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4536 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.0245 2023/02/03 03:51:35 - mmengine - INFO - Epoch(train) [227][1720/1879] lr: 4.1758e-03 eta: 7:50:07 time: 0.5338 data_time: 0.0320 memory: 18104 grad_norm: 6.6076 loss: 2.4760 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.4441 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.0319 2023/02/03 03:51:46 - mmengine - INFO - Epoch(train) [227][1740/1879] lr: 4.1728e-03 eta: 7:49:57 time: 0.5382 data_time: 0.0357 memory: 18104 grad_norm: 6.8169 loss: 2.4531 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4402 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.0129 2023/02/03 03:51:57 - mmengine - INFO - Epoch(train) [227][1760/1879] lr: 4.1697e-03 eta: 7:49:47 time: 0.5163 data_time: 0.0313 memory: 18104 grad_norm: 6.5434 loss: 2.3956 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3825 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 1.0130 2023/02/03 03:52:08 - mmengine - INFO - Epoch(train) [227][1780/1879] lr: 4.1667e-03 eta: 7:49:37 time: 0.5501 data_time: 0.0365 memory: 18104 grad_norm: 6.6555 loss: 2.3277 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2834 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.0443 2023/02/03 03:52:18 - mmengine - INFO - Epoch(train) [227][1800/1879] lr: 4.1637e-03 eta: 7:49:27 time: 0.5225 data_time: 0.0468 memory: 18104 grad_norm: 6.7798 loss: 2.4878 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.4067 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 1.0811 2023/02/03 03:52:29 - mmengine - INFO - Epoch(train) [227][1820/1879] lr: 4.1607e-03 eta: 7:49:17 time: 0.5308 data_time: 0.0363 memory: 18104 grad_norm: 6.7849 loss: 2.3384 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.2829 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0554 2023/02/03 03:52:39 - mmengine - INFO - Epoch(train) [227][1840/1879] lr: 4.1577e-03 eta: 7:49:06 time: 0.5314 data_time: 0.0302 memory: 18104 grad_norm: 6.6571 loss: 2.6222 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.5242 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.0980 2023/02/03 03:52:50 - mmengine - INFO - Epoch(train) [227][1860/1879] lr: 4.1547e-03 eta: 7:48:56 time: 0.5392 data_time: 0.0353 memory: 18104 grad_norm: 6.7611 loss: 2.5075 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4238 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.0837 2023/02/03 03:53:00 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 03:53:00 - mmengine - INFO - Epoch(train) [227][1879/1879] lr: 4.1519e-03 eta: 7:48:46 time: 0.5036 data_time: 0.0291 memory: 18104 grad_norm: 6.8888 loss: 2.4862 top1_acc_0: 0.2857 top5_acc_0: 0.7143 loss_cls_0: 1.4281 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 1.0581 2023/02/03 03:53:15 - mmengine - INFO - Epoch(train) [228][ 20/1879] lr: 4.1488e-03 eta: 7:48:38 time: 0.7146 data_time: 0.2537 memory: 18104 grad_norm: 6.7272 loss: 2.3440 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3303 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.0138 2023/02/03 03:53:24 - mmengine - INFO - Epoch(train) [228][ 40/1879] lr: 4.1458e-03 eta: 7:48:27 time: 0.4826 data_time: 0.0321 memory: 18104 grad_norm: 6.7186 loss: 2.5931 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5217 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.0714 2023/02/03 03:53:34 - mmengine - INFO - Epoch(train) [228][ 60/1879] lr: 4.1428e-03 eta: 7:48:17 time: 0.5020 data_time: 0.0378 memory: 18104 grad_norm: 6.6685 loss: 2.3953 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3571 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 1.0382 2023/02/03 03:53:45 - mmengine - INFO - Epoch(train) [228][ 80/1879] lr: 4.1398e-03 eta: 7:48:07 time: 0.5252 data_time: 0.0411 memory: 18104 grad_norm: 6.7084 loss: 2.2772 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.2889 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9883 2023/02/03 03:53:55 - mmengine - INFO - Epoch(train) [228][ 100/1879] lr: 4.1368e-03 eta: 7:47:56 time: 0.4908 data_time: 0.0379 memory: 18104 grad_norm: 6.8035 loss: 2.2738 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2385 top1_acc_1: 0.7882 top5_acc_1: 0.8824 loss_cls_1: 1.0353 2023/02/03 03:54:05 - mmengine - INFO - Epoch(train) [228][ 120/1879] lr: 4.1338e-03 eta: 7:47:46 time: 0.4879 data_time: 0.0338 memory: 18104 grad_norm: 6.6902 loss: 2.3935 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.3430 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.0505 2023/02/03 03:54:15 - mmengine - INFO - Epoch(train) [228][ 140/1879] lr: 4.1308e-03 eta: 7:47:35 time: 0.5328 data_time: 0.0377 memory: 18104 grad_norm: 6.5688 loss: 2.3832 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2958 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.0874 2023/02/03 03:54:25 - mmengine - INFO - Epoch(train) [228][ 160/1879] lr: 4.1278e-03 eta: 7:47:25 time: 0.5066 data_time: 0.0361 memory: 18104 grad_norm: 6.7134 loss: 2.3006 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.2242 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 1.0764 2023/02/03 03:54:35 - mmengine - INFO - Epoch(train) [228][ 180/1879] lr: 4.1248e-03 eta: 7:47:15 time: 0.5029 data_time: 0.0366 memory: 18104 grad_norm: 6.6098 loss: 2.3570 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3610 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9960 2023/02/03 03:54:46 - mmengine - INFO - Epoch(train) [228][ 200/1879] lr: 4.1219e-03 eta: 7:47:04 time: 0.5208 data_time: 0.0304 memory: 18104 grad_norm: 6.7679 loss: 2.4234 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.3108 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.1126 2023/02/03 03:54:56 - mmengine - INFO - Epoch(train) [228][ 220/1879] lr: 4.1189e-03 eta: 7:46:54 time: 0.5113 data_time: 0.0356 memory: 18104 grad_norm: 6.7582 loss: 2.6035 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.5183 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.0852 2023/02/03 03:55:06 - mmengine - INFO - Epoch(train) [228][ 240/1879] lr: 4.1159e-03 eta: 7:46:43 time: 0.5069 data_time: 0.0321 memory: 18104 grad_norm: 6.7083 loss: 2.5690 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.5530 top1_acc_1: 0.8118 top5_acc_1: 0.8941 loss_cls_1: 1.0160 2023/02/03 03:55:17 - mmengine - INFO - Epoch(train) [228][ 260/1879] lr: 4.1129e-03 eta: 7:46:33 time: 0.5135 data_time: 0.0351 memory: 18104 grad_norm: 6.6634 loss: 2.3786 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.3884 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.9902 2023/02/03 03:55:27 - mmengine - INFO - Epoch(train) [228][ 280/1879] lr: 4.1099e-03 eta: 7:46:23 time: 0.5124 data_time: 0.0301 memory: 18104 grad_norm: 6.8270 loss: 2.4511 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.4497 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.0014 2023/02/03 03:55:37 - mmengine - INFO - Epoch(train) [228][ 300/1879] lr: 4.1069e-03 eta: 7:46:12 time: 0.5155 data_time: 0.0348 memory: 18104 grad_norm: 6.8506 loss: 2.2960 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2595 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 1.0365 2023/02/03 03:55:48 - mmengine - INFO - Epoch(train) [228][ 320/1879] lr: 4.1039e-03 eta: 7:46:02 time: 0.5153 data_time: 0.0329 memory: 18104 grad_norm: 6.7701 loss: 2.3733 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2858 top1_acc_1: 0.7765 top5_acc_1: 0.8706 loss_cls_1: 1.0875 2023/02/03 03:55:58 - mmengine - INFO - Epoch(train) [228][ 340/1879] lr: 4.1009e-03 eta: 7:45:52 time: 0.5076 data_time: 0.0352 memory: 18104 grad_norm: 6.7118 loss: 2.2659 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2637 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.0022 2023/02/03 03:56:08 - mmengine - INFO - Epoch(train) [228][ 360/1879] lr: 4.0979e-03 eta: 7:45:41 time: 0.5124 data_time: 0.0328 memory: 18104 grad_norm: 6.6086 loss: 2.2574 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.2572 top1_acc_1: 0.8471 top5_acc_1: 0.9176 loss_cls_1: 1.0002 2023/02/03 03:56:18 - mmengine - INFO - Epoch(train) [228][ 380/1879] lr: 4.0949e-03 eta: 7:45:31 time: 0.5123 data_time: 0.0353 memory: 18104 grad_norm: 6.7268 loss: 2.3743 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3413 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.0330 2023/02/03 03:56:29 - mmengine - INFO - Epoch(train) [228][ 400/1879] lr: 4.0920e-03 eta: 7:45:21 time: 0.5177 data_time: 0.0328 memory: 18104 grad_norm: 6.6232 loss: 2.1237 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.1159 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.0078 2023/02/03 03:56:39 - mmengine - INFO - Epoch(train) [228][ 420/1879] lr: 4.0890e-03 eta: 7:45:10 time: 0.4988 data_time: 0.0356 memory: 18104 grad_norm: 6.7159 loss: 2.3177 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3496 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 0.9681 2023/02/03 03:56:49 - mmengine - INFO - Epoch(train) [228][ 440/1879] lr: 4.0860e-03 eta: 7:45:00 time: 0.5123 data_time: 0.0308 memory: 18104 grad_norm: 6.6002 loss: 2.3268 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3193 top1_acc_1: 0.6588 top5_acc_1: 0.8353 loss_cls_1: 1.0075 2023/02/03 03:56:59 - mmengine - INFO - Epoch(train) [228][ 460/1879] lr: 4.0830e-03 eta: 7:44:49 time: 0.5089 data_time: 0.0371 memory: 18104 grad_norm: 6.7114 loss: 2.4645 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4776 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.9869 2023/02/03 03:57:03 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 03:57:09 - mmengine - INFO - Epoch(train) [228][ 480/1879] lr: 4.0800e-03 eta: 7:44:39 time: 0.4983 data_time: 0.0395 memory: 18104 grad_norm: 6.7596 loss: 2.5270 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5306 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 0.9964 2023/02/03 03:57:19 - mmengine - INFO - Epoch(train) [228][ 500/1879] lr: 4.0771e-03 eta: 7:44:28 time: 0.5109 data_time: 0.0348 memory: 18104 grad_norm: 6.6064 loss: 2.1859 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1579 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.0281 2023/02/03 03:57:30 - mmengine - INFO - Epoch(train) [228][ 520/1879] lr: 4.0741e-03 eta: 7:44:18 time: 0.5063 data_time: 0.0322 memory: 18104 grad_norm: 6.7369 loss: 2.2671 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3496 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9175 2023/02/03 03:57:40 - mmengine - INFO - Epoch(train) [228][ 540/1879] lr: 4.0711e-03 eta: 7:44:08 time: 0.5071 data_time: 0.0342 memory: 18104 grad_norm: 6.7842 loss: 2.2451 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.2452 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.9999 2023/02/03 03:57:50 - mmengine - INFO - Epoch(train) [228][ 560/1879] lr: 4.0681e-03 eta: 7:43:57 time: 0.5018 data_time: 0.0385 memory: 18104 grad_norm: 6.6024 loss: 2.3448 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3476 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9972 2023/02/03 03:58:00 - mmengine - INFO - Epoch(train) [228][ 580/1879] lr: 4.0651e-03 eta: 7:43:47 time: 0.5075 data_time: 0.0358 memory: 18104 grad_norm: 6.8325 loss: 2.2477 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2886 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.9591 2023/02/03 03:58:10 - mmengine - INFO - Epoch(train) [228][ 600/1879] lr: 4.0622e-03 eta: 7:43:36 time: 0.5170 data_time: 0.0320 memory: 18104 grad_norm: 6.9285 loss: 2.4545 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3669 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.0876 2023/02/03 03:58:20 - mmengine - INFO - Epoch(train) [228][ 620/1879] lr: 4.0592e-03 eta: 7:43:26 time: 0.5010 data_time: 0.0433 memory: 18104 grad_norm: 6.6230 loss: 2.3248 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.3248 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 1.0000 2023/02/03 03:58:31 - mmengine - INFO - Epoch(train) [228][ 640/1879] lr: 4.0562e-03 eta: 7:43:16 time: 0.5178 data_time: 0.0331 memory: 18104 grad_norm: 6.7272 loss: 2.3151 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2905 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 1.0246 2023/02/03 03:58:41 - mmengine - INFO - Epoch(train) [228][ 660/1879] lr: 4.0533e-03 eta: 7:43:05 time: 0.4981 data_time: 0.0363 memory: 18104 grad_norm: 6.7091 loss: 2.4531 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4210 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.0321 2023/02/03 03:58:51 - mmengine - INFO - Epoch(train) [228][ 680/1879] lr: 4.0503e-03 eta: 7:42:55 time: 0.5039 data_time: 0.0332 memory: 18104 grad_norm: 6.6630 loss: 2.4791 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.4494 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.0297 2023/02/03 03:59:01 - mmengine - INFO - Epoch(train) [228][ 700/1879] lr: 4.0473e-03 eta: 7:42:44 time: 0.5257 data_time: 0.0434 memory: 18104 grad_norm: 6.6983 loss: 2.6157 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.5450 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 1.0706 2023/02/03 03:59:12 - mmengine - INFO - Epoch(train) [228][ 720/1879] lr: 4.0444e-03 eta: 7:42:34 time: 0.5062 data_time: 0.0335 memory: 18104 grad_norm: 6.6699 loss: 2.3331 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2985 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.0346 2023/02/03 03:59:22 - mmengine - INFO - Epoch(train) [228][ 740/1879] lr: 4.0414e-03 eta: 7:42:24 time: 0.5031 data_time: 0.0383 memory: 18104 grad_norm: 6.6742 loss: 2.1417 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1472 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 0.9945 2023/02/03 03:59:32 - mmengine - INFO - Epoch(train) [228][ 760/1879] lr: 4.0384e-03 eta: 7:42:13 time: 0.5233 data_time: 0.0328 memory: 18104 grad_norm: 6.7023 loss: 2.3678 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3230 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.0448 2023/02/03 03:59:42 - mmengine - INFO - Epoch(train) [228][ 780/1879] lr: 4.0355e-03 eta: 7:42:03 time: 0.5176 data_time: 0.0414 memory: 18104 grad_norm: 6.9666 loss: 2.3136 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.2654 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.0481 2023/02/03 03:59:53 - mmengine - INFO - Epoch(train) [228][ 800/1879] lr: 4.0325e-03 eta: 7:41:53 time: 0.5170 data_time: 0.0334 memory: 18104 grad_norm: 6.7755 loss: 2.3331 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2961 top1_acc_1: 0.8000 top5_acc_1: 0.8941 loss_cls_1: 1.0370 2023/02/03 04:00:03 - mmengine - INFO - Epoch(train) [228][ 820/1879] lr: 4.0295e-03 eta: 7:41:42 time: 0.5138 data_time: 0.0350 memory: 18104 grad_norm: 6.8096 loss: 2.5421 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4914 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.0507 2023/02/03 04:00:13 - mmengine - INFO - Epoch(train) [228][ 840/1879] lr: 4.0266e-03 eta: 7:41:32 time: 0.5106 data_time: 0.0342 memory: 18104 grad_norm: 6.9742 loss: 2.4405 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.4001 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.0404 2023/02/03 04:00:24 - mmengine - INFO - Epoch(train) [228][ 860/1879] lr: 4.0236e-03 eta: 7:41:22 time: 0.5105 data_time: 0.0436 memory: 18104 grad_norm: 6.5423 loss: 2.4193 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3752 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.0441 2023/02/03 04:00:34 - mmengine - INFO - Epoch(train) [228][ 880/1879] lr: 4.0206e-03 eta: 7:41:11 time: 0.5130 data_time: 0.0322 memory: 18104 grad_norm: 6.6985 loss: 2.3066 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.2747 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 1.0319 2023/02/03 04:00:44 - mmengine - INFO - Epoch(train) [228][ 900/1879] lr: 4.0177e-03 eta: 7:41:01 time: 0.5037 data_time: 0.0353 memory: 18104 grad_norm: 6.8380 loss: 2.2904 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2707 top1_acc_1: 0.8353 top5_acc_1: 0.9647 loss_cls_1: 1.0197 2023/02/03 04:00:54 - mmengine - INFO - Epoch(train) [228][ 920/1879] lr: 4.0147e-03 eta: 7:40:51 time: 0.5217 data_time: 0.0332 memory: 18104 grad_norm: 6.8110 loss: 2.4007 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3697 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 1.0310 2023/02/03 04:01:05 - mmengine - INFO - Epoch(train) [228][ 940/1879] lr: 4.0118e-03 eta: 7:40:40 time: 0.5051 data_time: 0.0370 memory: 18104 grad_norm: 6.6296 loss: 2.2946 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2914 top1_acc_1: 0.7647 top5_acc_1: 0.8706 loss_cls_1: 1.0032 2023/02/03 04:01:15 - mmengine - INFO - Epoch(train) [228][ 960/1879] lr: 4.0088e-03 eta: 7:40:30 time: 0.5365 data_time: 0.0319 memory: 18104 grad_norm: 6.7426 loss: 2.1549 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1151 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.0399 2023/02/03 04:01:26 - mmengine - INFO - Epoch(train) [228][ 980/1879] lr: 4.0059e-03 eta: 7:40:20 time: 0.5167 data_time: 0.0363 memory: 18104 grad_norm: 6.8150 loss: 2.2522 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.1870 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 1.0652 2023/02/03 04:01:36 - mmengine - INFO - Epoch(train) [228][1000/1879] lr: 4.0029e-03 eta: 7:40:09 time: 0.5180 data_time: 0.0339 memory: 18104 grad_norm: 6.9019 loss: 2.4426 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4662 top1_acc_1: 0.7882 top5_acc_1: 0.8824 loss_cls_1: 0.9764 2023/02/03 04:01:46 - mmengine - INFO - Epoch(train) [228][1020/1879] lr: 4.0000e-03 eta: 7:39:59 time: 0.5199 data_time: 0.0435 memory: 18104 grad_norm: 6.7718 loss: 2.4590 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4055 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.0535 2023/02/03 04:01:57 - mmengine - INFO - Epoch(train) [228][1040/1879] lr: 3.9970e-03 eta: 7:39:49 time: 0.5238 data_time: 0.0321 memory: 18104 grad_norm: 6.7464 loss: 2.2653 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.2553 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.0100 2023/02/03 04:02:07 - mmengine - INFO - Epoch(train) [228][1060/1879] lr: 3.9941e-03 eta: 7:39:39 time: 0.5230 data_time: 0.0368 memory: 18104 grad_norm: 6.7894 loss: 2.4687 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4218 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.0469 2023/02/03 04:02:18 - mmengine - INFO - Epoch(train) [228][1080/1879] lr: 3.9911e-03 eta: 7:39:28 time: 0.5161 data_time: 0.0324 memory: 18104 grad_norm: 6.8110 loss: 2.3940 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.2949 top1_acc_1: 0.7882 top5_acc_1: 0.9765 loss_cls_1: 1.0991 2023/02/03 04:02:28 - mmengine - INFO - Epoch(train) [228][1100/1879] lr: 3.9882e-03 eta: 7:39:18 time: 0.5313 data_time: 0.0410 memory: 18104 grad_norm: 6.9688 loss: 2.4617 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4515 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 1.0102 2023/02/03 04:02:39 - mmengine - INFO - Epoch(train) [228][1120/1879] lr: 3.9852e-03 eta: 7:39:08 time: 0.5174 data_time: 0.0320 memory: 18104 grad_norm: 6.8724 loss: 2.4706 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4146 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.0560 2023/02/03 04:02:49 - mmengine - INFO - Epoch(train) [228][1140/1879] lr: 3.9823e-03 eta: 7:38:57 time: 0.5187 data_time: 0.0404 memory: 18104 grad_norm: 6.8995 loss: 2.4801 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4975 top1_acc_1: 0.6706 top5_acc_1: 0.9529 loss_cls_1: 0.9826 2023/02/03 04:03:00 - mmengine - INFO - Epoch(train) [228][1160/1879] lr: 3.9793e-03 eta: 7:38:47 time: 0.5172 data_time: 0.0324 memory: 18104 grad_norm: 6.8076 loss: 2.2891 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2558 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.0332 2023/02/03 04:03:10 - mmengine - INFO - Epoch(train) [228][1180/1879] lr: 3.9764e-03 eta: 7:38:37 time: 0.5349 data_time: 0.0482 memory: 18104 grad_norm: 7.0647 loss: 2.4697 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.4546 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.0152 2023/02/03 04:03:21 - mmengine - INFO - Epoch(train) [228][1200/1879] lr: 3.9734e-03 eta: 7:38:27 time: 0.5212 data_time: 0.0322 memory: 18104 grad_norm: 6.8020 loss: 2.4412 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3103 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 1.1308 2023/02/03 04:03:31 - mmengine - INFO - Epoch(train) [228][1220/1879] lr: 3.9705e-03 eta: 7:38:16 time: 0.5132 data_time: 0.0379 memory: 18104 grad_norm: 6.8692 loss: 2.3412 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2917 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.0495 2023/02/03 04:03:41 - mmengine - INFO - Epoch(train) [228][1240/1879] lr: 3.9676e-03 eta: 7:38:06 time: 0.5185 data_time: 0.0303 memory: 18104 grad_norm: 6.7619 loss: 2.3722 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2827 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 1.0895 2023/02/03 04:03:52 - mmengine - INFO - Epoch(train) [228][1260/1879] lr: 3.9646e-03 eta: 7:37:56 time: 0.5314 data_time: 0.0367 memory: 18104 grad_norm: 6.8345 loss: 2.3001 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.2392 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 1.0609 2023/02/03 04:04:02 - mmengine - INFO - Epoch(train) [228][1280/1879] lr: 3.9617e-03 eta: 7:37:46 time: 0.5090 data_time: 0.0323 memory: 18104 grad_norm: 6.9194 loss: 2.4568 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3686 top1_acc_1: 0.8000 top5_acc_1: 0.8941 loss_cls_1: 1.0882 2023/02/03 04:04:12 - mmengine - INFO - Epoch(train) [228][1300/1879] lr: 3.9587e-03 eta: 7:37:35 time: 0.5059 data_time: 0.0372 memory: 18104 grad_norm: 6.8704 loss: 2.7400 top1_acc_0: 0.3750 top5_acc_0: 0.6250 loss_cls_0: 1.7186 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0215 2023/02/03 04:04:23 - mmengine - INFO - Epoch(train) [228][1320/1879] lr: 3.9558e-03 eta: 7:37:25 time: 0.5120 data_time: 0.0315 memory: 18104 grad_norm: 6.6392 loss: 2.1677 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0931 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.0746 2023/02/03 04:04:33 - mmengine - INFO - Epoch(train) [228][1340/1879] lr: 3.9529e-03 eta: 7:37:14 time: 0.5187 data_time: 0.0419 memory: 18104 grad_norm: 6.8953 loss: 2.5966 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.4946 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 1.1020 2023/02/03 04:04:43 - mmengine - INFO - Epoch(train) [228][1360/1879] lr: 3.9499e-03 eta: 7:37:04 time: 0.5118 data_time: 0.0324 memory: 18104 grad_norm: 6.9069 loss: 2.4118 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3325 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.0794 2023/02/03 04:04:54 - mmengine - INFO - Epoch(train) [228][1380/1879] lr: 3.9470e-03 eta: 7:36:54 time: 0.5043 data_time: 0.0369 memory: 18104 grad_norm: 6.9685 loss: 2.2827 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2732 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.0095 2023/02/03 04:05:04 - mmengine - INFO - Epoch(train) [228][1400/1879] lr: 3.9441e-03 eta: 7:36:43 time: 0.5298 data_time: 0.0314 memory: 18104 grad_norm: 6.7532 loss: 2.5164 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4353 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.0811 2023/02/03 04:05:14 - mmengine - INFO - Epoch(train) [228][1420/1879] lr: 3.9411e-03 eta: 7:36:33 time: 0.5144 data_time: 0.0363 memory: 18104 grad_norm: 6.7446 loss: 2.4150 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3331 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0820 2023/02/03 04:05:25 - mmengine - INFO - Epoch(train) [228][1440/1879] lr: 3.9382e-03 eta: 7:36:23 time: 0.5228 data_time: 0.0316 memory: 18104 grad_norm: 6.8150 loss: 2.5846 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5463 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.0383 2023/02/03 04:05:35 - mmengine - INFO - Epoch(train) [228][1460/1879] lr: 3.9353e-03 eta: 7:36:13 time: 0.5258 data_time: 0.0355 memory: 18104 grad_norm: 6.7542 loss: 2.2974 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3477 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 0.9497 2023/02/03 04:05:39 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 04:05:46 - mmengine - INFO - Epoch(train) [228][1480/1879] lr: 3.9323e-03 eta: 7:36:02 time: 0.5373 data_time: 0.0402 memory: 18104 grad_norm: 6.8432 loss: 2.3961 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.3550 top1_acc_1: 0.7882 top5_acc_1: 0.9647 loss_cls_1: 1.0410 2023/02/03 04:05:57 - mmengine - INFO - Epoch(train) [228][1500/1879] lr: 3.9294e-03 eta: 7:35:52 time: 0.5150 data_time: 0.0366 memory: 18104 grad_norm: 6.7775 loss: 2.3097 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.2351 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 1.0746 2023/02/03 04:06:07 - mmengine - INFO - Epoch(train) [228][1520/1879] lr: 3.9265e-03 eta: 7:35:42 time: 0.5193 data_time: 0.0320 memory: 18104 grad_norm: 6.6691 loss: 2.2399 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.2173 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.0226 2023/02/03 04:06:17 - mmengine - INFO - Epoch(train) [228][1540/1879] lr: 3.9236e-03 eta: 7:35:31 time: 0.5019 data_time: 0.0358 memory: 18104 grad_norm: 6.8056 loss: 2.5784 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.5774 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.0010 2023/02/03 04:06:28 - mmengine - INFO - Epoch(train) [228][1560/1879] lr: 3.9206e-03 eta: 7:35:21 time: 0.5247 data_time: 0.0417 memory: 18104 grad_norm: 6.8620 loss: 2.3045 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3277 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 0.9768 2023/02/03 04:06:38 - mmengine - INFO - Epoch(train) [228][1580/1879] lr: 3.9177e-03 eta: 7:35:11 time: 0.5117 data_time: 0.0348 memory: 18104 grad_norm: 6.7006 loss: 2.2502 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.1593 top1_acc_1: 0.8000 top5_acc_1: 0.9882 loss_cls_1: 1.0910 2023/02/03 04:06:48 - mmengine - INFO - Epoch(train) [228][1600/1879] lr: 3.9148e-03 eta: 7:35:01 time: 0.5228 data_time: 0.0320 memory: 18104 grad_norm: 6.9368 loss: 2.4496 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.3557 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.0939 2023/02/03 04:06:59 - mmengine - INFO - Epoch(train) [228][1620/1879] lr: 3.9119e-03 eta: 7:34:50 time: 0.5178 data_time: 0.0347 memory: 18104 grad_norm: 6.9527 loss: 2.4241 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4677 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 0.9563 2023/02/03 04:07:09 - mmengine - INFO - Epoch(train) [228][1640/1879] lr: 3.9090e-03 eta: 7:34:40 time: 0.5160 data_time: 0.0412 memory: 18104 grad_norm: 6.9018 loss: 2.4031 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.3928 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 1.0103 2023/02/03 04:07:20 - mmengine - INFO - Epoch(train) [228][1660/1879] lr: 3.9060e-03 eta: 7:34:30 time: 0.5245 data_time: 0.0363 memory: 18104 grad_norm: 6.6316 loss: 2.2220 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2567 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9653 2023/02/03 04:07:30 - mmengine - INFO - Epoch(train) [228][1680/1879] lr: 3.9031e-03 eta: 7:34:19 time: 0.5255 data_time: 0.0314 memory: 18104 grad_norm: 6.8576 loss: 2.4392 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.4490 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9902 2023/02/03 04:07:41 - mmengine - INFO - Epoch(train) [228][1700/1879] lr: 3.9002e-03 eta: 7:34:09 time: 0.5274 data_time: 0.0489 memory: 18104 grad_norm: 6.8143 loss: 2.4997 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.4386 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.0611 2023/02/03 04:07:51 - mmengine - INFO - Epoch(train) [228][1720/1879] lr: 3.8973e-03 eta: 7:33:59 time: 0.5138 data_time: 0.0316 memory: 18104 grad_norm: 6.6823 loss: 2.3964 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4188 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9776 2023/02/03 04:08:01 - mmengine - INFO - Epoch(train) [228][1740/1879] lr: 3.8944e-03 eta: 7:33:49 time: 0.5205 data_time: 0.0362 memory: 18104 grad_norm: 6.8098 loss: 2.4821 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4266 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0555 2023/02/03 04:08:12 - mmengine - INFO - Epoch(train) [228][1760/1879] lr: 3.8915e-03 eta: 7:33:38 time: 0.5201 data_time: 0.0313 memory: 18104 grad_norm: 6.9171 loss: 2.5553 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5583 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 0.9970 2023/02/03 04:08:22 - mmengine - INFO - Epoch(train) [228][1780/1879] lr: 3.8886e-03 eta: 7:33:28 time: 0.5164 data_time: 0.0449 memory: 18104 grad_norm: 7.1185 loss: 2.6217 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5644 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.0574 2023/02/03 04:08:33 - mmengine - INFO - Epoch(train) [228][1800/1879] lr: 3.8856e-03 eta: 7:33:18 time: 0.5260 data_time: 0.0324 memory: 18104 grad_norm: 6.7547 loss: 2.4672 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4701 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 0.9971 2023/02/03 04:08:43 - mmengine - INFO - Epoch(train) [228][1820/1879] lr: 3.8827e-03 eta: 7:33:07 time: 0.5020 data_time: 0.0363 memory: 18104 grad_norm: 6.7159 loss: 2.2563 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2396 top1_acc_1: 0.7294 top5_acc_1: 0.9529 loss_cls_1: 1.0167 2023/02/03 04:08:53 - mmengine - INFO - Epoch(train) [228][1840/1879] lr: 3.8798e-03 eta: 7:32:57 time: 0.5220 data_time: 0.0339 memory: 18104 grad_norm: 6.8341 loss: 2.5879 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.5688 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 1.0191 2023/02/03 04:09:04 - mmengine - INFO - Epoch(train) [228][1860/1879] lr: 3.8769e-03 eta: 7:32:47 time: 0.5123 data_time: 0.0386 memory: 18104 grad_norm: 6.8737 loss: 2.4025 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3441 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.0584 2023/02/03 04:09:13 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 04:09:13 - mmengine - INFO - Epoch(train) [228][1879/1879] lr: 3.8742e-03 eta: 7:32:37 time: 0.5024 data_time: 0.0321 memory: 18104 grad_norm: 6.9576 loss: 2.3697 top1_acc_0: 0.5714 top5_acc_0: 0.8571 loss_cls_0: 1.3337 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0359 2023/02/03 04:09:14 - mmengine - INFO - Saving checkpoint at 228 epochs 2023/02/03 04:09:25 - mmengine - INFO - Epoch(val) [228][ 20/155] eta: 0:01:02 time: 0.4596 data_time: 0.3468 memory: 1900 2023/02/03 04:09:33 - mmengine - INFO - Epoch(val) [228][ 40/155] eta: 0:00:51 time: 0.4356 data_time: 0.3237 memory: 1900 2023/02/03 04:09:42 - mmengine - INFO - Epoch(val) [228][ 60/155] eta: 0:00:42 time: 0.4366 data_time: 0.3251 memory: 1900 2023/02/03 04:09:51 - mmengine - INFO - Epoch(val) [228][ 80/155] eta: 0:00:33 time: 0.4615 data_time: 0.3500 memory: 1900 2023/02/03 04:10:00 - mmengine - INFO - Epoch(val) [228][100/155] eta: 0:00:24 time: 0.4451 data_time: 0.3343 memory: 1900 2023/02/03 04:10:09 - mmengine - INFO - Epoch(val) [228][120/155] eta: 0:00:15 time: 0.4499 data_time: 0.3391 memory: 1900 2023/02/03 04:10:18 - mmengine - INFO - Epoch(val) [228][140/155] eta: 0:00:06 time: 0.4362 data_time: 0.3254 memory: 1900 2023/02/03 04:10:26 - mmengine - INFO - Epoch(val) [228][155/155] acc/top1: 0.6850 acc/top5: 0.8780 acc/mean1: 0.6848 2023/02/03 04:10:26 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_224.pth is removed 2023/02/03 04:10:28 - mmengine - INFO - The best checkpoint with 0.6850 acc/top1 at 228 epoch is saved to best_acc/top1_epoch_228.pth. 2023/02/03 04:10:42 - mmengine - INFO - Epoch(train) [229][ 20/1879] lr: 3.8712e-03 eta: 7:32:28 time: 0.6987 data_time: 0.2434 memory: 18104 grad_norm: 6.7845 loss: 2.3599 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3120 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.0479 2023/02/03 04:10:52 - mmengine - INFO - Epoch(train) [229][ 40/1879] lr: 3.8683e-03 eta: 7:32:18 time: 0.4786 data_time: 0.0349 memory: 18104 grad_norm: 6.7368 loss: 2.2437 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2520 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.9916 2023/02/03 04:11:02 - mmengine - INFO - Epoch(train) [229][ 60/1879] lr: 3.8654e-03 eta: 7:32:07 time: 0.5256 data_time: 0.0632 memory: 18104 grad_norm: 7.0220 loss: 2.3426 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.2499 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 1.0927 2023/02/03 04:11:12 - mmengine - INFO - Epoch(train) [229][ 80/1879] lr: 3.8625e-03 eta: 7:31:57 time: 0.5011 data_time: 0.0309 memory: 18104 grad_norm: 6.7537 loss: 2.4789 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.4761 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.0027 2023/02/03 04:11:22 - mmengine - INFO - Epoch(train) [229][ 100/1879] lr: 3.8596e-03 eta: 7:31:46 time: 0.4921 data_time: 0.0395 memory: 18104 grad_norm: 6.9482 loss: 2.4992 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.4373 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.0619 2023/02/03 04:11:32 - mmengine - INFO - Epoch(train) [229][ 120/1879] lr: 3.8567e-03 eta: 7:31:36 time: 0.4788 data_time: 0.0300 memory: 18104 grad_norm: 6.7713 loss: 2.3530 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.3774 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9756 2023/02/03 04:11:42 - mmengine - INFO - Epoch(train) [229][ 140/1879] lr: 3.8538e-03 eta: 7:31:25 time: 0.5195 data_time: 0.0406 memory: 18104 grad_norm: 6.8815 loss: 2.5793 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6026 top1_acc_1: 0.8941 top5_acc_1: 0.9529 loss_cls_1: 0.9767 2023/02/03 04:11:52 - mmengine - INFO - Epoch(train) [229][ 160/1879] lr: 3.8509e-03 eta: 7:31:15 time: 0.4804 data_time: 0.0293 memory: 18104 grad_norm: 6.7652 loss: 2.3038 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2955 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.0084 2023/02/03 04:12:02 - mmengine - INFO - Epoch(train) [229][ 180/1879] lr: 3.8480e-03 eta: 7:31:04 time: 0.4947 data_time: 0.0393 memory: 18104 grad_norm: 6.7377 loss: 2.3271 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2222 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.1049 2023/02/03 04:12:12 - mmengine - INFO - Epoch(train) [229][ 200/1879] lr: 3.8451e-03 eta: 7:30:54 time: 0.5182 data_time: 0.0310 memory: 18104 grad_norm: 6.7016 loss: 2.3361 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2938 top1_acc_1: 0.8235 top5_acc_1: 0.9647 loss_cls_1: 1.0422 2023/02/03 04:12:22 - mmengine - INFO - Epoch(train) [229][ 220/1879] lr: 3.8422e-03 eta: 7:30:43 time: 0.5110 data_time: 0.0408 memory: 18104 grad_norm: 6.6991 loss: 2.2392 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1998 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 1.0394 2023/02/03 04:12:32 - mmengine - INFO - Epoch(train) [229][ 240/1879] lr: 3.8393e-03 eta: 7:30:33 time: 0.4854 data_time: 0.0313 memory: 18104 grad_norm: 6.8358 loss: 2.4260 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.4156 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 1.0103 2023/02/03 04:12:42 - mmengine - INFO - Epoch(train) [229][ 260/1879] lr: 3.8365e-03 eta: 7:30:22 time: 0.5137 data_time: 0.0455 memory: 18104 grad_norm: 6.8527 loss: 2.3872 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.4327 top1_acc_1: 0.8353 top5_acc_1: 0.9059 loss_cls_1: 0.9545 2023/02/03 04:12:52 - mmengine - INFO - Epoch(train) [229][ 280/1879] lr: 3.8336e-03 eta: 7:30:12 time: 0.5007 data_time: 0.0309 memory: 18104 grad_norm: 6.9131 loss: 2.3281 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3496 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9785 2023/02/03 04:13:02 - mmengine - INFO - Epoch(train) [229][ 300/1879] lr: 3.8307e-03 eta: 7:30:01 time: 0.4978 data_time: 0.0364 memory: 18104 grad_norm: 6.7814 loss: 2.2697 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2691 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.0006 2023/02/03 04:13:12 - mmengine - INFO - Epoch(train) [229][ 320/1879] lr: 3.8278e-03 eta: 7:29:51 time: 0.4844 data_time: 0.0329 memory: 18104 grad_norm: 6.7464 loss: 2.2227 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2457 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 0.9770 2023/02/03 04:13:22 - mmengine - INFO - Epoch(train) [229][ 340/1879] lr: 3.8249e-03 eta: 7:29:41 time: 0.5218 data_time: 0.0425 memory: 18104 grad_norm: 6.8610 loss: 2.5978 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.5678 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.0300 2023/02/03 04:13:32 - mmengine - INFO - Epoch(train) [229][ 360/1879] lr: 3.8220e-03 eta: 7:29:30 time: 0.4832 data_time: 0.0337 memory: 18104 grad_norm: 6.9933 loss: 2.3937 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.3270 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.0666 2023/02/03 04:13:42 - mmengine - INFO - Epoch(train) [229][ 380/1879] lr: 3.8191e-03 eta: 7:29:19 time: 0.5050 data_time: 0.0375 memory: 18104 grad_norm: 6.6622 loss: 2.4081 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.4441 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9640 2023/02/03 04:13:53 - mmengine - INFO - Epoch(train) [229][ 400/1879] lr: 3.8162e-03 eta: 7:29:09 time: 0.5137 data_time: 0.0372 memory: 18104 grad_norm: 6.7261 loss: 2.2689 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2751 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.9938 2023/02/03 04:14:03 - mmengine - INFO - Epoch(train) [229][ 420/1879] lr: 3.8133e-03 eta: 7:28:59 time: 0.4994 data_time: 0.0360 memory: 18104 grad_norm: 6.8804 loss: 2.5537 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.5690 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 0.9847 2023/02/03 04:14:12 - mmengine - INFO - Epoch(train) [229][ 440/1879] lr: 3.8105e-03 eta: 7:28:48 time: 0.4899 data_time: 0.0320 memory: 18104 grad_norm: 6.8952 loss: 2.2744 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.3162 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9582 2023/02/03 04:14:23 - mmengine - INFO - Epoch(train) [229][ 460/1879] lr: 3.8076e-03 eta: 7:28:38 time: 0.5174 data_time: 0.0454 memory: 18104 grad_norm: 6.8376 loss: 2.5521 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4776 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.0745 2023/02/03 04:14:33 - mmengine - INFO - Epoch(train) [229][ 480/1879] lr: 3.8047e-03 eta: 7:28:27 time: 0.4990 data_time: 0.0326 memory: 18104 grad_norm: 6.9002 loss: 2.3747 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3481 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 1.0266 2023/02/03 04:14:43 - mmengine - INFO - Epoch(train) [229][ 500/1879] lr: 3.8018e-03 eta: 7:28:17 time: 0.4985 data_time: 0.0372 memory: 18104 grad_norm: 6.7461 loss: 2.3078 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2507 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.0571 2023/02/03 04:14:53 - mmengine - INFO - Epoch(train) [229][ 520/1879] lr: 3.7989e-03 eta: 7:28:06 time: 0.4856 data_time: 0.0350 memory: 18104 grad_norm: 6.9079 loss: 2.3246 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2761 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.0485 2023/02/03 04:15:03 - mmengine - INFO - Epoch(train) [229][ 540/1879] lr: 3.7961e-03 eta: 7:27:56 time: 0.5330 data_time: 0.0357 memory: 18104 grad_norm: 6.6804 loss: 2.3999 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.4483 top1_acc_1: 0.8353 top5_acc_1: 0.9765 loss_cls_1: 0.9516 2023/02/03 04:15:13 - mmengine - INFO - Epoch(train) [229][ 560/1879] lr: 3.7932e-03 eta: 7:27:45 time: 0.4847 data_time: 0.0338 memory: 18104 grad_norm: 6.8612 loss: 2.5148 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.5156 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 0.9992 2023/02/03 04:15:23 - mmengine - INFO - Epoch(train) [229][ 580/1879] lr: 3.7903e-03 eta: 7:27:35 time: 0.5092 data_time: 0.0369 memory: 18104 grad_norm: 6.9542 loss: 2.3941 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3306 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 1.0635 2023/02/03 04:15:27 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 04:15:33 - mmengine - INFO - Epoch(train) [229][ 600/1879] lr: 3.7874e-03 eta: 7:27:24 time: 0.5022 data_time: 0.0415 memory: 18104 grad_norm: 6.8897 loss: 2.5169 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.4741 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.0428 2023/02/03 04:15:43 - mmengine - INFO - Epoch(train) [229][ 620/1879] lr: 3.7845e-03 eta: 7:27:14 time: 0.5054 data_time: 0.0373 memory: 18104 grad_norm: 6.7057 loss: 2.4018 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4114 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9904 2023/02/03 04:15:53 - mmengine - INFO - Epoch(train) [229][ 640/1879] lr: 3.7817e-03 eta: 7:27:03 time: 0.4944 data_time: 0.0309 memory: 18104 grad_norm: 6.7956 loss: 2.2884 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2787 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.0097 2023/02/03 04:16:04 - mmengine - INFO - Epoch(train) [229][ 660/1879] lr: 3.7788e-03 eta: 7:26:53 time: 0.5193 data_time: 0.0361 memory: 18104 grad_norm: 6.7860 loss: 2.2810 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.3422 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9387 2023/02/03 04:16:14 - mmengine - INFO - Epoch(train) [229][ 680/1879] lr: 3.7759e-03 eta: 7:26:43 time: 0.4997 data_time: 0.0383 memory: 18104 grad_norm: 6.8732 loss: 2.3818 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3694 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.0124 2023/02/03 04:16:24 - mmengine - INFO - Epoch(train) [229][ 700/1879] lr: 3.7731e-03 eta: 7:26:32 time: 0.5094 data_time: 0.0343 memory: 18104 grad_norm: 6.7229 loss: 2.3971 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.3748 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.0223 2023/02/03 04:16:34 - mmengine - INFO - Epoch(train) [229][ 720/1879] lr: 3.7702e-03 eta: 7:26:22 time: 0.4933 data_time: 0.0343 memory: 18104 grad_norm: 6.6145 loss: 2.2774 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3155 top1_acc_1: 0.8471 top5_acc_1: 0.9412 loss_cls_1: 0.9619 2023/02/03 04:16:44 - mmengine - INFO - Epoch(train) [229][ 740/1879] lr: 3.7673e-03 eta: 7:26:12 time: 0.5327 data_time: 0.0393 memory: 18104 grad_norm: 6.8519 loss: 2.2481 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.2898 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.9583 2023/02/03 04:16:54 - mmengine - INFO - Epoch(train) [229][ 760/1879] lr: 3.7645e-03 eta: 7:26:01 time: 0.4898 data_time: 0.0330 memory: 18104 grad_norm: 7.0104 loss: 2.1022 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0889 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.0132 2023/02/03 04:17:05 - mmengine - INFO - Epoch(train) [229][ 780/1879] lr: 3.7616e-03 eta: 7:25:51 time: 0.5228 data_time: 0.0347 memory: 18104 grad_norm: 6.6560 loss: 2.2223 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3216 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9007 2023/02/03 04:17:15 - mmengine - INFO - Epoch(train) [229][ 800/1879] lr: 3.7587e-03 eta: 7:25:40 time: 0.5173 data_time: 0.0331 memory: 18104 grad_norm: 7.0059 loss: 2.3982 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.3184 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.0797 2023/02/03 04:17:26 - mmengine - INFO - Epoch(train) [229][ 820/1879] lr: 3.7559e-03 eta: 7:25:30 time: 0.5164 data_time: 0.0421 memory: 18104 grad_norm: 6.8876 loss: 2.4499 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3683 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0816 2023/02/03 04:17:36 - mmengine - INFO - Epoch(train) [229][ 840/1879] lr: 3.7530e-03 eta: 7:25:20 time: 0.5095 data_time: 0.0321 memory: 18104 grad_norm: 6.8546 loss: 2.4615 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.4294 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 1.0320 2023/02/03 04:17:46 - mmengine - INFO - Epoch(train) [229][ 860/1879] lr: 3.7501e-03 eta: 7:25:09 time: 0.5143 data_time: 0.0355 memory: 18104 grad_norm: 6.9439 loss: 2.2379 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2562 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 0.9816 2023/02/03 04:17:56 - mmengine - INFO - Epoch(train) [229][ 880/1879] lr: 3.7473e-03 eta: 7:24:59 time: 0.5135 data_time: 0.0404 memory: 18104 grad_norm: 6.7883 loss: 2.6583 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.6720 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9864 2023/02/03 04:18:06 - mmengine - INFO - Epoch(train) [229][ 900/1879] lr: 3.7444e-03 eta: 7:24:49 time: 0.5008 data_time: 0.0366 memory: 18104 grad_norm: 6.9780 loss: 2.3638 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3346 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.0292 2023/02/03 04:18:16 - mmengine - INFO - Epoch(train) [229][ 920/1879] lr: 3.7415e-03 eta: 7:24:38 time: 0.4977 data_time: 0.0343 memory: 18104 grad_norm: 6.9986 loss: 2.4329 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4576 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.9752 2023/02/03 04:18:27 - mmengine - INFO - Epoch(train) [229][ 940/1879] lr: 3.7387e-03 eta: 7:24:28 time: 0.5216 data_time: 0.0382 memory: 18104 grad_norm: 6.9106 loss: 2.3822 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4105 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9717 2023/02/03 04:18:37 - mmengine - INFO - Epoch(train) [229][ 960/1879] lr: 3.7358e-03 eta: 7:24:17 time: 0.5016 data_time: 0.0383 memory: 18104 grad_norm: 6.8378 loss: 2.4017 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.3688 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.0329 2023/02/03 04:18:47 - mmengine - INFO - Epoch(train) [229][ 980/1879] lr: 3.7330e-03 eta: 7:24:07 time: 0.5212 data_time: 0.0349 memory: 18104 grad_norm: 6.7142 loss: 2.3027 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.3431 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9597 2023/02/03 04:18:58 - mmengine - INFO - Epoch(train) [229][1000/1879] lr: 3.7301e-03 eta: 7:23:57 time: 0.5092 data_time: 0.0329 memory: 18104 grad_norm: 6.9268 loss: 2.3758 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3813 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 0.9945 2023/02/03 04:19:08 - mmengine - INFO - Epoch(train) [229][1020/1879] lr: 3.7273e-03 eta: 7:23:46 time: 0.5129 data_time: 0.0421 memory: 18104 grad_norm: 6.9887 loss: 2.4688 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4277 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.0412 2023/02/03 04:19:18 - mmengine - INFO - Epoch(train) [229][1040/1879] lr: 3.7244e-03 eta: 7:23:36 time: 0.5175 data_time: 0.0328 memory: 18104 grad_norm: 6.6140 loss: 2.4048 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4021 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 1.0027 2023/02/03 04:19:28 - mmengine - INFO - Epoch(train) [229][1060/1879] lr: 3.7216e-03 eta: 7:23:26 time: 0.5112 data_time: 0.0352 memory: 18104 grad_norm: 7.0188 loss: 2.4226 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3439 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 1.0787 2023/02/03 04:19:39 - mmengine - INFO - Epoch(train) [229][1080/1879] lr: 3.7187e-03 eta: 7:23:15 time: 0.5118 data_time: 0.0348 memory: 18104 grad_norm: 6.8388 loss: 2.4560 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4447 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 1.0113 2023/02/03 04:19:49 - mmengine - INFO - Epoch(train) [229][1100/1879] lr: 3.7159e-03 eta: 7:23:05 time: 0.5149 data_time: 0.0426 memory: 18104 grad_norm: 6.8091 loss: 2.3720 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4018 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9702 2023/02/03 04:19:59 - mmengine - INFO - Epoch(train) [229][1120/1879] lr: 3.7130e-03 eta: 7:22:55 time: 0.5093 data_time: 0.0325 memory: 18104 grad_norm: 6.7333 loss: 2.4141 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.4153 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9988 2023/02/03 04:20:10 - mmengine - INFO - Epoch(train) [229][1140/1879] lr: 3.7102e-03 eta: 7:22:44 time: 0.5183 data_time: 0.0368 memory: 18104 grad_norm: 6.8910 loss: 2.4171 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3696 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.0474 2023/02/03 04:20:20 - mmengine - INFO - Epoch(train) [229][1160/1879] lr: 3.7073e-03 eta: 7:22:34 time: 0.5067 data_time: 0.0397 memory: 18104 grad_norm: 6.6908 loss: 2.3610 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.3340 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.0269 2023/02/03 04:20:30 - mmengine - INFO - Epoch(train) [229][1180/1879] lr: 3.7045e-03 eta: 7:22:24 time: 0.5220 data_time: 0.0363 memory: 18104 grad_norm: 6.7135 loss: 2.3731 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2927 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 1.0803 2023/02/03 04:20:40 - mmengine - INFO - Epoch(train) [229][1200/1879] lr: 3.7016e-03 eta: 7:22:13 time: 0.5026 data_time: 0.0331 memory: 18104 grad_norm: 7.0254 loss: 2.3772 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3368 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.0404 2023/02/03 04:20:51 - mmengine - INFO - Epoch(train) [229][1220/1879] lr: 3.6988e-03 eta: 7:22:03 time: 0.5192 data_time: 0.0403 memory: 18104 grad_norm: 6.9124 loss: 2.3159 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2593 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 1.0566 2023/02/03 04:21:01 - mmengine - INFO - Epoch(train) [229][1240/1879] lr: 3.6959e-03 eta: 7:21:53 time: 0.5153 data_time: 0.0355 memory: 18104 grad_norm: 6.6244 loss: 2.2727 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3136 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 0.9590 2023/02/03 04:21:12 - mmengine - INFO - Epoch(train) [229][1260/1879] lr: 3.6931e-03 eta: 7:21:42 time: 0.5226 data_time: 0.0386 memory: 18104 grad_norm: 6.8613 loss: 2.3305 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.2871 top1_acc_1: 0.8471 top5_acc_1: 0.9176 loss_cls_1: 1.0434 2023/02/03 04:21:22 - mmengine - INFO - Epoch(train) [229][1280/1879] lr: 3.6903e-03 eta: 7:21:32 time: 0.5003 data_time: 0.0308 memory: 18104 grad_norm: 6.8439 loss: 2.3796 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3433 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.0362 2023/02/03 04:21:32 - mmengine - INFO - Epoch(train) [229][1300/1879] lr: 3.6874e-03 eta: 7:21:22 time: 0.5358 data_time: 0.0380 memory: 18104 grad_norm: 6.8316 loss: 2.5170 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4751 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 1.0418 2023/02/03 04:21:42 - mmengine - INFO - Epoch(train) [229][1320/1879] lr: 3.6846e-03 eta: 7:21:11 time: 0.4938 data_time: 0.0314 memory: 18104 grad_norm: 6.8532 loss: 2.3228 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3166 top1_acc_1: 0.8824 top5_acc_1: 0.9529 loss_cls_1: 1.0063 2023/02/03 04:21:53 - mmengine - INFO - Epoch(train) [229][1340/1879] lr: 3.6818e-03 eta: 7:21:01 time: 0.5207 data_time: 0.0383 memory: 18104 grad_norm: 6.9426 loss: 2.3519 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3311 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 1.0208 2023/02/03 04:22:03 - mmengine - INFO - Epoch(train) [229][1360/1879] lr: 3.6789e-03 eta: 7:20:50 time: 0.5009 data_time: 0.0293 memory: 18104 grad_norm: 6.7596 loss: 2.2824 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.2915 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.9909 2023/02/03 04:22:13 - mmengine - INFO - Epoch(train) [229][1380/1879] lr: 3.6761e-03 eta: 7:20:40 time: 0.5145 data_time: 0.0440 memory: 18104 grad_norm: 6.7959 loss: 2.2789 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.3021 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.9768 2023/02/03 04:22:23 - mmengine - INFO - Epoch(train) [229][1400/1879] lr: 3.6732e-03 eta: 7:20:30 time: 0.4935 data_time: 0.0309 memory: 18104 grad_norm: 6.8208 loss: 2.3723 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3543 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.0180 2023/02/03 04:22:33 - mmengine - INFO - Epoch(train) [229][1420/1879] lr: 3.6704e-03 eta: 7:20:19 time: 0.5222 data_time: 0.0398 memory: 18104 grad_norm: 6.8865 loss: 2.3962 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3297 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 1.0665 2023/02/03 04:22:44 - mmengine - INFO - Epoch(train) [229][1440/1879] lr: 3.6676e-03 eta: 7:20:09 time: 0.5079 data_time: 0.0305 memory: 18104 grad_norm: 6.9096 loss: 2.2427 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2562 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9865 2023/02/03 04:22:54 - mmengine - INFO - Epoch(train) [229][1460/1879] lr: 3.6648e-03 eta: 7:19:59 time: 0.5324 data_time: 0.0428 memory: 18104 grad_norm: 6.9476 loss: 2.4147 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4010 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 1.0136 2023/02/03 04:23:05 - mmengine - INFO - Epoch(train) [229][1480/1879] lr: 3.6619e-03 eta: 7:19:48 time: 0.5218 data_time: 0.0302 memory: 18104 grad_norm: 6.6549 loss: 2.2721 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2423 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 1.0298 2023/02/03 04:23:15 - mmengine - INFO - Epoch(train) [229][1500/1879] lr: 3.6591e-03 eta: 7:19:38 time: 0.5236 data_time: 0.0373 memory: 18104 grad_norm: 6.7596 loss: 2.4313 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.4482 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9831 2023/02/03 04:23:25 - mmengine - INFO - Epoch(train) [229][1520/1879] lr: 3.6563e-03 eta: 7:19:28 time: 0.5153 data_time: 0.0380 memory: 18104 grad_norm: 6.8150 loss: 2.4568 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.4373 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.0194 2023/02/03 04:23:36 - mmengine - INFO - Epoch(train) [229][1540/1879] lr: 3.6534e-03 eta: 7:19:18 time: 0.5168 data_time: 0.0375 memory: 18104 grad_norm: 6.8370 loss: 2.3787 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3402 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.0385 2023/02/03 04:23:46 - mmengine - INFO - Epoch(train) [229][1560/1879] lr: 3.6506e-03 eta: 7:19:07 time: 0.5276 data_time: 0.0317 memory: 18104 grad_norm: 6.7923 loss: 2.2614 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2228 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.0386 2023/02/03 04:23:57 - mmengine - INFO - Epoch(train) [229][1580/1879] lr: 3.6478e-03 eta: 7:18:57 time: 0.5286 data_time: 0.0449 memory: 18104 grad_norm: 7.0470 loss: 2.3190 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3913 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9276 2023/02/03 04:24:01 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 04:24:07 - mmengine - INFO - Epoch(train) [229][1600/1879] lr: 3.6450e-03 eta: 7:18:47 time: 0.5080 data_time: 0.0308 memory: 18104 grad_norm: 6.8893 loss: 2.1555 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1620 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9935 2023/02/03 04:24:18 - mmengine - INFO - Epoch(train) [229][1620/1879] lr: 3.6421e-03 eta: 7:18:37 time: 0.5406 data_time: 0.0385 memory: 18104 grad_norm: 6.8053 loss: 2.4392 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.4294 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 1.0098 2023/02/03 04:24:29 - mmengine - INFO - Epoch(train) [229][1640/1879] lr: 3.6393e-03 eta: 7:18:26 time: 0.5355 data_time: 0.0424 memory: 18104 grad_norm: 6.8346 loss: 2.2895 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2569 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.0327 2023/02/03 04:24:39 - mmengine - INFO - Epoch(train) [229][1660/1879] lr: 3.6365e-03 eta: 7:18:16 time: 0.5155 data_time: 0.0370 memory: 18104 grad_norm: 6.8014 loss: 2.4297 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3351 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.0946 2023/02/03 04:24:49 - mmengine - INFO - Epoch(train) [229][1680/1879] lr: 3.6337e-03 eta: 7:18:06 time: 0.5175 data_time: 0.0320 memory: 18104 grad_norm: 6.7859 loss: 2.3221 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.3266 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.9956 2023/02/03 04:25:00 - mmengine - INFO - Epoch(train) [229][1700/1879] lr: 3.6309e-03 eta: 7:17:56 time: 0.5478 data_time: 0.0365 memory: 18104 grad_norm: 6.9163 loss: 2.1675 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1496 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 1.0178 2023/02/03 04:25:11 - mmengine - INFO - Epoch(train) [229][1720/1879] lr: 3.6280e-03 eta: 7:17:46 time: 0.5221 data_time: 0.0305 memory: 18104 grad_norm: 6.9787 loss: 2.4013 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4036 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9977 2023/02/03 04:25:21 - mmengine - INFO - Epoch(train) [229][1740/1879] lr: 3.6252e-03 eta: 7:17:35 time: 0.5194 data_time: 0.0370 memory: 18104 grad_norm: 6.9787 loss: 2.2582 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2726 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 0.9855 2023/02/03 04:25:32 - mmengine - INFO - Epoch(train) [229][1760/1879] lr: 3.6224e-03 eta: 7:17:25 time: 0.5194 data_time: 0.0305 memory: 18104 grad_norm: 7.0295 loss: 2.3461 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.3272 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.0188 2023/02/03 04:25:43 - mmengine - INFO - Epoch(train) [229][1780/1879] lr: 3.6196e-03 eta: 7:17:15 time: 0.5465 data_time: 0.0357 memory: 18104 grad_norm: 6.7906 loss: 2.4708 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.3898 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.0810 2023/02/03 04:25:53 - mmengine - INFO - Epoch(train) [229][1800/1879] lr: 3.6168e-03 eta: 7:17:05 time: 0.5120 data_time: 0.0310 memory: 18104 grad_norm: 7.0640 loss: 2.5203 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.5540 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9663 2023/02/03 04:26:04 - mmengine - INFO - Epoch(train) [229][1820/1879] lr: 3.6140e-03 eta: 7:16:54 time: 0.5252 data_time: 0.0348 memory: 18104 grad_norm: 6.8781 loss: 2.2353 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.2962 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9391 2023/02/03 04:26:14 - mmengine - INFO - Epoch(train) [229][1840/1879] lr: 3.6112e-03 eta: 7:16:44 time: 0.5290 data_time: 0.0292 memory: 18104 grad_norm: 6.8851 loss: 2.6083 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.5580 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.0503 2023/02/03 04:26:25 - mmengine - INFO - Epoch(train) [229][1860/1879] lr: 3.6084e-03 eta: 7:16:34 time: 0.5220 data_time: 0.0346 memory: 18104 grad_norm: 6.6743 loss: 2.4699 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.3870 top1_acc_1: 0.8824 top5_acc_1: 0.9882 loss_cls_1: 1.0829 2023/02/03 04:26:34 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 04:26:34 - mmengine - INFO - Epoch(train) [229][1879/1879] lr: 3.6057e-03 eta: 7:16:24 time: 0.4886 data_time: 0.0271 memory: 18104 grad_norm: 7.1408 loss: 2.6637 top1_acc_0: 0.5714 top5_acc_0: 0.8571 loss_cls_0: 1.6813 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 0.9824 2023/02/03 04:26:49 - mmengine - INFO - Epoch(train) [230][ 20/1879] lr: 3.6029e-03 eta: 7:16:15 time: 0.7218 data_time: 0.2486 memory: 18104 grad_norm: 6.7755 loss: 2.2837 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3362 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 0.9475 2023/02/03 04:26:59 - mmengine - INFO - Epoch(train) [230][ 40/1879] lr: 3.6001e-03 eta: 7:16:05 time: 0.4804 data_time: 0.0315 memory: 18104 grad_norm: 6.9238 loss: 2.2446 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.3044 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9403 2023/02/03 04:27:09 - mmengine - INFO - Epoch(train) [230][ 60/1879] lr: 3.5973e-03 eta: 7:15:54 time: 0.5076 data_time: 0.0496 memory: 18104 grad_norm: 6.7603 loss: 2.3404 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3059 top1_acc_1: 0.8471 top5_acc_1: 0.9412 loss_cls_1: 1.0345 2023/02/03 04:27:19 - mmengine - INFO - Epoch(train) [230][ 80/1879] lr: 3.5945e-03 eta: 7:15:44 time: 0.5155 data_time: 0.0303 memory: 18104 grad_norm: 6.8968 loss: 2.2769 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3180 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 0.9589 2023/02/03 04:27:29 - mmengine - INFO - Epoch(train) [230][ 100/1879] lr: 3.5917e-03 eta: 7:15:34 time: 0.4912 data_time: 0.0418 memory: 18104 grad_norm: 6.6020 loss: 2.1762 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2452 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.9310 2023/02/03 04:27:39 - mmengine - INFO - Epoch(train) [230][ 120/1879] lr: 3.5889e-03 eta: 7:15:23 time: 0.4890 data_time: 0.0327 memory: 18104 grad_norm: 6.8046 loss: 2.3232 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3306 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 0.9926 2023/02/03 04:27:50 - mmengine - INFO - Epoch(train) [230][ 140/1879] lr: 3.5861e-03 eta: 7:15:13 time: 0.5372 data_time: 0.0432 memory: 18104 grad_norm: 6.9119 loss: 2.3334 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.3059 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.0275 2023/02/03 04:28:00 - mmengine - INFO - Epoch(train) [230][ 160/1879] lr: 3.5833e-03 eta: 7:15:02 time: 0.5094 data_time: 0.0354 memory: 18104 grad_norm: 6.7896 loss: 2.1816 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2227 top1_acc_1: 0.7647 top5_acc_1: 0.8706 loss_cls_1: 0.9589 2023/02/03 04:28:10 - mmengine - INFO - Epoch(train) [230][ 180/1879] lr: 3.5805e-03 eta: 7:14:52 time: 0.5035 data_time: 0.0356 memory: 18104 grad_norm: 6.9058 loss: 2.4426 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4104 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.0322 2023/02/03 04:28:21 - mmengine - INFO - Epoch(train) [230][ 200/1879] lr: 3.5777e-03 eta: 7:14:42 time: 0.5278 data_time: 0.0397 memory: 18104 grad_norm: 6.8369 loss: 2.3812 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4199 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9613 2023/02/03 04:28:31 - mmengine - INFO - Epoch(train) [230][ 220/1879] lr: 3.5749e-03 eta: 7:14:32 time: 0.5212 data_time: 0.0355 memory: 18104 grad_norm: 6.7976 loss: 2.2852 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2720 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.0132 2023/02/03 04:28:41 - mmengine - INFO - Epoch(train) [230][ 240/1879] lr: 3.5721e-03 eta: 7:14:21 time: 0.5024 data_time: 0.0336 memory: 18104 grad_norm: 6.9665 loss: 2.3643 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.3197 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 1.0445 2023/02/03 04:28:52 - mmengine - INFO - Epoch(train) [230][ 260/1879] lr: 3.5693e-03 eta: 7:14:11 time: 0.5214 data_time: 0.0356 memory: 18104 grad_norm: 6.7781 loss: 2.2989 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3608 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 0.9381 2023/02/03 04:29:02 - mmengine - INFO - Epoch(train) [230][ 280/1879] lr: 3.5665e-03 eta: 7:14:01 time: 0.5255 data_time: 0.0424 memory: 18104 grad_norm: 6.8809 loss: 2.2904 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2741 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.0163 2023/02/03 04:29:12 - mmengine - INFO - Epoch(train) [230][ 300/1879] lr: 3.5637e-03 eta: 7:13:50 time: 0.5055 data_time: 0.0331 memory: 18104 grad_norm: 6.9434 loss: 2.4392 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.4628 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 0.9764 2023/02/03 04:29:23 - mmengine - INFO - Epoch(train) [230][ 320/1879] lr: 3.5609e-03 eta: 7:13:40 time: 0.5169 data_time: 0.0349 memory: 18104 grad_norm: 6.8266 loss: 2.2562 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2409 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.0154 2023/02/03 04:29:33 - mmengine - INFO - Epoch(train) [230][ 340/1879] lr: 3.5581e-03 eta: 7:13:30 time: 0.5246 data_time: 0.0404 memory: 18104 grad_norm: 6.9629 loss: 2.2157 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2280 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 0.9877 2023/02/03 04:29:43 - mmengine - INFO - Epoch(train) [230][ 360/1879] lr: 3.5553e-03 eta: 7:13:19 time: 0.5122 data_time: 0.0337 memory: 18104 grad_norm: 6.7237 loss: 2.3974 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.3740 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.0235 2023/02/03 04:29:53 - mmengine - INFO - Epoch(train) [230][ 380/1879] lr: 3.5525e-03 eta: 7:13:09 time: 0.5035 data_time: 0.0341 memory: 18104 grad_norm: 7.1476 loss: 2.2689 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2392 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.0297 2023/02/03 04:30:04 - mmengine - INFO - Epoch(train) [230][ 400/1879] lr: 3.5497e-03 eta: 7:12:59 time: 0.5251 data_time: 0.0353 memory: 18104 grad_norm: 6.9375 loss: 2.3602 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3409 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 1.0193 2023/02/03 04:30:14 - mmengine - INFO - Epoch(train) [230][ 420/1879] lr: 3.5470e-03 eta: 7:12:48 time: 0.5145 data_time: 0.0412 memory: 18104 grad_norm: 6.9058 loss: 2.2182 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.1953 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.0229 2023/02/03 04:30:25 - mmengine - INFO - Epoch(train) [230][ 440/1879] lr: 3.5442e-03 eta: 7:12:38 time: 0.5100 data_time: 0.0341 memory: 18104 grad_norm: 6.9383 loss: 2.2938 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.2321 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0616 2023/02/03 04:30:35 - mmengine - INFO - Epoch(train) [230][ 460/1879] lr: 3.5414e-03 eta: 7:12:27 time: 0.5155 data_time: 0.0316 memory: 18104 grad_norm: 6.8560 loss: 2.2876 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3241 top1_acc_1: 0.8471 top5_acc_1: 0.9765 loss_cls_1: 0.9635 2023/02/03 04:30:45 - mmengine - INFO - Epoch(train) [230][ 480/1879] lr: 3.5386e-03 eta: 7:12:17 time: 0.5250 data_time: 0.0417 memory: 18104 grad_norm: 6.8981 loss: 2.4459 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4361 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.0098 2023/02/03 04:30:55 - mmengine - INFO - Epoch(train) [230][ 500/1879] lr: 3.5358e-03 eta: 7:12:07 time: 0.5030 data_time: 0.0325 memory: 18104 grad_norm: 6.6822 loss: 2.3951 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.3779 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 1.0172 2023/02/03 04:31:06 - mmengine - INFO - Epoch(train) [230][ 520/1879] lr: 3.5330e-03 eta: 7:11:57 time: 0.5343 data_time: 0.0337 memory: 18104 grad_norm: 6.9899 loss: 2.4302 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.3918 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 1.0384 2023/02/03 04:31:16 - mmengine - INFO - Epoch(train) [230][ 540/1879] lr: 3.5303e-03 eta: 7:11:46 time: 0.5078 data_time: 0.0357 memory: 18104 grad_norm: 6.9586 loss: 2.2883 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2709 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.0174 2023/02/03 04:31:27 - mmengine - INFO - Epoch(train) [230][ 560/1879] lr: 3.5275e-03 eta: 7:11:36 time: 0.5207 data_time: 0.0419 memory: 18104 grad_norm: 6.9858 loss: 2.4976 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4564 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.0412 2023/02/03 04:31:37 - mmengine - INFO - Epoch(train) [230][ 580/1879] lr: 3.5247e-03 eta: 7:11:26 time: 0.5120 data_time: 0.0316 memory: 18104 grad_norm: 6.8819 loss: 2.3728 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.3159 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.0570 2023/02/03 04:31:48 - mmengine - INFO - Epoch(train) [230][ 600/1879] lr: 3.5219e-03 eta: 7:11:15 time: 0.5233 data_time: 0.0363 memory: 18104 grad_norm: 6.8530 loss: 2.4680 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.3489 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.1191 2023/02/03 04:31:58 - mmengine - INFO - Epoch(train) [230][ 620/1879] lr: 3.5191e-03 eta: 7:11:05 time: 0.5062 data_time: 0.0393 memory: 18104 grad_norm: 6.7793 loss: 2.4174 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.3638 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 1.0536 2023/02/03 04:32:08 - mmengine - INFO - Epoch(train) [230][ 640/1879] lr: 3.5164e-03 eta: 7:10:55 time: 0.5232 data_time: 0.0355 memory: 18104 grad_norm: 7.0435 loss: 2.3887 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.2946 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.0942 2023/02/03 04:32:19 - mmengine - INFO - Epoch(train) [230][ 660/1879] lr: 3.5136e-03 eta: 7:10:44 time: 0.5153 data_time: 0.0337 memory: 18104 grad_norm: 7.0765 loss: 2.4289 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4509 top1_acc_1: 0.7882 top5_acc_1: 0.9647 loss_cls_1: 0.9779 2023/02/03 04:32:29 - mmengine - INFO - Epoch(train) [230][ 680/1879] lr: 3.5108e-03 eta: 7:10:34 time: 0.5167 data_time: 0.0401 memory: 18104 grad_norm: 6.8371 loss: 2.4214 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.4258 top1_acc_1: 0.8588 top5_acc_1: 0.9647 loss_cls_1: 0.9956 2023/02/03 04:32:39 - mmengine - INFO - Epoch(train) [230][ 700/1879] lr: 3.5080e-03 eta: 7:10:24 time: 0.5171 data_time: 0.0340 memory: 18104 grad_norm: 6.7988 loss: 2.1647 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1377 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0270 2023/02/03 04:32:44 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 04:32:50 - mmengine - INFO - Epoch(train) [230][ 720/1879] lr: 3.5053e-03 eta: 7:10:13 time: 0.5236 data_time: 0.0355 memory: 18104 grad_norm: 6.7824 loss: 2.2597 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2605 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9993 2023/02/03 04:33:00 - mmengine - INFO - Epoch(train) [230][ 740/1879] lr: 3.5025e-03 eta: 7:10:03 time: 0.5150 data_time: 0.0332 memory: 18104 grad_norm: 6.8226 loss: 2.2230 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.2359 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 0.9871 2023/02/03 04:33:11 - mmengine - INFO - Epoch(train) [230][ 760/1879] lr: 3.4997e-03 eta: 7:09:53 time: 0.5299 data_time: 0.0475 memory: 18104 grad_norm: 6.7630 loss: 2.3487 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3906 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9582 2023/02/03 04:33:21 - mmengine - INFO - Epoch(train) [230][ 780/1879] lr: 3.4970e-03 eta: 7:09:43 time: 0.5323 data_time: 0.0306 memory: 18104 grad_norm: 6.8047 loss: 2.1567 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1958 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 0.9609 2023/02/03 04:33:32 - mmengine - INFO - Epoch(train) [230][ 800/1879] lr: 3.4942e-03 eta: 7:09:32 time: 0.5135 data_time: 0.0367 memory: 18104 grad_norm: 6.8582 loss: 2.3249 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.3017 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.0232 2023/02/03 04:33:42 - mmengine - INFO - Epoch(train) [230][ 820/1879] lr: 3.4914e-03 eta: 7:09:22 time: 0.5202 data_time: 0.0377 memory: 18104 grad_norm: 6.8643 loss: 2.1477 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2274 top1_acc_1: 0.7647 top5_acc_1: 0.8706 loss_cls_1: 0.9203 2023/02/03 04:33:53 - mmengine - INFO - Epoch(train) [230][ 840/1879] lr: 3.4887e-03 eta: 7:09:12 time: 0.5283 data_time: 0.0374 memory: 18104 grad_norm: 7.0214 loss: 2.3240 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.3104 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.0137 2023/02/03 04:34:03 - mmengine - INFO - Epoch(train) [230][ 860/1879] lr: 3.4859e-03 eta: 7:09:02 time: 0.5213 data_time: 0.0296 memory: 18104 grad_norm: 6.9200 loss: 2.4712 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4319 top1_acc_1: 0.6471 top5_acc_1: 0.9059 loss_cls_1: 1.0393 2023/02/03 04:34:14 - mmengine - INFO - Epoch(train) [230][ 880/1879] lr: 3.4832e-03 eta: 7:08:52 time: 0.5409 data_time: 0.0377 memory: 18104 grad_norm: 6.8609 loss: 2.6594 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.5718 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0876 2023/02/03 04:34:24 - mmengine - INFO - Epoch(train) [230][ 900/1879] lr: 3.4804e-03 eta: 7:08:41 time: 0.5162 data_time: 0.0291 memory: 18104 grad_norm: 6.7526 loss: 2.2950 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.2611 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0339 2023/02/03 04:34:35 - mmengine - INFO - Epoch(train) [230][ 920/1879] lr: 3.4776e-03 eta: 7:08:31 time: 0.5393 data_time: 0.0394 memory: 18104 grad_norm: 6.8414 loss: 2.1374 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1812 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9562 2023/02/03 04:34:46 - mmengine - INFO - Epoch(train) [230][ 940/1879] lr: 3.4749e-03 eta: 7:08:21 time: 0.5272 data_time: 0.0289 memory: 18104 grad_norm: 6.8568 loss: 2.4029 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.4179 top1_acc_1: 0.6706 top5_acc_1: 0.9176 loss_cls_1: 0.9850 2023/02/03 04:34:56 - mmengine - INFO - Epoch(train) [230][ 960/1879] lr: 3.4721e-03 eta: 7:08:11 time: 0.5332 data_time: 0.0382 memory: 18104 grad_norm: 6.8613 loss: 2.3212 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3329 top1_acc_1: 0.8471 top5_acc_1: 0.9647 loss_cls_1: 0.9883 2023/02/03 04:35:07 - mmengine - INFO - Epoch(train) [230][ 980/1879] lr: 3.4694e-03 eta: 7:08:00 time: 0.5249 data_time: 0.0326 memory: 18104 grad_norm: 6.7570 loss: 2.3432 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.4130 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 0.9301 2023/02/03 04:35:17 - mmengine - INFO - Epoch(train) [230][1000/1879] lr: 3.4666e-03 eta: 7:07:50 time: 0.5239 data_time: 0.0375 memory: 18104 grad_norm: 6.8983 loss: 2.3828 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.3753 top1_acc_1: 0.7765 top5_acc_1: 0.8706 loss_cls_1: 1.0075 2023/02/03 04:35:28 - mmengine - INFO - Epoch(train) [230][1020/1879] lr: 3.4638e-03 eta: 7:07:40 time: 0.5235 data_time: 0.0360 memory: 18104 grad_norm: 6.8227 loss: 2.1523 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1113 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0410 2023/02/03 04:35:39 - mmengine - INFO - Epoch(train) [230][1040/1879] lr: 3.4611e-03 eta: 7:07:30 time: 0.5306 data_time: 0.0377 memory: 18104 grad_norm: 6.8538 loss: 2.3205 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2771 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.0434 2023/02/03 04:35:49 - mmengine - INFO - Epoch(train) [230][1060/1879] lr: 3.4583e-03 eta: 7:07:19 time: 0.5173 data_time: 0.0307 memory: 18104 grad_norm: 7.0736 loss: 2.3804 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3872 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 0.9932 2023/02/03 04:36:00 - mmengine - INFO - Epoch(train) [230][1080/1879] lr: 3.4556e-03 eta: 7:07:09 time: 0.5356 data_time: 0.0479 memory: 18104 grad_norm: 6.7892 loss: 2.4421 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.3639 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.0782 2023/02/03 04:36:10 - mmengine - INFO - Epoch(train) [230][1100/1879] lr: 3.4528e-03 eta: 7:06:59 time: 0.5115 data_time: 0.0299 memory: 18104 grad_norm: 6.7868 loss: 2.3760 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3448 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 1.0312 2023/02/03 04:36:20 - mmengine - INFO - Epoch(train) [230][1120/1879] lr: 3.4501e-03 eta: 7:06:49 time: 0.5218 data_time: 0.0385 memory: 18104 grad_norm: 7.0289 loss: 2.4093 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3702 top1_acc_1: 0.7882 top5_acc_1: 0.8824 loss_cls_1: 1.0391 2023/02/03 04:36:31 - mmengine - INFO - Epoch(train) [230][1140/1879] lr: 3.4473e-03 eta: 7:06:38 time: 0.5106 data_time: 0.0301 memory: 18104 grad_norm: 6.9890 loss: 2.2147 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2140 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.0007 2023/02/03 04:36:41 - mmengine - INFO - Epoch(train) [230][1160/1879] lr: 3.4446e-03 eta: 7:06:28 time: 0.5232 data_time: 0.0446 memory: 18104 grad_norm: 6.8905 loss: 2.4079 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3887 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.0192 2023/02/03 04:36:51 - mmengine - INFO - Epoch(train) [230][1180/1879] lr: 3.4418e-03 eta: 7:06:18 time: 0.5186 data_time: 0.0282 memory: 18104 grad_norm: 6.9453 loss: 2.5478 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5760 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 0.9719 2023/02/03 04:37:02 - mmengine - INFO - Epoch(train) [230][1200/1879] lr: 3.4391e-03 eta: 7:06:07 time: 0.5239 data_time: 0.0372 memory: 18104 grad_norm: 6.9338 loss: 2.3818 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3107 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.0711 2023/02/03 04:37:12 - mmengine - INFO - Epoch(train) [230][1220/1879] lr: 3.4364e-03 eta: 7:05:57 time: 0.5244 data_time: 0.0306 memory: 18104 grad_norm: 6.8661 loss: 2.2079 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2218 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 0.9862 2023/02/03 04:37:23 - mmengine - INFO - Epoch(train) [230][1240/1879] lr: 3.4336e-03 eta: 7:05:47 time: 0.5237 data_time: 0.0382 memory: 18104 grad_norm: 6.6804 loss: 2.2606 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.3043 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9564 2023/02/03 04:37:33 - mmengine - INFO - Epoch(train) [230][1260/1879] lr: 3.4309e-03 eta: 7:05:37 time: 0.5151 data_time: 0.0287 memory: 18104 grad_norm: 7.1618 loss: 2.4321 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4140 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0182 2023/02/03 04:37:44 - mmengine - INFO - Epoch(train) [230][1280/1879] lr: 3.4281e-03 eta: 7:05:26 time: 0.5281 data_time: 0.0368 memory: 18104 grad_norm: 7.1423 loss: 2.3319 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.3120 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 1.0199 2023/02/03 04:37:54 - mmengine - INFO - Epoch(train) [230][1300/1879] lr: 3.4254e-03 eta: 7:05:16 time: 0.5197 data_time: 0.0282 memory: 18104 grad_norm: 6.9531 loss: 2.6501 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.6274 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.0227 2023/02/03 04:38:05 - mmengine - INFO - Epoch(train) [230][1320/1879] lr: 3.4226e-03 eta: 7:05:06 time: 0.5300 data_time: 0.0384 memory: 18104 grad_norm: 6.8225 loss: 2.2545 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1813 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.0732 2023/02/03 04:38:15 - mmengine - INFO - Epoch(train) [230][1340/1879] lr: 3.4199e-03 eta: 7:04:56 time: 0.5107 data_time: 0.0288 memory: 18104 grad_norm: 6.8783 loss: 2.3141 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2728 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.0413 2023/02/03 04:38:26 - mmengine - INFO - Epoch(train) [230][1360/1879] lr: 3.4172e-03 eta: 7:04:45 time: 0.5276 data_time: 0.0347 memory: 18104 grad_norm: 7.0306 loss: 2.5326 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.5033 top1_acc_1: 0.8471 top5_acc_1: 0.9294 loss_cls_1: 1.0293 2023/02/03 04:38:36 - mmengine - INFO - Epoch(train) [230][1380/1879] lr: 3.4144e-03 eta: 7:04:35 time: 0.5182 data_time: 0.0304 memory: 18104 grad_norm: 6.8963 loss: 2.4312 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.4274 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.0038 2023/02/03 04:38:47 - mmengine - INFO - Epoch(train) [230][1400/1879] lr: 3.4117e-03 eta: 7:04:25 time: 0.5279 data_time: 0.0476 memory: 18104 grad_norm: 6.8225 loss: 2.3018 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3037 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9981 2023/02/03 04:38:57 - mmengine - INFO - Epoch(train) [230][1420/1879] lr: 3.4090e-03 eta: 7:04:15 time: 0.5198 data_time: 0.0298 memory: 18104 grad_norm: 6.9834 loss: 2.3536 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4174 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9362 2023/02/03 04:39:08 - mmengine - INFO - Epoch(train) [230][1440/1879] lr: 3.4062e-03 eta: 7:04:04 time: 0.5383 data_time: 0.0425 memory: 18104 grad_norm: 7.0683 loss: 2.3541 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.3706 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.9835 2023/02/03 04:39:18 - mmengine - INFO - Epoch(train) [230][1460/1879] lr: 3.4035e-03 eta: 7:03:54 time: 0.5230 data_time: 0.0303 memory: 18104 grad_norm: 7.0025 loss: 2.4153 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3551 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 1.0602 2023/02/03 04:39:29 - mmengine - INFO - Epoch(train) [230][1480/1879] lr: 3.4008e-03 eta: 7:03:44 time: 0.5409 data_time: 0.0427 memory: 18104 grad_norm: 6.9590 loss: 2.3420 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3039 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.0381 2023/02/03 04:39:40 - mmengine - INFO - Epoch(train) [230][1500/1879] lr: 3.3980e-03 eta: 7:03:34 time: 0.5165 data_time: 0.0302 memory: 18104 grad_norm: 6.7797 loss: 2.3467 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.3400 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.0067 2023/02/03 04:39:50 - mmengine - INFO - Epoch(train) [230][1520/1879] lr: 3.3953e-03 eta: 7:03:24 time: 0.5315 data_time: 0.0364 memory: 18104 grad_norm: 7.0874 loss: 2.3241 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3435 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.9806 2023/02/03 04:40:01 - mmengine - INFO - Epoch(train) [230][1540/1879] lr: 3.3926e-03 eta: 7:03:13 time: 0.5168 data_time: 0.0337 memory: 18104 grad_norm: 6.9277 loss: 2.2287 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2045 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.0243 2023/02/03 04:40:11 - mmengine - INFO - Epoch(train) [230][1560/1879] lr: 3.3899e-03 eta: 7:03:03 time: 0.5361 data_time: 0.0408 memory: 18104 grad_norm: 6.7512 loss: 2.4090 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.3479 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.0612 2023/02/03 04:40:22 - mmengine - INFO - Epoch(train) [230][1580/1879] lr: 3.3871e-03 eta: 7:02:53 time: 0.5300 data_time: 0.0294 memory: 18104 grad_norm: 7.0187 loss: 2.5145 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.5416 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9728 2023/02/03 04:40:33 - mmengine - INFO - Epoch(train) [230][1600/1879] lr: 3.3844e-03 eta: 7:02:43 time: 0.5275 data_time: 0.0470 memory: 18104 grad_norm: 7.0238 loss: 2.0840 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0539 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.0302 2023/02/03 04:40:43 - mmengine - INFO - Epoch(train) [230][1620/1879] lr: 3.3817e-03 eta: 7:02:32 time: 0.5233 data_time: 0.0312 memory: 18104 grad_norm: 7.0169 loss: 2.4946 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.4331 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.0615 2023/02/03 04:40:54 - mmengine - INFO - Epoch(train) [230][1640/1879] lr: 3.3790e-03 eta: 7:02:22 time: 0.5257 data_time: 0.0370 memory: 18104 grad_norm: 6.9784 loss: 2.5275 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.5302 top1_acc_1: 0.8118 top5_acc_1: 0.9647 loss_cls_1: 0.9973 2023/02/03 04:41:04 - mmengine - INFO - Epoch(train) [230][1660/1879] lr: 3.3762e-03 eta: 7:02:12 time: 0.5265 data_time: 0.0327 memory: 18104 grad_norm: 7.0245 loss: 2.3122 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2968 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.0154 2023/02/03 04:41:15 - mmengine - INFO - Epoch(train) [230][1680/1879] lr: 3.3735e-03 eta: 7:02:02 time: 0.5231 data_time: 0.0338 memory: 18104 grad_norm: 6.9959 loss: 2.3313 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.3028 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.0285 2023/02/03 04:41:25 - mmengine - INFO - Epoch(train) [230][1700/1879] lr: 3.3708e-03 eta: 7:01:51 time: 0.5184 data_time: 0.0299 memory: 18104 grad_norm: 7.0030 loss: 2.4450 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.4688 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9762 2023/02/03 04:41:30 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 04:41:36 - mmengine - INFO - Epoch(train) [230][1720/1879] lr: 3.3681e-03 eta: 7:01:41 time: 0.5238 data_time: 0.0377 memory: 18104 grad_norm: 7.1151 loss: 2.4325 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3873 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 1.0452 2023/02/03 04:41:46 - mmengine - INFO - Epoch(train) [230][1740/1879] lr: 3.3654e-03 eta: 7:01:31 time: 0.5226 data_time: 0.0295 memory: 18104 grad_norm: 7.0640 loss: 2.3546 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3704 top1_acc_1: 0.7647 top5_acc_1: 0.8471 loss_cls_1: 0.9842 2023/02/03 04:41:57 - mmengine - INFO - Epoch(train) [230][1760/1879] lr: 3.3627e-03 eta: 7:01:21 time: 0.5365 data_time: 0.0375 memory: 18104 grad_norm: 7.0607 loss: 2.3506 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.2699 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 1.0807 2023/02/03 04:42:07 - mmengine - INFO - Epoch(train) [230][1780/1879] lr: 3.3599e-03 eta: 7:01:10 time: 0.5236 data_time: 0.0331 memory: 18104 grad_norm: 6.7163 loss: 2.2715 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.2413 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.0302 2023/02/03 04:42:18 - mmengine - INFO - Epoch(train) [230][1800/1879] lr: 3.3572e-03 eta: 7:01:00 time: 0.5323 data_time: 0.0392 memory: 18104 grad_norm: 7.1068 loss: 2.3688 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.3237 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.0451 2023/02/03 04:42:28 - mmengine - INFO - Epoch(train) [230][1820/1879] lr: 3.3545e-03 eta: 7:00:50 time: 0.5226 data_time: 0.0276 memory: 18104 grad_norm: 6.8858 loss: 2.2669 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2070 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.0599 2023/02/03 04:42:39 - mmengine - INFO - Epoch(train) [230][1840/1879] lr: 3.3518e-03 eta: 7:00:40 time: 0.5213 data_time: 0.0366 memory: 18104 grad_norm: 6.9883 loss: 2.4024 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3544 top1_acc_1: 0.7529 top5_acc_1: 0.8588 loss_cls_1: 1.0480 2023/02/03 04:42:49 - mmengine - INFO - Epoch(train) [230][1860/1879] lr: 3.3491e-03 eta: 7:00:29 time: 0.5169 data_time: 0.0365 memory: 18104 grad_norm: 7.0446 loss: 2.2201 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2062 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 1.0140 2023/02/03 04:42:59 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 04:42:59 - mmengine - INFO - Epoch(train) [230][1879/1879] lr: 3.3465e-03 eta: 7:00:19 time: 0.4943 data_time: 0.0339 memory: 18104 grad_norm: 7.1855 loss: 2.4134 top1_acc_0: 0.8571 top5_acc_0: 1.0000 loss_cls_0: 1.4562 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.9573 2023/02/03 04:43:14 - mmengine - INFO - Epoch(train) [231][ 20/1879] lr: 3.3438e-03 eta: 7:00:11 time: 0.7171 data_time: 0.2562 memory: 18104 grad_norm: 6.9983 loss: 2.2357 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.2238 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.0119 2023/02/03 04:43:23 - mmengine - INFO - Epoch(train) [231][ 40/1879] lr: 3.3411e-03 eta: 7:00:00 time: 0.4683 data_time: 0.0320 memory: 18104 grad_norm: 6.8232 loss: 2.3865 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.4444 top1_acc_1: 0.7765 top5_acc_1: 0.9647 loss_cls_1: 0.9421 2023/02/03 04:43:33 - mmengine - INFO - Epoch(train) [231][ 60/1879] lr: 3.3384e-03 eta: 6:59:50 time: 0.4885 data_time: 0.0415 memory: 18104 grad_norm: 6.8333 loss: 2.3582 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.3667 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 0.9915 2023/02/03 04:43:43 - mmengine - INFO - Epoch(train) [231][ 80/1879] lr: 3.3357e-03 eta: 6:59:39 time: 0.5074 data_time: 0.0406 memory: 18104 grad_norm: 7.0769 loss: 2.2610 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2301 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.0309 2023/02/03 04:43:53 - mmengine - INFO - Epoch(train) [231][ 100/1879] lr: 3.3330e-03 eta: 6:59:29 time: 0.4912 data_time: 0.0373 memory: 18104 grad_norm: 6.9266 loss: 2.3105 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3522 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9583 2023/02/03 04:44:03 - mmengine - INFO - Epoch(train) [231][ 120/1879] lr: 3.3303e-03 eta: 6:59:18 time: 0.4849 data_time: 0.0351 memory: 18104 grad_norm: 6.7677 loss: 2.3099 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.2649 top1_acc_1: 0.8000 top5_acc_1: 0.8941 loss_cls_1: 1.0450 2023/02/03 04:44:13 - mmengine - INFO - Epoch(train) [231][ 140/1879] lr: 3.3276e-03 eta: 6:59:08 time: 0.5051 data_time: 0.0350 memory: 18104 grad_norm: 6.9541 loss: 2.1919 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2613 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9305 2023/02/03 04:44:23 - mmengine - INFO - Epoch(train) [231][ 160/1879] lr: 3.3249e-03 eta: 6:58:57 time: 0.4998 data_time: 0.0407 memory: 18104 grad_norm: 7.0638 loss: 2.4685 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4351 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.0334 2023/02/03 04:44:33 - mmengine - INFO - Epoch(train) [231][ 180/1879] lr: 3.3222e-03 eta: 6:58:47 time: 0.4938 data_time: 0.0400 memory: 18104 grad_norm: 6.8514 loss: 2.3668 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.3820 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 0.9848 2023/02/03 04:44:43 - mmengine - INFO - Epoch(train) [231][ 200/1879] lr: 3.3195e-03 eta: 6:58:36 time: 0.4936 data_time: 0.0331 memory: 18104 grad_norm: 6.8923 loss: 2.4321 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.3435 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.0887 2023/02/03 04:44:53 - mmengine - INFO - Epoch(train) [231][ 220/1879] lr: 3.3168e-03 eta: 6:58:26 time: 0.5062 data_time: 0.0420 memory: 18104 grad_norm: 6.8668 loss: 2.3076 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3213 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 0.9863 2023/02/03 04:45:03 - mmengine - INFO - Epoch(train) [231][ 240/1879] lr: 3.3141e-03 eta: 6:58:15 time: 0.4928 data_time: 0.0310 memory: 18104 grad_norm: 6.9434 loss: 2.3227 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3440 top1_acc_1: 0.7647 top5_acc_1: 0.9647 loss_cls_1: 0.9788 2023/02/03 04:45:12 - mmengine - INFO - Epoch(train) [231][ 260/1879] lr: 3.3114e-03 eta: 6:58:05 time: 0.4902 data_time: 0.0371 memory: 18104 grad_norm: 6.9710 loss: 2.2913 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.3127 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 0.9786 2023/02/03 04:45:22 - mmengine - INFO - Epoch(train) [231][ 280/1879] lr: 3.3087e-03 eta: 6:57:54 time: 0.4917 data_time: 0.0336 memory: 18104 grad_norm: 6.6203 loss: 2.3151 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3313 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 0.9838 2023/02/03 04:45:32 - mmengine - INFO - Epoch(train) [231][ 300/1879] lr: 3.3060e-03 eta: 6:57:44 time: 0.5047 data_time: 0.0437 memory: 18104 grad_norm: 6.9575 loss: 2.4667 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.4398 top1_acc_1: 0.7647 top5_acc_1: 0.8706 loss_cls_1: 1.0269 2023/02/03 04:45:42 - mmengine - INFO - Epoch(train) [231][ 320/1879] lr: 3.3033e-03 eta: 6:57:33 time: 0.4985 data_time: 0.0328 memory: 18104 grad_norm: 6.8800 loss: 2.2769 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.2636 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 1.0134 2023/02/03 04:45:52 - mmengine - INFO - Epoch(train) [231][ 340/1879] lr: 3.3006e-03 eta: 6:57:23 time: 0.4995 data_time: 0.0386 memory: 18104 grad_norm: 6.9077 loss: 2.4033 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.4346 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 0.9687 2023/02/03 04:46:02 - mmengine - INFO - Epoch(train) [231][ 360/1879] lr: 3.2979e-03 eta: 6:57:12 time: 0.4921 data_time: 0.0326 memory: 18104 grad_norm: 6.8854 loss: 2.3511 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.3134 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.0377 2023/02/03 04:46:13 - mmengine - INFO - Epoch(train) [231][ 380/1879] lr: 3.2952e-03 eta: 6:57:02 time: 0.5152 data_time: 0.0372 memory: 18104 grad_norm: 6.8711 loss: 2.3928 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.4280 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 0.9649 2023/02/03 04:46:22 - mmengine - INFO - Epoch(train) [231][ 400/1879] lr: 3.2925e-03 eta: 6:56:51 time: 0.4937 data_time: 0.0337 memory: 18104 grad_norm: 6.8561 loss: 2.3628 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.3927 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9701 2023/02/03 04:46:32 - mmengine - INFO - Epoch(train) [231][ 420/1879] lr: 3.2899e-03 eta: 6:56:41 time: 0.4887 data_time: 0.0361 memory: 18104 grad_norm: 6.8997 loss: 2.3229 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3210 top1_acc_1: 0.6706 top5_acc_1: 0.8353 loss_cls_1: 1.0019 2023/02/03 04:46:43 - mmengine - INFO - Epoch(train) [231][ 440/1879] lr: 3.2872e-03 eta: 6:56:30 time: 0.5139 data_time: 0.0329 memory: 18104 grad_norm: 7.0078 loss: 2.3354 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.2666 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.0687 2023/02/03 04:46:53 - mmengine - INFO - Epoch(train) [231][ 460/1879] lr: 3.2845e-03 eta: 6:56:20 time: 0.4989 data_time: 0.0390 memory: 18104 grad_norm: 6.8789 loss: 2.2643 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.2420 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.0224 2023/02/03 04:47:03 - mmengine - INFO - Epoch(train) [231][ 480/1879] lr: 3.2818e-03 eta: 6:56:09 time: 0.5028 data_time: 0.0327 memory: 18104 grad_norm: 6.8502 loss: 2.2870 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2823 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 1.0048 2023/02/03 04:47:13 - mmengine - INFO - Epoch(train) [231][ 500/1879] lr: 3.2791e-03 eta: 6:55:59 time: 0.4938 data_time: 0.0371 memory: 18104 grad_norm: 7.0134 loss: 2.3099 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3589 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9510 2023/02/03 04:47:23 - mmengine - INFO - Epoch(train) [231][ 520/1879] lr: 3.2764e-03 eta: 6:55:49 time: 0.5142 data_time: 0.0401 memory: 18104 grad_norm: 7.0548 loss: 2.1532 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.2112 top1_acc_1: 0.8235 top5_acc_1: 0.9059 loss_cls_1: 0.9420 2023/02/03 04:47:33 - mmengine - INFO - Epoch(train) [231][ 540/1879] lr: 3.2738e-03 eta: 6:55:38 time: 0.5033 data_time: 0.0359 memory: 18104 grad_norm: 6.7036 loss: 2.0452 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0703 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 0.9750 2023/02/03 04:47:43 - mmengine - INFO - Epoch(train) [231][ 560/1879] lr: 3.2711e-03 eta: 6:55:28 time: 0.4963 data_time: 0.0325 memory: 18104 grad_norm: 6.8504 loss: 2.2403 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2155 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.0248 2023/02/03 04:47:53 - mmengine - INFO - Epoch(train) [231][ 580/1879] lr: 3.2684e-03 eta: 6:55:17 time: 0.5076 data_time: 0.0421 memory: 18104 grad_norm: 7.1349 loss: 2.3883 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3400 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 1.0483 2023/02/03 04:48:03 - mmengine - INFO - Epoch(train) [231][ 600/1879] lr: 3.2657e-03 eta: 6:55:07 time: 0.5025 data_time: 0.0317 memory: 18104 grad_norm: 7.0110 loss: 2.0835 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.0334 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 1.0501 2023/02/03 04:48:13 - mmengine - INFO - Epoch(train) [231][ 620/1879] lr: 3.2630e-03 eta: 6:54:56 time: 0.4984 data_time: 0.0361 memory: 18104 grad_norm: 6.9390 loss: 2.4136 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3926 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.0210 2023/02/03 04:48:23 - mmengine - INFO - Epoch(train) [231][ 640/1879] lr: 3.2604e-03 eta: 6:54:46 time: 0.5024 data_time: 0.0327 memory: 18104 grad_norm: 7.0445 loss: 2.4617 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3647 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 1.0971 2023/02/03 04:48:34 - mmengine - INFO - Epoch(train) [231][ 660/1879] lr: 3.2577e-03 eta: 6:54:36 time: 0.5229 data_time: 0.0435 memory: 18104 grad_norm: 6.8362 loss: 2.2515 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1737 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.0778 2023/02/03 04:48:44 - mmengine - INFO - Epoch(train) [231][ 680/1879] lr: 3.2550e-03 eta: 6:54:25 time: 0.5080 data_time: 0.0334 memory: 18104 grad_norm: 6.8952 loss: 2.2723 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3016 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 0.9706 2023/02/03 04:48:54 - mmengine - INFO - Epoch(train) [231][ 700/1879] lr: 3.2524e-03 eta: 6:54:15 time: 0.5133 data_time: 0.0352 memory: 18104 grad_norm: 7.0355 loss: 2.2867 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.2675 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0192 2023/02/03 04:49:04 - mmengine - INFO - Epoch(train) [231][ 720/1879] lr: 3.2497e-03 eta: 6:54:04 time: 0.5089 data_time: 0.0335 memory: 18104 grad_norm: 6.9693 loss: 2.4139 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4151 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.9988 2023/02/03 04:49:15 - mmengine - INFO - Epoch(train) [231][ 740/1879] lr: 3.2470e-03 eta: 6:53:54 time: 0.5055 data_time: 0.0421 memory: 18104 grad_norm: 6.9398 loss: 2.2733 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2789 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9944 2023/02/03 04:49:25 - mmengine - INFO - Epoch(train) [231][ 760/1879] lr: 3.2443e-03 eta: 6:53:44 time: 0.5188 data_time: 0.0329 memory: 18104 grad_norm: 6.9155 loss: 2.3465 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.3427 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 1.0038 2023/02/03 04:49:35 - mmengine - INFO - Epoch(train) [231][ 780/1879] lr: 3.2417e-03 eta: 6:53:33 time: 0.5070 data_time: 0.0351 memory: 18104 grad_norm: 6.9308 loss: 2.4553 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3814 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.0739 2023/02/03 04:49:45 - mmengine - INFO - Epoch(train) [231][ 800/1879] lr: 3.2390e-03 eta: 6:53:23 time: 0.5069 data_time: 0.0411 memory: 18104 grad_norm: 7.0078 loss: 2.1346 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1508 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9838 2023/02/03 04:49:55 - mmengine - INFO - Epoch(train) [231][ 820/1879] lr: 3.2363e-03 eta: 6:53:12 time: 0.4975 data_time: 0.0349 memory: 18104 grad_norm: 6.9614 loss: 2.2623 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.2526 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 1.0097 2023/02/03 04:50:00 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 04:50:05 - mmengine - INFO - Epoch(train) [231][ 840/1879] lr: 3.2337e-03 eta: 6:53:02 time: 0.5111 data_time: 0.0334 memory: 18104 grad_norm: 6.8246 loss: 2.3202 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3219 top1_acc_1: 0.8235 top5_acc_1: 0.9059 loss_cls_1: 0.9984 2023/02/03 04:50:16 - mmengine - INFO - Epoch(train) [231][ 860/1879] lr: 3.2310e-03 eta: 6:52:52 time: 0.5060 data_time: 0.0361 memory: 18104 grad_norm: 6.9162 loss: 2.3350 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.3579 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9770 2023/02/03 04:50:26 - mmengine - INFO - Epoch(train) [231][ 880/1879] lr: 3.2283e-03 eta: 6:52:41 time: 0.5154 data_time: 0.0325 memory: 18104 grad_norm: 7.1322 loss: 2.2503 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.2277 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 1.0226 2023/02/03 04:50:36 - mmengine - INFO - Epoch(train) [231][ 900/1879] lr: 3.2257e-03 eta: 6:52:31 time: 0.5252 data_time: 0.0349 memory: 18104 grad_norm: 7.0074 loss: 2.2853 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3560 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9292 2023/02/03 04:50:47 - mmengine - INFO - Epoch(train) [231][ 920/1879] lr: 3.2230e-03 eta: 6:52:21 time: 0.5169 data_time: 0.0317 memory: 18104 grad_norm: 6.9618 loss: 2.2601 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.2415 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.0186 2023/02/03 04:50:57 - mmengine - INFO - Epoch(train) [231][ 940/1879] lr: 3.2204e-03 eta: 6:52:10 time: 0.5102 data_time: 0.0362 memory: 18104 grad_norm: 6.9254 loss: 2.1164 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.1558 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 0.9606 2023/02/03 04:51:08 - mmengine - INFO - Epoch(train) [231][ 960/1879] lr: 3.2177e-03 eta: 6:52:00 time: 0.5224 data_time: 0.0448 memory: 18104 grad_norm: 6.8144 loss: 2.2294 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2748 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9546 2023/02/03 04:51:18 - mmengine - INFO - Epoch(train) [231][ 980/1879] lr: 3.2150e-03 eta: 6:51:50 time: 0.5323 data_time: 0.0367 memory: 18104 grad_norm: 7.0465 loss: 2.1918 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1985 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9934 2023/02/03 04:51:28 - mmengine - INFO - Epoch(train) [231][1000/1879] lr: 3.2124e-03 eta: 6:51:40 time: 0.5083 data_time: 0.0320 memory: 18104 grad_norm: 6.8640 loss: 2.5218 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.5508 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 0.9711 2023/02/03 04:51:39 - mmengine - INFO - Epoch(train) [231][1020/1879] lr: 3.2097e-03 eta: 6:51:29 time: 0.5207 data_time: 0.0437 memory: 18104 grad_norm: 6.9105 loss: 2.2309 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.2518 top1_acc_1: 0.8235 top5_acc_1: 0.9765 loss_cls_1: 0.9791 2023/02/03 04:51:49 - mmengine - INFO - Epoch(train) [231][1040/1879] lr: 3.2071e-03 eta: 6:51:19 time: 0.5183 data_time: 0.0314 memory: 18104 grad_norm: 7.1578 loss: 2.3308 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.3197 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.0111 2023/02/03 04:52:00 - mmengine - INFO - Epoch(train) [231][1060/1879] lr: 3.2044e-03 eta: 6:51:09 time: 0.5184 data_time: 0.0355 memory: 18104 grad_norm: 6.9240 loss: 2.4039 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3739 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.0300 2023/02/03 04:52:10 - mmengine - INFO - Epoch(train) [231][1080/1879] lr: 3.2018e-03 eta: 6:50:58 time: 0.5064 data_time: 0.0331 memory: 18104 grad_norm: 7.0638 loss: 2.3507 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3677 top1_acc_1: 0.7176 top5_acc_1: 0.9529 loss_cls_1: 0.9830 2023/02/03 04:52:20 - mmengine - INFO - Epoch(train) [231][1100/1879] lr: 3.1991e-03 eta: 6:50:48 time: 0.5150 data_time: 0.0488 memory: 18104 grad_norm: 6.9473 loss: 2.1558 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1450 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.0107 2023/02/03 04:52:31 - mmengine - INFO - Epoch(train) [231][1120/1879] lr: 3.1965e-03 eta: 6:50:38 time: 0.5258 data_time: 0.0310 memory: 18104 grad_norm: 6.9882 loss: 2.4919 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4936 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 0.9984 2023/02/03 04:52:41 - mmengine - INFO - Epoch(train) [231][1140/1879] lr: 3.1938e-03 eta: 6:50:27 time: 0.5213 data_time: 0.0349 memory: 18104 grad_norm: 7.0783 loss: 2.3967 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.3908 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.0060 2023/02/03 04:52:51 - mmengine - INFO - Epoch(train) [231][1160/1879] lr: 3.1912e-03 eta: 6:50:17 time: 0.5112 data_time: 0.0338 memory: 18104 grad_norm: 7.1043 loss: 2.5168 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.4584 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 1.0584 2023/02/03 04:53:02 - mmengine - INFO - Epoch(train) [231][1180/1879] lr: 3.1885e-03 eta: 6:50:07 time: 0.5190 data_time: 0.0418 memory: 18104 grad_norm: 6.8660 loss: 2.1993 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.2020 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 0.9973 2023/02/03 04:53:13 - mmengine - INFO - Epoch(train) [231][1200/1879] lr: 3.1859e-03 eta: 6:49:57 time: 0.5387 data_time: 0.0329 memory: 18104 grad_norm: 7.0319 loss: 2.3219 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3052 top1_acc_1: 0.6588 top5_acc_1: 0.9294 loss_cls_1: 1.0167 2023/02/03 04:53:23 - mmengine - INFO - Epoch(train) [231][1220/1879] lr: 3.1832e-03 eta: 6:49:46 time: 0.5113 data_time: 0.0359 memory: 18104 grad_norm: 6.9873 loss: 2.3438 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2523 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.0915 2023/02/03 04:53:33 - mmengine - INFO - Epoch(train) [231][1240/1879] lr: 3.1806e-03 eta: 6:49:36 time: 0.5251 data_time: 0.0320 memory: 18104 grad_norm: 7.0392 loss: 2.5074 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4863 top1_acc_1: 0.7765 top5_acc_1: 0.8588 loss_cls_1: 1.0210 2023/02/03 04:53:44 - mmengine - INFO - Epoch(train) [231][1260/1879] lr: 3.1780e-03 eta: 6:49:26 time: 0.5352 data_time: 0.0367 memory: 18104 grad_norm: 6.9200 loss: 2.3019 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1880 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.1139 2023/02/03 04:53:55 - mmengine - INFO - Epoch(train) [231][1280/1879] lr: 3.1753e-03 eta: 6:49:16 time: 0.5256 data_time: 0.0313 memory: 18104 grad_norm: 6.9653 loss: 2.5451 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.5429 top1_acc_1: 0.8471 top5_acc_1: 0.9294 loss_cls_1: 1.0022 2023/02/03 04:54:05 - mmengine - INFO - Epoch(train) [231][1300/1879] lr: 3.1727e-03 eta: 6:49:05 time: 0.5171 data_time: 0.0346 memory: 18104 grad_norm: 6.9484 loss: 2.2937 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2836 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.0101 2023/02/03 04:54:16 - mmengine - INFO - Epoch(train) [231][1320/1879] lr: 3.1700e-03 eta: 6:48:55 time: 0.5350 data_time: 0.0328 memory: 18104 grad_norm: 6.9271 loss: 2.2413 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1919 top1_acc_1: 0.7176 top5_acc_1: 0.8235 loss_cls_1: 1.0495 2023/02/03 04:54:26 - mmengine - INFO - Epoch(train) [231][1340/1879] lr: 3.1674e-03 eta: 6:48:45 time: 0.5368 data_time: 0.0340 memory: 18104 grad_norm: 6.9887 loss: 2.4568 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.4018 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0549 2023/02/03 04:54:37 - mmengine - INFO - Epoch(train) [231][1360/1879] lr: 3.1648e-03 eta: 6:48:35 time: 0.5203 data_time: 0.0342 memory: 18104 grad_norm: 7.0386 loss: 2.4097 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3461 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.0636 2023/02/03 04:54:48 - mmengine - INFO - Epoch(train) [231][1380/1879] lr: 3.1621e-03 eta: 6:48:24 time: 0.5305 data_time: 0.0358 memory: 18104 grad_norm: 7.1208 loss: 2.1198 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1316 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 0.9882 2023/02/03 04:54:58 - mmengine - INFO - Epoch(train) [231][1400/1879] lr: 3.1595e-03 eta: 6:48:14 time: 0.5451 data_time: 0.0391 memory: 18104 grad_norm: 7.2095 loss: 2.3789 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3563 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.0226 2023/02/03 04:55:09 - mmengine - INFO - Epoch(train) [231][1420/1879] lr: 3.1569e-03 eta: 6:48:04 time: 0.5271 data_time: 0.0359 memory: 18104 grad_norm: 7.1278 loss: 2.3317 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3451 top1_acc_1: 0.6588 top5_acc_1: 0.8588 loss_cls_1: 0.9866 2023/02/03 04:55:20 - mmengine - INFO - Epoch(train) [231][1440/1879] lr: 3.1542e-03 eta: 6:47:54 time: 0.5266 data_time: 0.0320 memory: 18104 grad_norm: 6.9004 loss: 2.3155 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3275 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.9880 2023/02/03 04:55:30 - mmengine - INFO - Epoch(train) [231][1460/1879] lr: 3.1516e-03 eta: 6:47:44 time: 0.5405 data_time: 0.0349 memory: 18104 grad_norm: 7.0530 loss: 2.3062 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.3570 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9493 2023/02/03 04:55:41 - mmengine - INFO - Epoch(train) [231][1480/1879] lr: 3.1490e-03 eta: 6:47:34 time: 0.5391 data_time: 0.0396 memory: 18104 grad_norm: 7.0572 loss: 2.0845 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1133 top1_acc_1: 0.8353 top5_acc_1: 0.9176 loss_cls_1: 0.9712 2023/02/03 04:55:52 - mmengine - INFO - Epoch(train) [231][1500/1879] lr: 3.1463e-03 eta: 6:47:23 time: 0.5253 data_time: 0.0337 memory: 18104 grad_norm: 7.0490 loss: 2.3888 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3061 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 1.0827 2023/02/03 04:56:02 - mmengine - INFO - Epoch(train) [231][1520/1879] lr: 3.1437e-03 eta: 6:47:13 time: 0.5355 data_time: 0.0316 memory: 18104 grad_norm: 7.0458 loss: 2.4527 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.4739 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 0.9789 2023/02/03 04:56:13 - mmengine - INFO - Epoch(train) [231][1540/1879] lr: 3.1411e-03 eta: 6:47:03 time: 0.5297 data_time: 0.0400 memory: 18104 grad_norm: 6.8337 loss: 2.3490 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.2799 top1_acc_1: 0.8471 top5_acc_1: 0.9412 loss_cls_1: 1.0691 2023/02/03 04:56:23 - mmengine - INFO - Epoch(train) [231][1560/1879] lr: 3.1384e-03 eta: 6:46:53 time: 0.5157 data_time: 0.0321 memory: 18104 grad_norm: 6.8538 loss: 2.2497 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.2265 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.0231 2023/02/03 04:56:34 - mmengine - INFO - Epoch(train) [231][1580/1879] lr: 3.1358e-03 eta: 6:46:42 time: 0.5177 data_time: 0.0356 memory: 18104 grad_norm: 6.9449 loss: 2.3939 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.3970 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.9969 2023/02/03 04:56:44 - mmengine - INFO - Epoch(train) [231][1600/1879] lr: 3.1332e-03 eta: 6:46:32 time: 0.5200 data_time: 0.0322 memory: 18104 grad_norm: 6.9416 loss: 2.3468 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3095 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.0373 2023/02/03 04:56:55 - mmengine - INFO - Epoch(train) [231][1620/1879] lr: 3.1306e-03 eta: 6:46:22 time: 0.5386 data_time: 0.0413 memory: 18104 grad_norm: 7.1041 loss: 2.2794 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1960 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0834 2023/02/03 04:57:05 - mmengine - INFO - Epoch(train) [231][1640/1879] lr: 3.1279e-03 eta: 6:46:12 time: 0.5157 data_time: 0.0332 memory: 18104 grad_norm: 7.0160 loss: 2.1001 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.0616 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.0384 2023/02/03 04:57:16 - mmengine - INFO - Epoch(train) [231][1660/1879] lr: 3.1253e-03 eta: 6:46:01 time: 0.5243 data_time: 0.0329 memory: 18104 grad_norm: 7.0774 loss: 2.3277 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2670 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.0608 2023/02/03 04:57:26 - mmengine - INFO - Epoch(train) [231][1680/1879] lr: 3.1227e-03 eta: 6:45:51 time: 0.5168 data_time: 0.0324 memory: 18104 grad_norm: 6.9246 loss: 2.2008 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1412 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.0596 2023/02/03 04:57:37 - mmengine - INFO - Epoch(train) [231][1700/1879] lr: 3.1201e-03 eta: 6:45:41 time: 0.5403 data_time: 0.0330 memory: 18104 grad_norm: 7.0036 loss: 2.2747 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.2548 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.0199 2023/02/03 04:57:48 - mmengine - INFO - Epoch(train) [231][1720/1879] lr: 3.1175e-03 eta: 6:45:31 time: 0.5346 data_time: 0.0308 memory: 18104 grad_norm: 7.1474 loss: 2.1699 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.2175 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.9524 2023/02/03 04:57:58 - mmengine - INFO - Epoch(train) [231][1740/1879] lr: 3.1148e-03 eta: 6:45:21 time: 0.5257 data_time: 0.0343 memory: 18104 grad_norm: 7.1048 loss: 2.1776 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.2118 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 0.9658 2023/02/03 04:58:09 - mmengine - INFO - Epoch(train) [231][1760/1879] lr: 3.1122e-03 eta: 6:45:10 time: 0.5181 data_time: 0.0311 memory: 18104 grad_norm: 7.0147 loss: 2.2466 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.2969 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 0.9498 2023/02/03 04:58:19 - mmengine - INFO - Epoch(train) [231][1780/1879] lr: 3.1096e-03 eta: 6:45:00 time: 0.5343 data_time: 0.0412 memory: 18104 grad_norm: 7.0320 loss: 2.3461 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.3554 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9907 2023/02/03 04:58:30 - mmengine - INFO - Epoch(train) [231][1800/1879] lr: 3.1070e-03 eta: 6:44:50 time: 0.5145 data_time: 0.0329 memory: 18104 grad_norm: 7.0958 loss: 2.5020 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4895 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 1.0124 2023/02/03 04:58:40 - mmengine - INFO - Epoch(train) [231][1820/1879] lr: 3.1044e-03 eta: 6:44:40 time: 0.5272 data_time: 0.0345 memory: 18104 grad_norm: 7.1597 loss: 2.5788 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.5324 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.0465 2023/02/03 04:58:45 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 04:58:51 - mmengine - INFO - Epoch(train) [231][1840/1879] lr: 3.1018e-03 eta: 6:44:29 time: 0.5208 data_time: 0.0317 memory: 18104 grad_norm: 6.8932 loss: 2.2152 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2536 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9616 2023/02/03 04:59:01 - mmengine - INFO - Epoch(train) [231][1860/1879] lr: 3.0992e-03 eta: 6:44:19 time: 0.5290 data_time: 0.0334 memory: 18104 grad_norm: 6.9371 loss: 2.2478 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1448 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 1.1029 2023/02/03 04:59:11 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 04:59:11 - mmengine - INFO - Epoch(train) [231][1879/1879] lr: 3.0967e-03 eta: 6:44:09 time: 0.4906 data_time: 0.0281 memory: 18104 grad_norm: 7.1916 loss: 2.3618 top1_acc_0: 0.7143 top5_acc_0: 1.0000 loss_cls_0: 1.4019 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.9600 2023/02/03 04:59:26 - mmengine - INFO - Epoch(train) [232][ 20/1879] lr: 3.0941e-03 eta: 6:44:00 time: 0.7211 data_time: 0.2599 memory: 18104 grad_norm: 7.1755 loss: 2.1287 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1976 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.9311 2023/02/03 04:59:35 - mmengine - INFO - Epoch(train) [232][ 40/1879] lr: 3.0915e-03 eta: 6:43:50 time: 0.4819 data_time: 0.0322 memory: 18104 grad_norm: 7.0016 loss: 2.3326 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2934 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 1.0392 2023/02/03 04:59:45 - mmengine - INFO - Epoch(train) [232][ 60/1879] lr: 3.0889e-03 eta: 6:43:39 time: 0.4925 data_time: 0.0356 memory: 18104 grad_norm: 7.1535 loss: 2.3083 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3701 top1_acc_1: 0.7059 top5_acc_1: 0.9412 loss_cls_1: 0.9382 2023/02/03 04:59:56 - mmengine - INFO - Epoch(train) [232][ 80/1879] lr: 3.0863e-03 eta: 6:43:29 time: 0.5157 data_time: 0.0451 memory: 18104 grad_norm: 6.9337 loss: 2.1237 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.1520 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 0.9717 2023/02/03 05:00:06 - mmengine - INFO - Epoch(train) [232][ 100/1879] lr: 3.0837e-03 eta: 6:43:18 time: 0.4965 data_time: 0.0357 memory: 18104 grad_norm: 6.9576 loss: 2.4327 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3879 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.0448 2023/02/03 05:00:15 - mmengine - INFO - Epoch(train) [232][ 120/1879] lr: 3.0811e-03 eta: 6:43:08 time: 0.4851 data_time: 0.0360 memory: 18104 grad_norm: 7.1020 loss: 2.1737 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1698 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 1.0039 2023/02/03 05:00:26 - mmengine - INFO - Epoch(train) [232][ 140/1879] lr: 3.0785e-03 eta: 6:42:58 time: 0.5265 data_time: 0.0346 memory: 18104 grad_norm: 6.9294 loss: 2.1752 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1918 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9834 2023/02/03 05:00:36 - mmengine - INFO - Epoch(train) [232][ 160/1879] lr: 3.0758e-03 eta: 6:42:47 time: 0.4952 data_time: 0.0398 memory: 18104 grad_norm: 7.0470 loss: 2.3192 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.2773 top1_acc_1: 0.6941 top5_acc_1: 0.9412 loss_cls_1: 1.0418 2023/02/03 05:00:46 - mmengine - INFO - Epoch(train) [232][ 180/1879] lr: 3.0732e-03 eta: 6:42:37 time: 0.4963 data_time: 0.0372 memory: 18104 grad_norm: 6.9968 loss: 2.4410 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.4064 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.0346 2023/02/03 05:00:56 - mmengine - INFO - Epoch(train) [232][ 200/1879] lr: 3.0706e-03 eta: 6:42:26 time: 0.5098 data_time: 0.0350 memory: 18104 grad_norm: 6.8773 loss: 2.3205 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2472 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0734 2023/02/03 05:01:06 - mmengine - INFO - Epoch(train) [232][ 220/1879] lr: 3.0681e-03 eta: 6:42:16 time: 0.5136 data_time: 0.0370 memory: 18104 grad_norm: 6.8412 loss: 2.0870 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1146 top1_acc_1: 0.8235 top5_acc_1: 0.9765 loss_cls_1: 0.9724 2023/02/03 05:01:16 - mmengine - INFO - Epoch(train) [232][ 240/1879] lr: 3.0655e-03 eta: 6:42:05 time: 0.4912 data_time: 0.0347 memory: 18104 grad_norm: 6.9937 loss: 2.1367 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1437 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 0.9929 2023/02/03 05:01:26 - mmengine - INFO - Epoch(train) [232][ 260/1879] lr: 3.0629e-03 eta: 6:41:55 time: 0.5074 data_time: 0.0360 memory: 18104 grad_norm: 7.0597 loss: 2.3641 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.5182 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.8459 2023/02/03 05:01:36 - mmengine - INFO - Epoch(train) [232][ 280/1879] lr: 3.0603e-03 eta: 6:41:44 time: 0.4948 data_time: 0.0339 memory: 18104 grad_norm: 7.0481 loss: 2.4446 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4080 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 1.0366 2023/02/03 05:01:46 - mmengine - INFO - Epoch(train) [232][ 300/1879] lr: 3.0577e-03 eta: 6:41:34 time: 0.5102 data_time: 0.0427 memory: 18104 grad_norm: 7.1471 loss: 2.3691 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3432 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.0259 2023/02/03 05:01:56 - mmengine - INFO - Epoch(train) [232][ 320/1879] lr: 3.0551e-03 eta: 6:41:23 time: 0.4794 data_time: 0.0351 memory: 18104 grad_norm: 6.8422 loss: 2.2376 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2711 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.9665 2023/02/03 05:02:06 - mmengine - INFO - Epoch(train) [232][ 340/1879] lr: 3.0525e-03 eta: 6:41:13 time: 0.5151 data_time: 0.0374 memory: 18104 grad_norm: 6.8880 loss: 2.2545 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2961 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 0.9584 2023/02/03 05:02:16 - mmengine - INFO - Epoch(train) [232][ 360/1879] lr: 3.0499e-03 eta: 6:41:03 time: 0.4939 data_time: 0.0348 memory: 18104 grad_norm: 7.0280 loss: 2.4610 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4249 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.0361 2023/02/03 05:02:26 - mmengine - INFO - Epoch(train) [232][ 380/1879] lr: 3.0473e-03 eta: 6:40:52 time: 0.4978 data_time: 0.0429 memory: 18104 grad_norm: 6.9550 loss: 2.1441 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.1574 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9867 2023/02/03 05:02:36 - mmengine - INFO - Epoch(train) [232][ 400/1879] lr: 3.0447e-03 eta: 6:40:42 time: 0.5023 data_time: 0.0325 memory: 18104 grad_norm: 7.0451 loss: 2.3696 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.3763 top1_acc_1: 0.8000 top5_acc_1: 0.8941 loss_cls_1: 0.9932 2023/02/03 05:02:46 - mmengine - INFO - Epoch(train) [232][ 420/1879] lr: 3.0421e-03 eta: 6:40:31 time: 0.5035 data_time: 0.0361 memory: 18104 grad_norm: 6.9254 loss: 2.4087 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3974 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.0112 2023/02/03 05:02:56 - mmengine - INFO - Epoch(train) [232][ 440/1879] lr: 3.0395e-03 eta: 6:40:21 time: 0.4902 data_time: 0.0341 memory: 18104 grad_norm: 6.8711 loss: 2.0608 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1538 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9070 2023/02/03 05:03:06 - mmengine - INFO - Epoch(train) [232][ 460/1879] lr: 3.0370e-03 eta: 6:40:10 time: 0.5073 data_time: 0.0413 memory: 18104 grad_norm: 6.9109 loss: 1.9389 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0454 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.8935 2023/02/03 05:03:16 - mmengine - INFO - Epoch(train) [232][ 480/1879] lr: 3.0344e-03 eta: 6:40:00 time: 0.4801 data_time: 0.0346 memory: 18104 grad_norm: 7.0144 loss: 2.2824 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2630 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.0193 2023/02/03 05:03:26 - mmengine - INFO - Epoch(train) [232][ 500/1879] lr: 3.0318e-03 eta: 6:39:49 time: 0.5115 data_time: 0.0351 memory: 18104 grad_norm: 6.8870 loss: 2.3426 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2608 top1_acc_1: 0.8353 top5_acc_1: 0.9647 loss_cls_1: 1.0818 2023/02/03 05:03:36 - mmengine - INFO - Epoch(train) [232][ 520/1879] lr: 3.0292e-03 eta: 6:39:39 time: 0.4922 data_time: 0.0332 memory: 18104 grad_norm: 6.8364 loss: 2.5107 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5186 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.9921 2023/02/03 05:03:46 - mmengine - INFO - Epoch(train) [232][ 540/1879] lr: 3.0266e-03 eta: 6:39:28 time: 0.4995 data_time: 0.0354 memory: 18104 grad_norm: 6.9248 loss: 2.3740 top1_acc_0: 0.3125 top5_acc_0: 0.6875 loss_cls_0: 1.3771 top1_acc_1: 0.7882 top5_acc_1: 0.8824 loss_cls_1: 0.9969 2023/02/03 05:03:56 - mmengine - INFO - Epoch(train) [232][ 560/1879] lr: 3.0240e-03 eta: 6:39:18 time: 0.4846 data_time: 0.0341 memory: 18104 grad_norm: 6.6770 loss: 2.2996 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.3022 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.9974 2023/02/03 05:04:06 - mmengine - INFO - Epoch(train) [232][ 580/1879] lr: 3.0215e-03 eta: 6:39:07 time: 0.5062 data_time: 0.0363 memory: 18104 grad_norm: 6.9268 loss: 2.1813 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1530 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0284 2023/02/03 05:04:16 - mmengine - INFO - Epoch(train) [232][ 600/1879] lr: 3.0189e-03 eta: 6:38:57 time: 0.4922 data_time: 0.0314 memory: 18104 grad_norm: 6.9640 loss: 2.4737 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4531 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 1.0206 2023/02/03 05:04:26 - mmengine - INFO - Epoch(train) [232][ 620/1879] lr: 3.0163e-03 eta: 6:38:46 time: 0.5041 data_time: 0.0364 memory: 18104 grad_norm: 6.9595 loss: 2.2130 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1975 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 1.0154 2023/02/03 05:04:36 - mmengine - INFO - Epoch(train) [232][ 640/1879] lr: 3.0137e-03 eta: 6:38:36 time: 0.4892 data_time: 0.0356 memory: 18104 grad_norm: 7.0897 loss: 2.2593 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2188 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 1.0405 2023/02/03 05:04:46 - mmengine - INFO - Epoch(train) [232][ 660/1879] lr: 3.0112e-03 eta: 6:38:25 time: 0.5102 data_time: 0.0369 memory: 18104 grad_norm: 6.8433 loss: 2.2982 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2822 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.0160 2023/02/03 05:04:56 - mmengine - INFO - Epoch(train) [232][ 680/1879] lr: 3.0086e-03 eta: 6:38:15 time: 0.4940 data_time: 0.0414 memory: 18104 grad_norm: 6.9468 loss: 2.3695 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2847 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 1.0849 2023/02/03 05:05:06 - mmengine - INFO - Epoch(train) [232][ 700/1879] lr: 3.0060e-03 eta: 6:38:05 time: 0.5017 data_time: 0.0363 memory: 18104 grad_norm: 6.9550 loss: 2.3333 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3597 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.9736 2023/02/03 05:05:16 - mmengine - INFO - Epoch(train) [232][ 720/1879] lr: 3.0034e-03 eta: 6:37:54 time: 0.5063 data_time: 0.0370 memory: 18104 grad_norm: 7.0354 loss: 2.4310 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.4389 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9921 2023/02/03 05:05:26 - mmengine - INFO - Epoch(train) [232][ 740/1879] lr: 3.0009e-03 eta: 6:37:44 time: 0.5100 data_time: 0.0340 memory: 18104 grad_norm: 7.0954 loss: 2.2920 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3043 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 0.9877 2023/02/03 05:05:37 - mmengine - INFO - Epoch(train) [232][ 760/1879] lr: 2.9983e-03 eta: 6:37:33 time: 0.5071 data_time: 0.0395 memory: 18104 grad_norm: 7.0898 loss: 2.2664 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2413 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.0251 2023/02/03 05:05:47 - mmengine - INFO - Epoch(train) [232][ 780/1879] lr: 2.9957e-03 eta: 6:37:23 time: 0.5076 data_time: 0.0360 memory: 18104 grad_norm: 7.2408 loss: 2.2454 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2313 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0141 2023/02/03 05:05:57 - mmengine - INFO - Epoch(train) [232][ 800/1879] lr: 2.9932e-03 eta: 6:37:13 time: 0.5048 data_time: 0.0345 memory: 18104 grad_norm: 6.8640 loss: 2.1658 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1993 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9665 2023/02/03 05:06:07 - mmengine - INFO - Epoch(train) [232][ 820/1879] lr: 2.9906e-03 eta: 6:37:02 time: 0.5241 data_time: 0.0427 memory: 18104 grad_norm: 7.1122 loss: 2.2000 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.2810 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.9191 2023/02/03 05:06:17 - mmengine - INFO - Epoch(train) [232][ 840/1879] lr: 2.9880e-03 eta: 6:36:52 time: 0.4988 data_time: 0.0340 memory: 18104 grad_norm: 7.0413 loss: 2.4129 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3685 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.0445 2023/02/03 05:06:28 - mmengine - INFO - Epoch(train) [232][ 860/1879] lr: 2.9855e-03 eta: 6:36:42 time: 0.5246 data_time: 0.0370 memory: 18104 grad_norm: 7.0492 loss: 2.2115 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.1370 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.0744 2023/02/03 05:06:38 - mmengine - INFO - Epoch(train) [232][ 880/1879] lr: 2.9829e-03 eta: 6:36:31 time: 0.5027 data_time: 0.0328 memory: 18104 grad_norm: 7.2645 loss: 2.4694 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.4347 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.0347 2023/02/03 05:06:48 - mmengine - INFO - Epoch(train) [232][ 900/1879] lr: 2.9804e-03 eta: 6:36:21 time: 0.5124 data_time: 0.0424 memory: 18104 grad_norm: 7.1470 loss: 2.2187 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.2597 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.9590 2023/02/03 05:06:59 - mmengine - INFO - Epoch(train) [232][ 920/1879] lr: 2.9778e-03 eta: 6:36:10 time: 0.5169 data_time: 0.0335 memory: 18104 grad_norm: 7.0674 loss: 2.2655 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3156 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9499 2023/02/03 05:07:09 - mmengine - INFO - Epoch(train) [232][ 940/1879] lr: 2.9752e-03 eta: 6:36:00 time: 0.5122 data_time: 0.0358 memory: 18104 grad_norm: 7.0445 loss: 2.2908 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3285 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9623 2023/02/03 05:07:14 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 05:07:19 - mmengine - INFO - Epoch(train) [232][ 960/1879] lr: 2.9727e-03 eta: 6:35:50 time: 0.5063 data_time: 0.0336 memory: 18104 grad_norm: 6.9932 loss: 2.2374 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2435 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.9939 2023/02/03 05:07:29 - mmengine - INFO - Epoch(train) [232][ 980/1879] lr: 2.9701e-03 eta: 6:35:39 time: 0.5099 data_time: 0.0373 memory: 18104 grad_norm: 7.0330 loss: 2.4031 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.4012 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.0020 2023/02/03 05:07:40 - mmengine - INFO - Epoch(train) [232][1000/1879] lr: 2.9676e-03 eta: 6:35:29 time: 0.5181 data_time: 0.0331 memory: 18104 grad_norm: 7.0134 loss: 2.2328 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.2701 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.9628 2023/02/03 05:07:50 - mmengine - INFO - Epoch(train) [232][1020/1879] lr: 2.9650e-03 eta: 6:35:19 time: 0.5136 data_time: 0.0353 memory: 18104 grad_norm: 7.2520 loss: 2.4767 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.4050 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.0717 2023/02/03 05:08:00 - mmengine - INFO - Epoch(train) [232][1040/1879] lr: 2.9624e-03 eta: 6:35:08 time: 0.4973 data_time: 0.0350 memory: 18104 grad_norm: 7.1590 loss: 2.2086 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2443 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.9642 2023/02/03 05:08:10 - mmengine - INFO - Epoch(train) [232][1060/1879] lr: 2.9599e-03 eta: 6:34:58 time: 0.5175 data_time: 0.0388 memory: 18104 grad_norm: 7.1256 loss: 2.3968 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3962 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.0005 2023/02/03 05:08:20 - mmengine - INFO - Epoch(train) [232][1080/1879] lr: 2.9573e-03 eta: 6:34:48 time: 0.5074 data_time: 0.0326 memory: 18104 grad_norm: 7.1526 loss: 2.2481 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1785 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.0696 2023/02/03 05:08:31 - mmengine - INFO - Epoch(train) [232][1100/1879] lr: 2.9548e-03 eta: 6:34:37 time: 0.5123 data_time: 0.0365 memory: 18104 grad_norm: 7.1085 loss: 2.4767 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.4628 top1_acc_1: 0.7647 top5_acc_1: 0.8706 loss_cls_1: 1.0140 2023/02/03 05:08:41 - mmengine - INFO - Epoch(train) [232][1120/1879] lr: 2.9522e-03 eta: 6:34:27 time: 0.5164 data_time: 0.0347 memory: 18104 grad_norm: 6.9862 loss: 2.2358 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2162 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.0196 2023/02/03 05:08:51 - mmengine - INFO - Epoch(train) [232][1140/1879] lr: 2.9497e-03 eta: 6:34:16 time: 0.5135 data_time: 0.0445 memory: 18104 grad_norm: 6.9371 loss: 2.3141 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.3196 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 0.9945 2023/02/03 05:09:01 - mmengine - INFO - Epoch(train) [232][1160/1879] lr: 2.9471e-03 eta: 6:34:06 time: 0.5074 data_time: 0.0337 memory: 18104 grad_norm: 7.1051 loss: 2.2285 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2739 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9546 2023/02/03 05:09:12 - mmengine - INFO - Epoch(train) [232][1180/1879] lr: 2.9446e-03 eta: 6:33:56 time: 0.5313 data_time: 0.0363 memory: 18104 grad_norm: 6.7485 loss: 2.1392 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1523 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 0.9869 2023/02/03 05:09:22 - mmengine - INFO - Epoch(train) [232][1200/1879] lr: 2.9421e-03 eta: 6:33:46 time: 0.5087 data_time: 0.0326 memory: 18104 grad_norm: 6.9543 loss: 2.5333 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4844 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.0489 2023/02/03 05:09:33 - mmengine - INFO - Epoch(train) [232][1220/1879] lr: 2.9395e-03 eta: 6:33:35 time: 0.5253 data_time: 0.0443 memory: 18104 grad_norm: 6.9832 loss: 2.3800 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.3426 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0374 2023/02/03 05:09:43 - mmengine - INFO - Epoch(train) [232][1240/1879] lr: 2.9370e-03 eta: 6:33:25 time: 0.5174 data_time: 0.0326 memory: 18104 grad_norm: 7.0094 loss: 2.3811 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.2808 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.1003 2023/02/03 05:09:54 - mmengine - INFO - Epoch(train) [232][1260/1879] lr: 2.9344e-03 eta: 6:33:15 time: 0.5378 data_time: 0.0347 memory: 18104 grad_norm: 6.9707 loss: 2.5457 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.5017 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.0440 2023/02/03 05:10:04 - mmengine - INFO - Epoch(train) [232][1280/1879] lr: 2.9319e-03 eta: 6:33:04 time: 0.5119 data_time: 0.0335 memory: 18104 grad_norm: 6.8487 loss: 2.2960 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3107 top1_acc_1: 0.7529 top5_acc_1: 0.8588 loss_cls_1: 0.9853 2023/02/03 05:10:15 - mmengine - INFO - Epoch(train) [232][1300/1879] lr: 2.9293e-03 eta: 6:32:54 time: 0.5251 data_time: 0.0337 memory: 18104 grad_norm: 7.0469 loss: 2.3810 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.4187 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9623 2023/02/03 05:10:25 - mmengine - INFO - Epoch(train) [232][1320/1879] lr: 2.9268e-03 eta: 6:32:44 time: 0.5105 data_time: 0.0350 memory: 18104 grad_norm: 6.9615 loss: 2.2054 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.2082 top1_acc_1: 0.7647 top5_acc_1: 0.8588 loss_cls_1: 0.9972 2023/02/03 05:10:36 - mmengine - INFO - Epoch(train) [232][1340/1879] lr: 2.9243e-03 eta: 6:32:34 time: 0.5238 data_time: 0.0367 memory: 18104 grad_norm: 7.1152 loss: 2.2896 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3389 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 0.9507 2023/02/03 05:10:46 - mmengine - INFO - Epoch(train) [232][1360/1879] lr: 2.9217e-03 eta: 6:32:23 time: 0.5159 data_time: 0.0410 memory: 18104 grad_norm: 6.9631 loss: 2.3576 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.3449 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 1.0127 2023/02/03 05:10:56 - mmengine - INFO - Epoch(train) [232][1380/1879] lr: 2.9192e-03 eta: 6:32:13 time: 0.5253 data_time: 0.0360 memory: 18104 grad_norm: 7.2644 loss: 2.4774 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.4110 top1_acc_1: 0.7059 top5_acc_1: 0.8471 loss_cls_1: 1.0664 2023/02/03 05:11:07 - mmengine - INFO - Epoch(train) [232][1400/1879] lr: 2.9167e-03 eta: 6:32:03 time: 0.5081 data_time: 0.0334 memory: 18104 grad_norm: 7.0054 loss: 2.3258 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.3371 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 0.9887 2023/02/03 05:11:17 - mmengine - INFO - Epoch(train) [232][1420/1879] lr: 2.9141e-03 eta: 6:31:52 time: 0.5228 data_time: 0.0354 memory: 18104 grad_norm: 7.1706 loss: 2.2711 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3110 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9601 2023/02/03 05:11:28 - mmengine - INFO - Epoch(train) [232][1440/1879] lr: 2.9116e-03 eta: 6:31:42 time: 0.5206 data_time: 0.0392 memory: 18104 grad_norm: 7.1213 loss: 2.3800 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.3121 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.0679 2023/02/03 05:11:38 - mmengine - INFO - Epoch(train) [232][1460/1879] lr: 2.9091e-03 eta: 6:31:32 time: 0.5186 data_time: 0.0362 memory: 18104 grad_norm: 7.1128 loss: 2.2818 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2690 top1_acc_1: 0.7647 top5_acc_1: 0.8588 loss_cls_1: 1.0128 2023/02/03 05:11:48 - mmengine - INFO - Epoch(train) [232][1480/1879] lr: 2.9065e-03 eta: 6:31:21 time: 0.5055 data_time: 0.0356 memory: 18104 grad_norm: 6.9063 loss: 2.3081 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3010 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 1.0071 2023/02/03 05:11:59 - mmengine - INFO - Epoch(train) [232][1500/1879] lr: 2.9040e-03 eta: 6:31:11 time: 0.5373 data_time: 0.0361 memory: 18104 grad_norm: 6.9732 loss: 2.2595 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.2785 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 0.9810 2023/02/03 05:12:09 - mmengine - INFO - Epoch(train) [232][1520/1879] lr: 2.9015e-03 eta: 6:31:01 time: 0.5204 data_time: 0.0393 memory: 18104 grad_norm: 7.1785 loss: 2.2605 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2956 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.9649 2023/02/03 05:12:20 - mmengine - INFO - Epoch(train) [232][1540/1879] lr: 2.8989e-03 eta: 6:30:51 time: 0.5197 data_time: 0.0360 memory: 18104 grad_norm: 6.8473 loss: 2.3272 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3721 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 0.9551 2023/02/03 05:12:30 - mmengine - INFO - Epoch(train) [232][1560/1879] lr: 2.8964e-03 eta: 6:30:40 time: 0.5159 data_time: 0.0337 memory: 18104 grad_norm: 7.0028 loss: 2.1216 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1410 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 0.9806 2023/02/03 05:12:41 - mmengine - INFO - Epoch(train) [232][1580/1879] lr: 2.8939e-03 eta: 6:30:30 time: 0.5238 data_time: 0.0354 memory: 18104 grad_norm: 7.1905 loss: 2.3307 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3478 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.9830 2023/02/03 05:12:51 - mmengine - INFO - Epoch(train) [232][1600/1879] lr: 2.8914e-03 eta: 6:30:20 time: 0.5079 data_time: 0.0339 memory: 18104 grad_norm: 7.2131 loss: 2.3532 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.3551 top1_acc_1: 0.9176 top5_acc_1: 0.9765 loss_cls_1: 0.9982 2023/02/03 05:13:01 - mmengine - INFO - Epoch(train) [232][1620/1879] lr: 2.8888e-03 eta: 6:30:09 time: 0.5174 data_time: 0.0341 memory: 18104 grad_norm: 6.9626 loss: 2.1309 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.1946 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 0.9363 2023/02/03 05:13:11 - mmengine - INFO - Epoch(train) [232][1640/1879] lr: 2.8863e-03 eta: 6:29:59 time: 0.5090 data_time: 0.0332 memory: 18104 grad_norm: 6.7160 loss: 2.1507 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.2024 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 0.9483 2023/02/03 05:13:22 - mmengine - INFO - Epoch(train) [232][1660/1879] lr: 2.8838e-03 eta: 6:29:49 time: 0.5236 data_time: 0.0420 memory: 18104 grad_norm: 7.1186 loss: 2.4271 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3420 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.0851 2023/02/03 05:13:32 - mmengine - INFO - Epoch(train) [232][1680/1879] lr: 2.8813e-03 eta: 6:29:38 time: 0.4977 data_time: 0.0335 memory: 18104 grad_norm: 7.2388 loss: 2.4308 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4154 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.0154 2023/02/03 05:13:42 - mmengine - INFO - Epoch(train) [232][1700/1879] lr: 2.8788e-03 eta: 6:29:28 time: 0.5289 data_time: 0.0353 memory: 18104 grad_norm: 6.9387 loss: 2.0152 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 0.9753 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 1.0399 2023/02/03 05:13:53 - mmengine - INFO - Epoch(train) [232][1720/1879] lr: 2.8762e-03 eta: 6:29:18 time: 0.5257 data_time: 0.0324 memory: 18104 grad_norm: 6.9173 loss: 2.1446 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.1071 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.0376 2023/02/03 05:14:03 - mmengine - INFO - Epoch(train) [232][1740/1879] lr: 2.8737e-03 eta: 6:29:07 time: 0.5047 data_time: 0.0357 memory: 18104 grad_norm: 6.8440 loss: 2.3322 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2225 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 1.1097 2023/02/03 05:14:13 - mmengine - INFO - Epoch(train) [232][1760/1879] lr: 2.8712e-03 eta: 6:28:57 time: 0.5127 data_time: 0.0339 memory: 18104 grad_norm: 7.0624 loss: 2.4214 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3021 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.1193 2023/02/03 05:14:24 - mmengine - INFO - Epoch(train) [232][1780/1879] lr: 2.8687e-03 eta: 6:28:47 time: 0.5097 data_time: 0.0348 memory: 18104 grad_norm: 6.9324 loss: 2.1683 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1058 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.0625 2023/02/03 05:14:34 - mmengine - INFO - Epoch(train) [232][1800/1879] lr: 2.8662e-03 eta: 6:28:36 time: 0.5243 data_time: 0.0327 memory: 18104 grad_norm: 7.3357 loss: 2.2624 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2277 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.0347 2023/02/03 05:14:44 - mmengine - INFO - Epoch(train) [232][1820/1879] lr: 2.8637e-03 eta: 6:28:26 time: 0.5198 data_time: 0.0337 memory: 18104 grad_norm: 7.0006 loss: 2.1209 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1788 top1_acc_1: 0.8588 top5_acc_1: 0.9294 loss_cls_1: 0.9421 2023/02/03 05:14:55 - mmengine - INFO - Epoch(train) [232][1840/1879] lr: 2.8611e-03 eta: 6:28:16 time: 0.5280 data_time: 0.0333 memory: 18104 grad_norm: 7.1168 loss: 2.1115 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.1287 top1_acc_1: 0.8706 top5_acc_1: 0.9529 loss_cls_1: 0.9828 2023/02/03 05:15:06 - mmengine - INFO - Epoch(train) [232][1860/1879] lr: 2.8586e-03 eta: 6:28:06 time: 0.5270 data_time: 0.0353 memory: 18104 grad_norm: 7.1419 loss: 2.3684 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4510 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9174 2023/02/03 05:15:15 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 05:15:15 - mmengine - INFO - Epoch(train) [232][1879/1879] lr: 2.8563e-03 eta: 6:27:56 time: 0.4911 data_time: 0.0298 memory: 18104 grad_norm: 7.4058 loss: 2.3963 top1_acc_0: 0.5714 top5_acc_0: 0.8571 loss_cls_0: 1.3570 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 1.0393 2023/02/03 05:15:16 - mmengine - INFO - Saving checkpoint at 232 epochs 2023/02/03 05:15:27 - mmengine - INFO - Epoch(val) [232][ 20/155] eta: 0:01:01 time: 0.4577 data_time: 0.3453 memory: 1900 2023/02/03 05:15:36 - mmengine - INFO - Epoch(val) [232][ 40/155] eta: 0:00:52 time: 0.4516 data_time: 0.3400 memory: 1900 2023/02/03 05:15:44 - mmengine - INFO - Epoch(val) [232][ 60/155] eta: 0:00:42 time: 0.4200 data_time: 0.3085 memory: 1900 2023/02/03 05:15:53 - mmengine - INFO - Epoch(val) [232][ 80/155] eta: 0:00:33 time: 0.4677 data_time: 0.3565 memory: 1900 2023/02/03 05:16:02 - mmengine - INFO - Epoch(val) [232][100/155] eta: 0:00:24 time: 0.4457 data_time: 0.3343 memory: 1900 2023/02/03 05:16:12 - mmengine - INFO - Epoch(val) [232][120/155] eta: 0:00:15 time: 0.4642 data_time: 0.3532 memory: 1900 2023/02/03 05:16:20 - mmengine - INFO - Epoch(val) [232][140/155] eta: 0:00:06 time: 0.4443 data_time: 0.3338 memory: 1900 2023/02/03 05:16:28 - mmengine - INFO - Epoch(val) [232][155/155] acc/top1: 0.6861 acc/top5: 0.8800 acc/mean1: 0.6859 2023/02/03 05:16:28 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_228.pth is removed 2023/02/03 05:16:30 - mmengine - INFO - The best checkpoint with 0.6861 acc/top1 at 232 epoch is saved to best_acc/top1_epoch_232.pth. 2023/02/03 05:16:44 - mmengine - INFO - Epoch(train) [233][ 20/1879] lr: 2.8537e-03 eta: 6:27:47 time: 0.6895 data_time: 0.2269 memory: 18104 grad_norm: 7.0514 loss: 2.2227 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.2144 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.0083 2023/02/03 05:16:54 - mmengine - INFO - Epoch(train) [233][ 40/1879] lr: 2.8512e-03 eta: 6:27:36 time: 0.4806 data_time: 0.0337 memory: 18104 grad_norm: 6.9919 loss: 2.4371 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4113 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 1.0258 2023/02/03 05:17:04 - mmengine - INFO - Epoch(train) [233][ 60/1879] lr: 2.8487e-03 eta: 6:27:26 time: 0.4986 data_time: 0.0366 memory: 18104 grad_norm: 6.9680 loss: 1.9865 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 0.9677 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.0188 2023/02/03 05:17:10 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 05:17:14 - mmengine - INFO - Epoch(train) [233][ 80/1879] lr: 2.8462e-03 eta: 6:27:15 time: 0.5152 data_time: 0.0336 memory: 18104 grad_norm: 6.9642 loss: 2.2969 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2817 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.0152 2023/02/03 05:17:24 - mmengine - INFO - Epoch(train) [233][ 100/1879] lr: 2.8437e-03 eta: 6:27:05 time: 0.5033 data_time: 0.0359 memory: 18104 grad_norm: 7.2275 loss: 2.3002 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3010 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.9992 2023/02/03 05:17:34 - mmengine - INFO - Epoch(train) [233][ 120/1879] lr: 2.8412e-03 eta: 6:26:54 time: 0.4866 data_time: 0.0327 memory: 18104 grad_norm: 6.8030 loss: 2.1521 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.1623 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9899 2023/02/03 05:17:45 - mmengine - INFO - Epoch(train) [233][ 140/1879] lr: 2.8387e-03 eta: 6:26:44 time: 0.5334 data_time: 0.0347 memory: 18104 grad_norm: 6.9268 loss: 2.1911 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.1893 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.0018 2023/02/03 05:17:55 - mmengine - INFO - Epoch(train) [233][ 160/1879] lr: 2.8362e-03 eta: 6:26:34 time: 0.5019 data_time: 0.0319 memory: 18104 grad_norm: 6.9329 loss: 2.2825 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2971 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9854 2023/02/03 05:18:05 - mmengine - INFO - Epoch(train) [233][ 180/1879] lr: 2.8337e-03 eta: 6:26:23 time: 0.5005 data_time: 0.0342 memory: 18104 grad_norm: 7.1810 loss: 2.4538 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.3838 top1_acc_1: 0.7765 top5_acc_1: 0.9647 loss_cls_1: 1.0700 2023/02/03 05:18:15 - mmengine - INFO - Epoch(train) [233][ 200/1879] lr: 2.8312e-03 eta: 6:26:13 time: 0.4968 data_time: 0.0339 memory: 18104 grad_norm: 6.9786 loss: 2.0977 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1154 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 0.9823 2023/02/03 05:18:25 - mmengine - INFO - Epoch(train) [233][ 220/1879] lr: 2.8287e-03 eta: 6:26:02 time: 0.5157 data_time: 0.0353 memory: 18104 grad_norm: 7.1681 loss: 2.3077 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3458 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9619 2023/02/03 05:18:35 - mmengine - INFO - Epoch(train) [233][ 240/1879] lr: 2.8262e-03 eta: 6:25:52 time: 0.5106 data_time: 0.0416 memory: 18104 grad_norm: 6.9751 loss: 2.3004 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.3672 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9332 2023/02/03 05:18:45 - mmengine - INFO - Epoch(train) [233][ 260/1879] lr: 2.8237e-03 eta: 6:25:42 time: 0.5137 data_time: 0.0347 memory: 18104 grad_norm: 7.2273 loss: 2.3260 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2769 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 1.0490 2023/02/03 05:18:56 - mmengine - INFO - Epoch(train) [233][ 280/1879] lr: 2.8212e-03 eta: 6:25:31 time: 0.5029 data_time: 0.0332 memory: 18104 grad_norm: 7.1880 loss: 2.4134 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.4004 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 1.0129 2023/02/03 05:19:06 - mmengine - INFO - Epoch(train) [233][ 300/1879] lr: 2.8187e-03 eta: 6:25:21 time: 0.5082 data_time: 0.0354 memory: 18104 grad_norm: 7.1111 loss: 2.2194 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1950 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.0244 2023/02/03 05:19:16 - mmengine - INFO - Epoch(train) [233][ 320/1879] lr: 2.8162e-03 eta: 6:25:10 time: 0.5064 data_time: 0.0376 memory: 18104 grad_norm: 6.9054 loss: 2.2162 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2198 top1_acc_1: 0.6588 top5_acc_1: 0.9294 loss_cls_1: 0.9964 2023/02/03 05:19:26 - mmengine - INFO - Epoch(train) [233][ 340/1879] lr: 2.8138e-03 eta: 6:25:00 time: 0.5248 data_time: 0.0292 memory: 18104 grad_norm: 7.0295 loss: 2.0324 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1017 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 0.9307 2023/02/03 05:19:37 - mmengine - INFO - Epoch(train) [233][ 360/1879] lr: 2.8113e-03 eta: 6:24:50 time: 0.5087 data_time: 0.0368 memory: 18104 grad_norm: 7.0852 loss: 2.3699 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.3786 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 0.9913 2023/02/03 05:19:47 - mmengine - INFO - Epoch(train) [233][ 380/1879] lr: 2.8088e-03 eta: 6:24:40 time: 0.5164 data_time: 0.0294 memory: 18104 grad_norm: 7.0285 loss: 2.2029 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2516 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 0.9514 2023/02/03 05:19:57 - mmengine - INFO - Epoch(train) [233][ 400/1879] lr: 2.8063e-03 eta: 6:24:29 time: 0.5209 data_time: 0.0440 memory: 18104 grad_norm: 7.1359 loss: 2.1303 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.0671 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 1.0632 2023/02/03 05:20:08 - mmengine - INFO - Epoch(train) [233][ 420/1879] lr: 2.8038e-03 eta: 6:24:19 time: 0.5148 data_time: 0.0302 memory: 18104 grad_norm: 7.0471 loss: 2.1907 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.2109 top1_acc_1: 0.8235 top5_acc_1: 0.9059 loss_cls_1: 0.9797 2023/02/03 05:20:18 - mmengine - INFO - Epoch(train) [233][ 440/1879] lr: 2.8013e-03 eta: 6:24:08 time: 0.5027 data_time: 0.0372 memory: 18104 grad_norm: 7.1634 loss: 2.4057 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3550 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.0507 2023/02/03 05:20:28 - mmengine - INFO - Epoch(train) [233][ 460/1879] lr: 2.7988e-03 eta: 6:23:58 time: 0.5326 data_time: 0.0402 memory: 18104 grad_norm: 6.8575 loss: 2.2255 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2058 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.0198 2023/02/03 05:20:39 - mmengine - INFO - Epoch(train) [233][ 480/1879] lr: 2.7963e-03 eta: 6:23:48 time: 0.5006 data_time: 0.0329 memory: 18104 grad_norm: 7.0073 loss: 2.1819 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1231 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 1.0587 2023/02/03 05:20:49 - mmengine - INFO - Epoch(train) [233][ 500/1879] lr: 2.7939e-03 eta: 6:23:37 time: 0.5078 data_time: 0.0342 memory: 18104 grad_norm: 7.0652 loss: 2.4191 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3428 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0763 2023/02/03 05:20:59 - mmengine - INFO - Epoch(train) [233][ 520/1879] lr: 2.7914e-03 eta: 6:23:27 time: 0.5067 data_time: 0.0329 memory: 18104 grad_norm: 7.0578 loss: 2.3131 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2769 top1_acc_1: 0.8000 top5_acc_1: 0.8941 loss_cls_1: 1.0362 2023/02/03 05:21:09 - mmengine - INFO - Epoch(train) [233][ 540/1879] lr: 2.7889e-03 eta: 6:23:17 time: 0.5294 data_time: 0.0335 memory: 18104 grad_norm: 7.2392 loss: 2.3333 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.2999 top1_acc_1: 0.6588 top5_acc_1: 0.8471 loss_cls_1: 1.0334 2023/02/03 05:21:20 - mmengine - INFO - Epoch(train) [233][ 560/1879] lr: 2.7864e-03 eta: 6:23:06 time: 0.5029 data_time: 0.0338 memory: 18104 grad_norm: 7.0822 loss: 2.2676 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3141 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9535 2023/02/03 05:21:30 - mmengine - INFO - Epoch(train) [233][ 580/1879] lr: 2.7839e-03 eta: 6:22:56 time: 0.5127 data_time: 0.0333 memory: 18104 grad_norm: 7.2503 loss: 2.1576 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1643 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 0.9933 2023/02/03 05:21:40 - mmengine - INFO - Epoch(train) [233][ 600/1879] lr: 2.7815e-03 eta: 6:22:46 time: 0.5103 data_time: 0.0412 memory: 18104 grad_norm: 7.0231 loss: 2.2405 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.2219 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.0186 2023/02/03 05:21:50 - mmengine - INFO - Epoch(train) [233][ 620/1879] lr: 2.7790e-03 eta: 6:22:35 time: 0.5134 data_time: 0.0361 memory: 18104 grad_norm: 7.2153 loss: 2.2269 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2301 top1_acc_1: 0.6471 top5_acc_1: 0.8235 loss_cls_1: 0.9968 2023/02/03 05:22:00 - mmengine - INFO - Epoch(train) [233][ 640/1879] lr: 2.7765e-03 eta: 6:22:25 time: 0.5023 data_time: 0.0339 memory: 18104 grad_norm: 7.2303 loss: 2.3283 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3036 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.0247 2023/02/03 05:22:11 - mmengine - INFO - Epoch(train) [233][ 660/1879] lr: 2.7740e-03 eta: 6:22:15 time: 0.5185 data_time: 0.0359 memory: 18104 grad_norm: 7.0164 loss: 2.3051 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.3036 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.0015 2023/02/03 05:22:21 - mmengine - INFO - Epoch(train) [233][ 680/1879] lr: 2.7716e-03 eta: 6:22:04 time: 0.4974 data_time: 0.0345 memory: 18104 grad_norm: 6.9011 loss: 2.2649 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.2914 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9735 2023/02/03 05:22:31 - mmengine - INFO - Epoch(train) [233][ 700/1879] lr: 2.7691e-03 eta: 6:21:54 time: 0.5213 data_time: 0.0334 memory: 18104 grad_norm: 7.0486 loss: 2.3953 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.3918 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.0035 2023/02/03 05:22:41 - mmengine - INFO - Epoch(train) [233][ 720/1879] lr: 2.7666e-03 eta: 6:21:43 time: 0.4958 data_time: 0.0342 memory: 18104 grad_norm: 7.1562 loss: 2.3557 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.3485 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 1.0071 2023/02/03 05:22:51 - mmengine - INFO - Epoch(train) [233][ 740/1879] lr: 2.7642e-03 eta: 6:21:33 time: 0.5136 data_time: 0.0408 memory: 18104 grad_norm: 7.1893 loss: 2.3693 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3842 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 0.9851 2023/02/03 05:23:01 - mmengine - INFO - Epoch(train) [233][ 760/1879] lr: 2.7617e-03 eta: 6:21:23 time: 0.4929 data_time: 0.0336 memory: 18104 grad_norm: 7.1195 loss: 2.2038 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.2324 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.9714 2023/02/03 05:23:12 - mmengine - INFO - Epoch(train) [233][ 780/1879] lr: 2.7592e-03 eta: 6:21:12 time: 0.5186 data_time: 0.0343 memory: 18104 grad_norm: 7.0843 loss: 2.2265 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.1691 top1_acc_1: 0.6824 top5_acc_1: 0.8235 loss_cls_1: 1.0574 2023/02/03 05:23:22 - mmengine - INFO - Epoch(train) [233][ 800/1879] lr: 2.7567e-03 eta: 6:21:02 time: 0.5088 data_time: 0.0419 memory: 18104 grad_norm: 7.2555 loss: 2.2317 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2880 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9437 2023/02/03 05:23:32 - mmengine - INFO - Epoch(train) [233][ 820/1879] lr: 2.7543e-03 eta: 6:20:51 time: 0.5023 data_time: 0.0332 memory: 18104 grad_norm: 7.3093 loss: 2.3958 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3712 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 1.0246 2023/02/03 05:23:42 - mmengine - INFO - Epoch(train) [233][ 840/1879] lr: 2.7518e-03 eta: 6:20:41 time: 0.5096 data_time: 0.0349 memory: 18104 grad_norm: 6.9782 loss: 2.2930 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2571 top1_acc_1: 0.8235 top5_acc_1: 0.8824 loss_cls_1: 1.0360 2023/02/03 05:23:52 - mmengine - INFO - Epoch(train) [233][ 860/1879] lr: 2.7494e-03 eta: 6:20:31 time: 0.5087 data_time: 0.0359 memory: 18104 grad_norm: 7.1857 loss: 2.3417 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.3209 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.0208 2023/02/03 05:24:03 - mmengine - INFO - Epoch(train) [233][ 880/1879] lr: 2.7469e-03 eta: 6:20:20 time: 0.5118 data_time: 0.0345 memory: 18104 grad_norm: 7.2511 loss: 2.4207 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.3704 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.0503 2023/02/03 05:24:13 - mmengine - INFO - Epoch(train) [233][ 900/1879] lr: 2.7444e-03 eta: 6:20:10 time: 0.5177 data_time: 0.0345 memory: 18104 grad_norm: 7.1252 loss: 2.2797 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2780 top1_acc_1: 0.8235 top5_acc_1: 0.9059 loss_cls_1: 1.0018 2023/02/03 05:24:23 - mmengine - INFO - Epoch(train) [233][ 920/1879] lr: 2.7420e-03 eta: 6:20:00 time: 0.5084 data_time: 0.0354 memory: 18104 grad_norm: 6.9970 loss: 2.3352 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3328 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.0024 2023/02/03 05:24:34 - mmengine - INFO - Epoch(train) [233][ 940/1879] lr: 2.7395e-03 eta: 6:19:49 time: 0.5177 data_time: 0.0352 memory: 18104 grad_norm: 7.1324 loss: 2.3452 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3277 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 1.0175 2023/02/03 05:24:44 - mmengine - INFO - Epoch(train) [233][ 960/1879] lr: 2.7371e-03 eta: 6:19:39 time: 0.5148 data_time: 0.0407 memory: 18104 grad_norm: 6.8609 loss: 2.2671 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.3251 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 0.9421 2023/02/03 05:24:55 - mmengine - INFO - Epoch(train) [233][ 980/1879] lr: 2.7346e-03 eta: 6:19:29 time: 0.5307 data_time: 0.0339 memory: 18104 grad_norm: 6.9683 loss: 2.1175 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2059 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9116 2023/02/03 05:25:05 - mmengine - INFO - Epoch(train) [233][1000/1879] lr: 2.7321e-03 eta: 6:19:18 time: 0.5235 data_time: 0.0342 memory: 18104 grad_norm: 7.1670 loss: 2.1859 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2345 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 0.9514 2023/02/03 05:25:16 - mmengine - INFO - Epoch(train) [233][1020/1879] lr: 2.7297e-03 eta: 6:19:08 time: 0.5340 data_time: 0.0293 memory: 18104 grad_norm: 7.2484 loss: 2.4544 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.4101 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.0442 2023/02/03 05:25:27 - mmengine - INFO - Epoch(train) [233][1040/1879] lr: 2.7272e-03 eta: 6:18:58 time: 0.5337 data_time: 0.0345 memory: 18104 grad_norm: 7.2346 loss: 2.3651 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3523 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.0128 2023/02/03 05:25:37 - mmengine - INFO - Epoch(train) [233][1060/1879] lr: 2.7248e-03 eta: 6:18:48 time: 0.5336 data_time: 0.0309 memory: 18104 grad_norm: 7.1267 loss: 2.2842 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2766 top1_acc_1: 0.7059 top5_acc_1: 0.9412 loss_cls_1: 1.0076 2023/02/03 05:25:44 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 05:25:48 - mmengine - INFO - Epoch(train) [233][1080/1879] lr: 2.7223e-03 eta: 6:18:38 time: 0.5548 data_time: 0.0427 memory: 18104 grad_norm: 7.2914 loss: 2.4625 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.4299 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.0326 2023/02/03 05:25:59 - mmengine - INFO - Epoch(train) [233][1100/1879] lr: 2.7199e-03 eta: 6:18:28 time: 0.5180 data_time: 0.0303 memory: 18104 grad_norm: 6.9876 loss: 2.3107 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3060 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.0047 2023/02/03 05:26:10 - mmengine - INFO - Epoch(train) [233][1120/1879] lr: 2.7174e-03 eta: 6:18:17 time: 0.5382 data_time: 0.0356 memory: 18104 grad_norm: 6.8780 loss: 2.0666 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1194 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 0.9472 2023/02/03 05:26:21 - mmengine - INFO - Epoch(train) [233][1140/1879] lr: 2.7150e-03 eta: 6:18:07 time: 0.5583 data_time: 0.0302 memory: 18104 grad_norm: 7.1915 loss: 2.3344 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2643 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 1.0701 2023/02/03 05:26:31 - mmengine - INFO - Epoch(train) [233][1160/1879] lr: 2.7125e-03 eta: 6:17:57 time: 0.5368 data_time: 0.0362 memory: 18104 grad_norm: 7.1970 loss: 2.4214 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.4986 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.9228 2023/02/03 05:26:42 - mmengine - INFO - Epoch(train) [233][1180/1879] lr: 2.7101e-03 eta: 6:17:47 time: 0.5355 data_time: 0.0301 memory: 18104 grad_norm: 7.2995 loss: 2.3819 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4319 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 0.9500 2023/02/03 05:26:53 - mmengine - INFO - Epoch(train) [233][1200/1879] lr: 2.7076e-03 eta: 6:17:37 time: 0.5497 data_time: 0.0355 memory: 18104 grad_norm: 7.1391 loss: 2.3426 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3933 top1_acc_1: 0.8588 top5_acc_1: 0.9294 loss_cls_1: 0.9493 2023/02/03 05:27:04 - mmengine - INFO - Epoch(train) [233][1220/1879] lr: 2.7052e-03 eta: 6:17:27 time: 0.5512 data_time: 0.0391 memory: 18104 grad_norm: 7.1692 loss: 2.1299 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.1617 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9682 2023/02/03 05:27:15 - mmengine - INFO - Epoch(train) [233][1240/1879] lr: 2.7028e-03 eta: 6:17:17 time: 0.5351 data_time: 0.0354 memory: 18104 grad_norm: 7.1418 loss: 2.2992 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2864 top1_acc_1: 0.7412 top5_acc_1: 0.9529 loss_cls_1: 1.0129 2023/02/03 05:27:25 - mmengine - INFO - Epoch(train) [233][1260/1879] lr: 2.7003e-03 eta: 6:17:06 time: 0.5146 data_time: 0.0316 memory: 18104 grad_norm: 7.1668 loss: 2.3561 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.3696 top1_acc_1: 0.7529 top5_acc_1: 0.8471 loss_cls_1: 0.9865 2023/02/03 05:27:36 - mmengine - INFO - Epoch(train) [233][1280/1879] lr: 2.6979e-03 eta: 6:16:56 time: 0.5530 data_time: 0.0356 memory: 18104 grad_norm: 7.4019 loss: 2.3342 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3981 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.9362 2023/02/03 05:27:47 - mmengine - INFO - Epoch(train) [233][1300/1879] lr: 2.6954e-03 eta: 6:16:46 time: 0.5153 data_time: 0.0388 memory: 18104 grad_norm: 7.0128 loss: 2.0299 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1242 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 0.9057 2023/02/03 05:27:57 - mmengine - INFO - Epoch(train) [233][1320/1879] lr: 2.6930e-03 eta: 6:16:36 time: 0.5326 data_time: 0.0349 memory: 18104 grad_norm: 7.2658 loss: 2.3676 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.2655 top1_acc_1: 0.6118 top5_acc_1: 0.8941 loss_cls_1: 1.1021 2023/02/03 05:28:08 - mmengine - INFO - Epoch(train) [233][1340/1879] lr: 2.6906e-03 eta: 6:16:26 time: 0.5364 data_time: 0.0365 memory: 18104 grad_norm: 7.2070 loss: 2.3088 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.3155 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 0.9933 2023/02/03 05:28:19 - mmengine - INFO - Epoch(train) [233][1360/1879] lr: 2.6881e-03 eta: 6:16:16 time: 0.5503 data_time: 0.0367 memory: 18104 grad_norm: 7.2007 loss: 2.4481 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.4949 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9532 2023/02/03 05:28:30 - mmengine - INFO - Epoch(train) [233][1380/1879] lr: 2.6857e-03 eta: 6:16:05 time: 0.5217 data_time: 0.0363 memory: 18104 grad_norm: 7.2561 loss: 2.4009 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.3843 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.0166 2023/02/03 05:28:41 - mmengine - INFO - Epoch(train) [233][1400/1879] lr: 2.6832e-03 eta: 6:15:55 time: 0.5516 data_time: 0.0292 memory: 18104 grad_norm: 7.1616 loss: 2.3347 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3303 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.0044 2023/02/03 05:28:52 - mmengine - INFO - Epoch(train) [233][1420/1879] lr: 2.6808e-03 eta: 6:15:45 time: 0.5442 data_time: 0.0431 memory: 18104 grad_norm: 7.2948 loss: 2.2898 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2901 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9997 2023/02/03 05:29:02 - mmengine - INFO - Epoch(train) [233][1440/1879] lr: 2.6784e-03 eta: 6:15:35 time: 0.5386 data_time: 0.0316 memory: 18104 grad_norm: 7.4167 loss: 2.4172 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3898 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.0274 2023/02/03 05:29:13 - mmengine - INFO - Epoch(train) [233][1460/1879] lr: 2.6759e-03 eta: 6:15:25 time: 0.5329 data_time: 0.0374 memory: 18104 grad_norm: 7.0212 loss: 2.1623 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.1399 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 1.0224 2023/02/03 05:29:24 - mmengine - INFO - Epoch(train) [233][1480/1879] lr: 2.6735e-03 eta: 6:15:15 time: 0.5562 data_time: 0.0361 memory: 18104 grad_norm: 7.1127 loss: 2.2598 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.2184 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0414 2023/02/03 05:29:35 - mmengine - INFO - Epoch(train) [233][1500/1879] lr: 2.6711e-03 eta: 6:15:05 time: 0.5365 data_time: 0.0374 memory: 18104 grad_norm: 6.9690 loss: 2.1250 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1157 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 1.0093 2023/02/03 05:29:46 - mmengine - INFO - Epoch(train) [233][1520/1879] lr: 2.6687e-03 eta: 6:14:55 time: 0.5424 data_time: 0.0291 memory: 18104 grad_norm: 7.1996 loss: 2.3186 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4243 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 0.8943 2023/02/03 05:29:57 - mmengine - INFO - Epoch(train) [233][1540/1879] lr: 2.6662e-03 eta: 6:14:44 time: 0.5422 data_time: 0.0367 memory: 18104 grad_norm: 6.9955 loss: 2.2896 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2712 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 1.0183 2023/02/03 05:30:08 - mmengine - INFO - Epoch(train) [233][1560/1879] lr: 2.6638e-03 eta: 6:14:34 time: 0.5570 data_time: 0.0318 memory: 18104 grad_norm: 7.1203 loss: 2.3846 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.3146 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0700 2023/02/03 05:30:19 - mmengine - INFO - Epoch(train) [233][1580/1879] lr: 2.6614e-03 eta: 6:14:24 time: 0.5406 data_time: 0.0358 memory: 18104 grad_norm: 7.1499 loss: 2.3242 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.3188 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.0054 2023/02/03 05:30:30 - mmengine - INFO - Epoch(train) [233][1600/1879] lr: 2.6590e-03 eta: 6:14:14 time: 0.5502 data_time: 0.0277 memory: 18104 grad_norm: 7.1578 loss: 2.3925 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3625 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 1.0300 2023/02/03 05:30:41 - mmengine - INFO - Epoch(train) [233][1620/1879] lr: 2.6565e-03 eta: 6:14:04 time: 0.5649 data_time: 0.0460 memory: 18104 grad_norm: 6.8275 loss: 2.2143 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1702 top1_acc_1: 0.7059 top5_acc_1: 0.9529 loss_cls_1: 1.0440 2023/02/03 05:30:52 - mmengine - INFO - Epoch(train) [233][1640/1879] lr: 2.6541e-03 eta: 6:13:54 time: 0.5439 data_time: 0.0292 memory: 18104 grad_norm: 7.0958 loss: 2.3889 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.4072 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 0.9817 2023/02/03 05:31:03 - mmengine - INFO - Epoch(train) [233][1660/1879] lr: 2.6517e-03 eta: 6:13:44 time: 0.5646 data_time: 0.0362 memory: 18104 grad_norm: 7.0004 loss: 2.5892 top1_acc_0: 0.3125 top5_acc_0: 0.5000 loss_cls_0: 1.5687 top1_acc_1: 0.7765 top5_acc_1: 0.8706 loss_cls_1: 1.0205 2023/02/03 05:31:15 - mmengine - INFO - Epoch(train) [233][1680/1879] lr: 2.6493e-03 eta: 6:13:34 time: 0.5630 data_time: 0.0379 memory: 18104 grad_norm: 7.1195 loss: 2.3829 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.4409 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 0.9420 2023/02/03 05:31:26 - mmengine - INFO - Epoch(train) [233][1700/1879] lr: 2.6469e-03 eta: 6:13:24 time: 0.5599 data_time: 0.0369 memory: 18104 grad_norm: 7.1405 loss: 2.1454 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2114 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 0.9340 2023/02/03 05:31:37 - mmengine - INFO - Epoch(train) [233][1720/1879] lr: 2.6444e-03 eta: 6:13:14 time: 0.5456 data_time: 0.0292 memory: 18104 grad_norm: 7.1893 loss: 2.3097 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.3998 top1_acc_1: 0.8588 top5_acc_1: 0.9647 loss_cls_1: 0.9099 2023/02/03 05:31:48 - mmengine - INFO - Epoch(train) [233][1740/1879] lr: 2.6420e-03 eta: 6:13:04 time: 0.5626 data_time: 0.0478 memory: 18104 grad_norm: 7.1134 loss: 2.3181 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.3887 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 0.9294 2023/02/03 05:31:59 - mmengine - INFO - Epoch(train) [233][1760/1879] lr: 2.6396e-03 eta: 6:12:54 time: 0.5371 data_time: 0.0308 memory: 18104 grad_norm: 7.3129 loss: 2.2140 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.1557 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.0583 2023/02/03 05:32:10 - mmengine - INFO - Epoch(train) [233][1780/1879] lr: 2.6372e-03 eta: 6:12:44 time: 0.5476 data_time: 0.0359 memory: 18104 grad_norm: 7.2608 loss: 2.3069 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.2914 top1_acc_1: 0.6471 top5_acc_1: 0.8471 loss_cls_1: 1.0155 2023/02/03 05:32:21 - mmengine - INFO - Epoch(train) [233][1800/1879] lr: 2.6348e-03 eta: 6:12:34 time: 0.5355 data_time: 0.0313 memory: 18104 grad_norm: 7.3956 loss: 2.3593 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.4168 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.9426 2023/02/03 05:32:32 - mmengine - INFO - Epoch(train) [233][1820/1879] lr: 2.6324e-03 eta: 6:12:24 time: 0.5481 data_time: 0.0353 memory: 18104 grad_norm: 6.9622 loss: 2.3316 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3743 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9573 2023/02/03 05:32:42 - mmengine - INFO - Epoch(train) [233][1840/1879] lr: 2.6300e-03 eta: 6:12:13 time: 0.5333 data_time: 0.0306 memory: 18104 grad_norm: 7.0134 loss: 2.0234 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.1004 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9230 2023/02/03 05:32:53 - mmengine - INFO - Epoch(train) [233][1860/1879] lr: 2.6275e-03 eta: 6:12:03 time: 0.5441 data_time: 0.0360 memory: 18104 grad_norm: 7.1010 loss: 2.3718 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3835 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9882 2023/02/03 05:33:03 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 05:33:03 - mmengine - INFO - Epoch(train) [233][1879/1879] lr: 2.6253e-03 eta: 6:11:53 time: 0.5121 data_time: 0.0314 memory: 18104 grad_norm: 7.4968 loss: 2.4961 top1_acc_0: 0.7143 top5_acc_0: 0.7143 loss_cls_0: 1.4867 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0094 2023/02/03 05:33:18 - mmengine - INFO - Epoch(train) [234][ 20/1879] lr: 2.6229e-03 eta: 6:11:45 time: 0.7321 data_time: 0.2510 memory: 18104 grad_norm: 6.9876 loss: 2.4002 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.3973 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.0029 2023/02/03 05:33:28 - mmengine - INFO - Epoch(train) [234][ 40/1879] lr: 2.6204e-03 eta: 6:11:34 time: 0.4837 data_time: 0.0336 memory: 18104 grad_norm: 7.0923 loss: 2.3190 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3810 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9379 2023/02/03 05:33:38 - mmengine - INFO - Epoch(train) [234][ 60/1879] lr: 2.6180e-03 eta: 6:11:24 time: 0.4986 data_time: 0.0358 memory: 18104 grad_norm: 7.1063 loss: 2.3686 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.4369 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9316 2023/02/03 05:33:49 - mmengine - INFO - Epoch(train) [234][ 80/1879] lr: 2.6156e-03 eta: 6:11:13 time: 0.5278 data_time: 0.0401 memory: 18104 grad_norm: 6.9398 loss: 1.9514 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0196 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.9319 2023/02/03 05:33:58 - mmengine - INFO - Epoch(train) [234][ 100/1879] lr: 2.6132e-03 eta: 6:11:03 time: 0.4911 data_time: 0.0376 memory: 18104 grad_norm: 6.8352 loss: 2.0770 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.1479 top1_acc_1: 0.8706 top5_acc_1: 0.9647 loss_cls_1: 0.9290 2023/02/03 05:34:08 - mmengine - INFO - Epoch(train) [234][ 120/1879] lr: 2.6108e-03 eta: 6:10:52 time: 0.4839 data_time: 0.0340 memory: 18104 grad_norm: 7.0326 loss: 2.1431 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1702 top1_acc_1: 0.7412 top5_acc_1: 0.9647 loss_cls_1: 0.9729 2023/02/03 05:34:18 - mmengine - INFO - Epoch(train) [234][ 140/1879] lr: 2.6084e-03 eta: 6:10:42 time: 0.5097 data_time: 0.0434 memory: 18104 grad_norm: 7.0383 loss: 2.4580 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3897 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 1.0683 2023/02/03 05:34:28 - mmengine - INFO - Epoch(train) [234][ 160/1879] lr: 2.6060e-03 eta: 6:10:32 time: 0.4954 data_time: 0.0300 memory: 18104 grad_norm: 7.1518 loss: 2.3068 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3466 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.9603 2023/02/03 05:34:38 - mmengine - INFO - Epoch(train) [234][ 180/1879] lr: 2.6036e-03 eta: 6:10:21 time: 0.4943 data_time: 0.0401 memory: 18104 grad_norm: 7.2474 loss: 2.0803 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2012 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.8791 2023/02/03 05:34:44 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 05:34:48 - mmengine - INFO - Epoch(train) [234][ 200/1879] lr: 2.6012e-03 eta: 6:10:11 time: 0.4925 data_time: 0.0379 memory: 18104 grad_norm: 6.9485 loss: 2.2614 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.2659 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 0.9956 2023/02/03 05:34:59 - mmengine - INFO - Epoch(train) [234][ 220/1879] lr: 2.5988e-03 eta: 6:10:00 time: 0.5307 data_time: 0.0365 memory: 18104 grad_norm: 7.2483 loss: 2.1870 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.2013 top1_acc_1: 0.8000 top5_acc_1: 0.9765 loss_cls_1: 0.9857 2023/02/03 05:35:09 - mmengine - INFO - Epoch(train) [234][ 240/1879] lr: 2.5964e-03 eta: 6:09:50 time: 0.4978 data_time: 0.0317 memory: 18104 grad_norm: 6.8232 loss: 2.1625 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2431 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.9194 2023/02/03 05:35:19 - mmengine - INFO - Epoch(train) [234][ 260/1879] lr: 2.5940e-03 eta: 6:09:39 time: 0.5059 data_time: 0.0432 memory: 18104 grad_norm: 7.1170 loss: 2.2582 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3018 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9564 2023/02/03 05:35:29 - mmengine - INFO - Epoch(train) [234][ 280/1879] lr: 2.5916e-03 eta: 6:09:29 time: 0.4987 data_time: 0.0319 memory: 18104 grad_norm: 7.1968 loss: 2.2889 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3133 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 0.9756 2023/02/03 05:35:39 - mmengine - INFO - Epoch(train) [234][ 300/1879] lr: 2.5893e-03 eta: 6:09:19 time: 0.5282 data_time: 0.0364 memory: 18104 grad_norm: 7.1806 loss: 2.1671 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2196 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9475 2023/02/03 05:35:49 - mmengine - INFO - Epoch(train) [234][ 320/1879] lr: 2.5869e-03 eta: 6:09:08 time: 0.4902 data_time: 0.0350 memory: 18104 grad_norm: 7.1394 loss: 2.2286 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.1959 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 1.0327 2023/02/03 05:35:59 - mmengine - INFO - Epoch(train) [234][ 340/1879] lr: 2.5845e-03 eta: 6:08:58 time: 0.5121 data_time: 0.0459 memory: 18104 grad_norm: 7.2212 loss: 2.3789 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.3912 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 0.9877 2023/02/03 05:36:09 - mmengine - INFO - Epoch(train) [234][ 360/1879] lr: 2.5821e-03 eta: 6:08:47 time: 0.4991 data_time: 0.0320 memory: 18104 grad_norm: 7.2758 loss: 2.1362 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1446 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.9916 2023/02/03 05:36:20 - mmengine - INFO - Epoch(train) [234][ 380/1879] lr: 2.5797e-03 eta: 6:08:37 time: 0.5081 data_time: 0.0396 memory: 18104 grad_norm: 6.9713 loss: 2.3394 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3545 top1_acc_1: 0.7882 top5_acc_1: 0.9647 loss_cls_1: 0.9849 2023/02/03 05:36:29 - mmengine - INFO - Epoch(train) [234][ 400/1879] lr: 2.5773e-03 eta: 6:08:27 time: 0.4886 data_time: 0.0310 memory: 18104 grad_norm: 7.0259 loss: 2.1764 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.1711 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.0054 2023/02/03 05:36:40 - mmengine - INFO - Epoch(train) [234][ 420/1879] lr: 2.5749e-03 eta: 6:08:16 time: 0.5224 data_time: 0.0369 memory: 18104 grad_norm: 7.3339 loss: 2.3505 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 1.4037 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 0.9468 2023/02/03 05:36:50 - mmengine - INFO - Epoch(train) [234][ 440/1879] lr: 2.5725e-03 eta: 6:08:06 time: 0.4969 data_time: 0.0309 memory: 18104 grad_norm: 7.1081 loss: 2.1069 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1351 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 0.9718 2023/02/03 05:37:00 - mmengine - INFO - Epoch(train) [234][ 460/1879] lr: 2.5702e-03 eta: 6:07:55 time: 0.5098 data_time: 0.0454 memory: 18104 grad_norm: 7.3876 loss: 2.2806 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.3032 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 0.9773 2023/02/03 05:37:10 - mmengine - INFO - Epoch(train) [234][ 480/1879] lr: 2.5678e-03 eta: 6:07:45 time: 0.4868 data_time: 0.0346 memory: 18104 grad_norm: 7.0848 loss: 2.1558 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2020 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 0.9538 2023/02/03 05:37:20 - mmengine - INFO - Epoch(train) [234][ 500/1879] lr: 2.5654e-03 eta: 6:07:34 time: 0.5050 data_time: 0.0381 memory: 18104 grad_norm: 7.1427 loss: 2.2960 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3497 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.9464 2023/02/03 05:37:30 - mmengine - INFO - Epoch(train) [234][ 520/1879] lr: 2.5630e-03 eta: 6:07:24 time: 0.4939 data_time: 0.0317 memory: 18104 grad_norm: 7.1565 loss: 2.4591 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4486 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.0104 2023/02/03 05:37:40 - mmengine - INFO - Epoch(train) [234][ 540/1879] lr: 2.5606e-03 eta: 6:07:14 time: 0.5104 data_time: 0.0499 memory: 18104 grad_norm: 7.0815 loss: 2.2251 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2463 top1_acc_1: 0.6941 top5_acc_1: 0.9412 loss_cls_1: 0.9788 2023/02/03 05:37:50 - mmengine - INFO - Epoch(train) [234][ 560/1879] lr: 2.5582e-03 eta: 6:07:03 time: 0.4835 data_time: 0.0328 memory: 18104 grad_norm: 6.9179 loss: 2.0576 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1132 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 0.9444 2023/02/03 05:38:00 - mmengine - INFO - Epoch(train) [234][ 580/1879] lr: 2.5559e-03 eta: 6:06:53 time: 0.5115 data_time: 0.0359 memory: 18104 grad_norm: 7.2021 loss: 2.2549 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.2775 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 0.9774 2023/02/03 05:38:10 - mmengine - INFO - Epoch(train) [234][ 600/1879] lr: 2.5535e-03 eta: 6:06:42 time: 0.4989 data_time: 0.0389 memory: 18104 grad_norm: 7.0130 loss: 2.0804 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.0981 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.9823 2023/02/03 05:38:20 - mmengine - INFO - Epoch(train) [234][ 620/1879] lr: 2.5511e-03 eta: 6:06:32 time: 0.5041 data_time: 0.0370 memory: 18104 grad_norm: 7.1853 loss: 2.2867 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2587 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.0279 2023/02/03 05:38:30 - mmengine - INFO - Epoch(train) [234][ 640/1879] lr: 2.5487e-03 eta: 6:06:21 time: 0.4959 data_time: 0.0316 memory: 18104 grad_norm: 7.0428 loss: 2.4978 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.4570 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0408 2023/02/03 05:38:40 - mmengine - INFO - Epoch(train) [234][ 660/1879] lr: 2.5464e-03 eta: 6:06:11 time: 0.5165 data_time: 0.0427 memory: 18104 grad_norm: 7.1406 loss: 2.1454 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2457 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.8996 2023/02/03 05:38:51 - mmengine - INFO - Epoch(train) [234][ 680/1879] lr: 2.5440e-03 eta: 6:06:01 time: 0.5006 data_time: 0.0289 memory: 18104 grad_norm: 7.3622 loss: 2.3533 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 1.3927 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9606 2023/02/03 05:39:00 - mmengine - INFO - Epoch(train) [234][ 700/1879] lr: 2.5416e-03 eta: 6:05:50 time: 0.4968 data_time: 0.0376 memory: 18104 grad_norm: 7.2184 loss: 2.0952 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1357 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 0.9595 2023/02/03 05:39:10 - mmengine - INFO - Epoch(train) [234][ 720/1879] lr: 2.5393e-03 eta: 6:05:40 time: 0.4931 data_time: 0.0309 memory: 18104 grad_norm: 7.1562 loss: 2.4516 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.4159 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 1.0358 2023/02/03 05:39:21 - mmengine - INFO - Epoch(train) [234][ 740/1879] lr: 2.5369e-03 eta: 6:05:29 time: 0.5110 data_time: 0.0393 memory: 18104 grad_norm: 7.3628 loss: 2.1617 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1266 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0351 2023/02/03 05:39:31 - mmengine - INFO - Epoch(train) [234][ 760/1879] lr: 2.5345e-03 eta: 6:05:19 time: 0.4936 data_time: 0.0278 memory: 18104 grad_norm: 7.1580 loss: 2.2213 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2234 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9979 2023/02/03 05:39:41 - mmengine - INFO - Epoch(train) [234][ 780/1879] lr: 2.5322e-03 eta: 6:05:08 time: 0.5004 data_time: 0.0404 memory: 18104 grad_norm: 7.1281 loss: 2.5962 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.6085 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 0.9877 2023/02/03 05:39:51 - mmengine - INFO - Epoch(train) [234][ 800/1879] lr: 2.5298e-03 eta: 6:04:58 time: 0.4988 data_time: 0.0306 memory: 18104 grad_norm: 7.0908 loss: 2.2469 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.2779 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.9690 2023/02/03 05:40:01 - mmengine - INFO - Epoch(train) [234][ 820/1879] lr: 2.5274e-03 eta: 6:04:48 time: 0.5229 data_time: 0.0388 memory: 18104 grad_norm: 7.0889 loss: 2.3998 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.3787 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.0211 2023/02/03 05:40:11 - mmengine - INFO - Epoch(train) [234][ 840/1879] lr: 2.5251e-03 eta: 6:04:37 time: 0.4897 data_time: 0.0286 memory: 18104 grad_norm: 7.1802 loss: 2.1400 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2083 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 0.9317 2023/02/03 05:40:21 - mmengine - INFO - Epoch(train) [234][ 860/1879] lr: 2.5227e-03 eta: 6:04:27 time: 0.5268 data_time: 0.0460 memory: 18104 grad_norm: 7.1923 loss: 2.2822 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.2546 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.0276 2023/02/03 05:40:31 - mmengine - INFO - Epoch(train) [234][ 880/1879] lr: 2.5203e-03 eta: 6:04:16 time: 0.4983 data_time: 0.0300 memory: 18104 grad_norm: 6.9682 loss: 2.0440 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1260 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 0.9179 2023/02/03 05:40:42 - mmengine - INFO - Epoch(train) [234][ 900/1879] lr: 2.5180e-03 eta: 6:04:06 time: 0.5102 data_time: 0.0385 memory: 18104 grad_norm: 7.3032 loss: 2.2143 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.2140 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0003 2023/02/03 05:40:52 - mmengine - INFO - Epoch(train) [234][ 920/1879] lr: 2.5156e-03 eta: 6:03:56 time: 0.5062 data_time: 0.0302 memory: 18104 grad_norm: 7.2912 loss: 2.2654 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2553 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.0101 2023/02/03 05:41:02 - mmengine - INFO - Epoch(train) [234][ 940/1879] lr: 2.5133e-03 eta: 6:03:45 time: 0.5222 data_time: 0.0375 memory: 18104 grad_norm: 7.1436 loss: 2.2244 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.2463 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9781 2023/02/03 05:41:12 - mmengine - INFO - Epoch(train) [234][ 960/1879] lr: 2.5109e-03 eta: 6:03:35 time: 0.5007 data_time: 0.0314 memory: 18104 grad_norm: 7.1600 loss: 2.1848 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.2005 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 0.9843 2023/02/03 05:41:23 - mmengine - INFO - Epoch(train) [234][ 980/1879] lr: 2.5085e-03 eta: 6:03:25 time: 0.5274 data_time: 0.0460 memory: 18104 grad_norm: 7.1855 loss: 2.1953 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1923 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.0030 2023/02/03 05:41:33 - mmengine - INFO - Epoch(train) [234][1000/1879] lr: 2.5062e-03 eta: 6:03:14 time: 0.5139 data_time: 0.0296 memory: 18104 grad_norm: 7.2100 loss: 2.2385 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.2825 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9560 2023/02/03 05:41:44 - mmengine - INFO - Epoch(train) [234][1020/1879] lr: 2.5038e-03 eta: 6:03:04 time: 0.5264 data_time: 0.0363 memory: 18104 grad_norm: 7.1303 loss: 2.2372 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2875 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 0.9497 2023/02/03 05:41:54 - mmengine - INFO - Epoch(train) [234][1040/1879] lr: 2.5015e-03 eta: 6:02:54 time: 0.5077 data_time: 0.0308 memory: 18104 grad_norm: 7.1908 loss: 2.2640 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2657 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9983 2023/02/03 05:42:04 - mmengine - INFO - Epoch(train) [234][1060/1879] lr: 2.4991e-03 eta: 6:02:43 time: 0.5210 data_time: 0.0431 memory: 18104 grad_norm: 7.2691 loss: 2.3026 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3454 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.9572 2023/02/03 05:42:15 - mmengine - INFO - Epoch(train) [234][1080/1879] lr: 2.4968e-03 eta: 6:02:33 time: 0.5154 data_time: 0.0322 memory: 18104 grad_norm: 7.2900 loss: 2.1802 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2002 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 0.9800 2023/02/03 05:42:25 - mmengine - INFO - Epoch(train) [234][1100/1879] lr: 2.4944e-03 eta: 6:02:23 time: 0.5191 data_time: 0.0374 memory: 18104 grad_norm: 7.3102 loss: 2.5102 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.4948 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 1.0154 2023/02/03 05:42:35 - mmengine - INFO - Epoch(train) [234][1120/1879] lr: 2.4921e-03 eta: 6:02:12 time: 0.5175 data_time: 0.0370 memory: 18104 grad_norm: 7.2047 loss: 2.3373 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.4110 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 0.9263 2023/02/03 05:42:46 - mmengine - INFO - Epoch(train) [234][1140/1879] lr: 2.4897e-03 eta: 6:02:02 time: 0.5345 data_time: 0.0364 memory: 18104 grad_norm: 7.1677 loss: 2.3549 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.3142 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.0406 2023/02/03 05:42:57 - mmengine - INFO - Epoch(train) [234][1160/1879] lr: 2.4874e-03 eta: 6:01:52 time: 0.5161 data_time: 0.0289 memory: 18104 grad_norm: 7.1683 loss: 2.1140 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1836 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.9304 2023/02/03 05:43:07 - mmengine - INFO - Epoch(train) [234][1180/1879] lr: 2.4850e-03 eta: 6:01:42 time: 0.5306 data_time: 0.0364 memory: 18104 grad_norm: 7.1161 loss: 2.0293 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0972 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9320 2023/02/03 05:43:14 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 05:43:18 - mmengine - INFO - Epoch(train) [234][1200/1879] lr: 2.4827e-03 eta: 6:01:31 time: 0.5389 data_time: 0.0293 memory: 18104 grad_norm: 6.9722 loss: 2.5107 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.5044 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.0062 2023/02/03 05:43:28 - mmengine - INFO - Epoch(train) [234][1220/1879] lr: 2.4804e-03 eta: 6:01:21 time: 0.5186 data_time: 0.0362 memory: 18104 grad_norm: 7.0491 loss: 2.3175 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3674 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.9502 2023/02/03 05:43:39 - mmengine - INFO - Epoch(train) [234][1240/1879] lr: 2.4780e-03 eta: 6:01:11 time: 0.5253 data_time: 0.0372 memory: 18104 grad_norm: 7.0011 loss: 2.1204 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1527 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.9677 2023/02/03 05:43:50 - mmengine - INFO - Epoch(train) [234][1260/1879] lr: 2.4757e-03 eta: 6:01:01 time: 0.5540 data_time: 0.0355 memory: 18104 grad_norm: 6.9875 loss: 2.2981 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.2780 top1_acc_1: 0.8471 top5_acc_1: 0.9765 loss_cls_1: 1.0201 2023/02/03 05:44:00 - mmengine - INFO - Epoch(train) [234][1280/1879] lr: 2.4733e-03 eta: 6:00:51 time: 0.5172 data_time: 0.0285 memory: 18104 grad_norm: 6.8891 loss: 2.1515 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1592 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9923 2023/02/03 05:44:11 - mmengine - INFO - Epoch(train) [234][1300/1879] lr: 2.4710e-03 eta: 6:00:40 time: 0.5265 data_time: 0.0353 memory: 18104 grad_norm: 6.9028 loss: 2.3307 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3879 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.9428 2023/02/03 05:44:21 - mmengine - INFO - Epoch(train) [234][1320/1879] lr: 2.4687e-03 eta: 6:00:30 time: 0.5208 data_time: 0.0283 memory: 18104 grad_norm: 7.2546 loss: 2.1444 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.1659 top1_acc_1: 0.8000 top5_acc_1: 0.8941 loss_cls_1: 0.9784 2023/02/03 05:44:32 - mmengine - INFO - Epoch(train) [234][1340/1879] lr: 2.4663e-03 eta: 6:00:20 time: 0.5383 data_time: 0.0370 memory: 18104 grad_norm: 7.0976 loss: 2.1896 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2057 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 0.9838 2023/02/03 05:44:43 - mmengine - INFO - Epoch(train) [234][1360/1879] lr: 2.4640e-03 eta: 6:00:10 time: 0.5262 data_time: 0.0315 memory: 18104 grad_norm: 7.0912 loss: 2.1153 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1166 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.9986 2023/02/03 05:44:53 - mmengine - INFO - Epoch(train) [234][1380/1879] lr: 2.4616e-03 eta: 5:59:59 time: 0.5371 data_time: 0.0435 memory: 18104 grad_norm: 7.2050 loss: 2.1996 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2289 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9706 2023/02/03 05:45:04 - mmengine - INFO - Epoch(train) [234][1400/1879] lr: 2.4593e-03 eta: 5:59:49 time: 0.5427 data_time: 0.0293 memory: 18104 grad_norm: 7.1495 loss: 2.3277 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.3678 top1_acc_1: 0.7412 top5_acc_1: 0.8235 loss_cls_1: 0.9598 2023/02/03 05:45:15 - mmengine - INFO - Epoch(train) [234][1420/1879] lr: 2.4570e-03 eta: 5:59:39 time: 0.5236 data_time: 0.0352 memory: 18104 grad_norm: 7.1485 loss: 2.5074 top1_acc_0: 0.3750 top5_acc_0: 0.8125 loss_cls_0: 1.4484 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.0590 2023/02/03 05:45:26 - mmengine - INFO - Epoch(train) [234][1440/1879] lr: 2.4547e-03 eta: 5:59:29 time: 0.5332 data_time: 0.0301 memory: 18104 grad_norm: 7.0491 loss: 2.0624 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.0945 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 0.9680 2023/02/03 05:45:37 - mmengine - INFO - Epoch(train) [234][1460/1879] lr: 2.4523e-03 eta: 5:59:19 time: 0.5508 data_time: 0.0365 memory: 18104 grad_norm: 7.1256 loss: 2.2209 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.3335 top1_acc_1: 0.6941 top5_acc_1: 0.9412 loss_cls_1: 0.8874 2023/02/03 05:45:47 - mmengine - INFO - Epoch(train) [234][1480/1879] lr: 2.4500e-03 eta: 5:59:09 time: 0.5388 data_time: 0.0310 memory: 18104 grad_norm: 7.0790 loss: 2.2191 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.2702 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9489 2023/02/03 05:45:58 - mmengine - INFO - Epoch(train) [234][1500/1879] lr: 2.4477e-03 eta: 5:58:58 time: 0.5356 data_time: 0.0420 memory: 18104 grad_norm: 7.3284 loss: 2.0795 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.1291 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 0.9505 2023/02/03 05:46:09 - mmengine - INFO - Epoch(train) [234][1520/1879] lr: 2.4453e-03 eta: 5:58:48 time: 0.5276 data_time: 0.0306 memory: 18104 grad_norm: 7.0906 loss: 2.2331 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2502 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.9828 2023/02/03 05:46:19 - mmengine - INFO - Epoch(train) [234][1540/1879] lr: 2.4430e-03 eta: 5:58:38 time: 0.5306 data_time: 0.0361 memory: 18104 grad_norm: 7.2588 loss: 2.2742 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3027 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9715 2023/02/03 05:46:30 - mmengine - INFO - Epoch(train) [234][1560/1879] lr: 2.4407e-03 eta: 5:58:28 time: 0.5208 data_time: 0.0336 memory: 18104 grad_norm: 7.1282 loss: 2.2909 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.3451 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 0.9458 2023/02/03 05:46:40 - mmengine - INFO - Epoch(train) [234][1580/1879] lr: 2.4384e-03 eta: 5:58:17 time: 0.5275 data_time: 0.0378 memory: 18104 grad_norm: 7.1803 loss: 2.4223 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.4448 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9775 2023/02/03 05:46:51 - mmengine - INFO - Epoch(train) [234][1600/1879] lr: 2.4360e-03 eta: 5:58:07 time: 0.5271 data_time: 0.0306 memory: 18104 grad_norm: 6.8653 loss: 2.2068 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1909 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.0158 2023/02/03 05:47:01 - mmengine - INFO - Epoch(train) [234][1620/1879] lr: 2.4337e-03 eta: 5:57:57 time: 0.5256 data_time: 0.0415 memory: 18104 grad_norm: 7.1968 loss: 2.1041 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.1837 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 0.9204 2023/02/03 05:47:12 - mmengine - INFO - Epoch(train) [234][1640/1879] lr: 2.4314e-03 eta: 5:57:47 time: 0.5273 data_time: 0.0296 memory: 18104 grad_norm: 7.0298 loss: 2.2051 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.1939 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 1.0112 2023/02/03 05:47:23 - mmengine - INFO - Epoch(train) [234][1660/1879] lr: 2.4291e-03 eta: 5:57:36 time: 0.5344 data_time: 0.0355 memory: 18104 grad_norm: 7.3535 loss: 2.1855 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.1957 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9897 2023/02/03 05:47:33 - mmengine - INFO - Epoch(train) [234][1680/1879] lr: 2.4268e-03 eta: 5:57:26 time: 0.5131 data_time: 0.0338 memory: 18104 grad_norm: 7.1820 loss: 2.2176 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.2046 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 1.0129 2023/02/03 05:47:44 - mmengine - INFO - Epoch(train) [234][1700/1879] lr: 2.4244e-03 eta: 5:57:16 time: 0.5367 data_time: 0.0472 memory: 18104 grad_norm: 7.2578 loss: 2.3079 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2693 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 1.0386 2023/02/03 05:47:54 - mmengine - INFO - Epoch(train) [234][1720/1879] lr: 2.4221e-03 eta: 5:57:06 time: 0.5290 data_time: 0.0347 memory: 18104 grad_norm: 6.9681 loss: 2.1403 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1539 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 0.9864 2023/02/03 05:48:05 - mmengine - INFO - Epoch(train) [234][1740/1879] lr: 2.4198e-03 eta: 5:56:55 time: 0.5172 data_time: 0.0348 memory: 18104 grad_norm: 7.0725 loss: 2.3502 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.2594 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 1.0908 2023/02/03 05:48:15 - mmengine - INFO - Epoch(train) [234][1760/1879] lr: 2.4175e-03 eta: 5:56:45 time: 0.5242 data_time: 0.0388 memory: 18104 grad_norm: 7.1981 loss: 2.1709 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.1880 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9829 2023/02/03 05:48:26 - mmengine - INFO - Epoch(train) [234][1780/1879] lr: 2.4152e-03 eta: 5:56:35 time: 0.5408 data_time: 0.0323 memory: 18104 grad_norm: 7.1757 loss: 2.2834 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2876 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9957 2023/02/03 05:48:37 - mmengine - INFO - Epoch(train) [234][1800/1879] lr: 2.4129e-03 eta: 5:56:25 time: 0.5196 data_time: 0.0352 memory: 18104 grad_norm: 7.2850 loss: 2.1880 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.2091 top1_acc_1: 0.7059 top5_acc_1: 0.9412 loss_cls_1: 0.9789 2023/02/03 05:48:47 - mmengine - INFO - Epoch(train) [234][1820/1879] lr: 2.4106e-03 eta: 5:56:14 time: 0.5370 data_time: 0.0348 memory: 18104 grad_norm: 7.2929 loss: 2.2470 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2893 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.9577 2023/02/03 05:48:58 - mmengine - INFO - Epoch(train) [234][1840/1879] lr: 2.4083e-03 eta: 5:56:04 time: 0.5196 data_time: 0.0319 memory: 18104 grad_norm: 7.1942 loss: 2.2635 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3036 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 0.9598 2023/02/03 05:49:08 - mmengine - INFO - Epoch(train) [234][1860/1879] lr: 2.4059e-03 eta: 5:55:54 time: 0.5329 data_time: 0.0324 memory: 18104 grad_norm: 7.3062 loss: 2.1984 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2736 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9248 2023/02/03 05:49:18 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 05:49:18 - mmengine - INFO - Epoch(train) [234][1879/1879] lr: 2.4038e-03 eta: 5:55:44 time: 0.5113 data_time: 0.0314 memory: 18104 grad_norm: 7.4268 loss: 2.3948 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 1.3932 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.0016 2023/02/03 05:49:33 - mmengine - INFO - Epoch(train) [235][ 20/1879] lr: 2.4014e-03 eta: 5:55:35 time: 0.7228 data_time: 0.2553 memory: 18104 grad_norm: 7.0548 loss: 2.2391 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2846 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 0.9545 2023/02/03 05:49:43 - mmengine - INFO - Epoch(train) [235][ 40/1879] lr: 2.3991e-03 eta: 5:55:25 time: 0.4813 data_time: 0.0316 memory: 18104 grad_norm: 7.0601 loss: 2.3414 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.3462 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 0.9952 2023/02/03 05:49:53 - mmengine - INFO - Epoch(train) [235][ 60/1879] lr: 2.3968e-03 eta: 5:55:14 time: 0.4942 data_time: 0.0398 memory: 18104 grad_norm: 7.1884 loss: 1.9677 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.0546 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9131 2023/02/03 05:50:03 - mmengine - INFO - Epoch(train) [235][ 80/1879] lr: 2.3945e-03 eta: 5:55:04 time: 0.5375 data_time: 0.0402 memory: 18104 grad_norm: 7.3649 loss: 2.3516 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.3742 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9775 2023/02/03 05:50:13 - mmengine - INFO - Epoch(train) [235][ 100/1879] lr: 2.3922e-03 eta: 5:54:53 time: 0.4936 data_time: 0.0341 memory: 18104 grad_norm: 7.1057 loss: 2.1630 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1322 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.0308 2023/02/03 05:50:23 - mmengine - INFO - Epoch(train) [235][ 120/1879] lr: 2.3899e-03 eta: 5:54:43 time: 0.4904 data_time: 0.0351 memory: 18104 grad_norm: 7.1733 loss: 2.3160 top1_acc_0: 0.3750 top5_acc_0: 0.8750 loss_cls_0: 1.3904 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.9256 2023/02/03 05:50:33 - mmengine - INFO - Epoch(train) [235][ 140/1879] lr: 2.3876e-03 eta: 5:54:33 time: 0.5103 data_time: 0.0367 memory: 18104 grad_norm: 7.1907 loss: 2.3741 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.3736 top1_acc_1: 0.6706 top5_acc_1: 0.9529 loss_cls_1: 1.0005 2023/02/03 05:50:44 - mmengine - INFO - Epoch(train) [235][ 160/1879] lr: 2.3853e-03 eta: 5:54:22 time: 0.5093 data_time: 0.0389 memory: 18104 grad_norm: 7.0588 loss: 2.3187 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.2858 top1_acc_1: 0.7059 top5_acc_1: 0.9412 loss_cls_1: 1.0329 2023/02/03 05:50:54 - mmengine - INFO - Epoch(train) [235][ 180/1879] lr: 2.3830e-03 eta: 5:54:12 time: 0.5000 data_time: 0.0309 memory: 18104 grad_norm: 7.1207 loss: 2.1636 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2329 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.9307 2023/02/03 05:51:04 - mmengine - INFO - Epoch(train) [235][ 200/1879] lr: 2.3807e-03 eta: 5:54:01 time: 0.4939 data_time: 0.0377 memory: 18104 grad_norm: 7.1826 loss: 2.2899 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3205 top1_acc_1: 0.8353 top5_acc_1: 0.9765 loss_cls_1: 0.9694 2023/02/03 05:51:14 - mmengine - INFO - Epoch(train) [235][ 220/1879] lr: 2.3784e-03 eta: 5:53:51 time: 0.5231 data_time: 0.0317 memory: 18104 grad_norm: 7.1455 loss: 2.1833 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.1819 top1_acc_1: 0.8235 top5_acc_1: 0.9059 loss_cls_1: 1.0014 2023/02/03 05:51:24 - mmengine - INFO - Epoch(train) [235][ 240/1879] lr: 2.3761e-03 eta: 5:53:41 time: 0.5128 data_time: 0.0375 memory: 18104 grad_norm: 7.1391 loss: 2.2083 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.2465 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9618 2023/02/03 05:51:35 - mmengine - INFO - Epoch(train) [235][ 260/1879] lr: 2.3738e-03 eta: 5:53:30 time: 0.5102 data_time: 0.0303 memory: 18104 grad_norm: 6.9496 loss: 2.3861 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4011 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9850 2023/02/03 05:51:45 - mmengine - INFO - Epoch(train) [235][ 280/1879] lr: 2.3716e-03 eta: 5:53:20 time: 0.5201 data_time: 0.0414 memory: 18104 grad_norm: 7.2279 loss: 2.4096 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4030 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.0065 2023/02/03 05:51:55 - mmengine - INFO - Epoch(train) [235][ 300/1879] lr: 2.3693e-03 eta: 5:53:10 time: 0.5158 data_time: 0.0302 memory: 18104 grad_norm: 7.1184 loss: 2.2063 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.2853 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9210 2023/02/03 05:52:03 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 05:52:06 - mmengine - INFO - Epoch(train) [235][ 320/1879] lr: 2.3670e-03 eta: 5:52:59 time: 0.5150 data_time: 0.0385 memory: 18104 grad_norm: 7.0872 loss: 2.1288 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1399 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9889 2023/02/03 05:52:16 - mmengine - INFO - Epoch(train) [235][ 340/1879] lr: 2.3647e-03 eta: 5:52:49 time: 0.5309 data_time: 0.0367 memory: 18104 grad_norm: 7.2088 loss: 2.3773 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4035 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9738 2023/02/03 05:52:27 - mmengine - INFO - Epoch(train) [235][ 360/1879] lr: 2.3624e-03 eta: 5:52:39 time: 0.5113 data_time: 0.0406 memory: 18104 grad_norm: 7.0892 loss: 2.3796 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.3642 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 1.0155 2023/02/03 05:52:37 - mmengine - INFO - Epoch(train) [235][ 380/1879] lr: 2.3601e-03 eta: 5:52:28 time: 0.5184 data_time: 0.0291 memory: 18104 grad_norm: 7.1185 loss: 2.0460 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.1317 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 0.9142 2023/02/03 05:52:47 - mmengine - INFO - Epoch(train) [235][ 400/1879] lr: 2.3578e-03 eta: 5:52:18 time: 0.5198 data_time: 0.0437 memory: 18104 grad_norm: 7.0194 loss: 2.1807 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.2127 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.9681 2023/02/03 05:52:58 - mmengine - INFO - Epoch(train) [235][ 420/1879] lr: 2.3555e-03 eta: 5:52:08 time: 0.5169 data_time: 0.0310 memory: 18104 grad_norm: 7.2044 loss: 2.2000 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.2472 top1_acc_1: 0.8471 top5_acc_1: 0.9765 loss_cls_1: 0.9527 2023/02/03 05:53:08 - mmengine - INFO - Epoch(train) [235][ 440/1879] lr: 2.3533e-03 eta: 5:51:57 time: 0.4972 data_time: 0.0394 memory: 18104 grad_norm: 7.2887 loss: 2.3106 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3717 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 0.9389 2023/02/03 05:53:18 - mmengine - INFO - Epoch(train) [235][ 460/1879] lr: 2.3510e-03 eta: 5:51:47 time: 0.5287 data_time: 0.0377 memory: 18104 grad_norm: 7.2291 loss: 2.3498 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 1.4082 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9415 2023/02/03 05:53:28 - mmengine - INFO - Epoch(train) [235][ 480/1879] lr: 2.3487e-03 eta: 5:51:37 time: 0.5062 data_time: 0.0387 memory: 18104 grad_norm: 7.2250 loss: 2.2199 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2011 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 1.0188 2023/02/03 05:53:39 - mmengine - INFO - Epoch(train) [235][ 500/1879] lr: 2.3464e-03 eta: 5:51:26 time: 0.5032 data_time: 0.0302 memory: 18104 grad_norm: 7.2104 loss: 2.1905 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2254 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9651 2023/02/03 05:53:49 - mmengine - INFO - Epoch(train) [235][ 520/1879] lr: 2.3441e-03 eta: 5:51:16 time: 0.5117 data_time: 0.0464 memory: 18104 grad_norm: 7.0968 loss: 2.0798 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1714 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.9084 2023/02/03 05:53:59 - mmengine - INFO - Epoch(train) [235][ 540/1879] lr: 2.3419e-03 eta: 5:51:05 time: 0.5154 data_time: 0.0287 memory: 18104 grad_norm: 7.2935 loss: 2.2744 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3193 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.9551 2023/02/03 05:54:09 - mmengine - INFO - Epoch(train) [235][ 560/1879] lr: 2.3396e-03 eta: 5:50:55 time: 0.5016 data_time: 0.0375 memory: 18104 grad_norm: 7.2657 loss: 2.3758 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3503 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 1.0255 2023/02/03 05:54:19 - mmengine - INFO - Epoch(train) [235][ 580/1879] lr: 2.3373e-03 eta: 5:50:45 time: 0.5075 data_time: 0.0310 memory: 18104 grad_norm: 7.1967 loss: 2.3485 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3396 top1_acc_1: 0.7176 top5_acc_1: 0.9529 loss_cls_1: 1.0089 2023/02/03 05:54:30 - mmengine - INFO - Epoch(train) [235][ 600/1879] lr: 2.3350e-03 eta: 5:50:34 time: 0.5202 data_time: 0.0466 memory: 18104 grad_norm: 7.0580 loss: 2.1816 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1902 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.9914 2023/02/03 05:54:40 - mmengine - INFO - Epoch(train) [235][ 620/1879] lr: 2.3327e-03 eta: 5:50:24 time: 0.5078 data_time: 0.0334 memory: 18104 grad_norm: 6.9943 loss: 2.2315 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3410 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 0.8905 2023/02/03 05:54:50 - mmengine - INFO - Epoch(train) [235][ 640/1879] lr: 2.3305e-03 eta: 5:50:14 time: 0.5056 data_time: 0.0386 memory: 18104 grad_norm: 7.1970 loss: 2.1144 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.1331 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9812 2023/02/03 05:55:00 - mmengine - INFO - Epoch(train) [235][ 660/1879] lr: 2.3282e-03 eta: 5:50:03 time: 0.5154 data_time: 0.0365 memory: 18104 grad_norm: 7.2044 loss: 2.2547 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3112 top1_acc_1: 0.8706 top5_acc_1: 0.9647 loss_cls_1: 0.9435 2023/02/03 05:55:11 - mmengine - INFO - Epoch(train) [235][ 680/1879] lr: 2.3259e-03 eta: 5:49:53 time: 0.5092 data_time: 0.0389 memory: 18104 grad_norm: 7.0593 loss: 2.2416 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2224 top1_acc_1: 0.8000 top5_acc_1: 0.8941 loss_cls_1: 1.0192 2023/02/03 05:55:21 - mmengine - INFO - Epoch(train) [235][ 700/1879] lr: 2.3237e-03 eta: 5:49:42 time: 0.5085 data_time: 0.0296 memory: 18104 grad_norm: 7.1546 loss: 2.3917 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3997 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.9920 2023/02/03 05:55:31 - mmengine - INFO - Epoch(train) [235][ 720/1879] lr: 2.3214e-03 eta: 5:49:32 time: 0.5106 data_time: 0.0432 memory: 18104 grad_norm: 7.1571 loss: 2.2010 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2540 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9471 2023/02/03 05:55:41 - mmengine - INFO - Epoch(train) [235][ 740/1879] lr: 2.3191e-03 eta: 5:49:22 time: 0.5132 data_time: 0.0296 memory: 18104 grad_norm: 7.1591 loss: 2.3069 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3155 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 0.9914 2023/02/03 05:55:51 - mmengine - INFO - Epoch(train) [235][ 760/1879] lr: 2.3169e-03 eta: 5:49:11 time: 0.5024 data_time: 0.0363 memory: 18104 grad_norm: 7.1381 loss: 2.0327 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0886 top1_acc_1: 0.7059 top5_acc_1: 0.9647 loss_cls_1: 0.9441 2023/02/03 05:56:02 - mmengine - INFO - Epoch(train) [235][ 780/1879] lr: 2.3146e-03 eta: 5:49:01 time: 0.5178 data_time: 0.0317 memory: 18104 grad_norm: 7.1698 loss: 2.0206 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.0412 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9793 2023/02/03 05:56:12 - mmengine - INFO - Epoch(train) [235][ 800/1879] lr: 2.3123e-03 eta: 5:48:51 time: 0.4990 data_time: 0.0369 memory: 18104 grad_norm: 7.1114 loss: 2.1578 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1350 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 1.0228 2023/02/03 05:56:22 - mmengine - INFO - Epoch(train) [235][ 820/1879] lr: 2.3101e-03 eta: 5:48:40 time: 0.5147 data_time: 0.0299 memory: 18104 grad_norm: 7.1061 loss: 2.3004 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.3081 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9923 2023/02/03 05:56:32 - mmengine - INFO - Epoch(train) [235][ 840/1879] lr: 2.3078e-03 eta: 5:48:30 time: 0.5006 data_time: 0.0427 memory: 18104 grad_norm: 7.1366 loss: 2.2497 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3907 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 0.8590 2023/02/03 05:56:42 - mmengine - INFO - Epoch(train) [235][ 860/1879] lr: 2.3055e-03 eta: 5:48:19 time: 0.4927 data_time: 0.0306 memory: 18104 grad_norm: 7.1110 loss: 2.3042 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3077 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 0.9966 2023/02/03 05:56:52 - mmengine - INFO - Epoch(train) [235][ 880/1879] lr: 2.3033e-03 eta: 5:48:09 time: 0.5018 data_time: 0.0367 memory: 18104 grad_norm: 7.2224 loss: 2.2184 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.2030 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 1.0154 2023/02/03 05:57:02 - mmengine - INFO - Epoch(train) [235][ 900/1879] lr: 2.3010e-03 eta: 5:47:58 time: 0.5034 data_time: 0.0296 memory: 18104 grad_norm: 7.3440 loss: 2.3496 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.3487 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 1.0009 2023/02/03 05:57:12 - mmengine - INFO - Epoch(train) [235][ 920/1879] lr: 2.2988e-03 eta: 5:47:48 time: 0.4988 data_time: 0.0387 memory: 18104 grad_norm: 6.9738 loss: 2.0136 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0038 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0098 2023/02/03 05:57:22 - mmengine - INFO - Epoch(train) [235][ 940/1879] lr: 2.2965e-03 eta: 5:47:38 time: 0.4894 data_time: 0.0304 memory: 18104 grad_norm: 7.1015 loss: 2.2320 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2922 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9398 2023/02/03 05:57:32 - mmengine - INFO - Epoch(train) [235][ 960/1879] lr: 2.2943e-03 eta: 5:47:27 time: 0.5068 data_time: 0.0388 memory: 18104 grad_norm: 7.1996 loss: 2.2155 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3309 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.8846 2023/02/03 05:57:43 - mmengine - INFO - Epoch(train) [235][ 980/1879] lr: 2.2920e-03 eta: 5:47:17 time: 0.5158 data_time: 0.0359 memory: 18104 grad_norm: 7.3625 loss: 2.4625 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4738 top1_acc_1: 0.8824 top5_acc_1: 0.9529 loss_cls_1: 0.9887 2023/02/03 05:57:53 - mmengine - INFO - Epoch(train) [235][1000/1879] lr: 2.2897e-03 eta: 5:47:06 time: 0.4994 data_time: 0.0386 memory: 18104 grad_norm: 7.2002 loss: 2.0934 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.0737 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.0197 2023/02/03 05:58:03 - mmengine - INFO - Epoch(train) [235][1020/1879] lr: 2.2875e-03 eta: 5:46:56 time: 0.5146 data_time: 0.0310 memory: 18104 grad_norm: 7.1816 loss: 2.4855 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.4507 top1_acc_1: 0.7176 top5_acc_1: 0.9529 loss_cls_1: 1.0348 2023/02/03 05:58:13 - mmengine - INFO - Epoch(train) [235][1040/1879] lr: 2.2852e-03 eta: 5:46:46 time: 0.5173 data_time: 0.0421 memory: 18104 grad_norm: 6.9892 loss: 2.2016 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.2265 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9751 2023/02/03 05:58:23 - mmengine - INFO - Epoch(train) [235][1060/1879] lr: 2.2830e-03 eta: 5:46:35 time: 0.4997 data_time: 0.0299 memory: 18104 grad_norm: 7.1580 loss: 2.3895 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.3944 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9951 2023/02/03 05:58:33 - mmengine - INFO - Epoch(train) [235][1080/1879] lr: 2.2807e-03 eta: 5:46:25 time: 0.4941 data_time: 0.0394 memory: 18104 grad_norm: 7.0110 loss: 2.2534 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.3125 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9409 2023/02/03 05:58:44 - mmengine - INFO - Epoch(train) [235][1100/1879] lr: 2.2785e-03 eta: 5:46:15 time: 0.5219 data_time: 0.0290 memory: 18104 grad_norm: 7.1264 loss: 2.2090 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2275 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.9815 2023/02/03 05:58:54 - mmengine - INFO - Epoch(train) [235][1120/1879] lr: 2.2762e-03 eta: 5:46:04 time: 0.4968 data_time: 0.0390 memory: 18104 grad_norm: 7.1917 loss: 2.3094 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.3423 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9671 2023/02/03 05:59:04 - mmengine - INFO - Epoch(train) [235][1140/1879] lr: 2.2740e-03 eta: 5:45:54 time: 0.4980 data_time: 0.0300 memory: 18104 grad_norm: 7.2598 loss: 2.2878 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3180 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.9699 2023/02/03 05:59:14 - mmengine - INFO - Epoch(train) [235][1160/1879] lr: 2.2718e-03 eta: 5:45:43 time: 0.5020 data_time: 0.0402 memory: 18104 grad_norm: 7.2063 loss: 2.3418 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.3777 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9641 2023/02/03 05:59:24 - mmengine - INFO - Epoch(train) [235][1180/1879] lr: 2.2695e-03 eta: 5:45:33 time: 0.5134 data_time: 0.0302 memory: 18104 grad_norm: 7.2310 loss: 2.3264 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3229 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0035 2023/02/03 05:59:34 - mmengine - INFO - Epoch(train) [235][1200/1879] lr: 2.2673e-03 eta: 5:45:22 time: 0.4985 data_time: 0.0366 memory: 18104 grad_norm: 7.2348 loss: 2.2410 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2018 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 1.0392 2023/02/03 05:59:44 - mmengine - INFO - Epoch(train) [235][1220/1879] lr: 2.2650e-03 eta: 5:45:12 time: 0.5036 data_time: 0.0308 memory: 18104 grad_norm: 7.3338 loss: 2.1899 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.2466 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9433 2023/02/03 05:59:54 - mmengine - INFO - Epoch(train) [235][1240/1879] lr: 2.2628e-03 eta: 5:45:02 time: 0.5069 data_time: 0.0402 memory: 18104 grad_norm: 6.9966 loss: 2.2229 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2431 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.9798 2023/02/03 06:00:04 - mmengine - INFO - Epoch(train) [235][1260/1879] lr: 2.2605e-03 eta: 5:44:51 time: 0.5058 data_time: 0.0283 memory: 18104 grad_norm: 7.0640 loss: 2.1266 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1475 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 0.9791 2023/02/03 06:00:14 - mmengine - INFO - Epoch(train) [235][1280/1879] lr: 2.2583e-03 eta: 5:44:41 time: 0.4958 data_time: 0.0385 memory: 18104 grad_norm: 7.3238 loss: 2.1767 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.2676 top1_acc_1: 0.7059 top5_acc_1: 0.9412 loss_cls_1: 0.9091 2023/02/03 06:00:24 - mmengine - INFO - Epoch(train) [235][1300/1879] lr: 2.2561e-03 eta: 5:44:30 time: 0.5064 data_time: 0.0289 memory: 18104 grad_norm: 7.2545 loss: 2.2127 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2867 top1_acc_1: 0.6706 top5_acc_1: 0.8471 loss_cls_1: 0.9260 2023/02/03 06:00:31 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 06:00:34 - mmengine - INFO - Epoch(train) [235][1320/1879] lr: 2.2538e-03 eta: 5:44:20 time: 0.4925 data_time: 0.0386 memory: 18104 grad_norm: 7.1578 loss: 2.2538 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.3206 top1_acc_1: 0.8353 top5_acc_1: 0.9647 loss_cls_1: 0.9331 2023/02/03 06:00:44 - mmengine - INFO - Epoch(train) [235][1340/1879] lr: 2.2516e-03 eta: 5:44:09 time: 0.5022 data_time: 0.0293 memory: 18104 grad_norm: 7.1322 loss: 2.1448 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1747 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 0.9701 2023/02/03 06:00:55 - mmengine - INFO - Epoch(train) [235][1360/1879] lr: 2.2494e-03 eta: 5:43:59 time: 0.5147 data_time: 0.0461 memory: 18104 grad_norm: 7.1474 loss: 2.1916 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1930 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 0.9985 2023/02/03 06:01:05 - mmengine - INFO - Epoch(train) [235][1380/1879] lr: 2.2471e-03 eta: 5:43:49 time: 0.5029 data_time: 0.0312 memory: 18104 grad_norm: 7.2563 loss: 2.1909 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2359 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9550 2023/02/03 06:01:15 - mmengine - INFO - Epoch(train) [235][1400/1879] lr: 2.2449e-03 eta: 5:43:38 time: 0.5114 data_time: 0.0355 memory: 18104 grad_norm: 7.2890 loss: 2.2080 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.2575 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 0.9505 2023/02/03 06:01:25 - mmengine - INFO - Epoch(train) [235][1420/1879] lr: 2.2427e-03 eta: 5:43:28 time: 0.5219 data_time: 0.0318 memory: 18104 grad_norm: 7.0791 loss: 2.1134 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1033 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 1.0101 2023/02/03 06:01:36 - mmengine - INFO - Epoch(train) [235][1440/1879] lr: 2.2404e-03 eta: 5:43:18 time: 0.5123 data_time: 0.0379 memory: 18104 grad_norm: 7.2160 loss: 2.1542 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1939 top1_acc_1: 0.8471 top5_acc_1: 0.9412 loss_cls_1: 0.9604 2023/02/03 06:01:46 - mmengine - INFO - Epoch(train) [235][1460/1879] lr: 2.2382e-03 eta: 5:43:07 time: 0.5060 data_time: 0.0314 memory: 18104 grad_norm: 6.9891 loss: 2.2299 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.2064 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.0235 2023/02/03 06:01:56 - mmengine - INFO - Epoch(train) [235][1480/1879] lr: 2.2360e-03 eta: 5:42:57 time: 0.5238 data_time: 0.0444 memory: 18104 grad_norm: 7.0689 loss: 2.0475 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1237 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 0.9238 2023/02/03 06:02:07 - mmengine - INFO - Epoch(train) [235][1500/1879] lr: 2.2338e-03 eta: 5:42:47 time: 0.5111 data_time: 0.0323 memory: 18104 grad_norm: 7.2200 loss: 2.5296 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.5543 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 0.9753 2023/02/03 06:02:17 - mmengine - INFO - Epoch(train) [235][1520/1879] lr: 2.2315e-03 eta: 5:42:36 time: 0.5095 data_time: 0.0351 memory: 18104 grad_norm: 7.1872 loss: 2.1906 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2576 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.9331 2023/02/03 06:02:27 - mmengine - INFO - Epoch(train) [235][1540/1879] lr: 2.2293e-03 eta: 5:42:26 time: 0.5058 data_time: 0.0296 memory: 18104 grad_norm: 7.4475 loss: 2.3152 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3743 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9409 2023/02/03 06:02:38 - mmengine - INFO - Epoch(train) [235][1560/1879] lr: 2.2271e-03 eta: 5:42:16 time: 0.5375 data_time: 0.0444 memory: 18104 grad_norm: 7.1510 loss: 2.0661 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1637 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9023 2023/02/03 06:02:48 - mmengine - INFO - Epoch(train) [235][1580/1879] lr: 2.2249e-03 eta: 5:42:05 time: 0.5031 data_time: 0.0298 memory: 18104 grad_norm: 7.3327 loss: 2.2027 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2482 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 0.9545 2023/02/03 06:02:58 - mmengine - INFO - Epoch(train) [235][1600/1879] lr: 2.2226e-03 eta: 5:41:55 time: 0.5028 data_time: 0.0402 memory: 18104 grad_norm: 7.3471 loss: 2.2940 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3657 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9283 2023/02/03 06:03:09 - mmengine - INFO - Epoch(train) [235][1620/1879] lr: 2.2204e-03 eta: 5:41:45 time: 0.5397 data_time: 0.0382 memory: 18104 grad_norm: 7.3831 loss: 2.4636 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.4383 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.0252 2023/02/03 06:03:19 - mmengine - INFO - Epoch(train) [235][1640/1879] lr: 2.2182e-03 eta: 5:41:34 time: 0.5074 data_time: 0.0375 memory: 18104 grad_norm: 7.2158 loss: 2.1257 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.1921 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.9335 2023/02/03 06:03:29 - mmengine - INFO - Epoch(train) [235][1660/1879] lr: 2.2160e-03 eta: 5:41:24 time: 0.5094 data_time: 0.0295 memory: 18104 grad_norm: 7.2831 loss: 2.3583 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.3633 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 0.9949 2023/02/03 06:03:40 - mmengine - INFO - Epoch(train) [235][1680/1879] lr: 2.2138e-03 eta: 5:41:14 time: 0.5185 data_time: 0.0445 memory: 18104 grad_norm: 7.2589 loss: 2.2899 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3192 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 0.9707 2023/02/03 06:03:50 - mmengine - INFO - Epoch(train) [235][1700/1879] lr: 2.2116e-03 eta: 5:41:03 time: 0.5237 data_time: 0.0324 memory: 18104 grad_norm: 7.3012 loss: 2.3298 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3181 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 1.0117 2023/02/03 06:04:00 - mmengine - INFO - Epoch(train) [235][1720/1879] lr: 2.2093e-03 eta: 5:40:53 time: 0.5185 data_time: 0.0387 memory: 18104 grad_norm: 7.4480 loss: 2.2165 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.2746 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 0.9419 2023/02/03 06:04:11 - mmengine - INFO - Epoch(train) [235][1740/1879] lr: 2.2071e-03 eta: 5:40:43 time: 0.5026 data_time: 0.0276 memory: 18104 grad_norm: 7.2418 loss: 2.2443 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2985 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9458 2023/02/03 06:04:21 - mmengine - INFO - Epoch(train) [235][1760/1879] lr: 2.2049e-03 eta: 5:40:32 time: 0.5297 data_time: 0.0480 memory: 18104 grad_norm: 7.2305 loss: 2.2442 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.2724 top1_acc_1: 0.8706 top5_acc_1: 0.9412 loss_cls_1: 0.9718 2023/02/03 06:04:31 - mmengine - INFO - Epoch(train) [235][1780/1879] lr: 2.2027e-03 eta: 5:40:22 time: 0.5090 data_time: 0.0305 memory: 18104 grad_norm: 6.9801 loss: 2.1920 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.2188 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9732 2023/02/03 06:04:41 - mmengine - INFO - Epoch(train) [235][1800/1879] lr: 2.2005e-03 eta: 5:40:12 time: 0.5016 data_time: 0.0377 memory: 18104 grad_norm: 7.1946 loss: 2.2061 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2310 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9751 2023/02/03 06:04:52 - mmengine - INFO - Epoch(train) [235][1820/1879] lr: 2.1983e-03 eta: 5:40:01 time: 0.5156 data_time: 0.0401 memory: 18104 grad_norm: 7.1931 loss: 2.2756 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.3137 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 0.9619 2023/02/03 06:05:02 - mmengine - INFO - Epoch(train) [235][1840/1879] lr: 2.1961e-03 eta: 5:39:51 time: 0.5246 data_time: 0.0372 memory: 18104 grad_norm: 7.1471 loss: 2.1505 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1486 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0019 2023/02/03 06:05:13 - mmengine - INFO - Epoch(train) [235][1860/1879] lr: 2.1939e-03 eta: 5:39:41 time: 0.5137 data_time: 0.0292 memory: 18104 grad_norm: 7.3284 loss: 2.3920 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.3947 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9972 2023/02/03 06:05:22 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 06:05:22 - mmengine - INFO - Epoch(train) [235][1879/1879] lr: 2.1918e-03 eta: 5:39:31 time: 0.4902 data_time: 0.0362 memory: 18104 grad_norm: 7.6148 loss: 2.2001 top1_acc_0: 0.7143 top5_acc_0: 0.7143 loss_cls_0: 1.2434 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.9567 2023/02/03 06:05:37 - mmengine - INFO - Epoch(train) [236][ 20/1879] lr: 2.1896e-03 eta: 5:39:22 time: 0.7160 data_time: 0.2649 memory: 18104 grad_norm: 7.1342 loss: 2.3256 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.4333 top1_acc_1: 0.7529 top5_acc_1: 0.8353 loss_cls_1: 0.8923 2023/02/03 06:05:47 - mmengine - INFO - Epoch(train) [236][ 40/1879] lr: 2.1874e-03 eta: 5:39:11 time: 0.4820 data_time: 0.0335 memory: 18104 grad_norm: 7.3703 loss: 2.1585 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.2642 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 0.8943 2023/02/03 06:05:56 - mmengine - INFO - Epoch(train) [236][ 60/1879] lr: 2.1852e-03 eta: 5:39:01 time: 0.4937 data_time: 0.0370 memory: 18104 grad_norm: 7.1796 loss: 2.0699 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1474 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9225 2023/02/03 06:06:07 - mmengine - INFO - Epoch(train) [236][ 80/1879] lr: 2.1830e-03 eta: 5:38:50 time: 0.5065 data_time: 0.0337 memory: 18104 grad_norm: 7.3430 loss: 2.2782 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.3408 top1_acc_1: 0.7529 top5_acc_1: 0.9647 loss_cls_1: 0.9374 2023/02/03 06:06:16 - mmengine - INFO - Epoch(train) [236][ 100/1879] lr: 2.1808e-03 eta: 5:38:40 time: 0.4890 data_time: 0.0356 memory: 18104 grad_norm: 7.2339 loss: 2.1892 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2226 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 0.9665 2023/02/03 06:06:26 - mmengine - INFO - Epoch(train) [236][ 120/1879] lr: 2.1786e-03 eta: 5:38:29 time: 0.4792 data_time: 0.0331 memory: 18104 grad_norm: 7.2934 loss: 2.3290 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.3935 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 0.9355 2023/02/03 06:06:36 - mmengine - INFO - Epoch(train) [236][ 140/1879] lr: 2.1764e-03 eta: 5:38:19 time: 0.5147 data_time: 0.0393 memory: 18104 grad_norm: 7.1574 loss: 2.2468 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.2834 top1_acc_1: 0.8588 top5_acc_1: 0.9294 loss_cls_1: 0.9634 2023/02/03 06:06:46 - mmengine - INFO - Epoch(train) [236][ 160/1879] lr: 2.1742e-03 eta: 5:38:08 time: 0.4840 data_time: 0.0333 memory: 18104 grad_norm: 7.2520 loss: 2.1027 top1_acc_0: 0.5625 top5_acc_0: 0.5625 loss_cls_0: 1.1405 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.9622 2023/02/03 06:06:56 - mmengine - INFO - Epoch(train) [236][ 180/1879] lr: 2.1720e-03 eta: 5:37:58 time: 0.4857 data_time: 0.0353 memory: 18104 grad_norm: 7.0672 loss: 2.2159 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2496 top1_acc_1: 0.7294 top5_acc_1: 0.9529 loss_cls_1: 0.9663 2023/02/03 06:07:05 - mmengine - INFO - Epoch(train) [236][ 200/1879] lr: 2.1698e-03 eta: 5:37:47 time: 0.4841 data_time: 0.0335 memory: 18104 grad_norm: 7.2750 loss: 2.2716 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3141 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.9575 2023/02/03 06:07:16 - mmengine - INFO - Epoch(train) [236][ 220/1879] lr: 2.1676e-03 eta: 5:37:37 time: 0.5127 data_time: 0.0414 memory: 18104 grad_norm: 7.2499 loss: 2.1515 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2524 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 0.8991 2023/02/03 06:07:25 - mmengine - INFO - Epoch(train) [236][ 240/1879] lr: 2.1654e-03 eta: 5:37:26 time: 0.4805 data_time: 0.0329 memory: 18104 grad_norm: 7.1899 loss: 2.1267 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1595 top1_acc_1: 0.7765 top5_acc_1: 0.9647 loss_cls_1: 0.9672 2023/02/03 06:07:35 - mmengine - INFO - Epoch(train) [236][ 260/1879] lr: 2.1632e-03 eta: 5:37:16 time: 0.4929 data_time: 0.0358 memory: 18104 grad_norm: 7.2783 loss: 2.4307 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3841 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 1.0466 2023/02/03 06:07:45 - mmengine - INFO - Epoch(train) [236][ 280/1879] lr: 2.1610e-03 eta: 5:37:05 time: 0.4920 data_time: 0.0357 memory: 18104 grad_norm: 7.2221 loss: 2.3701 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3926 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9774 2023/02/03 06:07:55 - mmengine - INFO - Epoch(train) [236][ 300/1879] lr: 2.1588e-03 eta: 5:36:55 time: 0.5021 data_time: 0.0354 memory: 18104 grad_norm: 7.1020 loss: 2.2538 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2736 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 0.9802 2023/02/03 06:08:05 - mmengine - INFO - Epoch(train) [236][ 320/1879] lr: 2.1566e-03 eta: 5:36:44 time: 0.4784 data_time: 0.0344 memory: 18104 grad_norm: 7.2662 loss: 2.2868 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.4174 top1_acc_1: 0.8471 top5_acc_1: 0.9882 loss_cls_1: 0.8694 2023/02/03 06:08:15 - mmengine - INFO - Epoch(train) [236][ 340/1879] lr: 2.1544e-03 eta: 5:36:34 time: 0.4905 data_time: 0.0348 memory: 18104 grad_norm: 7.3825 loss: 2.2903 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.3074 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 0.9829 2023/02/03 06:08:25 - mmengine - INFO - Epoch(train) [236][ 360/1879] lr: 2.1523e-03 eta: 5:36:23 time: 0.4925 data_time: 0.0346 memory: 18104 grad_norm: 7.4121 loss: 2.3666 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.4203 top1_acc_1: 0.7882 top5_acc_1: 0.8824 loss_cls_1: 0.9463 2023/02/03 06:08:35 - mmengine - INFO - Epoch(train) [236][ 380/1879] lr: 2.1501e-03 eta: 5:36:13 time: 0.5148 data_time: 0.0436 memory: 18104 grad_norm: 7.2052 loss: 2.2018 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.2555 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.9463 2023/02/03 06:08:45 - mmengine - INFO - Epoch(train) [236][ 400/1879] lr: 2.1479e-03 eta: 5:36:03 time: 0.4980 data_time: 0.0345 memory: 18104 grad_norm: 7.1666 loss: 2.3333 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.3382 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.9952 2023/02/03 06:08:55 - mmengine - INFO - Epoch(train) [236][ 420/1879] lr: 2.1457e-03 eta: 5:35:52 time: 0.5138 data_time: 0.0345 memory: 18104 grad_norm: 7.3615 loss: 2.4089 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4210 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9879 2023/02/03 06:09:03 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 06:09:05 - mmengine - INFO - Epoch(train) [236][ 440/1879] lr: 2.1435e-03 eta: 5:35:42 time: 0.5006 data_time: 0.0333 memory: 18104 grad_norm: 7.1362 loss: 2.1929 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2751 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 0.9178 2023/02/03 06:09:15 - mmengine - INFO - Epoch(train) [236][ 460/1879] lr: 2.1413e-03 eta: 5:35:31 time: 0.5009 data_time: 0.0425 memory: 18104 grad_norm: 7.2430 loss: 2.2876 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.3463 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.9413 2023/02/03 06:09:25 - mmengine - INFO - Epoch(train) [236][ 480/1879] lr: 2.1392e-03 eta: 5:35:21 time: 0.4992 data_time: 0.0310 memory: 18104 grad_norm: 7.3601 loss: 2.2108 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2812 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 0.9296 2023/02/03 06:09:35 - mmengine - INFO - Epoch(train) [236][ 500/1879] lr: 2.1370e-03 eta: 5:35:11 time: 0.5042 data_time: 0.0343 memory: 18104 grad_norm: 7.1650 loss: 2.1109 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1503 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 0.9606 2023/02/03 06:09:45 - mmengine - INFO - Epoch(train) [236][ 520/1879] lr: 2.1348e-03 eta: 5:35:00 time: 0.5025 data_time: 0.0330 memory: 18104 grad_norm: 7.1481 loss: 2.2813 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2804 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 1.0008 2023/02/03 06:09:55 - mmengine - INFO - Epoch(train) [236][ 540/1879] lr: 2.1326e-03 eta: 5:34:50 time: 0.5023 data_time: 0.0415 memory: 18104 grad_norm: 7.1888 loss: 2.1321 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.1388 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 0.9933 2023/02/03 06:10:06 - mmengine - INFO - Epoch(train) [236][ 560/1879] lr: 2.1304e-03 eta: 5:34:39 time: 0.5100 data_time: 0.0336 memory: 18104 grad_norm: 7.1362 loss: 2.0707 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1448 top1_acc_1: 0.8471 top5_acc_1: 0.9647 loss_cls_1: 0.9259 2023/02/03 06:10:16 - mmengine - INFO - Epoch(train) [236][ 580/1879] lr: 2.1283e-03 eta: 5:34:29 time: 0.5148 data_time: 0.0340 memory: 18104 grad_norm: 7.1203 loss: 2.1482 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.1782 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.9700 2023/02/03 06:10:26 - mmengine - INFO - Epoch(train) [236][ 600/1879] lr: 2.1261e-03 eta: 5:34:19 time: 0.5039 data_time: 0.0399 memory: 18104 grad_norm: 7.0505 loss: 2.2039 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.3159 top1_acc_1: 0.6588 top5_acc_1: 0.8706 loss_cls_1: 0.8880 2023/02/03 06:10:37 - mmengine - INFO - Epoch(train) [236][ 620/1879] lr: 2.1239e-03 eta: 5:34:08 time: 0.5192 data_time: 0.0358 memory: 18104 grad_norm: 7.2406 loss: 2.2794 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3332 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9461 2023/02/03 06:10:47 - mmengine - INFO - Epoch(train) [236][ 640/1879] lr: 2.1218e-03 eta: 5:33:58 time: 0.5185 data_time: 0.0342 memory: 18104 grad_norm: 7.1891 loss: 2.1200 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2243 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 0.8957 2023/02/03 06:10:57 - mmengine - INFO - Epoch(train) [236][ 660/1879] lr: 2.1196e-03 eta: 5:33:48 time: 0.5068 data_time: 0.0368 memory: 18104 grad_norm: 7.2460 loss: 2.3462 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.3655 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.9807 2023/02/03 06:11:07 - mmengine - INFO - Epoch(train) [236][ 680/1879] lr: 2.1174e-03 eta: 5:33:37 time: 0.5188 data_time: 0.0398 memory: 18104 grad_norm: 7.3436 loss: 2.3655 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3535 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.0120 2023/02/03 06:11:18 - mmengine - INFO - Epoch(train) [236][ 700/1879] lr: 2.1152e-03 eta: 5:33:27 time: 0.5155 data_time: 0.0342 memory: 18104 grad_norm: 7.0909 loss: 2.1905 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2636 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9269 2023/02/03 06:11:28 - mmengine - INFO - Epoch(train) [236][ 720/1879] lr: 2.1131e-03 eta: 5:33:17 time: 0.5181 data_time: 0.0329 memory: 18104 grad_norm: 7.3338 loss: 2.2994 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.2393 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0601 2023/02/03 06:11:38 - mmengine - INFO - Epoch(train) [236][ 740/1879] lr: 2.1109e-03 eta: 5:33:06 time: 0.5064 data_time: 0.0332 memory: 18104 grad_norm: 7.4796 loss: 2.1317 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1490 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 0.9827 2023/02/03 06:11:49 - mmengine - INFO - Epoch(train) [236][ 760/1879] lr: 2.1088e-03 eta: 5:32:56 time: 0.5243 data_time: 0.0326 memory: 18104 grad_norm: 7.1157 loss: 2.1232 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.2646 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 0.8586 2023/02/03 06:11:59 - mmengine - INFO - Epoch(train) [236][ 780/1879] lr: 2.1066e-03 eta: 5:32:46 time: 0.5209 data_time: 0.0352 memory: 18104 grad_norm: 7.1534 loss: 2.0142 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1749 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 0.8393 2023/02/03 06:12:10 - mmengine - INFO - Epoch(train) [236][ 800/1879] lr: 2.1044e-03 eta: 5:32:35 time: 0.5128 data_time: 0.0340 memory: 18104 grad_norm: 7.2268 loss: 2.2862 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2963 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9899 2023/02/03 06:12:20 - mmengine - INFO - Epoch(train) [236][ 820/1879] lr: 2.1023e-03 eta: 5:32:25 time: 0.5050 data_time: 0.0349 memory: 18104 grad_norm: 7.1476 loss: 2.0625 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.1036 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.9589 2023/02/03 06:12:30 - mmengine - INFO - Epoch(train) [236][ 840/1879] lr: 2.1001e-03 eta: 5:32:15 time: 0.5220 data_time: 0.0391 memory: 18104 grad_norm: 7.0468 loss: 2.1247 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1918 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.9330 2023/02/03 06:12:40 - mmengine - INFO - Epoch(train) [236][ 860/1879] lr: 2.0979e-03 eta: 5:32:04 time: 0.5055 data_time: 0.0376 memory: 18104 grad_norm: 7.1210 loss: 2.1932 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.1954 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 0.9978 2023/02/03 06:12:50 - mmengine - INFO - Epoch(train) [236][ 880/1879] lr: 2.0958e-03 eta: 5:31:54 time: 0.5047 data_time: 0.0328 memory: 18104 grad_norm: 7.3699 loss: 2.1323 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1838 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.9485 2023/02/03 06:13:01 - mmengine - INFO - Epoch(train) [236][ 900/1879] lr: 2.0936e-03 eta: 5:31:44 time: 0.5236 data_time: 0.0407 memory: 18104 grad_norm: 7.3472 loss: 2.2695 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2569 top1_acc_1: 0.8471 top5_acc_1: 0.9176 loss_cls_1: 1.0126 2023/02/03 06:13:11 - mmengine - INFO - Epoch(train) [236][ 920/1879] lr: 2.0915e-03 eta: 5:31:33 time: 0.5030 data_time: 0.0329 memory: 18104 grad_norm: 7.4107 loss: 2.3315 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3321 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9994 2023/02/03 06:13:21 - mmengine - INFO - Epoch(train) [236][ 940/1879] lr: 2.0893e-03 eta: 5:31:23 time: 0.5036 data_time: 0.0353 memory: 18104 grad_norm: 7.2508 loss: 2.1422 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 1.2170 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.9252 2023/02/03 06:13:32 - mmengine - INFO - Epoch(train) [236][ 960/1879] lr: 2.0872e-03 eta: 5:31:13 time: 0.5216 data_time: 0.0367 memory: 18104 grad_norm: 7.1912 loss: 2.1455 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2401 top1_acc_1: 0.8471 top5_acc_1: 0.9647 loss_cls_1: 0.9054 2023/02/03 06:13:42 - mmengine - INFO - Epoch(train) [236][ 980/1879] lr: 2.0850e-03 eta: 5:31:02 time: 0.5162 data_time: 0.0370 memory: 18104 grad_norm: 7.1077 loss: 2.2714 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2956 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 0.9758 2023/02/03 06:13:52 - mmengine - INFO - Epoch(train) [236][1000/1879] lr: 2.0829e-03 eta: 5:30:52 time: 0.5028 data_time: 0.0400 memory: 18104 grad_norm: 7.2826 loss: 2.2609 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.2630 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9979 2023/02/03 06:14:02 - mmengine - INFO - Epoch(train) [236][1020/1879] lr: 2.0807e-03 eta: 5:30:41 time: 0.5123 data_time: 0.0326 memory: 18104 grad_norm: 7.0338 loss: 2.1028 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1026 top1_acc_1: 0.7412 top5_acc_1: 0.8353 loss_cls_1: 1.0002 2023/02/03 06:14:13 - mmengine - INFO - Epoch(train) [236][1040/1879] lr: 2.0786e-03 eta: 5:30:31 time: 0.5225 data_time: 0.0369 memory: 18104 grad_norm: 7.1822 loss: 2.2870 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3072 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.9798 2023/02/03 06:14:23 - mmengine - INFO - Epoch(train) [236][1060/1879] lr: 2.0764e-03 eta: 5:30:21 time: 0.5016 data_time: 0.0317 memory: 18104 grad_norm: 7.0482 loss: 2.1590 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1521 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0069 2023/02/03 06:14:33 - mmengine - INFO - Epoch(train) [236][1080/1879] lr: 2.0743e-03 eta: 5:30:10 time: 0.5162 data_time: 0.0390 memory: 18104 grad_norm: 7.3978 loss: 2.1460 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.2348 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9112 2023/02/03 06:14:44 - mmengine - INFO - Epoch(train) [236][1100/1879] lr: 2.0721e-03 eta: 5:30:00 time: 0.5251 data_time: 0.0304 memory: 18104 grad_norm: 7.1623 loss: 2.4178 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.4393 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9785 2023/02/03 06:14:54 - mmengine - INFO - Epoch(train) [236][1120/1879] lr: 2.0700e-03 eta: 5:29:50 time: 0.5128 data_time: 0.0338 memory: 18104 grad_norm: 7.4902 loss: 2.2391 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2749 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.9642 2023/02/03 06:15:04 - mmengine - INFO - Epoch(train) [236][1140/1879] lr: 2.0678e-03 eta: 5:29:40 time: 0.5203 data_time: 0.0367 memory: 18104 grad_norm: 7.2747 loss: 2.2957 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2635 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 1.0322 2023/02/03 06:15:15 - mmengine - INFO - Epoch(train) [236][1160/1879] lr: 2.0657e-03 eta: 5:29:29 time: 0.5302 data_time: 0.0354 memory: 18104 grad_norm: 7.0706 loss: 2.0735 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.1123 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9612 2023/02/03 06:15:25 - mmengine - INFO - Epoch(train) [236][1180/1879] lr: 2.0635e-03 eta: 5:29:19 time: 0.5208 data_time: 0.0355 memory: 18104 grad_norm: 7.1732 loss: 2.2670 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3227 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 0.9443 2023/02/03 06:15:36 - mmengine - INFO - Epoch(train) [236][1200/1879] lr: 2.0614e-03 eta: 5:29:09 time: 0.5058 data_time: 0.0330 memory: 18104 grad_norm: 7.1855 loss: 2.0299 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0797 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 0.9502 2023/02/03 06:15:46 - mmengine - INFO - Epoch(train) [236][1220/1879] lr: 2.0593e-03 eta: 5:28:58 time: 0.5407 data_time: 0.0335 memory: 18104 grad_norm: 7.2665 loss: 2.3624 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.3207 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.0417 2023/02/03 06:15:57 - mmengine - INFO - Epoch(train) [236][1240/1879] lr: 2.0571e-03 eta: 5:28:48 time: 0.5235 data_time: 0.0400 memory: 18104 grad_norm: 7.1794 loss: 2.2304 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.2212 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.0092 2023/02/03 06:16:07 - mmengine - INFO - Epoch(train) [236][1260/1879] lr: 2.0550e-03 eta: 5:28:38 time: 0.5178 data_time: 0.0338 memory: 18104 grad_norm: 7.2591 loss: 2.2679 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.2566 top1_acc_1: 0.7647 top5_acc_1: 0.8588 loss_cls_1: 1.0113 2023/02/03 06:16:18 - mmengine - INFO - Epoch(train) [236][1280/1879] lr: 2.0529e-03 eta: 5:28:28 time: 0.5207 data_time: 0.0330 memory: 18104 grad_norm: 7.1775 loss: 1.9963 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.0442 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.9521 2023/02/03 06:16:28 - mmengine - INFO - Epoch(train) [236][1300/1879] lr: 2.0507e-03 eta: 5:28:17 time: 0.5223 data_time: 0.0328 memory: 18104 grad_norm: 7.2970 loss: 2.3184 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3425 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9759 2023/02/03 06:16:38 - mmengine - INFO - Epoch(train) [236][1320/1879] lr: 2.0486e-03 eta: 5:28:07 time: 0.5043 data_time: 0.0332 memory: 18104 grad_norm: 7.3767 loss: 2.2411 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2785 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.9626 2023/02/03 06:16:49 - mmengine - INFO - Epoch(train) [236][1340/1879] lr: 2.0464e-03 eta: 5:27:57 time: 0.5202 data_time: 0.0333 memory: 18104 grad_norm: 7.4111 loss: 2.2808 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3075 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9733 2023/02/03 06:16:59 - mmengine - INFO - Epoch(train) [236][1360/1879] lr: 2.0443e-03 eta: 5:27:46 time: 0.5248 data_time: 0.0328 memory: 18104 grad_norm: 7.1662 loss: 2.2498 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2356 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 1.0142 2023/02/03 06:17:10 - mmengine - INFO - Epoch(train) [236][1380/1879] lr: 2.0422e-03 eta: 5:27:36 time: 0.5201 data_time: 0.0407 memory: 18104 grad_norm: 7.2286 loss: 1.9919 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.0372 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 0.9547 2023/02/03 06:17:20 - mmengine - INFO - Epoch(train) [236][1400/1879] lr: 2.0401e-03 eta: 5:27:26 time: 0.5122 data_time: 0.0359 memory: 18104 grad_norm: 7.2006 loss: 2.1568 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.2017 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 0.9551 2023/02/03 06:17:31 - mmengine - INFO - Epoch(train) [236][1420/1879] lr: 2.0379e-03 eta: 5:27:15 time: 0.5300 data_time: 0.0341 memory: 18104 grad_norm: 7.2527 loss: 2.1357 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1444 top1_acc_1: 0.7882 top5_acc_1: 0.8706 loss_cls_1: 0.9913 2023/02/03 06:17:38 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 06:17:41 - mmengine - INFO - Epoch(train) [236][1440/1879] lr: 2.0358e-03 eta: 5:27:05 time: 0.5174 data_time: 0.0395 memory: 18104 grad_norm: 7.1977 loss: 2.0960 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.1876 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9084 2023/02/03 06:17:51 - mmengine - INFO - Epoch(train) [236][1460/1879] lr: 2.0337e-03 eta: 5:26:55 time: 0.5125 data_time: 0.0327 memory: 18104 grad_norm: 7.3252 loss: 2.2590 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.2851 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9739 2023/02/03 06:18:02 - mmengine - INFO - Epoch(train) [236][1480/1879] lr: 2.0315e-03 eta: 5:26:44 time: 0.5224 data_time: 0.0329 memory: 18104 grad_norm: 7.3030 loss: 2.0999 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1234 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.9765 2023/02/03 06:18:12 - mmengine - INFO - Epoch(train) [236][1500/1879] lr: 2.0294e-03 eta: 5:26:34 time: 0.5333 data_time: 0.0319 memory: 18104 grad_norm: 7.0865 loss: 2.1356 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1686 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9670 2023/02/03 06:18:23 - mmengine - INFO - Epoch(train) [236][1520/1879] lr: 2.0273e-03 eta: 5:26:24 time: 0.5159 data_time: 0.0411 memory: 18104 grad_norm: 7.1870 loss: 2.2576 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3486 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9091 2023/02/03 06:18:33 - mmengine - INFO - Epoch(train) [236][1540/1879] lr: 2.0252e-03 eta: 5:26:14 time: 0.5202 data_time: 0.0343 memory: 18104 grad_norm: 7.1688 loss: 2.1181 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.0977 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.0204 2023/02/03 06:18:44 - mmengine - INFO - Epoch(train) [236][1560/1879] lr: 2.0231e-03 eta: 5:26:03 time: 0.5354 data_time: 0.0336 memory: 18104 grad_norm: 7.3242 loss: 2.2756 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.2487 top1_acc_1: 0.6471 top5_acc_1: 0.8941 loss_cls_1: 1.0268 2023/02/03 06:18:54 - mmengine - INFO - Epoch(train) [236][1580/1879] lr: 2.0209e-03 eta: 5:25:53 time: 0.5169 data_time: 0.0337 memory: 18104 grad_norm: 7.0411 loss: 2.0970 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1347 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.9622 2023/02/03 06:19:05 - mmengine - INFO - Epoch(train) [236][1600/1879] lr: 2.0188e-03 eta: 5:25:43 time: 0.5262 data_time: 0.0339 memory: 18104 grad_norm: 7.1562 loss: 2.0624 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1719 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 0.8905 2023/02/03 06:19:16 - mmengine - INFO - Epoch(train) [236][1620/1879] lr: 2.0167e-03 eta: 5:25:33 time: 0.5501 data_time: 0.0316 memory: 18104 grad_norm: 7.2462 loss: 2.1034 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2094 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.8940 2023/02/03 06:19:27 - mmengine - INFO - Epoch(train) [236][1640/1879] lr: 2.0146e-03 eta: 5:25:23 time: 0.5370 data_time: 0.0408 memory: 18104 grad_norm: 7.2154 loss: 2.1763 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2434 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9328 2023/02/03 06:19:37 - mmengine - INFO - Epoch(train) [236][1660/1879] lr: 2.0125e-03 eta: 5:25:12 time: 0.5416 data_time: 0.0337 memory: 18104 grad_norm: 7.4244 loss: 2.3675 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3719 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9956 2023/02/03 06:19:48 - mmengine - INFO - Epoch(train) [236][1680/1879] lr: 2.0104e-03 eta: 5:25:02 time: 0.5418 data_time: 0.0330 memory: 18104 grad_norm: 7.2697 loss: 2.1610 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1189 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.0421 2023/02/03 06:19:59 - mmengine - INFO - Epoch(train) [236][1700/1879] lr: 2.0082e-03 eta: 5:24:52 time: 0.5484 data_time: 0.0323 memory: 18104 grad_norm: 7.2722 loss: 2.1515 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1996 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 0.9518 2023/02/03 06:20:10 - mmengine - INFO - Epoch(train) [236][1720/1879] lr: 2.0061e-03 eta: 5:24:42 time: 0.5280 data_time: 0.0328 memory: 18104 grad_norm: 7.4121 loss: 2.1417 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1219 top1_acc_1: 0.7765 top5_acc_1: 0.8471 loss_cls_1: 1.0198 2023/02/03 06:20:21 - mmengine - INFO - Epoch(train) [236][1740/1879] lr: 2.0040e-03 eta: 5:24:32 time: 0.5469 data_time: 0.0336 memory: 18104 grad_norm: 7.2520 loss: 2.2188 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2258 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 0.9930 2023/02/03 06:20:32 - mmengine - INFO - Epoch(train) [236][1760/1879] lr: 2.0019e-03 eta: 5:24:22 time: 0.5487 data_time: 0.0330 memory: 18104 grad_norm: 7.3001 loss: 2.4016 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 1.3675 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 1.0341 2023/02/03 06:20:43 - mmengine - INFO - Epoch(train) [236][1780/1879] lr: 1.9998e-03 eta: 5:24:11 time: 0.5346 data_time: 0.0399 memory: 18104 grad_norm: 7.2483 loss: 2.2083 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1998 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.0085 2023/02/03 06:20:53 - mmengine - INFO - Epoch(train) [236][1800/1879] lr: 1.9977e-03 eta: 5:24:01 time: 0.5282 data_time: 0.0336 memory: 18104 grad_norm: 7.4581 loss: 2.1774 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2295 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.9479 2023/02/03 06:21:04 - mmengine - INFO - Epoch(train) [236][1820/1879] lr: 1.9956e-03 eta: 5:23:51 time: 0.5466 data_time: 0.0323 memory: 18104 grad_norm: 7.3564 loss: 2.2845 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.3012 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.9833 2023/02/03 06:21:14 - mmengine - INFO - Epoch(train) [236][1840/1879] lr: 1.9935e-03 eta: 5:23:41 time: 0.5182 data_time: 0.0387 memory: 18104 grad_norm: 7.4073 loss: 2.3593 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.4115 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 0.9478 2023/02/03 06:21:25 - mmengine - INFO - Epoch(train) [236][1860/1879] lr: 1.9914e-03 eta: 5:23:30 time: 0.5259 data_time: 0.0333 memory: 18104 grad_norm: 7.2303 loss: 2.2128 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.2330 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 0.9798 2023/02/03 06:21:35 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 06:21:35 - mmengine - INFO - Epoch(train) [236][1879/1879] lr: 1.9894e-03 eta: 5:23:21 time: 0.5123 data_time: 0.0299 memory: 18104 grad_norm: 7.4260 loss: 2.0939 top1_acc_0: 0.5714 top5_acc_0: 0.7143 loss_cls_0: 1.1774 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 0.9165 2023/02/03 06:21:35 - mmengine - INFO - Saving checkpoint at 236 epochs 2023/02/03 06:21:46 - mmengine - INFO - Epoch(val) [236][ 20/155] eta: 0:01:01 time: 0.4558 data_time: 0.3431 memory: 1900 2023/02/03 06:21:55 - mmengine - INFO - Epoch(val) [236][ 40/155] eta: 0:00:52 time: 0.4520 data_time: 0.3406 memory: 1900 2023/02/03 06:22:04 - mmengine - INFO - Epoch(val) [236][ 60/155] eta: 0:00:42 time: 0.4301 data_time: 0.3191 memory: 1900 2023/02/03 06:22:13 - mmengine - INFO - Epoch(val) [236][ 80/155] eta: 0:00:33 time: 0.4602 data_time: 0.3411 memory: 1900 2023/02/03 06:22:22 - mmengine - INFO - Epoch(val) [236][100/155] eta: 0:00:24 time: 0.4556 data_time: 0.3441 memory: 1900 2023/02/03 06:22:31 - mmengine - INFO - Epoch(val) [236][120/155] eta: 0:00:15 time: 0.4443 data_time: 0.3329 memory: 1900 2023/02/03 06:22:40 - mmengine - INFO - Epoch(val) [236][140/155] eta: 0:00:06 time: 0.4363 data_time: 0.3251 memory: 1900 2023/02/03 06:22:47 - mmengine - INFO - Epoch(val) [236][155/155] acc/top1: 0.6986 acc/top5: 0.8855 acc/mean1: 0.6985 2023/02/03 06:22:47 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_232.pth is removed 2023/02/03 06:22:49 - mmengine - INFO - The best checkpoint with 0.6986 acc/top1 at 236 epoch is saved to best_acc/top1_epoch_236.pth. 2023/02/03 06:23:03 - mmengine - INFO - Epoch(train) [237][ 20/1879] lr: 1.9873e-03 eta: 5:23:11 time: 0.6916 data_time: 0.2332 memory: 18104 grad_norm: 7.1794 loss: 2.2338 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.2434 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.9904 2023/02/03 06:23:13 - mmengine - INFO - Epoch(train) [237][ 40/1879] lr: 1.9852e-03 eta: 5:23:01 time: 0.4803 data_time: 0.0329 memory: 18104 grad_norm: 7.1849 loss: 2.2277 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.2726 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9551 2023/02/03 06:23:23 - mmengine - INFO - Epoch(train) [237][ 60/1879] lr: 1.9831e-03 eta: 5:22:50 time: 0.5203 data_time: 0.0381 memory: 18104 grad_norm: 7.2151 loss: 2.0592 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0851 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9741 2023/02/03 06:23:34 - mmengine - INFO - Epoch(train) [237][ 80/1879] lr: 1.9810e-03 eta: 5:22:40 time: 0.5155 data_time: 0.0327 memory: 18104 grad_norm: 7.2525 loss: 2.4350 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.4434 top1_acc_1: 0.8000 top5_acc_1: 0.8941 loss_cls_1: 0.9916 2023/02/03 06:23:44 - mmengine - INFO - Epoch(train) [237][ 100/1879] lr: 1.9789e-03 eta: 5:22:30 time: 0.5007 data_time: 0.0384 memory: 18104 grad_norm: 7.2939 loss: 2.0754 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1497 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9258 2023/02/03 06:23:54 - mmengine - INFO - Epoch(train) [237][ 120/1879] lr: 1.9768e-03 eta: 5:22:19 time: 0.4856 data_time: 0.0329 memory: 18104 grad_norm: 7.3572 loss: 2.2934 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3163 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9771 2023/02/03 06:24:04 - mmengine - INFO - Epoch(train) [237][ 140/1879] lr: 1.9747e-03 eta: 5:22:09 time: 0.5388 data_time: 0.0468 memory: 18104 grad_norm: 7.1304 loss: 2.2499 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2960 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9539 2023/02/03 06:24:14 - mmengine - INFO - Epoch(train) [237][ 160/1879] lr: 1.9726e-03 eta: 5:21:59 time: 0.4944 data_time: 0.0312 memory: 18104 grad_norm: 7.3655 loss: 2.2271 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2590 top1_acc_1: 0.8235 top5_acc_1: 0.9647 loss_cls_1: 0.9681 2023/02/03 06:24:24 - mmengine - INFO - Epoch(train) [237][ 180/1879] lr: 1.9705e-03 eta: 5:21:48 time: 0.5102 data_time: 0.0375 memory: 18104 grad_norm: 7.2439 loss: 2.0760 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1411 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.9348 2023/02/03 06:24:35 - mmengine - INFO - Epoch(train) [237][ 200/1879] lr: 1.9684e-03 eta: 5:21:38 time: 0.5160 data_time: 0.0324 memory: 18104 grad_norm: 7.2404 loss: 2.3103 top1_acc_0: 0.5000 top5_acc_0: 0.5000 loss_cls_0: 1.3562 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 0.9541 2023/02/03 06:24:45 - mmengine - INFO - Epoch(train) [237][ 220/1879] lr: 1.9663e-03 eta: 5:21:28 time: 0.5160 data_time: 0.0463 memory: 18104 grad_norm: 7.2384 loss: 2.1555 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2080 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.9475 2023/02/03 06:24:55 - mmengine - INFO - Epoch(train) [237][ 240/1879] lr: 1.9642e-03 eta: 5:21:17 time: 0.4934 data_time: 0.0313 memory: 18104 grad_norm: 7.2273 loss: 2.0481 top1_acc_0: 0.5000 top5_acc_0: 0.9375 loss_cls_0: 1.0947 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9534 2023/02/03 06:25:06 - mmengine - INFO - Epoch(train) [237][ 260/1879] lr: 1.9621e-03 eta: 5:21:07 time: 0.5220 data_time: 0.0387 memory: 18104 grad_norm: 6.9702 loss: 2.2127 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2238 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.9889 2023/02/03 06:25:16 - mmengine - INFO - Epoch(train) [237][ 280/1879] lr: 1.9600e-03 eta: 5:20:56 time: 0.5108 data_time: 0.0301 memory: 18104 grad_norm: 7.0339 loss: 2.1066 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.1884 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9182 2023/02/03 06:25:26 - mmengine - INFO - Epoch(train) [237][ 300/1879] lr: 1.9579e-03 eta: 5:20:46 time: 0.5133 data_time: 0.0390 memory: 18104 grad_norm: 7.0768 loss: 2.1423 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1811 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 0.9612 2023/02/03 06:25:36 - mmengine - INFO - Epoch(train) [237][ 320/1879] lr: 1.9559e-03 eta: 5:20:36 time: 0.4827 data_time: 0.0306 memory: 18104 grad_norm: 7.4079 loss: 2.2302 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2642 top1_acc_1: 0.8471 top5_acc_1: 0.9412 loss_cls_1: 0.9660 2023/02/03 06:25:46 - mmengine - INFO - Epoch(train) [237][ 340/1879] lr: 1.9538e-03 eta: 5:20:25 time: 0.5308 data_time: 0.0393 memory: 18104 grad_norm: 7.2030 loss: 2.1128 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.1424 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 0.9704 2023/02/03 06:25:56 - mmengine - INFO - Epoch(train) [237][ 360/1879] lr: 1.9517e-03 eta: 5:20:15 time: 0.4944 data_time: 0.0338 memory: 18104 grad_norm: 7.3299 loss: 2.0551 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.0848 top1_acc_1: 0.8118 top5_acc_1: 0.9647 loss_cls_1: 0.9703 2023/02/03 06:26:07 - mmengine - INFO - Epoch(train) [237][ 380/1879] lr: 1.9496e-03 eta: 5:20:05 time: 0.5191 data_time: 0.0402 memory: 18104 grad_norm: 7.2835 loss: 2.1825 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1516 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 1.0309 2023/02/03 06:26:17 - mmengine - INFO - Epoch(train) [237][ 400/1879] lr: 1.9475e-03 eta: 5:19:54 time: 0.5106 data_time: 0.0295 memory: 18104 grad_norm: 7.2871 loss: 2.4179 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3729 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0450 2023/02/03 06:26:27 - mmengine - INFO - Epoch(train) [237][ 420/1879] lr: 1.9454e-03 eta: 5:19:44 time: 0.5177 data_time: 0.0382 memory: 18104 grad_norm: 7.2634 loss: 2.3232 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.3649 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 0.9583 2023/02/03 06:26:37 - mmengine - INFO - Epoch(train) [237][ 440/1879] lr: 1.9434e-03 eta: 5:19:33 time: 0.4914 data_time: 0.0317 memory: 18104 grad_norm: 7.5297 loss: 2.2009 top1_acc_0: 0.5625 top5_acc_0: 1.0000 loss_cls_0: 1.2709 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 0.9300 2023/02/03 06:26:48 - mmengine - INFO - Epoch(train) [237][ 460/1879] lr: 1.9413e-03 eta: 5:19:23 time: 0.5350 data_time: 0.0417 memory: 18104 grad_norm: 7.3242 loss: 2.0587 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.0535 top1_acc_1: 0.7647 top5_acc_1: 0.8706 loss_cls_1: 1.0052 2023/02/03 06:26:58 - mmengine - INFO - Epoch(train) [237][ 480/1879] lr: 1.9392e-03 eta: 5:19:13 time: 0.4892 data_time: 0.0308 memory: 18104 grad_norm: 7.2469 loss: 2.1372 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.2373 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.8999 2023/02/03 06:27:08 - mmengine - INFO - Epoch(train) [237][ 500/1879] lr: 1.9371e-03 eta: 5:19:02 time: 0.5196 data_time: 0.0496 memory: 18104 grad_norm: 7.2057 loss: 2.0838 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0430 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 1.0408 2023/02/03 06:27:18 - mmengine - INFO - Epoch(train) [237][ 520/1879] lr: 1.9351e-03 eta: 5:18:52 time: 0.5051 data_time: 0.0307 memory: 18104 grad_norm: 7.3066 loss: 2.0514 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.1095 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 0.9419 2023/02/03 06:27:29 - mmengine - INFO - Epoch(train) [237][ 540/1879] lr: 1.9330e-03 eta: 5:18:42 time: 0.5288 data_time: 0.0386 memory: 18104 grad_norm: 7.4770 loss: 2.1494 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.2128 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9366 2023/02/03 06:27:37 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 06:27:39 - mmengine - INFO - Epoch(train) [237][ 560/1879] lr: 1.9309e-03 eta: 5:18:31 time: 0.5067 data_time: 0.0390 memory: 18104 grad_norm: 7.4196 loss: 2.2096 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.2225 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9871 2023/02/03 06:27:49 - mmengine - INFO - Epoch(train) [237][ 580/1879] lr: 1.9288e-03 eta: 5:18:21 time: 0.5179 data_time: 0.0370 memory: 18104 grad_norm: 7.4203 loss: 2.1780 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.2248 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9532 2023/02/03 06:28:00 - mmengine - INFO - Epoch(train) [237][ 600/1879] lr: 1.9268e-03 eta: 5:18:11 time: 0.5153 data_time: 0.0312 memory: 18104 grad_norm: 7.4151 loss: 2.2124 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.2254 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 0.9870 2023/02/03 06:28:10 - mmengine - INFO - Epoch(train) [237][ 620/1879] lr: 1.9247e-03 eta: 5:18:00 time: 0.5216 data_time: 0.0387 memory: 18104 grad_norm: 7.3547 loss: 2.4238 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.4146 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 1.0091 2023/02/03 06:28:21 - mmengine - INFO - Epoch(train) [237][ 640/1879] lr: 1.9226e-03 eta: 5:17:50 time: 0.5156 data_time: 0.0306 memory: 18104 grad_norm: 7.2999 loss: 2.2265 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3076 top1_acc_1: 0.7176 top5_acc_1: 0.9765 loss_cls_1: 0.9190 2023/02/03 06:28:31 - mmengine - INFO - Epoch(train) [237][ 660/1879] lr: 1.9206e-03 eta: 5:17:40 time: 0.5310 data_time: 0.0364 memory: 18104 grad_norm: 7.1357 loss: 2.2359 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1917 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 1.0442 2023/02/03 06:28:42 - mmengine - INFO - Epoch(train) [237][ 680/1879] lr: 1.9185e-03 eta: 5:17:30 time: 0.5140 data_time: 0.0305 memory: 18104 grad_norm: 7.3877 loss: 2.1183 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.0946 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.0237 2023/02/03 06:28:52 - mmengine - INFO - Epoch(train) [237][ 700/1879] lr: 1.9164e-03 eta: 5:17:19 time: 0.5248 data_time: 0.0488 memory: 18104 grad_norm: 7.2149 loss: 2.2622 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.3187 top1_acc_1: 0.8235 top5_acc_1: 0.9882 loss_cls_1: 0.9435 2023/02/03 06:29:02 - mmengine - INFO - Epoch(train) [237][ 720/1879] lr: 1.9144e-03 eta: 5:17:09 time: 0.5056 data_time: 0.0313 memory: 18104 grad_norm: 7.2934 loss: 2.2612 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2816 top1_acc_1: 0.8118 top5_acc_1: 1.0000 loss_cls_1: 0.9796 2023/02/03 06:29:13 - mmengine - INFO - Epoch(train) [237][ 740/1879] lr: 1.9123e-03 eta: 5:16:59 time: 0.5192 data_time: 0.0388 memory: 18104 grad_norm: 7.3159 loss: 2.1556 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2031 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 0.9526 2023/02/03 06:29:23 - mmengine - INFO - Epoch(train) [237][ 760/1879] lr: 1.9102e-03 eta: 5:16:48 time: 0.5028 data_time: 0.0303 memory: 18104 grad_norm: 7.1506 loss: 2.3302 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.3877 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9425 2023/02/03 06:29:34 - mmengine - INFO - Epoch(train) [237][ 780/1879] lr: 1.9082e-03 eta: 5:16:38 time: 0.5398 data_time: 0.0481 memory: 18104 grad_norm: 7.3998 loss: 2.2393 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3091 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 0.9302 2023/02/03 06:29:44 - mmengine - INFO - Epoch(train) [237][ 800/1879] lr: 1.9061e-03 eta: 5:16:28 time: 0.5264 data_time: 0.0317 memory: 18104 grad_norm: 7.5189 loss: 2.2145 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3624 top1_acc_1: 0.8588 top5_acc_1: 0.9529 loss_cls_1: 0.8521 2023/02/03 06:29:55 - mmengine - INFO - Epoch(train) [237][ 820/1879] lr: 1.9041e-03 eta: 5:16:17 time: 0.5228 data_time: 0.0414 memory: 18104 grad_norm: 7.2831 loss: 2.1554 top1_acc_0: 0.4375 top5_acc_0: 0.5625 loss_cls_0: 1.2085 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9469 2023/02/03 06:30:05 - mmengine - INFO - Epoch(train) [237][ 840/1879] lr: 1.9020e-03 eta: 5:16:07 time: 0.5241 data_time: 0.0395 memory: 18104 grad_norm: 7.2745 loss: 2.2413 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.2113 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 1.0300 2023/02/03 06:30:16 - mmengine - INFO - Epoch(train) [237][ 860/1879] lr: 1.8999e-03 eta: 5:15:57 time: 0.5231 data_time: 0.0399 memory: 18104 grad_norm: 7.0732 loss: 1.9989 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0374 top1_acc_1: 0.8471 top5_acc_1: 0.9647 loss_cls_1: 0.9615 2023/02/03 06:30:26 - mmengine - INFO - Epoch(train) [237][ 880/1879] lr: 1.8979e-03 eta: 5:15:47 time: 0.5319 data_time: 0.0297 memory: 18104 grad_norm: 7.2385 loss: 2.2193 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.3168 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9025 2023/02/03 06:30:37 - mmengine - INFO - Epoch(train) [237][ 900/1879] lr: 1.8958e-03 eta: 5:15:36 time: 0.5229 data_time: 0.0479 memory: 18104 grad_norm: 7.3250 loss: 2.3260 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.3447 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9812 2023/02/03 06:30:47 - mmengine - INFO - Epoch(train) [237][ 920/1879] lr: 1.8938e-03 eta: 5:15:26 time: 0.5283 data_time: 0.0312 memory: 18104 grad_norm: 7.2038 loss: 2.3080 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3785 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9295 2023/02/03 06:30:58 - mmengine - INFO - Epoch(train) [237][ 940/1879] lr: 1.8917e-03 eta: 5:15:16 time: 0.5288 data_time: 0.0373 memory: 18104 grad_norm: 7.1719 loss: 2.1783 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.2106 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 0.9677 2023/02/03 06:31:08 - mmengine - INFO - Epoch(train) [237][ 960/1879] lr: 1.8897e-03 eta: 5:15:06 time: 0.5186 data_time: 0.0303 memory: 18104 grad_norm: 7.3328 loss: 2.1432 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1523 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.9909 2023/02/03 06:31:19 - mmengine - INFO - Epoch(train) [237][ 980/1879] lr: 1.8876e-03 eta: 5:14:55 time: 0.5347 data_time: 0.0470 memory: 18104 grad_norm: 7.1596 loss: 2.3186 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3114 top1_acc_1: 0.6824 top5_acc_1: 0.8471 loss_cls_1: 1.0072 2023/02/03 06:31:30 - mmengine - INFO - Epoch(train) [237][1000/1879] lr: 1.8856e-03 eta: 5:14:45 time: 0.5245 data_time: 0.0307 memory: 18104 grad_norm: 7.5344 loss: 2.3066 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3784 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.9282 2023/02/03 06:31:40 - mmengine - INFO - Epoch(train) [237][1020/1879] lr: 1.8835e-03 eta: 5:14:35 time: 0.5273 data_time: 0.0382 memory: 18104 grad_norm: 7.3453 loss: 2.3003 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.3730 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.9273 2023/02/03 06:31:51 - mmengine - INFO - Epoch(train) [237][1040/1879] lr: 1.8815e-03 eta: 5:14:25 time: 0.5294 data_time: 0.0392 memory: 18104 grad_norm: 7.5706 loss: 2.4259 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.4380 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 0.9880 2023/02/03 06:32:01 - mmengine - INFO - Epoch(train) [237][1060/1879] lr: 1.8794e-03 eta: 5:14:14 time: 0.5331 data_time: 0.0380 memory: 18104 grad_norm: 7.4828 loss: 2.3119 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.2993 top1_acc_1: 0.6471 top5_acc_1: 0.8588 loss_cls_1: 1.0126 2023/02/03 06:32:12 - mmengine - INFO - Epoch(train) [237][1080/1879] lr: 1.8774e-03 eta: 5:14:04 time: 0.5191 data_time: 0.0290 memory: 18104 grad_norm: 7.2831 loss: 2.1592 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1878 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9715 2023/02/03 06:32:22 - mmengine - INFO - Epoch(train) [237][1100/1879] lr: 1.8753e-03 eta: 5:13:54 time: 0.5269 data_time: 0.0377 memory: 18104 grad_norm: 7.3308 loss: 2.1076 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1537 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9539 2023/02/03 06:32:33 - mmengine - INFO - Epoch(train) [237][1120/1879] lr: 1.8733e-03 eta: 5:13:43 time: 0.5143 data_time: 0.0298 memory: 18104 grad_norm: 7.5478 loss: 2.1712 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.2409 top1_acc_1: 0.8118 top5_acc_1: 0.8941 loss_cls_1: 0.9303 2023/02/03 06:32:43 - mmengine - INFO - Epoch(train) [237][1140/1879] lr: 1.8713e-03 eta: 5:13:33 time: 0.5264 data_time: 0.0373 memory: 18104 grad_norm: 7.2271 loss: 2.2390 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3063 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9328 2023/02/03 06:32:53 - mmengine - INFO - Epoch(train) [237][1160/1879] lr: 1.8692e-03 eta: 5:13:23 time: 0.5024 data_time: 0.0304 memory: 18104 grad_norm: 7.3918 loss: 2.2595 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2567 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 1.0028 2023/02/03 06:33:04 - mmengine - INFO - Epoch(train) [237][1180/1879] lr: 1.8672e-03 eta: 5:13:12 time: 0.5111 data_time: 0.0452 memory: 18104 grad_norm: 7.4416 loss: 2.0279 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.0544 top1_acc_1: 0.7882 top5_acc_1: 0.8824 loss_cls_1: 0.9735 2023/02/03 06:33:14 - mmengine - INFO - Epoch(train) [237][1200/1879] lr: 1.8651e-03 eta: 5:13:02 time: 0.5135 data_time: 0.0309 memory: 18104 grad_norm: 7.5472 loss: 2.1384 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1009 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0375 2023/02/03 06:33:24 - mmengine - INFO - Epoch(train) [237][1220/1879] lr: 1.8631e-03 eta: 5:12:52 time: 0.5234 data_time: 0.0380 memory: 18104 grad_norm: 7.1715 loss: 2.3572 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3182 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 1.0390 2023/02/03 06:33:35 - mmengine - INFO - Epoch(train) [237][1240/1879] lr: 1.8611e-03 eta: 5:12:41 time: 0.5167 data_time: 0.0313 memory: 18104 grad_norm: 7.1120 loss: 2.0271 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0876 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.9395 2023/02/03 06:33:45 - mmengine - INFO - Epoch(train) [237][1260/1879] lr: 1.8590e-03 eta: 5:12:31 time: 0.5167 data_time: 0.0435 memory: 18104 grad_norm: 7.3665 loss: 2.1360 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.2131 top1_acc_1: 0.7765 top5_acc_1: 0.9647 loss_cls_1: 0.9229 2023/02/03 06:33:55 - mmengine - INFO - Epoch(train) [237][1280/1879] lr: 1.8570e-03 eta: 5:12:21 time: 0.5141 data_time: 0.0291 memory: 18104 grad_norm: 7.3100 loss: 2.2081 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3339 top1_acc_1: 0.8941 top5_acc_1: 0.9882 loss_cls_1: 0.8742 2023/02/03 06:34:06 - mmengine - INFO - Epoch(train) [237][1300/1879] lr: 1.8550e-03 eta: 5:12:10 time: 0.5199 data_time: 0.0375 memory: 18104 grad_norm: 7.2656 loss: 2.2443 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3048 top1_acc_1: 0.6941 top5_acc_1: 0.9412 loss_cls_1: 0.9395 2023/02/03 06:34:16 - mmengine - INFO - Epoch(train) [237][1320/1879] lr: 1.8529e-03 eta: 5:12:00 time: 0.5195 data_time: 0.0373 memory: 18104 grad_norm: 7.1890 loss: 2.1968 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2105 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9864 2023/02/03 06:34:26 - mmengine - INFO - Epoch(train) [237][1340/1879] lr: 1.8509e-03 eta: 5:11:50 time: 0.5106 data_time: 0.0374 memory: 18104 grad_norm: 7.3832 loss: 2.2407 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2116 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 1.0291 2023/02/03 06:34:37 - mmengine - INFO - Epoch(train) [237][1360/1879] lr: 1.8489e-03 eta: 5:11:39 time: 0.5242 data_time: 0.0309 memory: 18104 grad_norm: 7.2180 loss: 2.2624 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.2512 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 1.0112 2023/02/03 06:34:48 - mmengine - INFO - Epoch(train) [237][1380/1879] lr: 1.8468e-03 eta: 5:11:29 time: 0.5318 data_time: 0.0453 memory: 18104 grad_norm: 7.2547 loss: 2.1698 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2023 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 0.9675 2023/02/03 06:34:58 - mmengine - INFO - Epoch(train) [237][1400/1879] lr: 1.8448e-03 eta: 5:11:19 time: 0.5246 data_time: 0.0297 memory: 18104 grad_norm: 7.2697 loss: 2.3123 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.3323 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.9799 2023/02/03 06:35:09 - mmengine - INFO - Epoch(train) [237][1420/1879] lr: 1.8428e-03 eta: 5:11:09 time: 0.5292 data_time: 0.0372 memory: 18104 grad_norm: 7.4292 loss: 2.2271 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2951 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9320 2023/02/03 06:35:19 - mmengine - INFO - Epoch(train) [237][1440/1879] lr: 1.8408e-03 eta: 5:10:58 time: 0.5162 data_time: 0.0304 memory: 18104 grad_norm: 7.3492 loss: 2.1867 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3100 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.8767 2023/02/03 06:35:30 - mmengine - INFO - Epoch(train) [237][1460/1879] lr: 1.8387e-03 eta: 5:10:48 time: 0.5231 data_time: 0.0429 memory: 18104 grad_norm: 7.1246 loss: 2.0511 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1060 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.9450 2023/02/03 06:35:40 - mmengine - INFO - Epoch(train) [237][1480/1879] lr: 1.8367e-03 eta: 5:10:38 time: 0.5160 data_time: 0.0284 memory: 18104 grad_norm: 7.4368 loss: 2.3453 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.2646 top1_acc_1: 0.7412 top5_acc_1: 0.9529 loss_cls_1: 1.0806 2023/02/03 06:35:50 - mmengine - INFO - Epoch(train) [237][1500/1879] lr: 1.8347e-03 eta: 5:10:27 time: 0.5216 data_time: 0.0357 memory: 18104 grad_norm: 7.4575 loss: 2.3400 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3596 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 0.9804 2023/02/03 06:36:01 - mmengine - INFO - Epoch(train) [237][1520/1879] lr: 1.8327e-03 eta: 5:10:17 time: 0.5269 data_time: 0.0364 memory: 18104 grad_norm: 7.4679 loss: 2.3320 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4072 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 0.9248 2023/02/03 06:36:11 - mmengine - INFO - Epoch(train) [237][1540/1879] lr: 1.8307e-03 eta: 5:10:07 time: 0.5154 data_time: 0.0377 memory: 18104 grad_norm: 7.3387 loss: 2.2293 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2428 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9864 2023/02/03 06:36:20 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 06:36:22 - mmengine - INFO - Epoch(train) [237][1560/1879] lr: 1.8286e-03 eta: 5:09:57 time: 0.5467 data_time: 0.0309 memory: 18104 grad_norm: 7.4249 loss: 2.1584 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.2126 top1_acc_1: 0.6706 top5_acc_1: 0.9412 loss_cls_1: 0.9458 2023/02/03 06:36:33 - mmengine - INFO - Epoch(train) [237][1580/1879] lr: 1.8266e-03 eta: 5:09:47 time: 0.5324 data_time: 0.0361 memory: 18104 grad_norm: 7.2170 loss: 2.2589 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.2745 top1_acc_1: 0.6824 top5_acc_1: 0.9529 loss_cls_1: 0.9844 2023/02/03 06:36:43 - mmengine - INFO - Epoch(train) [237][1600/1879] lr: 1.8246e-03 eta: 5:09:36 time: 0.5213 data_time: 0.0299 memory: 18104 grad_norm: 7.2789 loss: 2.2424 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2264 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.0159 2023/02/03 06:36:54 - mmengine - INFO - Epoch(train) [237][1620/1879] lr: 1.8226e-03 eta: 5:09:26 time: 0.5086 data_time: 0.0382 memory: 18104 grad_norm: 7.3135 loss: 2.2402 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.2880 top1_acc_1: 0.6353 top5_acc_1: 0.8706 loss_cls_1: 0.9521 2023/02/03 06:37:04 - mmengine - INFO - Epoch(train) [237][1640/1879] lr: 1.8206e-03 eta: 5:09:16 time: 0.5147 data_time: 0.0312 memory: 18104 grad_norm: 7.3679 loss: 2.3062 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3156 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9906 2023/02/03 06:37:14 - mmengine - INFO - Epoch(train) [237][1660/1879] lr: 1.8186e-03 eta: 5:09:05 time: 0.5273 data_time: 0.0503 memory: 18104 grad_norm: 7.4507 loss: 2.0101 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.0062 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0039 2023/02/03 06:37:25 - mmengine - INFO - Epoch(train) [237][1680/1879] lr: 1.8165e-03 eta: 5:08:55 time: 0.5143 data_time: 0.0292 memory: 18104 grad_norm: 7.3446 loss: 2.5197 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.5372 top1_acc_1: 0.7176 top5_acc_1: 0.9529 loss_cls_1: 0.9825 2023/02/03 06:37:35 - mmengine - INFO - Epoch(train) [237][1700/1879] lr: 1.8145e-03 eta: 5:08:45 time: 0.5290 data_time: 0.0365 memory: 18104 grad_norm: 7.4055 loss: 2.1898 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.2680 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 0.9218 2023/02/03 06:37:46 - mmengine - INFO - Epoch(train) [237][1720/1879] lr: 1.8125e-03 eta: 5:08:34 time: 0.5404 data_time: 0.0365 memory: 18104 grad_norm: 7.5074 loss: 2.3625 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3943 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9683 2023/02/03 06:37:56 - mmengine - INFO - Epoch(train) [237][1740/1879] lr: 1.8105e-03 eta: 5:08:24 time: 0.5105 data_time: 0.0358 memory: 18104 grad_norm: 7.2618 loss: 2.0754 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0767 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 0.9986 2023/02/03 06:38:07 - mmengine - INFO - Epoch(train) [237][1760/1879] lr: 1.8085e-03 eta: 5:08:14 time: 0.5208 data_time: 0.0289 memory: 18104 grad_norm: 7.5249 loss: 2.4083 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3850 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.0232 2023/02/03 06:38:17 - mmengine - INFO - Epoch(train) [237][1780/1879] lr: 1.8065e-03 eta: 5:08:04 time: 0.5244 data_time: 0.0367 memory: 18104 grad_norm: 7.5553 loss: 2.3189 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.3899 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9290 2023/02/03 06:38:28 - mmengine - INFO - Epoch(train) [237][1800/1879] lr: 1.8045e-03 eta: 5:07:53 time: 0.5170 data_time: 0.0283 memory: 18104 grad_norm: 7.4092 loss: 2.3575 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3640 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 0.9935 2023/02/03 06:38:38 - mmengine - INFO - Epoch(train) [237][1820/1879] lr: 1.8025e-03 eta: 5:07:43 time: 0.5228 data_time: 0.0357 memory: 18104 grad_norm: 7.4682 loss: 2.0028 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.0355 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 0.9673 2023/02/03 06:38:49 - mmengine - INFO - Epoch(train) [237][1840/1879] lr: 1.8005e-03 eta: 5:07:33 time: 0.5292 data_time: 0.0283 memory: 18104 grad_norm: 7.3449 loss: 2.2019 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2441 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 0.9578 2023/02/03 06:38:59 - mmengine - INFO - Epoch(train) [237][1860/1879] lr: 1.7985e-03 eta: 5:07:22 time: 0.5264 data_time: 0.0424 memory: 18104 grad_norm: 7.2107 loss: 2.0927 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1363 top1_acc_1: 0.6353 top5_acc_1: 0.8824 loss_cls_1: 0.9564 2023/02/03 06:39:09 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 06:39:09 - mmengine - INFO - Epoch(train) [237][1879/1879] lr: 1.7966e-03 eta: 5:07:13 time: 0.5004 data_time: 0.0271 memory: 18104 grad_norm: 7.6056 loss: 2.1519 top1_acc_0: 0.8571 top5_acc_0: 1.0000 loss_cls_0: 1.2596 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.8922 2023/02/03 06:39:24 - mmengine - INFO - Epoch(train) [238][ 20/1879] lr: 1.7946e-03 eta: 5:07:03 time: 0.7176 data_time: 0.2592 memory: 18104 grad_norm: 7.2084 loss: 2.2851 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.3109 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.9742 2023/02/03 06:39:34 - mmengine - INFO - Epoch(train) [238][ 40/1879] lr: 1.7926e-03 eta: 5:06:53 time: 0.4789 data_time: 0.0340 memory: 18104 grad_norm: 7.2530 loss: 2.2266 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.2861 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.9405 2023/02/03 06:39:43 - mmengine - INFO - Epoch(train) [238][ 60/1879] lr: 1.7906e-03 eta: 5:06:42 time: 0.4901 data_time: 0.0345 memory: 18104 grad_norm: 7.1209 loss: 2.1499 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2333 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.9166 2023/02/03 06:39:54 - mmengine - INFO - Epoch(train) [238][ 80/1879] lr: 1.7886e-03 eta: 5:06:32 time: 0.5290 data_time: 0.0411 memory: 18104 grad_norm: 7.2113 loss: 2.0589 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1640 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 0.8949 2023/02/03 06:40:04 - mmengine - INFO - Epoch(train) [238][ 100/1879] lr: 1.7866e-03 eta: 5:06:22 time: 0.5012 data_time: 0.0350 memory: 18104 grad_norm: 7.3162 loss: 2.2766 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2705 top1_acc_1: 0.7412 top5_acc_1: 0.9529 loss_cls_1: 1.0061 2023/02/03 06:40:14 - mmengine - INFO - Epoch(train) [238][ 120/1879] lr: 1.7846e-03 eta: 5:06:11 time: 0.4929 data_time: 0.0336 memory: 18104 grad_norm: 7.1579 loss: 1.9937 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0860 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9077 2023/02/03 06:40:24 - mmengine - INFO - Epoch(train) [238][ 140/1879] lr: 1.7826e-03 eta: 5:06:01 time: 0.5163 data_time: 0.0336 memory: 18104 grad_norm: 7.2317 loss: 2.2305 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2041 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 1.0264 2023/02/03 06:40:34 - mmengine - INFO - Epoch(train) [238][ 160/1879] lr: 1.7806e-03 eta: 5:05:50 time: 0.5029 data_time: 0.0399 memory: 18104 grad_norm: 7.2854 loss: 2.2223 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.2872 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 0.9351 2023/02/03 06:40:44 - mmengine - INFO - Epoch(train) [238][ 180/1879] lr: 1.7786e-03 eta: 5:05:40 time: 0.4984 data_time: 0.0342 memory: 18104 grad_norm: 7.3091 loss: 2.1848 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1879 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9968 2023/02/03 06:40:54 - mmengine - INFO - Epoch(train) [238][ 200/1879] lr: 1.7766e-03 eta: 5:05:30 time: 0.4947 data_time: 0.0346 memory: 18104 grad_norm: 7.0875 loss: 2.2007 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.2421 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 0.9586 2023/02/03 06:41:05 - mmengine - INFO - Epoch(train) [238][ 220/1879] lr: 1.7746e-03 eta: 5:05:19 time: 0.5095 data_time: 0.0338 memory: 18104 grad_norm: 7.2241 loss: 2.0604 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.0972 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9633 2023/02/03 06:41:15 - mmengine - INFO - Epoch(train) [238][ 240/1879] lr: 1.7727e-03 eta: 5:05:09 time: 0.4995 data_time: 0.0401 memory: 18104 grad_norm: 7.3983 loss: 2.1778 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2142 top1_acc_1: 0.6941 top5_acc_1: 0.8471 loss_cls_1: 0.9637 2023/02/03 06:41:25 - mmengine - INFO - Epoch(train) [238][ 260/1879] lr: 1.7707e-03 eta: 5:04:58 time: 0.4972 data_time: 0.0359 memory: 18104 grad_norm: 7.5377 loss: 2.3310 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3348 top1_acc_1: 0.7412 top5_acc_1: 0.8118 loss_cls_1: 0.9962 2023/02/03 06:41:35 - mmengine - INFO - Epoch(train) [238][ 280/1879] lr: 1.7687e-03 eta: 5:04:48 time: 0.5066 data_time: 0.0364 memory: 18104 grad_norm: 7.3823 loss: 2.0689 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.1364 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.9324 2023/02/03 06:41:45 - mmengine - INFO - Epoch(train) [238][ 300/1879] lr: 1.7667e-03 eta: 5:04:38 time: 0.5147 data_time: 0.0334 memory: 18104 grad_norm: 7.2546 loss: 2.0846 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1754 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9092 2023/02/03 06:41:55 - mmengine - INFO - Epoch(train) [238][ 320/1879] lr: 1.7647e-03 eta: 5:04:27 time: 0.5092 data_time: 0.0416 memory: 18104 grad_norm: 7.2481 loss: 2.0710 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1692 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.9017 2023/02/03 06:42:05 - mmengine - INFO - Epoch(train) [238][ 340/1879] lr: 1.7627e-03 eta: 5:04:17 time: 0.5042 data_time: 0.0349 memory: 18104 grad_norm: 7.0897 loss: 2.0772 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1505 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9267 2023/02/03 06:42:16 - mmengine - INFO - Epoch(train) [238][ 360/1879] lr: 1.7607e-03 eta: 5:04:07 time: 0.5107 data_time: 0.0340 memory: 18104 grad_norm: 7.0792 loss: 2.0873 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1653 top1_acc_1: 0.8471 top5_acc_1: 0.9647 loss_cls_1: 0.9220 2023/02/03 06:42:26 - mmengine - INFO - Epoch(train) [238][ 380/1879] lr: 1.7588e-03 eta: 5:03:56 time: 0.5281 data_time: 0.0342 memory: 18104 grad_norm: 7.1976 loss: 2.0281 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1099 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9182 2023/02/03 06:42:36 - mmengine - INFO - Epoch(train) [238][ 400/1879] lr: 1.7568e-03 eta: 5:03:46 time: 0.5018 data_time: 0.0413 memory: 18104 grad_norm: 7.4124 loss: 2.3430 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.4021 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.9409 2023/02/03 06:42:47 - mmengine - INFO - Epoch(train) [238][ 420/1879] lr: 1.7548e-03 eta: 5:03:36 time: 0.5169 data_time: 0.0349 memory: 18104 grad_norm: 7.2428 loss: 2.2855 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2792 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.0063 2023/02/03 06:42:57 - mmengine - INFO - Epoch(train) [238][ 440/1879] lr: 1.7528e-03 eta: 5:03:25 time: 0.5173 data_time: 0.0332 memory: 18104 grad_norm: 7.3526 loss: 1.9869 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1326 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.8543 2023/02/03 06:43:07 - mmengine - INFO - Epoch(train) [238][ 460/1879] lr: 1.7509e-03 eta: 5:03:15 time: 0.5138 data_time: 0.0325 memory: 18104 grad_norm: 7.3492 loss: 2.1302 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1844 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 0.9459 2023/02/03 06:43:17 - mmengine - INFO - Epoch(train) [238][ 480/1879] lr: 1.7489e-03 eta: 5:03:05 time: 0.5122 data_time: 0.0417 memory: 18104 grad_norm: 7.2394 loss: 2.1447 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1734 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 0.9712 2023/02/03 06:43:28 - mmengine - INFO - Epoch(train) [238][ 500/1879] lr: 1.7469e-03 eta: 5:02:54 time: 0.5056 data_time: 0.0334 memory: 18104 grad_norm: 7.2801 loss: 2.1157 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1981 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 0.9176 2023/02/03 06:43:38 - mmengine - INFO - Epoch(train) [238][ 520/1879] lr: 1.7449e-03 eta: 5:02:44 time: 0.5143 data_time: 0.0341 memory: 18104 grad_norm: 7.2787 loss: 1.9922 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0402 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9520 2023/02/03 06:43:48 - mmengine - INFO - Epoch(train) [238][ 540/1879] lr: 1.7430e-03 eta: 5:02:33 time: 0.5012 data_time: 0.0354 memory: 18104 grad_norm: 7.2935 loss: 2.2181 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.2668 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.9513 2023/02/03 06:43:58 - mmengine - INFO - Epoch(train) [238][ 560/1879] lr: 1.7410e-03 eta: 5:02:23 time: 0.5163 data_time: 0.0406 memory: 18104 grad_norm: 7.3255 loss: 2.1161 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.1778 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9383 2023/02/03 06:44:09 - mmengine - INFO - Epoch(train) [238][ 580/1879] lr: 1.7390e-03 eta: 5:02:13 time: 0.5108 data_time: 0.0334 memory: 18104 grad_norm: 7.2915 loss: 2.2687 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.2872 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.9815 2023/02/03 06:44:19 - mmengine - INFO - Epoch(train) [238][ 600/1879] lr: 1.7371e-03 eta: 5:02:02 time: 0.5035 data_time: 0.0330 memory: 18104 grad_norm: 7.1826 loss: 2.0582 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.1386 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 0.9196 2023/02/03 06:44:29 - mmengine - INFO - Epoch(train) [238][ 620/1879] lr: 1.7351e-03 eta: 5:01:52 time: 0.4995 data_time: 0.0329 memory: 18104 grad_norm: 7.4765 loss: 2.1057 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1539 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 0.9518 2023/02/03 06:44:39 - mmengine - INFO - Epoch(train) [238][ 640/1879] lr: 1.7331e-03 eta: 5:01:42 time: 0.5212 data_time: 0.0401 memory: 18104 grad_norm: 7.4366 loss: 2.0227 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1544 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.8683 2023/02/03 06:44:49 - mmengine - INFO - Epoch(train) [238][ 660/1879] lr: 1.7312e-03 eta: 5:01:31 time: 0.5029 data_time: 0.0354 memory: 18104 grad_norm: 7.2346 loss: 2.2202 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2301 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 0.9901 2023/02/03 06:44:58 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 06:44:59 - mmengine - INFO - Epoch(train) [238][ 680/1879] lr: 1.7292e-03 eta: 5:01:21 time: 0.5070 data_time: 0.0328 memory: 18104 grad_norm: 7.1915 loss: 2.0825 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1302 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.9522 2023/02/03 06:45:10 - mmengine - INFO - Epoch(train) [238][ 700/1879] lr: 1.7272e-03 eta: 5:01:10 time: 0.5055 data_time: 0.0336 memory: 18104 grad_norm: 7.2918 loss: 2.0967 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1680 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9287 2023/02/03 06:45:20 - mmengine - INFO - Epoch(train) [238][ 720/1879] lr: 1.7253e-03 eta: 5:01:00 time: 0.5154 data_time: 0.0343 memory: 18104 grad_norm: 7.2422 loss: 2.2882 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2456 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 1.0426 2023/02/03 06:45:30 - mmengine - INFO - Epoch(train) [238][ 740/1879] lr: 1.7233e-03 eta: 5:00:50 time: 0.4984 data_time: 0.0336 memory: 18104 grad_norm: 7.3762 loss: 2.2202 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.2660 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9543 2023/02/03 06:45:40 - mmengine - INFO - Epoch(train) [238][ 760/1879] lr: 1.7213e-03 eta: 5:00:39 time: 0.5012 data_time: 0.0349 memory: 18104 grad_norm: 7.3144 loss: 2.3226 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3874 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9352 2023/02/03 06:45:50 - mmengine - INFO - Epoch(train) [238][ 780/1879] lr: 1.7194e-03 eta: 5:00:29 time: 0.5102 data_time: 0.0351 memory: 18104 grad_norm: 7.2748 loss: 2.4703 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.5004 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 0.9699 2023/02/03 06:46:00 - mmengine - INFO - Epoch(train) [238][ 800/1879] lr: 1.7174e-03 eta: 5:00:19 time: 0.5095 data_time: 0.0337 memory: 18104 grad_norm: 7.3945 loss: 2.1456 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.1929 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 0.9526 2023/02/03 06:46:10 - mmengine - INFO - Epoch(train) [238][ 820/1879] lr: 1.7155e-03 eta: 5:00:08 time: 0.4995 data_time: 0.0337 memory: 18104 grad_norm: 7.4872 loss: 2.2725 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3191 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 0.9534 2023/02/03 06:46:20 - mmengine - INFO - Epoch(train) [238][ 840/1879] lr: 1.7135e-03 eta: 4:59:58 time: 0.5061 data_time: 0.0351 memory: 18104 grad_norm: 7.5090 loss: 2.1454 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.1605 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.9849 2023/02/03 06:46:31 - mmengine - INFO - Epoch(train) [238][ 860/1879] lr: 1.7116e-03 eta: 4:59:47 time: 0.5048 data_time: 0.0349 memory: 18104 grad_norm: 7.4276 loss: 2.1795 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1573 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.0222 2023/02/03 06:46:41 - mmengine - INFO - Epoch(train) [238][ 880/1879] lr: 1.7096e-03 eta: 4:59:37 time: 0.5028 data_time: 0.0345 memory: 18104 grad_norm: 7.3172 loss: 2.3257 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3486 top1_acc_1: 0.8235 top5_acc_1: 0.9647 loss_cls_1: 0.9771 2023/02/03 06:46:51 - mmengine - INFO - Epoch(train) [238][ 900/1879] lr: 1.7077e-03 eta: 4:59:27 time: 0.5022 data_time: 0.0331 memory: 18104 grad_norm: 7.3701 loss: 1.9714 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.0747 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.8967 2023/02/03 06:47:01 - mmengine - INFO - Epoch(train) [238][ 920/1879] lr: 1.7057e-03 eta: 4:59:16 time: 0.5126 data_time: 0.0353 memory: 18104 grad_norm: 7.3355 loss: 2.0338 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0997 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9341 2023/02/03 06:47:11 - mmengine - INFO - Epoch(train) [238][ 940/1879] lr: 1.7038e-03 eta: 4:59:06 time: 0.5019 data_time: 0.0346 memory: 18104 grad_norm: 7.3344 loss: 2.1932 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2377 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9555 2023/02/03 06:47:21 - mmengine - INFO - Epoch(train) [238][ 960/1879] lr: 1.7018e-03 eta: 4:58:55 time: 0.5017 data_time: 0.0319 memory: 18104 grad_norm: 7.2962 loss: 2.1278 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2007 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 0.9271 2023/02/03 06:47:31 - mmengine - INFO - Epoch(train) [238][ 980/1879] lr: 1.6999e-03 eta: 4:58:45 time: 0.5036 data_time: 0.0359 memory: 18104 grad_norm: 7.5387 loss: 2.2960 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3474 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9486 2023/02/03 06:47:42 - mmengine - INFO - Epoch(train) [238][1000/1879] lr: 1.6979e-03 eta: 4:58:35 time: 0.5166 data_time: 0.0340 memory: 18104 grad_norm: 7.4363 loss: 2.0446 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.1193 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9254 2023/02/03 06:47:51 - mmengine - INFO - Epoch(train) [238][1020/1879] lr: 1.6960e-03 eta: 4:58:24 time: 0.4911 data_time: 0.0356 memory: 18104 grad_norm: 7.2229 loss: 2.1916 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2008 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.9908 2023/02/03 06:48:02 - mmengine - INFO - Epoch(train) [238][1040/1879] lr: 1.6940e-03 eta: 4:58:14 time: 0.5134 data_time: 0.0370 memory: 18104 grad_norm: 7.3030 loss: 2.1092 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1447 top1_acc_1: 0.7765 top5_acc_1: 0.9765 loss_cls_1: 0.9645 2023/02/03 06:48:12 - mmengine - INFO - Epoch(train) [238][1060/1879] lr: 1.6921e-03 eta: 4:58:04 time: 0.5180 data_time: 0.0409 memory: 18104 grad_norm: 7.2785 loss: 2.2288 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2309 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 0.9978 2023/02/03 06:48:22 - mmengine - INFO - Epoch(train) [238][1080/1879] lr: 1.6901e-03 eta: 4:57:53 time: 0.5106 data_time: 0.0354 memory: 18104 grad_norm: 7.6343 loss: 2.2691 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2499 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 1.0192 2023/02/03 06:48:32 - mmengine - INFO - Epoch(train) [238][1100/1879] lr: 1.6882e-03 eta: 4:57:43 time: 0.4999 data_time: 0.0335 memory: 18104 grad_norm: 7.3586 loss: 2.3208 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.3333 top1_acc_1: 0.7765 top5_acc_1: 0.8706 loss_cls_1: 0.9875 2023/02/03 06:48:42 - mmengine - INFO - Epoch(train) [238][1120/1879] lr: 1.6863e-03 eta: 4:57:32 time: 0.4990 data_time: 0.0333 memory: 18104 grad_norm: 7.2726 loss: 2.1040 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1373 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9667 2023/02/03 06:48:53 - mmengine - INFO - Epoch(train) [238][1140/1879] lr: 1.6843e-03 eta: 4:57:22 time: 0.5112 data_time: 0.0411 memory: 18104 grad_norm: 7.4023 loss: 2.0735 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.1339 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9396 2023/02/03 06:49:03 - mmengine - INFO - Epoch(train) [238][1160/1879] lr: 1.6824e-03 eta: 4:57:12 time: 0.5039 data_time: 0.0339 memory: 18104 grad_norm: 7.3846 loss: 2.2916 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.3361 top1_acc_1: 0.7882 top5_acc_1: 0.8824 loss_cls_1: 0.9555 2023/02/03 06:49:13 - mmengine - INFO - Epoch(train) [238][1180/1879] lr: 1.6804e-03 eta: 4:57:01 time: 0.5175 data_time: 0.0350 memory: 18104 grad_norm: 7.1523 loss: 2.2464 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2304 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 1.0161 2023/02/03 06:49:23 - mmengine - INFO - Epoch(train) [238][1200/1879] lr: 1.6785e-03 eta: 4:56:51 time: 0.5098 data_time: 0.0335 memory: 18104 grad_norm: 7.4217 loss: 2.2212 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2892 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9320 2023/02/03 06:49:34 - mmengine - INFO - Epoch(train) [238][1220/1879] lr: 1.6766e-03 eta: 4:56:41 time: 0.5188 data_time: 0.0330 memory: 18104 grad_norm: 7.2763 loss: 2.1744 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1875 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9869 2023/02/03 06:49:45 - mmengine - INFO - Epoch(train) [238][1240/1879] lr: 1.6746e-03 eta: 4:56:30 time: 0.5440 data_time: 0.0328 memory: 18104 grad_norm: 7.2571 loss: 2.0828 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.2035 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.8793 2023/02/03 06:49:55 - mmengine - INFO - Epoch(train) [238][1260/1879] lr: 1.6727e-03 eta: 4:56:20 time: 0.5335 data_time: 0.0316 memory: 18104 grad_norm: 7.1813 loss: 1.9127 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 0.9653 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 0.9475 2023/02/03 06:50:06 - mmengine - INFO - Epoch(train) [238][1280/1879] lr: 1.6708e-03 eta: 4:56:10 time: 0.5288 data_time: 0.0328 memory: 18104 grad_norm: 7.5907 loss: 2.4645 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.4527 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 1.0117 2023/02/03 06:50:16 - mmengine - INFO - Epoch(train) [238][1300/1879] lr: 1.6688e-03 eta: 4:56:00 time: 0.5247 data_time: 0.0418 memory: 18104 grad_norm: 7.2744 loss: 2.2724 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2993 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 0.9731 2023/02/03 06:50:27 - mmengine - INFO - Epoch(train) [238][1320/1879] lr: 1.6669e-03 eta: 4:55:49 time: 0.5313 data_time: 0.0321 memory: 18104 grad_norm: 7.3257 loss: 2.1260 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1367 top1_acc_1: 0.7294 top5_acc_1: 0.8235 loss_cls_1: 0.9893 2023/02/03 06:50:38 - mmengine - INFO - Epoch(train) [238][1340/1879] lr: 1.6650e-03 eta: 4:55:39 time: 0.5232 data_time: 0.0324 memory: 18104 grad_norm: 7.3435 loss: 2.0800 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.1014 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 0.9785 2023/02/03 06:50:48 - mmengine - INFO - Epoch(train) [238][1360/1879] lr: 1.6631e-03 eta: 4:55:29 time: 0.5229 data_time: 0.0325 memory: 18104 grad_norm: 7.3804 loss: 2.1022 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1518 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9504 2023/02/03 06:50:59 - mmengine - INFO - Epoch(train) [238][1380/1879] lr: 1.6611e-03 eta: 4:55:19 time: 0.5391 data_time: 0.0385 memory: 18104 grad_norm: 7.4389 loss: 1.9772 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0496 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.9277 2023/02/03 06:51:09 - mmengine - INFO - Epoch(train) [238][1400/1879] lr: 1.6592e-03 eta: 4:55:08 time: 0.5304 data_time: 0.0329 memory: 18104 grad_norm: 7.4406 loss: 2.3085 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.3654 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.9432 2023/02/03 06:51:20 - mmengine - INFO - Epoch(train) [238][1420/1879] lr: 1.6573e-03 eta: 4:54:58 time: 0.5214 data_time: 0.0361 memory: 18104 grad_norm: 7.2304 loss: 2.2288 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2085 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 1.0203 2023/02/03 06:51:31 - mmengine - INFO - Epoch(train) [238][1440/1879] lr: 1.6554e-03 eta: 4:54:48 time: 0.5333 data_time: 0.0347 memory: 18104 grad_norm: 7.3904 loss: 2.1190 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.1925 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 0.9266 2023/02/03 06:51:41 - mmengine - INFO - Epoch(train) [238][1460/1879] lr: 1.6534e-03 eta: 4:54:38 time: 0.5363 data_time: 0.0399 memory: 18104 grad_norm: 7.1801 loss: 2.0415 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1379 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9035 2023/02/03 06:51:52 - mmengine - INFO - Epoch(train) [238][1480/1879] lr: 1.6515e-03 eta: 4:54:27 time: 0.5344 data_time: 0.0334 memory: 18104 grad_norm: 7.1081 loss: 2.2569 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.2805 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.9764 2023/02/03 06:52:03 - mmengine - INFO - Epoch(train) [238][1500/1879] lr: 1.6496e-03 eta: 4:54:17 time: 0.5254 data_time: 0.0351 memory: 18104 grad_norm: 7.1926 loss: 2.0185 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.1008 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.9177 2023/02/03 06:52:14 - mmengine - INFO - Epoch(train) [238][1520/1879] lr: 1.6477e-03 eta: 4:54:07 time: 0.5497 data_time: 0.0325 memory: 18104 grad_norm: 7.2002 loss: 2.1883 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2050 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 0.9833 2023/02/03 06:52:25 - mmengine - INFO - Epoch(train) [238][1540/1879] lr: 1.6458e-03 eta: 4:53:57 time: 0.5448 data_time: 0.0393 memory: 18104 grad_norm: 7.3336 loss: 2.1039 top1_acc_0: 0.3750 top5_acc_0: 0.6875 loss_cls_0: 1.1932 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 0.9107 2023/02/03 06:52:35 - mmengine - INFO - Epoch(train) [238][1560/1879] lr: 1.6439e-03 eta: 4:53:47 time: 0.5423 data_time: 0.0333 memory: 18104 grad_norm: 7.1096 loss: 2.1432 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1863 top1_acc_1: 0.7647 top5_acc_1: 0.9647 loss_cls_1: 0.9569 2023/02/03 06:52:46 - mmengine - INFO - Epoch(train) [238][1580/1879] lr: 1.6419e-03 eta: 4:53:36 time: 0.5274 data_time: 0.0333 memory: 18104 grad_norm: 7.2988 loss: 2.2565 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2814 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9751 2023/02/03 06:52:57 - mmengine - INFO - Epoch(train) [238][1600/1879] lr: 1.6400e-03 eta: 4:53:26 time: 0.5540 data_time: 0.0328 memory: 18104 grad_norm: 7.4608 loss: 2.1577 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.2202 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 0.9375 2023/02/03 06:53:08 - mmengine - INFO - Epoch(train) [238][1620/1879] lr: 1.6381e-03 eta: 4:53:16 time: 0.5434 data_time: 0.0392 memory: 18104 grad_norm: 7.5953 loss: 2.0856 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1647 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9209 2023/02/03 06:53:19 - mmengine - INFO - Epoch(train) [238][1640/1879] lr: 1.6362e-03 eta: 4:53:06 time: 0.5460 data_time: 0.0333 memory: 18104 grad_norm: 7.4887 loss: 2.1965 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2488 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.9476 2023/02/03 06:53:30 - mmengine - INFO - Epoch(train) [238][1660/1879] lr: 1.6343e-03 eta: 4:52:56 time: 0.5527 data_time: 0.0320 memory: 18104 grad_norm: 7.4705 loss: 2.1105 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2206 top1_acc_1: 0.8118 top5_acc_1: 0.9765 loss_cls_1: 0.8900 2023/02/03 06:53:39 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 06:53:41 - mmengine - INFO - Epoch(train) [238][1680/1879] lr: 1.6324e-03 eta: 4:52:46 time: 0.5536 data_time: 0.0343 memory: 18104 grad_norm: 7.2889 loss: 2.1845 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2583 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9262 2023/02/03 06:53:52 - mmengine - INFO - Epoch(train) [238][1700/1879] lr: 1.6305e-03 eta: 4:52:36 time: 0.5451 data_time: 0.0423 memory: 18104 grad_norm: 7.3328 loss: 2.1235 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.1210 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 1.0025 2023/02/03 06:54:03 - mmengine - INFO - Epoch(train) [238][1720/1879] lr: 1.6286e-03 eta: 4:52:25 time: 0.5334 data_time: 0.0337 memory: 18104 grad_norm: 7.3631 loss: 2.1487 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.1833 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9653 2023/02/03 06:54:14 - mmengine - INFO - Epoch(train) [238][1740/1879] lr: 1.6267e-03 eta: 4:52:15 time: 0.5623 data_time: 0.0328 memory: 18104 grad_norm: 7.5173 loss: 2.0590 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0684 top1_acc_1: 0.7647 top5_acc_1: 0.8706 loss_cls_1: 0.9906 2023/02/03 06:54:25 - mmengine - INFO - Epoch(train) [238][1760/1879] lr: 1.6248e-03 eta: 4:52:05 time: 0.5363 data_time: 0.0343 memory: 18104 grad_norm: 7.2115 loss: 2.0476 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1386 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.9089 2023/02/03 06:54:36 - mmengine - INFO - Epoch(train) [238][1780/1879] lr: 1.6229e-03 eta: 4:51:55 time: 0.5377 data_time: 0.0353 memory: 18104 grad_norm: 7.4451 loss: 2.2714 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2714 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 1.0001 2023/02/03 06:54:47 - mmengine - INFO - Epoch(train) [238][1800/1879] lr: 1.6210e-03 eta: 4:51:45 time: 0.5492 data_time: 0.0321 memory: 18104 grad_norm: 7.4460 loss: 2.3669 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.3429 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.0240 2023/02/03 06:54:57 - mmengine - INFO - Epoch(train) [238][1820/1879] lr: 1.6191e-03 eta: 4:51:34 time: 0.5304 data_time: 0.0365 memory: 18104 grad_norm: 7.4107 loss: 2.0948 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.1404 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 0.9545 2023/02/03 06:55:08 - mmengine - INFO - Epoch(train) [238][1840/1879] lr: 1.6172e-03 eta: 4:51:24 time: 0.5286 data_time: 0.0375 memory: 18104 grad_norm: 7.4019 loss: 2.0435 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1556 top1_acc_1: 0.8471 top5_acc_1: 0.9294 loss_cls_1: 0.8879 2023/02/03 06:55:18 - mmengine - INFO - Epoch(train) [238][1860/1879] lr: 1.6153e-03 eta: 4:51:14 time: 0.5333 data_time: 0.0347 memory: 18104 grad_norm: 7.2930 loss: 2.1240 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.2061 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9179 2023/02/03 06:55:28 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 06:55:28 - mmengine - INFO - Epoch(train) [238][1879/1879] lr: 1.6134e-03 eta: 4:51:04 time: 0.4977 data_time: 0.0316 memory: 18104 grad_norm: 7.4898 loss: 2.2806 top1_acc_0: 0.8571 top5_acc_0: 0.8571 loss_cls_0: 1.2966 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9840 2023/02/03 06:55:43 - mmengine - INFO - Epoch(train) [239][ 20/1879] lr: 1.6116e-03 eta: 4:50:55 time: 0.7298 data_time: 0.2580 memory: 18104 grad_norm: 7.3166 loss: 2.0295 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1105 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.9190 2023/02/03 06:55:53 - mmengine - INFO - Epoch(train) [239][ 40/1879] lr: 1.6097e-03 eta: 4:50:44 time: 0.4861 data_time: 0.0325 memory: 18104 grad_norm: 7.3588 loss: 2.0637 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.1648 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 0.8989 2023/02/03 06:56:03 - mmengine - INFO - Epoch(train) [239][ 60/1879] lr: 1.6078e-03 eta: 4:50:34 time: 0.5169 data_time: 0.0376 memory: 18104 grad_norm: 7.2269 loss: 1.9916 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0193 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9723 2023/02/03 06:56:13 - mmengine - INFO - Epoch(train) [239][ 80/1879] lr: 1.6059e-03 eta: 4:50:24 time: 0.5018 data_time: 0.0418 memory: 18104 grad_norm: 7.2701 loss: 2.3464 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.3745 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9718 2023/02/03 06:56:23 - mmengine - INFO - Epoch(train) [239][ 100/1879] lr: 1.6040e-03 eta: 4:50:13 time: 0.4949 data_time: 0.0398 memory: 18104 grad_norm: 7.2053 loss: 1.9579 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0377 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.9202 2023/02/03 06:56:33 - mmengine - INFO - Epoch(train) [239][ 120/1879] lr: 1.6021e-03 eta: 4:50:03 time: 0.4820 data_time: 0.0366 memory: 18104 grad_norm: 7.2499 loss: 2.0852 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1637 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 0.9215 2023/02/03 06:56:43 - mmengine - INFO - Epoch(train) [239][ 140/1879] lr: 1.6002e-03 eta: 4:49:52 time: 0.5219 data_time: 0.0434 memory: 18104 grad_norm: 7.5441 loss: 2.3356 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3783 top1_acc_1: 0.7647 top5_acc_1: 0.9882 loss_cls_1: 0.9573 2023/02/03 06:56:53 - mmengine - INFO - Epoch(train) [239][ 160/1879] lr: 1.5983e-03 eta: 4:49:42 time: 0.4880 data_time: 0.0330 memory: 18104 grad_norm: 7.1609 loss: 2.1078 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0974 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.0104 2023/02/03 06:57:03 - mmengine - INFO - Epoch(train) [239][ 180/1879] lr: 1.5964e-03 eta: 4:49:31 time: 0.5002 data_time: 0.0365 memory: 18104 grad_norm: 7.1059 loss: 1.8265 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 0.9373 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 0.8892 2023/02/03 06:57:13 - mmengine - INFO - Epoch(train) [239][ 200/1879] lr: 1.5945e-03 eta: 4:49:21 time: 0.4920 data_time: 0.0351 memory: 18104 grad_norm: 7.2589 loss: 2.1302 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1702 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9601 2023/02/03 06:57:23 - mmengine - INFO - Epoch(train) [239][ 220/1879] lr: 1.5926e-03 eta: 4:49:11 time: 0.5166 data_time: 0.0429 memory: 18104 grad_norm: 7.2265 loss: 2.2209 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2427 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 0.9782 2023/02/03 06:57:33 - mmengine - INFO - Epoch(train) [239][ 240/1879] lr: 1.5908e-03 eta: 4:49:00 time: 0.4901 data_time: 0.0349 memory: 18104 grad_norm: 7.4271 loss: 2.1912 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2477 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 0.9435 2023/02/03 06:57:43 - mmengine - INFO - Epoch(train) [239][ 260/1879] lr: 1.5889e-03 eta: 4:48:50 time: 0.5017 data_time: 0.0359 memory: 18104 grad_norm: 7.5126 loss: 2.2021 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.3341 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.8681 2023/02/03 06:57:53 - mmengine - INFO - Epoch(train) [239][ 280/1879] lr: 1.5870e-03 eta: 4:48:39 time: 0.5061 data_time: 0.0386 memory: 18104 grad_norm: 7.1680 loss: 2.1504 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1641 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.9862 2023/02/03 06:58:03 - mmengine - INFO - Epoch(train) [239][ 300/1879] lr: 1.5851e-03 eta: 4:48:29 time: 0.4931 data_time: 0.0369 memory: 18104 grad_norm: 7.4441 loss: 2.2220 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2559 top1_acc_1: 0.7529 top5_acc_1: 0.9647 loss_cls_1: 0.9662 2023/02/03 06:58:13 - mmengine - INFO - Epoch(train) [239][ 320/1879] lr: 1.5832e-03 eta: 4:48:18 time: 0.4797 data_time: 0.0358 memory: 18104 grad_norm: 7.6157 loss: 2.1463 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2803 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 0.8659 2023/02/03 06:58:23 - mmengine - INFO - Epoch(train) [239][ 340/1879] lr: 1.5813e-03 eta: 4:48:08 time: 0.5087 data_time: 0.0350 memory: 18104 grad_norm: 7.2395 loss: 2.0001 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0724 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 0.9277 2023/02/03 06:58:33 - mmengine - INFO - Epoch(train) [239][ 360/1879] lr: 1.5795e-03 eta: 4:47:58 time: 0.4959 data_time: 0.0414 memory: 18104 grad_norm: 7.3041 loss: 2.1925 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.2295 top1_acc_1: 0.8588 top5_acc_1: 0.9647 loss_cls_1: 0.9629 2023/02/03 06:58:43 - mmengine - INFO - Epoch(train) [239][ 380/1879] lr: 1.5776e-03 eta: 4:47:47 time: 0.4932 data_time: 0.0362 memory: 18104 grad_norm: 7.2901 loss: 2.2315 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2976 top1_acc_1: 0.6706 top5_acc_1: 0.9059 loss_cls_1: 0.9339 2023/02/03 06:58:53 - mmengine - INFO - Epoch(train) [239][ 400/1879] lr: 1.5757e-03 eta: 4:47:37 time: 0.4832 data_time: 0.0346 memory: 18104 grad_norm: 7.5054 loss: 2.1417 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1961 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 0.9457 2023/02/03 06:59:03 - mmengine - INFO - Epoch(train) [239][ 420/1879] lr: 1.5738e-03 eta: 4:47:26 time: 0.5079 data_time: 0.0429 memory: 18104 grad_norm: 7.2200 loss: 1.8399 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 0.9621 top1_acc_1: 0.8824 top5_acc_1: 0.9647 loss_cls_1: 0.8778 2023/02/03 06:59:12 - mmengine - INFO - Epoch(train) [239][ 440/1879] lr: 1.5720e-03 eta: 4:47:16 time: 0.4746 data_time: 0.0349 memory: 18104 grad_norm: 7.3608 loss: 2.0799 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1412 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9387 2023/02/03 06:59:22 - mmengine - INFO - Epoch(train) [239][ 460/1879] lr: 1.5701e-03 eta: 4:47:05 time: 0.4958 data_time: 0.0384 memory: 18104 grad_norm: 7.5114 loss: 2.1420 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.2479 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.8941 2023/02/03 06:59:32 - mmengine - INFO - Epoch(train) [239][ 480/1879] lr: 1.5682e-03 eta: 4:46:55 time: 0.4858 data_time: 0.0360 memory: 18104 grad_norm: 7.3493 loss: 2.2134 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2456 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 0.9678 2023/02/03 06:59:42 - mmengine - INFO - Epoch(train) [239][ 500/1879] lr: 1.5663e-03 eta: 4:46:44 time: 0.5031 data_time: 0.0412 memory: 18104 grad_norm: 7.4080 loss: 2.0468 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0329 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0139 2023/02/03 06:59:52 - mmengine - INFO - Epoch(train) [239][ 520/1879] lr: 1.5645e-03 eta: 4:46:34 time: 0.4784 data_time: 0.0343 memory: 18104 grad_norm: 7.4974 loss: 1.8510 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 0.9246 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9264 2023/02/03 07:00:02 - mmengine - INFO - Epoch(train) [239][ 540/1879] lr: 1.5626e-03 eta: 4:46:23 time: 0.5030 data_time: 0.0375 memory: 18104 grad_norm: 7.2819 loss: 2.0377 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1447 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 0.8930 2023/02/03 07:00:11 - mmengine - INFO - Epoch(train) [239][ 560/1879] lr: 1.5607e-03 eta: 4:46:13 time: 0.4809 data_time: 0.0358 memory: 18104 grad_norm: 7.3799 loss: 2.1411 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1993 top1_acc_1: 0.8824 top5_acc_1: 0.9412 loss_cls_1: 0.9417 2023/02/03 07:00:21 - mmengine - INFO - Epoch(train) [239][ 580/1879] lr: 1.5589e-03 eta: 4:46:03 time: 0.5004 data_time: 0.0435 memory: 18104 grad_norm: 7.3371 loss: 2.1624 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1599 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 1.0025 2023/02/03 07:00:32 - mmengine - INFO - Epoch(train) [239][ 600/1879] lr: 1.5570e-03 eta: 4:45:52 time: 0.5065 data_time: 0.0378 memory: 18104 grad_norm: 7.5225 loss: 2.2630 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2570 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 1.0059 2023/02/03 07:00:42 - mmengine - INFO - Epoch(train) [239][ 620/1879] lr: 1.5551e-03 eta: 4:45:42 time: 0.5022 data_time: 0.0310 memory: 18104 grad_norm: 7.2505 loss: 1.9515 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0551 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.8965 2023/02/03 07:00:52 - mmengine - INFO - Epoch(train) [239][ 640/1879] lr: 1.5533e-03 eta: 4:45:31 time: 0.4968 data_time: 0.0445 memory: 18104 grad_norm: 7.4089 loss: 2.0115 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.0669 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.9446 2023/02/03 07:01:02 - mmengine - INFO - Epoch(train) [239][ 660/1879] lr: 1.5514e-03 eta: 4:45:21 time: 0.5055 data_time: 0.0294 memory: 18104 grad_norm: 7.3499 loss: 2.2724 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3045 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9678 2023/02/03 07:01:12 - mmengine - INFO - Epoch(train) [239][ 680/1879] lr: 1.5496e-03 eta: 4:45:11 time: 0.5003 data_time: 0.0362 memory: 18104 grad_norm: 7.4431 loss: 2.1675 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1919 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 0.9756 2023/02/03 07:01:22 - mmengine - INFO - Epoch(train) [239][ 700/1879] lr: 1.5477e-03 eta: 4:45:00 time: 0.4987 data_time: 0.0350 memory: 18104 grad_norm: 7.2477 loss: 2.1731 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.2402 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.9329 2023/02/03 07:01:32 - mmengine - INFO - Epoch(train) [239][ 720/1879] lr: 1.5458e-03 eta: 4:44:50 time: 0.4855 data_time: 0.0375 memory: 18104 grad_norm: 7.5805 loss: 2.1640 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.2140 top1_acc_1: 0.8706 top5_acc_1: 0.9412 loss_cls_1: 0.9500 2023/02/03 07:01:42 - mmengine - INFO - Epoch(train) [239][ 740/1879] lr: 1.5440e-03 eta: 4:44:39 time: 0.5040 data_time: 0.0298 memory: 18104 grad_norm: 7.3211 loss: 1.9857 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.0121 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 0.9736 2023/02/03 07:01:51 - mmengine - INFO - Epoch(train) [239][ 760/1879] lr: 1.5421e-03 eta: 4:44:29 time: 0.4917 data_time: 0.0367 memory: 18104 grad_norm: 7.4103 loss: 2.1706 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2695 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9010 2023/02/03 07:02:01 - mmengine - INFO - Epoch(train) [239][ 780/1879] lr: 1.5403e-03 eta: 4:44:18 time: 0.4931 data_time: 0.0339 memory: 18104 grad_norm: 7.4595 loss: 2.1164 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1790 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9375 2023/02/03 07:02:10 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 07:02:11 - mmengine - INFO - Epoch(train) [239][ 800/1879] lr: 1.5384e-03 eta: 4:44:08 time: 0.4854 data_time: 0.0354 memory: 18104 grad_norm: 7.4633 loss: 2.2014 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.2675 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 0.9339 2023/02/03 07:02:21 - mmengine - INFO - Epoch(train) [239][ 820/1879] lr: 1.5366e-03 eta: 4:43:57 time: 0.4982 data_time: 0.0350 memory: 18104 grad_norm: 7.3159 loss: 2.1125 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1656 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.9469 2023/02/03 07:02:31 - mmengine - INFO - Epoch(train) [239][ 840/1879] lr: 1.5347e-03 eta: 4:43:47 time: 0.4831 data_time: 0.0373 memory: 18104 grad_norm: 7.3610 loss: 1.9435 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.0471 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 0.8964 2023/02/03 07:02:41 - mmengine - INFO - Epoch(train) [239][ 860/1879] lr: 1.5329e-03 eta: 4:43:37 time: 0.4991 data_time: 0.0360 memory: 18104 grad_norm: 7.4354 loss: 2.1176 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1722 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 0.9454 2023/02/03 07:02:50 - mmengine - INFO - Epoch(train) [239][ 880/1879] lr: 1.5310e-03 eta: 4:43:26 time: 0.4797 data_time: 0.0358 memory: 18104 grad_norm: 7.1172 loss: 2.1018 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2195 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.8823 2023/02/03 07:03:00 - mmengine - INFO - Epoch(train) [239][ 900/1879] lr: 1.5292e-03 eta: 4:43:16 time: 0.4936 data_time: 0.0386 memory: 18104 grad_norm: 7.4349 loss: 1.9991 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.0574 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.9416 2023/02/03 07:03:10 - mmengine - INFO - Epoch(train) [239][ 920/1879] lr: 1.5273e-03 eta: 4:43:05 time: 0.4929 data_time: 0.0381 memory: 18104 grad_norm: 7.4988 loss: 2.2056 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1988 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 1.0069 2023/02/03 07:03:20 - mmengine - INFO - Epoch(train) [239][ 940/1879] lr: 1.5255e-03 eta: 4:42:55 time: 0.4927 data_time: 0.0345 memory: 18104 grad_norm: 7.4715 loss: 2.3529 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3731 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.9798 2023/02/03 07:03:30 - mmengine - INFO - Epoch(train) [239][ 960/1879] lr: 1.5236e-03 eta: 4:42:44 time: 0.4847 data_time: 0.0362 memory: 18104 grad_norm: 7.3456 loss: 2.1667 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1959 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 0.9708 2023/02/03 07:03:39 - mmengine - INFO - Epoch(train) [239][ 980/1879] lr: 1.5218e-03 eta: 4:42:34 time: 0.4843 data_time: 0.0422 memory: 18104 grad_norm: 7.4038 loss: 2.1769 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1776 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9993 2023/02/03 07:03:49 - mmengine - INFO - Epoch(train) [239][1000/1879] lr: 1.5199e-03 eta: 4:42:23 time: 0.4905 data_time: 0.0406 memory: 18104 grad_norm: 7.6529 loss: 2.1474 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2418 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9057 2023/02/03 07:03:59 - mmengine - INFO - Epoch(train) [239][1020/1879] lr: 1.5181e-03 eta: 4:42:13 time: 0.4899 data_time: 0.0338 memory: 18104 grad_norm: 7.2373 loss: 2.3320 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2998 top1_acc_1: 0.7059 top5_acc_1: 0.9647 loss_cls_1: 1.0322 2023/02/03 07:04:09 - mmengine - INFO - Epoch(train) [239][1040/1879] lr: 1.5162e-03 eta: 4:42:02 time: 0.4842 data_time: 0.0416 memory: 18104 grad_norm: 7.6481 loss: 2.1337 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1901 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9436 2023/02/03 07:04:19 - mmengine - INFO - Epoch(train) [239][1060/1879] lr: 1.5144e-03 eta: 4:41:52 time: 0.4918 data_time: 0.0349 memory: 18104 grad_norm: 7.2512 loss: 2.1280 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0817 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 1.0463 2023/02/03 07:04:28 - mmengine - INFO - Epoch(train) [239][1080/1879] lr: 1.5126e-03 eta: 4:41:41 time: 0.4809 data_time: 0.0361 memory: 18104 grad_norm: 7.4704 loss: 2.1658 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1806 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9852 2023/02/03 07:04:38 - mmengine - INFO - Epoch(train) [239][1100/1879] lr: 1.5107e-03 eta: 4:41:31 time: 0.4905 data_time: 0.0370 memory: 18104 grad_norm: 7.4248 loss: 2.0286 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1172 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.9114 2023/02/03 07:04:48 - mmengine - INFO - Epoch(train) [239][1120/1879] lr: 1.5089e-03 eta: 4:41:20 time: 0.4950 data_time: 0.0351 memory: 18104 grad_norm: 7.4816 loss: 2.1916 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2434 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9482 2023/02/03 07:04:58 - mmengine - INFO - Epoch(train) [239][1140/1879] lr: 1.5071e-03 eta: 4:41:10 time: 0.4895 data_time: 0.0359 memory: 18104 grad_norm: 7.4462 loss: 2.2245 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2753 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 0.9492 2023/02/03 07:05:08 - mmengine - INFO - Epoch(train) [239][1160/1879] lr: 1.5052e-03 eta: 4:40:59 time: 0.4848 data_time: 0.0446 memory: 18104 grad_norm: 7.5488 loss: 2.1790 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2340 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9450 2023/02/03 07:05:17 - mmengine - INFO - Epoch(train) [239][1180/1879] lr: 1.5034e-03 eta: 4:40:49 time: 0.4855 data_time: 0.0353 memory: 18104 grad_norm: 7.5599 loss: 2.1363 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.1941 top1_acc_1: 0.7882 top5_acc_1: 0.9647 loss_cls_1: 0.9422 2023/02/03 07:05:27 - mmengine - INFO - Epoch(train) [239][1200/1879] lr: 1.5016e-03 eta: 4:40:38 time: 0.4830 data_time: 0.0355 memory: 18104 grad_norm: 7.4084 loss: 2.0460 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0599 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 0.9861 2023/02/03 07:05:37 - mmengine - INFO - Epoch(train) [239][1220/1879] lr: 1.4997e-03 eta: 4:40:28 time: 0.4955 data_time: 0.0369 memory: 18104 grad_norm: 7.6723 loss: 2.2730 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3498 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.9233 2023/02/03 07:05:47 - mmengine - INFO - Epoch(train) [239][1240/1879] lr: 1.4979e-03 eta: 4:40:18 time: 0.4815 data_time: 0.0377 memory: 18104 grad_norm: 7.5789 loss: 2.4061 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.4055 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 1.0006 2023/02/03 07:05:57 - mmengine - INFO - Epoch(train) [239][1260/1879] lr: 1.4961e-03 eta: 4:40:07 time: 0.4986 data_time: 0.0356 memory: 18104 grad_norm: 7.4663 loss: 2.0951 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1504 top1_acc_1: 0.7529 top5_acc_1: 0.9647 loss_cls_1: 0.9447 2023/02/03 07:06:06 - mmengine - INFO - Epoch(train) [239][1280/1879] lr: 1.4942e-03 eta: 4:39:57 time: 0.4785 data_time: 0.0353 memory: 18104 grad_norm: 7.1771 loss: 2.1771 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1888 top1_acc_1: 0.6941 top5_acc_1: 0.9412 loss_cls_1: 0.9882 2023/02/03 07:06:16 - mmengine - INFO - Epoch(train) [239][1300/1879] lr: 1.4924e-03 eta: 4:39:46 time: 0.4863 data_time: 0.0430 memory: 18104 grad_norm: 7.3448 loss: 2.2008 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.2455 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9553 2023/02/03 07:06:26 - mmengine - INFO - Epoch(train) [239][1320/1879] lr: 1.4906e-03 eta: 4:39:36 time: 0.4812 data_time: 0.0343 memory: 18104 grad_norm: 7.4039 loss: 2.1426 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.2506 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.8919 2023/02/03 07:06:35 - mmengine - INFO - Epoch(train) [239][1340/1879] lr: 1.4888e-03 eta: 4:39:25 time: 0.4843 data_time: 0.0366 memory: 18104 grad_norm: 7.3730 loss: 2.3258 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3461 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.9797 2023/02/03 07:06:45 - mmengine - INFO - Epoch(train) [239][1360/1879] lr: 1.4869e-03 eta: 4:39:15 time: 0.4889 data_time: 0.0413 memory: 18104 grad_norm: 7.3577 loss: 1.9791 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0006 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9785 2023/02/03 07:06:55 - mmengine - INFO - Epoch(train) [239][1380/1879] lr: 1.4851e-03 eta: 4:39:04 time: 0.4802 data_time: 0.0381 memory: 18104 grad_norm: 7.2628 loss: 2.1790 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2647 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9143 2023/02/03 07:07:05 - mmengine - INFO - Epoch(train) [239][1400/1879] lr: 1.4833e-03 eta: 4:38:54 time: 0.4933 data_time: 0.0356 memory: 18104 grad_norm: 7.3281 loss: 2.1220 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.1741 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 0.9479 2023/02/03 07:07:15 - mmengine - INFO - Epoch(train) [239][1420/1879] lr: 1.4815e-03 eta: 4:38:43 time: 0.4926 data_time: 0.0342 memory: 18104 grad_norm: 7.3722 loss: 2.0541 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1314 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.9227 2023/02/03 07:07:24 - mmengine - INFO - Epoch(train) [239][1440/1879] lr: 1.4797e-03 eta: 4:38:33 time: 0.4763 data_time: 0.0395 memory: 18104 grad_norm: 7.4481 loss: 2.3332 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.3686 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.9645 2023/02/03 07:07:34 - mmengine - INFO - Epoch(train) [239][1460/1879] lr: 1.4778e-03 eta: 4:38:22 time: 0.4946 data_time: 0.0346 memory: 18104 grad_norm: 7.6374 loss: 2.2132 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.2312 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.9820 2023/02/03 07:07:44 - mmengine - INFO - Epoch(train) [239][1480/1879] lr: 1.4760e-03 eta: 4:38:12 time: 0.4821 data_time: 0.0340 memory: 18104 grad_norm: 7.4186 loss: 2.2424 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3041 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 0.9383 2023/02/03 07:07:54 - mmengine - INFO - Epoch(train) [239][1500/1879] lr: 1.4742e-03 eta: 4:38:01 time: 0.4939 data_time: 0.0365 memory: 18104 grad_norm: 7.2910 loss: 2.1805 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.2119 top1_acc_1: 0.8471 top5_acc_1: 0.9176 loss_cls_1: 0.9686 2023/02/03 07:08:03 - mmengine - INFO - Epoch(train) [239][1520/1879] lr: 1.4724e-03 eta: 4:37:51 time: 0.4914 data_time: 0.0322 memory: 18104 grad_norm: 7.4098 loss: 1.9863 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.0210 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 0.9652 2023/02/03 07:08:13 - mmengine - INFO - Epoch(train) [239][1540/1879] lr: 1.4706e-03 eta: 4:37:41 time: 0.5033 data_time: 0.0350 memory: 18104 grad_norm: 7.3320 loss: 2.1089 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1085 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 1.0004 2023/02/03 07:08:23 - mmengine - INFO - Epoch(train) [239][1560/1879] lr: 1.4688e-03 eta: 4:37:30 time: 0.4949 data_time: 0.0345 memory: 18104 grad_norm: 7.4350 loss: 2.1164 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1743 top1_acc_1: 0.7647 top5_acc_1: 0.9647 loss_cls_1: 0.9421 2023/02/03 07:08:33 - mmengine - INFO - Epoch(train) [239][1580/1879] lr: 1.4670e-03 eta: 4:37:20 time: 0.4903 data_time: 0.0351 memory: 18104 grad_norm: 7.3651 loss: 2.1123 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1764 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.9358 2023/02/03 07:08:43 - mmengine - INFO - Epoch(train) [239][1600/1879] lr: 1.4651e-03 eta: 4:37:09 time: 0.4969 data_time: 0.0348 memory: 18104 grad_norm: 7.5327 loss: 2.2141 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2330 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 0.9811 2023/02/03 07:08:53 - mmengine - INFO - Epoch(train) [239][1620/1879] lr: 1.4633e-03 eta: 4:36:59 time: 0.5030 data_time: 0.0333 memory: 18104 grad_norm: 7.6397 loss: 2.1831 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2163 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 0.9668 2023/02/03 07:09:03 - mmengine - INFO - Epoch(train) [239][1640/1879] lr: 1.4615e-03 eta: 4:36:48 time: 0.4957 data_time: 0.0417 memory: 18104 grad_norm: 7.3992 loss: 2.1314 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1643 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.9671 2023/02/03 07:09:13 - mmengine - INFO - Epoch(train) [239][1660/1879] lr: 1.4597e-03 eta: 4:36:38 time: 0.5110 data_time: 0.0340 memory: 18104 grad_norm: 7.4923 loss: 2.2572 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2755 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 0.9817 2023/02/03 07:09:24 - mmengine - INFO - Epoch(train) [239][1680/1879] lr: 1.4579e-03 eta: 4:36:28 time: 0.5081 data_time: 0.0367 memory: 18104 grad_norm: 7.3543 loss: 2.1269 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1657 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.9612 2023/02/03 07:09:34 - mmengine - INFO - Epoch(train) [239][1700/1879] lr: 1.4561e-03 eta: 4:36:17 time: 0.5157 data_time: 0.0427 memory: 18104 grad_norm: 7.5276 loss: 2.2328 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2550 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.9778 2023/02/03 07:09:44 - mmengine - INFO - Epoch(train) [239][1720/1879] lr: 1.4543e-03 eta: 4:36:07 time: 0.5100 data_time: 0.0359 memory: 18104 grad_norm: 7.5882 loss: 2.0795 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0733 top1_acc_1: 0.7882 top5_acc_1: 0.9647 loss_cls_1: 1.0062 2023/02/03 07:09:55 - mmengine - INFO - Epoch(train) [239][1740/1879] lr: 1.4525e-03 eta: 4:35:57 time: 0.5273 data_time: 0.0309 memory: 18104 grad_norm: 7.4896 loss: 2.0484 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1067 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9417 2023/02/03 07:10:05 - mmengine - INFO - Epoch(train) [239][1760/1879] lr: 1.4507e-03 eta: 4:35:46 time: 0.5164 data_time: 0.0362 memory: 18104 grad_norm: 7.4969 loss: 2.0732 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.1589 top1_acc_1: 0.8353 top5_acc_1: 0.9176 loss_cls_1: 0.9144 2023/02/03 07:10:15 - mmengine - INFO - Epoch(train) [239][1780/1879] lr: 1.4489e-03 eta: 4:35:36 time: 0.5055 data_time: 0.0311 memory: 18104 grad_norm: 7.5165 loss: 2.1976 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.2550 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9425 2023/02/03 07:10:25 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 07:10:26 - mmengine - INFO - Epoch(train) [239][1800/1879] lr: 1.4471e-03 eta: 4:35:26 time: 0.5351 data_time: 0.0367 memory: 18104 grad_norm: 7.4251 loss: 2.1342 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.2074 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9268 2023/02/03 07:10:36 - mmengine - INFO - Epoch(train) [239][1820/1879] lr: 1.4453e-03 eta: 4:35:16 time: 0.5126 data_time: 0.0309 memory: 18104 grad_norm: 7.5082 loss: 2.0467 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0098 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 1.0369 2023/02/03 07:10:46 - mmengine - INFO - Epoch(train) [239][1840/1879] lr: 1.4435e-03 eta: 4:35:05 time: 0.5072 data_time: 0.0417 memory: 18104 grad_norm: 7.5933 loss: 2.2232 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.3029 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.9203 2023/02/03 07:10:57 - mmengine - INFO - Epoch(train) [239][1860/1879] lr: 1.4417e-03 eta: 4:34:55 time: 0.5219 data_time: 0.0326 memory: 18104 grad_norm: 7.4044 loss: 2.1608 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2392 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.9216 2023/02/03 07:11:06 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 07:11:06 - mmengine - INFO - Epoch(train) [239][1879/1879] lr: 1.4400e-03 eta: 4:34:45 time: 0.4853 data_time: 0.0338 memory: 18104 grad_norm: 7.6834 loss: 2.2315 top1_acc_0: 0.8571 top5_acc_0: 1.0000 loss_cls_0: 1.3149 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 0.9166 2023/02/03 07:11:21 - mmengine - INFO - Epoch(train) [240][ 20/1879] lr: 1.4382e-03 eta: 4:34:36 time: 0.7135 data_time: 0.2622 memory: 18104 grad_norm: 7.2729 loss: 2.2229 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2819 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 0.9409 2023/02/03 07:11:31 - mmengine - INFO - Epoch(train) [240][ 40/1879] lr: 1.4364e-03 eta: 4:34:25 time: 0.4794 data_time: 0.0306 memory: 18104 grad_norm: 7.2228 loss: 1.9645 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0551 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.9094 2023/02/03 07:11:41 - mmengine - INFO - Epoch(train) [240][ 60/1879] lr: 1.4346e-03 eta: 4:34:15 time: 0.4918 data_time: 0.0409 memory: 18104 grad_norm: 7.4383 loss: 2.0863 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.1645 top1_acc_1: 0.7882 top5_acc_1: 0.8706 loss_cls_1: 0.9218 2023/02/03 07:11:51 - mmengine - INFO - Epoch(train) [240][ 80/1879] lr: 1.4328e-03 eta: 4:34:04 time: 0.5212 data_time: 0.0388 memory: 18104 grad_norm: 7.4459 loss: 1.9962 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0737 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.9226 2023/02/03 07:12:01 - mmengine - INFO - Epoch(train) [240][ 100/1879] lr: 1.4310e-03 eta: 4:33:54 time: 0.4922 data_time: 0.0392 memory: 18104 grad_norm: 7.2774 loss: 2.2008 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2280 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 0.9728 2023/02/03 07:12:11 - mmengine - INFO - Epoch(train) [240][ 120/1879] lr: 1.4293e-03 eta: 4:33:43 time: 0.4847 data_time: 0.0309 memory: 18104 grad_norm: 7.4875 loss: 2.3520 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3368 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 1.0151 2023/02/03 07:12:21 - mmengine - INFO - Epoch(train) [240][ 140/1879] lr: 1.4275e-03 eta: 4:33:33 time: 0.5159 data_time: 0.0468 memory: 18104 grad_norm: 7.5618 loss: 2.0528 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0825 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 0.9703 2023/02/03 07:12:31 - mmengine - INFO - Epoch(train) [240][ 160/1879] lr: 1.4257e-03 eta: 4:33:23 time: 0.5014 data_time: 0.0310 memory: 18104 grad_norm: 7.3041 loss: 2.1142 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.1595 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 0.9547 2023/02/03 07:12:41 - mmengine - INFO - Epoch(train) [240][ 180/1879] lr: 1.4239e-03 eta: 4:33:12 time: 0.4924 data_time: 0.0377 memory: 18104 grad_norm: 7.3982 loss: 2.0492 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.1149 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9343 2023/02/03 07:12:51 - mmengine - INFO - Epoch(train) [240][ 200/1879] lr: 1.4221e-03 eta: 4:33:02 time: 0.4910 data_time: 0.0315 memory: 18104 grad_norm: 7.3809 loss: 2.1201 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1796 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 0.9405 2023/02/03 07:13:01 - mmengine - INFO - Epoch(train) [240][ 220/1879] lr: 1.4203e-03 eta: 4:32:51 time: 0.5137 data_time: 0.0451 memory: 18104 grad_norm: 7.4070 loss: 2.3009 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.3014 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9995 2023/02/03 07:13:11 - mmengine - INFO - Epoch(train) [240][ 240/1879] lr: 1.4185e-03 eta: 4:32:41 time: 0.4990 data_time: 0.0296 memory: 18104 grad_norm: 7.4915 loss: 2.1991 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2067 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.9924 2023/02/03 07:13:21 - mmengine - INFO - Epoch(train) [240][ 260/1879] lr: 1.4168e-03 eta: 4:32:31 time: 0.4906 data_time: 0.0391 memory: 18104 grad_norm: 7.2330 loss: 2.0871 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1157 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.9714 2023/02/03 07:13:31 - mmengine - INFO - Epoch(train) [240][ 280/1879] lr: 1.4150e-03 eta: 4:32:20 time: 0.5030 data_time: 0.0384 memory: 18104 grad_norm: 7.2899 loss: 2.1814 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.2442 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9372 2023/02/03 07:13:41 - mmengine - INFO - Epoch(train) [240][ 300/1879] lr: 1.4132e-03 eta: 4:32:10 time: 0.5058 data_time: 0.0380 memory: 18104 grad_norm: 7.4156 loss: 2.1110 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1618 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9492 2023/02/03 07:13:51 - mmengine - INFO - Epoch(train) [240][ 320/1879] lr: 1.4114e-03 eta: 4:31:59 time: 0.4916 data_time: 0.0307 memory: 18104 grad_norm: 7.1382 loss: 1.9421 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.0288 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9133 2023/02/03 07:14:01 - mmengine - INFO - Epoch(train) [240][ 340/1879] lr: 1.4097e-03 eta: 4:31:49 time: 0.5013 data_time: 0.0379 memory: 18104 grad_norm: 7.2803 loss: 2.1790 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.1811 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9979 2023/02/03 07:14:11 - mmengine - INFO - Epoch(train) [240][ 360/1879] lr: 1.4079e-03 eta: 4:31:39 time: 0.5066 data_time: 0.0304 memory: 18104 grad_norm: 7.3063 loss: 2.2949 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.3114 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9835 2023/02/03 07:14:21 - mmengine - INFO - Epoch(train) [240][ 380/1879] lr: 1.4061e-03 eta: 4:31:28 time: 0.5045 data_time: 0.0382 memory: 18104 grad_norm: 7.2056 loss: 2.0147 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.0858 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9289 2023/02/03 07:14:31 - mmengine - INFO - Epoch(train) [240][ 400/1879] lr: 1.4043e-03 eta: 4:31:18 time: 0.4948 data_time: 0.0321 memory: 18104 grad_norm: 7.4675 loss: 2.1136 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1437 top1_acc_1: 0.8706 top5_acc_1: 0.9647 loss_cls_1: 0.9699 2023/02/03 07:14:41 - mmengine - INFO - Epoch(train) [240][ 420/1879] lr: 1.4026e-03 eta: 4:31:07 time: 0.5055 data_time: 0.0359 memory: 18104 grad_norm: 7.3316 loss: 2.1882 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2031 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 0.9851 2023/02/03 07:14:51 - mmengine - INFO - Epoch(train) [240][ 440/1879] lr: 1.4008e-03 eta: 4:30:57 time: 0.4879 data_time: 0.0308 memory: 18104 grad_norm: 7.1284 loss: 1.9900 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0854 top1_acc_1: 0.8588 top5_acc_1: 0.9529 loss_cls_1: 0.9046 2023/02/03 07:15:01 - mmengine - INFO - Epoch(train) [240][ 460/1879] lr: 1.3990e-03 eta: 4:30:47 time: 0.5012 data_time: 0.0388 memory: 18104 grad_norm: 7.3548 loss: 1.9854 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0768 top1_acc_1: 0.8588 top5_acc_1: 0.9529 loss_cls_1: 0.9087 2023/02/03 07:15:11 - mmengine - INFO - Epoch(train) [240][ 480/1879] lr: 1.3973e-03 eta: 4:30:36 time: 0.4991 data_time: 0.0301 memory: 18104 grad_norm: 7.4720 loss: 2.0510 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.2103 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.8406 2023/02/03 07:15:21 - mmengine - INFO - Epoch(train) [240][ 500/1879] lr: 1.3955e-03 eta: 4:30:26 time: 0.5008 data_time: 0.0449 memory: 18104 grad_norm: 7.2506 loss: 2.0329 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0214 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.0115 2023/02/03 07:15:31 - mmengine - INFO - Epoch(train) [240][ 520/1879] lr: 1.3937e-03 eta: 4:30:15 time: 0.5000 data_time: 0.0309 memory: 18104 grad_norm: 7.3024 loss: 2.2181 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.2653 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9529 2023/02/03 07:15:41 - mmengine - INFO - Epoch(train) [240][ 540/1879] lr: 1.3920e-03 eta: 4:30:05 time: 0.5045 data_time: 0.0365 memory: 18104 grad_norm: 7.5284 loss: 2.0516 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.1258 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.9258 2023/02/03 07:15:51 - mmengine - INFO - Epoch(train) [240][ 560/1879] lr: 1.3902e-03 eta: 4:29:55 time: 0.5087 data_time: 0.0367 memory: 18104 grad_norm: 7.6335 loss: 2.0974 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0985 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9989 2023/02/03 07:16:01 - mmengine - INFO - Epoch(train) [240][ 580/1879] lr: 1.3884e-03 eta: 4:29:44 time: 0.4966 data_time: 0.0400 memory: 18104 grad_norm: 7.5936 loss: 2.0362 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.0908 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.9454 2023/02/03 07:16:11 - mmengine - INFO - Epoch(train) [240][ 600/1879] lr: 1.3867e-03 eta: 4:29:34 time: 0.4950 data_time: 0.0309 memory: 18104 grad_norm: 7.3322 loss: 2.0531 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.1074 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 0.9458 2023/02/03 07:16:21 - mmengine - INFO - Epoch(train) [240][ 620/1879] lr: 1.3849e-03 eta: 4:29:23 time: 0.5040 data_time: 0.0378 memory: 18104 grad_norm: 7.4901 loss: 1.9630 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0461 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 0.9169 2023/02/03 07:16:32 - mmengine - INFO - Epoch(train) [240][ 640/1879] lr: 1.3831e-03 eta: 4:29:13 time: 0.5076 data_time: 0.0358 memory: 18104 grad_norm: 7.4253 loss: 1.8391 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 0.9640 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.8750 2023/02/03 07:16:42 - mmengine - INFO - Epoch(train) [240][ 660/1879] lr: 1.3814e-03 eta: 4:29:03 time: 0.4972 data_time: 0.0376 memory: 18104 grad_norm: 7.4461 loss: 2.3519 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3741 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9779 2023/02/03 07:16:52 - mmengine - INFO - Epoch(train) [240][ 680/1879] lr: 1.3796e-03 eta: 4:28:52 time: 0.4960 data_time: 0.0320 memory: 18104 grad_norm: 7.6179 loss: 2.2033 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2783 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 0.9251 2023/02/03 07:17:02 - mmengine - INFO - Epoch(train) [240][ 700/1879] lr: 1.3779e-03 eta: 4:28:42 time: 0.5175 data_time: 0.0487 memory: 18104 grad_norm: 7.3585 loss: 2.2527 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.3163 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 0.9364 2023/02/03 07:17:12 - mmengine - INFO - Epoch(train) [240][ 720/1879] lr: 1.3761e-03 eta: 4:28:32 time: 0.5123 data_time: 0.0315 memory: 18104 grad_norm: 7.4323 loss: 2.2309 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.3154 top1_acc_1: 0.7765 top5_acc_1: 0.9647 loss_cls_1: 0.9155 2023/02/03 07:17:23 - mmengine - INFO - Epoch(train) [240][ 740/1879] lr: 1.3744e-03 eta: 4:28:21 time: 0.5224 data_time: 0.0358 memory: 18104 grad_norm: 7.4653 loss: 2.1232 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2209 top1_acc_1: 0.7882 top5_acc_1: 0.8824 loss_cls_1: 0.9023 2023/02/03 07:17:33 - mmengine - INFO - Epoch(train) [240][ 760/1879] lr: 1.3726e-03 eta: 4:28:11 time: 0.5153 data_time: 0.0301 memory: 18104 grad_norm: 7.3671 loss: 2.0447 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1490 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 0.8957 2023/02/03 07:17:43 - mmengine - INFO - Epoch(train) [240][ 780/1879] lr: 1.3709e-03 eta: 4:28:01 time: 0.5186 data_time: 0.0423 memory: 18104 grad_norm: 7.3887 loss: 2.2970 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3712 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 0.9258 2023/02/03 07:17:54 - mmengine - INFO - Epoch(train) [240][ 800/1879] lr: 1.3691e-03 eta: 4:27:50 time: 0.5069 data_time: 0.0294 memory: 18104 grad_norm: 7.5177 loss: 2.3260 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.3345 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.9914 2023/02/03 07:18:04 - mmengine - INFO - Epoch(train) [240][ 820/1879] lr: 1.3674e-03 eta: 4:27:40 time: 0.5128 data_time: 0.0361 memory: 18104 grad_norm: 7.4535 loss: 2.1508 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1308 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 1.0201 2023/02/03 07:18:14 - mmengine - INFO - Epoch(train) [240][ 840/1879] lr: 1.3656e-03 eta: 4:27:30 time: 0.5187 data_time: 0.0289 memory: 18104 grad_norm: 7.4467 loss: 2.1076 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1418 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 0.9658 2023/02/03 07:18:25 - mmengine - INFO - Epoch(train) [240][ 860/1879] lr: 1.3639e-03 eta: 4:27:19 time: 0.5190 data_time: 0.0380 memory: 18104 grad_norm: 7.3617 loss: 2.0194 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1131 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 0.9062 2023/02/03 07:18:35 - mmengine - INFO - Epoch(train) [240][ 880/1879] lr: 1.3621e-03 eta: 4:27:09 time: 0.5045 data_time: 0.0284 memory: 18104 grad_norm: 7.3388 loss: 2.1635 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2074 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9561 2023/02/03 07:18:45 - mmengine - INFO - Epoch(train) [240][ 900/1879] lr: 1.3604e-03 eta: 4:26:59 time: 0.5324 data_time: 0.0461 memory: 18104 grad_norm: 7.4265 loss: 2.0165 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1200 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.8964 2023/02/03 07:18:55 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 07:18:56 - mmengine - INFO - Epoch(train) [240][ 920/1879] lr: 1.3586e-03 eta: 4:26:48 time: 0.5065 data_time: 0.0290 memory: 18104 grad_norm: 7.5662 loss: 2.0401 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.1592 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.8809 2023/02/03 07:19:06 - mmengine - INFO - Epoch(train) [240][ 940/1879] lr: 1.3569e-03 eta: 4:26:38 time: 0.5176 data_time: 0.0364 memory: 18104 grad_norm: 7.4697 loss: 2.0876 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1805 top1_acc_1: 0.8353 top5_acc_1: 0.9176 loss_cls_1: 0.9071 2023/02/03 07:19:16 - mmengine - INFO - Epoch(train) [240][ 960/1879] lr: 1.3551e-03 eta: 4:26:28 time: 0.5093 data_time: 0.0308 memory: 18104 grad_norm: 7.5312 loss: 2.1012 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.1367 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9645 2023/02/03 07:19:27 - mmengine - INFO - Epoch(train) [240][ 980/1879] lr: 1.3534e-03 eta: 4:26:17 time: 0.5182 data_time: 0.0419 memory: 18104 grad_norm: 7.6011 loss: 1.9639 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.0191 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9448 2023/02/03 07:19:36 - mmengine - INFO - Epoch(train) [240][1000/1879] lr: 1.3517e-03 eta: 4:26:07 time: 0.4898 data_time: 0.0291 memory: 18104 grad_norm: 7.3208 loss: 2.2486 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3338 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9148 2023/02/03 07:19:47 - mmengine - INFO - Epoch(train) [240][1020/1879] lr: 1.3499e-03 eta: 4:25:57 time: 0.5131 data_time: 0.0350 memory: 18104 grad_norm: 7.4147 loss: 2.0022 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0587 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 0.9435 2023/02/03 07:19:57 - mmengine - INFO - Epoch(train) [240][1040/1879] lr: 1.3482e-03 eta: 4:25:46 time: 0.5048 data_time: 0.0360 memory: 18104 grad_norm: 7.4884 loss: 2.1316 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1758 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 0.9558 2023/02/03 07:20:07 - mmengine - INFO - Epoch(train) [240][1060/1879] lr: 1.3464e-03 eta: 4:25:36 time: 0.5027 data_time: 0.0377 memory: 18104 grad_norm: 7.4189 loss: 1.9721 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0107 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9614 2023/02/03 07:20:17 - mmengine - INFO - Epoch(train) [240][1080/1879] lr: 1.3447e-03 eta: 4:25:25 time: 0.4958 data_time: 0.0312 memory: 18104 grad_norm: 7.4573 loss: 2.3243 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3742 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9500 2023/02/03 07:20:27 - mmengine - INFO - Epoch(train) [240][1100/1879] lr: 1.3430e-03 eta: 4:25:15 time: 0.5238 data_time: 0.0435 memory: 18104 grad_norm: 7.4044 loss: 2.1436 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2470 top1_acc_1: 0.7294 top5_acc_1: 0.9529 loss_cls_1: 0.8967 2023/02/03 07:20:37 - mmengine - INFO - Epoch(train) [240][1120/1879] lr: 1.3412e-03 eta: 4:25:05 time: 0.4957 data_time: 0.0327 memory: 18104 grad_norm: 7.4365 loss: 2.0410 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0596 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 0.9813 2023/02/03 07:20:47 - mmengine - INFO - Epoch(train) [240][1140/1879] lr: 1.3395e-03 eta: 4:24:54 time: 0.5044 data_time: 0.0363 memory: 18104 grad_norm: 7.3348 loss: 2.0404 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1456 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 0.8948 2023/02/03 07:20:57 - mmengine - INFO - Epoch(train) [240][1160/1879] lr: 1.3378e-03 eta: 4:24:44 time: 0.4965 data_time: 0.0309 memory: 18104 grad_norm: 7.4010 loss: 2.2797 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2551 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 1.0247 2023/02/03 07:21:08 - mmengine - INFO - Epoch(train) [240][1180/1879] lr: 1.3360e-03 eta: 4:24:34 time: 0.5194 data_time: 0.0410 memory: 18104 grad_norm: 7.3596 loss: 1.9667 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0015 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9651 2023/02/03 07:21:18 - mmengine - INFO - Epoch(train) [240][1200/1879] lr: 1.3343e-03 eta: 4:24:23 time: 0.4990 data_time: 0.0309 memory: 18104 grad_norm: 7.2477 loss: 2.1400 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1626 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9774 2023/02/03 07:21:28 - mmengine - INFO - Epoch(train) [240][1220/1879] lr: 1.3326e-03 eta: 4:24:13 time: 0.5086 data_time: 0.0372 memory: 18104 grad_norm: 7.3881 loss: 2.1030 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1520 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.9509 2023/02/03 07:21:38 - mmengine - INFO - Epoch(train) [240][1240/1879] lr: 1.3309e-03 eta: 4:24:03 time: 0.5195 data_time: 0.0308 memory: 18104 grad_norm: 7.3514 loss: 1.9950 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.1004 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.8947 2023/02/03 07:21:48 - mmengine - INFO - Epoch(train) [240][1260/1879] lr: 1.3291e-03 eta: 4:23:52 time: 0.4949 data_time: 0.0367 memory: 18104 grad_norm: 7.4713 loss: 2.1076 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1478 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 0.9599 2023/02/03 07:21:58 - mmengine - INFO - Epoch(train) [240][1280/1879] lr: 1.3274e-03 eta: 4:23:42 time: 0.4874 data_time: 0.0328 memory: 18104 grad_norm: 7.2762 loss: 2.0669 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1972 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 0.8697 2023/02/03 07:22:08 - mmengine - INFO - Epoch(train) [240][1300/1879] lr: 1.3257e-03 eta: 4:23:31 time: 0.5050 data_time: 0.0384 memory: 18104 grad_norm: 7.4050 loss: 2.2584 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2782 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 0.9801 2023/02/03 07:22:18 - mmengine - INFO - Epoch(train) [240][1320/1879] lr: 1.3240e-03 eta: 4:23:21 time: 0.5107 data_time: 0.0368 memory: 18104 grad_norm: 7.5255 loss: 1.9852 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.0173 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 0.9679 2023/02/03 07:22:28 - mmengine - INFO - Epoch(train) [240][1340/1879] lr: 1.3222e-03 eta: 4:23:11 time: 0.4978 data_time: 0.0399 memory: 18104 grad_norm: 7.4397 loss: 2.2135 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.2459 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9677 2023/02/03 07:22:38 - mmengine - INFO - Epoch(train) [240][1360/1879] lr: 1.3205e-03 eta: 4:23:00 time: 0.5004 data_time: 0.0320 memory: 18104 grad_norm: 7.2339 loss: 2.0875 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1582 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 0.9293 2023/02/03 07:22:49 - mmengine - INFO - Epoch(train) [240][1380/1879] lr: 1.3188e-03 eta: 4:22:50 time: 0.5270 data_time: 0.0474 memory: 18104 grad_norm: 7.3326 loss: 1.9570 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.0613 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.8958 2023/02/03 07:22:59 - mmengine - INFO - Epoch(train) [240][1400/1879] lr: 1.3171e-03 eta: 4:22:40 time: 0.5016 data_time: 0.0299 memory: 18104 grad_norm: 7.4733 loss: 2.1028 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.1925 top1_acc_1: 0.7176 top5_acc_1: 0.9647 loss_cls_1: 0.9102 2023/02/03 07:23:09 - mmengine - INFO - Epoch(train) [240][1420/1879] lr: 1.3154e-03 eta: 4:22:29 time: 0.5170 data_time: 0.0377 memory: 18104 grad_norm: 7.4715 loss: 2.0912 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.1355 top1_acc_1: 0.8353 top5_acc_1: 0.9647 loss_cls_1: 0.9557 2023/02/03 07:23:20 - mmengine - INFO - Epoch(train) [240][1440/1879] lr: 1.3137e-03 eta: 4:22:19 time: 0.5122 data_time: 0.0304 memory: 18104 grad_norm: 7.5051 loss: 2.2475 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.2914 top1_acc_1: 0.8471 top5_acc_1: 0.9412 loss_cls_1: 0.9561 2023/02/03 07:23:30 - mmengine - INFO - Epoch(train) [240][1460/1879] lr: 1.3119e-03 eta: 4:22:09 time: 0.5214 data_time: 0.0437 memory: 18104 grad_norm: 7.4143 loss: 2.0307 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0838 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 0.9470 2023/02/03 07:23:40 - mmengine - INFO - Epoch(train) [240][1480/1879] lr: 1.3102e-03 eta: 4:21:58 time: 0.5034 data_time: 0.0313 memory: 18104 grad_norm: 7.3875 loss: 2.0827 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.1425 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.9402 2023/02/03 07:23:50 - mmengine - INFO - Epoch(train) [240][1500/1879] lr: 1.3085e-03 eta: 4:21:48 time: 0.5146 data_time: 0.0356 memory: 18104 grad_norm: 7.5126 loss: 2.1562 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.2608 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.8954 2023/02/03 07:24:01 - mmengine - INFO - Epoch(train) [240][1520/1879] lr: 1.3068e-03 eta: 4:21:38 time: 0.5192 data_time: 0.0360 memory: 18104 grad_norm: 7.3991 loss: 1.9768 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.0684 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9084 2023/02/03 07:24:11 - mmengine - INFO - Epoch(train) [240][1540/1879] lr: 1.3051e-03 eta: 4:21:27 time: 0.5034 data_time: 0.0355 memory: 18104 grad_norm: 7.6461 loss: 2.0933 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1521 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 0.9412 2023/02/03 07:24:21 - mmengine - INFO - Epoch(train) [240][1560/1879] lr: 1.3034e-03 eta: 4:21:17 time: 0.5082 data_time: 0.0314 memory: 18104 grad_norm: 7.5125 loss: 2.1219 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1094 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 1.0125 2023/02/03 07:24:32 - mmengine - INFO - Epoch(train) [240][1580/1879] lr: 1.3017e-03 eta: 4:21:07 time: 0.5304 data_time: 0.0412 memory: 18104 grad_norm: 7.5553 loss: 2.2662 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2717 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9944 2023/02/03 07:24:42 - mmengine - INFO - Epoch(train) [240][1600/1879] lr: 1.3000e-03 eta: 4:20:56 time: 0.5031 data_time: 0.0321 memory: 18104 grad_norm: 7.4028 loss: 2.0057 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.0959 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.9097 2023/02/03 07:24:52 - mmengine - INFO - Epoch(train) [240][1620/1879] lr: 1.2983e-03 eta: 4:20:46 time: 0.4998 data_time: 0.0349 memory: 18104 grad_norm: 7.2318 loss: 2.2758 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.2648 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 1.0111 2023/02/03 07:25:02 - mmengine - INFO - Epoch(train) [240][1640/1879] lr: 1.2966e-03 eta: 4:20:35 time: 0.5057 data_time: 0.0335 memory: 18104 grad_norm: 7.4980 loss: 2.0191 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1275 top1_acc_1: 0.8706 top5_acc_1: 0.9882 loss_cls_1: 0.8916 2023/02/03 07:25:13 - mmengine - INFO - Epoch(train) [240][1660/1879] lr: 1.2949e-03 eta: 4:20:25 time: 0.5265 data_time: 0.0412 memory: 18104 grad_norm: 7.3392 loss: 2.2371 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2364 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 1.0007 2023/02/03 07:25:23 - mmengine - INFO - Epoch(train) [240][1680/1879] lr: 1.2932e-03 eta: 4:20:15 time: 0.5038 data_time: 0.0323 memory: 18104 grad_norm: 7.3506 loss: 2.1139 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1277 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.9862 2023/02/03 07:25:33 - mmengine - INFO - Epoch(train) [240][1700/1879] lr: 1.2915e-03 eta: 4:20:04 time: 0.5010 data_time: 0.0372 memory: 18104 grad_norm: 7.4301 loss: 2.0343 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1304 top1_acc_1: 0.7765 top5_acc_1: 0.9882 loss_cls_1: 0.9039 2023/02/03 07:25:43 - mmengine - INFO - Epoch(train) [240][1720/1879] lr: 1.2898e-03 eta: 4:19:54 time: 0.5256 data_time: 0.0390 memory: 18104 grad_norm: 7.4591 loss: 2.0240 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0714 top1_acc_1: 0.7176 top5_acc_1: 0.9412 loss_cls_1: 0.9526 2023/02/03 07:25:54 - mmengine - INFO - Epoch(train) [240][1740/1879] lr: 1.2881e-03 eta: 4:19:44 time: 0.5162 data_time: 0.0342 memory: 18104 grad_norm: 7.3622 loss: 2.0934 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1817 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9118 2023/02/03 07:26:04 - mmengine - INFO - Epoch(train) [240][1760/1879] lr: 1.2864e-03 eta: 4:19:33 time: 0.5041 data_time: 0.0334 memory: 18104 grad_norm: 7.4762 loss: 2.2001 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2881 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 0.9120 2023/02/03 07:26:14 - mmengine - INFO - Epoch(train) [240][1780/1879] lr: 1.2847e-03 eta: 4:19:23 time: 0.5249 data_time: 0.0470 memory: 18104 grad_norm: 7.4732 loss: 2.0298 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.0992 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.9306 2023/02/03 07:26:24 - mmengine - INFO - Epoch(train) [240][1800/1879] lr: 1.2830e-03 eta: 4:19:13 time: 0.5031 data_time: 0.0304 memory: 18104 grad_norm: 7.4305 loss: 2.1139 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.1382 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 0.9757 2023/02/03 07:26:35 - mmengine - INFO - Epoch(train) [240][1820/1879] lr: 1.2813e-03 eta: 4:19:02 time: 0.5082 data_time: 0.0358 memory: 18104 grad_norm: 7.4391 loss: 1.9887 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 0.9903 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9984 2023/02/03 07:26:45 - mmengine - INFO - Epoch(train) [240][1840/1879] lr: 1.2796e-03 eta: 4:18:52 time: 0.5022 data_time: 0.0396 memory: 18104 grad_norm: 7.3876 loss: 1.9678 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0516 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9162 2023/02/03 07:26:55 - mmengine - INFO - Epoch(train) [240][1860/1879] lr: 1.2779e-03 eta: 4:18:42 time: 0.5302 data_time: 0.0391 memory: 18104 grad_norm: 7.6360 loss: 2.2570 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.3013 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9557 2023/02/03 07:27:04 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 07:27:04 - mmengine - INFO - Epoch(train) [240][1879/1879] lr: 1.2763e-03 eta: 4:18:32 time: 0.4854 data_time: 0.0347 memory: 18104 grad_norm: 7.6992 loss: 2.2897 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 1.3288 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9609 2023/02/03 07:27:05 - mmengine - INFO - Saving checkpoint at 240 epochs 2023/02/03 07:27:16 - mmengine - INFO - Epoch(val) [240][ 20/155] eta: 0:01:01 time: 0.4555 data_time: 0.3431 memory: 1900 2023/02/03 07:27:25 - mmengine - INFO - Epoch(val) [240][ 40/155] eta: 0:00:51 time: 0.4425 data_time: 0.3313 memory: 1900 2023/02/03 07:27:33 - mmengine - INFO - Epoch(val) [240][ 60/155] eta: 0:00:41 time: 0.4256 data_time: 0.3149 memory: 1900 2023/02/03 07:27:43 - mmengine - INFO - Epoch(val) [240][ 80/155] eta: 0:00:33 time: 0.4612 data_time: 0.3498 memory: 1900 2023/02/03 07:27:51 - mmengine - INFO - Epoch(val) [240][100/155] eta: 0:00:24 time: 0.4406 data_time: 0.3300 memory: 1900 2023/02/03 07:28:01 - mmengine - INFO - Epoch(val) [240][120/155] eta: 0:00:15 time: 0.4593 data_time: 0.3487 memory: 1900 2023/02/03 07:28:09 - mmengine - INFO - Epoch(val) [240][140/155] eta: 0:00:06 time: 0.4439 data_time: 0.3330 memory: 1900 2023/02/03 07:28:17 - mmengine - INFO - Epoch(val) [240][155/155] acc/top1: 0.6991 acc/top5: 0.8881 acc/mean1: 0.6989 2023/02/03 07:28:17 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_236.pth is removed 2023/02/03 07:28:19 - mmengine - INFO - The best checkpoint with 0.6991 acc/top1 at 240 epoch is saved to best_acc/top1_epoch_240.pth. 2023/02/03 07:28:33 - mmengine - INFO - Epoch(train) [241][ 20/1879] lr: 1.2746e-03 eta: 4:18:22 time: 0.6964 data_time: 0.2343 memory: 18104 grad_norm: 7.3360 loss: 2.1146 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.1868 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 0.9278 2023/02/03 07:28:43 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 07:28:43 - mmengine - INFO - Epoch(train) [241][ 40/1879] lr: 1.2729e-03 eta: 4:18:12 time: 0.4730 data_time: 0.0318 memory: 18104 grad_norm: 7.4088 loss: 2.1103 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.1783 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9320 2023/02/03 07:28:53 - mmengine - INFO - Epoch(train) [241][ 60/1879] lr: 1.2712e-03 eta: 4:18:01 time: 0.5033 data_time: 0.0375 memory: 18104 grad_norm: 7.5156 loss: 2.0905 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1677 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 0.9228 2023/02/03 07:29:03 - mmengine - INFO - Epoch(train) [241][ 80/1879] lr: 1.2695e-03 eta: 4:17:51 time: 0.4902 data_time: 0.0444 memory: 18104 grad_norm: 7.2645 loss: 2.1524 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.2031 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.9494 2023/02/03 07:29:13 - mmengine - INFO - Epoch(train) [241][ 100/1879] lr: 1.2678e-03 eta: 4:17:41 time: 0.4886 data_time: 0.0376 memory: 18104 grad_norm: 7.3991 loss: 2.0070 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0671 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 0.9398 2023/02/03 07:29:22 - mmengine - INFO - Epoch(train) [241][ 120/1879] lr: 1.2662e-03 eta: 4:17:30 time: 0.4758 data_time: 0.0324 memory: 18104 grad_norm: 7.5391 loss: 2.1943 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2334 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.9609 2023/02/03 07:29:33 - mmengine - INFO - Epoch(train) [241][ 140/1879] lr: 1.2645e-03 eta: 4:17:20 time: 0.5332 data_time: 0.0441 memory: 18104 grad_norm: 7.5365 loss: 2.3270 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3300 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9969 2023/02/03 07:29:42 - mmengine - INFO - Epoch(train) [241][ 160/1879] lr: 1.2628e-03 eta: 4:17:09 time: 0.4740 data_time: 0.0329 memory: 18104 grad_norm: 7.4894 loss: 2.1658 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.2309 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9349 2023/02/03 07:29:52 - mmengine - INFO - Epoch(train) [241][ 180/1879] lr: 1.2611e-03 eta: 4:16:59 time: 0.4878 data_time: 0.0389 memory: 18104 grad_norm: 7.4811 loss: 2.0818 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1113 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9704 2023/02/03 07:30:02 - mmengine - INFO - Epoch(train) [241][ 200/1879] lr: 1.2594e-03 eta: 4:16:48 time: 0.4796 data_time: 0.0331 memory: 18104 grad_norm: 7.3602 loss: 2.1233 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2033 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9200 2023/02/03 07:30:12 - mmengine - INFO - Epoch(train) [241][ 220/1879] lr: 1.2577e-03 eta: 4:16:38 time: 0.5108 data_time: 0.0464 memory: 18104 grad_norm: 7.6112 loss: 2.3277 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.3975 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 0.9302 2023/02/03 07:30:22 - mmengine - INFO - Epoch(train) [241][ 240/1879] lr: 1.2561e-03 eta: 4:16:28 time: 0.4781 data_time: 0.0332 memory: 18104 grad_norm: 7.7835 loss: 2.1021 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1760 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.9261 2023/02/03 07:30:32 - mmengine - INFO - Epoch(train) [241][ 260/1879] lr: 1.2544e-03 eta: 4:16:17 time: 0.5007 data_time: 0.0383 memory: 18104 grad_norm: 7.3654 loss: 1.9417 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.0091 top1_acc_1: 0.8588 top5_acc_1: 0.9647 loss_cls_1: 0.9327 2023/02/03 07:30:41 - mmengine - INFO - Epoch(train) [241][ 280/1879] lr: 1.2527e-03 eta: 4:16:07 time: 0.4936 data_time: 0.0322 memory: 18104 grad_norm: 7.3023 loss: 2.1364 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2025 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9339 2023/02/03 07:30:52 - mmengine - INFO - Epoch(train) [241][ 300/1879] lr: 1.2510e-03 eta: 4:15:56 time: 0.5092 data_time: 0.0568 memory: 18104 grad_norm: 7.5099 loss: 2.1798 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2474 top1_acc_1: 0.7647 top5_acc_1: 0.8706 loss_cls_1: 0.9324 2023/02/03 07:31:01 - mmengine - INFO - Epoch(train) [241][ 320/1879] lr: 1.2494e-03 eta: 4:15:46 time: 0.4779 data_time: 0.0325 memory: 18104 grad_norm: 7.3893 loss: 2.1073 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.1823 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 0.9251 2023/02/03 07:31:11 - mmengine - INFO - Epoch(train) [241][ 340/1879] lr: 1.2477e-03 eta: 4:15:36 time: 0.5105 data_time: 0.0383 memory: 18104 grad_norm: 7.4343 loss: 2.0312 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.1049 top1_acc_1: 0.8000 top5_acc_1: 0.9765 loss_cls_1: 0.9263 2023/02/03 07:31:21 - mmengine - INFO - Epoch(train) [241][ 360/1879] lr: 1.2460e-03 eta: 4:15:25 time: 0.4740 data_time: 0.0330 memory: 18104 grad_norm: 7.6123 loss: 2.1061 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.2026 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9034 2023/02/03 07:31:31 - mmengine - INFO - Epoch(train) [241][ 380/1879] lr: 1.2444e-03 eta: 4:15:15 time: 0.5051 data_time: 0.0481 memory: 18104 grad_norm: 7.5166 loss: 2.1830 top1_acc_0: 0.5625 top5_acc_0: 1.0000 loss_cls_0: 1.2306 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9524 2023/02/03 07:31:41 - mmengine - INFO - Epoch(train) [241][ 400/1879] lr: 1.2427e-03 eta: 4:15:04 time: 0.4942 data_time: 0.0348 memory: 18104 grad_norm: 7.3549 loss: 2.2180 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3007 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 0.9174 2023/02/03 07:31:51 - mmengine - INFO - Epoch(train) [241][ 420/1879] lr: 1.2410e-03 eta: 4:14:54 time: 0.5006 data_time: 0.0372 memory: 18104 grad_norm: 7.4447 loss: 2.0801 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1547 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 0.9254 2023/02/03 07:32:01 - mmengine - INFO - Epoch(train) [241][ 440/1879] lr: 1.2394e-03 eta: 4:14:43 time: 0.4821 data_time: 0.0353 memory: 18104 grad_norm: 7.3579 loss: 2.2197 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2802 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 0.9395 2023/02/03 07:32:11 - mmengine - INFO - Epoch(train) [241][ 460/1879] lr: 1.2377e-03 eta: 4:14:33 time: 0.5149 data_time: 0.0451 memory: 18104 grad_norm: 7.2874 loss: 2.0910 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1143 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9766 2023/02/03 07:32:21 - mmengine - INFO - Epoch(train) [241][ 480/1879] lr: 1.2360e-03 eta: 4:14:23 time: 0.4868 data_time: 0.0338 memory: 18104 grad_norm: 7.3315 loss: 2.2878 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.3795 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 0.9083 2023/02/03 07:32:31 - mmengine - INFO - Epoch(train) [241][ 500/1879] lr: 1.2344e-03 eta: 4:14:12 time: 0.5074 data_time: 0.0377 memory: 18104 grad_norm: 7.3971 loss: 2.0847 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.1350 top1_acc_1: 0.7059 top5_acc_1: 0.8353 loss_cls_1: 0.9497 2023/02/03 07:32:41 - mmengine - INFO - Epoch(train) [241][ 520/1879] lr: 1.2327e-03 eta: 4:14:02 time: 0.4940 data_time: 0.0430 memory: 18104 grad_norm: 7.4800 loss: 2.1872 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.1916 top1_acc_1: 0.6706 top5_acc_1: 0.8824 loss_cls_1: 0.9956 2023/02/03 07:32:51 - mmengine - INFO - Epoch(train) [241][ 540/1879] lr: 1.2310e-03 eta: 4:13:51 time: 0.5225 data_time: 0.0358 memory: 18104 grad_norm: 7.4803 loss: 2.0322 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.0634 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9688 2023/02/03 07:33:01 - mmengine - INFO - Epoch(train) [241][ 560/1879] lr: 1.2294e-03 eta: 4:13:41 time: 0.4910 data_time: 0.0316 memory: 18104 grad_norm: 7.4911 loss: 1.9685 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0411 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 0.9275 2023/02/03 07:33:11 - mmengine - INFO - Epoch(train) [241][ 580/1879] lr: 1.2277e-03 eta: 4:13:31 time: 0.5051 data_time: 0.0360 memory: 18104 grad_norm: 7.3519 loss: 2.0567 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.1290 top1_acc_1: 0.6588 top5_acc_1: 0.9647 loss_cls_1: 0.9277 2023/02/03 07:33:22 - mmengine - INFO - Epoch(train) [241][ 600/1879] lr: 1.2261e-03 eta: 4:13:20 time: 0.5159 data_time: 0.0501 memory: 18104 grad_norm: 7.5708 loss: 2.0848 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1707 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 0.9141 2023/02/03 07:33:32 - mmengine - INFO - Epoch(train) [241][ 620/1879] lr: 1.2244e-03 eta: 4:13:10 time: 0.5068 data_time: 0.0363 memory: 18104 grad_norm: 7.4281 loss: 1.9441 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0552 top1_acc_1: 0.8588 top5_acc_1: 0.9529 loss_cls_1: 0.8890 2023/02/03 07:33:42 - mmengine - INFO - Epoch(train) [241][ 640/1879] lr: 1.2227e-03 eta: 4:13:00 time: 0.4974 data_time: 0.0347 memory: 18104 grad_norm: 7.4582 loss: 2.0749 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1810 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.8939 2023/02/03 07:33:53 - mmengine - INFO - Epoch(train) [241][ 660/1879] lr: 1.2211e-03 eta: 4:12:49 time: 0.5327 data_time: 0.0417 memory: 18104 grad_norm: 7.8008 loss: 2.2356 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2776 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 0.9579 2023/02/03 07:34:03 - mmengine - INFO - Epoch(train) [241][ 680/1879] lr: 1.2194e-03 eta: 4:12:39 time: 0.5005 data_time: 0.0362 memory: 18104 grad_norm: 7.3901 loss: 2.0935 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1566 top1_acc_1: 0.8000 top5_acc_1: 0.8941 loss_cls_1: 0.9369 2023/02/03 07:34:13 - mmengine - INFO - Epoch(train) [241][ 700/1879] lr: 1.2178e-03 eta: 4:12:29 time: 0.5214 data_time: 0.0302 memory: 18104 grad_norm: 7.4344 loss: 2.1515 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.2276 top1_acc_1: 0.8824 top5_acc_1: 0.9412 loss_cls_1: 0.9240 2023/02/03 07:34:24 - mmengine - INFO - Epoch(train) [241][ 720/1879] lr: 1.2161e-03 eta: 4:12:18 time: 0.5249 data_time: 0.0360 memory: 18104 grad_norm: 7.5413 loss: 2.0997 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1700 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9297 2023/02/03 07:34:34 - mmengine - INFO - Epoch(train) [241][ 740/1879] lr: 1.2145e-03 eta: 4:12:08 time: 0.5208 data_time: 0.0380 memory: 18104 grad_norm: 7.3478 loss: 2.1200 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2532 top1_acc_1: 0.8000 top5_acc_1: 0.8941 loss_cls_1: 0.8668 2023/02/03 07:34:44 - mmengine - INFO - Epoch(train) [241][ 760/1879] lr: 1.2128e-03 eta: 4:11:58 time: 0.4986 data_time: 0.0357 memory: 18104 grad_norm: 7.6085 loss: 2.1700 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2725 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.8975 2023/02/03 07:34:55 - mmengine - INFO - Epoch(train) [241][ 780/1879] lr: 1.2112e-03 eta: 4:11:47 time: 0.5320 data_time: 0.0350 memory: 18104 grad_norm: 7.3596 loss: 2.0748 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.1851 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 0.8897 2023/02/03 07:35:05 - mmengine - INFO - Epoch(train) [241][ 800/1879] lr: 1.2095e-03 eta: 4:11:37 time: 0.5044 data_time: 0.0401 memory: 18104 grad_norm: 7.4533 loss: 2.0098 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0578 top1_acc_1: 0.7529 top5_acc_1: 0.8588 loss_cls_1: 0.9520 2023/02/03 07:35:15 - mmengine - INFO - Epoch(train) [241][ 820/1879] lr: 1.2079e-03 eta: 4:11:27 time: 0.5181 data_time: 0.0287 memory: 18104 grad_norm: 7.6323 loss: 2.1631 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.2022 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 0.9609 2023/02/03 07:35:25 - mmengine - INFO - Epoch(train) [241][ 840/1879] lr: 1.2062e-03 eta: 4:11:16 time: 0.5076 data_time: 0.0361 memory: 18104 grad_norm: 7.3148 loss: 2.1546 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.3007 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.8539 2023/02/03 07:35:36 - mmengine - INFO - Epoch(train) [241][ 860/1879] lr: 1.2046e-03 eta: 4:11:06 time: 0.5334 data_time: 0.0363 memory: 18104 grad_norm: 7.4387 loss: 2.0859 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1260 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 0.9599 2023/02/03 07:35:46 - mmengine - INFO - Epoch(train) [241][ 880/1879] lr: 1.2030e-03 eta: 4:10:56 time: 0.5042 data_time: 0.0388 memory: 18104 grad_norm: 7.4434 loss: 2.1967 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.2584 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 0.9383 2023/02/03 07:35:57 - mmengine - INFO - Epoch(train) [241][ 900/1879] lr: 1.2013e-03 eta: 4:10:46 time: 0.5204 data_time: 0.0314 memory: 18104 grad_norm: 7.6936 loss: 2.1764 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1863 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.9901 2023/02/03 07:36:07 - mmengine - INFO - Epoch(train) [241][ 920/1879] lr: 1.1997e-03 eta: 4:10:35 time: 0.5322 data_time: 0.0439 memory: 18104 grad_norm: 7.5051 loss: 2.2976 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2890 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 1.0086 2023/02/03 07:36:17 - mmengine - INFO - Epoch(train) [241][ 940/1879] lr: 1.1980e-03 eta: 4:10:25 time: 0.5097 data_time: 0.0306 memory: 18104 grad_norm: 7.4493 loss: 2.2392 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3232 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.9161 2023/02/03 07:36:28 - mmengine - INFO - Epoch(train) [241][ 960/1879] lr: 1.1964e-03 eta: 4:10:15 time: 0.5164 data_time: 0.0345 memory: 18104 grad_norm: 7.6195 loss: 2.1954 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.2152 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.9801 2023/02/03 07:36:38 - mmengine - INFO - Epoch(train) [241][ 980/1879] lr: 1.1948e-03 eta: 4:10:04 time: 0.5207 data_time: 0.0302 memory: 18104 grad_norm: 7.3360 loss: 2.1077 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.1243 top1_acc_1: 0.7765 top5_acc_1: 0.9647 loss_cls_1: 0.9834 2023/02/03 07:36:49 - mmengine - INFO - Epoch(train) [241][1000/1879] lr: 1.1931e-03 eta: 4:09:54 time: 0.5154 data_time: 0.0441 memory: 18104 grad_norm: 7.3538 loss: 2.0783 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1751 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9032 2023/02/03 07:36:59 - mmengine - INFO - Epoch(train) [241][1020/1879] lr: 1.1915e-03 eta: 4:09:44 time: 0.5089 data_time: 0.0303 memory: 18104 grad_norm: 7.4625 loss: 2.0407 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.0809 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.9598 2023/02/03 07:37:09 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 07:37:09 - mmengine - INFO - Epoch(train) [241][1040/1879] lr: 1.1899e-03 eta: 4:09:33 time: 0.5310 data_time: 0.0348 memory: 18104 grad_norm: 7.4835 loss: 2.0767 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1852 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.8914 2023/02/03 07:37:20 - mmengine - INFO - Epoch(train) [241][1060/1879] lr: 1.1882e-03 eta: 4:09:23 time: 0.5172 data_time: 0.0360 memory: 18104 grad_norm: 7.7369 loss: 2.2147 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.2765 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9382 2023/02/03 07:37:30 - mmengine - INFO - Epoch(train) [241][1080/1879] lr: 1.1866e-03 eta: 4:09:13 time: 0.5047 data_time: 0.0352 memory: 18104 grad_norm: 7.4245 loss: 1.9928 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0993 top1_acc_1: 0.8235 top5_acc_1: 0.9059 loss_cls_1: 0.8935 2023/02/03 07:37:40 - mmengine - INFO - Epoch(train) [241][1100/1879] lr: 1.1850e-03 eta: 4:09:02 time: 0.5272 data_time: 0.0307 memory: 18104 grad_norm: 7.4891 loss: 2.1500 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.2541 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.8959 2023/02/03 07:37:51 - mmengine - INFO - Epoch(train) [241][1120/1879] lr: 1.1833e-03 eta: 4:08:52 time: 0.5362 data_time: 0.0427 memory: 18104 grad_norm: 7.4123 loss: 2.0223 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.1214 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 0.9009 2023/02/03 07:38:01 - mmengine - INFO - Epoch(train) [241][1140/1879] lr: 1.1817e-03 eta: 4:08:42 time: 0.5101 data_time: 0.0313 memory: 18104 grad_norm: 7.4020 loss: 1.9514 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0598 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 0.8916 2023/02/03 07:38:12 - mmengine - INFO - Epoch(train) [241][1160/1879] lr: 1.1801e-03 eta: 4:08:32 time: 0.5168 data_time: 0.0366 memory: 18104 grad_norm: 7.2566 loss: 2.0362 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.0275 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 1.0087 2023/02/03 07:38:23 - mmengine - INFO - Epoch(train) [241][1180/1879] lr: 1.1785e-03 eta: 4:08:21 time: 0.5392 data_time: 0.0371 memory: 18104 grad_norm: 7.1609 loss: 2.1170 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2359 top1_acc_1: 0.8353 top5_acc_1: 0.9059 loss_cls_1: 0.8810 2023/02/03 07:38:33 - mmengine - INFO - Epoch(train) [241][1200/1879] lr: 1.1768e-03 eta: 4:08:11 time: 0.5121 data_time: 0.0392 memory: 18104 grad_norm: 7.2810 loss: 1.8389 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 0.8936 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 0.9453 2023/02/03 07:38:43 - mmengine - INFO - Epoch(train) [241][1220/1879] lr: 1.1752e-03 eta: 4:08:01 time: 0.5097 data_time: 0.0303 memory: 18104 grad_norm: 7.2644 loss: 2.2084 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.2403 top1_acc_1: 0.8941 top5_acc_1: 0.9647 loss_cls_1: 0.9681 2023/02/03 07:38:54 - mmengine - INFO - Epoch(train) [241][1240/1879] lr: 1.1736e-03 eta: 4:07:50 time: 0.5290 data_time: 0.0418 memory: 18104 grad_norm: 7.4998 loss: 2.3069 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.3574 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.9495 2023/02/03 07:39:04 - mmengine - INFO - Epoch(train) [241][1260/1879] lr: 1.1720e-03 eta: 4:07:40 time: 0.5226 data_time: 0.0296 memory: 18104 grad_norm: 7.5785 loss: 2.1159 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1203 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.9956 2023/02/03 07:39:14 - mmengine - INFO - Epoch(train) [241][1280/1879] lr: 1.1703e-03 eta: 4:07:30 time: 0.5073 data_time: 0.0362 memory: 18104 grad_norm: 7.3558 loss: 2.2195 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2238 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 0.9957 2023/02/03 07:39:25 - mmengine - INFO - Epoch(train) [241][1300/1879] lr: 1.1687e-03 eta: 4:07:19 time: 0.5212 data_time: 0.0355 memory: 18104 grad_norm: 7.3917 loss: 2.1181 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1584 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9596 2023/02/03 07:39:36 - mmengine - INFO - Epoch(train) [241][1320/1879] lr: 1.1671e-03 eta: 4:07:09 time: 0.5420 data_time: 0.0364 memory: 18104 grad_norm: 7.4944 loss: 2.1839 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2052 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 0.9787 2023/02/03 07:39:46 - mmengine - INFO - Epoch(train) [241][1340/1879] lr: 1.1655e-03 eta: 4:06:59 time: 0.5169 data_time: 0.0310 memory: 18104 grad_norm: 7.5185 loss: 2.1287 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2355 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 0.8932 2023/02/03 07:39:57 - mmengine - INFO - Epoch(train) [241][1360/1879] lr: 1.1639e-03 eta: 4:06:49 time: 0.5297 data_time: 0.0452 memory: 18104 grad_norm: 7.5188 loss: 2.1194 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.1760 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9434 2023/02/03 07:40:08 - mmengine - INFO - Epoch(train) [241][1380/1879] lr: 1.1623e-03 eta: 4:06:39 time: 0.5493 data_time: 0.0297 memory: 18104 grad_norm: 7.2410 loss: 1.9208 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 0.9580 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9628 2023/02/03 07:40:18 - mmengine - INFO - Epoch(train) [241][1400/1879] lr: 1.1606e-03 eta: 4:06:28 time: 0.5215 data_time: 0.0357 memory: 18104 grad_norm: 7.3896 loss: 1.8915 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0354 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 0.8560 2023/02/03 07:40:29 - mmengine - INFO - Epoch(train) [241][1420/1879] lr: 1.1590e-03 eta: 4:06:18 time: 0.5221 data_time: 0.0330 memory: 18104 grad_norm: 7.4036 loss: 1.8841 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 0.9527 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9314 2023/02/03 07:40:39 - mmengine - INFO - Epoch(train) [241][1440/1879] lr: 1.1574e-03 eta: 4:06:08 time: 0.5283 data_time: 0.0349 memory: 18104 grad_norm: 7.4832 loss: 2.0614 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.1567 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.9047 2023/02/03 07:40:50 - mmengine - INFO - Epoch(train) [241][1460/1879] lr: 1.1558e-03 eta: 4:05:57 time: 0.5281 data_time: 0.0320 memory: 18104 grad_norm: 7.4658 loss: 2.0819 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1794 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9025 2023/02/03 07:41:00 - mmengine - INFO - Epoch(train) [241][1480/1879] lr: 1.1542e-03 eta: 4:05:47 time: 0.5240 data_time: 0.0374 memory: 18104 grad_norm: 7.4992 loss: 2.2020 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2496 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9524 2023/02/03 07:41:11 - mmengine - INFO - Epoch(train) [241][1500/1879] lr: 1.1526e-03 eta: 4:05:37 time: 0.5338 data_time: 0.0370 memory: 18104 grad_norm: 7.5340 loss: 2.0606 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1717 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 0.8889 2023/02/03 07:41:22 - mmengine - INFO - Epoch(train) [241][1520/1879] lr: 1.1510e-03 eta: 4:05:27 time: 0.5497 data_time: 0.0341 memory: 18104 grad_norm: 7.6236 loss: 2.3857 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3551 top1_acc_1: 0.7059 top5_acc_1: 0.9412 loss_cls_1: 1.0306 2023/02/03 07:41:33 - mmengine - INFO - Epoch(train) [241][1540/1879] lr: 1.1494e-03 eta: 4:05:16 time: 0.5277 data_time: 0.0318 memory: 18104 grad_norm: 7.5246 loss: 1.9632 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 0.9914 top1_acc_1: 0.8235 top5_acc_1: 0.9059 loss_cls_1: 0.9717 2023/02/03 07:41:43 - mmengine - INFO - Epoch(train) [241][1560/1879] lr: 1.1478e-03 eta: 4:05:06 time: 0.5472 data_time: 0.0371 memory: 18104 grad_norm: 7.5219 loss: 2.0711 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1688 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.9024 2023/02/03 07:41:54 - mmengine - INFO - Epoch(train) [241][1580/1879] lr: 1.1462e-03 eta: 4:04:56 time: 0.5410 data_time: 0.0392 memory: 18104 grad_norm: 7.4395 loss: 1.9921 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0540 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9381 2023/02/03 07:42:05 - mmengine - INFO - Epoch(train) [241][1600/1879] lr: 1.1446e-03 eta: 4:04:46 time: 0.5336 data_time: 0.0340 memory: 18104 grad_norm: 7.5294 loss: 2.1948 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.3159 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 0.8789 2023/02/03 07:42:16 - mmengine - INFO - Epoch(train) [241][1620/1879] lr: 1.1430e-03 eta: 4:04:36 time: 0.5255 data_time: 0.0319 memory: 18104 grad_norm: 7.5320 loss: 2.2463 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.3578 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.8885 2023/02/03 07:42:27 - mmengine - INFO - Epoch(train) [241][1640/1879] lr: 1.1414e-03 eta: 4:04:25 time: 0.5641 data_time: 0.0443 memory: 18104 grad_norm: 7.5633 loss: 2.0737 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.1418 top1_acc_1: 0.8235 top5_acc_1: 0.9647 loss_cls_1: 0.9319 2023/02/03 07:42:38 - mmengine - INFO - Epoch(train) [241][1660/1879] lr: 1.1398e-03 eta: 4:04:15 time: 0.5316 data_time: 0.0299 memory: 18104 grad_norm: 7.3687 loss: 1.8537 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 0.9350 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 0.9187 2023/02/03 07:42:48 - mmengine - INFO - Epoch(train) [241][1680/1879] lr: 1.1382e-03 eta: 4:04:05 time: 0.5143 data_time: 0.0358 memory: 18104 grad_norm: 7.7057 loss: 2.1370 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2345 top1_acc_1: 0.7882 top5_acc_1: 0.9647 loss_cls_1: 0.9025 2023/02/03 07:42:59 - mmengine - INFO - Epoch(train) [241][1700/1879] lr: 1.1366e-03 eta: 4:03:55 time: 0.5483 data_time: 0.0358 memory: 18104 grad_norm: 7.5732 loss: 2.1695 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2354 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.9341 2023/02/03 07:43:10 - mmengine - INFO - Epoch(train) [241][1720/1879] lr: 1.1350e-03 eta: 4:03:44 time: 0.5421 data_time: 0.0304 memory: 18104 grad_norm: 7.4563 loss: 2.3428 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3787 top1_acc_1: 0.8824 top5_acc_1: 0.9647 loss_cls_1: 0.9641 2023/02/03 07:43:20 - mmengine - INFO - Epoch(train) [241][1740/1879] lr: 1.1334e-03 eta: 4:03:34 time: 0.5272 data_time: 0.0377 memory: 18104 grad_norm: 7.4739 loss: 2.0683 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2061 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.8623 2023/02/03 07:43:31 - mmengine - INFO - Epoch(train) [241][1760/1879] lr: 1.1318e-03 eta: 4:03:24 time: 0.5199 data_time: 0.0318 memory: 18104 grad_norm: 7.5384 loss: 1.9812 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.0352 top1_acc_1: 0.8588 top5_acc_1: 0.9529 loss_cls_1: 0.9460 2023/02/03 07:43:41 - mmengine - INFO - Epoch(train) [241][1780/1879] lr: 1.1302e-03 eta: 4:03:14 time: 0.5263 data_time: 0.0381 memory: 18104 grad_norm: 7.6659 loss: 2.0897 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.1394 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 0.9502 2023/02/03 07:43:52 - mmengine - INFO - Epoch(train) [241][1800/1879] lr: 1.1286e-03 eta: 4:03:03 time: 0.5209 data_time: 0.0318 memory: 18104 grad_norm: 7.3949 loss: 2.1177 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.2125 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.9052 2023/02/03 07:44:02 - mmengine - INFO - Epoch(train) [241][1820/1879] lr: 1.1270e-03 eta: 4:02:53 time: 0.5164 data_time: 0.0389 memory: 18104 grad_norm: 7.4047 loss: 2.1373 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2931 top1_acc_1: 0.8471 top5_acc_1: 0.9765 loss_cls_1: 0.8442 2023/02/03 07:44:12 - mmengine - INFO - Epoch(train) [241][1840/1879] lr: 1.1254e-03 eta: 4:02:43 time: 0.5222 data_time: 0.0368 memory: 18104 grad_norm: 7.4721 loss: 2.1265 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1963 top1_acc_1: 0.7529 top5_acc_1: 0.8471 loss_cls_1: 0.9301 2023/02/03 07:44:23 - mmengine - INFO - Epoch(train) [241][1860/1879] lr: 1.1238e-03 eta: 4:02:32 time: 0.5144 data_time: 0.0382 memory: 18104 grad_norm: 7.3128 loss: 2.0438 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1719 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.8719 2023/02/03 07:44:32 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 07:44:32 - mmengine - INFO - Epoch(train) [241][1879/1879] lr: 1.1223e-03 eta: 4:02:22 time: 0.4835 data_time: 0.0296 memory: 18104 grad_norm: 7.6001 loss: 1.9850 top1_acc_0: 0.7143 top5_acc_0: 1.0000 loss_cls_0: 1.1026 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.8824 2023/02/03 07:44:47 - mmengine - INFO - Epoch(train) [242][ 20/1879] lr: 1.1207e-03 eta: 4:02:13 time: 0.7377 data_time: 0.2618 memory: 18104 grad_norm: 7.6288 loss: 2.1977 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2225 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9751 2023/02/03 07:44:57 - mmengine - INFO - Epoch(train) [242][ 40/1879] lr: 1.1191e-03 eta: 4:02:03 time: 0.4710 data_time: 0.0332 memory: 18104 grad_norm: 7.4602 loss: 2.0476 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0723 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9754 2023/02/03 07:45:07 - mmengine - INFO - Epoch(train) [242][ 60/1879] lr: 1.1176e-03 eta: 4:01:52 time: 0.5004 data_time: 0.0376 memory: 18104 grad_norm: 7.4229 loss: 2.2479 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.2177 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 1.0302 2023/02/03 07:45:17 - mmengine - INFO - Epoch(train) [242][ 80/1879] lr: 1.1160e-03 eta: 4:01:42 time: 0.5096 data_time: 0.0471 memory: 18104 grad_norm: 7.3885 loss: 2.0409 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1213 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 0.9196 2023/02/03 07:45:27 - mmengine - INFO - Epoch(train) [242][ 100/1879] lr: 1.1144e-03 eta: 4:01:31 time: 0.4868 data_time: 0.0379 memory: 18104 grad_norm: 7.5282 loss: 1.9786 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.0073 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 0.9713 2023/02/03 07:45:36 - mmengine - INFO - Epoch(train) [242][ 120/1879] lr: 1.1128e-03 eta: 4:01:21 time: 0.4734 data_time: 0.0326 memory: 18104 grad_norm: 7.4950 loss: 2.1601 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2550 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9051 2023/02/03 07:45:47 - mmengine - INFO - Epoch(train) [242][ 140/1879] lr: 1.1112e-03 eta: 4:01:11 time: 0.5174 data_time: 0.0450 memory: 18104 grad_norm: 7.4518 loss: 1.9482 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0671 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.8811 2023/02/03 07:45:57 - mmengine - INFO - Epoch(train) [242][ 160/1879] lr: 1.1097e-03 eta: 4:01:00 time: 0.4854 data_time: 0.0343 memory: 18104 grad_norm: 7.6717 loss: 2.0815 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1711 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9104 2023/02/03 07:45:57 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 07:46:06 - mmengine - INFO - Epoch(train) [242][ 180/1879] lr: 1.1081e-03 eta: 4:00:50 time: 0.4902 data_time: 0.0389 memory: 18104 grad_norm: 7.5497 loss: 2.1355 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2165 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.9189 2023/02/03 07:46:17 - mmengine - INFO - Epoch(train) [242][ 200/1879] lr: 1.1065e-03 eta: 4:00:39 time: 0.5079 data_time: 0.0335 memory: 18104 grad_norm: 7.3084 loss: 2.1519 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.1480 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 1.0039 2023/02/03 07:46:27 - mmengine - INFO - Epoch(train) [242][ 220/1879] lr: 1.1049e-03 eta: 4:00:29 time: 0.5075 data_time: 0.0428 memory: 18104 grad_norm: 7.5024 loss: 2.0025 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.0856 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9168 2023/02/03 07:46:37 - mmengine - INFO - Epoch(train) [242][ 240/1879] lr: 1.1034e-03 eta: 4:00:19 time: 0.4927 data_time: 0.0321 memory: 18104 grad_norm: 7.2976 loss: 1.9689 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0817 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.8872 2023/02/03 07:46:47 - mmengine - INFO - Epoch(train) [242][ 260/1879] lr: 1.1018e-03 eta: 4:00:08 time: 0.5039 data_time: 0.0381 memory: 18104 grad_norm: 7.4002 loss: 2.0190 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.0504 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 0.9687 2023/02/03 07:46:57 - mmengine - INFO - Epoch(train) [242][ 280/1879] lr: 1.1002e-03 eta: 3:59:58 time: 0.4987 data_time: 0.0350 memory: 18104 grad_norm: 7.5937 loss: 2.1954 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2665 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 0.9289 2023/02/03 07:47:07 - mmengine - INFO - Epoch(train) [242][ 300/1879] lr: 1.0986e-03 eta: 3:59:47 time: 0.4996 data_time: 0.0433 memory: 18104 grad_norm: 7.3821 loss: 1.9479 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 0.9471 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 1.0008 2023/02/03 07:47:17 - mmengine - INFO - Epoch(train) [242][ 320/1879] lr: 1.0971e-03 eta: 3:59:37 time: 0.5046 data_time: 0.0326 memory: 18104 grad_norm: 7.4415 loss: 2.1799 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1997 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.9802 2023/02/03 07:47:27 - mmengine - INFO - Epoch(train) [242][ 340/1879] lr: 1.0955e-03 eta: 3:59:27 time: 0.5018 data_time: 0.0355 memory: 18104 grad_norm: 7.4314 loss: 2.0296 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.1578 top1_acc_1: 0.7882 top5_acc_1: 0.9647 loss_cls_1: 0.8717 2023/02/03 07:47:37 - mmengine - INFO - Epoch(train) [242][ 360/1879] lr: 1.0939e-03 eta: 3:59:16 time: 0.4988 data_time: 0.0400 memory: 18104 grad_norm: 7.1675 loss: 1.7540 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 0.8534 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.9006 2023/02/03 07:47:47 - mmengine - INFO - Epoch(train) [242][ 380/1879] lr: 1.0924e-03 eta: 3:59:06 time: 0.4883 data_time: 0.0354 memory: 18104 grad_norm: 7.5120 loss: 2.1583 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1928 top1_acc_1: 0.7176 top5_acc_1: 0.9529 loss_cls_1: 0.9656 2023/02/03 07:47:57 - mmengine - INFO - Epoch(train) [242][ 400/1879] lr: 1.0908e-03 eta: 3:58:55 time: 0.5051 data_time: 0.0314 memory: 18104 grad_norm: 7.7719 loss: 2.1105 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.0902 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 1.0203 2023/02/03 07:48:07 - mmengine - INFO - Epoch(train) [242][ 420/1879] lr: 1.0892e-03 eta: 3:58:45 time: 0.5007 data_time: 0.0348 memory: 18104 grad_norm: 7.5485 loss: 2.1658 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2113 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9545 2023/02/03 07:48:17 - mmengine - INFO - Epoch(train) [242][ 440/1879] lr: 1.0877e-03 eta: 3:58:35 time: 0.4944 data_time: 0.0317 memory: 18104 grad_norm: 7.3837 loss: 2.1434 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1791 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9642 2023/02/03 07:48:27 - mmengine - INFO - Epoch(train) [242][ 460/1879] lr: 1.0861e-03 eta: 3:58:24 time: 0.5078 data_time: 0.0370 memory: 18104 grad_norm: 7.4436 loss: 2.0985 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1756 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9229 2023/02/03 07:48:37 - mmengine - INFO - Epoch(train) [242][ 480/1879] lr: 1.0846e-03 eta: 3:58:14 time: 0.5001 data_time: 0.0345 memory: 18104 grad_norm: 7.6626 loss: 2.1938 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2647 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 0.9291 2023/02/03 07:48:47 - mmengine - INFO - Epoch(train) [242][ 500/1879] lr: 1.0830e-03 eta: 3:58:04 time: 0.5039 data_time: 0.0439 memory: 18104 grad_norm: 7.6529 loss: 1.9429 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 0.9775 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9654 2023/02/03 07:48:57 - mmengine - INFO - Epoch(train) [242][ 520/1879] lr: 1.0814e-03 eta: 3:57:53 time: 0.5071 data_time: 0.0329 memory: 18104 grad_norm: 7.4065 loss: 1.8846 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 0.9982 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.8864 2023/02/03 07:49:07 - mmengine - INFO - Epoch(train) [242][ 540/1879] lr: 1.0799e-03 eta: 3:57:43 time: 0.5011 data_time: 0.0351 memory: 18104 grad_norm: 7.6407 loss: 1.9787 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0043 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.9744 2023/02/03 07:49:17 - mmengine - INFO - Epoch(train) [242][ 560/1879] lr: 1.0783e-03 eta: 3:57:32 time: 0.5075 data_time: 0.0325 memory: 18104 grad_norm: 7.4218 loss: 2.1983 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2906 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9078 2023/02/03 07:49:28 - mmengine - INFO - Epoch(train) [242][ 580/1879] lr: 1.0768e-03 eta: 3:57:22 time: 0.5162 data_time: 0.0408 memory: 18104 grad_norm: 7.3494 loss: 2.1300 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.2407 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.8893 2023/02/03 07:49:38 - mmengine - INFO - Epoch(train) [242][ 600/1879] lr: 1.0752e-03 eta: 3:57:12 time: 0.5026 data_time: 0.0349 memory: 18104 grad_norm: 7.3612 loss: 1.8665 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 0.9450 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9215 2023/02/03 07:49:48 - mmengine - INFO - Epoch(train) [242][ 620/1879] lr: 1.0737e-03 eta: 3:57:01 time: 0.5178 data_time: 0.0378 memory: 18104 grad_norm: 7.4656 loss: 2.1105 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1560 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 0.9544 2023/02/03 07:49:58 - mmengine - INFO - Epoch(train) [242][ 640/1879] lr: 1.0721e-03 eta: 3:56:51 time: 0.5039 data_time: 0.0319 memory: 18104 grad_norm: 7.1844 loss: 1.8429 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 0.8388 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 1.0041 2023/02/03 07:50:09 - mmengine - INFO - Epoch(train) [242][ 660/1879] lr: 1.0706e-03 eta: 3:56:41 time: 0.5106 data_time: 0.0368 memory: 18104 grad_norm: 7.4871 loss: 2.2674 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3328 top1_acc_1: 0.8353 top5_acc_1: 0.9765 loss_cls_1: 0.9346 2023/02/03 07:50:19 - mmengine - INFO - Epoch(train) [242][ 680/1879] lr: 1.0690e-03 eta: 3:56:30 time: 0.5116 data_time: 0.0329 memory: 18104 grad_norm: 7.5598 loss: 2.1550 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.2232 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 0.9318 2023/02/03 07:50:29 - mmengine - INFO - Epoch(train) [242][ 700/1879] lr: 1.0675e-03 eta: 3:56:20 time: 0.5089 data_time: 0.0369 memory: 18104 grad_norm: 7.5581 loss: 2.1712 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 1.2161 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 0.9551 2023/02/03 07:50:39 - mmengine - INFO - Epoch(train) [242][ 720/1879] lr: 1.0659e-03 eta: 3:56:10 time: 0.5113 data_time: 0.0338 memory: 18104 grad_norm: 7.6830 loss: 1.9149 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.0333 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.8816 2023/02/03 07:50:50 - mmengine - INFO - Epoch(train) [242][ 740/1879] lr: 1.0644e-03 eta: 3:55:59 time: 0.5105 data_time: 0.0366 memory: 18104 grad_norm: 7.5697 loss: 2.0353 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1258 top1_acc_1: 0.7294 top5_acc_1: 0.9647 loss_cls_1: 0.9095 2023/02/03 07:51:00 - mmengine - INFO - Epoch(train) [242][ 760/1879] lr: 1.0628e-03 eta: 3:55:49 time: 0.5026 data_time: 0.0324 memory: 18104 grad_norm: 7.3820 loss: 2.2701 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3321 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.9381 2023/02/03 07:51:10 - mmengine - INFO - Epoch(train) [242][ 780/1879] lr: 1.0613e-03 eta: 3:55:39 time: 0.5022 data_time: 0.0361 memory: 18104 grad_norm: 7.6153 loss: 2.2684 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.2917 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.9767 2023/02/03 07:51:20 - mmengine - INFO - Epoch(train) [242][ 800/1879] lr: 1.0597e-03 eta: 3:55:28 time: 0.5204 data_time: 0.0375 memory: 18104 grad_norm: 7.5715 loss: 2.2622 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.3200 top1_acc_1: 0.8941 top5_acc_1: 0.9765 loss_cls_1: 0.9422 2023/02/03 07:51:30 - mmengine - INFO - Epoch(train) [242][ 820/1879] lr: 1.0582e-03 eta: 3:55:18 time: 0.5073 data_time: 0.0368 memory: 18104 grad_norm: 7.6117 loss: 2.1041 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1485 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 0.9556 2023/02/03 07:51:41 - mmengine - INFO - Epoch(train) [242][ 840/1879] lr: 1.0567e-03 eta: 3:55:08 time: 0.5106 data_time: 0.0312 memory: 18104 grad_norm: 7.3584 loss: 2.0299 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.0892 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 0.9408 2023/02/03 07:51:51 - mmengine - INFO - Epoch(train) [242][ 860/1879] lr: 1.0551e-03 eta: 3:54:57 time: 0.5153 data_time: 0.0416 memory: 18104 grad_norm: 7.4703 loss: 1.9466 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0668 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.8798 2023/02/03 07:52:01 - mmengine - INFO - Epoch(train) [242][ 880/1879] lr: 1.0536e-03 eta: 3:54:47 time: 0.5139 data_time: 0.0307 memory: 18104 grad_norm: 7.4081 loss: 2.1672 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2675 top1_acc_1: 0.8471 top5_acc_1: 0.9412 loss_cls_1: 0.8996 2023/02/03 07:52:11 - mmengine - INFO - Epoch(train) [242][ 900/1879] lr: 1.0520e-03 eta: 3:54:37 time: 0.5067 data_time: 0.0355 memory: 18104 grad_norm: 7.5646 loss: 2.1143 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1888 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9254 2023/02/03 07:52:22 - mmengine - INFO - Epoch(train) [242][ 920/1879] lr: 1.0505e-03 eta: 3:54:26 time: 0.5232 data_time: 0.0304 memory: 18104 grad_norm: 7.3488 loss: 2.1610 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.1737 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.9873 2023/02/03 07:52:32 - mmengine - INFO - Epoch(train) [242][ 940/1879] lr: 1.0490e-03 eta: 3:54:16 time: 0.5133 data_time: 0.0392 memory: 18104 grad_norm: 7.4950 loss: 2.1125 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.1935 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.9190 2023/02/03 07:52:42 - mmengine - INFO - Epoch(train) [242][ 960/1879] lr: 1.0474e-03 eta: 3:54:06 time: 0.5118 data_time: 0.0331 memory: 18104 grad_norm: 7.8019 loss: 2.0006 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0489 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 0.9517 2023/02/03 07:52:53 - mmengine - INFO - Epoch(train) [242][ 980/1879] lr: 1.0459e-03 eta: 3:53:55 time: 0.5162 data_time: 0.0368 memory: 18104 grad_norm: 7.5034 loss: 1.9165 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0081 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.9084 2023/02/03 07:53:03 - mmengine - INFO - Epoch(train) [242][1000/1879] lr: 1.0444e-03 eta: 3:53:45 time: 0.5235 data_time: 0.0322 memory: 18104 grad_norm: 7.4050 loss: 2.0482 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.1469 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 0.9013 2023/02/03 07:53:14 - mmengine - INFO - Epoch(train) [242][1020/1879] lr: 1.0428e-03 eta: 3:53:35 time: 0.5307 data_time: 0.0427 memory: 18104 grad_norm: 7.4513 loss: 1.9821 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0496 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9326 2023/02/03 07:53:24 - mmengine - INFO - Epoch(train) [242][1040/1879] lr: 1.0413e-03 eta: 3:53:25 time: 0.5177 data_time: 0.0330 memory: 18104 grad_norm: 7.6149 loss: 2.2290 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.3291 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.8998 2023/02/03 07:53:34 - mmengine - INFO - Epoch(train) [242][1060/1879] lr: 1.0398e-03 eta: 3:53:14 time: 0.5067 data_time: 0.0347 memory: 18104 grad_norm: 7.5378 loss: 2.0857 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1031 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 0.9826 2023/02/03 07:53:45 - mmengine - INFO - Epoch(train) [242][1080/1879] lr: 1.0383e-03 eta: 3:53:04 time: 0.5177 data_time: 0.0310 memory: 18104 grad_norm: 7.5275 loss: 2.1901 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2438 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9463 2023/02/03 07:53:55 - mmengine - INFO - Epoch(train) [242][1100/1879] lr: 1.0367e-03 eta: 3:52:53 time: 0.5091 data_time: 0.0363 memory: 18104 grad_norm: 7.8494 loss: 2.1691 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.2463 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 0.9229 2023/02/03 07:54:05 - mmengine - INFO - Epoch(train) [242][1120/1879] lr: 1.0352e-03 eta: 3:52:43 time: 0.5226 data_time: 0.0331 memory: 18104 grad_norm: 7.5614 loss: 1.8509 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 0.9300 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.9208 2023/02/03 07:54:16 - mmengine - INFO - Epoch(train) [242][1140/1879] lr: 1.0337e-03 eta: 3:52:33 time: 0.5161 data_time: 0.0360 memory: 18104 grad_norm: 7.6278 loss: 2.1699 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2914 top1_acc_1: 0.7059 top5_acc_1: 0.9412 loss_cls_1: 0.8784 2023/02/03 07:54:26 - mmengine - INFO - Epoch(train) [242][1160/1879] lr: 1.0322e-03 eta: 3:52:23 time: 0.5096 data_time: 0.0393 memory: 18104 grad_norm: 7.5318 loss: 2.1038 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1204 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9834 2023/02/03 07:54:26 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 07:54:36 - mmengine - INFO - Epoch(train) [242][1180/1879] lr: 1.0306e-03 eta: 3:52:12 time: 0.5177 data_time: 0.0347 memory: 18104 grad_norm: 7.4242 loss: 2.1609 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2749 top1_acc_1: 0.8471 top5_acc_1: 0.9765 loss_cls_1: 0.8860 2023/02/03 07:54:47 - mmengine - INFO - Epoch(train) [242][1200/1879] lr: 1.0291e-03 eta: 3:52:02 time: 0.5100 data_time: 0.0313 memory: 18104 grad_norm: 7.6623 loss: 2.2190 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2481 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 0.9709 2023/02/03 07:54:57 - mmengine - INFO - Epoch(train) [242][1220/1879] lr: 1.0276e-03 eta: 3:51:52 time: 0.5176 data_time: 0.0365 memory: 18104 grad_norm: 7.3719 loss: 2.0429 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0635 top1_acc_1: 0.7529 top5_acc_1: 0.8588 loss_cls_1: 0.9794 2023/02/03 07:55:07 - mmengine - INFO - Epoch(train) [242][1240/1879] lr: 1.0261e-03 eta: 3:51:41 time: 0.5112 data_time: 0.0335 memory: 18104 grad_norm: 7.4165 loss: 1.9954 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.0424 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 0.9530 2023/02/03 07:55:18 - mmengine - INFO - Epoch(train) [242][1260/1879] lr: 1.0246e-03 eta: 3:51:31 time: 0.5216 data_time: 0.0382 memory: 18104 grad_norm: 7.5740 loss: 2.1901 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2063 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9839 2023/02/03 07:55:28 - mmengine - INFO - Epoch(train) [242][1280/1879] lr: 1.0230e-03 eta: 3:51:21 time: 0.5142 data_time: 0.0314 memory: 18104 grad_norm: 7.6590 loss: 2.0866 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1686 top1_acc_1: 0.7294 top5_acc_1: 0.9529 loss_cls_1: 0.9180 2023/02/03 07:55:38 - mmengine - INFO - Epoch(train) [242][1300/1879] lr: 1.0215e-03 eta: 3:51:10 time: 0.5179 data_time: 0.0433 memory: 18104 grad_norm: 7.5317 loss: 2.2617 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3478 top1_acc_1: 0.7765 top5_acc_1: 0.9647 loss_cls_1: 0.9139 2023/02/03 07:55:49 - mmengine - INFO - Epoch(train) [242][1320/1879] lr: 1.0200e-03 eta: 3:51:00 time: 0.5180 data_time: 0.0282 memory: 18104 grad_norm: 7.3797 loss: 1.9784 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 0.9574 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 1.0210 2023/02/03 07:55:59 - mmengine - INFO - Epoch(train) [242][1340/1879] lr: 1.0185e-03 eta: 3:50:50 time: 0.5324 data_time: 0.0362 memory: 18104 grad_norm: 7.3314 loss: 2.2495 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3151 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9344 2023/02/03 07:56:10 - mmengine - INFO - Epoch(train) [242][1360/1879] lr: 1.0170e-03 eta: 3:50:39 time: 0.5157 data_time: 0.0293 memory: 18104 grad_norm: 7.5416 loss: 2.1287 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1358 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 0.9929 2023/02/03 07:56:20 - mmengine - INFO - Epoch(train) [242][1380/1879] lr: 1.0155e-03 eta: 3:50:29 time: 0.5329 data_time: 0.0372 memory: 18104 grad_norm: 7.4481 loss: 2.1091 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1450 top1_acc_1: 0.7647 top5_acc_1: 0.8588 loss_cls_1: 0.9641 2023/02/03 07:56:31 - mmengine - INFO - Epoch(train) [242][1400/1879] lr: 1.0140e-03 eta: 3:50:19 time: 0.5242 data_time: 0.0288 memory: 18104 grad_norm: 7.2744 loss: 2.1691 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.2364 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 0.9327 2023/02/03 07:56:42 - mmengine - INFO - Epoch(train) [242][1420/1879] lr: 1.0125e-03 eta: 3:50:09 time: 0.5346 data_time: 0.0360 memory: 18104 grad_norm: 7.5999 loss: 2.0106 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.1198 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.8908 2023/02/03 07:56:52 - mmengine - INFO - Epoch(train) [242][1440/1879] lr: 1.0109e-03 eta: 3:49:58 time: 0.5134 data_time: 0.0294 memory: 18104 grad_norm: 7.5337 loss: 2.2291 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2255 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 1.0036 2023/02/03 07:57:02 - mmengine - INFO - Epoch(train) [242][1460/1879] lr: 1.0094e-03 eta: 3:49:48 time: 0.5119 data_time: 0.0380 memory: 18104 grad_norm: 7.4616 loss: 2.0691 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.1565 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.9127 2023/02/03 07:57:13 - mmengine - INFO - Epoch(train) [242][1480/1879] lr: 1.0079e-03 eta: 3:49:38 time: 0.5313 data_time: 0.0297 memory: 18104 grad_norm: 7.7535 loss: 2.1688 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2701 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.8988 2023/02/03 07:57:23 - mmengine - INFO - Epoch(train) [242][1500/1879] lr: 1.0064e-03 eta: 3:49:27 time: 0.5141 data_time: 0.0414 memory: 18104 grad_norm: 7.6519 loss: 2.2472 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2932 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9541 2023/02/03 07:57:34 - mmengine - INFO - Epoch(train) [242][1520/1879] lr: 1.0049e-03 eta: 3:49:17 time: 0.5203 data_time: 0.0307 memory: 18104 grad_norm: 7.5565 loss: 2.0429 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0878 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 0.9551 2023/02/03 07:57:44 - mmengine - INFO - Epoch(train) [242][1540/1879] lr: 1.0034e-03 eta: 3:49:07 time: 0.5144 data_time: 0.0396 memory: 18104 grad_norm: 7.5408 loss: 2.2501 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2862 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 0.9638 2023/02/03 07:57:54 - mmengine - INFO - Epoch(train) [242][1560/1879] lr: 1.0019e-03 eta: 3:48:56 time: 0.5155 data_time: 0.0377 memory: 18104 grad_norm: 7.4017 loss: 2.0038 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0711 top1_acc_1: 0.8588 top5_acc_1: 0.9647 loss_cls_1: 0.9328 2023/02/03 07:58:05 - mmengine - INFO - Epoch(train) [242][1580/1879] lr: 1.0004e-03 eta: 3:48:46 time: 0.5173 data_time: 0.0389 memory: 18104 grad_norm: 7.3982 loss: 2.0014 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.0803 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9211 2023/02/03 07:58:15 - mmengine - INFO - Epoch(train) [242][1600/1879] lr: 9.9893e-04 eta: 3:48:36 time: 0.5011 data_time: 0.0305 memory: 18104 grad_norm: 7.5623 loss: 1.9657 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0979 top1_acc_1: 0.8471 top5_acc_1: 0.9059 loss_cls_1: 0.8678 2023/02/03 07:58:25 - mmengine - INFO - Epoch(train) [242][1620/1879] lr: 9.9743e-04 eta: 3:48:25 time: 0.5147 data_time: 0.0387 memory: 18104 grad_norm: 7.4805 loss: 2.0114 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.0826 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.9288 2023/02/03 07:58:35 - mmengine - INFO - Epoch(train) [242][1640/1879] lr: 9.9594e-04 eta: 3:48:15 time: 0.5122 data_time: 0.0353 memory: 18104 grad_norm: 7.6064 loss: 2.1626 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2179 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 0.9447 2023/02/03 07:58:45 - mmengine - INFO - Epoch(train) [242][1660/1879] lr: 9.9444e-04 eta: 3:48:05 time: 0.5123 data_time: 0.0369 memory: 18104 grad_norm: 7.5991 loss: 2.1527 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2495 top1_acc_1: 0.8588 top5_acc_1: 0.9176 loss_cls_1: 0.9032 2023/02/03 07:58:56 - mmengine - INFO - Epoch(train) [242][1680/1879] lr: 9.9295e-04 eta: 3:47:54 time: 0.5155 data_time: 0.0298 memory: 18104 grad_norm: 7.2924 loss: 1.9695 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0483 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 0.9212 2023/02/03 07:59:06 - mmengine - INFO - Epoch(train) [242][1700/1879] lr: 9.9145e-04 eta: 3:47:44 time: 0.5157 data_time: 0.0453 memory: 18104 grad_norm: 7.4105 loss: 1.9651 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1157 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.8494 2023/02/03 07:59:16 - mmengine - INFO - Epoch(train) [242][1720/1879] lr: 9.8996e-04 eta: 3:47:34 time: 0.5131 data_time: 0.0294 memory: 18104 grad_norm: 7.5624 loss: 2.0042 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.0372 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9670 2023/02/03 07:59:27 - mmengine - INFO - Epoch(train) [242][1740/1879] lr: 9.8847e-04 eta: 3:47:23 time: 0.5170 data_time: 0.0384 memory: 18104 grad_norm: 7.3906 loss: 2.1926 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2184 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9742 2023/02/03 07:59:37 - mmengine - INFO - Epoch(train) [242][1760/1879] lr: 9.8698e-04 eta: 3:47:13 time: 0.5173 data_time: 0.0354 memory: 18104 grad_norm: 7.2225 loss: 2.0437 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.0876 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 0.9561 2023/02/03 07:59:48 - mmengine - INFO - Epoch(train) [242][1780/1879] lr: 9.8549e-04 eta: 3:47:03 time: 0.5381 data_time: 0.0374 memory: 18104 grad_norm: 7.4704 loss: 2.2126 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2642 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 0.9484 2023/02/03 07:59:58 - mmengine - INFO - Epoch(train) [242][1800/1879] lr: 9.8401e-04 eta: 3:46:53 time: 0.5072 data_time: 0.0306 memory: 18104 grad_norm: 7.4485 loss: 2.1578 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1717 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9861 2023/02/03 08:00:08 - mmengine - INFO - Epoch(train) [242][1820/1879] lr: 9.8252e-04 eta: 3:46:42 time: 0.5120 data_time: 0.0365 memory: 18104 grad_norm: 7.3244 loss: 2.0457 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.0754 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9703 2023/02/03 08:00:19 - mmengine - INFO - Epoch(train) [242][1840/1879] lr: 9.8103e-04 eta: 3:46:32 time: 0.5260 data_time: 0.0351 memory: 18104 grad_norm: 7.5219 loss: 1.8804 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 0.9651 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.9153 2023/02/03 08:00:29 - mmengine - INFO - Epoch(train) [242][1860/1879] lr: 9.7955e-04 eta: 3:46:22 time: 0.5028 data_time: 0.0370 memory: 18104 grad_norm: 7.6367 loss: 2.2042 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2688 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.9354 2023/02/03 08:00:38 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 08:00:38 - mmengine - INFO - Epoch(train) [242][1879/1879] lr: 9.7814e-04 eta: 3:46:12 time: 0.4936 data_time: 0.0276 memory: 18104 grad_norm: 7.8019 loss: 1.9813 top1_acc_0: 0.7143 top5_acc_0: 0.8571 loss_cls_0: 1.0747 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9065 2023/02/03 08:00:53 - mmengine - INFO - Epoch(train) [243][ 20/1879] lr: 9.7666e-04 eta: 3:46:02 time: 0.7209 data_time: 0.2599 memory: 18104 grad_norm: 7.4110 loss: 2.1233 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1711 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 0.9522 2023/02/03 08:01:03 - mmengine - INFO - Epoch(train) [243][ 40/1879] lr: 9.7518e-04 eta: 3:45:52 time: 0.4735 data_time: 0.0321 memory: 18104 grad_norm: 7.4749 loss: 2.1369 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1367 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.0001 2023/02/03 08:01:13 - mmengine - INFO - Epoch(train) [243][ 60/1879] lr: 9.7370e-04 eta: 3:45:41 time: 0.4765 data_time: 0.0375 memory: 18104 grad_norm: 7.4932 loss: 2.1943 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2488 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.9455 2023/02/03 08:01:22 - mmengine - INFO - Epoch(train) [243][ 80/1879] lr: 9.7222e-04 eta: 3:45:31 time: 0.4935 data_time: 0.0440 memory: 18104 grad_norm: 7.6545 loss: 2.2925 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3364 top1_acc_1: 0.8588 top5_acc_1: 0.9294 loss_cls_1: 0.9561 2023/02/03 08:01:32 - mmengine - INFO - Epoch(train) [243][ 100/1879] lr: 9.7074e-04 eta: 3:45:20 time: 0.4790 data_time: 0.0383 memory: 18104 grad_norm: 7.4178 loss: 2.2104 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.2740 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 0.9364 2023/02/03 08:01:41 - mmengine - INFO - Epoch(train) [243][ 120/1879] lr: 9.6927e-04 eta: 3:45:10 time: 0.4683 data_time: 0.0334 memory: 18104 grad_norm: 7.6069 loss: 2.0731 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1554 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 0.9177 2023/02/03 08:01:52 - mmengine - INFO - Epoch(train) [243][ 140/1879] lr: 9.6779e-04 eta: 3:45:00 time: 0.5120 data_time: 0.0432 memory: 18104 grad_norm: 7.4579 loss: 2.1851 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2486 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.9366 2023/02/03 08:02:02 - mmengine - INFO - Epoch(train) [243][ 160/1879] lr: 9.6632e-04 eta: 3:44:49 time: 0.5013 data_time: 0.0309 memory: 18104 grad_norm: 7.4956 loss: 1.9995 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.0530 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.9466 2023/02/03 08:02:12 - mmengine - INFO - Epoch(train) [243][ 180/1879] lr: 9.6485e-04 eta: 3:44:39 time: 0.4932 data_time: 0.0377 memory: 18104 grad_norm: 7.3087 loss: 2.0878 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.1507 top1_acc_1: 0.8471 top5_acc_1: 0.9176 loss_cls_1: 0.9371 2023/02/03 08:02:22 - mmengine - INFO - Epoch(train) [243][ 200/1879] lr: 9.6337e-04 eta: 3:44:28 time: 0.5045 data_time: 0.0311 memory: 18104 grad_norm: 7.4686 loss: 1.9743 top1_acc_0: 0.5625 top5_acc_0: 1.0000 loss_cls_0: 1.0500 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 0.9243 2023/02/03 08:02:32 - mmengine - INFO - Epoch(train) [243][ 220/1879] lr: 9.6190e-04 eta: 3:44:18 time: 0.5241 data_time: 0.0437 memory: 18104 grad_norm: 7.5894 loss: 2.1306 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.1481 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9824 2023/02/03 08:02:42 - mmengine - INFO - Epoch(train) [243][ 240/1879] lr: 9.6043e-04 eta: 3:44:08 time: 0.4963 data_time: 0.0324 memory: 18104 grad_norm: 7.3740 loss: 2.0983 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1525 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.9457 2023/02/03 08:02:52 - mmengine - INFO - Epoch(train) [243][ 260/1879] lr: 9.5896e-04 eta: 3:43:57 time: 0.4920 data_time: 0.0363 memory: 18104 grad_norm: 7.6919 loss: 2.1451 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2654 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.8797 2023/02/03 08:03:03 - mmengine - INFO - Epoch(train) [243][ 280/1879] lr: 9.5750e-04 eta: 3:43:47 time: 0.5303 data_time: 0.0385 memory: 18104 grad_norm: 7.5380 loss: 2.1185 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1861 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9324 2023/02/03 08:03:04 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 08:03:13 - mmengine - INFO - Epoch(train) [243][ 300/1879] lr: 9.5603e-04 eta: 3:43:37 time: 0.5067 data_time: 0.0368 memory: 18104 grad_norm: 7.6241 loss: 2.0090 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1184 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 0.8906 2023/02/03 08:03:23 - mmengine - INFO - Epoch(train) [243][ 320/1879] lr: 9.5457e-04 eta: 3:43:26 time: 0.4998 data_time: 0.0339 memory: 18104 grad_norm: 7.6487 loss: 2.1386 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2119 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 0.9267 2023/02/03 08:03:33 - mmengine - INFO - Epoch(train) [243][ 340/1879] lr: 9.5310e-04 eta: 3:43:16 time: 0.5063 data_time: 0.0375 memory: 18104 grad_norm: 7.5043 loss: 2.3218 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2901 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 1.0316 2023/02/03 08:03:43 - mmengine - INFO - Epoch(train) [243][ 360/1879] lr: 9.5164e-04 eta: 3:43:06 time: 0.5217 data_time: 0.0322 memory: 18104 grad_norm: 7.4616 loss: 1.8865 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 0.9561 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9304 2023/02/03 08:03:54 - mmengine - INFO - Epoch(train) [243][ 380/1879] lr: 9.5018e-04 eta: 3:42:55 time: 0.5020 data_time: 0.0387 memory: 18104 grad_norm: 7.2473 loss: 1.9089 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.0280 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 0.8809 2023/02/03 08:04:04 - mmengine - INFO - Epoch(train) [243][ 400/1879] lr: 9.4872e-04 eta: 3:42:45 time: 0.5047 data_time: 0.0317 memory: 18104 grad_norm: 7.4062 loss: 1.8951 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 0.9628 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.9322 2023/02/03 08:04:14 - mmengine - INFO - Epoch(train) [243][ 420/1879] lr: 9.4726e-04 eta: 3:42:35 time: 0.5235 data_time: 0.0441 memory: 18104 grad_norm: 7.6125 loss: 2.2355 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.3263 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 0.9091 2023/02/03 08:04:24 - mmengine - INFO - Epoch(train) [243][ 440/1879] lr: 9.4580e-04 eta: 3:42:24 time: 0.5022 data_time: 0.0320 memory: 18104 grad_norm: 7.6152 loss: 2.0189 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.0944 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 0.9245 2023/02/03 08:04:34 - mmengine - INFO - Epoch(train) [243][ 460/1879] lr: 9.4434e-04 eta: 3:42:14 time: 0.5060 data_time: 0.0391 memory: 18104 grad_norm: 7.5346 loss: 1.9689 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 0.9756 top1_acc_1: 0.8235 top5_acc_1: 0.9647 loss_cls_1: 0.9933 2023/02/03 08:04:45 - mmengine - INFO - Epoch(train) [243][ 480/1879] lr: 9.4288e-04 eta: 3:42:04 time: 0.5148 data_time: 0.0312 memory: 18104 grad_norm: 7.4275 loss: 2.0582 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1251 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 0.9331 2023/02/03 08:04:55 - mmengine - INFO - Epoch(train) [243][ 500/1879] lr: 9.4143e-04 eta: 3:41:53 time: 0.5240 data_time: 0.0444 memory: 18104 grad_norm: 7.2330 loss: 2.0365 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.1193 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9173 2023/02/03 08:05:05 - mmengine - INFO - Epoch(train) [243][ 520/1879] lr: 9.3998e-04 eta: 3:41:43 time: 0.5021 data_time: 0.0322 memory: 18104 grad_norm: 7.4994 loss: 1.9175 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 0.9827 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.9348 2023/02/03 08:05:15 - mmengine - INFO - Epoch(train) [243][ 540/1879] lr: 9.3852e-04 eta: 3:41:33 time: 0.5081 data_time: 0.0410 memory: 18104 grad_norm: 7.6759 loss: 2.1003 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.1571 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9432 2023/02/03 08:05:26 - mmengine - INFO - Epoch(train) [243][ 560/1879] lr: 9.3707e-04 eta: 3:41:22 time: 0.5254 data_time: 0.0381 memory: 18104 grad_norm: 7.8843 loss: 2.0510 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.1414 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 0.9096 2023/02/03 08:05:36 - mmengine - INFO - Epoch(train) [243][ 580/1879] lr: 9.3562e-04 eta: 3:41:12 time: 0.5082 data_time: 0.0375 memory: 18104 grad_norm: 7.4958 loss: 2.1233 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2031 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9202 2023/02/03 08:05:46 - mmengine - INFO - Epoch(train) [243][ 600/1879] lr: 9.3417e-04 eta: 3:41:02 time: 0.5042 data_time: 0.0316 memory: 18104 grad_norm: 7.5056 loss: 2.2856 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.3530 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9327 2023/02/03 08:05:57 - mmengine - INFO - Epoch(train) [243][ 620/1879] lr: 9.3272e-04 eta: 3:40:51 time: 0.5331 data_time: 0.0439 memory: 18104 grad_norm: 7.5915 loss: 2.0379 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1314 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9064 2023/02/03 08:06:07 - mmengine - INFO - Epoch(train) [243][ 640/1879] lr: 9.3127e-04 eta: 3:40:41 time: 0.5034 data_time: 0.0324 memory: 18104 grad_norm: 7.5402 loss: 2.2230 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2980 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9250 2023/02/03 08:06:17 - mmengine - INFO - Epoch(train) [243][ 660/1879] lr: 9.2983e-04 eta: 3:40:31 time: 0.5028 data_time: 0.0383 memory: 18104 grad_norm: 7.6106 loss: 2.2482 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3313 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9170 2023/02/03 08:06:27 - mmengine - INFO - Epoch(train) [243][ 680/1879] lr: 9.2838e-04 eta: 3:40:20 time: 0.5175 data_time: 0.0307 memory: 18104 grad_norm: 7.4868 loss: 2.0013 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0367 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9646 2023/02/03 08:06:38 - mmengine - INFO - Epoch(train) [243][ 700/1879] lr: 9.2694e-04 eta: 3:40:10 time: 0.5161 data_time: 0.0422 memory: 18104 grad_norm: 7.5279 loss: 1.9737 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1024 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.8712 2023/02/03 08:06:48 - mmengine - INFO - Epoch(train) [243][ 720/1879] lr: 9.2550e-04 eta: 3:40:00 time: 0.5026 data_time: 0.0316 memory: 18104 grad_norm: 7.4426 loss: 2.0522 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1343 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 0.9179 2023/02/03 08:06:58 - mmengine - INFO - Epoch(train) [243][ 740/1879] lr: 9.2405e-04 eta: 3:39:49 time: 0.5106 data_time: 0.0377 memory: 18104 grad_norm: 7.2543 loss: 1.9881 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.0428 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9453 2023/02/03 08:07:08 - mmengine - INFO - Epoch(train) [243][ 760/1879] lr: 9.2261e-04 eta: 3:39:39 time: 0.5075 data_time: 0.0291 memory: 18104 grad_norm: 7.4359 loss: 2.0691 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2133 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 0.8558 2023/02/03 08:07:19 - mmengine - INFO - Epoch(train) [243][ 780/1879] lr: 9.2117e-04 eta: 3:39:29 time: 0.5158 data_time: 0.0367 memory: 18104 grad_norm: 7.6407 loss: 2.0031 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1386 top1_acc_1: 0.9176 top5_acc_1: 0.9882 loss_cls_1: 0.8644 2023/02/03 08:07:29 - mmengine - INFO - Epoch(train) [243][ 800/1879] lr: 9.1974e-04 eta: 3:39:18 time: 0.4939 data_time: 0.0306 memory: 18104 grad_norm: 7.5549 loss: 2.0388 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1109 top1_acc_1: 0.8118 top5_acc_1: 0.9647 loss_cls_1: 0.9280 2023/02/03 08:07:39 - mmengine - INFO - Epoch(train) [243][ 820/1879] lr: 9.1830e-04 eta: 3:39:08 time: 0.5303 data_time: 0.0370 memory: 18104 grad_norm: 7.6019 loss: 2.1975 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3234 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.8741 2023/02/03 08:07:49 - mmengine - INFO - Epoch(train) [243][ 840/1879] lr: 9.1686e-04 eta: 3:38:58 time: 0.5000 data_time: 0.0350 memory: 18104 grad_norm: 7.4499 loss: 1.9569 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.0648 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.8920 2023/02/03 08:07:59 - mmengine - INFO - Epoch(train) [243][ 860/1879] lr: 9.1543e-04 eta: 3:38:47 time: 0.5056 data_time: 0.0379 memory: 18104 grad_norm: 7.6137 loss: 2.0505 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1758 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.8748 2023/02/03 08:08:09 - mmengine - INFO - Epoch(train) [243][ 880/1879] lr: 9.1399e-04 eta: 3:38:37 time: 0.5037 data_time: 0.0317 memory: 18104 grad_norm: 7.5931 loss: 2.1977 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2690 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.9286 2023/02/03 08:08:20 - mmengine - INFO - Epoch(train) [243][ 900/1879] lr: 9.1256e-04 eta: 3:38:26 time: 0.5108 data_time: 0.0448 memory: 18104 grad_norm: 7.4936 loss: 2.0577 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.1113 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.9464 2023/02/03 08:08:30 - mmengine - INFO - Epoch(train) [243][ 920/1879] lr: 9.1113e-04 eta: 3:38:16 time: 0.4934 data_time: 0.0311 memory: 18104 grad_norm: 7.4230 loss: 2.2236 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.2921 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.9315 2023/02/03 08:08:40 - mmengine - INFO - Epoch(train) [243][ 940/1879] lr: 9.0970e-04 eta: 3:38:06 time: 0.4983 data_time: 0.0383 memory: 18104 grad_norm: 7.5468 loss: 1.9423 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0188 top1_acc_1: 0.8588 top5_acc_1: 0.9529 loss_cls_1: 0.9235 2023/02/03 08:08:50 - mmengine - INFO - Epoch(train) [243][ 960/1879] lr: 9.0827e-04 eta: 3:37:55 time: 0.4998 data_time: 0.0395 memory: 18104 grad_norm: 7.4065 loss: 2.1219 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1815 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9404 2023/02/03 08:09:00 - mmengine - INFO - Epoch(train) [243][ 980/1879] lr: 9.0684e-04 eta: 3:37:45 time: 0.5074 data_time: 0.0388 memory: 18104 grad_norm: 7.4945 loss: 1.9691 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.0763 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.8928 2023/02/03 08:09:10 - mmengine - INFO - Epoch(train) [243][1000/1879] lr: 9.0541e-04 eta: 3:37:35 time: 0.4887 data_time: 0.0329 memory: 18104 grad_norm: 7.5148 loss: 1.9776 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0400 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.9376 2023/02/03 08:09:20 - mmengine - INFO - Epoch(train) [243][1020/1879] lr: 9.0399e-04 eta: 3:37:24 time: 0.5218 data_time: 0.0420 memory: 18104 grad_norm: 7.4226 loss: 2.1143 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1690 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.9453 2023/02/03 08:09:30 - mmengine - INFO - Epoch(train) [243][1040/1879] lr: 9.0256e-04 eta: 3:37:14 time: 0.4979 data_time: 0.0345 memory: 18104 grad_norm: 7.6214 loss: 1.9888 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1201 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.8687 2023/02/03 08:09:40 - mmengine - INFO - Epoch(train) [243][1060/1879] lr: 9.0114e-04 eta: 3:37:04 time: 0.5112 data_time: 0.0390 memory: 18104 grad_norm: 7.6210 loss: 2.0951 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1486 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.9465 2023/02/03 08:09:50 - mmengine - INFO - Epoch(train) [243][1080/1879] lr: 8.9971e-04 eta: 3:36:53 time: 0.5061 data_time: 0.0309 memory: 18104 grad_norm: 7.6293 loss: 2.1996 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2154 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9842 2023/02/03 08:10:01 - mmengine - INFO - Epoch(train) [243][1100/1879] lr: 8.9829e-04 eta: 3:36:43 time: 0.5154 data_time: 0.0457 memory: 18104 grad_norm: 7.4995 loss: 1.9227 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0363 top1_acc_1: 0.7882 top5_acc_1: 0.9647 loss_cls_1: 0.8865 2023/02/03 08:10:11 - mmengine - INFO - Epoch(train) [243][1120/1879] lr: 8.9687e-04 eta: 3:36:32 time: 0.4929 data_time: 0.0306 memory: 18104 grad_norm: 7.6152 loss: 2.0929 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1398 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9531 2023/02/03 08:10:21 - mmengine - INFO - Epoch(train) [243][1140/1879] lr: 8.9545e-04 eta: 3:36:22 time: 0.5188 data_time: 0.0386 memory: 18104 grad_norm: 7.7308 loss: 2.2007 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2291 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 0.9716 2023/02/03 08:10:31 - mmengine - INFO - Epoch(train) [243][1160/1879] lr: 8.9403e-04 eta: 3:36:12 time: 0.5057 data_time: 0.0372 memory: 18104 grad_norm: 7.5059 loss: 2.2222 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2582 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9640 2023/02/03 08:10:41 - mmengine - INFO - Epoch(train) [243][1180/1879] lr: 8.9262e-04 eta: 3:36:01 time: 0.5076 data_time: 0.0364 memory: 18104 grad_norm: 7.6231 loss: 1.9979 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.0990 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.8989 2023/02/03 08:10:51 - mmengine - INFO - Epoch(train) [243][1200/1879] lr: 8.9120e-04 eta: 3:35:51 time: 0.4948 data_time: 0.0305 memory: 18104 grad_norm: 7.7336 loss: 2.0087 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1035 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.9052 2023/02/03 08:11:02 - mmengine - INFO - Epoch(train) [243][1220/1879] lr: 8.8979e-04 eta: 3:35:41 time: 0.5359 data_time: 0.0492 memory: 18104 grad_norm: 7.6227 loss: 1.9782 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.0657 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 0.9125 2023/02/03 08:11:12 - mmengine - INFO - Epoch(train) [243][1240/1879] lr: 8.8837e-04 eta: 3:35:30 time: 0.4891 data_time: 0.0317 memory: 18104 grad_norm: 7.4265 loss: 2.2314 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3465 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.8849 2023/02/03 08:11:22 - mmengine - INFO - Epoch(train) [243][1260/1879] lr: 8.8696e-04 eta: 3:35:20 time: 0.5123 data_time: 0.0376 memory: 18104 grad_norm: 7.5407 loss: 2.1490 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2238 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 0.9252 2023/02/03 08:11:32 - mmengine - INFO - Epoch(train) [243][1280/1879] lr: 8.8555e-04 eta: 3:35:10 time: 0.5067 data_time: 0.0306 memory: 18104 grad_norm: 7.6620 loss: 1.9292 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.0342 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.8950 2023/02/03 08:11:33 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 08:11:42 - mmengine - INFO - Epoch(train) [243][1300/1879] lr: 8.8414e-04 eta: 3:34:59 time: 0.5111 data_time: 0.0436 memory: 18104 grad_norm: 7.5756 loss: 2.3086 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.3116 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 0.9970 2023/02/03 08:11:53 - mmengine - INFO - Epoch(train) [243][1320/1879] lr: 8.8273e-04 eta: 3:34:49 time: 0.5042 data_time: 0.0323 memory: 18104 grad_norm: 7.6537 loss: 2.0337 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0824 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9514 2023/02/03 08:12:03 - mmengine - INFO - Epoch(train) [243][1340/1879] lr: 8.8132e-04 eta: 3:34:39 time: 0.5303 data_time: 0.0399 memory: 18104 grad_norm: 7.6906 loss: 2.2297 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.2601 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 0.9696 2023/02/03 08:12:14 - mmengine - INFO - Epoch(train) [243][1360/1879] lr: 8.7991e-04 eta: 3:34:28 time: 0.5245 data_time: 0.0363 memory: 18104 grad_norm: 7.4678 loss: 2.1784 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2241 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 0.9543 2023/02/03 08:12:24 - mmengine - INFO - Epoch(train) [243][1380/1879] lr: 8.7851e-04 eta: 3:34:18 time: 0.5274 data_time: 0.0366 memory: 18104 grad_norm: 7.4195 loss: 2.1697 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2481 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 0.9215 2023/02/03 08:12:34 - mmengine - INFO - Epoch(train) [243][1400/1879] lr: 8.7710e-04 eta: 3:34:08 time: 0.5022 data_time: 0.0317 memory: 18104 grad_norm: 7.7312 loss: 2.2740 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3401 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 0.9339 2023/02/03 08:12:45 - mmengine - INFO - Epoch(train) [243][1420/1879] lr: 8.7570e-04 eta: 3:33:58 time: 0.5507 data_time: 0.0464 memory: 18104 grad_norm: 7.5595 loss: 1.8894 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0310 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.8584 2023/02/03 08:12:55 - mmengine - INFO - Epoch(train) [243][1440/1879] lr: 8.7429e-04 eta: 3:33:47 time: 0.5044 data_time: 0.0315 memory: 18104 grad_norm: 7.5025 loss: 1.9500 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.0870 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.8630 2023/02/03 08:13:06 - mmengine - INFO - Epoch(train) [243][1460/1879] lr: 8.7289e-04 eta: 3:33:37 time: 0.5188 data_time: 0.0370 memory: 18104 grad_norm: 7.2968 loss: 2.0128 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.1063 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 0.9065 2023/02/03 08:13:16 - mmengine - INFO - Epoch(train) [243][1480/1879] lr: 8.7149e-04 eta: 3:33:27 time: 0.5122 data_time: 0.0338 memory: 18104 grad_norm: 7.5101 loss: 2.0988 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0862 top1_acc_1: 0.8471 top5_acc_1: 0.9294 loss_cls_1: 1.0126 2023/02/03 08:13:27 - mmengine - INFO - Epoch(train) [243][1500/1879] lr: 8.7009e-04 eta: 3:33:16 time: 0.5309 data_time: 0.0487 memory: 18104 grad_norm: 7.4940 loss: 1.9802 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.1165 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 0.8637 2023/02/03 08:13:37 - mmengine - INFO - Epoch(train) [243][1520/1879] lr: 8.6869e-04 eta: 3:33:06 time: 0.5093 data_time: 0.0289 memory: 18104 grad_norm: 7.6514 loss: 2.3365 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.4002 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 0.9363 2023/02/03 08:13:47 - mmengine - INFO - Epoch(train) [243][1540/1879] lr: 8.6730e-04 eta: 3:32:56 time: 0.5184 data_time: 0.0363 memory: 18104 grad_norm: 7.5897 loss: 2.1080 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0933 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 1.0146 2023/02/03 08:13:58 - mmengine - INFO - Epoch(train) [243][1560/1879] lr: 8.6590e-04 eta: 3:32:45 time: 0.5323 data_time: 0.0404 memory: 18104 grad_norm: 7.5657 loss: 2.2461 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2005 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 1.0456 2023/02/03 08:14:08 - mmengine - INFO - Epoch(train) [243][1580/1879] lr: 8.6451e-04 eta: 3:32:35 time: 0.5071 data_time: 0.0360 memory: 18104 grad_norm: 7.4048 loss: 2.1127 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1691 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.9436 2023/02/03 08:14:18 - mmengine - INFO - Epoch(train) [243][1600/1879] lr: 8.6311e-04 eta: 3:32:25 time: 0.4964 data_time: 0.0290 memory: 18104 grad_norm: 7.4009 loss: 1.9731 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0874 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.8858 2023/02/03 08:14:29 - mmengine - INFO - Epoch(train) [243][1620/1879] lr: 8.6172e-04 eta: 3:32:14 time: 0.5395 data_time: 0.0379 memory: 18104 grad_norm: 7.4066 loss: 2.1391 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.2400 top1_acc_1: 0.7412 top5_acc_1: 0.9529 loss_cls_1: 0.8991 2023/02/03 08:14:39 - mmengine - INFO - Epoch(train) [243][1640/1879] lr: 8.6033e-04 eta: 3:32:04 time: 0.5116 data_time: 0.0410 memory: 18104 grad_norm: 7.6367 loss: 2.1899 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.3149 top1_acc_1: 0.8118 top5_acc_1: 0.9647 loss_cls_1: 0.8750 2023/02/03 08:14:49 - mmengine - INFO - Epoch(train) [243][1660/1879] lr: 8.5894e-04 eta: 3:31:54 time: 0.5041 data_time: 0.0371 memory: 18104 grad_norm: 7.3495 loss: 2.1378 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1515 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.9862 2023/02/03 08:15:00 - mmengine - INFO - Epoch(train) [243][1680/1879] lr: 8.5755e-04 eta: 3:31:43 time: 0.5129 data_time: 0.0312 memory: 18104 grad_norm: 7.5729 loss: 2.2010 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2780 top1_acc_1: 0.6941 top5_acc_1: 0.8941 loss_cls_1: 0.9230 2023/02/03 08:15:10 - mmengine - INFO - Epoch(train) [243][1700/1879] lr: 8.5616e-04 eta: 3:31:33 time: 0.5330 data_time: 0.0467 memory: 18104 grad_norm: 7.3944 loss: 2.2312 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.3041 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9271 2023/02/03 08:15:21 - mmengine - INFO - Epoch(train) [243][1720/1879] lr: 8.5477e-04 eta: 3:31:23 time: 0.5078 data_time: 0.0291 memory: 18104 grad_norm: 7.3949 loss: 1.9293 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 0.9946 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 0.9347 2023/02/03 08:15:31 - mmengine - INFO - Epoch(train) [243][1740/1879] lr: 8.5339e-04 eta: 3:31:12 time: 0.5005 data_time: 0.0354 memory: 18104 grad_norm: 7.6316 loss: 2.2919 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.3694 top1_acc_1: 0.7882 top5_acc_1: 0.9765 loss_cls_1: 0.9225 2023/02/03 08:15:41 - mmengine - INFO - Epoch(train) [243][1760/1879] lr: 8.5200e-04 eta: 3:31:02 time: 0.5375 data_time: 0.0309 memory: 18104 grad_norm: 7.6145 loss: 2.1645 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2364 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.9281 2023/02/03 08:15:52 - mmengine - INFO - Epoch(train) [243][1780/1879] lr: 8.5062e-04 eta: 3:30:52 time: 0.5152 data_time: 0.0433 memory: 18104 grad_norm: 7.6628 loss: 2.0967 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1512 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 0.9455 2023/02/03 08:16:02 - mmengine - INFO - Epoch(train) [243][1800/1879] lr: 8.4923e-04 eta: 3:30:42 time: 0.5084 data_time: 0.0312 memory: 18104 grad_norm: 7.4611 loss: 1.9410 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.0284 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.9126 2023/02/03 08:16:12 - mmengine - INFO - Epoch(train) [243][1820/1879] lr: 8.4785e-04 eta: 3:30:31 time: 0.5289 data_time: 0.0352 memory: 18104 grad_norm: 7.5427 loss: 2.2099 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.2084 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 1.0016 2023/02/03 08:16:23 - mmengine - INFO - Epoch(train) [243][1840/1879] lr: 8.4647e-04 eta: 3:30:21 time: 0.5249 data_time: 0.0373 memory: 18104 grad_norm: 7.6981 loss: 2.1173 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1372 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 0.9801 2023/02/03 08:16:33 - mmengine - INFO - Epoch(train) [243][1860/1879] lr: 8.4509e-04 eta: 3:30:11 time: 0.5080 data_time: 0.0354 memory: 18104 grad_norm: 7.5156 loss: 2.0473 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1222 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.9251 2023/02/03 08:16:42 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 08:16:42 - mmengine - INFO - Epoch(train) [243][1879/1879] lr: 8.4378e-04 eta: 3:30:01 time: 0.4924 data_time: 0.0270 memory: 18104 grad_norm: 7.4891 loss: 2.1218 top1_acc_0: 0.8571 top5_acc_0: 0.8571 loss_cls_0: 1.2412 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 0.8806 2023/02/03 08:16:58 - mmengine - INFO - Epoch(train) [244][ 20/1879] lr: 8.4241e-04 eta: 3:29:51 time: 0.7230 data_time: 0.2596 memory: 18104 grad_norm: 7.2604 loss: 1.9919 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.1100 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.8819 2023/02/03 08:17:07 - mmengine - INFO - Epoch(train) [244][ 40/1879] lr: 8.4103e-04 eta: 3:29:41 time: 0.4813 data_time: 0.0312 memory: 18104 grad_norm: 7.3514 loss: 2.0649 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1328 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 0.9320 2023/02/03 08:17:17 - mmengine - INFO - Epoch(train) [244][ 60/1879] lr: 8.3965e-04 eta: 3:29:30 time: 0.4993 data_time: 0.0369 memory: 18104 grad_norm: 7.4534 loss: 1.9365 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 0.9519 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9847 2023/02/03 08:17:28 - mmengine - INFO - Epoch(train) [244][ 80/1879] lr: 8.3828e-04 eta: 3:29:20 time: 0.5305 data_time: 0.0323 memory: 18104 grad_norm: 7.5105 loss: 1.9744 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.0559 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9185 2023/02/03 08:17:38 - mmengine - INFO - Epoch(train) [244][ 100/1879] lr: 8.3691e-04 eta: 3:29:10 time: 0.4920 data_time: 0.0369 memory: 18104 grad_norm: 7.6084 loss: 2.2161 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.2382 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 0.9779 2023/02/03 08:17:47 - mmengine - INFO - Epoch(train) [244][ 120/1879] lr: 8.3554e-04 eta: 3:28:59 time: 0.4841 data_time: 0.0334 memory: 18104 grad_norm: 7.4399 loss: 1.9584 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.0417 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.9167 2023/02/03 08:17:58 - mmengine - INFO - Epoch(train) [244][ 140/1879] lr: 8.3417e-04 eta: 3:28:49 time: 0.5130 data_time: 0.0366 memory: 18104 grad_norm: 7.4259 loss: 1.9575 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0098 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 0.9478 2023/02/03 08:18:08 - mmengine - INFO - Epoch(train) [244][ 160/1879] lr: 8.3280e-04 eta: 3:28:39 time: 0.5024 data_time: 0.0338 memory: 18104 grad_norm: 7.5569 loss: 2.1242 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1899 top1_acc_1: 0.8118 top5_acc_1: 0.8941 loss_cls_1: 0.9343 2023/02/03 08:18:18 - mmengine - INFO - Epoch(train) [244][ 180/1879] lr: 8.3143e-04 eta: 3:28:28 time: 0.4900 data_time: 0.0372 memory: 18104 grad_norm: 7.4517 loss: 1.9495 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0184 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9311 2023/02/03 08:18:27 - mmengine - INFO - Epoch(train) [244][ 200/1879] lr: 8.3006e-04 eta: 3:28:18 time: 0.4878 data_time: 0.0330 memory: 18104 grad_norm: 7.6030 loss: 2.1894 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2413 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.9481 2023/02/03 08:18:38 - mmengine - INFO - Epoch(train) [244][ 220/1879] lr: 8.2870e-04 eta: 3:28:07 time: 0.5220 data_time: 0.0356 memory: 18104 grad_norm: 7.4782 loss: 2.0942 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.1425 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 0.9517 2023/02/03 08:18:48 - mmengine - INFO - Epoch(train) [244][ 240/1879] lr: 8.2733e-04 eta: 3:27:57 time: 0.4814 data_time: 0.0311 memory: 18104 grad_norm: 7.5516 loss: 1.9937 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.0545 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 0.9392 2023/02/03 08:18:57 - mmengine - INFO - Epoch(train) [244][ 260/1879] lr: 8.2597e-04 eta: 3:27:47 time: 0.4928 data_time: 0.0358 memory: 18104 grad_norm: 7.4758 loss: 2.0817 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1647 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.9170 2023/02/03 08:19:07 - mmengine - INFO - Epoch(train) [244][ 280/1879] lr: 8.2460e-04 eta: 3:27:36 time: 0.4964 data_time: 0.0308 memory: 18104 grad_norm: 7.4145 loss: 2.1298 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2108 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 0.9190 2023/02/03 08:19:18 - mmengine - INFO - Epoch(train) [244][ 300/1879] lr: 8.2324e-04 eta: 3:27:26 time: 0.5191 data_time: 0.0373 memory: 18104 grad_norm: 7.4302 loss: 1.8900 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 0.9786 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 0.9113 2023/02/03 08:19:28 - mmengine - INFO - Epoch(train) [244][ 320/1879] lr: 8.2188e-04 eta: 3:27:16 time: 0.4879 data_time: 0.0335 memory: 18104 grad_norm: 7.4827 loss: 1.9976 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.0008 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.9968 2023/02/03 08:19:38 - mmengine - INFO - Epoch(train) [244][ 340/1879] lr: 8.2052e-04 eta: 3:27:05 time: 0.5167 data_time: 0.0377 memory: 18104 grad_norm: 7.6484 loss: 2.3658 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.4674 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.8984 2023/02/03 08:19:48 - mmengine - INFO - Epoch(train) [244][ 360/1879] lr: 8.1916e-04 eta: 3:26:55 time: 0.5101 data_time: 0.0400 memory: 18104 grad_norm: 7.2388 loss: 1.8927 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.0190 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 0.8737 2023/02/03 08:19:58 - mmengine - INFO - Epoch(train) [244][ 380/1879] lr: 8.1781e-04 eta: 3:26:44 time: 0.5014 data_time: 0.0365 memory: 18104 grad_norm: 7.6556 loss: 2.0294 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.1141 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 0.9152 2023/02/03 08:20:08 - mmengine - INFO - Epoch(train) [244][ 400/1879] lr: 8.1645e-04 eta: 3:26:34 time: 0.4928 data_time: 0.0325 memory: 18104 grad_norm: 7.4327 loss: 2.1601 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.2237 top1_acc_1: 0.8706 top5_acc_1: 0.9412 loss_cls_1: 0.9364 2023/02/03 08:20:10 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 08:20:18 - mmengine - INFO - Epoch(train) [244][ 420/1879] lr: 8.1510e-04 eta: 3:26:24 time: 0.5033 data_time: 0.0358 memory: 18104 grad_norm: 7.6216 loss: 2.1711 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.2554 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 0.9157 2023/02/03 08:20:28 - mmengine - INFO - Epoch(train) [244][ 440/1879] lr: 8.1374e-04 eta: 3:26:13 time: 0.5077 data_time: 0.0305 memory: 18104 grad_norm: 7.5275 loss: 2.2584 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2960 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 0.9624 2023/02/03 08:20:38 - mmengine - INFO - Epoch(train) [244][ 460/1879] lr: 8.1239e-04 eta: 3:26:03 time: 0.4987 data_time: 0.0368 memory: 18104 grad_norm: 7.4404 loss: 2.1360 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1029 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 1.0331 2023/02/03 08:20:48 - mmengine - INFO - Epoch(train) [244][ 480/1879] lr: 8.1104e-04 eta: 3:25:53 time: 0.4964 data_time: 0.0322 memory: 18104 grad_norm: 7.6434 loss: 2.1548 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.2340 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 0.9209 2023/02/03 08:20:59 - mmengine - INFO - Epoch(train) [244][ 500/1879] lr: 8.0969e-04 eta: 3:25:42 time: 0.5156 data_time: 0.0434 memory: 18104 grad_norm: 7.4348 loss: 1.9416 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.0328 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9087 2023/02/03 08:21:08 - mmengine - INFO - Epoch(train) [244][ 520/1879] lr: 8.0834e-04 eta: 3:25:32 time: 0.4858 data_time: 0.0307 memory: 18104 grad_norm: 7.4026 loss: 1.8946 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.0181 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.8764 2023/02/03 08:21:19 - mmengine - INFO - Epoch(train) [244][ 540/1879] lr: 8.0699e-04 eta: 3:25:22 time: 0.5075 data_time: 0.0376 memory: 18104 grad_norm: 7.6589 loss: 2.0483 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.1770 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.8713 2023/02/03 08:21:29 - mmengine - INFO - Epoch(train) [244][ 560/1879] lr: 8.0564e-04 eta: 3:25:11 time: 0.5047 data_time: 0.0338 memory: 18104 grad_norm: 7.5451 loss: 1.8780 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 0.9328 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9452 2023/02/03 08:21:39 - mmengine - INFO - Epoch(train) [244][ 580/1879] lr: 8.0430e-04 eta: 3:25:01 time: 0.5155 data_time: 0.0449 memory: 18104 grad_norm: 7.5457 loss: 1.9198 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.0113 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 0.9085 2023/02/03 08:21:49 - mmengine - INFO - Epoch(train) [244][ 600/1879] lr: 8.0295e-04 eta: 3:24:50 time: 0.4928 data_time: 0.0324 memory: 18104 grad_norm: 7.4013 loss: 2.1080 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1552 top1_acc_1: 0.8235 top5_acc_1: 0.9647 loss_cls_1: 0.9528 2023/02/03 08:21:59 - mmengine - INFO - Epoch(train) [244][ 620/1879] lr: 8.0161e-04 eta: 3:24:40 time: 0.5236 data_time: 0.0362 memory: 18104 grad_norm: 7.3830 loss: 2.0303 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.1124 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.9179 2023/02/03 08:22:10 - mmengine - INFO - Epoch(train) [244][ 640/1879] lr: 8.0027e-04 eta: 3:24:30 time: 0.5136 data_time: 0.0381 memory: 18104 grad_norm: 7.4332 loss: 2.2153 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.2923 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.9230 2023/02/03 08:22:20 - mmengine - INFO - Epoch(train) [244][ 660/1879] lr: 7.9892e-04 eta: 3:24:19 time: 0.5054 data_time: 0.0376 memory: 18104 grad_norm: 7.6528 loss: 1.9622 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1031 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 0.8591 2023/02/03 08:22:30 - mmengine - INFO - Epoch(train) [244][ 680/1879] lr: 7.9758e-04 eta: 3:24:09 time: 0.5056 data_time: 0.0322 memory: 18104 grad_norm: 7.8893 loss: 2.1921 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3045 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.8877 2023/02/03 08:22:41 - mmengine - INFO - Epoch(train) [244][ 700/1879] lr: 7.9624e-04 eta: 3:23:59 time: 0.5349 data_time: 0.0383 memory: 18104 grad_norm: 7.4627 loss: 2.0406 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.1028 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 0.9378 2023/02/03 08:22:51 - mmengine - INFO - Epoch(train) [244][ 720/1879] lr: 7.9491e-04 eta: 3:23:49 time: 0.5093 data_time: 0.0384 memory: 18104 grad_norm: 7.5431 loss: 2.2418 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.3462 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.8956 2023/02/03 08:23:01 - mmengine - INFO - Epoch(train) [244][ 740/1879] lr: 7.9357e-04 eta: 3:23:38 time: 0.5288 data_time: 0.0385 memory: 18104 grad_norm: 7.8590 loss: 2.0873 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2128 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.8745 2023/02/03 08:23:12 - mmengine - INFO - Epoch(train) [244][ 760/1879] lr: 7.9223e-04 eta: 3:23:28 time: 0.5078 data_time: 0.0308 memory: 18104 grad_norm: 7.6038 loss: 2.0470 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1798 top1_acc_1: 0.6706 top5_acc_1: 0.8588 loss_cls_1: 0.8672 2023/02/03 08:23:22 - mmengine - INFO - Epoch(train) [244][ 780/1879] lr: 7.9090e-04 eta: 3:23:18 time: 0.5283 data_time: 0.0376 memory: 18104 grad_norm: 7.5243 loss: 2.0869 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.1970 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 0.8899 2023/02/03 08:23:32 - mmengine - INFO - Epoch(train) [244][ 800/1879] lr: 7.8956e-04 eta: 3:23:07 time: 0.5072 data_time: 0.0319 memory: 18104 grad_norm: 7.7731 loss: 1.9365 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1101 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.8264 2023/02/03 08:23:43 - mmengine - INFO - Epoch(train) [244][ 820/1879] lr: 7.8823e-04 eta: 3:22:57 time: 0.5349 data_time: 0.0360 memory: 18104 grad_norm: 7.5359 loss: 1.9231 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0823 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 0.8408 2023/02/03 08:23:53 - mmengine - INFO - Epoch(train) [244][ 840/1879] lr: 7.8690e-04 eta: 3:22:47 time: 0.5095 data_time: 0.0319 memory: 18104 grad_norm: 7.5831 loss: 2.1981 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.2198 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 0.9784 2023/02/03 08:24:04 - mmengine - INFO - Epoch(train) [244][ 860/1879] lr: 7.8557e-04 eta: 3:22:36 time: 0.5205 data_time: 0.0388 memory: 18104 grad_norm: 7.3505 loss: 1.9721 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0785 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 0.8936 2023/02/03 08:24:14 - mmengine - INFO - Epoch(train) [244][ 880/1879] lr: 7.8424e-04 eta: 3:22:26 time: 0.5147 data_time: 0.0329 memory: 18104 grad_norm: 7.6963 loss: 2.1615 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.2764 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.8851 2023/02/03 08:24:25 - mmengine - INFO - Epoch(train) [244][ 900/1879] lr: 7.8291e-04 eta: 3:22:16 time: 0.5263 data_time: 0.0383 memory: 18104 grad_norm: 7.4551 loss: 2.1014 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1536 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9478 2023/02/03 08:24:35 - mmengine - INFO - Epoch(train) [244][ 920/1879] lr: 7.8159e-04 eta: 3:22:05 time: 0.5142 data_time: 0.0377 memory: 18104 grad_norm: 7.7398 loss: 1.9882 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0277 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.9605 2023/02/03 08:24:46 - mmengine - INFO - Epoch(train) [244][ 940/1879] lr: 7.8026e-04 eta: 3:21:55 time: 0.5371 data_time: 0.0390 memory: 18104 grad_norm: 7.5807 loss: 2.1506 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1971 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9535 2023/02/03 08:24:56 - mmengine - INFO - Epoch(train) [244][ 960/1879] lr: 7.7894e-04 eta: 3:21:45 time: 0.5158 data_time: 0.0311 memory: 18104 grad_norm: 7.4632 loss: 2.0455 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0795 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 0.9660 2023/02/03 08:25:07 - mmengine - INFO - Epoch(train) [244][ 980/1879] lr: 7.7761e-04 eta: 3:21:35 time: 0.5231 data_time: 0.0425 memory: 18104 grad_norm: 7.5094 loss: 2.2327 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.3695 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.8632 2023/02/03 08:25:17 - mmengine - INFO - Epoch(train) [244][1000/1879] lr: 7.7629e-04 eta: 3:21:24 time: 0.5020 data_time: 0.0327 memory: 18104 grad_norm: 7.6940 loss: 1.9173 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0254 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.8919 2023/02/03 08:25:28 - mmengine - INFO - Epoch(train) [244][1020/1879] lr: 7.7497e-04 eta: 3:21:14 time: 0.5478 data_time: 0.0376 memory: 18104 grad_norm: 7.4279 loss: 1.9585 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1037 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.8548 2023/02/03 08:25:38 - mmengine - INFO - Epoch(train) [244][1040/1879] lr: 7.7365e-04 eta: 3:21:04 time: 0.5042 data_time: 0.0311 memory: 18104 grad_norm: 7.6870 loss: 2.2205 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2876 top1_acc_1: 0.7765 top5_acc_1: 0.8471 loss_cls_1: 0.9330 2023/02/03 08:25:48 - mmengine - INFO - Epoch(train) [244][1060/1879] lr: 7.7233e-04 eta: 3:20:53 time: 0.5279 data_time: 0.0454 memory: 18104 grad_norm: 7.6282 loss: 2.1236 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1965 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9271 2023/02/03 08:25:59 - mmengine - INFO - Epoch(train) [244][1080/1879] lr: 7.7101e-04 eta: 3:20:43 time: 0.5166 data_time: 0.0312 memory: 18104 grad_norm: 7.6535 loss: 2.0766 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.1842 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.8924 2023/02/03 08:26:09 - mmengine - INFO - Epoch(train) [244][1100/1879] lr: 7.6969e-04 eta: 3:20:33 time: 0.5274 data_time: 0.0370 memory: 18104 grad_norm: 7.6816 loss: 2.0304 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1264 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.9040 2023/02/03 08:26:19 - mmengine - INFO - Epoch(train) [244][1120/1879] lr: 7.6838e-04 eta: 3:20:23 time: 0.5098 data_time: 0.0405 memory: 18104 grad_norm: 7.4908 loss: 2.0492 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.1437 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9054 2023/02/03 08:26:30 - mmengine - INFO - Epoch(train) [244][1140/1879] lr: 7.6706e-04 eta: 3:20:12 time: 0.5192 data_time: 0.0358 memory: 18104 grad_norm: 7.5721 loss: 1.9280 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 0.9969 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9311 2023/02/03 08:26:40 - mmengine - INFO - Epoch(train) [244][1160/1879] lr: 7.6575e-04 eta: 3:20:02 time: 0.5089 data_time: 0.0323 memory: 18104 grad_norm: 7.4342 loss: 1.9939 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0300 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 0.9639 2023/02/03 08:26:51 - mmengine - INFO - Epoch(train) [244][1180/1879] lr: 7.6444e-04 eta: 3:19:52 time: 0.5231 data_time: 0.0441 memory: 18104 grad_norm: 7.5518 loss: 2.1736 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.2381 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9355 2023/02/03 08:27:01 - mmengine - INFO - Epoch(train) [244][1200/1879] lr: 7.6313e-04 eta: 3:19:41 time: 0.5020 data_time: 0.0315 memory: 18104 grad_norm: 7.6737 loss: 2.0822 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1815 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.9007 2023/02/03 08:27:11 - mmengine - INFO - Epoch(train) [244][1220/1879] lr: 7.6182e-04 eta: 3:19:31 time: 0.5149 data_time: 0.0363 memory: 18104 grad_norm: 7.7438 loss: 2.0783 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1035 top1_acc_1: 0.8235 top5_acc_1: 0.8941 loss_cls_1: 0.9747 2023/02/03 08:27:22 - mmengine - INFO - Epoch(train) [244][1240/1879] lr: 7.6051e-04 eta: 3:19:21 time: 0.5273 data_time: 0.0347 memory: 18104 grad_norm: 7.5293 loss: 2.0632 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1527 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9105 2023/02/03 08:27:32 - mmengine - INFO - Epoch(train) [244][1260/1879] lr: 7.5920e-04 eta: 3:19:10 time: 0.5299 data_time: 0.0380 memory: 18104 grad_norm: 7.5439 loss: 2.1820 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2201 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 0.9619 2023/02/03 08:27:43 - mmengine - INFO - Epoch(train) [244][1280/1879] lr: 7.5789e-04 eta: 3:19:00 time: 0.5261 data_time: 0.0375 memory: 18104 grad_norm: 7.6418 loss: 2.0943 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.2356 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.8587 2023/02/03 08:27:53 - mmengine - INFO - Epoch(train) [244][1300/1879] lr: 7.5659e-04 eta: 3:18:50 time: 0.5368 data_time: 0.0313 memory: 18104 grad_norm: 7.4684 loss: 2.1347 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0785 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 1.0562 2023/02/03 08:28:04 - mmengine - INFO - Epoch(train) [244][1320/1879] lr: 7.5528e-04 eta: 3:18:40 time: 0.5245 data_time: 0.0424 memory: 18104 grad_norm: 7.4771 loss: 2.0176 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.2244 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.7932 2023/02/03 08:28:14 - mmengine - INFO - Epoch(train) [244][1340/1879] lr: 7.5398e-04 eta: 3:18:29 time: 0.5102 data_time: 0.0288 memory: 18104 grad_norm: 7.5950 loss: 2.0666 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1212 top1_acc_1: 0.7647 top5_acc_1: 0.8706 loss_cls_1: 0.9454 2023/02/03 08:28:25 - mmengine - INFO - Epoch(train) [244][1360/1879] lr: 7.5268e-04 eta: 3:18:19 time: 0.5231 data_time: 0.0362 memory: 18104 grad_norm: 7.6657 loss: 2.0911 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1960 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.8951 2023/02/03 08:28:35 - mmengine - INFO - Epoch(train) [244][1380/1879] lr: 7.5137e-04 eta: 3:18:09 time: 0.5219 data_time: 0.0305 memory: 18104 grad_norm: 7.3744 loss: 2.0139 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0879 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.9260 2023/02/03 08:28:45 - mmengine - INFO - Epoch(train) [244][1400/1879] lr: 7.5007e-04 eta: 3:17:58 time: 0.5111 data_time: 0.0402 memory: 18104 grad_norm: 7.6169 loss: 2.2293 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3200 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9092 2023/02/03 08:28:47 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 08:28:56 - mmengine - INFO - Epoch(train) [244][1420/1879] lr: 7.4877e-04 eta: 3:17:48 time: 0.5244 data_time: 0.0312 memory: 18104 grad_norm: 7.5714 loss: 1.9553 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0141 top1_acc_1: 0.6118 top5_acc_1: 0.9176 loss_cls_1: 0.9412 2023/02/03 08:29:06 - mmengine - INFO - Epoch(train) [244][1440/1879] lr: 7.4748e-04 eta: 3:17:38 time: 0.5212 data_time: 0.0357 memory: 18104 grad_norm: 7.6019 loss: 1.9620 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0854 top1_acc_1: 0.7765 top5_acc_1: 0.9647 loss_cls_1: 0.8766 2023/02/03 08:29:17 - mmengine - INFO - Epoch(train) [244][1460/1879] lr: 7.4618e-04 eta: 3:17:27 time: 0.5306 data_time: 0.0380 memory: 18104 grad_norm: 7.8251 loss: 2.1442 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2422 top1_acc_1: 0.8235 top5_acc_1: 0.9647 loss_cls_1: 0.9019 2023/02/03 08:29:27 - mmengine - INFO - Epoch(train) [244][1480/1879] lr: 7.4488e-04 eta: 3:17:17 time: 0.5092 data_time: 0.0349 memory: 18104 grad_norm: 7.6379 loss: 1.9002 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 0.9940 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.9062 2023/02/03 08:29:38 - mmengine - INFO - Epoch(train) [244][1500/1879] lr: 7.4359e-04 eta: 3:17:07 time: 0.5244 data_time: 0.0308 memory: 18104 grad_norm: 7.7266 loss: 2.1549 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2369 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 0.9180 2023/02/03 08:29:48 - mmengine - INFO - Epoch(train) [244][1520/1879] lr: 7.4230e-04 eta: 3:16:56 time: 0.5243 data_time: 0.0348 memory: 18104 grad_norm: 7.6287 loss: 2.1603 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.2103 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9500 2023/02/03 08:29:59 - mmengine - INFO - Epoch(train) [244][1540/1879] lr: 7.4100e-04 eta: 3:16:46 time: 0.5236 data_time: 0.0300 memory: 18104 grad_norm: 7.6819 loss: 2.2422 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.2583 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9839 2023/02/03 08:30:09 - mmengine - INFO - Epoch(train) [244][1560/1879] lr: 7.3971e-04 eta: 3:16:36 time: 0.5173 data_time: 0.0361 memory: 18104 grad_norm: 7.3958 loss: 1.9969 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0344 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 0.9625 2023/02/03 08:30:19 - mmengine - INFO - Epoch(train) [244][1580/1879] lr: 7.3842e-04 eta: 3:16:26 time: 0.5186 data_time: 0.0305 memory: 18104 grad_norm: 7.5761 loss: 1.9942 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0873 top1_acc_1: 0.7882 top5_acc_1: 0.8706 loss_cls_1: 0.9069 2023/02/03 08:30:30 - mmengine - INFO - Epoch(train) [244][1600/1879] lr: 7.3713e-04 eta: 3:16:15 time: 0.5175 data_time: 0.0430 memory: 18104 grad_norm: 7.6627 loss: 2.0662 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1512 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.9150 2023/02/03 08:30:40 - mmengine - INFO - Epoch(train) [244][1620/1879] lr: 7.3585e-04 eta: 3:16:05 time: 0.5121 data_time: 0.0304 memory: 18104 grad_norm: 7.3919 loss: 1.8387 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 0.9640 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.8747 2023/02/03 08:30:50 - mmengine - INFO - Epoch(train) [244][1640/1879] lr: 7.3456e-04 eta: 3:15:55 time: 0.5158 data_time: 0.0351 memory: 18104 grad_norm: 7.2629 loss: 1.8752 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 0.9936 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 0.8816 2023/02/03 08:31:01 - mmengine - INFO - Epoch(train) [244][1660/1879] lr: 7.3327e-04 eta: 3:15:44 time: 0.5279 data_time: 0.0370 memory: 18104 grad_norm: 7.4766 loss: 1.9731 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.1075 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 0.8656 2023/02/03 08:31:11 - mmengine - INFO - Epoch(train) [244][1680/1879] lr: 7.3199e-04 eta: 3:15:34 time: 0.5229 data_time: 0.0357 memory: 18104 grad_norm: 7.4413 loss: 1.9436 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1511 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.7925 2023/02/03 08:31:22 - mmengine - INFO - Epoch(train) [244][1700/1879] lr: 7.3070e-04 eta: 3:15:24 time: 0.5254 data_time: 0.0329 memory: 18104 grad_norm: 7.5754 loss: 2.1627 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 1.2440 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 0.9188 2023/02/03 08:31:32 - mmengine - INFO - Epoch(train) [244][1720/1879] lr: 7.2942e-04 eta: 3:15:13 time: 0.5165 data_time: 0.0350 memory: 18104 grad_norm: 7.3952 loss: 1.9957 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.0952 top1_acc_1: 0.8353 top5_acc_1: 0.9176 loss_cls_1: 0.9005 2023/02/03 08:31:43 - mmengine - INFO - Epoch(train) [244][1740/1879] lr: 7.2814e-04 eta: 3:15:03 time: 0.5345 data_time: 0.0468 memory: 18104 grad_norm: 7.6655 loss: 2.1709 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2567 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 0.9142 2023/02/03 08:31:54 - mmengine - INFO - Epoch(train) [244][1760/1879] lr: 7.2686e-04 eta: 3:14:53 time: 0.5243 data_time: 0.0353 memory: 18104 grad_norm: 7.4154 loss: 2.0719 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1366 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.9352 2023/02/03 08:32:04 - mmengine - INFO - Epoch(train) [244][1780/1879] lr: 7.2558e-04 eta: 3:14:43 time: 0.5260 data_time: 0.0321 memory: 18104 grad_norm: 7.7298 loss: 2.2896 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3806 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 0.9090 2023/02/03 08:32:14 - mmengine - INFO - Epoch(train) [244][1800/1879] lr: 7.2430e-04 eta: 3:14:32 time: 0.5063 data_time: 0.0333 memory: 18104 grad_norm: 7.6415 loss: 1.9207 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 0.9695 top1_acc_1: 0.8353 top5_acc_1: 0.9647 loss_cls_1: 0.9512 2023/02/03 08:32:25 - mmengine - INFO - Epoch(train) [244][1820/1879] lr: 7.2303e-04 eta: 3:14:22 time: 0.5388 data_time: 0.0379 memory: 18104 grad_norm: 7.5965 loss: 1.9499 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.0032 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 0.9468 2023/02/03 08:32:35 - mmengine - INFO - Epoch(train) [244][1840/1879] lr: 7.2175e-04 eta: 3:14:12 time: 0.5125 data_time: 0.0344 memory: 18104 grad_norm: 7.6887 loss: 2.1109 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1667 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 0.9441 2023/02/03 08:32:46 - mmengine - INFO - Epoch(train) [244][1860/1879] lr: 7.2048e-04 eta: 3:14:01 time: 0.5204 data_time: 0.0311 memory: 18104 grad_norm: 7.6487 loss: 2.0281 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1240 top1_acc_1: 0.8353 top5_acc_1: 0.8941 loss_cls_1: 0.9041 2023/02/03 08:32:55 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 08:32:55 - mmengine - INFO - Epoch(train) [244][1879/1879] lr: 7.1927e-04 eta: 3:13:52 time: 0.4921 data_time: 0.0299 memory: 18104 grad_norm: 7.8062 loss: 2.1154 top1_acc_0: 0.4286 top5_acc_0: 0.7143 loss_cls_0: 1.2090 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9065 2023/02/03 08:32:56 - mmengine - INFO - Saving checkpoint at 244 epochs 2023/02/03 08:33:07 - mmengine - INFO - Epoch(val) [244][ 20/155] eta: 0:01:01 time: 0.4569 data_time: 0.3448 memory: 1900 2023/02/03 08:33:15 - mmengine - INFO - Epoch(val) [244][ 40/155] eta: 0:00:51 time: 0.4431 data_time: 0.3318 memory: 1900 2023/02/03 08:33:24 - mmengine - INFO - Epoch(val) [244][ 60/155] eta: 0:00:42 time: 0.4284 data_time: 0.3170 memory: 1900 2023/02/03 08:33:33 - mmengine - INFO - Epoch(val) [244][ 80/155] eta: 0:00:33 time: 0.4630 data_time: 0.3519 memory: 1900 2023/02/03 08:33:42 - mmengine - INFO - Epoch(val) [244][100/155] eta: 0:00:24 time: 0.4447 data_time: 0.3328 memory: 1900 2023/02/03 08:33:51 - mmengine - INFO - Epoch(val) [244][120/155] eta: 0:00:15 time: 0.4494 data_time: 0.3381 memory: 1900 2023/02/03 08:34:00 - mmengine - INFO - Epoch(val) [244][140/155] eta: 0:00:06 time: 0.4416 data_time: 0.3302 memory: 1900 2023/02/03 08:34:08 - mmengine - INFO - Epoch(val) [244][155/155] acc/top1: 0.7080 acc/top5: 0.8888 acc/mean1: 0.7079 2023/02/03 08:34:08 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_240.pth is removed 2023/02/03 08:34:10 - mmengine - INFO - The best checkpoint with 0.7080 acc/top1 at 244 epoch is saved to best_acc/top1_epoch_244.pth. 2023/02/03 08:34:24 - mmengine - INFO - Epoch(train) [245][ 20/1879] lr: 7.1800e-04 eta: 3:13:42 time: 0.6965 data_time: 0.2378 memory: 18104 grad_norm: 7.5641 loss: 2.0499 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1202 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 0.9297 2023/02/03 08:34:34 - mmengine - INFO - Epoch(train) [245][ 40/1879] lr: 7.1672e-04 eta: 3:13:31 time: 0.4801 data_time: 0.0302 memory: 18104 grad_norm: 7.6545 loss: 2.1248 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2318 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.8929 2023/02/03 08:34:44 - mmengine - INFO - Epoch(train) [245][ 60/1879] lr: 7.1545e-04 eta: 3:13:21 time: 0.5013 data_time: 0.0374 memory: 18104 grad_norm: 7.7299 loss: 2.0837 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1573 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9264 2023/02/03 08:34:54 - mmengine - INFO - Epoch(train) [245][ 80/1879] lr: 7.1419e-04 eta: 3:13:11 time: 0.5213 data_time: 0.0299 memory: 18104 grad_norm: 7.4529 loss: 1.9392 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0212 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9180 2023/02/03 08:35:04 - mmengine - INFO - Epoch(train) [245][ 100/1879] lr: 7.1292e-04 eta: 3:13:00 time: 0.4889 data_time: 0.0359 memory: 18104 grad_norm: 7.5640 loss: 1.8050 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 0.9371 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.8679 2023/02/03 08:35:14 - mmengine - INFO - Epoch(train) [245][ 120/1879] lr: 7.1165e-04 eta: 3:12:50 time: 0.4778 data_time: 0.0320 memory: 18104 grad_norm: 7.6206 loss: 2.2529 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.2789 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 0.9740 2023/02/03 08:35:24 - mmengine - INFO - Epoch(train) [245][ 140/1879] lr: 7.1039e-04 eta: 3:12:40 time: 0.5202 data_time: 0.0419 memory: 18104 grad_norm: 7.4639 loss: 1.8420 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 0.9585 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.8835 2023/02/03 08:35:34 - mmengine - INFO - Epoch(train) [245][ 160/1879] lr: 7.0912e-04 eta: 3:12:29 time: 0.4986 data_time: 0.0297 memory: 18104 grad_norm: 7.3613 loss: 1.9113 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 0.9761 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 0.9352 2023/02/03 08:35:44 - mmengine - INFO - Epoch(train) [245][ 180/1879] lr: 7.0786e-04 eta: 3:12:19 time: 0.5002 data_time: 0.0388 memory: 18104 grad_norm: 7.6744 loss: 2.0554 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1022 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 0.9532 2023/02/03 08:35:54 - mmengine - INFO - Epoch(train) [245][ 200/1879] lr: 7.0660e-04 eta: 3:12:08 time: 0.5071 data_time: 0.0407 memory: 18104 grad_norm: 7.6358 loss: 2.1615 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.2251 top1_acc_1: 0.6824 top5_acc_1: 0.8941 loss_cls_1: 0.9364 2023/02/03 08:36:05 - mmengine - INFO - Epoch(train) [245][ 220/1879] lr: 7.0533e-04 eta: 3:11:58 time: 0.5308 data_time: 0.0388 memory: 18104 grad_norm: 7.4829 loss: 1.7981 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 0.9996 top1_acc_1: 0.8118 top5_acc_1: 0.9647 loss_cls_1: 0.7985 2023/02/03 08:36:15 - mmengine - INFO - Epoch(train) [245][ 240/1879] lr: 7.0407e-04 eta: 3:11:48 time: 0.4916 data_time: 0.0291 memory: 18104 grad_norm: 7.5087 loss: 1.9708 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1057 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 0.8651 2023/02/03 08:36:25 - mmengine - INFO - Epoch(train) [245][ 260/1879] lr: 7.0282e-04 eta: 3:11:37 time: 0.5051 data_time: 0.0361 memory: 18104 grad_norm: 7.5845 loss: 1.8732 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 0.9637 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 0.9095 2023/02/03 08:36:35 - mmengine - INFO - Epoch(train) [245][ 280/1879] lr: 7.0156e-04 eta: 3:11:27 time: 0.5237 data_time: 0.0354 memory: 18104 grad_norm: 7.6173 loss: 2.2823 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.4102 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.8721 2023/02/03 08:36:46 - mmengine - INFO - Epoch(train) [245][ 300/1879] lr: 7.0030e-04 eta: 3:11:17 time: 0.5280 data_time: 0.0356 memory: 18104 grad_norm: 7.7775 loss: 2.1677 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2598 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.9079 2023/02/03 08:36:56 - mmengine - INFO - Epoch(train) [245][ 320/1879] lr: 6.9905e-04 eta: 3:11:06 time: 0.4890 data_time: 0.0297 memory: 18104 grad_norm: 7.5719 loss: 2.0484 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1129 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9355 2023/02/03 08:37:06 - mmengine - INFO - Epoch(train) [245][ 340/1879] lr: 6.9779e-04 eta: 3:10:56 time: 0.5190 data_time: 0.0450 memory: 18104 grad_norm: 7.4752 loss: 2.0501 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1447 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 0.9054 2023/02/03 08:37:16 - mmengine - INFO - Epoch(train) [245][ 360/1879] lr: 6.9654e-04 eta: 3:10:46 time: 0.5034 data_time: 0.0290 memory: 18104 grad_norm: 7.8683 loss: 2.0283 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.1237 top1_acc_1: 0.7882 top5_acc_1: 0.8706 loss_cls_1: 0.9047 2023/02/03 08:37:26 - mmengine - INFO - Epoch(train) [245][ 380/1879] lr: 6.9529e-04 eta: 3:10:35 time: 0.5123 data_time: 0.0376 memory: 18104 grad_norm: 7.5925 loss: 2.0264 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.0527 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9737 2023/02/03 08:37:36 - mmengine - INFO - Epoch(train) [245][ 400/1879] lr: 6.9403e-04 eta: 3:10:25 time: 0.4980 data_time: 0.0304 memory: 18104 grad_norm: 7.5722 loss: 2.2470 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.3390 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9080 2023/02/03 08:37:47 - mmengine - INFO - Epoch(train) [245][ 420/1879] lr: 6.9278e-04 eta: 3:10:15 time: 0.5227 data_time: 0.0389 memory: 18104 grad_norm: 7.6666 loss: 2.1834 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.2282 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 0.9552 2023/02/03 08:37:57 - mmengine - INFO - Epoch(train) [245][ 440/1879] lr: 6.9154e-04 eta: 3:10:04 time: 0.5086 data_time: 0.0284 memory: 18104 grad_norm: 7.5687 loss: 1.9730 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.0541 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.9189 2023/02/03 08:38:07 - mmengine - INFO - Epoch(train) [245][ 460/1879] lr: 6.9029e-04 eta: 3:09:54 time: 0.5076 data_time: 0.0375 memory: 18104 grad_norm: 7.5810 loss: 2.1497 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.1794 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 0.9703 2023/02/03 08:38:18 - mmengine - INFO - Epoch(train) [245][ 480/1879] lr: 6.8904e-04 eta: 3:09:44 time: 0.5211 data_time: 0.0397 memory: 18104 grad_norm: 7.7252 loss: 2.1742 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2351 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 0.9391 2023/02/03 08:38:28 - mmengine - INFO - Epoch(train) [245][ 500/1879] lr: 6.8780e-04 eta: 3:09:33 time: 0.5155 data_time: 0.0367 memory: 18104 grad_norm: 7.4059 loss: 2.0964 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.2689 top1_acc_1: 0.8588 top5_acc_1: 0.9647 loss_cls_1: 0.8274 2023/02/03 08:38:38 - mmengine - INFO - Epoch(train) [245][ 520/1879] lr: 6.8655e-04 eta: 3:09:23 time: 0.5166 data_time: 0.0276 memory: 18104 grad_norm: 7.5375 loss: 2.0650 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1274 top1_acc_1: 0.8588 top5_acc_1: 0.9176 loss_cls_1: 0.9376 2023/02/03 08:38:40 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 08:38:49 - mmengine - INFO - Epoch(train) [245][ 540/1879] lr: 6.8531e-04 eta: 3:09:13 time: 0.5196 data_time: 0.0469 memory: 18104 grad_norm: 7.6814 loss: 2.0552 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.1728 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.8824 2023/02/03 08:38:59 - mmengine - INFO - Epoch(train) [245][ 560/1879] lr: 6.8407e-04 eta: 3:09:03 time: 0.5273 data_time: 0.0299 memory: 18104 grad_norm: 7.5007 loss: 2.0372 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.1367 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9005 2023/02/03 08:39:10 - mmengine - INFO - Epoch(train) [245][ 580/1879] lr: 6.8283e-04 eta: 3:08:52 time: 0.5148 data_time: 0.0362 memory: 18104 grad_norm: 7.4674 loss: 2.1160 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2236 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 0.8923 2023/02/03 08:39:20 - mmengine - INFO - Epoch(train) [245][ 600/1879] lr: 6.8159e-04 eta: 3:08:42 time: 0.5126 data_time: 0.0283 memory: 18104 grad_norm: 7.3899 loss: 1.7643 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 0.8634 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.9008 2023/02/03 08:39:31 - mmengine - INFO - Epoch(train) [245][ 620/1879] lr: 6.8035e-04 eta: 3:08:32 time: 0.5333 data_time: 0.0439 memory: 18104 grad_norm: 7.7472 loss: 2.0011 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.0986 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9026 2023/02/03 08:39:41 - mmengine - INFO - Epoch(train) [245][ 640/1879] lr: 6.7911e-04 eta: 3:08:21 time: 0.4984 data_time: 0.0275 memory: 18104 grad_norm: 7.6074 loss: 2.1145 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.1701 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 0.9444 2023/02/03 08:39:51 - mmengine - INFO - Epoch(train) [245][ 660/1879] lr: 6.7787e-04 eta: 3:08:11 time: 0.5090 data_time: 0.0360 memory: 18104 grad_norm: 7.5354 loss: 2.0428 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1828 top1_acc_1: 0.8471 top5_acc_1: 0.9294 loss_cls_1: 0.8600 2023/02/03 08:40:01 - mmengine - INFO - Epoch(train) [245][ 680/1879] lr: 6.7664e-04 eta: 3:08:01 time: 0.5295 data_time: 0.0347 memory: 18104 grad_norm: 7.7978 loss: 1.8456 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.0268 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.8188 2023/02/03 08:40:12 - mmengine - INFO - Epoch(train) [245][ 700/1879] lr: 6.7540e-04 eta: 3:07:50 time: 0.5275 data_time: 0.0340 memory: 18104 grad_norm: 7.6776 loss: 2.1289 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.1912 top1_acc_1: 0.8588 top5_acc_1: 0.9765 loss_cls_1: 0.9377 2023/02/03 08:40:22 - mmengine - INFO - Epoch(train) [245][ 720/1879] lr: 6.7417e-04 eta: 3:07:40 time: 0.5156 data_time: 0.0300 memory: 18104 grad_norm: 7.4147 loss: 2.1450 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.1905 top1_acc_1: 0.8235 top5_acc_1: 0.8941 loss_cls_1: 0.9545 2023/02/03 08:40:33 - mmengine - INFO - Epoch(train) [245][ 740/1879] lr: 6.7294e-04 eta: 3:07:30 time: 0.5220 data_time: 0.0427 memory: 18104 grad_norm: 7.6636 loss: 2.0183 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.0838 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9345 2023/02/03 08:40:43 - mmengine - INFO - Epoch(train) [245][ 760/1879] lr: 6.7171e-04 eta: 3:07:19 time: 0.5191 data_time: 0.0279 memory: 18104 grad_norm: 7.4851 loss: 2.0404 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.1286 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.9118 2023/02/03 08:40:53 - mmengine - INFO - Epoch(train) [245][ 780/1879] lr: 6.7048e-04 eta: 3:07:09 time: 0.5058 data_time: 0.0368 memory: 18104 grad_norm: 7.4632 loss: 2.0226 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0759 top1_acc_1: 0.8353 top5_acc_1: 0.8824 loss_cls_1: 0.9467 2023/02/03 08:41:03 - mmengine - INFO - Epoch(train) [245][ 800/1879] lr: 6.6925e-04 eta: 3:06:59 time: 0.5049 data_time: 0.0302 memory: 18104 grad_norm: 7.5335 loss: 2.0333 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0994 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 0.9340 2023/02/03 08:41:14 - mmengine - INFO - Epoch(train) [245][ 820/1879] lr: 6.6802e-04 eta: 3:06:49 time: 0.5344 data_time: 0.0363 memory: 18104 grad_norm: 7.3563 loss: 1.9973 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1171 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.8802 2023/02/03 08:41:24 - mmengine - INFO - Epoch(train) [245][ 840/1879] lr: 6.6679e-04 eta: 3:06:38 time: 0.5066 data_time: 0.0296 memory: 18104 grad_norm: 7.5338 loss: 2.1352 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.2207 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 0.9145 2023/02/03 08:41:35 - mmengine - INFO - Epoch(train) [245][ 860/1879] lr: 6.6557e-04 eta: 3:06:28 time: 0.5119 data_time: 0.0382 memory: 18104 grad_norm: 7.4961 loss: 2.0032 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0754 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 0.9277 2023/02/03 08:41:45 - mmengine - INFO - Epoch(train) [245][ 880/1879] lr: 6.6435e-04 eta: 3:06:18 time: 0.5195 data_time: 0.0380 memory: 18104 grad_norm: 7.5235 loss: 2.0788 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.1198 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9591 2023/02/03 08:41:56 - mmengine - INFO - Epoch(train) [245][ 900/1879] lr: 6.6312e-04 eta: 3:06:07 time: 0.5285 data_time: 0.0381 memory: 18104 grad_norm: 7.5730 loss: 1.9510 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.0774 top1_acc_1: 0.8471 top5_acc_1: 0.9294 loss_cls_1: 0.8736 2023/02/03 08:42:06 - mmengine - INFO - Epoch(train) [245][ 920/1879] lr: 6.6190e-04 eta: 3:05:57 time: 0.5146 data_time: 0.0295 memory: 18104 grad_norm: 7.7818 loss: 2.2125 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.3276 top1_acc_1: 0.7882 top5_acc_1: 0.9647 loss_cls_1: 0.8849 2023/02/03 08:42:16 - mmengine - INFO - Epoch(train) [245][ 940/1879] lr: 6.6068e-04 eta: 3:05:47 time: 0.5165 data_time: 0.0367 memory: 18104 grad_norm: 7.5763 loss: 2.0346 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.0808 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9538 2023/02/03 08:42:27 - mmengine - INFO - Epoch(train) [245][ 960/1879] lr: 6.5946e-04 eta: 3:05:36 time: 0.5175 data_time: 0.0301 memory: 18104 grad_norm: 7.6291 loss: 2.0742 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.1503 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9239 2023/02/03 08:42:37 - mmengine - INFO - Epoch(train) [245][ 980/1879] lr: 6.5824e-04 eta: 3:05:26 time: 0.5246 data_time: 0.0382 memory: 18104 grad_norm: 7.6628 loss: 2.0348 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0952 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.9397 2023/02/03 08:42:48 - mmengine - INFO - Epoch(train) [245][1000/1879] lr: 6.5702e-04 eta: 3:05:16 time: 0.5247 data_time: 0.0287 memory: 18104 grad_norm: 7.7132 loss: 1.8752 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0364 top1_acc_1: 0.8471 top5_acc_1: 0.9765 loss_cls_1: 0.8389 2023/02/03 08:42:58 - mmengine - INFO - Epoch(train) [245][1020/1879] lr: 6.5581e-04 eta: 3:05:05 time: 0.5336 data_time: 0.0358 memory: 18104 grad_norm: 7.7956 loss: 2.0343 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.0952 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9391 2023/02/03 08:43:09 - mmengine - INFO - Epoch(train) [245][1040/1879] lr: 6.5459e-04 eta: 3:04:55 time: 0.5184 data_time: 0.0292 memory: 18104 grad_norm: 7.4791 loss: 1.9531 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0238 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9293 2023/02/03 08:43:19 - mmengine - INFO - Epoch(train) [245][1060/1879] lr: 6.5338e-04 eta: 3:04:45 time: 0.5079 data_time: 0.0360 memory: 18104 grad_norm: 7.5606 loss: 1.8982 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 0.9976 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9006 2023/02/03 08:43:30 - mmengine - INFO - Epoch(train) [245][1080/1879] lr: 6.5217e-04 eta: 3:04:35 time: 0.5262 data_time: 0.0364 memory: 18104 grad_norm: 7.6210 loss: 2.1566 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.2262 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.9304 2023/02/03 08:43:40 - mmengine - INFO - Epoch(train) [245][1100/1879] lr: 6.5095e-04 eta: 3:04:24 time: 0.5283 data_time: 0.0384 memory: 18104 grad_norm: 7.5612 loss: 1.8429 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 0.9046 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 0.9383 2023/02/03 08:43:51 - mmengine - INFO - Epoch(train) [245][1120/1879] lr: 6.4974e-04 eta: 3:04:14 time: 0.5187 data_time: 0.0310 memory: 18104 grad_norm: 7.4012 loss: 2.0548 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.1130 top1_acc_1: 0.8588 top5_acc_1: 0.9765 loss_cls_1: 0.9418 2023/02/03 08:44:01 - mmengine - INFO - Epoch(train) [245][1140/1879] lr: 6.4853e-04 eta: 3:04:04 time: 0.5349 data_time: 0.0476 memory: 18104 grad_norm: 7.6664 loss: 2.1614 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2018 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9596 2023/02/03 08:44:11 - mmengine - INFO - Epoch(train) [245][1160/1879] lr: 6.4732e-04 eta: 3:03:53 time: 0.5110 data_time: 0.0308 memory: 18104 grad_norm: 7.6459 loss: 1.8235 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 0.9775 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 0.8460 2023/02/03 08:44:22 - mmengine - INFO - Epoch(train) [245][1180/1879] lr: 6.4612e-04 eta: 3:03:43 time: 0.5152 data_time: 0.0385 memory: 18104 grad_norm: 7.6754 loss: 2.0594 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1650 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 0.8944 2023/02/03 08:44:32 - mmengine - INFO - Epoch(train) [245][1200/1879] lr: 6.4491e-04 eta: 3:03:33 time: 0.5175 data_time: 0.0285 memory: 18104 grad_norm: 7.6537 loss: 2.0966 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.1643 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 0.9323 2023/02/03 08:44:43 - mmengine - INFO - Epoch(train) [245][1220/1879] lr: 6.4371e-04 eta: 3:03:22 time: 0.5236 data_time: 0.0441 memory: 18104 grad_norm: 7.6345 loss: 2.0011 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.0717 top1_acc_1: 0.7412 top5_acc_1: 0.8471 loss_cls_1: 0.9294 2023/02/03 08:44:53 - mmengine - INFO - Epoch(train) [245][1240/1879] lr: 6.4250e-04 eta: 3:03:12 time: 0.5198 data_time: 0.0300 memory: 18104 grad_norm: 7.5496 loss: 2.0234 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.0714 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.9521 2023/02/03 08:45:04 - mmengine - INFO - Epoch(train) [245][1260/1879] lr: 6.4130e-04 eta: 3:03:02 time: 0.5255 data_time: 0.0391 memory: 18104 grad_norm: 7.6741 loss: 1.8246 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 0.9681 top1_acc_1: 0.7882 top5_acc_1: 0.8706 loss_cls_1: 0.8565 2023/02/03 08:45:14 - mmengine - INFO - Epoch(train) [245][1280/1879] lr: 6.4010e-04 eta: 3:02:52 time: 0.5280 data_time: 0.0374 memory: 18104 grad_norm: 7.6386 loss: 2.0449 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1751 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.8699 2023/02/03 08:45:25 - mmengine - INFO - Epoch(train) [245][1300/1879] lr: 6.3890e-04 eta: 3:02:41 time: 0.5151 data_time: 0.0392 memory: 18104 grad_norm: 7.4454 loss: 2.0253 top1_acc_0: 0.3750 top5_acc_0: 0.9375 loss_cls_0: 1.1223 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 0.9030 2023/02/03 08:45:35 - mmengine - INFO - Epoch(train) [245][1320/1879] lr: 6.3770e-04 eta: 3:02:31 time: 0.5253 data_time: 0.0302 memory: 18104 grad_norm: 7.4736 loss: 2.1219 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1929 top1_acc_1: 0.8353 top5_acc_1: 0.9059 loss_cls_1: 0.9290 2023/02/03 08:45:46 - mmengine - INFO - Epoch(train) [245][1340/1879] lr: 6.3650e-04 eta: 3:02:21 time: 0.5249 data_time: 0.0449 memory: 18104 grad_norm: 7.6236 loss: 2.1180 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1756 top1_acc_1: 0.8588 top5_acc_1: 0.9529 loss_cls_1: 0.9424 2023/02/03 08:45:56 - mmengine - INFO - Epoch(train) [245][1360/1879] lr: 6.3530e-04 eta: 3:02:10 time: 0.5185 data_time: 0.0290 memory: 18104 grad_norm: 7.6147 loss: 2.0775 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1318 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 0.9457 2023/02/03 08:46:07 - mmengine - INFO - Epoch(train) [245][1380/1879] lr: 6.3410e-04 eta: 3:02:00 time: 0.5263 data_time: 0.0366 memory: 18104 grad_norm: 7.4957 loss: 1.9983 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0858 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9125 2023/02/03 08:46:17 - mmengine - INFO - Epoch(train) [245][1400/1879] lr: 6.3291e-04 eta: 3:01:50 time: 0.5387 data_time: 0.0289 memory: 18104 grad_norm: 7.9322 loss: 2.1110 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1822 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 0.9288 2023/02/03 08:46:28 - mmengine - INFO - Epoch(train) [245][1420/1879] lr: 6.3172e-04 eta: 3:01:39 time: 0.5131 data_time: 0.0430 memory: 18104 grad_norm: 7.7751 loss: 1.9803 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.0950 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 0.8853 2023/02/03 08:46:38 - mmengine - INFO - Epoch(train) [245][1440/1879] lr: 6.3052e-04 eta: 3:01:29 time: 0.5184 data_time: 0.0284 memory: 18104 grad_norm: 7.5049 loss: 1.8164 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 0.9416 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 0.8748 2023/02/03 08:46:49 - mmengine - INFO - Epoch(train) [245][1460/1879] lr: 6.2933e-04 eta: 3:01:19 time: 0.5371 data_time: 0.0365 memory: 18104 grad_norm: 7.6450 loss: 2.0675 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1399 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9276 2023/02/03 08:46:59 - mmengine - INFO - Epoch(train) [245][1480/1879] lr: 6.2814e-04 eta: 3:01:09 time: 0.5264 data_time: 0.0287 memory: 18104 grad_norm: 7.5943 loss: 2.2398 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3280 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9118 2023/02/03 08:47:10 - mmengine - INFO - Epoch(train) [245][1500/1879] lr: 6.2695e-04 eta: 3:00:58 time: 0.5251 data_time: 0.0358 memory: 18104 grad_norm: 7.5944 loss: 2.2922 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.3398 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 0.9524 2023/02/03 08:47:20 - mmengine - INFO - Epoch(train) [245][1520/1879] lr: 6.2576e-04 eta: 3:00:48 time: 0.5128 data_time: 0.0299 memory: 18104 grad_norm: 7.6311 loss: 2.0875 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1509 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.9367 2023/02/03 08:47:22 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 08:47:31 - mmengine - INFO - Epoch(train) [245][1540/1879] lr: 6.2458e-04 eta: 3:00:38 time: 0.5294 data_time: 0.0440 memory: 18104 grad_norm: 7.6836 loss: 1.9320 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0343 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.8977 2023/02/03 08:47:41 - mmengine - INFO - Epoch(train) [245][1560/1879] lr: 6.2339e-04 eta: 3:00:27 time: 0.5206 data_time: 0.0288 memory: 18104 grad_norm: 7.8076 loss: 2.0177 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1479 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 0.8697 2023/02/03 08:47:52 - mmengine - INFO - Epoch(train) [245][1580/1879] lr: 6.2220e-04 eta: 3:00:17 time: 0.5335 data_time: 0.0364 memory: 18104 grad_norm: 7.5036 loss: 1.8818 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0451 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.8368 2023/02/03 08:48:02 - mmengine - INFO - Epoch(train) [245][1600/1879] lr: 6.2102e-04 eta: 3:00:07 time: 0.5077 data_time: 0.0294 memory: 18104 grad_norm: 7.8510 loss: 2.2395 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2789 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9606 2023/02/03 08:48:12 - mmengine - INFO - Epoch(train) [245][1620/1879] lr: 6.1984e-04 eta: 2:59:57 time: 0.5193 data_time: 0.0439 memory: 18104 grad_norm: 7.7097 loss: 2.2585 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.3084 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9501 2023/02/03 08:48:23 - mmengine - INFO - Epoch(train) [245][1640/1879] lr: 6.1866e-04 eta: 2:59:46 time: 0.5123 data_time: 0.0303 memory: 18104 grad_norm: 7.4592 loss: 2.0171 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.0619 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9553 2023/02/03 08:48:33 - mmengine - INFO - Epoch(train) [245][1660/1879] lr: 6.1748e-04 eta: 2:59:36 time: 0.5235 data_time: 0.0371 memory: 18104 grad_norm: 7.5568 loss: 2.0556 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.1505 top1_acc_1: 0.8353 top5_acc_1: 0.9176 loss_cls_1: 0.9050 2023/02/03 08:48:44 - mmengine - INFO - Epoch(train) [245][1680/1879] lr: 6.1630e-04 eta: 2:59:26 time: 0.5312 data_time: 0.0310 memory: 18104 grad_norm: 7.6263 loss: 1.9968 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.1486 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.8482 2023/02/03 08:48:55 - mmengine - INFO - Epoch(train) [245][1700/1879] lr: 6.1512e-04 eta: 2:59:15 time: 0.5302 data_time: 0.0344 memory: 18104 grad_norm: 7.6048 loss: 2.1454 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.2922 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.8533 2023/02/03 08:49:05 - mmengine - INFO - Epoch(train) [245][1720/1879] lr: 6.1394e-04 eta: 2:59:05 time: 0.5240 data_time: 0.0337 memory: 18104 grad_norm: 7.7582 loss: 2.0765 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1600 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9165 2023/02/03 08:49:15 - mmengine - INFO - Epoch(train) [245][1740/1879] lr: 6.1276e-04 eta: 2:58:55 time: 0.5152 data_time: 0.0345 memory: 18104 grad_norm: 7.6877 loss: 2.0360 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.1255 top1_acc_1: 0.7765 top5_acc_1: 0.9765 loss_cls_1: 0.9105 2023/02/03 08:49:26 - mmengine - INFO - Epoch(train) [245][1760/1879] lr: 6.1159e-04 eta: 2:58:44 time: 0.5189 data_time: 0.0395 memory: 18104 grad_norm: 7.5912 loss: 2.1518 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1968 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9550 2023/02/03 08:49:36 - mmengine - INFO - Epoch(train) [245][1780/1879] lr: 6.1042e-04 eta: 2:58:34 time: 0.5235 data_time: 0.0347 memory: 18104 grad_norm: 7.6058 loss: 2.0811 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1261 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9550 2023/02/03 08:49:47 - mmengine - INFO - Epoch(train) [245][1800/1879] lr: 6.0924e-04 eta: 2:58:24 time: 0.5288 data_time: 0.0329 memory: 18104 grad_norm: 7.4217 loss: 1.9706 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0613 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9093 2023/02/03 08:49:57 - mmengine - INFO - Epoch(train) [245][1820/1879] lr: 6.0807e-04 eta: 2:58:14 time: 0.5150 data_time: 0.0352 memory: 18104 grad_norm: 7.6596 loss: 1.8490 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 0.9452 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.9038 2023/02/03 08:50:08 - mmengine - INFO - Epoch(train) [245][1840/1879] lr: 6.0690e-04 eta: 2:58:03 time: 0.5169 data_time: 0.0336 memory: 18104 grad_norm: 7.4993 loss: 2.0984 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1715 top1_acc_1: 0.8235 top5_acc_1: 0.9647 loss_cls_1: 0.9268 2023/02/03 08:50:18 - mmengine - INFO - Epoch(train) [245][1860/1879] lr: 6.0573e-04 eta: 2:57:53 time: 0.5192 data_time: 0.0367 memory: 18104 grad_norm: 7.5353 loss: 2.0345 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0689 top1_acc_1: 0.8235 top5_acc_1: 0.9059 loss_cls_1: 0.9656 2023/02/03 08:50:27 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 08:50:27 - mmengine - INFO - Epoch(train) [245][1879/1879] lr: 6.0462e-04 eta: 2:57:43 time: 0.4889 data_time: 0.0286 memory: 18104 grad_norm: 7.7495 loss: 1.9176 top1_acc_0: 0.8571 top5_acc_0: 0.8571 loss_cls_0: 1.0015 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.9161 2023/02/03 08:50:42 - mmengine - INFO - Epoch(train) [246][ 20/1879] lr: 6.0345e-04 eta: 2:57:33 time: 0.7114 data_time: 0.2525 memory: 18104 grad_norm: 7.6654 loss: 2.0569 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1094 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 0.9474 2023/02/03 08:50:52 - mmengine - INFO - Epoch(train) [246][ 40/1879] lr: 6.0229e-04 eta: 2:57:23 time: 0.4721 data_time: 0.0324 memory: 18104 grad_norm: 7.6174 loss: 2.1313 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2092 top1_acc_1: 0.6941 top5_acc_1: 0.9412 loss_cls_1: 0.9220 2023/02/03 08:51:02 - mmengine - INFO - Epoch(train) [246][ 60/1879] lr: 6.0112e-04 eta: 2:57:12 time: 0.4841 data_time: 0.0477 memory: 18104 grad_norm: 7.5340 loss: 2.0077 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0685 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 0.9392 2023/02/03 08:51:12 - mmengine - INFO - Epoch(train) [246][ 80/1879] lr: 5.9996e-04 eta: 2:57:02 time: 0.5001 data_time: 0.0309 memory: 18104 grad_norm: 7.6395 loss: 2.0196 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.1447 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 0.8749 2023/02/03 08:51:21 - mmengine - INFO - Epoch(train) [246][ 100/1879] lr: 5.9880e-04 eta: 2:56:52 time: 0.4791 data_time: 0.0404 memory: 18104 grad_norm: 7.6564 loss: 2.1894 top1_acc_0: 0.5000 top5_acc_0: 1.0000 loss_cls_0: 1.2610 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9284 2023/02/03 08:51:31 - mmengine - INFO - Epoch(train) [246][ 120/1879] lr: 5.9764e-04 eta: 2:56:41 time: 0.4735 data_time: 0.0315 memory: 18104 grad_norm: 7.7422 loss: 2.2219 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.2475 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9743 2023/02/03 08:51:41 - mmengine - INFO - Epoch(train) [246][ 140/1879] lr: 5.9648e-04 eta: 2:56:31 time: 0.5089 data_time: 0.0455 memory: 18104 grad_norm: 7.4310 loss: 2.0539 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.1161 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.9378 2023/02/03 08:51:51 - mmengine - INFO - Epoch(train) [246][ 160/1879] lr: 5.9532e-04 eta: 2:56:20 time: 0.4854 data_time: 0.0300 memory: 18104 grad_norm: 7.4298 loss: 1.9930 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1213 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.8717 2023/02/03 08:52:00 - mmengine - INFO - Epoch(train) [246][ 180/1879] lr: 5.9416e-04 eta: 2:56:10 time: 0.4819 data_time: 0.0370 memory: 18104 grad_norm: 7.7005 loss: 2.1054 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.2384 top1_acc_1: 0.8353 top5_acc_1: 0.8824 loss_cls_1: 0.8670 2023/02/03 08:52:10 - mmengine - INFO - Epoch(train) [246][ 200/1879] lr: 5.9300e-04 eta: 2:56:00 time: 0.4845 data_time: 0.0355 memory: 18104 grad_norm: 7.5098 loss: 2.0025 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0545 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9480 2023/02/03 08:52:20 - mmengine - INFO - Epoch(train) [246][ 220/1879] lr: 5.9185e-04 eta: 2:55:49 time: 0.5127 data_time: 0.0361 memory: 18104 grad_norm: 7.6607 loss: 1.8942 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 0.9359 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9584 2023/02/03 08:52:30 - mmengine - INFO - Epoch(train) [246][ 240/1879] lr: 5.9069e-04 eta: 2:55:39 time: 0.4786 data_time: 0.0291 memory: 18104 grad_norm: 7.3881 loss: 1.9528 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0497 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 0.9031 2023/02/03 08:52:40 - mmengine - INFO - Epoch(train) [246][ 260/1879] lr: 5.8954e-04 eta: 2:55:28 time: 0.4947 data_time: 0.0443 memory: 18104 grad_norm: 7.4674 loss: 2.0390 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1572 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 0.8818 2023/02/03 08:52:50 - mmengine - INFO - Epoch(train) [246][ 280/1879] lr: 5.8838e-04 eta: 2:55:18 time: 0.4932 data_time: 0.0316 memory: 18104 grad_norm: 7.8991 loss: 2.3221 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.4275 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.8946 2023/02/03 08:53:00 - mmengine - INFO - Epoch(train) [246][ 300/1879] lr: 5.8723e-04 eta: 2:55:08 time: 0.4942 data_time: 0.0365 memory: 18104 grad_norm: 7.5858 loss: 2.1767 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.2528 top1_acc_1: 0.8235 top5_acc_1: 0.9647 loss_cls_1: 0.9239 2023/02/03 08:53:09 - mmengine - INFO - Epoch(train) [246][ 320/1879] lr: 5.8608e-04 eta: 2:54:57 time: 0.4815 data_time: 0.0346 memory: 18104 grad_norm: 7.7141 loss: 2.1472 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.1684 top1_acc_1: 0.7529 top5_acc_1: 0.8588 loss_cls_1: 0.9789 2023/02/03 08:53:19 - mmengine - INFO - Epoch(train) [246][ 340/1879] lr: 5.8493e-04 eta: 2:54:47 time: 0.4889 data_time: 0.0359 memory: 18104 grad_norm: 7.6697 loss: 1.9968 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1176 top1_acc_1: 0.8471 top5_acc_1: 0.9647 loss_cls_1: 0.8792 2023/02/03 08:53:29 - mmengine - INFO - Epoch(train) [246][ 360/1879] lr: 5.8379e-04 eta: 2:54:37 time: 0.4940 data_time: 0.0332 memory: 18104 grad_norm: 7.6434 loss: 1.9871 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1128 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 0.8743 2023/02/03 08:53:39 - mmengine - INFO - Epoch(train) [246][ 380/1879] lr: 5.8264e-04 eta: 2:54:26 time: 0.4910 data_time: 0.0372 memory: 18104 grad_norm: 7.5353 loss: 2.1379 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.2229 top1_acc_1: 0.7529 top5_acc_1: 0.9765 loss_cls_1: 0.9150 2023/02/03 08:53:48 - mmengine - INFO - Epoch(train) [246][ 400/1879] lr: 5.8149e-04 eta: 2:54:16 time: 0.4846 data_time: 0.0375 memory: 18104 grad_norm: 7.7221 loss: 2.1055 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1148 top1_acc_1: 0.8353 top5_acc_1: 0.9059 loss_cls_1: 0.9907 2023/02/03 08:53:58 - mmengine - INFO - Epoch(train) [246][ 420/1879] lr: 5.8035e-04 eta: 2:54:05 time: 0.4938 data_time: 0.0369 memory: 18104 grad_norm: 7.5749 loss: 2.0558 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1654 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.8904 2023/02/03 08:54:08 - mmengine - INFO - Epoch(train) [246][ 440/1879] lr: 5.7920e-04 eta: 2:53:55 time: 0.4959 data_time: 0.0315 memory: 18104 grad_norm: 7.6217 loss: 1.9378 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0269 top1_acc_1: 0.7529 top5_acc_1: 0.8471 loss_cls_1: 0.9110 2023/02/03 08:54:18 - mmengine - INFO - Epoch(train) [246][ 460/1879] lr: 5.7806e-04 eta: 2:53:45 time: 0.4854 data_time: 0.0438 memory: 18104 grad_norm: 7.7368 loss: 1.9208 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.0402 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.8806 2023/02/03 08:54:28 - mmengine - INFO - Epoch(train) [246][ 480/1879] lr: 5.7692e-04 eta: 2:53:34 time: 0.4802 data_time: 0.0323 memory: 18104 grad_norm: 7.3548 loss: 2.0363 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1130 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9232 2023/02/03 08:54:38 - mmengine - INFO - Epoch(train) [246][ 500/1879] lr: 5.7578e-04 eta: 2:53:24 time: 0.4988 data_time: 0.0364 memory: 18104 grad_norm: 7.6529 loss: 1.9519 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 0.9932 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 0.9586 2023/02/03 08:54:48 - mmengine - INFO - Epoch(train) [246][ 520/1879] lr: 5.7464e-04 eta: 2:53:13 time: 0.4938 data_time: 0.0320 memory: 18104 grad_norm: 7.6338 loss: 2.1024 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1406 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.9618 2023/02/03 08:54:57 - mmengine - INFO - Epoch(train) [246][ 540/1879] lr: 5.7350e-04 eta: 2:53:03 time: 0.4964 data_time: 0.0441 memory: 18104 grad_norm: 7.8354 loss: 2.0756 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2173 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.8582 2023/02/03 08:55:08 - mmengine - INFO - Epoch(train) [246][ 560/1879] lr: 5.7237e-04 eta: 2:52:53 time: 0.5148 data_time: 0.0378 memory: 18104 grad_norm: 7.6445 loss: 2.0866 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1796 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9070 2023/02/03 08:55:18 - mmengine - INFO - Epoch(train) [246][ 580/1879] lr: 5.7123e-04 eta: 2:52:42 time: 0.5020 data_time: 0.0306 memory: 18104 grad_norm: 7.7388 loss: 2.0445 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1383 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9062 2023/02/03 08:55:28 - mmengine - INFO - Epoch(train) [246][ 600/1879] lr: 5.7010e-04 eta: 2:52:32 time: 0.5012 data_time: 0.0435 memory: 18104 grad_norm: 7.6370 loss: 2.0670 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1723 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.8947 2023/02/03 08:55:38 - mmengine - INFO - Epoch(train) [246][ 620/1879] lr: 5.6896e-04 eta: 2:52:22 time: 0.5011 data_time: 0.0328 memory: 18104 grad_norm: 7.6667 loss: 2.0769 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1470 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 0.9299 2023/02/03 08:55:48 - mmengine - INFO - Epoch(train) [246][ 640/1879] lr: 5.6783e-04 eta: 2:52:11 time: 0.5000 data_time: 0.0360 memory: 18104 grad_norm: 7.6214 loss: 1.8532 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 0.9668 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.8864 2023/02/03 08:55:51 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 08:55:58 - mmengine - INFO - Epoch(train) [246][ 660/1879] lr: 5.6670e-04 eta: 2:52:01 time: 0.4965 data_time: 0.0307 memory: 18104 grad_norm: 7.4451 loss: 2.0598 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0770 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.9828 2023/02/03 08:56:08 - mmengine - INFO - Epoch(train) [246][ 680/1879] lr: 5.6557e-04 eta: 2:51:51 time: 0.5003 data_time: 0.0340 memory: 18104 grad_norm: 7.6446 loss: 1.9037 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 0.9983 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 0.9054 2023/02/03 08:56:18 - mmengine - INFO - Epoch(train) [246][ 700/1879] lr: 5.6444e-04 eta: 2:51:40 time: 0.4923 data_time: 0.0296 memory: 18104 grad_norm: 7.4573 loss: 2.1007 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.2082 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 0.8924 2023/02/03 08:56:28 - mmengine - INFO - Epoch(train) [246][ 720/1879] lr: 5.6331e-04 eta: 2:51:30 time: 0.4951 data_time: 0.0375 memory: 18104 grad_norm: 7.6574 loss: 1.8988 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 0.9446 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9542 2023/02/03 08:56:38 - mmengine - INFO - Epoch(train) [246][ 740/1879] lr: 5.6219e-04 eta: 2:51:19 time: 0.5037 data_time: 0.0410 memory: 18104 grad_norm: 7.3073 loss: 1.8454 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 0.9290 top1_acc_1: 0.7882 top5_acc_1: 0.9882 loss_cls_1: 0.9164 2023/02/03 08:56:48 - mmengine - INFO - Epoch(train) [246][ 760/1879] lr: 5.6106e-04 eta: 2:51:09 time: 0.5041 data_time: 0.0327 memory: 18104 grad_norm: 7.4770 loss: 2.0457 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1162 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9295 2023/02/03 08:56:58 - mmengine - INFO - Epoch(train) [246][ 780/1879] lr: 5.5993e-04 eta: 2:50:59 time: 0.4945 data_time: 0.0302 memory: 18104 grad_norm: 7.5236 loss: 1.9341 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 0.9785 top1_acc_1: 0.7294 top5_acc_1: 0.8471 loss_cls_1: 0.9556 2023/02/03 08:57:08 - mmengine - INFO - Epoch(train) [246][ 800/1879] lr: 5.5881e-04 eta: 2:50:48 time: 0.4979 data_time: 0.0347 memory: 18104 grad_norm: 7.6273 loss: 2.0896 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2341 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.8555 2023/02/03 08:57:18 - mmengine - INFO - Epoch(train) [246][ 820/1879] lr: 5.5769e-04 eta: 2:50:38 time: 0.5069 data_time: 0.0384 memory: 18104 grad_norm: 7.6107 loss: 2.0798 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1658 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 0.9140 2023/02/03 08:57:28 - mmengine - INFO - Epoch(train) [246][ 840/1879] lr: 5.5657e-04 eta: 2:50:28 time: 0.4922 data_time: 0.0349 memory: 18104 grad_norm: 7.6636 loss: 2.0296 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.1441 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.8856 2023/02/03 08:57:38 - mmengine - INFO - Epoch(train) [246][ 860/1879] lr: 5.5545e-04 eta: 2:50:17 time: 0.4906 data_time: 0.0328 memory: 18104 grad_norm: 7.7960 loss: 2.0799 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1780 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.9019 2023/02/03 08:57:48 - mmengine - INFO - Epoch(train) [246][ 880/1879] lr: 5.5433e-04 eta: 2:50:07 time: 0.5043 data_time: 0.0403 memory: 18104 grad_norm: 7.6089 loss: 2.0288 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.0947 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9341 2023/02/03 08:57:58 - mmengine - INFO - Epoch(train) [246][ 900/1879] lr: 5.5321e-04 eta: 2:49:56 time: 0.4990 data_time: 0.0333 memory: 18104 grad_norm: 7.5635 loss: 1.8565 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.0085 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 0.8480 2023/02/03 08:58:08 - mmengine - INFO - Epoch(train) [246][ 920/1879] lr: 5.5209e-04 eta: 2:49:46 time: 0.4977 data_time: 0.0342 memory: 18104 grad_norm: 7.5724 loss: 1.9675 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0322 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9353 2023/02/03 08:58:18 - mmengine - INFO - Epoch(train) [246][ 940/1879] lr: 5.5098e-04 eta: 2:49:36 time: 0.5075 data_time: 0.0427 memory: 18104 grad_norm: 7.7664 loss: 2.1282 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.2770 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.8512 2023/02/03 08:58:28 - mmengine - INFO - Epoch(train) [246][ 960/1879] lr: 5.4986e-04 eta: 2:49:25 time: 0.5036 data_time: 0.0331 memory: 18104 grad_norm: 7.6298 loss: 2.1417 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.2086 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.9331 2023/02/03 08:58:38 - mmengine - INFO - Epoch(train) [246][ 980/1879] lr: 5.4875e-04 eta: 2:49:15 time: 0.4946 data_time: 0.0367 memory: 18104 grad_norm: 7.7324 loss: 2.0668 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1336 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.9331 2023/02/03 08:58:48 - mmengine - INFO - Epoch(train) [246][1000/1879] lr: 5.4764e-04 eta: 2:49:05 time: 0.4922 data_time: 0.0337 memory: 18104 grad_norm: 7.5291 loss: 2.0817 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2522 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.8295 2023/02/03 08:58:58 - mmengine - INFO - Epoch(train) [246][1020/1879] lr: 5.4653e-04 eta: 2:48:54 time: 0.5119 data_time: 0.0480 memory: 18104 grad_norm: 7.3657 loss: 1.8949 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.0235 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 0.8714 2023/02/03 08:59:08 - mmengine - INFO - Epoch(train) [246][1040/1879] lr: 5.4542e-04 eta: 2:48:44 time: 0.4901 data_time: 0.0339 memory: 18104 grad_norm: 7.4185 loss: 2.0657 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1112 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9545 2023/02/03 08:59:18 - mmengine - INFO - Epoch(train) [246][1060/1879] lr: 5.4431e-04 eta: 2:48:34 time: 0.4957 data_time: 0.0355 memory: 18104 grad_norm: 7.4317 loss: 1.9711 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.0665 top1_acc_1: 0.6824 top5_acc_1: 0.9176 loss_cls_1: 0.9045 2023/02/03 08:59:28 - mmengine - INFO - Epoch(train) [246][1080/1879] lr: 5.4320e-04 eta: 2:48:23 time: 0.4943 data_time: 0.0313 memory: 18104 grad_norm: 7.7308 loss: 2.1709 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2960 top1_acc_1: 0.8471 top5_acc_1: 0.9294 loss_cls_1: 0.8749 2023/02/03 08:59:38 - mmengine - INFO - Epoch(train) [246][1100/1879] lr: 5.4210e-04 eta: 2:48:13 time: 0.5202 data_time: 0.0413 memory: 18104 grad_norm: 7.7324 loss: 2.0635 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1615 top1_acc_1: 0.8353 top5_acc_1: 0.9765 loss_cls_1: 0.9020 2023/02/03 08:59:48 - mmengine - INFO - Epoch(train) [246][1120/1879] lr: 5.4099e-04 eta: 2:48:02 time: 0.4897 data_time: 0.0324 memory: 18104 grad_norm: 7.5931 loss: 1.9981 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0487 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.9494 2023/02/03 08:59:58 - mmengine - INFO - Epoch(train) [246][1140/1879] lr: 5.3989e-04 eta: 2:47:52 time: 0.4935 data_time: 0.0349 memory: 18104 grad_norm: 7.5044 loss: 1.8970 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 0.9943 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 0.9027 2023/02/03 09:00:08 - mmengine - INFO - Epoch(train) [246][1160/1879] lr: 5.3878e-04 eta: 2:47:42 time: 0.4896 data_time: 0.0412 memory: 18104 grad_norm: 7.5310 loss: 1.9954 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.0320 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 0.9634 2023/02/03 09:00:18 - mmengine - INFO - Epoch(train) [246][1180/1879] lr: 5.3768e-04 eta: 2:47:31 time: 0.5088 data_time: 0.0370 memory: 18104 grad_norm: 7.6535 loss: 2.0879 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.1509 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9370 2023/02/03 09:00:28 - mmengine - INFO - Epoch(train) [246][1200/1879] lr: 5.3658e-04 eta: 2:47:21 time: 0.4780 data_time: 0.0322 memory: 18104 grad_norm: 7.6785 loss: 2.0933 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.1768 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9165 2023/02/03 09:00:38 - mmengine - INFO - Epoch(train) [246][1220/1879] lr: 5.3548e-04 eta: 2:47:11 time: 0.5022 data_time: 0.0372 memory: 18104 grad_norm: 7.5488 loss: 1.9409 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0425 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 0.8984 2023/02/03 09:00:48 - mmengine - INFO - Epoch(train) [246][1240/1879] lr: 5.3438e-04 eta: 2:47:00 time: 0.5052 data_time: 0.0413 memory: 18104 grad_norm: 7.7149 loss: 2.1081 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.1743 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9338 2023/02/03 09:00:58 - mmengine - INFO - Epoch(train) [246][1260/1879] lr: 5.3328e-04 eta: 2:46:50 time: 0.5022 data_time: 0.0352 memory: 18104 grad_norm: 7.4890 loss: 2.0159 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.0751 top1_acc_1: 0.6588 top5_acc_1: 0.8235 loss_cls_1: 0.9409 2023/02/03 09:01:08 - mmengine - INFO - Epoch(train) [246][1280/1879] lr: 5.3219e-04 eta: 2:46:40 time: 0.4827 data_time: 0.0325 memory: 18104 grad_norm: 7.6655 loss: 2.0561 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1539 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 0.9022 2023/02/03 09:01:18 - mmengine - INFO - Epoch(train) [246][1300/1879] lr: 5.3109e-04 eta: 2:46:29 time: 0.5153 data_time: 0.0432 memory: 18104 grad_norm: 7.4409 loss: 2.0568 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0802 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9766 2023/02/03 09:01:28 - mmengine - INFO - Epoch(train) [246][1320/1879] lr: 5.3000e-04 eta: 2:46:19 time: 0.4912 data_time: 0.0331 memory: 18104 grad_norm: 7.3296 loss: 2.0628 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.1861 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 0.8767 2023/02/03 09:01:37 - mmengine - INFO - Epoch(train) [246][1340/1879] lr: 5.2890e-04 eta: 2:46:08 time: 0.4878 data_time: 0.0368 memory: 18104 grad_norm: 7.6843 loss: 1.9640 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.0569 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 0.9071 2023/02/03 09:01:47 - mmengine - INFO - Epoch(train) [246][1360/1879] lr: 5.2781e-04 eta: 2:45:58 time: 0.4889 data_time: 0.0358 memory: 18104 grad_norm: 7.7295 loss: 2.0831 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1864 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 0.8967 2023/02/03 09:01:58 - mmengine - INFO - Epoch(train) [246][1380/1879] lr: 5.2672e-04 eta: 2:45:48 time: 0.5213 data_time: 0.0365 memory: 18104 grad_norm: 7.4859 loss: 1.9221 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 0.9835 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.9387 2023/02/03 09:02:07 - mmengine - INFO - Epoch(train) [246][1400/1879] lr: 5.2563e-04 eta: 2:45:37 time: 0.4828 data_time: 0.0338 memory: 18104 grad_norm: 7.5363 loss: 1.9976 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1442 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 0.8534 2023/02/03 09:02:17 - mmengine - INFO - Epoch(train) [246][1420/1879] lr: 5.2454e-04 eta: 2:45:27 time: 0.4910 data_time: 0.0372 memory: 18104 grad_norm: 7.5329 loss: 1.9560 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.0585 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.8975 2023/02/03 09:02:27 - mmengine - INFO - Epoch(train) [246][1440/1879] lr: 5.2346e-04 eta: 2:45:17 time: 0.4916 data_time: 0.0314 memory: 18104 grad_norm: 7.5723 loss: 1.7484 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 0.9118 top1_acc_1: 0.8824 top5_acc_1: 0.9529 loss_cls_1: 0.8366 2023/02/03 09:02:37 - mmengine - INFO - Epoch(train) [246][1460/1879] lr: 5.2237e-04 eta: 2:45:06 time: 0.5050 data_time: 0.0351 memory: 18104 grad_norm: 7.6710 loss: 1.9901 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0520 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.9381 2023/02/03 09:02:47 - mmengine - INFO - Epoch(train) [246][1480/1879] lr: 5.2128e-04 eta: 2:44:56 time: 0.4869 data_time: 0.0325 memory: 18104 grad_norm: 7.5922 loss: 2.0773 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1726 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9047 2023/02/03 09:02:57 - mmengine - INFO - Epoch(train) [246][1500/1879] lr: 5.2020e-04 eta: 2:44:45 time: 0.4987 data_time: 0.0376 memory: 18104 grad_norm: 7.5502 loss: 2.0253 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.1827 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.8426 2023/02/03 09:03:07 - mmengine - INFO - Epoch(train) [246][1520/1879] lr: 5.1912e-04 eta: 2:44:35 time: 0.5084 data_time: 0.0386 memory: 18104 grad_norm: 7.3468 loss: 2.1208 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2082 top1_acc_1: 0.8118 top5_acc_1: 0.8824 loss_cls_1: 0.9126 2023/02/03 09:03:17 - mmengine - INFO - Epoch(train) [246][1540/1879] lr: 5.1803e-04 eta: 2:44:25 time: 0.4968 data_time: 0.0345 memory: 18104 grad_norm: 7.6110 loss: 2.0433 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.1703 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 0.8731 2023/02/03 09:03:27 - mmengine - INFO - Epoch(train) [246][1560/1879] lr: 5.1695e-04 eta: 2:44:14 time: 0.4948 data_time: 0.0317 memory: 18104 grad_norm: 7.4817 loss: 1.9059 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 0.9620 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9439 2023/02/03 09:03:37 - mmengine - INFO - Epoch(train) [246][1580/1879] lr: 5.1587e-04 eta: 2:44:04 time: 0.5040 data_time: 0.0372 memory: 18104 grad_norm: 7.5576 loss: 1.8307 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 0.9077 top1_acc_1: 0.7412 top5_acc_1: 0.9529 loss_cls_1: 0.9231 2023/02/03 09:03:47 - mmengine - INFO - Epoch(train) [246][1600/1879] lr: 5.1480e-04 eta: 2:43:54 time: 0.4959 data_time: 0.0383 memory: 18104 grad_norm: 7.6265 loss: 1.9050 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.0193 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.8857 2023/02/03 09:03:57 - mmengine - INFO - Epoch(train) [246][1620/1879] lr: 5.1372e-04 eta: 2:43:43 time: 0.5025 data_time: 0.0354 memory: 18104 grad_norm: 7.4964 loss: 1.8998 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 0.9198 top1_acc_1: 0.7059 top5_acc_1: 0.8588 loss_cls_1: 0.9800 2023/02/03 09:04:07 - mmengine - INFO - Epoch(train) [246][1640/1879] lr: 5.1264e-04 eta: 2:43:33 time: 0.5006 data_time: 0.0319 memory: 18104 grad_norm: 7.5723 loss: 2.0160 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0981 top1_acc_1: 0.8000 top5_acc_1: 0.9765 loss_cls_1: 0.9179 2023/02/03 09:04:10 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 09:04:17 - mmengine - INFO - Epoch(train) [246][1660/1879] lr: 5.1157e-04 eta: 2:43:23 time: 0.5082 data_time: 0.0350 memory: 18104 grad_norm: 7.5533 loss: 1.8855 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 0.9880 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 0.8975 2023/02/03 09:04:27 - mmengine - INFO - Epoch(train) [246][1680/1879] lr: 5.1049e-04 eta: 2:43:12 time: 0.4996 data_time: 0.0398 memory: 18104 grad_norm: 7.4893 loss: 1.9258 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.0455 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.8804 2023/02/03 09:04:38 - mmengine - INFO - Epoch(train) [246][1700/1879] lr: 5.0942e-04 eta: 2:43:02 time: 0.5149 data_time: 0.0349 memory: 18104 grad_norm: 7.4255 loss: 1.7183 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 0.7990 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.9193 2023/02/03 09:04:48 - mmengine - INFO - Epoch(train) [246][1720/1879] lr: 5.0835e-04 eta: 2:42:52 time: 0.4917 data_time: 0.0317 memory: 18104 grad_norm: 7.6852 loss: 2.0347 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.1165 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 0.9183 2023/02/03 09:04:58 - mmengine - INFO - Epoch(train) [246][1740/1879] lr: 5.0728e-04 eta: 2:42:41 time: 0.5071 data_time: 0.0346 memory: 18104 grad_norm: 7.6010 loss: 2.0300 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1489 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.8811 2023/02/03 09:05:08 - mmengine - INFO - Epoch(train) [246][1760/1879] lr: 5.0621e-04 eta: 2:42:31 time: 0.5010 data_time: 0.0320 memory: 18104 grad_norm: 7.5803 loss: 2.1452 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.1874 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 0.9578 2023/02/03 09:05:18 - mmengine - INFO - Epoch(train) [246][1780/1879] lr: 5.0514e-04 eta: 2:42:21 time: 0.5140 data_time: 0.0387 memory: 18104 grad_norm: 7.8355 loss: 1.8584 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 0.9662 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 0.8923 2023/02/03 09:05:28 - mmengine - INFO - Epoch(train) [246][1800/1879] lr: 5.0407e-04 eta: 2:42:10 time: 0.4918 data_time: 0.0311 memory: 18104 grad_norm: 7.8375 loss: 2.0021 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.1064 top1_acc_1: 0.8824 top5_acc_1: 0.9294 loss_cls_1: 0.8956 2023/02/03 09:05:39 - mmengine - INFO - Epoch(train) [246][1820/1879] lr: 5.0301e-04 eta: 2:42:00 time: 0.5246 data_time: 0.0429 memory: 18104 grad_norm: 7.5309 loss: 2.1645 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2110 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.9535 2023/02/03 09:05:49 - mmengine - INFO - Epoch(train) [246][1840/1879] lr: 5.0194e-04 eta: 2:41:50 time: 0.5008 data_time: 0.0326 memory: 18104 grad_norm: 7.6761 loss: 1.9729 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.0952 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 0.8777 2023/02/03 09:05:58 - mmengine - INFO - Epoch(train) [246][1860/1879] lr: 5.0088e-04 eta: 2:41:39 time: 0.4947 data_time: 0.0354 memory: 18104 grad_norm: 7.6587 loss: 1.7737 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 0.9198 top1_acc_1: 0.8941 top5_acc_1: 1.0000 loss_cls_1: 0.8540 2023/02/03 09:06:08 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 09:06:08 - mmengine - INFO - Epoch(train) [246][1879/1879] lr: 4.9987e-04 eta: 2:41:29 time: 0.4874 data_time: 0.0430 memory: 18104 grad_norm: 7.9087 loss: 1.8949 top1_acc_0: 0.7143 top5_acc_0: 1.0000 loss_cls_0: 1.0588 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.8361 2023/02/03 09:06:23 - mmengine - INFO - Epoch(train) [247][ 20/1879] lr: 4.9881e-04 eta: 2:41:20 time: 0.7165 data_time: 0.2530 memory: 18104 grad_norm: 7.7805 loss: 2.0546 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.1967 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.8579 2023/02/03 09:06:32 - mmengine - INFO - Epoch(train) [247][ 40/1879] lr: 4.9775e-04 eta: 2:41:09 time: 0.4846 data_time: 0.0327 memory: 18104 grad_norm: 7.6058 loss: 2.0569 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0566 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 1.0003 2023/02/03 09:06:42 - mmengine - INFO - Epoch(train) [247][ 60/1879] lr: 4.9669e-04 eta: 2:40:59 time: 0.4980 data_time: 0.0376 memory: 18104 grad_norm: 7.4950 loss: 2.0871 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1213 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.9658 2023/02/03 09:06:53 - mmengine - INFO - Epoch(train) [247][ 80/1879] lr: 4.9563e-04 eta: 2:40:48 time: 0.5167 data_time: 0.0398 memory: 18104 grad_norm: 7.7505 loss: 2.2118 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.3031 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 0.9087 2023/02/03 09:07:03 - mmengine - INFO - Epoch(train) [247][ 100/1879] lr: 4.9457e-04 eta: 2:40:38 time: 0.4898 data_time: 0.0374 memory: 18104 grad_norm: 7.7169 loss: 2.1168 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.2224 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.8945 2023/02/03 09:07:12 - mmengine - INFO - Epoch(train) [247][ 120/1879] lr: 4.9351e-04 eta: 2:40:28 time: 0.4802 data_time: 0.0319 memory: 18104 grad_norm: 7.9529 loss: 2.3852 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.4743 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 0.9109 2023/02/03 09:07:22 - mmengine - INFO - Epoch(train) [247][ 140/1879] lr: 4.9246e-04 eta: 2:40:17 time: 0.5055 data_time: 0.0425 memory: 18104 grad_norm: 7.4648 loss: 1.9132 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0097 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 0.9035 2023/02/03 09:07:32 - mmengine - INFO - Epoch(train) [247][ 160/1879] lr: 4.9141e-04 eta: 2:40:07 time: 0.5008 data_time: 0.0328 memory: 18104 grad_norm: 7.5819 loss: 1.9261 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 0.9915 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 0.9346 2023/02/03 09:07:42 - mmengine - INFO - Epoch(train) [247][ 180/1879] lr: 4.9035e-04 eta: 2:39:57 time: 0.4938 data_time: 0.0382 memory: 18104 grad_norm: 7.6768 loss: 2.1703 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2308 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.9394 2023/02/03 09:07:52 - mmengine - INFO - Epoch(train) [247][ 200/1879] lr: 4.8930e-04 eta: 2:39:46 time: 0.4872 data_time: 0.0394 memory: 18104 grad_norm: 7.5883 loss: 1.9132 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.0139 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 0.8993 2023/02/03 09:08:02 - mmengine - INFO - Epoch(train) [247][ 220/1879] lr: 4.8825e-04 eta: 2:39:36 time: 0.5076 data_time: 0.0373 memory: 18104 grad_norm: 7.5605 loss: 2.2089 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2395 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9694 2023/02/03 09:08:12 - mmengine - INFO - Epoch(train) [247][ 240/1879] lr: 4.8720e-04 eta: 2:39:25 time: 0.4931 data_time: 0.0324 memory: 18104 grad_norm: 7.6018 loss: 1.9253 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 0.9982 top1_acc_1: 0.8000 top5_acc_1: 0.9765 loss_cls_1: 0.9271 2023/02/03 09:08:22 - mmengine - INFO - Epoch(train) [247][ 260/1879] lr: 4.8615e-04 eta: 2:39:15 time: 0.4988 data_time: 0.0374 memory: 18104 grad_norm: 7.6965 loss: 2.1018 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1820 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9198 2023/02/03 09:08:32 - mmengine - INFO - Epoch(train) [247][ 280/1879] lr: 4.8511e-04 eta: 2:39:05 time: 0.4936 data_time: 0.0324 memory: 18104 grad_norm: 7.6681 loss: 2.0014 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.1013 top1_acc_1: 0.8824 top5_acc_1: 0.9176 loss_cls_1: 0.9002 2023/02/03 09:08:42 - mmengine - INFO - Epoch(train) [247][ 300/1879] lr: 4.8406e-04 eta: 2:38:54 time: 0.5005 data_time: 0.0354 memory: 18104 grad_norm: 7.6004 loss: 1.7967 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 0.9513 top1_acc_1: 0.8588 top5_acc_1: 0.9647 loss_cls_1: 0.8454 2023/02/03 09:08:52 - mmengine - INFO - Epoch(train) [247][ 320/1879] lr: 4.8301e-04 eta: 2:38:44 time: 0.4864 data_time: 0.0324 memory: 18104 grad_norm: 7.5379 loss: 1.8917 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 0.9747 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9171 2023/02/03 09:09:02 - mmengine - INFO - Epoch(train) [247][ 340/1879] lr: 4.8197e-04 eta: 2:38:34 time: 0.5142 data_time: 0.0440 memory: 18104 grad_norm: 7.9075 loss: 1.9537 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.0721 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.8816 2023/02/03 09:09:12 - mmengine - INFO - Epoch(train) [247][ 360/1879] lr: 4.8093e-04 eta: 2:38:23 time: 0.4862 data_time: 0.0338 memory: 18104 grad_norm: 7.5863 loss: 2.0448 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1204 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9245 2023/02/03 09:09:22 - mmengine - INFO - Epoch(train) [247][ 380/1879] lr: 4.7989e-04 eta: 2:38:13 time: 0.5019 data_time: 0.0380 memory: 18104 grad_norm: 7.4920 loss: 2.0475 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1290 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 0.9184 2023/02/03 09:09:32 - mmengine - INFO - Epoch(train) [247][ 400/1879] lr: 4.7885e-04 eta: 2:38:03 time: 0.4856 data_time: 0.0386 memory: 18104 grad_norm: 7.7173 loss: 2.0163 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0982 top1_acc_1: 0.7647 top5_acc_1: 0.8706 loss_cls_1: 0.9181 2023/02/03 09:09:42 - mmengine - INFO - Epoch(train) [247][ 420/1879] lr: 4.7781e-04 eta: 2:37:52 time: 0.5011 data_time: 0.0349 memory: 18104 grad_norm: 7.5310 loss: 1.9514 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0421 top1_acc_1: 0.6824 top5_acc_1: 0.8353 loss_cls_1: 0.9093 2023/02/03 09:09:52 - mmengine - INFO - Epoch(train) [247][ 440/1879] lr: 4.7677e-04 eta: 2:37:42 time: 0.4949 data_time: 0.0334 memory: 18104 grad_norm: 7.6179 loss: 1.9714 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0261 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 0.9453 2023/02/03 09:10:01 - mmengine - INFO - Epoch(train) [247][ 460/1879] lr: 4.7573e-04 eta: 2:37:31 time: 0.4829 data_time: 0.0350 memory: 18104 grad_norm: 7.5462 loss: 2.0066 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0771 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 0.9295 2023/02/03 09:10:11 - mmengine - INFO - Epoch(train) [247][ 480/1879] lr: 4.7470e-04 eta: 2:37:21 time: 0.4930 data_time: 0.0375 memory: 18104 grad_norm: 7.7831 loss: 2.2012 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.2979 top1_acc_1: 0.8471 top5_acc_1: 0.9765 loss_cls_1: 0.9033 2023/02/03 09:10:21 - mmengine - INFO - Epoch(train) [247][ 500/1879] lr: 4.7366e-04 eta: 2:37:11 time: 0.4948 data_time: 0.0385 memory: 18104 grad_norm: 7.4887 loss: 2.0013 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1458 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.8555 2023/02/03 09:10:31 - mmengine - INFO - Epoch(train) [247][ 520/1879] lr: 4.7263e-04 eta: 2:37:00 time: 0.4801 data_time: 0.0325 memory: 18104 grad_norm: 7.7021 loss: 1.9436 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 0.9895 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9540 2023/02/03 09:10:41 - mmengine - INFO - Epoch(train) [247][ 540/1879] lr: 4.7160e-04 eta: 2:36:50 time: 0.4914 data_time: 0.0424 memory: 18104 grad_norm: 7.5832 loss: 2.0431 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1150 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9282 2023/02/03 09:10:50 - mmengine - INFO - Epoch(train) [247][ 560/1879] lr: 4.7056e-04 eta: 2:36:40 time: 0.4895 data_time: 0.0339 memory: 18104 grad_norm: 7.7483 loss: 2.0276 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1192 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.9084 2023/02/03 09:11:00 - mmengine - INFO - Epoch(train) [247][ 580/1879] lr: 4.6953e-04 eta: 2:36:29 time: 0.4957 data_time: 0.0353 memory: 18104 grad_norm: 7.7340 loss: 1.9137 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0606 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.8531 2023/02/03 09:11:10 - mmengine - INFO - Epoch(train) [247][ 600/1879] lr: 4.6850e-04 eta: 2:36:19 time: 0.4861 data_time: 0.0380 memory: 18104 grad_norm: 7.6886 loss: 2.0813 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1865 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.8948 2023/02/03 09:11:20 - mmengine - INFO - Epoch(train) [247][ 620/1879] lr: 4.6748e-04 eta: 2:36:08 time: 0.4869 data_time: 0.0369 memory: 18104 grad_norm: 7.6329 loss: 1.8981 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0219 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.8762 2023/02/03 09:11:29 - mmengine - INFO - Epoch(train) [247][ 640/1879] lr: 4.6645e-04 eta: 2:35:58 time: 0.4808 data_time: 0.0333 memory: 18104 grad_norm: 7.4924 loss: 1.8474 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 0.9170 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9304 2023/02/03 09:11:39 - mmengine - INFO - Epoch(train) [247][ 660/1879] lr: 4.6542e-04 eta: 2:35:48 time: 0.4926 data_time: 0.0362 memory: 18104 grad_norm: 7.6572 loss: 2.0044 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.1353 top1_acc_1: 0.8824 top5_acc_1: 0.9765 loss_cls_1: 0.8691 2023/02/03 09:11:49 - mmengine - INFO - Epoch(train) [247][ 680/1879] lr: 4.6440e-04 eta: 2:35:37 time: 0.4982 data_time: 0.0383 memory: 18104 grad_norm: 7.4516 loss: 1.9459 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0120 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9338 2023/02/03 09:11:59 - mmengine - INFO - Epoch(train) [247][ 700/1879] lr: 4.6338e-04 eta: 2:35:27 time: 0.4890 data_time: 0.0365 memory: 18104 grad_norm: 7.3844 loss: 1.8376 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 0.9548 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 0.8828 2023/02/03 09:12:09 - mmengine - INFO - Epoch(train) [247][ 720/1879] lr: 4.6235e-04 eta: 2:35:17 time: 0.4961 data_time: 0.0345 memory: 18104 grad_norm: 7.5696 loss: 2.1524 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.2518 top1_acc_1: 0.8118 top5_acc_1: 0.8941 loss_cls_1: 0.9006 2023/02/03 09:12:19 - mmengine - INFO - Epoch(train) [247][ 740/1879] lr: 4.6133e-04 eta: 2:35:06 time: 0.5005 data_time: 0.0444 memory: 18104 grad_norm: 7.7017 loss: 1.9345 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0455 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.8889 2023/02/03 09:12:29 - mmengine - INFO - Epoch(train) [247][ 760/1879] lr: 4.6031e-04 eta: 2:34:56 time: 0.4916 data_time: 0.0322 memory: 18104 grad_norm: 7.7274 loss: 1.8790 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 0.9832 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.8958 2023/02/03 09:12:32 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 09:12:39 - mmengine - INFO - Epoch(train) [247][ 780/1879] lr: 4.5929e-04 eta: 2:34:45 time: 0.4976 data_time: 0.0357 memory: 18104 grad_norm: 7.5594 loss: 2.1070 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1292 top1_acc_1: 0.6941 top5_acc_1: 0.8824 loss_cls_1: 0.9778 2023/02/03 09:12:49 - mmengine - INFO - Epoch(train) [247][ 800/1879] lr: 4.5828e-04 eta: 2:34:35 time: 0.5008 data_time: 0.0320 memory: 18104 grad_norm: 7.6841 loss: 2.0521 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0929 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 0.9592 2023/02/03 09:12:59 - mmengine - INFO - Epoch(train) [247][ 820/1879] lr: 4.5726e-04 eta: 2:34:25 time: 0.4996 data_time: 0.0432 memory: 18104 grad_norm: 7.6707 loss: 1.8872 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 0.9817 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9054 2023/02/03 09:13:09 - mmengine - INFO - Epoch(train) [247][ 840/1879] lr: 4.5624e-04 eta: 2:34:14 time: 0.4944 data_time: 0.0327 memory: 18104 grad_norm: 7.7067 loss: 1.8982 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0801 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.8181 2023/02/03 09:13:19 - mmengine - INFO - Epoch(train) [247][ 860/1879] lr: 4.5523e-04 eta: 2:34:04 time: 0.4937 data_time: 0.0386 memory: 18104 grad_norm: 7.6595 loss: 1.9920 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.1331 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.8588 2023/02/03 09:13:29 - mmengine - INFO - Epoch(train) [247][ 880/1879] lr: 4.5421e-04 eta: 2:33:54 time: 0.4961 data_time: 0.0336 memory: 18104 grad_norm: 7.7924 loss: 2.1092 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1761 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9331 2023/02/03 09:13:39 - mmengine - INFO - Epoch(train) [247][ 900/1879] lr: 4.5320e-04 eta: 2:33:43 time: 0.4973 data_time: 0.0372 memory: 18104 grad_norm: 7.5425 loss: 1.9112 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 0.9662 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 0.9450 2023/02/03 09:13:49 - mmengine - INFO - Epoch(train) [247][ 920/1879] lr: 4.5219e-04 eta: 2:33:33 time: 0.4968 data_time: 0.0339 memory: 18104 grad_norm: 7.6037 loss: 1.8984 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0066 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.8918 2023/02/03 09:13:59 - mmengine - INFO - Epoch(train) [247][ 940/1879] lr: 4.5118e-04 eta: 2:33:23 time: 0.5010 data_time: 0.0435 memory: 18104 grad_norm: 7.7643 loss: 2.0654 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1021 top1_acc_1: 0.6824 top5_acc_1: 0.9412 loss_cls_1: 0.9633 2023/02/03 09:14:09 - mmengine - INFO - Epoch(train) [247][ 960/1879] lr: 4.5017e-04 eta: 2:33:12 time: 0.4954 data_time: 0.0331 memory: 18104 grad_norm: 7.6694 loss: 1.9040 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 0.9908 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9132 2023/02/03 09:14:18 - mmengine - INFO - Epoch(train) [247][ 980/1879] lr: 4.4916e-04 eta: 2:33:02 time: 0.4889 data_time: 0.0392 memory: 18104 grad_norm: 7.6831 loss: 2.1327 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.1664 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 0.9663 2023/02/03 09:14:28 - mmengine - INFO - Epoch(train) [247][1000/1879] lr: 4.4816e-04 eta: 2:32:51 time: 0.4979 data_time: 0.0324 memory: 18104 grad_norm: 7.5491 loss: 2.0153 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.1158 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.8995 2023/02/03 09:14:38 - mmengine - INFO - Epoch(train) [247][1020/1879] lr: 4.4715e-04 eta: 2:32:41 time: 0.4968 data_time: 0.0360 memory: 18104 grad_norm: 7.6785 loss: 2.1706 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2874 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.8831 2023/02/03 09:14:48 - mmengine - INFO - Epoch(train) [247][1040/1879] lr: 4.4615e-04 eta: 2:32:31 time: 0.4948 data_time: 0.0319 memory: 18104 grad_norm: 7.5474 loss: 2.1787 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2239 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9548 2023/02/03 09:14:59 - mmengine - INFO - Epoch(train) [247][1060/1879] lr: 4.4514e-04 eta: 2:32:20 time: 0.5066 data_time: 0.0352 memory: 18104 grad_norm: 7.7618 loss: 2.2687 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.2776 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.9912 2023/02/03 09:15:08 - mmengine - INFO - Epoch(train) [247][1080/1879] lr: 4.4414e-04 eta: 2:32:10 time: 0.4979 data_time: 0.0384 memory: 18104 grad_norm: 7.6078 loss: 2.0723 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.1893 top1_acc_1: 0.7176 top5_acc_1: 0.8706 loss_cls_1: 0.8830 2023/02/03 09:15:19 - mmengine - INFO - Epoch(train) [247][1100/1879] lr: 4.4314e-04 eta: 2:32:00 time: 0.5057 data_time: 0.0357 memory: 18104 grad_norm: 7.7328 loss: 2.1326 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.1755 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.9571 2023/02/03 09:15:28 - mmengine - INFO - Epoch(train) [247][1120/1879] lr: 4.4214e-04 eta: 2:31:49 time: 0.4895 data_time: 0.0315 memory: 18104 grad_norm: 7.6941 loss: 2.0322 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.1732 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.8589 2023/02/03 09:15:39 - mmengine - INFO - Epoch(train) [247][1140/1879] lr: 4.4114e-04 eta: 2:31:39 time: 0.5237 data_time: 0.0364 memory: 18104 grad_norm: 7.3987 loss: 2.0314 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1953 top1_acc_1: 0.6941 top5_acc_1: 0.9412 loss_cls_1: 0.8361 2023/02/03 09:15:49 - mmengine - INFO - Epoch(train) [247][1160/1879] lr: 4.4015e-04 eta: 2:31:29 time: 0.5102 data_time: 0.0313 memory: 18104 grad_norm: 7.6309 loss: 2.1914 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.3038 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.8877 2023/02/03 09:15:59 - mmengine - INFO - Epoch(train) [247][1180/1879] lr: 4.3915e-04 eta: 2:31:18 time: 0.5027 data_time: 0.0374 memory: 18104 grad_norm: 7.4650 loss: 2.1322 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.1945 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 0.9378 2023/02/03 09:16:09 - mmengine - INFO - Epoch(train) [247][1200/1879] lr: 4.3815e-04 eta: 2:31:08 time: 0.5074 data_time: 0.0319 memory: 18104 grad_norm: 7.5999 loss: 2.0006 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0618 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9388 2023/02/03 09:16:20 - mmengine - INFO - Epoch(train) [247][1220/1879] lr: 4.3716e-04 eta: 2:30:58 time: 0.5090 data_time: 0.0395 memory: 18104 grad_norm: 7.3567 loss: 1.9287 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 0.9571 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 0.9716 2023/02/03 09:16:30 - mmengine - INFO - Epoch(train) [247][1240/1879] lr: 4.3617e-04 eta: 2:30:47 time: 0.5109 data_time: 0.0323 memory: 18104 grad_norm: 7.6675 loss: 2.0519 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1482 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.9037 2023/02/03 09:16:40 - mmengine - INFO - Epoch(train) [247][1260/1879] lr: 4.3517e-04 eta: 2:30:37 time: 0.5023 data_time: 0.0356 memory: 18104 grad_norm: 7.6140 loss: 1.9951 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.0468 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 0.9483 2023/02/03 09:16:50 - mmengine - INFO - Epoch(train) [247][1280/1879] lr: 4.3418e-04 eta: 2:30:27 time: 0.5144 data_time: 0.0389 memory: 18104 grad_norm: 7.6323 loss: 2.1404 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.1620 top1_acc_1: 0.7647 top5_acc_1: 0.9647 loss_cls_1: 0.9784 2023/02/03 09:17:00 - mmengine - INFO - Epoch(train) [247][1300/1879] lr: 4.3319e-04 eta: 2:30:16 time: 0.5075 data_time: 0.0357 memory: 18104 grad_norm: 7.5914 loss: 2.0529 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1846 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 0.8683 2023/02/03 09:17:11 - mmengine - INFO - Epoch(train) [247][1320/1879] lr: 4.3220e-04 eta: 2:30:06 time: 0.5058 data_time: 0.0338 memory: 18104 grad_norm: 7.5089 loss: 1.9616 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.0665 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.8950 2023/02/03 09:17:21 - mmengine - INFO - Epoch(train) [247][1340/1879] lr: 4.3122e-04 eta: 2:29:56 time: 0.5232 data_time: 0.0429 memory: 18104 grad_norm: 7.5244 loss: 2.2193 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.2951 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 0.9242 2023/02/03 09:17:31 - mmengine - INFO - Epoch(train) [247][1360/1879] lr: 4.3023e-04 eta: 2:29:45 time: 0.5067 data_time: 0.0316 memory: 18104 grad_norm: 7.4494 loss: 2.1228 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1722 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.9505 2023/02/03 09:17:41 - mmengine - INFO - Epoch(train) [247][1380/1879] lr: 4.2925e-04 eta: 2:29:35 time: 0.5112 data_time: 0.0345 memory: 18104 grad_norm: 7.7489 loss: 2.1537 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2986 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.8551 2023/02/03 09:17:52 - mmengine - INFO - Epoch(train) [247][1400/1879] lr: 4.2826e-04 eta: 2:29:25 time: 0.5072 data_time: 0.0345 memory: 18104 grad_norm: 7.5469 loss: 1.9823 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1165 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 0.8659 2023/02/03 09:18:02 - mmengine - INFO - Epoch(train) [247][1420/1879] lr: 4.2728e-04 eta: 2:29:14 time: 0.5159 data_time: 0.0408 memory: 18104 grad_norm: 7.5140 loss: 2.0238 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.0764 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9474 2023/02/03 09:18:12 - mmengine - INFO - Epoch(train) [247][1440/1879] lr: 4.2630e-04 eta: 2:29:04 time: 0.5137 data_time: 0.0308 memory: 18104 grad_norm: 7.2989 loss: 1.8261 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 0.9652 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 0.8609 2023/02/03 09:18:22 - mmengine - INFO - Epoch(train) [247][1460/1879] lr: 4.2532e-04 eta: 2:28:54 time: 0.4955 data_time: 0.0372 memory: 18104 grad_norm: 7.7117 loss: 2.1219 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2296 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.8923 2023/02/03 09:18:33 - mmengine - INFO - Epoch(train) [247][1480/1879] lr: 4.2434e-04 eta: 2:28:44 time: 0.5224 data_time: 0.0325 memory: 18104 grad_norm: 7.6074 loss: 2.0221 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1116 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.9105 2023/02/03 09:18:43 - mmengine - INFO - Epoch(train) [247][1500/1879] lr: 4.2336e-04 eta: 2:28:33 time: 0.5006 data_time: 0.0370 memory: 18104 grad_norm: 7.6248 loss: 1.9030 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0266 top1_acc_1: 0.8353 top5_acc_1: 0.9765 loss_cls_1: 0.8764 2023/02/03 09:18:53 - mmengine - INFO - Epoch(train) [247][1520/1879] lr: 4.2238e-04 eta: 2:28:23 time: 0.5104 data_time: 0.0321 memory: 18104 grad_norm: 7.5611 loss: 1.9398 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.0479 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.8918 2023/02/03 09:19:03 - mmengine - INFO - Epoch(train) [247][1540/1879] lr: 4.2140e-04 eta: 2:28:13 time: 0.5220 data_time: 0.0457 memory: 18104 grad_norm: 7.7169 loss: 2.0516 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1393 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 0.9124 2023/02/03 09:19:14 - mmengine - INFO - Epoch(train) [247][1560/1879] lr: 4.2043e-04 eta: 2:28:02 time: 0.5166 data_time: 0.0309 memory: 18104 grad_norm: 7.7102 loss: 1.9873 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.0661 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9212 2023/02/03 09:19:24 - mmengine - INFO - Epoch(train) [247][1580/1879] lr: 4.1945e-04 eta: 2:27:52 time: 0.5113 data_time: 0.0344 memory: 18104 grad_norm: 7.4772 loss: 1.9532 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0311 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9222 2023/02/03 09:19:34 - mmengine - INFO - Epoch(train) [247][1600/1879] lr: 4.1848e-04 eta: 2:27:42 time: 0.5065 data_time: 0.0317 memory: 18104 grad_norm: 7.6022 loss: 2.0172 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1634 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 0.8538 2023/02/03 09:19:45 - mmengine - INFO - Epoch(train) [247][1620/1879] lr: 4.1751e-04 eta: 2:27:31 time: 0.5266 data_time: 0.0355 memory: 18104 grad_norm: 7.6117 loss: 2.0047 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.1049 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.8998 2023/02/03 09:19:55 - mmengine - INFO - Epoch(train) [247][1640/1879] lr: 4.1654e-04 eta: 2:27:21 time: 0.5186 data_time: 0.0309 memory: 18104 grad_norm: 7.7445 loss: 2.0323 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0888 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 0.9435 2023/02/03 09:20:05 - mmengine - INFO - Epoch(train) [247][1660/1879] lr: 4.1557e-04 eta: 2:27:11 time: 0.5028 data_time: 0.0344 memory: 18104 grad_norm: 7.5576 loss: 2.1156 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1858 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 0.9298 2023/02/03 09:20:16 - mmengine - INFO - Epoch(train) [247][1680/1879] lr: 4.1460e-04 eta: 2:27:00 time: 0.5161 data_time: 0.0395 memory: 18104 grad_norm: 7.7435 loss: 2.0392 top1_acc_0: 0.5000 top5_acc_0: 1.0000 loss_cls_0: 1.1387 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9005 2023/02/03 09:20:26 - mmengine - INFO - Epoch(train) [247][1700/1879] lr: 4.1363e-04 eta: 2:26:50 time: 0.5083 data_time: 0.0348 memory: 18104 grad_norm: 7.5223 loss: 1.8575 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0174 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.8401 2023/02/03 09:20:36 - mmengine - INFO - Epoch(train) [247][1720/1879] lr: 4.1267e-04 eta: 2:26:40 time: 0.5278 data_time: 0.0324 memory: 18104 grad_norm: 7.8549 loss: 1.8040 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 0.9643 top1_acc_1: 0.8824 top5_acc_1: 0.9529 loss_cls_1: 0.8397 2023/02/03 09:20:47 - mmengine - INFO - Epoch(train) [247][1740/1879] lr: 4.1170e-04 eta: 2:26:29 time: 0.5302 data_time: 0.0413 memory: 18104 grad_norm: 7.7963 loss: 1.8097 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 0.8887 top1_acc_1: 0.7294 top5_acc_1: 0.9529 loss_cls_1: 0.9210 2023/02/03 09:20:57 - mmengine - INFO - Epoch(train) [247][1760/1879] lr: 4.1074e-04 eta: 2:26:19 time: 0.5170 data_time: 0.0322 memory: 18104 grad_norm: 7.4855 loss: 1.8841 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 0.9828 top1_acc_1: 0.8235 top5_acc_1: 0.8941 loss_cls_1: 0.9013 2023/02/03 09:21:00 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 09:21:08 - mmengine - INFO - Epoch(train) [247][1780/1879] lr: 4.0978e-04 eta: 2:26:09 time: 0.5134 data_time: 0.0344 memory: 18104 grad_norm: 7.6289 loss: 2.1729 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2344 top1_acc_1: 0.7294 top5_acc_1: 0.8118 loss_cls_1: 0.9384 2023/02/03 09:21:18 - mmengine - INFO - Epoch(train) [247][1800/1879] lr: 4.0881e-04 eta: 2:25:59 time: 0.5073 data_time: 0.0307 memory: 18104 grad_norm: 7.5764 loss: 1.9013 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 0.9951 top1_acc_1: 0.8706 top5_acc_1: 0.9647 loss_cls_1: 0.9062 2023/02/03 09:21:28 - mmengine - INFO - Epoch(train) [247][1820/1879] lr: 4.0785e-04 eta: 2:25:48 time: 0.5132 data_time: 0.0331 memory: 18104 grad_norm: 7.6508 loss: 1.9201 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.0216 top1_acc_1: 0.6941 top5_acc_1: 0.8588 loss_cls_1: 0.8986 2023/02/03 09:21:38 - mmengine - INFO - Epoch(train) [247][1840/1879] lr: 4.0689e-04 eta: 2:25:38 time: 0.5003 data_time: 0.0325 memory: 18104 grad_norm: 7.4859 loss: 1.9222 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0115 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9107 2023/02/03 09:21:48 - mmengine - INFO - Epoch(train) [247][1860/1879] lr: 4.0594e-04 eta: 2:25:28 time: 0.5069 data_time: 0.0355 memory: 18104 grad_norm: 7.5813 loss: 2.2836 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.3382 top1_acc_1: 0.8471 top5_acc_1: 0.9647 loss_cls_1: 0.9454 2023/02/03 09:21:58 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 09:21:58 - mmengine - INFO - Epoch(train) [247][1879/1879] lr: 4.0503e-04 eta: 2:25:18 time: 0.4983 data_time: 0.0311 memory: 18104 grad_norm: 7.9087 loss: 2.0761 top1_acc_0: 0.5714 top5_acc_0: 0.7143 loss_cls_0: 1.1728 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.9033 2023/02/03 09:22:13 - mmengine - INFO - Epoch(train) [248][ 20/1879] lr: 4.0407e-04 eta: 2:25:08 time: 0.7336 data_time: 0.2695 memory: 18104 grad_norm: 7.6876 loss: 1.9775 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0743 top1_acc_1: 0.7647 top5_acc_1: 0.8588 loss_cls_1: 0.9032 2023/02/03 09:22:23 - mmengine - INFO - Epoch(train) [248][ 40/1879] lr: 4.0311e-04 eta: 2:24:58 time: 0.4840 data_time: 0.0305 memory: 18104 grad_norm: 7.7274 loss: 1.9013 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1000 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.8013 2023/02/03 09:22:33 - mmengine - INFO - Epoch(train) [248][ 60/1879] lr: 4.0216e-04 eta: 2:24:47 time: 0.4995 data_time: 0.0404 memory: 18104 grad_norm: 7.6790 loss: 1.9100 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.0648 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.8453 2023/02/03 09:22:43 - mmengine - INFO - Epoch(train) [248][ 80/1879] lr: 4.0121e-04 eta: 2:24:37 time: 0.5127 data_time: 0.0304 memory: 18104 grad_norm: 7.5280 loss: 2.0373 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2101 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.8272 2023/02/03 09:22:53 - mmengine - INFO - Epoch(train) [248][ 100/1879] lr: 4.0026e-04 eta: 2:24:26 time: 0.4899 data_time: 0.0388 memory: 18104 grad_norm: 7.4144 loss: 2.0262 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1027 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9235 2023/02/03 09:23:03 - mmengine - INFO - Epoch(train) [248][ 120/1879] lr: 3.9931e-04 eta: 2:24:16 time: 0.4906 data_time: 0.0307 memory: 18104 grad_norm: 7.6920 loss: 2.0700 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2027 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.8674 2023/02/03 09:23:13 - mmengine - INFO - Epoch(train) [248][ 140/1879] lr: 3.9836e-04 eta: 2:24:06 time: 0.5349 data_time: 0.0443 memory: 18104 grad_norm: 7.5984 loss: 2.1723 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2805 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.8918 2023/02/03 09:23:24 - mmengine - INFO - Epoch(train) [248][ 160/1879] lr: 3.9741e-04 eta: 2:23:56 time: 0.5129 data_time: 0.0292 memory: 18104 grad_norm: 7.6341 loss: 2.0524 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.1345 top1_acc_1: 0.8588 top5_acc_1: 0.9412 loss_cls_1: 0.9180 2023/02/03 09:23:34 - mmengine - INFO - Epoch(train) [248][ 180/1879] lr: 3.9646e-04 eta: 2:23:45 time: 0.5085 data_time: 0.0374 memory: 18104 grad_norm: 7.7069 loss: 2.0277 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.1401 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.8876 2023/02/03 09:23:45 - mmengine - INFO - Epoch(train) [248][ 200/1879] lr: 3.9552e-04 eta: 2:23:35 time: 0.5289 data_time: 0.0380 memory: 18104 grad_norm: 7.6512 loss: 2.0269 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.0338 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 0.9931 2023/02/03 09:23:55 - mmengine - INFO - Epoch(train) [248][ 220/1879] lr: 3.9457e-04 eta: 2:23:25 time: 0.5313 data_time: 0.0372 memory: 18104 grad_norm: 7.4837 loss: 1.9839 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0224 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9615 2023/02/03 09:24:05 - mmengine - INFO - Epoch(train) [248][ 240/1879] lr: 3.9363e-04 eta: 2:23:14 time: 0.5061 data_time: 0.0290 memory: 18104 grad_norm: 7.6960 loss: 2.0085 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1088 top1_acc_1: 0.8706 top5_acc_1: 0.9647 loss_cls_1: 0.8997 2023/02/03 09:24:16 - mmengine - INFO - Epoch(train) [248][ 260/1879] lr: 3.9268e-04 eta: 2:23:04 time: 0.5182 data_time: 0.0380 memory: 18104 grad_norm: 7.6462 loss: 1.9003 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.0181 top1_acc_1: 0.6941 top5_acc_1: 0.9059 loss_cls_1: 0.8822 2023/02/03 09:24:26 - mmengine - INFO - Epoch(train) [248][ 280/1879] lr: 3.9174e-04 eta: 2:22:54 time: 0.5320 data_time: 0.0323 memory: 18104 grad_norm: 7.7048 loss: 2.0129 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1270 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.8859 2023/02/03 09:24:37 - mmengine - INFO - Epoch(train) [248][ 300/1879] lr: 3.9080e-04 eta: 2:22:43 time: 0.5124 data_time: 0.0372 memory: 18104 grad_norm: 7.5597 loss: 1.9703 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0537 top1_acc_1: 0.8588 top5_acc_1: 0.9412 loss_cls_1: 0.9166 2023/02/03 09:24:47 - mmengine - INFO - Epoch(train) [248][ 320/1879] lr: 3.8986e-04 eta: 2:22:33 time: 0.5212 data_time: 0.0300 memory: 18104 grad_norm: 7.3372 loss: 2.0283 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1217 top1_acc_1: 0.8588 top5_acc_1: 0.9294 loss_cls_1: 0.9066 2023/02/03 09:24:58 - mmengine - INFO - Epoch(train) [248][ 340/1879] lr: 3.8893e-04 eta: 2:22:23 time: 0.5363 data_time: 0.0463 memory: 18104 grad_norm: 7.5491 loss: 2.1478 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2467 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9011 2023/02/03 09:25:08 - mmengine - INFO - Epoch(train) [248][ 360/1879] lr: 3.8799e-04 eta: 2:22:13 time: 0.5058 data_time: 0.0307 memory: 18104 grad_norm: 7.4904 loss: 1.8327 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 0.9417 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.8910 2023/02/03 09:25:18 - mmengine - INFO - Epoch(train) [248][ 380/1879] lr: 3.8705e-04 eta: 2:22:02 time: 0.5155 data_time: 0.0391 memory: 18104 grad_norm: 7.5807 loss: 2.1658 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.2466 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9192 2023/02/03 09:25:29 - mmengine - INFO - Epoch(train) [248][ 400/1879] lr: 3.8612e-04 eta: 2:21:52 time: 0.5154 data_time: 0.0380 memory: 18104 grad_norm: 7.7916 loss: 2.2988 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3258 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 0.9730 2023/02/03 09:25:39 - mmengine - INFO - Epoch(train) [248][ 420/1879] lr: 3.8518e-04 eta: 2:21:42 time: 0.5182 data_time: 0.0382 memory: 18104 grad_norm: 7.5055 loss: 1.9707 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0236 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 0.9470 2023/02/03 09:25:49 - mmengine - INFO - Epoch(train) [248][ 440/1879] lr: 3.8425e-04 eta: 2:21:31 time: 0.5052 data_time: 0.0307 memory: 18104 grad_norm: 7.6108 loss: 1.8402 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0366 top1_acc_1: 0.8471 top5_acc_1: 0.9882 loss_cls_1: 0.8036 2023/02/03 09:25:59 - mmengine - INFO - Epoch(train) [248][ 460/1879] lr: 3.8332e-04 eta: 2:21:21 time: 0.5146 data_time: 0.0375 memory: 18104 grad_norm: 7.6173 loss: 1.9198 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0099 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9099 2023/02/03 09:26:10 - mmengine - INFO - Epoch(train) [248][ 480/1879] lr: 3.8239e-04 eta: 2:21:11 time: 0.5263 data_time: 0.0306 memory: 18104 grad_norm: 7.6976 loss: 1.9285 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.0742 top1_acc_1: 0.8118 top5_acc_1: 0.9765 loss_cls_1: 0.8543 2023/02/03 09:26:20 - mmengine - INFO - Epoch(train) [248][ 500/1879] lr: 3.8146e-04 eta: 2:21:00 time: 0.5118 data_time: 0.0354 memory: 18104 grad_norm: 7.8502 loss: 2.1132 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1814 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.9318 2023/02/03 09:26:31 - mmengine - INFO - Epoch(train) [248][ 520/1879] lr: 3.8053e-04 eta: 2:20:50 time: 0.5161 data_time: 0.0315 memory: 18104 grad_norm: 7.7443 loss: 2.2660 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3699 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.8961 2023/02/03 09:26:41 - mmengine - INFO - Epoch(train) [248][ 540/1879] lr: 3.7961e-04 eta: 2:20:40 time: 0.5085 data_time: 0.0456 memory: 18104 grad_norm: 7.6297 loss: 1.9884 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0734 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9150 2023/02/03 09:26:51 - mmengine - INFO - Epoch(train) [248][ 560/1879] lr: 3.7868e-04 eta: 2:20:29 time: 0.5132 data_time: 0.0302 memory: 18104 grad_norm: 7.6376 loss: 1.9958 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.0922 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.9036 2023/02/03 09:27:01 - mmengine - INFO - Epoch(train) [248][ 580/1879] lr: 3.7776e-04 eta: 2:20:19 time: 0.5048 data_time: 0.0388 memory: 18104 grad_norm: 7.7277 loss: 2.0463 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.0860 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9603 2023/02/03 09:27:12 - mmengine - INFO - Epoch(train) [248][ 600/1879] lr: 3.7683e-04 eta: 2:20:09 time: 0.5282 data_time: 0.0374 memory: 18104 grad_norm: 7.4958 loss: 1.8864 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.0170 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.8694 2023/02/03 09:27:22 - mmengine - INFO - Epoch(train) [248][ 620/1879] lr: 3.7591e-04 eta: 2:19:58 time: 0.5199 data_time: 0.0356 memory: 18104 grad_norm: 7.7041 loss: 2.0886 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.2342 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 0.8544 2023/02/03 09:27:32 - mmengine - INFO - Epoch(train) [248][ 640/1879] lr: 3.7499e-04 eta: 2:19:48 time: 0.5056 data_time: 0.0355 memory: 18104 grad_norm: 7.5717 loss: 2.0323 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1298 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9026 2023/02/03 09:27:43 - mmengine - INFO - Epoch(train) [248][ 660/1879] lr: 3.7407e-04 eta: 2:19:38 time: 0.5247 data_time: 0.0407 memory: 18104 grad_norm: 7.5519 loss: 1.9797 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0640 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.9157 2023/02/03 09:27:53 - mmengine - INFO - Epoch(train) [248][ 680/1879] lr: 3.7315e-04 eta: 2:19:28 time: 0.5254 data_time: 0.0333 memory: 18104 grad_norm: 7.9292 loss: 1.9501 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0945 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 0.8556 2023/02/03 09:28:04 - mmengine - INFO - Epoch(train) [248][ 700/1879] lr: 3.7223e-04 eta: 2:19:17 time: 0.5135 data_time: 0.0343 memory: 18104 grad_norm: 7.4293 loss: 1.9607 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0116 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.9491 2023/02/03 09:28:14 - mmengine - INFO - Epoch(train) [248][ 720/1879] lr: 3.7132e-04 eta: 2:19:07 time: 0.5082 data_time: 0.0326 memory: 18104 grad_norm: 7.6750 loss: 2.0701 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.1581 top1_acc_1: 0.8588 top5_acc_1: 0.9529 loss_cls_1: 0.9119 2023/02/03 09:28:25 - mmengine - INFO - Epoch(train) [248][ 740/1879] lr: 3.7040e-04 eta: 2:18:57 time: 0.5322 data_time: 0.0417 memory: 18104 grad_norm: 7.4165 loss: 1.9295 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0267 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9028 2023/02/03 09:28:35 - mmengine - INFO - Epoch(train) [248][ 760/1879] lr: 3.6949e-04 eta: 2:18:46 time: 0.5083 data_time: 0.0344 memory: 18104 grad_norm: 7.8327 loss: 1.9865 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1012 top1_acc_1: 0.8118 top5_acc_1: 0.8941 loss_cls_1: 0.8853 2023/02/03 09:28:45 - mmengine - INFO - Epoch(train) [248][ 780/1879] lr: 3.6857e-04 eta: 2:18:36 time: 0.5214 data_time: 0.0325 memory: 18104 grad_norm: 7.6484 loss: 1.9502 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 0.9923 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 0.9578 2023/02/03 09:28:56 - mmengine - INFO - Epoch(train) [248][ 800/1879] lr: 3.6766e-04 eta: 2:18:26 time: 0.5192 data_time: 0.0343 memory: 18104 grad_norm: 7.4379 loss: 2.0023 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.1047 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 0.8976 2023/02/03 09:29:06 - mmengine - INFO - Epoch(train) [248][ 820/1879] lr: 3.6675e-04 eta: 2:18:15 time: 0.5168 data_time: 0.0325 memory: 18104 grad_norm: 7.7557 loss: 2.0710 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1054 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 0.9656 2023/02/03 09:29:16 - mmengine - INFO - Epoch(train) [248][ 840/1879] lr: 3.6584e-04 eta: 2:18:05 time: 0.5159 data_time: 0.0344 memory: 18104 grad_norm: 7.5697 loss: 2.1080 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1916 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9164 2023/02/03 09:29:27 - mmengine - INFO - Epoch(train) [248][ 860/1879] lr: 3.6493e-04 eta: 2:17:55 time: 0.5271 data_time: 0.0427 memory: 18104 grad_norm: 7.6450 loss: 1.7451 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 0.8911 top1_acc_1: 0.7882 top5_acc_1: 0.9765 loss_cls_1: 0.8541 2023/02/03 09:29:37 - mmengine - INFO - Epoch(train) [248][ 880/1879] lr: 3.6402e-04 eta: 2:17:45 time: 0.5206 data_time: 0.0331 memory: 18104 grad_norm: 7.5460 loss: 2.0454 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.1081 top1_acc_1: 0.8118 top5_acc_1: 0.9647 loss_cls_1: 0.9373 2023/02/03 09:29:41 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 09:29:48 - mmengine - INFO - Epoch(train) [248][ 900/1879] lr: 3.6312e-04 eta: 2:17:34 time: 0.5100 data_time: 0.0349 memory: 18104 grad_norm: 7.4759 loss: 2.0082 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1773 top1_acc_1: 0.8118 top5_acc_1: 0.9647 loss_cls_1: 0.8310 2023/02/03 09:29:58 - mmengine - INFO - Epoch(train) [248][ 920/1879] lr: 3.6221e-04 eta: 2:17:24 time: 0.5128 data_time: 0.0321 memory: 18104 grad_norm: 7.5079 loss: 1.8120 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 0.9824 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 0.8296 2023/02/03 09:30:08 - mmengine - INFO - Epoch(train) [248][ 940/1879] lr: 3.6131e-04 eta: 2:17:14 time: 0.5265 data_time: 0.0385 memory: 18104 grad_norm: 7.6745 loss: 1.9785 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1094 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.8691 2023/02/03 09:30:19 - mmengine - INFO - Epoch(train) [248][ 960/1879] lr: 3.6040e-04 eta: 2:17:03 time: 0.5141 data_time: 0.0341 memory: 18104 grad_norm: 7.7391 loss: 1.9370 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.0119 top1_acc_1: 0.6941 top5_acc_1: 0.8706 loss_cls_1: 0.9251 2023/02/03 09:30:29 - mmengine - INFO - Epoch(train) [248][ 980/1879] lr: 3.5950e-04 eta: 2:16:53 time: 0.5148 data_time: 0.0343 memory: 18104 grad_norm: 7.4795 loss: 1.9722 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0975 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.8746 2023/02/03 09:30:39 - mmengine - INFO - Epoch(train) [248][1000/1879] lr: 3.5860e-04 eta: 2:16:43 time: 0.5209 data_time: 0.0401 memory: 18104 grad_norm: 7.7298 loss: 2.2117 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.3289 top1_acc_1: 0.7882 top5_acc_1: 0.8824 loss_cls_1: 0.8828 2023/02/03 09:30:50 - mmengine - INFO - Epoch(train) [248][1020/1879] lr: 3.5770e-04 eta: 2:16:32 time: 0.5136 data_time: 0.0369 memory: 18104 grad_norm: 7.9251 loss: 2.2528 top1_acc_0: 0.4375 top5_acc_0: 0.8125 loss_cls_0: 1.3184 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9345 2023/02/03 09:31:00 - mmengine - INFO - Epoch(train) [248][1040/1879] lr: 3.5680e-04 eta: 2:16:22 time: 0.4967 data_time: 0.0322 memory: 18104 grad_norm: 7.6198 loss: 1.9661 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1102 top1_acc_1: 0.8824 top5_acc_1: 0.9176 loss_cls_1: 0.8559 2023/02/03 09:31:10 - mmengine - INFO - Epoch(train) [248][1060/1879] lr: 3.5590e-04 eta: 2:16:12 time: 0.5096 data_time: 0.0342 memory: 18104 grad_norm: 7.6865 loss: 1.9926 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0690 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9236 2023/02/03 09:31:20 - mmengine - INFO - Epoch(train) [248][1080/1879] lr: 3.5501e-04 eta: 2:16:01 time: 0.5020 data_time: 0.0328 memory: 18104 grad_norm: 7.6073 loss: 1.9163 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 0.9883 top1_acc_1: 0.7059 top5_acc_1: 0.9412 loss_cls_1: 0.9281 2023/02/03 09:31:30 - mmengine - INFO - Epoch(train) [248][1100/1879] lr: 3.5411e-04 eta: 2:15:51 time: 0.5133 data_time: 0.0335 memory: 18104 grad_norm: 7.8265 loss: 2.1105 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1874 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9231 2023/02/03 09:31:40 - mmengine - INFO - Epoch(train) [248][1120/1879] lr: 3.5322e-04 eta: 2:15:41 time: 0.5013 data_time: 0.0358 memory: 18104 grad_norm: 7.5832 loss: 1.9994 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1203 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.8791 2023/02/03 09:31:51 - mmengine - INFO - Epoch(train) [248][1140/1879] lr: 3.5232e-04 eta: 2:15:30 time: 0.5143 data_time: 0.0410 memory: 18104 grad_norm: 7.8054 loss: 2.1212 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2093 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9119 2023/02/03 09:32:01 - mmengine - INFO - Epoch(train) [248][1160/1879] lr: 3.5143e-04 eta: 2:15:20 time: 0.5171 data_time: 0.0360 memory: 18104 grad_norm: 7.4497 loss: 2.1934 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1952 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9982 2023/02/03 09:32:11 - mmengine - INFO - Epoch(train) [248][1180/1879] lr: 3.5054e-04 eta: 2:15:10 time: 0.5211 data_time: 0.0351 memory: 18104 grad_norm: 7.7264 loss: 1.8886 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0207 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.8680 2023/02/03 09:32:22 - mmengine - INFO - Epoch(train) [248][1200/1879] lr: 3.4965e-04 eta: 2:14:59 time: 0.5135 data_time: 0.0420 memory: 18104 grad_norm: 7.6931 loss: 2.1094 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1737 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.9357 2023/02/03 09:32:32 - mmengine - INFO - Epoch(train) [248][1220/1879] lr: 3.4876e-04 eta: 2:14:49 time: 0.5140 data_time: 0.0347 memory: 18104 grad_norm: 7.6698 loss: 2.0204 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.0925 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9280 2023/02/03 09:32:42 - mmengine - INFO - Epoch(train) [248][1240/1879] lr: 3.4788e-04 eta: 2:14:39 time: 0.5144 data_time: 0.0336 memory: 18104 grad_norm: 7.6512 loss: 2.1460 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1995 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 0.9465 2023/02/03 09:32:53 - mmengine - INFO - Epoch(train) [248][1260/1879] lr: 3.4699e-04 eta: 2:14:28 time: 0.5104 data_time: 0.0339 memory: 18104 grad_norm: 7.6536 loss: 2.2018 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2675 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.9343 2023/02/03 09:33:03 - mmengine - INFO - Epoch(train) [248][1280/1879] lr: 3.4610e-04 eta: 2:14:18 time: 0.5136 data_time: 0.0354 memory: 18104 grad_norm: 7.7679 loss: 1.9835 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0596 top1_acc_1: 0.8588 top5_acc_1: 0.9647 loss_cls_1: 0.9239 2023/02/03 09:33:13 - mmengine - INFO - Epoch(train) [248][1300/1879] lr: 3.4522e-04 eta: 2:14:08 time: 0.5258 data_time: 0.0356 memory: 18104 grad_norm: 7.3977 loss: 2.0725 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1277 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.9448 2023/02/03 09:33:24 - mmengine - INFO - Epoch(train) [248][1320/1879] lr: 3.4434e-04 eta: 2:13:58 time: 0.5186 data_time: 0.0338 memory: 18104 grad_norm: 7.7206 loss: 2.0999 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1787 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9213 2023/02/03 09:33:34 - mmengine - INFO - Epoch(train) [248][1340/1879] lr: 3.4346e-04 eta: 2:13:47 time: 0.5268 data_time: 0.0357 memory: 18104 grad_norm: 7.6600 loss: 2.1704 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2498 top1_acc_1: 0.8471 top5_acc_1: 0.9176 loss_cls_1: 0.9206 2023/02/03 09:33:45 - mmengine - INFO - Epoch(train) [248][1360/1879] lr: 3.4258e-04 eta: 2:13:37 time: 0.5217 data_time: 0.0336 memory: 18104 grad_norm: 7.6251 loss: 2.1830 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.3023 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.8807 2023/02/03 09:33:55 - mmengine - INFO - Epoch(train) [248][1380/1879] lr: 3.4170e-04 eta: 2:13:27 time: 0.5238 data_time: 0.0348 memory: 18104 grad_norm: 7.7839 loss: 2.1114 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1441 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9673 2023/02/03 09:34:06 - mmengine - INFO - Epoch(train) [248][1400/1879] lr: 3.4082e-04 eta: 2:13:16 time: 0.5163 data_time: 0.0412 memory: 18104 grad_norm: 7.7676 loss: 1.9256 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.0209 top1_acc_1: 0.7882 top5_acc_1: 0.8824 loss_cls_1: 0.9047 2023/02/03 09:34:16 - mmengine - INFO - Epoch(train) [248][1420/1879] lr: 3.3994e-04 eta: 2:13:06 time: 0.5074 data_time: 0.0344 memory: 18104 grad_norm: 7.6334 loss: 2.1648 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2187 top1_acc_1: 0.7765 top5_acc_1: 0.9647 loss_cls_1: 0.9461 2023/02/03 09:34:26 - mmengine - INFO - Epoch(train) [248][1440/1879] lr: 3.3906e-04 eta: 2:12:56 time: 0.5172 data_time: 0.0334 memory: 18104 grad_norm: 7.6957 loss: 2.2435 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.3024 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9411 2023/02/03 09:34:37 - mmengine - INFO - Epoch(train) [248][1460/1879] lr: 3.3819e-04 eta: 2:12:45 time: 0.5280 data_time: 0.0442 memory: 18104 grad_norm: 7.6761 loss: 1.9172 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0634 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.8538 2023/02/03 09:34:47 - mmengine - INFO - Epoch(train) [248][1480/1879] lr: 3.3732e-04 eta: 2:12:35 time: 0.5097 data_time: 0.0312 memory: 18104 grad_norm: 7.7283 loss: 1.9707 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.1221 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.8486 2023/02/03 09:34:57 - mmengine - INFO - Epoch(train) [248][1500/1879] lr: 3.3644e-04 eta: 2:12:25 time: 0.5153 data_time: 0.0371 memory: 18104 grad_norm: 7.7291 loss: 2.1034 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.2121 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.8913 2023/02/03 09:35:08 - mmengine - INFO - Epoch(train) [248][1520/1879] lr: 3.3557e-04 eta: 2:12:15 time: 0.5174 data_time: 0.0326 memory: 18104 grad_norm: 7.6260 loss: 1.9704 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.0994 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.8711 2023/02/03 09:35:18 - mmengine - INFO - Epoch(train) [248][1540/1879] lr: 3.3470e-04 eta: 2:12:04 time: 0.5141 data_time: 0.0333 memory: 18104 grad_norm: 7.4274 loss: 1.8923 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 0.9881 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.9041 2023/02/03 09:35:28 - mmengine - INFO - Epoch(train) [248][1560/1879] lr: 3.3383e-04 eta: 2:11:54 time: 0.5185 data_time: 0.0354 memory: 18104 grad_norm: 7.4899 loss: 1.9150 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0107 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 0.9043 2023/02/03 09:35:39 - mmengine - INFO - Epoch(train) [248][1580/1879] lr: 3.3296e-04 eta: 2:11:44 time: 0.5163 data_time: 0.0349 memory: 18104 grad_norm: 7.5840 loss: 2.0514 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.0888 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 0.9626 2023/02/03 09:35:49 - mmengine - INFO - Epoch(train) [248][1600/1879] lr: 3.3210e-04 eta: 2:11:33 time: 0.5247 data_time: 0.0425 memory: 18104 grad_norm: 7.5389 loss: 2.1355 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2320 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.9035 2023/02/03 09:36:00 - mmengine - INFO - Epoch(train) [248][1620/1879] lr: 3.3123e-04 eta: 2:11:23 time: 0.5098 data_time: 0.0366 memory: 18104 grad_norm: 7.7286 loss: 1.8424 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 0.9673 top1_acc_1: 0.8118 top5_acc_1: 0.9647 loss_cls_1: 0.8751 2023/02/03 09:36:10 - mmengine - INFO - Epoch(train) [248][1640/1879] lr: 3.3036e-04 eta: 2:11:13 time: 0.5204 data_time: 0.0330 memory: 18104 grad_norm: 7.6553 loss: 2.0077 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0853 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 0.9224 2023/02/03 09:36:20 - mmengine - INFO - Epoch(train) [248][1660/1879] lr: 3.2950e-04 eta: 2:11:02 time: 0.5109 data_time: 0.0339 memory: 18104 grad_norm: 7.8123 loss: 1.9537 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1118 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.8418 2023/02/03 09:36:31 - mmengine - INFO - Epoch(train) [248][1680/1879] lr: 3.2864e-04 eta: 2:10:52 time: 0.5308 data_time: 0.0404 memory: 18104 grad_norm: 7.6856 loss: 1.9800 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.0519 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9281 2023/02/03 09:36:41 - mmengine - INFO - Epoch(train) [248][1700/1879] lr: 3.2778e-04 eta: 2:10:42 time: 0.5215 data_time: 0.0346 memory: 18104 grad_norm: 7.6307 loss: 1.9906 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0347 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 0.9559 2023/02/03 09:36:52 - mmengine - INFO - Epoch(train) [248][1720/1879] lr: 3.2692e-04 eta: 2:10:31 time: 0.5109 data_time: 0.0331 memory: 18104 grad_norm: 7.6554 loss: 2.0768 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1482 top1_acc_1: 0.8235 top5_acc_1: 0.8941 loss_cls_1: 0.9286 2023/02/03 09:37:02 - mmengine - INFO - Epoch(train) [248][1740/1879] lr: 3.2606e-04 eta: 2:10:21 time: 0.5335 data_time: 0.0469 memory: 18104 grad_norm: 7.7907 loss: 1.8825 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0230 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 0.8595 2023/02/03 09:37:13 - mmengine - INFO - Epoch(train) [248][1760/1879] lr: 3.2520e-04 eta: 2:10:11 time: 0.5269 data_time: 0.0325 memory: 18104 grad_norm: 7.8133 loss: 1.9080 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.0272 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.8808 2023/02/03 09:37:23 - mmengine - INFO - Epoch(train) [248][1780/1879] lr: 3.2434e-04 eta: 2:10:01 time: 0.5119 data_time: 0.0340 memory: 18104 grad_norm: 7.6288 loss: 1.8530 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 0.9857 top1_acc_1: 0.8000 top5_acc_1: 0.8941 loss_cls_1: 0.8672 2023/02/03 09:37:34 - mmengine - INFO - Epoch(train) [248][1800/1879] lr: 3.2349e-04 eta: 2:09:50 time: 0.5285 data_time: 0.0478 memory: 18104 grad_norm: 7.8357 loss: 2.0219 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0875 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 0.9344 2023/02/03 09:37:44 - mmengine - INFO - Epoch(train) [248][1820/1879] lr: 3.2263e-04 eta: 2:09:40 time: 0.5166 data_time: 0.0284 memory: 18104 grad_norm: 7.6775 loss: 1.9607 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0687 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 0.8920 2023/02/03 09:37:54 - mmengine - INFO - Epoch(train) [248][1840/1879] lr: 3.2178e-04 eta: 2:09:30 time: 0.5165 data_time: 0.0406 memory: 18104 grad_norm: 8.0506 loss: 1.9686 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1042 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 0.8644 2023/02/03 09:38:04 - mmengine - INFO - Epoch(train) [248][1860/1879] lr: 3.2092e-04 eta: 2:09:19 time: 0.5033 data_time: 0.0299 memory: 18104 grad_norm: 7.8188 loss: 2.0941 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.1903 top1_acc_1: 0.8000 top5_acc_1: 0.8941 loss_cls_1: 0.9038 2023/02/03 09:38:14 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 09:38:14 - mmengine - INFO - Epoch(train) [248][1879/1879] lr: 3.2012e-04 eta: 2:09:09 time: 0.4916 data_time: 0.0391 memory: 18104 grad_norm: 7.8250 loss: 1.9443 top1_acc_0: 0.5714 top5_acc_0: 1.0000 loss_cls_0: 1.0588 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 0.8855 2023/02/03 09:38:15 - mmengine - INFO - Saving checkpoint at 248 epochs 2023/02/03 09:38:26 - mmengine - INFO - Epoch(val) [248][ 20/155] eta: 0:01:01 time: 0.4579 data_time: 0.3446 memory: 1900 2023/02/03 09:38:35 - mmengine - INFO - Epoch(val) [248][ 40/155] eta: 0:00:51 time: 0.4454 data_time: 0.3344 memory: 1900 2023/02/03 09:38:43 - mmengine - INFO - Epoch(val) [248][ 60/155] eta: 0:00:41 time: 0.4226 data_time: 0.3119 memory: 1900 2023/02/03 09:38:52 - mmengine - INFO - Epoch(val) [248][ 80/155] eta: 0:00:33 time: 0.4617 data_time: 0.3498 memory: 1900 2023/02/03 09:39:01 - mmengine - INFO - Epoch(val) [248][100/155] eta: 0:00:24 time: 0.4513 data_time: 0.3398 memory: 1900 2023/02/03 09:39:10 - mmengine - INFO - Epoch(val) [248][120/155] eta: 0:00:15 time: 0.4618 data_time: 0.3490 memory: 1900 2023/02/03 09:39:19 - mmengine - INFO - Epoch(val) [248][140/155] eta: 0:00:06 time: 0.4334 data_time: 0.3217 memory: 1900 2023/02/03 09:39:27 - mmengine - INFO - Epoch(val) [248][155/155] acc/top1: 0.7095 acc/top5: 0.8912 acc/mean1: 0.7094 2023/02/03 09:39:27 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_244.pth is removed 2023/02/03 09:39:29 - mmengine - INFO - The best checkpoint with 0.7095 acc/top1 at 248 epoch is saved to best_acc/top1_epoch_248.pth. 2023/02/03 09:39:37 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 09:39:43 - mmengine - INFO - Epoch(train) [249][ 20/1879] lr: 3.1927e-04 eta: 2:09:00 time: 0.6881 data_time: 0.2266 memory: 18104 grad_norm: 7.5131 loss: 2.0968 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1312 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.9656 2023/02/03 09:39:52 - mmengine - INFO - Epoch(train) [249][ 40/1879] lr: 3.1842e-04 eta: 2:08:49 time: 0.4705 data_time: 0.0304 memory: 18104 grad_norm: 7.6734 loss: 2.0955 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.1694 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 0.9261 2023/02/03 09:40:02 - mmengine - INFO - Epoch(train) [249][ 60/1879] lr: 3.1757e-04 eta: 2:08:39 time: 0.4986 data_time: 0.0374 memory: 18104 grad_norm: 7.6553 loss: 2.1016 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1871 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.9144 2023/02/03 09:40:12 - mmengine - INFO - Epoch(train) [249][ 80/1879] lr: 3.1672e-04 eta: 2:08:28 time: 0.5032 data_time: 0.0378 memory: 18104 grad_norm: 7.4408 loss: 2.0221 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1649 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 0.8572 2023/02/03 09:40:22 - mmengine - INFO - Epoch(train) [249][ 100/1879] lr: 3.1588e-04 eta: 2:08:18 time: 0.4854 data_time: 0.0390 memory: 18104 grad_norm: 7.6903 loss: 2.0088 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.0589 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.9499 2023/02/03 09:40:32 - mmengine - INFO - Epoch(train) [249][ 120/1879] lr: 3.1503e-04 eta: 2:08:08 time: 0.4693 data_time: 0.0298 memory: 18104 grad_norm: 7.7607 loss: 2.1373 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.2250 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9124 2023/02/03 09:40:42 - mmengine - INFO - Epoch(train) [249][ 140/1879] lr: 3.1419e-04 eta: 2:07:57 time: 0.5296 data_time: 0.0462 memory: 18104 grad_norm: 7.7916 loss: 2.1564 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2832 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.8732 2023/02/03 09:40:52 - mmengine - INFO - Epoch(train) [249][ 160/1879] lr: 3.1335e-04 eta: 2:07:47 time: 0.4745 data_time: 0.0325 memory: 18104 grad_norm: 7.5328 loss: 1.9209 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.0203 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 0.9006 2023/02/03 09:41:02 - mmengine - INFO - Epoch(train) [249][ 180/1879] lr: 3.1250e-04 eta: 2:07:37 time: 0.4920 data_time: 0.0359 memory: 18104 grad_norm: 7.3911 loss: 1.9643 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0772 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 0.8871 2023/02/03 09:41:12 - mmengine - INFO - Epoch(train) [249][ 200/1879] lr: 3.1166e-04 eta: 2:07:26 time: 0.5089 data_time: 0.0309 memory: 18104 grad_norm: 7.6383 loss: 1.9999 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0064 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 0.9935 2023/02/03 09:41:22 - mmengine - INFO - Epoch(train) [249][ 220/1879] lr: 3.1082e-04 eta: 2:07:16 time: 0.5154 data_time: 0.0463 memory: 18104 grad_norm: 7.7955 loss: 2.1217 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1775 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 0.9442 2023/02/03 09:41:32 - mmengine - INFO - Epoch(train) [249][ 240/1879] lr: 3.0999e-04 eta: 2:07:06 time: 0.4839 data_time: 0.0310 memory: 18104 grad_norm: 7.5047 loss: 1.8833 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0006 top1_acc_1: 0.7412 top5_acc_1: 0.9529 loss_cls_1: 0.8826 2023/02/03 09:41:42 - mmengine - INFO - Epoch(train) [249][ 260/1879] lr: 3.0915e-04 eta: 2:06:55 time: 0.5119 data_time: 0.0403 memory: 18104 grad_norm: 7.8161 loss: 1.9681 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0919 top1_acc_1: 0.8353 top5_acc_1: 0.9176 loss_cls_1: 0.8762 2023/02/03 09:41:52 - mmengine - INFO - Epoch(train) [249][ 280/1879] lr: 3.0831e-04 eta: 2:06:45 time: 0.5067 data_time: 0.0405 memory: 18104 grad_norm: 7.5931 loss: 2.0684 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.1556 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 0.9128 2023/02/03 09:42:02 - mmengine - INFO - Epoch(train) [249][ 300/1879] lr: 3.0748e-04 eta: 2:06:35 time: 0.4920 data_time: 0.0405 memory: 18104 grad_norm: 7.8630 loss: 1.8353 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 0.8914 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 0.9439 2023/02/03 09:42:12 - mmengine - INFO - Epoch(train) [249][ 320/1879] lr: 3.0665e-04 eta: 2:06:24 time: 0.4846 data_time: 0.0327 memory: 18104 grad_norm: 7.4220 loss: 2.0353 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1101 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 0.9252 2023/02/03 09:42:22 - mmengine - INFO - Epoch(train) [249][ 340/1879] lr: 3.0581e-04 eta: 2:06:14 time: 0.5190 data_time: 0.0461 memory: 18104 grad_norm: 8.0848 loss: 1.9510 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0679 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.8831 2023/02/03 09:42:32 - mmengine - INFO - Epoch(train) [249][ 360/1879] lr: 3.0498e-04 eta: 2:06:04 time: 0.4954 data_time: 0.0305 memory: 18104 grad_norm: 7.6010 loss: 1.9132 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.0349 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 0.8783 2023/02/03 09:42:42 - mmengine - INFO - Epoch(train) [249][ 380/1879] lr: 3.0415e-04 eta: 2:05:53 time: 0.4989 data_time: 0.0396 memory: 18104 grad_norm: 7.6814 loss: 2.1020 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2223 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.8798 2023/02/03 09:42:52 - mmengine - INFO - Epoch(train) [249][ 400/1879] lr: 3.0332e-04 eta: 2:05:43 time: 0.4994 data_time: 0.0315 memory: 18104 grad_norm: 7.6729 loss: 1.7392 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 0.9116 top1_acc_1: 0.8941 top5_acc_1: 0.9647 loss_cls_1: 0.8276 2023/02/03 09:43:02 - mmengine - INFO - Epoch(train) [249][ 420/1879] lr: 3.0250e-04 eta: 2:05:33 time: 0.5120 data_time: 0.0443 memory: 18104 grad_norm: 7.8513 loss: 1.9247 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0696 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.8551 2023/02/03 09:43:12 - mmengine - INFO - Epoch(train) [249][ 440/1879] lr: 3.0167e-04 eta: 2:05:22 time: 0.4837 data_time: 0.0314 memory: 18104 grad_norm: 7.3235 loss: 1.9184 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0138 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9047 2023/02/03 09:43:22 - mmengine - INFO - Epoch(train) [249][ 460/1879] lr: 3.0084e-04 eta: 2:05:12 time: 0.5097 data_time: 0.0395 memory: 18104 grad_norm: 7.7956 loss: 1.9504 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.0918 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.8586 2023/02/03 09:43:32 - mmengine - INFO - Epoch(train) [249][ 480/1879] lr: 3.0002e-04 eta: 2:05:02 time: 0.4901 data_time: 0.0367 memory: 18104 grad_norm: 7.4875 loss: 1.9427 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.0597 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.8829 2023/02/03 09:43:42 - mmengine - INFO - Epoch(train) [249][ 500/1879] lr: 2.9920e-04 eta: 2:04:51 time: 0.4989 data_time: 0.0383 memory: 18104 grad_norm: 7.6820 loss: 2.1001 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1674 top1_acc_1: 0.7059 top5_acc_1: 0.9412 loss_cls_1: 0.9327 2023/02/03 09:43:52 - mmengine - INFO - Epoch(train) [249][ 520/1879] lr: 2.9837e-04 eta: 2:04:41 time: 0.4785 data_time: 0.0316 memory: 18104 grad_norm: 7.6987 loss: 2.0222 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1069 top1_acc_1: 0.8353 top5_acc_1: 0.9647 loss_cls_1: 0.9153 2023/02/03 09:44:02 - mmengine - INFO - Epoch(train) [249][ 540/1879] lr: 2.9755e-04 eta: 2:04:30 time: 0.5114 data_time: 0.0479 memory: 18104 grad_norm: 7.5823 loss: 2.0447 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1391 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 0.9056 2023/02/03 09:44:12 - mmengine - INFO - Epoch(train) [249][ 560/1879] lr: 2.9673e-04 eta: 2:04:20 time: 0.4867 data_time: 0.0311 memory: 18104 grad_norm: 7.4208 loss: 1.9541 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0573 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.8968 2023/02/03 09:44:22 - mmengine - INFO - Epoch(train) [249][ 580/1879] lr: 2.9592e-04 eta: 2:04:10 time: 0.4991 data_time: 0.0371 memory: 18104 grad_norm: 7.6740 loss: 2.0069 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.0642 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 0.9427 2023/02/03 09:44:32 - mmengine - INFO - Epoch(train) [249][ 600/1879] lr: 2.9510e-04 eta: 2:03:59 time: 0.5088 data_time: 0.0319 memory: 18104 grad_norm: 7.7304 loss: 2.0354 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.1175 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9179 2023/02/03 09:44:42 - mmengine - INFO - Epoch(train) [249][ 620/1879] lr: 2.9428e-04 eta: 2:03:49 time: 0.5104 data_time: 0.0437 memory: 18104 grad_norm: 7.7555 loss: 2.0287 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1402 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 0.8886 2023/02/03 09:44:52 - mmengine - INFO - Epoch(train) [249][ 640/1879] lr: 2.9347e-04 eta: 2:03:39 time: 0.4860 data_time: 0.0305 memory: 18104 grad_norm: 7.5204 loss: 1.7650 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 0.8936 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.8714 2023/02/03 09:45:02 - mmengine - INFO - Epoch(train) [249][ 660/1879] lr: 2.9265e-04 eta: 2:03:28 time: 0.5140 data_time: 0.0379 memory: 18104 grad_norm: 7.6186 loss: 2.1084 top1_acc_0: 0.5000 top5_acc_0: 0.5625 loss_cls_0: 1.1621 top1_acc_1: 0.8353 top5_acc_1: 0.9647 loss_cls_1: 0.9463 2023/02/03 09:45:12 - mmengine - INFO - Epoch(train) [249][ 680/1879] lr: 2.9184e-04 eta: 2:03:18 time: 0.5007 data_time: 0.0362 memory: 18104 grad_norm: 7.6055 loss: 2.0720 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1706 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.9014 2023/02/03 09:45:22 - mmengine - INFO - Epoch(train) [249][ 700/1879] lr: 2.9103e-04 eta: 2:03:08 time: 0.5009 data_time: 0.0373 memory: 18104 grad_norm: 7.6122 loss: 1.9304 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.0603 top1_acc_1: 0.8471 top5_acc_1: 0.9294 loss_cls_1: 0.8700 2023/02/03 09:45:32 - mmengine - INFO - Epoch(train) [249][ 720/1879] lr: 2.9022e-04 eta: 2:02:57 time: 0.4874 data_time: 0.0309 memory: 18104 grad_norm: 7.8133 loss: 2.1340 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2426 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.8914 2023/02/03 09:45:42 - mmengine - INFO - Epoch(train) [249][ 740/1879] lr: 2.8941e-04 eta: 2:02:47 time: 0.5198 data_time: 0.0422 memory: 18104 grad_norm: 7.5381 loss: 2.0555 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1589 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.8966 2023/02/03 09:45:53 - mmengine - INFO - Epoch(train) [249][ 760/1879] lr: 2.8860e-04 eta: 2:02:37 time: 0.5002 data_time: 0.0320 memory: 18104 grad_norm: 7.4736 loss: 2.0545 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.1968 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 0.8577 2023/02/03 09:46:03 - mmengine - INFO - Epoch(train) [249][ 780/1879] lr: 2.8779e-04 eta: 2:02:26 time: 0.5054 data_time: 0.0390 memory: 18104 grad_norm: 7.6079 loss: 1.8629 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.0049 top1_acc_1: 0.8588 top5_acc_1: 0.9412 loss_cls_1: 0.8580 2023/02/03 09:46:13 - mmengine - INFO - Epoch(train) [249][ 800/1879] lr: 2.8698e-04 eta: 2:02:16 time: 0.5004 data_time: 0.0319 memory: 18104 grad_norm: 7.7494 loss: 1.8764 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 0.9875 top1_acc_1: 0.7882 top5_acc_1: 0.9647 loss_cls_1: 0.8889 2023/02/03 09:46:23 - mmengine - INFO - Epoch(train) [249][ 820/1879] lr: 2.8618e-04 eta: 2:02:06 time: 0.5185 data_time: 0.0433 memory: 18104 grad_norm: 7.6897 loss: 1.9881 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.1252 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.8629 2023/02/03 09:46:33 - mmengine - INFO - Epoch(train) [249][ 840/1879] lr: 2.8537e-04 eta: 2:01:55 time: 0.4887 data_time: 0.0335 memory: 18104 grad_norm: 7.6728 loss: 1.8637 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 0.9563 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.9074 2023/02/03 09:46:43 - mmengine - INFO - Epoch(train) [249][ 860/1879] lr: 2.8457e-04 eta: 2:01:45 time: 0.4971 data_time: 0.0395 memory: 18104 grad_norm: 7.6973 loss: 1.9772 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1538 top1_acc_1: 0.7882 top5_acc_1: 0.8706 loss_cls_1: 0.8234 2023/02/03 09:46:53 - mmengine - INFO - Epoch(train) [249][ 880/1879] lr: 2.8377e-04 eta: 2:01:35 time: 0.5152 data_time: 0.0314 memory: 18104 grad_norm: 7.8141 loss: 1.9606 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1082 top1_acc_1: 0.8000 top5_acc_1: 0.9765 loss_cls_1: 0.8524 2023/02/03 09:47:03 - mmengine - INFO - Epoch(train) [249][ 900/1879] lr: 2.8297e-04 eta: 2:01:24 time: 0.5103 data_time: 0.0403 memory: 18104 grad_norm: 7.7089 loss: 1.8808 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.0742 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.8066 2023/02/03 09:47:14 - mmengine - INFO - Epoch(train) [249][ 920/1879] lr: 2.8217e-04 eta: 2:01:14 time: 0.5126 data_time: 0.0291 memory: 18104 grad_norm: 7.5411 loss: 1.9539 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0223 top1_acc_1: 0.7529 top5_acc_1: 0.9647 loss_cls_1: 0.9316 2023/02/03 09:47:24 - mmengine - INFO - Epoch(train) [249][ 940/1879] lr: 2.8137e-04 eta: 2:01:04 time: 0.5291 data_time: 0.0379 memory: 18104 grad_norm: 7.4380 loss: 1.8244 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 0.8881 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 0.9363 2023/02/03 09:47:35 - mmengine - INFO - Epoch(train) [249][ 960/1879] lr: 2.8057e-04 eta: 2:00:54 time: 0.5276 data_time: 0.0340 memory: 18104 grad_norm: 7.5297 loss: 2.1498 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2231 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 0.9267 2023/02/03 09:47:45 - mmengine - INFO - Epoch(train) [249][ 980/1879] lr: 2.7978e-04 eta: 2:00:43 time: 0.5146 data_time: 0.0376 memory: 18104 grad_norm: 7.7451 loss: 2.1035 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2251 top1_acc_1: 0.7882 top5_acc_1: 0.9765 loss_cls_1: 0.8784 2023/02/03 09:47:55 - mmengine - INFO - Epoch(train) [249][1000/1879] lr: 2.7898e-04 eta: 2:00:33 time: 0.5123 data_time: 0.0297 memory: 18104 grad_norm: 7.5168 loss: 1.8939 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 0.9649 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9291 2023/02/03 09:48:00 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 09:48:06 - mmengine - INFO - Epoch(train) [249][1020/1879] lr: 2.7819e-04 eta: 2:00:23 time: 0.5412 data_time: 0.0415 memory: 18104 grad_norm: 7.8424 loss: 2.0503 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1176 top1_acc_1: 0.8235 top5_acc_1: 0.8941 loss_cls_1: 0.9327 2023/02/03 09:48:17 - mmengine - INFO - Epoch(train) [249][1040/1879] lr: 2.7740e-04 eta: 2:00:12 time: 0.5150 data_time: 0.0296 memory: 18104 grad_norm: 7.5979 loss: 2.0937 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.0833 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 1.0104 2023/02/03 09:48:27 - mmengine - INFO - Epoch(train) [249][1060/1879] lr: 2.7660e-04 eta: 2:00:02 time: 0.5154 data_time: 0.0374 memory: 18104 grad_norm: 7.6950 loss: 2.0693 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.1666 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.9027 2023/02/03 09:48:38 - mmengine - INFO - Epoch(train) [249][1080/1879] lr: 2.7581e-04 eta: 1:59:52 time: 0.5300 data_time: 0.0284 memory: 18104 grad_norm: 7.6651 loss: 1.8101 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 0.9537 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.8564 2023/02/03 09:48:48 - mmengine - INFO - Epoch(train) [249][1100/1879] lr: 2.7502e-04 eta: 1:59:41 time: 0.5222 data_time: 0.0435 memory: 18104 grad_norm: 7.4519 loss: 2.0045 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1394 top1_acc_1: 0.8118 top5_acc_1: 0.9647 loss_cls_1: 0.8651 2023/02/03 09:48:58 - mmengine - INFO - Epoch(train) [249][1120/1879] lr: 2.7424e-04 eta: 1:59:31 time: 0.5136 data_time: 0.0307 memory: 18104 grad_norm: 7.7261 loss: 1.8944 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0002 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.8941 2023/02/03 09:49:09 - mmengine - INFO - Epoch(train) [249][1140/1879] lr: 2.7345e-04 eta: 1:59:21 time: 0.5406 data_time: 0.0367 memory: 18104 grad_norm: 7.6319 loss: 2.1616 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2462 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9154 2023/02/03 09:49:20 - mmengine - INFO - Epoch(train) [249][1160/1879] lr: 2.7266e-04 eta: 1:59:11 time: 0.5158 data_time: 0.0303 memory: 18104 grad_norm: 7.6332 loss: 2.1081 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1717 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9364 2023/02/03 09:49:30 - mmengine - INFO - Epoch(train) [249][1180/1879] lr: 2.7188e-04 eta: 1:59:00 time: 0.5191 data_time: 0.0376 memory: 18104 grad_norm: 7.6562 loss: 1.9952 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1773 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.8179 2023/02/03 09:49:40 - mmengine - INFO - Epoch(train) [249][1200/1879] lr: 2.7109e-04 eta: 1:58:50 time: 0.5011 data_time: 0.0298 memory: 18104 grad_norm: 7.5911 loss: 1.9832 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0659 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9173 2023/02/03 09:49:51 - mmengine - INFO - Epoch(train) [249][1220/1879] lr: 2.7031e-04 eta: 1:58:40 time: 0.5452 data_time: 0.0457 memory: 18104 grad_norm: 7.7574 loss: 2.0184 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1035 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.9149 2023/02/03 09:50:01 - mmengine - INFO - Epoch(train) [249][1240/1879] lr: 2.6953e-04 eta: 1:58:29 time: 0.5081 data_time: 0.0304 memory: 18104 grad_norm: 7.6304 loss: 1.9507 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 0.9848 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.9660 2023/02/03 09:50:11 - mmengine - INFO - Epoch(train) [249][1260/1879] lr: 2.6875e-04 eta: 1:58:19 time: 0.5198 data_time: 0.0369 memory: 18104 grad_norm: 7.6256 loss: 2.0046 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1265 top1_acc_1: 0.8471 top5_acc_1: 0.9412 loss_cls_1: 0.8782 2023/02/03 09:50:22 - mmengine - INFO - Epoch(train) [249][1280/1879] lr: 2.6797e-04 eta: 1:58:09 time: 0.5364 data_time: 0.0303 memory: 18104 grad_norm: 7.9748 loss: 2.1608 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.1470 top1_acc_1: 0.8353 top5_acc_1: 0.9882 loss_cls_1: 1.0138 2023/02/03 09:50:33 - mmengine - INFO - Epoch(train) [249][1300/1879] lr: 2.6719e-04 eta: 1:57:58 time: 0.5295 data_time: 0.0435 memory: 18104 grad_norm: 7.7051 loss: 1.9893 top1_acc_0: 0.3750 top5_acc_0: 0.7500 loss_cls_0: 1.1135 top1_acc_1: 0.7529 top5_acc_1: 0.8588 loss_cls_1: 0.8758 2023/02/03 09:50:43 - mmengine - INFO - Epoch(train) [249][1320/1879] lr: 2.6642e-04 eta: 1:57:48 time: 0.4993 data_time: 0.0300 memory: 18104 grad_norm: 7.6193 loss: 1.9962 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.0863 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 0.9099 2023/02/03 09:50:54 - mmengine - INFO - Epoch(train) [249][1340/1879] lr: 2.6564e-04 eta: 1:57:38 time: 0.5431 data_time: 0.0384 memory: 18104 grad_norm: 7.7432 loss: 2.0039 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0774 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 0.9265 2023/02/03 09:51:04 - mmengine - INFO - Epoch(train) [249][1360/1879] lr: 2.6486e-04 eta: 1:57:28 time: 0.5247 data_time: 0.0279 memory: 18104 grad_norm: 7.8212 loss: 2.1934 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3558 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.8376 2023/02/03 09:51:15 - mmengine - INFO - Epoch(train) [249][1380/1879] lr: 2.6409e-04 eta: 1:57:17 time: 0.5241 data_time: 0.0378 memory: 18104 grad_norm: 7.5677 loss: 1.8938 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 0.9289 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 0.9649 2023/02/03 09:51:25 - mmengine - INFO - Epoch(train) [249][1400/1879] lr: 2.6332e-04 eta: 1:57:07 time: 0.5051 data_time: 0.0280 memory: 18104 grad_norm: 7.3387 loss: 1.8095 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 0.9038 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9057 2023/02/03 09:51:36 - mmengine - INFO - Epoch(train) [249][1420/1879] lr: 2.6255e-04 eta: 1:56:57 time: 0.5339 data_time: 0.0363 memory: 18104 grad_norm: 7.5709 loss: 1.8972 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 0.9755 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9218 2023/02/03 09:51:46 - mmengine - INFO - Epoch(train) [249][1440/1879] lr: 2.6178e-04 eta: 1:56:46 time: 0.5035 data_time: 0.0366 memory: 18104 grad_norm: 7.7961 loss: 1.8808 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.0165 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.8643 2023/02/03 09:51:56 - mmengine - INFO - Epoch(train) [249][1460/1879] lr: 2.6101e-04 eta: 1:56:36 time: 0.5095 data_time: 0.0368 memory: 18104 grad_norm: 7.7344 loss: 1.8539 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 0.9886 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.8653 2023/02/03 09:52:06 - mmengine - INFO - Epoch(train) [249][1480/1879] lr: 2.6024e-04 eta: 1:56:26 time: 0.5273 data_time: 0.0285 memory: 18104 grad_norm: 7.7154 loss: 2.1338 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.1955 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9383 2023/02/03 09:52:17 - mmengine - INFO - Epoch(train) [249][1500/1879] lr: 2.5947e-04 eta: 1:56:15 time: 0.5265 data_time: 0.0475 memory: 18104 grad_norm: 7.6439 loss: 2.0380 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0695 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9685 2023/02/03 09:52:27 - mmengine - INFO - Epoch(train) [249][1520/1879] lr: 2.5871e-04 eta: 1:56:05 time: 0.4939 data_time: 0.0294 memory: 18104 grad_norm: 7.6335 loss: 1.9304 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1081 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.8223 2023/02/03 09:52:37 - mmengine - INFO - Epoch(train) [249][1540/1879] lr: 2.5794e-04 eta: 1:55:55 time: 0.5170 data_time: 0.0367 memory: 18104 grad_norm: 7.5673 loss: 2.0064 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.1180 top1_acc_1: 0.7647 top5_acc_1: 0.8588 loss_cls_1: 0.8884 2023/02/03 09:52:48 - mmengine - INFO - Epoch(train) [249][1560/1879] lr: 2.5718e-04 eta: 1:55:44 time: 0.5161 data_time: 0.0308 memory: 18104 grad_norm: 7.8317 loss: 2.0329 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1664 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 0.8665 2023/02/03 09:52:58 - mmengine - INFO - Epoch(train) [249][1580/1879] lr: 2.5642e-04 eta: 1:55:34 time: 0.5256 data_time: 0.0387 memory: 18104 grad_norm: 7.7273 loss: 2.0778 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1633 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9145 2023/02/03 09:53:08 - mmengine - INFO - Epoch(train) [249][1600/1879] lr: 2.5566e-04 eta: 1:55:24 time: 0.4981 data_time: 0.0298 memory: 18104 grad_norm: 7.8103 loss: 2.2322 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.3373 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.8949 2023/02/03 09:53:19 - mmengine - INFO - Epoch(train) [249][1620/1879] lr: 2.5490e-04 eta: 1:55:14 time: 0.5326 data_time: 0.0372 memory: 18104 grad_norm: 7.7994 loss: 1.9354 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 0.9726 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 0.9628 2023/02/03 09:53:29 - mmengine - INFO - Epoch(train) [249][1640/1879] lr: 2.5414e-04 eta: 1:55:03 time: 0.5128 data_time: 0.0294 memory: 18104 grad_norm: 7.4921 loss: 2.0001 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.1431 top1_acc_1: 0.6706 top5_acc_1: 0.8941 loss_cls_1: 0.8569 2023/02/03 09:53:40 - mmengine - INFO - Epoch(train) [249][1660/1879] lr: 2.5338e-04 eta: 1:54:53 time: 0.5198 data_time: 0.0485 memory: 18104 grad_norm: 7.9158 loss: 2.0167 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1080 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9087 2023/02/03 09:53:50 - mmengine - INFO - Epoch(train) [249][1680/1879] lr: 2.5262e-04 eta: 1:54:43 time: 0.5327 data_time: 0.0319 memory: 18104 grad_norm: 7.5708 loss: 1.7866 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 0.9230 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.8636 2023/02/03 09:54:01 - mmengine - INFO - Epoch(train) [249][1700/1879] lr: 2.5187e-04 eta: 1:54:32 time: 0.5209 data_time: 0.0365 memory: 18104 grad_norm: 7.5854 loss: 2.0727 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2172 top1_acc_1: 0.7647 top5_acc_1: 0.9647 loss_cls_1: 0.8555 2023/02/03 09:54:11 - mmengine - INFO - Epoch(train) [249][1720/1879] lr: 2.5111e-04 eta: 1:54:22 time: 0.5158 data_time: 0.0389 memory: 18104 grad_norm: 7.6781 loss: 2.0726 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1727 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9000 2023/02/03 09:54:21 - mmengine - INFO - Epoch(train) [249][1740/1879] lr: 2.5036e-04 eta: 1:54:12 time: 0.5111 data_time: 0.0363 memory: 18104 grad_norm: 7.7357 loss: 1.9904 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.0637 top1_acc_1: 0.7765 top5_acc_1: 0.8706 loss_cls_1: 0.9267 2023/02/03 09:54:32 - mmengine - INFO - Epoch(train) [249][1760/1879] lr: 2.4961e-04 eta: 1:54:01 time: 0.5228 data_time: 0.0288 memory: 18104 grad_norm: 7.6719 loss: 1.9351 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0401 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.8950 2023/02/03 09:54:42 - mmengine - INFO - Epoch(train) [249][1780/1879] lr: 2.4886e-04 eta: 1:53:51 time: 0.5265 data_time: 0.0368 memory: 18104 grad_norm: 7.6902 loss: 2.0419 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.0838 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.9581 2023/02/03 09:54:52 - mmengine - INFO - Epoch(train) [249][1800/1879] lr: 2.4811e-04 eta: 1:53:41 time: 0.5032 data_time: 0.0379 memory: 18104 grad_norm: 7.8052 loss: 1.8569 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 0.9902 top1_acc_1: 0.8353 top5_acc_1: 0.9647 loss_cls_1: 0.8667 2023/02/03 09:55:03 - mmengine - INFO - Epoch(train) [249][1820/1879] lr: 2.4736e-04 eta: 1:53:31 time: 0.5342 data_time: 0.0361 memory: 18104 grad_norm: 7.8732 loss: 2.1308 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2188 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9121 2023/02/03 09:55:13 - mmengine - INFO - Epoch(train) [249][1840/1879] lr: 2.4661e-04 eta: 1:53:20 time: 0.5043 data_time: 0.0292 memory: 18104 grad_norm: 7.7049 loss: 1.8251 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 0.9371 top1_acc_1: 0.8471 top5_acc_1: 0.9412 loss_cls_1: 0.8880 2023/02/03 09:55:24 - mmengine - INFO - Epoch(train) [249][1860/1879] lr: 2.4586e-04 eta: 1:53:10 time: 0.5272 data_time: 0.0398 memory: 18104 grad_norm: 7.6145 loss: 2.0543 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1269 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.9274 2023/02/03 09:55:33 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 09:55:33 - mmengine - INFO - Epoch(train) [249][1879/1879] lr: 2.4515e-04 eta: 1:53:00 time: 0.4837 data_time: 0.0270 memory: 18104 grad_norm: 7.8062 loss: 1.9295 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.0162 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.9133 2023/02/03 09:55:48 - mmengine - INFO - Epoch(train) [250][ 20/1879] lr: 2.4441e-04 eta: 1:52:50 time: 0.7108 data_time: 0.2476 memory: 18104 grad_norm: 7.5463 loss: 2.0053 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1189 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.8864 2023/02/03 09:55:58 - mmengine - INFO - Epoch(train) [250][ 40/1879] lr: 2.4367e-04 eta: 1:52:40 time: 0.4806 data_time: 0.0346 memory: 18104 grad_norm: 7.9045 loss: 2.0684 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.1198 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9486 2023/02/03 09:56:07 - mmengine - INFO - Epoch(train) [250][ 60/1879] lr: 2.4293e-04 eta: 1:52:29 time: 0.4876 data_time: 0.0369 memory: 18104 grad_norm: 7.2929 loss: 1.9406 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0260 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 0.9145 2023/02/03 09:56:18 - mmengine - INFO - Epoch(train) [250][ 80/1879] lr: 2.4218e-04 eta: 1:52:19 time: 0.5393 data_time: 0.0417 memory: 18104 grad_norm: 7.6477 loss: 2.0959 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1788 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.9171 2023/02/03 09:56:28 - mmengine - INFO - Epoch(train) [250][ 100/1879] lr: 2.4144e-04 eta: 1:52:09 time: 0.4941 data_time: 0.0396 memory: 18104 grad_norm: 7.7776 loss: 2.0356 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.1613 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.8743 2023/02/03 09:56:38 - mmengine - INFO - Epoch(train) [250][ 120/1879] lr: 2.4071e-04 eta: 1:51:58 time: 0.4937 data_time: 0.0315 memory: 18104 grad_norm: 7.5259 loss: 1.9360 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 0.9876 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 0.9485 2023/02/03 09:56:43 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 09:56:49 - mmengine - INFO - Epoch(train) [250][ 140/1879] lr: 2.3997e-04 eta: 1:51:48 time: 0.5263 data_time: 0.0431 memory: 18104 grad_norm: 7.5695 loss: 1.9249 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.0775 top1_acc_1: 0.7647 top5_acc_1: 0.9647 loss_cls_1: 0.8474 2023/02/03 09:56:59 - mmengine - INFO - Epoch(train) [250][ 160/1879] lr: 2.3923e-04 eta: 1:51:38 time: 0.5149 data_time: 0.0362 memory: 18104 grad_norm: 7.6377 loss: 1.9526 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0998 top1_acc_1: 0.8588 top5_acc_1: 0.9294 loss_cls_1: 0.8528 2023/02/03 09:57:09 - mmengine - INFO - Epoch(train) [250][ 180/1879] lr: 2.3850e-04 eta: 1:51:27 time: 0.4985 data_time: 0.0325 memory: 18104 grad_norm: 7.6917 loss: 1.7676 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 0.9200 top1_acc_1: 0.8353 top5_acc_1: 0.9882 loss_cls_1: 0.8477 2023/02/03 09:57:19 - mmengine - INFO - Epoch(train) [250][ 200/1879] lr: 2.3776e-04 eta: 1:51:17 time: 0.5240 data_time: 0.0435 memory: 18104 grad_norm: 7.5755 loss: 2.0488 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1608 top1_acc_1: 0.6588 top5_acc_1: 0.9529 loss_cls_1: 0.8880 2023/02/03 09:57:29 - mmengine - INFO - Epoch(train) [250][ 220/1879] lr: 2.3703e-04 eta: 1:51:07 time: 0.5049 data_time: 0.0314 memory: 18104 grad_norm: 7.7095 loss: 1.9372 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0397 top1_acc_1: 0.8353 top5_acc_1: 0.9176 loss_cls_1: 0.8975 2023/02/03 09:57:40 - mmengine - INFO - Epoch(train) [250][ 240/1879] lr: 2.3630e-04 eta: 1:50:57 time: 0.5057 data_time: 0.0384 memory: 18104 grad_norm: 7.9436 loss: 1.8604 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.0095 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.8509 2023/02/03 09:57:50 - mmengine - INFO - Epoch(train) [250][ 260/1879] lr: 2.3557e-04 eta: 1:50:46 time: 0.5135 data_time: 0.0295 memory: 18104 grad_norm: 7.7726 loss: 2.1020 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1723 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 0.9297 2023/02/03 09:58:01 - mmengine - INFO - Epoch(train) [250][ 280/1879] lr: 2.3484e-04 eta: 1:50:36 time: 0.5436 data_time: 0.0458 memory: 18104 grad_norm: 7.4882 loss: 2.0513 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.1567 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 0.8946 2023/02/03 09:58:11 - mmengine - INFO - Epoch(train) [250][ 300/1879] lr: 2.3411e-04 eta: 1:50:26 time: 0.5100 data_time: 0.0303 memory: 18104 grad_norm: 7.8693 loss: 2.1656 top1_acc_0: 0.4375 top5_acc_0: 0.6250 loss_cls_0: 1.2716 top1_acc_1: 0.8471 top5_acc_1: 0.9765 loss_cls_1: 0.8940 2023/02/03 09:58:21 - mmengine - INFO - Epoch(train) [250][ 320/1879] lr: 2.3338e-04 eta: 1:50:15 time: 0.5227 data_time: 0.0351 memory: 18104 grad_norm: 7.7593 loss: 1.9383 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0152 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.9232 2023/02/03 09:58:32 - mmengine - INFO - Epoch(train) [250][ 340/1879] lr: 2.3266e-04 eta: 1:50:05 time: 0.5257 data_time: 0.0299 memory: 18104 grad_norm: 7.7252 loss: 2.0136 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.0830 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9305 2023/02/03 09:58:42 - mmengine - INFO - Epoch(train) [250][ 360/1879] lr: 2.3193e-04 eta: 1:49:55 time: 0.5197 data_time: 0.0372 memory: 18104 grad_norm: 7.7964 loss: 1.9787 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0832 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 0.8955 2023/02/03 09:58:53 - mmengine - INFO - Epoch(train) [250][ 380/1879] lr: 2.3121e-04 eta: 1:49:44 time: 0.5173 data_time: 0.0317 memory: 18104 grad_norm: 7.6918 loss: 1.9351 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 0.9893 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 0.9458 2023/02/03 09:59:03 - mmengine - INFO - Epoch(train) [250][ 400/1879] lr: 2.3048e-04 eta: 1:49:34 time: 0.5316 data_time: 0.0358 memory: 18104 grad_norm: 7.5684 loss: 1.7843 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 0.9573 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.8271 2023/02/03 09:59:14 - mmengine - INFO - Epoch(train) [250][ 420/1879] lr: 2.2976e-04 eta: 1:49:24 time: 0.5133 data_time: 0.0389 memory: 18104 grad_norm: 7.6080 loss: 2.1310 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2281 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 0.9029 2023/02/03 09:59:24 - mmengine - INFO - Epoch(train) [250][ 440/1879] lr: 2.2904e-04 eta: 1:49:14 time: 0.5196 data_time: 0.0367 memory: 18104 grad_norm: 7.4697 loss: 1.9043 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0026 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 0.9017 2023/02/03 09:59:35 - mmengine - INFO - Epoch(train) [250][ 460/1879] lr: 2.2832e-04 eta: 1:49:03 time: 0.5231 data_time: 0.0286 memory: 18104 grad_norm: 7.6189 loss: 1.9712 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0783 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 0.8929 2023/02/03 09:59:45 - mmengine - INFO - Epoch(train) [250][ 480/1879] lr: 2.2760e-04 eta: 1:48:53 time: 0.5275 data_time: 0.0415 memory: 18104 grad_norm: 7.7832 loss: 2.1705 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3367 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 0.8338 2023/02/03 09:59:55 - mmengine - INFO - Epoch(train) [250][ 500/1879] lr: 2.2689e-04 eta: 1:48:43 time: 0.5005 data_time: 0.0292 memory: 18104 grad_norm: 7.6666 loss: 1.9421 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0629 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 0.8792 2023/02/03 10:00:06 - mmengine - INFO - Epoch(train) [250][ 520/1879] lr: 2.2617e-04 eta: 1:48:32 time: 0.5215 data_time: 0.0373 memory: 18104 grad_norm: 7.6370 loss: 2.2077 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.2491 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 0.9586 2023/02/03 10:00:16 - mmengine - INFO - Epoch(train) [250][ 540/1879] lr: 2.2545e-04 eta: 1:48:22 time: 0.5188 data_time: 0.0303 memory: 18104 grad_norm: 7.5860 loss: 1.8429 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 0.9837 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 0.8592 2023/02/03 10:00:27 - mmengine - INFO - Epoch(train) [250][ 560/1879] lr: 2.2474e-04 eta: 1:48:12 time: 0.5189 data_time: 0.0369 memory: 18104 grad_norm: 7.6594 loss: 2.0628 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.0735 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 0.9893 2023/02/03 10:00:37 - mmengine - INFO - Epoch(train) [250][ 580/1879] lr: 2.2403e-04 eta: 1:48:01 time: 0.5065 data_time: 0.0287 memory: 18104 grad_norm: 7.4042 loss: 1.9026 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 0.9877 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 0.9149 2023/02/03 10:00:47 - mmengine - INFO - Epoch(train) [250][ 600/1879] lr: 2.2332e-04 eta: 1:47:51 time: 0.5374 data_time: 0.0453 memory: 18104 grad_norm: 7.6271 loss: 2.0331 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.0899 top1_acc_1: 0.8118 top5_acc_1: 0.9176 loss_cls_1: 0.9432 2023/02/03 10:00:58 - mmengine - INFO - Epoch(train) [250][ 620/1879] lr: 2.2261e-04 eta: 1:47:41 time: 0.5221 data_time: 0.0309 memory: 18104 grad_norm: 7.5282 loss: 1.8061 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 0.9234 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.8827 2023/02/03 10:01:08 - mmengine - INFO - Epoch(train) [250][ 640/1879] lr: 2.2190e-04 eta: 1:47:30 time: 0.5164 data_time: 0.0390 memory: 18104 grad_norm: 7.7315 loss: 1.9741 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.1194 top1_acc_1: 0.8118 top5_acc_1: 0.9647 loss_cls_1: 0.8547 2023/02/03 10:01:19 - mmengine - INFO - Epoch(train) [250][ 660/1879] lr: 2.2119e-04 eta: 1:47:20 time: 0.5134 data_time: 0.0300 memory: 18104 grad_norm: 7.7832 loss: 2.0917 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1617 top1_acc_1: 0.8000 top5_acc_1: 0.8824 loss_cls_1: 0.9300 2023/02/03 10:01:29 - mmengine - INFO - Epoch(train) [250][ 680/1879] lr: 2.2048e-04 eta: 1:47:10 time: 0.5087 data_time: 0.0373 memory: 18104 grad_norm: 7.6208 loss: 2.0879 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1328 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9550 2023/02/03 10:01:39 - mmengine - INFO - Epoch(train) [250][ 700/1879] lr: 2.1978e-04 eta: 1:47:00 time: 0.5021 data_time: 0.0359 memory: 18104 grad_norm: 7.8565 loss: 1.9917 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0775 top1_acc_1: 0.9059 top5_acc_1: 0.9765 loss_cls_1: 0.9141 2023/02/03 10:01:49 - mmengine - INFO - Epoch(train) [250][ 720/1879] lr: 2.1907e-04 eta: 1:46:49 time: 0.4980 data_time: 0.0316 memory: 18104 grad_norm: 7.4719 loss: 1.8231 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 0.9021 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9210 2023/02/03 10:01:59 - mmengine - INFO - Epoch(train) [250][ 740/1879] lr: 2.1837e-04 eta: 1:46:39 time: 0.5146 data_time: 0.0338 memory: 18104 grad_norm: 7.7208 loss: 2.0002 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0808 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9193 2023/02/03 10:02:09 - mmengine - INFO - Epoch(train) [250][ 760/1879] lr: 2.1766e-04 eta: 1:46:29 time: 0.5047 data_time: 0.0333 memory: 18104 grad_norm: 7.6518 loss: 2.0671 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.1453 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 0.9218 2023/02/03 10:02:19 - mmengine - INFO - Epoch(train) [250][ 780/1879] lr: 2.1696e-04 eta: 1:46:18 time: 0.5051 data_time: 0.0355 memory: 18104 grad_norm: 7.6651 loss: 1.9869 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0490 top1_acc_1: 0.8235 top5_acc_1: 0.9059 loss_cls_1: 0.9379 2023/02/03 10:02:30 - mmengine - INFO - Epoch(train) [250][ 800/1879] lr: 2.1626e-04 eta: 1:46:08 time: 0.5072 data_time: 0.0313 memory: 18104 grad_norm: 7.5241 loss: 2.0088 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.0626 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.9462 2023/02/03 10:02:40 - mmengine - INFO - Epoch(train) [250][ 820/1879] lr: 2.1556e-04 eta: 1:45:58 time: 0.5039 data_time: 0.0352 memory: 18104 grad_norm: 7.7012 loss: 1.8939 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 0.9738 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.9201 2023/02/03 10:02:50 - mmengine - INFO - Epoch(train) [250][ 840/1879] lr: 2.1487e-04 eta: 1:45:47 time: 0.5043 data_time: 0.0332 memory: 18104 grad_norm: 7.6910 loss: 2.0419 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1646 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 0.8773 2023/02/03 10:03:00 - mmengine - INFO - Epoch(train) [250][ 860/1879] lr: 2.1417e-04 eta: 1:45:37 time: 0.4999 data_time: 0.0347 memory: 18104 grad_norm: 7.6770 loss: 1.8459 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 0.9355 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9104 2023/02/03 10:03:10 - mmengine - INFO - Epoch(train) [250][ 880/1879] lr: 2.1347e-04 eta: 1:45:27 time: 0.5166 data_time: 0.0388 memory: 18104 grad_norm: 7.5789 loss: 2.0869 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1669 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9201 2023/02/03 10:03:20 - mmengine - INFO - Epoch(train) [250][ 900/1879] lr: 2.1278e-04 eta: 1:45:16 time: 0.5118 data_time: 0.0372 memory: 18104 grad_norm: 7.7154 loss: 1.8996 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.0716 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.8280 2023/02/03 10:03:31 - mmengine - INFO - Epoch(train) [250][ 920/1879] lr: 2.1208e-04 eta: 1:45:06 time: 0.5040 data_time: 0.0328 memory: 18104 grad_norm: 7.8035 loss: 2.0315 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.0958 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9357 2023/02/03 10:03:41 - mmengine - INFO - Epoch(train) [250][ 940/1879] lr: 2.1139e-04 eta: 1:44:56 time: 0.5126 data_time: 0.0372 memory: 18104 grad_norm: 7.6505 loss: 1.8023 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 0.9210 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.8812 2023/02/03 10:03:51 - mmengine - INFO - Epoch(train) [250][ 960/1879] lr: 2.1070e-04 eta: 1:44:45 time: 0.5109 data_time: 0.0426 memory: 18104 grad_norm: 7.6735 loss: 1.8643 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0699 top1_acc_1: 0.8471 top5_acc_1: 0.9647 loss_cls_1: 0.7943 2023/02/03 10:04:01 - mmengine - INFO - Epoch(train) [250][ 980/1879] lr: 2.1001e-04 eta: 1:44:35 time: 0.5028 data_time: 0.0386 memory: 18104 grad_norm: 7.7687 loss: 2.1611 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2633 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.8978 2023/02/03 10:04:12 - mmengine - INFO - Epoch(train) [250][1000/1879] lr: 2.0932e-04 eta: 1:44:25 time: 0.5190 data_time: 0.0344 memory: 18104 grad_norm: 7.7016 loss: 2.1167 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1853 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9314 2023/02/03 10:04:22 - mmengine - INFO - Epoch(train) [250][1020/1879] lr: 2.0863e-04 eta: 1:44:14 time: 0.5076 data_time: 0.0418 memory: 18104 grad_norm: 7.8843 loss: 2.1572 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.1423 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 1.0149 2023/02/03 10:04:32 - mmengine - INFO - Epoch(train) [250][1040/1879] lr: 2.0795e-04 eta: 1:44:04 time: 0.5064 data_time: 0.0325 memory: 18104 grad_norm: 7.5578 loss: 2.0496 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.1268 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9227 2023/02/03 10:04:42 - mmengine - INFO - Epoch(train) [250][1060/1879] lr: 2.0726e-04 eta: 1:43:54 time: 0.4950 data_time: 0.0360 memory: 18104 grad_norm: 7.7918 loss: 2.0584 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1367 top1_acc_1: 0.8000 top5_acc_1: 0.8941 loss_cls_1: 0.9216 2023/02/03 10:04:52 - mmengine - INFO - Epoch(train) [250][1080/1879] lr: 2.0658e-04 eta: 1:43:43 time: 0.5169 data_time: 0.0324 memory: 18104 grad_norm: 7.5644 loss: 2.0667 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1869 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 0.8798 2023/02/03 10:05:02 - mmengine - INFO - Epoch(train) [250][1100/1879] lr: 2.0589e-04 eta: 1:43:33 time: 0.5077 data_time: 0.0407 memory: 18104 grad_norm: 7.6716 loss: 1.9727 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0424 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 0.9303 2023/02/03 10:05:12 - mmengine - INFO - Epoch(train) [250][1120/1879] lr: 2.0521e-04 eta: 1:43:23 time: 0.5048 data_time: 0.0320 memory: 18104 grad_norm: 7.7002 loss: 2.1770 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2129 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 0.9641 2023/02/03 10:05:17 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 10:05:22 - mmengine - INFO - Epoch(train) [250][1140/1879] lr: 2.0453e-04 eta: 1:43:12 time: 0.5008 data_time: 0.0380 memory: 18104 grad_norm: 7.4476 loss: 1.8634 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0105 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 0.8528 2023/02/03 10:05:33 - mmengine - INFO - Epoch(train) [250][1160/1879] lr: 2.0385e-04 eta: 1:43:02 time: 0.5191 data_time: 0.0383 memory: 18104 grad_norm: 7.6008 loss: 2.0260 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1050 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9209 2023/02/03 10:05:43 - mmengine - INFO - Epoch(train) [250][1180/1879] lr: 2.0317e-04 eta: 1:42:52 time: 0.5000 data_time: 0.0352 memory: 18104 grad_norm: 7.4703 loss: 2.0138 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.0867 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 0.9271 2023/02/03 10:05:53 - mmengine - INFO - Epoch(train) [250][1200/1879] lr: 2.0249e-04 eta: 1:42:41 time: 0.5026 data_time: 0.0320 memory: 18104 grad_norm: 7.4098 loss: 1.8971 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 0.9746 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.9226 2023/02/03 10:06:04 - mmengine - INFO - Epoch(train) [250][1220/1879] lr: 2.0182e-04 eta: 1:42:31 time: 0.5361 data_time: 0.0365 memory: 18104 grad_norm: 7.6059 loss: 2.0795 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.1387 top1_acc_1: 0.8588 top5_acc_1: 0.9176 loss_cls_1: 0.9408 2023/02/03 10:06:14 - mmengine - INFO - Epoch(train) [250][1240/1879] lr: 2.0114e-04 eta: 1:42:21 time: 0.5125 data_time: 0.0393 memory: 18104 grad_norm: 7.7348 loss: 2.0785 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1751 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 0.9034 2023/02/03 10:06:24 - mmengine - INFO - Epoch(train) [250][1260/1879] lr: 2.0047e-04 eta: 1:42:10 time: 0.5043 data_time: 0.0371 memory: 18104 grad_norm: 7.7443 loss: 2.0349 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1236 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 0.9113 2023/02/03 10:06:34 - mmengine - INFO - Epoch(train) [250][1280/1879] lr: 1.9980e-04 eta: 1:42:00 time: 0.5087 data_time: 0.0324 memory: 18104 grad_norm: 7.6138 loss: 2.1746 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2795 top1_acc_1: 0.8235 top5_acc_1: 0.9765 loss_cls_1: 0.8951 2023/02/03 10:06:45 - mmengine - INFO - Epoch(train) [250][1300/1879] lr: 1.9912e-04 eta: 1:41:50 time: 0.5206 data_time: 0.0402 memory: 18104 grad_norm: 7.5873 loss: 1.9501 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0296 top1_acc_1: 0.7765 top5_acc_1: 0.8824 loss_cls_1: 0.9205 2023/02/03 10:06:55 - mmengine - INFO - Epoch(train) [250][1320/1879] lr: 1.9845e-04 eta: 1:41:40 time: 0.5014 data_time: 0.0319 memory: 18104 grad_norm: 7.7450 loss: 1.8770 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.0286 top1_acc_1: 0.8235 top5_acc_1: 0.9647 loss_cls_1: 0.8484 2023/02/03 10:07:05 - mmengine - INFO - Epoch(train) [250][1340/1879] lr: 1.9778e-04 eta: 1:41:29 time: 0.4935 data_time: 0.0368 memory: 18104 grad_norm: 7.5400 loss: 2.0460 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.1155 top1_acc_1: 0.8353 top5_acc_1: 0.9176 loss_cls_1: 0.9306 2023/02/03 10:07:15 - mmengine - INFO - Epoch(train) [250][1360/1879] lr: 1.9711e-04 eta: 1:41:19 time: 0.5127 data_time: 0.0328 memory: 18104 grad_norm: 7.5659 loss: 1.9805 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.0623 top1_acc_1: 0.7412 top5_acc_1: 0.9059 loss_cls_1: 0.9181 2023/02/03 10:07:25 - mmengine - INFO - Epoch(train) [250][1380/1879] lr: 1.9645e-04 eta: 1:41:09 time: 0.5066 data_time: 0.0441 memory: 18104 grad_norm: 7.5585 loss: 2.1499 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.2488 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 0.9011 2023/02/03 10:07:35 - mmengine - INFO - Epoch(train) [250][1400/1879] lr: 1.9578e-04 eta: 1:40:58 time: 0.5017 data_time: 0.0319 memory: 18104 grad_norm: 7.8893 loss: 1.9517 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0366 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 0.9151 2023/02/03 10:07:46 - mmengine - INFO - Epoch(train) [250][1420/1879] lr: 1.9511e-04 eta: 1:40:48 time: 0.5200 data_time: 0.0381 memory: 18104 grad_norm: 7.6731 loss: 1.9994 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0633 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9361 2023/02/03 10:07:56 - mmengine - INFO - Epoch(train) [250][1440/1879] lr: 1.9445e-04 eta: 1:40:38 time: 0.5058 data_time: 0.0403 memory: 18104 grad_norm: 7.7863 loss: 2.0288 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.2190 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.8099 2023/02/03 10:08:06 - mmengine - INFO - Epoch(train) [250][1460/1879] lr: 1.9379e-04 eta: 1:40:27 time: 0.5098 data_time: 0.0354 memory: 18104 grad_norm: 7.6591 loss: 1.8401 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 0.9633 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.8768 2023/02/03 10:08:16 - mmengine - INFO - Epoch(train) [250][1480/1879] lr: 1.9313e-04 eta: 1:40:17 time: 0.5118 data_time: 0.0339 memory: 18104 grad_norm: 7.8947 loss: 1.9762 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.0518 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.9244 2023/02/03 10:08:27 - mmengine - INFO - Epoch(train) [250][1500/1879] lr: 1.9246e-04 eta: 1:40:07 time: 0.5206 data_time: 0.0462 memory: 18104 grad_norm: 7.5764 loss: 1.9953 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0246 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9706 2023/02/03 10:08:37 - mmengine - INFO - Epoch(train) [250][1520/1879] lr: 1.9181e-04 eta: 1:39:56 time: 0.5025 data_time: 0.0328 memory: 18104 grad_norm: 7.8970 loss: 1.9674 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1301 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.8372 2023/02/03 10:08:47 - mmengine - INFO - Epoch(train) [250][1540/1879] lr: 1.9115e-04 eta: 1:39:46 time: 0.5244 data_time: 0.0351 memory: 18104 grad_norm: 7.5262 loss: 1.8251 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 0.9001 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.9250 2023/02/03 10:08:58 - mmengine - INFO - Epoch(train) [250][1560/1879] lr: 1.9049e-04 eta: 1:39:36 time: 0.5166 data_time: 0.0320 memory: 18104 grad_norm: 7.7719 loss: 1.9708 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.0489 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.9219 2023/02/03 10:09:08 - mmengine - INFO - Epoch(train) [250][1580/1879] lr: 1.8983e-04 eta: 1:39:25 time: 0.5201 data_time: 0.0426 memory: 18104 grad_norm: 7.6872 loss: 1.9328 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.0712 top1_acc_1: 0.8471 top5_acc_1: 0.9412 loss_cls_1: 0.8616 2023/02/03 10:09:18 - mmengine - INFO - Epoch(train) [250][1600/1879] lr: 1.8918e-04 eta: 1:39:15 time: 0.5018 data_time: 0.0314 memory: 18104 grad_norm: 7.6906 loss: 1.8710 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 0.9956 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.8754 2023/02/03 10:09:29 - mmengine - INFO - Epoch(train) [250][1620/1879] lr: 1.8852e-04 eta: 1:39:05 time: 0.5415 data_time: 0.0334 memory: 18104 grad_norm: 7.4998 loss: 1.7808 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 0.8959 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.8849 2023/02/03 10:09:39 - mmengine - INFO - Epoch(train) [250][1640/1879] lr: 1.8787e-04 eta: 1:38:54 time: 0.5147 data_time: 0.0334 memory: 18104 grad_norm: 8.0504 loss: 2.0523 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.1412 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.9111 2023/02/03 10:09:50 - mmengine - INFO - Epoch(train) [250][1660/1879] lr: 1.8722e-04 eta: 1:38:44 time: 0.5351 data_time: 0.0424 memory: 18104 grad_norm: 7.6416 loss: 1.8759 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 0.9596 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9164 2023/02/03 10:10:01 - mmengine - INFO - Epoch(train) [250][1680/1879] lr: 1.8657e-04 eta: 1:38:34 time: 0.5368 data_time: 0.0320 memory: 18104 grad_norm: 7.7555 loss: 1.9773 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0632 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9140 2023/02/03 10:10:11 - mmengine - INFO - Epoch(train) [250][1700/1879] lr: 1.8592e-04 eta: 1:38:24 time: 0.5361 data_time: 0.0359 memory: 18104 grad_norm: 7.6532 loss: 1.8069 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.0025 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.8044 2023/02/03 10:10:22 - mmengine - INFO - Epoch(train) [250][1720/1879] lr: 1.8527e-04 eta: 1:38:13 time: 0.5097 data_time: 0.0368 memory: 18104 grad_norm: 7.8036 loss: 2.0054 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.1090 top1_acc_1: 0.8000 top5_acc_1: 0.8941 loss_cls_1: 0.8964 2023/02/03 10:10:32 - mmengine - INFO - Epoch(train) [250][1740/1879] lr: 1.8462e-04 eta: 1:38:03 time: 0.5372 data_time: 0.0365 memory: 18104 grad_norm: 7.7930 loss: 2.0358 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.1464 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.8893 2023/02/03 10:10:43 - mmengine - INFO - Epoch(train) [250][1760/1879] lr: 1.8398e-04 eta: 1:37:53 time: 0.5188 data_time: 0.0305 memory: 18104 grad_norm: 7.6060 loss: 1.9169 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0199 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.8971 2023/02/03 10:10:53 - mmengine - INFO - Epoch(train) [250][1780/1879] lr: 1.8333e-04 eta: 1:37:42 time: 0.5165 data_time: 0.0347 memory: 18104 grad_norm: 7.6470 loss: 2.0704 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1777 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 0.8927 2023/02/03 10:11:03 - mmengine - INFO - Epoch(train) [250][1800/1879] lr: 1.8269e-04 eta: 1:37:32 time: 0.5045 data_time: 0.0313 memory: 18104 grad_norm: 7.8795 loss: 1.9707 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1174 top1_acc_1: 0.8588 top5_acc_1: 0.9647 loss_cls_1: 0.8533 2023/02/03 10:11:14 - mmengine - INFO - Epoch(train) [250][1820/1879] lr: 1.8205e-04 eta: 1:37:22 time: 0.5226 data_time: 0.0356 memory: 18104 grad_norm: 7.6950 loss: 1.9273 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0898 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.8375 2023/02/03 10:11:24 - mmengine - INFO - Epoch(train) [250][1840/1879] lr: 1.8141e-04 eta: 1:37:12 time: 0.5242 data_time: 0.0412 memory: 18104 grad_norm: 7.3437 loss: 1.9006 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0043 top1_acc_1: 0.7882 top5_acc_1: 0.8824 loss_cls_1: 0.8963 2023/02/03 10:11:35 - mmengine - INFO - Epoch(train) [250][1860/1879] lr: 1.8076e-04 eta: 1:37:01 time: 0.5130 data_time: 0.0282 memory: 18104 grad_norm: 7.6241 loss: 1.9166 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.0101 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.9065 2023/02/03 10:11:44 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 10:11:44 - mmengine - INFO - Epoch(train) [250][1879/1879] lr: 1.8016e-04 eta: 1:36:51 time: 0.5047 data_time: 0.0341 memory: 18104 grad_norm: 7.8280 loss: 2.0385 top1_acc_0: 0.7143 top5_acc_0: 0.8571 loss_cls_0: 1.1981 top1_acc_1: 0.8824 top5_acc_1: 0.9294 loss_cls_1: 0.8405 2023/02/03 10:11:59 - mmengine - INFO - Epoch(train) [251][ 20/1879] lr: 1.7952e-04 eta: 1:36:41 time: 0.7219 data_time: 0.2552 memory: 18104 grad_norm: 7.6481 loss: 2.1274 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2395 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.8879 2023/02/03 10:12:09 - mmengine - INFO - Epoch(train) [251][ 40/1879] lr: 1.7888e-04 eta: 1:36:31 time: 0.4733 data_time: 0.0337 memory: 18104 grad_norm: 7.5271 loss: 2.0800 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.1690 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 0.9110 2023/02/03 10:12:18 - mmengine - INFO - Epoch(train) [251][ 60/1879] lr: 1.7825e-04 eta: 1:36:21 time: 0.4788 data_time: 0.0376 memory: 18104 grad_norm: 7.7339 loss: 1.8222 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 0.9428 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.8795 2023/02/03 10:12:29 - mmengine - INFO - Epoch(train) [251][ 80/1879] lr: 1.7761e-04 eta: 1:36:10 time: 0.5217 data_time: 0.0412 memory: 18104 grad_norm: 7.5524 loss: 1.8412 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 0.9040 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9372 2023/02/03 10:12:39 - mmengine - INFO - Epoch(train) [251][ 100/1879] lr: 1.7698e-04 eta: 1:36:00 time: 0.4828 data_time: 0.0359 memory: 18104 grad_norm: 7.5064 loss: 1.9290 top1_acc_0: 0.6250 top5_acc_0: 1.0000 loss_cls_0: 1.0524 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.8766 2023/02/03 10:12:48 - mmengine - INFO - Epoch(train) [251][ 120/1879] lr: 1.7635e-04 eta: 1:35:50 time: 0.4792 data_time: 0.0352 memory: 18104 grad_norm: 7.6667 loss: 1.9417 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.0938 top1_acc_1: 0.8353 top5_acc_1: 0.9176 loss_cls_1: 0.8478 2023/02/03 10:12:58 - mmengine - INFO - Epoch(train) [251][ 140/1879] lr: 1.7571e-04 eta: 1:35:39 time: 0.5051 data_time: 0.0431 memory: 18104 grad_norm: 7.5755 loss: 1.9159 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 0.9256 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.9903 2023/02/03 10:13:08 - mmengine - INFO - Epoch(train) [251][ 160/1879] lr: 1.7508e-04 eta: 1:35:29 time: 0.4954 data_time: 0.0349 memory: 18104 grad_norm: 7.5785 loss: 2.1515 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.2950 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.8564 2023/02/03 10:13:18 - mmengine - INFO - Epoch(train) [251][ 180/1879] lr: 1.7445e-04 eta: 1:35:19 time: 0.4922 data_time: 0.0369 memory: 18104 grad_norm: 7.6724 loss: 1.9655 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.0286 top1_acc_1: 0.8353 top5_acc_1: 0.9647 loss_cls_1: 0.9369 2023/02/03 10:13:28 - mmengine - INFO - Epoch(train) [251][ 200/1879] lr: 1.7383e-04 eta: 1:35:08 time: 0.4947 data_time: 0.0327 memory: 18104 grad_norm: 7.6928 loss: 2.0849 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1686 top1_acc_1: 0.8000 top5_acc_1: 0.8941 loss_cls_1: 0.9163 2023/02/03 10:13:38 - mmengine - INFO - Epoch(train) [251][ 220/1879] lr: 1.7320e-04 eta: 1:34:58 time: 0.5150 data_time: 0.0358 memory: 18104 grad_norm: 7.8217 loss: 1.8844 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 0.9811 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9033 2023/02/03 10:13:48 - mmengine - INFO - Epoch(train) [251][ 240/1879] lr: 1.7257e-04 eta: 1:34:48 time: 0.4938 data_time: 0.0432 memory: 18104 grad_norm: 7.7016 loss: 2.0074 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1602 top1_acc_1: 0.8353 top5_acc_1: 0.9176 loss_cls_1: 0.8472 2023/02/03 10:13:53 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 10:13:58 - mmengine - INFO - Epoch(train) [251][ 260/1879] lr: 1.7195e-04 eta: 1:34:37 time: 0.4869 data_time: 0.0358 memory: 18104 grad_norm: 7.6452 loss: 1.9521 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0773 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.8748 2023/02/03 10:14:08 - mmengine - INFO - Epoch(train) [251][ 280/1879] lr: 1.7133e-04 eta: 1:34:27 time: 0.4906 data_time: 0.0342 memory: 18104 grad_norm: 7.5110 loss: 2.0599 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1520 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9079 2023/02/03 10:14:18 - mmengine - INFO - Epoch(train) [251][ 300/1879] lr: 1.7070e-04 eta: 1:34:17 time: 0.5100 data_time: 0.0360 memory: 18104 grad_norm: 7.5588 loss: 1.8071 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 0.9357 top1_acc_1: 0.8471 top5_acc_1: 0.9882 loss_cls_1: 0.8714 2023/02/03 10:14:28 - mmengine - INFO - Epoch(train) [251][ 320/1879] lr: 1.7008e-04 eta: 1:34:06 time: 0.4894 data_time: 0.0329 memory: 18104 grad_norm: 7.7977 loss: 2.0101 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.0942 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9159 2023/02/03 10:14:38 - mmengine - INFO - Epoch(train) [251][ 340/1879] lr: 1.6946e-04 eta: 1:33:56 time: 0.4956 data_time: 0.0358 memory: 18104 grad_norm: 7.7952 loss: 2.0214 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1616 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.8598 2023/02/03 10:14:48 - mmengine - INFO - Epoch(train) [251][ 360/1879] lr: 1.6884e-04 eta: 1:33:46 time: 0.5034 data_time: 0.0344 memory: 18104 grad_norm: 7.4532 loss: 2.0045 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1266 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 0.8779 2023/02/03 10:14:58 - mmengine - INFO - Epoch(train) [251][ 380/1879] lr: 1.6823e-04 eta: 1:33:35 time: 0.4981 data_time: 0.0364 memory: 18104 grad_norm: 7.7775 loss: 1.9800 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0536 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.9264 2023/02/03 10:15:08 - mmengine - INFO - Epoch(train) [251][ 400/1879] lr: 1.6761e-04 eta: 1:33:25 time: 0.4969 data_time: 0.0353 memory: 18104 grad_norm: 7.4532 loss: 1.9749 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.0772 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 0.8977 2023/02/03 10:15:18 - mmengine - INFO - Epoch(train) [251][ 420/1879] lr: 1.6699e-04 eta: 1:33:15 time: 0.4862 data_time: 0.0343 memory: 18104 grad_norm: 7.7527 loss: 1.9526 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0647 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 0.8879 2023/02/03 10:15:28 - mmengine - INFO - Epoch(train) [251][ 440/1879] lr: 1.6638e-04 eta: 1:33:04 time: 0.5260 data_time: 0.0393 memory: 18104 grad_norm: 7.7940 loss: 2.3475 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.3833 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9641 2023/02/03 10:15:38 - mmengine - INFO - Epoch(train) [251][ 460/1879] lr: 1.6577e-04 eta: 1:32:54 time: 0.4944 data_time: 0.0347 memory: 18104 grad_norm: 7.7017 loss: 2.0471 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.0791 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 0.9680 2023/02/03 10:15:48 - mmengine - INFO - Epoch(train) [251][ 480/1879] lr: 1.6515e-04 eta: 1:32:44 time: 0.4941 data_time: 0.0331 memory: 18104 grad_norm: 7.5469 loss: 1.9383 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0924 top1_acc_1: 0.7765 top5_acc_1: 0.9647 loss_cls_1: 0.8459 2023/02/03 10:15:58 - mmengine - INFO - Epoch(train) [251][ 500/1879] lr: 1.6454e-04 eta: 1:32:33 time: 0.4954 data_time: 0.0344 memory: 18104 grad_norm: 7.6545 loss: 2.0583 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.1596 top1_acc_1: 0.7176 top5_acc_1: 0.8471 loss_cls_1: 0.8987 2023/02/03 10:16:08 - mmengine - INFO - Epoch(train) [251][ 520/1879] lr: 1.6393e-04 eta: 1:32:23 time: 0.5059 data_time: 0.0408 memory: 18104 grad_norm: 7.5422 loss: 2.2089 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.3142 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.8947 2023/02/03 10:16:18 - mmengine - INFO - Epoch(train) [251][ 540/1879] lr: 1.6332e-04 eta: 1:32:13 time: 0.4976 data_time: 0.0357 memory: 18104 grad_norm: 7.7982 loss: 2.0265 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1590 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 0.8675 2023/02/03 10:16:28 - mmengine - INFO - Epoch(train) [251][ 560/1879] lr: 1.6272e-04 eta: 1:32:02 time: 0.4957 data_time: 0.0327 memory: 18104 grad_norm: 7.6565 loss: 2.2060 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.2899 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9162 2023/02/03 10:16:38 - mmengine - INFO - Epoch(train) [251][ 580/1879] lr: 1.6211e-04 eta: 1:31:52 time: 0.5045 data_time: 0.0341 memory: 18104 grad_norm: 7.8508 loss: 2.1469 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2036 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 0.9433 2023/02/03 10:16:48 - mmengine - INFO - Epoch(train) [251][ 600/1879] lr: 1.6150e-04 eta: 1:31:42 time: 0.5007 data_time: 0.0333 memory: 18104 grad_norm: 7.6149 loss: 1.9039 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 0.9993 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9046 2023/02/03 10:16:58 - mmengine - INFO - Epoch(train) [251][ 620/1879] lr: 1.6090e-04 eta: 1:31:31 time: 0.4984 data_time: 0.0361 memory: 18104 grad_norm: 7.5672 loss: 2.0553 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1215 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9338 2023/02/03 10:17:08 - mmengine - INFO - Epoch(train) [251][ 640/1879] lr: 1.6030e-04 eta: 1:31:21 time: 0.4959 data_time: 0.0323 memory: 18104 grad_norm: 7.7031 loss: 1.8666 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 0.9821 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.8845 2023/02/03 10:17:18 - mmengine - INFO - Epoch(train) [251][ 660/1879] lr: 1.5969e-04 eta: 1:31:11 time: 0.5099 data_time: 0.0423 memory: 18104 grad_norm: 7.7632 loss: 2.0116 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1431 top1_acc_1: 0.8353 top5_acc_1: 0.8941 loss_cls_1: 0.8686 2023/02/03 10:17:28 - mmengine - INFO - Epoch(train) [251][ 680/1879] lr: 1.5909e-04 eta: 1:31:00 time: 0.4978 data_time: 0.0325 memory: 18104 grad_norm: 7.3994 loss: 1.9274 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.0351 top1_acc_1: 0.8000 top5_acc_1: 0.8824 loss_cls_1: 0.8922 2023/02/03 10:17:38 - mmengine - INFO - Epoch(train) [251][ 700/1879] lr: 1.5849e-04 eta: 1:30:50 time: 0.5050 data_time: 0.0334 memory: 18104 grad_norm: 7.6183 loss: 2.1138 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2164 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.8974 2023/02/03 10:17:48 - mmengine - INFO - Epoch(train) [251][ 720/1879] lr: 1.5789e-04 eta: 1:30:40 time: 0.4969 data_time: 0.0407 memory: 18104 grad_norm: 7.5850 loss: 2.0376 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0954 top1_acc_1: 0.8000 top5_acc_1: 0.8824 loss_cls_1: 0.9422 2023/02/03 10:17:59 - mmengine - INFO - Epoch(train) [251][ 740/1879] lr: 1.5730e-04 eta: 1:30:29 time: 0.5054 data_time: 0.0344 memory: 18104 grad_norm: 7.6931 loss: 1.8923 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.0543 top1_acc_1: 0.8471 top5_acc_1: 0.9412 loss_cls_1: 0.8379 2023/02/03 10:18:08 - mmengine - INFO - Epoch(train) [251][ 760/1879] lr: 1.5670e-04 eta: 1:30:19 time: 0.4929 data_time: 0.0340 memory: 18104 grad_norm: 7.4848 loss: 2.0079 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1293 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.8786 2023/02/03 10:18:18 - mmengine - INFO - Epoch(train) [251][ 780/1879] lr: 1.5611e-04 eta: 1:30:09 time: 0.4982 data_time: 0.0349 memory: 18104 grad_norm: 7.6724 loss: 1.9424 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.0580 top1_acc_1: 0.8353 top5_acc_1: 0.9059 loss_cls_1: 0.8844 2023/02/03 10:18:28 - mmengine - INFO - Epoch(train) [251][ 800/1879] lr: 1.5551e-04 eta: 1:29:58 time: 0.4922 data_time: 0.0380 memory: 18104 grad_norm: 8.0313 loss: 1.8486 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 0.9569 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.8917 2023/02/03 10:18:39 - mmengine - INFO - Epoch(train) [251][ 820/1879] lr: 1.5492e-04 eta: 1:29:48 time: 0.5099 data_time: 0.0344 memory: 18104 grad_norm: 7.5169 loss: 1.9609 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.0837 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.8772 2023/02/03 10:18:49 - mmengine - INFO - Epoch(train) [251][ 840/1879] lr: 1.5433e-04 eta: 1:29:38 time: 0.5031 data_time: 0.0353 memory: 18104 grad_norm: 7.6180 loss: 2.0331 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0879 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 0.9452 2023/02/03 10:18:58 - mmengine - INFO - Epoch(train) [251][ 860/1879] lr: 1.5374e-04 eta: 1:29:27 time: 0.4892 data_time: 0.0346 memory: 18104 grad_norm: 7.8651 loss: 2.1325 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2334 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.8992 2023/02/03 10:19:08 - mmengine - INFO - Epoch(train) [251][ 880/1879] lr: 1.5315e-04 eta: 1:29:17 time: 0.4961 data_time: 0.0352 memory: 18104 grad_norm: 7.3845 loss: 1.8854 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 0.9720 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9134 2023/02/03 10:19:19 - mmengine - INFO - Epoch(train) [251][ 900/1879] lr: 1.5256e-04 eta: 1:29:07 time: 0.5166 data_time: 0.0342 memory: 18104 grad_norm: 7.7627 loss: 1.8399 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 0.9681 top1_acc_1: 0.7176 top5_acc_1: 0.9294 loss_cls_1: 0.8718 2023/02/03 10:19:28 - mmengine - INFO - Epoch(train) [251][ 920/1879] lr: 1.5197e-04 eta: 1:28:56 time: 0.4877 data_time: 0.0325 memory: 18104 grad_norm: 7.6763 loss: 2.1111 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2261 top1_acc_1: 0.8118 top5_acc_1: 0.9647 loss_cls_1: 0.8850 2023/02/03 10:19:38 - mmengine - INFO - Epoch(train) [251][ 940/1879] lr: 1.5138e-04 eta: 1:28:46 time: 0.4927 data_time: 0.0413 memory: 18104 grad_norm: 7.6097 loss: 1.9486 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 0.9701 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 0.9785 2023/02/03 10:19:48 - mmengine - INFO - Epoch(train) [251][ 960/1879] lr: 1.5080e-04 eta: 1:28:36 time: 0.5056 data_time: 0.0333 memory: 18104 grad_norm: 7.6362 loss: 1.9407 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.0532 top1_acc_1: 0.7294 top5_acc_1: 0.8588 loss_cls_1: 0.8875 2023/02/03 10:19:58 - mmengine - INFO - Epoch(train) [251][ 980/1879] lr: 1.5022e-04 eta: 1:28:25 time: 0.4980 data_time: 0.0342 memory: 18104 grad_norm: 7.3979 loss: 1.9644 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.0852 top1_acc_1: 0.8941 top5_acc_1: 0.9647 loss_cls_1: 0.8792 2023/02/03 10:20:09 - mmengine - INFO - Epoch(train) [251][1000/1879] lr: 1.4963e-04 eta: 1:28:15 time: 0.5073 data_time: 0.0394 memory: 18104 grad_norm: 7.4842 loss: 1.9620 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0489 top1_acc_1: 0.6824 top5_acc_1: 0.8706 loss_cls_1: 0.9131 2023/02/03 10:20:19 - mmengine - INFO - Epoch(train) [251][1020/1879] lr: 1.4905e-04 eta: 1:28:05 time: 0.5088 data_time: 0.0367 memory: 18104 grad_norm: 7.7215 loss: 1.9951 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.1196 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.8755 2023/02/03 10:20:29 - mmengine - INFO - Epoch(train) [251][1040/1879] lr: 1.4847e-04 eta: 1:27:54 time: 0.5188 data_time: 0.0341 memory: 18104 grad_norm: 7.5619 loss: 1.8749 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 0.9518 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.9231 2023/02/03 10:20:39 - mmengine - INFO - Epoch(train) [251][1060/1879] lr: 1.4789e-04 eta: 1:27:44 time: 0.5070 data_time: 0.0342 memory: 18104 grad_norm: 7.5830 loss: 1.8882 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0372 top1_acc_1: 0.8235 top5_acc_1: 0.9059 loss_cls_1: 0.8510 2023/02/03 10:20:50 - mmengine - INFO - Epoch(train) [251][1080/1879] lr: 1.4731e-04 eta: 1:27:34 time: 0.5117 data_time: 0.0347 memory: 18104 grad_norm: 7.5821 loss: 1.9334 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.0216 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 0.9118 2023/02/03 10:21:00 - mmengine - INFO - Epoch(train) [251][1100/1879] lr: 1.4674e-04 eta: 1:27:23 time: 0.5175 data_time: 0.0390 memory: 18104 grad_norm: 7.7322 loss: 2.0303 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1596 top1_acc_1: 0.8941 top5_acc_1: 0.9647 loss_cls_1: 0.8707 2023/02/03 10:21:10 - mmengine - INFO - Epoch(train) [251][1120/1879] lr: 1.4616e-04 eta: 1:27:13 time: 0.5134 data_time: 0.0315 memory: 18104 grad_norm: 7.5940 loss: 2.1354 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.2251 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9103 2023/02/03 10:21:20 - mmengine - INFO - Epoch(train) [251][1140/1879] lr: 1.4559e-04 eta: 1:27:03 time: 0.4948 data_time: 0.0352 memory: 18104 grad_norm: 7.6678 loss: 1.8859 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 0.9802 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9058 2023/02/03 10:21:31 - mmengine - INFO - Epoch(train) [251][1160/1879] lr: 1.4501e-04 eta: 1:26:52 time: 0.5179 data_time: 0.0328 memory: 18104 grad_norm: 7.7627 loss: 2.0442 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.1046 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.9396 2023/02/03 10:21:41 - mmengine - INFO - Epoch(train) [251][1180/1879] lr: 1.4444e-04 eta: 1:26:42 time: 0.5050 data_time: 0.0362 memory: 18104 grad_norm: 7.5528 loss: 1.9785 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0723 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 0.9062 2023/02/03 10:21:51 - mmengine - INFO - Epoch(train) [251][1200/1879] lr: 1.4387e-04 eta: 1:26:32 time: 0.5186 data_time: 0.0341 memory: 18104 grad_norm: 7.5835 loss: 1.9829 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0838 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 0.8991 2023/02/03 10:22:01 - mmengine - INFO - Epoch(train) [251][1220/1879] lr: 1.4330e-04 eta: 1:26:22 time: 0.5048 data_time: 0.0403 memory: 18104 grad_norm: 7.5608 loss: 2.1966 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.2112 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 0.9855 2023/02/03 10:22:12 - mmengine - INFO - Epoch(train) [251][1240/1879] lr: 1.4273e-04 eta: 1:26:11 time: 0.5161 data_time: 0.0358 memory: 18104 grad_norm: 7.5561 loss: 1.7564 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 0.9372 top1_acc_1: 0.6588 top5_acc_1: 0.8824 loss_cls_1: 0.8192 2023/02/03 10:22:17 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 10:22:22 - mmengine - INFO - Epoch(train) [251][1260/1879] lr: 1.4216e-04 eta: 1:26:01 time: 0.4983 data_time: 0.0356 memory: 18104 grad_norm: 7.5142 loss: 1.7555 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 0.8770 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 0.8785 2023/02/03 10:22:32 - mmengine - INFO - Epoch(train) [251][1280/1879] lr: 1.4159e-04 eta: 1:25:51 time: 0.5126 data_time: 0.0325 memory: 18104 grad_norm: 7.7124 loss: 2.0598 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1805 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.8793 2023/02/03 10:22:42 - mmengine - INFO - Epoch(train) [251][1300/1879] lr: 1.4103e-04 eta: 1:25:40 time: 0.5117 data_time: 0.0361 memory: 18104 grad_norm: 7.4998 loss: 1.9760 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.0691 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 0.9069 2023/02/03 10:22:52 - mmengine - INFO - Epoch(train) [251][1320/1879] lr: 1.4046e-04 eta: 1:25:30 time: 0.5125 data_time: 0.0327 memory: 18104 grad_norm: 7.6794 loss: 2.0198 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0601 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.9597 2023/02/03 10:23:02 - mmengine - INFO - Epoch(train) [251][1340/1879] lr: 1.3990e-04 eta: 1:25:20 time: 0.5013 data_time: 0.0358 memory: 18104 grad_norm: 7.7750 loss: 2.0465 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.1616 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.8848 2023/02/03 10:23:13 - mmengine - INFO - Epoch(train) [251][1360/1879] lr: 1.3934e-04 eta: 1:25:09 time: 0.5213 data_time: 0.0329 memory: 18104 grad_norm: 7.6055 loss: 1.8371 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 0.9889 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 0.8483 2023/02/03 10:23:23 - mmengine - INFO - Epoch(train) [251][1380/1879] lr: 1.3877e-04 eta: 1:24:59 time: 0.5093 data_time: 0.0341 memory: 18104 grad_norm: 7.6217 loss: 2.1884 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3031 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 0.8853 2023/02/03 10:23:33 - mmengine - INFO - Epoch(train) [251][1400/1879] lr: 1.3821e-04 eta: 1:24:49 time: 0.5045 data_time: 0.0354 memory: 18104 grad_norm: 7.6249 loss: 1.7287 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 0.8225 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 0.9061 2023/02/03 10:23:43 - mmengine - INFO - Epoch(train) [251][1420/1879] lr: 1.3766e-04 eta: 1:24:38 time: 0.5094 data_time: 0.0361 memory: 18104 grad_norm: 7.7598 loss: 1.8983 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 0.9486 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9497 2023/02/03 10:23:54 - mmengine - INFO - Epoch(train) [251][1440/1879] lr: 1.3710e-04 eta: 1:24:28 time: 0.5252 data_time: 0.0330 memory: 18104 grad_norm: 7.5982 loss: 1.9685 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1261 top1_acc_1: 0.8588 top5_acc_1: 0.9529 loss_cls_1: 0.8424 2023/02/03 10:24:04 - mmengine - INFO - Epoch(train) [251][1460/1879] lr: 1.3654e-04 eta: 1:24:18 time: 0.5030 data_time: 0.0345 memory: 18104 grad_norm: 7.6900 loss: 2.0563 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.1614 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.8949 2023/02/03 10:24:14 - mmengine - INFO - Epoch(train) [251][1480/1879] lr: 1.3599e-04 eta: 1:24:07 time: 0.5011 data_time: 0.0336 memory: 18104 grad_norm: 7.9515 loss: 1.9887 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1152 top1_acc_1: 0.6824 top5_acc_1: 0.9412 loss_cls_1: 0.8735 2023/02/03 10:24:25 - mmengine - INFO - Epoch(train) [251][1500/1879] lr: 1.3543e-04 eta: 1:23:57 time: 0.5237 data_time: 0.0366 memory: 18104 grad_norm: 7.6966 loss: 2.0993 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1455 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 0.9538 2023/02/03 10:24:35 - mmengine - INFO - Epoch(train) [251][1520/1879] lr: 1.3488e-04 eta: 1:23:47 time: 0.5139 data_time: 0.0328 memory: 18104 grad_norm: 7.6756 loss: 1.7760 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 0.9444 top1_acc_1: 0.8235 top5_acc_1: 0.9647 loss_cls_1: 0.8316 2023/02/03 10:24:45 - mmengine - INFO - Epoch(train) [251][1540/1879] lr: 1.3433e-04 eta: 1:23:36 time: 0.4987 data_time: 0.0345 memory: 18104 grad_norm: 7.7769 loss: 2.0345 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.0511 top1_acc_1: 0.7176 top5_acc_1: 0.8588 loss_cls_1: 0.9833 2023/02/03 10:24:55 - mmengine - INFO - Epoch(train) [251][1560/1879] lr: 1.3377e-04 eta: 1:23:26 time: 0.5128 data_time: 0.0325 memory: 18104 grad_norm: 7.4760 loss: 2.1078 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1770 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9308 2023/02/03 10:25:06 - mmengine - INFO - Epoch(train) [251][1580/1879] lr: 1.3322e-04 eta: 1:23:16 time: 0.5202 data_time: 0.0429 memory: 18104 grad_norm: 7.6756 loss: 2.0969 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.2372 top1_acc_1: 0.7059 top5_acc_1: 0.9529 loss_cls_1: 0.8598 2023/02/03 10:25:16 - mmengine - INFO - Epoch(train) [251][1600/1879] lr: 1.3268e-04 eta: 1:23:06 time: 0.5120 data_time: 0.0326 memory: 18104 grad_norm: 7.7507 loss: 2.0878 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2079 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 0.8800 2023/02/03 10:25:26 - mmengine - INFO - Epoch(train) [251][1620/1879] lr: 1.3213e-04 eta: 1:22:55 time: 0.4976 data_time: 0.0353 memory: 18104 grad_norm: 7.6274 loss: 2.0956 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.1297 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 0.9659 2023/02/03 10:25:36 - mmengine - INFO - Epoch(train) [251][1640/1879] lr: 1.3158e-04 eta: 1:22:45 time: 0.5208 data_time: 0.0457 memory: 18104 grad_norm: 7.6268 loss: 2.0304 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1577 top1_acc_1: 0.8118 top5_acc_1: 0.9765 loss_cls_1: 0.8727 2023/02/03 10:25:47 - mmengine - INFO - Epoch(train) [251][1660/1879] lr: 1.3104e-04 eta: 1:22:35 time: 0.5079 data_time: 0.0358 memory: 18104 grad_norm: 7.7433 loss: 1.9881 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0805 top1_acc_1: 0.7412 top5_acc_1: 0.9529 loss_cls_1: 0.9076 2023/02/03 10:25:57 - mmengine - INFO - Epoch(train) [251][1680/1879] lr: 1.3049e-04 eta: 1:22:24 time: 0.5026 data_time: 0.0332 memory: 18104 grad_norm: 7.4942 loss: 1.9296 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0352 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.8944 2023/02/03 10:26:07 - mmengine - INFO - Epoch(train) [251][1700/1879] lr: 1.2995e-04 eta: 1:22:14 time: 0.5127 data_time: 0.0349 memory: 18104 grad_norm: 7.7876 loss: 2.0762 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1484 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9278 2023/02/03 10:26:18 - mmengine - INFO - Epoch(train) [251][1720/1879] lr: 1.2941e-04 eta: 1:22:04 time: 0.5399 data_time: 0.0318 memory: 18104 grad_norm: 7.6696 loss: 1.9738 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0789 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.8948 2023/02/03 10:26:28 - mmengine - INFO - Epoch(train) [251][1740/1879] lr: 1.2887e-04 eta: 1:21:53 time: 0.5164 data_time: 0.0355 memory: 18104 grad_norm: 7.7010 loss: 2.2752 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.3192 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.9559 2023/02/03 10:26:38 - mmengine - INFO - Epoch(train) [251][1760/1879] lr: 1.2833e-04 eta: 1:21:43 time: 0.5205 data_time: 0.0332 memory: 18104 grad_norm: 7.7390 loss: 2.0796 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1672 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9124 2023/02/03 10:26:49 - mmengine - INFO - Epoch(train) [251][1780/1879] lr: 1.2779e-04 eta: 1:21:33 time: 0.5379 data_time: 0.0336 memory: 18104 grad_norm: 7.5756 loss: 1.9430 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.0361 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.9069 2023/02/03 10:27:00 - mmengine - INFO - Epoch(train) [251][1800/1879] lr: 1.2725e-04 eta: 1:21:23 time: 0.5249 data_time: 0.0329 memory: 18104 grad_norm: 7.6066 loss: 1.9817 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 0.9986 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.9831 2023/02/03 10:27:10 - mmengine - INFO - Epoch(train) [251][1820/1879] lr: 1.2671e-04 eta: 1:21:12 time: 0.5142 data_time: 0.0331 memory: 18104 grad_norm: 7.7369 loss: 1.8193 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 0.8761 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9432 2023/02/03 10:27:21 - mmengine - INFO - Epoch(train) [251][1840/1879] lr: 1.2618e-04 eta: 1:21:02 time: 0.5339 data_time: 0.0406 memory: 18104 grad_norm: 7.6514 loss: 1.8358 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 0.9628 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.8730 2023/02/03 10:27:31 - mmengine - INFO - Epoch(train) [251][1860/1879] lr: 1.2564e-04 eta: 1:20:52 time: 0.5071 data_time: 0.0359 memory: 18104 grad_norm: 7.7282 loss: 1.8402 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 0.9842 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 0.8560 2023/02/03 10:27:40 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 10:27:40 - mmengine - INFO - Epoch(train) [251][1879/1879] lr: 1.2514e-04 eta: 1:20:42 time: 0.4908 data_time: 0.0310 memory: 18104 grad_norm: 7.8425 loss: 2.1694 top1_acc_0: 0.7143 top5_acc_0: 0.8571 loss_cls_0: 1.3210 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.8484 2023/02/03 10:27:55 - mmengine - INFO - Epoch(train) [252][ 20/1879] lr: 1.2460e-04 eta: 1:20:32 time: 0.7135 data_time: 0.2554 memory: 18104 grad_norm: 7.4625 loss: 1.8475 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 0.9879 top1_acc_1: 0.7882 top5_acc_1: 0.8824 loss_cls_1: 0.8596 2023/02/03 10:28:05 - mmengine - INFO - Epoch(train) [252][ 40/1879] lr: 1.2407e-04 eta: 1:20:21 time: 0.4804 data_time: 0.0361 memory: 18104 grad_norm: 7.6785 loss: 2.4064 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.5319 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 0.8745 2023/02/03 10:28:15 - mmengine - INFO - Epoch(train) [252][ 60/1879] lr: 1.2354e-04 eta: 1:20:11 time: 0.4866 data_time: 0.0398 memory: 18104 grad_norm: 7.5833 loss: 1.9174 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.0480 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 0.8694 2023/02/03 10:28:25 - mmengine - INFO - Epoch(train) [252][ 80/1879] lr: 1.2302e-04 eta: 1:20:01 time: 0.5264 data_time: 0.0407 memory: 18104 grad_norm: 7.8345 loss: 2.0678 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.1440 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 0.9237 2023/02/03 10:28:35 - mmengine - INFO - Epoch(train) [252][ 100/1879] lr: 1.2249e-04 eta: 1:19:50 time: 0.5005 data_time: 0.0367 memory: 18104 grad_norm: 7.5408 loss: 1.9223 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0169 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.9055 2023/02/03 10:28:45 - mmengine - INFO - Epoch(train) [252][ 120/1879] lr: 1.2196e-04 eta: 1:19:40 time: 0.4916 data_time: 0.0359 memory: 18104 grad_norm: 7.6208 loss: 2.0358 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.0558 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 0.9800 2023/02/03 10:28:56 - mmengine - INFO - Epoch(train) [252][ 140/1879] lr: 1.2144e-04 eta: 1:19:30 time: 0.5260 data_time: 0.0364 memory: 18104 grad_norm: 7.7192 loss: 2.1095 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2637 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 0.8458 2023/02/03 10:29:06 - mmengine - INFO - Epoch(train) [252][ 160/1879] lr: 1.2091e-04 eta: 1:19:19 time: 0.5093 data_time: 0.0393 memory: 18104 grad_norm: 7.4130 loss: 1.8987 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.0378 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 0.8609 2023/02/03 10:29:16 - mmengine - INFO - Epoch(train) [252][ 180/1879] lr: 1.2039e-04 eta: 1:19:09 time: 0.5032 data_time: 0.0342 memory: 18104 grad_norm: 7.6857 loss: 1.9543 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.0552 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.8991 2023/02/03 10:29:26 - mmengine - INFO - Epoch(train) [252][ 200/1879] lr: 1.1987e-04 eta: 1:18:59 time: 0.5045 data_time: 0.0334 memory: 18104 grad_norm: 7.5869 loss: 2.1292 top1_acc_0: 0.6875 top5_acc_0: 0.6875 loss_cls_0: 1.2216 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.9077 2023/02/03 10:29:37 - mmengine - INFO - Epoch(train) [252][ 220/1879] lr: 1.1935e-04 eta: 1:18:48 time: 0.5284 data_time: 0.0370 memory: 18104 grad_norm: 7.6173 loss: 2.1032 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.2048 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 0.8984 2023/02/03 10:29:47 - mmengine - INFO - Epoch(train) [252][ 240/1879] lr: 1.1883e-04 eta: 1:18:38 time: 0.5052 data_time: 0.0358 memory: 18104 grad_norm: 7.6697 loss: 1.8256 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 0.9312 top1_acc_1: 0.8588 top5_acc_1: 0.9647 loss_cls_1: 0.8943 2023/02/03 10:29:57 - mmengine - INFO - Epoch(train) [252][ 260/1879] lr: 1.1831e-04 eta: 1:18:28 time: 0.5116 data_time: 0.0349 memory: 18104 grad_norm: 7.6961 loss: 1.8051 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 0.9338 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.8713 2023/02/03 10:30:07 - mmengine - INFO - Epoch(train) [252][ 280/1879] lr: 1.1779e-04 eta: 1:18:18 time: 0.5121 data_time: 0.0318 memory: 18104 grad_norm: 7.8558 loss: 2.0069 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.0693 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 0.9376 2023/02/03 10:30:17 - mmengine - INFO - Epoch(train) [252][ 300/1879] lr: 1.1728e-04 eta: 1:18:07 time: 0.5066 data_time: 0.0358 memory: 18104 grad_norm: 7.7443 loss: 2.0078 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.1257 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.8821 2023/02/03 10:30:28 - mmengine - INFO - Epoch(train) [252][ 320/1879] lr: 1.1676e-04 eta: 1:17:57 time: 0.5167 data_time: 0.0336 memory: 18104 grad_norm: 7.6581 loss: 1.9241 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0134 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9107 2023/02/03 10:30:38 - mmengine - INFO - Epoch(train) [252][ 340/1879] lr: 1.1625e-04 eta: 1:17:47 time: 0.5046 data_time: 0.0339 memory: 18104 grad_norm: 7.8101 loss: 1.9999 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1741 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.8259 2023/02/03 10:30:48 - mmengine - INFO - Epoch(train) [252][ 360/1879] lr: 1.1574e-04 eta: 1:17:36 time: 0.5181 data_time: 0.0340 memory: 18104 grad_norm: 7.5844 loss: 2.0713 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0975 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.9739 2023/02/03 10:30:54 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 10:30:59 - mmengine - INFO - Epoch(train) [252][ 380/1879] lr: 1.1522e-04 eta: 1:17:26 time: 0.5112 data_time: 0.0357 memory: 18104 grad_norm: 7.5632 loss: 1.9547 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0492 top1_acc_1: 0.6824 top5_acc_1: 0.9059 loss_cls_1: 0.9054 2023/02/03 10:31:09 - mmengine - INFO - Epoch(train) [252][ 400/1879] lr: 1.1471e-04 eta: 1:17:16 time: 0.5132 data_time: 0.0349 memory: 18104 grad_norm: 7.6145 loss: 1.9324 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0620 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.8703 2023/02/03 10:31:19 - mmengine - INFO - Epoch(train) [252][ 420/1879] lr: 1.1420e-04 eta: 1:17:05 time: 0.5184 data_time: 0.0346 memory: 18104 grad_norm: 7.8480 loss: 1.8902 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.0066 top1_acc_1: 0.8118 top5_acc_1: 0.9647 loss_cls_1: 0.8836 2023/02/03 10:31:30 - mmengine - INFO - Epoch(train) [252][ 440/1879] lr: 1.1370e-04 eta: 1:16:55 time: 0.5138 data_time: 0.0286 memory: 18104 grad_norm: 7.7690 loss: 2.1217 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1744 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 0.9472 2023/02/03 10:31:40 - mmengine - INFO - Epoch(train) [252][ 460/1879] lr: 1.1319e-04 eta: 1:16:45 time: 0.5344 data_time: 0.0461 memory: 18104 grad_norm: 7.8871 loss: 2.1169 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1957 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9212 2023/02/03 10:31:50 - mmengine - INFO - Epoch(train) [252][ 480/1879] lr: 1.1268e-04 eta: 1:16:34 time: 0.5047 data_time: 0.0302 memory: 18104 grad_norm: 7.9337 loss: 1.8738 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0227 top1_acc_1: 0.8588 top5_acc_1: 0.9529 loss_cls_1: 0.8511 2023/02/03 10:32:01 - mmengine - INFO - Epoch(train) [252][ 500/1879] lr: 1.1218e-04 eta: 1:16:24 time: 0.5249 data_time: 0.0393 memory: 18104 grad_norm: 7.6879 loss: 2.0424 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.1807 top1_acc_1: 0.8118 top5_acc_1: 0.9647 loss_cls_1: 0.8617 2023/02/03 10:32:11 - mmengine - INFO - Epoch(train) [252][ 520/1879] lr: 1.1167e-04 eta: 1:16:14 time: 0.5145 data_time: 0.0348 memory: 18104 grad_norm: 7.7278 loss: 2.0183 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0559 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.9624 2023/02/03 10:32:22 - mmengine - INFO - Epoch(train) [252][ 540/1879] lr: 1.1117e-04 eta: 1:16:04 time: 0.5294 data_time: 0.0380 memory: 18104 grad_norm: 7.8919 loss: 2.0542 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1187 top1_acc_1: 0.6706 top5_acc_1: 0.8706 loss_cls_1: 0.9355 2023/02/03 10:32:32 - mmengine - INFO - Epoch(train) [252][ 560/1879] lr: 1.1067e-04 eta: 1:15:53 time: 0.5264 data_time: 0.0289 memory: 18104 grad_norm: 7.8984 loss: 2.2664 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.2463 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 1.0201 2023/02/03 10:32:43 - mmengine - INFO - Epoch(train) [252][ 580/1879] lr: 1.1017e-04 eta: 1:15:43 time: 0.5296 data_time: 0.0457 memory: 18104 grad_norm: 7.8725 loss: 2.0886 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2110 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 0.8776 2023/02/03 10:32:54 - mmengine - INFO - Epoch(train) [252][ 600/1879] lr: 1.0967e-04 eta: 1:15:33 time: 0.5334 data_time: 0.0317 memory: 18104 grad_norm: 7.5577 loss: 2.0262 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1501 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.8761 2023/02/03 10:33:04 - mmengine - INFO - Epoch(train) [252][ 620/1879] lr: 1.0917e-04 eta: 1:15:22 time: 0.5273 data_time: 0.0363 memory: 18104 grad_norm: 7.6454 loss: 1.9741 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1340 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 0.8402 2023/02/03 10:33:15 - mmengine - INFO - Epoch(train) [252][ 640/1879] lr: 1.0868e-04 eta: 1:15:12 time: 0.5262 data_time: 0.0285 memory: 18104 grad_norm: 7.9417 loss: 1.9708 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.0842 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.8865 2023/02/03 10:33:26 - mmengine - INFO - Epoch(train) [252][ 660/1879] lr: 1.0818e-04 eta: 1:15:02 time: 0.5599 data_time: 0.0424 memory: 18104 grad_norm: 7.5520 loss: 1.8802 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 0.9615 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.9186 2023/02/03 10:33:36 - mmengine - INFO - Epoch(train) [252][ 680/1879] lr: 1.0769e-04 eta: 1:14:52 time: 0.5215 data_time: 0.0292 memory: 18104 grad_norm: 7.7613 loss: 2.0484 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.1123 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.9361 2023/02/03 10:33:47 - mmengine - INFO - Epoch(train) [252][ 700/1879] lr: 1.0719e-04 eta: 1:14:41 time: 0.5357 data_time: 0.0384 memory: 18104 grad_norm: 7.6899 loss: 1.9359 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.0074 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 0.9286 2023/02/03 10:33:58 - mmengine - INFO - Epoch(train) [252][ 720/1879] lr: 1.0670e-04 eta: 1:14:31 time: 0.5349 data_time: 0.0376 memory: 18104 grad_norm: 7.9373 loss: 2.2006 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2359 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9647 2023/02/03 10:34:09 - mmengine - INFO - Epoch(train) [252][ 740/1879] lr: 1.0621e-04 eta: 1:14:21 time: 0.5381 data_time: 0.0381 memory: 18104 grad_norm: 7.7007 loss: 2.0743 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.1443 top1_acc_1: 0.6588 top5_acc_1: 0.9412 loss_cls_1: 0.9299 2023/02/03 10:34:19 - mmengine - INFO - Epoch(train) [252][ 760/1879] lr: 1.0572e-04 eta: 1:14:10 time: 0.5331 data_time: 0.0306 memory: 18104 grad_norm: 7.4960 loss: 1.9332 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.0662 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 0.8671 2023/02/03 10:34:30 - mmengine - INFO - Epoch(train) [252][ 780/1879] lr: 1.0523e-04 eta: 1:14:00 time: 0.5405 data_time: 0.0443 memory: 18104 grad_norm: 7.5757 loss: 1.9256 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 0.9906 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9351 2023/02/03 10:34:41 - mmengine - INFO - Epoch(train) [252][ 800/1879] lr: 1.0474e-04 eta: 1:13:50 time: 0.5226 data_time: 0.0283 memory: 18104 grad_norm: 7.6659 loss: 2.2441 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2468 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9973 2023/02/03 10:34:51 - mmengine - INFO - Epoch(train) [252][ 820/1879] lr: 1.0426e-04 eta: 1:13:40 time: 0.5335 data_time: 0.0366 memory: 18104 grad_norm: 7.6230 loss: 2.1116 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2444 top1_acc_1: 0.7176 top5_acc_1: 0.8235 loss_cls_1: 0.8672 2023/02/03 10:35:02 - mmengine - INFO - Epoch(train) [252][ 840/1879] lr: 1.0377e-04 eta: 1:13:29 time: 0.5331 data_time: 0.0362 memory: 18104 grad_norm: 7.8616 loss: 2.0083 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1043 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 0.9040 2023/02/03 10:35:13 - mmengine - INFO - Epoch(train) [252][ 860/1879] lr: 1.0329e-04 eta: 1:13:19 time: 0.5441 data_time: 0.0371 memory: 18104 grad_norm: 7.8153 loss: 2.0921 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.2335 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.8586 2023/02/03 10:35:24 - mmengine - INFO - Epoch(train) [252][ 880/1879] lr: 1.0280e-04 eta: 1:13:09 time: 0.5351 data_time: 0.0288 memory: 18104 grad_norm: 7.6377 loss: 2.0770 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1883 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.8887 2023/02/03 10:35:35 - mmengine - INFO - Epoch(train) [252][ 900/1879] lr: 1.0232e-04 eta: 1:12:58 time: 0.5423 data_time: 0.0450 memory: 18104 grad_norm: 7.7012 loss: 2.0188 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1179 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9009 2023/02/03 10:35:45 - mmengine - INFO - Epoch(train) [252][ 920/1879] lr: 1.0184e-04 eta: 1:12:48 time: 0.5394 data_time: 0.0313 memory: 18104 grad_norm: 7.7293 loss: 2.1239 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1907 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9332 2023/02/03 10:35:56 - mmengine - INFO - Epoch(train) [252][ 940/1879] lr: 1.0136e-04 eta: 1:12:38 time: 0.5437 data_time: 0.0379 memory: 18104 grad_norm: 7.6702 loss: 2.0684 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.1541 top1_acc_1: 0.7882 top5_acc_1: 0.8824 loss_cls_1: 0.9143 2023/02/03 10:36:07 - mmengine - INFO - Epoch(train) [252][ 960/1879] lr: 1.0088e-04 eta: 1:12:28 time: 0.5116 data_time: 0.0293 memory: 18104 grad_norm: 7.8006 loss: 2.1739 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.2267 top1_acc_1: 0.7647 top5_acc_1: 0.8706 loss_cls_1: 0.9472 2023/02/03 10:36:18 - mmengine - INFO - Epoch(train) [252][ 980/1879] lr: 1.0040e-04 eta: 1:12:17 time: 0.5464 data_time: 0.0377 memory: 18104 grad_norm: 7.7143 loss: 2.0885 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.1966 top1_acc_1: 0.8235 top5_acc_1: 0.8824 loss_cls_1: 0.8918 2023/02/03 10:36:28 - mmengine - INFO - Epoch(train) [252][1000/1879] lr: 9.9926e-05 eta: 1:12:07 time: 0.5238 data_time: 0.0310 memory: 18104 grad_norm: 7.7242 loss: 1.9390 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.0133 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9258 2023/02/03 10:36:39 - mmengine - INFO - Epoch(train) [252][1020/1879] lr: 9.9451e-05 eta: 1:11:57 time: 0.5274 data_time: 0.0346 memory: 18104 grad_norm: 7.5674 loss: 1.8924 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0165 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.8759 2023/02/03 10:36:49 - mmengine - INFO - Epoch(train) [252][1040/1879] lr: 9.8977e-05 eta: 1:11:46 time: 0.5290 data_time: 0.0298 memory: 18104 grad_norm: 7.6728 loss: 1.8626 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 0.9846 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.8781 2023/02/03 10:37:00 - mmengine - INFO - Epoch(train) [252][1060/1879] lr: 9.8504e-05 eta: 1:11:36 time: 0.5350 data_time: 0.0368 memory: 18104 grad_norm: 7.6705 loss: 2.0292 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.0904 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9388 2023/02/03 10:37:10 - mmengine - INFO - Epoch(train) [252][1080/1879] lr: 9.8032e-05 eta: 1:11:26 time: 0.5162 data_time: 0.0286 memory: 18104 grad_norm: 7.7397 loss: 1.9863 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1401 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.8462 2023/02/03 10:37:21 - mmengine - INFO - Epoch(train) [252][1100/1879] lr: 9.7561e-05 eta: 1:11:15 time: 0.5334 data_time: 0.0450 memory: 18104 grad_norm: 7.6418 loss: 1.9013 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0048 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.8965 2023/02/03 10:37:32 - mmengine - INFO - Epoch(train) [252][1120/1879] lr: 9.7091e-05 eta: 1:11:05 time: 0.5275 data_time: 0.0294 memory: 18104 grad_norm: 7.7312 loss: 2.0062 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1286 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 0.8776 2023/02/03 10:37:42 - mmengine - INFO - Epoch(train) [252][1140/1879] lr: 9.6623e-05 eta: 1:10:55 time: 0.5262 data_time: 0.0377 memory: 18104 grad_norm: 7.6285 loss: 1.9577 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0591 top1_acc_1: 0.8353 top5_acc_1: 0.9647 loss_cls_1: 0.8986 2023/02/03 10:37:52 - mmengine - INFO - Epoch(train) [252][1160/1879] lr: 9.6155e-05 eta: 1:10:45 time: 0.5173 data_time: 0.0279 memory: 18104 grad_norm: 7.9651 loss: 1.9125 top1_acc_0: 0.6250 top5_acc_0: 0.6875 loss_cls_0: 1.0222 top1_acc_1: 0.7412 top5_acc_1: 0.9647 loss_cls_1: 0.8903 2023/02/03 10:38:03 - mmengine - INFO - Epoch(train) [252][1180/1879] lr: 9.5689e-05 eta: 1:10:34 time: 0.5395 data_time: 0.0449 memory: 18104 grad_norm: 7.7011 loss: 1.9909 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1110 top1_acc_1: 0.8000 top5_acc_1: 0.8941 loss_cls_1: 0.8799 2023/02/03 10:38:14 - mmengine - INFO - Epoch(train) [252][1200/1879] lr: 9.5224e-05 eta: 1:10:24 time: 0.5235 data_time: 0.0301 memory: 18104 grad_norm: 7.6865 loss: 2.1324 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.2387 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.8937 2023/02/03 10:38:25 - mmengine - INFO - Epoch(train) [252][1220/1879] lr: 9.4760e-05 eta: 1:10:14 time: 0.5355 data_time: 0.0455 memory: 18104 grad_norm: 7.5453 loss: 2.0747 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1506 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 0.9240 2023/02/03 10:38:35 - mmengine - INFO - Epoch(train) [252][1240/1879] lr: 9.4297e-05 eta: 1:10:03 time: 0.5192 data_time: 0.0297 memory: 18104 grad_norm: 7.4860 loss: 1.7829 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 0.8427 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.9401 2023/02/03 10:38:45 - mmengine - INFO - Epoch(train) [252][1260/1879] lr: 9.3835e-05 eta: 1:09:53 time: 0.5252 data_time: 0.0379 memory: 18104 grad_norm: 7.5482 loss: 2.0480 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.2036 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.8444 2023/02/03 10:38:56 - mmengine - INFO - Epoch(train) [252][1280/1879] lr: 9.3375e-05 eta: 1:09:43 time: 0.5206 data_time: 0.0328 memory: 18104 grad_norm: 7.6344 loss: 1.9288 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.0199 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9089 2023/02/03 10:39:07 - mmengine - INFO - Epoch(train) [252][1300/1879] lr: 9.2915e-05 eta: 1:09:32 time: 0.5353 data_time: 0.0437 memory: 18104 grad_norm: 7.5204 loss: 2.0003 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.0602 top1_acc_1: 0.8353 top5_acc_1: 0.9294 loss_cls_1: 0.9401 2023/02/03 10:39:17 - mmengine - INFO - Epoch(train) [252][1320/1879] lr: 9.2457e-05 eta: 1:09:22 time: 0.5147 data_time: 0.0297 memory: 18104 grad_norm: 7.6286 loss: 1.8798 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 0.9414 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9384 2023/02/03 10:39:28 - mmengine - INFO - Epoch(train) [252][1340/1879] lr: 9.2000e-05 eta: 1:09:12 time: 0.5377 data_time: 0.0355 memory: 18104 grad_norm: 7.9103 loss: 1.9832 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0966 top1_acc_1: 0.8353 top5_acc_1: 0.9647 loss_cls_1: 0.8866 2023/02/03 10:39:38 - mmengine - INFO - Epoch(train) [252][1360/1879] lr: 9.1544e-05 eta: 1:09:02 time: 0.5128 data_time: 0.0302 memory: 18104 grad_norm: 7.6751 loss: 2.0172 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.0427 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.9745 2023/02/03 10:39:44 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 10:39:49 - mmengine - INFO - Epoch(train) [252][1380/1879] lr: 9.1089e-05 eta: 1:08:51 time: 0.5335 data_time: 0.0451 memory: 18104 grad_norm: 7.7306 loss: 2.2038 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2617 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.9421 2023/02/03 10:39:59 - mmengine - INFO - Epoch(train) [252][1400/1879] lr: 9.0635e-05 eta: 1:08:41 time: 0.5129 data_time: 0.0295 memory: 18104 grad_norm: 7.8255 loss: 2.0246 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1274 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 0.8972 2023/02/03 10:40:10 - mmengine - INFO - Epoch(train) [252][1420/1879] lr: 9.0182e-05 eta: 1:08:31 time: 0.5326 data_time: 0.0359 memory: 18104 grad_norm: 7.6591 loss: 1.9799 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1268 top1_acc_1: 0.9059 top5_acc_1: 0.9529 loss_cls_1: 0.8531 2023/02/03 10:40:20 - mmengine - INFO - Epoch(train) [252][1440/1879] lr: 8.9730e-05 eta: 1:08:20 time: 0.5264 data_time: 0.0398 memory: 18104 grad_norm: 7.6711 loss: 2.0315 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.1394 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.8921 2023/02/03 10:40:31 - mmengine - INFO - Epoch(train) [252][1460/1879] lr: 8.9280e-05 eta: 1:08:10 time: 0.5261 data_time: 0.0367 memory: 18104 grad_norm: 7.7341 loss: 1.9726 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.1131 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.8595 2023/02/03 10:40:41 - mmengine - INFO - Epoch(train) [252][1480/1879] lr: 8.8831e-05 eta: 1:08:00 time: 0.5199 data_time: 0.0303 memory: 18104 grad_norm: 7.7545 loss: 1.9585 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0716 top1_acc_1: 0.8824 top5_acc_1: 0.9529 loss_cls_1: 0.8869 2023/02/03 10:40:52 - mmengine - INFO - Epoch(train) [252][1500/1879] lr: 8.8383e-05 eta: 1:07:49 time: 0.5415 data_time: 0.0354 memory: 18104 grad_norm: 7.6892 loss: 1.9463 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0777 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 0.8686 2023/02/03 10:41:02 - mmengine - INFO - Epoch(train) [252][1520/1879] lr: 8.7936e-05 eta: 1:07:39 time: 0.5077 data_time: 0.0306 memory: 18104 grad_norm: 7.7592 loss: 1.7350 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 0.8995 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.8355 2023/02/03 10:41:13 - mmengine - INFO - Epoch(train) [252][1540/1879] lr: 8.7490e-05 eta: 1:07:29 time: 0.5220 data_time: 0.0360 memory: 18104 grad_norm: 7.4291 loss: 1.8028 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 0.9925 top1_acc_1: 0.8471 top5_acc_1: 0.9647 loss_cls_1: 0.8103 2023/02/03 10:41:23 - mmengine - INFO - Epoch(train) [252][1560/1879] lr: 8.7045e-05 eta: 1:07:19 time: 0.5218 data_time: 0.0318 memory: 18104 grad_norm: 7.5322 loss: 1.9813 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.0908 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.8905 2023/02/03 10:41:34 - mmengine - INFO - Epoch(train) [252][1580/1879] lr: 8.6601e-05 eta: 1:07:08 time: 0.5321 data_time: 0.0360 memory: 18104 grad_norm: 7.7666 loss: 2.0315 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.1446 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.8869 2023/02/03 10:41:44 - mmengine - INFO - Epoch(train) [252][1600/1879] lr: 8.6159e-05 eta: 1:06:58 time: 0.5102 data_time: 0.0316 memory: 18104 grad_norm: 7.6655 loss: 1.9850 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0737 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 0.9113 2023/02/03 10:41:55 - mmengine - INFO - Epoch(train) [252][1620/1879] lr: 8.5717e-05 eta: 1:06:48 time: 0.5267 data_time: 0.0368 memory: 18104 grad_norm: 7.9157 loss: 2.3135 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.3731 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 0.9404 2023/02/03 10:42:05 - mmengine - INFO - Epoch(train) [252][1640/1879] lr: 8.5277e-05 eta: 1:06:37 time: 0.5167 data_time: 0.0393 memory: 18104 grad_norm: 7.5679 loss: 1.9638 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0474 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9163 2023/02/03 10:42:16 - mmengine - INFO - Epoch(train) [252][1660/1879] lr: 8.4838e-05 eta: 1:06:27 time: 0.5310 data_time: 0.0368 memory: 18104 grad_norm: 7.5892 loss: 2.0401 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1380 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 0.9021 2023/02/03 10:42:26 - mmengine - INFO - Epoch(train) [252][1680/1879] lr: 8.4400e-05 eta: 1:06:17 time: 0.5064 data_time: 0.0319 memory: 18104 grad_norm: 7.3627 loss: 1.9631 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0625 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9006 2023/02/03 10:42:37 - mmengine - INFO - Epoch(train) [252][1700/1879] lr: 8.3963e-05 eta: 1:06:06 time: 0.5486 data_time: 0.0532 memory: 18104 grad_norm: 7.9007 loss: 2.1928 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.2920 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 0.9008 2023/02/03 10:42:47 - mmengine - INFO - Epoch(train) [252][1720/1879] lr: 8.3527e-05 eta: 1:05:56 time: 0.5102 data_time: 0.0299 memory: 18104 grad_norm: 7.6010 loss: 1.9398 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0190 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.9208 2023/02/03 10:42:57 - mmengine - INFO - Epoch(train) [252][1740/1879] lr: 8.3093e-05 eta: 1:05:46 time: 0.5195 data_time: 0.0368 memory: 18104 grad_norm: 7.6353 loss: 1.8263 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 0.9827 top1_acc_1: 0.7176 top5_acc_1: 0.8941 loss_cls_1: 0.8436 2023/02/03 10:43:08 - mmengine - INFO - Epoch(train) [252][1760/1879] lr: 8.2659e-05 eta: 1:05:36 time: 0.5301 data_time: 0.0302 memory: 18104 grad_norm: 7.4926 loss: 1.9603 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0463 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9140 2023/02/03 10:43:19 - mmengine - INFO - Epoch(train) [252][1780/1879] lr: 8.2227e-05 eta: 1:05:25 time: 0.5429 data_time: 0.0454 memory: 18104 grad_norm: 7.7993 loss: 2.0097 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1314 top1_acc_1: 0.6824 top5_acc_1: 0.8588 loss_cls_1: 0.8783 2023/02/03 10:43:29 - mmengine - INFO - Epoch(train) [252][1800/1879] lr: 8.1796e-05 eta: 1:05:15 time: 0.5176 data_time: 0.0317 memory: 18104 grad_norm: 7.6506 loss: 2.0644 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1759 top1_acc_1: 0.7647 top5_acc_1: 0.9765 loss_cls_1: 0.8885 2023/02/03 10:43:40 - mmengine - INFO - Epoch(train) [252][1820/1879] lr: 8.1366e-05 eta: 1:05:05 time: 0.5370 data_time: 0.0377 memory: 18104 grad_norm: 7.6177 loss: 1.9255 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.0594 top1_acc_1: 0.7882 top5_acc_1: 0.8706 loss_cls_1: 0.8661 2023/02/03 10:43:51 - mmengine - INFO - Epoch(train) [252][1840/1879] lr: 8.0937e-05 eta: 1:04:54 time: 0.5363 data_time: 0.0355 memory: 18104 grad_norm: 7.5951 loss: 1.8659 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.0205 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 0.8454 2023/02/03 10:44:01 - mmengine - INFO - Epoch(train) [252][1860/1879] lr: 8.0509e-05 eta: 1:04:44 time: 0.5288 data_time: 0.0388 memory: 18104 grad_norm: 7.7266 loss: 1.8189 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 0.9292 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.8897 2023/02/03 10:44:11 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 10:44:11 - mmengine - INFO - Epoch(train) [252][1879/1879] lr: 8.0104e-05 eta: 1:04:34 time: 0.5157 data_time: 0.0264 memory: 18104 grad_norm: 8.0373 loss: 2.0195 top1_acc_0: 0.7143 top5_acc_0: 0.8571 loss_cls_0: 1.1448 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 0.8747 2023/02/03 10:44:12 - mmengine - INFO - Saving checkpoint at 252 epochs 2023/02/03 10:44:23 - mmengine - INFO - Epoch(val) [252][ 20/155] eta: 0:01:01 time: 0.4591 data_time: 0.3469 memory: 1900 2023/02/03 10:44:32 - mmengine - INFO - Epoch(val) [252][ 40/155] eta: 0:00:51 time: 0.4430 data_time: 0.3312 memory: 1900 2023/02/03 10:44:40 - mmengine - INFO - Epoch(val) [252][ 60/155] eta: 0:00:41 time: 0.4200 data_time: 0.3086 memory: 1900 2023/02/03 10:44:49 - mmengine - INFO - Epoch(val) [252][ 80/155] eta: 0:00:33 time: 0.4626 data_time: 0.3510 memory: 1900 2023/02/03 10:44:58 - mmengine - INFO - Epoch(val) [252][100/155] eta: 0:00:24 time: 0.4486 data_time: 0.3358 memory: 1900 2023/02/03 10:45:08 - mmengine - INFO - Epoch(val) [252][120/155] eta: 0:00:15 time: 0.4590 data_time: 0.3479 memory: 1900 2023/02/03 10:45:16 - mmengine - INFO - Epoch(val) [252][140/155] eta: 0:00:06 time: 0.4395 data_time: 0.3286 memory: 1900 2023/02/03 10:45:24 - mmengine - INFO - Epoch(val) [252][155/155] acc/top1: 0.7112 acc/top5: 0.8911 acc/mean1: 0.7110 2023/02/03 10:45:24 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_248.pth is removed 2023/02/03 10:45:26 - mmengine - INFO - The best checkpoint with 0.7112 acc/top1 at 252 epoch is saved to best_acc/top1_epoch_252.pth. 2023/02/03 10:45:40 - mmengine - INFO - Epoch(train) [253][ 20/1879] lr: 7.9678e-05 eta: 1:04:24 time: 0.6929 data_time: 0.2373 memory: 18104 grad_norm: 7.6266 loss: 2.0258 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1360 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 0.8898 2023/02/03 10:45:50 - mmengine - INFO - Epoch(train) [253][ 40/1879] lr: 7.9254e-05 eta: 1:04:14 time: 0.4826 data_time: 0.0346 memory: 18104 grad_norm: 7.5793 loss: 2.0674 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1000 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 0.9673 2023/02/03 10:46:01 - mmengine - INFO - Epoch(train) [253][ 60/1879] lr: 7.8831e-05 eta: 1:04:04 time: 0.5372 data_time: 0.0357 memory: 18104 grad_norm: 7.8917 loss: 1.9279 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.0372 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.8907 2023/02/03 10:46:11 - mmengine - INFO - Epoch(train) [253][ 80/1879] lr: 7.8408e-05 eta: 1:03:53 time: 0.5072 data_time: 0.0330 memory: 18104 grad_norm: 7.6049 loss: 1.8183 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 0.9838 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 0.8345 2023/02/03 10:46:21 - mmengine - INFO - Epoch(train) [253][ 100/1879] lr: 7.7987e-05 eta: 1:03:43 time: 0.5051 data_time: 0.0376 memory: 18104 grad_norm: 7.7336 loss: 1.9747 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.1085 top1_acc_1: 0.7176 top5_acc_1: 0.8353 loss_cls_1: 0.8662 2023/02/03 10:46:31 - mmengine - INFO - Epoch(train) [253][ 120/1879] lr: 7.7567e-05 eta: 1:03:33 time: 0.4900 data_time: 0.0359 memory: 18104 grad_norm: 7.7419 loss: 2.0364 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1563 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.8801 2023/02/03 10:46:42 - mmengine - INFO - Epoch(train) [253][ 140/1879] lr: 7.7149e-05 eta: 1:03:22 time: 0.5514 data_time: 0.0435 memory: 18104 grad_norm: 7.5815 loss: 2.0005 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0631 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9374 2023/02/03 10:46:52 - mmengine - INFO - Epoch(train) [253][ 160/1879] lr: 7.6731e-05 eta: 1:03:12 time: 0.4910 data_time: 0.0335 memory: 18104 grad_norm: 7.6593 loss: 2.0360 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1273 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.9087 2023/02/03 10:47:02 - mmengine - INFO - Epoch(train) [253][ 180/1879] lr: 7.6314e-05 eta: 1:03:02 time: 0.4993 data_time: 0.0361 memory: 18104 grad_norm: 7.6035 loss: 1.9501 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0674 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.8828 2023/02/03 10:47:12 - mmengine - INFO - Epoch(train) [253][ 200/1879] lr: 7.5899e-05 eta: 1:02:51 time: 0.5234 data_time: 0.0327 memory: 18104 grad_norm: 7.6125 loss: 1.9579 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0759 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.8819 2023/02/03 10:47:23 - mmengine - INFO - Epoch(train) [253][ 220/1879] lr: 7.5485e-05 eta: 1:02:41 time: 0.5181 data_time: 0.0348 memory: 18104 grad_norm: 7.7048 loss: 2.0834 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1420 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.9414 2023/02/03 10:47:33 - mmengine - INFO - Epoch(train) [253][ 240/1879] lr: 7.5072e-05 eta: 1:02:31 time: 0.4950 data_time: 0.0347 memory: 18104 grad_norm: 7.7988 loss: 2.1457 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2608 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.8849 2023/02/03 10:47:43 - mmengine - INFO - Epoch(train) [253][ 260/1879] lr: 7.4660e-05 eta: 1:02:20 time: 0.5292 data_time: 0.0361 memory: 18104 grad_norm: 8.0169 loss: 2.1785 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.3167 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.8618 2023/02/03 10:47:53 - mmengine - INFO - Epoch(train) [253][ 280/1879] lr: 7.4249e-05 eta: 1:02:10 time: 0.4931 data_time: 0.0325 memory: 18104 grad_norm: 7.6193 loss: 2.0519 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1670 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.8849 2023/02/03 10:48:04 - mmengine - INFO - Epoch(train) [253][ 300/1879] lr: 7.3839e-05 eta: 1:02:00 time: 0.5241 data_time: 0.0539 memory: 18104 grad_norm: 7.5921 loss: 1.9203 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 0.8995 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 1.0208 2023/02/03 10:48:14 - mmengine - INFO - Epoch(train) [253][ 320/1879] lr: 7.3431e-05 eta: 1:01:49 time: 0.5034 data_time: 0.0325 memory: 18104 grad_norm: 7.8831 loss: 2.0467 top1_acc_0: 0.2500 top5_acc_0: 0.6250 loss_cls_0: 1.1337 top1_acc_1: 0.7882 top5_acc_1: 0.8588 loss_cls_1: 0.9129 2023/02/03 10:48:24 - mmengine - INFO - Epoch(train) [253][ 340/1879] lr: 7.3023e-05 eta: 1:01:39 time: 0.5314 data_time: 0.0319 memory: 18104 grad_norm: 7.4787 loss: 2.0032 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0600 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 0.9432 2023/02/03 10:48:35 - mmengine - INFO - Epoch(train) [253][ 360/1879] lr: 7.2617e-05 eta: 1:01:29 time: 0.5061 data_time: 0.0412 memory: 18104 grad_norm: 7.5384 loss: 2.0654 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1456 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9198 2023/02/03 10:48:45 - mmengine - INFO - Epoch(train) [253][ 380/1879] lr: 7.2212e-05 eta: 1:01:18 time: 0.5148 data_time: 0.0302 memory: 18104 grad_norm: 7.5545 loss: 2.0326 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1316 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9010 2023/02/03 10:48:55 - mmengine - INFO - Epoch(train) [253][ 400/1879] lr: 7.1808e-05 eta: 1:01:08 time: 0.5130 data_time: 0.0330 memory: 18104 grad_norm: 7.7021 loss: 2.1417 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1721 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9696 2023/02/03 10:49:05 - mmengine - INFO - Epoch(train) [253][ 420/1879] lr: 7.1405e-05 eta: 1:00:58 time: 0.5149 data_time: 0.0395 memory: 18104 grad_norm: 7.8804 loss: 2.1135 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1807 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9328 2023/02/03 10:49:16 - mmengine - INFO - Epoch(train) [253][ 440/1879] lr: 7.1003e-05 eta: 1:00:48 time: 0.5097 data_time: 0.0346 memory: 18104 grad_norm: 7.5518 loss: 1.9598 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1206 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 0.8393 2023/02/03 10:49:26 - mmengine - INFO - Epoch(train) [253][ 460/1879] lr: 7.0602e-05 eta: 1:00:37 time: 0.5279 data_time: 0.0310 memory: 18104 grad_norm: 7.7621 loss: 2.1103 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.1925 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.9178 2023/02/03 10:49:36 - mmengine - INFO - Epoch(train) [253][ 480/1879] lr: 7.0203e-05 eta: 1:00:27 time: 0.5115 data_time: 0.0343 memory: 18104 grad_norm: 7.6852 loss: 2.1740 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.2830 top1_acc_1: 0.6471 top5_acc_1: 0.9176 loss_cls_1: 0.8909 2023/02/03 10:49:43 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 10:49:47 - mmengine - INFO - Epoch(train) [253][ 500/1879] lr: 6.9804e-05 eta: 1:00:17 time: 0.5089 data_time: 0.0320 memory: 18104 grad_norm: 7.7784 loss: 1.9087 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0024 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.9063 2023/02/03 10:49:57 - mmengine - INFO - Epoch(train) [253][ 520/1879] lr: 6.9407e-05 eta: 1:00:06 time: 0.5168 data_time: 0.0342 memory: 18104 grad_norm: 7.5252 loss: 1.9367 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.0203 top1_acc_1: 0.8471 top5_acc_1: 0.9647 loss_cls_1: 0.9164 2023/02/03 10:50:07 - mmengine - INFO - Epoch(train) [253][ 540/1879] lr: 6.9011e-05 eta: 0:59:56 time: 0.5191 data_time: 0.0335 memory: 18104 grad_norm: 7.5865 loss: 1.7392 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 0.8763 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 0.8629 2023/02/03 10:50:18 - mmengine - INFO - Epoch(train) [253][ 560/1879] lr: 6.8616e-05 eta: 0:59:46 time: 0.5111 data_time: 0.0409 memory: 18104 grad_norm: 7.7009 loss: 2.2336 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.3038 top1_acc_1: 0.8588 top5_acc_1: 0.9647 loss_cls_1: 0.9298 2023/02/03 10:50:28 - mmengine - INFO - Epoch(train) [253][ 580/1879] lr: 6.8222e-05 eta: 0:59:35 time: 0.5224 data_time: 0.0343 memory: 18104 grad_norm: 7.7583 loss: 2.0510 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1517 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.8993 2023/02/03 10:50:39 - mmengine - INFO - Epoch(train) [253][ 600/1879] lr: 6.7829e-05 eta: 0:59:25 time: 0.5205 data_time: 0.0332 memory: 18104 grad_norm: 7.6638 loss: 1.9515 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1296 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.8219 2023/02/03 10:50:49 - mmengine - INFO - Epoch(train) [253][ 620/1879] lr: 6.7438e-05 eta: 0:59:15 time: 0.5093 data_time: 0.0311 memory: 18104 grad_norm: 7.6783 loss: 2.0080 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1851 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.8229 2023/02/03 10:50:59 - mmengine - INFO - Epoch(train) [253][ 640/1879] lr: 6.7047e-05 eta: 0:59:04 time: 0.5108 data_time: 0.0330 memory: 18104 grad_norm: 7.6598 loss: 1.7589 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 0.8476 top1_acc_1: 0.7647 top5_acc_1: 0.8941 loss_cls_1: 0.9112 2023/02/03 10:51:10 - mmengine - INFO - Epoch(train) [253][ 660/1879] lr: 6.6658e-05 eta: 0:58:54 time: 0.5334 data_time: 0.0311 memory: 18104 grad_norm: 7.9221 loss: 1.8526 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 0.9813 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.8713 2023/02/03 10:51:20 - mmengine - INFO - Epoch(train) [253][ 680/1879] lr: 6.6270e-05 eta: 0:58:44 time: 0.5017 data_time: 0.0323 memory: 18104 grad_norm: 7.6308 loss: 1.9849 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.1217 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 0.8632 2023/02/03 10:51:30 - mmengine - INFO - Epoch(train) [253][ 700/1879] lr: 6.5883e-05 eta: 0:58:33 time: 0.5162 data_time: 0.0373 memory: 18104 grad_norm: 7.6474 loss: 2.1135 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1442 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.9693 2023/02/03 10:51:40 - mmengine - INFO - Epoch(train) [253][ 720/1879] lr: 6.5497e-05 eta: 0:58:23 time: 0.5122 data_time: 0.0346 memory: 18104 grad_norm: 7.6478 loss: 1.9019 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.0186 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 0.8833 2023/02/03 10:51:51 - mmengine - INFO - Epoch(train) [253][ 740/1879] lr: 6.5112e-05 eta: 0:58:13 time: 0.5209 data_time: 0.0320 memory: 18104 grad_norm: 7.6207 loss: 2.0918 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.2148 top1_acc_1: 0.9059 top5_acc_1: 0.9412 loss_cls_1: 0.8770 2023/02/03 10:52:01 - mmengine - INFO - Epoch(train) [253][ 760/1879] lr: 6.4728e-05 eta: 0:58:03 time: 0.5059 data_time: 0.0370 memory: 18104 grad_norm: 7.7049 loss: 1.9279 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0238 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9041 2023/02/03 10:52:12 - mmengine - INFO - Epoch(train) [253][ 780/1879] lr: 6.4346e-05 eta: 0:57:52 time: 0.5281 data_time: 0.0339 memory: 18104 grad_norm: 7.6133 loss: 2.0176 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0330 top1_acc_1: 0.8235 top5_acc_1: 0.8941 loss_cls_1: 0.9846 2023/02/03 10:52:22 - mmengine - INFO - Epoch(train) [253][ 800/1879] lr: 6.3964e-05 eta: 0:57:42 time: 0.5186 data_time: 0.0349 memory: 18104 grad_norm: 7.8200 loss: 1.9043 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 0.9933 top1_acc_1: 0.8118 top5_acc_1: 0.9765 loss_cls_1: 0.9111 2023/02/03 10:52:32 - mmengine - INFO - Epoch(train) [253][ 820/1879] lr: 6.3584e-05 eta: 0:57:32 time: 0.5245 data_time: 0.0358 memory: 18104 grad_norm: 7.7887 loss: 1.9056 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 0.9707 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9349 2023/02/03 10:52:43 - mmengine - INFO - Epoch(train) [253][ 840/1879] lr: 6.3205e-05 eta: 0:57:21 time: 0.5206 data_time: 0.0407 memory: 18104 grad_norm: 7.5567 loss: 2.0233 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0262 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.9971 2023/02/03 10:52:53 - mmengine - INFO - Epoch(train) [253][ 860/1879] lr: 6.2827e-05 eta: 0:57:11 time: 0.5182 data_time: 0.0295 memory: 18104 grad_norm: 7.5790 loss: 1.9019 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 0.9874 top1_acc_1: 0.8471 top5_acc_1: 0.9294 loss_cls_1: 0.9145 2023/02/03 10:53:04 - mmengine - INFO - Epoch(train) [253][ 880/1879] lr: 6.2450e-05 eta: 0:57:01 time: 0.5380 data_time: 0.0357 memory: 18104 grad_norm: 7.6478 loss: 2.0204 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0759 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9445 2023/02/03 10:53:15 - mmengine - INFO - Epoch(train) [253][ 900/1879] lr: 6.2074e-05 eta: 0:56:50 time: 0.5397 data_time: 0.0357 memory: 18104 grad_norm: 7.6647 loss: 1.9554 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0666 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.8888 2023/02/03 10:53:26 - mmengine - INFO - Epoch(train) [253][ 920/1879] lr: 6.1700e-05 eta: 0:56:40 time: 0.5364 data_time: 0.0398 memory: 18104 grad_norm: 7.6129 loss: 1.8736 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 0.9471 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9265 2023/02/03 10:53:36 - mmengine - INFO - Epoch(train) [253][ 940/1879] lr: 6.1326e-05 eta: 0:56:30 time: 0.5311 data_time: 0.0305 memory: 18104 grad_norm: 7.5861 loss: 1.9546 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.1189 top1_acc_1: 0.8588 top5_acc_1: 0.9294 loss_cls_1: 0.8357 2023/02/03 10:53:47 - mmengine - INFO - Epoch(train) [253][ 960/1879] lr: 6.0954e-05 eta: 0:56:20 time: 0.5135 data_time: 0.0384 memory: 18104 grad_norm: 7.7727 loss: 2.0445 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1512 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.8933 2023/02/03 10:53:58 - mmengine - INFO - Epoch(train) [253][ 980/1879] lr: 6.0583e-05 eta: 0:56:09 time: 0.5485 data_time: 0.0295 memory: 18104 grad_norm: 7.5417 loss: 1.8132 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 0.9310 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.8822 2023/02/03 10:54:08 - mmengine - INFO - Epoch(train) [253][1000/1879] lr: 6.0213e-05 eta: 0:55:59 time: 0.5185 data_time: 0.0373 memory: 18104 grad_norm: 7.6718 loss: 2.0502 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1861 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 0.8641 2023/02/03 10:54:19 - mmengine - INFO - Epoch(train) [253][1020/1879] lr: 5.9844e-05 eta: 0:55:49 time: 0.5397 data_time: 0.0361 memory: 18104 grad_norm: 7.8576 loss: 2.0532 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1996 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.8536 2023/02/03 10:54:29 - mmengine - INFO - Epoch(train) [253][1040/1879] lr: 5.9476e-05 eta: 0:55:38 time: 0.5328 data_time: 0.0350 memory: 18104 grad_norm: 7.6536 loss: 2.1782 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2478 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9304 2023/02/03 10:54:40 - mmengine - INFO - Epoch(train) [253][1060/1879] lr: 5.9109e-05 eta: 0:55:28 time: 0.5359 data_time: 0.0307 memory: 18104 grad_norm: 7.6657 loss: 2.0877 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1936 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.8940 2023/02/03 10:54:51 - mmengine - INFO - Epoch(train) [253][1080/1879] lr: 5.8744e-05 eta: 0:55:18 time: 0.5170 data_time: 0.0436 memory: 18104 grad_norm: 7.4208 loss: 1.8585 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 0.9587 top1_acc_1: 0.8235 top5_acc_1: 0.9765 loss_cls_1: 0.8998 2023/02/03 10:55:01 - mmengine - INFO - Epoch(train) [253][1100/1879] lr: 5.8379e-05 eta: 0:55:07 time: 0.5429 data_time: 0.0283 memory: 18104 grad_norm: 7.7007 loss: 1.9050 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 0.9638 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.9412 2023/02/03 10:55:12 - mmengine - INFO - Epoch(train) [253][1120/1879] lr: 5.8016e-05 eta: 0:54:57 time: 0.5071 data_time: 0.0362 memory: 18104 grad_norm: 7.6958 loss: 2.1083 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1594 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9489 2023/02/03 10:55:22 - mmengine - INFO - Epoch(train) [253][1140/1879] lr: 5.7654e-05 eta: 0:54:47 time: 0.5304 data_time: 0.0298 memory: 18104 grad_norm: 7.6136 loss: 2.0124 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.1733 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.8391 2023/02/03 10:55:33 - mmengine - INFO - Epoch(train) [253][1160/1879] lr: 5.7293e-05 eta: 0:54:37 time: 0.5295 data_time: 0.0317 memory: 18104 grad_norm: 7.6642 loss: 1.9519 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.0952 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.8567 2023/02/03 10:55:44 - mmengine - INFO - Epoch(train) [253][1180/1879] lr: 5.6933e-05 eta: 0:54:26 time: 0.5356 data_time: 0.0321 memory: 18104 grad_norm: 7.7563 loss: 2.1600 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2583 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.9018 2023/02/03 10:55:54 - mmengine - INFO - Epoch(train) [253][1200/1879] lr: 5.6574e-05 eta: 0:54:16 time: 0.5092 data_time: 0.0338 memory: 18104 grad_norm: 7.7155 loss: 1.9641 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.0070 top1_acc_1: 0.8235 top5_acc_1: 0.9765 loss_cls_1: 0.9571 2023/02/03 10:56:05 - mmengine - INFO - Epoch(train) [253][1220/1879] lr: 5.6217e-05 eta: 0:54:06 time: 0.5386 data_time: 0.0356 memory: 18104 grad_norm: 7.6782 loss: 1.8120 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 0.8930 top1_acc_1: 0.8706 top5_acc_1: 0.9294 loss_cls_1: 0.9191 2023/02/03 10:56:15 - mmengine - INFO - Epoch(train) [253][1240/1879] lr: 5.5860e-05 eta: 0:53:55 time: 0.5233 data_time: 0.0349 memory: 18104 grad_norm: 7.3934 loss: 1.9481 top1_acc_0: 0.5625 top5_acc_0: 0.6875 loss_cls_0: 1.1086 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.8395 2023/02/03 10:56:25 - mmengine - INFO - Epoch(train) [253][1260/1879] lr: 5.5505e-05 eta: 0:53:45 time: 0.5169 data_time: 0.0312 memory: 18104 grad_norm: 7.5669 loss: 2.0543 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.1606 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 0.8938 2023/02/03 10:56:36 - mmengine - INFO - Epoch(train) [253][1280/1879] lr: 5.5151e-05 eta: 0:53:35 time: 0.5145 data_time: 0.0336 memory: 18104 grad_norm: 7.7124 loss: 2.1578 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.3299 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.8279 2023/02/03 10:56:47 - mmengine - INFO - Epoch(train) [253][1300/1879] lr: 5.4798e-05 eta: 0:53:24 time: 0.5339 data_time: 0.0387 memory: 18104 grad_norm: 7.6923 loss: 1.7865 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 0.9563 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.8302 2023/02/03 10:56:57 - mmengine - INFO - Epoch(train) [253][1320/1879] lr: 5.4446e-05 eta: 0:53:14 time: 0.5187 data_time: 0.0350 memory: 18104 grad_norm: 7.7035 loss: 1.9370 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 0.9849 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9521 2023/02/03 10:57:07 - mmengine - INFO - Epoch(train) [253][1340/1879] lr: 5.4095e-05 eta: 0:53:04 time: 0.5230 data_time: 0.0333 memory: 18104 grad_norm: 7.6366 loss: 1.9009 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1050 top1_acc_1: 0.8118 top5_acc_1: 0.8941 loss_cls_1: 0.7959 2023/02/03 10:57:18 - mmengine - INFO - Epoch(train) [253][1360/1879] lr: 5.3745e-05 eta: 0:52:53 time: 0.5148 data_time: 0.0361 memory: 18104 grad_norm: 7.6950 loss: 2.0202 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1078 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.9123 2023/02/03 10:57:28 - mmengine - INFO - Epoch(train) [253][1380/1879] lr: 5.3397e-05 eta: 0:52:43 time: 0.5186 data_time: 0.0313 memory: 18104 grad_norm: 7.4640 loss: 2.0338 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1981 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.8357 2023/02/03 10:57:38 - mmengine - INFO - Epoch(train) [253][1400/1879] lr: 5.3049e-05 eta: 0:52:33 time: 0.5049 data_time: 0.0342 memory: 18104 grad_norm: 7.5796 loss: 1.8033 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 0.9713 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.8320 2023/02/03 10:57:49 - mmengine - INFO - Epoch(train) [253][1420/1879] lr: 5.2703e-05 eta: 0:52:23 time: 0.5452 data_time: 0.0390 memory: 18104 grad_norm: 7.9110 loss: 1.9343 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0964 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 0.8379 2023/02/03 10:57:59 - mmengine - INFO - Epoch(train) [253][1440/1879] lr: 5.2358e-05 eta: 0:52:12 time: 0.5080 data_time: 0.0345 memory: 18104 grad_norm: 7.7089 loss: 1.8766 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 0.9801 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.8965 2023/02/03 10:58:10 - mmengine - INFO - Epoch(train) [253][1460/1879] lr: 5.2014e-05 eta: 0:52:02 time: 0.5309 data_time: 0.0315 memory: 18104 grad_norm: 7.7456 loss: 2.1780 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.2669 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9111 2023/02/03 10:58:20 - mmengine - INFO - Epoch(train) [253][1480/1879] lr: 5.1671e-05 eta: 0:51:52 time: 0.5135 data_time: 0.0336 memory: 18104 grad_norm: 7.7742 loss: 1.9325 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 0.9927 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9398 2023/02/03 10:58:27 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 10:58:31 - mmengine - INFO - Epoch(train) [253][1500/1879] lr: 5.1329e-05 eta: 0:51:41 time: 0.5273 data_time: 0.0396 memory: 18104 grad_norm: 7.8124 loss: 1.8893 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 0.9910 top1_acc_1: 0.8235 top5_acc_1: 0.9647 loss_cls_1: 0.8983 2023/02/03 10:58:41 - mmengine - INFO - Epoch(train) [253][1520/1879] lr: 5.0989e-05 eta: 0:51:31 time: 0.5146 data_time: 0.0335 memory: 18104 grad_norm: 7.5029 loss: 2.0187 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.0915 top1_acc_1: 0.9059 top5_acc_1: 0.9647 loss_cls_1: 0.9272 2023/02/03 10:58:52 - mmengine - INFO - Epoch(train) [253][1540/1879] lr: 5.0649e-05 eta: 0:51:21 time: 0.5351 data_time: 0.0328 memory: 18104 grad_norm: 7.5932 loss: 2.0663 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1046 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 0.9617 2023/02/03 10:59:02 - mmengine - INFO - Epoch(train) [253][1560/1879] lr: 5.0311e-05 eta: 0:51:10 time: 0.5175 data_time: 0.0428 memory: 18104 grad_norm: 7.7938 loss: 2.0676 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.2271 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.8405 2023/02/03 10:59:13 - mmengine - INFO - Epoch(train) [253][1580/1879] lr: 4.9974e-05 eta: 0:51:00 time: 0.5333 data_time: 0.0327 memory: 18104 grad_norm: 7.8767 loss: 2.0968 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.2301 top1_acc_1: 0.8118 top5_acc_1: 0.9647 loss_cls_1: 0.8667 2023/02/03 10:59:23 - mmengine - INFO - Epoch(train) [253][1600/1879] lr: 4.9638e-05 eta: 0:50:50 time: 0.5213 data_time: 0.0368 memory: 18104 grad_norm: 7.7042 loss: 1.9662 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.1008 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 0.8653 2023/02/03 10:59:35 - mmengine - INFO - Epoch(train) [253][1620/1879] lr: 4.9303e-05 eta: 0:50:40 time: 0.5584 data_time: 0.0378 memory: 18104 grad_norm: 7.7601 loss: 2.1074 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.1990 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 0.9084 2023/02/03 10:59:45 - mmengine - INFO - Epoch(train) [253][1640/1879] lr: 4.8969e-05 eta: 0:50:29 time: 0.5199 data_time: 0.0347 memory: 18104 grad_norm: 7.6186 loss: 1.8040 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 0.9351 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.8688 2023/02/03 10:59:56 - mmengine - INFO - Epoch(train) [253][1660/1879] lr: 4.8636e-05 eta: 0:50:19 time: 0.5577 data_time: 0.0320 memory: 18104 grad_norm: 7.6278 loss: 2.1406 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2277 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9129 2023/02/03 11:00:07 - mmengine - INFO - Epoch(train) [253][1680/1879] lr: 4.8305e-05 eta: 0:50:09 time: 0.5529 data_time: 0.0345 memory: 18104 grad_norm: 7.7035 loss: 2.1006 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2128 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.8879 2023/02/03 11:00:19 - mmengine - INFO - Epoch(train) [253][1700/1879] lr: 4.7974e-05 eta: 0:49:58 time: 0.5633 data_time: 0.0453 memory: 18104 grad_norm: 7.5928 loss: 1.9757 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0122 top1_acc_1: 0.8118 top5_acc_1: 0.8941 loss_cls_1: 0.9635 2023/02/03 11:00:29 - mmengine - INFO - Epoch(train) [253][1720/1879] lr: 4.7645e-05 eta: 0:49:48 time: 0.5420 data_time: 0.0365 memory: 18104 grad_norm: 7.6340 loss: 1.9981 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1233 top1_acc_1: 0.8471 top5_acc_1: 0.9647 loss_cls_1: 0.8748 2023/02/03 11:00:41 - mmengine - INFO - Epoch(train) [253][1740/1879] lr: 4.7317e-05 eta: 0:49:38 time: 0.5520 data_time: 0.0343 memory: 18104 grad_norm: 7.4697 loss: 1.9518 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0448 top1_acc_1: 0.7882 top5_acc_1: 0.9647 loss_cls_1: 0.9070 2023/02/03 11:00:51 - mmengine - INFO - Epoch(train) [253][1760/1879] lr: 4.6990e-05 eta: 0:49:28 time: 0.5197 data_time: 0.0348 memory: 18104 grad_norm: 7.5897 loss: 2.0810 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.1469 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 0.9340 2023/02/03 11:01:02 - mmengine - INFO - Epoch(train) [253][1780/1879] lr: 4.6664e-05 eta: 0:49:17 time: 0.5337 data_time: 0.0315 memory: 18104 grad_norm: 7.8397 loss: 1.8866 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 0.9887 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.8979 2023/02/03 11:01:13 - mmengine - INFO - Epoch(train) [253][1800/1879] lr: 4.6339e-05 eta: 0:49:07 time: 0.5539 data_time: 0.0338 memory: 18104 grad_norm: 7.5937 loss: 1.9771 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1014 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.8757 2023/02/03 11:01:24 - mmengine - INFO - Epoch(train) [253][1820/1879] lr: 4.6016e-05 eta: 0:48:57 time: 0.5387 data_time: 0.0321 memory: 18104 grad_norm: 7.4961 loss: 1.9298 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.0484 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.8814 2023/02/03 11:01:34 - mmengine - INFO - Epoch(train) [253][1840/1879] lr: 4.5693e-05 eta: 0:48:46 time: 0.5373 data_time: 0.0414 memory: 18104 grad_norm: 7.7334 loss: 1.9998 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1109 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 0.8889 2023/02/03 11:01:45 - mmengine - INFO - Epoch(train) [253][1860/1879] lr: 4.5372e-05 eta: 0:48:36 time: 0.5504 data_time: 0.0316 memory: 18104 grad_norm: 7.3951 loss: 1.9641 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1028 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.8613 2023/02/03 11:01:55 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 11:01:55 - mmengine - INFO - Epoch(train) [253][1879/1879] lr: 4.5068e-05 eta: 0:48:26 time: 0.5191 data_time: 0.0308 memory: 18104 grad_norm: 8.1002 loss: 1.9538 top1_acc_0: 0.5714 top5_acc_0: 0.7143 loss_cls_0: 1.1285 top1_acc_1: 0.8706 top5_acc_1: 0.9294 loss_cls_1: 0.8253 2023/02/03 11:02:10 - mmengine - INFO - Epoch(train) [254][ 20/1879] lr: 4.4749e-05 eta: 0:48:16 time: 0.7262 data_time: 0.2590 memory: 18104 grad_norm: 7.6064 loss: 1.7987 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 0.9931 top1_acc_1: 0.7294 top5_acc_1: 0.8941 loss_cls_1: 0.8057 2023/02/03 11:02:20 - mmengine - INFO - Epoch(train) [254][ 40/1879] lr: 4.4431e-05 eta: 0:48:06 time: 0.4809 data_time: 0.0303 memory: 18104 grad_norm: 7.6097 loss: 2.1431 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2466 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.8965 2023/02/03 11:02:30 - mmengine - INFO - Epoch(train) [254][ 60/1879] lr: 4.4114e-05 eta: 0:47:55 time: 0.4919 data_time: 0.0361 memory: 18104 grad_norm: 7.5523 loss: 2.1352 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2563 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.8789 2023/02/03 11:02:40 - mmengine - INFO - Epoch(train) [254][ 80/1879] lr: 4.3798e-05 eta: 0:47:45 time: 0.5279 data_time: 0.0391 memory: 18104 grad_norm: 7.6974 loss: 2.0152 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1605 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.8547 2023/02/03 11:02:50 - mmengine - INFO - Epoch(train) [254][ 100/1879] lr: 4.3483e-05 eta: 0:47:35 time: 0.4913 data_time: 0.0365 memory: 18104 grad_norm: 7.6187 loss: 1.8851 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 0.9613 top1_acc_1: 0.7176 top5_acc_1: 0.8824 loss_cls_1: 0.9238 2023/02/03 11:03:00 - mmengine - INFO - Epoch(train) [254][ 120/1879] lr: 4.3170e-05 eta: 0:47:24 time: 0.4808 data_time: 0.0325 memory: 18104 grad_norm: 7.5153 loss: 2.1311 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.2617 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.8694 2023/02/03 11:03:11 - mmengine - INFO - Epoch(train) [254][ 140/1879] lr: 4.2858e-05 eta: 0:47:14 time: 0.5302 data_time: 0.0338 memory: 18104 grad_norm: 7.6722 loss: 1.8680 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0320 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.8360 2023/02/03 11:03:21 - mmengine - INFO - Epoch(train) [254][ 160/1879] lr: 4.2546e-05 eta: 0:47:04 time: 0.5130 data_time: 0.0384 memory: 18104 grad_norm: 7.6664 loss: 2.1435 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2339 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9096 2023/02/03 11:03:31 - mmengine - INFO - Epoch(train) [254][ 180/1879] lr: 4.2236e-05 eta: 0:46:53 time: 0.5062 data_time: 0.0354 memory: 18104 grad_norm: 7.5464 loss: 1.9736 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.1370 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.8367 2023/02/03 11:03:41 - mmengine - INFO - Epoch(train) [254][ 200/1879] lr: 4.1927e-05 eta: 0:46:43 time: 0.5052 data_time: 0.0325 memory: 18104 grad_norm: 7.5496 loss: 1.8564 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 0.9736 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.8828 2023/02/03 11:03:52 - mmengine - INFO - Epoch(train) [254][ 220/1879] lr: 4.1620e-05 eta: 0:46:33 time: 0.5263 data_time: 0.0361 memory: 18104 grad_norm: 7.5222 loss: 1.8939 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0204 top1_acc_1: 0.8471 top5_acc_1: 0.9765 loss_cls_1: 0.8735 2023/02/03 11:04:02 - mmengine - INFO - Epoch(train) [254][ 240/1879] lr: 4.1313e-05 eta: 0:46:23 time: 0.4997 data_time: 0.0391 memory: 18104 grad_norm: 7.7917 loss: 2.0697 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1653 top1_acc_1: 0.6941 top5_acc_1: 0.8235 loss_cls_1: 0.9044 2023/02/03 11:04:12 - mmengine - INFO - Epoch(train) [254][ 260/1879] lr: 4.1007e-05 eta: 0:46:12 time: 0.5053 data_time: 0.0358 memory: 18104 grad_norm: 7.6427 loss: 1.9059 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0053 top1_acc_1: 0.8588 top5_acc_1: 0.9529 loss_cls_1: 0.9006 2023/02/03 11:04:22 - mmengine - INFO - Epoch(train) [254][ 280/1879] lr: 4.0703e-05 eta: 0:46:02 time: 0.5087 data_time: 0.0317 memory: 18104 grad_norm: 7.5491 loss: 1.8860 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0164 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 0.8696 2023/02/03 11:04:32 - mmengine - INFO - Epoch(train) [254][ 300/1879] lr: 4.0400e-05 eta: 0:45:52 time: 0.5103 data_time: 0.0431 memory: 18104 grad_norm: 7.4124 loss: 2.0580 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1254 top1_acc_1: 0.8235 top5_acc_1: 0.9059 loss_cls_1: 0.9326 2023/02/03 11:04:42 - mmengine - INFO - Epoch(train) [254][ 320/1879] lr: 4.0098e-05 eta: 0:45:41 time: 0.4920 data_time: 0.0316 memory: 18104 grad_norm: 7.8687 loss: 1.9010 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.0080 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 0.8930 2023/02/03 11:04:52 - mmengine - INFO - Epoch(train) [254][ 340/1879] lr: 3.9797e-05 eta: 0:45:31 time: 0.5124 data_time: 0.0352 memory: 18104 grad_norm: 7.6362 loss: 2.0312 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1433 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.8879 2023/02/03 11:05:03 - mmengine - INFO - Epoch(train) [254][ 360/1879] lr: 3.9497e-05 eta: 0:45:21 time: 0.5085 data_time: 0.0331 memory: 18104 grad_norm: 7.8409 loss: 2.0342 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1249 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.9093 2023/02/03 11:05:13 - mmengine - INFO - Epoch(train) [254][ 380/1879] lr: 3.9198e-05 eta: 0:45:10 time: 0.5123 data_time: 0.0345 memory: 18104 grad_norm: 7.6058 loss: 2.0824 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1393 top1_acc_1: 0.8706 top5_acc_1: 0.8941 loss_cls_1: 0.9431 2023/02/03 11:05:23 - mmengine - INFO - Epoch(train) [254][ 400/1879] lr: 3.8900e-05 eta: 0:45:00 time: 0.4926 data_time: 0.0327 memory: 18104 grad_norm: 7.8183 loss: 2.0736 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1985 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.8751 2023/02/03 11:05:33 - mmengine - INFO - Epoch(train) [254][ 420/1879] lr: 3.8604e-05 eta: 0:44:50 time: 0.5374 data_time: 0.0349 memory: 18104 grad_norm: 7.6300 loss: 1.9094 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 0.9697 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9397 2023/02/03 11:05:43 - mmengine - INFO - Epoch(train) [254][ 440/1879] lr: 3.8309e-05 eta: 0:44:39 time: 0.4975 data_time: 0.0316 memory: 18104 grad_norm: 7.7496 loss: 1.9679 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.0713 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 0.8966 2023/02/03 11:05:54 - mmengine - INFO - Epoch(train) [254][ 460/1879] lr: 3.8015e-05 eta: 0:44:29 time: 0.5213 data_time: 0.0415 memory: 18104 grad_norm: 7.5835 loss: 1.8898 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0434 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 0.8464 2023/02/03 11:06:04 - mmengine - INFO - Epoch(train) [254][ 480/1879] lr: 3.7721e-05 eta: 0:44:19 time: 0.5100 data_time: 0.0301 memory: 18104 grad_norm: 7.9800 loss: 2.0590 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0941 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9649 2023/02/03 11:06:15 - mmengine - INFO - Epoch(train) [254][ 500/1879] lr: 3.7430e-05 eta: 0:44:08 time: 0.5238 data_time: 0.0339 memory: 18104 grad_norm: 7.5534 loss: 1.9965 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.1353 top1_acc_1: 0.7294 top5_acc_1: 0.9647 loss_cls_1: 0.8612 2023/02/03 11:06:25 - mmengine - INFO - Epoch(train) [254][ 520/1879] lr: 3.7139e-05 eta: 0:43:58 time: 0.5134 data_time: 0.0297 memory: 18104 grad_norm: 7.6381 loss: 1.8710 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.0157 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.8553 2023/02/03 11:06:35 - mmengine - INFO - Epoch(train) [254][ 540/1879] lr: 3.6849e-05 eta: 0:43:48 time: 0.5286 data_time: 0.0410 memory: 18104 grad_norm: 7.6238 loss: 1.9381 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1072 top1_acc_1: 0.8706 top5_acc_1: 0.9765 loss_cls_1: 0.8310 2023/02/03 11:06:46 - mmengine - INFO - Epoch(train) [254][ 560/1879] lr: 3.6561e-05 eta: 0:43:37 time: 0.5152 data_time: 0.0298 memory: 18104 grad_norm: 7.7361 loss: 1.8408 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 0.9107 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9301 2023/02/03 11:06:56 - mmengine - INFO - Epoch(train) [254][ 580/1879] lr: 3.6273e-05 eta: 0:43:27 time: 0.5290 data_time: 0.0335 memory: 18104 grad_norm: 7.6817 loss: 1.8726 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 0.9750 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 0.8976 2023/02/03 11:07:07 - mmengine - INFO - Epoch(train) [254][ 600/1879] lr: 3.5987e-05 eta: 0:43:17 time: 0.5219 data_time: 0.0332 memory: 18104 grad_norm: 7.6466 loss: 2.1560 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.1625 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9935 2023/02/03 11:07:14 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 11:07:18 - mmengine - INFO - Epoch(train) [254][ 620/1879] lr: 3.5702e-05 eta: 0:43:07 time: 0.5305 data_time: 0.0407 memory: 18104 grad_norm: 7.8247 loss: 2.0773 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2102 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 0.8671 2023/02/03 11:07:28 - mmengine - INFO - Epoch(train) [254][ 640/1879] lr: 3.5418e-05 eta: 0:42:56 time: 0.5155 data_time: 0.0311 memory: 18104 grad_norm: 7.5621 loss: 1.8898 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0319 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.8579 2023/02/03 11:07:38 - mmengine - INFO - Epoch(train) [254][ 660/1879] lr: 3.5135e-05 eta: 0:42:46 time: 0.5164 data_time: 0.0340 memory: 18104 grad_norm: 7.7503 loss: 2.1591 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1929 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9662 2023/02/03 11:07:49 - mmengine - INFO - Epoch(train) [254][ 680/1879] lr: 3.4853e-05 eta: 0:42:36 time: 0.5284 data_time: 0.0329 memory: 18104 grad_norm: 7.4204 loss: 1.9697 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.0481 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9215 2023/02/03 11:07:59 - mmengine - INFO - Epoch(train) [254][ 700/1879] lr: 3.4573e-05 eta: 0:42:25 time: 0.5196 data_time: 0.0350 memory: 18104 grad_norm: 7.7581 loss: 1.8779 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0177 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.8602 2023/02/03 11:08:10 - mmengine - INFO - Epoch(train) [254][ 720/1879] lr: 3.4293e-05 eta: 0:42:15 time: 0.5203 data_time: 0.0308 memory: 18104 grad_norm: 7.5634 loss: 2.0100 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.0739 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.9361 2023/02/03 11:08:20 - mmengine - INFO - Epoch(train) [254][ 740/1879] lr: 3.4015e-05 eta: 0:42:05 time: 0.5263 data_time: 0.0357 memory: 18104 grad_norm: 7.8078 loss: 2.0479 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1261 top1_acc_1: 0.7882 top5_acc_1: 0.8706 loss_cls_1: 0.9218 2023/02/03 11:08:31 - mmengine - INFO - Epoch(train) [254][ 760/1879] lr: 3.3738e-05 eta: 0:41:54 time: 0.5217 data_time: 0.0357 memory: 18104 grad_norm: 7.7552 loss: 2.0497 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.1393 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 0.9104 2023/02/03 11:08:41 - mmengine - INFO - Epoch(train) [254][ 780/1879] lr: 3.3462e-05 eta: 0:41:44 time: 0.5158 data_time: 0.0356 memory: 18104 grad_norm: 7.6689 loss: 2.0595 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.1942 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.8654 2023/02/03 11:08:51 - mmengine - INFO - Epoch(train) [254][ 800/1879] lr: 3.3187e-05 eta: 0:41:34 time: 0.5043 data_time: 0.0317 memory: 18104 grad_norm: 7.6756 loss: 1.8838 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 0.9425 top1_acc_1: 0.6941 top5_acc_1: 0.8353 loss_cls_1: 0.9413 2023/02/03 11:09:02 - mmengine - INFO - Epoch(train) [254][ 820/1879] lr: 3.2913e-05 eta: 0:41:23 time: 0.5260 data_time: 0.0327 memory: 18104 grad_norm: 7.6194 loss: 2.1058 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2598 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 0.8460 2023/02/03 11:09:12 - mmengine - INFO - Epoch(train) [254][ 840/1879] lr: 3.2640e-05 eta: 0:41:13 time: 0.5023 data_time: 0.0383 memory: 18104 grad_norm: 7.6508 loss: 1.9171 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 0.9811 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 0.9360 2023/02/03 11:09:22 - mmengine - INFO - Epoch(train) [254][ 860/1879] lr: 3.2369e-05 eta: 0:41:03 time: 0.5113 data_time: 0.0358 memory: 18104 grad_norm: 7.7860 loss: 2.0703 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1593 top1_acc_1: 0.7294 top5_acc_1: 0.9294 loss_cls_1: 0.9109 2023/02/03 11:09:32 - mmengine - INFO - Epoch(train) [254][ 880/1879] lr: 3.2098e-05 eta: 0:40:53 time: 0.5167 data_time: 0.0306 memory: 18104 grad_norm: 7.6275 loss: 1.8884 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0065 top1_acc_1: 0.7412 top5_acc_1: 0.9294 loss_cls_1: 0.8818 2023/02/03 11:09:43 - mmengine - INFO - Epoch(train) [254][ 900/1879] lr: 3.1829e-05 eta: 0:40:42 time: 0.5315 data_time: 0.0406 memory: 18104 grad_norm: 7.5582 loss: 1.9721 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.1029 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 0.8692 2023/02/03 11:09:53 - mmengine - INFO - Epoch(train) [254][ 920/1879] lr: 3.1561e-05 eta: 0:40:32 time: 0.5204 data_time: 0.0302 memory: 18104 grad_norm: 7.5803 loss: 1.9907 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1416 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 0.8491 2023/02/03 11:10:04 - mmengine - INFO - Epoch(train) [254][ 940/1879] lr: 3.1294e-05 eta: 0:40:22 time: 0.5241 data_time: 0.0341 memory: 18104 grad_norm: 7.7280 loss: 2.0507 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.1391 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9115 2023/02/03 11:10:15 - mmengine - INFO - Epoch(train) [254][ 960/1879] lr: 3.1028e-05 eta: 0:40:11 time: 0.5468 data_time: 0.0320 memory: 18104 grad_norm: 7.5166 loss: 1.9297 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.0230 top1_acc_1: 0.7882 top5_acc_1: 0.9765 loss_cls_1: 0.9067 2023/02/03 11:10:25 - mmengine - INFO - Epoch(train) [254][ 980/1879] lr: 3.0763e-05 eta: 0:40:01 time: 0.5260 data_time: 0.0424 memory: 18104 grad_norm: 7.4748 loss: 1.9153 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0057 top1_acc_1: 0.7412 top5_acc_1: 0.8588 loss_cls_1: 0.9096 2023/02/03 11:10:36 - mmengine - INFO - Epoch(train) [254][1000/1879] lr: 3.0500e-05 eta: 0:39:51 time: 0.5268 data_time: 0.0311 memory: 18104 grad_norm: 7.5286 loss: 2.1646 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.3402 top1_acc_1: 0.8471 top5_acc_1: 0.9412 loss_cls_1: 0.8244 2023/02/03 11:10:47 - mmengine - INFO - Epoch(train) [254][1020/1879] lr: 3.0237e-05 eta: 0:39:40 time: 0.5429 data_time: 0.0346 memory: 18104 grad_norm: 7.5514 loss: 1.9506 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0750 top1_acc_1: 0.6941 top5_acc_1: 0.9412 loss_cls_1: 0.8756 2023/02/03 11:10:57 - mmengine - INFO - Epoch(train) [254][1040/1879] lr: 2.9976e-05 eta: 0:39:30 time: 0.5245 data_time: 0.0310 memory: 18104 grad_norm: 7.4628 loss: 2.0949 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2074 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.8875 2023/02/03 11:11:08 - mmengine - INFO - Epoch(train) [254][1060/1879] lr: 2.9716e-05 eta: 0:39:20 time: 0.5333 data_time: 0.0403 memory: 18104 grad_norm: 7.6586 loss: 1.9767 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1088 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.8680 2023/02/03 11:11:19 - mmengine - INFO - Epoch(train) [254][1080/1879] lr: 2.9457e-05 eta: 0:39:09 time: 0.5342 data_time: 0.0319 memory: 18104 grad_norm: 7.6185 loss: 1.9840 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0941 top1_acc_1: 0.6471 top5_acc_1: 0.9176 loss_cls_1: 0.8899 2023/02/03 11:11:29 - mmengine - INFO - Epoch(train) [254][1100/1879] lr: 2.9199e-05 eta: 0:38:59 time: 0.5283 data_time: 0.0346 memory: 18104 grad_norm: 7.4991 loss: 1.8404 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 0.9717 top1_acc_1: 0.6941 top5_acc_1: 0.9176 loss_cls_1: 0.8687 2023/02/03 11:11:40 - mmengine - INFO - Epoch(train) [254][1120/1879] lr: 2.8942e-05 eta: 0:38:49 time: 0.5290 data_time: 0.0307 memory: 18104 grad_norm: 7.6475 loss: 2.0081 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0958 top1_acc_1: 0.8471 top5_acc_1: 0.9059 loss_cls_1: 0.9123 2023/02/03 11:11:51 - mmengine - INFO - Epoch(train) [254][1140/1879] lr: 2.8687e-05 eta: 0:38:39 time: 0.5372 data_time: 0.0410 memory: 18104 grad_norm: 7.6344 loss: 2.2073 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.2725 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.9348 2023/02/03 11:12:01 - mmengine - INFO - Epoch(train) [254][1160/1879] lr: 2.8432e-05 eta: 0:38:28 time: 0.5333 data_time: 0.0304 memory: 18104 grad_norm: 7.7099 loss: 2.0254 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.0438 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9816 2023/02/03 11:12:12 - mmengine - INFO - Epoch(train) [254][1180/1879] lr: 2.8179e-05 eta: 0:38:18 time: 0.5267 data_time: 0.0330 memory: 18104 grad_norm: 7.9436 loss: 1.8648 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 0.9615 top1_acc_1: 0.8824 top5_acc_1: 0.9529 loss_cls_1: 0.9032 2023/02/03 11:12:23 - mmengine - INFO - Epoch(train) [254][1200/1879] lr: 2.7926e-05 eta: 0:38:08 time: 0.5321 data_time: 0.0320 memory: 18104 grad_norm: 7.5934 loss: 1.9797 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0683 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9114 2023/02/03 11:12:33 - mmengine - INFO - Epoch(train) [254][1220/1879] lr: 2.7675e-05 eta: 0:37:57 time: 0.5373 data_time: 0.0416 memory: 18104 grad_norm: 7.5936 loss: 1.9491 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.0213 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.9278 2023/02/03 11:12:44 - mmengine - INFO - Epoch(train) [254][1240/1879] lr: 2.7425e-05 eta: 0:37:47 time: 0.5247 data_time: 0.0332 memory: 18104 grad_norm: 7.7607 loss: 2.0747 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1849 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.8898 2023/02/03 11:12:55 - mmengine - INFO - Epoch(train) [254][1260/1879] lr: 2.7176e-05 eta: 0:37:37 time: 0.5334 data_time: 0.0345 memory: 18104 grad_norm: 7.6926 loss: 1.9999 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.1383 top1_acc_1: 0.8235 top5_acc_1: 0.9647 loss_cls_1: 0.8616 2023/02/03 11:13:05 - mmengine - INFO - Epoch(train) [254][1280/1879] lr: 2.6929e-05 eta: 0:37:26 time: 0.5348 data_time: 0.0421 memory: 18104 grad_norm: 7.7026 loss: 1.9531 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0512 top1_acc_1: 0.6706 top5_acc_1: 0.8118 loss_cls_1: 0.9019 2023/02/03 11:13:16 - mmengine - INFO - Epoch(train) [254][1300/1879] lr: 2.6682e-05 eta: 0:37:16 time: 0.5236 data_time: 0.0310 memory: 18104 grad_norm: 7.9080 loss: 2.1123 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1669 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.9453 2023/02/03 11:13:26 - mmengine - INFO - Epoch(train) [254][1320/1879] lr: 2.6437e-05 eta: 0:37:06 time: 0.5256 data_time: 0.0339 memory: 18104 grad_norm: 7.8412 loss: 1.8695 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.0250 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 0.8445 2023/02/03 11:13:37 - mmengine - INFO - Epoch(train) [254][1340/1879] lr: 2.6192e-05 eta: 0:36:56 time: 0.5347 data_time: 0.0333 memory: 18104 grad_norm: 7.5960 loss: 1.9067 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0259 top1_acc_1: 0.8118 top5_acc_1: 0.9647 loss_cls_1: 0.8809 2023/02/03 11:13:48 - mmengine - INFO - Epoch(train) [254][1360/1879] lr: 2.5949e-05 eta: 0:36:45 time: 0.5287 data_time: 0.0395 memory: 18104 grad_norm: 7.5167 loss: 1.9593 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0656 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.8937 2023/02/03 11:13:58 - mmengine - INFO - Epoch(train) [254][1380/1879] lr: 2.5707e-05 eta: 0:36:35 time: 0.5205 data_time: 0.0338 memory: 18104 grad_norm: 7.7354 loss: 2.0305 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.2030 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.8275 2023/02/03 11:14:09 - mmengine - INFO - Epoch(train) [254][1400/1879] lr: 2.5466e-05 eta: 0:36:25 time: 0.5433 data_time: 0.0334 memory: 18104 grad_norm: 7.6612 loss: 1.8051 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 0.9408 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.8643 2023/02/03 11:14:19 - mmengine - INFO - Epoch(train) [254][1420/1879] lr: 2.5226e-05 eta: 0:36:14 time: 0.5216 data_time: 0.0324 memory: 18104 grad_norm: 7.6237 loss: 1.8261 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 0.9921 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 0.8340 2023/02/03 11:14:30 - mmengine - INFO - Epoch(train) [254][1440/1879] lr: 2.4988e-05 eta: 0:36:04 time: 0.5233 data_time: 0.0388 memory: 18104 grad_norm: 7.4921 loss: 1.7713 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 0.9146 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 0.8567 2023/02/03 11:14:41 - mmengine - INFO - Epoch(train) [254][1460/1879] lr: 2.4750e-05 eta: 0:35:54 time: 0.5273 data_time: 0.0327 memory: 18104 grad_norm: 7.4183 loss: 1.9997 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1390 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 0.8607 2023/02/03 11:14:51 - mmengine - INFO - Epoch(train) [254][1480/1879] lr: 2.4514e-05 eta: 0:35:43 time: 0.5196 data_time: 0.0341 memory: 18104 grad_norm: 7.5512 loss: 2.0752 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1362 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 0.9390 2023/02/03 11:15:01 - mmengine - INFO - Epoch(train) [254][1500/1879] lr: 2.4279e-05 eta: 0:35:33 time: 0.5184 data_time: 0.0381 memory: 18104 grad_norm: 7.5913 loss: 1.9909 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0189 top1_acc_1: 0.8118 top5_acc_1: 0.9647 loss_cls_1: 0.9720 2023/02/03 11:15:12 - mmengine - INFO - Epoch(train) [254][1520/1879] lr: 2.4045e-05 eta: 0:35:23 time: 0.5345 data_time: 0.0309 memory: 18104 grad_norm: 7.7489 loss: 2.0703 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.1590 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9113 2023/02/03 11:15:23 - mmengine - INFO - Epoch(train) [254][1540/1879] lr: 2.3812e-05 eta: 0:35:12 time: 0.5256 data_time: 0.0351 memory: 18104 grad_norm: 7.5992 loss: 2.0649 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1682 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.8968 2023/02/03 11:15:33 - mmengine - INFO - Epoch(train) [254][1560/1879] lr: 2.3580e-05 eta: 0:35:02 time: 0.5214 data_time: 0.0309 memory: 18104 grad_norm: 7.5775 loss: 1.9304 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 0.9826 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 0.9478 2023/02/03 11:15:44 - mmengine - INFO - Epoch(train) [254][1580/1879] lr: 2.3349e-05 eta: 0:34:52 time: 0.5404 data_time: 0.0443 memory: 18104 grad_norm: 7.7524 loss: 1.9750 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0733 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9016 2023/02/03 11:15:54 - mmengine - INFO - Epoch(train) [254][1600/1879] lr: 2.3120e-05 eta: 0:34:42 time: 0.5248 data_time: 0.0310 memory: 18104 grad_norm: 7.7180 loss: 1.8064 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 0.9186 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.8878 2023/02/03 11:16:01 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 11:16:05 - mmengine - INFO - Epoch(train) [254][1620/1879] lr: 2.2891e-05 eta: 0:34:31 time: 0.5179 data_time: 0.0364 memory: 18104 grad_norm: 7.8058 loss: 1.8890 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0475 top1_acc_1: 0.7059 top5_acc_1: 0.9765 loss_cls_1: 0.8416 2023/02/03 11:16:15 - mmengine - INFO - Epoch(train) [254][1640/1879] lr: 2.2664e-05 eta: 0:34:21 time: 0.5265 data_time: 0.0310 memory: 18104 grad_norm: 7.6236 loss: 2.0273 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.1920 top1_acc_1: 0.8471 top5_acc_1: 0.9765 loss_cls_1: 0.8353 2023/02/03 11:16:26 - mmengine - INFO - Epoch(train) [254][1660/1879] lr: 2.2438e-05 eta: 0:34:11 time: 0.5282 data_time: 0.0443 memory: 18104 grad_norm: 7.5343 loss: 2.1343 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2226 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9117 2023/02/03 11:16:36 - mmengine - INFO - Epoch(train) [254][1680/1879] lr: 2.2213e-05 eta: 0:34:00 time: 0.5142 data_time: 0.0335 memory: 18104 grad_norm: 7.6087 loss: 2.1549 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.2686 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 0.8863 2023/02/03 11:16:46 - mmengine - INFO - Epoch(train) [254][1700/1879] lr: 2.1989e-05 eta: 0:33:50 time: 0.5084 data_time: 0.0392 memory: 18104 grad_norm: 7.7497 loss: 2.1472 top1_acc_0: 0.3750 top5_acc_0: 0.5000 loss_cls_0: 1.2542 top1_acc_1: 0.8235 top5_acc_1: 0.9176 loss_cls_1: 0.8930 2023/02/03 11:16:57 - mmengine - INFO - Epoch(train) [254][1720/1879] lr: 2.1766e-05 eta: 0:33:40 time: 0.5308 data_time: 0.0408 memory: 18104 grad_norm: 7.7994 loss: 2.0143 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 1.1406 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.8737 2023/02/03 11:17:08 - mmengine - INFO - Epoch(train) [254][1740/1879] lr: 2.1544e-05 eta: 0:33:29 time: 0.5209 data_time: 0.0381 memory: 18104 grad_norm: 7.6084 loss: 1.9459 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0261 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9198 2023/02/03 11:17:18 - mmengine - INFO - Epoch(train) [254][1760/1879] lr: 2.1324e-05 eta: 0:33:19 time: 0.5241 data_time: 0.0349 memory: 18104 grad_norm: 7.6629 loss: 2.0552 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.1487 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9064 2023/02/03 11:17:28 - mmengine - INFO - Epoch(train) [254][1780/1879] lr: 2.1104e-05 eta: 0:33:09 time: 0.5170 data_time: 0.0307 memory: 18104 grad_norm: 7.4422 loss: 1.9371 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0125 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9245 2023/02/03 11:17:39 - mmengine - INFO - Epoch(train) [254][1800/1879] lr: 2.0886e-05 eta: 0:32:58 time: 0.5321 data_time: 0.0433 memory: 18104 grad_norm: 7.6881 loss: 1.7176 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 0.8624 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.8552 2023/02/03 11:17:49 - mmengine - INFO - Epoch(train) [254][1820/1879] lr: 2.0669e-05 eta: 0:32:48 time: 0.5203 data_time: 0.0303 memory: 18104 grad_norm: 7.5120 loss: 1.9298 top1_acc_0: 0.5000 top5_acc_0: 0.8750 loss_cls_0: 1.0301 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 0.8997 2023/02/03 11:18:00 - mmengine - INFO - Epoch(train) [254][1840/1879] lr: 2.0453e-05 eta: 0:32:38 time: 0.5150 data_time: 0.0378 memory: 18104 grad_norm: 7.6346 loss: 2.1186 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2110 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 0.9076 2023/02/03 11:18:11 - mmengine - INFO - Epoch(train) [254][1860/1879] lr: 2.0238e-05 eta: 0:32:27 time: 0.5382 data_time: 0.0367 memory: 18104 grad_norm: 7.4919 loss: 2.1561 top1_acc_0: 0.5000 top5_acc_0: 0.6875 loss_cls_0: 1.1990 top1_acc_1: 0.7765 top5_acc_1: 0.9059 loss_cls_1: 0.9572 2023/02/03 11:18:20 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 11:18:20 - mmengine - INFO - Epoch(train) [254][1879/1879] lr: 2.0035e-05 eta: 0:32:18 time: 0.4906 data_time: 0.0317 memory: 18104 grad_norm: 8.0448 loss: 2.1493 top1_acc_0: 0.7143 top5_acc_0: 0.7143 loss_cls_0: 1.2190 top1_acc_1: 0.8000 top5_acc_1: 0.9529 loss_cls_1: 0.9303 2023/02/03 11:18:35 - mmengine - INFO - Epoch(train) [255][ 20/1879] lr: 1.9823e-05 eta: 0:32:07 time: 0.7197 data_time: 0.2547 memory: 18104 grad_norm: 7.6201 loss: 2.1318 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2474 top1_acc_1: 0.7765 top5_acc_1: 0.9412 loss_cls_1: 0.8844 2023/02/03 11:18:45 - mmengine - INFO - Epoch(train) [255][ 40/1879] lr: 1.9611e-05 eta: 0:31:57 time: 0.4874 data_time: 0.0322 memory: 18104 grad_norm: 8.0002 loss: 2.0082 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0590 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.9492 2023/02/03 11:18:55 - mmengine - INFO - Epoch(train) [255][ 60/1879] lr: 1.9401e-05 eta: 0:31:47 time: 0.5040 data_time: 0.0349 memory: 18104 grad_norm: 7.6829 loss: 1.8245 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 0.8875 top1_acc_1: 0.7294 top5_acc_1: 0.9647 loss_cls_1: 0.9370 2023/02/03 11:19:06 - mmengine - INFO - Epoch(train) [255][ 80/1879] lr: 1.9192e-05 eta: 0:31:36 time: 0.5404 data_time: 0.0401 memory: 18104 grad_norm: 7.6356 loss: 1.9434 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.0464 top1_acc_1: 0.8235 top5_acc_1: 0.9647 loss_cls_1: 0.8970 2023/02/03 11:19:16 - mmengine - INFO - Epoch(train) [255][ 100/1879] lr: 1.8984e-05 eta: 0:31:26 time: 0.5006 data_time: 0.0366 memory: 18104 grad_norm: 7.7045 loss: 1.9380 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.0475 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 0.8905 2023/02/03 11:19:26 - mmengine - INFO - Epoch(train) [255][ 120/1879] lr: 1.8777e-05 eta: 0:31:16 time: 0.4983 data_time: 0.0328 memory: 18104 grad_norm: 7.8337 loss: 2.1341 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2112 top1_acc_1: 0.6824 top5_acc_1: 0.8824 loss_cls_1: 0.9229 2023/02/03 11:19:36 - mmengine - INFO - Epoch(train) [255][ 140/1879] lr: 1.8571e-05 eta: 0:31:06 time: 0.5031 data_time: 0.0426 memory: 18104 grad_norm: 7.5906 loss: 2.0785 top1_acc_0: 0.5000 top5_acc_0: 0.6250 loss_cls_0: 1.2087 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.8698 2023/02/03 11:19:46 - mmengine - INFO - Epoch(train) [255][ 160/1879] lr: 1.8366e-05 eta: 0:30:55 time: 0.5201 data_time: 0.0335 memory: 18104 grad_norm: 7.6082 loss: 1.9459 top1_acc_0: 0.6875 top5_acc_0: 1.0000 loss_cls_0: 1.0444 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 0.9015 2023/02/03 11:19:56 - mmengine - INFO - Epoch(train) [255][ 180/1879] lr: 1.8163e-05 eta: 0:30:45 time: 0.5014 data_time: 0.0363 memory: 18104 grad_norm: 7.7248 loss: 1.8689 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 0.9977 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.8711 2023/02/03 11:20:06 - mmengine - INFO - Epoch(train) [255][ 200/1879] lr: 1.7960e-05 eta: 0:30:35 time: 0.5089 data_time: 0.0326 memory: 18104 grad_norm: 7.6135 loss: 1.6627 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 0.8589 top1_acc_1: 0.7882 top5_acc_1: 0.9529 loss_cls_1: 0.8039 2023/02/03 11:20:17 - mmengine - INFO - Epoch(train) [255][ 220/1879] lr: 1.7759e-05 eta: 0:30:24 time: 0.5304 data_time: 0.0334 memory: 18104 grad_norm: 7.7313 loss: 2.1148 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.2153 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 0.8995 2023/02/03 11:20:27 - mmengine - INFO - Epoch(train) [255][ 240/1879] lr: 1.7559e-05 eta: 0:30:14 time: 0.5112 data_time: 0.0340 memory: 18104 grad_norm: 7.6531 loss: 1.9486 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0470 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.9017 2023/02/03 11:20:38 - mmengine - INFO - Epoch(train) [255][ 260/1879] lr: 1.7360e-05 eta: 0:30:04 time: 0.5067 data_time: 0.0366 memory: 18104 grad_norm: 7.4946 loss: 1.9383 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.0253 top1_acc_1: 0.8471 top5_acc_1: 0.9412 loss_cls_1: 0.9130 2023/02/03 11:20:48 - mmengine - INFO - Epoch(train) [255][ 280/1879] lr: 1.7162e-05 eta: 0:29:53 time: 0.5077 data_time: 0.0350 memory: 18104 grad_norm: 7.8045 loss: 1.7245 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 0.7822 top1_acc_1: 0.6588 top5_acc_1: 0.8941 loss_cls_1: 0.9424 2023/02/03 11:20:58 - mmengine - INFO - Epoch(train) [255][ 300/1879] lr: 1.6965e-05 eta: 0:29:43 time: 0.5194 data_time: 0.0390 memory: 18104 grad_norm: 7.6747 loss: 2.0133 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.1158 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.8975 2023/02/03 11:21:08 - mmengine - INFO - Epoch(train) [255][ 320/1879] lr: 1.6770e-05 eta: 0:29:33 time: 0.5101 data_time: 0.0324 memory: 18104 grad_norm: 7.7321 loss: 1.9930 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0780 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.9151 2023/02/03 11:21:18 - mmengine - INFO - Epoch(train) [255][ 340/1879] lr: 1.6575e-05 eta: 0:29:22 time: 0.5004 data_time: 0.0378 memory: 18104 grad_norm: 7.6539 loss: 1.7975 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 0.8908 top1_acc_1: 0.7882 top5_acc_1: 0.9647 loss_cls_1: 0.9067 2023/02/03 11:21:29 - mmengine - INFO - Epoch(train) [255][ 360/1879] lr: 1.6382e-05 eta: 0:29:12 time: 0.5129 data_time: 0.0337 memory: 18104 grad_norm: 7.8570 loss: 1.9579 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.0808 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 0.8771 2023/02/03 11:21:39 - mmengine - INFO - Epoch(train) [255][ 380/1879] lr: 1.6189e-05 eta: 0:29:02 time: 0.5323 data_time: 0.0424 memory: 18104 grad_norm: 7.8022 loss: 1.9172 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.0633 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.8540 2023/02/03 11:21:49 - mmengine - INFO - Epoch(train) [255][ 400/1879] lr: 1.5998e-05 eta: 0:28:51 time: 0.5057 data_time: 0.0360 memory: 18104 grad_norm: 7.5713 loss: 1.9508 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0403 top1_acc_1: 0.7765 top5_acc_1: 0.8941 loss_cls_1: 0.9105 2023/02/03 11:22:00 - mmengine - INFO - Epoch(train) [255][ 420/1879] lr: 1.5808e-05 eta: 0:28:41 time: 0.5022 data_time: 0.0341 memory: 18104 grad_norm: 7.8530 loss: 2.0705 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1525 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9181 2023/02/03 11:22:10 - mmengine - INFO - Epoch(train) [255][ 440/1879] lr: 1.5620e-05 eta: 0:28:31 time: 0.5230 data_time: 0.0319 memory: 18104 grad_norm: 7.6759 loss: 2.2247 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2792 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.9455 2023/02/03 11:22:20 - mmengine - INFO - Epoch(train) [255][ 460/1879] lr: 1.5432e-05 eta: 0:28:20 time: 0.5167 data_time: 0.0438 memory: 18104 grad_norm: 7.4153 loss: 1.9676 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.0362 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.9314 2023/02/03 11:22:30 - mmengine - INFO - Epoch(train) [255][ 480/1879] lr: 1.5245e-05 eta: 0:28:10 time: 0.5018 data_time: 0.0348 memory: 18104 grad_norm: 7.8646 loss: 1.8408 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.0125 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 0.8282 2023/02/03 11:22:41 - mmengine - INFO - Epoch(train) [255][ 500/1879] lr: 1.5060e-05 eta: 0:28:00 time: 0.5130 data_time: 0.0388 memory: 18104 grad_norm: 7.6684 loss: 2.0492 top1_acc_0: 0.6250 top5_acc_0: 0.9375 loss_cls_0: 1.1437 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9055 2023/02/03 11:22:51 - mmengine - INFO - Epoch(train) [255][ 520/1879] lr: 1.4876e-05 eta: 0:27:49 time: 0.5215 data_time: 0.0318 memory: 18104 grad_norm: 7.5917 loss: 1.9862 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.0343 top1_acc_1: 0.8000 top5_acc_1: 0.9647 loss_cls_1: 0.9519 2023/02/03 11:23:01 - mmengine - INFO - Epoch(train) [255][ 540/1879] lr: 1.4693e-05 eta: 0:27:39 time: 0.5073 data_time: 0.0428 memory: 18104 grad_norm: 7.5870 loss: 2.2483 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.3010 top1_acc_1: 0.8353 top5_acc_1: 0.9176 loss_cls_1: 0.9473 2023/02/03 11:23:12 - mmengine - INFO - Epoch(train) [255][ 560/1879] lr: 1.4511e-05 eta: 0:27:29 time: 0.5090 data_time: 0.0345 memory: 18104 grad_norm: 7.7758 loss: 1.9720 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.0546 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9174 2023/02/03 11:23:22 - mmengine - INFO - Epoch(train) [255][ 580/1879] lr: 1.4330e-05 eta: 0:27:19 time: 0.5222 data_time: 0.0344 memory: 18104 grad_norm: 7.7350 loss: 2.1914 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.3294 top1_acc_1: 0.8588 top5_acc_1: 0.9765 loss_cls_1: 0.8620 2023/02/03 11:23:32 - mmengine - INFO - Epoch(train) [255][ 600/1879] lr: 1.4150e-05 eta: 0:27:08 time: 0.5202 data_time: 0.0345 memory: 18104 grad_norm: 7.5061 loss: 1.9429 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0536 top1_acc_1: 0.7647 top5_acc_1: 0.9647 loss_cls_1: 0.8893 2023/02/03 11:23:43 - mmengine - INFO - Epoch(train) [255][ 620/1879] lr: 1.3971e-05 eta: 0:26:58 time: 0.5037 data_time: 0.0352 memory: 18104 grad_norm: 7.7441 loss: 1.9373 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0575 top1_acc_1: 0.8471 top5_acc_1: 0.9059 loss_cls_1: 0.8798 2023/02/03 11:23:53 - mmengine - INFO - Epoch(train) [255][ 640/1879] lr: 1.3794e-05 eta: 0:26:48 time: 0.5181 data_time: 0.0323 memory: 18104 grad_norm: 7.7954 loss: 1.9934 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0823 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.9111 2023/02/03 11:24:03 - mmengine - INFO - Epoch(train) [255][ 660/1879] lr: 1.3618e-05 eta: 0:26:37 time: 0.5133 data_time: 0.0369 memory: 18104 grad_norm: 7.5910 loss: 1.8998 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.0294 top1_acc_1: 0.8235 top5_acc_1: 0.9529 loss_cls_1: 0.8705 2023/02/03 11:24:13 - mmengine - INFO - Epoch(train) [255][ 680/1879] lr: 1.3443e-05 eta: 0:26:27 time: 0.5096 data_time: 0.0385 memory: 18104 grad_norm: 7.7747 loss: 2.0037 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.0278 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 0.9758 2023/02/03 11:24:24 - mmengine - INFO - Epoch(train) [255][ 700/1879] lr: 1.3268e-05 eta: 0:26:17 time: 0.5094 data_time: 0.0358 memory: 18104 grad_norm: 7.4906 loss: 2.0080 top1_acc_0: 0.4375 top5_acc_0: 0.7500 loss_cls_0: 1.1766 top1_acc_1: 0.7059 top5_acc_1: 0.9529 loss_cls_1: 0.8315 2023/02/03 11:24:34 - mmengine - INFO - Epoch(train) [255][ 720/1879] lr: 1.3096e-05 eta: 0:26:06 time: 0.5171 data_time: 0.0316 memory: 18104 grad_norm: 7.4625 loss: 2.0420 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1612 top1_acc_1: 0.7882 top5_acc_1: 0.9059 loss_cls_1: 0.8808 2023/02/03 11:24:41 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 11:24:44 - mmengine - INFO - Epoch(train) [255][ 740/1879] lr: 1.2924e-05 eta: 0:25:56 time: 0.5057 data_time: 0.0353 memory: 18104 grad_norm: 7.6057 loss: 2.0937 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1901 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.9035 2023/02/03 11:24:55 - mmengine - INFO - Epoch(train) [255][ 760/1879] lr: 1.2753e-05 eta: 0:25:46 time: 0.5175 data_time: 0.0392 memory: 18104 grad_norm: 7.7220 loss: 2.1386 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.2213 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9173 2023/02/03 11:25:05 - mmengine - INFO - Epoch(train) [255][ 780/1879] lr: 1.2584e-05 eta: 0:25:35 time: 0.5122 data_time: 0.0343 memory: 18104 grad_norm: 7.5326 loss: 1.9421 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.0677 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.8745 2023/02/03 11:25:15 - mmengine - INFO - Epoch(train) [255][ 800/1879] lr: 1.2415e-05 eta: 0:25:25 time: 0.5134 data_time: 0.0331 memory: 18104 grad_norm: 7.6664 loss: 1.9652 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0824 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.8829 2023/02/03 11:25:25 - mmengine - INFO - Epoch(train) [255][ 820/1879] lr: 1.2248e-05 eta: 0:25:15 time: 0.5035 data_time: 0.0350 memory: 18104 grad_norm: 7.7208 loss: 1.9851 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.1428 top1_acc_1: 0.8235 top5_acc_1: 0.9412 loss_cls_1: 0.8423 2023/02/03 11:25:36 - mmengine - INFO - Epoch(train) [255][ 840/1879] lr: 1.2082e-05 eta: 0:25:04 time: 0.5185 data_time: 0.0393 memory: 18104 grad_norm: 7.7191 loss: 2.0571 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1417 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.9154 2023/02/03 11:25:46 - mmengine - INFO - Epoch(train) [255][ 860/1879] lr: 1.1917e-05 eta: 0:24:54 time: 0.5122 data_time: 0.0370 memory: 18104 grad_norm: 7.7420 loss: 2.1626 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2116 top1_acc_1: 0.7059 top5_acc_1: 0.8706 loss_cls_1: 0.9510 2023/02/03 11:25:56 - mmengine - INFO - Epoch(train) [255][ 880/1879] lr: 1.1753e-05 eta: 0:24:44 time: 0.5225 data_time: 0.0333 memory: 18104 grad_norm: 7.7900 loss: 2.0597 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1306 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 0.9291 2023/02/03 11:26:07 - mmengine - INFO - Epoch(train) [255][ 900/1879] lr: 1.1590e-05 eta: 0:24:34 time: 0.5404 data_time: 0.0484 memory: 18104 grad_norm: 7.5898 loss: 2.0828 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1494 top1_acc_1: 0.8824 top5_acc_1: 0.9529 loss_cls_1: 0.9334 2023/02/03 11:26:18 - mmengine - INFO - Epoch(train) [255][ 920/1879] lr: 1.1429e-05 eta: 0:24:23 time: 0.5201 data_time: 0.0285 memory: 18104 grad_norm: 7.8366 loss: 1.9418 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.0655 top1_acc_1: 0.7647 top5_acc_1: 0.9412 loss_cls_1: 0.8764 2023/02/03 11:26:28 - mmengine - INFO - Epoch(train) [255][ 940/1879] lr: 1.1268e-05 eta: 0:24:13 time: 0.5160 data_time: 0.0369 memory: 18104 grad_norm: 7.8201 loss: 2.0873 top1_acc_0: 0.6250 top5_acc_0: 0.6250 loss_cls_0: 1.1686 top1_acc_1: 0.7294 top5_acc_1: 0.8706 loss_cls_1: 0.9187 2023/02/03 11:26:39 - mmengine - INFO - Epoch(train) [255][ 960/1879] lr: 1.1109e-05 eta: 0:24:03 time: 0.5442 data_time: 0.0301 memory: 18104 grad_norm: 7.6914 loss: 1.9894 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1743 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.8152 2023/02/03 11:26:49 - mmengine - INFO - Epoch(train) [255][ 980/1879] lr: 1.0951e-05 eta: 0:23:52 time: 0.5228 data_time: 0.0472 memory: 18104 grad_norm: 7.5759 loss: 1.9999 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.0983 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 0.9017 2023/02/03 11:27:00 - mmengine - INFO - Epoch(train) [255][1000/1879] lr: 1.0794e-05 eta: 0:23:42 time: 0.5163 data_time: 0.0304 memory: 18104 grad_norm: 7.6191 loss: 2.2524 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.3392 top1_acc_1: 0.8471 top5_acc_1: 0.9294 loss_cls_1: 0.9132 2023/02/03 11:27:10 - mmengine - INFO - Epoch(train) [255][1020/1879] lr: 1.0638e-05 eta: 0:23:32 time: 0.5239 data_time: 0.0395 memory: 18104 grad_norm: 7.6056 loss: 1.8690 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 0.9970 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.8720 2023/02/03 11:27:21 - mmengine - INFO - Epoch(train) [255][1040/1879] lr: 1.0483e-05 eta: 0:23:21 time: 0.5158 data_time: 0.0348 memory: 18104 grad_norm: 7.6240 loss: 1.8755 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 0.9558 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.9197 2023/02/03 11:27:31 - mmengine - INFO - Epoch(train) [255][1060/1879] lr: 1.0329e-05 eta: 0:23:11 time: 0.5072 data_time: 0.0349 memory: 18104 grad_norm: 7.7963 loss: 1.9570 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0798 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.8772 2023/02/03 11:27:41 - mmengine - INFO - Epoch(train) [255][1080/1879] lr: 1.0177e-05 eta: 0:23:01 time: 0.5093 data_time: 0.0288 memory: 18104 grad_norm: 7.5766 loss: 1.9023 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0418 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.8605 2023/02/03 11:27:51 - mmengine - INFO - Epoch(train) [255][1100/1879] lr: 1.0025e-05 eta: 0:22:50 time: 0.5225 data_time: 0.0442 memory: 18104 grad_norm: 7.7638 loss: 2.0396 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1737 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 0.8659 2023/02/03 11:28:01 - mmengine - INFO - Epoch(train) [255][1120/1879] lr: 9.8752e-06 eta: 0:22:40 time: 0.5033 data_time: 0.0308 memory: 18104 grad_norm: 7.5584 loss: 2.0816 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2025 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.8791 2023/02/03 11:28:12 - mmengine - INFO - Epoch(train) [255][1140/1879] lr: 9.7261e-06 eta: 0:22:30 time: 0.5160 data_time: 0.0400 memory: 18104 grad_norm: 7.6713 loss: 1.9112 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 0.9937 top1_acc_1: 0.7294 top5_acc_1: 0.8824 loss_cls_1: 0.9175 2023/02/03 11:28:22 - mmengine - INFO - Epoch(train) [255][1160/1879] lr: 9.5781e-06 eta: 0:22:19 time: 0.5228 data_time: 0.0347 memory: 18104 grad_norm: 7.6963 loss: 2.0170 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0910 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 0.9260 2023/02/03 11:28:33 - mmengine - INFO - Epoch(train) [255][1180/1879] lr: 9.4313e-06 eta: 0:22:09 time: 0.5117 data_time: 0.0363 memory: 18104 grad_norm: 7.7887 loss: 1.9300 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.0523 top1_acc_1: 0.7059 top5_acc_1: 0.9059 loss_cls_1: 0.8777 2023/02/03 11:28:43 - mmengine - INFO - Epoch(train) [255][1200/1879] lr: 9.2855e-06 eta: 0:21:59 time: 0.5045 data_time: 0.0299 memory: 18104 grad_norm: 7.5817 loss: 1.7817 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 0.9227 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.8590 2023/02/03 11:28:53 - mmengine - INFO - Epoch(train) [255][1220/1879] lr: 9.1410e-06 eta: 0:21:48 time: 0.5319 data_time: 0.0461 memory: 18104 grad_norm: 7.8593 loss: 1.8946 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 1.0139 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.8807 2023/02/03 11:29:04 - mmengine - INFO - Epoch(train) [255][1240/1879] lr: 8.9975e-06 eta: 0:21:38 time: 0.5179 data_time: 0.0310 memory: 18104 grad_norm: 7.9806 loss: 1.9352 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.0503 top1_acc_1: 0.7647 top5_acc_1: 0.8588 loss_cls_1: 0.8849 2023/02/03 11:29:14 - mmengine - INFO - Epoch(train) [255][1260/1879] lr: 8.8552e-06 eta: 0:21:28 time: 0.5097 data_time: 0.0364 memory: 18104 grad_norm: 7.6426 loss: 1.9359 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0944 top1_acc_1: 0.7882 top5_acc_1: 0.9294 loss_cls_1: 0.8415 2023/02/03 11:29:24 - mmengine - INFO - Epoch(train) [255][1280/1879] lr: 8.7141e-06 eta: 0:21:18 time: 0.5203 data_time: 0.0312 memory: 18104 grad_norm: 7.4501 loss: 1.9898 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.0969 top1_acc_1: 0.7529 top5_acc_1: 0.9294 loss_cls_1: 0.8929 2023/02/03 11:29:35 - mmengine - INFO - Epoch(train) [255][1300/1879] lr: 8.5740e-06 eta: 0:21:07 time: 0.5249 data_time: 0.0462 memory: 18104 grad_norm: 7.7940 loss: 2.1089 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2888 top1_acc_1: 0.7412 top5_acc_1: 0.9412 loss_cls_1: 0.8201 2023/02/03 11:29:45 - mmengine - INFO - Epoch(train) [255][1320/1879] lr: 8.4351e-06 eta: 0:20:57 time: 0.5161 data_time: 0.0312 memory: 18104 grad_norm: 7.5802 loss: 1.9546 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.0660 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.8885 2023/02/03 11:29:56 - mmengine - INFO - Epoch(train) [255][1340/1879] lr: 8.2974e-06 eta: 0:20:47 time: 0.5170 data_time: 0.0373 memory: 18104 grad_norm: 7.6358 loss: 1.9544 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1094 top1_acc_1: 0.7529 top5_acc_1: 0.9529 loss_cls_1: 0.8451 2023/02/03 11:30:06 - mmengine - INFO - Epoch(train) [255][1360/1879] lr: 8.1607e-06 eta: 0:20:36 time: 0.5306 data_time: 0.0358 memory: 18104 grad_norm: 7.9095 loss: 1.8834 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 0.9595 top1_acc_1: 0.7059 top5_acc_1: 0.8941 loss_cls_1: 0.9239 2023/02/03 11:30:17 - mmengine - INFO - Epoch(train) [255][1380/1879] lr: 8.0252e-06 eta: 0:20:26 time: 0.5137 data_time: 0.0400 memory: 18104 grad_norm: 7.5486 loss: 2.0441 top1_acc_0: 0.8750 top5_acc_0: 0.8750 loss_cls_0: 1.1395 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9045 2023/02/03 11:30:27 - mmengine - INFO - Epoch(train) [255][1400/1879] lr: 7.8909e-06 eta: 0:20:16 time: 0.5145 data_time: 0.0314 memory: 18104 grad_norm: 7.6127 loss: 2.0699 top1_acc_0: 0.6250 top5_acc_0: 0.7500 loss_cls_0: 1.1712 top1_acc_1: 0.7882 top5_acc_1: 0.9176 loss_cls_1: 0.8987 2023/02/03 11:30:37 - mmengine - INFO - Epoch(train) [255][1420/1879] lr: 7.7576e-06 eta: 0:20:05 time: 0.5228 data_time: 0.0446 memory: 18104 grad_norm: 7.8009 loss: 2.1380 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2559 top1_acc_1: 0.7882 top5_acc_1: 0.9647 loss_cls_1: 0.8821 2023/02/03 11:30:48 - mmengine - INFO - Epoch(train) [255][1440/1879] lr: 7.6255e-06 eta: 0:19:55 time: 0.5153 data_time: 0.0297 memory: 18104 grad_norm: 7.6970 loss: 1.8243 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 0.9586 top1_acc_1: 0.7059 top5_acc_1: 0.8824 loss_cls_1: 0.8657 2023/02/03 11:30:58 - mmengine - INFO - Epoch(train) [255][1460/1879] lr: 7.4946e-06 eta: 0:19:45 time: 0.5113 data_time: 0.0369 memory: 18104 grad_norm: 7.8126 loss: 2.0227 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0843 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.9385 2023/02/03 11:31:08 - mmengine - INFO - Epoch(train) [255][1480/1879] lr: 7.3648e-06 eta: 0:19:34 time: 0.5204 data_time: 0.0377 memory: 18104 grad_norm: 7.7497 loss: 1.8478 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 0.9673 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 0.8806 2023/02/03 11:31:19 - mmengine - INFO - Epoch(train) [255][1500/1879] lr: 7.2361e-06 eta: 0:19:24 time: 0.5242 data_time: 0.0360 memory: 18104 grad_norm: 7.7776 loss: 2.0303 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.0900 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9403 2023/02/03 11:31:29 - mmengine - INFO - Epoch(train) [255][1520/1879] lr: 7.1085e-06 eta: 0:19:14 time: 0.5099 data_time: 0.0318 memory: 18104 grad_norm: 7.6672 loss: 1.8972 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0472 top1_acc_1: 0.7647 top5_acc_1: 0.9647 loss_cls_1: 0.8499 2023/02/03 11:31:40 - mmengine - INFO - Epoch(train) [255][1540/1879] lr: 6.9821e-06 eta: 0:19:03 time: 0.5271 data_time: 0.0475 memory: 18104 grad_norm: 7.5829 loss: 1.9817 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0956 top1_acc_1: 0.7294 top5_acc_1: 0.9647 loss_cls_1: 0.8862 2023/02/03 11:31:50 - mmengine - INFO - Epoch(train) [255][1560/1879] lr: 6.8568e-06 eta: 0:18:53 time: 0.5186 data_time: 0.0292 memory: 18104 grad_norm: 7.7046 loss: 2.1591 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2481 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9110 2023/02/03 11:32:00 - mmengine - INFO - Epoch(train) [255][1580/1879] lr: 6.7326e-06 eta: 0:18:43 time: 0.5179 data_time: 0.0393 memory: 18104 grad_norm: 7.6720 loss: 2.1038 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.1988 top1_acc_1: 0.8118 top5_acc_1: 0.9412 loss_cls_1: 0.9050 2023/02/03 11:32:11 - mmengine - INFO - Epoch(train) [255][1600/1879] lr: 6.6096e-06 eta: 0:18:33 time: 0.5186 data_time: 0.0291 memory: 18104 grad_norm: 7.5541 loss: 1.9689 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1116 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.8572 2023/02/03 11:32:21 - mmengine - INFO - Epoch(train) [255][1620/1879] lr: 6.4877e-06 eta: 0:18:22 time: 0.5325 data_time: 0.0450 memory: 18104 grad_norm: 7.6243 loss: 2.0438 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 1.2162 top1_acc_1: 0.8235 top5_acc_1: 0.9647 loss_cls_1: 0.8276 2023/02/03 11:32:32 - mmengine - INFO - Epoch(train) [255][1640/1879] lr: 6.3670e-06 eta: 0:18:12 time: 0.5106 data_time: 0.0308 memory: 18104 grad_norm: 7.5974 loss: 2.1922 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2929 top1_acc_1: 0.8353 top5_acc_1: 0.9059 loss_cls_1: 0.8994 2023/02/03 11:32:42 - mmengine - INFO - Epoch(train) [255][1660/1879] lr: 6.2474e-06 eta: 0:18:02 time: 0.5236 data_time: 0.0369 memory: 18104 grad_norm: 7.7299 loss: 1.9935 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.1247 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.8688 2023/02/03 11:32:53 - mmengine - INFO - Epoch(train) [255][1680/1879] lr: 6.1289e-06 eta: 0:17:51 time: 0.5188 data_time: 0.0377 memory: 18104 grad_norm: 7.7197 loss: 2.0191 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1033 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 0.9157 2023/02/03 11:33:03 - mmengine - INFO - Epoch(train) [255][1700/1879] lr: 6.0115e-06 eta: 0:17:41 time: 0.5349 data_time: 0.0396 memory: 18104 grad_norm: 7.5164 loss: 1.9687 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.0481 top1_acc_1: 0.7294 top5_acc_1: 0.9412 loss_cls_1: 0.9206 2023/02/03 11:33:14 - mmengine - INFO - Epoch(train) [255][1720/1879] lr: 5.8953e-06 eta: 0:17:31 time: 0.5110 data_time: 0.0303 memory: 18104 grad_norm: 7.6812 loss: 1.9435 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1941 top1_acc_1: 0.7647 top5_acc_1: 0.9647 loss_cls_1: 0.7494 2023/02/03 11:33:21 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 11:33:24 - mmengine - INFO - Epoch(train) [255][1740/1879] lr: 5.7802e-06 eta: 0:17:20 time: 0.5343 data_time: 0.0540 memory: 18104 grad_norm: 7.8719 loss: 2.1021 top1_acc_0: 0.5625 top5_acc_0: 0.8125 loss_cls_0: 1.2070 top1_acc_1: 0.8471 top5_acc_1: 0.9412 loss_cls_1: 0.8951 2023/02/03 11:33:35 - mmengine - INFO - Epoch(train) [255][1760/1879] lr: 5.6663e-06 eta: 0:17:10 time: 0.5188 data_time: 0.0305 memory: 18104 grad_norm: 7.6404 loss: 1.9760 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1556 top1_acc_1: 0.8235 top5_acc_1: 0.8941 loss_cls_1: 0.8204 2023/02/03 11:33:45 - mmengine - INFO - Epoch(train) [255][1780/1879] lr: 5.5535e-06 eta: 0:17:00 time: 0.5302 data_time: 0.0406 memory: 18104 grad_norm: 7.4800 loss: 2.1503 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.2467 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9036 2023/02/03 11:33:56 - mmengine - INFO - Epoch(train) [255][1800/1879] lr: 5.4418e-06 eta: 0:16:49 time: 0.5086 data_time: 0.0317 memory: 18104 grad_norm: 7.3474 loss: 1.7908 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 0.8996 top1_acc_1: 0.8235 top5_acc_1: 0.9647 loss_cls_1: 0.8912 2023/02/03 11:34:06 - mmengine - INFO - Epoch(train) [255][1820/1879] lr: 5.3312e-06 eta: 0:16:39 time: 0.5186 data_time: 0.0451 memory: 18104 grad_norm: 7.6329 loss: 1.9427 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.0918 top1_acc_1: 0.7529 top5_acc_1: 0.8824 loss_cls_1: 0.8509 2023/02/03 11:34:16 - mmengine - INFO - Epoch(train) [255][1840/1879] lr: 5.2218e-06 eta: 0:16:29 time: 0.5216 data_time: 0.0300 memory: 18104 grad_norm: 7.5689 loss: 1.7979 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 0.9652 top1_acc_1: 0.8000 top5_acc_1: 0.9059 loss_cls_1: 0.8327 2023/02/03 11:34:27 - mmengine - INFO - Epoch(train) [255][1860/1879] lr: 5.1136e-06 eta: 0:16:18 time: 0.5232 data_time: 0.0450 memory: 18104 grad_norm: 7.4603 loss: 1.8873 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 0.9703 top1_acc_1: 0.7765 top5_acc_1: 0.9529 loss_cls_1: 0.9170 2023/02/03 11:34:36 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 11:34:36 - mmengine - INFO - Epoch(train) [255][1879/1879] lr: 5.0117e-06 eta: 0:16:09 time: 0.4903 data_time: 0.0269 memory: 18104 grad_norm: 8.0552 loss: 1.9665 top1_acc_0: 0.7143 top5_acc_0: 0.8571 loss_cls_0: 1.0943 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.8722 2023/02/03 11:34:51 - mmengine - INFO - Epoch(train) [256][ 20/1879] lr: 4.9057e-06 eta: 0:15:58 time: 0.7102 data_time: 0.2536 memory: 18104 grad_norm: 7.6576 loss: 1.8323 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 0.9831 top1_acc_1: 0.8000 top5_acc_1: 0.8941 loss_cls_1: 0.8492 2023/02/03 11:35:01 - mmengine - INFO - Epoch(train) [256][ 40/1879] lr: 4.8007e-06 eta: 0:15:48 time: 0.4727 data_time: 0.0353 memory: 18104 grad_norm: 7.7894 loss: 2.2091 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2959 top1_acc_1: 0.7176 top5_acc_1: 0.9176 loss_cls_1: 0.9132 2023/02/03 11:35:10 - mmengine - INFO - Epoch(train) [256][ 60/1879] lr: 4.6970e-06 eta: 0:15:38 time: 0.4762 data_time: 0.0373 memory: 18104 grad_norm: 7.9464 loss: 2.0880 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.1431 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.9448 2023/02/03 11:35:21 - mmengine - INFO - Epoch(train) [256][ 80/1879] lr: 4.5943e-06 eta: 0:15:27 time: 0.5193 data_time: 0.0334 memory: 18104 grad_norm: 7.7521 loss: 2.1615 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2474 top1_acc_1: 0.8118 top5_acc_1: 0.9765 loss_cls_1: 0.9141 2023/02/03 11:35:31 - mmengine - INFO - Epoch(train) [256][ 100/1879] lr: 4.4928e-06 eta: 0:15:17 time: 0.5022 data_time: 0.0366 memory: 18104 grad_norm: 7.6251 loss: 1.7756 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 0.9566 top1_acc_1: 0.7765 top5_acc_1: 0.9176 loss_cls_1: 0.8189 2023/02/03 11:35:41 - mmengine - INFO - Epoch(train) [256][ 120/1879] lr: 4.3924e-06 eta: 0:15:07 time: 0.4925 data_time: 0.0312 memory: 18104 grad_norm: 7.8806 loss: 1.9217 top1_acc_0: 0.7500 top5_acc_0: 0.7500 loss_cls_0: 0.9967 top1_acc_1: 0.8353 top5_acc_1: 0.9647 loss_cls_1: 0.9251 2023/02/03 11:35:51 - mmengine - INFO - Epoch(train) [256][ 140/1879] lr: 4.2931e-06 eta: 0:14:56 time: 0.5147 data_time: 0.0330 memory: 18104 grad_norm: 7.6282 loss: 1.8293 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 0.9590 top1_acc_1: 0.7882 top5_acc_1: 0.9647 loss_cls_1: 0.8702 2023/02/03 11:36:01 - mmengine - INFO - Epoch(train) [256][ 160/1879] lr: 4.1950e-06 eta: 0:14:46 time: 0.5056 data_time: 0.0417 memory: 18104 grad_norm: 7.7244 loss: 1.6741 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 0.7762 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.8980 2023/02/03 11:36:11 - mmengine - INFO - Epoch(train) [256][ 180/1879] lr: 4.0980e-06 eta: 0:14:36 time: 0.4977 data_time: 0.0364 memory: 18104 grad_norm: 7.6425 loss: 2.0819 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1919 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.8900 2023/02/03 11:36:21 - mmengine - INFO - Epoch(train) [256][ 200/1879] lr: 4.0021e-06 eta: 0:14:25 time: 0.5007 data_time: 0.0332 memory: 18104 grad_norm: 7.5376 loss: 1.9146 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0172 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.8975 2023/02/03 11:36:31 - mmengine - INFO - Epoch(train) [256][ 220/1879] lr: 3.9074e-06 eta: 0:14:15 time: 0.5000 data_time: 0.0354 memory: 18104 grad_norm: 7.7408 loss: 2.1478 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.2208 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.9270 2023/02/03 11:36:41 - mmengine - INFO - Epoch(train) [256][ 240/1879] lr: 3.8138e-06 eta: 0:14:05 time: 0.5129 data_time: 0.0356 memory: 18104 grad_norm: 7.5312 loss: 1.9240 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.0564 top1_acc_1: 0.7882 top5_acc_1: 0.8706 loss_cls_1: 0.8676 2023/02/03 11:36:51 - mmengine - INFO - Epoch(train) [256][ 260/1879] lr: 3.7214e-06 eta: 0:13:55 time: 0.5006 data_time: 0.0367 memory: 18104 grad_norm: 7.8287 loss: 1.9704 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.1246 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.8458 2023/02/03 11:37:02 - mmengine - INFO - Epoch(train) [256][ 280/1879] lr: 3.6301e-06 eta: 0:13:44 time: 0.5227 data_time: 0.0336 memory: 18104 grad_norm: 7.6759 loss: 1.8571 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.0381 top1_acc_1: 0.8353 top5_acc_1: 0.9176 loss_cls_1: 0.8190 2023/02/03 11:37:12 - mmengine - INFO - Epoch(train) [256][ 300/1879] lr: 3.5399e-06 eta: 0:13:34 time: 0.5066 data_time: 0.0352 memory: 18104 grad_norm: 7.6198 loss: 1.9176 top1_acc_0: 0.5625 top5_acc_0: 0.7500 loss_cls_0: 0.9786 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.9390 2023/02/03 11:37:22 - mmengine - INFO - Epoch(train) [256][ 320/1879] lr: 3.4508e-06 eta: 0:13:24 time: 0.5146 data_time: 0.0385 memory: 18104 grad_norm: 7.6111 loss: 2.0018 top1_acc_0: 0.6250 top5_acc_0: 0.8125 loss_cls_0: 1.0618 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 0.9400 2023/02/03 11:37:33 - mmengine - INFO - Epoch(train) [256][ 340/1879] lr: 3.3629e-06 eta: 0:13:13 time: 0.5146 data_time: 0.0336 memory: 18104 grad_norm: 7.7491 loss: 1.9279 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.0454 top1_acc_1: 0.8118 top5_acc_1: 0.9059 loss_cls_1: 0.8825 2023/02/03 11:37:43 - mmengine - INFO - Epoch(train) [256][ 360/1879] lr: 3.2761e-06 eta: 0:13:03 time: 0.5073 data_time: 0.0324 memory: 18104 grad_norm: 7.5690 loss: 2.0578 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1881 top1_acc_1: 0.8588 top5_acc_1: 0.9176 loss_cls_1: 0.8697 2023/02/03 11:37:53 - mmengine - INFO - Epoch(train) [256][ 380/1879] lr: 3.1905e-06 eta: 0:12:53 time: 0.5191 data_time: 0.0377 memory: 18104 grad_norm: 7.8370 loss: 1.9178 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0523 top1_acc_1: 0.8353 top5_acc_1: 0.9765 loss_cls_1: 0.8655 2023/02/03 11:38:03 - mmengine - INFO - Epoch(train) [256][ 400/1879] lr: 3.1060e-06 eta: 0:12:42 time: 0.5114 data_time: 0.0406 memory: 18104 grad_norm: 7.4643 loss: 2.0905 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.1793 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9112 2023/02/03 11:38:14 - mmengine - INFO - Epoch(train) [256][ 420/1879] lr: 3.0226e-06 eta: 0:12:32 time: 0.5240 data_time: 0.0350 memory: 18104 grad_norm: 7.5646 loss: 2.0495 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.1187 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 0.9308 2023/02/03 11:38:24 - mmengine - INFO - Epoch(train) [256][ 440/1879] lr: 2.9404e-06 eta: 0:12:22 time: 0.5014 data_time: 0.0348 memory: 18104 grad_norm: 7.8022 loss: 2.0514 top1_acc_0: 0.8125 top5_acc_0: 1.0000 loss_cls_0: 1.0711 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 0.9803 2023/02/03 11:38:34 - mmengine - INFO - Epoch(train) [256][ 460/1879] lr: 2.8593e-06 eta: 0:12:11 time: 0.5078 data_time: 0.0363 memory: 18104 grad_norm: 7.8668 loss: 1.8384 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 0.9091 top1_acc_1: 0.8588 top5_acc_1: 0.9529 loss_cls_1: 0.9292 2023/02/03 11:38:45 - mmengine - INFO - Epoch(train) [256][ 480/1879] lr: 2.7793e-06 eta: 0:12:01 time: 0.5288 data_time: 0.0415 memory: 18104 grad_norm: 7.6297 loss: 2.0522 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 1.1660 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.8862 2023/02/03 11:38:55 - mmengine - INFO - Epoch(train) [256][ 500/1879] lr: 2.7004e-06 eta: 0:11:51 time: 0.5100 data_time: 0.0366 memory: 18104 grad_norm: 7.6706 loss: 2.0930 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.1725 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9205 2023/02/03 11:39:05 - mmengine - INFO - Epoch(train) [256][ 520/1879] lr: 2.6227e-06 eta: 0:11:40 time: 0.5082 data_time: 0.0324 memory: 18104 grad_norm: 7.5861 loss: 2.0300 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1382 top1_acc_1: 0.8353 top5_acc_1: 0.9647 loss_cls_1: 0.8918 2023/02/03 11:39:15 - mmengine - INFO - Epoch(train) [256][ 540/1879] lr: 2.5462e-06 eta: 0:11:30 time: 0.5100 data_time: 0.0384 memory: 18104 grad_norm: 7.8121 loss: 2.0821 top1_acc_0: 0.4375 top5_acc_0: 0.6875 loss_cls_0: 1.2457 top1_acc_1: 0.7647 top5_acc_1: 0.9294 loss_cls_1: 0.8364 2023/02/03 11:39:26 - mmengine - INFO - Epoch(train) [256][ 560/1879] lr: 2.4707e-06 eta: 0:11:20 time: 0.5298 data_time: 0.0390 memory: 18104 grad_norm: 7.6234 loss: 1.9565 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.0584 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.8981 2023/02/03 11:39:36 - mmengine - INFO - Epoch(train) [256][ 580/1879] lr: 2.3964e-06 eta: 0:11:09 time: 0.5001 data_time: 0.0359 memory: 18104 grad_norm: 7.7524 loss: 1.9305 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.0263 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9043 2023/02/03 11:39:46 - mmengine - INFO - Epoch(train) [256][ 600/1879] lr: 2.3233e-06 eta: 0:10:59 time: 0.5108 data_time: 0.0347 memory: 18104 grad_norm: 7.5924 loss: 2.2133 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.2669 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9465 2023/02/03 11:39:57 - mmengine - INFO - Epoch(train) [256][ 620/1879] lr: 2.2512e-06 eta: 0:10:49 time: 0.5293 data_time: 0.0355 memory: 18104 grad_norm: 7.8993 loss: 1.9414 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0881 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 0.8532 2023/02/03 11:40:07 - mmengine - INFO - Epoch(train) [256][ 640/1879] lr: 2.1803e-06 eta: 0:10:39 time: 0.5131 data_time: 0.0325 memory: 18104 grad_norm: 7.6089 loss: 1.7275 top1_acc_0: 0.7500 top5_acc_0: 1.0000 loss_cls_0: 0.8964 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.8311 2023/02/03 11:40:17 - mmengine - INFO - Epoch(train) [256][ 660/1879] lr: 2.1106e-06 eta: 0:10:28 time: 0.5017 data_time: 0.0353 memory: 18104 grad_norm: 7.5461 loss: 1.8824 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.0041 top1_acc_1: 0.8235 top5_acc_1: 0.9647 loss_cls_1: 0.8783 2023/02/03 11:40:28 - mmengine - INFO - Epoch(train) [256][ 680/1879] lr: 2.0419e-06 eta: 0:10:18 time: 0.5126 data_time: 0.0318 memory: 18104 grad_norm: 7.7713 loss: 2.1086 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.2021 top1_acc_1: 0.7412 top5_acc_1: 0.8941 loss_cls_1: 0.9065 2023/02/03 11:40:38 - mmengine - INFO - Epoch(train) [256][ 700/1879] lr: 1.9744e-06 eta: 0:10:08 time: 0.5094 data_time: 0.0422 memory: 18104 grad_norm: 7.7286 loss: 1.9602 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0548 top1_acc_1: 0.7529 top5_acc_1: 0.8941 loss_cls_1: 0.9053 2023/02/03 11:40:48 - mmengine - INFO - Epoch(train) [256][ 720/1879] lr: 1.9081e-06 eta: 0:09:57 time: 0.5079 data_time: 0.0315 memory: 18104 grad_norm: 7.7563 loss: 2.0359 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1607 top1_acc_1: 0.8235 top5_acc_1: 0.9294 loss_cls_1: 0.8751 2023/02/03 11:40:58 - mmengine - INFO - Epoch(train) [256][ 740/1879] lr: 1.8428e-06 eta: 0:09:47 time: 0.5006 data_time: 0.0361 memory: 18104 grad_norm: 7.7199 loss: 2.0945 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.1801 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.9144 2023/02/03 11:41:08 - mmengine - INFO - Epoch(train) [256][ 760/1879] lr: 1.7787e-06 eta: 0:09:37 time: 0.5165 data_time: 0.0381 memory: 18104 grad_norm: 7.6126 loss: 2.0501 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1813 top1_acc_1: 0.8588 top5_acc_1: 0.9176 loss_cls_1: 0.8689 2023/02/03 11:41:18 - mmengine - INFO - Epoch(train) [256][ 780/1879] lr: 1.7158e-06 eta: 0:09:26 time: 0.5061 data_time: 0.0371 memory: 18104 grad_norm: 7.6303 loss: 1.9014 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0564 top1_acc_1: 0.7412 top5_acc_1: 0.9529 loss_cls_1: 0.8451 2023/02/03 11:41:29 - mmengine - INFO - Epoch(train) [256][ 800/1879] lr: 1.6540e-06 eta: 0:09:16 time: 0.5092 data_time: 0.0366 memory: 18104 grad_norm: 7.7569 loss: 1.9794 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0756 top1_acc_1: 0.7412 top5_acc_1: 0.8824 loss_cls_1: 0.9038 2023/02/03 11:41:39 - mmengine - INFO - Epoch(train) [256][ 820/1879] lr: 1.5933e-06 eta: 0:09:06 time: 0.5033 data_time: 0.0301 memory: 18104 grad_norm: 7.7090 loss: 2.0375 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1171 top1_acc_1: 0.8000 top5_acc_1: 0.9294 loss_cls_1: 0.9204 2023/02/03 11:41:49 - mmengine - INFO - Epoch(train) [256][ 840/1879] lr: 1.5337e-06 eta: 0:08:55 time: 0.5128 data_time: 0.0390 memory: 18104 grad_norm: 7.5884 loss: 1.9546 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0149 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.9396 2023/02/03 11:41:57 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 11:41:59 - mmengine - INFO - Epoch(train) [256][ 860/1879] lr: 1.4753e-06 eta: 0:08:45 time: 0.4969 data_time: 0.0316 memory: 18104 grad_norm: 7.4030 loss: 1.7311 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 0.8793 top1_acc_1: 0.7294 top5_acc_1: 0.9176 loss_cls_1: 0.8518 2023/02/03 11:42:09 - mmengine - INFO - Epoch(train) [256][ 880/1879] lr: 1.4180e-06 eta: 0:08:35 time: 0.5152 data_time: 0.0375 memory: 18104 grad_norm: 7.5947 loss: 2.0287 top1_acc_0: 0.8125 top5_acc_0: 0.8125 loss_cls_0: 1.1313 top1_acc_1: 0.7765 top5_acc_1: 0.9882 loss_cls_1: 0.8975 2023/02/03 11:42:19 - mmengine - INFO - Epoch(train) [256][ 900/1879] lr: 1.3619e-06 eta: 0:08:24 time: 0.5053 data_time: 0.0340 memory: 18104 grad_norm: 7.5075 loss: 2.0551 top1_acc_0: 0.6875 top5_acc_0: 0.7500 loss_cls_0: 1.1056 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.9495 2023/02/03 11:42:30 - mmengine - INFO - Epoch(train) [256][ 920/1879] lr: 1.3068e-06 eta: 0:08:14 time: 0.5024 data_time: 0.0443 memory: 18104 grad_norm: 7.6552 loss: 2.0294 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0787 top1_acc_1: 0.7765 top5_acc_1: 0.8706 loss_cls_1: 0.9507 2023/02/03 11:42:40 - mmengine - INFO - Epoch(train) [256][ 940/1879] lr: 1.2530e-06 eta: 0:08:04 time: 0.5052 data_time: 0.0312 memory: 18104 grad_norm: 7.6035 loss: 1.7811 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 0.8875 top1_acc_1: 0.7882 top5_acc_1: 0.9647 loss_cls_1: 0.8937 2023/02/03 11:42:50 - mmengine - INFO - Epoch(train) [256][ 960/1879] lr: 1.2002e-06 eta: 0:07:53 time: 0.5121 data_time: 0.0359 memory: 18104 grad_norm: 7.6912 loss: 1.9494 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.0408 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 0.9086 2023/02/03 11:43:00 - mmengine - INFO - Epoch(train) [256][ 980/1879] lr: 1.1486e-06 eta: 0:07:43 time: 0.5125 data_time: 0.0328 memory: 18104 grad_norm: 7.8307 loss: 2.0558 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1781 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.8777 2023/02/03 11:43:11 - mmengine - INFO - Epoch(train) [256][1000/1879] lr: 1.0981e-06 eta: 0:07:33 time: 0.5389 data_time: 0.0358 memory: 18104 grad_norm: 7.7076 loss: 1.9833 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.1015 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.8818 2023/02/03 11:43:22 - mmengine - INFO - Epoch(train) [256][1020/1879] lr: 1.0488e-06 eta: 0:07:23 time: 0.5219 data_time: 0.0298 memory: 18104 grad_norm: 7.4892 loss: 1.8032 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 0.9008 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.9024 2023/02/03 11:43:32 - mmengine - INFO - Epoch(train) [256][1040/1879] lr: 1.0005e-06 eta: 0:07:12 time: 0.5283 data_time: 0.0421 memory: 18104 grad_norm: 7.8956 loss: 1.8744 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 0.9239 top1_acc_1: 0.6588 top5_acc_1: 0.9059 loss_cls_1: 0.9505 2023/02/03 11:43:43 - mmengine - INFO - Epoch(train) [256][1060/1879] lr: 9.5347e-07 eta: 0:07:02 time: 0.5211 data_time: 0.0307 memory: 18104 grad_norm: 7.6870 loss: 1.9645 top1_acc_0: 0.6875 top5_acc_0: 0.8125 loss_cls_0: 1.1225 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 0.8420 2023/02/03 11:43:53 - mmengine - INFO - Epoch(train) [256][1080/1879] lr: 9.0753e-07 eta: 0:06:52 time: 0.5379 data_time: 0.0343 memory: 18104 grad_norm: 7.8285 loss: 1.9919 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.0869 top1_acc_1: 0.7647 top5_acc_1: 0.9529 loss_cls_1: 0.9050 2023/02/03 11:44:04 - mmengine - INFO - Epoch(train) [256][1100/1879] lr: 8.6272e-07 eta: 0:06:41 time: 0.5273 data_time: 0.0317 memory: 18104 grad_norm: 7.5879 loss: 1.9531 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0273 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.9258 2023/02/03 11:44:14 - mmengine - INFO - Epoch(train) [256][1120/1879] lr: 8.1904e-07 eta: 0:06:31 time: 0.5266 data_time: 0.0362 memory: 18104 grad_norm: 7.7112 loss: 2.0480 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.1591 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.8889 2023/02/03 11:44:25 - mmengine - INFO - Epoch(train) [256][1140/1879] lr: 7.7650e-07 eta: 0:06:21 time: 0.5232 data_time: 0.0305 memory: 18104 grad_norm: 7.7951 loss: 1.8454 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 0.9158 top1_acc_1: 0.6471 top5_acc_1: 0.8353 loss_cls_1: 0.9296 2023/02/03 11:44:36 - mmengine - INFO - Epoch(train) [256][1160/1879] lr: 7.3510e-07 eta: 0:06:10 time: 0.5431 data_time: 0.0360 memory: 18104 grad_norm: 7.7030 loss: 2.0020 top1_acc_0: 0.4375 top5_acc_0: 0.8750 loss_cls_0: 1.1675 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.8345 2023/02/03 11:44:46 - mmengine - INFO - Epoch(train) [256][1180/1879] lr: 6.9482e-07 eta: 0:06:00 time: 0.5144 data_time: 0.0389 memory: 18104 grad_norm: 7.6168 loss: 1.9412 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 0.9914 top1_acc_1: 0.8118 top5_acc_1: 0.9765 loss_cls_1: 0.9498 2023/02/03 11:44:57 - mmengine - INFO - Epoch(train) [256][1200/1879] lr: 6.5569e-07 eta: 0:05:50 time: 0.5336 data_time: 0.0354 memory: 18104 grad_norm: 7.4695 loss: 2.1796 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.2539 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.9257 2023/02/03 11:45:07 - mmengine - INFO - Epoch(train) [256][1220/1879] lr: 6.1769e-07 eta: 0:05:39 time: 0.5248 data_time: 0.0349 memory: 18104 grad_norm: 7.7733 loss: 1.9437 top1_acc_0: 1.0000 top5_acc_0: 1.0000 loss_cls_0: 1.0623 top1_acc_1: 0.7412 top5_acc_1: 0.8706 loss_cls_1: 0.8814 2023/02/03 11:45:18 - mmengine - INFO - Epoch(train) [256][1240/1879] lr: 5.8082e-07 eta: 0:05:29 time: 0.5239 data_time: 0.0349 memory: 18104 grad_norm: 7.6968 loss: 1.9916 top1_acc_0: 0.5625 top5_acc_0: 0.6250 loss_cls_0: 1.1456 top1_acc_1: 0.7529 top5_acc_1: 0.9059 loss_cls_1: 0.8460 2023/02/03 11:45:28 - mmengine - INFO - Epoch(train) [256][1260/1879] lr: 5.4508e-07 eta: 0:05:19 time: 0.5174 data_time: 0.0314 memory: 18104 grad_norm: 7.8680 loss: 2.2109 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2630 top1_acc_1: 0.8353 top5_acc_1: 0.9412 loss_cls_1: 0.9479 2023/02/03 11:45:39 - mmengine - INFO - Epoch(train) [256][1280/1879] lr: 5.1048e-07 eta: 0:05:08 time: 0.5518 data_time: 0.0337 memory: 18104 grad_norm: 7.7721 loss: 2.1533 top1_acc_0: 0.5625 top5_acc_0: 0.8750 loss_cls_0: 1.3237 top1_acc_1: 0.8706 top5_acc_1: 0.9647 loss_cls_1: 0.8296 2023/02/03 11:45:50 - mmengine - INFO - Epoch(train) [256][1300/1879] lr: 4.7702e-07 eta: 0:04:58 time: 0.5207 data_time: 0.0325 memory: 18104 grad_norm: 7.6817 loss: 2.1352 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.2133 top1_acc_1: 0.7882 top5_acc_1: 0.8941 loss_cls_1: 0.9219 2023/02/03 11:46:00 - mmengine - INFO - Epoch(train) [256][1320/1879] lr: 4.4469e-07 eta: 0:04:48 time: 0.5345 data_time: 0.0345 memory: 18104 grad_norm: 7.8419 loss: 1.9820 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.0939 top1_acc_1: 0.7647 top5_acc_1: 0.9176 loss_cls_1: 0.8881 2023/02/03 11:46:11 - mmengine - INFO - Epoch(train) [256][1340/1879] lr: 4.1349e-07 eta: 0:04:38 time: 0.5434 data_time: 0.0319 memory: 18104 grad_norm: 7.6122 loss: 2.1449 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.2907 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.8542 2023/02/03 11:46:22 - mmengine - INFO - Epoch(train) [256][1360/1879] lr: 3.8343e-07 eta: 0:04:27 time: 0.5448 data_time: 0.0349 memory: 18104 grad_norm: 7.8237 loss: 2.2033 top1_acc_0: 0.5625 top5_acc_0: 0.9375 loss_cls_0: 1.2742 top1_acc_1: 0.7294 top5_acc_1: 0.9059 loss_cls_1: 0.9291 2023/02/03 11:46:33 - mmengine - INFO - Epoch(train) [256][1380/1879] lr: 3.5450e-07 eta: 0:04:17 time: 0.5140 data_time: 0.0322 memory: 18104 grad_norm: 7.7023 loss: 2.0274 top1_acc_0: 0.5000 top5_acc_0: 0.8125 loss_cls_0: 1.1285 top1_acc_1: 0.7529 top5_acc_1: 0.9176 loss_cls_1: 0.8988 2023/02/03 11:46:43 - mmengine - INFO - Epoch(train) [256][1400/1879] lr: 3.2671e-07 eta: 0:04:07 time: 0.5425 data_time: 0.0432 memory: 18104 grad_norm: 7.7891 loss: 2.1173 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 1.1804 top1_acc_1: 0.7765 top5_acc_1: 0.9294 loss_cls_1: 0.9368 2023/02/03 11:46:54 - mmengine - INFO - Epoch(train) [256][1420/1879] lr: 3.0005e-07 eta: 0:03:56 time: 0.5345 data_time: 0.0332 memory: 18104 grad_norm: 7.6563 loss: 2.1268 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.2056 top1_acc_1: 0.7529 top5_acc_1: 0.9412 loss_cls_1: 0.9212 2023/02/03 11:47:04 - mmengine - INFO - Epoch(train) [256][1440/1879] lr: 2.7453e-07 eta: 0:03:46 time: 0.5126 data_time: 0.0361 memory: 18104 grad_norm: 7.8248 loss: 2.0254 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0922 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9332 2023/02/03 11:47:15 - mmengine - INFO - Epoch(train) [256][1460/1879] lr: 2.5014e-07 eta: 0:03:36 time: 0.5229 data_time: 0.0390 memory: 18104 grad_norm: 7.4742 loss: 1.9851 top1_acc_0: 0.5000 top5_acc_0: 0.7500 loss_cls_0: 1.1097 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.8754 2023/02/03 11:47:26 - mmengine - INFO - Epoch(train) [256][1480/1879] lr: 2.2688e-07 eta: 0:03:25 time: 0.5376 data_time: 0.0358 memory: 18104 grad_norm: 7.6622 loss: 1.8569 top1_acc_0: 0.9375 top5_acc_0: 0.9375 loss_cls_0: 0.9835 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 0.8735 2023/02/03 11:47:36 - mmengine - INFO - Epoch(train) [256][1500/1879] lr: 2.0476e-07 eta: 0:03:15 time: 0.5215 data_time: 0.0308 memory: 18104 grad_norm: 7.5718 loss: 1.9635 top1_acc_0: 0.6875 top5_acc_0: 0.8750 loss_cls_0: 1.0856 top1_acc_1: 0.8118 top5_acc_1: 0.9529 loss_cls_1: 0.8778 2023/02/03 11:47:47 - mmengine - INFO - Epoch(train) [256][1520/1879] lr: 1.8377e-07 eta: 0:03:05 time: 0.5158 data_time: 0.0359 memory: 18104 grad_norm: 7.7689 loss: 2.2025 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 1.3036 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 0.8989 2023/02/03 11:47:58 - mmengine - INFO - Epoch(train) [256][1540/1879] lr: 1.6392e-07 eta: 0:02:54 time: 0.5608 data_time: 0.0348 memory: 18104 grad_norm: 7.5723 loss: 1.9840 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.0759 top1_acc_1: 0.8000 top5_acc_1: 0.9176 loss_cls_1: 0.9080 2023/02/03 11:48:08 - mmengine - INFO - Epoch(train) [256][1560/1879] lr: 1.4520e-07 eta: 0:02:44 time: 0.5318 data_time: 0.0352 memory: 18104 grad_norm: 7.7316 loss: 2.0007 top1_acc_0: 0.6250 top5_acc_0: 0.8750 loss_cls_0: 1.1052 top1_acc_1: 0.7176 top5_acc_1: 0.9059 loss_cls_1: 0.8954 2023/02/03 11:48:19 - mmengine - INFO - Epoch(train) [256][1580/1879] lr: 1.2762e-07 eta: 0:02:34 time: 0.5270 data_time: 0.0318 memory: 18104 grad_norm: 7.6695 loss: 2.0889 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.0958 top1_acc_1: 0.8118 top5_acc_1: 0.9294 loss_cls_1: 0.9931 2023/02/03 11:48:30 - mmengine - INFO - Epoch(train) [256][1600/1879] lr: 1.1117e-07 eta: 0:02:23 time: 0.5386 data_time: 0.0403 memory: 18104 grad_norm: 7.8427 loss: 2.1517 top1_acc_0: 0.8125 top5_acc_0: 0.8750 loss_cls_0: 1.2359 top1_acc_1: 0.7059 top5_acc_1: 0.9294 loss_cls_1: 0.9158 2023/02/03 11:48:40 - mmengine - INFO - Epoch(train) [256][1620/1879] lr: 9.5858e-08 eta: 0:02:13 time: 0.5334 data_time: 0.0372 memory: 18104 grad_norm: 7.8779 loss: 2.1788 top1_acc_0: 0.7500 top5_acc_0: 0.9375 loss_cls_0: 1.1953 top1_acc_1: 0.8471 top5_acc_1: 0.9529 loss_cls_1: 0.9835 2023/02/03 11:48:51 - mmengine - INFO - Epoch(train) [256][1640/1879] lr: 8.1678e-08 eta: 0:02:03 time: 0.5310 data_time: 0.0279 memory: 18104 grad_norm: 7.4495 loss: 1.8417 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0120 top1_acc_1: 0.7059 top5_acc_1: 0.9176 loss_cls_1: 0.8297 2023/02/03 11:49:02 - mmengine - INFO - Epoch(train) [256][1660/1879] lr: 6.8632e-08 eta: 0:01:52 time: 0.5318 data_time: 0.0360 memory: 18104 grad_norm: 7.8010 loss: 1.8685 top1_acc_0: 0.6875 top5_acc_0: 0.9375 loss_cls_0: 0.9399 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.9286 2023/02/03 11:49:13 - mmengine - INFO - Epoch(train) [256][1680/1879] lr: 5.6721e-08 eta: 0:01:42 time: 0.5461 data_time: 0.0371 memory: 18104 grad_norm: 7.5913 loss: 1.9667 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0928 top1_acc_1: 0.7647 top5_acc_1: 0.8824 loss_cls_1: 0.8738 2023/02/03 11:49:24 - mmengine - INFO - Epoch(train) [256][1700/1879] lr: 4.5944e-08 eta: 0:01:32 time: 0.5416 data_time: 0.0347 memory: 18104 grad_norm: 7.6878 loss: 1.9750 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0717 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 0.9033 2023/02/03 11:49:34 - mmengine - INFO - Epoch(train) [256][1720/1879] lr: 3.6301e-08 eta: 0:01:22 time: 0.5181 data_time: 0.0300 memory: 18104 grad_norm: 7.8570 loss: 2.0284 top1_acc_0: 0.7500 top5_acc_0: 0.8125 loss_cls_0: 1.1043 top1_acc_1: 0.7647 top5_acc_1: 0.9059 loss_cls_1: 0.9241 2023/02/03 11:49:45 - mmengine - INFO - Epoch(train) [256][1740/1879] lr: 2.7793e-08 eta: 0:01:11 time: 0.5527 data_time: 0.0358 memory: 18104 grad_norm: 7.7002 loss: 1.9931 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.0690 top1_acc_1: 0.8000 top5_acc_1: 0.9412 loss_cls_1: 0.9242 2023/02/03 11:49:55 - mmengine - INFO - Epoch(train) [256][1760/1879] lr: 2.0419e-08 eta: 0:01:01 time: 0.5183 data_time: 0.0294 memory: 18104 grad_norm: 7.7389 loss: 2.0620 top1_acc_0: 0.8750 top5_acc_0: 1.0000 loss_cls_0: 1.1816 top1_acc_1: 0.7882 top5_acc_1: 0.9412 loss_cls_1: 0.8804 2023/02/03 11:50:06 - mmengine - INFO - Epoch(train) [256][1780/1879] lr: 1.4180e-08 eta: 0:00:51 time: 0.5393 data_time: 0.0381 memory: 18104 grad_norm: 7.7296 loss: 2.1152 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 1.1883 top1_acc_1: 0.6235 top5_acc_1: 0.8941 loss_cls_1: 0.9269 2023/02/03 11:50:17 - mmengine - INFO - Epoch(train) [256][1800/1879] lr: 9.0753e-09 eta: 0:00:40 time: 0.5299 data_time: 0.0285 memory: 18104 grad_norm: 7.7104 loss: 1.9049 top1_acc_0: 0.7500 top5_acc_0: 0.8750 loss_cls_0: 0.9926 top1_acc_1: 0.7412 top5_acc_1: 0.9176 loss_cls_1: 0.9123 2023/02/03 11:50:27 - mmengine - INFO - Epoch(train) [256][1820/1879] lr: 5.1048e-09 eta: 0:00:30 time: 0.5271 data_time: 0.0492 memory: 18104 grad_norm: 7.5464 loss: 1.8518 top1_acc_0: 0.8750 top5_acc_0: 0.9375 loss_cls_0: 0.9688 top1_acc_1: 0.8471 top5_acc_1: 0.9412 loss_cls_1: 0.8830 2023/02/03 11:50:38 - mmengine - INFO - Epoch(train) [256][1840/1879] lr: 2.2688e-09 eta: 0:00:20 time: 0.5166 data_time: 0.0307 memory: 18104 grad_norm: 7.6894 loss: 1.9333 top1_acc_0: 0.9375 top5_acc_0: 1.0000 loss_cls_0: 1.0516 top1_acc_1: 0.6941 top5_acc_1: 0.9294 loss_cls_1: 0.8817 2023/02/03 11:50:46 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 11:50:48 - mmengine - INFO - Epoch(train) [256][1860/1879] lr: 5.6721e-10 eta: 0:00:09 time: 0.5336 data_time: 0.0362 memory: 18104 grad_norm: 7.7277 loss: 1.9377 top1_acc_0: 0.8125 top5_acc_0: 0.9375 loss_cls_0: 1.0938 top1_acc_1: 0.8353 top5_acc_1: 0.9529 loss_cls_1: 0.8439 2023/02/03 11:50:58 - mmengine - INFO - Exp name: slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb_20230202_124452 2023/02/03 11:50:58 - mmengine - INFO - Epoch(train) [256][1879/1879] lr: 1.4180e-12 eta: 0:00:00 time: 0.5125 data_time: 0.0377 memory: 18104 grad_norm: 8.1651 loss: 2.0144 top1_acc_0: 0.8571 top5_acc_0: 1.0000 loss_cls_0: 1.1740 top1_acc_1: 0.7529 top5_acc_1: 0.8706 loss_cls_1: 0.8404 2023/02/03 11:50:59 - mmengine - INFO - Saving checkpoint at 256 epochs 2023/02/03 11:51:10 - mmengine - INFO - Epoch(val) [256][ 20/155] eta: 0:01:02 time: 0.4632 data_time: 0.3510 memory: 1900 2023/02/03 11:51:19 - mmengine - INFO - Epoch(val) [256][ 40/155] eta: 0:00:51 time: 0.4376 data_time: 0.3263 memory: 1900 2023/02/03 11:51:27 - mmengine - INFO - Epoch(val) [256][ 60/155] eta: 0:00:42 time: 0.4323 data_time: 0.3210 memory: 1900 2023/02/03 11:51:37 - mmengine - INFO - Epoch(val) [256][ 80/155] eta: 0:00:33 time: 0.4631 data_time: 0.3523 memory: 1900 2023/02/03 11:51:46 - mmengine - INFO - Epoch(val) [256][100/155] eta: 0:00:24 time: 0.4431 data_time: 0.3313 memory: 1900 2023/02/03 11:51:55 - mmengine - INFO - Epoch(val) [256][120/155] eta: 0:00:15 time: 0.4537 data_time: 0.3433 memory: 1900 2023/02/03 11:52:03 - mmengine - INFO - Epoch(val) [256][140/155] eta: 0:00:06 time: 0.4370 data_time: 0.3258 memory: 1900 2023/02/03 11:52:11 - mmengine - INFO - Epoch(val) [256][155/155] acc/top1: 0.7117 acc/top5: 0.8918 acc/mean1: 0.7116 2023/02/03 11:52:11 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_r50_16xb16-8x8x1-256e_imagenet-kinetics400-rgb/best_acc/top1_epoch_252.pth is removed 2023/02/03 11:52:13 - mmengine - INFO - The best checkpoint with 0.7117 acc/top1 at 256 epoch is saved to best_acc/top1_epoch_256.pth.